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robotrad's Introduction

robotrad

What will the tool provide:

  • Some statistics:

    • Median
    • Average
    • Moving average (Different type)
    • Pattern recognition
    • SNR?
    • Filters Kalman etc...

  • ML/AI

    • Training the AI/ML on the huge list of data
      • Possibilities of different type of trading

  • Graphical tools to apply the math behind as wished.

  • Graphical tools to see the different patterns that are found by the software.

  • Graphical tools to see how is the training going on.

Resources

AP

  • Create the core of the tool. This will allow to create and valid the functionalities. (Forget for now the software UI)
  • Create a simple console action -> have the possible to execute different function via console.
  • Create a tool to register the data in a efficient database
    • Database: what is the most efficient database.
    • Database: Find a framework to the database
    • Database: Implement and test with many stocks
    • Database: Find an API that will allow to retrieve the trade information
    • Database: Find an API that will allow to read the data from the internet regarding the specific information of the stocks
  • Learn about AI:
    • AI: Processing data from the trade and train the AI for different variable:
      • The news. The positive, negativity, neutrality should be provided with a score. P0
      • The timeline to analyse: The relevant timeframe should be AI oriented. P1
      • Some pattern analysis: P2
        • To name a few (phases, crossing EMA, MA) TL..
        • Support line TL
        • To be able to feed different type of algorihm the the input data.
      • Result should be take buy/short, and exit requests. P2
  • Implement first AI pipeline: | News Time Frame requirement AI trained | --> | news AI | ------------------------------------------------> | Per algorithm: | Time Frame AI | --> | Data Raw | --> | Transform and adapt | --> | Decision statistic | --> | --> | AI Decision Send yes no |
  • The per algorith the time frame AI is taken from the previous learning runs for a timeframe according to a parameter (short/mid/long term in 1h/ days/ weeks. This way the software is able to take decision
  • Fix performance issues.
  • Implment UI

robotrad's People

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