Educational
VH LEVELSThis indicator plots multi-timeframe levels (Daily, Weekly, Monthly) along with dynamic movement zones derived from previous session ranges. It also includes optional smoothed Heikin Ashi candles, EMA structure, and an auto-direction framework that visually highlights shifts in market behavior.
The tool helps traders observe price movement, trend alignment, and structural changes directly on the chart without generating trading signals.
Optimal Trading ReplayOptimal Trading Replay
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This indicator helps you visualize your executed trades directly on the TradingView chart.
// Features:
// - Imports your trade list (CSV-style text input)
// - Plots entries, exits, and direction arrows
// - Draws P&L summary boxes on chart
// - Useful for replay, journaling, and verification
Alinin Sihirli Lambası v4.0 [AliBaba]This is not investment advice.
It works with 80% success in a 15-minute period and provides buy and sell signals.
It has been tested on SKL OP XTZ ALT VTHQ 100 CHEMS ZEC LUNC.
When the green vertical bar appears, if it is at least 2% below the upper pink line and institutional buying exceeds institutional selling (upper right window).
If you are a TradingView premium member, and the upper target is closer than the lower target, the best buy point is indicated.
The default profit and risk ratio is 2 to 1.5. You can try changing it.
A signal is generated by reprocessing the best indicators and considering general institutional buying and selling pressures.
Bassi MACD Pro + ADX Filter + Smart Histogram TP + RSIA professional-grade MACD indicator that dramatically reduces false signals by combining four powerful filters:
Key Features
Classic MACD (12,26,9) with clean, high-visibility histogram coloring
ADX + DI filter – only takes trades when ADX > user-defined threshold (default 25) ensuring you trade only in strong trending markets
Smart Histogram Take-Profit logic – automatically detects the exact moment bullish/bearish momentum starts to weaken after a strong move and marks a precise TP level (one TP per trade – no repainting, no multiple signals)
Zero-line crossover confirmation + histogram direction filter – eliminates many whipsaw signals common in regular MACD
Separate RSI pane with overbought/oversold levels and visual markers (for additional confluence – does not interfere with main logic)
Visual Signals
Green “MACD BUY” label + lime triangle = confirmed long entry in strong trend
Red “MACD SELL” label + red triangle = confirmed short entry in strong trend
Small lime/red “TP” triangles = Smart Histogram Take-Profit triggered (perfect exit timing based on momentum fade)
Alert Conditions Included
MACD BUY
MACD SELL
TP Long Hit
TP Short Hit
Combined “Any Signal” alert
Why this version outperforms standard MACD
Most MACD crossovers fail in ranging markets. This script solves that by:
Requiring strong trend (ADX filter)
Confirming histogram is actually growing in the new direction
Waiting for the true zero-line cross with momentum
Giving you an intelligent, non-fixed % take-profit based on real histogram exhaustion
Excellent for swing trading, day trading, crypto, forex, and stocks on any timeframe (works especially well on 1H–4H–Daily).
Clean, fast, no repainting, fully alert-ready.
Add to chart → set your alerts → trade only the highest-probability MACD signals.
NQ H1 Stats+NQ H1 Stats - Detailed Prob & Excursion Indicator
Overview
NQ H1 Stats - Detailed Prob & Excursion is a specialized statistical overlay indicator for TradingView, tailored for the Nasdaq futures (NQ) on a 1-hour timeframe. It provides real-time insights into the probability of price returning to the hourly open after sweeping the previous hour's high (PHH) or low (PHL), based on historical data segmented by hour and 20-minute intervals. The indicator visualizes these sweeps with lines, labels, circles, background fills, and "excursion zones" (also called "Magic Boxes") that highlight median/mean extensions post-sweep, along with percentile lines (75th, 90th, 95th) for gauging potential "pain" or extreme moves. This tool is designed for intraday traders focusing on liquidity sweeps, or mean-reversion setups, helping to quantify edge based on empirical probabilities and volatility excursions.
The data is hardcoded from extensive historical analysis of NQ behavior (e.g., probabilities range from ~7% to ~91%, with sample sizes up to 2000+ per segment), making it a backtested reference rather than dynamic learning. It emphasizes visual clarity during active hours, with options to filter for Regular Trading Hours (RTH: 09:00–15:59 ET) or high-probability (>70%) events only. Note: This is an educational tool for analyzing market structure; it does not predict future performance or provide trading signals/advice. Past data does not guarantee future results, and users should backtest on current conditions (as of December 2025 data availability) and use at their own risk, in compliance with TradingView's house rules.
Key Features
• Sweep Detection & Probability Labels: Identifies when price breaks PHH (upside) or PHL (downside), displaying a centered label with probability of returning to the hourly open, sample size (N), time of sweep, and a checkmark (✅) if the open is retested post-sweep.
• Visual Lines & Markers: Draws hourly open (h.o.), PHH, and PHL lines with customizable styles/colors; adds small circles on sweep bars for quick spotting.
