OPEN-SOURCE SCRIPT

Machine Learning: LVQ-based Strategy

Aggiornato
LVQ-based Strategy (FX and Crypto)

Description:

Learning Vector Quantization (LVQ) can be understood as a special case of an artificial neural network, more precisely, it applies a winner-take-all learning-based approach. It is based on prototype supervised learning classification task and trains its weights through a competitive learning algorithm.

Algorithm:

Initialize weights
Train for 1 to N number of epochs
- Select a training example
- Compute the winning vector
- Update the winning vector
Classify test sample

The LVQ algorithm offers a framework to test various indicators easily to see if they have got any *predictive value*. One can easily add cog, wpr and others.
Note: TradingViews's playback feature helps to see this strategy in action. The algo is tested with BTCUSD/1Hour.

Warning: This is a preliminary version! Signals ARE repainting.
***Warning***: Signals LARGELY depend on hyperparams (lrate and epochs).

Style tags: Trend Following, Trend Analysis
Asset class: Equities, Futures, ETFs, Currencies and Commodities
Dataset: FX Minutes/Hours+++/Days
Note di rilascio
Minor fix.
Note di rilascio
Minor edit.
Note di rilascio
Added signal reversal. Some assets and TFs require inverting the signal. Mind this is the work in process.
AImachinelearningMoving AveragesTrend AnalysisVolatility

Script open-source

In pieno spirito TradingView, l'autore di questo script lo ha pubblicato open-source, in modo che i trader possano comprenderlo e verificarlo. Un saluto all'autore! È possibile utilizzarlo gratuitamente, ma il riutilizzo di questo codice in una pubblicazione è regolato dal nostro Regolamento. Per aggiungerlo al grafico, mettilo tra i preferiti.

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