Criesnyse

How it works

Catalog

The Pit

Get the app

It takes time and pressure to make a diamond.

In trading it is no different. Only years of real results count.

Get the app

See the catalog

Build your own trading models

Teach a model which market conditions to spot, and Criesnyse builds it for you — no code.

Deploy once, and it works for years

Launch a model and it runs on its own, on our infrastructure, indefinitely.

A track record you can trust

Models lock at launch, so every result they post is real and verifiable.

Proven live, not just on paper

Each model trades on live market data and shows its real results as they happen.

Thousands of models, one data layer

The signals from every model combine into an alternative dataset you can actually use to make decisions.

Not another trading app. A place to build one.

We give you the infrastructure to create machine-learning models and run them at scale. You build the intelligence and we keep it working.

Infrastructure first

We built an environment where models run for years, not a hype AI chatbot that answers in the moment.

Pure machine learning

Real models trained on market data that read conditions the same way every day. Their behaviour comes from the data alone.

Built to scale

Create as many models as you want and every one runs after deploy. The more that go live, the richer the data underneath.

Every model you build gets to run.

Train

Label the market your own way, and your model learns to read it back.

Deploy

It's cross-validated and back-tested first, so you ship it already knowing how it performed.

Track

Once it's live it keeps running, and anyone can subscribe to its data. Every model feeds one shared ecosystem.

Learn the core concepts.

Criesnyse Basics

What the platform does, what it doesn't, and how models turn your labels into market data.

Model Lifecycle 101

Every model runs the same path: train, validate, freeze, backtest, then live for good.

Understanding Model Rarity

Why rarity tracks live results, not backtests, and shifts up or down as a model proves itself.

Understanding Predictions, Orders, and Trades

How a daily prediction becomes a simulated position, and why only closed trades give you metrics.

Understanding Sentiment Tracking

Combine the models you track into one read on the market, and see when they agree.

Understanding Blindspots

Spot where your tracked models keep missing the same moves, and fix the bias behind it.

Common questions.

No. The platform automatically creates and trains models based on examples you provide and selected parameters. Everything is handled under the hood.

We don't create social networks for copying trades. All models work independently, generating datasets you can analyze as an alternative data source for trading decisions.

No. You create your own models that generate signals based on your parameters. We don't have mysterious "black box" algorithms - every model is created by users.

No catch. Once created, models operate independently. If you abandon your model, other users can still benefit from it, creating value for the entire ecosystem.

Yes. Each validated model becomes an immutable binary file with a unique NFT after tokenization. True ownership is built into our core concept.

Models need to prove value through actual trading performance over time. Immediate tokenization would create speculative assets without verified track records.

Your model continues operating and other users can subscribe to it. You keep ownership rights and can tokenize anytime. Our roadmap includes desktop app for complete autonomy.

Train any model. It runs forever.

Free to create. Immutable once live. Yours to keep.

Download on iOS

Get it on Android

Criesnyse

Build no-code AI models that classify market conditions.

Terms

Privacy

Disclaimers