cTraderFixPy
nautilus_trader
| cTraderFixPy | nautilus_trader | |
|---|---|---|
| 1 | 3 | |
| 35 | 1,570 | |
| - | 4.5% | |
| 0.0 | 10.0 | |
| over 1 year ago | 1 day ago | |
| Python | Python | |
| MIT License | GNU Lesser General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cTraderFixPy
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Spotware Community Team Releases FIX API Python Examples
Our community team is happy to announce the release of a collection of examples demonstrating how to use Python with cTrader FIX API! Now it becomes much easier for you to use the FIX API with one of the most popular programming languages. The examples include a console application, a web application and a Jupyter Notebook. You can access the code samples from the project’s GitHub repository or download the package from PyPi.
nautilus_trader
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Is NautilusTrader compatible with MetaTrader5 Python Package?
I recently found NautilusTrader. According to NautilusTrader, it can be integrated with Brokers/Exchange that provides REST, WebSocket or FIX API. Not sure if there is a work around to integrate MetaTrader5 Python to NautilusTrader.
- Using a no-code platform to create, optimize, and deploy an automated trading strategy
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Building your own backtesting tool (Python)
I use Nautilus Trader and it's been great, maybe a bit difficult to get started but worth it IMO.
What are some alternatives?
trading-server - Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.
pomegranate - Fast, flexible and easy to use probabilistic modelling in Python.
backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
sports-betting - Collection of sports betting AI tools.
AutoTrader - A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.
FX-Signal-Copier-Telegram-Bot - Telegram bot used to enter trades directly from platform onto MT4 account with calculated trade information.
AlphaPy - Python AutoML for Trading Systems and Sports Betting
Wizardry - 💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
shrimpy-python - Shrimpy’s Developer Trading API is a unified way to integrating trading functionality across every major exchange. Collect historical market data, access real-time websockets, execute advanced trading strategies, and manage an unlimited number of users.