Volume-Weighted Price Z-Score [QuantAlgo]🟢 Overview
The Volume-Weighted Price Z-Score indicator quantifies price deviations from volume-weighted equilibrium using statistical standardization. It combines volume-weighted moving average analysis with logarithmic deviation measurement and volatility normalization to identify when prices have moved to statistically extreme levels relative to their volume-weighted baseline, helping traders and investors spot potential mean reversion opportunities across multiple timeframes and asset classes.
🟢 How It Works
The indicator's core methodology lies in its volume-weighted statistical approach, where price displacement is measured through normalized deviations from volume-weighted price levels:
volumeWeightedAverage = ta.vwma(priceSource, lookbackPeriod)
logDeviation = math.log(priceSource / volumeWeightedAverage)
volatilityMeasure = ta.stdev(logDeviation, lookbackPeriod)
The script uses logarithmic transformation to capture proportional price changes rather than absolute differences, ensuring equal treatment of percentage moves regardless of price level:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
First, it establishes the volume-weighted baseline which gives greater weight to price levels where significant trading occurred, creating a more representative equilibrium point than simple moving averages.
Then, the logarithmic deviation measurement converts the price-to-average ratio into a normalized scale:
logDeviation = math.log(priceSource / volumeWeightedAverage)
Next, statistical normalization is achieved by dividing the deviation by its own historical volatility, creating a standardized z-score that measures how many standard deviations the current price sits from the volume-weighted mean.
Finally, EMA smoothing filters noise while preserving the signal's responsiveness to genuine market extremes:
rawZScore = logDeviation / volatilityMeasure
zScore = ta.ema(rawZScore, smoothingPeriod)
This creates a volume-anchored statistical oscillator that combines price-volume relationship analysis with volatility-adjusted normalization, providing traders with probabilistic insights into market extremes and mean reversion potential based on standard deviation thresholds.
🟢 Signal Interpretation
▶ Positive Values (Above Zero): Price trading above volume-weighted average indicating potential overvaluation relative to volume-weighted equilibrium = Caution on longs, potential mean reversion downward = Short/sell opportunities
▶ Negative Values (Below Zero): Price trading below volume-weighted average indicating potential undervaluation relative to volume-weighted equilibrium = Caution on shorts, potential mean reversion upward = Long/buy opportunities
▶ Zero Line Crosses: Mean reversion transitions where price crosses back through volume-weighted equilibrium, indicating shift from overvalued to undervalued (or vice versa) territory
▶ Extreme Positive Zone (Above +2.5σ default): Statistically rare overvaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bullish conditions with high mean reversion probability = Strong correction warning/short signal
▶ Extreme Negative Zone (Below -2.5σ default): Statistically rare undervaluation representing 98.8%+ confidence level deviation, indicating extremely stretched bearish conditions with high mean reversion probability = Strong buying opportunity signal
▶ ±1σ Reference Levels: Moderate deviation zones (±1 standard deviation) marking common price fluctuation boundaries where approximately 68% of price action occurs under normal distribution
▶ ±2σ Reference Levels: Significant deviation zones (±2 standard deviations) marking unusual price extremes where approximately 95% of price action should be contained under normal conditions
🟢 Features
▶ Preconfigured Presets: Three optimized parameter sets accommodate different analytical approaches, instruments and timeframes. "Default" provides balanced statistical measurement suitable for swing trading and daily/4-hour analysis, offering deviation detection with moderate responsiveness to price dislocations. "Fast Response" delivers heightened sensitivity optimized for intraday trading and scalping on 15-minute to 1-hour charts, using shorter statistical windows and minimal smoothing to capture rapid mean reversion opportunities as they develop. "Smooth Trend" offers conservative extreme identification ideal for position trading on daily to weekly charts, employing extended statistical periods and heavy noise filtering to isolate only the most significant market extremes.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of statistical extremes and mean reversion events. Extreme Overbought triggers when z-score crosses above the extreme threshold (default +2.5σ) signaling rare overvaluation, Extreme Oversold activates when z-score crosses below the negative extreme threshold (default -2.5σ) signaling rare undervaluation. Exit Extreme Overbought and Exit Extreme Oversold alert when prices begin reverting from these statistical extremes back toward the mean. Bullish Mean Reversion notifies when z-score crosses above zero indicating shift to overvalued territory, while Bearish Mean Reversion triggers on crosses below zero indicating shift to undervalued territory. Any Extreme Level provides a combined alert for any extreme threshold breach regardless of direction. These notifications allow you to capitalize on statistically significant price dislocations without continuous chart monitoring.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast for identifying positive versus negative deviations across trading environments. The adjustable fill transparency control (0-100%) allows fine-tuning of the gradient area prominence between the z-score line and zero baseline, with higher opacity values creating subtle background context while lower values produce bold deviation emphasis. Optional bar coloring extends the z-score gradient directly to the indicator pane bars, providing immediate visual reinforcement of current deviation magnitude and direction without requiring reference to the plotted line itself.
*Note: This indicator requires volume data to function correctly, as it calculates deviations from a volume-weighted price average. Tickers with no volume data or extremely limited volume will not produce meaningful results, i.e., the indicator may display flat lines, erratic values, or fail to calculate properly. Using this indicator on assets without volume data (certain forex pairs, synthetic indices, or instruments with unreported/unavailable volume) will produce unreliable or no results at all. Additionally, ensure your chart has sufficient historical data to cover the selected lookback period, e.g., using a 100-bar lookback on a chart with only 50 bars of history will yield incomplete or inaccurate calculations. Always verify your chosen ticker has consistent, accurate volume information and adequate price history before applying this indicator.
Scalping
Scalp Signal v1.0 [Scalping-Algo]═══════════════════════════════════════════════════════════════
MTF SCALP HELPER - TRADINGVIEW DESCRIPTION ═══════════════════════════════════════════════════════════════
SHORT DESCRIPTION:
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Multi-timeframe confluence overlay combining directional bias scoring, volume anomaly detection, and automatic zone mapping.
FULL DESCRIPTION:
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𝗛𝗼𝘄 𝗧𝗵𝗲 𝗖𝗼𝗺𝗽𝗼𝗻𝗲𝗻𝘁𝘀 𝗪𝗼𝗿𝗸 𝗧𝗼𝗴𝗲𝘁𝗵𝗲𝗿
This is not simply indicators placed side-by-side. Each component feeds into a scoring system:
𝟭. 𝗗𝗶𝗿𝗲𝗰𝘁𝗶𝗼𝗻𝗮𝗹 𝗕𝗶𝗮𝘀 𝗘𝗻𝗴𝗶𝗻𝗲
Nine factors are evaluated on each bar: EMA ribbon alignment (8/13/21/34), dual Supertrend readings, VWAP position, Hull MA direction, RSI zone, MACD histogram slope, Stochastic RSI crossover state, ADX/DMI readings, and higher timeframe EMA structure.
Each factor that confirms the direction adds +1 to a bias score. When the score crosses a user-adjustable threshold AND the higher timeframe confirms, candles are colored to reflect the bias. This creates a visual filter - you can quickly scan and see which periods had strong directional agreement vs mixed signals.
𝟮. 𝗖𝗼𝗻𝗳𝗹𝘂𝗲𝗻𝗰𝗲 𝗦𝗰𝗼𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗘𝗻𝘁𝗿𝘆 𝗦𝗶𝗴𝗻𝗮𝗹𝘀
The main signals use weighted scoring across 13 factors. Not all factors are equal - for example, an RSI extreme reading adds +2 while simple VWAP position adds +0.5. This weighting reflects that some conditions are more significant than others.
Signals only appear when:
- Confluence score meets minimum threshold (adjustable: 8-11)
- Volatility is within acceptable range (ATR-based filter)
- Minimum bars have passed since last signal (prevents clustering)
- Optional: Session time filter and strict trend alignment
The score is displayed on each signal label so you can see exactly how strong the confluence was.
𝟯. 𝗩𝗖𝗥𝗘 (𝗩𝗼𝗹𝘂𝗺𝗲 𝗖𝗹𝗶𝗺𝗮𝘅 𝗥𝗲𝘃𝗲𝗿𝘀𝗮𝗹 𝗘𝗻𝗴𝗶𝗻𝗲)
This component identifies potential exhaustion points using a specific pattern:
- Price breaks below/above the lows/highs of the previous N bars (lookback adjustable)
- This breakout bar has volume exceeding 2x the 20-period average
- Within the next few bars, price reverses back through the breakout bar's range
- Confirmation volume is checked on the reversal bar
The star rating (3-5) reflects how many confirmation factors were present. This is a mechanical pattern recognition system, not a prediction.
