The most advanced AI tools for research and analysis in the capital market
Updated: Oct 6
AI tools are evolving and improving with each passing day; it is hard to keep pace, and it often feels like no matter what we do, we cannot match the wave of innovation sweeping the globe. Some might find this disheartening, while others recognize that this change is inevitable and accept that there is little to be done about it. AI tools will continue to flood our world with their innovations.
I think the direction this is all heading is already clear: taking decision-making out of human hands and handing control over to third-party entities.
It seems like only yesterday that ChatGPT was merely a fun novelty; today, it is capable of reading financial reports, analyzing companies, searching for information worldwide, and even connecting to your investment account. In a few years, it will likely be making decisions for us as well. The question is not whether this will happen. The question is whether we will completely relinquish the wheel or use artificial intelligence to become better investors.
Yet, even if the future seems clear, not everyone is paying for AI tools or wants artificial intelligence to take over their decision-making. This article is written for them - for those who want to take control of their lives, guiding the AI while keeping their hands on the wheel.
Why do AI-driven research and analysis tools in the capital markets now require advanced technology?
While reading quarterly financial reports sufficed a decade ago, a single company today might release ten reports, hundreds of articles, and thousands of tweets in a single week. No human being can keep up with all this information - and this is precisely where AI tools come into play.
In the modern era, the capital market has evolved into a more dynamic and complex environment, where rapid technological advancements impact every aspect of trading and investment.
Advanced technological tools - such as data analytics platforms, sophisticated algorithms, and machine learning - have become a cornerstone of the research and analysis process.
With these tools, investors can analyze vast amounts of data in real time, identify trends, and predict market shifts with greater accuracy. Increasing market competition compels investors to rely on technology to remain relevant and effective.
Making decisions in the capital market is no easy task; it involves both herd mentality and individual behavior. These factors create challenges such as economic uncertainty, high market volatility, and constantly changing economic news. Furthermore, the impact of external factors - such as government policies or geopolitical events - can add another layer of complexity to the decision-making process.
AI-driven research and analysis tools offer innovative solutions for enhancing research and analysis processes within the capital markets. Technologies such as sentiment analysis - which interprets market sentiment based on textual data - alongside vector databases, non-relational data aggregation, and trend-forecasting algorithms, can provide insights that were previously inaccessible.
The use of AI enables investors not only to analyze data more rapidly but also to receive precise, actionable recommendations, thereby reducing risk and increasing the likelihood of success. Over time, these tools not only streamline the process but also deepen investors' market knowledge and understanding, leading to superior outcomes.
These tools enable a significant leap in knowledge for small and retail investors who do not wish to outsource their investments to institutional entities; in my view, we are on the threshold of a new world where an ordinary investor - like "Simona from Dimona" - could become a tycoon through AI-driven investing.
For DGI (Dividend Growth Investing) investors, the advantage is even greater. Instead of spending hours researching whether a company has raised its dividend for 20 consecutive years, one can simply ask AI to aggregate the data, assess whether the payout ratio is healthy, determine if cash flow supports the dividend, and identify potential risks to the company's future growth.
Advantages of Using AI Tools in Capital Market Research
AI tools are capable of analyzing vast amounts of data in a very short time, enabling investors and researchers to rapidly gain significant insights. For instance, using advanced algorithms, AI can scan data from diverse sources - such as financial reports, economic news, and social media - and summarize the information in a way that facilitates informed decision-making.
AI tools offer customization capabilities that allow investors to tailor analyses and reports to their specific needs. Whether for a private investor, a portfolio manager, or a financial institution, personalized solutions can be developed to account for specific investment goals, risk levels, and strategies. The needs of a Dividend Growth Investor (DGI), for example, differ from those of a sentiment-based investor or a value investor.
Top Tools for Capital Market Research and Analysis
I have compiled a list of the tools I consider the best for capital market investors, and specifically for DGI (Dividend Growth Investing) investors.
TradingView – An essential tool for charts, stock screeners, tracking, and alerts. Even if you aren't a technical trader, it is highly useful for monitoring stocks.
Fiscal.ai – An excellent tool for fundamental investors. It allows you to research companies, read reports, analyze earnings calls, and ask questions using natural language. The platform integrates institutional financial data, financial statements, earnings call transcripts, and analyst forecasts with an advanced AI engine, enabling rapid company analysis, comparisons, and insight generation.
