Link : http://www.elitetrader.com/vb/showthread.php?s=&postid=3807643#post3807643Quote from Blotto:
Yes there were. Concerning the state of supply at that point in the market and how certain categories of participant would predictably trade next.
I'll give some pointers on this. First, it would be helpful to know what has happened in the past in a similar condition. I would suggest creating a historical database of intraday market data for the instrument you trade, and sorting it according to various parameters. You need to obtain the data, and create a way of sorting and organising it logically. You can then start to see similar conditions, and compare like with like.
So I could ask what does the ES typically do in the last 30 minutes of the session when we are X from a high (volatility dependent), down on the day, and some other supporting conditions are in force (to do with both the prior action say from lunchtime EST onwards and the location in the bigger cycle). I'll pick an example at random from my historical database for this sort of query. I can produce a 1 minute chart for you. The date is October 15th 2007. Visually alone you will see the similarities. Going back on a daily chart, you will see similarities also with the condition in force and the market continuing below the low the following day.
This isn't about visuals, it is about underlying conditions and the prices / quantities players are willing and able to transact at any given time. Prices and times of course play a factor, and I'd suggest specialising in one market and getting familiar with the historical conditions, repeating occurrences, try to logically deduce and reason why X is more likely to happen then not happen given supporting parameters. This knowledge can later be applied to other markets, using the same approach.
So there are a few questions we can ask which might be of assistance:
-is price action alone sufficient to predict future prices to a high degree of accuracy?
-how do we consider time, if at all?
-do we consider volume to be relevant? why? what does it represent?
-could there be benefit in organising and categorising prior market data to look for repeating conditions?
-do we need more information than just what we can see visually - time and sales data either in raw form or presented in a chart - ie should we be doing some sort of analysis based on how traders are positioned etc, and how can we quantify that?
-how players are positioned - to what degree does this influence how the market will progress next? is there predictive value here?
-are some players "more equal" than others due to size, access to information, etc and if so should we respect their participation (to follow perhaps but not trade against)?
-do some players make predictable decisions and can we exploit this for profit?
Some starting points. I just wanted to give an alternative viewpoint to the one which says "price is random" and "I trade as if price cannot be predicted". It is possible under certain conditions to predict the next N (minutes|seconds|microseconds) with a high degree of accuracy, or the next N ticks if you prefer. We have HFT guys predicting inside of seconds and very short term trades inside of minutes, and traders like me playing the next 10-30 minutes, and sometimes longer. Horses for courses, but it all involves prediction of some degree. I would argue that deciding that price is random AND attempting to trade profitably is somewhat of a contradiction, and hope that my posts have showed some alternative possibilities.
There are reasons for the time I mentioned, and the 8 point rally. Thorough testing of these conditions and prior price movement may reveal the appropriate parameters. It would not be beyond an independent trader to discover similar theories and implementations which yield similar results. I'd suggest analysing durations and magnitutes of price movement, ratios, degrees of movement within prior ranges, frequency and timing of turning points, market microstructure around turning points (with high quality accurate time and sales data), etc. Plenty to be investigated and discovered. This talk of "higher highs" "lower highs" etc does not do justice to the full range of possibilities to be explored and is frankly a one dimensional dead end which will not lead to consistently accurate trading.
Happy to discuss further if there is interest and some feedback / interesting questions. Of course cannot give too much away. Just providing some starting points, there are many ways to trade, what I propose is just one.
I copy/past this post of Blotto here as I think the questions raised in his message are interesting and may help to go forward, as "starting points" as he says.
But then I guess the difficulty will be also in the organisation of the datas gathered and how apply filters to obtain the desired information.
Valuable posts like these ones are rare.

030985