𝟰. 𝗩𝗩𝗥𝗦 (𝗩𝗼𝗹𝘂𝗺𝗲 𝗩𝗼𝗹𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗥𝗲𝘃𝗲𝗿𝘀𝗮𝗹 𝗦𝘆𝘀𝘁𝗲𝗺)
Uses statistical analysis (z-scores) to identify when buying or selling volume deviates significantly from the historical mean. When volume anomalies appear in one direction but a Supertrend-style indicator flips the other way within a confirmation window, it flags this divergence.
Z-score threshold is adjustable - higher values mean fewer but more statistically significant anomalies are flagged.
𝟱. 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗰 𝗭𝗼𝗻𝗲 𝗠𝗮𝗽𝗽𝗶𝗻𝗴
Supply and demand zones are drawn when specific criteria are met:
- A candle with above-average volume and range
- Followed by N consecutive candles moving away from that area
- Zone strength (1-5) is calculated from: engulfing pattern presence, volume confirmation, ATR-relative size, and subsequent price movement
Zones extend forward and can serve as reference levels. They are not predictive - they simply mark areas where notable activity occurred.
𝟲. 𝗠𝘂𝗹𝘁𝗶-𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲 𝗗𝗮𝘀𝗵𝗯𝗼𝗮𝗿𝗱
The panel calculates momentum, sentiment, and volatility scores across 5 timeframes using request.security() calls. These are normalized to 0-100 scales for easy comparison.
- Momentum: Weighted combination of RSI, ROC, MOM, and MACD histogram
- Sentiment: EMA stack positioning, volume-weighted price change, swing structure
- Volatility: ATR, Bollinger width, true range, and standard deviation ratios
The dashboard provides context - you can see if lower and higher timeframes are aligned or diverging.
𝟳. 𝗘𝗠𝗔 𝟮𝟬𝟬 (𝗦𝗹𝗼𝘄 𝗧𝗿𝗲𝗻𝗱 𝗥𝗲𝗳𝗲𝗿𝗲𝗻𝗰𝗲)
The 200-period EMA is plotted as a separate line for longer-term trend context.
How it integrates with other components:
- Used in confluence scoring: price position relative to EMA 200 adds to buy/sell scores (+1 for perfect alignment, +0.5 for partial)
- The "perfect stack" condition (fast EMA > medium EMA > EMA 200 with price above all) is weighted heavily in signal generation
- VCRE system references EMA 200 for its star rating - reversals occurring on the "right side" of the 200 receive higher strength scores
- Provides macro context that the shorter-term components don't capture
The combination of cloud (short-term structure) and EMA 200 (long-term structure) allows you to see both immediate trend state and broader positioning in one view.
8. 𝗘𝗠𝗔 𝗖𝗹𝗼𝘂𝗱 𝗦𝘆𝘀𝘁𝗲𝗺
The cloud is formed between a fast EMA (default 13) and medium EMA (default 48). Rather than just plotting two lines, the space between them is filled to create a visual "zone."
How it functions in this script:
- Cloud color changes based on EMA relationship (fast above slow = bullish color, fast below slow = bearish color)
- The cloud width itself provides information - wider cloud often indicates stronger trend momentum, narrow cloud suggests potential consolidation or transition
- Price position relative to cloud gives quick visual context: trading above a bullish cloud vs below it vs inside it
- The cloud edges often act as dynamic reference points where price may react
This is integrated with the bias system - EMA alignment is one of the 9 factors in the directional bias calculation. When the cloud is bullish AND price is above it, that contributes positively to the bias score.
𝗪𝗵𝗮𝘁 𝗠𝗮𝗸𝗲𝘀 𝗧𝗵𝗶𝘀 𝗗𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁
The integration layer is the original contribution here. Specifically:
1. The weighted confluence scoring system that combines standard indicators into a single numerical output with transparent weighting
2. The interaction between the 9-factor bias engine and the signal generation (signals can optionally require bias alignment)
3. VCRE pattern recognition with its specific breakout-then-reversal sequence and volume requirements
4. VVRS statistical approach using z-scores on directional volume combined with trend flip confirmation
5. Zone mapping with multi-factor strength scoring
Each component can be enabled/disabled independently, and all thresholds are exposed as inputs so users can adjust sensitivity.
𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗡𝗼𝘁𝗲𝘀
- This script identifies patterns and calculates scores based on the logic described above
- It does not predict future price movement
- Past patterns appearing in backtesting do not indicate future results
- All signals should be evaluated with additional context and risk management
- The effectiveness of any pattern or indicator varies with market conditions, timeframe, and instrument
- Users should thoroughly test on demo/paper before any live application
- Default settings may not be suitable for all instruments or trading styles
𝗦𝗲𝘁𝘁𝗶𝗻𝗴𝘀 𝗢𝘃𝗲𝗿𝘃𝗶𝗲𝘄
• Signal Frequency: Adjusts minimum confluence score (Lots=8, Rare=11)
• Bias Sensitivity: Aggressive/Standard/Conservative threshold for candle coloring
• Strict Filter Mode: Requires trend + session + DMI alignment for signals
• Session Filter: Limits signals to high-volume market hours (EST)
• Each component (VCRE, VVRS, Zones) can be toggled on/off
• All lookback periods, thresholds, and multipliers are adjustable
𝗨𝘀𝗮𝗴𝗲 𝗦𝘂𝗴𝗴𝗲𝘀𝘁𝗶𝗼𝗻𝘀
Start with default settings to understand baseline behavior. Observe how signals correlate with the dashboard readings. Adjust signal frequency lower (toward "Rare") if seeing too many signals. Enable strict mode for additional filtering. Test on the specific instruments and timeframes you plan to use.
Momentum Oscillator [Scalping-Algo]Momentum Oscillator
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What is this?
A momentum indicator that shows when price might reverse or continue. It's like MACD but with extra filters so you get fewer fake signals.
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The Components
① OSCILLATOR (Cyan/Magenta line)
The main line. Goes up = bullish momentum. Goes down = bearish momentum.
② SIGNAL LINE (Yellow/Orange line)
A smoothed version. When oscillator crosses it, momentum is shifting.
③ HISTOGRAM (Green/Red bars)
Shows momentum strength. Bigger bars = stronger momentum. Shrinking bars = momentum dying.
④ BLUE CIRCLE
Bullish cross. Oscillator just crossed above signal line.
⑤ YELLOW CIRCLE
Bearish cross. Oscillator just crossed below signal line.
⑥ TRIANGLES
▲ Green = Buy signal (all filters passed)
▼ Red = Sell signal (all filters passed)
⑦ DASHED LINES
Forecast. Where the indicator might go next. Just a guess based on recent movement.
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How to Trade It
Entry:
- Wait for triangle signal (not just circles)
- Check bars are growing in your direction
- Make sure price agrees with momentum
Exit:
- Bars start shrinking = momentum fading
- Opposite color circle appears = momentum shifting
- Take profit before reversal
Avoid:
- Trading against higher timeframe trend
- Signals when bars are tiny
- Choppy sideways markets
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Reading the Chart
Green bars getting bigger → momentum building up → price likely continues up
Green bars getting smaller → momentum fading → watch for reversal
Red bars getting bigger → selling pressure increasing → price likely drops
Red bars getting smaller → selling exhausted → watch for bounce
Circles show every cross. Triangles only show when multiple things align.
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Quick Settings Guide
Want more signals? Lower the volume filter
Want fewer signals? Raise the volume filter
Too many fakeouts? Turn on HTF filter
Missing moves? Lower the min histogram size
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Limitations
This won't predict the future. The forecast is just math projection, not magic. Markets can reverse anytime. Always use stop losses. Test on demo first.
Uses standard stuff (EMA, RSI, VWAP) combined in a specific way. Nothing revolutionary, just filtered momentum.
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That's it. Watch the bars, wait for triangles, manage your risk.
Aincan Quantum Trend EngineOverview The Aincan Quantum Trend Engine (AQT) is a proprietary trend-following system designed to reduce market noise while minimizing lag. Unlike standard indicators that rely solely on linear averaging, AQT utilizes a Rational Quadratic Kernel smoothing algorithm to calculate the true market direction. This approach allows traders to visualize the trend structure with higher fidelity than traditional methods.
