Gamma & Volatility Levels [Pro]General Purpose
This indicator analyzes volatility levels and expected price movements, combining gamma concepts (financial options) with volatility analysis to identify support and resistance zones.
Main Components
High Volatility Level (HVL): Calculates a volatility level based on the simple moving average (SMA) of the price plus one standard deviation. This level is represented by an orange line showing where volatility is concentrated.
Expected Movement (Movimiento Esperante): Uses the Average True Range (ATR) multiplied by an adjustable factor to project potential upward and downward movement ranges from the current price. It is drawn in green (upward) and red (downward).
Gamma Levels (Nivelas Gamma): Identifies two key levels: the call resistance (highest high of the last 50 periods) in blue, and the put support (lowest low) in purple. These are based on recent extreme prices.
Additional Information: The indicator calculates the percentage distance between the current price and the HVL, displaying it in a label.
Visual Elements
Colored lines on the chart for each level.
Labels with exact values next to each line.
A table in the upper right corner summarizing all calculated values.
Options to show or hide each element according to preference.
This is a useful tool for traders who work with options or seek to identify levels of extreme volatility and dynamic support/resistance zones.
Zmienność
VLinerMarket R1"VLiner Market R1" is our debut volume analysis tool designed to provide traders with comprehensive market insights through basic volume analysis - Delta volume. Inspired by the principles of an Order-Flow Trader.
Further details:
Market R1 features a unique design approach that combines two powerful analytical components, Volume Oscillator and Delta Bubbles (tick-volume).
The VO tracks 15-minute candle momentum using white/orange color coding.
Whilst the Delta Bubbles track 30-minute candle buy/sell pressure.
Documents:
The full User's manual for the use and concepts of this indicator is available on MT Blue's website
: mtblue-nsg.com
R1 uses:
- Tick movement volume (not real data volume)
- A look-back system for *semi-stochastic oscillation (delta toning: white & orange part of the VO's line)
Slight concerns:
- Although it may seem to be an indicator trading tool; it is Not .
This indicator only provides visualization for educational purposes, and is strictly advised Not to be use for trading/investing executions.
Hybrid Confluence (RSI,MFI,StochRSI) Two-Tier Momentum Framework
Many traders explore multi-oscillator hybrid confluence approaches that combine momentum and volume signals—most commonly RSI, Money Flow Index (MFI), and Stochastic RSI—to study stretched market conditions. These hybrid concepts are widely used to analyze potential exhaustion zones, cycle extremes, and periods of sustained buying or selling pressure across different timeframes.
This script does not replicate, reverse-engineer, or replace any paid or closed-source indicator.
Instead, it provides a fully transparent framework built exclusively from standard, well-documented technical indicators. All calculations are explicit and configurable, allowing traders to study hybrid momentum behavior without relying on proprietary logic or black-box tools.
What the Script Does
1. Builds a hybrid momentum confluence model
The script combines three widely used oscillators:
• RSI (Relative Strength Index) — price momentum
• MFI (Money Flow Index) — volume-weighted momentum
• Stochastic RSI — momentum relative to its own recent range
Each component operates on a normalized 0–100 scale, allowing meaningful comparison and aggregation.
2. Implements a clear two-tier signal structure
Instead of producing a single binary buy/sell output, the script separates early pressure from extreme conditions:
2-of-3 Confluence (Setups)
When any two of the three oscillators reach oversold or overbought levels:
• Displayed as semi-transparent circles
• Indicates building pressure or a developing condition
• Designed as a heads-up, not a trade signal
3-of-3 Confluence (Signals)
When all three oscillators reach oversold or overbought levels:
• Displayed as prominent vertical bars spanning the oscillator range
• Represents extreme momentum alignment
• Intended to highlight potential exhaustion zones
3. Visualizes sustained pressure using consecutive signal intensity
When 3-of-3 conditions persist across multiple bars:
• Each consecutive bar becomes progressively darker
• Up to six discrete intensity levels
• Darkness reflects duration and persistence, not prediction
This helps visualize scenarios where markets continue pushing higher or lower before a major turning point, rather than assuming a single signal marks the exact top or bottom.
