Public crypto bot experiments.
Spot DCA + TradingView automation.
Paper results, drawdowns, wins & losses.
Inspect, clone & run your own ↓labnarrative.comJoined September 2026
8/8
I’m leaving both old strategies running.
I’ll post the second bot too, and update these results once the sample gets much larger.
For people who test automated strategies:
When do you start taking a paper-tested strategy seriously?
Trades? Time? Market regimes? or what?
7/8
The useful part is simply being able to keep lots of experiments alive long enough to find out what survives.
That paper-testing setup eventually became LabNarrative:
app.labnarrative.com
I’m still building it and using it for these experiments myself.
6/8
That’s probably the biggest thing I think differently about now.
Years ago, I’d see a good week and start tweaking parameters.
Now I’d rather:
freeze the rules → stop optimizing → let the sample grow
50 trades.
100 trades.
500 trades.
Different market regimes.
5/8
And this is the part that matters:
14 trades prove basically nothing.
A 71% win rate can disappear very quickly.
A 1.77 profit factor can collapse.
The drawdown can get much worse.
A good first 2 weeks is not evidence of a durable edge.
3/8
Recently I decided to start again.
I went back through my old experiments and picked 3 of the bots that had performed best for me back then.
I recreated them and started paper-testing them again.
This is the first one: TrendFrend.
2/8
What I actually missed wasn’t the trading.
It was the experimentation.
Being able to ask:
“What happens if I leave this strategy running for 3 months?”
…and then just let it collect forward-test data without constantly deciding which bot was worth keeping alive.
1/8
Last years I got obsessed with testing crypto trading bots on 3Commas.
I ran dozens of experiments: different entries, exits, DCA settings, pairs, take profits, stop losses.
Eventually I stopped
Not because I lost interest
Because testing that many bots got too expensive.
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