Trend Line Breakout Machine Learning Algorithmic Trading Strategy in Python

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I show a Trend Line breakout trend following strategy and improve the results by meta-labeling the trades. Then train a random forest to predict when a trade will succeed or fail.

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The content covered on this channel is NOT to be considered as any financial or investment advice. Past results are not necessarily indicative of future results. This content is purely for education/entertainment.
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I think you really add value by consistently demonstrating new angles to approaching algo trading. There‘s nothing comparable on youtube, as most content is related to price indicator trading. Thank you for this and keep up the great and inspiring work!

MisterPDR
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Wow, awesome video. Very detailed and, even though I'm new to coding and stock investing, I can see how a few more adjustments can zero this algo into a very profitable strategy.

DarrellLDunn
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Great video! very educative, especially in the way to analyze the feature importance/correlations.

noecb
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Dude, where did you go. You're not posting anymore? :(

benbalaj
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Excellent thought process and skilled execution. Ever thought of doing this again but then based on a Liquidity based strategy where price delivery and time determine the movement in price. Include a newsfilter and I think you will have a winner 😊

erikbakker
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Your content is STELLAR man. Keep it up!

Raekonn
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Hey neurotrader, big fan of your content! I've reached out to your channel via email, keep the videos coming! 🙌

ciaranmcveigh
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Hey neurotrader, just found out your channel. Seems really excellent and unique!
Question: Is deep learning the ML method that you use the most for the strategies and parts of your system that use ML? Is there a close second? I feel like deep learning is an inefficient overkill for retail traders in most cases, but I don't have much knowledge nor practice in any of that lol

DeAdBiGeYeFiSh
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keep doing the good work, I checked with some real-time data from nse, and the success ratio is not good.

mageshkumar
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I owe you one., and A good video that I admire...

huihuang-pknr
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I had a thought regarding the walkforward modelling part. In this setup, since each trade is independent of the others, wouldn't it make more sense to randomly sample a # of trades across all years of the data, and then use the remaining as test data instead of just splitting by year? This way you account for the different market regimes that may be present at different time periods and have a more general model versus a model that might be overfit for a particular market type. What do you think?

SuperChaoticOne
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Thanks for the forecast! A bit off-topic, but I wanted to ask: My OKX wallet holds some USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). Could you explain how to move them to Binance?

RonaldKnop
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Nice work I enjoyed the video! I'm new to programming but have a good understanding of trading. Could you assist me in transforming those bots into real-time trading systems

haithammisape
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You didn’t shift your signal column it has look ahead bias

QuantRM
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Can you make RLbased or Qlearning based model for Intraday trading?

rajd
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Hi, please can u teach me how put orders in futures with ccxt un kucoin. I have a lote of backtestings, and I want to go test but i dont know how put orders. THX man ❤ 0:25 1:26

albertovidalfernandez
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is there a github repo or should i type what i see :)

MisterPDR
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Why you are not rich? I mean why you don’t make a trader ai to predict crypto

Andromedawhisper
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Nice may Allah help us use all this money wisely

bombasticiti
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