• Breakout→Open Background Fill: Shaded zone from sweep bar until price returns to open, visualizing extension duration and retracement.
• Excursion (Pain) Zone - "Magic Box": Post-sweep box showing median/mean extension percentages, colored dynamically by probability (green high, orange mid, red low); includes dashed lines for 75th/90th/95th percentiles to mark statistical extremes.
• Time-Segmented Data: Probabilities and excursions vary by hour (0-23) and 20-min segments (0-19 min: _0, 20-39: _1, 40-59: _2), capturing intraday nuances (e.g., higher probs in early/late hours).
• Filters for Focus: RTH-only mode hides non-session elements; high-prob-only shows >70% events to reduce noise.
• Alerts: Triggers on PHH/PHL sweeps with messages for chart checks.
How It Works
• Data Foundation: Uses pre-computed maps for probabilities (prob_high_taken/prob_low_taken), sample sizes, and excursions (mean, median, p75/p90/p95 as percentages of open). Data is initialized on the first bar via f_init_high_data() and f_init_low_data(), covering 24 hours with 3 segments each (e.g., key "9_1" for 09:20-09:39). Probabilities represent historical likelihood of price returning to open after sweep; excursions quantify average/rare extensions (e.g., 0.156% mean = 0.156% of open price).
• Period Detection: On new 1H bars (new_period_bar), resets visuals, draws lines for open/PHH/PHL extending 1 hour forward, and labels if enabled. Uses request.security on standard ticker for real OHLC, bypassing chart transformations (e.g., Heikin Ashi).
• Sweep Logic: On each bar, checks if real high > PHH or real low < PHL. If so, fetches segment-specific data (hour + floor(minute/20)), displays probability label centered mid-hour. Skips if filtered (RTH-only or <70% prob).
• Excursion Visualization: If enabled, draws "Magic Box" from 1-min to 58-min into the hour, bounded by mean/median levels (top/bottom adjusted for high/low sweep). Adds percentile lines with labels (e.g., "75%") at right end. Box color reflects prob strength for quick bias assessment.
• Retest Check: Monitors for open retest post-sweep (high/low cross open, or gap scenarios from prev bar). Adds ✅ to label if hit on subsequent bars (skips sweep bar to avoid false positives). Stops background fill on retest or at 58-min mark.
• Background Fill: Activates on sweep, shades until retest, using user color.
• Cleanup & Performance: Manages labels in arrays, clears on new periods; no excess drawing beyond max counts (500 lines/labels/boxes).
This setup "meshes" statistical backtesting with real-time visualization: Hardcoded data provides empirical probabilities/excursions (reducing subjectivity in breakouts), while dynamic elements (lines, fills, boxes) overlay structure on the chart. It helps traders assess if a sweep is "high-edge" (e.g., >70% prob of revert) or likely to run (low prob, high excursion), blending historical context with current price action for informed decisions.
Settings and Customization
Inputs are grouped for ease:
1. Settings:
o Show RTH Only (9:00-15:59): Restricts to main session (default: false; tooltip: for RTH-focused stats).
o Show High Prob Only (>70%): Filters low-prob sweeps visually (default: false; tooltip: highlights confidence).
2. Visuals:
o Show Line Labels: Toggle "h.o."/ "phh"/ "phl" (default: true).
o Period Open Line Color: Gray 50% (default).
o Previous High/Low Line Colors: Gray 100% (default).
o Open Line Style/Width: Dotted/1 (default; options: Solid/Dotted/Dashed).
3. Breakout→Open Background:
o Show Breakout→Open Background: Toggle fill (default: true).
o Fill Color: Teal 85% (default).
4. Breakout Circles:
o Show Breakout Circles: Toggle (default: true).
o PHH/PHL Break Circle Colors: White 20% (default).
5. Info Label Style:
o Text Size: Small (default; options: Auto/Tiny/Normal/Large/Huge).
o Label Text Color: White (default).
o Low/Mid/High Probability Colors: Red 20%/Orange 20%/Green 20% (default).
6. Excursion (Pain) Zone:
o Show Excursion Zone: Toggle Magic Box (default: true).
o Excursion Box Color: Gray 75% (default; dynamic overrides).
o 75th/90th/95th Percentile Lines: Orange 30%/Red 30%/Dark Red 100% (default).
No additional tables/plots; all elements are lines/labels/boxes for overlay focus.
Usage Tips
• Breakout Trading: Watch for sweeps with high prob (>70%, green label) as potential fades back to open; low prob (red) may signal runs—use excursion box for targets (e.g., exit at 90th percentile for extremes).
• Time Awareness: Probabilities peak in open hours (e.g., 09:00 ~90%+ for initial sweeps) and drop in off-hours; segments capture momentum shifts (e.g., _2 often lower prob).
• RTH Focus: Enable for cleaner stats during high-liquidity sessions; disable for 24/7 view.
• Visual Filtering: Use high-prob-only in volatile conditions to avoid noise; combine with volume or other indicators for confirmation.
