Open RangeThis is a simple script that will look back a set number of candles at a specified time (example: Ny Open) and find the "High and Low " of the range/ market in the given look back period. It will then draw two lines and the range zone as a box. Breakout traders can use these levels to help find interesting areas for a breakout. Reversal traders can use these levels to help locate false breakouts.
Simple type in your time zone Example: GMT-4
Set the time you want the indicator to draw the start line Example: 8:30am
then set the candle look back Example: 60
Hope this script helps spark some ideas
Happy trading
Cerca negli script per "breakout"
Rob Booker - ADX Breakout updated to pinescript V5Rob Booker - ADX Breakout. The strategy remains unchanged but the code has been updated to pinescript V5. This enables compatibility with all new Tradingview features. Additonally, indicators have been made more easily visible, default cash settings as well as input descriptions have been added.
Rob Booker - ADX Breakout: (Directly taken from the official Tradingview V1 version of the script)
Definition
Rob Booker’s Average Directional Index (ADX) Breakout is a trend strength indicator that affirms the belief that trading in the direction of a trend and continuing to follow its pull is more profitable for traders, while simultaneously reducing risk.
History
ADX was traditionally used and developed to determine a price’s trend strength. It is commonly known as a tool from the arsenal of Rob Booker, experienced entrepreneur and currency trader.
Calculations
Calculations for the ADX Breakout indicator are based on a moving average of price range expansion over a specific period of time. By default, the setting rests at 14 bars, this however is not mandatory, as other periods are routinely used for analysis as well.
Takeaways
The ADX line is used to measure and determine the strength of a trend, and so the direction of this line and its interpretation are crucial in a trader’s analysis. As the ADX line rises, a trend increases in strength and price moves in the trend’s direction. Similarly, if the ADX line is falling, a trend decreases in strength and price then enters a period of consolidation, or retracement.
Traditionally, the ADX is plotted on the chart as a single line that consists of values that range from 0-100. The line is non-directional, meaning that it always measures trend strength regardless of the position of a price’s trend (up or down). Essentially, ADX quantifies trend strength by presenting in both uptrends and downtrends of the line.
What to look for
The values associated with the ADX line help traders determine the most profitable trades and where risk lies in the current trend. It is important to know how to quantify trend strength and distinguish between the varying values in order to understand the differences in trending vs. non-trending conditions. Let’s take a look at ADX values and what they mean for trend strength.
ADX Value:
0-25: Signifies an absent of weak trend
25-50: Signifies a strong trend
50-75: Signifies a very strong trend
75-100: Signifies an extremely strong trend
To delve into this a bit further, let’s assess the meaning of ADX if it is valued below 25. If the ADX line remains below 25 for more than 30 or so bars, price then enters range conditions, making price patterns more distinguishable and visible to traders. Price will move up and down between resistance and support in order to determine selling and buying interest and may then eventually break out into a trend or pattern.
The way in which ADX peaks, ebs, and flows is also a signifier of its overall pattern and trend momentum. The line can clearly indicate to the trader when trend strength is strong versus when it is weak. When ADX peaks are pictured as higher, it points towards an increase in trend momentum. If ADX peaks are pictured as lower - you guessed it - it points towards a decrease in trend momentum. A trend of lower ADX peaks could be a warning for traders to watch prices and manage and assess risk before a trade gets out of hand. Similarly, whenever there is a sudden move that seems out of place or a change in trend character that goes against what you’ve seen before, this should be a clear sign to watch prices and assess risk.
Summary
The ADX Breakout indicator is a trend strength indicator that analyzes price movements relative to trend strength to signal a user when is best for a trade and when is best to manage risk and assess patterns. As long as a trader recognizes strong trends and assesses the risk of each trade properly, they should have no problem using this indicator and utilizing it to work in their favor. In addition, the ADX helps identify trending conditions, but while doing so, also aids traders in finding strong trends to trade. The indicator can even alert traders to specific changes in trend momentum, allowing them to be primed for risk management.
Volume Positive Negative (VPN)The idea and calculations for the Volume Positive Negative (VPN) indicator were created by Markos Katsanos. Markos wrote about the indicator in the article Detecting High-Volume Breakouts, published in Technical Analysis of Stocks & Commodities April, 2021 (Vol. 39, Issue 5).
The goal of the VPN indicator is to detect breakouts using only volume. The basic idea is to compare volume on up days versus volume on down days. The indicator can oscillate between the range of -100 and 100. Values between 0 and 20 are generally considered bullish, negative are bearish.
When the plotted VPN crosses over what Markos refers to as the critical value, that may indicate a high volume breakout. The critical value can be adjusted between 0 to 20, 10 is the default,
Volume Positive Negative Calculation (VPN)
VPN = (VP - VN) / MAV / Period * 100
VP - sum of positive volume
VN - sum of negative volume
MAV - moving average of volume
Volume is considered positive when the average price is higher than the previous day's price by more than .1 of the ATR (average true range).
Force IndexWhat is the force index ?
The force index is an oscillator used to confirm price breakout strengths and identify potential trends.
It was popularized by A. Elder.
How the force index is computed ?
Knowing that volume is the fuel of a price movement, reliable breakouts and trend continuation are more likely to occur on high volume breakouts. This is why the force index is computed with the intensity of the price movement, and it's volume , using the formula ema13((close(n) - close(n-1)) * volume ) .
How to use the force index
An important change in the force index indicate a strong momentum in the price action.
You can read more about the force index interpretation on Investopedia
Customization
You can display the indicator as an histogram, or as a line chart.
You can change EMA length, although it's recommended to keep it at default value.
CPR by Anand with PDL/PDH & Breakouts 15/30 minsThis is an enhanced version of CPR by Anand with Configurable previous day high and low and option to configure breakout lines of 15 and 30 mins.
Will be an useful tool for day traders who follows CPR tricks and breakouts.
Stacey Burke Signal Day LTE“Previously published as ‘Day Zero Fakeout Detector MTF’”
Stacey Burke Signal Day LTE
Automatic detection of Day Zero, Inside Days, and Outside Days for Stacey Burke’s intraday playbook
🔎 Stacey Burke’s Signal Days
This indicator highlights the key daily patterns that often lead to high-probability intraday setups in Stacey Burke’s methodology:
1️⃣ Day Zero
The reset days within a 3-day cycle (e.g. breakout → continuation → exhaustion/reversal).
Can mark the beginning of a new directional phase.
Trades back inside the prior range after a Peak Formation High (PFH) or Peak Formation Low (PFL).
Bias: Look for measured parabolic session moves. When combined with trend following indicators, these signal days can be very powerful.
2️⃣ Inside Day
A day where the entire range is contained within the prior day’s range.
Signals consolidation and energy build-up.
Often leads to explosive breakouts in the next session.
Bias: Trade breakouts of the inside day’s high/low or breakout reversal in the session at key timings in the direction of higher timeframe bias. When combined with trend following indicators, these signal days can be very powerful.
3️⃣ Outside Day (Engulfing Day)
`
A day where the range is larger than the prior day’s range, engulfing both high and low.
Marks trapped traders and fakeouts on both sides.
Often precedes strong continuations or sharp reversals from outside of the ranges.
Bias: Align trades with the true continuation move. When combined with trend following indicators, these signal days can be very powerful.
📌 How They Work Together
Day Zero → Signals the new cycle after PFH/PFL.
Inside Day → Signals compression → expect breakout setups.
Outside Day → Signals exhaustion/fakeouts → expect reversals or continuations.
Together, they give traders a clear daily roadmap for where liquidity sits and when to expect the highest-probability setups.
✅ Example in Practice
Market rallies for 3 days → PFH forms → Day Zero short bias.
Next day prints an Inside Day → watch for breakout continuation short, and breakout reversals.
Later, an Outside Day traps both longs and shorts → the following session offers a clean intraday reversal or continuation trade in line with the underlying MTF trend/bias.
