How To Pick Top Pharma Stocks like a ProAnalyzing the pharmaceutical industry, whose products play a key role in improving the quality of life of people around the world, is quite challenging sometimes also it requires deep knowledge and a careful approach, as I believe that investors should consider many factors, starting with evaluating the efficacy of the analyzed company's medications, including in relation to its competitors and the "gold standards," and ending with an analysis of its financial indicators
In this article you will learn how to pick Top Pharma stocks like a pro trader and which factors you should consider, so buckle up
1/ Recognizing the risks
At the very beginning, an investor you must recognize that the pharmaceutical industry is highly competitive, where a company's investment attractiveness depends not only on the rate of expansion of its portfolio of product candidates, revenue growth, margins, the amount of total debt and cash on the balance sheet but is also heavily influenced by the expiration of patents on medications and vaccines.
Moreover, in recent months, the healthcare sector has increasingly felt the impact of the upcoming 2024 US presidential elections, as some politicians are aiming to further tighten regulation of drug prices despite the existing Inflation Reduction Act.
2/ Leveraging data to your advantage
The second step use data wisely, you should check all kinda data including stock screener, transcripts of earnings calls, financial results for the last quarters, analyst expectations, options data... The goal is to filter companies in poor financial condition, as well as those that trade at a significant premium to the sector and/or competitors
I would also like to point out that in the current market environment, with Fed interest rates remaining at multi year highs, I do not recommend investing in companies with market caps below $500 million, as they typically have limited cash reserves and weaker institutional backing
Also, I'd recommend investors read 10-Ks and 10-Qs, especially the section related to debt and sources of financing of the company's operations, to reduce the likelihood of an "unexpected" drop in the share price. A striking example is Invitae Corporation aka NVTAQ which declared bankruptcy in mid February 2024!
Was there a prerequisite for this? The answer is yes since the company continued to generate negative cash flow and also had convertible senior notes maturing in 2028.
Convertible notes can involve significant financial risks if the company cannot effectively use the cash to grow the business and break even. In this case, management will not be able to pay off the bonds with cash reserves and will have to resort to significant dilution of investors. In my opinion, Pacific Biosciences of California, Inc. NASDAQ:PACB may face this problem because it has convertible senior notes maturing in 2028 and 2030.
Factors that concern me include the company's declining revenue and total cash and short-term investments in recent quarters, while its operating expenses remain extremely high at around $80 million per quarter.
Let's return to the second step in my approach to selecting the most promising assets in the healthcare sector.
When selecting companies with market caps between $4 billion and $40 billion, I use more parameters since most of them already have FDA approved drugs and/or vaccines.
As a result, it is also necessary to consider the rate of growth of operating income, net debt/EBITDA ratio, and how management copes with increased marketing and production costs.
Finally, let's move on to the last basket, which contains pharmaceutical companies with market capitalizations exceeding $40 billion. I think, this group is best suited for more conservative investors looking for assets offering attractive dividend yields and growing net income, supported by a rich portfolio of FDA approved and experimental drugs.
So, from Big Pharma, I like Pfizer Inc NYSE:PFE , AbbVie Inc NYSE:ABBV , Merck & Co NYSE:MRK and AstraZeneca PLC NASDAQ:AZN . I also want to include Novartis AG NYSE:NVS and Roche Holding AG OTC:RHHBY in this group
sometimes investors need to make exceptions, namely if one larger company buys out a smaller player and/or when a major partnership agreement is concluded, as was the case between Merck and Daiichi Sankyo Company, Limited OTC:DSKYF in 2023.
Also, in the event of a major acquisition or merger, the company's debt may temporarily increase sharply. If its management has previously implemented effective R&D and financial policies, the "net debt/EBITDA ratio"
A remarkable example of a company falling into the "value trap" is Takeda Pharmaceutical Company Limited NYSE:TAK , which overpaid for Shire. This deal did not significantly strengthen or rejuvenate the Japanese company's portfolio of drugs.
As a result, it had to sell off billions of dollars in assets to pay off its debt partially. However, despite all the efforts of Takeda's management, its net debt/EBITDA ratio, although it fell below 5x, remains high, namely about 4.7x at the end of March 2024.
3/ Identifying promising therapeutic areas
In general, the more prevalent a disease is, the larger the total addressable market for a drug and, as a result, the higher the chances that it will become a commercially successful product.
Global spending on cancer medications will reach $377 billion by 2027, followed by immunology, and diabetes will come in third with an estimated spending of about $169 billion
What challenges arise when choosing pharmaceutical companies?
you should also keep in mind that the larger the market, the higher the competition between medicines, as companies strive to grab as big a piece of the pie as possible.