• Alerts Integration: Set TradingView alerts on sweeps; check label for prob/N before acting.
• Chart Setup: Best on 1H or lower NQ charts; adjust text size for readability on mobiles.
• Backtesting: Manually review historical sweeps against data maps to validate; update hardcoded values if new data emerges (as of 2025).
Limitations
• Fixed Data: Hardcoded stats may not reflect recent market changes (e.g., post-2025 volatility shifts); not adaptive.
• Reactive Only: Detects sweeps after they occur; no predictive signals.
• Timeframe Specific: Locked to 1H logic; may not translate to other assets/TFs without recoding data.
• Visual Clutter: On busy charts, labels/boxes may overlap—toggle off selectively.
• No Live Stats: Sample sizes are historical; real-time N/prob not updated.
• Gaps & Extremes: Handles gaps in retest logic, but rare events (e.g., news) may exceed 95th percentile.
Disclaimer
This indicator is for informational and educational purposes only. Trading involves significant risk of loss and is not suitable for all investors. The hardcoded data represents past NQ performance and does not guarantee future outcomes. No claims of profitability are made—results depend on market conditions, user strategy, and risk management. Consult a financial advisor before trading, and backtest extensively. Abiding by TradingView rules, this tool provides no investment recommendations.
VH GOLD This indicator is designed to help traders understand price movement behavior using technical analysis. Instead of generating Buy/Sell signals, the script focuses on identifying the underlying strength, direction, and momentum of the market through visual chart plots.
How It Works
The indicator evaluates key technical conditions such as trend direction, momentum shifts, volatility changes, and structural swings. These conditions are converted into clean on-chart plots that highlight how the market is moving, helping traders interpret price action more confidently.
TF7 Weekly Synthetic FutureThis indicator plots a Synthetic Future Chart by combining the ATM (At-The-Money) Call and Put option prices for NIFTY or SENSEX indices.
It reconstructs the theoretical future price using the formula:
Synthetic Future = ATM Strike + ATM Call Price - ATM Put Price
The indicator allows users to:
View the synthetic future as a line chart or a candlestick chart
Visualise the underlying Call (CE) and Put (PE) prices separately
Choose between NIFTY and SENSEX indices
Select expiry and ATM strike manually for precision
This chart can be helpful for:
Traders comparing synthetic and actual futures prices
Option traders identifying potential mispricing or arbitrage opportunities
Intraday and positional traders who want a refined price reference
📘 How to Use
Add the Indicator
Apply the script on any chart (preferably NIFTY or SENSEX) from the TradingView indicator list.
Configure the Index
In the Trade Set Up section, choose "NIFTY" or "SENSEX" as the underlying index.
Set Expiry & ATM Strike
Input the Expiry Date in YYMMDD format (e.g., 251204 for Dec 4, 2025).
Input the Straddle Strike (ATM strike you want to analyze).
The script auto-generates 18 strikes around this base and selects the closest to LTP.
Toggle Display Options
Show ATM CE/PE: Plots the last traded prices of ATM Call & Put.
Show Synthetic Future: Plots the synthetic price.
Show Candlestick Chart Instead of Line: Plots OHLC of the synthetic future instead of just close price.
Visual Tips
Candlestick bars alternate between semi-transparent green and red for better visibility.
Use shorter timeframes (e.g., 5m, 15m) for intraday strategy testing.
✅ Tips for Best Results
Ensure you're using live market hours for accurate option price data.
Match the expiry and strike exactly with available option symbols on TradingView (format: NSE:NIFTY251204CXXXXX).
Compare synthetic futures with actual FUTURE contracts (e.g., NSE:NIFTY1!) for divergence or convergence signals.
Can be used for calendar spreads, option arbitrage, and volatility-based strategies.
⚠️ Limitations
Options data may not load correctly for illiquid strikes or expired contracts.
The indicator doesn’t account for transaction costs, slippage, or dividend impact.
Requires real-time data for optimal usage; delayed data might affect accuracy.
MNQ Momentum Suite – Intraday Confluence Dashboard (1-5M)MNQ Momentum Suite is a multi-factor intraday momentum dashboard designed primarily for MNQ / NQ on the 1M–5M timeframes during the New York session.
Instead of staring at 3–4 separate indicators, this script combines them into one clean pane
DMI / ADX → who’s in control (+DI vs –DI) and how strong the move is
Momentum MA Slope (T3 or EMA) → directional bias and trend quality
Squeeze Logic (BB vs Keltner) → volatility compression & expansion zones
Composite Momentum Score (–4 to +4) → single number capturing total confluence
Color-coded Dashboard Table → instant Bull / Bear / Flat status for each component
Core Components
1️⃣ Composite Momentum (Main Histogram)
Score range : –4 to +4
Built from 4 building blocks :
DMI direction (Bull/Bear)
ADX strength above threshold
MA slope direction (up/down)
Squeeze direction (after it fires)
Interpretation:
+3 / +4 → strong bullish confluence
+1 / +2 → mild bullish bias
0 → mixed / no edge
–1 / –2 → mild bearish bias
–3 / –4 → strong bearish confluence
2️⃣ DMI / ADX Block
Uses ta.dmi() under the hood.
