UMA Scalping Level 2025UMA Scalping Level 2025は、「直近で市場が意識している高値・安値ライン」と
「短期トレンドの勢い（EMAクロス）」を同時に捉えるスキャルピング特化型インジケーターです。
"UMA Scalping Level 2025" is a scalping-focused indicator that simultaneously captures the recent key swing highs and lows that the market is reacting to, and the short-term momentum identified by EMA crossovers.
Ketidakstabilan
Liquidity Radar by DGTLiquidity Radar is an advanced indicator designed to uncover and visualize critical liquidity zones on the price chart. These zones mark areas where stop orders and limit orders are densely concentrated—price levels where large-scale liquidation events are more likely to occur. Such areas are often targeted by institutional players to spark volatility or to optimize trade execution.
The indicator dynamically draws horizontal levels that reflect real-time liquidity buildup based on volume and price activity. When multiple liquidation levels cluster near the same price, overlapping lines highlight zones of elevated liquidity—helping traders identify potential hotspots for price reactions, reversals, or volatility spikes.
KEY FEATURES
⯌ Magnet Zones
Clusters of liquidation levels may act as magnets for price, pulling market movement toward them. Traders often use these zones to forecast directional bias and identify high-probability setups.
⯌ Support/Resistance Zones
Densely packed liquidity often behaves as dynamic support or resistance. These zones can provide major players with optimal entry or exit points, potentially leading to sharp reactions or market reversals.
⯌ Rapid Move Zones
Areas with sparse liquidity levels often experience faster price movement, as fewer resting orders are available to absorb aggressive taker orders. These zones can lead to quick price sweeps and momentum surges.
INSIGHTS
What Happens After Price Reaches a High Liquidity Zone?
Liquidity is "Grabbed"
These zones are typically filled with stop-losses or resting orders. When price reaches them, large volumes are executed — often suddenly. This is known as a liquidity grab or stop hunt .
Increased Volatility
The execution of clustered orders often triggers bursts of volatility. This can result in large wicks, rapid price movements, or deceptive “fakeouts” around the zone.
Price Reaction Scenarios
Stall or Consolidation : After liquidity is grabbed, price may pause or range, especially if market participants are indecisive.
Reversal : If the liquidity grab flushes out weak hands, price may reverse sharply — often where institutional players are already positioned in the opposite direction.
Continuation : Sometimes, the zone acts as a launchpad — price consumes the liquidity and continues strongly in the same direction.
What Happens When Price Is Between Liquidity Zones?
Faster Price Moves
In areas with fewer clustered liquidity levels, price often moves quicker due to fewer resting orders absorbing aggressive taker orders, enabling market orders to push price rapidly through these zones.
Higher Probability of Market (Taker) Orders
Sparse liquidity encourages taker orders, which “take” liquidity instantly, causing sharp and sometimes unpredictable price swings.
Reduced Support or Resistance
The lack of dense liquidity means fewer natural price barriers, allowing price to sweep through these zones with less friction until it nears the next liquidity cluster.
Increased Volatility and Potential Whipsaws
Rapid movement in low liquidity zones can trigger stop losses or cause fakeouts, resulting in sudden volatility and quick reversals.
Opportunity for Breakouts or Trend Acceleration
Price breaking from a liquidity zone into a sparse area may gain momentum quickly, leading to strong directional moves or trend continuation.
Liquidity zones aren’t just price targets — they’re high-stakes decision points. Once tapped, they often serve as temporary barriers where price may reverse, stall, or continue, depending on the prevailing order flow and participant intent. In leveraged markets, liquidations play a crucial role in shaping price behavior and positioning. The Liquidity Levels indicator helps traders spot where these impactful moments are most likely to occur — enhancing both strategic edge and decision-making confidence.
LIMITATIONS
Due to a technical limitation in Pine Script, a maximum of 500 horizontal levels can be drawn. As a result, some historical liquidity levels from earlier bars may not appear on the chart.
