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Subnets / SN38

ChronoLLM SN38

ChronoLLM (subnet 38) is a Bittensor subnet held by 1,151 unique coldkeys. Its liquidity pool holds 4.9k τ, with the alpha token trading at 0.0050 τ. Roughly 19% of tracked holders are in profit — most bought in above today's price. Seller exhaustion is elevated: 84% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for ChronoLLM are available to SubnetStats subscribers.
SCREENER
ALPHA PRICE
0.0050 τ
IN TAO
HOLDERS
1,151
UNIQUE COLDKEYS
POOL DEPTH
4.9k τ
TAO IN POOL
7D MOMENTUM
-15.1%
ALPHA vs TAO
01

30-day alpha price

as of 2026-11-08
Project activity
@chronollm
4d ago
ChronoLLM-16B pre-training is almost done and was built on Bittensor, by Subnet 38. 2 big updates: 1. ChronoLLM will release the largest Point-In-Time LLM out there, a 16B MoE. 2. Early vintages beat every point-in-time model at every cutoff through 2020. ChronoLLM should own th
25d ago
https://t.co/MoOJl74Rhe
2026-10-06 ago
https://t.co/9EnENo4KiQ
2026-09-29 ago
You trust a pilot because of the flight record or the hours in the simulator, and predictive AI has neither until the simulator is built honestly, which is the problem ChronoLLM exists to solve. Watch Jean's (@herelle_jean) full talk from @ExploitSummit in Montreal. https://t.c
2026-09-28 ago
The first LLM conscious of time. Live on Bittensor Subnet 38. https://t.co/8jFZVhnwpe
2026-09-24 ago
Jean Herelle (@herelle_jean) gives the keynote at @ExploitSummit in Montreal on Monday, Sept 28. His topic is look-ahead bias in frontier AI. An LLM trained on today's internet already knows what happened in 2020, so it looks great in a backtest and fails live.
2026-09-11 ago
ChronoLLM at Cornell Tech today. @herelle_jean is presenting at the AI & Future of Finance conference on the problem every quant knows: a backtest means nothing if the model already knows what happens next.
2026-09-11 ago
Asked ChronoLLM's 2020 vintage which AI system is the most advanced in the world. It said IBM Watson. In 2020 that was the consensus answer outside a few research labs, and the model has never read anything written after 2020. That is the condition for a clean backtest and hone
2026-09-03 ago
ChronoLLM 2018 describes NVIDIA the way an analyst would have in 2018: GPUs, gaming, VR. No mention of datacenters, no AI supercycle, no trillion-dollar market cap. If your historical simulation knows more than this, it is leaking. https://t.co/n9UWtbw3Hz
2026-08-25 ago
https://t.co/PTgxiQSkZQ
2026-08-20 ago
https://t.co/eA3DXao7E7
2026-08-13 ago
https://t.co/sWpgC8tPNg
2026-07-29 ago
ChronoLLM is already beating its little brother ChronoGPT🧑‍🍳. From the university AI labs to an open community. It took 4 weeks to beat it 100% of the time. @opentensor https://t.co/ADhZ6adbLx
2026-07-28 ago
https://t.co/Os0EVas3sw
2026-07-27 ago
Great to see a point-in-time app getting traction! Now you need a point-in-time model behind it. @GenReasoning BackSearch retrieves the web as it was. But there's a second leak: the model's knowledge. A frontier LLM queried about 2019 has already read 2020's newspapers. > F
2026-07-24 ago
Request denied. https://t.co/yT6ksxFeVO
2026-07-20 ago
SN38 emissions are now at 100%. Full rewards, flowing now, for miners who invest in real training. Round 3 is the time to show up. https://t.co/ZcUYitew0q
2026-07-18 ago
We're setting owner conviction to 30% on SN38, locking 30% of the owner tokens into the subnet. We believe in what's being built here, and now that belief is onchain. Our incentives are now aligned with everyone building here. https://t.co/esLSTcgiMM
2026-07-17 ago
https://t.co/BUdX8CpIF1
2026-07-16 ago
A community deep dive on lookahead bias and why we train time-locked models. Worth a read if you want the full picture of what SN38 is building.
2026-06-29 ago
τime
2026-06-03 ago
when are you?
2026-06-02 ago
point. in time.
Posts by the project. Not a signal.
02

Proprietary signals

a sample — full set on the screener
SELLERS DRAINED
84%
28D SELLERS EMPTIED OUT
CAPITULATION
-0.04
BOUNCE COMPOSITE (z)
HEAT 7D
1.88×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
19%
TRACKED WALLETS · ENTRY BELOW PRICE
WHAT'S CARRYING THE PRICE · 30DPROPPEDemission rank #43 · below the bar (rank 32)
30D RETURN
-74.5%
ALPHA vs TAO
WITHOUT CHAIN BUYS
-82.5%
SAME 30 DAYS, PROTOCOL BID REMOVED
CHAIN SHARE OF BUYING
100%
CHAIN BUYS vs TRADERS' NET
CHAIN BUYS / DAY
0 τ
PROTOCOL BUYING ITS ALPHA
Since the Emissions Gate, about two-thirds of emission is the protocol buying alpha on the pool. PROPPED = the chain carried the price while traders sold; ORGANIC = traders were net buyers and it beat the median without the chain. A description, not a forecast. How it works →
See who's buying and selling ChronoLLM — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
OPEN THE INSIDER TAPE →
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Figures computed from Bittensor chain records. Not investment advice.
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