Pivot Trend Flow [BigBeluga]🔵 OVERVIEW
Pivot Trend Flow turns raw swing points into a clean, adaptive trend band. It averages recent pivot highs and lows to form two dynamic reference levels; when price crosses above the averaged highs, trend flips bullish and a green band is drawn; when it crosses below the averaged lows, trend flips bearish and a red band is drawn. During an uptrend the script highlights breakouts of previous pivot highs with ▲ labels, and during a downtrend it flags breakdowns of previous pivot lows with ▼ labels—making structure shifts and continuation signals obvious.
🔵 CONCEPTS
Pivot-Based Averages : Recent pivot highs/lows are collected and averaged to create smoothed upper/lower reference levels.
if not na(ph)
phArray.push(ph)
if not na(pl)
plArray.push(pl)
if phArray.size() > avgWindow
upper := phArray.avg()
phArray.shift()
if plArray.size() > avgWindow
lower := plArray.avg()
plArray.shift()
Trend State via Crosses : Close above the averaged-highs ⇒ bullish trend; close below the averaged-lows ⇒ bearish trend.
Trend Band : A colored band (green/red) is plotted and optionally filled to visualize the active regime around price.
Structure Triggers :
In bull mode the tool watches for prior pivot-high breakouts (▲).
In bear mode it watches for prior pivot-low breakdowns (▼).
🔵 FEATURES
Adaptive Trend Detection from averaged pivot highs/lows.
Clear Visuals : Green band in uptrends, red band in downtrends; optional fill for quick read.
Breakout/Breakdown Labels :
▲ marks breaks of previous pivot highs in uptrends
▼ marks breaks of previous pivot lows in downtrends
Minimal Clutter : Uses compact lines and labels that extend only on confirmation.
Customizable Colors & Fill for trend states and band styling.
🔵 HOW TO USE
Pivot Length : Sets how swing points are detected. Smaller = more reactive; larger = smoother.
Avg Window (pivots) : How many recent pivot highs/lows are averaged. Increase to stabilize the band; decrease for agility.
Read the Band :
Green band active ⇒ prioritize longs, pullback buys toward the band.
Red band active ⇒ prioritize shorts, pullback sells toward the band.
Trade the Triggers :
In bull mode, ▲ on a prior pivot-high break can confirm continuation.
In bear mode, ▼ on a prior pivot-low break can confirm continuation.
Combine with Context : Use HTF trend, S/R, or volume for confluence and to filter signals.
Fill Color Toggle : Enable/disable band fill to match your chart style.
🔵 CONCLUSION
Pivot Trend Flow converts swing structure into an actionable, low-lag trend framework. By blending averaged pivots with clean breakout/breakdown labels, it clarifies trend direction, timing, and continuation spots—ideal as a core bias tool or a confirmation layer in any trading system.
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Simple Turnover (Enhanced v2)📊 Simple Turnover (Enhanced)
🔹 Overview
The Simple Turnover Indicator calculates a stock’s turnover by combining both price and volume, and then compares it against quarterly highs. This helps traders quickly gauge whether market participation in a move is strong enough to confirm a breakout, or weak and likely to be false.
Unlike volume alone, turnover considers both traded volume and price level, giving a truer reflection of capital flow in/out of a stock.
________________________________________
🔹 Formulae Used
1. Average Price (SMA)
AvgPrice=SMA(Close,n)
2. Average Volume (SMA)
AvgVol=SMA(Volume,n)
3. Turnover (Raw)
Turnover raw=AvgPrice × AvgVol
4. Unit Adjustment
• If Millions → Turnover = Turnover raw × 10^−6
• If Crores → Turnover = Turnover raw × 10^−7
• If Raw → Turnover = Turnover raw
5. Quarterly High Turnover (qHigh)
Within each calendar quarter (Jan–Mar, Apr–Jun, Jul–Sep, Oct–Dec), we track the maximum turnover seen:
qHigh=max (Turnover within current quarter)
________________________________________
🔹 Visualization
• Bars → Color follows price candle:
o Green if Close ≥ Open
o Red if Close < Open
• Blue Line → Rolling Quarterly High Turnover (qHigh)
________________________________________
🔹 Strategy Use Case
The Simple Turnover Indicator is most effective for confirming true vs false breakouts.
• A true breakout should be supported by increasing turnover, showing real capital backing the move.
• A false breakout often occurs with weak or declining turnover, suggesting lack of conviction.
📌 Example Strategy (3H timeframe):
1. Identify a demand zone using your preferred supply-demand indicator.
2. From this demand zone, monitor turnover bars.
3. A potential long entry is validated when:
o The current turnover bar is at least 20% higher than the previous one or two bars.
o Example setting: SMA length = 5 (i.e., turnover = 5-bar average close × 5-bar average volume).
4. This confirms strong participation in the move, increasing probability of a sustained breakout.
________________________________________
🔹 Disclaimer
⚠️ This indicator/strategy does not guarantee 100% accurate results.
It is intended to improve the probability of identifying true breakouts.
The actual success of the strategy will depend on price action, market momentum, and prevailing market conditions.
Always use this as a supporting tool along with broader trading analysis and risk management.
Sunil 2 Bar Breakout StrategyDetailed Explanation of the Sunil 2 Bar Breakout Strategy
Introduction
The Sunil 2 Bar Breakout Strategy is a simple yet effective price-action-based approach designed to identify breakout opportunities in financial markets. This strategy analyzes the movement of the last three candles to detect momentum and initiates trades in the direction of the breakout. It is equipped with a built-in stop-loss mechanism to protect capital, making it suitable for traders looking for a structured and disciplined trading system.
The strategy works well across different timeframes and asset classes, including indices, stocks, forex, and cryptocurrencies. Its versatility makes it ideal for both intraday and swing trading.
Core Concept
The strategy revolves around two primary conditions: breakout identification and risk management.
Breakout Identification:
Long Trade Setup: The strategy identifies bullish breakouts when:
The current candle's closing price is higher than the previous candle's closing price.
The high of the previous candle is greater than the highs of the two candles before it.
Short Trade Setup: The strategy identifies bearish breakouts when:
The current candle's closing price is lower than the previous candle's closing price.
The low of the previous candle is lower than the lows of the two candles before it.
Risk Management:
Stop-Loss: For each trade, a stop-loss is automatically set:
For long trades, the stop-loss is set to the low of the previous candle.
For short trades, the stop-loss is set to the high of the previous candle.
This ensures that losses are minimized if the breakout fails.
Exit Logic:
The trade is closed automatically when the stop-loss is hit.
This approach maintains discipline and prevents emotional trading.
Strategy Workflow
Entry Criteria:
Long Entry: A long trade is triggered when:
The current close is greater than the previous close.
The high of the previous candle exceeds the highs of the two candles before it.
Short Entry: A short trade is triggered when:
The current close is less than the previous close.
The low of the previous candle is below the lows of the two candles before it.
Stop-Loss Placement:
For long trades, the stop-loss is set at the low of the previous candle.
For short trades, the stop-loss is set at the high of the previous candle.
Trade Management:
Trades are exited automatically if the stop-loss level is hit.
The strategy avoids re-entering trades until new breakout conditions are met.
Default Settings
Position Sizing:
The default position size is set to 1% of the account equity. This ensures proper risk management and prevents overexposure to the market.
Stop-Loss:
Stop-loss levels are automatically calculated based on the previous candle’s high or low.
Timeframes:
The strategy is versatile and works across multiple timeframes. However, it is recommended to test it on 15-minute, 1-hour, and daily charts for optimal performance.
Key Features
Automated Trade Execution:
The strategy handles both trade entry and exit automatically based on pre-defined conditions.
Built-In Risk Management:
The automatic stop-loss placement ensures losses are minimized on failed breakouts.
Works Across Markets:
The strategy is compatible with a wide range of instruments, including indices, stocks, forex, and cryptocurrencies.
Clear Signals:
Entry and exit points are straightforward and based on objective conditions, reducing ambiguity.
Versatility:
Can be used for both day trading and swing trading, depending on the chosen timeframe.
Best Practices for Using This Strategy
Backtesting:
Test the strategy on your chosen instrument and timeframe using TradingView's Strategy Tester to evaluate its performance.
Market Conditions:
The strategy performs best in trending markets or during periods of high volatility. Avoid using it in range-bound or choppy markets.
Position Sizing:
Use the default position size (1% of equity) or adjust based on your risk tolerance and account size.
Instrument Selection:
Focus on instruments with good liquidity and volatility, such as indices (e.g., NIFTY, BANKNIFTY), forex pairs, or major cryptocurrencies (e.g., Bitcoin, Ethereum).
