Sym | Weight |
Positive | |
yinn* | 1.31 |
ERY | 1.28 |
EWC | 1.14 |
XPP | 1.11 |
EWY | 1.1 |
FXP | 1.08 |
EWJ | 1.05 |
IEFA | 1.03 |
EFA | 1.01 |
KBE | 1.01 |
Negative | |
PFF | -1 |
QLD | -1.02 |
SOXS | -1.03 |
UMDD | -1.03 |
USO | -1.05 |
SPXU | -1.09 |
EWU | -1.24 |
VXX | -1.26 |
SLV | -1.41 |
EMB | -1.42 |
3 comments:
Hi, You have YINN and XPP, both China funds, expected to go up in price. But you also have FXP, a China bear fund, expected to up in price. Does that make sense? How?
Doug
It's the way the current #s play out with the algorithm.
Here are the algorithm's results for each over of the 10 days:
yinn*: +BUY+ ++BUY++ +BUY+ +++BUY+++ +++BUY+++ +++BUY+++ +++BUY+++ +++BUY+++ ++BUY++ +++BUY+++
XPP: +BUY+ +BUY+ b buy s ++BUY++ ++BUY++ +++BUY+++ ++BUY++ ++BUY++
The XPP's 'b' and 's' (for Wednesday and Friday) are marginal buy and sell signals. The more '+'s the stronger the buy signal.
It will be interesting to see who's correct. We'll find out over the next 10 days. I see the Shanghai opened lower and the HANG SENG opened higher today (Monday their time)
I just noticed a contradiction produced by the model. XPP at #4 and FXP at #6 ... they are inverses of each other. Both with buy signals shows a conflict in the model's logic.
But a confirmation (not shown) is with YANG, YINN's inverse. YANG is at #139 (of 157 tracked ETFs) with a sell weight of -0.76 while YINN is #1.
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