ETHSofia · Oct 6, 2026

With Sally Meouche - Ghrawi (4PTO Labs, moderator), Jordan Duclos (Truflation) and Dragomir Dikov (Jungle Trade). The last session of the day follows the chain from raw market data to a trading decision. Jordan Duclos explains how Truflation turns around 100 million daily data points into some 500 live indexes, arguing that monthly government inflation figures are too slow and that in finance latency is death. Dragomir Dikov of Jungle Trade argues that market noise is worth analysing rather than discarding, that every signal should carry an explicit confidence level, and that full trading automation is inevitable but premature today. Moderated by Sally Meouche - Ghrawi, the panel debates where the edge lies and whether shared AI models lead to correlated strategies, with Dikov naming trust as the scarce resource in three years and Duclos betting on real-time data as markets move to 24/7 trading. Panel at Future Finance Forum 2026, 25 September 2026, Sofia. Part of Blockchain Week Bulgaria 2026. Speakers ▸ Sally Meouche - Ghrawi, Founder and CEO, 4PTO Labs (moderator) Sally Meouche-Ghrawi is Founder & CEO of 4 Point O (4PTO) Labs, building across AI, fintech and Web3, and Co-Founder of Buildrooms, Bulgaria’s first Web3 hub. She works with startups, protocols and enterprises on emerging tech, product development and market strategy. LinkedIn: https://linkedin.com/in/sallymg ▸ Jordan Duclos, Head of Growth, Truflation Jordan is Head of Growth at Truflation. After starting his career in SaaS, helping banks and public institutions improve customer engagement, he moved into blockchain, working across the Ethereum and Bitcoin ecosystems. At Truflation, he focuses on making inflation and economic data more accessible through clear, impactful storytelling. LinkedIn: https://www.linkedin.com/in/jordan-duclos-b48b72153 ▸ Dragomir Dikov, CEO, Jungle Trade Dragomir Dikov is Co-founder and CEO of JLabs, the team behind Jungle Trade, building trading technology and market-analysis tools. He holds a master's degree in Structural Engineering and has 15+ years of experience in geotechnical modelling and structural design. He is a Python programmer and quantitative data scientist focused on probability and stochastic modelling. LinkedIn: https://www.linkedin.com/in/dragomir-dikov Chapters 00:00 Introduction: from data to decision 00:57 What has been missing in market data? 02:43 Is market noise useful? 03:57 Real-time inflation data 07:16 Regime shifts 08:45 Signals and confidence 09:54 Where is the edge? 14:43 From analysis to autonomous trading 16:25 Prediction markets as a signal 20:16 What if everyone uses the same models? 21:41 Three years out: where will the scarcity be? 25:54 Q&A: Can human traders compete with machines? 28:35 Q&A: Buy data and signals or build your own? Blockchain Week Bulgaria: https://www.blockchainweek.bg ETHSofia: https://www.ethsofia.com Future Finance Forum: https://www.blockchainweek.bg/f3 Follow Blockchain Week Bulgaria X: https://x.com/BWBulgaria LinkedIn: https://www.linkedin.com/company/blockchain-week-bulgaria Follow ETHSofia X: https://x.com/EthSofiaBG LinkedIn: https://www.linkedin.com/company/ethsofia Telegram: https://t.me/+b-33LJUpAB5iODNk Nothing in this video is financial advice. About the organiser Blockchain Week Bulgaria, ETHSofia and the Future Finance Forum are organised by the Bithope Foundation, founded in 2014 by Vladislav Dramaliev. Inspired by Andreas Antonopoulos, it is Europe's first non-profit operating exclusively with bitcoin donations. Over more than ten years, it has supported 50+ charitable campaigns, and in January 2016 it co-founded the Sofia Crypto Meetup, now the region's longest-running monthly crypto event. https://bithope.org

