Range-Weighted Volatility (Comparable)I wrote an indicator to measure volatility inside a range. It’s extremely useful for choosing a trading pair for grid strategies, because it lets you quickly, easily, and fairly identify which asset is the volatility leader. It measures volatility “fairly” relative to the asset’s trading range, not just by absolute price changes.
For example: if an asset trades in a 50–100 range and over a week it moves many, many times between 52 and 98, then it’s highly volatile. But if another asset trades in a 50–1000 range and makes the same 52–98 moves, its volatility is actually low — because the “weight” of that movement relative to the full range is small. The indicator accounts for this “movement weight” relative to the range, then sums these weights into a single number. That number makes it easy to judge whether an asset is suitable for a grid strategy.
That’s exactly what grids need: not just high volatility, but high volatility within a narrow range.
Settings: the Window (bars) field defines how many bars are used to calculate volatility. On a 5-minute chart, one week is 2016 bars (2460/57). By default, the script calculates over 30 days on 5-minute charts. The script also allows you to set a second symbol for comparison, so you can see both results on the same chart.
Написал индикатор для определения волатильности в диапазоне, очень-очень полезно для выбора торговой пары на гриде, позволяет легко и быстро и честно определить лидера по волатильности, при этом определяет ее "честно", относительно торгового диапазона, а не просто изменения цены.
Например если актив торгуется в диапазоне 50-100 и за неделю много-много раз сходил 52-98, то это очень волатильный актив, и в то же время если актив торгуется в диапазоне 50-1000 и сходил так же 52-98, то это будет низко волатильный актив, т.е. учитывается "вес" движения относительно диапазона и данные "веса" суммируются в одну единую цифру по которой и можно оценивать насколько актив подходит под грид стратегию.
А ведь именно это для гридов и нужно, не просто высокая волатильность, а именно высокая волатильность в узком диапазоне.
Касательно настроек , в поле Windows (bars) задается количество баров по которым скрипт будет считать волатильность, на 5-ти минутки неделя это 2016 (24*60/5*7), стандартно скрипт считает за 30 дней на 5-ти минутки. + в самом скрипте можно указать вторую пару для сравнения чтоб на одном графике увидеть результат.
Volatilität
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.
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.
Ghost Protocol: Smart Money HUD [Ash_TheTrader]👻 GHOST PROTOCOL: The Institutional HUD
"Stop trading blind. Start seeing where the Smart Money is hiding."
Most indicators lag. They tell you what happened. Ghost Protocol tells you what is happening right now by combining two powerful concepts: Volume Absorption (Whale Defense) and Kinematic Physics (Price Velocity).
This is not just an indicator; it is a complete Heads-Up Display (HUD) for scalpers and day traders on NQ, ES, Gold, and Crypto.
🧠 The Concept: Why It Works
Retail traders lose money for two reasons:
Selling into a bottom (where Whales are absorbing orders).
Buying a fake breakout (where price lacks the energy to continue).
Ghost Protocol solves both by visualizing the invisible battle between aggressive orders (Retail) and passive limit orders (Institutions).
🛠️ The 3 Core Features
1. The "Ghost Walls" (Reversal Detector) 🛡️
What it is: Detects when massive volume hits the market but Price fails to progress. This is Absorption. A "Whale" is using a Limit Order Wall to absorb panic selling or FOMO buying.
The Visual:
🟢 Green Ghost Bubble + Beam: Buyers are absorbing sellers. (Bullish Wall).
🔴 Red Ghost Bubble + Beam: Sellers are absorbing buyers. (Bearish Wall).
Sticky Tech: The bubbles "stick" to the wicks perfectly, regardless of zoom level.
2. The "Velocity Terminal" (Breakout Validator) 🚀
What it is: A Physics Engine for price. It calculates Jerk (Change in Acceleration). Standard breakouts often fail, but a breakout with high "Jerk" (Surge) rarely comes back.
The Visual:
🟣 Plasma Purple Candle: Valid Breakout. Price is moving with high physical energy. Safe to follow.
⚪ Grey/Dull Candle: Fakeout. Price broke a level but lacks energy. The move is likely a trap.
3. The Smart Money Dashboard 💻
A sleek, "Classy" panel in the bottom right corner.
Monitors both engines simultaneously:
GHOST WALL: Scans for Reversals (Buy/Sell Walls).
VELOCITY: Scans for Momentum (Surge/Fakeout).
🎯 How to Trade This Script
Strategy A: The "Whale Reversal" (Scalping)
Step 1: Wait for price to push hard into a level.
Step 2 : A Ghost Wall (Ghost Icon 👻) appears.
Step 3 : A vertical Neon Beam lights up the background.
Action: Take the reversal immediately. Place stop loss just behind the bubble.
Strategy B: The "Physics Breakout" (Trend Following)
Step 1: Price breaks a key resistance or support level.
Step 2: Look at the candle color.
If it is Plasma Purple: ENTER. The physics engine confirms true momentum.
If it is Grey: WAIT. It is likely a fakeout designed to trap you.
⚙️ Settings & Customization
Bubble Distance: Adjust how close the Ghost bubbles sit to the candles.
Sensitivity: Tune the "Jerk Threshold" for the physics engine.