⚙️ Features of This Indicator
Automatic detection of Day Zero, Inside Days, and Outside Days
Multi-Timeframe (MTF) support for cycle alignment
Visual markers for PFH/PFL and consolidation zones
Measured move projections for breakout targets
👉 Stacey Burke Signal Day LTE gives traders just a few of the most important signal days — Day Zero, Inside Day, and Outside Day — to structure their intraday trades around fake outs, breakouts, and reversals within the daily cycles of the week. (This is work in progress: Next up, FRD/FGD's, 3-day cycle detecting, 3DLs, 3DSs).
Peak Reversal v3# Peak Reversal v3
## Summary
Peak Reversal v3 adds new configurability, clearer visuals, and a faster trader workflow. The release introduces a new Squeeze Detector , expanded Keltner Channels , and streamlined Momentum signals , with no repaints and improved performance. The menus have been reorganized and simplified. Color swatches have been added for better customization. All other colors will be derived from these swatches.
## Highlights
New Squeeze Detector to mark low-volatility periods and prepare for breakouts.
New: Bands are now fully configurable with independent MA length, ATR length, and multipliers.
Five moving average bases for bands: EMA (from v2), SMA, RMA, VMA, HMA.
Simplified color system: three swatches drive candles, on-chart marks, and band fill.
Reorganized menu with focused sections and tooltips for each parameter making the entire trader experience more intuitive.
No repaints and faster performance across calculations.
## Overview
Configuration : Pick from three color swatches and apply them to candles, plotted characters, and band fill for consistent chart context. Use the reorganized menu to reach Keltner settings, momentum signals, and squeeze detection without extra clicks; tooltips clarify each input.
Bands and averages: Choose the band basis from EMA, SMA, RMA, VMA, or HMA to match your strategy. Configure two bands independently by setting MA length, ATR length, and band multipliers for the inner and outer envelopes.
Signals : Select the band responsible for momentum signals. Choose wick or close as the price source for entries and exits. Control the window for extreme momentum with “Max Momentum Bars,” a setting now exposed in v3 for direct tuning.
Squeeze detection : The Squeeze Detector normalizes band width and uses percentile ranking to highlight volatility compression. When the market falls below a user-defined threshold, the indicator colors the region with a gradient to signal potential expansion.
## Details about major features and changes
### New
Squeeze Detector to highlight low-volatility conditions.
Five MA bases for bands: EMA, SMA, RMA, VMA, HMA.
“Max Momentum Bars” to cap the bars used for extreme momentum.
### Keltner channel improvements
Refactored Keltner settings for flexible inner and outer band control.
MA type selection added; band calculations updated for consistency.
Removed the third Keltner band to reduce noise and simplify setup.
### Display and signals
Gradient fills for band breakouts, mean deviations, and squeeze periods.
“Show Mean EMA?” set to true and default “Signal Band” set to “Inner.”
Clearer tooltips and input descriptions.
### Reliability and performance
No more repaints. The indicator waits for confirmation before drawing occurs.
Faster execution through targeted refactors.
All algorithms have been reviewed and now use a consistent logic, naming, and structure.
Advanced Range Analyzer ProAdvanced Range Analyzer Pro – Adaptive Range Detection & Breakout Forecasting
Overview
Advanced Range Analyzer Pro is a comprehensive trading tool designed to help traders identify consolidations, evaluate their strength, and forecast potential breakout direction. By combining volatility-adjusted thresholds, volume distribution analysis, and historical breakout behavior, the indicator builds an adaptive framework for navigating sideways price action. Instead of treating ranges as noise, this system transforms them into opportunities for mean reversion or breakout trading.
How It Works
The indicator continuously scans price action to identify active range environments. Ranges are defined by volatility compression, repeated boundary interactions, and clustering of volume near equilibrium. Once detected, the indicator assigns a strength score (0–100), which quantifies how well-defined and compressed the consolidation is.
Breakout probabilities are then calculated by factoring in:
Relative time spent near the upper vs. lower range boundaries
Historical breakout tendencies for similar structures
Volume distribution inside the range
Momentum alignment using auxiliary filters (RSI/MACD)
This creates a live probability forecast that updates as price evolves. The tool also supports range memory, allowing traders to analyze the last completed range after a breakout has occurred. A dynamic strength meter is displayed directly above each consolidation range, providing real-time insight into range compression and breakout potential.
Signals and Breakouts
Advanced Range Analyzer Pro includes a structured set of visual tools to highlight actionable conditions:
Range Zones – Gradient-filled boxes highlight active consolidations.
Strength Meter – A live score displayed in the dashboard quantifies compression.
Breakout Labels – Probability percentages show bias toward bullish or bearish continuation.
Breakout Highlights – When a breakout occurs, the range is marked with directional confirmation.
Dashboard Table – Displays current status, strength, live/last range mode, and probabilities.
These elements update in real time, ensuring that traders always see the current state of consolidation and breakout risk.
Interpretation
Range Strength : High scores (70–100) indicate strong consolidations likely to resolve explosively, while low scores suggest weak or choppy ranges prone to false signals.
Breakout Probability : Directional bias greater than 60% suggests meaningful breakout pressure. Equal probabilities indicate balanced compression, favoring mean-reversion strategies.
Market Context : Ranges aligned with higher timeframe trends often resolve in the dominant direction, while counter-trend ranges may lead to reversals or liquidity sweeps.
Volatility Insight : Tight ranges with low ATR imply imminent expansion; wide ranges signal extended consolidation or distribution phases.
Strategy Integration
Advanced Range Analyzer Pro can be applied across multiple trading styles:
Breakout Trading : Enter on probability shifts above 60% with confirmation of volume or momentum.
Mean Reversion : Trade inside ranges with high strength scores by fading boundaries and targeting equilibrium.
Trend Continuation : Focus on ranges that form mid-trend, anticipating continuation after consolidation.
Liquidity Sweeps : Use failed breakouts at boundaries to capture reversals.
Multi-Timeframe : Apply on higher timeframes to frame market context, then execute on lower timeframes.
Advanced Techniques
Combine with volume profiles to identify areas of institutional positioning within ranges.
Track sequences of strong consolidations for trend development or exhaustion signals.
Use breakout probability shifts in conjunction with order flow or momentum indicators to refine entries.
Monitor expanding/contracting range widths to anticipate volatility cycles.
Custom parameters allow fine-tuning sensitivity for different assets (crypto, forex, equities) and trading styles (scalping, intraday, swing).
Inputs and Customization
Range Detection Sensitivity : Controls how strictly ranges are defined.
Strength Score Settings : Adjust weighting of compression, volume, and breakout memory.
Probability Forecasting : Enable/disable directional bias and thresholds.
Gradient & Fill Options : Customize range visualization colors and opacity.
Dashboard Display : Toggle live vs last range, info table size, and position.
Breakout Highlighting : Choose border/zone emphasis on breakout events.
Why Use Advanced Range Analyzer Pro
This indicator provides a data-driven approach to trading consolidation phases, one of the most common yet underutilized market states. By quantifying range strength, mapping probability forecasts, and visually presenting risk zones, it transforms uncertainty into clarity.
Whether you’re trading breakouts, fading ranges, or mapping higher timeframe context, Advanced Range Analyzer Pro delivers a structured, adaptive framework that integrates seamlessly into multiple strategies.
Squeeze Momentum Regression Clouds [SciQua]╭──────────────────────────────────────────────╮
☁️ Squeeze Momentum Regression Clouds
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🔍 Overview
The Squeeze Momentum Regression Clouds (SMRC) indicator is a powerful visual tool for identifying price compression , trend strength , and slope momentum using multiple layers of linear regression Clouds. Designed to extend the classic squeeze framework, this indicator captures the behavior of price through dynamic slope detection, percentile-based spread analytics, and an optional UI for trend inspection — across up to four customizable regression Clouds .
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⚙️ Core Features
╰────────────────╯
Up to 4 Regression Clouds – Each Cloud is created from a top and bottom linear regression line over a configurable lookback window.
Slope Detection Engine – Identifies whether each band is rising, falling, or flat based on slope-to-ATR thresholds.
