RSI of Accumulation/DistributionHow to Use the RSI of Accumulation/Distribution Indicator:
1. Identify Overbought/Oversold Conditions:
Overbought: When the RSI of the ADL is above 70, it indicates that the asset may be overbought and could be due for a pullback or correction.
Oversold: When the RSI of the ADL is below 30, it suggests that the asset may be oversold and could be poised for a rebound.
2. Look for Divergences:
Bullish Divergence: If the price is making lower lows while the RSI of the ADL is making higher lows, it can signal a potential reversal to the upside.
Bearish Divergence: If the price is making higher highs while the RSI of the ADL is making lower highs, it can indicate a potential reversal to the downside.
3. Confirm Trend Strength:
Use the RSI of the ADL to confirm the strength of a trend. For example, if the RSI is consistently above 50 during an uptrend, it suggests strong buying pressure and the trend is likely to continue.
Conversely, if the RSI is consistently below 50 during a downtrend, it indicates strong selling pressure and the trend is likely to persist.
4. Monitor for Reversals:
When the RSI of the ADL crosses above 50, it can signal a potential bullish reversal.
When the RSI of the ADL crosses below 50, it can signal a potential bearish reversal.
Is It Worth It?
The RSI of the Accumulation/Distribution Line can be a valuable tool for traders looking to gain insights into market momentum and trend strength. Here are a few reasons why it might be worth considering:
1. Volume and Price Combination: By combining price action (RSI) with volume-based analysis (ADL), this indicator provides a more comprehensive view of market dynamics.
2. Divergence Detection: It helps identify divergences between price and volume, which can be early signals of potential reversals.
3. Trend Confirmation: It offers additional confirmation of trend strength and potential reversal points, helping traders make more informed decisions.
However, like any indicator, it's important to use it in conjunction with other analysis methods and not rely on it solely for trading decisions. Backtesting the indicator on historical data and combining it with other technical analysis tools can improve its effectiveness.
Feel free to test the script in TradingView and see how it performs in different market conditions. If you have any specific questions or need further assistance, let me know! 😊
Análise de Tendência
Volume Delta Imbalance Index [PhenLabs]📊 Volume Delta Imbalance Index (VDII)
Version: PineScript™ v6
Description
The Volume Delta Imbalance Index is an advanced technical analysis tool that combines volume profile analysis with price movement dynamics to identify significant market imbalances. It features a sophisticated analysis system that weighs recent versus historical volume delta imbalance patterns, providing traders with insights into potential market reversals and trend continuation scenarios.
Points of Innovation:
Custom volume delta calculation incorporating price and volume relationships
Adaptive smoothing system based on market volatility
Multi-component analysis combining flow, acceleration, and strength metrics
Real-time volume profile integration with historical context
🔧 Core Components
Volume Profile Analysis: Dynamic volume delta imbalance distribution assessment
Flow Imbalance Detection: Buy/sell pressure evaluation
Strength Analysis: Composite market strength measurement
Acceleration Framework: Volume movement dynamics
Statistical Bands: Adaptive threshold system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Volume Delta: Up to date volume imbalance measurement
Market Structure: Support/resistance level identification
Flow Analysis: Buy/sell pressure visualization
Acceleration Signals: Movement momentum detection
Adaptive Bands: Dynamic overbought/oversold levels
📈 Visualization
Color-coded Columns: Shows direction and strength of imbalance
Signal Lines: Strong buy/sell level indicators
Statistical Bands: Shows normal trading ranges
Gradient Fills: Indicates extreme market conditions
Dynamic Opacity: Reflects trend strength
📌 Usage Guidelines
The indicator offers several customization options:
Basic Settings:
Lookback Period: Analysis timeframe adjustment
Sensitivity Level: Signal response calibration
History Depth: Historical context range
Memory Setting: Recent vs. historical data weight
Visual Settings:
Color Scheme: Bullish/bearish signal colors
Signal Levels: Strong buy/sell thresholds
Band Display: Statistical range visualization
✅ Best Use Cases / Things To Look For:
Wait for establishment in the initial trend when the VDII comes back towards zero and the color of the volume becomes more faint
Once this is established and the VDII pushes through to the other side look for small retracements above the zero line on the VDII leading you to believe it is a likely area for price to retrace and continue in its prior direction
Make sure you see the volume bars become more faint in color to give yo further confluence price will continue in its priorly established direction
⚠️ Limitations
Requires sufficient volume data
Most effective in liquid markets
Historical depth affects calculation speed
Possible lag in highly volatile conditions
What Makes This Unique
Composite Volume Analysis: Combines multiple volume metrics
Adaptive Calculation: Adjusts to market volatility
Profile Integration: Incorporates volume profile analysis
Multi-component Scoring: Weighted analysis system
Memory-efficient Design: Optimized for real-time analysis
🔧 How It Works
The indicator processes market data through four main components:
1. Volume Profile Analysis:
Creates dynamic volume delta distribution profiles
Weights recent versus historical data
Identifies significant price levels
2. Flow Imbalance Detection:
Analyzes buying versus selling pressure
Calculates normalized flow ratios
Determines market bias
3. Strength Analysis:
Measures composite market strength
Incorporates volume-weighted movements
Provides trend strength indication
4. Final Score Calculation:
Combines all components with weighted importance
Applies volatility-based smoothing
Generates final signal output
5. VDII Potential Reversal Confluences
Bars between signal confluence is default set to 10 but you can change it to whatever you’d prefer
Signals are a compiled look at the indicator as a whole determining where it think reversals or retracements are likely
💡 Note:
The indicator performs best in markets with consistent volume and clear trending or ranging conditions. Its sophisticated volume analysis provides valuable insights into market dynamics beyond traditional price-based indicators.
SyakDan FX (Clear Version)**SyakDan FX (Clear Version) - Indicator Description**
### Overview:
SyakDan FX (Clear Version) is a comprehensive TradingView indicator designed for account management, trend identification, and automated trading signals. This script utilizes multiple moving averages, ATR-based stop-loss calculations, and Fibonacci-based pivot points to assist traders in making informed trading decisions.
### Features:
1. **Account Management Calculation:**
- The indicator dynamically adapts to the current timeframe.
- Customizable moving average (MA) types, including EMA, SMA, WMA, and HMA.
- ATR-based trailing stop and volatility assessment.
2. **Moving Averages & Trend Identification:**
- Configurable EMA lengths for three different moving averages.
- Dynamic selection of MA types (SMA, EMA, WMA, HMA) for flexibility.
- Different EMA lengths for low and high timeframes.
- Automatic detection of EMA crossovers and trend changes.
3. **Entry, Stop-Loss, and Take-Profit Calculation:**
- Enables automatic calculation of entry, stop-loss, and take-profit levels.
