387 Open source projects that are alternatives of or similar to stock-market-prediction-via-google-trends

Monitoring and record(save) of data for Arduino and STM32

An open source simulated options brokerage and UI for paper trading, algorithmic interfaces and backtesting.

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

A curated list of gradient boosting research papers with implementations.

A virtual trading website to practice trading stocks using virtual money.

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

various dashing dashboard jobs

用户贷款风险预测

A practice project for machine learning and stop price prediction

AI比赛相关信息汇总

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

A Python-based stock screener to find stocks with potential breakout probability from NSE India.

Real time eye tracking for embedded and mobile devices.

Network Analysis for Financial Markets

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Cira algorithmic trading made easy. A Façade library for simpler interaction with alpaca-trade-API from Alpaca Markets.

Tiny Gradient Boosting Tree

Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Web app with Robinhood and TD Ameritrade integration, backtesting, and automated live trading. Nodejs and Angular 7

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Python application used to download, parse, and extract filings from the SEC Edgar Database (including 10-K, 10-Q, 13-D, S-1, 8-K, etc.)

住房月租金预测大数据赛TOP1

🤑 A free, fast, in-browser stock portfolio tracker

A full pipeline AutoML tool for tabular data

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

An extension of XGBoost to probabilistic forecasting

⚠️ Deprecated, see https://github.com/piquette/qtrn ⚠️

Original implementation of Calibrated Boosting-Forest

Intrinio NodeJS SDK for Real-Time Stock & Crypto Prices

关注AI模型上线、模型部署

💸 TradeByte - Stocks Trading Simulation WebApp

A repository for some of the code I used in kaggle data science & machine learning tasks.

Sina stock options crawler with CSV output 新浪上证ETF期权数据爬虫

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

Fantasy Premier League Stats, Visualizations & Analysis. ⚽ 📊 📈

2017第一届腾讯社交广告高校算法大赛Rank28_code

Ultra-fast matching engine written in Java based on LMAX Disruptor, Eclipse Collections, Real Logic Agrona, OpenHFT, LZ4 Java, and Adaptive Radix Trees.

Kaggle getting started competition examples

bamboolib - template for creating your own binder notebook

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

The IEX API provides any individual or academic, public or private institution looking to develop applications that require stock market data to access near real-time quote and trade data for all stocks trading on IEX.

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

🔥 📈 💸 Chart the Stock Market - FCC Challenge

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

Plain Stock Close-Price Prediction via Graves LSTM RNNs

Additional themes, scales, and geoms for ggplot2

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

Fetch stock quote data from Yahoo Finance

Python3 project applying Gaussian process regression for forecasting stock trends

quantitative security portfolio analysis. The analysis pipeline including data storage abstraction, alpha calculation, ML based alpha combining and portfolio calculation.

Python for Atmosphere and Ocean Scientists

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

https://events.kaspersky.com/hackathon/

An attempt to predict next day's stock price movements using sentiments in tweets with cashtags. Six different ML algorithms were deployed (LogReg, KNN, SVM etc.). Main libraries used: Pandas & Numpy

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

📱📈An elegant, interactive and flexible charting library for mobile.

A Repository consisting of various visualisation libraries and tools

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

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