README.md
In fcocquemas/secmarketstructure: Retrieve the SEC market structure data
secmarketstructure
The secmarketstructure package allows to easily download the SEC Market Structure data and load it in R.
It is currently in an early beta version, but should work nonetheless. Comments and suggestions are however very welcome.
Installation
The secmarketstructure package is hosted on Github and the simplest way to install it is therefore to use the devtools package.
Install the devtools package if you do not have it yet:
install.packages("devtools")
Then load devtools and install secmarketstructure from Github.
library(devtools)
install_github("secmarketstructure", username = "fcocquemas")
That's it!
Basic use
First, you need to load the library:
library(secmarketstructure)
The basic command is sec.get(). Its first argument, by.type, takes a value
amongst "security", "exchange", "decile", "quartile", "condfreq", "hazard" or "survival". It defaults to "security". Here is a simple example:
dt <- sec.get()
head(dt); cat("---\n"); tail(dt)
This returns:
ticker date security mcap.rank turn.rank volatility.rank price.rank
1 A 20121001 Stock 10 9 5 9
2 AA 20121001 Stock 10 10 5 4
3 AACC 20121001 Stock 4 1 8 4
4 AAME 20121001 Stock 2 1 1 2
5 AAN 20121001 Stock 8 6 3 8
6 AAON 20121001 Stock 6 3 6 7
cancels trades lit.trades odd.lots hidden trades.for.hidden order.vol
1 349597 24030 21643 5260 2387 20417 71979258
2 495688 31763 29223 2938 2540 30267 301396722
3 12195 117 99 79 18 117 1476755
4 32 9 2 2 7 9 9703
5 71845 2857 2734 814 123 2129 12246413
6 14406 333 283 189 50 333 1718838
trade.vol lit.vol odd.lot.vol hidden.vol trade.vol.for.hidden
1 3040786 2698758 201108 342028 2266278
2 11753368 11062439 138622 690929 10127996
3 6361 5568 2061 793 6361
4 1000 300 100 700 1000
5 267562 255801 34248 11761 184213
6 21639 18657 5794 2982 21639
---
ticker date security mcap.rank turn.rank volatility.rank price.rank
867791 YMLI 20130628 ETF 2 3 1 1
867792 YMLP 20130628 ETF 3 3 2 1
867793 YXI 20130628 ETF 1 4 3 3
867794 YYY 20130628 ETF 1 4 3 1
867795 ZROZ 20130628 ETF 2 3 3 4
867796 ZSL 20130628 ETF 2 4 4 4
cancels trades lit.trades odd.lots hidden trades.for.hidden order.vol
867791 2420 30 26 1 4 30 3038458
867792 22201 78 66 5 12 78 172649613
867793 9211 16 16 10 0 16 6625467
867794 1074 17 17 1 0 16 833700
867795 34485 77 63 23 14 77 29444316
867796 426574 1620 1292 377 328 1472 174925407
trade.vol lit.vol odd.lot.vol hidden.vol trade.vol.for.hidden
867791 11488 9888 80 1600 11488
867792 101939 96039 178 5900 101939
867793 1027 1027 197 0 1027
867794 3294 3294 9 0 3094
867795 11378 8413 869 2965 11378
867796 241594 203150 13360 38444 220088
When by.type is "security", "condfreq", "hazard", "survival", you can set the argument year.quarter to restrict the quarters that are loaded. All quarters (three as of October 15th, 2013) will be loaded otherwise. Acceptable values for the parameter are of the form "2013.Q1" or c("2012.Q4", "2013.Q2"), for instance:
dt <- sec.get("condfreq", year.quarter = c("2013.Q1", "2013.Q2"))
head(dt); cat("---\n"); tail(dt)
This returns:
cancel trade cancel.sum trade.sum time type year quarter
1 0.3175481896 0.166385797 0.3175482 0.1663858 0 large_e1 2013 q1
2 0.0001135286 0.003827689 0.3176617 0.1702135 1 large_e1 2013 q1
3 0.0005227328 0.003511216 0.3181845 0.1737247 2 large_e1 2013 q1
4 0.0017495279 0.003625801 0.3199340 0.1773505 3 large_e1 2013 q1
5 0.0062576960 0.003947731 0.3261917 0.1812982 4 large_e1 2013 q1
6 0.0074998062 0.003972285 0.3336915 0.1852705 5 large_e1 2013 q1
---
cancel trade cancel.sum trade.sum time type year
298891 0.008409317 0.0000000000 99.94646 99.99906 23030 small_s9 2013
298892 0.009642164 0.0000000000 99.95610 99.99906 23040 small_s9 2013
298893 0.007955110 0.0000000000 99.96405 99.99906 23050 small_s9 2013
298894 0.009421549 0.0009382271 99.97347 100.00000 23060 small_s9 2013
298895 0.006644398 0.0000000000 99.98012 100.00000 23070 small_s9 2013
298896 0.007500903 0.0000000000 99.98762 100.00000 23080 small_s9 2013
quarter
298891 q2
298892 q2
298893 q2
298894 q2
298895 q2
298896 q2
Security
The "security" options returns the metrics by individual security. This is the default for sec.get().
dt <- sec.get()
head(dt); cat("---\n"); tail(dt)
For the results, see above.