Potential Enhancements
To make the strategy even more robust, consider adding the following optional features:
Stop-Loss Multiplier:
Allow users to customize the stop-loss distance as a multiple of the default level (e.g., 1.5x the low or high of the previous candle).
Take-Profit Levels:
Add user-defined take-profit levels, such as a fixed risk-reward ratio (e.g., 1:2).
Time Filter:
Include an option to restrict trading to specific market hours (e.g., avoid low-liquidity times).
Conclusion
The Sunil 2 Bar Breakout Strategy is an excellent tool for traders looking to capitalize on breakout opportunities while maintaining disciplined risk management. Its simplicity, combined with its effectiveness, makes it suitable for traders of all experience levels. By adhering to the clearly defined rules, traders can achieve consistent results while avoiding emotional trading decisions.
This strategy is a reliable addition to any trader’s toolbox and is designed to work seamlessly across different market conditions and instruments.
US 30 Daily Breakout Strategy The US 30 Daily Breakout Strategy (Single Trade Per Breakout/Breakdown) is a trading approach for the US 30 (Dow Jones Industrial Average) that aims to capture breakout or breakdown moves based on the previous day’s high and low levels. The strategy includes mechanisms to take only one trade per breakout (or breakdown) each day and ensures that each trade is executed only when no other trade is open.
Entry Conditions:
Long Trade (Breakout): The strategy initiates a long position if the current candle closes above the previous day's high, indicating an upward breakout. Only one breakout trade can occur per day, regardless of whether the price remains above the previous high.
Short Trade (Breakdown): The strategy initiates a short position if the current candle closes below the previous day's low, indicating a downward breakdown. Similarly, only one breakdown trade can occur per day.
Risk Management:
Take Profit and Stop Loss: Each trade has a take profit and stop loss of 50 points, aiming to cap profit and limit loss effectively for each position.
Daily Reset Mechanism:
At the start of each new day (based on New York time), the strategy resets its flags, allowing it to look for new breakout or breakdown trades. This reset ensures that only one trade can be taken per breakout or breakdown level each day.
Execution Logic
Flags for Trade Limitation: Flags (breakout_traded and breakdown_traded) are used to ensure only one breakout or breakdown trade is taken per day. These flags reset daily.
Dynamic Plotting: The previous day’s high and low are plotted on the chart, providing a visual reference for potential breakout or breakdown levels.
Overall Objective
This strategy is designed to capture single-directional daily moves by identifying significant breakouts or breakdowns beyond the previous day’s range. The fixed profit and loss limits ensure the trades are managed with controlled risk, while the daily reset feature prevents overtrading and limits each trade opportunity to one breakout and one breakdown attempt per day.
Ranges and Breakouts [AlgoAlpha]💥 Ranges and Breakouts by AlgoAlpha is a dynamic indicator designed for traders seeking to identify market ranges and capitalize on breakout opportunities. This tool automatically detects ranges based on price action over a specified period, visualizing these ranges with shaded boxes and midlines, making it easy to spot potential breakout scenarios. The indicator includes advanced features such as customizable pivot detection, internal range allowance, and automatic trend color changes for quick market analysis.
Key Features
💹 Dynamic Range Detection : Automatically identifies market ranges using customizable look-back and confirmation periods.
🎯 Breakout Alerts : Get alerted to bullish and bearish breakouts for potential trading opportunities.
📊 Visual Aids : Displays pivot highs/lows within ranges and plots midlines with adjustable styles for easier market trend interpretation.
🔔 Alerts : Signals potential take-profit points based on volatility and moving average crossovers.
🎨 Customizable Appearance : Choose between solid, dashed, or dotted lines for midlines and adjust the colors for bullish and bearish zones.
How to Use
⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings like the look-back period, confirmation length, and pivot detection to match your trading strategy.
👀 Monitor the Chart : Watch for new ranges to form, highlighted by shaded boxes on the chart. Midlines and range bounds will appear to help you gauge potential breakout points.
⚡ React to Breakouts : Pay attention to color changes and alert signals for bullish or bearish breakouts. Use these signals to enter or exit trades.
🔔 Set Alerts : Customize alert conditions for new range formations, breakout signals, and take-profit levels to stay on top of market movements without constant monitoring.
How It Works
The indicator detects price ranges by analyzing the highest and lowest prices over a specified period. It confirms a range if these levels remain unchanged for a set number of bars, at which point it visually marks the range with shaded boxes. Pivots are identified within these ranges, and a midline is plotted to help interpret potential breakouts. When price breaks out of these defined ranges, the indicator changes the chart's background color to signal a bullish or bearish trend. Alerts can be set for range formation, breakouts, and take-profit opportunities, helping traders stay proactive in volatile markets.
AI-Powered Breakout with Advanced FeaturesDescription
This script is designed to detect breakout moments in financial markets using a combination of traditional breakout detection methods and adaptive moving averages. By leveraging elements of artificial intelligence, the script provides a more dynamic and responsive approach to identifying potential entry and exit points in trading.
Usefulness
This script stands out by integrating a traditional breakout finder with an adaptive moving average component. The adaptive moving average adjusts dynamically based on the differences between fast and slow exponential moving averages (EMAs), offering a more flexible and responsive detection of support and resistance levels. This combination aims to reduce false signals and enhance the reliability of breakout detections, making it a valuable tool for traders seeking to capture market movements more effectively.
Features
1. Breakout Detection: Utilizes pivot highs and lows to identify significant breakout points over a user-defined period. This method helps in capturing the essential support and resistance levels that are critical in breakout trading.
2. AI Machine Learning Component - Adaptive Moving Average: Implements an adaptive moving average using two exponential moving averages (EMAs). adaptiveMA is dynamically adjusted based on the difference between a fast average and a slow average.
3. Buy/Sell Signals: The script generates buy and sell signals when bullish and bearish breakouts occur, respectively. These signals are visually represented on the chart, helping traders to quickly identify potential trading opportunities.
4. Visualization: Draws horizontal lines at identified breakout levels and plots shapes (arrows) on the chart to indicate buy/sell signals. This makes it easy for traders to see where significant breakout points are and where to consider entering or exiting trades.
Underlying Concepts
1. Breakout Finder Logic: The script uses pivot points (highs and lows) to detect breakout levels. It stores these pivot points in arrays and monitors them for persistence, ensuring that the detected breakouts are significant and reliable.
2. Adaptive Moving Average (AMA): The AMA is a key component that enhances the script's responsiveness. By calculating the differences between fast and slow EMAs, the AMA adapts to changing market conditions, providing a more accurate measure of trends and potential reversals.
How to Use
• Adjustable Parameters: The script includes several user-adjustable parameters:
o Lookback Length: Defines the period over which the script calculates the highest high and lowest low for breakout detection.
o Multiplier for Adaptive MA: Adjusts the sensitivity of the adaptive moving average.
o Period for Pivots: Sets the period for detecting pivot highs and lows.
o Max Breakout Length: Specifies the maximum length for breakout consideration.
o Threshold Rate: Determines the threshold rate for breakout validation.
o Minimum Number of Tests: Sets the minimum number of tests required to validate a breakout.
o Colors and Line Style: Customize the colors and line styles for breakout levels.
Interpreting Signals
o Green Arrows: Indicate a bullish breakout signal, suggesting a potential buy opportunity.
o Red Arrows: Indicate a bearish breakout signal, suggesting a potential sell opportunity.
o Horizontal Lines: Show the breakout levels, helping to visualize support and resistance areas.
By combining traditional breakout detection with advanced adaptive moving averages, this script aims to provide traders with a robust tool for identifying and capitalizing on market breakouts.
Credits
Parts of this script were inspired and adapted from the "Breakout Finder" script by LonesomeTheBlue. Significant improvements include the integration of the adaptive moving average component and enhancements to the breakout detection logic.
Timely Opening Range Breakout Strategy [TORB] (Zeiierman)█ Overview
The Timely Opening Range Breakout (TORB) indicator builds upon the classic Open Range Breakout (ORB) concept. The ORB strategy is a popular trading setup used to identify trades around the opening range of an asset. It's based on the idea that the first few minutes (15-60 minutes) of trading often set the tone for the rest of the day, with breakouts above or below the opening range signifying potential trends.
TORB refines the concept by stating that a trade is only valid if there is sufficient market activity. This means a breakout beyond the upper or lower range is only of interest during the most active trading hours, as defined by PMMV (Per-Minute Mean Volume)
█ How It Works
ORB
The indicator works by first defining a session's opening range based on user-specified settings, including the session's start and end times and the applicable time zone. During this session, it calculates the high and low price points, which form the basis for identifying potential breakout levels.