As a result, for drug sales to take off, they need to have significant competitive advantages over the "gold standard." These competitive advantages may include greater efficacy in treating a particular disease, less frequent administration, a more favorable safety profile, and a more convenient route of administration.
So, in recent years, competition in the global spinal muscular atrophy treatment market has intensified. Spinal muscular atrophy is a genetic condition. Currently, three drugs have been approved to combat the disorder, including Biogen Inc.'s (BIIB) Spinraza, Roche/PTC Therapeutics, Inc.'s (PTCT) Evrysdi, and Novartis AG's (NVS) gene therapy Zolgensma.
All three products have similar efficacy, but Evrysdi has a more favorable safety profile and is the more convenient route of administration, namely the oral route, which is reflected in its sales growth rate from year to year.
The second pitfall is the company's pipeline of experimental drugs.
I believe that financial market participants opening an investor presentation that presents a company's pipeline, especially if its market cap is below $5 billion, should also pay close attention to what stage of clinical trial activity its experimental drugs are in.
if a pharmaceutical company has most of its product candidates in the early stages of development, this represents a significant risk because, in this case, institutional and retail investors are often overly optimistic about the prospects for the drugs' mechanisms of action and/or clinical data obtained in a small group of patients. Simultaneously, as is often the case, the higher the optimism, the less favorable the risk/reward profile.
In most cases, the larger and more diverse the patient population, the weaker the efficacy of a drug relative to what was seen in Phase 1/2 clinical trials. This ultimately leads to a downward valuation of its likelihood of approval and casts doubt on its ability to take significant market share from approved medications.
This may subsequently reduce the company's investment attractiveness, making it more difficult to attract financing for its operating activities.
As a result, I recommend excluding any company that, instead of focusing its financial resources on the most promising product candidates, conducts multiple early-stage clinical trials to evaluate the efficacy of its experimental drugs.
In my experience, the most successful pharmaceutical companies focus their efforts on bringing up to three product candidates to market and then reinvesting the revenue from their commercialization into developing the rest of the pipeline.
The table below highlights the following parameters that I use to screen out the least promising companies.
A third factor that investors, especially those new to the investment world, should consider is that large pharmaceutical companies are leaders in certain therapeutic areas, with a rich portfolio of patents covering various mechanisms of action and delivery methods of drugs, making it more difficult and more prolonged for smaller players to find product candidates that could potentially have the competitive advantages.
So, Novo Nordisk A/S NYSE:NVO and Eli Lilly and Company NYSE:LLY have long been leaders in the global diabetes and weight loss drugs markets, and only very recently, they may be joined by Amgen Inc. NASDAQ:AMGN , Roche Holding, and several other companies
4/ Assessing a company's drug portfolio in comparison to competitors
Evaluating the effectiveness, safety profile, and mechanism of action of a medication, as well as comparing clinical data with its competitors, takes a lot of time and effort. I provided examples of drugs and the most promising mechanisms of action in the obesity treatment market. Their manufacturers are Eli Lilly, Novo Nordisk, Roche Holding, Viking Therapeutics, Inc, Amgen, Pfizer, Altimmune, Inc, OPKO Health, Inc, Boehringer Ingelheim, and Zealand Pharma A/S
5/ When market exclusivity for a company's key medications ends
Every financial market participant who is considering investing in pharmaceutical companies should consider the expiration time of key patents of medicines.
Marketing exclusivity represents protection against the entry of a generic version and/or biosimilar of a branded drug into the market, thereby allowing the company to recoup the resources spent on its development and, in the event of its commercial success, also reinvest the money received to accelerate the development of the remaining product candidates.
Where can you find information about patent expiration dates?
All the necessary information is either in 20-Fs/10-Ks or on the FDA website, namely in the "Orange Book" section. let's take Eli Lilly as an example. Open the latest 10-K. Then, the CTRL + F combination opens the ability to find specific words in the document. I usually enter "Expiry Date" or "compound patent" to find the patent section.nvestors can also find information about patents on the FDA website.
As an example, I enter "Mounjaro" in the top line, and a list of patents opens that protect Eli Lilly's blockbuster from the introduction of its generic versions onto the market.hen, clicking on "Appl. No." will open information about the submission date of the patent and when it will expire.
6/ Evaluating the impact of insider share transactions
The next step in selecting the most interesting assets in the healthcare sector is to analyze Form-4s. The CEO, CFO, and other key members of the company's management buy or sell shares from time to time.I am only interested in analyzing purchases since, most often, sales by management are option exercises carried out to pay taxes.
