# Example of Stock statistic daily return moves

These are typical charts you would be able to find in my daily trading analysis over at Quant Analytics

https://quantlabs.net/analytics/order-analytics/

Similar Python script can be found in this course

https://quantlabs.net/analytics/overview-python-infrastructure-building-blocks/

# Brownian Motion example works from sde R package

Brownian Motion example works from sde R package

To do Brownian motion, I have confirmed the examples of BM() works from the sde R package:

plot(BM())
plot(BBridge())
plot(GBM())

http://cran.r-project.org/web/packages/sde/sde.pdf

# R source code example on how to trade using a GARCH Volatility Forecast

R source code example on how to trade using a GARCH Volatility Forecast

I am using RStudio so I can confirm sthat the code seems to be ok but the plots fail with a message;
Error in plot.window(…) : Logarithmic axis must have positive limits
In xy.coords(x, y, xlabel, ylabel, log) :
3120 y values <= 0 omitted from logarithmic plo

Could it be the data used? I am not sure but I only need the data anyhow. Looks good but still need to validate it as I get more comfortable with R.

# Crucial and many helpful R packages and research papers for finance and HFT with quant model, algo, and strategy example

Crucial and many helpful R packages and research papers for finance and HFT with quant  model, algo, and strategy example

Note none of these have NOT been verified or validated yet but don’t mind me, I feel like a kid in a candy factory with these!

With Interactive Brokers and R:

http://cran.r-project.org/web/packages/IBrokers/vignettes/RealTime.pdf

Implied volatility:

http://www.r-bloggers.com/the-only-thing-smiling-today-is-volatility/

For volatility forecasting using GARCH

Time series analysis and computational finance Cointegration test

www.stat.ucl.ac.be/ISdidactique/Rhelp/library/tseries/html/00Index.html
urca R package with Conintegration
http://cran.r-project.org/web/packages/urca/index.html

http://global-4-lvs-colossus.opera-mini.net/hs36-13/15877/1/-1/cran.r-project.org/urca.pdf

Limit Order Book R package

Engle Granger coefficient test

http://cran.r-project.org/web/packages/tsDyn/tsDyn.pdf
CRAN – Package crawl random walk theory

http://cran.r-project.org/web/packages/crawl/index.html

Time series analysis in r (includes autocorrelation p17)

http://www.statoek.wiso.uni-goettingen.de/veranstaltungen/zeitreihen/sommer03/ts_r_intro.pdf
Ljung box test in r (includes times series)

Ljung Box part of this: http://www.statoek.wiso.uni-goettingen.de/veranstaltungen/zeitreihen/sommer03/ts_r_intro.pdf

http://cran.r-project.org/doc/contrib/Ricci-refcard-ts.pdf

Auto regressive estimation model
http://cran.r-project.org/web/packages/cts/vignettes/kf.pdf

Auto regressive is part of http://quantlabs.net/r-blog/2012/05/excellent-tutorial-on-using-urca-r-package-for-var-cointegration-statistical-tests-non-stationary-processes-benchmarks-and-estimating-models/
R time series pair trading Engle and Granger cointegartion
Volatility models
http://cran.r-project.org/web/packages/realized/realized.pdf
Brownian Motion
http://cran.r-project.org/web/packages/sde/sde.pdf
Non parametric regression estimation
http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-nonparametric-regression.pdf
Time based arbitrage opportunities
http://www.r-bloggers.com/time-based-arbitrage-opportunities-in-tick-data/

http://cran.r-project.org/web/packages/RTAQ/RTAQ.pdf
http://cran.r-project.org/web/packages/FinTS/FinTS.pdf
High frequency data analysis in r with taq data base
http://faculty.washington.edu/ezivot/research/hfanalysis.pdf
Probability of observing k arrivals

http://cran.r-project.org/web/packages/HMM/HMM.pdf
Note Amihud reference of cran in the following research paper:

http://poseidon01.ssrn.com/delivery.php?ID=595118123002081089030087126071081068052035058029030050009002086102005018011112069076118021122027111056019097028001082100025005051092069006116118100098122075080031073081071095115105007093083028120122&EXT=pdf
Info and market impact

