SFI (StableCoin Financial Infrastructure) is a world-leading full-stack Web4 infrastructure provider building a closed-loop business ecosystem around four core pillars: compliant stablecoin payment, RWA tokenization, real-economy consumption ecosystem and AI quantitative trading. Its in-house developed SFI AI Trading Bot has become the core revenue growth driver for the group and the Solulu ecosystem thanks to proprietary technical architecture and consistent positive live-trading returns.
Recently, the exclusive Swiss AI & Blockchain Quantitative Summit, a top-tier European industry exchange event, successfully concluded in Crypto Valley. The summit gathered Ethereum co-founders, senior executives from Hyperliquid, representatives of multiple Swiss banks and elite AI quantitative specialists. SFI showcased its proprietary AI trading bot at the event and held in-depth exchanges with leading global tech teams and traditional financial institutions. Its comprehensive strategy framework, intelligent trading logic and bank-grade risk control model won widespread recognition from authoritative attendees.
Boasting consistent performance across exchange live competitions throughout the year, the SFI AI Trading Bot secured a top-10 spot at Switzerland’s Quantitative Trading Contest. Powered by 73 self-developed trading strategies covering cryptocurrencies, forex and futures, it delivers an annualized return exceeding 367%, earning dual official accreditation from Europe’s Web4 and traditional financial sectors.
Seven Years of Technical Accumulation: Over a Decade of Industry Focus by Eddie Chong Drives AI Quant Upgrade
SFI’s full-stack AI quantitative system is no hasty follow-up product; it is the culmination of over ten years of industrial experience led personally by Eddie Chong, Chairman of SFI.
Back in 2014, Eddie Chong stepped into Bitcoin mining as one of the industry’s earliest pioneers. He navigated the historic 2017 crypto bull run and generated thousands-fold returns via three years of industrial deployment, accumulating profound market insights, mature risk management frameworks and massive historical market data from frontline operations.
Starting from 2017, Eddie led his team on systematic technological upgrading. Evolving from manual discretionary trading and conventional programmed quantitative models, the team spent seven years tackling core technical bottlenecks plaguing traditional quant solutions. The project achieved a landmark upgrade from rigid rule-based coded trading to self-learning, dynamically evolving AI-powered intelligent trading, culminating in the fully proprietary, independently controllable SFI AI Trading Bot ecosystem available today.
The bot now runs a portfolio of 73 exclusive in-house strategies, with primary exposure to blue-chip crypto assets including BTC and ETH. Centered on digital currencies and global forex trading while spanning diversified futures markets, it supports full-scenario trading covering cross-market hedging, arbitrage and trend-following strategies.
Unlike generic AI solutions built on third-party templates and off-the-shelf algorithms, every component of SFI’s quantitative framework — strategy logic and risk control architecture included — is developed in-house. Full proprietary IP rights and continuous iterative capability form its core competitive edge for sustained excess returns.
High Recognition from European Authoritative Circles with Official Institutional Endorsement
The Swiss exclusive quantitative summit brought together Europe’s top decision-makers, including core Ethereum team members, Hyperliquid management, risk control specialists from licensed Swiss banks and senior AI algorithm developers.
Industry authorities praised SFI’s AI trading system on three key fronts:
- Its fully automated AI trading logic and intelligent position rebalancing mechanism
- Innovative design of multi-strategy cross-market hedging architecture
- Compliant risk-control framework with native adaption for institutional banking requirements
Multiple institutions completed on-site commercial feasibility assessments, marking formal dual certification of SFI’s quantitative technology by both Europe’s digital asset community and legacy banking industry.
Exclusive Interview with Eddie Chong: AI Quant Enters a 3–5 Year Super Dividend Cycle
At the summit, SFI Chairman Eddie Chong shared exclusive insights with industry media on market cycles and core technical strengths.
Eddie noted the summit enabled his team to benchmark against world-class quant operators: a local Swiss 60-person quantitative team operates over 1,500 live strategies with exceptionally steady APY benchmarks, serving as a key reference for SFI’s future upgrades.
He outlined the fundamental divide between generations of quantitative technology:
“Traditional quant translates historical market experience into fixed codes for static execution; AI quant learns continuously from market changes and evolves autonomously, representing dynamic organic growth. This is the core distinction between two technological eras.”
On sector prospects, Eddie outlined a clear market timeline:
“AI quantitative adoption remains low globally, leaving a 3–5 year golden window for retail investors to earn outsized gains via AI trading tools. Once mainstream adoption arrives in three to five years, the sector will face fierce competition akin to the stock market, with abnormal returns gradually evaporating and ushering in an era of standardized mass investment.”
Strategic Upgrade: Boost In-house AI R&D and Open Global Ecosystem Collaboration
Validated by proprietary tech, years of live trading results and official European competition accreditation, SFI AI Trading Bot stands firmly as the group’s primary profit source.
SFI will ramp up R&D investment in the next development phase:
- Optimize stability and cross-market compatibility across all 73 proprietary AI strategies
- Further upgrade bank-standard risk management infrastructure
- Develop interconnected trading models spanning forex, futures and digital assets
In parallel, SFI will adopt an open cooperation stance to co-develop technology and launch joint businesses with global quant teams, European asset management firms and traditional banks, amplifying competitive advantages combining Web4 infrastructure and AI intelligent trading.
From Eddie’s entry into Bitcoin mining in 2014 to seven years of dedicated AI R&D and recent top-tier European contest accreditation, SFI is securing pivotal discourse power within the emerging global AI quantitative space through fully self-owned underlying technology.
Follow the SFI Ecosystem:
SFI: https://x.com/SFI_AI
Solulu Pay: https://x.com/SoluluPay
Caviar: https://x.com/shopcaviar
COPX DAO: https://x.com/Copx_DAO
