$ZRO fell from around $2 in early April to $0.71 on August 2, then ran to $2.49 by October 12. the late entries still caught a big part of the move.
@Evan_ss6 went long $ZRO at $1.26 on September 22, seven weeks after the low and with price already up 78%. ZRO ran 97% from his entry to the peak.
he bought more at $1.81 on October 1, and that add still ran 38% to the peak.
@AviFelman went long ZRO against ETH on September 29, with ZRO at $1.72, 142% above the low and two weeks before the peak.
$ZRO trades at $1.88 today, and all 11 tracked traders holding it are long.
can confirm, different breed. @blknoiz06 bought the most hated chart on ct at .00184 and $PUMP is still more than 2x from there
in july, $PUMP was one of the most hated trades on ct
@blknoiz06 bought it at .00184 anyway, on the reclaim of old support.
his thesis was simple: the thing was printing $30-40M a month in a bear market for onchain, and if $SOL retail comes back, pump is the most likely beneficiary
a month later it was a 2x. revenue had doubled too. his words: "no real change to thesis"
then he did what most people can't. it was already 5x off the bottom and he kept adding. 3 more buys, the last one at .006 calling for .06
peak: +271% from his entry
found his full journey on @centaur_io trade journeys. every call, every add, every trim, in order
one line from it stuck with me:
"time is the most underappreciated variable in trading"
ansem different breed 🐐
top 5 trades of october
@kevinxu $AAOI long, +16.6%
went full port on $AAOX, the leveraged AAOI fund, in his challenge account on October 22 with AAOI at $67.56, calling for a big bounce. AAOI ran 16.6% over the next week.
@wronguser000 $ZRO long, +14.8%
was adding ZRO at $1.773 on October 1. it was up 14.8% a week later.
@Pentosh1 $ZRO long, +14.3%
went long ZRO at $2.008 on October 5, citing the weekly chart and the fee buybacks coming with Atlas. up 13% the next day and 14.3% a week from entry.
@lBattleRhino $EWY short, +13.0%
shorted the Korea ETF at $177.29 on October 9 as a hedge on his Google and Amazon longs, and covered the last of it at $154.17 on October 15.
@au_xbt $SOXL short, +11.7%
shorted the 3x semiconductor ETF at $140.87 on October 8 and covered at $124.35 on October 13.
see where these traders are positioned going into November on centaur.
pick a trader, pick a ticker, see every call they posted
Would you keep buying $PUMP as the price goes up?
@notthreadguy did. He entered at $0.00175, kept adding, and his entry was up 289% at the peak.
he went long PUMP while saying he wasn’t bullish on memecoins at all, so he maybe he was betting on the platform rather than the coins.
And in August, after it had already run, he said he was long to the gills.
I found his full trading history on @centaur_io’s Trade Journeys.
You can see exactly when he bought and sold.
behind every parabolic run are the traders who saw it first. trader journeys shows who they were, with every trade tied to their own post.
take $ZEC. it ran +717% between March and September, and 62 traders we track were in before the peak.
open the run, or any other, and you’ll see:
> every tracked trader who got in before the peak
> where each one got in, and their exit if they posted it
> who bought before the bottom and who got in partway up
> how far each entry ran to the top
which trader had the best call? 👇
hyperliquid:native ran from $78 to $96 in one session on october 29, after sliding from $94 to near $75 over the three weeks before.
traders on centaur were on every side of it.
@mattertrades went long at $80.98 on october 15, nine days before the low. hype now trades 11% above that entry.
@Wild_Randomness rebought at $78.34 on october 23 and took profit at $81.47 on october 28, a day before the run, then bought most of it back at $91.73 on the 29th.
@ValkyrieFinance went long at $84.14 on the morning of the 29th with the run already underway, and added at $92.91 that evening. hype sits 7% above the first entry.
@rektober nearly earned the name this october. shorted hype at $91.70 mid-run and added for a $92.20 average. hype hit $96 within hours, and @rektober closed the short that evening just about flat.
all 32 open hype positions on centaur are long, and 8 of them opened on october 29.
This year, Coinbase opened trading to agents, and Robinhood started rolling out AI trading agents to about 29 million customers.
Trading agents are no longer just for quants, but most still read the same price and volume data, so they chase the same trades.
What they miss is what top traders are doing on X and Telegram. Across the traders we track, fewer than 1 in 100 messages describe a real position.
Plenty of tools tell your agent which assets people are talking about. What the best traders are actually trading is a different dataset.
Centaur shows your agent who’s building positions, whose calls have paid, and which way the top traders lean on for example BTC, CoreWeave or gold.
Conviction holds up better when traders with very different styles reach the same view.
Centaur positioning intelligence shows you where those views overlap on an asset.
Traders calls are public. The edge is in what you do with them.
Centaur proprietary processing turns open trade ideas into live signals you can test against history, so your team builds on the output and skips the pipeline.
When most of the book leans one way, the next question is who's leaning the other.
Centaur shows who's long, who's short, and how good their calls have been.
Yesterday @tonycotzias and @clausikami and talked about:
- positioning intelligence, six views of what the best traders are holding
- webhooks for every new trade and every asset that moves into a view
- hosted widgets that put a live trade feed and asset positioning in your app
- why traders with different methods on the same side of an asset add conviction
- trade discovery, and using the best traders' positions for your own ideas
and more!
if you haven't listened in yet, the replay is below
Live: Social Trading and Trade Discovery teapaw.org/i/broadcasts/1dxYlaEdX…
Centaur retweeted
act on the highest signal moves from traders on X and TG
centaur webhooks: live alerts on trades, leaders' book moves, specialist clusters, crowd fades and positioning shifts
plug them into agents that trade on the signal, fund strategies, push notifications in your app
This year, Coinbase opened trading to agents, and Robinhood started rolling out AI trading agents to about 29 million customers.
Trading agents are no longer just for quants, but most still read the same price and volume data, so they chase the same trades.
What they miss is what top traders are doing on X and Telegram. Across the traders we track, fewer than 1 in 100 messages describe a real position.
Plenty of tools tell your agent which assets people are talking about. What the best traders are actually trading is a different dataset.
Centaur shows your agent who’s building positions, whose calls have paid, and which way the top traders lean on $BTC, $CRWV or gold.
Live now with @tonycotzias and @clausikami
What we’ve been building at centaur. Positioning intelligence demo, and where trade discovery goes next.
Live: Social Trading and Trade Discovery teapaw.org/i/broadcasts/1dxYlaEdX…






