Quantitative research · Validation · Risk engineering

Research engineered for real-world markets.

Ainstein Fin-Tech designs systematic strategies and the research infrastructure required to test, challenge, and explain them — from backtest prototypes to out-of-sample evidence and decision-grade reports.

REPORTING01—04

Research outputs designed to be inspected

Candidate stress views, capital paths, and animated parameter surfaces expose different parts of the same question: what worked, how stable it was, and where it may fail.

CALL + PUT Top50 WFO parameter surface · 8-second research animation
01RESEARCH
02VALIDATE
03CONTROL
04REPORT
250+research strategy modules
25,000+analysis artifacts
20+automated test modules

What we build

A complete research path, not an isolated backtest.

Every engagement is structured around a research question, a defensible validation path, and outputs that can be audited by another person.

01

Strategy architecture

Translate a market hypothesis into explicit signals, execution assumptions, sizing, and risk rules.

02

Robust validation

Separate in-sample discovery from walk-forward and replay evidence, then challenge candidate stability.

03

Risk overlays

Measure drawdown, tail risk, exposure states, and regime conditions before capital decisions.

04

Reporting systems

Turn large experiment sets into ranked candidates, diagnostics, and concise research narratives.

Capabilities

Research sequence

Evidence compounds when every stage has a job.

01

Frame

Define the economic or market-structure question before tuning parameters.

02

Build

Encode entries, exits, costs, sizing, data assumptions, and reproducible tests.

03

Challenge

Run walk-forward, out-of-sample replay, sensitivity, and Monte Carlo analysis.

04

Control

Apply regime and exposure logic, then document limits and failure modes.

Selected evidence

Three examples from a broader research system.

We publish enough evidence to explain the work while keeping source strategies, complete parameter sets, and trade-level data private.

Selected work

Start a conversation

Make the next research question explicit.

achow@ainstein.com.hk

Research material only. Hypothetical and simulated results are not live performance, do not guarantee future results, and are not investment advice.