Session Trader - Optimal Hours📊 Overview
Never miss the best trading hours again! This indicator provides a comprehensive, real-time session tracker that shows you EXACTLY when to trade crypto and when to stay out of the market. Automatically converts all times to your local timezone, highlights the current active session, and shows what's coming next.
Perfect for crypto traders who want to maximize profits by trading during high-liquidity, high-volume sessions while avoiding choppy, low-liquidity periods that lead to losses.
✨ Key Features
🎯 Real-Time Session Tracking
LIVE indicator shows which session is currently active with bright highlighting
NEXT UP feature highlights the upcoming session when between trading periods
Smart header displays current status at a glance
Real-time countdown timers for every session (opens/closes)
📍 6 Critical Trading Sessions Covered
✅ BEST TRADING SESSIONS (Green):
London Open (07:00-09:00 UTC) - High volatility kickoff, institutional orders
London-NY Overlap (13:30-15:30 UTC) - THE BEST period! Maximum liquidity & volume
NY Momentum (15:30-18:00 UTC) - Strong trending moves, continuation plays
❌ AVOID TRADING SESSIONS (Red):
4. Pre-Asia Quiet (21:00-00:00 UTC) - Low liquidity, erratic moves, wide spreads
5. Asia Lunch (03:30-05:00 UTC) - Choppy markets, whipsaws, unreliable patterns
6. Post-US Drift (20:00-21:00 UTC) - Market slows, unpredictable behavior
🌍 Automatic Timezone Conversion
Times display in YOUR chart timezone - no manual conversion needed!
Works in Berlin, New York, Tokyo, Sydney, or anywhere in the world
Switch between 12-hour and 24-hour formats
🎨 Visual Clarity
Active TRADE sessions = Bright green background, impossible to miss
Active AVOID sessions = Bright red background, clear warning
NEXT UP session = Orange highlight when between sessions
Inactive sessions = Faded gray, stays out of your way
Color-coded status column with clear ✓ TRADE or ✗ AVOID indicators
⚙️ Fully Customizable
9 table positions (top-left, top-right, bottom-center, etc.)
6 text sizes (tiny to huge) for any screen size
Toggle individual sessions on/off
Show/hide descriptions for cleaner view
Custom colors for each session type
Countdown timer toggle
🔔 Built-In Alerts
Automatic alerts when TRADE sessions start
Alerts when AVOID sessions begin (so you don't enter bad conditions)
Customizable per session
📖 How To Use
Basic Setup:
Add indicator to any crypto chart (BTC, ETH, etc.)
Times automatically convert to your chart's timezone
Watch the header - shows current session or next upcoming
Look for bright colors:
🟢 Bright green = TRADE NOW
🔴 Bright red = AVOID NOW
🟠 Orange = NEXT UP (coming soon)
Trading Strategy:
Focus on GREEN sessions (London Open, London-NY Overlap, NY Momentum)
Avoid RED sessions (Pre-Asia Quiet, Asia Lunch, Post-US Drift)
Prepare for ORANGE sessions (next up - get ready!)
Use countdown timers to plan entries/exits perfectly
Pro Tips:
London-NY Overlap is the BEST - highest volume, tightest spreads, cleanest trends
First 30 minutes of London can have quick reversals - use caution
NY Momentum is perfect for riding trends with trailing stops
NEVER trade during Asia Lunch - choppy, unpredictable, costs you money
Post-US Drift looks tempting but often leads to whipsaws
🔧 Indicator Settings
Display Options:
Table Position: Choose from 9 positions on your chart
Text Size: Auto, Tiny, Small, Normal, Large, Huge
Time Format: 12-hour (AM/PM) or 24-hour format
Show Countdown: Toggle real-time countdown timers
Show Description: Toggle detailed session descriptions
Highlight Next Session: Orange highlight for upcoming session
Session Toggles:
Enable/disable any of the 6 sessions individually:
London Open
London-NY Overlap
NY Momentum
Pre-Asia Quiet
Asia Lunch
Post-US Drift
Color Customization:
Active TRADE session color (default: bright green)
Active AVOID session color (default: bright red)
NEXT UP session color (default: orange)
Inactive session color (default: faded gray)
Alerts:
Individual alert toggles for each session
Alerts fire when sessions start (not every bar)
Includes context in alert message
📊 Session Details
🟢 London Open (07:00-09:00 UTC)
Status: TRADE ✓
Characteristics:
London opens with high volatility as European traders enter
Major institutional orders create significant price movements
Perfect for breakout and trend-following strategies
Watch for quick reversals in first 30 minutes
Good liquidity and volume
🟢 London-NY Overlap (13:30-15:30 UTC)
Status: TRADE ✓
THE BEST TRADING PERIOD!
Maximum liquidity as London & NY markets overlap
Institutional volume peaks, creating clean trends
Reliable technical setups, tightest spreads
Best execution quality
Focus on momentum and breakout trades
🟢 NY Momentum (15:30-18:00 UTC)
Status: TRADE ✓
Characteristics:
Strong directional moves as US market dominates
Trending behavior ideal for position trades
Continuation patterns highly reliable
Major news impact is highest during this period
Use trailing stops to ride trends effectively
🔴 Pre-Asia Quiet (21:00-00:00 UTC)
Status: AVOID ✗
WARNING:
Pre-Asian session with minimal liquidity
Thin order books cause erratic price action
Fake breakouts and stop-hunting common
Wide spreads increase trading costs
High risk, low reward - wait for better conditions
🔴 Asia Lunch (03:30-05:00 UTC)
Status: AVOID ✗
WARNING:
Asian lunch break creates choppy, directionless markets
Low volume leads to whipsaws and false signals
Market makers widen spreads significantly
Technical patterns unreliable
Not worth the risk - take a break!
🔴 Post-US Drift (20:00-21:00 UTC)
Status: AVOID ✗
WARNING:
Post-US session as major markets close
Liquidity dries up, causing unpredictable moves
High slippage risk
Market enters consolidation before Asian open
Better to wait for next quality session
🎯 Who Is This For?
Perfect for:
✅ Crypto day traders who want to maximize profits by timing the markets
✅ Scalpers who need high liquidity and tight spreads
✅ Swing traders who want to enter during optimal conditions
✅ Beginners who need clear guidance on when to trade
✅ Anyone tired of choppy sessions that eat away profits
Ideal Markets:
Bitcoin (BTC/USD, BTC/USDT)
Ethereum (ETH/USD, ETH/USDT)
Major altcoins (SOL, XRP, ADA, etc.)
Any 24/7 crypto market
💡 Why Session Timing Matters
Trading crypto during low-liquidity sessions is one of the biggest mistakes traders make:
❌ Trading during bad sessions causes:
Wider spreads (higher costs per trade)
Choppy, unpredictable price action
Fake breakouts and stop-hunting
Poor trade execution and slippage
Emotional frustration and overtrading
✅ Trading during optimal sessions gives you:
Tight spreads (lower costs)
Clean, trending price action
Reliable technical patterns
Better execution quality
Higher win rates and confidence
The difference between a profitable trader and a losing trader is often WHEN they trade, not HOW they trade.
