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
波動率
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)
kiwi 지표 통합 v6 MAX많이 사용하는 지료들을 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)
I made a lot of used materials as an 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)
HMM Trend Strength Meter (3-State)Strong Up-Trend: p_up > 0.6–0.7 → look for BUY setups
Strong Down-Trend: p_dn > 0.6–0.7 → look for SELL setups
Range/Sideways: p_side > 0.6 → consider mean-reversion entries
Adjust your own threshold (e.g. 0.7–0.8) to control signal frequency.
Delta Weighted Average Price (DWAP) @MaxMaserati 2.0MMM DWAP (Delta Weighted Average Price) - Trading Indicator Guide
Overview
The MMM DWAP (Delta Weighted Average Price) indicator analyzes volume-price relationships by incorporating buying and selling pressure (delta) to identify key support and resistance levels. This tool provides multi-timeframe analysis with momentum assessment and breakout detection capabilities.
Core Methodology
MMM DWAP calculates weighted average prices based on delta (buying vs selling pressure) rather than volume alone. This approach reveals where directional money flow creates sustainable support and resistance levels, providing traders with enhanced market analysis.
Key Innovation: Fair Value Magnetism
The market facilitates fair exchange between buyers and sellers. The indicator identifies dynamic fair value zones through delta-weighted cloud bands. Price tends to return to these levels, creating high-probability reaction points for trading decisions.
Technical Comparison
vs VWAP
- VWAP: Volume-weighted calculation showing where volume occurred
- MMM DWAP: Delta-weighted analysis revealing directional money flow with multi-timeframe integration
vs Moving Averages
- Moving Averages: Price-only calculation with inherent lag
- MMM DWAP: Real-time delta analysis providing delta-defended levels with market context
vs Bollinger Bands
- Bollinger Bands: Statistical volatility measures for squeeze detection
- MMM DWAP: Breakout prediction with confidence levels based on market pressure analysis
Visual Components
MMM DWAP Line (Orange): Primary fair value level based on delta weighting
Dynamic Cloud Bands: Overbought/oversold zones with fair value magnetism
Support/Resistance Lines: Multi-timeframe key levels with delta directional indicators
Squeeze Detection: Volatility compression alerts with breakout direction prediction
Analysis Table: Real-time consensus direction, momentum strength, and breakout predictions
Fair Value Zone Concept
Orange Line: Absolute Fair Value Price - the natural equilibrium level where price gravitates. Most important support/resistance level.
Price closed below the line
Price closed above the line
Upper Cloud = Bullish Fair Value Area (BuFV):
- When price is above Orange Line, Upper Cloud acts as support
- Price pullbacks to this zone create buying opportunities
- Represents fair value in bullish market conditions
Far Above Upper Cloud = "TOO HIGH" Zone:
- Price is overextended above fair value
- Overbought condition - likely to reverse DOWN to Upper Cloud (BuFV)
- Sell signal area or profit-taking zone for longs
Lower Cloud = Bearish Fair Value Area (BeFV):
- When price is below Orange Line, Lower Cloud acts as resistance
- Price rallies to this zone create selling opportunities
- Represents fair value in bearish market conditions
Far Below Lower Cloud = "TOO LOW" Zone:
- Price is overextended below fair value
- Oversold condition - likely to reverse UP to Lower Cloud (BeFV)
- Buy signal area or profit-taking zone for shorts
Rubber Band Effect:
- Upper Cloud (BuFV): If price stretches TOO FAR UP → snaps back DOWN to fair value area
- Lower Cloud (BeFV): If price stretches TOO FAR DOWN → snaps back UP to fair value area
Support & Resistance Intelligence
Resistance Line Behavior:
Red Arrow Down (R ↓):
- Bearish delta at resistance level
- Sellers are defending this resistance
- Strong selling pressure - price likely to reject downward
- Traditional resistance behavior - SELL zone
Green Arrow Up (R ↑):
- Bullish delta at resistance level
- Buyers are challenging this resistance
- Strong buying pressure pushing through
- Potential breakout signal - BUY zone
Support Line Behavior:
Green Arrow Up (S ↑):
- Bullish delta at support level
- Buyers are defending this support
- Strong buying interest - price likely to bounce up
- Traditional support behavior - BUY zone
Red Arrow Down (S ↓):
- Bearish delta at support level
- Sellers are overwhelming support
- Strong selling pressure breaking through
- Potential breakdown signal - SELL zone
When the arrow is → for the Support and Resistance line, it is a neutral state
4-Phase Breakout Cycle
Phase 1 - Normal Trading: Regular price movement with bands at normal width
Phase 2 - Band Tightening (SQUEEZE): Yellow diamonds appear as bands compress. Breakout direction prediction activates - early warning before the move.
