
Continuous, algorithmic liquidity across the asset classes the DSE supports, starting with equity counters, with scope to extend into bonds and other listed products as the venue itself does.
Built for the Dar es Salaam Stock Exchange
Equity turnover on the DSE nearly tripled in 2025, to TZS 664 billion, and the first half of 2026 (about TZS 1.07 trillion) already exceeded the whole of 2025. New issuances, more retail participation, deeper institutional engagement: the signals of a market that has the demand for proper infrastructure.
What it hasn’t had is a dedicated algorithmic market maker. Wide spreads function as a tax on every trade. Investors who want to buy overpay; investors who want to sell underprice. Institutional participants avoid thin counters entirely, which feeds the problem. Illiquidity reinforces itself.
What Shabba offers the DSE is straightforward: continuous, two-sided quotes that compress spreads, deepen books, and make price discovery something traders can rely on. The technology is built to do that seriously.
The DSE has not had a dedicated algorithmic market maker, and Shabba is built to be one. Before continuous quoting, the spread on a DSE counter is whatever the last resting orders happen to be: wide, stale, and expensive for everyone who trades.
Our quotes are designed to sit in the DSE order book itself, refreshed as conditions move. The aim is a price to buy and a price to sell on the counters we cover, sized to be genuinely tradable, session after session.
Every book we build for Dar es Salaam is quoted natively in Tanzanian shillings, tuned to DSE tick structure, session times, and the trading rhythms of the counters themselves. Nothing here is a generic engine pointed at a new feed.

Dar es Salaam: where the thesis went live first.
Algorithmic liquidity provision designed for the DSE’s listed counters. Tighter spreads, deeper books, more reliable execution for institutional and retail flow alike.
Designed to work inside the framework set by the Capital Markets and Securities Authority and the rules of the Dar es Salaam Stock Exchange.
Built-in from day one: pre-trade checks, position limits, inventory management, automated kill-switches. Designed for durability, not just performance.
Machine-learning driven inventory adjustment. The book adapts to flow, regime, and counterparty composition in real time rather than on a fixed schedule.
Growth in 2025, to TZS 664 billion from TZS 229 billion in 2024
Capital Markets and Securities Authority of Tanzania
Dar es Salaam Stock Exchange, Tanzania’s primary exchange