Visuals: Toggle the Background Beams, Dashboard size, and Neon colors to fit your dark/light mode setup.
Created by @Ash_TheTrader Trade with the Whales, not against them.
SPX 0DTE Structured Chaos: UnHinged SPX 0DTE Structured Chaos: UnHinged ⚠️ v7.0 is an intraday momentum indicator designed exclusively for SPX 0DTE trading. It evaluates trades using price momentum, VWAP alignment, ADX trend strength, pivots, opening-range breakout levels, and gamma regime conditions, triggering signals only when confidence thresholds are met. ATR-based trailing stops and VWAP filters manage exits, and optional debug tables provide clear insight into the scoring behind each trade.
AlgoIndex NQ/MNQ FuturesAlgoIndex Futures v3.15 - NQ/MNQ (10-Minute RTH)
This strategy is specifically tailored for trading CME Nasdaq futures - NQ and MNQ, including continuous symbols such as NQ1!/MNQ1!. It is optimized for a 10-minute chart during U.S. Regular Trading Hours (RTH), utilizing session settings defined in the Inputs. This strategy is not intended for other futures contracts or markets.
Core Concept
The strategy employs an ATR-based trend-band model similar to Supertrend for identifying directional mechanism changes in NQ/MNQ. Trade signals are evaluated at the bar close, incorporating session and time-based safety techniques to mitigate lower-quality trading opportunities near session boundaries.
Recommended Use (Optimized Defaults)
The default input parameters are fine-tuned for NQ/MNQ on the 10-minute chart. Users are encouraged to utilize these defaults initially and to make incremental adjustments to one variable at a time to understand the impact on the strategy's performance, trading frequency, and risk profile.
Configurable Inputs
- Take Profit / Stop Loss Settings:
- Enable Stop Loss and define Stop Loss (Points)
- Enable Take Profit and define Take Profit (Points)
- Enable Trailing Stop and set both Trailing Stop (Points) and Trailing Offset (Points)
- Time Avoidance Filter:
- Enable Time Avoidance
- Avoid First X Minutes
- Avoid Last X Minutes
- Display Avoidance Zones (visual overlay)
- Session Filter and End-of-Day Management:
- Enable Session Filter
- Define Trading Session (default: 09:30-16:00)
- Select Session Timezone
- Option to Close Positions at Session End
- Specify EOD Close Minutes Before (default: 20)
- Safety Controls:
- Option to Close Before Holidays (when enabled, this feature allows the strategy to flatten positions prior to holiday or early close conditions)
- Automation Settings (Optional):
- Ticker Override (optional)
- Define Contracts (position size)
- Strategy Configuration:
- Trade Direction: Both / Long Only / Short Only
- Visual Configuration:
- Option to Show Buy/Sell Signals
- Highlight Trend Zones
- Display Info Table
- Customizable Bull/Bear Colors
Alerts and Automation (Optional)
This strategy can generate order-fill alert payloads for hooking into webhook-based automation solutions. Keep in mind to validate your alert type and your bridge/broker configuration during Replay and paper trading. Note that reversals may trigger two sequential actions (e.g., exit followed by new entry).
Backtest Notes (Optional)
For more precise historical fill data, consider enabling TradingView’s Bar Magnifier in Strategy Properties. Always apply consistent assumptions for commission and slippage when comparing backtest results.
Disclaimer
This script is intended for informational and educational purposes only and does not constitute investment advice. Trading futures carries significant risk and may result in losses that exceed the initial deposit. Backtested results are hypothetical and do not guarantee future performance.
TSLA 15min EntryTSLA 15min Entry
Indicator Type: Market Structure Breakout & Momentum Confirmation Tool
Timeframe: Optimized for 15-minute charts
The TSLA 15min Entry indicator is designed to identify high-probability directional setups based on structural breakout behavior combined with volume-weighted momentum confirmation.
It highlights potential entry zones where price is showing a decisive break from short-term equilibrium, then provides dynamic stop-loss and tiered take-profit targets to help manage trades systematically.
Key features include:
✅ Automatic Entry Signals: Generates clear LONG or SHORT entries when price confirms a structural breakout pattern.
🟡 Dynamic Stop-Loss: Optional “Tight SL” mode for active day traders, or a balanced default mode for smoother setups.
🔵 Tiered Take-Profit Lines: Displays up to three adjustable TP levels (TP1, TP2, TP3) directly on the chart.
⚙️ Clean Chart Options: Each line (SL, TP1–3) can be toggled on or off individually for a customizable view.
📊 Squeeze & Trend Panel: Helps visualize contraction and expansion phases in momentum — useful for timing entries during volatility shifts.
🕒 Session-Based Logic: All signals and lines reset daily, making it ideal for intraday traders focused on short-term market structure.
This indicator was specifically built and optimized for trading TSLA on the 15-minute timeframe.
Other tickers or timeframes are not recommended, as the logic and signal timing are tuned exclusively for TSLA’s price behavior and volatility.
Extended Hours must be turned on in your TradingView chart settings for the indicator to function properly.
⚠️ Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security. Always perform your own analysis and trade responsibly.
Tailwind.(BTC)Imagine the price of Bitcoin is like a person climbing a staircase.
