MOKI V1The "MOKI V1" script is a trading strategy on the TradingView platform that uses a combination of two key indicators to identify buy and sell signals:
EMA200 (Exponential Moving Average 200): Used to determine the overall market trend. This line helps ensure that trades are made in the direction of the primary market trend.
RSI (Relative Strength Index): Used to measure the strength or weakness of a trend. In this strategy, a reading above 50 for the RSI indicates stronger buy signals.
Engulfing Pattern: This candlestick pattern occurs when a green (bullish) candle completely engulfs the previous red (bearish) candle. It is used as a buy signal when combined with the other indicators.
อินดิเคเตอร์และกลยุทธ์
Volatility Momentum Breakout StrategyDescription:
Overview:
The Volatility Momentum Breakout Strategy is designed to capture significant price moves by combining a volatility breakout approach with trend and momentum filters. This strategy dynamically calculates breakout levels based on market volatility and uses these levels along with trend and momentum conditions to identify trade opportunities.
How It Works:
1. Volatility Breakout:
• Methodology:
The strategy computes the highest high and lowest low over a defined lookback period (excluding the current bar to avoid look-ahead bias). A multiple of the Average True Range (ATR) is then added to (or subtracted from) these levels to form dynamic breakout thresholds.
• Purpose:
This method helps capture significant price movements (breakouts) while ensuring that only past data is used, thereby maintaining realistic signal generation.
2. Trend Filtering:
• Methodology:
A short-term Exponential Moving Average (EMA) is applied to determine the prevailing trend.
• Purpose:
Long trades are considered only when the current price is above the EMA, indicating an uptrend, while short trades are taken only when the price is below the EMA, indicating a downtrend.
3. Momentum Confirmation:
• Methodology:
The Relative Strength Index (RSI) is used to gauge market momentum.
• Purpose:
For long entries, the RSI must be above a mid-level (e.g., above 50) to confirm upward momentum, and for short entries, it must be below a similar threshold. This helps filter out signals during overextended conditions.
Entry Conditions:
• Long Entry:
A long position is triggered when the current closing price exceeds the calculated long breakout level, the price is above the short-term EMA, and the RSI confirms momentum (e.g., above 50).
• Short Entry:
A short position is triggered when the closing price falls below the calculated short breakout level, the price is below the EMA, and the RSI confirms momentum (e.g., below 50).
Risk Management:
• Position Sizing:
Trades are sized to risk a fixed percentage of account equity (set here to 5% per trade in the code, with each trade’s stop loss defined so that risk is limited to approximately 2% of the entry price).
• Stop Loss & Take Profit:
A stop loss is placed a fixed ATR multiple away from the entry price, and a take profit target is set to achieve a 1:2 risk-reward ratio.
• Realistic Backtesting:
The strategy is backtested using an initial capital of $10,000, with a commission of 0.1% per trade and slippage of 1 tick per bar—parameters chosen to reflect conditions faced by the average trader.
Important Disclaimers:
• No Look-Ahead Bias:
All breakout levels are calculated using only past data (excluding the current bar) to ensure that the strategy does not “peek” into future data.
• Educational Purpose:
This strategy is experimental and provided solely for educational purposes. Past performance is not indicative of future results.
• User Responsibility:
Traders should thoroughly backtest and paper trade the strategy under various market conditions and adjust parameters to fit their own risk tolerance and trading style before live deployment.
Conclusion:
By integrating volatility-based breakout signals with trend and momentum filters, the Volatility Momentum Breakout Strategy offers a unique method to capture significant price moves in a disciplined manner. This publication provides a transparent explanation of the strategy’s components and realistic backtesting parameters, making it a useful tool for educational purposes and further customization by the TradingView community.
Advanced Multi-Timeframe Trading System (Risk Managed)Description:
This strategy is an original approach that combines two main analytical components to identify potential trade opportunities while simulating realistic trading conditions:
1. Market Trend Analysis via an Approximate Hurst Exponent
• What It Does:
The strategy computes a rough measure of market trending using an approximate Hurst exponent. A value above 0.5 suggests persistent, trending behavior, while a value below 0.5 indicates a tendency toward mean-reversion.
• How It’s Used:
The Hurst exponent is calculated on both the chart’s current timeframe and a higher timeframe (default: Daily) to capture both local and broader market dynamics.
2. Fibonacci Retracement Levels
• What It Does:
Using daily high and low data from a selected timeframe (default: Daily), the script computes key Fibonacci retracement levels.
• How It’s Used:
• The 61.8% level (Golden Ratio) serves as a key threshold:
• A long entry is signaled when the price crosses above this level if the daily Hurst exponent confirms a trending market.
• The 38.2% level is used to identify short-entry opportunities when the price crosses below it and the daily Hurst indicates non-trending conditions.
Signal Logic:
• Long Entry:
When the price crosses above the 61.8% Fibonacci level (Golden Ratio) and the daily Hurst exponent is greater than 0.5, suggesting a trending market.
• Short Entry:
When the price crosses below the 38.2% Fibonacci level and the daily Hurst exponent is less than 0.5, indicating a less trending or potentially reversing market.
Risk Management & Trade Execution:
• Stop-Loss:
Each trade is risk-managed with a stop-loss set at 2% below (for longs) or above (for shorts) the entry price. This ensures that no single trade risks more than a small, sustainable portion of the account.
• Take Profit:
A take profit order targets a risk-reward ratio of 1:2 (i.e., the target profit is twice the amount risked).
• Position Sizing:
Trades are executed with a fixed position size equal to 10% of account equity.
• Trade Frequency Limits:
• Daily Limit: A maximum of 5 trades per day
• Overall Limit: No more than 510 trades during the backtesting period (e.g., since 2019)
These limits are imposed to simulate realistic trading frequency and to avoid overtrading in backtest results.
Backtesting Parameters:
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Slippage: 1 tick per bar
These settings aim to reflect the conditions faced by the average trader and help ensure that the backtesting results are realistic and not misleading.
Chart Overlays & Visual Aids:
• Fibonacci Levels:
The key Fibonacci retracement levels are plotted on the chart, and the zone between the 61.8% and 38.2% levels is highlighted to show a key retracement area.
• Market Trend Background:
The chart background is tinted green when the daily Hurst exponent indicates a trending market (value > 0.5) and red otherwise.
• Information Table:
An on-chart table displays key parameters such as the current Hurst exponent, daily Hurst value, the number of trades executed today, and the global trade count.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential that you backtest and paper trade using your own settings before considering any live deployment. The Hurst exponent calculation is an approximation and should be interpreted as a rough gauge of market behavior. Adjust the parameters and risk management settings according to your personal risk tolerance and market conditions.
Additional Notes:
• Originality & Usefulness:
This script is an original mashup that combines trend analysis with Fibonacci retracement methods. The description above explains how these components work together to provide trading signals.
• Realistic Results:
The strategy uses realistic account sizes, commission rates, slippage, and risk management rules to generate backtesting results that are representative of real-world trading.
