RatioXRP / US02Y)Fetches XRP price and 2-year Treasury yield
Calculates composite: XRP price × (1 / US 2Y yield)
Normalizes that composite to % change from first chart bar
Plots that normalized composite line
Analisis Fundamental
RatioBTC/ US02Y)Fetches BTC price and US 2-Year yield (FRED:DGS2)
Computes BTC × (1 / US02Y) to reflect macro impact
Normalizes the composite value to show % change from the first visible value
Plots only the normalized result for clarity
MTF Custom Synthetic IndexMTF Custom Synthetic Index - Ultimate Index Creation Tool
🎯 What is this indicator?
The MTF Custom Synthetic Index is a powerful, fully customizable indicator that allows you to create your own synthetic index using up to 6 different instruments of your choice. Unlike traditional indices, this tool gives you complete control over instrument selection, weightings, and calculation methodology.
⭐ Key Features
🔧 Complete Customization
Choose ANY instruments: Forex pairs, stocks, commodities, indices, cryptocurrencies, bonds, etc.
Manual weight control: Set exact percentage weights for each instrument (must total 100%).
Flexible instrument direction: Ability to invert enabled instruments that move opposite to your desired index direction (i.e. you can use instruments that are negatively correlated).
📊 Multi-Timeframe Analysis
Simultaneous monitoring: View index strength across up to 3 additional timeframes.
Strength rating system: Automatic classification (Very Strong, Strong, Neutral, Weak, Very Weak).
Normalization options: Z-Score, Min-Max, or Percentage methods for timeframe comparison.
Visual summary table: Real-time strength ratings for all timeframes.
🎨 Professional Visualization
Clean chart display: Smooth index strength line with customizable styling.
Dynamic labelling: Real-time value display with strength ratings.
Color-coded indicators: Visual strength representation with intuitive colour schemes.
💡 Use Cases
🌍 Currency Strength Analysis
USD Index: Combine EURUSD (inverted), USDJPY, AUDUSD (inverted), etc.
EUR Index: Combine EURUSD, EURGBP, EURJPY, etc.
Multi-currency baskets: Track regional currency performance.
📈 Sector/Industry Tracking
Technology sector: Combine AAPL, MSFT, GOOGL with custom weights.
Energy sector: Combine oil, gas, and energy stocks.
Precious metals: Combine gold, silver, platinum with custom allocations.
🏛️ Macro Economic Indices
Interest rate sensitivity: Combine bonds, currency pairs, and rate-sensitive stocks.
Inflation hedges: Combine commodities, TIPS, and inflation-sensitive assets.
Risk appetite: Combine safe havens vs. risk assets.
💰 Portfolio Replication
Custom benchmarks: Create indices that match your specific portfolio allocation.
Strategy testing: Build theoretical indices to test investment strategies.
🔥 Key Benefits
✅ Precision Control
Exact weight specifications with mandatory 100% total.
Choose instruments that matter to your trading strategy.
Advanced ADX/DI calculation methodology with configurable parameters.
✅ Versatile Application
Works with any asset class available on TradingView.
Suitable for scalping, day trading, swing trading, and long-term analysis.
Perfect for both retail and institutional approaches.
✅ Multi-Timeframe Insights
Quickly and easily pot divergences between timeframes.
Confirm trends across multiple time horizons.
Make better-informed trading decisions.
⚙️ Technical Specifications
Calculation Method
Base algorithm: Advanced ADX (Average Directional Index) with Directional Indicators.
Bias calculation: Normalized or raw DI difference with ADX weighting.
Smoothing options: Configurable periods for DI calculation and ADX smoothing.
Validation & Safety
Weight validation: Must total exactly 100% - prevents calculation errors.
Data integrity: Handles missing data and invalid symbols gracefully.
Timeframe validation: Prevents duplicate or invalid timeframe selections.
🚀 Perfect For
Currency traders seeking custom dollar/euro/yen/etc strength indices.
Commodity traders seeking custom precious metal/energy/etc strength indices.
Portfolio managers needing custom benchmark creation.
Macro traders building economic strength indicators.
Systematic traders requiring precise, repeatable index calculations.
📋 Quick Start
Add the indicator to your chart
Configure instruments: Select your desired symbols and weights (must total 100%).
Set timeframes: Choose additional timeframes for multi-timeframe analysis.
Customize display: Adjust colors, labels, and table settings to your preference.
Start trading: Use the index strength readings to guide your trading decisions.
⚠️ Important Notes
Weights must total exactly 100%: The indicator will show an error if weights don't add up correctly.
Data requirements: All selected instruments must have available data for the calculation to work.
Timeframe selection: Multi-timeframe analysis requires different timeframes from your main/selected chart.
Transform your trading with the power of custom index creation. Take control of your analysis and build indices that truly matter to your trading strategy.
