There is an open source "real-world AI hedge fund" github repo going around twitter that's getting a lot of interest.
Since in my previous life I was using ML for trading, I wanted to share some notes on the repo and how one would actually create a "real-world AI hedge fund".

I’ve been building a real-world AI hedge fund.
It's open source so you can learn + build too.
The hedge fund has 6 agents:
1 • market data agent
2 • quant agent
3 • fundamentals agent
4 • sentiment agent
5 • risk manager agent
6 • portoflio manager agent
The hedge fund

virat

Twitter

As the market falls, how do top traders view the outlook?

Here is the English translation, with <> elements retained as is:

Author: Bitcoin Magazine Pro
Translator: Bai Hua Blockchain

As <Bit>Bitcoin</Bit> now routinely enters the six-figure range, higher prices also seem to be a given. By analyzing key on-chain data, valuable insights can be provided into the basic health of the market. After understanding these indicators, investors can better predict price trends and prepare for potential market peaks or impending corrections.

1. Realized Price
The "Realized Price" indicator combines Coin Days Destroyed (CDD) and <Bit>Bitcoin</Bit> supply to provide a weighted average of the price at which <Bit>Bitcoin</Bit> last moved.

On-chain data update: Where are we in the Bitcoin cycle?

BTT, the native token that powers the decentralized peer-to-peer (P2P) file-sharing platform BitTorrent, has emerged as the market’s top gainer in the past 24 hours, climbing by 4%.
However, while thi...