How It Works (The Math) The core of this script is based on non-linear regression logic, specifically adapted for financial time-series data:
Rational Quadratic Smoothing: The script processes price action through a custom loop that applies a rational quadratic weight to historical data points. This creates a signal line that is responsive to sharp price changes but resistant to chop/sideways noise.
Flux Filtering: We implement a multi-tier trend validation system that analyzes price momentum across three distinct timeframes (Fast, Medium, Slow).
Momentum Gating: A dynamic filter ensures that signals are only generated when there is sufficient underlying momentum, preventing false signals in low-volume markets.
Why is this Invite-Only? This script contains Aincan Systems' proprietary implementation of the Rational Quadratic Kernel. The exact tuning parameters (Smoothing Factor, Regression Degree, and Analysis Scope) have been optimized through extensive backtesting to produce the current results. The source code is protected to maintain the integrity of this unique calculation method.
How to Use
Green Cloud: Indicates a confirmed bullish trend. The "Quantum Signal" line is above the anchor base.
Red Cloud: Indicates a confirmed bearish trend. The "Quantum Signal" line is below the anchor base.
Bar Color: Candles are colored to reflect the current active trend state for easy visual identification.
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application.
Volatility Squeeze + EMA Trend Filter [Day Trading]Identify explosive breakouts before they happen. This indicator detects low-volatility consolidations (squeezes) that precede powerful price moves, filtered by trend direction for higher-probability signals.
█ FEATURES
- Squeeze detection using Bollinger Bands inside Keltner Channels
- Momentum histogram visualization in dashboard
- 200 EMA trend filter (toggleable) - longs above, shorts below
- Trading hours filter with timezone support
- Buy/sell signals on chart with customizable size
- 5 visual themes (Nebula Core, Aurora Borealis, Ice Giant, Solar Flare, Supernova)
- Real-time dashboard with squeeze state, momentum, and signal bias
█ HOW IT WORKS
1. Bollinger Bands compress inside Keltner Channels = "Squeeze" (consolidation)
2. Squeeze releases = imminent breakout
3. Momentum direction determines trade direction
4. 200 EMA filter ensures you trade with the trend
5. Session filter keeps you in optimal trading hours
█ SIGNAL LOGIC
BUY: Momentum crosses above zero OR squeeze releases with rising positive momentum + price above 200 EMA
SELL: Momentum crosses below zero OR squeeze releases with falling negative momentum + price below 200 EMA
█ RECOMMENDED USE
- Best timeframes: 5-minute, 15-minute for day trading
- Best instruments: NQ, MNQ, ES, MES, SPY, QQQ
- Best session: 9:30 AM - 11:00 AM ET (morning momentum)
- Works on any market with sufficient volatility
█ INPUTS
- BB/KC Length and Multipliers (default: 20/2.0 and 20/1.5)
- 200 EMA trend filter toggle
- Trading session hours and timezone
- Signal size and visual theme selection
Based on John Carter's TTM Squeeze concept.
DM for access.
Golden Vector Trend Orchestrator (GVTO)Golden Vector Trend Orchestrator (GVTO) is a composite trend-following strategy specifically engineered for XAUUSD (Gold) and volatile assets on H4 (4-Hour) and Daily timeframes.
This script aims to solve a common problem in trend trading: "Whipsaws in Sideways Markets." Instead of relying on a single indicator, GVTO employs a Multi-Factor Confluence System that filters out low-probability trades by requiring alignment across Trend Structure, Momentum, and Volatility.
🛠 Methodology & Logic
The strategy executes trades only when four distinct technical conditions overlap (Confluence). If any single condition is not met, the trade is filtered out to preserve capital.
1. Market Structure Filter (200 EMA)
Indicator: Exponential Moving Average (Length 200).
Logic: The 200 EMA acts as the baseline for the long-term trend regime.
Bullish Regime: Price must close above the 200 EMA.
Bearish Regime: Price must close below the 200 EMA.
Purpose: Prevents counter-trend trading against the macro direction.
2. Signal Trigger & Trailing Stop (Supertrend)
Indicator: Supertrend (ATR Length 14, Factor 3.5).
Logic: Uses Average True Range (ATR) to detect trend reversals while accounting for volatility.
Purpose: Provides the specific entry signal and acts as a dynamic trailing stop-loss to let profits run while cutting losses when the trend invalidates.
3. Volatility Gatekeeper (ADX Filter)
Indicator: Average Directional Index (Length 14).
Threshold: > 25.
Logic: A high ADX value indicates a strong trend presence, regardless of direction.
Purpose: This is the most critical filter. It prevents the strategy from entering trades during "choppy" or ranging markets (consolidation zones) where trend-following systems typically fail.
4. Momentum Confirmation (DMI)
Indicator: Directional Movement Index (DI+ and DI-).
Logic: Checks if the buying pressure (DI+) is physically stronger than selling pressure (DI-), or vice versa.
Purpose: Ensures that the price movement is backed by genuine momentum, not just a momentary price spike.
📋 How to Use This Strategy
🟢 LONG (BUY) Setup
A Buy signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes ABOVE the 200 EMA (Orange Line).
Trigger: Supertrend flips to GREEN (Bullish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI+ (Plus Directional Indicator) is greater than DI- (Minus).
🔴 SHORT (SELL) Setup
A Sell signal is generated only when ALL of the following occur simultaneously:
Price Action: Price closes BELOW the 200 EMA (Orange Line).
Trigger: Supertrend flips to RED (Bearish).
Strength: ADX is greater than 25 (Strong Trend).
Momentum: DI- (Minus Directional Indicator) is greater than DI+ (Plus).
🛡 Exit Strategy
Stop Loss / Take Profit: The strategy utilizes the Supertrend Line as a dynamic Trailing Stop.
Exit Long: When Supertrend turns Red.
Exit Short: When Supertrend turns Green.
Note: Traders can also use the real-time P/L Dashboard included in the script to manually secure profits based on their personal Risk:Reward ratio.
📊 Included Features
Real-Time P/L Dashboard: A table in the top-right corner displays the current trend status, ADX strength, and the Unrealized Profit/Loss % of the current active position.
Smart Labeling: Buy/Sell labels are coded to appear only on the initial entry trigger. They do not repaint and do not spam the chart if the trend continues (no pyramiding visualization).
Visual Aids: Background color changes (Green/Red) to visually represent the active trend based on the Supertrend status.
⚠️ Risk Warning & Best Practices
Asset Class: Optimized for XAUUSD (Gold) due to its high volatility nature. It also works well on Crypto (BTC, ETH) and Major Forex Pairs.
Timeframe: Highly recommended for H4 (4 Hours) or D1 (Daily). Using this on lower timeframes (M5, M15) may result in false signals due to market noise.
News Events: Automated strategies cannot predict economic news (CPI, NFP). Exercise caution or pause trading during high-impact economic releases.
Volume Anomaly Reversal DetectionVolume Anomaly Reversal Detection (VARD System)
🎯 What This Indicator Does
This indicator identifies potential trend reversals by detecting abnormal volume activity that often precedes significant price movements. It combines volume anomaly detection with dynamic trend analysis to generate actionable BUY/SELL signals.
📊 Core Concept & Methodology
Volume Anomaly Detection
The indicator analyzes directional volume (buying vs selling pressure) from a lower timeframe and calculates Z-scores to identify statistically significant volume spikes.
Z-Score Formula:
Z = (Current Volume - Average Volume) / Standard Deviation
When volume exceeds the threshold (default: 3 standard deviations above mean), it signals unusual market activity - often caused by forced liquidations or capitulation.
Dynamic Trend Filter
A custom trend-following algorithm based on ATR (Average True Range) bands determines the current market direction:
Price above lower band = Uptrend
Price below upper band = Downtrend
Signal Logic
Volume anomaly detected during an existing trend
Trend reversal confirmed within the confirmation window
Signal generated = BUY or SELL label appears
⚙️ Settings Explained
SettingDefaultDescriptionAnalysis Timeframe15minLower timeframe for volume samplingStatistical Lookback200Bars used for Z-score calculationAnomaly Sensitivity3.0Z-score threshold (lower = more signals)Confirmation Window50Max bars between anomaly and trend flipATR Multiplier2.0Trend band widthTrend Period10ATR calculation length
📖 How To Use
Entry Signals
BUY: Green label appears below bar - consider long positions
SELL: Red label appears above bar - consider short positions
Volume Anomaly Markers (⬥)
Small diamonds indicate detected volume spikes
These are early warnings before confirmed signals
Useful for anticipating potential reversals
Trend Bands
Colored zones show active signal direction
Stay with the trend until opposite signal appears
Best Practices
Confirm with price action - Look for support/resistance levels
Use appropriate timeframes - Works on all timeframes, but 1H-4H recommended
Manage risk - Always use stop losses
Avoid ranging markets - Best in trending/volatile conditions
⚠️ Important Notes
No indicator is perfect - Use as part of a complete trading strategy
Volume data required - Will show warning if volume unavailable
Not financial advice - Always do your own research
🔔 Alerts Available
BUY Signal Confirmed
SELL Signal Confirmed
Volume Anomaly (Buy Setup)
Volume Anomaly (Sell Setup)
LTF Distribution Analyzer█ OVERVIEW
LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation.
Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis.
█ CONCEPTS
The indicator is built on two core concepts:
1 — Statistical Price Distribution
Each candle contains many lower timeframe bars. By analyzing these bars, we calculate:
• Q1 (25th percentile) - 25% of prices traded below this level
• Q3 (75th percentile) - 75% of prices traded below this level
• Median - The middle price value
• IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices
2 — Volume Delta Analysis
Delta measures buying vs selling pressure:
• Delta = Buy Volume − Sell Volume
• Positive delta = More aggressive buying
• Negative delta = More aggressive selling
• Delta Ratio normalizes this as a percentage
█ HOW IT WORKS
The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary:
Step 1: Timeframe Calculation
• Auto mode: Chart timeframe ÷ Auto Divisor = LTF
• Example: 1H chart ÷ 1000 = ~3.6 second sampling
• Manual mode: User-specified timeframe
Step 2: Data Collection
• Collects all close prices from LTF bars within current candle
• Aggregates volume by candle direction (bullish/bearish)
Step 3: Statistical Analysis
• Calculates quartiles (Q1, Q3), median, and boundaries
• Identifies outliers using 1.5× and 3× IQR fences
• Finds Volume POC (price with highest volume)
Step 4: Delta Calculation
• Sums buy volume (from bullish LTF bars)
• Sums sell volume (from bearish LTF bars)
• Computes delta ratio for color determination
█ VISUAL ELEMENTS
┌─────────────────────────────────────────┐
│ ▲ Extreme outlier (3× IQR) │
│ △ Mild outlier (1.5× IQR) │
│ ─ Upper whisker cap │
│ ┊ Whisker line (dashed) │
│ ▄ IQR Box (Q1 to Q3 range) │
│ ━ Volume POC (highest volume) │
│ ● Median (green=bull, red=bear) │
│ ┊ Whisker line (dashed) │
│ ─ Lower whisker cap │
│ ▽ Mild outlier │
│ ▼ Extreme outlier │
└─────────────────────────────────────────┘
█ COLOR SYSTEM
Colors indicate the relationship between candle direction and order flow:
🟢 TEAL (Positive Flow)
Bullish candle + Positive delta
→ Strong buying confirmation
→ Trend continuation signal
🔴 RED (Negative Flow)
Bearish candle + Negative delta
→ Strong selling confirmation
→ Trend continuation signal
🟠 ORANGE (Mixed Signal A)
Bullish candle + Negative delta
→ Price up but sellers dominated
→ Potential weakness/reversal warning
🔵 BLUE (Mixed Signal B)
Bearish candle + Positive delta
→ Price down but buyers dominated
→ Potential accumulation/reversal signal
█ SETTINGS
Timeframe Settings
• LTF Mode — Auto or Manual selection
• Manual Timeframe — Specific LTF when in Manual mode
• Auto Divisor — Higher = finer granularity (default: 1000)
• Allow Sub-Minute — Requires Premium subscription
Visual Style
• Positive/Negative Flow colors — Customize the 4 flow colors
• Box Transparency — Opacity of the quartile box (0-100%)
Statistics Display
• Show Statistics Panel — Toggle on-chart stats table
• Show Timeframe Badge — Toggle LTF indicator badge
• Panel Position — Choose corner placement
• Panel Size — Text size selection
█ HOW TO USE
1. Divergence Detection
Look for color mismatches:
• Orange bars in uptrend = weakness, potential reversal
• Blue bars in downtrend = strength, potential reversal
• Multiple consecutive divergent bars strengthen signal
• Wait for confirmation before entry
2. Volume POC Trading
• POC marks where most volume traded
• POC clusters at similar levels = strong S/R zone
• Price often returns to POC before continuing
• Use POC for entry/exit targeting
3. Trend Confirmation
• Consecutive teal = strong uptrend
• Consecutive red = strong downtrend
• Median position shows intrabar momentum
• Wide boxes indicate high volatility
4. Outlier Analysis
• Extreme markers (▲▼) often mark stop hunts
• Consider fading extremes at key levels
• Mild markers (△▽) = areas to watch
█ RECOMMENDED SETTINGS
For different chart timeframes:
│ Chart TF │ Auto Divisor │ Resulting LTF │
├──────────┼──────────────┼───────────────┤
│ 15M │ 1500 │ ~1M │
│ 1H │ 1000 │ ~3-4s │
│ 4H │ 600 │ ~24s │
│ Daily │ 500 │ ~2-3M │
Tip: Check the TF badge to confirm active sampling timeframe.
█ BEST PRACTICES
Do:
✓ Use "Bars" chart style for cleanest display
✓ Combine with support/resistance analysis
✓ Wait for confirmation bars
✓ Note POC clusters across multiple bars
✓ Adjust divisor based on your timeframe
Avoid:
✗ Trading single bar signals alone
✗ Using during low volume periods
✗ Trading immediately after news releases
✗ Ignoring overall market context
█ LIMITATIONS
• Requires adequate market liquidity for reliable signals
• Sub-minute timeframes need Premium subscription
• Historical data depth depends on TradingView's data availability
• Delta calculation assumes volume direction matches candle direction
█ NOTES
This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful.
The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator.
For questions or suggestions, leave a comment below.
SAR Volume ScalperSAR Volume Scalper is a minimalist intraday scalping indicator designed for 1–2 minute charts, optimized for high-liquidity markets such as NASDAQ (NQ) and Gold (GC).
The indicator combines Parabolic SAR price crossings with a neutral volume participation filter (Volume ≥ EMA(Volume)), ensuring that signals appear only when the market is active, without relying on rare or aggressive volume spikes.
🔑 Core Logic
Parabolic SAR identifies precise micro-trend shifts
Trend EMA filters directional bias and reduces counter-trend trades
Neutral volume filter confirms market participation while preserving signal frequency
ATR-based targets adapt automatically to current volatility
🎯 Designed For
High-frequency scalping on 1–2 minute timeframes
Manual trade execution during active market sessions
Traders who prefer price and flow confirmation over heavy indicator stacking
⚠️ Disclaimer
This indicator is a decision-support tool and should not be used as standalone trading advice.
It is not intended for fully automated trading.
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels
DESCRIPTION:
📊 Overview
This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes.
🎯 Purpose & Trading Application
Day traders often need to quickly assess:
1. Current trend direction (using EMAs)
2. Key price levels where reversals or breakouts may occur
This indicator solves both needs in one tool, reducing chart clutter from multiple indicators.
📈 How It Works
TREND IDENTIFICATION (EMAs):
- EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing
- EMA 48 (Purple): Medium EMA for intraday trend direction
- EMA 200 (Red): Slow EMA for overall trend bias
Trading Logic:
- When price is above all 3 EMAs = Strong bullish bias
- When price is below all 3 EMAs = Strong bearish bias
- EMA crossovers signal potential trend changes
- The 13/48 crossover is particularly useful for intraday entries
SUPPORT & RESISTANCE LEVELS:
- Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones
- 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels
- Previous Week High/Low (Orange, Dotted): Major institutional levels
Why These Levels Matter:
Previous day and weekly highs/lows are watched by many traders and algorithms. Price often:
- Reverses at these levels (support/resistance)
- Accelerates through them (breakout trades)
🔧 How To Use
FOR TREND TRADING:
1. Identify bias using EMA stack (all 3 aligned = strong trend)
2. Look for pullbacks to EMA 13 or 48 for entries
3. Use key levels as profit targets
FOR REVERSAL TRADING:
1. Watch for price approaching previous day/week levels
2. Look for rejection candles at these levels
3. Use EMA 13 break as confirmation
FOR BREAKOUT TRADING:
1. Identify consolidation near key levels
2. Enter on break of level with volume
3. Use opposite level as target
⚙️ Settings
All parameters are fixed for simplicity:
- EMAs: 13, 48, 200 periods
- Levels: Previous Day, 2-Day, Previous Week
- All lines thickness: 2
📝 Notes
- Best used on intraday timeframes (1min to 1hour)
- Levels update automatically each day/week
- Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL)
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TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading
The Anh - Scalping 1M Pro V1 LOCKEDScalping 1M - Đánh nhanh, rút lẹ . Cần liên hệ chủ sở hữu để lấy Key kích hoạt .