- ATR-based stop-loss placement.
- Multi-level take-profit targets (TP1, TP2, TP3, and Max TP).
- Visual representation of SL/TP levels using dynamic lines and labels.
4. **Alerts & Notifications:**
- Alerts for EMA crossovers (Buy & Sell signals).
- Additional alerts when EMA 2 crosses EMA 3, indicating strong signals.
5. **Pivot Point Calculations:**
- Calculates daily and weekly pivot points using Fibonacci and traditional methods.
- Helps traders identify key support and resistance levels.
### How It Works:
- The indicator plots three customizable moving averages on the chart.
- It detects crossovers between these moving averages to identify potential buy and sell signals.
- ATR (Average True Range) is used to set dynamic stop-loss and take-profit levels.
- Traders can enable or disable automatic SL/TP plotting.
- Alerts notify users when key trade signals occur.
- Fibonacci and traditional pivot points provide additional confluence for trading decisions.
### Customization Options:
- **MA Type Selection:** Choose from SMA, EMA, WMA, or HMA for each moving average.
- **EMA Length Adjustments:** Modify the lengths for short-term and long-term trends.
- **SL/TP Settings:** Enable or disable SL/TP plotting and customize their multipliers.
- **Alert Preferences:** Enable or disable alerts for trend crossovers.
### Ideal Usage:
- Traders using trend-following strategies based on moving averages.
- Those who want automated SL/TP placement for risk management.
- Anyone looking to integrate pivot points into their trading decisions.
This indicator provides a clean, structured approach to trading with automated analysis, reducing the need for manual calculations while offering strong risk management tools.
ORB-5Min + Adaptive 12/48 EMA + PDH/PDL
Overview:
This indicator combines the 5-Minute Opening Range Breakout (ORB), Adaptive 12/48 Exponential Moving Averages (EMAs), and Previous Day High/Low (PDH/PDL) levels to help traders identify key intraday levels and market trends.
Key Components and Logic:
5-Minute Opening Range Breakout (ORB):
Displays the high and low from the first 5-minute candle of the trading session.
Includes customizable opacity for the range fill.
Helps traders spot breakout opportunities and key support/resistance zones.
Adaptive 12/48 EMA System:
Displays EMAs for 9, 12, 48, and 200 periods.
The 12 EMA changes color based on whether the price is entirely above or below it.
The 48 EMA changes color depending on its relationship with the 12 EMA.
Provides dynamic trend identification and potential entry/exit signals.
Previous Day High/Low (PDH/PDL):
Displays the previous day’s high and low levels.
Useful for tracking key intraday support/resistance levels and potential reversal points.
Summary:
This script stands out by blending three popular intraday tools into a single comprehensive indicator. The combined visualization provides a layered market context that assists traders in making informed decisions quickly. The color-adaptive EMAs add clarity to trend direction, while the ORB and PDH/PDL levels highlight significant price zones for breakout or reversal trades.
How to Use:
Breakout Trades: Watch for price breaks above the ORB high or below the ORB low, especially when supported by EMA trends.
Trend Confirmation: Use the color-adaptive 12/48 EMA system to gauge momentum and market direction.
Reversal or Continuation: Observe how price reacts around PDH/PDL levels, especially if confluence with EMAs occurs.
This indicator is suitable for day traders seeking a clear and efficient way to track market structure, identify trends, and spot potential trade opportunities during regular market hours.
Normalized RSI Oscillator with DivergencesNormalized RSI with Divergences {A Next-Level Trading Tool}
The Normalized RSI with Divergences indicator is a powerful and innovative tool designed to enhance your trading precision. By normalizing the Relative Strength Index (RSI) and detecting divergences between the standard and normalized RSI, this script helps traders identify potential trend reversals and continuations with remarkable clarity.
Key Features
🔹 Advanced RSI Normalization
• Transforms the traditional RSI into a normalized range of , making overbought and oversold conditions more intuitive.
• Utilizes a dynamic lookback period to adapt to market conditions.
🔹 Divergence Detection for Smarter Trading
• Identifies Bullish, Hidden Bullish, Bearish, and Hidden Bearish divergences by analyzing RSI pivot points.
• Provides early signals of trend reversals and continuations for better trade execution.
🔹 Clear & Visual Trade Signals
• Divergences are automatically labeled on the chart:
o Bullish Divergence: 🟢 “Bull” (Green) – Possible upward reversal.
o Hidden Bullish Divergence: 🟢 “Hid.” (Lime) – Continuation of an uptrend.
o Bearish Divergence: 🔴 “Bear” (Red) – Possible downward reversal.
o Hidden Bearish Divergence: 🟠 “Hid.” (Orange) – Continuation of a downtrend.
🔹 Fully Customizable Inputs
• Adjust RSI period, normalization lookback, and divergence parameters to fit your strategy.
• Tailor the indicator to your preferred trading style and market conditions.
________________________________________
How It Works
🔹 RSI Normalization Formula:
Norm=2×(RSI−MinMax−Min)−1\text{Norm} = 2 \times \left(\frac{\text{RSI} - \text{Min}}{\text{Max} - \text{Min}}\right) - 1Norm=2×(Max−MinRSI−Min)−1
• Min & Max represent the lowest and highest RSI values over the selected lookback period.
🔹 Divergence Detection Process:
• Identifies pivot points in both the normalized RSI and the standard RSI.
• Compares their directions to detect potential trading signals.
🔹 Real-Time Chart Labeling:
• Uses label.new to visually highlight divergence points for quick and efficient decision-making.
________________________________________
Input Parameters
• Source: Price source for RSI calculation (Default: hlc3).
• Signal Period: RSI calculation period (Default: 50).
• Lookback Range: Normalization period (Default: 200, Max: 5000).
• Trend Length: Smoothing period for normalized RSI (Default: 5).
• Band Width: Center line & bands calculation period (Default: 34).
• Divergence Range: Lookback period for divergence detection (Default: 5).
________________________________________
How to Use
1. Add the script to your trading chart.
2. Customize the settings to match your trading approach.
3. Watch for divergence labels to identify potential market moves:
o 🟢 Bullish Divergence: Possible upward reversal.
o 🟢 Hidden Bullish Divergence: Continuation of an uptrend.
o 🔴 Bearish Divergence: Possible downward reversal.
o 🟠 Hidden Bearish Divergence: Continuation of a downtrend.
________________________________________
Why Use This Indicator?
✅ Enhanced RSI Analysis: Normalization simplifies overbought/oversold conditions.
✅ Crystal-Clear Divergence Signals: Instantly spot key trend shifts.
✅ Fully Customizable: Adjust settings for your specific strategy.
✅ Improve Trade Accuracy: Gain an edge with precise divergence detection.
