fiddy.dime - priv/acc 🦡

7.3K posts

fiddy.dime - priv/acc 🦡 banner
fiddy.dime - priv/acc 🦡

fiddy.dime - priv/acc 🦡

@fiddybps1

darklord of $DIME founder @tradeparadigm, @paradex

Maia Beigetreten Kasım 2015
2.4K Folgt28.5K Follower
Angehefteter Tweet
fiddy.dime - priv/acc 🦡
fiddy.dime - priv/acc 🦡@fiddybps1·
ADL is a relic of isolated margin systems copied from @BitMEX. It doesn’t work for options, and at best is a terrible experience for cross-margin users. Paradex deliberately chose not to implement ADL. It breaks cross-platform hedges, adds a lot of unpredictability to users’ risk management, and fails for complex assets and portfolio-margin setups. There’s also no guarantee of finding profitable ADL counterparties under cross margin, without further amplifying liquidations. @DeribitOfficial also operates without ADL. Socialized loss (SL) is a far better experience for users and scales easily to more complex assets and margin types 👇 Portfolio-Level Integrity ADL operates at the single-market level, without considering the user’s overall account exposure. The trader who is high on the ADL queue due to a highly profitable/leveraged position on one market isn't necessarily profitable on an account level. Example: BTC = $100,000, ETH = $4,000 Insurance Fund (IF) = $100,000 collateral + short 40 BTC perps. Alice has a $4M BTC-ETH spread on, i.e. +40 BTC perps (long) and –1,000 ETH perps (short) → Both BTC and ETH rally +5% → BTC to $105,000, ETH to $4,200. Under a normal scenario, Alice’s BTC and ETH positions offset, leaving her with flat PnL. But the insurance fund’s bankruptcy price is $102,500. To protect the fund, ADL is triggered and forces Alice’s BTC leg to be closed at $102,500 as it cannot afford a loss that is higher than $100,000. Alice realizes BTC profits based on a 2.5% move while her ETH short continues to lose 5%, leaving her with a $100,000 loss. This can, in theory, lead to an unfair liquidation of Alice's account. "Ethena" Risk The same is true for a trader that could be holding the opposite position on a different exchange. If the position is subject to ADL, it closes the profitable leg, leaving the user with a naked losing leg. This destroys the intended hedge and amplifies risk exposure. @ethena smartly negotiated this provision away for it's trading on CEXs but that now means the risk of ADL is being unfairly borne by the exchange's other users. Smart for Ethena but not scalable for the exchange. Given the potential market exposure imposed on affected accounts, ADL often triggers a forced unwind of positions, leading to fire-sale behavior that further amplifies market volatility and erodes liquidity. This mechanism is particularly unsuitable for exchanges with options, where users frequently hold multiple correlated instruments on the same underlying asset for hedging or risk-neutral strategies. In such environments, forcibly closing a single profitable leg through ADL can break portfolio hedges, destabilize the portfolio and, by extension, the market. To our knowledge, NO EXCHANGE discloses how cross-instrument exposures are handled under ADL. Conditional + Reversible Under a SL mechanism, losses are conditional, deferred (not immediately realized) and give users a choice. They are applied only upon withdrawal, and only if the platform is still experiencing a solvency deficit at that time. If the market rebounds, or if the insurance fund grows (either through profitable liquidations or additional allocations) and covers the deficit, the shortfall is erased and no SL is applied. By contrast, ADL crystallizes losses instantly and doesn’t give the user a choice. If a sudden market move causes insurance fund depletion, the system immediately closes profitable positions via deleveraging. Those users now permanently lose their realized profits. SL introduces time, and recovery potential into the loss-allocation process while giving users a choice. It penalizes only those who exit during insolvency, while long-term users benefit if solvency is later restored. Fair + Predictable Risk Distribution ADL targets specific traders (often highly leveraged and profitable ones), forcibly closing their positions to cover the platform shortfall. It penalizes traders for system-level insolvencies outside their control. SL by comparison avoids arbitrary targeting and maintains fairness. All users share the risk evenly and only when a persistent shortfall exists. Transparency ADL is a complex, queue-based mechanism that is very hard to anticipate for users. In contrast, a SL adjustment is a simple, transparent function of the insurance fund shortfall relative to the platform’s TVL. As it affects users only when they withdraw, it ensures predictability and transparency in the loss allocation. Compute Efficient = "Chain Friendly" SL simplicity makes it straightforward to implement on-chain in a trustless manner. There is less compute complexity which means cost and throughput constraints are alleviated. ADL’s dynamic queue logic is computationally heavy as it requires scanning all accounts on the platform, making it very expensive and error-prone. It also adds congestion to a system that is likely to already be congested when ADL is triggered. October 10 = Wake Up Call If your CEX can’t guarantee portfolio integrity under stress, it’s the architecture that’s broken. Switch to DEXs with intelligent loss-allocation that protects hedges, distributes risk fairly while staying conditional and predictable. Paradexio
Stablecoin Sean@seanlippel

