Exploring Reuters Finance Data for Strategic Investing
Intro
In the ever-changing world of finance, having the right data can make all the difference. Investors, whether seasoned or new, find themselves navigating a sea of figures, trends, and analytics, all of which can dictate the success or failure of an investment decision. In this landscape, Reuters finance data holds a prominent position, acting as a beacon for those who wish to make informed choices. This article will shine a light on the nuances of this data resource, exploring its types, applications, limitations, and overall significance in today’s complex economic climate.
With a focus on providing actionable insights, we aim to dissect the intricate layers that make up Reuters finance data. From understanding essential terms and products to interpreting the data meaningfully, everything cements an investor's strategy and fosters better financial decision-making.
Investment Dictionaries
Key Terms Explained
Understanding the financial vocabulary is paramount for anyone serious about investing. Because, let’s face it, financial jargon isn’t exactly bedtime reading. Knowing what terms like liquidity, arbitrage, and volatility mean can transform a cluttered mind into a well-oiled decision-making machine. Here’s a brief look at some key terms:
- Liquidity: The ability to quickly convert an asset into cash without much impact on its value.
- Arbitrage: The simultaneous buying and selling of an asset in different markets to exploit price differences.
- Volatility: A statistical measure of the dispersion of returns for a given security or market index.
Being familiar with the fundamental terms aids in comprehending more complex analyses and data interpretations.
Glossary of Financial Terminology
Building on the understanding of key terms, let’s expand our vocabulary with some additional essential financial terms:
- Equity: Ownership interest in a firm, represented by shares.
- Derivative: A financial security whose value is reliant upon or derived from an underlying asset or group of assets.
- Margin: The difference between the selling price of a product and the cost of producing it.
Arming yourself with this glossary creates the bedrock of financial literacy, essential for grasping the larger concepts that Reuters finance data encapsulates.
"Mastering financial terminology is not just about knowing what words mean; it's about understanding the entire narrative that unfolds in the world of finance."
Product Reviews
In-Depth Analysis of Financial Products
Investors continually evaluate various financial products when formulating their strategies. Reuters provides in-depth analysis on several key products:
- Stocks: Company shares that represent ownership and a claim on assets and earnings.
- Bonds: A form of loan made by an investor to a borrower, typically a corporation or government.
- Pros: High liquidity, potential for dividends, and capital gains.
- Cons: Market risk and volatility can lead to significant losses.
- Pros: Fixed interest payments and less risk compared to stocks.
- Cons: Lower returns and interest rate risks.
Understanding various financial products through Reuters' lens enables investors to create diversified portfolios tailored to their risk tolerance and investment horizons.
Pros and Cons Comparison
Engaging with Reuters finance data often involves weighing the benefits and drawbacks of investment choices. Here’s how some elements stack up:
- Real-Time Data Access:
- Comprehensive Coverage:
- Pros: Provides immediate insights and timely information.
- Cons: May lead to information overload for inexperienced investors.
- Pros: Access to a wide range of financial assets and markets.
- Cons: Requires adeptness to sift through and find relevant data.
Investors who effectively analyze these pros and cons can harness Reuters’ comprehensive offerings while simultaneously mitigating risks associated with insufficient or misconstrued data.
Through grasping these foundational principles and the nuances of financial products, individuals are set on a path toward becoming informed, strategic investors.
Understanding Financial Data
Understanding financial data is a cornerstone of informed investment strategies. This section dives into the significance of financial data, as well as the different types that investors encounter. Grasping these concepts is critical for anyone aiming to navigate the ever-changing waters of financial markets. Not only does financial data equip investors with vital information, but it also shapes their decision-making processes.
The Importance of Financial Data in Investing
Investors often hear the phrase, "knowledge is power." This saying rings particularly true in finance. Financial data serves as the compass for investors looking to chart their course. Whether one is a seasoned trader or a novice seeking to dip their toes in the market, the ability to analyze financial data can mean the difference between success and disappointment.
Data acts as a lens through which investors can view the market dynamics clearly—providing insights into market trends, investor sentiment, and economic indicators. Thus, financial data not only helps one identify potential opportunities but also alerts investors to possible risks. Investing without understanding this data is like sailing without a map; sure, you may set out, but you may also end up lost.
