Hi Traders,
In this week’s episode, our Senior Trader Nathan will be talking about a model that is a slight adaptation to one of the first systems he built when he started trading.
It takes advantage of fluctuations in the market and we focus on having tight stops and letting our winners run. We’ll use a number of different ideas to manage the position to ensure when we’re wrong we cut our losses and when we’re right we can let our winners run.
We hope you enjoy the episode.
In this week’s episode of Trading Talk, we build out the volatility function introduced in the previous episode and walk through the key formulas step by step. This session focuses on combining log returns, variance and standard deviation to construct a statistical framework that produces a Z-score volatility model.
This episode introduces the logic and purpose behind the Z-Lock. In next week’s Trading Talk, we will walk through the full build process and show how to implement the function inside Trade View X.
n Episode 406 of Trading Talk, we continue developing our trade management framework by introducing a breakout-based entry model and testing its performance through structured backtesting.
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Risk Warning: Trading leveraged products carries significant risks and is not suitable for all investors. Please ensure that you fully understand the risks involved before entering into any trades. You could lose substantially more than your initial deposit. Any information on this website is general in nature and does not take into account your financial situation, objectives or your needs. Hypothetical or Simulated performance results have certain limitations, unlike an actual performance record. Simulated results DO NOT represent actual trading. Also, since trades have not been executed the results may have under-or-over compensated for impact, if any, of certain market factors, such as lack of liquidity. Simulated Trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or loss similar to those shown.