________________________________________
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always conduct thorough research and backtesting before using it in live trading.
📜 License
This script is released under the Mozilla Public License 2.0.
Enjoy the Normalized RSI with Divergences indicator, and happy trading! 🚀📈
— Kerem Ertem
Peak Reaction Zones [BigBeluga]Peak Reaction Zones is an advanced Smart Money Concept (SMC) indicator that identifies the most recent swing high and swing low zones, helping traders determine premium and discount areas for optimal trade positioning.
🔵 Key Features:
Swing High & Low Zones:
Automatically detects the latest swing high and swing low levels.
Helps traders identify key reaction points where price is likely to respond.
Premium & Discount Concept:
The high zone represents a premium area, where price is overextended and may reverse.
The low zone represents a discount area, where price is undervalued and may bounce.
The midline dynamically marks the equilibrium of the range.
Adjustable Zone Width:
Users can fine-tune the width of the zones to match their trading style.
Wider zones capture broader reaction ranges, while narrower zones focus on precise levels.
Zone Retest Signals:
Blue markers appear when price retests the lower reaction zone, signaling potential support.
Orange markers appear when price retests the upper reaction zone, indicating possible resistance.
Price Labels for Key Levels:
Displays the price value of the swing high, swing low, and midline for quick reference.
Helps traders recognize major reaction points at a glance.
🔵 Usage:
Smart Money Trading: Utilize the premium and discount concept to align trades with institutional order flow.
Zone Reactions: Watch for price tests of reaction zones and use the retest signals to confirm potential reversals.
Midline Confirmation: If price holds above or below the midline, it can indicate directional bias.
Scalping & Swing Trading: Short-term traders can look for zone rejections, while swing traders can use the levels for trend continuation setups.
Peak Reaction Zones is a must-have tool for traders looking to trade with Smart Money Concepts, allowing for precise entries and exits based on key liquidity areas and market structure.
Pivot Points DWMWhat Is a Pivot Point?
A pivot point is a price level calculated from previous prices. It's used to indicate potential areas of support or resistance that offer attractive reward-to-risk setups for trades. The pivot point itself is simply the average of the intraday high and low and the closing price from the previous trading day. Trading above the pivot point on the subsequent day is thought to indicate ongoing bullish sentiment. Trading below the pivot point indicates bearish sentiment.
Non-Repainting
Candlestick Pattern Detector - Vijay PrasadOverview:
This Pine Script v6 indicator is designed to detect and label key candlestick patterns on TradingView charts. It provides real-time visual markers for major bullish and bearish reversal signals, aiding traders in decision-making.
Usefulness:
✅ Saves time by automating candlestick pattern detection.
✅ Reduces manual chart analysis errors.
✅ Works across all markets & timeframes.
✅ Enhances trading strategies with accurate signals.
Candlestick Patterns Recognises:
Bullish Engulfing – A strong bullish reversal pattern.
Bearish Engulfing – Indicates a potential downtrend.
Hammer – Suggests a market bottom or reversal.
Shooting Star – A bearish reversal signal at the top of an uptrend.
Doji – Signals market indecision and possible trend change.
Key Functions:
Automated Pattern Visible
Identifies candlestick patterns dynamically and plots them on the chart.
Visual Labels for Patterns
Labels to indicate specific candlestick formations.
Labels appear only when a valid pattern is detected, avoiding unnecessary clutter.
Buy/Sell Signal
Plots buy signals at bullish patterns and sell signals at bearish patterns.
Helps traders recognize trend reversals and entry/exit points.
Bullish Engulfing Pattern (Green Label)
What it means: A bullish engulfing pattern typically signals a potential reversal from a downtrend to an uptrend. The current candle fully engulfs the previous candle, signaling strong buying interest.
Identifying Candlestick Patterns on the Chart
How to use it:
Entry: Look for a green label (bullish engulfing) at the bottom of the chart. When it appears, consider entering a long position (buy).
Confirmation: To increase reliability, wait for confirmation by observing if price moves above the high of the bullish engulfing candle.
Exit: Exit when the trend shows signs of reversing or take profit at predefined levels (e.g., resistance or a risk-to-reward ratio).
Bearish Engulfing Pattern (Red Label)
What it means: A bearish engulfing pattern is a signal of a potential reversal from an uptrend to a downtrend. The current candle fully engulfs the previous candle, signaling strong selling pressure.
How to use it:
Entry: Look for a red label (bearish engulfing) at the top of the chart. When it appears, consider entering a short position (sell).
Confirmation: Wait for the price to move below the low of the bearish engulfing candle to confirm the bearish trend.
Exit: Close the trade when the price reaches support levels or the trend shows signs of reversing.
Doji Pattern (Blue Circle)
What it means: A Doji candle signals market indecision. It represents a balance between buyers and sellers, often marking a potential reversal or consolidation point.
How to use it:
Entry: If the Doji appears after a strong trend (bullish or bearish), wait for the next candle to break above or below the Doji's high or low. This can signal a continuation or reversal.
Confirmation: You can look for additional indicators like moving averages, RSI, or MACD for confirmation before taking any action.
Exit: Exit when the price shows clear momentum in your entry direction.
Hammer Pattern (Orange Triangle)
What it means: The hammer pattern is a bullish reversal pattern that appears after a downtrend. It suggests that sellers pushed the price down during the session, but buyers managed to push the price back up.
How to use it:
Entry: When a hammer appears, consider entering a long position (buy). The price should move above the hammer's high for confirmation.
Confirmation: Look for strong volume and a follow-up bullish candle to confirm the reversal.
Exit: Set a target based on the next resistance level, or use a trailing stop to lock in profits.
Using Candlestick Patterns with Other Indicators
To increase your chances of success, combine candlestick patterns with other technical indicators.
Here are some ideas:
RSI (Relative Strength Index): Use RSI to check whether the market is overbought or oversold. A bullish engulfing in an oversold market could indicate a stronger buy signal, and a bearish engulfing in an overbought market could indicate a stronger sell signal.
Moving Averages (e.g., 50 EMA, 200 EMA): Confirm trend direction. If the candlestick pattern aligns with the direction of the moving averages, it can give a stronger signal.
MACD (Moving Average Convergence Divergence): Use MACD to confirm momentum and potential trend changes. If a candlestick pattern aligns with a MACD crossover, it strengthens the signal.
Volume: Look for higher-than-average volume when a pattern appears. This can give you additional confirmation that the market is reacting strongly.
Practice and Refine
It's important to practice using the candlestick patterns in a demo account or backtest them to see how they perform under different market conditions. Over time, you can adjust the settings and patterns to fit your trading style and preferences.
