The general idea is that
it is less
important to be right than to protect from being wrong. The first stone
risk management is a suitable money
Some complements below.
Diversification is not and should not be an excuse for indecision. Our point of view is that it is better to diversify in strategies based on different logics than to diversify in a calculated number of stocks or sectors. The home page gives examples of strategies with very different logics.
Leverage and Stops
The choice of leveraging
take into account the maximum drawdown and a security margin.
Stops are necessary for traders managing leveraged positions, but may be inefficient on the long term for investors. A tight stop may transform a strategy from a winner into a loser.
Simulation and experience tell us than even a very good strategy may have a 30% drawdown and stay in negative territory during months. It is easy to imagine and harder to live. It's better to invest less money than giving up under pressure with a good strategy. Without a long term vision, the short term makes no sense.
The Luck Factor
Luck does exist. With the same probability to win (p) and the same average win/average loss ratio (w/l), your account may experience very, very different possible futures. Example with w/l=1,4 and p=50%:
That is why we select only strategies that have a clearly oriented and focused beam of possible paths. Just like this Strategy:
Going further in risk
evaluation, we use probabilistic indicators taking into account the
data sample size:
p95: probability with a 5% error (real probability has a 95% chance to be higher).
K95: Kelly criterion for p95.
Every model is an approximate representation of a real phenomenon. It is impossible to reduce the risk to zero, but it is possible to detect when a strategy goes out of its model's normal limit.
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