This is so highly misleading by only focusing on the ADL on the largest coins, which suffered from far less price discolation and ADL overall than other coins If you are running a long / short book as I was, you are long these assets below, not short them This also looks at ADL in a vacuum, and without regard to anything else in an account Your larger shorts are going to be in the other top 50 alts that are dog shit imo (ATOM, STX, APT, FET) - those shorts closed much earlier and blew you out leaving with only longs to liquidate your account There are so many other places where the @HyperliquidX platform is broken for perps (no ADL transparency / queue, no flash crash protection, one touch price oracles for liquidation (non time based), no whale risk blocker, and zero insurance fund is laughable for someone at $hype scale So please get this propaganda off my timeline, it is insulting. I can assure you @HyperliquidX did not perform well for anyone running a larger profitable long / short book, or even any sort of mild leverage on just longs. I cannot recommend to anyone serious or an instó to trade on hype when they don't even acknowledge these issues. In fact, between @DriftProtocol and @dYdX where I run very similar books, only @HyperliquidX blew me out. Still waiting for my @chameleon_jeff chat 🫡

English
143
69
516
171.9K
fiddy.dime - priv/acc 🦡
This is only going to get worse with all the AI related layoffs that are coming. Combine that with less risk taking in general because of the war and we are effectively looking at a high likelihood of a deep recession.
ADAM@AdameMedia

Trump has killed America. It was already dying but the chimp has put the cushion over its face. Fed Chair Jerome Powell gives the bad news: "There is effectively ZERO NET JOB CREATION in the private sector."

English
0
0
6
1.3K
fiddy.dime - priv/acc 🦡
the root cause of toxic flow in continuous order books is that they treat time as continuous while processing requests serially batch auctions solve this by discretizing time and matching in batches rpi + a speed bump solves the same problem differently: keep the market continuous, but create a slow lane where participants compete on a more level clock for exchanges that are already live, it is also the less disruptive path same problem more practical fix
Logan Jastremski@LoganJastremski

The high-frequency trading arms race is a symptom of flawed market design. Instead of the continuous limit order book market design that is currently predominant, we argue that financial exchanges should use frequent batch auctions: uniform price double auctions conducted, for example, every tenth of a second. That is, time should be treated as discrete instead of continuous, and orders should be processed in a batch auction instead of serially. Our argument has three parts. First, we use millisecond-level direct-feed data from exchanges to document a series of stylized facts about how the continuous market works at high-frequency time horizons: (i) correlations completely break down; which (ii) leads to obvious mechanical arbitrage opportunities; and (iii) competition has not affected the size or frequency of the arbitrage opportunities, it has only raised the bar for how fast one has to be to capture them. Second, we introduce a simple theory model which is motivated by and helps explain the empirical facts. The key insight is that obvious mechanical arbitrage opportunities, like those observed in the data, are built into the market design—continuous-time serial-processing implies that even symmetrically observed public information creates arbitrage rents. These rents harm liquidity provision and induce a never-ending socially wasteful arms race for speed. Last, we show that frequent batch auctions directly address the flaws of the continuous limit order book. Discrete time reduces the value of tiny speed advantages, and the auction transforms competition on speed into competition on price. Consequently, frequent batch auctions eliminate the mechanical arbitrage rents, enhance liquidity for investors, and stop the high-frequency trading arms race.

English
1
0
10
1.6K
fiddy.dime - priv/acc 🦡
pretty amazing to see how quickly people have realized that openclaw is not just another open-source project. it is now the agent framework and ecosystem and has forever changed how we think of software, automation, and human-computer interaction. going forward, projects and companies will need to consider how their products, tools, and workflows integrate with the broader openclaw ecosystem
DimeTV@dimetvhq

JUST IN: Bitget CEO Gracy Chen said the exchange is “heavily investing” in OpenClaw and agent OS systems to help users make better trading and investment decisions. “OpenClaw and this kind of agent OS setting can really understand our users’ own portfolio goals, behavior, habits, etc., so that helps them make better decisions. That’s one thing we are heavily investing in.” Source: @Unchained_pod

English
2
0
15
1.7K
fiddy.dime - priv/acc 🦡 retweetet
Staking Rewards
Staking Rewards@StakingRewards·
Hyperliquid just flipped BNB Chain to become the #3 chain by Staking Market Cap. $17.96B worth of $HYPE staked, 45.08% of supply
Staking Rewards tweet media
English
31
61
420
26.3K
matvey
matvey@matveyrey·
@fiddybps1 @paradex I hope so FYI that's what's making me stick with Extended, hope you guys can catch up swiftly
English
1
0
1
45
fiddy.dime - priv/acc 🦡
RWA perps on @paradex are designed to deliver a materially improved trading experience. Significant work has gone into addressing key market structure issues, including: + 24/7 market access + funding rate stability + no ADL + a robust oracle price that is not artificially anchored to the market close This methodology will be extended across all RWA markets and reflects Paradex’s continued focus on building products designed to better protect traders.
Paradex@paradex

Silver $XAG is now available to trade on Paradex as the first RWA perpetual market. Trade anything with full privacy and zero fees.

English
4
1
47
2.4K
matvey
matvey@matveyrey·
@fiddybps1 @paradex how quickly are you expecting to enabling more RWA markets ?
English
1
0
0
100