Quote from abattia:
By "win rate", do you mean "% winners" (i.e. winning trades as a percentage of all trades)?
If so, then (IMO) the rule misses a consideration of average winner from each system (and profit factor), which ought to be part of your ranking of alternative systems. No? You could have a very high win rate system with a dismal profit factor...
See http://www.istockanalyst.com/financ...t-the-win-rate-profit-factor-and-payoff-ratio
Starting with equation (3) of the above link, and taking r = "avg winner"/"avg loser", you could re-arrange to get ...
avg loser (i.e. what to risk each trade?) = (win rate x avg winner)/[ProfitFactor x (1-win rate)]
[Sorry .... had to re-edit this post, as made several algebraic errors first time .... ]
Quote from Ghost of Cutten:
If the win rate is low, risk 0.5-1%.
If the win rate is roughly evens, risk 1-2%
If the win rate is high, risk 2-4%
Any improvements on this, critiques etc?
Quote from logic_man:
The reason I approach it this way, though, is that I am completely confident that the "edge" I am using as the underlying rationale for each trade is completely rock-solid and enduring.
Quote from intradaybill:
You cannot talk about having an edge before you finally quit and take a look at your final P/L. Any intermediate gains may be just a deviation from the inevitable ruin.
"Edge" means I made money and I pocketed it. If you are still trading, anything you have pocketed may return back to the market. So you cannot still claim you have an edge.
If you have quit trading already and you made money, even if you made $1 in 20 years, I will admit you had an edge, even tiny. If you are still trading, you may have nothing.
Quote from maler:
Ghost, I think you need more than just the win rate to get a
handle on the distribution of drawdowns. That's because most
drawdowns are made up of several alternating loosing and
winning streaks.
Some rules of thumb for the expected maximum drawdown:
- if you have a positive expectation strategy, it will increase
with the log(number of trades)
- if you have a negative expectation strategy, it will increase
linearly with the number of trades
- after enough trades (law of large numbers applies) the shape
of the distribution of the maximum drawdown is determined mainly
by the average and standard deviation of the individual trades.
Higher order moments of the individual trade return distribution
like skew, kurtosis etc, have negligible effects
on the maximum drawdown distribution.
Quote from logic_man:
Mathematically, the only way to turn a relatively modest-sized bankroll into a huge bankroll is to have a positive expectancy system and exploit it for all it's worth, which certainly means risking more than 2-4% per trade. I've never seen minimizing drawdown as a valuable objective. Since drawdown is inevitable, the only constraint I put on it is that it not exceed 100%.
The reason I approach it this way, though, is that I am completely confident that the "edge" I am using as the underlying rationale for each trade is completely rock-solid and enduring. There is definitely a correlation between that feeling and the willingness to risk more per trade.
Quote from Ghost of Cutten:
If the win rate is low, risk 0.5-1%.
If the win rate is roughly evens, risk 1-2%
If the win rate is high, risk 2-4%
Any improvements on this, critiques etc?