YieldShield Offers the Highest Risk Free Yield

Joined October 2025
One design, six chains. We're building downside protection wherever people invest. Holders keep the upside. Paid providers carry the downside, with the backing reserved on-chain before anyone commits. What each testnet adds 🧵
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Tokens trade all weekend. The stock behind them still clocks out Friday at 4pm. Anything that happens on Saturday shows up at Monday's open, all at once.
nothing more spooky than traditional stocks still trading the same hours they did in 1985
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Nobody has to argue anymore about whether holders want this trade. The open question is who gets to check the protection. Onchain, anyone can.
BREAKING🚨 @BlackRock just filed for another Bitcoin ETF. This one will be a "buffer" Bitcoin ETF which will means it will offer downside protection but investors will give up some upside to get that protection. Ticker will be $PBIT.
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How protection works, in 14 seconds. Price rises: keep the asset and share part of the gain. Price falls: take the backing, fixed when you entered. Either way, the backing was reserved on-chain before you committed. Live on six testnets 👇 yieldshield.ai/testnets
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Our Avalanche, Stellar, Monad, BNB and Flare apps are open source (MIT): contracts, tests and end-to-end evidence. github.com/YieldShield Issues and PRs welcome.
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Which yield-bearing asset would you most want downside protection on?
0%Staked ETH / LSTs
100%Yield-bearing stablecoins
0%DeFi vault shares
0%Tokenized stocks
1 votes • Final results
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We rewrote our website. The old headline promised "risk-free yield". That was wrong: providers can lose, cover stops at the reserved backing, and everything is still testnet. New: what each of our six testnets adds, plain-language risks and an FAQ. yieldshield.ai
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On @BNBCHAIN testnet: claim free test tokens, trade them, then protect them through a synthetic price shock and see exactly who absorbs the loss. No real money involved: bnb.yieldshield.ai
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YieldShield is live on @FlareNetworks Coston2 testnet ☀️ Protect test FLR against a fixed backing claim, valued at entry by FTSOv2, the oracle built into Flare, and reserved at 150% by separate providers. Valueless test tokens, open source: flare.yieldshield.ai
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One testnet position, start to finish: 1. Protect 0.1 AVAX at 25 → backing claim of 2.5 2. Price hits 35 → exit half as AVAX, paying 12% of its gain 3. Exit the rest to the backing → 1.25, whatever AVAX does next Synthetic test price, all on-chain: github.com/YieldShield/yield…
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Why so many chains? People invest across all of them, and the risk follows them. AI-assisted development lets a small team build natively on each. Test tokens only, unaudited. Tell us where you invest 👇 yieldshield.ai/testnets
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Tokenized stocks sold off this weekend while Wall Street was closed. 24/7 markets mean 24/7 downside. So who carries the drop until Monday? On Base Sepolia we're testing one answer: a fixed backing claim per position, reserved on-chain by paid providers. Test tokens only.
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Every protected position has two sides. Holders keep the asset and its upside, minus a share of gains. Providers supply first-loss backing, earn those fees, and take the loss if a holder exits to the backing after a drop. Both see the same on-chain reserves.
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A design choice that matters: On Avalanche Fuji, protection uses Chainlink AVAX/USD. If that price is stale (20+ min old) or the round is incomplete, the contract rejects it. No fallback to a guessed price. Backing exits don't need a price at all: your claim is fixed at entry.
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