Silver BulletSilver Bullet is a trading tool built for finding cleaner, higher-probability setups. It focuses on key windows of market movement and adds helpful tools like daily range levels and candlestick patterns.
Whether you’re trading breakouts or reversals, Silver Bullet gives you a clearer view of the market and more confidence in your setups.
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🔹 Trading Setup #1: Macro Time
The Macro Time setting offers two modes: Macro Bullet and Silver Bullet. Both help traders focus on specific times when the market tends to deliver clean moves.
• Macro Bullet is based on the high and low of a full macro session. It automatically detects the session’s range and bias, then offers optimal entries for either Long or Short setups. Once the session resolves, it provides Fibonacci-based levels for entry, target, and stop loss.
• Silver Bullet is based on ICT concepts and focuses on the hourly range for London, NY AM, and NY PM sessions. It’s designed for quick time blocks and highlights key levels as the session unfolds.
To use this setup, set Macro Time to “ICT Sessions” and select your preferred mode under Bullet Mode.
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🔹 Trading Setup #2: Daily Range
Enable Daily Range to draw Fibonacci levels based on either the previous day’s candle or the current day’s developing range. These levels help you identify potential support, resistance, and midpoint zones throughout the day.
With the current day’s range, levels automatically update in real time as new highs or lows form — keeping your chart aligned with evolving price action.
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🔹 Trading Setup #3: Candlestick Patterns
Turn on Candlestick Patterns to automatically highlight clean reversal signals such as Hammers, Hanging Men, Shooting Stars, and Tweezers. Each pattern is detected using specific criteria and trend filters to reduce noise and improve reliability. They work especially well as confirmation signals around key levels or session zones.
Silver Bullet brings structure, clarity, and precision to your intraday trading. By combining time-based bias, price action levels, and pattern recognition, it helps you trade with purpose — not guesswork. Use one setup or combine all three for a complete view of the market, tailored to your style and session of choice.
Analisis Trend
Elliott Wave Auto Detector (Simplified)How to Use the Detector
Identify Structure: Look for sequences like 1-2-1-2...
These may show a forming or ongoing Elliott wave pattern.
Validate Trend: Multiple red 2’s at lower highs suggests a bearish trend; the reverse with blue 1’s at higher lows is bullish.
Trading Zones:
Consider buying near clusters of blue 1’s (support zones).
Consider selling or shorting near clusters of red 2’s (resistance zones).
Look for Breakouts: If price breaks out of the descending channel, trend may reverse or accelerate.
TPC Strategy XAUUSD - M5 with Fixed SL/TPThis script implements a trend-following strategy for XAUUSD on the 5-minute chart, using 200 EMA and 21 EMA to filter direction. Entries are triggered based on RSI, MACD crossovers, and price action alignment. It includes fixed Stop Loss (15 pips) and Take Profit (22.5 pips) with visual SL/TP lines, BUY/SELL labels, and alert conditions for automated notifications. Designed for intraday scalping and low-risk entries during trending conditions.
No-Wick Extreme Bot – Tops & BottomsNo-Wick ExtremBot – Tops & Bottoms
A high-precision reversal detector for true market extremes.
No-Wick ExtremBot is designed to catch highly accurate market turning points by combining strict candle structure logic with RSI exhaustion levels and ATR-based retest validation.
Unlike conventional indicators that flood your chart with noise, this tool focuses on one thing: spotting clean, no-wick reversal setups where price shows clear momentum exhaustion and is ready to reverse.
🧠 How it works:
No-Wick Candle Detection
• Bullish signal: candle closes above open, with almost no lower wick
• Bearish signal: candle closes below open, with almost no upper wick
• Wick sensitivity is adjustable via “Wick-Tolerance (%)”
RSI Confirmation
• Long signals require RSI below your defined “BUY level”
• Short signals require RSI above your defined “SELL level”
Retest Validation
• After a no-wick setup is detected, price must retest that exact wick level
• This filters out weak impulses and confirms true exhaustion zones
Final Signal = No-Wick + RSI Extreme + Retest
• When all 3 conditions align → a BUY or SELL label appears
• ATR is used to space the signal label from price for better visibility
⚙️ Custom Settings:
• Wick Tolerance (%)
• RSI Length & Thresholds
• ATR Length for spacing
✅ Key Benefits:
• Detects market tops and bottoms with minimal lag
• Eliminates noise – shows only high-quality reversals
• Works across all timeframes and markets
• Visual, easy-to-read signals directly on the chart
• Highly effective for scalping, swing entries, and liquidity traps
🔁 Signal-to-Signal Reverse Indicator🔁 Signal-to-Signal Reverse Indicator
Overview
The Signal-to-Signal Reverse Indicator is a precision trend-trading tool designed for clean reversal entries with enhanced filtering logic. It identifies bullish and bearish trend shifts using a combination of EMA crossovers, RSI zones, ADX strength confirmation, and a wick/retest validation logic. Ideal for traders who aim to ride significant swings and avoid fakeouts.
Key Features
- 🔄 Signal-to-signal directional reversals with clean entries
- 📉 EMA-based trend identification (fast & slow)
- 💪 ADX confirmation for trend strength
- 🎯 RSI filters with extreme zone entries (oversold/overbought)
- 🔍 No-wick and retest candle logic to filter false breakouts
- 🟢 Optional BUY/SELL label signals for added confluence
- 🧠 Entry delay filter for extra candle confirmation
- 🎯 Configurable Take Profit and Stop Loss visualization (for strategy version)
- 🧰 All parameters are fully customizable
Visual Markers
- Green triangles 🔼: Long entries
- Magenta triangles 🔽: Short entries
- Small green/red circles: Detected trend changes
- Green/Red label markers: Optional BUY/SELL label trigger
Screenshot Example
Ideal Use
This indicator is ideal for intraday and swing traders looking for accurate reversal entries with visual clarity. Use it in combination with volume, Fibonacci levels, or major S/R zones to confirm high-probability setups.
