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Quintuitive - Quantitatively Intuitive Views on Markets

Quantitatively Intuitive Views on Markets

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Quintuitive - Quantitatively Intuitive Views on Markets | quintuitive.com Reviews

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Quantitatively Intuitive Views on Markets

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1

Shortcuts for quantmod - Quintuitive

http://www.quintuitive.com/2014/05/28/shortcuts-for-quantmod

Quantitatively Intuitive Views on Markets. Over the years, there have been a couple of issues I have been trying to address in my daily use of this excellent package. Both are “cosmetic” improvements, they only improve the usability of the package. Let me share them and see whether they can be improved further.:). First, let’s reduce the typing involved with. Compare what I used to use vs what I use now:. Much easier to type. If you wonder,. The complete source code is available on GitHub.

2

R Archives - Quintuitive

http://www.quintuitive.com/category/programming/r

Quantitatively Intuitive Views on Markets. Labeling Opportunities in Price Series. Too Much Parallelism is as Bad. The other day I run a machine learning backtest on a new data set. Once I got through the LDA and QDA initial run, I decided to try xgboost. The first thing I observed was a really bad performance. The results from the following debugging session were quite surprising to me. Creating Calendars for Future’s Expiration. The general believe is that there are windows during which prices of certa...

3

What has Worked in June - Quintuitive

http://www.quintuitive.com/2015/05/28/what-has-worked-in-june

Quantitatively Intuitive Views on Markets. What has Worked in June. Time to start looking at the next month. Let’s start with the top five performing futures (ordered by winning percentage):. Looks like June is usually good for US treasury instruments. The high mean return indicates some major events have happened in June, however, the median supports the thesis that, overall, June is a good month for financials. Sell in May and go away? Leave a Reply Cancel reply.

4

Trading Moving Averages with Less Whipsaws - Quintuitive

http://www.quintuitive.com/2015/06/21/trading-moving-averages-with-less-whipsaws

Quantitatively Intuitive Views on Markets. Trading Moving Averages with Less Whipsaws. Using a simple moving average to time markets has been a successful strategy over a very long period of time. Nothing to brag home about, but it cuts the drawdown of a buy and hold by about a half, sacrificing less than 1% of the CAGR in the process. In two words, simple yet effective. Here are the important numbers (using the S&P 500 index from 1994 to 2013, inclusive):. First we apply the moving average not to the pr...

5

A Better ZigZag - Quintuitive

http://www.quintuitive.com/2015/06/06/a-better-zigzag

Quantitatively Intuitive Views on Markets. There are a lot of “winning” strategies for bull markets floating around. 8220;Buy the pullbacks”. Is certainly one of them. Does this sound simple enough to implement to you? While I am no Sheldon Cooper (although I have a favorite couch seat), I still like to live in a somewhat well defined world, a world in which, there is much more information attached to a tip like. 8220;Buy the pullbacks”. Notice, we have a few more “corrections” generated by t...The TTR&#...

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adaptivetrader.wordpress.com adaptivetrader.wordpress.com

A New Approach to Trading | Adaptive Trader

https://adaptivetrader.wordpress.com/2013/03/29/a-new-approach-to-trading

A New Approach to Trading. Recently I changed the way I approach trading system development. Reading A Different Approach to Money Management. Is what gave me the original idea to alter my approach to trading, but my research is what pushed me over the edge. High exposure but low returns. High returns (after factoring for exposure) but low exposure. Only one system to manage. I don’t have to check for as many signals. Not diversified – higher risk. March 29, 2013. Trading Every Other Trading Day. Fill in...

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High Frequency Trading | Adaptive Trader

https://adaptivetrader.wordpress.com/2014/03/12/high-frequency-trading

Here are some general facts on what I’ve learned so far:. Strategies are generally divided into liquidity-taking (gross positive, profit off prediction) and liquidity-providing (gross negative, profit off rebates). HFT are VERY active in the ES markets. Most likely the most HFT-dominant market. During mid-day when manual traders are less active, algorithmic activity is easier to detect and predict (I haven’t seen this myself, just heard from a trader). The golden age of HFT is on a decline. Profit ma...