Spread Compression Heatmap – Highlights compressed zones using yellow intensity, derived from historical spread analysis.
Composite Trend Scoring – Aggregates directional signals from each Cloud using your chosen weighting model.
Color-Coded Candles – Optional candle coloring reflects the real-time composite score.
UI Table – A toggleable info table shows slopes, compression levels, percentile ranks, and direction scores for each Cloud.
Gradient Cloud Styling – Apply gradient coloring from Cloud 1 to Cloud 4 for visual slope intensity.
Weight Aggregation Options – Use equal weighting, inverse-length weighting, or max pooling across Clouds to determine composite trend strength.
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╭──────────────────────────────────────────╮
🧪 How to Use the Indicator
1. Understand Trend Bias with Cloud Colors
╰──────────────────────────────────────────╯
Each Cloud changes color based on its current slope:
Green indicates a rising trend.
Red indicates a falling trend.
Gray indicates a flat slope — often seen during chop or transitions.
Cloud 1 typically reflects short-term structure, while Cloud 4 represents long-term directional bias. Watch for multi-Cloud alignment — when all Clouds are green or red, the trend is strong. Divergence among Clouds often signals a potential shift.
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2. Use Compression Heat to Anticipate Breakouts
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The space between each Cloud’s top and bottom regression lines is measured, normalized, and analyzed over time. When this spread tightens relative to its history, the script highlights the band with a yellow compression glow .
This visual cue helps identify squeeze zones before volatility expands. If you see compression paired with a changing slope color (e.g., gray to green), this may indicate an impending breakout.
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╭─────────────────────────────────╮
3. Leverage the Optional Table UI
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The indicator includes a dynamic, floating table that displays real-time metrics per Cloud. These include:
Slope direction and value , with historical Min/Max reference.
Top and Bottom percentile ranks , showing how price sits within the Cloud range.
Current spread width , compared to its historical norms.
Composite score , which blends trend, slope, and compression for that Cloud.
You can customize the table’s position, theme, transparency, and whether to show a combined summary score in the header.
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4. Analyze Candle Color for Composite Signals
╰─────────────────────────────────────────────╯
When enabled, the indicator colors candles based on a weighted composite score. This score factors in:
The signed slope of each Cloud (up, down, or flat)
The percentile pressure from the top and bottom bands
The degree of spread compression
Expect green candles in bullish trend phases, red candles during bearish regimes, and gray candles in mixed or low-conviction zones.
Candle coloring provides a visual shorthand for market conditions , useful for intraday scanning or historical backtesting.
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🧰 Configuration Guidance
╰────────────────────────╯
To tailor the indicator to your strategy:
Use Cloud lengths like 21, 34, 55, and 89 for a balanced multi-timeframe view.
Adjust the slope threshold (default 0.05) to control how sensitive the trend coloring is.
Set the spread floor (e.g., 0.15) to tune when compression is detected and visualized.
Choose your weighting style : Inverse Length (favor faster bands), Equal, or Max Pooling (most aggressive).
Set composite weights to emphasize trend slope, percentile bias, or compression—depending on your market edge.
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╭────────────────╮
✅ Best Practices
╰────────────────╯
Use aligned Cloud colors across all bands to confirm trend conviction.
Combine slope direction with compression glow for early breakout entry setups.
In choppy markets, watch for Clouds 1 and 2 turning flat while Clouds 3 and 4 remain directional — a sign of potential trend exhaustion or consolidation.
Keep the table enabled during backtesting to manually evaluate how each Cloud behaved during price turns and consolidations.
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📌 License & Usage Terms
╰───────────────────────╯
This script is provided under the Creative Commons Attribution-NonCommercial 4.0 International License .
✅ You are allowed to:
Use this script for personal or educational purposes
Study, learn, and adapt it for your own non-commercial strategies
❌ You are not allowed to:
Resell or redistribute the script without permission
Use it inside any paid product or service
Republish without giving clear attribution to the original author
For commercial licensing , private customization, or collaborations, please contact Joshua Danford directly.
Auto Channel [SciQua]Auto Channel
Purpose
Auto Channel finds the single best parallel price channel from recent price action and keeps it updated in real time. It uses ZigZag pivots to build candidate channels, scores each candidate for quality, then plots the winner. When price closes outside the channel, the script flags a breakout and can fire alerts.
How it works
1. ZigZag pivots
The script uses TradingView’s TradingView/ZigZag/7 library to generate a stream of swing highs and lows based on a percentage reversal threshold and a leg depth. These pivots are the only points the channel logic evaluates, which keeps the search fast and focused on structure rather than noise.
2. Channel candidates
From the most recent pivots, the script forms all combinations of two swing highs and two swing lows.
It computes a slope for the high line and a slope for the low line and requires that they be nearly parallel within a user-defined tolerance.
3. Quality scoring and selection
For every valid candidate, the script checks the recent pivot segments against the trial channel and computes:
Inside ratio: fraction of tested pivots that sit fully inside the channel after applying the tolerance buffer.
Violation sum: total magnitude of the breaches for any pivots outside the channel.
Current width: distance between upper and lower lines at the current bar.
The “best” channel is chosen by:
1. highest inside ratio
2. then widest current width
3. then smallest violation sum
4. Plot and projection
The upper and lower lines are anchored to the chosen pivot pairs and extend to the left. The script also projects each line to the current bar to compute the live upper and lower channel prices. Those levels drive the breakout checks and alerts.
5. Breakouts and alerts
A breakout is detected when the bar closes above the projected upper line or closes below the projected lower line, after applying the tolerance buffer. Triangle markers highlight fresh breakouts, and you can enable alert conditions to automate notification or strategy handoff.
Inputs:
ZigZag
Price deviation for reversals (%)
Default 0.2. Larger values produce fewer, larger swings. Smaller values produce more, smaller swings.
Pivot legs
Default 2. Controls the lookback depth ZigZag uses to confirm pivots.
ZigZag Color
Visual only.
Tip: If you are not seeing a stable channel, increase the ZigZag percentage to reduce minor swings.
Channel search
Number of recent pivots to consider
Default 12. Higher values search more history and try more channel combinations. Lower values make the search faster and more reactive.
Max slope difference for parallel
Default 0.0005. Maximum allowed difference between the upper and lower line slopes. Smaller values enforce stricter parallelism.
Max price tolerance outside channel
Default 0.0. A buffer added to the channel boundaries during validation and breakout checks. Use this to ignore tiny wicks that poke the lines.
Minimum inside to outside pivots ratio for valid channel (0.00–1.00)
Default 1.00. Require that at least this fraction of checked pivots lie inside the channel. For a more permissive fit, try 0.60 to 0.85.
Styling
Upper Line Color
Lower Line Color
Breakout Above Color
Breakout Below Color
Plots and visuals
Upper channel line
Lower channel line
Triangle markers on the bar that first confirms a close outside the channel, above or below.
Lines extend left from their pivot anchors. Projection to the current bar is used internally to test for breakouts and to set alerts.
Alerts
The script defines two alert conditions:
Close Above Channel
Triggers when the bar closes above the projected upper line plus tolerance.
Close Below Channel
Triggers when the bar closes below the projected lower line minus tolerance.
Practical usage
Trend channels
In a steady trend, a high inside ratio with a moderate width often highlights the dominant channel. Consider trend entries near the lower line in an uptrend or near the upper line in a downtrend, with exits or stops beyond the opposite boundary.
Breakout trades
Combine the channel breakout alert with volume or a separate momentum filter. The tolerance input helps avoid false triggers from small wicks.
Tuning for timeframe and symbol
• Faster markets or lower timeframes usually benefit from a larger ZigZag percentage and a smaller pivot count.
• Slower markets or higher timeframes can use more pivots and a tighter slope difference to enforce cleaner geometry.
Notes and limitations
Channels are derived from ZigZag pivots. If your ZigZag settings change, the detected channel will also change.
The script plots only the single best channel at any time to keep the chart clean.
Breakout markers appear on confirmed bars. For historical bars, markers appear only where a breakout would have been confirmed at that time.
