少点错误 2024年10月17日
Launching Adjacent News
index_new5.html
../../../zaker_core/zaker_tpl_static/wap/tpl_guoji1.html

 

Adjacent News 是一家新兴媒体公司,致力于利用预测市场和预测平台为新闻提供更多背景信息。它通过预测市场中的赔率变化生成新闻,并提供交易和数据平台。Adjacent News 提供两种类型的新闻:已发布新闻和上下文新闻。已发布新闻包括基于赔率变化而生成的新闻,以及来自不同作者和预测师的原创内容。上下文新闻则在用户阅读新闻时提供相关市场信息。此外,Adjacent News 还提供交易和数据平台,帮助用户进行预测市场交易和分析数据。

🤔 **已发布新闻:** Adjacent News 生成基于预测市场赔率变化的新闻,并发布原创内容。内容通过多种渠道传播,包括 Adjacent News 网站、RSS、X/Twitter 和 Telegram 频道。

📰 **上下文新闻:** Adjacent News 提供 Chrome 扩展程序和 RSS 阅读器,在用户阅读新闻时提供相关市场信息,例如在 Twitter/X 帖子和热门新闻网站(如 NYT、WSJ、Reuters 等)中显示市场赔率。

📈 **交易:** Adjacent News 的 trade.adj.news 平台允许用户在多个平台上图表任何市场,并使用标准的交易和图表工具进行分析。

📊 **数据:** Adjacent News 的 data.adj.news 平台提供历史数据、相关新闻、趋势数据和市场相关新闻。

💻 **产品:** Adjacent News 提供多种产品,包括 Chrome 扩展程序、数据平台、RSS 阅读器、交易图表工具、笔记本和 API。

🚀 **路线图:** Adjacent News 的未来路线图包括集成更多平台和市场、推出类似 DBNews 或 SpectatorIndex 的快速新闻报道服务、将预测市场集成到 trade.adj.news 平台中,以及考虑推出非自动化的观点型新闻专栏。

🤝 **支持和反馈:** 用户可以通过会员资格、捐赠或直接联系团队来支持 Adjacent News。

Published on October 16, 2024 5:58 PM GMT

Forward Looking News Driven by Prediction Markets and Forecasting Platforms

Prediction markets and forecasting platforms are an incredible news source, are interesting to trade, and provide tons of unique data:

    News: Driving news by changes in market odds and providing context to news you readTrade: Put on a position directly on an event, not something that is relatedData: How have similar past events played out, how good is an individual/platform at predicting/forecasting a specific category of events

Adjacent News is a new-age media venture that is focused on using prediction markets and forecasting platforms to add context to the news you already read, where you read it. Generate news that is driven by changes in the markets and provide trading and data platforms.

Verticals

News

We have two categories: Published and In Context News.

Published News - articles that we produce and distribute, this is mostly through generation of content based on shifts in odds across various markets but also features original content from various writers and forecasters. Content is distributed via Adjacent News, RSS, X / Twitter, and via a Telegram Channel

We are exploring other methods of distribution like Apple News, Google News, Farcaster, etc. If you have any ideas for other distribution methods email us at code>lucas@adjacentresearch.xyz</code

In Context News - We meet you were you consume news and provide contextual information about related markets. This comes in the form of Chrome Extension and an RSS Reader. 

Trade

Many prediction market and forecasting platforms have similar markets, if they are "real money" there are potential arbitrages. Our TradingView interface at trade.adj.news lets you chart any market from multiple platforms over each other and analyze it with standard trading and charting tools. 

Data

It can be hard to find historical data on markets, view related markets intra and cross platform, and see relevant news to the markets you are trading and/or forecasting. 

data.adj.news supports historical, related, trending, and news related to markets across top platforms with more being added soon.

Products

Chrome Extension

Market odds provided in context below tweets in your timeline

Data Platform

RSS Reader

NYT post with related markets 

Trade

Chart markets across platforms together, the easiest way to view market data. 

will-donald-trump-win-the-2024-us-presidential-election

Notebooks

An easy way to explore market data via Observable, simply fork the market data and create data visualizations that are easy to share out. Perfect for quick analysis of a market and sharing as a blog post. 

API

Want to build your own integration? We support querying 40k+ markets across various platforms, fetching related news, and related markets for them.

Everything we are building is open-source and can be found at https://github.com/orgs/adjacentresearchxyz/repositories?q=adj.news

if you would like to read news driven by markets, receive extra context to the news you read, and explore prediction market and forecasting platform data you can sign up at here.

Team and Roadmap

Currently the team is just me Lucas Kohorst (X, Website). I have built many open source projects which can be found on my Github and via Adjacent Research. I have written about prediction markets under Ramblings on Event Markets and attended Manifest last year!

Roadmap

A lot of members of the forecasting community are likely familiar with Base Rate Times who is / was focused on a lot of the same concepts we are. “News Aggregation”, “538 for prediction markets”, “Forecasts being underutilized by the media”.

While we are solving for the same problem: Discoverability of prediction markets, using markets as a way to easily produce forward looking news and provide context to current news...

We are approaching it significantly different. Adjacent is focusing on

    Building a robust data platform and API across various exchanges and platforms, aggregating all the markets that existAdding context via markets to the news that you currently read, wherever you read.
      We use vector embeddings to match up any headline / article with any related market and show them to you
    Generating our own news based on market movements

Our goal is to be a media company that is producing news content driven by prediction markets and the go to data platform for checking market odds and related news across a variety of exchanges.

Our future roadmap consists of

Support and Feedback 

Membership

The best way to support us is through a membership, which you can subscribe to here. It gives you

Donations

You can directly donate / tip to support our work here

Prior Funding

We have previously received $1k from a Manifund Round and are considering applying to other grants like Emergent Ventures. We would greatly appreciate any suggestions or intros for grants!

Feedback

If you are interested in this project, have questions, feedback, would like to explore a partnership or generally just want to chat you can reach me at via mail at u>lucas@adjacentresearch.xyz</u, on X at https://twitter.com/0xperp, or via Telegram at t.me/lucaskohorst.



Discuss

Fish AI Reader

Fish AI Reader

AI辅助创作,多种专业模板,深度分析,高质量内容生成。从观点提取到深度思考,FishAI为您提供全方位的创作支持。新版本引入自定义参数,让您的创作更加个性化和精准。

FishAI

FishAI

鱼阅,AI 时代的下一个智能信息助手,助你摆脱信息焦虑

联系邮箱 441953276@qq.com

相关标签

预测市场 新闻 数据平台 交易 Adjacent News
相关文章