5 ms·

Federal Reserve Bank API

78 points by powertower 15y ago

aheilbut 15y ago
I'm looking forward to the next version when they release the API to access the discount window.
- gavanwoolery 15y ago
  Hello $money.
OstiaAntica 15y ago
The missing documentation: /savers/delete -- suppress interest rates to ruin savings (aliases: /banks/addcash, /stocks/pumpup ) /banks/bailout -- returns the "banker bonus" object /fed/audit -- 404
- deleted 15y ago
  [deleted]
- nhaehnle 15y ago
  Why so much hate? Better access to data is generally a good thing. You could use it to build a proper argument on a political level, instead of resorting to this kind of snarkiness.
  - mkramlich 15y ago
    i detected no hate. only humor. and a bit of sting that usually comes from a kernal of truth.
    - jessedhillon 15y ago
      Agreed. Sometimes on HN we get a blog post announcing a new library, or cool hack, or something like that. When that happens, I usually crawl the author's about page and online presence. I'm looking for embarrassing details that are unrelated to the post being discussed. Then, I usually leave a comment on HN to the effect of "man, this guy's fat and probably has never been touched by a woman." No hate, only humor. It might sting but it's probably true also. Who cares if it's an irrelevant non-contribution?
  - Test5544 15y ago
    >> Better access to data is generally a good thing. Yeah, like the IBM computers in Nazi Germany.
- gavanwoolery 15y ago
  I laughed ;)
muzz 15y ago
More specifically this is an API to FRED (Federal Reserve Economic Data). Many (most?) of the graphs you seen on econ blogs/columns/news articles, even popular ones, are generated using FRED.
RockyMcNuts 15y ago
rocks - in R, just library(quantmod) getSymbols("CPIAUCNS", src="FRED") then you can get nice graphs with something like library(ggplot2) CPIPCT = data.frame(CPIAUCNS / lag(CPIAUCNS,12) * 100 -100) CPIPCT$date= as.Date(rownames(CPIPCT)) CPIPCT <- tail(CPIPCT, 240) CPI.m <- melt(CPIPCT, id = 'date') ggplot(data=CPI.m, aes(x=date, y=value, colour=variable)) + ylab("YoY % Change") + theme_bw() + scale_x_date("") + geom_line(size=1.4) + opts(plot.background = theme_rect(colour = 'black', fill = '#CCCCEE', size = 1, linetype='solid'), legend.position="top") + scale_colour_manual("CPI", breaks=c("CPIAUCNS"), values = c("#0000CC"), labels=c('All Urban')) or just get the graphs online with Fred Graph - http://research.stlouisfed.org/fred2/graph/ http://research.stlouisfed.org/fred2/graph/
- 01PH 15y ago
  Do you have any recommendations for accessible R tutorials? I would love to get into this a little bit more. R seems quite effective for these kinds of things.
  - RockyMcNuts 15y ago
    These are a few in my bookmarks: Quick-R http://www.statmethods.net/index.html http://www.statmethods.net/index.html R for Programmers http://en.wikibooks.org/wiki/R_Programming http://en.wikibooks.org/wiki/R_Programming SurviveR http://www.win-vector.com/blog/2009/09/survive-r/ http://www.win-vector.com/blog/2009/09/survive-r/ Official intro http://cran.r-project.org/doc/manuals/R-intro.html http://cran.r-project.org/doc/manuals/R-intro.html Might depend on your definition of accessible LOL Stack Overflow also very helpful - http://stackoverflow.com/questions/tagged/r http://stackoverflow.com/questions/tagged/r Rseek http://www.rseek.org/ http://www.rseek.org/ R-Help http://r.789695.n4.nabble.com/R-help-f789696.html http://r.789695.n4.nabble.com/R-help-f789696.html
    - RockyMcNuts 15y ago
      meant to post this one - R for Programmers - http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf
vidar 15y ago
At datamarket.com we have put all of this data into our system, see http://datamarket.com/data/list/?q=provider:225 http://datamarket.com/data/list/?q=provider:225 which makes visualisation a snap.
nivertech 15y ago
Where is documentation for withdraw method? GET /withdraw/{amount}/{currency}
- sehugg 15y ago
  Try logging in with Bank of America's credentials. Also use a lot of headers so that your HTTP request is too big to fail.
iamelgringo 15y ago
This is a gold mine
adrianwaj 15y ago
Alex Jones mentions New York, then Kansas as the two biggest Fed posts: http://www.youtube.com/watch?v=t1Tn61Y0Cfw&feature=player_detailpage#t=28s http://www.youtube.com/watch?v=t1Tn61Y0Cfw&feature=playe...

