Risk Calculator ($) - (MGC, GC, MES, ES, MNQ, NQ)This indicator is a simple, fast risk calculator designed for futures traders who want to know their exact dollar risk before entering a trade, especially when using limit-based stops (ex: Tradovate).
Supported Contracts (Auto-Detected)
The script automatically detects the chart symbol and applies the correct contract values for:
MNQ / NQ
MES / ES
Micro Gold (MGC)
Gold (GC)
No manual instrument selection required.
How It Works:
Set your maximum allowed dollar risk
Enter your stop size in points
Select a contract preset (1–10) or use a custom contract size
The indicator instantly calculates:
Total dollar risk
Stop size in points and ticks
Active contract count
All information is displayed clearly in the top-right corner of the chart.
Risk Guard (Discipline Feature):
If your calculated risk exceeds your defined max risk, all text turns red and displays a warning.
This is intentionally designed to prevent accidental oversizing and emotional contract creep.
Why This Exists:
Many platforms do not show dollar risk when placing limit-based stops. This tool solves that problem.
Notes:
Stop size is entered in points
Designed for discretionary futures traders using fixed risk per trade
Optimized for speed and clarity during live trading
Educational
TruTrend Market Bias FREETruTrend — Market Bias & Signal Indicator (Free)
TruTrend (Free) is a real-time market bias and signal indicator designed to help traders see trend direction and key buy/sell moments with clarity.
This version focuses on core trend structure and momentum shifts, giving you a clean visual read of the market without clutter. Signals update live and are intended to help traders stay on the right side of the move.
TruTrend Free is built to be simple, fast, and easy to use — ideal for traders who want structure without complexity.
What the Free Version Provides
• Market bias (bullish vs bearish)
• Basic buy & sell signals
• Trend structure visualization
• Clean, easy-to-read chart layout
Important Notes
• Signals are real-time and non-repainting
• Designed for general guidance, not trade automation
• Works across all markets and timeframes
Upgrade to Pro / Pro+
For advanced filtering, earlier entries, stronger confirmations, and premium features, check out TruTrend Pro and Pro+.
🔓 Upgrade access: whop.com
Midnight Open Levels by haze!This indicator automatically plots the midnight open prices for both the New York (00:00 EST) and London (00:00 GMT) trading sessions. These levels are widely recognized in institutional trading frameworks as significant reference points for intraday price action.
What Are Midnight Open Levels?
Midnight open levels represent the price at which each major trading session begins at 00:00 local time. Institutional traders and algorithmic systems often reference these levels when making trading decisions, which can create zones of increased liquidity and potential price reactions.
This indicator is provided for educational purposes. No indicator guarantees profitable trades. Always practice proper risk management, use appropriate position sizing, and conduct your own analysis before making trading decisions.
Risk Reward Table Only UYRisk–Reward Template (UY) — How to Read & Use It
This tool is designed to make position risk and reward fully transparent before you trade.
What You Enter (Inputs)
Account Size ($)
Your total trading capital.
Account Invested ($)
How much capital you are allocating to this position before leverage.
Entry and Exit Prices
How to Use This Tool Properly
If Total Risk % feels uncomfortable, the trade is oversized.
If Stop % is large, If Gain doesn’t justify Risk, skip the trade.
If Leverage inflates risk too much, reduce size
eXquTrading FIB (Auto)eXquTrading FIB (Auto) — EMA144/169 Cloud + 8X Score + Auto Fibonacci (Single Set)
This indicator uses the EMA144/169 Cloud to define the market regime (LONG/SHORT/NEUTRAL), then generates BUY/SELL signals based on an 8-factor scoring system, while automatically drawing one Fibonacci set and extending it to the right so labels remain readable.
Features
Trend Regime (EMA144/169 Cloud):
Above cloud = LONG, below cloud = SHORT, inside cloud = NEUTRAL
8X Score Signals: confirmations from RSI, MACD, Stoch, Momentum, Volume, MFI, CCI, OBV(EMA)
Noise-reduction filters:
ATR-based cloud distance filter (reduces chasing signals)
ATR-based impulse candle filter (blocks oversized candles)
Cooldown (limits back-to-back signals)
Auto Fibonacci (Single Set):
Rebuilds on trend flip / fib invalidation / (optional) when a signal appears and no fib exists
Levels: -1.618, -1, -0.382, 0, 0.382, 0.5, 0.618, 1
Fib lines extend to the right on every bar (labels stay clean)
Settings (Quick tips)
Increase Minimum Confirmations (Score) → fewer but cleaner signals
Tighten ATR filters in choppy markets, loosen slightly in strong trends
Increase Right Pad Bars to keep right-side labels readable
Repaint / Execution Mode
Default: bar close only (more reliable)
Optional “Early Signal (Repaint Risk)” enables intrabar signals (faster, but may repaint)
Alerts
8X SCALP BUY
8X SCALP SELL
Disclaimer
For analysis/educational purposes only. Not financial advice. Always test settings on your own symbols and timeframes.
SMT Validador - GKSMT.FXThe validation indicator was created by gksmt.fx (this is his Instagram username).
After years of studying market manipulation, reviewing various documents on correlation breakdowns and everything related to correlated markets, he created the indicator that validates such correlation.
It doesn't indicate whether the asset underwent market manipulation; it validates whether what occurred during market manipulation has the true characteristics of market manipulation.
