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

Pudgy Penguins is an NFT project that has just launched its own Token Issuance with a massive Airdrop to 7 million wallets, with a market cap of $5 billion. Abstract is a Layer 2 project that has just been launched by the parent company of Pudgy Penguins...

Guide to hunting for free Airdrop abstract, Layer 2 of parent company Pudgy Penguins

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?

On December 4, the Altcoin Season Index hit 88, suggesting that non-Bitcoin cryptocurrencies might perform better than the number one coin. However, the altcoin season chances might have been dealt a ...