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Spencer Li

Market Seasonality and Patterns – When is the Best Month to Buy?

Market Analysis
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One aspect of market analysis is statistical analysis, which is using statistics to find correlations and patterns, where opportunities of skewed probabilities may lurk, giving you an edge over the market in the long run. For investors, this lets you know the best month to start building your portfolio, or to rebalance/adjust your portfolio allocation.

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Market Seasonality and Patterns – When is the Best Month to Buy?

Seasonality is a characteristic of a time series in which the data experiences regular and predictable changes which recur every calendar year. Any predictable change or pattern in a time series that recurs or repeats over a one-year period can be said to be seasonal.

This is different from cyclical effects, as seasonal cycles are contained within one calendar year, while cyclical effects (such as boosted sales due to low unemployment rates) can span time periods shorter or longer than one calendar year.

For the Singapore stock market, I have done a seasonality study, showing which months are more bullish and bearish. Contrary to popular belief, October is actually a rather bullish month. Every month has its unique characteristics, which skews the probability. As a trader,anything that tilts the probability in our favour is considered an edge.

Here are the results of my research:

Seasonality

Some key points to note: the best months for being LONG are April, November and December, while the best months for being SHORT are June, August and September.

There are many other patterns (some less obvious) which could have a significant impact on the stock market. Although your trading decisions should not be based solely on these, they can act as a powerful confirming indicator, or help you adjust your position-aggressiveness.



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4 Comments/by Spencer Li
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https://synapsetrading.com/wp-content/uploads/2019/10/logo.jpg 0 0 Spencer Li https://synapsetrading.com/wp-content/uploads/2019/10/logo.jpg Spencer Li2011-06-01 02:01:412020-02-10 12:01:37Market Seasonality and Patterns – When is the Best Month to Buy?
4 replies

Trackbacks & Pingbacks

  1. Portfolio Updates (March 2014) - Swing Trading Bonanza! - Synapse Trading says:
    December 19, 2019 at 6:44 pm

    […] Last month was quite an exciting month, with the markets lying quietly for the large part, before exploding upwards towards the end of the month. This could have been due to window dressing, or the seasonality factor. https://synapsetrading.com/2011/06/market-seasonality-and-statistics/ […]

    Reply
  2. Straits Times Index (STI) - A surprising surge of bullishness - Synapse Trading says:
    December 19, 2019 at 2:59 pm

    […] Some people have emailed me asking why my positions this time were smaller compared to my shorts the previous months. At this point, I would recommend readers to refer back to my previous blog posts, for example this post on seasonality. Although written 2 years back, it still remains highly relevant. https://synapsetrading.com/2011/06/market-seasonality-and-statistics/ […]

    Reply
  3. Portfolio Updates (March 2014) - Swing Trading Bonanza! - Synapse Trading says:
    April 4, 2014 at 5:34 am

    […] Last month was quite an exciting month, with the markets lying quietly for the large part, before exploding upwards towards the end of the month. This could have been due to window dressing, or the seasonality factor. https://synapsetrading.com/2011/06/market-seasonality-and-statistics/ […]

    Reply
  4. Daily Market Updates | Technical Analysis of Stock Indices | Straits Times Index - A surprising surge of bullishness | Synapse Trading says:
    August 11, 2013 at 7:26 pm

    […] Some people have emailed me asking why my positions this time were smaller compared to my shorts the previous months. At this point, I would recommend readers to refer back to my previous blog posts, for example this post on seasonality. Although written 2 years back, it still remains highly relevant. https://synapsetrading.com/2011/06/market-seasonality-and-statistics/ […]

    Reply

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