Lordbat

☯ Sé feliz, be happy ☯ #KeepCalmDNACode
㋡

[Lordbat @L0RDBAT]

El truco para la vida es el amor. Incondicional.Puro.Desde dentro, sin objetivo, ni dirigido.Omnidireccional. Se puede. Es el código fuente

[Lordbat @L0RDBAT]

@ai_uncovered GOOGLE

[Theo @ai_uncovered]

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.

Follow: @ai_uncovered [Must]

Like, repost, and comment “ GOOGLE ” and I’ll DM it to you.

[Lordbat @L0RDBAT]

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