NSETRADER A basic implementation to download historic prices, apply a strategy, and see the strategy performance vis-a-vis the actual stock prices. The code requires some clean-up. The overview is as follows: - Go to file strategy.py - Get the historic data for the required script - Parse this data as a pandas dataframe - Apply an appropriate strategy that you want to test. The current code includes basic strategies like RSI crossover or Bollinger band. - Generate trading signals for this strategy. - Plot graph of portfolio growth , showing the original prices, versus the portfolio value if you trade by the signals. - Fine-tune the strategy, run the code again, make money, and then make some more !! A typical plot for Bollinger-band based strategy: Signals for the above strategy: This uses Pandas, NumPy, NSEPy, SciKit, MatPlotLib, and a host of other python libraries. Feel free to add your custom strategies, optimized code for fetching data, improved graph plots, etc. I am not a python programmer, nor am I an expert in trading or technical analysis. All ideas/suggestions/improvements

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