I don’t know any of this tool. I just started to learn, so it is hard to understand which one I should choose. Can you recommend the right tool or explain when use which one?
I think you first need to think about the methodology and only then the tools.
Conventional wisdom is that you cannot predict if prices will go up / down on the stock market other than that in the long run it has kept going up for the stock market as a whole so far.
Can you precise what information I should add to my question to let you answer which tool I should use?
The assumption is I don’t know what will work if any.
Conventional wisdom is that you cannot predict if prices will go up / down on the stock market other than that in the long run it has kept going up for the stock market as a whole so far.
Probably, then I will prove it doesn’t work But maybe there are some situations to detect like panic, correlation with delay between others instruments etc.
I have DataSet like this for each pair of crypto. Of course output can be modified to find the one which will perform well. So for example it can be 4 categories like up / down / very up / very down or number if it will work better.
b_open
b_close
b_min
b_max
trades
a_volume
b_volume
taker_buy_a_volume
taker_buy_b_volume
output
open_time
2019-09-19 10:02:00+00:00
9881.43
9881.43
9881.43
9881.43
1.0
0.001113
1.099803e+01
0.001113
10.998032
up
2019-09-19 10:03:00+00:00
9881.43
9881.43
9881.43
9881.43
0.0
0.000000
0.000000e+00
0.000000
0.000000
down
2019-09-19 10:04:00+00:00
9878.36
9878.36
9878.36
9878.36
1.0
0.012940
1.278260e+02
0.012940
127.825978
up
2019-09-19 10:05:00+00:00
9878.36
9878.36
9878.36
9878.36
0.0
0.000000
0.000000e+00
0.000000
0.000000
up
2019-09-19 10:06:00+00:00
9878.36
9878.36
9878.36
9878.36
0.0
0.000000
0.000000e+00
0.000000
0.000000
up
…
…
…
…
…
…
…
…
…
…
…
2022-08-20 23:54:00+00:00
21163.60
21163.15
21157.75
21165.00
232.0
7.238290
1.531763e+05
3.244370
68659.152854
down
2022-08-20 23:55:00+00:00
21163.30
21153.18
21148.72
21163.80
376.0
21.761410
4.603385e+05
10.989020
232455.859014
down
2022-08-20 23:56:00+00:00
21153.00
21152.26
21147.74
21155.00
280.0
17.670890
3.737588e+05
8.656380
183098.366984
down
2022-08-20 23:57:00+00:00
21152.40
21150.93
21147.74
21155.48
408.0
30.842110
6.523626e+05
14.203100
300419.935757
down
2022-08-20 23:58:00+00:00
21150.23
21133.44
21131.23
21155.63
586.0
47.517780
1.004668e+06
24.207030
511790.728087
up
PS Of course I can and probably I will convert them to represent the change of the values instead of the raw value. The table is representation of from what I am starting.