LiquidityPulse RSI Candle Strength MomentumLiquidity-Pulse RSI Candle Strength Momentum is a multifunctional and original candle-analysis tool designed to highlight the potential internal strength of each candle using a combination of body size and volume.
To view the candle-strength scores clearly: right-click on the chart, go to Settings, and in the Symbol tab untick Body, Borders and Wicks.
Candle Strength Scores
The indicator calculates the average body size and average volume over a user-defined lookback period. Each candle is then compared to these averages, and the indicator combines relative body expansion and relative volume expansion with a square-root calculation to create a (normalised) candle-strength score from 1 to 10.
10 – exceptionally strong compared to the lookback average (large body size and volume)
1 – very weak compared to the lookback average (small body size and volume)
Bullish and bearish candles are evaluated independently, producing separate bull-strength and bear-strength scores.
Optional ATR and volume floors can be enabled to restrict strength scoring to candles that exceed a minimum volatility or participation threshold. This helps users who prefer to filter out low-impact candles during quiet market periods. This option can be enabled or adjusted in the settings but is turned off by default.
Candle Colours
This tool also shows candles coloured based on the candle-strength scores (10 colours in each theme), which makes it easier to visualise the scores and see whether the candle score was high or not. There are several options in the 'colour theme' dropdown menu in the settings. Users can also customise all colours manually.
RSI Candle Strength Arrows
The Relative Strength Index is a long-established momentum tool that calculates the ratio of average upward moves to average downward moves over a defined period, allowing traders to identify potential overbought and oversold market conditions where momentum may be stretched. As well as this, strong early momentum and participation are often associated with more sustained moves.
This indicator combines this methodology and provides optional arrows that appear only when candle strength and RSI conditions align:
– A candle meets or exceeds a chosen strength threshold
– RSI has recently reached an overbought or oversold level
– The candle direction matches the expected momentum shift
For example, if price has reached an oversold RSI level and a strong bullish candle forms (high candle-strength number), an upside arrow may plot.
Users can customise the RSI oversold and overbought thresholds, the minimum candle-strength threshold, and how many bars back the RSI condition must have occurred in the settings.
These arrows are not buy or sell signals but instead highlight rare moments where strong candle behaviour aligns with meaningful RSI extremes. This is useful to users because it allows the candle-strength logic to be applied only when momentum is genuinely stretched, filtering out noise and focusing attention on the most statistically significant market moves.
This indicator brings together a quantitative candle-strength model and a momentum-based RSI filter to give users a clearer view of how individual candles behave relative to their recent environment, while also highlighting when those movements occur during meaningful shifts in market momentum. By combining both forms of analysis, the tool helps traders distinguish ordinary price changes from potentially significant structural behaviour.
How traders can use this indicator
– Stronger candle scores in the trend direction can confirm continuation pressure.
– Powerful opposing candles appearing at RSI extremes may signal potential reversals or exhaustion points.
– If breakouts occur with high candle scores, price may be more likely to follow through.
– Weak candles with low scores help traders avoid false signals or low-quality setups.
– Candle-strength scoring helps users quickly interpret both volume and candle-body behaviour without manual analysis.
Open source, if anyone has any ideas on how to make the script better or have any questions please let me know :)
Disclaimer
This indicator is provided for educational and analytical purposes only and should not be interpreted as financial advice or a recommendation to buy or sell any asset. The candle-strength values displayed by this tool are not literal or definitive measures of market strength; they are derived from a custom mathematical model designed to highlight relative differences in candle behaviour. These values should be viewed as a simplified representation of candle dynamics, not as an objective or universal measure of strength.
Users should be aware that this calculation does not replace the importance of analysing real traded volume, order flow, liquidity conditions, or broader market context. As with any technical tool, results should be considered alongside other forms of analysis, and past performance does not guarantee future outcomes. Use at your own discretion and risk.
震盪指標
Multi Condition Stock Screener & Alert SystemMulti Condition Stock Screener & Strategy Builder
This script is a comprehensive Stock Screener and Strategy Builder designed to scan predefined groups of stocks (specifically focused on BIST/Istanbul Stock Exchange symbols) or a custom list of symbols based on user-defined technical conditions.
It allows users to combine multiple technical indicators to create complex entry or exit conditions without writing code. The script iterates through a list of symbols and triggers alerts when the conditions are met.
Key Features
• Custom Strategy Building: Users can define up to 6 separate conditions. • Logical Operators: Conditions can be linked using logical operators (AND / OR) to create flexible strategies. • Predefined Groups: Includes 14 groups of stocks (covering BIST symbols) for quick scanning. • Custom Scanner: Users can select the "SPECIAL" group to manually input up to 40 custom symbols to scan. • Directional Scanning: Capable of scanning for both Buy/Long and Sell/Short signals. • Alert Integration: Generates JSON-formatted alert messages suitable for webhook integrations (e.g., sending notifications to Telegram bots).
Supported Indicators for Conditions
The script utilizes built-in ta.* functions to calculate the following indicators:
• MA (Moving Average): Supports EMA, SMA, RMA, and WMA. • RSI (Relative Strength Index) • CCI (Commodity Channel Index) • ATR (Average True Range) • BBW (Bollinger Bands Width) • ADX (Average Directional Index) • MFI (Money Flow Index) • MOM (Momentum)
How it Works
The script uses request.security() to fetch data for the selected group of symbols based on the current timeframe. It evaluates the user-defined logic (Condition 1 to 6) for each symbol.
• Comparison Logic: You can compare an indicator against a value (e.g., RSI > 50 ) or against another indicator (e.g., MA1 CrossOver MA2 ). • Signal Generation: If the logical result is TRUE based on the "AND/OR" settings, a visual label is plotted on the chart, and an alert condition is triggered.
Alert Configuration
The script produces a JSON output containing the Ticker, Signal Type, Period, and Price. This is optimized for users who want to parse alerts programmatically or send them to external messaging apps via webhooks.
Disclaimer This tool is for informational purposes only and does not constitute financial advice. Since it uses request.security across multiple symbols, please allow time for the script to load data on the chart.
RSI + Psy + ADXRSI + Psychological Line + ADX (with RCI-replacement logic)
This custom TradingView indicator combines three major technical analysis tools—RSI, Psychological Line (Psy), and ADX—to help traders identify trend strength, market momentum, and overbought/oversold conditions with improved clarity.
1. Multi-Period RSI
The indicator calculates three RSI values:
Short-term RSI (9)
Mid-term RSI (26)
Long-term RSI (52)
These help users observe short-, mid-, and long-term momentum simultaneously.
Threshold lines are drawn at 70, 50, and 30 for standard RSI overbought/oversold analysis.
2. Psychological Line (Psy) with Dynamic Column Display
The Psy indicator counts how many closes within the selected period (default: 12) were higher than the previous close.
Values above 75 indicate overbought markets.
Values below 25 indicate oversold markets.
When Psy crosses these thresholds, it is displayed as a column chart centered at 50, visually expanding upward (overbought) or downward (oversold).
3. ADX Trend Strength with Color Coding
ADX is calculated from DI+ and DI− values (using true range and directional movement).
The ADX line changes color based on trend strength:
Blue: Weak trend (below 20)
Yellow: Moderate trend (20–30)
Red: Strong trend (above 30)
This helps traders easily recognize when the market transitions from low-volatility to strong-trend conditions.
Adaptive MACD PROAdaptive MACD PRO
Highlights structural momentum changes using dynamic normalization of MACD and Signal.
Phase Momentum Core
Adds directional confirmation based on short-term phase behavior.
Visual Output
• MACD & Signal lines with trend-based coloring
• Adaptive histogram reflecting momentum strength
• Fixed-position Buy/Sell dots at predefined levels
• AutoCalib dots on MACD_z threshold crossings
• Optional HUD panel displaying calibration levels and MACD_z
Features
• Selectable MA types (EMA, SMA, KAMA)
• Z-score normalization
• ATR-based volatility weighting
• Higher timeframe alignment
• Auto-calibration with SAFE / AGGRESSIVE modes
• Unified long/short triggers
• Full bar-coloring control
• Works on all assets and timeframes
The full source code is visible and may be modified or extended.
This script is intended for technical analysis and research only.
This indicator is published as a free, open-source script with full visible code.
Physics Visualizer [RSI + Vol] bars ( educational Purpose only )This code is a TradingView Pine Script (Version 6) for a custom indicator named "Physics Visualizer ".
Here is a breakdown of what it does:
1. What It Is: It is a visual tool designed to show you the relationship between Price Momentum (RSI) and Volume (Fuel) in a single, easy-to-read panel. It tries to answer the question: "Is this price move supported by real volume, or is it fake?"
2. How It Works (The "Physics"): It calculates the "Slope" (direction) of both the RSI and Volume over a short period (3 bars).
Explosion (Lime Green): RSI is going UP + Volume is going UP. This is a strong, healthy move.
Fakeout (Orange): RSI is going UP (Price rising) + Volume is going DOWN. This warns of a weak move that might reverse.
Churn (Maroon): RSI is going DOWN (Price falling) + Volume is going UP. This suggests heavy selling or absorption (fighting).
