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MRM (Micro Risk Mitigation) Module

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 Brian Miller, Co Owner at Optimized Trading llc and Optimized Investments llc (Head Quantitative & Algorithmic Developer)

 Tuesday, August 18, 2015

The MRM's objective is to mitigate risks by, reducing gross loss, Max DD, MAE, deviations between Realized & Unrealized performance, and increase NetPft. The MRM can be set to have primary control over Entry, Profit & Loss Exit, and Money Management criteria/logic/executions.


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6 comments on article "MRM (Micro Risk Mitigation) Module"

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 Barry Ziskin, Owner, Ziskin Asset Management Inc.; visionary entrepreneur and investor

 Monday, August 24, 2015



Brian -

Thank you!

Maybe we should talk.

Where is the best place to reach you?

- Barry


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 Brian Miller, Partner at Optimized Trading llc and Optimized Investments llc (Head Quantitative & Algorithmic Developer)

 Monday, August 24, 2015



Shoot me a PM here on linkedin


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 Mark Brown mark@markbrown.com, Global Quantitative Financial Research, International Institutional Trading, Algorithmic Modeling.

 Saturday, September 26, 2015



in my testing i have seen equity curves like that, they come from systems which take very small profits with large risk and a high frequency of trades. m


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 Brian Miller, Partner at Optimized Trading llc and Optimized Investments llc (Head Quantitative & Algorithmic Developer)

 Monday, September 28, 2015



If you read the entire post, I show more Equity Curves, of both Realized and Unrealized(open position). We do place a high value/weight on Trade Frequency, as it offers many benefits, but our Profit Targets are Dynamically adjusted to obtain optimal return, per trade basis, and all logic conforms/adapts to current/changing price activity. The objective of the MRM Control Module is to mitigate/control many aspects of risks( Reduce Max DD, Gross Loss, MAE, draw down frequency & depth, etc).

We do not deploy systems or models that will hold massive open position losses, simply to profit a small amount.

Keep in mind, these are all individual models/systems, and we do not trade individual models/systems. We insert many individual systems/models within our IMM Control Module, and the IMM activates and trades the optimal model/system. Which improves our systems ability to adapt to and exploit many different conditions & behaviors. None of our complete IMM_Systems correlate return or risks to a single model, system, edge, condition, or bias. Also we deploy adaptive/dynamic processes/logic into every phase of systematic development, as we also place a heavy weight on strength of adaptability.

Deploying individual models with good trade frequency, allows us to more quickly identify the differences between normal systematic draw downs, and conditions not optimal for that specific model. We also want to keep the Law of Numbers on our side, to also reduce the risk of curve fitting, per model basis. We maintain a balance of high trade frequency, good avg profit per trade, win/low ratio, etc.

If you have any questions regarding our IMM_Systems, shoot me a PM or email anytime

Thanks

B


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 Paul B., MD at Brimstone Create

 Wednesday, September 30, 2015



Hi Brian. What percentage profit did you realize in 2014?


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 Brian Miller, Partner at Optimized Trading llc and Optimized Investments llc (Head Quantitative & Algorithmic Developer)

 Wednesday, September 30, 2015



Can you be a little more specific. Do you want % from a specific market, system, swing or scalp, or entire portfolio?? Do you want % from system's required initial investment?

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