Malaysia FX Seasonality Dashboard
Analyse historical monthly exchange-rate movement patterns using Malaysia Open Data middle rates. Compare which months historically recorded stronger, weaker, more volatile, or more stable currency movements against the Malaysian Ringgit.
Data Status: Compiled up to 14 Oct 2026. Historical Dates Processed: 7,338 dates.
Historically Strongest Month
November
Highest average market directional move
Historically Weakest Month
February
Lowest average market directional move
Highest Volatility Month
March
Highest average absolute fluctuation
Lowest Volatility Month
July
Lowest average absolute fluctuation
Most Seasonal Currency
VND
Highest monthly consistency score
Monthly Seasonality Overview
| Month | Avg Daily Movement | Avg Absolute Movement | Standard Deviation | Observations | Positive Observations | Negative Observations | Strongest Currency | Weakest Currency | Highest Movement Currency |
|---|---|---|---|---|---|---|---|---|---|
| January | -0.011% | 0.415% | 0.844 | 516 days | 3,892 | 4,197 | THB | IDR | JPY |
| February | -0.022% | 0.408% | 0.856 | 459 days | 3,556 | 3,629 | IDR | KRW | JPY |
| March | 0.078% | 0.491% | 10.121 | 563 days | 4,195 | 4,592 | THB | JPY | THB |
| April | -0.003% | 0.331% | 0.491 | 546 days | 4,174 | 4,324 | CAD | INR | JPY |
| May | 0.013% | 0.393% | 1.228 | 518 days | 4,200 | 3,936 | CHF | CNY | IDR |
| June | 0.020% | 0.340% | 0.534 | 541 days | 4,357 | 4,099 | AUD | PHP | JPY |
| July | 0.006% | 0.316% | 0.477 | 567 days | 4,408 | 4,415 | KRW | INR | JPY |
| August | 0.012% | 0.346% | 0.539 | 548 days | 4,362 | 4,211 | JPY | INR | JPY |
| September | -0.002% | 0.376% | 0.618 | 525 days | 4,196 | 4,029 | INR | IDR | JPY |
| October | 0.009% | 0.369% | 0.679 | 545 days | 4,328 | 4,125 | IDR | CAD | AUD |
| November | 0.094% | 0.457% | 9.737 | 514 days | 4,104 | 3,914 | THB | INR | THB |
| December | 0.011% | 0.325% | 0.655 | 523 days | 4,168 | 3,930 | CHF | VND | KRW |
12-Month Seasonality Heatmap Grid (Average Absolute Fluctuation)
January
USD
0.28%
EUR
0.44%
GBP
0.49%
JPY
0.60%
CNY
0.26%
SGD
0.26%
THB
0.39%
IDR
0.56%
VND
0.26%
PHP
0.39%
BND
0.21%
AUD
0.55%
NZD
0.42%
CAD
0.45%
CHF
0.59%
KRW
0.46%
INR
0.31%
February
USD
0.29%
EUR
0.43%
GBP
0.54%
JPY
0.58%
CNY
0.25%
SGD
0.26%
THB
0.40%
IDR
0.51%
VND
0.29%
PHP
0.33%
BND
0.20%
AUD
0.56%
NZD
0.45%
CAD
0.45%
CHF
0.55%
KRW
0.45%
INR
0.29%
March
USD
0.24%
EUR
0.43%
GBP
0.45%
JPY
0.57%
CNY
0.23%
SGD
0.22%
THB
2.07%
IDR
0.46%
VND
0.28%
PHP
0.28%
BND
0.21%
AUD
0.52%
NZD
0.48%
CAD
0.40%
CHF
0.50%
KRW
0.43%
INR
0.30%
April
USD
0.20%
EUR
0.39%
GBP
0.37%
JPY
0.49%
CNY
0.21%
SGD
0.21%
THB
0.27%
IDR
0.40%
VND
0.23%
PHP
0.27%
BND
0.20%
AUD
0.46%
NZD
0.43%
CAD
0.34%
CHF
0.44%
KRW
0.38%
INR
0.30%
May
USD
0.27%
EUR
0.43%
GBP
0.43%
JPY
0.56%
CNY
0.54%
SGD
0.23%
THB
0.32%
IDR
0.57%
VND
0.29%
PHP
0.31%
BND
0.23%
AUD
0.47%
NZD
0.43%
CAD
0.36%
CHF
0.49%
KRW
0.40%
INR
0.29%
June
USD
0.24%
EUR
0.40%
GBP
0.43%
JPY
0.49%
CNY
0.27%
SGD
0.19%
THB
0.27%
IDR
0.44%
VND
0.27%
PHP
0.26%
BND
0.20%
AUD
0.48%
NZD
0.42%
CAD
0.36%
CHF
0.43%
KRW
0.35%
INR
0.25%
July
USD
0.19%
EUR
0.37%
GBP
0.39%
JPY
0.45%
CNY
0.21%
SGD
0.18%
THB
0.27%
IDR
0.40%
VND
0.21%
PHP
0.25%
BND
0.19%
AUD
0.44%
NZD
0.43%
CAD
0.33%
CHF
0.43%
KRW
0.36%
INR
0.25%
August
USD
0.23%
EUR
0.40%
GBP
0.40%
JPY
0.51%
CNY
0.25%
SGD
0.20%
THB
0.28%
IDR
0.44%
VND
0.25%
PHP
0.27%
BND
0.19%
AUD
0.47%
NZD
0.47%
CAD
0.36%
CHF
0.50%
KRW
0.33%
INR
0.31%
September
USD
0.26%
EUR
0.43%
GBP
0.47%
JPY
0.55%
CNY
0.29%
SGD
0.24%
THB
0.31%
IDR
0.48%
VND
0.26%
PHP
0.28%
BND
0.20%
AUD
0.47%
NZD
0.47%
CAD
0.37%
CHF
0.51%
KRW
0.44%
INR
0.33%
October
USD
0.24%
EUR
0.38%
GBP
0.47%
JPY
0.54%
CNY
0.26%
SGD
0.25%
THB
0.29%
IDR
0.48%
VND
0.25%
PHP
0.26%
BND
0.20%
AUD
0.54%
NZD
0.43%
CAD
0.40%
CHF
0.47%
KRW
0.47%
INR
0.28%
November
USD
0.23%
EUR
0.37%
GBP
0.41%
JPY
0.47%
CNY
0.25%
SGD
0.21%
THB
2.01%
IDR
0.42%
VND
0.31%
PHP
0.29%
BND
0.19%
AUD
0.47%
NZD
0.45%
CAD
0.37%
CHF
0.42%
KRW
0.37%
INR
0.32%
December
USD
0.20%
EUR
0.36%
GBP
0.42%
JPY
0.46%
CNY
0.21%
SGD
0.21%
THB
0.26%
IDR
0.32%
VND
0.23%
PHP
0.26%
BND
0.19%
AUD
0.40%
NZD
0.39%
CAD
0.34%
CHF
0.45%
KRW
0.51%
INR
0.28%
ASEAN Seasonality Dashboard Segment
| Month | SGD Avg | THB Avg | IDR Avg | VND Avg | PHP Avg | BND Avg |
|---|---|---|---|---|---|---|
| January | -0.002% | 0.033% | -0.126% | 0.000% | 0.007% | -0.017% |
| February | -0.024% | 0.016% | 0.036% | -0.034% | -0.015% | 0.012% |
| March | -0.014% | 1.397% | -0.026% | -0.024% | -0.006% | -0.006% |
| April | 0.015% | -0.024% | 0.007% | -0.039% | -0.028% | 0.006% |
| May | 0.017% | 0.016% | -0.021% | 0.039% | 0.025% | 0.024% |
| June | 0.025% | 0.003% | 0.004% | 0.006% | -0.020% | 0.014% |
| July | 0.012% | -0.012% | 0.030% | -0.012% | -0.012% | 0.012% |