TradFi Fundamentals: Momentum Trading with Macroeconomic DataIntroduction
This indicator combines traditional price momentum with key macroeconomic data. By retrieving GDP, inflation, unemployment, and interest rates using security calls, the script automatically adapts to the latest economic data. The goal is to blend technical analysis with fundamental insights to generate a more robust momentum signal.
Original Research Paper by Mohit Apte, B. Tech Scholar, Department of Computer Science and Engineering, COEP Technological University, Pune, India
Link to paper
Explanation
Price Momentum Calculation:
The indicator computes price momentum as the percentage change in price over a configurable lookback period (default is 50 days). This raw momentum is then normalized using a rolling simple moving average and standard deviation over a defined period (default 200 days) to ensure comparability with the economic indicators.
Fetching and Normalizing Economic Data:
Instead of manually inputting economic values, the script uses TradingView’s security function to retrieve:
GDP from ticker "GDP"
Inflation (CPI) from ticker "USCCPI"
Unemployment rate from ticker "UNRATE"
Interest rates from ticker "USINTR"
Each series is normalized over a configurable normalization period (default 200 days) by subtracting its moving average and dividing by its standard deviation. This standardization converts each economic indicator into a z-score for direct integration into the momentum score.
Combined Momentum Score:
The normalized price momentum and economic indicators are each multiplied by user-defined weights (default: 50% price momentum, 20% GDP, and 10% each for inflation, unemployment, and interest rates). The weighted components are then summed to form a comprehensive momentum score. A horizontal zero line is plotted for reference.
Trading Signals:
Buy signals are generated when the combined momentum score crosses above zero, and sell signals occur when it crosses below zero. Visual markers are added to the chart to assist with trade timing, and alert conditions are provided for automated notifications.
Settings
Price Momentum Lookback: Defines the period (in days) used to compute the raw price momentum.
Normalization Period for Price Momentum: Sets the window over which the price momentum is normalized.
Normalization Period for Economic Data: Sets the window over which each macroeconomic series is normalized.
Weights: Adjust the influence of each component (price momentum, GDP, inflation, unemployment, and interest rate) on the overall momentum score.
Conclusion
This implementation leverages TradingView’s economic data feeds to integrate real-time macroeconomic data into a momentum trading strategy. By normalizing and weighting both technical and economic inputs, the indicator offers traders a more holistic view of market conditions. The enhanced momentum signal provides additional context to traditional momentum analysis, potentially leading to more informed trading decisions and improved risk management.
The next script I release will be an improved version of this that I have added my own flavor to, improving the signals.
Pivot Candles with MFI Opacity (No Plot)How to Use the Pivot Candles with MFI Opacity Indicator for Trade Entries and Position Management
Overview
This indicator is designed not only to display key pivot levels (support and resistance) and Money Flow Index (MFI) signals on your chart, but also to help you structure systematic order entries and position management. By combining pivot levels with dynamic MFI-based candle opacity, the indicator provides a visual framework that technical analysts and quants can use to time buy and sell stop orders as well as to pyramid positions or take profits.
Trade Entry with Pivot Levels
Buy Stop Orders Above R1:
Concept: In many technical setups, resistance levels such as R1 are viewed as potential breakout points. A buy stop order placed just above R1 allows you to enter a long position only when price decisively breaks the prior resistance, confirming bullish momentum.
How It Works:
The indicator calculates pivot levels based on the previous higher‑timeframe bar, so R1 is “locked in” for the current period.
When the current candle closes above R1, it may signal a breakout.
Technical analysts often place a buy stop order slightly above R1 (for example, a few ticks or pips above the level) to confirm the move.
Practical Application:
Quants and systematic traders can program their models to monitor when the current close exceeds R1.
Once this condition is met, a buy stop order is triggered to capture the breakout move, ensuring that you only participate if the price decisively moves upward.
Sell Stop Orders Below S1:
Concept: Conversely, S1 acts as a support level. A sell stop order placed just below S1 is designed to capture a breakdown. This order is activated when price closes below S1, indicating that selling pressure may be overwhelming.
How It Works:
With pivot levels fixed from the previous higher‑timeframe bar, S1 provides a reference for potential support.
A close below S1 can be interpreted as a sign of a bearish reversal or a continuation of a downtrend.
Practical Application:
Quants set up their systems to watch for a break below S1.
A sell stop order is positioned just below S1 to ensure that if the support level fails, the system can quickly initiate a short position to capture the downward move.
Using MFI for Position Management
Pyramiding and Profit Taking:
Dynamic Candle Opacity:
The Money Flow Index (MFI) in this indicator not only provides overbought/oversold alerts but also controls the opacity of your candlesticks. When MFI readings are high, the candles become more opaque, indicating strong buying pressure. Conversely, lower MFI values lead to more transparent candles, suggesting reduced momentum.
Pyramiding Long Positions:
Strategy:
In a strong trend, technical analysts might choose to add to a winning position gradually—a process known as pyramiding.
Implementation:
As long as the price remains above R1 and MFI readings are supportive (high and consistent), you may consider adding to your long position incrementally.
Each new buy stop order can be set above R1 with slightly adjusted trigger levels to capture further breakout strength.
Risk Management:
Quants use the MFI reading as a risk filter; if MFI begins to drop or the candles become significantly more transparent, it may be a cue to stop pyramiding or even begin taking profits.
Taking Profit Using MFI and Pivot Reversals:
Profit Targeting:
When price reaches higher resistance levels (e.g., R2 or R3) or shows signs of overextension in conjunction with extreme MFI levels (for instance, a sudden drop in MFI after a strong rally), you can begin taking partial profits.
Systematic Exit:
A systematic strategy might include scaling out of the position as the price approaches the next resistance level or when the MFI indicates that buying momentum is waning.
Similarly, for short positions entered below S1, profit targets might be set near subsequent support levels, with exits triggered if MFI suggests a reversal.
Summary
Entry Orders:
Place buy stop orders just above R1 to capture breakouts.
Place sell stop orders just below S1 to capture breakdowns.
Position Management with MFI:
Use MFI-based candle opacity as a visual indicator of momentum.
Pyramid positions in the direction of the trend when MFI confirms strength.
Consider partial exits if MFI readings start to reverse or if the price nears the next pivot level.
By following this systematic approach, technical analysts and quants can use the indicator not only as a visual tool but as an integral part of an automated or semi-automated trading system that emphasizes disciplined entries, pyramiding, and profit-taking.
Midnight Range Standard DeviationsCredit to Lex Fx for the basic framework of this script
This indicator is designed to assist traders in identifying potential trading opportunities based on the Intraday Concurrency Technique (ICT) concepts, specifically the midnight range deviations and their relationship to Fibonacci levels. It builds upon the work of Lex-FX, whom we gratefully acknowledge for the original concept and inspiration for this indicator.