4. Works across markets and timeframes
Because all inputs rely on standard technical indicators:
• Works on crypto, equities, futures, and FX
• Scales naturally from intraday to higher timeframes
• Can be used on Daily and multi-day charts for macro context
Why This Script Is Useful
Traditional oscillators often produce isolated signals that lack context. This framework adds clarity by:
1. Requiring multi-indicator agreement instead of single-signal triggers
2. Separating early pressure from extreme conditions
3. Showing how momentum can persist before a reversal
4. Avoiding binary “buy now / sell now” outputs
5. Remaining transparent and configurable
This makes the tool especially useful for:
• Swing traders
• Macro and cycle-focused traders
• Crypto traders studying extended momentum phases
• Analysts who prefer contextual signals over rigid rules
How to Use
1. Adjust RSI, MFI, and StochRSI lengths to suit your timeframe
2. Observe 2-of-3 circles as early warnings of building pressure
3. Watch 3-of-3 bars for extreme momentum alignment
4. Note increasing bar intensity as pressure persists
5. Combine with structure, trend, volume, or price action for decisions
This script is best used as a contextual tool, not a standalone trading system.
What This Script Is Not
• Not a recreation of any paid or proprietary indicator
• Not affiliated with any trading educator or platform
• Not intended as a predictive or standalone trading system
• Does not claim to identify exact tops or bottoms
All signals are derived solely from openly documented RSI, MFI, and Stochastic RSI calculations.
Important Notes
• This script is original, with a transparent methodology
• All calculations use standard, well-known technical formulas
• No hidden logic or undisclosed weighting is used
• Signal visuals are descriptive, not predictive
Disclaimer
This tool is provided for educational and analytical purposes only.
It does not constitute financial advice or a recommendation to trade.
Always validate settings, test on multiple assets and timeframes, and use proper risk management before trading live.
VixTrixVixTrix - Because markets move in both directions.
VixTrix was born from a fundamental limitation in traditional volatility indicators: they only measure downside panic, completely missing the greed-driven extremes that form market tops.
How It Works:
Dual-Component Analysis:
vixBear = Panic selling intensity (distance from recent highs)
vixBull = FOMO buying intensity (distance from recent lows)
Oscillator = vixBear - vixBull = Net fear/greed imbalance
When the oscillator is positive, fear dominates (potential bottom forming). When negative, greed dominates (potential top forming).
Professional-Grade Filtering:
The magic happens with the symmetric RMS (Root Mean Square) bands. Unlike fixed percentage bands or standard deviation, RMS:
Creates mathematically symmetric positive/negative thresholds
Naturally adapts to changing volatility regimes
Provides statistical significance to extremes
VixTrix also adds selectable MA smoothing for the RMS calculation:
WMA (default): Balanced – middle-ground approach
VWMA: Volume-weighted – filters low-volume noise
EMA: Responsive – catches quick reversals
SMA: Stable – for swing trading
HMA: Fast and smooth – ideal for day trading
Signals require triple confirmation:
Statistical Extreme: Oscillator beyond RMS band
Price Action Confirmation: Correct candle color (bullish for bottoms, bearish for tops)
Momentum Continuation: Oscillator still moving toward extreme (exhaustion)
This multi-filter approach reduces premature entries and false signals while maintaining early positioning at potential reversal points.
Why This Matters for Your Trading:
In bull markets, traditional fear indicators sit near zero, giving no warning of impending tops.
VixTrix identifies when greed becomes excessive – when FOMO buying reaches statistical extremes that often precede corrections.
In range-bound markets, VixTrix excels at identifying overreactions in both directions, providing high-probability mean reversion opportunities.
During crashes, it captures the panic selling with the same precision as VixFix, but with better timing through its momentum confirmation.
