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
Technology Built for
Institutional Performance
A deep look at the platforms, AI systems, infrastructure, and data architecture that power every brokerage Algoment builds and operates.
Four layers. One ecosystem.
Algoment's technology stack is organised into four interconnected layers — each one mission-critical to brokerage performance.
Multi-Platform Trading Engines
We are authorised technology partners for the world's most widely adopted retail trading platforms — deployed, configured, and maintained at institutional grade.
MetaTrader 4
Full MT4 server + client setup, plugin development, bridge connections, and full admin panel configuration.
MetaTrader 5
MT5 multi-asset deployment with netting & hedging accounts, advanced reporting, and custom indicator integration.
cTrader
cTrader platform management including cBroker admin, cTrader Copy, and full API-driven customisation.
Prop Trading CRM
Custom-built prop trading challenge platforms with automated evaluation, payout logic, and trader dashboards.
Machine Intelligence Layer
Proprietary AI and quantitative systems that give Algoment-powered brokerages a decisive edge in risk management, execution quality, and market intelligence.
Quantitative Risk Engine
Real-time position monitoring, Greeks calculation, exposure aggregation, and dynamic hedging triggers.
ML Execution Optimiser
Machine learning models that optimise order routing based on historical fill quality, latency, and spread analysis.
Anomaly Detection
Behavioural analytics engine that flags toxic flow, arbitrage attempts, and manipulative trading patterns in real time.
Algorithmic Strategy Backtesting
Infrastructure for developing, testing, and deploying quantitative trading strategies with tick-level historical data.
Institutional-Grade Infrastructure
Every system we deploy runs on enterprise infrastructure engineered for zero-compromise reliability, speed, and security.
Equinix Co-Location
Servers housed in Equinix LD4 (London), NY4 (New York), and TY3 (Tokyo) for ultra-low latency to global liquidity.
Private Cloud & Bare Metal
Dedicated bare metal servers and private cloud tenancies — no shared infrastructure with other brokerages.
DDoS Protection
Multi-layer DDoS mitigation with always-on scrubbing centres and sub-second failover for platform continuity.
Global CDN
Content delivery network across 50+ PoPs for lightning-fast client portal and web trading performance worldwide.
Data & Integration Layer
Rich, real-time data pipelines and open API architecture that connects every system in your brokerage ecosystem.
Market Data Feeds
Real-time L1/L2 pricing from 15+ tier-1 liquidity providers via FIX protocol with normalised feed aggregation.
Liquidity Aggregation
Smart order routing and liquidity aggregation across multiple LPs with best-execution logic and spread optimisation.
REST & WebSocket APIs
Full REST and WebSocket API suite for platform data, account management, reporting, and third-party integrations.
CRM & PSP Integration
Native connectors for leading Forex CRMs (B2Core, FX Back Office) and payment service providers worldwide.
The complete brokerage stack
The Problem
Why Generic Technology
Fails Institutional Brokerages
Off-the-Shelf Platforms Don't Scale
Generic SaaS trading platforms hit performance ceilings as client volumes grow. Shared infrastructure means your brokerage competes for resources with dozens of others — leading to latency spikes exactly when markets move fastest.
Integration Debt Compounds Over Time
Piecemeal technology stacks — one vendor for CRM, another for risk, another for reporting — create integration debt that consumes engineering time, introduces bugs, and slows every future change.
Latency Kills Client Retention
Retail traders are acutely sensitive to execution quality. Even 50ms of unnecessary latency on order fills creates slippage complaints, negative reviews, and ultimately client churn to better-performing competitors.
Security Is Treated as a Feature, Not a Foundation
Many technology vendors retrofit security after the core product is built. This creates architectural vulnerabilities that are expensive to remediate — and in a regulated financial services context, potentially catastrophic.
Data Silos Block Risk Visibility
When trading data, client data, and risk data live in separate systems without real-time synchronisation, risk managers are always working with a lag — making proactive position management nearly impossible.
Customisation Requires Vendor Approval
Proprietary platforms from large vendors lock customisation behind release cycles, support queues, and licensing fees. Brokerages that need a specific indicator, bridge, or report are at the mercy of vendor roadmaps.
FAQ
Frequently Asked
Questions
Ready to build on institutional infrastructure?
Talk to our technical team about architecting the right stack for your brokerage — from MVP to full-scale multi-asset platform.
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