The Steps (Grid): Instead of watching every single price movement, the strategy divides the market into fixed steps. In your configuration, each step measures **3,000 points**. (Examples: 60,000, 63,000, 66,000...).
The Signal: We buy only when the price climbs a full step decisively.
The "Expensive Price" Filter: If the price jumps the step but lands too far away (the candle closes too high), we do not buy. It is like trying to board a train that has already started moving too fast; the risk is too high.
Rigid Exits: The Take Profit (TP) and Stop Loss (SL) are calculated from the edge of the step , not from the specific price where you managed to buy. This preserves the geometric structure of the market.
The Code Logic (Step-by-Step)
A. The Math of the Grid (`math.floor`)
pinescript
level_base = math.floor(close / step_size) * step_size
This is the most important line.
What does it do? It rounds the price down to the nearest multiple of 3,000.
Example: If BTC is at 64,500 and the step size is 3,000:
1. Divide: $64,500 / 3,000 = 21.5$
2. `math.floor` (Floor): Removes the decimals $\rightarrow$ remains $21$.
3. Multiply: $21 * 3,000 = 63,000$.
Result: The code knows that the current "floor" is **63,000**, regardless of whether the price is at 63,001 or 65,999.
B. The Strict Breakout (`strict_cross`)
pinescript
strict_cross = (open < level_base) and (close > level_base)
Most strategies only check if `close > level`. We do things slightly differently:
`open < level_base`: Requires the candle to have "born" *below* the line (e.g., opened at 62,900).
`close > level_base`: Requires the candle to have *finished* above the line (e.g., closed at 63,200).
Why? This avoids entering on gaps (price jumps where the market opens already very high) and confirms that there was real buying power crossing the line.
C. The "Expensive Price" Filter (`max_dist_pct`)
pinescript
limit_price_entry = level_base + (step_size * (max_dist_pct / 100.0))
price_is_valid = close <= limit_price_entry
Here you apply the percentage rule:
-If the level is 63,000 and the next is 66,000 (a difference of 3,000).
-If `max_dist_pct` is **60%**, the limit is $63,000 + (60\% \text{ of } 3,000) = 64,800$.
-If the breakout candle closes at **65,000**, the variable `price_is_valid` will be **false** and it will not enter the trade. This avoids buying at the ceiling.
D. TP and SL Calculation (Anchored to the Level)
pinescript
take_profit = level_base + (step_size * tp_mult)
stop_loss = level_base - (step_size * sl_mult)
Note that we use `level_base` and not `close`.
-If you entered because the price broke 63,000, your SL is calculated starting from 63,000.
-If your SL is 1.0x, your stop will be exactly at 60,000.
This is crucial: If you bought "expensive" (e.g., at 63,500), your real stop is wider (3,500 points) than if you bought cheap (63,100). Because you filter out expensive entries, you protect your Risk/Reward ratio.
E. Visual Management (`var line`)
The code uses `var` variables to remember the TP and SL lines and the `line.set_x2` function to stretch them to the right while the operation remains open, providing that visual reference on the chart until the trade ends.
Workflow Summary
Strategy Parameters:
Total Capital: $20,000
We will use 10% of total capital per trade.
Commissions: 0.1% per trade.
TP: 1.4
SL : 1
Step Size (Grid): 3,000
We use the 200 EMA as a trend filter.
Feel free to experiment with the parameters to your liking. Cheers.
Momentum Turtle Swing StrategyMomentum Breakout Swing Tool — Overview
This indicator is built for traders who like breakout-style swing entries with a simple, disciplined structure. It blends trend context + momentum confirmation to highlight moments when price is more likely to continue rather than chop.
Core idea
Focus on directional expansion: it looks for points where price starts moving decisively after a period of structure building.
Signals are filtered so they appear primarily when the market is showing a clear directional bias, not when it’s indecisive.
Confirmation concept
Uses a trend context filter to stay aligned with the dominant market direction.
Adds a momentum sanity check so signals are less likely to trigger when strength is fading.
Position logic (unique signals)
Designed to keep signals clean and non-spammy: it produces distinct entry markers instead of repeated triggers in the same direction.
The internal flow treats market states as “in-trade / out-of-trade” to keep the chart readable.
Exit philosophy
Exits are based on a reactive market reference (to adapt when momentum cools or structure shifts), rather than fixed targets.
The goal is to stay in the move while it’s healthy and step aside when conditions degrade.
Best conditions
Works best in markets with clear swings and breakout continuation behavior.
Less effective in tight ranges or noisy sideways phases, where breakouts can fail more often.
For educational and analytical purposes only. Always forward-test on different markets and timeframes.
Confluence Signal Intelligence Indicators (CSI Indicators)CSI - Confluence Signal Intelligence is a dual-oscillator analysis tool that combines two specialized indicators in a single pane. It provides visibility into cycle exhaustion and statistical deviation conditions to help identify potential turning points.
The Two Oscillators
CEI - Cycle Exhaustion Index (Upper Section)
CEI measures where price sits within its recent cycle range and detects momentum depletion states. It identifies moments when a move has stretched beyond typical levels, which historically have preceded mean-reversion.
