There are 1 repository under strategies topic.
[🔥updating ...] AI 自动量化交易机器人 AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
Strategies to Gekko trading bot with backtests results and some useful tools.
Open Source Trading Strategies & End-to-End solution connecting Metatrader4 & Metatrader5 💹 with Python with a simple drag and drop EA. Fully tested bug free & efficient solution for live & paper trading⭐ Full Documentation ready. Lightweight, efficient and stable implementation 🔥
Go-Guardian is a golang library that provides a simple, clean, and idiomatic way to create powerful modern API and web authentication.
Code Snippets + Tricks & Tips to help Pine Script developers
Curated list of noteworthy TradingView Strategies, Indicators and Alert Scripts for Trading Bots (PineScript)
Example Phoenix application using Überauth for authentication
A curated list of backlink, social signal opportunities, link building strategies and tactics, along with educational opportunities to help improve search engine results and ranking.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy 🔥
Example trading strategies to get you started with Jesse
Financial pipeline for the data-driven investor to research, develop and deploy robust strategies. Big Data ingestion, risk factor modeling, stock screening, portfolio optimization, and broker API.
Cryptocurrency trading platform
In the coming weeks this plans to become a Gekko plugin that reacts to market changes, finding and running only the most profitable strategies.
🤖📈 EA31337 strategies.
This library for Android will take any set of events and batch them up before sending it to the server. It also supports persisting the events on disk so that no event gets lost because of an app crash. Typically used for developing any in-house analytics sdk where you have to make a single api call to push events to the server but you want to optimize the calls so that the api call happens only once per x events, or say once per x minutes. It also supports exponential backoff in case of network failures
A Web Application that allows users to create dummy portfolios or watchlists to monitor or test their trading strategies. Written in Python using the Flask web framework.
GraphQL for Doctrine using Hydrators
Demonstrative examples for developing quantitative and systematic strategies
All about Iterated Prisoner's Dilemma. Python code and jupyter notebooks. See how to build new strategies and evaluate them.
【停止维护】新版本更新已迁移到 IBATS 项目组对应名称项目中。Auto Backtest Analysis Trade Framework 支持期货、数字货币进行量化交易,集成回测、分析、交易于一体。当前项目主要用于数字货币使用。
My strategies and indicators
Fundingrate Provider Dashboard
An SSO strategy for Remix Auth, based on the OAuth2Strategy
Analyze historical market data using Jupyter Notebooks
Trading bot real-time status manager
OctoBot evaluators package
Statistics and performance metrics in trading, CAGR, Sharpe, MAE, MFE, and others.
RetryKit is a package that implements a mechanism for retrying work based on strategies and outputs.
Contains various design strategies with the implementation of them on a small level with an example. This repo helps us to understand how and why one should implement various designs while creating applications.