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Mag7 + SPY Multi-Decade Seasonality📊 Overview The Mag7 + SPY Seasonal Dashboard tracks historical monthly seasonality across the Magnificent 7 (AAPL, MSFT, AMZN, NVDA, GOOGL, META, TSLA) and the SPY benchmark. It dynamically pulls monthly timeframe data (1M) for the current calendar month and calculates multi-period historical metrics over 10-Year and 20-Year lookback windows. ⚙️ Key Tracked Metrics: - Avg Return (Avg): Average historical percentage return for the current calendar month. - Win Rate (Pos%): Percentage of histo
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SadashiTradingの投稿
Planting & Harvesting Seasons V1.1Overview As a commodity trader, seasonal patterns play a big role in my analysis. This script visually overlays the typical planting and harvesting periods for key agricultural futures directly on the chart. It automatically detects the underlying commodity based on the symbol (e.g. ZC, ZW, ZS, CT) and displays color-coded zones for each seasonal window. These zones are based on historical crop calendars and help identify when planting or harvesting typically takes place, so technical setups c
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DerAndi72の投稿
Weekday Return Distribution [Pineify]Weekday Return Distribution Overview This day-of-week seasonality indicator keeps bounded samples for all seven days on 1D-1W charts. It reports median return, interquartile range (IQR), positive-return rate, and sample count. Problem Definition A weekday mean can be raised by one extreme gap even when most observations are negative. The same mean can describe a tight cluster or a wide distribution, and it does not reveal whether the sample has six cases or sixty. This creates false prec
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Pineifyの投稿
Hourly Alpha Profile Terminal [The Quant Science]Hourly Alpha Profile Terminal is an advanced quantitative analysis tool developed for the TradingView platform, designed for traders operating on intraday timeframes up to 60 minutes. Its main goal is to unveil the hidden structure of price volatility and directionality on an hourly basis , focusing on a specific day of the week chosen by the user. Instead of relying on traditional momentum indicators, this script historically maps market behavior hour by hour, calculating win rates and ri
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thequantscienceの投稿
1
Bias Detector Terminal [The Quant Science]Bias Detector Terminal is a quantitative analysis tool designed to identify day-of-week statistical bias and seasonality. By calculating the historical frequency of bullish closes for each trading day, the terminal provides a clear picture of directional market probabilities. 🔷 What it does The indicator analyzes daily price history to calculate: Bullish Ratio: The number of bullish sessions (close > open) relative to total historical bars for each day of the week (Monday to Sund
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thequantscienceの投稿
Seasonality (10Y vs 20Y Swing)Introducing Seasonality (10Y vs 20Y Swing), a professional-grade indicator designed to analyze monthly seasonal behavior across a dual 10-year and 20-year analytical window. Unlike traditional seasonal heatmaps that lump all historical data together statically, this script segments core metrics to evaluate how market cycles evolve across medium and long-term horizons. ⚙️ Key Features: - Dynamic Heatmap Matrix: Visualizes year-by-year percentage returns for every month, featuring an adaptiv
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SadashiTradingの投稿
Event Probability Engine [Quantum Algo]Event Probability Engine ==================================================== 🔶 OVERVIEW Event Probability Engine is a statistical probability indicator that answers one question at the close of every bar: based on the measurable conditions active right now, what is the historical probability that price closes higher one, three, and five days from today? Instead of subjective pattern reading, the script builds and maintains a live rolling database of forward returns conditioned on eighteen o
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Quantum-Algoの投稿
Seasonality: Forex Indices [invincible3]Seasonality: Forex Index Seasonality: Forex Index is a visual seasonality dashboard designed to help traders analyze historical yearly patterns across major currency indexes. The indicator displays compact 365-day seasonal mini charts directly on the price chart. Each currency index is shown in its own separate panel, allowing traders to quickly compare seasonal strength, weakness, turning points, and recurring calendar-based tendencies throughout the year. Included forex indexes: • Aust
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invincible3の投稿
COT-Trader Seasonality - Indexed Geometric PathCOT-Trader Seasonality is a visual research indicator designed to study seasonal tendencies in futures, commodities, indices and other markets. The script focuses on one specific question: How has a market typically behaved throughout the calendar year when historical years are compared on a normalized basis? Instead of averaging raw historical prices, the indicator indexes each historical year to a base value of 100 at the first available trading day of that year. This makes different years
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DerAndi72の投稿
2
Performance Comparison (Zeiierman)█ Overview Performance Comparison (Zeiierman) is a period-mapping comparison engine that shows how the current month, quarter, or year is evolving relative to its historical structure. It takes completed historical periods, compresses each into a normalized timeline, and overlays them on the active period so you can compare paths, pace, expansion, and finish. Instead of only asking where the price is now, the script asks how this period is behaving relative to past periods at the same stage
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Zeiiermanの投稿
3
Quant Seasonality ProQuant Seasonality Pro (QuantSeaz) Quant Seasonality Pro is a data-driven seasonal projection tool that extracts historical day-of-year return patterns and transforms them into a forward-looking price curve. Using log returns, cycle filters, and volatility-based scaling (ATR), it generates a dynamically anchored seasonal roadmap directly on your chart. The indicator allows you to switch between Trading Days (stocks/forex) and Calendar Days (crypto), apply U.S. election cycle filters, and analyz