Types of Financial Data
Financial data can be categorized into three main types: Market Data, Fundamental Data, and Technical Data. Each type serves a different purpose and offers unique insights that are crucial for making informed investment decisions. Understanding these categories is essential.
Market Data
Market Data refers to real-time information about the trading activity in financial markets. This includes stock prices, trading volumes, and bid-ask spreads. Investors rely on this data to gauge market sentiment and assess the liquidity of particular stocks or commodities.
One key characteristic of Market Data is its immediacy. It provides a snapshot of current market conditions, making it a beneficial resource for active traders. Investors can make swift decisions based on the latest trading trends.
However, real-time data can also be a double-edged sword. The fast-paced nature of Market Data can sometimes lead investors to make hasty decisions based on momentary fluctuations, rather than long-term trends. As the saying goes, "don’t throw good money after bad," hence, one must exercise caution and consider the broader picture.
Fundamental Data
Fundamental Data revolves around the inherent value of an investment. It includes financial statements, earnings reports, and economic indicators such as Gross Domestic Product (GDP). By analyzing this data, investors can assess a company's performance and make projections about its future growth.
A key characteristic of Fundamental Data is its focus on intrinsic value, which makes it a popular choice for long-term investors. This data often reveals whether a company’s stock is overvalued or undervalued compared to its true worth.
However, one unique feature of Fundamental Data is that it is often released at scheduled intervals. Earnings reports, for instance, typically come out on a quarterly basis. This can create a lag in data availability, which may disadvantage investors looking for real-time insights. Therefore, it’s vital for investors to be patient and attentive to these timeframes, as good things often come to those who wait.
Technical Data
Technical Data is all about patterns and trends in market price movements. It utilizes charts and indicators to predict future price trajectories based on historical data. This type of data is often favored by short-term traders who rely on past market behavior to guide their trading choices.
The primary characteristic of Technical Data is its reliance on visual representation. Charts can make it easier for even the most complex concepts to become digestible. It’s a beneficial tool for quick decision-making, especially in volatile markets.
However, one must tread carefully with Technical Data. While it can provide a wealth of information, it is also subject to interpretation. Different traders might read the same chart in vastly different ways, leading to conflicting conclusions. It's often said that the art of reading technical data can be as unpredictable as the markets themselves.
"Data is the new oil. It has to be refined, processed, and treated before it can create value."
In summary, understanding financial data is not just about collecting numbers; it's about interpreting them in a way that adds value to investment decisions. With Market, Fundamental, and Technical Data as the trio of critical components in the investor's toolkit, the informed investor can tackle the complex financial landscape with confidence.
An Overview of Reuters Finance Data
Understanding the nuances of financial data provided by Reuters is essential for any investor aiming to make informed decisions. Reuters finance data is not just a collection of statistics; it embodies real-time market insights, trends, and forecasts that can significantly impact investment strategies. To navigate today's complex financial landscape, grasping the depth and breadth of the information available through Reuters is critical.
What is Reuters Finance Data?
Reuters finance data refers to a comprehensive assortment of financial information sourced from various markets, trading platforms, and economic indicators. This data is crucial for investors looking to assess market performance, evaluate individual investments, and identify emerging trends. When you access Reuters data, you get more than just numbers; you receive a well-rounded view of market activity that includes:
- Real-time stock prices and updates on company performance.
- Information on market indices that track the health of entire sectors or economies.
- Economic reports covering key indicators like GDP and employment statistics.
In essence, Reuters finance data serves as a vital compass for investors, guiding them through the fluctuating waters of financial markets.
Source and Reliability
The reliability of Reuters finance data cannot be overstated. Given the high stakes involved in investment decisions, the sources from which this data is drawn are meticulously vetted to ensure accuracy. Reuters employs a network of seasoned journalists and financial analysts who collect, verify, and disseminate market information. This rigorous process ensures that the data you’re accessing is:
- Current: Timeliness is key in financial markets where conditions can change overnight.
- Accurate: Each piece of data is cross-verified against multiple sources to eliminate discrepancies.
- Comprehensive: With access to various financial networks and reports, Reuters covers diverse aspects of finance.
"In finance, even a minor detail can lead to significant discrepancies in decision-making. Reliable data is non-negotiable."
Investors can thus approach their strategies with a greater level of confidence, knowing that they are using data that is both robust and precise. This level of reliability shapes how investors interpret market dynamics and plan their investment strategies.