• Educational Purpose:
This script is intended to support the TradingView community by offering insights into combining multiple analysis techniques in one strategy. It is not a “get-rich-quick” system but rather an educational tool to help traders understand risk management and trade signal logic.
By using this script, you acknowledge that trading involves risk and that you are responsible for testing and adjusting the strategy to fit your own trading environment. This publication is fully open source, and any modifications should include proper attribution if significant portions of the code are reused.
Median Deviation Bands | QuantumResearchIntroducing QuantumResearch’s Median Deviation Bands Indicator
The Median Deviation Bands indicator is an advanced volatility-based tool designed to help traders identify price trends, market reversals, and potential trading opportunities.
By using a percentile-based median baseline combined with standard deviation bands, this indicator provides a dynamic framework for analyzing price movements and assessing market volatility.
How It Works
Baseline Calculation:
The median price over a user-defined period (default: 50) is calculated using the 50th percentile of price data.
This serves as the central reference point for trend analysis.
Trend Identification:
Bullish Trend: Occurs when the price crosses above the baseline.
Bearish Trend: Occurs when the price crosses below the baseline.
Deviation Bands:
The indicator plots three sets of upper and lower bands, representing 1x, 2x, and 3x standard deviations from the median.
These bands act as dynamic support and resistance zones, helping traders identify overbought and oversold conditions.
Visual Representation
The Median Deviation Bands indicator offers a clear, customizable visual layout:
Color-Coded Baseline:
Green (Bullish): Price is above the median.
Red (Bearish): Price is below the median.
Deviation Bands:
First Band (Light Fill): Represents 1 standard deviation from the baseline.
Second Band (Medium Fill): Represents 2 standard deviations, highlighting stronger trends.
Third Band (Dark Fill): Represents 3 standard deviations, showing extreme price conditions.
Trend Markers:
Green Up Arrows: Indicate the start of a bullish trend when price crosses above the baseline.
Red Down Arrows: Indicate the start of a bearish trend when price crosses below the baseline.
Customization & Parameters
The Median Deviation Bands indicator includes multiple user-configurable settings to adapt to different trading strategies:
Baseline Length: Default set to 50, determines the lookback period for median calculation.
Source Price: Selectable input price for calculations (default: close).
Band Visibility: Traders can toggle individual deviation bands on or off to match their preferences.
Trend Markers: Option to enable or disable up/down trend arrows.
Color Modes: Choose from eight color schemes to customize the indicator’s appearance.
Trading Applications
This indicator is highly versatile and can be applied to multiple trading strategies, including:
Volatility-Based Trading: Price movement within and outside the bands helps traders gauge volatility and market conditions.
Trend Following: The baseline and deviation bands help confirm ongoing trends.
Mean Reversion Strategies: Traders can look for price reactions at extreme bands (±3 standard deviations).
Final Note
QuantumResearch’s Median Deviation Bands indicator provides a unique approach to market analysis by integrating percentile-based median price levels with standard deviation-based volatility bands.
This combination helps traders understand price behavior in relation to historical volatility, making it a valuable tool for both trend-following and mean-reversion strategies.
As always, backtesting and customization are recommended to optimize performance across different market conditions.
Auto-Length Moving Average + Trend Signals (Zeiierman)█ Overview
The Auto-Length Moving Average + Trend Signals (Zeiierman) is an easy-to-use indicator designed to help traders dynamically adjust their moving average length based on market conditions. This tool adapts in real-time, expanding and contracting the moving average based on trend strength and momentum shifts.
The indicator smooths out price fluctuations by modifying its length while ensuring responsiveness to new trends. In addition to its adaptive length algorithm, it incorporates trend confirmation signals, helping traders identify potential trend reversals and continuations with greater confidence.
This indicator suits scalpers, swing traders, and trend-following investors who want a self-adjusting moving average that adapts to volatility, momentum, and price action dynamics.
█ How It Works
⚪ Dynamic Moving Average Length
The core feature of this indicator is its ability to automatically adjust the length of the moving average based on trend persistence and market conditions:
Expands in strong trends to reduce noise.
Contracts in choppy or reversing markets for faster reaction.
This allows for a more accurate moving average that aligns with current price dynamics.
⚪ Trend Confirmation & Signals
The indicator includes built-in trend detection logic, classifying trends based on market structure. It evaluates trend strength based on consecutive bars and smooths out transitions between bullish, bearish, and neutral conditions.
Uptrend: Price is persistently above the adjusted moving average.
Downtrend: Price remains below the adjusted moving average.
Neutral: Price fluctuates around the moving average, indicating possible consolidation.
⚪ Adaptive Trend Smoothing
A smoothing factor is applied to enhance trend readability while minimizing excessive lag. This balances reactivity with stability, making it easier to follow longer-term trends while avoiding false signals.
█ How to Use
⚪ Trend Identification
Bullish Trend: The indicator confirms an uptrend when the price consistently stays above the dynamically adjusted moving average.
Bearish Trend: A downtrend is recognized when the price remains below the moving average.
⚪ Trade Entry & Exit
Enter long when the dynamic moving average is green and a trend signal occurs. Exit when the price crosses below the dynamic moving average.
Enter short when the dynamic moving average is red and a trend signal occurs. Exit when the price crosses above the dynamic moving average.
█ Slope-Based Reset
This mode resets the trend counter when the moving average slope changes direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to filter out noise and only reset when a clear shift in momentum occurs.
Higher slope length (N): More stable trends, fewer resets.
Lower slope length (N): More reactive to small price swings, frequent resets.
Useful in swing trading to track significant trend reversals.
█ RSI-Based Reset
The counter resets when the Relative Strength Index (RSI) crosses predefined overbought or oversold levels.
⚪ Interpretation & Insights
Best for reversal traders who look for extreme overbought/oversold conditions.
High RSI threshold (e.g., 80/20): Fewer resets, only extreme conditions trigger adjustments.
Lower RSI threshold (e.g., 60/40): More frequent resets, detecting smaller corrections.
Great for detecting exhaustion in trends before potential reversals.
█ Volume-Based Reset
A reset occurs when current volume significantly exceeds its moving average, signaling a shift in market participation.
⚪ Interpretation & Insights
Best for traders who follow institutional activity (high volume often means large players are active).
Higher volume SMA length: More stable trends, only resets on massive volume spikes.
Lower volume SMA length: More reactive to short-term volume shifts.
Useful in identifying breakout conditions and trend acceleration points.
█ Bollinger Band-Based Reset
A reset occurs when price closes above the upper Bollinger Band or below the lower Bollinger Band, signaling potential overextension.
⚪ Interpretation & Insights
Best for traders looking for volatility-based trend shifts.
Higher Bollinger Band multiplier (k = 2.5+): Captures only major price extremes.
Lower Bollinger Band multiplier (k = 1.5): Resets on moderate volatility changes.
Useful for detecting overextensions in strong trends before potential retracements.
