Bollinger Band ToolkitBollinger Band Toolkit
An advanced, adaptive Bollinger Band system for traders who want more context, precision, and edge.
This indicator expands on the classic Bollinger Bands by combining statistical and volatility-based methods with modern divergence and squeeze detection tools. It helps identify volatility regimes, potential breakouts, and early momentum shifts — all within one clean overlay.
🔹 Core Features
1. Adaptive Bollinger Bands (σ + ATR)
Classic 20-period bands enhanced with an ATR-based volatility adjustment, making them more responsive to true market movement rather than just price variance.
Reduces “overreacting” during chop and avoids bands collapsing too tightly during trends.
2. %B & RSI Divergence Detection
🟢 Green dots: Positive %B divergence — price makes a lower low, but %B doesn’t confirm (bullish).
🔴 Red dots: Negative %B divergence — price makes a higher high, but %B doesn’t confirm (bearish).
✚ Red/green crosses: RSI divergence confirmation — momentum fails to confirm the price’s new extreme.
These signals highlight potential reversal or slowdown zones that are often invisible to the naked eye.
3. Bollinger Band Squeeze (with Volume Filter)
Yellow squares (■) show periods when Bollinger Bands are at their narrowest relative to recent history.
Volume confirmation ensures the squeeze only triggers when both volatility and participation contract.
Often marks the “calm before the storm” — breakout potential zones.
4. Multi-Timeframe Breakout Markers
Optionally displays breakouts from higher or lower timeframes using different colors/symbols.
Lets you see when a higher timeframe band break aligns with your current chart — a strong trend continuation signal.
5. Dual- and Triple-Band Visualization (±1σ, ±2σ, ±3σ)
Optional inner (±1σ) and outer (±3σ) bands provide a layered volatility map:
Price holding between ±1σ → stable range / mean-reverting behavior
Price riding near ±2σ → trending phase, sustained momentum
Price touching or exceeding ±3σ → volatility expansion or exhaustion zone
This triple-band layout visually distinguishes normal movement from statistical extremes, helping you read when the market is balanced, expanding, or approaching its limits.
⚙️ Inputs & Customization
Choose band type (SMA/EMA/SMMA/WMA/VWMA)
Adjust deviation multiplier (σ) and ATR multiplier
Toggle individual features (divergence dots, squeeze markers, inner bands, etc.)
Multi-timeframe and colour controls for advanced users
🧠 How to Use
Watch for squeeze markers followed by a breakout bar beyond ±2σ → volatility expansion signal.
Combine divergence dots with RSI or price structure to anticipate slowdowns or reversals.
Confirm direction using multi-timeframe breakouts and volume expansion.
💬 Why It Works
This toolkit transforms qualitative chart reading (tight bands, hidden divergence) into quantitative, testable conditions — giving you objective insights that can be backtested, coded, or simply trusted in live setups.
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Long-Term Capitulation Oscillator (LTCO, Diodato 2019)Description:
This script is a faithful implementation of the Long-Term Capitulation Oscillator (LTCO) from Chris Diodato's award-winning 2019 CMT paper, "Making The Most Of Panic". It is a strategic, market-wide breadth and volume oscillator designed to identify major, long-term market bottoms.
What It Is
The LTCO combines long-term moving averages (34, 55, 89, 144, and 233-day) of NYSE advancing/declining issues and up/down volume. It uses a unique "average of averages" method to create a responsive yet strategic long-term indicator. This script plots the raw, un-normalized value as described in the paper, which typically oscillates in the 700-1100 range.
How to Interpret
The LTCO is a strategic tool for identifying potentially significant market turning points.
Extremely Low Readings: Suggest that a long-term period of selling has reached a point of exhaustion, potentially marking a major bear market low or a generational buying opportunity. The paper backtested various thresholds, with values below 950, 925, and especially 875 showing historically strong forward returns over the next 6-24 months.
Overbought/Oversold Lines: The script includes customizable overbought/oversold lines to help you visually identify these critical zones.
Settings
Data Sources: Allows toggling the use of "Unchanged" issues/volume data for the calculation.
Thresholds: You can set the overbought and oversold levels to your preference, based on the paper's findings or your own research.
Ultimate Gold Long Indicator - Execução Final v26.1 By M.LolasUltimate Gold Long Indicator - Execução Final v26.1 By M.Lolas
Central indicator for by long in 15m time frame 20x.
“Backtested indicator for an aggressive 15-minute, 20×-leverage strategy, packed with capital-protection features.”
By M.Lolas
15m Continuation — prev → new (v6, styled)This indicator gives you backtested statistics on how often reversals vs continuations occur on 15 minute candles on any pair you want to trade. This is great for 15m binary markets like on Polymarket.
Balanced Big Wicks (50/50) HighlighterThis open-source indicator highlights candles with balanced long wicks (50/50 style)—that is, candles where both upper and lower shadows are each at least 30–60% of the full range and within ~8% of each other, while retaining a substantial body. This specific structure often reflects indecision or liquidity sweeps and can precede strong breakout moves.
How It Works (Inputs and Logic)
Min wick % (each side): 30–60% of candle range
Max body %: up to 60% of range (preserves strong body presence)
Equality tolerance: wicks within 8% of each other
ATR filter (multiples of ATR14): ensures only significant-range candles are flagged
When a “50/50” candle forms, it’s visually colored and labeled; audibly alertable.
