FiduVentures runs a small, focused group of businesses. The equity-trading arm of the company is IMG Trading Systems. Beyond that we operate a small portfolio of applied-AI ventures. One company. One standard. Different disciplines, run with the same seriousness.
After more than fifteen years in equity research and conversations with hundreds of global investors, we settled on something specific: the typical asset-management playbook no longer earns the alpha it claims to. The data on this is unambiguous and global — roughly 85% of active large-cap funds underperform their benchmark over ten years.
IMG Trading Systems exists to operate differently. The goal is absolute returns in any market condition. We pursue it through three deliberate departures from how the rest of the industry trades. Less human decision-making and more algorithmic. At least 70% of positions closed the same session. And a process that enters on technical triggers first, then evaluates — instead of waiting for the consensus call and entering after the move.
S&P Dow Jones Indices has tracked the share of active funds that fall behind their benchmark for over two decades — the SPIVA scorecard. The headline is consistent across geographies and categories: most active funds lose to the index net of fees, and the gap widens with time.
The full thesis is on the IMG Trading Systems page. In short: we trade the most liquid names in each market, with a rules-based system that runs on three principles the rest of the industry has been slow to adopt.
Screens and signal validation run in code. Human judgement runs validation and risk, not moment-of-entry discretion. Humans are emotional under drawdown. Algorithms aren't.
≥70% of positions are opened and closed within the same session. Overnight exposure is opt-in, not default — and only when the trigger is intact and the risk is sized for it.
Most fundamental managers enter after the move. We enter on technical triggers first, then evaluate whether a position should be carried overnight. Timing matters more than catching the bottom.
The same company runs a small portfolio of applied-AI ventures — software and hardware products where AI does the heavy lifting in the background. EdTech, consumer tools, and select smart-hardware projects. The studio is run as an internal venture arm, not as a separate business unit.
We read everything. If you're an institutional allocator, a strategic partner, a founder whose venture fits the studio, or a technologist whose work crosses ours — start with a short message describing what you're working on and what you need.