Previous Week
Weekly Trend Prediction For Selected Stocks
Long stocks November 26, 2010
Merck & Company, Inc. Common St (MRK)
American Biltrite Inc. Common S (ABL)
American Spectrum Realty, Inc. (AQQ)
DESCARTES SYS (DSG.TO)
The Coca-Cola Company (KO)
RDM CORP (RC.TO)
3M Company Common Stock (MMM)
NEW GOLD INC. (NGD.TO)
Chevron Corp. (CVX)
Target Corp. (TGT)
Texas Instruments Incorporated (TXN)
Weyerhaeuser Company Common Sto (WY)
Short stocks November 26, 2010
E.I. du Pont de Nemours and Com (DD)
-Entergy Corporation (ETR)
Regions Financial Corporation C (RF)
General Electric Company Common (GE)
Forecast Graphs: (10 day forecast)
Long stocks November 26, 2010
Merck & Company, Inc. Common St (MRK)
American Biltrite Inc. Common S (ABL)
American Spectrum Realty, Inc. (AQQ)
DESCARTES SYS (DSG.TO)
The Coca-Cola Company (KO)
RDM CORP (RC.TO)
3M Company Common Stock (MMM)
NEW GOLD INC. (NGD.TO)
Chevron Corp. (CVX)
Target Corp. (TGT)
Texas Instruments Incorporated (TXN)
Weyerhaeuser Company Common Sto (WY)
Short stocks November 26, 2010
E.I. du Pont de Nemours and Com (DD)
-Entergy Corporation (ETR)
Regions Financial Corporation C (RF)
General Electric Company Common (GE)
Forecast Graphs: (10 day forecast)
Detailed, specific stock analysis: i.e. +3 signals buy, -3 signals sell.
aai.csv 2.364 2.364 2.475 2.412 2.459 2.475
aapl.csv 2.504 2.618 2.545 2.518 2.512 2.543
abl.csv 6.014 6.021 5.777 5.640 5.118 4.645
abx.to.csv 3.642 3.670 3.621 3.561 3.534 3.537
acu.csv -2.782 -3.147 -3.262 -3.860 -4.135 -4.219
acy.csv 0.711 0.278 0.209 0.060 -0.069 -0.248
adg.csv -2.650 -2.653 -2.671 -2.563 -2.656 -2.602
adk.csv 2.778 2.814 2.943 2.870 2.811 2.853
ae.csv 2.879 2.761 2.444 2.207 2.153 1.874
aey.csv 2.572 2.521 2.519 2.635 2.584 2.836
aez.csv 2.795 2.801 2.686 2.687 2.782 2.731
aim.csv -2.996 -2.810 -2.881 -2.884 -2.711 -2.753
aip.csv 2.194 2.260 2.334 2.331 2.319 2.363
ais.csv -2.469 -2.184 -2.185 -1.944 -1.531 -1.570
aly.csv 2.853 2.829 2.884 2.911 2.843 2.796
amm.csv 1.605 1.985 1.993 1.850 1.983 2.029
amzn.csv 2.333 2.391 2.351 2.400 2.377 2.430
ano.csv 2.401 2.270 2.349 2.330 2.295 2.288
anx.csv 1.603 1.530 1.485 1.517 1.562 1.659
api.csv 2.690 2.659 2.606 2.653 2.614 2.726
aqq.csv 5.446 5.550 5.455 5.333 5.193 4.998
arba.csv 2.436 2.488 2.313 2.487 2.376 2.395
atro.csv 2.469 2.505 2.551 2.587 2.569 2.735
