VWAP (Volume Average Weighted Pricing) Calculator

VWAP (Volume Weighted Average Price) Calculator

This tool calculates the Volume Weighted Average Price (VWAP) for a given set of trades or data points. VWAP represents the average price an asset has traded at throughout the day, based on both volume and price.

Enter your data points below, one per line, in the format: Price, Volume (e.g., 150.25, 1000). Ensure all data points represent a single, continuous period (e.g., one trading day).

Enter Price and Volume Data

Understanding VWAP & Formula

What is VWAP?

VWAP stands for Volume Weighted Average Price. It is a trading benchmark used by traders that gives the average price a security has traded for over a specific period (usually one day), weighted by volume. The goal of VWAP is to give traders a benchmark of the average price at which a security has traded throughout the day. VWAP is often used by large institutional buyers to minimize their market impact when accumulating positions.

VWAP Formula

The formula for calculating VWAP is:

VWAP = (Total Price * Volume) / (Total Volume)

More formally, for a series of trades or time bars (i=1 to N):

VWAP = ( Σ (Pricei * Volumei) ) / ( Σ (Volumei) )

Where:

  • Pricei is the price of trade 'i' (or the typical price for bar 'i', e.g., (High+Low+Close)/3). This calculator assumes Pricei is the price associated with Volumei.
  • Volumei is the volume of trade 'i' (or the volume for bar 'i').
  • Σ denotes the sum over the period.

How VWAP is Used

  • **Benchmark:** Traders use VWAP to judge if they bought or sold at a good price relative to the day's average. Buying below VWAP or selling above VWAP is generally considered favorable.
  • **Execution Strategy:** Large orders may be broken up throughout the day and executed with the goal of achieving an average execution price close to or better than the day's VWAP.
  • **Indicator:** Some traders use VWAP lines on charts as a dynamic support or resistance level.

VWAP Calculation Examples

Here are a few examples demonstrating how VWAP is calculated with different sets of data:

Example 1: Simple Trades

Scenario: Calculate VWAP for three trades.

Data:

10.00, 100
10.10, 50
10.05, 200
                             

Calculation:

  • Trade 1: Price * Volume = 10.00 * 100 = 1000
  • Trade 2: Price * Volume = 10.10 * 50 = 505
  • Trade 3: Price * Volume = 10.05 * 200 = 2010

Total (Price * Volume) ΣPV = 1000 + 505 + 2010 = 3515

Total Volume ΣV = 100 + 50 + 200 = 350

VWAP = ΣPV / ΣV = 3515 / 350

Result: VWAP ≈ 10.0429

Example 2: More Data Points

Scenario: Calculate VWAP for several data points representing bars.

Data:

55.50, 3000
55.60, 1500
55.45, 4000
55.70, 2000
55.55, 2500
                             

Calculation:

  • PV1: 55.50 * 3000 = 166500
  • PV2: 55.60 * 1500 = 83400
  • PV3: 55.45 * 4000 = 221800
  • PV4: 55.70 * 2000 = 111400
  • PV5: 55.55 * 2500 = 138875

Total (Price * Volume) ΣPV = 166500 + 83400 + 221800 + 111400 + 138875 = 721975

Total Volume ΣV = 3000 + 1500 + 4000 + 2000 + 2500 = 13000

VWAP = ΣPV / ΣV = 721975 / 13000

Result: VWAP ≈ 55.5365

Example 3: Zero Volume (Should be Ignored/Skipped)

Scenario: Calculate VWAP with a data point that has zero volume. The calculator should ignore points with zero or negative volume.

Data:

25.00, 500
25.10, 0
25.15, 300
                             

Calculation: The line "25.10, 0" is ignored as volume is zero.

