逆勢布林+RSI策略 for SOL可以直接套用到 SOLUSDT, SOLPERP, 或其他 SOL 合約。
在策略回測介面中選擇 5min 或 15min 看策略表現。
若要調整停利%或 RSI 數值,改變 rsi < 25 與 (shortEntryPrice - close) / shortEntryPrice >= 0.035 即可。
This can be directly applied to SOLUSDT, SOLPERP, or other SOL futures.
In the strategy backtesting interface, select 5-minute or 15-minute periods to view strategy performance.
To adjust the take-profit percentage or RSI value, set RSI < 25 and (shortEntryPrice - close) / shortEntryPrice >= 0.035.
Oscillators
aiTrendview.com Elliott Wave Probability System ProThe aiTrendview.com Elliott Wave Probability System Pro is an advanced Pine Script tool created for professional traders who rely on a combination of Elliott Wave Theory, Fibonacci levels, trend strength detection, and momentum indicators like RSI, MACD, and Volume. It provides a comprehensive view of market behaviour and helps identify high-probability entry and exit points. Its key highlight is the intelligent horizontal summary table which converts complex analysis into a readable dashboard with clear signals and probability-based price targets.
At the core of the script is the Elliott Wave detection engine, which identifies swing highs and lows using user-defined pivot sensitivity. The setting for “Wave Detection Period” controls the depth of the pivot lookback. A higher value identifies larger wave structures ideal for swing trading, while lower values suit scalping or short-term patterns. These waves form the foundation for calculating Fibonacci retracement and extension levels, which help project potential reversal zones or continuation targets. If “Show Wave Labels” and “Show Wave Lines” are enabled, you’ll see these pivots marked on the chart, making wave pattern recognition simpler.
The script then overlays Fibonacci levels based on a configurable lookback window. This allows traders to view natural retracement and extension levels between the most recent high and low over a chosen candle range. These levels are commonly used by professionals to time entries during pullbacks and exits near extensions. Buying near the 0.382 or 0.5 retracement during a bullish trend, or selling near the 1.0 or 1.618 extension in an overbought market, is a proven strategy when combined with trend and volume confirmation.
For momentum and confirmation, several technical indicators are used. The RSI (Relative Strength Index) helps identify overbought and oversold conditions. When RSI drops below 30, the asset is considered oversold (potential buy), and when above 70, it's overbought (potential sell). MACD, calculated from exponential moving averages, helps identify momentum shifts. A bullish signal occurs when the MACD line crosses above the signal line with increasing histogram; bearish signals are the opposite. Stochastic oscillator values are used internally to further fine-tune bullish or bearish setups. Volume is evaluated through a moving average comparison, and spikes in volume above the 1.5x average can indicate the beginning of a significant move. Together, these indicators provide robust validation for price movements.
One of the most powerful features of this system is trend detection, which uses a multi-layer scoring method.
The trend engine looks at price position within the recent high-low range, slope from linear regression, crossover of moving averages (20 vs. 50), formation of higher highs and higher lows, and the ratio of up-bars to down-bars over the lookback period. These factors combine into a numerical trend score. If the score exceeds a threshold, the trend is classified as bullish or bearish. This helps traders stay on the right side of the market. A strong bullish trend with other indicator confirmation signals a high-probability long trade, while a strong bearish score signals potential short opportunities.
The heart of the system is the probability scoring model. It quantifies various market conditions (RSI, MACD, Volume, Wave Position, Trend Strength) and compiles them into a single score ranging from -10 to +10. This score is then normalized to a 0–100% probability scale and classified into actionable signals such as “🟢 STRONG BUY” or “🔴 STRONG SELL.” These labels appear in the dashboard table with corresponding progress bars, making the system intuitive and quick to interpret. A strong buy signal (score > 3) with high volume and bullish trend is an ideal setup to go long. Conversely, a strong sell signal (score < -3) with declining volume and bearish MACD histogram is a sign to either short or exit long positions.
The system also calculates adaptive price targets based on Fibonacci extensions from the current price. Depending on whether the trend is bullish or bearish, it projects up to 5 price targets using levels like 0.236, 0.382, 0.618, 1.0, and 1.618. Each target is assigned a probability based on the distance and current trend confidence. For example, in a strong bullish setup, Target 1 might have 70% probability while further targets have decreasing chances. The gains or losses from each target are calculated as a percentage from the current close, allowing traders to decide which targets to aim for and where to partially book profits.
All of this information is presented in a sleek horizontal summary table at the bottom of the screen. The table is divided into two sections.
On the left, it shows market indicators like RSI, MACD, Volume, Trend Score, and the overall Signal, each with status, value, and visual strength bars. On the right, it lists the next five price targets along with their target price, probability percentage, and potential gain/loss. The table is fully configurable in size and position to suit different screen layouts. Progress bars, emojis, and color-coded backgrounds make the table easy to read at a glance—even for novice traders.
To trade with this system, a trader should first look at the “Signal” row in the table. If the signal is 🟢 STRONG BUY and the trend is 🚀 BULLISH, with volume and MACD also aligned, it confirms a potential long entry. Entry can be done on a breakout above the last pivot high or near the 0.382 Fibonacci retracement. Price targets (T1–T5) help in profit planning and setting partial exit zones. If the signal is 🔴 STRONG SELL and the trend is 📉 BEARISH, shorting opportunities arise, especially if volume is declining and RSI is overbought.
Alerts are also built in to notify the user when strong buy/sell signals or trend changes occur in real-time. This system is ideal for swing and position traders who want to combine Elliott Wave theory with probability-based price targets. Scalpers can adjust the settings to lower wave and lookback periods to adapt to intraday moves. The script is designed to reduce analysis time by giving a powerful snapshot of the market in one unified view.
⚠️ DISCLAIMER
The aiTrendview.com Elliott Wave Probability System Pro is a technical analysis-based tool. It does not guarantee profits and should be used with other confirmations like market context, risk management, and position sizing. Always test in paper trading or back-testing before using real capital.
FFI-Trend Rider ProFFI-Trend Rider Pro is a trend-following strategy designed to help traders make more structured and disciplined entries.
It uses a crossover between the 11 EMA and 21 SMA to detect potential trend shifts, while avoiding premature entries by checking how far the price is from the moving averages. If the price is extended, it waits for a pullback — just like professional traders do.
The indicator also includes:
Auto stoploss based on 21 SMA
Visual background colors based on RSI to help gauge trend strength
A built-in trade info table showing current trade type, entry price, stoploss, and trailing SL
Strategy-enabled functionality for easy backtesting
🔍 Ideal For:
Intraday & Swing Traders
Traders who want fewer, high-quality trades
Anyone looking to reduce emotional decision-making
⚠️ Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Always do your own analysis before making any trading decisions. Past performance is not indicative of future results.
Gabriel's Universal Z-Score ValuationGabriel’s Universal Z-Score Valuation is an advanced momentum and volatility-based trading indicator designed for adaptive market analysis across all timeframes. It combines Z-Score normalization, dynamic smoothing filters, divergence detection, and multi-timeframe squeeze logic to identify high-probability trade setups.
