Price now: 28.2k USD Range: (25.6, 29.5) Expected correction -2.4%
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This chart was created to accompany a blog post which explores leveraging machine learning (RNN: LSTM) using Tensorflow Keras and SHAP to determine which factors (indicators and correlations with Macro, such as oil futures prices, Fed Funds rate, consumer spending, etc) are found by the model to be the most predictive in nature. Findings will be posted in the comments.
LSTM neural networks generated a bullish signal for #USD_CAD
LSTM neural networks generated a bearish signal for #GBP_AUD
LSTM neural networks generated a bullish signal for #EUR_HKD
LSTM neural networks generated a bearish signal for #EUR_CAD
LSTM neural networks generated a bullish signal for #EUR_AUD
LSTM neural networks generated a bearish signal for #CAD_SGD
LSTM neural networks generated a bearish signal for #CAD_HKD
LSTM neural networks generated a bearish signal for #CAD_CHF
LSTM neural networks generated a BULLISH signal for #AUD_SGD
LSTM neural networks generated a bearish signal for #AUD_NZD
LSTM neural networks generated a bearish signal for #AUD_JPY
LSTM neural networks generated a bullish signal for #AUD_HKD
LSTM neural networks generated a bearish signal for #AUD_CHF
LSTM neural networks generated a bullish signal for #GBP_NZD
Parameters: Position Size : %1 Risk/Reward Ratio : 1/2.71 Stop-Loss : 17.292 Goal : 18.768 NOTE : Don't forget to look related ideas for seeing what i take as main structure for this trade. This time-frame contains more risks than 1W timeframe . You can select 1W time-frame stop-loss to make this trade less riskly (on Related Ideas) , best regards !