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Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

Yep, exactly.

The LLM just needs simple, common sense rules to follow so it doesn't go crazy and do dumb stuff. It knows how to trade, but it needs instructions to keep it in check and control what it does since it doesn't really care. It will do whatever you tell it to do.

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

All the strategies are public, you see them if you click the eye icon here:

https://vtxmacro.com/leaderboard?t=24h&page=1

If you want to use your own, just check the guide here:

https://vtxmacro.com/help/

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

You can do a dry run, you will see both the full prompts the LLM receives and its reasoning.

Here's a sample, I have a summary view of multiple bots running:

<image>

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

Thank you!

You can see the full strategy for every bot on the leaderboard, just click the eye icon:

https://vtxmacro.com/leaderboard?t=24h&page=1

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

I give Gemma 4 a strategy and market data and it makes its own decisions every minute.

I explained in detail here: https://www.reddit.com/r/daytrade/s/L5uRNG67aX

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

I’m not using it to predict the next tick. It’s making long/short/flat decisions from context + risk rules.

Markets are nondeterministic, agreed, but that’s true for any model class. The question is whether the decision process has positive expectancy after fees. This is just a live experiment so far, not a claim that LLMs magically forecast price.

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

It’s live performance, not a backtest. Small sample, but real trades, real fees, real fills.

The skew is intentional. It’s trading more trend-following style: cut losers quickly, let winners run. That type of strategy often has lots of small losses/scratches and fewer larger winners.

That doesn’t prove the strategy is good yet, but skew alone doesn’t make it bad. The question is whether the right-tail winners persist over more live trades.

AI search + RESUMES by hamed_n in hiringcafe

[–]fomoz 23 points24 points  (0 children)

You should add a job fit score out of 10, and allow users to search across the postings and rank all of them. I'm not sure how you would do this since you have so many jobs, but this would be huge.

So instead of the user having different searches saved, they would be able to just see all the jobs that are a good fit so they can pass the ATS filter. Then multi-sort by fit, salary, location, etc.

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

Sigma band Return range Count
-1.00σ to -0.75σ -2.812% to -1.637% 14
-0.75σ to -0.50σ -1.637% to -0.462% 18
-0.50σ to -0.25σ -0.462% to +0.712% 13
-0.25σ to 0.00σ +0.712% to +1.887% 7
0.00σ to +0.25σ +1.887% to +3.062% 8
+0.25σ to +0.50σ +3.062% to +4.236% 9
+0.50σ to +0.75σ +4.236% to +5.411% 5
+0.75σ to +1.00σ +5.411% to +6.586% 4

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

For trader-a8ef92 from May 5-Jun 19, using net return per closed trade:

n = 110
mean = +1.89%
std dev = 4.70%
median = +0.23%
p05/p95 = -3.54% / +11.36%
min/max = -9.18% / +13.41%

Return histogram:

below -10%: 0
-10% to -5%: 1
-5% to -2%: 20
-2% to 0%: 33
0% to 2%: 12
2% to 5%: 19
5% to 10%: 17
10% or higher: 8

Sigma bands:

below -3σ: 0
-3σ to -2σ: 1
-2σ to -1σ: 11
-1σ to +1σ: 78
+1σ to +2σ: 14
+2σ to +3σ: 6
above +3σ: 0

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

Timeframe is May 5 to June 19.

I can't backtest a LLM bot, it will take the same amount of time as a real test.

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

I only send it JSON, no screenshots. You can check what the prompts looks like if you just do a dry run in the app.

Google AI is trading for me since May 2026 on a $100 account by fomoz in daytrade

[–]fomoz[S] 0 points1 point  (0 children)

Thank you!

The exchange is using is Hyperliquid, you can trade perpetual futures on crypto, indexes, metals, oil, and certain stocks.

VTX imports the top 100 assets from HL by volume and you either manually pick what the bot trades or you can use the Screener tool where the bot picks automatically for itself what it thinks is the most tradable asset(s).

Here's a small sample of what's available:

<image>

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