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AminHP avatar AminHP commented on May 29, 2024 1

@He1nr1chK

You should also override _get_prices to store OHLC data.

    def _get_prices(self, keys: List[str]=['Open', 'High', 'Low', 'Close']) -> Dict[str, np.ndarray]:
        prices = {}

        for symbol in self.trading_symbols:
            get_price_at = lambda time: \
                self.original_simulator.price_at(symbol, time)[keys]

            if self.multiprocessing_pool is None:
                p = list(map(get_price_at, self.time_points))
            else:
                p = self.multiprocessing_pool.map(get_price_at, self.time_points)

            prices[symbol] = np.array(p)

        return prices


    def _process_data(self) -> np.ndarray:
        data = self.prices

        macd_features = []
        for pair, ohlc_data in data.items():
            open = ohlc_data[:, 0]
            high = ohlc_data[:, 1]
            low = ohlc_data[:, 2]
            close = ohlc_data[:, 3]
            pair_macd = calculate_macd_from_ohlc(open, high, low, close)
            macd_features.append(pair_macd)

        signal_features = np.column_stack(macd_features)
        return signal_features

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AminHP avatar AminHP commented on May 29, 2024

Hi @dancydancy,

You can override this function in order to add your own indicators.

You can download data from MetaTrader using the download_data method of MtSimulator. Here is an example code. In case you want to put your own data frames into the simulator instead of downloading from MetaTrader, it might be helpful to read the source code of the download_data.

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dancydancy avatar dancydancy commented on May 29, 2024

Thank-you :)

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He1nr1chK avatar He1nr1chK commented on May 29, 2024

Hi @AminHP, could you provide an example of how to override the _process_data function with a simple indicator like MACD if you get a chance. I am having a lot of trouble figuring out how to add the data produced by the indicator to the signal_features being returned. Thanks in advance

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He1nr1chK avatar He1nr1chK commented on May 29, 2024

When I do exactly this I get the error: AttributeError: 'NoneType' object has no attribute 'shape'. Any ideas? Sorry if this is a stupid question, my python knowledge is rather limited

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