Normalized range from -1.0 to +1.0
Configurable exhaustion thresholds
Reversal signals (REV) when extreme zones begin turning
Cycle wave overlay showing peak/trough phases
Stepped confluence indicator between sections
PRG - PDF Reversal Gauge (Lower Section)
PRG applies statistical transforms across multiple timeframes to measure deviation from price norms. It combines readings from primary and secondary periods to create a confluence assessment.
Multi-period analysis for timing and confirmation
Strong Confluence (SC) signals at statistical extremes
Confluence scoring when multiple periods align
Deviation bars showing distance from mean
Signal Types
CEI Signals:
REV - Reversal signal when exhaustion zone begins turning
Triangle markers - Entry into exhaustion zones
X markers - Extreme exhaustion levels
PRG Signals:
SC - Strong Confluence signal when threshold met
Triangle markers - Standard reversal signals
Diamond markers - Multi-period confluence alignment
Visual Design
The pane is divided into two distinct sections with a separator line:
Upper Section (CEI) - Cycle analysis with area fill and confluence stepping
Lower Section (PRG) - Statistical gauge with deviation bars
Color Coding - Gold for strong confluence, Green/Red for direction, Gray for neutral
Zone Backgrounds - Shaded areas marking overbought/oversold regions
Information Table - Real-time values, zones, confluence scores, and signals for both oscillators
Configuration
CEI Settings:
Cycle period and exhaustion lookback
Signal smoothing and sensitivity
Upper/lower exhaustion thresholds
Extreme level definition
PRG Settings:
Primary and secondary periods
Smoothing and extreme threshold
Confluence sensitivity
Strong confluence threshold
Multi-period confluence toggle
Layout Settings:
Adjustable vertical positioning
Independent scale factors for each oscillator
Separator position control
Alert Conditions
CEI Alerts - Bull/Bear reversals, extreme exhaustion levels
PRG Alerts - Strong confluence buy/sell, standard reversals
Combined Alerts - Both oscillators signaling together, strong combined confluence
Companion Indicator
CSI - Confluence Signal Intelligence is the main chart overlay that generates BUY/SELL signals with confidence classifications (HIGH/MEDIUM/LOW). This oscillator pane is designed to work alongside it, showing the cycle and statistical dynamics that contribute to signal generation.
When using both together:
Main CSI provides analytical signals directly on the price chart
This pane reveals the underlying CEI and PRG oscillator states
Aligned readings across both indicate stronger confluence
Reading the Pane
For potential long setups:
CEI in lower exhaustion zone (OS) and rising
PRG in oversold territory and turning up
REV or SC labels appearing
Both oscillators showing elevated confluence scores
For potential short setups:
CEI in upper exhaustion zone (OB) and falling
PRG in overbought territory and turning down
REV or SC labels appearing
Both oscillators showing elevated confluence scores
The oscillators may not signal on the exact same bar. When readings cluster within a few bars, this suggests developing conditions that warrant attention.
Risk Disclosure
This indicator measures technical conditions—not future price direction. Confluence scores represent analytical assessments based on statistical deviation and cycle position, not guarantees of market movement. All trading involves substantial risk of loss. Use this tool alongside your own analysis and proper risk management. No indicator can predict future price movements with certainty.
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## AUTHOR'S INSTRUCTIONS:
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To request access to CSI - Confluence Signal Intelligence , please send a private message or visit frontieralgo.com/tradingview.
For best results, use alongside the main CSI overlay on the price chart.
Confluence Signal Intelligence (CSI)CSI - Confluence Signal Intelligence is a professional-grade analytical overlay that evaluates market conditions across multiple dimensions simultaneously. Rather than relying on a single indicator, CSI synthesizes multiple evidence factors and classification models into unified BUY/SELL signals with confidence classifications.
What It Does
CSI identifies potential reversal zones by detecting when multiple independent analytical components align in the same direction. Each signal displays a confidence classification:
HIGH - Strong multi-factor alignment (Gold labels)
MEDIUM - Moderate factor alignment
LOW - Limited factor alignment
Important : The confidence level measures analytical consensus—not a prediction of trade outcome. A HIGH reading means multiple components agree on directional bias at that moment, not that the trade will be profitable.
Multi-Factor Analysis
The classification system evaluates conditions across several categories:
Statistical Extremes - Normalized price transforms that identify stretched conditions
Momentum Indicators - Multiple oscillators confirming oversold/overbought states
Cycle Analysis - Gauges measuring exhaustion and potential turning points
Trend Alignment - Multi-timeframe directional agreement
Market Structure - Break of Structure events and swing point analysis
Pattern Classification - Models comparing current conditions to historical setups
Volume Analysis - Confirming directional moves with participation
Divergence Detection - Price/momentum disagreements across multiple oscillators
Classification Components
CSI incorporates multiple classification models (KNN, gradient boosting approximation, perceptron) that analyze current market conditions against historical patterns. These models contribute to the overall confidence assessment by identifying setups with characteristics similar to past formations.
