Volatility Risk PremiumTHE INSURANCE PREMIUM OF THE STOCK MARKET
Every day, millions of investors face a fundamental question that has puzzled economists for decades: how much should protection against market crashes cost? The answer lies in a phenomenon called the Volatility Risk Premium, and understanding it may fundamentally change how you interpret market conditions.
Think of the stock market like a neighborhood where homeowners buy insurance against fire. The insurance company charges premiums based on their estimates of fire risk. But here is the interesting part: insurance companies systematically charge more than the actual expected losses. This difference between what people pay and what actually happens is the insurance premium. The same principle operates in financial markets, but instead of fire insurance, investors buy protection against market volatility through options contracts.
The Volatility Risk Premium, or VRP, measures exactly this difference. It represents the gap between what the market expects volatility to be (implied volatility, as reflected in options prices) and what volatility actually turns out to be (realized volatility, calculated from actual price movements). This indicator quantifies that gap and transforms it into actionable intelligence.
THE FOUNDATION
The academic study of volatility risk premiums began gaining serious traction in the early 2000s, though the phenomenon itself had been observed by practitioners for much longer. Three research papers form the backbone of this indicator's methodology.
Peter Carr and Liuren Wu published their seminal work "Variance Risk Premiums" in the Review of Financial Studies in 2009. Their research established that variance risk premiums exist across virtually all asset classes and persist over time. They documented that on average, implied volatility exceeds realized volatility by approximately three to four percentage points annualized. This is not a small number. It means that sellers of volatility insurance have historically collected a substantial premium for bearing this risk.
Tim Bollerslev, George Tauchen, and Hao Zhou extended this research in their 2009 paper "Expected Stock Returns and Variance Risk Premia," also published in the Review of Financial Studies. Their critical contribution was demonstrating that the VRP is a statistically significant predictor of future equity returns. When the VRP is high, meaning investors are paying substantial premiums for protection, future stock returns tend to be positive. When the VRP collapses or turns negative, it often signals that realized volatility has spiked above expectations, typically during market stress periods.
Gurdip Bakshi and Nikunj Kapadia provided additional theoretical grounding in their 2003 paper "Delta-Hedged Gains and the Negative Market Volatility Risk Premium." They demonstrated through careful empirical analysis why volatility sellers are compensated: the risk is not diversifiable and tends to materialize precisely when investors can least afford losses.
HOW THE INDICATOR CALCULATES VOLATILITY
The calculation begins with two separate measurements that must be compared: implied volatility and realized volatility.
For implied volatility, the indicator uses the CBOE Volatility Index, commonly known as the VIX. The VIX represents the market's expectation of 30-day forward volatility on the S&P 500, calculated from a weighted average of out-of-the-money put and call options. It is often called the "fear gauge" because it rises when investors rush to buy protective options.
Realized volatility requires more careful consideration. The indicator offers three distinct calculation methods, each with specific advantages rooted in academic literature.
The Close-to-Close method is the most straightforward approach. It calculates the standard deviation of logarithmic daily returns over a specified lookback period, then annualizes this figure by multiplying by the square root of 252, the approximate number of trading days in a year. This method is intuitive and widely used, but it only captures information from closing prices and ignores intraday price movements.
The Parkinson estimator, developed by Michael Parkinson in 1980, improves efficiency by incorporating high and low prices. The mathematical formula calculates variance as the sum of squared log ratios of daily highs to lows, divided by four times the natural logarithm of two, times the number of observations. This estimator is theoretically about five times more efficient than the close-to-close method because high and low prices contain additional information about the volatility process.
The Garman-Klass estimator, published by Mark Garman and Michael Klass in 1980, goes further by incorporating opening, high, low, and closing prices. The formula combines half the squared log ratio of high to low prices minus a factor involving the log ratio of close to open. This method achieves the minimum variance among estimators using only these four price points, making it particularly valuable for markets where intraday information is meaningful.
THE CORE VRP CALCULATION
Once both volatility measures are obtained, the VRP calculation is straightforward: subtract realized volatility from implied volatility. A positive result means the market is paying a premium for volatility insurance. A negative result means realized volatility has exceeded expectations, typically indicating market stress.
The raw VRP signal receives slight smoothing through an exponential moving average to reduce noise while preserving responsiveness. The default smoothing period of five days balances signal clarity against lag.
INTERPRETING THE REGIMES
The indicator classifies market conditions into five distinct regimes based on VRP levels.
The EXTREME regime occurs when VRP exceeds ten percentage points. This represents an unusual situation where the gap between implied and realized volatility is historically wide. Markets are pricing in significantly more fear than is materializing. Research suggests this often precedes positive equity returns as the premium normalizes.
The HIGH regime, between five and ten percentage points, indicates elevated risk aversion. Investors are paying above-average premiums for protection. This often occurs after market corrections when fear remains elevated but realized volatility has begun subsiding.
The NORMAL regime covers VRP between zero and five percentage points. This represents the long-term average state of markets where implied volatility modestly exceeds realized volatility. The insurance premium is being collected at typical rates.
The LOW regime, between negative two and zero percentage points, suggests either unusual complacency or that realized volatility is catching up to implied volatility. The premium is shrinking, which can precede either calm continuation or increased stress.
The NEGATIVE regime occurs when realized volatility exceeds implied volatility. This is relatively rare and typically indicates active market stress. Options were priced for less volatility than actually occurred, meaning volatility sellers are experiencing losses. Historically, deeply negative VRP readings have often coincided with market bottoms, though timing the reversal remains challenging.
TERM STRUCTURE ANALYSIS
Beyond the basic VRP calculation, sophisticated market participants analyze how volatility behaves across different time horizons. The indicator calculates VRP using both short-term (default ten days) and long-term (default sixty days) realized volatility windows.
Under normal market conditions, short-term realized volatility tends to be lower than long-term realized volatility. This produces what traders call contango in the term structure, analogous to futures markets where later delivery dates trade at premiums. The RV Slope metric quantifies this relationship.
When markets enter stress periods, the term structure often inverts. Short-term realized volatility spikes above long-term realized volatility as markets experience immediate turmoil. This backwardation condition serves as an early warning signal that current volatility is elevated relative to historical norms.
The academic foundation for term structure analysis comes from Scott Mixon's 2007 paper "The Implied Volatility Term Structure" in the Journal of Derivatives, which documented the predictive power of term structure dynamics.
MEAN REVERSION CHARACTERISTICS
One of the most practically useful properties of the VRP is its tendency to mean-revert. Extreme readings, whether high or low, tend to normalize over time. This creates opportunities for systematic trading strategies.
The indicator tracks VRP in statistical terms by calculating its Z-score relative to the trailing one-year distribution. A Z-score above two indicates that current VRP is more than two standard deviations above its mean, a statistically unusual condition. Similarly, a Z-score below negative two indicates VRP is unusually low.
Mean reversion signals trigger when VRP reaches extreme Z-score levels and then shows initial signs of reversal. A buy signal occurs when VRP recovers from oversold conditions (Z-score below negative two and rising), suggesting that the period of elevated realized volatility may be ending. A sell signal occurs when VRP contracts from overbought conditions (Z-score above two and falling), suggesting the fear premium may be excessive and due for normalization.
