Systematic tradingLondonEst. 2022

We trade our own capital systematically and provide the same systems to clients.

ASYM Capital is a proprietary trading firm and Quantitative-as-a-Service (QaaS) provider, working across equity, derivatives and fixed income markets.

Fig. 1 Illustrative distribution. Not performance data.

Key figures

Asset classes
Equity, derivatives, fixed income
3
Signals in production
60+
Execution latency
240µs
Sharpe ratio
1.871

1 Past performance is not indicative of future results.

About

We look for positions where the potential upside is materially larger than the downside.

Our research measures that asymmetry, and our execution systems are built to keep it after trading costs.

ASYM Capital is registered under DERIVQ LIMITED (CRN 09852527).

Proprietary trading

We trade our own capital on end-to-end systematic infrastructure, from signal research and portfolio construction through to live order execution and risk control.

Quantitative-as-a-Service

The systems that trade our own book are the ones we deploy for clients, at any portfolio size. QaaS is available to institutions, family offices, funds and high-net-worth investors.

Services

Six services, built on the systems we run on our own capital.

Systematic trading strategies

Algorithmic trading systems across equity, derivatives and fixed income, covering signal generation, portfolio construction, risk management and live order execution.

Enquire about systematic trading strategies

Algorithmic execution

Low-latency TWAP, VWAP and adaptive execution algorithms connected directly to broker APIs, with market-impact and transaction-cost modelling.

Enquire about algorithmic execution

Backtesting infrastructure

Event-driven backtesting on multi-year tick-level data, with slippage and commission modelling and the standard measures: Sharpe, Sortino, Calmar and maximum drawdown.

Enquire about backtesting infrastructure

Market signal intelligence

Regime detection with hidden Markov models, momentum and mean-reversion signals, and cross-sectional volatility analytics across 60+ equities, delivered before the market opens.

Enquire about market signal intelligence

Portfolio risk management

Real-time risk monitoring, Greeks exposure management and systematic hedging, with multi-factor risk decomposition, live stress testing and scenario analysis across positions.

Enquire about portfolio risk management

Philosophy

The first question we ask of any model or position is whether the distribution of outcomes is skewed in our favour.

When the data shows directional skew, we do not force the portfolio back into balance. We stress-test the tails as well as the mean, and we model transaction costs so that execution does not give back what the signal found.

Fig. 2 Conceptual payoff. Not performance data.

Technology

From market data to live execution

Every strategy moves through the same four stages, with risk controls built into each one.

  1. Data

    Multi-year tick-level history across all three asset classes, stored so that every result can be reproduced.

    Granularity
    Tick-level
    History
    Multi-year
    Asset classes
    Equity, derivatives, fixed income
    Equity universe
    60+ names
    Storage
    Time-series database
    Reproducibility
    Every backtest re-runnable
  2. Research and signals

    Multi-factor signal generation and portfolio construction, with models that adapt to the market regime.

    Signals in production
    60+
    Signal families
    Momentum, mean reversion, cross-sectional volatility
    Regime detection
    Hidden Markov models
    Factor models
    Multi-factor, with exposure reporting
    Derivatives pricing
    QuantLib
    Research language
    Python
  3. Backtesting

    Event-driven simulation on tick data with realistic costs. No strategy reaches capital before it passes statistical validation.

    Engine
    Event-driven
    Data
    Tick-level, multi-year
    Cost modelling
    Slippage and commission
    Performance metrics
    Sharpe, Sortino, Calmar, maximum drawdown
    Scope
    Multi-factor, multi-asset
    Gate to capital
    Statistical validation
  4. Execution

    A low-latency order-routing core connected to brokers over FIX, running TWAP, VWAP and adaptive algorithms.

    Execution latency
    240µs
    Order routing
    C / C++ core, sub-millisecond
    Connectivity
    FIX protocol, broker APIs
    Algorithms
    TWAP, VWAP, adaptive
    Cost model
    Market impact and transaction costs
    Markets
    NASDAQ, NYSE, CME, LSE

Risk, at every stage

Built into the pipeline from the start, not added after the fact.

  • Real-time exposure monitoring
  • Portfolio Greeks
  • Multi-factor risk decomposition
  • Live stress testing
  • Scenario analysis
  • Systematic hedging

Contact

Enquiries from institutions, family offices, funds and high-net-worth investors.

Office
53 Kilby Court, Southern Way
London SE10 0PR, United Kingdom
Legal entity
DERIVQ LIMITED (CRN 09852527)
Markets
NASDAQ · NYSE · CME · LSE
Founded
2022

To get in touch, email contact@asymcapital.uk or call +44 7743 262560.

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