PMMV
PMMV (Per-Minute Mean Volume) provides a snapshot of the market's activity level at each minute of the trading day. PMMV is calculated by averaging the trading volume in a one-minute interval over a specified number of trading days. This script uses the average volume over the last N periods to determine the PMMV value. This average volume provides a smoother representation of volume activity compared to using a single volume value. It considers the volume over a broader timeframe, filtering out short-term fluctuations and potentially offering a more reliable indicator of underlying market activity.
TORB
TORB works by integrating the Opening Range Breakout (ORB) highs and lows with the Per-Minute Mean Volume (PMMV) metric to assess the validity of breakouts. The objective is to identify breakouts from the opening high and low levels during periods of heightened market activity, as indicated by PMMV.
█ How to Use
To effectively utilize the Timely Opening Range Breakout (TORB) strategy, follow these steps:
Identify Active Hours: Employ PMMV to pinpoint periods of peak activity within the trading day.
Apply Basic ORB Rules: If the price surpasses the upper range (resistance), buy; if it breaches the lower range (support), sell.
Breakouts
The TORB strategy identifies breakout signals when the price moves beyond the established range, supported by volume exceeding a set threshold. This technique aims to eliminate false signals, focusing on price movements during high market activity.
█ Settings
Session
Trading Session: Customize the trading session's start and end times.
Volume
Volume analysis is integral to the TORB strategy, as it uses volume data to confirm the strength and validity of breakout signals.
Period: Sets the number of periods (or bars) to calculate the average volume, which is then used to assess market activity level.
Sensitivity and Significance: Adjusts how responsive the volume analysis is to changes in trading volume. By adjusting the sensitivity, traders can decide how much emphasis to place on volume spikes, potentially reducing false breakouts and focusing on those supported by significant trading activity.
Breakout Threshold
This setting establishes a criterion to identify when the price movement is significant enough.
Threshold: Traders set a threshold level to identify high market activity. If the PMMV is greater than or equal to this threshold, it indicates significant market activity.
Setting the correct threshold is key to balancing sensitivity and specificity. Too low of a threshold may lead to many false positives, while too high of a threshold might filter out potentially profitable breakouts. This setting helps in pinpointing when market activity indicates a strong move, thereby aligning trade entries with moments of heightened market momentum.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
ORB Current TimeframePlot high and low of first candle from the current timeframe.
The levels are adjusted automatically when the timeframe is changed.
Trade breakout in either direction with other as a stop loss.
Can be used for any instrument.
Wedge Pattern [Kodexius]Wedge Pattern is a chart-overlay indicator designed to detect and manage classic Rising Wedge (bearish) and Falling Wedge (bullish) structures using strict, rules-based validation. The script focuses on producing clean, tradable wedge prints by building both boundaries from confirmed pivot swings, enforcing a mandatory “no closes outside the wedge” condition during formation, and requiring the wedge apex to be projected into the future to avoid premature or distorted patterns.
This implementation is built for practical execution charts. It continuously updates the active wedge boundaries in real time, clearly labels the pattern type, and reacts decisively when price confirms a valid breakout. When enabled, it also projects a measured-move target derived from the wedge geometry, so the trader can quickly evaluate reward potential without manual projection.
The detection logic is intentionally conservative. Rather than printing every possible converging structure, it aims to identify wedges that respect structural integrity: multiple touches on each boundary, controlled price action inside the converging range, and a valid convergence point (apex) ahead of the current bar. The result is a wedge tool that prioritizes quality, readability, and consistent behavior across symbols and timeframes.
🔹 Features
🔸 Rising and Falling Wedge Detection (Trendline Based)
The indicator detects two wedge types by constructing an upper trendline from pivot highs and a lower trendline from pivot lows:
Rising Wedge (Bearish): both lines slope upward, and the lower line rises faster than the upper line, creating a tightening upward channel that typically resolves with a downside break.
Falling Wedge (Bullish): both lines slope downward, and the upper line falls faster than the lower line, producing a tightening downward channel that typically resolves with an upside break.
This slope relationship is the core wedge classifier. It ensures the script is not just drawing random converging lines, but explicitly requires the characteristic “compression” geometry that defines wedges.
🔸 Pivot-Confirmed Structure with User Control
Wedges are built from confirmed pivots using:
Pivot Left and Pivot Right inputs to control how “strict” a pivot must be.
Min. Touches per Line to enforce multiple confirmations on each boundary.
Standard technical analysis commonly requires at least three touches to validate a trendline. This script supports that workflow by requiring a minimum number of pivot points before a wedge is eligible for drawing.
🔸 Mandatory Integrity Rule: No Closes Outside the Boundaries
A key quality filter is applied before a wedge can be accepted:
During formation, no candle close is allowed outside the upper or lower boundary.
If any close is detected above the upper line or below the lower line (with tick tolerance), the candidate wedge is rejected. This prevents patterns that already “broke” before they were formally detected and reduces false positives caused by messy price action.
🔸 Apex Validation to Avoid Distorted Prints
The wedge apex (the projected intersection point of the two trendlines) must be in the future. This avoids degenerate cases where lines intersect behind current price, which often indicates the structure is not a valid wedge or is already past its useful phase.
🔸 Live Updating Boundaries for Active Patterns
Once a wedge becomes active, its upper and lower lines are extended forward bar by bar. The script recalculates the boundary price at the current bar index using the stored slope, then updates the line endpoints so the wedge remains visually accurate as time advances.
🔸 Breakout Engine with Directional Confirmation
The script differentiates between:
Correct breakout: the wedge breaks in the expected direction.
Rising wedge breaks downward (close below the lower boundary).
Falling wedge breaks upward (close above the upper boundary).
When this happens, the wedge is marked as broken and labeled as BREAKOUT on the chart.
🔸 Invalidation and Failure Handling
If price violates the wedge in the wrong direction, or if the wedge collapses into an impossible structure (upper boundary falls below or equals the lower boundary), the wedge is flagged as FAILED. This keeps signals honest and prevents lingering drawings that no longer represent a valid pattern.
🔸 Optional Target Projection (Measured Move)
When Show Target Projection is enabled, the script plots a dashed target line and a target label after a valid breakout. The target is computed as a measured move using the wedge height, projected from the breakout boundary in the breakout direction. This provides an immediate objective reference for potential continuation.
🔸 Clean Object Management and Chart Readability
To maintain clarity, the script manages the “active” wedge per type:
If a new wedge is detected while an older one is still active and not broken or failed, the old drawings are removed and replaced with the newer valid pattern.
This prevents chart clutter and keeps the display focused on the most relevant wedge structures.
🔹 Calculations
1) Pivot Collection
The script uses pivot functions to confirm swing points:
float ph = ta.pivothigh(high, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT)
float pl = ta.pivotlow(low, INPUT_PIVOT_LEFT, INPUT_PIVOT_RIGHT)
if not na(ph)
pivot_highs.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, ph))
if not na(pl)
pivot_lows.push(Coordinate.new(bar_index - INPUT_PIVOT_RIGHT, pl))
Each pivot is stored as a Coordinate containing:
index: the bar index where the pivot is confirmed
price: the pivot high or pivot low value
The arrays are capped (for example, last 20 pivots) to control memory and keep selection relevant.
2) Trendline Construction and Slope
A wedge candidate uses the earliest and latest required pivot points for each line. For each boundary, slope is computed as:
method calc_slope(Trendline this) =>
(this.end.price - this.start.price) / (this.end.index - this.start.index)
With slope known, the trendline value at any bar index is:
method get_price_at(Trendline this, int bar_idx) =>
this.start.price + this.slope * (bar_idx - this.start.index)
This approach allows the script to update wedge boundaries consistently without re-fitting lines on every bar.
3) Wedge Type Classification (Geometry Rules)
After both slopes are calculated, wedge type is determined by slope direction and relative steepness:
Rising wedge requires both slopes positive and lower slope greater than upper slope.
Falling wedge requires both slopes negative and upper slope more negative than lower slope (upper line falls faster).
In code logic:
if tl_up.slope > 0 and tl_lo.slope > 0 and tl_lo.slope > tl_up.slope
w_type := 1 // Rising
if tl_up.slope < 0 and tl_lo.slope < 0 and tl_up.slope < tl_lo.slope
w_type := 2 // Falling
This enforces converging boundaries and avoids simple parallel channels.
4) Apex Projection (Trendline Intersection)
The apex is the projected intersection x-coordinate of the two trendlines:
method get_apex_index(Wedge this) =>
float m1 = this.upper.slope
float m2 = this.lower.slope
float y1 = this.upper.start.price
float y2 = this.lower.start.price
int x1 = this.upper.start.index
int x2 = this.lower.start.index
float apex_x = (y2 - y1 + m1 * x1 - m2 * x2) / (m1 - m2)
math.round(apex_x)
Validation requires:
apex_idx > bar_index (apex must be in the future)
This prevents late or structurally invalid wedges from being activated.
