engineeringinvestments.com
How Algorithmic Trading is the best investment you may think it is
https://engineeringinvestments.com/why-forex-trading-is-no-longer-the-gamble-you-think-it-is
Automated Trading Software and High Gain Investments. Swing Trading with Oliver Velez. Bulkowski Encyclopedia of Chart Patterns. Free eBooks and Trading Software. Forex Algorithmic Trading: A Practical Tale for Engineers. How Algorithmic Trading is the Best Investment you may think it is. The FOReign EXchange market. Algorithmic-trading and High Frequency Trading. This positive progress will make the market infinitely less risky and potentially the best investment. For even the individual trader! Algorit...
quantstrattrader.wordpress.com
An Introduction to Portfolio Component Conditional Value At Risk | QuantStrat TradeR
https://quantstrattrader.wordpress.com/2016/07/12/an-introoduction-to-portfolio-component-value-at-risk
Trading, QuantStrat, R, and more. An Introduction to Portfolio Component Conditional Value At Risk. July 12, 2016. Posted in Asset Allocation. For those interested in an in-depth analysis of the intuition of component conditional value at risk, I refer them to the paper written by Brian Peterson, Peter Carl, and Kris Boudt. First, a demonstration of how the mechanism works using the edhec data set. There is no strategy here, just a demonstration of syntax. For a future backtest, I would like to make some...
quantstrattrader.wordpress.com
Are R^2s Useful In Finance? Hypothesis-Driven Development In Reverse | QuantStrat TradeR
https://quantstrattrader.wordpress.com/2016/04/18/are-r2s-useful-in-finance-hypothesis-driven-development-in-reverse
Trading, QuantStrat, R, and more. Are R 2s Useful In Finance? Hypothesis-Driven Development In Reverse. April 18, 2016. Posted in Asset Allocation. This post will shed light on the values of R 2s behind two rather simplistic strategies — the simple 10 month SMA, and its relative, the 10 month momentum (which is simply a difference of SMAs, as Alpha Architect. Showed in their book DIY Financial Advisor. Here’s the code to do that:. And here are the results:. SMA10 MOM10 BuyHold Annualized Return 0.097...
quantumfinancier.wordpress.com
Quantum Financier | On algorithmic trading | Page 2
https://quantumfinancier.wordpress.com/page/2
February 15, 2011. When designing a model, an aspect that I often overlook is scalability. First a definition from Investopedia: A characteristic of a system, model or function that describes its capability to cope and perform under an increased or expanding workload. A system that scales well will be able to maintain or even increase its level of performance or efficiency when tested by larger operational demands. Other avenues to consider in scalability are left to the interested reader who can always ...
quantumfinancier.wordpress.com
Basic Introduction to GARCH and EGARCH (part 1) | Quantum Financier
https://quantumfinancier.wordpress.com/2010/09/12/381
Basic Introduction to GARCH and EGARCH (part 1). September 12, 2010. As request by several readers in light of the previous series of post on using GARCH(1,1) to forecast volatility, here is a very basic introduction post on two models widely used in finance: the GARCH and EGARCH. As mentioned in one of my all time favorite blog post: Wonder of Residuals. There is a myriad of information and uses to this construct. When we fit a model, we are, or I am anyway (! Would call it level 1 adaptation. Must be e...
quantumfinancier.wordpress.com
Hello Old Friend | Quantum Financier
https://quantumfinancier.wordpress.com/2015/03/17/hello-old-friend
March 17, 2015. Reports of my death have been greatly exaggerated Mark Twain. Obviously since I have been trading full time my skill set has evolved so I can only imagine that the new perspective I hope to bring to the analysis contained moving forward will be more insightful. To all of you. From → Uncategorized. Larr; 2012 Wishes. 99 Problems But A Backtest Ain’t One →. March 18, 2015 03:31. Glad to hear you back🙂. Can I ask you what are the reasons to move to Python? March 19, 2015 14:40. I think R is...
quantumfinancier.wordpress.com
Basic Introduction to GARCH and EGARCH (part 2) | Quantum Financier
https://quantumfinancier.wordpress.com/2010/09/14/basic-introduction-to-garch-and-egarch-part-2
Basic Introduction to GARCH and EGARCH (part 2). September 14, 2010. First we construct the portfolio, see below the numbers for each individual component and the portfolio in the last column. From the standard deviation in the table, we see that SPY is far more volatile than AGG. Also note the very fat tail of SPY (normal value is 3). Finally, the negative skewness indicates that the left tail (negative returns) is longer, translating into more extreme losses. From → Uncategorized. I tried to follow alo...
scottlocklin.wordpress.com
Optalysys and Optical computing | Locklin on science
https://scottlocklin.wordpress.com/2014/08/11/optalysys-and-optical-computing
Skip to search - Accesskey = s. Optalysys and Optical computing. Posted in non-standard computer architectures. By Scott Locklin on August 11, 2014. While quantum computing appears to be turning into a multi-decade over-hyped boondoggle of a field, there is no reason why optical computers might not become important in the near future. Years before my attempted non von-Neumann punt into the intellectual void, my old boss Dave Snoke handed me a book called “ Fundamentals of Photonics. But the main technolo...
quantumfinancier.wordpress.com
99 Problems But A Backtest Ain’t One | Quantum Financier
https://quantumfinancier.wordpress.com/2015/03/23/99-problems-but-a-backtest-aint-one
99 Problems But A Backtest Ain’t One. March 23, 2015. Backtesting is a very important step in strategy development. But if you have ever went through the full strategy development cycle, you may have realized how difficult it is to backtest a strategy properly. People use different tools to implement a backtest depending on their expertise and goals. For those with a programming background, Quantstrat. From → Uncategorized. Larr; Hello Old Friend. Give me good data, or give me death →. Thank you for comm...
quantumfinancier.wordpress.com
Regime Switching System Using Volatility Forecast | Quantum Financier
https://quantumfinancier.wordpress.com/2010/08/27/regime-switching-system-using-volatility-forecast
Regime Switching System Using Volatility Forecast. August 27, 2010. In the same line of thoughts as last post, today we will look at a way to incorporate the GARCH volatility model we introduced yesterday to create a regime switching strategy. It is often discussed on the blogosphere that high volatility is good for daily MR, see previous editions of the state of short-term mean-reversion report by Michael over at MarketSci here. As mentioned before on many other blogs, incorporating volatility forecast ...