Adaptive Momentum Oscillator [LuxAlgo]The Adaptive Momentum Oscillator tool allows traders to measure the current relative momentum over a given period using the maximum delta in price.
It features a histogram with gradient color, divergences, and an adaptive moving average that allows traders to clearly see the smoothed trend direction.
🔶 USAGE
This unbounded oscillator has positive momentum when values are above 0 and negative momentum when values are below 0. The adaptive moving average is used as a minimum lag smoothing tool over the momentum histogram.
🔹 Signal Line
There are two main uses for the signal line drawn on the chart above.
Momentum crosses above or below the signal line: acceleration in momentum.
Signal line crosses the 0 value: positive or negative momentum.
🔹 Data Length
On the chart above, we can compare different length sizes and how the tool values change, allowing traders to get a shorter or longer-term view of current market strength.
🔹 Smoothing Length
In the previous figure, we can compare how different Smoothing Length values affect the oscillator output.
🔹 Divergences
The divergence detector is disabled by default. Traders can enable it and adjust the divergence length from the settings panel.
As we can see in the chart above, by changing the length of the divergences, traders can fine-tune their detection, a small number will detect smaller divergences, and use a larger number for larger divergences.
🔶 SETTINGS
Data: Select data source, close price by default
Data Length: Select the length for data gathering
Smoothing Length: Select the length for data smoothing
Divergences: Enable/Disable divergences detection and length
지표 및 전략
Smart Trend Lines [The_lurker]
Smart Trend Lines
A multi-level trend classifier that detects bullish and bearish conditions using a methodology based on drawing trend lines—main, intermediate, and short-term—by identifying peaks and troughs. The tool highlights trend strength by applying filters such as the Average Directional Index (ADX) (A), Relative Strength Index (RSI) (R), and Volume (V), making it easier to interpret trend strength. The filter markers (V, A, R) in the Smart Trend Lines indicator are powerful tools for assessing the reliability of breakouts. Breakouts containing are the most reliable, as they indicate strong volume support, trend strength, and favorable momentum. Breakouts with partial filters (such as or ) require additional confirmation, while breakouts without filters ( ) should be avoided unless supported by other strong signals. By understanding the meaning of each filter and the market context.
Core Functionality
1. Trend Line Types
The indicator generates three distinct trend line categories, each serving a specific analytical purpose:
Main Trend Lines: These are long-term trend lines designed to capture significant market trends. They are calculated based on pivot points over a user-defined period (default: 50 bars). Main trend lines are ideal for identifying macro-level support and resistance zones.
Mid Trend Lines: These are medium-term trend lines (default: 21 bars) that focus on intermediate price movements. They provide a balance between short-term fluctuations and long-term trends, suitable for swing trading strategies.
Short Trend Lines: These are short-term trend lines (default: 9 bars) that track rapid price changes. They are particularly useful for scalping or day trading, highlighting immediate support and resistance levels.
Each trend line type can be independently enabled or disabled, allowing traders to tailor the indicator to their preferred timeframes.
2. Breakout Detection
The indicator employs a robust breakout detection system that identifies when the price crosses a trend line, signaling a potential trend reversal or continuation. Breakouts are validated using the following filters:
ADX Filter: The Average Directional Index (ADX) measures trend strength. A user-defined threshold (default: 20) ensures that breakouts occur during strong trends, reducing false signals in range-bound markets.
RSI Filter: The Relative Strength Index (RSI) identifies overbought or oversold conditions. Breakouts are filtered based on RSI thresholds (default: 65 for overbought, 35 for oversold) to avoid signals in extreme market conditions.
Volume Filter: Breakouts are confirmed only when trading volume exceeds a moving average (default: 20 bars) and aligns with the breakout direction (e.g., higher volume on bullish breakouts when the candle closes higher).
Breakout events are marked with labels on the chart, indicating the type of trend line broken (Main, Mid, or Short) and the filters satisfied (Volume, ADX, RSI). Alerts are triggered for each breakout, providing real-time notifications.
3. Customization Options
The indicator offers extensive customization through input settings, organized into logical groups for ease of use:
Main Trend Line Settings
Length: Defines the number of bars used to calculate pivot points (default: 50).
Bullish Color: Color for upward-sloping (bullish) main trend lines (default: green).
Bearish Color: Color for downward-sloping (bearish) main trend lines (default: red).
Style: Line style options include solid, dashed, or dotted (default: solid).
Mid Trend Line Settings
Length: Number of bars for mid-term pivot points (default: 21).
Show/Hide: Toggle visibility of mid trend lines (default: enabled).
Bullish Color: Color for bullish mid trend lines (default: lime).
Bearish Color: Color for bearish mid trend lines (default: maroon).
Style: Line style (default: dashed).
Short Trend Line Settings
Length: Number of bars for short-term pivot points (default: 9).
Show/Hide: Toggle visibility of short trend lines (default: enabled).
Bullish Color: Color for bullish short trend lines (default: teal).
Bearish Color: Color for bearish short trend lines (default: purple).
Style: Line style (default: dotted).
General Display Settings
Break Check Price: Selects the price type for breakout detection (Close, High, or Low; default: Close).
Show Previous Trendlines: Option to display historical main trend lines (default: disabled).
Label Size: Size of breakout labels (Tiny, Small, Normal, Large, Huge; default: Small).
Filter Settings
ADX Threshold: Minimum ADX value for trend strength confirmation (default: 25).
Volume MA Period: Period for the volume moving average (default: 20).
RSI Filter: Enable/disable RSI filtering (default: enabled).
RSI Upper Threshold: Upper RSI limit for overbought conditions (default: 65).
RSI Lower Threshold: Lower RSI limit for oversold conditions (default: 35).
4. Technical Calculations
The indicator relies on several technical calculations to ensure accuracy:
Pivot Points: Pivot highs and lows are detected using the ta.pivothigh and ta.pivotlow functions, with separate lengths for Main, Mid, and Short trend lines.
Slope Calculation: The slope of each trend line is calculated as the change in price divided by the change in bar index between two pivot points.
ADX Calculation: ADX is computed using a 14-period Directional Movement Index (DMI), with smoothing over 14 bars.
RSI Calculation: RSI is calculated over a 14-period lookback using the ta.rsi function.
Volume Moving Average: A simple moving average (SMA) of volume is used to determine if current volume exceeds the average.
5. Strict Mode Validation
To ensure the reliability of trend lines, the indicator employs a strict mode check:
For bearish trend lines, all prices between pivot points must remain below the projected trend line.
For bullish trend lines, all prices must remain above the projected trend line.
Post-pivot break checks ensure that no breakouts occur between pivot points, enhancing the validity of the trend line.
6. Trend Line Extension
Trend lines are dynamically extended forward until a breakout occurs. The extension logic:
Projects the trend line using the calculated slope.
Continuously validates the extension using strict mode checks.
Stops extension upon a breakout, fixing the trend line at the breakout point.
7. Alerts and Labels
Labels: Breakout labels are placed above (for bearish breakouts) or below (for bullish breakouts) the price bar. Labels include:
A prefix indicating the trend line type (B for Main, M for Mid, S for Short).
A suffix showing satisfied filters (e.g., for Volume, ADX, and RSI).
Alerts: Each breakout triggers a one-time alert per bar close, with a descriptive message indicating the trend line type and filters met.
Detailed Code Breakdown
1. Initialization and Inputs
The script begins by defining the indicator with indicator('Smart Trend Lines ', overlay = true), ensuring it overlays on the price chart. Input settings are grouped into categories (Main, Mid, Short, General Display, Filters) for user convenience. Each input includes a tooltip in both English and Arabic, enhancing accessibility.
2. Technical Indicator Calculations
Volume MA: Calculated using ta.sma(volume, volPeriod) to compare current volume against the average.
ADX: Computed using custom dirmov and adx functions, which calculate the Directional Movement Index and smooth it over 14 periods.
RSI: Calculated with ta.rsi(close, rsiPeriod) over 14 periods.
Price Selection: The priceToCheck function selects the price type (Close, High, or Low) for breakout detection.
3. Pivot Detection
Pivot points are detected using ta.pivothigh and ta.pivotlow for each trend line type. The lookback period is set to the respective trend line length (e.g., 50 for Main, 21 for Mid, 9 for Short).
4. Trend Line Logic
For each trend line type (Main, Mid, Short):
Bearish Trend Lines: Identified when two consecutive pivot highs form a downward slope. The script validates the trend line using strict mode and post-pivot break checks.
Bullish Trend Lines: Identified when two consecutive pivot lows form an upward slope, with similar validation.
Trend lines are drawn using line.new, with separate lines for the initial segment (between pivots) and the extended segment (from the second pivot forward).
5. Breakout Detection and Labeling
Breakouts are detected when the selected price crosses the trend line level. The script checks:
Volume conditions (above average and aligned with candle direction).
ADX condition (above threshold).
RSI condition (within thresholds if enabled). Labels are created with label.new, and alerts are triggered with alert.
6. Trend Line Extension
The extendTrendline function dynamically updates the trend line’s endpoint unless a breakout occurs. It uses strict mode checks to ensure the trend line remains valid.
7. Previous Trend Lines
If enabled, previous main trend lines are stored in arrays (previousBearishStartLines, previousBullishTrendLines, etc.) and displayed on the chart, providing historical context.
Disclaimer:
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
FeraTrading Sessions High/LowThe FeraTradiang Sessions High/Low Indicator plots precise high and low levels for the New York, London, and Asian trading sessions — without any clutter.
We designed this tool for simplicity, clarity and accuracy, automatically adjusting to any timeframe and time zone — no manual setup required.
🔍 Key Features:
Clean horizontal lines marking session highs and lows
Lines start at the actual high/low
Session times:
New York: 09:30 – 17:00
London: 03:00 – 08:00
Asian: 18:00 – 03:00
Real-time updates that trail live candles
Only shows the most relevant sessions:
Yesterday’s NY
Last night’s Asia + morning continuation
Today’s London
Fully customizable:
Session colors
Label toggle
Line extension settings
Enable extended trading hours on your chart for best results.
Whether you're trading futures, forex, or crypto, this indicator provides clean session context without the mess. Open-source for extra customization and designed for real-time usability.
Camarilla Pivot Plays█ OVERVIEW
This indicator implements the Camarilla Pivot Points levels and a system for suggesting particular plays. It only calculates and shows the 3rd, 4th, and 6th levels, as these are the only ones used by the system. In total, there are 12 possible plays, grouped into two groups of six. The algorithm constantly evaluates conditions for entering and exiting the plays and indicates them in real time, also triggering user-configurable alerts.
█ CREDITS
The Camarilla pivot plays are defined in a strategy developed by Thor Young, and the whole system is explained in his book "A Complete Day Trading System" . The indicator is published with his permission, and he is a user of it. The book is not necessary in order to understand and use the indicator; this description contains sufficient information to use it effectively.
█ FEATURES
Automatically draws plays, suggesting an entry, stop-loss, and maximum target
User can set alerts on chosen ticker to call these plays, even when not currently viewing them
Highly configurable via many options
Works for US/European stocks and US futures (at least)
Works correctly on both RTH and ETH charts
Automatically switches between RTH and ETH data
Optionally also shows the "other" set of pivots (RTH vs ETH data)
Configurable behaviour in the pre-market, not active in the post-market
Configurable sensitivity of the play detection algorithm
Can also show weekly and monthly Camarilla pivots
Well-documented options tooltips
Sensible defaults which are suitable for immediate use
Well-documented and high-quality open-source code for those who are interested
█ HOW TO USE
The defaults work well; at a minimum, just add the indicator and watch the plays being called. To avoid having to watch securities, by selecting the three dots next to the indicator name, you can set an alert on the indicator and choose to be alerted on play entry or exit events—or both. The following diagram shows several plays activated in the past (with the "Show past plays" option selected).
By default, the indicator draws plays 5 days back; this can be changed up to 20 days. The labels can be shifted left/right using the "label offset" option to avoid overlapping with other labels in this indicator or those of another indicator.
An information box at the top-right of the chart shows:
The data currently in use for the main pivots. This can switch in the pre-market if the H/L range exceeds the previous day's H/L, and if it does, you will see that switch at the time that it happens
Whether the current day's pivots are in a higher or lower range compared to the previous day's. This is based on the RTH close, so large moves in the post-market won't be reflected (there is an advanced option to change this)
The width of the value relationship in the current day compared to the previous day
The currently active play. If multiple plays are active in parallel, only the last activated one is shown
The resistance pivots are all drawn in the same colour (red by default), as are the support pivots (green by default). You can change the resistance and support colours, but it is not possible to have different colours for different levels of the same kind. Plays will always use the correct colour, drawing over the pivots. For example, R4 is red by default, but if a play treats R4 as a support, then the play will draw a green line (by default) over the red R4 line, thereby hiding it while the play is active.
There are a few advanced parameters; leave these as default unless you really know what they do. Please note the script is complicated—it does a lot. You might need to wait a few seconds while it (re)calculates on new tickers or when changing options. Give it time when first loading or changing options!
█ CONCEPTS
The indicator is focused around daily Camarilla pivots and implements 12 possible plays: 6 when in a higher range, 6 when in a lower range. The plays are labelled by two letters—the first indicates the range, the second indicates the play—as shown in this diagram:
The pivots can be calculated using only RTH (Regular Trading Hours) data, or ETH (Extended Trading Hours) data, which includes the pre-market and post-market. The indicator implements logic to automatically choose the correct data, based on the rules defined by the strategy. This is user-overridable. With the default options, ETH will be used when the H/L range in the previous day's post-market or current day's pre-market exceeds that of the previous day's regular market. In auto mode, the chosen pivots are considered the main pivots for that day and are the ones used for play evaluation. The "other" pivots can also be shown—"other" here meaning using ETH data when the main pivots use RTH data, and vice versa.
When displaying plays in the pre-market, since the RTH open is not yet known (and that value is needed to evaluate play pre-conditions), the pre-market open is used as a proxy for the RTH open. After the regular market opens, the correct RTH open is used to evaluate play conditions.
█ NOTE FOR FUTURES
Futures always use full ETH data in auto mode. Users may, however, wish to use the option "Always use RTH close," which uses the 3 p.m. Central Time (CME/Chicago) as a basis for the close in the pivot calculations (instead of the 4 p.m. actual close).
Futures don't officially have a pre-market or post-market like equities. Let's take ES on CME as an example (CME is in Chicago, so all times are Central Time, i.e., 1 hour behind Eastern Time). It trades from 17:00 Sunday to 16:00 Friday, with a daily pause between 16:00 and 17:00. However, most of the trading activity is done between 08:30 and 15:00 (Central), which you can tell from the volume spikes at those times, and this coincides with NYSE/NASDAQ regular hours (09:30–16:00 Eastern). So we define a pseudo-pre-market from 17:00 the previous day to 08:30 on the current day, then a pseudo-regular market from 08:30 to 15:00, then a pseudo-post-market from 15:00 to 16:00.
The indicator then works exactly the same as with equities—all the options behave the same, just with different session times defined for the pre-, regular, and post-market, with "RTH" meaning just the regular market and "ETH" meaning all three. The only difference from equities is that the auto calculation mode always uses ETH instead of switching based on ETH range compared to RTH range. This is so users who just leave all the defaults are not confused by auto-switching of the calculation mode; normally you'll want the pivots based on all the (ETH) data. However, both "Force RTH" and "Use RTH close with ETH data" work the same as with equities—so if, in the calculations, you really want to only use RTH data, or use all ETH H/L data but use the RTH close (at 15:00), you can.
█ LIMITATIONS
The pivots are very close to those shown in DAS Trader Pro. They are not to-the-cent exact, but within a few cents. The reasons are:
TradingView uses real-time data from CBOE One, so doesn't have access to full exchange data (unless you pay for it in TradingView), and
the close/high/low are taken from the intraday timeframe you are currently viewing, not daily data—which are very close, but often not exactly the same. For example, the high on the daily timeframe may differ slightly from the daily high you'll see on an intraday timeframe.
I have occasionally seen larger than a few cents differences in the pivots between these and DAS Trader Pro—this is always due to differences in data, for example a big spike in the data in TradingView but not in DAS Trader Pro, or vice versa. The more traded the stock is, the less the difference tends to be. Highly traded stocks are usually within a few cents. Less traded stocks may be more (for example, 30¢ difference in R4 is the highest I've seen). If it bothers you, official NYSE/NASDAQ data in TradingView is quite inexpensive (but even that doesn't make the 8am candle identical).
The 6th Camarilla level does not have a standard definition and may not match the level shown on other platforms. It does match the definition used by DAS Trader Pro.
The indicator is an intraday indicator (despite also being able to show weekly and monthly pivots on an intraday chart). It deactivates on a daily timeframe and higher. It is untested on sub-minute timeframes; you may encounter runtime errors on these due to various historical data referencing issues. Also, the play detection algorithm would likely be unpredictable on sub-minute timeframes. Therefore, sub-minute timeframes are formally unsupported.
The indicator was developed and tested for US/European stocks and US futures. It may or may not work as intended for stocks and futures in different locations. It does not work for other security types (e.g., crypto), where I have no evidence that the strategy has any relevance.
