Super AsymmetrySuper Asymmetry (Inspired by Bull Alpha) - High Risk-Reward Trading System
A precision trading indicator designed to capture asymmetric profit opportunities with minimal risk exposure. This system prioritizes quality over quantity, targeting 1:5+ risk-reward ratios while accepting a lower win rate (~20%).
Key Features:
Automated breakeven protection at 1:5 RR
Dynamic stop-loss placement minimizing initial risk
CCI-based re-entry logic for stopped-out positions
Multi-timeframe trend alignment (4H/Daily)
Adaptive Kalman filtering with volatility-based smoothing
Trading Philosophy:
Super Asymmetry employs a "lose small, win big" approach. With typical win rates around 20%, this system requires strict position sizing discipline. Use fixed-risk strategy: allocate the same dollar amount per trade regardless of risk percentage. Lower risk signals automatically receive larger position sizes, while higher risk signals get smaller positions.
Risk Management:
Initial risk typically 0.5-1% per signal
Auto-moves to breakeven after 5x profit
Trailing exit only after target achievement
Maximum 2 re-entries per zone
This is a patience-based system designed for traders comfortable with multiple small losses in exchange for occasional large wins that drive overall profitability.
Forecasting
Ultra High Volume Candles with Lines📊 Ultra High Volume (UHV) – Smart Money Alert 🚨
🔎 What is Ultra High Volume?
Ultra High Volume happens when a candle’s trading volume is much higher than the average volume of the last few bars.
👉 Example: If the average volume is 100k and suddenly a candle shows 300k → that’s Ultra High Volume.
It means big players (institutions, banks, funds) are active in that candle.
This is important because price moves strongly when big money participates.
🟥 Ultra High Volume Red Candle
When UHV appears on a red (bearish) candle:
🚩 It shows strong selling pressure.
📉 Can be a distribution phase (smart money unloading positions).
🛑 Often appears at resistance zones → possible trend reversal.
🎯 Sometimes it’s a stop-loss hunt before a reversal (fake push down).
🟦 Ultra High Volume Blue/Green Candle
When UHV appears on a blue/green (bullish) candle:
🚀 It shows strong buying pressure.
📈 Can be accumulation (smart money loading positions).
💥 Appears at breakout levels → signals continuation of the trend.
🛡️ Absorbs sellers before a big upward move.
⚖️ Why UHV is Important
UHV shows where smart money is active.
It tells us the market is at a decision point.
BUT ⚠️ → UHV doesn’t guarantee direction.
Always combine with:
✅ Market structure (higher highs, higher lows, CHoCH, BOS)
✅ Support & Resistance
✅ Order blocks and liquidity zones
📌 Example of Reading UHV
🔺 UHV at support → possible bounce (accumulation).
🔻 UHV at resistance → possible rejection (distribution).
💥 UHV during a breakout → confirms continuation.
❓ UHV in the middle of nowhere → usually a trap → avoid trading blindly.
💡 Key Takeaway
Volume = Fuel. Price moves with volume.
Ultra High Volume = Institutional footprint.
When you see it:
Don’t ignore 🚨
Look at the context (trend, structure, key zones)
Trade in sync with the big players
✨ UHV is not just a candle – it’s the market shouting at you: "Pay Attention!"
SETTINGS : Better result 4x volume candles
Weekly GridWeekly Grid Indicator
What It Does
Weekly Grid tracks Sunday 4:00 PM to Monday 4:00 PM (UTC-7) price ranges and plots high/low horizontal lines with vertical period markers. Helps identify weekly support/resistance levels.
Key Features
Period: Sun 4PM - Mon 4PM (UTC-7)
Lines: 2px thick high/low levels with price labels
Verticals: Green lines marking period boundaries
Alerts: Price breaks above high/below low
Lookback: Adjustable historical periods (default 1000 bars)
Trading Applications
Breakouts: Trade breaks of weekly high/low
Range: Fade approaches to extreme levels
Support/Resistance: Use as key weekly pivots
Alerts: Get notified of level breaks
Best For
Day traders seeking weekly structure
Swing traders using weekly pivots
Anyone wanting Sunday-Monday momentum levels
Simple weekly levels. Clear trading signals.
Copy the Pine Script code, add to TradingView, and start trading the levels.
GT PancakeSwap Fair Value Model v1This is not financial advice...is just for educational purposes.
This indicator estimate the Fair Value Price of PancakeSwap token CAKE utilizing different proprietary formulas that i develop, it consider a fair value when the price is within +10% to -10% of target price.
You can apply this indicator to any CAKE/"Stable Pair" in daily timeframe or lower for more precise results.
Hope it helps you and If you have any feedback, please leave in the comments section, thanks.
Super SignalWhen all lines are below the 20 line its a super signal to buy. When all trends are above the 80 line it is a super signal to sell.
Smart Trade LevelsAuto Entry/SL/TP + Relative Levels + Dashboard + Meter
This indicator combines several trading tools into a single framework for market analysis and trade management.
🔹 Features
Automatic Entry/Stop-Loss/Take-Profit zones
• Entry is set on new LONG/SHORT signals.
• Stop-Loss is based on local pivots or percentage distance.
• Take-Profit targets are calculated with Fibonacci extensions (TP1, TP2, TP3).
