Shiny Numerati

Community Dashboard for the Numerai Classic Tournament

Step 1: Select Your Models

First, click this ⬇

Step 2: Download Data

Next, click this ⬇ (it may take a while)

Performance Summary

Remember to refresh the charts after making changes to model selection or settings below.

NOTE: the charts may take a while to render if you have selected a lot of models.

Step 4: Adjust the Filter

Numerai Classic Tournament Rounds

Step 5: Generate Summary

Pick ONE of the KPIs:

Cumulative

Hide Pending

Facet

Notes:

avg_05cor: Average 0.5 x CORRv2
sharpe_05cor: Sharpe Ratio of 0.5 x CORRv2
avg_2mmc: Average 2 x MMC
sharpe_2mmc: Sharpe Ratio of 2 x MMC
avg_05cor2mmc: Average 0.5 x CORRv2 + 2 x MMC
sharpe_05cor2mmc: Sharpe Ratio of 0.5 x CORRv2 + 2 x MMC

Download Raw Data

Wanna run your own analysis? No problem.

Remember to select your model(s) first.

Numerai Coummunity

Around the World with Numeratis

Overview

NumerCon (2022) and the time I spent with my fellow Numeratis were the exact “booster jab” I needed to wake the “meetup organizer Joe” up after two crazy years of COVID and hibernation in a man cave. After NumerCon, I am confident that

many countries are now ready for in-person tech events and
we need to bring this fantastic in-person experience to more Numeratis around the world.

So, fam, here is my proposal for Global Numerai Community Meetups.

Goals

Demystifying Numerai - many top data scientists out there are just not too sure about the crypto elements and/or the tournament format. Speaking with and listening to long-term participants can be an effective way to build trust. This was exactly how I learned to trust Numerai after watching Jon’s Office Hours with Arbitrage.
Knowledge sharing and brainstorming - although we may not share all our secret sauce, meetups are great opportunities to bounce ideas off each other and may lead to new models with crazily high TC.
Face-to-face discussions between Numeratis and Numerai team - a lot more than just asking the team “wen scores” in person, these events can provide a quick and direct feedback loop for both participants and the Numerai team.

What's Here?

Materials (slides and videos) from previous events
Survey results for upcoming events
Memes and (de)GenAI stuff from the community

Enjoy :)

Materials from CoE Sponsored Meetups

metamodel

Luma and Blog

Meetup Goals

Demystifying Numerai - many top data scientists out there are just not too sure about the crypto elements and/or the tournament format. Speaking with and listening to long-term participants can be an effective way to build trust. Some participants learned to trust Numerai after watching Office Hours with Arbitrage.
Knowledge sharing and brainstorming - although we may not share all our secret sauce, meetups are great opportunities to bounce ideas off each other and may lead to new models with crazily high TC.
Face-to-face discussions between Numeratis and Numerai team - a lot more than just asking the team “wen scores” in person, these events can provide a quick and direct feedback loop for both participants and the Numerai team.

Check out the original proposal here.

Meetup #1 - 2022-07-16 - London

Eventbrite - Link
Photos - Link
Welcoming Remarks by the Numerai Council of Elders - Video
Talk #1 - Introduction to Numerai (with Memes) by Jo-fai Chow aka ia_ai - Video - Slides
Talk #2 - A Complete Beginner’s Guide to Numerai: From Zero to Hero by Alex Benton aka Aventurine - Video - Slides
Talk #3 - Signals - the Non-ML Approach by Jon Taylor - Video - Slides
Talk #4 - Building a Profitable Signals Model: the Principles Behind Alpha_X/Beta_X by Boogies999 - Video - Slides
Talk #5 - From Tournament to Trading: a Brief Tour of How We Turn Signals into a Hedge Fund by James Elford - Video - Slides
The Numerai Community Fireside Chat by the Numerai Council of Elders - Video
Closing Remarks by the Numerai Council of Elders - Video
Bonus Talk - Welcome to the Numerai Universe by Jos Eilers - Slides (Jos couldn’t join us on the day)

Meetup #2 - 2022-09-24 - New York City

Eventbrite - Link
Welcoming Remarks by the Numerai Council of Elders - Video
Talk #1 - A Complete Beginner’s Guide to Numerai: From Zero to Hero by Alex Benton aka Aventurine - Video - Slides
Talk #2 - Feature selection for the classic tournament by Jo-fai Chow aka ia_ai - Video - Slides
Talk #3 - Numerai Signals by Suraj Parmar (Numerai Council of Elders) - Video - Slides
Talk #4 - Multi-strategy hedge funds and their discontents, their past and their future by Richard Craib (Founder and CEO of Numerai) - Video (Pending Review)
Talk #5 - Welcome to the AI Arena by Brandon Da Silva and Wei Xie (Co-founders of AI Arena) - Video - Research Platform Walkthrough
Closing Remarks by the Numerai Council of Elders - Video

