hummingbot
GitModel
| hummingbot | GitModel | |
|---|---|---|
| 34 | 6 | |
| 7,329 | 60 | |
| 2.1% | - | |
| 9.9 | 6.8 | |
| about 15 hours ago | 10 months 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.
hummingbot
- hummingbot: NEW Extended Research - star count:6122.0
- hummingbot: NEW Extended Research - star count:6059.0
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🥳 What’s New in Hummingbot, Week of July 10
- https://github.com/hummingbot/hummingbot/pull/6445
- 🥳 What’s New in Hummingbot, Week of July 3
- 🥳 What’s New in Hummingbot, Week of June 26
- Orca - automatic selling of liquidated assets
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Strategies ?
There are many Script examples here https://github.com/hummingbot/hummingbot/tree/master/scripts
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Is it typical for crypto Market Maker to incorporate pending transactions in the mempool as part of their indicator/precursor for placing an ask/bid?
Correct me if I am wrong, but hummingbot, for example, allows anyone to run their Market Making bots (https://github.com/hummingbot/hummingbot) with various off-the-shell market making strategies for crypto, and they include both DEXs and CEXs
GitModel
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[P] I built a chatbot that lets you talk to any Github repository
That's exactly what we've been exploring. Here's another approach I've seen to this problem of building a summary tree representation of a codebase: https://github.com/danielpatrickhug/GitModel/
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[D] Modern Topic Modeling/Discovery
https://github.com/danielpatrickhug/GitModel/blob/main/src/system_prompts/format_system_prompts.py the basic components of the self instruction prompting are format_system_prompts which has the base prompt and extract_questions which just uses regex to extract the questions from the output.
- GITModel: decompose Git repositories and generate coherent topic trees
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[P] GITModel: Dynamically generate high-quality hierarchical topic tree representations of GitHub repositories using customizable GNN message passing layers, chatgpt, and topic modeling.
Decompose Python libraries and generate Coherent hierarchical topic models of the repository. https://github.com/danielpatrickhug/GitModel
What are some alternatives?
freqtrade-gym - A customized gym environment for developing and comparing reinforcement learning algorithms in crypto trading.
textbeat - 🎹 plaintext music sequencer and midi shell, with vim playback and the powers of music theory 🥁
ichibot-client-app
HVM - A massively parallel, optimal functional runtime in Rust
freqtrade - Free, open source crypto trading bot
clrs
roq-api - The C++23 interfaces used to communicate between trading strategies and market gateways.
frostybot-js - Frostybot-JS is a cryptocurrency trading API endpoint, designed to execute webhook or REST requests as orders on a variety of well-known exchanges. While primarily designed to automate your Tradingview strategies, Frostybot can also be integrated with any other software using webhooks or REST. Bitmex, FTX, Deribit and Binance are supported.
trading-utils - Collection of scripts and utilities for stock market analysis, strategies etc
ccxt - A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges
aat - Asynchronous, event-driven algorithmic trading in Python and C++
ibeam - IBeam is an authentication and maintenance tool used for the Interactive Brokers Client Portal Web API Gateway.