SSL Hybrid ScalperIt's a ready to trade script V5, that takes the original SSL Hybrid logic and optimizes it for XAUUSD scalping on 1min to 15min charts for buy & sell signals.
Educational
Risk & Position DashboardRisk & Position Dashboard
Overview
The Risk & Position Dashboard is a comprehensive trading tool designed to help traders calculate optimal position sizes, manage risk, and visualize potential profit/loss scenarios before entering trades. This indicator provides real-time calculations for position sizing based on account size, risk percentage, and stop-loss levels, while displaying multiple take-profit targets with customizable risk-reward ratios.
Key Features
Position Sizing & Risk Management:
Automatic position size calculation based on account size and risk percentage
Support for leveraged trading with maximum leverage limits
Fractional shares support for brokers that allow partial share trading
Real-time fee calculation including entry, stop-loss, and take-profit fees
Break-even price calculation including trading fees
Multi-Target Profit Management:
Support for up to 3 take-profit levels with individual portion allocations
Customizable risk-reward ratios for each take-profit target
Visual profit/loss zones displayed as colored boxes on the chart
Individual profit calculations for each take-profit level
Visual Dashboard:
Clean, customizable table display showing all key metrics
Configurable label positioning and styling options
Real-time tracking of whether stop-loss or take-profit levels have been reached
Color-coded visual zones for easy identification of risk and reward areas
Advanced Configuration:
Comprehensive input validation and error handling
Support for different chart timeframes and symbols
Customizable colors, fonts, and display options
Hide/show individual data fields for personalized dashboard views
How to Use
Set Account Parameters: Configure your account size, maximum risk percentage per trade, and trading fees in the "Account Settings" section.
Define Trade Setup: Use the "Entry" time picker to select your entry point on the chart, then input your entry price and stop-loss level.
Configure Take Profits: Set your desired risk-reward ratios and portion allocations for each take-profit level. The script supports 1-3 take-profit targets.
Analyze Results: The dashboard will automatically calculate and display position size, number of shares, potential profits/losses, fees, and break-even levels.
Visual Confirmation: Colored boxes on the chart show profit zones (green) and loss zones (red), with lines extending to current price levels.
Reset Entry and SL:
You can easily reset the entry and stop-loss by clicking the "Reset points..." button from the script's "More" menu.
This is useful if you want to quickly clear your current trade setup and start fresh without manually adjusting the points on the chart.
Calculations
The script performs sophisticated calculations including:
Position size based on risk amount and price difference between entry and stop-loss
Leverage requirements and position amount calculations
Fee-adjusted risk-reward ratios for realistic profit expectations
Break-even price including all trading costs
Individual profit calculations for partial position closures
Detailed Take-Profit Calculation Formula:
The take-profit prices are calculated using the following mathematical formula:
// Core variables:
// risk_amount = account_size * (risk_percentage / 100)
// total_risk_per_share = |entry_price - sl_price| + (entry_price * fee%) + (sl_price * fee%)
// shares = risk_amount / total_risk_per_share
// direction_factor = 1 for long positions, -1 for short positions
// Take-profit calculation:
net_win = total_risk_per_share * shares * RR_ratio
tp_price = (net_win + (direction_factor * entry_price * shares) + (entry_price * fee% * shares)) / (direction_factor * shares - fee% * shares)
Step-by-step example for a long position (based on screenshot):
Account Size: 2,000 USDT, Risk: 2% = 40 USDT
Entry: 102,062.9 USDT, Stop Loss: 102,178.4 USDT, Fee: 0.06%
Risk per share: |102,062.9 - 102,178.4| + (102,062.9 × 0.0006) + (102,178.4 × 0.0006) = 115.5 + 61.24 + 61.31 = 238.05 USDT
Shares: 40 ÷ 238.05 = 0.168 shares (rounded to 0.17 in display)
Position Size: 0.17 × 102,062.9 = 17,350.69 USDT
Position Amount (with 9x leverage): 17,350.69 ÷ 9 = 1,927.85 USDT
For 2:1 RR: Net win = 238.05 × 0.17 × 2 = 80.94 USDT
TP1 price = (80.94 + (1 × 102,062.9 × 0.17) + (102,062.9 × 0.0006 × 0.17)) ÷ (1 × 0.17 - 0.0006 × 0.17) = 101,464.7 USDT
For 3:1 RR: TP2 price = 101,226.7 USDT (following same formula with RR=3)
This ensures that after accounting for all fees, the actual risk-reward ratio matches the specified target ratio.
Risk Management Features
Maximum Trade Amount: Optional setting to limit position size regardless of account size
Leverage Limits: Built-in maximum leverage protection
Fee Integration: All calculations include realistic trading fees for accurate expectations
Validation: Automatic checking that take-profit portions sum to 100%
Historical Tracking: Visual indication when stop-loss or take-profit levels are reached (within last 5000 bars)
Understanding Max Trade Amount - Multiple Simultaneous Trades:
The "Max Trade Amount" feature is designed for traders who want to open multiple positions simultaneously while maintaining proper risk management. Here's how it works:
Key Concept:
- Risk percentage (2%) always applies to your full Account Size
- Max Trade Amount limits the capital allocated per individual trade
- This allows multiple trades with full risk on each trade
Example from Screenshot:
Account Size: 2,000 USDT
Max Trade Amount: 500 USDT
Risk per Trade: 2% × 2,000 = 40 USDT per trade
Stop Loss Distance: 0.11% from entry
Result: Position Size = 17,350.69 USDT with 35x leverage
Total Risk (including fees): 40.46 USDT
Multiple Trades Strategy:
With this setup, you can open:
Trade 1: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 2: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 3: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Trade 4: 40 USDT risk, 495.73 USDT position amount (35x leverage)
Total Portfolio Exposure:
- 4 simultaneous trades = 4 × 495.73 = 1,982.92 USDT position amount
- Total risk exposure = 4 × 40 = 160 USDT (8% of account)
Quantura - Session High/LowIntroduction
“Quantura – Session High/Low” is a professional-grade session mapping indicator that automatically identifies and visualizes the highs, lows, and ranges of key global trading sessions — London, New York, and Asia. It helps traders understand when and where liquidity tends to accumulate, allowing for better market structure analysis and session-based strategy alignment.
