Building Africa's Quantitative Trading Infrastructure
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Evermount is building an Africa-focused quantitative trading and market-making technology company — combining quantitative research, machine learning, and high-performance trading infrastructure to help build more liquid, efficient African financial markets.
Top Movers
Sample data • Illustrative only
We Support Seamless Transactions Via:
The Infrastructure Behind Evermount
Quantitative
Research & Modeling
AI-Powered
Analytics & Insights
Systematic
Portfolio Construction
Institutional-Grade
Risk Management
Key Highlights
Power up your investing journey with Evermount's most valuable features.
Transparent Fee Structure
Clear management and performance fees aligned with investor interests.
Systematic Execution
Proprietary algorithms executing trades with precision and speed.
Multi-Asset Class Access
Diversified exposure across equities, fixed income, currencies, and commodities.
Real-Time Portfolio Analytics
Institutional-grade dashboards with comprehensive performance metrics.
Quarterly Performance Reports
Detailed attribution analysis and risk-adjusted return reporting.
Dedicated Relationship Management
Direct access to portfolio managers and research team.
Systematic Investment Excellence
Proprietary quantitative models with machine learning and statistical arbitrage
Institutional-grade risk management and portfolio optimization
Building toward continent-wide market access across African financial markets
Fund Highlights
- Management Fee: 1.5% - 2.5%
- Performance Fee: 20% of profits
- Minimum Investment: $10,000
- Quarterly Performance Reports
- 6 Month Lock-In Period
- USD + Multi-Currency Support
How We Manage Your Capital
Step 1 – Investor Onboarding
KYC verification, risk profiling, and investment mandate alignment.
Step 2 – Portfolio Allocation
Systematic allocation across quantitative strategies based on risk-return objectives.
Step 3 – Systematic Execution
Proprietary algorithms execute trades across global markets with precision.
Step 4 – Performance Monitoring
Real-time portfolio analytics and quarterly performance attribution reports.
Quantitative Trading Technology Built for Africa
Evermount is building an Africa-focused quantitative trading and market-making technology company. We combine quantitative research, machine learning, and statistical modeling to build systematic trading infrastructure for African financial markets.
Systematic Investment Philosophy
We believe African financial markets contain structural inefficiencies — around liquidity, market fragmentation, and electronic execution — that create room for systematic, technology-driven trading. Our approach removes human emotion and bias, focusing on superior data, advanced modeling, and execution engineering.
Proprietary Technology & Research Infrastructure
Our technology stack is built to process market data and identify systematic trading opportunities across African financial markets.
Quantitative Research & Modeling
Statistical models and machine learning algorithms applied to market data to identify systematic trading opportunities.
High-Performance Computing
High-performance infrastructure built to process market data and support systematic trading and risk management.
Systematic Risk Management
Multi-layered risk framework with real-time monitoring and automatic position adjustments to protect capital.
Institutional-Grade Infrastructure & Risk Controls
We're building our infrastructure to the highest standards of operational excellence, security, and risk management as we scale.
World-Class Research & Engineering Team
Experienced professionals combining expertise in quantitative finance, computer science, and engineering to drive innovation in systematic investing.
Daniel Mawioo
CEO, Co-Founder & Low-Latency Systems Engineer
Former quantitative researcher and portfolio manager with extensive experience in systematic trading strategies, factor investing, and risk management at leading hedge funds.
Evans Kipngetich
Chief Data Officer & Co-Founder
Expert in machine learning, alternative data, and large-scale data infrastructure. Previously led quantitative research teams developing predictive models for financial markets.
Tony K.
Head of Quantitative Research
PhD in Financial Engineering with deep expertise in stochastic modeling, statistical arbitrage, and portfolio optimization. Published researcher in quantitative finance.
Bonface Kuria
Head of Security & Infrastructure
Cybersecurity and network engineering specialist with deep expertise in network security, Linux systems, and DevOps. CCNP and CCSA certified.
John Esther
Senior AI Engineer
Senior AI engineer specializing in agentic AI systems, retrieval-augmented generation, and production-grade machine learning infrastructure.
Starting With African Markets
We're starting with African financial markets — building toward a continent-wide electronic trading network, with the long-term ambition of connecting African markets to global trading infrastructure.
Today
African Markets
Research & Infrastructure
Next
Systematic Trading
Selected African Markets
Vision
Market Making
Continent-Wide
Long-Term
Global Connectivity
Africa ↔ Global Markets
The Technology Behind Evermount
Evermount combines quantitative research, AI-driven analytics, and automated execution to build systematic investment infrastructure.
Quantitative
Research Engine
Systematic strategy research and backtesting infrastructure
AI-Powered
Analytics
Machine learning models for market and portfolio analysis
Institutional-Grade
Risk Management
Built-in risk controls and portfolio monitoring
Automated
Execution Infrastructure
Systematic, rules-based trade execution