█ MACD-Based Reset
A reset occurs when the MACD line crosses the signal line, indicating a momentum shift.
⚪ Interpretation & Insights
Best for momentum traders looking for trend continuation vs. exhaustion signals.
Longer MACD lengths (260, 120, 90): Captures major trend shifts.
Shorter MACD lengths (10, 5, 3): Reacts quickly to momentum changes.
Useful for detecting strong divergences and market shifts.
█ Stochastic-Based Reset
A reset occurs when Stochastic %K crosses overbought or oversold levels.
⚪ Interpretation & Insights
Best for short-term traders looking for fast momentum shifts.
Longer Stochastic length: Filters out false signals.
Shorter Stochastic length: Captures quick intraday shifts.
█ CCI-Based Reset
A reset occurs when the Commodity Channel Index (CCI) crosses predefined overbought or oversold levels. The CCI measures the price deviation from its statistical mean, making it a useful tool for detecting overextensions in price action.
⚪ Interpretation & Insights
Best for cycle traders who aim to identify overextended price deviations in trending or ranging markets.
Higher CCI threshold (e.g., ±200): Detects extreme overbought/oversold conditions before reversals.
Lower CCI threshold (e.g., ±10): More sensitive to trend shifts, useful for early signal detection.
Ideal for detecting momentum shifts before price reverts to its mean or continues trending strongly.
█ Momentum-Based Reset
A reset occurs when Momentum (Rate of Change) crosses zero, indicating a potential shift in price direction.
⚪ Interpretation & Insights
Best for trend-following traders who want to track acceleration vs. deceleration.
Higher momentum length: Captures longer-term shifts.
Lower momentum length: More responsive to short-term trend changes.
█ How to Interpret the Trend Strength Table
The Trend Strength Table provides valuable insights into the current market conditions by tracking how the dynamic moving average is adjusting based on trend persistence. Each metric in the table plays a role in understanding the strength, longevity, and stability of a trend.
⚪ Counter Value
Represents the current length of trend persistence before a reset occurs.
The higher the counter, the longer the current trend has been in place without resetting.
When this value reaches the Counter Break Threshold, the moving average resets and contracts to become more reactive.
Example:
A low counter value (e.g., 10) suggests a recent trend reset, meaning the market might be changing directions frequently.
A high counter value (e.g., 495) means the trend has been ongoing for a long time, indicating strong trend persistence.
⚪ Trend Strength
Measures how strong the current trend is based on the trend confirmation logic.
Higher values indicate stronger trends, while lower values suggest weaker trends or consolidations.
This value is dynamic and updates based on price action.
Example:
Trend Strength of 760 → Indicates a high-confidence trend.
Trend Strength of 50 → Suggests weak price action, possibly a choppy market.
⚪ Highest Trend Score
Tracks the strongest trend score recorded during the session.
Helps traders identify the most dominant trend observed in the timeframe.
This metric is useful for analyzing historical trend strength and comparing it with current conditions.
Example:
Highest Trend Score = 760 → Suggests that at some point, there was a strong trend in play.
If the current trend strength is much lower than this value, it could indicate trend exhaustion.
⚪ Average Trend Score
This is a rolling average of trend strength across the session.
Provides a bigger picture of how the trend strength fluctuates over time.
If the average trend score is high, the market has had persistent trends.
If it's low, the market may have been choppy or sideways.
Example:
Average Trend Score of 147 vs. Current Trend Strength of 760 → Indicates that the current trend is significantly stronger than the historical average, meaning a breakout might be occurring.
Average Trend Score of 700+ → Suggests a strong trending market overall.
█ Settings
⚪ Dynamic MA Controls
Base MA Length – Sets the starting length of the moving average before dynamic adjustments.
Max Dynamic Length – Defines the upper limit for how much the moving average can expand.
Trend Confirmation Length – The number of bars required to validate an uptrend or downtrend.
⚪ Reset & Adaptive Conditions
Reset Condition Type – Choose what triggers the moving average reset (Slope, RSI, Volume, MACD, etc.).
Trend Smoothing Factor – Adjusts how smoothly the moving average responds to price changes.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
AI Volume Breakout for scalpingPurpose of the Indicator
This script is designed for trading, specifically for scalping, which involves making numerous trades within a very short time frame to take advantage of small price movements. The indicator looks for volume breakouts, which are moments when trading volume significantly increases, potentially signaling the start of a new price movement.
Key Components:
Parameters:
Volume Threshold (volumeThreshold): Determines how much volume must increase from one bar to the next for it to be considered significant. Set at 4.0, meaning volume must quadruplicate for a breakout signal.
Price Change Threshold (priceChangeThreshold): Defines the minimum price change required for a breakout signal. Here, it's 1.5% of the bar's opening price.
SMA Length (smaLength): The period for the Simple Moving Average, which helps confirm the trend direction. Here, it's set to 20.
Cooldown Period (cooldownPeriod): Prevents signals from being too close together, set to 10 bars.
ATR Period (atrPeriod): The period for calculating Average True Range (ATR), used to measure market volatility.
Volatility Threshold (volatilityThreshold): If ATR divided by the close price exceeds this, the market is considered too volatile for trading according to this strategy.
Calculations:
SMA (Simple Moving Average): Used for trend confirmation. A bullish signal is more likely if the price is above this average.
ATR (Average True Range): Measures market volatility. Lower volatility (below the threshold) is preferred for this strategy.
Signal Generation:
The indicator checks if:
Volume has increased significantly (volumeDelta > 0 and volume / volume >= volumeThreshold).
There's enough price change (math.abs(priceDelta / open) >= priceChangeThreshold).
The market isn't too volatile (lowVolatility).
The trend supports the direction of the price change (trendUp for bullish, trendDown for bearish).
If all these conditions are met, it predicts:
1 (Bullish) if conditions suggest buying.
0 (Bearish) if conditions suggest selling.
Cooldown Mechanism:
After a signal, the script waits for a number of bars (cooldownPeriod) before considering another signal to avoid over-trading.
Visual Feedback:
Labels are placed on the chart:
Green label for bullish breakouts below the low price.
Red label for bearish breakouts above the high price.
How to Use:
Entry Points: Look for the labels on your chart to decide when to enter trades.
Risk Management: Since this is for scalping, ensure each trade has tight stop-losses to manage risk due to the quick, small movements.
Market Conditions: This strategy might work best in markets with consistent volume and price changes but not extreme volatility.
Caveats:
This isn't real AI; it's a heuristic based on volume and price. Actual AI would involve machine learning algorithms trained on historical data.
Always backtest any strategy, and consider how it behaves in different market conditions, not just the ones it was designed for.
Bollinger Bands Long Strategy
This strategy is designed for identifying and executing long trades based on Bollinger Bands and RSI. It aims to capitalize on potential oversold conditions and subsequent price recovery.
Key Features:
- Bollinger Bands (10,2): The strategy uses Bollinger Bands with a 10-period moving average and a multiplier of 2 to define price volatility.
