PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop
backtesting.py
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| PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop | backtesting.py | |
|---|---|---|
| 83 | 25 | |
| 561 | 4,825 | |
| - | - | |
| 0.0 | 0.0 | |
| 7 months ago | 29 days ago | |
| Python | Python | |
| - | GNU Affero General Public License v3.0 |
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PyTrader-python-mt4-mt5-trading-api-connector-drag-n-drop
backtesting.py
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Python developers -- what broker and api do you use?
We chose backtesting.py for a backtesting framework. There are several to choose from but that one seems like the most well-supported and actively worked on at the moment.
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How do you backtest with IBKR Data?
The process might vary a bit based on what you want to trade, but I've had some success with back-testing by using the IBKR API to download historical data for the stocks I want, then plugging in that data to some other back-testing framework, like https://kernc.github.io/backtesting.py/
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Anyone here built backtest/alpha visualization/exploration dashboard(s)?
https://kernc.github.io/backtesting.py/ offers nice way to zoom backtesting. It has some bugs, but good for visualization.
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What platform do you use to backtest historical millisecond tick data?
Are there any free trading platform options to import and backtest millisecond historical tick data? Do you use something like https://github.com/kernc/backtesting.py and then translate algorithms into mql4/5 or pinescript?
- GitHub - kernc/backtesting.py: Backtest trading strategies in Python.
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Where/how do I “import backtesting” and other programs? TY!
But even if you don't know that, you can Google the library to find its documentation and installation instructions - in this case, here where it does indeed tell you to run pip install backtesting.
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What are your 2022 success stories? It's been a long year. You deserve to brag.
Sure. My strategy is actually very simple using common indicators like MACD and RSI. Most of the code is actually based on https://github.com/kernc/backtesting.py and I use it to check whether I should buy or sell on a particular day. Hope this helps!
- Backtesting.py - interpreting the generated chart
- How hard would this be?
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Bot development best practices for making backtesting easier?
I'm leaning towards using the backtesting.py library, but from the example on their main page, it looks like you need to program your strategy using their library?
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.
backtrader - Python Backtesting library for trading strategies
EA31337 - 🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
Account-Protector - Automate emergency position closing and autotrading termination using a multi-setting expert advisor.
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
EA31337-Libre - 🤖📈 EA31337 Libre - free and open source Forex trading robot for MT4/MT5 platforms
lumibot - Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
Wizardry - 💫 Wizardry is an open-source CLI for building powerful algorithmic trading strategies 交易框架
gym-anytrading - The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
FX-1-Minute-Data - HISTDATA - Dataset composed of all FX trading pairs / Crude Oil / Stock Indexes. Simple API to retrieve 1 Minute data (and tick data) Historical FX Prices (up to date).
blankly - 🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.