Black Candle - First Sell/Buy Signalthis indicator is based on price action and moving averages. it will give you buy and sell indications with good accuracy
GainzAlgo Standard// © GainzAlgo
//@version=5
indicator('GainzAlgo Standard', overlay=true, max_labels_count=500)
stable_candle = math.abs(close - open) / ta.tr > .5
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below_50 = rsi < 50
decrease_over_5 = close < close
bull = bullish_engulfing and stable_candle and rsi_below_50 and decrease_over_5
bearish_engulfing = close > open and close < open and close < open
rsi_above_50 = rsi > 50
increase_over_5 = close > close
bear = bearish_engulfing and stable_candle and rsi_above_50 and increase_over_5
label.new(bull ? bar_index : na, low, 'BUY', color=color.rgb(0, 255, 8), style=label.style_label_up, textcolor=color.white, size=size.large)
label.new(bear ? bar_index : na, high, 'SELL', color=color.rgb(255, 0, 0), style=label.style_label_down, textcolor=color.white, size=size.large)
TargetTrend GOLD SCALPER v1.1✅ Does NOT use label.new() – instead uses plotshape() (which always works reliably)
✅ Still displays BUY/SELL signals as arrows on the chart
✅ Includes all levels: TP1, TP2, TP3, Stop Loss, BreakEven, and market structure detection (BOS / CHoCH)
✅ Works flawlessly in Pine Script v5 without errors or bugs
Chart Patterns [ActiveQuants]The Chart Patterns indicator is a comprehensive tool designed to automatically identify a variety of common chart patterns directly on your price chart. By detecting sequences of pivot highs and lows , this indicator helps traders spot potential trend continuations , reversals , and key market structures such as Double Tops and Double Bottoms . Enhance your technical analysis by quickly recognizing these formations as they emerge.
How It Works
The indicator operates in a two-stage process:
Pivot Point Detection: It first identifies significant swing highs and swing lows (pivot points) based on a user-defined Period . These pivots form the fundamental building blocks for pattern recognition.
Pattern Recognition: Using the sequence of these detected pivot points, the script then applies logical rules to identify the following patterns:
Lower Low (LL)
Lower Low & Lower High (LL & LH)
Higher High (HH)
Higher High & Higher Low (HH & HL)
Double Tops
Double Bottoms
Patterns are drawn on the chart with connecting lines and labeled for easy identification. Double Tops and Double Bottoms also feature a status system: " Active " while forming, " Confirmed " upon neckline breakout, or " Invalid " if specific conditions negate the pattern before confirmation.
█ KEY FEATURES
Comprehensive Pattern Detection: Identifies six distinct types of chart patterns, offering insights into both trend continuation and potential reversals.
Pivot-Based Analysis: Uses a robust method of identifying pivot highs and lows as the foundation for pattern formation.
Pattern Status for Double Tops/Bottoms:
- Active: A Double Top or Double Bottom pattern has formed its two peaks/troughs and the intervening neckline point, but the price has not yet broken beyond the neckline. The pattern is developing .
- Confirmed: The price has decisively closed beyond the neckline (below for Double Top, above for Double Bottom), signaling a potential entry or validation of the pattern.
- Invalid: An " Active " Double Top or Double Bottom pattern can be invalidated if, before a neckline breakout occurs, a new pivot point forms that negates the pattern’s structural integrity. For example, if a new pivot low forms above or at the neckline of an Active Double Top, the pattern is considered invalid because the market failed to break down and instead showed relative strength.
Customizable Visuals: Allows users to define colors for bullish and bearish patterns, line widths, and the visibility of pivot points.
Selective Pattern Display: Users can choose to display all patterns or filter by status (Active, Confirmed, Invalid) for Double Tops/Bottoms. Individual pattern types can also be toggled on or off.
Historical Analysis Control: The Show Last History (Bars) input allows users to specify how far back the indicator should plot patterns, optimizing performance and chart readability.
Clear Labeling: Patterns are clearly labeled on the chart, with Double Tops/Bottoms also showing " Top 1 ," " Top 2 ," or " Bottom 1 ," " Bottom 2 " labels.
█ PATTERNS DETECTED
Lower Low (LL): Indicates a potential bearish continuation or the start of a downtrend. Forms when price makes a lower low during an uptrend.
Lower Low & Lower High (LL & LH): A stronger confirmation of a bearish trend, where the market forms a lower low followed by a lower high .
Higher High (HH): Signals a potential bullish continuation or the start of an uptrend. Forms when price makes a higher high during a downtrend.
Higher High & Higher Low (HH & HL): A stronger confirmation of a bullish trend, where the market forms a higher high followed by a higher low .
Double Top: A bearish reversal pattern characterized by two distinct peaks at roughly the same price level, separated by a trough (neckline). Confirmation occurs when price breaks below the neckline.
Double Bottom: A bullish reversal pattern featuring two distinct troughs at roughly the same price level, separated by a peak (neckline). Confirmation occurs when price breaks above the neckline.
█ EXAMPLE: DOUBLE TOP INVALIDATION
Understanding how a Double Top or Double Bottom can be invalidated is crucial. Here's an example for a Double Top:
Formation: The indicator identifies two peaks (Top 1, Top 2) at a similar price level, with a corrective trough (Neckline Pivot P5) in between. The pattern is labeled " Double Top " and is in an " Active " state. ( Imagine points P4 and P6 are the two tops, and P5 is the low point of the neckline between them ).
Pre-Breakout Condition: The price action continues, but before it breaks decisively below the P5 neckline level, a new significant swing low (a new pivot low) forms.
Invalidation Check: The indicator checks the price level of this new pivot low. If this new pivot low occurs at a price equal to or higher than the P5 neckline level, the " Active " Double Top pattern is re-labeled as " Invalid Double Top ". ( See image below for a visual representation of this scenario )
In this example, the Double Top formed with Top 1 (P4) and Top 2 (P6). The neckline is at P5. Before price broke below P5, a new pivot low formed at the red circle. Since this new pivot low is above the P5 neckline, the Double Top is marked " Invalid ".
The logic is that the market failed to break the neckline support and instead established a higher low (or a low at the support level), suggesting that the immediate bearish pressure has waned, thus invalidating the bearish reversal implication of the Double Top before it could confirm. A similar logic applies to Double Bottoms (a new pivot high forming below or at the neckline before an upside breakout).
█ USER INPUTS
Visibility and Common Styling
- Show Last History (Bars):
Specifies the number of recent bars the indicator will analyze and plot patterns on.
Default: 3000 bars. Min: 10.
- Patterns:
Filters which patterns are displayed based on their status.
Options: All, Active, Confirmed, Invalid.
Default: All.
- Pattern Line Width:
Sets the thickness of the lines used to draw the patterns.
Default: 1. Min: 1, Max: 10.
- Bearish Color:
Color for bearish patterns (LL, LL & LH, Double Tops).
Default: Red.
- Bullish Color:
Color for bullish patterns (HH, HH & HL, Double Bottoms).
Default: Green.
Pivot Points
- Period:
The lookback period on either side of a bar to qualify it as a pivot high or low. Higher values detect more significant pivots.
Default: 10 bars. Min: 2.
- Show Pivot Highs:
Toggles the visibility of detected pivot high markers.
Default: Enabled.
- Show Pivot Lows:
Toggles the visibility of detected pivot low markers.
Default: Enabled.
- Pivot Highs Color:
Color for the pivot high markers.
Default: #ff5252 (Reddish).
- Pivot Lows Color:
Color for the pivot low markers.
Default: #089981 (Greenish).
Patterns (Toggles)
- Lower Low:
Enable/disable detection and display of Lower Low patterns.
Default: Enabled.
- Lower Low & Lower High:
Enable/disable detection and display of Lower Low & Lower High patterns.
Default: Enabled.
- Higher High:
Enable/disable detection and display of Higher High patterns.
Default: Enabled.
- Higher High & Higher Low:
Enable/disable detection and display of Higher High & Higher Low patterns.
Default: Enabled.
- Double Tops:
Enable/disable detection and display of Double Top patterns.
Default: Enabled.
- Double Bottoms:
Enable/disable detection and display of Double Bottom patterns.
Default: Enabled.
█ CONCLUSION
The Chart Patterns indicator is a versatile and powerful assistant for traders who utilize classical chart pattern analysis. By automating the detection of key formations and providing clear visual cues along with status updates for patterns like Double Tops and Bottoms, it allows traders to focus on strategy development and execution. With its customizable settings, it can be adapted to various instruments and timeframes, making it a valuable addition to any technical trader's toolkit.
█ IMPORTANT NOTES
⚠ Pivot Period Sensitivity: The Period setting for pivot detection is crucial. A shorter period will identify more frequent, smaller swings, while a longer period will focus on more significant turning points. Adjust this setting based on the asset's volatility, the timeframe you are trading and your trading style.
⚠ Confirmation is Key: While the indicator identifies patterns, always wait for pattern confirmation (e.g., neckline breaks for Double Tops/Bottoms) and consider other factors like volume and market context before making trading decisions.
⚠ Confirmed Bars for Detection: Patterns are identified based on confirmed pivot points, which means a pivot is recognized period bars after it has formed. Status updates for Double Tops/Bottoms (Active, Confirmed, Invalid) also occur on confirmed bars. This approach enhances reliability and reduces the likelihood of repainting based on intra-bar price fluctuations.
⚠ Not a Standalone System: Chart patterns provide valuable insights, but they should be used in conjunction with other technical analysis tools (e.g., trendlines, moving averages, oscillators) and a sound risk management plan.
⚠ Lagging Nature: By their very definition, chart patterns are lagging indicators as they require a sequence of price action and several pivot points to complete their formation.
█ RISK DISCLAIMER
Trading involves a substantial risk of loss and is not suitable for every investor. The information provided by the Chart Patterns indicator is for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. Chart patterns indicate potential price movements but do not guarantee future results. Always perform your own due diligence and consult with a qualified financial advisor before making any investment decisions. Past performance is not indicative of future results.
📈 Happy trading! 🚀
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
🔵 How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
🟣 Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
🟣 Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
Q Momentum FlowQ Momentum Flow
A hybrid trend engine combining breakout-driven momentum shifts with adaptive volatility bands. Designed for traders who want clear entries, intelligent exits, and a balance between reactivity and noise control.
🔧 Core Features
1. Momentum Shift Detection
• Uses dynamic breakout levels (ATR-based) to identify impulse-driven price shifts.
• Filters weak moves by enforcing a cooldown period and direction alternation.
2. Adaptive Trend Framework
• Trend direction is derived from a dual-EMA anchor with dynamic volatility bands.
• Sensitivity automatically adjusts based on smoothed price deviation.
3. Entry & Exit System
• Buy and sell arrows appear on valid momentum + trend alignment.
• Exit markers signal early trend weakening before full reversal.
• Arrows and labels are visually separated to reduce chart clutter.
4. Alerts (Fully Integrated)
• Buy and Sell alerts on valid entry triggers.
• Separate alerts for early exits based on weakening trend conditions.
• Compatible with automation or notification setups.
⚙️ Configurable Inputs
• Trend Length — Controls how fast the adaptive bands react.
• Smoothing — Smooths volatility for more stable band generation.
• Sensitivity — Adjusts band width and breakout tolerance.
• Visual Settings — Customize background color, arrow styles, and label size.
• Exit Logic — Built-in reversal detection to signal when trend weakens.
📈 How to Use
• Follow Buy/Sell arrows for directional entries.
• Stay in trade until either:
— Opposite signal appears, or
— “Exit” label triggers based on adaptive trend weakening.
• Use background and bar colors for regime clarity.
Q KAMA Clarity Trend Q KAMA Clarity Trend
A minimalistic yet versatile trend-following tool that combines **Kaufman’s Adaptive Moving Average (KAMA) with Gaussian smoothing and ATR-based breakout logic. Built for traders who value clarity, responsiveness, and visual simplicity.
🔧 Core Features
1. Adaptive KAMA Trend Line
• Dynamically adjusts to market volatility using Kaufman’s KAMA.
• Gaussian filter pre-smooths price to reduce noise before calculating KAMA.
2. Dual Trend Logic (toggle)
• Default: Trend shifts on price breakouts above/below KAMA ± ATR channel.
• Alternative: Faster signals based on price crossing KAMA directly.
3. Visual Feedback
• Auto-colored KAMA line based on trend direction (up/down/neutral).
• Arrows on trend reversals (up = green, down = red).
• Optional shadow fill below line for regime clarity.
• Optional dot marker ("⦿") on the KAMA line to show trend shifts.
4. Alerts
• Real-time alerts when a new uptrend or downtrend begins.
• Compatible with manual or automated strategies.
⚙️ Configurable Inputs
• Source: Price input (default: close)
• KAMA Length: Adjusts sensitivity (longer = smoother)
• ATR Length & Multiplier: Defines channel width for breakout detection
• Gaussian Filter (Length & Sigma): Controls smoothing strength
• Trend Logic Mode: ATR channel breakout vs. price-KAMA cross
• Style: Custom colors, background fill, marker visibility
📈 How to Use
• Follow trend arrows for directional confirmation
• Use ATR breakout mode for cleaner, filtered signals
• Switch to price-KAMA crossover mode for earlier entries
• Works well with structure, momentum, and volume confirmation
Advanced SMC
//@version=5
indicator("Advanced SMC", overlay = true, max_lines_count = 500, max_labels_count = 500, max_boxes_count = 500, max_bars_back = 1000)
//------------------------------------------------------------------------------
// Settings
//-----------------------------------------------------------------------------{
length = input.int(5, minval = 3)
//Colors
showBull = input(true, 'Bullish Structures', inline = 'bull', group = 'Style')
bullCss = input.color(#089981, '', inline = 'bull', group = 'Style')
showBear = input(true, 'Bearish Structures', inline = 'bear', group = 'Style')
bearCss = input.color(#f23645, '', inline = 'bear', group = 'Style')
showSupport = input(false, 'Support', inline = 's', group = 'Style')
supCss = input.color(#089981, '', inline = 's', group = 'Style')
showResistance = input(false, 'Resistance', inline = 'r', group = 'Style')
resCss = input.color(#f23645, '', inline = 'r', group = 'Style')
//Dashboard
showDash = input(false, 'Show Dashboard' , group = 'Dashboard')
dashLoc = input.string('Top Right', 'Location', options = , group = 'Dashboard')
textSize = input.string('Small', 'Size' , options = , group = 'Dashboard')
//-----------------------------------------------------------------------------}
//Types
//-----------------------------------------------------------------------------{
type fractal
float value
int loc
bool iscrossed
//-----------------------------------------------------------------------------}
//Fractal Detection
//-----------------------------------------------------------------------------{
var p = int(length/2)
n = bar_index
dh = math.sum(math.sign(high - high ), p)
dl = math.sum(math.sign(low - low ), p)
bullf = dh == -p and dh == p and high == ta.highest(length)
bearf = dl == p and dl == -p and low == ta.lowest(length)
bullf_count = ta.cum(bullf ? 1 : 0)
bearf_count = ta.cum(bearf ? 1 : 0)
//-----------------------------------------------------------------------------}
//Bullish market structure
//-----------------------------------------------------------------------------{
var upper = fractal.new()
var line lower_lvl = na
var label ms_lbl = na
var bull_ms_count = 0
var broken_sup = false
var os = 0
if bullf
upper.value := high
upper.loc := n-p
upper.iscrossed := false
if ta.crossover(close, upper.value) and not upper.iscrossed
line.new(upper.loc, upper.value, n, upper.value, color = showBull ? bullCss : na)
ms_lbl := label.new(int(math.avg(n, upper.loc)), upper.value, os == -1 ? 'ChoCH' : 'BOS'
, color = color(na)
, textcolor = showBull ? bullCss : na
, style = label.style_label_down
, size = size.tiny)
//Set support
k = 2
min = low
for i = 2 to (n - upper.loc)-1
min := math.min(low , min)
k := low == min ? i : k
if showSupport
lower_lvl := line.new(n-k, min, n, min, color = bullCss, style = line.style_dashed)
broken_sup := false
upper.iscrossed := true
bull_ms_count += 1
os := 1
else if showSupport and not broken_sup
lower_lvl.set_x2(n)
if close < lower_lvl.get_y2()
broken_sup := true
//-----------------------------------------------------------------------------}
//Bearish market structure
//-----------------------------------------------------------------------------{
var lower = fractal.new()
var line upper_lvl = na
var broken_res = false
var bear_ms_count = 0
if bearf
lower.value := low
lower.loc := n-p
lower.iscrossed := false
if ta.crossunder(close, lower.value) and not lower.iscrossed
line.new(lower.loc, lower.value, n, lower.value, color = showBear ? bearCss : na)
label.new(int(math.avg(n, lower.loc)), lower.value, os == 1 ? 'ChoCH' : 'BOS'
, color = color(na)
, textcolor = showBear ? bearCss : na
, style = label.style_label_up
, size = size.tiny)
//Set resistance
k = 2
max = high
for i = 2 to (n - lower.loc)-1
max := math.max(high , max)
k := high == max ? i : k
if showResistance
upper_lvl := line.new(n-k, max, n, max, color = bearCss, style = line.style_dashed)
broken_res := false
lower.iscrossed := true
bear_ms_count += 1
os := -1
else if showResistance and not broken_res
upper_lvl.set_x2(n)
if close > upper_lvl.get_y2()
broken_res := true
//-----------------------------------------------------------------------------}
//Dashboard
//-----------------------------------------------------------------------------{
var table_position = dashLoc == 'Bottom Left' ? position.bottom_left
: dashLoc == 'Top Right' ? position.top_right
: position.bottom_right
var table_size = textSize == 'Tiny' ? size.tiny
: textSize == 'Small' ? size.small
: size.normal
var tb = table.new(table_position, 2, 3
, bgcolor = #1e222d
, border_color = #373a46
, border_width = 1
, frame_color = #373a46
, frame_width = 1)
if showDash
if barstate.isfirst
tb.cell(0, 0, 'Structure To Fractal %', text_color = color.white, text_size = table_size)
tb.merge_cells(0,0,1,0)
tb.cell(0, 1, 'Bullish', text_color = #089981, text_size = table_size)
tb.cell(1, 1, 'Bearish', text_color = #f23645, text_size = table_size)
if barstate.islast
tb.cell(0, 2, str.tostring(bull_ms_count / bullf_count * 100, format.percent), text_color = #089981, text_size = table_size)
tb.cell(1, 2, str.tostring(bear_ms_count / bearf_count * 100, format.percent), text_color = #f23645, text_size = table_size)
//-----------------------------------------------------------------------------}
//Plots
//-----------------------------------------------------------------------------{
plot(broken_res and not broken_res ? low : na, 'Resistance Breakout', #089981, 2, plot.style_circles)
plot(broken_sup and not broken_sup ? high : na, 'Support Breakout', #f23645, 2, plot.style_circles)
//-----------------------------------------------------------------------------}
numDays = input.int(7, "number of days lookback")
showUP = input.bool(true, "'UP' FVGs:", inline ='1')
colUp = input.color(color.new(#2195f3, 95), "", inline ='1')
showDN = input.bool(true, "'DOWN' FVGs:", inline ='2')
colDn = input.color(color.new(#ff9900, 95), "", inline ='2')
showCE = input.bool(true, "show CE", inline ='3')
ceCol = input.color(color.new(#363a45, 95), "| color:", inline ='3')
ceStyle = input.string(line.style_dotted, "| style:", options= , inline ='3')
deleteFilledBoxes = input.bool(true, "delete filled boxes & lines")
CEcond = input.bool (true, "Use CE (as opposed to Full Fill)", group = 'conditions/alerts', tooltip = "If toggled OFF, FVGs and CEs will paint until FVG has been completely filled. This threshold is used for Above/Below threshold Alert conditions too (but does not effect the IOFED alerts): i.e. this will determine if your 'ABOVE threshold' alert fires when price hits latest active FVG CE ABOVE or latest active FVG Full Fill ABOVE Alerts are set by clicking the three dots on the indicator display line.")