Gold Z-Score Dashboard - 100-Bar Label Cleanup📌 Indicator Name:
Gold Z-Score Dashboard — 100-Bar Label Cleanup
🧾 Description:
This indicator leverages a statistical approach to detect overbought and oversold conditions using the Z-Score, a measure of price deviation from its moving average. It intelligently combines trend, volume, and volatility filters to reduce false signals and improve trading precision.
✅ Key Features:
Z-Score Logic: Highlights extreme price moves by comparing current price to its recent average, normalized by standard deviation.
Trend Filter (Optional): Uses a higher-timeframe EMA to confirm signals only in the trend direction.
Volume Filter (Optional): Confirms signals only when current volume exceeds its average, avoiding low-activity noise.
ATR Filter (Optional): Ensures signals occur during sufficient market volatility.
Label Cleanup: Each signal label is automatically removed after 100 bars to keep your chart organized.
Built-In Alerts: Get notified instantly when the market enters overbought or oversold zones.
🧠 How It Works:
The Z-Score is calculated as:
(Price−EMA)/StandardDeviation
When the Z-Score crosses below -threshold, an oversold (long) signal is generated.
When it crosses above +threshold, an overbought (short) signal is triggered.
Signals are filtered based on user settings:
✅ Trend must be aligned with higher timeframe EMA
✅ Volume must be above its moving average
✅ ATR must indicate adequate market movement
📈 Best Used For:
Spotting mean reversion opportunities
Avoiding false reversals with smart filters
Cleaner signal visualization via automatic label expiry
Auto Timeframe Period Separators v2
This script automatically plots vertical separator lines for multiple key timeframes — including 5-minute, 15-minute, 1-hour, 4-hour, daily, and weekly — to help you visually identify period boundaries on your charts.
Features:
Customizable enable/disable options for each timeframe separator
Adjustable line color, style (solid, dashed, dotted), and width per timeframe
Dynamic plotting based on the current chart timeframe to reduce clutter
Visibility controls allowing you to define the minimum and maximum chart timeframes where each separator is displayed
Use Cases:
Easily distinguish trading sessions, days, and weeks for better chart analysis
Quickly identify time period breaks across multiple scales
Enhance chart readability without manual adjustments
How to Use:
Enable or disable any timeframe separator according to your preference
Customize colors and styles to suit your chart theme
Adjust visibility ranges to control when separators appear, depending on your current chart timeframe
BTCUSD Multi TP Trade Signal📘 Indicator Description: BTCUSD Multi TP Trade Signal
This indicator is designed to generate high-quality Buy/Sell signals on BTCUSD, using a simple yet effective EMA crossover strategy. It visually plots all associated Take-Profit (TP) and Stop-Loss (SL) levels, allowing traders to plan and manage their trades with precision.
🔑 Key Features
✅ Trade Direction Control: Select to trade Long, Short, or Both directions
✅ Signal Generation: Uses EMA 20/50 crossover logic for trend confirmation
✅ Visual Trade Levels: Plots 4 customizable TP levels and a fixed SL on the chart
✅ Trend Filter Option: Align signals with higher timeframe (HTF) market direction
✅ User-Controlled Settings: Adjustable profit/stop targets and filtering logic
✅ Non-executing tool: Ideal for manual, visual, or alert-based trading
⚙️ Input Settings
Parameter Function
Strategy Direction Filters signals by direction (all, long, short)
Length of Filter Period for trend filter (SMA) on HTF
Candle Time Resolution for time-based conditions
Length of ATR ATR period for potential future enhancements
HTF Higher Time Frame (e.g., Weekly) for trend alignment
Use Filter Toggle the HTF filter ON/OFF
Stop Loss Fixed SL in USD
Take Profit 1–4 TP levels in USD from entry price
📊 How It Works
A Buy signal is plotted when EMA 20 crosses above EMA 50 and other conditions are met.
A Sell signal is plotted when EMA 20 crosses below EMA 50.
Each trade signal includes clearly marked TP1, TP2, TP3, TP4, and SL levels.
Optional HTF trend filter ensures signals align with the broader market trend.
🧠 Best Use Cases
Works best on 15-minute to 1-hour BTCUSD charts
Ideal for trend-following intraday or swing trading
Use with confluence (volume, price action, or key levels) for best results
CGPT Golden Cross / Death Cross AlertThis custom indicator identifies Golden Cross (Gx) and Death Cross (Dx) events using either EMA or SMA moving averages. A Golden Cross occurs when a short-term MA (e.g., 50) crosses above a long-term MA (e.g., 200), signaling potential bullish momentum. A Death Cross signals potential bearish momentum, with the short-term MA crossing below the long-term MA.
It includes:
📈 Customizable MA types (EMA or SMA)
⚙️ Adjustable fast & slow MA lengths
🟢🔴 Chart labels for Gx (green) and Dx (red)
🎯 Background highlights for visual trend shifts
🔔 Built-in alert conditions for real-time notifications
Ideal for crypto, stocks, or forex swing and trend trading
Distrodisco_v1.4What it does:
Defines a “distribution session” (customizable time window) and tracks that session’s high/low to compute its distribution width as a percentage.