- RSI Filter: A trade is only triggered when the RSI (14-period) is below 30, ensuring entry during oversold conditions.
- Entry Condition: A long trade is entered immediately when the price crosses below the lower Bollinger Band and the RSI is under 30.
- Exit Condition: The position is exited when the price reaches or crosses above the Bollinger Band basis (20-period moving average).
Best Used For:
- Identifying oversold conditions with a strong potential for a rebound.
- Markets or assets with clear oscillations and volatility e.g., BTC.
**Disclaimer:** This strategy is for educational purposes and should be used with caution. Backtesting and risk management are essential before live trading.
[TehThomas] - Displacement CandlesOverview:
This PineScript is designed to detect and visualize significant price movements, called displacements, on a trading chart. It's particularly useful for traders who want to identify potential trend changes or strong market sentiment quickly.
How the Script Works
User Input:
The script allows users to set a custom threshold for displacement detection and choose colors for bullish and bearish movements.
Displacement Detection Function:
isDisplacement(series, threshold) =>
percentage_change = math.abs(series - series ) / series * 100
percentage_change > threshold
This function calculates the percentage change between the current and previous price.
If the change exceeds the set threshold, it's considered a displacement.
Bullish and Bearish Detection:
bullish_displacement = isDisplacement(close, threshold) and close > close
bearish_displacement = isDisplacement(close, threshold) and close < close
Identifies whether the displacement is bullish (price increase) or bearish (price decrease).
Candle Coloring:
barcolor(bullish_displacement ? bullish_color : bearish_displacement ? bearish_color : na)
Changes the color of candles based on the detected displacement type.
Usefulness and Applications:
Trend Identification: Helps in quickly spotting potential trend changes or continuations.
Volatility Analysis: Provides a visual representation of market volatility.
Entry and Exit Signals: Can be used to identify potential entry or exit points for trades.
Market Sentiment: Offers insights into the strength of bullish or bearish sentiment.
Customizable Sensitivity: The adjustable threshold allows traders to fine-tune the indicator based on the asset's typical volatility.
Visual Clarity: By changing candle colors, it provides a clear, at-a-glance view of significant price movements.
Complementary Tool: Can be used alongside other technical indicators for confirmation of signals.
Multiple Timeframe Analysis: Applicable across different timeframes to suit various trading styles (day trading, swing trading, etc.).
Educational Purpose: Helps new traders understand and visualize significant price movements in the market.
Backtesting: Can be incorporated into strategy backtests to assess its effectiveness in different market conditions.
This script is particularly handy for traders who want to cut through market noise and focus on significant price movements. It's versatile enough to be used across different trading strategies and can be a valuable addition to a trader's technical analysis toolkit.
It's a very easy script and not alot to mention. If you see any improvements please let me know.
BullDozz Fibo ZigZagFibo ZigZag - Advanced Fibonacci Retracement Tool 🔥
📌 Overview
The Fibo ZigZag indicator is a powerful tool for trend structure analysis using the ZigZag pattern and Fibonacci retracement levels. It automatically identifies swing highs & lows, draws ZigZag lines, and overlays Fibonacci levels with price labels at the right end for better readability.
This indicator is designed for traders who use price action, trend reversal strategies, and support/resistance analysis.
🛠 Features
✅ Automatic ZigZag detection with customizable depth, deviation, and backstep
✅ Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%, 161.8%, 261.8%, 423.6%)
✅ Price labels at Fibonacci levels (placed at the right end of the levels)
✅ Alerts for new swing highs & lows
✅ Customizable line colors, text colors, and label sizes
✅ Lightweight and optimized for fast performance
📊 How It Works
1️⃣ The script detects ZigZag structure points based on price swings
2️⃣ It connects recent highs & lows with a ZigZag line
3️⃣ Fibonacci retracement levels are calculated and drawn between the last two significant swing points
4️⃣ Each Fibo level is labeled with its percentage & exact price, placed at the right end for clarity
5️⃣ Alerts trigger automatically when a new swing high or low is detected
⚙ Customization Options
🔹 ZigZag Settings: Adjust Depth, Deviation, BackStep, and Leg length
🔹 Fibonacci Levels: Modify line colors, label text colors, and visibility
🔹 Alerts: Enable/disable trend change alerts
📈 Best Use Cases
🚀 Identifying Trend Reversals – Detect key turning points using Fibonacci levels
📉 Support & Resistance Trading – Use retracement levels as entry/exit points
📊 Swing Trading & Scalping – Combine ZigZag with price action for effective strategies
🔔 Alert-Based Trading – Get notified when new swing highs/lows form
🚀 How to Use
📌 Add the indicator to your chart
📌 Adjust the settings to match your trading strategy
📌 Use the Fibonacci levels & ZigZag lines to analyze trend direction & key price zones
📌 Wait for alerts or manually enter trades based on price reaction to Fibo levels
📢 Final Thoughts
The Fibo ZigZag is an essential tool for traders who rely on price action, trend reversals, and Fibonacci levels. Whether you're a beginner or a pro, this indicator helps you spot high-probability trading opportunities with ease.
⚡ Try it now & enhance your trading strategy! 🚀
💬 Let us know your feedback & suggestions in the comments! Happy trading! 📊🔥
Arpeet MACDOverview
This strategy is based on the zero-lag version of the MACD (Moving Average Convergence Divergence) indicator, which captures short-term trends by quickly responding to price changes, enabling high-frequency trading. The strategy uses two moving averages with different periods (fast and slow lines) to construct the MACD indicator and introduces a zero-lag algorithm to eliminate the delay between the indicator and the price, improving the timeliness of signals. Additionally, the crossover of the signal line and the MACD line is used as buy and sell signals, and alerts are set up to help traders seize trading opportunities in a timely manner.
Strategy Principle
Calculate the EMA (Exponential Moving Average) or SMA (Simple Moving Average) of the fast line (default 12 periods) and slow line (default 26 periods).
Use the zero-lag algorithm to double-smooth the fast and slow lines, eliminating the delay between the indicator and the price.
The MACD line is formed by the difference between the zero-lag fast line and the zero-lag slow line.
The signal line is formed by the EMA (default 9 periods) or SMA of the MACD line.
The MACD histogram is formed by the difference between the MACD line and the signal line, with blue representing positive values and red representing negative values.
When the MACD line crosses the signal line from below and the crossover point is below the zero axis, a buy signal (blue dot) is generated.
When the MACD line crosses the signal line from above and the crossover point is above the zero axis, a sell signal (red dot) is generated.
The strategy automatically places orders based on the buy and sell signals and triggers corresponding alerts.
Advantage Analysis
The zero-lag algorithm effectively eliminates the delay between the indicator and the price, improving the timeliness and accuracy of signals.
The design of dual moving averages can better capture market trends and adapt to different market environments.
The MACD histogram intuitively reflects the comparison of bullish and bearish forces, assisting in trading decisions.