Phase 3 - Balloon Formation: Bands expand outward, forming balloon shape around price. Preparation phase - volatility releasing but price still contained.
Phase 4 - Explosive Breakout: Price breaks decisively through expanded bands with volume surge and directional momentum. Execution phase.
Strategy Sequence:
- Tightening Phase = PREDICT (Get direction forecast)
- Balloon Phase = PREPARE (Confirm setup and position size)
- Breakout Phase = EXECUTE (Enter trade in predicted direction)
Trading Applications
Retest Strategy:
1. Identify trend bias through MMM DWAP line position
2. Monitor for breakouts above/below Orange Line
3. Wait for pullback to appropriate Fair Value zone (BuFV or BeFV)
4. Execute trades on reaction at fair value levels
High-Probability Setups:
- Bullish Breakout: Bullish consensus + Strong momentum + Resistance with strong buying delta
- Bearish Rejection: Bearish consensus + Strong momentum + Resistance with strong selling delta
- Support Bounce: Bullish consensus + Support with strong buying delta
Analysis Table Guide
Consensus Row: Overall market sentiment based on volume-weighted buying/selling pressure
- BULLISH: Look for long opportunities
- BEARISH: Look for short opportunities
Momentum Row: Current strength compared to recent average
- STRONG: High conviction moves - ride momentum
- WEAK: Low conviction moves - wait for better setups
Price Level Rows (R1, R2, S1, S2): Delta pressure at each level
- High positive delta = Buyers dominated (potential breakout level)
- High negative delta = Sellers dominated (potential rejection level)
Risk Management
- Stop Levels: Orange Line breaks or opposite band extremes
- Profit Targets: Opposite fair value zones
- Position Sizing: Based on momentum strength indicators
Technical Notes
- Delta Calculation: Bullish volume minus bearish volume for directional pressure
- Timeframe Independence: MMM DWAP and S/R levels can utilize different timeframes
- Squeeze Algorithm: Adaptive band width analysis for volatility compression
- Consensus Logic: Aggregate delta analysis across multiple price levels
- Fair Value Zones: Dynamic BuFV/BeFV adaptation based on Orange Line position
Note: This indicator combines volume-price analysis with order flow concepts. Effectiveness depends on market liquidity and proper application of fair value principles. Most effective setups occur when consensus direction, momentum strength, squeeze detection, and favorable delta history align.
Daily Status + ATR + MAAfter years of studying, analyzing markets, and thousands of hours of trial and error – I'm proud to present my new indicator for smarter and more precise trading!
🔍 What's inside?
✔️ Real-time daily status (percentage and monetary change)
✔️ ATR indicator to measure volatility
✔️ 150-period Moving Average for trend analysis
✔️ Smart signal system based on ATR + MA:
▪️ Strong / Weak Buy
▪️ Strong / Weak Sell
▪️ “No-Touch” zone detection
✔️ Clean and clear visual display directly on the chart, including company name, ticker, market cap, and timeframe (1D, 1W, etc.)
✔️ Built-in alerts to notify you when a strong buy signal is triggered – so you never miss an opportunity
🧠 Designed to provide quick and intelligent decisions at a glance, filtering out noise and focusing only on what matters.
💡 Suitable for both beginners and advanced traders – whether you're tracking stocks, crypto, or indices.