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Skrip berbayar
Multi Timeframe Signal DashboardShows 10 indicators across 6 timeframes (5M, 15M, 30M, 1H, 4H, 1D):
EMA 50/100 crossover
RSI (with oversold/overbought highlighting)
MACD
DMI (DI+/DI-)
Stochastic (with extremes)
CCI
Bollinger Bands
VWAP
EMA 200 Trend
Momentum
Each cell shows ▲ (bullish/green) or ▼ (bearish/red), with scores per row and column, plus an overall BUY/SELL/HOLD signal.
GARCH Volume VolatilityGARCH Volume Volatility (GV)
Description
Concept This indicator applies GARCH (Generalized Autoregressive Conditional Heteroskedasticity) concepts to Volume rather than Price. While most traders analyze volume as a raw figure, this script calculates the volatility of volume changes.
By understanding how stable or erratic volume flow is, traders can identify periods of institutional accumulation (often stable, high volume) versus panic or exhaustion (erratic, exploding volume volatility). The script uses an EWMA (Exponentially Weighted Moving Average) model to smooth squared volume returns, providing a highly responsive metric for volume variance.
How It Works The calculation follows a strict statistical methodology to ensure accuracy:
Returns Calculation: First, the script calculates the period-over-period change in volume. Users can select between Logarithmic Returns (ideal for handling the skew in volume data) or standard percentage change.
Variance Proxy: These returns are squared to calculate the raw variance.
EWMA Smoothing (The GARCH Component): Instead of a simple moving average, the script applies an EWMA filter. This uses a lambda (decay factor) to weigh recent variance more heavily than past variance.
Formula logic: Variance_t = lambda * Variance_{t-1} + (1 - lambda) * Returns^2_t
This recursive calculation mimics the "RiskMetrics" approach to volatility, adapting quickly to sudden volume shocks.
Dynamic Thresholds: The script calculates a Mean and Standard Deviation (Z-Score bands) of the resulting volatility to generate dynamic Overbought/Oversold zones for volume stability.
Visuals & usage The indicator displays a histogram representing the current Volume Volatility, color-coded by its intensity relative to the dynamic bands:
Red (High Band): Indicates extreme volume volatility (3+ Standard Deviations). This often occurs during capitulation bottoms or euphoric tops where volume consistency breaks down completely.
Maroon (Above Mean): Indicates elevated volatility. Volume is changing rapidly, suggesting active fighting between buyers and sellers.
Green (Low Band): Indicates low volatility. This suggests volume is flowing consistently. In trends, consistent volume (low volatility) often confirms a sustainable move.
Settings
Use EWMA: Toggles the recursive GARCH-style calculation. If disabled, it reverts to a simple SMA of variance.
Log Returns: Recommended true. Uses log-change for smoother handling of massive volume spikes.
EWMA Lambda: The decay factor (Default 0.94). Higher values make the indicator smoother; lower values make it more reactive to immediate shocks.
Threshold Lookback: The length of the window used to calculate the dynamic bands (High/Low zones).
Disclaimer This tool is designed for technical analysis of volume patterns and does not guarantee future price direction. Volume analysis is subjective and should be used in confluence with price action.
Miela Labs | John Dee's Watchtower [257-463]Bridging the gap between 16th-century esoteric mathematics and modern algorithmic trading.
The Enochian Watchtower is not merely a trend indicator; it is a computational artifact developed by Miela Labs LLC. This script translates Dr. John Dee’s "Great Table of the Watchtowers" and the "Sigil Dei Aemeth" into actionable financial data points.
Using our proprietary Occultator V2.0 Engine, we have derived specific mathematical constants that resonate with the current market structure.
🏛️ The Algorithmic Logic
This indicator utilizes three sacred numbers to construct a "Future Vision" of the market:
1. The Axis Mundi (Vector 257): derived from Fermat Primes and John Dee’s Grid coordinates. This Weighted Moving Average (WMA) acts as the spinal cord of the trend.