auy.csv 2.324 2.348 2.352 2.494 2.538 2.593
axk.csv 2.175 2.145 2.265 2.133 2.172 2.116
ba.csv -3.482 -3.528 -3.410 -3.033 -2.986 -2.795
bmo.to.csv 0.063 -0.056 -0.343 -0.698 -0.621 -0.213
bp.csv 2.092 2.167 2.036 2.084 2.165 2.043
bto.csv 3.639 3.593 3.506 3.637 3.663 3.945
cco.to.csv 3.125 3.205 3.215 3.164 3.187 3.160
cmed.csv 2.846 2.864 2.959 2.849 2.550 2.314
cm.to.csv 2.400 2.337 2.357 2.404 2.341 2.390
db.csv -2.247 -2.378 -2.446 -2.479 -2.435 -2.314
dit.csv 2.667 2.784 2.783 2.702 2.701 2.734
dsg.to.csv 3.926 3.942 4.113 4.127 4.134 4.251
f.csv 3.247 3.299 3.349 3.400 3.488 3.491
fax.csv 1.773 1.823 1.830 1.823 1.831 1.839
fcx.csv 2.451 2.488 2.451 2.549 2.513 2.492
ge.csv -3.079 -2.953 -2.988 -2.897 -2.889 -3.007
gfi.csv 2.896 2.887 2.939 2.944 2.881 2.907
goog.csv 2.293 2.346 2.418 2.488 2.559 2.633
grs.csv -0.252 0.059 0.056 0.274 0.355 0.543
hbu.to.csv 2.564 2.506 2.493 2.536 2.608 2.641
hd.csv 2.143 2.106 2.142 2.087 2.173 2.271
hon.csv 4.293 4.268 4.022 3.922 3.468 3.186
hpq.csv -3.541 -3.609 -3.518 -3.198 -3.004 -3.193
hwk.csv 2.310 2.311 2.369 2.334 2.287 2.313
iaf.csv 2.363 2.492 2.469 2.515 2.542 2.459
ibm.csv -2.347 -2.476 -2.570 -2.400 -2.527 -2.521
igt.to.csv 2.552 2.542 2.604 2.699 2.661 2.586
inin.csv 2.922 3.030 3.091 3.112 3.140 3.175
intc.csv 2.016 2.000 1.924 1.789 1.858 1.807
ip.csv 2.812 2.907 2.773 2.932 3.026 3.183
jnj.csv 2.909 3.009 3.054 3.085 3.214 3.334
jpm.csv 2.042 2.753 2.932 3.748 4.010 3.663
k.to.csv 1.331 1.511 1.416 1.629 1.575 1.536
ko.csv 3.874 3.997 4.029 4.171 3.860 3.835
ltbr.csv -1.319 -1.454 -1.575 -1.720 -1.825 -1.890
mcd.csv 0.600 0.650 0.540 0.688 0.924 0.989
mfc.to.csv 2.613 2.717 2.646 2.348 2.453 2.345
mo.csv 4.810 5.037 5.222 5.391 5.344 5.382
mos.csv 2.297 2.310 2.245 2.336 2.350 2.377
msft.csv 2.883 3.008 2.969 3.241 3.594 3.893
na.to.csv 2.075 2.020 2.027 2.002 1.991 2.000
nbg.csv -3.208 -3.249 -3.156 -3.124 -2.840 -2.998
ngd.to.csv 3.243 3.269 3.319 3.401 3.387 3.427
nutr.csv 2.320 2.206 2.183 2.211 2.119 2.081
otc.to.csv 0.225 0.340 0.469 0.454 0.765 0.919
pmfg.csv -2.202 -1.934 -1.885 -2.138 -2.012 -1.917
pot.to.csv 0.093 0.301 0.322 0.460 0.538 0.667
qqqq.csv 2.580 2.604 2.622 2.606 2.631 2.643
rc.to.csv 5.312 5.729 5.800 5.971 6.041 5.938
rimm.csv 2.168 2.066 1.886 1.772 1.887 1.738
ry.to.csv 2.186 2.115 2.113 2.017 1.944 2.060
sio.v.csv 0.689 0.810 0.800 0.765 0.855 0.927