VixTrix spots continuations through:
"No Signal" = Healthy Trend – Oscillator stays between RMS bands (no exhaustion)
Failed Extremes – Touches band but no triple confirmation = trend likely continues
Hidden Divergence – Price makes higher low while oscillator makes shallower low = uptrend continues
Controlled Emotions – Oscillator negative but not extreme in uptrends (greed present but not excessive)
Key Insight: When VixTrix doesn't give a signal during a pullback, institutions aren't panicking – they're just pausing before resuming the trend.
Green columns = Bullish exhaustion (potential bottoms)
Red columns = Bearish exhaustion (potential tops)
Golden RMS bands = Dynamic thresholds adapting to current volatility
Background highlights = Active signal conditions
The Result: A professional-grade oscillator that works in all market conditions – trending up, trending down, or ranging – by measuring the complete emotional spectrum driving price action.
ZigZag++ UltraAlgo EditionLagging indicator used to understand trends and entry / exit points. Suggest using at 4h - 1d intervals first, then 1-2h, to identify zones of opportunities and validate your position.
Vega Crypto Strategies Gatekeeper LITE🎯 VEGA CRYPTO STRATEGIES: GATEKEEPER LITE - Stop Trading During Market Noise (FREE)
The Problem: 90% of the time, crypto markets are in "chop" - sideways, noisy conditions where most trades lose money. You need a way to identify when the market is actually tradeable.
The Solution: Vega Gatekeeper LITE uses a proven multi-factor scoring system to tell you exactly when to trade (IMPULSE) and when to stay in cash (CHOP).
✅ LITE VERSION FEATURES (FREE)
Core Detection:
✓ Chop vs Impulse classification
✓ Real-time scoring (0-10 scale)
✓ Color-coded background (green = trade, red = wait)
✓ Clear state labels on chart
✓ Live dashboard with current status
Customization:
✓ 3 sensitivity levels (Low/Medium/High)
✓ Toggle background colors
✓ Toggle chart labels
✓ Basic alerts (2 types)
What You Get:
Simple, clean interface
Works on all timeframes
No complex settings
Instant visual feedback
Perfect for beginners
📊 HOW IT WORKS
The indicator analyzes 4 key market components:
Trend Strength (ADX) - Is there a clear direction?
Momentum (RSI + MACD) - Is the move accelerating?
Volatility (Bollinger Bands + ATR) - Is the market expanding?
Volume - Is there institutional interest?
Each component contributes to a score from 0-10:
Score ≥ 4: IMPULSE (tradeable condition) 🟢
Score < 4: CHOP (stay in cash) 🔴
🎨 VISUAL ELEMENTS
On Your Chart:
Light green background = IMPULSE (trade)
Light red background = CHOP (wait)
Labels showing current state + score
Top-right dashboard with live status
Dashboard Shows:
Current state (IMPULSE/CHOP)
Live score (X/10)
Recommended action (TRADE/WAIT)
Upgrade reminder
💎 UPGRADE TO FULL VERSION
Want more precision? The FULL version includes:
Advanced Features:
✅ Detailed 10-point scoring breakdown
✅ Entry/exit signal markers (triangles)
✅ Component analysis dashboard
✅ Trend, momentum, volatility, volume status
✅ 5 customizable alert types
✅ Directional bias indicators
✅ 15+ adjustable parameters
✅ Priority email support
See exactly WHY each signal triggers and get precise entry/exit points!
🚀 Upgrade Now: vegacryptostrategies.com
📈 BEST PRACTICES
For Swing Trading (Daily Chart):
Use Medium sensitivity
Only enter during IMPULSE
Exit when CHOP appears
For Day Trading (4H/1H Chart):
Use Low sensitivity (more conservative)
Combine with support/resistance
Tighter stops during CHOP transitions
For All Timeframes:
Higher scores = higher confidence
Don't trade during CHOP (score < 4)
Use as a filter, not standalone system
⚠️ DISCLAIMER
Trading involves substantial risk of loss. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never risk more than you can afford to lose.
