Here is a simple scan for this idea:
[type = stock] and [country = us] and [daily sma(20,daily volume) > 40000] and [daily sma(1,daily close) < 1] and [daily close crosses daily ema(34,daily close)] and [daily slow stoch %k(14,3) crosses 50]
And here are the scan results for the Friday close:
AAGH Asia Global Holdings Corp. NASD 0.047 0.078 0.046 0.067 13905934
CLKTF Calcitech Ltd. NASD 0.350 0.400 0.350 0.400 43400
EACC eAutoclaims, Inc. NASD 0.135 0.170 0.130 0.150 6964091
FDEI Fidelis Energy Inc. NASD 0.023 0.029 0.023 0.027 486070
HNIN Horne Intl, Inc. NASD 0.415 0.470 0.410 0.470 607255
MHA Manhattan Pharmaceuticals, Inc. AMEX 0.720 0.770 0.720 0.770 188500
PVRS Providence Resources, Inc. NASD 0.500 0.610 0.495 0.600 219500
SEVT Summit Environmental Corp. Inc. NASD 0.130 0.190 0.130 0.190 21750
SKVY Sentry Technology Corp. NASD 0.051 0.058 0.046 0.058 165119
SPAZ Spatializer Audio Labs NASD 0.018 0.018 0.017 0.018 239617
VYGO Voyager Petroleum Inc. NASD 0.040 0.060 0.040 0.060 125000
Count: 11
And a month ago Friday:
ACKH Armstrong Holdings, Inc. NASD 0.305 0.320 0.300 0.315 587019
BPUR Biopure Corp. NASD 0.480 0.490 0.450 0.480 1717441
CFPC Coffee Pacifica Inc. NASD 0.900 0.900 0.790 0.900 38526
ERHE ERHC Energy Inc. NASD 0.410 0.430 0.410 0.415 739346
MIVT MIV Therapeutics Inc. NASD 0.610 0.640 0.610 0.620 243669
TKER Tasker Products Corp. NASD 0.193 0.193 0.185 0.185 365069
Count: 6
Performance appears to be better with higher priced general market stocks than cheapies. I'll explore other technical filters with cheapies to improve performance.
AI