The automatic order placement and alert functions make it convenient for traders to seize trading opportunities in a timely manner, improving trading efficiency.
Risk Analysis
In volatile markets, frequent crossover signals may lead to overtrading and losses.
Improper parameter settings may cause signal distortion and affect strategy performance.
The strategy relies on historical data for calculations and has poor adaptability to sudden events and black swan events.
Optimization Direction
Introduce trend confirmation indicators, such as ADX, to filter out false signals in volatile markets.
Optimize parameters to find the best combination of fast and slow line periods and signal line periods, improving strategy stability.
Combine other technical indicators or fundamental factors to construct a multi-factor model, improving risk-adjusted returns of the strategy.
Introduce stop-loss and take-profit mechanisms to control single-trade risk.
Summary
The MACD Dual Crossover Zero Lag Trading Strategy achieves high-frequency trading by quickly responding to price changes and capturing short-term trends. The zero-lag algorithm and dual moving average design improve the timeliness and accuracy of signals. The strategy has certain advantages, such as intuitive signals and convenient operation, but also faces risks such as overtrading and parameter sensitivity. In the future, the strategy can be optimized by introducing trend confirmation indicators, parameter optimization, multi-factor models, etc., to improve the robustness and profitability of the strategy.
Prev Day & Curr Day H/L + Opening Range (9:30, 5min)Script Description:
This TradingView Pine Script is designed for use on a 5‑minute chart and plots key price levels for daily trading analysis. It automatically draws:
• Previous Day High/Low Lines:
These lines mark the previous day’s regular trading hours (RTH) high and low levels, with labels (“PDH” and “PDL”) for easy identification.
• Current Day High/Low Lines:
As the trading day progresses, the script updates and displays the current day’s RTH high and low levels, labeled as “CDH” and “CDL”.
• Opening Range for 9:30 AM:
The script specifically identifies the first 5‑minute candle at 9:30 AM (using the “America/New_York” time zone) and draws two additional lines at its high and low. These lines are labeled “HighOpen” and “LowOpen” to indicate the opening range.
All lines are drawn with a width of 5 and have configurable colors, styles, and extension lengths. The script automatically resets at the start of each new day, ensuring that the plotted levels are current and relevant for daily trading decisions.
Prev Day High EMA Crossover with 7-Day SMA Trailing StopPrev Day High EMA Crossover with 7-Day SMA Trailing Stop
Overview
This indicator is designed for traders who seek high-probability breakout trades using a combination of Exponential Moving Averages (EMAs), the previous day's high, and a 7-day Simple Moving Average (SMA) trailing stop. It helps identify bullish and bearish crossover signals while ensuring confirmation with price action above or below key levels.
How It Works
1. Entry Signals:
✅ Bullish Entry:
The 9 EMA crosses above the 15 EMA (bullish momentum).
The price is above the previous day’s high (confirming a breakout).
The candle closes above the open (bullish confirmation).
✅ Bearish Entry:
The 9 EMA crosses below the 15 EMA (bearish momentum).
The price is below the previous day’s high (confirming a failure to break higher).
The candle closes below the open (bearish confirmation).
2. Exit Strategy (Trailing Stop):
📌 Long Exit: If in a long trade, exit when the price closes below the 7-day SMA.
📌 Short Exit: If in a short trade, exit when the price closes above the 7-day SMA.
Highest Price MarkerHighest Price Marker – Smart Label & Line Indicator
This Pine Script v5 indicator highlights the highest price reached within the last 100 bars on your chart. It visually enhances key price levels by:
✅ Placing a label at the highest price, positioned 3 candles to the left for clarity.
✅ Drawing a line connecting the label to the actual high for better visibility.
✅ Auto-updating dynamically whenever a new highest price is detected.
This is useful for traders who want to quickly identify resistance levels or analyze historical price peaks without cluttering the chart.
🔹 How to Use:
Add the indicator to your chart.
Look for the red label marking the highest price within the last 100 bars.
The horizontal line helps track the exact price level.
💡 Customization Ideas:
Adjust the lookback period (length = 100) to detect longer or shorter trends.
Modify colors or label positioning to suit your preferences.
🚀 Perfect for:
🔸 Price Action Traders
🔸 Swing & Breakout Traders
🔸 Support & Resistance Analysis
[ARN]Reversal finderThe script is designed to identify potential reversal points in the market using a 5-period Exponential Moving Average (EMA) and specific candlestick patterns. Below is a detailed breakdown of the script:
1. Inputs and Settings
Toggle for 5 EMA:toggle5EMA = input.bool(true, title="Show 5 EMA")
This allows the user to enable or disable the display of the 5 EMA on the chart.
EMA Length: emaLength5 = 5
The length of the EMA is fixed at 5 periods.
2.EMA Calculation: EMA Value: emaValue5 = ta.ema(close, emaLength5)
The script calculates the 5-period EMA using the closing price of the candles.
EMA Color: emaColor5 = emaValue5 > emaValue5 ? color.green : color.red
The color of the EMA line is determined by its direction:
- Green if the current EMA value is greater than the previous EMA value (uptrend).
- Red if the current EMA value is less than the previous EMA value (downtrend).
Plotting the EMA: plot(toggle5EMA ? emaValue5 : na, title="5 EMA", color=emaColor5,
linewidth=2)
The EMA is plotted on the chart if the toggle is enabled (`toggle5EMA` is `true`).
3. Candle Color Identification: Green Candle:close > open; Red Candle:close < open
4. Signal Candle Identification:
Long Signal Candle: signalLong5 = isGreen and (low < emaValue5 and high < emaValue5)
A long signal candle is a green candle where both the low and high prices are below the 5
EMA. This suggests a potential bullish reversal.
Short Signal Candle: signalShort5 = isRed and (low > emaValue5 and high > emaValue5)
A short signal candle is a red candle where both the low and high prices are above the 5
EMA. This suggests a potential bearish reversal.
5. Confirmation Candle Identification:
confirmationCandleLong5 = signalLong5 and isGreen and (low <= emaValue5 and high >=
emaValue5)
A confirmation candle for a long signal is a green candle that occurs after a long signal
candle. It must touch or cross the 5 EMA (i.e., the low is below the EMA and the high is above
the EMA).
Confirmation Candle for Short:confirmationCandleShort5 = signalShort5 and isRed and (low
<= emaValue5 and high >= emaValue5)
A confirmation candle for a short signal is a red candle that occurs after a short signal
candle. It must touch or cross the 5 EMA (i.e., the low is below the EMA and the high is above
the EMA).
6. Plotting Buy/Sell Signals: A green triangle is plotted below the confirmation candle for a
long signal and a pink triangle is plotted above the confirmation candle for a short signal.
How the Script Works:
1. The script calculates the 5 EMA and plots it on the chart.
2. It identifies signal candles (candles that do not touch the 5 EMA) and confirmation candles (candles that touch or cross the 5 EMA).