Exchange
The "exchange" options returns the metrics by exchange.
dt <- sec.get("exchange")
This returns a list of 13 data.frames corresponding to the measures "ETP_Cancel_to_Trade", "ETP_Hidden_Rate", "ETP_Hidden_Volume", "ETP_Oddlot_Rate", "ETP_Oddlot_Volume", "ETP_Stock_Timeseries", "ETP_Trade_Volume", "Stock_Cancel_to_Trade", "Stock_Hidden_Rate", "Stock_Hidden_Volume", "Stock_Oddlot_Rate", "Stock_Oddlot_Volume", "Stock_Trade_Volume".
Decile
The "decile" option returns the stock market activity metrics by decile.
dt <- sec.get("decile")
head(dt, n=3); cat("---\n"); tail(dt, n=3)
This returns:
date market.cap.decile1 market.cap.decile2 market.cap.decile3
1 20121001 43.63022 21.86436 19.81577
2 20121002 24.08093 29.85542 21.04473
3 20121003 23.11467 20.63067 20.30188
market.cap.decile4 market.cap.decile5 market.cap.decile6 market.cap.decile7
1 21.42457 18.57635 20.76624 21.45042
2 24.79160 23.10690 25.34812 24.83781
3 21.06748 20.47450 20.43948 20.85782
market.cap.decile8 market.cap.decile9 market.cap.decile10 price.decile1
1 21.01014 20.51949 19.23601 10.91650
2 25.39216 23.32315 21.81936 11.52307
3 24.32544 21.90037 20.05301 11.95698
price.decile2 price.decile3 price.decile4 price.decile5 price.decile6
1 12.99371 12.82147 15.48712 15.77999 17.00550
2 14.05253 15.51663 18.62393 18.55298 20.65653
3 12.46198 13.58728 16.57791 16.69854 17.13018
price.decile7 price.decile8 price.decile9 price.decile10 turnover.decile1
1 18.33693 19.79525 21.88015 26.93025 124.3218
2 20.45950 23.25604 25.34556 30.12258 188.8048
3 20.01615 20.27971 23.34418 29.19066 153.3914
turnover.decile2 turnover.decile3 turnover.decile4 turnover.decile5
1 82.85601 35.39384 27.10750 25.32405
2 89.01944 49.49007 36.32343 34.03184
3 65.16057 52.88848 34.64390 27.57522
turnover.decile6 turnover.decile7 turnover.decile8 turnover.decile9
1 22.95303 22.60908 20.58547 18.86139
2 27.36349 26.71643 24.60849 22.13054
3 27.80185 25.04866 24.49010 20.04456
turnover.decile10 volatility.decile1 volatility.decile2 volatility.decile3
1 15.10640 20.75338 20.29986 20.80909
2 15.77787 26.31808 25.61471 25.04289
3 14.13167 23.90641 24.83132 23.47622
volatility.decile4 volatility.decile5 volatility.decile6 volatility.decile7
1 21.78730 21.19499 19.96307 19.29848
2 24.41227 22.69582 22.15454 22.88099
3 22.29211 19.62361 20.87520 21.81087
volatility.decile8 volatility.decile9 volatility.decile10
1 16.49905 17.34077 12.05308
2 20.62878 17.75779 10.49486
3 17.28010 13.86830 10.08756
type
1 Decile_Cancel_to_Trade_Stock
2 Decile_Cancel_to_Trade_Stock
3 Decile_Cancel_to_Trade_Stock
---
date market.cap.decile1 market.cap.decile2 market.cap.decile3
1114 20130626 8.493686 6.698045 5.649647
1115 20130627 5.664361 6.806482 5.534389
1116 20130628 5.103297 4.841017 5.965322
market.cap.decile4 market.cap.decile5 market.cap.decile6
1114 4.477081 3.941719 3.411711
1115 5.294283 3.875502 3.577837
1116 5.146514 4.212699 3.845129
market.cap.decile7 market.cap.decile8 market.cap.decile9
1114 3.051215 3.120888 2.530176
1115 3.285525 2.926735 2.723005
1116 3.567325 2.847791 2.599569
market.cap.decile10 price.decile1 price.decile2 price.decile3
1114 3.129355 6.056330 5.326767 5.145815
1115 3.243904 6.745275 5.111943 4.684839
1116 3.135467 6.467111 5.068785 4.991146
price.decile4 price.decile5 price.decile6 price.decile7 price.decile8
1114 4.026795 4.080810 3.224597 3.545967 2.707312
1115 4.119582 4.269778 3.711907 3.915644 2.770188