At its core, the indicator calculates a customized momentum oscillator that reflects price deviation from a dynamic baseline, enhanced by volume or ATR weighting and sentiment factors like VIX or Williams Vix Fix. This oscillator is then multiplied by the ADX, Double-Smoothed, Detrended and Z-Scored.
To smooth signals, the script integrates advanced filters such as Jurik MA, Super Smoother, Butterworth HP, RMS, Hann Window, T3, Gaussian, TRAMA, Linear Regression, and Laguerre-based components. These filters adapt to different market conditions, allowing clean signal extraction with minimal lag.
The indicator also features a multi-timeframe squeeze detection engine, using Bollinger Bands and Keltner Channels to classify volatility contractions into a heat-colored squeeze line. These squeeze dots shift color based on pressure buildup and breakout potential.
Z-Score momentum and its Jurik smoothed signal are plotted along with a histogram to identify crossovers and Pivot reversals are plotted directly on chart. Overbought/oversold background shading and zone lines (±2σ and ±3σ) guide directional bias. The Velocity of the Momentum is used for coloring bars.
Integrated divergence detection scans for regular and hidden divergences using pivots on value, signal, histogram, or velocity, plotting dynamic lines and triggering alerts.
Ideal for trend traders, scalpers, and swing traders alike, this tool offers full customization, intuitive visuals, and robust logic to identify momentum shifts, volatility contractions, and potential reversals. Alerts are included for squeezes, trend flips, and divergences.
Current RSI LabelRSI percentage indicator above stock price. Updates RSI percentage as stock price fluctuates.
Will indicate if the price is overbought or oversold
Ichimoku Cloud Long & Short (Signals, TakeProfits)Description:
This is an advanced trading indicator based on the classic Ichimoku Kinko Hyo system, enhanced with dynamic signals, trade management tools, and visual alerts. It's designed for traders who want structured entries and exits for both long and short positions.
🔧 Core Features:
BUY & SELL Signals based on Ichimoku Cloud structure, Conversion/Base Line crossovers, and Chikou confirmation
Cloud Rebound detection for trend continuation signals after pullbacks
Take-Profit & Stop Signal Labels with dynamic percentage calculation
Bollinger Band Integration to highlight overbought/oversold conditions
Optional Chikou Line, Background Colors, and Signal Legend
Highly customizable through inputs: filter out weak clouds, limit false signals, and fine-tune label visibility
🏷️ Label Breakdown (Displayed on Chart):
✅ BUY
Triggered when:
Price closes above the Ichimoku cloud
Conversion Line > Base Line
Chikou Span confirms bullish structure
⛔ SELL
Triggered when:
Price closes below the cloud
Conversion Line < Base Line
Chikou confirms bearish structure
🟨 BB HIGH / BB LOW
Highlights when:
BUY signal forms above the upper Bollinger Band → BB HIGH
SELL signal forms below the lower Bollinger Band → BB LOW
🟦 S.Rebound
"Simple Rebound":
Displayed when price breaks out of the cloud and confirms a new trend direction (based on Ichimoku logic)
Often appears shortly after entry, signaling a strong follow-through
🟧 C.Rebound
"Cloud Rebound":
Shows a pullback into the cloud followed by a recovery in the trend direction
Useful for adding positions or managing stop levels
🎯 Take Profit
Triggered when:
Price strongly overshoots Bollinger Band in the trade direction
Displays current unrealized % gain from entry
🟧 Stop: Conv↓Base / Stop: Conv↑Base
Triggered when:
Conversion Line crosses against the Base Line during a trade
Signals a potential trend reversal or weakening
Displays current % profit or loss
⬛ Cloud Break Exit
Shown when:
Price crosses back through the cloud against the open trade
Indicates trend breakdown → trade exit condition
💬 RSI XX
RSI value shown at entry, placed above (BUY) or below (SELL)
Helps quickly identify overbought/oversold situations
🎨 Optional Features:
Background coloring for first BUY (🟩) or SELL (🟥) candle
One-candle-only marking (if preferred)
Adjustable cloud strength filter (%-based)
Signal-blocking for recent cloud crossovers
On-screen legend (📘) explaining all labels for clarity
Disclaimer:
This indicator is intended for educational and visual support only. It does not provide financial advice and should be used in conjunction with your own risk management and trading strategy.
RSI Stock Scanner [Pointalgo]The RSI Stock Scanner is a powerful tool designed to monitor the Relative Strength Index (RSI) for up to 20 user-selected stocks. It displays the closing price, RSI value, and market status (Bullish, Bearish, or Neutral) in a clear, organized 10x10 table layout. The RSI is calculated based on a customizable period (default: 14), and the status is determined by RSI thresholds: above 60 for Bullish, below 40 for Bearish, and between 40-60 for Neutral. Users can adjust the text size for better readability and select their preferred stocks via input settings. This non-overlay indicator is ideal for traders looking to quickly assess market conditions across multiple assets.
Features:
Scans 20 user-defined stocks for RSI values.
Displays closing prices, RSI, and market status in a 10x10 table.
Customizable RSI period and text size (tiny, small, normal, large, huge).
Color-coded status: Green (Bullish), Red (Bearish), Yellow (Neutral).
Centered table layout for easy viewing.
Note: This script is published with hidden source code to protect its functionality, in compliance with TradingView's policy on proprietary scripts. Users can access and customize the indicator through the provided input options.
aiTrendview.com Scalping BoardStudy Guide for aiTrendview.com Scalping Board Indicator
1. Script Name (Ticker Symbol)
The name or ticker symbol of the traded instrument is displayed here. This helps the trader quickly identify which asset the data relates to, especially when multiple charts or windows are open. Always confirm that you are analysing the correct security to avoid confusion or misapplication of your strategy.
2. Trend
Trend is a key directional indicator of market momentum. In this script, the trend is primarily determined through RSI (Relative Strength Index) levels and their movement. For example:
• Uptrend: RSI is low (oversold) but rising, signalling bullish momentum.
• Downtrend: RSI is high (overbought) but declining, signalling bearish momentum.
• Neutral: RSI is mid-range or trend is unclear.
Recognizing trend direction helps traders:
• Align trades with overall market momentum, increasing win probability.
• Avoid counter-trend trades which are more risky and unpredictable.
• Filter signals to take only those in the direction of dominant movement.
3. Status
Status provides a snapshot of current market sentiment or action recommendations inferred from RSI and trend dynamics. Notable statuses include:
• Strong Buy: RSI oversold with upward momentum, indicating potential buying opportunity.
• Strong Sell: RSI overbought with downward momentum, indicating potential selling pressure.
• Accumulation / Distribution: Price consolidation phases where smart money might be accumulating or distributing positions before a larger move.
• Hold Long / Hold Short: Waiting phases where traders are advised to maintain positions or exercise caution.
Status signals help traders decide when to enter, hold, or exit trades, and when the market is in a transition or indecision phase.
