In the evolving landscape of finance and investment, the quest for an edge over the competition is relentless. Traditional data sources, while still vital, are no longer enough. But what exactly is alternative data, and why has it become such a buzzword in the financial world? 

Alternative data refers to non-traditional data sources that can provide unique insights and a competitive advantage. 

This article gives you an overview of alternative data, how it’s utilized in finance, particularly by hedge funds, and touches upon the diverse types and examples of alt data available today. Whether you’re an investor, financial analyst, or just curious about the intricacies of modern finance, understanding alternative data can open new doors for smarter decision-making.

At PassBy, we provide unmatched market accuracy with a 94% correlation to ground truth. Our service integrates over 15 data inputs, offering a comprehensive 90-day predictive feed. Schedule a call today.

Foot traffic 

Location data in finance becomes a vital asset. By using this data, you’re able to tap into insights about potential customer volume. You can discern patterns, such as peak times visitors frequent certain areas, and tailor investment accordingly. 

With the advent of technologies that track anonymized human movements, businesses now have unprecedented access to precise, large-scale datasets. Think of it as peering into a treasure trove of consumer insights that allow for more informed decisions.

Web scraping 

Web scraping involves extracting large amounts of information from websites. This data can include product prices, consumer reviews, and even job postings. For finance professionals, such data can provide insights into market trends, consumer behavior, and economic activity at a granular level. 

Credit card transactions 

Aggregated and anonymized credit card transaction data offers a real-time look into consumer spending habits. This data helps analysts track industry performance, forecast the earnings of retail companies, and assess the impact of economic policies on consumer behavior. 

Mobile app usage 

Mobile app usage data reveals insights about consumer preferences and behaviors. For example, increased usage of food delivery apps might indicate a trend that could affect restaurant stocks. Similarly, a surge in downloads of a fitness app could suggest a rising interest in the health and wellness sectors. 

Weather data 

Weather data might not seem immediately relevant to finance, but it can be incredibly influential. For instance, hedge funds might use weather forecasts to predict agricultural yields and their subsequent impact on commodity prices. Similarly, retail businesses could adjust their inventory based on seasonal weather patterns. 

Satellite imagery 

Hedge funds often use alt data to predict industry trends and spot investment opportunities before they appear on the radar of mainstream investors. 

For example, data from satellite imagery might show that a company’s factory is unusually quiet, signaling potential operational issues before any official announcements are made. 

This data plays an important role in decision-making. Analytics and other data products from satellite imagery are projected to be a $2.2 billion annual business by the end of the decade, according to NSR’s Big Data Analytics Via Satellite annual report. 

Flight tracking 

One fascinating use case is tracking private jet flights, like those monitored by Quandl. This kind of data can alert hedge funds to executive meetings or high-level negotiations, offering invaluable insights into potential mergers, acquisitions, or business expansions. 

Sentiment analysis 

Another key application is sentiment analysis. By analyzing social media and web traffic, hedge funds can gauge public opinion about a company or product in real-time.

This sentiment can be a leading indicator of stock price movements, allowing funds to make informed decisions faster than the competition. 

A study on stock price predictions using sentiment analysis predicted Apple stock with 75.38% accuracy.  Though researchers suggested that the sentiment analysis performed better over a longer-term versus a shorter-term. 

AI-powered predictive insights 

By leveraging Artificial Intelligence (AI), financial analysts and hedge fund managers can identify patterns and trends that human eyes might overlook. 

85% of asset managers are currently using AI to inform their investing decisions – why are asset managers so keen to use this new technology and should you follow suit? In short, Ai-powered insights enable more accurate predictions of market movements, company performance, and economic indicators. 

Additionally, AI’s real-time analysis offers a considerable edge. As markets move rapidly, having immediate access toactionable insights can mean the difference between capitalizing on an opportunity and missing it entirely. Hedge funds use these real-time insights to fine-tune their strategies on the fly, adapting to market conditions swiftly and effectively. 

Ultimately, by integrating diverse alt data streams into their analytical frameworks, hedge funds, investors, and asset managers become more adept at navigating market volatility and uncovering hidden opportunities. This multi-faceted approach allows them to maintain a strategic edge in an increasingly data-driven financial landscape.

Benefits of alt data

Traditional data alone can lack immediacy and further context. Alternative data works alongside traditional data, not entirely replacing it, but adding insights and context to guide decision making. Through alt data, investors can find hidden trends, use predictive insights, and be confident in investment choices. 

Alternative data offers a multitude of advantages that can significantly enhance financial analysis and decision-making processes including: 

• Immediacy: Traditional data sources such as quarterly reports can lag behind real-time information. Alt data can offer insights into the daily, monthly, and yearly situation of a business to create a clearer picture. 
• Frequency: Unlike conventional quarterly reports, alternative data can be updated more frequently. This continuous stream of information allows for dynamic analysis and more timely adjustments in strategy. For example, we have 15 data inputs and over 6 billion daily processed data points. 
• Context: Alternative data adds layers of context to traditional financial metrics. For example, credit card transaction data can provide insights into consumer behavior well before earnings reports are published. 

By incorporating alternative data, financial analysts and hedge funds can gain a more comprehensive view of the market. This enhanced perspective allows for better risk management, more accurate forecasting, and ultimately, improved investment performance.

Challenges of using alternative data

While alternative data offers numerous benefits, it also brings its own set of challenges. Below are some of these challenges and how to overcome them. 

Privacy concerns 

Alternative data can pose privacy concerns. Personal information derived from sources like social media or mobile app usage must be handled with care to prevent breaches of privacy laws and to protect individual rights. 

Solution: Seek an alt data provider that has anonymized and aggregated data, complies with data protection laws, and puts privacy first. 

Endless choice 

Alt data comes in many shapes and sizes. One of the major challenges investors face is seiving through the mass of alt data providers to find accurate and actionable data sets. 

In a 2023 report, Deloitte found that the number of alternative data sets applicable to financial services increased by about 36% over the past two years, while the number of alternative data providers increased by about 30% over the same period. 

Solution: Quality over quantity. It’s easy to get lost in the noise of alt data. Set out clear goals of what you want the data to do and let that guide you. If you want predictive insights on a business’s market performance, few datasets can compete with foot traffic. If you want to understand consumers, then look for demographic and psychographic datasets. 

Interpretation and interpretation 

Extracting actionable insights from alternative data requires sophisticated analytical tools and skilled analysts. The ability to correctly interpret the data correlates directly with the value it can provide. 

Integrating alternative data into existing systems can also be complex. Many firms may lack the infrastructure to efficiently handle and process large volumes of diverse data sets. Developing or acquiring the necessary technology and expertise can be both time-consuming and costly. 

Solution: Making sure you can gain actionable insights and interpret the data is essential. To do this, firms need to look for alt data providers with a suitable platform or tool. Asking for a demo is the fastest way to analyze whether it’s the type of tool you need. 

Where to find alternative data 

Finding reliable sources for alternative data can be critical for your investment strategy or business decision-making process. There are several go-to places where you can obtain high-quality data, such as alternative data providers.

Data provider platforms aggregate data from various sources making it accessible all in one place. 

At PassBy, we provide unmatched market accuracy with a 94% correlation to ground truth. Our service integrates over 15 data inputs, offering a comprehensive 90-day predictive feed. Schedule a call today.