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📌 Built with ❤️ for TradingView. Developed for clarity, logic, and adaptability.
Superdupermegadeduper signals by BrenFX🚀 Superdupermegadeduper Signals by BrenFX
Overview
The Superdupermegadeduper Signals indicator is a comprehensive trading system that combines multiple advanced technical analysis concepts to identify high-probability trading opportunities. This indicator integrates supply/demand zone analysis, dynamic trendline detection, and multi-confirmation signal generation to provide traders with precise entry, stop-loss, and take-profit levels.
🎯 Key Features
Supply & Demand Zone Detection
Intelligent Zone Identification: Automatically detects high-probability supply and demand zones based on price action and touch frequency
Customizable Zone Strength: Set minimum touches required for zone validation (2-10 touches)
Visual Zone Display: Clear visual representation with customizable colors and transparency
Zone Extension: Projects zones forward for future reference
Dynamic Trendline Analysis
Multi-Touch Trendline Detection: Identifies significant support and resistance trendlines with configurable minimum touch requirements
Automatic Trendline Drawing: Draws and extends trendlines automatically with custom colors
Deviation Tolerance: Configurable deviation percentage for trendline validation
Breakout & Retest Signals: Detects trendline breakouts and subsequent pullback retests
Advanced Signal Generation
Dual Signal Types:
Zone Reversal Signals: Based on supply/demand zone interactions
Trendline Breakout Signals: Based on trendline breaks with pullback confirmation
Multi-Confirmation System:
Volume confirmation (optional)
RSI filter integration
Candlestick pattern confirmation
Pullback verification
Professional Trade Management
Multiple Stop Loss Methods:
ATR-based dynamic stops
Zone-based stops
Fixed point stops
Automatic Level Calculation: Entry, stop-loss, and take-profit levels calculated automatically
Real-Time Trade Table: Live display of current trade levels and parameters
Customizable Table Position: Place trade information anywhere on your chart
Alert System
Comprehensive Alerts: Get notified instantly when signals are generated
Detailed Alert Messages: Include entry price, stop-loss, and take-profit levels
Frequency Control: Once-per-bar alert frequency to avoid spam
📊 How It Works
Signal Logic
Zone Analysis: The indicator scans for areas where price has repeatedly found support or resistance
Trendline Detection: Identifies significant trend lines by connecting pivot points with multiple touches
Confirmation Process: Multiple filters ensure signal quality:
Price action confirmation (multiple bullish/bearish candles)
Volume above average (optional)
RSI oversold/overbought conditions (optional)
Entry Timing: Signals are generated when all confirmations align
Buy Signals Generated When:
Price reaches a demand zone with bullish reversal confirmation, OR
Price breaks above resistance trendline and retests successfully
Sell Signals Generated When:
Price reaches a supply zone with bearish reversal confirmation, OR
Price breaks below support trendline and retests successfully
⚙️ Configuration Options
Supply/Demand Settings
Zone Strength: Minimum touches required (2-10)
Lookback Period: Historical bars to analyze (10-100)
Zone Extension: Forward projection length (1-20 bars)
Trendline Settings
Lookback Period: Historical analysis range (20-200 bars)
Minimum Touches: Required pivot connections (2-5)
Deviation Tolerance: Allowable price variance (0.01-1.0%)
Signal Filters
Reversal Confirmation: Required confirmation candles (1-5)
Pullback Confirmation: Retest validation period (1-5)
Volume Filter: Above-average volume requirement
RSI Filter: Overbought/oversold confirmation
Trade Management
Stop Loss Methods: ATR, Zone-based, or Fixed points
ATR Multiplier: Risk adjustment (0.5-5.0x)
Take Profit: Fixed point target (1.0-50.0 points)
📈 Best Practices
Recommended Settings
For Scalping: Lower zone strength (2-3), shorter lookback periods
For Swing Trading: Higher zone strength (4-6), longer lookback periods
For Trend Following: Enable trendline signals, use ATR-based stops
Risk Management
Always use the provided stop-loss levels
Consider position sizing based on stop-loss distance
Monitor the trade table for real-time level updates
Use alerts to avoid missing opportunities
🎨 Visual Elements
Supply Zones: Red semi-transparent rectangles
Demand Zones: Green semi-transparent rectangles
Resistance Lines: Red trendlines
Support Lines: Green trendlines
Buy Signals: Green "BUY" labels below bars
Sell Signals: Red "SELL" labels above bars
Trade Table: Comprehensive trade information display
💡 Tips for Success
Combine with Market Structure: Use on clean trends and at key support/resistance levels
Multiple Timeframe Analysis: Confirm signals on higher timeframes
Volume Confirmation: Enable volume filter for higher quality signals
Risk Management: Never risk more than 1-2% per trade
Backtesting: Test settings on historical data before live trading
⚠️ Important Notes
This indicator works best in trending markets
Signals are more reliable when multiple confirmations align
Always consider fundamental analysis and market conditions
Past performance does not guarantee future results
Practice proper risk management at all times
🔧 Technical Specifications
Pine Script Version: 6
Overlay: Yes
Max Objects: 500 boxes, 500 lines
Performance: Optimized for real-time analysis
Compatibility: Works on all timeframes and instruments
Developed by BrenFX | Advanced Trading Signals for Professional Traders
Remember: Trading involves risk. This indicator is a tool to assist in analysis and should not be the sole basis for trading decisions. Always use proper risk management and consider your financial situation before trading.
COT-Extreme ZonesThis indicator visualizes Commitment of Traders (COT) data for Commercials, Non-Commercials, and Retail Traders using net positions.