2. The Gates (Cipher 463): A prime number derived from the "Galethog" cipher stride. These bands define the absolute volatility limits (Heaven & Earth Gates).
3. Future Vision (Offset 21): Utilizing Fibonacci time sequences, the indicator projects Support and Resistance levels 21 bars into the future, allowing traders to anticipate market movements before they occur.
⚡ How to Use
• The Trend: If price is above the Purple Axis (257), the market is in a bullish phase.
• The Entry: Look for "L" (Long) and "S" (Short) signals. These are confirmed when the signal path crosses the Axis.
• The Future: Watch the projected lines on the right side of the chart to identify upcoming resistance zones.
About Miela Labs
Miela Labs is a Technomancy Research Institute based in McKinney, Texas. We specialize in building open-source esoteric trading tools and the Magic Programming Language (MPL).
🌐 Official Hub: Visit Miela Labs
💻 Source Code & Research: GitHub Repository
Disclaimer: This tool is for educational and research purposes only. It demonstrates the application of esoteric mathematics in financial analysis. Trade responsibly.
Fusion Reversion Meter LiteFusion Reversion Meter Lite™
Market Energy & Exhaustion Gauge
Fusion Reversion Meter Lite shows whether market conditions support your next trade — not direction, but energy state.
It answers a critical question:
Does price have fuel to continue… or is it running out of steam?
METER STATES
🟢 GO → Energy depleted
→ Reversion behavior favored
🟡 CAUTION → Energy transitioning
→ Expect chop or mixed conditions
🔴 STOP → Energy expanding
→ Continuation behavior favored
HOW TO USE
GO → Favor reversion trades
CAUTION → Reduce size or wait for clarity
STOP → Favor continuation trades; avoid fading price
This allows you to trade with confidence, knowing whether retracements are likely or not.
WHAT THIS MEASURES
A composite of:
Oscillator intensity
Volume energy
Volatility expansion
Combined into a single, real-time energy gauge.
It tells you whether the market has fuel — not which way it’s going.
PAIRS WELL WITH
FusionPredict Lite™ — shows where price may want to go.
Used together:
FusionPredict target + Meter GO → Wait for pullback / reversion
FusionPredict target + Meter STOP → Continuation may run clean
FULL VERSION
The full Fusion Reversion Meter™ includes:
Directional awareness
Multi-timeframe energy analysis
Smart alerts and automation hooks
Available at fusionpredictor.com
FusionPredict LiteFusionPredict Lite
Single-Timeframe Reversion Target Indicator
FusionPredict Lite highlights where price is statistically likely to revert toward equilibrium after momentum displacement.
Rather than chasing candles, this tool helps you see where price may want to go next — allowing for cleaner entries, better patience, and reduced emotional trading.
LINE COLORS
🟢 Green Line → Reversion target above current price (bullish bias)
🔴 Red Line → Reversion target below current price (bearish bias)
WHY THIS MATTERS
Knowing the reversion level helps you:
Avoid entering directly into a pullback
Anticipate where momentum may pause or unwind
Decide whether to wait for price to come to you or trade continuation confidently
This is useful not only for scalping, but also for timing cleaner entries during strong moves.
HOW TO USE
Watch how price approaches and reacts to the reversion line
Use it to plan entries without chasing price
Best on 1–5 minute charts, but works on all timeframes
Compatible with crypto, forex, futures, indices, and metals
WHAT THIS IS
FusionPredict Lite is the single-timeframe version of the FusionPredict engine.
It measures:
Momentum displacement
Oscillator imbalance
Volatility structure
…and projects where price may revert as energy normalizes.
PAIRS WELL WITH
Fusion Reversion Meter Lite™ — helps determine whether market conditions favor:
A clean move toward the target
Or a continuation without retracement
FULL VERSION
The full FusionPredict™ includes:
Multi-timeframe alignment (up to 6 timeframes)
Smart alerts and confluence logic
Advanced energy-aware projections
Available at fusionpredictor.com
Prime -Hub Prime -Hub is a comprehensive, all-in-one technical analysis toolkit designed for professional Intraday and Swing traders on Nifty, BankNifty, and Stocks. This script consolidates three powerful institutional logic systems into a single, clean interface, replacing the need for multiple indicators.
