[Rygel] Dual time frame Bollinger Bands with signals and alertsThis indicator displays two Bollinger Bands coming from two different time frames, chart's current one and a higher one.
It analyzes these two Bollinger Bands data and combines them with RSI, MFI and MACD divergences and SuperTrend to identify areas of opportunity where price is the most likely to be at a local top or bottom.
It uses probabilistic data, the Bollinger Bands, to identify convergence areas where the price is statistically overbought or oversold simultaneously at two different time frames, it then looks for signs of a trend exhaustion, using RSI, MFI and MACD divergences, and finally it looks for an early confirmation of a trend reversal, using SuperTrend data with aggressive settings.
This indicator does not produce buy and sell signals. You won't get a buy for every sell or a sell for every buy. In a bearish trend, you may get multiple consecutive bullish signals and in a bullish trend multiple bearish signals.
It is meant to help you to identify and to alert you about areas of opportunity where you could, for instance, consider taking some profits or opening a trade.
It is meant to support your investment or trading decisions, not to induce them.
SIGNALS
This indicator generated multiple types of signals. Diamonds are better than squares. Colored ones are better than grey ones.
Green square: a bullish signal confirmed by a regular divergence
Red square: a bearish signal confirmed by a regular divergence
Blue square: a bullish signal confirmed by a hidden divergence (disabled by default as these signals are less reliable)
Orange square: a bearish signal confirmed by a hidden divergence (disabled by default as these signals are less reliable)
Diamonds: same as the square signals but the signal is forming a divergence with a previous one. Diamond signals are always stronger (i.e. more reliable) than square signals.
Grey signals: same as the previous ones but for weaker signals. These signals appear when price in the current time frame is overbought or oversold but only close to be at the higher timeframe. (disabled by default as these signals are less reliable)
When a weak signal follows a strong one and creates a MACD divergence with it, it will be considered as a strong signal and displayed as a colored signal, even when weak signals are disabled.
When a strong signal follows a weak one, forming a MACD divergence, it will be shown as a diamond signal, even when weak signals are disabled.
Most reliable signals are green and red diamonds.
SETTINGS
Bollinger Bands
Source: the source used to calculate the Bollinger Bands ("close" by default)
Length: the moving-average length of the Bollinger Bands (20 by default)
You will most likely have no need to change these settings. If you're wondering what they actually do, you should most likely not touch them.
Main channel standard deviation: the standard deviation used to calculate the classical Bollinger Bands channel. (2.0 by default)
Outer bands standard deviation: additional channels outside the main one, using a larger standard deviation. (3.0 by default)
Theoretically, with a 1.0 standard deviation, around 68% of the price action should be contained within the Bollinger Bands.
With a 2.0 standard deviation, around 95%.
With a 3.0 standard deviation, around 99.7%.
With a 4.0 standard deviation, around 99.99%.
But as security prices returns have no actual statistical distribution, these probabilities don't strictly apply to Bollinger Bands. According to Wikipedia, studies have found that with a 2.0 standard deviation, only about 88% (85–90%) of the price data remain with the Bollinger Bands, instead of the theoretical 95%.
The higher you set the values, the less signals you'll get.
You should most likely keep the main channel standard deviation between 2 and 3 and add between +0.5 and +1 for the outer bands.
Most commonly used value for Bollinger Bands is 2.0.
Current time frame
Show current time frame Bollinger Bands: these are the Bollinger Bands you're used to. (enabled by default)
Show current time frame outer bands: add two additional bands outside the main channel using a larger standard deviation. (enabled by default)
Higher time frame
Show higher time frame Bollinger Bands: display secondary Bollinger Bands from a higher time frame. Time frames are configured in the below "Time frames" section. (enabled by default)
Show higher time frame outer bands: add two additional bands outside the main channel using a larger standard deviation (enabled by default)
Overbought and oversold
Show oversold and overbought background: add a background to the higher time Bollinger Bands whose color depends on the dual time frame Bollinger Bands oversold / overbought status. (enabled by default)
Asset is considered overbought/oversold when its price is outside of the Bollinger Bands' main channel.
Asset is considered strongly overbought/oversold when its price is outside of the Bollinger Bands' outer bands.
Dark red: both time frame are overbought (outside the main channel)
Red: one time frame is strongly overbought (outside the outer bands) and the other one is overbought (outside the main channel)
Bright red: both time frame are strongly overbought (outside the outer bands)
Dark green: both time frame are oversold (outside the main channel)
Green: one time frame is strongly oversold (outside the outer bands) and the other one is oversold (outside the main channel)
Bright green: both time frame are strongly oversold (outside the outer bands)
Signals
Show signals: display signals when an area of opportunity is detected. Read the introduction and the Signals section for more information. (enabled by default)
Show weak signals: display signals although at the higher time frame price is not yet overbought or oversold but close to be (disabled by default)
Divergences
Use MACD for divergences (enabled by default)
Use MFI for divergences (enabled by default)
Use RSI for divergences (enabled by default)
At least one source of divergences must be enabled for signals to work.
Enable hidden divergences: signals don't use hidden divergences by default as they generate more false positives than regular divergences. You can enable them to get more signals, it can be especially useful at high time frames (like weekly, monthly, etc.) where signals are rarer. (disabled by default)
Show divergences: draw MACD, MFI and RSI divergences on the chart. (disabled by default)
Green: regular bullish divergence
Red: regular bearish divergence
Blue: hidden bullish divergence
Orange: hidden bearish divergence
Confirmation
Confirmation speed: a faster confirmation speed will generate more false positive signals, a slower one will produce delayed but more reliable signals.
Fastest: don't wait for a SuperTrend confirmation, only wait for a divergence confirmation. Lot of false positives.
Fast: wait for a fast SuperTrend confirmation (SuperTrend factor = 1).
Medium: wait for a slower but more reliable SuperTrend confirmation (SuperTrend factor = 2). Fewer false positives but more lagging signals.
Slow: wait for an even slower but very reliable SuperTrend confirmation (SuperTrend factor = 3). Very few false positives but very late signals.
Time frames
You can define the higher time frames you wish to use here.
Default values try to adhere to a x6 to x8 ratio, x4 to x12 at maximum.
Some pairs are more significant than others, like 4 hour + daily, daily + weekly and weekly + monthly.
1 second: 10 seconds
5 seconds: 30 seconds
10 seconds: 1 minute
15 seconds: 2 minutes
30 seconds: 3 minutes
1 minute: 10 minutes
2 minutes: 15 minutes
3-4 minutes: 30 minutes
5-9 minutes: 45 minutes
10-11 minutes: 1 hour
12-14 minutes: 1 hour
15-29 minutes: 2 hours
30-44 minutes: 4 hours
45-59 minutes: 6 hours
1 hour: 8 hours
2 hours: 12 hours
3 hours: 1 day
4-5 hours: 1 day
6-7 hours: 2 days
8-11 hours: 3 days
12-23 hours: 4 days
1 day: 1 week
2 days: 2 weeks
3 days: 3 weeks
4 days: 1 month
5 days: 1 month
6 days: 1 month
1 week: 1 month
2 weeks: 2 months
3 weeks: 3 months
1 month: 6 months
2 months: 9 months
3 months: 12 months
4 months: 15 months
5 months: 21 months
6 months: 24 months
Time frames use the TradingView units:
s = seconds
h = hours
D = days
W = weeks
M = months
no unit = minutes
Time frame strings follow these rules:
They are composed of the multiplier and the time frame unit, e.g., “1S”, “30” (30 minutes), “1D” (one day), “3M” (three months).
The unit is represented by a single letter, with no letter used for minutes: “S” for seconds, “D” for days, “W” for weeks and “M” for months.
When no multiplier is used, 1 is assumed: “S” is equivalent to “1S”, “D” to “1D, etc. If only “1” is used, it is interpreted as “1min”, since no unit letter identifier is used for minutes.
There is no “hour” unit; “1H” is not valid. The correct format for one hour is “60” (remember no unit letter is specified for minutes).
The valid multipliers vary for each time frame unit:
- For seconds, only the discrete 1, 5, 10, 15 and 30 multipliers are valid.
- For minutes, 1 to 1440.
- For days, 1 to 365.
- For weeks, 1 to 52.
- For months, 1 to 12.
Styles
You can configure the appearance of the Bollinger Bands, the overbought / oversold background, the divergences and the signals here.
Advanced - MACD
Settings used for the MACD divergences. You most likely won't need to change these values, especially if you need them to be explained.
Advanced - MFI
Settings used for the MACD divergences. You most likely won't need to change these values, especially if you need them to be explained.
Advanced - RSI
Settings used for the MACD divergences. You most likely won't need to change these values, especially if you need them to be explained.
Advanced - SuperTrend
Settings used for the MACD divergences. You most likely won't need to change these values, especially if you need them to be explained.
ALERTS
Any signal: a bullish or bearish signal has been detected.
Bullish signal: a bullish signal has been detected.
Bullish signal with divergence: a bullish signal forming a divergence with a previous bullish signal has been detected.
Bearish signal: a bearish signal has been detected.
Bearish signal with divergence: a bearish signal forming a divergence with a previous bearish signal has been detected.
Overbought/oversold = asset price is outside of the Bollinger Bands' main channel.
Strongly overbought/oversold = asset price is outside of the Bollinger Bands' outer bands.
Current time frame - Entering overbought: asset is now overbought at the current time frame.
Current time frame - Exiting overbought: asset is not overbought anymore at the current time frame.
Current time frame - Entering strongly overbought: asset is now strongly overbought at the current time frame.
Current time frame - Exiting strongly overbought: asset is not strongly overbought anymore at the current time frame.
Current time frame - Entering oversold: asset is now oversold at the current time frame.
Current time frame - Exiting oversold: asset is not oversold anymore at the current time frame.
Current time frame - Entering strongly oversold: asset is now strongly oversold at the current time frame.
Current time frame - Exiting strongly oversold: asset is not strongly oversold anymore at the current time frame.
Higher time frame - Entering overbought: asset is now overbought at the higher time frame.
Higher time frame - Exiting overbought: asset is not overbought anymore at the higher time frame.
Higher time frame - Entering strongly overbought: asset is now strongly overbought at the higher time frame.
Higher time frame - Exiting strongly overbought: asset is not strongly overbought anymore at the higher time frame.
Higher time frame - Entering oversold: asset is now oversold at the higher time frame.
Higher time frame - Exiting oversold: asset is not oversold anymore at the higher time frame.
Higher time frame - Entering strongly oversold: asset is now strongly oversold at the higher time frame.
Higher time frame - Exiting strongly oversold: asset is not strongly oversold anymore at the higher time frame.
Dual time frame - Entering overbought: asset is now overbought at current and higher time frames.
Dual time frame - Exiting overbought: asset is not overbought anymore at current and higher time frames.
Dual time frame - Entering oversold: asset is now oversold at current and higher time frames.
Dual time frame - Exiting oversold: asset is not oversold anymore at current and higher time frames.
Dual time frame - Entering strongly overbought: asset is now strongly overbought at current and higher time frames.
Dual time frame - Exiting strongly overbought: asset is not strongly overbought anymore at current and higher time frames.
Dual time frame - Entering strongly oversold: asset is now strongly oversold at current and higher time frames.
Dual time frame - Exiting strongly oversold: asset is not strongly oversold anymore at current and higher time frames.
ABOUT THE HIGHER TIME FRAME BOLLINGER BANDS
Using a classical higher time frame Bollinger Bands would produce lagging data. For instance, if we are using a weekly BB at the daily time frame, we'll have to wait up to 7 days for the weekly bar to close to get the actual final weekly BB values. Instead, this indicator generates real time higher time frame Bollinger Bands by multiplying the moving average length of the Bollinger Bands by the higher time frame / current time frame ratio. For instance, a weekly BB in the daily time frame will use a x7 ratio (i.e. a 20 * 7 = 140 days MA BB).
It produces slightly different but very similar bands that are as meaningful and can be used in real time at lower time frames.
Alternatives would have been to wait up to seven days for signals to be finalized, which would have render them meaningless. Or to use previous week data, which would have made the signal inaccurrate.
To sum up, weekly Bollinger Bands use a 20 weeks moving average updated one time a week. In the daily time frame, this indicator also use a 20 weeks (140 days) moving average but updated daily instead of weekly.
A comparison between a traditional higher time frame Bollinger Bands vs the ones used by this indicator:
Blue and orange lines are the actual weekly BBs, grey ones are the daily updated ones.
ABOUT THE DIVERGENCES
This indicator uses the same divergences algorithm as my other indicators:
- RSI with divergences
- MACD with divergences
- Trend Reversal Indicator
You'll find more information about this algorithm on my RSI page.
Cerca negli script per "supertrend"
Miyagi STrendMiyagi: The attempt at mastering something for the best results.
Miyagi indicators combine multiple trigger conditions and place them in one toolbox for traders to easily use, produce alerts, backtest, reduce risk and increase profitability.
Miyagi STrend was created to allow traders the ability to both scalp and swing trade from as singular indicator. STrend aims to help traders catch more of the move.
STrend starts with the native TradingView SuperTrend indicator and adds in extra filtering in the form of the SuperTrend Oscillator (ST OSC), and an Adaptive Moving Average (AMA) - all of which are adjustable.
Entry conditions start with the following:
Long Entry: SuperTrend must be green (candles above SuperTrend), price above the Adaptive Moving Average (AMA), and lastly the SuperTrend Oscillator (ST OSC) at maximum +100.
Short Entry: SuperTrend must be red (candles below SuperTrend), price below the Adaptive Moving Average (AMA), and lastly the SuperTrend Oscillator (ST OSC) at maximum -100.
Exits are provided for both directions, long and short, when the SuperTrend Oscillator (ST OSC) hits maximum (+100/-100).
