Markets, data, maths & crypto

onchain
Joined January 2022
bitcoin:native is down ~26% over the past year. If you borrowed against it, what happened to your buffer? An attempt to break down the math every BTC-backed borrower should run 🧵
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Why this matters for yield products: Anything that borrows against BTC to fund a strategy inherits this math. You can have a healthy spread and still get squeezed on collateral. Two risks, not one: the spread AND the buffer. Top-ups will only work if you can raise cash fast.
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Before the APY, ask for: → Starting LTV → Liquidation threshold → Who can liquidate, and when → Top-up mechanics → How fast deployed assets turn to cash Weekly BTC credit research from here. Follow if that’s useful
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DeFi is starting to eat Wall Street’s lunch
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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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