Hi Traders,
In this episode, our Senior Trader Matt builds a position sizing function and shows you how it works in one of his models.
This is a function a lot of traders have asked for so that they can calculate lot size based on previous volatility.
We hope you enjoy the episode.
In this episode we create a multi timeframe trading signal, using the Oversold condition on the Daily RSI, combined with the breakout signal on the hourly timeframe, which helps pinpoint a high probability signal.
In this episode, we will check in on the previous versions of the model that we have been working on since episode 365, which are looking good right now.
In this episode we analyse the trading model and find that when the strategy takes trades later in the day they are less successful, compared to when taking them earlier in the trading day.
With this information we create a Trading Session function that helps limit the time of the day that the strategy can trade, in doing this the model takes less trades and increases the win rate %.
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.
