276 Open source projects that are alternatives of or similar to mftool

Use Yahoo Finance or Google's 'hidden' Finance APIs to retrieve current stock and forex data as well as historic quotes

A bunch of downloaders and parsers for data delivered from B3

📊 Python tool to scrape real-time information about ETFs from the web and mixing them together by proportionally distributing their assets allocation

IP ASN History to find ASN announcing an IP and the closest prefix announcing it at a specific date

Stock indicator technical analysis library package for .NET. Send in historical price quotes and get back desired technical indicators. Nothing more. It can be used in any market analysis software using standard OHLCV price quotes for equities, commodities, forex, cryptocurrencies, and others. We had private trading algorithms, machine learning, and charting systems in mind when originally creating this community library. Current indicators include: Accumulation/Distribution Line (ADL), Aroon Oscillator, Arnaud Legoux Moving Average (ALMA), Average Directional Index (ADX), Average True Range (ATR), Awesome Oscillator (AO), Balance of Power (BOP), Beta Coefficient, Bollinger Bands®, Chaikin Money Flow (CMF), Chaikin Oscillator, Chandelier Exit, Choppiness Index (CHOP), Commodity Channel Index (CCI), ConnorsRSI, Correlation Coefficient, Donchian Channels, Double Exponential Moving Average (DEMA), Elder-ray Index, Exponential Moving Average (EMA), Force Index, Fractal Chaos Bands (FCB), Gator Oscillator, Heikin-Ashi, Hull Moving Average (HMA), Ichimoku Cloud, Kaufman's Adaptive Moving Average (KAMA), KDJ Index, Keltner Channels, Momentum Oscillator, Money Flow Index (MFI), MESA Adaptive Moving Averages (MAMA), Moving Average Convergence/Divergence (MACD), Moving Average Envelopes, On-balance Volume (OBV), Parabolic SAR (stop and reverse), Percentage Volume Oscillator (PVO), Pivot Points and Rolling Pivot Points, Price Channels, Price (Comparative) Relative Strength (PRS), Price Momentum Oscillator (PMO), Rate of Change (ROC), Relative Strength Index (RSI), R-Squared (Coefficient of Determination), Simple Moving Average (SMA), Slope and Linear Regression, Smoothed Moving Average (SMMA), Standard Deviation, Stoller Average Range Channel (STARC) Bands, Stochastic Oscillator, Stochastic RSI, SuperTrend, Tillson T3 Moving Average, Triple Exponential Moving Average (TEMA), Triple EMA Oscillator (TRIX), True Strength Index (TSI), Ulcer Index, Ultimate Oscillator, Volume Simple Moving Average, Volume Weighted Average Price (VWAP), Vortex Indicator (VI), Weighted Moving Average (WMA), Williams %R, Williams Alligator, Williams Fractal, and Zig Zag.

Digital Signal Processing Indicators For Market Data.

Programs for stock prediction and evaluation

Alpaca algo stock trading bot

Download SEC filings from the EDGAR database using Python

💸 Finance for fun | Not an investment advice 💸

R code for finance

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

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

Simple javascript library containing methods for financial technical analysis

PT_QuantBaseApi python version

Python client for tardis.dev - historical tick-level cryptocurrency market data replay API.

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

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

Asynchronous, event-driven algorithmic trading in Python and C++

Python client for Finnhub API

Interactive Brokers wrapper 🚩

modular quant framework.

Python package that reads the historical quote files from BM&FBovespa (Brazillian Stock Exchange)

An intelligent recommender system for stock analyzing, predicting and trading

Autonomous stocks trading script

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

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

Python library for extracting real-time data from Bombay Stock Exchange (India)

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

EasyLanguage indicators and systems for TradeStation

Nasdaq Data Link provides a modern and efficient method of delivery for real-time exchange data and other financial information. This repository provides a Java SDK for developing applications using Nasdaq Data Link's real-time data.

Fundamental stock data and yahoo/google ticker symbols for several indices.

Python program that rates stocks out of 100 based on valuation, profitability, growth, and price performance metrics, relative to the company's sector.

Stock market forecasting using the ARIMA model.

Algorithmic trading infrastructure in Python.

various dashing dashboard jobs

Official Python library for Alice Blue API trading

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

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

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

Downloads historical EOD (end of day) prices from yahoo finance

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 …

Network Analysis for Financial Markets

stock market analysis

Automatic trading bot (WIP)

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

TD Ameritrade Java Client

IEX Trading library to parse TOPS and DEEP multicast packets

Interactive app to monitor market using Python

Alpaca Trading API integrated with backtrader

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.)

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

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

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

quant framework for stock

🔬 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

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