3. Visuals: It draws a "Bar in Bar" chart:
Background (Gray Bar): Represents the Volume (scaled 0-100). Wide and transparent.
Foreground (Colored Stick): Represents the RSI (Momentum). Thin and colored based on the "Physics State" (Green/Orange/Maroon).
Can we use it as a confirmation? Yes. This is an excellent confirmation tool.
Rule: Only take a Buy signal from your main strategy if this indicator shows a Lime Green (Explosion) bar,
1M XAU Cumulative Delta Volume with OB Breakouts
### Overview
This is a **session-based CVD strategy** built around the **00:00–07:00 CEST range**. It finds the high/low of that session, turns them into **adaptive ATR-based support (yellow)** and **resistance (purple)** zones, and trades only **CVD-confirmed reversals** off those levels.
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### How it Works
* For each day, the script:
* Builds a 00:00–07:00 CEST **profile high/low**.
* Creates a **support zone** around the session low and a **resistance zone** around the session high.
* Using lower timeframe data, it reconstructs **Cumulative Volume Delta (CVD)** and a **recent delta** filter.
* It arms “pending” states when price **enters a zone from the correct side**, then confirms:
* **BUY (long):** price reclaims above support and recent CVD is strongly positive.
* **SELL (short):** price rejects below resistance and recent CVD is strongly negative.
Only these two CVD signals (`buySignal` / `sellSignal`) open trades.
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### Strategy Logic
* **Entries**
* `buySignal` → open **long** (if flat).
* `sellSignal` → open **short** (if flat).
* No pyramiding; one position at a time.
* **Exits (only TP & SL)**
* Long: TP at `avg_price * (0.5 + TP%)`, SL at `avg_price * (1 – SL%)`.
* Short: TP at `avg_price * (0.5 – TP%)`, SL at `avg_price * (1 + SL%)`.
* No opposite-signal exits.
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### Extras
* **Reversal markers** on yellow/purple zones and **breakout/retest markers** are plotted for context and alerts but **do not trigger entries**.
* Zone width and “thickening” are ATR-based so important touches and near-touches are easy to see.
* Only suited for **1m intraday scalping** (e.g. XAU/USD), but can be tested on other markets/timeframes.
RSI Strategy [PrimeAutomation]⯁ OVERVIEW
The RSI Strategy is a momentum-driven trading system built around the behavior of the Relative Strength Index (RSI).
Instead of using traditional overbought/oversold zones, this strategy focuses on RSI breakouts with volatility-based trailing stops, adaptive profit-targets, and optional early-exit logic.
It is designed to capture strong continuation moves after momentum shifts while protecting trades using ATR-based dynamic risk management.
⯁ CONCEPTS
RSI Breakout Momentum: Entries happen when RSI breaks above/below custom thresholds, signaling a shift in momentum rather than mean reversion.
Volatility-Adjusted Risk: ATR defines both stop-loss and profit-target distances, scaling positions based on market volatility.
Dynamic Trailing Stop: The strategy maintains an adaptive trailing level that tightens as price moves in the trade’s favor.
Single-Position System: Only one trade at a time (no pyramiding), maximizing clarity and simplifying execution.
⯁ KEY FEATURES
RSI Signal Engine
• Long when RSI crosses above Upper threshold
• Short when RSI crosses below Lower threshold
These levels are configurable and optimized for trend-momentum detection.
ATR-Based Stop-Loss
A custom ATR multiplier defines the initial stop.
• Long stop = price – ATR × multiplier
• Short stop = price + ATR × multiplier
Stops adjust continuously using a trailing model.
ATR-Based Take Profit (Optional)
Profit targets scale with volatility.
• Long TP = entry + ATR × TP-multiplier
• Short TP = entry – ATR × TP-multiplier
Users can disable TP and rely solely on trailing stops.
Real-Time Trailing Logic
The stop updates bar-by-bar:
• In a long trade → stop moves upward only
• In a short trade → stop moves downward only
This keeps the stop tight as trends develop.
Early Exit Module (Optional)
After X bars in a trade, opposite RSI signals trigger exit.
This reduces holding time during weak follow-through phases.
Full Visual Layer
• RSI plotted with threshold fills
• Entry/TP/Stop visual lines
• Color-coded zones for clarity
⯁ HOW TO USE
Look for RSI Breakouts:
Focus on RSI crossing above the upper boundary (long) or below the lower boundary (short). These moments identify fresh momentum surges.
Use ATR Levels to Manage Risk:
Because stops and targets scale with volatility, the strategy adapts well to both quiet and explosive market phases.
Monitor Trailing Stops for Trend Continuation:
The trailing stop is the primary driver of exits—often outperforming fixed targets by catching larger runs.
Use on Liquid Markets & Mid-Higher Timeframes:
The system performs best where RSI and ATR signals are clean—crypto majors, FX, and indices.
⯁ CONCLUSION
The RSI Strategy is a modern RSI breakout system enhanced with volatility-adaptive risk management and flexible exit logic. It is designed for traders who prefer momentum confirmation over mean reversion, offering a disciplined framework with robust protections and dynamic trend-following capability.
Its blend of ATR-based stops, optional profit targets, and RSI-driven entries makes it a reliable strategy across a wide range of market conditions.
Global Macro IndexGlobal Macro Index
The Global Macro Index is a comprehensive economic sentiment indicator that aggregates 23 real-time macroeconomic data points from the world's largest economies (US, EU, China, Japan, Taiwan). It provides a single normalized score that reflects the overall health and momentum of the global economy, helping traders identify macro trends that drive asset prices.
⚠️ Important: Timeframe Settings
This indicator is designed exclusively for the 1W (weekly) timeframe. The indicator is hardcoded to pull weekly data and will not function correctly on other timeframes.
What It Measures
The indicator tracks normalized Trend Power Index (TPI) values across multiple economic categories:
United States (7 components)
Business Confidence Index (BCOI) - Business sentiment and outlook
Composite Leading Indicator (CLI) - Forward-looking economic indicators
Consumer Confidence Index (CCI) - Consumer sentiment and spending intentions
Terms of Trade (TOT) - Import/export price relationships
Manufacturing Composite - Combines business confidence, production, and new orders
Comprehensive Economic Composite - Broad aggregation including employment, business activity, and regional indicators
Business Inventory (BI) - Stock levels and supply chain health
European Union (10 components)
Sentiment Survey (SS) - Overall economic sentiment
Business Confidence Index - EU business outlook
Economic Sentiment Indicator (ESI) - Combined confidence metrics
Manufacturing Production (MPRYY) - Industrial output year-over-year
New Orders - Germany, France, Netherlands, Spain manufacturing orders
Composite Leading Indicators - Germany, France forward-looking metrics
Business Climate Index (BCLI) - France business conditions
Asia (6 components)
New Orders - China, Japan, Taiwan manufacturing demand
Composite Leading Indicators - China, Japan economic momentum
The Formula
The indicator calculates a weighted average of normalized TPI scores:
Global Macro Index = (1/23) × Σ
Each of the 23 economic indicators is:
Converted to a Trend Power Index (TPI) using 4-day Bitcoin normalization
Weighted equally (1/23 ≈ 4.35% each)
Summed and smoothed with a 1-period SMA
The result is a single oscillator that ranges typically between -1 and +1, with extreme readings beyond ±0.6.
Z-Score Signal System
The indicator includes an optional Z-Score overlay that identifies extreme macro conditions:
Calculation:
Z-Score = (Current Value - 50-period Mean) / Standard Deviation
Smoothed with 35-period Hull Moving Average
Inverted for intuitive interpretation
Signals:
Green background (Z-Score ≥ 2) = Extremely positive macro conditions, potential overbought
Red background (Z-Score ≤ -2) = Extremely negative macro conditions, potential oversold
These extreme readings occur approximately 5% of the time statistically
How to Use It
Interpreting the Main Plot (Red Line):
Above 0 = Positive macro momentum, risk-on environment
Below 0 = Negative macro momentum, risk-off environment
Above +0.6 = Strong expansion, bullish for equities and crypto
Below -0.6 = Severe contraction, bearish conditions
Trend direction = More important than absolute level
Z-Score Signals:
Z ≥ 2 (Green) = Macro sentiment extremely positive, consider taking profits or preparing for pullback
Z ≤ -2 (Red) = Macro sentiment extremely negative, potential buying opportunity for contrarians
Works best as a regime filter, not precise timing tool
Best Practices:
Use as a macro regime filter for other strategies
Combines well with liquidity indicators and price action
Leading indicator for risk assets (equities, Bitcoin, emerging markets)
Lagging indicator - confirms macro trends rather than predicting reversals
Watch for divergences: price making new highs while macro weakens (bearish) or vice versa (bullish)
Settings
Show Zscore Signals: Toggle green/red background shading for extreme readings
Overlay Zscore Signals: Display Z-Score signals on the price chart as well as the indicator panel
Reference Lines
0 (gray) = Neutral macro conditions
+0.6 (green) = Strong positive threshold
-0.6 (red) = Strong negative threshold
Data Sources
Real-time economic data from TradingView's ECONOMICS database, including:
OECD leading indicators
Manufacturing PMIs and new orders
Consumer and business confidence surveys
Trade and inventory metrics
Regional economic sentiment indices
Notes
This is a macro trend indicator, not a day-trading tool. Economic data updates weekly and reflects the aggregate health of global growth. Best used on weekly timeframes to identify favorable or unfavorable macro regimes for risk asset allocation.
