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What is Volume Weighted Average Price (VWAP)?

Understanding Volume-Weighted Average Price (VWAP): A Guide for Traders

In the realm of trading, technical analysis plays an essential role in crafting profitable strategies. One fundamental tool in a trader's arsenal is the Volume-Weighted Average Price (VWAP), a significant indicator that combines both price and volume. This article provides an in-depth understanding of VWAP and its relevance in market trading.

Defining Volume-Weighted Average Price (VWAP)

The Volume-Weighted Average Price (VWAP) is a powerful statistic used by traders to gauge the average price of a security, based on both its trading volume and price. Unlike other averages, VWAP assigns more weight to prices associated with higher trading volume. Consequently, it provides a more accurate reflection of the market sentiment by factoring in the intensity of trading activity at various price levels.

The Utility of VWAP in Trading

Traders utilize VWAP for multiple reasons. At its core, it helps ascertain the influence of volume on prices. Traders, both retail and professional, employ it as a yardstick to confirm trends and make informed decisions about taking long or short positions. Its utility extends beyond individual traders, as large institutions often resort to VWAP to avoid disrupting market prices, identifying liquid and illiquid price points to prevent substantial price deviations from the averages.

When charted, VWAP can function akin to a moving average, with prices above the line suggesting bullish tendencies and below it indicating bearish trends. Additionally, it can serve as a pivot point. Intraday prices above the previous day’s VWAP are likely on an upward trajectory, whereas prices below the previous VWAP might indicate a potential fall.

VWAP and Simple Moving Average (SMA): A Comparative Study

Visually, VWAP may resemble the Simple Moving Average (SMA), but their underlying mechanisms are different. An SMA is a technical indicator helping traders ascertain whether a bull or bear trend will persist or reverse. It is calculated by summing up the closing prices for a given time period and dividing the total by the number of time periods used for the average. However, unlike VWAP, SMA does not factor in trading volume, which is a significant determinant of market sentiment.

The Limitations of VWAP

While VWAP is a valuable tool, it is not without its limitations. As a daily measure recalculated each day, VWAP can distort long-term trends. Its reliance on historical values diminishes its predictive capabilities, often resulting in lagging values that may not accurately represent future price movements. Therefore, traders need to complement VWAP with additional signals to confirm or reconsider their potential trading decisions. Modern tools such as artificial intelligence, like Tickeron’s A.I.dvisor, can provide traders with powerful ways to evaluate trade ideas, analyze signals, and derive key confirmations for rational and effective trading decisions.

VWAP: A Reflection of Intraday Price Trends

The VWAP, being reset at the start of every new trading session, serves as a critical benchmark that indicates the average price a security has traded at throughout the day, based on both volume and price. It offers traders a clear view of price action throughout a single day's trading session. While it bears similarity to a moving average line on intraday charts, its smooth appearance and responsiveness to volume make it particularly useful for short-term traders.

The Significance of VWAP

The Volume-Weighted Average Price (VWAP) is a potent technical analysis indicator utilized by traders to determine the average price of a security based on both price and volume. It offers valuable insights into the trend and value of a security, assisting traders in making informed intraday price trend decisions. Although it has certain limitations, when used in conjunction with other tools and indicators, VWAP can enhance the effectiveness and profitability of trading strategies.


The Volume Weighted Average Price (VWAP) helps traders consider the influence of volume on prices. VWAP is calculated by taking the average of prices from a time period and dividing it by the trading volume for the current day.

Traders use VWAP to confirm trends and decide whether to take long or short positions, while large institutions are likely to use VWAP to avoid disrupting market prices, finding the liquid and illiquid price points and trading so as not to move prices away from the averages.

VWAP can be used like a moving average when charted, with prices above the line reflecting Bullish tendencies and below the line Bearish tendencies. It can also be used as a Pivot Point, where intraday prices above the previous day’s VWAP are likely rising, or falling if intraday prices are below the previous VWAP.

The VWAP is visually similar to the Simple Moving Average (SMA), but they are not the same. A Simple Moving Average (SMA) is a technical indicator that can help traders determine whether a bull or bear trend will continue or reverse course, and typically adds up closing prices for a given time period, then divides that figure by the number of time periods used for the average. It does not take volume into account, however, like VWAP.

Like all indicators, VWAP has weaknesses. Because it is a daily measure, calculated daily, VWAP can misrepresent long-term trends. Its reliance on historical values means it has limited predictive capability, and it is prone to lag. That’s why it’s especially important for traders to look for additional signals to confirm or reconsider their potential trading decisions. Fortunately, A.I. is here to help. Tickeron’s Artificial Intelligence, known as A.I.dvisor, gives traders powerful ways to evaluate trade ideas, analyze signals, and provide the key confirmation needed to make rational, emotionless, and effective trades.

Tickeron's Offerings

The fundamental premise of technical analysis lies in identifying recurring price patterns and trends, which can then be used to forecast the course of upcoming market trends. Our journey commenced with the development of AI-based Engines, such as the Pattern Search Engine, Real-Time Patterns, and the Trend Prediction Engine, which empower us to conduct a comprehensive analysis of market trends. We have delved into nearly all established methodologies, including price patterns, trend indicators, oscillators, and many more, by leveraging neural networks and deep historical backtests. As a consequence, we've been able to accumulate a suite of trading algorithms that collaboratively allow our AI Robots to effectively pinpoint pivotal moments of shifts in market trends.

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