It highlights extreme positioning zones with colored background boxes:
🔴 Red for extremely short positions and
🟢 Green for extremely long positions,
based on configurable thresholds.
Ideal for swing traders and sentiment-based strategies.
Includes:
– Stepline plots for clean separation
– Fixed opacity zones for clear visual alerts
– Minimalistic labels (one per line)
– Weekly resolution (auto-synced to symbol)
🎯 Use this to identify sentiment extremes that may lead to turning points.
Universal Adaptive Psychological Levels 1.1This simple indicator is somewhat working around an inability to see big accumulations of limit orders in Tradingview.
It just marks the levels of round psychological prices (e.g. 1000, 1100, 1110) and adjusts to the range of prices of the current ticker.
These psychological levels work as resistance and support levels, especially if the price didn't visit it already lately.
openig price +- .13%This is opening price indicator with levels .13% .26 .50 .1 .1.5 .2 simillary for -ve sides .
it is easy to know levels from top to bottom
Innotrade FVGThe Innotrade FVG indicator is a professional-grade tool designed to automatically identify, display, and manage Fair Value Gaps (FVGs).
What makes this indicator unique is its full lifecycle management. Unlike basic FVG tools that permanently clutter your chart, our script intelligently tracks an FVG from its creation to its conclusion:
ACTIVE: A new FVG is identified and drawn.
MITIGATED: The FVG changes color the moment price touches it, providing a visual confirmation.
TAKEN: The FVG is automatically removed from the chart once price has passed completely through it, keeping your analysis clean and focused on relevant market data.
This dynamic approach ensures your charts remain clear and that you are always focused on active, relevant imbalances.
█ CORE CONCEPT: WHAT IS A FAIR VALUE GAP (FVG)?
A Fair Value Gap represents a market inefficiency or imbalance. It is a three-candle pattern that occurs when price moves with significant force in one direction, leaving a gap between the first candle's high and the third candle's low (for a bullish FVG) or the first candle's low and the third candle's high (for a bearish FVG).
These gaps often act as a "magnet" for price, meaning the market has a high probability of returning to this area to "rebalance" the price action before continuing its trend.
█ KEY FEATURES
Full FVG Lifecycle Management: Automatically tracks FVGs from Active -> Mitigated -> Taken, keeping your charts pristine.
Robust Multi-Timeframe (MTF) Analysis : Detect FVGs on higher timeframes (e.g., 4H) while viewing a lower timeframe chart (e.g., 15m), allowing for high-precision entries based on key market structure.
Customizable Mitigation Alerts: Create an alert to be notified the moment price enters an FVG, so you never miss a potential trading opportunity.
Clean and Clear Visuals: Fully customizable colors for bullish, bearish, and mitigated FVGs allow you to tailor the indicator to your charting theme.
Efficient and Reliable Code: Built to handle all timeframe contexts correctly, ensuring the indicator is reliable whether you are analyzing the current chart timeframe or a higher one.
█ HOW TO USE THE INDICATOR
The primary function of this indicator is to highlight key areas of interest where price may return.
Bullish FVG (Green Box): This is an area of potential support. Traders often look for price to retrace back down into this box as a potential entry point for a long position.
Bearish FVG (Red Box): This is an area of potential resistance. Traders often look for price to rally back up into this box as a potential entry point for a short position.
Mitigated FVG (Gray Box): This indicates that price has already returned to test the FVG area. The imbalance has been at least partially filled.
Example Strategy:
Set the indicator to find FVGs on the 1-hour timeframe.
Switch to your 5-minute chart for execution.
When a green Bullish FVG appears on your chart (from the 1H timeframe), set an alert for its mitigation.
When the alert triggers, look for a bullish confirmation signal on the 5-minute chart to enter a long trade.
█ SETTINGS EXPLAINED
General Settings
Show FVGs: A master switch to turn the visibility of all FVG drawings on or off.
Timeframe for FVG Detection: Choose the timeframe on which the indicator will look for FVGs. Leave this blank to use your chart's current timeframe.
Enable Alerts on FVG Mitigation: This must be enabled to allow TradingView's alert system to work with this indicator.
Style Settings
Bullish FVG Color: Sets the color for newly formed bullish FVGs.
Bearish FVG Color: Sets the color for newly formed bearish FVGs.
Mitigated FVG Color: Sets the color that an FVG will turn into after being touched by price.
Extend Boxes into the Future: When checked, FVG boxes will continue to extend to the right until they are mitigated or taken.
Label Color / Label Size: Customizes the "FVG" text that appears on newly formed gaps.
Morning Break OutThis indicator visualizes a classic morning breakout setup for the DAX and other European markets. The first hour often sets the tone for the trading day — this tool helps you identify that visually and react accordingly.
🔍 How It Works:
Box Range Calculation:
The high and low between 09:00 and 10:00 define the top and bottom of the box.
Color Logic:
Green: Price breaks above the box after 10:00 → bullish breakout
Red: Price breaks below the box after 10:00 → bearish breakout
Gray: No breakout → neutral phase
📈 Use Cases:
Identify breakout setups visually
Ideal for intraday traders and momentum strategies
Combine with volume or trend filters
⚙️ Notes:
Recommended for timeframes 1-minute and above
Uses the chart’s local timezone (e.g. CET/CEST for XETRA/DAX)
Works on all instruments with data before 09:00 — perfect for DAX, EuroStoxx, futures, FX, CFDs, etc.
MERV: Market Entropy & Rhythm Visualizer [BullByte]The MERV (Market Entropy & Rhythm Visualizer) indicator analyzes market conditions by measuring entropy (randomness vs. trend), tradeability (volatility/momentum), and cyclical rhythm. It provides traders with an easy-to-read dashboard and oscillator to understand when markets are structured or choppy, and when trading conditions are optimal.