5) Mandatory “No Close Outside” Validation
Before activation, the script verifies the pattern has not been violated by candle closes:
method check_violation(Wedge this, int from_idx, int to_idx) =>
bool violated = false
for i = from_idx to to_idx
float up_p = this.upper.get_price_at(i)
float lo_p = this.lower.get_price_at(i)
float c_p = close
if c_p > up_p + syminfo.mintick or c_p < lo_p - syminfo.mintick
violated := true
break
violated
Interpretation:
For every bar from wedge start to current bar, the close must remain between the projected upper and lower boundary prices.
A tick tolerance (syminfo.mintick) is used to reduce micro false violations.
6) Live Update and Breakout Detection
Once active, lines are extended to the current bar and boundary prices are computed:
float u_p = w.upper.get_price_at(bar_index)
float l_p = w.lower.get_price_at(bar_index)
bool b_up = close > u_p
bool b_dn = close < l_p
Correct breakout conditions:
Rising wedge breakout: close below lower boundary.
Falling wedge breakout: close above upper boundary.
if (w.is_rising and b_dn) or (not w.is_rising and b_up)
w.is_broken := true
Invalidation rules include:
wrong-direction break
boundary crossover (upper <= lower)
7) Target Projection (Measured Move)
If target display is enabled, the script calculates wedge height and projects a target from the breakout side:
float m = math.abs(w.upper.start.price - w.lower.get_price_at(w.upper.start.index))
float t = w.is_rising ? l_p - m : u_p + m
Interpretation:
m represents the wedge height near the start of the formation.
t is the target price, projected in the breakout direction.
Rising wedge: target below the lower boundary.
Falling wedge: target above the upper boundary.
A dashed target line and label are then placed forward in time for readability.
Low Volatility Breakout in Trend
█ OVERVIEW
"Low Volatility Breakout in Trend" is a technical analysis tool that identifies periods of low-volatility consolidation within an ongoing trend and signals potential breakouts aligned with the trend's direction. The indicator detects trends using a simple moving average (SMA) of price, identifies consolidation zones based on the size of candle bodies, and displays the percentage change in volume (volume delta) at the breakout moment.
█ CONCEPTS
The core idea of the indicator is to pinpoint moments where traders can join an ongoing trend by capitalizing on breakouts from consolidation zones, supported by additional information such as volume delta. It provides clear visualizations of trends, consolidation zones, and breakout signals to facilitate trading decisions.
Why Use It?
* Breakout Identification: The indicator locates low-volatility consolidation zones (measured by the size of individual candle bodies, not the price range of the consolidation) and signals breakouts, enabling traders to join the trend at key moments.
* Volume Analysis: Displays the percentage change in volume (delta) relative to its simple moving average, providing insight into market activity rather than acting as a signal filter.
* Visual Clarity: Colored trend lines, consolidation boxes (drawn only after the breakout candle closes, not on subsequent candles), and volume delta labels enable quick chart analysis.
* Flexibility: Adjustable parameters, such as the volatility window length or SMA period, allow customization for various trading strategies and markets.
How It Works
* Trend Detection: The indicator calculates a simple moving average (SMA) of price (default: based on the midpoint of high/low) and creates dynamic trend bands, offset by a percentage of the average candle height (band scaling). A price above the upper band signals an uptrend, while a price below the lower band indicates a downtrend. Trend changes occur not when the price crosses the SMA but when it crosses above the upper band or below the lower band (offset by the average candle height multiplied by the scaling factor).
* Consolidation Identification: Identifies low-volatility zones when the candle body size is smaller than the average body size over a specified period (default: 20 candles) multiplied by a volatility threshold — the maximum allowable body size as a percentage of the average body (e.g., 2 means the candle body must be less than twice the average body to be considered low-volatility).
* Breakout Signals: A breakout occurs when the candle body exceeds the volatility threshold, is larger than the maximum body in the consolidation, and aligns with the trend direction (bullish in an uptrend, bearish in a downtrend).
* Visualization: Draws a trend line with a gradient, consolidation boxes (appearing only after the breakout candle closes, marking the consolidation zone), and volume delta labels. Optionally displays breakout signal arrows.
* Signals and Alerts: The indicator generates signals for bullish and bearish breakouts, including the volume delta percentage. Alerts are an additional feature that can be enabled for notifications.
Settings and Customization
* Volatility Window: Length of the period for calculating the average candle body size (default: 20).
* Volatility Threshold: Maximum candle body size as a percentage of the average body (default: 2).
* Minimum Consolidation Bars: Number of candles required for a consolidation (default: 10).
* SMA Length for Trend: Period of the SMA for trend detection (default: 100).
* Band Scaling: Offset of trend bands as a percentage of the average candle height (default: 250%), determining the distance from the SMA.
* Visualization Options: Enable/disable consolidation boxes (Show Consolidation Boxes, drawn after the breakout candle closes), volume delta labels (Show Volume Delta Labels), and breakout signals (Show Breakout Signals, e.g., triangles).
* Colors: Customize colors for the trend line, consolidation boxes, and volume delta labels.
█ OTHER SECTIONS
Usage Examples
* Joining an Uptrend: When the price breaks out of a consolidation in an uptrend with a volume delta of +50%, open a long position; the signal is stronger if the breakout candle surpasses a local high.
* Avoiding False Breakouts: Ignore breakout signals with low volume delta (e.g., below 0%) and combine the indicator with other tools (e.g., support/resistance levels or oscillators) to confirm moves in low-activity zones.
Notes for Users
* On markets that do not provide volume data, the indicator will not display volume delta — disable volume labels and enable breakout signals (e.g., triangles) instead.
* Adjust parameters to suit the market's characteristics to minimize noise.
* Combine with other tools, such as Fibonacci levels or oscillators, for greater precision.
Angle Market Structure [BigBeluga]🔵 OVERVIEW
Angle Market Structure is a smart pivot-based tool that dynamically adapts to price action by accelerating breakout and breakdown detection. It draws market structure levels based on pivot highs/lows and gradually adjusts those levels closer to price using an angle threshold. Upon breakout, the indicator projects deviation zones with labeled levels (+1, +2, +3 or −1, −2, −3) to track price extension beyond structure.
🔵 CONCEPTS
Adaptive Market Structure: Uses pivots to define structure levels, which dynamically angle closer to price over time to capture breakouts sooner.
Breakout Acceleration: Pivot high levels decrease and pivot low levels increase each bar using a user-defined angle (based on ATR), improving reactivity.
Deviation Zones: Once a breakout or breakdown occurs, 3 deviation levels are projected to show how far price extends beyond the breakout point.
Count Labels: Each successful structure break is numbered sequentially, giving traders insight into momentum and trend persistence.
Visual Clarity: The script uses colored pivot points, trend lines, and extension labels for easy structural interpretation.
🔵 FEATURES
Calculates pivot highs and lows using a customizable length.
Applies an angle modifier (ATR-based) to gradually pull levels closer to price.
Plots breakout and breakdown lines in distinct colors with automatic extension.
Shows deviation zones (+1, +2, +3 or −1, −2, −3) after breakout with customizable size.
Color-coded labels for trend break count (bullish or bearish).
Dynamic label sizing and theme-aware colors.
Smart label positioning to avoid chart clutter.
Built-in limit for deviation zones to maintain clarity and performance.
🔵 HOW TO USE
Use pivot-based market structure to identify breakout and breakdown zones.
Watch for crossover (up) or crossunder (down) events as trend continuation or reversal signals.
Observe +1/+2/+3 or -1/-2/-3 levels for overextension opportunities or trailing stop ideas.
Use breakout count as a proxy for trend strength—multiple counts suggest momentum.
Combine with volume or order flow tools for higher confidence entries at breakout points.
Adjust the angle setting to fine-tune sensitivity based on market volatility.
🔵 CONCLUSION
Angle Market Structure enhances traditional pivot-based analysis by introducing breakout acceleration and structured deviation tracking. It’s a powerful tool for traders seeking a cleaner, faster read on market structure and momentum strength—especially during impulsive price moves or structural transitions.
True Breakout Pattern [TradingFinder] Breakout Signal Indicator🔵 Introduction
In many market conditions, what initially appears to be a decisive breakout often turns out to be nothing more than a false breakout or fake breakout. Price breaks through a key swing level or an important support and resistance zone, only to quickly return to its previous range.
These failed breakouts, which are often the result of liquidity traps or market manipulation, serve more as a warning sign of structural weakness than confirmation of a new trend.
This indicator is designed around the concept of the fake breakout.
The logic is simple but precise : when price breaks a swing level and returns to that level within a maximum of five candles, the move is considered a false breakout. At this point, a Fibonacci retracement is applied to the recent price swing to evaluate the pullback area.