Originality & Value
This indicator unifies the three most influential global sessions into a single, adaptive visualization tool. Unlike typical session indicators, it dynamically updates live session highs and lows in real time while marking session boundaries and transitions. Its multi-session management system allows for immediate recognition of overlapping liquidity zones — a crucial feature for institutional and intraday traders.
The value and originality come from:
Real-time tracking of session highs, lows, and developing ranges.
Simultaneous visualization of multiple global sessions.
Optional vertical range lines for clearer visual segmentation.
Customizable session times, colors, and time zone offset for global accuracy.
Automatically extending and updating lines as each session progresses.
Functionality & Core Logic
Detects the start and end of each trading session (London, New York, Asia) using built-in time logic and user-defined UTC offsets.
Initializes session-specific high and low variables at the start of each new session.
Continuously updates session high/low levels as new candles form.
Draws color-coded horizontal lines for each session’s high and low.
Optionally adds vertical dotted lines to visually connect session range extremes.
Locks each session’s range once it ends, preserving historical structure for review.
Parameters & Customization
New York Session: Enable/disable, customize time (default 15:30–21:30), and set color.
London Session: Enable/disable, customize time (default 09:00–16:30), and set color.
Asia Session: Enable/disable, customize time (default 02:30–08:00), and set color.
Vertical Line: Toggle dotted vertical lines connecting session high and low levels.
UTC Offset: Adjust session timing to align with your chart’s local time zone.
Visualization & Display
Each session is color-coded for quick identification (default: blue for London, red for New York, green for Asia).
Horizontal lines track evolving session highs and lows in real time.
Once a session closes, the lines remain fixed to mark historical range boundaries.
Vertical dotted lines (optional) visually connect the session’s high and low for clarity.
Supports full overlay display without interfering with other technical indicators.
Use Cases
Identify liquidity zones and range extremes formed during active trading sessions.
Observe session overlaps (London–New York) to anticipate volatility spikes.
Combine with volume or market structure tools for session-based confluence.
Track how price interacts with prior session highs/lows to detect potential reversals.
Analyze session-specific performance patterns for algorithmic or discretionary systems.
Limitations & Recommendations
The indicator is designed for intraday analysis and may not provide meaningful output on daily or higher timeframes.
Adjust session times and UTC offset based on your broker’s or exchange’s timezone.
Does not provide trading signals — it visualizes session structure only.
Combine with liquidity and volatility indicators for full contextual understanding.
Markets & Timeframes
Compatible with all asset classes — including crypto, forex, indices, and commodities — and optimized for intraday timeframes (1m–4h). Particularly useful for traders analyzing session overlaps and volatility transitions.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It provides a detailed explanation of functionality, parameters, and realistic use cases without making any performance or predictive claims.
Iron Condor & Butterfly VisualizerIt helps you visualize and manage your option spread by:
Plotting strike prices and breakeven lines directly on the chart.
Showing profit/loss zones, adjustment zones, and alerts when price nears critical levels.
Calculating risk/reward, probability of profit, theta decay, IV condition, and trade score.
🎯 2. Inputs & Configuration
You input your trade details as a comma-separated string:
For an Iron Condor
ShortCall, LongCall, ShortPut, LongPut, Credit, Contracts, Target%
Example: 626,628,620,618,1.20,1,30
For a Butterfly Spread
LowerWing, Body, UpperWing, Debit, Contracts, Target%
Example: 600,620,640,2.50,2,50
The indicator automatically parses this and knows which strategy type you selected.
You can also control:
Visuals (profit zones, breakevens, labels)
Risk (stop loss %, adjustment zones)
Account/risk sizing
Market conditions (IV Rank, current IV, DTE)
⚙️ 3. Data Parsing & Strategy Recognition
The code reads your pasted string, splits it by commas, and determines:
Which strikes are short vs long (or wings/body for Butterfly)
Whether the strategy is credit (Iron Condor) or debit (Butterfly)
Calculates net credit/debit, contract size, and profit target
📈 4. Profit/Loss Calculations
It dynamically calculates:
Max Profit
Iron Condor: net credit × 100 × contracts
Butterfly: (wing width − debit) × 100 × contracts
Max Loss
Iron Condor: difference between strikes minus credit
Butterfly: debit × 100 × contracts
Breakeven points
Iron Condor: short strikes ± net credit
Butterfly: body ± debit
Current P&L relative to the live price (close).
⚖️ 5. Risk & Position Sizing
It checks:
Stop-loss trigger (% of max loss)
Adjustment alert if price nears short strikes
Recommended contract size based on account size and % risk per trade
Actual % of account at risk
⏱️ 6. Time Decay & IV Analysis
If you input days to expiration, it shows:
Theta (approx daily time decay)
Decay progress bar (% of 30-day cycle)
IV condition:
Green: favorable (>50 IV Rank)
Yellow: neutral (30–50)
Red: poor (<30)
🧮 7. Trade Scoring
It gives a Trade Score (0–100) based on:
IV Rank (favorable market)
Risk/Reward ratio
Probability of profit
Default 20 baseline points
This helps gauge whether the setup is statistically attractive.