Compares the current session’s distribution to historical same-day-of-week distributions to detect when it crosses above the median (i.e., a meaningful breakout in context).
Tags the breakout direction (long or short) based on wick extremes and prior-session pivots.
After a tagged break, tracks the pullback/retrace: how far price reverses back toward the tag (used for SL tuning).
Simultaneously measures how far price extends beyond the break before the retrace begins—this “extension before retrace” can be used to calibrate realistic take-profit targets.
Maintains historical accumulators for both retrace sizes and extensions so you can see distributions over time.
Key metrics shown in the table:
Total Days / Median Hits : Coverage of historical samples and how often distribution crosses its median.
Pullback Rate: Percentage of median breaks that produced a pullback (including live/active ones if the session ends mid-retrace).
Current / Historical Distribution Stats: Current session’s width vs. historical median/average for that weekday.
Reversion Ret (revAbs): The largest pullback after a break (live for the session), used as a de-facto stop-loss gauge.
Hist Median Ret: Median of completed historical retraces (and active ones at session end if not closed).
90%ile Ret: Upper-bound reference for retrace size—what the larger retraces look like.
>= X% PBs: User-defined threshold (e.g., enter 0.05 for 0.05%) showing the percentage of historical retraces that met or exceeded that magnitude.
Extension Median / 90%ile / Last Ext: How far price typically runs past the break before reversing—used for take-profit calibration. (If not yet enabled, these are forthcoming additions.)
Inputs:
Distribution Session / Timezone: Define the intra-day window to consider for distribution measurement.
Max Distribution % to Include: Caps abnormally wide distributions from polluting historical buckets.
Filter Out Abnormally Large Days: Toggle to exclude outliers.
Min Pullback to Count (%): Threshold to count “meaningful” retraces in the historical percentage bucket. Enter e.g. 0.05 to represent 0.05%.
Table styling: Color and positioning for easy visibility.
EPS+Sales+Net Profit+MCap+Sector & Industry📄 Full Description
This script displays a comprehensive financial data panel directly on your TradingView chart, helping long-term investors and swing traders make informed decisions based on fundamental trends. It consolidates key financial metrics and business classification data into a single, visually clear table.
🔍 Key Features:
🧾 Financial Metrics (Auto-Fetched via request.financial):
EPS (Earnings Per Share) – Displayed with trend direction (QoQ or YoY).
Sales / Revenue – In ₹ Crores (for Indian stocks), trend change also included.
Net Profit – Also in ₹ Crores, along with percentage change.
Market Cap – Automatically calculated using outstanding shares × price, shown in ₹ Cr.
Free Float Market Cap – Based on float shares × price, also in ₹ Cr.
🏷️ Sector & Industry Info:
Automatically identifies and displays the Sector and Industry of the stock using syminfo.sector and syminfo.industry.
Displayed inline with metrics, making it easy to know what business the stock belongs to.
📊 Table View:
Compact and responsive table shown on your chart.
Columns: Date | EPS | QoQ | Sales | QoQ | Net Profit | QoQ | Metrics
Metrics column dynamically shows:
Market Cap
Free Float
Sector (Row 4)
Industry (Row 5)
🌗 Appearance:
Supports Dark Mode and Mini Mode toggle.
You can also customize:
Number of data points (last 4+ quarters or years)
Table position and size
🎯 Use Case:
This script is ideal for:
Fundamental-focused traders who use EPS/Sales trends to identify momentum.
Swing traders who combine price action with fundamental tailwinds.
Portfolio builders who want to see sector/industry alignment quickly.
It works best with fundamentally sound stocks where earnings and profitability are a major factor in price movements.
✅ Important Notes:
Script uses request.financial which only works with supported symbols (mostly stocks).
Market Cap and Free Float are calculated in ₹ Crores.
All financial values are rounded and formatted for readability (e.g., 1,234 Cr).
🙏 Credits:
Developed and published by Sameer Thorappa
Built with a clean, minimalist approach for high readability and functionality.
High/Low Premarket & Previous Day This scripts adds lines for previous day and premarket high/low with labels that you can toggle on and off. The lines extend through current premarket and trading session
Gold Multi TP Strategy📘 Strategy Description: Gold Multi Take-Profit Strategy (XAUUSD)
This strategy is designed for Gold (XAUUSD) and works on any timeframe (recommended: 15-min or higher). It executes trades based on a simple EMA crossover logic with optional higher-timeframe and ATR-based filters to confirm trend direction and volatility.
