How to Forecast Stocks: Essential Techniques for Predicting Share Prices - Lesson N.2
Key Points:
- Demystifying Stock Forecasting with the Forecaster Terminal: Learn how both novice and seasoned investors can leverage the Forecaster Terminal’s intuitive yet powerful interface to analyze individual stocks with precision, moving beyond simple price charts to a multi-layered understanding of company dynamics.
- Harnessing Diverse Analytical Lenses for Stock Insights: Discover how to navigate the platform’s comprehensive layers, including the crucial Overview, revealing fundamental relationships; Seasonality, identifying recurring stock-specific patterns; Overbought/Oversold indicators, pinpointing potential price extremes; and the in-depth Fundamentals section, assessing company health and value.
- Uncovering Actionable Stock Opportunities Through Integrated Analysis: Understand how to combine insights from different analytical layers – such as identifying fundamentally sound companies with positive seasonal tailwinds or oversold stocks with strong underlying financials – to develop high-conviction trading and investment strategies.
Introduction: A Multi-Dimensional Approach to Stock Market Mastery
Welcome back to the second installment of our Forecaster Terminal master class! In our previous session, we equipped you with the skills to forecast stock market indexes using the Forecaster Terminal’s sophisticated tools. If you happened to miss that foundational lesson, fret not – the recording awaits your exploration on our YouTube channel.
Today, we pivot our focus to the very building blocks of the market: individual stocks. We will embark on a detailed exploration of publicly listed companies, and I believe you’ll find this lesson particularly insightful. We will meticulously traverse the diverse array of analytical tools housed within the Forecaster Terminal, specifically tailored for dissecting and understanding the potential of individual shares. By the end of this session, you will gain a deeper appreciation for how to master this robust software when it comes to making informed decisions about the companies that drive our economies.
As I mentioned in our introductory lesson, the Forecaster Terminal offers a user experience reminiscent of Google’s intuitive design. You are greeted with a prominent search bar, your gateway to a universe of financial instruments. Furthermore, a comprehensive suite of analytical tools is readily accessible through the platform’s menu. This dual structure empowers you with two distinct yet complementary approaches to your market analysis:
- Direct Instrument Search: If you have a specific company or stock in mind, simply type its ticker symbol or name into the search bar. The Forecaster Terminal will swiftly retrieve the relevant data and analytical layers for your immediate exploration. The different layers you can explore within the Forecaster Terminal are Overview, Seasonality, Overbought-Oversold, Fundamentals and Political.
- Exploration via Integrated Tools: For those seeking broader investment or trading ideas, the platform boasts a rich set of built-in tools designed to uncover potential opportunities across various sectors and industries.
This dual methodology ensures that whether you have a laser focus on a particular stock or are casting a wider net for promising ventures, the Forecaster Terminal provides the versatility and efficiency you need.
1. Getting Started: Navigating the Forecaster Terminal for Stock Analysis
As you’ve already experienced, the Forecaster Terminal’s interface is designed for seamless navigation. The familiar search bar at the top allows for quick access to any financial instrument, including individual stocks. Additionally, the menu bar provides access to the full spectrum of analytical tools available within the software. This dual entry point caters to both targeted analysis and exploratory research, mirroring the user-friendly experience of Google.
Whether you’re looking to analyze a specific stock like Nvidia or seeking broader investment ideas within a particular sector, the Forecaster Terminal offers these two distinct yet equally effective ways to begin your journey. The choice, of course, depends entirely on your specific analytical goals at any given moment.
2. Overview Section
To illustrate the power of the Forecaster Terminal in analyzing individual stocks, let’s take a deep dive into a prominent example: Nvidia (NVDA). As with all instruments on the platform, Nvidia’s analysis is structured across several distinct layers, each offering a unique perspective on its market behavior and future potential. For Nvidia, being a US-listed company, these layers include:
Overview
Providing a comprehensive snapshot of historical performance and key financial data overlaid directly on the price chart, you can visualize the price action compared to the Net Income, equally weighted P/E, P/E weighted by Market cap and Sales. Unlike the same section for indices, the Overview Section when looking up a stock has other interesting metrics such as Years Performance, Dividends and Insiders Transactions.
