Quantpedia contacted me a few months ago and asked if I’d be interested in reviewing their site on my blog. I’m always looking for new ideas for trading systems, so I said “sure!” (Disclosure: they provided me with free account access during the review period.) is an aggregator and interpreter of academic papers on trading and financial research. An encyclopedia of quant-based trading research, if you will. Their sources appear mainly to be online academic journals and articles, and they provide links to the original sources for in-depth reading if you so choose. Continue reading Review:

Where Are the Customers’ Yachts?


While many books about trading and the stock market quickly become irrelevant, certain aspects of the markets are timeless. I’ve been going through my local library’s bookshelves, looking for books that might provide some insight. Most are technical in nature, but I’m currently reading Where Are the Customers’ Yachts? (or A Good Hard Look a Wall Street) by Fred Schwed Jr.

It was originally published in 1940, and has been reprinted several times since then. It’s a light-hearted, satirical and amusing roast of Wall Street and the players involved. Brokers, retail investors, bankers, chartists, short-sellers…no one avoids scrutiny. Given the book’s age, it’s amazing how much of it is still deadly accurate today. So if you want a short read and a good chuckle, I recommend it.

A link to the book for your convenience (no affiliation).

Backtesting with AmiBroker vs ProRealTime


So I finally bit the bullet and bought AmiBroker, which is comprehensive stand-alone software for charting and – more importantly for me -backtesting technical buy/sell systems.

Up until now I’ve been using‘s free Java-based charting software. The end-of-day data version is free, but their realtime intraday version is subscription based. It’s really nice considering the price, and allows you to program stock screeners and do limited backtesting using a BASIC-like scripting language. Other than being a little buggy sometimes, it’s a pleasure to use.

The major drawback to it is that you can’t backtest your trading systems across an entire universe of ticker symbols. You can only do one ticker at a time. So to get a decent overview of your system, you have to individually test each stock, record the results in a spreadsheet, and then add or average things up to get a sense of how one system might compare to another. But even testing 30-40 stocks can be quite laborious, especially if you’re also tweaking parameters in your system.

Enter AmiBroker. While there are web/cloud-based backtesting platforms available, those are mostly subscription-based. AmiBroker is the only software I know of that is standalone, will test a large batch of stocks at once, and costs a one-time fee. It’s not cheap ($279 at this writing) but I finally decided it was worth the ‘investment’.

I’m a Mac guy, so the fact that it’s PC-only is a drag. I had contemplated running it on a Windows virtual machine on my Mac, but fortunately my kids got a new Windows laptop for Christmas, and I’ve inherited their old one. So I’ve installed AmiBroker and am slowly getting the hang of it. It’s complicated, but having already learned ProRealTime, I’ve got a head start. Note the two platforms are unrelated except that they’re both charting software.

Tonight I was able to translate one of my systems from ProRealTime into AmiBroker’s scripting language, and for the first time ever was able to run a test over a large group of stocks (thousands) and over an extended period of time (Jan 1 2000 to the present). I picked my most winning-est system to test. And the results?

Kinda pathetic.

Why does the system look so good when picking supposedly random stocks on ProRealTime, but look so bad when using AmiBroker? No friggin’ idea. A little depressing, but I guess there’s room for improvement before I invest more money with that particular system.

P.S. The way the two platforms are configured, I will probably continue to use both of them. I’ll use PRT for checking my latest trade data and possibly screening, and AmiBroker for the actual backtesting. We’ll see if that changes going forward.

UPDATE 01/07/15: One thing I’ve found is that the free downloadable EOD data from yahoo finance has a few errors in it. Every once in awhile I lose my shirt or become an instant paper-millionaire due to glitches in the data. I’ve gotten into the habit of a) checking the best and worst trades of a backtest to make sure they don’t look suspicious, and b) not refreshing my data very often.

Wait, what? Not refresh the data?! Yes, really. If I’m testing 15 years of data, does it matter if my end date is 12/27/14 vs 01/07/15? No I don’t think so. And I’m not currently using AmiBroker as screener, so fresh data is not worth the hassle of cleaning it.

Also, AmiBroker allows your backtests to look into the future, which is a bad thing. And it’s quite easy to do it in a subtle way too, like for example accidentally using the Close price as a signal while buying on the Open price of the same day. So it’s important after designing a backtest system that you check to make sure the buy and sell prices are exactly what you expected them to be, and occur on the days your system indicates precisely. While there is a function to test for crystal-ball-reading, it’s not automatic.

The Single Most Important Book (So Far)

As you may have read in my “Me, Me, Me” page, I got started as an active trader by reading this book. And while it’s an amusing and interesting story, the ATA (Actual Trading Advice) is pretty slim. So it was something of a fluffy, puffy book for me.

Not satisfied, I went looking further. I was heading to Hawaii for a vacation – no, NOT earned with all my stock market winnings. I wanted some ebooks for the plane etc, and found a positive gem.

It’s called The Honest Guide to Stock Trading, by Llewelyn James. I got lucky with a really great book at the beginning of my journey, because there are some real dogs out there. Llewelyn does a really great job of explaining not just how to trade, but loss management, portfolio management, position-sizing etc. It’s like a shot of tequila…distilled down to its raw, unfiltered state.

I also like that he insists on testing everything. I’m a huge skeptic when I come across technical traders who read charts like tea leaves and horoscopes. “This one looks like a cup-and-saucer. This one looks like a double-bottom. This one looks like a girlfriend I had back in February of last year…” But not Llewelyn. He gets his robot-ninja chart-crunching software out and smacks the heck out of those charts, until money drips out.

But he’s very clear: the money drips and sometimes runs dry. It doesn’t pour out like some charlatans claim. In short, he speaks to my “prove it to me” nature.

Without hesitation I recommend his book. His other one is good too, but start here. Oh and he has a blog too (here).