🔑 Core Features
✅ Directional control: Trade only long, short, or both directions (Strategy Direction)
✅ Multi-level Take Profit: Scale out at up to 4 configurable profit targets
✅ Fixed Stop Loss: Set custom SL distance for risk control
✅ Position Sizing: Allocate different percentages to each TP level
✅ HTF Trend Filter (optional): Align trades with weekly candle trend
✅ ATR Filter (optional): Improve entries with volatility-based filter
⚙️ Inputs Explained
Input Name Function
Strategy Direction Choose to trade all, long, or short only
Length of Filter Length of the moving average used for HTF trend filter
Candle Time Reference candle timeframe in minutes (e.g., 1440 for daily)
Length of ATR Period for ATR calculation (volatility)
HTF Higher timeframe for filter (e.g., 1 week)
Filter Checkbox Enable/disable trend filter
Stop Loss Fixed SL distance in price units
Qty_percent1-3 % of position allocated to TP1–TP3 (rest goes to TP4)
Take profit1–4 TP levels (in price units) from entry price
🧠 Logic Overview
Entry triggered on EMA 20/50 crossover
Optional filter: entry allowed only if current price is above its HTF MA (bullish) or below (bearish)
Position is scaled out at up to 4 profit levels using different qty_percent
SL remains fixed throughout the trade
📊 Best Use
Intraday trading on XAUUSD, ideally during London/NY sessions
Trending or breakout conditions
Works best with additional confluence (price action, S/R, news)
TotM - BTC Price Momentum (30-day)🇬🇧 ENGLISH VERSION
A simple and effective 30-day momentum indicator for Bitcoin.
This indicator calculates the 30-day price momentum of Bitcoin, expressed as a percentage change from the closing price 30 bars ago. It's a lightweight and visual tool to assess short-term strength or overheating of price movements.
🟦 Blue = positive momentum
🔴 Red = overheated (> +40%)
⚫ Gray = negative momentum
Reference lines at 0% and 40% mark equilibrium and overbought zones.
Feel free to customize it for other assets or timeframes.
For educational use only – not financial advice.
Recession Warning Model [BackQuant]Recession Warning Model
Overview
The Recession Warning Model (RWM) is a Pine Script® indicator designed to estimate the probability of an economic recession by integrating multiple macroeconomic, market sentiment, and labor market indicators. It combines over a dozen data series into a transparent, adaptive, and actionable tool for traders, portfolio managers, and researchers. The model provides customizable complexity levels, display modes, and data processing options to accommodate various analytical requirements while ensuring robustness through dynamic weighting and regime-aware adjustments.
Purpose
The RWM fulfills the need for a concise yet comprehensive tool to monitor recession risk. Unlike approaches relying on a single metric, such as yield-curve inversion, or extensive economic reports, it consolidates multiple data sources into a single probability output. The model identifies active indicators, their confidence levels, and the current economic regime, enabling users to anticipate downturns and adjust strategies accordingly.
Core Features
- Indicator Families : Incorporates 13 indicators across five categories: Yield, Labor, Sentiment, Production, and Financial Stress.
- Dynamic Weighting : Adjusts indicator weights based on recent predictive accuracy, constrained within user-defined boundaries.
- Leading and Coincident Split : Separates early-warning (leading) and confirmatory (coincident) signals, with adjustable weighting (default 60/40 mix).
- Economic Regime Sensitivity : Modulates output sensitivity based on market conditions (Expansion, Late-Cycle, Stress, Crisis), using a composite of VIX, yield-curve, financial conditions, and credit spreads.
- Display Options : Supports four modes—Probability (0-100%), Binary (four risk bins), Lead/Coincident, and Ensemble (blended probability).
- Confidence Intervals : Reflects model stability, widening during high volatility or conflicting signals.
- Alerts : Configurable thresholds (Watch, Caution, Warning, Alert) with persistence filters to minimize false signals.
- Data Export : Enables CSV output for probabilities, signals, and regimes, facilitating external analysis in Python or R.
Model Complexity Levels
Users can select from four tiers to balance simplicity and depth:
1. Essential : Focuses on three core indicators—yield-curve spread, jobless claims, and unemployment change—for minimalistic monitoring.
2. Standard : Expands to nine indicators, adding consumer confidence, PMI, VIX, S&P 500 trend, money supply vs. GDP, and the Sahm Rule.
3. Professional : Includes all 13 indicators, incorporating financial conditions, credit spreads, JOLTS vacancies, and wage growth.
4. Research : Unlocks all indicators plus experimental settings for advanced users.
Key Indicators
Below is a summary of the 13 indicators, their data sources, and economic significance:
- Yield-Curve Spread : Difference between 10-year and 3-month Treasury yields. Negative spreads signal banking sector stress.
- Jobless Claims : Four-week moving average of unemployment claims. Sustained increases indicate rising layoffs.
- Unemployment Change : Three-month change in unemployment rate. Sharp rises often precede recessions.
- Sahm Rule : Triggers when unemployment rises 0.5% above its 12-month low, a reliable recession indicator.
- Consumer Confidence : University of Michigan survey. Declines reflect household pessimism, impacting spending.
- PMI : Purchasing Managers’ Index. Values below 50 indicate manufacturing contraction.