If price, within ten candles after the return to the breakout level, enters the Fibonacci zone between 0.618 and 1.0, the setup becomes valid for a potential entry. This area is identified as a long entry zone, with the stop loss placed just beyond the 1.0 level and the take profit defined based on the desired risk-to-reward ratio.
By combining accurate detection of false breakouts, analysis of price reaction to swing levels, and alignment with Fibonacci retracement logic, this framework allows traders to identify opportunities often missed by others. In a market where failed breakouts are a common and recurring phenomenon, this indicator aims to transform these traps into measurable trading opportunities.
Long Setup :
Short Setup :
🔵 How to Use
This indicator operates based on the recognition of false breakouts from structural levels in the market, specifically swing levels, and combines that with Fibonacci retracement analysis.
In this strategy, trades are only considered when price returns to the broken level within a defined time window and reacts appropriately inside a predefined Fibonacci range. Depending on the direction of the initial breakout, the system outlines two scenarios for long and short setups.
🟣 Long Setup
In the long setup, price initially breaks below a support level or swing low. If the price returns to the broken level within a maximum of five candles, the move is identified as a fake breakout.
At this stage, a Fibonacci retracement is drawn from the recent high to the low. If price, within ten candles of returning to the level, moves into the 0.618 to 1.0 Fibonacci zone, the conditions for a long entry are met.
The stop loss is placed slightly below the 1.0 level, while the take profit is set based on the trader’s preferred risk-reward ratio. This setup aims to capture deeply discounted entries at low risk, aligned with smart money reversals.
🟣 Short Setup
In the short setup, the price breaks above a resistance level or swing high. If the price returns to that level within five candles, the move is again treated as a false breakout. Fibonacci is then drawn from the recent low to the high to observe the retracement area.
Should price enter the 0.618 to 1.0 Fibonacci range within ten candles of returning, a short entry is considered valid. In this case, the stop loss is placed just above the 1.0 level, and the take profit is adjusted based on the intended risk-reward target. This method allows traders to identify high-probability short setups by focusing on failed breakouts and deep pullbacks.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Valid After Trigger Bars : Limits how many candles after a fake breakout the entry zone remains valid.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 Alert Settings
Alert False Breakout : Enables alerts for Breakout.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
A sound understanding of the false breakout phenomenon and its relationship to structural price behavior is essential for technical traders aiming to improve precision and consistency. Many poor trading decisions stem from misinterpreting failed breakouts and entering too early into weak signals.
A structured approach, grounded in the analysis of swing levels and validated through specific price action and timing rules, can turn these misleading moves into valuable trade opportunities.
This indicator, by combining fake breakout detection with time filters and Fibonacci-based retracement zones, helps traders only engage with the market when multiple confirming factors are in alignment. The result is a strategy that emphasizes probability, risk control, and clarity in decision-making, offering a solid edge in navigating today’s volatile markets.
Open Range Breakout (ORB) with Alerts
🚀 ChartsAlgo – Open Range Breakout (ORB) with Alerts
The Open Range Breakout (ORB) Indicator by ChartsAlg is designed for intraday traders looking to capitalize on price movements after the market’s opening range. This tool is especially effective for futures (MNQ, MES) and high-volatility stocks or crypto where initial volatility sets the tone for the session.
This indicator identifies a user-defined opening range window, plots the high/low lines of that range, and visually alerts users when price breaks out above or below the range — with options to customize breakout repetitions, background fill, and alerts.
💡 What is an Open Range Breakout (ORB)?
The opening range represents the high and low established during the first few minutes of the trading session — usually 15 or 30 minutes. Many intraday strategies are based on the idea that breaking out of this initial range often signals strong momentum and trend continuation.
Traders often enter:
Long when price breaks above the range high.
Short when price breaks below the range low.
⚙️ How It Works
You define a session window (e.g., 09:30–09:45 EST).
The indicator tracks the high and low during this time.
Once the session ends, the high and low become your range breakout levels.
The indicator then:
Plots lines for visual clarity
Optionally fills background between the range
Triggers breakout signals if price crosses the levels
Provides alerts when breakouts occur
🛠️ Settings Breakdown
🔹 Session Settings
Range Session: Set your preferred window (e.g., 0930–0945). Can be premarket, first 30 mins, or any custom time.
Time zone: Use "America/New York" for EST (default) or change to "GMT+0" for international traders.
🔹 Breakout Settings
Bullish Breakout Signals: Number of allowed breakout alerts above the range.
Bearish Breakout Signals: Number of allowed breakout alerts below the range.
This prevents repeated alerts once breakout has been confirmed.
🔹 Display Settings
Show Background Fill: Fills area between high/low of the range for easier visual analysis.
Show Breakout Signals: Triangle markers plotted on the chart when breakouts happen.
Only Show Today’s Range: Keeps the chart clean by showing only the most current day’s range.
🔹 Color Settings
Range High/Low Line Colors: Choose any color for clarity.
Range Fill Color: Customize the highlight area for your chart style.
📊 Chart Features
Range High/Low Lines: Automatically plotted after range session ends.
Visual Fill Box: Optional background shading between the opening range.
Triangle Breakout Markers: Appear at the breakout candle.
Alerts: Can be used with TradingView’s alert system to notify you of breakouts in real-time.
🔔 Alerts
Two alert conditions are built in:
Bullish Breakout: Triggers when price breaks above the high of the range.
Bearish Breakout: Triggers when price breaks below the low of the range.
Example Alert Message:
📈 “Bullish Breakout above Open Range on AAPL!”
To activate:
Click “🔔 Alerts” on TradingView.
Set condition to this script.
Choose “ORB Breakout Up” or “ORB Breakout Down”.
Choose alert frequency and notification method.
⚠️ DISCLAIMER
ChartsAlgo tools are for informational and educational purposes only.
They are not financial advice or signals. Past performance does not guarantee future results. Use at your own risk and always implement solid risk management.
By using this indicator, you agree that you are solely responsible for any trades or decisions made based on the information provided.
Long-Leg Doji Breakout StrategyThe Long-Leg Doji Breakout Strategy is a sophisticated technical analysis approach that capitalizes on market psychology and price action patterns.
Core Concept: The strategy identifies Long-Leg Doji candlestick patterns, which represent periods of extreme market indecision where buyers and sellers are in equilibrium. These patterns often precede significant price movements as the market resolves this indecision.
Pattern Recognition: The algorithm uses strict mathematical criteria to identify authentic Long-Leg Doji patterns. It requires the candle body to be extremely small (≤0.1% of the total range) while having long wicks on both sides (at least 2x the body size). An ATR filter ensures the pattern is significant relative to recent volatility.
Trading Logic: Once a Long-Leg Doji is identified, the strategy enters a "waiting mode," monitoring for a breakout above the doji's high (long signal) or below its low (short signal). This confirmation approach reduces false signals by ensuring the market has chosen a direction.
Risk Management: The strategy allocates 10% of equity per trade and uses a simple moving average crossover for exits. Visual indicators help traders understand the pattern identification and trade execution process.
Psychological Foundation: The strategy exploits the natural market cycle where uncertainty (represented by the doji) gives way to conviction (the breakout), creating high-probability trading opportunities.
The strength of this approach lies in its ability to identify moments when market sentiment shifts from confusion to clarity, providing traders with well-defined entry and exit points while maintaining proper risk management protocols.
How It Works
The strategy operates on a simple yet powerful principle: identify periods of market indecision, then trade the subsequent breakout when the market chooses direction.
Step 1: Pattern Detection
The algorithm scans for Long-Leg Doji candles, which have three key characteristics:
Tiny body (open and close prices nearly equal)
Long upper wick (significant rejection of higher prices)
Long lower wick (significant rejection of lower prices)
Step 2: Confirmation Wait
Once a doji is detected, the strategy doesn't immediately trade. Instead, it marks the high and low of that candle and waits for a definitive breakout.
Step 3: Trade Execution
Long Entry: When price closes above the doji's high
Short Entry: When price closes below the doji's low
Step 4: Exit Strategy
Positions are closed when price crosses back through a 20-period moving average, indicating potential trend reversal.
Market Psychology Behind It
A Long-Leg Doji represents a battlefield between bulls and bears that ends in a stalemate. The long wicks show that both sides tried to push price in their favor but failed. This creates a coiled spring effect - when one side finally gains control, the move can be explosive as trapped traders rush to exit and momentum traders jump aboard.
Key Parameters
Doji Body Threshold (0.1%): Ensures the body is truly small relative to the candle's range
Wick Ratio (2.0): Both wicks must be at least twice the body size
ATR Filter: Uses Average True Range to ensure the pattern is significant in current market conditions
Position Size: 10% of equity per trade for balanced risk management
Pros:
High Probability Setups: Doji patterns at key levels often lead to significant moves as they represent genuine shifts in market sentiment.