  • PV1: 25.00 * 500 = 12500
  • PV2: 25.15 * 300 = 7545

Total (Price * Volume) ΣPV = 12500 + 7545 = 20045

Total Volume ΣV = 500 + 300 = 800

VWAP = ΣPV / ΣV = 20045 / 800

Result: VWAP ≈ 25.0563

Example 4: Higher Volumes

Scenario: Calculate VWAP for a stock with larger trade volumes.

Data:

180.50, 15000
180.60, 20000
180.40, 10000
180.70, 5000
                             

Calculation:

  • PV1: 180.50 * 15000 = 2707500
  • PV2: 180.60 * 20000 = 3612000
  • PV3: 180.40 * 10000 = 1804000
  • PV4: 180.70 * 5000 = 903500

Total (Price * Volume) ΣPV = 2707500 + 3612000 + 1804000 + 903500 = 9027000

Total Volume ΣV = 15000 + 20000 + 10000 + 5000 = 50000

VWAP = ΣPV / ΣV = 9027000 / 50000

Result: VWAP = 180.54

Example 5: Fractional Prices and Volumes

Scenario: Calculate VWAP using data with decimal places in both price and volume (common in some markets or calculations based on derived volume).

Data:

0.75, 10.5
0.76, 5.2
0.74, 8.8
                             

Calculation:

  • PV1: 0.75 * 10.5 = 7.875
  • PV2: 0.76 * 5.2 = 3.952
  • PV3: 0.74 * 8.8 = 6.512

Total (Price * Volume) ΣPV = 7.875 + 3.952 + 6.512 = 18.339

Total Volume ΣV = 10.5 + 5.2 + 8.8 = 24.5

VWAP = ΣPV / ΣV = 18.339 / 24.5

Result: VWAP ≈ 0.7485

Example 6: Crypto Trading

Scenario: Calculate VWAP for a cryptocurrency over a short period.

Data:

45000.00, 0.5
45100.00, 1.2
44950.00, 0.8
45050.00, 0.3
                             

Calculation:

  • PV1: 45000.00 * 0.5 = 22500
  • PV2: 45100.00 * 1.2 = 54120
  • PV3: 44950.00 * 0.8 = 35960
  • PV4: 45050.00 * 0.3 = 13515

Total (Price * Volume) ΣPV = 22500 + 54120 + 35960 + 13515 = 126095

Total Volume ΣV = 0.5 + 1.2 + 0.8 + 0.3 = 2.8

VWAP = ΣPV / ΣV = 126095 / 2.8

Result: VWAP ≈ 45033.93

Example 7: End-of-Day Trading

Scenario: Calculate VWAP during the last hour of trading with fluctuating prices.

Data:

75.20, 2000
75.15, 3500
75.30, 1800
75.25, 2500
75.40, 1200
                             

Calculation:

  • PV1: 75.20 * 2000 = 150400
  • PV2: 75.15 * 3500 = 263025
  • PV3: 75.30 * 1800 = 135540
  • PV4: 75.25 * 2500 = 188125
  • PV5: 75.40 * 1200 = 90480

Total (Price * Volume) ΣPV = 150400 + 263025 + 135540 + 188125 + 90480 = 827570

Total Volume ΣV = 2000 + 3500 + 1800 + 2500 + 1200 = 11000

VWAP = ΣPV / ΣV = 827570 / 11000

Result: VWAP ≈ 75.2336

Example 8: Limited Data Points

Scenario: Calculate VWAP with only a few trades.

Data:

99.80, 100
100.10, 50
                             

Calculation:

  • PV1: 99.80 * 100 = 9980
  • PV2: 100.10 * 50 = 5005

Total (Price * Volume) ΣPV = 9980 + 5005 = 14985

Total Volume ΣV = 100 + 50 = 150

VWAP = ΣPV / ΣV = 14985 / 150

Result: VWAP = 99.90

Example 9: High Volume at One Price

Scenario: A significant volume traded at a specific price point.

Data:

30.50, 1000
30.60, 500
30.55, 8000
30.70, 700
                             

Calculation: Note how the high volume at 30.55 heavily weights the VWAP towards that price.

