Automating Technical Analysis Alternatives

Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
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Alternatives To akurgat/automating-technical-analysis
Project Name Stars Downloads Repos Using This Packages Using This Most Recent Commit Total Releases Latest Release Open Issues License Language
LongOnly/Quantitative-Notebooks 233 0 0 almost 6 years ago 0 0 apache-2.0 Jupyter Notebook
Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy
akurgat/automating-technical-analysis 182 0 0 about 2 years ago 0 5 mit Python
Using data analytics of popular trading strategies and indicators, to identify best trading actions based solely on the price action.
Metnew/neural-finance 49 0 0 about 6 years ago 0 2 apache-2.0 Python
Neural Network for HFT-trading [experimental]
melihbodur/Bitcoin_Analysis- 38 0 0 almost 5 years ago 0 Jupyter Notebook
Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.
Manudecara/Algo-Trading 21 0 0 over 4 years ago 0 0 mit
This is my github repository where I post trading strategies, tutorials and research on quantitative finance with R, C++ and Python. Some of the topics explored include: machine learning, high frequency trading, NLP, technical analysis and more. Hope you enjoy it!
kyhorne/trading_sim 19 0 0 about 7 years ago 0 2 mit Python
📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.
toadlyBroodle/bitcoin-analysis 6 0 0 about 6 years ago 0 0 MATLAB
Compile, analyse, plot cryptocurrency protocols, networks, marketplaces
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