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I will backtest your trading strategy with real validation
Python Data Analyst for Trading Backtests and Business Automation
Business Administration degree, plus years running my own menswear company (manufacturing and retail, 4 physical stores) -- so I understand operations and purchasing from the inside. I currently work ...
Über diesen Service
Most DIY backtests are wrong in a specific way: the strategy was tuned and tested on the same data. That makes a result look great on paper and fall apart in live trading.
I build backtests the correct way: your data split chronologically, parameters tuned only on the older portion, and results checked on the newer portion your strategy has never seen. You get the honest answer, not the flattering one.
A bit about me: I have a degree in Business Administration and ran my own retail company for years (manufacturing and 4 physical stores), so I understand risk and operations beyond just code. I taught myself Python to build my own algorithmic trading systems, and now I apply that same rigor to your strategy.
What you get: a clean, tested backtest with in-sample and out-of-sample results, metrics that are actually read correctly (Sharpe, Sortino, profit factor, max drawdown in dollars), and a straight answer about whether your edge is real.
Plattform:
Individuell
Entwicklungstechnologie:
Python
FAQ
What do you need from me to get started?
Your entry/exit logic (plain English or pseudocode is fine), the asset and timeframe, and any historical data you already have. If you don't have data, I can source it.
Can you guarantee the strategy will be profitable?
No, and I won't pretend to. What I guarantee is an honest, methodologically correct backtest. If your strategy has a real edge, this process will show it. If it doesn't, you'll know that too -- which is valuable information either way.