Seeking Alpha – Excellent for dividend investors, thanks to its Quant ratings, in-depth articles, dividend tracking features, and earnings call transcripts. TipRanks – A platform that aggregates analyst ratings, price targets, institutional and insider trades, financial news, and sentiment indicators. It is suitable for investors who want to understand how the professional market views a specific stock.
Simply Wall St – A visual research platform that displays companies' financial status using simple, intuitive charts. It is excellent for value and dividend investors looking to quickly assess fair value, business quality, financial health, and growth potential. Koyfin – an advanced financial research platform providing market data, financial statements, screening tools, interactive charts, and performance tracking for companies, sectors, and macroeconomic indicators. It serves as a modern, accessible alternative to more expensive tools like Bloomberg.
Perplexity Pro – an AI-powered research engine that combines real-time search with citations from reliable sources. It enables users to summarize reports, find financial news, compare companies, and conduct in-depth research quickly, all while displaying the sources behind the answers. Unfortunately, there is no free version available.
For those who prefer the "old-school" approach and working with slightly more traditional tools, there are these excellent websites: Finviz – A popular research platform offering a stock screener, market heat maps, financial charts, and both fundamental and technical data. The tool helps investors quickly identify stocks that meet specific investment criteria and track market trends.
Moning – Provides all the tools needed to build, manage, and forecast steady passive income from dividends. You can get a clear picture of all your expected dividend payments: which companies will pay each month, when the payment will be received, and the projected amount. Additionally, all this information is consolidated into an annual chart, making it easy to track your dividend income flow throughout the entire year.
AI-Powered Technical Analysis Tool
One of the most highly recommended AI-based technical analysis tools is TradingView; designed to identify price patterns, it employs advanced algorithms to analyze market behavior.
This tool can detect patterns such as "Head and Shoulders," "Flags," and other technical indicators, while offering recommendations on market entry and exit points based on its findings.
Generally speaking, I am not a major proponent of technical analysis, nor do I attach much importance to it; I believe your chances of long-term investment success are greater than those associated with identifying specific stock patterns and making assumptions about their prices.
Market Movement Prediction Platforms
Prediction platforms have recently surged in prominence, with giants like Kalshi and Polymarket emerging as the world's largest prediction markets. These platforms forecast market movements by allowing users to bet on the prices of stocks or commodities.
Leveraging machine learning, these platforms offer advanced predictive capabilities based on the analysis of historical data and recurring patterns. Such forecasting assists traders in preparing for changing market conditions by providing deep insights into potential trends. For instance, if a platform identifies a downward price trend, it might recommend specific actions, such as selling stocks or increasing investments in other asset classes.
The S.M.A.R.T. Method: How to Conduct Professional Investment Research Using AI in 5 Steps
This refers not to the S.M.A.R.T. method for task management, but rather to the SMART method for in-depth company analysis.
By the end of this process, you will understand how to prompt AI to analyze a specific sector in detail; to obtain a comprehensive analysis of a particular capital market sector, you must phrase your request clearly and precisely - exactly as I will demonstrate now. The prompts themselves are very straightforward and, based on my testing, should yield excellent results. SMART-
Sector
Understand the sector
Market
Understand market conditions
Analyze
Analyze the companies
Risks
Analyze the risks
Thesis
Build an investment thesis
S-Sector
Objective:
To determine whether it is worth investing in the sector at all.
Act as a senior Wall Street analyst.
Conduct in-depth research on the ______ sector.
Include:
• Market size (TAM)
• Annual growth rate
• Key market trends
• Sector drivers
• Potential market headwinds
• Major players
• Companies threatening to disrupt the status quo
• How the sector has evolved over the past 10 years
• Outlook for the next 5 years
Conclude by rating the sector's attractiveness on a scale of 1 to 10 and explaining your reasoning.
For example, you can ask AI to analyze the technology sector by citing factors such as market trends, the performance of key companies, industry competition, and future forecasts.
M - Market
Now we understand what is happening in the market.
Analyze the current market situation for the ______ sector.