🧠 8. Visualizations
When the indicator runs, it draws on your chart:
Lines
Red = short strikes
Orange dashed = long strikes
Yellow dotted = breakeven levels
Boxes
Green = profit zone
Orange shaded = adjustment zones (approaching danger)
Labels (optional)
Strike labels (call/put prices)
Info box summarizing:
Profit, loss, risk/reward
Breakevens, theta, target, gamma risk flag
🚨 9. Alerts
The script triggers TradingView alerts when:
Price nears call or put adjustment zones
Profit target is hit
Stop loss is hit
These help you manage the trade without constant monitoring.
🧭 10. In Practice
You’d:
Copy the option strikes and trade details from your broker or analyzer.
Paste them into 📋 PASTE YOUR TRADE DATA HERE.
The indicator plots:
Profit/loss region
Adjustment warnings
Key metrics
Alerts if your trade is in danger or near target.
Full Floating Dashboard YUJiDisplay information on top right corner.
Info shown:
High and Low
Current Price
24 Hour Change
fpmanananaThis is a description of the indicator. It is a really good one that I think is really good.
Trading ScorecardChecklist, note, scorecard, custom table. I originally created the table for currency strength analysis, but it can be used as a checklist. You can also create your own scoring system. The number of columns and rows can be changed. The color and size of the table are customizable.
Inside Day FinderWhat is an Inside Day?
An inside day happens when:
Today’s high is lower than yesterday’s high, and
Today’s low is higher than yesterday’s low.
So, today’s candle is inside the previous day’s range — showing consolidation or indecision in the market.
Reversal Setup TemplatePrice Chart with:
52-week highs and lows (dotted lines)
ATR overlay for volatility context
RSI Panel for momentum and oversold/overbought signals
MACD Panel for trend exhaustion and crossover confirmation
Volume Profile (conceptually integrated for reversal zones)
Mean Reversion Points [Clever Simplified]📊 Indicator Name:
Mean Reversion Points
🧠 Purpose
This indicator is designed to identify potential turning points in the market where the price may reverse back toward its mean (average) — a common concept in mean reversion trading strategies.
It simplifies the detection of overextended highs or lows by marking them visually on the chart, helping traders spot areas where price could correct or “revert” to a more balanced level.
⚙️ How It Works
1. Inputs
Lookback Period (len): Default 35 — defines how many previous bars are analyzed to determine highs and lows.
Show Labels / Show Markers: Toggles to display on-chart signals.
Colors:
Aqua → Mean Reversion Up (potential buy zone)
Orange → Mean Reversion Down (potential sell zone)
2. Core Calculations
The script calculates:
highest → The highest price in the last len bars.
lowest → The lowest price in the last len bars.
highest1 / lowest1 → Shorter-term highs and lows using a quarter of the main lookback (len / 4).
It then stores a “value” that updates depending on whether the price reaches a new high or low.
If the low = lowest, it records the corresponding highest level.
If the high = highest, it records the lowest level.
This dynamic relationship helps the indicator adapt as new bars form.
3. Bands for Comparison
Two “bands” are generated:
band: Long-term boundary based on full lookback period.
band1: Short-term boundary (faster and more responsive).
These act as reference zones to check when price is overstretched relative to its recent range.
4. Mean Reversion Logic
The indicator identifies potential reversal points using crossover conditions:
Mean Reversion Down (mean_rev_dn):
Triggers when the high crosses below the short-term upper band (band1), suggesting potential downward reversion (sell signal).
Mean Reversion Up (mean_rev_up):
Triggers when the low crosses above the short-term lower band (band1), suggesting potential upward reversion (buy signal).
These signals occur when price fails to maintain a breakout and is likely returning toward its mean.
5. Visual Output
If enabled:
Labels:
“Mean Rev ↓” → Placed above candles signaling a possible downward reversion.
“Mean Rev ↑” → Placed below candles signaling a possible upward reversion.
Markers:
Small colored triangles mark the same events for quick visual recognition.
💡 Practical Use
Best For: Swing traders and scalpers who trade reversals or range-bound markets.
Not Ideal For: Strong trending conditions, where price tends to move away from the mean instead of reverting.
Combination Tips: Works best when combined with:
RSI or Bollinger Bands for overbought/oversold confirmation.
Volume indicators to verify strength of reversals.
✅ Summary
Feature Description
Type Mean Reversion / Reversal Detector
Main Concept Identifies potential highs/lows where price may reverse
Signals Buy (Mean Rev ↑) and Sell (Mean Rev ↓)
Visualization Labels and triangles on chart
Customization Adjustable lookback period, markers, and colors TVC:USOIL TVC:DXY CRYPTO:BTCUSD OANDA:XAUUSD OANDA:EURUSD OANDA:AUDJPY
SatoshiFrame Lot Size CalculatorSatoshiFrame Lot Size Calculator that help you to manage your lot size in forex and crypto trade
Extended MacrosExtended Macro Times from XX:42 to XX:15.
These are the times to trade and when the Smart Money Reversal is likely to occur.
Quantura - Quantified Price Action StrategyIntroduction
“Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices.
Originality & Value
The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of:
Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity.
Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs.
RSI filter: Can be set to normal or aggressive, confirming momentum before trades.
Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies.
EMA filter: Aligns trades with the broader market trend.
Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions.
This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow.
Functionality & Indicators
Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap.
Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection.
RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness.
FVG filter: Adds validation by requiring price interaction with inefficiency zones.