When management starts making large outright purchases of a company's shares, it can signal that it believes in its long-term growth potential.if more than two top managers buy a large block of shares within two weeks of each other, it significantly increases the likelihood of the company's stock price rising in the next two months from the moment of their transactions
But as with everything, there are exceptions, such as in the case of OPKO Health, which is developing a long-acting oxyntomodulin analog for the treatment of obesity together with LeaderMed Group.Over the past 12 months, OPKO's management, especially CEO Phillip Frost, has purchased over 12 million shares.
However, despite this, its stock price has fallen by 27% over the same period. I believe that the key reasons for the divergence between these two facts are investors' lack of confidence in Phillip Frost's ability to make the company profitable again, as well as its low cash reserves. Therefore, companies like OPKO Health have already been eliminated at the second step of selection using Seeking Alpha's screener.
7/ CEO Performance in Business Development
The CEO plays a crucial role in the success of a pharmaceutical company since the pharmaceutical industry is highly dynamic, and the competition between Big Pharma is especially high, I advise readers to pay attention to the track record of the CEO, especially how he copes with force majeure situations, as well as how effective the R&D policy is carried out under his leadership.
8/ Identifying Entry and Exit Points for Long-Term Investments
The eighth step is in addition to the information that was obtained in the previous steps, as well as the analysis of financial risks and various financial metrics of the company, including its net debt, maturity dates of bonds, historical revenue growth rates, EBIT, gross margin, I build a DCF model with the ultimate goal of determining the price target.
it is necessary to conduct a technical analysis of them, as well as the main ETFs that include them. In my opinion, the key ETFs are the SPDR® S&P Biotech ETF AMEX:XBI , Fidelity Blue Chip Growth ETF AMEX:FBCG , iShares Biotechnology ETF NASDAQ:IBB , and VanEck Pharmaceutical ETF $PPH. The purpose of technical analysis is to determine the stop-loss level and entry points at which the risk/reward profile is most favorable. taking profit is not that easy cuz you must master your emotions and greed which damn hard
9/ Creating a Watchlist Based on Risk/Reward Ratio
The purpose of which is to create a watchlist of the companies I have selected based on the previous steps. I make several lists of companies based on their market caps and also rank them according to risk/reward profile, that is, in the first place is the stock that I think has minimal risks and at the same time can bring the greatest potential profit.
I also advise creating small notes on each company, which can include information about risks, support/resistance zones, dates of publication of clinical data, and any thoughts you have that will make your decision more conscious when opening a position
“What’s your secret sauce for choosing pharma stocks?”
Stockstobuy
Discovering profitable stocks for intraday trading █ Discovering profitable stocks for intraday trading: Simplifying the BeSt System
Intraday trading style capitalizes on the market's daily fluctuations to generate profits, appealing to traders seeking quick returns. However, the rapid pace and high associated volatility require precise decision-making and a deep understanding of market dynamics. For intraday traders, the key to success lies in predicting market movements and identifying stocks that offer the best potential for profit within a limited timeframe. The BeSt system , short for Best Stock Finder, is a pioneering approach that uses data analysis to pinpoint promising stocks for daily trades. This article explores how this system works and what it means for the everyday trader.
The primary goal of this research is to unearth effective strategies for selecting stocks that are most likely profitable for intraday trading.
The relevance of this study is particularly pronounced in the current market environment, characterized by heightened volatility and increased trading volumes. These conditions heighten the risks associated with intraday trading and open up new opportunities for savvy traders.
█ Understanding the BeSt System
At its core, the best system employs a sophisticated blend of regression and sequence mining techniques to analyze historical stock data. By examining patterns in stock price movements and predicting future trends, the system identifies stocks most likely to experience significant price changes within the same trading day.
⚪ How Does the BeSt System Work?
Regression Techniques: These algorithms predict future price variations by analyzing historical price data. The stocks showing the highest potential for price fluctuations are highlighted as prime candidates for trading.
Sequence Mining: This method goes beyond simple price predictions by looking for recurring sequences in stock performance. It identifies patterns indicating which stocks are likely to perform well, based on their historical sequence of returns.
Weighted Sequences: By assigning different weights to stock occurrences based on their profitability, the system prioritizes stocks that have consistently shown higher returns following specific patterns.
⚪ Simplifying How the BeSt System Works
Predicting Price Changes: At its heart, the system uses past stock price movements to forecast future activity. Imagine being able to predict a stock’s price rise before it happens—that’s what this system aims to do.
