Need to know whether your crypto trading strategy backtest actually holds up?
I will independently reproduce, audit, and validate your historical cryptocurrency trading strategy using Python and an evidence-first quantitative research workflow.
What I will examine
Strategy rules and implementation
Historical market data and assumptions
Entry and exit logic
Return calculations
Drawdown and risk metrics
Sharpe and related performance measures
Transaction-cost assumptions where applicable
Potential look-ahead or other backtest methodology problems
Reproducibility of the reported results
What you receive
Reproducible backtest analysis
Performance and risk statistics
Validation findings
Clear explanation of methodology and assumptions
Identification of material issues or limitations
Machine-readable results where appropriate
Evidence artifacts supporting the reported findings
The work is based on QuantLab, an evidence-first quantitative research project focused on reproducibility, data provenance, and verifiable financial research.
Suitable for
Crypto trading strategy backtests
Python trading strategies
Existing quantitative research
Strategy results that need independent verification
Researchers who want reproducible evidence before relying on a backtest
Important scope
This service is for research and historical validation.
It does not provide investment advice, personalized investment recommendations, guaranteed returns, brokerage, custody, or live trading execution.
If you already have a strategy, codebase, backtest results, or documented trading rules, send them before ordering so I can confirm the scope, deliverables, data requirements, and estimated completion time.