📈 Result: A chart that speaks your language – simple, focused, and powerful.
VWAP MultiCombined IntradayIncluded all VWAP in One for intraday purpose.
User will get S W M Q Y Decade Century Vwap at Single Combined.
This will helps to find levels who uses vwap on routine basis.
Nexalgo Volatility Plus🔧 Volatility Plus – Invite-Only Indicator
The Volatility Plus indicator combines ATR-based volatility metrics with trend strength measurements. It is designed to visualize market conditions related to volatility and trend dynamics.
🧠 Key Components:
ATR Calculation
Displays Average True Range to measure historical price volatility over a defined period.
Includes multiple smoothing options: RMA, SMA, EMA, WMA.
Trend Strength Analysis
Calculates trend momentum using a moving average.
Expresses directional bias and intensity as a percentage.
Volatility Visualization
Color-coded system for current volatility:
Green = low, Yellow = moderate, Red = high.
Dashboard Display
Positioned in the lower-right of the chart.
Shows real-time values for: ATR, ATR %, volatility class, and trend strength.
Uses a neutral background for readability.
⚙️ Customization:
ATR length, moving average type, and calculation period are adjustable.
Adaptable to multiple market styles and timeframes.
📝 Example Applications:
Monitoring volatility levels to observe changing market conditions
Comparing trend strength across timeframes
Supporting technical analysis frameworks with contextual metrics
⚠️ Disclaimer:
This indicator is a technical tool intended for analysis only. It does not provide financial advice, nor does it guarantee performance. Traders are responsible for their own decisions and risk management.
Combined Predictive Indicator### Combined Predictive Zones & Levels
This indicator is a powerful hybrid tool designed to provide a comprehensive map of potential future price action. It merges two distinct predictive models into a single, cohesive view, helping traders identify key levels of support, resistance, and areas of high confluence.
#### How It Works: Two Models in One
This script is built on two core components that you can use together or analyze separately:
**Part 1: Classic Range & Fibonacci Prediction**
This model uses classic technical analysis principles to project a potential range for the upcoming price action.
* **Highest High / Lowest Low:** It identifies the significant trading range over a user-defined lookback period.
* **Fibonacci Levels:** It automatically plots key Fibonacci retracement levels (e.g., 38.2% and 61.8%) within this range, which often act as critical support or resistance.
* **ATR & Average Range:** It calculates a "predicted" upper and lower boundary based on the average historical range and current volatility (ATR).
**Part 2: Advanced Predictive Ranges (Self-Adjusting Channels)**
This is a dynamic model that creates adaptive support and resistance zones based on a smoothed average price and volatility.
* **Dynamic Average:** It uses a unique moving average that only adjusts when the price moves significantly, creating a stable baseline.
* **ATR-Based Zones:** It projects multiple levels of support (S1, S2) and resistance (R1, R2) around this average, which widen and narrow based on market volatility. These zones often signal areas where price might stall or reverse.
#### Key Features:
* **Hybrid Model for Confluence:** The true power of this indicator lies in finding where the levels from both models overlap. A Fibonacci level aligning with a Predictive Range support zone is a much stronger signal.
* **Comprehensive Data Table:** A clean, on-chart table displays the precise values of all key predictive levels, allowing for quick reference and precise trade planning.
* **Multi-Timeframe (MTF) Capability:** The Advanced Predictive Ranges can be calculated on a higher timeframe, giving you a broader market context.
* **Fully Customizable:** All lengths, multipliers, and levels for both models are fully adjustable in the settings to fit any asset or trading style.
* **Clear Visuals:** All zones and levels are color-coded for intuitive and easy-to-read analysis.
#### How to Use:
1. Look for areas of **confluence** where multiple levels from both models cluster together. These are high-probability zones for price reactions.
2. Use the Predictive Range zones (S1/S2 and R1/R2) as potential targets for trades or as areas to watch for entries and exits.
3. Pay attention to the on-chart table for exact price levels to set limit orders or stop-losses.
**Disclaimer:** This script is an analytical tool for educational purposes and should not be considered financial advice. All trading involves risk. Past performance is not indicative of future results. Always use this indicator as part of a comprehensive trading strategy with proper risk management.