colorNone = color.new(color.white, 100)
_day = 24*3600*1000
var box bxUp = na, var box bxDn = na, var line lnUp = na, var line lnDn = na
var array bxUpArr = array.new(0), var array lnUpArr = array.new(0)
var array bxDnArr = array.new(0), var array lnDnArr = array.new(0)
dnCE = high + (low -high )/2
upCE = low - (low -high )/2
if low > high and time> timenow- numDays*_day and showDN
bxDnArr.push(box.new(bar_index-3, low , bar_index, high , bgcolor = colDn, border_color = colorNone))
lnDnArr.push(line.new(bar_index-3, dnCE, bar_index, dnCE, color = showCE?ceCol:colorNone, style =ceStyle))
if high < low and time> timenow- numDays*_day and showUP
bxUpArr.push(box.new(bar_index-3, low , bar_index, high , bgcolor = colUp, border_color = colorNone))
lnUpArr.push(line.new(bar_index-3, upCE, bar_index, upCE, color = showCE?ceCol:colorNone, style =ceStyle))
var array _countArr =array.new(0)
var array _countArrIOFED =array.new(0)
//modified form of @Bjorgum's looping function. This stops boxes/lines painting when price passes to or through them
extendAndRemoveBx(array boxArray, array lineArray, array countArr1, array countArr2, simple bool isBull, int maxSize) =>
if boxArray.size() > 0
for i = boxArray.size() -1 to 0
line ln = lineArray.get(i)
box bx = boxArray.get(i)
bx.set_right(bar_index)
ln.set_x2(bar_index)
float price = CEcond?ln.get_price(bar_index):(isBull?bx.get_top():bx.get_bottom())
float price_IOFED = isBull?bx.get_bottom():bx.get_top()
int m = isBull ? 1 : -1
float hiLo = isBull ? high : low
if hiLo * m > price * m
boxArray.remove(i)
lineArray.remove(i)
countArr1.push(isBull?1:-1) //for 'above/below threshold alerts; counter sum will decrement 1 on lower threshold hit, increment 1 on upper threshold hit
if deleteFilledBoxes
bx.set_bgcolor(colorNone)
ln.set_color(colorNone)
if hiLo*m>price_IOFED*m
countArr2.push(isBull?1:-1)
if boxArray.size() > maxSize
box.delete(boxArray.shift())
line.delete(lineArray.shift())
extendAndRemoveBx(bxDnArr,lnDnArr,_countArr,_countArrIOFED, true, 12) //12 should be good for around 2200 bars of history
extendAndRemoveBx(bxUpArr, lnUpArr,_countArr,_countArrIOFED, false, 12)
upThresholdLst = array.sum(_countArr)>array.sum(_countArr)
dnThresholdLst = array.sum(_countArr)array.sum(_countArrIOFED)
dnIOFEDlast= array.sum(_countArrIOFED) nz(xATRTrailingStop , 0) ? src - nLoss : src + nLoss
iff_2 = src < nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? math.min(nz(xATRTrailingStop ), src + nLoss) : iff_1
xATRTrailingStop := src > nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? math.max(nz(xATRTrailingStop ), src - nLoss) : iff_2
pos = 0
iff_3 = src > nz(xATRTrailingStop , 0) and src < nz(xATRTrailingStop , 0) ? -1 : nz(pos , 0)
pos := src < nz(xATRTrailingStop , 0) and src > nz(xATRTrailingStop , 0) ? 1 : iff_3
xcolor = pos == -1 ? color.red : pos == 1 ? color.green : color.blue
ema = ta.ema(src, 1)
above = ta.crossover(ema, xATRTrailingStop)
below = ta.crossover(xATRTrailingStop, ema)
buy = src > xATRTrailingStop and above
sell = src < xATRTrailingStop and below
barbuy = src > xATRTrailingStop
barsell = src < xATRTrailingStop
plotshape(buy, title='Buy', text='Buy', style=shape.labelup, location=location.belowbar, color=color.new(color.green, 0), textcolor=color.new(color.white, 0), size=size.tiny)
plotshape(sell, title='Sell', text='Sell', style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 0), textcolor=color.new(color.white, 0), size=size.tiny)
barcolor(barbuy ? color.green : na)
barcolor(barsell ? color.red : na)
alertcondition(buy, 'UT Long', 'UT Long')
alertcondition(sell, 'UT Short', 'UT Short')
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
bullCss1 = input.color(color.teal, 'FVG Level' , inline = 'bull')
bullAreaCss = input.color(color.new(color.teal, 50), 'Area' , inline = 'bull')
bullMitigatedCss = input.color(color.new(color.teal, 80), 'Mitigated', inline = 'bull')
bearCss1 = input.color(color.red, 'FVG Level' , inline = 'bear')
bearAreaCss = input.color(color.new(color.red, 50), 'Area' , inline = 'bear')
bearMitigatedCss = input.color(color.new(color.red, 80), 'Mitigated' , inline = 'bear')
//-----------------------------------------------------------------------------}
//UDT's
//-----------------------------------------------------------------------------{
type fvg
float top
float btm
bool mitigated
bool isnew
bool isbull
line lvl
box area
type session_range
line max
line min
//-----------------------------------------------------------------------------}
//Methods
//-----------------------------------------------------------------------------{
nl = bar_index
//Method for setting fair value gaps
method set_fvg(fvg id, offset, bg_css, l_css)=>
avg = math.avg(id.top, id.btm)
area = box.new(nl - offset, id.top, nl, id.btm, na, bgcolor = bg_css)
avg_l = line.new(nl - offset, avg, nl, avg, color = l_css, style = line.style_dashed)
id.lvl := avg_l
id.area := area
//Method for setting session range maximum/minimum
method set_range(session_range id)=>
max = math.max(high, id.max.get_y2())
min = math.min(low, id.min.get_y2())
id.max.set_xy2(nl, max)
id.max.set_y1(max)
id.min.set_xy2(nl, min)
id.min.set_y1(min)
//-----------------------------------------------------------------------------}
//Variables
//-----------------------------------------------------------------------------{
var chartCss = color.new(chart.fg_color, 50)
var fvg sfvg = fvg.new(na, na, na, true, na)
var session_range sesr = na
var box area = na
var line avg = na
bull_fvg = low > high and close > high
bear_fvg = high < low and close < low
//Alert conditions
bull_isnew = false
bear_isnew = false
bull_mitigated = false
bear_mitigated = false
within_bull_fvg = false
within_bear_fvg = false
//-----------------------------------------------------------------------------}
//New session
//-----------------------------------------------------------------------------{
dtf = timeframe.change('D')
//On new session
if dtf
//Set delimiter
line.new(nl, high + syminfo.mintick
, nl, low - syminfo.mintick
, color = chartCss
, style = line.style_dashed
, extend = extend.both)
//Set new range
sesr := session_range.new(
line.new(nl, high, nl, high, color = chartCss)
, line.new(nl, low, nl, low, color = chartCss))
sfvg.isnew := true
//Set prior session fvg right coordinates
if not na(sfvg.lvl)
sfvg.lvl.set_x2(nl-2)
sfvg.area.set_right(nl-2)
//Set range
else if not na(sesr)
sesr.set_range()
//Set range lines color
sesr.max.set_color(sfvg.isbull ? bullCss1 : bearCss1)
sesr.min.set_color(sfvg.isbull ? bullCss1 : bearCss1)
//-----------------------------------------------------------------------------}
//Set FVG
//-----------------------------------------------------------------------------{
//New session bullish fvg
if bull_fvg and sfvg.isnew
sfvg := fvg.new(low, high , false, false, true)
sfvg.set_fvg(2, bullAreaCss, bullCss1)
bull_isnew := true
//New session bearish fvg
else if bear_fvg and sfvg.isnew
sfvg := fvg.new(low , high, false, false, false)
sfvg.set_fvg(2, bearAreaCss, bearCss1)
bear_isnew := true
//Change object transparencies if mitigated
if not sfvg.mitigated
//If session fvg is bullish
if sfvg.isbull and close < sfvg.btm
sfvg.set_fvg(1, bullMitigatedCss, bullCss1)
sfvg.mitigated := true
bull_mitigated := true
//If session fvg is bearish
else if not sfvg.isbull and close > sfvg.top
sfvg.set_fvg(1, bearMitigatedCss, bearCss1)
sfvg.mitigated := true
bear_mitigated := true
//Set fvg right coordinates to current bar
if not sfvg.isnew
sfvg.lvl.set_x2(nl)
sfvg.area.set_right(nl)
//-----------------------------------------------------------------------------}
//Alerts
//-----------------------------------------------------------------------------{
//On new session fvg
alertcondition(bull_isnew, 'Bullish FVG', 'New session bullish fvg')
alertcondition(bear_isnew, 'Bearish FVG', 'New session bearish fvg')
//On fvg mitigation
alertcondition(bull_mitigated, 'Mitigated Bullish FVG', 'Session bullish fvg has been mitigated')
alertcondition(bear_mitigated, 'Mitigated Bearish FVG', 'Session bearish fvg has been mitigated')
//If within fvg
alertcondition(close >= sfvg.btm and close <= sfvg.top and sfvg.isbull and not sfvg.isnew
, 'Price Within Bullish FVG'
, 'Price is within bullish fvg')
alertcondition(close >= sfvg.btm and close <= sfvg.top and not sfvg.isbull and not sfvg.isnew
, 'Price Within Bearish FVG'
, 'Price is within bearish fvg')
//On fvg average cross
alertcondition(ta.cross(close, math.avg(sfvg.top, sfvg.btm)) and sfvg.isbull and not sfvg.isnew
, 'Bullish FVG AVG Cross'
, 'Price crossed bullish fvg average')
alertcondition(ta.cross(close, math.avg(sfvg.top, sfvg.btm)) and not sfvg.isbull and not sfvg.isnew
, 'Bearish FVG AVG Cross'
, 'Price crossed bearish fvg average')
//-----------------------------------------------------------------------------}
//INPUTS
cooldownPeriod = input.int(10,title="Cooldown Period", minval=0, group = "Settings")
lbLeft = 20
lbRight = 20
showSwing = input.bool(true,title="Show Swings?", inline="s_1", group = 'Swing Detaction')
swingClr = input.color(color.new(color.orange, 0), title='', inline="s_1", group = 'Swing Detaction')
bullWidth = input.int(1, title='Line Width:', group='Bullish Sweep')
bullStyle = input.string('Dashed', title='Line Style:', options= , group='Bullish Sweep')
bullColor = input.color(color.new(color.teal, 0), title='Bullish Color:', group='Bullish Sweep')
bearWidth = input.int(1, title='Line Width:', group='Bearish Sweep')
bearStyle = input.string('Dashed', title='Line Style:', options= , group='Bearish Sweep')
bearColor = input.color(color.new(color.maroon, 0), title='Bearish Color:', group='Bearish Sweep')
//FUNCTIONS
lineStyle(s) =>
if s == 'Solid'
line.style_solid
else if s == 'Dotted'
line.style_dotted
else
line.style_dashed
//VARS
var int bullSignalIndex = 0
var int bearSignalIndex = 0
var line bullLine = na
var line bearLine = na
var line highLine = na
var line lowLine = na
var label swingHighLbl = na
var label swingLowLbl = na
var label swingHighLblTxt = na
var label swingLowLblTxt = na
var float swingLowVal = na
var float swingHighVal = na
//CALCULATIONS
pLow = ta.pivotlow(low, lbLeft, lbRight)
pHigh = ta.pivothigh(high, lbLeft, lbRight)
pLowVal = ta.valuewhen(not na(pLow), low , 0)
pHighVal = ta.valuewhen(not na(pHigh), high , 0)
prevLowIndex = ta.valuewhen(not na(pLow), bar_index , 0)
prevHighIndex = ta.valuewhen(not na(pHigh), bar_index , 0)
lp = ta.lowest(low, lbLeft)
hp = ta.highest(high, lbLeft)
highestClose = ta.highest(close, lbLeft)
lowestClose = ta.lowest(close, lbLeft)
bullishSFP = low < pLowVal and close > pLowVal and open > pLowVal and low == lp and lowestClose >= pLowVal
bearishSFP = high > pHighVal and close < pHighVal and open < pHighVal and high == hp and highestClose <= pHighVal
bullCond = bullishSFP and (close > pLowVal) and (close > pLowVal ) and (close > pLowVal ) and bar_index >= bullSignalIndex + cooldownPeriod
bearCond = bearishSFP and (close < pHighVal) and (close < pHighVal ) and (close < pHighVal ) and bar_index >= bearSignalIndex + cooldownPeriod
//Check Swing H/L Stopper
var int swingLowCounter = 0
var int swingHighCounter = 0
var bool isSwingLowCheck = false
var bool isSwingHighCheck = false
var bool stopPrintingLow = false
var bool stopPrintingHigh = false
if high < swingLowVal and isSwingLowCheck
swingLowCounter := swingLowCounter+1
if low > swingHighVal and isSwingHighCheck
swingHighCounter := swingHighCounter+1
if ta.crossunder(close, swingLowVal) and isSwingLowCheck == false
isSwingLowCheck := true
swingLowCounter := 1
if ta.crossover(close, swingHighVal) and isSwingHighCheck == false
isSwingHighCheck := true
swingHighCounter := 1
if swingLowCounter == 5 and isSwingLowCheck
stopPrintingLow := true
isSwingLowCheck := false
line.set_x2(lowLine,bar_index )
if swingHighCounter == 5 and isSwingHighCheck
stopPrintingHigh := true
isSwingHighCheck := false
line.set_x2(highLine,bar_index )
//Draw sweep lines
if bullCond
bullSignalIndex := bar_index
bullLine := line.new(prevLowIndex, pLowVal, bar_index-3, pLowVal, color=bullColor, width=bullWidth, style=lineStyle(bullStyle))
if bearCond
bearSignalIndex := bar_index
bearLine := line.new(prevHighIndex, pHighVal, bar_index-3, pHighVal, color=bearColor, width=bearWidth, style=lineStyle(bearStyle))
var swingHighArr = array.new_label(0)
var swingHighTextArr = array.new_label(0)
var swingLowArr = array.new_label(0)
var swingLowTextArr = array.new_label(0)
if array.size(swingHighArr) >= 3
label.delete(array.shift(swingHighArr))
label.delete(array.shift(swingHighTextArr))
if array.size(swingLowArr) >= 3
label.delete(array.shift(swingLowArr))
label.delete(array.shift(swingLowTextArr))
//Draw range lines
if showSwing
if stopPrintingHigh == false
line.set_x2(highLine,bar_index+5)
if stopPrintingLow == false
line.set_x2(lowLine,bar_index+5)
if showSwing and not na(pHigh) and bearishSFP == false
stopPrintingHigh := false
swingHighVal := high
line.delete(highLine)
highLine := line.new(bar_index , high , bar_index+10, high , color = swingClr, width = 2)
swingHighLbl := label.new(bar_index , high , text="", yloc=yloc.abovebar, color = swingClr, textcolor = swingClr, style = label.style_triangledown, size = size.auto)
swingHighLblTxt := label.new(bar_index , high , text="Swing H", yloc=yloc.abovebar, color = swingClr, textcolor = swingClr, style = label.style_none, size = size.small)
array.push(swingHighArr, swingHighLbl)
array.push(swingHighTextArr, swingHighLblTxt)
if showSwing and not na(pLow) and bullishSFP == false
stopPrintingLow := false
swingLowVal := low
line.delete(lowLine)
lowLine := line.new(bar_index , low , bar_index+10, low , color = swingClr, width = 2)
swingLowLbl := label.new(bar_index , low , text="", yloc=yloc.belowbar, color = swingClr, textcolor = swingClr, style = label.style_triangleup, size = size.auto)
swingLowLblTxt := label.new(bar_index , low , text="Swing L", yloc=yloc.belowbar, color = swingClr, textcolor = swingClr, style = label.style_none, size = size.small)