DI spread histogram (teal/orange) shows which side is in control.
White ADX line measures trend strength – higher = cleaner moves, low = chop.
3️⃣ Momentum MA Slope (T3 / EMA)
User can choose T3 or EMA for the slope engine.
Slope histogram color:
Aqua → MA sloping up (bull-friendly)
Fuchsia → MA sloping down (bear-friendly)
4️⃣ Squeeze (BB vs Keltner)
Yellow dots mark when Bollinger Bands are inside Keltner Channels (volatility squeeze).
When the squeeze releases and price closes on one side of both BB basis and Keltner basis, the script flags a bullish or bearish squeeze fire that feeds the composite score.
Dashboard Table (Top-Right) : The table gives a fast, text-based read of the environment:
DMI Dir – Bull / Bear / Flat
ADX – Numeric trend strength
Slope – Up / Down / Flat based on chosen MA
Squeeze – Building / Fired Up / Fired Down / Idle
Row text is color-coded:
Green when that metric is bull-friendly
Red when it is bear-friendly
Gray/white when neutral
This makes it very easy to glance at the table and see if the environment is mostly green (long-friendly) or mostly red (short-friendly).
Session & Histogram Controls
Use NY Session Filter?
When enabled, all logic is focused on the defined NY session (default 09:30–16:00 exchange time).
how Histograms Only in NY Session?
true → plots only during the NY session (good for live trading focus).
false → plots on all bars, including overnight, so you can study past days and pre-/post-market behavior.
Alerts
Two built-in alert conditions are provided:
Strong Bull Momentum – Composite ≥ 3 during the session.
Strong Bear Momentum – Composite ≤ –3 during the session.
Use these as “heads-up” momentum pings, then confirm with your own price-action, VWAP, HTF levels, and liquidity zones.
Recommended Use
Primary instruments: MNQ / NQ futures, but it can be applied to any intraday symbol.
Primary timeframes: 1M to 5M.
Designed as a confluence and filter tool, not a stand-alone entry system.
Works especially well combined with:
VWAP
10 EMA
Pre-NY and RTH highs/lows
FVG/IFVG and liquidity zones
As with any tool, this is not financial advice and does not guarantee results. Always combine with risk management and your own playbook.
CapitalFlowsRsearch: YC RegimeCapitalFlowsResearch: YC Regime — Yield Curve Regime Histogram
CapitalFlowsResearch: YC Regime takes the same six-regime yield curve framework (bull/bear steepeners, bull/bear flatteners, and their twist variants) and presents it as a dedicated histogram panel. Instead of colouring the background of a price chart, this indicator plots the 2s–10s (or chosen pair) spread as a column series and tints each bar according to the active curve regime, with an overlaid white line to show the raw spread path through time.
By comparing how the spread itself is evolving against the regime classification, traders can see not just what the curve is doing (steepening vs flattening), but also how those moves are building, stalling, or reversing over the chosen lookback. An optional legend explains each regime and the colour mapping, making it easy to standardise interpretation across instruments and timeframes. In practice, this panel functions as a compact “yield curve dashboard” you can stack under risk assets, helping align trades with the prevailing rates environment without exposing the underlying regime logic.
CapitalFlowsResearch: YC Regime (Shading)CapitalFlowsResearch: YC Regime (Shading) — Yield Curve Environment Overlay
CapitalFlowsResearch: YC Regime (Shading) turns the yield curve into a live, colour-coded market backdrop, classifying the curve into six intuitive regimes: bull steepener, bear steepener, steepener twist, bull flattener, bear flattener, and flattener twist. Instead of staring at raw spreads or multiple rate charts, you get a simple visual answer to: “What kind of curve move am I trading in right now?”
The script compares a short-dated and long-dated yield and tracks how both the spread and the individual legs have evolved over a chosen lookback window. From that, it tags each bar with the dominant curve regime and paints either the background or the candles accordingly, so regime changes are immediately obvious on any price chart you overlay it on. An optional on-chart legend summarises the regime definitions and colour scheme, making it easy to interpret at a glance and consistent across instruments and timeframes.
In practice, this overlay acts as a rates context layer for everything else you trade—equities, FX, credit, commodities—helping you link price action back to whether the curve is bull-steepening, bear-flattening, or twisting in ways that often line up with shifts in macro narrative, policy expectations, and risk appetite, all without exposing the underlying classification logic.
SPX Cumulative AD Line IndicatorThe Other ADLines online are trash. Use this one.
This indicator, written in Pine Script version 6, is designed to track market breadth for the S&P 500 by constructing and analyzing a cumulative Advance-Decline (AD) Line. It begins by allowing the user to set two parameters: a smoothing length for the AD line itself and a moving-average length (defaulted to 50 weeks) that will later be applied to the smoothed line. These inputs let traders tailor the sensitivity of the indicator to their preferred timeframe and trading style.
