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Earlier sources: Markets
Markets connect capital, goods, services, and labor. This region follows economic developments, public markets, venture capital, fintech, and commerce. Source attention does not constitute financial advice or forecast investment returns.
SYMTRI organizes observations from public sources into a living map. Connections reflect shared subject matter; they do not establish causation or endorse a source.
Open in the map ↗250 classified signals in the fourteen-day window. Recent momentum: steady. These counts include signals awaiting readable evidence.
Earlier sources
Up to ten sources with readable evidence, ordered by their feed timestamp. These archive sources can be older than the live fourteen-day window. This list is a sample, not a measure of total activity. Dates distinguish paper publication, repository creation, model/dataset activity, Hacker News posts, and KEV catalog additions. “First archived” records when SYMTRI first stored the signal.
- Hacker News · Posted on Hacker News · First archived
DeepSeek has 64% market share ↗
Hacker News discussion.
- arXiv · Published · First archived
Evolution of Market Microstructure in the Age of AI ↗
Market microstructure studies how trading rules turn orders into prices and allocations. Those rules have been rebuilt repeatedly: for floor traders, electronic limit order books and high-frequency trading, batch auctions and dark pools, blockchains run by automated market makers and block builders, and now AI agents that discover, pay for, and compete over resources. This survey traces that evolution through one question: can a market allocate scarce goods efficiently and fairly without participants revealing everything they know and want? Each technological shift moved the binding constraint…
- Hacker News · Posted on Hacker News · First archived
Could an iced coffee freeze you out of the job market? ↗
Hacker News discussion.
- Hacker News · Posted on Hacker News · First archived
Cash Is King in San Francisco Real Estate. All-Cash Buyer Market at 20 Year High ↗
Hacker News discussion.
- arXiv · Published · First archived
Packets, Transactions and Queues: Design Principles for HFT Systems from a Measurement Study of CME Market Data ↗
HFT systems are conventionally built as a single-threaded event loop, on the rule that every thread hop adds latency. We test that rule against a measurement study of more than a year of CME market data for the NQ front-month contract, following every packet and matching-engine transaction through the feed's two exchange timestamps, and checking the results against a live production receiver. Packets arrive in near-critical self-exciting clusters that belong to the matching engine's transactions, not to how the exchange packs them. The engine often processes consecutive transactions within a f…
- arXiv · Published · First archived
Forecasting Intraday USD/CAD Exchange Rate with News-Derived Monetary-Policy Signals ↗
Monetary-policy announcements and central-bank communications play a central role in foreign exchange markets, yet their qualitative, unstructured form makes their forecasting value difficult to quantify. While prior research has largely focused on sentiment extracted from financial news, comparatively little is known about the relative contribution of different dimensions of monetary-policy communication. Existing studies primarily evaluate whether textual information improves overall forecasting performance but provide limited insight into which communication channels drive such improvements…
- arXiv · Published · First archived
Self-Evolving Multi-Agent Symbolic Discovery for Financial Fundamental Analysis ↗
While symbolic regression (SR) has been successfully used in science to discover new equations, its use in financial valuation is hindered by several limitations. Whereas the natural sciences provide objectively correct relationships, financial valuation constitutes a distinct class of symbolic discovery problems, as it admits multiple valid perspectives, operates under non-stationary market conditions, and involves noisy, continuous performance signals. In this work, we propose Multi-Agent Fundamental Analysis with Symbolic Adaptive learning (MUFASA), a hierarchical multi-agent framework for…
- GitHub · Repository created · First archived
SaiVatsal/Virtual-Stock-Market-Prices-Live-Update---2 ↗
Open-source repository in TypeScript.
- OpenAlex · Published · First archived
Integrating flexible service times and collection-and-delivery points into the first-last mile e-commerce distribution network design in mountainous rural areas ↗
First-last mile e-commerce distribution in mountainous rural areas incurs higher costs and significant negative environmental impacts due to sparse populations and ecological fragility. While collection-and-delivery points (CDPs) and periodic service effectively address these issues, the literature seldom integrates the two and even less frequently considers service time flexibility, which may lead to limited operational flexibility and resource utilization. To bridge this gap, we explore the periodic location-routing problems with flexible service times and CDPs (PLRP-FC), and formulate a non…
- Hacker News · Posted on Hacker News · First archived
Market making PnL theoretical limits ↗
I have more or less working more or less market making algorithm (eat the spread). It works extremely well at 1 lot trades, but once you increase the volume profits reach maximum at some point once you do significant turnover compared to the rest. It's kinda obvious, you got adverse selected more and more. What bothers me - maybe I simply quote inefficiently? I tried a lot of of approaches (imbalance, skewing, VWAP, hand crafted signals), and at…
Live window recorded . This is the ingestion observation time, not the publication or discovery date of each source.
How to assess evidence about Markets
Check each original source for its methods, release status, limitations, and supporting data. A repository announcement, a preprint, and a published study provide different kinds of evidence. SYMTRI’s subject classification helps discovery; it does not independently validate the source’s claims.
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