Years Performance: Here below you can see the data for the percentage increase from the first to last trading session of the calendar year.
Dividends: Dividend refers to a reward, cash or otherwise, that a company gives to its shareholders. Dividends can be issued in various forms, such as cash payment, stocks or any other form. The Forecaster Terminal also provides you with an analysis of how dividends payed out from the company are evolving graphically as you can see in the page below, in this case they are increasing Nvidia is paying more and more dividends to it’s shareholders.
Insiders Transactions: Another interesting feature on the individual stock overview is insider transactions. You can find this information on the Forecaster Terminal if the company is listed on the New York Stock Exchange, and it can be insightful for several reasons. This section displays all trading activity of company insiders involving the company’s stock. It’s common to see insiders selling some or all of their shares; often, these transactions involve individuals converting stock options to fiat currency (receiving payment in stock options often has tax advantages). This section becomes particularly interesting when an insider begins repurchasing company stock. This often suggests the insider is confident that the shares will appreciate, potentially due to non-public information or optimism about increasing earnings or sales.
3. Seasonality Layer
As shown in the previous lesson of this course, seasonality is particularly useful in identifying recurring patterns in an instrument’s price movements over various historical periods. Seasonality is not limited to commodities and few other instruments as many think – It is applicable to nearly all instrument on the markets. This said, let’s have a look at a concrete example: Nvidia
The first thing we can do with the Forecaster Terminal is identify visually strong trends and select the period we are interested in depending on the strategy we want to adopt (If Long or Short).
We can surely notice that the period starting from the first week of May until mid June shows a particularly bullish trend. If we watch what happened in the last 3 years (the timeframe with the highest historic correlation to current prices) we can notice interesting returns: Actual prices since the start of the Year have fluctuations resembling the three years average with a correlation of 76.75%. In the last two years this period has succeeded for long trades two years out of three (66.7% of success rate) and has yielded in average 51.2%.
On the other side, we can surely notice that the period starting from the Last week of August until the first week of September tend to show a particularly bearish trend. If we watch what happened in the last 3 years (the timeframe with the highest historic correlation to current prices) we can notice interesting returns on a short position: Actual prices since the start of the year have fluctuations resembling the three years average with a correlation of 76.75%. In the last two years this period has succeeded for long trades two years out of three (66.7% of success rate) and has yielded an average return of 20,5%.
Daily, Weekly and Monthly Averages: Another interesting part of the Forecaster Terminal’s Seasonality page when analyzing a single stock is the average of trades over different time frames, users can find the average trade statistics over all the previously mentioned time frames.
4. Overbought & Oversold
The Market Mood Meter is a powerful indicator that measures market sentiment, oscillating between two extreme emotions: Fear (Panic Selling) and Greed (FOMO). Inspired by CNN Business’s Fear and Greed Index, it can be applied to any financial instrument by averaging three statistical/mathematical indicators from the Overbought/Oversold section: the Forecaster Advanced DPO, Wyckoff Causes/Effects Indicator, and Speed Indicator.
Using the Market Mood Meter as a Sentiment Indicator
The Market Mood Meter ranges from -100 to +100, reflecting investor sentiment:
-100: Extreme Fear (Panic Selling) – Investors are highly pessimistic, often indicating markets are near a bottom.
+100: Extreme Greed (FOMO) – Investors are highly optimistic, often signaling markets are near a top.
Using the Market Mood Meter as a Timing Indicator
To use the Market Mood Meter for timing trades, monitor when the indicator enters overbought or oversold territory. Wait for a divergence to form between the price and the oscillator (e.g., points A-B on the chart below). When the Market Mood Meter crosses the zero line, it indicates a high probability of a correctly identified trend reversal.
Another key example is the trade on EUR/USD, where the divergence is particularly evident: the MMM is increasing while the Advanced DPO is decreasing.
The First component of the Market Mood Meter users encounter is a another proprietary indicator: the Forecaster Advanced Detrended Price Oscillator (DPO).