ThaiRiches Predictor [AI Premium]ThaiRiches Predictor is a comprehensive trend-following system designed to help traders identify high-probability entries while managing risk effectively. This script combines Zero-Lag technology (ZLEMA) with volatility filters and an intelligent AI Dashboard to analyze market conditions in real-time.
Key Features:
Zero-Lag Trend Engine: Uses a custom Zero-Lag EMA (ZLEMA) logic combined with volatility bands to detect trend changes earlier than traditional Moving Averages.
AI Analysis Dashboard: A real-time monitor panel that evaluates Trend, Momentum (RSI), and Volatility to provide actionable advice (e.g., "Strong Uptrend", "Overbought - Wait for Pullback", or "Low Volatility - Caution").
Auto TP & SL System: Automatically calculates and displays Stop Loss (SL), Take Profit 1 (TP1), and Take Profit 2 (TP2) based on ATR, adapting to the current market volatility.
Improved Safety: SL is calculated from the High/Low of the signal candle to prevent premature stop-outs.
Visual Alerts: Clear BUY/SELL labels with price targets and color-coded candlesticks for easy visual confirmation.
How to Use:
BUY Signal: Look for the Green Label and Green Trend Line. Confirm with the Dashboard (Status: BULLISH).
S ELL Signal: Look for the Red Label and Red Trend Line. Confirm with the Dashboard (Status: BEARISH).
Risk Management: Use the provided SL levels. It is recommended to take partial profit at TP1 and trail your stop to entry.
Caution: Avoid trading when the Dashboard shows "Low Volatility" or "Choppy" warnings.
Settings:
You can adjust the Trend Sensitivity and RSI Period.
TP/SL Multipliers are fully customizable to fit different assets (Gold, Forex, Crypto).
ADVANCED NIFTY OPTION BUY SELLADVANCED NIFTY OPTION BUY SELL – V1 is a non-repainting, trend-following TradingView indicator specially designed for NIFTY Index Options (CE / PE) traders.
This indicator focuses on:
Eliminating over-trading
Providing high-quality, low-frequency signals
Avoiding trades during sideways markets
It combines EMA crossover, RSI momentum, and ADX trend strength to deliver clean and reliable buy/sell signals.
RSI Forecast [QuantAlgo]🟢 Overview
While standard RSI excels at measuring current momentum and identifying overbought or oversold conditions, it only reflects what has already happened in the market. The RSI Forecast indicator builds upon this foundation by projecting potential RSI trajectories into future bars, giving traders a framework to consider where momentum might head next. Three analytical models power these projections: a market structure approach that reads swing highs and lows, a volume analysis method that weighs accumulation and distribution patterns, and a linear regression model that extrapolates recent trend behavior. Each model processes market data differently, allowing traders to choose the approach that best fits their analytical style and the asset they're trading.
🟢 How It Works
At its foundation, the indicator calculates RSI using the standard methodology: comparing average upward price movements against average downward movements over a specified period, producing an oscillator that ranges from 0 to 100. Traders can apply an optional signal line using various moving average types (e.g., SMA, EMA, SMMA/RMA, WMA, or VWMA), and when SMA smoothing is selected, Bollinger Bands can be added to visualize RSI volatility ranges.
The forecasting mechanism operates by first estimating future price levels using the chosen projection method. These estimated prices then pass through a simulated RSI engine that mirrors the actual indicator's mathematics. The simulation updates the internal gain and loss averages bar by bar, applying the same RMA smoothing that powers real RSI calculations, to produce authentic projected values.
Since RSI characteristically moves in waves rather than straight lines, the projection system incorporates dynamic oscillation. This draws from stored patterns of recent RSI movements, factors in the tendency for RSI to pull back from extreme readings, and applies mathematical wave functions tied to current momentum conditions. The Oscillation Intensity control lets traders adjust how much waviness appears in projections. Signal line (RSI-based MA) projections follow the same logic, advancing the chosen moving average type forward using its proper mathematical formula. The complete system generates 15 bars of projected RSI and signal line values, displayed as dashed lines extending beyond current price action.
🟢 Key Features
1. Market Structure Model
This projection method reads price action through swing point analysis. It scans for pivot highs and pivot lows within a defined lookback range, then evaluates whether the market is building bullish patterns (successive higher highs and higher lows) or bearish patterns (successive lower highs and lower lows). The algorithm recognizes structural shifts when price violates previous swing levels in either direction.
Price projections under this model factor in proximity to key swing levels and overall trend strength, measured by tallying trend-confirming swings over recent history. When bullish structure prevails and price hovers near support, upward price bias enters the projection, pushing forecasted RSI higher. Bearish structure near resistance creates the opposite effect. The model scales its projections using ATR to keep them proportional to current volatility conditions.
▶ Practical Implications for Traders:
Aligns well with traders who focus on support, resistance, and swing-based entries
Provides context for where RSI might travel as price interacts with structural levels
Tends to perform better when markets display clear directional swings
May produce less useful output during consolidation phases with overlapping swings
Offers early visualization of potential divergence setups
Swing traders can use structure-based projections to time entries around key pivot zones
Position traders could benefit from the trend strength component when holding through larger moves
On lower timeframes, it helps scalpers identify micro-structure shifts for quick momentum plays
Useful for mapping out potential RSI behavior around breakout and breakdown levels
Day traders can combine structural projections with session highs and lows for intraday context
2. Volume-Weighted Model
This method blends multiple volume indicators to inform its price projections. It tracks On-Balance Volume to gauge cumulative buying and selling pressure, monitors the Accumulation/Distribution Line to assess where price closes relative to its range on each bar, and calculates volume-weighted returns to give heavier influence to high-volume price movements. The model examines the directional slope of these metrics to assess whether volume confirms or contradicts price direction.
Unusually high volume bars receive special attention, with their directional bias factored into projections. When all volume metrics point the same direction, the model produces more aggressive price forecasts and consequently stronger RSI movements. Conflicting volume signals lead to more muted projections, suggesting RSI may move sideways rather than trending.
▶ Practical Implications for Traders:
Suited for traders who incorporate volume confirmation into their analysis
Works best with instruments that report accurate, meaningful volume data
Useful for identifying situations where momentum lacks volume support
Less applicable to instruments with sparse or unreliable volume information
Scalpers on liquid markets can spot volume-backed momentum for quick entries and exits
Helps intraday traders distinguish between genuine moves and low-volume fakeouts
Position traders can assess whether institutional participation supports longer-term trends
Effective during news events or market opens when volume spikes often drive directional moves
Swing traders can use volume divergence in projections to anticipate potential reversals
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. These projected prices then generate corresponding RSI forecasts. This creates a clean momentum projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent price trend continues at its current rate of change, where would RSI be in the coming bars?