Finding Patterns: Beyond predictions, the BeSt system looks for patterns in how stocks have performed over time, identifying which stocks are likely to do well together or in sequence. This helps in anticipating market movements.
Prioritizing Profitable Stocks: Not all stocks are treated equally; the system prioritizes those that have historically provided better returns following certain patterns.
█ Conclusion: For intraday traders, the BeSt system offers a promising tool that enhances profitability and provides a deeper understanding of market dynamics. Turning complex data into actionable trading insights represents a significant step forward in the quest for optimal trading strategies. As technology and data science continue to advance, the BeSt system is well-positioned to become an indispensable part of every trader's toolkit.
█ Methodology
⚪ Regression Techniques These algorithms predict the value of continuous variables based on the analysis of historical data.The goal is to predict the daily percentage variation in the price of a stock on the next trading day by analyzing the historical prices of market stocks on the preceding days. Stocks with the maximal predicted variation are recommended as the most tradeable on the subsequent trading day.
Data Preparation: The historical price data of various stocks are collected, focusing primarily on daily percentage variations in stock prices.
Model Training: Regression algorithms are used to create predictive models. These models analyze the historical prices and try to forecast the price movements of the stocks for the next trading day.
Stock Selection: Stocks predicted to have the highest percentage variation in their prices the next day are flagged as potential candidates for trading. This prediction is based on the regression model’s output, which calculates the expected price change from one day to the next.
⚪ Sequence Mining This involves the use of unsupervised data mining techniques to discover recurrent sequences of items in large datasets. In this context, items are stocks, and the time stamps correspond to the closures of consecutive trading days. A sequence is an ordered list of itemsets, where an itemset is a set of items occurring at a given time stamp. Given the best-performing stocks on past and current trading days, a sequence indicates that if an arbitrary set of stocks is in the top list on preceding days, a given stock is likely to occur in the top list on the next day. Weighted sequences, rather than traditional ones, are used to weigh differently the occurrences of different stocks on the same trading day according to their daily profits.
Data Handling: The process starts with collecting historical stock data, particularly focusing on the closing prices across consecutive trading days. This data is then prepared into a sequence format where each sequence represents the ordered list of stock performances over multiple days.
Mining Process: Using sequence mining algorithms, the system searches for common patterns or sequences in the stock data. These patterns reveal which stocks frequently perform well in sequence—meaning if certain stocks are performing well today, which stocks are likely to perform well tomorrow based on historical patterns.
Weighted Sequences: To refine the selection, the concept of weighted sequences is applied. This approach gives different weights to the occurrences of stocks based on their profit performances on particular days. For example, if a stock consistently shows higher gains than others on specific days following certain trends, it will be weighted more heavily in the predictive model.
Stock Recommendations: The system identifies sequences with the highest recurrence and profitability. Stocks appearing in these sequences are recommended for trading. These stocks are expected to perform well in the short term, aligning with intraday trading goals.
█ Data Set Used
The data set used for this study consisted of a broad range of stocks across various sectors, including technology, finance, and consumer goods. To ensure the reliability of the data, the study focused on stocks listed on major exchanges like the NYSE and NASDAQ.
█ Key Findings
High Profitability: The BeSt system outperforms traditional stock selection methods like Support Vector Machines, Linear Regression, and random selection strategies. The sequence-based strategies used by BeSt, in particular, have proven to yield higher profits, demonstrating the system's ability to effectively identify the most promising stocks for intraday trading.
Effective Trend Capture: The system is highly adept at identifying underlying trends in stock price movements. This capability allows traders to make informed decisions based on a solid analysis of historical data, ensuring that trades align with the most likely future movements of the market.
[* ]Scalability: The BeSt system can handle large datasets efficiently, making it suitable for analyzing the numerous stocks listed on major stock exchanges. This scalability is crucial for intraday traders who need to quickly sift through vast amounts of data to identify trading opportunities.
Interpretability of Results: Unlike many other data-driven trading systems, the BeSt system provides interpretable results. This feature is particularly beneficial for traders who prefer to understand the logic behind the recommended trades. The system's transparency helps build trust and allows users to learn from the system's insights.
█ Practical Applications
Even if you don’t have access to the BeSt system itself, understanding its principles can improve how you approach trading:
⚪ Look for Patterns: Start tracking how certain stocks perform in relation to each other and over various days. You might begin to notice patterns that can guide your trading decisions.
⚪ Use Available Tools: Many trading platforms offer basic tools for analyzing stock trends and predicting movements. Use these to start making more informed decisions.
