211 Open source projects that are alternatives of or similar to alpha-vantage-cli

Unsupervised Learning to Market Behavior Forecasting Example

Download SEC filings from the EDGAR database using Python

Algorithmic Trading : A python framework to run backtest on stocks using your own custom algorithmic strategies

Alpha Vantage PHP Client

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

A web dashboard for the free trading platform Robinhood using Ruby on Rails and a private API

A machine learning program that is able to recognize patterns inside Forex or stock data

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 …

various dashing dashboard jobs

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

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

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

✨ Download historical price tick data for Crypto, Stocks, ETFs, CFDs, Forex via CLI and Node.js ✨

Fetch data from National Stock Exchange, India

Alpaca Trading API integrated with backtrader

Network Analysis for Financial Markets

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

R code for finance

An intelligent recommender system for stock analyzing, predicting and trading

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

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

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

TD Ameritrade Java Client

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.)

EasyLanguage indicators and systems for TradeStation

Tensorflow 2 Reinforcement Learning Cookbook, published by Packt

Official Python library for Alice Blue API trading

Automatic trading bot (WIP)

Live Trading. Please star.

stock market analysis

Technical analysis library for Rust language

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

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

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

Stock market forecasting using the ARIMA model.

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

quant framework for stock

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

🔬 A curated list of awesome machine learning strategies & tools in financial market.

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

💸💸 Curated list of investment & finance related resources

Interactive app to monitor market using Python

A collection of ruby scripts for those who live in the command line

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

Tuchart is a visualization interface for the Chinese stock market. Tuchart supports candlestick charts, price charts, tick data, high-frequency data and distribution of top shareholders for individual stocks. Tuchart是一个基于pyqt和echarts的股票视觉化应用。Tuchart 支持日／月线，分笔，高频数据，前十股东分笔的视觉化

playing idealized trading games with deep reinforcement learning

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.

Python client for Finnhub API

Stock market helper: financial data, multipliers (PE, PS, PEG etc), insider selling, debt and short volume charts from various sources. All in one place!

Here you can find all the quantitative finance algorithms that I've worked on and refined over the past year!

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

Open Source Options Analytics Platform.

zipline 是开源量化平台，但是当前zipline 并不支持A股的测试，很多在线平台如优矿，聚宽等都是基于zipline，本项目改进zipline，使得zipline支持A股测试

Simple algorithmic stock and option trading for Node.js.

A practice project for machine learning and stop price prediction

Software designed to identify and monitor social/historical cues for short term stock movement

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

Technical experimentations to beat the stock market using deep learning 📈

API for Indian Stock Market's NSE and BSE.

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