▶ Practical Implications for Traders:
Delivers a clean, mathematically neutral projection baseline
Functions well during sustained, orderly trends
Involves fewer parameters and produces consistent, reproducible output
Responds more slowly when trend direction shifts
Works best in trending environments rather than ranging markets
Ideal for position traders who want to ride established trends
Useful for swing traders to gauge trend exhaustion when actual RSI deviates from linear projections
Scalpers can use the smooth output as a reference point to measure short-term momentum deviations
Effective baseline for comparing against structure or volume models to measure market complexity
Works particularly well on higher timeframes where trends develop more gradually
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the indicator projects future RSI positions that may help with:
▶ Overbought/Oversold Planning: See whether RSI trajectories point toward extreme zones, giving you time to prepare responses before conditions develop
▶ Entry and Exit Timing: Factor projected RSI levels into your timing decisions for opening or closing positions
▶ Crossover Anticipation: Watch for projected crossings between RSI and its signal line (RSI-based MA) that might indicate upcoming momentum shifts
▶ Mean Reversion Context: When RSI sits at extremes, projections can illustrate potential paths back toward the midline
▶ Momentum Evaluation: Assess whether current directional strength appears likely to continue or fade based on projection direction
▶ Divergence Awareness: Use forecast trajectories alongside price action to spot potential divergence formations earlier
▶ Comparative Analysis: Run different projection methods and note where they agree or disagree, using alignment as an additional filter, for instance
▶ Multi-Timeframe Context: Compare RSI projections across different timeframes to identify alignment or conflict in momentum outlook
▶ Trade Management: Reference projected RSI levels when adjusting stops, scaling positions, or setting profit targets
▶ Rule-Based Systems: Incorporate projected RSI conditions into systematic trading approaches for more forward-looking signal generation
Note: It is essential to recognize that these forecasts derive from mathematical analysis of recent price behavior. Markets are dynamic environments shaped by innumerable factors that no technical tool can fully capture or foresee. The projected RSI values represent potential scenarios for how momentum might develop, and actual readings can take different paths than those visualized. Historical tendencies and past patterns offer no guarantee of future behavior. Consider these projections as one element within a comprehensive trading approach that encompasses disciplined risk management, appropriate position sizing, and diverse analytical methods. The true benefit lies not in expecting precise forecasts but in developing a forward-thinking perspective on possible market conditions and planning your responses accordingly.
ORACLE v13: The Gamified Market HUDORACLE v13 is not just an indicator; it is a complete Trading HUD (Heads-Up Display) that translates complex market data into an intuitive, video-game-style interface. It turns abstract concepts like "volatility" and "support/resistance" into actionable game mechanics, allowing you to react faster and trade smarter.
⚔️ Key Features:
🛡️ Boss & Shield Mechanics (Support/Resistance):
Automatic detection of key levels visualized as "Bosses" (Resistance) and "Shields" (Support).
HP System: Watch price "damage" these levels in real-time. When "Boss HP" hits zero, a breakout is imminent.
🔮 The Bestiary (Market Conditions):
Instantly identifies the "Enemy Type" you are fighting:
🟢 SLIME: Squeeze zone (low volatility, prepare for a move).
👺 GOBLIN: Chop/Noise (high risk, avoid trading).
🐉 DRAGON: Strong Trend (ride the momentum).
👹 BERSERKER: Extreme Volatility (proceed with caution).
📈 Live Structure Mapping:
Real-time ZigZag overlays with automatic HH/LL/LH/HL labels.
Breakout Flash: Candles flash WHITE instantly when major structure or Boss levels are broken.
🎮 Combat Stats:
Combo Counter: Tracks consecutive directional candles.
Aggro Meter: Visualizes volume intensity.
Loot Drop Rate: innovative metric calculating the probability of a profitable move based on current ATR.
Momentum Bar: RPG-style health bar for trend strength.
Why use ORACLE? Most indicators just draw lines. ORACLE gives you Context. It tells you exactly what kind of market environment you are in so you never bring a knife to a Dragon fight. Perfect for scalpers and day traders who need instant situational awareness.
Settings: Fully customizable Lookback periods, ZigZag sensitivity, and Visual Themes.
Hybrid CCI Scalper ProHybrid CCI Scalper Pro is a sophisticated trading system designed to solve the biggest problem in scalping: False Signals in Choppy Markets.
Unlike standard CCI indicators that fire on every crossover, the HCS Pro uses a Hybrid Logic Engine that distinguishes between high-probability Trend Continuations and powerful Reversal Setups. It processes every potential entry through a 6-factor "Quality Filter" before generating a signal.
Core Features:
1. The Hybrid Signal Engine The script identifies two distinct market conditions:
TREND Mode: Triggers when price is aligned with the Daily/Local trend AND the CCI angle is steep.
REVERSAL Mode (REV): Triggers only on Extreme Momentum (steep angle) combined with a Zero-Line cross, allowing you to catch tops and bottoms without waiting for lagging trend indicators.
2. The Quality Scoring System (Q-Score) Every signal is rated from 0 to 6 stars based on confluence. The signal label shows Q: 4/6, Q: 5/6, etc.
Score 4+: High probability (Recommended).
Score 6: "The Perfect Storm" – All filters (Trend, Volume, RSI, ADX) align.
3. The "Ironclad" Filters To eliminate fake-outs, the script enforces strict rules:
Candle Color Guard: Never Buys on a Red candle or Sells on a Green one.
Angle validation: Flat CCI movement is ignored.
MTF Trend: Checks the Daily timeframe (D1 EMA) to ensure you aren't scalping against the major flow.
Noise Filter: Uses ATR and Volume to ignore low-volatility "dead" markets.
4. The Information Panel A clean dashboard on the top-right displays real-time metrics:
Current Daily Trend (Bull/Bear)
Momentum Strength (Weak/Strong/Extreme)
ADX Power (Trending vs Ranging)
Live Signal Score
How to Trade:
BUY Signal: Look for a Green Triangle. Ideally, the Label should say TREND or REV with a Quality Score of 4/6 or higher.
SELL Signal: Look for a Red Triangle with a high Quality Score.
No Signal? If the panel says "WAIT" or the score is low, the market is likely choppy. Stay out.
Recommended Settings:
Gold (XAUUSD): Works best on 15m.
Forex (EURUSD): Works well on 5m - 15m.
Default settings are optimized for a balance between frequency and accuracy.
Liquidity Sweep Sniper AP StyleAP Capital – Liquidity Sweep Sniper (Fab-Style)
📌 Overview
This indicator is a precision scalping tool inspired by professional liquidity-based trading concepts often demonstrated by elite intraday scalpers.
The script focuses on liquidity sweeps followed by strong displacement, aiming to capture short, high-probability momentum moves — particularly effective on lower timeframes (1–5 min) during active market sessions.
It is not a signal spam tool. Signals appear only when multiple objective conditions align.
🧠 Core Concept
Markets do not move randomly — they seek liquidity before expanding.
This indicator identifies:
Buy-side / Sell-side liquidity
Liquidity sweeps (stop-hunts)
Strong displacement candles reclaiming price
Optional higher-timeframe trend alignment
Only when all conditions are met does a signal print.
🔍 What the Indicator Detects
1️⃣ Liquidity Pools
Equal highs or equal lows detected within a configurable lookback
Minimum number of touches required
ATR-based tolerance to adapt to volatility
These levels represent areas where stop orders are likely resting.
2️⃣ Liquidity Sweep
A valid sweep requires:
Price to wick beyond the liquidity level
Candle to close back inside the range
This indicates failed breakout / stop-hunt behaviour.
3️⃣ Displacement Confirmation
After the sweep, the candle must show:
Strong body (default >60% of candle range)
Candle range large relative to ATR
Clear directional intent (momentum)
This filters out weak reactions and chop.
4️⃣ Optional Trend Filter
EMA-based higher-timeframe bias
Helps align scalps with dominant direction
Can be enabled or disabled
📈 Signals
BUY: Sell-side liquidity sweep → bullish displacement
SELL: Buy-side liquidity sweep → bearish displacement
Signals are plotted directly on the chart and can be used with alerts.
⚙️ Recommended Usage
Markets: XAUUSD, indices, liquid FX pairs
Timeframes: 1m–5m
Sessions: London & New York (best performance)
Risk Management: Always required — this tool does not place trades
Best used as a confirmation tool, not standalone.
⚠️ Important Notes
This indicator is inspired by liquidity-based scalping concepts, not an exact replication of any individual trader’s private strategy.
No indicator predicts the future — this tool highlights high-probability scenarios, not guarantees.
Past performance is not indicative of future results.
[ARTIO] TTG Levels Pro: The Grail (S.C.T.) TTG Levels Pro Professional Multi-Timeframe & Intraday Analysis Tool
This indicator is a comprehensive solution for analyzing Key Levels across multiple timeframes and tracking intraday structure. It automates the calculation of significant Support/Resistance zones and provides real-time Volume Weighted data.
How it works (Technical Methodology):
Multi-Timeframe Levels (HTF): The script uses request.security() to fetch High and Low pivot data from higher timeframes (1M, 1W, 1D, 4H, 1H). It identifies the most relevant "unbroken" range levels and projects them onto the current chart.
Intraday Structure (VWAP & Bisector):
VWAP (Volume Weighted Average Price): Calculated cumulatively from the start of the trading day. This represents the fair value based on volume distribution.
Daily Bisector (Midpoint): Calculates the 50% retracement level of the current daily range (High + Low) / 2. This updates dynamically with every tick as the daily range expands.