Purpose of the Indicator
MERV’s goal is to help traders identify different market regimes. It quantifies how structured or random recent price action is (entropy), how strong and volatile the movement is (tradeability), and whether a repeating cycle exists. By visualizing these together, MERV highlights trending vs. choppy environments and flags when conditions are favorable for entering trades. For example, a low entropy value means prices are following a clear trend line, whereas high entropy indicates a lot of noise or sideways action. The indicator’s combination of measures is original: it fuses statistical trend-fit (entropy), volatility trends (ATR and slope), and cycle analysis to give a comprehensive view of market behavior.
Why a Trader Should Use It
Traders often need to know when a market trend is reliable vs. when it is just noise. MERV helps in several ways: it shows when the market has a strong direction (low entropy, high tradeability) and when it’s ranging (high entropy). This can prevent entering trend-following strategies during choppy periods, or help catch breakouts early. The “Optimal Regime” marker (a star) highlights moments when entropy is very low and tradeability is very high, typically the best conditions for trend trades. By using MERV, a trader gains an empirical “go/no-go” signal based on price history, rather than guessing from price alone. It’s also adaptable: you can apply it to stocks, forex, crypto, etc., on any timeframe. For example, during a bullish phase of a stock, MERV will turn green (Trending Mode) and often show a star, signaling good follow-through. If the market later grinds sideways, MERV will shift to magenta (Choppy Mode), warning you that trend-following is now risky.
Why These Components Were Chosen
Market Entropy (via R²) : This measures how well recent prices fit a straight line. We compute a linear regression on the last len_entropy bars and calculate R². Entropy = 1 - R², so entropy is low when prices follow a trend (R² near 1) and high when price action is erratic (R² near 0). This single number captures trend strength vs noise.
Tradeability (ATR + Slope) : We combine two familiar measures: the Average True Range (ATR) (normalized by price) and the absolute slope of the regression line (scaled by ATR). Together they reflect how active and directional the market is. A high ATR or strong slope means big moves, making a trend more “tradeable.” We take a simple average of the normalized ATR and slope to get tradeability_raw. Then we convert it to a percentile rank over the lookback window so it’s stable between 0 and 1.
Percentile Ranks : To make entropy and tradeability values easy to interpret, we convert each to a 0–100 rank based on the past len_entropy periods. This turns raw metrics into a consistent scale. (For example, an entropy rank of 90 means current entropy is higher than 90% of recent values.) We then divide by 100 to plot them on a 0–1 scale.
Market Mode (Regime) : Based on those ranks, MERV classifies the market:
Trending (Green) : Low entropy rank (<40%) and high tradeability rank (>60%). This means the market is structurally trending with high activity.
Choppy (Magenta) : High entropy rank (>60%) and low tradeability rank (<40%). This is a mostly random, low-momentum market.
Neutral (Cyan) : All other cases. This covers mixed regimes not strongly trending or choppy.
The mode is shown as a colored bar at the bottom: green for trending, magenta for choppy, cyan for neutral.
Optimal Regime Signal : Separately, we mark an “optimal” condition when entropy_norm < 0.3 and tradeability > 0.7 (both normalized 0–1). When this is true, a ★ star appears on the bottom line. This star is colored white when truly optimal, gold when only tradeability is high (but entropy not quite low enough), and black when neither condition holds. This gives a quick visual cue for very favorable conditions.
What Makes MERV Stand Out
Holistic View : Unlike a single-oscillator, MERV combines trend, volatility, and cycle analysis in one tool. This multi-faceted approach is unique.
Visual Dashboard : The fixed on-chart dashboard (shown at your chosen corner) summarizes all metrics in bar/gauge form. Even a non-technical user can glance at it: more “█” blocks = a higher value, colors match the plots. This is more intuitive than raw numbers.
Adaptive Thresholds : Using percentile ranks means MERV auto-adjusts to each market’s character, rather than requiring fixed thresholds.
Cycle Insight : The rhythm plot adds information rarely found in indicators – it shows if there’s a repeating cycle (and its period in bars) and how strong it is. This can hint at natural bounce or reversal intervals.
Modern Look : The neon color scheme and glow effects make the lines easy to distinguish (blue/pink for entropy, green/orange for tradeability, etc.) and the filled area between them highlights when one dominates the other.
Recommended Timeframes
MERV can be applied to any timeframe, but it will be more reliable on higher timeframes. The default len_entropy = 50 and len_rhythm = 30 mean we use 30–50 bars of history, so on a daily chart that’s ~2–3 months of data; on a 1-hour chart it’s about 2–3 days. In practice:
Swing/Position traders might prefer Daily or 4H charts, where the calculations smooth out small noise. Entropy and cycles are more meaningful on longer trends.
Day trader s could use 15m or 1H charts if they adjust the inputs (e.g. shorter windows). This provides more sensitivity to intraday cycles.
Scalpers might find MERV too “slow” unless input lengths are set very low.
In summary, the indicator works anywhere, but the defaults are tuned for capturing medium-term trends. Users can adjust len_entropy and len_rhythm to match their chart’s volatility. The dashboard position can also be moved (top-left, bottom-right, etc.) so it doesn’t cover important chart areas.
How the Scoring/Logic Works (Step-by-Step)
Compute Entropy : A linear regression line is fit to the last len_entropy closes. We compute R² (goodness of fit). Entropy = 1 – R². So a strong straight-line trend gives low entropy; a flat/noisy set of points gives high entropy.
Compute Tradeability : We get ATR over len_entropy bars, normalize it by price (so it’s a fraction of price). We also calculate the regression slope (difference between the predicted close and last close). We scale |slope| by ATR to get a dimensionless measure. We average these (ATR% and slope%) to get tradeability_raw. This represents how big and directional price moves are.