3. Buy and sell signals are generated based on the confirmation candles.
4. Stop-loss levels are plotted for each signal to help manage risk.
Customization:
- You can adjust the `extendBars` variable to change how far the stop-loss lines extend.
- You can modify the colors and styles of the EMA, signals, and stop-loss lines to suit your preferences.
This script is a useful tool for traders looking to identify potential reversals using the 5 EMA and candlestick patterns. However, like any trading tool, it should be used in conjunction with other indicators and analysis techniques for better accuracy.
MACD Histogram Color Tabledisplaying the MACD Histogram color and divergences across multiple timeframes. Here's how it works step by step:
1. Setting the Table Position
The script allows the user to choose where the table will be placed using the positionOption input. The three options are:
Top Right
Top Left
Top Center
Depending on the selected option, the table is created at the corresponding position.
2. Creating the Table
A table (macdTable) is created with 8 columns (for different timeframes) and 3 rows (for different data points).
3. MACD Histogram Color Function (f_get_macd_color)
This function calculates the MACD line, signal line, and histogram for a given timeframe.
The histogram (histLine) is used to determine the cell background color:
Green if the histogram is positive.
Red if the histogram is negative.
4. Divergence Detection Function (f_detect_divergence)
This function looks for bullish and bearish divergences using the MACD histogram:
Bullish Divergence (🟢)
The price makes a lower low.
The MACD histogram makes a higher low.
Bearish Divergence (🔴)
The price makes a higher high.
The MACD histogram makes a lower high.
The function returns:
🟢 (green circle) for bullish divergence.
🔴 (red circle) for bearish divergence.
"" (empty string) if no divergence is detected.
5. Populating the Table
The table has three rows for each timeframe:
First row: Displays the timeframe labels (5m, 15m, 30m, etc.).
Second row: Shows MACD Histogram color (red/green).
Third row: Displays divergences (🟢/🔴).
This is done using table.cell() for each timeframe.
6. Final Result
A table is displayed on the chart.
Each column represents a different timeframe.
The color-coded row shows the MACD histogram status.
The bottom row shows detected divergences.
Swing Breakout System (SBS)The Swing Breakout Sequence (SBS) is a trading strategy that focuses on identifying high-probability entry points based on a specific pattern of price swings. This indicator will identify these patterns, then draw lines and labels to show confirmation.
How To Use:
The indicator will show both Bullish and Bearish SBS patterns.
Bullish Pattern is made up of 6 points: Low (0), HH (1), LL (2 | but higher than initial Low), New HH (3), LL (5), LL again (5)
Bearish Patten is made up of 6 points: High (0), LL (1), HH (2 | but lower than initial high), New LL (3), HH (5), HH again (5)
A label with an arrow will appear at the end, showing the completion of a successful sequence
Idea behind the strategy:
The idea behind this strategy, is the accumulation and then manipulation of liquidity throughout the sequence. For example, during SBS sequence, liquidity is accumulated during step (2), then price will push away to make a new high/low (step 3), after making a minor new high/low, price will retrace breaking the key level set up in step (2). This is price manipulating taking liquidity from behind high/low from step (2). After taking liquidity price the idea is price will continue in the original direction.
Step 0 - Setting up initial direction
Step 1 - Setting up initial direction
Step 2 - Key low/high establishing liquidity
Step 3 - Failed New high/low
Step 4 - Taking liquidity from step (2)
Step 5 - Taking liquidity from step 2 and 4
Pattern Detection:
- Uses pivot high/low points to identify swing patterns
- Stores 6 consecutive swing points in arrays
- Identifies two types of patterns:
1. Bullish Pattern: A specific sequence of higher lows and higher highs
2. Bearish Pattern: A specific sequence of lower highs and lower lows
Note: Because the indicator is identifying a perfect sequence of 6 steps, set ups may not appear frequently.
Visualization:
- Draws connecting lines between swing points
- Labels each point numerically (optional)
- Shows breakout arrows (↑ for bullish, ↓ for bearish)
- Generates alerts on valid breakouts
User Input Settings:
Core Parameters
1. Pivot Lookback Period (default: 2)
- Controls how many bars to look back/forward for pivot point detection
- Higher values create fewer but more significant pivot points
2. Minimum Pattern Height % (default: 0.1)
- Minimum required height of the pattern as a percentage of price
- Filters out insignificant patterns
3. Maximum Pattern Width (bars) (default: 50)
- Maximum allowed width of the pattern in bars
- Helps exclude patterns that form over too long a period
HTF EMA Pivot PointsHTF EMA Pivot Points - TradingView Indicator
📌 Overview
The HTF EMA Pivot Points indicator displays Exponential Moving Averages (EMAs) from higher timeframes (HTF) on your current chart. These EMAs act as dynamic support and resistance levels, helping traders identify key areas where price is likely to react.
⚡ Key Features
✅ Plots EMAs from multiple timeframes (1H, 4H, Daily)
✅ Works on any chart (1M, 5M, 15M, etc.)
✅ Acts as pivot points for price action, helping with trade entries & exits
✅ Customizable EMA lengths for flexibility
✅ Ideal for scalping, 0DTE options trading, and swing trading
🛠 How It Works
The script calculates EMAs from 1H, 4H, and Daily charts and overlays them on your current timeframe. These levels often act as support and resistance zones, where price tends to bounce or reject.
🎯 How to Use It for Trading
📍 Bullish Setup (Buy Calls)
• Price bounces off a higher timeframe EMA (e.g., 4H or Daily EMA)
• Confirmation with RSI or Fair Value Gaps (FVGs)
📍 Bearish Setup (Buy Puts)
• Price rejects from a higher timeframe EMA
• Confirmation with other indicators (RSI, MACD, Order Flow)
🚀 Why Use This Indicator?
• Filters out noise from lower timeframe EMAs
• Confirms trend direction using key moving averages
• Helps avoid false breakouts by identifying strong institutional levels
This is a must-have tool for traders who rely on higher timeframe confluence for scalping, options trading, or swing trading. 📈🔥
My auto dual avwap with Auto swing low/pivot low finderWelcome to My Auto Dual AVWAP with Auto Swing Low/Pivot Low Finder – an open-source TradingView indicator designed to enhance your technical analysis toolbox. This indicator is published under the Mozilla Public License 2.0 and is available for anyone to study, modify, and distribute.
Key Features
Auto Pivot/Swing Low Finder:
In addition to VWAP lines, the indicator incorporates an automatic detection mechanism for swing lows/pivot lows. This feature assists in identifying potential support areas and price reversals, further enhancing your trading strategy.
Dual VWAP Calculation with high/low range:
The indicator calculates two separate volume-weighted average price (VWAP) lines based on different price inputs (low and high prices) and defined time sessions. This allows traders to gain a more nuanced view of market activity during specific trading periods.
Customizable Time Sessions:
You can specify distinct start and end times for each VWAP calculation session. This flexibility helps you align the indicator with your preferred trading hours or market sessions, making it adaptable to various time zones and trading styles.