| August | 0.023% | 0.031% | 0.016% | 0.010% | -0.014% | 0.007% |
| September | 0.008% | -0.015% | -0.056% | 0.016% | -0.026% | 0.014% |
| October | 0.021% | 0.023% | 0.051% | -0.015% | 0.008% | 0.014% |
| November | 0.001% | 1.452% | -0.023% | 0.003% | 0.024% | 0.004% |
| December | 0.015% | 0.002% | -0.005% | -0.030% | 0.007% | 0.000% |
Individual Currency Seasonality Profiles
US Dollar
(USD)
Historically Stronger Month
May
Historically Weaker Month
February
Most Volatile Window
February
Most Stable Window
July
Avg Abs Monthly Movement
0.242%
Monthly Consistency Index
50.0%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the US Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the US Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving USD may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Euro
(EUR)
Historically Stronger Month
December
Historically Weaker Month
January
Most Volatile Window
January
Most Stable Window
July
Avg Abs Monthly Movement
0.402%
Monthly Consistency Index
16.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Euro historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around December, while soft performance cycles align typically with January. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Euro historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around December, while soft performance cycles align typically with January. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving EUR may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
British Pound
(GBP)
Historically Stronger Month
June
Historically Weaker Month
February
Most Volatile Window
February
Most Stable Window
April
Avg Abs Monthly Movement
0.441%
Monthly Consistency Index
16.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the British Pound historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around June, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the British Pound historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around June, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving GBP may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Japanese Yen
(JPY)
Historically Stronger Month
August
Historically Weaker Month
February
Most Volatile Window
February
Most Stable Window
July
Avg Abs Monthly Movement
0.522%
Monthly Consistency Index
33.3%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Japanese Yen historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around August, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Japanese Yen historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around August, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving JPY may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Chinese Yuan
(CNY)
Historically Stronger Month
September
Historically Weaker Month
May
Most Volatile Window
May
Most Stable Window
July
Avg Abs Monthly Movement
0.270%
Monthly Consistency Index
41.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Chinese Yuan historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around September, while soft performance cycles align typically with May. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Chinese Yuan historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around September, while soft performance cycles align typically with May. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving CNY may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Singapore Dollar
(SGD)
Historically Stronger Month
June
Historically Weaker Month
February
Most Volatile Window
February
Most Stable Window
July
Avg Abs Monthly Movement
0.222%
Monthly Consistency Index
33.3%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Singapore Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around June, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Singapore Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around June, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving SGD may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Thai Baht
(THB)
Historically Stronger Month
November
Historically Weaker Month
April
Most Volatile Window
March
Most Stable Window
April
Avg Abs Monthly Movement
0.596%
Monthly Consistency Index
25.0%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Thai Baht historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around November, while soft performance cycles align typically with April. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Thai Baht historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around November, while soft performance cycles align typically with April. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving THB may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Indonesian Rupiah