To build the AD line, the script pulls real-time S&P 500 index prices as well as the number of advancing and declining stocks using dedicated market breadth tickers. It calculates the daily AD difference by subtracting declines from advances, a classic method for measuring participation across the index. This difference is fed into a cumulative calculation, which produces a running total that tracks whether market participation is strengthening or weakening over time.
The cumulative AD line is then smoothed with a simple moving average based on the user’s specified smoothing length. At the same time, the script dynamically converts the 50-week moving-average period into an equivalent value for whatever chart timeframe is being used—intraday, daily, weekly, or monthly. This ensures that the moving average of the AD line reflects a consistent long-term trend regardless of the chart’s resolution.
Next, the smoothed AD line is compared to its converted 50-week moving average to determine the market’s directional bias. When the AD line rises above its long-term average, the script labels the environment as bullish; when it falls below, it flags a bearish environment. It also detects crossovers between the two lines, generating discrete buy signals when the AD line crosses upward and sell signals when it crosses downward.
Finally, the indicator visualizes all elements on the chart: the smoothed AD line, its long-term moving average, a zero reference line, and the buy/sell markers. It also colors the line and background to reflect bullish or bearish conditions, making shifts in market breadth easy to spot at a glance. This provides traders with a comprehensive breadth-based tool for identifying trend strength and potential reversals in the S&P 500.
Alt Trading: Tom's Reversal Strategy
The Alt Trading: Tom’s Reversal Strategy indicator is a multi-layered market-structure and regime-detection tool engineered specifically for intraday futures trading. It dynamically computes hourly directional bias using higher-timeframe OHLC data, enabling traders to visually interpret bullish or bearish regime transitions with precision. The system identifies structural turning points through pivot-based swing analysis and confirms Break-of-Structure (BOS) events with strict or non-strict validation logic. Once a valid BOS occurs inside a higher-timeframe continuation window, the indicator generates long or short signals that incorporate intelligent risk modeling, including pivot-derived stop placement and customizable fixed-risk calibration. Automated risk-to-reward boxes are drawn in real time, updating tick-by-tick until either the stop or target is hit, allowing for clear visualization of trade lifecycle and expectancy. A second-order trend-continuation filter highlights specific intra-hour windows—referred to as “blue windows”—giving traders refined timing insights for potential reversals. With optional background bias shading, customizable TP/SL lines, and fully stylized BOS labels, the interface provides a clean, highly interpretable execution framework. Designed with scalpers and algorithmic traders in mind, the indicator blends structure, regime context, and real-time visualization to produce high-probability reversal setups during the most liquid hours of the trading session.
Previous 5 Days OHLC + Dates + PricesTitle: Previous 5 Days OHLC Levels (Extended Lines + Labels)
Description:
This indicator automatically plots the Open, High, Low, and Close (OHLC) levels for the previous 5 trading days. Unlike standard daily separators, this tool extends the lines from their historical origin all the way to the current price bar, allowing traders to instantly see how current price action interacts with recent support and resistance levels.
Key Features:
5-Day Lookback: Automatically fetches and plots OHLC data for the last 5 trading sessions.
Extended Lines: Lines extend to the current bar (Right) to visualize immediate Support/Resistance zones.
Smart Labels: Each line is marked with the Day Name, Date, Type (O/H/L/C), and the Exact Price.
Customizable Positioning: Choose to display labels on the Left (start of the day) or the Right (next to current price) to keep your chart clean.
Toggle Visibility: Individually turn on/off Opens, Closes, Highs, or Lows to focus on the data that matters to your strategy.
How to Use:
Trend Analysis: Use previous Highs and Lows to identify potential breakout or breakdown levels.
Range Trading: Identify where price previously opened or closed to find intraday pivots.
Clean Charting: Use the settings to hide labels or specific lines (e.g., hide Opens/Closes to see only the Daily Range).
Settings:
Label Position: Switch between "Left" (historical origin) and "Right" (current price).
Visibility: Checkboxes to show/hide Open, High, Low, Close, and Text Labels.
Style: Fully customizable colors for each level type.
Technical Note: This script is optimized for performance (Pine Script v6). It uses array management and executes drawing logic only on the last bar to minimize resource usage while maintaining real-time accuracy.
GexView📈 OVERVIEW
GexView indicator plots the Historical Gamma Exposure (GEX) profile, directly on the chart. It enables traders and analysts to observe how GEX profile evolve across multiple days/sessions.
🧲 CONCEPT
Today everybody uses Gamma Exposure. Gamma is the ROC (Rate of Change) for an option’s delta. GEX is crucial for all traders, not just intraday traders, because it helps assess market stability and potential volatility shifts driven by options positioning.
High positive GEX generally implies a mean-reverting market, where big price swings are dampened, while negative GEX signals increased volatility and potential large moves.