🚀 GET STARTED
Add indicator to your chart
Choose sensitivity (Medium recommended)
Wait for IMPULSE signal (green background)
Trade in direction of the market
Exit when CHOP appears (red background)
It's that simple!
📚 LEARN MORE
Based on the Vega Trading System's Stage 1 "Gatekeeper" model - a proven approach to filtering market noise and improving win rates.
Philosophy: "The best trade is often no trade. Stay in cash during chop, trade during impulse."
Full Dashboard Access: vegacryptostrategies.com
💬 CONTACT & SUPPORT
Website: vegacryptostrategies.com
Email: admin@vegacryptostrategies.com
Twitter: @VegaCryptoStrat | @VegaCryptoQuant
Questions? Feedback? Want to upgrade? Reach out anytime!
Powered by Vega Crypto Strategies 🚀
📈 BEST PRACTICES
For Swing Trading (Daily Chart):
Use Medium sensitivity
Only enter during IMPULSE
Exit when CHOP appears
For Day Trading (4H/1H Chart):
Use Low sensitivity (more conservative)
Combine with support/resistance
Tighter stops during CHOP transitions
For All Timeframes:
Higher scores = higher confidence
Don't trade during CHOP (score < 4)
Use as a filter, not standalone system
⚠️ DISCLAIMER
Trading involves substantial risk of loss. This indicator is for educational purposes only and does not guarantee profits. Past performance does not indicate future results. Always do your own research and never risk more than you can afford to lose.
🚀 GET STARTED
Add indicator to your chart
Choose sensitivity (Medium recommended)
Wait for IMPULSE signal (green background)
Trade in direction of the market
Exit when CHOP appears (red background)
It's that simple!
📚 LEARN MORE
Based on the Vega Trading System's Stage 1 "Gatekeeper" model - a proven approach to filtering market noise and improving win rates.
Philosophy: "The best trade is often no trade. Stay in cash during chop, trade during impulse."
💬 SUPPORT
Questions? Feedback? Want to upgrade?
Tags: crypto, bitcoin, trading, signals, chop, impulse, filter, noise, indicator, strategy, trend, momentum
AlgoZ Pro v2.4.3 [LITE] - Adaptive Trend SystemOverview
AlgoZ Pro v2.4.3 is a high-precision trend-following system designed to filter market noise and keep you on the right side of the trend. Built on an advanced ATR-adaptive engine, this indicator dynamically adjusts its sensitivity to market volatility, providing clear entries and trailing stop-loss levels for Scalpers and Day Traders.
How It Works
The system uses a volatility-based "Trailing Cloud" to identify the dominant trend.
Green Cloud: Bullish Trend (Look for Longs)
Red Cloud: Bearish Trend (Look for Shorts)
Labels:
Clear BUY/SELL text labels appear when the trend flips, confirmed by volatility expansion.
Lite Features (Included)
Adaptive Trend Cloud: Visualizes the trend direction instantly.
Smart Trailing Stops: The trend line acts as a dynamic stop-loss level.
Signal Labels: Clean Buy/Sell markers on chart.
Multi-Timeframe Logic: Optimized for 5m, 15m, and 4H timeframes.
UNLOCK THE FULL SUITE (PRO v2.4.3)
This script is the "Lite" version of the complete AlgoZ Pro system. By upgrading to the full source code version, you unlock the institutional toolkit used by professional traders:
1. 🏦 Smart Money Range (SMR) Zones Automatically draws institutional Support & Resistance zones based on Donchian liquidity levels. Stop guessing where price will bounce.
2. 📊 Volume Divergence System Detects hidden reversals before they happen by analyzing volume/price disagreements.
3. 🛡️ "Strict Mode" Filters Includes our proprietary "Anti-Spam" filter that uses MFI, RSI, and Candle Color logic to eliminate false signals during choppy markets.
4. 📈 Built-in Backtester See the real-time Win Rate, Profit Factor, and Drawdown directly on your chart. Know the math before you trade.
5. 💎 100% Source Code Ownership Get the complete Pine Script code. Modify the logic, build your own bot, and own the system forever with no monthly fees.
