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

Let Python optimize the best stop loss and take profits for your TradingView strategy.

Python interface to IEX and IEX cloud APIs

National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

Download Bovespa Stock Market fundamentals with Python.

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

This is the Docker container based on open source framework XGBoost (https://xgboost.readthedocs.io/en/latest/) to allow customers use their own XGBoost scripts in SageMaker.

Stock market watchlist made with Flutter

Small package that helps to find support and resistance levels and plot them on chart

stratigraphic machine-learning - active work moved to Predictatops

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

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

A practice project for machine learning and stop price prediction

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

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

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

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

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

💸 TradeByte - Stocks Trading Simulation WebApp

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

bamboolib - template for creating your own binder notebook

🔥 📈 💸 Chart the Stock Market - FCC Challenge

A 100%-Julia implementation of Gradient-Boosting Regression Tree algorithms

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

An Insomnia Workspace for Alpaca API

Show how to perform fast retraining with LightGBM in different business cases

Digital Signal Processing Indicators For Market Data.

The easiest way to embed MongoDB Charts visualisations into your web app

💸 Finance for fun | Not an investment advice 💸

📒 Experiment tracking tool and model registry

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.

Predicting Google’s stock price using regression

Interactive Brokers - TWS API simplified client

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

⏱ Benchmarks of machine learning inference for Go

The best Yahoo Finance library with the power of Swift

Algorithmic trading infrastructure in Python.

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Implemented an A/B Testing solution with the help of machine learning

Python library for getting real-time Mutual Funds data in India

Rust bindings for XGBoost.

Create beautiful and interactive Google Trends globe visualizations with ease

B3Provider is static and market data feeder for instruments traded at B3 Stock Exchange (former Bm&F Bovespa) Brazil.

Demo project of creating an interactive analytical tool for stock market using CAPM.

Automate swing trading using deep reinforcement learning. The deep deterministic policy gradient-based neural network model trains to choose an action to sell, buy, or hold the stocks to maximize the gain in asset value. The paper also acknowledges the need for a system that predicts the trend in stock value to work along with the reinforcement …

Alpha Vantage PHP Client

Building Decision Trees From Scratch In Python

Stock trading algorithm written in Python for TD Ameritrade.

R Shiny app to compare the relative performance of cryptos and equities.

📊 Python Flask game that consolidates data from Nasdaq, allowing the user to practice buying and selling stocks.

Stock Market Predictor with LSTM network. Web scraping and analyzing tools (ohlc, mean)

머신러닝/딥러닝(PyTorch, TensorFlow) 전용 도커입니다. 한글 폰트, 한글 자연어처리 패키지(konlpy), 형태소 분석기, Timezone 등의 설정 등을 추가 하였습니다.

Alpaca Trading API integrated with backtrader

Convert XGBoost's DMatrix format to np.array

Technical analysis library for Rust language

Automatic machine learning for tabular data. ⚡🔥⚡

Animated Visualizations of Popular Machine Learning Algorithms

💰 stocks.js is an easy-to-use stock market API for Javascript

An application that allows you to design and test your own stock trading algorithms in an attempt to beat the market.

Application that calculates the key values from financial statements of publicly traded companies

python tools for Finance with the functionality of indicator calculation, business day calculation and so on.