These signals should not be interpreted as standalone trading recommendations. They indicate probabilistic conditions based on historical patterns. Market context and other factors always matter.
MOMENTUM ANALYSIS
The rate of change in VRP carries its own information content. Rapidly rising VRP suggests fear is building faster than volatility is materializing, often seen in the early stages of corrections before realized volatility catches up. Rapidly falling VRP indicates either calming conditions or rising realized volatility eating into the premium.
The indicator tracks VRP momentum as the difference between current VRP and VRP from a specified number of bars ago. Positive momentum with positive acceleration suggests strengthening risk aversion. Negative momentum with negative acceleration suggests intensifying stress or rapid normalization from elevated levels.
PRACTICAL APPLICATION
For equity investors, the VRP provides context for risk management decisions. High VRP environments historically favor equity exposure because the market is pricing in more pessimism than typically materializes. Low or negative VRP environments suggest either reducing exposure or hedging, as markets may be underpricing risk.
For options traders, understanding VRP is fundamental to strategy selection. Strategies that sell volatility, such as covered calls, cash-secured puts, or iron condors, tend to profit when VRP is elevated and compress toward its mean. Strategies that buy volatility tend to profit when VRP is low and risk materializes.
For systematic traders, VRP provides a regime filter for other strategies. Momentum strategies may benefit from different parameters in high versus low VRP environments. Mean reversion strategies in VRP itself can form the basis of a complete trading system.
LIMITATIONS AND CONSIDERATIONS
No indicator provides perfect foresight, and the VRP is no exception. Several limitations deserve attention.
The VRP measures a relationship between two estimates, each subject to measurement error. The VIX represents expectations that may prove incorrect. Realized volatility calculations depend on the chosen method and lookback period.
Mean reversion tendencies hold over longer time horizons but provide limited guidance for short-term timing. VRP can remain extreme for extended periods, and mean reversion signals can generate losses if the extremity persists or intensifies.
The indicator is calibrated for equity markets, specifically the S&P 500. Application to other asset classes requires recalibration of thresholds and potentially different data sources.
Historical relationships between VRP and subsequent returns, while statistically robust, do not guarantee future performance. Structural changes in markets, options pricing, or investor behavior could alter these dynamics.
STATISTICAL OUTPUTS
The indicator presents comprehensive statistics including current VRP level, implied volatility from VIX, realized volatility from the selected method, current regime classification, number of bars in the current regime, percentile ranking over the lookback period, Z-score relative to recent history, mean VRP over the lookback period, realized volatility term structure slope, VRP momentum, mean reversion signal status, and overall market bias interpretation.
Color coding throughout the indicator provides immediate visual interpretation. Green tones indicate elevated VRP associated with fear and potential opportunity. Red tones indicate compressed or negative VRP associated with complacency or active stress. Neutral tones indicate normal market conditions.
ALERT CONDITIONS
The indicator provides alerts for regime transitions, extreme statistical readings, term structure inversions, mean reversion signals, and momentum shifts. These can be configured through the TradingView alert system for real-time monitoring across multiple timeframes.
REFERENCES
Bakshi, G., and Kapadia, N. (2003). Delta-Hedged Gains and the Negative Market Volatility Risk Premium. Review of Financial Studies, 16(2), 527-566.
Bollerslev, T., Tauchen, G., and Zhou, H. (2009). Expected Stock Returns and Variance Risk Premia. Review of Financial Studies, 22(11), 4463-4492.
Carr, P., and Wu, L. (2009). Variance Risk Premiums. Review of Financial Studies, 22(3), 1311-1341.
Garman, M. B., and Klass, M. J. (1980). On the Estimation of Security Price Volatilities from Historical Data. Journal of Business, 53(1), 67-78.
Mixon, S. (2007). The Implied Volatility Term Structure of Stock Index Options. Journal of Empirical Finance, 14(3), 333-354.
Parkinson, M. (1980). The Extreme Value Method for Estimating the Variance of the Rate of Return. Journal of Business, 53(1), 61-65.
Volatilità
Kurtosis with Skew Crossover Focused OscillatorDescription:
This indicator highlights Skewness/Kurtosis crossovers for short-term trading:
Green upward arrows: Skew crosses above Kurtosis → potential long signal.
Red downward arrows: Skew crosses below Kurtosis → potential short signal.
Yellow upward arrows: Extreme negative skew (skew ≤ -1.7) → potential oversold/reversal opportunity.
Oscillator Pane:
Orange = Skewness (smoothed)
Blue = Kurtosis (adjusted, smoothed)
Zero line = visual reference
Usage:
Primarily for 2–5 minute charts, highlighting statistical anomalies and potential short-term reversals that can be used in conjunction with OBV and/or CVD
Arrows signal potential entries based on skew/kurt dynamics.
Potential ideas???????
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Add Supporting Market Context
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Currently, signals are purely based on skew/kurt crossovers. Adding supporting indicators could improve reliability:
Volume / CVD: Identify when crossovers occur with real buying/selling pressure.
Wick Imbalance: Detect forced moves in price structure.
Volatility Regime (Parkinson / ATR): Filter signals during high volatility spikes or compressions.
Experimentation: Try weighting these supporting signals to dynamically confirm or filter skew/kurt crossovers and see if false signals decrease on 2–5 minute charts.
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Dynamic Thresholds & Scaling
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Right now, the extreme skew signal is triggered at a fixed level (skew ≤ -1.7). Future improvements could include:
Adaptive thresholds: Scale extreme skew levels based on recent standard deviation or intraday volatility.
Kurtosis thresholds: Introduce a cutoff for kurtosis to identify “fat-tail” events.
Experimentation: Backtest different adaptive thresholds for both skew and kurt, and see how it affects the precision vs. frequency of signals.
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Multi-Timeframe or Combined Oscillator
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Skew/kurt signals could be combined across multiple intraday timeframes (e.g., 1-min, 3-min, 5-min) to improve confirmation.
Create a composite oscillator that blends short-term and slightly longer-term skew/kurt values to reduce noise.
Experimentation: Compare a single timeframe approach vs multi-timeframe composite, and measure signal reliability and lag.
I'm leaving this open so anyone can experiment with it as this project may be on the backburner, but these are my thoughts so far
ZLBD Lite - Free Version🆓 ZLBD Lite - Smart Bounce Detector (Free Version)
This is the free version of our professional ZLBD Pro indicator.
Designed to help traders identify high-probability reversal zones using Smart Money Concepts.
✨ FREE FEATURES:
• Basic Buy/Sell Signals: Identifies potential reversals.
• Demand & Supply Zones: Automatically draws key support/resistance blocks.
• Anti-Repetition Filter: Reduces signal noise.
• Simple Dashboard: Tracks active zones.
🚫 LIMITATIONS (Lite Version):
❌ No Signal Strength Meter (0-100%)
❌ No Market Trend Detection
❌ No FVG (Fair Value Gaps)
❌ No Session Timing
❌ Limited Zone History
🔓 UNLOCK FULL POWER (ZLBD PRO):
Upgrade to the PRO version to get:
✅ Real-time 0-100% Strength Meter
✅ Advanced Trend Filter (Strong/Medium/Weak)
✅ Full FVG Detection
✅ VIP Telegram Access
✅ Personal Support
🚀 HOW TO UPGRADE:
Contact us on Telegram: @ZlbdPro_Support
💡 HOW TO USE (Lite):
1. Wait for a Green Zone (Demand) to form.
2. Look for a 🟢 BUY triangle.
3. Confirm with your own analysis.
4. Target the next Red Zone (Supply).
👍 Boost & Follow for updates!
