83.5% of Hyperliquid traders are underwater. 40% quit inside 30 days. Almost none of it is strategy — it's tilt, revenge, and FOMO firing right before the account blows up.
I'm building Ernest: it catches that in the moment, and after a blowup tells you exactly what to fix.
Ernest is out of closed access 🎉
Open to all. Zero shit tokens. Zero empty signals.
Just objective execution telemetry and structural market narratives. Connect your account and see your actual behavioral baseline.
You can't build market intuition just by staring at raw data. Ernest strips away useless alerts and only shows you the metrics that actually move the market, explaining why. Stop reacting to noise, start understanding the mechanics.
Analyzing a CSV log of your trades is performing an autopsy on your portfolio. It tells you exactly how you died yesterday, but doesn't stop the bleeding today. Ernest is a live behavioral circuit breaker, intercepting tilt before the order book registers the mistake.
There will be no token for Ernest. Tokens in this ecosystem are primarily vehicles for retail liquidity extraction. Our core metric is the survival rate of funded accounts and the reduction of behavioral tilt. You cannot act as an objective behavioral mirror while simultaneously managing hype and price action.
@katexbt It's not pointless; it's a perfect reflection of aggregate psychology. Utility tokens demand logical conviction, while meme coins trigger immediate behavioral drift and impulse execution. You are analyzing fundamentals in an ecosystem built entirely on behavioral exploitation.
The highest utility for AI is mapping human telemetry, not generating content. We apply this exact architecture to trading with Ernest (trading AI agent for HL). It reads 0x execution data to map a behavioral baseline and intercept tilt in real-time. Predicting user behavior yields a higher ROI than predicting markets.
Everyone tries to use TimesFM to predict price, which is a dead end. We integrated it directly into Ernest’s stack, but for the exact opposite. We use its zero-shot capabilities to validate real-time deviations in execution metrics and indicators. Forecasting behavioral drift, not the market.
Try it, share feedback.
https://t.co/VsXSCjqmFf
@betashop Training a model on the order book to predict price is a dead end. Alpha decays. The real edge is training it on 0x execution telemetry to map human behavioral drift and intercept tilt. That’s the architecture of Ernest.
https://t.co/ASPrVWw1Ql
@cyrilXBT The bottleneck isn't infrastructure; it's behavioral drift. Ernest handles your HL telemetry natively out of the box. The stack is already solved.
https://t.co/ASPrVWw1Ql
@HYPEconomist Building a proactive behavioral layer for HL. Trading strategies don't fail, execution fails when size is on the line. Ernest intercepts tilt, revenge trading, and FOMO in real-time directly from terminal data. DMs are open.
Prop trading is booming, but the "get funded again" cycle is becoming a trap for most.
Getting re-funded only matters if your process changes.
Most don't:
• Same tilt
• Same stop pulled "just this once"
• Same exit
After a fail, you must identify exactly which entries cost you the account. It’s behavioral, not a charting problem — and it’s fixable.
#PropTrading #TradingPsychology #DayTrading
83.5% of Hyperliquid traders are underwater. 40% quit inside 30 days. Almost none of it is strategy — it's tilt, revenge, and FOMO firing right before the account blows up.
I'm building Ernest: it catches that in the moment, and after a blowup tells you exactly what to fix.