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stock-market-trend-forecasting

A novel stock market trend forecasting system using fuzzy logic

stock-prediction-ai

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stock-prediction-using-lstm

This Project is predicting stocks for 32 companies with error less than 1% using LSTM Networks.

stock-project

stock-tft

Stock price prediction using a Temporal Fusion Transformer

stock-trading-bot

A bot that buys/sells stocks based on a given trading strategy through the use of Python automation

stock-trend-prediction-with-technical-indicators

stock_analysis_for_quant

Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau

stock_automata

stock_forecasting

stock_market_live_trading_using_ai

Online trading using Artificial Intelligence Machine leaning with basic python on Indian Stock Market, trading using live bots indicator screener and back tester using rest API and websocket 😊

stock_prediction

基于神经网络的通用股票预测模型 A general stock prediction model based on neural networks

stock_predictor_app

Stock predictor app for NASDAQ stocks served on Streamlit. Data engineering side uses publicly available APIs to curate and form data, data science side offers a myriad of models.

stock_price_trend_fft

Stock price trend analysis using Fourier transform

stock_project

stockbot

Alpaca algo stock trading bot

stockindex500

Trend Prediction for High Frequency Trading

stockprediction

Hobby project in time series analysis with stock market data by comparing different methods for time series prediction, including ARIMA, SARIMAX, LSTM, and transformer.

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stockpredictioncpp

Buy and sell predictions for stock

stocks

stocks-prediction-machine-learning-realtime-tensorflow

Predict operation stocks points (buy-sell) with past technical patterns, and powerful machine-learning libraries such as: Sklearn.RandomForest , Sklearn.GradientBoosting, XGBoost, Google TensorFlow and Google TensorFlow LSTM..Real time Twitter:

stocksight

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

stockstats

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

stocky

Library that will generate ISIN to symbol mapping from NSE, BSE, Yahoo, and Zerodha

stokastik

Algorithms and Codes for my machine learning blog

store_zerodha_livedata

strategies

quantitative trading with Javascript, Python, C++, Blockly, MyLanguage(麦语言)

strategies-1