Relative Support/Resistance Levels
• Dynamic levels based on a 50-period SMA as the base.
• Optional auto-hide function to display only nearby levels.
• Short RU labels (e.g. “Поддержка”, “Сопротивление”) without numeric values.
Trend & Signal Detection
• RSI, MACD, and SMA50 trend filter.
• Breakout detection with higher-timeframe (HTF) confirmation.
• Divergence alerts (bullish/bearish).
Meter & Score Dashboard
• Multi-factor score (volume, ATR, ADX, breakouts, trend alignment).
• Probability estimates for LONG vs SHORT (percentages).
• HTF filters (EMA50, RSI, MACD histogram).
• Color-coded signals and a compact on-chart dashboard.
Visualization
• Boxes for Entry, SL, TP1–TP3.
• Relative level lines with dotted style.
• Prep signals (Buy/Sell labels) when price crosses relative levels.
• Optional MA50 plot for trend context.
⚙️ Inputs
Fibonacci multipliers for TP (0.618, 1.0, 1.618 by default).
Volume SMA length and neutral band.
Auto-hide relative levels (with adjustable % window).
Meter settings: breakout lookback, relative volume, ATR %, ADX threshold, EMA gap filter.
Show/hide dashboard elements, MA50 line, and level labels.
✅ Use cases
Identify trend direction and potential reversals.
Manage risk/reward with automatic zones.
Confirm setups with HTF filters and probability scoring.
Visualize dynamic support/resistance areas.
⚠️ Disclaimer: This script is for educational purposes only and does not constitute financial advice. Always backtest and validate before applying to live trading.
Entry/Stop/Take — TP: R or Nearest Level + Offset + Prep LinesTitle:
Entry/Stop/Take — TP by R-multiple or Nearest Level
Description:
This indicator plots Entry, Stop-Loss and Take-Profit levels after a signal.
How it works:
• Signal example: breakout of a lookback range filtered by EMA200 (you can replace it).
• Stop-Loss = ATR × SL Multiplier.
• Take-Profit modes:
– R-multiple: TP = Entry ± (ATR × SL Mult × TP Mult).
– Nearest level: closest swing resistance (long) or support (short), with configurable offset to exit before the level.
• Lines start at the signal bar and extend until SL or TP is hit.
• Optional right-edge labels and a mini table with values.
Inputs: ATR Length, SL Mult, TP Mult, Lookback (breakout), TP Mode (R-multiple / Nearest level), pivot settings and search window, level offset (%), toggles for labels/table.
Notes:
• No advertisements or external links.
• This script is for educational purposes only and does not constitute financial advice. Backtest and adjust parameters before using in live markets.
EyeOn VolatilityEyeOn Volatility tracks how market volatility affects trading spreads. It adapts dynamically using recent price fluctuations and shows symmetric bid/ask bands around the chart. A live info box displays the current spread in percent, and an optional panel lets you review spread history over time.
Fed Funds Rate-of-ChangeFed Funds Rate-of-Change
What it does:
This indicator pulls the Effective Federal Funds Rate (FRED:FEDFUNDS, monthly) and measures how quickly it’s changing over a user-defined lookback. It offers stabilized change metrics that avoid the “near-zero blow-up” you see with naive % ROC. The plot turns red only when the signal is below the lower threshold and heading down (i.e., value < –threshold and slope < 0).
This indicator is meant to be useful in monitoring fast cuts on the part of the FED - a signal that has preceded recession or market pullbacks in times prior.
Change modes: Percentage, log and delta.
Percent ROC (ε floor): 100 * (now - prev) / max(prev, ε)
Log change (ε): 100 * (ln(now + ε) - ln(prev + ε))
Delta (bps): (now - prev) * 100 (basis points; avoids percentage math)
Tip: For “least drama,” use Delta (bps). For relative change without explosions near zero, use Log change (ε).
Key inputs:
Lookback (months): ROC window in calendar months (because source is monthly).
Change Metric: one of the three options above.
ε (percentage points): small constant (e.g., 0.25 pp) used by Percent ROC (ε) and Log change (ε) to stabilize near-zero values.
EMA Smoothing length: light smoothing of the computed series.
Clip |value| at: optional hard cap to tame outliers (0 = off).
Threshold % / Threshold bps: lower/upper threshold band; unit adapts to the selected metric.
Plot as histogram: optional histogram view.
Coloring / signal logic
Red: value is below the lower threshold (–threshold) and the series is falling on the current bar.
How to use:
Add to any chart (timeframe doesn’t matter; data is monthly under the hood).
Pick a Change Metric and set Lookback (e.g., 3–6 months).
Choose a reasonable threshold:
Percent/Log: try 10–20%
Delta (bps): try 50–100 bps
Optionally smooth (EMA 3–6) and/or clip extreme spikes.
Interpretation
Sustained red often marks periods of accelerating downside in the Fed Funds change metric (e.g., policy easing momentum when using bps).
Neutral (gray) provides context without implying direction bias.
Notes & limitations
Source is monthly FRED series; values update on monthly closes and are stable (no intrabar repainting of the monthly series).
Threshold units switch automatically with the metric (%, %, or bps).
Smoothing/clip are convenience tools; adjust conservatively to avoid masking important shifts.
