Trading Strategy Development & Backtesting Services
We take your trading hypothesis and subject it to rigorous quantitative analysis. Formalize the rules, code the strategy, backtest against historical data, and deliver a comprehensive report that tells you. with data. whether your edge is real.
Our Strategy Development Services
Every trading strategy is treated as a scientific hypothesis. assumed false until the data proves otherwise.
Quantitative Research
Understanding the underlying market dynamic that creates the edge. Behavioral biases, structural inefficiencies, or microstructure patterns.
Strategy Coding
Formalizing your trading rules into code with zero ambiguity. Every condition defined precisely. entry, exit, filter, position sizing.
Historical Backtesting
Running coded strategy against multiple years and market regimes with realistic friction. commissions, slippage, partial fills, latency.
Walk-Forward Analysis
The gold standard for strategy validation. Optimize in-sample, test out-of-sample, roll forward and repeat to verify robustness.
Monte Carlo Simulation
Thousands of randomized trade sequences to estimate best-case, worst-case, and expected outcomes. Probability of drawdown and recovery time.
Paper Trading Validation
Real-time market conditions using paper trading accounts. Catches issues that historical backtesting cannot. data feeds, fill quality, execution behavior.
Asset Classes We Cover
Equities
Momentum, mean reversion, sector rotation, pairs trading, event-driven
Futures
Index futures (ES, NQ, YM), energy, metals, agriculture, micro contracts
Forex
Carry trade, momentum, mean reversion, session-based strategies
Cryptocurrency
Momentum, arbitrage, funding rate harvesting, liquidity provision
Options
Premium harvesting, volatility strategies, hedging overlays
Prediction Markets
Event-driven strategies for Kalshi and Polymarket
Tools and Platforms We Use
What You Receive
Strategy Source Code: Fully commented, production-ready, you own it completely
Backtest Report: Equity curves, drawdown analysis, Sharpe/Sortino/Calmar ratios, win rate, profit factor
Walk-Forward Results: Out-of-sample performance across all test segments
Monte Carlo Report: Probabilistic outcome distribution with confidence intervals
Risk Parameters: Recommended position sizing, stop-loss levels, daily loss limits
Optimization Notes: All parameters tested, sensitivity analysis, recommendations
Deployment Guide: Step-by-step instructions for your target platform
Strategy Development Pricing
Formalize your trading rules into a specification document and coded strategy.
Strategy coding, historical backtesting, walk-forward analysis, Monte Carlo simulation, and comprehensive report.
Full package. research, strategy coding, backtesting, validation, bot development, and live deployment.
Submit Your Strategy Idea
Tell us what you are trading, what your hypothesis is, and what platform you want the strategy on. We will review it and let you know exactly what we can deliver.