As of the close of Tuesday, October 10, 2023, a PerfectStorm scan of high-volume options found TEN breakout candidates.
AAPL:
COIN:
DFS:
DIS:
KWEB:
MSFT:
PTON:
TMUS:
CRWD:
and PLTR:
Swing trading breakouts and breakdowns.
October 10, 2023 by
As of the close of Monday, October 9, 2023, there were four breakouts and one breakdown.
Ther breakouts;
AMD:
EA:
MU:
and NVDA:
the breakdown;
ZM:
Swing trading new breakouts.
October 8, 2023 by
As of the close of October 6, 2023, PerfectStorm found three new breakout candidates.
GOOG:
PINS:
and TSLA:
Swing trader breakouts and breakdowns.
October 2, 2023 by
As of the close of Friday, September 29, 2023, a scan of high-volume options using the PerfectStorm indicator suite, discovered four breakout and two breakdown candidates.
This is for information only.
The breakouts:
NFE:
OXY:
PLTR:
and RIVN:
The breakdowns:
COIN:
and GDX:
Another Stock Market Indicator
January 10, 2023 by
In the past, I have illustrated a few ratios that have measured investor sentiment on future stock market direction.
In this post, I will add another, the relative strength between the consumer discretionary sector (XLY ) and consumer staples(XLP).
Historically when the consumer discretionary sector (XLY) outperforms the discretionary sector(XLP), the overall market (SPY) has been bullish.
The relative strength swap doe not always indicates a change, but the trade-off is always worth noticing.
The following is the relative strength of XLY vs XLP with the SPY as of the close of Monday, January 9, 2023.
As illustrated, XLP is still doing better than XLY.
Another PerfectStorm example COST
October 6, 2021 by
The following is another example of waiting for the long-term signal, in this case weekly. When that signal is LONG, then if and when the shorter-term time frame is also LONG, jump aboard.
The signal in COST from April 9, 2021, has been LONG only. A corresponding LONG signal was signaled on June 23 and the next day COST opened at 393. A close signal was signaled on September 20, and the opening the next day was 456. Approximately a 16% return in about 3 months.
Please refer to my previous post on REGN for more detail.
Regeneron
October 4, 2021 by
A few posts back, I discussed ‘echo trades’.
Find a stock in a clearly defined uptrend, wait for a pullback, and when the uptrend shows a continuation, jump on board.
Since that post, I have put into place a better method of trend analysis.
The following graphs of Regeneron (REGN) should be a good illustration.
As in all my illustrations, Green vertical lines indicate Buying points. Red vertical lines indicate Selling points and Blue illustrates Close position.
The weekly graph represents the long-term direction. In this case, REGN since June 2021 has been in an upward trending direction.
The trading decision however should be made in a shorter time frame. In the following picture of REGN DAILY, it should be clear that, although the long-term direction is up, the shorted term direction has been down. The long position created in August was closed in September.
If you would like an analysis of one of your holdings, please email me at rfeit@msn.com or rfeit1941@gmail.com.
Artificial Intelligence and Trading.
April 12, 2021 by
In the last few weeks, I have investigated a few AI(Artificial Intelligence) platforms in the hope that one or more vendors of this new technology could enhance my trading results.
The quick answer is maybe, but the research has found a troubling example of what could go wrong.
A new ETF that is based on AI is was offered on October 17, 2017: AEIQ.
To quote from its informational site:
“The fund applies proprietary algorithms to artificial intelligence (AI) technology which can process over one million pieces of information per day to build predictive financial models on approximately 6,000 U.S. companies. The technology continually analysis data and models in its active stock selection process, and derives an optimal risk adjusted portfolio consisting of companies with high opportunities for capital appreciation. The fund is actively-managed and discloses all portfolio holdings daily.”
The informational information About AEIQ also states that “The system mimics a team of 1,000 research analysts working around the clock analyzing millions of data points each day.”
“Harnesses the power of IBM Watson.”
The performance of this ETF should answer the basic question that I have had in my investigation; Does AI work?
The answer as it relates to the AEIQ ETF is sometimes yes, sometimes no.
The following graph of the relative performance of AEIQ and the SPY ETF, which represents the S&P 500 index starting in August 2020.
The AEIQ ETF started life on 10/17/2017 at an offering price of $25. On Friday, April 9, 2012, it closed at 39.48, an increase of 57.92%
The S&P 500 on 10/17/2017 was 256.25. It closed on Friday, April 9, 2021, at 411.49, an increase of 60.58%
The above chart, like all the other charts on this bog, has green, blue, and red vertical lines. Green vertical lines are the place where AEIQ is performing, on a relative strength basis, better than the SPY ETF and AEIQ has positive momentum. Red vertical lines show the times that AEIQ is performing worse than the SPY on a relative strength basis and has negative momentum. Blue lines are the indication to close the current position.
The better way to use the AIEQ ETF would be to invest in AEIQ when, on a relative strength basis, it is stronger than the SPY ETF and AEIQ has positive momentum. The basic swing trading method I have been talking about in this blog since day one.
Relative Strength
January 12, 2021 by
In the many past posts, I have recommended that to be successful in swing trading, one has to be aware of the individual securities relative strength as it compares to some index of its peers.
The following chart is an example of OIH which is the oil VanEck oil services ETF. I have compared this ETF to SPY, which represents the Standard & Poors 500 index.
The prices are as of the close yesterday, January 12, 2021.
The rules are very simple, and the action indicated by the up and down arrows reflects the result of following the rules.
- Buy when the target security is stronger, on a relative strength basis than the index.
- Buy ONLY when the target is stronger, has positive momentum, and the index is also going up.
- Close the position when any condition is violated. Shown by blue vertical lines.
- The rules apply to shorting when the actions are the opposite of the buy rules.