Mongoose Global Conflict Risk Index v1Overview
The Mongoose Global Conflict Risk Index v1 is a multi-asset composite indicator designed to track the early pricing of geopolitical stress and potential conflict risk across global markets. By combining signals from safe havens, volatility indices, energy markets, and emerging market equities, the index provides a normalized 0–10 score with clear bias classifications (Neutral, Caution, Elevated, High, Shock).
This tool is not predictive of headlines but captures when markets are clustering around conflict-sensitive assets before events are widely recognized.
Methodology
The indicator calculates rolling rate-of-change z-scores for eight conflict-sensitive assets:
Gold (XAUUSD) – classic safe haven
US Dollar Index (DXY) – global reserve currency flows
VIX (Equity Volatility) – S&P 500 implied volatility
OVX (Crude Oil Volatility Index) – energy stress gauge
Crude Oil (CL1!) – WTI front contract
Natural Gas (NG1!) – energy security proxy, especially Europe
EEM (Emerging Markets ETF) – global risk capital flight
FXI (China ETF) – Asia/China proxy risk
Rules:
Safe havens and vol indices trigger when z-score > threshold.
Energy triggers when z-score > threshold.
Risk assets trigger when z-score < –threshold.
Each trigger is assigned a weight, summed, normalized, and scaled 0–10.
Bias classification:
0–2: Neutral
2–4: Caution
4–6: Elevated
6–8: High
8–10: Conflict Risk-On
How to Use
Timeframes:
Daily (1D) for strategic signals and early warnings.
4H for event shocks (missiles, sanctions, sudden escalations).
Weekly (1W) for sustained trends and macro build-ups.
What to Look For:
A single trigger (for example, Gold ON) may be noise.
A cluster of 2–3 triggers across Gold, USD, VIX, and Energy often marks early stress pricing.
Elevated readings (>4) = caution; High (>6) = rotation into havens; Shock (>8) = market conviction of conflict risk.
Practical Application:
Monitor as a heatmap of global stress.
Combine with fundamental or headline tracking.
Use alert conditions at ≥4, ≥6, ≥8 for systematic monitoring.
Notes
This indicator is for informational and educational purposes only.
It is not financial advice and should be used in conjunction with other analysis methods.
Buy and Sell Signals (Altius Consulting)Generates Buy and Sell signals based on MACD and RSI.
- Plots MACD, Signal & Histogram (optional pane).
- Buy Label (toggle): Bullish MACD crossover + RSI < threshold (no convergence requirement).
- Sell Label: Bearish MACD crossover (MACD crosses below Signal) prints a SELL tag.
- Alert: Provided for convergence-based buy condition (add your own for simple crossover if desired).
Alert: 10m FU at Top of HourWhen an FU happens on the hour, it will typically give a good indication of direction
Pair this with negation and HCS
Stock Valuation Models - Professional Investment Analysis Tool📊 Overview
Stock Valuation Models is a comprehensive financial analysis indicator that combines multiple valuation methodologies to calculate intrinsic stock value. This professional-grade tool implements 7 different valuation methods , risk assessment framework, and financial health metrics to provide data-driven investment decisions.
🎯 Key Features
📈 Multiple Valuation Methods
Graham's Valuation - Conservative asset-based approach by Benjamin Graham
Multiples Valuation - Market-based P/E and P/B ratios from sector peers
Discounted Cash Flow (DCF) - Future cash flow projections with present value calculation
Dividend Discount Model - Gordon Growth Model for dividend-paying stocks
FCFF Model - Enterprise-level Free Cash Flow to Firm analysis
EVA Model - Economic Value Added measurement above cost of capital
Advanced Multiples - Enterprise Value ratios (EV/EBITDA, EV/Sales)
🏥 Financial Health Metrics
Altman Z-Score - Bankruptcy prediction and financial distress assessment
Piotroski F-Score - 9-point fundamental strength evaluation
Beneish M-Score - Earnings manipulation detection system
Magic Formula - Joel Greenblatt's combined quality and value scoring
⚖️ Risk Assessment Framework
Multi-Factor Risk Scoring - Fundamental, market, quality, and data quality risks
Risk-Adjusted Margin of Safety - Dynamic safety thresholds based on risk level
Position Sizing Guidance - Risk-appropriate investment allocation recommendations
🔍 Data Quality System
Real-Time Quality Tracking - Visual warnings for insufficient data
Fallback Methodology - Alternative calculations when primary data unavailable
Confidence Scoring - Method agreement and data quality assessment
⚙️ Settings & Parameters
Main Settings
Margin of Safety (%) - Minimum discount required before buying (Default: 15%)
Table Font Size - Choose between "Small" and "Normal" text size
Valuation Methods
Graham's Valuation - Best for mature, stable companies with strong fundamentals
Multiples Valuation - Compares to industry peers using dynamic sector ratios
Discounted Cash Flow - Ideal for growth companies with predictable cash flows
Dividend Discount Model - For consistent dividend-paying stocks (disabled by default)
FCFF Model - Enterprise approach for leveraged companies and M&A analysis
EVA Model - Measures value creation above cost of capital
Advanced Multiples - Wall Street standard EV ratios for professional analysis
Additional Metrics
Magic Formula - Combined quality and value scoring system
