zipline
FinGPT
zipline | FinGPT | |
---|---|---|
14 | 11 | |
17,072 | 11,485 | |
0.4% | 2.6% | |
0.0 | 9.5 | |
3 months ago | 6 days ago | |
Python | Jupyter Notebook | |
Apache License 2.0 | MIT License |
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.
zipline
- Ask HN: How to Get into Quantitative Trading?
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Open source backtesting software
https://github.com/quantopian/zipline (event-driven)
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10 FinTech APIs every Indian developer should bookmark
Zipline by Quantopian: An Open-Source tool for algorithmic trading. It is a platform for developing and testing quantitative trading strategies using Python.
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Backtesting Engine Design Primers
For personal use only. I'm currently looking at QuantConnect's LEAN and Quantopian's Zipline (which hasn't seen any updates since 2020, presumably because Quantopian was dissolved).
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[D] Doing my (bachelor) thesis on RL. Which topic do you like best?
(1) I remember there were decent libraries for this setting a while back. Maybe take a look at Quantopian/Zipline.
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Best Backtesting Libraries (Python)
zipline – Zipline is a Pythonic algorithmic trading library. It is an event-driven system that supports both backtesting and live trading.
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How to statistically compare the performance of two strategies?
I found two opensource tools 1. .https://github.com/quantopian/zipline Quantopian 2. https://analyzingalpha.com/backtrader-backtesting-trading-strategies backtrader
- Formula for slippage?
- Online Portfolio Selection - Research paper implementation and backtest
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Best Backtesting software?
Some of the notable libraries in Python are backtesting.py, bt and zipline. Personally I like bt the most, as its tree model makes the most intuitive sense.
FinGPT
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GPT-4, without specialized training, beat a GPT-3.5 class model that cost $10B
There is also the open source FinGPT, that is claimed to beat GPT4 in some benchmarks at a fine tuning cost of $17.25.
https://github.com/AI4Finance-Foundation/FinGPT
- FLaNK Stack 05 Feb 2024
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Ask HN: How to Get into Quantitative Trading?
https://github.com/AI4Finance-Foundation/FinGPT
[1] Zipline is a Pythonic algorithmic trading library
- FinGPT
- FLaNK Stack Weekly for 20 June 2023
- GPT but for the Finance Industry
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FinGPT: Open-Source Financial Large Language Models
Code: https://github.com/AI4Finance-Foundation/FinGPT
- Is FinGPT Coming?
What are some alternatives?
backtrader - Python Backtesting library for trading strategies
modelscope - ModelScope: bring the notion of Model-as-a-Service to life.
pyfolio - Portfolio and risk analytics in Python
EasyCV - An all-in-one toolkit for computer vision
backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]
keep - The open-source alert management and AIOps platform
PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)
prompt-engineering - Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
quantstats - Portfolio analytics for quants, written in Python
StanfordQuadruped
vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.
alpaca_eval - An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.