A research infrastructure for markets that change regime
Previsio is an editor of adaptive market models. We produce market intelligence, not capital management: our models, signals and scenarios are exposed via API to professional or regulated partners, who remain the sole decision-makers for their use.
Research built on competition, not on a single model
We do not seek a model capable of predicting everything with certainty. Our infrastructure permanently maintains several tens of thousands of algorithmic hypotheses, confronts them with real market data, and continuously identifies the most robust behaviors in the face of changing market regimes (bullish, bearish, indecisive).
Question the obvious
We start from no market conviction a priori. Every algorithmic hypothesis is tested, measured, and continuously challenged based on its observed results.
Permanent competition
Several tens of thousands of algorithmic behaviors are simulated in parallel. A selection mechanism regularly identifies models whose behavior has best adapted to recent market conditions.
Continuous improvement
Models are continuously retrained from new market data and their own observed behavioral gaps.
Models, signals, scenarios
Previsio continuously builds adaptive market models. Each model has its own history, risk level, theoretical buy, sell or hold signals, and its own statistical characteristics. These models are exposed via API as a library: the professional or regulated partner selects, combines, filters or ignores models according to its own governance and risk rules.
Previsio produces. The partner decides. The partner executes.
A multi-market infrastructure
Our research work currently covers several analysis universes, at different stages of maturity.
Validated universes
- · Crypto-assets
- · French equities (CAC 40)
Research universes being integrated
- · European equities — 72 securities
- · American equities — 516 securities
- · Index ETFs and thematic models — 23 ETFs (semiconductors, defense, space, Europe, environment, Asia, Africa)
Experimental observations, not promises
Over the last twelve months, certain sequential simulations performed on historical data showed differentiated behaviors compared to reference indices, both on the CAC 40 universe and on the crypto-asset universe.
These results are experimental observations on historical data. They do not prejudge future performance and do not constitute an offer to the public, a solicitation to invest, or a performance guarantee.
An infrastructure designed for professional or regulated partners
Previsio serves asset management companies, family offices, regulated digital asset service providers (PSAN/CASP) and other professional or regulated operators wishing to integrate into their own governance adaptive models, signals or scenarios from our quantitative research.
Member of acceleration programs
Previsio is recognized and supported by global tech leaders.
Member of NVIDIA Inception Program
The NVIDIA Inception program supports startups revolutionizing their industry through AI and Deep Learning.
AWS Activate for Startup
AWS Activate provides startups with resources, technical support and cloud credits to accelerate their growth.
Our news
What a quantitative research infrastructure in production concretely represents
→ 840,000 model portfolios simulated in continuous competition
→ 376 million theoretical orders generated
→ 146 million predictions calculated
→ An automated hourly pipeline, 24/7, across 12 asset universes (crypto, FR/US/EU stocks, ETFs)
→ Nearly 16,000 "champion" alpha strategies re-backtested each day
→ Over 140 constrained strategies \(maximum daily loss and drawdown)
→ And yes it's sure… lots of "secret sauce"!
Classical quantitative approaches share a structural flaw: they seek the best strategy. Our R&D lab on financial markets challenges this.
The problem is that markets don't stay in the regime for which the model was trained.
We are pleased to announce that Previsio joins the NVIDIA Inception program and the AWS Activate for Startups program!
Can machine learning differentiate its behavior from market indices?
These works are experimental observations on historical data: they do not prejudge future performance and do not constitute an offer to the public or a solicitation to invest.
What if forecasting also meant understanding?
On Thursday, April 24th we were at the recruitment fair of @DataScientest.com school to meet…
24 interviews with great profiles in speed dating mode, congratulations on the organization @Estelle MOLTO and @Kahina!
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Work hybridization is settling in: anticipating crowds in shops, restaurants and public services is becoming problematic
Meeting tomorrow's talent: Previsio at the DataScientest recruitment fair
Understanding human behavior through machine learning
Anticipating the unpredictable: AI for hybrid flows
Explore our model library
Are you an asset management company, a family office or a regulated operator and want to explore our model library? Contact the Previsio team.