Disclaimer: This tool is for educational and analytical purposes only. Past performance does not guarantee future results. Trading involves substantial risk.
MADD Monkey Pro DMCx Directional Momentum and Confluence EngineMadd Monkey Pro DMCx is a bias and momentum indicator that helps intraday traders read short-term direction and the strength of current moves. It is designed to provide structured context so you can decide when conditions support your ideas and when they do not.
Purpose
DMCx is built to help you answer:
What is the current directional bias on this chart?
Is momentum supporting that direction or fading?
Does the current environment meet the confluence conditions you have defined?
Core components (high-level logic)
DMCx combines several elements:
Directional engine – evaluates recent price behavior to classify conditions as bullish, bearish or neutral.
Momentum and volatility engine – distinguishes between stronger impulsive moves and slower or less convincing movement.
Confluence layer – optional filters requiring agreement between direction, momentum and other conditions before highlighting a setup.
Signal quality tagging – internal tagging that lets you treat some conditions as higher or lower quality, depending on your configuration.
These components are presented through chart markers and a compact status panel summarizing the current bias and momentum state.
Key features
Clear bias / regime read to show whether price is trending up, trending down or in more neutral conditions.
Momentum and volatility context to help distinguish between strong pushes and weaker phases.
Optional confluence filters so only aligned conditions are highlighted.
A status panel that provides a high-level snapshot of bias, momentum and simple tallies based on how you interpret the output.
Modular controls allowing you to toggle key visuals (signals, labels, panel) on or off to match your preferred chart layout.
Suggested usage
Symbols and timeframes: Can be used on XAUUSD, FX pairs, indices and other liquid instruments. Intraday frames like 15m, 5m or 1h are common use cases, but you may explore higher or lower timeframes according to your own testing.
Define your higher timeframe bias and important price levels using your own methods.
Use DMCx to check:
Whether short-term direction is aligned with your idea.
Whether momentum supports that view or suggests caution.
Consider taking trades only when your setup and the DMCx context agree, and you have clear rules for entry, stop loss and target.
Treat the readings as context, not as standalone entry or exit signals.
Notes and limitations
DMCx does not repaint closed bars, but its bias and momentum states update as new data appears. This is normal for any real-time context tool.
Any performance-style interpretation of the output depends completely on how you choose to use it. The script does not guarantee results.
Risk disclaimer
This script is provided for informational and educational purposes only. It does not constitute financial advice, investment advice or a solicitation to buy or sell any financial instrument. Trading and investing in financial markets involve significant risk, and you can lose more than your initial investment. Past performance and historical behavior do not guarantee future results.
By using Madd Monkey Pro DMCx, you accept full responsibility for your own trading decisions and outcomes. The author is not liable for any loss or damage arising from the use of this script.
HoneG_HigeHige067ALT_v4HigeHige V4 is a tool that displays wick ratios for one-touch trading in options.
We've added the ability to adjust thresholds individually for each currency and included a right-bottom display for width reference.
Try it on any chart you like—whether it's a 1-minute chart or a 15-second chart.
ザオプションのワンタッチ取引向けにヒゲ比率を表示するツール ヒゲヒゲV4 です。
通貨毎に個別に閾値を調整する機能を追加し、幅目安の右下表示を追加しました。
1分足チャートでも、15秒足チャートでも、お好きなチャートに適用してお試しください。
Al-Bayan Pro [Visual Overlay] Beta Tester
Description:
Concept & Methodology Albayan Pro is a specialized mean-reversion system designed to clarify market noise and identify high-probability reversal points. Unlike standard indicators that merely lag behind price, Albayan Pro utilizes a dynamic central baseline—the Albayan Line—to determine the asset's "fair value" in real-time.