Smart Money Concepts
The indicator includes institutional trading concepts:
Break of Structure (BOS) - Markers when price violates significant swing points
Order Blocks - Potential support/resistance zones based on price structure
Fair Value Gaps (FVG) - Price imbalances that may act as future reference points
Regime Detection - Background coloring distinguishing trending vs. ranging conditions
Key Features
Non-Repainting Mode - Optional bar-close confirmation prevents signal changes on the current bar
Adaptive Thresholds - Automatically adjusts sensitivity based on market volatility
Signal Filtering - Option to hide LOW confidence signals to reduce noise
Configurable Cooldown - Minimum bars between signals to prevent overtrading
Comprehensive Dashboard - Real-time display of key metrics and states
Trend EMAs - 20/50/200 period moving averages for context
Extensive Alerts - Conditions for signals, structure breaks, divergences, and more
Intended Use
CSI is designed as a decision-support tool for traders conducting their own analysis. It identifies moments of technical alignment that may warrant further investigation—it does not guarantee profitable outcomes. Market results depend on numerous variables beyond any single analytical tool.
The indicator works across all markets and timeframes.
Companion Indicator
CSI - Confluence Signal Intelligence is published separately and displays the underlying oscillators in their own pane:
CEI (Cycle Exhaustion Index) - Cycle position and momentum depletion measurement
PRG (PDF Reversal Gauge) - Statistical deviation scoring
When used together, the main CSI overlay provides signals on the chart while the oscillator pane offers visibility into the cycle and reversal dynamics contributing to those signals.
Risk Disclosure
This indicator is an analytical tool—not financial advice. Past performance does not guarantee future results. All trading involves substantial risk of loss. Confidence levels reflect internal model agreement only and should be considered alongside broader market context, your own analysis, and sound risk management practices. No indicator can predict future price movements with certainty.
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## AUTHOR'S INSTRUCTIONS:
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To request access to CSI - Confluence Signal Intelligence, please visit frontieralgo.com/tradingview or send a private message.
HAR Volatility ATR (Multi-Asset) - Andreus VillalobosIndicator based on the HAR (Hyper-Realized Volatility) model.
Combines daily, weekly, and monthly ATRs to project:
– Most probable price range (90%)
– Most probable take profit (60%)
Does not generate entry signals.
Designed for use in conjunction with:
market structure, liquidity, and price action.
Works on Forex, Indices, Gold, and Cryptocurrencies.
Vhenom ORB A+ (Professional)Vhenom ORB A+ (Professional)
Advanced Opening Range Breakout System with A+ Momentum & Failure Detection
What This Indicator Is
Vhenom ORB A+ (Professional) is a precision-built Opening Range Breakout system designed for active index futures traders who want early entries, objective confirmation, and protection against false breakouts.
This is not a generic ORB clone.
It is a multi-session, momentum-aware, reversal-aware trading framework built specifically to handle:
Explosive breakouts
Failed breakouts
Intraday continuation
Reversals back into range
Real-time decision-making (not just candle-close hindsight)
Core Philosophy
Most ORB indicators fail because they:
Only work at candle close
Treat all breakouts the same
Ignore volatility context
Provide no framework for failed moves
Vhenom ORB A+ solves all of that.
It does not tell you what to trade.
It tells you when conditions are objectively favorable.
🔹 Key Features
1️⃣ Multi-Session ORB Engine (NY Time)
Define ORBs across multiple intraday windows, not just the cash open:
NY Cash Open (09:30–09:45)
Midday Expansion
Power Hour
Evening Session
Overnight Sessions
Fully customizable ORB windows
Each ORB:
Draws High / Low / Midline in real time
Freezes when complete
Automatically rolls forward into the next session
No repainting of historical ORBs.
2️⃣ Real-Time Breakout Detection (Live Preview)
Unlike most indicators, Vhenom ORB A+ can signal intrabar:
Signals flicker live as price breaks the ORB
Signals confirm on candle close
If price re-enters the range, the signal disappears
This allows:
Earlier entries for aggressive traders
Confirmed entries for conservative traders
You choose.
3️⃣ A+ Momentum Engine (ATR-Based)
Not all breakouts are equal.
The A+ Engine measures candle expansion relative to ATR to identify true momentum breakouts.
When an A+ breakout occurs:
The candle is highlighted
The label upgrades to A+ Buy / A+ Sell
Optional filtering: require A+ for signals or use it as a visual upgrade
This helps eliminate:
Chop
Low-energy fake moves
Weak breakouts that stall immediately
4️⃣ Failure Mode (Reversal Detection)
This is where most ORB tools fall apart.
Vhenom ORB A+ actively monitors failed breakouts.
If price:
Breaks out of the ORB
Fails to hold
Re-enters the range within a defined window
The indicator generates:
R Buy (failed downside breakout)
R Sell (failed upside breakout)
With:
Acceptance-by-close logic
Minimum bar delay (no same-candle chaos)
Optional live preview
This allows traders to:
Capture reversals
Avoid chasing failed breakouts
Trade against trapped participants
5️⃣ Conflict Protection (No Mixed Signals)
The logic explicitly prevents:
Buy and Sell on the same candle
Breakout and reversal on the same bar
Overlapping signal noise
If a conflict ever exists:
Sell wins (conservative bias)
The system is intentionally opinionated to reduce indecision.
6️⃣ Candle Coloring for Immediate Context
Candle colors provide instant visual feedback:
A+ Breakout candles
Failed breakout reversal candles
Priority rules ensure clarity (Reversal > A+)
You can glance at the chart and know what just happened.
