On May 14, Senate Banking Committee votes on Clarity Act. stPROS / tbPROS is not just “deposit & earn.” Yield comes from: • Staking (securing Pharos Network) • RWA (real-world asset cash flow) Faroo’s Hybrid Yield combines both. Built this way from day one. Check @Farooxyz

Event Recap | RWA: The Evolution of Global Liquidity Today we co-hosted an intimate RWA gathering at HashKey Office alongside @pharos_network , @HashKeyGroup , @Bifrost & @LabsWeb368672, bringing together policymakers, institutional capital, and Web3 builders for a morning of focused dialogue. Here are some highlights 👇

🟥🟧🟨🟩🟦🟪 DOT Pixel is almost ready on @Polkadot Hub. An open 1,000,000-pixel canvas, buy, paint, overwrite, and compete. Last buyer standing takes the entire prize pool. Before we go live, we're running a rewarded testnet campaign with real DOT up for grabs. Have Fun👇

We have a website now. 👉 The first step toward learning about how our hybrid-yield protocol works and what we're building for Pharos. Full product experience coming soon.

Oct 10th Red Friday: the root cause of Stream xUSD blowing up, the longer version Stream xUSD is a "tokenised hedge fund" masquerading as a DeFi stablecoin, claiming to run delta-neutral strategies. Now Stream has gone underwater in questionable circumstances. Over the past five years, multiple projects have followed this playbook, attempting to bootstrap their own token through revenue generated from delta-neutral investments. Some successful examples include: MakerDAO, Frax, Ohm, Aave, Ethena. Unlike many of its true(er) DeFi competitors, Stream lacked transparency regarding its strategies and positions. Only $150M of the claimed $500M TVL was visible onchain on portfolio trackers like @DeBankDeFi. It turned out that Stream had invested in offchain trading strategies run by proprietary traders, and some of these traders blew up, leaving a claimed hole of $100 million in losses. 1. As reported by @CCNDotComNews The $120M Balancer DEX hack on Monday did not play any role in this. According to rumours (which we cannot confirm, as Stream does not disclose), offchain trading strategies involving "selling volatility" are reportedly involved. In quantitative finance, "selling volatility" (also known as being "short volatility" or "short vol") refers to implementing trading strategies that profit when market volatility decreases, remains stable, or when realised (actual) volatility turns out lower than the implied volatility priced into financial instruments. If the underlying asset's price doesn't move significantly (i.e., low volatility), the options may expire worthless, allowing the seller to retain the premium as profit. However, this approach carries substantial risk, as a sudden spike in volatility can lead to large losses—often described as "picking up pennies in front of a steamroller." 2. More about selling volatility: We had such a "spike in volatility" even on October 10th, on the Red Friday. A systematic leverage risk built up across cryptocurrency markets over time, driven by the euphoria surrounding Donald Trump in 2025. When Mr Trump announced new tariffs on Friday afternoon October 10th, all markets panicked, and this panic spread to the cryptocurrency markets. In a panic, it pays to panic first and sell off what's ensured. This sell-off resulted in a cascading liquidation. As the leverage risk had built up over a long period and taken the systematic leverage to a high level, the perpetual futures markets lacked sufficient depth to unwind and liquidate all leveraged positions smoothly. In this situation, Automated Deleverage (ADL) systems kicked in and started to socialise losses across profitable market participants. This further twisted markets already knee-deep in the madness. 3. What is automated deleverage: The volatility resulting from this event was a once-in-a-decade event in the cryptocurrency markets. While not unseen, such drops had occurred earlier in the early cryptocurrency markets of the 2016 era. We do not have good data from this era, so most algorithmic traders have based their strategies on recent "smooth volatility" data. As we have not seen such spikes recently, the leveraged positions, even if with very modest leverage of ~2x, were blown up. There is a good write-up by Maxim Shilo here about what this event meant for the algorithmic traders and how cryptocurrency trading is likely to be permanently changed after the Red Friday: 4. Shilo on how Oct 10th changed crypto algo trading Now we have the first dead bodies surfacing from the Red Friday events, and Stream got hit. The definition of a delta-neutral fund is that you cannot lose money. If you lose money, you are, by definition, not delta neutral. Stream promised to be delta neutral, but behind everyone's backs, they had invested in proprietary, non-transparent, off-chain strategies. Delta neutral is not always black and white; hindsight is easy. Many experts would likely deem these strategies too risky to be considered truly delta neutral. Because these strategies could backfire. And backfire they did. When Stream lost their principal in these bad trades, Stream became insolvent. DeFi is risky, and losing some of your money is ok. You can still get your dollars back to 100%, and a 10% one-time drawdown is not devastating if you are earning a 15% annual yield. However, in this case, Stream had also leveraged itself to the hilt by "recursive looping" lending strategies with Elixir, another stablecoin. 5. What is recursive looping: 6. How did Stream lever up and how much: To add to the insult, Elixir claims "seniority" based on an offchain agreement for the recovery of their principal in the case Stream goes bust. This would mean Elixir receives more money back, while other DeFi investors in Stream receive less (or no) money back. Due to a lack of transparency, recursive looping, and proprietary strategies, we do not actually know the losses incurred by Stream users. The Stream xUSD stablecoin price is currently trading at $0.60 per dollar. Because this was not disclosed to these DeFi users, many of these users are now extremely pissed off at both Stream and Elixir: not only losing money, but losses are socialised to ensure rich Americans from a Wall Street background keep the profit. This event also affects lending protocols and their curators: "Everyone who thought that they were lending on Euler against collateralised positions was literally engaged in uncollateralised lending by proxy" -Rob from @infiniFi. Furthermore, since Stream did not have transparency or onchain data on its positions and profits and losses, in the light of these events, users began to suspect that Stream was fraudulently appropriating users' profits for the management team. Stream xUSD stakers rely on Stream self-reported "oracles" for their profit, and third parties cannot confirm if any calculations are correct or fair. How to tackle this? Incidents like Stream are avoidable, especially in a young industry like DeFi. The rule "high risk, high reward" always applies. However, to use this rule, you must first understand the risk: not all risks are made equal, some of risk can be unnecessary. There are several reputable yield farming, lending, and stablecoin-as-a-tokenised-hedge-fund protocols that are transparent about their risk, strategies, and positions. @StaniKulechov from @aave discusses DeFi curators and when the excessive risk taking may happen here: 7. Stani on the recent DeFi risk realisation events To make the difference between "good vaults" and "bad vaults" more obvious, at Trading Strategy, we have begun publishing our own Vault Technical Risk Score in our DeFi vault report. 8. Read the announcement about Vault Risk Framework here: The technical risk refers to the likelihood of losing money invested in a DeFi vault due to poor technical execution. The Vault Technical Risk Framework offers a straightforward tool for categorising DeFi vaults into higher- and lower-risk categories. The technical risk score does not get rid of market risks like bad trades, contagion or so on, but it guarantees that a third party can assess those risks. With better information available for DeFi users, capital allocation will shift towards good actors, and incidents like Stream will be less severe in the future.