The strategy is built on the principle that price inevitably returns to its established equilibrium after identifying exhaustion points:
The Albayan Line: A volatility-adaptive baseline that anchors the trend.
Signal Logic:
Buy (Reversal): Generated when price deviates significantly below the Albayan Line (oversold zone), signaling that selling pressure has likely peaked.
Sell (Reversal): Generated when price extends significantly above the Albayan Line (overbought zone), indicating a potential pullback.
How to Use Albayan Pro This tool is optimized for the timeframe on .
Entry: Wait for the specific "Rev Buy" or "Rev Sell" labels. These signals often trigger during volatility spikes; ensure the candle closes to confirm the signal validity.
Risk Management: As this is a reversion strategy, stops should be placed below the recent swing low (for buys) or above the swing high (for sells).
Exit: The primary target is a return to the Albayan Line, capturing the "snap back" move.
Backtest Performance (Internal Data) Based on our analysis of Gold (XAUUSD) price action:
Buy Signals demonstrated high reliability, with an ~81% win rate over a 2–4 hour holding period in recent testing.
Sell Signals function best as quick scalps or exit warnings for existing long positions.
Originality Albayan Pro does not rely on standard RSI or Bollinger Band calculations. It uses a unique, absolute-distance calculation from the proprietary Albayan Line to filter false signals, ensuring you only see alerts when statistical deviation is significant.
SuperLazyTradeSuperLazyTrade transforms SuperTrend into a professional day-trading system with intelligent quality filtering.
Instead of showing every signal, it rates each setup on a 100-point scale analyzing:
- Signal Freshness - Catch moves early
- Volume Strength - Confirm momentum
- VWAP Alignment - Trade with institutions
- Volatility Regime - Optimal market conditions
- RSI Confirmation - Momentum validation
The system blocks 35-40% of low-quality signals automatically, enforcing discipline with clear verdicts:
✅ JUMP (80+) - Best setups
⚡ TRADE (65-79) - Strong entries
⚠️ CAUTION (55-64) - Proceed carefully
🟡 TREND (45-54) - Mid-trend opportunities
🔴 AVOID (0-44) - Skip it
Features live P&L tracking, professional 11-row dashboard, and anti-repainting architecture. Perfect for traders who value quality over quantity.
⚠️ DISCLAIMER
This indicator does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. Use at your own risk.
Cerber Strategy ETH/BTC Cerber Strategy: High-Precision Crypto Trend Follower
The Cerber Strategy is a low-frequency, high-conviction trend following system designed to capture massive quarterly crypto moves while
filtering out 90% of consolidation noise. It combines a momentum-based "Sniper Entry" (entering only on verified breakouts) with a
"Trend Confirmation" filter (Weekly DEMA) to ensure capital is only deployed during macro bull runs.
Usage:
* Timeframe: Daily (1D) mandatory.
* Assets: Optimized for BTC and ETH, works on high-volatility alts.
* Style: Position Trading (holding for weeks/months).
* Risk: Extremely high efficiency (high Profit Factor), very low drawdown compared to Buy & Hold. Perfect for a "Set and Forget"
portfolio allocation.
Bollinger Bands Forecast [QuantAlgo]🟢 Overview
Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes.
🟢 How It Works
The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart.
🟢 Key Features
1. Market Structure Model
This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns.
When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility.
Practical Implications for Traders:
Useful when you trade based on swing points and structural breaks
The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend
Helps visualize where bands could form around key structural levels you're watching
Works better in trending conditions where structure patterns are clearer
Might be less effective in choppy, sideways markets without defined swings
2. Volume-Weighted Model
This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it.
Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative.
Practical Implications for Traders:
Relevant if you use volume analysis to confirm price moves
More meaningful in markets with reliable volume data
The Volume Influence parameter (0 to 1) controls how much volume factors into the projection
Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume
Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation
Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable
3. Linear Regression Model
The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars?