ETHGlobal · Sep 9, 2026

Marc Tillement, Director at Pyth Network, explains how market data became a concentrated, roughly $50 billion industry and why open infrastructure can make prices more accessible. Traditional exchanges earn substantial revenue selling data that trading firms themselves help create, leaving applications to pay high recurring fees for fragmented feeds. Pyth reverses that model by enabling trading firms and other first-party sources to contribute prices directly to a network that can publish them across crypto and traditional-asset markets. Tillement describes a market structure in which exchanges sell expensive feeds back to the firms and applications that depend on them. A small group of vendors captures most industry revenue, applications face expensive and fragmented access, and global products must integrate different sources for equities, commodities, foreign exchange, and crypto. Pyth recruits trading firms that generate prices through their own activity and lets them publish those observations directly, creating a first-party model rather than purchasing and reselling one consolidated feed. Tillement describes how lower-cost, high-frequency data supports trading venues, DeFi protocols, fintech applications, prediction markets, and derivatives. The network emphasizes publisher quality, broad asset coverage, and products that can serve customers who previously relied on several vendors. New feeds include international equities and specialized datasets that are difficult to reconstruct from public information. He argues that continuous, global price access is part of finance’s shift toward 24/7 markets: reliable data reduces application costs, expands the assets developers can offer, and helps both onchain and offchain products settle against a common view of value. Trust comes from the quality, diversity, and track record of publishers, plus the economic activity secured by the network. Pyth initially concentrated on trading because continuous markets generate large volumes and require timely settlement data. The network is expanding into Asian equities, indices, and specialized feeds while also introducing products for customers that need datasets Pyth cannot produce itself. 00:00 Introduction to Pyth Market Data 00:48 Why the Market Data Industry Can Change 01:44 The Cost of Traditional Market Data 02:10 A Fifty-Billion-Dollar Industry 02:42 Why Pyth Redesigned Market Data 03:26 Always-On and Programmable Prices 04:01 Pyth as Spotify for Financial Data 04:57 Trading Firms Publish First-Party Prices 05:39 Three Thousand Assets in One Network 06:16 One API Across Global Asset Classes 06:57 Equity Data for Onchain Applications 07:39 Cutting Fintech Data Costs 08:22 Exclusive Data From Trading Firms 08:59 Cryptographic Proof for Every Feed 09:30 Why Pyth Focused on Trading 10:15 Fast Data for Equity Trading 11:28 Attracting Institutional Publishers 12:31 Pyth Pro and Expanding Data Coverage 12:56 Launching Asian Equity Feeds 13:37 Third-Party Data Through One API 14:09 Pyth Indices for Onchain Markets 14:38 A Full-Service Market Data Platform 15:54 Prediction Markets and Derivatives 16:46 Growth Beyond Crypto Price Feeds 17:58 Always-On Markets Without Holidays 18:21 Commodity, Equity, and FX Indices 19:54 Closing Vision for Accessible Prices _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 🇵🇹 *Pragma Lisbon 2026* Pragma Lisbon 2026 was held on June 25th at the Carlos Lopes Pavillion in Lisbon, Portugal and was an in-person summit for builders and leaders in the web3 ecosystem. Watch the full Pragma Lisbon 2026 YouTube Playlist here: https://www.youtube.com/playlist?list=PLMxB4xW8JYdk ETHGlobal's Pragma series takes place in cities around the world, and is designed to be a different kind of event. Pragma is a one-stage conference with founders-only on stage, bringing together a small group of curated attendees and speakers to discuss the future of web3 and reflect on the past. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ✅ Follow Marc Tillement X: https://x.com/KemarTiti ✅ Follow Pyth Network X: https://x.com/PythNetwork ✅ Follow ETHGlobal X: https://x.com/ETHGlobal​ Warpcast: https://warpcast.com/ethglobal Website: https://ethglobal.com YouTube: https://www.youtube.com/@UCfF9ZO8Ug4xk_AJd4aeT5HA _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Are you interested in Ethereum development and entrepreneurship? 👉 Sign up for the next ETHGlobal event: https://ethglobal.com/events 🎁 Get exclusive access and perks with ETHGlobal Plus! https://ethglobal.com/plus 📣 Want us to throw an event in your city? Tell us where! https://ethglobal.com/city