🔹 Designed For
This indicator is ideal for:
NQ / ES / MNQ / MES traders
GC / MGC traders
ORB, momentum, and reversal traders
Traders who scale quickly and manage stops tightly
Traders who want structure, not guesses
It works on any symbol or timeframe, but is optimized for index futures.
🔹 What This Is NOT
❌ Not a signal bot
❌ Not a “win every trade” system
❌ Not meant for set-and-forget trading
This tool gives high-quality decision points — execution is up to you.
🔹 Basic vs Professional
Basic Version
NY Cash Session ORB only
ORB lines only
No momentum logic
No reversals
Professional Version (This)
Multiple ORB sessions
Live breakout preview
A+ momentum detection
Failure / reversal detection
Advanced filtering & controls
Designed for real trading, not hindsight
🔹 Final Notes
This indicator was built by a trader, refined through real market behavior, and designed to expose opportunity and risk at the same time.
If you understand:
Opening ranges
Volatility
Acceptance vs rejection
Risk management
Vhenom ORB A+ gives you an edge — not a crutch.
VWAP Market FlowVWAP Flow Model
VWAP Flow Model is a VWAP-anchored market context indicator designed to help traders understand how price is behaving relative to fair value.
It evaluates the interaction between price, VWAP (Volume-Weighted Average Price), volatility, and momentum to classify prevailing market conditions such as trend continuation, expansion, mean reversion, and momentum decay.
Rather than issuing trade signals, the indicator focuses on identifying market state and execution quality.
Core framework:
-Adaptive VWAP with slope-based colouring
-VWAP acts as the central fair-value reference.
The VWAP line dynamically changes colour based on its slope:
-Rising VWAP → bullish pressure
-Falling VWAP → bearish pressure
-Flattening VWAP → balance, compression, or rotation
This allows traders to quickly assess directional bias and determine whether price movement is supported by underlying flow or occurring in a lower-quality environment.
Signal labels:
The indicator annotates key behavioural transitions to support visual interpretation of market state:
-IGN (Ignition) — Momentum expansion emerging from compression or balance, often marking the start of a directional move.
-CON (Continuation) — Price sustaining directional behaviour in alignment with VWAP slope.
-REV (Reversion) — Mean-reversion behaviour as price returns toward VWAP after extension.
-EXH (Exhaustion) — Loss of momentum or absorption after an extended move, often preceding rotation or regime change.
-MON (Displacement) — High-energy expansion bars indicating strong participation and structural shift.
These labels describe market behaviour, not trade instructions, and should be interpreted within the broader VWAP context.
Market behaviour classification:
The model continuously evaluates how price interacts with VWAP to determine whether the market is:
-directional and trending
-rotating around fair value
-accelerating away from value (expansion)
-losing momentum or showing signs of exhaustion
Classifications are derived from price displacement, volatility conditions, and momentum quality, rather than simple crossovers.
Filtering and control logic:
-Trend / Volatility Filter
Conditions market-state classification on the prevailing volatility and structural regime, helping prevent unstable or low-quality environments from producing misleading context shifts.
-Cooldown Filter
Enforces a minimum number of bars between classification updates to reduce rapid state-flipping in choppy conditions and keep context stable.
-Minimum Bars Between Signals
Controls the strictness of the cooldown logic.
Lower values increase responsiveness; higher values favour cleaner, more stable context changes.
-Tape Dominance Requirement (IGN)
Optional confirmation that requires directional signed-volume pressure to align with price behaviour before ignition-style classifications are allowed, helping distinguish genuine impulsive moves from weak or mechanically driven spikes.
-Tape Dominance Lookback
Defines the evaluation window used by the tape dominance filter.
Shorter lookbacks react faster; longer lookbacks require sustained participation.
Sensitivity and session controls:
Sensitivity modes adjust how responsive the model is to changing conditions:
-Aggressive — faster, more reactive (lower timeframes)
-Balanced — default intraday calibration
-Sniper — stricter thresholds, fewer but higher-quality classifications
Optional session filters allow the model to operate only during selected trading sessions, helping traders focus on higher-liquidity periods and avoid low-efficiency hours.
How to use it:
VWAP Flow Model is used as a context and confirmation layer, not a signal generator:
-Trade in the direction of VWAP slope during directional phases
-Expect mean reversion when price extends far from VWAP in balanced conditions
-Treat strong acceleration away from VWAP as expansion rather than chop
-Use flattening VWAP as an early warning of rotation or momentum loss
It integrates naturally with price action, structure-based analysis, and volume-aware workflows.
Indicator scope:
VWAP Flow Model provides objective market context and behavioural classification.
It does not generate direct trade signals and is designed to support discretionary decision-making.
Important notes:
Market classifications are probabilistic, not guarantees
Past behaviour does not imply future results
This indicator is a decision-support tool, not an automated trading system
GARCH Volume Volatility [MarkitTick]Title: GARCH Volume Volatility
Description
Overview
The GARCH Volume Volatility (GV) indicator is a sophisticated quantitative tool designed to analyze the rate of change in market participation. While the vast majority of technical indicators focus on Price Volatility (how much price moves), this script focuses on Volume Volatility (how unstable the participation is).