Visualization Engine:
History Mode: Users can toggle "Path" mode to see how the VWAP and Bisector levels evolved throughout the session (stepline visualization).
Clean Mode: Users can switch to a straight-line projection to keep the chart clean, focusing only on current values.
Features:
Monitor 6 Timeframes simultaneously.
Dynamic Alert System (Price Proximity & Trend Direction).
Synergy Detection: Alerts when multiple timeframe levels cluster together within a defined % range.
Customizable Dashboard Table.
Settings are fully customizable via the inputs menu.
Quantum Edge First Signal DetectorQuantum Edge is a non-repainting, multi-confirmation indicator that detects the first high-probability BUY & SELL signals using momentum, trend, volume, volatility, and price-action voting logic.
🧠 About This Indicator
Quantum Edge – First Signal Detector is designed to solve one common trader problem:
too many late or repeated signals.
Instead of firing continuous entries, this indicator focuses only on the FIRST valid signal after a market shift — helping traders enter early, reduce noise, and avoid over-trading.
It uses a quantum-style voting engine where multiple independent market factors must align before a signal is confirmed.
⚙️ Core Logic (How It Works)
Each candle is evaluated using 6 independent factors:
RSI Momentum
Bullish when RSI > 50
Bearish when RSI < 40
Price Location
Price near recent highs or lows
Volume Expansion
Current volume above moving average
EMA Trend Direction
EMA 20 vs EMA 50
Candle Strength
Strong bullish or bearish candle bodies
Volatility Filter
ATR-based low volatility confirmation
Each factor gives 1 vote.
When minimum confirmations are met, a FIRST BUY or FIRST SELL signal is generated.
🚀 Key Features
✅ First-Signal-Only Logic
Only the first BUY or SELL after trend change
No repeated signals in the same direction
Built-in signal cooldown (user-controlled)
✅ Non-Repainting
Signals are confirmed on candle close
No future data, no repainting
✅ Smart Trend Filtering
EMA-based directional bias
Avoids weak counter-trend entries
✅ Advanced Visual System
Clear BUY / SELL triangles
Trend, volume & momentum backgrounds
Support & resistance zones
Market sentiment bar coloring
✅ Alert Support
Buy alert
Sell alert
📊 Best Timeframes
Scalping: 1m – 5m
Intraday: 5m – 15m
Swing Confirmation: 30m – 1H
Works on:
Forex
Crypto
Indices
Stocks
🎯 How to Trade (Simple Guide)
BUY Setup
✔ First BUY signal appears
✔ Trend is bullish
✔ Use nearby support as reference
SELL Setup
✔ First SELL signal appears
✔ Trend is bearish
✔ Use nearby resistance as reference
Always combine with risk management.
Disclaimer: This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk. Use proper risk management.
Open Interest Bubbles [BackQuant]Open Interest Bubbles
A visual OI positioning overlay that aggregates futures open interest across major venues, normalizes it into a consistent “signal strength” scale, then plots extreme events as bubbles, labels, and optional horizontal levels directly on price.
What this is for
Open interest is one of the cleanest ways to track when positioning is building, unwinding, or aggressively shifting. The problem is raw OI is noisy, exchange-specific, and hard to compare across time. This script solves that by:
- Aggregating OI across multiple exchanges.
- Letting you choose what “OI signal” you care about (raw, delta, percent versions).
- Normalizing the signal so “big events” are easy to spot.
- Plotting those events as bubbles and levels at the exact price they occurred.
You end up with a clean, fast visual map of where large positioning changes occurred, and where those events may later matter as reaction points.
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Plotting types (what you can display)
Bubbles
This mode plots OI events as size-bucketed circles on the chart. Bigger bubbles represent stronger normalized events. You can tune:
- Bubble sizing by bucket (Tiny → Huge).
- Heatmap vs solid color styling.
- Signed vs unsigned coloring (positive/negative separation or magnitude-only).
Best use:
- Spotting “where something changed” at a glance.
- Identifying clusters of positioning events around key price zones.
- Seeing whether the market is repeatedly building/closing positions at similar levels.
Levels
Levels mode draws a horizontal line at the anchor price when an extreme OI event triggers. These act like “positioning memory” levels:
- They do not claim to be support/resistance by themselves.
- They highlight prices where the derivatives market clearly did something meaningful.
Best use:
- Marking potential reaction zones.
- Combining with your price action tools (structure, OBs, FVGs) to confirm whether an OI level aligns with a technical level.
- Building a “map” of where leverage likely entered or exited.
Modes available in the script:
- Off
- Bubbles
- Bubbles + Labels
- Labels Only
- Levels + Labels
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Aggregated Open Interest source (multi-exchange)
This indicator builds a single aggregated OI series by requesting OI data from multiple exchanges and summing it. You can toggle exchanges on/off:
- Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit
You can also choose OI units:
- COIN , OI in base units (native sizing)
- USD , converted for a dollar-value representation
Important note:
Not every symbol has OI data on every venue. If the script cannot build an aggregated series for the symbol, it will throw an error rather than quietly plotting garbage.
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OI Source, what the bubbles are measuring
You control what “signal” is normalized and plotted:
- Delta , change in aggregated OI from the prior bar.
Use when you want to highlight bursts of new positioning or sudden unwind events.
- Raw OI , the aggregated open interest level itself.
Use when you want to highlight absolute positioning build-up periods.
- Delta % , percent change in OI.
Use when you want moves normalized to the current OI regime, useful across different market eras.
- Raw OI % , percent change form of the raw series.
Use when you want relative changes rather than absolute size.
Practical guidance:
- Delta modes are best for “event detection”.
- Raw modes are better for “regime context” and whether positioning is structurally rising or fading.
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Normalization (the key to making it readable)
Because OI varies massively across assets and time, the script includes multiple normalization modes to convert your chosen OI source into a comparable “strength” value.
Options:
- ZScore , deviation from a rolling mean in standard deviation units.
- StdNorm , scaled by rolling standard deviation.
- AbsZScore , absolute value version for magnitude-only mapping.
- AbsStdNorm , absolute value version for magnitude-only mapping.
- None , plots raw values (advanced users only, often too noisy visually).
Why this matters:
Normalization makes a “1.5” or “3.0” threshold mean something across different assets and timeframes, instead of being stuck to raw OI units.
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Threshold system (when bubbles/levels trigger)
The plot is driven by two user thresholds:
- Base Threshold
Controls where “meaningful” events start. Raising this reduces noise and focuses on larger deviations.
- Extreme Threshold
Controls what qualifies as a top-tier event. Extreme events are what you typically want to convert into labels and levels.
You also control side filtering:
- Both , show positive and negative events.
- Positive Only , show only increases (or positive signal side depending on source).
- Negative Only , show only decreases (or negative signal side).
In practice:
- Use Base Threshold to tune chart cleanliness.
- Use Extreme Threshold to mark only the “big stuff” that tends to matter later.
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Anchor Source (where the bubble/level is placed)
The indicator places bubbles, labels, and levels at a price anchor you choose:
- HL2, Close, Open, High, Low, VWAP
This is important because “where you pin the event” changes how it reads:
- Close is clean and consistent for backtesting and candle-close logic.
- High/Low can better represent where the fight occurred intrabar.
- VWAP can be useful for “fair price” anchoring in active markets.
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Style system (theme, palette, signed logic)
This script is built to look good and stay readable on busy charts.
Themes
- BackQuant, Classic, Ice, Fire, Mono, Custom
Palette Mode
- Solid , one consistent color
- Heatmap , intensity increases with magnitude
- Single Color Adaptive , adapts to chart background for clarity
Side Coloring
- Signed , positive and negative events can use different ramps
- Unsigned , magnitude-only coloring
Negative theme handling:
- Auto (mirrors your chosen theme),
- Invert (flips the ramp),
- Custom (fully user-defined negative palette).
What this gives you:
- You can run a clean “mono” look for professional charts.
- Or a high-contrast heatmap for fast scanning.
- Or fully custom branding colors for BackQuant-style presentation.
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Labels (what’s inside the label)
When labels are enabled, the script can display:
- OI , the aggregated OI value
- OI + Norm , OI plus normalized strength
- Norm Only , just the normalized strength
- Src + Norm , the selected source value (Delta, Raw, %) plus normalized strength
You can also control:
- Left/Center/Right label alignment
- Number formatting style (Raw, Compact, Volume format)
Best practice:
- Use “Src + Norm” when you want both the raw event size and its rarity.
- Use “Norm Only” when you want a clean, minimal chart.