Examine:
• Interest rate environment
• Inflation
• Regulation
• Economic cycle
• Geopolitical impacts
• Technological trends
• Shifts in demand
Explain how each factor affects the sector in the short and long term.
Rate each factor:
Positive
Neutral
Negative
And explain why.
Analyze
Now, we drill down to the company's micro level.
Select the 5 highest-quality companies in the sector.
For each company, present:
Competitive advantage
Revenue growth rate over the last five years
Earnings growth rate over the last five years
ROE over the last five years
ROIC over the last five years
ROA over the last five years
Cash flow from operations over the last five years
Free cash flow over the last five years
Free cash flow to revenue ratio
Debt-to-equity ratio over the last five years
Profitability margins (net profit and operating profit) over the last five years
Market capitalization over the last five years
P/E ratio over the last five years
Description of the economic moat
Finally, rank them from best to least best and summarize everything in a table.
Risks
In this regard, most people do not verify the facts or consider the counter-argument.
I am considering investing in the company ______.
Act as a hedge fund risk manager.
Your goal is to persuade me not to invest.
Identify all possible risks:
• Regulatory
• Financial
• Competitive
• Geopolitical
• Technological
• Management
• Products
• Supply chain
• Currency (FX)
• Customer dependency
Rate each risk based on:
Probability
Impact severity
Recovery capacity
At the end, write:
"What data could cause me to change my mind?"
Formulating prompts for analyzing risks and uncertainties is crucial for understanding the risks and uncertainties associated with an investment; prompts should be crafted to elicit an in-depth analysis of factors such as market volatility, regulatory changes, or global economic issues.
Thesis
Based on all the information gathered so far,
Write a professional investment thesis, including a professional valuation.
Include:
Reasons to invest in the company
Reasons not to invest in the company
Future catalysts
Risks
Net Present Value (NPV)
Perform a Discounted Cash Flow (DCF) analysis based on the past five years
Project a DCF for the next five years
Fair value
Calculate and show the company's WACC
Calculate and show the company's Enterprise Value (EV)
Calculate and show the Terminal Value (TV)
Optimistic scenario
Base case scenario
Pessimistic scenario
Probability for each scenario
Finally, assign an investment score from 1 to 100.
Create a simple Word document (one-pager) summarizing the investment thesis for the company.
A current example using Realty Income (O):
Note: This is an analytical study, not an investment recommendation. Market data fluctuates; therefore, it is important to verify current figures before making an investment decision.
Analysis of the Net Lease REITs Sector
1. Market Size –TAM
It is difficult to define a single, precise TAM (Total Addressable Market) for the net lease sector, as it encompasses a wide variety of property types - including retail, industrial, warehouse, restaurant, and pharmacy assets, among others.
One of the best indicators of the active market size is the transaction volume within the single-tenant net lease market. In 2025, transaction volume in the U.S. reached approximately $51.4 billion, a 12.8% increase over 2024. Industrial properties accounted for roughly 55% of these transactions, while retail properties made up about 21%. (CommercialSearch)
It is important to note that the $51.4 billion figure represents annual transaction volume rather than the total TAM of the assets themselves; the aggregate value of all existing market assets is significantly higher.
Realty Income itself illustrates the scale of the market: as of the end of 2025, the company held 15,511 properties - totaling approximately 355 million square feet - leased to 1,761 clients across 92 industries. (Realty Income)
The conclusion: This is a vast and fragmented market - a fact of particular importance to Realty Income, as it enables the company to pursue growth over time through the acquisition of new properties.
2. Annual Growth Rate
A note of caution is warranted here: there is no single, reliable CAGR figure that characterizes the entire net lease market.
What is evident, however, is that the market has returned to growth following the stagnation caused by rising interest rates.
In 2025, transaction volume reached $51.4 billion, a 12.8% increase compared to 2024. The fourth quarter alone saw a 39.1% surge compared to the previous quarter. (CommercialSearch)
As for Realty Income, the company itself projects investments totaling approximately $9.5 billion in 2026, compared to the $8 billion actually invested in the first quarter alone (through the end of March). (Realty Income)
Therefore, I would characterize the sector as follows:
Moderate to medium-term growth, accompanied by higher short-term volatility.
3. Key Trends
a. Shift toward "essential" assets
One significant trend is a preference for assets where business operations are less dependent on the economic cycle.