4. Open Interest (Simulated)
Open interest usually shows the number of open contracts in futures/options markets, but this script simulates it as volume adjusted for recent price movement on a 30-minute timeframe. A rising open interest suggests more participation and liquidity.
Traders use open interest to:
• Confirm trend strength (high open interest in an uptrend supports bullish continuation).
• Detect potential reversals when price moves on declining open interest.
• Gauge market participation to avoid thin/liquidity-starved conditions.
High and increasing open interest paired with volume and price action validates strong move conviction.
5. Risk to Reward (R:R) Ratio
This ratio compares the potential profit of a trade relative to its potential loss. Calculated here using RSI-based recent price levels, it is a critical metric to assess trade quality before entry.
• Higher R:R (e.g., > 2:1): Favorable reward versus risk, attractive trade setup.
• Lower R:R (<1): Risk likely outweighs reward; need cautious entry or avoidance.
Traders should seek trades with a good R:R ratio to maximize profitability over many trades and manage downside risk effectively.
6. Buy Volume Percentage
This metric shows the percentage of total volume that occurred in bullish bars (where close > open), weighted to reflect buying pressure.
• High buy volume % can indicate aggressive buying and potential price strength.
• Sudden surges in buy volume provide clues to momentum shifts.
Traders use this to:
• Confirm bullish entries.
• Validate strength behind price rallies.
• Signal potential breakouts or reversals fueled by buying demand.
Volume patterns are among the most powerful trade confirmation tools.
7. Sell Volume Percentage
Opposite of buy volume percentage, this shows the weighted percentage of volume on bearish or selling bars (close < open).
Observing high sell volume % implies:
• Strong selling pressure and weak price action.
• Potential for breakdowns or trend reversals downwards.
Traders incorporate sell volume percent in conjunction with price and other indicators to fine-tune entries and exits, especially to avoid buying into weakness.
8. Volatility Percentage
Volatility is calculated as Average True Range (ATR) relative to price, expressed in percentage terms.
• High volatility indicates wide price fluctuations and risk but also opportunity.
• Low volatility suggests consolidation or range-bound market.
Traders use volatility to:
• Adjust position sizing—higher volatility means smaller positions to limit risk.
• Time entries or exits—breakouts are more reliable in higher volatility.
• Determine if current conditions suit their trade style (scalers thrive in volatility, trend followers prefer strong directional moves).
9. Winning Probability Percentage
This metric provides an estimated probability of trade success based on RSI level zones and current trend.
• RSI levels below 20 or above 80 often have higher win probability (~85%), reflecting oversold or overbought extremes.
• Moderate levels and alignment with trend improve odds.
• Neutral or conflicting conditions lower win probability to around 50%.
Understanding predicted winning probability helps traders:
• Prioritize high-probability setups.
• Manage expectations and mental preparedness.
• Decide whether to size up or down based on confidence.
How Traders Can Use the Table Effectively
This scalping board condenses multiple actionable metrics into a concise dashboard. Traders can:
• Quickly identify overall market bias by assessing trend and status.
• Gauge trade quality with risk-reward and winning probability before committing.
• Confirm momentum and volume support via buy/sell volume % and ODI proxy.
• Adjust risk management by watching volatility and adapting trade size.
• Make objective, data-driven decisions rather than acting on emotion or guesswork.
Combining these metrics forms a powerful toolkit for short-term, high-frequency scalping or day trading strategies.
Disclaimer from aiTrendview.com
"This indicator is provided for educational and informational purposes only. Trading financial markets involves significant risk, and past performance is not indicative of future results. Always perform your own analysis and use proper risk management techniques. aiTrendview.com is not responsible for any losses or damages incurred from the use of this tool. Use it at your own discretion and consult a financial advisor if needed."
RSI Halving Heatmap by GUELFO
📈 **RSI Halving Heatmap Indicator**
This custom RSI indicator colors the RSI line based on the number of months remaining until the next Bitcoin halving. The closer we get to the halving, the warmer the color—ranging from deep blue (far from halving) to bright red (near halving).
✅ Includes:
- Customizable RSI length and source
- 12-color gradient scale for halving proximity
- Optional SMA overlay on RSI for trend smoothing
Ideal for visualizing market momentum in the context of Bitcoin’s halving cycle.
Smart Price Divergence (MACD Filter) + EMA📌 Purpose
This indicator detects Price Divergences with MACD filtered by a 200 EMA trend condition.
It helps identify high-probability reversal zones aligned with market trend context.
🧠 How It Works
1. MACD Divergence Logic
Bearish Divergence:
Price makes a higher high.
MACD makes a lower high.
Price is above EMA (indicating possible exhaustion in bullish trend).
Bullish Divergence:
Price makes a lower low.
MACD makes a higher low.
Price is below EMA (indicating possible exhaustion in bearish trend).
2. EMA Trend Filter
EMA(200) is used as a directional filter:
Bearish divergences considered above EMA (extended bullish conditions).
Bullish divergences considered below EMA (extended bearish conditions).
3. Visual & Alerts
EMA(200) plotted on chart in orange.
Red triangles for Bearish Divergence.
Green triangles for Bullish Divergence.
Alerts fire for both divergence types.
📈 How to Use
Look for divergence signals as potential reversal alerts.
Combine with support/resistance or price action for confirmation.
EMA ensures signals occur in extended zones, increasing reliability.
Recommended Timeframes: 1h, 4h, D.
Markets: Forex, Crypto, Stocks.
⚙️ Inputs
MACD Fast / Slow / Signal Length
EMA Length (default 200)
⚠️ Disclaimer
This script is for educational purposes only. It does not constitute financial advice.
Always test thoroughly before live trading.
XRSI-Momentum IndexThe XRSI Momentum Index is an enhanced, presentation‑ready implementation of the classic Relative Strength Index (RSI) for TradingView.
It retains the mathematical simplicity of J. Welles Wilder’s RSI while adding a modern visual layer and alert framework that makes momentum assessment faster and less error‑prone on intraday as well as swing charts.
Interpretation Guide
Momentum confirmation
RSI above the Neutral (50) → bullish bias; below → bearish bias.
Noise filters
When RSI oscillates only between OB Noise & OS Noise, ignore whipsaw and stay flat or trend‑follow with reduced size.
Reversal scout
A full cross into the OB or OS band (beyond the noise area) followed by a cross back into the Noise band signals early exhaustion.
EMA overlay
• RSI > EMA RSI → momentum acceleration.
• RSI < EMA RSI → momentum cooling.
Combine with price structure (higher‑highs / lower‑lows) for divergence detection.
Quick‑Start
Add to Chart
Indicators → Invite‑only scripts → XRSI Momentum Index (or paste the source into Pine editor).
Tune Zones
For volatile pairs (e.g., GBPJPY), widen OB/OS to 80 / 20.
For range‑bound assets (e.g., EURCHF), tighten to 60 / 40.
Set Alerts
Right‑click indicator → Add alert → choose condition (e.g., “Entry Into Oversold Area”) → route to webhook or app.
