FIYTA (000026) Stock Volume - Impact On Prices

| February 7, 2019More Stocks

This report analyzes the impact of recent 52-week volume of FIYTA (000026) stock on the share prices (and gains). After reading the report, you will be in a better position to assess the future impact of volumes on prices.

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Note: Volume is a measure of the total number of shares traded in the market. These are the tiny bars you will see at the bottom of the conventional price charts.

Below is a table of contents to help you navigate through the report. There are 5 sections in this analysis report.

  1. How FIYTA (000026) Weekly Volumes Are Affecting Price
  2. Did 30 Highest Volume Days Of 000026 Closed In Profits?
  3. How FIYTA (000026) Monthly Volumes Are Affecting Price
  4. Volume Of 000026 Vs Similar Stocks
  5. How Annual Volumes Are Affecting 000026 Price

Note: Do you want to know the best performing days, months and weeks of 000026 recently. We recommend you to read the 52-week highs/lows report for 000026.

1 How FIYTA (000026) Weekly Volumes Are Affecting Price

First, let us see a graph representing the weekly prices and volumes for the recent 52 weeks between 2018-01-28 and 2019-01-28.

Note: Since prices and volumes are on different scales, we have plotted the percentage change in volumes against the percentage change in prices. In other words, each value denotes the difference (%) between the spot volume/price and the initial volume/price at the start of the graph.

FIYTA (000026) Stcok Current Year Volumes By Weekly

Note: To understand how we created the above graph, here is a table showing sample data.

WeekPrice (Avg.) (¥)Price Change (%)Volumes (Avg.)Volume Change (%)
17.72022759760
510.1631.611891598-17
910.1831.872250109-1
1310.9141.325025581121
1710.2032.121293021-43
2110.0930.7264457316
258.6211.661184895-48
298.368.2924062096
337.25-6.091755411-23
377.780.781664886-27
427.17-7.121577500-31
467.720252623411
507.49-2.981759056-23

Now we are going to see if there is a relationship between weekly average volumes of FIYTA (000026) shares with that of the stock prices. We are going to check the "Correlation" between weekly volumes and prices.

Note: If the word correlation is new to you, here is a simple explanation. Correlation is a technique that apart from other things gives out a number called the correlation coefficient. This coefficient is a measure of how two variables (in our case price and volume) are related. The coefficient can assume values between -1 to +1. Before measuring the coefficient for 000026 shares, below is a table that will guide to interpret the value.

Value Interpretation
-1 to -0.5. If volume decreases price increases almost always
-0.5 to 0 If volume decreases price increases but not always
0 There is no relationship between volume and price
0 to 0.5 If volume increases price increases but not always
.5 to 1 If volume increases price increases almost always

FIYTA (000026) Stock's Price-Volume Correlation Coefficient

We are not going show you the elaborate method of finding the correlation coefficient. (You can read about the method in math books.) Instead, we will straightaway let you know the value between the average volume and price of 000026 shares.

Correlation Coefficient Between 000026 weekly volumes and prices = 0.2

Interpretation:

0.2 indicates a week positive correlation, if volume increases price increases but not always.

2 Did 30 Highest Volume Days Of 000026 Closed In Profits?

Note: *This section uses close and not adjusted close.

High volume corresponds to a high interest over a stock. There can be multiple reasons for people showing extraordinary interest towards a share. Positive news like higher than expected earnings will most certainly increase volumes and prices. Negative news like lower than expected profits and tax hikes can again lead to an increase in volumes (but there will be more selling than buying).

Now let us check if the top 30 highest volume days of FIYTA (000026) resulted in profits. Below table gives you the data.

DateVolumeOpen (¥)Close (¥)(Close - Open) (¥)Profit/LossGain (%)
2018-03-23955162910.110.260.16Profit1.58
2018-03-27835613810.4310.80.37Profit3.55
2018-03-28650655810.6610.760.10Profit0.94
2018-04-02647133711.0811.290.21Profit1.90
2019-01-1558986807.688.130.45Profit5.86
2018-11-1653925777.67.90.30Profit3.95
2018-05-31472404210.210.420.22Profit2.16
2018-04-03443408111.1311.310.18Profit1.62
2018-03-30441190010.7210.90.18Profit1.68
2018-03-12438449110.5810.51-0.07Loss-0.66
2018-03-26425091710.1510.380.23Profit2.27
2018-04-04417132411.310.91-0.39Loss-3.45
2018-12-0339528867.577.790.22Profit2.91
2018-07-3039445678.378.470.10Profit1.19
2018-06-01394059310.4310.450.02Profit0.19
2018-11-1337675877.277.490.22Profit3.03
2018-03-29375150010.7310.71-0.02Loss-0.19
2018-03-07370265610.3310.430.10Profit0.97
2018-03-21363388010.210.240.04Profit0.39
2018-08-0235606768.197.66-0.53Loss-6.47
2019-01-1634356488.18-0.10Loss-1.23
2018-11-1433680607.497.48-0.01Loss-0.13
2018-07-2733579638.588.620.04Profit0.47
2018-08-2933246027.477.580.11Profit1.47
2018-11-1931744907.927.91-0.01Loss-0.13
2018-08-2130494947.27.280.08Profit1.11
2018-11-0230433107.127.250.13Profit1.83
2019-01-1130146257.657.80.15Profit1.96
2019-01-0729816517.557.780.23Profit3.05
2018-04-10297996910.7810.870.09Profit0.83

