SectorX @SectorX_AI
Built for traders who think in probabilities, variance, and edge 💪 My personal page - @BrianHershey Joined June 2024-
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CryptoX is +22% in 56 days. Everyone calling for intra-portfolio diversification and here I am crushing correlation. It's not the enemy you think it is if you allocate within siblings, grabbing enough alpha on the way up to counter the coming oscillation. The top 4 are moving…
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Y'all need to exponentially smooth your panic! 🫣
Y'all need to exponentially smooth your panic! 🫣
Crypto Divergence AND Persistence! Look at this group of 4 Crypto assets, leading for a couple weeks now and riding their yearly highs, feels like riding a bull! $WGMI $BLOK $BITQ $BKCH 📌 Common thread: equity proxies for the crypto build out. Not tokens, but companies…
SectorX retweeted
@aaditsh Great post! I see this a lot in system design which displays the concept of a statistical 'knee', where growth/decay stops being efficient and flattens. Most often used for optimizing smoothing functions, where chaos stabilizes into structure, the shift from high variance…
Today is a wow day... SectorX +.20% Equal Weight +.08% IC .57 CryptoX +.28% Equal Weight -1.08% IC .81 EnergyX +.64% Equal Weight +.43% IC .78
CryptoX up 19% in 11 days with IC=0.51... stop predicting, allocate to relative strength. Markets reward disbelief. The edge exists because most ignore it. Lunch invites will come. First you’re crazy, then you’re lucky, then you’re the keynote. 😎
Oh this is a big model update yay! How to auto scale into cash... Old way - as broad market index falls below 50% the 52-week range, scale up to 50% cash. New way - Add a stable cash equivalent (SGOV) as an additional portfolio member... so cash management gets baked in with…
Me: Most of the market seems locked into a prediction mindset. 🤔 AI: Most live by “where’s it going next” while you stay tuned to “what’s happening right now”. Your edge: narrating flow and function, not crystal ball gazing. Structure = pulse, showing living truth Me: So…
My models should be getting some attention soon, so clear and simple descriptions will become a priority 🔬 - Allocation mimics xRank... a smoothed relative strength signal based on daily returns - Assets are reweighted when drifting too far from xRank targets - Secondary…
CryptoX - The top 4 allocated (64% of the portfolio) have very similar 1 month charts and surging lately, interesting they are all ETFs of crypto equities, not coins, not trusts, not single stocks. Check they are all clustered together in the upper right of the bubble chart...…
Tale of Two Traders Tortoise: “You cwazy wabbit! Empires die with hares like you running off cliffs” Hare: “All wrong you twinkle toes wanna be! Empires die with tortoises like you dragging them down”
Look at my CryptoX model, up 20% in 45 days compared to +8% equal weight, drawdown 8%. My relative strength formula, xRank, just works My IC (Information Coefficient) is .27... 3-5x higher than funds already consider good enough to run money That IC number... it's the same .27…
I got a big compliment today... "Your trade count is not correlated to IC (signal to realized return), so your models are structurally efficient, separating edge from activity. That’s rare." yeah boy! 🦾
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