Evaluate a systematic strategy
Test an idea across different market conditions, including realistic costs, order execution and limits on strategy size.
Quantitative, liquidity & risk
Turn market questions into testable decisions.
Systematic strategies, liquidity and risk analysis begin with good questions—and models that account for real trading conditions.
Strategies · Liquidity · Exposure analysis
Trading firms · Funds · Venues · Token projects · Institutional risk teams
EXPLORE THE PRODUCT SCOPE
Quantitative, liquidity & risk.
Systematic strategies and liquidity services require observable assumptions, measured exposures and controls that respond to changing markets.
Quantitative trading strategiesTest systematic strategies against data, costs and market conditions.
Systematic strategy research across arbitrage, trend and volatility trading. Models are assessed using data quality, transaction costs, capacity, realistic execution assumptions and out-of-sample testing. This work defines when and why to trade; execution algorithms determine how orders are carried out. Model drift and changing markets can invalidate prior results.
View in the complete directoryMarket making & liquidity servicesDefine quoting, inventory and market-conduct requirements.
Two-sided quoting and liquidity support for trading venues, token projects, funds and institutional counterparties. Design priorities include spreads, executable depth, inventory limits, quote continuity and market-conduct controls across normal and stressed conditions.
View in the complete directoryRisk management solutionsMeasure concentration, market exposure and collateral needs.
Tools and workflows for price, volatility, liquidity and digital asset exposure management. Position aggregation, scenario analysis, stress testing and limit monitoring support hedging decisions and help identify collateral needs, concentration and counterparty dependencies.
View in the complete directoryPOTENTIAL APPLICATIONS
From a market hypothesis to a measured approach.
Our direction includes systematic trading, market making and exposure analysis. A useful model must account for data quality, trading costs, available liquidity and losses under adverse conditions.
Assess a liquidity arrangement
Define the instruments, bid and offer quotes, available order size and inventory limits. Include appropriate market-conduct controls.
Measure portfolio risk
Review positions, collateral and counterparties under price, volatility and liquidity stress. Identify concentrated exposures.
START WITH THE REQUIREMENTS
A clear brief makes a useful conversation.
These four considerations help define the scope, responsibilities and practical requirements for a proposal.
- 01
Define the problem
Strategy hypothesis, liquidity objective or risk exposure to be measured.
- 02
Validate the inputs
Source data, timestamps, model assumptions, costs and venue constraints.
- 03
Specify the limits
Position and inventory limits, stress thresholds, exceptions and escalation.
- 04
Review performance
Execution quality, model drift, scenario outcomes and changing market conditions.
Model and data risk
Biased samples, poor data or overfitting can produce misleading results. Past tests may not hold in live markets.
Execution and inventory
Liquidity can disappear when markets move. Latency, fees, partial fills and inventory accumulation affect strategy outcomes.
Market conduct
Liquidity arrangements require clear responsibilities and appropriate controls. Quoting activity cannot ensure prices, market depth or investment performance.
Scope & availability
These areas describe Avermont’s development scope and are not currently offered to clients. Availability depends on applicable permissions, jurisdiction, eligibility, counterparties and final terms. Read the legal information.
PARTNERSHIPS & INQUIRIES
Discuss a strategy, liquidity or risk requirement.
List the instruments, venues and available data. Explain what you want to measure or improve and the role your organization would take.