🚀 Technical Details
Version: Pine Script v6
Type: Overlay indicator (table display)
Repainting: Non-repainting (all times are fixed to session schedules)
Updates: Real-time on every bar
Performance: Lightweight, no lag
Compatibility: Works on any timeframe (1m to 1D+)
📈 Best Practices
Plan your trading schedule around GREEN sessions
Set alerts for session starts so you never miss opportunities
Use the countdown to prepare entries/exits in advance
Combine with your strategy - this indicator tells you WHEN, your strategy tells you WHAT
Respect the RED sessions - discipline is profit
Keep descriptions ON when learning, turn OFF for cleaner charts later
🔄 Updates & Support
This indicator is actively maintained. Future updates may include:
Session volume statistics
Historical session performance tracking
Additional regional sessions
More customization options
Statistics
Lot Size Panel Lite Multi (@JP7FX)Lot Size Panel Lite Multi is a fast, no-nonsense risk and position sizing tool built for active traders who need answers immediately.
This indicator removes all chart clutter and focuses on one thing only. Correct lot size based on your stop loss and risk.
It is designed for scalpers, day traders, and funded account traders who do not want complex menus or slow workflows.
What it does
Calculates precise lot size from stop loss and risk
Supports percentage risk or fixed cash risk
Works across Forex, Gold, Crypto, Index/CFD, and Stocks
Displays results in a clean on-chart panel
Supports multiple accounts at once
Key features
Risk first layout. Stop loss and risk inputs are at the top
Multi account support with A1 enabled by default
Per account currency handling with automatic FX conversion
Manual FX fallback option when TradingView rates are unavailable
Customisable panel colours and layout
Movable panel with multiple screen positions
How to use
Select your Asset Type
Enter your Stop Loss in pips
Choose Risk mode
Percent uses account balance
Cash risks a fixed amount
Set your account balance and currency
Read the calculated lot size instantly
Index and CFD users
For Index and Stock instruments, set the “value per pip per 1 lot” to match your broker.
Example:
If 1 lot equals $10 per point, enter 10
Who this is for
Traders who execute fast and want zero friction
Prop firm traders managing multiple accounts
Traders who want correct risk every trade without thinking
This is the Lite version of the JP7FX lot sizing tools.
It strips everything back to speed, clarity, and accuracy.
Trade smart.
JP7FX
RO H1 Signal CandleMarks specific H1 signal candles based on Bucharest (RO) time.
Designed for clean backtesting and time-based analysis.
Displays a small marker on selected hourly candles only.
CFO Y+QOperating Cash Flow (CFO) – Annual + Quarterly
This indicator plots a company’s Operating Cash Flow (CFO) for both Annual (FY) and Quarterly (FQ) reporting periods in a single pane. CFO represents the net cash generated (or used) by the firm’s core operations during the period, as reported in the cash flow statement.
How to read it:
Positive CFO generally indicates the business is generating cash from operations.
Negative CFO may indicate cash burn from operations, often due to operating losses or adverse working-capital movements.
Viewing FY and FQ together helps you compare long-term operating cash generation with shorter-term quarterly volatility.
Scaling:
The indicator includes an optional scaling setting (Raw / Millions / Billions / Auto) to improve readability. In Auto mode, both series are displayed using the same scale for consistent comparison.
Cash Conversion Ratio (CFO / Net Income)This indicator measures how effectively a company converts its accounting profits into cash generated from core operations. It is calculated as:
Cash Conversion Ratio = Operating Cash Flow (CFO) ÷ Net Income
A value around 1.0 (or 100%) generally indicates strong earnings quality, meaning reported profits are broadly supported by operating cash inflows. Values above 1.0 suggest operating cash flow exceeds net income, while values below 1.0 may indicate weaker cash conversion, often due to working-capital changes (e.g., receivables, inventory) or other timing effects. Negative or near-zero net income can make the ratio volatile or less interpretable.
Kairos QX Indicator [v1.7]What’s New in v1.7?
Streak Analytics (Dashboard Expansion):
The dashboard now tracks Winning and Losing Streaks.
Max Consec. (TP / SL): Displays the highest number of wins and losses that occurred in a row (e.g., 5 / 3).
Avg Consec. (TP / SL): Calculates the average length of your winning and losing streaks (e.g., 2.4 / 1.8).
Updated Default "settings" for MNQ 5 MIN Candles
Full Script Description
This script is a professional-grade Mean Reversion & Trend Following Engine designed for automated execution. It acts as a bridge between discretionary chart analysis and algorithmic trading, allowing you to backtest complex ideas visually and then automate them via alerts without writing code.
1. Core Logic: The "Flip Switch" Strategy
Standard Mode (Mean Reversion):
The script identifies "exhaustion" points where price pierces the Bollinger Bands.
It bets on a reversal (e.g., Price > Upper Band = Short).
Inverse Mode (Trend Following - Default):
With the "Inverse Trades" box checked, the logic flips.
It identifies "breakout" points where price pierces the bands.
It bets on continuation (e.g., Price > Upper Band = Long).
2. Advanced Automation & Safety Features
This system is built to drive trading bots (like TradersPost or 3Commas) safely:
State-Aware Execution: It tracks its own trades (in_trade state). It will never fire a duplicate "Open" signal if a trade is already active, preventing accidental pyramiding.
No Trade Zone (Force Close): You can define a specific time window (default 15:10–17:00). If a trade is open when this time hits, the script immediately triggers a Close Alert, preventing overnight holds.
Signal Cooldown: Configurable "Signals to Skip" allows you to force a cooldown period after a trade closes to avoid over-trading in choppy conditions.
3. Real-Time Analytics Dashboard
The on-chart table provides a transparent, real-time backtest of your settings:
Equity Calculator: You can set a dollar value per point (e.g., $2 for MNQ). The dashboard calculates your estimated Net Profit/Loss based on the total points gained.
Streak Analysis: Shows both the Maximum and Average number of consecutive wins and losses, helping you understand the psychological difficulty of trading the strategy.
Data Integrity: It automatically detects "N/A" trades (candles that hit both SL and TP) and excludes them from the Win Rate calculation to ensure realistic statistics.
4. Modular "Recipe" Building
The strategy is highly customizable via the settings menu (no coding required). You can filter the Bollinger Band trigger with 10 different indicators:
Supported Filters: RSI, Stochastic, CCI, Williams %R, MFI, CMO, Fisher Transform, Ultimate Oscillator, and ROC.
Logic: All selected filters must agree with the main trigger for a trade to fire.
5. Visual Projection Engine
Glowing Outcomes: The script draws exact TP (Green) and SL (Red) boxes for past trades. These boxes glow to indicate the result, allowing for rapid visual verification of the strategy's performance.
Force Close Markers: Special gray markers appear on the chart where a trade was forced to close due to the "No Trade Zone" time limit.
Straight Regression Line + Normalized Slope (Adaptive Length)Find the regression line of available candles.
It will print the slope and the normalized slope
Kairos QX Indicator [v1.6]This script, Kairos QX , is a sophisticated, highly customizable trading engine designed for automated execution. It serves as a bridge between discretionary charting and algorithmic trading, allowing you to visually backtest complex ideas and then automate them via alerts.
Its core logic is built on Mean Reversion, but it features a powerful "Inverse Mode" that instantly transforms it into a Trend Following system.
1. The Core Strategy: Mean Reversion (Default)
By default, the script operates on the principle that price eventually returns to an average value after an extreme move.
Logic: It fades the move.
Short Signal: Price pierces the Upper Bollinger Band (overbought) + optional confluence filters (e.g., RSI > 70). The bet is that price will revert down.
Long Signal: Price pierces the Lower Bollinger Band (oversold) + optional confluence filters. The bet is that price will revert up.