Optional EMA Strategy
Overlay price 50/200 EMA on chart; trade only when XRSI and price trend agree.
HBD.warning wave scanningThis indicator is a detailed technical analysis tool designed to track trading splits, identify potential trend reversals, and monitor key price movements in the cryptocurrency markets. Available in multiple versions, these indicators combine various options to help you understand market dynamics. Fibonacci levels automatically change. These are important areas within the orange zone. You can set alarms for these levels. Enjoy the benefits.
(MACD) 25 0122 미팅 MACD 볼린저Here is the English translation:
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"I am currently testing the upload.
The content of the test script involves utilizing Bollinger Bands by linking the Bollinger Band basis line with the MACD's '0' baseline, allowing the MACD to be visualized on the chart."
Assets Correlation AnalyzerAssets Correlation Analyzer
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What is it?
The Assets Correlation Analyzer is a technical indicator that measures and visualizes the statistical relationship between any two financial assets (a 'Base Asset' vs. a 'Comparison Asset', example Gold vs. SPY or Nasdaq vs. Bitcoin). The indicator calculates dynamic correlation tracking using statistical methods, confidence intervals, and category-wide analysis capabilities.
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Why was it built? / Potential Benefits
This indicator was developed to help analyze inter-asset relationships in portfolio management and trading strategies. The indicator can be used for:
Risk Assessment: Identify when assets begin moving together
Diversification Analysis: Monitor portfolio component relationships
Pairs Trading: Identify when correlated assets diverge
Market Analysis: Recognize shifts in market conditions through correlation patterns
Asset Analysis: Support decision-making based on correlation dynamics
Hedging Analysis: Identify relationships between different instruments
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How it Works
The indicator employs established statistical methods to calculate rolling correlations between two selected assets:
Data Collection: Retrieves price data for both selected assets using TradingView's security function
Returns Calculation: Computes logarithmic or simple returns based on user preference
Outlier Filtering: Optionally removes extreme price movements (beyond 2.5 standard deviations) to improve accuracy
Correlation Computation: Calculates either Pearson or Spearman rank correlation over the specified period
Signal Generation: Applies smoothing and generates a signal line (EMA) for momentum detection
Confidence Assessment: Evaluates data quality and provides confidence metrics
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How to Read the Oscillator
Main Correlation Line
Values Range: -1.0 to +1.0
+1.0: Perfect positive correlation (assets move identically)
+0.7 to +0.99: Strong positive correlation
+0.3 to +0.69: Moderate positive correlation
-0.3 to +0.29: Weak/No significant correlation
-0.69 to -0.31: Moderate negative correlation
-0.99 to -0.7: Strong negative correlation
-1.0: Perfect negative correlation (assets move oppositely)
Color Coding System
Green shades: Positive correlation levels, with brighter green indicating stronger positive correlation
Red shades: Negative correlation levels, with brighter red indicating stronger negative correlation
Gray: Insufficient data or transitional periods
The color intensity reflects both correlation strength and momentum relative to the signal line.
Signal Line (Gray)
The EMA-based signal line helps identify momentum changes:
Correlation above signal: Positive momentum in correlation
Correlation below signal: Negative momentum in correlation
Crossovers: Potential turning points in the relationship
Background Fills
Gradient fills provide a quick visual assessment of correlation strength, with intensity indicating the degree of correlation.
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Correlation Calculation Methods and Options
Calculation Methods
Spearman Rank Correlation (Default)
Uses ranked values rather than raw prices
Less sensitive to outliers and non-linear relationships
Suitable for volatile or non-normally distributed assets
Pearson Correlation (Traditional)
Standard linear correlation method
More sensitive to outliers
Suitable for assets with normal distribution patterns
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Customization Options
Correlation Period (7-500 bars): Determines the lookback window for calculation
Signal Line Period (1-200 bars): Controls the smoothing of the signal line
Outlier Removal: Automatically filters extreme price movements
Return Type: Choose between logarithmic (recommended) or simple returns
Smoothing Period: Reduces noise in correlation readings
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Asset Categories
The indicator includes 80+ pre-configured assets across multiple categories:
Metals: Gold, Silver, Copper, Platinum, Palladium, Nickel, Zinc, Aluminum
Energy: WTI/Brent Crude, Natural Gas, Uranium
Agriculture: Corn, Soybeans, Wheat, Coffee
ETFs: Major indices, sector, geographic, and specialty ETFs
Bonds: Government and corporate bond instruments
Financial: Currency pairs, treasury yields, volatility indices
Cryptocurrencies: Major digital assets and market cap indices
Real Estate: REITs and real estate focused instruments
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For Whom This Indicator Is Designed
Intended Users
Portfolio Managers: Asset allocation and risk assessment
Quantitative Traders: Correlation-based strategy development
Risk Analysts: Correlation monitoring and analysis
Institutional Investors: Diversification analysis
Active Traders: Pairs trading and arbitrage analysis
Skill Level
Intermediate to Advanced: Requires understanding of correlation concepts and statistical interpretation
Experience with Statistics: Users should be familiar with correlation analysis concepts
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Information Tables
Main Analysis Table
Displays current correlation value, data confidence percentage, and selected asset information.
Category Correlation Table
Shows correlation strength between the selected 'Base Asset' (in the chart, Gold) and all assets in the comparison asset's category.
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Alert Conditions
Four built-in alert types:
Strong Stable Positive Correlation: Triggers when correlation exceeds +0.8 with low volatility
Strong Stable Negative Correlation: Triggers when correlation falls below -0.8 with low volatility
Bullish Correlation Momentum: Signals when correlation crosses above the signal line
Bearish Correlation Momentum: Signals when correlation crosses below the signal line
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Usage Notes
Longer periods (30-50 bars) provide more stable analysis
Shorter periods (10-20 bars) provide more responsive signals
Monitor confidence levels - correlations with <75% confidence should be interpreted cautiously
Correlations tend to increase during market stress periods
Should be used in conjunction with other analysis tools
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Important Disclaimer
This indicator is for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy, sell, or hold any financial instrument. Past correlation patterns do not guarantee future relationships between assets. Users should conduct their own research and consider consulting with a qualified financial advisor before making investment decisions. Trading and investing involve substantial risk of loss, and correlation analysis cannot eliminate these risks. The accuracy of correlation calculations depends on data quality and market conditions, which can change rapidly.
Blue Dot Pullback with Bollinger BonusKey FeaturesCore Blue Dot Condition:ATH Pulse: Checks if the highest high in the lookback period (default: 60 bars) is within 1% of the all-time high (over 5000 bars), using recentHigh >= allTimeHigh * 0.99.
Pullback: Price must be below the recent high (close < recentHigh ) but above a 10-period SMA (close > sma10) to ensure a bullish context.
Stochastic Crossover: Stochastic %K must cross above 20 (ta.crossover(k, stochOverSold)).
When these conditions are met, a blue dot is plotted below the bar.
Purple Dot Condition (Bollinger Band Bonus):Includes all blue dot conditions plus the price being within 2% of the lower Bollinger Band (close <= lowerBB * bbProximity).
