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I will backtest your trading strategy in python
Stock and Crypto Research ,TradingView Pine Script , Market Data Automation
I’m Prince, a NISM-certified financial market analyst with 4+ years of experience in stock & crypto research, TradingView Pine Script, and automated market data systems. I deliver fundamental analysis...
Level 2
Has met high performance criteria and has a proven track record for meeting client expectations.
About this Gig
Have a trading strategy you want to test on historical data?
I will build a custom Python backtest for your trading strategy and analyze its performance across crypto, stocks, forex, futures, indices and ETFs.
You provide the strategy rules. I handle the Python implementation, historical data, backtesting, performance analysis and reporting.
WHAT YOU CAN GET:
Custom Python trading strategy backtesting
Win rate, profit factor, Sharpe, Sortino & drawdown
Equity curve and trade analysis
Commission, fees and slippage modeling
Performance and risk analysis
Parameter optimization
Walk-forward and out-of-sample testing
Raw results, charts and detailed reports
I can test rule-based strategies across different markets, assets and timeframes, including trend-following, momentum, mean-reversion and other systematic strategies.
The goal is not just a backtest result, but a clear view of your strategy's performance, risk, weaknesses and robustness.
No unrealistic profit guaranteesjust transparent, data-driven analysis.
Message me before ordering with your strategy rules, market, timeframe and testing requirements.
Platform:
TradingView
•
MT5
•
Custom
Development technology:
Python
•
PineScript
•
MQL5
Clients I’ve worked with
CoinLander
I worked on an in-depth research project on the RWA (Real-World Assets) sector in crypto, analyzing market opportunities, blockchain ecosystems, adoption, and competitive positioning. The research helped the client identify the most suitable blockchain and ecosystem for launching and scaling their product.
Aug 2025-Sep 2025
My Portfolio
FAQ
Can you backtest my custom trading strategy?
Yes. I can build a custom Python backtest around your specific entry, exit, stop-loss, take-profit, indicators, filters, position sizing and other rules. If anything is ambiguous, I will clarify it before starting.
What do you need from me to start the backtest?
I need your strategy rules, market/instrument, timeframe, testing period, position-sizing rules, and risk parameters. You do not need to provide Python code—I can implement the strategy from clearly defined rules.
Which markets, instruments and strategies can you backtest?
I can backtest strategies across crypto, stocks, options, forex, futures, indices and ETFs, subject to historical data availability. I can test systematic strategies including trend-following, momentum, mean-reversion, options strategies, multi-asset and custom rule-based strategies across different
What will I receive after the backtest?
Depending on your package, you can receive performance metrics, equity curves, trade analysis, risk analysis, charts, raw results/data, optimization results and a detailed report. Python source code can also be included where specified.
Can you optimize my trading strategy?
Yes. Standard and Premium packages can include parameter optimization. Premium can also include walk-forward, out-of-sample and robustness testing to evaluate whether the results remain stable beyond the optimized sample.
Can you guarantee that my strategy will be profitable?
No. I provide objective, data-driven backtesting and report the results honestly, whether they are positive or negative. Historical performance cannot guarantee future results, and I do not manipulate results to make a strategy look profitable.
