Category Archives: Stock trading

Tired of staring at charts time and time again? We have an app for that

Tired of staring at charts time and time again, not certain what is setting up?
Check out this chart of FITB, Fifth Third Bancorp, How would you have traded this over the last 6 months?
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What if you had a tool that shows you the exact pattern that’s setup AND includes the direction the breakout is likely to be? A tool that generates a report every night of chart patterns that have completed and are breaking out. 
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 Wouldn’t that simplify your trading?
Check out this completed falling wedge pattern from 02/12/16. You would have been alerted to this breakout on 2/12/16, the direction indicator suggested that prices will rise and they did.
Check out this completed falling wedge pattern from 02/12/16. You would have been alerted to this breakout on 2/12/16, the direction indicator suggested that prices will rise and they did.
 
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Or this inverse head and shoulders on 3/1/16, the direction indicator suggested prices would rise and they did.
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and check out this new video that shows the most recent price pattern we were alerted to on FITB on 5/13/16 AND how we automate this reporting every night.

Trading Gap Reversals

The AIQ code based on Ken Calhoun’s article in April 2016 issue of Stock & Commodities Trading Gap Reversals”, is provided below. 
AIQ has also posted the EDS file at “ is provided for downloading at 
Save this file to your/wintes32/EDS Strategies folder.
Since I mainly work with daily bar strategies, I wanted to test the gap-down concept on a daily bar trading system rather than on one-minute bars. I set up a system that buys after a stock has gapped down at least 10% in the last two days and then trades above the high of the gap-down bar. The entry is then at the close of that bar. For exits, I used the built-in exit, the profit-protect exit set at 80% once profit reaches 3% or more combined with a stop-loss using the low of the gap-down bar and also a time exit set to five bars. 
I then ran this system on the NASDAQ 100 list of stocks in the EDS backtester over the period 12/31/1999 to 1/11/2016 (Figure 7). The system generated 303 trades with an average profit of 1.09% per trade with a reward-to-risk ratio of 1.35. Slippage and commissions have not been deducted from these results.
Sample Chart
FIGURE 7: AIQ. This shows the EDS test results for the example system.
Again, the code and EDS file can be downloaded from www.TradersEdgeSystems.com/traderstips.htm, and is also shown below.
!TRADING GAP REVERSALS
!Author: Ken Calhoun, TASC April 2016
!Coded by: Richard Denning 2/1/2016
!www.TradersEdgeSystems.com

!INPUTS:
GapSize is 10.
GapLookBack is 5.
MaxBars is 5.

!CODING ABBREVIATIONS:
H is [high].
C is [close].
C1 is val([close],1).
L is [low].
O is [open].

GapD is (O / C1 - 1) * 100.
GapOS is scanany(GapD < -GapSize,GapLookBack) <> nodate()
  then offsettodate(month(),day(),year()).
Hgap  is valresult(H,^GapOS).
Lgap  is valresult(L,^GapOS).
SU if  scanany(GapD < -GapSize,GapLookBack).
SU1 if  scanany(GapD < -GapSize,GapLookBack,1).
SU2 if  scanany(GapD < -GapSize,GapLookBack,2).
LE if ((SU1 then resetdate()) or (SU2 then resetdate())) 
 and H > Hgap.
ExitLong if {position days} > maxBars
 or C < Lgap.
EntryPr is max(O,Hgap).
List  if C > 0.
—Richard Denning

We’ve been watching MIDZ – Direxion Daily Mid Cap bear 3X

We’ve been watching MIDZ – Direxion Daily Mid Cap bear 3X in our barometer the last few trading days. This 3 x bearish ticker has been in a long down trend, but recently Moneyflow has begun to show signs of accumulation and the MACD diverged up when the price was still heading down.
The 5 day barometer readings on Moneyflow and MACD in our Quotes montage are showing some bullish signs either all green or green arrow up. Maybe times are a changing.
How do we do what we do? TRY US http://aiqeducation.com/

Why a fine-tuned Group/Sector structure is essential for identifying good trading opportunities

Index Methodology Overview

This paper was prepared to assist subscribers/investors with an understanding of the investment concepts behind the construction and use of the FATI® Sector/Group Index.


Key Concepts


Data Dependence

The investment world is more data dependent today than ever before. This applies to both technical or fundamental data. The individual stock universe is comprised of approximately 16,000 stocks, of which 8,000 have quasi-reliable technical and fundamental data available. Even a universe of 8,000 stocks is extremely large and very hard for any investor to manage.