Easy to Customize:
With clear code structure and detailed comments, the script is designed to be accessible even for traders who want to customize or extend its functionality. Whether you're a seasoned coder or just starting out, the code is written with transparency in mind.
How It Works
Session Initialization:
The script sets up two distinct time sessions using user-defined start and end times. For each session, it detects the beginning of the trading period to reset cumulative values.
Cumulative Calculations:
During each session, the indicator accumulates the product of price and volume as well as the total volume. The VWAP is then computed as the ratio of these cumulative values.
Dual Data Sources:
Two separate data inputs (using low and high prices) are used to calculate two VWAP lines. This dual approach provides a broader perspective on market trends and can help in identifying dynamic support and resistance levels.
Visualization:
The calculated VWAP lines are plotted directly on your chart with distinct colors and thickness settings for easy visualization. This makes it simple to interpret the data at a glance.
Why Use This Indicator?
Whether you are a day trader, swing trader, or simply looking to refine your market analysis, My Auto Dual AVWAP with Auto Swing Low/Pivot Low Finder offers a robust set of features that can help you identify key price levels and improve your decision-making process. Its open-source nature invites collaboration and customization, ensuring that you can tailor it to fit your unique trading style.
Feel free to explore, modify, and share this indicator. Happy trading!
Kalman FilterKalman Filter Indicator Description
This indicator applies a Kalman Filter to smooth the selected price series (default is the close) and help reveal the underlying trend by filtering out market noise. The filter is based on a recursive algorithm consisting of two main steps:
Prediction Step:
The filter predicts the next state using the last estimated value and increases the uncertainty (error covariance) by adding the process noise variance (Q). This step assumes that the price follows a random walk, where the last known estimate is the best guess for the next value.
Update Step:
The filter computes the Kalman Gain, which determines the weight given to the new measurement (price) versus the prediction. It then updates the state estimate by combining the prediction with the measurement error (using the measurement noise variance, R). The error covariance is also updated accordingly.
Key Features:
Customizable Input:
Source: Choose any price series (default is the closing price) for filtering.
Measurement Noise Variance (R): Controls the sensitivity to new measurements (default is 0.1). A higher R makes the filter less responsive.
Process Noise Variance (Q): Controls the assumed level of inherent price variability (default is 0.01). A higher Q allows the filter to adapt more quickly to changes.
Visual Trend Indication:
The filtered trend line is plotted directly on the chart:
When enabled, the line is colored green when trending upward and red when trending downward.
If color option is disabled, the line appears in blue.
This indicator is ideal for traders looking to smooth price data and identify trends more clearly by reducing the impact of short-term volatility.
GOLD Volume-Based Entry StrategyShort Description:
This script identifies potential long entries by detecting two consecutive bars with above-average volume and bullish price action. When these conditions are met, a trade is entered, and an optional profit target is set based on user input. This strategy can help highlight momentum-driven breakouts or trend continuations triggered by a surge in buying volume.
How It Works
Volume Moving Average
A simple moving average of volume (vol_ma) is calculated over a user-defined period (default: 20 bars). This helps us distinguish when volume is above or below recent averages.
Consecutive Green Volume Bars
First bar: Must be bullish (close > open) and have volume above the volume MA.
Second bar: Must also be bullish, with volume above the volume MA and higher than the first bar’s volume.
When these two bars appear in sequence, we interpret it as strong buying pressure that could drive price higher.
Entry & Profit Target
Upon detecting these two consecutive bullish bars, the script places a long entry.
A profit target is set at current price plus a user-defined fixed amount (default: 5 USD).
You can adjust this target, or you can add a stop-loss in the script to manage risk further.
Visual Cues
Buy Signal Marker appears on the chart when the second bar confirms the signal.
Green Volume Columns highlight the bars that fulfill the criteria, providing a quick visual confirmation of high-volume bullish bars.
Works fine on 1M-2M-5M-15M-30M. Do not use it on higher TF. Due the lack of historical data on lower TF, the backtest result is limited.
75th-25th Percentile Momentum | QuantumResearchIntroducing QuantumResearch’s 75th-25th Percentile Momentum Indicator
The 75th-25th Percentile Momentum indicator is a cutting-edge tool that combines percentile rank analysis with ATR-based deviation to detect significant bullish and bearish momentum in the market. By analyzing price movements relative to the 75th and 25th percentiles of recent data, the indicator provides traders with clear and dynamic signals for long and short opportunities.
How It Works
Percentile Analysis:
The 75th and 25th percentiles are calculated over a user-defined lookback period, representing the upper and lower thresholds for price action.
ATR-Based Adjustment:
ATR (Average True Range) is used to account for market volatility, dynamically adjusting the thresholds with user-defined multipliers.
Signal Generation:
Long Signal: Triggered when the price exceeds the 75th percentile plus the ATR-based adjustment (default multiplier: 1.3).
Short Signal: Triggered when the price falls below the 25th percentile minus the ATR-based adjustment (default multiplier: 1.3).
Visual Representation
The indicator offers a clear and customizable visual interface:
Green Bars: Indicate a bullish trend, signaling a potential long opportunity when the price surpasses the adjusted 75th percentile.
Red Bars: Indicate a bearish trend, signaling a potential short opportunity when the price drops below the adjusted 25th percentile.
Additional visuals include:
A dynamically colored 54-period EMA line, representing trend direction:
Green Line: Indicates a bullish trend.
Red Line: Indicates a bearish trend.
A filled area between the EMA line and the midpoint (HL2), offering enhanced trend visibility.
Customization & Parameters
The 75th-25th Percentile Momentum indicator includes several adjustable parameters to suit different trading styles:
Source: Defines the input price (default: close).
Percentile Length: Default set to 25, determines the lookback period for percentile calculations.
ATR Length: Default set to 14, adjusts the sensitivity of volatility measurement.
Multiplier for 75th Percentile: Default set to 1.3, adjusts the threshold for long signals.
Multiplier for 25th Percentile: Default set to 1.3, adjusts the threshold for short signals.
Color Modes: Choose from eight visual themes to personalize the appearance of trend signals.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Momentum Trading: Highlights when price action demonstrates strong upward or downward momentum relative to recent percentiles.
Volatility-Adaptive Strategies: By incorporating ATR-based thresholds, the indicator adjusts dynamically to market conditions.
Reversal Detection: Identifies potential turning points when the price moves significantly beyond the 75th or 25th percentiles.
Final Note
QuantumResearch’s 75th-25th Percentile Momentum indicator is a powerful tool for traders looking to capture momentum and trend opportunities in the market.
Its combination of percentile analysis, volatility adjustment, and visual clarity offers a robust framework for making informed trading decisions. As with all indicators, it is recommended to backtest thoroughly and integrate this tool into a comprehensive trading strategy.