1116 4.142036 3.791359 3.373367 3.857866 2.757875
price.decile9 price.decile10 turnover.decile1 turnover.decile2
1114 2.366170 1.991935 0.3989605 1.523860
1115 2.390516 2.007332 0.6753882 1.499085
1116 2.391419 2.015577 0.3360736 2.355814
turnover.decile3 turnover.decile4 turnover.decile5 turnover.decile6
1114 2.021097 2.299718 2.340916 2.494526
1115 1.845370 2.649350 2.272686 2.494483
1116 2.339826 2.511259 2.866010 2.571826
turnover.decile7 turnover.decile8 turnover.decile9 turnover.decile10
1114 2.555433 2.969357 3.480296 4.201612
1115 2.599348 3.320731 3.390814 4.616222
1116 2.971767 3.607445 3.941593 5.174364
volatility.decile1 volatility.decile2 volatility.decile3
1114 2.729897 2.566546 2.844122
1115 2.732253 2.687277 3.076177
1116 2.776373 2.828893 2.520710
volatility.decile4 volatility.decile5 volatility.decile6
1114 2.937502 3.164703 3.117679
1115 2.799248 3.389358 3.338600
1116 3.174840 2.966378 3.335558
volatility.decile7 volatility.decile8 volatility.decile9
1114 3.383663 3.933291 5.015487
1115 3.730323 3.730321 4.641018
1116 3.443827 4.157449 4.754544
volatility.decile10 type
1114 6.446297 Decile_Trade_Volume_Stock
1115 6.797712 Decile_Trade_Volume_Stock
1116 6.006835 Decile_Trade_Volume_Stock
Quartile
The "quartile" option returns the ETP market activity metrics by quartile.
dt <- sec.get("quartile")
head(dt, n=3); cat("---\n"); tail(dt, n=3)
This returns:
date market.cap.quartile1 market.cap.quartile2 market.cap.quartile3
1 20121001 1480.0270 826.9706 283.2449
2 20121002 1898.5021 877.0172 306.2567
3 20121003 927.9713 772.3199 238.7192
market.cap.quartile4 price.quartile1 price.quartile2 price.quartile3
1 64.71120 101.88280 145.3225 87.94697
2 80.40060 118.24553 146.7887 108.82332
3 71.19429 86.45947 129.2504 96.04267
price.quartile4 turnover.quartile1 turnover.quartile2 turnover.quartile3
1 82.67684 1488.827 427.9933 126.2386
2 101.64901 2259.203 530.9803 163.9071
3 90.87780 2625.672 470.0155 152.6164
turnover.quartile4 volatility.quartile1 volatility.quartile2
1 76.60054 54.70915 61.56911
2 90.06234 66.99389 70.12861
3 77.65417 76.61781 74.86795
volatility.quartile3 volatility.quartile4 type
1 73.79360 144.1286 Quartile_Cancel_to_Trade_ETP
2 104.00320 147.3963 Quartile_Cancel_to_Trade_ETP
3 79.53663 135.2842 Quartile_Cancel_to_Trade_ETP
---
date market.cap.quartile1 market.cap.quartile2 market.cap.quartile3
1114 20130626 0.03282002 0.02879581 0.1224610
1115 20130627 0.03758774 0.03024957 0.1108266
1116 20130628 0.02820979 0.03128036 0.1358462
market.cap.quartile4 price.quartile1 price.quartile2 price.quartile3
1114 0.3496215 0.3320652 0.1299123 0.2920013
1115 0.3363824 0.2433544 0.1606037 0.2829858
1116 0.3225184 0.2525735 0.1666033 0.2389902
price.quartile4 turnover.quartile1 turnover.quartile2 turnover.quartile3
1114 0.3890146 0.010052146 0.04749936 0.06728148
1115 0.4033349 0.010933678 0.04105564 0.05946769
1116 0.4118028 0.004001159 0.05509796 0.05412292
turnover.quartile4 volatility.quartile1 volatility.quartile2
1114 0.5347178 0.06168494 0.2593793
1115 0.5827774 0.08325276 0.2762830
1116 0.4866619 0.07840489 0.2399944
volatility.quartile3 volatility.quartile4 type
1114 0.2937021 0.6383177 Quartile_Trade_Volume_ETP
1115 0.1896724 0.6680029 Quartile_Trade_Volume_ETP
1116 0.2025420 0.7103712 Quartile_Trade_Volume_ETP
Condfreq
The "condfreq" option returns the conditional cancel and trade duration distributions for nine fixed time scales.
