Archive for May, 2010

Public Data from the Exchanges, Part 3

Today we review the data available from three New York exhanges with restrictive linking policies: NSX, NYSE, and NASDAQ. NSX and NYSE do not permit linking directly to any part of their web sites without prior written permission. NASDAQ permits linking only to their front page without other authorization.

  • The National Stock Exchange (http://www.nsx.com) has a policy which prohibits any and all hypertext linking to their web site without prior written consent. They don’t have a lot of data series publicly available at this point, but you can find their daily short interest archives on their web site without registration. With free registration, they also provide some volume and pricing historical information on ETFs traded on their exchange.
  • NASDAQ prohibits linking to any of its pages (other than its front page) without prior written permission, but they offer a tremendous wealth of data, including:
    • Quotes, both real-time and historical (up to 10 years)
    • After-hours and pre-market quotes (realtime)
    • Options quotes
    • Analyst estimates
    • News
    • Technical indicators (with StockConsultant)
    • News
    • Financial variables from SEC 10-K (past four years) and 10-Q (past year) in XBRL
    • Short sale information, updated twice monthly
    • Institutional and insider trading information
    • Competitor information
    • Transcripts from earnings calls, conference calls, and the like

    NASDAQ also operates an anonymous ftp site on which it files data per regulatory requirements (short selling and threshold securities) and for other purposes at ftp://ftp.nasdaqtrader.com/. Sometimes it is hard to access it, perhaps due to high demand.

  • The New York Stock Exchange sells detailed market data through their web site, NYSE Technologies (http://www.nyxdata.com/), but they do make some information available for free on their main corporate web site (http://www.nyse.com/), including:
    • Summary information for listed securities
    • SEC filings, with an increasing number of tables in spreadsheet format
  • NYSE also operates an anonymous FTP site for regulatory compliance and other purposes at ftp://ftp.nyxdata.com/. It contains short sale information for ARCA securities and other data. Access to it is a bit patchy during some times of the day, perhaps due to high demand.

Stay tuned for part four in this series: data from OTC exchanges.

twitter Public Data from the Exchanges, Part 3digg Public Data from the Exchanges, Part 3reddit Public Data from the Exchanges, Part 3email Public Data from the Exchanges, Part 3

Chart of the Day 2010/05/28: December Oats Futures

The decline in December oats futures prices appears to have slowed somewhat, and the chart suggests guarded bullishness.

twitter Chart of the Day 2010/05/28: December Oats Futuresdigg Chart of the Day 2010/05/28: December Oats Futuresreddit Chart of the Day 2010/05/28: December Oats Futuresemail Chart of the Day 2010/05/28: December Oats Futures

Chart of the Day 2010/05/27: Venture Capital Fundraising

The National Venture Capital Association has reported that Q1 2010 was the slowest opening quarter in venture capital fundraising since 1993.

twitter Chart of the Day 2010/05/27: Venture Capital Fundraisingdigg Chart of the Day 2010/05/27: Venture Capital Fundraisingreddit Chart of the Day 2010/05/27: Venture Capital Fundraisingemail Chart of the Day 2010/05/27: Venture Capital Fundraising

Chart of the Day 2010/05/26: Several Technical Indicators Look Bearish

According to several of the models run by the folks at StockTA.com, the the market is headed for some serious bearish activity. The 14/3 day stochastic oscillator suggests short-term bullishness. Earnings have been pretty good lately, and recently there have been some favorable reports on economic fundamentals, but there have also been a lot of unfavorable ones.

Short term, I’m bullish. Long term… it doesn’t look good to me at this point, but I think it’s too early to call.

tachart Chart of the Day 2010/05/26: Several Technical Indicators Look Bearish

Update 07:27 AKST: At around 10:00 EST I took a look at the S&P and figured it would top out at around 11:00. It looked like a good time to get out at 10:42 (06:57 AKST) when the S&P was at around 109.45. I think that was pretty close to the top for the day.