2. The "Inverse Mode": Trend Following (Flip Switch)
The script includes a unique Inverse Trades checkbox that flips the entire logic engine. This allows you to adapt to market conditions where price isn't reverting but is instead "running" hard.
Logic: It rides the breakout.
Short Signal becomes Long: When price pierces the Upper Bollinger Band, instead of shorting (expecting a drop), the script enters Long (expecting the trend to blast through and continue higher).
Long Signal becomes Short: When price pierces the Lower Bollinger Band, the script enters Short, betting on a trend continuation downward.
Why this matters: If your backtest shows a failing Mean Reversion strategy (e.g., a "F" grade), flipping this switch can instantly invert those losses into wins by aligning with the trend instead of fighting it.
3. Built for Automation & Safety
The script is engineered to safely drive third-party auto-trading bots (like TradersPost, 3Commas, or PineConnector) without manual intervention.
State-Aware Execution: The script tracks its own trade state. It will never fire a duplicate "Open" signal if a trade is already active, preventing accidental double-entries.
No Trade Zone (Force Close): You can set a specific time window (e.g., 15:55 PM) where the script automatically triggers a Close Alert for any open position. This protects you from holding day trades overnight or through major news events.
Signal Cooldown: To prevent over-trading in choppy markets, you can set the script to ignore the next 1-5 signals after a trade finishes, forcing it to wait for a fresh setup.
4. Modular "Recipe" Building
You don't need to know code to change the strategy. The settings menu allows you to mix and match 10 different indicators as confluence filters.
Example Recipe: "Only take a Mean Reversion Long if: Price is below the Bollinger Band AND RSI is < 30 AND MFI is < 20."
If you check the boxes, the script enforces the rules. If you uncheck them, they are ignored.
5. Visual Projection Dashboard
The script doesn't just print arrows; it performs a real-time visual backtest on the chart.
Glowing Projections: It draws the exact Take Profit (Green) and Stop Loss (Red) boxes for historical trades. These boxes glow to indicate if the trade won or lost.
Data Integrity: It automatically detects and isolates "N/A" trades—candles so volatile that they hit both your SL and TP in the same bar—excluding them from your win rate to keep your data realistic.
Live Grading: A dashboard in the corner grades your current settings (A-F) based on their performance over the last 1,000 to 40,000 bars.
Recovery Adaptive Optimizer [Starbots]Recovery Adaptive Optimizer is a high-performance, on-chart parameter optimization engine designed specifically for the Recovery Adaptive Strategy.
It enables professional traders and quantitative researchers to systematically evaluate thousands of parameter combinations directly within Pine Script, without relying on external tools.
The optimizer performs a full simulation of the strategy logic, replicating adaptive position sizing, dynamic take-profit expansion, and loss-streak behavior with precision.
🧠 Optimization Methodology
The optimizer executes a multi-configuration simulation grid in parallel, where each configuration represents a unique combination of:
Base Take-Profit (%)
Take-Profit Factor
Stop-Loss (%)
Position Size Factor
Volatility Filter (On / Off)
Flat-Market Filter (On / Off)
Trend Filter (On / Off)
Each configuration is evaluated using the same execution logic as the strategy:
Single-position model
Loss-streak-based scaling
Step-capped progression
Bar-confirmed entries and exits
Commission-aware equity accounting
This allows precise comparative analysis across high-volatility market conditions, where parameter sensitivity and expansion behavior are most relevant.
Optional features include:
Higher-timeframe signal evaluation
Volatility-conditioned execution
Flat-market exclusion
EMA trend alignment (manual toggle)
All filters can be evaluated independently across the optimization grid.
📊 Performance Metrics & Ranking
Each configuration is evaluated using multiple institutional-grade metrics:
Net Profit (%)
Maximum Drawdown (%)
Win Rate
Trade Count
Equity Curve Peak-to-Valley 'Drawdown'
Configurations are ranked using a score metric:
Score = Profit % ÷ Max Drawdown %
This allows rapid identification of parameter sets that balance performance efficiency and capital utilization.
🏆 Automated Best-Case Selection
At the end of the historical data window, the optimizer additionally identifies and displays:
🏆 Best Configuration by Net Profit
🛡️ Best Configuration by Lowest Drawdown
🎯 Best Configuration by Win Rate (with optional minimum profitability threshold)
Top-ranked configurations are displayed via ranked comparison table (Top 5 or Top 15 results)
🧩 Intended Use
This optimizer is designed for:
Professional traders
Systematic strategy developers
Quantitative research
Parameter tuning for volatile markets
Strategy calibration across different instruments and timeframes
It provides a structured, transparent environment for identifying robust parameter clusters rather than single isolated results.
NQ Market DNA: ML ScorerNQ Market DNA: ML Scorer — Indicator Description
NQ Market DNA: ML Scorer is a session-structure and machine-learning scoring tool designed specifically for Nasdaq futures (NQ/MNQ). It converts the market’s overnight behavior into a single, probability-style score (0–100%) and a clear directional bias for the upcoming New York session.
This script is not a generic “trend indicator.” It is a rules-based implementation of a machine-learning model whose feature set and weightings were built and calibrated in Python using historical session data. The Pine Script version is the real-time execution layer: it measures the live session structure, applies the model weights, and displays the result on-chart.
________________________________________
What the indicator plots
1) Session Boxes (Structure Map)
The indicator draws three session ranges using boxes and a midline:
• Asia Session (20:00–02:00 NY time by default)
• London Session (02:00–08:00 NY time by default)
• New York Session (08:00–16:00 NY time by default)
Each session box:
• Expands in real time as highs/lows develop
• Includes a dotted midline (session midpoint)
• “Locks” its final values once the session ends
2) Extension Levels (Target Interaction)
When Asia or London ends, the script projects high and low extension lines forward into the day. These lines extend until one of the following happens:
• Price trades back through the level (a touch/cross condition), or
• The script reaches the hard stop at 16:00 (end of NY session)
This makes it easy to visually track whether later sessions respect or invalidate prior-session extremes.
________________________________________
The ML scoring concept
Output: “Probability of High First” (0–100%)
The model’s output is a normalized score intended to behave like a probability. Practically:
• Score ≥ 50% → Bullish bias (“London High First”)
• Score < 50% → Bearish bias (“London Low First”)
The score is produced by summing weighted session features. If a feature is bullish, it contributes its weight; if bearish, it contributes zero. The weights approximately sum to ~100, so the final score naturally maps into a 0–100 range.
Bias coloring
The on-chart score cell uses a risk-style color gradient:
• Strong Bullish (typically > 75): green
• Neutral / mixed (around 40–75): orange
• Bearish / weak (below ~40): red
________________________________________
Features used by the model (and why they matter)
The ML scorer is driven by session positioning, trend, and volatility. Your Python research determined the relative importance of each feature; the largest weights reflect the strongest historical explanatory power.
Primary drivers (most important)
1. NY Open Location (Weight ~63.73%)
Checks whether the NY session opens above or below the London midpoint.
This is treated as the dominant structural signal because it captures whether NY is opening in the “upper half” or “lower half” of London’s range.
2. London Trend (Weight ~28.09%)
London close vs London open (bullish if close > open).
This represents whether London printed a directional push versus chop.
3. London Outcome / Structure (Weight ~4.21%)
Classifies London relative to Asia:
o “High-only sweep” (bullish structure) if London breaks Asia high without breaking Asia low
This is a proxy for one-sided liquidity behavior rather than symmetric volatility.
