Monday, May 25, 2009

1:05 pm - Choosing a Trading System That Actually Works

Choosing a Trading System That Actually Works

By Bill Poulous
Edited by Martin Wong

Background
I believe a good trading system should be considered for inclusion in one’s portfolio in order to potentially enjoy superior returns.

* Finding a good trading system, however, can be a very difficult process. So it becomes necessary to have a way of distinguishing good systems from the rest.

Fortunately, there is a way to do this by using a demanding set of criteria that I believe must be met in order for you to consider using the system.

The purpose of this report is to define the criteria that I believe will enable you to identify the good systems out there from all the rest.

Bill Poulos, founder of Profits Run

*Futures trading is not appropriate for everyone. There is a substantial risk of loss associated with trading futures. Losses can and will occur. No system or methodology has ever been developed that can guarantee profits or ensure freedom from losses. No representation or implication is being made that using the Instant

Profits methodology or system will generate profits or ensure freedom from losses.

Criteria
Listed below are the key elements of the criteria set you should use in evaluating a trading system.

A good trading system will meet the requirements of each key element whereas many
systems will only meet some requirements. For example, a trading system may be advertised as having 80% winning trades which sounds pretty good. However, that same system’s losing trades may be 5 times higher than the average winning trade, making the
system a net loser.

Mechanical System

The trading system must be 100% mechanical without any human input or overrides. It must also not be tweaked or adjusted as time goes on to fit current data. Also, the system algorithms or rules must not be curve-fitting or tailored to short term, non-repetitive patterns of past data that eliminate otherwise losing trades. A good way to screen for curve-fitting is to look for consistently good results over a minimum of 5 years of past data that meet all of the other criteria outlined in this report as well.

The trading system mustbe 100% mechanical without any human input or overrides.

Liquid Markets

The trading system should be aimed at liquid markets where sufficient daily volume exists to easily and consistently execute orders as intended by the system with a minimum of slippage.

For example, the Bursa Malaysia FKLI & FCPO is highly liquid, whereas the Single Stock Futures Market is far less liquid.

Market Direction Independence

A good trading system will not be dependent on a bull market for its success. It should have the potential to generate successful trading performance in all market conditions; bull, bear, and sideways trading range.

Hypothetical Performance Results

The primary way of evaluating a trading system is based on its historical back tested performance (“hypothetical performance”).

But the performance record must include real world trading commission and slippage assumptions. Commission and slippage can cause an otherwise winning performance to actually be a net loser. Beware of any futures trading system performance data where commission and slippage assumptions are not included or are understated.

An inherent characteristic of investing in general and in trading systems in particular is the maximum drawdown in account value from the most recent peak. This is a very important factor in assessing the risk associated with any system.

There are two aspects to consider; the dollar amount of the drawdown as a percentage of the total account value (should not exceed ½ of the average annual return) and the duration of the drawdown until a new peak level in equity is realized (should not exceed 6 months).

Given this scenarios, for the equity/capital RM 50,000 and expected return is 150 % p.a.
So, the new equity peak = RM 125,000.

Assumption :
1. Amount Drawdown <= 0.5 * Average Annual Return Drawdown = 0.5 * 150% * RM 50,000 = RM 37,500 on basis on new peak equity at RM 125,000 so expected amount declined by RM 37,500.


It means you have RM 125,000 as your new peak equity and you lose RM 37,500 to balance RM 87,500 (a decline of 30% drawdown).


2. Drawdown period of 6 months until a new peak level for capital for sideway. The system trading has to make back the equity RM 37,500 in 6 months (-30%) time to return the equity back to RM 125,000 of (+42.8) or average monthly return of +7.1%.



Here is an example from Trading S1 & R1 Breakout for FCPO Bursa Malaysia.

Some trading systems hype great profits over the past several years, but don’t disclose drawdowns that sometimes exceed the initial capital invested and last for a year or more.

Before selecting a trading system, you must be able to quantify the drawdown risk and find it suitable, both financially and emotionally.

Beginning Account Size

The maximum past drawdown (over a minimum five year period) plus the margin required for one contract is the absolute minimum account size required to trade a system. And to be conservative, it is prudent to add a buffer since the maximum drawdown for any trading system is always in the future.

Annual Returns

Annual returns are measured as net profit after commissions and slippage, divided by the beginning account size which gives you annual percent return on beginning account size. Two things are important here.

First, the average annual net profit should be a minimum of twice the maximum drawdown over a period of at least 5 years. Second, ideally there should be no losing years.

Trade Profile

There are two aspects important here. First, the percent of profitable trades should be in the 40-60% range and the ratio of average win to average loss should be in the 1.3 - 2.0 range.