Clear Rules: Objective criteria for entry and exit eliminate emotional decision-making and provide consistent execution.
Risk Management: Built-in position sizing and exit rules help protect capital during losing trades.
Market Neutral: Works equally well for long and short positions, adapting to market direction rather than fighting it.
Visual Confirmation: The strategy provides clear visual cues, making it easy to understand when patterns are forming and trades are triggered.
Cons:
False Breakouts: In choppy or ranging markets, price may break the doji levels only to quickly reverse, creating whipsaws.
Patience Required: Traders must wait for both pattern formation and breakout confirmation, which can test discipline during active market periods.
Simple Exit Logic: The moving average exit may be too simplistic, potentially cutting profits short during strong trends or holding losers too long during reversals.
Volatility Dependent: The strategy relies on sufficient volatility to create meaningful doji patterns - it may underperform in extremely quiet markets.
Lagging Entries: Waiting for breakout confirmation means missing the very beginning of moves, reducing potential profit margins.
Best Market Conditions
The strategy performs optimally during periods of moderate volatility when markets are making genuine directional decisions rather than just random noise. It works particularly well around key support/resistance levels where the market's indecision is most meaningful.
Optimization Considerations
Consider combining with additional confluence factors like volume analysis, support/resistance levels, or other technical indicators to improve signal quality. The exit strategy could also be enhanced with trailing stops or multiple profit targets to better capture extended moves while protecting gains.
Best for Index option,
Enjoy !!
RSI Strength & Consolidation Zones (Zeiierman)█ Overview
RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending — it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement.
Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities.
█ Its uniqueness
Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they won’t tell you how strong that condition is, or whether it’s likely to result in continuation or consolidation.
This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move.
█ How It Works
⚪ Enhanced RSI
Combines traditional RSI and a custom RSI implementation
Smooths both through a Kalman filter for trend direction
Final RSI line reflects smoothed consensus between manual and built-in RSI
Adds an RSI + Strength overlay to show when the directional conviction is increasing
⚪ ADX-Driven Strength Layer
Directional Movement Index (DMI) is calculated both manually and with built-in smoothing
The average ADX value is used to calculate a strength modifier
When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force
Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions
⚪ Consolidation Zone Detection
When ADX falls below 20, the indicator enters a consolidation zone state
Boxes are drawn dynamically to contain the price within these low-volatility structures
Once the price breaks out of the zone, the indicator plots a breakout signal (▲ or ▼)
⚪ Breakouts
Breakout markers are placed at the first close outside the consolidation box
These signals serve as early indicators for potential trend continuation or reversal
█ How to Use
⚪ Confirm Momentum Strength
Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation.
⚪ Consolidations Zones
When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout.
⚪ Use Breakout Signals for Entry
Look for ▲ or ▼ markers as early triggers. These often coincide with volume expansions or structural breaks.
█ Settings Explained
RSI Length – Number of bars used for RSI. Shorter = more sensitive.
DMI Length – Used in both custom and built-in ADX/DI calculations.
ADX Smoothing – Smooths the trend strength signal. Higher values = smoother strength detection.
Trend Confirmation (Filter Strength) – Adjusts the responsiveness of the Kalman filter.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
hector mena Breakout Trading with ATR, RSI and MA CrossTitle: Breakout Trading Strategy with ATR, RSI, and Moving Average Cross
Description (English):
This script combines key technical indicators—ATR (Average True Range), RSI (Relative Strength Index), and Moving Averages—to provide a comprehensive breakout trading strategy. It is designed to help traders identify significant breakout levels and confirm signals with momentum and trend analysis.
How It Works:
ATR for Breakout Levels:
The ATR is used to calculate dynamic breakout levels by adjusting the highest resistance and lowest support levels with a customizable multiplier. This ensures that breakout levels adapt to market volatility.
RSI for Momentum Confirmation:
The RSI identifies overbought and oversold conditions, providing an additional layer of confirmation for breakouts. A breakout accompanied by an RSI signal can indicate stronger momentum.
Moving Average Cross for Trend Validation:
Two simple moving averages (short-term and long-term) are included to validate the trend. A crossover suggests a potential change in trend, aligning with breakout signals.
Why Combine These Indicators?
The ATR ensures breakout levels are realistic and volatility-adjusted.
The RSI avoids false signals by confirming if the price has momentum during a breakout.
Moving Average crossovers add trend-following confirmation, helping traders align with market direction.
The combination provides a robust framework to filter out false signals and improve the reliability of trading decisions.
Key Features:
Breakout Levels: Upper and lower breakout levels dynamically calculated using ATR.
RSI Confirmation: Visual overbought (70) and oversold (30) levels and RSI plot.
Trend Validation: Short and long-term moving averages plotted on the chart with crossover signals.
Visual Alerts: Clear "BUY" and "SELL" labels for actionable signals.
Custom Alerts: Configurable alerts for breakouts and moving average crossovers.
How to Use It:
Adjust the parameters (ATR length, multiplier, RSI length, and moving averages) based on your trading strategy.
Look for "BUY" signals when:
Price breaks above the resistance level, and RSI indicates oversold conditions.
Moving averages cross bullishly.
Look for "SELL" signals when:
Price breaks below the support level, and RSI indicates overbought conditions.
Moving averages cross bearishly.
Use alerts for automated notifications about potential trades.
Notes:
This script is intended for educational purposes. Use it alongside proper risk management techniques and backtesting.
Always test in demo mode before applying it to live trading.
High/Low Breakout Statistical Analysis StrategyThis Pine Script strategy is designed to assist in the statistical analysis of breakout systems on a monthly, weekly, or daily timeframe. It allows the user to select whether to open a long or short position when the price breaks above or below the respective high or low for the chosen timeframe. The user can also define the holding period for each position in terms of bars.
Core Functionality:
Breakout Logic:
The strategy triggers trades based on price crossing over (for long positions) or crossing under (for short positions) the high or low of the selected period (daily, weekly, or monthly).
Timeframe Selection:
A dropdown menu enables the user to switch between the desired timeframe (monthly, weekly, or daily).
Trade Direction:
Another dropdown allows the user to select the type of trade (long or short) depending on whether the breakout occurs at the high or low of the timeframe.
Holding Period:
Once a trade is opened, it is automatically closed after a user-defined number of bars, making it useful for analyzing how breakout signals perform over short-term periods.
This strategy is intended exclusively for research and statistical purposes rather than real-time trading, helping users to assess the behavior of breakouts over different timeframes.
Relevance of Breakout Systems:
Breakout trading systems, where trades are executed when the price moves beyond a significant price level such as the high or low of a given period, have been extensively studied in financial literature for their potential predictive power.
Momentum and Trend Following:
Breakout strategies are a form of momentum-based trading, exploiting the tendency of prices to continue moving in the direction of a strong initial movement after breaching a critical support or resistance level. According to academic research, momentum strategies, including breakouts, can produce returns above average market returns when applied consistently. For example, Jegadeesh and Titman (1993) demonstrated that stocks that performed well in the past 3-12 months continued to outperform in the subsequent months, suggesting that price continuation patterns, like breakouts, hold value .
Market Efficiency Hypothesis:
While the Efficient Market Hypothesis (EMH) posits that markets are generally efficient, and it is difficult to outperform the market through technical strategies, some studies show that in less liquid markets or during specific times of market stress, breakout systems can capitalize on temporary inefficiencies. Taylor (2005) and other researchers have found instances where breakout systems can outperform the market under certain conditions.
Volatility and Breakouts:
Breakouts are often linked to periods of increased volatility, which can generate trading opportunities. Coval and Shumway (2001) found that periods of heightened volatility can make breakouts more significant, increasing the likelihood that price trends will follow the breakout direction. This correlation between volatility and breakout reliability makes it essential to study breakouts across different timeframes to assess their potential profitability .
In summary, this breakout strategy offers an empirical way to study price behavior around key support and resistance levels. It is useful for researchers and traders aiming to statistically evaluate the effectiveness and consistency of breakout signals across different timeframes, contributing to broader research on momentum and market behavior.
References:
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. Journal of Finance, 48(1), 65-91.
Fama, E. F., & French, K. R. (1996). Multifactor Explanations of Asset Pricing Anomalies. Journal of Finance, 51(1), 55-84.
Taylor, S. J. (2005). Asset Price Dynamics, Volatility, and Prediction. Princeton University Press.
Coval, J. D., & Shumway, T. (2001). Expected Option Returns. Journal of Finance, 56(3), 983-1009.
Swing Points [CrossTrade]The "Swing Points" indicator is designed to help identify key swing points, trends, and potential support and resistance areas on a trading chart. This indicator overlays on the price chart and offers several features for enhanced market analysis.
