Weekly Trend Prediction For Selected Stocks

Long stocks (April 15 ,2012) 

Nutraceutical International Corp. (NUTR)
Baidu, Inc. (BIDU)

Short Stocks

Mercator Minerals, Ltd. (ML.TO)
Katanga Mining Ltd (KAT.TO)
Allegheny Technologies Inc. (ATI)
Xerox Corp. (XRX)

Over all index is +1, week ago was +17, two weeks ago was +20

 16 points drop in the index for this week ,still positive territory,

close stops should be used .    

to see how trend index performed in the past ,please click on Free Stocks Report above

Detailed, specific stock analysis: i.e. +3 signals buy, -3 signals sell.

bold indicates existing long or short

       abl.csv -2.326 -2.132 -2.106 -2.007 -2.006 -1.945
abx.to.csv -3.148 -3.162 -3.332 -3.125 -3.216 -3.156
acu.csv 3.179 3.085 3.233 3.018 3.019 3.067
acy.csv 2.318 2.326 2.304 2.310 2.291 2.240
adk.csv -1.580 -1.415 -1.364 -1.391 -1.285 -1.180
ae.csv 3.267 3.306 3.330 3.376 3.452 3.410
aey.csv 4.164 4.166 4.472 4.401 4.484 4.618
aim.csv -1.576 -1.653 -1.348 -1.247 -1.130 -1.048
aip.csv -1.111 -1.064 -0.991 -1.074 -1.162 -1.286
ais.csv 3.088 3.193 3.303 3.365 3.479 3.514
amm.csv 2.547 2.626 2.724 2.879 3.038 3.164
amzn.csv 3.014 3.377 3.462 3.227 3.432 3.172
ano.csv -1.960 -1.951 -1.833 -1.673 -1.451 -1.556
anx.csv 1.754 1.787 1.919 1.759 1.974 1.851
api.csv -0.302 -0.114 0.042 0.296 0.429 0.425
aqq.csv -2.310 -2.172 -1.964 -1.770 -1.711 -1.436
arba.csv 2.658 2.460 2.404 2.416 2.385 2.466
atro.csv -2.039 -1.216 -1.079 -0.690 -0.029 0.452
auy.csv -0.135 -0.012 0.104 0.253 0.275 0.531
ba.csv -0.181 0.189 0.050 -0.105 0.457 1.068
bmo.to.csv 1.731 2.086 2.170 2.225 2.340 2.515
bp.csv 0.773 0.926 1.005 1.232 1.367 1.525
bto.csv 2.346 2.327 2.374 2.430 2.536 2.558
cco.to.csv 0.578 0.761 0.822 0.977 1.128 1.205
cmed.csv -3.308 -3.360 -3.313 -3.210 -3.196 -2.990
cm.to.csv 1.405 1.725 1.846 1.853 1.899 1.835
dit.csv -1.437 -1.359 -1.446 -1.422 -1.391 -1.389
dsg.to.csv 2.904 2.994 3.043 3.001 2.932 2.913
f.csv 1.089 1.432 1.378 1.557 1.732 1.819
fax.csv 0.477 0.560 0.682 0.876 0.963 1.093
ge.csv 2.013 2.107 2.178 2.096 2.213 2.355
gfi.csv -3.330 -3.162 -3.199 -3.195 -3.116 -3.046
hbu.to.csv -0.816 -0.626 -0.612 -0.391 -0.434 -0.409
hd.csv 2.465 2.478 2.468 2.458 2.509 2.586
hon.csv 1.663 1.810 1.778 1.891 2.063 2.268
hpq.csv -2.391 -2.372 -2.348 -2.459 -2.463 -2.450
iaf.csv 2.152 2.274 2.148 2.176 2.246 2.374
igt.to.csv -1.979 -1.986 -1.973 -2.051 -2.123 -2.229
inin.csv 2.598 2.592 2.567 2.521 2.570 2.554
