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stock-market-analysis-with-r

Basic Technical Trading Analysis with R

stock-market-prediction

stock-market-prediction-clustering

Using Stock Market data and Multiple Clustering Algorithm to predict best approach

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

stock-market-predictions

Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.

stock-prediction

Smart Algorithms to predict buying and selling of stocks on the basis of Mutual Funds Analysis, Stock Trends Analysis and Prediction, Portfolio Risk Factor, Stock and Finance Market News Sentiment Analysis and Selling profit ratio. Project developed as a part of NSE-FutureTech-Hackathon 2018, Mumbai. Team : Semicolon

stock-prediction-1

The git is about Indian Stock market prediction.

stock-prediction-models

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

stock-price-prediction-with-indicators

The prediction is based on a recurrent neural network. The list of features includes MACD, Stochastic Oscillator, ATR, RSI etc.

stock-price-predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

stocks

Programs for stock prediction and evaluation

stocks-prediction-machine-learning-realtime-telegram

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:

stocks-trainer

This trainer allows the user to practice trading in the replay feature provided by tradingview.com

stock_analysis_for_quant

Different Types of Stock Analysis in Python, R, Matlab, Excel, Power BI

stock_find

Stock Data Management & Analysis Project: Python scripts to create and manage a SQLite database for stock data. Web scrapes tickers, fetches stock info, and stores daily prices. Future plans include advanced data analysis for valuable stock market insights.

sunode

WIP A low level, relatively complete wrapper of sundials/cvodes

supply-demand-deep-learning

leveraging deep learning + market profile theory to inform supply and demand trading

svg-captcha

A SVG Captcha library written in PHP with stunning Performance and independence of any third party software!

svg2kicad

svg to kicad footprint conversion tool

svgo

Go Language Library for SVG generation

swagger2-to-postman

Converter for swagger 2.0 JSON to Postman Collection

swarmit

SwarmIt is a Golang project I created to learn the language and challenge myself to bypass Google's infamous ReCaptcha. The usecase for this project was to find a practical way to automate the process of registering a large number of social media accounts while bypassing ReCaptcha.

swift-framework

Official Fritz SDK for Swift 4 and Objective-C

swiftybeaver

Convenient logging during development & release in Swift 2, 3 & 4

swiftyjson

The better way to deal with JSON data in Swift

swirl_courses

:mortar_board: A collection of interactive courses for the swirl R package.

system-design

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

ta

Technical Analysis Library using Pandas and Numpy