Convert to Percentiles : Each new entropy and tradeability value is inserted into a rolling array of the last 50 values. We then compute the percentile rank of the current value in that array (0–100%) using a simple loop. This tells us where the current bar stands relative to history. We then divide by 100 to plot on .
Determine Modes and Signal : Based on these normalized metrics: if entropy < 0.4 and tradeability > 0.6 (40% and 60% thresholds), we set mode = Trending (1). If entropy > 0.6 and tradeability < 0.4, mode = Choppy (-1). Otherwise mode = Neutral (0). Separately, if entropy_norm < 0.3 and tradeability > 0.7, we set an optimal flag. These conditions trigger the colored mode bars and the star line.
Rhythm Detection : Every bar, if we have enough data, we take the last len_rhythm closes and compute the mean and standard deviation. Then for lags from 5 up to len_rhythm, we calculate a normalized autocorrelation coefficient. We track the lag that gives the maximum correlation (best match). This “best lag” divided by len_rhythm is plotted (a value between 0 and 1). Its color changes with the correlation strength. We also smooth the best correlation value over 5 bars to plot as “Cycle Strength” (also 0 to 1). This shows if there is a consistent cycle length in recent price action.
Heatmap (Optional) : The background color behind the oscillator panel can change with entropy. If “Neon Rainbow” style is on, low entropy is blue and high entropy is pink (via a custom color function), otherwise a classic green-to-red gradient can be used. This visually reinforces the entropy value.
Volume Regime (Dashboard Only) : We compute vol_norm = volume / sma(volume, len_entropy). If this is above 1.5, it’s considered high volume (neon orange); below 0.7 is low (blue); otherwise normal (green). The dashboard shows this as a bar gauge and percentage. This is for context only.
Oscillator Plot – How to Read It
The main panel (oscillator) has multiple colored lines on a 0–1 vertical scale, with horizontal markers at 0.2 (Low), 0.5 (Mid), and 0.8 (High). Here’s each element:
Entropy Line (Blue→Pink) : This line (and its glow) shows normalized entropy (0 = very low, 1 = very high). It is blue/green when entropy is low (strong trend) and pink/purple when entropy is high (choppy). A value near 0.0 (below 0.2 line) indicates a very well-defined trend. A value near 1.0 (above 0.8 line) means the market is very random. Watch for it dipping near 0: that suggests a strong trend has formed.
Tradeability Line (Green→Yellow) : This represents normalized tradeability. It is colored bright green when tradeability is low, transitioning to yellow as tradeability increases. Higher values (approaching 1) mean big moves and strong slopes. Typically in a market rally or crash, this line will rise. A crossing above ~0.7 often coincides with good trend strength.
Filled Area (Orange Shade) : The orange-ish fill between the entropy and tradeability lines highlights when one dominates the other. If the area is large, the two metrics diverge; if small, they are similar. This is mostly aesthetic but can catch the eye when the lines cross over or remain close.
Rhythm (Cycle) Line : This is plotted as (best_lag / len_rhythm). It indicates the relative period of the strongest cycle. For example, a value of 0.5 means the strongest cycle was about half the window length. The line’s color (green, orange, or pink) reflects how strong that cycle is (green = strong). If no clear cycle is found, this line may be flat or near zero.
Cycle Strength Line : Plotted on the same scale, this shows the autocorrelation strength (0–1). A high value (e.g. above 0.7, shown in green) means the cycle is very pronounced. Low values (pink) mean any cycle is weak and unreliable.
Mode Bars (Bottom) : Below the main oscillator, thick colored bars appear: a green bar means Trending Mode, magenta means Choppy Mode, and cyan means Neutral. These bars all have a fixed height (–0.1) and make it very easy to see the current regime.
Optimal Regime Line (Bottom) : Just below the mode bars is a thick horizontal line at –0.18. Its color indicates regime quality: White (★) means “Optimal Regime” (very low entropy and high tradeability). Gold (★) means not quite optimal (high tradeability but entropy not low enough). Black means neither condition. This star line quickly tells you when conditions are ideal (white star) or simply good (gold star).
Horizontal Guides : The dotted lines at 0.2 (Low), 0.5 (Mid), and 0.8 (High) serve as reference lines. For example, an entropy or tradeability reading above 0.8 is “High,” and below 0.2 is “Low,” as labeled on the chart. These help you gauge values at a glance.
Dashboard (Fixed Corner Panel)
MERV also includes a compact table (dashboard) that can be positioned in any corner. It summarizes key values each bar. Here is how to read its rows:
Entropy : Shows a bar of blocks (█ and ░). More █ blocks = higher entropy. It also gives a percentage (rounded). A full bar (10 blocks) with a high % means very chaotic market. The text is colored similarly (blue-green for low, pink for high).
Rhythm : Shows the best cycle period in bars (e.g. “15 bars”). If no calculation yet, it shows “n/a.” The text color matches the rhythm line.
Cycle Strength : Gives the cycle correlation as a percentage (smoothed, as shown on chart). Higher % (green) means a strong cycle.
Tradeability : Displays a 10-block gauge for tradeability. More blocks = more tradeable market. It also shows “gauge” text colored green→yellow accordingly.
Market Mode : Simply shows “Trending”, “Choppy”, or “Neutral” (cyan text) to match the mode bar color.
Volume Regime : Similar to tradeability, shows blocks for current volume vs. average. Above-average volume gives orange blocks, below-average gives blue blocks. A % value indicates current volume relative to average. This row helps see if volume is abnormally high or low.
Optimal Status (Large Row) : In bold, either “★ Optimal Regime” (white text) if the star condition is met, “★ High Tradeability” (gold text) if tradeability alone is high, or “— Not Optimal” (gray text) otherwise. This large row catches your eye when conditions are ripe.