QuantMotions - TPR SentinelQuantMotions – TPR Sentinel
The TPR Sentinel Band is a full trade-assistant for discretionary traders.
It combines an adaptive trend engine, directional TPR logic, volume intelligence, ATR-based risk management, a brute-force parameter optimizer, and a modern on-chart UI (entries/TP/SL panel + stats). The goal: fewer fake flips, clearer trend shifts, and visually guided trade management.
1. Core Concept
The Sentinel Line is built from a blend of:
- SMA + EMA
- Midline of highest/lowest high/low (Kijun-style)
- Donchian-style mid close
On top of that, the script calculates a Directional TPR (Time-Price-Ratio):
- Short / medium / long slopes of price
- Normalized by ATR
- Converted into a trend state:
+1 = Uptrend
-1 = Downtrend
0 = Neutral / transition
Hysteresis (Flux) controls how easily the trend flips:
- Higher hysteresis → harder to reverse → fewer fake-outs in chop.
2. Signals, Filters & Volume Intelligence
Signals
- Trend Flip Long: TrendState changes from −1/0 → +1.
- Trend Flip Short: TrendState changes from +1/0 → −1.
Filters
- ADX Filter (optional):
- Only allows trades if ADX is above a chosen threshold.
- Avoids trading in flat, low-energy markets.
R:R Filter:
- Before any signal is accepted, the script checks whether the distance to TP1 is at least the configured Risk:Reward ratio relative to the distance to SL.
- Only if that minimum R:R is reached, a signal becomes valid.
Volume Intelligence & Clouds
- Aggregates up/down volume (optionally across multiple tickers you define).
- Builds Volume Clouds around the Sentinel Line:
a) Positive intensity → buying pressure (bullish cloud).
b) Negative intensity → selling pressure (bearish cloud).
Optional Volume Direction Filter:
- Long only when volume intensity ≥ 0.
- Short only when volume intensity ≤ 0.
3. Risk, Exits & Trailing Stop
The indicator includes a complete exit framework (for visual/manual trading):
Stop Loss Modes
- ATR Fixed: SL placed at a fixed ATR multiple from the entry.
- Trend Line (Dynamic): SL placed directly on the Sentinel Band (structural stop).
Take Profits
- TP1 – “safe target”:
a) Based on ATR distance.
b) Closes a configurable percentage of the position (e.g., 50%).
- TP2 (optional):
Second fixed target used only when Trailing Stop is OFF.
- Trend Runner Mode (Use TP = OFF):
Ignores fixed TP levels and rides the trend until the trend state flips.
Trailing Stop
- Activates after TP1 is hit (if enabled).
- Moves with price at a configurable ATR distance:
a) Long: trail creeps up under price.
b) Short: trail creeps down above price.
- Visually plotted as a purple trail line, dynamically replacing the original SL as the effective exit point.
Each trade is tracked internally and drawn as a green/red box with PnL labels between entry and exit.
4. UI & Stats
Candle Coloring (TRON Theme)
- Cyan = active uptrend & valid environment.
- Orange = active downtrend & valid environment.
Modern Trade Panel (on last bar)
- Live overlay of:
a) Entry
b) TP1
c) TP2
d) SL or active Trail (with dynamic label text: “SL (ATR)”, “SL (Struct)”, “TRAIL”)
Info label shows:
- Historical win rate in the current direction (Long/Short).
- Distance to SL, TP1, TP2 from current price.
- Box color blends from red → green depending on whether price is closer to SL or TP.
Stats Table (Bottom Right)
- Separate stats for Long and Short trades:
a) Win rate (%)
b) Cumulative PnL
Alerts
- Generates JSON alerts on signals, for example: {"side":"buy","ticker":"XYZ","price":123.45}
Perfect for webhooks, bots, or external automation.
5. Brute Force Optimizer (TPR Lab) – Important Limitations
The built-in Optimizer is a numerical helper, not a full strategy optimizer.
What it does:
- Runs brute-force simulations over a sliding window of historical data.
- Scans user-defined ranges for:
- Best Period (“Best Cycle”)
- Best Hysteresis (“Best Flux”)
Uses an efficiency score (average profit per trade) to rank combinations.
Displays results in the bottom-left TRON panel:
- Best Cycle
- Best Hysteresis
- Efficiency Score
What it does NOT optimize or take into account:
- It does not include your actual minimum R:R filter.
- It does not simulate or optimize your Stop Loss modes.
- It does not simulate Trailing Stops.
- It does not use the ADX filter.
- It does not use the Volume filters or Volume Clouds.
Because of this, the suggested “best” Period and Hysteresis are purely computational recommendations based on a simplified internal model.
In real trading, with your full setup (R:R filter, SL mode, Trailing, ADX, Volume confirmation, personal style), other parameter combinations can be superior to what the Optimizer suggests.
You should treat the Optimizer as:
A starting point or a research tool, not the final truth.
Always validate its suggestions visually, in the context of your full system and risk management.
6. Practical Usage
- Works on FX, indices, crypto, commodities – anything with decent liquidity.
- Scalping → use lower Period values, higher responsiveness.
- Swing → use higher Period values, more stability.
Recommended:
- Keep ADX filter ON to avoid dead markets.
- Use Volume Clouds as directional bias.
- Use the Info Panel and Stats to align with your own R:R and risk rules.
Disclaimer
This script is for educational/analytical purposes only and does not constitute financial advice. It does not execute trades or manage your risk automatically. Always combine it with your own strategy, money management, and independent decision-making.
Use the Info Panel and Stats to align with your own R:R and risk rules.
X FP Imbalancesprovides advanced volume profile analysis by isolating and visualizing market aggression at a granular price level. It is a powerful tool for short-term and intraday traders seeking objective confirmation of supply and demand dynamics, primarily used to identify high-probability reversal or continuation points based on order flow principles.
Key Functionality and Methodology
The indicator operates by transforming standard time-based candle data into a Volume-at-Price footprint, focusing specifically on aggressive market activity.
Granular Aggression Measurement (Delta)
The script dynamically segments the price range into discrete price levels (tickAmount). This granularity is controlled either by a user-defined fixed tick count or automatically adjusted using the Average True Range (ATR) to adapt the box size to current market volatility.
The script uses lower timeframe data (e.g., 1-minute bars) to accurately distribute the total volume into each price level, distinguishing between aggressive buying (Up Volume) and aggressive selling (Down Volume).
The core output is Delta, which is the net difference between aggressive buying and aggressive selling at each price level.
Stacked Imbalance Identification
The indicator identifies an imbalance when the volume from one side (e.g., aggressive buyers) overwhelms the total volume at that level by a user-defined percentage (imbalanceP).
A single price level where the Delta percentage exceeds the threshold is defined as an Imbalance.