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Glossary | Laplace Insights

https://laplaceinsights.wordpress.com/glossary

According to Wikipedia, Data science. Is the study of the generalizable extraction of knowledge from data. It builds on theories and methods from mathematics, engineering, computer science and real world experience. For example, data science applied to a business problem implies that the data scientist understands how business works in order to come up with useful models. Unsupervised learning is a machine learning task when the computer algorithm is given a data set and no labeled data to train for (unl...

adaptivetrader.wordpress.com adaptivetrader.wordpress.com

Mean-Reversion Volatility Filters Part Two: Since 2011 | Adaptive Trader

https://adaptivetrader.wordpress.com/2013/05/03/mean-reversion-volatility-filters-part-two-since-2011

Mean-Reversion Volatility Filters Part Two: Since 2011. On my previous post, Mean-Reversion Volatility Filters. Buy if 3-Day IBS 40. Sell if 3-Day IBS 40. Avg Trade: 0.53%. Buy if 3-Day IBS 40 AND HV(5) HV(20). Sell if 3-Day IBS 40. Avg Trade: 0.68%. Buy if 3-Day IBS 40 and HV(5) HV(20). Sell if 3-Day IBS 40. Avg Trade: 0.38%. Buy if 2-Day RSI 50. Sell if 2-Day RSI 50. Avg Trade: 0.21%. Buy if 2-Day RSI 50 and HV(5) HV(20). Sell if 2-Day RSI 50. Avg Trade: 0.40%. Buy if 2-Day RSI 50 and HV(5) HV(20).

adaptivetrader.wordpress.com adaptivetrader.wordpress.com

wiliambinghua | Adaptive Trader

https://adaptivetrader.wordpress.com/author/williambinghua

Here are some general facts on what I’ve learned so far:. Strategies are generally divided into liquidity-taking (gross positive, profit off prediction) and liquidity-providing (gross negative, profit off rebates). HFT are VERY active in the ES markets. Most likely the most HFT-dominant market. During mid-day when manual traders are less active, algorithmic activity is easier to detect and predict (I haven’t seen this myself, just heard from a trader). The golden age of HFT is on a decline. Profit ma...

tradesimtech.blogspot.com tradesimtech.blogspot.com

Trading Simulation Technologies: Elementary trend following trading system

http://tradesimtech.blogspot.com/2012/09/elementary-trend-following-trading.html

Forex, Futures - Financial Engineering, Computational Intelligence. Friday, September 14, 2012. Elementary trend following trading system. The system is simple, almost trivial, so it is certainly not intended to be a real game, but that's not the purpose of his presentation. It has to explain the idea of ​​the design and development of systems - from elementary to the most complex. Here are the assumptions:. Decisions are made solely on the basis of the OHLC quotations within fixed intervals,. Minimum st...

tradesimtech.blogspot.com tradesimtech.blogspot.com

Trading Simulation Technologies: November 2012

http://tradesimtech.blogspot.com/2012_11_01_archive.html

Forex, Futures - Financial Engineering, Computational Intelligence. Thursday, November 22, 2012. Does CAPM model make sense for trading systems in the Forex market? Ie Capital Asset Pricing Model. The model mentioned here was originally formulated for equity portfolios, and naturally is followed by the idea - good or bad - to transplant its prey on the ground of derivative instruments, including Forex. Subscribe to: Posts (Atom). RSS Neural Networks for Trading. Dating for nerds chicago. Ehlers’s A...

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Trading Simulation Technologies: Formulas for inverting the position in trend following strategy

http://tradesimtech.blogspot.com/2012/09/formulas-for-inverting-position-in.html

Forex, Futures - Financial Engineering, Computational Intelligence. Monday, September 17, 2012. Formulas for inverting the position in trend following strategy. The system discussed in the previous post. Can be easily tested using the simulation method of its operation. The input record format will be an Open-High-Low-Close, and I plan to implement the engine of the system. Using C compiler together with the R environment. Subscribe to: Post Comments (Atom). RSS Neural Networks for Trading. Next Generati...

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Trading Simulation Technologies: Formulas for gains and losses in trend following strategy

http://tradesimtech.blogspot.com/2012/09/formulas-for-gains-and-losses-in-trend.html

Forex, Futures - Financial Engineering, Computational Intelligence. Saturday, September 29, 2012. Formulas for gains and losses in trend following strategy. In the previous post. Formulas are expressed by differences between corresponding values of opening and closing rates as well as the values of the levels of reverse in cases where the reversal took place. This is precisely the concept of the system I will present in the next post. Subscribe to: Post Comments (Atom). RSS Neural Networks for Trading.

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Quintuitive - Quantitatively Intuitive Views on Markets

Quantitatively Intuitive Views on Markets. Tradelib is Open Source. Is my framework which I have been using for backtesting and signal generation in my futures trading. My feeling is that it might be useful to others, and I have decided to open source it. Interactive Brokers Now Supports Continous Futures. I just noticed that Interactive Brokers has added some support. For continues futures contracts! Trading Moving Averages with Less Whipsaws. Using a simple moving average to time markets has been a suc...

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