Crypto Yield Pro

$ETH: 99% of its $15.2B in RWAs is distributed on-chain $AVAX: 11% of $12.8B $XRP: 11% of $5.8B Distributed means the token sits in wallets and moves on-chain. Represented means the chain only mirrors a record the issuer keeps off-chain. The headline number hides that.

Who's actually paying on Avalanche $AVAX, and my plan on the weekly chart: youtu.be/sLEIhBKNcrM

Aave V4 deposits on Avalanche: ~$37M on Sep 30. Above $125M on Nov 2. 3x+ in about five weeks, and Aave's founder says Avalanche will be its hub for RWA's. Ethena Pay's card spend on Avalanche also jumped 97% in October. $AVAX 🧵

What's inside that 52, across 9 on-chain metrics: Puell Multiple sits at 94%, the lone hot reading. Strip it and the other 8 average 46. MVRV Z-Score 38%, Reserve Risk 36%, RHODL 45%. The valuation core of Bitcoin is mid-cycle, nowhere near euphoria. Positioning for both $BTC reads goes to PRO CAPITAL first.

13 months after the Oct 2025 top, the Bitcoin Bull Run Index (CBBI) reads 52. In 2015, 2018 and 2022 the index sank under 10 before $BTC started the next cycle. This bear turned in the mid-20s. Either this was the shallowest bear on record, or the reset is still unfinished. 🧵

Bittensor subnet revenue doubled to $70M in two months while $TAO fell back into its weekly demand zone. Full $TAO breakdown: 00:00 Revenue doubled 00:22 My line 01:03 Who pays 03:07 The math 04:17 2 upgrades 05:15 The chart 06:54 My plan

The other side of Avalanche $AVAX tokenomics, and what would close that gap: youtu.be/sLEIhBKNcrM

Avalanche paid stakers ~2.6M $AVAX in Q3. Fees burned: ~59K. Rewards ran 44x the burn. That gap is why Avalanche's adoption headlines haven't reached the AVAX price. Helicon's new reward curve starts closing it, fully phased in around Dec 21.

The Bittensor $TAO upgrades behind this, and my plan on the weekly chart: youtu.be/I3QPx4k582c

4 Bittensor subnets just trained an AI model end to end on strangers' GPUs. No data center, no single company. It beat Alibaba's Qwen3.5-9B at fixing real software bugs: 43.6% vs 35.1%. Open weights. $TAO 🧵