0xRid

Co-founder @ hypeRank. Copy trading on Hyperliquid, ranked by risk, not PnL. On-chain tools and AI × crypto | 26.10.25

→ | 30.06.26

[0xRid @0xRidX]

Crypto only grows when new people show up. And most of them are gone inside a month. They lose money before they really understand what they're looking at, decide the whole thing is rigged, and that's the story they carry back to everyone they know.

Following someone else's trades is one of the few ways into this market that doesn't ask you to read a chart on day one. You're not handing your money to a fund. Nobody takes a slice of what you make. It sits in your own account the whole time.

The reason it can be done honestly here and not really anywhere else is that Hyperliquid puts every fill on-chain. You can go and check what someone actually did with their own money. On CEXs a track record is a screenshot, and screenshots are how new people get taken.

It's not blind copying though. You decide the ceilings before anything gets sent out, how many positions you'll carry at once, how much goes into each one, leverage, slippage, and a daily loss limit that pauses the whole thing when the day goes badly. Whatever the trader makes is yours. The limits are just there so the floor doesn't fall out from under you.

Works the other way round too, by the way. Plenty of people here already know exactly what they're doing and simply don't have the hours to sit on the book.

I keep coming back to the same thing, which is that ecosystems grow on tools people can stay in. Not campaigns. That's why #HypeRank is built here.

Would really like to hear what you think, especially the parts you think I've got wrong.

#Hyperliquid

[0xRid @0xRidX]

@C_Predecessor Despite the summer effect and the WC, if we're at this point, im optimistic about the near future.

[0xRid @0xRidX]

#CPI is out, and I think the bigger story is what it means for the Fed.

🇺🇸 July CPI:
• 3.4% YoY
• 2.5% Core YoY
• Both in line with expectations.

Nothing too surprising.

But look at the market pricing for a September hike.

It was above 50% earlier this month.

Now it's down to 32%.

Weak jobs + inflation that isn't re-accelerating = less pressure on the Fed.

This is exactly why I was leaning slightly bullish going into CPI.

If this keeps playing out, I think #crypto could see less selling pressure over the next month and find room for an upside move.

Curious to hear what you guys think. See you in the replies.

[0xRid @0xRidX]

The July jobs report definitely caught my attention.

🇺🇸 Payrolls came in at about 23K vs. +80K expected.

May and June were also revised down by 103K combined.

Markets took it as another reason to expect less pressure from the Fed.

Now #CPI is next.

🇺🇸 Aug 12, 12:30 UTC

Expected:
• CPI YoY: 3.4%
• Core CPI YoY: 2.5%
Reuters sees this as an important test for the Fed's rate outlook.

Personally, I'm leaning slightly bullish here.

Lower employment + lower inflation would take some pressure off the Fed, and I’m leaning more toward this scenario.

I think this could reduce selling pressure in crypto over the next month and create room for an upward move.

Curious to hear what you guys think. See you in the replies.

NFA.

[0xRid @0xRidX]

One thing worth watching:

July CPI didn't beat expectations. It simply didn't give the Fed another reason to hike.

Reuters says the report could weaken the case for a September hike, especially after the weak jobs data.

Kalshi is now pricing just 32% for a 25bp September hike.

That's the part I'm watching.

[0xRid @0xRidX]

@aylitaw People in the market genuinely need this

[0xRid @0xRidX]

@IsTohumlar I hope so

[0xRid @0xRidX]

@CPre31775948 @sodex_official

[0xRid @0xRidX]

I took a look around the @sodex_official Discord to see what was going on.

The community manager's message, in short:

The team ended Season 1 in 6 months, just as promised. They didn't extend the timeline or push it to some vague date. They made a clear decision and stuck to it.

And 10 days is a very short window to be panicking.

Trust the process.

I agree with that.

The only thing they really need to improve is communication. Hopefully the reaction from the community, and the positive response to this simple explanation, made that clear to them.

Sometimes all people need is a simple explanation.

#Sodex #SOSO

[0xRid @0xRidX]

@IsTohumlar @sodex_official What matters is being able to back up that defense with substance. We'll see.

[0xRid @0xRidX]

@CPre31775948 @hypurrdash agreed, bro. if there's a strategy that actually works, there's no point in letting your ego get in the way of making money lol

[0xRid @0xRidX]

More Detailed Histogram:

[0xRid @0xRidX]

Everyone in copy trading talks about speed. Almost nobody shows you the price you actually got.

So I checked ours. Last 30 days, 25,746 executed copy fills, each one compared against the leader's own fill price on that same trade.

Median difference came out at 0 bps. 40% of our fills got a better price than the leader, another 16% got exactly the same one. Volume-weighted, the whole thing averages 0.33 bps. The tail is where it shows up: 1.8% of fills landed more than 25 bps worse.

None of this is modeled or backtested. Real mainnet fills, compared to the wallet we were mirroring.

HypeRank is still in public beta. And honestly, we're pretty damn happy with what we're seeing.

25,746 fills. 0 bps median. 0.33 bps volume-weighted slippage.

This is just the beginning.

#Hyperliquid #Web3‌‌

[0xRid @0xRidX]

@louisdives i believe the Hyperliquid community is smart enough to know better. they shouldn't fall into this trap either

[0xRid @0xRidX]

@Gavel_on_X not exactly. this number should be showing the last 24 hours

[0xRid @0xRidX]

@AnkanXplorer E). Pray

[0xRid @0xRidX]

@HyperTracker GM legend.

Great revolutions come with great destruction 🤙

[0xRid @0xRidX]

@JonBuildsHQ i need community feedback to improve my product, which is currently in public beta. but it's a pretty niche product, so reaching the right people hasn't been easy

[0xRid @0xRidX]

@SageWhale i dont see a problem with this at all. if anything this move makes me admire Jeff's vision even more

[0xRid @0xRidX]

So I pulled the numbers.

Our system screens 41.5k Hyperliquid wallets and actively tracks about 4.6k. 1.9k clear the quality filters.

I looked at 1,716 of them over the last 30 days, all of them green on the month. Threw out ~190 first: wallets with no losing trades at all, or payoff above 20. Small samples like that wreck the ratio.

Median payoff was 1.56.

So the typical wallet isn't exactly a warcrime.

About 30% made money even though their average loss was bigger than their average win. Median hit rate for that group? 71.4%.

Being right a lot clearly isn't enough.

And they weren't getting liquidated much more often either: 26% vs 24%.

The difference showed up in the damage.

For payoff <1 wallets, liquidation losses ate about 40% of their monthly profit at the median.

For payoff ≥1 wallets, it was about 9%.

That's a 4.4x difference.

And the liquidation rate was basically the same.

That's the part of Platt's answer that stuck with me.

You're not wrong only when the thesis is wrong. You're wrong the moment you're losing and you let it run.

Same frequency of being wrong. Very different cost of it.

And that brings it back to position size.