Stock-Prediction-Models, Gathers machine learning and deep learning models for Stock forecasting, included trading bots and simulations. I code LSTM Recurrent Neural Network and Simple signal rolling agent inside Tensorflow JS, you can try it here, huseinhouse.com/stock-forecasting-js, you can download any historical CSV and upload dynamically.
deep-learning monte-carlo trading-bot lstm stock-market stock-price-prediction seq2seq learning-agents stock-price-forecasting evolution-strategies lstm-sequence stock-prediction-models deep-learning-stock strategy-agent monte-carlo-markov-chainPersonae is a repo that implements papers proposed methods in Deep Reinforcement Learning & Supervised Learning and applies them to Financial Market. It will start from 2018-08-24 to 2018-09-01 a timestamp that I successfully found a job.
reinforcement-learning supervised-learning stock-data trading paper stock time-series-prediction stock-price-predictionGekko Trading Bot. Repository of strategies which I found at Git and Google, orginal source is in README or .js file. Strategies was backtested, results are in backtest_database.csv file. I used ForksScraper and Gekko BacktestTool to create content of this repository.
gekko strategies gekko-strategies gekko-backtest backtest-database cryptocurrency cryptocurrencies crypto cryptocurrency-exchanges trading-bot trading-strategies trading-algorithms trading-platform stock stock-price-prediction hodl rsi technical-analysis trading-simulator tradingWe use neural networks applied to stock market data from the Deutsche Börse Public Dataset (PDS) to make predictions about future price movements for each stock. Specifically, we make a prediction on the direction of the next minute's price change using information from the previous ten minutes. We use this to power a simplified trading strategy to show potential returns.
tensorflow stock-price-prediction keras deutsche-boerseStock analyzer and stock predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis. How much do emotions on Twitter and news headlines affect a stock's price? Let's find out ... Edit config.py and modify NLTK tokens required/ignored and twitter feeds you want to mine. NLTK tokens required are keywords which must be in tweet before adding it to Elasticsearch (whitelist). NLTK tokens ignored are keywords which if are found in tweet, it will not be added to Elasticsearch (blacklist).
elasticsearch kibana stock-market stock-prediction tweepy sentiment-analysis textblob twitter-streaming-api twitter-sentiment-analysis nltk natural-language-processing twitter vader-sentiment-analysis stock-price-prediction stock-analysisStock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016
rnn keras tensorflow stock-price-prediction lstm cnn max-poolingCalculates Technical indicators from stock market, will eventually make automatic buy/sell/hold decisions. To run this on your machine.
finance cplusplus cpp cpp11 stock-market iex stock-price-prediction algotrading stocks stock-data financial-data financial-analysis algorithmic-trading financial-markets cplusplus-11 stock-prediction stock-analysis stock-trading iextrading iex-api
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