array.push(swingLowArr, swingLowLbl)
array.push(swingLowTextArr, swingLowLblTxt)
//PLOTS
plotshape(bullCond, text='Sweep', color=bullColor, textcolor=bullColor, location=location.belowbar, offset = -3)
plotshape(bearCond, text='Sweep', color=bearColor, textcolor=bearColor, location=location.abovebar, offset = -3)
//ALERTS
alertcondition(bullishSFP, title='Bullish Sweep', message='{{ticker}} Bullish Sweep, Price:{{close}}')
alertcondition(bearishSFP, title='Bearish Sweep', message='{{ticker}} Bearish Sweep, Price:{{close}}')
//------------------------------------------------------------------------------
length1 = input(100)
extend = input(true,'Extend To Last Bar')
show_ext = input(true,'Show Extremities')
show_labels = input(true,'Show Labels')
//Style
upcol = input(#ff1100,'Upper Extremity Color',group='Style')
midcol = input(#ff5d00,'Zig Zag Color',group='Style')
dncol = input(#2157f3,'Lower Extremity Color',group='Style')
//------------------------------------------------------------------------------
//Settings
//-----------------------------------------------------------------------------{
liqGrp = 'Liquidity Detection'
liqLen = input.int (7, title = 'Detection Length', minval = 3, maxval = 13, inline = 'LIQ', group = liqGrp)
liqMar = 10 / input.float (6.9, 'Margin', minval = 4, maxval = 9, step = 0.1, inline = 'LIQ', group = liqGrp)
liqBuy = input.bool (true, 'Buyside Liquidity Zones, Margin', inline = 'Buyside', group = liqGrp)
marBuy = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Buyside', group = liqGrp)
cLIQ_B = input.color (color.new(#4caf50, 0), '', inline = 'Buyside', group = liqGrp)
liqSel = input.bool (true, 'Sellside Liquidity Zones, Margin', inline = 'Sellside', group = liqGrp)
marSel = input.float(2.3, '', minval = 1.5, maxval = 10, step = .1, inline = 'Sellside', group = liqGrp)
cLIQ_S = input.color (color.new(#f23645, 0), '', inline = 'Sellside', group = liqGrp)
lqVoid = input.bool (false, 'Liquidity Voids, Bullish', inline = 'void', group = liqGrp)
cLQV_B = input.color (color.new(#4caf50, 0), '', inline = 'void', group = liqGrp)
cLQV_S = input.color (color.new(#f23645, 0), 'Bearish', inline = 'void', group = liqGrp)
lqText = input.bool (false, 'Label', inline = 'void', group = liqGrp)
mode = input.string('Present', title = 'Mode', options = , inline = 'MOD', group = liqGrp)
visLiq = input.int (3, ' # Visible Levels', minval = 1, maxval = 50, inline = 'MOD', group = liqGrp)
//-----------------------------------------------------------------------------}
//General Calculations
//-----------------------------------------------------------------------------{
maxSize = 50
atr = ta.atr(10)
atr200 = ta.atr(200)
per = mode == 'Present' ? last_bar_index - bar_index <= 500 : true
//-----------------------------------------------------------------------------}
//User Defined Types
//-----------------------------------------------------------------------------{
// @type used to store pivot high/low data
//
// @field d (array) The array where the trend direction is to be maintained
// @field x (array) The array where the bar index value of pivot high/low is to be maintained
// @field y (array) The array where the price value of pivot high/low is to be maintained
type ZZ
int d
int x
float y
// @type bar properties with their values
//
// @field o (float) open price of the bar
// @field h (float) high price of the bar
// @field l (float) low price of the bar
// @field c (float) close price of the bar
// @field i (int) index of the bar
type bar
float o = open
float h = high
float l = low
float c = close
int i = bar_index
// @type liquidity object definition
//
// @field bx (box) box maitaing the liquity level margin extreme levels
// @field bxz (box) box maitaing the liquity zone margin extreme levels
// @field bxt (box) box maitaing the labels
// @field brZ (bool) mainains broken zone status
// @field brL (bool) mainains broken level status
// @field ln (line) maitaing the liquity level line
// @field lne (line) maitaing the liquity extended level line
type liq
box bx
box bxz
box bxt
bool brZ
bool brL
line ln
line lne
//-----------------------------------------------------------------------------}
//Variables
//-----------------------------------------------------------------------------{
var ZZ aZZ = ZZ.new(
array.new (maxSize, 0),
array.new (maxSize, 0),
array.new (maxSize, na)
)
bar b = bar.new()
var liq b_liq_B = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na)))
var liq b_liq_S = array.new (1, liq.new(box(na), box(na), box(na), false, false, line(na), line(na)))
var b_liq_V = array.new_box()
var int dir = na, var int x1 = na, var float y1 = na, var int x2 = na, var float y2 = na
//-----------------------------------------------------------------------------}
//Functions/methods
//-----------------------------------------------------------------------------{
// @function maintains arrays
// it prepends a `value` to the arrays and removes their oldest element at last position
// @param aZZ (UDT, array, array>) The UDT obejct of arrays
// @param _d (array) The array where the trend direction is maintained
// @param _x (array) The array where the bar index value of pivot high/low is maintained
// @param _y (array) The array where the price value of pivot high/low is maintained
//
// @returns none
method in_out(ZZ aZZ, int _d, int _x, float _y) =>
aZZ.d.unshift(_d), aZZ.x.unshift(_x), aZZ.y.unshift(_y), aZZ.d.pop(), aZZ.x.pop(), aZZ.y.pop()
// @function (build-in) sets the maximum number of bars that is available for historical reference
max_bars_back(time, 1000)
//-----------------------------------------------------------------------------}
//Calculations
//-----------------------------------------------------------------------------{
x2 := b.i - 1
ph = ta.pivothigh(liqLen, 1)
pl = ta.pivotlow (liqLen, 1)
if ph
dir := aZZ.d.get(0)
x1 := aZZ.x.get(0)
y1 := aZZ.y.get(0)
y2 := nz(b.h )
if dir < 1
aZZ.in_out(1, x2, y2)
else
if dir == 1 and ph > y1
aZZ.x.set(0, x2), aZZ.y.set(0, y2)
if per
count = 0
st_P = 0.
st_B = 0
minP = 0.
maxP = 10e6
for i = 0 to maxSize - 1
if aZZ.d.get(i) == 1
if aZZ.y.get(i) > ph + (atr / liqMar)
break
else
if aZZ.y.get(i) > ph - (atr / liqMar) and aZZ.y.get(i) < ph + (atr / liqMar)
count += 1
st_B := aZZ.x.get(i)
st_P := aZZ.y.get(i)
if aZZ.y.get(i) > minP
minP := aZZ.y.get(i)
if aZZ.y.get(i) < maxP
maxP := aZZ.y.get(i)
if count > 2
getB = b_liq_B.get(0)
if st_B == getB.bx.get_left()
getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar))
getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar))
else
b_liq_B.unshift(
liq.new(
box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)),
box.new(na, na, na, na, bgcolor = color(na), border_color = color(na)),
box.new(st_B, st_P, b.i + 10, st_P, text = 'Buyside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_bottom, text_color = color.new(cLIQ_B, 25), bgcolor = color(na), border_color = color(na)),
false,
false,
line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_B, 0)),
line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_B, 0), style = line.style_dotted))
)
alert('buyside liquidity level detected/updated for ' + syminfo.ticker)
if b_liq_B.size() > visLiq
getLast = b_liq_B.pop()
getLast.bx.delete()
getLast.bxz.delete()
getLast.bxt.delete()
getLast.ln.delete()
getLast.lne.delete()
if pl
dir := aZZ.d.get (0)
x1 := aZZ.x.get (0)
y1 := aZZ.y.get (0)
y2 := nz(b.l )
if dir > -1
aZZ.in_out(-1, x2, y2)
else
if dir == -1 and pl < y1
aZZ.x.set(0, x2), aZZ.y.set(0, y2)
if per
count = 0
st_P = 0.
st_B = 0
minP = 0.
maxP = 10e6
for i = 0 to maxSize - 1
if aZZ.d.get(i) == -1
if aZZ.y.get(i) < pl - (atr / liqMar)
break
else
if aZZ.y.get(i) > pl - (atr / liqMar) and aZZ.y.get(i) < pl + (atr / liqMar)
count += 1
st_B := aZZ.x.get(i)
st_P := aZZ.y.get(i)
if aZZ.y.get(i) > minP
minP := aZZ.y.get(i)
if aZZ.y.get(i) < maxP
maxP := aZZ.y.get(i)
if count > 2
getB = b_liq_S.get(0)
if st_B == getB.bx.get_left()
getB.bx.set_top(math.avg(minP, maxP) + (atr / liqMar))
getB.bx.set_rightbottom(b.i + 10, math.avg(minP, maxP) - (atr / liqMar))
else
b_liq_S.unshift(
liq.new(
box.new(st_B, math.avg(minP, maxP) + (atr / liqMar), b.i + 10, math.avg(minP, maxP) - (atr / liqMar), bgcolor=color(na), border_color=color(na)),
box.new(na, na, na, na, bgcolor=color(na), border_color=color(na)),
box.new(st_B, st_P, b.i + 10, st_P, text = 'Sellside liquidity', text_size = size.tiny, text_halign = text.align_left, text_valign = text.align_top, text_color = color.new(cLIQ_S, 25), bgcolor=color(na), border_color=color(na)),
false,
false,
line.new(st_B , st_P, b.i - 1, st_P, color = color.new(cLIQ_S, 0)),
line.new(b.i - 1, st_P, na , st_P, color = color.new(cLIQ_S, 0), style = line.style_dotted))
)
alert('sellside liquidity level detected/updated for ' + syminfo.ticker)
if b_liq_S.size() > visLiq
getLast = b_liq_S.pop()
getLast.bx.delete()
getLast.bxz.delete()
getLast.bxt.delete()
getLast.ln.delete()
getLast.lne.delete()
for i = 0 to b_liq_B.size() - 1
x = b_liq_B.get(i)
if not x.brL
x.lne.set_x2(b.i)
if b.h > x.bx.get_top()
x.brL := true
x.brZ := true
alert('buyside liquidity level breached for ' + syminfo.ticker)
x.bxz.set_lefttop(b.i - 1, math.min(x.ln.get_y1() + marBuy * (atr), b.h))
x.bxz.set_rightbottom(b.i + 1, x.ln.get_y1())
x.bxz.set_bgcolor(color.new(cLIQ_B, liqBuy ? 73 : 100))
else if x.brZ
if b.l > x.ln.get_y1() - marBuy * (atr) and b.h < x.ln.get_y1() + marBuy * (atr)
x.bxz.set_right(b.i + 1)
x.bxz.set_top(math.max(b.h, x.bxz.get_top()))
if liqBuy
x.lne.set_x2(b.i + 1)
else
x.brZ := false
for i = 0 to b_liq_S.size() - 1
x = b_liq_S.get(i)
if not x.brL
x.lne.set_x2(b.i)
if b.l < x.bx.get_bottom()
x.brL := true
x.brZ := true
alert('sellside liquidity level breached for ' + syminfo.ticker)
x.bxz.set_lefttop(b.i - 1, x.ln.get_y1())
x.bxz.set_rightbottom(b.i + 1, math.max(x.ln.get_y1() - marSel * (atr), b.l))
x.bxz.set_bgcolor(color.new(cLIQ_S, liqSel ? 73 : 100))
else if x.brZ
if b.l > x.ln.get_y1() - marSel * (atr) and b.h < x.ln.get_y1() + marSel * (atr)
x.bxz.set_rightbottom(b.i + 1, math.min(b.l, x.bxz.get_bottom()))
if liqSel
x.lne.set_x2(b.i + 1)
else
x.brZ := false
if lqVoid and per
bull = b.l - b.h > atr200 and b.l > b.h and b.c > b.h
bear = b.l - b.h > atr200 and b.h < b.l and b.c < b.l
if bull
l = 13
if bull
st = math.abs(b.l - b.l ) / l
for i = 0 to l - 1
array.push(b_liq_V, box.new(b.i - 2, b.l + i * st, b.i, b.l + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
else
st = math.abs(b.l - b.h ) / l
for i = 0 to l - 1
if lqText and i == 0
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_bottom, text_color = na, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
else
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_B, 90) ))
if bear
l = 13
if bear
st = math.abs(b.h - b.h) / l
for i = 0 to l - 1
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
else
st = math.abs(b.l - b.h) / l
for i = 0 to l - 1
if lqText and i == l - 1
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, text = 'Liquidity Void ', text_size = size.tiny, text_halign = text.align_right, text_valign = text.align_top, text_color = na, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
else
array.push(b_liq_V, box.new(b.i - 2, b.h + i * st, b.i, b.h + (i + 1) * st, border_color = na, bgcolor = color.new(cLQV_S, 90) ))
if b_liq_V.size() > 0
qt = b_liq_V.size()
for bn = qt - 1 to 0
if bn < b_liq_V.size()
cb = b_liq_V.get(bn)
ba = math.avg(cb.get_bottom(), cb.get_top())
if math.sign(b.c - ba) != math.sign(b.c - ba) or math.sign(b.c - ba) != math.sign(b.l - ba) or math.sign(b.c - ba) != math.sign(b.h - ba)
b_liq_V.remove(bn)
else
cb.set_right(b.i + 1)
if b.i - cb.get_left() > 21
cb.set_text_color(color.new(color.gray, 25))
//-----------------------------------------------------------------------------}
C_Len = 14 // ta.ema depth for bodyAvg
C_ShadowPercent = 5.0 // size of shadows
C_ShadowEqualsPercent = 100.0
C_DojiBodyPercent = 5.0
C_Factor = 2.0 // shows the number of times the shadow dominates the candlestick body
C_BodyHi = math.max(close, open)
C_BodyLo = math.min(close, open)
C_Body = C_BodyHi - C_BodyLo
C_BodyAvg = ta.ema(C_Body, C_Len)
C_SmallBody = C_Body < C_BodyAvg
C_LongBody = C_Body > C_BodyAvg
C_UpShadow = high - C_BodyHi
C_DnShadow = C_BodyLo - low
C_HasUpShadow = C_UpShadow > C_ShadowPercent / 100 * C_Body
C_HasDnShadow = C_DnShadow > C_ShadowPercent / 100 * C_Body
C_WhiteBody = open < close
C_BlackBody = open > close
C_Range = high-low
C_IsInsideBar = C_BodyHi > C_BodyHi and C_BodyLo < C_BodyLo
C_BodyMiddle = C_Body / 2 + C_BodyLo
C_ShadowEquals = C_UpShadow == C_DnShadow or (math.abs(C_UpShadow - C_DnShadow) / C_DnShadow * 100) < C_ShadowEqualsPercent and (math.abs(C_DnShadow - C_UpShadow) / C_UpShadow * 100) < C_ShadowEqualsPercent
C_IsDojiBody = C_Range > 0 and C_Body <= C_Range * C_DojiBodyPercent / 100
C_Doji = C_IsDojiBody and C_ShadowEquals
patternLabelPosLow = low - (ta.atr(30) * 0.6)
patternLabelPosHigh = high + (ta.atr(30) * 0.6)
label_color_bearish = input(color.rgb(255, 82, 82, 90), "Label Color Bearish")
label_color_bullish = input(color.rgb(33, 149, 243, 90), "Label Color Bullish")
C_MarubozuBlackBearishNumberOfCandles = 1
C_MarubozuWhiteBullishNumberOfCandles = 1
C_MarubozuShadowPercentBearish = 5.0
C_MarubozuShadowPercentWhite = 5.0
C_MarubozuBlackBearish = C_BlackBody and C_LongBody and C_UpShadow <= C_MarubozuShadowPercentBearish/100*C_Body and C_DnShadow <= C_MarubozuShadowPercentBearish/100*C_Body and C_BlackBody
C_MarubozuWhiteBullish = C_WhiteBody and C_LongBody and C_UpShadow <= C_MarubozuShadowPercentWhite/100*C_Body and C_DnShadow <= C_MarubozuShadowPercentWhite/100*C_Body and C_WhiteBody
combined_alert_condition = C_MarubozuBlackBearish or C_MarubozuWhiteBullish
alertcondition(combined_alert_condition, title = "Marubozu Pattern Detected", message = "A Marubozu pattern has been detected!")