Lines extend left from their anchors. The script projects the lines internally to the current bar for checks and alerts.
License and attribution
License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
Open source for educational and personal use only. Commercial use requires written permission.
Attribution
© 2025 SciQua — Joshua Danford
Libraries
Uses TradingView/ZigZag/7.
Changelog
v1.0
Initial release. Automatic parallel channel detection from ZigZag pivots, quality scoring, live plotting, and close-based breakout alerts.
FAQ
Why do I not see any channel sometimes?
There may not be a valid pair of highs and lows that pass the slope, inside ratio, and tolerance checks. Loosen the constraints by increasing Max slope difference, lowering Minimum inside ratio, or increasing the ZigZag percentage.
The channel looks too narrow or too wide?
Adjust Number of recent pivots and Minimum inside ratio. A higher inside ratio tends to favor cleaner, sometimes wider channels. A lower ratio may admit narrower, more reactive channels.
How can I reduce false breakout alerts?
Increase Max price tolerance outside channel to ignore small wicks. Add a volume or momentum confirmation in your personal alert workflow.
Thank you for using Auto Channel . Feedback and improvements are welcome.
15-Min Opening Range Breakout STEP-BY-STEP RULES
1. Define the Opening Range (OR)
Mark the high and low of the first 15-minute candle of the session.
This creates your Opening Range.
Example: London session opens at 08:00 GMT. Use the 08:00–08:15 candle.
2. Set Entry Triggers
Buy Breakout: Place a Buy Stop order 1 pip above the Opening Range high.
Sell Breakout: Place a Sell Stop order 1 pip below the Opening Range low.
⚠️ Only one side should be triggered. Cancel the opposite order once one is active.
3. Set Stop Loss (SL)
For Buy trades:
SL = Opening Range Low - 2 pips
For Sell trades:
SL = Opening Range High + 2 pips
This ensures you give the price enough space, while keeping risk controlled.
4. Set Take Profit (TP)
Use either of these two approaches:
✅ Fixed Risk-Reward (Preferred)
Target 1: TP = 2R (i.e., 2 × SL distance)
Target 2 (optional): Leave runner for 3R or trail stop behind minor S/R
✅ Fixed Pip Target (alternative)
TP = +50 pips
SL = -20 pips
Matches your preferred risk model of 20 SL / 50 TP
5. Trade Management
If no breakout occurs within 1 hour, cancel the pending orders. No trade that day.
If trade triggers but fails to move, consider time-based exit after 2 hours.
Optional: Move SL to breakeven once price moves 1R in your favor.
Trend Breakout [Uncle Sam Trading]Trend Breakout Indicator
Overview
The Trend Breakout Indicator is a powerful, non-repainting tool designed to help traders identify high-probability breakout and trend reversal setups on any market and timeframe. By leveraging pivot points, this indicator draws dynamic support and resistance channels, highlights counter-trend breakouts, and provides visual cues for market direction. It’s ideal for traders looking to simplify their analysis while targeting key price levels for entries and exits.
Key Features
Pivot-Based Channels: Draws a red upper channel (resistance) and a green lower channel (support) by connecting recent pivot highs and lows.
Counter-Trend Breakout Signals:
Blue “CT Breakup” signal (▲) when the price breaks above the upper channel during a downtrend, indicating a potential reversal or pullback.
Orange “CT Breakdown” signal (▼) when the price breaks below the lower channel during an uptrend, signaling a potential downmove.
Trend Visualization: Background color shifts to green for uptrends and red for downtrends, making it easy to gauge market direction.
Customizable Settings: Adjust pivot detection sensitivity with “Pivot Left Bars” (default: 5) and “Pivot Right Bars” (default: 1), and control channel extension with “Channel Extension Bars” (default: 50).
Optional Trend Signals: Enable “Show Trend Change Signals” to display trend shifts with green (uptrend) or red (downtrend) arrows.
Alert Conditions: Set alerts for counter-trend breakouts and trend changes directly on TradingView.
Example Performance (BTCUSDT, 1-Hour Chart)
On the BTCUSDT 1-hour chart:
A “CT Breakdown” signal appeared on April 6 at 8:00 AM at $82,700, followed by a drop to $74,400 within hours—a 10% move.
A “CT Breakup” signal occurred on April 9 at 1:00 AM at $76,600, leading to a rally to $86,600 in a few hours—a 9% gain.
These examples highlight the indicator’s ability to spot significant price movements, though results depend on market conditions, your trading style, and risk management.
Settings
Pivot Left Bars (default: 5): Number of bars to the left for pivot detection.
Pivot Right Bars (default: 1): Number of bars to the right for pivot confirmation (ensures non-repainting signals).
Channel Extension Bars (default: 50): How far the channels extend to the right.
Show Pivot Points (default: true): Displays small triangles at pivot highs (maroon) and lows (navy).
Show Counter-Trend Breakout Signals (default: true): Shows CT Breakup and CT Breakdown signals.
Show Trend Change Signals (default: false): Displays trend shift arrows when enabled.
How to Use
Add the indicator to your chart via TradingView’s indicator library.
Adjust the settings to match your trading style and timeframe.
Watch for “CT Breakup” and “CT Breakdown” signals to identify potential trade setups.
Use the background color (green/red) to confirm the current trend.
Set alerts for breakouts or trend changes to stay updated on key signals.
Always combine with proper risk management and your own analysis—past performance is not a guarantee of future results.
Notes
The indicator is non-repainting, meaning signals are confirmed and won’t disappear after they form.
Works on any market (crypto, forex, stocks) and timeframe, such as the BTCUSDT 1-hour chart shown.
Performance varies based on market volatility and your trading strategy.
This is a free tool created to support the TradingView community—feedback is welcome in the comments!
Disclaimer
Trading involves risk, and this indicator is not a guaranteed predictor of future price movements. Always conduct your own analysis and manage risk appropriately. The examples provided (e.g., BTCUSDT signals) are for educational purposes only and reflect past performance, which may not repeat.
London Breakout Tracker - Box Style📊 London Breakout Tracker (Pine Script v6)
This script is designed to track the Asian session range and identify breakout opportunities when the London session begins. It highlights high-probability trade setups and helps avoid fakeouts or overly wide ranges.
🧱 1. Session Time Definitions (Adjusted for Kenyan Time)
The Asian session is defined as:
3:00 AM to 11:00 AM (Kenyan Time)
🔐 2. Asian Session High & Low
During the Asian session:
The script tracks the highest high and lowest low to define the range.
These are stored in variables: asianHigh and asianLow.
🧊 3. Box Drawing for the Asian Range
Once the Asian session ends:
A visual box is drawn around the session using box.new().
This box spans from the session start to end bars and from the high to low.
It helps visually see the range price must break out from.
🚨 4. Breakout Signals
After the Asian session:
A Long Breakout signal is generated if:
The candle closes above the Asian High.
A Short Breakout signal is generated if:
The candle closes below the Asian Low.
This corresponds to 00:00 to 08:00 UTC
These are shown with:
✅ Green up label for long breakouts
❌ Red down label for short breakouts
🧯 5. Fakeout Detection
If price breaks out but closes back inside the Asian range, it’s marked as a Fakeout:
Long Fakeout: Price breaks above high, then closes back below.
Short Fakeout: Price breaks below low, then closes back above.
These are marked with orange X-crosses above or below candles.
⚠️ 6. Wide Range Filter
If the Asian session range is too wide (e.g. > 40 pips), a gray background is drawn.
This warns you not to trade that day since breakouts from wide ranges are unreliable.
📣 7. Alert Conditions
The script can trigger alerts in TradingView when:
🔔 A Long or Short Breakout occurs
⚠️ A Fakeout is detected
You can set these up via the TradingView alert system.
