Hi Michael!
May I ask what are you trying to predict? What error are you getting?
Did you remember to edit file run.py as in the HotGym tutorial?
If you are trying to use Numenta for "raw" financial data analysis I can
save you lots of time in telling you that I've tried to do the same
but... in my humble opinion Numenta isn't good for that at all. At least
for now. What Numenta really excels at is spatio-temporal patterns
recognition. I'm using it for medical purposes (and I'm trying to tweak
a bit some part of its own code too) and if you can visually (just
plotting your data) see a patterns... than Numenta can very probably do
it too!
For financial markets... well, it is already too difficult for
experienced algotraders and/or HedgeFund managers to do that :)
My two cents.
On 05/01/2016 11:55, Michael Lam wrote:
Hi,
I have been trying to use multiple parameters based on the hot gym
tutorial with some modifications, such as added an extra included field:
SWARM_DESCRIPTION = {
"includedFields": [
{
"fieldName": "timestamp",
"fieldType": "datetime"
},
{
"fieldName": "price",
"fieldType": "float",
"maxValue": 1000.0,
"minValue": 0.0
},
{
"fieldName": "trend",
"fieldType": "float",
"maxValue": 20.0,
"minValue": -20.0
}
],
notice I added "trend" in addition to "price", but after swarming, the
resulting params.csv file only has time and price in it, no trend.
Can someone tell me what I am doing wrong? Thanks.
--
Raf
www.madraf.com/algotrading
reply to: [email protected]
skype: algotrading_madraf