Please note the SuperTrend Oscillator (ST OSC) is not shown on the chart however is used for the final calculation to confirm entries.
We have added an "Entry on Exit" selector which allows users to enable entries on exit candles. This may allow more trades, however will incur more risk.
With "Entry on Exit" selected entry and exit alerts CAN fire in same candle and may require delays if using STrend as a swing indicator.
Without "Entry on Exit" selected entry and exit alerts CANNOT fire in same candle. This will produce less signals overall however may be safer for traders to use.
It would be best suited to utilize a stoploss when trading with Miyagi STrend to minimize risk.
Alerts are meant to fire on "Once per Bar Close" to confirm entry and exit signals.
Happy Trading!
DTM 444 BANDS 🚀DTM 444 BANDS 🚀:
The DTM 444 BANDS 🚀 is a powerful, multi-purpose trading indicator combining Supertrend, Dynamic Band Levels, Breakout Signals, and Volume Confirmation to help traders identify high-probability trade setups across different timeframes.
🔧 Key Features
✅ Multi-Timeframe Support
Analyze price action across any timeframe using the Timeframe input.
All band calculations (High, Low, Midline, and Supertrend) are pulled from a higher timeframe for clearer context.
✅ Dynamic Bands Based on Supertrend
High Band: Rolling highest of Supertrend over hiLen period.
Low Band: Rolling lowest of Supertrend over loLen period.
Midline: Midpoint of the above.
Acts like dynamic support/resistance, ideal for trend-following and breakout strategies.
✅ Dual Signal System
Breakout Signals (Buy and Sell): Triggered when price breaks the bands with volume confirmation.
Supertrend Crossover Signals (Buy1 and Sell1): Classic momentum entries with a confirmation twist.
Exit Signals: Optional take-profit/neutral indicators when price reverses.
✅ Volume Confirmation Filter (Optional)
Only triggers signals if the volume exceeds its 20-period SMA.
Helps filter out false breakouts and weak trends in low-liquidity periods.
✅ Visual Enhancements
Color-coded candles based on band positioning (e.g., red = weak, green = strong, etc.)
On-chart labels for each signal for quick reference.
Real-time Signal Dashboard using Pine Script tables showing:
Current signal
Volume filter status
Live volume vs volume SMA
🧪 Practical Use Cases
Trend Traders: Use the Supertrend cross and band breakouts to ride trends early.
Breakout Traders: Catch high-probability moves outside established ranges.
Swing Traders: Time entries and exits using color-coded bars and exit labels.
Volume-Sensitive Traders: Focus on trades with strong volume backing.
📊 Backtest Snapshot
Based on the example chart for Reliance Industries (RELIANCE.NS) on the weekly timeframe:
Several profitable buy and breakout signals during uptrends.
Timely exits and breakdown alerts before reversals.
Volume filter keeps trades clean and avoids noise.
⚙️ Customizable Parameters
High Length and Low Length (default: 19)
Supertrend Multiplier and ATR Length
Volume Filter: Toggle ON/OFF
Volume SMA Length: Default 20
Custom Timeframe: Choose any higher timeframe for multi-timeframe analysis
📢 Alerts Ready
Fully integrated with TradingView alerts:
Breakout & Breakdown
Supertrend crossovers
All alerts respect the volume filter setting
🏁 Final Thoughts
DTM 444 BANDS 🚀 is a versatile and adaptive trading system that blends trend analysis, volatility bands, and volume validation. Whether you're a trend trader, breakout hunter, or swing trader — this tool gives you a structured edge with clear visual cues and real-time alerts.
Artharjan Heiken Ashi Super TrendArtharjan Heiken Ashi SuperTrend (AHAST)
The Artharjan Heiken Ashi SuperTrend (AHAST) indicator is a refined version of the classic SuperTrend tool, designed for traders who wish to blend trend-following logic with the smoothing effects of Heiken Ashi candles. This script not only highlights market trends but also introduces multi-timeframe filtering, visual cues, and alerts for sharper decision-making.
🔑 Key Features
Heiken Ashi Integration
Option to calculate trends using standard candles or Heiken Ashi candles.
Provides smoother visualization, reducing noise.
Flexible ATR Calculation
Choose between RMA (default) and SMA for ATR computation.
Option to switch between traditional ATR and Heiken Ashi-based ATR.
Customizable Inputs
ATR length, multiplier factor, trend colors, and higher-timeframe filters are all user-configurable.
Debug mode available for internal verification.
Visual Enhancements
Dynamic background highlighting to clearly distinguish bullish vs bearish phases.
Fill plots that emphasize ongoing trends.
Buy and Sell signal markers with optional on/off toggle.
Multi-Timeframe (MTF) Filter
Fetches higher timeframe (e.g., Weekly) Heiken Ashi values.
Detects bullish and bearish flips on higher timeframe trends.
Overlay highlights to align lower timeframe trades with broader market direction.
Alerts & Automation
Alerts available for:
Buy / Sell triggers
Direction changes
Higher timeframe bullish or bearish flips
Compatible with TradingView alerts for automated workflows.
⚙️ How It Works
Core Trend Logic
The script calculates the median price of Heiken Ashi highs and lows.
SuperTrend bands (up and dn) are adjusted using ATR.
A bullish or bearish state is determined based on price closing above or below these bands.
Signal Generation
Buy Signal: Trend flips from bearish (-1) to bullish (+1).
Sell Signal: Trend flips from bullish (+1) to bearish (-1).
Signals can be plotted as circles, labels, or both depending on configuration.
MTF SuperTrend
Parallel SuperTrend calculation on a higher timeframe (user-selected).
Detects bullish flip (HTF ↑) or bearish flip (HTF ↓).
Highlights the chart background with higher timeframe color filters when enabled.
Debug Mode
Turns on background shading to indicate whether Heiken Ashi or regular candles are in use.
Helps verify internal logic for advanced users.
🎨 Visualization Example
Green Highlight / Fill → Active bullish trend
Red Highlight / Fill → Active bearish trend
Light Blue / Gray Highlights → Higher timeframe bullish / bearish alignment
Buy / Sell Labels → Clear entry or exit cues, aligned with the trend
🚨 Practical Usage
Swing Traders: Use higher timeframe filters (e.g., Weekly) to align intraday signals with broader market direction.
Intraday Traders: Focus on Heiken Ashi smoothing to avoid whipsaws in volatile sessions.
Options Traders: Combine bullish/bearish flips with option strategies (e.g., Calls/Puts) to gain directional exposure.
✅ Final Thoughts
The Artharjan Heiken Ashi SuperTrend (AHAST) is not just another SuperTrend indicator—it’s a versatile trading companion. By merging classic ATR-based logic with Heiken Ashi smoothing and multi-timeframe confirmation, this tool equips traders with early signals, trend clarity, and strong alignment across timeframes.
Use it with discipline, combine it with your trading framework, and let it sharpen your edge in the markets.
With Thanks,
Rrahul Desai
@Artharjan
IU Indicators DashboardDESCRIPTION
The IU Indicators Dashboard is a comprehensive multi-stock monitoring tool that provides real-time technical analysis for up to 10 different stocks simultaneously. This powerful indicator creates a customizable table overlay that displays the trend status of multiple technical indicators across your selected stocks, giving you an instant overview of market conditions without switching between charts.
Perfect for portfolio monitoring, sector analysis, and quick market screening, this dashboard consolidates critical technical data into one easy-to-read interface with color-coded trend signals.
USER INPUTS
Stock Selection (10 Configurable Stocks):
- Stock 1-10: Customize any symbols (Default: NSE:CDSL, NSE:RELIANCE, NSE:VEDL, NSE:TCS, NSE:BEL, NSE:BHEL, NSE:TATAPOWER, NSE:TATASTEEL, NSE:ITC, NSE:LT)
Technical Indicator Parameters:
- EMA 1 Length: First Exponential Moving Average period (Default: 20)
- EMA 2 Length: Second Exponential Moving Average period (Default: 50)
- EMA 3 Length: Third Exponential Moving Average period (Default: 200)
- RSI Length: Relative Strength Index calculation period (Default: 14)
- SuperTrend Length: SuperTrend indicator period (Default: 10)
- SuperTrend Factor: SuperTrend multiplier factor (Default: 3.0)
Visual Customization:
- Table Size: Choose from Normal, Tiny, Small, or Large
- Table Background Color: Customize dashboard background
- Table Frame Color: Set frame border color
- Table Border Color: Configure border styling
- Text Color: Set text display color
- Bullish Color: Color for positive/bullish signals (Default: Green)
- Bearish Color: Color for negative/bearish signals (Default: Red)
LOGIC OF THE INDICATOR
The dashboard employs a multi-timeframe analysis approach using five key technical indicators:
1. Triple EMA Analysis
- Compares current price against three different EMA periods (20, 50, 200)
- Bullish Signal: Price above EMA level
- Bearish Signal: Price below EMA level
- Provides short-term, medium-term, and long-term trend perspective
2. RSI Momentum Analysis
- Uses 14-period RSI with 50-level threshold
- Bullish Signal: RSI > 50 (upward momentum)
- Bearish Signal: RSI < 50 (downward momentum)
- Identifies momentum strength and potential reversals
3. SuperTrend Direction
- Utilizes SuperTrend with configurable length and factor
- Bullish Signal: SuperTrend direction = -1 (uptrend)
- Bearish Signal: SuperTrend direction = 1 (downtrend)
- Provides clear trend direction with volatility-adjusted signals
4. MACD Histogram Analysis
- Uses standard MACD (12, 26, 9) histogram values
- Bullish Signal: Histogram > 0 (bullish momentum)
- Bearish Signal: Histogram < 0 (bearish momentum)
- Identifies momentum shifts and trend confirmations
5. Real-time Data Processing
- Implements request.security() for multi-symbol data retrieval
- Uses barstate.isrealtime logic for accurate live data
- Processes data only on the last bar for optimal performance
WHY IT IS UNIQUE
Multi-Stock Monitoring
- Monitor up to 10 different stocks simultaneously on a single chart
- No need to switch between multiple charts or timeframes
Highly Customizable Interface
- Full color customization for personalized visual experience
- Adjustable table size and positioning
- Clean, professional dashboard design
Real-time Analysis
- Live data processing with proper real-time handling
- Instant visual feedback through color-coded signals
- Optimized performance with smart data retrieval
Comprehensive Technical Coverage
- Combines trend-following, momentum, and volatility indicators
- Multiple timeframe perspective through different EMA periods
- Balanced approach using both lagging and leading indicators
Flexible Configuration
- Easy symbol switching for different markets (NSE, BSE, NYSE, NASDAQ)
- Adjustable indicator parameters for different trading styles
- Suitable for both swing trading and position trading
HOW USERS CAN BENEFIT FROM IT
Portfolio Management
- Quick Portfolio Health Check: Instantly assess the technical status of your entire stock portfolio
- Diversification Analysis: Monitor stocks across different sectors to ensure balanced exposure
- Risk Management: Identify which positions are showing bearish signals for potential exit strategies
- Rebalancing Decisions: Spot strongest performers for potential position increases
Market Screening and Analysis
- Sector Rotation: Compare different sector stocks to identify rotation opportunities
- Relative Strength Analysis: Quickly identify which stocks are outperforming or underperforming
- Market Breadth Assessment: Gauge overall market sentiment by monitoring diverse stock selections
- Trend Confirmation: Validate market trends by observing multiple stock behaviors
Time-Efficient Trading
- Single-Glance Analysis: Get complete technical overview without chart-hopping
- Pre-Market Preparation: Quickly assess overnight changes across multiple positions
- Intraday Monitoring: Track multiple opportunities simultaneously during trading hours
- End-of-Day Review: Efficiently review all watched stocks for next-day planning
Strategic Decision Making
- Entry Point Identification: Spot stocks showing bullish alignment across multiple indicators
- Exit Signal Recognition: Identify positions showing deteriorating technical conditions
- Swing Trading Opportunities: Find stocks with favorable technical setups for swing trades
- Long-term Investment Guidance: Use 200 EMA signals for long-term position decisions
Educational Benefits
- Pattern Recognition: Learn how different indicators behave across various market conditions
- Correlation Analysis: Understand how stocks move relative to each other
- Technical Analysis Learning: Observe multiple indicator interactions in real-time
- Market Sentiment Understanding: Develop better market timing skills through multi-stock observation
Workflow Optimization
- Reduced Chart Clutter: Keep your main chart clean while monitoring multiple stocks
- Faster Analysis: Complete technical analysis of 10 stocks in seconds instead of minutes
- Consistent Methodology: Apply the same technical criteria across all monitored stocks
- Alert Integration: Easy visual identification of stocks requiring immediate attention
This indicator is designed for traders and investors who want to maximize their market awareness while minimizing analysis time. Whether you're managing a portfolio, screening for opportunities, or learning technical analysis, the IU Indicators Dashboard provides the comprehensive overview you need for better trading decisions.
DISCLAIMER :
This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
Linear % ST | QuantEdgeB🚀 Introducing Linear Percentile SuperTrend (Linear % ST) by QuantEdgeB
🛠️ Overview
Linear % SuperTrend (Linear % ST) by QuantEdgeB is a hybrid trend-following indicator that combines Linear Regression, Percentile Filters, and Volatility-Based SuperTrend Logic into one dynamic tool. This system is designed to identify trend shifts early while filtering out noise during choppy market conditions.
By utilizing percentile-based median smoothing and customized ATR multipliers, this tool captures both breakout momentum and pullback opportunities with precision.
✨ Key Features
🔹 Percentile-Based Median Filtering
Removes outliers and normalizes price movement for cleaner trend detection using the 50th percentile (median) of recent price action.