👉 Get the PRO Source Code & SMR Zones here: www.algozpro.com
Range Breaker [MOT]Range Breaker - Volatility Compression System
Range Breaker is a technical analysis tool designed to identify periods of market consolidation (volatility compression) and generate signals when the market transitions into an expansion phase (breakout). Unlike static box tools that require manual drawing, this script uses an adaptive, volatility-based algorithm to automatically detect, draw, and monitor trading ranges in real-time. It adapts to changing market conditions by comparing recent price action against the asset's Average True Range (ATR).
METHODOLOGY & CORE CONCEPTS
1. Volatility Compression Detection
The script's primary engine is a "Tightness Filter." It continuously measures the distance between the highest high and lowest low over a lookback period.
The Logic: It compares this raw range size against the ATR multiplied by a specific threshold. If the current range is significantly smaller than the historical average volatility, the script identifies this as a "Consolidation" event and begins constructing a box.
Adaptive Thresholds: This method ensures the indicator works across all assets (Crypto, Forex, Stocks) because the definition of "tight" is relative to the asset's own volatility, not a fixed price distance.
2. Dynamic Range Expansion
Originality lies in how the script manages an active range. A consolidation phase is not static; it breathes.
The Mechanism: If price pushes the boundary of the box but remains within the consolidation logic (does not close outside with momentum), the box dynamically expands to include the new data. This prevents premature signals and accurately captures the full "churn" of the accumulation/distribution phase.
3. Signal Generation Models
The script offers two distinct ways to trade the detected ranges:
Momentum Breakouts: A signal is triggered when a candle closes decisively outside the box boundaries (plus a buffer).
Wick Reversals (Mean Reversion): The script identifies "False Breakouts" where price probes outside the range but fails to close there (leaving a long wick). If confirmed by the subsequent candle, this signals a potential reversal back to the midline.
A chart showing a highlighted consolidation box with a "Vol Break" signal triggering on the breakout.
Visualizing volatility compression followed by a confirmed momentum breakout.
A chart showing a "Wick Reversal" signal where price poked out of the box but failed to close, indicating a trap/reversal back into the range.
False Breakout Detection: The script identifies liquidity traps at the range edges.
FEATURES & SETTINGS
Preset Profiles
To make the tool instantly usable for different styles, we have included tuned preset profiles that adjust the ATR multipliers and lookback periods automatically:
Tight Ranges: For scalping on lower timeframes.
Normal Ranges: Balanced settings suitable for most intraday and short-term swing trading strategies (Default).
Swing Trading: Looser parameters for capturing multi-day consolidations.
Options Selling: Optimized to find long, sideways chop ideal for theta strategies.
The settings menu showing the "Preset" dropdown selected.
Built-in profiles allow for quick adaptation to different market environments.
Volume Confirmation
The Volume Filter: Users can enable a "Volume Spike" requirement. This checks if the breakout candle's volume is significantly higher than the average volume (e.g., > 1.7x), helping to filter out "fakeouts" that lack institutional participation.
Visual Customization
Full control over Box colors, borders, and midlines.
Toggle signals for "Wick Reversals" and standard "Breakouts" independently.
HOW TO USE & BEST PRACTICES
The Squeeze: Use this tool to identify "the calm before the storm." Long periods of consolidation (large boxes) often lead to more explosive moves.
Breakout & Retest Strategy: While the script signals the initial breakout, conservative traders often wait for price to pull back and "retest" the range extreme (Box Top/Bottom) or the Midline as support/resistance. Entering on this confirmation often provides a better risk-to-reward ratio.
Risk Management: Stop losses can be strategically placed based on your style. Aggressive traders might place stops below the entry candle, while conservative traders often place them below the opposite side of the range box to allow for volatility.
Filtering Fakeouts: We highly recommend enabling the "Confirm with Volume Spike" option in the settings. Breakouts accompanied by low volume often fail and return to the range.
Reversals: In choppy sideways markets, use the "Wick Reversal" signals to trade from the edges back toward the midline (Mean Reversion).
