Good piece by Joe. Lot of these dynamics take time to run their course. Kind of what a bear market is all about.

is $BTC a good buy rn ? on chain data says: asymmetric risk/reward is back btc unrealized loss at highest level since 2022 bear market bottom what this means is most holders are now underwater the pattern you need to understand, > orange high = capitulation zones, bottoms

Bitcoin will bottom in October 2026 between $37,000 - $43000. I have analysed 3,100 days of price data across 3 complete cycles. Every Bitcoin bear market lasts almost 377 days. 1- 2017 top to 2018 bottom: 363 days 2- 2021 top to 2022 bottom: 376 days 3- 2025 top to bottom:

added polymarket data to the public dataset. 400m+ trades going back to 2020. 36gb compressed. MIT licensed, free to download via Cloudflare R2.

Every blood moon since 2010 🩸 🌕 Next blood moon is 3/3/2026 and then 12/31/2028 - the largest gap in BTC history All facts - interpret and perceive to your personal bias

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People are making $10k–$60k trading bot weather on Polymarket. I show how it actually works I spent the last days digging into how these weather trading bots actually work. It’s structured arbitrage between public forecasts and Polymarket Here’s the core idea: > The bot

#BTC Liquidation Heatmap（2 year) That yellow liquidity below is way too tempting. is this the real target?

Bitcoin has ALWAYS bottomed when "Mayer Multiple" drops below 0.6 Current Mayor Multiple = 0.67

$BTC | Coinglass chart reveals liquidity pool below external low at $48k. Set stinky bids.

Google launched a brand new AI tool. It's called CodeWiki, and it might be the biggest upgrade GitHub has had in years. And all you do is paste your GitHub repo in, and it turns your entire project into an interactive guide. It also generates diagrams, explanations,

best analytics github repo to properly analyze prediction markets Jon-Becker/prediction-market-analysis is a framework for collecting, storing, and analyzing prediction market data, with a strong focus on Polymarket. it was built by a very strong developer jon becker, who

this is an unbelievable move by kimi they dropped a model that's genuinely close to opus level at a fraction of the cost. and now they've wrapped openclaw natively into the browser. here's why this is massive: the biggest bottleneck with openclaw wasn't the tool itself - it

The Overfitting Problem in Quant Finance every trading strategy has to survive backtesting before it goes live. the standard way is walk-forward analysis - you optimize the strategy on old data, then test it on data it never saw. The number of test steps you get is: K = ⌊(T

My experience testing out free online chatbot yesterday: Same prompt on Gemini, GLM, Minimax & Kimi. Kimi had pretty much the right solution in 1-shot. Other ones did not. So, my follow on prompts all went to kimi & it kept getting them right. Then I tried deep research for a

Zhipu AI and Tsinghua University just dropped one of the most significant open-source AI papers of 2026. It's called GLM-5. And it basically marks the moment "vibe coding" died and "agentic engineering" was born. This isn't another incremental model update. It's a 744 billion

How to get $600k using the Monte Carlo + Kelly method on Polymarket? Using this method, Jane Street earn more than $600,000 in profits (wallet below) - dataset with 400m bets on Polymarket has recently become available. This makes it possible to study each bet, finding

Introducing takeubackward.org Leetcode, but for machine learning.

🚨 Someone just open sourced an AI hedge fund with 18 agents that think like Wall Street legends. Warren Buffett. Charlie Munger. Michael Burry. Cathie Wood. Bill Ackman. All running on your laptop. It's called AI Hedge Fund. You give it stock tickers. 18 AI agents analyze the