dt <- sec.get("condfreq")
head(dt); cat("---\n"); tail(dt)
This returns:
cancel trade cancel.sum trade.sum time type year quarter
1 0.340570849 0.173315082 0.3405708 0.1733151 0 large_e1 2012 q4
2 0.001021596 0.003339928 0.3415924 0.1766550 1 large_e1 2012 q4
3 0.011059315 0.004773556 0.3526518 0.1814286 2 large_e1 2012 q4
4 0.016097504 0.006164821 0.3687493 0.1875934 3 large_e1 2012 q4
5 0.012416354 0.006586214 0.3811656 0.1941796 4 large_e1 2012 q4
6 0.010761291 0.006860454 0.3919269 0.2010401 5 large_e1 2012 q4
---
cancel trade cancel.sum trade.sum time type year
448339 0.008409317 0.0000000000 99.94646 99.99906 23030 small_s9 2013
448340 0.009642164 0.0000000000 99.95610 99.99906 23040 small_s9 2013
448341 0.007955110 0.0000000000 99.96405 99.99906 23050 small_s9 2013
448342 0.009421549 0.0009382271 99.97347 100.00000 23060 small_s9 2013
448343 0.006644398 0.0000000000 99.98012 100.00000 23070 small_s9 2013
448344 0.007500903 0.0000000000 99.98762 100.00000 23080 small_s9 2013
quarter
448339 q2
448340 q2
448341 q2
448342 q2
448343 q2
448344 q2
Hazard
The "hazard" option returns the hazard function for the conditional cancel and trade distribution.
dt <- sec.get("hazard")
head(dt); cat("---\n"); tail(dt)
This returns:
time_ms hazard type year quarter
1 1 10.36347 large_e_cancelhaz1 2012 q4
2 2 112.10309 large_e_cancelhaz1 2012 q4
3 3 162.35345 large_e_cancelhaz1 2012 q4
4 4 125.30840 large_e_cancelhaz1 2012 q4
5 5 108.88927 large_e_cancelhaz1 2012 q4
6 6 94.05550 large_e_cancelhaz1 2012 q4
---
time_ms hazard type year quarter
197949 9988 0.07480789 small_s_tradehaz2 2013 q2
197950 9990 0.07480823 small_s_tradehaz2 2013 q2
197951 9992 0.00000000 small_s_tradehaz2 2013 q2
197952 9994 0.07480893 small_s_tradehaz2 2013 q2
197953 9996 0.00000000 small_s_tradehaz2 2013 q2
197954 9998 0.00000000 small_s_tradehaz2 2013 q2
Survival
The "survival" option returns the survival and cumulative distribution functions for the conditional cancel and trade distribution.
dt <- sec.get("survival")
head(dt); cat("---\n"); tail(dt)
This returns:
bin survivor cdf xaxis type year quarter
1 1 NA NA 1.666667e-08 large_e_cancelsurv 2012 q4
2 2 0.9998775 0.0001224591 3.333333e-08 large_e_cancelsurv 2012 q4
3 3 0.9997152 0.0002847795 5.000000e-08 large_e_cancelsurv 2012 q4
4 4 0.9995900 0.0004100443 6.666667e-08 large_e_cancelsurv 2012 q4
5 5 0.9994811 0.0005188830 8.333333e-08 large_e_cancelsurv 2012 q4
6 6 0.9993871 0.0006128853 1.000000e-07 large_e_cancelsurv 2012 q4
---
bin survivor cdf xaxis type year quarter
791985 1750000000 0.9558198 0.04418020 29.16667 small_s_tradesurv 2013 q2
791986 1760000000 0.9557547 0.04424532 29.33333 small_s_tradesurv 2013 q2
791987 1770000000 0.9556887 0.04431130 29.50000 small_s_tradesurv 2013 q2
791988 1780000000 0.9556292 0.04437077 29.66667 small_s_tradesurv 2013 q2
791989 1790000000 0.9555696 0.04443036 29.83333 small_s_tradesurv 2013 q2
791990 1800000000 0.9555234 0.04447665 30.00000 small_s_tradesurv 2013 q2
License
This library is distributed along the terms of the MIT license.
fcocquemas/secmarketstructure documentation built on May 16, 2019, 12:08 p.m.
