Seasonality Scanner
SkillCommerce & financeUncover recurring annual patterns in any asset. Track price movements over years to find seasonal trends and time your trades with confidence.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Seasonality Scanner skill
About this capability
About AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading
What this skill tells your AI
The instructions your AI receives, as published by signal-execution-labs/forex-trading-ai-agent in skills/seasonality-scanner/SKILL.md and read by ahel’s review.
Uncover recurring annual patterns in any asset. Track price movements over years to find seasonal trends and time your trades with confidence.
Category
Analysis
Inspired By
- TradingView Seasonals
- Seasonax
- Moore Research Center
Features
Seasonal Pattern Analysis
- Multi-Year Overlay: Compare 5, 10, 20 years of data
- Monthly Patterns: Best/worst months historically
- Weekly Patterns: Day-of-week tendencies
- Hourly Patterns: Intraday seasonality (forex sessions)
- Pattern Strength: Statistical confidence scoring
Pattern Detection
- Strong Seasons: 70%+ win rate over 10+ years
- Weak Seasons: Historical underperformance periods
- Seasonal Ranges: Typical high-low ranges by month
- Anomaly Detection: Current year vs historical average
Calendar Events
- Earnings Season: Q1/Q2/Q3/Q4 patterns
- Tax Season: April selling/buying patterns
- Holiday Effects: Santa Rally, January Effect, Sell in May
- Expiration Effects: Monthly/quarterly options expiry
- FOMC/NFP Effects: Rate decision and jobs report patterns
Commodities Specialization
- Crop Cycles: Planting/harvest seasonality
- Energy Patterns: Summer/winter demand cycles
- Metals: Industrial vs safe-haven cycles
- Soft Commodities: Weather-based patterns
Signal Generation
- Seasonal Entries: Buy/sell at optimal seasonal points
- Confirmation: Combine with technical analysis
- Risk Adjustment: Position size by confidence level
- Exit Timing: Optimal seasonal exit points
Usage
import { SeasonalityScanner } from 'kit-trading/skills/seasonality-scanner';
const scanner = new SeasonalityScanner();
// Analyze monthly seasonality
const patterns = await scanner.analyze('AAPL', {
years: 15,
granularity: 'monthly'
});
// Get best months to buy
const bestMonths = patterns.filter(m => m.winRate > 0.7);
// Get current seasonal signal
const signal = await scanner.getSignal('SPY');
// { direction: 'bullish', confidence: 0.78, reason: 'December historically +1.5%' }
API Endpoints
GET /api/seasonality/:symbol- Full seasonal analysisGET /api/seasonality/:symbol/monthly- Monthly breakdownGET /api/seasonality/:symbol/weekly- Day-of-week analysisGET /api/seasonality/calendar- Upcoming seasonal eventsGET /api/seasonality/screener- Filter by seasonal strength
Signals
- GitHub stars
- 136
- Forks
- 870
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
seasonality-scanner- Source
- github.com/signal-execution-labs/forex-trading-ai-agent