Speed and reliability are the key criteria brokers consider when choosing a liquidity bridge.
In this article, we examine the main factors that determine bridge speed and review three of the fastest liquidity bridges in 2026: oneZero Liquidity Hub, PrimeXM XCore, and Takeprofit Bridge.
What Is a Fast Liquidity Bridge?
A fast liquidity bridge maintains low and predictable latency not only under normal conditions, but also as quote flow, order volume, the number of symbols, and connected liquidity sources increase.
Its performance depends on several factors:
- bridge architecture and how efficiently it processes prices, routing rules, and execution reports;
- the connectivity protocol, including FIX or a proprietary high-performance protocol;
- physical distance between the bridge, trading servers, liquidity providers, and execution venues;
- the number of connected liquidity sources and the volume of incoming quotes;
- the complexity of aggregation, pricing, routing, and risk-management rules;
- available processing power, memory, and overall resource management.
For this reason, bridge speed should be evaluated across several metrics and load scenarios rather than by a single advertised latency figure.
How Liquidity Bridge Speed Is Measured?
The following five parameters can be used as a basis for assessing bridge speed performance under different operating conditions.
Quote latency
Quote latency measures how long it takes a price update to pass through the bridge and reach a connected taker. It should be assessed across several percentiles, including p50, p75, p90, and p99, rather than by the minimum result alone.
Order latency
Order latency measures how long the bridge takes to process an A-Book or B-Book order and return the execution result. In A-Book scenarios, the figure may also reflect the response path to and from the execution destination.
Throughput
Throughput shows how many quotes or orders the bridge can process per second. Relevant metrics include delivered quotes per second, peak quote throughput, and processed orders per second.
Tail latency
Tail latency is represented by higher percentiles such as p90 and p99. These figures show how slower messages behave and help identify occasional delays that may not be visible in the median result.
Performance under load
Bridge performance should also be tested as the number of connected takers, liquidity sources, symbols, quote updates, and simultaneous orders increases.
A low-latency result in a small configuration does not necessarily mean that the bridge will maintain the same performance at a larger scale.
Which Liquidity Bridges Are the Fastest?
Hardware, connection distance, liquidity setup, symbols, message formats, and testing methodology differ between vendors. A latency figure published by one provider cannot be directly compared with another unless both systems are tested in the same environment.
Nevertheless, some of the best-known providers of low-latency liquidity bridge and aggregation technology are:
- oneZero
- PrimeXM
- Takeprofit Tech
oneZero Liquidity Hub
oneZero provides Hub infrastructure for retail brokers, institutional brokers, banks, and liquidity providers.
The company describes its technology as a highly parallel architecture optimized for low latency, high throughput, scalability, and stability. Its systems manage tens of millions of trades daily across hundreds of clients.
oneZero is widely used in complex institutional and retail liquidity environments where brokers need advanced aggregation, routing, analytics, and risk-management capabilities.
PrimeXM XCore
PrimeXM XCore is another established liquidity aggregation and execution solution used by retail and institutional brokers.
It is designed to connect trading platforms with liquidity providers and support high-volume pricing and execution flows. XCore is commonly considered alongside oneZero and Takeprofit Bridge when brokers evaluate low-latency liquidity infrastructure.
Takeprofit Bridge
Takeprofit Bridge is a liquidity aggregation, order-execution, and risk-management solution for retail and institutional brokers.
It works with MT4, MT5, cTrader, DXtrade, and TradeLocker and any custom trading platform. Takeprofit Bridge can be integrated with any liquidity provider.
Why Takeprofit Bridge Is One of the Fastest Bridges?
Takeprofit Bridge uses TakeprofitUltra, a proprietary high-performance protocol designed to reduce message-processing overhead and increase quote and order throughput. Its architecture is built to handle large quote flows, multiple connected takers, and complex execution environments with low and predictable latency.
These capabilities make Takeprofit Bridge one of the market leaders in liquidity bridge performance, as demonstrated by the benchmark results below.
