Hi Traders,
In this week’s episode of Trading Talk, systems trader Rory Killip will discuss how to set static levels in your models, how to test if these levels are working correctly and what to do once a breakout of these levels occurs.
We hope you enjoy this episode.
In Episode 411 of Trading Talk, we introduce our new internal Code Snippets library, designed to streamline the way traders build and modify algorithmic models.
In this week’s episode of Trading Talk, we combine two recent developments from previous sessions — the Z-Lock volatility function and the adaptive trade management system — to demonstrate how they can work together as a simple strategy framework.
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.
Trade View is an Authorised Representative of Trade View Investments who holds an Australian Financial Services License (AFSL) No. 510116 to carry on a financial services business in Australia, limited to its financial services covered by its AFSL. Trade View Pty Ltd. ABN 5163 3500 115 Authorised Representative No. 1279493 | All Rights Reserved.
Powered by Trade View Investments
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.