Note: I was watching a 15-minute chart on Yahoo! Finance, not placing real trades.

Update 18:00 AKST: That was indeed very close to the daily top. Tomorrow’s chart looks a little more favorable than today’s. But recent market movements resemble the leading 3/4 of a head-and shoulders pattern; if that pattern completes, it may be a long way to the bottom.

twitter Chart of the Day 2010/05/26: Several Technical Indicators Look Bearishdigg Chart of the Day 2010/05/26: Several Technical Indicators Look Bearishreddit Chart of the Day 2010/05/26: Several Technical Indicators Look Bearishemail Chart of the Day 2010/05/26: Several Technical Indicators Look Bearish

Chart of the Day 2010/05/25: The S&P 500 in SDRs

As promised, today’s chart of the day is the S&P 500 in SDRs. Some of the technicals are a bit muddy, but I’m surprised at how sharp some of them are.

A few items of interest:

  1. The classic head and shoulders pattern.
  2. The top of a falling wedge.
  3. The top of a rising wedge-like construct.
  4. The bottom of the aforementioned rising wedge-like construct.
  5. Another head and shoulders. Not quite as clean.
  6. A key support/resistance level. In my opinion, substantial deviation in either direction from this price level appears likely to indicate the prevailing market direction for a year or so.

twitter Chart of the Day 2010/05/25: The S&P 500 in SDRsdigg Chart of the Day 2010/05/25: The S&P 500 in SDRsreddit Chart of the Day 2010/05/25: The S&P 500 in SDRsemail Chart of the Day 2010/05/25: The S&P 500 in SDRs

Historical Stock Price Data from Way Back

What is that which hath been? it is that which is, and what is that which hath been done? it is that which is done, and there is not an entirely new thing under the sun.

–Ecclesiastes 1:9

Click here to skip the commentary.

One thing I’ve heard from some of the top minds in economics: When modeling financial data, it is critical to use data extending as far back as possible. While occasionally there are good reasons to utilize only a subset of a given series in a particular model, modeling the maximum timespan for which data are available is generally a good idea, especially when analyzing risk. After all, if you don’t look back more than several decades, how can you expect to anticipate a systematic crash that occurs once a century?

Now, nobody is arguing that data from the far-flung past is a panacea. Sometimes it can be downright misleading. There are several things to watch out for when analyzing historical series from far in the past:

  1. The quality of data from the distant past varies. Some of it is extremely accurate; some if it is not. In many instances, there is no way to verify its accuracy.
  2. In some cases, historians have provided approximations for missing entries in historical data. Usually this is clearly identified, but there is no guarantee. Approximated series may not be appropriate for some types of analysis, and a historian’s choice of approximation scheme may not always match yours.
  3. Methodologies used in historic times may vary greatly from modern standards and may even vary unexpectedly within the same dataset. Recently recorded data is often higher quality than data from the distant past.
  4. There have been major systematic changes in economic systems. Nations have gone from communist to capitalist, from autarchies to participants in the global economy. Resources have dried up and been discovered. New discoveries have been made, and old inventions have gone out of use. Sometimes, historical data from far in the past simply isn’t relevant in modern times.
  5. There have been major systematic changes in financial systems. Metallic standards have come and gone. Central banks have reigned and been dissolved. Financial systems have increased enormously in terms of speed, transparency, and efficiency.
  6. There have been major changes in market philosophy. Some of these changes have had an impact on market psychology.
  7. There have been major changes in political systems. Wars, treaties, securities regulations–the list goes on.
  8. Of course, past performance is not necessarily an indicator of future performance. In particular, when market participants and other entities have the benefit of hindsight, they may act far differently than they did in the past, and anticipating their decisions is not always easy.