Minor factors (smaller weights, but still additive)
4. London Volatility (Weight ~1.11%)
London range relative to its own rolling average (lookback-controlled).
Used as a contextual amplifier: higher-than-normal London range can support continuation.
5. Asia Volatility (Weight ~1.05%)
Asia range relative to its rolling average.
Helps distinguish “quiet overnight” vs “expanded overnight,” which can change the day’s tendency.
6. Asia Trend (Weight ~1.00%)
Asia close vs Asia open.
A light directional context input.
7. London Open Location vs Asia Mid (Weight ~0.81%)
Whether London opens above/below the Asia midpoint.
Helps quantify early handoff positioning.
________________________________________
How to read the table
The table is designed to be a compact decision panel:
• ML PREDICTOR: the score (%) for the current day once NY has opened
• NY Bias: bullish or bearish interpretation based on the 50 threshold
• Top Drivers: shows the state of the highest-weighted features (NY location, London trend, structure)
• Minor Factors: a condensed read on volatility context (e.g., “High Vol” vs “Mixed/Low”)
This layout lets you quickly understand not only the bias, but what caused it.
________________________________________
Best-practice usage notes
• This tool is intended to be used as a context engine, not a standalone entry signal.
• It is most effective when combined with your execution framework (levels, risk model, confirmations, etc.).
• Because it relies on session boundaries, chart symbol and market hours must match the intended instrument (NQ futures) for the cleanest behavior.
________________________________________
Critical disclaimer and settings warning
IMPORTANT — DO NOT CHANGE SETTINGS.
This indicator’s machine-learning weights and feature calibration were derived in Python from historical data under a specific configuration (session windows, timezone, and feature definitions). Changing any inputs—especially session times, timezone, rolling windows, or ML feature weights—can materially invalidate the model’s expected behavior and may produce misleading outputs.
Use with caution.
This script is provided for educational and informational purposes only and does not constitute financial advice. Futures trading involves substantial risk and is not suitable for all traders. Past performance and historical patterns do not guarantee future results. You are solely responsible for any trading decisions and risk management.
If you ever re-train or re-calibrate the model in Python, update the weights only by replacing them with the new Python-derived values as a complete set—do not “tune” them manually.
ShayanFx XAU M5 This indicator starts working at 8 am New York market time and you have 3 hours to get signals from it.
We enter a trade on any candle that gives a signal. We place the stop loss behind the same candle and take a reward of 2.
We are not allowed to take more than 2 trades during the day. If the first trade is closed with profit, we will not open another trade, but if the first trade is closed with loss, we are allowed to take another signal.
KIMATIX Market StructureKIMATIX Market Structure is a professional-grade market structure and liquidity framework built for traders who focus on institutional price behavior, not lagging indicators.
This tool continuously analyzes price to map internal (micro) and external (macro) structure, giving you a clear read on whether the market is in continuation, transition, or reversal. Instead of guessing trend direction, you see it unfold in real time through structure breaks and shifts.
What the indicator helps you identify
Micro & Macro Market Structure
Internal structure for execution and timing
Higher-structure context for directional bias
Market Structure Breaks (MSB) vs. Shifts
MSB highlights continuation strength
Shift signals potential trend transition
Institutional Zones
Automatically derived zones where displacement occurred
Designed to highlight areas of likely reaction, mitigation, or continuation
Strong vs. Weak Highs and Lows
Instantly see which extremes are protected and which are vulnerable to liquidity raids
Optional Swing Logic (HH / HL / LH / LL)
For traders who want classic structure confirmation layered on top
Historical vs. Present Mode
Study full structure development or keep the chart clean and execution-focused
The indicator is intentionally not a signal generator. It is a decision-support tool designed to give clarity, context, and confluence. Best results come from combining it with session timing, liquidity concepts, and your execution model.
Built with strict object management and internal safeguards, the script remains fast and stable even on lower timeframes and extended chart history.
If you trade price action, liquidity, and structure, this tool is designed to fit seamlessly into your workflow.
More Indicators here: kimatixtrading.com
support@tennaflow.comAI-Powered Market Sentiment & Trend Detector for Bitcoin
Experience next-level trading with an AI-driven indicator optimized for the 5-minute timeframe. Using advanced AI algorithms to detect market fear and predict trend shifts with precision.
Notes: Only subscribers can use this indicator.
Subscription Access: $168/month .
Email: support@tennaflow.com
Trading Pair:
BINANCE:BTCUSDT26Z2025
Gamma & Volatility Levels [Pro]General Purpose
This indicator analyzes volatility levels and expected price movements, combining gamma concepts (financial options) with volatility analysis to identify support and resistance zones.
Main Components
High Volatility Level (HVL): Calculates a volatility level based on the simple moving average (SMA) of the price plus one standard deviation. This level is represented by an orange line showing where volatility is concentrated.
Expected Movement (Movimiento Esperante): Uses the Average True Range (ATR) multiplied by an adjustable factor to project potential upward and downward movement ranges from the current price. It is drawn in green (upward) and red (downward).
Gamma Levels (Nivelas Gamma): Identifies two key levels: the call resistance (highest high of the last 50 periods) in blue, and the put support (lowest low) in purple. These are based on recent extreme prices.
Additional Information: The indicator calculates the percentage distance between the current price and the HVL, displaying it in a label.
Visual Elements
Colored lines on the chart for each level.
Labels with exact values next to each line.
A table in the upper right corner summarizing all calculated values.
Options to show or hide each element according to preference.
This is a useful tool for traders who work with options or seek to identify levels of extreme volatility and dynamic support/resistance zones.
Al Brooks - Bar CountIndicator Purpose:
This indicator displays bar counts on the chart to help traders identify important time nodes and cycle transitions
Features smart session filtering with automatic futures/stock detection and appropriate trading session counting
Core Features:
Smart asset detection: Auto-detect futures and stocks
Session filter toggle: Choose all-day or session-specific counting
Auto timezone handling: Chicago time for futures, NY time for stocks
Flexible display control: Customizable display frequency and label size
Session Settings:
8:30-15:15 (CT) / Futures mode: Chicago time 8:30-15:15 (CT)
9:30-16:00 (ET) / Stock mode: New York time 9:30-16:00 (ET)
All-day mode: Count from first bar of the day
Timeframe Correspondence:
Multiples of 3: Correspond to 15-minute chart update cycles
Multiples of 12: Correspond to 1-hour chart update cycles
18: Key nodes, important time turning points
Dynamic MAs Zscore | Lyro RSThe Dynamic MAs Zscore is an adaptive momentum and valuation oscillator built around advanced moving averages and statistical Z-Score normalization. By combining a wide selection of moving average types with dynamic deviation bands, this indicator delivers clear insights into trend strength , directional bias , and relative valuation — all in a clean, visually intuitive format.
━━━━━━━━━━━━━━━
Key Features
━━━━━━━━━━━━━━━
Dynamic Moving Average Engine
Applies one of 12 selectable moving average types (SMA, EMA, WMA, VWMA, HMA, ALMA, TEMA, etc.) to the chosen source. This allows fine-tuning between responsiveness and smoothness depending on market conditions.
Z-Score Normalization
Transforms the selected moving average into a standardized Z-Score:
(MA − mean) / standard deviation
This normalization makes momentum strength comparable across assets and timeframes.
