High precision 5-15 minute scalping with optimized machine learning

High Precision 5-15 Minute Scalping with Optimized Machine Learning

High
Precision 5-Minute Scalping with Machine Learning is a
trend-following strategy that leverages multivariate statistical
techniques to filter and optimize trading signals. This advanced
machine learning approach synthesizes multiple variables, enhancing
regression techniques for accurate predictions.

High precision 5-15 minute scalping with optimized machine learning


The ANN algorithm
processes data in chronological order, performing calculations every
4 bars to maintain efficiency and ensure a minimum spacing between
neighbors. 
This
strategy is designed specifically for the 5-minute timeframe and is
best suited for highly volatile instruments. It requires
configuration for each specific instrument, making it crucial to
select 4-5 volatile instruments with a win rate above 63%. An
additional trend filter, the slow MACD, further refines the strategy.

High precision 5-15 minute scalping with optimized machine learning

High precision 5-15 minute scalping with optimized machine learning

Strategy
Setup

Time
Frame: 5 minutes

Instruments:
GBPJPY, BTCUSD, Oil, Tesla, VIX, EURAUD, AUDUSD, AUDJPY, EURJPY,
NZDUSD, GBPUSD

Indicators:

Machine
Learning Lorentzian Classification (see pictures for settings)

MACD
with two options: (32, 64, 12) and very slow (64, 128, 12) – the
latter is optional due to the highly filtered nature of the Machine
Learning indicator

Trading
Rules

Buy
Signal

Machine
Learning buy arrow

MACD
> 0.

High precision 5-15 minute scalping with optimized machine learning

Sell
​​Signal

Machine
Learning sell arrow

MACD
< 0.

High precision 5-15 minute scalping with optimized machine learning

Exit
Strategy

Initial
stop loss below/above the previous swing low/high

Profit
target with a minimum stop loss ratio of 1.1:15 or using a trailing
stop

Conclusion

The
“High Precision 5-Minute Scalping with Machine Learning”
strategy employs machine learning and multivariate statistics to
follow trends, optimized for highly volatile instruments on a
5-minute timeframe. By performing calculations every 4 bars, it
ensures efficiency and adequate spacing between signals. Using a
Lorentzian distance metric and a slow MACD (32, 64, 12) as a trend
filter, the strategy is applicable to various currency pairs and
volatile assets like GBPJPY, BTCUSD, and Tesla. It follows clear
trading rules: 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 with 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.

High precision 5-15 minute scalping with optimized machine learning

High precision 5-15 minute scalping with optimized machine learning

High precision 5-15 minute scalping with optimized machine learning

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