🔹 Linear Regression Smoothing
A smoothed baseline is computed with Linear Regression to detect the underlying trend while minimizing lag.
🔹 SuperTrend Structure with Adaptive Bands
The indicator implements an enhanced SuperTrend engine with custom ATR bands that adapt to trend direction. Bands tighten or loosen based on volatility and trend strength.
🔹 Dynamic Long/Short Conditions
Long and short signals are derived from the relationship between price and the SuperTrend threshold zones, clearly showing trend direction with optional "Long"/"Short" labels on the chart.
🔹 Multiple Visual Themes
Select from 6 built-in color palettes including Strategy, Solar, Warm, Cool, Classic, and Magic to match your personal style or strategy layout.
📊 How It Works
1️⃣ Percentile Filtering
The source price (default: close) is filtered using a nearest-rank 50th percentile over a custom lookback. This normalizes data to reflect the central tendency and removes noisy extremes.
2️⃣ Linear Regression Trend Base
A Linear Regression Moving Average (LSMA) is applied to the filtered median, forming the core trend line. This dynamic trendline provides a low-lag yet smooth view of market direction.
3️⃣ SuperTrend Engine
ATR is applied with custom multipliers (different for long and short) to create dynamic bands. The bands react to price movement and only shift direction after confirmation, preventing false flips.
4️⃣ Trend Signal Logic
• When price stays above the dynamic lower band → Bullish trend
• When price breaks below the upper band → Bearish trend
• Trend direction remains stable until violated by price.
⚙️ Custom Settings
• Percentile Length → Lookback for percentile smoothing (default: 35)
• LSMA Length → Determines the base trend via linear regression (default: 24)
• ATR Length → ATR period used in dynamic bands (default: 14)
• Long Multiplier → ATR multiplier for bullish thresholds (default: 0.8)
• Short Multiplier → ATR multiplier for bearish thresholds (default: 1.9)
✅ How to Use
1️⃣ Trend-Following Strategy
✔️ Go Long when price breaks above the lower ATR band, initiating an upward trend
✔️ Go Short when price falls below the upper ATR band, confirming bearish conditions
✔️ Remain in trend direction until the SuperTrend flips
2️⃣ Visual Confirmation
✔️ Use bar coloring and the dynamic bands to stay aligned with trend direction
✔️ Optional Long/Short labels highlight key signal flips
👥 Who Should Use Linear % ST?
✅ Swing & Position Traders → To ride trends confidently
✅ Trend Followers → As a primary directional filter
✅ Breakout Traders → For clean signal generation post-range break
✅ Quant/Systematic Traders → Integrate clean trend logic into algorithmic setups
📌 Conclusion
Linear % ST by QuantEdgeB blends percentile smoothing with linear regression and volatility bands to deliver a powerful, adaptive trend-following engine. Whether you're a discretionary trader seeking cleaner entries or a systems-based trader building logic for automation, Linear % ST offers clarity, adaptability, and precision in trend detection.
🔹 Key Takeaways:
1️⃣ Percentile + Regression = Noise-Reduced Core Trend
2️⃣ ATR-Based SuperTrend = Reliable Breakout Confirmation
3️⃣ Flexible Parameters + Color Modes = Custom Fit for Any Strategy
📈 Use it to spot emerging trends, filter false signals, and stay confidently aligned with market momentum.
📌 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
📌 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Smart Buy/Sell Signal IndicatorOverview
The Smart Buy/Sell Signal Indicator is a multi-factor trading tool that i ntegrates Supertrend, Bollinger Bands, RSI, ADX, and Moving Averages to generate high-probability buy and sell signals. Unlike simple crossover-based strategies, this indicator leverages multiple layers of confirmation to reduce false signals and improve trade execution accuracy.
This indicator is designed for trend-following traders, scalpers, and swing traders, helping them identify key reversal points and momentum shifts with precise breakout conditions.
How It Works
The Smart Buy/Sell Signal Indicator filters out weak trade signals by combining trend, volatility, momentum, and strength indicators in the following manner:
✅ Supertrend-Based Trend Filtering:
• The script checks if the price is above or below the Supertrend level before confirming a buy or sell signal.
• Buy signals occur below the Supertrend Down level, confirming support.
• Sell signals occur above the Supertrend Up level, confirming resistance.
✅ Bollinger Bands for Overbought & Oversold Conditions:
• Buy signals are confirmed when price touches the Bollinger Lower Band (suggesting oversold conditions).
• Sell signals are confirmed when price touches the Bollinger Upper Band (suggesting overbought conditions).
• This ensures that trades occur at high-probability reversal zones, rather than random price action.
✅ RSI Momentum Confirmation:
• Buy trades trigger when RSI is below 50 (indicating strength building from an oversold region).
• Sell trades trigger when RSI is above 50 (indicating weakness forming in an overbought region).
• This ensures signals are momentum-backed and not counter-trend moves.
✅ ADX Strength Confirmation:
• The script filters signals using the ADX (Average Directional Index) to ensure that only trades with sufficient market strength are executed.
• If the ADX value is below a threshold (default: 15), the signal is ignored to prevent false breakouts in choppy markets.
✅ Confirmation Moving Average (MA) for Trend Validation:
• The script applies an additional confirmation filter using a Moving Average (SMA/EMA).
• Buy signals trigger only when the price is above the MA, aligning with trend direction.
• Sell signals trigger only when the price is below the MA, ensuring alignment with the broader market structure.
✅ Trade Cooldown Mechanism (Minimum Bars Between Signals):
• To avoid frequent signals in sideways markets, a cooldown period is implemented.
• Default: 5 bars between signals (adjustable).
• Prevents rapid consecutive trades, reducing false entries.
Key Features
✔️ Supertrend & Moving Average Confirmation – Ensures trades are taken only in the correct trend direction.
✔️ Bollinger Bands Integration – Helps identify high-probability reversal zones.
✔️ ADX Strength Filtering – Ensures trades are only executed when the market has enough strength.
✔️ Momentum-Based RSI Filtering – Avoids counter-trend trades and confirms directional strength.
✔️ Trade Cooldown Mechanism – Reduces overtrading and noise in sideways markets.
✔️ Webhook Alerts for Automation – Auto-execute trades or receive real-time notifications.
✔️ Customizable Inputs – Adjustable thresholds, EMA/SMA length, ADX filter, cooldown period for flexibility.
✔️ Works Across Multiple Timeframes – Suitable for scalping (5m, 15m), swing trading (1H, 4H), and position trading (Daily).
How to Use
📌 Scalping & Intraday Trading:
• Use on 5m, 15m, or 30m timeframes.
• Look for Bollinger Band touch + RSI confirmation + Supertrend support/resistance validation before entering trades.
📌 Swing Trading:
• Use on 1H or 4H timeframes.
• Enter only when ADX is strong and price aligns with Supertrend direction.
📌 Webhook Automation:
• Set up TradingView Alerts to auto-execute trades via Webhook-compatible platforms.
Why This Combination?
This indicator is not just a simple moving average crossover tool.
It is designed to filter out weak breakouts and only execute trades that have:
✅ Trend confirmation (Supertrend + Moving Average)
✅ Volatility filtering (Bollinger Bands for overbought/oversold confirmation)
✅ Momentum validation (RSI threshold filtering)
✅ Market strength requirement (ADX ensures sufficient momentum)
This multi-layered approach ensures that only the highest-quality setups are executed, improving both win rate and reliability.
Why It’s Worth Using?
🚀 Reduces False Breakouts – Avoids weak breakouts by requiring ADX confirmation.
🚀 Works in All Market Conditions – Trend-following logic for trending markets, volatility-based entries for reversals.
🚀 Customizable to Any Trading Style – Adjustable parameters for trend, momentum, and strength filtering.
🚀 Seamless Webhook Automation – Execute trades automatically with TradingView alerts.
🚀 Ready to trade smarter?
✅ Add the Smart Buy/Sell Signal Indicator to your TradingView chart today! 🎯🔥
Dynamic Momentum Shift Detector [Invesmate]Dynamic Momentum Shift Detector
Overview
The Dynamic Momentum Shift Detector is an advanced trend-following and momentum-based indicator designed to help traders identify high-probability trading opportunities. It combines RSI-based momentum detection, Supertrend confirmation, and EMA sentiment tracking to provide reliable buy and sell signals.
This indicator is useful for traders who rely on price action and momentum shifts to make informed trading decisions. The goal is to capture early trend reversals while filtering false signals using multiple confirmations.
Key Features & Unique Aspects
RSI (2-Period) for Momentum Detection
Uses an extremely short 2-period RSI to detect overbought (75) and oversold (25) conditions.
Buy Signal: RSI crosses above 25 and price is above the Supertrend line.
Sell Signal: RSI crosses below 75 and price is below the Supertrend line.
Supertrend for Trend Confirmation
A Supertrend (ATR 20, Factor 2) is used to validate the overall market trend.
Prevents false breakouts by ensuring buy signals occur above the Supertrend line and sell signals occur below it.
21-EMA Sentiment Filter
A 21-period Exponential Moving Average (EMA) acts as a market sentiment indicator.
Background color changes for quick visual cues:
Green Fill: Price is above EMA (bullish sentiment).
Red Fill: Price is below EMA (bearish sentiment).
Refined Buy/Sell Confirmation Criteria
To eliminate weak signals, additional price action conditions are applied:
Buy Confirmation: Higher high, bullish close, and strong candle body (>40% of range).
Sell Confirmation: Lower low, bearish close, and strong candle body (>40% of range).
Persistent Buy/Sell Levels
Displays persistent buy and sell levels (green/red dots) on the chart.
These remain active until invalidated by price action.
Bull & Bear Momentum (RSI-8 for Strong Reversals)
Bull M (Green Triangle): RSI (8) crosses above 72 with a strong bullish candle (>60% body).
Bear M (Red Triangle): RSI (8) crosses below 27 with a strong bearish candle (>60% body).
How to Use the Indicator
Buy Setup:
✅ Look for a green "Bull R" signal when:
RSI crosses above 25.
Price is above Supertrend & EMA 21.
Additional confirmation from bullish candle structure.
Sell Setup:
✅ Look for a red "Bear R" signal when:
RSI crosses below 75.
Price is below Supertrend & EMA 21.
Additional confirmation from bearish candle structure.
Observation Signals:
⚠️ "Obs Buy" (Orange Label) → Possible buy setup, but missing confirmation.
⚠️ "Obs Sell" (Orange Label) → Possible sell setup, but missing confirmation.
Momentum Reversal Markers (Strong Buy/Sell Signals)
🔺 "Bull M" (Green Triangle) → Strong bullish momentum shift detected.
🔻 "Bear M" (Red Triangle) → Strong bearish momentum shift detected.
Why This Indicator is Unique & Valuable
✔ Combines multiple indicators (RSI, Supertrend, EMA) with a structured approach.
✔ Avoids false signals by requiring confirmation from price action.
✔ Provides persistent support/resistance levels to track active trades.
✔ Visually clean and easy to use with minimal chart clutter.
This indicator is suitable for swing traders, intraday traders, and positional traders who want high-probability setups with clear trend direction.
Fixed Straddle with dynamic Res/Sup [BlueChip Algos]Fixed Straddle/Strangle with Dynamic Resistance and Support indicator is designed for options traders focusing on combined straddle and strangle premiums of particular strikes (without rolling). This script offers dynamic charting capabilities with integrated technical indicators, making it a valuable tool for traders in the Indian options market.
About the Indicator
This indicator allows traders to analyze straddle and strangle positions using pre-set strike prices. It dynamically plots resistance and support levels based on price movements using swing HIGHs and LOWs, plots potential stop-loss levels using ATR Stop Loss combined with other customizable indicators like Moving Averages, SuperTrend and VWAP
Features
Straddle and Strangle Analysis: Users can analyze options straddle or custom strangle positions by specifying the exact strike prices for both CE (Call) and PE (Put) options. Please note that one needs to give required strike in all 3 fields mandatorily (Fixes staddle, CE and PE) irrespective of whether you select straddle or strangle in the dropdown.
Dynamic Resistance and Support: The script dynamically adjusts support and resistance levels based on price movements, providing insights into potential price reversal points.
Comprehensive Indicator Suite: Includes popular indicators like Moving Averages, SuperTrend, ATR Stop Loss, and VWAP, each customizable to fit the trader's strategy.
Input Parameters
Chart Type: Choose between "Fixed Straddle" and "Fixed Strangle" for the analysis.
Symbol Selection: Select from various Indian indices such as NIFTY, BANKNIFTY, MIDCAP, FINNIFTY, SENSEX, BANKEX, or input a custom symbol.
Strike Prices: Set the exact strike prices for the fixed straddle or strangle analysis. Note to enter value in all 3 strike fields irrespective of straddle or strangle selection.
Expiry Date: Select the expiry date for the options.
Indicator Settings: Customize each indicator’s parameters, including Moving Averages, SuperTrend, ATR Stop Loss, VWAP, and Swing High/Low levels.
Understanding the Indicator
1. Dynamic Resistance and Support Levels using swing H/Ls
Purpose: This indicator identifies significant swing highs and lows, which are key levels for potential price reversals or continuation.
Parameters:
Swing Length: Number of bars used to confirm swing highs and lows.
How It Works: The Swing High/Low Levels are plotted based on past price action, marking the areas where the price has previously reversed, helping traders set their stop-loss or take-profit levels.
2. VWAP (Volume Weighted Average Price)
Purpose: VWAP provides the average price weighted by volume over a specified period. It is widely used by traders to identify the true average price of a security.
How It Works: VWAP is plotted as a line on the chart, which helps in understanding the price direction in relation to the day's volume-weighted average price.