The Stacked Imbalance is the primary signal, triggered when the imbalance is detected on a user-defined number of consecutive price levels (stacked) in the same direction (e.g., 3 consecutive levels of aggressive buying). This signals a high-conviction structural break or strong rejection.
Stacked imbalances are visually highlighted and can trigger real-time alerts upon bar close.
Strategic Applications
This indicator is invaluable for traders who integrate order flow concepts into their decision-making process.
One-Sided Stack (Supply/Demand Zone): Aggressive selling (Red Stack) at a high price, followed by price reversal, identifies a Structural Supply Zone (Resistance). The level is where sellers aggressively rejected demand, leaving an untested area of supply.
Overlapping Stacks (Climax Reversal): Consecutive Buy Stacks followed immediately by Sell Stacks in a tight range signals Buyer Exhaustion and an immediate Climax Reversal. The buying power was absorbed and instantly overwhelmed by waiting supply.
Absence of Stack: When price moves sharply through a level without creating any Stacked Imbalances, it suggests an Orderly Move or Liquidity Void. The absence of resistance means the market move is structurally weak and often vulnerable to a retest.
The choice between a Fixed Tick Distance (for micro-pattern precision) and ATR-based sizing (for volatility-adjusted analysis) allows the user to tailor the indicator to specific asset classes and trading styles.
Relative Strength Line by QuantxThe Relative Strength Line compares the price performance of a stock against a benchmark index (e.g., NIFTY, S&P 500, Bank Nifty, etc.).
It does not indicate momentum of the stock itself — it indicates whether the stock is outperforming or underperforming the market.
🔍 How To Read It
RSL Behavior Meaning
RSL moving up Stock is outperforming the benchmark (strong leadership)
RSL moving down Stock is underperforming the benchmark (weakness vs market)
RSL breaking above previous highs Strong institutional demand, leadership candidate
RSL trending sideways Stock is performing similar to the index (no leadership)
📈 Why It Matters
Institutional traders and top-performing strategies focus on stocks showing relative strength BEFORE price breakout.
A stock making new RSL highs even before a price breakout often becomes a top performer in the coming trend.
🧠 Core Trading Edge
You don’t need to predict the market.
Just identify which stocks are being accumulated and leading the market right now — that’s what the Relative Strength Line reveals.
ROMAN INDIThis script creates an on-chart information panel / watermark that summarizes the most important technical and contextual data for the current symbol in one place. It’s designed as a compact trading dashboard overlay, fully configurable from the Inputs menu.
1. General instrument info
The table shows:
Company name + market cap
Market cap is calculated from shares_outstanding_total * close and formatted in M / B / T.
Ticker + timeframe (e.g. AAPL, 1D, AAPL, 1H, etc.).
Sector & industry (when available from syminfo).
You can choose the panel position (Top/Middle/Bottom & Left/Center/Right) and text size/color from the inputs.
2. Volatility & stop-loss (ATR block)
Calculates ATR(14) and the ATR as % of price.
Colors ATR with an emoji:
🔴 = high volatility (above red threshold)
🟡 = medium
🟢 = low
Computes a dynamic stop loss:
Source price can be: Today / Yesterday / 2 Days Ago.
Stop = base price − ATR × user-defined multiplier.
Also calculates the distance from close to stop in percent and marks it:
🟢 if distance > 5%
🟡 if distance > 2%
🔴 otherwise
When price crosses the stop level (or if the stop is very tight and marked 🔴), a label is plotted just ahead of the current bar:
Shows either “SELL” (if close ≤ stop) or the stop price.
3. Moving averages distance row
Calculates SMA 50 / 150 / 200.
Shows a single row:
MA50: +X.XX% | MA150: +Y.YY% | MA200: +Z.ZZ%
Values are the percentage distance between close and each MA (positive/negative).
This row can be toggled on/off via the inputs.
4. Volume analysis
Uses a 20-period average volume as baseline.
Computes:
Absolute volume difference vs. 20-SMA (in K/M units).
Percent difference vs. average.
Adds:
🔴 if current volume < average
🟡 if up to +10% above average
🟢 if more than +10% above average
Detects streaks of rising or falling volume (last 3 bars):
⬆️ / ⬆️⬆️ / ⬆️⬆️⬆️ for 1–3 bars of increasing volume
⬇️ / ⬇️⬇️ / ⬇️⬇️⬇️ for 1–3 bars of decreasing volume
Final row example:
ΔVol: 1.25M (15.32%) 🟢 ⬆️⬆️
5. Earnings countdown
Uses earnings.future_time to detect the next earnings date.
Shows:
Earnings: X days remaining
(only if there is a future earnings date and the option is enabled).
6. RSI (momentum)
Calculates RSI(14).
Displays:
Current RSI value.
Trend arrow vs. previous bar: ⬆️ / ⬇️ / (no arrow).
Emoji color:
🔴 when RSI > 70 (overbought)
🔴 when RSI < 30 (oversold)
🟢 otherwise
Example:
RSI (14): 63.25 🟢 ⬆️
7. CCI (trend strength & short-term swings)
Calculates CCI(14) on hlc3.
Tracks the direction of CCI (up / down / flat) and interprets it:
If CCI is falling:
100 → “Overbought 🔴”
0 to 100 → “Negative Momentum 🟡”
−100 to 0 → “2-4 Days Down 🟠”
< −100 → “Oversold 🔴”
If CCI is rising:
100 → “Overbought 🔴”
0 to 100 → “2-4 Days Up 🟢”
−100 to 0 → “Building Momentum 🟡”
< −100 → “Oversold 🔴”
The row shows value, direction arrow and text interpretation.
Example:
CCI (14): -45.32 🟡 ⬆️ Building Momentum 🟡
8. Market context: VIX & Bitcoin row
Tracks:
VIX (CBOE:VIX)
Bitcoin (BINANCE:BTCUSDT)
If the current chart is directly on one of these symbols, it uses the live close; otherwise it pulls the data via request.security.
Shows last price of VIX and BTC plus trend arrows based on the last 3 closes (up/down streak).
Example:
VIX: 15.23 ⬆️ | BTC: 113,000 ⬇️⬇️
Summary
In short, ROMAN INDICATOR is an overlay info-panel that combines:
Instrument fundamentals (name, sector, industry, market cap)
Volatility & ATR-based stop-loss engine
Distance from major moving averages (50/150/200)
Volume vs. average with streak detection
RSI & CCI with clear emoji-based interpretation
Earnings countdown (days to next report)
Global context via VIX + Bitcoin row
Everything is configurable in the Inputs, making it a convenient single-glance trading dashboard on top of your chart.
NovaNOVA – Momentum & Trend Validation Indicator
NOVA is a custom-built confirmation indicator designed to filter false signals and highlight real momentum shifts with higher precision. It combines trend direction, momentum strength, and volatility behavior into a single, clean visual structure.
Key Features
Trend direction detection based on dynamic price structure
Momentum strength validation for breakout and continuation setups
Volatility-aware signal filtering
Non-repainting logic on closed candles
Works across all timeframes and markets
Compatible with crypto, forex, indices, and stocks
Best Use Case
NOVA performs best when used:
After key support/resistance reactions
During breakout confirmations
With trend-following systems
As a filter to avoid low-quality entries
Important Disclaimer
This indicator is not a financial advice tool. Trading involves significant risk. Past performance does not guarantee future results. Always use proper risk management.
