Equities market making.
Algorithmic market-making on listed equities in East Africa: continuous buy and sell quotes, starting with the Dar es Salaam Stock Exchange, with an active pilot programme underway with the Nairobi Securities Exchange.
Shabba builds dedicated algorithmic market-making for Tanzania's primary exchange. The engine is designed to provide continuous, two-sided quotes on DSE counters, with institutional-grade pre-trade checks, automated risk controls, and online machine-learning inventory management running underneath. The same engine is designed to extend into Kenya, where we are in an active pilot programme with the NSE.
The deeper product narrative will live on this page over time. For more on the markets we focus on, the Markets section has the fuller picture.
Why spreads compress when we quote.
On a counter without a dedicated market maker, the spread is whatever the last resting orders happen to be. Wide, stale, and expensive: a hidden tax paid on every trade, by every investor.
A continuous two-sided quote changes the structure of the market itself. Investors trade when they choose to, not when the other side happens to show up. Tighter spreads follow from better inventory management and faster repricing, and every basis point saved compounds across the whole market.
This is the case we make in every market we work in: liquidity is infrastructure, and it should be engineered like infrastructure.
What is a market maker? →
Continuous two-sided quotes: the operating reality of cash equity liquidity.