Credit Cycle IndexThe Credit Cycle Index represents a systematic approach to measuring financial market conditions through the aggregation of multiple credit and risk metrics. This indicator draws conceptual inspiration from academic research on credit cycles and their relationship to asset returns, building on the work of Gilchrist and Zakrajsek (2012) who demonstrated that credit spreads contain significant predictive information about economic activity and equity market performance. The indicator synthesizes publicly available market data into a unified framework that captures shifts in financial conditions before they become apparent in price action.
The theoretical foundation of credit cycle analysis rests on decades of research documenting the relationship between credit market conditions and asset returns. Bernanke and Gertler (1995) established the credit channel of monetary policy transmission, demonstrating how financial conditions amplify and propagate economic shocks through the broader economy. Schularick and Taylor (2012) documented how credit growth and credit conditions historically preceded major market dislocations, while Krishnamurthy and Muir (2017) showed that credit market variables exhibit predictable cyclical patterns that correlate with subsequent equity returns. These empirical findings suggest that monitoring credit conditions provides valuable information about the risk environment facing investors.
Unlike sentiment indicators that employ contrarian logic based on the assumption that crowd psychology overshoots at extremes, the Credit Cycle Index operates on regime-based principles. Credit market conditions tend to persist rather than mean-revert quickly. Favorable credit conditions typically support continued risk asset performance, while deteriorating conditions often precede extended periods of weakness. This approach recognizes that credit cycles operate on different timescales than sentiment cycles and require different strategic responses.
Methodology and calculation framework
The methodology underlying the Credit Cycle Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor undergoes robust calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme that adjusts dynamically based on prevailing market conditions, with stress-sensitive components receiving increased weight during periods of elevated market vulnerability.
The model produces values on a scale from zero to one hundred, where higher readings indicate favorable financial conditions and lower readings signal deteriorating conditions. Readings above seventy suggest healthy credit environments where risk assets typically perform well. The zone between forty and seventy represents normal conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions across multiple components.
The model incorporates quality filters designed to enhance signal reliability. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors. A momentum filter requires positive index momentum to persist for a minimum duration before confirming entry signals, preventing premature positioning during temporary rebounds within deteriorating environments. These refinements reduce the probability of acting on spurious readings.
Professional application and portfolio integration
Professional portfolio managers recognize the value of credit condition indicators as tools for risk management and tactical allocation. The fundamental insight underlying credit-based strategies is empirically robust: favorable credit conditions create supportive environments for risk assets, while deteriorating conditions warrant defensive positioning. Lopez-Salido, Stein and Zakrajsek (2017) found that credit market sentiment significantly predicts economic activity and asset returns, with their research suggesting that credit conditions lead equity market performance by several months.
For institutional investors operating with fiduciary responsibilities, the Credit Cycle Index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves valuable when it diverges from prevailing market narratives, as such divergences often precede meaningful market inflections. Systematic investors can incorporate the index as a conditioning variable that adjusts position sizing based on the prevailing credit environment.
The integration of credit analysis into investment practice finds support in the concept that credit markets often lead equity markets in recognizing fundamental shifts. Credit market participants including bond investors and lenders frequently possess informational advantages regarding corporate financial health and economic conditions. When credit conditions deteriorate, this often reflects information that has not yet fully incorporated into equity prices, creating opportunities for investors who monitor these signals systematically.
Practical implementation for individual investors
The practical implementation of the indicator follows straightforward principles. When the index rises into the favorable zone above seventy with quality filter confirmation, this suggests credit conditions support risk asset exposure. When the index falls below the caution threshold of forty, defensive positioning becomes appropriate. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective strategies. The zone between these thresholds suggests balanced conditions where other analytical frameworks should take precedence.
Individual investors can derive benefit from the indicator by treating readings as alerts warranting examination of portfolio positioning. A reading in the favorable zone might prompt consideration of whether current equity exposure aligns with target allocations. A reading in the stress zone could trigger review of whether risk reduction measures merit consideration. The indicator should inform rather than dictate investment decisions, serving as one perspective within a broader analytical framework.
The decision to implement a credit condition indicator within an investment process requires consideration of how it complements existing approaches. Fundamental investors can use credit readings to assess whether the risk environment supports their positioning. Technical analysts may find that credit conditions help contextualize price patterns, with favorable conditions adding conviction to bullish setups and deteriorating conditions warranting caution. Quantitative investors might incorporate credit factors into multi-factor models or use them to adjust position sizing.
Trading behavior and strategy characteristics
The Credit Cycle Index employs a regime-following methodology that differs from both trend following and contrarian approaches. The trading logic accumulates positions when credit conditions indicate favorable environments and reduces exposure when conditions deteriorate. This approach positions with prevailing credit market signals rather than against them, recognizing that credit conditions exhibit persistence.
The observation that the indicator may signal favorable conditions while price volatility continues represents an inherent characteristic of regime-based strategies. When the indicator signals favorable conditions, this indicates that underlying credit metrics remain supportive despite surface-level price fluctuations. The indicator identifies phases where credit fundamentals support risk positioning, though short-term price movements may deviate from this underlying support.
Potential users should understand this behavioral characteristic before implementation. The strategy will maintain risk exposure during favorable credit conditions even when equity prices experience temporary weakness. It will advocate defensive positioning during credit deterioration even when equity prices appear stable. Success requires trust in the underlying credit signals and willingness to accept that price action and credit conditions may temporarily diverge.