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secmarketstructure
The secmarketstructure package allows to easily download the SEC Market Structure data and load it in R.
It is currently in an early beta version, but should work nonetheless. Comments and suggestions are however very welcome.
Installation
The secmarketstructure package is hosted on Github and the simplest way to install it is therefore to use the devtools package.
Install the devtools package if you do not have it yet:
install.packages("devtools")
Then load devtools and install secmarketstructure from Github.
library(devtools)
install_github("secmarketstructure", username = "fcocquemas")
That's it!
Basic use
First, you need to load the library:
library(secmarketstructure)
The basic command is sec.get(). Its first argument, by.type, takes a value
amongst "security", "exchange", "decile", "quartile", "condfreq", "hazard" or "survival". It defaults to "security". Here is a simple example:
dt <- sec.get()
head(dt); cat("---\n"); tail(dt)
This returns:
ticker date security mcap.rank turn.rank volatility.rank price.rank
1 A 20121001 Stock 10 9 5 9
2 AA 20121001 Stock 10 10 5 4
3 AACC 20121001 Stock 4 1 8 4
4 AAME 20121001 Stock 2 1 1 2
5 AAN 20121001 Stock 8 6 3 8
6 AAON 20121001 Stock 6 3 6 7
cancels trades lit.trades odd.lots hidden trades.for.hidden order.vol
1 349597 24030 21643 5260 2387 20417 71979258
2 495688 31763 29223 2938 2540 30267 301396722
3 12195 117 99 79 18 117 1476755
4 32 9 2 2 7 9 9703
5 71845 2857 2734 814 123 2129 12246413
6 14406 333 283 189 50 333 1718838
trade.vol lit.vol odd.lot.vol hidden.vol trade.vol.for.hidden
1 3040786 2698758 201108 342028 2266278
2 11753368 11062439 138622 690929 10127996
3 6361 5568 2061 793 6361
4 1000 300 100 700 1000
5 267562 255801 34248 11761 184213
6 21639 18657 5794 2982 21639
---
ticker date security mcap.rank turn.rank volatility.rank price.rank
867791 YMLI 20130628 ETF 2 3 1 1
867792 YMLP 20130628 ETF 3 3 2 1
867793 YXI 20130628 ETF 1 4 3 3
867794 YYY 20130628 ETF 1 4 3 1
867795 ZROZ 20130628 ETF 2 3 3 4
867796 ZSL 20130628 ETF 2 4 4 4
cancels trades lit.trades odd.lots hidden trades.for.hidden order.vol
867791 2420 30 26 1 4 30 3038458
867792 22201 78 66 5 12 78 172649613
867793 9211 16 16 10 0 16 6625467
867794 1074 17 17 1 0 16 833700
867795 34485 77 63 23 14 77 29444316
867796 426574 1620 1292 377 328 1472 174925407
trade.vol lit.vol odd.lot.vol hidden.vol trade.vol.for.hidden
867791 11488 9888 80 1600 11488
867792 101939 96039 178 5900 101939
867793 1027 1027 197 0 1027
867794 3294 3294 9 0 3094
867795 11378 8413 869 2965 11378
867796 241594 203150 13360 38444 220088
When by.type is "security", "condfreq", "hazard", "survival", you can set the argument year.quarter to restrict the quarters that are loaded. All quarters (three as of October 15th, 2013) will be loaded otherwise. Acceptable values for the parameter are of the form "2013.Q1" or c("2012.Q4", "2013.Q2"), for instance:
dt <- sec.get("condfreq", year.quarter = c("2013.Q1", "2013.Q2"))
head(dt); cat("---\n"); tail(dt)
This returns:
cancel trade cancel.sum trade.sum time type year quarter
1 0.3175481896 0.166385797 0.3175482 0.1663858 0 large_e1 2013 q1
2 0.0001135286 0.003827689 0.3176617 0.1702135 1 large_e1 2013 q1
3 0.0005227328 0.003511216 0.3181845 0.1737247 2 large_e1 2013 q1
4 0.0017495279 0.003625801 0.3199340 0.1773505 3 large_e1 2013 q1
5 0.0062576960 0.003947731 0.3261917 0.1812982 4 large_e1 2013 q1
6 0.0074998062 0.003972285 0.3336915 0.1852705 5 large_e1 2013 q1
---
cancel trade cancel.sum trade.sum time type year
298891 0.008409317 0.0000000000 99.94646 99.99906 23030 small_s9 2013
298892 0.009642164 0.0000000000 99.95610 99.99906 23040 small_s9 2013
298893 0.007955110 0.0000000000 99.96405 99.99906 23050 small_s9 2013
298894 0.009421549 0.0009382271 99.97347 100.00000 23060 small_s9 2013
298895 0.006644398 0.0000000000 99.98012 100.00000 23070 small_s9 2013
298896 0.007500903 0.0000000000 99.98762 100.00000 23080 small_s9 2013
quarter
298891 q2
298892 q2
298893 q2
298894 q2
298895 q2
298896 q2
Security
The "security" options returns the metrics by individual security. This is the default for sec.get().
dt <- sec.get()
head(dt); cat("---\n"); tail(dt)
For the results, see above.
