Data Mining Candlestick Patterns With a Genetic Algorithm

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  • Опубликовано: 22 дек 2024

Комментарии • 34

  • @LifeCodeGame
    @LifeCodeGame Год назад +8

    Great work on using a genetic algorithm to find optimal candlestick patterns for Bitcoin! Keep up the amazing work!

    • @MidnightV6
      @MidnightV6 11 месяцев назад

      How’s your game coming along brother

    • @LifeCodeGame
      @LifeCodeGame 11 месяцев назад

      @@MidnightV6 paused for now im afraid 😧 other stuff came in the way.

  • @berniecsx4556
    @berniecsx4556 Месяц назад

    A great exercise for someone learning genetic algorithms. Your right with the assertion that you need to expand the available information to the patterns.

  • @Chainerlt
    @Chainerlt Год назад +11

    this is gold! keep pumping these amazing videos!

  • @DeAdBiGeYeFiSh
    @DeAdBiGeYeFiSh Год назад +3

    Really cool
    The diminishing performance year by year is quite intriguing indeed, makes you imagine how much stuff has already been tested by big institutions...

  • @jwho369
    @jwho369 Месяц назад

    Wow, brilliant approach.

  • @AlgoTraderM
    @AlgoTraderM 4 месяца назад +2

    Thanks for sharing!

  • @sukriadnansangadji8232
    @sukriadnansangadji8232 Год назад +2

    great explanation, thanks bro

  • @Nicolas-pl6of
    @Nicolas-pl6of 2 месяца назад +1

    It could be relaly interesting if you try another video but this time wirh some specific candle pattern (doji, morning star, hammer, etc...) and show what's their probabilities.
    It could be compmeted with some other parameters (resitance / support zone, etc...)

  • @johnddonnet5151
    @johnddonnet5151 11 месяцев назад +1

    Can you release a course for all of these methods? Like building strategy, properly backtesting it and finding if it works datascience way? From 0 to trading bot

  • @imadmostajil3469
    @imadmostajil3469 Год назад +3

    keep going

  • @zendatastudio
    @zendatastudio 7 месяцев назад +1

    Hey man, I can't believe we made the exact same experiment, I have run the exact same setup using G.A. 4 years ago to mine candle patterns! What are the odds!

  • @ctrodrums
    @ctrodrums 5 месяцев назад +1

    why not doing exhaustive optimization?

  • @catbeatzzz5693
    @catbeatzzz5693 12 дней назад

    What did you study to understand all these

  • @alexanderpentonmartinez761
    @alexanderpentonmartinez761 3 месяца назад

    Concho al menos comparte el codigo para analizarlo y ver si podemos usarlo hacerle mejroas o tomar porciones para otros ejemplos, super bueno.

  • @dmitritomanencu8535
    @dmitritomanencu8535 4 месяца назад

    How stable in time are these rules?
    such kind of expsriments shoul be proved with cross validation

    • @김인영-q5x
      @김인영-q5x 2 месяца назад

      He just did cross validation by testing walk forward test

  • @HemantVerma1729
    @HemantVerma1729 Год назад +5

    Would appreciate if you share your code regardless of messiness

  • @raisingdustk
    @raisingdustk 11 месяцев назад

    please share the code, i want to explore it more

  • @mahendran8888
    @mahendran8888 11 месяцев назад

    Super

  • @PontifX
    @PontifX 4 месяца назад

    Patterns getting arbed out of the market is speculation I subscribe to. Chasing good fits did well for me god it was fun

  • @Douken
    @Douken Год назад +11

    My only question is, what did you study to get this good? How can you make these out of your own brain?

    • @tigoes
      @tigoes 9 месяцев назад +1

      Read books and practice

    • @teenspirit1
      @teenspirit1 26 дней назад

      They did
      * Fixed genome size
      * Equity curve correlation
      * Walk forward optimization
      They could have
      * Varied genome size
      * Showed best score per population graph
      * Tried different trading strategies (limit/stop exits, trailing stops)
      * Not ignored fees
      * Tried hyperparameter optimization (with various walk forward long and short periods, different candle sizes)
      * Compared with the performance of the underlying instrument
      there is so much more *you* can do with your brain than what you see in this video.

  • @Mammad_kh
    @Mammad_kh Год назад +3

    I'm curios what's the reason you didn't share the code like other videos, is it because sharing these information publicly is not ideal which results in disorder and turbulence in markets or the reason is something else?

    • @neurotrader888
      @neurotrader888  Год назад +8

      I implemented this with C++ and its around 1500 lines of messy code. I didn't want to explain it all, or receive tons of questions about how to use it.

    • @Mammad_kh
      @Mammad_kh Год назад

      @@neurotrader888 ok thanks for the reply

    • @eervin123
      @eervin123 Год назад +1

      @@neurotrader888 😂 great answer

  • @dmitritomanencu8535
    @dmitritomanencu8535 4 месяца назад

    Good

  • @esquire9445
    @esquire9445 Год назад

    I think you need to run a simulation with an entry price, stop, and target. Simply saying it went up or down doesn’t pass any kind of real test.

  • @vodenicite
    @vodenicite 5 месяцев назад

    bro ....

  • @zimpot1690
    @zimpot1690 Год назад +2

    whats the point of posting video and you dont want with the source code