Trading Technology Companies – With artificial intelligence and machine learning being adopted in almost every industry, business and investing are no exception.
With investors having access to vast amounts of traditional and alternative data, artificial intelligence and machine learning are ideally suited to improving the research process as they can distill billions of data points into actionable business insights.
Trading Technology Companies
Artificial intelligence and machine learning have many different applications in trading and investing, from sentiment analysis of textual data, stock classification, indexing, on-chain crypto analysis, and more.
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In this article, we’ve compiled a list of 8 companies that help investors leverage artificial intelligence and machine learning to improve their research processes.
To bring advances in AI technology to investors of all sizes, we created an AI investment research platform that combines stock and crypto asset fundamentals, alternative data, and machine learning-driven insights.
To do this, the platform extracts institutional-quality financial information from traditional and alternative sources. Below are some of the sources included in the app.
The data provider uses natural processing algorithms to analyze U.S. stock text data and extract the following information:
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Our machine learning-based strategies include Next Day Up/Down Probabilities, Multi-Day Rankings, and Predicted Stock Rankings.
Kavout is a company focused on applying artificial intelligence to stock-level predictive score trading. As explained in our article on how to use artificial intelligence to rank stocks:
Predicting stock rankings refers to the process of generating stock rankings based on various input data, trading signals and machine learning algorithms.
Stocks are scored between 0 and 9, with higher K-scores indicating a higher likelihood of performance. Quantitative buying firms overlay K levels onto their investment models as buy/sell signals. A higher K-score (7-9) assigned to an item indicates a higher likelihood of performance, while a lower K-score (1-3) indicates a lower likelihood of performance. Performance next month.
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Kavout is one of the other data sources available in the app, which you can see in the ranking score categories below:
…a research firm that creates customized datasets and algorithms for investment strategies, combining financial market experience with strong skills in statistics, machine learning, and natural language processing.
In addition to sentiment analysis, Brain Company’s machine learning algorithms are used to generate daily stock rankings based on expected future returns for approximately 1,000 stocks over 2, 3, 5, 10 and 21 days.
The ML Alpha score relates to how confidently a machine learning classifier predicts a stock’s top or bottom quintile return over the next N trading days (e.g., the next 21 days) and ranges from -1 to +1.
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Precision Alpha is another interesting company that provides mechanical marketing signals to over 85 international markets. As the company states on its website:
Precision Alpha uses six months of closing price measurements and machine mathematics to calculate precise closed-form expressions and numerically estimate market probability, market energy, market strength, market resistance, market noise, market heat, and market free energy.
PrecisionAlpha is another data provider in the application, which you can see in the Next Day Probability section below:
…is composed of dozens of different investment algorithms that go through over a million trading scenarios overnight to derive the subset with the highest probability of alpha during the next market cycle.
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Their AI trading advice comes from “Holly” who shares daily trading ideas with over 60% success rates and 2:1 profit margins.
Sentieo is a financial and business research platform that provides tools such as document search, stock database, data analysis and research management powered by artificial intelligence. For AI-powered document search, they use natural language processing (NLP) and advanced language algorithms to search millions of documents and speed up the search process.
Numerai describes itself as “the toughest data science summit on the planet.” The platform gives data scientists access to high-quality hedge fund data that is cleaned, standardized and ready for analysis. Data scientists can then take this data and apply machine learning to predict future price changes and send these predictions to their hedge fund teams. As a result of these predictions, the platform allows data scientists to stake their models and earn cryptocurrency based on performance.
IntoTheBlock is a data science company focused on applying advanced artificial intelligence and machine learning to provide actionable insights and trading signals for the crypto market. Their analytics platform includes:
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As shown below, the crypto section of the app displays data from IntoTheBlock, including a summary of crypto assets’ tokens and trading signals. Trademarks include:
While the fields of artificial intelligence and machine learning are growing rapidly, these are just a handful of companies using the technology to trade and invest. Although commercial artificial intelligence remains a niche field, there is no doubt that the application of machine learning in finance will continue to grow over the next decade. CME is the world’s most valuable stock brand, valued at $2.1 billion, retaining its top spot for the seventh consecutive year, according to leading brand valuation consultancy Brand Finance.
Leading brand valuation consultancy Brand Finance tests the 5,000 largest brands every year and publishes around 100 reports ranking brands across all industries and countries. The ten most valuable and strongest brands in the global exchange industry are included in the annual Brand Finance Exchanges 10 2022 ranking.
CME Group offers a broad range of products that enable the company to remain well positioned in different macroeconomic contexts. Increased market volatility is expected to help drive the company’s near-term growth, while recent acquisitions provide the brand with opportunities to enhance the value of its business.
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Brand Finance research shows that CME enjoys the highest reputation and brand strength among global exchanges. This brand strength must be leveraged to integrate acquisitions like NEX into the brand portfolio and maximize cross-selling opportunities.
“Activity driven by macroeconomic fluctuations is expected to support industry growth in the short term. However, in the longer term, there are opportunities for stronger exchange brands to have a competitive advantage in aspects that generate recurring revenue, such as analytics and market data.
Nasdaq is the fastest-growing stock market brand, with market value growing 73.2% to $1.7 billion. Nasdaq recently formed a joint venture with Citigroup, Goldman Sachs and Morgan Stanley to create a spin-off of Nasdaq Private Markets. According to the findings, the increased awareness noted by Nasdaq can also be attributed to joint ventures with these strong brands.
“Nasdaq’s financial outlook has improved over the past year, which has had a positive impact on the strength and value of the brand.”
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Nasdaq’s recent acquisition of Verafin in Q4 2020 also created value for the brand and subsequently increased its growth potential.
While Nasdaq is the fastest-growing brand on the list, it’s well ahead of the second-fastest-growing brand, Cboe, which saw its brand value grow 53% to $617 million. Cboe is a leading provider of market infrastructure and marketable products, delivering innovative trading, clearing and investment solutions to market participants around the world.
Overall, the value and strength of the top ten exchanges have increased. This is due to further research data on overall perceptions of public reputation. An important finding is the difference between brand strength and brand equity. Hong Kong Exchanges and Clearing (brand up 6% to $1.7 billion) is the region’s most valuable brand, while SGX is the region’s strongest. SGX enjoys high brand awareness and a strong reputation, allowing it to stay ahead of competition from its much larger regional rival Hong Kong Exchanges and Clearing.
This year’s rankings are supported by additional research conducted by Brand Finance on country branding and related soft power indicators. Perceptions of a country’s soft power in key areas such as trade, commerce and governance influence the relationship between perceptions of businesses with strong ties to a particular country or region, as well as perceptions of national airlines and nation brands. . Indicators of a country’s soft power score include the strength and stability of the national economy, the ease of business transactions, and the country’s future growth potential.
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The New York Stock Exchange is the world’s strongest stock market brand, rated AAA. In addition to calculating brand value, Brand Finance determines the relative strength of brands through a balanced scorecard that evaluates marketing investments, stakeholder equity and business performance. Brand Finance’s stock assessments are ISO 20671 compliant and incorporate original market research data from more than 100,000 respondents in more than 35 countries and nearly 30 industries.
As the world’s largest stock exchange, the NYSE provides established companies and entrepreneurs with the opportunity to raise capital and change the world. Its listed companies have formed a strong community, and the NYSE’s advanced trading technology increases the value of market liquidity.
Every year, brand valuation consultancy Brand Finance evaluates the 5,000 largest brands
