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Fear & Greed = 11. Bitcoin at $62,873. Here’s what the data shows. February 5, 2026. Fear & Greed Index: 11. Extreme Fear. Most people were selling. Bitcoin was at $62,873. If you had bought a 10% out-of-the-money call option that day — 7 days later Bitcoin hit $70,290. An 11.7% move. That option returned +4,991%. This Isn’t Luck. It’s a System. I backtested 400 days of data. Strategy: when Fear & Greed < 20 + large liquidation event happen simultaneously, buy 10% OTM options, hold 7 days. ...

Not a tutorial. Not an ad. Just what actually happened today. This morning I asked myself one question: Can I build a complete options signal system using only free data? By tonight, the answer is yes. The Data — All Free Deribit public API (no account needed): Historical implied volatility Full options chain with Greeks Max Pain calculation Bybit public API: Historical price data Funding rates Alternative.me: Fear & Greed Index — history back to 2018 CoinGlass (paid, but data already downloaded): ...

Five years of trying to predict price direction. One day to realize I was asking the wrong question. I spent five years predicting crypto price direction. Up or down. Long or short. This time will be different. It never was. Then I understood something: I don’t need to be right. I need to bet at the right time. That’s the logic behind deep out-of-the-money options. Normal trading: predict direction, lose if wrong. ...

I lost five years trading on instinct. Here’s what I should have understood from the start. I spent five years in crypto markets using the same method. Look at charts. Get a feeling. Place an order. Sometimes right. Sometimes wrong. Long term — always losing. It took me years to understand: it wasn’t bad luck. The method itself was unwinnable. Where Quant Trading Came From Quantitative trading isn’t new. In the 1980s, Wall Street started replacing human judgment with mathematical models. James Simons’ Medallion Fund ran from 1988 to 2018 with a 66% annualized return. Thirty years. Never a losing year. Not built on tips or instincts — built on mathematics. ...

Hard lessons from months of building with AI — what nobody tells you before you start. AI didn’t make building my quant system easy. It made it possible. Those are different things. Here are the 10 mistakes I made — and kept making — until I learned better. 1. Long Conversations Break Down AI has a memory limit. The longer the conversation, the more it forgets. You think it remembers your system architecture from 30 messages ago. It doesn’t. It starts giving advice that contradicts what it said earlier — and you don’t realize why. ...

From knowing nothing to running a live quant system — the tools that got me there. January 2026. I started building a quant trading system. Couldn’t write a single line of code. My first move wasn’t to learn programming. It was to find an AI that could write it for me. First Stop: A Basic Chatbot I started with a basic Chinese AI assistant. Low barrier, good Chinese, answered everything. I asked how to build a quant system and got a response that sounded complete and logical. ...

The bridge between your exchange account and your trading system — set up in minutes. You have a Bybit account. You have a server. Now you need them to talk to each other. An API Key is how that happens. Your program uses it to place orders, check positions, and read market data — without ever touching the withdrawal function. Step 1: Open API Management Log in to Bybit → Profile icon (top right) → Account & Security → API Management → Create New Key → System-generated API Key ...

Two ways to connect to your Google Cloud VM — the easy way first, then the right way. Most beginners get stuck here. Not because it’s hard. Because nobody explains every step clearly. This guide gives you two paths: start with the easy one, move to the better one when you’re ready. Step 1: Create a Google Cloud Account Go to cloud.google.com. Sign in with your Google account. Click “Start free”. Add a credit card — you won’t be charged immediately. It’s identity verification only. ...

The exchange I’ve used for years. And why it took me this long to recommend it. For a long time, I wouldn’t recommend anyone to trade crypto. Not because the market is bad. Because I was. Emotional decisions. High leverage. No system. I lost money for years — and I knew that recommending someone to join would just put them on the same path I was on. That changed when I stopped trading with instincts and started trading with algorithms. ...

Every mistake I made building an AI quant system from scratch — so you don’t have to. January 20, 2026. I started from zero. Couldn’t write a single line of code. I just knew one thing: I was done letting humanity make my trading decisions. Step 1: The Server Asked AI where to start. Chose Google Cloud, Singapore region. Bought an instance. Opened ports. Set up SSH. The first time I connected from my phone, I felt like I’d come a long way. ...