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I will backtest and validate your trading strategy in python
Toast
Informazioni su questo servizio
Got a trading strategy idea but no real proof it works? I'll build a proper backtest in Python and give you honest numbers not a curve-fitted result that falls apart live.
What you get:
- Historical backtest on your strategy rules (your data, or I can source it as an add-on)
- Key stats: win rate, average R, expectancy, max drawdown, Sharpe
- Walk-forward testing so results aren't just fit to one period
- Optional Monte Carlo simulation to stress-test worst-case outcomes
- A clear written summary no jargon, just whether this works and how confident you should be
I recently validated a futures strategy this way across 16 years of data and multiple prop-firm risk models before trusting it with real capital that's the level of rigor I bring to yours.
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Data driven proof for trading strategies, before you risk real money
- DaRegno Unito
- Membro dagiu 2026
- Tempo di risposta medio1 ora
Lingue
Inglese
Self-taught Python developer and data analyst who builds things end-to-end, not from tutorials. My focus is quantitative validation: proving with real data whether a strategy or idea actually works, not assuming it does. I recently built a full backtesting pipeline for a futures strategy — 16 years of historical data, walk-forward tested, Monte Carlo stress-tested across multiple risk models — before it touched real money. I also build data dashboards, automation tools (Python, Streamlit, SQL), and have run paid Meta/Google ad campaigns for small businesses with measurable results.
Il mio portfolio
FAQ
Do I need to provide historical data?
Yes, if you have your own historical data, that's included in all packages. If you don't have data, I can source it for you as an add-on — sourcing quality data takes extra time depending on the instrument/timeframe.
What languages/platforms?
Python (pandas/numpy), can adapt to your broker's data format.
Can you help build the live/automated version after validation?
Yes, as a custom-quoted add-on.
What if the backtest shows the strategy doesn't work?
I'll tell you honestly — that's the point of the service. A "no" is still a valuable, money-saving result.
Can you tell me if this would pass a specific prop firm's challenge?
Yes, as an add-on (Premium package). I model your strategy against that firm's actual rules to estimate real pass rate and expected income, not just a generic assumption.