HTF Candle Range Box (Fixed to HTF Bars)### **Higher Timeframe Candle Range Box (HTF Box Indicator)**
This indicator visually highlights the price range of the most recently closed higher-timeframe (HTF) candle, directly on a lower-timeframe chart. It dynamically adjusts based on the user-selected HTF setting (e.g., 15-minute, 1-hour) and ensures that the box is displayed only on the bars that correspond to that specific HTF candle’s duration.
For instance, if a trader is on a **1-minute chart** with the **HTF set to 15 minutes**, the indicator will draw a box spanning exactly 15 one-minute candles, corresponding to the previous 15-minute HTF candle. The box updates only when a new HTF candle completes, ensuring that it does not change mid-formation.
---
### **How It Works:**
1. **Retrieves Higher Timeframe Data**
The script uses TradingView’s `request.security` function to pull **high, low, open, and close** values from the **previously completed HTF candle** (using ` ` to avoid repainting). It also fetches the **high and low of the candle before that** (using ` `) for comparison.
2. **Determines Breakout Behavior**
It compares the **last closed HTF candle** to the **one before it** to determine whether:
- It **broke above** the previous high.
- It **broke below** the previous low.
- It **broke both** the high and low.
- It **stayed within the previous candle’s range** (no breakout).
3. **Classifies the Candle & Assigns Color**
- **Green (Bullish)**
- Closes above the previous candle’s high.
- Breaks below the previous candle’s low but closes back inside the previous range **if it opened above** the previous high.
- **Red (Bearish)**
- Closes below the previous candle’s low.
- Breaks above the previous candle’s high but closes back inside the previous range **if it opened below** the previous low.
- **Orange (Neutral/Indecisive)**
- Stays within the previous candle’s range.
- Breaks both the high and low but closes inside the previous range without a clear bias.
4. **Box Placement on the Lower Timeframe**
- The script tracks the **bar index** where each HTF candle starts on the lower timeframe (e.g., every 15 bars on a 1-minute chart if HTF = 15 minutes).
- It **only displays the box on those bars**, ensuring that the range is accurately reflected for that time period.
- The box **resets and updates** only when a new HTF candle completes.
---
### **Key Features & Advantages:**
✅ **Clear Higher Timeframe Context:**
- The indicator provides a structured way to analyze HTF price action while trading in a lower timeframe.
- It helps traders identify **HTF support and resistance zones**, potential **breakouts**, and **failed breakouts**.
✅ **Fixed Box Display (No Mid-Candle Repainting):**
- The box is drawn **only after the HTF candle closes**, avoiding misleading fluctuations.
- Unlike other indicators that update live, this one ensures the trader is looking at **confirmed data** only.
✅ **Flexible Timeframe Selection:**
- The user can set **any HTF resolution** (e.g., 5min, 15min, 1hr, 4hr), making it adaptable for different strategies.
✅ **Dynamic Color Coding for Quick Analysis:**
- The **color of the box reflects the market sentiment**, making it easier to spot trends, reversals, and fake-outs.
✅ **No Clutter – Only Applies to the Relevant Bars:**
- Instead of spanning across the whole chart, the range box is **only visible on the bars belonging to the last HTF period**, keeping the chart clean and focused.
---
### **Example Use Case:**
💡 Imagine a trader is scalping on the **1-minute chart** but wants to factor in **HTF 15-minute structure** to avoid getting caught in bad trades. With this indicator:
- They can see whether the last **15-minute candle** was bullish, bearish, or indecisive.
- If it was **bullish (green)**, they may look for **buying opportunities** at lower timeframes.
- If it was **bearish (red)**, they might anticipate **a potential pullback or continuation down**.
- If the **HTF candle failed to break out**, they know the market is **ranging**, avoiding unnecessary trades.
---
### **Final Thoughts:**
This indicator is a **powerful addition for traders who combine multiple timeframes** in their analysis. It provides a **clean and structured way to track HTF price movements** without cluttering the chart or requiring constant manual switching between timeframes. Whether used for **intraday trading, swing trading, or scalping**, it adds an extra layer of confirmation for trade entries and exits.
🔹 **Best for traders who:**
- Want **HTF structure awareness while trading lower timeframes**.
- Need **confirmation of breakouts, failed breakouts, or indecision zones**.
- Prefer a **non-repainting tool that only updates after confirmed HTF closes**.
Let me know if you want any adjustments or additional features! 🚀
XAU/EUR Beginner-Friendly Strategy💡 Why This Strategy Sells Itself
3-in-1 Powerhouse: Merges institutional order flow analysis (Smart Money), trend mechanics, and built-in hedge alerts
Backtested Edge: 58.7% win rate on 2023 XAU/EUR data with 1:2 risk/reward
Beginner-Friendly: Auto-drawn entry boxes with stop loss/profit targets (no guesswork)
Market Proof: Generates returns in both trends and ranges via hedge alerts
🎯 Perfect For Traders Who...
Want to decode gold's institutional footprints
Need clear "green light/red light" trade signals
Struggle with emotional exits (auto-SL/TP built-in)
Missed the $200 gold rally in Q1 2024
📊 How It Works (In Simple Terms)
1. Institutional Radar
Spots "order blocks" where banks accumulate positions
Example: If gold plunges then reverses sharply, marks that zone
2. Trend Turbocharger
9/21 EMAs act as runway lights (green when trending)
Only trades in trend direction (bullish/bearish filters)
3. Hedge Shield
Flashes blue/orange alerts at extremes (RSI 30/70)
Lets you profit from pullbacks while holding core positions
4. Auto-Pilot Risk Mgmt
Stop loss at last swing low/high (protects capital)
Take profit = 2x risk (banker-grade money math)
📈 Client ROI Breakdown
Scenario Account Size Monthly Trades Expected Return*
Conservative $10,000 15 trades $1,800 (18%)
Aggressive $50,000 30 trades $9,000 (18%)
*Based on 58.7% win rate at 1:2 RR
🎁 What You Get Today ($997 Value)
Pro Strategy Code (Lifetime access)
VIP Setup Guide (15-minute install video)
XAU/EUR Session Cheat Sheet (Best times to trade)
24/7 Discord Support (Expert Q&A;)
✨ "Gold Standard" Bonuses
Hedging Masterclass ($297 Value) - Protect positions during ECB/Fed news
Smart Money Screener - Spot institutional moves across 20+ pairs
Live Trade Alerts - Mirror my personal XAU/EUR trades for 30 days
📲 How to Use It (3 Simple Steps)
Load & Go
Paste code into TradingView (5-minute setup)
Watch tutorial:
Read the Signals
🟢 Green Box = Buy with Entry/SL/TP
🔴 Red Box = Sell with Entry/SL/TP
💠 Blue Flash = Hedge Opportunity
Execute & Manage
Risk 1-2% per trade (auto-calculated)
Let profits run to target (no emotion)
⚠️ Warning: This Isn't For...
Get-rich-quick dreamers (requires discipline)
Indicator junkies (this replaces 5+ tools)
Bitcoin gamblers (gold moves differently)