(IDR)
Historically Stronger Month
October
Historically Weaker Month
January
Most Volatile Window
February
Most Stable Window
December
Avg Abs Monthly Movement
0.456%
Monthly Consistency Index
16.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Indonesian Rupiah historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around October, while soft performance cycles align typically with January. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Indonesian Rupiah historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around October, while soft performance cycles align typically with January. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving IDR may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Vietnamese Dong
(VND)
Historically Stronger Month
May
Historically Weaker Month
April
Most Volatile Window
November
Most Stable Window
July
Avg Abs Monthly Movement
0.261%
Monthly Consistency Index
58.3%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Vietnamese Dong historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with April. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Vietnamese Dong historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with April. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving VND may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Philippine Peso
(PHP)
Historically Stronger Month
May
Historically Weaker Month
April
Most Volatile Window
January
Most Stable Window
July
Avg Abs Monthly Movement
0.287%
Monthly Consistency Index
41.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Philippine Peso historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with April. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Philippine Peso historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with April. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving PHP may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Brunei Dollar
(BND)
Historically Stronger Month
May
Historically Weaker Month
January
Most Volatile Window
May
Most Stable Window
July
Avg Abs Monthly Movement
0.201%
Monthly Consistency Index
16.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Brunei Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with January. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Brunei Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with January. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving BND may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Australian Dollar
(AUD)
Historically Stronger Month
June
Historically Weaker Month
September
Most Volatile Window
February
Most Stable Window
December
Avg Abs Monthly Movement
0.487%
Monthly Consistency Index
33.3%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Australian Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around June, while soft performance cycles align typically with September. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Australian Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around June, while soft performance cycles align typically with September. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving AUD may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
New Zealand Dollar
(NZD)
Historically Stronger Month
December
Historically Weaker Month
August
Most Volatile Window
March
Most Stable Window
December
Avg Abs Monthly Movement
0.439%
Monthly Consistency Index
41.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the New Zealand Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around December, while soft performance cycles align typically with August. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the New Zealand Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around December, while soft performance cycles align typically with August. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving NZD may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Canadian Dollar
(CAD)
Historically Stronger Month
May
Historically Weaker Month
October
Most Volatile Window
February
Most Stable Window
April
Avg Abs Monthly Movement
0.377%
Monthly Consistency Index
8.3%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Canadian Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with October. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Canadian Dollar historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around May, while soft performance cycles align typically with October. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving CAD may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Swiss Franc
(CHF)
Historically Stronger Month
December
Historically Weaker Month
February
Most Volatile Window
January