█ Limitations
While the findings of this study are valuable, they come with limitations that traders should consider. The study focused on large-cap stocks listed on major exchanges, which may not apply to smaller-cap stocks or those on less liquid markets. Additionally, the historical data may not fully account for the market's future conditions as market dynamics continually evolve.
█ Reference
Baralis, E., Cagliero, L., Cerquitelli, T., Garza, P., & Pulvirenti, F. (2017). Discovering profitable stocks for intraday trading. Information Sciences, 405, 91-106.
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Disclaimer
This is an educational study for entertainment purposes only.
The information in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell securities. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on evaluating their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
🔴SELL ZONES & DEMAND ZONES🟢Get used to detecting SELL ZONES & DEMAND ZONES.
This is one of the easiest TA and most effective.
This is AMZN 1 hr TF.
Should be pretty self-explanatory.
I draw these zones on multiple time frames, the larger the time frame the stronger the probability of the zone to be true.
So pretty much, you'd want to buy when you're in the buy zone, or close enough.
And vice versa when it comes to selling.
How The Economy Affects The Stock Market ? How The Economy Affects The Stock Market ?
There are many factors that affect how the stock market is doing, and whether it’s moving up or down: the political climate, social factors, interest rates, trends and shifts in what investors prefer.
So how does the economy affect the stock market?
If the general population feels as if the economy will soon be taking a turn for the worse, they tend to sell stock because bonds and treasuries offer a safer return. On the flip side, when people are feeling confident and optimistic about the economy, they tend to buy stock, taking more risk for greater reward.
From a high-level approach, when people feel good about the economy, they tend to buy more stock. When things are happening in the world make them feel unsure, they will be more conservative, and might gravitate toward lower-risk investments such as bonds and Treasury bills.
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Barrelin 2.0 - Without Rules There Is Chaos!I am now about 4 weeks into sharing my #Barrelin pattern and associated trading strategy mostly on Twitter.
In that time I have developed more regimented rules in hopes of automating the hunting if not the trades themselves. Here is the strategy as it stands today:
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Entry
4hr close above 75% on RSI (14)
Continuation
Hold EMA (8) on 4hr close
OR
1D close above 75% on RSI (14) (aka ‘Handoff to 1D’) AND Hold EMA (8) on 1D close
OR
1W close above 75% on RSI (14) (aka ‘Handoff to 1W’) AND Hold EMA (8) on 1W close
OR
1M close above 75% on RSI (14) (aka ‘Handoff to 1M’) AND Hold EMA (8) on 1M close
Exit
Close below EMA (8) on current timeframe that is #Barrelin
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These handoffs are ideal but I am also starting to see, especially in stocks, the 4hr time frame is not only awkward with the limited trading but there are entries all the time on the higher timeframes without handoffs. The lower timeframes give an idea of momentum and personal preference can be used what timeframe to enter. This brings context to if you are “late” or not.
I have posted over 650 tweets in those 4 weeks so searching through #Barrelin will help give a better idea of the ridiculous gains with it.
Obviously there are fails and losers as well. I try to post these as well in order to see where the strategy can grow and evolve.
The biggest evolution I am currently working on is a trailing take profit with a re-entry. Not sure how hard that part will be to automate but might as well fine tune the idea as much as possible and see what comes of it.
Just with the shear volume of crypto and stocks I am following I have narrowed things down to just BTC pairs on Binance for crypto and no longer monitoring timeframes below the 4hr. It is personally impossible to still have any sort of life at that level.
As for stocks I have been transformed into a fanboy!!! I can’t believe it. The gains seem to be more consistent and much more explosive - at least in the current atmosphere. There is still crypto popping off but I recommend crypto lovers to give my timeline a visit to see the crazy gains.
I am loving the engagement with me and my strategy and I feel it is helping people which os my ultimate goal. I look forward to what the next 4 weeks brings as I try to scale this.
Thanks for reading all the way through. Time is precious and I appreciate you investing some of your time here.
How i know what stock have a good future in a crisis - TutorialHello,
Some people asked in Telegram / PM how i know what stock will go up and which one should them short or long.
I made a list about the different sectors of SPX 500 if its needed to go bear or bull on it.
After you choose the sector you need to check the ADX of the coorporation, it need to be strong and always remember to chose the strongest coorporations of the sector that you selected.
Here is the graphic:
imgur.com
You can see my last charts that i did green on almost all of them.
Hope you liked and helped to you!
Please follow me to keep doing daily analysis for free!
Thank you so much!
Regards,