Ryan Mahon (@ryanpmahon) 's Twitter Profile
Ryan Mahon

@ryanpmahon

Nature is the perfect design. Simplify

ID: 3135174015

linkhttps://crowdcent.com calendar_today04-04-2015 21:53:07

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Ryan Mahon (@ryanpmahon) 's Twitter Profile Photo

Douglas A derivative that many miss is that with these system conditions, high ST rates are the DRIVER of both the K-shape economy and concentration in markets

CrowdCent (@crowdcent) 's Twitter Profile Photo

cc-liquid update: backtesting is here. New `analyze` and `optimize` commands let you evaluate and tune L/S portfolios for Hyperliquid driven by Numerai or CrowdCent metamodels. 1) `analyze`: run historical backtests with fees, slippage, prediction lag, and rebalance

cc-liquid update: backtesting is here. New `analyze` and `optimize` commands let you evaluate and tune L/S portfolios for <a href="/HyperliquidX/">Hyperliquid</a> driven by <a href="/numerai/">Numerai</a> or <a href="/CrowdCent/">CrowdCent</a> metamodels.

1) `analyze`: run historical backtests with fees, slippage, prediction lag, and rebalance
CrowdCent (@crowdcent) 's Twitter Profile Photo

We just shipped a complete metamodel exploration system for CrowdCent's hyperliquid-ranking metamodel. View and analyze the wisdom of the crowd's predictions for every perpetual listed on Hyperliquid New capabilities: → Individual asset analysis with full time series data →

We just shipped a complete metamodel exploration system for CrowdCent's hyperliquid-ranking metamodel. View and analyze the wisdom of the crowd's predictions for every perpetual listed on <a href="/HyperliquidX/">Hyperliquid</a> 

New capabilities:
→ Individual asset analysis with full time series data
→
Ryan Mahon (@ryanpmahon) 's Twitter Profile Photo

"Happiness is in making things rather than in consuming them" - Will Durant Creation over consumption. x.com/ryanpmahon/sta…

CrowdCent (@crowdcent) 's Twitter Profile Photo

We continue to transform cc-liquid, our open-source meta-model trading framework for turning crowdsourced signals into live Hyperliquid portfolios. Today: Rank-powered position sizing 🎛️ Before: Equal weight everything (1/N for all, boring) After: Signal-strength-based

We continue to transform cc-liquid, our open-source meta-model trading framework for turning crowdsourced signals into live <a href="/HyperliquidX/">Hyperliquid</a> portfolios.

Today: Rank-powered position sizing 🎛️

Before: Equal weight everything (1/N for all, boring)
After: Signal-strength-based
Jason Rosenfeld (@jrosenfeld13) 's Twitter Profile Photo

I made an example notebook for the Numerai Crypto tournament and CrowdCent hyperliquid-ranking challenge to take you from zero to building your very own machine learning training dataset in only a few minutes using data from EODHD APIs Link to notebook below 👇

I made an example notebook for the <a href="/numerai/">Numerai</a> Crypto tournament and <a href="/CrowdCent/">CrowdCent</a> hyperliquid-ranking challenge to take you from zero to building your very own machine learning training dataset in only a few minutes using data from <a href="/eodhd_apis/">EODHD APIs</a> 

Link to notebook below 👇
CrowdCent (@crowdcent) 's Twitter Profile Photo

So you want to be a Crypto Quant? First, a few pre-requisites. You: 1) Have basic knowledge of Python 2) Didn't go out a ton in high school Ready to continue with our new tutorial: Build your own custom, machine-learning-ready training datasets 🧵👇

AquaVis (@aquavisx) 's Twitter Profile Photo

Corollary to Niall Ferguson 'ancestor's' law: Any great power that spends more on the old than on the young risks ceasing to be a great power.