๐๐ก๐ข๐ฌ ๐๐ฅ๐๐ฎ๐๐ ๐๐จ๐ญ ๐จ๐ง ๐๐จ๐ฅ๐ฒ๐ฆ๐๐ซ๐ค๐๐ญ ๐ฆ๐๐๐ $78,083 ๐ข๐ง 5 ๐๐๐ฒ๐ฌ.
Nobody built it to be smart. They built it to be fast.
Example flows shared:
$7 โ $3,595
$30 โ $11,063
$142 โ $13,356
$1,205 โ $37,939
[๐๐จ๐ญ๐: Must Follow me: @ai_uncovered (To Get Auto DM)]
According to the breakdown, the logic wasnโt complex:
โข Track BTC price movements
โข Compare them with Polymarket odds
โข Enter when pricing is misaligned
โข Exit when the gap closes
The idea is simple:
Not โbe rightโ โ just โbe faster than the adjustment.โ
While traders analyze chartsโฆ
the system executes in loops.
While decisions are being madeโฆ
the edge may already be gone.
While humans hesitateโฆ
automation compounds.
I found this interesting enough to break down the structure behind it.
If you want the full breakdown and flow logic:
To get access:
โข Like this post
โข Repost
โข Comment โ Data โ
โข Must Follow me: @ai_uncovered (To Get Auto DM)
Google laid him off. So he pointed Googleโs own AI at Bitcoinโand reportedly made over $400K.
The wild part? TimesFM was **never trained on Bitcoin**. It was trained on 100B+ time points from things like search trends, Wikipedia traffic, and demand data.
Instead of retraining the model, he simply prompts it with the latest BTC data every 5 minutes.
The bot then:
โข Predicts the next candleโs probability range
โข Compares model odds vs. market odds
โข Trades only when thereโs a meaningful edge
โข Uses strict filters, Fractional Kelly sizing, and daily loss limits
No emotions. No guessing. Just data-driven trading.
Iโm giving away the complete setup and breakdown for free.
Like, repost, and comment โGOOGLEโ โ Iโll DM it to you.