Swing Point Identification: The indicator identifies swing highs and lows (pivot points) over a user-defined period. These points are crucial in understanding market reversals and momentum.
Swing Points Display: Users have the option to visually display these pivot points on the chart. Swing highs are marked with a red "H" above the bar, and swing lows with a green "L" below the bar, aiding in quick visual identification.
Center Line Calculation and Display: A dynamic center line is calculated using the pivot points, providing a baseline that adapts to market movements. The center line's appearance changes based on its position relative to the current price, making it a useful trend indicator.
Support and Resistance Levels: The indicator plots horizontal support and resistance lines based on the swing lows and highs, respectively. This feature helps traders identify potential areas of price consolidation or breakout.
Customization Options: Users can customize the period for swing point calculation and choose whether to display the pivot points, center line, and support/resistance levels.
Alert Features
Swing High Break Alert: An alert is triggered when a new swing high is detected, signaling a potential upward momentum shift.
Swing Low Break Alert: This alert activates when a new swing low is formed, possibly indicating a downward momentum shift.
Center Line Trend Color Change Alert: Alerts users when the center line changes its trend color, which could signify a change in overall market trend direction.
Range Finder [UAlgo]🔶 Description:
The "Range Finder " indicator aims at identifying and visualizing price ranges within a specified number of candles. By utilizing the Average True Range (ATR) indicator and Simple Moving Average (SMA), it detects potential breakout conditions and tracks consecutive candles that remain within the breakout range. This indicator offers flexibility by allowing users to customize settings such as range length, method for determining range breaks (based on either candle close or wick), and visualization options for displaying range breaks on the chart.
🔶 Key Features
Identifying Ranges: The Range Finder automatically adapts to the market by continuously evaluating the Average True Range (ATR) and its Simple Moving Average (SMA). This helps in dynamically adjusting the range based on market volatility.
Range Length: Users can specify the number of candles to be used for constructing the range via the "Range Length" input setting. This allows for customization based on trading strategies and preferences.
Range Break Method: The indicator offers the flexibility to choose between two methods for identifying range breaks. Users can select between "Close" or "Wick" based on their preference for using the closing price or the highs and lows (including wicks) of candles for defining the breakout.
Show Range Breaks: This option enables visual representation of range breaks on the chart. When activated, labels with the letter "B" will appear at the breakout point, colored according to the breakout direction (upward breakouts in the chosen up range color and downward breakouts in the chosen down range color).
Range Color Customization: The indicator provides the ability to personalize the visual appearance of the range by selecting preferred colors for ranges indicating potential upward and downward breakouts.
🔶 Disclaimer
It's important to understand that the Range Finder indicator is intended for informational purposes only and should not be solely relied upon for making trading decisions. Trading financial instruments involves inherent risks, and past performance is not necessarily indicative of future results.
Multi Time Frame Candles with Volume Info / 3DHello Traders,
This is my second Multi Time Frame Candles script but with this new one, you will have some new features such volume info, remaining time to close of higher time frame candle and also developed using new features of Pine such array of lines. also I tried to make it 3D for better visualization ;) also it shows new highs/lows / breakouts.
I tried to make many things optional, so you can change almost everything using options.
What you can change using options:
- Higher time frame
- Number of Candles
- Candle Colors Up/Down
- Wick Color
- Volume colors Up/Down
- Text color of Remaining Time
- Shadow Color
- Background color
- Start bar of the candles (so you can see many higher times frame candles in same window)
- 3D effect, by default it's enables but you can disable 3D view
Lets see some examples:
Remaining time:
Breakouts:
You can combine different higher time frames:
if you don't want 3D view then combining different higher time frames:
You can change background color:
Enjoy!
RSI Breakout Zones█ OVERVIEW
“RSI Breakout Zones” is a technical analysis tool that identifies significant zones on the chart based on the Relative Strength Index (RSI). The indicator maps overbought (OB) and oversold (OS) zones using boxes, then extends them until the next zone of the same type is detected, highlighting breakout points to aid in trade entry decisions. These zones often serve as areas of consolidation, support, or resistance.
█ CONCEPTS
The indicator identifies overbought (above 70) and oversold (below 30) zones, drawing boxes that extend until the next zone of the same type (OB for OB, OS for OS) is detected. Breakout signals are generated when the price crosses the zone boundaries, indicating potential shifts in market momentum.
Why are RSI zones important? These zones represent areas of extreme market sentiment, often leading to corrections or reversals. Overbought zones suggest potential selling pressure, while oversold zones indicate buying opportunities. After a breakout, a zone may switch roles, e.g., from support to resistance or vice versa, making it a key element in price action analysis. Larger zones, formed during high volatility, may attract price for retests due to stronger imbalances in buyer/seller dynamics. Consolidation often occurs within these zones as the market seeks equilibrium before further moves. However, in strong trends, zones may be decisively broken without immediate pullbacks, and their significance depends on their position relative to key support and resistance levels.
█ FEATURES
- RSI Zone Detection: Calculates RSI with a customizable length (default 14) and identifies overbought/oversold zones based on user-defined levels (default 70/30), drawing boxes that dynamically adjust to price action within the zone.
- Customizable Boxes: Zones extend until the next zone of the same type is detected. The indicator draws zones with adjustable colors for overbought (red) and oversold (green) areas, with options for box and zone transparency.
- Breakout Signals: Generates upward (green triangle) and downward (red triangle) breakout signals when the price crosses the top or bottom of a zone. Signals appear below or above the bar, indicating potential trade entry points.
- Midline: Automatically draws a dashed line at the midpoint of each zone, helping traders assess price behavior within the zone and potential halfway retests.
- Box Management: Option to remove outdated boxes.
- Alerts: Built-in support for alerts on breakout signals, enabling traders to receive notifications for key zone crossings.
█ HOW TO USE
Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu.
Configure Settings:
- RSI Settings: Adjust RSI Length (default 14), Overbought Level (default 70), and Oversold Level (default 30) to tailor zone detection sensitivity—higher lengths smooth signals for longer-term analysis.
- Box Settings: Configure colors and transparency for overbought (red) and oversold (green) zones, including box transparency (default 90) and zone transparency (default 90).
- Signal Settings: Customize breakout signal colors (green for upward, red for downward) and enable/disable keeping boxes after RSI normalization.
Interpreting Signals:
- Upward Breakout Signal: A green triangle below the bar indicates a breakout, suggesting potential bullish momentum and trend continuation or reversal.
- Downward Breakout Signal: A red triangle above the bar indicates a breakout, suggesting potential bearish momentum.
- RSI Zones: If the price re-enters a zone after a breakout, it may signal a false breakout or consolidation; persistent zones can act as future support/resistance levels. Consolidation often occurs within these zones as the market seeks equilibrium.
- Use signals alongside other technical analysis tools for confirmation, such as moving averages (to confirm trend direction), Fibonacci levels (to identify key price zones), or volume indicators (to validate breakout strength). Analyze RSI zones on higher timeframes for stronger signals due to broader market context.
█ APPLICATIONS
- Momentum Trading: Use RSI zones as overbought/oversold filters. In an uptrend, look for buying opportunities on upward breakouts, and in a downtrend, on downward breakouts. Combining with MACD crossovers, Fibonacci levels, or pivot points enhances zone significance.
- Inter-Zone Trading: Utilize breakouts from one RSI zone and hold the position until reaching the next zone, which may act as a target level or reversal point.
█ NOTES
- Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize RSI length and levels for your trading style.
- For best results, use in trending markets where RSI extremes are more predictive; in ranging markets, additional filters are recommended to reduce false signals.
- Always combine with risk management; RSI zones alone do not guarantee reversals, and false breakouts may occur in low-liquidity environments.