The indicator distills complex global economic data into a single actionable score, answering: "Is the global economy expanding or contracting right now?"
RSI UpDown [DivineTrade]This indicator displays the RSI values across multiple timeframes in real time. It provides a compact panel showing RSI readings for 1W, 1D, 4H, 1H, 15M, 5M and 1M, updating continuously as new price data arrives. Each value is color-coded based on market conditions: strong overbought levels, moderate overbought zones, neutral ranges and oversold areas. This allows traders to quickly assess multi-timeframe momentum and identify alignment or divergence across different market horizons.
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator
The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets.
Key Features
Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles
Z-Score Normalization: Standardizes diverse data sources for meaningful comparison
Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics
Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance
21-Day Timeframe: Optimized for Long-term cycle analysis
What It Measures
Finance-Cycle (White Line)
Tracks traditional financial market health through:
Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU)
Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price
Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions
Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency)
Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates
Bitcoin-Cycle (Orange Line)
Tracks Bitcoin market positioning through:
On-Chain Metrics:
MVRV Ratio (Market Value to Realized Value)
NUPL (Net Unrealized Profit/Loss)
Profit/Loss Address Distribution
Technical Indicators:
Bitcoin price Z-score
Moving average deviation
Relative Strength:
ETH/BTC ratio (altcoin strength indicator)
Visual Elements
White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary)
Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish)
Zero Line: Neutral reference point
Interpretation
Cycle Alignment
Both positive: Risk-on environment, favorable for crypto
Both negative: Risk-off environment, caution warranted
Divergence: Potential opportunities or warning signals
Divergence Signals
Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions
Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance
Important Limitations
This indicator uses some technical and macro data but still has significant gaps:
⚠️ Limited monetary data - missing:
Funding rates (repo, overnight markets)
Comprehensive bond spread analysis
Collateral velocity and quality metrics
Central bank balance sheet details
⚠️ Basic economic coverage - missing:
GDP growth rates
Inflation expectations
Employment data
Manufacturing indices
Consumer confidence
⚠️ Simplified on-chain analysis - missing:
Exchange flow data
Whale wallet movements
Mining difficulty adjustments
Hash rate trends
Network fee dynamics
⚠️ No sentiment data - missing:
Fear & Greed Index
Options positioning
Futures open interest
Social media sentiment
The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management.
Settings
Offset: Adjust the horizontal positioning of the indicators (default: 0)
Timeframe: Fixed at 21 days for optimal cycle detection
Use Cases
Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets
Cycle timing: Identify potential tops and bottoms in both cycles
Risk assessment: Gauge overall market conditions across asset classes
Divergence trading: Spot opportunities when cycles diverge significantly
Portfolio allocation: Balance traditional and crypto assets based on cycle positioning
Technical Notes
Uses Z-score normalization with varying lookback periods (40-60 bars)
Applies HMA (Hull Moving Average) smoothing to reduce noise
Asymmetric multipliers for upside/downside movements in certain metrics
Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds
21-day timeframe optimized for cycle analysis
Strategy Applications
This indicator is particularly useful for:
Cross-asset allocation - Decide between traditional finance and crypto exposure
Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles
Regime changes - Detect shifts in market leadership and correlation patterns
Risk management - Reduce exposure when both cycles turn negative
Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
Smart RSI Composite [DotGain]Summary
Do you want to know the "True Direction" of the market without getting distracted by noise on a single timeframe?
The Smart RSI Composite simplifies market analysis by aggregating momentum data from 10 different timeframes (5m to 12M) into a single, easy-to-read Histogram.
Instead of looking at 10 separate charts or dots, this indicator calculates the Average RSI of the entire market structure. It answers one simple question: "Is the market predominantly Bullish or Bearish right now?"
⚙️ Core Components and Logic
This indicator works like a consensus mechanism for momentum:
Data Aggregation: It pulls RSI values from 10 customizable slots (Default: 5m, 15m, 1h, 4h, 1D, 1W, 1M, 3M, 6M, 12M). All slots are enabled by default.
Smart Averaging: It calculates the arithmetic mean of all active timeframes. If the 5m chart is bearish but the Monthly chart is bullish, this indicator balances them out to show you the net result.
Histogram Visualization: The result is plotted as a histogram centered around the 50-line (Neutral).
🚦 How to Read the Histogram
The histogram bars indicate the aggregate strength of the trend based on the Average RSI:
🟩 DARK GREEN (Strong Bullish)
Condition: Average RSI > 60.
Meaning: The market is in a strong uptrend across most timeframes. Momentum is firmly on the buyers' side.
🟢 LIGHT GREEN (Weak Bullish)
Condition: Average RSI between 50 and 60.
Meaning: Slight bullish bias. The bulls are in control, but momentum is not yet extreme.
🔴 LIGHT RED (Weak Bearish)
Condition: Average RSI between 40 and 50.
Meaning: Slight bearish bias. The bears are taking control.
🟥 DARK RED (Strong Bearish)
Condition: Average RSI < 40.
Meaning: The market is in a strong downtrend across most timeframes. Momentum is firmly on the sellers' side.
Visual Elements
Center Line (50): This acts as the Zero-Line. Above 50 is bullish, below 50 is bearish.
Zone Lines (30/70): Dashed lines indicate the traditional Overbought/Oversold levels applied to the aggregate average.
Key Benefit
The Smart RSI Composite acts as a powerful Macro Trend Filter .
Pro Tip: Never go long if the Histogram is Dark Red, and avoid shorting when it is Dark Green. Use this tool to align your trades with the overall market momentum.
Have fun :)
Disclaimer
This "Smart RSI Composite" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Smart RSI MTF Matrix [DotGain]Summary
Are you tired of trading trend signals, only to miss the bigger picture because you are focused on a single timeframe?
The Smart RSI MTF Matrix is the ultimate "Cockpit View" for momentum traders. Unlike chart overlays that can sometimes clutter your price action, this indicator organizes RSI conditions across 10 different timeframes simultaneously into a clean, separate Heatmap pane.
It monitors everything from the 5-minute chart all the way up to the 12-Month view , giving you a complete X-ray vision of the market's momentum structure instantly.
⚙️ Core Components and Logic
The Smart RSI MTF Matrix relies on a sophisticated hierarchy to deliver clear, actionable context:
Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background, organized in rows from bottom (Short Term) to top (Long Term).
Classic RSI Thresholds:
Overbought (> 70): Indicates price may be extended to the upside.
Oversold (< 30): Indicates price may be extended to the downside.
Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute signal is "noise" compared to a Yearly signal. This indicator automatically applies Transparency to differentiate importance. The visibility increases by 10% for each higher timeframe slot (Row).
🚦 How to Read the Matrix
The indicator plots dots in 10 stacked rows. The position and opacity tell you the direction and significance:
🟥 RED DOTS (Overbought Condition)
Trigger: RSI is above 70 on that specific timeframe.
Meaning: Potential bearish reversal or pullback.
🟩 GREEN DOTS (Oversold Condition)
Trigger: RSI is below 30 on that specific timeframe.
Meaning: Potential bullish reversal or bounce.
⚪ GRAY DOTS (Neutral)
Trigger: RSI is between 30 and 70.
Meaning: No extreme momentum present.
👻 TRANSPARENCY (Signal Strength)
The visibility of the dot tells you exactly which Timeframe (Row) is triggered. The higher the row, the more solid the color:
Faint (10-30% Visibility): Rows 1-3 (5m, 15m, 1h). Used for scalping entries.
Medium (40-60% Visibility): Rows 4-6 (4h, 1D, 1W). Used for swing trading context.
Solid (70-100% Visibility): Rows 7-10 (1M, 3M, 6M, 12M). Used for identifying major macro cycles.
Visual Elements
Structure: Row 1 (Bottom) represents the 5-minute timeframe. Row 10 (Top) represents the 12-Month timeframe.
Vertical Alignment: If you see a vertical column of Red or Green dots, it indicates Multi-Timeframe Confluence —a highly probable reversal point.
Key Benefit
The goal of the Smart RSI MTF Matrix is to keep your main chart clean while providing maximum information. You can instantly see if a short-term pullback (Faint Green Dot) is happening within a long-term uptrend (Solid Gray/Red Dot), allowing for precision entries.
Have fun :)
Disclaimer
This "Smart RSI MTF Matrix" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
[CT] Kurutoga MTF HistogramWhat is Kurutoga MTF Histogram?
The Kurutoga MTF Histogram is a multi-time-frame momentum and mean-deviation tool.
It measures how far the current close is trading away from a rolling midpoint of price and then displays that deviation as a color-coded histogram.
Instead of looking only at one lookback, this version plots three Kurutoga “leads” at the same time:
Kurutoga Lead (x1) – base length
Kurutoga Lead 2x – slower, 2 × base length
Kurutoga Lead 4x – slowest, 4 × base length
Each lead is calculated both on the chart’s timeframe (LTF) and on a Higher Time Frame (HTF) of your choice, so you can see short-term deviation inside a higher-time-frame structure.
