London-based InvroMining, a technology and digital asset platform founded in 2016, has announced a major expansion of its AI-driven quant infrastructure. The upgrade is designed to make quantitative digital asset participation—once the domain of hedge funds and PhDs—more accessible to a wider global audience.
The new release integrates systematic strategy execution, real-time monitoring, and developer-ready SDKs, providing a scalable bridge between complex quant systems and everyday users.
AI-Powered Systematic Trading
At its core, InvroMining applies machine learning to spot trading signals, execute positions, and rebalance portfolios—functions typically reserved for institutional quants. The platform automates workflows while maintaining transparency, allowing both individual and institutional participants to engage in structured, rules-based strategies.
CEO Vladimir Jedla frames it simply: “InvroMining was created to bridge the gap between complex quant systems and everyday users. Our focus is on delivering infrastructure that ensures security, sustainability, and structured income opportunities.”
Lowering Barriers to Entry
For retail traders, the pitch is straightforward: structured AI quant strategies without building models from scratch. For institutions, InvroMining offers a ready-made quant infrastructure with open-source SDK access for customization. This hybrid approach positions the platform as an on-ramp for users who want both accessibility and sophistication.
Cross-platform access via web and mobile apps ensures traders can monitor portfolios in real time, while automated execution reduces manual overhead.
Sustainability at Scale
InvroMining also highlights its commitment to sustainable growth. With 135 renewable-powered data facilities worldwide, the company aligns its infrastructure expansion with carbon-neutral operations—a growing concern for digital asset platforms under scrutiny for energy use.
What’s Next on the Roadmap
The company’s upcoming roadmap points to deeper market integration and user governance:
- Derivatives & Futures Support: Expanding the AI Quant Suite to cover a broader range of instruments.
- Geographic Expansion: Localized onboarding in Asia-Pacific and Latin America.
- Community Governance: Features allowing users to help shape new strategy modules.
Market Context
InvroMining enters a competitive but fast-evolving field where AI-driven quant platforms like Numerai, QuantConnect, and Tradeteq are already gaining traction. What differentiates InvroMining is its focus on sustainability and accessibility—aiming to make quant-grade participation possible without specialized coding or costly infrastructure.
If successful, the platform could appeal to both small-scale traders seeking passive income streams and larger players looking to plug into AI-native strategies without building everything in-house.
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