In short, the dashboard turns the numeric state into an easy read: filled bars, colors, and text let you see current conditions without reading the plot. For instance, five blue blocks under Entropy and “25%” tells you entropy is low (good), and a row showing “Trending” in green confirms a trend state.
Real-Life Example
Example : Consider a daily chart of a trending stock (e.g. “AAPL, 1D”). During a strong uptrend, recent prices fit a clear upward line, so Entropy would be low (blue line near bottom, perhaps below the 0.2 line). Volatility and slope are high, so Tradeability is high (green-yellow line near top). In the dashboard, Entropy might show only 1–2 blocks (e.g. 10%) and Tradeability nearly full (e.g. 90%). The Market Mode bar turns green (Trending), and you might see a white ★ on the optimal line if conditions are very good. The Volume row might light orange if volume is above average during the rally. In contrast, imagine the same stock later in a tight range: Entropy will rise (pink line up, more blocks in dashboard), Tradeability falls (fewer blocks), and the Mode bar turns magenta (Choppy). No star appears in that case.
Consolidated Use Case : Suppose on XYZ stock the dashboard reads “Entropy: █░░░░░░░░ 20%”, “Tradeability: ██████████ 80%”, Mode = Trending (green), and “★ Optimal Regime.” This tells the trader that the market is in a strong, low-noise trend, and it might be a good time to follow the trend (with appropriate risk controls). If instead it reads “Entropy: ████████░░ 80%”, “Tradeability: ███▒▒▒▒▒▒ 30%”, Mode = Choppy (magenta), the trader knows the market is random and low-momentum—likely best to sit out until conditions improve.
Example: How It Looks in Action
Screenshot 1: Trending Market with High Tradeability (SOLUSD, 30m)
What it means:
The market is in a clear, strong trend with excellent conditions for trading. Both trend-following and active strategies are favored, supported by high tradeability and strong volume.
Screenshot 2: Optimal Regime, Strong Trend (ETHUSD, 1h)
What it means:
This is an ideal environment for trend trading. The market is highly organized, tradeability is excellent, and volume supports the move. This is when the indicator signals the highest probability for success.
Screenshot 3: Choppy Market with High Volume (BTC Perpetual, 5m)
What it means:
The market is highly random and choppy, despite a surge in volume. This is a high-risk, low-reward environment, avoid trend strategies, and be cautious even with mean-reversion or scalping.
Settings and Inputs
The script is fully open-source; here are key inputs the user can adjust:
Entropy Window (len_entropy) : Number of bars used for entropy and tradeability (default 50). Larger = smoother, more lag; smaller = more sensitivity.
Rhythm Window (len_rhythm ): Bars used for cycle detection (default 30). This limits the longest cycle we detect.
Dashboard Position : Choose any corner (Top Right default) so it doesn’t cover chart action.
Show Heatmap : Toggles the entropy background coloring on/off.
Heatmap Style : “Neon Rainbow” (colorful) or “Classic” (green→red).
Show Mode Bar : Turn the bottom mode bar on/off.
Show Dashboard : Turn the fixed table panel on/off.
Each setting has a tooltip explaining its effect. In the description we will mention typical settings (e.g. default window sizes) and that the user can move the dashboard corner as desired.
Oscillator Interpretation (Recap)
Lines : Blue/Pink = Entropy (low=trend, high=chop); Green/Yellow = Tradeability (low=quiet, high=volatile).
Fill : Orange tinted area between them (for visual emphasis).
Bars : Green=Trending, Magenta=Choppy, Cyan=Neutral (at bottom).
Star Line : White star = ideal conditions, Gold = good but not ideal.
Horizontal Guides : 0.2 and 0.8 lines mark low/high thresholds for each metric.
Using the chart, a coder or trader can see exactly what each output represents and make decisions accordingly.
Disclaimer
This indicator is provided as-is for educational and analytical purposes only. It does not guarantee any particular trading outcome. Past market patterns may not repeat in the future. Users should apply their own judgment and risk management; do not rely solely on this tool for trading decisions. Remember, TradingView scripts are tools for market analysis, not personalized financial advice. We encourage users to test and combine MERV with other analysis and to trade responsibly.
-BullByte
RRG RS-Ratio & Momentum – XLF, XLV, XLI vs SPY – Ion JaureguiRRG RS-Ratio & Momentum – XLF, XLV, XLI vs SPY – Ion Jauregui
📘 What does this script do?
This indicator simulates a Relative Rotation Graph (RRG), analyzing the sector rotation of three major U.S. market ETFs:
🟥 XLF – Financial Sector
🟦 XLV – Health Care Sector
🟩 XLI – Industrial Sector
Each is compared against SPY (S&P 500 ETF) as the benchmark.
⚙️ How does it work?
The script calculates two key RRG components:
RS-Ratio (Relative Strength Ratio):
Measures the strength of each sector relative to SPY.
Values above 100 = outperforming SPY
Values below 100 = underperforming SPY
Momentum of RS-Ratio:
Measures the change in RS-Ratio, helping to visualize rotation speed and direction.
These are computed using smoothed relative strength ratios and standard deviation over a user-defined period.
📈 What does it plot?
Colored lines representing the RS-Ratio of each sector versus SPY:
🔴 XLF (Financials)
🔵 XLV (Health Care)
🟢 XLI (Industrials)
Optionally, you can display Momentum as bar charts in a separate panel.
🧩 How to interpret the chart?
This tool helps visualize where each sector is in its relative strength cycle:
📈 Rising RS-Ratio + Positive Momentum → Sector is leading
📉 Falling RS-Ratio + Negative Momentum → Sector is weakening
Momentum shifts often signal early rotations before RS-Ratio reversals
🛠 Technical details:
Compatible with any timeframe (daily or weekly recommended)
🖊 Author:
Ion Jauregui – Analyst at ActivTrades
Designed to provide a visual and accessible approach to sector rotation versus SPY.
