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Mastering Python for Finance by James Ma Weiming

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Ten considerations for a backtesting model

In the previous section, we performed one replication of a backtest. Our result looks pretty optimistic. However, is this sufficient to deduce that this is a good model? The truth is that backtesting involves a lot of research that stems a literature on its own. The following list briefly covers some thoughts that you might want to consider when implementing your backtests.

Resources restricting your model

The resources that are available to your backtesting system limits how well you can implement your backtest. A financial model that generates signals using only the last closing price needs a set of historical data of closing prices. A trading system that requires reading from the order book requires ...

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