intc.csv 2.422 2.485 2.466 2.558 2.620 2.680
ip.csv 2.076 2.128 2.174 2.270 2.386 2.471
jnj.csv 0.680 1.261 1.818 1.932 2.446 3.008
k.to.csv -2.433 -2.342 -2.360 -2.309 -2.378 -2.451
ko.csv 3.802 4.019 4.013 4.139 4.144 4.274
mcd.csv -1.150 -1.025 -0.896 -1.198 -0.956 -1.084
mfc.to.csv 2.618 2.879 2.759 2.937 3.044 3.257
mo.csv 2.774 2.774 2.785 2.808 2.848 2.872
mos.csv 0.207 0.580 0.793 1.112 1.428 1.633
msft.csv 2.025 2.147 2.172 2.285 2.412 2.475
na.to.csv 2.110 2.163 2.229 2.290 2.323 2.418
nbg.csv 0.525 0.580 0.645 0.801 0.938 1.011
ngd.to.csv -2.056 -2.075 -2.134 -2.064 -2.060 -2.135
nutr.csv 3.058 3.071 2.912 2.848 2.733 2.749
otc.to.csv 2.170 2.241 2.276 2.255 2.293 2.226
pmfg.csv -2.622 -2.545 -2.542 -2.638 -2.674 -2.686
pot.to.csv -0.119 0.359 0.419 0.704 0.774 1.008
rc.to.csv 2.254 1.958 1.522 1.440 1.276 1.401
rimm.csv -2.260 -2.060 -1.964 -1.989 -1.810 -1.756
ry.to.csv 2.031 2.180 2.174 2.340 2.402 2.467
sio.v.csv -0.731 -0.035 -0.473 -0.345 -0.039 0.829
slw.csv 0.666 0.822 0.926 0.865 0.927 0.989
t.csv 2.217 2.258 2.309 2.377 2.549 2.705
td.csv 2.336 2.426 2.450 2.508 2.544 2.576
utx.csv 1.837 2.020 1.990 2.131 2.264 2.419
uuu.to.csv 1.732 1.879 1.916 1.953 2.101 2.158
uxg.to.csv 0.817 0.446 -0.035 -0.432 -0.731 -1.013
XIU.to.csv 0.732 1.085 1.113 1.226 1.517 1.790
AMC.to.csv 1.414 1.494 1.690 1.579 1.797 1.991
bnk.to.csv -2.969 -2.918 -2.914 -3.067 -3.060 -2.958
hnu.to.csv -2.115 -2.073 -2.095 -2.122 -2.106 -2.109
su.to.csv 0.102 0.358 0.387 0.614 0.901 1.096
CNQ.to.csv -2.818 -2.703 -2.560 -2.529 -2.427 -2.253
QEC.to.csv -1.029 -0.752 -0.270 -0.529 -0.384 -0.224
YRI.to.csv -1.152 -0.970 -0.956 -0.826 -0.891 -0.449
HOU.to.csv 0.357 0.449 0.599 0.626 0.951 1.282
BAJ.to.csv 1.825 1.906 2.074 2.121 2.166 2.377
tlm.to.csv 0.504 0.681 0.698 0.880 1.248 1.345
pls.to.csv 2.411 2.502 2.459 2.430 2.405 2.324
eca.to.csv 0.309 1.032 1.427 1.603 1.805 2.095
cga.to.csv -2.055 -1.941 -1.969 -2.143 -2.243 -2.057
GCE.to.csv 2.449 2.205 2.246 1.980 1.821 1.783
bns.to.csv 2.586 2.760 2.806 2.826 2.926 2.967
cve.to.csv 0.424 0.807 0.934 1.106 1.166 1.498
sru.to.csv -4.675 -4.130 -3.695 -2.749 -2.355 -1.423
hrg.to.csv -1.785 -1.664 -1.746 -1.577 -1.459 -1.481
nxy.to.csv 1.203 1.200 1.242 1.349 1.526 1.629
eld.to.csv -2.343 -2.293 -2.608 -2.545 -2.793 -2.858
lun.to.csv 0.062 0.270 0.388 0.463 0.591 0.775
IE.to.csv -0.373 -0.171 -0.010 0.244 0.487 0.754
gbu.to.csv -3.804 -3.685 -3.614 -3.674 -3.728 -3.692