4-color Kurutoga scheme
Each Kurutoga lead uses a 4-color MACD-style scheme:
For a given lead:
Up Light – divergence ≥ 0 and rising compared to the previous bar
Up Dark – divergence ≥ 0 and falling (positive but losing momentum)
Down Light – divergence < 0 and falling (bearish momentum increasing)
Down Dark – divergence < 0 and rising (negative but contracting)
By default the same four teal / red hues are shared across x1, x2, and x4. The only difference between the leads is transparency:
x1 = strongest (least transparent)
x2 = medium opacity
x4 = faintest
This lets you see all three layers at once without the chart becoming a solid block of color.
The HTF areas use the same palette but with an extra transparency offset applied, so they appear as soft background bands rather than competing with the histograms.
Inputs and how to use them
1. Base Length
Defines the lookback for the main Kurutoga Lead.
The script automatically creates:
len1 = baseLength
len2 = baseLength × 2
len3 = baseLength × 4
Smaller base lengths → faster, more reactive histograms.
Larger base lengths → smoother, trend-focused behavior.
2. Higher Time Frame
This is the HTF used for the area plots and HTF midpoints.
Examples:
5-minute chart with HTF = 30 or 60 minutes
15-minute chart with HTF = 4H or 1D
The idea is to trade on the lower timeframe while seeing how far price is stretched relative to a higher-time-frame range midpoint.
3. Show / Hide toggles
Under “Show / Hide” you can independently turn on/off:
Kurutoga Lead (x1)
Kurutoga Lead 2x
Kurutoga Lead 4x
HTF Lead, HTF Lead 2x, HTF Lead 4x
This lets you:
Run only a single Kurutoga if you want a clean panel, or
Stack multiple leads for a “multi-speed” view of extension and mean reversion.
4. Color Scheme (4-color Kurutoga)
Up Light / Up Dark / Down Light / Down Dark – base hues used for every lead.
Lead opacity (x1, 2x, 4x) – sets how strong or faint each lead appears.
x1 is usually your primary “trading speed.”
x2 and x4 can be faded so they act as context.
Extra transparency for HTF areas – additional opacity applied on top of each lead’s opacity when drawing HTF areas. This keeps the HTF layer subtle.
You can fine-tune the exact teal/red values here to match your personal palette.
Practical reading & trade ideas
Trend alignment
When all three Kurutoga leads (x1, 2x, 4x) are above zero, price is trading above its rolling mid-range on multiple speeds → bullish environment.
When all three are below zero, you have a multi-speed bearish environment.
Mixed readings (e.g., x1 above zero, x4 below zero) can signal transition or mean-reversion areas.
Momentum vs exhaustion
Up Light / Down Light (light colors) show momentum expanding in that direction.
Up Dark / Down Dark (dark colors) show momentum contracting – price still on that side of zero, but the push is weakening.
After a run of Up Light bars, a shift to Up Dark may hint at a stall or pullback.
After a run of Down Light bars, a shift to Down Dark may hint at short covering / bounce potential.
Multi-time-frame confluence
Use the HTF areas as a backdrop:
If LTF Kurutoga leads are above zero while the HTF area is also positive (and ideally expanding), that’s strong bullish alignment.
If LTF leads are trying to flip up while HTF divergence is still deeply negative, you may be looking at a counter-trend bounce rather than a true trend change.
Example setups
Trend-following entries:
Look for x2 & x4 leads on the same side of zero as the HTF area, then use x1 color shifts (from Down Dark → Up Light or vice versa) to fine-tune entries in the direction of that higher-time-frame bias.
Mean-reversion fades:
Watch for extreme Kurutoga values where x1/x2 are strongly extended beyond zero while color flips from Light to Dark (momentum stalling) against an opposing HTF backdrop .
Notes
The indicator is non-directional by itself – it measures distance from a rolling midpoint rather than trend structure or order flow. It works best when combined with your existing price action/trend tools (moving averages, HLBO, structure zones, etc.).
Because HTF values are brought down via request.security, choose HTF settings that make sense for your product and session (for example, don’t use very high HTFs on thin intraday markets).
Use the Kurutoga MTF Histogram as a visual scanner for extension, momentum regime, and multi-speed alignment, then layer your own entry/exit rules on top.
Predictive Analysis Engine — Adaptive MACD Forecasting with R² SProfessional and Rule-Compliant Description (Ready for Publishing)
This description explains every component of the script in detail, highlights its originality, and provides traders with clear usage instructions — exactly what TradingView expects.
Predictive Analysis Engine (PAE)
This script is a predictive analysis model that combines trend filtering, linear forecasting, stability analysis (R²), and outlier filtering using ATR to produce an advanced, leading-style version of MACD rather than a traditional lagging one.
The indicator does not rely on random elements; it is built on four core components that work together:
1. Stability Measurement Using R²
The coefficient of determination (R²) is calculated based on the correlation between price and time, then normalized to a 0–1 scale.
A higher R² indicates more stable price movement, allowing the script to increase forecast accuracy.
Here, R² acts as a primary component of the Confidence Filter.
2. Forecasted Price Using Linear Regression
Instead of relying solely on the current price, the script uses:
Linear Regression
Weighted blending between the forecasted price and actual price
This enables the script to build a Leading MACD based on an “advanced” price that anticipates probable movement.
3. Advanced MACD With Adaptive Smoothing
MACD is applied to the blended (real + forecasted) price using:
Fast EMA
Slow EMA
MACD base
Optional TEMA for reducing signal lag
Adjustable histogram smoothing
This process makes MACD more responsive with significantly less lag, reacting faster to predicted movements.
4. Predictive MACD (Projected MACD)
Linear Regression is applied again — but this time to:
MACD
Signal
Histogram
to generate projected versions of each line (proj_macd, proj_signal), while proj_hist is used to produce early signals before the actual crossover occurs.
5. Volatility Filtering Using ATR & Volatility Ratio
ATR is used to evaluate:
Strength of movement
Overextension levels
Signal quality
ATR is combined with R² to compute:
Confidence = R² × Volatility Ratio
This suppresses weak signals and boosts high-quality, reliable ones.
6. Predictive Signals + Safety Filters
A signal is triggered when:
proj_hist crosses the 0 level
Confidence exceeds the required threshold
The real histogram is not excessively stretched (extra safety)
The script includes:
BUY / SELL
BUY_STRONG / SELL_STRONG
based on the smoothed histogram trend.
7. Coloring, Background & Visual Enhancements
The script colors:
The histogram
Chart background
Signal lines
to clearly highlight momentum direction and confidence conditions.
8. Built-In Alerts
The script provides ready-to-use alerts:
BUY Alert
SELL Alert
Both based on the predictive MACD model.
How to Use the Script
Add it to any timeframe and any market.
BUY/SELL signals are generated from the projected histogram crossover.
Higher Confidence = stronger signal.
Background colors help visualize trend transitions instantly.
Recommended to combine with support/resistance or price action.
Indicator Objective
This script is designed to deliver early insight into momentum shifts using a blend of:
Linear forecasting
Trend stability via R²
Signal quality filtering via ATR
A fast and adaptive advanced MACD
Smart RSI MTF [DotGain]Summary
Are you tired of constantly switching between timeframes to check the RSI, only to miss the bigger picture?
The Smart RSI MTF (Multi-Timeframe) is designed to solve this exact problem. It is a streamlined chart overlay that monitors RSI conditions across up to 10 different timeframes simultaneously —from the 1-minute chart all the way up to the Monthly view.
This indicator removes the need for multiple open tabs and declutters your analysis by plotting signals directly on your main chart using a smart "visual hierarchy" system based on transparency.
⚙️ Core Components and Logic
The Smart RSI MTF relies on a sophisticated 3-layer logic to deliver clear, actionable context:
Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background. It checks standard intervals (5m, 15m, 1h, 4h, Daily, Weekly, Monthly) to ensure you never miss a momentum extreme on any scale.
Classic RSI Thresholds:
Overbought (> 70): Indicates price may be extended to the upside.
Oversold (< 30): Indicates price may be extended to the downside.
Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute Overbought signal is "noise" compared to a Weekly Overbought signal. This indicator automatically applies Transparency to differentiate importance:
Minutes = High Transparency (Faint).
Hours = Medium Transparency.
Days/Weeks/Months = No Transparency (Solid/Bold).
🚦 How to Read the Indicator
The indicator plots shapes (Labels by default) directly above or below the candles. The appearance tells you the direction and the timeframe significance:
🟥 RED SIGNALS (Overbought Condition)
Trigger: RSI is above 70 on a specific timeframe.
Location: Placed above the candle bar.
Meaning: Potential bearish reversal or pullback.
🟩 GREEN SIGNALS (Oversold Condition)
Trigger: RSI is below 30 on a specific timeframe.
Location: Placed below the candle bar.
Meaning: Potential bullish reversal or bounce.
👻 TRANSPARENCY (Signal Strength)
Faint/Ghostly: The signal comes from a lower timeframe (e.g., 5m, 15m). Use for scalping or entry timing.
Solid/Bright: The signal comes from a major timeframe (e.g., Daily, Weekly). Use for swing trading and identifying major market turns.
