Quantitative

Systematic Research & Model-Driven Trading

Trading Capital
for Quantitative Research

Bring a testable hypothesis, robust research and a repeatable execution process. We welcome quantitative traders and teams who can explain their models, evidence and live trading risks.

Core markets

5

Decision process

Systematic

Risk review

Data-led

Test the Hypothesis.Validate the Evidence.

We review the economic rationale behind a signal, the integrity of its data and how results hold up outside the research sample. Costs, market impact and live implementation matter alongside backtests. The chart is illustrative, not FYFX performance.

Illustrative template data, normalised to an index. Not FYFX results or a forecast.

116.9 index

Illustrative only

95.0100.0105.0110.0115.0120.0Jan 23Jan 24Dec 24Nov 25Oct 261355 daily observations in the selected range.

Quantitative Trading

From Research to Live Execution.

We welcome quantitative traders and research teams developing systematic strategies across our core markets. Explain the hypothesis, data, validation process and the conditions in which the model may fail.

Research, simulated trading and live results are evaluated separately. Any allocation, infrastructure requirements, risk limits and commercial terms require individual review and written agreement.

Focus

Systematic signals and model-driven strategies

Markets

FX, crypto, stocks, CFDs, options

Evidence

Research, simulation and live results separated

Execution

Costs, market impact and implementation

Risk

Model risk, drawdowns and stress scenarios

Capacity

Liquidity, turnover and scalability

Validation

Out-of-sample testing and bias controls

Team

Independent researchers and quantitative teams

Monitoring

Signal behaviour, exposure and model changes

Commercial terms

Subject to review and written agreement

Operational needs

Data, compute and execution dependencies

A Testable Hypothesis. A Robust Research Process.

An explainable signal

Explain the market behaviour behind the signal and why it may persist.

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Research integrity

Show data provenance, bias controls and out-of-sample validation alongside the original hypothesis.

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Realistic execution

Include spreads, fees, slippage, market impact and execution constraints in the evidence.

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Model risk

Evaluate parameter sensitivity, regime shifts, leverage and adverse scenarios.

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Capacity and interaction

Assess turnover, liquidity, correlated signals and how added capital could affect implementation.

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Controlled changes

Document model versions, live monitoring, retraining criteria and when to pause a strategy.

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Quantitative Approaches

Signals With a Research Foundation.

We consider different systematic approaches on the strength of their rationale, validation and implementability. Explain the data and assumptions behind each model, including where the evidence is uncertain.

Trend & Momentum

Rules-based responses to persistent price moves, with turnover and regime sensitivity assessed.

Statistical Models

Statistical signals grounded in testable hypotheses, robust data and validation beyond the training sample.

Systematic Relative Value

Models of relationships between instruments, with residual exposures, costs and convergence risk measured.

Research & Live Evidence

Measure What Survives Implementation.

Compare research assumptions with live signal behaviour, realised costs, exposures and drawdown. Understand where implementation diverges from the model and how those changes are monitored. Charts are illustrative and retained third-party imagery does not establish an affiliation.

Illustrative template data, normalised to an index. Not FYFX results or a forecast.

Illustrative activity index

38.4 index

020406080100Jan 23Jan 24Dec 24Nov 25Oct 2638 index1355 daily observations in the selected range.

Illustrative template series; not actual FYFX results or a forecast.

Quantitative Review Framework

Purpose: Research discussion guide; not portfolio holdings

Evidence

Reviewed

StepReview AreaEvidenceStrategy-specificContextNo fixed thresholdsDiscussionIndividual review
01Signal rationaleHypothesisPersistenceMechanism
02Research validationOut-of-sampleData biasRobustness
03Live executionTrade recordsSlippageCosts
04Risk behaviourDrawdownsStress eventsLimits
05CapacityLiquidityMarket impactScale
06Model operationsVersioningMonitoringControls
07Signal interactionExposuresCorrelationRegime risk

Introduce Your Quantitative Edge.

Tell us about your hypothesis, research process and live trading evidence. This form is a preview and does not send messages. You can also visit Contact FYFX Capital

Outline your signal, markets, validation methods, execution needs and model risk controls. Do not include proprietary source code, sensitive datasets or account credentials.

Draft form only. Nothing is transmitted or subscribed. Read our strategy review guide or visit Contact for enquiry options.

Quantitative Trading Questions

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