Yon Hybrid Momentum + Breakout Scanner with BB SqueezeThis Pine Script indicator is a comprehensive momentum and breakout scanner that combines multiple technical analysis tools to identify high-probability trading setups. Here's what it does:
Core Features:
1. Trend Identification (EMA System)
Uses two EMAs (9-period fast, 20-period slow) to determine trend direction
Colors the chart background: teal = uptrend, red = downtrend
An uptrend is confirmed when the fast EMA crosses above the slow EMA
2. Volume Analysis
Monitors volume spikes (when current volume exceeds 2x the 20-period average)
Volume spikes often indicate strong institutional interest or breakout momentum
Critical for confirming the validity of price movements
3. Momentum Indicators
MACD (12, 26, 9): Shows bullish/bearish crossovers with triangle markers
RSI (7-period): Identifies overbought (>70) and oversold (<30) conditions
VWAP: Shows the volume-weighted average price (purple line) - helps identify whether price is trading at fair value
4. Bollinger Bands & Squeeze Detection
Displays Bollinger Bands (20-period, 2 standard deviations)
BB Squeeze: Detects when volatility contracts to its lowest level in 20 bars
Squeezes often precede explosive breakout moves (like a coiled spring)
Orange squares appear at the bottom when a squeeze is detected
5. Breakout Detection
The script identifies breakouts using TWO methods:
Price breakout: Close above the recent 20-bar high
BB breakout: Close above the upper Bollinger Band
Confirmed breakout: Must have uptrend + volume spike + one of the above conditions
Shows a green "BREAKOUT" label when all conditions align
6. Live Status Label
A label in the top-right displays real-time market conditions:
Current trend (UPTREND/DOWNTREND)
Volume status (VOL SPIKE/Normal Vol)
RSI condition (HOT/COOL/Neutral)
Squeeze status (if active)
7. Alerts
Two automated alerts:
Breakout Alert: Triggers when a confirmed breakout occurs
Squeeze Alert: Triggers when Bollinger Bands enter a squeeze
Trading Use Cases:
This indicator is ideal for:
Swing traders looking for momentum setups with strong volume confirmation
Breakout traders who want to catch explosive moves after consolidation
Day traders monitoring multiple timeframes for high-probability entries
Watchlist scanning to quickly identify which stocks/cryptos are showing momentum
How to Use It:
Setup Phase: Look for BB squeeze markers (orange squares) - these signal compression
Confirmation: Wait for volume spike + uptrend + MACD bullish crossover
Entry: When "BREAKOUT" label appears with all confirmations
Validation: Price should be above VWAP and RSI not extremely overbought
The script essentially automates the process of finding stocks that are "coiling up" and ready to make a big move, then confirms when that move actually happens with volume.
BBMA Enhanced Pro - Multi-Timeframe Band Breakout StrategyShort Title : BBMA Pro
Overview
The BBMA Enhanced Pro is a professional-grade trading indicator that builds on the Bollinger Bands Moving Average (BBMA) strategy, pioneered by Omar Ali , a Malaysian forex trader and educator. Combining Bollinger Bands with Weighted Moving Averages (WMA) , this indicator identifies high-probability breakout and reversal opportunities across multiple timeframes. With advanced features like multi-timeframe Extreme signal detection, eight professional visual themes, and a dual-mode dashboard, it’s designed for traders seeking precision in trending and consolidating markets. Optimized for dark chart backgrounds, it’s ideal for forex, stocks, and crypto trading.
History
The BBMA strategy was developed by Omar Ali (BBMA Oma Ally) in the early 2010s, gaining popularity in the forex trading community, particularly in Southeast Asia. Building on John Bollinger’s Bollinger Bands, Omar Ali integrated Weighted Moving Averages and a multi-timeframe approach to create a structured system for identifying reversals, breakouts, and extreme conditions. The BBMA Enhanced Pro refines this framework with modern features like real-time dashboards and customizable visualizations, making it accessible to both novice and experienced traders.
Key Features
Multi-Timeframe Extreme Signals : Detects Extreme signals (overbought/oversold conditions) on both current and higher timeframes simultaneously, a rare feature that enhances signal reliability through trend alignment.
Professional Visual Themes : Eight distinct themes (e.g., Neon Contrast, Fire Gradient) optimized for dark backgrounds.
Dual-Mode Dashboard : Choose between Full Professional (detailed metrics) or Simplified Trader (essential info with custom notes).
Bollinger Band Squeeze Detection : Identifies low volatility periods (narrow bands) signaling potential sideways markets or breakouts.
Confirmation Labels : Displays labels when current timeframe signals align with recent higher timeframe signals, highlighting potential consolidations or squeezes.
Timeframe Validation : Prevents selecting the same timeframe for current and higher timeframe analysis.
Customizable Visualization : Toggle signal dots, EMA 50, and confirmation labels for a clean chart experience.
How It Works
The BBMA Enhanced Pro combines Bollinger Bands (20-period SMA, ±2 standard deviations) with WMA (5 and 10 periods) to generate trade signals:
Buy Signal : WMA 5 Low crosses above the lower Bollinger Band, indicating a recovery from an oversold condition (Extreme buy).
Sell Signal : WMA 5 High crosses below the upper Bollinger Band, signaling a rejection from an overbought condition (Extreme sell).
Extreme Signals : Occur when prices or WMAs move significantly beyond the Bollinger Bands (±2σ), indicating statistically rare overextensions. These often coincide with Bollinger Band Squeezes (narrow bands, low standard deviation), signaling potential sideways markets or impending breakouts.
Multi-Timeframe Confirmation : The indicator’s unique strength is its ability to detect Extreme signals on both the current and higher timeframe (HTF) within the same chart. When the HTF generates an Extreme signal (e.g., buy), and the current timeframe follows with an identical signal, it suggests the lower timeframe is aligning with the HTF’s trend, increasing reliability. Labels appear only when this alignment occurs within a user-defined lookback period (default: 50 bars), highlighting periods of band contraction across timeframes.
Bollinger Band Squeeze : Narrow bands (low standard deviation) indicate reduced volatility, often preceding consolidation or breakouts. The indicator’s dashboard tracks band width, helping traders anticipate these phases.
Why Multi-Timeframe Extremes Matter
The BBMA Enhanced Pro’s multi-timeframe approach is rare and powerful. When the higher timeframe shows an Extreme signal followed by a similar signal on the current timeframe, it suggests the market is following the HTF’s trend or entering a consolidation phase. For example:
HTF Sideways First : If the HTF Bollinger Bands are shrinking (low volatility, low standard deviation), it signals a potential sideways market. Waiting for the current timeframe to show a similar Extreme signal confirms this consolidation, reducing the risk of false breakouts.
Risk Management : By requiring HTF confirmation, the indicator encourages traders to lower risk during uncertain periods, waiting for both timeframes to align in a low-volatility state before acting.
Usage Instructions
Select Display Mode :
Current TF Only : Shows Bollinger Bands and WMAs on the chart’s timeframe.
Higher TF Only : Displays HTF bands and WMAs.
Both Timeframes : Combines both for comprehensive analysis.
Choose Higher Timeframe : Select from 1min to 1D (e.g., 15min, 1hr). Ensure it differs from the current timeframe to avoid validation errors.
Enable Signal Dots : Visualize buy/sell Extreme signals as dots, sourced from current, HTF, or both timeframes.
Toggle Confirmation Labels : Display labels when current timeframe Extremes align with recent HTF Extremes, signaling potential squeezes or consolidations.
Customize Dashboard :
Full Professional Mode : View metrics like BB width, WMA trend, and last signal.
Simplified Trader Mode : Focus on essential info with custom trader notes.
Select Visual Theme : Choose from eight themes (e.g., Ice Crystal, Royal Purple) for optimal chart clarity.
Trading Example
Setup : 5min chart, HTF set to 1hr, signal dots and confirmation labels enabled.
Buy Scenario : On the 5min chart, WMA 5 Low crosses above the lower Bollinger Band (Extreme buy), confirmed by a recent 1hr Extreme buy signal within 50 bars. The dashboard shows narrow bands (squeeze), and a green label appears.
Action : Enter a long position, targeting the middle band, with a stop-loss below the recent low. The HTF confirmation suggests a strong trend or consolidation phase.
Sell Scenario : WMA 5 High crosses below the upper Bollinger Band on the 5min chart, confirmed by a recent 1hr Extreme sell signal. The dashboard indicates a squeeze, and a red label appears.
Action : Enter a short position, targeting the middle band, with a stop-loss above the recent high. The aligned signals suggest a potential reversal or sideways market.
Customization Options
BBMA Display Mode : Current TF Only, Higher TF Only, or Both Timeframes.
Higher Timeframe : 1min to 1D.
Visual Theme : Eight professional themes (e.g., Neon Contrast, Forest Glow).
Line Style : Smooth or Step Line for HTF plots.
Signal Dots : Enable/disable, select timeframe source (Current, Higher, or Both).
Confirmation Labels : Toggle and set lookback window (1-100 bars).
Dashboard : Enable/disable, choose mode (Full/Simplified), and set position (Top Right, Bottom Left, etc.).
Notes
Extreme Signals and Squeezes : Extreme signals often occur during Bollinger Band contraction (low standard deviation), signaling potential sideways markets or breakouts. Use HTF confirmation to filter false signals.
Risk Management : If the HTF shows a squeeze (narrow bands), wait for the current timeframe to confirm with an Extreme signal to reduce risk in choppy markets.
Limitations : Avoid trading Extremes in highly volatile markets without additional confirmation (e.g., volume, RSI).
Author Enhanced Professional Edition, inspired by Omar Ali’s BBMA strategy
Version : 6.0 Pro - Simplified
Last Updated : September 2025
License : Mozilla Public License 2.0
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