Adaptive Deviation Bands
Upper and lower bands are derived from the rolling standard deviation of the Z-Score:
Custom band length
Independent positive and negative multipliers
These bands dynamically expand and contract with volatility.
Dual Signal Modes
Trend Mode – Focuses on directional continuation. Color changes and signals occur when Z-Score breaks above or below deviation bands.
Valuation Mode – Highlights relative overvaluation and undervaluation using a gradient color scale and predefined value zones.
Advanced Visual System
Includes bold layered plots, gradient fills, background shading, and candle/bar coloring to clearly reflect current market state.
Custom Color Palettes
Choose from multiple preset themes (Classic, Mystic, Accented, Royal) or define your own bullish and bearish colors.
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How It Works
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MA Calculation – The selected moving average type is applied to the chosen price source.
Z-Score Computation – The MA is normalized over a user-defined lookback period to quantify deviation from its mean.
Band Construction – Standard deviation of the Z-Score is calculated over the band length and scaled by positive/negative multipliers.
Mode-Dependent Logic
Trend Mode – Breaks above the upper band signal bullish momentum; breaks below the lower band signal bearish momentum.
Valuation Mode – A gradient reflects relative valuation from undervalued to overvalued, with background highlights at extreme Z-Score levels.
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Signal Interpretation
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Trend Confirmation
In Trend Mode, sustained moves beyond deviation bands indicate strong directional bias.
Momentum Strength
The distance of the Z-Score from zero reflects the intensity of trend momentum.
Relative Valuation
In Valuation Mode, deep negative Z-Scores suggest undervaluation, while high positive Z-Scores suggest overvaluation.
Visual Clarity
Bar and candle coloring aligned with oscillator state allows for rapid assessment of market conditions.
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Customization
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Adjust MA type and length to balance speed vs. smoothness.
Modify Z-Score length to control sensitivity.
Tune band length and multipliers for volatility adaptation.
Switch between Trend and Valuation modes depending on strategy.
Personalize visuals using preset or custom color palettes.
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Alerts
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Bullish condition when Z-Score > 0
Bearish condition when Z-Score < 0
Overvalued and undervalued valuation alerts
⚠️ Disclaimer
This indicator is intended for technical analysis and educational purposes only. It does not guarantee profitable outcomes and should be used alongside other tools, confirmation methods, and sound risk management. The author is not responsible for any financial decisions made using this indicator.
EMA Slope Angle# EMA Slope Angle Indicator
A professional, non-repainting overlay indicator that visualizes EMA slope strength as an angle in degrees, providing instant visual feedback through dynamic EMA coloring and comprehensive trend analysis.
## ORIGINALITY
This indicator is original in its approach to slope measurement:
- **Angle-based calculation**: Uses arctangent to calculate slope as an angle in degrees (not percentage), providing a more intuitive measure of trend strength
- **Dynamic visual feedback**: Combines real-time EMA line coloring with regime detection, creating a continuous visual representation of market conditions
- **Comprehensive analysis**: Integrates angle-based trend shift signals with optional statistical analysis in a single, cohesive tool
- **Non-repainting design**: All calculations use confirmed bars only, ensuring reliable, deterministic output
## HOW IT WORKS
The indicator calculates the EMA slope angle using trigonometric functions:
```
Angle = arctan((EMA_current - EMA_past) / lookback_bars) × 180/π
```
This provides an intuitive measure where:
- **Steep angles** = strong trends (visualized with saturated colors)
- **Shallow angles** = weak trends (visualized with lighter colors)
- **Near-zero angles** = flat/consolidation (visualized in gray)
The EMA line color dynamically reflects:
- **Direction**: Green shades for uptrends, red shades for downtrends
- **Strength**: Color intensity based on normalized angle (stronger slopes = more saturated colors)
- **Regime**: Gray for flat conditions when angle is below threshold
## KEY FEATURES
### Dynamic EMA Coloring
- EMA line color changes continuously based on slope strength
- Color intensity reflects trend strength (50-100% opacity range)
- Instant visual feedback without cluttering the chart
### Regime Detection
- Automatically classifies market conditions: **RISING**, **FALLING**, or **FLAT**
- Configurable angle thresholds for regime classification
- Real-time regime updates on confirmed bars only
### Trend-Shift Signals
- Detects transitions from FLAT to RISING/FALLING regimes
- Visual arrows on chart when significant trend shifts occur
- Prevents signal spam by only triggering from FLAT state
- Configurable trigger thresholds for signal sensitivity
### KPI Dashboard
- Real-time angle display (rounded to 1 decimal place)
- Current regime status with color coding
- Last signal tracking (UP/DOWN/NONE)
- Positioned in top-right corner for easy reference
### Advanced Angle Statistics (Optional)
- Detailed breakdown of angle distribution across 9 granular buckets:
- 0-0.2°, 0.2-0.5°, 0.5-1°, 1-1.5°, 1.5-2°, 2-3°, 3-5°, 5-10°, >10°
- Shows count and percentage for each bucket
- Automatically resets on symbol/timeframe changes
- Useful for analyzing historical slope patterns
## SETTINGS
### Main Settings
- **EMA Length**: Period for exponential moving average (default: 50)
- **Slope Lookback Bars**: Number of bars to compare for slope calculation (default: 5)
### Angle Settings
- **Flat Angle Threshold**: Maximum angle for FLAT regime classification (default: 2.0°)
- **Rising Angle Trigger**: Minimum angle to trigger RISING regime and UP signals (default: 1.0°)
- **Falling Angle Trigger**: Maximum angle to trigger FALLING regime and DOWN signals (default: -1.0°)
- **Max Angle for Color Saturation**: Maximum angle for full color intensity (default: 30.0°)
### Display Options
- **Uptrend Color**: Color for rising trends (default: dark green)
- **Downtrend Color**: Color for falling trends (default: dark red)
- **Flat Color**: Color for flat conditions (default: gray)
- **Show Trend-Shift Signals**: Toggle signal arrows on/off (default: true)
- **Show Angle Statistics**: Toggle statistics dashboard on/off (default: false)
## NON-REPAINTING GUARANTEE
- All calculations use confirmed bars only (`barstate.isconfirmed`)
- No future bar references
- No higher timeframe calls using `request.security()`
- Deterministic output - what you see is what you get
- Reliable for backtesting and live trading
## USE CASES
- **Trend Identification**: Instantly identify trend strength and direction at a glance
- **Reversal Detection**: Spot trend reversals early through regime changes
- **Trade Filtering**: Filter trades based on slope strength and regime
- **Consolidation Monitoring**: Identify flat market conditions for range trading
- **Pattern Analysis**: Study historical angle distributions to understand market behavior
- **Momentum Assessment**: Gauge trend momentum through visual color intensity
## LIMITATIONS
- Angle calculation depends on EMA length and lookback period settings
- Regime classification is based on configurable thresholds - adjust to match your trading style
- Signals only trigger when transitioning from FLAT state to prevent spam
- Statistics reset on symbol/timeframe changes (by design)
- Color intensity is normalized to max angle setting - adjust for your market's typical ranges
## TECHNICAL NOTES
- Uses Pine Script v6
- Overlay indicator (plots on price chart)
- No external dependencies
- Compatible with all TradingView chart types
- Works on all timeframes and symbols
## DISCLAIMER
This indicator is designed for visual trend analysis and educational purposes. Always combine with other technical analysis tools, fundamental analysis, and proper risk management strategies. Past performance does not guarantee future results. Trading involves risk of loss.
