6 Search Results for "Canidio, Andrea"

Document
DOI: 10.4230/LIPIcs.AFT.2025.8
Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers

Authors: Bruno Llacer Trotti, Weizhao Tang, Rachid El-Azouzi, Giulia Fanti, and Daniel Sadoc Menasché

Published in: LIPIcs, Volume 354, 7th Conference on Advances in Financial Technologies (AFT 2025)

Abstract
Liquidity providers (LPs) are essential figures in the operation of automated market makers (AMMs); in exchange for transaction fees, LPs lend the liquidity that allows AMMs to operate. While many prior works have studied the incentive structures of LPs in general, we currently lack a principled understanding of a special class of LPs known as Just-In-Time (JIT) LPs. These are strategic agents who momentarily supply liquidity for a single swap, in an attempt to extract disproportionately high fees relative to the remaining passive LPs. This paper provides the first formal, transaction-level model of JIT liquidity provision for a widespread class of AMMs known as Concentrated Liquidity Market Makers (CLMMs), as seen in Uniswap V3, for instance. We characterize the landscape of price impact and fee allocation in these systems, formulate and analyze a non-linear optimization problem faced by JIT LPs, and prove the existence of an optimal strategy. By fitting our optimal solution for JIT LPs to real-world CLMMs, we observe that in liquidity pools (particularly those with risky assets), there is a significant gap between observed and optimal JIT behavior. Existing JIT LPs often fail to account for price impact; doing so, we estimate they could increase earnings by up to 69% on average over small time windows. We also show that JIT liquidity, when deployed strategically, can improve market efficiency reducing slippage for traders, albeit at the cost of eroding passive LP profits by up to 44% per trade on average.
Cite as

Bruno Llacer Trotti, Weizhao Tang, Rachid El-Azouzi, Giulia Fanti, and Daniel Sadoc Menasché. Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers. In 7th Conference on Advances in Financial Technologies (AFT 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 354, pp. 8:1-8:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{llacertrotti_et_al:LIPIcs.AFT.2025.8,
  author =	{Llacer Trotti, Bruno and Tang, Weizhao and El-Azouzi, Rachid and Fanti, Giulia and Menasch\'{e}, Daniel Sadoc},
  title =	{{Strategic Analysis of Just-In-Time Liquidity Provision in Concentrated Liquidity Market Makers}},
  booktitle =	{7th Conference on Advances in Financial Technologies (AFT 2025)},
  pages =	{8:1--8:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-400-0},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{354},
  editor =	{Avarikioti, Zeta and Christin, Nicolas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2025.8},
  URN =		{urn:nbn:de:0030-drops-247278},
  doi =		{10.4230/LIPIcs.AFT.2025.8},
  annote =	{Keywords: Concentrated Liquidity Market Makers, Uniswap, Just-in-Time}
}
Document
DOI: 10.4230/LIPIcs.AFT.2025.7
Mechanism Design for Automated Market Makers

Authors: T-H. Hubert Chan, Ke Wu, and Elaine Shi

Published in: LIPIcs, Volume 354, 7th Conference on Advances in Financial Technologies (AFT 2025)

Abstract
Blockchains have popularized automated market makers (AMMs), applications that run on a blockchain, maintain a pool of crypto-assets, and execute trades with users governed by some pricing function. AMMs have also introduced a significant challenge known as the Miner Extractable Value (MEV). Specifically, miners who control the contents and sequencing of transactions in a block can extract value by front-running and back-running users' transactions, creating arbitrage opportunities that guarantee them risk-free returns. MEV not only harms ordinary users, but more critically, encourages miners to auction off favorable transaction placements to users and arbitragers. This has fostered a more centralized off-chain eco-system, departing from the decentralized equilibrium originally envisioned for the blockchain infrastructure layer. In this paper, we consider how to design AMM mechanisms that eliminate MEV opportunities. Specifically, we propose a new AMM mechanism that processes all transactions contained within a block according to some pre-defined rules, ensuring that some constant potential function is maintained after processing the batch. We show that our new mechanism satisfies two tiers of guarantees. First, for legacy blockchains where each block is proposed by a single (possibly rotating) miner, we prove that our mechanism satisfies arbitrage resilience, i.e., a miner cannot gain risk-free profit. Second, for blockchains where the block proposal process is decentralized and offers sequencing-fairness, we prove a strictly stronger notion called strategy proofness - roughly speaking, we guarantee that any individual user’s best response is to follow the honest strategy. Our results complement prior works on MEV resilience in the following senses. First, prior works have shown impossibilities to address MEV entirely at the consensus level. Our work demonstrates a new paradigm of mechanism design at the application (i.e., smart contract) layer to ensure provable guarantees of strategy proofness. Second, many works have attempted to augment the underlying consensus protocol with extra properties such as sequencing fairness. While most previous works heuristically argued why these extra properties help to mitigate MEV, our work demonstrates in a mathematically formal manner how to leverage such consensus-level properties to aid the design of strategy-proof mechanisms.
Cite as