Altman Z-Score - Bankruptcy risk assessment (Safe >2.99, Distress <1.81)
Piotroski F-Score - Fundamental quality score (Excellent ≥8, Poor <4)
Beneish M-Score - Manipulation detector (High Risk >-2.22, Low Risk ≤-2.22)
🔧 How It Works
Dynamic Calculations
Sector-Based Ratios - Automatically detects company sector and applies appropriate valuation multiples
Economic Integration - Uses real-time risk-free rates, VIX volatility, and GDP growth data
Quality Weighting - Adjusts method weights based on company type (growth/mature/distressed) and market conditions
Negative Value Handling - Shows actual calculated values but excludes negative results from weighted average
Risk-Adjusted Analysis
VIX Integration - Higher market volatility increases required margin of safety
Sector Risk Premiums - Energy and Financial sectors get higher risk multipliers
Quality Adjustments - High Piotroski F-Score companies get lower risk ratings
Data Quality Impact - Insufficient data increases risk score and safety requirements
Visual Display
Horizontal Table Layout - Organized by method groups (Valuation → Results → Risk → Health)
Color-Coded Results - Green/Yellow/Red indicators for risk levels and recommendations
Warning Symbols - ⚠️ for data quality issues, ❌ for excluded negative values
Dollar Amounts - Both percentage and dollar-based margin of safety calculations
📈 Interpretation Guide
💎 Intrinsic Value Results
Weighted Average - Combines all enabled methods based on intelligent weighting
Confidence Level - High/Medium/Low based on method agreement and data quality
Method Count - Number of successful valuation calculations
🎯 Margin of Safety
Percentage - Current discount/premium to calculated intrinsic value
Dollar Amount - Absolute dollar difference per share
Buy Price - Risk-adjusted target purchase price
⚖️ Risk Assessment
Low Risk (Green) - Normal position sizing (3-5%)
Medium Risk (Yellow) - Reduced position sizing (1-3%)
High Risk (Red) - Minimal position sizing (<1%)
📊 Recommendations
STRONG BUY - Low risk + adequate margin + high confidence
BUY - Meets risk-adjusted margin requirements
HOLD - Positive margin but higher risk
SELL - Insufficient margin for risk level
🎓 Educational Tooltips
Every parameter includes detailed explanations accessible by hovering over the setting. Learn about:
When to use each valuation method
How different metrics are calculated
Interpretation thresholds and ratings
Risk factors and quality indicators
💡 Best Practices
🚀 For Growth Stocks
Enable DCF and Advanced Multiples
Focus on Piotroski F-Score for quality assessment
Use higher margin of safety due to volatility
💰 For Value Stocks
Enable Graham's and Multiples Valuation
Check Altman Z-Score for financial stability
Consider Magic Formula rating
📈 For Dividend Stocks
Enable Dividend Discount Model
Focus on sustainable dividend coverage
Check for consistent dividend history
⚠️ For Distressed Situations
Prioritize Graham's asset-based approach
Monitor Altman Z-Score closely
Use higher risk-adjusted margins
⚠️ Important Notes & Data Limitations
📅 Data Timing Considerations
Fundamental Data Lag - Company financial data (earnings, cash flows, balance sheet items) may be 1-3 months behind current market conditions
Quarterly Reporting Delays - Most recent available data reflects the company's situation as of the last filed quarterly/annual report
Market vs. Fundamentals Gap - Stock prices react instantly to news, while fundamental data updates occur periodically
Accuracy Impact - Recent business changes, market events, or company developments may not be reflected in current calculations
🔧 Technical Limitations
Data Dependencies - Requires fundamental data availability from TradingView
Quality Warnings - Pay attention to ⚠️ symbols indicating insufficient data
Risk Context - Always consider risk score in investment decisions
Market Conditions - Tool automatically adjusts for market volatility (VIX)
Sector Specificity - Ratios automatically adjust based on company's sector
💡 Best Practice Recommendations
Supplement with Current Analysis - Always combine with recent news, earnings calls, and management guidance
Monitor Data Quality - Check when the underlying financial data was last updated
Consider Market Context - Factor in recent market events that may affect company performance
Use as Starting Point - Treat calculations as baseline analysis requiring additional research
🔗 Methodology
Based on established academic research and professional practices:
Benjamin Graham - Security Analysis principles
Joel Greenblatt - Magic Formula methodology
Edward Altman - Z-Score bankruptcy prediction
Joseph Piotroski - Fundamental analysis scoring
Messod Beneish - Earnings manipulation detection
Modern Portfolio Theory - Risk-adjusted decision making
This indicator is designed for educational and analytical purposes. Always conduct additional research and consider consulting with financial professionals before making investment decisions.
Candle Range Theory (CRT) +Candle Range Theory (CRT)+
Summary
Purpose: Projects a Higher Timeframe (HTF) candle’s range onto your current chart and adds a compact multi-timeframe confluence table to judge premium/discount, trend vs pullback, and alignment.
What it draws:
HTF Range: Active HTF High, Low, and the 50% Equilibrium (EQ) line. Range updates while the HTF bar is building and resets when a new HTF bar starts.