Practical Implications for traders:
Provides a neutral, mathematical baseline for comparison
Works well when trends are steady and consistent
Can be useful for backtesting since results are deterministic
Requires minimal configuration beyond lookback period
Might not adapt to changing market conditions as dynamically as the other methods
Best suited for trending markets rather than ranging or volatile conditions
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with:
▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there
▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup)
▶ Target setting: Reference projected band levels when determining profit targets or stop placement
▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme
▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move
▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion
▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter
It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Volume Crisis Created by Alphaomega18
🎯 What is the Crisis Detector Pro?
The Crisis Detector Pro is an advanced multi-component indicator that detects market crisis situations by simultaneously analyzing:
Volume: Anomalies and volume spikes
VIX: Volatility Index (S&P 500)
ATR: True volatility (all assets)
Open Interest: Estimated open interest (futures contracts)
The indicator calculates a Composite Crisis Score (0-100) that combines these elements to alert you to critical market moments.
📊 Indicator Components
1️⃣ Volume Analysis
Anomaly detection: Compares current volume to its moving average
Classification:
🟡 Moderate: 1.5x - 2x average
🟠 High: 2x - 3x average
🔴 Extreme: > 3x average
Bollinger Bands: Detects volume breakouts
Clusters: Identifies 3+ consecutive days of anomalies
2️⃣ VIX (Fear Index)
S&P 500 only
Default thresholds:
🟡 Moderate: VIX > 20
🟠 High: VIX > 30
🔴 Extreme: VIX > 40
3️⃣ ATR (Average True Range)
Measures true volatility
Compatible with all assets (stocks, futures, forex, crypto)
Compares current ATR to its average
4️⃣ Open Interest (OI)
Estimation based on Volume / 2
Detects changes > 25%
Inverted colors:
🔴 Red: OI increase (new positions)
🟢 Green: OI decrease (position closing)
⚙️ Main Parameters
Calculations:
Moving Average Period: 20 (default)
Standard Deviation Period: 20
ATR Period: 14
Volume Thresholds:
Moderate: 1.5x
High: 2.0x
Extreme: 3.0x
Composite Score (Weights):
Volume: 35%
VIX: 25%
ATR: 20%
Open Interest: 20%
📈 Visual Signals
Top of Chart:
🟡 Yellow triangle: Moderate alert (Score 50-70)
🟠 Orange triangle: High alert (Score 70-85)
🔴 Red triangle: EXTREME CRISIS (Score 85-100)
⚠️ Purple cross: Reinforced signal (Volume + Volatility simultaneous)
Bottom of Chart:
💎 Purple diamond: 50-day volume record
⬛ Fuchsia square: Cluster (3+ abnormal days)
Volume Bars:
Gray: Normal volume
🟡 Yellow: Moderate volume
🟠 Orange: High volume
🔴 Red: Extreme volume
Open Interest Curve:
🔵 Blue: Normal variation
🔴 Red: Increase > 25%
🟢 Green: Decrease > 25%
🎯 How to Use the Indicator
1. Initial Setup
For S&P 500 / US Indices:
Enable VIX ✅
Enable ATR ✅
Enable OI ✅
Composite Score ✅
For Other Assets (Forex, Crypto, Stocks):
Disable VIX ❌
Enable ATR ✅
Enable OI (optional)
Composite Score ✅
2. Crisis Score Interpretation
ScoreLevelMeaningAction0-50Normal ✅Calm marketNormal trading50-70Vigilance 🟡Volatility risingIncreased monitoring70-85Danger 🟠Critical situationReduce exposure85-100Crisis 🔴MAXIMUM ALERTCapital protection
3. Trading Strategies
Directional Trading:
Reinforced signal ⚠️ = Powerful move in progress
