Subtitle: Revealing Momentum and Seasonal Patterns Based on 18.5 Years of Daily Exchange Rates

Author: George M. Protonotarios



Fundamental analysis and statistics create a unified area of researching and analyzing the behavior of global financial markets. Fundamental analysis investigates the ‘Cause’ of macroeconomic events, while statistics and technical analysis examine their ‘Effect’ on the global financial markets.

Trading statistics is the business of analyzing past price data and identifying recognizable price patterns which may lead to high-probability trends. The book aims to reveal major seasonal and momentum patterns in the Foreign Exchange market, behind 18.5 years of daily data. Due to the nature of the global monetary system, currencies tend to follow seasonal patterns. The dynamics of demand/supply change in accordance with time. There are certain months of the calendar year when specific trends tend to emerge. This happens as large institutional investors do the same thing every single year. The book reveals patterns for 15 Forex pairs: EURUSD, GBPUSD, USDJPY, USDCHF, USDCAD, AUDUSD, NZDUSD, EURGBP, EURCHF, EURJPY, EURCAD, EURAUD, EURNZD, GBPJPY, and GBPCHF.



Through extensive data analysis, a new indicator is introduced (ΔMP). This indicator is formed by summarizing the historical divergence between closing rates and intraday ranges. The mission of ΔMP is to measure and illustrate the historical momentum of each Forex pair. ΔMP charts are drawn, including Linear and Polynomial trendlines, plus R-Squared (R²). Overall, there are more than 100 charts presenting seasonal and momentum trends. The book also contains other useful trading resources such as best times to trade and historical correlations between Forex pairs. Correlation analysis measures the relationship between two numerical variables. In our analysis, these variables are the daily closing rates of 15 Foreign Exchange pairs for two periods: 18.5 years and 5 years.

Information is power when trading Forex, and seasonal and momentum analysis creates an important piece of information, offering extra probability points. Adding seasonality to the trading process can provide trading ideas, confirm trades, and assist in better timing trades.


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  1. EURUSD -European Currency against the United States Dollar
  2. GBPUSD -British Pound Sterling against the United States Dollar
  3. USDJPY -United States Dollar against the Japanese Yen
  4. USDCHF -United States Dollar against the Swiss Franc
  5. USDCAD -United States Dollar against the Canadian Dollar
  6. AUDUSD -Australian Dollar against the United States Dollar
  7. NZDUSD -New Zealand Dollar against the United States Dollar
  8. EURGBP -European Currency against the British Pound Sterling
  9. EURCHF -European Currency against the Swiss Franc
  10. EURJPY -European Currency against the Japanese Yen
  11. EURCAD -European Currency against the Canadian Dollar
  12. EURAUD -European Currency against the Australian Dollar
  13. EURNZD -European Currency against the New Zealand Dollar
  14. GBPJPY -British Pound Sterling against the Japanese Yen
  15. GBPCHF -British Pound Sterling against the Swiss Franc


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■ The Hidden Patterns Behind 15 Forex Pairs


MORE BOOKS: ► Think Like a Whale Trade as a Shark | ► Cryptocurrency Trading Guide | ► Trading Using Phi and the Fibonacci Numbers

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