Key Components of Reuters Data
In the world of finance, data serves as the backbone of informed decision-making. Understanding the key components of the data offered by Reuters is crucial for any investor who wishes to navigate the complex labyrinth of the financial markets. These components—market indices, stock prices, and economic indicators—are not just mere numbers; they embody the heartbeat of the market and influence trading strategies, investment decisions, and financial forecasting.
Market Indices
Market indices, such as the S&P 500 or the Dow Jones Industrial Average, act as barometers for the overall performance of the stock market. These indices synthesize the performance of various stocks into a single figure, making it easier for investors to gauge market trends and sentiment. They are indispensable for anyone looking to understand market dynamics quickly. By tracking these indices, investors can make educated guesses about market directions, thereby refining their investment strategies.
Stock Prices
Stock prices represent the value attributed to a company’s shares, fluctuating based on demand and supply. They are among the most critical data points for investors, as these prices dictate the buy and sell decisions in a trading portfolio. The granular detail provided by Reuters can help investors identify notable trends, such as bullish or bearish behaviors in specific sectors. Rather than merely focusing on current prices, it's beneficial to analyze historical data as well. This brings in context—an understanding of how a stock reacts to various market conditions can be a game changer.
Economic Indicators
Economic indicators, like GDP reports and employment figures, are more than just statistics; they reflect the overall health of an economy. Investors often rely on these indicators to predict market movements and adjust their strategies accordingly.
GDP Reports
GDP reports provide a snapshot of a country's economic performance. They measure the total value of all goods and services produced over a specific time frame. This piece of data is largely beneficial to investors as it illustrates the pace of economic growth or contraction. A growing GDP usually implies a healthy economy, often leading to increased consumer spending and, ultimately, higher stock prices. However, it’s essential to consider the characteristic time lag; GDP is often reported quarterly, meaning that the data may not reflect the current economic conditions. Nonetheless, it serves as a benchmark for assessing long-term trends.
Employment Figures
Employment figures offer insight into the job market's health, which is closely tied to consumer confidence and spending. High employment rates can lead to increased disposable income, stimulating economic growth. Investors typically see these figures as gauges for market health—the more jobs created, the stronger the economy tends to be. For example, data indicating substantial job creation can signal a potential rally in stock markets. Nevertheless, it’s important to scrutinize these numbers carefully, as they can be influenced by seasonal fluctuations and other factors that may not provide a complete picture.
"Understanding key components such as market indices, stock prices, and economic indicators is fundamental for investors seeking successful strategies in financial markets."
Once investors comprehend how to utilize these components effectively, they can harness the power of Reuters finance data to navigate the complex financial landscape and make more informed decisions.
Utilizing Reuters Finance Data
When it comes to investment decisions, having access to reliable and comprehensive data is key. Utilizing Reuters Finance Data takes a central role in shaping informed strategies. It’s not just about having numbers at your fingertips; it's about effectively interpreting and applying that information in real-world scenarios. Investors can leverage this data to identify market trends, assess risk levels, and make timely decisions, ultimately enhancing potential returns. The breadth of information available through Reuters can transform a basic investment approach into a more nuanced and data-driven strategy.
Tools and Platforms
Reuters Eikon
Reuters Eikon stands out as a premier tool for finance professionals. This platform offers an intuitive interface coupled with a powerful analytical engine that provides real-time data and insights from numerous financial markets. One main advantage of Eikon is its comprehensive data access; it covers a wide range of asset classes, granting users a multi-dimensional view of the market landscape. Accessing timely reports and news updates ensures that investors stay ahead of the curve, which is crucial for making quick, informed choices.
A pertinent feature of Eikon is its customizable dashboards. This permits users to tailor their views according to their specific interests or strategies, making the data experience uniquely personal. However, while the platform offers an immense volume of information, the challenge for less experienced users is the steep learning curve that may accompany it. This can lead to a sense of overwhelm, though practice often smooths out these bumps.
Web Access
On the other hand, Web Access to Reuters data provides an alternative that caters to those who prefer straightforward, on-the-go access. It’s less cumbersome than its desktop counterpart, ideally suited for individuals who require essential market insights without all the frills. The primary benefit here is convenience — users can retrieve vital updates directly through their web browsers, anywhere there’s an internet connection.