T-H. Hubert Chan, Ke Wu, and Elaine Shi. Mechanism Design for Automated Market Makers. In 7th Conference on Advances in Financial Technologies (AFT 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 354, pp. 7:1-7:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{chan_et_al:LIPIcs.AFT.2025.7,
  author =	{Chan, T-H. Hubert and Wu, Ke and Shi, Elaine},
  title =	{{Mechanism Design for Automated Market Makers}},
  booktitle =	{7th Conference on Advances in Financial Technologies (AFT 2025)},
  pages =	{7:1--7:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-400-0},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{354},
  editor =	{Avarikioti, Zeta and Christin, Nicolas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2025.7},
  URN =		{urn:nbn:de:0030-drops-247265},
  doi =		{10.4230/LIPIcs.AFT.2025.7},
  annote =	{Keywords: Mechanism design, game theory, strategy proof, blockchain}
}
Document
DOI: 10.4230/LIPIcs.AFT.2025.26
Measuring CEX-DEX Extracted Value and Searcher Profitability: The Darkest of the MEV Dark Forest

Authors: Fei Wu, Danning Sui, Thomas Thiery, and Mallesh Pai

Published in: LIPIcs, Volume 354, 7th Conference on Advances in Financial Technologies (AFT 2025)

Abstract
This paper provides a comprehensive empirical analysis of the economics and dynamics behind arbitrages between centralized and decentralized exchanges (CEX-DEX) on Ethereum. We refine heuristics to identify arbitrage transactions from on-chain data and introduce a robust empirical framework to estimate arbitrage revenue without knowing traders' actual behaviors on CEX. Leveraging an extensive dataset spanning 19 months from August 2023 to March 2025, we estimate a total of 233.8M USD extracted by 19 major CEX-DEX searchers from 7,203,560 identified CEX-DEX arbitrages. Our analysis reveals increasing centralization trends as three searchers captured three-quarters of both volume and extracted value. We also demonstrate that searchers' profitability is tied to their integration level with block builders and uncover exclusive searcher-builder relationships and their market impact. Finally, we correct the previously underestimated profitability of block builders who vertically integrate with a searcher. These insights illuminate the darkest corner of the MEV landscape and highlight the critical implications for Ethereum’s decentralization.
Cite as

Fei Wu, Danning Sui, Thomas Thiery, and Mallesh Pai. Measuring CEX-DEX Extracted Value and Searcher Profitability: The Darkest of the MEV Dark Forest. In 7th Conference on Advances in Financial Technologies (AFT 2025). Leibniz International Proceedings in Informatics (LIPIcs), Volume 354, pp. 26:1-26:23, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{wu_et_al:LIPIcs.AFT.2025.26,
  author =	{Wu, Fei and Sui, Danning and Thiery, Thomas and Pai, Mallesh},
  title =	{{Measuring CEX-DEX Extracted Value and Searcher Profitability: The Darkest of the MEV Dark Forest}},
  booktitle =	{7th Conference on Advances in Financial Technologies (AFT 2025)},
  pages =	{26:1--26:23},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-400-0},
  ISSN =	{1868-8969},
  year =	{2025},
  volume =	{354},
  editor =	{Avarikioti, Zeta and Christin, Nicolas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2025.26},
  URN =		{urn:nbn:de:0030-drops-247450},
  doi =		{10.4230/LIPIcs.AFT.2025.26},
  annote =	{Keywords: Decentralized Finance, Maximal Extractable Value, CEX-DEX arbitrages}
}
Document
DOI: 10.4230/LIPIcs.AFT.2023.24
Batching Trades on Automated Market Makers

Authors: Andrea Canidio and Robin Fritsch

Published in: LIPIcs, Volume 282, 5th Conference on Advances in Financial Technologies (AFT 2023)

Abstract
We consider an automated market maker (AMM) in which all trades are batched and executed at a price equal to the marginal price (i.e., the price of an arbitrarily small trade) after the batch trades. We show that such an AMM is a function maximizing AMM (or FM-AMM): for given prices, it trades to reach the highest possible value of a given function. Competition between arbitrageurs guarantees that an FM-AMM always trades at a fair, equilibrium price, and arbitrage profits (also known as LVR) are eliminated. Sandwich attacks are also eliminated because all trades occur at the exogenously-determined equilibrium price. Finally, we show that our results are robust to the case where the batch has exclusive access to the FM-AMM, but can also trade on a traditional constant function AMM.
Cite as