- VIX : CBOE Volatility Index. Elevated levels suggest market anticipation of economic distress.
- S&P 500 Growth : Weekly moving average trend. Declines reduce wealth effects, curbing consumption.
- M2 + GDP Trend : Monitors money supply and real GDP. Simultaneous declines signal credit contraction.
- NFCI : Chicago Fed’s National Financial Conditions Index. Positive values indicate tighter conditions.
- Credit Spreads : Proxy for corporate bond spreads using 10-year vs. 2-year Treasury yields. Widening spreads reflect stress.
- JOLTS Vacancies : Job openings data. Significant drops precede hiring slowdowns.
- Wage Growth : Year-over-year change in average hourly earnings. Late-cycle spikes often signal economic overheating.
Data Processing
- Rate of Change (ROC) : Optionally applied to capture momentum in data series (default: 21-bar period).
- Z-Score Normalization : Standardizes indicators to a common scale (default: 252-bar lookback).
- Smoothing : Applies a short moving average to final signals (default: 5-bar period) to reduce noise.
- Binary Signals : Generated for each indicator (e.g., yield-curve inverted or PMI below 50) based on thresholds or Z-score deviations.
Probability Calculation
1. Each indicator’s binary signal is weighted according to user settings or dynamic performance.
2. Weights are normalized to sum to 100% across active indicators.
3. Leading and coincident signals are aggregated separately (if split mode is enabled) and combined using the specified mix.
4. The probability is adjusted by a regime multiplier, amplifying risk during Stress or Crisis regimes.
5. Optional smoothing ensures stable outputs.
Display and Visualization
- Probability Mode : Plots a continuous 0-100% recession probability with color gradients and confidence bands.
- Binary Mode : Categorizes risk into four levels (Minimal, Watch, Caution, Alert) for simplified dashboards.
- Lead/Coincident Mode : Displays leading and coincident probabilities separately to track signal divergence.
- Ensemble Mode : Averages traditional and split probabilities for a balanced view.
- Regime Background : Color-coded overlays (green for Expansion, orange for Late-Cycle, amber for Stress, red for Crisis).
- Analytics Table : Optional dashboard showing probability, confidence, regime, and top indicator statuses.
Practical Applications
- Asset Allocation : Adjust equity or bond exposures based on sustained probability increases.
- Risk Management : Hedge portfolios with VIX futures or options during regime shifts to Stress or Crisis.
- Sector Rotation : Shift toward defensive sectors when coincident signals rise above 50%.
- Trading Filters : Disable short-term strategies during high-risk regimes.
- Event Timing : Scale positions ahead of high-impact data releases when probability and VIX are elevated.
Configuration Guidelines
- Enable ROC and Z-score for consistent indicator comparison unless raw data is preferred.
- Use dynamic weighting with at least one economic cycle of data for optimal performance.
- Monitor stress composite scores above 80 alongside probabilities above 70 for critical risk signals.
- Adjust adaptation speed (default: 0.1) to 0.2 during Crisis regimes for faster indicator prioritization.
- Combine RWM with complementary tools (e.g., liquidity metrics) for intraday or short-term trading.
Limitations
- Macro indicators lag intraday market moves, making RWM better suited for strategic rather than tactical trading.
- Historical data availability may constrain dynamic weighting on shorter timeframes.
- Model accuracy depends on the quality and timeliness of economic data feeds.
Final Note
The Recession Warning Model provides a disciplined framework for monitoring economic downturn risks. By integrating diverse indicators with transparent weighting and regime-aware adjustments, it empowers users to make informed decisions in portfolio management, risk hedging, or macroeconomic research. Regular review of model outputs alongside market-specific tools ensures its effective application across varying market conditions.
Simple Trading ChecklistCustomisable Simple Trading Checklist
This script overlays a fully customizable trading checklist directly onto your chart, providing an at-a-glance reminder of key trading steps and conditions before entering a position.
It is especially useful for discretionary or rule-based traders who want a consistent on-screen process to follow.
Seasonal Extreme ZonesTrue Seasonal Overlay Chart with Historical Bias
📊 Overview
This innovative Pine Script indicator combines true seasonal overlay visualization with historical bias analysis to provide traders with powerful seasonal trading insights. Unlike traditional seasonal charts that display years chronologically, this indicator overlays multiple years on the same seasonal axis (January-December) for direct pattern comparison.