gte.to.csv 2.374 2.410 2.310 2.210 2.215 2.375
bce.to.csv -1.326 -1.370 -1.341 -1.282 -1.100 -0.910
ivn.to.csv -4.732 -4.486 -4.352 -4.043 -3.741 -3.501
cum.to.csv -2.856 -2.694 -2.731 -2.588 -2.368 -2.334
vt.to.csv 3.275 3.434 3.691 3.921 4.242 4.482
CRK.to.csv -0.378 -0.213 -0.176 -0.096 0.086 0.076
qux.to.csv 1.779 1.716 1.746 1.637 1.769 1.824
cll.to.csv 0.110 0.459 0.553 0.646 0.625 0.730
hnd.to.csv 3.244 3.259 3.219 3.260 3.126 3.205
ml.to.csv -3.214 -3.054 -3.192 -2.973 -2.996 -2.764
slf.to.csv 2.937 2.984 2.870 2.828 2.965 3.088
hgu.to.csv -2.915 -2.927 -2.999 -2.924 -2.830 -2.866
oym.to.csv 0.555 0.846 0.893 0.993 1.299 1.204
mai.to.csv 1.305 1.057 0.287 -0.208 -0.484 -0.705
egu.to.csv 1.974 1.996 1.889 1.895 1.699 1.603
kat.to.csv -3.237 -3.060 -2.887 -2.759 -2.658 -2.766
MMM.csv 1.808 1.879 1.896 2.001 2.105 2.189
ABT.csv 2.949 3.052 3.110 3.227 3.299 3.488
AES.csv 1.104 1.336 1.455 1.504 1.713 1.788
AA.csv 0.710 0.981 0.943 0.977 1.243 1.384
ATI.csv -3.093 -2.978 -2.930 -2.871 -2.637 -2.561
ALL.csv 2.297 2.381 2.432 2.513 2.534 2.574
AEP.csv -2.717 -2.640 -2.598 -2.518 -2.466 -2.479
AXP.csv 2.918 3.043 2.985 3.060 3.199 3.256
AIG.csv 2.828 2.906 2.775 2.774 2.806 2.839
AMGN.csv 1.036 1.219 1.242 1.292 1.318 1.516
BUD.csv 2.574 2.688 2.700 2.734 2.819 2.834
AVP.csv 4.436 4.032 3.759 3.483 3.213 3.099
BHI.csv -3.889 -3.886 -4.137 -4.047 -4.159 -3.976
BK.csv 2.544 2.694 2.805 2.755 2.937 3.132
BAX.csv 2.341 2.409 2.453 2.482 2.621 2.687
BMY.csv 0.141 0.070 0.157 0.215 0.168 0.108
CPB.csv 2.896 2.736 2.579 2.395 2.505 2.181
COF.csv 2.817 3.016 3.069 3.145 3.291 3.459
CAT.csv 1.212 1.276 1.323 1.416 1.420 1.532
CBS.csv 2.610 2.665 2.826 2.905 2.910 3.017
CI.csv 4.122 4.252 4.410 4.307 4.389 4.511
CSCO.csv 2.306 2.397 2.505 2.501 2.619 2.609
CCU.csv 2.386 2.327 2.433 2.503 2.442 2.517
KO.csv 3.802 4.019 4.013 4.139 4.144 4.274
CL.csv 2.851 2.851 2.775 2.924 2.976 3.085
CMCSA.csv 2.298 2.334 2.355 2.331 2.462 2.497
COP.csv 1.761 1.869 1.819 1.938 2.097 2.347
COV.csv 2.223 2.332 2.346 2.377 2.509 2.569
CVS.csv 1.793 1.877 1.986 2.035 2.248 2.195
CVX.csv -1.322 -0.923 -0.752 -0.184 0.318 1.017
DELL.csv 0.939 1.046 1.202 1.237 1.293 1.348
DIS.csv 2.113 2.185 2.143 2.219 2.321 2.488
DOW.csv 1.641 1.709 1.790 1.776 1.975 2.009
DD.csv 2.270 2.405 2.442 2.394 2.426 2.555
EP.csv 2.745 2.856 2.918 2.954 3.074 3.156
EMC.csv 2.543 2.636 2.631 2.696 2.819 2.821
ETR.csv -2.565 -2.545 -2.541 -2.574 -2.506 -2.524