Understanding GEX allows traders to anticipate liquidity-driven price action, identify key support and resistance levels, and adjust strategies accordingly. In today’s market, where options flow heavily influences underlying assets, ignoring GEX can mean missing critical market dynamics that impact both short-term and long-term positions.
💡 UNIQUENESS
This indicator is a unique tool and offers a groundbreaking way to visualize market dynamics by plotting Historical Gamma Exposure (GEX), like a Volume Profile across multiple days or sessions. For the first time, traders can clearly see how GEX levels evolve over time, revealing how certain price zones gain or lose importance as market conditions change. This multi-session GEX profile allows users to identify persistent areas of dealer positioning and potential support or resistance that develop and shift over days. Unlike traditional GEX tools designed primarily for intraday use, this indicator provides valuable insight for both short-term traders and medium-term investors seeking to understand how option market flows influence price behaviour over extended periods.
⚙️ FEATURES
• Historical Gamma Exposure
The GexView indicator by default plots the last 6 days of the GEX profile, providing a framework for understanding the bigger picture.
• GEX profile
Displays the 10 largest GEX levels across all expirations (thick lines), as well as the 10 largest GEX levels for the next expiration (thin lines, 0DTE or upcoming).
• Update
Daily, after market close, based on new open interest. No more manual level imports.
Just one-click update.
• Settings
Option to plot total sum GEX for all expirations, or only net GEX for next expiration.
• Watchlist
SPX, NDX, DIA, SPY, QQQ, VIX, VXX, IBIT
(Additional tickers coming soon)
• Mapping
The indicator automatically detects and maps the underlying ticker on your chart, or lets you plot any symbol from the available watchlist.
🔍 HOW TO USE
• Identify intraday support and resistance levels shaped by option market dynamics
• Quickly spot significant GEX levels and compare how they relate to other key levels.
• Compare current vs. past GEX distributions for contextual trend analysis
• Observe structural GEX shifts that may align with volatility or mean-reversion setups
• Easily understanding if an asset trading on positive gamma (around green lines), or negative gamma (around red lines)
Examples:
1. DIA ETF
2. QQQ and VIX
📚 NOTES
• Calculation
GEX for All Expirations: This is the total sum (Call+Put) of gamma exposure of all expirations.
GEX for Nearest Expirations: This is the net sum (Call-Put) of gamma exposure of next expirations (0DTE if available).
• Trading Session - RTH & ETH
The indicator can include the extended trading hours when activated on the chart.
✅ VISUALIZATION
• Vertical implementation of gamma exposure profile.
• Thick lines represent the total gamma exposure across all expiration contracts.
• Thin lines represent the gamma exposure of next expiration only.
• All Expirations: Green colour if Calls > Puts, Red colour if Calls < Puts
• Next Expiration: Lime colour if Calls > Puts, Maroon colour if Calls < Puts
⚠️ DISCLAIMER
This indicator is provided for informational and educational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Historical Gamma patterns and analytical interpretations do not guarantee future performance.
All analysis should be combined with independent research and risk management.
MACD with EMA FilterThis indicator combines the MACD (Moving Average Convergence Divergence) with an EMA-based trend filter to improve the quality of entry signals.
MACD identifies changes in momentum and potential trend reversals, while the EMA ensures that signals are taken only in the direction of the broader trend.
Fluxion Oscillator [Kodexius]Fluxion Oscillator is a multi dimensional momentum and flow toolkit designed to highlight exhaustion, reversals and confluence in a very compact way. The script combines a normalized trend oscillator, volume sensitive money movement, a volatility gauge and a visual confluence gauge that all sit in a single pane.
Instead of focusing on a single signal, Fluxion looks at the interaction between price, momentum and volume. The core oscillator tracks the relationship between a fast and a slow response of price, then rescales it into a stable 0 to 100 band. A companion flow line tracks how actively price is being supported or pressured by volume. On top of that, a volatility based gauge and an overbought or oversold reversal layer help highlight when moves are stretched and vulnerable.
The result is an environment where you can quickly see:
-When momentum is expanding or fading
-When price swings are supported or rejected by volume
-Where local tops or bottoms can be forming through divergence
-How strong the current push is in the context of recent volatility
-A compact gauge that visually ranks the current state from “minimum” to “maximum” pressure
It is not a trading system by itself, but a framework that makes it much easier to build rules and confluence around your own strategy.
⭐ Features
Normalized Fluxion Oscillator
Core oscillator built from the difference between a fast and a slow smoothing of the chosen source.
Automatically normalized into a bounded range so it behaves consistently across symbols and timeframes.
Dual line structure: the main line and a signal line, making crossovers easy to read.
Dynamic fill that shifts color depending on whether the main line is above or below the signal line.
Bullish and Bearish Crosses
Visual circles highlighting when the main oscillator crosses its signal line upward or downward.
Bullish crosses emphasize potential momentum ignition after downside pressure.
Bearish crosses emphasize potential cooling of momentum after upside pressure.