EMA filter: Ensures longs are above EMA and shorts below EMA.
Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status.
Parameters & Customization
Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options.
Liquidity filter: Mode (Run or Sweep), display, and swing length.
RSI: Enable/disable, length, and style (normal or aggressive).
Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles.
EMA: Length, enable/disable, and visualization.
Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing.
Visualization: Custom candle coloring and optional overlay for better clarity.
Default Properties (Strategy Settings)
Initial Capital: 10,000 USD
Position Size: 100% of equity per trade (backtest default)
Commission: 0.1%
Slippage: 1
Pyramiding: 0 (only one position at a time)
Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%.
Backtesting & Performance
Backtests on XPTUSD over 2.5 years with the default settings produced:
164 trades
67.68% win rate
Profit factor: 1.7
Maximum drawdown: 27.81%
These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (164) is sufficient for statistical analysis, results may vary across markets and timeframes.
Risk Management
Three configurable take-profit levels with percentage allocation.
Initial stop-loss based on user-defined percentage.
Dynamic stop-loss that adjusts with market movement.
Break-even logic that shifts stops to entry after predefined gains.
Position sizing based on risk percentage of equity.
This framework allows both conservative and aggressive configurations, depending on user preference.
Limitations & Market Conditions
Works best in volatile and liquid markets such as crypto, metals, indices, and FX.
May produce false signals in low-volume or sideways environments.
Unexpected news or macro events can override technical conditions.
Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use.
Usage Guide
Add “Quantura – Quantified Price Action Strategy” to your chart.
Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe.
Configure risk management: take-profits, stop-loss, and risk-per-trade percentage.
Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions.
Optimize parameters before applying the strategy to different markets.
Author & Access
Developed 100% by Quantura. Published as an Invite-Only script.
Important
This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
High Probability TQQQ Call SignalMarket trend filter (both must be true)
SPY uptrend: SPY close > SPY 20-EMA and 50-EMA
QQQ uptrend: QQQ close > QQQ 20-EMA and 50-EMA
Leadership trigger (need at least one)
NVDA breakout: today’s NVDA close > yesterday’s high and today’s volume > 1.5 × 10-day avg vol
MSFT breakout: same rule for MSFT
Signal
If (1) AND (NVDA breakout OR MSFT breakout) → “TQQQ Call” signal prints on the chart and tints the background.
Trade idea implied by the setup
You’re using mega-cap leadership strength to confirm a broad tech uptrend, then buying TQQQ (or calls on TQQQ/QQQ) when leaders expand on high volume.
How to use it (practical rules)
Timeframe: Keep it on a Daily chart (or any chart, but the logic is all Daily).
Entry (simplest):
Enter TQQQ at next day’s open after a signal (or same-day close, but next-open is cleaner for testing).
Stops / invalidation (pick one):
QQQ close < 20-EMA (trend wobble → exit)
Or TQQQ close < 20-EMA
Or ATR stop: 2× ATR(14) below entry (fixed)
(Use whichever matches your style; for position trades, I like “QQQ close < 20-EMA”)
Profit taking (examples):
Partial at +8–12% on TQQQ, trail the rest with QQQ 20-EMA
Or time-based: 10 trading days then reassess, provided trend filters still pass
When to avoid:
Major macro days (CPI/PPI/NFP/FOMC) if you don’t want gap risk
If only one of SPY/QQQ is above EMAs (filter fails)
If breakouts happen on weak volume (below 1.5×)
Disclaimer:
This Pine Script is provided solely for informational and educational purposes. It is not investment advice or a recommendation to buy or sell any security, derivatives, or financial instrument. The signals and logic contained herein are based on historical data and technical analysis concepts, which may not reflect future market conditions.
Users are solely responsible for evaluating the risks associated with trading and investing. The author makes no guarantees regarding accuracy, reliability, or future performance. Past performance is not indicative of future results.
The author is not a registered financial advisor, broker, or dealer, and assumes no responsibility or liability for any financial losses incurred from the use or interpretation of this script.
Trading highly leveraged instruments such as TQQQ, futures, or options carries significant risk, including the possibility of losing more than your initial investment. Always conduct your own research and, if necessary, consult with a licensed financial professional.
By using this script, you agree that you are doing so at your own risk.
Reward-Risk Visual Zones (RRZ)📘 Reward-Risk Visual Zones (RRZ)
A Practical Visual Framework for Assessing Trade Quality Before Entry.
Concept Overview
The Reward-Risk Visual Zones (RRZ) indicator converts the invisible concept of risk-to-reward ratio into a clear, on-chart visualization.
Instead of estimating whether a setup is “worth it,” RRZ dynamically calculates potential reward versus risk using pivots and volatility (ATR) — then color-codes zones to help traders instantly identify high-reward, low-risk entries.
This approach transforms raw price swings into an intuitive visual risk map, making it easier to filter impulsive trades and prioritize statistically favorable opportunities.
⚙️ How It Works
1. Pivot-Based Swing Detection
• The indicator identifies recent swing highs and lows using a sensitivity-controlled pivot algorithm (Pivot Sensitivity input).
• These pivot levels act as potential entry anchors for evaluating the trade’s next reward-risk setup.
2. ATR-Driven Volatility Normalization
• The Average True Range (ATR) defines a volatility-adjusted stop level for each trade idea.
• This ensures that all calculations adapt automatically to changing market conditions and volatility regimes.
3. Reward-to-Risk Ratio Calculation
• For long setups: potential reward = recent highest high − swing low.
• For short setups: potential reward = swing high − recent lowest low.
• Each is divided by the current ATR to normalize scale and produce an intuitive R:R metric (e.g., “2.4 : 1”).