EXC.csv -2.115 -1.969 -1.890 -1.926 -1.903 -1.955
XOM.csv -0.954 -0.421 -0.328 0.212 1.040 1.487
FDX.csv 0.907 1.070 1.181 1.204 1.506 1.658
GD.csv 1.717 1.925 1.958 1.928 2.018 2.125
GS.csv 2.214 2.344 2.358 2.392 2.526 2.583
HAL.csv -1.289 -1.137 -1.132 -1.139 -1.070 -0.832
HIG.csv 2.405 2.489 2.508 2.550 2.678 2.814
HNZ.csv 2.329 2.582 2.594 2.312 2.375 2.127
KFT.csv 0.360 0.666 0.878 1.042 1.185 1.428
MDT.csv 0.528 1.021 1.105 1.217 1.456 1.568
MRK.csv 2.013 2.220 2.238 2.188 2.196 2.031
MER.csv -3.113 -3.053 -3.208 -3.317 -3.442 -3.473
MS.csv 1.416 1.595 1.704 1.987 2.246 2.451
NSC.csv -2.849 -2.908 -3.014 -2.891 -2.826 -2.684
NYX.csv 1.920 2.003 1.970 2.111 2.288 2.328
ORCL.csv 1.337 1.410 1.547 1.559 1.630 1.590
PEP.csv 1.460 1.569 1.712 1.841 1.940 2.087
PFE.csv 2.295 2.314 2.273 2.303 2.327 2.461
PG.csv 1.587 1.693 1.911 1.945 2.161 2.303
RTN.csv 2.318 2.341 2.223 2.255 2.335 2.461
RF.csv 2.439 2.504 2.528 2.465 2.571 2.621
ROK.csv 1.026 1.284 1.330 1.362 1.410 1.703
SLE.csv 2.404 2.448 2.460 2.513 2.536 2.789
SLB.csv -0.226 0.148 0.207 0.279 0.490 0.533
S.csv 2.714 2.543 2.575 2.494 2.594 2.537
SO.csv 0.514 0.597 0.527 0.471 0.702 0.851
TGT.csv 2.626 2.666 2.715 2.684 2.743 2.694
TXN.csv 1.408 1.491 1.693 1.759 1.928 2.109
TWX.csv -0.036 0.212 0.584 0.603 0.916 1.153
TYC.csv 2.746 2.794 2.852 2.870 2.977 3.006
UNH.csv 2.455 2.508 2.541 2.524 2.492 2.490
UPS.csv 2.485 2.508 2.620 2.710 2.714 2.779
USB.csv 2.671 2.771 2.838 2.877 2.901 2.977
VZ.csv -0.931 -0.444 -0.054 0.117 0.817 1.221
WMT.csv 1.610 1.885 2.153 2.421 2.820 2.616
WFC.csv 2.462 2.613 2.619 2.647 2.785 2.806
WY.csv 2.039 2.198 2.168 2.212 2.270 2.285
WMB.csv 2.531 2.520 2.424 2.437 2.518 2.456
XRX.csv -3.002 -2.637 -2.422 -1.587 -0.941 0.142
bidu.csv 3.059 3.102 3.128 3.080 3.014 2.986
NML.TO.csv 1.237 1.217 1.254 1.289 1.429 1.571
FSLR.csv -2.663 -2.516 -2.512 -2.555 -2.518 -2.605
DRYS.csv 2.507 2.584 2.650 2.584 2.586 2.616
SLV.csv 0.951 1.114 1.057 1.050 1.219 1.339
GLD.csv -0.189 -0.051 -0.027 0.029 0.194 0.214
PCLN.csv 2.965 2.992 2.963 2.980 2.981 2.989
fcx.csv -0.830 -0.624 -0.609 -0.515 -0.373 -0.162
C.csv 2.423 2.409 2.417 2.522 2.708 2.816
BAC.csv 2.514 2.642 2.661 2.709 2.806 2.887
JPM.csv 2.601 2.770 2.753 2.775 2.866 2.969
ibm.csv 2.675 2.863 2.785 2.899 2.942 3.005
goog.csv 2.270 2.574 2.436 2.472 2.376 2.423
aapl.csv 2.740 2.772 2.745 2.800 2.825 2.810
GNW.csv 1.328 1.462 1.503 1.537 1.727 1.827