slw.csv 3.297 3.285 3.215 3.186 3.116 3.065
snwl.csv 2.154 2.111 2.100 2.093 2.217 2.220
spec.csv 1.792 1.776 1.664 1.670 1.480 1.455
t.csv 1.856 1.932 1.881 1.923 1.902 1.921
td.csv 1.959 1.959 1.734 1.766 1.654 1.603
utx.csv 2.783 2.617 2.396 2.178 1.946 1.831
uuu.to.csv 3.116 3.159 3.124 3.115 3.160 3.303
uxg.to.csv 4.439 4.342 4.289 4.424 4.590 4.651
XIU.to.csv 2.570 2.633 2.506 2.482 2.518 2.514
AMC.to.csv 1.877 1.829 1.899 1.908 2.116 2.089
bnk.to.csv -0.924 -0.050 0.567 0.680 1.200 1.482
hnu.to.csv -1.921 -2.045 -2.030 -2.082 -2.103 -2.133
su.to.csv 3.775 3.829 3.611 3.402 3.589 3.666
WTN.to.csv 3.159 3.198 3.139 3.126 3.027 2.985
CNQ.to.csv 2.980 3.030 3.071 2.911 2.913 2.809
QEC.to.csv -2.607 -2.660 -2.573 -2.614 -2.614 -2.633
YRI.to.csv 2.437 2.488 2.498 2.556 2.508 2.495
HOU.to.csv 2.086 1.997 1.676 1.877 1.642 1.697
UUU.to.csv 3.116 3.159 3.124 3.115 3.160 3.303
BAJ.to.csv 1.829 1.878 1.873 1.828 1.913 2.002
tlm.to.csv 3.115 3.186 3.247 3.257 3.386 3.471
pls.to.csv 1.077 0.947 0.552 0.430 0.279 0.076
eca.to.csv -1.391 -1.407 -1.466 -1.539 -1.620 -1.645
cga.to.csv 2.480 2.487 2.414 2.486 2.471 2.420
GCE.to.csv 3.633 3.688 3.562 3.444 3.353 3.143
bns.to.csv 1.722 1.869 1.883 1.892 1.922 2.100
cve.to.csv 2.265 2.530 2.027 1.815 1.793 1.796
sru.to.csv -1.937 -2.247 -2.240 -2.401 -1.989 -1.606
hrg.to.csv 2.133 2.322 2.351 2.410 2.362 2.385
nxy.to.csv 2.159 1.965 2.033 2.060 1.931 2.057
gam.to.csv -0.391 -0.335 -0.400 -0.236 -0.160 0.045
eld.to.csv -1.691 -1.604 -1.443 -1.402 -1.217 -1.219
lun.to.csv 2.456 2.619 2.555 2.582 2.696 2.737
IE.to.csv 2.673 2.663 2.665 2.565 2.580 2.674
gbu.to.csv 3.575 3.648 3.550 3.496 3.404 3.394
gte.to.csv 2.041 2.112 2.106 2.153 2.212 2.235
bce.to.csv 2.131 2.035 2.067 2.053 1.985 1.986
ivn.to.csv 2.261 2.259 2.287 2.282 2.278 2.245
cum.to.csv 2.356 2.401 2.413 2.416 2.390 2.467
ngd.to.csv 3.243 3.269 3.319 3.401 3.387 3.427
vt.to.csv 1.916 2.060 2.027 2.029 2.065 2.029
uts.to.csv 1.485 0.973 1.119 1.364 1.326 1.347
CRK.to.csv 2.222 2.276 2.130 2.161 2.106 2.199
bim.to.csv 2.440 2.421 2.407 2.475 2.468 2.543
bmo.to.csv 0.063 -0.056 -0.343 -0.698 -0.621 -0.213
fra.to.csv 2.548 2.622 2.617 2.648 2.639 2.586
cm.to.csv 2.400 2.337 2.357 2.404 2.341 2.390
bpo.to.csv 2.311 2.417 2.318 2.392 2.416 2.457
qux.to.csv 1.813 1.884 1.892 1.836 1.813 1.934