One notable feature is the mobile optimization; information presented is often more digestible on smaller screens. This might simplify some complex views compared to Eikon. While useful, Web Access might not offer the depth of analysis that advanced users seek. The trade-off between simplicity and comprehensive insights is always in play.
Data Analysis Techniques
Diving deeper, we reach the realm of Data Analysis Techniques, which transform raw Reuters data into actionable insights.
Statistical Analysis
Statistical Analysis serves as a backbone for evaluating market data. It enables investors to identify patterns and correlations within the vast sea of numbers provided. The power of statistical tools lies in their ability to distill complex data sets into digestible and understandable metrics, facilitating easier decision-making processes. Techniques such as regression analysis or time series analysis help in forecasting market trends with a fair degree of reliability.
The main allure of statistical analysis is its ability to deal with uncertainty, allowing investors to quantify risks. However, a caveat exists: while insights drawn from statistics can be potent, they rely heavily on historical data. This means they can miss out on sudden market shifts, often termed as 'black swan events'. Investors need to remain cognizant of this limitation in their strategies.
Charting
Lastly, Charting has emerged as a visual tool that complements basic data interpretation. It allows investors to visualize trends, patterns, and potential future movements through graphs and other visual representations. By employing charting techniques, one can easily ascertain price trends or resistance levels with mere glances at colorful line graphs. The immediacy of visual data can often be more graspable than tables filled with cold, hard numbers.
A distinct feature of charting is the use of technical indicators, such as moving averages, which many traders rely on heavily. However, the reliance on charting alone can lead to oversimplifications. Hence, blending this technique with thorough fundamental analysis is an advisable approach to ensure a well-rounded outlook.
In summary, whether one is using Reuters Eikon, Web Access, statistical methods, or charting strategies, the landscape of finance data utilization is intricate and demands careful navigation. Each tool and technique has its strengths and weaknesses, but together they provide a comprehensive toolkit for modern investors.
Interpreting Financial Data
Understanding how to interpret financial data is crucial for any investor. The ability to analyze trends, recognize patterns, and situate the data in its economic context lays the groundwork for informed decision-making. Ultimately, it’s about making sense of numbers that can seem daunting at first glance.
Reading Market Trends
Market trends are essentially the pulse of the economy—they tell you where things are headed. Recognizing these trends can set apart successful investors from those who end up missing the boat.
To start, an investor must train themselves to look beyond the surface of charts and graphs. Basic elements like price movements, volume of trades, and market volatility offer key insights. For instance, a sharp rise in stock prices paired with high trading volume typically signals strong positive sentiment among investors. Conversely, if prices are plummeting but volumes are low, that might indicate a lack of conviction, suggesting a potential buying opportunity for those who remain skeptical.
Here are some techniques to hone your skills in reading market trends:
- Trend Lines: Drawing trend lines helps visually predict future price movements, based on historical data.
- Moving Averages: A moving average smooths out price data over a specified period, making it easier to identify long-term trends.
- Momentum Indicators: These indicators can gauge the strength of a trend, assisting in identifying entry or exit points in the market.
In your analysis, never forget that market trends are influenced by broader economic factors, thus requiring a holistic view.
"Numbers may not lie, but they don't tell the whole story either."
Understanding Economic Context
The importance of understanding the economic context around financial data cannot be overstated. Economic indicators are the litmus tests of the economic environment, and they can provide essential clues regarding future market behavior. An investor who fails to account for these indicators may find themselves flying blind.
Economic reports like GDP growth rates, inflation rates, and unemployment figures affect market conditions significantly and alter investor sentiment. For example, a rising unemployment rate often leads to lower consumer spending, which may affect corporate earnings negatively, thereby influencing stocks.
Some key indicators to keep an eye on include:
- Consumer Confidence Index (CCI): A leading indicator that reflects the optimism or pessimism of consumers about the economy.
- Purchasing Managers' Index (PMI): This measures the health of the manufacturing sector, providing insights into overall economic activity.
- Central Bank Announcements: Decisions made by central banks regarding interest rates can have immediate effects on financial markets.
Understanding these pieces in tandem with Reuters finance data offers a robust framework for making investment decisions. It paints a fuller picture, allowing investors to not only react to market changes but anticipate them, leading to more adept investment strategies.
