tech/a
No Ordinary Duck
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- 14 October 2004
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I'd call it performance review/improvement rather than hindsight evaluation.
You mentioned some statistics in the first period of you and Pav's trading... and they were quite different to what has transpired in this exercise. So it seems reasonable to wonder why - and the reason could be the market, trade management, stock selection, general randomness or some combination of the above.
Well it wasn't but I welcome it as part of the process!!I was just hoping to get you to show in this thread how you undertake performance review / continuous learning. But if that is not the main purpose of this exercise that's understandable.
SKC I'm sure you have been involved in Montecarlo simulations as part of your analysis.
But for those who haven't --- results of say 5000 possible portfolios will give a range of results ranging from the mean to low to high ranges.
SKC I'm sure you have been involved in Montecarlo simulations as part of your analysis.
But for those who haven't --- results of say 5000 possible portfolios will give a range of results ranging from the mean to low to high ranges.
So it is highly likely that this portfolio is currently trading at the low end of possible results. Those who have worked with Monte carlo analysis like yourself---will know what I mean.
Monte Carlo simulation does not model serial correlations. This means the numbers coming out in each draw are random; there is no way to control what comes out in the next draw based on what was just drawn. But the market is serially correlated – especially if you are playing it based on momentum. What happens today does influence tomorrow – and what happens to one influences others – we know this instinctively as bull and bear markets.
Using Monte Carlo which infers true randomness (ie coin toss randomness) on a serially correlated data set will underestimate the possible range.
The questions I would be asking myself - Has the system got an edge or will it only work in a raging bull market when everything 'long momentum' does? Is the position sizing correct to see me through to the next bull market?
Monte Carlo simulation does not model serial correlations. This means the numbers coming out in each draw are random; there is no way to control what comes out in the next draw based on what was just drawn. But the market is serially correlated – especially if you are playing it based on momentum. What happens today does influence tomorrow – and what happens to one influences others – we know this instinctively as bull and bear markets.
Sure we have been through this – that's right, I don’t understand because I know FA.
The questions I would be asking myself - Has the system got an edge or will it only work in a raging bull market when everything 'long momentum' does? Is the position sizing correct to see me through to the next bull market? or am I relying on a Monte Carlo simulation of drawdown that may be understated because MC doesn't take into account serial correlation? Am I using a market trend filter - Is that the primary importance and individual stock selection secondary to my expectancy?
It's perfectly OK (and probably preferrable) to make few trades and make no profit for months when the market isn't treating you well, but with an opportunity to make decent returns when conditions become favourable. I raised the question about performance as the conditions do appear quite favourable at the moment.
Are you incapable of refraining from inflaming a discussion?.
Yes all valid questions and if I were designing a method to trade would ask and test.
This is however AN EXERCISE.
Ok
I think every process posted here (on ASF) should be open to every sort of scrutiny available.
Otherwise there is no learning!
...
If the B/E stop is non negotiable perhaps the market filter need to only switch on in explosive strong markets.
...
Or improve your odds (W%) by screening for trading candidates with a strong trend (ADX >30) with low volatility.
Or the top down FA approach, trade momentum in only the strong stocks in the strongest sector.
I hope you continue and I hope some of the less experienced traders who showed their enthusiasm at the start of this thread reappear and contribute more than they have during the thread. This exercise is a valuable real-time learning experience for the forum community and I hope it gathers enough support to rekindle the OP's passion for sharing.
Is there a nice way to say this?
Clearly you are changing the way tech/a trades, to something you are more comfortable with.
Personally I'd like to see a selection of ideas posted here put together in a trading
Method and traded in tandem.
The results would be good to reflect on in a few months.
Have been watching AGO in recent weeks. Tonight's prospect.
This is the idea I posted above, backtested. Basically you buy the dips of strong stocks. Not optimized yet so plenty of room for improvement.
Strong trend = 280+ days of the last 300 are above MA (low lag MA based on the lows with a high period)
Flush out bar = cross below this MA in the last 10 days >1.
Return to normal volatility = ATR(1)<.05
Buy a $5000 lot every bar that is below the MA when the above conditions are met (price averaging the entry)
Sell when the price crosses above the same MA of the closes, or with a 10% stop loss.
The % return is low, but the CAR/MDD is ok.
Excellent
Now trade it live.
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