Liquidation Heatmap [Alpha Extract]A sophisticated liquidity zone visualization system that identifies and maps potential liquidation levels based on swing point analysis with volume-weighted intensity measurement and gradient heatmap coloring. Utilizing pivot-based pocket detection and ATR-scaled zone heights, this indicator delivers institutional-grade liquidity mapping with dynamic color intensity reflecting relative liquidity concentration. The system's dual-swing detection architecture combined with configurable weight metrics creates comprehensive liquidation level identification suitable for strategic position planning and market structure analysis.
🔶 Advanced Pivot-Based Pocket Detection
Implements dual swing width analysis to identify potential liquidation zones at pivot highs and lows with configurable lookback periods for comprehensive level coverage. The system detects primary swing points using main pivot width and optional secondary swing detection for increased pocket density, creating layered liquidity maps that capture both major and minor liquidation levels across extended price history.
🔶 Multi-Metric Weight Calculation Engine
Features flexible weight source selection including Volume, Range (high-low spread), and Volume × Range composite metrics for liquidity intensity measurement. The system calculates pocket weights based on market activity at pivot formation, enabling traders to identify which liquidation levels represent higher concentration of potential stops and liquidations with configurable minimum weight thresholds for noise filtering.
🔶 ATR-Based Zone Height Framework
Utilizes Average True Range calculations with percentage-based multipliers to determine pocket vertical dimensions that adapt to market volatility conditions. The system creates ATR-scaled bands above swing highs for short liquidation zones and below swing lows for long liquidation zones, ensuring zone heights remain proportional to current market volatility for accurate level representation.
🔶 Dynamic Gradient Heatmap Visualization
Implements sophisticated color gradient system that maps pocket weights to intensity scales, creating intuitive visual representation of relative liquidity concentration. The system applies power-law transformation with configurable contrast adjustment to enhance differentiation between weak and strong liquidity pockets, using cyan-to-blue gradients for long liquidations and yellow-to-orange for short liquidations.
🔶 Intelligent Pocket State Management
Features advanced pocket tracking system that monitors price interaction with liquidation zones and updates pocket states dynamically. The system detects when price trades through pocket midpoints, marking them as "hit" with optional preservation or removal, and manages pocket extension for untouched levels with configurable forward projection to maintain visibility of approaching liquidity zones.
🔶 Real-Time Liquidity Scale Display
Provides gradient legend showing min-max range of pocket weights with 24-segment color bar for instant liquidity intensity reference. The system positions the scale at chart edge with volume-formatted labels, enabling traders to quickly assess relative strength of visible liquidation pockets without numerical clutter on the main chart area.
🔶 Touched Pocket Border System
Implements visual confirmation of executed liquidations through border highlighting when price trades through pocket zones. The system applies configurable transparency to touched pocket borders with inverted slider logic (lower values fade borders, higher values emphasize them), providing clear historical record of liquidated levels while maintaining focus on active untouched pockets.
🔶 Dual-Swing Density Enhancement
Features optional secondary swing width parameter that creates additional pocket layer with tighter pivot detection for increased liquidation level density. The system runs parallel pivot detection at both primary and secondary swing widths, populating chart with comprehensive liquidity mapping that captures both major swing liquidations and intermediate level clusters.
🔶 Adaptive Pocket Extension Framework
Utilizes intelligent time-based extension that projects untouched pockets forward by configurable bar count, maintaining visibility as price approaches potential liquidation zones. The system freezes touched pocket right edges at hit timestamps while extending active pockets dynamically, creating clear distinction between historical liquidations and forward-projected active levels.
🔶 Weight-Based Label Integration
Provides floating labels on untouched pockets displaying volume-formatted weight values with dynamic positioning that follows pocket extension. The system automatically manages label lifecycle, creating labels for new pockets, updating positions as pockets extend, and removing labels when pockets are touched, ensuring clean chart presentation with relevant liquidity information.
🔶 Performance Optimization Framework
Implements efficient array management with automatic clean-up of old pockets beyond lookback period and optimized box/label deletion to maintain smooth performance. The system includes configurable maximum object counts (500 boxes, 50 labels, 100 lines) with intelligent removal of oldest elements when limits are approached, ensuring consistent operation across extended timeframes.
This indicator delivers sophisticated liquidity zone analysis through pivot-based detection and volume-weighted intensity measurement with intuitive heatmap visualization. Unlike simple support/resistance indicators, the Liquidation Heatmap combines swing point identification with market activity metrics to identify where concentrated liquidations are likely to occur, while the gradient color system instantly communicates relative liquidity strength. The system's dual-swing architecture, configurable weight metrics, ATR-adaptive zone heights, and intelligent state management make it essential for traders seeking strategic position planning around institutional liquidity levels across cryptocurrency, forex, and futures markets. The visual heatmap approach enables instant identification of high-probability reversal zones where cascading liquidations may trigger significant price reactions.
Pre-Market Confirmed Momentum – FULL WATCHLIST 2025**Pre-Market Confirmed Momentum – High-Conviction Gap Scanner (2025)**
Scans 94 high-liquidity NASDAQ/NYSE stocks (NVDA, TSLA, COIN, AMD, SOFI, ASTS, CIFR, etc.) for strong pre-market gap-ups that are confirmed by both elevated volume and broad-market strength.
**Entry triggers only when ALL are true at 09:29 ET:**
- ≥ +1.5% gap from previous regular close
- Pre-market volume ≥ 2.5× the 20-day average
- QQQ pre-market ≥ +0.5% (market filter)
Back-tested June 2024 – Dec 2025:
68 signals → **+1.96% average intraday return** → **75% win rate** after 1.5% hard stop.
Features large on-chart labels, triangle markers, and dynamic `alert()` messages with exact gap % and volume multiple. Works on 1-min or 5-min charts with extended hours enabled – perfect for day traders hunting clean, high-probability momentum entries at the open.
Ready for watchlist scanning and real-time alerts. Enjoy the edge! 🚀
HoneG_EURUSD値動き停止アラートv5This is a signal tool that detects price movement stoppages and displays signals with alerts.
Please select the time frame on the chart that corresponds to the time period you wish to detect.
値動きの停止を検知してサイン表示とアラートを出すサインツールです。
チャートの時間足を、検知したい時間相当の足を選んで使ってください。
HoneG_EURUSD値動き停止アラートv5This is a signal tool that detects price movement stoppages and displays signals with alerts.
Please select the time frame on the chart that corresponds to the time period you wish to detect.
値動きの停止を検知してサイン表示とアラートを出すサインツールです。
チャートの時間足を、検知したい時間相当の足を選んで使ってください。
Chaos Volatility Breakout (ATR + Breakout)-VMThis indicator is a volatility-based breakout trading tool inspired by principles from Chaos Theory, where small changes in momentum during high-energy market conditions can lead to large price movements.
Instead of predicting the market, it focuses on identifying “high-probability expansion zones”—moments when the market is under stress (high volatility) and price is breaking out of a recent range.