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**Perfect for**: Swing traders, day traders, trend followers, and market analysts seeking intuitive trend strength visualization.
MenthorQ Levels ConversionLevels Conversion helps traders accurately overlay price levels from spot/index ETFs and indices (like SPX, SPY, QQQ, NDX) onto futures charts (like ES, NQ, etc.).
Because futures and spot/index prices don’t trade at the same price, your levels will be misaligned if you plot them directly. Futures typically trade at a spread or ratio versus their related index/ETF. This indicator solves that by calculating the conversion ratio automatically, so your levels stay aligned on the futures chart.
How it works
This script calculates the ratio between Asset A and Asset B and applies it to convert levels from one instrument to the other (for example, SPX → ES, QQQ → NQ).
Ratio options (3 modes)
You can choose one of three ratio sources:
✅ T1 Ratio (Morning Snapshot)
Select a specific time to “lock” the ratio.
Default: 10:00 AM ET (morning session snapshot)
✅ T2 Ratio (Afternoon Snapshot)
Select a second time to “lock” the ratio.
Default: 3:30 PM ET (afternoon snapshot)
✅ Last Price Ratio (Live)
Uses the last traded price of both assets to compute the ratio.
Note: To refresh the “Last Price” baseline, simply remove and re-add the indicator.
Learn more about Levels Conversions: menthorq.com
Common levels conversions
Some popular use-cases include:
- SPX Gamma Levels → ES
- SPY Gamma Levels → ES
- QQQ Gamma Levels → NQ
- NDX Gamma Levels → NQ
- SPX Intraday Gamma Levels → ES
- QQQ Intraday Gamma Levels → NQ
- SPX Swing Trading Levels → ES
- QQQ Swing Trading Levels → NQ
- GLD Levels → GC
- DIA Levels → YM
- USO Levels → CL
- NVDA / MAG7 Levels → QQQ
online Moment-Based Adaptive Detection🙏🏻 oMBAD (online Moment-Based Adaptive Detection): adaptive anomaly || outlier || novelty detection, higher-order standardized moments; at O(1) time complexity
For TradingView users: this entity would truly unleash its true potential for you ‘only’ if you work with tick-based & seconds-based resolutions, otherwise I recommend to keep using original non-online MBAD . Otherwise it may only help with a much faster backtesting & strategy development processes.
...
Main features :
O(1) time complexity: the whole method works @ O(1) time complexity, it’s lighting fast and cheap
HFT-ready: frequency, amount and magnitude of data points are irrelevant
Axiomatic: no need to optimize or to provide arbitrary hyperparameters, adaptive thresholds are completely data-driven and based on combination of higher-order central moments
Accepts weights: the method can gain additional information by accepting weights (e.g. volume weighting)
Example use cases for high-frequency trading:
Ordeflow analysis: can be applied on non-aggregated flow of market orders to gauge its imbalance and momentum
Liquidity provision: can be applied to high-resolution || tick data to place and dynamically adjust prices of limit orders
ML-based signals: online estimates of higher-order central moments can be used as features & in further feature engineering for trading signal generation
Operation & control: can be applied on PnL stream of your strategy for immediate returns analysis and equity control
Abstract:
This method is the online version of originally O(n) MBAD (Moment-Based Adaptive Detection) . It uses higher-order central & standardized moments to naturally estimate data’s extremums using all data while not touching order-statistics (i.e. current min and max) at all. By the same principles it also estimates “ever-possible” values given the data-generating process stays the same.
This online version achieves reduced time complexity to O(1) by using weighted exponential smoothing, and in particular is based on Pebay et al (2008) work, which provides mathematically correct results for the moments, and is numerically stable, unlike the raw sum-based estimates of moments.
Additionally, I provide adjustments for non-continuous lattice geometry of orderbooks, and correct re-quantization math, allowing to artificially increase the native tick size.
The guidelines of how to adjust alpha (smoothing parameter of exponential smoothing) in order to completely match certain types of moving averages, or to minimize errors with ones when it’s impossible to match; are also provided.
Mathematical correctness of the realization was verified experimentally by observing the exact match with the original non-recursive MBAD in expanding window mode, and confirmed by 2 AI agents independently. Both weighted and non-weighted versions were tested successfully.
...
^^ On micro level with moving window size 1
^^ With artificial tick size increase, moving window size 64
^^ Expanding window mode anchored to session start
^^ Demonstrates numerical stability even on very large inputs
...
∞
Macroeconomic Dashboard by DGTMacroeconomic Dashboard is a script tailored for traders and investors using top-down strategies to navigate global markets. It integrates key macroeconomic indicators, such as monetary policy, inflation, yields, and market sentiment, directly into financial charts.
By visualizing real-time macro data alongside asset price movements, this tool bridges the gap between traditional economic metrics and technical analysis. Whether analyzing crypto or traditional markets, users can better contextualize price action within broader economic cycles and trends.
Designed to support macro-informed decision-making, it helps identify shifts in liquidity, policy direction, and risk appetite, enhancing strategic trade entries and portfolio positioning.
KEY FEATURES
⯌ Macro Dashboard
The script provides a macro dashboard that tracks changes across key economic dimensions: monetary policy, inflation and growth, bond markets, and risk indicators. With built-in anomaly detection and trend analysis across short-, mid-, and long-term timeframes, it helps interpret market moves through a macroeconomic lens, whether analyzing equities, commodities, or digital assets.
⯌ Macro on Chart
By visualizing macro data such as M2 money supply, CPI, treasury yields, and volatility indices, users can more easily correlate economic developments with price action, enhancing situational awareness and decision-making.
MACRO METRICS
The script covers five core macroeconomic domains, each with key metrics:
Liquidity & Monetary Policy
Global M2 Money Supply
Federal Funds Rate
Reverse Repo Operations
Inflation & Economic Growth
Consumer Price Index (CPI)
Producer Price Index (PPI)
Real GDP Growth
Yields & Bond Markets
10-Year Treasury Yield
2-Year Treasury Yield
Yield Curve (10Y–2Y Spread)
Global Risk & Currency Indicators
U.S. Dollar Index (DXY)
Volatility Index (VIX)
Economic Policy Uncertainty Index
Equities, Commodities & Crypto
S&P 500 (SPX)
Nasdaq 100 (NDX)
Gold (XAU/USD)
Crude Oil (WTI)
Bitcoin (BTCUSD)
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Tập lệnh trả phí
Shiori TFGI Lite Technical Fear and Greed Index (Open Source)Shiori’s TFGI Lite
Technical Fear & Greed Index (Open Source)
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English — Official Description
Shiori’s TFGI Lite is an open-source Technical Fear & Greed Index designed to help traders and investors understand market emotion, not predict price.
Instead of generating buy or sell signals, this indicator focuses on answering a calmer, more important question:
> Is the market emotionally stretched away from its own historical balance?
TFGI Lite combines three well-known technical dimensions — volatility, price deviation, and momentum — and normalizes them into a single, intuitive 0–100 sentiment scale.
What This Indicator Is
* A market context tool, not a trading signal
* A way to observe emotional extremes and misalignment
* Designed for any asset, any timeframe
* Fully open source, transparent and adjustable
Core Components
* Fear Factor: Short-term vs long-term ATR ratio with logarithmic compression
* Greed Factor: Price Z-score with tanh-based normalization
* Momentum Factor: Classic RSI as emotional momentum
These factors are blended and gently smoothed to form the current sentiment level.