• When the computed R:R meets or exceeds the user-defined threshold (default = 2.0), the zone is flagged as “Good R:R.”
4. Visual Zone Mapping
• The indicator automatically draws Entry, Target, and Stop-Loss lines on the chart, extending them forward for clarity.
• Each line’s color, width, and style are fully customizable.
• “Good R:R” opportunities display in green (long) or red (short), while low-reward setups appear in orange to signal caution.
• Optional labels summarize the complete trade snapshot, including entry, stop, target, and R:R value.
5. Cooldown and Trade Filtering
• To prevent over-plotting in rapid swing environments, a bar-based cooldown system controls how often new signals appear.
• This ensures that the indicator focuses on meaningful structural shifts, not minor oscillations.
⸻
🧠 Why It’s Different
Most risk-reward tools require manual marking or use fixed ratios.
RRZ automates the entire process , combining:
• Real-time swing detection,
• ATR-based adaptive stop placement, and
• Dynamic visual feedback showing if the setup’s reward potential justifies the risk.
It functions as a decision filter, not a signal generator — helping traders develop professional trade selection habits consistent with institutional risk management principles.
⸻
📈 How to Use
1. Primary Context:
• Apply on 5-minute to 1-hour charts for intraday and swing setups.
2. Interpretation:
• 🟢 Good R:R Zone (> Threshold): Favorable setup, potential asymmetric reward.
• 🟠 Low R:R Zone (< Threshold): Unfavorable setup, higher risk exposure.
3. Strategy Integration:
• Use alongside structure indicators, support/resistance tools, or volume analysis to confirm entries.
4. Risk Management Application:
• Visually plan position size and stop distance using plotted lines.
• Back-test various ATR and threshold combinations to align with your personal risk tolerance.
⸻
🧩 Customization
Parameter Purpose
Pivot Sensitivity Controls how reactive the swing points are.
ATR Length Defines volatility baseline for stop placement.
Min R:R Threshold Minimum acceptable reward-to-risk ratio to mark “Good R:R.”
Cooldown Bars Prevents overcrowding of signals during choppy periods.
Line Colors & Styles Personalize entry, target, and stop visualization.
Show Below R:R Zones Toggle visibility of sub-threshold setups for educational use.
⚠️ Disclaimer
The Reward-Risk Visual Zones indicator is designed for educational and analytical use only.
It does not constitute financial advice or guarantee specific performance. Always validate signals and apply disciplined risk management before trading.
👑 KINGDOM ANALYTICS - INSTITUTIONAL LEVELS 11/06/2025═══════════════════════════════════════════════════════════
👑 KEY INSTITUTIONAL LEVELS - Kingdom Analytics - Trading View Indicator
Professional Support & Resistance with Options Market Structure
═══════════════════════════════════════════════════════════
🎯 WHAT IT DOES
**Next-day predictive system** that forecasts where institutional traders will position by analyzing historical options flow, dark pool block trades, and gamma exposure. Unlike traditional S/R that only looks at price history, this **predicts tomorrow's institutional levels** using advanced quantitative analysis.
**Critical: NOT real-time—these are PREDICTIONS for the next trading day. Levels are static (don't update intraday) and expire after 24 hours. MUST regenerate nightly.**
✨ KEY FEATURES
📊 STRENGTH-WEIGHTED LEVELS (0-10 Scale)
Each level shows its institutional backing strength. A level with 8.5 strength has MASSIVE options OI + dark pool activity vs a 2.0 level.
⚖️ ZERO GAMMA (Volatility Regime)
- Above Zero Gamma → Low vol, mean reversion (fade moves)
- Below Zero Gamma → High vol, trending (ride momentum)
This single level tells you which strategy to use!
🧲 MAX PAIN (Options Magnet)
Price gravitates toward max pain as expiration approaches. Trade the drift when price is >3% away with <7 DTE.
📦 DYNAMIC ZONES
When levels cluster within $0.40, automatic zones appear. These are institutional accumulation/distribution areas—highest probability reversal zones.
📈 HOW TO USE (Trading Predicted Levels)
**PRIMARY USE: 0DTE OPTIONS TRADING**
✓ Load fresh Pine Script daily (yesterday's predictions expired!)
✓ Trade bounces/rejections at predicted institutional zones
✓ Levels are STATIC (don't update intraday)—trade the forecast, not real-time changes
0DTE/DAY TRADERS:
✓ Scalp between predicted support/resistance (strength ≥5)
✓ Use predicted zero gamma as regime filter (mean revert vs trend)
✓ Watch for reactions at forecast levels—if price respects = high probability
SWING TRADERS:
✓ Enter at predicted support zones (strength ≥5) + bullish bias
✓ Exit at predicted resistance zones—take profits at forecasted levels
✓ Use multi-day backtests to validate prediction accuracy
OPTIONS TRADERS:
✓ Above predicted zero gamma = sell premium (low vol forecast)
✓ Below predicted zero gamma = buy premium (high vol forecast)
✓ Near predicted max pain + <7 DTE = position for drift
📊 SUPPORTED TICKERS (23)
SPY, QQQ, IWM, AAPL, MSFT, NVDA, AMD, GOOGL, META, TSLA, AMZN, NFLX, AVGO, MU, TSM, ADBE, PLTR, COIN, MSTR, HOOD, BABA, PLUG, GLD
**Prediction Cycle:** Must regenerate nightly—predictions expire after 24 hours (stale forecasts = poor trades).
🎨 VISUAL GUIDE
🟢 Green Lines = Support (price above)
🔴 Red Lines = Resistance (price below)
📦 Shaded Zones = Clustered levels (strongest areas)
⚖️ Gold Dashed = Zero Gamma (regime indicator)
🧲 Purple Dotted = Max Pain (expiration magnet)
Labels show STRENGTH (not price)—price visible on right scale.
