AMTS Solutions Soft for forex brokers

How to Test VWAP Calculations Across Multiple Price Levels for Brokerage Operations

2026-11-13

Ensuring the accuracy of VWAP calculations across multiple price levels is crucial for brokerage operations. This article explores methodologies for testing VWAP, including historical data analysis and simulated environments, and discusses key considerations for brokers regarding data, liquidity aggregation, and risk management.

Floating Leverage: Common Implementation Mistakes for Brokers

2026-11-13

Floating leverage is a critical risk management tool, but brokers often make mistakes in its implementation. Learn about common errors like miscalculating leverage based on deposit size, inadequate tiered structures, and poor system integration, and how to avoid them for better risk control and client satisfaction.

Data Governance Requirements for Introducing AI into a Brokerage

2026-11-12

Before integrating AI, brokerages must establish robust data governance. This ensures data quality, security, and compliance, which are crucial for AI model accuracy, reliable performance, and effective risk management in financial operations.

Handling Order Rejects: Retry Rules and Client Communication for Brokers

2026-11-12

Order rejects are a reality in financial markets. For brokers, implementing intelligent retry rules and clear client communication strategies is crucial for maintaining execution quality, operational efficiency, and client satisfaction. This approach minimizes the impact of rejects, enhances trust, and builds loyalty.

Audit Logging for Brokerage Administration and Trading Integrations

2026-11-11

Audit logging is vital for brokerage administration and trading integrations, providing an immutable record of system events. It ensures transparency, accountability, and traceability, crucial for regulatory compliance, dispute resolution, security, and operational efficiency in financial market operations.

Dealing Desk Automation: Which Decisions Should Be Rule-Based?

2026-11-11

Dealing desk automation is crucial for modern brokers, but not all decisions are suited for it. This article explores which dealing desk decisions can be reliably governed by predefined rules and which require human intervention or oversight, focusing on execution, risk management, and client segmentation.

Forex Broker Technology Costs: Fixed, Variable, and Hidden Components

2026-11-10

For Forex brokers, technology costs extend beyond initial setup. This article details fixed, variable, and hidden expenses associated with brokerage technology, from platforms and liquidity to cybersecurity and operational inefficiencies. Understanding these components is key for financial planning and sustained profitability.

Intelligent Order Routing: Managing Differing Quote Quality Between Liquidity Providers

2026-11-10

Discover how brokers can effectively route orders when quote quality differs between liquidity providers. This article explores strategies like provider priorities, dynamic markups, intelligent rejection handling, and volume splitting to optimize execution and enhance client satisfaction.

Designing Robust Risk Controls for a Hybrid A-Book/B-Book Setup

2026-11-09

Explore the essential elements of designing robust risk controls for a hybrid A-Book/B-Book brokerage setup. This article covers dynamic client segmentation, advanced hedging mechanisms, real-time monitoring, and key operational considerations to manage risk effectively while maintaining fair client trading conditions.

Exchange Technology Infrastructure: Core Components Explained

2026-11-09

This article explains the core components of exchange technology infrastructure, detailing the functions of matching engines, order management systems, market data systems, connectivity, risk management, and back-office operations. It highlights their importance for efficient, reliable, and scalable brokerage operations.

Common Pitfalls When Comparing Depth Across Liquidity Providers

2026-11-08

Comparing liquidity depth across providers is complex. Brokers often misinterpret raw data, ignore execution quality, or overlook hidden costs. Understanding these pitfalls and leveraging advanced aggregation technology is crucial for optimal execution and risk management.

Capacity Planning for Forex Trading Systems: What to Measure

2026-11-08

Effective capacity planning is crucial for Forex brokerages to ensure reliable operations and handle growth. This article details key metrics for assessing your trading system's capacity, including transactional load, network performance, system resources, and risk management efficiency.

How Partial Hedging Changes Exposure and Liquidity Requirements for Brokers

2026-11-07

Partial hedging offers financial market brokers a flexible strategy to manage market exposure and liquidity. By offloading only a portion of aggregated client exposure, brokers can balance risk retention with risk transfer, optimizing capital efficiency and reducing liquidity costs compared to full hedging or pure B-book models.

Choosing a Forex White Label: Key Questions on Integration and Control

2026-11-07

Choosing a Forex White Label setup involves critical questions regarding integration and control. Brokers must evaluate the degree of operational independence, how liquidity and execution are managed, and the customization options available to ensure the solution aligns with their business goals and risk management needs.

Quote Filtering Rules That Can Introduce Unintended Execution Delays

2026-11-06

Quote filtering is vital for brokers to ensure price integrity, but some rules can inadvertently cause execution delays. Overly aggressive spread filtering, strict stale price detection, and price jump filters can lead to rejections, requotes, and missed trading opportunities for clients. Balancing protection with execution speed is crucial for operational efficiency and client satisfaction.

How Trading Experience and Platform Reliability Affect Broker Client Retention

2026-11-06

Client retention is vital for broker success. This article explores how a trading platform's reliability and the overall client experience directly influence whether traders remain loyal. It delves into the importance of stable execution, system uptime, data security, and transparent trading conditions for fostering client trust and reducing churn.

Matching Engine Performance: Throughput, Latency, and Fairness in Trading Systems

2026-11-05

Matching engine performance is critical for financial market brokers. Key metrics include throughput (orders processed per second), latency (execution speed), and fairness (equitable order treatment). These factors directly affect execution quality, liquidity, risk management, and client trust, making their optimization essential for a competitive trading environment.

Testing Institutional FX Connectivity Under Realistic Load

2026-11-05

Discover the critical importance of testing institutional FX connectivity under realistic load conditions. This article details why brokers must conduct such tests to validate performance, identify latency, assess scalability, mitigate risk, and optimize configurations for robust trading operations.

Trading Infrastructure Reliability: Identifying Single Points of Failure for Brokers

2026-11-04

Single Points of Failure (SPOFs) are critical vulnerabilities in trading infrastructure that can lead to system outages. This article explains how to identify hardware, software, and operational SPOFs within a brokerage system and outlines strategies for mitigation through redundancy, fault tolerance, and robust practices to ensure continuous operation and enhance reliability.

Ensuring Data Quality for Broker Trading Analytics