Historical Baseline & Deviation
TFGI Lite introduces a historical baseline concept:
* The baseline represents the market’s own emotional equilibrium
* Deviation measures how far current sentiment has drifted from that equilibrium
This allows the indicator to highlight conditions such as:
* 🔥 Overheated: High sentiment + strong positive deviation
* 💎 Undervalued: Low sentiment + strong negative deviation
* ⚠️ Misaligned: Emotionally extreme, but inconsistent with historical behavior
How to Use (Lite Philosophy)
* Use TFGI Lite as a background compass, not a trigger
* Combine it with price structure, risk management, and your own strategy
* Extreme readings suggest emotional tension, not immediate reversal
> Think of TFGI Lite as market weather — it tells you the climate, not when to open or close the door.
About Parameters & Customization
All parameters in TFGI Lite are fully adjustable. Markets have different personalities — volatility, sentiment range, and emotional extremes vary by asset and timeframe.
You are encouraged to:
* Adjust fear/greed thresholds based on the asset you trade
* Tune smoothing and baseline lengths to match your timeframe
* Treat sentiment levels as relative, not universal absolutes
There is no single “correct” setting — TFGI Lite is designed to adapt to your market, not force the market into a fixed model.
Important Notes
* This is a technical sentiment indicator, not financial advice
* No future performance is implied
* Designed to reduce emotional decision-making, not replace it
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🇹🇼 繁體中文 — 指標說明
Shiori’s TFGI Lite（技術型恐懼與貪婪指數） 是一款開源的市場情緒指標，目的不是預測價格，而是幫助你理解市場當下的「情緒狀態」。
與其問「現在該不該買或賣」，TFGI Lite 更關心的是：
> 市場情緒是否已經偏離了它自己的歷史平衡？
本指標整合三個常見但關鍵的技術面向，並統一轉換為 0–100 的情緒刻度，讓市場狀態一眼可讀。
這個指標是什麼
* 市場情緒與狀態觀察工具（非買賣訊號）
* 用來辨識情緒極端與錯位狀態
* 適用於任何商品與任何週期
* 完全開源，可學習、可調整
核心構成
* 恐懼因子：短期 / 長期 ATR 比例（對數壓縮）
* 貪婪因子：價格 Z-Score（tanh 正規化）
* 動能因子：RSI 作為情緒動量
歷史基準與偏離
TFGI Lite 引入「歷史情緒基準」的概念：
* 基準代表市場長期的情緒平衡
* 偏離值顯示當前情緒與自身歷史的距離
因此可以辨識：
* 🔥 過熱（高情緒 + 正向偏離）
* 💎 低估（低情緒 + 負向偏離）
* ⚠️ 錯位（情緒極端，但不符合歷史行為）
使用建議（Lite 精神）
* 將 TFGI Lite 作為「背景雷達」，而非進出場依據
* 搭配價格結構、風險控管與個人策略
* 情緒極端不等於立刻反轉
> 你可以把它想像成市場的天氣預報，而不是交易指令。
參數調整與個人化說明
本指標中的所有參數皆可調整。不同市場、不同商品，其波動特性與情緒區間並不相同。
建議你：
* 依標的特性自行調整恐懼 / 貪婪門檻
* 依交易週期調整平滑與基準長度
* 將情緒數值視為「相對狀態」，而非固定答案
TFGI Lite 的設計初衷，是讓你定義市場，而不是被單一參數綁住。
溫馨提示
如果你在調整指標參數時遇到不熟悉的項目，請點擊參數旁邊的 「!」圖示，每個設定都有清楚的說明。
本指標設計為可慢慢探索，請依自己的節奏理解市場狀態。
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🇯🇵 日本語 — インジケーター説明
Shiori’s TFGI Lite は、価格を予測するための指標ではなく、
市場の「感情状態」を可視化するためのオープンソース指標です。
この指標が問いかけるのは、
> 現在の市場感情は、過去のバランスからどれだけ乖離しているのか？
という一点です。
特徴
* 売買シグナルではありません
* 市場心理の極端さやズレを観察するためのツールです
* すべての銘柄・時間軸に対応
* 学習・調整可能なオープンソース
構成要素
* 恐怖要素：ATR 比率（対数圧縮）
* 強欲要素：価格 Z スコア（tanh 正規化）
* モメンタム：RSI
ベースラインと乖離
市場自身の感情的な基準点と、
現在の感情との距離を測定します。
過熱・割安・感情のズレを視覚的に把握できます。
パラメータ調整について
TFGI Lite のすべてのパラメータは調整可能です。市場ごとにボラティリティや感情の振れ幅は異なります。
* 恐怖・強欲の閾値は銘柄に応じて調整してください
* 時間軸に合わせて平滑化やベースライン期間を変更できます
* 数値は絶対値ではなく、相対的な感情状態として捉えてください
この指標は、市場に合わせて柔軟に使うことを前提に設計されています。
フレンドリーヒント
入力項目で分からない設定がある場合は、横に表示されている 「!」アイコン をクリックしてください。各パラメータには分かりやすい説明が用意されています。
このインジケーターは、落ち着いて市場の状態を理解するためのものです。
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🇰🇷 한국어 — 지표 설명
Shiori’s TFGI Lite는 매수·매도 신호를 제공하는 지표가 아니라,
시장 감정의 상태를 이해하기 위한 기술적 심리 지표입니다.
이 지표의 핵심 질문은 다음과 같습니다.
> 현재 시장 감정은 과거의 균형 상태에서 얼마나 벗어나 있는가?
특징
* 거래 신호 아님
* 시장 심리의 과열·저평가·불일치를 관찰
* 모든 자산, 모든 타임프레임 지원
* 오픈소스 기반
구성 요소
* 공포 요인: ATR 비율 (로그 압축)
* 탐욕 요인: Z-Score (tanh 정규화)
* 모멘텀: RSI
활용 방법
TFGI Lite는 배경 지표로 사용하세요.
가격 구조와 리스크 관리와 함께 사용할 때 가장 효과적입니다.
파라미터 조정 안내
TFGI Lite의 모든 설정 값은 사용자가 직접 조정할 수 있습니다. 자산마다 변동성과 감정 범위는 서로 다릅니다.
* 공포 / 탐욕 기준값은 종목 특성에 맞게 조정하세요
* 타임프레임에 따라 스무딩 및 기준 기간을 변경할 수 있습니다
* 감정 수치는 절대적인 값이 아닌 상대적 상태로 해석하세요
이 지표는 하나의 정답을 강요하지 않고, 시장에 맞춰 적응하도록 설계되었습니다.
친절한 안내
설정 값이 익숙하지 않다면, 항목 옆에 있는 "!" 아이콘을 클릭해 보세요. 각 입력값마다 설명이 제공됩니다.
이 지표는 천천히 시장의 맥락을 이해하도록 설계되었습니다.
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Educational purpose only. Not financial advice.
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#FearAndGreed #MarketSentiment #TradingPsychology #TechnicalAnalysis #OpenSourceIndicator #Volatility #RSI #ATR #ZScore #MultiAsset #TradingView #Shiori
Quantifiable Broadening Formations [STAT TRADING]Broadening Formations v4
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OVERVIEW
Automatically identifies and draws Broadening Formations — expanding price structures that reveal where the market is auctioning both higher and lower to find fair value.