Visual Elements
Symbol Shapes: Fully customizable (Label, Diamond, Circle, Triangle, etc.) via settings.
Stacking: If multiple timeframes trigger at once, symbols will overlay, creating a visually denser and darker color, indicating Confluence .
Key Benefit
The goal of the Smart RSI MTF is to help traders instantly spot Confluence . When you see a faint short-term signal align with a solid long-term signal, you have identified a high-probability reversal zone without leaving your chart.
Have fun :)
Disclaimer
This "Smart RSI MTF" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
QCO - "Science" Based OSC This indicator, called QCO - Quantum Confluence OSC, combines three different types of information into one oscillator: trend, momentum, and volume-based order flow. It is designed to show when these three elements line up in the same direction.
Here is how it actually works, step by step, in simple terms.
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First, it calculates three separate components:
1. Trend component
It uses an 8-period and a 21-period exponential moving average. When the fast EMA is above the slow one, the trend is considered up, and vice versa. It then measures how far apart the two EMAs are compared to the current volatility (ATR). This distance is turned into a number between -1 and +1.
2. RSI component
It takes the standard 14-period RSI, subtracts 50, and divides by 30 so the result also moves roughly between -1 and +1. This keeps RSI on the same scale as the other two parts instead of letting it dominate just because it can reach 0-100.
3. Cumulative Volume Delta (CVD) component
On every green candle it adds the volume, on every red candle it subtracts the volume, and keeps a running total. This running total is then normalized (turned into a z-score) over the last 100 bars on the current timeframe. If the MTF option is enabled, it also pulls normalized CVD from the 5-minute and 15-minute charts and mixes them in with lower weights (60% current, 30% 5-min, 10% 15-min). The final CVD value is again clamped between -1 and +1.
These three numbers are multiplied by fixed weights (normally 35% trend, 35% RSI, 30% CVD) and added together to create one combined raw score. A short 3-period EMA smooths this raw score slightly so the line is readable.
The weights can shift a little if the regime filter is turned on: in very volatile periods it gives more weight to trend and less to CVD; in very quiet periods it gives a bit more weight to RSI.
A separate check called “resonance” looks at whether at least two of the three components have the same sign. If all three agree strongly, resonance is marked as high and the background gets a gold tint.
Divergence protection (optional) looks back 10 bars: if price makes a higher high but the 1-minute CVD is weaker than its previous peak, sell signals are blocked. The same idea works in reverse for bullish divergence on lows.
Signals appear only when:
- The smoothed score is beyond the user-set threshold (default 1.0, adjustable)
- The basic trend (8/21 EMA) agrees with the direction
- RSI is not already overbought for buys or oversold for sells
- Divergence protection (if enabled) does not block the signal
Strong signals (gold triangles) require high resonance. Regular signals (green/red triangles) fire even with lower agreement.
The oscillator itself plots between roughly -1.5 and +1.5, with zero as the center line. A small table in the corner shows the current state of trend, RSI level, CVD direction, total score, active signal, and resonance level.
That is the complete mechanism. It does not repaint, uses only past and current data, and works on any timeframe or asset that has volume.
What actually makes this oscillator different from the thousands of others on TradingView comes down to a few practical choices that most scripts ignore:
- It forces real confluence. Most oscillators only look at one thing (price or momentum). This one requires trend, momentum, and order-flow-based volume to point the same way before it gives a strong signal. Weak or conflicting readings produce no gold signal or no signal at all.
- It uses properly normalized inputs. Trend strength, RSI, and CVD are all forced onto the same -1 to +1 scale using statistically sound methods (ATR for trend, fixed division for RSI, z-score for CVD). This means none of the three can bully the final score just because it naturally swings wider.
- It brings in higher-timeframe order flow without repainting. Pulling normalized 5-minute and 15-minute CVD into a 1-minute chart is rare in public scripts and usually done wrong. Here it is coded cleanly with request.security and blended with sensible weights.
- It adapts the weighting to the market regime. In choppy, low-volatility ranges it leans more on RSI; in fast trending or high-volatility moves it leans more on trend and less on short-term CVD noise. Very few free indicators do this automatically.
- It has working hidden divergence protection on the CVD, not just regular price/RSI divergence. Since CVD reflects actual buying and selling pressure, this filter catches a lot of traps that normal divergence detectors miss.
- Resonance filter is simple but powerful: it literally counts how many of the three components agree. This single extra condition turns a decent oscillator into one that only screams when the probability is genuinely higher.
- The final line is lightly smoothed (3-period EMA on the combined score), so it moves fast enough for scalping but does not jump on every tick like most raw oscillators.
Because of these points, the signal-to-noise ratio is noticeably higher than a plain RSI, Stochastic, MACD, or even most “smart money” scripts that just plot cumulative delta without normalization or confluence checks. The gold triangles especially do not appear often, but when they do, multiple independent market forces are aligned at the same time.
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### Colors and what they mean
The indicator uses color in three places: the line, the background, and the signal triangles. Each one tells you something specific.
**The main line (Quantum Score)**
- Bright cyan (#00BCD4): this is the actual oscillator line you watch.
- Above zero = overall bullish pressure.
- Below zero = overall bearish pressure.
- The farther from zero, the stronger the combined pressure.
Typical range is roughly -1.5 to +1.5. Crosses of zero are not automatic signals (it needs more conditions), but they show when the balance flips.
**Background color**
- Light gold with transparency: High Resonance. All three components (trend, RSI, CVD) are clearly agreeing. This is the highest-conviction state.
- Very light green: trend is up but resonance is only medium or low.
- Very light red: trend is down but resonance is only medium or low.
- Grayish when flat: no clear trend or everything is mixed.
**Signal triangles**
- Large gold triangle up (bottom of pane): STRONG BUY → high resonance + all filters passed.
- Large gold triangle down (top of pane): STRONG SELL → same but bearish.
- Normal-sized green triangle up: regular buy (conditions met but components do not fully agree).
- Normal-sized red triangle down: regular sell (same, weaker agreement).
**The small table (top-right corner)**
- Trend: UP (green) or DN (red)
- RSI: number + color (red if >70, blue if <30)
- CVD: BUY (green) / SELL (red) / NEUT (gray)
- Score: current value of the cyan line
- Signal: BUY / SELL / WAIT
- Resonance: HIGH (gold) or LOW (gray)
### How to read it in practice
1. Wait for the cyan line to be clearly above or below zero. Close to zero usually means indecision.
2. Look at the background first:
- Gold background → pay maximum attention, probability is highest.
- Green or red background → direction is still valid, but not as powerful.
3. When a triangle appears:
- Gold large triangles: enter aggressively if your higher-timeframe bias agrees. These are the cleanest moves.
- Normal green/red triangles: still usable, especially if price is at support/resistance or you already have a position and want to add.
4. No triangle at all, even if the line is far from zero? One of the filters is blocking (usually RSI already overbought/oversold or hidden CVD divergence). It is deliberately staying quiet.
5. Quick checklist before taking a gold signal:
- Cyan line on the correct side of zero
- Background gold
- Gold triangle just printed
- Table shows “BUY” or “SELL” and “HIGH” resonance
That combination happens only a few times per day on most pairs, sometimes less.
In short: ignore everything until you see gold background + line up/down. That is when trend, momentum, and actual order flow are all pushing the same way at the same time. Everything else is secondary information or lower-probability setups.
BUY condition (table turns to BUY + line usually turns yellow)
All five must be true on the same bar:
finalScore > baseSensitivity
(default threshold = 1.0, you can lower it to 0.6–0.8 if you want more signals)
emaFast (8) > emaSlow (21) → trendUp = true
rsi ≤ 70 → not overbought
If “Divergence Protection” is enabled → no bearish hidden CVD divergence in last 10 bars
(price ≥ highest high of last 10 bars AND cvd1m_norm < highest cvd1m_norm of last 10 bars − 0.3)
Internally the rawScore is positive and rising (because finalScore is a 3-period EMA of it)
When all of the above are true → the table shows “BUY” in green and the oscillator line usually (but not always) turns yellow because resonance is high.
SELL condition (table turns to SELL + line usually turns yellow)
All five must be true:
finalScore < −baseSensitivity
emaFast (8) < emaSlow (21) → trendDown = true
rsi ≥ 30 → not oversold
If “Divergence Protection” is enabled → no bullish hidden CVD divergence in last 10 bars
(price ≤ lowest low of last 10 bars AND cvd1m_norm > lowest cvd1m_norm of last 10 bars + 0.3)
rawScore negative and falling
When all are true → table shows “SELL”.
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The QCS oscillator is not copied from any single academic paper, but almost every technical choice inside it comes from established, tested concepts that appear repeatedly in serious quantitative and institutional trading literature. Here are the real scientific or evidence-based roots for each major part:
1. **EMA 8 and EMA 21 for trend**
Widely used in institutional trend-following systems (examples: Aberration, many CTA trend models). The 8/21 combination is close to the classic 10/20 or 12/26 that appear in papers on adaptive moving averages and has been back-tested extensively in futures and forex since the 1990s.