if C_MarubozuBlackBearish
var ttBearishMarubozuBlack = "Marubozu Black This is a candlestick that has no shadow, which extends from the red-bodied candle at the open, the close, or even at both. In Japanese, the name means “close-cropped” or “close-cut.” The candlestick can also be referred to as Bald or Shaven Head."
label.new(bar_index, patternLabelPosHigh, text="MB", style=label.style_label_down, color = label_color_bearish, textcolor=color.white, tooltip = ttBearishMarubozuBlack)
if C_MarubozuWhiteBullish
var ttBullishMarubozuWhite = "Marubozu White A Marubozu White Candle is a candlestick that does not have a shadow that extends from its candle body at either the open or the close. Marubozu is Japanese for “close-cropped” or “close-cut.” Other sources may call it a Bald or Shaven Head Candle."
label.new(bar_index, patternLabelPosLow, text="MW", style=label.style_label_up, color = label_color_bullish, textcolor=color.white, tooltip = ttBullishMarubozuWhite)
//--------------//
C_DownTrend = true
C_UpTrend = true
var trendRule1 = "SMA50"
var trendRule2 = "SMA50, SMA200"
var trendRule = input.string(trendRule1, "Detect Trend Based On", options= )
if trendRule == trendRule1
priceAvg = ta.sma(close, 50)
C_DownTrend := close < priceAvg
C_UpTrend := close > priceAvg
if trendRule == trendRule2
sma200 = ta.sma(close, 200)
sma50 = ta.sma(close, 50)
C_DownTrend := close < sma50 and sma50 < sma200
C_UpTrend := close > sma50 and sma50 > sma200
C_EngulfingBullishNumberOfCandles = 2
C_EngulfingBullish = C_DownTrend and C_WhiteBody and C_LongBody and C_BlackBody and C_SmallBody and close >= open and open <= close and ( close > open or open < close )
alertcondition(C_EngulfingBullish, title = "New pattern detected", message = "New Engulfing – Bullish pattern detected")
if C_EngulfingBullish
var ttBullishEngulfing = "Engulfing At the end of a given downward trend, there will most likely be a reversal pattern. To distinguish the first day, this candlestick pattern uses a small body, followed by a day where the candle body fully overtakes the body from the day before, and closes in the trend’s opposite direction. Although similar to the outside reversal chart pattern, it is not essential for this pattern to completely overtake the range (high to low), rather only the open and the close."
label.new(bar_index, patternLabelPosLow, text="BE", style=label.style_label_up, color = label_color_bullish, textcolor=color.white, tooltip = ttBullishEngulfing)
C_EngulfingBearishNumberOfCandles = 2
C_EngulfingBearish = C_UpTrend and C_BlackBody and C_LongBody and C_WhiteBody and C_SmallBody and close <= open and open >= close and ( close < open or open > close )
alertcondition(C_EngulfingBearish, title = "New pattern detected", message = "New Engulfing – Bearish pattern detected")
if C_EngulfingBearish
var ttBearishEngulfing = "Engulfing At the end of a given uptrend, a reversal pattern will most likely appear. During the first day, this candlestick pattern uses a small body. It is then followed by a day where the candle body fully overtakes the body from the day before it and closes in the trend’s opposite direction. Although similar to the outside reversal chart pattern, it is not essential for this pattern to fully overtake the range (high to low), rather only the open and the close."
label.new(bar_index, patternLabelPosHigh, text="BE", style=label.style_label_down, color = label_color_bearish, textcolor=color.white, tooltip = ttBearishEngulfing)
//--------------//
// EMA 20 50 200
//-----------------------------------------------------------------------------{
shortest = ta.ema(close, 20)
short = ta.ema(close, 50)
long = ta.ema(close, 200)
color c0 = color.new(color.orange, 50)
color c1 = color.new(color.red, 80)
color c2 = color.new(color.blue, 80)
color c3 = color.new(#2195f3, 30)
plot(shortest, color = c0)
plot(short, color = c1)
plot(long, color = c2)
plot(ta.cross(short, long) ? short : na, style = plot.style_cross, linewidth = 4,color = c3)
//------------------------------------------------------------------------------
// Nadaraya-Watson Envelope
//-----------------------------------------------------------------------------{
length2 = input.float(500,'Window Size',maxval=500,minval=0)
h1 = input.float(10.,'Bandwidth')
mult = input.float(3.)
srcUpperBand = input.source(low,'Source Upper Band')
src1 = input.source(high,'Source Lower Band')
up_col = input.color(#ff1100,'Colors',inline='col')
dn_col = input.color(#39ff14,'',inline='col')
show_bands = input(false, 'Show Bands')
show_sma_7_low_1 = input(false, 'Show SMA 7 LOW +1')
show_sma_7_low_7 = input(false, 'Show SMA 7 LOW -7')
show_sma_30_high = input(false, 'Show SMA 30 HIGH')
//----
var k = 2
var upper1 = array.new_line(0)
var lower1 = array.new_line(0)
sma7_low = ta.sma(low, 7)
sma30_high = ta.sma(high, 30)
strDownArrows = "↓▼↓"
strUpArrows = "↑▲↑"
RoundUp(number, decimals) =>
factor = math.pow(10, decimals)
math.ceil(number * factor) / factor
plot(show_sma_7_low_1?sma7_low:na, color=color.rgb(255, 235, 59, 81), title="SMA 7 LOW +1", offset=+1, linewidth=1)
plot(show_sma_7_low_7?sma7_low:na, color=color.rgb(255, 235, 59, 81), title="7 sma", offset=-7, linewidth=1)
plot(show_sma_30_high ? sma30_high:na, color=color.purple, title="SMA 30 High", linewidth=1)
lset(l,x1,y1,x2,y2,col)=>
line.set_xy1(l,x1,y1)
line.set_xy2(l,x2,y2)
line.set_color(l,col)
line.set_width(l,2)
if barstate.isfirst
for i = 0 to length2/k-1
array.push(upper1,line.new(na,na,na,na))
array.push(lower1,line.new(na,na,na,na))
//----
line up = na
line dn = na
//----
cross_up = 0.
cross_dn = 0.
if barstate.islast
y = array.new_float(0)
yUpper = array.new_float(0)
sum_upper_e = 0.
sum_e = 0.
for i = 0 to length2-1
sum_upper = 0.
sumw_upper = 0.
sum = 0.
sumw = 0.
for j = 0 to length2-1
w = math.exp(-(math.pow(i-j,2)/(h1*h1*2)))
sum_upper += srcUpperBand *w
sum += src1 *w
sumw += w
y_upper_2 = sum_upper/sumw
sum_upper_e += math.abs(srcUpperBand - y_upper_2)
array.push(yUpper,y_upper_2)
y2 = sum/sumw
sum_e += math.abs(src1 - y2)
array.push(y,y2)
mae_upper = sum_upper_e/length2*mult
mae = sum_e/length2*mult
for i = 1 to length2-1
upper_y2 = array.get(yUpper,i)
upper_y1 = array.get(yUpper,i-1)
y2 = array.get(y,i)
y1 = array.get(y,i-1)
up := array.get(upper1,i/k)
dn := array.get(lower1,i/k)
//draw borders bands
if show_bands
lset(up,n-i+1,upper_y1 + mae_upper,n-i,upper_y2 + mae_upper,up_col)
lset(dn,n-i+1,y1 - mae,n-i,y2 - mae,dn_col)
//draw fractals
//if src > y1 + mae and src < y1 + mae
// label.new(n-i,src ,strDownArrows,color=#00000000,style=label.style_label_down,textcolor=dn_col,textalign=text.align_center)
//if src < y1 - mae and src > y1 - mae
// label.new(n-i,src ,strUpArrows,color=#00000000,style=label.style_label_up,textcolor=up_col,textalign=text.align_center)
//draw sma 30 high signals
if sma30_high > upper_y1 + mae_upper and sma30_high < upper_y2 + mae_upper
label.new(n-i,srcUpperBand +mae_upper,strDownArrows,color=#00000000,style=label.style_label_down,textcolor=#ec0505,textalign=text.align_center)
//if sma30_high < y1 - mae and sma30_high > y2 - mae
// label.new(n-i,src ,strUpArrows,color=#00000000,style=label.style_label_down,textcolor=#ec05af,textalign=text.align_center)
//draw sma 7 low signals
if sma7_low > upper_y1 + mae_upper and sma7_low < upper_y2 + mae_upper
label.new(n-i,src1 ,strDownArrows,color=#00000000,style=label.style_label_down,textcolor=color.orange,textalign=text.align_center)
if sma7_low < y1 - mae and sma7_low > y2 - mae
label.new(n-i,src1 -mae,strUpArrows,color=#00000000,style=label.style_label_up,textcolor=color.rgb(16, 177, 4),textalign=text.align_center)
cross_up := array.get(yUpper,0) + mae_upper
cross_dn := array.get(y,0) - mae
sma7_crossover = ta.crossover(sma7_low,cross_up)
sma7_crossunder = ta.crossunder(sma7_low,cross_dn)
sma30_crossover = ta.crossover(sma30_high,cross_up)
sma30_crossunder = ta.crossunder(sma30_high,cross_dn)
alertcondition(sma30_crossunder or sma7_crossunder,title="LONG", message='LONG: {{ticker}}/{{interval}} at price {{close}} on {{exchange}}' )
alertcondition(sma7_crossover or sma30_crossover,title="SHORT", message='SHORT: {{ticker}}/{{interval}} at price {{close}} on {{exchange}}' )
//------------------------------------------------------------------------------
//SMT Divergences
//-----------------------------------------------------------------------------{
length3 = input.int(3, 'Pivot Lookback', minval = 2)
//Symbol A
useSym1 = input(true, 'Comparison Symbol', inline = 'symA')
sym1 = input.symbol('CME_MINI_DL:ES1!', '', inline = 'symA')
//Symbol B
useSym2 = input(true, 'Comparison Symbol', inline = 'symB')
sym2 = input.symbol('CBOT_MINI_DL:YM1!', '', inline = 'symB')
//Style
bullDivCss = input.color(#ff110082, 'Swing High', group = 'Style')
bearDivCss = input.color(#2156f380, 'Swing Low', group = 'Style')
//-----------------------------------------------------------------------------}
//Function
//-----------------------------------------------------------------------------{
get_hl() =>
//Swing highs divergences
get_divergence(ph1, y2, sym_y2, css)=>
var float y1 = na
var float sym_y1 = na
var int x1 = na
var smt = 0
if y2 != y2 and sym_y2 != sym_y2
//Test for SMT
if (y2 - y1) * (sym_y2 - sym_y1) < 0
line.new(n , y2, x1, y1, color = css)
smt += 1
sym_y1 := sym_y2
y1 := y2
x1 := n
else if (ph1 and y2 > y2 ) or (not ph1 and y2 < y2 )
sym_y1 := na
y1 := y2
x1 := n
smt
//-----------------------------------------------------------------------------}
//Main variables
//-----------------------------------------------------------------------------{
var phN = 0, var plN = 0
var ph_smt1 = 0.
var pl_smt1 = 0.
var ph_smt2 = 0.
var pl_smt2 = 0.
ticker1 = syminfo.ticker(sym1)
ticker2 = syminfo.ticker(sym2)
//-----------------------------------------------------------------------------}
//Detect swing highs/lows and divergences
//-----------------------------------------------------------------------------{
ph1 = fixnan(ta.pivothigh(length3, length3))
pl1 = fixnan(ta.pivotlow(length3, length3))
phN += ph1 != ph1 ? 1 : 0
plN += pl1 != pl1 ? 1 : 0
//Comparison symbol pivots
= request.security(sym1, timeframe.period, get_hl())
= request.security(sym2, timeframe.period, get_hl())
//Detect swing high divergences
if useSym1
sym_ph1 = fixnan(ta.pivothigh(h11, length3, length3))
sym_pl1 = fixnan(ta.pivotlow(l1, length3, length3))
ph_smt1 := get_divergence(true, ph1, sym_ph1, bullDivCss)
pl_smt1 := get_divergence(false, pl1, sym_pl1, bearDivCss)
if useSym2
sym_ph2 = fixnan(ta.pivothigh(h21, length3, length3))
sym_pl2 = fixnan(ta.pivotlow(l2, length3, length3))
ph_smt2 := get_divergence(true, ph1, sym_ph2, bullDivCss)
pl_smt2 := get_divergence(false, pl1, sym_pl2, bearDivCss)
txt = ''
if ph1 != ph1
if ph_smt1 > ph_smt1
txt += ticker1
if ph_smt2 > ph_smt2
txt += txt != '' ? ' | ' : ''
txt += ticker2
if txt != ''
label.new(n , ph1, txt
, color = bullDivCss
, style = label.style_label_down
, textcolor = color.white
, size = size.tiny)
else
if pl_smt1 > pl_smt1
txt += ticker1
if pl_smt2 > pl_smt2
txt += txt != '' ? ' | ' : ''
txt += ticker2
if txt != ''
label.new(n , pl1, txt
, color = bearDivCss
, style = label.style_label_up
, textcolor = color.white
, size = size.tiny)
//-----------------------------------------------------------------------------}
//Tables
//-----------------------------------------------------------------------------{
if barstate.isfirst and showDash
tb.cell(1, 0, 'Swing High', text_color = color.white)
tb.cell(2, 0, 'Swing Low', text_color = color.white)
tb.cell(0, 1, ticker1, text_color = color.white)
tb.cell(0, 2, ticker2, text_color = color.white)
if barstate.islast and showDash
//Symbol 1
tb.cell(1, 1, str.format('{0} ({1, number, percent})', ph_smt1, ph_smt1 / phN)
, text_color = bullDivCss)
tb.cell(2, 1, str.format('{0} ({1, number, percent})', pl_smt1, pl_smt1 / plN)
, text_color = bearDivCss)
//Symbol 2
tb.cell(1, 2, str.format('{0} ({1, number, percent})', ph_smt2, ph_smt2 / phN)
, text_color = bullDivCss)
tb.cell(2, 2, str.format('{0} ({1, number, percent})', pl_smt2, pl_smt2 / plN)
, text_color = bearDivCss)
//-----------------------------------------------------------------------------
// Imbalance Finder With Pip Target Box
//-----------------------------------------------------------------------------{
showema = input(defval=false, title='Show all EMAs', group='Plot EMA ')
Overridetargetsize = input(defval=false, title='Change Standard Target Size', group='Targets')
Targetssize = input.float(title='Pips for Target', defval=0.0001, minval=0.0001, group = 'Targets')
color black100 = color.new(color.black,100)
color green75 = color.new(color.green,75)
color green0 = color.new(#4caf4f, 10)
color aqua0 = color.new(color.aqua, 0)
color black0 = color.new(color.black, 0)
color blue0 = color.new(#0F52BA, 0)
color gray0 = color.new(#787b86, 100)
color orange0 = color.new(#ff8c00, 10)
color red0 = color.new(#ff5252, 10)
color red75 = color.new(color.red,75)
color white0 = color.new(color.white, 0)
color yellow0 = color.new(#fff700, 100)
bool showgreydiamond = input(defval=false, title='Show Diamond For Back Testing' ,group='=== Information ===')
LabelDigitDisplay =
syminfo.ticker == 'AUDCAD' == true ? '#.#####' : syminfo.ticker == 'AUDCHF' == true ? '#.#####' : syminfo.ticker == 'AUDJPY' == true ? '#.###' : syminfo.ticker == 'AUDNZD' == true ? '#.#####' :
syminfo.ticker == 'AUDUSD' == true ? '#.#####' : syminfo.ticker == 'CADCHF' == true ? '#.#####' : syminfo.ticker == 'CADJPY' == true ? '#.###' : syminfo.ticker == 'CHFJPY' == true ? '#.###' :
syminfo.ticker == 'EURAUD' == true ? '#.#####' : syminfo.ticker == 'EURCAD' == true ? '#.#####' : syminfo.ticker == 'EURCHF' == true ? '#.#####' : syminfo.ticker == 'EURGBP' == true ? '#.#####' :
syminfo.ticker == 'EURJPY' == true ? '#.###' : syminfo.ticker == 'EURNZD' == true ? '#.#####' : syminfo.ticker == 'EURUSD' == true ? '#.#####' : syminfo.ticker == 'GBPAUD' == true ? '#.#####' :
syminfo.ticker == 'GBPCAD' == true ? '#.#####' : syminfo.ticker == 'GBPCHF' == true ? '#.#####' : syminfo.ticker == 'GBPJPY' == true ? '#.###' : syminfo.ticker == 'GBPNZD' == true ? '#.#####' :
syminfo.ticker == 'GBPUSD' == true ? '#.#####' : syminfo.ticker == 'NZDCAD' == true ? '#.#####' : syminfo.ticker == 'NZDCHF' == true ? '#.#####' : syminfo.ticker == 'NZDJPY' == true ? '#.###':
syminfo.ticker == 'NZDUSD' == true ? '#.#####' : syminfo.ticker == 'USDCAD' == true ? '#.#####' : syminfo.ticker == 'USDCHF' == true ? '#.#####' : syminfo.ticker == 'USDJPY' == true ? '#.###':
syminfo.ticker == 'GOLD' == true ? '#.##' : syminfo.ticker == 'US100' == true ? '#.##' : syminfo.ticker == 'US30' == true ? '#.##' : syminfo.ticker == 'US500' == true ? '#.##' : syminfo.ticker == 'DE40' == true ? '#.##' : '#.#####'
