Qlib
github.comOrganize machine-learning experiments for quantitative investment research
Organize machine-learning experiments for quantitative investment research
Compare strategy experiments across assets, parameters and historical periods
Choose your own shares or use a managed investment portfolio
Track investments and examine account and portfolio performance
Compare Canadian funds and model portfolio allocations
Find drawn everyday scenes with free images and optional SVG purchases
Related illustration families with editable SVG and ready-to-place PNG files
Crypto purchases with quote controls and consolidated portfolio activity
PSD presentation scenes for packaging, branding and everyday objects.
Multichain portfolio charts with separate wallet and subwallet views
Link customer feedback and product strategy to prioritization, roadmaps, and delivery views.
Multi-asset wallet with portfolio sorting and fee controls
Choose how much of portfolio management to automate
Develop and compare trading strategies in a Windows backtesting workspace
Delegate an index portfolio or choose your own stocks and ETFs
Bring market research, news and security monitors into one workspace
Mix-and-match vector people for illustrated scenes
Combine print, packaging and outdoor scenes from related collections.
Use coordinated rendered PSD scenes for device and print presentations.
Find outdoor advertising scenes grouped by city and location.
Newsletter portfolio production with reusable templates, approvals and revenue operations
Analyze returns from imported investment histories
Create one reusable character identity and keep images, looks, scenes, and video connected in Pixfy Character Studio.
Connect product strategy, intake, capacity scenarios, roadmaps, and portfolio delivery.