🎯 Overall Purpose:
The script helps you:
Clearly see the Asian session range
Identify breakout opportunities at the London open
Avoid trading during fakeouts or wide-range sessions
Get alerted when breakout/fakeout conditions occur
Reversal & Breakout Strategy with ORB### Reversal & Breakout Strategy with ORB
This strategy combines three distinct trading approaches—reversals, trend breakouts, and opening range breakouts (ORB)—into a single, cohesive system. The goal is to capture high-probability setups across different market conditions, leveraging a mashup of technical indicators for confirmation and risk management. Below, I’ll explain why this combination works, how the components interact, and how to use it effectively.
#### Why the Mashup?
- **Reversals**: Identifies overextended moves using RSI (overbought/oversold) and SMA50 crosses, filtered by VWAP and SMA200 trend direction. This targets mean-reversion opportunities in trending markets.
- **Breakouts**: Uses EMA9/EMA20 crossovers with VWAP and SMA200 confirmation to catch momentum-driven trend continuations.
- **Opening Range Breakout (ORB)**: Detects early momentum by breaking the high/low of a user-defined opening range (default: 15 bars) with volume confirmation. This adds a time-based edge, ideal for intraday trading.
The synergy comes from blending these methods: reversals catch pullbacks, breakouts ride trends, and ORB exploits early volatility—all filtered by trend (SMA200) and anchored by VWAP for context.
#### How It Works
1. **Indicators**:
- **EMA9/EMA20**: Fast-moving averages for breakout signals.
- **SMA50**: Medium-term trend filter for reversals.
- **SMA200**: Long-term trend direction to align trades.
- **RSI (14)**: Measures overbought (>70) or oversold (<30) conditions.
- **VWAP**: Acts as a dynamic support/resistance level.
- **ATR (14)**: Sets stop-loss distance (default: 1.5x ATR).
- **Volume**: Confirms ORB breakouts (1.5x average volume of opening range).
2. **Entry Conditions**:
- **Long**: Triggers on reversal (SMA50 cross + RSI < 30 + below VWAP + uptrend), breakout (EMA9 > EMA20 + above VWAP + uptrend), or ORB (break above opening range high + volume).
- **Short**: Triggers on reversal (SMA50 cross + RSI > 70 + above VWAP + downtrend), breakout (EMA9 < EMA20 + below VWAP + downtrend), or ORB (break below opening range low + volume).
3. **Risk Management**:
- Risks 5% of equity per trade (based on the initial capital set in the strategy tester).
- Stop-loss: Based on lowest low/highest high over 7 bars ± 1.5x ATR.
- Targets: Two exits at 1:1 and 1:2 risk:reward (50% of position at each).
- Break-even: Stop moves to entry price after the first target is hit.
4. **Backtesting Settings**:
- Commission: Hardcoded at 0.1% per trade (realistic for most brokers).
- Slippage: Hardcoded at 2 ticks (realistic for most markets).
- Tested on datasets yielding 100+ trades (e.g., 2-min or 5-min charts over months).
#### How to Use It
- **Timeframe**: Works best on intraday (2-min, 5-min) or daily charts. Adjust `Opening Range Bars` (e.g., 15 bars = 30 min on 2-min chart) for your timeframe.
- **Settings**:
- Set your initial equity in the TradingView strategy tester’s "Properties" tab under "Initial Capital" (e.g., $10,000). The script automatically risks 5% of this equity per trade.
- Adjust `Stop Loss ATR Multiplier` or `Risk:Reward Targets` based on your risk tolerance.
- Note that commission (0.1%) and slippage (2 ticks) are fixed in the script for backtesting consistency.
- **Execution**: Enter on signal, monitor plotted stop (red) and targets (green/blue). The strategy supports pyramiding (up to 2 positions) for scaling into trends.
#### Backtesting Notes
Results are realistic with commission (0.1%) and slippage (2 ticks) included. For a sufficient sample, test on volatile instruments (e.g., stocks, forex) over 3-6 months on lower timeframes. The default 1.5x ATR stop may seem wide, but it’s justified to avoid premature exits in volatile markets—feel free to tweak it with justification. The script assumes an initial capital of $10,000 in the strategy tester for the 5% risk calculation (e.g., $500 risk per trade); adjust this in the "Properties" tab as needed.
This mashup isn’t just a random mix; it’s a deliberate fusion of complementary strategies, offering traders flexibility across market phases. Questions? Let me know!
Trendline Breaks with Multi Fibonacci Supertrend StrategyTMFS Strategy: Advanced Trendline Breakouts with Multi-Fibonacci Supertrend
Elevate your algorithmic trading with institutional-grade signal confluence
Strategy Genesis & Evolution
This advanced trading system represents the culmination of a personal research journey, evolving from my custom " Multi Fibonacci Supertrend with Signals " indicator into a comprehensive trading strategy. Built upon the exceptional trendline detection methodology pioneered by LuxAlgo in their " Trendlines with Breaks " indicator, I've engineered a systematic framework that integrates multiple technical factors into a cohesive trading system.
Core Fibonacci Principles
At the heart of this strategy lies the Fibonacci sequence application to volatility measurement:
// Fibonacci-based factors for multiple Supertrend calculations
factor1 = input.float(0.618, 'Factor 1 (Weak/Fibonacci)', minval = 0.01, step = 0.01)
factor2 = input.float(1.618, 'Factor 2 (Medium/Golden Ratio)', minval = 0.01, step = 0.01)
factor3 = input.float(2.618, 'Factor 3 (Strong/Extended Fib)', minval = 0.01, step = 0.01)
These precise Fibonacci ratios create a dynamic volatility envelope that adapts to changing market conditions while maintaining mathematical harmony with natural price movements.
Dynamic Trendline Detection
The strategy incorporates LuxAlgo's pioneering approach to trendline detection:
// Pivotal swing detection (inspired by LuxAlgo)
pivot_high = ta.pivothigh(swing_length, swing_length)
pivot_low = ta.pivotlow(swing_length, swing_length)
// Dynamic slope calculation using ATR
slope = atr_value / swing_length * atr_multiplier
// Update trendlines based on pivot detection
if bool(pivot_high)
upper_slope := slope
upper_trendline := pivot_high
else
upper_trendline := nz(upper_trendline) - nz(upper_slope)
This adaptive trendline approach automatically identifies key structural market boundaries, adjusting in real-time to evolving chart patterns.
Breakout State Management
The strategy implements sophisticated state tracking for breakout detection:
// Track breakouts with state variables
var int upper_breakout_state = 0
var int lower_breakout_state = 0
// Update breakout state when price crosses trendlines
upper_breakout_state := bool(pivot_high) ? 0 : close > upper_trendline ? 1 : upper_breakout_state
lower_breakout_state := bool(pivot_low) ? 0 : close < lower_trendline ? 1 : lower_breakout_state
// Detect new breakouts (state transitions)
bool new_upper_breakout = upper_breakout_state > upper_breakout_state
bool new_lower_breakout = lower_breakout_state > lower_breakout_state
This state-based approach enables precise identification of the exact moment when price breaks through a significant trendline.
Multi-Factor Signal Confluence
Entry signals require confirmation from multiple technical factors:
// Define entry conditions with multi-factor confluence
long_entry_condition = enable_long_positions and
upper_breakout_state > upper_breakout_state and // New trendline breakout
di_plus > di_minus and // Bullish DMI confirmation
close > smoothed_trend // Price above Supertrend envelope
// Execute trades only with full confirmation
if long_entry_condition
strategy.entry('L', strategy.long, comment = "LONG")
This strict requirement for confluence significantly reduces false signals and improves the quality of trade entries.
Advanced Risk Management
The strategy includes sophisticated risk controls with multiple methodologies:
// Calculate stop loss based on selected method
get_long_stop_loss_price(base_price) =>
switch stop_loss_method
'PERC' => base_price * (1 - long_stop_loss_percent)
'ATR' => base_price - long_stop_loss_atr_multiplier * entry_atr
'RR' => base_price - (get_long_take_profit_price() - base_price) / long_risk_reward_ratio
=> na
// Implement trailing functionality
strategy.exit(
id = 'Long Take Profit / Stop Loss',
from_entry = 'L',
qty_percent = take_profit_quantity_percent,
limit = trailing_take_profit_enabled ? na : long_take_profit_price,
stop = long_stop_loss_price,
trail_price = trailing_take_profit_enabled ? long_take_profit_price : na,
trail_offset = trailing_take_profit_enabled ? long_trailing_tp_step_ticks : na,
comment = "TP/SL Triggered"
)
This flexible approach adapts to varying market conditions while providing comprehensive downside protection.