Limitations of Reuters Finance Data
When considering the wealth of information available through Reuters finance data, it's crucial to recognize that all sources have their limitations. This section outlines the prominent challenges surrounding the data, particularly in the realms of accuracy and timeliness, as well as the overarching impact of market volatility. Understanding these limitations is paramount for investors who wish to make well-informed decisions based on the data at hand.
Data Accuracy and Timeliness
Data accuracy is not just a hiccup in reporting; it can impact investors' bottom lines. Reuters, like any information provider, may occasionally face challenges that affect the precision of the data it offers. This can stem from various roots, such as data entry errors, and discrepancies from original reporting, or even outdated models for forecasting.
In an environment where markets may pivot within moments, the timeliness of data is equally significant.
- If information arrives late, an investor might find themselves lagging behind competitors who accessed more current figures.
- Relying on stale or inaccurate data doesn't just introduce risks; it can lead to suboptimal trading decisions.
"In the world of finance, to delay is to deny—timely data can be the thin line between profit and loss."
Investors should always be vigilant, cross-checking Reuters data with other reliable sources. A tailored strategy that incorporates real-time monitoring can also help mitigate issues related to accuracy and timeliness.
Market Volatility
Market volatility poses another thick cloud on the horizon. Sudden shifts in market dynamics can distort the information that Reuters aggregates. The interplay of geopolitical tensions, economic policies, and unforeseen events—think natural disasters or political upheavals—often leads to price fluctuations that can challenge even the best data providers.
This means that the snapshots of data available through Reuters might reflect oversimplified market conditions:
- Earnings Reports: When a company reports earnings that surprise analysts, stock prices can swing dramatically. If multiple reports are due around the same time, it can create a chaotic environment, casting doubt on the accuracy of other data points.
- Economic Indicators: Global economic data like GDP or unemployment rates can shift rapidly. Such fluctuations can lead to surprising market movements that may render previously sound investment strategies ineffective.
Investors should brace themselves for these unpredictable shifts. Considering risk management and possibly wider ranges of data sets can provide a buffer against the unexpected. In essence, understanding the fluidity of market conditions and the limitations of available datasets aids investors in navigating their decisions with greater care.
Recognizing the limitations of Reuters finance data does not diminish its value. Instead, it serves as a cautious reminder to actors in the investment landscape—approaching data and interpretation with both analytical rigor and an awareness of its constraints is essential for successful investing.
The Ethical Use of Financial Data
Understanding the ethical use of financial data is paramount in today's investment landscape. Investors and financial professionals hold a responsibility in how they utilize information, as misuse can lead to severe consequences not only for themselves but for the wider market as well. The tenets of ethical data usage serve as a compass, guiding decision-making processes and ensuring that they align with industry standards and morality.
Regulatory Guidelines
Regulatory frameworks exist worldwide to ensure that financial data is used responsibly and ethically. These include compliance mandates from organizations such as the Securities and Exchange Commission in the United States or the Financial Conduct Authority in the United Kingdom. Such bodies stipulate rules on transparency and fairness that must be followed to protect investors.
For instance, inside these regulations, there are guidelines around:
- Data accuracy: Companies must provide truthful and easily verifiable information to avoid misrepresentation.
- Insider trading laws: Investors should refrain from trading based on confidential information not accessible to the general public.
- Privacy: Individual investors’ data should be handled with care, ensuring that personal finance details aren't mishandled or misused.
"Adhering to regulatory guidelines is not just about avoiding penalties; it’s about fostering trust in the financial markets."
As regulations continue to evolve in sync with technological advancements, it’s imperative that investors stay informed, ensuring compliance while engaging with financial data.
Investor Responsibilities
Investors must recognize their role in the broader financial ecosystem. The ethical responsibility begins with how they interpret and use financial data sourced from platforms like Reuters. Investors should critically assess information before making decisions, avoiding hasty judgments based on headlines or surface-level data.
Key responsibilities include:
- Due diligence: Engage in thorough research to make educated decisions based on accurate data. This reduces reliance on hearsay and increases confidence in investment choices.
- Awareness of bias: Understand that even reputable sources can present information through a certain lens. It's essential to cross-reference data to gain a well-rounded perspective.
- Social responsibility: Investing should also consider the moral and ethical implications. As stewards of capital, investors should weigh the impact of their choices on society and the environment.