Realty Income emphasizes its strong focus on businesses characterized by service-oriented, non-discretionary, or low-price offerings - attributes it believes provide resilience even during economic downturns. (Realty Income)
B. Industrial
Industrial properties have become a very significant part of the market.
In 2025, they accounted for approximately 55% of the Single-Tenant Net Lease transaction volume (CommercialSearch).
Reasons include:
E-commerce
Logistics
Distribution centers
Nearshoring
Supply chains
Demand for industrial infrastructure
C. Sale-Leaseback
This is a key growth driver. A company can sell an asset it owns - such as a store, distribution center, or factory - to a REIT, receive cash proceeds, and continue using the property under a long-term lease agreement. For the REIT, this represents a way to acquire a property with an existing tenant and a long-term lease in place.
D. Consolidation
The net lease market remains highly fragmented.
Realty Income positions itself as a potential consolidator of this fragmented market, leveraging its scale, cost of capital, and capacity to execute large-scale transactions.(Realty Income)
4. What drives the sector?
There are four key drivers here:
1. Interest rates
This is likely the most important factor.
When interest rates fall:
Financing costs ↓ → deals become more attractive → asset values can rise → REITs can raise capital more cheaply.
When interest rates rise - the process is reversed.
2. Rent Growth
Long-term net lease contracts typically include rent escalation mechanisms.
Realty Income reports that approximately 80.2% of its contracts feature escalation mechanisms based on indexation, fixed increases, or a combination of both.
3. Acquisitions
This is the sector's primary growth engine.
Nareit notes that, historically, more than two-thirds of the sector's growth has stemmed from acquisitions. (REIT.com)
4. Demand for Passive Income
Investors seek stable income.
Consequently, REITs with long-term leases and predictable cash flows can be particularly attractive to income-oriented investors.
5. What could negatively impact the sector?
Prolonged high interest rates
This is the primary risk. Net Lease REITs effectively compete with bonds.
If government bonds offer a high yield, investors may demand a higher yield from REITs as well.
Additionally, high interest rates increase the cost of debt and make it difficult to execute acquisitions.
Recession
If a tenant runs into financial difficulties, they might:
Go bankrupt
Close branches
Demand a contract modification
Fail to pay rent
This is particularly risky in the case of a single-tenant property.
Inflation
A net lease does not necessarily provide perfect protection against inflation. If the rent increases by 2% annually but inflation is significantly higher, the purchasing power of the income erodes.
Changes in consumer behavior
This is particularly significant for Realty Income.
The shift from brick-and-mortar retail to e-commerce could negatively impact certain types of properties.
Therefore, the company is trying to focus on properties that are harder to replace with online alternatives.
6. Who are the major players?
The key companies I would include on the watchlist are:
company | Ticker | Characteristic |
Realty Income | O | Net lease giant |
W. P. Carey | WPC | Diverse Net Lease |
Agree Realty | ADC | Focus on retail |
NNN REIT | NNN | Retail Net Lease |
Essential Properties Realty Trust | EPRT | Diverse Net Lease |
Broadstone Net Lease | BNL | Industrial + Retail |
Four Corners Property Trust | FCPT | Primarily Healthcare/Retail |
Realty is undoubtedly the group's giant; as of the end of 2025, it held more than 15,500 properties.
Nareit notes that W.P. Carey, Agree Realty, and Essential Properties were also highly active in acquisitions, with investments of $1.6 billion, $951 million, and $1.2 billion, respectively, in 2024.
7. Who can change the rules of the game?
Here, I would be cautious about using the word "threaten."
The primary competitor is not necessarily a single company.
Private Equity
Private equity funds can compete for the same assets.
Institutional Investors
Pension funds, insurance companies, and institutional investors can enter into large-scale transactions.
Small REITs
They can specialize in niches where it is harder for Realty Income to compete.
However, Realty Income holds a significant advantage:
Cost of capital + scale + credit rating + corporate relationships + the ability to execute massive deals.
The company boasts an A3/A- credit rating and holds a Gross Asset Value of approximately $83.6 billion. (Realty Income)
8. How has the sector changed over the last decade?
I think this is one of the most important aspects for understanding the thesis.
2016–2019
A period of:
Low interest rates + cheap money + significant expansion of REITs.