Core Concept: ICT Midnight Range
The core of this indicator revolves around the concept of the midnight range. According to ICT, the high and low formed in a specific time window (typically the first 30 minutes after midnight, New York Time) can serve as a key reference point for intraday price action. The indicator identifies this range and projects potential support and resistance levels based on deviations from this range, combined with Fibonacci ratios.
How ICT Uses Midnight Range Deviations
ICT methodology often involves looking for price to move away from the initial midnight range, then return to it, or deviate beyond it, as key areas for potential entries.
Range Identification: The indicator automatically identifies the high and low of the midnight range (00:00 - 00:30 NY Time).
Deviation Levels: The indicator calculates and displays deviation levels based on multiples of the initial midnight range. These levels are often used to identify potential areas of support and resistance, as well as potential targets for price movement. These levels can be set in the additional fib levels section, which can be configured in increments of .5 deviations all the way up to 12 deviations.
Fibonacci Confluence: ICT often emphasizes the confluence of multiple factors. This indicator adds Fibonacci levels to the midnight range deviations. This allows traders to identify areas where Fibonacci retracements or extensions align with the deviation levels, potentially creating stronger areas of support or resistance.
Looking for Sweeps: ICT often uses these levels to look for times that the high and low are swept as potential areas of liquidity, indicating the start of potential continuations.
Time-Based Analysis: The time at which price interacts with these levels can also be significant in ICT. The indicator provides options to extend the range lines to specific times (e.g., 3 hours, 6 hours, 10 hours, 12 hours, or a custom defined time) after midnight, allowing traders to focus on specific periods of the trading day.
Indicator Settings Explained:
Time Zone (TZ): Defines the time zone used for calculating the midnight range. The default is "America/New_York".
Range High Color, Range Low Color, Range Mid Color: Customize the colors of the high, low, and mid-range lines.
Range Fill Color: Sets the fill color for the area between the range high and low.
Line Style: Choose the style of the range lines (solid, dashed, dotted).
Range Line Thickness: Adjust the thickness of the range lines for better visibility.
Show Fibonacci Levels: Enable or disable the display of Fibonacci deviation levels.
Fib Up Color, Fib Down Color: Customize the colors of the Fibonacci levels above (up) and below (down) the midnight range.
Show Trendline: Enables a trendline that plots the close price, colored according to whether the price is above the high, below the low, or within the midnight range.
Show Range Lines, Show Range Labels: Toggles the visibility of the range lines and their associated labels.
Label Size: Adjust the size of the labels for better readability.
Hide Prices: Option to display only the deviation values on labels, hiding price values.
Place Fibonacci Labels on Left Side: Option to switch label position from right side to left side.
Extend Range To (Hours from Midnight): This section gives you a wide variety of options on how far you want to extend the range to, you can do 3,6,10,12, and 23 hours. Alternatively, you can select the "Use Custom Length" and set a specific time in hours.
Additional Fib Levels: This section allows the trader to set additional deviation points in increments of .5 deviations from .5 all the way up to 12 deviations
TradingView Community Guidelines Compliance:
This indicator description adheres to the TradingView community guidelines by:
Being educational: It explains the ICT methodology and how the indicator can be used in trading.
Being transparent: It clearly describes all the indicator's settings and their purpose.
Providing credit: It acknowledges Lex-FX as the original author of the concept.
Avoiding misleading claims: It does not guarantee profits or imply that the indicator is a "holy grail."
Disclaimer: Usage of this indicator and the information provided is at your own risk. The author is not responsible for any losses incurred as a result of using this indicator.
Important Considerations:
This indicator is intended for educational purposes and to assist in applying the ICT methodology.
It should not be used as a standalone trading system.
Always combine this indicator with other forms of technical analysis and risk management techniques.
Backtest thoroughly on your chosen market and timeframe before using in live trading.
Trading involves risk. Only trade with capital you can afford to lose.
Candle Partition Statistics with IQV and Chi2NOTE: THE FORMULA IN THE CHART IS NOT PART OF THE CODE
This Pine Script calculates statistical measures for candle partitions based on whether a candle is bullish or bearish and whether the price is above or below an EMA. It evaluates statistical properties such as the Index of Qualitative Variation (IQV) and the Chi-Square (χ²) statistic to assess variations in price action.
Concept of Index of Qualitative Variation (IQV)
IQV is a statistical measure used to quantify the diversity or dispersion of categorical variables. In this script, it is used to measure how evenly the four categories of candles (green above EMA, red above EMA, green below EMA, red below EMA) are distributed.
Purpose of IQV in the Script:
IQV ranges from 0 to 1, where 0 indicates no variation (one category dominates) and 1 indicates maximum variation (categories are equally distributed).
A high IQV suggests balanced distributions of bullish/bearish candles above/below the EMA, indicating market uncertainty or mixed sentiment.
A low IQV suggests dominance of a particular candle type, indicating a strong trend.
Concept of Chi-Square (χ²) Test
Chi-square (χ²) is a statistical test that measures the difference between expected and observed frequencies of categorical data. It assesses whether short-term price behavior significantly deviates from historical trends.
Purpose of Chi-Square in the Script:
A high χ² value means that short-term candle distributions are significantly different from historical patterns, indicating potential trend shifts.
If χ² exceeds a predefined significance threshold (chi_threshold), an alert (Chi² Alert!) is triggered.
It helps traders identify periods where recent price behavior deviates from historical norms, possibly signaling trend reversals or market regime changes.
Key Takeaways:
IQV helps measure the diversity of price action, detecting whether the market is balanced or trending.
Chi-square (χ²) identifies significant deviations in short-term price behavior compared to long-term trends.
Both metrics together provide insights into whether the market is stable, trending, or shifting.
The Nasan C-score enhances trend strength by incorporating volatility. It is calculated as:
enhanced_t_s =(𝑡𝑠 × avg_movement x 100)/SMA(𝑐lose)
Key Components:
𝑡𝑠 : Measures trend strength based on price movements relative to EMA.
ts=green_EMAup_a+0.5×red_EMAup_a−(0.5×green_EMAdown_a+red_EMAdown_a)
avg_movement: The SMA of absolute close-open differences, capturing volatility.
Normalization: The division by SMA(close) adjusts the score relative to price levels.
Purpose of the Nasan C-score
Enhanced Trend Strength
It amplifies the trend strength value by factoring in volatility (price movement).
If price volatility is high, trend strength variations have a greater impact.
Volatility-Adjusted Momentum
By scaling 𝑡𝑠 with average movement, the score adjusts to changing price dynamics.
Higher price fluctuations lead to a higher score, making trend shifts more prominent.
How It Can Be Used in Trading
Higher values of Nasan C-score indicate strong bullish or bearish trends.