Future Trends in Financial Data Analysis
As we look forward, the landscape of financial data analysis continues to evolve rapidly. Investors and financial professionals alike must stay ahead of the curve to effectively navigate these changes. This section delves into the upcoming trends in financial data analysis, highlighting notable advancements in technology and the significant impact of big data on investment strategies.
Advancements in Technology
The speed of technological innovation has not only transformed how data is collected but also how it is interpreted and utilized. Transformative advancements in tools and methodologies have become essential for investors seeking to maintain a competitive edge.
Machine Learning Applications
Machine learning is making waves in financial data analysis, allowing for sophisticated predictive models that were once merely theoretical.
One of the main characteristics of machine learning applications is their ability to analyze vast amounts of data quickly. This capability becomes a real game-changer in scenarios where market conditions change on a dime. By identifying patterns and trends from historical data, these systems can deliver insights that are remarkably accurate, enhancing decision-making processes for investors.
A unique feature of machine learning is its capacity for continual learning. As new data pours in, algorithms can adjust and adapt, ensuring they remain relevant and sharp. However, while the benefits are substantial, there are also disadvantages; for instance, relying solely on machine-generated insights can obscure the human intuition that is vital in investment.
Data Visualization
Data visualization is another critical component in the future of financial analysis. The importance of this will not be underestimated in the financial community. It enables investors to digest complex data sets effectively, creating a narrative that aids in understanding and decision-making.
A key characteristic of data visualization is its ability to represent data in forms that are quick to understand–charts, graphs, and dashboards. This clarity is particularly beneficial when small fluctuations could signal larger trends, making it easier for investors to spot opportunities or risks.
Moreover, the unique advantage of data visualization lies in its capability to communicate complex information simply. With the rise of interactive visuals, many can engage with data at a more granular level, although this can sometimes lead to misinterpretation if the visuals aren't well-designed or are too elaborate.
Impact of Big Data
Big data is not just a buzzword; it has a sweeping impact on how financial data is analyzed. With the availability of information like never before, investors have access to a remarkable volume of data. This could range from traditional market indicators to broader economic factors and even behavioral insights.
The key benefit of integrating big data into financial analysis lies in the depth of insight it provides. Investors can undertake more nuanced analyses by synthesizing data from various sources. However, the challenge arises in managing this data efficiently. Handling vast quantities requires robust frameworks and analytical strategies, which some firms may lack.
"Big data has the potential to be a goldmine for insights, but without the right tools and skills, it can feel like navigating a minefield."
Summarizing Key Takeaways
In closing this article, understanding the key takeaways regarding Reuters finance data becomes essential for investors navigating today’s intricate financial landscape. The information we dissected provides a clear perspective on how to effectively leverage this data to sharpen investment strategies. By categorizing data into types such as market, fundamental, and technical, investors can tailor their approach to suit individual objectives. The significance of having access to reliable sources cannot be overstated; it’s akin to having a solid map when entering uncharted territory.
The Role of Reuters in Investment Strategy
Reuters’ finance data acts as a backbone for many investors’ strategies. Let’s break this down:
- Data Variety: The breadth of financial data available allows for comprehensive analysis, enabling investors to see the bigger picture.
- Timeliness: Rapid updates on market shifts help in making informed decisions, crucial for anyone wishing to stay ahead in a fast-paced market.
- Integrated Platforms: Tools like Reuters Eikon seamlessly tie various data points together, helping investors visualize trends and make connections that would otherwise be obscured.
When creating an investment strategy, the value of Reuters cannot be ignored. Its blend of historical data, real-time updates, and predictive analytics empowers investors to not only react to market changes but to anticipate them. By marrying qualitative insights with quantitative data, Reuters lays a solid foundation upon which investors can build their strategies.
Final Thoughts on Data Utilization
Wrapping our discussion, let’s reflect on the ethical and practical implications of utilizing financial data. Investing is more than just number crunching; it’s about making informed choices that align with personal or client goals.
- Ethical Considerations: Following regulatory guidelines ensures that the data is used responsibly, enriching the investor community. Investors who disregard these may not only face penalties but also damage their reputations.
- Continual Learning: The world of finance is ever-evolving. Investors must stay educated about new data trends and technologies, since what's relevant today might be obsolete tomorrow. One must always keep an ear to the ground and a finger on the pulse of market developments.
"The secret to investing is to know not only what to buy but when to sell."
