Systematic equities research and portfolio management
Hadron Capital runs the whole systematic process in one place: factors, signals, constrained optimisation and backtesting, with machine-learning scores as an option. Every number on a result can be traced to the rebalance that produced it.
| Ticker | Sector | Side | Weight | Notional |
|---|---|---|---|---|
| SNDK | Technology | Sell | 3.0% → 2.0% | $5,853 |
| TXT | Industrials | Buy | 4.4% → 5.1% | $3,964 |
| MRK | Health Care | Sell | 2.5% → 2.0% | $3,222 |
| AKAM | Technology | Sell | 2.6% → 2.1% | $2,986 |
Platform
Six stages, each feeding the next, and each inspectable on its own.
Index membership history by date, with a warning on any backtest whose universe is not point-in-time.
85+ cross-sectional factors computed nightly from prices and fundamentals.
18+ signals built from those factors, each weighted by its measured predictive power.
A gradient-boosted model, scored point-in-time. Blended into the signals only when a mandate gives it a weight.
Seven methods under sector, region and asset-class constraints.
Target weights turned into share-level orders with costs applied.
Capabilities
Every rebalance stores the positions before and after, each trade and its cost. Headline returns are reconciled against the audit trail on the page.
Factor exposures, historical and synthetic stress scenarios, regime-conditional performance and transaction-cost sensitivity for every run.
Which signals carried the result, and Brinson allocation, selection and interaction effects by sector at each rebalance.
A strategy is an investment policy: universe, risk tolerance, position limits and rebalance frequency. The optimiser reports when a mandate cannot be satisfied.
Promote a backtest and it is marked to market every trading day against its benchmark, with a rebalance blotter when weights drift.
Expert shows the full desk. Simple explains the same backtest in plain language for a reader who is not scanning for ratios.
Hadron Capital is created by Kingsley Emelideme, who worked on the ATLAS experiment at CERN's Large Hadron Collider before moving to quantitative equity research. The platform applies the same rule the experiment did: nothing is trusted until it has been checked against the data.
About the founderBook a walkthrough, or write to support@hadroncapital.ca. We usually reply within one business day.