cll.to.csv -3.235 -3.276 -3.062 -2.990 -2.683 -2.572
hnd.to.csv 1.681 1.895 2.024 2.188 2.321 2.441
ml.to.csv 2.561 2.588 2.606 2.620 2.693 2.654
day.to.csv 2.584 2.649 2.665 2.713 2.766 2.892
slf.to.csv 3.163 3.350 3.423 3.500 3.614 3.576
hgu.to.csv 2.615 2.600 2.546 2.468 2.437 2.420
oym.to.csv 2.488 2.469 2.464 2.458 2.435 2.361
mai.to.csv 2.432 2.410 2.360 2.305 2.323 2.264
ngx.to.csv -0.846 -0.629 -0.513 -0.321 -0.131 -0.176
egu.to.csv 2.435 2.426 2.494 2.611 2.645 2.654
kat.to.csv 1.660 1.759 1.801 1.871 1.979 2.090
MMM.csv 3.707 3.740 3.830 3.828 3.761 3.769
ABT.csv -0.454 -0.271 -0.075 0.108 0.202 0.474
AES.csv 1.366 1.410 1.586 1.567 1.681 1.810
AA.csv -2.995 -3.004 -3.087 -2.608 -2.346 -2.240
ATI.csv 2.712 2.748 2.654 2.597 2.403 2.411
ALL.csv 1.176 1.161 1.334 1.490 1.717 1.902
MO.csv 4.810 5.037 5.222 5.391 5.344 5.382
AEP.csv 2.933 2.963 2.999 3.042 2.954 2.790
AXP.csv 2.947 3.243 3.057 3.260 3.494 3.332
AIG.csv 2.243 2.392 2.185 2.291 2.275 2.435
AMGN.csv 0.773 0.936 0.908 1.276 1.249 1.354
BUD.csv 1.932 2.023 2.080 2.124 2.175 2.091
T.csv 1.856 1.932 1.881 1.923 1.902 1.921
AVP.csv -0.788 -0.715 -0.691 -0.846 -0.600 -0.472
BHI.csv 2.382 2.351 2.171 2.175 2.173 2.100
BAC.csv -2.279 -2.147 -2.299 -2.334 -2.363 -2.510
BK.csv 5.014 5.172 4.815 5.182 5.137 5.098
BAX.csv 2.234 2.398 2.370 2.438 2.454 2.383
BA.csv -3.482 -3.528 -3.410 -3.033 -2.986 -2.795
BMY.csv 0.394 0.644 0.620 0.655 0.853 0.991
CPB.csv -6.663 -6.740 -7.219 -6.649 -6.221 -5.144
COF.csv -2.180 -1.835 -2.222 -2.041 -1.567 -1.355
CAT.csv -4.503 -4.207 -4.018 -3.552 -2.840 -2.114
CBS.csv 1.924 1.933 1.930 1.931 2.059 2.017
CI.csv 2.321 2.347 2.196 2.328 2.395 2.350
CSCO.csv -3.961 -3.510 -3.137 -2.720 -2.433 -1.612
C.csv 2.605 2.714 2.639 2.673 2.591 2.554
CCU.csv 2.631 2.637 2.755 2.634 2.605 2.464
KO.csv 3.874 3.997 4.029 4.171 3.860 3.835
CL.csv 1.992 2.000 1.908 1.921 1.801 1.802
CMCSA.csv 2.875 3.004 3.016 3.087 3.270 3.558
COP.csv 2.405 2.447 2.442 2.529 2.586 2.528
COV.csv 2.987 3.041 2.911 2.860 2.797 2.770
CVS.csv 1.807 1.930 1.770 1.801 1.471 1.528
CVX.csv 4.655 4.695 4.155 3.423 2.938 2.308
DELL.csv 2.316 2.360 2.337 2.333 2.295 2.380
DIS.csv -2.914 -2.957 -3.015 -2.738 -2.695 -2.714
DOW.csv 2.543 2.553 2.568 2.582 2.624 2.678
DD.csv -3.072 -3.077 -3.089 -3.186 -3.048 -3.076
EP.csv 2.838 2.906 2.807 2.922 2.886 2.816
EMC.csv 2.968 3.125 2.987 3.348 3.313 3.596
