Matt J

Building QuantBuddyAI, the trading journal that shows what's actually killing your P&L. Sharing what I learn along the way. Free to start.

[Matt J @QuantBuddyAI]

@shentrades Looks like we played the gap-fill game.

[Matt J @QuantBuddyAI]

@anupamrjp I wouldn’t be mad if you featured or back-linked https://t.co/C4pxN3FnCS. 💪

[Matt J @QuantBuddyAI]

@tailopez He’s going to rise again for sure. Very well said.

[Matt J @QuantBuddyAI]

@IAmPascio It’s a trading journal. But QuantBuddy also takes your day lifestyle choices, (sleep, diet, exercise?, etc) and correlates it to your trading performance.

How we live and the choices we make (habits) will impact your trading performance.

https://t.co/C4pxN3FVsq

[Matt J @QuantBuddyAI]

@shentrades For the Sunday review, a short fixed list helps: trades taken, rule breaks and what triggered each, net P&L after costs, and the one rule you'll focus on next week. Asking the same questions every week makes the weeks comparable. And I like the list!!

[Matt J @QuantBuddyAI]

@dgmarketss One way to check this in your own records: write the stop and target at entry, then log the actual exit with a one-line reason. After a few weeks, compare planned vs actual on winners and losers separately to see which side drifts from the plan. 🤷‍♂️

[Matt J @QuantBuddyAI]

@_Ash_Trades_ Knowing when not to trade gets easier when it's written down before the open. List your no-trade conditions (daily loss limit hit, no A setup, just broke a rule) and log the setups you skipped too, so your review covers the passes, not only the trades.

[Matt J @QuantBuddyAI]

Wondering if sleep affects your trading? Track it forward instead of digging up old trades.

Fix one definition now (slept 7h+: yes/no). Log it before the open, then your trades.

Later, compare sessions but check setup, size and market too. A gap is a question, not proof.

[Matt J @QuantBuddyAI]

@mrtbrgl I always roll my eyes at posts like this, and yet, HERE I AM. 🙄

Yes please, Mr Murat. We would LOVE 1,200 active followers?

[Matt J @QuantBuddyAI]

@akacoding Wow. Nice job. What are the top couple of things you focused on to get this kind of result?

[Matt J @QuantBuddyAI]

To the 139th person that joined this week, welcome to https://t.co/C4pxN3FVsq!!

150 and I’m throwing a party.

[Matt J @QuantBuddyAI]

According to my own personal stats on https://t.co/AsbZrBYkV0, when I sleep less than 6 hours, I have a staggering win rate of 0%.

Additionally, Monday’s, mid-morning is the worst time period in the week for me to trade.

Conversely, I tend to win a lot when I get 7+ hours of sleep and I don’t eat sugar the night before. 🤷‍♂️

I don’t make the rules but being able to measure and correlate performance to lifestyle choices, is exactly why I built QuantBuddy.

[Matt J @QuantBuddyAI]

I feel like it’s time to run another round of paid ads for https://t.co/C4pxN3FVsq.

The site is my favorite and the app works and provides value; I just need eye balls on it.

Check it out!!

[Matt J @QuantBuddyAI]

@imryanarya007 Thanks for any feedback! All are welcome.

https://t.co/C4pxN3FVsq

[Matt J @QuantBuddyAI]

@mrtbrgl Yes!

[Matt J @QuantBuddyAI]

@CabotTCroll https://t.co/C4pxN3FnCS

[Matt J @QuantBuddyAI]

@elonmusk @realmikeredler @bot Hire Grok Bot? What’s the annual comp requirement and/or first year OTE?

[Matt J @QuantBuddyAI]

@AlexsOptions Gotta love The Strat!

[Matt J @QuantBuddyAI]

@BlogJulianKomar Useful detail on the adds. R against starting risk (0.2%) and against peak risk after adding (about 0.6%) tell different stories from the same exit. Logging both, plus the breakeven first attempt, shows what the whole idea paid per unit risked.

[Matt J @QuantBuddyAI]

Before trusting a pattern in your trading journal, oh wait, you don’t keep a trading journal? Then you’re gambling. There I said it.