Feedback is welcome! If you find this tool useful, please leave a like.
[LeonidasCrypto]EMA with Volatility GlowEMA Volatility Glow - Advanced Moving Average with Dynamic Volatility Visualization
Overview
The EMA Volatility Glow indicator combines dual exponential moving averages with a sophisticated volatility measurement system, enhanced by dynamic visual effects that respond to real-time market conditions.
Technical Components
Volatility Calculation Engine
BB Volatility Curve: Utilizes Bollinger Band width normalized through RSI smoothing
Multi-stage Noise Filtering: 3-layer exponential smoothing algorithm reduces market noise
Rate of Change Analysis: Dual-timeframe RoC calculation (14/11 periods) processed through weighted moving average
Dynamic Normalization: 100-period lookback for relative volatility assessment
Moving Average System
Primary EMA: Default 55-period exponential moving average with volatility-responsive coloring
Secondary EMA: Default 100-period exponential moving average for trend confirmation
Trend Analysis: Real-time bullish/bearish determination based on EMA crossover dynamics
Visual Enhancement Framework
Gradient Band System: Multi-layer volatility bands using Fibonacci ratios (0.236, 0.382, 0.618)
Dynamic Color Mapping: Five-tier color system reflecting volatility intensity levels
Configurable Glow Effects: Customizable transparency and intensity settings
Trend Fill Visualization: Directional bias indication between moving averages
Key Features
Volatility States:
Ultra-Low: Minimal market movement periods
Low: Reduced volatility environments
Medium: Normal market conditions
High: Increased volatility phases
Extreme: Exceptional market stress periods
Customization Options:
Adjustable EMA periods
Configurable glow intensity (1-10 levels)
Variable transparency controls
Toggleable visual components
Customizable gradient band width
Technical Calculations:
ATR-based gradient bands with noise filtering
ChartPrime-inspired multi-layer fill system
Real-time volatility curve computation
Smooth color gradient transitions
Applications
Trend Identification: Dual EMA system for directional bias assessment
Volatility Analysis: Real-time market stress evaluation
Risk Management: Visual volatility cues for position sizing decisions
Market Timing: Enhanced visual feedback for entry/exit consideration
Daily ATR Stop Loss Buffer- Calculates Daily ATR: Uses the daily timeframe ATR (Average True Range) - a measure of price volatility
- Applies Your Buffer: Takes a percentage of that ATR that you set in the settings (e.g., 5% of daily ATR)
- Creates Stop Levels: Calculates where to place stop losses based on current price plus/minus your ATR buffer
Token Beta vs BTCWant to know how risky a crypto token is compared to Bitcoin?
It looks at the last 30 days of price data (you can change this number) for both the token you’re checking and Bitcoin. It calculates a number called beta, which tells you how much the token’s price swings compared to Bitcoin’s.
For example: If beta is 1.5, the token moves 1.5 times more than Bitcoin (pretty volatile!).
If beta is 0.8, it’s calmer than Bitcoin.
You set a “median beta” (default is 1.2), which is like a middle point for a group of tokens. The script checks if the token’s beta is higher than this median.
If it is, the token gets a score of 1 (meaning it’s riskier than average). If not, it gets a 0.
Table: A box pops up in the top-right corner of the chart, showing:
The token’s name (e.g., “SUIUSD”).
Its beta (e.g., “1.45”).
Its score (1 or 0, colored green for 1, red for 0).
Graphs: It draws a blue line for the beta value and a green bar graph for the score (1 or 0).
逆勢布林+RSI策略 for SOL可以直接套用到 SOLUSDT, SOLPERP, 或其他 SOL 合約。
在策略回測介面中選擇 5min 或 15min 看策略表現。
若要調整停利%或 RSI 數值，改變 rsi < 25 與 (shortEntryPrice - close) / shortEntryPrice >= 0.035 即可。
This can be directly applied to SOLUSDT, SOLPERP, or other SOL futures.
