Maxor

I build quant systems. Data → edge → execution.

[Kitt @ICT_Concepts]

Feb 26 Trading Gaps and Macros https://t.co/tLoe1mDmCn

[Maxor @argmaxor]

@lanto_trades You are a trader like Austin is a soldier 😂

[Maxor @argmaxor]

@lanto_trades

[Maxor @argmaxor]

@ToriolaFx @Kelvintalent_ At least build by your own personality 😂 fucking pussy

[Maxor @argmaxor]

https://t.co/7efJUqdtnu

[Maxor @argmaxor]

@CandlsticStalkr @ROTGITM Of course it is controlled. They can't leave the highest system random 😂

[Maxor @argmaxor]

@ICT_Concepts

[Maxor @argmaxor]

https://t.co/EsY9Yhd0e2

[Maxor @argmaxor]

Claude is down.
NQ is down.
Data remains undefeated.
#dpAI

[Maxor @argmaxor]

I was in the space for the first 2hours, but before i was invited to sleep I got to bed.

I now finished listening to the space. Some points were touched on. Josh really tried and spell it for you around the end. 👏

You were way to gentile/diplomatic about it. A lot of shit happened there.

I heard my name a few times and I can confirm everything is true!

And for the dev that says “I build it from scratch” there is no Costa code in there …

YOU HAD THE EXACT BLUEPRINT DELIVERED TO YOU ON A SILVER PLATE.

One think Brandon learn from us when he gave you the blueprint is ti ask you not to use any of the code and rebuild everything.

So, you don't rebuild everything you just copied!

[Maxor @argmaxor]

@QuantumWick Are we talking about this file?
If yes, why do you think it's named like this?

[Maxor @argmaxor]

Update (Part 3): drill-down on the tiered sizing run (clean features, Conf ≥ 0.60, size up to 2×).
Same engine as yesterday’s, here’s where it’s strongest.

By day of week (Tiered trades only):
Mon: 33 trades • 87.9% WR • +72.66R • PF 10.69
Tue: 38 trades • 86.8% WR • +75.23R • PF 9.85
Fri: 33 trades • 90.9% WR • +64.36R • PF 12.70
Thu: 39 trades • 82.1% WR • +63.22R • PF 6.50
Wed (hard mode): 36 trades • 75.0% WR • +47.08R • PF 4.04

Long vs Short:
Long: 99 trades • 87.9% WR • +188.81R • PF 10.94
Short: 80 trades • 80.0% WR • +133.74R • PF 5.53

Confirmation time (where the edge concentrates):
08:40: 15 trades • 100% WR • +44.58R (avg +2.97R/trade)
08:30: 96 trades • 85.4% WR • +176.15R
09:00: 12 trades • 83.3% WR • +25.44R
08:45: 10 trades • 90.0% WR • +19.48R
(weak spot): 5 trades • 40.0% WR • +3.44R

Takeaway: the AI risk engine isn’t “more trades”, it’s better trades in the right regimes (and it shows exactly when).
#dpAI

[Maxor @argmaxor]

Update (Part 2): yesterday’s confidence-weighted risk engine, now on the clean features run (last leakage edge-case removed).

Baseline (all days): 246 trades • 76.02% WR • +178.01R • +0.724R/trade

Filter only (Conf ≥ 0.60, 1×): 179 trades • 84.36% WR • +167.68R • +0.937R/trade

Filter + Tiered sizing (same 179 trades): 84.36% WR • +322.55R • +1.802R/trade

Where the upside actually comes from:
≥0.80 confidence: 138 trades • 89.1% WR • +301.43R (2× size)
0.70–0.80: 28 trades • 60.7% WR • +12.48R (1.5×)
0.60–0.70: 13 trades • 84.6% WR • +8.65R (1×)

Bottom line: filtering boosts quality, sizing converts quality into asymmetry +322R vs +178R while taking 27% fewer trades.

Uncertainty is a cost. Conviction is a budget.
#dpAI