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Dan Calugar on the Role of Sentiment Analysis in Algorithmic Trading: Harnessing Market Emotions for Profit

The Startup Magazine

For years, traders have tried to predict how markets might react to certain breaking news information, for instance, based on whether those news items could result in particular assets increasing or decreasing in value, according to experienced investor Daniel Calugar.

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Who’s watching the algorithms? 3 Israeli startups predicting performance of AI models

VC Cafe

Data scientist know that the accuracy of the models to make predictions or recommendations, has to do with data quality/annotation and training of the algorithms, but most simply trust the data and thus create a blind spot. As more companies embrace AI for their needs, what happens when the algorithms start slipping?

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5 Things to know about algorithmic trading software

The Startup Magazine

With the traditional strategies in the market, traders are required not only to be quick and accurate with their decisions, but they must also learn to minimize their bias and to set their emotions aside when executing their orders. Using algorithmic trading software will help you avoid these biases. Source: Flickr.

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Match Algorithm and Inputs

SoCal CTO

One of the common questions that I commonly get is: Tony, what inputs should we use as the basis for our matching algorithm? How should the resulting algorithm use those inputs to form matches? Is the resulting algorithm okay to use in your startup? fit into a matching algorithm. This is classic filtering.

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6 Key Rules To Stay Competitive In The Digital World

Startup Professionals Musings

Algorithms and data are required to compete. Manual tracking and occasional surveys won’t keep you competitive in today’s high volume and rapidly changing market. You need a platform that is comfortable with the global scope of today’s market, with it’s wide range of social and economic cultures, trends, and needs.

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Using Generative AI to Drive Corporate Impact

TechEmpower

AI empowers businesses to craft more impactful marketing campaigns by utilizing data analytics for content personalization and market trend forecasting, thereby significantly enhancing campaign relevance and effectiveness. It also facilitates rapid prototyping, allowing for quicker iterations and thus shorter development cycles.

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53 Questions Developers Should Ask Innovators

TechEmpower

How will you be taking this to market? Do you have a custom algorithm or other technology? Often this ties to marketing support. How do we prioritize internationalization versus getting something to market? How can we leverage AI to get our product to market faster? Who are the other stakeholders involved?

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