This indicator uses a quantifiable, rule-based approach to detect expansion patterns and dynamically tracks the evolution of price ranges in real-time. No subjective drawing required — the indicator handles everything automatically.
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FEATURES
▸ Bar Classification System
Each bar is labeled based on its relationship to the previous bar:
1 = Inside Bar — Range contraction, price stayed within prior bar
2u = Trending Up — Higher high AND higher low
2d = Trending Down — Lower high AND lower low
3 = Outside Bar — Expansion, higher high AND lower low in single bar
C3 = Composite 3 — Multi-bar expansion pattern (2d→2u or 2u→2d completing the range)
Color coding helps identify conviction:
• Green = Bullish structure with bullish close
• Red = Bearish structure with bearish close
• Orange = Conflicted (structure and close disagree)
• Yellow = Outside Bar (3)
• Purple = Composite 3 (C3)
▸ Automatic Formation Detection
The indicator detects when price proves it can take both sides of a range, then:
• Draws dynamic upper and lower boundary lines
• Extends lines forward as projected support/resistance
• Updates the formation in real-time as price makes new highs or lows
• Detects breakouts when price closes through boundaries with conviction
▸ Support/Resistance Test Dots
Visual markers show when price tests the formation boundaries:
• Red dot at high = Price wicked into upper resistance but closed below (failed test)
• Green dot at low = Price wicked into lower support but closed above (held support)
These dots help you see where the market is probing the boundaries before a decisive move.
▸ Breakout & Reclaim Detection
Clear labels mark key events:
• BREAKOUT ↑ = Close above upper boundary (bullish break)
• BREAKOUT ↓ = Close below lower boundary (bearish break)
• RECLAIM ↑ = Failed breakdown, price recovered back into range
• RECLAIM ↓ = Failed breakout, price fell back into range
Reclaims are powerful signals — failed breakouts often lead to strong moves in the opposite direction. The formation automatically expands to include the failed move.
▸ Sub-Formations (Internal Triangles)
White lines show nested formations within larger structures. These internal patterns can provide earlier signals before the major formation resolves.
Sub-formations only appear when they are truly internal to the parent (not touching parent boundaries).
▸ Formation Labels
Each formation is labeled at its trigger point:
• 3 = Triggered by outside bar
• C3 = Triggered by composite pattern
• R1, R2... = Number of reclaims (e.g., "3 R2" = outside bar trigger with 2 reclaims)
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SETTINGS
Show Bar Classification Labels Display 1/2u/2d/3/C3 below each bar
Detect Composite 3s Identify multi-bar expansion patterns
Show Sub/Internal Formations Display nested formations in white
Show Support/Resistance Test Dots Mark boundary tests with colored dots
Show Breakout/Reclaim Labels Label breakouts and reclaims
Major BF Line Color Color for primary formation lines
Sub BF Line Color Color for nested formation lines
Line Width Thickness of formation lines
Bars to Project Forward How far to extend lines into the future
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ALERTS
Set alerts for key events:
• Outside Bar (3) — Single-bar expansion detected
• Composite 3 (C3) — Multi-bar expansion pattern detected
• New BF Started — New broadening formation triggered
• BF Break — Price closed through formation boundary
• BF Reclaim — Failed breakout, formation continues with expanded range
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HOW TO USE
Understand your position:
Are you near the upper boundary, lower boundary, or mid-range? Context matters.
Watch for closes, not wicks:
Wicks test levels. Closes show conviction. The indicator only triggers breakouts on closes through the boundary.
Pay attention to reclaims:
A break that fails and reclaims often leads to an aggressive move the other direction. The "R" count on the label shows how many times this has happened.
Use test dots for entries:
Multiple red dots at resistance followed by a green bar = potential short setup. Multiple green dots at support followed by a red bar = potential long setup.
Sub-formations give early signals:
When an internal triangle breaks, it can front-run the larger formation's move.
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NOTES
• Works on all timeframes and instruments
• Lines update dynamically as new bars form
• Historical formations are preserved on the chart
• Composite 3s (C3) are shown in purple to distinguish from single-bar triggers
• Best used to understand current market structure — combine with your existing strategy for entries
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Objective structure. No guesswork.
p.s This is a public version in a different language than our true BF identification algorithm. There will be some bugs and it is unlikely we will fix it in the near future.
BTC Regime Oscillator (MC + Spread) [1D]ONLY SUPPOSED TO BE USED FOR BTC PERPS, AND SPOT LEVERAGING:
This is a risk oscillator that measures whether Bitcoin’s price is supported by real capital or is running ahead of it, and converts that into a simple risk-regime oscillator.
It's built with market cap, and FDV, and Z-scores compressed to -100 <-> 100
I created this indicator because I got tired of FOMO Twitter and Wall Street games.
DO NOT USE THIS AS A BEGIN-ALL-AND-END-ALL. YOU NEED TO USE THIS AS A CONFIRMATION INDICATOR, AND ON HTF ONLY (1D>) IF YOU USE THIS ON LOWER TIMEFRAMES, YOU ARE FEEDING YOUR MONEY TO A LOW-LIFE DING BAT ON WALL STREET. HERE IS HOW IT WORKS:
This indicator is Split up by
A) Market Cap
--> Represents real money in BTC
--> Ownership capital
--> If MC is rising, money is entering BTC
B) FDV (Fully Diluted Valuation)
--> For BTC: price(21M) (21,000,000)
--> Represents the theoretical valuation
--> Since BTC really has a fixed cap, FDV mostly tracks the price
C) Oscillators
Both MC and FDV are:
--> Logged (to handle scale)
--> Normalized (Z-score)
--> Compressed to -100 <-> 100
HERE ARE THREE THINGS YOU ARE GOING TO SEE ON THE CHART
A) The market cap oscillator (MC OSC)
--> Normalized trend of real capital
RISING: Indicates capital inflow
FALLING: Indicates capital outflow
B) FDV Oscillator
--> Normalized trend of valuation pressure
ABOVE MC: Price is ahead of capital
BELOW MC: Capital is keeping up
!!!! FDV IS CONTEXT NOT SIGNALS !!!!
C) Spread = (FDV - MC)
--> The difference between valuation and capital
(THIS IS THE CORE SIGNAL)
NEGATIVE: Capital is gonna lead price
NEAR 0: Balanced
POSITIVE: Price leads capital
(THIS MEANS STRESS FOR BTC, NOT DILLUTION!)
WHAT DOES -60, 0, 60 MEAN?:
--> These are meant to serve as risk zones, not buy/sell dynamics; this is not the same as an RSI oscillator.
A) 0 level
--> Price and capital are balanced
--> No structural stress
(TRADE WITH NORMAL POSITION SIZE, AND NORMAL EXPECTATIONS)
B) Below -60 (Supportive/Compressed)
--> BTC is relatively cheap to recent history
--> Capital supports price well
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Press trends
--> Use higher ATRs
--> Pullbacks are better here
C) Above 60 (Overextension, or fragile)
--> BTC is expensive relative to recent history
--> Price is ahead of capital
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Reduce leverage, use smaller ATR
--> Use lower ATRs, TP faster
--> Do not chase breakouts
--> Expect volatility and whipsaws
"Can I press trades right now? Or do I need to hog my capital?"
CONDITIONS:
Spread Less than 0 and below -60 = Press trades
Spread near 0 = Normal trading conditions
Spread is Greater than 0 or above 60+ = Capital protection