How to Use It
Long setup: price closes above the wick-high → potential long entry (SL below wick-low, TP = 1:1).
Short setup: price closes below wick-low → potential short entry (SL above wick-high, TP = 1:1).
Especially effective on 5–15 minute scalping charts when aligned with high-volume sessions or HTF trend context.
Why This Indicator Is Unique
Unlike standard wick or doji voters, this script specifically filters for candles with a strong body and symmetrical wicks, paired with a range filter, reducing noise significantly.
Important Notes
No unrealistic claims: backtested setups indicate high occurrence of clean breakouts, though performance depends on market structure.
Script built responsibly: uses real-time calculations only, no future-data lookahead.
Visuals on the published chart reflect default input values exactly.
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
EZSignals SuperTrend EMAA technical indicator, even with high accuracy, must be rigorously backtested to assess its stability across various market conditions. Its effectiveness depends not only on the algorithm itself but also on how it is integrated into the overall trading system. Proper usage, combined with risk management and a solid understanding of market context, is essential to convert theoretical accuracy into practical trading advantage.
Daily High/Low Close Breakout - GOLD### **Daily High/Low Close Breakout Indicator**
This indicator is a powerful tool for identifying potential breakout opportunities based on the previous day's price action. It's built on a unique time-based logic that defines key support and resistance levels for the trading day.
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### **How the Indicator Works**
The indicator operates in two main phases:
1. **Calculation Period (00:00 to 16:30 Tehran Time):** The indicator first observes the price action from the start of the day until 16:30. During this time, it records the highest and lowest **closing prices** of all candles. The chart background is shaded gray to visually mark this period.
2. **Trading Period (16:30 to 16:30 the next day):** At 16:30, the highest and lowest close levels are finalized and drawn as horizontal lines. These levels then become the primary breakout zones for the next 24 hours. The indicator will generate signals whenever the price crosses these lines.
---
### **Trading Signals**
The indicator uses a simple and effective crossover logic for its signals:
* **BUY Signal:** A signal is generated when a candle's closing price **crosses above** the high close line.
* **SELL Signal:** A signal is generated when a candle's closing price **crosses below** the low close line.
---
### **Important Usage Guidelines**
For optimal performance, please follow these specific recommendations:
* **Timeframe:** This indicator is designed and optimized to be used exclusively on the **15-minute timeframe**. Using it on other timeframes may produce inconsistent or unreliable results.
* **Primary Asset:** The logic for this indicator was developed and backtested primarily for **Gold (XAUUSD)**. Its performance and win rate have been observed to be the most consistent on this asset.
* **Asset Restriction:** It is strongly recommended to **avoid using this indicator on other currency pairs or assets**, as it has not been optimized for their specific market behavior.
---
### **Disclaimer**
*This indicator is provided for informational and educational purposes only. It is not financial advice. Past performance is not a guarantee of future results. All trading decisions should be based on your own research and risk analysis. Always use proper risk management.*
Refined MA + Engulfing (Strategy-Equivalent Trigger)I would like to start by saying that this indicator was put together using ChatGPT, some past trades from myself and some backtested trades, and from my time as a student in Wallstreet Academy under Cue Banks.
I am not profitable yet. I am too jumpy and blow accounts. I'm hoping this indicator (and it's strategy twin), with the help of some alerts, can help me spend less time on the charts, so that I'm not tempted to press buttons as much.
It does fire quite a bit. It can be adjusted, I believe, to trigger more or less (open the script, cooldown bars(x) <== change the X to whatever. 5 minute intervals so 1 is 5.
With that being said, there are times that this indicator has shown to trigger and I ask, "Why?".
I just want to help myself and others, and maybe make some decent\cool stuff along the way. Enjoy
KR
The Kyber Cell's – TTM Wave CThe Kyber Cell’s Wave C – TTM Squeeze Macro Bias & Structural Filter
⸻
1. Introduction
Wave C is the strategic compass in the TTM Squeeze Wave system — the final layer that helps you align with the larger trend or macro context. While Wave A delivers momentum bursts and Wave B confirms active trend direction, Wave C filters trades through a broader lens, helping you avoid taking strong intraday setups that go against the dominant structure.
Wave C is designed to act as your macro bias validator — filtering out trades that contradict higher-timeframe flows or major moving average slopes. When all three waves line up, you’re no longer just reacting to signals — you’re trading with intention and structure. When in doubt, zoom out and that is what Wave C gives you.
⸻
2. Core Concept and Calculation
Wave C is built to measure high-level trend bias, either on the current chart timeframe or derived from a higher timeframe (HTF). Its logic is based on one or more of the following structural tools:
• Long-term EMA slope (e.g., 55, 89, or 200 EMA)
• HTF VWAP positioning (price above or below)
• Long-period HMA slope (e.g., HMA 144 or HMA 233)
• Directional bias from HTF TTM Squeeze or MTF trend engine
Unlike Wave A and B, which may fluctuate during normal price swings, Wave C changes more slowly. That’s the point — it gives a “big picture” backdrop against which all lower-level signals should be evaluated. It reduces false positives and helps you wait for trades in the direction of the broader trend.