http://www.econ.kuleuven.be/public/n09022/RTAQ_vignette.pdf
Most profitable hedge fund strategy in r

http://www.r-bloggers.com/most-profitable-hedge-fund-style/
Econometric Analysis of Financial Market Data

http://www.math.uncc.edu/~zcai/FE-notes.pdf

PCA in R

http://www.r-bloggers.com/principal-component-analysis-use-extended-to-financial-economics-part-2/
Statistical arbitrage in r

http://www.r-bloggers.com/most-profitable-hedge-fund-style/

Dynamic modeling of mean-reverting spreads for statistical arbitrage

CAPM n r (note PerformanceAnalytics R package may be just as effective)
http://cran.r-project.org/web/packages/BLCOP/vignettes/BLCOP.pdf
Package RTAQ liquidity arbitrage

http://cran.r-project.org/web/packages/RTAQ/index.html

Crucial and many helpful R packages and research papers for finance and high frequency trading with a quant  model, algo, and strategy example

Note none of these have NOT been verified or validated yet but don’t mind me, I feel like a kid in a candy factory with these!

With Interactive Brokers and R:

http://cran.r-project.org/web/packages/IBrokers/vignettes/RealTime.pdf

Implied volatility:

http://www.r-bloggers.com/the-only-thing-smiling-today-is-volatility/

Time series analysis and computational finance Cointegration test

www.stat.ucl.ac.be/ISdidactique/Rhelp/library/tseries/html/00Index.html
urca R package with Conintegration
http://cran.r-project.org/web/packages/urca/index.html

http://global-4-lvs-colossus.opera-mini.net/hs36-13/15877/1/-1/cran.r-project.org/urca.pdf

Limit Order Book R package

http://r-forge.r-project.org/R/?group_id=790
Engle Granger coefficient test

http://cran.r-project.org/web/packages/tsDyn/tsDyn.pdf
CRAN – Package crawl random walk theory

http://cran.r-project.org/web/packages/crawl/index.html

Time series analysis in r (includes autocorrelation p17)

http://www.statoek.wiso.uni-goettingen.de/veranstaltungen/zeitreihen/sommer03/ts_r_intro.pdf
Ljung box test in r (includes times series)

http://cran.r-project.org/doc/contrib/Ricci-refcard-ts.pdf
Auto regressive estimation model
http://cran.r-project.org/web/packages/cts/vignettes/kf.pdf
R time series pair trading Engle and Granger cointegartion
Volatility models
http://cran.r-project.org/web/packages/realized/realized.pdf
Brownian Motion
http://cran.r-project.org/web/packages/sde/sde.pdf
Non parametric regression estimation
http://cran.r-project.org/doc/contrib/Fox-Companion/appendix-nonparametric-regression.pdf
Time based arbitrage opportunities
http://www.r-bloggers.com/time-based-arbitrage-opportunities-in-tick-data/

http://cran.r-project.org/web/packages/RTAQ/RTAQ.pdf
http://cran.r-project.org/web/packages/FinTS/FinTS.pdf
High frequency data analysis in r with taq data base
http://faculty.washington.edu/ezivot/research/hfanalysis.pdf
Probability of observing k arrivals

http://cran.r-project.org/web/packages/HMM/HMM.pdf
Note Amihud reference of cran in the following research paper:

http://poseidon01.ssrn.com/delivery.php?ID=595118123002081089030087126071081068052035058029030050009002086102005018011112069076118021122027111056019097028001082100025005051092069006116118100098122075080031073081071095115105007093083028120122&EXT=pdf
Info and market impact

http://www.econ.kuleuven.be/public/n09022/RTAQ_vignette.pdf
Most profitable hedge fund strategy in r

http://www.r-bloggers.com/most-profitable-hedge-fund-style/
Econometric Analysis of Financial Market Data

http://www.math.uncc.edu/~zcai/FE-notes.pdf

PCA in R

http://www.r-bloggers.com/principal-component-analysis-use-extended-to-financial-economics-part-2/
Statistical arbitrage in r

http://www.r-bloggers.com/most-profitable-hedge-fund-style/

Dynamic modeling of mean-reverting spreads for statistical arbitrage