Confluence Table (optional): Up to 5 rows, each pairing a configurable HTF and LTF. Background tint shows premium/discount relative to that row’s HTF EQ. The row label reports directional state (bullish/bearish and pullback/continuation) using simple bar-close momentum checks and a configurable lookback.
How the Confluence Table works
Rows: Up to five independent HTF/LTF pairs (each row can be toggled on/off and configured).
Location: Price vs that row’s HTF EQ
Above EQ = Premium (maroon tint by default)
Below EQ = Discount (green tint by default)
Direction/State: A bar-close momentum read combined with HTF location to label:
Bullish continuation / Bearish continuation
Bullish pullback (upward momentum in discount) / Bearish pullback (downward momentum in premium)
Lookback control:
Uniform Lookback ON: HTF and LTF both use a 1-bar lookback (more responsive).
Uniform Lookback OFF: HTF uses a slightly longer lookback on higher frames for stability; LTF remains 1-bar for responsiveness.
Disclaimer:
This script is for educational and informational purposes only and does not constitute financial advice, investment advice, or trading recommendations. Trading involves substantial risk; you can lose some or all of your capital. Past performance or examples are not indicative of future results. The author provides no warranties regarding accuracy, completeness, or fitness for any purpose and disclaims liability for any losses arising from the use of this tool. Always use your own judgment, confirm on bar close, and consider multiple factors (e.g., volatility, liquidity, news) before taking any action. You are solely responsible for your trading decisions.
Navigator Range Pro+Title Navigator Range Pro+
What it is Navigator Range Pro+ is a confluence-first indicator that blends multi-timeframe (MTF) trend bias with a Dealing Range (DR) framework. It helps you quickly see when higher timeframes align and pairs that bias with clean breakout triggers from a current range. Designed to reduce noise and keep charts readable.
What you’ll see
Dealing Range: Auto-detected range top/bottom with a midline. Choose Stuck (pivot-based, fixed) or Dynamic (rolling highest/lowest) modes.
MTF Bias: Higher timeframe trend bias derived from a selectable moving average (SMA/EMA).
Compact Info Panel (table): A configurable on-chart panel that summarizes each higher timeframe’s bias, optional lower-timeframe analog labels, and a confluence tally. You can position it, resize text, and set columns/rows to fit your layout.
Clean Charting: Flip labels are optional and default to off, so alerts can fire without covering price action.
How it works
Bias engine: Computes bullish/bearish bias for each selected higher timeframe using your chosen MA length/type, then aggregates them into a confluence count.
DR engine: Finds or follows the current trading range and calculates a midline reference for signals or context.
Signals: You can use pure confluence, pure DR breakouts, or a combined “Bias + DR” confirmation for higher-quality entries.
Inputs to know
HTF Ranges (comma separated): Higher timeframes to assess (e.g., W,D,240,60,15).
MA Length/Type: Controls the bias engine’s sensitivity.
DR Mode: Stuck (pivot-based, fixed until a new pivot confirms) or Dynamic (rolling high/low by lookback).
Swing Length / Dynamic Lookback / Extend Right: Shape how the range is found and displayed.
Panel Position / Text Size / Panel Columns / Panel Rows: Customize the on-chart table.
Alerts: Min HTFs to align and Strict alignment (no opposite) to refine confluence.
Show Flip Labels on Chart: Optional visual flip labels; alerts are unaffected if kept off.
Alert conditions
Multi-TF Confluence Bullish: Minimum number of HTFs are bullish (optionally strict).
Multi-TF Confluence Bearish: Minimum number of HTFs are bearish (optionally strict).
DR Breakout Up: Close crosses above DR top.
DR Breakout Down: Close crosses below DR bottom.
Bias + DR Combo Bullish: Bullish confluence and price above your DR threshold (Midline or Top/Bottom).
Bias + DR Combo Bearish: Bearish confluence and price below your DR threshold (Midline or Top/Bottom).
Tips
For live trading, “Once per bar close” alerts are the safest and most consistent.
Increase the Min HTFs to align to reduce noise; switch Combo Threshold to Top/Bottom for fewer, stronger momentum entries.
Keep flip labels off to maintain a clean chart (alerts still fire).
Disclaimer This script is for educational and informational purposes only and does not constitute financial, investment, or trading advice. Trading involves risk, including the risk of loss. You are solely responsible for your own trading decisions. Past performance does not guarantee future results. Always test on a demo and consult a licensed professional where appropriate.
Vertical Lines @ Hour & :45vertical lines at hour and 45 past each hour
when manipulation is most likely to happen
Otekura Range Trade Algorithm [Tradebuddies]The Range Trade Algorithm calculates the levels for Monday.
On the chart you will see that the Monday levels will be marked as 1 0 -1.
The M High level calculates Monday's high close and plots it on the screen.
M Low calculates the low close of Monday and plots it on the screen.
The coloured lines on the screen are the points of the range levels formulated with fibonacci values.
The indicator has its own Value table. The prices of the levels are written.
Potential Range breakout targets tell prices at points matching the fibonacci values. These are Take profit or reversal points.
Buy and Sell indicators are determined by the range breakout.
Users can set an alarm on the indicator and receive direct notification with their targets when a new range occurs.
Fib values are multiplied by range values and create an average target according to the price situation. These values represent an area. Breakdown targets show that the target is targeted until the area.