⸻
3. Visual Output and Color Logic
Wave C uses a simple and deliberate color scheme to communicate macro alignment:
• Green: Bullish macro structure
• Red: Bearish macro structure
• Gray: Neutral, indecisive, or flat macro trend
This muted but firm logic encourages patient, structured trading. The goal isn’t to trigger trades directly from Wave C, but to filter out trades that contradict market posture.
• When Wave C is Green, you ideally want Wave B to be blue and Wave A to turn cyan before going long.
• When Wave C is Red, you look for Wave B to be red and Wave A to turn bright red before shorting.
• If Wave C is Gray, it may signal choppy, indecisive structure — use caution or reduce trade size.
⸻
4. Ideal Use Case
Wave C functions as your global bias filter:
1. Set your directional bias for the session or week.
2. Only take trades that agree with Wave C direction.
3. When all waves align, trade with size and confidence.
4. When Wave C disagrees, wait or downshift your trade plan.
This makes Wave C especially valuable for swing traders, position traders, or intraday traders who want to anchor their entries within a broader trend.
⸻
5. Configuration and Customization
Wave C is built with advanced users in mind, and its configuration allows multiple structural methods:
• EMA Slope Method: Set EMA length and threshold angle
• HTF Source Method: Request HTF data for squeeze trend, VWAP, or Wave B analog
• HMA Trend Filter: Longer-term smoothing to detect sustained directional flow
• Color Preferences: Customize green/red/gray scheme as needed
This flexibility allows you to tailor Wave C to your strategy — whether you’re anchoring to a Daily EMA while scalping the 5-minute chart, or aligning swing entries with the Weekly VWAP.
⸻
6. Alerts and Add-ons
Although Wave C isn’t typically used for alerts, it can be incorporated into confluence-based alert stacks. For example:
• Alert only when Wave C = Green, Wave B = Blue, and Wave A = Rising
• Alert on macro flip (e.g., Green → Red) as a possible regime change
• Alert when macro bias agrees with MTF Squeeze Panel bias
These setups are more advanced but help automate disciplined trade selection.
⸻
7. Disclaimer
This indicator is for educational and research purposes only. It is not trading advice. Wave C is most effective when used in conjunction with Wave A, Wave B, and other structural context. All trades should be executed with proper risk management and backtested methodology.
Capital Risk OptimizerCapital Risk Optimizer 🛡️
The Capital Risk Optimizer is an educational tool designed to help traders study capital efficiency, risk management, and scaling strategies when using leverage.
This script calculates and visualizes essential metrics for managing leveraged positions, including:
Entry Price – The current market price.
Stop Loss Level – Automatically derived using the 30-bar lowest low minus 1 ATR (default: 14-period ATR), an approach designed to create a dynamic, volatility-adjusted stop loss.
Stop Loss Distance (%) – The percentage distance between entry and stop.
Maximum Safe Leverage – The highest leverage allowable without risking liquidation before your stop is reached.
Margin Required – The amount of collateral necessary to support the desired position size at the calculated leverage.
Position Size – The configurable notional value of your trade.
These outputs are presented in a clean, customizable table overlay so you can quickly understand how position sizing, volatility, and leverage interact.
By default, the script uses a 14-period ATR combined with the lowest low of the past 30 bars, providing an optimal balance between sensitivity and noise for defining stop placement. This methodology helps traders account for market volatility in a systematic way.
The Capital Risk Optimizer is particularly useful as a portfolio management tool, supporting traders who want to study how to scale into positions using risk-adjusted sizing and capital efficiency principles. It pairs best with backtested strategies, and does not directly produce signals of any kind.
How to Use:
Set your desired position size.
Adjust the ATR and lookback settings to fine-tune stop loss placement.
Study the resulting leverage and margin requirements in real time.
Use this information to simulate and visualize potential trade scenarios and capital allocation models.
Disclaimer:
This script is provided for educational and informational purposes only. It does not constitute financial advice and should not be relied upon for live trading decisions. Always do your own research and consult with a qualified professional before making any trading or investment decisions.
Hull For LoopHull For Loop is a sophisticated trend-following indicator that combines the smoothness of Hull Moving Averages with advanced trend detection algorithms and robust confirmation mechanisms.
## How It Works
At its foundation, Hull For Loop employs a custom-calculated Hull Moving Average using weighted moving average for-loops to achieve optimal smoothness and responsiveness. The system operates through three distinct layers: Hull MA calculation with adjustable smoothing multipliers, advanced trend detection using ATR-based slope thresholds, and multi-bar trend confirmation to filter false breakouts.
The logic flow is elegantly simple yet powerful:
- Hull Calculation combines half-period and full-period weighted moving averages, then applies square-root smoothing for enhanced responsiveness
- Trend Detection analyzes Hull slope against dynamic ATR-based thresholds, classifying market direction as bullish, bearish, or neutral
- Confirmation System requires sustained directional movement across multiple bars before triggering signals, dramatically reducing whipsaws
When Hull slope exceeds the positive threshold, bullish conditions emerge. When it falls below the negative threshold, bearish momentum takes control. The multi-bar confirmation ensures only sustained moves generate actionable signals, making this system ideal for trend-following strategies across volatile markets.
The advanced slope analysis mechanism adapts to market volatility through ATR integration, ensuring sensitivity remains optimal during both high-volatility breakouts and low-volatility consolidations, delivering consistent performance across varying market conditions.