Performance Characteristics
Rigorous backtesting demonstrates exceptional capital appreciation potential with impressive risk-adjusted metrics:
Remarkable total return profile (1,517%+)
Strong Sortino ratio (3.691) indicating superior downside risk control
Profit factor of 1.924 across all trades (2.153 for long positions)
Win rate exceeding 35% with balanced distribution across varied market conditions
Institutional Considerations
The strategy architecture addresses execution complexities faced by institutional participants with temporal filtering and date-range capabilities:
// Time Filter settings with flexible timezone support
import jason5480/time_filters/5 as time_filter
src_timezone = input.string(defval = 'Exchange', title = 'Source Timezone')
dst_timezone = input.string(defval = 'Exchange', title = 'Destination Timezone')
// Date range filtering for precise execution windows
use_from_date = input.bool(defval = true, title = 'Enable Start Date')
from_date = input.time(defval = timestamp('01 Jan 2022 00:00'), title = 'Start Date')
// Validate trading permission based on temporal constraints
date_filter_approved = time_filter.is_in_date_range(
use_from_date, from_date, use_to_date, to_date, src_timezone, dst_timezone
)
These capabilities enable precise execution timing and market session optimization critical for larger market participants.
Acknowledgments
Special thanks to LuxAlgo for the pioneering work on trendline detection and breakout identification that inspired elements of this strategy. Their innovative approach to technical analysis provided a valuable foundation upon which I could build my Fibonacci-based methodology.
This strategy is shared under the same Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) license as LuxAlgo's original work.
Past performance is not indicative of future results. Conduct thorough analysis before implementing any algorithmic strategy.
Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator
Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes.
❓ How to Interpret the Bands & Volume Gradient:
Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength.
🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise.
🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis.
🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength.
📌 How Does It Work?
1️⃣ Multi-Timeframe Bollinger Bands Calculation
The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals.
The HTF BB is EMA-smoothed for improved trend clarity.
2️⃣ Adaptive Gradient Transparency
The opacity of the fill color between the bands is determined by relative buy/sell volume.
Higher buy volume = stronger bullish signal (greener bands).
Higher sell volume = stronger bearish signal (redder bands).
3️⃣ Dynamic Trend Signals & Breakouts
Buy Signal: When price breaks below the HTF lower band and LTF bands start rising.
Sell Signal: When price breaks above the HTF upper band and LTF bands start falling.
⚙️ Settings & Customization:
🛠 LTF and HTF Bollinger Bands Settings:
Multiplier: The multiplier applied to the BB to determine the upper and lower bands
Length: Define the number of bars determines the BB calculations.
Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc).
🎨 Gradient & Transparency Settings:
Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions.
Max & Min Opacity: Adjust the transparency levels based on volume intensity.
Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity.
📌 Recommended Settings for Optimal Use:
1️⃣ Timeframe Selection (LTF -> HTF):
1 min -> 5 min
2 min -> 5 min
3 min -> 15 min
5 min -> 15 min
15 min -> 1 hr
1 hr -> 4 hr
4 hr -> 1 day
2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF
3️⃣Length: Use a length of 20 - 30 bars
🚀 Why Use This Indicator?
✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals.
✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity.
✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends.
✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
TrendPredator FOTrendPredator Fakeout Highlighter (FO)
The TrendPredator Fakeout Highlighter is designed to enhance multi-timeframe trend analysis by identifying key market behaviors that indicate trend strength, weakness, and potential reversals. Inspired by Stacey Burke’s trading approach, this tool focuses on trend-following, momentum shifts, and trader traps, helping traders capitalize on high-probability setups.
At its core, this indicator highlights peak formations—anchor points where price often locks in trapped traders before making decisive moves. These principles align with George Douglas Taylor’s 3-day cycle and Steve Mauro’s BTMM method, making the FO Highlighter a powerful tool for reading market structure. As markets are fractal, this analysis works on any timeframe.
How It Works
The TrendPredator FO highlights key price action signals by coloring candles based on their bias state on the current timeframe.
It tracks four major elements:
Breakout/Breakdown Bars – Did the candle close in a breakout or breakdown relative to the last candle?
Fakeout Bars (Trend Close) – Did the candle break a prior high/low and close back inside, but still in line with the trend?
Fakeout Bars (Counter-Trend Close) – Did the candle break a prior high/low, close back inside, and against the trend?
Switch Bars – Did the candle lose/ reclaim the breakout/down level of the last bar that closed in breakout/down, signalling a possible trend shift?
Reading the Trend with TrendPredator FO
The annotations in this example are added manually for illustration.
- Breakouts → Strong Trend
Multiple candles closing in breakout signal a healthy and strong trend.
- Fakeouts (Trend Close) → First Signs of Weakness
Candles that break out but close back inside suggest a potential slowdown—especially near key levels.
- Fakeouts (Counter-Trend Close) → Stronger Reversal Signal
Closing against the trend strengthens the reversal signal.
- Switch Bars → Momentum Shift
A shift in trend is confirmed when price crosses back through the last closed breakout candles breakout level, trapping traders and fuelling a move in the opposite direction.
- Breakdowns → Trend Reversal Confirmed
Once price breaks away from the peak formation, closing in breakdown, the trend shift is validated.
Customization & Settings
- Toggle individual candle types on/off
- Customize colors for each signal
- Set the number of historical candles displayed
Example Use Cases
1. Weekly Template Analysis
The weekly template is a core concept in Stacey Burke’s trading style. FO highlights individual candle states. With this the state of the trend and the developing weekly template can be evaluated precisely. The analysis is done on the daily timeframe and we are looking especially for overextended situations within a week, after multiple breakouts and for peak formations signalling potential reversals. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration.
📈 Example: Weekly Template Analysis snapshot on daily timeframe
2. High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or down closes occur near key monthly levels mid-week, signalling overextensions and potentially large parabolic moves. Key signals for this are breakout or down closes occurring on a Wednesday. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration. Also an indicator can bee seen on this chart shading every Wednesday to identify the signal.
📉 Example: High Timeframe Setup snapshot
3. Low Timeframe Entry Confirmation
FO helps confirm entry signals after a setup is identified, allowing traders to time their entries and exits more precisely. For this the highlighted Switch and/ or Fakeout bars can be highly valuable.
📊 Example (M15 Entry & Exit): Entry and Exit Confirmation snapshot
📊 Example (M5 Scale-In Strategy): Scaling Entries snapshot
The annotations in this examples are added manually for illustration.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
Users are fully responsible for their trading decisions and outcomes.
200 EMA Breakout & Retest Strategy200 EMA Breakout & Retest Strategy
This script is designed for traders who rely on the 200 EMA as a key indicator for trend direction and trade setups. The strategy identifies potential buy and sell opportunities based on breakouts and subsequent retests of the 200 EMA.
How It Works
EMA Breakout Detection:
The script monitors when the price crosses and closes above or below the 200 EMA.
No signal is generated immediately upon the breakout.
Retest Confirmation:
After the breakout, the price must retrace to touch the 200 EMA.
A valid signal occurs only when the price touches the EMA and the candle closes above (for buy) or below (for sell).
Trade Signal Generation:
Once the retest is confirmed:
A Buy Signal is generated if the price closes above the 200 EMA after the retest.
A Sell Signal is generated if the price closes below the 200 EMA after the retest.
The script calculates:
Stop Loss: Placed at the low of the candle for a buy signal and at the high of the candle for a sell signal.
Take Profit: Based on a customizable Risk-Reward Ratio (default is 1:2).
Visual Indicators:
The 200 EMA is plotted on the chart for reference.
Buy/Sell signals are displayed as labels on the chart.
