CORE SERVICES
Forex Turnkey Solution
End-to-end brokerage launch package
Regulatory Licensing
SCA, FCA, CySEC & global licensing
Trading Platforms
MT4, MT5 & proprietary platforms
Liquidity Solution
Top-tier multi-LP aggregation
Risk Management
Real-time exposure monitoring
TRADING TECHNOLOGY
Quantitative Strategy
Alpha research & systematic models
MT5 Manager API
Full broker-side MT5 management API
Automated Strategies
Algo execution & HFT infrastructure
Signals Application
Live forex, metals & indices signals
Our Story
The journey behind Algoment
Our Philosophy
Principles that guide every decision
Our Process
How we deliver from brief to launch
Our Partners
Technology partners we trust
Quantitative Strategy.
Edge Built on Data.
Algoment develops systematic trading strategies powered by statistical research and machine learning — from alpha discovery and backtesting to live deployment across FX, metals, indices, and crypto markets.
Our Capabilities
Systematic Trading
From Research to Live Markets
Statistical Modelling
Time-series analysis, cointegration, mean-reversion, and momentum factor research across FX, equities, commodities, and crypto markets.
Statistical Modelling
Time-series analysis, cointegration, mean-reversion, and momentum factor research across FX, equities, commodities, and crypto markets.
Machine Learning Strategies
Supervised and unsupervised ML models — gradient boosting, LSTM neural networks, and reinforcement learning agents trained on decades of tick data.
Machine Learning Strategies
Supervised and unsupervised ML models — gradient boosting, LSTM neural networks, and reinforcement learning agents trained on decades of tick data.
Alpha Research
Systematic screening of 1,000+ factor combinations across multiple asset classes to isolate statistically robust and economically intuitive alpha signals.
Alpha Research
Systematic screening of 1,000+ factor combinations across multiple asset classes to isolate statistically robust and economically intuitive alpha signals.
Strategy Engineering
Full pipeline from signal generation to live execution — position sizing, portfolio construction, risk budgeting, and transaction cost analysis.
Strategy Engineering
Full pipeline from signal generation to live execution — position sizing, portfolio construction, risk budgeting, and transaction cost analysis.
Backtesting Framework
Event-driven backtesting with tick-level data, realistic slippage models, commission simulation, and walk-forward validation to prevent overfitting.
Backtesting Framework
Event-driven backtesting with tick-level data, realistic slippage models, commission simulation, and walk-forward validation to prevent overfitting.
Live Deployment
Deployment to live trading infrastructure — co-located execution, FIX API connectivity, real-time P&L monitoring, and automatic position limit enforcement.
Live Deployment
Deployment to live trading infrastructure — co-located execution, FIX API connectivity, real-time P&L monitoring, and automatic position limit enforcement.
Research Process
From Hypothesis to Live Alpha
Research & Hypothesis
We start with a clear economic rationale — identifying market inefficiencies, behavioural biases, or structural patterns that generate consistent edge.
Data & Feature Engineering
Historical tick data, alternative data sets, and derived features are cleaned, normalised, and structured for model training and signal generation.
Model Development & Testing
Strategies are built, backtested with rigorous out-of-sample validation, stress-tested across regimes, and analysed for risk-adjusted performance metrics.
Live Deployment & Monitoring
Paper trading phase followed by live deployment with real-time performance dashboards, drawdown alerts, and scheduled regime review cycles.
FAQ
Frequently Asked
Questions
Ready to Build a
Quantitative Edge?
Talk to our quant research team to explore how systematic strategies can be developed, tested, and deployed for your objectives.