What we do

At Flipsto, we operate at the intersection of quantitative research, financial engineering, and technology. We design systematic strategies that identify persistent market inefficiencies, capture them with precision, and manage risk at every layer of the process.

Our approach is market-by-market and methodical. Before entering any new market, we invest heavily in understanding it — building robust models, validating hypotheses across multiple market regimes, and stress-testing every assumption. We deploy only when our research gives us conviction. Never before.

Fully Automated

From signal generation to order execution, our strategies run without manual intervention. Automation is not a feature — it is a design principle.

Every strategy originates in a testable hypothesis. We validate systematically, discard ruthlessly, and only deploy what survives our full research pipeline.

Risk management is embedded at every stage of our process — not bolted on at the end. Position sizing, drawdown limits, and exposure controls are core to how we build, not afterthoughts.

Research-Driven

Risk-Controlled

We develop fully automated, systematic trading strategies — and we deploy them only when the science says they're ready.

Our focus

Volatility

Volatility markets offer some of the most structurally persistent opportunities in modern finance — and some of the most punishing environments for undisciplined approaches. We have built systematic models that identify and exploit volatility risk premia across instruments and regimes, with strict controls on tail risk exposure.

Our volatility strategies operate on daily and multi-day horizons, using derivatives to express views on implied versus realized volatility dynamics and term structure dislocations.

Commodities

Commodity markets are driven by a unique blend of macroeconomic forces, seasonal patterns, and supply-demand dynamics — creating rich, persistent signals for systematic strategies. We trade commodities through futures and derivatives, focusing on medium-term trends and structural inefficiencies that our models are designed to capture.

Our commodities strategies benefit from low correlation with traditional equity risk, contributing to the overall resilience of our portfolio.

We go deep before we go broad. Our edge comes from concentrated expertise, not scattered exposure.

Flipsto currently focuses on two asset classes where we have developed proprietary models, validated methodologies, and a consistent track record: volatility and commodities. We trade these markets through derivatives instruments on daily and multi-day horizons, combining systematic signal research with disciplined execution.

Annualized Return : [XX%] Sortino Ratio : [X.XX] Max Drawdown : [XX%]

Annualized Return : [XX%] Sortino Ratio : [X.XX] Max Drawdown : [XX%]

How we work

Every strategy is a hypothesis. Every deployment is a proof.

Data Sourcing & Preparation

We identify, source, and structure the data that powers our research. Raw data is cleaned, normalized, and enriched before it ever reaches a model. Garbage in, garbage out — we take data quality seriously.

Research & Signal Generation

We formulate hypotheses about market behavior and translate them into quantitative signals. Each signal is tested for statistical robustness, economic intuition, and persistence across different market regimes.

Our research and execution process follows a structured pipeline — designed to be systematic at every stage, from the first data point to the last trade. Here is how a strategy is built at Flipsto.

Backtesting & Validation

Research & Signal Generation

Portfolio Construction

Execution & Monitoring

Signals that survive initial research enter a rigorous backtesting framework. We test across multiple time periods, stress-test against adverse scenarios, and apply realistic transaction cost assumptions. Most ideas fail here. That is the point.

Validated signals are combined into portfolios optimized for risk-adjusted returns. We apply systematic position sizing, correlation analysis, and drawdown controls to ensure that no single signal or market dominates exposure.

Live performance is monitored continuously against expectations — and strategies are reviewed, recalibrated, or retired based on objective criteria, never emotion.

We don't deploy strategies we believe in. We deploy strategies we can prove.

That distinction is everything.