The Forecaster Advanced DPO indicator allows users to quickly determine whether a financial instrument is overvalued or undervalued compared to its historical data. It enhances the traditional Detrended Price Oscillator (DPO)—a technical analysis tool that filters out long-term price trends to highlight shorter-term cycles and potential price peaks and troughs—by incorporating an algorithm that normalizes the DPO value based on the current price relative to the price range over the previous ten years. After calculating the indicator, two 200-period Bollinger Bands are applied: one with a standard deviation of 1 and another with a standard deviation of 2. These bands create four distinct zones corresponding to different market phases.
- Green: Strong Buy
- Blue: Hold
- Orange: Sell
- Red: Strong Sell
- Green: Strong Buy
- Blue: Hold
- Orange: Sell
- Red: Strong Sell
Another example of identifying a market top with a potential downward reversal is shown using NVIDIA (NVDA) again. In the first image, notice a peak in mid-October (marked in orange), followed by a higher peak at the start of November.
Observing the Speed indicator for the same period, we notice that the mid-October peak reaches 36,000, while the second peak in early November is lower at 34,500, indicating a divergence.
Once again, the Price action and Speed indicator show a notable divergence: the Speed indicator is declining while the Price keeps rising. What happens next? As depicted in the image below, the price falls sharply shortly after the second peak.
The third indicator that composes the Market Mood Indicator is the Speed Indicator, this metric measures the velocity of a Hull Moving Average (HMA) calculated on the prices of the selected financial instrument. The velocity is computed using the formula:
5. Fundamentals Page
The fundamentals page on the forecaster terminal is of great use for investors. All insights on the fundamentals of a company are extracted and visualized on this page ready to use.
- Ex-Dividend Date: The date on which a stock trades without its upcoming dividend; buyers after this date don’t receive the declared dividend.
- Dividend Yield: The annual dividend payment divided by the stock’s current price, expressed as a percentage, showing the return from dividends alone.
- Shareholder Yield: Combines dividends and share buybacks divided by market cap, indicating total cash returned to shareholders.
- EPS TTM (Earnings Per Share Trailing Twelve Months): Net income divided by outstanding shares over the past year, measuring per-share profitability.
- P/E TTM (Price-to-Earnings Trailing Twelve Months): Stock price divided by EPS TTM, reflecting how much investors pay per dollar of earnings.
- Market Cap: Total value of a company’s outstanding shares, calculated as share price times shares outstanding, indicating company size.
- Raw Data: This section simplifies and presents data from the three key financial statements—Income Statement, Balance Sheet, and Cash Flow Statement.
- Transcripts: Lengthy earnings call meetings are summarized by our AI agent, which synthesizes the key points into concise insights.
- Visual Summary: Data from the Raw Data and Transcripts sections is synthesized into a clear, visually appealing page for quick and easy comprehension.
- Positive News: NVIDIA reported record Q4 revenue of $39.3 billion, up 78% year-over-year, driven by a $115.2 billion data center segment (up over 100% YoY). The Blackwell architecture ramp-up generated $11 billion in Q4, with strong AI demand across training, inference, and industries like automotive and visualization. Strategic partnerships with Toyota, Aurora, and Continental were announced.
- Negative News: Gaming revenue fell 22% sequentially and 11% YoY, and networking revenue dropped 3% sequentially.
- Risks: Challenges include reduced China data center sales due to export controls, competitive pressures, gross margin declines from early Blackwell deliveries, gaming supply constraints, and potential tariff uncertainties.
- Future Outlook: NVIDIA forecasts $43 billion in Q1 2026 revenue, with significant Blackwell growth and gross margins of ~70.6–71%. The company anticipates long-term growth in AI, with Blackwell Ultra launching in H2 2025 and Vera Rubin in development.
- Other: NVIDIA returned $8.1 billion to shareholders via repurchases and dividends. Insider stock sales occurred in March 2025. The company emphasized AI adoption trends and its architectural edge over custom ASICs.
- Profit Margin: This ratio measures a company’s profitability by dividing net income by total revenue, expressed as a percentage. A higher profit margin indicates better efficiency in converting sales into profits.
