Running fractal analysis on all US stocks that trade more than 250K in avg volume for the past 80 days (about), and also limiting them so that they must have over 1600 trading days of data (over 6 years) - looking for non-random breaks in the entropy...
The following stocks have better than random chances of going up (this is relatively long term, there might be some that are even better in the short term - but anything short term is going to have a large enough margin of error to negate the change in probability anyway):
(these are in order of highest probability to go up over time consistently - if you want I can reorder them in order of which will have the largest swings in movement - I believe TRO would be at the top in that one)
ESS
PNP
MGA
MRGE
TRO
CTSH
INKP
CEDC
MVL
MAC
NANO
POG
UHCO
CLI
HME
AFCO
EPIQ
REG
ADVP
If you just want some stocks that are good, but with no analysis and are as likely to go up or down as anything else, then:
G, MO, ENT, PFE, RNR, DEO, C, MC, KO, CSCO
Those are some well known and relatively highly traded stocks in a few different sectors.
By putting money into them evenly (10% into each), and then keeping that 10% constant over time, you mathematically are going to do at least as well as an index fund and have a very high probability of beating it on average over time.
It becomes easier the more stocks you spread it over (but conversely becomes less effective as you trade more if your trading fees negate the amount you can move).
In order to benefit most from this, you would likely want to avoid capital gains taxes and reduce you trading fees and therefore just update the portfolio once a year (redistributing the money so that they are all at 10% of the total money).
If you are going to do that though, you would find it even easier to just put your money in a mutual fund (I like Fidelity's biotech) or an index fund.
If you just want hot tips that are risky as hell, then put all of your money into either HEC or EVOL.