Thicker lines = stronger levels.
⚙️ CUSTOMIZATION
Toggle levels, zones, special levels, dashboard
Adjust line width, colors, label sizes
Set volume/ATR thresholds, HMA filters
Max levels to display: 1-10 (default: 10)
⚠️ CRITICAL UNDERSTANDING
• **Predictive System**: Forecasts tomorrow's levels (NOT real-time analyzer)
• **Static Levels**: Predictions don't update intraday (fixed for 24 hours)
• **Daily Regeneration MANDATORY**: Yesterday's forecasts expire at market open
• **0DTE Focus**: Designed for intraday scalping between predicted zones
• **Accuracy**: 79.7% for strength ≥2.0 levels
• **Only 23 tickers supported** (see list above)
• **Always use stop losses**—predictions can be wrong!
📚 EDUCATION
Zero Gamma = Where dealer gamma flips sign (stabilizing vs destabilizing hedging)
Max Pain = Strike with minimum option seller losses at expiration
Dark Pool = Institutional block trades (>$200K notional)
Strength Score = Multi-component 0-10 scale (options + dark pool + category + proximity)
🎓 BEST PRACTICES
✓ Focus on strength ≥2.0 for high-probability trades
✓ Give more weight to zones (clustered levels) than single lines
✓ Respect zero gamma—it defines market regime
✓ Check expiration calendar—max pain matters near expiry
✓ Use higher TF for bias (4h/1D), lower TF for entries (5m/15m)
⚡ WHAT MAKES THIS SPECIAL
Most indicators: React to historical price levels
This indicator: PREDICTS where institutions will position tomorrow
You're not guessing based on old swing highs/lows or reacting to current price.
You're trading with **advance knowledge** of forecasted institutional positioning:
• Predicted gamma walls (where dealers must hedge tomorrow)
• Forecasted dark pool accumulation zones (institutional positioning)
• Next-day zero gamma level (predicted volatility regime)
• Tomorrow's max pain magnet (options expiration gravity)
**Predictive edge = Front-run institutional positioning before it happens**
**Trade the forecast, not the past.**
📖 EXAMPLE TRADE (Using Predicted Levels)
**Evening Analysis (Yesterday After Close):**
System analyzed past NVDA data → Generated predictions for tomorrow
**Morning (Today Pre-Market):**
Loaded fresh Pine Script with predicted levels for NVDA trading session
**Predicted Levels for Today:**
• Predicted Support Zone: $197-198 (Strength 7.5) ← Forecast institutional positioning
• Predicted Zero Gamma: $182 ← Mean reversion regime forecast
• Predicted Max Pain: $205 ← Drift target (5 DTE)
• Predicted Resistance: $208 (Strength 6.0)
• Forecast Bias: BULLISH
**Trade Execution (During Market Hours):**
• NVDA opens at $200, drops to predicted support $198
• Bounce confirmed → Enter long at $198
• Target 1: $205 (predicted max pain) ✓ Hit
• Target 2: $208 (predicted resistance)
• Stop: $195 (below predicted support)
• R/R: 1:3.5
**Result:** Prediction was correct—price respected forecast levels (this happens 79.7% of the time.
**CRITICAL: Load fresh script daily or trade on stale/inaccurate forecasts**
🏆 WHY TRADERS LOVE THIS
"Finally predict where institutions will position—not just react!"
"79.7% accuracy gives me confidence in the forecasts"
"Zero gamma predictions changed my trading—know tomorrow's regime in advance"
"Having tomorrow's levels before market opens = massive edge"
"Zones are incredible—predicted institutional accumulation areas"
"0DTE trading is easier when you know the levels ahead of time"
"Strength scores show prediction confidence—not all forecasts are equal"
⚡ Predict Daily | 📊 23 Major Tickers | 🎯 79.7% Accuracy | 💎 0DTE Optimized | 🔮 Next-Day Forecasting
═══════════════════════════════════════════════════════════
Author: Kingdom Analytics | v3.0 Advanced | November 2025
Copyright © 2025 Kingdom Analytics. Educational Use Only.
Not Financial Advice. Trade at Your Own Risk.
═══════════════════════════════════════════════════════════
Blavk Terminal By Blavk Core Capitals- Open📘 Blavk Terminal
Multi-Indicator Trend & Momentum Detection System
Overview:
The Blavk Terminal indicator helps traders identify breakout and breakdown zones, market trend direction, and volatility conditions. It combines multiple well-known analytical concepts to generate reliable visual and alert-based trading signals.
🔍 Core Concepts
Trend Analysis: Uses layered moving averages (short to long-term) to identify price direction and trend strength.
Momentum Detection: Applies RSI-based logic to highlight potential breakout (bullish) and breakdown (bearish) areas.
Volatility Filter: Integrates ATR-based dynamic ranges to show stop-loss, target, and volatility status, helping traders manage positions more efficiently.
Volume Tracking: Displays both current candle volume and daily cumulative volume to assess participation strength.
⚙️ How to Use
On 15-minute charts, it can assist with swing trading and short-term momentum entries.
On daily, it helps with position or long-term holdings by confirming broader trend direction.
Traders can monitor green breakout/breakdown labels, confirm trend bias using moving averages, and use the displayed ATR levels for risk management.
💡 Conceptual Summary
Blavk Terminal integrates trend-following (moving averages), momentum confirmation (RSI), and volatility control (ATR) into a single tool.