ETHGlobal · Jul 9, 2026

In this talk, Mike Cahill, CEO of Douro Labs (the team building the Pyth Network), explains why markets need a new price setup and how Pyth makes the price of everything accessible to everyone. He recounts how about five years ago, while at Jump Trading with co-founders Jan and Kieran, he went deep into market infrastructure trying to figure out how to build a global harmonized market for trading real world assets on and off chain, and found the biggest bottleneck was financial market data. That industry generates around $50 billion in annual revenue but is siloed, fragmented, and dominated by Bloomberg charging $30,000 per seat as a basic package, with premium feeds like CME, NASDAQ level two, and ICE layered on top, requiring relationships and audits with hundreds of vendors worldwide. Mike explains that while this mess worked for existing markets, it breaks for blockchain-based cleared markets, which are global, programmable (requiring cryptographic proofs to preserve trust), and 24/7. Pyth solves this with a marketplace connecting data publishers to consumers, aggregating information while preserving trust and publishing proofs to any blockchain. The first-principles unlock was sourcing high quality data from major trading firms like Jump, Jane Street, and Susquehanna that had never monetized this byproduct, then anonymizing and stitching it together, making Pyth the first original price source rather than just an oracle. He shares the scale: over 100 institutions publishing data, delivery to over 100 blockchains, every asset class covered, powering more than 60% of perpetuals markets, $3 trillion in transaction volume, over 700 enterprises, and 3,000+ symbols. He walks through three product verticals: Pyth Pro (the Spotify for market data, one ever-growing subscription, adding $1 million monthly ARR toward $20 million by year end), a data marketplace (born from publishing US Department of Commerce GDP data on chain, now launched with Euronext, SGX, and OTC Markets), and new 24/7 markets that harmonize off-chain and on-chain trading into seamless indices. He closes announcing the 24/7 indices launching that week with Coinbase, Kraken, dYdX, and Market Vector as first users, after Pyth oil saw insatiable demand. 00:00 Introduction 00:35 The Problem Pyth Set Out to Solve 00:55 Where Pyth Is Today 01:17 The Bottleneck of Financial Market Data 01:38 A $50 Billion Siloed Industry 01:58 Bloomberg and the Basic Cable Model 02:19 Hundreds of Vendors and Audits 02:38 Why It Breaks on Blockchains 03:00 Why Blockchains Need a New Approach 03:22 The Pyth Marketplace Model 03:41 Rethinking Data Sourcing From First Principles 04:01 Tapping Trading Firms' Unmonetized Data 04:18 Why Pyth Is More Than an Oracle 04:35 Creating an Original Price Source 04:45 The Scale of the Network Today 05:03 Every Asset Class Covered 05:32 The Publishing Side of the Network 05:55 Sourcing the Best in Each Category 06:22 The Three Product Verticals 06:43 Pyth Pro: The Spotify for Market Data 07:15 The Data Marketplace Vertical 07:40 The Pyth Terminal 08:03 Pyth Pro Scaling Toward $20 Million ARR 08:31 Powering Kalshi Without On-Chain Proofs 08:57 Pyth Pro Video 09:26 A Reminder of the Scale 09:47 The Marketplace and the US Commerce Collaboration 10:10 Publishing GDP On Chain 10:35 Launching With Euronext, SGX, and OTC Markets 10:58 Introducing 24/7 Markets 11:24 How Pyth Constructs 24/7 Indices 11:50 From Pyth Oil to Equities, Metals, and FX 12:00 Launching This Week With Coinbase, Kraken, dYdX 12:43 Why 24-Hour Markets Will Be the Norm 12:43 Closing _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ *ETHConf 2026* ETHConf is a 3 day event for founders, industry leaders, and builders who are excited about the possibilities of building on top of Ethereum. Connect with 2,000+ top innovators in crypto, finance, technology, and policy at our inaugural three-day event packed with showcases, demos, partnerships, and conversations shaping the future of the global economy. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ✅ *Follow ETHConf* X: https://x.com/ethconf Website: https://ethconf.com _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 🎟️ Get your early bird tickets for ETHConf 2027: https://ethconf.com/2027#tickets 🎤 View the full ETHConf 2026 Speaker Schedule: https://ethconf.com/schedule _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