3. ATR Stop Loss
Purpose: The ATR Stop Loss dynamically adjusts stop-loss levels based on the market’s volatility, calculated through the ATR.
Parameters:
ATR Period: Number of periods over which ATR is calculated.
Multiplier: Factor that determines the distance of the stop-loss from the current price.
How It Works: This indicator adjusts the stop-loss level to protect against large market swings, moving closer or further away based on the ATR value.
4. Moving Average (MA)
Purpose: The Moving Average smooths price data to help identify trends and reversals. It is useful for understanding the overall market direction.
Parameters:
MA Source: Data source for the Moving Average calculation (e.g., Close price).
MA Length: The number of periods used to calculate the Moving Average.
MA Smoothing: The type of smoothing applied, such as SMA, EMA, WMA, or RMA.
5. SuperTrend
Purpose: SuperTrend is a trend-following indicator that helps traders identify the prevailing market trend and potential entry/exit points.
Parameters:
Factor: The multiplier applied to the ATR (Average True Range) for calculating the SuperTrend bands.
ATR Period: The number of periods used for calculating the ATR.
How It Works: The SuperTrend line acts as a support or resistance level. A price above the SuperTrend line indicates a bullish trend, while a price below it indicates a bearish trend.
Golden Swing StrategyBuying Conditions
RSI should be 50 or above
Stochastic %K should be above %D
Day Low Should be below SuperTrend
SuperTrend should remain green before & EOD
SuperTrend should be below Mid Bollinger
Buy next day at open or within 0.5xATR(previous day) of SuperTrend with 1.1ATR SL & 2.2 ATR target
Selling Conditions
RSI should be 50 or below.
Stochastic %K should be below %D
Day high Should be above SuperTrend
SuperTrend should remain Red before & EOD
SuperTrend should be above Mid Bollinger
Sell next day at open or within 0.5xATR (previous day) of SuperTrend with 1.1xATR SL & 2.2x ATR target
BO(strategy)The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier. The default values used while constructing a superindicator are 10 for average true range or trading period and three for its multiplier.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility .
The buy and sell signals are generated when the indicator starts plotting either on top of the closing price or below the closing price. A buy signal is generated when the ‘Supertrend’ closes above the price and a sell signal is generated when it closes below the closing price.
It also suggests that the trend is shifting from descending mode to ascending mode. Contrary to this, when a ‘Supertrend’ closes above the price, it generates a sell signal as the colour of the indicator changes into red.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on daily, weekly and hourly charts as well, but generally, it fails in a sideways-moving market.
Chỉ báo rất dễ sử dụng và đưa ra đọc chính xác về một xu hướng đang diễn ra. Nó được xây dựng với hai tham số, đó là thời gian và số nhân. Các giá trị mặc định được sử dụng trong khi xây dựng một siêu máy tính là 10 cho phạm vi trung bình hoặc thời gian giao dịch trung bình và ba cho hệ số nhân của nó.
Phạm vi trung bình thực (ATR) đóng vai trò quan trọng trong 'Supertrend' khi chỉ báo sử dụng ATR để tính giá trị của nó. Chỉ báo ATR báo hiệu mức độ biến động giá.
Các tín hiệu mua và bán được tạo ra khi chỉ báo bắt đầu âm mưu trên đỉnh của giá đóng cửa hoặc thấp hơn giá đóng cửa. Tín hiệu mua được tạo khi ‘Supertrend giá đóng cửa trên giá và tín hiệu bán được tạo khi đóng cửa dưới giá đóng cửa.
Nó cũng gợi ý rằng xu hướng đang chuyển từ chế độ giảm dần sang chế độ tăng dần. Trái ngược với điều này, khi ‘Supertrend giá đóng cửa trên giá, nó sẽ tạo ra tín hiệu bán khi màu của chỉ báo chuyển sang màu đỏ.
Chỉ báo Sup Supertrend xông có thể được sử dụng trên các cổ phiếu, tương lai hoặc ngoại hối, hoặc thậm chí là thị trường tiền điện tử và cả trên các biểu đồ hàng ngày, hàng tuần và hàng giờ, nhưng nói chung, nó thất bại trong một thị trường đi ngang.
Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System
Overview
This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches.
Methodology
The indicator employs a multi-layered analytical approach based on established technical analysis principles:
Core Signal Generation
SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations
Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals
Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context
Advanced Features
MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment
RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation
Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis
Key Components
Signal Types
Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment
Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities
Take Profit Markers: X-cross symbols indicating statistical TP analysis zones
Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR
Visual Elements
8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization
Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes
Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors)
Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels
Usage Instructions
Basic Configuration
Sensitivity Setting: Start with default value 6
Increase (7-15) for more frequent signals in volatile markets
Decrease (3-5) for higher quality signals in trending markets
MA Filter Type: McGinley Dynamic recommended for smoother signals
Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions
Signal Interpretation
Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment
Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment
Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis
Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis
Dashboard Analysis
Green Cells: Bullish trend detected on that timeframe
Red Cells: Bearish trend detected on that timeframe
Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation
Risk Management Features
Automatic Calculations
ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x)
Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios
Position Sizing Guidance: Entry labels display suggested price levels for order placement
Confirmation Requirements
Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation
Filter Validation: Braid filter must show sufficient strength before signals activate
Multi-Timeframe Context: Dashboard provides broader market context for decision making
Optimal Settings
Timeframe Recommendations
Scalping: 1M-5M charts with sensitivity 8-12
Day Trading: 15M-1H charts with sensitivity 6-8
Swing Trading: 4H-Daily charts with sensitivity 4-6
Market Conditions
Trending Markets: Reduce sensitivity, increase filter strength
Ranging Markets: Increase sensitivity, enable reversal signals
High Volatility: Adjust ATR risk factor to 2.0-2.5
Advanced Features
Customization Options
MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34)
Color Themes: Three professional color schemes plus transparent option
Dashboard Position: 9 positioning options with 4 size settings
Signal Filtering: Individual toggle controls for each signal type
Technical Specifications
Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA)
Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values
Statistical Analysis: Linear regression slope calculation for trend-based TP analysis
Important Limitations
Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements
Ranging Markets: May produce false signals during extended sideways price action
High Volatility: Requires parameter adjustment during news events or unusual market conditions
Computational Load: Multiple timeframe analysis may impact performance on slower devices
No Guarantee: All signals are suggestions based on technical analysis and may be incorrect
Educational Disclaimers
This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations.
Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you.
Important Notes:
Always conduct your own analysis before making trading decisions
Use appropriate position sizing and risk management strategies
Never risk more than you can afford to lose
Consider your investment objectives, experience level, and risk tolerance
Seek advice from qualified financial professionals when needed
Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.
Better Pivot Points [LuminoAlgo]Overview
The Better Pivot Points indicator is an advanced trend analysis tool that combines Supertrend methodology with automated pivot point identification and zigzag visualization. This indicator helps traders identify significant price turning points and visualize market structure through dynamic pivot labeling and connecting lines.
How It Works
This indicator utilizes a Supertrend-based algorithm to detect meaningful pivot points in price action. Unlike traditional pivot point indicators that rely on fixed time periods, this tool dynamically identifies pivots based on trend changes, providing more relevant and timely signals.
The algorithm tracks trend changes using ATR-based Supertrend crossovers to determine when significant highs and lows have formed. When a trend reversal is detected, the indicator marks the pivot point and draws connecting lines to visualize price flow and market structure progression.
Key Features
• Dynamic Pivot Detection: Automatically identifies high and low pivot points using Supertrend crossovers
• Market Structure Labeling: Labels pivots as HH (Higher High), LH (Lower High), HL (Higher Low), or LL (Lower Low)
• Zigzag Visualization: Connects pivot points with customizable lines to clearly show price flow and market structure
• Color-Coded Analysis: Uses distinct colors to indicate bullish trends (green), bearish trends (red), and neutral conditions (yellow)
• Customizable Parameters: Adjustable ATR period, factor, line width, and line style
Input Settings
• ATR Length: Controls the sensitivity of the Supertrend calculation (default: 21)
• Factor: Multiplier for the ATR-based Supertrend bands (default: 2.0)
• Zigzag Line Width: Customize the thickness of connecting lines (1-4)
• Zigzag Line Style: Choose between Solid, Dashed, or Dotted line styles
What Makes This Original
This indicator combines several analytical concepts into a cohesive tool that differentiates it from standard pivot point indicators:
1. Uses Supertrend crossovers as the trigger for pivot detection rather than traditional high/low lookback periods
2. Automatically categorizes market structure using HH/LH/HL/LL labeling system based on pivot relationships
3. Provides real-time zigzag visualization with intelligent color coding that reflects trend direction
4. Integrates trend direction analysis with structural pivot identification in a single comprehensive tool
The underlying calculations use custom logic for tracking trend states, validating pivot points, and determining appropriate color coding based on market structure analysis.
How to Use
1. Trend Identification: Green lines indicate bullish market structure, red lines show bearish structure, yellow indicates transitional periods
2. Support/Resistance: Pivot points often act as future support and resistance levels for price action
3. Market Structure Analysis: HH and HL patterns suggest uptrends, while LH and LL patterns indicate downtrends
4. Entry/Exit Planning: Use pivot points and trend changes to plan potential trade entries and exits
Important Limitations and Warnings
• This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions
• Pivot points are identified after price moves occur, meaning this indicator has inherent lag and cannot predict future pivots
• False signals can occur during ranging or choppy market conditions where trends are unclear
• Past performance of any indicator does not guarantee future results or trading success
• The indicator works best in clearly trending markets and may produce less reliable signals in sideways price action
• This tool requires interpretation and should be combined with other forms of analysis
• Always use proper risk management and position sizing strategies when trading
Why This Script Is Protected
This indicator uses proprietary algorithms for pivot detection timing, trend state management, and market structure analysis that represent original research and development. The specific logic for pivot validation, color-coding methodology, and structural relationship calculations contains unique approaches that differentiate it from standard pivot point indicators available in the public library.
Disclaimer
This indicator is for educational and analysis purposes only and does not constitute investment advice. Trading involves substantial risk and is not suitable for all investors. Past results are not indicative of future performance. The future is fundamentally unknowable and past results in no way guarantee future performance. Always conduct your own research and consider your risk tolerance before making any trading decisions.
NY HIGH LOW BREAKNY HIGH LOW BREAK: A New York Session Breakout Strategy
The "NY HIGH LOW BREAK" indicator is a powerful TradingView script designed to identify and capitalize on breakout opportunities during the New York trading session. This strategy focuses on the initial price action of the New York market open, looking for clear breaches of the high or low established within the first 30 minutes. It's particularly suited for intraday traders who seek to capture momentum-driven moves.
Strategy Logic
The core of the "NY HIGH LOW BREAK" strategy revolves around these key components:
New York Session Opening Range Identification:
The script first identifies the opening range of the New York session. This is defined by the high and low prices established during the first 30 minutes of the New York trading session (from 7:01 AM GMT-4 to 7:31 AM GMT-4).
These crucial levels are then extended forward on the chart as horizontal lines, serving as potential support and resistance zones.
Breakout Signal Generation:
Long Signal: A buy signal is generated when the price breaks above the high of the New York opening range. Specifically, it looks for a candle whose open and close are both above the highLinePrice, and importantly, the previous candle's open was below and close was above the highLinePrice. This indicates a strong upward momentum confirming the breakout.
Short Signal: Conversely, a sell signal is generated when the price breaks below the low of the New York opening range. It looks for a candle whose open and close are both below the lowLinePrice, and the previous candle's open was above and close was below the lowLinePrice. This suggests strong downward momentum confirming the breakdown.
Supertrend Filter (Implicit/Future Enhancement):
While the supertrend and direction variables are present in the code, they are not actively used in the current signal generation logic. This suggests a potential future enhancement where the Supertrend indicator could be incorporated as a trend filter to confirm breakout directions, adding an extra layer of confluence to the signals. For example, only taking long breakouts when Supertrend indicates an uptrend, and short breakouts when Supertrend indicates a downtrend.
Second Candle Confirmation (Possible Future Enhancement):
The close_sec_candle function and openSEC, closeSEC variables indicate an attempt to capture the open and close of a "second candle" (30 minutes after the initial New York open). Currently, closeSEC is used in a specific condition for signal_way but not directly in the primary longSignal or shortSignal logic. This also suggests a potential future refinement where the price action of this second candle could be used for further confirmation or specific entry criteria.
Time-Based Filtering:
Signals are only considered valid within a specific trading window from 8:00 AM GMT-4 to 8:00 AM GMT-4 + 16 * 30 minutes (which is 480 minutes, or 8 hours) on 1-minute and 5-minute timeframes. This ensures that trades are taken during the most active and volatile periods of the New York session, avoiding late-session chop.
The script also highlights the New York session and lunch hours using background colors, providing visual context to the trading day.
Key Features
Automated New York Open Range Detection: The script automatically identifies and plots the high and low of the first 30 minutes of the New York trading session.
Clear Breakout Signals: Visually distinct "BUY" and "SELL" labels appear on the chart when a breakout occurs, making it easy to spot trading opportunities.
Timeframe Adaptability: While optimized for 1-minute and 5-minute timeframes for signal generation, the opening range lines can be displayed on various timeframes.
Customizable Risk-to-Reward (RR): The rr input allows users to define their preferred risk-to-reward ratio for potential trades, although it's not directly implemented in the current signal or trade management logic. This could be used by traders for manual trade management.
Visual Session and Lunch Highlights: The script colors the background to clearly delineate the New York trading session and the lunch break, helping traders understand the market context.
How to Use
Apply the Indicator: Add the "NY HIGH LOW BREAK" indicator to your chart on TradingView.
Select a Relevant Timeframe: For optimal signal generation, use 1-minute or 5-minute timeframes.
