The ForecastOS Blog (Page 2)

The ForecastOS Blog

Sign in Subscribe

More issues

Forecasting VIX with Hivemind

This post explores creating custom ForecastOS Hivemind factors to forecast 10-(trading)-day changes to VIX. By the end of this post, we'll have a model that predicts 10-trading-day forward changes to VIX during our test period (last ~2 years) with: * 63.8% hit rate (directional accuracy), * 13.2% R²

Hivemind Trends: April 20 to 27

Hivemind leverages advanced AI to process content from top podcasts and other media sources, identifying and analyzing tens of thousands of emerging trends. While Hivemind is available to ForecastOS clients only, we’re making weekly research summaries available to all readers for the next several weeks. Five noteworthy Hivemind trends

Hivemind Trends: April 13 to 20

Hivemind leverages advanced AI to process content from top podcasts and other media sources, identifying and analyzing tens of thousands of emerging trends. While Hivemind is available to ForecastOS clients only, we’re making weekly research summaries available to all readers for the next several weeks. -- Five noteworthy Hivemind

Hivemind Trends: April 6 to 13

Hivemind leverages advanced AI to process content from top media sources, identifying and analyzing tens of thousands of emerging trends. While Hivemind is typically available only to ForecastOS clients, we’re making this weekly research open to all readers for the next several weeks. -- Six noteworthy Hivemind trends from

Introducing the ForecastOS Hivemind Weekly Research Series: Open Access for a Limited Time

We’re excited to announce the start of a new research initiative: the ForecastOS Hivemind Weekly Series. Each week, we’ll publish key insights from the ForecastOS Hivemind dataset, highlighting the most noteworthy global themes and trends as they evolve in real time. Hivemind leverages advanced AI to process content

ForecastOS Welcomes Charlie Feng to Board of Directors

ForecastOS is pleased to announce the appointment of Charlie Feng to its Board of Directors, effective immediately. Mr. Feng brings extensive experience in technology and financial innovation to the board, having co-founded both Clearco (previously known as Clearbanc), a leading fintech platform (backed by Softbank and Emergence), and Agora (backed

Tailoring Investment Strategies With InvestOS

"With our software, tools, and expertise, this exercise could be repeated to tailor any institutional investment strategy to any unique client mandate or market demand." In this article, we are going to showcase using InvestOS to tailor an existing investment strategy to a hypothetical investment mandate with specific factor, thematic,

Using ForecastOS and InvestOS For Quant Investing: So Easy, an Intern Can Do It

Welcome to Weekly Roundup #20 at ForecastOS! We're glad to have you here, following our journey :) Note: this article was written by our summer intern, Callum Baker; we hope you enjoy it! Hello ForecastOS subscribers! My name is Callum, I am a mathematics and engineering student at Queen’s University,

Build an AI-Powered Investment Strategy with ForecastOS: Live Demo

In the below ~13 minute video, we build and backtest an ML-powered market and factor neutral quantitative investment strategy using: * ForecastOS FeatureHub (paid) * ForecastOS open-source (free) * InvestOS open-source (free) It's fast, performant, and easy to customize / extend; what used to take an entire team a full year now takes minutes!

What Is Your Dataset Worth?

Institutional investors want to use your data to train AI to beat the market. Naturally, you want to know: how much is your dataset worth? To decide what your dataset is worth to a quantitative investor, let's consider what the dataset will be used for: investing. The inputs to a

About

The ForecastOS Blog

Updates from the ForecastOS.com team; we make financial forecasting simple whether you’re an engineer, data scientist, or non-technical executive

Topics

news

quantathemental

weekly roundup