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A data science framework that turns your models into recurring revenue
New data uploaded every week
Connect your models to several use cases in parallel
Don't bother managing and scaling your infra and compute
Create new revenue streams by testing your code on new problems
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Spend more time with your dog in the park
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Launching Crunch...

learning_rate=0.1,

n_estimators=2,

learning_rate=0.1,

n_jobs=-1,

colsample_bytree=0.05

)

# training the model

model.fit(X_train.iloc[:,2:], y_train.iloc[:,2:])

# saving model

model_pathname = Path(model_directory_path) / "model.joblib"

print(f"Saving model in {model_pathname}")

joblib.dump(model, model_pathname)

def infer(X_test: pd.DataFrame, model_directory_path: str = "resources") ->

pd.DataFrame:

# loading the model saved by the train function at previous iteration

model = joblib.load(Path(model_directory_path) / "model.joblib")

# creating the predicted label dataframe with correct dates and ids

y_test_predicted = X_test[["date", "id"]].copy()

y_test_predicted["value"] = model.predict(X_test.iloc[:, 2:])

Seamless AI integration:
From Data to Revenue
You provide models, you retain ownership,
no one can publicly access your IP, we
operate and monetise for you.
The architecture is safe / efficient / smart /
ready to go
  We take care of your ML Ops   
And reward you every time customers use your code
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Join the global network of Quant Clubs and connect with professionals in quantitative research through events worldwide.
A Crunch
=
A COMPETITION
ADIA LAB MARKET PREDICTION COMPETITION
Start
A CROSS-SECTION FORECAST PROBLEM

The cross-section forecast problem is a difficult but fascinating challenge in finance that involves predicting the relative performance of a group of investments over time. The problem arises because directly predicting the future price of a single asset is very hard. So instead, we can try to predict how different investments will do compared to each other. This is done by tracking a pool of investment vehicles over time. The pool is usually made up of assets that are obtained according to some rule, like the S&P 500, which tracks the performance of the 500 largest companies in the US. The challenge of the competition is to rank the investments from best to worst at each given date. The scoring function for the competition is based on Spearman's rank correlation, which measures how well the predicted ranking of the investments matches up with the actual ranking.

Timeline
2023-12-07
Enrolment
2023-12-07
Rally Start & Submissions Open!
2023-12-07
Submission Deadline
2023-12-07
End of Competition
DATACRUNCH RALLY
Start

DataCrunch uses the quantitative research of the CrunchDAO to manage its systematic market-neutral portfolio. DataCrunch built a dataset covering thousands of publicly traded U.S companies.

The long-term strategic goal of the fund is capital appreciation by capturing idiosyncratic return at low volatility.

In order to achieve this goal, DataCrunch needs the community to assess the relative performance of all assets in a subset of the Russell 3000 universe. In other words, DataCrunch is expecting your model to rank the constituent of its investment universe.

This rally is a new iteration on DataCrunch's dataset called master-v3.

Timeline
2024-03-15
Submission Phase Start
2024-04-30
Out-Of-Sample Phase
2024-05-24
Final Leaderboard
Getting Started
GET STARTED
How to get set up for the DataCrunch Tournaments (10 minutes)

The DataCrunch tournament is the legacy tournament from where the CrunchDAO adventure started. It will be deprecated to the benefit of the Datacrunch competition soon.

DataCrunch is a Systematic Long-Short Fund and a client of the CrunchDAO community.

As a participant, you will be asked to build models on DataCrunch's dataset.

Members are remunerated in $CRUNCH according to the correlation of their predictions with the stock market.

DataCrunch is paying the CrunchDAO with $CRUNCHs that are redistributed to the participant.

The data crunchers receive payments according to their position on the leaderboard.

Main Steps
Select the DataCrunch tournament in the hub
Build your model and submit your predictions every week.
Get your monthly $CRUNCH reward based on the Global Leaderboard.
Don't forget to join the working
community on Discord!
Engage in the governance of the DAO by joining our voting platform!
+6000 DATA SCIENTISTS  -  $100,000 AVG PAYOUT PER HUB  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST
+6000 DATA SCIENTISTS  -  $100,000 AVG PAYOUT PER HUB  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST
+6000 DATA SCIENTISTS  -  $100,000 AVG PAYOUT PER HUB  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST
$100,000 AVG PAYOUT PER Crunch
$100,000 AVG PAYOUT PER HUB  +6000 DATA SCIENTISTS  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST  -  
$100,000 AVG PAYOUT PER HUB  +6000 DATA SCIENTISTS  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST  -  
$100,000 AVG PAYOUT PER HUB  +6000 DATA SCIENTISTS  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST  -  
3,400 DATA SCIENTISTS REWARDED SO FAR
$100,000 AVG PAYOUT PER HUB  +6000 DATA SCIENTISTS  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST  -  
$100,000 AVG PAYOUT PER HUB  +6000 DATA SCIENTISTS  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST  -  
$100,000 AVG PAYOUT PER HUB  +6000 DATA SCIENTISTS  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST  -  
3 AVG NUMBER OF CrunchES PER DATA SCIENTIST
+6000 DATA SCIENTISTS  -  $100,000 AVG PAYOUT PER HUB  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST
+6000 DATA SCIENTISTS  -  $100,000 AVG PAYOUT PER HUB  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST
+6000 DATA SCIENTISTS  -  $100,000 AVG PAYOUT PER HUB  -  3,400 DATA SCIENTISTS REWARDED SO FAR  -  3 AVG NUMBER OF HUB PER DATA SCIENTIST
+6000 DATA SCIENTISTS
Contribute one model to multiple Crunches, maximize your impact, and start earning with Crunch Foundation.
Crunch Now

Crunch Foundation represents the cutting edge of financial technology, merging blockchain and AI to democratize access to advanced analytical tools and drive global economic progress.

Testimonials

The machine learning competitions at Crunch Foundation are notable for their complexity in addressing real-world financial market problems. Additionally, they foster a strong sense of camaraderie among the participants.

I have been involved in Crunch since day 1. Over the last 4 years, I saw the Team building and adapting to an ever-changing market. I am proud to be part of this. In web3, most projects over promise and under deliver. And there is Crunch