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Binance Ethereum usd price Factors such as personal risk profile, time commitment, and trading capital are all important to think about when developing a strategy. You can then begin to identify the persistent market inefficiencies mentioned above. Having identified a market inefficiency, you can begin to code a trading robot suited to your own personal characteristics. Backtesting focuses on validating your trading robot, which includes checking the code to make sure it is doing what you want and understanding how the strategy performs over different time frames, asset classes, or different market conditions, especially in black swan type events such as the 2007-2008 financial crisis. Now that you have coded a robot that works, maximize its performance while minimizing the overfitting bias. To maximize performance, you first need to select a good performance measure that captures risk and reward elements, as well as consistency (e. 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