Comparing it with past values helps determine whether momentum is increasing or fading.
Thresholds can be set to identify significant trend shifts based on historical highs and lows.
TASC 2025.03 A New Solution, Removing Moving Average Lag█ OVERVIEW
This script implements a novel technique for removing lag from a moving average, as introduced by John Ehlers in the "A New Solution, Removing Moving Average Lag" article featured in the March 2025 edition of TASC's Traders' Tips .
█ CONCEPTS
In his article, Ehlers explains that the average price in a time series represents a statistical estimate for a block of price values, where the estimate is positioned at the block's center on the time axis. In the case of a simple moving average (SMA), the calculation moves the analyzed block along the time axis and computes an average after each new sample. Because the average's position is at the center of each block, the SMA inherently lags behind price changes by half the data length.
As a solution to removing moving average lag, Ehlers proposes a new projected moving average (PMA) . The PMA smooths price data while maintaining responsiveness by calculating a projection of the average using the data's linear regression slope.
The slope of linear regression on a block of financial time series data can be expressed as the covariance between prices and sample points divided by the variance of the sample points. Ehlers derives the PMA by adding this slope across half the data length to the SMA, creating a first-order prediction that substantially reduces lag:
PMA = SMA + Slope * Length / 2
In addition, the article includes methods for calculating predictions of the PMA and the slope based on second-order and fourth-order differences. The formulas for these predictions are as follows:
PredictPMA = PMA + 0.5 * (Slope - Slope ) * Length
PredictSlope = 1.5 * Slope - 0.5 * Slope
Ehlers suggests that crossings between the predictions and the original values can help traders identify timely buy and sell signals.
█ USAGE
This indicator displays the SMA, PMA, and PMA prediction for a specified series in the main chart pane, and it shows the linear regression slope and prediction in a separate pane. Analyzing the difference between the PMA and SMA can help to identify trends. The differences between PMA or slope and its corresponding prediction can indicate turning points and potential trade opportunities.
The SMA plot uses the chart's foreground color, and the PMA and slope plots are blue by default. The plots of the predictions have a green or red hue to signify direction. Additionally, the indicator fills the space between the SMA and PMA with a green or red color gradient based on their differences:
Users can customize the source series, data length, and plot colors via the inputs in the "Settings/Inputs" tab.
█ NOTES FOR Pine Script® CODERS
The article's code implementation uses a loop to calculate all necessary sums for the slope and SMA calculations. Ported into Pine, the implementation is as follows:
pma(float src, int length) =>
float PMA = 0., float SMA = 0., float Slope = 0.
float Sx = 0.0 , float Sy = 0.0
float Sxx = 0.0 , float Syy = 0.0 , float Sxy = 0.0
for count = 1 to length
float src1 = src
Sx += count
Sy += src
Sxx += count * count
Syy += src1 * src1
Sxy += count * src1
Slope := -(length * Sxy - Sx * Sy) / (length * Sxx - Sx * Sx)
SMA := Sy / length
PMA := SMA + Slope * length / 2
However, loops in Pine can be computationally expensive, and the above loop's runtime scales directly with the specified length. Fortunately, Pine's built-in functions often eliminate the need for loops. This indicator implements the following function, which simplifies the process by using the ta.linreg() and ta.sma() functions to calculate equivalent slope and SMA values efficiently:
pma(float src, int length) =>
float Slope = ta.linreg(src, length, 0) - ta.linreg(src, length, 1)
float SMA = ta.sma(src, length)
float PMA = SMA + Slope * length * 0.5
To learn more about loop elimination in Pine, refer to this section of the User Manual's Profiling and optimization page.
Advanced Liquidity Trap & Squeeze Detector [MazzaropiYoussef]DESCRIPTION:
The "Advanced Liquidity Trap & Squeeze Detector" is designed to identify potential liquidity traps, short and long squeezes, and market manipulation based on open interest, funding rates, and aggressive order flow.
KEY FEATURES:
- **Relative Open Interest Normalization**: Avoids scale discrepancies across different timeframes.
- **Liquidity Trap Detection**: Identifies potential bull and bear traps based on open interest and funding imbalances.
- **Squeeze Identification**: Highlights conditions where aggressive buyers or sellers are trapped before a reversal.
- **Volume Surge Confirmation**: Alerts when abnormal volume activity supports liquidity events.
- **Customizable Parameters**: Adjust thresholds to fine-tune detection sensitivity.
HOW IT WORKS:
- **Long Squeeze**: Triggered when relative open interest is high, funding is negative, and aggressive selling occurs.
- **Short Squeeze**: Triggered when relative open interest is high, funding is positive, and aggressive buying occurs.
- **Bull Trap**: Triggered when relative open interest is high, funding is positive, and price crosses above the trend line but fails.
- **Bear Trap**: Triggered when relative open interest is high, funding is negative, and price crosses below the trend line but fails.
USAGE:
- This indicator is useful for traders looking to anticipate reversals and avoid being caught in market manipulation events.
- Works best in combination with order book analysis and volume profile tools.
- Can be applied to crypto, forex, and other leveraged markets.
**/
Stick Sandwich Pattern# Stick Sandwich Pattern Indicator
## Description
The Stick Sandwich Pattern Indicator is a custom TradingView script that identifies specific three-candle patterns in financial markets. The indicator uses a sandwich emoji (🥪) to mark pattern occurrences directly on the chart, making it visually intuitive and easy to spot potential trading opportunities.
## Pattern Types
### Bullish Stick Sandwich
A bullish stick sandwich pattern is identified when:
- First candle: Bullish (close > open)
- Second candle: Bearish (close < open)
- Third candle: Bullish (close > open)
- The closing price of the third candle is within 10% of the first candle's range from its closing price
### Bearish Stick Sandwich
A bearish stick sandwich pattern is identified when:
- First candle: Bearish (close < open)
- Second candle: Bullish (close > open)
- Third candle: Bearish (close < open)
- The closing price of the third candle is within 10% of the first candle's range from its closing price
## Technical Implementation
- Written in Pine Script v5
- Runs as an overlay indicator
- Uses a 10% tolerance range for closing price comparison
- Implements rolling pattern detection over the last 3 candles
- Break statement ensures only the most recent pattern is marked
## Visual Features
- Bullish patterns: Green sandwich emoji above the pattern
- Bearish patterns: Red sandwich emoji below the pattern
- Label size: Small
- Label styles:
- Bullish: Label points upward
- Bearish: Label points downward
## Usage
1. Add the indicator to your TradingView chart
2. Look for sandwich emojis that appear above or below price bars
3. Green emojis indicate potential bullish reversals
4. Red emojis indicate potential bearish reversals
## Code Structure
- Main indicator function with overlay setting
- Two separate functions for pattern detection:
- `bullishStickSandwich()`
- `bearishStickSandwich()`
- Pattern scanning loop that checks the last 3 candles
- Built-in label plotting for visual identification
## Formula Details
The closing price comparison uses the following tolerance calculation:
```
Tolerance = (High - Low of first candle) * 0.1
Valid if: |Close of third candle - Close of first candle| <= Tolerance
```
## Notes
- The indicator marks patterns in real-time as they form
- Only the most recent pattern within the last 3 candles is marked
- Pattern validation includes both candle direction and closing price proximity
- The 10% tolerance helps filter out weak patterns while catching meaningful ones
## Disclaimer
This indicator is for informational purposes only. Always use proper risk management and consider multiple factors when making trading decisions.
