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SiRyno's repositories

SMA Crossover strategy to MSFT stock. Build using Google Colab Jupyter Notebook MVP

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Example notebook for Alpaca API and Google Colab

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Python client for Alpaca's trade API

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Uses Deep Convolutional Neural Networks (CNNs) to model the stock market using technical analysis. Predicts the future trend of stock selections.

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Analyzing the stock quotes and forecasting the prices on the basis of historical data using Artificial Intelligence.

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Contains all code related to using HMMs to predict stock market prices.

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Analysis of the stock market using Machine Learning Techniques

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Tehran Stock Market Crawler and Analyzer

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Forecasting directional movements of stock prices for intraday trading using LSTM and random forest

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A python stock screener that calculates market breadth and selects US stocks on a daily basis

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Stock market analyzer and predictor using Elasticsearch, Twitter, News headlines and Python natural language processing and sentiment analysis

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