This combination helps identify high-probability opportunities and supports decision-making across both short-term swing trades and long-term positional holds.
⚠️ Disclaimer
This indicator is for educational and analytical purposes only. It does not provide financial advice or guaranteed outcomes. Always backtest and apply risk management before live trading.
@blavkcorecapitals
Web3 Sector Monitor[SurgeGuru]📊 Crypto Sector Monitor — Multi-Sector Strength Dashboard
This script provides a visual and data-driven overview of the performance of major cryptocurrencies, grouped by sector — such as Infrastructure, DeFi, NFTs, and ENS — allowing traders to track which sectors are leading or lagging the market in real time.
🧠 Core Functionality
Sector-Based Grouping:
Coins are organized into distinct categories (Infrastructure, DeFi, NFT, ENS), making it easy to monitor capital flow between ecosystem themes.
Dynamic Performance Analysis:
Calculates percentage change of each coin relative to its value performance_length bars ago (default: 24h).
This gives an immediate view of short-term sector strength or weakness.
Relative Strength Mode:
Compares each asset’s performance against a reference symbol (e.g. BTC or ETH) to display outperformance or underperformance relative to the broader market.
Average Sector Strength:
Displays the average performance per sector, helping identify which category dominates momentum.
Multiple Plot Modes:
Choose between:
📈 Performance: Sector-based color plots showing % change over time.
💰 Price: Real-time price levels of selected coins.
⚖️ Relative Strength: Comparison vs benchmark coin.
🧩 Display & Customization
Compact Table Display:
All results are presented in a color-coded table for quick scanning. Colors correspond to sectors, and optional emojis provide intuitive visual cues.
Configurable Visibility:
Toggle specific categories (Infrastructure, DeFi, NFT, ENS) on/off individually.
Legend Table:
Automatically generated legend explains color mapping and sector composition for clarity.
Dense Mode Option:
Reduces spacing between rows for tighter, minimal layout when screen space is limited.
⚙️ Main Inputs
Performance Length: Lookback period for performance calculation.
Reference Symbol: Used for relative strength comparison.
Plot Mode: Switch between “Performance,” “Price,” and “Relative Strength.”
Dense Mode: Compact visual layout toggle.
📈 Usage
Ideal for crypto traders who want to track sector rotation and relative performance across key crypto ecosystems.
Helps quickly identify which sectors are gaining momentum, potentially signaling where liquidity is flowing next.
🧭 How to Read the Crypto Sector Monitor
The indicator displays a multi-sector dashboard that tracks the short-term performance and relative behavior of key crypto assets.
Each coin is color-coded by sector and shown in a table or chart-style layout depending on the selected mode.
🔹 1. Performance Mode ("Perf")
What it shows:
Each coin’s percentage change over the last X bars (default = 24 hours).
The table displays positive values in greenish tones (strong performance) and negatives in reddish tones (weak performance).
How to read:
Higher positive values → coin is gaining strength vs its past 24h value.
Lower or negative values → coin is losing strength or being sold off.
The sector average row gives an instant snapshot of which group (e.g., Infrastructure, DeFi, NFT) is leading or lagging.
Use case:
Great for detecting sector rotation — when money flows from one theme to another.
Example: If Infrastructure average = +3.5% while DeFi = −1.2%, traders are rotating toward infrastructure assets.
🔹 2. Price Mode ("Price")
What it shows:
The current live price of each tracked coin, updating per bar.
This mode is meant for quick absolute value comparison, not relative changes.
How to read:
Watch how price levels evolve alongside performance.
Combined with the legend, you can see at a glance which assets are higher-value vs low-cap within the same sector.
Use case:
Helpful if you want to anchor context (actual price) while scanning sector behavior.
🔹 3. Relative Strength Mode ("RS")
What it shows:
Each coin’s relative performance vs a chosen benchmark (usually BTC or ETH).
It measures how much the coin outperformed or underperformed compared to the reference symbol.
How to read:
Positive RS → coin is stronger than BTC over the lookback period.
Negative RS → coin is weaker than BTC.
Sector averages reveal whether an entire category is outperforming or lagging the benchmark.
Use case:
Ideal for rotation traders looking for coins that consistently outperform BTC or ETH, indicating alpha potential.
🧩 General Visual Cues
Colors = Sector identity
Each category (Infrastructure, DeFi, NFT, ENS) has its own color palette, reflected across both table and legend.
Legend Table
Appears in the corner with symbols and colors for quick sector identification.
🧠 TL;DR for Traders
Mode - Meaning - What to Look For
Perf % change vs past X bars Strong/weak performers & sector averages
Price Current live price Quick price reference by sector
RS Relative to BTC/ETH Outperformers & underperformers vs benchmark
Rolling VWAP Indicator🧭 Rolling VWAP Indicator
Overview
The Rolling VWAP Signals indicator offers a clean, real-time view of price behavior relative to its volume-weighted fair value.
It extends the traditional VWAP concept by introducing a Rolling VWAP that continuously adapts over a dynamic window of recent bars, allowing traders to visualize evolving equilibrium zones without being limited to daily or session resets.
Additionally, it includes a Multi-Timeframe (MTF) Trend Bias Filter — designed not to recalculate VWAP across timeframes, but to confirm directional alignment with higher-timeframe momentum. This ensures that short-term signals are traded only when the broader bias agrees, reducing false reversals and improving signal quality.
VWAP vs Rolling VWAP
The Volume-Weighted Average Price (VWAP) is one of the most widely used institutional benchmarks.
It represents the average traded price weighted by volume — effectively the market’s “fair value.”
