213 Open source projects that are alternatives of or similar to PyTradier

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Poloniex python API client for humans

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Python library to Fetch & Analyze Stock Market data.

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

Ebay NodeJS Wrapper

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

Framework for creating and running trading strategies. Blatantly stolen copy of qtpylib to make it work for Indian markets.

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IQFeed.CSharpApiClient is fastest and the most well-designed C# DTN IQFeed socket API connector available

Project on financial forecasting using ML. Made by Anson Wong, Juan Garcia & Gudbrand Tandberg

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Frontend client for Dalal Street

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

🤖 Predict the stock market with AI 用AI预测股票市场

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

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Interactive app to monitor market using Python

Application and data for analyzing and structuring portfolios for climate investing.

A practice project for machine learning and stop price prediction

🦄 The unofficial Python client for the Uniswap exchange.

An Elegant Financial Markets Library Written in Swift

Attempt to predict future stock prices based on Google Trends data.

💸 TradeByte - Stocks Trading Simulation WebApp

Digital Signal Processing Indicators For Market Data.

Stock trading algorithm written in Python for TD Ameritrade.

💸 Finance for fun | Not an investment advice 💸

📈🤑💰 Advanced trading tools and resources for Robinhood Web.

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

深度学习与股票分析预测

Stocktwits market sentiment analysis in Python with Keras and TensorFlow.

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

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

Algorithmic trading infrastructure in Python.

SSE 50 index options crawler 上证50期权数据爬虫

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 …

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

Algorithmic trading framework for cryptocurrencies.

A stock portfolio manager that provides neural net based short-term predictions for stocks and natural language processing based analysis on community sentiments.

Shioaji all new cross platform api for trading ( 跨平台證券交易API )

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

Simple FIX protocol implementation for Python

The Open Trading Platform API is an independent module for managing API requests from the UI module

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

Using ML to create a ForEx trader to invest my personal finances to get rid of student debt

An unofficial API for the trading platform Degiro, with the ability to get real time data and historical data

📦📈 EA31337 framework (MQL library for writing trading Expert Advisors, indicators and scripts)

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

Example of order book modeling.

deprecated

Stock Ticker plugin for Stream Deck

Matlab Module for Stock Market Prediction using Simple NN

Data Analysis Studies on Value Investing

📈A command line tool to view stock charts in the terminal.

📈📆 Backtest trading strategies concurrently using historical chart data from various financial exchanges.

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.

A Python library for sentiment analysis of various tickers from the latest news by trusted sources, and tools to plot results. 📈📊📰