Enter in direction of movement with confirmation
Tight stops, quick targets
Risk Management:
Score > 70 → Reduce position size by 50%
Score > 85 → Stop trading or ultra-short positions
Cluster detected → Avoid new trades
Scalping/Day Trading:
Extreme volume 🔴 = Scalping opportunities
Wait for confirmation before entering
Exit quickly on spikes
Swing Trading:
Avoid opening swings during crises
Protect existing positions (trailing stops)
Wait for return to normal (Score < 50)
4. Open Interest (Futures):
OI Increase (🔴 Red):
New positions opened
Strong market conviction
Movement may intensify
OI Decrease (🟢 Green):
Position closing
Profit-taking or stop losses
Possible reversal
🔔 Configurable Alerts
The indicator includes 8 types of alerts:
🟡 Moderate Crisis Alert: Score 50-70
🟠 HIGH Crisis ALERT: Score 70-85
🔴 MAJOR CRISIS: Score 85-100
⚠️ REINFORCED SIGNAL: Extreme Volume + Volatility simultaneous
💎 RECORD Volume: Highest volume over 50 days
📊 Cluster DETECTED: 3+ consecutive abnormal days
📈 OI SPIKE >25%: Sharp Open Interest increase
📉 OI DECLINE >25%: Sharp Open Interest decrease
Setup: Right-click on chart → "Add Alert" → Select alert
💡 Optimization Tips
Scalping (1-5min):
MA Period: 10-15
Moderate Threshold: 1.3x
High Threshold: 1.8x
Volume Weight: 50%
Day Trading (15min-1H):
MA Period: 20 (default)
Thresholds: Default
Composite Score: Enabled
Swing Trading (4H-Daily):
MA Period: 30-50
StdDev Multiplier: 2.5
ATR Period: 20
Volatile Markets (Crypto):
Moderate Threshold: 1.8x
High Threshold: 2.5x
Extreme Threshold: 4.0x
ATR Weight: 30%
📊 Statistics Table
The real-time table displays:
Crisis Score: 0-100 with color coding
Current volume: Value and ratio
Volume Score: Contribution to total score
Open Interest: Estimated value and % change
VIX: Current value (if enabled)
ATR: Ratio to average
Global STATUS: Normal ✅ / Vigilance 🟡 / Danger 🟠 / Crisis 🔴
⚠️ Warnings and Limitations
❌ Limitations:
Open Interest is estimated (Volume / 2), not real value
VIX only works for S&P 500
False signals possible in very volatile markets
✅ Best Practices:
Always combine with classic technical analysis
Never trade solely on alerts
Adapt thresholds to your asset and timeframe
Backtest before using live
Respect your risk management plan
🎓 Real Use Cases
Example 1: Flash Crash
Extreme volume 🔴 + Extreme ATR 🔴 + Reinforced signal ⚠️
Composite score > 90
Action: No new trades, protect existing positions
Example 2: Fed Announcement
VIX > 35 + Moderate volume 🟡 + OI rising 🔴
Composite score: 65
Action: Reduce position size, widen stops
Example 3: Volatility Squeeze
Cluster detected + Volume record 💎 + OI declining 🟢
Action: Scalping opportunity in breakout direction
📈 Performance
Real-time detection (0 lag)
Compatible all markets and timeframes
Low resource consumption
Complete history preserved
VSA Visual RenkoWith this script you will be able to identify absorption, exhaustion, and a possible end of movement.
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RSI Median DeviationRSI Median Deviation – Adaptive Statistical RSI for High-Probability Extremes
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder in 1978 to measure the magnitude of recent price changes and identify potential overbought or oversold conditions. It calculates the ratio of upward to downward price movements over a specified period, scaled to 0-100. However, standard RSI often relies on fixed thresholds like 70/30, which can produce unreliable signals in varying market regimes due to their lack of adaptability to the actual distribution of RSI values.
