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#027: MY STUDENT'S STRATEGIES (CASE STUDY #9)
After previously presented long-biased strategy, this week I have for you a short-biased strategy. It is a strategy for E-mini S&P MidCap 400 (EMD) market, 30-minute time-frame and has, same like the previous system, a drawdown under 3,000 USD which is making it suitable for small trading accounts. This is the basic setup: Market: E-mini S&P MidCap 400 (EMD) Main time frame (data1): 30-minute Secondary time frame (data2

#025: MY STUDENT'S STRATEGIES (CASE STUDY #8)
The strategy I have prepared for you this time is a strategy suitable for small accounts. The strategy is designed for E-mini S&P MidCap 400 (EMD) market, 15-minute time-frame, it is long- biased and the maximum drawdown is just 2,450 USD. That means that when you follow the rules I have described in this article, you can start trading this strategy with 10,000 USD account. And the stop loss is just 400 USD. This is rather low stop loss for an automated strategy. Here are som

#023: MY STUDENT'S STRATEGIES (CASE STUDY #7)
After several index strategies, that use 2 time frames, this time I have for you a strategy that works with just 1 time frame and still, it can offer really nice profits. You don’t need to use 2 time frames to profitable trade. The strategy was originally developed for the YM market, but when one of my students verified it in other markets, the strategy worked in the NQ market even slightly better than in the YM market. And since the strategy has passed all robustness criteri

#021: MY STUDENT'S STRATEGIES (CASE STUDY #6)
Another strategy that was created by one of my students is E-mini S&P MidCap 400 (EMD) strategy. This system is a little different from the previous ones as it uses light asymmetry for opening long and short positions. The logic is the same, yet one of the parameters is different for each direction. This approach is also acceptable (if the strategy passes the robustness tests!), I use it for some of my strategies, too. All you have to do in the code is to create one parameter

#019: MY STUDENT'S STRATEGIES (CASE STUDY #5)
Today I have prepared for you a strategy for e-mini crude oil (QM). It is build on the concept I teach my students and is, again, quite simple - you need less than 10 lines of a code and 2 parameters to be optimized. But the fact that it is simple doesn't mean that it is not robust. This strategy has to pass the same robustness test as previously mentioned strategies. The author of this strategy is Stanislav N., it is long-biased and was developed for QM market. Let's see th

#017: MY STUDENT'S STRATEGIES (CASE STUDY #4)
In the previous parts of this series I have presented to you three really nice strategies. The one I have prepared for you today is another strategy proving that everybody can become a professional trader when he has new, original ideas. The strategy I am about to present to you today is built on gaps, but it is used in a new, not so common way. The strategy was developed by Petr Z., it is called Gapper and trades both long and short: Market:

#015: MY STUDENT'S STRATEGIES (CASE STUDY #3)
In the first and the second article about successful automated strategies created by my students, I have presented to you nice strategies that can really bring beautiful profits with just minimum effort (once they have been developed, thoroughly tested and after they have passed all demanding checks which I teach all my students). For the third article I have chosen, again, quite amazing strategy that was developed by David V., called Ranger: Market:

#013: MY STUDENT'S STRATEGIES (CASE STUDY #2)
In the first article about profitable strategies, developed by my students, I have presented a strategy for e-mini S&P Midcap 400 market, 30-minute time frame. You can read about it here. Today it will be a strategy for soybean market. This strategy was created by my student Martin D. in 2015, it has passed all my very challenging robustness tests which I teach all my students, and has also passed paper-trading period. The trader has been trading it live for almost half a yea

#011: MY STUDENT'S STRATEGIES (CASE STUDY #1)
After several years of teaching how to build automated trading strategies and how to trade them, I already have a lot of successful students. Some of them use the trading profits as an extra income, they buy a better car or go for a nice holiday. However, most of them trade because they want to quit their 9-5 job and do what they love - become full-time traders. A couple of years back, some of them didn't know anything about trading. And yet, today they have their own portfol