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stock market timeseries trendline predictions

Job Description:

python project.

given a stockmarket time series, draw support and resistance trendlines above and below the current channel. label swing points.

recommend using python trendln repo. this will be used as training for the next part. plot results and save all data in unique filenames in a subdirectory

using the above train a network, likely a boosted essemble to predict given a time series the levels of the support resistance points above and below a point on the time series. identify suitable indicators to be added for training, sma, hurst etc . produce appropriate metrics from training

ability to save and restore model and run predictions and run hyper parameter search

data will be provided. prefer pytorch

Compétences : Python, Architecture Logicielle, Pytorch, Deep Learning

Concernant le client :
( 0 commentaires ) southport, Australia

Nº du projet : #27465792

3 freelances font une offre moyenne de 147 $ pour ce travail

mahmoudralizadeh

Hi there Just as a short introduction, we have a team of experienced Machine Learning and Deep Learning Experts who would be glad to help you shape your requirements into products. They have built many machine learning Plus

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hayat38402

I have extensive experience in the domains of:  Neural Network/ Natural Language Processing  Machine learning/Data Mining  Deep Learning and Computer Vision  Image Recognition & Artificial Intelligence  AI text a Plus

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