Hi guys,
In this video I go through what are "seasonal tendencies", and how you can implement it into your analysis and strategy(ies).
Seasonal tendencies in the context of financial markets are basically what the particular market or asset has historically done throughout the years in terms of bullish or bearish movement. For example, in April-May the US Dollar is usually bearish, and from May-June it is usually bullish. This is useful information because it can add confluence to your bias/analysis. However, you do not want to solely use this information as a reason to get into a trade. The data is based on the past, and is not indicative to the present/future and also does not represent how much a market or asset can move because the data is only measured relative to what it has previously done. The best approach is to use this as an additional thumbs up if it coincides with your analysis, and if it does, then it allows you to be a bit more cautious or risk averse.
A simple analogy is the weather. If you were planning a holiday to Thailand for a sunny getaway, the best times would be from March to July. Most likely you are not going to book a holiday in November during the monsoon season, unless you actually wanted it to rain every day. However, some years have had very little to no rain during the monsoon season. That being said, you would most likely choose to go during a time that seasonally has hot and sunny weather. This is how you can use seasonal tendencies to add an additional layer to your analysis.
I hope that was insightful and gave you some ideas to test if you've never heard of seasonal tendencies. You can implement this both as a technical or fundamental analyst (or both).
Til next time, happy trading.
- R2F
In this video I go through what are "seasonal tendencies", and how you can implement it into your analysis and strategy(ies).
Seasonal tendencies in the context of financial markets are basically what the particular market or asset has historically done throughout the years in terms of bullish or bearish movement. For example, in April-May the US Dollar is usually bearish, and from May-June it is usually bullish. This is useful information because it can add confluence to your bias/analysis. However, you do not want to solely use this information as a reason to get into a trade. The data is based on the past, and is not indicative to the present/future and also does not represent how much a market or asset can move because the data is only measured relative to what it has previously done. The best approach is to use this as an additional thumbs up if it coincides with your analysis, and if it does, then it allows you to be a bit more cautious or risk averse.
A simple analogy is the weather. If you were planning a holiday to Thailand for a sunny getaway, the best times would be from March to July. Most likely you are not going to book a holiday in November during the monsoon season, unless you actually wanted it to rain every day. However, some years have had very little to no rain during the monsoon season. That being said, you would most likely choose to go during a time that seasonally has hot and sunny weather. This is how you can use seasonal tendencies to add an additional layer to your analysis.
I hope that was insightful and gave you some ideas to test if you've never heard of seasonal tendencies. You can implement this both as a technical or fundamental analyst (or both).
Til next time, happy trading.
- R2F
R2F