CodeCapypara
alpaca-trade-api-python
| CodeCapypara | alpaca-trade-api-python | |
|---|---|---|
| 1 | 9 | |
| 94 | 1,690 | |
| - | 0.6% | |
| 10.0 | 5.6 | |
| about 1 year ago | 8 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
CodeCapypara
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[R] CodeCapybara: Another open source model for code generation based on instruction tuning, outperformed Llama and CodeAlpaca
The model can be accessed here: https://github.com/AI4Code-Research/CodeCapypara
alpaca-trade-api-python
- Simple Martingale Bot (willing to pay)
- Newbie Here: Tips on getting starting with price monitoring, and trading once a day with a python API.
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What broker/platform do you like to use for your trading?
I ended up switching to using alpaca_trade_api library and it takes all the headache of all that. Here’s the documentation: https://github.com/alpacahq/alpaca-trade-api-python
- Hacktoberfest 2021 🎃 Celebrate Open Source with Alpaca
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Hacktoberfest-eligible repos - commission-free stock brokerage platform
Alpaca Trading API Python
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The results of the first 15 days of live trading my latest strategy:
My advice is to learn to code in python well enough to use basic math functions and the requests package. Then put $100 into a brokerage with a really simple API like Alpaca and practice buying, selling, and monitoring your account (use this repo: https://github.com/alpacahq/alpaca-trade-api-python). You can paper trade if you want to day trade.
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What do you suggest to someone that's a really good programmer but a mediocre trader?
I’m using their python module. (https://github.com/alpacahq/alpaca-trade-api-python) Overall I’d say the API is good enough for my types of strategies. For backtesting I use their get_barset() method.
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Replacement for Polygon.io Data feed
According to their Python interfaces on GIT hub they are implementing some interesting new features. Here is the link to the main commit that I am looking at: https://github.com/alpacahq/alpaca-trade-api-python/commit/1391436dbba635efb56615739d91fdbb2f23cd9c
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Reddit Most Trending Stocks Updates
Yo. If you ever wanna make an api, can you make it like polygon, so like alpaca 🦙. streamconn.py the majority of the algo traders are just piggybacking of alpaca in their little notebooks to get then place a trade on Robinhood instead.
What are some alternatives?
LLaMA-LoRA-Tuner - UI tool for fine-tuning and testing your own LoRA models base on LLaMA, GPT-J and more. One-click run on Google Colab. + A Gradio ChatGPT-like Chat UI to demonstrate your language models.
TradeRepublicApi - Unofficial trade republic API
CodeCapybara - Open-source Self-Instruction Tuning Code LLM
alpaca-trade-api-go - Go client for Alpaca's trade API
example-scalping - A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio
alpaca-trade-api-csharp - C# SDK for Alpaca Trade API https://docs.alpaca.markets/
example-hftish - Example Order Book Imbalance Algorithm
LiuAlgoTrader - Framework for algorithmic trading
ExpertLLaMA - An opensource ChatBot built with ExpertPrompting which achieves 96% of ChatGPT's capability.
jesse - An advanced crypto trading bot written in Python
self-instruct - Aligning pretrained language models with instruction data generated by themselves.
oanda-bot-python - oanda-bot is a python library for automated trading bot with oanda rest api on Python 3.6 and above.