I will backtest and validate your trading strategy in python

Einige Informationen werden in englischer Sprache angezeigt.

Pakistan

Ich spreche Urdu, Punjabi, Englisch, Chinesisch

Quantitative Trading Research and Backtesting

I help traders evaluate trading ideas through structured backtesting, quantitative analysis, and strategy validation. My work includes historical backtesting, win rate, profit factor, drawdown, expect...
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Have a trading strategy but want to know whether the data actually supports it?

I provide structured Python-based backtesting and quantitative strategy validation to help you understand how your trading rules performed historically and where the weaknesses may be.

Depending on your package, I can provide:

  • Historical strategy backtesting
  • Win rate, profit factor, drawdown and expectancy
  • Equity curve and trade-level analysis
  • Long vs short performance comparison
  • Fees and slippage assumptions
  • Robustness and parameter sensitivity checks
  • Out-of-sample validation where appropriate
  • Clear findings and a professional research report

I can work with clearly defined strategies for Forex, Gold, Crypto, Futures, Stocks and Indices.

Please provide your entry rules, exit rules, stop loss, take profit, timeframe, market and any filters or conditions.

My goal is to give you clear, reproducible evidence not promises of profitability.

Historical results do not guarantee future performance.

Technologie:

Jupyter-Notizbuch

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NumPy

Analyse-Typ:

Quantitative Analyse

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statistische Analyse

Expertise:

Algorithmen

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Wahrscheinlichkeit

•

Mathematik

•

Statistiken

Programmiersprache:

Python

Tools:

TradingView

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Microsoft Excel

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Andere