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Alpha research, end to end.

Alpharium is an expression-driven quantitative research platform. Write a signal as a formula, backtest it across equity, futures and crypto universes, and promote it through in-sample / out-of-sample gates into a production portfolio.

Production alphas

Taiwan equities · ensemble (all-cap)

TW Equities

2015-01-05 → 2026-10-05

Sharpe

2.82

Ann. return

11.3%

Max drawdown

-4.0%

Taiwan equities · ensemble (top 200)

TW Equities

2015-01-05 → 2026-10-05

Sharpe

2.68

Ann. return

17.4%

Max drawdown

-7.5%

Taiwan equities · single signal (top 50)

TW Equities

2010-01-04 → 2026-10-05

Sharpe

2.11

Ann. return

21.1%

Max drawdown

-18.4%

Crypto perpetuals · cross-sectional (top 30)

Crypto Perps

2025-08-02 → 2026-10-05

Sharpe

1.52

Ann. return

23.1%

Max drawdown

-16.5%

How research works

1. Express

Compose signals from a rich operator library over point-in-time data.

2. Validate

IS/OOS gates, Monte-Carlo and regime analysis before anything goes live.

3. Promote

Lifecycle tracking, knowledge graph and portfolio construction in one place.

Illustrative example — not a production signal

LongShortBalance(CsDemean(CsRank(TsMean(pv_ret, 20))))

Platform

Alpha detail page with cumulative PnL, drawdown and statistics panels
Alpha detail — cumulative PnL, long/short drawdown and risk-adjusted statistics for one backtest context.
Knowledge graph overview with factor counts by region and category
Knowledge graph — every tested factor and hypothesis, so new ideas are checked against prior work first.

Agentic research loop

Alpharium runs research as a loop, not a one-off. Autonomous research agents generate hypotheses, submit backtests through our MCP server, read the results and iterate, recording every generation to a shared research memory so later runs start from what earlier ones learned. Humans set the research agenda and gates; agents do the volume. The same agent tooling drives most of our engineering workflow, from implementation and review to deployment and operations.

Hypothesis generation

Agents propose candidate signals from data catalogs, prior results and anti-pattern lists.

Backtest via MCP

Every experiment runs through the same batch tooling and IS/OOS gates as a human researcher.

Research memory

Findings, failures and friction are written back so the next generation does not repeat them.

About

Alpharium is a quantitative research company founded in 2026 in Taipei, Taiwan. A small team of quant researchers and engineers builds and operates the platform, running systematic strategies across Taiwan equities, index futures and crypto perpetuals. The production alphas above are live in our own portfolio; the research behind them stays private.

Founded
2026
Headquarters
Taipei, Taiwan
Stage
Bootstrapped
Contact
[email protected]
Profile
Crunchbase

Simulated performance, net of modelled transaction costs. Past performance is not indicative of future results. Not investment advice.

© 2026 Alpharium · Taipei, Taiwan