PipsMultiplier =
syminfo.ticker == 'AUDCAD' == true ? 0.00050 : syminfo.ticker == 'AUDCHF' == true ? 0.00050 : syminfo.ticker == 'AUDJPY' == true ? 00.050 : syminfo.ticker == 'AUDNZD' == true ? 0.00050 :
syminfo.ticker == 'AUDUSD' == true ? 0.00050 : syminfo.ticker == 'CADCHF' == true ? 0.00050 : syminfo.ticker == 'CADJPY' == true ? 00.050 : syminfo.ticker == 'CHFJPY' == true ? 00.050:
syminfo.ticker == 'EURAUD' == true ? 0.00050 : syminfo.ticker == 'EURCAD' == true ? 0.00050 : syminfo.ticker == 'EURCHF' == true ? 0.00050 : syminfo.ticker == 'EURGBP' == true ? 0.00050 :
syminfo.ticker == 'EURJPY' == true ? 00.050 : syminfo.ticker == 'EURNZD' == true ? 0.00050 : syminfo.ticker == 'EURUSD' == true ? 0.00050 : syminfo.ticker == 'GBPAUD' == true ? 0.00050 :
syminfo.ticker == 'GBPCAD' == true ? 0.00050 : syminfo.ticker == 'GBPCHF' == true ? 0.00050 : syminfo.ticker == 'GBPJPY' == true ? 00.050 : syminfo.ticker == 'GBPNZD' == true ? 0.00050 :
syminfo.ticker == 'GBPUSD' == true ? 0.00050 : syminfo.ticker == 'NZDCAD' == true ? 0.00050 : syminfo.ticker == 'NZDCHF' == true ? 0.00050 : syminfo.ticker == 'NZDJPY' == true ? 00.050:
syminfo.ticker == 'NZDUSD' == true ? 0.00050 : syminfo.ticker == 'USDCAD' == true ? 0.00050 : syminfo.ticker == 'USDCHF' == true ? 0.00050 : syminfo.ticker == 'USDJPY' == true ? 00.050:
syminfo.ticker == 'GOLD' == true ? 1.5 : syminfo.ticker == 'US100' == true ? 10 : syminfo.ticker == 'US30' == true ? 25 : syminfo.ticker == 'US500' == true ? 10 : syminfo.ticker == 'DE40' == true ? 10 : 1
Targettouse = Overridetargetsize ? Targetssize : PipsMultiplier
Imbcol = input.color(yellow0, 'Imbalance Colour', inline="1" ,group='=== Information ===')
Dimcol = input.color(gray0, 'Imbalance Colour', inline="1" ,group='=== Information ===')
TopImbalance = low <= open and high >= close
TopImbalancesize = low - high
if TopImbalance and TopImbalancesize > 0
BOX1 = box.new(left=bar_index , top=low , right=bar_index , bottom=high )
box.set_bgcolor(BOX1, Imbcol )
box.set_border_color(BOX1, Imbcol )
BottomInbalance = high >= open and low <= close
BottomInbalancesize = low - high
if BottomInbalance and BottomInbalancesize > 0
BOX2 = box.new(left=bar_index , top=low , right=bar_index , bottom=high )
box.set_bgcolor(BOX2, Imbcol )
box.set_border_color(BOX2, Imbcol )
DownImbalance = TopImbalance and TopImbalancesize > 0
plotshape(DownImbalance and showgreydiamond, style=shape.diamond, location=location.abovebar, color=Dimcol, size=size.tiny)
UpImbalance = BottomInbalance and BottomInbalancesize > 0
plotshape(UpImbalance and showgreydiamond, style=shape.diamond, location=location.belowbar, color=Dimcol, size=size.tiny)
DownSell = close >open and closeopen
boxcolourtop = UpBuy ? green0 : black100
boxcolourbottom = DownSell ? red0 : black100
boxcolourtopfill = UpBuy ? green75 : black100
boxcolourbottomfill = DownSell ? red75 : black100
BottomLabel = label.new(x=bar_index, y=high+(Targettouse/3), xloc=xloc.bar_index)
label.set_text(BottomLabel, text
= " Entry = " + str.tostring(close,LabelDigitDisplay)
+ " Stop Loss = " + str.tostring(high,LabelDigitDisplay)
+ " Take Profit = " + str.tostring(close-PipsMultiplier,LabelDigitDisplay)
+ " Target Size = " + str.tostring(PipsMultiplier,LabelDigitDisplay))
label.set_textalign(BottomLabel, text.align_left)
label.set_style(BottomLabel, label.style_label_left)
label.set_color(BottomLabel, black100)
label.set_textcolor(BottomLabel, boxcolourbottom)
label.delete(BottomLabel )
Bottom = box.new(left=bar_index , top=low, right=bar_index , bottom=low-Targettouse, xloc=xloc.bar_index)
box.set_right(Bottom,right=box.get_right(id=Bottom)+10)
box.set_bgcolor(Bottom , color=boxcolourbottomfill )
box.set_border_color(Bottom , color=boxcolourbottom)
box.delete(Bottom )
TopLabel = label.new(x=bar_index, y=low-(Targettouse/3), xloc=xloc.bar_index)
label.set_text(TopLabel, text
= " Entry = " + str.tostring(close,LabelDigitDisplay)
+ " Stop Loss = " + str.tostring(low,LabelDigitDisplay)
+ " Take Profit = " + str.tostring(close+Targettouse,LabelDigitDisplay)
+ " Target Size = " + str.tostring(PipsMultiplier,LabelDigitDisplay))
label.set_textalign(TopLabel, text.align_left)
label.set_style(TopLabel, label.style_label_left)
label.set_color(TopLabel, black100)
label.set_textcolor(TopLabel, boxcolourtop )
label.delete(TopLabel )
Top = box.new(left=bar_index , top=high+Targettouse, right=bar_index , bottom=high, xloc=xloc.bar_index)
box.set_right(Top,right=box.get_right(id=Top)+10)
box.set_bgcolor(Top , color=boxcolourtopfill )
box.set_border_color(Top, color=boxcolourtop )
box.delete(Top )
ema13colour = showema ? red0 : black100
ema35colour = showema ? orange0 : black100
ema50colour = showema ? aqua0 : black100
offset = input.int(title='Offset', defval=0, minval=-500, maxval=500)
emalen1513 =26 //input.int(13, minval=1, title='Length 13 EMA 15 Min', group='=== EMA Information ===')
emasrc1513 = close
EMA13 = request.security(syminfo.tickerid, '1', ta.ema(emasrc1513, emalen1513))
plot(EMA13, title='EMA 13 15 Min', color=ema13colour, linewidth=1, offset=offset)
emalen1535 = 63 //input.int(35, minval=1, title='Length 35 EMA 15 Min', group='=== EMA Information ===')
emasrc1535 = close
EMA35 = request.security(syminfo.tickerid, '1', ta.ema(emasrc1535, emalen1535))
plot(EMA35, title='EMA 35 15 Min', color=ema35colour, linewidth=1, offset=offset)
emalen1550 = 100 //input.int(50, minval=1, title='Length 50 EMA 15 Min', group='=== EMA Information ===')
emasrc1550 = close
EMA50 = request.security(syminfo.tickerid, '1', ta.ema(emasrc1550, emalen1550))
plot(EMA50, title='EMA 50 15 Min', color=ema50colour, linewidth=2, offset=offset)
Up = EMA13 > EMA35 and EMA35 > EMA50
Down = EMA13 < EMA35 and EMA35 < EMA50
plotshape(Up , title='Up', style=shape.square, location=location.bottom, color=green0, size=size.tiny)
plotshape(Down , title='Down', style=shape.square, location=location.bottom, color=red0, size=size.tiny)
plotshape(not Down and not Up , title='Warning', style=shape.square, location=location.bottom, color=orange0, size=size.tiny)
alertcondition(Up and not Up , title='Buy Switch On', message='Buy Switch On')
alertcondition(Down and not Down , title='Sell Switch On', message='Sell Switch On')
alertcondition(Up and not Up , title='Warning Stop any More Buys', message='Warning Stop any More Buys')
alertcondition(Down and not Down, title='Warning Stop any More Sells', message='Warning Stop any More Sells')
alertcondition(open > close or close <= open , title='Every Bar Alert', message='Every Bar Alert')
//-----------------------------------------------------------------------------}
//SUPLLY AND DEMAND
//-----------------------------------------------------------------------------{
//-----------------------------------------------------------------------------}
//SUPPORT AND RESISTANCE MTF
//-----------------------------------------------------------------------------{
const bool DEBUG = false
const int timeframeCount = 3
const float touchATR = 1.0 / 30.0
const float retestATR = 1.0 / 30.0
const float labelOffsetY = 1.5
const int labelOffsetsXIndex = 30
const int maxPivotsBackSR = 15
const int retestLabelEveryXBars = 3
const int maxTraverse = 250 // Affects bar history limit. Default value 250.
const int maxRetestLabels = 100
const int maxSupports = 3
const int maxResistances = 3
const int debug_maxPivotLabels = 25
// _____ INPUTS _____
resistanceSupportCount = input.int(3, "Support & Resistance Count", options = , group = "General Configuration", display = display.none)
pivotRange = input.int(15, "Pivot Range", options = , tooltip = "Increase for more general pivots, decrease for more private pivots.", group = "General Configuration", display = display.none)
strength = input.int(1, "Strength", options = , tooltip = "X many times price touched relative price area in order to be considered a support/resistance zone.", group = "General Configuration", display = display.none)
expandLines = input.bool(true,"Expand Lines & Zones", group = "General Configuration", display = display.none)
enableZones = input.bool(false, "Enable Zones", group = "Support & Resistance Zones", display = display.none)
zoneWidthType = input.string("Dynamic", "Zone Width Type", options = , group = "Support & Resistance Zones", display = display.none)
zoneWidth = input.int(1, "Fixed Zone Width", options = , group = "Support & Resistance Zones", display = display.none)
timeframe1Enabled = input.bool(true, title = "", group = "Timeframes", inline = "timeframe1", display = display.none)
timeframe1 = input.timeframe("", title = "", group = "Timeframes", inline = "timeframe1", display = display.none)
timeframe2Enabled = input.bool(true, title = "", group = "Timeframes", inline = "timeframe2", display = display.none)
timeframe2 = input.timeframe("240", title = "", group = "Timeframes", inline = "timeframe2", display = display.none)
timeframe3Enabled = input.bool(false, title = "", group = "Timeframes", inline = "timeframe3", display = display.none)
timeframe3 = input.timeframe("30", title = "", group = "Timeframes", inline = "timeframe3", display = display.none)
showBreaks = input.bool(true,"Show Breaks", group = "Breaks & Retests", inline = "ShowBR", display = display.none)
showRetests = input.bool(true,"Show Retests", group = "Breaks & Retests", inline = "ShowBR", display = display.none)
avoidFalseBreaks = input.bool(true, "Avoid False Breaks", group = "Breaks & Retests", display = display.none)
falseBreakoutVolumeThresholdOpt = input.float(0.3, "Break Volume Threshold", minval=0.1, maxval=1.0, step=0.1, group = "Breaks & Retests", tooltip = "Only taken into account if Avoid False Breakouts is enabled. Higher values mean it's less likely to be a break.", display = display.none)
inverseBrokenLineColor = input.bool(true, "Inverse Color After Broken", tooltip = "Needs Show Breaks & Expand Lines option enabled.", group = "Breaks & Retests", display = display.none)
falseBreakoutVolumeThreshold = falseBreakoutVolumeThresholdOpt * 100.0
lineStyle = input.string("....", "Line Style", , group = "Style", display = display.none)
lineWidth = input.int(1, "Line Width", minval = 1, group = "Style", display = display.none)
supportColor = input.color(#08998180, "Support Color", group = "Style", inline = "RScolors", display = display.none)
resistanceColor = input.color(#f2364580, "Resistance Color", group = "Style", inline = "RScolors", display = display.none)
textColor = input.color(#11101051, "Text Color", group = "Style", inline = "RScolors", display = display.none)
labelsAlign = input.string("Right", "Align Labels", options = , group = "Style", tooltip = "Will only work when zones are disabled.", display = display.none)
enableRetestAlerts = input.bool(true, "Enable Retest Alerts", tooltip = "Needs Show Retests option enabled.", group = "Alerts", display = display.none)
enableBreakAlerts = input.bool(true, "Enable Break Alerts", group = "Alerts", display = display.none)
memoryOptimizatonEnabled = input.bool(true, "Enable Memory Optimization", tooltip = "Enable this option if you encounter memory errors.", group = "Advanced", display = display.none)
// _____ INPUTS END _____
// _____ DEBUG OPTIONS _____
debug_labelPivots = not DEBUG ? "None" : input.string("None", title = " Label Pivots", group = "DEBUG", options = , tooltip = "All -> Debugs all pivot labels. RS -> Debugs RS pivot labels. None -> Debugs none of the last R&S; pivots.")
debug_pivotLabelText = not DEBUG ? false : input.bool(false, title = " Pivot Label Text", group = "DEBUG")
debug_showBrokenOnLabel = not DEBUG ? false : input.bool(false, " Show Broken Text On Label", group = "DEBUG")
debug_removeDuplicateRS = not DEBUG ? true : input.bool(true, " Remove Duplicate RS", group = "DEBUG")
debug_lastXResistances = not DEBUG ? 3 : input.int(3, " Show Last X Resistances", minval = 0, maxval = maxResistances, group = "DEBUG")
debug_lastXSupports = not DEBUG ? 3 : input.int(3, " Show Last X Supports", minval = 0, maxval = maxSupports, group = "DEBUG")
debug_enabledHistory = not DEBUG ? true : input.bool(true, " Enable History", group = "DEBUG")
debug_maxHistoryRecords = not DEBUG ? 10 : input.int(10, " Max History Records", options = , group = "DEBUG")
// _____ DEBUG OPTIONS END _____
atr1 = ta.atr(30)
createRSLine (color) =>
line.new(na, na, na, na, extend = expandLines ? extend.both : extend.none, xloc=xloc.bar_time, color = color, width = lineWidth, style = lineStyle == "----" ? line.style_dashed : lineStyl
pymath█ OVERVIEW
This library ➕ enhances Pine Script's built-in types (`float`, `int`, `array`, `array`) with mathematical methods, mirroring 🪞 many functions from Python's `math` module. Import this library to overload or add to built-in capabilities, enabling calls like `myFloat.sin()` or `myIntArray.gcd()`.
█ CONCEPTS
This library wraps Pine's built-in `math.*` functions and implements others where necessary, expanding the mathematical toolkit available within Pine Script. It provides a more object-oriented approach to mathematical operations on core data types.
█ HOW TO USE
• Import the library: i mport kaigouthro/pymath/1
• Call methods directly on variables: myFloat.sin() , myIntArray.gcd()
• For raw integer literals, you MUST use parentheses: `(1234).factorial()`.
█ FEATURES
• **Infinity Handling:** Includes `isinf()` and `isfinite()` for robust checks. Uses `POS_INF_PROXY` to represent infinity.
• **Comprehensive Math Functions:** Implements a wide range of methods, including trigonometric, logarithmic, hyperbolic, and array operations.
• **Object-Oriented Approach:** Allows direct method calls on `int`, `float`, and arrays for cleaner code.
• **Improved Accuracy:** Some functions (e.g., `remainder()`) offer improved accuracy compared to default Pine behavior.
• **Helper Functions:** Internal helper functions optimize calculations and handle edge cases.
█ NOTES
This library improves upon Pine Script's built-in `math` functions by adding new ones and refining existing implementations. It handles edge cases such as infinity, NaN, and zero values, enhancing the reliability of your Pine scripts. For Speed, it wraps and uses built-ins, as thy are fastest.
█ EXAMPLES
//@version=6
indicator("My Indicator")
// Import the library
import kaigouthro/pymath/1
// Create some Vars
float myFloat = 3.14159
int myInt = 10
array myIntArray = array.from(1, 2, 3, 4, 5)
// Now you can...
plot( myFloat.sin() ) // Use sin() method on a float, using built in wrapper
plot( (myInt).factorial() ) // Factorial of an integer (note parentheses)
plot( myIntArray.gcd() ) // GCD of an integer array
method isinf(self)
isinf: Checks if this float is positive or negative infinity using a proxy value.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) value to check.
