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Ripple Journal

Ripple 4.0

1.03.2023

  • Remove bias from future tertiary data

18.02.2023

  • Tertiary Patterns
  • Correspond Tertiary pattern to upward or downward movement of market

08.02.2023

  • change parametergen to generate exact after pattens aka not only [pattern]*^ but rather [pattern]^
  • Test new parameters on 2019 EURUSD Data
  • continues Search Saves all preview length libraries determine if they are usefully and if not prevent them from saving
  • No powerful trend discovered max length: 10

03.02.2023

  • sorted and cleaned package, better folder management
  • Generate more broad pattern recognition
    • change parametergen to generate exact after pattens aka not only [pattern]*^ but rather [pattern]^

Ripple_3.0

02.02.2034

  • load generated Trends in real.ipynb
  • load Test Tick Data EURUSD 2020
  • Detected Possible Flaw
    • loading csv and converting to array will give string not float type. Comparison between string may be by length not by number.
  • Convert Strings to floats
  • Rerun trend finder with corrected floats
  • Checked parametergen, working correctly

23.01.2023

  • load generated Trends in real.ipynb and test for errors

14.01.2023

  • Choose Tick and Period for UDpatterns recognition [ EURUSD whole 2019 year 1min ]
  • Download Ticks and Save Locally [Data\EURUSD\DAT_MT_EURUSD_M1_2019.csv]
  • Find Trends
    • Choose alt_hypo_perc Threshold [0.05]
    • Choose Trend Length Limit [10]
    • Run trend_finder.py
    • Count total trends found [8036]
    • Check Everything
      • find if there is reason why only trends with p < 0.36755 [till trend length 8 no trend with greater than 0.6 was detected - likely do to data itself]
  • Test Trends
    • Choose Ticks for testing [ EURUSD whole 2020 year 1min]
    • Download Ticks and Save Locally
    • load generated Trends in real.ipynb and test for errors

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