🎯 Key Features
📈 True Seasonal Overlay
Multi-year Performance Lines: Display 2022, 2023, and 2024 performance on the same seasonal timeline
Year-to-Date Calculation: Each year starts at 0% on January 1st, showing cumulative performance
Real Seasonal Comparison: All years aligned to the same calendar position for accurate pattern recognition
Customizable Display: Toggle individual years on/off as needed
🔍 Historical Bias System
Configurable Timeframe: Analyze 5-25 years of seasonal data
Market-Specific Data: Realistic seasonality patterns for each asset class
Smart Bias Calculation: Adjusts extreme values based on historical depth
Automatic Inversion: Handles inverse pairs (JPY, CHF, CAD, DXY) automatically
💹 Multi-Asset Support
Forex Pairs: EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD, DXY
Commodities: Gold, Silver, Crude Oil, Natural Gas, Copper, Agricultural products
Indices: DE40 (DAX), SPX500, NASDAQ100, US30, UK100, Nikkei, ASX200, EUROSTOXX50
🛠️ How It Works
Data Collection
Price Tracking: Captures January 1st starting prices for each year
Performance Calculation: Calculates year-to-date percentage performance
Seasonal Mapping: Maps each data point to its corresponding seasonal day
Array Storage: Stores performance data in organized arrays by year
Seasonal Overlay Logic
Interpolation: Finds nearest seasonal performance for current calendar position
True Overlay: Displays all years simultaneously on the same seasonal axis
Pattern Recognition: Enables direct visual comparison of seasonal behaviors
Historical Bias Engine
Asset-Specific Data: Uses realistic seasonal probabilities for each market
Years Adjustment: Moderates extreme values based on historical timeframe
Bias Calculation: Generates percentage-based seasonal bias (0-100%)
Signal Generation: Creates Strong Bull/Bear signals based on thresholds
📊 Visual Elements
Plot Lines
Blue Line (2024): Current year performance - thick line, most prominent
Red Line (2023): Previous year comparison - medium thickness
Purple Line (2022): Two years ago reference - medium thickness
Orange Line (Historical Bias): Long-term seasonal bias - thick, distinct
Threshold Levels
Strong Bull Line: Configurable bullish threshold (default: 70%)
Strong Bear Line: Configurable bearish threshold (default: 30%)
Neutral Line: 50% reference level
Zero Line: 0% performance reference
Background Colors
Green Background: Strong Long Bias periods
Red Background: Strong Short Bias periods
Transparent: Neutral periods
🎯 Trading Applications
Pattern Recognition
Seasonal Consistency: Identify repeating seasonal patterns across years
Divergence Analysis: Spot when current year deviates from historical norms
Trend Confirmation: Use seasonal bias to confirm directional trades
Bias-Based Trading
Strong Long Bias (>70%): Favor long setups, avoid shorts
Strong Short Bias (<30%): Favor short setups, avoid longs
Neutral Zones (30-70%): Focus on technical analysis over seasonal bias
Risk Management
Seasonal Headwinds: Reduce position sizes during unfavorable seasons
Seasonal Tailwinds: Consider larger positions during favorable periods
Entry Timing: Use seasonal overlay to time entries within trend direction
⚙️ Configuration Options
Display Settings
Year Selection: Toggle 2022, 2023, 2024 displays individually
Historical Bias Years: Configure 5-25 years for bias calculation
Threshold Levels: Customize Strong Bull/Bear threshold percentages
Visual Elements: Toggle table, backgrounds, and bias line
Asset Selection
Forex Group: Select from major currency pairs
Commodity Group: Choose from metals, energy, and agricultural products
Index Group: Pick from major global stock indices
Color Customization
Year Colors: Customize colors for each year line
Bias Color: Set historical bias line color
Background Colors: Configure Strong Bull/Bear background colors
📋 Information Panel
The indicator includes a comprehensive information table showing:
Current Asset: Selected instrument with inversion status
Monthly Status: Current month with bias direction and strength
Bias Percentage: Numerical historical bias value
Configuration: Active years and threshold settings
Seasonality Note: Indicates if data is inverted for certain pairs
🚀 Unique Advantages
True Seasonal Comparison: Unlike traditional charts, enables direct year-over-year seasonal comparison
Market-Specific Data: Uses realistic seasonal patterns based on actual market drivers
Automated Handling: Manages complex calculations and data interpolation automatically
Flexible Timeframes: Adapts historical bias calculation to user preferences
Professional Visualization: Clean, intuitive display suitable for all experience levels
💡 Best Practices
Combine with Technical Analysis: Use seasonal bias to filter trade direction, not as standalone signals
Consider Market Regime: Factor in current market conditions and volatility
Multiple Timeframe Analysis: Confirm seasonal bias on different chart timeframes
Risk Management: Always use appropriate position sizing regardless of seasonal bias
This indicator transforms seasonal analysis from static historical data into dynamic, actionable trading intelligence through innovative visualization and robust bias calculation methodology.
COT-Wallstreetstory OANDA Edition🔥 COT Wallstreetstory OANDA Edition - Professional COT Analysis Tool
This indicator provides comprehensive Commitment of Traders (COT) analysis across multiple asset classes with advanced signal generation for both long-term and intraday trading strategies.