Meetup #3 - 2023-04-08 - Tokyo

Eventbrite - Link
Photos - TBA
Talk #1 - Numerai Example Scriptを読み解く by Yuichiro Nishimoto - Video (JP) - Slides (JP)
Talk #2 - The Challenge of Automatically Configuring Numerai Compute Environment by Regonn - Video (JP) - Slides (JP) - Code
Talk #3 - Asset Centrality in Numerai by Yoshiso - Video (JP) - Slides (EN)
Talk #4 - 日本株の分析を簡単にするJ-Quants APIの紹介 by Shohei Meitoma - Video (JP) - Slides (JP) - Slides (EN)
Talk #5 - Can we stably earn NMR from TC? by Ageonsen - Video (JP) - Slides (EN)
Talk #6 - Numeraiモデルのポートフォリオ構築の試み by Habakan - Video (JP) - Slides (JP) - Slides (EN)
Talk #7 - Stock Prediction using ChatGPT by UKI - Video (JP) - Slides (JP) - Slides (EN)
Talk #8 - Numerai Signals Tips and Tricks by Jon Taylor - Video (EN) (Note: incomplete video due to equipment failure) - Slides

Meetup #4 - 2023-07-08 - Prague

Eventbrite - Link
Photos - Link
Talk #0 - Quick Update on Numerai Meetups by Jo-fai Chow - Slides
Talk #1 - NumerAPI: The Python Client for Numerai by Wolfgang Steitz - Video - Slides
Talk #2 - Decide Your Model Stake Sizes with Vlad the Staker by Boris Schmid - Video - Slides
Talk #3 - Cheapskate’s Numerai ML infrastructure by Josef Švenda - Video - Slides
Talk #4 - Shiny Numerati: A Brief History and Use Cases by Jo-fai Chow - Video - Slides
Talk #5 - My Journey from Web2 to Web3 by Alex Benton - Video - Slides
Talk #6 - Community Fireside Chart - Video

Meetup #5 - 2023-10-14 - Toronto

Eventbrite - Link
Photos - Link
Talk #1 - Quick Update on Numerai Meetups by Jo-fai Chow - Slides
Talk #2 - Introduction to Machine Learning by Aventurine - Video - Slides
Talk #3 - Introduction to Numerai by Aventurine - Video - Slides
Talk #4 - NumerWiki: the Numerai Glossary by Peter Ling - Video - Slides - NumerWiki (WIP)
Talk #5 - Introduction to Numerai Signals by Suraj Parmar - Video - Slides (G) - Slides (PDF)
Talk #6 - Using the Shiny Numerati Dashboard to Find Your Best Models by Jo-fai Chow - Video - Slides
Talk #7 - Language Models: From Words to Numbers by Suraj Parmar - Video - Slides (G) - Slides (PDF)
Talk #8 - Community Fireside Chat - Video

Meetup #6 - 2024-01-16 - San Francisco

Meetup - Link
Photos - Link
Talk #1 - Signals - More alpha than there is noise in the market by Suraj Parmar - Slides

Meetup #7 - 2024-04-27 - Frankfurt

Eventbrite - Link
Photos - Link
Welcoming Remarks - by the Numerai Council of Elders - Slides
Talk #1 - From Zero to Hero by Josef “svendaj” Švenda - Video - Slides
Talk #2 - Feature Selection by Daniel Springmann - Video - Slides
Talk #3 - Vlad the Staker by Boris Schmid - Video - Slides
Talk #4 - Three MMC Tricks by Jeethu Rao - Video - Slides
Talk #5 - My Journey to Expert on Numerai-Signals* by Sandro Scodeller - Video - Bonus Video - Slides
Talk #6 - Shiny Numerati by Jo-fai Chow - Video - Slides
Talk #7 - Fitting LLMs on iPhones by Jeethu Rao - Video - Slides