Observe the Opening Range: The green and red lines represent the high and low of the first 30 minutes of the New York session.
Look for Breakouts: Wait for price to decisively break above the green line (for a buy) or below the red line (for a sell).
Confirm Signals: The "BUY" or "SELL" labels will appear on the chart when the breakout conditions are met within the active trading window.
Implement Your Risk Management: Use your preferred risk management techniques, including stop-loss and take-profit levels, in conjunction with the signals generated. The rr input can guide your manual risk-to-reward calculations.
Potential Enhancements & Considerations
Supertrend Confirmation: Integrating the supertrend variable to filter signals would significantly enhance the strategy's robustness by aligning trades with the prevailing trend.
Stop-Loss and Take-Profit Automation: The rr input currently serves as a manual guide. Future versions could integrate automated stop-loss and take-profit placement based on this ratio, potentially using ATR for dynamic sizing.
Volume Confirmation: Adding a volume filter to confirm breakouts would ensure that only high-conviction moves are traded.
Backtesting and Optimization: Thorough backtesting across various assets and market conditions is crucial to determine the optimal settings and profitability of this strategy.
Session Times: The current session times are hardcoded. Making these user-definable inputs would allow for greater flexibility across different time zones and trading preferences.
The "NY HIGH LOW BREAK" is a straightforward yet effective strategy for capturing initial New York session momentum. By focusing on clear breakout levels, it aims to provide timely and actionable trading signals for intraday traders.
Band-Zigzag Based Trend FollowerWe defined new method to derive zigzag last month - which is called Channel-Based-Zigzag . This script is an example of one of the use case of this method.
🎲 Trend Following
Defining a trend following method is simple. Basic rule of trend following is Buy High and Sell Low (Yes, you heard it right). To explain further - methodology involve finding an established trend which is flying high and join the trend with proper risk and optimal stop. Once you get into the trade, you will not exit unless there is change in the trend. Or in other words, the parameters which you used to define trend has reversed and the trend is not valid anymore.
Few examples are:
🎯 Using bands
When price breaks out of upper bands (example, Bollinger Band, Keltener Channel, or Donchian Channel), with a pre determined length and multiplier, we can consider the trend to be bullish and similarly when price breaks down the lower band, we can consider the trend to be bearish.
Here are few examples where I have used bands for identifying trend
Band-Based-Supertrend
Donchian-Channel-Trend-Filter
🎯 Using Pivots
Simple logic using zigzag or pivot points is that when price starts making higher highs and higher lows, we can consider this as uptrend. And when price starts making lower highs and lower lows, we can consider this as downtrend. There are few supertrend implementations I have published in the past based on zigzags and pivot points.
Adoptive-Supertrend-Pivots
Zigzag-Supertrend
Drawbacks of both of these methods is that there will be too many fluctuations in both cases unless we increase the reference length. And if we increase the reference length, we will have higher drawdown.
🎲 Band Based Zigzag Method
Band Based Zigzag will help overcome these issues by combining both the methods.
Here we use bands to define our pivot high and pivot low - this makes sure that we are identifying trend only on breakouts as pivots are only formed on breakouts.
Our method also includes pivot ratio to cross over 1.0 to be able to consider it as trend. This means, we are waiting for price also to make new high high or lower low before making the decision on trend. But, this helps us ignore smaller pivot movements due to the usage of bands.
I have also implemented few tricks such as sticky bands (Bands will not contract unless there is breakout) and Adaptive Bands (Band will not expand unless price is moving in the direction of band). This makes the trend following method very robust.
To avoid fakeouts, we also use percentB of high/low in comparison with price retracement to define breakout.
🎲 The indicator
The output of indicator is simple and intuitive to understand.
🎯 Trend Criteria
Uptrend when last confirmed pivot is pivot high and has higher retracement ratio than PercentB of High. Else, considered as downtrend.
Downtrend when last confirmed pivot is pivot low and has higher retracement ratio than PercentB of High. Else, considered as uptrend.
🎯 Settings
Settings allow you to select the band type and parameters used for calculating zigzag and then trend. Also has few options to hide the display.
Phase Coherence Index (PCI) — Hilbert Prototype v0.1Phase Coherence Index (PCI) — Hilbert Prototype v0.1
✨ Concept:
The Phase Coherence Index (PCI) measures the degree of phase alignment among multiple trend components derived from band-filtered price signals.
In simpler terms, PCI quantifies how “in-sync” short, mid, and long-term market oscillations are.
A high PCI (values near 100) means the market’s cyclical components are moving together — a state of phase alignment that typically accompanies sustained, directional trends.
A low PCI (values near 0) indicates phase disorder or divergence between timeframes — often seen during transitions, chop, or volatility compression phases.
✨ How it works:
1. Multi-Band Extraction
The price series is decomposed into three frequency bands using a simple EMA-difference
bandpass filter:
Short-term band
Mid-term band
Long-term band
2. Hilbert Quadrature Approximation
For each band, a Hilbert-style quadrature signal (Q) is estimated using an Ehlers-inspired FIR kernel with coefficients h0=0.0962 and h1=0.5769.
The original bandpass (I) and its quadrature (Q) form a complex phasor that carries instantaneous phase information.
3. Phase Extraction
The arctangent of Q/I gives the phase angle (−π to π).
Each band’s phase represents the “timing” of its oscillation relative to price movement.
4. Coherence Calculation
All three band phases are converted to unit phasors (cos φ, sin φ).
The average of these phasors is taken, and the magnitude of the resulting vector defines the PCI value:
PCI = |mean_phasor| × 100
PCI = 100 → perfect phase alignment
PCI = 0 → complete phase randomness
5. Smoothing and Regime Coloring
The raw PCI is lightly smoothed by EMA to stabilize readings.
A simple SuperTrend regime filter (ATR length 5, factor 6) colors the PCI line:
Green: uptrend regime
Red: downtrend regime
Gray: low-coherence or neutral zone
✨ How to interpret PCI
High PCI (≥70):
Indicates strong phase coherence — multi-timeframe alignment, stable directional energy.
Often coincides with trend persistence or mature momentum phases.
Low PCI (≤30):
Suggests phase dispersion or regime transition — signals are desynchronized across bands.
Common near reversals, volatility compressions, or sideways congestion.
Cross-phase Transitions:
Rapid drops in PCI often precede periods of uncertainty or trend fatigue.
Rising PCI after a contraction suggests emerging order or trend formation.
✨ Visualization
PCI Line:
Displays phase coherence magnitude (0–100).
Color changes dynamically with SuperTrend regime.
Dotted Reference Levels:
70 (high coherence), 30 (low coherence), 50 (midline).
Optional Label:
When PCI is high, a text label appears indicating whether the average phase bias leans bullish or bearish.
✨ Practical Use
Combine PCI with momentum or volatility tools (e.g., RSI, ATR, DFI) to detect when multiple timeframes become synchronized.
Use PCI drops (<30) as early warnings for possible trend exhaustion or market disorder.
Use PCI rises (>70) as confirmation of trend continuation or emerging coherence.
✨ Limitations
PCI measures phase alignment, not directional bias. It should be combined with a directional filter (e.g., SuperTrend, slope, or moving average).
The Hilbert approximation is not a true analytic signal, but a real-time proxy optimized for stability.
PCI is best interpreted as a structural context indicator rather than a direct entry signal.
✨ Educational intent
This script is designed for quantitative study and visualization of phase alignment, not for direct trading advice.
It demonstrates how Hilbert-style phasors and vector averaging can reveal coherence across timescales — a foundational concept for spectral, cyclical, and structural analysis.
✨ Disclaimer
This script is provided for educational purposes only.
It does not constitute financial advice.
Trading involves risk; use at your own discretion.
© 2025 Trading Playground Labs — “Phase Coherence Index (Hilbert Prototype v0.1)
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📘 한국어 설명 (Korean translation below)
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Phase Coherence Index (PCI) — Hilbert Prototype v0.1 (한국어 설명)
✨ 개념
Phase Coherence Index (PCI) 는 여러 주기의 추세 구성 요소들 간에 위상의 정합 정도를 측정하는 지표입니다.
쉽게 말하면, 시장의 단기·중기·장기 진동(사이클)들이 서로 얼마나 “같은 박자”로 움직이는지를 수치화한 것입니다.
PCI 값이 100에 가까울수록 시장의 주기적 구성 요소들이 함께 움직이고 있다는 뜻이며,
이는 일반적으로 지속적인 방향성 추세(trend persistence) 상태를 의미합니다.
반대로 PCI 값이 0에 가까울수록 각 주기의 움직임이 서로 엇박자 상태로 흐르며,
이는 전환기(chop), 혼돈(chaos), 혹은 압축(squeeze) 상태를 반영합니다.
✨ 작동 원리
1. 다중 밴드 추출
가격 데이터를 3개의 주파수 대역으로 분리합니다.
단기 (short-term band)
중기 (mid-term band)
장기 (long-term band)
각 대역은 빠른 EMA와 느린 EMA의 차이(EMA difference)로 얻은 단순한 밴드패스로 계산됩니다.
2. Hilbert 직교 성분 근사
각 밴드에 대해 Ehlers 계열 FIR 필터를 이용한 Hilbert 근사 신호(Q)를 계산합니다.
원본 밴드패스 신호(I)와 Q를 결합하면 복소 위상(phasor) 를 구성할 수 있고,
이를 통해 각 대역의 순간 위상(instantaneous phase) 을 추정합니다.
3. 위상 계산
Q/I의 아크탄젠트 값을 구하면 위상각 φ(−π ~ π)가 도출됩니다.
이 위상은 해당 주기의 진동 타이밍을 나타냅니다.
4. 위상 정합(Phase Coherence) 계산
각 밴드의 위상을 단위 페이저 벡터 (cos φ, sin φ)로 변환합니다.
세 벡터의 평균을 구하고, 그 평균 벡터의 크기를 0~100 스케일로 변환한 값이 PCI입니다.
PCI = |평균 페이저| × 100
PCI = 100 → 완전한 위상 일치
PCI = 0 → 완전한 위상 무질서
5. 스무딩 및 추세 컬러링
계산된 PCI는 EMA로 약간 평활화되어 안정적으로 표시됩니다.
또한, SuperTrend 레짐 필터(ATR=5, Factor=6) 로 추세 방향에 따라 색이 바뀝니다:
초록색: 상승 추세
빨간색: 하락 추세
회색: 저정합 / 중립 구간
✨ 해석 방법
PCI ≥ 70 (높은 정합)
여러 타임프레임이 같은 방향으로 동기화되어 있는 상태입니다.
이는 추세 지속성, 모멘텀 유지, 구조적 안정 상태를 의미합니다.
PCI ≤ 30 (낮은 정합)
각 주기 간 위상 불일치가 심해지며, 시장이 방향을 잃거나 변곡점에 근접한 상황입니다.
보통 조정기, 변동성 축소, 횡보 국면에서 자주 나타납니다.
급격한 변동 (Phase Transition)
PCI가 급격히 하락하는 구간은 추세 피로(trend fatigue) 또는 혼돈 국면 진입의 신호일 수 있으며,
이후 PCI가 상승하기 시작하면 새로운 질서(추세 형성) 가 시작될 가능성을 의미합니다.
✨ 시각화 구성
PCI 라인:
위상 정합도의 크기(0~100)를 표시합니다.
SuperTrend 방향에 따라 색이 동적으로 변합니다.
점선 기준선:
70(높은 정합), 50(중간), 30(낮은 정합) 기준으로 시각화됩니다.
평균 위상 라벨:
PCI가 높을 때, 평균 위상의 방향이 상승(bullish) 인지 하락(bearish) 인지를 라벨로 표시합니다.
✨ 활용 방법
RSI, ATR, DFI 등 다른 모멘텀/변동성 지표와 함께 사용하면, 복수 타임프레임 동기화 구간을 탐지할 수 있습니다.
PCI 하락(30 이하)은 추세 피로 또는 혼돈 진입의 신호로, PCI 상승(70 이상)은 질서 회복 또는 추세 지속의 신호로 해석할 수 있습니다.
추세 전환, 조정, 또는 모멘텀 재편성 구간을 감지하는 데 유용합니다.
✨ 한계점
PCI는 방향성(Direction)을 직접 측정하지 않고, 구조적 정합(Alignment) 만 측정합니다. 따라서 반드시 방향 필터(SuperTrend, MA 기울기 등)와 함께 해석해야 합니다.
Hilbert 근사는 완전한 복소 해석 신호가 아니라, 실시간 안정성을 중시한 근사 모델입니다.
PCI는 진입 시그널용보다는 시장 구조 인식용 보조 지표로 적합합니다.
✨ 교육적 목적
이 스크립트는 위상 정합(phase coherence) 개념의 시각화와 정량적 연구를 위한 목적으로 설계되었습니다.
힐버트 변환 기반 위상 벡터(phasor) 와 벡터 평균화(vector averaging) 의 개념을 통해
시장의 다중 시간 구조 간 일관성(coherence)을 탐색할 수 있습니다.
✨면책
이 지표는 교육 목적으로만 제공됩니다.
투자 조언이 아니며, 모든 트레이딩 결정의 책임은 사용자에게 있습니다.
© 2025 Trading Playground Labs — Phase Coherence Index (Hilbert Prototype v0.1)
Developed for structural & spectral analysis of market phase alignment.
Directional Flow Index (DFI) — v2.4Directional Flow Index (DFI) — v2.4
✨ 1) What DFI measures (conceptual)
DFI aims to quantify directional flow —i.e., whether trading activity is skewed toward buying (supportive pressure) or selling (resistive pressure) —and then present it as a normalized oscillator that is easy to compare across symbols and timeframes. It is designed to highlight high-confidence thrusts within a prevailing trend and to detect fatigue as momentum decays.
