@hddvideo Estoy rifando el juego "POLICE STORIES "
Un juego de Police Stories" es un tenso shooter táctico de vista cenital donde juegas como los policías John Rimes y Rick Jones.
La rifa comienza por un precio de 1. 8$
Serán 31 Tikes
YOUR AI AGENT CAN NOW COLLECT DATA FROM ALMOST ANY WEBSITE
X, YouTube, Reddit, random websites, basically whatever you need for research, analytics or monitoring.
Here are 3 GitHub tools that let your agent pull the data for you.
1. Agent-Reach
https://t.co/T8pgi3fKQQ…
Bundles tools for working with different platforms in one place.
X, YouTube, Reddit, GitHub and more.
2. Patchright Enhanced
https://t.co/gr4iGFy07E…
Works through the browser with Playwright.
You can listen to the requests a website makes and pull the data you need through a script.
So if a website doesn’t have a proper API, you still have a way to get the data.
3. Scrapling
https://t.co/zLDEH1Hrql…
A general purpose tool for pulling data from web pages.
And the best part is that you can give all of this to your AI agent.
For example:
“Collect posts from 100 X accounts from the last month, find the most popular topics and analyze what’s working.”
Or:
“Collect reviews about this product from Reddit and YouTube and summarize the main complaints.”
You tell the agent what data you need → it writes the code → collects the data → gives you the result.
Basically, you’re giving your agent the ability to pull data from almost anywhere on the web.
That opens up a whole different level of stuff you can automate.
If you’d love to see more content like this, don’t forget to follow @sauda_coder for more content .
8 GITHUB REPOS FOR BUILDING AN AI TRADING STACK
Want to understand how autonomous trading systems are actually built? Start here.
Not “AI predicts the next candle” bullshit.
8 repos covering agents, backtesting, exchange APIs, market making, RL and execution.
1. AI Hedge Fund
https://t.co/eAPra1mdWF
Multi-agent setup where different agents analyze a trade from different angles before reaching a conclusion.
2. Freqtrade
https://t.co/WbEAQcnlq4
One of the biggest open-source crypto trading bots. Strategies, backtesting and automated execution.
3. CCXT
https://t.co/WMAEt96ukM
The infrastructure layer for connecting to Binance, Bybit, OKX and dozens of other exchanges through one API.
4. NautilusTrader
https://t.co/x52Pi7khwS
Trading infrastructure for research, backtesting and live execution.
5. Hummingbot
https://t.co/93xU52FtrH
Market making, arbitrage and liquidity automation.
6. Eliza
https://t.co/QFQecdcV5V
Framework for autonomous agents that can interact with crypto wallets and onchain systems.
7. FinRL
https://t.co/1ubzfZQsNx
Reinforcement learning for financial trading research.
8. Jesse
https://t.co/4piHNhtCj7
Python framework for developing and backtesting crypto trading strategies.
The stack basically looks like:
data → strategy → backtest → risk → execution → agent
I’d treat these as a research starting point, not a money printer.
Build locally. Test without real funds. Understand the system before giving an agent access to your wallet.