Takeprofit Bridge latency and throughput benchmark
The benchmark was conducted under the following conditions:
- Test infrastructure: Intel Core i7-10700K, 8 physical cores, 16 logical processors, and 32 GB of RAM.
- Test configuration: 10 connected takers, 100 symbols, and 10 liquidity sources.
- Quote delivery test: 60-second test runs following a 15-second warm-up period.
- A-Book order test: Closed-loop testing with eight simultaneous orders in flight.
- Test methodology: Quote delivery and A-Book order processing were measured separately within the same configuration.
| Speed characteristic | Takeprofit Bridge benchmark result |
|---|---|
| Quote latency | Minimum: 0.027 ms 50% of quotes delivered within: 0.123 ms 75% of quotes delivered within: 0.156 ms 90% of quotes delivered within: 0.215 ms 99% of quotes delivered within: 1.080 ms |
| Order latency | Minimum: 0.331 ms 50% of A-Book orders processed within: 2.327 ms 75% of A-Book orders processed within: 3.235 ms 90% of A-Book orders processed within: 4.390 ms 99% of A-Book orders processed within: 12.147 ms |
| Throughput | Paced quote throughput: 1,479,360 quotes per second Peak quote throughput: 2,117,554 quotes per second A-Book order throughput: 22,298 orders per second |
| Tail latency | Quote delivery: 90% of quotes were delivered within: 0.215 ms 99% within: 1.080 ms A-Book order delivery: 90% of orders were processed within: 4.390 ms 99% within: 12.147 ms What it shows: the gap between p90 and p99 indicates how much latency increased for the slowest part of the message flow. |
Quote delivery performance under load
The table shows how Takeprofit Bridge handled quote delivery as the number of connected takers, symbols, and liquidity sources increased. It compares the complete latency distribution and quote throughput at each load level.
| Test configuration | Minimum | Median | 75% within | 90% within | 99% within | Paced throughput | Peak throughput |
|---|---|---|---|---|---|---|---|
| 10 takers, 100 symbols, 10 LPs | 0.027 ms | 0.123 ms | 0.156 ms | 0.215 ms | 1.080 ms | 1,479,360 quotes/s | 2,117,554 quotes/s |
| 100 takers, 1,000 symbols, 100 LPs | 0.030 ms | 0.308 ms | 0.579 ms | 1.447 ms | 7.218 ms | 1,421,385 quotes/s | 1,983,775 quotes/s |
| 200 takers, 10,000 symbols, 200 LPs | 0.023 ms | 0.070 ms | 0.088 ms | 0.116 ms | 7.698 ms | 307,693 quotes/s | 510,771 quotes/s |
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Why These Results Matter to Brokers?
Retail brokers do not continuously distribute two million quotes per second. The practical value of this capacity is the available performance headroom.
Traffic can rise sharply when:
- markets become volatile;
- several liquidity providers update prices at once;
- the broker distributes separate price streams to multiple clients;
- more platforms and symbols are added;
- institutional takers generate heavier quote demand.
If the bridge is already operating close to its maximum capacity, quote queues and processing delays may begin to form.
Higher throughput allows the infrastructure to absorb these spikes while maintaining lower and more predictable latency.
How to Choose the Fastest Bridge for a Brokerage?
Published performance figures are useful, but the fastest bridge for one broker may not be the fastest for another.
The final result depends on the entire infrastructure:
- location of the bridge and trading servers;
- proximity to liquidity providers;
- number of price sources;
- number of symbols and clients;
- aggregation model;
- routing and risk-management logic;
- FIX engine and protocol implementation;
- hardware capacity;
- market conditions.
For this reason, brokers should evaluate bridge performance in a test environment that resembles their production setup.
A useful bridge test should measure:
- median, p90, and p99 latency;
- quote and order throughput;
- behavior during quote bursts;
- performance with the broker’s real LP connections;
- stability during provider disconnections;
- resource usage as the load increases.