- Joined
- 15 September 2004
- Posts
- 364
- Reactions
- 2
TjamesX said:The reason for Q2 was to basically analyse a whole basket of portfolios using TT, but entering the market at different intervals ie 8 scenarios, each with their start date 1 year apart (for 8 year data set) - or if you wanted to get more detailed analysis 8x12 = 96 portfoios with their start date being 1 month apart. Then for each portfolio we'd analyse the results over the life of the portfolio monitoring time at which point the return was worst (open + closed trades), what was the longest period of time the total return (open + closed trades) was negative. I think this would give an accurate picture (over the 8 years of data) of the periods where TT did its best and worst relative the the market - but obviously is a lot of work, which is why I eyeballed the chart and chose the period to test for Q3.
Cheers
TJ
TjamesX said:OK..... sneaking in another question
Q4) A day in the life of TT - using TT you have mentioned that you only use a small amount of your time out of your day implementing the system. So on an average day what would you do...... ie
When do you run TT, each day? Do you download daily EOD data and Run?
How do you implement buys/sells TT has flagged (ie online broker, full service broker, automatically?)
How do you determine position size when entering a trade?
Do you implement all buy/sell signals or some? If only some how do you chose which ones? Does TT rate the strength of buy/sell signals relative to each other?
I will also run the Monte Carlo analysis and post the results.--Chart form seems to be the best way for people to understand or at least visualise.
I only buy some and I do eyeball the charts picked and UNLIKE the systems test I wont trade some charts.I have 2 eyeball criteria which I have made known from implementation----this could be one reason why the realtime results outstripped the test results---but I cant test it so cant be sure.
(1) The chart must be in an OBVIOUS uptrend or in an OBVIOUS break of a downtrend.
(2) The chart cannot have been ranging like between $1 and 1.60 over 5 yrs it must have upside potential.
Mark there are 300 + posts on TechTrader here and a great grounding for the method.
http://www.reefcap.com/ubb/Forum8/HTML/000091.html
Im happy to use the Method as a live case example as its been released for public scrutiny for 2.5yrs.I do have another method I trade which will remain proprietry.For those with Metastock here is the code.
ENTRY
Cross(H,Ref(HHV(H,10),-1)) AND H > Mov(C,40,E) AND HHVBars(H,70)=0 AND C < 10.00 AND C > O AND Fml("Liquidity") > 500000;
[In English,Todays high is greater than the highest high of the last 10 periods,AND the High is greater than the moving average of the close over the last 40 periods,AND todays Bar is the Highest High value of the last 70 periods,AND C is Less than $10,AND Close is Greater than the open,AND the average trading turnover for the last 21 periods is $500000]
The liquidity formula which should be placed in the INDICATOR BUILDER is
Mov(V * C,21,S) [call it Liquidity]
The system has a INITIAL SET STOP of
If(Ref(C,-1)>0.90*EntryPrice,0.90*EntryPrice,Ref(C,-1));
This is code for TRADESIM and should not be entered in Metastock.
However in English.[If the last close falls below 90% of the entry price then exit]
EXIT
Cross(Ref(Mov(L,180,E),-1),C);
[English. If close Crosses the 180 day moving average of the low on the previous bar then sell this bar.]
ALL BUY,STOP and EXIT signals are traded NEXT DAY on OPEN
tech
TjamesX said:Ok after beefing up on a bit more reading...... I have some more Q's
Q8) I realise that the number of stocks flagged to buy using TT is quite large. Do you have actual statistics on the number of flagged buy signals over the 8 year testing period? What is the average num buy signals per year and per month during that period? Is that easy to work out.....?
Q9) You have mentioned that your stock universe is limited by the BT margin trading list (this is also the extent of fundamental analysis). What universe of stocks do you use in your back testing? Is it all listed companies on the ASX? If its different from the universe you actually trade - have you noticed any differences in performance as a result?
With reference to Q8, as a result of the large Num buy signals generated by TT, actual trades entered involves some form of discretion, whether that be random or eye balling charts for further T/A, So....
No thats not so to complete a full portfolio may take a few weeks ALL have been generated by the method so the only "Discretion" is which one.
Q10) Have you considered any other form of discretionary analysis (Fundamental or technical) on the output of TT to see if it may/may not increase the overall return? If yes, is that part of your proprietory method you use?
Q11) Do you think overall performance can be improved by applying further analysis on the output of TT? Or do you think it will take away from the simplicity of the system?
I have tested 100s of entry tweekings---entry is NOT the most important aspect---which most people cant get a head around---its purely a start point and not far above a random entry---
TjamesX said:I think I've had a bit of an aha!! moment.
I have a couple of questions regarding the simulations....
For simulation 1 - that was a single portfolio with $100,000 starting capital. I am assuming that obviously the simulation did not trade every buy signal from TT otherwise it would have run out of $$. So did it randomly pick which trades TT signaled to enter, or did it trade every signal until it had no money, and then wait for capital to be released?
For simulation 2 (monte carlo) - I am assuming that all potfolios started at Jan 1997 and ended Jul 2005, the only difference being which stocks they actually picked to trade?
I believe that both simulations were using no margin on any trades?
OK, so some analysis on the results;
I assuming that the best data to analyse TT performance is the average profit realised from Monte Carlo sims. This being $314,285.62, which represents an increase in total assets from $100,000 to $414,285.
Over the trade period (approx 8.5 years) this represents an annual compound return of 18.20%. Eyeballing a chart of the XAO, Jan 1997 was about 2350 and yesterday it closed at 4225... which equates to a compound return of 7.14%. Biiig difference.... and where does it come from. Random entry to stocks at the start of 1997 and holding, should return you about 7.14% compound over this period. Somehow during the trading period TT has been able to extract more value out of the rise in the All Ords..... and if TT entry signal is not much better than random entry, then its not here. So the outperformance of the system could be mostly attributed to working out when to exit a stock. In essence, TT has caused the portfolio to (in an uptrending overall market);
Hold stocks that will outperform relative to All Ords
Sell stocks that will underperform relative to All ords
All in two simple exit criteria....
Is my analysis wrong... or is that just weird.
I reckon some of the difference between the 18.2% and the 7.14% would be due to the "universe of stocks" that TT is working with (the BT Margin List).
We use cookies and similar technologies for the following purposes:
Do you accept cookies and these technologies?
We use cookies and similar technologies for the following purposes:
Do you accept cookies and these technologies?