Suitability and implementation requirements
The Credit Cycle Index aligns appropriately with investors possessing specific characteristics. First, a medium to long term investment horizon proves essential. Credit cycles operate over weeks to months rather than days, and the strategy requires patience to capture regime shifts. Second, a risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature of the indicator during stress periods. Third, comfort with systematic decision making helps maintain discipline when credit signals conflict with prevailing market narratives.
The indicator proves less suitable for day traders seeking intraday signals, investors who prefer purely contrarian approaches, those requiring constant market exposure regardless of conditions, and individuals unable to tolerate periods when the indicator conflicts with price momentum. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates despite its risk management merits.
For appropriate investors, the Credit Cycle Index offers a systematic framework for monitoring financial conditions and adjusting risk exposure accordingly. By providing an objective assessment of credit market health, the indicator helps investors recognize environment shifts and consider positioning adjustments when conditions warrant. The strategy demands patience and discipline but rewards those characteristics with the potential for improved risk-adjusted returns through drawdown reduction during stress periods.
References
Ang, A. and Timmermann, A. (2012) Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313 to 337.
Bernanke, B.S. and Gertler, M. (1995) Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), pp. 27 to 48.
Campbell, J.Y. and Thompson, S.B. (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies, 21(4), pp. 1509 to 1531.
Collin-Dufresne, P., Goldstein, R.S. and Martin, J.S. (2001) The determinants of credit spread changes. The Journal of Finance, 56(6), pp. 2177 to 2207.
Gilchrist, S. and Zakrajsek, E. (2012) Credit spreads and business cycle fluctuations. American Economic Review, 102(4), pp. 1692 to 1720.
Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), pp. 357 to 384.
Krishnamurthy, A. and Muir, T. (2017) How credit cycles across a financial crisis. NBER Working Paper No. 23850.
Lopez-Salido, D., Stein, J.C. and Zakrajsek, E. (2017) Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), pp. 1373 to 1426.
Merton, R.C. (1974) On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), pp. 449 to 470.
Schularick, M. and Taylor, A.M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870 to 2008. American Economic Review, 102(2), pp. 1029 to 1061.
THE TRADE MEISTER PROTOCOL - VOLUME PROFILE EDITIONTHE TRADE MEISTER PROTOCOL - VOLUME PROFILE EDITION
The ATM Protocol is a regime-filtered trading framework that solves the fundamental problem causing retail trader losses: taking counter-trend signals during unfavorable market conditions.
It's a unified decision-making system where trade signals must pass through multiple layers of confirmation before execution. The core innovation is the Regime Filter - a proprietary logic system that gates all trade signals through RSI momentum states AND VWAP swing structure confirmation. Signals that fire during opposing regimes are blocked and marked with an X on your chart.
1. Regime Filter System - Multi-layered confirmation logic requiring RSI momentum (threshold-optimized at 65/32) AND VWAP swing alignment before allowing UT Bot signals to execute. When conditions don't align, signals are rejected in real-time.
2. Automated Trade Setup Calculator - Proprietary algorithm that scans support/resistance structure (100/500/1000-bar lookbacks), identifies nearest structural levels for stop placement, calculates two profit targets, and displays live Risk:Reward ratios. Falls back to ATR-based calculations when structure is absent.
3. Adaptive VWAP with Volatility Adjustment - Custom implementation using alpha decay functions and ATR-based volatility ratios to adjust tracking periods dynamically. Resets on swing highs/lows rather than session anchors, rendered as polylines for clarity.
Volume Profile Integration adds institutional context: Session-based profiling (Tokyo/London/NY/Daily/Weekly/Monthly/Quarterly/Yearly) with POC/VAH/VAL identification shows where institutions actually traded, not just where price went. Supports both Volume and Open Interest data types for futures traders.
Longevity Zone Tracking displays support/resistance age in Days/Months/Years with automatic violation removal, helping identify which levels have institutional significance based on duration.
The Problem This Solves
Most traders struggle with conflicting signals. RSI says oversold, MACD shows bearish, volume is declining, VWAP is below price - which do you trust? The result: analysis paralysis or worse, taking every signal and getting chopped to pieces.
The ATM Protocol's solution: Create a hierarchy where signals must satisfy multiple conditions simultaneously. The regime filter acts as the gatekeeper - no signal executes unless the market regime confirms the direction.
How the Regime Filter Works
The regime filter operates in three stages:
Stage 1 - RSI Momentum Assessment:
- RSI crossing above 65 while price shows upward EMA momentum = Bullish Regime
- RSI dropping below 32 with downward price momentum = Bearish Regime
- Neither condition = Neutral (no directional bias)
Stage 2 - VWAP Swing Structure:
- Most recent swing high > most recent swing low = VWAP Bullish
- Most recent swing low > most recent swing high = VWAP Bearish
- Uses 50-period swing detection (configurable)
Stage 3 - Signal Filtration:
- UT Bot buy signals only execute when: Bullish Regime + VWAP Bullish
- UT Bot sell signals only execute when: Bearish Regime + VWAP Bearish
- All other signals are rejected and marked
You can disable the filter or remove VWAP requirement in settings for more aggressive trading, but the default configuration prioritizes quality over quantity.