Money Flow Layer
Separate line that blends price and volume over a configurable lookback.
Smoothed to reduce noise and plotted around a central balance level.
Colored region that clearly shows whether buying pressure or selling pressure dominates.
Divergence Detection Suite
Automatic detection of regular bullish and regular bearish divergences between price and the normalized oscillator.
Optional hidden bullish and hidden bearish divergences for continuation setups.
Uses pivot based swing points so the lines attach to meaningful highs and lows instead of random wiggles.
All divergence types can be toggled independently so you can keep the chart as clean as you like.
Volatility and Positioning Gauge
A compact gauge that evaluates where the current price sits relative to a volume weighted average and its recent typical fluctuation.
Colors shift as price moves from neutral to stretched zones in either direction.
Background highlighting above and below the oscillator scale to reflect when this gauge is in an extreme region.
Helps quickly see whether you are buying into strength after a large extension or stepping in near value.
Reversal Signals With Volume Confirmation
A higher time sensitivity reversal metric based on a 0 to 100 scale of recent price changes.
Signals are only highlighted when there is also a short burst in volume, so quiet market noise is reduced.
Bearish reversal markers appear in the upper region, bullish markers in the lower region, giving a clear visual “top” and “bottom” feel.
Confluence Gauge
Right side grid composed of horizontal bands, from “Min” at the bottom to “Max” at the top.
Each band reflects a segment of a smoothed, range based momentum reading that tracks how far price has advanced within its recent 0 to 100 window.
The currently active band is highlighted in green for bullish momentum or red for bearish momentum, depending on the relationship between fast and slow lines within that range.
A pointer and labels make it obvious where the current environment sits relative to the full range of possible conditions.
Divergence Core
Users can define the pivot length to control how strict and how far apart swing points should be.
High Customization
Adjustable lookback lengths for the core oscillator, signal smoothing and normalization.
Separate controls for money flow length and smoothing.
Optional toggles for each divergence type so you can focus only on the structures you care about.
⭐ Calculations
This section explains conceptually how Fluxion works without exposing the full underlying formula details. The goal is to help you understand what each component represents and how it behaves, so you can use it more effectively.
Fluxion Oscillator Core
The foundation of the indicator is the difference between two smoothed versions of the selected price source. One reacts more quickly to new price information, the other reacts more slowly.
When the fast curve is above the slow curve, the oscillator becomes positive, signaling that short term action is advancing faster than the background trend. When the fast curve is below the slow curve, it becomes negative, indicating short term weakness.
This raw difference is then normalized over a rolling window. The highest and lowest values in that window are used to rescale the oscillator into a 0 to 100 band. This produces a stable, comparable scale across markets and timeframes.
A secondary smoothing of the oscillator creates the signal line. The interaction between the main line and this signal is used to color the fill region and locate cross events.
Money Flow Construction
The money flow line is based on how price closes within its candle range combined with the traded volume. Up candles with strong closes and high volume contribute positively, while down candles with weak closes and high volume contribute negatively.
These contributions are aggregated over a configurable period to create a net “pressure” measure. The result represents how aggressively participants have been positioning over that window, not just whether price went up or down.
The line is then smoothed to reduce micro noise and plotted around a central balance level, here set at 50. Values above the balance zone suggest net positive pressure, values below suggest net negative pressure.
An additional internal threshold is used to detect when this pressure stays on one side of the balance area long enough to be considered an “overflow,” which helps detect sustained accumulation or distribution phases.
Volatility and Positioning Gauge
The gauge computes a volume weighted average price over a user defined period. This gives more weight to prices at which more volume was traded.
It then evaluates how far the current price is from that volume weighted center, relative to the typical price variation around it. This creates a standardized distance measure that tells you how stretched price is from its recent fair zone.
When the distance becomes significantly positive, the market is considered extended upward. When it becomes significantly negative, it is extended downward. Intermediate thresholds are used to create “warning” and “extreme” zones.
Background fills at the top and bottom of the panel change based on this standardized distance, visually indicating when the market is moving into overextended territory that often precedes mean reversion or at least slowing of the move.
Reversal Metric With Volume Filter
A separate 0 to 100 style momentum score is calculated over a mid length window. It evaluates recent gains and losses in price to produce a relative strength measure of the current move.
Upper and lower thresholds on this score are used to mark areas where price action is historically stretched to the upside or downside.
This alone would generate many signals, so a volume based filter is added. Reversal markers are only displayed when this momentum score is in an extreme area and volume has shown a short term pickup.
This combination gives more weight to reversals that occur during active trading, where trapped positions and forced unwinds are more likely.
Divergence Engine
The divergence logic scans for swing highs and swing lows in the normalized oscillator and in price. Swing points are defined by requiring a certain number of bars on both sides of the pivot, which you can configure via the divergence length input.
For regular bullish divergence:
Price makes a lower low, indicating apparent weakness.
The oscillator makes a higher low over the same general region, indicating that internal momentum is actually improving.
