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Re: [Bulk] [RT] A note on Forecasting



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Sergey,
The inability of a methodology to return reliable and consistent performance is an indication that the underlying hypothesis is flawed. For example, methods based on static cycles or projections based on static cycles will have inconsistent performance over different stretches of time because static cycles are not fundamentally correct model of market activity.
There are characteristics of market movement and trader psychology that do not change over time and methods based on these will exhibit consistent performance. be it 100 or 700 samples.
 
Jim
----- Original Message -----
From: SergeyTS
Sent: Monday, December 08, 2008 11:52 AM
Subject: Re: [Bulk] [RT] A note on Forecasting

Hello, Jim
 
Actually, the question about financial statistics is a tricky one. The important things there are not only win/loss ratios, the intervals where these ratios are calculated should be considered as well. I have had many cases when a trading strategy worked very well for a half a year. And then it died forever.
 
As an example, see this intermediate backtesting result for huge intraday data:
 
 
 
 
The system provided 65% good signals (469 win./ 247 los.) during some perios (several months).
After that 53% only, and then 59%.
 
100 trades is not enough to get the reliable statistics (we use at least 500 trades, in this example 700 trades).
 
One of this forum's participants is Robert Pardo, he can comment this better than me.
 
Best regards,
Sergey
 
 
 
 
----- Original Message -----
From: Jim White
Sent: Monday, December 08, 2008 12:31 PM
Subject: [Bulk] [RT] A note on Forecasting

My pivot trading methodology depends on anticipating and trading as close to the pivot points as possible. My argument is that trades near the pivot points are the lowest risk and highest reward points to trade. I operate my trading as a business - I buy inventory  and sell to capture a minimum profit margin. I have spent most of my trading career studying the characteristics of markets at turning points (pivots) and constructing trading tools to anticipate and trade near those points. These tools deliver consistent reliability of profitable trades between 70% and 80%.
I document my trading concepts by forward testing, not computer generated back testing. In other words I trade the tools in real time and record the results. For example, my latest application to the ESZ08 has generated about 78% profitable trades on a five minute chart over the past 6 weeks.
One of the issues I have with the people that post forecast on this list is that they do not provide reliability measures of their techniques. Failed forecasts are rarely addressed and specific application details are not provided. Consequently I usually delete them without consideration - after all - a stopped clock is right twice a day.
So I recommend that anyone who posts a forecast provide the statistics documenting the same performance of technique over at least 100 applications. For example my techniques are good within one bar of the forecast 70% to 80% of the time depending on market. With that information, readers can better judge the value of the post.
 
Jim White
Pivot Research & Trading Co.
PivotTrader.com

 

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