Meetup #8 - 2024-07-20 - Tokyo

Eventbrite - Link
Photos and Videos - Link
Welcoming Remarks - by the Numerai Council of Elders - Slides
Talk #1 - Updates and Strategy for Numerai in 2024 by Yuichiro Nishimoto - Video (JP) - Slides (JP)
Talk #2 - Submission with Numerai Compute using GCP Batch by Regonn - Video (JP) - Slides (JP + EN)
Talk #3 - Exploratory Data Analysis of the Numerai Signals V1 Dataset by Habakan - Video (JP) - Slides (JP)
Talk #4 - YIEDL: An asset management DAO driven by a crowd-sourced AI by Davide Capoti & Roberto Giaccio - Video - Slides (Part I) - Slides (Part II)
Talk #5 - Introducing FLock.io - A Decentralized AI Arena by Tim Shen - Video - Slides
Talk #6 - Introducing CrunchDAO by Jean Hérelle - Video - Slides

Meetup #9 - 2024-11-11 - Bangkok - Meetup @ Superintelligence Summit

Free Registration - Link
Social Media - Link
Photos - Link
Welcoming Remarks - by the Numerai Council of Elders - Slides
Talk #1.1 - YIEDL.ai: Introduction by Davide Capoti - Slides - Video
Talk #1.2 - YIEDL.ai: How It Works by Roberto Giaccio - Slides - Video
Talk #1.3 - YIEDL.ai: Datasets by Lubin Tan - Slides - Video
Talk #1.4 - YIEDL.ai: Collaboration with the Numerai Council of Elders by Jo-fai Chow - Slides - Video
Talk #2.1 - FLock.io: Introduction by Jiahao Sun - Slides - Video
Talk #2.2 - FLock.io: Live Demo by Nick Wen - Video
Talk #3 - Ocean Data Challenges: Collaboration with Numerai by Raymond Maiorescu
- Ocean Foam - Ocean Protocol’s data challenge program rebranded
- ETH Predict - Ocean’s first series of challenges attempting to build models that predict the future value of ETH
- ETH Predict - Docs on Github
- Numerai Data Challenge - as posted on Ocean’s platform (Desights)
- Numerai Data Challenge - Raymond’s blog post on Ocean Protocol blog page
- Numerai Data Challenge Winners Announcement - Ray’s blog post at the end of the challenge
- 1st Place
- 2nd Place
- 3rd Place

Meetup #10 - 2025-03-29 - Decentralized AI Day (Seattle)

Free Registration on Luma - Link
Photos - Link
Welcoming Remarks - by the Numerai Council of Elders - Slides
Talk #1 - Deploying LVMs with Distributed Computing by Sean Tracey - Slides - Video
Talk #2 - Introduction to Numerai by Michael Oliver - Slides - Video
Talk #3 - The Do’s and Dont’s of Building Decentralized AI by Matt McKinney - Slides - Video
Talk #4 - Introduction to FLock.io by Nick Wen - Video
Talk #5 - Manami.AI: Enhanced Portfolio Visibility by Pavan Katepalli - Slides - Video
Talk #6 - Tokenizing Physical and Digital Goods with Niftmint by Jonathan Blanco - Video

Meetup #11 - 2025-05-17 - Decentralized AI Day (Tokyo)

Free Registration on Luma - Link
Photos - Link
Welcoming Remarks - by the Numerai Council of Elders - Slides
Talk #1 - ハッカソンでマルチLLM＆マルチAI AgentでDeFAIプロダクトを作ってみた by Haruki - Slides - Video
Talk #2 - HyperLens by Bekki - Contact Speaker
Talk #3 - Unlock Actionable Insight from Unstructured Data by Jeff Tsui - Contact Speaker
Talk #4 - FLock.io 101 by Vincent Wang - Video
Talk #5 - Numeraiの計算費用節約トーク by Nishimoto - Contact Speaker
Talk #6 - Numerai as Decentralized AI: Insights from 13F-HR and Operational Costs by Kei Sanada - Slides - Video
Talk #7 - Japanese Corporate Disclosures by Aram Zinzalian - Contact Speaker

Meetup #12 - 2025-09-20 - Decentralized AI Day (Vienna)