ADX + ATR% Zonas (Overlay - Azul si ambos, si no Naranja)OVERLAY
ADX
ATR
Pintado de Zonas para Entradas Seguras
Trendslinger CVDCVD - Cumulative Volume Delta
Cumulative Volume Delta (CVD) tracks the running total of buying versus selling pressure by analyzing volume distribution within each price bar. This indicator visualizes order flow dynamics to help identify accumulation, distribution, and potential trend reversals.
How It Works
CVD calculates the "delta" (difference between buying and selling volume) for each bar and accumulates it over time. Two calculation methods are available:
Close Position: Estimates buy/sell volume based on where price closes within the bar's range. A close near the high suggests more buying pressure; a close near the low suggests more selling pressure.
Polarity: Simple method where green candles count as buy volume and red candles count as sell volume.
Key Features
Multiple Display Types: View CVD as candlesticks, line, histogram, area, or columns
Flexible Reset Options: Reset CVD hourly, daily, or weekly for cleaner intraday analysis
Divergence Detection: Automatically identifies bullish and bearish divergences between price and CVD
Session Tracking: Optional high/low reference lines for the current session
Smoothing Options: Apply SMA, EMA, WMA, or RMA smoothing to reduce noise
Info Table: Real-time display of current CVD value, bar delta, and session extremes
Built-in Alerts: Zero line crosses, divergences, and new session highs/lows
How To Use
Trend Confirmation: Rising CVD confirms bullish price action; falling CVD confirms bearish moves
Divergences: Price making new highs while CVD makes lower highs signals weakening buying pressure (bearish). Price making new lows while CVD makes higher lows signals weakening selling pressure (bullish)
Zero Line: CVD crossing above zero suggests buyers taking control; crossing below suggests sellers dominating
Hourly Resets: Useful for scalping and intraday trading to track momentum within each hour
CRT EngineContrarian Reversal Timing Engine (CRT Engine) is a precision tool designed to highlight moments when market conditions become favorable for reversal trades, specifically in areas where liquidity, volatility, and institutional flow behavior tend to converge.
This indicator does not use traditional oscillators, lagging signals, or simple pattern recognition.
Instead, it synthesizes several internal market dynamics into two simple, actionable signals.
🔹 How to Use
Buy Reversal Signal (Green Triangle)
A green upward‑pointing triangle appears below the candle when internal conditions align in a way that historically precedes short‑term upward reversals.
This signal tends to appear after:
Downside exhaustion
Aberrant selling behavior
A shift in underlying order‑flow balance
A short‑term reversion in market microstructure
How to trade it:
Consider long entries on or immediately after the signal bar.
Works best during sharp pullbacks, liquidity sweeps, forced unwinds, and algorithmic overextensions.
Sell Reversal Signal (Red Triangle)
A red downward‑facing triangle appears above the candle when an upward move is likely nearing its limit and conditions favor a downward reversal.
This typically occurs when:
Buying pressure overextends
Internal volatility begins contracting
Upward thrust loses structural support
Short‑term flow shifts direction
How to trade it:
Consider short entries on or immediately after the signal bar.
Particularly effective near blow‑off moves, stop‑runs, or aggressive squeezes.
🔹 Background Color Highlights (Optional Filter)
Faint Green Background: Market environment is favorable for upside reversal.
Faint Red Background: Market environment is favorable for downside reversal.
These zones can help avoid trading against stronger conditions.
🔹 Recommended Usage
Works on any timeframe, but intraday periods (1m–15m) often show the cleanest signals.
Pairs well with VWAP, liquidity sweeps, key levels, and structural displacement.
Designed for traders who favor contrarian, mean‑reversion, or liquidity‑based setups.
🔹 What This Indicator Does Not Do
It does not follow trends.
It does not measure overbought/oversold like RSI.
It does not use MACD, moving average crosses, or classical oscillators.
Instead, it focuses on internal flow conditions, extreme extension behavior, and short‑term market inefficiencies that often precede reversals driven by liquidity algorithms and institutional positioning.
🔹 Important Notes
Signals do not repaint once the candle closes.
This is not a high‑frequency timing tool; it identifies high‑probability reversal zones, not exact bottoms/tops.
Works best when combined with good execution, structure awareness, and market context AND IS NOT DESIGNED TO OPERATE AS A STANDALONE.
Institutional Options Matrix [Pro]# Institutional Options Matrix – Whale Flow & Gamma Detector
### 🚀 Stop Trading Single Strikes. Start Trading the Matrix.
Most retail traders make a critical mistake: they analyze a single option strike in isolation. **Institutional Desks do not trade this way.** They trade the volatility surface, sweeping liquidity across the ATM (At-The-Money) and OTM (Out-Of-The-Money) strikes simultaneously.
The **Institutional Options Matrix ** is designed to bridge the gap between retail charts and institutional order flow. It does not just look at price; it aggregates **Volume Pressure, Delta Sensitivity, and Implied Volatility** across a cluster of strikes to detect when "Whales" are positioning for a move.
---
### 🧠 The Quant Logic (How it Works)
This indicator moves beyond simple Moving Averages. It employs **Multi-Strike Cluster Analysis**:
1. **Aggregate Volume Pressure:** Instead of watching just the ATM strike, this algorithm sums the volume of the **ATM + OTM1 + OTM2** strikes. This reveals the true "Sector Sentiment." If the ATM volume is low but OTM volume is spiking, the indicator detects "Speculative Accumulation."
2. **Net Order Flow Histogram:** The histogram at the bottom visualizes the net battle between Call Writers and Put Writers.
* **Green Columns:** Net Call Buying Pressure.
* **Red Columns:** Net Put Buying Pressure.
3. **Smoothed Gamma Detector:** Using a custom smoothing algorithm on Spot vs. Option pricing, the script calculates the rate of change (Gamma). When this spikes, it triggers a **"Gamma Zone"** (Yellow Background), indicating that price is accelerating and Market Makers are likely trapped.
4. **Smart Strike Alignment:** The dashboard monitors the live Spot price. If the market moves significantly away from your selected strike, the dashboard alerts you to **"⚠️ SHIFT TO "**, ensuring you are never trading stale data.
---
### 📊 Key Features
* **Whale Flow Histogram:** Visualizes the aggregate pressure of the top 3 strikes.
* **Gamma Squeeze Zones:** Highlights explosive momentum areas with a yellow background.
* **Dynamic Dashboard:** Displays real-time ATM pricing, Aggregated Volume, and Strike status.
* **Speculation Alerts:** Detects when volume is spiking on OTM strikes (a leading indicator of a breakout).
* **Clean Visuals:** Plots Call (Green) and Put (Red) premiums directly on the chart with simple Buy/Sell triangular signals.
---
### 🛠️ How to Use
**1. Setup:**
* **Asset:** Select Index (NIFTY, BANKNIFTY) or Stock.
* **Expiry:** Enter the current expiry in `YYMMDD` format (e.g., `251212`).
* **Strike:** Enter the current ATM strike manually (e.g., `24500`).
* *Note: Check the dashboard! If it says "⚠️ SHIFT TO...", update your inputs.*
**2. Long Entry (Call Buy):**
* **Signal:** Green Triangle (Call Entry).
* **Confirmation:** Net Flow Histogram is **GREEN** (Positive).
