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English
$
USD
I will review your trading strategy backtest and risk metrics
Evidence based financial and market research
I provide evidence-based financial and market research using quantitative analysis, data validation, and structured financial analysis. My work focuses on turning market data into clear, reproducible ...
About this Gig
I will assess the historical behavior of one rules-based trading strategy using the data and rules you provide. Depending on the package, I can review your backtest outputs or conduct a historical validation with benchmark, risk, and exposure analysis. You'll receive clear assumptions and a balanced interpretation of the results, including drawbacks and limitations. Portfolio example: a historical AAPL SMA crossover review with traceable outputs and explicit assumptions. The recorded run used one share per signal and zero costs; it does not establish benchmark outperformance or future performance. This is historical research only. I do not provide investment advice, live trading, trade execution, or guaranteed results. You must have the right to provide the data. Please message me before ordering if your strategy, data, or requested analysis falls outside the package scope. What I need from you: strategy rules and parameters; instrument, timeframe, and evaluation dates; a historical data file or dataset details; preferred benchmark, if any; known fees, commissions, and execution assumptions; your main research question.
FAQ
Will you optimize my strategy to produce better results?
No. This service evaluates the stated rules and reports the findings without tuning parameters to create a favorable result.
Does a positive backtest mean the strategy will make money live?
No. Historical testing cannot establish future or live performance.
Do you provide financial advice or execute trades?
No. I provide research and analysis only.
Can you use data or APIs that I have not supplied?
The packages assume you provide the historical dataset. Contact me first if you need help defining data requirements.
What does the AAPL case study demonstrate?
It presents a historical AAPL SMA crossover run with traceable outputs and explicit assumptions. The recorded run used one share per signal and zero costs; it does not establish benchmark outperformance or future performance.