Volume Profile: Institutional Context
Standard indicators show where price moved. Volume Profile shows where volume accumulated - revealing where institutions made decisions.
Key Levels Explained:
Point of Control (POC): The price level with the most volume during the session. Institutions traded most heavily here. Acts as magnetic support/resistance.
Value Area High (VAH) / Value Area Low (VAL): The price range containing 70% of the session's volume (configurable). This is the "fair value" zone where institutions accepted prices.
Trading Above VAH: Bullish - price accepted above value, new buyers stepping in
Trading Below VAL: Bearish - price rejected, sellers in control
Inside Value Area: Choppy - expect range-bound behavior until breakout
Session Types:
- Intraday (Tokyo/London/NY): See where each major forex session traded
- Daily: Traditional market profile view
- Weekly/Monthly: Swing traders, identify major accumulation zones
- Quarterly/Yearly: Position traders, institutional long-term levels
The Volume Profile uses intra-bar data for precision and supports Open Interest for futures markets, showing delta OI changes that reveal institutional positioning in derivatives.
Automated Trade Setup Calculator
This is where theory becomes execution. When the regime filter confirms a setup, the calculator automatically:
For Long Setups:
1. Scans support levels (100, 500, 1000-bar lows)
2. Places stop at nearest support below current price
3. Identifies next two resistance levels above for targets
4. Calculates R:R ratio (Target 1 distance / Stop distance)
5. Displays all values in the dashboard in real-time
For Short Setups:
1. Scans resistance levels (100, 500, 1000-bar highs)
2. Places stop at nearest resistance above current price
3. Identifies next two support levels below for targets
4. Calculates R:R ratio
5. Updates live as price moves
Fallback Logic: If no structural levels exist nearby (new market, post-gap), the calculator uses ATR-based placement:
- Stop: 1.5 x ATR from entry
- Target 1: 2.0 x ATR from entry
- Target 2: 4.0 x ATR from entry
This removes the 15-20 minutes traders typically spend manually measuring setups. The math happens instantly.
Dashboard Intelligence
The dashboard provides command-center visibility:
Position State: Long/Short/Flat with UT Bot status
Regime Status: Locked (filter active) or Unlocked, showing current bias
VWAP Swing: Current swing structure (Bullish/Bearish)
Multi-Timeframe Matrix: 9 timeframes showing EMA trend alignment (1M to 1Month)
Market Data: Volume analysis, MACD, Stochastic, ATR state
AI Predictive: Synthesized trend bias using smoothed RSI + momentum
Trade Setup: Live entry, two targets, stop loss, R:R ratio
All information updates tick-by-tick. One glance tells you: Is there a setup? What's the regime? Where are my levels?
How to Use This Protocol
Philosophy: You Are the Sniper, This Is Your Scope
The ATM Protocol doesn't predict the future. It analyzes current structure and tells you when conditions favor high-probability setups. You decide when to pull the trigger.
Step-by-Step Workflow:
1. Check Regime (Dashboard Top Section)
Look for:
- 🔒LONG = Bullish regime confirmed, look for longs only
- 🔒SHORT = Bearish regime confirmed, look for shorts only
- ⚪NEUTRAL = No regime, stay flat or reduce size
2. Wait for UT Signal
- Green "Buy" label = Long signal (only appears during bullish regime)
- Red "Sell" label = Short signal (only appears during bearish regime)
- Gray X = Rejected signal (counter-trend attempt blocked by filter)
3. Confirm with Volume Profile
Ideal long setup:
- Price at or near VAL (value area low)
- Buy signal fires
- Regime is bullish
- POC is above current price (room to move)
Ideal short setup:
- Price at or near VAH (value area high)
- Sell signal fires
- Regime is bearish
- POC is below current price (room to fall)
4. Review Trade Setup (Dashboard AI Section)
Check:
- Entry: Current price
- Target 1: First profit objective
- Target 2: Full profit objective
- Stop Loss: Invalidation level
- R:R: Aim for minimum 1.5:1, preferably 2:1+
5. Execute and Manage
- Enter at current price when all conditions align
- Set stop at displayed level
- Take partial profits at Target 1 (50% position)
- Hold remaining for Target 2 or trail with LinReg candles
- Exit immediately if regime flips (dashboard shows change)
Position Management with LinReg:
The script plots linear regression candles colored by position state:
- Green candles = In long position
- Red candles = In short position
- Blue signal line = Dynamic trend
Use these to trail stops or add to winners during strong trends.
Longevity Zones: Time-Tested Levels
Support and resistance zones that have held for extended periods carry more weight. The longevity tracker shows:
- Zone age: Days, Months, or Years
- Bar count: Total bars since zone formation
- Auto-deletion: Zones disappear when price violates them
Why This Matters:
A resistance zone that has held for 6 months indicates institutional interest. A support zone that formed yesterday is untested. Longevity helps you prioritize which levels matter most.
Zones display as semi-transparent rectangles (red for resistance, green for support) with labels showing duration. Place stops beyond these zones for optimal invalidation points.
What This Tool Does NOT Do
Brutal Honesty Section:
❌ Does NOT predict the future - Past results never guarantee future performance. Markets change. Regimes shift. Volatility spikes. Nothing is certain.
❌ Does NOT work in all conditions - Ranging, low-volatility, or news-driven markets produce fewer quality setups. You'll have periods with no signals. This is intentional - we're filtering for quality.