Returns: (bool) `true` if the absolute value of `self` is greater than or equal to the infinity proxy, `false` otherwise.
method isfinite(self)
isfinite: Checks if this float is finite (not NaN and not infinity).
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The value to check.
Returns: (bool) `true` if `self` is not `na` and not infinity (as defined by `isinf()`), `false` otherwise.
method fmod(self, divisor)
fmod: Returns the C-library style floating-point remainder of `self / divisor` (result has the sign of `self`).
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) Dividend `x`.
divisor (float) : (float) Divisor `y`. Cannot be zero or `na`.
Returns: (float) The remainder `x - n*y` where n is `trunc(x/y)`, or `na` if divisor is 0, `na`, or inputs are infinite in a way that prevents calculation.
method factorial(self)
factorial: Calculates the factorial of this non-negative integer.
Namespace types: series int, simple int, input int, const int
Parameters:
self (int) : (int) The integer `n`. Must be non-negative.
Returns: (float) `n!` as a float, or `na` if `n` is negative or overflow occurs (based on `isinf`).
method isqrt(self)
isqrt: Calculates the integer square root of this non-negative integer (floor of the exact square root).
Namespace types: series int, simple int, input int, const int
Parameters:
self (int) : (int) The non-negative integer `n`.
Returns: (int) The greatest integer `a` such that a² <= n, or `na` if `n` is negative.
method comb(self, k)
comb: Calculates the number of ways to choose `k` items from `self` items without repetition and without order (Binomial Coefficient).
Namespace types: series int, simple int, input int, const int
Parameters:
self (int) : (int) Total number of items `n`. Must be non-negative.
k (int) : (int) Number of items to choose. Must be non-negative.
Returns: (float) The binomial coefficient nCk, or `na` if inputs are invalid (n<0 or k<0), `k > n`, or overflow occurs.
method perm(self, k)
perm: Calculates the number of ways to choose `k` items from `self` items without repetition and with order (Permutations).
Namespace types: series int, simple int, input int, const int
Parameters:
self (int) : (int) Total number of items `n`. Must be non-negative.
k (simple int) : (simple int = na) Number of items to choose. Must be non-negative. Defaults to `n` if `na`.
Returns: (float) The number of permutations nPk, or `na` if inputs are invalid (n<0 or k<0), `k > n`, or overflow occurs.
method log2(self)
log2: Returns the base-2 logarithm of this float. Input must be positive. Wraps `math.log(self) / math.log(2.0)`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be positive.
Returns: (float) The base-2 logarithm, or `na` if input <= 0.
method trunc(self)
trunc: Returns this float with the fractional part removed (truncates towards zero).
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (int) The integer part, or `na` if input is `na` or infinite.
method abs(self)
abs: Returns the absolute value of this float. Wraps `math.abs()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (float) The absolute value, or `na` if input is `na`.
method acos(self)
acos: Returns the arccosine of this float, in radians. Wraps `math.acos()`. Input must be between -1 and 1.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be between -1 and 1.
Returns: (float) Angle in radians , or `na` if input is outside or `na`.
method asin(self)
asin: Returns the arcsine of this float, in radians. Wraps `math.asin()`. Input must be between -1 and 1.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be between -1 and 1.
Returns: (float) Angle in radians , or `na` if input is outside or `na`.
method atan(self)
atan: Returns the arctangent of this float, in radians. Wraps `math.atan()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (float) Angle in radians , or `na` if input is `na`.
method ceil(self)
ceil: Returns the ceiling of this float (smallest integer >= self). Wraps `math.ceil()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (int) The ceiling value, or `na` if input is `na` or infinite.
method cos(self)
cos: Returns the cosine of this float (angle in radians). Wraps `math.cos()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The angle in radians.
Returns: (float) The cosine, or `na` if input is `na`.
method degrees(self)
degrees: Converts this float from radians to degrees. Wraps `math.todegrees()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The angle in radians.
Returns: (float) The angle in degrees, or `na` if input is `na`.
method exp(self)
exp: Returns e raised to the power of this float. Wraps `math.exp()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The exponent.
Returns: (float) `e**self`, or `na` if input is `na`.
method floor(self)
floor: Returns the floor of this float (largest integer <= self). Wraps `math.floor()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (int) The floor value, or `na` if input is `na` or infinite.
method log(self)
log: Returns the natural logarithm (base e) of this float. Wraps `math.log()`. Input must be positive.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be positive.
Returns: (float) The natural logarithm, or `na` if input <= 0 or `na`.
method log10(self)
log10: Returns the base-10 logarithm of this float. Wraps `math.log10()`. Input must be positive.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be positive.
Returns: (float) The base-10 logarithm, or `na` if input <= 0 or `na`.
method pow(self, exponent)
pow: Returns this float raised to the power of `exponent`. Wraps `math.pow()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The base.
exponent (float) : (float) The exponent.
Returns: (float) `self**exponent`, or `na` if inputs are `na` or lead to undefined results.
method radians(self)
radians: Converts this float from degrees to radians. Wraps `math.toradians()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The angle in degrees.
Returns: (float) The angle in radians, or `na` if input is `na`.
method round(self)
round: Returns the nearest integer to this float. Wraps `math.round()`. Ties are rounded away from zero.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (int) The rounded integer, or `na` if input is `na` or infinite.
method sign(self)
sign: Returns the sign of this float (-1, 0, or 1). Wraps `math.sign()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (int) -1 if negative, 0 if zero, 1 if positive, `na` if input is `na`.
method sin(self)
sin: Returns the sine of this float (angle in radians). Wraps `math.sin()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The angle in radians.
Returns: (float) The sine, or `na` if input is `na`.
method sqrt(self)
sqrt: Returns the square root of this float. Wraps `math.sqrt()`. Input must be non-negative.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be non-negative.
Returns: (float) The square root, or `na` if input < 0 or `na`.
method tan(self)
tan: Returns the tangent of this float (angle in radians). Wraps `math.tan()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The angle in radians.
Returns: (float) The tangent, or `na` if input is `na`.
method acosh(self)
acosh: Returns the inverse hyperbolic cosine of this float. Input must be >= 1.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be >= 1.
Returns: (float) The inverse hyperbolic cosine, or `na` if input < 1 or `na`.
method asinh(self)
asinh: Returns the inverse hyperbolic sine of this float.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (float) The inverse hyperbolic sine, or `na` if input is `na`.
method atanh(self)
atanh: Returns the inverse hyperbolic tangent of this float. Input must be between -1 and 1 (exclusive).
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number. Must be between -1 and 1 (exclusive).
Returns: (float) The inverse hyperbolic tangent, or `na` if input is outside (-1, 1) or `na`.
method cosh(self)
cosh: Returns the hyperbolic cosine of this float.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (float) The hyperbolic cosine, or `na` if input is `na`.
method sinh(self)
sinh: Returns the hyperbolic sine of this float.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (float) The hyperbolic sine, or `na` if input is `na`.
method tanh(self)
tanh: Returns the hyperbolic tangent of this float.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The input number.
Returns: (float) The hyperbolic tangent, or `na` if input is `na`.
method atan2(self, dx)
atan2: Returns the angle in radians between the positive x-axis and the point (dx, self). Wraps `math.atan2()`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The y-coordinate `y`.
dx (float) : (float) The x-coordinate `x`.
Returns: (float) The angle in radians , result of `math.atan2(self, dx)`. Returns `na` if inputs are `na`. Note: `math.atan2(0, 0)` returns 0 in Pine.
Optimization: Use built-in math.atan2()
method cbrt(self)
cbrt: Returns the cube root of this float.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The value to find the cube root of.
Returns: (float) The real cube root. Handles negative inputs correctly, or `na` if input is `na`.
method exp2(self)
exp2: Returns 2 raised to the power of this float. Calculated as `2.0.pow(self)`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The exponent.
Returns: (float) `2**self`, or `na` if input is `na` or results in non-finite value.
method expm1(self)
expm1: Returns `e**self - 1`. Calculated as `self.exp() - 1.0`. May offer better precision for small `self` in some environments, but Pine provides no guarantee over `self.exp() - 1.0`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The exponent.
Returns: (float) `e**self - 1`, or `na` if input is `na` or `self.exp()` is `na`.
method log1p(self)
log1p: Returns the natural logarithm of (1 + self). Calculated as `(1.0 + self).log()`. Pine provides no specific precision guarantee for self near zero.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) Value to add to 1. `1 + self` must be positive.
Returns: (float) Natural log of `1 + self`, or `na` if input is `na` or `1 + self <= 0`.
method modf(self)
modf: Returns the fractional and integer parts of this float as a tuple ` `. Both parts have the sign of `self`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The number `x` to split.
Returns: ( ) A tuple containing ` `, or ` ` if `x` is `na` or non-finite.
method remainder(self, divisor)
remainder: Returns the IEEE 754 style remainder of `self` with respect to `divisor`. Result `r` satisfies `abs(r) <= 0.5 * abs(divisor)`. Uses round-half-to-even.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) Dividend `x`.
divisor (float) : (float) Divisor `y`. Cannot be zero or `na`.
Returns: (float) The IEEE 754 remainder, or `na` if divisor is 0, `na`, or inputs are non-finite in a way that prevents calculation.
method copysign(self, signSource)
copysign: Returns a float with the magnitude (absolute value) of `self` but the sign of `signSource`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) Value providing the magnitude `x`.
signSource (float) : (float) Value providing the sign `y`.
Returns: (float) `abs(x)` with the sign of `y`, or `na` if either input is `na`.
method frexp(self)
frexp: Returns the mantissa (m) and exponent (e) of this float `x` as ` `, such that `x = m * 2^e` and `0.5 <= abs(m) < 1` (unless `x` is 0).
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) The number `x` to decompose.
Returns: ( ) A tuple ` `, or ` ` if `x` is 0, or ` ` if `x` is non-finite or `na`.
method isclose(self, other, rel_tol, abs_tol)
isclose: Checks if this float `a` and `other` float `b` are close within relative and absolute tolerances.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) First value `a`.
other (float) : (float) Second value `b`.
rel_tol (simple float) : (simple float = 1e-9) Relative tolerance. Must be non-negative and less than 1.0.
abs_tol (simple float) : (simple float = 0.0) Absolute tolerance. Must be non-negative.
Returns: (bool) `true` if `abs(a - b) <= max(rel_tol * max(abs(a), abs(b)), abs_tol)`. Handles `na`/`inf` appropriately. Returns `na` if tolerances are invalid.
method ldexp(self, exponent)
ldexp: Returns `self * (2**exponent)`. Inverse of `frexp`.
Namespace types: series float, simple float, input float, const float
Parameters:
self (float) : (float) Mantissa part `x`.
exponent (int) : (int) Exponent part `i`.
Returns: (float) The result of `x * pow(2, i)`, or `na` if inputs are `na` or result is non-finite.
method gcd(self)
gcd: Calculates the Greatest Common Divisor (GCD) of all integers in this array.
Namespace types: array
Parameters:
self (array) : (array) An array of integers.
Returns: (int) The largest positive integer that divides all non-zero elements, 0 if all elements are 0 or array is empty. Returns `na` if any element is `na`.
method lcm(self)
lcm: Calculates the Least Common Multiple (LCM) of all integers in this array.
Namespace types: array
Parameters:
self (array) : (array) An array of integers.
Returns: (int) The smallest positive integer that is a multiple of all non-zero elements, 0 if any element is 0, 1 if array is empty. Returns `na` on potential overflow or if any element is `na`.
method dist(self, other)
dist: Returns the Euclidean distance between this point `p` and another point `q` (given as arrays of coordinates).
Namespace types: array
Parameters:
self (array) : (array) Coordinates of the first point `p`.
other (array) : (array) Coordinates of the second point `q`. Must have the same size as `p`.
Returns: (float) The Euclidean distance, or `na` if arrays have different sizes, are empty, or contain `na`/non-finite values.
method fsum(self)
fsum: Returns an accurate floating-point sum of values in this array. Uses built-in `array.sum()`. Note: Pine Script does not guarantee the same level of precision tracking as Python's `math.fsum`.
Namespace types: array
Parameters:
self (array) : (array) The array of floats to sum.
Returns: (float) The sum of the array elements. Returns 0.0 for an empty array. Returns `na` if any element is `na`.
method hypot(self)
hypot: Returns the Euclidean norm (distance from origin) for this point given by coordinates in the array. `sqrt(sum(x*x for x in coordinates))`.
Namespace types: array
Parameters:
self (array) : (array) Array of coordinates defining the point.
Returns: (float) The Euclidean norm, or 0.0 if the array is empty. Returns `na` if any element is `na` or non-finite.
method prod(self, start)
prod: Calculates the product of all elements in this array.
Namespace types: array
Parameters:
self (array) : (array) The array of values to multiply.
start (simple float) : (simple float = 1.0) The starting value for the product (returned if the array is empty).
Returns: (float) The product of array elements * start. Returns `na` if any element is `na`.
method sumprod(self, other)
sumprod: Returns the sum of products of values from this array `p` and another array `q` (dot product).
Namespace types: array
Parameters:
self (array) : (array) First array of values `p`.
other (array) : (array) Second array of values `q`. Must have the same size as `p`.
Returns: (float) The sum of `p * q ` for all i, or `na` if arrays have different sizes or contain `na`/non-finite values. Returns 0.0 for empty arrays.
[blackcat] L3 Market Pulse InsightOVERVIEW
The L3 Market Pulse Insight provides comprehensive analytics by evaluating key price metrics to reveal critical market sentiment and potential trade opportunities 📊🔍. This advanced indicator leverages proprietary calculations involving Simple Moving Averages (SMAs), Exponential Moving Averages (EMAs), and custom thresholds to deliver detailed insights into current market dynamics 🚀✨.
By plotting various lines representing core fundamentals and directional cues, traders gain visibility into underlying trends and shifts within the market pulse. The visual aids simplify complex data interpretation, making it easier for users to make strategic decisions based on clear, actionable information ✅⛈️.
FEATURES
Advanced Calculation Techniques:
Employs sophisticated formulas integrating SMAs and EMAs for precise trend analysis.
Incorporates fundamental lines and confirmations based on recent price extremes.
Comprehensive Visualization:
Plots multiple informational lines: Fundamental Line, Thresholds, Institutional Directions, etc., each reflecting unique aspects of price behavior.
Uses distinct colors for easy differentiation between bearish and bullish indications.
Customizable Alerts:
Generates "Buy" and "Sell" labels at pivotal moments, highlighting entry/exit points visually.
Offers flexibility to modify alert styles and positions according to user preferences.
Dynamic Adaptability:
Continuously updates plots and alerts based on incoming real-time data for timely responses.
Provides dynamic support/resistance levels adapting to evolving market conditions.
HOW TO USE
Installing the Indicator:
To start using the L3 Market Pulse Insight, add it via the Pine Editor on TradingView:
Open the editor from the bottom panel.
Copy-paste the provided script code.
Click “Add to Chart” after pasting.
Understanding Key Lines:
Familiarize yourself with what each plotted line signifies:
Fundamental Line: Represents core price movements adjusted through SMA transformations.
Low Confirmation & Warnings: Provide early signals about potential reversals or continuation scenarios.
Threshold B: Acts as a significant barrier indicating overbought/sold conditions.
Institutional Directions: Offer insights into larger player activities and intentions.
Interpreting Signals:
Pay close attention to generated "Buy" and "Sell" labels appearing directly on your chart:
"Buy" Label: Indicates favorable momentum crossing from below the confirmation level upwards.
"Sell" Label: Suggests bearish transitions when moving beneath set thresholds.
Adjusting Parameters:
While this version primarily uses default settings derived from optimal testing ranges, feel free to experiment:
Modify lookback periods in SMA/EMA functions if different timeframes align better with your strategy.
Customize plot colors/styles for enhanced readability and personal taste.
Integrating with Other Tools:
Enhance the reliability of signals produced by combining them with complementary indicators like RSI, MACD, or volume profiles for thorough validation.
Continuous Monitoring:
Regularly review performance and refine strategies incorporating insights gathered from L3 Market Pulse Insight across varying markets and assets.
LIMITATIONS
Data Dependency: Performance heavily relies on accurate historical data without anomalies.
Market Conditions Variability: Effectiveness may vary during extreme volatility or thin liquidity environments.
Parameter Fine-Tuning: Optimal configuration might differ significantly across instruments; continuous adjustments are necessary.
No Guarantees: Like any tool, this doesn't ensure profits and should be part of a broader analytical framework.
NOTES
Ensure solid grounding in technical analysis principles before deploying solely upon these insights.
Utilize backtesting rigorously under diverse market cycles to assess robustness thoroughly.
Consider external factors such as economic reports, geopolitical events influencing asset prices beyond purely statistical models.
Maintain discipline adhering predefined risk management protocols regardless of signal strength displayed here.
THANKS
We appreciate every member's contributions who have engaged actively throughout our development journey, offering constructive feedback driving improvements continually 🙏. Together we strive toward creating ever-more robust tools empowering traders worldwide!
ZigZag PercentZigZag percentage is based on MT5 ZigZag indicator with the advantage of showing each move's percentage change.
Measuring the moves can help you predict future move sizes.
5 EMA Short Strategy (Uptrend Filter for 5-min)
Trend based 5 EMA short strategy.