* **Price:** Call Premium (Green Line) crosses above its VWAP.
**3. Short Entry (Put Buy):**
* **Signal:** Red Triangle (Put Entry).
* **Confirmation:** Net Flow Histogram is **RED** (Negative).
* **Price:** Put Premium (Red Line) crosses above its VWAP.
**4. The Gamma Boost:**
* If the background turns **YELLOW**, a Gamma Squeeze is active. These are high-probability, high-velocity moves.
---
### ⚠️ Disclaimer
*This tool is for educational purposes only. Options trading involves significant risk and is not suitable for all investors. This script relies on data provided by TradingView (NSE); delayed data may affect signal accuracy. Always manage your risk.*
Consolidation Chopper█ OVERVIEW
Consolidation Chopper is a regime detection indicator designed to identify whether the market is currently in a consolidation (sideways) phase or a trending phase. The indicator uses a proprietary multi-timeframe approach to analyze price action across different windows, providing a more robust classification than single-timeframe methods.
The indicator features an impulse override system that can detect sudden breakouts from consolidation ranges, allowing for faster regime transitions when significant price movement occurs.
█ FEATURES
Three-State Regime Detection
• Sideways — Market is consolidating with no clear directional bias
• Breakout — An impulse move has been detected, signaling a potential regime change
• Trending — Market is exhibiting directional movement
Adaptive Thresholds
The indicator can self-calibrate its detection thresholds based on the instrument's historical behavior, making it adaptable across different markets and asset classes without manual tuning.
Dynamic Range Tracking
During consolidation periods, the indicator tracks the evolving range boundaries:
• Yellow lines show the current range high and low
• Orange lines show the buffered boundaries used for impulse detection
• Range continuously updates as price action develops
Impulse Override System
Multiple configurable conditions can trigger an early exit from consolidation:
• Bar body relative to range size
• Bar range relative to volatility
• Close beyond buffered range boundaries
• Multi-bar cumulative movement
Each condition can be independently enabled or disabled.
Confirmation Layers
Optional confirmation metrics provide additional confidence scoring for the current regime classification. The info panel displays confidence percentage and confirmation status.
Cooldown System
Prevents rapid regime oscillation by enforcing a minimum duration after breakout events before allowing return to sideways classification.
█ HOW TO USE
1 — Add the indicator to your chart. The background color indicates the current regime.
2 — During sideways regimes, observe the yellow range lines to understand the current consolidation boundaries.
3 — Watch for IMP markers which indicate impulse-triggered breakouts.
4 — Use the info panel (top right) to monitor:
Current regime and confidence level
Range boundaries and buffer values
Cooldown status
5 — Adjust impulse detection parameters based on your instrument's volatility characteristics.
Higher values = fewer triggers (more conservative)
Lower values = more triggers (more sensitive)
█ SETTINGS
Threshold Settings
Control the sensitivity of regime classification. Adaptive mode auto-calibrates based on historical data tuned for your instrument.
Impulse Override
Configure which conditions trigger early breakout detection and their respective thresholds.
Multi-Bar Impulse
Settings for detecting breakouts that occur over multiple bars rather than a single impulse candle.
Range Tracking
Configure the establishment period and buffer zone for consolidation range detection.
Cooldown
Set the minimum bars required after a breakout before returning to sideways classification.
█ LIMITATIONS
• The indicator requires sufficient historical data to establish adaptive thresholds.
Initial bars may show less reliable classifications.
• Like all regime detection methods, there is going to be inherent lag in identifying transitions, but this method minimizes it.
The impulse override system helps mitigate this but cannot eliminate it entirely.
• Performance may vary across different timeframes and instruments.
Some parameter tuning is recommended for optimal results.
█ NOTES
This indicator is designed as a filter or context tool to be used alongside other analysis methods. It does not generate trade signals directly but provides market structure context that can inform trading decisions. Typically once a range breaks you can expect directional movement/impulses or higher volatility regimes.
Wick to Body Ratio TableHello, I'm Gomaa if don't know me and if you want to know more about me follow me on my social media accounts which my propose to teach people "How To Learn".
Use this link so you can find me: linktr.ee
Overview
The "Wick to Body Ratio Table" is a comprehensive analytical tool designed to provide traders with detailed insights into candle structure and price movement dynamics. This indicator breaks down each candle into its component parts and displays real-time statistics in an easy-to-read table format.
What It Does
This indicator analyzes the current candle and displays four key metrics for each component:
Ratio to Body - How large each wick is compared to the candle body
Percentage of Total - What portion of the entire candle each component represents
Move Percentage - The actual price movement as a percentage from the opening price
Component breakdown - Upper wick, body, lower wick, and totals
Key Features
Real-Time Analysis:
Updates automatically with every price tick on the current candle
Works seamlessly across ALL timeframes (1 second to monthly charts)
No lag or delay in calculations
Comprehensive Metrics:
Upper Wick: Shows rejection from higher prices and selling pressure
Closed Body: Displays the actual price change from open to close (bullish=green, bearish=red)
Lower Wick: Indicates rejection from lower prices and buying pressure
Total Wick: Combined wick analysis for overall volatility assessment
Whole Candle: Complete range from high to low with total movement percentage
Visual Design:
Color-coded rows for easy identification
Clear headers for each metric column
Positioned at top-right of chart (non-intrusive)
Professional table format with borders and proper spacing
How to Interpret the Data
Ratio to Body Column:
A ratio of 2.0x means that component is twice the size of the body
N/A appears for doji candles (when body = 0)
Higher ratios indicate stronger rejection or indecision
% of Total Column:
Shows what percentage each part contributes to the whole candle
All percentages always add up to 100%
Helps identify if price spent more time in wicks or body
Move % Column:
Calculated from the opening price
Shows actual volatility during the candle period
Example: 0.5% body with 3% total candle = high volatility but little net movement
Trading Applications
1. Rejection Analysis:
Long upper wicks at resistance = strong selling pressure
Long lower wicks at support = strong buying pressure
Wick-to-body ratios above 2:1 suggest significant rejection
2. Volatility Assessment:
Compare body move % to whole candle move %
Large difference indicates choppy price action
Small difference indicates trending movement
3. Candle Patterns:
Identify doji, hammer, shooting star patterns quantitatively
Measure strength of pin bars and rejection candles
Compare current candle structure to historical patterns
4. Market Sentiment:
Body % > 70% = strong directional movement
Wick % > 60% = indecision and rejection
Balanced distribution = consolidation
Settings & Customization
Table position can be modified in the code (top_right, top_left, bottom_right, bottom_left)
Colors can be adjusted for different components
Text size can be changed (size.small, size.normal, size.large)
Decimal precision can be modified in the str.tostring() functions
Best Practices
Use on higher timeframes (15m+) for more reliable signals
Combine with support/resistance levels for context
Look for extreme ratios (>3:1) for high-probability setups
Monitor the move % to gauge true volatility vs. net movement
Technical Details
Written in Pine Script v5
Zero division protection built-in
Handles all edge cases (gaps, doji, extreme wicks)
Lightweight and efficient (minimal CPU usage)
ProCrypto OI Candles (auto symbol) — by ruben_procryptoProCrypto OI Candles (Auto Symbol) visualizes Open Interest in a clear and intuitive way by converting OI data into candles and a smooth trendline.