ETR.csv -3.060 -2.898 -2.818 -2.555 -2.419 -2.315
EXC.csv -0.566 -0.616 -0.438 -0.441 -0.395 -0.253
XOM.csv 2.454 2.595 2.559 2.484 2.130 1.806
CPB.csv -6.663 -6.740 -7.219 -6.649 -6.221 -5.144
FDX.csv 1.726 1.801 1.619 1.698 1.779 1.664
GD.csv 2.833 2.850 2.809 2.761 2.799 3.085
GE.csv -3.079 -2.953 -2.988 -2.897 -2.889 -3.007
GS.csv 2.657 2.952 2.966 3.223 3.465 3.429
HAL.csv 2.557 2.457 2.374 2.329 2.210 2.105
HIG.csv 2.302 2.316 2.296 2.412 2.378 2.475
HNZ.csv 2.076 2.190 2.104 2.198 2.204 2.335
HPQ.csv -3.541 -3.609 -3.518 -3.198 -3.004 -3.193
HD.csv 2.143 2.106 2.142 2.087 2.173 2.271
HON.csv 4.293 4.268 4.022 3.922 3.468 3.186
IP.csv 2.812 2.907 2.773 2.932 3.026 3.183
JNJ.csv 2.909 3.009 3.054 3.085 3.214 3.334
JPM.csv 2.042 2.753 2.932 3.748 4.010 3.663
KFT.csv 1.213 1.435 1.390 1.528 1.630 1.806
MCD.csv 0.600 0.650 0.540 0.688 0.924 0.989
MDT.csv 0.428 0.397 0.322 0.351 0.294 0.278
MRK.csv 3.679 3.793 3.922 4.047 4.329 4.401
MER.csv 0.794 0.812 0.833 0.834 0.936 1.057
MS.csv -0.143 0.306 0.355 0.956 1.260 1.632
NSC.csv 2.164 2.328 2.270 2.416 2.394 2.465
NYX.csv -1.164 -0.458 -0.270 0.522 0.948 1.345
ORCL.csv 2.102 2.122 2.109 2.272 2.331 2.374
PEP.csv -0.299 -0.070 -0.174 0.049 0.253 0.376
PFE.csv 1.321 1.421 1.435 1.509 1.514 1.668
PG.csv 3.098 3.331 3.548 3.701 3.984 4.354
RTN.csv 1.927 1.980 1.755 1.722 1.780 1.660
RF.csv -4.018 -4.361 -4.731 -5.095 -5.576 -6.241
ROK.csv 2.649 2.701 2.564 2.581 2.472 2.433
SLE.csv 2.310 2.312 2.230 2.240 2.381 2.406
SLB.csv 3.323 3.399 3.352 3.420 3.421 3.618
S.csv -3.942 -4.191 -4.467 -4.639 -4.477 -4.287
SO.csv 2.164 2.256 2.181 2.250 2.235 2.153
TGT.csv 3.184 2.956 2.506 2.477 2.430 2.202
TXN.csv 3.023 3.009 2.924 2.948 2.894 2.828
TWX.csv -2.010 -1.766 -1.513 -0.263 0.269 0.788
TYC.csv 1.055 1.436 1.483 1.978 2.200 2.541
UNH.csv 1.955 2.106 2.098 2.168 2.224 2.231
UPS.csv 2.093 2.138 1.938 1.890 1.860 1.938
UTX.csv 2.783 2.617 2.396 2.178 1.946 1.831
USB.csv 2.960 3.204 3.357 3.590 3.621 3.908
VZ.csv 2.025 2.035 2.068 2.062 2.064 2.157
WMT.csv 2.201 2.274 2.187 2.307 2.258 2.239
WFC.csv 3.285 3.660 3.778 3.733 4.032 3.970
WY.csv 3.885 4.198 4.055 4.405 4.224 4.080
WMB.csv 3.224 3.342 3.269 3.418 3.448 3.523
XRX.csv 2.471 2.555 2.529 2.438 2.392 2.444
bidu.csv 2.471 2.498 2.485 2.455 2.458 2.506
ioc.csv 2.870 2.940 2.816 2.959 3.048 3.032