Free Registration on Luma - Link
Photos & Videos - Link
Welcoming Remarks - by Joe Chow @ Numerai Council of Elders - Slides
Talk #1 - Introduction to Numerai by Aventurine @ Numerai Council of Elders - Slides - Video
Talk #2 - How to Turbocharge Model Building for Numerai with Vibes by Ling - Slides - Video
Talk #3 - What does the “era” information mean for Numerai model training by gBrecht - Slides - Video
Talk #4 - 15 minutes with mljar tools by Piotr Płoński - Video
Talk #5 - Let the AI Cook: Turning YIEDL’s Data Science Battles into Unstoppable AI-Driven Crypto Portfolios by Davide Capoti, CEO @ YIEDL.ai - Slides - Video
Talk #6 - CrowdCent - Hyperliquid Challenge by Robert Smillie - Slides - Video
Talk #7 - Latest FLock Developments by Yifan Xie, VP of DevRel @ FLock.io - Slides - Video
Talk #8 - Sportstensor: Incentivizing Collective Intelligence for Sports Prediction - Slides - Video
Talk #9 - Distributed Prediction of Financial Time Series by Barbarian @ MANTIS - Video

Meetup #13 - 2026-01-27 - Decentralized AI Day (San Francisco)

Free Registration on Luma - Link
Photos & Videos - [Link (TBA)]
Welcoming Remarks - by Joe Chow @ Numerai Council of Elders - Slides
Workshop Intro #1 - CrowdCent Workshop by Jason Rosenfeld - Slides
Talk #1 - Introduction to Numerai by Michael Oliver @ Numerai - Slides
Talk #2 - How to Develop with AI in 2026 by Michael Philips @ Numerai - Slides
Talk #3 - Cracking FLock.io Task 18: Dark Pool Order Routing by Robert Smillie - Slides
CrowdCent Workshop
- Description: “The Ultimate Submission” — Participants will blend datasets from CrowdCent, Numerai Crypto, and YIEDL to build an ensemble-of-ensembles model for crypto ranking prediction.
- CrowdCent Workshop Container on Yotta Labs - Link
- We’ll cover:
  - Data merging across multiple DeAI platforms
  - Building a full sklearn pipeline with XGBoost, LightGBM, CatBoost, and LSTM models
  - Proper time-series cross-validation (TimeGapSplit) to avoid leakage
  - Evaluating with CrowdCent’s official metrics (Spearman correlation, NDCG@40)
  - Live submission to the Hyperliquid Ranking challenge
YIEDL Workshop
- Description: Decentralized AI from Research to decentralized Capital allocation
- Format: 3 Sessions
- Audience: Data Scientists & Investors / Traders
- Led by: Davide Capoti (Co-Founder & CEO) * Roberto Gicaccio (Co-Founder & CTO)
- Goal: Understand, experience, and enter the YIEDL ecosystem
- Sessions:
  - [Intro] The Vision: Bridging Research and Capital — 30 min
    - YIEDL is a decentralized marketplace where investors meet science. It connects data scientists and investors in a single ecosystem where predictive models compete on real crypto markets and become AI-powered investment portfolios, accessible to anyone, deployable in self-custody, and activated with one click—turning collective intelligence into capital allocation.
  - [Session 1] The Scientist Track: Proving Your Edge — 45 min
    - We focus on the engine of YIEDL: data scientists. We introduce the “skin in the game” model, where tokens are staked on predictions, rewards are earned for accuracy, and poor performance is penalized. Participants then access curated datasets, set up their environment, and submit a live prediction to the UPDOWN or NEUTRAL competition using our Python library.
    - Prizes: 🎁 1,000 YIEDL tokens guaranteed for all submitters.
  - [Session 2] The Investor Track: Algorithmic Execution — 45 min
    - We move to the capital layer, showing how models become investable AI portfolios. Participants deploy a Bot, an automated AI agent executing Long/Short or Market Neutral strategies on Solana perpetuals in a fully non-custodial setup. Flow: connect Phantom wallet, fund the account, choose a bot using KPIs (Sharpe, Sortino, Max Drawdown, Profit Factor), and deploy with one click.
    - Prizes: 💵 100 USDC welcome bonus for all participants + YIEDL token rewards for the top 3.
  - [Session 3] The Future: Roadmap & Continuity — 15 min + 15 min (Q+A)
    - We close with upcoming markets, new competitions, and platform evolution, outlining how to continue—either by refining models for weekly rewards or scaling capital as an investor. Final Q&A and networking.
Crunch Workshop
- Source: Link
- Description: From zero to live in 4 Decentralized AI Opportunities
- Note: Beware this is a 3 to 4 hours Workshop!
- Who is Crunch: We are a decentralized intelligence platform where Financial institutions tap into thousands of data scientists to produce and crowdsource predictive models on live financial problems.
- This workshop is led by Crunch Founder and CEO Jean Herelle.
- Each session is designed to get you from zero to a competitive baseline by end of workshop.
  - [Intro] - Platform introduction and fundamentals - 15min + 10min Q&A
    - How does Crunch really works in production? How does rewards, scoring, tokenomics work at model node and protocol level? What’s the platform direction and roadmap for coming year?
  - [Session 1] - Datacrunch New Dataset Release - ⍺H Long / Short Equity - 30min
    - Datacrunch’s most significant dataset upgrade to date, rebuilt from the ground up based on the fund’s first eight months of live trading. Dataset structure, Target definition, Live EDA on extended history and larger cross section, Modeling implications of the 28 day forward return., Live walkthrough and submission
  - [Session 2] - Falcon Game - Institutional low frequency eFX - 30min
    - An anonymized high frequency dataset provided by one of the largest institutional banks to improve their Forex Market Making. Designed by Peter Cotton, this dataset reflects real production constraints including a 20ms maximum inference time. How to handle high resolution time series data? Live EDA. Latency aware modeling Open Discussion / Q&A, Live walkthrough and submission.
  - [Session 3] - ADIA Lab Time Series Structural Break Modeling Challenge - 30min
    - Built with Marco Lopez de Prado’s team at ADIA Lab. Structural break concept, dataset and scoring, Top 2025’ Submission, Open discussion and Q&A, Live walkthrough and submission
  - [Session 4] - Synth - Crypto Derivatives on Bittensor - 30min
    - One of the highest paying Bittensor subnets today ($300k / month) in rewards for predicting Monte Carlo distributions of future crypto returns. Dataset and pipeline overview, distributional forecasting intuition, Open Discussion and Q&A, Live walkthrough and submission
  - [Session 5] - The Coordinator Framework - 30min
    - Crunch is selecting 5 teams to launch their own collective intelligence initiative and start gathering predictions from the community. Overview of tooling, incentives, and best practices for running production grade modeling markets on Crunch.
  - Why attend
    - You can read the docs anytime.
    - Accelerated submission to 4 tournament in one afternoon
    - If you want to understand how real modeling markets are built and what edge you could actually build from it, this is it.