The script automatically detects the correct OI symbol based on the chart you are viewing, so there is no need to manually change OI tickers when switching between assets.
🔹 Key Features
Automatic Symbol Detection
The indicator automatically selects the appropriate Open Interest data source for the asset on your chart (BTC, SOL, ADA, DOGE, etc.).
OI Candles
Open Interest is displayed as candles to show whether market participation is increasing or decreasing on each bar.
Multi-exchange Support
Users can choose OI data from Binance, Bybit, or OKX. Any combination is supported.
Smooth OI Trendline
An optional EMA-based OI line provides a clear view of the underlying trend in trader activity.
Delta Bars (optional)
Highlights whether Open Interest expanded or contracted within the candle.
🔹 How to Interpret OI
Typical relationships between price and OI:
Price ↑ + OI ↑ → Trend continuation likely
New positions entering the market.
Price ↑ + OI ↓ → Short squeeze / weak move
Shorts closing, not new longs opening.
Price ↓ + OI ↑ → New shorts entering
Often signals bearish pressure.
Price ↓ + OI ↓ → Longs closing
Can indicate capitulation or consolidation.
These concepts help traders understand the strength or weakness behind a price move.
🔹 Inputs
Choose exchange(s) for OI data
Adjust candle opacity
Enable/disable OI line
Smoothing length for OI line
Optional delta bars
Range lookback for line offset
All settings are customizable to suit different styles of analysis.
🔹 Notes
Some assets may not have Open Interest data available on all exchanges.
The indicator uses standard TradingView data sources via request.security().
No trading signals are generated; this script is a visualization tool only.
🔹 Author
Created by ruben_procrypto for traders who analyze liquidity, Open Interest, and market participation.
Percent Change Histogram + MACandle Percent Move Columns with Optional Moving Average
Description:
This indicator calculates the percentage move of each candle over a specified number of bars and displays it as upward-facing columns, regardless of the candle direction. Each column is color-coded based on the candle’s direction—green for bullish, red for bearish. An optional moving average can be overlaid on the percentage values to help visualize trends and smooth out volatility.
Features:
Shows each candle’s percentage move as a column facing upward.
Columns are colored according to candle direction.
Adjustable input for the number of bars used in calculation.
Optional moving average overlay that can be added or removed.
Helps quickly assess volatility and trend strength in percentage terms.
Use Case:
Ideal for traders who want a clear visual representation of individual candle movements in percentage terms, making it easier to spot trends, pullbacks, and volatility patterns across different timeframes.
Pure xATR ProUncover the hidden rhythm of the market with Pure xATR Pro. This indicator is designed for serious traders who need to understand "Price Extension". It calculates the precise distance between the price and the baseline Moving Average (MA) relative to market volatility (ATR). Instead of guessing top and bottom, visualize exactly where the price stands in the cycle—from extreme panic selling to euphoric profit-taking.
Key Features:
4-Stage Market Zoning System:
Panic Zone (Oversold): Identifies extreme price drops (statistically rare deviations). Often presents high-reward mean reversion opportunities.
Buy Zone (Entry): The sweet spot for trend initiation.
Hold / Winner Zone: Detects strong momentum. Keeps you in the trade while the trend is healthy (Ride the trend).
Profit Taking Zone (Overbought): signals when the price is statistically overextended and liable to pullback.
Adaptive Volatility Logic:
Includes a dynamic algorithm that analyzes historical volatility (Lookback Period) to automatically adjust Overbought/Oversold percentiles, adapting to changing market conditions.
Professional Dashboard:
Real-time Status: Displays current Zone, Volatility State (Breakout/Normal), and Actionable Advice.
Risk Management: Auto-calculates Dynamic Stop Loss (based on Supertrend, ATR, or MA) and Fixed % Risk.
Multi-Level Targets: Automatically projects 3 profit targets (TP) based on ATR multiples.
Clean & Customizable Visuals:
Smart Highlighting: Background colors automatically highlight key zones (Panic/Buy/Hold/Profit).
Style Control: Full color customization available directly in the "Style" tab for a clutter-free input menu.
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ค้นพบจังหวะที่แท้จริงของตลาดด้วย Pure xATR Pro อินดิเคเตอร์ระดับมืออาชีพที่ออกแบบมาเพื่อวิเคราะห์ "ระยะการยืดตัวของราคา" (Price Extension) โดยคำนวณระยะห่างระหว่างราคากับเส้นค่าเฉลี่ย (MA) เทียบกับความผันผวน (ATR) ช่วยให้คุณเห็นภาพชัดเจนว่าราคา ณ ปัจจุบันอยู่ในสถานะใด ตั้งแต่จุดที่คนเทขายด้วยความตกใจ (Panic) ไปจนถึงจุดที่ราคาแพงเกินไปและควรขายทำกำไร
ฟีเจอร์หลัก (Key Features):
ระบบแบ่งโซนตลาด 4 ระดับ (4-Stage Zoning):
Panic Zone (โซนของถูก/Oversold): จับจังหวะที่ราคาดิ่งลงแรงผิดปกติ ซึ่งมักเป็นจุดกลับตัวที่ให้ผลตอบแทนสูง (High Reward)
Buy Zone (โซนสะสม): จุดเริ่มต้นของเทรนด์ เป็นระยะปลอดภัยในการเข้าออเดอร์
Hold / Winner Zone (โซนรันเทรนด์): แยกแยะช่วงที่เทรนด์แข็งแกร่ง ให้คุณ "ถือสถานะต่อ" (Let Profit Run) ไม่ขายหมู
Profit Taking Zone (โซนขายทำกำไร): แจ้งเตือนเมื่อราคาวิ่งไปไกลเกินค่าเฉลี่ยทางสถิติ (Overextended) เพื่อพิจารณาขาย
ระบบปรับตัวตามความผันผวน (Adaptive Logic):
อัลกอริทึมอัจฉริยะที่คำนวณค่า Percentile ย้อนหลัง เพื่อปรับระดับ Overbought/Oversold ให้เหมาะสมกับสภาวะตลาดที่เปลี่ยนไปโดยอัตโนมัติ
หน้าปัดสถานะครบวงจร (Professional Dashboard):
แสดงสถานะปัจจุบัน (Action), ระดับความผันผวน, และคำแนะนำแบบ Real-time
Risk Management: คำนวณจุด Stop Loss ให้อัตโนมัติ (เลือกสูตรได้: Supertrend, ATR, หรือ MA)
Target Projection: คำนวณเป้าหมายทำกำไร (TP) ให้ล่วงหน้า 3 ระดับตามระยะ ATR
กราฟสะอาดตา ปรับแต่งง่าย (Clean Visuals):
Smart Highlight: ไฮไลท์สีพื้นหลังตามโซนต่างๆ อัตโนมัติ (Panic/Buy/Hold/Profit) ทำให้ดูเทรนด์ง่ายเพียงกวาดตา
Customizable: ปรับแต่งสีและความโปร่งใสได้อิสระผ่านแถบ "Style" เพื่อกราฟที่ดูเป็นระเบียบและไม่รกสายตา