Positive DFI (> 0) : net buy-side pressure dominates.
Negative DFI (< 0) : net sell-side pressure dominates.
Magnitude reflects intensity after de-trending and Z-score normalization.
While multiple “flow” proxies exist, this version emphasizes a True Volume Delta (TVD) workflow (default) that tallies buy vs. sell volume from a lower timeframe (LTF) inside an anchor timeframe bar, producing a more realistic per-bar delta when supported by the symbol’s data.
✨ 2) Core pipeline (how it works)
Flow construction (TVD default).
Using ta.requestVolumeDelta(LTF, Anchor), the script approximates up-volume vs. down-volume inside each anchor bar.
A per-bar delta is derived (with a reset on anchor switches to avoid jumps).
If TVD is unsupported on the symbol, DFI can fall back to synthetic proxies (e.g., Synthetic Delta Volume: (close-low)/(high-low) × vol), but TVD is the intended default.
CVD-style accumulation.
Per-bar delta is cumulatively summed into a running flow line (CVD-like), providing temporal context to the net pressure.
High-pass de-trending + smoothing.
A high-pass step (EMA-based) removes slow drifts (trend bias) from the CVD line.
A short EMA smoothing reduces noise while preserving thrust.
Z-score normalization.
The de-trended series is standardized (rolling mean/std), so DFI readings are comparable across markets/timeframes.
The Signal line is an EMA of DFI and is used for momentum cross checks.
SuperTrend (regime filter).
A lightweight SuperTrend (ATR len=5, factor=6 by default) provides up/down regime.
DFI coloring and alerts can be conditioned on the regime (optional).
Fatigue % (0–100).
Tracks energy (EMA of |DFI|) vs. peak energy (with adaptive half-life decay).
When energy stays far below the decaying peak, Fatigue% rises, suggesting momentum exhaustion.
The decay rate adapts to DFI volatility and regime alignment, so decay is faster when thrusts are misaligned with trend, slower when aligned and orderly.
Gradient highlight (confidence shading).
Histogram color transparency blends three ingredients:
DFI strength (|DFI| vs user-set bands)
Low fatigue (fresher thrusts score higher)
Regime alignment (DFI sign vs SuperTrend direction)
Result: darker bars indicate higher confidence in thrust quality; faint bars warn of weaker, stale, or misaligned pushes.
✨ 3) Interpreting the plots
DFI histogram (columns):
Green above zero for buy-side thrust, Red below zero for sell-side thrust.
Opacity encodes confidence (darker = stronger alignment & lower fatigue).
Signal (line): EMA of DFI used for momentum regime checks.
Zero line: structural reference for thrust crossovers.
Fatigue Table (optional): shows Fatigue%, SuperTrend regime, and selected Flow Method.
✨ 4) Alerts (examples)
Long Thrust: DFI crosses above zero while in Up regime.
Short Thrust: DFI crosses below zero while in Down regime.
Loss of Momentum (Up): DFI crosses below Signal while DFI > 0 (warns of weakening long thrust).
Loss of Momentum (Down): DFI crosses above Signal while DFI < 0 (warns of weakening short thrust).
✨ 5) How to set the TVD Lower TF (important)
TVD needs a sensible LTF/Anchor ratio for balanced accuracy and performance. As a rule of thumb, aim for ~30–120 LTF bars inside one anchor bar:
1h chart → 1–2m LTF (if seconds not available).
4h → 3–5m.
1D → 15–30m.
1W → 1–2h.
1M → 4h–1D.
Notes: Some symbols/exchanges do not provide seconds. Too small an LTF can be heavy/noisy; too large becomes coarse/laggy.
✨ 6) Practical usage patterns
Trend-following entries:
Look for DFI > 0 in Up regime (green) with low Fatigue%, and DFI crossing above zero or above its Signal.
Prefer darker (higher-confidence) histogram bars.
Trend-following exits / de-risking:
Rising Fatigue% toward your high threshold (e.g., 80–90) suggests exhaustion.
DFI vs Signal crosses against your position can be used to scale down.
Avoid chop:
When DFI oscillates around zero with faint bars and Fatigue% rises quickly, quality is low—be selective.
✨ 7) Inputs (summary)
Flow Method: default True Volume Delta (LTF scan); synthetic fallbacks available.
Processing: Detrend length, smoothing EMA, Z-score window, Signal EMA.
Regime: SuperTrend ATR length & factor (default 5 & 6).
Fatigue%: EMA length, base half-life, adaptive volatility coupling (enable/disable, sensitivity).
UI Highlight: strength thresholds, fatigue cap, alignment weights, opacity range.
Table: toggle Fatigue table, decimals, position.
✨ 8) Compatibility & performance notes
TVD requires supported data for the symbol; if unavailable, DFI can switch to synthetic deltas.
Smaller LTFs increase request load and may introduce noise; prefer a balanced ratio.
The indicator is designed to be self-contained; no other overlays are needed to read the outputs.
✨ 9) Limitations and good practice
This is an oscillator, not a price predictor. Extreme values can persist in strong trends.
Normalization (Z-score) makes values comparable, but distributions differ across assets/timeframes.
Always combine with risk management and position sizing; avoid interpreting any single condition as a guarantee.
✨ 10) Disclaimer
This script is for educational purposes only and does not constitute financial advice. Trading involves risk, including possible loss of principal.
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한국어 번역 / Korean version below
✨DFI란 무엇인가?
DFI는 시장의 매수·매도 우위를 Flow(흐름) 형태로 분석하여
그 에너지를 정규화된 오실레이터로 표현하는 지표입니다.
가격의 단순 변동이 아니라, “얼마나 일관성 있는 압력(Flow)이 유지되는가”를 보여줍니다.
DFI > 0: 매수세 우위 (상방 압력)
DFI < 0: 매도세 우위 (하방 압력)
값의 크기: 모멘텀의 강도 (Z-score 기반 정규화)
기본 방식인 True Volume Delta (TVD) 는 상위 봉(Anchor) 내부의 하위 타임프레임(LTF) 데이터를 스캔해
실제 매수/매도 체결량 차이를 계산합니다.
이로써 단순 가격 변화가 아닌 실제 체결 흐름의 방향성을 반영합니다.
✨DFI의 계산 과정 (개념적 흐름)
1. Flow 계산 (TVD 또는 대체 방식)
ta.requestVolumeDelta()를 사용하여 상·하위 TF간 볼륨 델타를 계산합니다.
TVD 미지원 심볼은 자동으로 Synthetic Delta Volume 등 대체 방식으로 전환됩니다.
2. 누적(CVD) 구성
Flow를 CVD처럼 누적하여 순매수/순매도 압력을 누적 추적합니다.
3. 고역통과(High-pass) 필터
누적 흐름(CVD)에서 장기 추세 성분을 제거하여 순수한 변동 에너지만 남깁니다.
4. Z-score 정규화
평균과 표준편차로 표준화해 DFI의 크기를 **일정한 스케일(0 중심)**로 만듭니다.
다른 종목·시간대 간 비교가 용이합니다.
5. SuperTrend 레짐(추세 상태) 인식
ATR 기반 ST(기본: Length=5, Factor=6)를 통해 시장이 상승/하락/중립 중 어디에 있는지를 감지합니다.
DFI 컬럼 색상 및 알림은 이 ST 방향에 따라 동작합니다
6. Fatigue% (피로도 지수)
최근 에너지 평균과 역사적 피크(감쇠)를 비교해 0~100%로 “신선도”를 표현합니다.
높을수록 피로한 상태, 낮을수록 신선한 추세.
또한 변동성과 정렬 여부에 따라 Adaptive Half-Life로 감쇠 속도가 자동 조정됩니다.
7. 그라디언트 하이라이트 (Gradient Highlight)
DFI 강도(|DFI|), Fatigue%, 레짐 정렬 상태를 종합해 히스토그램의 투명도를 연속적으로 변화시킵니다.
강하고 신선하며 정렬된 추세일수록 더 진하게 표시, 반대로 약하거나 피로한 구간은 흐리게 표시됩니다.
✨DFI 차트 해석법
DFI 히스토그램 (컬럼):
위로 향한 초록색 = 매수 우위,
아래로 향한 빨강색 = 매도 우위.
진할수록 “신뢰도 높은 흐름(Aligned + Low Fatigue)”
흐릴수록 “노이즈성 움직임 / 피로 구간”
Signal 선:
DFI의 EMA.
DFI와의 교차는 모멘텀 전환 신호로 사용.
Zero 선:
추세 전환의 기준선.
Fatigue Table:
Fatigue%, Regime, Flow Method 정보를 실시간 표시.
✨알림 조건 (Alerts)
DFI Long Thrust: 상승 레짐에서 DFI가 0 위로 돌파.
DFI Short Thrust: 하락 레짐에서 DFI가 0 아래로 돌파.
Loss of Momentum (Up): DFI>0 상태에서 Signal 아래로 하락.
Loss of Momentum (Down): DFI<0 상태에서 Signal 위로 상승.
TVD (True Volume Delta) 설정 가이드
TVD는 Anchor:LowerTF = 약 30~120배 비율이 가장 효율적입니다.
1시간봉 -> 30초~2분
4시간봉 -> 2~8분
일봉(1D) -> 12~48분
주봉(1W) -> 1~4시간
월봉(1M) -> 4시간~ 1일
참고:
일부 거래소는 초 단위를 지원하지 않습니다 → 분 단위로 대체.
너무 짧은 LTF → 과부하/노이즈,
너무 긴 LTF → 신호 지연/정밀도 저하.
✨활용 전략 예시
추세 추종 (Trend-following):
Up Regime에서 DFI>0 & Fatigue% 낮을 때 롱 신호 우선.
DFI가 Signal 위로 돌파하는 시점이 thrust 시작점.
리스크 축소 (De-risking):
Fatigue%가 80~90 이상이면 추세 과열로 간주.
DFI가 Signal을 역방향으로 교차 시 포지션 축소 고려.
횡보 회피:
DFI가 0선 부근에서 얕게 진동하며 흐릿하게 표시될 때는
방향성이 약한 구간 → 진입 회피.
✨한계 및 권장 사용법
TVD는 심볼/거래소의 지원 여부에 따라 제한될 수 있습니다.
Z-score 정규화로 수치 간 비교는 용이하지만, 자산마다 분포 특성이 달라 절대값 해석은 주의 필요.
Fatigue%는 “모멘텀 신선도” 개념이지, 반전 타이밍이 아닙니다.
리스크 관리 및 전략적 컨텍스트 안에서 사용하세요.
✨면책 (Disclaimer)
이 스크립트는 교육용 도구(Educational purpose)이며,
투자 조언(Financial advice)이 아닙니다.
모든 트레이딩에는 손실의 위험이 있으며,
DFI의 신호나 수치가 수익을 보장하지 않습니다.
✨정리
DFI는 단순한 “추세 오실레이터”가 아니라,
에너지의 흐름 + 피로도 + 레짐 정렬이라는 3요소를 결합해
“지속 가능한 방향성”을 시각적으로 표현하는 지표입니다.
즉, 단순한 ‘방향’이 아니라 “추세의 질(Quality)”을 보여주는
새로운 형태의 Flow 분석 도구입니다.
Reddington Trading Bot Adaptive SignalsIntroduction
Reddington Trading Bot Adaptive Signals is a comprehensive multi-signal indicator designed for identifying adaptive trading opportunities across various market conditions. It combines popular technical indicators like SuperTrend, Bollinger Bands, MACD, RSI, ADX, and EMAs into a prioritized signal system, filtered by volatility (ATR), volume, and session times. Optimized for volatile assets like cryptocurrencies (e.g., ETH/USD on 15m–1H timeframes), it generates labeled buy/sell signals with dynamic Entry, SL, Half TP, and TP levels based on ATR.
This indicator adapts to timeframe scaling and trading sessions (Asian, European, American), making it suitable for scalping, counter-trend, or trend-following setups. It visualizes signals with labels and plots levels for easy manual trading. Note: This is an indicator for signal generation—pair it with your risk management rules. Always backtest and demo trade before live use!
Key Features
Adaptive Signals (Prioritized Order):
SuperTrend (ST): Trend-following entries on SuperTrend flips with EMA and BB confirmation.
Bollinger Bands (BB): Breakout signals at BB upper/lower bands.
MACD: Crossover/crossunder with momentum filters.
Counter-Trend (CT): Reversal from BB extremes with RSI bias.
Scalp (SC): Short-term EMA crossovers in neutral RSI zones.
Filters:
ADX > threshold for trend strength.
ATR volatility bounds to avoid low/high vol environments.
RSI neutral zone to skip overbought/oversold extremes.
Volume spike confirmation.
Candle body confirmation (close > open for long, etc.).
Optional session filters (UTC-based: Asian 00:00–08:00, European 08:00–16:00, American 16:00–00:00).
Dynamic Levels:
Entry: Current close on signal.
SL: Entry ± ATR * 2 (1:2 RR base).
Half TP: Entry ± ATR * 2 (partial close suggestion).
TP: Entry ± ATR * 4 (full target, RR 1:2).
Visualization:
Colored labels for each signal type (e.g., “ST Long 3889.43”).
Plots: Entry (yellow cross), SL (red), Half TP (blue), TP (green).
Session info label on last bar.
Timeframe Adaptive: Auto-scales periods based on chart TF (e.g., longer on 1H+).
The indicator uses timeframe-aware calculations for consistency across resolutions and supports alerts for signals.
Parameters (Inputs)
Supertrend Multiplier (3.0): ATR multiplier for SuperTrend (0.1–5.0, step 0.1).
ADX Trend Threshold (25): Minimum ADX for signal validity (10–50).
ATR Volatility Low Mult (0.5): Lower ATR filter multiplier (0.1–2.0).
