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AESO
ATLANTIC ENERGY SLTNS INC
stock OTC

Inactive
Sep 23, 2025
0.0050USD+38.889%(+0.0014)1,500
Pre-market
0.00USD-100.000%(0.00)0
After-hours
0.00USD0.000%(0.00)0
OverviewHistoricalExchange VolumeDark Pool LevelsDark Pool PrintsExchangesShort VolumeShort Interest - DailyShort InterestBorrow Fee (CTB)Failure to Deliver (FTD)ShortsTrends
AESO Reddit Mentions
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We have sentiment values and mention counts going back to 2017. The complete data set is available via the API.
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AESO Specific Mentions
As of Jul 29, 2026 12:49:39 AM EDT (1 min. ago)
Includes all comments and posts. Mentions per user per ticker capped at one per hour.
159 days ago • u/Sea-Soil-440 • r/quantfinance • moving_from_blueprint_to_build_starting_an • B
Hi all. I've just begun my first proper python project after self learning the past few months and am looking for some feedback on the initial coding stage.
The project's goal is to bridge the gap between retail and institutional traders in the Alberta energy market by creating an open-source data engine for real-time AESO tracking. (AESO API contains tons of tools for real time info gathering within multiple sectors) The eventual goal is to value companies based off of their key resource pipeline factors from the API using advanced logic. (Essentially to isolate key variables tied to a stocks fluctuation to identify buy + sell indicators).
I'm currently working on the initial testing for the AESO API and the documentation seems to be lacking and I can't seem to figure out the initial linkage. (Uses Microsoft Azure)
On top of the initial linkage, I’m also looking for feedback on implementation: If you have experience with Azure APIs or building valuation models, I’d greatly appreciate a quick look at my current repo.
GitHub: [https://github.com/ada33934/ARA-Engine](https://github.com/ada33934/ARA-Engine)
If you're interested in retail trading data and want to help build a niche tool from the ground up feel free to reach out.
sentiment 0.96
159 days ago • u/Sea-Soil-440 • r/quantfinance • moving_from_blueprint_to_build_starting_an • B
Hi all. I've just begun my first proper python project after self learning the past few months and am looking for some feedback on the initial coding stage.
The project's goal is to bridge the gap between retail and institutional traders in the Alberta energy market by creating an open-source data engine for real-time AESO tracking. (AESO API contains tons of tools for real time info gathering within multiple sectors) The eventual goal is to value companies based off of their key resource pipeline factors from the API using advanced logic. (Essentially to isolate key variables tied to a stocks fluctuation to identify buy + sell indicators).
I'm currently working on the initial testing for the AESO API and the documentation seems to be lacking and I can't seem to figure out the initial linkage. (Uses Microsoft Azure)
On top of the initial linkage, I’m also looking for feedback on implementation: If you have experience with Azure APIs or building valuation models, I’d greatly appreciate a quick look at my current repo.
GitHub: [https://github.com/ada33934/ARA-Engine](https://github.com/ada33934/ARA-Engine)
If you're interested in retail trading data and want to help build a niche tool from the ground up feel free to reach out.
sentiment 0.96


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