

I had this intraday setup I was feeling pretty good about.
15-min chart.
Buy when MACD crosses above signal and RSI is above 50.
Sell when MACD crosses below and RSI below 50.
1:2 risk-reward. Swing low/high stop.
On charts it looked clean. Nice entries. Logical.
So I ran it through AI to see how it actually performs.
171 trades later…
Win rate: 35.7%
Avg win: ₹230
Avg loss: ₹162
Net result: -₹3800
Yeah… not great.
It wasn’t completely broken, but clearly not strong enough to trust with real size.
Instead of ditching it immediately, I asked the AI what it would improve. And the suggestions were surprisingly practical and not magical, just structural tweaks.
It said I should probably add volume confirmation.
Which makes sense, MACD cross without strong volume is just noise half the time.
Then it suggested adding a 50 SMA trend filter.
Only take longs above it, shorts below it.
Honestly, that alone might filter out a lot of chop.
It also pointed out my stop-loss logic could be smarter.
Instead of fixed swing stops every time, maybe trail after 1R so winners can breathe but profits are protected.
Another thing I hadn’t thought much about – time exits.
If a trade doesn’t move after 2–3 candles, just exit.
No point babysitting dead trades.
It even suggested testing other timeframes. I was only using 15-min.
Maybe the logic behaves better on 5-min or 30-min. Fair point.
What I liked most was this:
It didn’t say “this strategy is bad.”
It treated it like a rough draft and helped refine it.
No promises.
No “AI found the holy grail.”
Just structured improvements.
Honestly, seeing -₹3800 on paper probably saved me from losing more live.
Curious how you guys improve strategies. do you systematically refine them like this, or mostly adjust based on feel?
https://www.reddit.com/gallery/1r3uhny
Posted by kairoX_14
3 Comments
Sorry, but nobody cares
Saw ₹ and stopped reading
If you ask an LLM for advice on a bad idea, the fact that it responds doesn’t change it into a good idea.