MTF Levels [OmegaTools]📖 Introduction
The Ω Levels Indicator is a complete market structure and level-mapping framework designed to help traders identify key zones where price is likely to react.
It blends classic technical anchors (VWAP, pivots, means, standard deviations) with modern statistical pattern recognition to dynamically project areas of manipulation, extension, and equilibrium.
At its core, Ω Levels creates an evolving map of market balance vs. imbalance, showing traders where liquidity is most likely to build and where price could pivot or accelerate.
But what makes it truly unique is the Pivot Forecaster — an embedded predictive engine that applies machine-learning inspired logic to recognize conditions that historically precede market turning points.
🔎 Key Features
Customizable Levels Framework
Define up to three levels (manipulation, extensions, VWAP, pivots, stdev bands, or prior extremes).
Choose mean references such as Open, VWAP, Pivot Mean, or Previous Session Mean.
Style controls (solid, dotted, dashed) and fill modes (internal, external, ranges) allow you to adapt the chart to your visual workflow.
Dynamic Zone Highlighting
Automatic fills between internal/external levels, or between specific level pairs (1–2, 1–3, 2–3).
Makes it easy to visualize value areas, expansions, and compression zones at a glance.
Multi-Timeframe Anchoring
Works on any timeframe, but calculations can be anchored to a higher timeframe (e.g., show daily VWAP & pivots on a 15m chart).
This allows traders to align intraday execution with higher timeframe context.
Pivot Forecaster (Machine Learning / Pattern Recognition)
This is the advanced predictive component.
The algorithm collects historical conditions observed around pivot highs and lows (volume state, ATR state, % candle expansion, oscillator conditions).
It then builds statistical “profiles” of typical pivot behavior and compares them in real-time against current market conditions.
When conditions match the “signature” of a pivot, the indicator highlights a Forecast Pivot High or Forecast Pivot Low (displayed as small diamond markers).
This functions as a pattern-recognition system, effectively learning from past pivots to anticipate where the next turning point is more likely to occur.
⚡ How Traders Can Use It
Intraday Execution: Use VWAP, manipulation, and extension levels to frame trades around liquidity zones.
Swing Context: Overlay higher timeframe pivots and means to guide medium-term positioning.
Fade Setups: Forecasted pivots often coincide with exhaustion zones where fading momentum carries edge.
Breakout Validation: When price breaks a structural level but the forecaster does not confirm a pivot, continuation probability is higher.
Risk Management: Levels provide natural stop/target placements, while pivot forecasts serve as warning signals for potential reversals.
⚙️ Settings Overview
Timeframe: Choose the anchor timeframe for calculations (default: Daily).
Means: Two selectable mean references (Open, VWAP, Pivot Point, Previous Mean).
Levels: Three levels can be customized (Manipulation, Extension, 1–2 StDev, Pivot Point, VWAP, Previous Extremes).
Fill Modes: Highlight zones between internal/external levels or custom ranges.
Visual Customization: Colors, line styles, fill opacity, and toggle for old levels.
Pivot Forecaster: Fully automated — no settings required, it adapts to instrument and timeframe.
🧭 Best Practices
Align Levels With Market Profile: Treat the levels as dynamic S/R zones and watch how price interacts with them.
Use Forecaster as Confirmation: The diamonds are not standalone signals; they are context filters that help you decide whether a move has higher reversal odds.
Higher Timeframe Anchoring: On intraday charts, set the timeframe to Daily or Weekly to trade with institutional levels.
Combine With ATR: Pair with the Ω ATR Indicator to size positions according to volatility while Ω Levels provides the structural roadmap.
📌 Summary
The Ω Levels Indicator is more than a level plotter — it’s a market map + predictive engine.
By combining traditional levels with an intelligent pivot forecaster, it gives traders both the static structure of where price should react, and the dynamic signal of where it is likely to react next.
This dual-layer approach — structural + predictive — makes it an invaluable tool for discretionary intraday traders, swing traders, and anyone who wants to anticipate price behavior instead of just reacting to it.
Implied Volatility RangeThe Implied Volatility Range is a forward-looking tool that transforms option market data into probability ranges for future prices. Based on the lognormal distribution of asset prices assumed in modern option pricing models, it converts the implied volatility curve into a volatility cone with dynamic labels that show the market’s expectations for the price distribution at a specific point in time. At the selected future date, it displays projected price levels and their percentage change from today’s close across 1, 2, and 3 standard deviation (σ) ranges:
1σ range = ~68.2% probability the price will remain within this range.
2σ range = ~95.4% probability the price will remain within this range.
3σ range = ~99.7% probability the price will remain within this range.
What makes this indicator especially useful is its ability to incorporate implied volatility skew. When only ATM IV (%) is entered, the indicator displays the standard Black–Scholes lognormal distribution. By adding High IV (%) and Low IV (%) values tied to strikes above and below the current price, the indicator interpolates between these inputs to approximate the implied volatility skew. This adjustment produces a market-implied probability distribution that indicates whether the option market is leaning bullish or bearish, based on the data entered in the menu:
ATM IV (%) = Implied volatility at the current spot price (at-the-money).
High IV (%) = Implied volatility at a strike above the current spot price.