Visualization is kept simple for better back testing and to avoid confirmation bias. It uses 20 EMA trending momentum to establish 5ema shorts. More restrictive and tighter specification.
Trend EMA length=20 day period
Short EMA length=5 day period
Disclaimer: I don't own this strategy only adding some script tweaks to what is publicly available to make it more restrictive and narrow. Feel free to credit the one who conceptualized it and I shall add their names as needed.
GainzAlgo Standard// © GainzAlgo
//@version=5
indicator('GainzAlgo Standard', overlay=true, max_labels_count=500)
stable_candle = math.abs(close - open) / ta.tr > .5
rsi = ta.rsi(close, 14)
bullish_engulfing = close < open and close > open and close > open
rsi_below_50 = rsi < 50
decrease_over_5 = close < close
bull = bullish_engulfing and stable_candle and rsi_below_50 and decrease_over_5
bearish_engulfing = close > open and close < open and close < open
rsi_above_50 = rsi > 50
increase_over_5 = close > close
bear = bearish_engulfing and stable_candle and rsi_above_50 and increase_over_5
label.new(bull ? bar_index : na, low, 'BUY', color=color.rgb(0, 255, 8), style=label.style_label_up, textcolor=color.white, size=size.large)
label.new(bear ? bar_index : na, high, 'SELL', color=color.rgb(255, 0, 0), style=label.style_label_down, textcolor=color.white, size=size.large)
Vietnamese Market Structure With CountersThis indicator is designed to track Market Structure with Swing-Low Breakdowns and Swing-High Breakups specifically tailored for the Vietnamese stock market, though it can be applied elsewhere too. By default, it uses a 10-period EMA to dynamically detect key turning points in price action and count significant breakdowns or breakups from previous swing levels.
As an open source, you can modify the source code to match your needs.
What it does:
Detects when price breaks below previous swing lows or above previous swing highs.
Plots swing levels for both highs and lows.
Displays labeled counters on the chart to show how many consecutive breakdowns or breakups have occurred.
Helps traders identify trend shifts and possible exhaustion in moves.
Why it's useful:
This tool is great for visually tracking market momentum and structure changes — especially in trending or volatile environments. It emphasizes structure over indicators, helping you understand price behavior in a simplified, intuitive way.
License:
This script is published under the Mozilla Public License 2.0. Feel free to use, modify, and contribute!
Created with care by @doqkhanh.
If you find it useful, consider leaving a comment or sharing it with others!
FTC Confirmation (Daily + 60 + 30)This Pine Script strategy provides a "Full Timeframe Confirmation" (FTC) system by analyzing three timeframes: Daily, 60-min, and 30-min. It checks if all timeframes align in the same direction (either bullish or bearish) and colors the current candle accordingly. A green candle indicates a full bullish confirmation, while a maroon candle indicates a full bearish confirmation. This helps identify market trend reinforcement or rejection based on multi-timeframe analysis.
[blackcat] L2 Market Risk MeterOVERVIEW
The L2 Market Risk Meter is designed to evaluate market conditions using various technical indicators including Moving Averages (MA), Moving Average Convergence Divergence (MACD), and Bollinger Bands 📈🔍. By analyzing these elements, the script helps traders identify potential buying opportunities and assess the overall market sentiment more effectively. This comprehensive approach aids in making informed trading decisions by providing clear visual representations of critical market factors 🚀💸.
Key components include the calculation of short-term and long-term moving averages, MACD lines, and Bollinger Bands, which are then used to plot histograms and labels directly on the chart. These visual cues assist traders in quickly interpreting complex market data, thereby enhancing their ability to navigate volatile markets and capitalize on emerging trends ✅✨.
FEATURES
Advanced Technical Analysis:
Utilizes Short and Long Moving Averages (MAs) to capture different trend durations.
Implements MACD for detecting changes in the strength, direction, momentum, and duration of a trend.
Incorporates Bollinger Bands to measure volatility and provide dynamic support/resistance levels.
Comprehensive Visualization:
Generates colored histograms representing positive and negative MACD values.
Displays labels indicating "Safe," "Risk," and "Buy" signals at crucial points on the chart.
Flexible Settings:
Allows customization of the short_ma_period and long_ma_period to tailor the analysis to individual trading styles or asset types.
Provides configurable colors and styles for histograms and labels to suit personal preferences.
Real-Time Feedback:
Updates dynamically as new price data becomes available, ensuring timely insights.
Facilitates rapid identification of shifts in market conditions through clear graphical outputs.
HOW TO USE
Adding the Indicator:
Begin by adding the L2 Market Risk Meter to your chart on TradingView. You can do this via the "Pine Editor" located at the bottom of the screen. Simply copy-paste the script into the editor and click "Add to Chart."
Configuring Parameters:
Adjust the short_ma_period and long_ma_period inputs based on your preferred timeframes and strategies. For example, shorter periods will react faster but may be noisier, while longer periods offer smoother trends but slower reactions.
Interpreting Histograms:
Monitor the plotted histograms closely:
Positive Values: Represent bullish momentum where the closing prices are higher than the moving average.
Negative Values: Suggest bearish pressure when the closing prices fall below the moving average.
Understanding Labels:
Pay attention to generated labels for actionable insights:
"Safe" Zone: Appears when the price crosses from below to above the lower Bollinger Band, suggesting reduced risk.
"Risk" Zone: Indicates heightened caution if the price breaches upward from below the upper Bollinger Band.
"Buy" Signal: Triggered under stringent bullish conditions combining all predefined criteria, signaling an opportune moment to enter long positions.
Integrating with Other Tools:
Use the L2 Market Risk Meter alongside other technical studies and fundamental analyses to corroborate findings and strengthen your trading strategy.
Regular Review:
Periodically revisit and tweak your parameters and interpretations in light of changing market environments and performance evaluations.
LIMITATIONS
Dependency on Historical Data: Since the indicator relies extensively on historical price movements, its predictions about future trends should be viewed cautiously.
Not Standalone Solution: Like any other tool, it does not guarantee profitability and must be part of a holistic trading plan that includes multiple confirmation methods.
Parameter Sensitivity: Optimal performance depends greatly on selecting appropriate MA period lengths; improper choices could lead to misleading signals.
Volatility Assumptions: The effectiveness of Bollinger Bands varies across different market conditions, especially during low volatility phases where bands might fail to expand significantly.
NOTES
Understanding individual components such as MAs, MACDs, and Bollinger Bands is essential before fully depending on this script's output.
Always backtest any new strategy incorporating this meter thoroughly against diverse market scenarios to gauge reliability.
Consider employing supplementary filters like volume spikes or candlestick patterns to validate signals further.
Be mindful of sudden news events or economic releases impacting asset prices independently of underlying trends highlighted here.
THANKS
A big thank you goes out to fellow members of the TradingView community who have contributed invaluable feedback and suggestions throughout the development process of this indicator 🙏. Your input has been instrumental in refining and improving the functionality and usability of the L2 Market Risk Meter. Continue sharing your experiences so we can collectively enhance our trading capabilities!
Forex Fire Sling Shot with Trade ManagementForex Fire Sling Shot Indicator with Trade Management
Description
The Forex Fire Sling Shot Indicator is a comprehensive trading system designed specifically for forex markets. It combines trend analysis, momentum confirmation, and advanced trade management features to help traders identify high-probability trading opportunities.
This indicator provides clear entry signals based on multiple EMA crossovers with MACD confirmation, while incorporating professional trade management tools including automatic stop loss calculation, take profit targets, and breakeven management.
Key Features
Triple EMA Trend Analysis: Uses 15, 50, and 200 EMAs to identify trend direction and entry points
MACD Confirmation: Optional MACD filter for enhanced signal reliability
Premium Signals: Strict entry criteria combining EMA crossover with MACD crossover
Automatic Trade Management: Calculates entry, stop loss, and take profit levels
Breakeven Management: Automatically adjusts stop loss to breakeven at predetermined profit levels
Visual Trade Setup: Displays trade management levels with clear labels
Status Dashboard: Real-time display of current market conditions
Alert System: Built-in alerts for premium trading signals
How to Use
Setup
Add the indicator to any forex chart (recommended timeframes: 1H, 4H, Daily)
Ensure your chart is clean without overlapping indicators
Configure input parameters according to your trading style
Signal Identification
Premium Buy Signal (Diamond Below Bar)
15 EMA crosses above 50 EMA
Price is above 200 EMA (bullish trend)
MACD line crosses above signal line
Green diamond appears below candle
Premium Sell Signal (Diamond Above Bar)
15 EMA crosses below 50 EMA
Price is below 200 EMA (bearish trend)
MACD line crosses below signal line
Fuchsia diamond appears above candle
Trade Execution
When a premium signal appears:
Entry:
Buy: Place order above the signal candle's high
Sell: Place order below the signal candle's low
Stop Loss:
Buy: Lowest low of the past 5 candles (adjustable)
Sell: Highest high of the past 5 candles (adjustable)
Take Profit:
Automatically calculated based on your Risk-Reward ratio (default 1:1.5)
Breakeven Management:
Stop loss moves to breakeven when trade reaches 50% of target (adjustable)
Input Parameters
EMA Settings
Short EMA Period (default: 15)
Long EMA Period (default: 50)
Trend EMA Period (default: 200)
MACD Settings
MACD Fast Length (default: 12)
MACD Slow Length (default: 26)
MACD Signal Length (default: 9)
Require MACD Confirmation (default: true)
Trade Management
Risk-Reward Ratio (default: 1.5)
Stop Loss Lookback Candles (default: 5)
Move SL to Breakeven at % of TP (default: 0.5)
Show Trade Management Labels (default: true)
Alert Settings
Enable Premium Signal Alerts (default: true)
Status Dashboard
The top-right dashboard displays:
MACD Signal status (Bullish/Bearish/Cross)
Overall Trend direction
Current Signal status
Trade Setup details (if active)
Risk-Reward information
Breakeven status
Visual Elements
Green Line: 15 EMA (Fast)
Red Line: 50 EMA (Medium)
Black Line: 200 EMA (Trend)
Yellow Lines: Entry levels
Red Lines: Stop loss levels
Green Lines: Take profit levels
Blue Lines: Breakeven levels
Purple Lines: Breakeven trigger levels
Trading Tips
Only trade premium signals in the direction of the trend (above/below 200 EMA)
Wait for candle close before entering trades
Use higher timeframes for better signal reliability (4H, Daily)
Consider market sessions and major news events
Always use proper position sizing based on your account risk
Risk Disclaimer
This indicator is for educational and informational purposes only. Trading forex involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always conduct your own analysis and risk management.
Updates and Support
The indicator includes built-in alerts for premium signals. To set up alerts:
Right-click on the chart
Select "Add Alert"
Choose "Forex Fire Sling Shot with Trade Management"
Select either "Premium Fire Sling Shot Buy" or "Premium Fire Bear Sling Sell"
For questions or support, please use the comments section below the indicator.
[blackcat] L1 Swing Reversal IndexOVERVIEW
The indicator is crafted to assist traders in identifying potential swing reversal points within various markets 📈✨. This sophisticated tool combines elements from price deviations, smoothed moving averages, and relative strength indices (RSIs) to generate actionable trade signals, making it easier for users to spot lucrative entry/exit opportunities. By visualizing key market conditions through customizable plots and labels, this indicator simplifies complex analyses into straightforward decisions.
Ideal for day traders or swing traders looking to capitalize on short-to-medium-term trends, the offers invaluable insights into market sentiment changes enabling precise timing of trades.
FEATURES
Dynamic Price Deviation Calculation: Computes adaptive price deviations considering both typical prices and volatility metrics.
Smoothed Deviations: Utilizes dual-smoothing techniques ensuring accurate reflection of underlying trends without excessive noise interference.
Enhanced RSI Integration: Includes a modified version of Relative Strength Index providing clearer overbought/oversold conditions.
Visual Signal Representation:
Colored columns indicating bullish/bearish pressure levels directly on the chart.
Dynamic labels marking specific buy/sell conditions enhancing clarity.
Customizable Parameters: Allows tweaking smoothing, volatility, and RSI periods according to user preferences facilitating tailored usage.
Alert Notifications: Supports real-time alerts via TradingView’s integrated system keeping traders informed promptly ✅🔔.
HOW TO USE
Script Setup:
Save the provided code under Indicators > Add Custom Indicator in your TradingView workspace.
Name appropriately and activate across desired charts.
Parameter Adjustments:
Configure Smoothing, Volatility, and RSI periods based on preferred trading styles or asset characteristics:
Shorter durations suit fast-paced environments while longer ones align better with slower-moving assets.
Experiment iteratively optimizing settings maximizing accuracy for specific needs.
Interpreting Plots/Labels:
Observe colored columns representing current market sentiment:
Green columns signify bullish momentum suggesting possible buying opportunities.
Red columns indicate bearish tendencies hinting at selling chances.
Note dynamic "BUY" & "SELL" labels triggered under predefined criteria guiding timely actions.
Incorporating Signals:
Integrate these generated cues within broader strategies leveraging support/resistance lines, volume data, etc., ensuring robust validation before executing trades.
Cross-reference alongside other complementary tools (e.g., MACD, Bollinger Bands) for added confirmation bolstering decision-making confidence.
Setting Up Alerts:
Enable alert notifications corresponding to crucial conditions ensuring timely updates via TradingView’s notification infrastructure.
Fine-tune alert messages reflecting personal requirements maintaining seamless workflow integration.
Testing & Validation:
Conduct thorough backtesting employing historical datasets verifying effectiveness amidst varying market scenarios.
Continuously refine parameter configurations enhancing overall performance mitigating false positives/negatives.
EXAMPLE SCENARIOS
Short-Term Trades: Capitalize on fleeting reversals by focusing primarily on shorter-period RSIs combined with swift price deviation movements.
Swing Strategies: Utilize medium-range settings identifying intermediate trend shifts maximizing profit potentials while minimizing risks.
LIMITATIONS
Accuracy relies heavily upon correctly configured inputs; hence regular re-evaluation aligning evolving dynamics proves imperative.
Excessive dependence solely on this metric might lead to missed opportunities during sideways/choppy phases necessitating additional confirmatory indicators.
Always complement outputs with fundamental analyses securing comprehensive perspectives effectively managing associated risks.
NOTES
Educational Insights: Gain deeper understanding exploring underlying principles behind price deviations and their role in technical analysis fostering better comprehension.
Risk Management Protocols: Employ strict risk management practices encompassing stop-loss/profit targets preserving capital integrity amid unpredictable market fluctuations.
Continuous Learning: Stay abreast exploring emerging financial landscapes incorporating innovative methodologies augmenting script utility and relevance.
THANKS
Thanks go out to everyone contributing towards refining and improving this script. Your valuable feedback fuels ongoing enhancements propelling superior trading experiences!
Volumetric Pivot Echo🔮 Volumetric Pivot Echo (VPE)
Future Price Projection Zones with Confidence Scoring
📘 Overview
The Volumetric Pivot Echo (VPE) is a next-generation leading indicator that identifies high-volume reversal points and echoes their price + time behavior into the future — giving you a visual forecast box that includes a confidence score, price range, and duration estimate.
It’s designed for swing and options traders who want forward guidance based on real structure, not just reactive signals.
⚙️ How It Works
Pivot Detection – Finds pivot highs/lows based on configurable bar structure.
Volume Confirmation – Only confirms pivots backed by strong volume (e.g., 1.5× average).
Echo Logic – Measures the price move and time it took to reach the pivot.
ATR Scaling – Adjusts projections based on current market volatility.
Confidence Score – Rates each projection (0–100%) based on structure match, volatility, and direction alignment.
📦 What Appears on Chart
Projection Box:
A forward-drawn rectangle from the current bar to the estimated future zone. The box's size and duration mirror the last valid momentum leg.
Box Label Text:
🔹 Range (projected move size)
⏱️ Duration (bars expected)
✅ Confidence %
VPH/VPL Markers:
Pivot highs and lows confirmed by volume, marked with “VPH” or “VPL”.
🎯 How to Trade with It
Use the box as a target zone for directional trades.
If price enters a box with >85% confidence, consider it a high-quality path projection.
Use with support/resistance confluence or entry systems.
Works especially well for swing trading, breakout setups, or options targeting.
🛠️ Recommended Settings
Box Transparency: Set Projection Up/Down Color to 90 (10% visible).
Text Color: Set to white for readability.
Volume Multiplier: Default 1.5x, increase in choppy markets.
Projection Duration: Start with 1.0x echo multiplier and fine-tune.
⏳ Timeframes & Accuracy
Timeframe Confidence Zones Most Reliable
15m – 1h Use 70–85% confidence scores
1h – 4h Sweet spot for balanced signals
1D – 1W Strongest historical echo tracking (>85% ideal)
✅ Key Features
Forward-looking, non-repainting logic
Clear visual projections — no guesswork
Confidence scoring built-in
ATR-adjusted — adapts to volatility
Works on any asset (stocks, crypto, FX)
🧠 Why It’s Unique
This is not a lagging oscillator or classic trend-following tool.
It’s a leading structure projection model — combining pivot behavior, volume intensity, and market volatility to sketch forward “echo zones” based on the past.