In the strategy backtesting interface, select 5-minute or 15-minute periods to view strategy performance.
To adjust the take-profit percentage or RSI value, set RSI < 25 and (shortEntryPrice - close) / shortEntryPrice >= 0.035.
Anti Nyangkut – Indikator Karya Anak Bangsa Anti Nyangkut – Indikator Karya Anak Bangsa
Indikator ini khusus buat kamu yang sering beli di pucuk dan jual di support, lalu akhirnya jadi bahan backtest orang lain.
💡 Sinyal buy only - muncul kalau harga udah:
✅ Di atas MA5
✅ Di atas Bollinger Bands Upper
✅ Di atas VWAP (khusus 1H & 4H)
🟢 TP dan SL otomatis muncul — biar gak cuma "niat hold sampe hijau"
📊 Cocok buat scalping & swing di 1H / 4H / 1D
Gak ada sinyal jual. Exit di tangan masing-nasing, jangan lupa pasang SL.
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100% gratis. Bayarnya pakai amal jariyah.
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Anti Nyangkut – An Indicator by the People, for the People
This one's for you if you always buy the top, sell the bottom, and end up becoming someone else's backtest data.
💡 Buy-Only Signals — triggered when price is:
✅ Above MA5
✅ Above Bollinger Bands Upper
✅ Above VWAP (on 1H & 4H only)
🟢 Auto TP & SL lines — so you stop saying "I'll hold until it turns green"
📊 Perfect for scalping & swing trades on 1H / 4H / 1D
There’s no sell signal. Exits are your responsibility — just don’t skip the stop loss.
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100% free. Just pay with good karma.
Average Period Range [Dova Lazarus]Average Period Range (APR)
🔹 Supports: 🗓️ D / 📅 W / 🗓️ M
🔹 Displays average range: ADR / AWR / AMR
🔹 Type: 📈 bullish / 📉 bearish
🔹 Adjustable count & length
🔹 Line color & style: 🎨 customizable
🔹 Pip-based 📏 range calculation
🔹 Levels: 30%–90% ➕ optional labels
🔹 Informative ⚙️ range markers
🔹 Versatile: works for intraday, swing & position trading
💡 Useful for volatility analysis, dynamic TP/SL zones, and range-based strategies.
Free Master Trend Navigator/ 趋势大师导航仪（免费版） by Mrlazycat趋势大师导航仪简单上手版使用说明
（这是一个简单版的趋势大师导航仪；如果需要趋势大师导航仪Pro版，可联系作者懒猫先生进行授权使用【推特联系：Jeffmo0769】）
(This is a simplified version of the Trend Master Navigator. For the Pro version, please contact Mr. Lazy Cat for authorization )
⚠ 非常重要，使用指标前请认真阅读这个使用说明
这是一个简单版的趋势大师导航仪
指标核心功能 本指标通过分析比特币的成交量、动能指标（MACD）、相对强弱指数（RSI）、趋势强度和成交量比率，生成在-1到1之间波动的趋势大师导航仪，帮助判断买卖时机。指标最佳适用场为4小时（4H）图表，适合1-2周的中短期交易。该趋势大师导航仪适用于BTC,ETH, DOGE等现货成交量大的虚拟货币
趋势曲线解读指南
① 市场状态（曲线颜色）
暗紫色：区间震荡市场
红色曲线：多头趋势
绿色曲线：空头趋势
② 关键信号区域
红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险
绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会
③ 锁定机制
对部分强多头趋势（红色）和强空头趋势（绿色）进行锁定：
如果趋势曲线突破红色区域（超买）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在0.7附近（原始曲线以灰色继续）。
如果趋势曲线跌破绿色区域（超卖）且市场趋势强度保持在强趋势或较强的弱趋势，趋势曲线会锁定在-0.7附近（原始曲线以灰色继续）。 这表示趋势可能继续发展，建议等待锁定期结束后再进行操作。
✅ 极端多头趋势的特殊案例：（如ETH在2025年7月10日到20日，趋势曲线一直维持红色，意味着多头趋势不变。但这段时间ETH的趋势曲线曾跌到超卖区，因此曲线曾在底部锁定3个K线的时间，这意味着是多头右侧追多的机会。）
交易信号
超买超卖信号+趋势判断
红色区域（超买）：趋势曲线 ≥ 0.6 时，可能出现回调风险，注意趋势变化
绿色区域（超卖）：趋势曲线 ≤ -0.615 时，可能出现反弹机会，注意趋势变化
使用注意事项
① 交易所推荐：同时使用币安(Binance)和OKX的BTC/USDT现货数据（不同交易所的量能差异可能影响信号准确性）。
② 特殊行情优化：已针对2024-2025年比特币ETF上市后的低波动行情调整参数，未来将持续根据市场变化优化。
③ 强趋势操作提示：当趋势曲线锁定在超买或超卖区，应减少逆势操作。
④ 首次使用建议：观察历史行情以验证信号特征，震荡市捕捉反转点，趋势市识别延续信号。
Trend Master Navigator (Simplified Version) User Guide
⚠ Important: Please read this guide carefully before using the indicator
This is a simplified version of the Trend Master Navigator.
