Fibonacci

Fibonacci is another buy/sell indicator sort of thing and am looking at incorporating - it is one where the first statement is 'if up trend do this, and if down trend do the other' (the same as Candlestick calcs) as well as pin pointing tops and bottoms of trends - luckily I have been working a long time trying to implement tops and bottoms, and am piggy backing our trace system onto Fibonacci -... as well as working on the 5.3b Candlesticks calculations (first step below, new bigger faster system)

First up, calculate the Markov chains for Fibonacci retracements.
Second, do something to get 5.3b Candlestick calculations to a reasonable time.

Sold AGTA into TOM just now on LSE.

new system

Awaiting delivery of new system -  the interesting bits being:

Processor (CPU)	Intel® Xeon® 8-Core E5-2687W (3.1 GHz, 8.00 GT/s, 20M L3 Cache)
Motherboard	ASUS® P9X79 WS - SOCKET 2011, QUAD DDR3, USB 3.0, SATA 6 GB/s
Memory (RAM)	32GB KINGSTON HYPERX GENESIS QUAD-DDR3 1600MHz X.M.P(8 x 4GB KIT)
Memory - 1st Hard Disk	240GB INTEL® 520 SERIES SSD, SATA 6 Gb/s (upto 550MB/sR | 520MB/sW)
2nd Hard Disk	240GB INTEL® 520 SERIES SSD, SATA 6 Gb/s (upto 550MB/sR | 520MB/sW)
3rd Hard Disk	240GB INTEL® 520 SERIES SSD, SATA 6 Gb/s (upto 550MB/sR | 520MB/sW)
4th Hard Disk	240GB INTEL® 520 SERIES SSD, SATA 6 Gb/s (upto 550MB/sR | 520MB/sW)

Multi disks and processor cores for the concurrent processing of Candlesticks

lets do 5.3 billion Candlestick calculations

Been heavily involved in trying to condense the Candlestick processing. The story so far is that I have 8 Candlestick indicators, 3 of which have 2 values and the remaining 5 have 22 values. What this gives is 256 divided by 2 combinations (each candlestick option appears only in half of the options) of 22 to the power 5 times 2 to the power 3, giving 5,277,319,168 separate Candlestick calculations - as the previous indicator calculations take 2 hours per company for 300,000 odd calculations, then 5.3b will take approximately 4 years per company to complete, there are approximately 2,500 companies in the LSE, and so we should be finished by about the year 12012. This is unacceptable, and so thinking up ways to optimise.  

EXI - SXX, WSG, VTBR

Came out of EXI with the required 11.5%, but then got taught a valuable lesson in trading with SXX - SXX via L2 was trading nicely with 14.5 as buy and 14.7 as sell, so I thought I'd go in at 14.6, as one would. But in a rising trend there were no takers for 14.6 and so lost out on todays high of 16.0 (at end of day) - I guess the lesson is that on a rising trend go with the sellers numbers.

SXX is not triggered this evening, but WSG and VTBR are - as are some others that are on the tweet. WSG tomorrow.

FX

oasis and FX has been moved to a different blog here

tweedle dee or tweedle dum

An interesting fight is currently being waged between 2 of my success coefficients - with the current proponents being QPP and SNRP (on the LSE).

Both companies had been tweeted yesterday.

The first coefficient relates to the number of trace formulae triggered; the second relates to the number of times the formulae have triggered in the past averaged over the triggered formulae.

The numbers respectively are:

QPP      37        2.946

SNRP    233     2.09

Of note are that all of the numbers for each company are outstanding, 233 is a very high number (and if you remember we carry out around 300,000 per company), with 2.946 also being a respectful number (and has the meaning that from all of the 37 formulae that were triggered yesterday, the number of times these were triggered and reached an 11.5% increase over the subsequent 5 days was 2.946, to get more than 2 triggers is extraordinary)

But lets say we need to go for one, which one to choose. Better number of triggers or better times triggered, or a relationship between these.

Currently today QPP is up 5.77% and SNRP is up 2.33%, so at the moment it is coming down on the side of tweedle dum (or success coefficient number 2), but I am now looking at the relationship between these numbers.

To complete the set for yesterday and as a note, the remaining tweets were:

PVCS  145  2.000

STCM  31   2.000

AGY     4    2.000

CYAN 15   2.000

For reference I have added these two success coefficients onto the tweeted information

all are equal

... but some are more equal than others.

The trace tweets are now ordered by not only the trace algorithm but also the success coefficients - if one had all the triggered results this would not matter, but the auto process only tweets five tweets - so now with added goodness at the top.

Top of the list for LSE is something called RBPI but as this doesn't seem to exist on either LSE shares nor Google Finance, the top one today for LSE is AST.