Finding patterns in random data - Drops - overlapping

Reply #16

ddude003 — Mon, 18 Aug 2025 00:53:45 GMT

You had said I am looking for someone who can provide me with some real time-series data (share prices, signal processing, etc) so I can test my algorithms.

I provided an example way that you could get all the financial time series data you could ever want... Sorry that the formatting is a bitch on LoteryPost...

I would suggest you look at more than the closing price... Volume tells the story... Also, a close look at fundamentals can help pick more stable/unstable instruments... And the... [ More ]

Reply #15

HeinRich-ZA — Sun, 17 Aug 2025 23:41:57 GMT

My programs are closer to time-series analysis and pattern analysis than combinatorics.

More specifically:

The program looks for

all occurances of sub sequences of numbers, n1, n2, ... nm

in a main sequence, n0 ... mz

where n1 n2 ... nm

and then calculates the probability of each sequence.

The goal is not to find a specific sub sequence, but to find downward trends.

The program can be used to predict the next number:

E.g. If you have observed that the last 3 num... [ More ]

Reply #14

ddude003 — Sun, 17 Aug 2025 22:46:52 GMT

A little cut and paste from one of my trend following hacks... Minus the trend following part... Leaving just the getting of data, reformatting writing the reformatted data as a .csv file...

# # Get a financial symbols open, high, low, close volume... # # library(TTR) library(quantmod) # today = Sys.Date() zdate = format(today, %d %b %Y ) # with month as a word # asym = getSymbols('GLD',from=today-65, auto.assign = FALSE) # open = Op(asym) colnames(open) - c( Open ) # high = Hi(asym) colname... [ More ]

Reply #13

hypersoniq — Sun, 17 Aug 2025 16:47:06 GMT

Good info!

Also of interest is this one

https://CRAN.R-project.org/view=DynamicVisualizations

Reply #12

ddude003 — Sat, 16 Aug 2025 23:06:56 GMT

Good luck in your efforts

Reply #11

HeinRich-ZA — Sat, 16 Aug 2025 03:18:39 GMT

I understand your maths, but my programs work differently.

Reply #10

HeinRich-ZA — Sat, 16 Aug 2025 03:17:34 GMT

To find something in that fire hydrant that may be useful to me is a nightmare. Easier to write my own programs.

Reply #9

ddude003 — Sat, 16 Aug 2025 01:11:05 GMT

Your favorite AI might even help you write the code to interactivity down load a financial instruments time series data, reformat to your liking and even run one or more time series analysis and forecasting algorithms...

Reply #8

ddude003 — Sat, 16 Aug 2025 00:49:25 GMT

I have found that R has an abundance of time series analysis packages including financial time series data collection and analysis...

A sip from the fire hydrant https://cran.r-project.org/web/views/TimeSeries.html...

If I remember correctly there are some getSymbols type of function in the quantmod package...

Reply #7

Orange71 — Fri, 15 Aug 2025 15:21:50 GMT

If each number is unique, and there are m numbers, then the probability of a particular order (one direction, either least to greatest or vice versa) is 1/m! . If k ( m) numbers have already occurred in order, then the conditional probability the next number picked will be the next in sequence is 1/(m-k).

Reply #6

HeinRich-ZA — Thu, 14 Aug 2025 13:47:02 GMT

I have found, but it was not easy. I had to crawl through lots of pop-ups, badly designed websites, downloaded several useless formats, etc. It took 2 hours to 2 useful datasets.

Reply #5

ddude003 — Thu, 14 Aug 2025 04:25:34 GMT

It is pretty easy to get/scrape financial and/or lottery time series data from many sources for analysis... Google is your is your frenemey... And then you might try something like finviz.com if your more inclined towards financial markets...

Good luck in your endeavors fren...

Reply #4

HeinRich-ZA — Thu, 14 Aug 2025 02:57:50 GMT

My aim was the lottery. I begin to realize that my algorithms may be useful for any time-series analysis.

I am looking for someone who can provide me with some real time-series data (share prices, signal processing, etc) so I can test my algorithms.

Reply #3

ddude003 — Thu, 14 Aug 2025 01:10:32 GMT

E.g. If you want to predict when a share price will drop low enough to make it worth buying.

Are you predicting the financial markets or the Lottery?

Sounds like you are using some time series forecasting algorithms...

Reply #2

HeinRich-ZA — Wed, 13 Aug 2025 02:54:18 GMT

My programs look for long term trends. You question is irrelevant.

Reply #1

Il2c — Tue, 12 Aug 2025 03:47:36 GMT

Elaborate.

61.4

86.5

0.16

what are the next 5 numbers

Finding patterns in random data - Drops - overlapping

HeinRich-ZA — Fri, 08 Aug 2025 03:12:41 GMT

The program looks for a sequence of numbers, n1, n2, ... mn, where n1 n2 ... mn

and then calculates the probability of each sequence.

E.g. If you have observed that the last 3 numbers were: n1 n2 n3

then the program will tell you the probability that the next number in the sequence will be n0.

You can also specify a minimum value for n0.

E.g. If you want to predict when a share price will drop low enough to make it worth buying.

For a free report, send a list of integers (no... [ More ]