You will get trading strategy backtesting and AI parameter optimization in Python
Project details
Get confidence in your trading idea before risking more capital. I will backtest your strategy on historical data and provide a clear performance report: returns, drawdowns, Sharpe ratio, win rate, trade distribution, and risk diagnostics. Higher tiers compare multiple strategies and include AI-based parameter optimization to find robust settings and reduce overfitting risk. You'll receive charts, Python code, and a walkthrough so you understand what works, what breaks, and how to improve the system. Send your strategy rules and market preferences—I'll confirm feasibility within 24 hours.
Machine Learning Tools
MATLAB, NumPy, pandas, Python, PyTorch, scikit-learnWhat's included
| Service Tiers |
Starter
$599
|
Standard
$999
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 7 days | 10 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 0 | 1 | 2 |
Number of Graphs/Charts | 12 | 18 | 20 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | ||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$99 - $299
Extra exchange or asset set
+$99
Walk-forward validation analysis
+$199
Report-to-dashboard conversion
+$149Frequently asked questions
About Artsiom
Data Analyst | Excel/Google Sheets, SQL, Python | Dashboards & Reports
Berlin, Germany - 5:59 am local time
What I can deliver in 24–72 hours: data cleaning (duplicates/missing values), merging multiple files, pivot tables, KPI dashboards, funnel/cohort tables, and an executive summary with recommendations.​
Optional: simple ML baselines (regression/classification) with validation and an easy explanation; also research-style crypto/quant notebooks (feature engineering + backtest metrics) if you need it.​
Steps for completing your project
After purchasing the project, send requirements so Artsiom can start the project.
Delivery time starts when Artsiom receives requirements from you.
Artsiom works on your project following the steps below.
Revisions may occur after the delivery date.
Validate rules & setup
I review your strategy logic, confirm data availability, and build the backtesting environment with your capital, fees, and slippage assumptions.
Run tests & diagnostics
I execute the backtest, calculate performance metrics (Sharpe, drawdown, win rate, profit factor), and generate equity curves and risk diagnostics.