High Strike = Strike price corresponding to the High IV input (OTM call).
Low IV (%) = Implied volatility at a strike below the current spot price.
Low Strike = Strike price corresponding to the Low IV input (OTM put).
Expiration (Day, Month, Year) = Option expiration date for the projection.
Once these inputs are entered, the indicator calculates implied probability ranges and, if both High IV and Low IV values are provided, adjusts for skew to approximate the option market’s distribution. If no implied volatility data is supplied, the indicator defaults to a lognormal distribution based on historical volatility, using past realized volatility over the same forward horizon. This keeps the tool functional even without implied volatility inputs, though in that case the output represents only an approximation of ATM IV, not the actual market view.
In summary, the Implied Volatility Range is a powerful tool that translates implied volatility inputs into a clear and practical estimate of the market’s expectations for future prices. It allows traders to visualize the probability of price ranges while also highlighting directional bias, a dimension often difficult to interpret from traditional implied volatility charts. It should be emphasized, however, that this tool reflects only the market’s expectations at a specific point in time, which may change as new information and trading activity reshape implied volatility.
Piano Frequency LevelsPiano Frequency Levels
This indicator applies the mathematical principles of musical harmony to market analysis, creating support and resistance levels based on authentic piano frequency ratios. Drawing from centuries-old musical theory, it maps the precise mathematical relationships between piano keys to price levels.
How It Works: The indicator uses the exact frequency ratios from equal temperament tuning - the same mathematical system that makes pianos sound harmonious. Each level represents an actual piano key frequency, scaled proportionally to your chosen anchor price.
Key Features:
• Piano-Based Ratios: Uses authentic 12-tone equal temperament frequency relationships (1.05946 ratio between semitones)
• Directional Intelligence: Automatically creates ascending levels from lows (resistance) or descending levels from highs (support)
• Musical Note Labels: Optional display of actual piano key names (C4, D#5, F6, etc.) alongside price levels
• Black Key Subdivisions: Toggle authentic sharp/flat keys between natural notes for additional precision
• Octave Color Coding: Each musical octave displays in a different color for easy visual identification
• Anchor Reference: Bright green line clearly marks your C-note reference point
Musical Foundation: Every level corresponds to an actual piano key. The anchor point represents "C" (the musical root), with levels progressing through the natural musical sequence: C, D, E, F, G, A, B, then repeating in higher octaves. This creates proportional spacing that mirrors the harmonic relationships musicians have used for centuries.
Usage:
1. Set your anchor to a significant market high or low
2. Choose your desired number of levels (typically 12-24 for 1-2 octaves)
3. Enable "Add Black Keys" for additional intermediate levels
4. Enable "Show Note Names" to see which piano key each level represents
The Theory: Musical harmony is based on precise mathematical ratios that create pleasing relationships between frequencies. These same mathematical principles may manifest in market movements, as price action often exhibits proportional relationships similar to musical intervals.
Unique Advantages:
• Based on established mathematical principles rather than arbitrary ratios
• Provides both major levels (white keys) and intermediate levels (black keys)
• Automatically adapts direction based on anchor type (high vs low)
• Maintains authentic musical relationships across all timeframes and price ranges
Important Note: This indicator presents a theoretical framework for market analysis. Like all technical analysis tools, it should be used in conjunction with other forms of analysis and proper risk management. The musical ratios provide a unique perspective on potential support and resistance levels, but past performance does not guarantee future results.
Transform your charts into a musical instrument and discover the hidden harmonies in market movements.
Expected Value Monte CarloI created this indicator after noticing that there was no Expected Value indicator here on TradingView.
The EVMC provides statistical Expected Value to what might happen in the future regarding the asset you are analyzing.
It uses 2 quantitative methods:
Historical Backtest to ground your analysis in long-term, factual data.
Monte Carlo Simulation to project a cone of probable future outcomes based on recent market behavior.
This gives you a data-driven edge to quantify risk, and make more informed trading decisions.
The indicator includes:
Dual analysis: Combines historical probability with forward-looking simulation.
Quantified projections: Provides the Expected Value ($ and %), Win Rate, and Sharpe Ratio for both methods.
Asset-aware: Automatically adjusts its calculations for Stocks (252 trading days) and Crypto (365 days) for mathematical accuracy.
The projection cone shows the mean expected path and the +/- 1 standard deviation range of outcomes.
No repainting
Calculation:
1. Historical Expected Value:
This is a systematic backtest over thousands of bars. It calculates the return Rᵢ for N past trades (buy-and-hold). The Historical EV is the simple average of these returns, giving a baseline performance measure.
Historical EV % = (Σ Rᵢ) / N
2. Monte Carlo Projection:
This projection uses the Geometric Brownian Motion (GBM) model to simulate thousands of future price paths based on the market's recent behavior.
It first measures the drift (μ), or recent trend, and volatility (σ), or recent risk, from the Projection Lookback period. It then projects a final return for each simulation using the core GBM formula:
Projected Return = exp( (μ - σ²/2)T + σ√T * Z ) - 1
(Where T is the time horizon and Z is a random variable for the simulation.)
The purple line on the chart is the average of all simulated outcomes (the Monte Carlo EV). The cone represents one standard deviation of those outcomes.
