The truth about AI trading after a year testing. I've been building and testing trading algos with AI almost every day for close to a year. Thousands of strategies and backtests, around hundreds of strategy families, multiple live systems. Here's what nobody selling you an "AI trading bot" will tell you. First, there are 7 different ways to use AI in trading: 1. An LLM trades on its own 2. An LLM analyzes the market and recommends trades 3. An LLM helps you build and test a strategy 4. An LLM sits inside a deterministic strategy as an extra filter layer 5. LLM simulated environments (a la MiroFish) where the aggregate is used as a signal 6. Classical ML on top of your strategy (the Lopez de Prado pipeline: random forest, XGBoost, LightGBM) 7. Training your own transformer on proprietary data These are completely different things. Mixing them up is why most "AI trading" takes are garbage. What does NOT work: ❌ Letting an LLM trade or recommend trades. I ran ensembles of LLM agents predicting 1h, 4h and 24h direction. The win rate differences were pure bias and regime artifacts. Last month's best agent was noise. ❌ Training your own transformer. Unless you have truly proprietary data at scale, you're paying GPU bills to overfit. ❌ Looking for the infinite money glitch on a single asset with a single method. ❌ "Claude, build me a profitable strategy." It grabs some data, overfits, tests 50 hypotheses and hands you survivorship bias with a smile. Add ML on top and you get look ahead bias, leaky labels and no real out of sample. I ran this experiment properly. Thousands of backtests, hundreds of strategy families, frontier models. Strategies that survived honest validation with Sharpe above 0.8: zero. The models aren't dumb. Markets are just efficient, and AI is the most convincing overfitting machine ever built. What DOES work: 🟩 LLM as the engineer, not the trader. Build deterministic strategies, formalize hypotheses, iterate fast, but you own the validation. 🟩 LLM as one filter layer inside a rule based system (including simulated environments as that filter). The strategy has to work without it too. 🟩 The Lopez de Prado pipeline on top of an already working strategy. Purged cross validation, walk forward, deflated Sharpe. And still treat it as experimental until it survives out of sample. 🟩 Deploy lots of paper trading agents and let live performance rank them over weeks. Time beats backtests. 🟩 Copy trading as a feature inside your strategy. Validate your entries against what proven wallets are actually doing. --> Reality check: on the whole Hyperliquid leaderboard, the number of traders you can actually mirror is maybe 15 to 30. The rest are HFT you physically can't copy. The pattern is simple. AI accelerates the process, you own the edge through validation. The moment AI owns the edge, you own the losses. That's exactly why we're building @Trigr_xyz. An AI native strategy engine where every part of your strategy (signal, filter, risk) is a node that you or the AI can inspect, test and rewrite. Trusted backtesting with deflated Sharpe, purged walk forward validation and explicit overfit warnings, because a backtest without them is marketing. You deploy your strategies as paper agents and watch them prove themselves in real conditions before risking a dollar. And you validate trades against what proven traders are doing, built in.

👀

Our approach is product first, you might think that at the age of AI it's easy to build anything but it's not true To build a truly great product you need many iterations, talking to users and be even better than before because the competition is higher Even in crypto, at the end of the day, best products will prevail Marketing a great product becomes an easy task I'm now confident to deploy 5 figs in Trigr and soon 6 figs and I'm using it everyday. I'm sure many more will share the feelings

The Voltrade x @DeriveXYZ Options competition starts today New to options? Here’s everything you need to get started: calls, puts, placing your first trade and qualifying for campaign rewards 👇

If you like big swings that's an interesting one I personally prefer max drawdowns below 15% But as part of a mix of agents that will be my high risk one

Options land on Voltrade with @DeriveXYZ 🚨 Trade options on Derive. Climb the Voltrade volume leaderboard. $4,000 USDC prize pool 3,500 ethereum:0xb1d1eae60eea9525032a6dcb4c1ce336a1de71be in daily raffles 250 DRV per draw. 14 draws Plus VXP Starting 24/09 @ 12pm UTC. Register now 👇

Step by step then all at once LFG

👀

Gud stuff 🔥

Paper trading for ~30 days is even better

Real trading Trigr strategies for 10 days! LFG

A few days ago I deployed this bot on @Trigr_xyz > 80% BTC Primer XHigh (my own) > 20% ETH Momentum Pulse (Trigr marketplace) I built Primer to accumulate BTC, with position sizing, leverage and risk management built in. If we get a bull run, I want it to RUN. Let’s see how it plays out Will keep you posted ...

The only app you’ll ever need

Trigr x Propr is coming

TriGM, Starting cooking with @Trigr_xyz Earning money while I sleep, trading 60+ assets, hundreds of trades per day and bull/bear market optimized strategies It's just nice to have finally my own trading desk, for free, deployed in a couple of clicks

wen Trigr sticker? 👀

Trigr trading agents are now live on Hyperliquid. Build or choose a strategy or bundle. Add it to an agent. Connect Hyperliquid and go live. Want to try it? Reply below.

We have a live AMA starting in 20 minutes in our Discord, I'll show where we are with Trigr as well as the roadmap and share some alpha feel free to join us discord.gg/fx95S8vg8

Jan. 2020 → Sept. 2026: BTC Hold +993%. 📈 My @Trigr_xyz strategy? Comparable Net Return. But 28.5% DD vs. 77% for Hold... Fewer sweaty nights for me. Fewer sleepless nights for you. 😁 So… which one would you rather hold? 👇 trigr.xyz/r/gussa/9V8SMPJF

The Pulse Volume Race is LIVE 🟢 Trade on Voltrade Pulse and compete for $1,000 + VXP in rewards. > Rewards based on trading volume > $300 reserved for daily lottery rewards > VXP rewards on top

$380+M traded in 14 days. The Lighter Stocks Trading Competition is complete! 3,000 LIT + VXP in rewards and an incredible two weeks of trading. A huge thank you to everyone who competed.