
Founder @Trigr_xyz The all-in-one platform to build, trade and automate your strategies.
Joined February 2018
- Tweets10.6K
- Following5.5K
- Followers8.7K
- Likes21.8K
Jeremie retweeted
The highest return doesn’t always make the best strategy.
Our first Trigr Allocation List puts risk adjusted performance first, comparing 10 official and community strategies by historical Sharpe ratio, maximum drawdown and backtested returns.
Which would you explore for your next agent?
Jeremie retweeted
Voltrade has run 50+ campaigns and totalled $1bn+ volume in the last year
along the way we’ve learned what a trader is really worth
real traders will get the value they deserve
coming soon...
The 99% pass rate setup is great ngl.
But not everyone wants to wait 100 days to pass a @ProprXYZ challange.
If you want a faster route, HYPE Tide SAR III is the trade off. I built it on @Trigr_xyz.
• 81% simulated pass rate
• 48 median days to pass
Want to know which agent I used? Let me know in the comments 👇
Are you telling me a trading agent can pass the @ProprXYZ challenge 99% of the time?
I backtested mine against the real rules. 10 out of 10 tries passed.
Test your own agent on @Trigr_xyz
Trade it!
Peter Schiff has called a Bitcoin crash at least 138 times since 2020.
We tested the 50 calls that made the news on @Trigr_xyz.
Would you trade it or fade it?
Jeremie retweeted
Is the Monday high pivot a real edge?
We tested it to find out
My $BTC monday high pivot strategy is proving itself yet again.
I’ve been posting about this for 1.5 years straight, and it keeps playing out. It’s most consistent in ranging markets, where it catches those 2-3% inverse moves.
This is the result of relentless backtesting which is why you haven't seen this mentioned anywhere else before...
Jeremie retweeted
Timeline is screaming 'NEW BULL MARKET'
@Trigr_xyz ran the setup and backtested the numbers
Taking trading advice from a donkey
The things I do at @Trigr_xyz
Most people building AI trading strategies are hunting alpha on BTC.
BTC is the most-studied chart on earth. Whatever edge you find on common data with a common indicator, a thousand others found it first.
What holds up better for us: plain trend strategies, long and short, spread across many assets.
Each one is just beta but ogether they're a portfolio.
We'll hunt viral trading strategies and test them for you so you don't lose time and money
Cooking up a new series at @Trigr_xyz 👀
We're taking viral trading bots, rebuilding them, and testing whether they actually work.
First up: the Apple trading bot that hit 1M views.
Would you watch?
Every backtest on @Trigr_xyz now grades itself.
The window is split: the first 70% is in-sample, the last 30% out-of-sample, shown side by side in Studio and over MCP.
If a strategy only works on the part you tuned it on, you see it before you deploy, not after.
I gave Claude Code the laziest prompt possible:
"BTC strategy. 1–2 trades a week. 1:1 risk/reward. Decent win rate."
No indicators. No idea of my own.
Through the @Trigr_xyz MCP it went through the whole data catalog, read the research, tested its own ideas and threw out the ones that didn't work.
What it found 10 minutes later: when aggressive buyers dominate the last 48h of taker flow and BTC is above its 100-day average, the move keeps going. So you go with it. Shorts are the mirror image.
Backtest 2020 → 2026, with fees, slippage and funding on:
– 509 trades, ~1.5 a week
– 58% win rate at 1:1
– +520.4%, max drawdown −26%
Best part: its first idea (fading 1h spikes) lost 81–100%. It told me, dropped it, and moved on.
How I build and deploy trading strategies with AI nitter.gq/i/broadcasts/1wxWjlYkk…

