Exchange
The "exchange" options returns the metrics by exchange.
dt <- sec.get("exchange")
This returns a list of 13 data.frames corresponding to the measures "ETP_Cancel_to_Trade", "ETP_Hidden_Rate", "ETP_Hidden_Volume", "ETP_Oddlot_Rate", "ETP_Oddlot_Volume", "ETP_Stock_Timeseries", "ETP_Trade_Volume", "Stock_Cancel_to_Trade", "Stock_Hidden_Rate", "Stock_Hidden_Volume", "Stock_Oddlot_Rate", "Stock_Oddlot_Volume", "Stock_Trade_Volume".
Decile
The "decile" option returns the stock market activity metrics by decile.
dt <- sec.get("decile")
head(dt, n=3); cat("---\n"); tail(dt, n=3)
This returns:
date market.cap.decile1 market.cap.decile2 market.cap.decile3
1 20121001 43.63022 21.86436 19.81577
2 20121002 24.08093 29.85542 21.04473
3 20121003 23.11467 20.63067 20.30188
market.cap.decile4 market.cap.decile5 market.cap.decile6 market.cap.decile7
1 21.42457 18.57635 20.76624 21.45042
2 24.79160 23.10690 25.34812 24.83781
3 21.06748 20.47450 20.43948 20.85782
market.cap.decile8 market.cap.decile9 market.cap.decile10 price.decile1
1 21.01014 20.51949 19.23601 10.91650
2 25.39216 23.32315 21.81936 11.52307
3 24.32544 21.90037 20.05301 11.95698
price.decile2 price.decile3 price.decile4 price.decile5 price.decile6
1 12.99371 12.82147 15.48712 15.77999 17.00550
2 14.05253 15.51663 18.62393 18.55298 20.65653
3 12.46198 13.58728 16.57791 16.69854 17.13018
price.decile7 price.decile8 price.decile9 price.decile10 turnover.decile1
1 18.33693 19.79525 21.88015 26.93025 124.3218
2 20.45950 23.25604 25.34556 30.12258 188.8048
3 20.01615 20.27971 23.34418 29.19066 153.3914
turnover.decile2 turnover.decile3 turnover.decile4 turnover.decile5
1 82.85601 35.39384 27.10750 25.32405
2 89.01944 49.49007 36.32343 34.03184
3 65.16057 52.88848 34.64390 27.57522
turnover.decile6 turnover.decile7 turnover.decile8 turnover.decile9
1 22.95303 22.60908 20.58547 18.86139
2 27.36349 26.71643 24.60849 22.13054
3 27.80185 25.04866 24.49010 20.04456
turnover.decile10 volatility.decile1 volatility.decile2 volatility.decile3
1 15.10640 20.75338 20.29986 20.80909
2 15.77787 26.31808 25.61471 25.04289
3 14.13167 23.90641 24.83132 23.47622
volatility.decile4 volatility.decile5 volatility.decile6 volatility.decile7
1 21.78730 21.19499 19.96307 19.29848
2 24.41227 22.69582 22.15454 22.88099
3 22.29211 19.62361 20.87520 21.81087
volatility.decile8 volatility.decile9 volatility.decile10
1 16.49905 17.34077 12.05308
2 20.62878 17.75779 10.49486
3 17.28010 13.86830 10.08756
type
1 Decile_Cancel_to_Trade_Stock
2 Decile_Cancel_to_Trade_Stock
3 Decile_Cancel_to_Trade_Stock
---
date market.cap.decile1 market.cap.decile2 market.cap.decile3
1114 20130626 8.493686 6.698045 5.649647
1115 20130627 5.664361 6.806482 5.534389
1116 20130628 5.103297 4.841017 5.965322
market.cap.decile4 market.cap.decile5 market.cap.decile6
1114 4.477081 3.941719 3.411711
1115 5.294283 3.875502 3.577837
1116 5.146514 4.212699 3.845129
market.cap.decile7 market.cap.decile8 market.cap.decile9
1114 3.051215 3.120888 2.530176
1115 3.285525 2.926735 2.723005
1116 3.567325 2.847791 2.599569
market.cap.decile10 price.decile1 price.decile2 price.decile3
1114 3.129355 6.056330 5.326767 5.145815
1115 3.243904 6.745275 5.111943 4.684839
1116 3.135467 6.467111 5.068785 4.991146
price.decile4 price.decile5 price.decile6 price.decile7 price.decile8
1114 4.026795 4.080810 3.224597 3.545967 2.707312
1115 4.119582 4.269778 3.711907 3.915644 2.770188