Core Functionality This indicator analyzes Bitcoin's trading volume, MACD, RSI, trend strength, and volume ratio to generate the Trend Master Navigator, which oscillates between -1 and 1 to assist in buy/sell decisions. The indicator is best suited for 4-hour (4H) charts and is ideal for 1-2 week swing trading. The Trend Master Navigator is suitable for cryptocurrencies with high spot trading volumes, such as BTC, ETH, and DOGE.
Interpreting the Trend Curve
① Market States (Curve Colors) Dark Purple: Range-bound market Red Curve: Bullish trend Green Curve: Bearish trend
② Key Signal Zones Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity
③ Locking Mechanism During strong bullish (red) and strong bearish （green） trends, and partial weak trends:
If the trend curve breaks above the red zone (overbought) and the market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near 0.7 (original curve continues in gray).
If the trend curve breaks below the green zone (oversold) and the market trend strength remains in a strong trend or robust weak trend, the trend curve will lock near -0.7 (original curve continues in gray). This indicates that the trend may continue, and it is advisable to wait until the lock period ends before taking action. ✅ Example of extreme bullish trend: (e.g., ETH from July 10 to 20, 2025, where the trend curve remained red, indicating a persistent bullish trend. During this period, ETH's trend curve dipped into the oversold zone, locking the curve at the bottom for 3 K-line periods, signifying a right-side buying opportunity in the bullish trend.)
Trading Signals
Overbought/Oversold Signals + Trend Judgment
Red Zone (Overbought): Trend curve ≥ 0.6 → Potential pullback risk, pay attention to trend changes
Green Zone (Oversold): Trend curve ≤ -0.615 → Potential rebound opportunity, pay attention to trend changes
Usage Notes
① Exchange Recommendation: Use Binance and OKX BTC/USDT spot data simultaneously (volume discrepancies across different exchanges may affect signal accuracy).
② Special Market Optimization: Parameters have been adjusted for the low-volatility era following the Bitcoin ETF launch (2024-2025) and will continue to be optimized based on market changes.
③ Strong Trend Operation Tips: When the trend curve is locked in overbought or oversold zones, reduce counter-trend operations. ④ First Use Recommendation: Observe historical market trends to validate signal characteristics. Capture reversal points in range-bound markets and identify continuation signals in trending markets.
Contact on X: Jeffmo0769
The Gold Bot🥇 The Gold Bot — Precision Gold Trading System
The Gold Bot is an elite trading strategy specifically engineered for gold markets, combining institutional-grade risk management with sophisticated price action analysis. This professional-level system is designed for serious traders seeking consistent performance in one of the world's most volatile and liquid precious metals markets.