Nonetheless, there are striking similarities between modern markets and those of times long ago. Traders still pace the floor of the New York Stock Exchange. Communication systems have improved, but even so, it’s really not that much faster to place a trade by ECN than it was to place one by telephone 30 years ago–or even by telegraph 150 years ago. Sometimes, the revelations held in historical data are surprisingly relevant even in modern times.

more to come

twitter Historical Stock Price Data from Way Backdigg Historical Stock Price Data from Way Backreddit Historical Stock Price Data from Way Backemail Historical Stock Price Data from Way Back

Chart of the Day 2010/05/24: An Anomaly in IMF SDR/USD Exchange Rate Data

Inspired by the recent Dow in Gold chart that has been making its way around the blogosphere, today I intended to put out a chart of the S&P in SDRs. But after downloading the SDR per USD historical series directly from the IMF using their Exchange Rate Query Tool, I noticed a strange anomaly. It looked almost like two series were super-imposed on the graph. Examination of the raw data revealed extremely large short-term oscillations over a range of dates spanned by 1994 to 1997, some exceeding 15%. For historical purposes, I have pasted a snapshot of my browser window below. You can see the oscillations in the table:

snapshot1 Chart of the Day 2010/05/24: An Anomaly in IMF SDR/USD Exchange Rate Data

I haven’t found a good explanation for this bizarre reporting by the IMF, but they do offer a series of monthly spreadsheet downloads, formatted for legal paper (available from the form at the bottom of the linked page, not the query tool). The umm… “legal” series doesn’t seem to be affected by the anomaly, but my statistical software doesn’t like the formatting. So it will be a little while until I release a chart of the S&P in SDRs, but I’ll try to get it out soon.

Update 2010/05/25: I converted the “legal” series to CSV and prepared a chart of the S&P 500 in SDRs.

twitter Chart of the Day 2010/05/24: An Anomaly in IMF SDR/USD Exchange Rate Data digg Chart of the Day 2010/05/24: An Anomaly in IMF SDR/USD Exchange Rate Data reddit Chart of the Day 2010/05/24: An Anomaly in IMF SDR/USD Exchange Rate Data email Chart of the Day 2010/05/24: An Anomaly in IMF SDR/USD Exchange Rate Data

New Feature: Econ Calendar

Regular readers will notice a new feature, an economics data release calendar. This is an early beta release; it is spartan but functional.

twitter New Feature: Econ Calendardigg New Feature: Econ Calendarreddit New Feature: Econ Calendaremail New Feature: Econ Calendar

Chart of the Day 2010/05/21: Median CPI

A question that often gives rise to difficulties: How to gauge inflation?

The well-known and often-used CPI-U measure is not without its detractors. A particular problem with the CPI-U is that it is highly volatile. A short-term change in a heavily-weighted component, such as gasoline, can cause the index to fluctuate wildly.

One solution often employed for cutting through the volatility is to drop a subset of the most volatile components, particularly, food and energy prices. The resulting measure is called core CPI. Another solution is maintained by the Cleveland Fed: an index it calls median CPI. Rather than simply dropping a subset of the most volatile components from the index, they instead use a robust measure of central tendency, which they claim allows them to more accurately gauge inflation.

Care should be taken in any substitution of median CPI for other measures of inflation; while it appears to provide a more robust gauge of trends in inflation than some other measures, as a measure of the average change in the prices paid by the average consumer, it is biased. It instead reflects the change in the average price paid by the average consumer, a subtly different measure.

twitter Chart of the Day 2010/05/21: Median CPIdigg Chart of the Day 2010/05/21: Median CPIreddit Chart of the Day 2010/05/21: Median CPIemail Chart of the Day 2010/05/21: Median CPI

Chart of the Day 2010/05/20: Farm Credit

Today’s chart comes from the Kansas City Fed.

twitter Chart of the Day 2010/05/20: Farm Creditdigg Chart of the Day 2010/05/20: Farm Creditreddit Chart of the Day 2010/05/20: Farm Creditemail Chart of the Day 2010/05/20: Farm Credit
Partly powered by CleverPlugins.com