❌ Does NOT eliminate losses - Even 3:1 R:R setups fail. Stops get hit. The goal is positive expectancy over 50+ trades, not winning every single one.
❌ Does NOT replace risk management - If you risk 10% per trade, you'll blow your account regardless of how good the tool is. Proper position sizing is YOUR responsibility.
❌ Does NOT guarantee profits - Anyone claiming otherwise is lying. Trading is probabilistic. This tool identifies favorable probabilities. Execution and discipline are on you.
What It Requires From You:
✅ Learning curve - 2-4 weeks to understand regime changes, volume profile context, and setup identification. This isn't "add indicator, print money."
✅ Discipline - Following regime filter means accepting fewer trades. If you force trades during neutral regimes, the tool can't help you.
✅ Risk management - Position sizing, stop losses, profit taking - these are ALWAYS your decisions. The calculator suggests levels. You execute.
✅ Psychological control - Rejected signals (gray X) protect you. Don't override them emotionally. Trust the process over dozens of trades, not individual setups.
Technical Specifications
Components:
- UT Bot (ATR-based trailing stop signals) - Public domain base, regime-filtered
- RSI (14-period default) - Momentum regime definition with optimized thresholds
- Adaptive VWAP - Custom volatility-adjusted implementation with swing resets
- Volume Profile - Session-based institutional level detection (8 session types)
- Linear Regression - Position state visualization with smoothing
- Fibonacci Bands - ATR or StdDev based volatility bands
- Support/Resistance - Multi-timeframe structural levels (100/500/1000 bars)
- Longevity Zones - Duration-tracked pivot-based S/R
Regime Filter Logic:
- Bullish = RSI > 65 AND VWAP Swing Bullish (optional)
- Bearish = RSI < 32 AND VWAP Swing Bearish (optional)
- Neutral = Neither condition met
- Configurable: Disable filter or remove VWAP requirement
Volume Profile Settings:
- Session Types: Tokyo/London/NY/Daily/Weekly/Monthly/Quarterly/Yearly
- Resolution: 5-100 rows (higher = more detail)
- Value Area: 60-80% configurable (default 70%)
- Data Types: Volume or Open Interest (futures)
- Display Modes: 3 visual styles
The ATM Protocol is a scope, not autopilot. It identifies high-probability setups when conditions align. The discipline to wait for confirmation, the courage to execute when signals fire, and the wisdom to honor stops - these come from you.
**Trading is hard.** Most retail traders lose because they take every signal, fight trends, or revenge trade after losses. This tool can't fix those problems. What it CAN do is show you when the market structure favors your direction and automatically calculate logical trade parameters.
**Use it as designed:**
- Trust the regime filter (let it block counter-trend trades)
- Respect the setup calculator (stops exist for a reason)
- Understand Volume Profile context (trade with institutions, not against them)
- Give it time (evaluate over 50+ trades minimum)
The goal isn't to win every trade. It's to create positive expectancy through better trade selection and execution. The regime filter handles selection. You handle execution.
Good hunting. 🎯
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**Disclaimer:** This indicator is a tool for technical analysis and does not constitute financial advice. Trading carries significant risk of capital loss. Past performance of any trading methodology does not guarantee future results. The creator assumes no responsibility for trading outcomes. Users must develop their own trading plan, risk management system, and execution discipline. Never risk more than you can afford to lose.
15m RVOL + CPR Screener [AA37Amna5633]relvol and cpr table 4h 15mint relvol and cpr table relvol and cpr table relvol and cpr table relvol and cpr table
Custom Time Price Lines (Open, Extend to 16:00)MOC SETUP
prints a line at the time that the user defines. MOC setup is 15:50 and 15:55
FRVP VA Zones + MACD + EMA Ribbon{A37Amna5633}fulemas, frvp, with selectable colours lines, and switch on, off levels, with riboon ema 1,2 box selectable ribbon thicknes ,recomended with ema1with 3, and ema2 with7
ICT 9:30 Opening Range ModelICT First Presented FVG after 930 open which includes volume imbalances if any. 7AM-9:29AM Session H/L + Relative equal highs and lows. Opening range gap + Midnight Open
FRVP VA Zones + MACD + EMA Ribbon {A37Amna5633} emas, frvp with selectable coulours in the setting, and swtch on/off lines on the chart in the setting with macd chart
Tifz 2.0UTC Session Ranges and PD/PW Levels
Market Structure Indicator
Created by Tifz
This indicator displays trading sessions and key price levels using UTC time.
All calculations are based on intraday price data, not broker-specific daily candles, so the levels are consistent across all charts.
Session Ranges (UTC Time)
Displays Asia, Frankfurt, London, and New York sessions
Session start and end times can be changed in the settings
Each session is drawn as a shaded price range box
Session boxes have no border lines
The high-to-low price range of each session can be shown in pips below the box
Session box colours and transparency can be changed
These ranges show how price moves within each trading session.
Vertical Time Lines
Displays dotted vertical lines at specific UTC times
Default times are 08:00 UTC and 14:00 UTC
The time of each line can be changed
Line colour and line thickness can be changed
Lines do not extend across the entire chart and are limited in height
These lines are used to mark session opens or specific trading times.