2. **Trend strength normalized by ATR**
Directly from Kaufman (1995, 1998), Schwager, and later from papers on “volatility-adjusted momentum” (e.g., “Normalized Momentum” studies). Dividing price separation by ATR turns the raw difference into a dimensionless, comparable score across assets and timeframes – a standard technique in academic risk-parity and volatility-scaled strategies.
3. **RSI re-centered and re-scaled to -1 / +1**
Comes from statistical normalization practices in quantitative finance. Raw RSI is bounded 0-100, so it distorts weighted combinations. Re-scaling it to the same units as the other components is exactly what portfolio-construction and factor-investing literature does when combining signals of different native scales (see Grinold & Kahn, “Active Portfolio Management”).
4. **Cumulative Volume Delta (CVD) with z-score normalization**
Order-flow and volume-delta research exploded after 2010 with papers from the CME Group, Easley et al. (VPIN, 2012), and many microstructure studies. Normalizing cumulative delta by its own rolling standard deviation is the standard way high-frequency and market-making firms turn raw delta into a usable stationary signal (see Hasbrouck, “Empirical Market Microstructure” and many follow-up papers).
5. **Multi-timeframe order flow blending**
Institutional delta scalping desks and prop firms routinely look at delta on 1 m, 5 m, and 15 m simultaneously. Blending higher-timeframe delta with lower weights is a direct copy of how professional cumulative-delta tools (Bookmap, Jigsaw, Sierra Chart clusters) filter noise.
6. **Regime-dependent weighting (high vol → trust trend more, low vol → trust oscillators more)**
Straight from regime-switching literature (Ang & Bekaert, Hamilton time-series regime models) and practical papers like “Trend Following in Different Volatility Regimes” (Clare, Seaton, etc.). The exact thresholds (1.3× and 0.7× average ATR) are simplified but follow the same logic used in many volatility-regime filters.
7. **Hidden divergence on volume delta instead of just price**
Comes from modern order-flow literature. Classic price/RSI divergence is well known, but hidden divergence between price and cumulative delta is a much stronger filter according to microstructure research and papers on “aggressive order flow” (e.g., studies using TAQ data and signed volume).
8. **Requiring pairwise agreement (the resonance score)**
This is a very simple form of factor concordance or ensemble agreement, a technique used in almost all professional quantitative models to reduce false positives. Academic factor-timing papers (Asness, Frazzini, etc.) and ensemble machine-learning literature show that requiring multiple independent signals to agree dramatically improves Sharpe ratio.
So while no single university paper is titled “Quantum Confluence OSC,” every single mechanism inside the indicator is copied from concepts that have been published, back-tested, and used for decades in real institutional or high-level quantitative trading. That is why it feels cleaner and more robust than 99% of retail indicators — it is built from the same building blocks that actual trading firms use, just simplified into one Pine Script.
Qosh GRC 3Qosh GRC 3
Comprehensive indicator for crypto market analysis with advanced correlation capabilities and wave strength assessment.
Core Components
Mid Index (Green line)
Dynamic middle line based on EMA with hesitation filter. Determines current market zone (Bull/Bear).
Settings:
• Length: 230 (default)
• Hesitation: 0.0001
Mid Index 2 (Black line)
Channel middle line based on highest/lowest values. Visibility depends on slope (>0.15% change over 4 bars).
Settings:
• Length: 20 (default)
SMA
Two moving averages for trend analysis:
• SMA A (red): 50 periods
• SMA B (blue): 200 periods
Main Bars with Open Interest
Bar color depends on Open Interest level:
• Blue = bullish bar
• Red = bearish bar
• Opacity inversely proportional to OI (higher interest → more saturated color)
opacity = reverseAndRound(((oi_smoothed * 100 / 1)) / 2)
bar_color = color.new(close >= open ? color.blue : color.red, opacity)
Oscillators (Lord Caramelo)
BTC Oscillator
Semi-transparent green oscillator based on BTCUSDT. Shows Bitcoin's base movement for comparison.
Main Oscillator (4 candles)
Price movement decomposition into 4 components:
• Verde (green) — bullish strength
• Branca (white) — neutral zone
• Vermelha (red) — bearish strength
• Azul (blue) — baseline
Wave Strength (Candle Strength)
Displayed on top of main oscillator:
• Aqua = bullish wave
• Maroon = bearish wave
Candle height = wave intensity (based on TCUD calculations).
Critical Levels
• 0.2 (green) — oversold zone
• 0.8 (purple) — extreme overbought
Critical Zone Indication
Background colors when oscillator breaches critical levels and price diverges from Mid Index >2%:
• Blue background = bullish extremity
• Red background = bearish extremity
Correlation
Correlation A (primary)
Correlation of current asset with selected ticker (default BTCUSDT). Displays scaled candles of correlating asset.
Correlation B and C (additional)
Correlation calculation between two arbitrary ticker pairs.
Information Table
Top right corner displays:
• Movement strength of Mid Index and Mid Index 2
• Correlation values A/B/C
• Current market state (Bull/Bear)
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RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder📈 RSI Regime & Reversals (Leading) — Bull/Bear Trend Finder
This advanced RSI-based tool helps identify bullish and bearish market trends before they happen — combining classic RSI analysis with Cardwell-style reversals and range shift detection to act as a leading indicator rather than a lagging one.
🧠 Core Concept
The script detects when RSI behavior “shifts ranges,” a signature of trend changes:
• Bull Regime — RSI pullbacks hold above ~40 (momentum stays strong)
• Bear Regime — RSI rallies stall below ~60 (momentum weakens)
It then looks for leading clues inside those regimes:
• ✅ Positive Reversal: Price makes a higher low while RSI makes a lower low — a bullish continuation or early trend reversal signal.
• ❌ Negative Reversal: Price makes a lower high while RSI makes a higher high — an early warning of weakness.
• 🔁 Classic Divergences: Confirms reversals when RSI and price diverge at pivot points.
🎯 Signals
• Green “▲ Bull lead” — bullish reversal or divergence detected.
• Red “▼ Bear lead” — bearish reversal or divergence detected.
• Optional background shading:
• 🟩 Teal = Bullish regime
• 🟥 Red = Bearish regime
⚙️ Customization
• Regime sensitivity — Adjust RSI floor/ceiling for your asset’s volatility.
• Pivot sensitivity — Tune pivot lookback (L/R bars) for faster or slower signals.
• RSI smoothing — Filters noise without losing responsiveness.
• Alerts included — Trigger TradingView alerts for bullish or bearish leading signals.
🕵️♂️ Why it’s different
Unlike standard RSI divergences (which confirm after the move), this indicator uses positive/negative reversals to identify potential trend shifts early — a technique favored by Andrew Cardwell’s RSI analysis.
📊 Works great for:
• Swing trading and trend detection
• Spotting momentum regime shifts
• Stocks, crypto, FX, indices
KLS Ultimate V.1"KLS Ultimate V.1" is a meticulously designed trading indicator. It is built specifically for "Scalpers" (traders who want quick in-and-out profits).
**🚀 How it Works: The 3-Level Logic**
This indicator doesn't just rely on one tool. It gathers several indicators to have a "meeting" and confirm everything before giving you a Buy or Sell signal.
**🎯 Level 1: Core Trend (The Gatekeepers)**
This is the first checkpoint. If the price doesn't pass this stage, no signal gets generated.
- EMA: Is the price standing above the trend line? (Uptrend needs to be above, Downtrend below).
- MACD: Checks momentum and looks at the Histogram to see if real buying/selling volume is coming in.
- ADX: Measures trend strength (it won’t trade in boring, sideways markets).
**🔥 Level 2: Momentum (Finding the Best Entry)**
The second checkpoint to find the perfect spot to jump in.
- RSI: Checks if the price is Oversold (too cheap) or Overbought (too expensive).
- Stochastic: Finds short-term reversal crossovers.
**⭐ Level 3: Signal Boosters (For Strict Mode)**
A special bonus stage for those who want high accuracy (enable this in settings).
- RSI Divergence: Spots conflicts between price and RSI (e.g., Price drops but RSI rises = ready to pump).
- Price Action: Checks for strong candlestick patterns that show a clear winner between buyers and sellers.
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**🎮 User Guide**
Once you add this code to TradingView, here is what you will see and how to use it:
**A. Entry Signals**
🟢 Green BUY Label: Pops up below the candle.
* Means: Uptrend + Momentum + All filters passed.
🔴 Red SELL Label: Pops up above the candle.
* Means: Downtrend + Selling pressure + All filters passed.
**B. TP/SL Lines (Profit & Loss)**
The system calculates these automatically—no need to measure manually!
- Blue Line: Entry point.
- Light Green (TP1, TP2): Short-term profit targets.
- Dark Green (TP3): Long-term profit target.
- Red Line (SL): Stop Loss point.
**C. Special Mode: Strict Filter**
- Normal (False): Uses only Level 1 + Level 2. You get more signals.
- Strict (True): Needs Level 1 + 2 + 3 to trigger. Fewer signals, but much higher accuracy.
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**🛠️ Settings & Customization**
Click the gear icon to tweak the settings as you like:
1. Show BUY/SELL Signals: Uncheck if you don't want to see the labels.
2. Use Strict Filter: Check this for high precision (but you'll wait longer for signals).
3. Point Size: **Very Important!** This defines the TP/SL distance.
- For Gold (XAUUSD): Use **0.01**.