1116 4.142036 3.791359 3.373367 3.857866 2.757875
price.decile9 price.decile10 turnover.decile1 turnover.decile2
1114 2.366170 1.991935 0.3989605 1.523860
1115 2.390516 2.007332 0.6753882 1.499085
1116 2.391419 2.015577 0.3360736 2.355814
turnover.decile3 turnover.decile4 turnover.decile5 turnover.decile6
1114 2.021097 2.299718 2.340916 2.494526
1115 1.845370 2.649350 2.272686 2.494483
1116 2.339826 2.511259 2.866010 2.571826
turnover.decile7 turnover.decile8 turnover.decile9 turnover.decile10
1114 2.555433 2.969357 3.480296 4.201612
1115 2.599348 3.320731 3.390814 4.616222
1116 2.971767 3.607445 3.941593 5.174364
volatility.decile1 volatility.decile2 volatility.decile3
1114 2.729897 2.566546 2.844122
1115 2.732253 2.687277 3.076177
1116 2.776373 2.828893 2.520710
volatility.decile4 volatility.decile5 volatility.decile6
1114 2.937502 3.164703 3.117679
1115 2.799248 3.389358 3.338600
1116 3.174840 2.966378 3.335558
volatility.decile7 volatility.decile8 volatility.decile9
1114 3.383663 3.933291 5.015487
1115 3.730323 3.730321 4.641018
1116 3.443827 4.157449 4.754544
volatility.decile10 type
1114 6.446297 Decile_Trade_Volume_Stock
1115 6.797712 Decile_Trade_Volume_Stock
1116 6.006835 Decile_Trade_Volume_Stock
Quartile
The "quartile" option returns the ETP market activity metrics by quartile.
dt <- sec.get("quartile")
head(dt, n=3); cat("---\n"); tail(dt, n=3)
This returns:
date market.cap.quartile1 market.cap.quartile2 market.cap.quartile3
1 20121001 1480.0270 826.9706 283.2449
2 20121002 1898.5021 877.0172 306.2567
3 20121003 927.9713 772.3199 238.7192
market.cap.quartile4 price.quartile1 price.quartile2 price.quartile3
1 64.71120 101.88280 145.3225 87.94697
2 80.40060 118.24553 146.7887 108.82332
3 71.19429 86.45947 129.2504 96.04267
price.quartile4 turnover.quartile1 turnover.quartile2 turnover.quartile3
1 82.67684 1488.827 427.9933 126.2386
2 101.64901 2259.203 530.9803 163.9071
3 90.87780 2625.672 470.0155 152.6164
turnover.quartile4 volatility.quartile1 volatility.quartile2
1 76.60054 54.70915 61.56911
2 90.06234 66.99389 70.12861
3 77.65417 76.61781 74.86795
volatility.quartile3 volatility.quartile4 type
1 73.79360 144.1286 Quartile_Cancel_to_Trade_ETP
2 104.00320 147.3963 Quartile_Cancel_to_Trade_ETP
3 79.53663 135.2842 Quartile_Cancel_to_Trade_ETP
---
date market.cap.quartile1 market.cap.quartile2 market.cap.quartile3
1114 20130626 0.03282002 0.02879581 0.1224610
1115 20130627 0.03758774 0.03024957 0.1108266
1116 20130628 0.02820979 0.03128036 0.1358462
market.cap.quartile4 price.quartile1 price.quartile2 price.quartile3
1114 0.3496215 0.3320652 0.1299123 0.2920013
1115 0.3363824 0.2433544 0.1606037 0.2829858
1116 0.3225184 0.2525735 0.1666033 0.2389902
price.quartile4 turnover.quartile1 turnover.quartile2 turnover.quartile3
1114 0.3890146 0.010052146 0.04749936 0.06728148
1115 0.4033349 0.010933678 0.04105564 0.05946769
1116 0.4118028 0.004001159 0.05509796 0.05412292
turnover.quartile4 volatility.quartile1 volatility.quartile2
1114 0.5347178 0.06168494 0.2593793
1115 0.5827774 0.08325276 0.2762830
1116 0.4866619 0.07840489 0.2399944
volatility.quartile3 volatility.quartile4 type
1114 0.2937021 0.6383177 Quartile_Trade_Volume_ETP
1115 0.1896724 0.6680029 Quartile_Trade_Volume_ETP
1116 0.2025420 0.7103712 Quartile_Trade_Volume_ETP
Condfreq
The "condfreq" option returns the conditional cancel and trade duration distributions for nine fixed time scales.
