A prediction from 2013 financial blog.
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Wednesday, August 21, 2024
2013 Financial Prediction, at an Old Friends Site
Hindenberg Omen -- Advanced Analysis -- Does the Steepness of the Rally Prior to a Confirmed HO Offer Any Predictive Value"
https://albertarocks-ta-discussions.blogspot.com/
I wonder if AI can find the recent Hindenberg indicators?
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The Hindenburg Omen is a technical analysis pattern used by stock market analysts to predict the increased probability of a market crash. It was created by mathematician and market analyst Jim Miekka. This omen is identified by a combination of market factors, primarily involving the New York Stock Exchange (NYSE).
Key Criteria:
New Highs and Lows: The pattern occurs when a significant number of stocks in the NYSE reach new 52-week highs and lows simultaneously, typically greater than a set threshold (such as 2.5% of all stocks on the exchange).
Market Uptrend: The market must be in an uptrend, typically indicated by the 50-day moving average or rate of change being positive.
McClellan Oscillator: A measure of market breadth must turn negative, signaling weakening momentum.
Confirmation: For the omen to be considered valid, there must be multiple occurrences of these conditions within a 30-day period.
Since 2013, there have been multiple occurrences of the Hindenburg Omen. For example, it triggered in May 2013 and was notably confirmed again in December 2021, shortly before the market turbulence of early 2022 (StockCharts) (ChartSchool | ChartSchool) (Wikipedia). However, due to the indicator's propensity for false positives (it often doesn't predict a crash immediately), its use is somewhat controversial.
The omen is most relevant during periods of significant market instability, where conflicting signals (new highs and lows simultaneously) suggest market indecision or vulnerability.
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His basis: "I
have always been interested that the number of sightings of the HO in a
cluster does not seem to be a predictor of the strength or timing of
any subsequent downturn. I have therefore been spending some time on the
keyboard examining all the data associated with the recorded confirmed
HO's going back to 1986."
His qualifiers: "Rather
than use the DJIA that Dr. Robert McHugh used, I have used the S&P
as it probably gives a better indication of the wider market. You still
get the same approximate proportions of declines that are regularly
quoted for the HO. i.e. 25% of the time the market falls by 15% or more,
etc."
His general observation: "The
interesting thing though, is that while the number of sightings in a
cluster is no real guide to the dimension of any decline, the pace of the
rising market before a confirmed HO is. Generally, the majority of
confirmed HO with subsequent major declines have come after the market
has averaged a gain of over 0.08% per day since the low that followed
the previous HO. How long ago the last HO occurred does not seem to
affect this observation."
The data he uncovered: "The
results of the HO which followed daily gains averaging over 0.08% were
-31%, -30%,-21%,-18%, -15%, -10%, -5%, -3% and 0%. That's 6 out of the 8
declines of 10% or more. By comparison, in the case of all other
confirmed HO where the average daily rise of the market was less than
0.08% the average decline after a HO averaged less than 7%. And that
was only brought up that high by a couple of outrider observations."
An additional point: Hence
the rule "The faster they rise the further they might fall".
Incidentally, the average daily growth rate before the August 5, 2013 HO
was 0.193%. That is by far the highest ever, except the doubtful Dec 1998
HO."
[AR: Good lord, I hope readers appreciate the implications of that last "additional point".]
--------------------------------------------------------------------- From Seeking Alpha comment
I am very happy for you to use the material in your blog. To help you I
have listed the fuller version of the data below. Just a few things to
note in case anyone looks to pick holes. The list is from Dr McHugh but I
use S&P data not DJIA so some of the days to low, days from low and
quantum of decline may vary slightly from his original data. The
average daily change % is calculated using calander days (it doesn't
really change the results to use trading days ....it is just easier to
divide by calender days).
16-Oct-07 9 14.8% 0.152%
20-Jun-01 2 21.0% 0.142%
21-Jul-98 1 17.8% 0.133%
24-Jan-00 6 4.9% 0.123%
14-Sep-87 5 30.7% 0.116%
11-Dec-97 11 2.9% 0.104%
09-Oct-95 6 30.0% 0.089%
11-Oct-89 38 9.5% 0.088%
02-Dec-91 9 1.0% 0.070%
12-Jun-96 3 6.3% 0.070%
27-Jun-90 17 16.8% 0.068%
13-Apr-04 5 4.0% 0.066%
13-Jun-07 8 7.2% 0.065%
15-Sep-00 9 9.3% 0.065%
26-Jul-00 3 8.4% 0.059%
07-Apr-06 9 5.5% 0.057%
31-May-13 4 3.5% 0.055%
15-Jun-99 2 4.1% 0.046%
19-Sep-94 7 4.4% 0.043%
25-Jan-94 14 6.8% 0.035%
03-Nov-93 3 1.2% 0.033%
21-Sep-05 5 2.8% 0.024%
20-Jun-02 5 20.7% 0.015%
02-Aug-10 5 7.0% -0.015%
12-Mar-01 4 6.5% -0.075%As regards your friend Hinch, what a coincidence. I live in Hobart and my first apartment here was next door to one in a tower block owned by a Hobart geologist who now works in the oil industry in Canada. Hinch doesn't happen to own the unit next to my former home does he?
Inflation Favors The Wealthy, Therefore Expect Continued Inflation
Posted from DigiNomad at BPT
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Not much to say. We've entered the banana zone. It's good to be
asset rich.
Here's some simple math (I'll post it because it's quiet and
I'm working on simplifying this communication for clients and some
courses I teach).
Middle class assumptions:
Year 0 annual living expenses = 100K
Year 0 assets in market = 50K
Year 1 asset inflation (market appreciation) = 10%
Year 1 adjustment to annual living expenses = 110K
Year 1 addition to assets in market = 5k (55K new total)
Net change in available assets relative to living expenses
(aka wealth) =
negative $5000
Wealthy / Elite assumptions
Year 0 annual living expenses = 200K
Year 0 assets in market = 1 million
Year 1 asset inflation (market appreciation) = 10%
Year 1 adjustment to annual living expenses after asset
inflation = 220K
Year 1 addition to assets in market = 100k (1.1 million new
total)
Net change in available assets relative to living expenses
(aka wealth) =
$80,000
Both groups experienced the same "positive" market outcomes
in the year, but the outcome is clearly completely different. Then
the wealthy congregate on CNBC, Bloomberg and elite circles
in coastal cities to gaslight the public about a "vibecession"
because they're having the time of their lives with real life asset
inflation that is only great for them.