💎 Premium Features:
Gold-Optimized Algorithms : Proprietary signal processing specifically calibrated for gold's unique price behavior and volatility patterns
Multi-Layer Risk Management : Advanced position sizing with intelligent adaptation based on recent performance and market conditions
Session-Focused Trading : Targets optimal gold trading windows when institutional volume and volatility create the best opportunities
Automated Position Protection : Comprehensive exit system featuring stop losses, take profits, and dynamic trailing stops
Professional Risk Controls : Multiple safety mechanisms including daily trade limits and automatic position closure protocols
⚙️ Institutional-Grade Architecture:
The Gold Bot employs advanced smoothing techniques and momentum analysis specifically tuned for gold futures and spot markets. Its sophisticated position sizing algorithm adapts to market performance, while multiple safety layers ensure disciplined execution and capital preservation under all market conditions.
🎯 Advanced Capabilities:
Tick-precise calculations optimized for gold instruments
Intelligent contract sizing with performance-based adjustments
Automated daily position management and risk reset protocols
Session-aware trading to avoid low-liquidity periods
Emergency exit protocols for exceptional market conditions
🏅 Designed For:
Gold specialists seeking systematic trading approaches
Professional traders focusing on precious metals markets
Those requiring sophisticated position sizing algorithms
Traders seeking automated gold session optimization
Serious investors wanting institutional-level risk management
🛡️ Risk Management Excellence:
Dynamic trailing stop system for profit maximization
Adaptive position sizing based on recent performance
Automatic daily trade limits and exposure controls
Professional-grade emergency exit mechanisms
Session-filtered trading to optimize market timing
⏰ Market Timing Precision:
The Gold Bot includes sophisticated session management designed to capture gold's most profitable trading hours while automatically closing positions before market close to avoid overnight exposure risks commonly associated with precious metals trading.
🔧 Professional Configuration:
Offers essential customization options for different account sizes and risk tolerances while maintaining core algorithmic integrity through hardcoded optimization parameters developed specifically for gold market characteristics.
Risk Warning: Gold trading involves significant price volatility and market risk. This strategy includes adaptive position sizing features that may increase exposure after losses. Thoroughly backtest and understand all risk parameters before live implementation. Past performance does not guarantee future results.
VIX9D to VIX RatioVIX9D to VIX Ratio
The ratio > 1 can signal near-term fear > long-term fear (potential short-term stress).
The ratio < 1 implies long-term implied volatility is higher — more typical in calm markets.
ADR Tracker Version 2Description
The **ADR Tracker** plots a customizable panel on your chart that monitors the Average Daily Range (ADR) and shows how today’s price action compares to that average. It calculates the daily high–low range for each of the past 14 days (can be adjusted) and then takes a simple moving average of those ranges to determine the ADR.
**Features:**
* **Current ADR value:** Shows the 14‑day ADR in price units.
* **ADR status:** Indicates whether today’s range has reached or exceeded the ADR.
* **Ticks remaining:** Calculates how many minimum price ticks remain before the ADR would be met.
* **Real‑time tracking:** Monitors the intraday high and low to update the range continuously.
* **Customizable panel:** Uses TradingView’s table object to display the information. You can set the table’s horizontal and vertical position (top/middle/bottom and left/centre/right) with inputs. The script also lets you change the text and background colours, as well as the width and height of each row. Table cells use explicit width and height percentages, which Pine supports in v6. Each call to `table.cell()` defines the text, colours and dimensions for its cell, so the panel resizes automatically based on your settings.
**Usage:**
Apply the indicator to any chart. For the most accurate real‑time tracking, use it on intraday timeframes (e.g. 5‑min or 1‑hour) so the current day’s range updates as new bars arrive. Adjust the inputs in the settings panel to reposition the list or change its appearance.
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This description explains what the indicator does and highlights its customizable table display, referencing the Pine Script table features used.