TLDR; what is GIGADOT? 🤨 GIGADOT ( $GDOT ) is a new token from @hydration_net that combines yield from FOUR sources into a single product, tackling several liquidity challenges and user demands at once - making use of our all-in-one DeFi stack that is only possible on Polkadot ⭕️ Specifically what is it? GIGADOT is the sharetoken of a new type of stablepool between aDOT & vDOT, with a "drifting peg" based on the fair value ratio of DOT/vDOT from Bifrost (this is received via XCM) - these sharetokens are automatically deposited into Hydration's Supply & Borrow - so if you were to use the same naming standards as other features on Hydration, GDOT would be known as a2-Pool-aDOT-vDOT I'm sure you'll agree that GIGADOT is far more based 😎 🔸vDOT is the yield-bearing DOT LST from Bifrost 🔸aDOT is the rebasing token users receive when supplying DOT to Supply & Borrow What problems does it solve? This product was designed in order to address the following needs of Hydration & Polkadot more broadly: 🔸insufficient vDOT liquidity to responsibly scale vDOT lending on Supply & Borrow 🔸insufficient DOT availability in Supply & Borrow to allow for vDOT-DOT yield looping 🔸lack of high-T tokens in Polkadot eco 🔸having to decide between staking DOT, lending it, borrowing against it, farming with it 🔸need BIG BULLISH collateral ready for HOLLAR 🔸need for strong ecosystem collateral for wider opportunities outside of Hydration 👀 What are the sources of yield? GIGADOT combines yield from: 🔸staking yield from vDOT 🔸lending yield from aDOT 🔸trading fees between vDOT & aDOT 🔸additional incentives (paid in GDOT) Why isn't it in the Omnipool? Because it doesn't need to be! Due to the unique architecture of Hydration and our implementation of Supply & Borrow AS AN ADDITIONAL AMM - our trade router simply diverts through Omnipool, stablepools, isolated pools & now the supply & borrow AMM! Example 1, swapping DOT for GDOT 🔀DOT > supply as collateral to Supply & Borrow and receive aDOT > deposit aDOT into aDOT/vDOT stablepool > deposit stablepool shares into Supply & Borrow Example 2, swapping USDT for vDOT 🔀USDT > deposit USDT into USDT/USDC 2-Pool > swap USDT/USDC 2-Pool shares for DOT (Omnipool) > supply as collateral to Supply & Borrow and receive aDOT > swap aDOT for vDOT (stablepool) ---- What else would you like to know about GIGADOT? 🤔