🌟 KEY FEATURES:
✅ Multi-Asset Support:
- Forex: EUR, GBP, JPY, CHF, AUD, CAD, NZD, MXN
- Commodities: Gold, Silver, Crude Oil, Natural Gas, Copper, Grains
- Indices: S&P 500, Nasdaq, Dow Jones, Russell 2000, VIX
- Custom: Enter any CFTC code manually
✅ Smart Currency Inversion:
- Automatic data inversion for JPY, CHF, CAD, MXN pairs
- Shows "ORIGINAL" vs "INVERTED" display mode
- No more confusion with inverse correlations
✅ Dual Signal System:
- Long-term Signals: For W1/D1 swing trading
- Intraday Bias: For H4 setup → M15 entry strategies
- Visual backgrounds indicate signal strength
✅ Extreme Zones:
- Horizontal extreme zones with market-specific recommendations
- Customizable thresholds for each asset class
- Visual alerts when COT data reaches extreme levels
✅ Professional Visualization:
- Clean, emoji-free interface for serious traders
- Sensitivity arrows: ↑↑↑ Conservative, ↑↑ Normal, ↓ Aggressive
- Color-coded display modes and signal status
🎯 TRADING APPLICATIONS:
📈 Long-term Strategy:
Monitor when Commercials reach extreme positions and Non-Commercials follow. Perfect for identifying major trend reversals on weekly/daily charts.
⚡ Intraday Strategy:
Use Non-Commercial and Retail positioning relative to recent weeks to determine directional bias for H4 liquidity sweeps and M15 entries.
🔧 CUSTOMIZATION:
- Adjustable extreme thresholds for each market
- Three sensitivity levels for signal generation
- Customizable colors and line styles
- Optional info table with current market status
📊 TECHNICAL DETAILS:
- Uses TradingView's official COT Library
- Weekly COT data from CFTC reports
- Supports all major OANDA trading pairs
- Compatible with any timeframe (recommended: M15-D1)
⚠️ IMPORTANT NOTE:
This indicator displays COT data from CME futures markets. While trading OANDA spot markets, you're analyzing the underlying futures sentiment which drives institutional positioning.
Perfect for professional traders who understan
EMA Trend Confirmation with Alerts此脚本是基于EMA 200周期 50周期 20周期加以合并并进行改进的一个脚本指标，主要作用是用于观察趋势走向，其中有上升下降和震荡趋势，经过多数测试，此指标适用于短线交易，推荐周期为20或15，大周期和长线交易详见RSI+EMA结合指标
This script is an improved script indicator based on the EMA 200 period, 50 period, and 20 period. Its main function is to observe the trend direction, including up, down, and oscillating trends. After many tests, this indicator is suitable for short-term trading, and the recommended period is 20 or 15. For large-cycle and long-term trading, please refer to the RSI+EMA combination indicator.
FEDFUNDS Rate Divergence Oscillator [BackQuant]FEDFUNDS Rate Divergence Oscillator
1. Concept and Rationale
The United States Federal Funds Rate is the anchor around which global dollar liquidity and risk-free yield expectations revolve. When the Fed hikes, borrowing costs rise, liquidity tightens and most risk assets encounter head-winds. When it cuts, liquidity expands, speculative appetite often recovers. Bitcoin, a 24-hour permissionless asset sometimes described as “digital gold with venture-capital-like convexity,” is particularly sensitive to macro-liquidity swings.
The FED Divergence Oscillator quantifies the behavioural gap between short-term monetary policy (proxied by the effective Fed Funds Rate) and Bitcoin’s own percentage price change. By converting each series into identical rate-of-change units, subtracting them, then optionally smoothing the result, the script produces a single bounded-yet-dynamic line that tells you, at a glance, whether Bitcoin is outperforming or underperforming the policy backdrop—and by how much.
2. Data Pipeline
• Fed Funds Rate – Pulled directly from the FRED database via the ticker “FRED:FEDFUNDS,” sampled at daily frequency to synchronise with crypto closes.
• Bitcoin Price – By default the script forces a daily timeframe so that both series share time alignment, although you can disable that and plot the oscillator on intraday charts if you prefer.
• User Source Flexibility – The BTC series is not hard-wired; you can select any exchange-specific symbol or even swap BTC for another crypto or risk asset whose interaction with the Fed rate you wish to study.
3. Math under the Hood
(1) Rate of Change (ROC) – Both the Fed rate and BTC close are converted to percent return over a user-chosen lookback (default 30 bars). This means a cut from 5.25 percent to 5.00 percent feeds in as –4.76 percent, while a climb from 25 000 to 30 000 USD in BTC over the same window converts to +20 percent.
(2) Divergence Construction – The script subtracts the Fed ROC from the BTC ROC. Positive values show BTC appreciating faster than policy is tightening (or falling slower than the rate is cutting); negative values show the opposite.
(3) Optional Smoothing – Macro series are noisy. Toggle “Apply Smoothing” to calm the line with your preferred moving-average flavour: SMA, EMA, DEMA, TEMA, RMA, WMA or Hull. The default EMA-25 removes day-to-day whips while keeping turning points alive.