  • PV1: 30.50 * 1000 = 30500
  • PV2: 30.60 * 500 = 15300
  • PV3: 30.55 * 8000 = 244400
  • PV4: 30.70 * 700 = 21490

Total (Price * Volume) ΣPV = 30500 + 15300 + 244400 + 21490 = 311690

Total Volume ΣV = 1000 + 500 + 8000 + 700 = 10200

VWAP = ΣPV / ΣV = 311690 / 10200

Result: VWAP ≈ 30.5578

Example 10: Price Fluctuations

Scenario: Calculate VWAP for data showing a price dip and recovery.

Data:

88.00, 1000
87.50, 2000
87.00, 3000
87.80, 2500
88.10, 1500
                             

Calculation:

  • PV1: 88.00 * 1000 = 88000
  • PV2: 87.50 * 2000 = 175000
  • PV3: 87.00 * 3000 = 261000
  • PV4: 87.80 * 2500 = 219500
  • PV5: 88.10 * 1500 = 132150

Total (Price * Volume) ΣPV = 88000 + 175000 + 261000 + 219500 + 132150 = 875650

Total Volume ΣV = 1000 + 2000 + 3000 + 2500 + 1500 = 10000

VWAP = ΣPV / ΣV = 875650 / 10000

Result: VWAP = 87.565

Understanding Price and Volume

Price in this context is the traded price of an asset. Volume is the quantity of the asset that traded hands at that price or during that time period...

Data Format Reference

The calculator expects each line in the input box to contain two numbers separated by a comma: the Price followed by the Volume. Ensure volumes are positive numbers for meaningful calculation.

Frequently Asked Questions about VWAP

1. What does VWAP stand for?

VWAP stands for Volume Weighted Average Price.

2. How is VWAP different from a simple average price?

A simple average price just adds up all prices and divides by the number of data points. VWAP, however, multiplies each price by its corresponding volume, sums these values, and then divides by the total volume. This gives a more accurate "average" price considering how much was traded at each price level.

3. What is the main VWAP formula?

VWAP = Σ (Price * Volume) / Σ (Volume) for all data points in the period.

4. What kind of data is needed to calculate VWAP?

You need a series of data points, each containing a Price and the corresponding Volume traded at that price or during that specific bar (time period).

5. What is VWAP typically used for?

VWAP is primarily used by institutional traders as a benchmark to assess the quality of their trade executions and as a guide for breaking up large orders. Retail traders may use it as a trend or support/resistance indicator.

6. Why would a trader want to buy below VWAP?

Buying below the calculated VWAP for a period suggests the trader achieved an average entry price better than the average price weighted by volume over that period. This is generally considered a favorable execution.

7. Does the order of data points matter for the final VWAP calculation?

No, the final VWAP is a cumulative calculation over the entire period. The order in which the price/volume pairs are listed in the input does not affect the final VWAP value, only the total sums.

8. Can VWAP be calculated for any time period?

Traditionally, VWAP is calculated for a single trading day. However, the formula can be applied to any defined period (intraday, weekly, etc.) as long as you have the granular price and volume data for that specific period.

9. What happens if the total volume is zero?

If the total volume is zero (either no data is entered, or all entered data points have zero volume), VWAP cannot be calculated as it would involve division by zero. The calculator will show an error in this case.

10. Can I use different units for price and volume?

Yes, as long as you are consistent within your dataset. The VWAP result will be in the same units as your input prices.

Ahmed mamadouh
Ahmed mamadouh

Engineer & Problem-Solver | I create simple, free tools to make everyday tasks easier. My experience in tech and working with global teams taught me one thing: technology should make life simpler, easier. Whether it’s converting units, crunching numbers, or solving daily problems—I design these tools to save you time and stress. No complicated terms, no clutter. Just clear, quick fixes so you can focus on what’s important.

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