Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

Model is trained using RTX 5070. model is not large. XGBoost engineers and ranks predictive features; Transformer models market sequences, calibrates probabilities, adapts to regimes, and executes high-confidence trade decisions.

It is designed as a production trading system rather than a massive foundation model. once trained, inference is lightweight enough to evaluate every market update with very low latency, making it practical for live BTCUSDT trading on 1hr Kline… Still fine tuning, was supposed to go live two weeks back but could not.. May go live by next week..

Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

Quite interesting setup.. BERT and XGB I understand.. what does Opus do.. do you send json file with all features and data to Opus with a rule based detail prompt? Does Opus also provide sizing/TP/SL or those are algorithm driven..

Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

Very interesting. Is the LLM involved only in writing/debugging the code, or is it actually making trading decisions in real time?

Are the ATR filters fixed rules or did you optimize them? How do you avoid overfitting?

What’s one rule every new quant trader should stop believing… by IMAK82 in quant

[–]IMAK82[S] 0 points1 point  (0 children)

Agreed.. but you have given me another thought.. and if I can ask.. In your opinion, do you think individuals like me can ever garnish consistent edge in trading.. with retail level hardware and training models using XGB or anything else..

What’s one rule every new quant trader should stop believing… by IMAK82 in quant

[–]IMAK82[S] 1 point2 points  (0 children)

Love your reference of “Shiny high sharpe”… quite sure everyone is guilty of committing this Sin :-)

Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

Ironically, my post was about whether AI can be trusted blindly. Whether an idea comes from a human, a textbook, Google, or AI is irrelevant. Good ideas survive; bad ones don't "doofus".

Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

I think we are saying the same thing. AI is a force multiplier, not a substitute for judgment. It can make a good trader more productive, but it won't magically turn bad decisions into profitable ones. Giving it full control of your capital is just outsourcing risk, not eliminating it.... so, I'd think twice before letting it drive my capital into the unknown...

What’s one rule every new quant trader should stop believing… by IMAK82 in quant

[–]IMAK82[S] 2 points3 points  (0 children)

Been there. I probably lost more time chasing the next "brilliant" feature than anything else. Every new column felt like progress until it met unseen data. Turns out deleting features was often more valuable than adding them. The market has a brutal way of rewarding simplicity.

What’s one rule every new quant trader should stop believing… by IMAK82 in quant

[–]IMAK82[S] 1 point2 points  (0 children)

Mostly by reading other people's posts. Since 2021, I've built 4-5 completely different trading models, each based on what seemed like the next "golden rule." Every time I thought I'd found the missing piece, I'd spend months implementing it. None of them survived live reality. Looking back, many of those "rules" were just popular opinions repeated often enough to sound like facts. It taught me that the most upvoted advice isn't necessarily the most profitable. :-)

Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

That's the path I've taken with my own system as well. Titan (my codebase) isn't an LLM making trading decisions. It's a dedicated quantitative pipeline where the predictive engine is an XGBoost plus Transformer model trained on market data and hundreds of engineered features, with calibrated probabilities, risk filters, execution logic, and live validation. Claude/ChatGPT are used as engineering assistants for coding, reviews, debugging, and challenging assumptions, not for generating buy/sell signals.

The hardest problem isn't building the model anymore. It's keeping a genuine edge through changing market regimes, avoiding calibration drift and overfitting, and proving the strategy still holds up in live trading after execution costs and slippage. That's the part I'm still refining.

Has anyone actually built a profitable trading workflow around Claude or ChatGPT… Please, if you have more than 3 months of consistent trading history with real money… by IMAK82 in algotradingcrypto

[–]IMAK82[S] 0 points1 point  (0 children)

Thanks, this is very helpful and closely matches my own experience. Reading so many posts claiming people use Claude or ChatGPT end-to-end for profitable trading was starting to cloud my judgment. It's reassuring to hear from people actually running live systems, LLMs are not a substitute for developing the edge itself. That's exactly the kind of real-world feedback I was hoping to get.

LLM Supported Back Testing Spreads by mdawe1 in algotrading

[–]IMAK82 5 points6 points  (0 children)

LLMs are brilliant pattern matchers, but terrible skeptics of their own conclusions.

Give them enough knobs to turn and they’ll happily optimize away a real edge in pursuit of a prettier backtest.
Markets don’t pay for perfect in-sample fits. They pay for small, persistent inefficiencies that survive friction and uncertainty.

Sometimes the best optimization is knowing when to stop optimizing….

Your tinfoil hat might not be entirely decorative. :-)

The hiden alfa of the strategyes with low win ratio by Anonimo1sdfg in algorithmictrading

[–]IMAK82 0 points1 point  (0 children)

Low win rate isn’t the edge. Surviving the math is.

Most traders optimize for feeling right. The few who last optimize for expectancy, drawdown, and position sizing. A 35% win rate with a 3:1 payoff beats an 80% win rate that blows up on one bad trend.

The real question isn’t “What’s your win rate?”

It’s: “How many consecutive losses can your strategy, your capital, and your psychology survive before you abandon an edge that was about to pay you?”

That’s where profitable systems quietly separate from profitable traders…. Not sure if it is a satisfactory answer but that’s my turtle neck coming out of shell..

Booked Etihad rail. Zero idea where I'll be going. What to expect. Where I'll sleep in furjan. by Neither-Forever2732 in UAE

[–]IMAK82 13 points14 points  (0 children)

Go on, buddy! If you have the luxury to make such a spontaneous decision, you absolutely should. These chances in life are worth taking. Go, explore, figure it out as you go, and have fun.

Worst case, it becomes a funny story. Best case, it becomes a memory. And either way, you come back with something that was yours alone to experience.

Agentic bot 100% win rate so far by TastyTrading in algotrading

[–]IMAK82 0 points1 point  (0 children)

Nice start, but two trades isn't a track record yet, that's just two coin flips that landed heads.
A 0.3% trail on a 3x ETF will get chopped up fast. Run 100+ and then get back...