ALERTS
The script includes the following alert conditions:
Range Detected: Triggered when a new consolidation phase begins.
Range Breakout: Triggered when price closes outside the box.
Breakout with Volume Confirmation: Triggered only when a breakout is accompanied by a significant volume spike, allowing for filtered automated entries.
Range Reversal: Triggered on confirmed Wick Reversal setups.
⚠️ DISCLAIMER
This script is for educational and analytical purposes only. It does not constitute financial advice. Trading involves significant risk. Past performance of the logic described is not indicative of future results.
Custom RSI + Divergence + Bold Lines (v6, matched)📌 Custom RSI with Divergence & Dynamic Coloring
This indicator enhances the classic Relative Strength Index (RSI) by combining
dynamic visual feedback with automatic regular divergence detection.
It is designed to help traders quickly identify overbought / oversold conditions
and potential momentum shifts through clear and intuitive visualization.
⸻
🔍 Key Features
1️⃣ Dynamic RSI Line Coloring
• Overbought zone (RSI > Overbought level) → RSI line turns green
• Oversold zone (RSI < Oversold level) → RSI line turns red
• Neutral zone → RSI line remains white
This allows instant recognition of the current RSI state.
⸻
2️⃣ Overbought / Oversold Visual Highlighting
• Clear overbought and oversold reference lines
• Background shading when RSI enters these zones
→ improves signal visibility and reaction speed
⸻
3️⃣ Automatic Regular Divergence Detection
• Bullish Divergence
• Price makes a lower low
• RSI makes a higher low
• Pivot lows are connected with a bold green line
• Bearish Divergence
• Price makes a higher high
• RSI makes a lower high
• Pivot highs are connected with a bold red line
Pivot points are connected directly, making divergence structures easy to identify at a glance.
⸻
4️⃣ Clear Signal Markers
• Bullish divergence: ▲ (bottom of the RSI pane)
• Bearish divergence: ▼ (top of the RSI pane)
⸻
⚙️ Inputs
• RSI Length
• Overbought / Oversold Levels
• Pivot Length (controls divergence sensitivity)
⸻
💡 How to Use
• Oversold + Bullish Divergence → Potential rebound setup
• Overbought + Bearish Divergence → Potential pullback or reversal
• Best used in combination with trend analysis, support/resistance, and volume
⸻
⚠️ Notes
• Divergence signals are probabilistic, not guaranteed.
• In ranging markets, divergences may appear more frequently.
• Always apply proper risk management.
⸻
🎯 Best For
• Traders who actively use RSI
• Traders looking for clean and intuitive divergence visualization
• Users who prefer minimal but informative indicators
online Moment-Based Adaptive Detection🙏🏻 oMBAD (online Moment-Based Adaptive Detection): adaptive anomaly || outlier || novelty detection, higher-order standardized moments; at O(1) time complexity
For TradingView users: this entity would truly unleash its true potential for you ‘only’ if you work with tick-based & seconds-based resolutions, otherwise I recommend to keep using original non-online MBAD . Otherwise it may only help with a much faster backtesting & strategy development processes.
...
Main features :
O(1) time complexity: the whole method works @ O(1) time complexity, it’s lighting fast and cheap
HFT-ready: frequency, amount and magnitude of data points are irrelevant
Axiomatic: no need to optimize or to provide arbitrary hyperparameters, adaptive thresholds are completely data-driven and based on combination of higher-order central moments
Accepts weights: the method can gain additional information by accepting weights (e.g. volume weighting)
Example use cases for high-frequency trading:
Ordeflow analysis: can be applied on non-aggregated flow of market orders to gauge its imbalance and momentum
Liquidity provision: can be applied to high-resolution || tick data to place and dynamically adjust prices of limit orders
ML-based signals: online estimates of higher-order central moments can be used as features & in further feature engineering for trading signal generation
Operation & control: can be applied on PnL stream of your strategy for immediate returns analysis and equity control
Abstract:
This method is the online version of originally O(n) MBAD (Moment-Based Adaptive Detection) . It uses higher-order central & standardized moments to naturally estimate data’s extremums using all data while not touching order-statistics (i.e. current min and max) at all. By the same principles it also estimates “ever-possible” values given the data-generating process stays the same.
