130# 5 Minute Scalping with Machine Learning

Trend following strategy filtered by multivariate statistics.

Machine Learning Lorentzian Classification

Submit By Janus Trader

5 minute scalping: with machine learning is a trend following strategy filtered by multivariate statistics. Machine learning is a multivariate statistical technique that synthesizes n° variables or improves the regression techniques, in this case we use an optimization of the regression techniques. This ANN algorithm operates on a dataset in chronological order, performing calculations every 4 bars to reduce computational load and ensure a minimum spacing of 4 bars between neighbors.

 

This strategy has been structured for the 5 minute time frame for very volatile instruments. In any case it should be configured for each instrument, this is just an educational example. So before trading, configure 4-5 volatile instruments with a win rate above 63%. I proposed a further trend filter, a slow MACD. See the video for more examples.

5 Minute Scalping with Machine Learning
5 Minute Scalping with Machine Learning

Strategy Setup
Time frame 5 minutes
Currency pairs: GBPJPY, BTCUSD, Oil, Tesla, Vix, EURAUD, AUDUSD, AUDJPY, EURJPY, NZDUSD, GBPUSD.
TradingView indicators
Machine Learning Lorentzian Classification setting: see in the pictures.

 

MACD has two options (32, 64, 12) and very slow (64, 128, 12). Optional because Machine Learning indicator is very filtere

5 minute scalping  with machine learning
5 minute scalping with machine learning
5 minute scalping  with machine learning
5 minute scalping with machine learning

Trading Rules
Buy
Machine Learning buy arrow.
MACD >0
Sell
Machine Learning sell arrow.
MACD <0

5 minute scalping  with machine learning
5 minute scalping with machine learning
5 minute scalping  with machine learning
5 minute scalping with machine learning

Exit position
Place initial stop loss below above the previous swing high/low.
Profit target minimum ratio stop loss 1.1:15 or trailing stop.
Conclusion
The "5 Minute Scalping: High Win Rate with Machine Learning" strategy is a trend-following approach using machine learning and multivariate statistics, optimized for highly volatile instruments on a 5-minute timeframe. The strategy involves performing calculations every 4 bars for efficiency and ensuring sufficient spacing between neighbors. It uses a Lorentzian distance metric and incorporates a slow MACD (32, 64, 12) as a trend filter. The strategy applies to various currency pairs and volatile assets like GBPJPY, BTCUSD, and Tesla. Trading rules include buying when a machine learning buy arrow appears and MACD is above 0, and selling when a sell arrow appears and MACD is below 0. Exits are managed using a stop loss placed above/below the previous swing high/low and a profit target with a minimum stop loss ratio of 1.1:15 or a trailing stop.

5 minute scalping  with machine learning
5 minute scalping with machine learning
5 minute scalping  with machine learning
5 minute scalping with machine learning
5 minute scalping  with machine learning
5 minute scalping with machine learning
Machine Learning Lorentzian Classification
Machine Learning Lorentzian Classification
Machine Learning Lorentzian Classificati
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Comments: 1
  • #1

    Fabiana (Sunday, 09 June 2024 18:56)

    Wow, this "5 Minute Scalping: High Win Rate with Machine Learning" strategy is fascinating! The combination of Machine Learning Lorentzian Classification and Slow MACD Filters seems like a powerful approach for trend-following in volatile markets. Has anyone tried this strategy yet? Curious to hear about your results and experiences!

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