mean_price [CapiPedia]

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====== Mean Price ======
Mean Price is the simple mathematical average of a [[stock]]'s or other [[asset]]'s price over a defined period. Think of it like calculating the average temperature over a week; you add up each day's high temperature and divide by seven. In investing, you might add up a stock's closing price for the last 20 days and divide by 20. This calculation smooths out the daily noise and random price fluctuations, providing a clearer, more stable view of the asset's recent price history. While often a cornerstone of [[technical analysis]], the mean price is also the foundational concept behind widely used indicators like the [[Simple Moving Average (SMA)]]. For a value investor, it's not a tool to determine what a company is //worth//, but it can offer valuable context on market sentiment and historical price behavior, helping to gauge if the current price is unusually high or low compared to its recent past.
===== How is it Calculated? =====
The formula is wonderfully simple: **Mean Price = (Sum of Prices in the Period) / (Number of Periods)**
For example, let's say we want the 5-day mean price for "Capipedia Corp." using its daily closing prices:
  - Day 1: $50
  - Day 2: $52
  - Day 3: $51
  - Day 4: $54
  - Day 5: $53
The calculation would be: ($50 + $52 + $51 + $54 + $53) / 5 = $260 / 5 = **$52**.
So, the 5-day mean price is $52.
===== Why is the Mean Price Important for Investors? =====
The mean price itself is a static number, but its relationship to the //current// price is what provides insight. It helps investors answer a basic question: "How does today's price compare to the recent average?"
  * **Trend Identification:** If the current price is consistently trading above its mean price, it might indicate an upward trend. Conversely, trading consistently below the mean could signal a downtrend.
  * **Gauging Volatility:** The extent to which a price swings above and below its mean can be a simple indicator of [[volatility]]. A stock that hugs its mean price closely is more stable than one that makes wild voyages away from it.
  * **A Psychological Benchmark:** The mean price often acts as a psychological area of [[support and resistance]]. When a falling price approaches a significant long-term moving average, buyers might step in, viewing it as a "fair" price, providing support. Conversely, a rising price might face selling pressure as it hits that same average.
==== The Simple Moving Average (SMA) ====
The most common application of the mean price is the Simple Moving Average (SMA). Instead of being a single, static number, an SMA is a "rolling" mean price. For a 20-day SMA, on any given day, you calculate the mean price of the //last// 20 days. The next day, you drop the oldest day's price and add the newest one, calculating a new average. When plotted on a chart, this creates a smooth line that follows the general price trend, making it easier to visualize.
==== Mean Price in Value Investing ====
A true [[value investing]] approach, in the spirit of [[Benjamin Graham]] and [[Warren Buffett]], dictates that you should buy a business based on its underlying [[intrinsic value]]—its earnings power, assets, and future prospects—not its chart patterns. The mean price tells you nothing about a company's debt, its profit margins, or its competitive advantages. Therefore, it should **never** be the primary reason to buy a stock.
However, it can be a useful //secondary// tool for context and timing:
  * **Gauging Market Sentiment:** If a stock you've already analyzed and deemed undervalued is trading far below its long-term (e.g., 200-day) mean price, it suggests that market pessimism is particularly high. This could signal an even greater [[margin of safety]] and a potentially excellent entry point.
  * **Avoiding "Falling Knives":** Conversely, a value investor might wait for a plummeting stock price to stabilize or begin reverting toward its mean before buying, reducing the risk of buying into a company that is in a free-fall for a very good (and perhaps not yet public) reason.
===== Limitations and Pitfalls =====
The simplicity of the mean price is both its strength and its weakness. Be aware of its limitations:
  * **It's Backward-Looking:** The mean price is 100% based on past data. It has no predictive power and cannot tell you if a company's [[fundamentals]] have fundamentally improved or deteriorated.
  * **Sensitive to the Time Period:** A 10-day mean price will be very sensitive to short-term news, while a 200-day mean will be much slower to react. There is no "correct" period; the choice is arbitrary.
  * **Equal Weighting:** In a simple mean, the price from 20 days ago is given the exact same importance as yesterday's price. This might not be logical, as more recent prices are often more relevant. (Other indicators, like the [[Exponential Moving Average (EMA)]], try to solve this).
  * **It Ignores 'Why':** The mean price is a number devoid of a story. It can't tell you if a price dropped because of a bad earnings report, a market panic, or a fraudulent scandal. Always investigate the "why" behind the price movements.