Andrea Canidio and Robin Fritsch. Batching Trades on Automated Market Makers. In 5th Conference on Advances in Financial Technologies (AFT 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 282, pp. 24:1-24:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{canidio_et_al:LIPIcs.AFT.2023.24,
  author =	{Canidio, Andrea and Fritsch, Robin},
  title =	{{Batching Trades on Automated Market Makers}},
  booktitle =	{5th Conference on Advances in Financial Technologies (AFT 2023)},
  pages =	{24:1--24:17},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-303-4},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{282},
  editor =	{Bonneau, Joseph and Weinberg, S. Matthew},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.AFT.2023.24},
  URN =		{urn:nbn:de:0030-drops-192139},
  doi =		{10.4230/LIPIcs.AFT.2023.24},
  annote =	{Keywords: Arbitrage profits, Loss-vs-Rebalancing (LVR), MEV, Sandwich attacks, AMM, Mechanism design, Batch trading}
}
Document
Extended Abstract
DOI: 10.4230/OASIcs.Tokenomics.2022.7
Commit-Reveal Schemes Against Front-Running Attacks (Extended Abstract)

Authors: Andrea Canidio and Vincent Danos

Published in: OASIcs, Volume 110, 4th International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2022)

Abstract
We provide a game-theoretic analysis of the problem of front-running attacks. We use it to study a simple commit-reveal protocol and discuss its properties. This protocol has costs because it requires two messages and imposes a delay. However, we show that it prevents the most severe front-running attacks ("bad MEV") while preserving legitimate competition between users, guaranteeing that the earliest transaction in a block belongs to the honest user who values it the most ("good MEV").
Cite as

Andrea Canidio and Vincent Danos. Commit-Reveal Schemes Against Front-Running Attacks (Extended Abstract). In 4th International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2022). Open Access Series in Informatics (OASIcs), Volume 110, pp. 7:1-7:5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{canidio_et_al:OASIcs.Tokenomics.2022.7,
  author =	{Canidio, Andrea and Danos, Vincent},
  title =	{{Commit-Reveal Schemes Against Front-Running Attacks}},
  booktitle =	{4th International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2022)},
  pages =	{7:1--7:5},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-274-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{110},
  editor =	{Amoussou-Guenou, Yackolley and Kiayias, Aggelos and Verdier, Marianne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Tokenomics.2022.7},
  URN =		{urn:nbn:de:0030-drops-184241},
  doi =		{10.4230/OASIcs.Tokenomics.2022.7},
  annote =	{Keywords: Front running, Game theory, MEV, Transactions reordering, commit-reveal}
}
Document
DOI: 10.4230/OASIcs.Tokenomics.2020.6
VeriOSS: Using the Blockchain to Foster Bug Bounty Programs

Authors: Andrea Canidio, Gabriele Costa, and Letterio Galletta

Published in: OASIcs, Volume 82, 2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020)

Abstract
Nowadays software is everywhere and this is particularly true for free and open source software (FOSS). Discovering bugs in FOSS projects is of paramount importance and many bug bounty programs attempt to attract skilled analysts by promising rewards. Nevertheless, developing an effective bug bounty program is challenging. As a consequence, many programs fail to support an efficient and fair bug bounty market. In this paper, we present VeriOSS, a novel bug bounty platform. The idea behind VeriOSS is to exploit the blockchain technology to develop a fair and efficient bug bounty market. To this aim, VeriOSS combines formal guarantees and economic incentives to ensure that the bug disclosure is both reliable and convenient for the market actors.
Cite as

Andrea Canidio, Gabriele Costa, and Letterio Galletta. VeriOSS: Using the Blockchain to Foster Bug Bounty Programs. In 2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020). Open Access Series in Informatics (OASIcs), Volume 82, pp. 6:1-6:14, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{canidio_et_al:OASIcs.Tokenomics.2020.6,
  author =	{Canidio, Andrea and Costa, Gabriele and Galletta, Letterio},
  title =	{{VeriOSS: Using the Blockchain to Foster Bug Bounty Programs}},
  booktitle =	{2nd International Conference on Blockchain Economics, Security and Protocols (Tokenomics 2020)},
  pages =	{6:1--6:14},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-157-3},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{82},
  editor =	{Anceaume, Emmanuelle and Bisi\`{e}re, Christophe and Bouvard, Matthieu and Bramas, Quentin and Casamatta, Catherine},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.Tokenomics.2020.6},
  URN =		{urn:nbn:de:0030-drops-135286},
  doi =		{10.4230/OASIcs.Tokenomics.2020.6},
  annote =	{Keywords: Bug Bounty, Decentralized platforms, Symbolic-reverse debugging}
}
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