A one-stop package for entire financial analysis and market prediction using Deep Learning
Project description
This is an all in one complete python package to solve your entire financial analysis and market prediction demands. This library enables you to work not on the financial analysis but also complements you by giving its inputs on the market prediction.
Updates will get released regularly. Do let us know about your other demands from this library at the email address provided.
Launch - 19th March, 2024
2nd update release - 5th May, 2024
3rd update release - 27th May, 2024
4th update release - 24th June, 2024
Following libraries are currently in service in finlearn:
plotter: For plotting the candlestick and interactive line plots along with volume plots of the equities with dates time_series: Uses the RNN model to predict the future stock market prices. The usage details have been given in the user_guide.md available in the docs section. Highly accuracte for 10% confidence level.
checker: Prints the accuracy for various models at different confidence levels. analysis: This library enables the users to see the rsi, macd and bollinger bands for further financial analysis.
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