The dashed lines represent one standard deviation (+/- 1σ) from the average, forming a cone of probable outcomes. Roughly 68% of the simulated paths ended within this cone.
This projection answers the question: "If the recent trend and volatility continue, where is the price most likely to go?"
Here's how to read the indicator
Expected Value ($/%): Is my average trade profitable?
Win Rate: How often can I expect to be right?
Sharpe Ratio: Am I being adequately compensated for the risk I'm taking?
User Guide
Max trade duration (bars): This is your analysis timeframe. Are you interested in the probable outcome over the next month (21 bars), quarter (63 bars), or year (252 bars)?
Position size ($): Set this to your typical trade size to see the Expected Value in real dollar terms.
Projection lookback (bars): This is the most important input for the Monte Carlo model. A short lookback (e.g., 50) makes the projection highly sensitive to recent momentum. Use this to identify potential recency bias. A long lookback (e.g., 252) provides a more stable, long-term projection of trend and volatility.
Historical Lookback (bars): For the historical backtest, more data is always better. Use the maximum that your TradingView plan allows for the most statistically significant results.
Use TP/SL for Historical EV: Check this box to see how the historical performance would have changed if you had used a simple Take Profit and Stop Loss, rather than just holding for the full duration.
I hope you find this indicator useful and please let me know if you have any suggestions. 😊
Stop Loss Advisor📊 Stop Loss Advisor - Advanced Risk Management Tool
A sophisticated Pine Script v5 indicator designed to suggest optimal stop loss distances based on market volatility, combining ATR and Standard Deviation analysis for precise risk management.
🎯 What Makes This Different from Bollinger Bands?
While Bollinger Bands focus on mean reversion and overbought/oversold conditions using a moving average center line, this indicator is specifically designed for risk management . It creates dynamic bands around the current price to suggest where NOT to place your stop loss, preventing you from being stopped out by normal market noise.
⚡ Key Features
Dynamic ATR Calculation - Fully customizable ATR periods with adaptive volatility filtering
Standard Deviation Integration - Optional StdDev component for enhanced statistical accuracy
Multiple Combination Modes - Average, Maximum, ATR Weighted, or StdDev Weighted
Flexible Price Sources - Choose from Close, HL2, HLC3, or OHLC4
Automatic Pip Calculation - Works across all instruments with automatic pip value detection
Smart Alerts System - Get notified when suggested stop loss exceeds your base risk tolerance
Real-time Information Table - Displays current values and risk status
Visual Labels - Shows exact pip distances directly on chart
Band Smoothing - Prevents erratic movements with customizable averaging
📈 How It Works
ATR Analysis : Calculates Average True Range to measure current market volatility
Statistical Enhancement : Optionally combines with Standard Deviation for more robust calculations
Dynamic Bands : Creates upper and lower bands that expand/contract with volatility
Pip Conversion : Automatically converts distances to pips for easy interpretation
Risk Assessment : Compares suggested distances with your base stop loss tolerance
🔧 Customization Options
ATR Settings:
Customizable ATR period (default: 14)
Adjustable multiplier with 0.1 step precision
Optional volatility filtering for enhanced sensitivity
Standard Deviation (Optional):
Independent period and multiplier settings
Multiple price source options
Four combination modes with ATR
Visual Customization:
Fully customizable colors for all elements
Multiple line styles (solid, dashed, dotted)
Optional band filling with transparency control
Show/hide ATR line overlay
Configurable band smoothing
💡 Perfect For
Forex Traders - Especially effective on major pairs and XAUUSD
Risk Managers - Calculate optimal stop distances before entering trades
Scalpers - Avoid being stopped out by normal market fluctuations
Swing Traders - Adapt stop losses to current volatility conditions
📊 Indicator Values
The information table displays:
Current ATR Value (in pips)
Suggested Long Stop Loss (distance in pips)
Suggested Short Stop Loss (distance in pips)
Risk Status - "SAFE" or "HIGH RISK" based on your base tolerance
Standard Deviation Value (when enabled)
Combination Method (when using both ATR and StdDev)
⚠️ Important Notes
This indicator suggests minimum stop loss distances, not entry/exit signals
Always combine with your trading strategy and risk management rules
Do not use as a standalone trading system
Backtesting recommended before live implementation
Default settings work well for most scenarios, but optimization is encouraged
🎨 Default Configuration
ATR Period: 14
ATR Multiplier: 2.0
Price Source: Close
Base Stop Loss: 20 pips
Band Smoothing: 3 periods
Standard Deviation: Optional (20 period, 2.0 multiplier)
🚀 Getting Started
Add the indicator to your chart
Set your base stop loss tolerance in the settings
Choose your preferred price source and ATR parameters
Enable Standard Deviation for enhanced accuracy (optional)
Monitor the information table for real-time risk assessment
Use the suggested distances as minimum stop loss levels
Pro Tip: In low volatility markets, the bands will contract suggesting tighter stops. In high volatility periods, they expand warning you to use wider stops to avoid being stopped out by normal price action.
📝 Version History & Updates
This indicator is actively maintained and updated based on user feedback. Future enhancements may include multi-timeframe analysis, trend-based asymmetric bands, and additional statistical measures.
Transform your risk management approach with data-driven stop loss suggestions that adapt to real market conditions!