## Features
- Custom Hull Implementation : For-loop calculations for precise weighted moving average control and enhanced smoothness
- Dynamic Trend Detection : ATR-based slope analysis automatically adjusts sensitivity to market volatility conditions
- Multi-Bar Confirmation : Configurable confirmation periods (1-5 bars) eliminate false signals and reduce trading noise
- Advanced Visual System : Dynamic color coding, optional arrows, and statistics table for comprehensive market visualization
- Optimized for Bitcoin : Extensively backtested parameters delivering 128.58% returns with 55% drawdown reduction versus buy-and-hold
- Flexible Configuration : Hull length (1-200), smoothing multiplier (0.1-3.0), sensitivity (1-10), and confirmation settings
- Professional Alerts : Comprehensive alert system for trend changes and entry signals with strength percentages
- Real-time Analytics : Optional statistics table displaying trend direction, strength, Hull value, and current price
## Signal Generation
Hull For Loop generates multiple signal types for comprehensive trend analysis and precise entry/exit timing:
Primary Signals : Confirmed trend changes from bullish to bearish or vice versa - highest probability directional moves
Entry Signals : Initial trend confirmation after multi-bar validation - optimal position entry points
Strength Indicators : Real-time trend strength percentages based on directional momentum over lookback periods
Visual Confirmations : Color-coded Hull line providing instant visual trend status
The confirmation system adds crucial reliability - signals must persist through the specified confirmation period before activation, ensuring only sustained moves trigger trading decisions rather than temporary price fluctuations.
## Visual Implementation
The indicator employs sophisticated visual elements for immediate trend comprehension and professional chart presentation:
- Dynamic Hull Line : Color-changing line (green/red/gray) with configurable width reflecting current trend status
- Optional Directional Arrows : Triangle markers below/above bars marking confirmed trend changes and entry points (disabled by default)
- Statistics Panel : Optional real-time table showing trend direction, strength percentage, Hull value, and current price
- Professional Color Scheme : Customizable bullish (green), bearish (red), and neutral (gray) color system
## Alerts
Hull For Loop includes comprehensive alert conditions for automated trading integration:
- Hull Trend Change - Confirmed trend direction shift with strength percentage
- Hull BUY Signal - Bullish trend confirmation with price and strength data
- Hull SELL Signal - Bearish trend confirmation with price and strength data
- Alert Frequency - Once per bar to prevent spam while maintaining accuracy
All alerts include contextual information: trend direction, current price, and trend strength percentage for informed decision-making.
## Use Cases
Trend Following : Optimized for sustained directional moves with superior drawdown protection compared to buy-and-hold strategies
Swing Trading : Multi-bar confirmation eliminates false breakouts while capturing significant trend changes
Position Trading : Smooth Hull calculation provides stable signals for longer-term directional positioning
Risk Management : Advanced confirmation system dramatically reduces whipsaw trades and false signals
Crypto Trading : Specifically optimized for Bitcoin with parameters delivering exceptional historical performance
The system demonstrates exceptional performance across volatile assets.
Opening Range Breakout (15 mins Range)Take the guesswork out of your trading with the Opening Range Breakout Pro script. This tool automatically marks the high and low of the first 15 minutes of the NYSE session, then highlights the first candle to break out above or below this range—removing ambiguity from your trade entries.
The opening range is one of the most powerful concepts in day trading. By identifying the price range set during the market’s first minutes, you gain a clear framework for your trades. When price breaks out above the range, it often signals a strong bullish move; a break below signals bearish momentum. This script visually marks these moments, so you can react quickly and confidently.
Why use Opening Range Breakout Pro?
• Defined Entry and Exit Points: The script gives you clear, objective breakout levels—no more guessing when to enter a trade.
• Removes Emotional Trading: With visual cues for breakouts, you can follow a systematic approach and avoid hesitation or FOMO.
• Backtested, Time-Tested Strategy: The opening range breakout has been used by professional traders for decades to capture early trends and maximize profit potential.
• High Reward Potential: By capitalizing on the volatility and momentum of the opening session, traders often catch the best moves of the day.
• Easy to Use: Just add to your chart—no configuration needed. The script works on any NYSE stock, on a 5-minute chart.
How it works:
• Draws the opening 15-minute high and low as orange lines.
• Labels the range prices for quick reference.
• Marks the first candle to close above the range with an orange ▲, and the first to close below with an orange ▼.
Take control of your trading day, remove uncertainty, and trade with confidence—just like the pros.
Trend Scanner ProTrend Scanner Pro, Robust Trend Direction and Strength Estimator
Trend Scanner Pro is designed to evaluate the current market trend with maximum robustness, providing both direction and strength based on statistically reliable data.
This indicator builds upon the core logic of a previous script I developed, called Best SMA Finder. While the original script focused on identifying the most profitable SMA length based on backtested trade performance, Trend Scanner Pro takes that foundation further to serve a different purpose: analyzing and quantifying the actual trend state in real time.
It begins by testing hundreds of SMA lengths, from 10 to 1000 periods. Each one is scored using a custom robustness formula that combines profit factor, number of trades, and win rate. Only SMAs with a sufficient number of trades are retained, ensuring statistical validity and avoiding curve fitting.
The SMA with the highest robustness score is selected as the dynamic reference point. The script then calculates how far the price deviates from it using rolling standard deviation, assigning a trend strength score from -5 (strong bearish) to +5 (strong bullish), with 0 as neutral.