Meetup #14 - 2026-03-21 - Decentralized AI Day (Vienna)

Free Registration on Luma - Link
Call for Presentations - Link

Survey for Upcoming Events

Hello everyone!

We’re reaching out to gather anonymous data on your location, which will greatly assist us in planning future Numerai community events.

Your support in providing this information would be much appreciated.

You can find the latest survey results below.

Here is the Google Form. Please share it with your fellow Numeratis.

Thank you!

Summary

Raw Data

About this App

Yet another Numerai community dashboard by Jo-fai Chow.

Acknowledgements

This hobby project was inspired by Rajiv's shiny-kmeans on 🤗 Spaces.

The Rnumerai package from Omni Analytics Group.

Source Code

GitHub: https://github.com/woobe/shiny-numerati

Hugging Face: https://huggingface.co/spaces/jofaichow/shiny-numerati/tree/main

Changelog

0.1.0 — First prototype with an interactive table output
0.1.1 — Added a functional Payout Summary page
0.1.2 — Payout Summary layout updates
0.1.3 — Added Raw Data
0.1.4 — Various improvements in Payout Summary
0.1.5 — Replaced corrV1 with corrV2
0.1.6 — Added apcwnm and mcwnm
0.1.7 — Added CoE Meetup GitHub page to Community
0.1.8 — Various improvements in Payout Summary
0.1.9 — Added Payout Sim based on new Corr and TC multipier settings
0.2.0 — Replaced Payout Summary with Performance Summary. Added KPIs summary
0.2.1 — Added KPI (All)
0.2.2 — Sped up chart rendering with toWebGL()
0.2.3 — Added new MMC - Ref: https://forum.numer.ai/t/changing-scoring-payouts-again-to-mmc-only
0.2.4 — Added MMC to Payout Sim
0.2.5 — Added more features related to MMC
0.2.6 — Added survey results - Ref: https://forum.numer.ai/t/around-the-world-with-numeratis-survey-for-upcoming-events
0.2.7 — Removed KPI (C&T) and Payout Simulation
0.2.8 — Changed filter starting round to 650 (first round of new payout scheme)
0.2.9 — Added KPI (C&M) for CorrV2 and MMC performance analysis

Shiny Numerati

Community Dashboard for the Numerai Classic Tournament

Step 1: Select Your Models

First, click this ⬇

Step 2: Download Data

Next, click this ⬇ (it may take a while)

Performance Summary

Remember to refresh the charts after making changes to model selection or settings below.