Market volume is rarely distributed evenly; it tends to cluster. Periods of high activity are often followed by more high activity, and periods of calm tend to persist. This behavior is known as "heteroskedasticity." This script utilizes an Exponentially Weighted Moving Average (EWMA) model—a core component of Generalized Autoregressive Conditional Heteroskedasticity (GARCH) frameworks—to model these changing variance regimes.
By isolating volume volatility from raw volume data, this tool helps traders distinguish between sustainable liquidity flows and erratic, unsustainable volume shocks that often precede market reversals or breakouts.
Methodology and Calculations
1. Logarithmic vs. Percentage Returns
The foundation of this indicator is the calculation of "Volume Returns"—the period-over-period change in volume.
- The script defaults to Logarithmic Returns. In financial statistics, log returns are preferred because they normalize data that can vary wildly in magnitude (such as cryptocurrency volume spikes), providing a more symmetric view of changes.
- Users can opt for standard percentage changes if they prefer a linear approach.
2. Variance Proxy (Squared Returns)
To measure volatility, the direction of the volume change (up or down) matters less than the magnitude. The script squares the returns to create a "Variance Proxy." This ensures that a massive drop in volume is treated with the same statistical weight as a massive spike in volume—both represent a significant change in the volatility of participation.
3. GARCH-Style Smoothing (EWMA)
Standard Moving Averages (SMA) treat all data points in the lookback period equally. However, volatility is dynamic. This script uses an EWMA model with a tunable "Lambda" (Decay Factor).
- The Recursive Formula: The current calculation relies on a weighted average of the current variance and the previous period's smoothed variance.
- Memory Effect: This allows the indicator to "remember" recent volatility shocks while gradually letting their influence fade. This mimics the GARCH process of conditional variance.
4. Dynamic Statistical Thresholds
The final output is the Volatility (square root of variance). To make this data actionable, the script calculates a dynamic upper and lower limit based on the standard deviation (Z-Score) of the volatility itself over a user-defined lookback period.
How to Use
The indicator plots a histogram that categorizes the market into four distinct volatility regimes:
1. High Volatility (Red Histogram)
Trigger: Volatility > High Band (Upper Standard Deviation).
Interpretation: This signals an extreme anomaly in volume stability. This is not just "high volume," but "erratic volume behavior." This often occurs at:
- Capitulation bottoms (panic selling).
- Euphoric tops (blow-off tops).
- Major news events or earnings releases.
2. Elevated Volatility (Maroon Histogram)
Trigger: Volatility > Mean Average.
Interpretation: The market is in an active state. Participation is changing rapidly, but within statistically normal bounds. This is common during healthy, trending moves where new participants are entering the market steadily.
3. Normal/Low Volatility (Green Histogram)
Trigger: Volatility is within the lower bands.
Interpretation: The market volume is stable. There are no sudden shocks in participation. This is typical of consolidation phases or "creeping" trends where the price drifts without significant volume conviction.
4. Extremely Low Volatility (Bright Green/Transparent)
Trigger: Volatility < Low Band.
Interpretation: The "calm before the storm." When volume volatility collapses to near-zero, it implies that the market has reached a state of equilibrium or disinterest. Historically, volatility is cyclical; periods of extreme compression often lead to violent expansion.
Settings and Configuration
Core Settings
- Use EWMA: When checked (Default), uses the recursive GARCH-style calculation. If unchecked, it reverts to a simple SMA of variance, which is less sensitive to recent shocks but more stable.
- Log Returns: Uses natural log for calculations. Highly recommended for assets with exponential growth or large volume ranges.
- Length: The baseline period for the calculation.
- Threshold Lookback: The number of bars used to calculate the Mean and Standard Deviation bands.
- EWMA Lambda: The decay factor (0.0 to 1.0). A value of 0.94 is standard for risk metrics.
-- Higher Lambda (e.g., 0.98): The indicator reacts slower and is smoother (long memory).
-- Lower Lambda (e.g., 0.80): The indicator reacts very fast to new data (short memory).
Visuals
- Show Thresholds: Toggles the visibility of the statistical bands on the chart.
- High Band (StdDev): The multiplier for the upper warning zone. Default is 1.5 deviations. Increasing this to 2.0 or 3.0 will filter for only the most extreme events.
Disclaimer This tool is for educational and technical analysis purposes only. Breakouts can fail (fake-outs), and past geometric patterns do not guarantee future price action. Always manage risk and use this tool in conjunction with other forms of analysis.
KIMATIX LITE AbsorptionThis indicator highlights absorption intensity directly on the chart using numeric sigma values only.
It is a deliberately reduced, signal-agnostic visualization designed to expose where significant absorption occurs, without adding levels, lines, or trade logic.
What you see
Numeric sigma values on candles
Each number represents the strength of absorption measured in standard deviations (σ).
Color-coded context
Green numbers below price → sell-side absorption
Red numbers above price → buy-side absorption
Only values that exceed the Minimum Sigma threshold are displayed.
No lines, zones, triangles, or alerts are shown — only the raw absorption magnitude.