Two detection modes are available:
Slope mode, based on SMA slope reversals
Bias mode, based on directional shifts relative to deviation zones
Optional features:
Deviation bands for visual structure
Candle coloring to reflect trend strength
Compact table showing real-time trend status
This tool is intended for traders who want an adaptive, objective, and statistically grounded assessment of market trend conditions.
Candle Range Trading (CRT) with Alerts
📌 Description:
The Candle Range Trading (CRT) indicator identifies potential reversal or continuation setups based on specific two-candle price action patterns.
It analyzes pairs of candles to detect Bullish or Bearish CRT patterns and provides visual signals (triangles) and alert notifications to support scalp or swing trading strategies.
🔍 How It Works:
🔻 Bearish CRT Pattern:
Candle 1 is bullish
Candle 2 is bearish
Candle 2's high > Candle 1's high
Candle 2 closes within Candle 1’s range
🔺 Red triangle above candle
🔺 Bullish CRT Pattern:
Candle 1 is bearish
Candle 2 is bullish
Candle 2's low < Candle 1's low
Candle 2 closes within Candle 1’s range
🔻 Green triangle below candle
📈 Visual Features:
🔺 Red triangle = Bearish CRT
🔻 Green triangle = Bullish CRT
📏 Optional box showing CRT High and CRT Low
🔔 Built-in Alerts:
Bullish CRT Alert: "Bullish CRT Pattern Detected"
Bearish CRT Alert: "Bearish CRT Pattern Detected"
Set alerts to get notified instantly when a pattern is detected.
⚠️ Note:
Use in conjunction with trend filters, support/resistance, or volume for best results.
Ideal for scalping or short-term trades.
Avoid trading in choppy or low-volume markets.
⚠️ Disclaimer:
This script was generated with the assistance of ChatGPT by OpenAI and is intended for educational and informational purposes only.
All strategies, alerts, and signals derived from this indicator should be thoroughly backtested and validated before using in live trading.
Trading involves substantial risk, and past performance is not indicative of future results. The author and ChatGPT bear no responsibility for any trading losses or financial decisions made using this script.
Users are solely responsible for the risks associated with their trading actions. Always apply proper risk management and perform your own due diligence before making any financial decisions.
[blackcat] L1 Net Volume DifferenceOVERVIEW
The L1 Net Volume Difference indicator serves as an advanced analytical tool designed to provide traders with deep insights into market sentiment by examining the differential between buying and selling volumes over precise timeframes. By leveraging these volume dynamics, it helps identify trends and potential reversal points more accurately, thereby supporting well-informed decision-making processes. The key focus lies in dissecting intraday changes that reflect short-term market behavior, offering critical input for both swing and day traders alike. 📊
Key benefits encompass:
• Precise calculation of net volume differences grounded in real-time data.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by dynamic volume shifts.
TECHNICAL ANALYSIS COMPONENTS
📉 Volume Accumulation Mechanisms:
Monitors cumulative buy/sell volumes derived from comparative closing prices.
Periodically resets accumulation counters aligning with predefined intervals (e.g., 5-minute bars).
Facilitates identification of directional biases reflecting underlying market forces accurately.
🕵️♂️ Sentiment Detection Algorithms:
Employs proprietary logic distinguishing between bullish/bearish sentiments dynamically.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
Supports adaptive thresholds adjusting sensitivities based on changing market conditions flexibly.
🎯 Dynamic Signal Generation:
Detects transitions indicating dominance shifts between buyers/sellers promptly.
Triggers timely alerts enabling swift reactions to evolving market dynamics effectively.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages along with standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time net volume markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between net volume readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Reset Interval: Governs responsiveness versus stability balancing sensitivity/stability.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights about volume-based trading methodologies! ✨
[blackcat] L2 Z-Score of PriceOVERVIEW
The L2 Z-Score of Price indicator offers traders an insightful perspective into how current prices diverge from their historical norms through advanced statistical measures. By leveraging Z-scores, it provides a robust framework for identifying potential reversals in financial markets. The Z-score quantifies the number of standard deviations that a data point lies away from the mean, thus serving as a critical metric for recognizing overbought or oversold conditions. 🎯
Key benefits encompass:
• Precise calculation of Z-scores reflecting true price deviations.
• Interactive plotting features enhancing visual clarity.
• Real-time generation of buy/sell signals based on crossover events.
STATISTICAL ANALYSIS COMPONENTS
📉 Mean Calculation:
Utilizes Simple Moving Averages (SMAs) to establish baseline price references.
Provides smooth representations filtering short-term noise preserving long-term trends.
Fundamental for deriving subsequent deviation metrics accurately.
📈 Standard Deviation Measurement:
Quantifies dispersion around established means revealing underlying variability.
Crucial for assessing potential volatility levels dynamically adapting strategies accordingly.
Facilitates precise Z-score derivations ensuring statistical rigor.
🕵️♂️ Z-SCORE DETECTION:
Measures standardized distances indicating relative positions within distributions.
Helps pinpoint extreme conditions signaling impending reversals proactively.
Enables early identification of trend exhaustion phases prompting timely actions.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Integrates SMAs along with standardized deviation formulas generating precise Z-scores.
Employs Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
🖱️ User Interface Elements:
Dedicated plots displaying real-time Z-score markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between Z-score readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Length: Governs responsiveness versus smoothing trade-offs balancing sensitivity/stability.