*******************************************************************************************
The information provided does not constitute investment research. The material has not been prepared in accordance with the legal requirements designed to promote the independence of investment research and such should be considered a marketing communication.
All information has been prepared by ActivTrades ("AT"). The information does not contain a record of AT's prices, or an offer of or solicitation for a transaction in any financial instrument. No representation or warranty is given as to the accuracy or completeness of this information.
Any material provided does not have regard to the specific investment objective and financial situation of any person who may receive it. Past performance and forecasting are not a synonym of a reliable indicator of future performance. AT provides an execution-only service. Consequently, any person acting on the information provided does so at their own risk. Political risk is unpredictable. Central bank actions can vary. Platform tools do not guarantee success.
INDICATORS RISK ADVICE: The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by ActivTrades. This script intends to help follow the trend and filter out market noise. This script is meant for the use of international users. This script is not meant for the use of Spain users.
Altcoin Season Index [by ADI]A version of the Altcoin Season Index script, based on the methodology from BlockchainCenter (Top 40 altcoins, 90-day window, 75% rule), using CoinMarketCap + 7CryptoRisen + 7Datawallet sources. The script compares the return of each selected altcoin against BTC and plots a percentage-based indicator.
List of supported altcoins
BINANCE:ETHUSDC
BINANCE:BNBUSDC
BINANCE:SOLUSDC
BINANCE:XRPUSDC
BINANCE:ADAUSDC
BINANCE:DOGEUSDC
BINANCE:AVAXUSDC
BINANCE:DOTUSDC
BINANCE:LINKUSDC
BINANCE:LTCUSDC
BINANCE:XLMUSDC
BINANCE:SUIUSDC
BINANCE:BCHUSDC
BINANCE:VETUSDC
BINANCE:BONKUSDC
BINANCE:TONUSDC
BINANCE:SHIBUSDC
BINANCE:PEPEUSDC
BINANCE:GALAUSDC
BINANCE:BOMEUSDC
BINANCE:WIFUSDC
BINANCE:AAVEUSDC
BINANCE:FLOKIUSDC
BINANCE:FETUSDC
BINANCE:NEARUSDC
BINANCE:ETCUSDC
BINANCE:MANTAUSDC
BINANCE:WLDUSDC
BINANCE:ONDOUSDC
BINANCE:JUPUSDC
BINANCE:APTUSDC
BINANCE:PENGUUSDC
BINANCE:ARBUSDC
BINANCE:BONKUSDC
BINANCE:ATOMUSDC
BINANCE:TRUMPUSDC
BINANCE:TIAUSDC
BINANCE:FILUSDC
BINANCE:RENDERUSDC
BINANCE:ATOMUSDC
Detailed Monthly Seasonality Table By TheNextronThe "Detailed Monthly Seasonality Table" script is a Pine Script v6 TradingView indicator designed to visually analyze monthly performance trends for any security. It computes and displays how price behaves month-by-month over a user-defined number of years, offering a clean, data-rich dashboard for evaluating seasonal trading patterns.
📊 Purpose:
To help traders identify which months tend to be bullish or bearish, and how consistently the price reacts during those months, based on historical closing prices.
🧩 Key Features:
✅ User Inputs
Years to Analyze: How many past years to include in the analysis (e.g., 5–20 years).
Result Display Options:
% Change or Point Change
Toggle to show absolute performance or color-coded gain/loss
📅 Monthly Analysis Logic
For each month (Jan to Dec), the script:
Gathers historical data year by year
Calculates monthly return based on selected price type
📋 Dashboard Output
A custom table on the chart showing:
Each month's average % return
Win rate
Number of times the month was positive (green) or negative (red)
BUY in HASH RibbonsHash Ribbons Indicator (BUY Signal)
A TradingView Pine Script v6 implementation for identifying Bitcoin miner capitulation (“Springs”) and recovery phases based on hash rate data. It marks potential low-risk buying opportunities by tracking short- and long-term moving averages of the network hash rate.
⸻
Key Features
• Hash Rate SMAs
• Short-term SMA (default: 30 days)
• Long-term SMA (default: 60 days)
• Phase Markers
• Gray circle: Short SMA crosses below long SMA (start of capitulation)
• White circles: Ongoing capitulation, with brighter white when the short SMA turns upward
• Yellow circle: Short SMA crosses back above long SMA (end of capitulation)
• Orange circle: Buy signal once hash rate recovery aligns with bullish price momentum (10-day price SMA crosses above 20-day price SMA)
• Display Modes
• Ribbons: Plots the two SMAs as colored bands—red for capitulation, green for recovery
• Oscillator: Shows the percentage difference between SMAs as a histogram (red for negative, blue for positive)
• Optional Overlays
• Bitcoin halving dates (2012, 2016, 2020, 2024) with dashed lines and labels
• Raw hash rate data in EH/s
• Alerts
• Configurable alerts for capitulation start, recovery, and buy signals
⸻
How It Works
1. Data Source: Fetches daily hash rate values from a selected provider (e.g., IntoTheBlock, Quandl).
2. Capitulation Detection: When the 30-day SMA falls below the 60-day SMA, miners are likely capitulating.
3. Recovery Identification: A rising 30-day SMA during capitulation signals miner recovery.
4. Buy Signal: Confirmed when the hash rate recovery coincides with a bullish shift in price momentum (10-day price SMA > 20-day price SMA).
⸻
Inputs
Hash Rate Short SMA: 30 days
Hash Rate Long SMA: 60 days
Plot Signals: On
Plot Halvings: Off
Plot Raw Hash Rate: Off
⸻
Considerations
• Timeframe: Best applied on daily charts to capture meaningful miner behavior.