This online version achieves reduced time complexity to O(1) by using weighted exponential smoothing, and in particular is based on Pebay et al (2008) work, which provides mathematically correct results for the moments, and is numerically stable, unlike the raw sum-based estimates of moments.
Additionally, I provide adjustments for non-continuous lattice geometry of orderbooks, and correct re-quantization math, allowing to artificially increase the native tick size.
The guidelines of how to adjust alpha (smoothing parameter of exponential smoothing) in order to completely match certain types of moving averages, or to minimize errors with ones when it’s impossible to match; are also provided.
Mathematical correctness of the realization was verified experimentally by observing the exact match with the original non-recursive MBAD in expanding window mode, and confirmed by 2 AI agents independently. Both weighted and non-weighted versions were tested successfully.
...
^^ On micro level with moving window size 1
^^ With artificial tick size increase, moving window size 64
^^ Expanding window mode anchored to session start
^^ Demonstrates numerical stability even on very large inputs
...
∞
CVD Candle Divergence IndicatorThis indicator identifies potential reversal points by comparing the direction of price candles with the direction of cumulative volume delta (CVD) candles, while applying additional filters based on RSI behavior, volume strength, and candlestick wick structure.
It aims to highlight situations where price movement and volume delta disagree, which can signal fading momentum or absorption.
Core Concept
The script combines several independent conditions that must occur simultaneously before a signal is displayed on the chart. A signal appears only when all filters agree, reducing the number of low-quality or noise-based setups.
1. CVD Candle Direction
The indicator uses TradingView’s built-in function for volume delta candles. These candles summarize buying and selling aggression derived from lower-timeframe volume.
A CVD green candle indicates more buyer-initiated volume.
A CVD red candle indicates more seller-initiated volume.
The script looks for instances where price and CVD candles disagree:
Bullish signal: price candle is green while CVD candle is red
Bearish signal: price candle is red while CVD candle is green
This creates a form of divergence using volume delta instead of price highs and lows.
2. RSI Context Filter
Momentum is evaluated through RSI. Instead of relying only on standard overbought/oversold levels, the script also includes a recency filter based on the RSI midline (50 level).
RSI Threshold
Users can specify the RSI value required for bullish and bearish conditions.
Recency Filter
The indicator only allows signals if RSI has crossed the 50 level within a user-defined number of bars. This prevents signals during extended one-directional trends where divergence is less meaningful.
3. Volume Strength Filter
Signals are filtered through a volume-based requirement:
Current volume must exceed a moving average of volume multiplied by a user-defined factor.
This ensures that signals appear only during periods with sufficient participation and reduces noise during low-volume consolidation.
4. Wick-to-Body Ratio Filter
To incorporate price-action characteristics, the script evaluates the wick structure of each candle:
Bullish signals require a sufficiently large lower wick relative to the total candle range.
Bearish signals require a sufficiently large upper wick relative to the total candle range.
The wick percentage is fully configurable.
This adds a rejection or absorption component to the logic and prevents signals on weak or indecisive candles.
Signal Conditions
A bullish signal appears when all of the following are true:
Price candle is green
RSI is below the bullish threshold
CVD candle is red
Volume is above its threshold (if enabled)
RSI has interacted with the 50 level recently
Lower wick meets the wick-percentage requirement
A bearish signal requires the opposite conditions:
Price candle is red
RSI is above the bearish threshold
CVD candle is green
Volume is above its threshold (if enabled)
RSI recently interacted with the 50 level
Upper wick meets the wick-percentage requirement
Signals appear as arrows directly on the chart.