Previous Day and Previous Week Levels (UTC)
Displays:
HOPD – High of the previous day
LOPD – Low of the previous day
HOPW – High of the previous week
LOPW – Low of the previous week
Levels are calculated using UTC day and week boundaries
Highs and lows are built from intraday price data
Levels are drawn as short horizontal lines, not full-width lines
Each line extends a set number of bars to the right
Each level has a label at the right end of the line
Line colour, line style, line thickness, and line length can be changed in the settings.
Who This Indicator Is For
Traders who use session-based analysis
Traders who use previous day and week highs and lows
Traders who want clean charts without unnecessary lines
Important Note
This indicator does not generate trade signals.
It only displays time-based sessions and price levels for analysis..
7 hours ago
Release Notes
Session Ranges (UTC Time)
Displays Asia, Frankfurt, London, and New York sessions
Session start and end times can be changed in the settings
Each session is drawn as a shaded price range box
Session boxes have no border lines
The high-to-low price range of each session can be shown in pips below the box
Session box colours and transparency can be changed
These ranges show how price moves within each trading session.
Vertical Time Lines
Displays dotted vertical lines at specific UTC times
Default times are 08:00 UTC and 14:00 UTC
The time of each line can be changed
Line colour and line thickness can be changed
Lines do not extend across the entire chart and are limited in height
These lines are used to mark session opens or specific trading times.
Previous Day and Previous Week Levels (UTC)
Displays:
HOPD – High of the previous day
LOPD – Low of the previous day
HOPW – High of the previous week
LOPW – Low of the previous week
Levels are calculated using UTC day and week boundaries
Highs and lows are built from intraday price data
Levels are drawn as short horizontal lines, not full-width lines
Each line extends a set number of bars to the right
Each level has a label at the right end of the line
Line colour, line style, line thickness, and line length can be changed in the settings.
Who This Indicator Is For
Traders who use session-based analysis
Traders who use previous day and week highs and lows
Traders who want clean charts without unnecessary lines
Important Note
This indicator does not generate trade signals.
It only displays time-based sessions and price levels for analysis.
IB - BreakoutInitial Balance Breakout / Breakdown strategy
Adjustable session timings
Adjustable entry / stoploss levels
Adjustable Risk to Reward
Satoshi Frame Risk FrameSatoshi Frame Risk Frame
Trade with structure, not emotion.
Satoshi Frame – Risk Frame is a minimalist capital and risk management tool designed for traders who value discipline over hype.
This indicator helps you:
Calculate position size based on fixed risk
Control margin usage with leverage awareness
Visualize risk before entering any trade
Stay consistent across different market conditions
Built for futures and leveraged trading, Risk Frame focuses on one rule only:
Protect your capital first. Profits come later.
This is the first public release by Satoshi Frame —
a framework, not a signal .
Lunar Phases Advanced PaneHigh Precision Lunar Phases Advanced Pane Indicator
Added Benefits of the Lunar Phases in Pane form:
-Oscillator representing Lunar-Earth Distance and Declination with event markers
-Data fields for true Lunar-Earth Distances and Declinations for easy use in connected scripts.
-Declination values normalized to median Distance. Rising/Falling above and below where median = 0.00° from Earth's ecliptic plane.
-Phase based line color change on Distance oscillator, increasing data density for better visual reference
Our Beautiful Companion in the Night:
At New Moon, the Moon sits between Earth and the Sun. The Near side is completely dark, so the Moon is unseen (except during a solar eclipse). At Full Moon, the Near side of the Moon is on the opposite side of Earth from the Sun, so sunlight hits the entire face we see—creating that big, beautifully bright Ball in the night sky. Due to tidal locking, we never see the Far side of the moon from Earth's surface.
Right after New Moon, a thin Waxing Crescent appears low in the western sky at dusk, growing into the half-lit First Quarter, then a bulging Waxing Gibbous until reaching Full Moon which rises exactly as the Sun sets. After Full, it shrinks through Waning Gibbous, Last Quarter (half-lit visible in the early morning sky), finishing with a Waning Crescent (thin sliver again) just before disappearing at dawn for the next New Moon.
The Moon’s orbit is elliptical, so its distance from Earth varies. When Full and near Perigee(closest approach) it appears larger and up to 30% brighter leading way to the name, Super Moon. Near Apogee(farthest distance) the Moon will look smaller and dimmer, or Micro Moon. These extreme alignments tend to cluster in "seasons" because the point of closest approach slowly drifts around the orbit, completing a full cycle every 18.6 years.
Chart zoomed out to highlight the seasonal SuperMoon behavior because of Distance at event:
This indicator places markers on the distance oscillator in the pane for every New/Full Moon. SuperMoon events use larger circles, MicroMoon events use smaller ones (both optional based on distance at event). Distance line color change by Phase, with option for progressive shading:
Precise Perigee (closest approach) and Apogee (farthest away) markers optionally appear on the Distance oscillator line as red diamonds for Perigee and green diamonds for Apogee.