When met, a purple dot is plotted instead of a blue dot to highlight the stronger signal.
Plotting Logic:Blue dots are plotted only when blueDotCondition is true and purpleDotCondition is false to avoid overlap.
Purple dots are plotted when purpleDotCondition is true (includes Bollinger Band proximity).
Alerts:Added separate alertcondition calls for blue and purple dots, allowing you to set up notifications in TradingView for each signal type.
Visualization:Stochastic %K and %D are plotted in a separate pane for reference, along with the oversold line (20).
You can disable the Stochastic plot by setting display=display.none in the plot functions.
Why This Should WorkCore Setup Alignment: The blue dot condition focuses on the core requirements (ATH, pullback, Stochastic crossover), which should produce signals similar to or more frequently than the ChatGPT script, as it omits the Bollinger Band requirement unless the purple dot condition is met.
Bollinger Band Bonus: The purple dot incorporates the Bollinger Band proximity check (bbNear), matching the ChatGPT script’s additional filter, ensuring purple dots appear when the price is near the lower Bollinger Band.
Flexible ATH Detection: Using recentHigh >= allTimeHigh * 0.99 makes the ATH condition less strict, increasing the likelihood of signals compared to my original script.
How to UseAdd to TradingView:Open the Pine Editor in TradingView.
Copy and paste the script.
Click "Add to Chart" to apply it.
Interpret Dots:Blue Dot: Indicates a stock near an ATH, in a pullback (above 10-period SMA), with a Stochastic crossover above 20. This is the core Dr. Wish setup.
Purple Dot: Same as blue dot but with the price also within 2% of the lower Bollinger Band, suggesting a stronger pullback signal.
Test and Compare:Apply the script to the same stock and timeframe where the ChatGPT script showed blue dots (e.g., NVDA or TSLA on a daily chart).
Check if blue dots appear at similar points and if purple dots appear when the price is near the lower Bollinger Band.
Adjust lookbackATH (e.g., 60 to 100) or bbProximity (e.g., 1.02 to 1.05) if signals are too rare or frequent.
Set Alerts:Use TradingView’s alert feature to create notifications for “Blue Dot Alert” or “Purple Dot Alert” when signals occur.
TroubleshootingIf you’re still not seeing blue or purple dots:Check the Chart: Ensure the stock has recently hit an ATH and pulled back. Test on volatile stocks like NVDA, TSLA, or AAPL on daily or weekly timeframes.
Timeframe Sensitivity: The script may produce fewer signals on lower timeframes (e.g., 1-hour) due to fewer ATH occurrences. Try a daily or weekly chart.
Parameter Tuning: Increase bbProximity (e.g., to 1.05) to allow purple dots for prices slightly further from the lower Bollinger Band, or increase lookbackATH to capture more ATHs.
Compare with ChatGPT Script: Run both scripts on the same chart to identify where signals differ. Share the ticker, timeframe, or a screenshot if you need help debugging specific cases.
Additional NotesThe 10-period SMA in the pullback condition (isPullback) is a simple bullish context filter. You can replace it with another condition (e.g., 20-period SMA or trend filter) if preferred.
The Bollinger Band parameters (bbLength=20, bbMult=2.0) are standard but can be adjusted to match your trading style.
The script uses a 5000-bar lookback for allTimeHigh to approximate a true ATH. If your chart has limited historical data, reduce this value (e.g., to 1000).
EMA-VWAP Super Reversal (Final Advanced Version)EMA-VWAP Super Reversal – User Guide
This indicator is designed for high-probability reversal trading setups on futures such as NQ1! and ES1!, following strict confluence conditions.
✅ Signal Types
🟢 / 🔴 Mean Reversion Dots
Appear when all 4 stochastics (15m, 5m, 1m) are extreme (>80 or <20)
AND price is far (>0.05% by default, adjustable) from EMA21 on the 15m.
Indicates potential snapback to EMAs.
🔺 Green / Orange EMA Reversal Triangles
Appear when stochastics are extreme
AND price pulls back into EMAs while the EMAs are correctly postured (bullish or bearish).
Indicates a high-probability reversal.
💎 Purple Diamond Super Reversal
Appears when EMA reversal conditions are met
AND there is divergence on the fast stochastic (Stoch1).
Strongest reversal signal.
✅ Confluence Checks Built In
✔ Multi-timeframe stochastic alignment (15m, 5m, 1m)
✔ EMA posture (bullish or bearish stack)
✔ EMA pullback logic or EMA distance check
✔ VWAP reversion point consideration
✔ Divergence detection for strongest signals
✅ How to Use
Use on a 15-minute chart (optimal).
Look for Super Reversal diamonds first (highest conviction).
Confirm with price action and key levels before entry.
Combine with order flow, liquidity sweeps, or market structure for best results.
⚙ Settings
EMA Distance Threshold (%) → Default 0.05 (for Mean Reversion Dots).
Increase for fewer, stronger signals.
Decrease for more sensitivity.
📌 Best Practices
Focus on reversals during London & NY sessions.
Avoid trading against strong higher timeframe trends without extra confirmation.
Use tight stops and let winners run when the setup is strong.
💡 This tool is built to highlight only the cleanest reversal setups with layered confluence. Use it to filter noise and stay disciplined with your entries.
DMI PRODMI PRO Indicator Description
The DMI PRO indicator is a custom technical analysis tool designed to enhance trading decisions by analyzing directional movement in price action. Built on the principles of the Directional Movement Index (DMI), this indicator calculates the difference between the Positive Directional Indicator (+DI) and Negative Directional Indicator (-DI) to provide a single, intuitive metric called DMI PRO. This value helps traders identify the strength and direction of market trends.
Key Features:
DMI PRO Calculation: The indicator computes the difference between +DI and -DI, offering a clear view of whether bullish or bearish momentum is dominating.
Customizable Length: Users can adjust the lookback period (default set to 14) to fine-tune the sensitivity of the indicator to market conditions.
Visual Clarity: The DMI PRO value is plotted as a single line, with positive values indicating bullish momentum and negative values signaling bearish momentum. A zero line is included for quick reference to identify shifts in market direction.
Non-Overlay Design: The indicator is displayed in a separate panel below the price chart, ensuring it does not clutter the main chart view.
How It Works:
The DMI PRO indicator uses smoothed directional movement calculations based on true range (TR), positive directional movement (+DM), and negative directional movement (-DM). These are processed over the specified period to derive +DI and -DI, which are then subtracted to produce the DMI PRO value. A positive DMI PRO suggests stronger bullish momentum, while a negative value indicates bearish momentum.
Usage:
Trend Identification: Positive DMI PRO values above the zero line suggest a bullish trend, while negative values below the zero line indicate a bearish trend.
Divergence Analysis: Traders can use the indicator to spot divergences between price and DMI PRO for potential reversal signals.
Confirmation Tool: Combine with other indicators or price patterns to confirm trade entries and exits.
Settings:
Length: Adjust the period (default: 14) to control the smoothing of the directional movement calculations.