Most Stable Window
July
Avg Abs Monthly Movement
0.482%
Monthly Consistency Index
33.3%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Swiss Franc historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around December, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Swiss Franc historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around December, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving CHF may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
South Korean Won
(KRW)
Historically Stronger Month
July
Historically Weaker Month
February
Most Volatile Window
December
Most Stable Window
August
Avg Abs Monthly Movement
0.413%
Monthly Consistency Index
16.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the South Korean Won historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around July, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the South Korean Won historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around July, while soft performance cycles align typically with February. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving KRW may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Indian Rupee
(INR)
Historically Stronger Month
September
Historically Weaker Month
August
Most Volatile Window
September
Most Stable Window
July
Avg Abs Monthly Movement
0.294%
Monthly Consistency Index
16.7%
Business Seasonality Interpretation:
Based on past middle-rate observations within the available dataset, the Indian Rupee historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around September, while soft performance cycles align typically with August. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Based on past middle-rate observations within the available dataset, the Indian Rupee historically shows recurrent distribution characteristics during specific calendar segments. Its highest historical acceleration trends cluster around September, while soft performance cycles align typically with August. These distributions document historical tendencies and are not intended to serve as forward indicators or predictive patterns.
Business Payment Planning Guidance
Corporate treasuries reviewing transaction timelines involving INR may reference these structured historical distribution records to analyze cyclical volatility variations. When coordinating settlement windows, consider these data segments alongside immediate operational needs. Do not rely on seasonal trends to ensure future currency performance or specific trading metrics.
Exchange-rate parameters are processed directly using Malaysia Open Data middle exchange-rate data. Calculated indicators represent historical summary patterns within the available data window and do not represent transactional quotes, commercial conversion values, forward guarantees, financial advice, or predictive models. Past distribution behaviors do not guarantee future movement or definitive asset trends.
Why Monitor FX Seasonality?
Exchange-rate movements can vary across different months of the year. A seasonality dashboard helps businesses compare historical monthly patterns and understand whether certain months have historically shown stronger movement, weaker movement, higher volatility, or more stable currency behaviour.
For exporters, importers, procurement teams, logistics companies, and finance departments, this can provide useful context when reviewing payment timing, foreign-currency receipts, supplier settlements, and internal treasury planning.
Seasonality analysis is historical only. It should not be treated as a forecast, trading signal, or guarantee that future exchange-rate behaviour will follow past monthly patterns.
How to Interpret This Dashboard
A stronger month means the selected currency historically recorded higher average movement against MYR during that calendar month within the available dataset. A weaker month means the currency historically recorded lower average movement or more negative average movement during that month.
Average absolute movement measures the size of movement regardless of direction. This helps identify months that were historically more active even if the direction varied from year to year.
Use this dashboard together with actual bank quotations, commercial exchange rates, payment terms, trade exposure, and internal risk-management policies before making business decisions.
Data Notice: This dashboard uses middle exchange-rate data obtained from Malaysia Open Data. Results are provided for general business reference only and do not represent commercial buying rates, selling rates, remittance rates, treasury quotations, card rates, money changer rates, financial advice, forecasts, or proof of future currency movement.