ADX with Moving AverageADX with Moving Average is a powerful indicator that enhances trend analysis by combining the standard Average Directional Index (ADX) with a configurable moving average.
The ADX helps traders identify the strength of a trend. In general:
ADX 0-20 – Absent or Weak Trend
ADX 25-50 – Strong Trend
ADX 50-75 – Very Strong Trend
ADX 75-100 – Extremely Strong Trend
By adding a moving average we can judge if the ADX itself is trending upwards or downwards, i.e. if a new trend is emerging or an existing one is weakening.
This combination allows traders to better confirm strong trends and filter out weak or choppy market conditions.
Key Features & Customization:
✔ Configurable DI & ADX Lengths – Adjust how quickly the ADX reacts to price movements (default: 14, 14).
✔ Multiple Moving Average Options – Choose between SMA, EMA, WMA, VWMA, or T3 for trend confirmation.
✔ Custom MA Length – Fine-tune the sensitivity of the moving average to match your strategy.
🔹 Use this indicator to confirm strong trends before entering trades, filter out false signals, or refine existing strategies with a dynamic trend-strength component. 🚀
OI RSI - WuJianDAOOI RSI (Open Interest Relative Strength Index)
Overview: OI RSI is a technical indicator that applies the RSI concept to open interest data.
Key Features:
Traditional vs. OI RSI:
Traditional RSI measures price movements to identify overbought or oversold conditions.
OI RSI computes the relative strength of open interest over a specified period.
Purpose:
Provides insights into market participation and sentiment by evaluating open interest levels.
Application:
Assists traders in detecting potential reversals or confirming trends based on open interest dynamics.
Pre-Market High & LowIndicator: Pre-Market High & Low
This indicator tracks the high and low price levels of a stock during the pre-market session (4:00 AM - 9:30 AM EST), before the official market open. It dynamically updates during pre-market hours, identifying the highest and lowest prices reached. Once the pre-market session ends, these levels are saved and plotted on the chart as reference points for the regular market session.
Key Features:
Dynamic Updates: Continuously tracks the high and low during pre-market hours.
Visual Indicators: Plots horizontal lines representing the pre-market high (green) and low (red).
Post-Market Reference: Once pre-market ends, these levels remain visible for the regular market session as reference points for potential breakout or breakdown levels.
How to Use:
Use this indicator to identify potential breakout or breakdown levels that may happen at the market open.
The green line represents the highest price reached during pre-market, while the red line indicates the lowest price.
The indicator will stop updating once the pre-market session closes (9:30 AM EST) and will remain visible as reference levels throughout the trading day.
Ideal for:
Day traders looking for pre-market support and resistance levels.
Traders analyzing the initial market reaction based on pre-market price action.
MT-Trend Zone IdentifierTrend Zone Identifier – A Dynamic Market Trend Mapping Tool
Overview
The Trend Zone Identifier is an advanced TradingView indicator that helps traders visualize different market trend phases. By leveraging Pivot Points, Moving Averages (MA), ADX (Average Directional Index), and Retest Confirmation, this tool identifies uptrend, downtrend, and ranging (sideways) conditions dynamically.
This indicator is designed to segment the market into clear trend zones, allowing traders to distinguish between confirmed trends, trend transitions (pending zones), and ranging markets. It provides an intuitive visual overlay to enhance market structure analysis and assist in decision-making.
Key Features
✔ Trend Zone Identification – Classifies price action into Uptrend (Green), Downtrend (Red), Pending Confirmation (Light Colors), and Sideways Market (Gray/Neutral)
✔ Pivot-Based Breakout & Breakdown Detection – Uses pivot highs/lows to determine trend shifts
✔ Moving Average & ADX Validation – Ensures the trend is backed by MA structure and ADX trend strength
✔ Pullback Confirmation – Allows trend confirmation based on price retesting key levels
✔ Extreme Volatility & Gaps Filtering – Optional ATR-based extreme movement filtering to avoid false signals
✔ Multi-Timeframe Support – Option to integrate higher timeframe trend validation
✔ Customizable Sensitivity – Fine-tune MA smoothing, ADX thresholds, pivot detection, and pullback range
How It Works
1. Trend Classification
• Uptrend (Green): Price is above a key MA, ADX confirms strength, and a pivot breakout occurs
• Downtrend (Red): Price is below a key MA, ADX confirms strength, and a pivot breakdown occurs
• Pending Trend (Light Colors): Initial trend breakout or breakdown is detected but requires further confirmation
• Sideways/Ranging (Gray): ADX signals a weak trend, and price remains within a neutral zone
2. Retest & Confirmation Logic
• A trend is only confirmed after a breakout or breakdown followed by a successful retest
• If the market fails the retest, the indicator resets to a neutral state
3. Custom Filters for Optimization
• Enable or disable volume filtering for confirmation
• Adjust pivot sensitivity to detect major or minor swing points
• Choose to require consecutive bars confirming the breakout/breakdown
Ideal Use Cases
🔹 Swing traders who want to capture trend transitions early
🔹 Trend-following traders who rely on confirmed market cycles
🔹 Range traders looking to identify sideways market zones
🔹 Algorithmic traders who need clean trend segmentation for automated strategies
Final Thoughts
The Trend Zone Identifier is a versatile market structure indicator that helps traders define trend cycles visually and avoid trading against weak trends. By providing clear breakout, breakdown, and retest conditions, it enhances market clarity and reduces decision-making errors.
➡ Add this to your TradingView workspace and start analyzing market trends like a pro! 🚀
ChillLax Relative Strength Line with NewHigh NewLow Blue DotThis is similar to the IBD MarketSurge (MarketSmith) Blue Dot:
This plots the Relative Strength line vs. an index (default index is SPX), with a Dot when the RS line is hitting a New High.
