Stocky
Stocky is a MacOS native application for fetching and analysis of stock market trading data.
Stocky is a market screening and analysis tool that helps investors identify opportunities by filtering candidate pools using criteria such as 3-year return, 5-year return, moving averages, volume, and other market metrics. It also includes interactive charting, deviation analysis from sliding-window averages, and probabilistic price movement models based on historical trading data.
Market analysis. Native MacOS.
Development Updates
June 29, 2026
Users can now filter Instruments within Workspaces to narrow the field down. Currently supported are 3Y min/max return, 5Y min/max return and traded Volume. More filters coming soon!
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June 21, 2026
Added the ability to create and edit Instrument lists that are used by the screener.
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June 17, 2026
Added the ability to have multiple workspaces open simultaneously, allowing for a less cluttered and more useful view of the market.
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June 9, 2026
Added the ability to render multiple graphs for comparison between instruments.
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June 1, 2026
We now have candlesticks rendering on the 1M graph view.
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May 29, 2026
So I ran into a bunch of difficulty styling the table and search box dark and I didn't want to invest any more time into it as I had other features I wanted to get done first, so I ended up implementing a System theme, using MacOS defined colours.
No
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May 25, 2026
First pass at creating custom themes, started with an implementation of Gruvbox Dark, which is my favourite for editing / terminal sessions.
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May 21, 2026
Adds the ability to export the current view as a vanilla .csv file, which can then be imported into other applications for further analysis, charting, custom reporting, or integration with external tools.
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May 20, 2026
Added the ability to define lists of symbols that can be loaded / unloaded via the UI.
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May 16, 2026
Searching is now supported, and additionally the search string can be comma separated to narrow the view down to show less instruments at a time and make the view less confusing.
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May 15, 2026
First cut at adding colour rendering to the table cells, indicating trend with colour.
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March 20, 2026
SwiftUI is working. Replaced all the original C++ backend with Swift, and connected to SwiftUI, so it's now natively rendering.
I did run into an issue with some SwiftUI limitations, mainly that the grid view is limited to 10 columns, which meant
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March 5, 2026
Directional Pattern Model
[10: 30%D 10%d 0%u 60%U]
The Directional Pattern Model is a variant of the existing Trend Pattern Model, except it adds more granularity. Instead of just tracking ups and downs, it tracks Big Ups and Big Downs and Small
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March 4, 2026
Trend
[↑↑↓↑↓[45]: 40%↑ 60%↓]
Experimenting with a trend pattern model. This is conceptually similar to a Markov chain in that it attempts to estimate the probability of the next state based on the current sequence of states. But it doesn't build
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February 13, 2026
We are live. Currently is command line only and pretty much everything is hardcoded, but it can now fetch, rank and render 30, 60 and 90 day deltas, as well as trend and directional pattern model.
Investment instruments are inverse ranked using a w
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