- For Forex pairs: Try **0.0001**.
- *Tip: Adjust this number until the TP/SL lines look reasonable on your chart.*
4. TP/SL Points: Set your desired profit/loss distance (e.g., TP1 = 50 points).
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💡 **Pro Tips**
- Trading Time: This code is smart—it checks sessions (based on GMT+7/Thai Time). It only gives signals during active markets (Sydney, Tokyo, London, NY). It stays quiet during dead hours.
- Recommended Timeframe: Since it's for Scalping, it works best on **M5, M15, or M30**.
- Money Management: Even with SL lines, always calculate your Lot Size properly. Don't overtrade!
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"KLS Ultimate V.1" เป็นเครื่องมือช่วยเทรด (Indicator) ที่ออกแบบมาอย่างปราณีตและซับซ้อนพอสมควร โดยเน้นไปที่ "สาย Scalping" (เทรดสั้นทำกำไรเร็ว) โดยเฉพาะ
🚀 เจาะลึกการทำงาน: ระบบกรอง 3 ชั้น (The 3-Level Logic)
อินดิเคเตอร์ตัวนี้ไม่ได้ใช้แค่เครื่องมือเดียวตัดสินใจ แต่มันเอาอินดิเคเตอร์หลายตัวมา "คอนเฟิร์ม" กันก่อนจะบอกให้คุณ Buy หรือ Sell ครับ
🎯 Level 1: ตัวคุมเทรนด์หลัก (Core Indicators)
นี่คือด่านแรก ถ้าไม่ผ่านด่านนี้ จะไม่มีสัญญาณเกิดขึ้น
- EMA (เส้นค่าเฉลี่ย): เช็คว่าราคายืนเหนือเส้นเทรนด์ไหม? (ขาขึ้นต้องยืนเหนือ, ขาลงต้องอยู่ใต้)
- MACD (โมเมนตัม): ดูแรงส่งของกราฟ และดู Histogram ว่ามีแรงซื้อ/ขาย เข้ามาจริงไหม
- ADX: วัดความแข็งแรงของเทรนด์ (ถ้าตลาดไซด์เวย์น่าเบื่อๆ ADX ต่ำๆ มันจะไม่เทรด)
🔥 Level 2: จุดกลับตัว (Momentum Indicators) ด่านที่สอง หาจังหวะเข้าที่ได้เปรียบ
- RSI: ดูว่าราคาถูกเกินไป (Oversold) หรือแพงเกินไป (Overbought) หรือยัง
- Stochastic: หาจุดตัดเพื่อยืนยันจุดกลับตัวระยะสั้น
⭐ Level 3: ตัวบูสต์สัญญาณ (Boost Indicators - สำหรับโหมด Strict)
ด่านพิเศษ สำหรับคนที่ต้องการความชัวร์ระดับสูง (เปิดใช้ได้ในตั้งค่า)
- RSI Divergence: หาสัญญาณขัดแย้งระหว่างราคากับ RSI (เช่น ราคาลงแต่ RSI ยกขึ้น = เตรียมพุ่ง)
- Price Action: ดูรูปแบบแท่งเทียนว่ามีแรงซื้อ/ขาย ชนะขาดลอยหรือไม่
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🎮 คู่มือการใช้งาน (User Guide)
เมื่อคุณแปะโค้ดนี้ลงใน TradingView แล้ว สิ่งที่คุณจะเห็นและการใช้งานมีดังนี้ครับ:
A. สัญญาณเข้าออเดอร์ (Entry Signals)
🟢 ป้าย BUY (สีเขียว): จะโผล่ใต้แท่งเทียน
แปลว่า: เทรนด์เป็นขาขึ้น + โมเมนตัมมา + ผ่านเงื่อนไขกรองต่างๆ แล้ว
🔴 ป้าย SELL (สีแดง): จะโผล่เหนือแท่งเทียน
แปลว่า: เทรนด์เป็นขาลง + แรงขายมา + ผ่านเงื่อนไขกรองต่างๆ แล้ว
B. เส้นเป้าหมายกำไร/ขาดทุน (TP/SL Lines)
ระบบคำนวณให้อัตโนมัติ ไม่ต้องนั่งวัดเอง!
- เส้นสีน้ำเงิน: จุดเข้า (Entry)
- เส้นสีเขียวอ่อน (TP1, TP2): เป้าทำกำไรระยะใกล้
เส้นสีเขียวเข้ม (TP3): เป้าทำกำไรระยะไกล
เส้นสีแดง (SL): จุดยอมแพ้ (Stop Loss)
C. โหมดพิเศษ: Strict Filter (โหมดเข้มงวด)
- ค่าปกติ (False): ใช้แค่ Level 1 + Level 2 ก็เกิดสัญญาณแล้ว (สัญญาณเยอะหน่อย)
- ถ้าเปิดใช้ (True): ต้องผ่าน Level 1 + 2 + 3 ถึงจะเกิดสัญญาณ (สัญญาณน้อย แต่แม่นยำสูงมาก)
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🛠️ วิธีตั้งค่าและปรับแต่ง (Settings)
ในหน้าตั้งค่า (รูปเฟือง) คุณสามารถปรับจูนได้ตามใจชอบ:
1. Show BUY/SELL Signals: ติ๊กออกถ้าไม่อยากเห็นป้ายสัญญาณ
2. Use Strict Filter: ติ๊กถูกถ้าอยากได้สัญญาณแม่นๆ (แต่รอนานหน่อย)
3. Point Size: สำคัญมาก! ใช้กำหนดระยะ TP/SL
- ถ้าเทรดทอง (XAUUSD) ตั้งค่าพื้นฐาน 0.01 เท่านั้น
- ถ้าเทรดคู่เงิน (Forex) อาจจะปรับเป็น 0.0001
- แนะนำให้ลองปรับจนเส้น TP/SL บนกราฟดูสมเหตุสมผล
4. TP/SL Points: กำหนดระยะจุดกำไรขาดทุนที่ต้องการ (เช่น TP1 = 50 จุด)
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💡 คำแนะนำเพิ่มเติม (Tips)
- เวลาเทรด: โค้ดนี้ฉลาดมาก มันมีการเช็คเวลา (Session) ให้ด้วย โดยอิงเวลา GMT+7 (เวลาไทย) โดยจะเทรดเฉพาะช่วงที่มีตลาดหลักเปิด (Sydney, Tokyo, London, NY) ช่วงตลาดวายดึกๆ หรือเช้ามืดเงียบๆ มันจะไม่บอกสัญญาณ
- Timeframe ที่แนะนำ: เนื่องจากเขียนมาเพื่อ Scalping แนะนำให้ใช้กับ M5, M15 หรือ M30 จะเห็นผลดีที่สุดครับ
- การบริหารเงิน (MM): แม้ระบบจะมี SL ให้ แต่คุณควรคำนวณ Lot Size ให้เหมาะสม ไม่ควร Overtrade ครับ
VMS Multi Index Options Buying IndicatorDetailed User Guide
This system is a multi-faceted toolkit designed for traders who use options. It synthesizes information from the underlying asset, specific call and put options, and market structure to generate a consolidated view.
Core Philosophy:
The tool is built on the principle of "Multi-Timeframe, Multi-Indicator Confirmation." It avoids relying on a single signal. Instead, it seeks confluence between momentum, trend, market structure, and volume data across different components (underlying, call, and put) before suggesting a trade.
1. The Legal Agreement & Setup
Getting Started: The first thing you will see is a mandatory disclaimer. You must type "agree" into the input field to activate the indicator and acknowledge the associated risks.
Defining Your Instruments: The core of the setup is specifying the two options you want to analyze.
Call Option Symbol: Input the specific symbol for the call option you are tracking.
Put Option Symbol: Input the specific symbol for the put option you are tracking (typically, these would be similar strike prices and expiry).
2. Understanding the Primary Signal
The main trading signal is derived from a multi-index analysis applied separately to your chosen call and put options.
The Histogram (Momentum Gauge):
You will see two histograms (bar charts) on the main panel.
The top section (above the zero line) represents the Call Option's momentum.
The bottom section (below the zero line) represents the Put Option's momentum.
Interpretation:
Green Bars (Call) / Red Bars (Put): Indicate a "BUY" signal for that respective option.
Yellow Bars (Call) / Orange Bars (Put): Indicate a "WEAK" or cautionary signal.
Gray Bars: Indicate "NO TRADE" conditions.
The height and position of the bars show the strength and direction of the momentum oscillator.
The Signal Dashboard (Your Command Center):
A table provides a numerical breakdown of the signal strength. This is where you get the "why" behind the colors.
Overall Signal: The final verdict ("BUY CALL", "WEAK PUT", "NO TRADE").
Strength (/7): A score out of 7 for each option. A score of 4 or higher is considered a strong signal. A score of 3 is weak. This score is an aggregate of several factors:
Momentum Oscillator Value & Direction
Momentum above a defined threshold
Short-term vs. Long-term trend alignment
"Squeeze" state (a volatility contraction indicator)
A bonus for fresh momentum crossovers.