3 How FIYTA (000026) Monthly Volumes Are Affecting Price

This section is similar to the third section except that now we are going to check the impact of monthly volumes. The timeframe of analysis is similar to that of the first section. We have considered recent 52 weeks of data between 2018-01-28 and 2019-01-28.

Below is the graph showing the monthly volume against monthly price. The graph shows the change (%) in volume against the change (%) in price for you to understand better.

10 Months Price, Volumes Chart -

A sample of data used to create the above graph is shown below.

MonthPrice (¥)Price Change (%)VolumesVolume Change (%)
2019-17.77019270770
2018-127.53-3.091791491-7
2018-117.48-3.73243241426
2018-107.28-6.311553307-19
2018-97.65-1.541607468-17
2018-87.51-3.3520633677
2018-78.327.081900795-1
2018-69.4121.111587124-18
2018-510.2932.431629131-15
2018-410.3933.72250475030
2018-310.1530.63335710274
2018-210.0529.341454731-25
2018-110.5435.651768474-8

The correlation between the monthly volume and price turns out to be 0.19. Therefore we have a week positive correlation, Meaning - If volume increases price increases but not always.

4 Volume Of 000026 Vs Similar Stocks

You already know that volume is a measure of interest in a particular stock. The reason may be good or bad. The higher than average volume can drive prices up or down depending upon the amount of selling compared to buying. This section compares the interest shown by investors in 000026 compared to 5 similar stocks in recent 52 weeks.

TickerStock NameVolumesAvg. Price (¥)Highest Price (¥)Lowest Price (¥)
002231ALLWILL TELECOM71538016.9410.494.75
300422BSK540537413.2718.689.10
002762JFLB44916527.0810.454.80
000679DFGC28916534.896.913.09
002645HUAHONG261352010.5714.947.01
000026FIYTA 2005700911.056.88

As you can see in the above table, FIYTA (000026) can be ranked sixth on volume scale.

5 How Annual Volumes Are Affecting 000026 Price

This section is similar to the first and third sections. The first section checked the impact of weekly volume on prices while the second section analyzed the impact of monthly volumes. Now we are going to check the impact of annual average volumes. Below is the volume-change vs price-change graph.

10 Year Volumes Chart -

Below table lists a sample of data used to draw the above graph.

YearPrice (Avg.) (¥)Price Change (%)Volumes (Avg.)Volume Change (%)
20007.49016674900
200110.7443.39793729-52
200210.3037.52366068-78
20037.864.94415955-75
20044.83-35.51748648-55
20052.84-62.08688799-59
20063.56-52.4717853517
20079.8231.11279920568
20086.14-18.02273203064
20095.56-25.776897263314
20109.3925.37331679299
201113.5080.24214465429
20129.1422.03282989170
20136.93-7.485259547215
20147.956.144861078192
201513.9886.6511186781571
201611.9859.957776035366
201712.3264.495693880241
20188.8718.42200179320
20197.773.74192707716

The correlation coefficient between the volume and price is 0.43. This is a week positive correlation, Meaning - If volume increases price increases but not always.

Summary of correlation coefficients of weekly, monthly and annual volumes against price.

Volume Averaged OverCoefficientMeaning
Weekly0.2week positive
Monthly0.19week positive
Yearly0.43week positive

Conclusion :

Volume is an important metric in combination with the price to assess the trend of a stock. For example, if a stock moves steadily up but is associated with feeble volumes, the movement may not be sustainable. On the other hand, if the stock is moving up while the volume is also increasing steadily, the movement will be a sustainable bullish run. Therefore volume plays a key role in assessing the sustainability of a trend.

Recommended Reading:

  1. We strongly recommend you to go through the 000026 Trend Analysis report. That report uses an interesting method involving moving averages to assess trends.
  2. The expectation of a stock rising is the prime reason why investors are behind it. 000026 Stock Rise report will help you know whether the stock is on the rise lately.

Disclaimer:

We have validated the data to the best of our knowledge. If you find data inaccuracies kindly let us know using the contact form so that we can act promptly.

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