Second, the average trade net profit (total net profits divided by the total number of all trades) should be at a minimum 3 times greater than real world per trade slippage and commission assumptions.

* Beware of systems claiming to deliver greater than 60% winners. Such systems usually exhibit a very poor average win to average loss ratio where a few losing trades can easily wipe out profits from several winning trades.

Remember, a trading system must meet all of the criteria elements outlined here to qualify as a system that you would consider trading for your own account.

You Now Have the Tools

By following the guidelines in this report, I believe you are now in a position to distinguish the difference between good systems that have the potential to deliver superior returns and the rest.

*Remember, a trading system must meet all of the criteria elements outlined here to qualify as a system that you would consider trading for your own account.

The Next Move Is Yours

Trading systems are not for everyone. In particular, futures trading involves significant risk and should only be considered by those who have determined that futures trading is appropriate for them with regard to their financial situation.

However, the appropriate use of a good automated trading system could mean the difference between mediocre and superior returns.

* I believe you now have the tools necessary to properly evaluate a trading system. I hope this report has been informative and adds to your success in the future.

*Futures trading is not appropriate for everyone. There is a substantial risk of loss associated with trading futures. Losses can and will occur. No system or methodology has ever been developed that can guarantee profits or ensure freedom from losses. No representation or implication is being made that using the Instant Profits methodology or system will generate profits or ensure freedom from losses.

5:01 pm - Here is the backtesting Results for Rebound Gap Trade for FCPO.





The results tested is not encouraging as most of the rebound gap is in red areas and high drawdown.


Tuesday, May 19, 2009

2:29 pm - Here is the trading results for IntraDay Trading FCPO from Jan 09 - Mid May 09



Using different entry but one entry can give different results.

12:07 noon - A Good Article on DrawDown on Trading Capital !

Why Drawdown Is Normal As a Trend Following Trader
(December 03, 2008)

Winton Capital offers clarity on drawdown in trading:
As a description of an aspect of historical performance, drawdown has one key positive attribute: it refers to a physical reality, and as such it is less abstract than concepts such as volatility. It represents the amount by which you are less well off than you were; or, put differently, it measures the magnitude of the loss an investor could have incurred by investing with the manager in the past. Managers are obliged to wear their worst historical drawdown like a scarlet letter for the rest of their lives. However, this number is less straightforwardly indicative of manager quality as is often assumed. The seeming solidity of the drawdown statistic dissipates under closer examination, due to a host of limitations which are rarely explored sufficiently when assessing its significance as a guide to the future performance of an investment.

The Pros and Cons of “Drawdown” as a Statistical Measure of Risk for Investments
By David Harding, Georgia Nakou & Ali NejjarWinton Capital Management

The first is that, all other things being equal, drawdowns will be greater the greater the frequency of the measurement interval. The maximum drawdown will be greater on a daily time series than on a weekly one, and weekly will be greater than monthly. Investments that are marked to market daily, such as managed futures, may thus appear at a disadvantage to less frequently valued investments (e.g. hedge funds).

The Pros and Cons of “Drawdown” as a Statistical Measure of Risk for Investments

By David Harding, Georgia Nakou & Ali NejjarWinton Capital Management

The second is that the maximum drawdown will be greater for a longer time series, so that managers with longer track records will tend to have deeper maximum drawdowns. This effect would have perverse consequences if the raw maximum drawdown were used to measure quality across the board, as, in general, managers that have survived longer have given evidence of professional competence through overcoming such adversities.

The Pros and Cons of “Drawdown” as a Statistical Measure of Risk for Investments
By David Harding, Georgia Nakou & Ali NejjarWinton Capital Management

In order to make drawdown a more informative statistic, we must correct for track record length, measurement interval and volatility; we must take account of the error as well as making sure that we understand the nature of the return generating process (i.e. that it is reasonably parametric). Though some analysts correct for some of these factors, the conventional cursory use of drawdown as a statistic fails most or all of these tests, making it worse than useless.

The Pros and Cons of “Drawdown” as a Statistical Measure of Risk for Investments

By David Harding, Georgia Nakou & Ali NejjarWinton Capital Management

David Harding is the founder of AHL, a Hedge Fund of Man Investments Group

Wednesday, May 13, 2009

3:29 pm - Results : Trading System Exponential Moving Average 3 cross 7 !






Here is the results for FKLI Hourly chart for different period of the year 2005, 2006, 2007, 2008 & 2009 with different exits.


The entry is long when EMA 3 cross EMA 7 and short vice-versa.


The exit to close the trade with a profit or loss can be either

1) End of Day

2) 10 pts stop loss or

3) 3.0 ATR trailing stop loss.






So far, I find it difficult to make money using EMA 3 cross 7 as the profit is quite inconsistent. Bear in mind, the commission used is RM50.