Search Results for "trading"
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Showing 49 open source projects for "trading"
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1
ML for Trading
Code for machine learning for algorithmic trading, 2nd edition
...Using deep learning models like CNN and RNN with financial and alternative data, and how to generate synthetic data with Generative Adversarial Networks, as well as training a trading agent using deep reinforcement learning. -
2
Ninjabot
A fast cryptocurrency platform for trading bot in Go
A fast cryptocurrency trading bot framework implemented in Go. Ninjabot permits users to create and test custom strategies for spot markets. Ninjabot is an open-source platform that provides tools to implement custom strategies and backtests for trading cryptocurrencies in Go. Ninjabot CLI provides utilities commands to support backtesting and bot development. -
3
ta4j
A Java library for technical analysis
...Then we have to build our trading strategy. It is made of two trading rules, one for entry, the other for exit. Ta4j comes with a set of basic trading rules/strategies which can be combined using boolean operators. Trading strategies can be easily compared according to a set of analysis criteria. Ta4j can also be used for live trading with more complicated strategies. -
4
python-binance
Binance Exchange API python implementation for automated trading
...Websocket handling with reconnection and multiplexed connections. Symbol Depth Cache. Historical Kline/Candle fetching function. Withdraw functionality. Deposit addresses. Margin Trading. Futures Trading. Vanilla Options. Support other domains (.us, .jp, etc). The breaking changes include the migration from wapi to sapi endpoints which are related to the wallet endpoints detailed in the Binance Docs. -
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5
Zipline Reloaded
Zipline, a Pythonic Algorithmic Trading Library
Zipline Reloaded is a maintained Python library for event-driven backtesting of algorithmic trading strategies. It continues the original Zipline project after Quantopian ended operations. Developers write trading algorithms while the engine simulates orders, market events, portfolio changes, and strategy performance over historical data. Common statistics such as moving averages and linear regression are available within algorithm workflows. -
6
TradingAgents
Chinese Financial Trading Framework Based on Multi-Agent LLM
TradingAgents-CN is a Chinese-enhanced, multi-agent LLM framework aimed at building financial analysis and trading-oriented workflows, with an emphasis on collaboration between specialized agents rather than a single monolithic prompt. It organizes market-related tasks into roles and stages so different agents can contribute research, reasoning, aggregation, and decision support in a structured pipeline. The project is oriented toward practical usage, including a stack that can be run in a modern development environment and commonly paired with containerized backends, configuration files, and service components. ... -
7
Sov.ai
A curated list of practical financial machine learning tools and apps
Financial Machine Learning is a curated directory of practical tools, repositories, datasets, papers, and educational resources for quantitative finance. It organizes material across trading, forecasting, portfolio construction, risk, alternative data, and financial machine learning techniques. Dedicated sections cover supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, and time-series analysis. Entries include descriptions, popularity data, maintenance indicators, and editorial ratings to help readers compare resources. ... -
8
WalletConnect v2.x.x
WalletConnect Monorepo
...With WalletConnect, you can connect your wallet with hundreds of apps, opening the doors to a new world of web3 experiences. Uniswap. Swap, earn, and build on the leading decentralized crypto trading protocol. Foundation. Create, collect and sell NFTs.Install nodejs and npm. Install python3 and ensure python cli is linked (required to build some npm modules). Install workspace dependencies i.e. run npm install from root folder. Install redis. We recommend running it as a brew service. Pull and start ts-relay server (separate repo) Ensure everything runs correctly by executing npm run check. -
9
easyquant
Stock quantification framework to support market acquisition
Trading support includes several Chinese broker clients and Xueqiu simulated portfolios. Strategies inherit from a common template and receive events containing current market information and account access. The repository includes example strategies, custom engines, account configuration files, logging, timers, and testing material. -
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10
Node Binance API
Node Binance API is an asynchronous node.js library
This project is designed to help you make your own projects that interact with the Binance API. You can stream candlestick chart data, market depth, or use other advanced features such as setting stop losses and iceberg orders. This project seeks to have complete API coverage including WebSockets. -
11
CCXT
JavaScript/TypeScript/Python/C#/PHP cryptocurrency trading API
The ccxt library is a collection of available crypto exchanges or exchange classes. Each class implements the public and private API for a particular crypto exchange. All exchanges are derived from the base Exchange class and share a set of common methods. To access a particular exchange from ccxt library you need to create an instance of corresponding exchange class. Supported exchanges are updated frequently and new exchanges are added regularly. -
12
Librelancer
A re-implementation of Freelancer