Red line shows the historical minimum, Green line shows the historical maximum for Lunar-Earth Distance. Grey line shows the historical Median distance and/or dynamic Median given the 'Start Date' input to current bar time window. Chart with Apogee/Perigee markers on the Distance oscillator line with Phase based color change:
Chart with Declination enabled as purple line, normalized to the grey Median Distance line as 0.00 from Earths Ecliptic plane with Phase markers on Distance line. The 2 example, vertical lines show when distance extreme is aligned or apposing the declination extreme(1/4 cycle). This Lunar Apsides Precession behavior leads to the tracing of the SuperMoon and Eclipse seasons by 40.7° annually, completing 1 full cycle every 8.85 year cycle(~3,232 days):
The Lunar Apsides Precession refers to the slow rotation of the Moon's elliptical orbit's major axis (the line connecting perigee and apogee) in the direction of the Moon's motion, completing a full 360° cycle in approximately 8.85 years (about 3,232 days). This prograde precession occurs primarily due to gravitational perturbations from the Sun, which exerts tidal forces that torque the Moon's orbit, causing the apsides to advance by roughly 40.7° per year, resulting in the observed period that modulates the timing and magnitude of extreme perigees SuperMoons, and Eclipse Seasons over multi-year cycles.
Extended Functionality
This Advanced Pane version builds on the core Lunar Phase detection by adding Lunar orbital Distance and Declination represented as an oscillator on Pane with data values for easy connection to other scripts like the Universal BackTester :
Accuracy:
New and Full Moon times are typically within ±few minutes
Distances are typically within ±10–100 km ±few minutes
Declination values are typically within ±0.01° of astronomically true, normalized to median distance as 0.00°
The Info Table:
Current — live phase name, live geocentric distance, live Declination value
Next Phase — upcoming New or Full Moon, countdown timer, and expected distance
Next Extreme — upcoming Perigee or Apogee, countdown timer, and expected distance
Settings:
Thresholds group:
"Full"/"New" checkboxes turn SuperMoon and MicroMoon individually on or off for each
Distance inputs let you set your own km cutoffs for what counts as super or micro (defaults are common values around 369,000 km and 405,000 km)
Start Date and End Date control the time range the script scans for events (default 2010–2028)
Distance Boundaries:
"Perigee Extreme" checkbox On/Off with color picker
"Mid" for Median line with options for dynamic range from "Start Date" input to current
"Apogee Extreme" checkbox On/Off with color picker
Distance Oscillator:
"Declination" checkbox with color picker, and visual amplifier input to adjust the oscillation magnitude for enhanced visual reference
Phase Color Shading:
"New Shade/Full Shade" checkbox turns the Waxing/Waning line shade colors On/Off
Color pickers let you choose your own Waxing and Waning colors and shading step
Marker Settings:
"New/Full" marker checkbox with color pickers
"Peri/Apo" marker checkbox with color pickers
Information group:
"Show Info Table" turns the vertical panel On/Off. Text Size dropdown
"(New/Full)" checkbox adds detailed labels directly on New/Full bars with user selected time-zone, distance
"(Peri/Apo)" checkbox adds detailed labels directly on Peri/Apo bars with user selected time-zone, distance
Drop down time-zone for labels
Powered by multiple 50-term approximations of the ELP2000-82B lunar theory.
Disclaimer: The script was developed with assistance from Grok 4.1, always under human supervision and decision-making.
IV Volatility History v1.2# Realized Volatility History - Quick Start Guide
## What This Does
Displays historical realized volatility (RV) calculated directly from price movements. Compare it against your current implied volatility to identify options trading opportunities and gauge whether premium is expensive or cheap.
## How to Use
1. **Get Current IV**: Check your broker's options chain and find the ATM (at-the-money) implied volatility for your ticker
2. **Input the Value**: Open indicator settings and enter the current IV (e.g., `0.15` for 15%) - this creates a reference line
3. **Read the Chart**:
- **Purple line** = Historical realized volatility from actual price movements
- **Red dashed line** = Your current ATM IV (reference)
- **Orange line** = 30-day moving average (optional)
4. **Interpret the Data**:
- **RV below IV** → Options premium is relatively expensive (consider selling premium)
- **RV above IV** → Options premium is relatively cheap (consider buying options)
- **IV Rank > 70%** → High volatility environment
- **IV Rank < 30%** → Low volatility environment
## Settings You Can Adjust
- **Current ATM IV**: Reference line for comparison (update periodically)
- **RV Rolling Window**: Calculation window for realized volatility (default: 10 days)
- **Lookback Period**: Period for IV rank calculation (default: 60 days)
- **Show 30-Day Average**: Toggle moving average line
## Limitations
This indicator requires manual IV updates since TradingView doesn't have direct access to options data. You'll need to check your broker periodically and update the input for accuracy.
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*Method: Calculates annualized realized volatility using rolling standard deviation of log returns, providing a comparison baseline for evaluating implied volatility levels.*
AI Gamma Levels - Options Flow Signals v1.1# AI Gamma Levels - Options Flow Signals
## 📊 Overview
An educational indicator that estimates institutional options positioning using price action, volume analysis, and technical indicators. Designed to help traders identify key support and resistance zones based on gamma exposure concepts commonly used by market makers and institutional traders.