The net lease model worked well.
2020
COVID-19.
Some retail tenants were hit hard, but this was precisely when the advantages of diversification and a focus on essential tenants became apparent.
2021–2022
Interest rates were still low at the beginning of the period, followed by a very sharp rise.
2022–2024
This was a significant test for the sector.
Rising interest rates led to:
Cap rates ↑
Financing costs ↑
Asset values ↓
REIT stock prices ↓
However, at the same time, acquisition opportunities opened up for companies with strong balance sheets.
2025–2026
It appears the market is beginning to reopen.
Single-tenant net lease transaction volume reached $51.4 billion in 2025, while REITs simultaneously increased their acquisition activity. (CommercialSearch)
In Q1 2026, the US REIT market as a whole posted a 14.8% year-over-year increase in FFO, while NOI rose by 5.6%. (REIT.com)
9. What is expected over the next five years?
My base-case scenario
I believe the sector is poised for moderate growth - not the kind of growth seen in technology companies.
But that is precisely the point.
The net lease model isn't built to grow at 20% annually.
It is designed to generate:
Rent → Cash flow → Acquisitions → FFO → Dividends → Gradual growth.
If the interest rate environment becomes more favorable, major companies could have a significant opportunity to ramp up acquisition volumes.
Realty Income itself targets investments of approximately $9.5 billion for 2026, projecting same-property rent growth of 1.0%–1.3% and AFFO of $4.41–$4.44 per share. (Realty Income)
10. My rating for the sector
⭐ 8/10
Why not a 10?
Because it is a sector highly sensitive to interest rates, and future returns depend significantly on the cost of capital and the ability to execute acquisitions at attractive prices.
In addition, the organic growth rate of the net lease sector is relatively low; therefore, companies like Realty Income must continue acquiring properties to generate significant growth.
So why 8, specifically?
Because there is an interesting combination here:
✅ Long-term leases
✅ Predictable cash flow
✅ Massive tenant diversification
✅ Essential assets
✅ Rent escalation mechanisms
✅ A vast and fragmented market
✅ Growth potential via M&A and acquisitions
✅ Natural demand for income
⚠️ Interest rate sensitivity
⚠️ Moderate organic growth
⚠️ Tenant credit risk
⚠️ Competition for high-quality assets
And what does this mean specifically for a DGI investor?
This is where, in my opinion, the truly interesting part begins.
Realty Income is not a classic growth company. It is more of a "cash flow machine" than a growth engine. As of the end of 2025, it held 15,511 properties, 1,761 clients, and exposure to 92 industries, with an average remaining lease term of 8.8 years and $5.31 billion in annualized base rent. (Realty Income)
For the DGI investor, therefore, the question is not:
"Will O rise by 50%?"
But rather:
"Can the company continue to grow its cash flow and dividend over the coming decades, at the price I am paying today?"
And that is a far more interesting question.
I have taken the liberty of cutting the rest of the conversation with the AI, as it would have made the article excessively long; in any case, anyone interested in viewing the final document I created is welcome to see it here. Of course, you can subsequently refine and adjust the document so that the AI presents it exactly as you wish.
I have outlined several ways to ask questions aimed at identifying investment opportunities; you can ask the AI about areas such as high-growth companies, sectors with high potential, or DGI stocks - tailoring the approach to your specific investment strategy.
Completing the Process: A Winning Combination of Human and Machine
In today's era, where artificial intelligence technologies are rapidly evolving and providing advanced solutions across various fields, it is important to understand the limitations of these tools. Although AI can analyze data faster and more efficiently than humans, it is prone to "hallucinations" and a lack of context; crucially, it lacks the ability to exercise human judgment, grasp cultural or emotional nuances, and act in accordance with moral values.
Therefore, combining human judgment with AI technologies is critical to ensuring higher-quality and more accurate decision-making. Human judgment can add depth and understanding to the information provided by AI, helping to grasp the broader context of the situation or problem at hand. For instance, if there is a company you do not wish to invest in for ethical or geopolitical reasons, AI would likely not take that into account the way you do.
The content of this blog is provided for educational and financial literacy purposes only and does not constitute investment advice, investment marketing, or a recommendation to buy, hold, or sell any securities or financial assets.
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