BlockChainar 🪐

@EquityEdgeUK Argentina

Google laid him off. So he pointed Google’s own AI at Bitcoin trading… …and pulled over $400,000 in profit. Now I’m giving away the complete setup for free. It uses TimesFM — Google’s foundation model for time. Think GPT, but instead of predicting the next word, it predicts the next number. He spent four years helping build models like this at Google. Then a company reorganization eliminated the team, and he was out. Here’s the wild part: The model was never trained on Bitcoin. Not a single candle. Google pretrained TimesFM on 100 billion time points — search trends, Wikipedia traffic, demand curves, and other time-series data. After that, the model was frozen. No retraining. Just prompting it like ChatGPT. Every five minutes, the bot feeds it the latest BTC price data. TimesFM returns a probability distribution for the next candle, from the 10th to the 90th percentile. From that, it calculates one value: P(next candle closes higher). The bot compares that probability to the market’s implied odds. Edge = Model Probability − Market Probability Then strict filters take over: • Ignore weak signals below a 5¢ edge • Skip wide spreads • Keep quantile predictions consistent • Use Fractional Kelly for position sizing • Enforce a hard daily loss limit No opinions. No emotions. No guessing. Just a frozen Google AI model exploiting small pricing inefficiencies every five minutes. I’m giving away the full breakdown of how it works. Like, repost, and comment “GOOGLE” and I’ll DM it to you.

@marryevan999 GOOGLE

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