Price Source: Dictates primary data series driving Z-score computations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
[blackcat] L3 Mean Reversion ATR Stop Loss OVERVIEW
The L3 Mean Reversion ATR Stop Loss indicator is meticulously crafted to empower traders by offering statistically-driven stop-loss levels that adapt seamlessly to evolving market dynamics. By harmoniously blending mean reversion concepts with Advanced True Range (ATR) metrics, it delivers a robust framework for managing risks more effectively. 🌐 The primary objective is to furnish traders with intelligent exit points grounded in both short-term volatility assessments and long-term trend evaluations.
Key highlights encompass:
• Dynamic calculation of Z-scores to evaluate deviations from established means
• Adaptive stop-loss pricing leveraging real-time ATR measurements
• Clear visual cues enabling swift decision-making processes
TECHNICAL ANALYSIS COMPONENTS
📉 Z-SCORE CALCULATION
Measures how many standard deviations an asset's current price lies away from its average
Facilitates identification of extreme conditions indicative of impending reversals
Utilizes simple moving averages and standard deviation computations
📊 STANDARD DEVIATION MEASUREMENT
Quantifies dispersion of closing prices around the mean
Provides insights into underlying price distribution characteristics
Crucial for assessing potential volatility levels accurately
🕵️♂️ ADAPTIVE STOP-LOSS DETECTION
Employs ATR as a proxy for prevailing market volatility
Modulates stop-loss placements dynamically responding to shifting trends
Ensures consistent adherence to predetermined risk management protocols
INDICATOR FUNCTIONALITY
🔢 Core Algorithms
Integrate Smooth Moving Averages (SMAs) alongside standardized deviation formulas
Generate precise Z-scores reflecting true price deviations
Leverage ATR-derived multipliers for fine-grained stop-loss adjustments
🖱️ User Interface Elements
Interactive plots displaying real-time stop-loss markers
Context-sensitive color coding enhancing readability
Background shading indicating proximity to stop-level activations
STRATEGY IMPLEMENTATION
✅ Entry Conditions
Confirm bullish/bearish setups validated through multiple confirmatory signals
Ensure alignment between Z-score readings and broader trend directions
Validate entry decisions considering concurrent market sentiment factors
🚫 Exit Mechanisms
Trigger exits upon hitting predefined ATR-based stop-loss thresholds
Monitor continuous breaches signifying potential trend reversals
Execute partial/total closes contingent upon cumulative loss limits
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines
Period Length: Governs responsiveness versus smoothing trade-offs
ATR Length: Dictates the temporal scope for volatility analysis
Stop Loss ATR Multiplier: Tunes sensitivity towards stop-trigger activations
💬 Customization Recommendations
Commence with baseline defaults; iteratively refine parameters
Evaluate impacts independently prior to combined adjustments
Prioritize minimizing erroneous trigger occurrences first
Sustain balanced risk-reward profiles irrespective of chosen settings
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques
Enforce strict compliance with pre-defined maximum leverage constraints
Mandatorily apply trailing stop-loss orders conforming to script outputs
Allocate positions proportionately relative to available capital reserves
Conduct periodic reviews gauging strategy effectiveness rigorously
⚠️ Potential Pitfalls & Solutions
Address frequent violations arising during heightened volatility phases
Manage false alerts warranting manual interventions judiciously
Prepare contingency plans mitigating margin call possibilities
Continuously assess automated system reliability amidst fluctuating conditions
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics
Assess win percentages consistently across diverse trading instruments
Calculate average profit ratios per successful execution
Measure peak drawdown durations alongside associated magnitudes
Analyze signal generation frequencies revealing hidden patterns
📈 Historical Data Analysis Tools
Maintain comprehensive records capturing every triggered event
Compare realized profits/losses against backtested simulations
Identify recurrent systematic errors demanding corrective actions
Implement iterative refinements bolstering overall efficacy steadily
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges
Unpredictable behaviors emerging within thinly traded markets
Latency issues manifesting during abrupt price fluctuations
Overfitted models yielding suboptimal results post-extensive tuning
Inaccuracies stemming from incomplete or delayed data inputs
💡 Effective Resolution Pathways
Exclude low-liquidity assets prone to erratic movements
Introduce buffer intervals safeguarding major news/event impacts
Limit ongoing optimization attempts preventing model degradation
Verify seamless connectivity ensuring uninterrupted data flows
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
THANKS
A heartfelt acknowledgment extends to all developers contributing invaluable insights about adaptive stop-loss strategies using statistical measures! ✨
ICT Judas + Silver Bullet🔰 ICT Judas + Silver Bullet Indicator (SMC-based)
Built for Prop Firm and High Win Rate Intraday Traders
This indicator identifies key institutional setups from Inner Circle Trader (ICT) and Smart Money Concepts (SMC) strategies, optimized for XAUUSD, EURUSD, and other high-volume pairs on the 5-minute chart.
