Advanced Algorithms For Digital Assets
ABEX specialises in advanced algorithms for digital assets, powered by machine learning and an ultra-low-latency, high-frequency trading engine. ABEX upholds the highest regulatory standards from day one and aims to increase transparency in crypto markets through Transaction Cost Analysis.
ABEX Core DNA
High Frequency
Our trading engine, built in C++ for ultra-low-latency, high-frequency, and highly secure infrastructure, matches the performance of leading market makers, levelling the playing field for clients trading digital assets.
Quantitative Research
A team of PhD professionals with decades of experience in traditional finance, specialising in signal processing and order book optimisation. Algorithms built with a continuous focus on enhancing precise order placement and increasing execution efficiency.
Machine Learning
A continuous feedback loop, trained on proprietary anonymised execution data, enables adaptive decision-making to enhance execution performance in response to evolving market structure and conditions.
Transparency
ABEX's transparent TCA and reporting tools allow clients to make better and fully informed trading decisions.
Ultra Low Latency
Market participants often miss out on the best prices due to the speed advantage of faster players.
Who Can Benefit
Clients - reduce execution costs, increase passive fill rates, minimise market impact, and automate execution schedules in alignment with trading objectives.
Buy Side
Hedge Funds
Asset Managers
Quant Funds
Sell Side
OTC Desks
Brokers
Partnerships - provide sophisticated algorithms for your client to increase engagement and boost trading volume.
Custodians
Exchanges
Prime Brokers
ECNs
Platforms (OMS/EMS)
Efficient Solutions for Your Needs
Solves Complexity
Crypto liquidity is highly fragmented across centralized exchanges, ECNs, market makers, OTC desks, and DeFi protocols, providing huge opportunity to improve execution through a research driven approach.
Our team's expertise in quantitative modeling, developed at leading investment banks and hedge funds, ensures a systematic, data-driven solution.
Integrate Advanced Algorithms
We refine every element of execution to align with the unique market structure of each instrument—encompassing trade planning, short-term price forecasting, order execution, and routing.
Every action taken by our algorithms, whether placing or canceling orders, is guided by a robust quantitative framework that has been extensively backtested and fine-tuned through thousands of simulations.
Macro Strategies
These are user-based choices that establish the overarching schedule for the parent order. By considering various market parameters such as spread, volatility, and momentum, and evaluating the order's progress relative to its target, macro strategies determine the objectives for each child order.
Micro Strategies
Leveraging our ultra-low latency and high-frequency trading engine, these algorithms are designed to optimise execution cost at the child order level. They protect users from trading at unfavourable price levels while swiftly capitalising on market opportunities.
Agency Best Executions
ABEX operates as an impartial, non-discriminatory, single-instance, programmatic agent, ensuring unbiased trading and delivering institutional-grade, electronic, best execution services. Registered with the FCA as a cryptoasset business and with additional regulatory approvals pending in the EU and Asia, ABEX charges a transparent fee, based on executed volume.
One of the few entities registered with the FCA to execute crypto in the UK.
Seeking regulatory approval in EU, MENA and APAC regions
TCA + Machine Learning
Our proprietary Transaction Cost Analysis (TCA) delivers high-quality, unique execution data, continuously refining our algorithms for enhanced performance. The more clients trade through ABEX, the smarter and more effective our algorithms become.
Flywheel of feeding right data into our ML engine to improve algorithms
TCA allows us to highlight critical data from historical execution
Proprietary data
Quantitative Research
The algorithms are rooted in quantitative research, leveraging a machine learning-based framework for ongoing refinement. The system incorporates a feedback loop optimising performance and outcomes.
Veteran team with decades of TradFi experience in signal research
Significant improvement in execution quality
We research signals for optimal order placement
Let's Get in Touch