If the RS hits a New High over the past X bars (default is 50), it shows a Light Blue (user definable) Dot on the RS line, if RS hits New High before the instrument hits New High, it shows a bigger/darker Blue Dot. Reverse for New Lows (orange for RS NL, Red for RS NL before Price NL)
This Dot is similar to the IBD Marketsurge RS New High Blue Dot, this indicator shows all the previous dots (MarketSurge shows only the last one). This on, unlike IBD, also shows RS New Lows. This one distinguishes RS NH before Price NH, and RS NL before Price NL. Lastly, IBD's lookback period is 52 week, here it is default to 50 days, but it is changeable.
Blockchain Fundamentals: Liquidity Cycle MomentumLiquidity Cycle Momentum Indicator
Overview:
This indicator analyzes global liquidity trends by calculating a unique Liquidity Index and measuring its year-over-year (YoY) percentage change. It then applies a momentum oscillator to the YoY change, providing insights into the cyclical momentum of liquidity. The indicator incorporates a limited historical data workaround to ensure accurate calculations even when the chart’s history is short.
Features Breakdown:
1. Limited Historical Data Workaround
Function: The limit(length) function adjusts the lookback period when there isn’t enough historical data (i.e., near the beginning of the chart), ensuring that calculations do not break due to insufficient data.
2. Global Liquidity Calculation
Data Sources:
TVC:CN10Y (10-year yield from China)
TVC:DXY (US Dollar Index)
ECONOMICS:USCBBS (US Central Bank Balance Sheet)
FRED:JPNASSETS (Japanese assets)
ECONOMICS:CNCBBS (Chinese Central Bank Balance Sheet)
FRED:ECBASSETSW (ECB assets)
Calculation Methodology:
A ratio is computed (cn10y / dxy) to adjust for currency influences.
The Liquidity Index is then derived by multiplying this ratio with the sum of the other liquidity components.
3. Year-over-Year (YoY) Percent Change
Computation:
The indicator determines the number of bars that approximately represent one year.
It then compares the current Liquidity Index to its value one year ago, calculating the YoY percentage change.
4. Momentum Oscillator on YoY Change
Oscillator Components:
1. Calculated using the Chande Momentum Oscillator (CMO) applied to the YoY percent change with a user-defined momentum length.
2. A weighted moving average (WMA) that smooths the momentum signal.
3. Overbought and Oversold zones
Signal Generation:
Buy Signal: Triggered when the momentum crosses upward from an oversold condition, suggesting a potential upward shift in liquidity momentum.
Sell Signal: Triggered when crosses below an overbought condition, indicating potential downward momentum.
State Management:
The indicator maintains a state variable to avoid repeated signals, ensuring that a new buy or sell signal is only generated when there’s a clear change in momentum.
5. Visual Presentation and Alerts
Plots:
The oscillator value and signalline are plotted for visual analysis.
Overbought and oversold levels are marked with dashed horizontal lines.
Signal Markers:
Buy and sell signals are marked with green and maroon circles, respectively.
Background Coloration:
Optionally, the chart’s background bars are colored (yellow for buy signals and fuchsia for sell signals) to enhance visual cues when signals are triggered.
Conclusion
In summary, the Liquidity Cycle Momentum Indicator provides a robust framework to analyze liquidity trends by combining global liquidity data, YoY changes, and momentum oscillation. This makes it an effective tool for traders and analysts looking to identify cyclical shifts in liquidity conditions and potential turning points in the market.
SMA with Std Dev Bands (Futures/US Stocks RTH)Rolling Daily SMA With Std Dev Bands
Upgrade your technical analysis with Rolling Daily SMA With Std Dev Bands, a powerful indicator that dynamically adjusts to your trading instrument. Whether you’re analyzing futures or US stocks during regular trading hours (RTH), this indicator seamlessly applies the correct logic to calculate a rolling daily Simple Moving Average (SMA) with customizable standard deviation bands for precise trend and volatility tracking.
Key Features:
✅ Automatic Instrument Detection– The indicator automatically recognizes whether you're trading futures or US equities and applies the correct daily lookback period based on your chart’s timeframe.
- Futures: Uses full trading day lengths (e.g., 1380 bars for 1‑minute charts).
- US Stocks (RTH): Uses regular session lengths (e.g., 390 bars for 1‑minute charts).
✅ Rolling Daily SMA (3‑pt Purple Line) – A continuously updated daily moving average, giving you an adaptive trend indicator based on market structure.
✅ Three Standard Deviation Bands (1‑pt White Lines) –
- Customizable multipliers allow you to adjust each band’s width.
- Toggle each band on or off to tailor the indicator to your strategy.
- The inner band area is color-filled: light green when the SMA is rising, light red when falling, helping you quickly identify trend direction.
✅ Works on Any Chart Timeframe – Whether you trade on 1-minute, 3-minute, 5-minute, or 15-minute charts, the indicator adjusts dynamically to provide accurate rolling daily calculations.
# How to Use:
📌 Identify Trends & Volatility Zones – The rolling daily SMA acts as a dynamic trend guide, while the standard deviation bands help spot potential overbought/oversold conditions.
📌 Customize for Precision – Adjust band multipliers and toggle each band on/off to match your trading style.
📌 Trade Smarter – The filled inner band offers instant visual feedback on market momentum, while the outer bands highlight potential breakout zones.
🔹 This is the perfect tool for traders looking to combine trend-following with volatility analysis in an easy-to-use, adaptive indicator.
🚀 Add Rolling Daily SMA With Std Dev Bands to your chart today and enhance your market insights!
---
*Disclaimer: This indicator is for informational and educational purposes only and should not be considered financial advice. Always use proper risk management and conduct your own research before trading.*
WaridTR15 Dakika ve Üzeri Periyotlar İçin Önerilen Ayarlar:
EMA Uzunlukları:
Kısa EMA: 9 yerine 12 veya 14 kullanılabilir.
Uzun EMA: 21 yerine 26 veya 50 kullanılabilir.
Golden Cross için 50 EMA ve 200 EMA zaten uzun vadeli trendleri yakalar, bu nedenle değiştirmeye gerek yok.
RSI Uzunluğu:
RSI uzunluğu 14 yerine 21 veya 28 yapılabilir. Bu, daha uzun vadeli aşırı alım/aşırı satım bölgelerini daha doğru tespit eder.
Volume Filtresi:
Volume ortalaması için 20 periyot yerine 50 veya 100 periyot kullanılabilir. Bu, daha uzun vadeli hacim eğilimlerini yakalar.
Ichimoku Parametreleri:
Ichimoku, varsayılan olarak 9-26-52 periyotlarıyla çalışır. Bu, zaten uzun vadeli trendleri yakalamak için uygundur. Ancak, daha uzun periyotlar için:
Tenkan-Sen: 9 yerine 14.
Kijun-Sen: 26 yerine 52.
Senkou Span B: 52 yerine 104.