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Levels and object limits (performance and cleanliness)
Because this script draws objects, it includes a hard cleanup system:
- You set Max Levels / Labels to control chart clutter.
- The script deletes older lines/labels when the limit is exceeded.
This is critical if you trade lower timeframes, where OI events can trigger frequently.
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How to interpret the signals
What a large bubble usually means:
- A statistically large positioning change relative to recent history.
- This can represent fresh leverage entering, forced liquidations, or aggressive de-risking, depending on direction and context.
How to use levels:
- Treat them as “attention levels”, not automatic entries.
- Combine them with structure and liquidity tools:
- If price revisits an OI level and shows rejection, it often confirms that level mattered.
- If price slices through with no reaction, it often indicates the OI event was transitional, not defended.
Common setups:
- Clustered extreme bubbles near a breakout zone, then retest later.
- Extreme negative event at capitulation low, followed by structure flip.
- Extreme positive build into resistance, then unwind and mean reversion.
Also, please check out @NoveltyTrade for the OI Aggregation logic & pulling the data source!
Here is the original script:
ORB Pro: Sniper Edition [Hybrid Scanner + Smart Ranking]الوصف (Description):
🚀 ORB Pro: Sniper Edition – The Ultimate Day Trading System
The ORB Pro: Sniper Edition is not just an indicator; it is a complete algorithmic trading system designed for scalpers and day traders who trade the Opening Range Breakout (ORB) strategy.
This edition features a revolutionary "Hybrid Scanner" with "Smart Opportunity Ranking" logic that prioritizes fresh signals over old ones, ensuring you never miss a breakout.
🔥 Key Features:
Hybrid Scanner System:
Manual Mode: Monitor your own top 5 favorite stocks.
Auto Scanner Mode: Automatically scans a pre-defined list of Top 20 High-Momentum Stocks (TSLA, NVDA, AMD, COIN, MSTR, etc.) inside the code.
🧠 Sniper Ranking Logic (The Game Changer): Unlike standard scanners that show static lists, this system sorts stocks dynamically in the table based on opportunity:
🥇 Priority 1: Fresh Breakouts (RUN 🚀) that haven't hit targets yet (The Entry Zone).
🥈 Priority 2: Winning Trades (WIN ✅) that already hit targets.
🥉 Priority 3: Weak or Stopped out trades.
Advanced Strategy Logic:
Fibonacci Targets: Precision exits at 1.618, 2.0, 2.618, and 3.618 extensions.
Smart Reversal: Detects "Fakeouts" and flips the signal immediately (e.g., from CALL to PUT) to catch institutional traps.
Trend Filtering: Uses EMA 50 to filter out low-probability trades.
Risk Management:
Auto Breakeven: Moves stop-loss to entry after Target 1.
Trailing Stop: Dynamic stop-loss that follows the price action.
⚙️ How to Use:
Add the indicator to a 5-minute chart.
Go to Settings > Table System > Select "Auto Scanner".
Watch the table: Focus on the top rows showing "RUN 🚀". These are your live entry signals!
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🚀 مؤشر القناص: ORB Pro Sniper Edition – نظام المضاربة اللحظية المتكامل
يعتبر هذا المؤشر نظاماً آلياً متطوراً للمضاربين اللحظيين (Scalpers/Day Traders) يعتمد على استراتيجية كسر نطاق الافتتاح (ORB) الشهيرة، ولكنه معزز بخوارزميات ذكية لتصفية الفرص.
يتميز هذا الإصدار بوجود "ماسح هجين" (Hybrid Scanner) ونظام "تصنيف ذكي" يعطيك الزبدة ويعرض لك الفرص الحية فور حدوثها.
🔥 أهم المميزات:
نظام الماسح الهجين (Hybrid Scanner):
الوضع اليدوي (Manual): لمراقبة قائمتك الخاصة (5 أسهم تختارها أنت).
الماسح الآلي (Auto Scanner): يقوم المؤشر بمسح فوري لقائمة مدمجة تضم أقوى 20 سهم سيولة ومضاربة في السوق الأمريكي (مثل TSLA, NVDA, MSTR, COIN, وغيرها).
🧠 خوارزمية "القناص" للترتيب (Sniper Ranking): الجدول لا يعرض الأسهم عشوائياً، بل يركز على الفرصة الحالية:
🥇 الأولوية القصوى: للأسهم التي أعطت إشارة دخول (RUN 🚀) ولم تحقق الهدف بعد (هذه هي منطقة الدخول الذهبية).
🥈 الأولوية الثانية: للأسهم التي حققت أهدافها (WIN ✅).
🥉 الأولوية الأخيرة: للأسهم المتذبذبة أو الخاسرة.
دقة فنية عالية:
أهداف فيبوناتشي: تحديد آلي لأهداف جني الأرباح (1.618، 2.0، 2.618).
كشف الانعكاس (Reversal): يكتشف الاختراقات الكاذبة (Fakeouts) ويقلب الإشارة فوراً للدخول مع صناع السوق.
فلتر الترند: يستخدم متوسط 50 لمنع الدخول عكس الاتجاه العام.
إدارة المخاطر:
تأمين الصفقة (Breakeven): يرفع الوقف لسعر الدخول تلقائياً بعد تحقق الهدف الأول.
الوقف المتحرك: يلاحق الأرباح للحفاظ عليها.
⚙️ طريقة الاستخدام:
ضع المؤشر على فريم 5 دقائق.
من الإعدادات، اختر نظام الجدول "Auto Scanner".
راقب الجدول: ركز نظرك على الأسهم التي تظهر في أعلى القائمة بحالة "RUN 🚀".
⚠️ Disclaimer / إخلاء مسؤولية: This tool is for educational and analytical purposes only. Trading involves significant risk. Always manage your risk properly. هذه الأداة للأغراض التعليمية والتحليلية فقط. التداول ينطوي على مخاطر عالية.
Options SL/TP Price Projection Sim + Day Trading/Scalping Toolwww.tradingview.com
📌 What this indicator does
This indicator projects what your option contract will be worth when the stock reaches your Stop Loss or Take Profit — before price gets there.
Instead of guessing:
“How much will this option be worth if price hits my stop?”
“Is this move actually worth the risk in option dollars?”
You get instant, realistic option price estimates at your exact stock levels.
⚙️ How it works (simple but powerful)
The script uses a local delta + gamma approximation to estimate option price changes:
Delta → linear price sensitivity
Gamma → curvature for fast moves
Optional execution friction → realistic fills
Automatic Call / Put detection via delta sign
Enforced $0.01 minimum option price (real market behavior)
This is not a slow academic options model — it’s a trader-grade approximation designed for speed and clarity.
🚀 Designed specifically for DAY TRADING
This tool is optimized for:
Options scalping
Momentum trades
Breakouts & flushes
0DTE / weekly options
Holding times ~3–15 minutes
Why it excels here:
Delta + gamma dominate option pricing on fast moves
IV and theta usually don’t have time to fully reprice
You get actionable numbers, not theoretical noise
This is exactly the environment most option day traders operate in.
🧠 Key Features
✅ Projects option price at BOTH SL and TP
✅ Works for calls & puts automatically
✅ Enter any two stock levels — script assigns SL/TP correctly
✅ Clean, black HUD table (no clutter, no moving drawings)
✅ Non-draggable, stable price levels
✅ Minimal inputs — no overengineering
✅ Built for speed under pressure
🎯 Why this is effective
Most traders manage risk in stock points , but trade options .
This indicator bridges that gap.
It lets you:
Judge true risk/reward in option dollars
Avoid “looks good on the chart, bad on the premium”
Compare setups objectively
Size trades more intelligently
Make faster, more confident decisions
It’s especially useful when spreads, gamma, and fast tape make intuition unreliable.
🧼 Philosophy: Clean > Complicated
This script intentionally avoids:
Full Black-Scholes modeling
IV forecasting
Overloaded settings
Visual clutter
Instead, it focuses on what matters for day traders:
“If price gets here quickly, what should my option be worth?”
⚠️ Important Notes
Best accuracy for fast, clean moves
Not intended for multi-hour holds or swing trading
Assumes relatively stable IV over short horizons
Execution friction is configurable to match real fills
Used correctly, this becomes a powerful decision-support tool, not a prediction engine.
✅ Who this indicator is for
Options day traders
Scalpers
Momentum traders
Anyone trading options off stock price levels
If you trade options intraday and manage risk using stock levels, this tool was built exactly for you.
