What all successful traders eventually find out is that their âedgeâ in the markets is a form of artificial intelligence that is unique to them alone and has its own trading characteristics. In the process of discovering this âedgeâ each trader develops a rules based expert system to execute trades that works from their trading experiences with a set of trading controls than suits their financial needs.
An âedgeâ in trading is a set of expert trading rules that surround a statistical advantage based on market and price behavior that has a high probability to recur in the future. When a trading âedgeâ produces it can be exploited profitably using the traderâs controls.
To find out if an âedgeâ is persistent through time a trader applies one or more forms of back testing (data mining) of the trading rules to further conclude this form of artificial intelligence is truly time tested and worthy of trading live. To be deemed a winning âedgeâ an âedgeâ must during live trading be like (or some what similar to) the expectancy the trader finds during testing.
To keep the âedgeâ expert trading rules working in line with their financial assets the trader refines their a set of controls in their trading plan. A trading plan describes how the âedgeâ works, specifies rules for trading the âedgeâ with the traders capital, what the traderâs goals or expectations are from the âedgeâ, what the capitalization requirements are trade the âedgeâ, the traders psychological plan to trade the âedgeâ, and a disaster plan to trade the âedgeâ to name a few to major topics. The objective of this plan is to protect the traderâs capital and limit losses if times far worse than we found in testing the âedgeâ do occur.
The poorer that a trader defines trading rules for their âedgeâ and the fewer the controls the trader has in their plan for trade management for their âedgeâ the greater the chance for mistakes during live trading. High levels of mistakes in live trading can eat profits alive and turn a winning âedgeâ into a losing âedge.â
Then lastly the trader must monitor the âedgeâ with personal logs and performance reviews to measure it. This is the QA (quality assurance) check to make sure the âedgeâ works. If the failure rate is outside the acceptable limits of the edge for an extended period then it is time to reevaluate the âedge.â
