2016-05-30 Markets closed: Memorial Day (observed)

Today the markets are closed in observance of Memorial Day.

geophf:1HaskellADay geophf$ ghci stock-market/trading-cal.hs

*Main> cal "stock-market/trading-cal.tsv" ~> tc

*Main> tc Map.! (read "2016-05-30")

Closed "Memorial Day - U.S."

TODO: This utility will be rolled up into Analytics.Trading.Data.Calendar

BREAKING! We can now show bird's-eye view of clustered Top5s securities

We have previous work clustering then visualizing the entire set of Top5s securities. Now, using the Data-Driven Document framework we have a high-level view of these clustered sets of Top5s securities:

This algorithm maps the top5s clusters to sets of concentric circles. TODO: it will be added to the data-visualization libraries.

2016-04-29 Trading Top5s Securities: LNKD

Markets top5s analysis for 2016-04-29

Created snapshot 20160430-134433 of top5s graph database; shunted to google drive

scrape

2016-04-29

Mkt_Cap:AMZN,BIDU,MNST,FB,ABX|GILD,WMT,AAPL,SNY,INTC

Price:BGS,SCSS,GNW,NUGT,HMSY|GLNG,SRCL,CPHD,MOH,STX

Volume:BAC,FCX,F,AAPL,QQQ,VALE,MSFT,GRPN,AA,GDX

Updated /Users/geophf/Documents/OneDrive/work/1HaskellADay/Seer/data/top5s.csv with 2016-04-29 data

Updating graph DaaS at http://top5ssecurities.sb02.stations.graphenedb.com:24789s

bubbles

FB looks super-appetizing (along with F, again! Go, F; go!) But the in-depth look shows LNKD a winner today. 

Let's analyze LNKD

LNKD SMA

LNKD EMA

LNKD Stochastic Oscillators

Questions. How did LNKD get to be a 17B USD company?

Note that these analysis base on close and not adjusted close; so I got slightly stung on the LNKD analysis. This is a FIXME here!

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2016-03-11 Trading Top5s Securities: MSFT (not DRYS)

Markets top5s analysis for 2016-03-11

Took snapshot 20160312-123239, shunted to google drive

scrape

2016-03-11

Mkt_Cap:PTR,GOOG,GOOGL,MSFT,MO|ABEV,LMCB,PG,RAI

Price:FNSR,FCE.B,NOAH,ULTA,DRYS|ZBRA,LMCB,LTRPB,CPPL

Volume:BAC,PFE,SIRI,FCX,WLL,CHK,SPY,GDX,PBR,MSFT

Updated /Users/geophf/Documents/OneDrive/work/1HaskellADay/Seer/data/top5s.csv with 2016-03-11 data

bubbles

Today, $MSFT did great, but let's look at an almost below-the-radar company $DRYS

geophf:writing geophf$ analyze DRYS

analyze: Ratio has zero denominator

Nope. No can do (not without a code rewrite), but a bit of digging shows this:

DRYS is down – a lot – yesterday, but what caught my eye is FOEAF, a $100M+ company. So it won't be seen on the Top5s (which limits itself to $1B+-companies), but here is an example of a company of interest on the top 5s showing interesting movements in related companies below the radar.

Let's get that 'related companies'-scraper working, geophf!

Let's analyze $MSFT

geophf:writing geophf$ analyze MSFT

Wrote analysis files for MSFT

MSFT SMA

MSFT EMA

MSFT Stochastic Oscillators

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TODO: Collect Libraries, Write Paper on Clustering and Graphing Heterogenous Data

You have this:

You need a better representation, like this

Which means you need to collect those data then scale them. Then you can look at clustering

to get something like this.

TODO: Collect these libraries here. Write this paper.

2016-03-10 Trading Top5s Securities: ZBRA

Markets Top5s analysis for 2016-03-10

Took 20160311-081043 snapshot; shunted to google drive

scrape:

2016-03-10

Mkt_Cap:GOOG,GOOGL,NVS,ITUB,MSFT|RDS.A,RDS.B,PTR,TOT

Price:DRYS,X,PRTY,JCOM,ZBRA|CSIQ,CPPL,ADRO

Volume:TWTR,WY,GSAT,SNDK,TSM,PE,GS,ZBRA,URBN,INTU

Updated /Users/geophf/Documents/OneDrive/work/1HaskellADay/Seer/data/top5s.csv with 2016-03-10 data

bubbles:

let's analyze $ZBRA.

Ooh, wait! I just saw this: https://www.google.com/finance?cid=662811 "Related companies"

TODO: write scraper for 'related companies.'

Okay, back to ZBRA analysis

geophf:writing geophf$ analyze ZBRA

Wrote analysis files for ZBRA

ZBRA SMA

ZBRA EMA

ZBRA Stochastic Oscillators

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2016-01-09 TODOs for [seer]

• CSV-printer for Order data-type. Perhaps from $AAPL's December case-study?
• Data analytics:
• Security has X associations for today and yesterday
• Security has been mentioned X times before in the Top 5s list in the last Y months
• Write $NFLX case-study
• Finish $AAPL case-study white paper.