Wild times to be alive.
The bot finished off the month of July with a combined $63,488 in live/paper profits.
Some users went live mid July and ended with roughly $10,000 in real profit.
Every trade the bot takes becomes a data point. The same errors are never made twice.
Most importantly, the bot will never blow your account or revenge trade. ⚓️
💲Doc retweeted
The Bot is human. Had a couple losing trades today but still survived the day and the week mega green.
+$549 on the day ⚓️
Managing risk. Eliminating Emotions. No Fomo.
#YachtClubAlgos
Not getting the hopes too high. The whole point of the bot was to anchor the emotions when it comes to day trading.
See you aboard ⚓️
Now we’re talking. A 66% win rate over 3 months of testing had to surface somewhere. Let’s see what next week brings.
Crazy to watch this live in action. She’ll be profitable soon. I won’t stop until the bot has a consistent 60%+ win rate and a profit factor of 1.50+. Which it did have with paper trading testing.
Live win rate 61%, profit factor .97
Needs improvement.
Day 3 in the open.
The bot took 5 trades. Hit 3 of 5.
Lost $37 on the day and now down $22 in 3 days. Probably should’ve ended net positive today but had one modules user configured SL at -30% instead of -15/20%.
The bright side. The bot is managing risk just as designed.
No full port. No fomo. No tilt. And most
Importantly, No blown accounts.
Law of averages. At it again tomorrow. ⚓️
Not the ideal outcome. But smooth sailing from the bot. Paper to live transition had no setbacks. An unlucky stop out that actually turned around.
If it didn’t turn around, I personally would’ve bought more or held it to $0.
The bot did what it’s designed to do.
I’ve spent 6 months building this. Paper trades are fun. And prove concepts. But now I am unleashing Yacht Club to Live trading at market open ⚓️
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A year ago I was a physical therapist who couldn't ship a script. Now I'm running Yacht Club Algos: 939 paper trades, +$40,792.50, 1.51 PF across four modules I built and broke and rebuilt.
Founding seats: reduced rate, locked for life. open soon. ⚓️
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My bot was doing well. Was up $6K on a $5,000 paper balance. So I doubled the position size. Today it went 0/3 and lost $1,000. Sometimes bigger is not better.
The trades it took I would’ve taken over and over again. Price action today just didn’t let them play out.
I was freaking out because my bot did not take a single trade today. Spent all day trying to diagnose why only to figure out the bot identified today as a choppy day with no clear direction and did not force any trades. Unreal.
Market opens. Bot rejects PMH. Makes $216. Stops out the position before letting it bleed into the red (like I would’ve done).
I take great entries. But I can’t exit. So I vibe coded a bot to do it for me. And it’s apparently working 😮
The bot has taken 23 paper trades today and is 23/23 for a 100% win rate. That is not normal. Every losing trade the bot takes becomes an opportunity to never take that setup again.
We need more losing trades! ⚓️
Bot was 2/2 today. Caught one big winner on a QQQ 700 bounce. The new exit strategy appears to be letting winners run longer. I work all day and don’t have time to stare at screens waiting for levels to hit. It’s looking promising ⚓️
The bot lost $55 today.
Took 3 of the most important losing trades it could’ve taken.
The beauty of an algorithm.
True bugs identified that will never be traded again.
Trust the process.
Eliminating the mental side of day trading.
Every trade is data.
#YachtClub⚓️
Today the bot caught SPY calls on an opening range breakout and held runners all day until force closure before the algos kick in.
11 total trades today with an 80% win rate.
Still ironing out the exit strategy. Leaving a LOT of gains on the table.
Not a video editor. Not a quant. Not a CS grad.
I’m a physical therapist and ex-sneaker botter who learned to code with Claude and built a real options trading bot.
Here it is working today. Blurry, unedited, real.
youtu.be/fQ3cBu7Jgq8?si=Qqap…
























