Finworld's Origin
Finworld was created to improve the practice and culture of the stock market, so that more investors are armed with an effective analytic tool. The founder of Finworld hopes that investors can make trading decisions based on data analysis, and are able to grab opportunities when there are great chances, instead of making decisions on a hunch or based on rumors.
Finworld's Vision
We hope that more sources of important data will be available to all kinds of investors, especially the foreign retail and local retail, so that all investors are able to grab golden opportunities in the stock market.
Finworld's Mission
We hope that Finworld, as an analytic tool, can be a helpful hand to solve all kinds of problems faced by the investors.
Finworld function
Finworld is a stock analysis software that greatly helps investors in solving problems that are often encountered in stock market investment.
Aggregated Volume Analysis
(AVA)
Aggregated Volume Analysis is a function which helps to analyse the trading positions of the institutional investors.
These functions can help us avoid unnecessary risk which might lead to serious loss.
There are 3 main information available in this function: -
The trading position of institutional investors on 30 stocks with the greatest market cap. (Whether the institutional investors are buying or selling the 30 blue chips.)
The trading position of institutional investors on all 900+ Malaysia stocks. (Whether the institutional investors are buying or selling the Malaysia stocks in overall.)
The trading position of institutional investors in respective sectors, e.g. Financial Services, Energy, Healthcare, etc. (Whether the institutional investors are buying or selling the stocks in certain sectors.)
Thames River Indicator (TRI)
TRI is one of our exclusive functions which is used to determine the risk level. When analyzing stocks, it is crucial to know the risk level of a stock or the stock market as a whole, so that our Finworld subscribers are aware of the risk therein, in order to avoid unnecessary risks and use safer trading strategies.
Besides, after buying stocks, it is also crucial for investors to understand the current risk level to prevent unnecessary loss.
There are 4 main pieces of information we may obtain from this function: -
It would be safer when the share price is above the TRI Blue line.
We can obtain the risk level by measuring the distance between the share price and the TRI red line.
The TRI blue and red lines change everyday.
When the share price strikes below the TRI red line, whether or not you are gaining profit, it would be safer to consider an escape.
Screener
Screener is used to filter out stocks with good trends based on technical analysis.
By using this function, we can minimize risk by avoiding stocks which are in down trend or sideways.
The list of stocks appear in screener are filtered out based on the following technical indicators: -
Sentimental Bar is green
Share Price is above TRI blue line
RSI is not above 80% (Overbought)
MACD blue line is above 0
Filter
Filter is a function which can be used to filter out stocks based on our specific preferences.
For example, we can use fundamental analysis requirements to filter out stocks which achieved excellent performances, and volume analysis requirements to filter out stocks which are bought by institutional investors in large volume.
Most of the investors have missed out an important point after they have selected good stocks based on fundamental analysis, which is the fact that even stocks with strong fundamentals, do rise and drop (fluctuate).
Instead of only looking at fundamental analysis, it is more important to look for stocks which are in an up trend in order to have higher chances of gaining profit.
Thus, the timing to buy and sell has been the most important factor of gaining. It would be safer if we choose to buy stocks which are being moved up by institutional investors, and such stocks can be simply filtered out using this "Filter" function.
Return Spread (RS)
Return Spread is used to analyse trends of the respective sectors.
The data of this function is updated daily, thus we can use it to analyse the current situation, opportunities, risks that lie within each sector.
By using this function, we are aware of which sectors have more rising stocks, and vice versa, so that we are able to grab opportunities when certain sectors start to have more rising stocks.
Without this function, it might be too late for investors to grab opportunities when the rising stocks have risen too much. We are proud and happy to share the fact that our Finworld users have always been early to grab opportunities and escape from danger after being armed with such an informative function.
Volume Analysis (SSI & MOS)
Volume Analysis is a function to analyse the trading positions of the institutional investors.
There are 2 main sub-functions which are MOS and SSI: -
MOS is the abbreviation of Margin of Safety. This function is to indicate whether the institutional investor is moving the share price upwards or downwards.
When the share price is above the average cost of the institutional investors, it would be a good and safe timing to look for chances to enter. Thus, we always prefer to look for chances when MOS is above 0.
SSI is the abbreviation of Support Strength Index, this function is used to analyse the buying and selling volume of the institutional investors.
When the green bar (buying volume) is greater than red bar (selling volume), it simply means that the institutional investors are buying the stock.
When the red bar (selling volume) is greater than green bar (buying volume), it simply means that the institutional investors are selling the stock.
In order to avoid unnecessary risks, usually we prefer to enter when the institutional investors are still aggressively buying the stocks.
Sector Benchmark (SB)
Sector Benchmark is one of the sub-functions in Fundamental Analysis. Usually when analysing financial reports, we always look at whether the company is having good profit, whether the cash flow is stable, whether the liabilities are not too high, etc, in order to determine whether the stock is good or not.
However, it is important that the company is not only good itself, but also better than other competitors from the same sectors. It is normal that people tend to look for the best of the best, or at least the better ones when there are options available. By using Sector Benchmark, we can simply find out whether one stock is good or bad itself, and also whether it is one of the best in the respective sector.
By choosing the "Sector" button, if the data shows up in green background, it simply means the performance is above average than most of the competitors from the same sector, if the data shows up in red background, it simply means that the performance is below average than most of the competitors from the same sector.
