Is Seasonality360 a signal service or investment advisor?
No. Seasonality360 is a research and analytics platform for seasonality study. It does not provide buy/sell signals or personalized advice.
Seasonality360 Features: all the tools you need for data-driven seasonal trading
From discovery to portfolio-level validation, Seasonality360 connects research, testing, and monitoring in one no-code workflow.
Seasonal Screener
The starting point of your seasonality workflow
Use Screener to scan seasonal opportunities across major markets and shortlist robust candidates before deeper validation.
- Filter by calendar windows and asset class
- Rank by win rate, return profile, and drawdown
- Move only robust ideas to Backtest
- Reduce noise and speed up discovery
Seasonal Backtest
From candidate ideas to year-by-year validation
Run chronological tests, compare variants, and inspect equity behavior before you commit capital.
- Chronological replay on long historical samples
- Inspect equity curve, drawdown, and hit ratio
- Compare holding windows and rules
- Spot fragility and overfitting early
Read more about our data and validation standards in the Seasonality360 Methodology.
Portfolio Backtest Management
Portfolio-level validation for seasonal setups
Combine multiple strategies, assign weights, and evaluate total equity and risk as one portfolio.
- Compose diversified baskets of seasonal edges
- Measure aggregate drawdown and equity consistency
- Analyze contribution by strategy
- Compare portfolio versions before live deployment
Seasonality360 does not tell you what to trade and does not provide financial advice. It gives you tools to compare alternatives with discipline.
Memo Notes
Personal research notes and reminders
Capture why a setup is valid, what can invalidate it, and when you need to review it.
- Attach structured notes to patterns and tests
- Set reminders on your own cadence
- Track expected vs actual outcomes
- Keep a disciplined research log
If you want a simple but serious process, read Easy Trading Strategy: what it really means.
Portfolio Backtest Management Workflow
Build a strategy portfolio, run an aggregated backtest, and compare versions before moving to paper or live execution.
1) Build Portfolio
Create a portfolio from validated strategies and define weight and activation logic per strategy.
2) Run Portfolio Backtest
Simulate one combined equity path with capital, sizing, and risk constraints at portfolio level.
3) Version and Compare
Store runs, compare versions side-by-side, and export the strongest structure to paper trading.
FAQ about Seasonality360 features
Can I use seasonal patterns blindly?
No. Seasonal patterns are historical evidence, not guarantees. Operational decisions remain entirely your responsibility.
Do I need to code to use Seasonality360?
No. The workflow is no-code and designed for practical use through a visual interface.
Explore the commercial research workflows behind the feature set
These pages are built around concrete commercial intents: validation, seasonality discovery, research operations, and prop-firm-aware risk control.
Platform guideBacktest
Backtesting Software
Understand how to validate setups day by day with trade-by-trade history, equity and drawdown context, and cleaner go/no-go decisions.
Open guideWorkflow guideBacktest
Strategy Backtesting Software
Learn how to turn strategy ideas into testable rules, compare variants, and keep only what survives historical evidence.
Open guidePlatform guideScreener & Seasonality
Seasonality Software
See how to read recurring seasonal behavior across assets, test robustness over years, and structure research before execution.
Open guideWorkflow guideScreener & Seasonality
Seasonality Screener
Use the Screener flow to filter windows, rank opportunities by key stats, and create a shortlist for deeper Backtest validation.
Open guidePlatform guideResearch workflow
Trading Research Platform
Map the full workflow from discovery to validation, notes, and review using Screener, Backtest, Alerts, Radar, and Journal together.
Open guideWorkflow guideRisk control
Prop Firm Risk Management
Apply risk-first validation for prop constraints: size discipline, drawdown awareness, and setup selection under strict loss limits.
Open guide