Notes:
The indicator is designed for use across various markets and timeframes, including stocks, forex, cryptocurrencies, and commodities.
For optimal results, use in conjunction with other technical analysis tools to validate signals.
This is not financial advice; always conduct your own research and consider market conditions before making trading decisions.
Custom EMA/SMA Dashboard📊 Custom EMA/SMA Dashboard
This indicator provides a customizable dashboard to display multiple moving averages (MAs) on your chart. You can switch between EMA (Exponential Moving Average) and SMA (Simple Moving Average) with a single input, and independently enable, color, and style each line.
✨ Features:
✅ Choose between EMA and SMA for all MAs
✅ Enable or disable each MA individually
🎨 Custom color and line width for:
10-period MA
20-period MA
50-period MA
200-period MA
RSI WMA VWMA Divergence Indicator// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © Kenndjk
//@version=6
indicator(title="RSI WMA VWMA Divergence Indicator", shorttitle="Kenndjk", format=format.price, precision=2)
oscType = input.string("RSI", "Oscillator Type", options = , group="General Settings")
// RSI Settings
rsiGroup = "RSI Settings"
rsiLengthInput = input.int(14, minval=1, title="RSI Length", group=rsiGroup)
rsiSourceInput = input.source(close, "Source", group=rsiGroup)
// WMA VWMA
wmaLength = input.int(9, "WMA Length", minval=1, group="WMA Settings")
vwmaLength = input.int(3, "VWMA Length", minval=1, group="WMA Settings")
wma = ta.wma(close, wmaLength)
vwma = ta.vwma(close, vwmaLength)
useVWMA = input.bool(true, "Use VWMA for Divergence (when WMA + VWMA mode)", group="WMA Settings")
// Oscillator selection
rsi = ta.rsi(rsiSourceInput, rsiLengthInput) // Calculate RSI always, but use conditionally
osc = oscType == "RSI" ? rsi : useVWMA ? vwma : wma
// RSI plots (conditional)
isRSI = oscType == "RSI"
rsiPlot = plot(isRSI ? rsi : na, "RSI", color=isRSI ? #7E57C2 : na)
rsiUpperBand = hline(isRSI ? 70 : na, "RSI Upper Band", color=isRSI ? #787B86 : na)
midline = hline(isRSI ? 50 : na, "RSI Middle Band", color=isRSI ? color.new(#787B86, 50) : na)
rsiLowerBand = hline(isRSI ? 30 : na, "RSI Lower Band", color=isRSI ? #787B86 : na)
fill(rsiUpperBand, rsiLowerBand, color=isRSI ? color.rgb(126, 87, 194, 90) : na, title="RSI Background Fill")
midLinePlot = plot(isRSI ? 50 : na, color = na, editable = false, display = display.none)
fill(rsiPlot, midLinePlot, 100, 70, top_color = isRSI ? color.new(color.green, 0) : na, bottom_color = isRSI ? color.new(color.green, 100) : na, title = "Overbought Gradient Fill")
fill(rsiPlot, midLinePlot, 30, 0, top_color = isRSI ? color.new(color.red, 100) : na, bottom_color = isRSI ? color.new(color.red, 0) : na, title = "Oversold Gradient Fill")
// WMA VWMA plots
wmaColor = oscType != "RSI" ? (useVWMA ? color.new(color.blue, 70) : color.blue) : na
wmaWidth = useVWMA ? 1 : 2
vwmaColor = oscType != "RSI" ? (useVWMA ? color.orange : color.new(color.orange, 70)) : na
vwmaWidth = useVWMA ? 2 : 1
plot(oscType != "RSI" ? wma : na, "WMA", color=wmaColor, linewidth=wmaWidth)
plot(oscType != "RSI" ? vwma : na, "VWMA", color=vwmaColor, linewidth=vwmaWidth)
// Smoothing MA inputs (only for RSI)
GRP = "Smoothing (RSI only)"
TT_BB = "Only applies when 'Show Bollinger Bands' is selected. Determines the distance between the SMA and the bands."
maLengthSMA = input.int(14, "SMA Length", minval=1, group=GRP, display=display.data_window)
maLengthEMA = input.int(14, "EMA Length", minval=1, group=GRP, display=display.data_window)
maLengthRMA = input.int(14, "SMMA (RMA) Length", minval=1, group=GRP, display=display.data_window)
maLengthWMA = input.int(14, "WMA Length", minval=1, group=GRP, display=display.data_window)
maLengthVWMA = input.int(14, "VWMA Length", minval=1, group=GRP, display=display.data_window)
bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP, display=display.data_window)
showSMA = input.bool(false, "Show SMA", group=GRP)
showEMA = input.bool(false, "Show EMA", group=GRP)
showRMA = input.bool(false, "Show SMMA (RMA)", group=GRP)
showWMAsmooth = input.bool(false, "Show WMA", group=GRP)
showVWMAsmooth = input.bool(false, "Show VWMA", group=GRP)
showBB = input.bool(false, "Show SMA + Bollinger Bands", group=GRP, tooltip=TT_BB)
// Smoothing MA Calculations
sma_val = (showSMA or showBB) and isRSI ? ta.sma(rsi, maLengthSMA) : na
ema_val = showEMA and isRSI ? ta.ema(rsi, maLengthEMA) : na
rma_val = showRMA and isRSI ? ta.rma(rsi, maLengthRMA) : na
wma_val = showWMAsmooth and isRSI ? ta.wma(rsi, maLengthWMA) : na
vwma_val = showVWMAsmooth and isRSI ? ta.vwma(rsi, maLengthVWMA) : na
smoothingStDev = showBB and isRSI ? ta.stdev(rsi, maLengthSMA) * bbMultInput : na
// Smoothing MA plots
plot(sma_val, "RSI-based SMA", color=(showSMA or showBB) ? color.yellow : na, display=(showSMA or showBB) ? display.all : display.none, editable=(showSMA or showBB))
plot(ema_val, "RSI-based EMA", color=showEMA ? color.purple : na, display=showEMA ? display.all : display.none, editable=showEMA)
plot(rma_val, "RSI-based RMA", color=showRMA ? color.red : na, display=showRMA ? display.all : display.none, editable=showRMA)
plot(wma_val, "RSI-based WMA", color=showWMAsmooth ? color.blue : na, display=showWMAsmooth ? display.all : display.none, editable=showWMAsmooth)
plot(vwma_val, "RSI-based VWMA", color=showVWMAsmooth ? color.orange : na, display=showVWMAsmooth ? display.all : display.none, editable=showVWMAsmooth)
bbUpperBand = plot(showBB ? sma_val + smoothingStDev : na, title="Upper Bollinger Band", color=showBB ? color.green : na, display=showBB ? display.all : display.none, editable=showBB)
bbLowerBand = plot(showBB ? sma_val - smoothingStDev : na, title="Lower Bollinger Band", color=showBB ? color.green : na, display=showBB ? display.all : display.none, editable=showBB)
fill(bbUpperBand, bbLowerBand, color=showBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display=showBB ? display.all : display.none, editable=showBB)
// Divergence Settings
divGroup = "Divergence Settings"
calculateDivergence = input.bool(true, title="Calculate Divergence", group=divGroup, tooltip = "Calculating divergences is needed in order for divergence alerts to fire.")
