Quantitative Betting With Python: How To Backtest a Value Bet Strategy
Jan 3, 2022
1 min read
Quantitative betting consists in using mathematics and algorithm to place a bet as it can be done in finance. To achieve this there are two important steps. First, you need to have predictions, second, you need to backtest your strategy. The backtest is simply a simulation that will help to understand the profitability of a strategy, but also your risk using historical data.
The backtesting idea makes the most sense to me, because a strategy can look good until you test it on old data. I also compared that with goddess of bells besplatno, where RTP and volatility are shown upfront. Different format, but the same lesson applies: numbers matter more than gut feeling. Testing first can prevent a lot of bad decisions.
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