📌 Core Features:
✅ Asian Range Box (02:00–08:00 SGT) – used as manipulation anchor
✅ London Killzone (14:00–16:00 SGT) – Judas Swing detection
✅ New York Killzone (22:30–23:30 SGT) – Silver Bullet setups
✅ Automatic Fair Value Gap (FVG) detection
✅ Liquidity sweep detection based on 20-bar EQH/EQL
✅ Entry + Stop Loss + Take Profit visualization with adjustable RR
✅ Alerts for Judas and Silver setups
✅ Perfect for prop firm scalping and intraday swing logic
🛠️ How It Works:
- Judas Swing: triggers when liquidity above the Asian high is swept during London Killzone
- Silver Bullet: triggers when liquidity below recent lows is swept during NY Killzone
- Entry shown via circle, SL and TP lines based on user-defined RR and stop-loss pip distance
- Designed to be paired with SMC/ICT OB/FVG confirmation entries
⚙️ Settings:
- Adjustable session times
- Toggle FVG display
- Set RR and SL pips to match prop firm rules
- Compatible with alert webhooks for Telegram
🕰️ Note:
All times are fixed to **SGT (GMT+8)**. If you're in another timezone, adjust your TradingView timezone accordingly or update the session inputs manually during Daylight Saving Time changes.
🔔 Alert-Ready:
Use alerts for live signals and pair with webhooks for automation.
🔍 Recommended Pairings:
XAUUSD, EURUSD, GBPUSD, NAS100 on M5 chart
📈 Win Rate Potential:
Backtested with high-probability setups aligned with prop firm daily goals. Best used with strict discipline and 1-2 setups per day.
—
Built with ❤️ by a trader, for traders looking for precision-based executions using ICT logic.
Strategie Bollinger Bands buy & sellMiddle Band (Basis): Calculated using a Simple Moving Average (SMA) over a user-defined period.
Upper Band: The middle band plus the standard deviation of the price multiplied by a user-defined multiplier.
Lower Band: The middle band minus the standard deviation of the price multiplied by the same multiplier.
User Inputs:
Length: The number of periods used for the SMA and standard deviation (default: 20).
Deviation: The multiplier for the standard deviation to calculate the upper and lower bands (default: 2.0).
Buy and Sell Signals:
Buy Signal: Generated when the price crosses above the lower band, indicating a potential oversold condition.
Sell Signal: Generated when the price crosses below the upper band, indicating a potential overbought condition.
Visual Markers:
Buy Signals: Displayed below the price bars as green labels with the text "BUY."
Sell Signals: Displayed above the price bars as red labels with the text "SELL."
The Bollinger Bands (upper, middle, and lower) are plotted directly on the price chart for easy visualization.
How to Use the Script:
Customize Parameters:
Modify the length and deviation inputs to adapt to different market conditions or timeframes.
Interpret Signals:
A BUY signal indicates a possible reversal or upward movement from the lower band.
A SELL signal suggests a potential price decline from the upper band.
Combine with Other Indicators:
While effective in certain conditions, this strategy performs better when combined with other technical tools, such as RSI or MACD, to confirm trends and avoid false signals.
Limitations:
This script assumes that price will revert to the mean, which may not hold during strong trends or highly volatile conditions.
It is not a standalone trading system and should be backtested and optimized before applying to real trading.
Dynamic Autocorrelation Visualizer (YavuzAkbay)The Dynamic Autocorrelation Visualizer (DAV) is a specialized indicator that analyzes and displays the autocorrelation of closing prices over multiple time lags. The autocorrelation function is a well-established economic calculation that measures how past price movements correlate with current prices at various intervals. This indicator implements this function to provide traders with insights into how these correlations evolve over time, enabling them to identify shifts in market behavior and trends.
Key Features and Functionality
1. Input Parameters:
Max Lag: This parameter determines the maximum number of lags for which the autocorrelation will be calculated. By default, it is set to 10, allowing traders to observe the correlation from the most recent price up to 10 periods back.
Calculation Period: The period over which the autocorrelation is calculated, set by default to 50. This setting allows users to adapt the analysis to different time frames depending on their trading strategies.
2. Autocorrelation Calculation:
The DAV calculates the average closing price over the specified period using the Simple Moving Average (SMA). This average serves as a reference point for measuring deviations in price behavior.
It then computes the denominator for the autocorrelation formula, which is the sum of the squared differences between each closing price and the average price. This normalization ensures that the autocorrelation values are meaningful and statistically valid.
For each specified lag (from 0 to max_lag - 1), the indicator calculates the numerator by summing the product of deviations from the mean for both the current and lagged prices. The autocorrelation value for each lag is then derived by dividing the numerator by the denominator, producing a set of autocorrelation values that reflect the strength and direction of price relationships over time.
3. Visualization:
The results for each lag's autocorrelation are plotted as individual lines on the chart, each differentiated by color to represent different lag periods.
A zero line is drawn as a reference, helping traders easily identify when autocorrelation values cross from positive to negative or vice versa.
The color gradient from the brightest blue (for lag 1) to darker shades indicates the relative strength of the autocorrelation for each lag, providing an immediate visual cue for analysis.
Indicator is Useful for
Seeing how correlation patterns evolve
Identifying periods where the market changes its behavior
Spotting when certain lag patterns become more or less significant
How to Use the DAV Indicator
Before using the indicator, it should be backtested on the chart and the mechanics should be learned. In general, if all lags of the indicator are above 0, it means that the trend is continuing. When the lags start to fall below 0 one by one, it means a trend reversal or instability. The indicator is in a sense a 90 degree freeze trace of the Autocorrelation indicator that I have also integrated into Tradingview (available in my profile), so it may be more understandable if used in conjunction with this indicator.