Market DashboardMarket Dashboard — All-in-One Technical Indicator Panel
The Market Dashboard is a powerful visual tool that consolidates key technical indicators into a single on-chart table, helping traders make faster and more informed decisions. This script includes:
RSI — Detects overbought and oversold market conditions
MACD — Shows trend momentum and crossover signals
CVD (Cumulative Volume Delta) — Highlights buyer vs. seller pressure
Volume Analysis — Flags unusually high volume
ATR (Average True Range) — Displays current market volatility
Session Detector — Automatically identifies ASIAN, LONDON, or NEW YORK sessions based on UTC time
Fully Customizable — Adjust table position and text size to fit your chart layout
Designed for traders who want a clean, real-time snapshot of market dynamics, directly on the chart.
[FRK] Volatility-Adjusted Mean Reversion 🎯 What It Does :
- Spots when price has moved "too far" from average
- Adjusts for how jumpy/calm the market is right now
- Gives you better signals than simple oscillators
⚙️ Every Setting Explained:
- MA Length (9): How many bars for the "center line"
- Volatility Length (20): How many bars to measure "jumpiness"
- Threshold (0.04): When to actually signal you
- Price Input (Close): Which price to use
- MA Type (SMA): How to calculate the average
- Vol Multiplier (10.0): Just visual scaling
📊 Visual Guide:
- Blue line above red dotted = Price too high, expect drop
- Blue line below green dotted = Price too low, expect bounce
- Background colors = Active signals
- Table = Current stats and history
🧮 Simple Formula:
Signal = (Price - Average) ÷ Average ÷ (Volatility × 10)
When Signal > 0.04 or < -0.04 → Trade signal!
// ⚠️ IMPORTANT TRADING WARNING:
// DO NOT TRADE ON THIS SIGNAL ALONE! This is a confluence tool that helps you:
// • Understand current volatility vs historical levels
// • Get a "feel" for how extended current price moves are
// • Confirm other trading setups with volatility context
// • See when market is unusually calm or wild
[DIP] Inverse BB HighlightThis indicator allows you to highlight the area outside of the Bollinger Bands in order to draw more attention to it. This is especially useful for those who only trade when we are outside of the bands.
Keep in mind this indicator only works on bars, not on candles.
Supertrend AT v1.0### Overview
"Supertrend AT v1.0" is an automated trading strategy based on the Supertrend indicator, designed to detect trend reversals and execute entries accordingly. This script supports both **long and short** positions and includes customizable risk management features such as **RPT (Risk Per Trade)** and **RR (Risk/Reward ratio)**.
### Key Features
- 📈 **Supertrend-based Entry Logic**:
- Enters a **long position** when the Supertrend flips from red to green (downtrend → uptrend).
- Enters a **short position** when the Supertrend flips from green to red (uptrend → downtrend).
- 💰 **Auto-Calculated Position Sizing**:
- Quantity is automatically calculated to ensure that loss per trade (including commission) matches the specified risk percentage (RPT).
- 🎯 **Take-Profit and Stop-Loss**:
- Both targets are dynamically computed using the RR ratio and account for commission fees.
- 📊 **Visual Elements**:
- Entry, stop, and target prices are plotted on the chart.
- Real-time PnL and account equity are shown in a dashboard.
- Optional on-screen README guide explains the strategy and key terms.
### Inputs
- **RPT (%)**: Risk per transaction (based on account equity).
- **RR**: Reward-to-risk ratio.
- **Commission (%)**: Used in all calculations (must match the Properties tab).
- **Supertrend Settings**: Adjustable factor and length.
- **Market Decimal Places**: For accurate quantity rounding according to exchange rules.
- **Time Filter**: Set start and end time for trading logic activation.
### Risk Management Logic
This strategy calculates trade size and targets using a formula that considers both the price distance between entry and stop-loss and the effect of commission fees. This ensures:
- Consistent risk across trades
- Realistic take-profit levels
- Exchange-compliant order quantities
### Notes
- ⚠️ Be sure to set the **correct commission rate** and **decimal precision** for your exchange.
- ⚠️ If trade quantity is smaller than your exchange’s minimum unit, orders may be rejected.
- 🔧 For strategy to behave as intended in automation, double-check both **input tab** and **Properties tab** settings.
### Disclaimer
This strategy is for educational and research purposes only. It does not constitute financial advice. Always test on paper before using in a live environment.