If both conditions are met within a valid bar distance, a bullish divergence line is drawn from the prior oscillator pivot to the new one.
For regular bearish divergence:
Price makes a higher high, suggesting continued strength.
The oscillator makes a lower high, showing that underlying momentum is waning.
The engine checks that both pivot structures appear within an allowed time frame, then draws a bearish line between the oscillator peaks.
Hidden divergences are handled in a similar way, except the direction of price and oscillator swings is reversed, which makes them suitable for trend continuation contexts instead of reversal contexts.
Confluence Gauge
The grid on the right converts a smoothed, range based momentum reading into ten equal bands. This momentum reading looks at where the current value sits between the lowest and highest readings of a recent window, then rescales it into a 0 to 100 scale.
That 0 to 100 value is divided into ten slices of ten points each. For example, 0 to 10 is the lowest band, 90 to 100 is the top band.
The algorithm then checks whether the fast component of this reading is above or below its slower companion. If fast is above slow, it is treated as bullish pressure and the active band is colored in green. If fast is below slow, it is treated as bearish pressure and the active band is colored in red.
A pointer label is placed alongside the active band and “Max” and “Min” markers are drawn above and below the grid. This creates a compact visual where you can quickly gauge if the current state is closer to the lower boundary of recent conditions or to the upper boundary, along with its directional bias.
Normalization And Scaling
Several internal components use rolling highest and lowest values to transform raw readings into normalized percentages. This includes the main oscillator and the range based momentum used by the confluence gauge.
The key idea is to express conditions relative to what has recently been possible on that instrument and timeframe instead of using absolute fixed thresholds. This makes Fluxion adaptive and more robust when switching between assets with different volatility profiles.
SuperTrend Fusion — Trend + Momentum + Volatility FilterSuperTrend Fusion — Trend + Momentum + Volatility Filter
SuperTrend Fusion — ATP is an original, multi-factor trend-filtering tool that enhances the classic SuperTrend by combining three market dimensions in one unified model:
1. Trend direction (SuperTrend)
Provides the base trend structure using ATR-based volatility bands.
2. Momentum confirmation (Average Force – adapted)
An adapted version of an open-source “Average Force” concept published on TradingView by racer8.
This component measures where closing price sits relative to recent highs/lows, smoothed to capture directional pressure.
3. Market condition filtering (Choppiness Index)
Filters out sideways, non-trending zones where SuperTrend alone typically produces false flips.
Together, these components create a cleaner, more selective system that focuses on higher-quality SuperTrend reversals, avoiding the most common whipsaws that occur during low-momentum or high-choppiness periods.
🔍 How it Works
A long signal occurs when:
- SuperTrend flips from downtrend to uptrend
- Momentum (AF) is positive (optional filter)
- The market is trending and not excessively choppy (optional filter)
A short signal triggers under the symmetrical conditions.
Filtered signals are visually marked with subtle “X” markers so traders can understand when a raw SuperTrend flip was rejected by the filters.
The indicator also includes:
Enhanced styling for better visibility
Colored bars during valid signals
Optional background highlight during choppy periods
🎯 What This Indicator Is Designed For
This tool aims to:
- Improve the quality of SuperTrend entries
- Remove many low-probability signals
- Help traders visually identify when the market has the momentum and structure required for cleaner trend continuation
It is not intended to predict markets or guarantee accuracy; rather, it provides structure and clarity for decision-making based on technical rules.
⚙️ Inputs
- ATR Length & Factor (SuperTrend)
- Average Force Period & Smoothing
- Choppiness Length & Threshold
- Option to enable/disable each filter individually
📘 Credits
This script includes an adapted version of an open-source “Average Force” function originally published on TradingView by its author, racer8.
SuperTrend and Choppiness Index components are derived from classical, public-domain formulas.
📌 Important Notes
This indicator is not a strategy and does not guarantee performance.
Signals are based on historical calculations only and do not use lookahead.
Past performance does not guarantee future results.
Always test different assets and timeframes before using in live conditions.
👍 Recommended Usage
For a clean experience:
- Use on standard candlestick charts
- Avoid non-standard chart types (Renko, Heikin Ashi, Kagi, Range)
- Combine with your own risk management and trade planning
Casper 5min candle v0.6--------------------------------------------
Description
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This is an indicator showing trade ideas and alerts based on
5minute Candle breakout strategy according to www.youtube.com
BASIC FUNCTIONS
- it draws 5 min Range (default 9:30 NY time at Stock market open)
- detects breakout of range with fvg_tap_wait
- wait for tapping FVG
- waits for entry confirmation
- it has sets of alerts (FVG creation, FVG tapping and Entry confirmation)
New York Midnight Day Separator by JPThis is an updated script with setting added for transparency, line type etc., thanks to the original publisher of this code.
Stock Reference DataIndicator that paints a table with reference data such as Earnings Date, Avg Volume, ATR, ATR% etc.






