dt <- sec.get("condfreq")
head(dt); cat("---\n"); tail(dt)
This returns:
cancel trade cancel.sum trade.sum time type year quarter
1 0.340570849 0.173315082 0.3405708 0.1733151 0 large_e1 2012 q4
2 0.001021596 0.003339928 0.3415924 0.1766550 1 large_e1 2012 q4
3 0.011059315 0.004773556 0.3526518 0.1814286 2 large_e1 2012 q4
4 0.016097504 0.006164821 0.3687493 0.1875934 3 large_e1 2012 q4
5 0.012416354 0.006586214 0.3811656 0.1941796 4 large_e1 2012 q4
6 0.010761291 0.006860454 0.3919269 0.2010401 5 large_e1 2012 q4
---
cancel trade cancel.sum trade.sum time type year
448339 0.008409317 0.0000000000 99.94646 99.99906 23030 small_s9 2013
448340 0.009642164 0.0000000000 99.95610 99.99906 23040 small_s9 2013
448341 0.007955110 0.0000000000 99.96405 99.99906 23050 small_s9 2013
448342 0.009421549 0.0009382271 99.97347 100.00000 23060 small_s9 2013
448343 0.006644398 0.0000000000 99.98012 100.00000 23070 small_s9 2013
448344 0.007500903 0.0000000000 99.98762 100.00000 23080 small_s9 2013
quarter
448339 q2
448340 q2
448341 q2
448342 q2
448343 q2
448344 q2
Hazard
The "hazard" option returns the hazard function for the conditional cancel and trade distribution.
dt <- sec.get("hazard")
head(dt); cat("---\n"); tail(dt)
This returns:
time_ms hazard type year quarter
1 1 10.36347 large_e_cancelhaz1 2012 q4
2 2 112.10309 large_e_cancelhaz1 2012 q4
3 3 162.35345 large_e_cancelhaz1 2012 q4
4 4 125.30840 large_e_cancelhaz1 2012 q4
5 5 108.88927 large_e_cancelhaz1 2012 q4
6 6 94.05550 large_e_cancelhaz1 2012 q4
---
time_ms hazard type year quarter
197949 9988 0.07480789 small_s_tradehaz2 2013 q2
197950 9990 0.07480823 small_s_tradehaz2 2013 q2
197951 9992 0.00000000 small_s_tradehaz2 2013 q2
197952 9994 0.07480893 small_s_tradehaz2 2013 q2
197953 9996 0.00000000 small_s_tradehaz2 2013 q2
197954 9998 0.00000000 small_s_tradehaz2 2013 q2
Survival
The "survival" option returns the survival and cumulative distribution functions for the conditional cancel and trade distribution.
dt <- sec.get("survival")
head(dt); cat("---\n"); tail(dt)
This returns:
bin survivor cdf xaxis type year quarter
1 1 NA NA 1.666667e-08 large_e_cancelsurv 2012 q4
2 2 0.9998775 0.0001224591 3.333333e-08 large_e_cancelsurv 2012 q4
3 3 0.9997152 0.0002847795 5.000000e-08 large_e_cancelsurv 2012 q4
4 4 0.9995900 0.0004100443 6.666667e-08 large_e_cancelsurv 2012 q4
5 5 0.9994811 0.0005188830 8.333333e-08 large_e_cancelsurv 2012 q4
6 6 0.9993871 0.0006128853 1.000000e-07 large_e_cancelsurv 2012 q4
---
bin survivor cdf xaxis type year quarter
791985 1750000000 0.9558198 0.04418020 29.16667 small_s_tradesurv 2013 q2
791986 1760000000 0.9557547 0.04424532 29.33333 small_s_tradesurv 2013 q2
791987 1770000000 0.9556887 0.04431130 29.50000 small_s_tradesurv 2013 q2
791988 1780000000 0.9556292 0.04437077 29.66667 small_s_tradesurv 2013 q2
791989 1790000000 0.9555696 0.04443036 29.83333 small_s_tradesurv 2013 q2
791990 1800000000 0.9555234 0.04447665 30.00000 small_s_tradesurv 2013 q2
License
This library is distributed along the terms of the MIT license.
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