• Data Reliability: Ensure the chosen hash rate source provides consistent, gap-free data.
• Risk Management: Use alongside other technical indicators (e.g., RSI, MACD) and fundamental analysis.
• Backtesting: Evaluate performance over different market cycles before live deployment.
TrendSurfer VF 3.4Questo è il mio Trend Surfer.
I triangoli indicano candele direzionali con vari livelli di volume all'interno da 1 a 10.
Per comodità vengono mostrati solo i livelli da 6 a 10.
Se la candela si trova nei pressi del VWAP ancorato il colore del numero sarà verde, ad indicare un'alta probabilità.
I cerchi invece si basano sull'oscillatore CCI (Commodity Channel Index).
L’indicatore CCI ci permette di osservare se il livello attuale del prezzo è particolarmente al di sopra o al di sotto di una certa media mobile, avente un numero di periodi scelto da noi.
Più la deviazione dal prezzo medio nel breve termine è forte, e maggiormente l’indicatore si allontanerà dallo 0: verso l’alto in caso di uptrend, o verso il basso in caso di downtrend.
Il segnale viene dato quando il valore del CCI supera la linea dello zero.
Il tutto è filtrato con un altro indicatore, il MACD, acronimo di "Moving Average Convergence Divergence", usato per identificare cambiamenti nel momentum del prezzo.
This is my Trend Surfer.
The triangles indicate directional candles with varying volume levels from 1 to 10.
For convenience, only levels 6 to 10 are shown.
If the candle is near the anchored VWAP, the color of the number will be green, indicating a high probability.
The circles, on the other hand, are based on the CCI (Commodity Channel Index) oscillator.
The CCI indicator allows us to observe whether the current price level is significantly above or below a certain moving average, with a number of periods chosen by us.
The greater the deviation from the short-term average price, the further the indicator will deviate from 0: upwards in the case of an uptrend, or downwards in the case of a downtrend.
The signal is given when the CCI value crosses the zero line.
This is all filtered through another indicator, the MACD, which stands for "Moving Average Convergence Divergence," used to identify changes in price momentum.
Alpha Trading AnalysisAlpha Trading Dashboard Analysis
- Candle Analysis
- Pivot Point and Fibonacci
- Bollinger band
STOCK SCHOOL | SWING TRACKER Swing Tracker is a powerful tool that automatically identifies Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL) directly on the chart, helping traders clearly understand market structure and trend direction. Designed for price action traders, it works seamlessly across all timeframes and instruments, offering clean visual labels for swing points to spot trend continuations or potential reversals. Whether you're following the trend or looking for structure shifts, Swing Tracker keeps you aligned with price action for smarter, more confident trading decisions.
Williams Alligator with Background ColoringThe Benefits of the Williams Alligator – Without the “Spaghetti” on Your Chart
If you're one of those traders who prefer a clean, well-structured chart but don't want to miss out on the advantages of the Williams Alligator, this script is the perfect solution.
It includes all the features of the original TradingView script plus a background color feature based on your custom parameters:
Green when all candles are above the Alligator lines
Red when all candles are below all lines
Gray for everything in between
Feel free to customize the colors and transparency to your liking.
Happy Trading!
Initial BalanceFirst hour Initial Balance is calculated automatically with IB range, type, status and target
Koala Trend HackWhat this indicator is
A minimal, “ tweet‑faithful ” trend read with just two visuals:
1. H4 EMA200 (white): the macro/regime line pulled onto any timeframe.
2. Trend Line (colored): the average of EMA‑8 and EMA‑21; its color shows the current state.
How it works (state → color)
Priority is macro first, then short‑term momentum—so it’s simple but still reactive above H4:
Below H4 200 → Red (Be Bearish).
Above H4 200 with wick into it → Yellow (Be Bullish & Pray / Watch the retest).
Above H4 200 and above both 8 & 21 → Green (Be Bullish).
Above H4 200 but below both 8 & 21 → Orange (Be Cautious).
If none of the above applies, it falls back to the 8/21 cluster (above both = green, below both = orange) or stays Yellow (Neutral/Watch).
How it aligns with the tweet’s 5 rules
1. Reclaim EMAs = Long → close > 8 & 21 → Green.
2. Close below EMAs = Be cautious* → close < 8 & 21 → Orange.
3. Retest of H4 EMA200 = Be bullish and pray → close > H4 and low ≤ H4 → Yellow.
4. Lose H4 EMA200 = Be bearish* → close < H4 → Red.
5. Reclaim H4 EMA200 = Be bullish again* → back above H4 (and ideally > 8/21) → Green.
How to use
Green favors longs; Orange means lighten up or wait; Yellow says “watch the level” after a retest; Red warns against longs until H4 200 is reclaimed.
Notes:
The H4 EMA200 is a higher‑timeframe value fetched with request.security; on sub‑H4 charts it updates during the current 4‑hour candle (responsive but can shift slightly until that candle closes).
EMAs 8 & 21 are used internally to color the line; they’re not plotted, keeping the chart clean.
What would make this better? Modify it and show me what you built!
kiwi 지표 통합 v6 MAX많이 사용하는 지표들을 하나의 지표로 만들었습니다.
주로 이동평균선을 기준으로 매매에 유용한 지표를 모았고
볼랜저밴드, 일목군형표를 하나의 지표로 만들었습니다.
특히, 캔들색이 한국 스타일을 원하는 사람에게 적합니다.
(빨간색 = 상승, 파란색 = 하락)
We made the most used indicators one indicator.
We collected indicators that are useful for trading mainly based on the moving average
The bolanger band and the Ilmok group table were made one indicator.
In particular, the candle color is written for those who want the Korean style.
(Red = Up, Blue = Down)