Silo Intern

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Silo Intern

Silo Intern

@SiloIntern

Pretty much the boss @SiloFinance B. Commerce (2027) 8 years old

Katılım Nisan 2023
423 Takip Edilen6.4K Takipçiler
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Silo Intern
Silo Intern@SiloIntern·
Why did USDe loops scale faster on Solana than MegaETH? The answer is in lending market design. @ethena partnered with @megaeth to help launch and scale USDm, and also recently expanded to @solana with partners like Paxos to scale USDG. The strategy was very similar on both chains: subsidize USDm/USDG borrow rates to encourage USDe looping. That loop created: • More USDe mint demand for Ethena • More USDm/USDG borrow demand • More lending TVL and ecosystem liquidity Here's what was happening inside the USDe loop: • Buy USDe, which yields ~4% • Deposit as collateral • Borrow USDm/USDG at 2.5–3% • Sell borrowed stablecoin for more USDe • Repeat near max LTV At max leverage (~8–9x), users pushed the strategy toward ~18–20% APY. But the loop's success depended on one variable: borrow-rate predictability. ▶️ What happened on Solana? On Solana, Kamino/Jupiter kept USDG borrow costs capped around ~2.5%. Users knew: even near 100% utilization, borrow costs would likely stay below USDe yield (4%). So users sized aggressively near max LTV. ▶️ What happened on MegaETH? On MegaETH, the same trade ran through Aave using USDm. But Aave's USDm borrow rate isn't capped below USDe yield. As utilization rises, borrow costs can theoretically push toward ~14%, well above the 4% USDe yield. ▶️ Why capped borrow rates matter? Even if the strategy is profitable today, users know there's a scenario where the loop can turn negative quickly. For loopers, the max possible borrow rate matters as much as the current one. At high leverage, even small rate spikes can delete weeks of accumulated yield. That uncertainty changes behaviour. Despite MegaETH launching earlier and offering heavy incentives, Solana's USDe supply expanded faster and bigger. ~570M on Solana vs ~430M on MegaETH. ▶️ Introducing Silo for looping Silo v3 enables isolated lending markets with predictable, bounded interest rates designed for sustainable looped strategies. Borrowers are protected from runaway interest rate spikes, while admins retain the ability to adjust rates over time without forcing users to close positions or migrate to new markets. This creates a more stable borrowing experience and allows markets to continuously rebalance incentives between lenders and borrowers as conditions evolve. Silo v3 gives borrowers predictable, sustainable leverage without the risk of sudden interest rate spikes, ensuring predictable looped strategies. Yield attracts leverage. Borrow-rate certainty scales it. - Borrow rates are variable. Higher leverage means smaller room for error. Review market parameters before opening a position. NFA.
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Silo Intern
Silo Intern@SiloIntern·
Gmoewww yield enjoyerrrrs, back again to shill some farming opportunities currently live on Silo 👨‍🌾 Earn ~18% APY from looping yINJ/INJ Earn nearly 10% yield on USDC deposits via Silo Vaults on Mainnet Earn 4% APY on USDC on @XDCNetwork, curated by @nine_summits park idle capital, farm yields, touch grass, repeat market links below 👇 (pic unrelated)
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Silo Intern
Silo Intern@SiloIntern·
10/ Important notes Borrow rates are variable. Available borrow liquidity is limited. Leverage amplifies both gains and losses.
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Silo Intern
Silo Intern@SiloIntern·
7/ Where people get cooked They loop too aggressively chasing “maximum APY” Then: • borrow rates spike • INJ volatility increases • health factor drops • liquidators arrive Higher leverage = smaller room for error. If you’re new to looping, keep your health factor around 1.20–1.25 for a larger liquidation buffer. Aggressive loopers should constantly monitor borrow rates, volatility, and the asset peg.
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Silo Intern
Silo Intern@SiloIntern·
Alert: New loop found ⚡ Earn ~18% APY on your $INJ using leverage looping. Step-by-step guide below so even your grandma can follow it 👇
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Silo Intern
Silo Intern@SiloIntern·
the biggest hidden assumptions in DeFi lending: “liquidators will always show up” “risk managers never fail” entire protocols are built on these assumptions this creates hidden tail risk for lenders across DeFi read how Silo v3 changes the fallback architecture 👇
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Silo Labs | V3 Live@SiloFinance

1/ Most DeFi lending offers capped upside with hidden tail risk You earn small yield when things go well, but can lose heavily when liquidations fail. That’s not just “market risk.” It’s how most lending protocols are designed.

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Silo Intern
Silo Intern@SiloIntern·
Friendly reminder that RedStone price feeds are being discontinued on Sonic, effective May 10th. Impacted markets: 1️⃣ stS/S (ID 3) — v2.silo.finance/markets/sonic/… 2️⃣ stS/S (ID 28) — v2.silo.finance/markets/sonic/… 3️⃣ stS/USDC (ID 36) — v2.silo.finance/markets/sonic/… Required action: 1️⃣ Borrowers — close positions to retain access to your collateral 2️⃣ Lenders — withdraw funds before the feeds go offline 3️⃣ Please act before May 10th.
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Silo Intern
Silo Intern@SiloIntern·
eth burn rate is ~82k eth/year That's $184,500,000M USD a year Who doesn't love ETH's deflationary tokenomics?
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