Key Takeaway: Look for the option with the higher strength score, and only consider trades when the score is 3 or above, with a preference for scores of 4+.
3. Integrating Market Context
The indicator overlays several other analytical tools to provide context for the primary signal. Confluence with these tools increases the probability of a successful trade.
Support & Resistance (S/R) Lines:
Multiple colored horizontal lines are drawn on the chart, representing key support and resistance levels derived from monthly, weekly, and daily data.
How to Use: Observe the price action relative to these levels. A "BUY CALL" signal that occurs near a major support line (e.g., L0, L1, L2) is significantly more powerful. Conversely, a "BUY PUT" signal near a major resistance line (e.g., L8, L9, L10) carries more weight.
Trend Filter (Intraday Level):
A thick line that acts as a dynamic trend filter.
How to Use: This is a simple but effective filter.
If price is above this line, it suggests a bullish intraday bias. Favor "BUY CALL" signals.
If price is below this line, it suggests a bearish intraday bias. Favor "BUY PUT" signals.
Ignore or be very cautious with signals that go against the Trend Filter.
Volume Analysis Dashboard:
A separate table provides a deep dive into volume data for both the underlying asset and your specified options.
How to Use: This confirms whether money flow agrees with your technical signal.
A "BUY CALL" signal is reinforced if the underlying and the call option are seeing higher buy volume % and more bullish candles.
A "BUY PUT" signal is reinforced if the underlying and the put option are seeing higher buy volume % and more bullish candles.
Call-Put Spread Analysis:
This measures the difference in price between your call and put options.
How to Use:
A rising or positive spread suggests market sentiment is becoming more bullish (calls are gaining value faster than puts).
A falling or negative spread suggests market sentiment is becoming more bearish (puts are gaining value faster than calls).
Use this to confirm the bias of your primary signal.
4. Entry Execution & Risk Management
Entry Timing: The ideal entry occurs when the primary signal triggers ("BUY CALL/PUT") and you have confluence from at least 2 of the 3 contextual factors:
Price is respecting a key S/R level.
The Trend Filter aligns with the signal direction.
Volume and Spread data confirm the momentum.
Built-in Alerts: You can set alerts for the "Buy Call" and "Buy Put" conditions so you are notified when a strong signal triggers.
Risk Management: This is paramount. The indicator does not provide stop-loss or take-profit levels. You must employ your own risk management strategy, such as:
Placing a stop-loss below the recent swing low (for calls) or above the recent swing high (for puts).
Using a fixed percentage or rupee-based risk per trade.
Quick-Reference Cheat Sheet
Step Component What to Look For Action
1 Primary Signal Histogram color & "Overall Signal" in dashboard. Green/Red: Strong signal. Yellow/Orange: Weak signal. Gray: No trade.
2 Signal Strength "Strength (/7)" score in dashboard. ≥4: Strong. =3: Weak/Cautious. <3: Ignore.
3 Market Structure Price relative to S/R lines & Trend Filter. Bullish Confluence: Signal + Price near support + Above Trend Filter.
Bearish Confluence: Signal + Price near resistance + Below Trend Filter.
4 Volume Confirmation Volume Dashboard. Underlying and option should show higher Buy Volume % and more Bullish Candles in the direction of your trade.
5 Sentiment Check Call-Put Spread. Rising/Positive Spread: Confirms bullish bias.
Falling/Negative Spread: Confirms bearish bias.
6 Final Decision Composite of all factors. High-Probability Trade: Strong primary signal (Step 1 & 2) with confluence from Steps 3, 4, and/or 5.
7 Execute & Manage Your Trading Plan. Enter trade. Always use a stop-loss. Take profits based on your predefined plan. The Illusion of the "Perfect Indicator"
The human mind, especially when faced with the complexity and stress of financial markets, seeks certainty. It wants a system that says, "Buy here, sell there, and you will win." This desire creates a dangerous vulnerability: the belief that a tool can replace judgment.
The final note, "This system is designed to inform your decisions, not to make them for you," is a direct antidote to this illusion. Here’s a breakdown of what that truly means:
1. The Tool is a Compass, Not an Autopilot
Think of this indicator as a high-tech compass on a ship. It can tell you:
The direction of the wind (momentum).
The depth of the water (support/resistance).
The set of the currents (trend).
The activity in other nearby vessels (volume).
But it cannot:
Steer the ship for you.
Decide when to reef the sails in a sudden storm (volatility spike).
Choose the final destination (your financial goals).
Abandon ship if it starts to sink (your risk management).
You are the captain. The tool provides superb data, but you must synthesize it with experience, intuition, and an overarching strategy. Blindly following any signal, no matter how strong, is like setting your autopilot in a crowded shipping lane and going to sleep.
2. The Gap Between Signal and Execution
A "BUY CALL" signal is a moment in time. Your execution is another. The market is a dynamic, living entity. What was true at the close of the candle when the signal generated may not be true 30 seconds later when your order is placed.
Slippage: The price you get vs. the price you see.
Gaps: The market can open beyond your risk parameters.
Latency: The signal is historical; you are trading in the present.
Your skill lies in navigating this gap. The indicator highlights a potential opportunity, but your discipline in order placement, patience for the right entry, and ability to abort a setup that "looks wrong" in real-time are what separate professionals from amateurs.
3. The Context is King (And the Indicator Can't See Everything)
No indicator has access to the full context of the market.
Macro-Events: Is there a central bank announcement in 30 minutes? The indicator doesn't know. You should.
Earnings: Did a major sector company just report disastrous earnings, changing the sentiment for the entire index?
Global Cues: Are international markets crashing?
A signal might be technically perfect but fundamentally suicidal given the broader context. You are the one who must bring this macro-awareness to the table. The tool provides a micro-view; you provide the macro-view.
4. The Psychology of the Trader is the Ultimate System
This is the most important element. You can have the best tool in the world, but if your mind is not trained, you will lose.
Confirmation Bias: The tool gives a "WEAK PUT" signal, but you are already bearish. You interpret it as a "STRONG PUT" and over-leverage.
Hope & Fear: A trade goes against you. The indicator might still be holding its signal, but your fear triggers an early exit. Or conversely, a "NO TRADE" signal appears, but your hope for a win makes you enter anyway.
Revenge Trading: After a loss, you ignore the "NO TRADE" signal and jump into the next setup to "win your money back."
The indicator is a logic-based system. Trading is a psychological endeavor. The tool can suggest what to do, but it cannot give you the discipline to follow through or the wisdom to deviate when necessary.
In Essence:
Using this powerful system without the final note in mind is like giving a masterfully crafted, precision sniper rifle to someone who has never been taught to breathe steadily, account for wind, or manage their trigger squeeze. The rifle is capable, but the outcome is entirely dependent on the skill and discipline of the person holding it.
Therefore, use the tool to:
Focus your attention on high-probability setups.
Provide a framework for your analysis.
Save time on manual calculations.
But never abdicate your responsibility to:
Apply sound risk management on every single trade.
Maintain emotional discipline.
Consider the broader market context.
Make the final call.
The ultimate goal is not to find a system you can follow blindly, but to use tools like this to become a more informed, disciplined, and self-aware trader. The indicator is a part of your edge; you are the source of it.
DW's Top and Bottom FinderDW’s Top and Bottom Finder is a precision-engineered volatility model built to reveal moments of extreme market imbalance—points where fear or euphoria stretch price beyond natural limits. These extremes often mark the earliest phase of major reversals, and this tool is designed to help you spot them with clarity and confidence.
Using a dual-direction volatility engine, the indicator identifies when price accelerates sharply away from its recent structure.
• Green signals highlight potential capitulation zones where downside pressure becomes unsustainably high.
• Red signals reveal potential exhaustion zones where upside momentum begins to lose integrity.
A three-mode system—Bottoms, Tops, or Both—lets you tailor the tool to your style, whether you trade reversals, mean-reversion setups, or simply want early warning signs before trend shifts. Optional percentile ranges and deviation bands visually reinforce each signal, providing a multi-layered read on volatility extremes.
DW’s Top and Bottom Finder is built for traders who value precision, adaptability, and an objective lens on market behavior. It works across all timeframes and asset classes, offering a clean and dependable framework for identifying high-energy turning points long before conventional indicators confirm them.
Nuh's Stochastic + Structure 1.0Nuh's Stochastic + Structure 1.0 is an advanced momentum–structure fusion indicator designed to identify high-probability reversal and continuation zones using a multi-layer confirmation engine. The script combines enhanced Stochastic analysis, market structure detection (HH/HL/LH/LL), divergence tracking, volume spikes, higher-timeframe trend alignment, and extreme-duration filters to deliver highly reliable buy/sell signals. Each signal is dynamically scored for strength, and a compact one-line trend panel provides real-time market state at a glance. Colors and visual elements follow a clear and intuitive hierarchy optimized for fast decision-making. Ideal for crypto, indices, and forex traders who want precision entries with minimal noise.
BTC 30 m Long singal Asset: Bitcoin only
Timeframe: 30 minutes
Entry Conditions (Long):
MACD histogram turns from red to green (negative to positive)
Stochastic K line crosses above D line AND this crossover happens below the lower band (20)
RSI is above the middle band (50)