## 🎯 Key Features
**Gamma Flip Level (⚡)**
- Neutral zone where market maker hedging behavior changes
- Calculated using VWAP and price action
- Acts as dynamic pivot point for intraday trading
**Call Wall (🔴)**
- Resistance zone from heavy call seller positioning
- Identifies where upward price movement may stall
- Based on recent highs + ATR-adjusted volatility
**Put Support (🟢)**
- Support zone from put seller positioning
- Shows where downward moves may find buyers
- Calculated from recent lows with volatility adjustment
**AI Trade Signals (🔮)**
- Multi-factor confluence detector with confidence scoring
- Only triggers on high-probability setups (70%+ confidence)
- Provides clear entry, stop loss, and target levels
- Combines gamma regime, RSI, volume, and price proximity
**Regime Detection**
- Identifies Positive Gamma (bullish bias) vs Negative Gamma (volatile) environments
- Background coloring shows current market regime
- Helps adapt trading strategy to market conditions
**Trading Zone Visualization**
- Shaded area between Call Wall and Put Support
- Shows expected trading range based on gamma positioning
- Zone width indicates market compression or expansion
## 🧠 How AI Signals Work
The AI signal layer analyzes multiple factors simultaneously:
1. **Gamma Regime Alignment** - Price position relative to Gamma Flip
2. **Level Proximity** - Distance to Put Support or Call Wall
3. **Momentum Extremes** - Fast RSI showing oversold/overbought
4. **Volume Confirmation** - Above-average volume on the setup
5. **Price Action Quality** - Bar range and volatility characteristics
Signals only trigger when ALL conditions align, reducing noise and false signals.
**BUY Signal Requirements:**
- Price above Gamma Flip (positive regime)
- Near Put Support (within 0.5%)
- RSI < 35 (oversold)
- Volume spike (1.4x average)
- Confidence ≥ 70%
**SELL Signal Requirements:**
- Price below Gamma Flip (negative regime)
- Near Call Wall (within 0.5%)
- RSI > 65 (overbought)
- Volume spike (1.4x average)
- Confidence ≥ 70%
## 📈 How to Use
**For Day Trading:**
- Watch for bounces at Put Support in positive gamma regime
- Look for resistance at Call Wall in negative gamma regime
- Use AI signals for high-conviction entries with clear risk levels
**For Swing Trading:**
- Monitor zone width for compression/expansion cycles
- Enter when price returns to zone edges with AI confirmation
- Use Gamma Flip as trailing stop reference
**For Options Traders:**
- Identify where institutional gamma is concentrated
- Anticipate pinning behavior near expiration
- Understand market maker hedging flow impact on price
## ⚙️ Customization
**Display Settings:**
- Toggle individual levels on/off
- Show/hide trading zone shading
- Enable/disable AI signals
**Calculation Parameters:**
- Lookback Period (5-100 bars) - adjusts level sensitivity
- Volatility Multiplier (0.5-3.0) - widens/tightens zones
- AI Confidence Threshold (60-90%) - signal selectivity
**Visual Customization:**
- Custom colors for all levels
- Adjustable transparency for zones
- Label size and positioning
## 📊 Info Table
Real-time dashboard showing:
- Current Gamma Flip price
- Call Wall resistance level
- Put Support level
- Active gamma regime
- Trading zone width (%)
- AI signal status and confidence
## 🔔 Built-in Alerts
Set alerts for:
- Gamma Flip crossovers
- Price approaching Call Wall
- Price approaching Put Support
- AI BUY signal triggered
- AI SELL signal triggered
## 📚 Educational Background
**What is Gamma Exposure?**
Gamma measures how fast market makers must hedge their options positions as price moves. Large gamma concentrations create support/resistance as dealers buy into weakness and sell into strength.
**Positive vs Negative Gamma:**
- **Positive Gamma** (above Gamma Flip): Market makers hedge by stabilizing price
- **Negative Gamma** (below Gamma Flip): Market makers hedge by amplifying moves
**Call Walls & Put Supports:**
Heavy open interest at specific strikes creates "walls" where price tends to gravitate toward or bounce away from, especially near expiration.
## ⚠️ Important Notes
**This indicator uses price and volume approximations**, not real options chain data. It demonstrates gamma exposure concepts for educational purposes.
**For true options flow analysis**, consider using platforms with access to real-time open interest, options volume, and Greeks data.
**Risk Management:** Always use proper position sizing, stop losses, and never risk more than you can afford to lose. This indicator should be one tool in your complete trading strategy.
**Not Financial Advice:** This is an educational tool. Past performance does not guarantee future results. Always do your own research and consider consulting with a qualified financial advisor.
## 💡 Best Practices
1. Combine with your existing strategy - don't trade signals blindly
2. Use on liquid stocks/indices with active options markets
3. Pay attention to regime changes at Gamma Flip crossovers
4. Higher timeframes (15m, 1H, 4H) tend to be more reliable
5. Adjust parameters based on the asset's typical volatility
6. Wait for AI signals with 75%+ confidence for highest quality setups
## 🎓 Who This Is For
- Options traders seeking to understand institutional positioning
- Day traders looking for high-probability support/resistance
- Swing traders identifying key zone boundaries
- Anyone interested in learning about gamma exposure impact on price
- Traders wanting AI-assisted trade signal confirmation
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**Happy Trading! If you find this indicator helpful, please leave a like and comment with your feedback.**
Optiona Pro Order Block + Dual Volume Profile Dual POC VAH VAL The logic Behind this script was originally taken from the Quadro Volume Profile by Big Beluga, the credit goes to him. but the indicator prepared by using the theme of Dual POC , Dual VAH /VAL separately , to find the where the Institutions used to Buy and Sell the assets with a simple variation in buy first and sell next with a difference of nearly 20 to 50 points difference. This indicator answer the same , to understand the logic behind the Institutional activities in real time trading with the assets. This indicator clarifies the reason behind the Institutional activities.
