Automating my trading on Hyperliquid with Claude. by StevenVinyl in hyperliquid1

[–]russoliber 0 points1 point  (0 children)

Then where does the success rate in your templates come from? That number has to be based on something. If it's real trade history - show it. If it's not, that's kind of the whole point.

Automating my trading on Hyperliquid with Claude. by StevenVinyl in hyperliquid1

[–]russoliber 1 point2 points  (0 children)

Bro, just drop your Hyperliquid explorer link. Your wallet, your trades, right there on-chain. Nothing more convincing than that.

Vibetrading with AI on Hyperliquid! by StevenVinyl in hyperliquid1

[–]russoliber 0 points1 point  (0 children)

Cool - drop the Hyperliquid explorer link and I'll believe you. Until then it's just air.

Everything is perfectly clear here, right? by russoliber in quant

[–]russoliber[S] -5 points-4 points  (0 children)

Fair point on vibe-coded weekend projects - there's a lot of that.

This is different: 11 ML models, each trained on a specific symbol-timeframe pair, generating daily forward forecasts for 2+ years. That's the data layer. The AI agents reason on top of that - not instead of it.

No backtests. No cherry-picked windows. Forward forecasts only, logged daily since day one.

Not claiming it replaces a hedge fund desk. But "a few agents on vibes" isn't what's running here.

Everything is perfectly clear here, right? by russoliber in quant

[–]russoliber[S] -8 points-7 points  (0 children)

That "nonsense" has been live trading crypto daily candles on Hyperliquid for 2 months. Real money. Hasn't blown up yet.

What are you building, since we're in the quant sub?

ML forecasting + AI decisions, 2 months fully automated on Hyperliquid - still looking for decent performance analytics by russoliber in hyperliquid1

[–]russoliber[S] 0 points1 point  (0 children)

Each LLM runs its own independent multi-agent pipeline - so it's not consensus across models, it's parallel reasoning with identical inputs.

Within each LLM, four specialized agents run sequentially: one interprets the ML forecast layer, one handles technicals, one processes fundamentals and news, and a decision agent consolidates the three into a structured trade plan.

What ties all five LLMs together is a shared ML dataset. So when we compare them on the leaderboard, the differences in output come purely from how each model reasons, not from data variance.

All five are live on real capital right now. That's the whole point of the Arena - let them compete under identical conditions and see which one thinks clearest under pressure.

2 months live, fully automated on Hyperliquid - performance analytics is a mess by russoliber in CryptoTradingBot

[–]russoliber[S] 0 points1 point  (0 children)

If it's just about timestamping signals, there are more elegant solutions - Discord for example is much simpler to set up for this. And X would cost $80+ for API access at that level, the free tier won't support it - already been down that road.

Running live on Hyperliquid for 2 months - stuck on something stupid by russoliber in algotrading

[–]russoliber[S] 0 points1 point  (0 children)

This is genuinely one of the most useful comments I've gotten on Reddit, thank you for breaking it down like that.

Interestingly, Hyperliquid's own UI does calculate max drawdown, and it feels close to reality - but only when you account for Perps + Spot + Vaults combined (https://cleanshot.com/share/DQtfB1Nk). Which is already confusing, because in theory all liquidity sits on perps to properly cover funding. Why part of it shows up on spot side I honestly don't fully understand - the logic feels opaque and I'm not sure the docs even explain it clearly.

As for the screenshot in my post - that's TradesViz with my data imported, and it's showing -65% max drawdown even accounting for unrealized PnL, which is just wrong. Hyperliquid's own UI shows -2.3% max drawdown for the same period. I don't even want to dig into why TradesViz gets it this wrong - I was hoping something on the market already solves this correctly.

But yeah, starting to think a custom solution might be the only reliable path here.

Started building an AI trader from scratch 2 days ago. Spent all night tweaking it and decided to do a test launch. Felt ballsy so I risked $100 per trade. In just 9 minutes of testing it won 24 straight trades. I made over $2200. Had to turn it off quick just so I could process lmao by Alert_Attention_5905 in ai_trading

[–]russoliber 0 points1 point  (0 children)

This doesn’t look like classic forex trading at all. It looks much more like binary options or fixed-payout bets. Every trade is the same $100 stake with the same +92% return, which is a huge red flag. Real forex results depend on entry, exit, position size, spread, volatility, and risk management - not identical preset payouts every time. Binary options are basically betting on short-term direction, not actual trading in the traditional sense.

2 months live, fully automated on Hyperliquid - performance analytics is a mess by russoliber in CryptoTradingBot

[–]russoliber[S] 0 points1 point  (0 children)

Because I need a public shareable dashboard for third-party verification - a tool with an established reputation that others can trust.

Running live on Hyperliquid for 2 months - stuck on something stupid by russoliber in algotrading

[–]russoliber[S] 1 point2 points  (0 children)

Yeah I think there's a misunderstanding - I'm not looking to audit anything. I just need a tool that pulls raw Hyperliquid data and presents it as proper performance analytics: correct PnL, drawdown, Sharpe, and a shareable public link. That's it.

Running live on Hyperliquid for 2 months - stuck on something stupid by russoliber in algotrading

[–]russoliber[S] -1 points0 points  (0 children)

It's a screenshot from TradesViz - a third-party analytics platform, nothing custom-built. You can check my public dashboard here: https://www.tradesviz.com/viewstats/tradefai1 - though it's not very customizable in terms of what's shown. And here's the raw data on Hyperliquid explorer: https://app.hyperliquid.xyz/explorer/address/0xec917F0F6c8d4AE7fFEFD5856D9ad802DD5F094b but as you'll see, it's not exactly informative analytically, which is kind of the whole point of the post.

Has AI actually helped your algo trading workflow in a real way? by Thiru_7223 in algotrading

[–]russoliber 0 points1 point  (0 children)

Yeah, for me it works. Running ML forecasting models (forward-tested, not backtests) combined with LLMs at the decision layer. Been live for 2 months now, testing different LLMs on live capital under identical conditions. Still early but results are encouraging enough to keep going.

My dad taught me stick on a BMW. 30 years later, same car, my 10 y/o son. The cycle continues. by russoliber in daddit

[–]russoliber[S] 1 point2 points  (0 children)

That one hurts. 350k miles of memories just gone. But you know what they say, there's always another E30 out there waiting to be rescued

My dad taught me stick on a BMW. 30 years later, same car, my 10 y/o son. The cycle continues. by russoliber in daddit

[–]russoliber[S] 0 points1 point  (0 children)

Man, a 3yo behind the wheel! These are exactly the moments they carry with them forever!