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\n Professional-grade backtesting and parameter optimization engine for SharpTrader<\/strong> arbitrage and non-arbitrage<\/em> strategies. Replays real historical ticks with configurable order execution time<\/strong>, distributes large parameter grids across all CPU cores, and resolves realistic slippage automatically<\/strong> on every order from the tick stream itself. Built by the team behind SharpTrader Pro — same execution engine, same broker dialects.\n <\/p>\n SharpTrader Optimizer is a dedicated backtesting and parameter-optimization engine for arbitrage and non-arbitrage<\/em> strategies built on the SharpTrader platform.<\/strong> It replays historical tick data through your strategy logic, models realistic execution costs (configurable execution time, variable spread per tick, tick-resolved slippage), and runs grid optimization across thousands of parameter combinations — using all available CPU cores in parallel.<\/p>\n The tool is purpose-built for traders who run latency, lock, hedge, pair-trading,<\/strong> news-driven, and trend strategies and need to find robust parameter sets before<\/em> risking capital live. Unlike standard retail backtesters, SharpTrader Optimizer runs on real historical ticks, lets you set per-order execution time in milliseconds, and resolves slippage automatically from the tick stream — the three variables that actually decide whether a strategy is profitable in production.<\/p>\n<\/div>\n Run one parameter set against historical tick data and review PnL curve, drawdown, win rate, hour-of-day breakdown.<\/p>\n<\/p><\/div>\n Define min\/max\/step for each strategy parameter — the engine grids out every combination and ranks results by PnL or drawdown.<\/p>\n<\/p><\/div>\n Workload split evenly across all CPU cores. A 12-hour single-thread run finishes in ~3 hours on a 4-core CPU.<\/p>\n<\/p><\/div>\n Set per-order execution time in milliseconds. The engine walks forward in the tick stream by that latency and fills at the resulting bid\/ask — producing realistic positive or negative slippage automatically.<\/p>\n<\/p><\/div>\n<\/div>\n The Optimizer ships with two arbitrage strategy types ready to test on day one. Three more land in Q2–Q3 2026 as part of free product updates for license holders.<\/p>\n As of release v1.0<\/p>\n Free update for license holders<\/p>\n Free update for license holders<\/p>\n The Optimizer runs in two complementary modes. Most workflows use both: optimize first to find candidate parameter ranges, then backtest the top candidates in detail to verify equity curve shape and drawdown profile.<\/p>\n Run one parameter set<\/strong> against a historical date range. Returns full PnL chart, hour-of-day performance, win\/loss split by direction, and a per-trade ledger.<\/p>\n Run thousands to hundreds of thousands<\/strong> of parameter combinations as a grid search. Returns a ranked table sorted by PnL, MaxDD, or custom score.<\/p>\n Most standard retail backtesters run on a single CPU thread. On modern 4–16 core CPUs, that wastes 75–94% of available compute. SharpTrader Optimizer was built from day one to distribute optimization workload across every available core<\/strong>, with each core processing an independent parameter combination.<\/p>\n In practice, this means you can iterate on strategy ideas overnight rather than over a week. A typical mid-sized optimization run with reasonable step sizes produces 30,000–100,000 combinations on 1 week of tick data — comfortably feasible on a 4-core workstation overnight, or a few hours on a 16-core machine.<\/p>\n For 100k+ combination grids<\/strong> over multi-month tick datasets, we recommend an 8–16 core CPU<\/strong> (Intel i7\/i9 12th gen or newer, AMD Ryzen 7\/9 5000-series or newer). 32 GB RAM minimum if you load multi-year tick history. SSD strongly recommended for tick-data I\/O.<\/p>\n Underpowered hardware still works — it just takes longer. The optimizer auto-detects core count and scales linearly.<\/p>\n<\/div>\n Each strategy exposes its own set of optimizable parameters — the table below shows the parameters available for the Latency Arbitrage strategy as a representative example. Other strategies (DominionForce, Phantom Drift, Lock, Hedge, Pair Trading) expose different sets. Each parameter is independently togglable: tick the Opt?<\/em> checkbox to include it in the grid, leave unchecked to fix it at a single value. Total combinations are shown in real time as you adjust ranges.<\/p>\n
\n ONE-TIME LICENSE<\/span>\n <\/div>\n
\n Pair with SharpTrader Pro →<\/a>\n <\/div>\n
\n All cores<\/strong> parallel<\/span>
\n Tick-level<\/strong> precision<\/span>
\n Execution-time<\/strong> aware<\/span>\n <\/div>\n<\/div>\n
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\n<\/p>\nWhat does SharpTrader Optimizer do?<\/h2>\n
Backtest a single config<\/h3>\n
Optimize parameter ranges<\/h3>\n
Multi-core distribution<\/h3>\n
Execution-time aware<\/h3>\n
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\n<\/p>\nSupported strategies<\/h2>\n
Available now SHIPPING<\/span><\/h3>\n
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Coming Q2 2026 SOON<\/span><\/h3>\n
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Roadmap Q3–Q4 2026 PLANNED<\/span><\/h3>\n
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\n<\/p>\nBacktest mode vs Optimization mode<\/h2>\n
Backtest mode<\/h3>\n
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Optimization mode<\/h3>\n
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\n<\/p>\nWhy multi-core parallelization changes the game<\/h2>\n
Recommended hardware for serious optimization<\/h3>\n
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\n<\/p>\nOptimization parameters explained<\/h2>\n