However, standard VWAP resets each day or session, losing continuity across time and ignoring cumulative order flow beyond that session.
The Rolling VWAP used here continuously recalculates over a moving window of the most recent bars:
• It adapts naturally to 24×7 markets such as crypto and indices.
• It reflects the current consensus of price and volume rather than starting from zero each morning.
• It acts as a dynamic fair-value magnet, showing when price deviates too far from equilibrium.
In short:
• Standard VWAP → resets daily, suited for intraday benchmarks.
• Rolling VWAP → continuous measure of short-term market balance and sentiment.
How It Works
1. Rolling VWAP Calculation
Uses the last N bars (auto-adjusted by timeframe: e.g., 288 for 5-min, 96 for 15-min, 24 for 1-hour) to compute the continuously weighted mean price:
RVWAP = \frac{\sum(Price \times Volume)}{\sum(Volume)}
2. VWAP Bands
Three deviation envelopes are plotted above and below RVWAP at user-defined percentages — visual zones of overbought/oversold or expansion/compression.
3. Signal Logic
• Buy Signal: price closes above the Rolling VWAP after being below (bullish reclaim).
• Sell Signal: price closes below the Rolling VWAP after being above (bearish rejection).
• Cooldown Period: blocks repeated signals within a set bar interval to avoid whipsaws.
4. MTF Trend Bias
• Pulls higher-timeframe trend direction (e.g., from 1-hour while trading 5-min).
• Signals are confirmed only when short-term cross aligns with higher-timeframe bias.
• This filter does not modify or recalculate the VWAP — it purely acts as a directional validator.
5. Session Filter
Restrict signal generation to defined trading hours and timezone (e.g., 09:30–13:00 NY). Its for US market positional traders.
6. Dashboard Panel
Displays system states: data sufficiency, session activity, VWAP bias, cooldown status, and Buy/Sell signal triggers.
Why It’s Useful
• Provides a real-time adaptive fair-value anchor instead of static daily VWAP.
• Highlights both trend continuation and mean-reversion zones.
• Integrates MTF bias confirmation to trade only in line with higher-timeframe flow.
• Eliminates clutter — no oscillators or complex models, just price vs volume behavior.
How to Use
1. Apply on any timeframe (5M–4H).
2. Observe Buy (green) and Sell (red) signals relative to the blue Rolling VWAP line.
3. Enable MTF Trend Bias to confirm signals with higher-timeframe direction.
4. Use deviation bands for identifying overextended conditions or pullback opportunities.
5. Monitor the dashboard for live system feedback.
Customization
• Auto or manual Rolling VWAP window.
• Adjustable band multipliers.
• MTF bias confirmation toggle.
• Session and timezone settings.
• Dashboard size and placement.
Conceptual Takeaway
The Rolling VWAP Simple Signals indicator combines the strength of volume-weighted mean reversion with higher-timeframe directional filtering, producing clear, context-aware entries and exits.
It answers two critical trader questions:
“Where is the real, volume-based fair value right now?”
“Does my signal align with the larger trend?”
⚠️ Disclaimer
This indicator is designed s olely for educational and analytical purposes . It does not constitute financial advice, investment recommendation, or trading signal service. Trading involves substantial risk and may not be suitable for all investors. Always perform your own analysis and use proper risk management before taking any trade. The author assumes no liability for financial losses resulting from the use or interpretation of this tool.
Ultimate Multi-Pivot Indicator V3.0 By Sirajthis is my own indicator All In One
please Use this pivots 1H and 4H
Economic Macro Dashboard (DeadCat)This indicator provides a compact, data-driven view of key U.S. macroeconomic conditions and market sentiment — directly on your TradingView chart.
The dashboard aggregates several fundamental datasets from TradingView’s built-in *economic data feeds* (such as CPI, GDP growth, Fed Funds Rate, NFP, and Unemployment), along with major market benchmarks (VIX, DXY, Gold, and 2-Year Treasury Yield). It tracks the latest value and change from the previous update to evaluate short-term macro trends.
Each group of indicators contributes to four composite scores:
Growth: Based on changes in GDP and Retail Sales.
Inflation: Tracks CPI and Core PCE directionality.
Employment: Evaluates NFP and Unemployment Rate dynamics.
Interest Rates: Interprets movement in the Federal Funds Rate.
These metrics are converted into normalized 0–100 “condition scores,” color-coded as *Rising, Neutral,* or *Declining* for easier interpretation.
The script then summarizes the overall macro tone (growth, inflation, employment, rates) in a structured table that updates automatically.
On the market side, it uses moving average relationships (EMA crossovers on VIX, DXY, and Gold, plus SMA trend on 2-Year Treasury yields) to infer short-term momentum in risk sentiment, the dollar, and safe-haven assets. This helps traders contextualize market positioning relative to macro developments.
Core concept:
The script acts as a **real-time economic sentiment dashboard**, bridging fundamental data and technical market conditions in one view. It’s designed for traders who want to visually monitor macro shifts without leaving their charts — useful for both short-term market bias and long-term context.
How to use:
Apply the indicator to any chart or timeframe.
Use the table position and size inputs to arrange it on your layout.
Watch for consistent trends:
-Rising growth + strong employment → supportive macro tone.
-Rising inflation + hawkish rates → tightening bias.
-DXY/VIX trends can confirm or contradict the macro tone.
Note:
No future data is used. All economic series are fetched via TradingView’s `request.economic()` and market benchmarks via `request.security()` in daily resolution.
This tool is for visualization and analysis only — not a buy/sell signal generator.






















