⚠️ Platform provides T-1 closing data only. No real-time quotes. Focused on long-term daily strategy backtesting.

Options Backtesting Platform — Backtest Options Strategies with 10-Year EOD Data

Professional options backtesting platform built on 10 years of T-1 EOD options data. Ideal for long-term options trading strategy research, covered call backtesting, and options spread analysis. Not suitable for intraday or 0DTE strategies.

1. Long-term Options Backtesting Engine

Parallel Batch Backtesting

  • Simultaneous multi-year full history options backtesting across 5–10 year windows
  • Auto-calculated annualized return, Sharpe ratio, max drawdown — professional options risk metrics

Pre-built Long-term Strategy Templates

  • Covered call / covered put strategy backtesting
  • Bull/bear spread, collar strategy templates
  • Calendar spread, iron condor, iron butterfly backtesting
  • Monthly short strangle rolling strategy — simulate sequential positions that roll at or before expiration
  • Stock position module — configure shares, build rule (open with options, already held, hold forever), and exit rule for strategies with stock components
  • Per-strategy inline tutorials showing optimal use cases, risks, and parameter guidance for each template

2. 10-Year Standardized EOD Options Dataset

  • US stocks, ETFs, broad index options — 10 years of daily closing snapshots for reliable options backtesting
  • Auto-cleaned splits, dividends, contract rollovers to eliminate look-ahead bias in your backtest
  • Daily metrics: close price, implied volatility (IV), historical volatility (HV), open interest, volume, full options Greeks
  • Tiered EOD API with key management dashboard — free test tier, professional (500 calls/day), academic (unlimited), plus full API documentation

3. Visual Strategy Builder — Rules, Filters & Position Simulation

Interactive Options Strategy Builder

No coding needed to backtest options trading strategies. Select symbols, expiration cycles, IV thresholds, and strike spreads to generate options backtest conditions. Hide complex parameters for beginners exploring options strategies.

Multi-Day Position Simulation for Options

Auto-generate daily position records after each options backtest. Track theta decay, implied volatility fluctuation, and Greeks impact on P&L over the full holding period.

Granular Entry/Exit Rules & Underlying Pre-Filters

Define precise entry and exit conditions using 5 filter categories — Risk Management (DTE, TP/SL, drawdown), Greeks (Delta, Gamma, Theta, Vega), IV (value, percentile, change, VRP), IV Skew (call/put skew, percentile, change), and Liquidity (volume, OI, spread). Apply rules per-leg or shared across all legs. Pre-filter the underlying with Price Change, K-Line Trend, Historical Volatility, and Earnings filters — each with independent entry, holding, and exit thresholds.

Tutorials, Results Export & Strategy Sharing

Access per-strategy inline tutorials showing optimal use cases, risks, and parameter recommendations before running your backtest. Export full trade history (15+ columns: entry/exit prices, PnL %, PnL $, Greeks, IV, holding days, option type, strike, expiration) and daily position data as CSV with sortable columns and custom filenames. Share any backtest configuration via a unique encoded URL — pre-fills the simulator with all settings for collaboration and embedding case study setups.

4. Portfolio Risk, Cross-Leg Constraints & Exit Rules

  • Aggregate total Delta, Gamma, Vega, Theta across multiple stocks and option layers for comprehensive options risk analysis
  • Multi-year historical multi-scenario analysis based on daily closing levels to evaluate strategy resilience
  • Long-term hedge efficiency calculation — compare naked long vs option-protected returns over years
  • Monthly rolling seller margin usage statistical analysis for premium collection strategies
  • Constrain net premium type (collect/pay/any) with range and unit controls (% of underlying, % of stock value, fixed $)
  • Set portfolio-level Greeks targets and inter-leg strike distance rules with comparison operators
  • Portfolio-level exit rules: take profit %, stop loss %, drawdown trigger %, and profit activation %

5. Academic Research Tools for Options

  • Standardized performance reports with 40+ professional metrics — Sharpe ratio, Sortino ratio, Calmar ratio, CAGR, max drawdown, VaR 95%/99%, profit factor, win rate, avg holding days, and more — ready for academic papers and thesis research
  • Detailed volatility & Greeks analytics: avg entry/exit IV, IV change, avg entry Delta, cumulative Theta, portfolio Vega, ATM IV, call/put skew, and VRP (IV−HV) per trade
  • Premium and capital efficiency metrics: total premium paid/received, net premium, position notional, capital turnover rate, and composite value coefficient (CVC) with qualitative rating
  • Volatility term structure data for empirical options research across multiple time horizons
  • No watermark academic dataset export for published research

6. Options Trading Strategy Case Studies

Explore 100+ real options backtesting examples with complete entry and exit rules, risk parameters, and performance analysis. Each case study demonstrates practical options trading strategies you can learn from and apply:

  • Covered call strategy case studies — backtest results across different market environments and stock selections
  • Iron condor and iron butterfly backtesting examples with detailed risk/reward analysis
  • Bull put spread and bear call spread case studies for directional options trading strategies
  • Calendar spread and diagonal spread backtest examples showing theta decay and volatility impact
  • Monthly short strangle rolling strategy case studies with historical win rates and drawdown analysis
Browse All Case Studies

7. Batch Parameter Optimization Engine

Automate parameter discovery across multiple symbols and rule configurations. Choose from three optimization algorithms to find the best strategy settings:

  • Grid Search — exhaustively test all combinations of selected parameters for thorough optimization
  • Sequential Sweep — optimize one parameter at a time for faster iteration on individual variables
  • Bayesian Optimization — use Gaussian process modeling to find near-optimal solutions in fewer iterations
  • Multi-objective targeting: maximize Annual Return, maximize Sharpe Ratio, minimize Max Drawdown, or maximize Composite Score
  • Manual entry or range generator (min/max/step) for each parameter, with email delivery upon completion
Try Batch Optimization

Options Backtesting Learning Center

All educational content designed around long-term daily-frequency EOD options backtesting. Learn how to backtest covered calls, iron condors, calendar spreads, and other options trading strategies:

  • Beginner: Platform data rules, options backtesting fundamentals, understanding EOD data limitations
  • Strategy: Covered call backtesting, rolling seller strategies, spread strategies — full illustrated tutorials
  • Quant: Low-code batch options backtesting
  • Academic: Volatility term structure empirical research guide for options pricing studies
Go to Learning Center

Options Backtesting Platform Limitations (Not Supported)