78 points by powertower 15y ago

aheilbut 15y ago

I'm looking forward to the next version when they release the API to access the discount window.

gavanwoolery 15y ago
Hello $money.

OstiaAntica 15y ago

The missing documentation: /savers/delete -- suppress interest rates to ruin savings (aliases: /banks/addcash, /stocks/pumpup ) /banks/bailout -- returns the "banker bonus" object /fed/audit -- 404

deleted 15y ago
[deleted]
nhaehnle 15y ago
Why so much hate? Better access to data is generally a good thing. You could use it to build a proper argument on a political level, instead of resorting to this kind of snarkiness.
- mkramlich 15y ago
  i detected no hate. only humor. and a bit of sting that usually comes from a kernal of truth.
  - jessedhillon 15y ago
    Agreed. Sometimes on HN we get a blog post announcing a new library, or cool hack, or something like that. When that happens, I usually crawl the author's about page and online presence. I'm looking for embarrassing details that are unrelated to the post being discussed. Then, I usually leave a comment on HN to the effect of "man, this guy's fat and probably has never been touched by a woman." No hate, only humor. It might sting but it's probably true also. Who cares if it's an irrelevant non-contribution?
- Test5544 15y ago
  >> Better access to data is generally a good thing. Yeah, like the IBM computers in Nazi Germany.
gavanwoolery 15y ago
I laughed ;)

muzz 15y ago

More specifically this is an API to FRED (Federal Reserve Economic Data). Many (most?) of the graphs you seen on econ blogs/columns/news articles, even popular ones, are generated using FRED.

RockyMcNuts 15y ago

rocks - in R, just library(quantmod) getSymbols("CPIAUCNS", src="FRED") then you can get nice graphs with something like library(ggplot2) CPIPCT = data.frame(CPIAUCNS / lag(CPIAUCNS,12) * 100 -100) CPIPCT$date= as.Date(rownames(CPIPCT)) CPIPCT <- tail(CPIPCT, 240) CPI.m <- melt(CPIPCT, id = 'date') ggplot(data=CPI.m, aes(x=date, y=value, colour=variable)) + ylab("YoY % Change") + theme_bw() + scale_x_date("") + geom_line(size=1.4) + opts(plot.background = theme_rect(colour = 'black', fill = '#CCCCEE', size = 1, linetype='solid'), legend.position="top") + scale_colour_manual("CPI", breaks=c("CPIAUCNS"), values = c("#0000CC"), labels=c('All Urban')) or just get the graphs online with Fred Graph - http://research.stlouisfed.org/fred2/graph/ http://research.stlouisfed.org/fred2/graph/

01PH 15y ago
Do you have any recommendations for accessible R tutorials? I would love to get into this a little bit more. R seems quite effective for these kinds of things.
- RockyMcNuts 15y ago
  These are a few in my bookmarks: Quick-R http://www.statmethods.net/index.html http://www.statmethods.net/index.html R for Programmers http://en.wikibooks.org/wiki/R_Programming http://en.wikibooks.org/wiki/R_Programming SurviveR http://www.win-vector.com/blog/2009/09/survive-r/ http://www.win-vector.com/blog/2009/09/survive-r/ Official intro http://cran.r-project.org/doc/manuals/R-intro.html http://cran.r-project.org/doc/manuals/R-intro.html Might depend on your definition of accessible LOL Stack Overflow also very helpful - http://stackoverflow.com/questions/tagged/r http://stackoverflow.com/questions/tagged/r Rseek http://www.rseek.org/ http://www.rseek.org/ R-Help http://r.789695.n4.nabble.com/R-help-f789696.html http://r.789695.n4.nabble.com/R-help-f789696.html
  - RockyMcNuts 15y ago
    meant to post this one - R for Programmers - http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf http://heather.cs.ucdavis.edu/~matloff/R/RProg.pdf

vidar 15y ago

At datamarket.com we have put all of this data into our system, see http://datamarket.com/data/list/?q=provider:225 http://datamarket.com/data/list/?q=provider:225 which makes visualisation a snap.

nivertech 15y ago

Where is documentation for withdraw method? GET /withdraw/{amount}/{currency}

sehugg 15y ago
Try logging in with Bank of America's credentials. Also use a lot of headers so that your HTTP request is too big to fail.

iamelgringo 15y ago

This is a gold mine

adrianwaj 15y ago

Alex Jones mentions New York, then Kansas as the two biggest Fed posts: http://www.youtube.com/watch?v=t1Tn61Y0Cfw&feature=player_detailpage#t=28s http://www.youtube.com/watch?v=t1Tn61Y0Cfw&feature=playe...