lookbackLeft = input.int(5, "Pivot Lookback Left", minval=1, group=divGroup)
lookbackRight = input.int(5, "Pivot Lookback Right", minval=1, group=divGroup)
rangeLower = input.int(5, "Min Range for Divergence", minval=0, group=divGroup)
rangeUpper = input.int(60, "Max Range for Divergence", minval=1, group=divGroup)
showHidden = input.bool(true, "Show Hidden Divergences", group=divGroup)
bearColor = color.red
bullColor = color.green
textColor = color.white
noneColor = color.new(color.white, 100)
_inRange(cond) =>
bars = ta.barssince(cond)
rangeLower <= bars and bars <= rangeUpper
bool plFound = false
bool phFound = false
bool bullCond = false
bool bearCond = false
bool hiddenBullCond = false
bool hiddenBearCond = false
float oscLBR = na
float lowLBR = na
float highLBR = na
float prevPlOsc = na
float prevPlLow = na
float prevPhOsc = na
float prevPhHigh = na
if calculateDivergence
plFound := not na(ta.pivotlow(osc, lookbackLeft, lookbackRight))
phFound := not na(ta.pivothigh(osc, lookbackLeft, lookbackRight))
oscLBR := osc
lowLBR := low
highLBR := high
prevPlOsc := ta.valuewhen(plFound, oscLBR, 1)
prevPlLow := ta.valuewhen(plFound, lowLBR, 1)
prevPhOsc := ta.valuewhen(phFound, oscLBR, 1)
prevPhHigh := ta.valuewhen(phFound, highLBR, 1)
// Regular Bullish
oscHL = oscLBR > prevPlOsc and _inRange(plFound )
priceLL = lowLBR < prevPlLow
bullCond := priceLL and oscHL and plFound
// Regular Bearish
oscLL = oscLBR < prevPhOsc and _inRange(phFound )
priceHH = highLBR > prevPhHigh
bearCond := priceHH and oscLL and phFound
// Hidden Bullish
oscLL_hidden = oscLBR < prevPlOsc and _inRange(plFound )
priceHL = lowLBR > prevPlLow
hiddenBullCond := priceHL and oscLL_hidden and plFound and showHidden
// Hidden Bearish
oscHH_hidden = oscLBR > prevPhOsc and _inRange(phFound )
priceLH = highLBR < prevPhHigh
hiddenBearCond := priceLH and oscHH_hidden and phFound and showHidden
// Plot divergences (lines and labels on pane)
if bullCond
leftBar = ta.valuewhen(plFound, bar_index , 1)
line.new(leftBar, prevPlOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bullColor, width=2)
label.new(bar_index , oscLBR, "R Bull", style=label.style_label_up, color=noneColor, textcolor=textColor)
if bearCond
leftBar = ta.valuewhen(phFound, bar_index , 1)
line.new(leftBar, prevPhOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bearColor, width=2)
label.new(bar_index , oscLBR, "R Bear", style=label.style_label_down, color=noneColor, textcolor=textColor)
if hiddenBullCond
leftBar = ta.valuewhen(plFound, bar_index , 1)
line.new(leftBar, prevPlOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bullColor, width=2, style=line.style_dashed)
label.new(bar_index , oscLBR, "H Bull", style=label.style_label_up, color=noneColor, textcolor=textColor)
if hiddenBearCond
leftBar = ta.valuewhen(phFound, bar_index , 1)
line.new(leftBar, prevPhOsc, bar_index , oscLBR, xloc=xloc.bar_index, color=bearColor, width=2, style=line.style_dashed)
label.new(bar_index , oscLBR, "H Bear", style=label.style_label_down, color=noneColor, textcolor=textColor)
// Alert conditions
alertcondition(bullCond, title="Regular Bullish Divergence", message="Found a new Regular Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
alertcondition(bearCond, title="Regular Bearish Divergence", message="Found a new Regular Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
alertcondition(hiddenBullCond, title="Hidden Bullish Divergence", message="Found a new Hidden Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
alertcondition(hiddenBearCond, title="Hidden Bearish Divergence", message="Found a new Hidden Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.")
DI/ADX Trend Strategy | (1-Min Scalping)Strategy Overview
This is an experimental 1-minute trend-following strategy combining DI+/DI-, ADX, RSI, MACD, VWAP, and EMA filters with a time-based exit. It aims to catch strong directional moves while strictly managing risk.
Indicator Components
• DI+/DI- + ADX – Trend direction + strength filter
• RSI (14) – Momentum confirmation (RSI > 55 or < 45)
• MACD Histogram – Detects directional momentum shifts
• Candle Body % Filter – Screens for strong commitment candles
• EMA 600 / 2400 – Long-term trend alignment
• Weekly VWAP – Entry only when price is above/below VWAP
• Trade Limit – Max 2 trades per direction per VWAP cycle
• Time-Based Stop – 0.50% SL, 3.75% TP, 12h (720 bars) time stop
Entry Logic
Long Entry:
• DI+ crosses above DI−
• RSI > 55
• MACD histogram > 0
• Strong bullish candle
• Price > VWAP
• EMA600 > EMA2400
• Within 25 bars of EMA crossover
• Max 2 long trades before VWAP resets
Short Entry:
• DI+ crosses below DI−
• RSI < 45
• MACD histogram < 0
• Strong bearish candle
• Price < VWAP
• EMA2400 > EMA600
• Within 25 bars of EMA crossover
• Max 2 short trades before VWAP resets
Exit Logic
• Stop Loss: 0.50%
• Take Profit: 3.75% (7.5R)
• Time Stop: 720 bars (~12 hours on 1m chart)
• Each trade exits independently
Testing Parameters
• Initial Capital: $10,000
• Commission: 0.10%
• Timeframe: 1-minute
• Tested on: BTCUSDT, ETHUSDT
• Pyramiding: Up to 5 positions allowed
• VWAP resets trade counter to reduce overtrading
Alerts
• Buy / Sell signal
• Trade Opened / Closed
• SL/TP triggered
⚠️ Notes
• Early-stage strategy — entry count varies by trend conditions
• Shared for educational use and community feedback
• Please forward-test before using live
• Open-source — contributions and suggestions welcome!
Disclaimer
This strategy is for educational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always validate independently before trading live.
RSI+BOLLINGER (LONG & SHORT)This indicator combines two of the most popular tools in technical analysis, the Relative Strength Index (RSI) and Bollinger Bands (BB), to generate both long (BUY) and short (SELL) trading signals.
Strategy:
Entries (Buy/Short): Entry signals are based on the RSI.
A BUY is suggested when the RSI crosses above an oversold level (default: 29), indicating a possible upward reversal.
A SHORT is suggested when the RSI crosses below an overbought level (default: 71), indicating a possible downward reversal.