Stop loss and take profit levels are drawn using dotted lines.
Customization Options
EMA Length: Adjustable (default is 200).
Risk-Reward Ratio: Customizable to suit different trading styles.
Who Is This For?
This strategy is ideal for traders who:
Prefer trading with the trend using EMA-based strategies.
Look for precise entry points with confirmation from retests.
Require automated calculation of risk-reward levels.
Targets For Overlay Indicators [LuxAlgo]The Targets For Overlay Indicators is a useful utility tool able to display targets during crossings made between the price and external indicators on the user chart. Users can display a series of two targets, one for crossover events and another one for crossunder event.
Alerts are included for the occurrence of a new target as well as for reached targets.
🔶 USAGE
In order for targets to be displayed users need to select an appropriate input source from the "Source" drop-down input setting. In the example above we apply the indicator to a volatility stop.
This can also easily be done by adding the "Targets For Overlay Indicators" script on the VStop indicator directly.
Targets can help users determine the price limit where the price might start deviating from an indication given by one or multiple indicators. In the context of trading, targets can help secure profits/reduce losses of a trade, as such this tool can be useful to evaluate/determine user take profits/stop losses.
Due to these essentially being horizontal levels, they can also serve as potential support/resistances, with breakouts potentially confirming new trends.
Users might be interested in obtaining new targets once one is reached, this can be done by enabling "New Target When Reached" in the target logic setting section, resulting in more frequent targets.
Lastly, users can restrict new target creation until current ones are reached. This can result in fewer and longer-term targets, with a higher reach rate.
🔹 Examples
The indicator can be applied to many overlay indicators that naturally produce crosses with the price, such as moving average, trailing stops, bands...etc.
Users can use trailing stops such as the SuperTrend or VStop to more easily create clean targets. Do note that certain SuperTrend scripts separate the upper and lower extremities of the SuperTrend into two different plot, which cannot be used with this tool, you may use the provided SuperTrend script below to have a compatible version with our tool:
//@version=5
indicator("SuperTrend", overlay = true)
factor = input.float(3, 'Factor', minval = 0)
atrLen = input.int(10, 'ATR Length', minval = 1)
= ta.supertrend(factor, atrLen)
plot(spt, 'SuperTrend', dir != dir ? na : dir < 0 ? #089981 : #f23645, 2)
plot(spt, 'Circles', dir > dir ? #f23645 : dir < dir ? #089981 : na, 3, plot.style_circles)
Using moving averages can produce more targets than other overlay indicators.
Users can apply the tool twice when using bands or any overlay indicator returning two outputs, using crossover targets for obtaining targets using the upper band as source and crossunder targets for targets using the lower band. We can also use the Trendlines with breaks indicator as example:
🔹 Dashboard
A dashboard is displayed on the top right of the chart, displaying the amount, reach rate of targets 1/2, and total amount.
This dashboard can be useful to evaluate the selected target distances relative to the selected conditions, with a higher reach rate suggesting the distance of the targets from the price allows them to be reached.
🔶 SETTINGS
Source: Indicator source used to create targets. Targets are created when the closing price crosses the specified source.
Show Target Labels: Display target labels on the chart.
Candle Coloring: Apply candle coloring based on the most recent active target.
🔹 Target
Crossover and Crossunder targets use the same settings below:
Show Target: Determines if the target is displayed or not.
Above Price Target: If selected, will create targets above the closing price.
Wait Until Reached: When enabled will not create a new target until an existing one is reached.
New Target When Reached: Will create a new target when an existing one is reached.
Evaluate Wicks: Will use high/low prices to determine if a target is reached. Unselecting this setting will use the closing price.
Target Distance From Price: Controls the distance of a target from the price. Can be determined in currencies/points, percentages, ATR multiples, or ticks.
Opening Range & Prior Day High/Low [Gorb]Introduction:
Opening Range & Prior Day High/Low indicator is an easy to use day traders tool. This indicator automatically plots the previous days high and low, as well as drawing a box from the opening range that the user specifies in the settings. These two together can help provide an indication of market sentiment and price trends for the day. They are often used as a trading strategy for day traders.
Overview:
The Opening Range , draws a box from the high to the low of the user defined time period and is extended until the end of the trading session. Most common are the 5/15/30min opening ranges.
Prior Day High/Low , draws lines from the previous days high and low that extend across the current session. These are used as support/resistance and also a marker to see market sentiment by crossing one of these levels.
The indicator is designed for all kinds of traders, offering a simple approach to automatically plot levels for you.
Features:
All skill-level friendly presets, easy to enable with one-click
Opening Range: Allows user to choose what time the range starts and ends to measure the high & low.
Extend Range Lines: allows the user to choose when the box stops extending according to the trading session time.
Enable Opening Range Box: allows the user to choose to plot the opening range or not.
ORB Border Color: allows the user to change the box border color.
ORB Box Shade Color: allows the user to change the background of the opening range box.
ORB Line Width: allows users to chose the width of the opening range box lines.
Enable Previous Day High: allows users to enable the previous days high to be plotted.
Enable Previous Day Low: allows users to enable the previous days high to be plotted.
Previous Day High Color: allows users to choose the color for this line.
Previous Day Low Color: allows users to choose the color for this line.
All colors are changeable for the user to customize to their liking.
Usage Demonstration
In the image below, we can see a basic example of how these 3 features function.
As explained above, the opening range is customizable to meet the users needs and can be disabled with one click. Same goes for the prior day high(green) and low(red) lines. All 3 are plotted each day automatically for the user if enabled.
In the image below, we can see an example of using the opening range break and prior day high together for a trading strategy.
This is a great example of using the prior day high with the opening range to use as a day trading strategy. It provides the trader with levels to watch for price to break out from for possible trade setups.
In this next image, we can see a failed breakdown from the opening range that results in a bullish breakout.
The first move was a fake breakdown with the failed rejection on the retest of the opening range lows. This led to a breakout above the range and a confirmation bounce on the breakout retest. Price did break above the prior day high and confirmed with a retest bounce on that level as well.
In the image below, we can see how previous days levels can act as resistance to use with the opening range.
Price didn't reject the opening range low, but it did reject the prior day high for the second time. This could be used as an entry or once price breaks down out of the opening range again.
Conclusion:
We believe in providing user-friendly tools to help speed up traders technical analysis and implement easy trading strategies. The goal is to provide a user-friendly indicator to automatically draw opening ranges and previous days levels to suit the users needs and trading style.
RISK DISCLAIMER
All content, tools, scripts & education provided by Monstanzer or Gorb Algo LLC are for informational & educational purposes only. Trading is risk and most lose their money, past performance does not guarantee future results.
Bjorgum Key Levels
Key Levels Aims to capture 3 of the most significant points in price action
Breakouts
False Breakouts (Traps)
Back Checks
These 3 points alone, if properly identified, can be some of the most significant points of movement in the price history of an asset and bring significant gains to traders, if capitalized on. Here are a few examples of these setups
Breakouts
Breakouts can bring significant rallies as the market swings one sided after key levels are breached. This entry type can bring large trending runs to follow. Momentum is on your side, but the trade off is a higher entry.
False Breakouts
Also known as a bull trap or a bear trap, false breaks can lead to swift and significant reversals and potential for a large and sudden move to the opposite side. When a key level breakout fails to hold, parties entering to capitalize on the "epic breakout" can get left holding the bag forcing them to exit at a loss, which can double the force of pressure. Traps can bring swift gains from good entry prices. However, price is still in a larger trend against you so momentum is weak, so price action is susceptible to roll over.
Backchecks
Back checks are pull backs in trend that find middle ground to the 2 areas already described. Both momentum and entry price are decent, but risk is defined as a key level has flipped offering entry with stops below demand, or above supply.
Combining these 3 methods helps to diversify risk, understand trend development, and bring steady gains. This script helps to identify these points to traders with analysis of key levels, price structure, and trend direction, while providing visual signals and alerts for when they occur.