(4) Dynamic Colour Mapping – Rather than using a single hue, the oscillator line employs a gradient where deep greens represent strong bullish divergence and dark reds flag sharp bearish divergence. This heat-map approach lets you gauge intensity without squinting at numbers.
(5) Threshold Grid – Five horizontal guides create a structured regime map:
• Lower Extreme (–50 pct) and Upper Extreme (+50 pct) identify panic capitulations and euphoria blow-offs.
• Oversold (–20 pct) and Overbought (+20 pct) act as early warning alarms.
• Zero Line demarcates neutral alignment.
4. Chart Furniture and User Interface
• Oscillator fill with a secondary DEMA-30 “shader” offers depth perception: fat ribbons often precede high-volatility macro shifts.
• Optional bar-colouring paints candles green when the oscillator is above zero and red below, handy for visual correlation.
• Background tints when the line breaches extreme zones, making macro inflection weeks pop out in the replay bar.
• Everything—line width, thresholds, colours—can be customised so the indicator blends into any template.
5. Interpretation Guide
Macro Liquidity Pulse
• When the oscillator spends weeks above +20 while the Fed is still raising rates, Bitcoin is signalling liquidity tolerance or an anticipatory pivot view. That condition often marks the embryonic phase of major bull cycles (e.g., March 2020 rebound).
• Sustained prints below –20 while the Fed is already dovish indicate risk aversion or idiosyncratic crypto stress—think exchange scandals or broad flight to safety.
Regime Transition Signals
• Bullish cross through zero after a long sub-zero stint shows Bitcoin regaining upward escape velocity versus policy.
• Bearish cross under zero during a hiking cycle tells you monetary tightening has finally started to bite.
Momentum Exhaustion and Mean-Reversion
• Touches of +50 (or –50) come rarely; they are statistically stretched events. Fade strategies either taking profits or hedging have historically enjoyed positive expectancy.
• Inside-bar candlestick patterns or lower-timeframe bearish engulfings simultaneously with an extreme overbought print make high-probability short scalp setups, especially near weekly resistance. The same logic mirrors for oversold.
Pair Trading / Relative Value
• Combine the oscillator with spreads like BTC versus Nasdaq 100. When both the FED Divergence oscillator and the BTC–NDQ relative-strength line roll south together, the cross-asset confirmation amplifies conviction in a mean-reversion short.
• Swap BTC for miners, altcoins or high-beta equities to test who is the divergence leader.
Event-Driven Tactics
• FOMC days: plot the oscillator on an hourly chart (disable ‘Force Daily TF’). Watch for micro-structural spikes that resolve in the first hour after the statement; rapid flips across zero can front-run post-FOMC swings.
• CPI and NFP prints: extremes reached into the release often mean positioning is one-sided. A reversion toward neutral in the first 24 hours is common.
6. Alerts Suite
Pre-bundled conditions let you automate workflows:
• Bullish / Bearish zero crosses – queue spot or futures entries.
• Standard OB / OS – notify for first contact with actionable zones.
• Extreme OB / OS – prime time to review hedges, take profits or build contrarian swing positions.
7. Parameter Playground
• Shorten ROC Lookback to 14 for tactical traders; lengthen to 90 for macro investors.
• Raise extreme thresholds (for example ±80) when plotting on altcoins that exhibit higher volatility than BTC.
• Try HMA smoothing for responsive yet smooth curves on intraday charts.
• Colour-blind users can easily swap bull and bear palette selections for preferred contrasts.
8. Limitations and Best Practices
• The Fed Funds series is step-wise; it only changes on meeting days. Rapid BTC oscillations in between may dominate the calculation. Keep that perspective when interpreting very high-frequency signals.
• Divergence does not equal causation. Crypto-native catalysts (ETF approvals, hack headlines) can overwhelm macro links temporarily.
• Use in conjunction with classical confirmation tools—order-flow footprints, market-profile ledges, or simple price action to avoid “pure-indicator” traps.
9. Final Thoughts
The FEDFUNDS Rate Divergence Oscillator distills an entire macro narrative monetary policy versus risk sentiment into a single colourful heartbeat. It will not magically predict every pivot, yet it excels at framing market context, spotting stretches and timing regime changes. Treat it as a strategic compass rather than a tactical sniper scope, combine it with sound risk management and multi-factor confirmation, and you will possess a robust edge anchored in the world’s most influential interest-rate benchmark.
Trade consciously, stay adaptive, and let the policy-price tension guide your roadmap.
Mereks Wick Theory🚨 Wick Precision Zones – Top & Bottom Sniper
📈 Timeframes: 1H & 4H | 🔍 Powered by Smart Wick Logic + FVG Detection
Mark the exact 50% of key wicks where smart money reacts.
This advanced indicator auto-detects Fair Value Gaps (FVGs), Order Blocks, and liquidity zones, then highlights precision reversal levels with color-coded lines (🔴 short / 🟢 long).
✅ Alerts before and when price hits the zone
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