How it works (LITE Version)
Absorption is derived from volume relative to candle structure
Values are normalized and filtered using:
A fixed statistical lookback
Wick dominance rules to avoid noise
Only statistically significant events (σ ≥ threshold) are visualized
All other calculations run silently in the background.
Intended use
This Lite version is meant to:
Identify areas of aggressive participation or defense
Spot potential absorption during trends or ranges
Provide context for liquidity, exhaustion, or hidden interest
It is not a trading system and does not generate entries or exits.
Use it as a contextual layer alongside your own execution logic.
The full version is distributed separately.
More information can be found here:
whop.com
KIMATIX LITE Delta ProfileThis indicator provides a clean, market-structure view of where participation concentrates and which side is in control across price levels.
The Lite version is intentionally reduced to focus on context over execution while keeping the visual identity of the full profile.
What is shown
Sentiment Profile (right side)
Displays directional dominance at each price level:
Bullish rows when buying pressure dominates
Bearish rows when selling pressure dominates
Point of Control (POC)
Value Area High / Low (VAH / VAL)
Lite Version
No left-side volume profile
No delta labels or historical delta tracking
No lower-timeframe or orderflow proxy
No alerts or event notifications
No visible-range logic or advanced controls
All calculations run on the chart timeframe only, making this version lighter and suitable for public use while preserving structural relevance.
Intended use
This indicator is designed to:
Identify high-interest price zones
Assess directional pressure at each level
Support bias and location decisions
Complement other execution or confirmation tools
It is not an entry or signal system and does not provide trade timing.
The full version is distributed separately.
More information can be found here:
whop.com
OC Chain_ROC_RSI15-minute indicator that detects a 3-candle “inside” chain where each candle’s open & close remain within the previous candle’s open-close range. Plots horizontal Open/Close levels on candles when ROC(2) moves beyond a configurable ±threshold, and highlights candles when RSI is strong (>55) or weak (< user set level, e.g., 30–32). Adjustable ROC/RSI settings and line extension options.
KIMATIX LITE Crypto ScannerKIMATIX Crypto Scanner
This indicator visualizes institutional demand and supply zones based on an automated volume profile calculation.
The Lite version is designed for context and market structure only:
Displays dynamic long and short zones
Helps identify high-interest price areas
Intended for bias and location, not execution
No signals, alerts, confirmations, or execution logic are included.
All advanced filters, timing logic, probability validation,
and trade management are reserved for the full version.
Use this tool to understand where price matters — not when to trade.
The full version is distributed separately.
More information can be found here:
whop.com
Long Bollinger Bands StrategyLong Bollinger Bands Strategy (XAUUSD) — Lower Band Reversal + 4-Step Scaling + Daily DD Guard
Long Bollinger Bands Strategy is a long-only Bollinger Bands reversal/mean-reversion strategy designed mainly for XAUUSD. It looks for a bearish push below the Lower Band followed by a bullish reclaim on candle close, then optionally scales in up to 4 entries (E1–E4) as price pulls back.
1) Risk Management & Position Sizing
The strategy includes a USD-based risk input: Risk per setup (USD).
It automatically calculates position size using the average SL distance across the 4-entry structure, then distributes size across entries with built-in weighting.
BackTest Lot checkbox:
OFF (default): uses normalized sizing (qty divided by 100)
ON: uses raw qty for backtesting workflows
2) SL/TP Management (Locked SL + Optional Range TP)
Stop Loss (SL): based on SL distance (pips from entry) from E1.
Take Profit (TP):
If TP (pips) > 0: fixed pip TP from E1
If TP (pips) = 0: TP is based on the signal candle range (high–low)
SL Lock: once the stop is tightened, it never loosens again (only moves in a protective direction) until the trade closes.
3) Daily Drawdown Protection
Tracks equity by day and stops opening new positions once Max daily drawdown (USD) is reached for that day.
4) Notes / Disclaimer
This strategy does not use volume, RSI, fundamentals, news filters, or session filters. Users should apply discretion and consider confirmations from other tools and market context. Results depend on symbol settings, spread, commission, and volatility regime. Always forward-test before using in live trading.
Designed for XAUUSD. The script uses an internal pip conversion (pipSize = 0.1) consistent with common gold quoting; verify your broker’s pip definition for best alignment.
5) Suggested Usage
Best used during volatile conditions or after a clear lower-band sweep and reclaim.
Consider pairing with trend filters or higher-timeframe bias.
6) Release Notes
Initial release: Long-only BB reclaim logic with 4-step scaling
Added: SL/TP lock logic and visual SL/TP lines
Added: Daily drawdown guard and backtest lot toggle OANDA:XAUUSD
RSI WMA Crossover Momentum w/ Highlight by SfxinvestRSI WMA Crossover Momentum
This is a momentum indicator that tracks the RSI. Its principle is to use the WMA line to determine the trend of the RSI, and from the RSI, the price trend can be determined.
AlphaTrend + MA Resistance + Flow BandPuanlama sistemi getirildi. 70 puan ve üzerinde alım yapabilirsiniz.
TWS- RSI+Divergence With Stochestic+Div. v21.0 By AshishThis indicator is for RSI & RSI Divergence. Also you can activate Stochastic (modified level) with divergence.
This is totally new concept. you can try it.
