Markets, data, maths & crypto

onchain
Joined January 2022
Praize_Jr(♟,♟) retweeted
POV: You invested just $10 a month into Bitcoin since it launched.
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borrow at 7.5% earn 3.5% in T-bills call it "carry" that’s not carry, that’s a subscription happy sunday CT
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Markets don’t behave the same way all the time. Bitcoin can trend, chop sideways, or enter a high-volatility regime. A Markov chain gives us a mathematical way to model the probabilities of moving between different states.
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The core idea is simple: The next state depends on the current state, according to a transition matrix. Repeatedly applying that matrix shows how the probabilities of different states evolve over time.
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This doesn’t mean we can predict every market move. But regime models can help us study changing volatility, liquidity conditions and trading behavior. I’m exploring the mathematics behind these models as part of my quant journey.
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"i’m just gonna close my eyes for 10 minutes while this candle closes..." 10 minutes later: • funding rate spiked • margin call received • room turned red • yield reset to zero Happy Saturday CT... we go again
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HoneyB targets 2 - 4% APY on Bitcoin without selling the BTC. Let’s underwrite it the way an allocator would: where does the yield come from, what does it cost, and what would I need to see? @HoneyB_BTC, a quick analysis 🧵
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What I’d want published at launch: → Realized net yield vs target → Borrow rate actually paid → Fund performance vs the 12% target → LTV and liquidation thresholds → Reporting cadence + proof of reserves Solv showed what happens when TVL can’t be verified.
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Pre-mainnet is when the standard gets set. Launching with transparent numbers is a moat, not a cost. I track BTC credit and yield weekly. If you're watching the BTC credit scene, my DMs are open. 🐝
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A zero-cost portfolio doesn’t mean a risk-free portfolio. You could go long $10k of ETH and short $10k of BTC. Your initial net investment is roughly zero, but your PnL still depends on how both assets move.
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This distinction matters. A zero-cost strategy can lose money. An arbitrage portfolio, under the standard model, must have no downside and a strictly positive payoff in at least one possible outcome.
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You might be wondering how this applies to DeFi. A price difference between two DEXs isn’t automatically an arbitrage. Fees, slippage, gas, latency and execution risk can erase the edge. The price gap is the observation. Proving the trade is profitable is the actual work.
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A portfolio is more than a list of assets. In linear algebra, you can represent your holdings as a vector and their prices as another. Multiply them together, and you get the portfolio value. Looks simple in theory (or not), but it does have powerful applications.
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Say you hold: - 0.1 BTC at $60k - 2 ETH at $3k - $1k in USDC Your portfolio is worth $13k. Mathematically, this is a dot product: multiply each holding by its price, then sum the results.
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Scale this to hundreds of assets and the same idea still works. Portfolio valuation, risk models and optimization all rely on this kind of mathematical representation. If you're looking to automate some part of portfolio management, this is a good concept to start with.
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Check out @Bound_Exchange, anon More on this later!
82x if all three hit. $BTC $95K → $70K → $124K Soon on Bound: your whole chart, priced as one trade.
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Hot take: most DeFi lending is conservative by necessity, not by choice If the gap between “breach detected” and “recovery complete” can't be controlled, you widen haircuts and cap leverage. The user pays for that uncertainty Arch’s bet is to control that gap. Now we watch.
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