[TTI] High Volume Close (HVC) Setup📜 ––––HISTORY & CREDITS––––
The High Volume Close (HVC) Setup is a specialised indicator designed for the TradingView platform used to identify specific bar. This tool was developed with the objective of identifying a technical pattern that trades have claimed is significant trading opportunities through a unique blend of volume analysis and price action strategies. It is based on the premise that high-volume bars, when combined with specific price action criteria, can signal key market movements.
The HVC is applicable both for swing and longer term trading and as a technical tool it can be used by traders of any asset type (stocks, ETF, crypto, forex etc).
🦄 –––UNIQUENESS–––
The uniqueness of the HVC Setup lies in its flexibility to determine an important price level based on historically important bar. The idea is to identify significant bars (e.g. those who have created the HIGHEST VOLUME: Ever, Yearly, Quarterly and meet additional criteria from the settings) and plot on the chart the close on that day as a significant level as well as theoretical stop loss and target levels. This approach allows traders to discern high volume bars that are contextually significant — a method not commonly found in standard trading tools.
🎯 ––––WHAT IT DOES––––
The HVC Setup indicator performs a series of calculations to identify high volume close bars/bar (HVC bars) based on the user requirements.
These bars are determined based on the highest volume recorded within a user-inputs:
👉 Period (Ever, Yearly, Quarterly) and must meet additional criteria such as:
👉 a minimum percentage Price Change (change is calculated based on a close/close) and
👉 specific Closing Range requirements for the HVC da.
The theory is that this is a significant bar that is important to know where it is on the chart.
The script includes a comparative analysis of the HVC bar's price against historical price highs (all-time, yearly, quarterly), which provides further context and significance to the identified bars. All of these USER input requirement are then taken into account as a condition to identity the High Volume Close Bar (HVC).
The visual representation includes color-coded bar (default is yellow) and lines to delineate these key trading signals. It then draws a blue line for the place where the close ofthe bar is, a red line that would signify a stop loss and 2 target profit levels equal to 2R and 3R of the risked level (close-stop loss). Additional lines can be turned on/off with their coresponding checkboxes in the settings.
If the user chooses "Ever" for Period - the script will look at the first available bar ever in Tradingview - this is generally the IPO bar;
If the users chooses "Yearly" - the script would look at the highest available bar for a completed year;
If the users chooses "Quarterly" - it would do the same for the quarter. (works on daily timeframe only);
While we have not backtested the performance of the script, this methodology has been widely publicised.
🛠️ ––––HOW TO USE IT––––
To utilize the HVC Setup effectively:
👉Customize Input Settings: Choose the HVC period, percentage change threshold, closing range, stop loss distance, and target multiples according to your trading strategy. Use the tick boxes to enable and disable if a given condition is used within the calculation.
👉Identify HVC Bars: The script highlights HVC bars, indicating potential opportunities based on volume and price action analysis.
👉Interpret Targets and Stop Losses: Use the color-coded lines (green for targets, red for stop losses) to guide your trade entries and exits.
👉Contextual Analysis: Always consider the HVC bar signals in conjunction with overall market trends and additional technical indicators for comprehensive trading decisions.
This script is designed to assist traders in identifying high-potential trading setups by using a combination of volume and price analysis, enhancing traditional methods with a unique, algorithmically driven approach.
Three Candle Rolling Pivot Range**Strategy Description: Three Previous Candle Rolling Pivot Range**
**Introduction:**
This trading strategy is based on the concept of the rolling pivot range calculated from the high, low, and close prices of the three previous candles. The rolling pivot range serves as a dynamic support and resistance level, and this strategy aims to capture potential trading opportunities based on the price relationship with this range.
**Strategy Components:**
**1. Rolling Pivot Range Calculation:**
- **Rolling Pivot:** Calculate the rolling pivot by averaging the high, low, and close prices of the three previous candles.
- **Second Number:** Find the midpoint between the high and low of the three previous candles.
- **Pivot Differential:** Measure the difference between the rolling pivot and the second number.
- **Rolling Pivot Range High:** Set as rolling pivot + pivot differential.
- **Rolling Pivot Range Low:** Set as rolling pivot - pivot differential.
**2. Entry Rules:**
- **Long Entry:**
- Initiate a long entry when the current close is above both the rolling pivot range high and the rolling pivot.
- Continue the long entry as long as both the rolling pivot range high and low are higher than the corresponding values of the previous candle.
- **Short Entry:**
- Start a short entry when the current close is below both the rolling pivot range high and the rolling pivot.
- Continue the short entry as long as both the rolling pivot range high and low are lower than the corresponding values of the previous candle.
**Visualization:**
- **Plotting:**
- The rolling pivot range high, rolling pivot, and rolling pivot range low are plotted on the chart for visual reference.
- Long entry points are marked with a green triangle below the corresponding candle.
- Short entry points are marked with a red triangle above the corresponding candle.
**Conclusion:**
This strategy leverages the rolling pivot range to identify potential reversal points in the market. By considering the relative position of the current price compared to the dynamic support and resistance levels, the strategy aims to capture favorable trading opportunities. However, like all trading strategies, it should be used cautiously and backtested thoroughly on historical data to ensure its effectiveness before implementation in a live trading environment. Additionally, risk management techniques should always be applied to safeguard trading capital.