One of the risks with large amounts of data, of any type, is its quality. If we use low quality data, it could create incorrect outputs used in your investment decision process. There is an old adage that applies here and most have heard it before: Garbage In – Garbage Out. The quality of data and the ability to manage this data is paramount in the investment management process.

Sector/Group Structure

Many of the available Sector/Group Indices have, what is called, ‘limited participation’. Some of the industries groups contain only one or two stocks. The FATI® Sector/ Group Index is designed to maximize the number of issues in each industry group. For example, a major index provider has an index with 60 industries and an average of 8.3 stocks per industry. If you look closely you will find over 10% of the industries are comprised of only one or two stocks. Hardly a representative sample. The FATI® Sector/Group Index averages over 44 stocks per industry and no less than 6-7 stocks on average in an industry group. This gives investors a more accurate representation of each industry. The index also broadens the number of sectors from the industry average of 10 to 17 sectors. This was done to improve the granularity of the index and make it easy to identify investment opportunities.

Influential Factors on the Markets

It is a well-known fact approximately 90% of the volume in the equity markets come from institutional investors. These investors include mutual funds, pension plans, insurance companies and hedge funds Due to the large size of the portfolios they manage, it may take weeks, if not months; for them to build a position in a stock. Remember, these investors try to buy or sell in a stealth manner to avoid tipping their actions and having the price pushed up or down before they have finished acquiring or disposing a position.

Since institutional investors have such a significant influence on the market, it only makes sense to focus on the stocks they watch and trade. We conducted a poll to determine if there were a common, and simple, set of criterion which could be used to narrow a list of over 8,000 stocks. At the same time, try to determine what the average investment manager’s universe of stocks is comprised of. Institutional analyst’s standards are high when it comes data requirements. If those standards are missing from the data of a company, they won’t consider the company for investment potential. Remember Data Dependence from above. ‘Garbage In – Garbage Out’.

The Search


The Poll and Results

The poll was conducted from a random list of investment managers. Armed with the data collected from the investment managers a plethora of test screenings were performed. Each screening was reviewed to determine the data available, data completeness and data quality, both fundamental and technical. After exhaustive testing, a final list of criterion was selected. The final screening using the selected criterion was performed and compared to several investment manager’s universe of stocks. The results showed, on average, the final screen captured 86% of their universe of stocks. Some higher some lower.

Below is the final criterion used in the construction of the FATI® Sector/Group Index.

  • Average Daily Trading Volume >= 100,000 shares
  • Current Price >= $5.00
  • Number of Analysts in Average Broker Rating >= 2
  • Market Cap Valuation >= $100 million

The index is updated once a month using the criterion listed above. In any given month as many as 20-300 stocks may be added and/or deleted from the index. The number of issues in the index has ranged between 2,500-3,000 stocks. By narrowing the number of stocks in this manner, the fundamental and technical data was more plentiful, more accurate and more complete.

Putting it All Together

Knowing the key concepts and the criterion used in the construction of the FATI® Sector/Group Index, let’s put it all together and answer the question.

Why Use the FATI® Sector/Group Index?”

The index provides investors with:

1. a list of stocks institutional investors watch and trade.
2. a higher quality Sector/Group structure for better investment decisions.
3. market capitalizations ranging from Mega Caps to Nano Caps.
4. the elimination of low priced / low quality stocks with poor quality data.
5. simple maintenance of the index and fundamental data. Download and Use.


One Last Thought

There are two generally accepted approaches to investing. Fundamental and Technical. Which is better is not up for debate here, but instead consider the following;

Fact, the majority of institutional investors purchase companies based upon strong fundamentals and earnings.

Professional Traders focus on technical indicators, patterns and news events to determine when to buy or sell a stock.


Why choose between two methodologies?

Don’t, use both.

First, use the FATI® Sector/Group Index to focus on the stocks institutional investors are watching and trading. Next, screen for companies in the Index with strong fundamentals and earnings. Lastly, use technical analysis to determine when to buy or sell the fundamentally screened stocks.


FATI® Sector/Group Index
+
Fundamental Data
+
Technical Analysis
=
MORE PROFITS


Find out how you can add FATI® Sector/Group Index + Fundamentals  to your trading arsenal

or call sales at  1-800-332-2999