ETHGlobal · Oct 9, 2025

Jayant Krishnamurthy, CTO and co-founder of Pyth Network, breaks down why DeFi struggles to compete with traditional finance (TradFi) and how infrastructure improvements can bridge the gap. He compares DeFi and TradFi across speed, cost, and trust, highlighting key pain points like high gas fees, slow transactions, and security risks. Krishnamurthy also explores how Pyth Network’s solutions—such as low-latency price feeds, on-chain randomness, and MEV reduction—are paving the way for a more efficient DeFi ecosystem. Learn how better infrastructure can enable DeFi to finally rival TradFi in usability and adoption. 00:00 - Introduction 00:42 - The Problem with DeFi 01:16 - TradFi vs. DeFi Comparison 03:20 - Infrastructure as the Key 05:15 - Lessons from Past Tech Shifts 07:50 - Blockchain’s Programmable Trust 09:49 - Pyth Network’s Solutions 12:17 - High-Frequency Price Feeds 13:20 - On-Chain Randomness 15:14 - Solving MEV 18:15 - Oracles & DeFi Growth 19:52 - Future of DeFi vs. TradFi 20:19 - Conclusion _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 🇺🇸 *Pragma San Francisco* Pragma San Francisco 2024 was a special gathering of founders and builders that took place October 16th and 17th at The Contemporary Jewish Museum in San Francisco, CA. Pragma San Francisco 2024 was an opportunity discuss the future of web3 and reflect on the past. Watch the full Pragma San Francisco playlist here: https://youtube.com/playlist?list=PLXzKMXK2aHh4LcwDpGf_itZrAu7XRNb07&si=3x3y9J3avgNTITUe ETHGlobal's Pragma series takes place in cities around the world, and is designed to be a different kind of event. Pragma is a one-stage conference with founders-only on stage, bringing together a small group of curated attendees and speakers to discuss the future of web3 and reflect on the past. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ✅ *Follow Jayant Krishnamurthy* X: https://x.com/jayantkrish ✅ *Follow Pyth Network* X: https://x.com/PythNetwork ✅ *Follow ETHGlobal* X: https://x.com/ETHGlobal​ Warpcast: https://warpcast.com/ethglobal Website: https://ethglobal.com YouTube: https://www.youtube.com/c/ETHGlobal _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _Are you interested in Ethereum development and entrepreneurship?_ 👉 Sign up for the next ETHGlobal event: https://ethglobal.com/events 🎁 Get exclusive access and perks with ETHGlobal Plus! https://ethglobal.com/plus 📣 Want us to throw an event in your city? Tell us where! https://ethglobal.com/city _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _

EthCC · Aug 9, 2024

This keynote is an in-depth presentation on the benchmarking data used in the context of crypto derivatives settlement, both on and off chain, specifically diving into regulated use cases and benchmark data provided by independent index providers. The video discusses the significance of benchmarks in the settlement of crypto derivatives, highlighting their role as reference prices. The speaker explains that benchmarks can be sourced online or from trusted third parties and stresses the importance of using regulated benchmarks to prevent manipulation, drawing parallels to the Libor scandal. The current state of the crypto derivatives market is examined, noting its volume compared to spot markets and the growth in open interest for Bitcoin and ETH futures. Examples of exchanges using regulated benchmarks for settlement are provided, and the requirements for creating reliable crypto benchmarks are outlined, including regulatory compliance, data quality, robust methodology, and a stable platform. The talk aims to convey the maturing process of the crypto industry by adopting best practices from traditional finance.