This indicator was developed because I needed a reliable tool for spotting intermediate high-probability bottoms and tops. Instead of arbitrary horizontal lines, it uses the RSI’s own historical median as a dynamic centerline and measures how far the current RSI deviates from that median over a chosen lookback period. The main signals are triggered only at 2 standard deviation (2σ) extremes — statistically rare events that occur roughly 5 % of the time under a normal distribution. I selected 2σ because it is extreme enough to be meaningful yet frequent enough for practical trading. For oversold signals I further require RSI to be below 42, a filter that significantly improved results in my mean-reversion tests (enter on oversold, exit on the first bar the condition is no longer true).
The combination of percentile median + standard deviation bands is deliberate: the median is far more robust to outliers than a simple average, while the SD bands automatically adjust to the current volatility of the RSI itself, producing adaptive envelopes that work equally well in ranging and trending markets.
Underlying Concepts and Calculations
Base RSI: RSI = 100 − (100 / (1 + RS)), RS = average gain / average loss (default length 10).
Percentile Median: 50th percentile of the last "N" RSI values (default 28 = 4 weeks)
→ dynamic, outlier-resistant centerline.
Standard Deviation Bands: rolling stdev of RSI (default length 27 = = 4 weeks (almost))
→ bands = median ± 1σ / 2σ.
Optional Dynamic MA Envelopes: user-selectable moving average (TEMA, WMA, etc., default WMA length 37) for additional momentum context.
Trend Bias Coloring
Independent of the statistical extremes, the RSI line itself is colored green when above the user-defined Long Threshold (default 60) and red when below the Short Threshold (default 47). This provides an instant bullish/bearish bias overlay similar to classic RSI usage, without interfering with the main 2σ extreme signals.
Extremes are highlighted with background color (green for oversold 2σ + RSI<42, magenta for overbought 2σ) and small diamond markers for ultra-extremes (RSI <25 or >85).
Originality and Development Rationale
The indicator was built and refined through extensive testing on dozens of assets including major cryptocurrencies:
(BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL and many more),
the Magnificent 7 stocks,, QQQ, SPX, and gold.
Default parameters were chosen to deliver consistent profitability in simple mean-reversion setups while maximizing Sortino ratio and minimizing maximum drawdown across this broad universe — ensuring the settings are robust and not overfitted to any single instrument or timeframe.
How to Use It
Ideal for swing / position trading on the 1h to daily charts (the same defaults work).
Oversold (high-probability long): RSI crosses below lower 2σ band AND RSI < 42
→ green background
→ enter long, exit the first bar the condition disappears.
Overbought (high-probability short): RSI crosses above upper 2σ band
→ magenta background
→ enter short, exit on opposite signal or at median. (Shorts were not tested, it's only an idea)
Use the green/red RSI line coloring for quick trend context and to avoid fighting strong momentum.
Always confirm with price action and manage risk appropriately.
This indicator is not a standalone trading system.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Standard Deviation Levels with Settlement Price and VolatilityStandard Deviation Levels with Settlement Price and Volatility.
This indicator plots the standard deviation levels based on the settlement price and the implied volatility. It works for all Equity Stocks and Futures.
For Futures
Symbol Volatility Symbol (Implied Volatility)
NQ VXN
ES VIX
YM VXD
RTY RVX
CL OVX
GC GVZ
BTC DVOL
The plot gives you an ideas that the price has what probability staying in the range of 1SD,2SD,3SD ( In normal distribution method)
Please provide the feedback or comments if you find any improvements
ATR R-LevelsATR-R Levels is built for clarity of risk management.
The script takes your account size, chosen risk %, and the market’s volatility, then turns all of that into exact stop-loss, take-profit, and position size so there’s no guessing.
It’s inspired by key principles from NNFX, especially ATR-based stop placement and fixed-risk position sizing, but redesigned for fast intraday crypto trading. You get the same consistency and discipline NNFX is known for, adapted to a much shorter timeframe.
ATR-R Levels gives you:
A volatility-based stop using ATR
A clean 2R (or custom R-multiple) target
Automatic position sizing based on your risk rules
A simple HUD showing ATR, entry, stop, TP, size, and risk
Optional net profit estimates after fees
Let me know what you think or if you use it!