NOTE: the charts may take a while to render if you have selected a lot of models.

Step 4: Adjust the Filter

Step 5: Generate Summary

Pick ONE of the KPIs:

Cumulative

Hide Pending

Facet

Notes:

Download Raw Data

Wanna run your own analysis? No problem.

Remember to select your model(s) first.

Numerai Coummunity

Around the World with Numeratis

Overview

Goals

What's Here?

Enjoy :)

Materials from CoE Sponsored Meetups

Luma and Blog

Meetup Goals

Meetup #1 - 2022-07-16 - London

Meetup #2 - 2022-09-24 - New York City

Meetup #3 - 2023-04-08 - Tokyo

Meetup #4 - 2023-07-08 - Prague

Meetup #5 - 2023-10-14 - Toronto

Meetup #6 - 2024-01-16 - San Francisco

Meetup #7 - 2024-04-27 - Frankfurt

Meetup #8 - 2024-07-20 - Tokyo

Meetup #9 - 2024-11-11 - Bangkok - Meetup @ Superintelligence Summit

Meetup #10 - 2025-03-29 - Decentralized AI Day (Seattle)

Meetup #11 - 2025-05-17 - Decentralized AI Day (Tokyo)

Meetup #12 - 2025-09-20 - Decentralized AI Day (Vienna)

Meetup #13 - 2026-01-27 - Decentralized AI Day (San Francisco)

Meetup #14 - 2026-03-21 - Decentralized AI Day (Vienna)

Survey for Upcoming Events

Summary

Raw Data

About this App

Yet another Numerai community dashboard by Jo-fai Chow.

Acknowledgements

This hobby project was inspired by Rajiv's shiny-kmeans on 🤗 Spaces.

The Rnumerai package from Omni Analytics Group.

Source Code

GitHub: https://github.com/woobe/shiny-numerati

Hugging Face: https://huggingface.co/spaces/jofaichow/shiny-numerati/tree/main

Changelog

0.1.0 — First prototype with an interactive table output

0.1.1 — Added a functional Payout Summary page

0.1.2 — Payout Summary layout updates

0.1.3 — Added Raw Data

0.1.4 — Various improvements in Payout Summary

0.1.5 — Replaced corrV1 with corrV2

0.1.6 — Added apcwnm and mcwnm

0.1.7 — Added CoE Meetup GitHub page to Community

0.1.8 — Various improvements in Payout Summary

0.1.9 — Added Payout Sim based on new Corr and TC multipier settings

0.2.0 — Replaced Payout Summary with Performance Summary. Added KPIs summary

0.2.1 — Added KPI (All)

0.2.2 — Sped up chart rendering with toWebGL()

0.2.3 — Added new MMC - Ref: https://forum.numer.ai/t/changing-scoring-payouts-again-to-mmc-only

0.2.4 — Added MMC to Payout Sim

0.2.5 — Added more features related to MMC

0.2.6 — Added survey results - Ref: https://forum.numer.ai/t/around-the-world-with-numeratis-survey-for-upcoming-events

0.2.7 — Removed KPI (C&T) and Payout Simulation

0.2.8 — Changed filter starting round to 650 (first round of new payout scheme)

0.2.9 — Added KPI (C&M) for CorrV2 and MMC performance analysis

Session Info

0.1.1 — Added a functional `Payout Summary` page

0.1.2 — `Payout Summary` layout updates

0.1.3 — Added `Raw Data`

0.1.4 — Various improvements in `Payout Summary`

0.1.5 — Replaced `corrV1` with `corrV2`

0.1.6 — Added `apcwnm` and `mcwnm`

0.1.7 — Added CoE Meetup GitHub page to `Community`

0.1.8 — Various improvements in `Payout Summary`

0.1.9 — Added `Payout Sim` based on new Corr and TC multipier settings

0.2.0 — Replaced `Payout Summary` with `Performance Summary`. Added KPIs summary

0.2.1 — Added `KPI (All)`

0.2.2 — Sped up chart rendering with `toWebGL()`

0.2.3 — Added new `MMC` - Ref: https://forum.numer.ai/t/changing-scoring-payouts-again-to-mmc-only

0.2.4 — Added `MMC` to `Payout Sim`

0.2.7 — Removed `KPI (C&T)` and `Payout Simulation`

0.2.9 — Added `KPI (C&M)` for CorrV2 and MMC performance analysis