ATR Volatility High Mult (3.0): Upper ATR filter multiplier (2.0–5.0).
RSI Overbought (70): RSI upper bound for neutral filter (50–90).
RSI Oversold (30): RSI lower bound for neutral filter (10–50).
Trade Asian Session (true): Enable 00:00–08:00 UTC.
Trade European Session (true): Enable 08:00–16:00 UTC.
Trade American Session (true): Enable 16:00–00:00 UTC.
How to Use
Installation: Add to your chart (recommended: 15m–1H for crypto/forex; adjust sessions for your timezone).
Settings: Tune ADX/ATR multipliers for your asset (e.g., higher for BTC volatility). Enable/disable sessions as needed.
Signals:
Long (Buy): Green upward label (e.g., “ST Long 3889.43”)—enter on next bar open.
Short (Sell): Red downward label (e.g., “BB Short 3876.61”)—enter on next bar open.
Prioritization: ST first (strongest trend), then BB/MACD/CT/SC (weaker setups).
Risk Management:
Use plotted levels: Enter at yellow cross, SL at red (stop ~2 ATR), partial at blue (~2 ATR reward), full at green (~4 ATR, RR 1:2).
Position size: Risk 1–2% of capital per trade based on SL distance.
Exit manually if no hit: Trail SL or close on opposite signal.
Alerts: Set up TradingView alerts on label creation for “Reddington Trading Bot Adaptive Signals” (condition: “Any alert() function call”).
Backtesting: Use with manual journaling or convert to strategy script for automated testing (see TradingView docs).
Recommendations:
Best on liquid pairs (ETH, BTC) during active sessions.
Combine with support/resistance for confluence.
Avoid news events—use economic calendar.
Demo trade 50+ signals before live.
Important Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or guarantees of profit. Trading financial instruments involves substantial risk of loss and is not suitable for all investors. Past performance does not indicate future results. The author, TradingView, and any contributors are not liable for any losses or damages arising from the use of this indicator. Before trading, conduct thorough backtesting, forward testing, and consult a licensed financial advisor. Use at your own risk, and ensure you understand the risks involved.
If you have feedback or ideas for enhancements, share in the comments! Happy trading! 📈
Tags: #supertrend #macd #bollingerbands #rsi #adx #scalping #trendfollowing #cryptocurrency #forex
HEERA DIAMOND OPTION PROThis indicator is designed for option sellers who need trend confirmation + key intraday levels to manage risk and time entries.
It combines Daily CPR, Supertrend (10,2), and VWAP — three essential tools that help filter trades and avoid false breakouts.
⚡ Components & Role in Option Selling:
Central Pivot Range (CPR – Daily)
Defines the intraday trend bias (above bullish, below bearish).
Narrow CPR → likely trending day → avoid aggressive selling.
Wide CPR → sideways market → better for option selling (short straddle/strangle, iron condor).
Supertrend (10,2)
Provides directional bias.
For option sellers, use this as a stop-loss indicator:
Stay short OTM Calls if price trades below Supertrend (bearish).
Stay short OTM Puts if price trades above Supertrend (bullish).
VWAP (Daily Anchored)
Acts as a fair value line.
Option sellers use VWAP as a mean-reversion reference:
If price stays close to VWAP → sideways → good for selling options.
If price trends away strongly from VWAP → avoid shorting both sides (avoid straddles).
🎯 Suggested Option Selling Use:
Straddle/Strangle Selling → When price is inside CPR and close to VWAP, with Supertrend flat.
Directional Credit Spreads (Bear Call / Bull Put) → When CPR + VWAP + Supertrend align in one direction.
Avoid Selling → If CPR is narrow and market breaks strongly (high trending risk).
HD_DİNAMİK SEMBOL-SİNYAL TABLO (STrend + EMA(25/99) – v6.2HD_Dynamic Symbol–Signal Table (Short/Mid/Long) — SuperTrend + EMA(25/99) — v6.2
TL;DR
Invite-only indicator that builds a multi-symbol live signal table combining SuperTrend direction with EMA 25/99 state, across three timeframe groups: Short (5/15/30), Mid (45/60/120), Long (180/240/D).
Top 2 rows (e.g., BTC, ETH) always show the full 3×(ST, EMA) matrix; the remaining rows show the active group to stay lightweight. The table colors & texts are highly configurable, and the indicator emits clean alert messages you can route to webhooks (e.g., your bot).
1) What it does
Signal logic (per symbol & timeframe):
SuperTrend direction + EMA 25 vs 99 comparison.
Combination map:
ST=LONG & EMA=LONG → "LONG YAP"
ST=SHORT & EMA=SHORT → "SHORT YAP"
ST=SHORT & EMA=LONG → "SHORT/LONG YAP" (mixed)
ST=LONG & EMA=SHORT → "LONG/SHORT YAP" (mixed)
Timeframe groups
Short: 5/15/30
Mid: 45/60/120
Long: 180/240/D
Auto mode infers the group from the chart TF; Manual mode lets you pin a group.
Pinned priority rows: Row #1 and #2 (default BTC/ETH) always display all three TFs (ST & EMA pairs).
Dynamic list (rows 3–30): Shows only the active group for each symbol to stay fast and readable.
Implementation note: in this build the ST “up”/“down” plotting uses the SuperTrend dir sign convention where dir < 0 is rendered as Uptrend and dir > 0 as Downtrend in visuals. The table/alerts already normalize this into LONG/SHORT text.
2) Table, styling & filters
Placement & fonts: position, title/group/header/body font sizes.
Colors: per-cell/background for header rows, LONG/SHORT states, and distinct brand colors per symbol row (BTC=blue, ETH=amber, majors=greens, mid-caps=oranges, high-risk=reds, new/hyped=purple range).
Symbol column text: “Symbol only”, “Short+Symbol”, or “Short only”.
Filter: Show All / LONG YAP / SHORT YAP / SHORT/LONG YAP / LONG/SHORT YAP. (Pinned BTC/ETH still visible.)
3) Alerts & webhook messages
Per-row alerts: When the active TF for a row resolves on bar close, the indicator sends:
|symbol=|tf=|signal=
Example: HD_ST_EMA|symbol=BINANCE:BTCUSDT|tf=15|signal=LONG YAP
Configure the alert to Once per bar close and set a webhook URL if you want to forward to an execution bot.
Ready-made alertconditions (Robot block):
Select a single alarmSymbol and get four conditions: LONG YAP, SHORT YAP, SHORT/LONG YAP, LONG/SHORT YAP.
Chart-symbol conditions: Extra alertconditions for EMA LONG/SHORT and ST LONG/SHORT on the current chart symbol, if you also want single-symbol triggers.
4) Drawing package (optional)
SuperTrend line with Up/Down segments and trend-flip labels.
EMA 25/99 lines and cross labels.
Main mixed-state labels for the chart symbol can be toggled (LONG/SHORT & mixed cases).
5) Symbols & safety
Priority inputs (#1–2) for BTC/ETH; inputs #3–30 for your list (supports formats like BINANCE:BTCUSDT or BTCUSDT.P).
A basic format validator ignores obviously malformed tickers to avoid request errors.
request.security() powers all multi-TF/multi-symbol reads.
6) How to use
Add indicator to the chart.
Choose Auto (group follows chart TF) or pick Short/Mid/Long manually.
Fill your symbol list (rows 3–30). BTC & ETH are pinned at the top.
Set filter (or keep “All”).
(Optional) Adjust fonts/colors and the “Symbol column” text mode.
Turn Alert on; set alertPrefix if you need a specific route tag.
Create an alert on the indicator, Once per bar close, and (optionally) add a webhook URL.
7) Notes & limits
This is an indicator (no orders are placed). Use the alerts to trigger your own automation.
Designed for crypto symbols; works on other markets if your vendor supports the tickers/timeframes.
Table resizes dynamically to your active list; heavy watchlists may still be constrained by platform limits.
8) Disclaimer
Educational use only. Not financial advice. Past performance does not guarantee future results.
Changelog
v6.2 — Auto/Manual TF-grouping, pinned BTC/ETH tri-TF view, robust alert text format, color-coded priorities, safer symbol validation, ST/EMA flip labels, dynamic table sizing.
Türkçe Özet
Ne yapar?
Birden fazla sembol için SuperTrend + EMA(25/99) durumunu üç periyot grubunda (Kısa 5/15/30 – Orta 45/60/120 – Uzun 180/240/Günlük) tek tabloda gösterir.
BTC/ETH ilk iki satırda her zaman 3×(ST, EMA) birlikte görünür; diğer satırlar aktif gruba göre (performans için) tek grup gösterir.
Sinyal mantığı
İkisi de LONG → LONG YAP
İkisi de SHORT → SHORT YAP
Karışık → SHORT/LONG YAP veya LONG/SHORT YAP (ST/EMA’ya göre)
Alarm & Webhook
Satır bazlı alarm metni:
HD_ST_EMA|symbol=...|tf=...|signal=... (bar kapanışında).
“Robot” bölümünde tek bir sembol için 4 ayrı alertcondition hazır.
Grafikteki sembol için ayrıca EMA LONG/SHORT ve ST LONG/SHORT koşulları da var.
Kullanım
Otomatik/Elle grup seç;
Listeyi doldur (3–30);
Filtre/renk/yazı ayarla;
Alarmı aç ve Once per bar close ile kur; gerekiyorsa webhook URL ekle.
Not
Gösterge emir vermez; sinyalleri kendi köprüne/botuna yönlendirirsin. Yatırım tavsiyesi değildir.
AI-JX# AI-JX v3.0 指标技术分析文档 / Technical Analysis Documentation
## 1. 指标概述 / Indicator Overview
AI-JX v3.0 是一个集成了人工智能学习系统的高级技术分析指标，结合了传统技术指标与AI预测功能，提供多维度的市场分析和交易信号。该指标基于Heikin Ashi蜡烛图和SuperTrend技术，通过AI权重学习系统动态优化参数组合。
AI-JX v3.0 is an advanced technical analysis indicator that integrates an artificial intelligence learning system, combining traditional technical indicators with AI prediction capabilities to provide multi-dimensional market analysis and trading signals. The indicator is based on Heikin Ashi candlesticks and SuperTrend technology, dynamically optimizing parameter combinations through an AI weight learning system.
