In this episode, Ventura Labs interviews Allan of TAO Galaxy, the quant who brought systematic factor investing to Bittensor, sharing his arc from traditional finance skeptic to running rules-based strategies across the subnet market. He covers his TradFi background and why that industry stayed hostile to crypto, why AI equities outran crypto over the last two years, bull markets and the risk curve, momentum and Bitcoin's 50-day moving average, why institutional strategies are deceivingly simple on the signal side, risk management as the line between retail and sophisticated investors, the 2.5% position and 3% liquidity-pool caps, predicting volatility, new research on market cap as the driver of subnet correlation, the absence of a common market factor in dTAO, allocation by wallet size, comparing TAO to Zcash and NEAR, paid influencers and Bitcast, the Momentum and Carry indexes, and why passive subnet investing does not work yet. In this episode, you'll learn Allan's backstory: traditional finance skeptic, the 2020 lockdown Bitcoin epiphany, discovering Bittensor three years later, mining experiments, and taopilling the friends who became his teamWhy TradFi is anti-crypto: institutional rigor, fear of the new, and his own estimate that more than ninety percent of crypto projects are bullshitBull markets and the risk curve: why capital rotates from mega-cap equities outward, and why dTAO sits at the very end of that tailMomentum as an allocation rule: increasing crypto exposure when Bitcoin is above its 50-day moving average and decreasing it when it is not, instead of timing cyclesWhat institutional quant actually looks like: simple signals, hard risk models, and why sizing, diversification and correlation are the real workTAO Galaxy's explicit risk constraints: never more than 2.5% of the portfolio in one subnet, never more than 3% of a subnet's liquidity pool, and penalties for volatile and illiquid subnetsWhy volatility is far more predictable than returns, using clustering and long-term memory, and why returns are too noisy to forecastNew correlation research: the closer two subnets are in market cap, the more correlated they are, and why no common market factor exists in dTAO the way the S&P 500 functions in equitiesWhy allocations differ by wallet size, with larger wallets moving subnet pools and smaller wallets more exposed to fixed staking feesThe case against complaining: why comparing TAO to a decade-old Zcash or a VC-funded NEAR misreads what an organic project looks likePaid influencers in crypto, and why Bitcast functions as Bittensor's own marketing networkTAO Galaxy's products: the Momentum and Carry indexes, non-custodial delegation through the Mentat Minds and Trusted Stake proxies, whitelisted access while liquidity is thin, a capped retail offering coming, and the portfolio app at taogalaxy.comWhy the subnet market is not mature enough for a passive approach, and why holding the top ten subnets for a 40% APY can be wiped out in a single day Beauty Flow by Kevin MacLeod (incompetech.com).Licensed under Creative Commons Attribution 4.0:https://creativecommons.org/licenses/by/4.0/Source: https://incompetech.com/music/royalty-free/index.html?isrc=USUAN1900008Excerpt edited, equalized, faded and mixed under narration.