Use Cases
This indicator is intended for traders who work with:
Momentum shifts
Volume delta analysis
Candle structure-based confirmation
Reversal or exhaustion setups
Divergence concepts beyond price highs/lows
It does not predict market direction. Instead, it highlights areas where multiple conditions suggest a potential imbalance between price movement and volume delta.
I would strongly suggest to use this indicator only on timeframes 2-15m.
Here are a few examples:
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.
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.
Płatny skrypt
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.
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.
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.
FxAST Trend Force [ALLDYN]Attribution
This indicator is based on the original Trend Speed Analyzer created by Zeiierman .
FxAST Trend Force is a modified and simplified derivative that preserves the core methodology while focusing on clarity, usability, and practical trend interpretation .
This indicator is intended for educational and analytical use. Derivative works must retain attribution and license terms.
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FxAST Trend Force
Overview
FxAST Trend Force is a directional pressure indicator designed to show who is in control of the market and how strong that control is, in real time.
Instead of measuring raw price speed or traditional momentum, this tool focuses on trend force — the sustained push of price relative to a dynamic trend baseline. The result is a clean, intuitive view of trend direction, strength, and condition without complex math or hard-to-interpret ratios.
This indicator is best used as a trend confirmation and trade management tool , not a standalone signal generator.
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How It Works
FxAST Trend Force uses a Dynamic Moving Average (DMA) that adapts to changing market conditions. Price behavior relative to this adaptive trend line determines the current trend regime.
While price remains on one side of the trend:
Directional pressure accumulates
Strength builds or weakens
The regime resets only when price decisively crosses the trend
This creates a clear visual representation of trend persistence vs exhaustion , rather than short-term noise.
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Core Concepts (Plain English)
Trend
Shows the current directional bias:
Bull → price above the dynamic trend
Bear → price below the dynamic trend
This answers: “Which side is currently in control?”
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Strength
Displays how strong the current trend pressure is on a 0–100 scale , normalized to recent market conditions.
Strength is shown both as:
A simple label: Weak / Normal / Strong
A visual meter for quick interpretation
This answers: “Is this move weak, average, or meaningful?”
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State
Indicates whether trend force is:
Building → pressure increasing
Fading → pressure weakening
This answers: “Is the trend gaining energy or losing it?”
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Visual Meter
A compact bar at the bottom of the table represents trend force intensity at a glance.
Longer bar → stronger sustained pressure
Shorter bar → weaker or stalling trend
No ratios. No multipliers. Just visual clarity.
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How to Use
Trend Confirmation
Favor longs when Trend = Bull and Strength = Normal/Strong
Favor shorts when Trend = Bear and Strength = Normal/Strong
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Trade Management
Building state supports continuation
Fading state warns of exhaustion, consolidation, or potential reversal
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Filtering Noise
Weak strength often signals chop or low-quality conditions
Strong force helps filter false breakouts
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Settings (Simplified)
Maximum Length
Controls how smooth or responsive the dynamic trend is.
Accelerator Multiplier
Adjusts how quickly the trend adapts to price changes.
Lookback Period
Defines the window used to normalize trend force.
Enable Candles
Colors price candles by trend force for visual clarity.
Show Simple Table
Toggles the Trend / Strength / State display.
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Philosophy
FxAST Trend Force is intentionally not a signal-spamming indicator.
It is designed to reduce cognitive load , not increase it.
If you need:
exact entries → use price action
exact exits → use structure
context and confirmation → use Trend Force
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Disclaimer
This indicator is provided for educational purposes only and does not constitute financial advice. Trading involves risk, and users are responsible for their own decisions.
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.
CODEX OB + BBMA V1CODEX OB + BBMA is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals.
In addition to SMC tools, this indicator also incorporates multi-timeframe BBMA logic, allowing traders to view higher-timeframe momentum, trend direction, and volatility envelopes directly from the current chart. This makes it easier to align SMC setups—like OB, FVG, and BOS—with BBMA structure such as MA touches, re-entry zones, extreme candles, and volatility expansions.
This combination helps traders identify institutional footprints, multi-timeframe confluence, and displacement-based setups with high clarity.
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.
