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The code provided is a Python script that calculates various performance metrics for a trading strategy. The strategy is based on two moving average (EMA) indicators, `ema_10` and `ema2_50`. The script assumes that the data is stored in a CSV file named `'LTCUSDT15mYeaarly.csv'`. Here's a step-by-step breakdown of the code: 1. Import the necessary libraries: pandas, numpy, and matplotlib. 2. Load the data from the CSV file into a pandas DataFrame. 3. Calculate the long and short conditions based on the EMA indicators. 4. Calculate the position of the trader at each time step. The position is 1 when the trader is long, -1 when the trader is short, and 0 when the trader is not holding any position. 5. Calculate the profits and losses for each trade. 6. Calculate the total profit and loss, net profit, profit factor, and percentage profitable. 7. Print the results. Please note that you need to replace `'LTCUSDT15mYeaarly.csv'` with your actual data file. If you want to change the

Inscrição nº 19 do Concurso para                                                 I'm looking for python script which one will return Uniswap orderbook
Inscrição nº19

Painel de Comentários

  • mdabdulkader2162
    Proprietário do Concurso
    • 4 meses atrás

    Where is the long close and short close condition.

    • 4 meses atrás
  • mdabdulkader2162
    Proprietário do Concurso
    • 4 meses atrás

    run you code and give the output. Thanks.

    • 4 meses atrás