- Return on Equity (ROE): Calculated as net income divided by shareholders’ equity, ROE shows how effectively a company uses investors’ capital to generate profits, expressed as a percentage. Higher ROE suggests stronger financial performance.
- Debt-to-Equity: This ratio compares a company’s total debt to its shareholders’ equity, indicating the balance between debt and equity financing. A lower ratio typically reflects a more stable financial structure with less reliance on borrowed funds.
Solidity metrics are designed to help users evaluate a company’s financial stability. These metrics include the Altman Z-Score, Piotroski F-Score, and Beneish M-Score, each assessing a distinct aspect of a company’s financial solidity.
The Altman Z-score is a financial metric used to assess a company’s financial health and likelihood of bankruptcy. It measures the distance between a company’s financial ratios and those of distressed firms. A higher Z-score indicates a lower risk of bankruptcy, while a lower score suggests a higher risk. It’s a valuable tool for investors and analysts to evaluate a company’s creditworthiness.
> 2.99 Safe Zone – Low Likelihood of Bankruptcy
1.81 to 2.99 Grey Zone – Moderate Risk of Bankruptcy
< 1.81 Distress Zone – High Risk of Bankruptcy
Nvidia (NVDA) demonstrates exceptional financial stability, boasting an Altman Z-Score of 54.82, which is significantly above the ‘safe zone’ threshold of 2.99. This high score indicates a very low risk of bankruptcy, reflecting Nvidia’s strong financial health across key metrics like profitability, leverage, liquidity, solvency, and activity as of it’s last earnings call.
- ≥ 6: Strong Zone
- 4 to 5: Stable Zone
- ≤ 3: Weak Zone
- < -2.22: Unlikely Profit Manipulation
- -2.22 to -1.78: Possible Earnings Manipulation
- > -1.78: Likely Earnings Manipulation
M-Score = −4.84 + 0.92 × DSRI + 0.528 × GMI + 0.404 × AQI + 0.892 × SGI + 0.115 × DEPI − 0.172 × SGAI + 4.679 × TATA − 0.327 × LVGI
The Beneish M-Score has a history of exposing financial irregularities. In 1998, Cornell University students used it to uncover earnings manipulation at Enron Corporation. More recently, it flagged potential issues in Wirecard’s financials, leading to the company’s insolvency filing on June 25, 2020, after €1.9 billion on its books was deemed nonexistent—a major German financial scandal. Dr. Lee from the University of Washington warns that a rising M-Score may signal a company growing while losing core strength and possibly using aggressive accounting, advising investors to steer clear even if such practices are legal.
- Robust: The company is buying back shares, has a positive and increasing shareholder yield, and shows improving weighted financials.
- Resilient: The company has a positive shareholder yield that exceeds its dividend yield, with weighted financials increasing.
- Steady: The company is either buying back shares, has an increasing shareholder yield, or shows improving weighted financials.
- Weak: The company is issuing more shares, has a decreasing shareholder yield, and exhibits declining weighted financials.
Key Metrics
Shareholder Yield = (Dividend Yield + Net Buyback Yield + Debt Paydown Yield) / Capitalization
Weighted Financials are additional metrics within the Value Generation section that evaluate a company’s ability to create value for shareholders. Users can view these metrics on both annual and quarterly charts, enabling analysis of long-term trends or short-term performance. The Weighted Financials include key financial ratios, such as Sales, Net Income, Free Cash Flow, and Gross Profit Divided per the number of shares, which are weighted to highlight their impact on shareholder value. Notice the amazing Metrics per share for Nvidia since the boom of demand for their products!
(Weighted Financials Quarterly) (Annual Weighted Financials)
- Sector Breakdown: Identifies the company’s operational sectors and their respective revenue contributions.
- Revenue Trends: Tracks changes in revenue sources over time, such as the decline in Gaming’s share for NVIDIA.
- Strategic Insights: Helps investors understand shifts in business focus, such as NVIDIA’s pivot toward AI and data center technologies.
6. Political