Exits (Position Closure): Exit signals are based on Bollinger Bands.
A long position is closed when the price crosses below the upper Bollinger Band.
A short position is closed when the price crosses above the lower Bollinger Band.
Key Features:
Cascade Filter: Includes a smart filter that prevents opening new consecutive trades if the price hasn't moved significantly in favor of a new entry, optimizing signal quality.
Automation Alerts: Generates detailed alerts in JSON format for each event (buy, sell, close), designed for easy integration with trading bots and automated systems via webhooks.
Fully Configurable: All parameters of the RSI, Bollinger Bands, and strategy filters can be adjusted from the indicator’s settings menu.
[volfgang] wave.liteThe wave.lite indicator is a simplified version of my WAVE momentum tracker indicator, designed to help traders identify market trends by analysing price action across multiple timeframes. As a simplified version of my full WAVE script, it focuses on core momentum signals and confluence for the current timeframe only.
Quick Summary
The Lite WAVE features a signal line that alternates between Red (bearish) and Blue (bullish).
It turns Blue when the WAVE line crosses above the signal and holds for 1 bar.
It turns Red when the WAVE line crosses below the signal and holds for 1 bar.
Under The Hood
The Lite WAVE aggregates close, high, low, and EMA data over a set period to measure recent price extremes and midpoint deviations, emphasizing newer action. It calculates averages for high-to-high and low-to-low differences to derive the WAVE value, smoothed for trend determination.
This lite version omits advanced divergence, specialist info box, confluence scanner and signal features from the full WAVE, focusing on momentum tracking for simplicity. It's suitable for all markets and assets; always combine with other analysis—past performance doesn't guarantee future results.
MIGA Trader DNAMIGA Trader DNA is a composite indicator that integrates:
Trend Identification: Uses three exponential moving averages (fast, mid, slow) to determine market bias based on their order.
Momentum Filter: An adaptive RSI whose period automatically matches the fastest EMA highlights overbought or oversold conditions.
Entry Timing: A Stochastic %K crossover signals precise entry points when momentum aligns with trend direction.
Volatility Envelope: An optional, SuperTrend band adjusts dynamically to changing ATR-based volatility.
Visual Signals: Discrete “Buy” and “Sell” labels mark entry opportunities directly on the price chart when all conditions align.
***FALCON TRADER TAMIL STRATEGY V5 FOR INVITE ONLY***💎 FALCON TRADER TAMIL STRATEGY V5 GOLDEN STRATEGY INVITE ONLY SCRIPT 💎
🚀 Your Ultimate Smart Auto Trading Companion – Powered by MT5 Auto Connector + TradingView + Telegram Alerts
Welcome to the FALCON TRADER TAMIL STRATEGY V5 GOLDEN STRATEGY – An Elite invite-only indicator designed to give traders institution-level precision with smart automation, real-time signal intelligence, and full integration with MT5 auto trading systems and Telegram bots through PINE CONNECTOR. This system isn’t just a tool; it’s a complete trading ecosystem tailored for serious forex traders.
🔍 FEATURES BREAKDOWN & CLIENT GUIDE:
🔄 Exit Type: TP/SL Calculation Logic
TP/SL Type (Risk/Reward or Fixed)
Choose your risk exit logic: fixed SL/TP or dynamic based on risk-to-reward ratio, automatically calculated from your risk input and desired reward multiples.
🔐 Pine Connector Integration
License ID
Your unique trading license to securely activate MT5 auto trading via Pine Connector.
Risk (%) OR Lot Size
You have the flexibility to trade based on risk percentage of your account balance OR enter a fixed lot size.
Stop Loss (points)
This is your emergency defense level – set in raw points for high precision auto execution.
⚖️ Risk-Reward Customization
Lot Size
For fixed lot strategy: define the consistent position size you want per trade.
Risk:Reward for TP1/TP2/TP3
Smart tiered TP logic! Automatically calculates 3 profit targets using your risk value as base:
TP1 = 1R (Risk)
TP2 = 2R
TP3 = 3R
This provides scaling out flexibility to lock in gains as price moves.
🎨 Visual Signal Enhancements
Change Bar Color
Instantly spot bullish and bearish setups with customized bar coloring for BUY (🟩 Green) and SELL (🟥 Red).
🔧 SMART FILTERING & CONDITIONS
📊 Moving Averages Filter
Enable Fast > Slow MA Condition?
Only show trades when short-term momentum aligns with trend, i.e., fast MA above/below slow MA.
💪 RSI Filter
Enable RSI Filter?
Avoid overbought/oversold traps! This filter ensures signals only trigger in neutral or favorable RSI zones.
📉 VWAP Filter (Institutional Bias)
Enable VWAP Filter?
Eliminate trades going against major volume flows. VWAP acts as an institutional magnet – filter signals to only trade above VWAP (bullish) or below VWAP (bearish).
Anchor Period: Session/Daily/Weekly
Customize VWAP logic to align with your preferred time frame.
Source: Choose price base for VWAP, default to (H+L+C)/3.
📊 VWAP & Band Visualization
Bands Calculation Mode: Standard/Custom
For traders wanting to visualize volatility bands around VWAP.
Show VWAP Line / Show Band
Optional visual overlay to show VWAP guidance and deviation zones.
📈 Moving Average Display
Show Moving Average
Add a clean overlay of EMA/SMA lines for trend-following visual cues.
📏 ATR Filter (Volatility Control)
Enable ATR?
Avoid sideways markets – this filter ensures entries only occur when volatility (measured by ATR) exceeds a minimum threshold.
🧭 Range Comparison Filter
Enable Range Comparison?
Helps detect breakout potential by comparing current range to historical norms.
🧨 ADX Filter (Strength Detection)
Enable ADX?
Trade only during strong market trends. ADX ensures you're not stuck in choppy markets with false signals.
🔍 Clean Chart Controls
Inputs in status line
Enables real-time visibility of key parameters right on your chart for at-a-glance decision making.
📡 AUTOMATION ECOSYSTEM INTEGRATION
⚙️ MT5 Pine Connector: All entries, exits, and SL/TP levels are sent directly to MT5, eliminating manual trade execution through Pine Connector.
📨 Telegram Alerts: Clean, real-time alerts with direction (Buy/Sell), symbol, risk, SL/TP levels, and optional chart screenshot.
📊 Optimized for XAUUSD & Forex Pairs
💼 WHO IS THIS FOR?
✅ Traders using MT5 Auto Execution via Pine Connector
✅ Users wanting high-accuracy directional trades filtered by real logic
✅ Traders using prop firms or strict risk-based challenges
✅ Those who want multiple confirmation filters but with control over what to activate
✅ Traders needing smart risk-reward trade management
⚠️ IMPORTANT
This is an invite-only script. Usage is tied to your unique License ID, which powers all MT5/Telegram integrations. Sharing or unauthorized distribution will result in deactivation.
📩 WANT ACCESS?
Contact Us Telegram - to get your Access to Out Tool, and onboarding assistance.