I cant believe you said this?
It shows immaturity, ignorance, lack of respect ( Howard's more than earnt it! ) and While Howard pushes his barrow
He gives volumes of information you wouldn't get free from anyone I know.
If you have no interest or in put
Most liked posts in thread: Technical Analysis book recommendations
Begin with the free stuff. Watch the videos I have posted to YouTube:
Understand the concept of "stationarity." In order for patterns, rules, and profits to continue in the future as they have in the historical data you will be mining as you work through system development, the future must resemble the past. That is, the distribution of what is important to your trading must be stationary.
Understand the concept of "risk normalization." Given two or more alternative uses of funds, use the techniques of risk normalization to be able to compare them, choose among them, and decide which (if any) should be traded.
My mantra: Trade frequently, trade accurately, hold a short period, avoid serious losses.
I recommend trading a single issue long/flat. Create as many systems that trade a single issue long/flat or short/flat (but this is harder) as you wish. Evaluate their performance daily. Trade the current best one. One. Creating a portfolio gives the illusion of safety through diversification, but guarantees that some of the funds are being used suboptimally.
The field of technical analysis / quantitative analysis is changing very rapidly. I feel traditional technical analysis based on visual examination of charts, drawing trend lines, looking for traditional patterns such as flags, support, resistance, divergence, etc is no long state-of-the-art and no longer worth learning. If you have the math aptitude for it, consider going straight to machine learning. Read the thread: "Getting started in machine learning for trading."
Separate the trading system from the trading management system. The trading system evaluates the price data in search of patterns that precede profitable trades and issues signals to buy or sell. Importantly, it has no position sizing component. The trading management system evaluates recent trades, determines the health of the system, estimates risk, estimates profit potential, computes maximum safe position size.
There are no challenger tournaments, no handicaps, no do-overs. From your first trade through your last, your competition is the best traders in the world -- Goldman Sachs, David Shaw, James Simons.
The single best book is "Thinking, Fast and Slow," by Daniel Kahneman. Dr. Kahneman explains how easily we fool ourselves. My recommended reading list, as of mid-2016, is:
Search through ASF postings for more of my musings and rants.
Best regards, Howard
Check out the books, podcasts and videos of these two guys:
- Kevin Davey
- Howard Bandy
Everything else is recycled rubbish that doesn't work anymore and not worth your money. For ideas see quality blogs, publications, etc., take them and add your own touch. Generally, whatever everyone else is doing, do the opposite or do something completely unheard of. Make your own indicators and unique ways of describing market action to make trading decisions from. As stated above, head and shoulders, flags, divergence, Elliot Wave (don't get me started on this crap), etc. is all a waste of your time. Also books on psychology, journaling your trades, etc. is BS. Psychology should be largely dealt with during the development phase. If you want to get into quantitative systems my recommendation is to get AmiBroker Professional, good data (don't ever be a tight a** with data) and do focused study on Kevin's and Howard's materials. Probably a $1000 initial outlay and keep it to that.
But this is just my opinion.
If you want to go the machine learning route, I recommend Python for the development platform and Quandl for data. Python will be free forever. Quandl will be free until you decide you want higher quality curated data, then subscribe to their premium service at about the same price as Norgate.
Traditional platforms are limited to one model type -- decision trees. Machine learning expands the number of models to several dozen, including decision tree.Indoril likes this.
I have a couple of Howards books and one the he very kindly posted to me 4 free after a very generous offer here on ASF , Howards videos and books have singularly been the most helpful things from an individual ive had in my 18 years of trading journey and i wish i went down this road a decade ago .. Kudos to Mr Bandy , we are lucky to have him hereChris25 likes this.
I have certainly been more interested in quantitative trading over traditional technical analysis but I guess I was more looking into the maths of how certain indicators work and why, in hopes it would help in developing a quantitative system. Basically, I haven't been able to find many good sources on how to start learning quantitative trading outside of the very basics. Having said that, I have started this course on machine learning at Udacity, Machine Learning for Trading, which so far has been very good.