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dinisfranco2006の投稿
3
Seasonality (100% reliable for the W)Quant Seasonality Pro (QuantSeaz) Quant Seasonality Pro is a data-driven seasonal projection tool that extracts historical day-of-year return patterns and transforms them into a forward-looking price curve. Using log returns, cycle filters, and volatility-based scaling (ATR), it generates a dynamically anchored seasonal roadmap directly on your chart. The indicator allows you to switch between Trading Days (stocks/forex) and Calendar Days (crypto), apply U.S. election cycle filters, and analyz
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dinisfranco2006の投稿
Seasonality (Prev Month Close Expected)Seasonality Indicator This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns. The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance ac
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Market_Atlasの投稿
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price. The script works the following way: Aligns past years to today’s calendar date Normalizes all paths to the last close at the start Projects historical performance X bars forward Displays each year as a separate performance path Calculates and plots the mean (average) projection for quick referen
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QuantNomadの投稿
Volume Surprise [LuxAlgo]The Volume Surprise tool displays the trading volume alongside the expected volume at that time, allowing users to spot unexpected trading activity on the chart easily. The tool includes an extrapolation of the estimated volume for future periods, allowing forecasting future trading activity. 🔶 USAGE We define Volume Surprise as a situation where the actual trading volume deviates significantly from its expected value at a given time. Being able to determine if trading activity is high
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LuxAlgoの投稿
10
Seasonal Pattern DecoderSeasonal Pattern Decoder The Seasonal Pattern Decoder is a powerful tool designed for traders and analysts who want to uncover and leverage seasonal tendencies in financial markets. Instead of cluttering your chart with complex visuals, this indicator presents a clean, intuitive table that summarizes historical monthly performance, allowing you to spot recurring patterns at a glance. How It Works The indicator fetches historical monthly data for any symbol and calculates the percentage ret
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dchunt-stackの投稿
3
Daily Seasonality Strength + Prediction TableDaily Seasonality Strength + Prediction Table Return Estimates: This indicator uses historical price data to calculate average returns for each day (of the week or month) and uses these to predict the next day’s return. Seasonality Strength: It measures seasonality strength by comparing predicted returns with actual returns, using the inverse of MSE (higher values mean stronger seasonality). supports up to 10 assets This script is for informational and educational purposes only. It
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Hutmacher42の投稿
Bitcoin Monthly Seasonality [Alpha Extract]The Bitcoin Monthly Seasonality indicator analyzes historical Bitcoin price performance across different months of the year, enabling traders to identify seasonal patterns and potential trading opportunities. This tool helps traders: Visualize which months historically perform best and worst for Bitcoin. Track average returns and win rates for each month of the year. Identify seasonal patterns to enhance trading strategies. Compare cumulative or individual monthly performance. 🔶 CALCUL
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AlphaExtractの投稿
5
[COG]S&P 500 Weekly Seasonality ProjectionS&P 500 Weekly Seasonality Projection This indicator visualizes S&P 500 seasonality patterns based on historical weekly performance data. It projects price movements for up to 26 weeks ahead, highlighting key seasonal periods that have historically affected market performance. Key Features: Projects price movements based on historical S&P 500 weekly seasonality patterns (2005-2024) Highlights six key seasonal periods: Jan-Feb Momentum, March Lows, April-May Strength, Summer Strength, September
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CognitiveAlphaの投稿
[COG]Nasdaq Weekly Seasonality ProjectionNasdaq Weekly Seasonality Projection This indicator provides a visualization of Nasdaq seasonality patterns based on historical weekly performance data. It projects price movements for up to 26 weeks ahead, highlighting key seasonal periods that have historically affected tech stocks. Key Features: Projects price movements based on historical Nasdaq weekly seasonality patterns Highlights six key seasonal periods: January Effect, March Lows, April-May Strength, Tech Summer Rally, September Dip,
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CognitiveAlphaの投稿
1
Multi-Timeframe VWAP Master ProThe Multi-Timeframe VWAP Suite is a comprehensive and highly customizable indicator designed for traders who rely on Volume-Weighted Average Price (VWAP) across multiple timeframes and periods. This tool provides a complete suite of VWAP calculations, including daily, weekly, monthly, quarterly, yearly, and custom VWAPs, allowing traders to analyze price action and volume trends with precision. Whether you're a day trader, swing trader, or long-term investor, this indicator offers unparalleled f
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starseedmaster1の投稿
2
Window Seasonality IndicatorThis is a time window seasonal returns indicator. That is, it will provide the mean returns for a given time window based on a given number of lookbacks set by the user. The script finds matching time windows, e.g., 1st week of March going back 5 years or 9:00-10:00 window of every day going 50 days, and then calculates an average return for that window close price with respect to the close price in the immediately preceding time window, e.g. last week of February or 8:00-9:00 close price, respe
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redbulleconomyの投稿