## 2. 核心信号系统 / Core Signal System
### 2.1 主要交易信号 / Main Trading Signals
#### AI智能买卖信号 / AI Smart Buy/Sell Signals
- **AI买入信号 / AI Buy Signal**: 当buyScore ≥ 70分且AI确认无假突破时触发 / Triggered when buyScore ≥ 70 and AI confirms no false breakout
- **AI卖出信号 / AI Sell Signal**: 当sellScore ≥ 70分且AI确认无假突破时触发 / Triggered when sellScore ≥ 70 and AI confirms no false breakout
- **信号特点 / Signal Features**: 基于多指标融合评分，具有较高的准确性 / Based on multi-indicator fusion scoring with high accuracy
#### 传统SuperTrend信号 / Traditional SuperTrend Signals
- **传统买入 / Traditional Buy**: 趋势从下降转为上升时触发 / Triggered when trend changes from down to up
- **传统卖出 / Traditional Sell**: 趋势从上升转为下降时触发 / Triggered when trend changes from up to down
- **显示方式 / Display Method**: 小尺寸标签，作为参考信号 / Small-sized labels as reference signals
### 2.2 预测性信号 / Predictive Signals
#### 预测强买信号 / Predictive Strong Buy Signal
**触发条件 / Trigger Conditions**:
- RSI < 35 (超卖 / Oversold)
- MACD线上穿信号线 / MACD line crosses above signal line
- 价格接近支撑位(距离<2.5%) / Price near support level (distance <2.5%)
- 成交量放大确认(>1.5倍均量) / Volume confirmation (>1.5x average volume)
- 无假突破向下 / No false breakout downward
#### 预测强空信号 / Predictive Strong Sell Signal
**触发条件 / Trigger Conditions**:
- RSI > 65 (超买 / Overbought)
- MACD线下穿信号线 / MACD line crosses below signal line
- 价格接近阻力位(距离<2.5%) / Price near resistance level (distance <2.5%)
- 成交量放大确认(>1.5倍均量) / Volume confirmation (>1.5x average volume)
- 无假突破向上 / No false breakout upward
### 2.3 背离信号 / Divergence Signals
#### 预测性看涨背离 / Predictive Bullish Divergence
- 价格创新低但RSI未创新低 / Price makes new low but RSI doesn't make new low
- 结合成交量和动量确认 / Combined with volume and momentum confirmation
- 提示潜在的反转机会 / Indicates potential reversal opportunity
#### 预测性看跌背离 / Predictive Bearish Divergence
- 价格创新高但RSI未创新高 / Price makes new high but RSI doesn't make new high
- 结合成交量和动量确认 / Combined with volume and momentum confirmation
- 提示潜在的顶部风险 / Indicates potential top risk
## 3. AI学习系统 / AI Learning System
### 3.1 参数组合策略 / Parameter Combination Strategies
#### 保守型组合 / Conservative Combination
- **适用场景 / Application Scenario**: 横盘震荡市场 / Sideways oscillating markets
- **RSI周期 / RSI Period**: 21
- **MACD参数 / MACD Parameters**: 12,26,9
- **ATR周期 / ATR Period**: 14
- **特点 / Features**: 稳定性高，信号较少但准确性好 / High stability, fewer signals but good accuracy
#### 激进型组合 / Aggressive Combination
- **适用场景 / Application Scenario**: 强趋势突破市场 / Strong trending breakout markets
- **RSI周期 / RSI Period**: 12
- **MACD参数 / MACD Parameters**: 6,21,5
- **ATR周期 / ATR Period**: 10
- **特点 / Features**: 敏感性高，信号较多但需要过滤 / High sensitivity, more signals but require filtering
#### 平衡型组合 / Balanced Combination
- **适用场景 / Application Scenario**: 通用市场环境 / General market conditions
- **RSI周期 / RSI Period**: 17
- **MACD参数 / MACD Parameters**: 10,24,7
- **ATR周期 / ATR Period**: 12
- **特点 / Features**: 平衡敏感性和稳定性 / Balances sensitivity and stability
### 3.2 权重自适应调整 / Adaptive Weight Adjustment
- **学习机制 / Learning Mechanism**: 基于历史交易表现动态调整权重 / Dynamically adjusts weights based on historical trading performance
- **最小学习交易数 / Minimum Learning Trades**: 20笔 / 20 trades
- **学习速率 / Learning Rate**: 0.1 (可调 / adjustable)
- **记忆长度 / Memory Length**: 100笔交易 / 100 trades
## 4. 市场状态识别 / Market State Recognition
### 4.1 市场模式分类 / Market Pattern Classification
- **强趋势突破 / Strong Trend Breakout**: 波动率>1.5且趋势强度>5% / Volatility >1.5 and trend strength >5%
- **横盘震荡 / Sideways Oscillation**: 波动率<0.7且趋势强度<2% / Volatility <0.7 and trend strength <2%
- **上升趋势 / Uptrend**: 20日涨幅>3% / 20-day gain >3%
- **下降趋势 / Downtrend**: 20日跌幅>3% / 20-day decline >3%
- **弱势整理 / Weak Consolidation**: 其他情况 / Other conditions
### 4.2 支撑阻力分析 / Support and Resistance Analysis
#### 动态支撑阻力 / Dynamic Support and Resistance
- **计算方式 / Calculation Method**: 基于历史高低点统计 / Based on historical high/low statistics
- **强度分级 / Strength Classification**: 强/中等/弱 (基于触及次数) / Strong/Medium/Weak (based on touch count)
- **有效性 / Validity**: 价格偏差<0.2%认定为有效触及 / Price deviation <0.2% considered valid touch
#### 斐波那契关键位 / Fibonacci Key Levels
- **23.6%回撤位 / 23.6% Retracement**
- **38.2%回撤位 / 38.2% Retracement**
- **50.0%回撤位 / 50.0% Retracement**
- **61.8%回撤位 / 61.8% Retracement**
- **78.6%回撤位 / 78.6% Retracement**
## 5. 风险控制机制 / Risk Control Mechanisms
### 5.1 假突破识别 / False Breakout Identification
#### 向上假突破 / Upward False Breakout
- 价格突破阻力位后快速回落 / Price breaks resistance then quickly falls back
- 成交量萎缩(<0.8倍均量) / Volume shrinks (<0.8x average volume)
- 自动过滤相关买入信号 / Automatically filters related buy signals
#### 向下假突破 / Downward False Breakout
- 价格跌破支撑位后快速反弹 / Price breaks support then quickly rebounds
- 成交量萎缩(<0.8倍均量) / Volume shrinks (<0.8x average volume)
- 自动过滤相关卖出信号 / Automatically filters related sell signals
### 5.2 多时间框架验证 / Multi-Timeframe Validation
- **时间框架1 / Timeframe 1**: 5分钟 / 5 minutes
- **时间框架2 / Timeframe 2**: 15分钟 / 15 minutes
- **时间框架3 / Timeframe 3**: 60分钟 / 60 minutes
- **一致性要求 / Consistency Requirement**: 三个时间框架趋势方向一致时信号更可靠 / Signals are more reliable when all three timeframes show consistent trend direction
## 6. AI预测功能 / AI Prediction Features
### 6.1 趋势预测系统 / Trend Prediction System
#### 预测评分机制 / Prediction Scoring Mechanism
- **多时间框架一致性 / Multi-Timeframe Consistency**: 30分 / 30 points
- **价格动量分析 / Price Momentum Analysis**: 25分 / 25 points
- **成交量确认 / Volume Confirmation**: 20分 / 20 points
- **支撑阻力位置 / Support/Resistance Position**: 25分 / 25 points
#### 预测结果分类 / Prediction Result Classification
- **强烈看涨 / Strong Bullish**: 评分>80 / Score >80
- **温和看涨 / Moderate Bullish**: 评分60-80 / Score 60-80
- **震荡 / Sideways**: 评分40-60 / Score 40-60
- **温和看跌 / Moderate Bearish**: 评分20-40 / Score 20-40
- **强烈看跌 / Strong Bearish**: 评分<20 / Score <20
### 6.2 智能点位识别 / Smart Level Identification
#### 最佳做多点位 / Optimal Long Entry Points
- 基于支撑位和斐波那契回撤 / Based on support levels and Fibonacci retracements
- 结合RSI超卖和MACD金叉 / Combined with RSI oversold and MACD golden cross
- 提供具体价位和置信度 / Provides specific price levels and confidence scores
#### 最佳做空点位 / Optimal Short Entry Points
- 基于阻力位和斐波那契回撤 / Based on resistance levels and Fibonacci retracements
- 结合RSI超买和MACD死叉 / Combined with RSI overbought and MACD death cross
- 提供具体价位和置信度 / Provides specific price levels and confidence scores
## 7. 使用建议 / Usage Recommendations
### 7.1 信号优先级 / Signal Priority
1. **最高优先级 / Highest Priority**: AI智能信号(评分≥70) / AI smart signals (score ≥70)
2. **高优先级 / High Priority**: 预测性信号+多时间框架确认 / Predictive signals + multi-timeframe confirmation
3. **中等优先级 / Medium Priority**: 传统SuperTrend信号 / Traditional SuperTrend signals
4. **参考级别 / Reference Level**: 背离信号和支撑阻力提示 / Divergence signals and support/resistance hints
### 7.2 参数设置建议 / Parameter Setting Recommendations
#### 新手用户 / Beginner Users
- 启用AI学习系统 / Enable AI learning system
- 使用平衡型组合 / Use balanced combination
- 关注预测性信号 / Focus on predictive signals
- 重视风险控制 / Emphasize risk control
#### 经验用户 / Experienced Users
- 根据市场环境选择组合 / Choose combinations based on market conditions
- 结合多时间框架分析 / Combine multi-timeframe analysis
- 自定义学习参数 / Customize learning parameters
- 灵活运用各类信号 / Flexibly use various signal types
### 7.3 风险提示 / Risk Warnings
- **AI学习需要时间 / AI Learning Takes Time**: 至少20笔交易后才开始有效学习 / Effective learning starts after at least 20 trades
- **市场环境变化 / Market Environment Changes**: 需要定期重新训练AI系统 / AI system needs periodic retraining
- **信号延迟 / Signal Delay**: 部分信号可能存在1-2根K线的延迟 / Some signals may have 1-2 candlestick delay
- **假信号风险 / False Signal Risk**: 震荡市场中可能产生较多假信号 / May generate more false signals in choppy markets
- **过度优化 / Over-optimization**: 避免频繁调整参数导致过拟合 / Avoid frequent parameter adjustments causing overfitting
## 8. 显示面板说明 / Display Panel Description
### 8.1 AI统计面板 / AI Statistics Panel
显示内容包括 / Display contents include:
- 风险等级和买卖评分 / Risk level and buy/sell scores
- 市场状态和波动率 / Market state and volatility
- RSI当前值 / Current RSI value
- AI趋势预测和置信度 / AI trend prediction and confidence
- 最佳入场点位 / Optimal entry points
- 交易机会评估 / Trading opportunity assessment
- AI准确率统计 / AI accuracy statistics
### 8.2 AI预测信息面板 / AI Prediction Information Panel
显示内容包括 / Display contents include:
- 趋势方向和置信度 / Trend direction and confidence
- 价格目标位 / Price target levels
- 最佳做多/做空点位 / Optimal long/short entry points
- 交易机会类型 / Trading opportunity type
- 入场时机建议 / Entry timing recommendations
- 市场情绪分析 / Market sentiment analysis
- 价格形态识别 / Price pattern recognition
## 9. 总结 / Summary
AI-JX v3.0指标通过集成多种技术分析方法和AI学习能力，为交易者提供了一个全面的市场分析工具。其核心优势在于:
The AI-JX v3.0 indicator provides traders with a comprehensive market analysis tool by integrating various technical analysis methods and AI learning capabilities. Its core advantages include:
- **智能化 / Intelligence**: AI自动学习和优化参数 / AI automatically learns and optimizes parameters
- **多维度 / Multi-dimensional**: 结合趋势、动量、支撑阻力等多个维度 / Combines trend, momentum, support/resistance and other dimensions
- **预测性 / Predictive**: 提供前瞻性的市场预测 / Provides forward-looking market predictions
- **风险控制 / Risk Control**: 内置假突破识别和多重确认机制 / Built-in false breakout identification and multiple confirmation mechanisms
建议交易者在使用时结合自身交易风格和市场环境，合理设置参数，并注意风险管理。
It is recommended that traders combine their own trading style and market environment when using this indicator, set parameters reasonably, and pay attention to risk management.
Momentum_EMABand📢 Reposting Notice
I am reposting this script because my earlier submission was hidden due to description requirements under TradingView’s House Rules. This updated version fully explains the originality, the reason for combining these indicators, and how they work together. Follow me for future updates and refinements.
🆕 Momentum EMA Band, Rule-Based System
Momentum EMA Band is not just a mashup — it is a purpose-built trading tool for intraday traders and scalpers that integrates three complementary technical concepts into a single rules-based breakout & retest framework.
Originality comes from the specific sequence and interaction of these three filters:
Supertrend → Sets directional bias.
EMA Band breakout with retest logic → Times precise entries.
ADX filter → Confirms momentum strength and avoids noise.
This system is designed to filter out weak setups and false breakouts that standalone indicators often fail to avoid.
🔧 How the Indicator Works — Combined Logic
1️⃣ EMA Price Band — Dynamic Zone Visualization
Plots upper & lower EMA bands (default: 9-period EMA).
Green Band → Price above upper EMA = bullish momentum
Red Band → Price below lower EMA = bearish pressure
Yellow Band → Price within band = neutral zone
Acts as a consolidation zone and breakout trigger level.
2️⃣ Supertrend Overlay — Reliable Trend Confirmation
ATR-based Supertrend adapts to volatility:
Green Line = Uptrend bias
Red Line = Downtrend bias
Ensures trades align with the prevailing trend.
3️⃣ ADX-Based No-Trade Zone — Choppy Market Filter
Manual ADX calculation (default: length 14).
If ADX < threshold (default: 20) and price is inside EMA Band → gray background marks low-momentum zones.
🧩 Why This Mashup Works
Supertrend confirms trend direction.
EMA Band breakout & retest validates the breakout’s strength.
ADX ensures the market has enough trend momentum.
When all align, entries are higher probability and whipsaws are reduced.
📈 Example Trade Walkthrough
Scenario: 5-minute chart, ADX threshold = 20.
Supertrend turns green → trend bias is bullish.
Price consolidates inside the yellow EMA Band.
ADX rises above 20 → trend momentum confirmed.
Price closes above the green EMA Band after retesting the band as support.
Entry triggered on candle close, stop below band, target based on risk-reward.
Exit when Supertrend flips red or ADX momentum drops.
This sequence prevents premature entries, keeps trades aligned with trend, and avoids ranging markets.
🎯 Key Features
✅ Multi-layered confirmation for precision trading
✅ Built-in no-trade zone filter
✅ Fully customizable parameters
✅ Clean visuals for quick decision-making
⚠ Disclaimer: This is Version 1. Educational purposes only. Always use with risk management.
Kalman Step Signals [AlgoAlpha]Take your trading to the next level with the Kalman Step Signals indicator by AlgoAlpha! This advanced tool combines the power of Kalman Filtering and the Supertrend indicator, offering a unique perspective on market trends and price movements. Designed for traders who seek clarity and precision in identifying trend shifts and potential trade entries, this indicator is packed with customizable features to suit your trading style.
Key Features
🔍 Kalman Filter Smoothing : Dynamically smooths price data with user-defined parameters for Alpha, Beta, and Period, optimizing responsiveness and trend clarity.
📊 Supertrend Overlay : Incorporates a classic Supertrend indicator to provide clear visual cues for trend direction and potential reversals.
🎨 Customizable Appearance : Adjust colors for bullish and bearish trends, along with optional exit bands for more nuanced analysis.
🔔 Smart Alerts : Detect key moments like trend changes or rejection entries for timely trading decisions.
📈 Advanced Visualization : Includes optional entry signals, exit bands, and rejection markers to pinpoint optimal trading opportunities.
How to Use
Add the Indicator : Add the script to your TradingView favorites. Customize inputs like Kalman parameters (Alpha, Beta, Period) and Supertrend settings (Factor, ATR Period) based on your trading strategy.
Interpret the Signals : Watch for trend direction changes using Supertrend lines and directional markers. Utilize rejection entries to identify price rejections at trendlines for precision entry points.
Set Alerts : Enable the built-in alert conditions for trend changes or rejection entries to act swiftly on trading opportunities without constant chart monitoring.
How It Works
The indicator leverages a Kalman Filter to smooth raw price data, balancing responsiveness and noise reduction using user-controlled parameters. This refined price data is then fed into a Supertrend calculation, combining ATR-based volatility analysis with dynamic upper and lower bands. The result is a clear and reliable trend-detection system. Additionally, it features rejection markers for bullish and bearish reversals when prices reject the trendline, along with exit bands to visualize potential price targets. The integration of customizable alerts ensures traders never miss critical market moves.
Add the Kalman Step Signals to your TradingView charts today and enjoy a smarter, more efficient trading experience! 🚀🌟