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By choosing the "Top" button, if the data shows up in green background, it simply means the performance is one of the best among the top 20% from the same sector, if the data shows up in red background, it simply means that the performance is not one of the best among the top 20% from the same sector.
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AVA Case Study
31 Dec 2021, KLCI Index rose higher. This increment occured abruptly at 4:00 pm that day
Although the Index increased, but AVA showed more sales than purchases.
This is a sign that the condition of the index is not good yet.
It proved when the index began to fall from first day of trading for 2022, which is on 3 Jan and continued.
Our student that have AVA are definitely safe from this false breakout.
TRI Case Study
On Feb 25, 2020, the stock has risen 2.37% and close above TRI blue line.
Starting from Feb 25 to Aug 11, the stock has been on the blue TRI continuously. But on Aug. 12, the stock had fallen below the blue TRI line.
If you buy this stock on Feb 25 when this stock starts to be above the blue TRI line and sell this stock on Aug 12 when this stock starts to fall below the blue TRI line, you can get a profit of up to 166%. Very tolerable!
If you do not sell on August 12, you will incur a loss. Starting from Aug 12 to Sept 23, the stock continued to fall and was in a downtrend.
Without TRI, of course you will not know the right time to sell and buy.
Screener Case Study
On April 20, this stock all T/R/M technical indicators are green. We can consider o buying a stock like this and start doing analysis.
August 21, the last day of HARTA is in the bullish screener, T/R/M HARTA is no longer all green.
From April 20 to August 8, HARTA everyday in bullish screener. But start from August 22, HARTA no longer in the bullish screener, means that can ready to sell
If you buy this stock on April 20 (the first day this stock is in bullish screener) at a price of RM7.70. Continue to hold this stock until the last day this stock is in the bullish screener which is on August 21, then sell it on August 21 at a price of RM17.70. You will make a profit of up to 131%._ cc781905-5cde-3194-bb3b-136bad5cf58d_
Once the stock was no longer on the bullish screener list on August 22, the stock continued to plummet. So imagine if you don’t release this stock on August 21st, you could incur losses of up to 65%.
Investors who own Finworld can find out potential stocks like this using a Bullish screener.
Sector Benchmark (SB)
Investors can also compare the performance of the stock with other stocks in one sector and the best 20% in the sector.
Based on the filter criteria that have been set, you can see on Nov 5, the first time this stock MOS is he is above 0.
On Nov 5, the MOS was first above 0, sentiment was neutral. Still doesn't fit anymore
But, if you look at this stock directly, on Nov 6, the sentiment of this stock has turned positive (green). The Nov 6 closing price is also above the blue TRI line. This indicates a positive sign to buy.
As of Jan 6, 2021, the MOS has been below 0.
As you can see here, on Jan 6, the MOS has been below 0, the closing price has also fallen below the blue TRI line. If you enter this stock on Nov 5 and exit on Jan 6, you will get a profit of up to 35% in just 42 days.
By using filters, you can shortlist potential stocks that have large flows that also comply with the technical indicators as well as have strong fundamentals.
Sector Benchmark (SB)
Investors can also compare the performance of the stock with other stocks in one sector and the best 20% in the sector.
But if you look at the data released by the return spread, the performance of this sector has not yet reached a good level of performance. This is because, based on 'Total Positive %' which only amounts to 45.71 %. To show that the sector's performance is good, the Total Positive must reach 50% and above.
This is evident when, from 5 Jan to 11 Jan, the technology sector has continued to decline.
Finworld users have known in advance that the sector has not yet recovered and will experience a decline with the use of RS.
Sector Benchmark (SB)
Investors can also compare the performance of the stock with other stocks in one sector and the best 20% in the sector.
Often when there is an increase like this, the investor who holds a stock does not know whether to continue holding the stock or to give up their holdings.
That’s why you need the SSI function in Volume Analysis from Finworld.
On Nov. 26, SSI showed purchases occurred more than sales. According to SSI, if the purchase is more than the sale, you can continue to hold the shares.
The SSI data turned out to be accurate when on Nov 29 and 30, the stock had risen further by 15.09% making the overall increase from Nov 26 to Nov 30 to be 25.23%.
Imagine you have SSI, of course you have the opportunity to get this much profit as well. Pretty much isn't it!
Based on SSI, as of Nov. 30, total sales were more than purchases. According to SSI, if the sale is more than the purchase, you will need to sell your holding first to take a profit because the stock price is most likely to fall.
The SSI data turned out to be accurate when from Dec 1 to Dec 13, the price of this stock continued to decline.
If these shareholders do not sell their holdings after Nov 30, the losses incurred will reach up to 20%
SSI really helps you know the right time for you to divest your holdings and make a profit.
Sector Benchmark (SB)
Investors can also compare the performance of the stock with other stocks in one sector and the best 20% in the sector.
Based on the findings of UN stocks above you can see the revenue data is green. While BURSA share revenue is red. This shows that PBB's revenue compared to other stocks in its sector is better while BURSA's revenue compared to other stocks in its sector is less good.
This achievement is only marked using color. This will definitely make it easier for you as a user to identify the information provided.
Another case study for you to use SB, you can see the performance of this stock compared to stocks in its sector and also compared to Top 20%stocks.
If compared to stocks in its sector, its Revenue performance is green, meaning better while if compared to Top 20%stocks, its Revenue performance is red, meaning less good. Very easy isn't it!
User Testimonials
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