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Commercial Introduction

Evidence-governed alpha discovery for institutional investment decisions.

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Research since
2017
Built for
Institutional clients
Commercial version
Q4 2026

The road here

From quantitative investment research to an evidence-governed alpha laboratory.

The foundations of Avingar go back to 2017, when we began exploring how quantitative analysis, market data and statistical modelling could improve investment decisions. By 2024, Avingar had been repositioned towards institutional clients. Larger datasets, more specialised analysis and professional investment workflows created a much stronger setting for the technology - but also raised the standard of evidence required. A signal that appears attractive in a backtest is not enough: it must survive transaction costs, execution conditions, changing market regimes and independent validation before capital should ever be exposed.

This became the foundation for Avingar 2.0. During 2025 and 2026, agentic AI substantially accelerated development, and Avingar evolved from a system designed primarily to find signals into an evidence-governed research and certification platform designed to determine whether those signals deserve to be believed. The result is an alpha-discovery laboratory that can observe markets continuously, preregister hypotheses, test mechanisms against realistic cost assumptions, preserve reproducible evidence and reject strategies when the evidence does not support them.

  1. 2017Initial quantitative investment research and ideationOrigin
  2. 2024Repositioning towards institutional investment clientsInstitutional
  3. 25–26Development of the Avingar 2.0 evidence and alpha-certification architectureAvingar 2.0
  4. 2026Commercially usable institutional version targeted for Q4Target Q4

Positioning

Built to discover alpha. Designed to refuse it when the evidence is not there.

  1. 01Observe markets continuously
  2. 02Preregister hypotheses and validation rules
  3. 03Test against realistic costs
  4. 04Preserve reproducible evidence
  5. OutcomeCertify, or reject

Avingar 2.0 is an evidence-governed alpha discovery and certification platform for institutional investment research. Rather than producing as many trading signals as possible, it is designed to answer a harder question: is there a genuine, repeatable and executable investment opportunity after costs, capacity constraints and real-world market conditions are taken into account?

Every candidate mechanism progresses through a controlled evidence process. Market conditions are captured continuously, hypotheses and validation rules are defined before testing, transaction and execution costs are incorporated, outcomes are preserved under reproducible evidence identities, and strategies can be rejected automatically when predefined conditions are not met.

Negative findings are therefore part of the product. Avingar is designed to kill weak strategies, challenge its own statistical assumptions and preserve the possibility that no accessible edge exists in a particular market or dataset. Abstaining from a trade when the evidence is insufficient is treated as a successful decision, not as a failure of the system.

Current status

Avingar does not currently claim to have discovered positive, tradeable alpha. Its value today lies in having built the research machinery capable of distinguishing a genuine opportunity from statistical noise, attractive narratives and backtest artefacts.

Most systems are built to trade. Avingar is built so that when it finally trades, the reasons will survive an audit.

Contact

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