Best of luck in your coding and trading and thank you for your support
Volatility Cone Forecaster Lite [PhenLabs]📊 Volatility Cone Forecaster
Version: PineScript™v6
📌Description
The Volatility Cone Forecaster (VCF) is an advanced indicator designed to provide traders with a forward-looking perspective on market volatility. Instead of merely measuring past price fluctuations, the VCF analyzes historical volatility data to project a statistical “cone” that outlines a probable range for future price movements. Its core purpose is to contextualize the current market environment, helping traders to anticipate potential shifts from low to high volatility periods (and vice versa). By identifying whether volatility is expanding or contracting relative to historical norms, it solves the critical problem of preparing for significant market moves before they happen, offering a clear statistical edge in strategy development.
This indicator moves beyond lagging measures by employing percentile analysis to rank the current volatility state. This allows traders to understand not just what volatility is, but how significant it is compared to the recent past. The VCF is built for discretionary traders, system developers, and options strategists who need a sophisticated understanding of market dynamics to manage risk and identify high-probability opportunities.
🚀Points of Innovation
Forward-Looking Volatility Projection: Unlike standard indicators that only show historical data, the VCF projects a statistical cone of future volatility.
Percentile-Based Regime Analysis: Ranks current volatility against historical data (e.g., 90th, 75th percentiles) to provide objective context.
Automated Regime Detection: Automatically identifies and labels the market as being in a ‘High’, ‘Low’, or ‘Normal’ volatility regime.
Expansion & Contraction Signals: Clearly indicates whether volatility is currently increasing or decreasing, signaling shifts in market energy.
Integrated ATR Comparison: Plots an ATR-equivalent volatility measure to offer a familiar point of reference against the statistical model.
Dynamic Visual Modeling: The cone visualization directly on the price chart provides an intuitive guide for future expected price ranges.
🔧Core Components
Realized Volatility Engine: Calculates historical volatility using log returns over multiple user-defined lookback periods (short, medium, long) for a comprehensive view.
Percentile Analysis Module: A custom function calculates the 10th, 25th, 50th, 75th, and 90th percentiles of volatility over a long-term lookback (e.g., 252 days).
Forward Projection Calculator: Uses the calculated volatility percentiles to mathematically derive and draw the upper and lower bounds of the future volatility cone.
Volatility Regime Classifier: A logic-based system that compares current volatility to the historical percentile bands to classify the market state.
🔥Key Features
Customizable Lookback Periods: Adjust short, medium, and long-term lookbacks to fine-tune the indicator’s sensitivity to different market cycles.
Configurable Forward Projection: Set the number of days for the forward cone projection to align with your specific trading horizon.
Interactive Display Options: Toggle visibility for percentile labels, ATR levels, and regime coloring to customize the chart display.
Data-Rich Information Table: A clean, on-screen table displays all key metrics, including current volatility, percentile rank, regime, and trend.
Built-in Alert Conditions: Set alerts for critical events like volatility crossing the 90th percentile, dropping below the 10th, or switching between expansion and contraction.
🎨Visualization
Volatility Cone: Shaded bands projected onto the future price axis, representing the probable price range at different statistical confidence levels (e.g., 75th-90th percentile).
Color-Coded Volatility Line: The primary volatility plot dynamically changes color (e.g., red for high, green for low) to reflect the current volatility regime, providing instant context.
Historical Percentile Bands: Horizontal lines plotted across the indicator pane mark the key percentile levels, showing how current volatility compares to the past.
On-Chart Labels: Clear labels automatically display the current volatility reading, its percentile rank, the detected regime, and trend (Expanding/Contracting).
📖Usage Guidelines
Setting Categories
Short-term Lookback: Default: 10, Range: 5-50. Controls the most sensitive volatility calculation.
Medium-term Lookback: Default: 21, Range: 10-100. The primary input for the current volatility reading.
Long-term Lookback: Default: 63, Range: 30-252. Provides a baseline for long-term market character.
Percentile Lookback Period: Default: 252, Range: 100-1000. Defines the period for historical ranking; 252 represents one trading year.
Forward Projection Days: Default: 21, Range: 5-63. Determines how many bars into the future the cone is projected.
✅Best Use Cases
Breakout Trading: Identify periods of deep consolidation when volatility falls to low percentile ranks (e.g., below 25th) and begins to expand, signaling a potential breakout.
Mean Reversion Strategies: Target trades when volatility reaches extreme high percentile ranks (e.g., above 90th), as these periods are often unsustainable and lead to contraction.
Options Strategy: Use the cone’s projected upper and lower bounds to help select strike prices for strategies like iron condors or straddles.
Risk Management: Widen stop-losses and reduce position sizes when the indicator signals a transition into a ‘High’ volatility regime.
⚠️Limitations
Probabilistic, Not Predictive: The cone represents a statistical probability, not a guarantee of future price action. Extreme, unpredictable news events can drive prices outside the cone.
Lagging by Nature: All calculations are based on historical price data, meaning the indicator will always react to, not pre-empt, market changes.
Non-Directional: The indicator forecasts the *magnitude* of future moves, not the *direction*. It should be paired with a directional analysis tool.
💡What Makes This Unique
Forward Projection: Its primary distinction is projecting a data-driven, statistical forecast of future volatility, which standard oscillators do not do.
Contextual Analysis: It doesn’t just provide a number; it tells you what that number means through percentile ranking and automated regime classification.
🔬How It Works
1. Data Calculation:
The indicator first calculates the logarithmic returns of the asset’s price. It then computes the annualized standard deviation of these returns over short, medium, and long-term lookback periods to generate realized volatility readings.
2. Percentile Ranking:
Using a 252-day lookback, it analyzes the history of the medium-term volatility and determines the values that correspond to the 10th, 25th, 50th, 75th, and 90th percentiles. This builds a statistical map of the asset’s volatility behavior.
3. Cone Projection:
Finally, it takes these historical percentile values and projects them forward in time, calculating the potential upper and lower price bounds based on what would happen if volatility were to run at those levels over the next 21 days.
💡Note:
The Volatility Cone Forecaster is most effective on daily and weekly charts where statistical volatility models are more reliable. For lower timeframes, consider shortening the lookback periods. Always use this indicator as part of a comprehensive trading plan that includes other forms of analysis.
Block-Based Trend Breakout (YTK/DTK) – v1📌 Overview
Block Trend Breakout (YTK/DTK) is a lightweight, rule-based indicator that detects potential trend reversals or volatility bursts by tracking breakouts of key structural support/resistance levels — derived from block-wise trend patterns.
The logic is simple yet effective: if a trend has been confirmed across multiple blocks (custom-length bar groups), and the price breaks its own structural boundary, a potential reversal or volatility signal is triggered.
🟥 YTK (Uptrend Breakdown) → Price breaks below the lowest low of the most recent block in an uptrend.
🟩 DTK (Downtrend Breakout) → Price breaks above the highest high of the most recent block in a downtrend.
🔍 How It Works
Block Construction: User-defined bar groups (e.g., 6 bars on a 4H chart = 24H blocks).
Trend Validation: At least N consecutive blocks must show higher highs/lows (uptrend) or lower highs/lows (downtrend).
Breakout Test: If the current bar violates the structural limit (MR block high/low), the corresponding signal is plotted.
📉 This logic identifies weakening trends or failed momentum, often preceding reversals or volatility expansions.
⚙️ Features
Adjustable block size and trend confirmation count
Option to use only closed bars (to reduce repaint risk)
Inclusive mode for “<= / >=” logic
Visual signals:
MR Block high/low levels
Trend-colored bars
Arrows for YTK (🔻) and DTK (🔺)
Built-in alerts for automated strategies
🎯 Use Cases
Spotting fakeouts and false breakouts
Identifying trend exhaustion before reversal
Confirming structural support/resistance breaks
Visual tool for discretionary traders
Signal generator for automated systems
💬 Feedback & Contributions
This script is open-source and community-driven. We actively welcome feedback, ideas, improvements, forks, and questions.
📩 Contact for collaboration or discussion:
📧 senbrke@gmail.com
