ES Futures Strategy Optimization
Summary
Freelancer Client is hiring: ES Futures Strategy Optimization.
Location: Remote
I need you to take the full April 2026 Level 2 tick data for the E-mini S&P 500 (ES) inside your own Sierra Chart installation and refine my automated study until it reliably meets two key targets: 3–10 trades per regular session (market-open hours only) and a win rate that pushes toward 85 % while remaining statistically sound.
Benefits & perks:
• Trade-by-trade performance report (CSV or XLSX) for April 2026, including equity curve, drawdown, expectancy and win-rate metrics
• Consistent positive equity curve and controlled drawdown across the full month
Skills: Market Research, Risk Management, Financial Analysis, Statistical Analysis, Data Analysis, Financial Modeling, Backtesting
Budget: $250–$750 USD
Source: Freelancer Client via Remote / Online. Apply on the source website.
Original
I need you to take the full April 2026 Level 2 tick data for the E-mini S&P 500 (ES) inside your own Sierra Chart installation and refine my automated study until it reliably meets two key targets: 3–10 trades per regular session (market-open hours only) and a win rate that pushes toward 85 % while remaining statistically sound.
You will run the entire optimisation locally—no VPS or remote access will be provided—using Sierra Chart’s built-in back-tester and its high-resolution tick database. Feel free to adjust entry logic, exit logic, stop-loss and profit-target placement, indicator settings or any other study parameters so long as the final ruleset is 100 % executable within Sierra Chart.
Deliverables
• Updated study / .scs file with all tuned parameters
• Trade-by-trade performance report (CSV or XLSX) for April 2026, including equity curve, drawdown, expectancy and win-rate metrics
• Brief summary (1–2 pages) outlining your optimisation workflow, justification for parameter choices and walk-forward or out-of-sample validation to show the system is not over-fitted
Acceptance Criteria
• 3–10 trades per day during the market-open window
• Win rate trending toward 85 % with realistic risk-to-reward
• Consistent positive equity curve and controlled drawdown across the full month
I will supply the current version of the study once we agree to proceed.
Location & Details
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