Librelancer is an open-source reimplementation of the engine behind Freelancer, the iconic 2003 space trading and combat simulation game by Microsoft. Written in C# and powered by OpenGL and modern game development practices, Librelancer faithfully replicates the original gameplay while providing a flexible codebase for modding, analysis, and future enhancements. It supports original assets and is designed to be both a preservation project and a foundation for new space simulation games inspired by Freelancer’s legacy. -
13
ThetaGang
ThetaGang is an IBKR bot for collecting money
ThetaGang is an IBKR trading bot for collecting premiums by selling options using "The Wheel" strategy. The Wheel is a strategy that surfaced on Reddit but has been used by many in the past. This bot implements a slightly modified version of The Wheel, with my own personal tweaks. The strategy, as implemented here, does a few things differently from the one described in the post above. -
14
µWebSockets
Compliant web server for the most demanding of applications
...We've been fully standards compliant with a perfect Autobahn|Testsuite score since 2016. Companies with everything to lose rely on µWebSockets on a daily basis - we power the trading APIs of Bitfinex.com & Kraken.com, handling volumes of multiple billions of USD every day. Other companies include Trello, where µWebSockets is serving their 50 million users with real-time board updates. -
15
Synthetix
Synthetix Solidity smart contracts
Synthetix is a new financial primitive enabling the creation of synthetic assets, offering unique derivatives and exposure to real-world assets on the blockchain. Leveraging the Synthetix debt pool and our innovative liquidity framework, our traders are guaranteed to have some of the best price execution around, with little to no slippage and fills you can’t get elsewhere. Capture the price movements of popular cryptocurrencies, fiat currencies, stocks, commodities and more with zero... -
16
zvt
Modular quant framework
For practical trading, a complex algorithm is fragile, a complex algorithm building on a complex facility is more fragile, complex algorithm building on a complex facility by a complex team is more and more fragile. zvt wants to provide a simple facility for building a straightforward algorithm. Technologies come and technologies go, but market insight is forever. -
17
Steam Game Idler
Farm Steam trading cards, manage achievements, and idle games
Farm Steam trading cards, manage achievements, and idle games automatically — an all-in-one alternative to ArchiSteamFarm, Steam Achievement Manager, and Idle Master Full Windows and Linux support. No local Steam client required https://steamgameidler.com -
18
LombokCharts
Canvas and SVG renderers, LTTB decimation,real-time streaming layer
LombokCharts A zero-dependency charting library for the browser. It pairs a small grammar-of-graphics core (Data → Scale → Mark) with pluggable Canvas and SVG renderers, LTTB decimation, and a real-time streaming layer — so the same API draws a five-point bar chart or a five-million-point line without changing shape. -
19
pytrade
Python functions for trading
Python functions for trading. Fonctions Python pour le trading. -
20
LMAX Disruptor
High performance inter-thread messaging library
LMAX aims to be the fastest trading platform in the world. Clearly, in order to achieve this we needed to do something special to achieve very low-latency and high-throughput with our Java platform. Performance testing showed that using queues to pass data between stages of the system was introducing latency, so we focused on optimising this area. The Disruptor is the result of our research and testing. -
21
Robin-Stocks API Library
This is a library to use with Robinhood Financial App
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. The code is simple to use, easy to understand, and easy to modify. With this library, you can view information on stocks, options, and cryptocurrencies in real-time, create your own robo-investor or trading algorithm, and improve your programming skills. ... -
22
quantitative
Quantized transactions python3
...The README and associated lessons walk the user through implementing algorithms, likely covering data handling, backtesting, and maybe simple trading logic. As an open-source educational resource, it’s designed for Python users interested in automatic trading, algorithmic strategies, and financial data analysis. -
23
Blankly
Easily build, backtest and deploy your algo in just a few lines
...Blankly is the first framework to enable developers to backtest, paper trade, and go live across exchanges without modifying a single line of trading logic on stocks, crypto, and forex. Every model needs to figure out how to buy and sell. We make it super easy for you so you can focus on building better trading algos. Your models can run on any platform, and on any supported exchange. We make that as easy as just changing one line of code. -
24
Node Binance Trader NBT
Cryptocurrency trading strategy & portfolio management development
...You will then need to retrieve your Binance API keys from Binance. They will need to allow trading and margin wallet access. Heroku only gives dyno's on its free tier 550 hours of run time per month. This is just short of what you will need to keep your new trading bot up and running 24/7. But by simply adding your credit card to your Heroku account your allowance is extended to 1000 hours, which is plenty. -
25
Zipline
Zipline, a Pythonic algorithmic trading library
Zipline is a Pythonic algorithmic trading library. It is an event-driven system for backtesting. Zipline is currently used in production as the backtesting and live-trading engine powering Quantopian -- a free, community-centered, hosted platform for building and executing trading strategies. Quantopian also offers a fully managed service for professionals that includes Zipline, Alphalens, Pyfolio, FactSet data, and more.
