This report analyzes the lowest exchange rate of Afghani (AFN) - Quetzal (GTQ). The sections include the comparison to other similar currency pairs and losses during the lowest rate date. Additionally, you will find a section that analyzes how low other stronger currencies against AFN have gone.
The time range of analysis of this report is between 2014-12-01 and 2018-10-01. We will update this report regularly once in about 2 to 3 months.
Below is a table of contents to help you navigate through the report.
- AFN/GTQ Lowest Exchange Rate
- 1-Week, 1-Month and 1-Year Losses During AFN/GTQ Lowest Rate
- Loss At Lowest Rate If You Had Bought Afghani (AFN) At Previous Highest Rate
- AFN/GTQ Lowest Rate Compared To 3 Of The Strongest Currencies
- AFN/GTQ Lowest Rate Compared To 3 Similar Currencies To Quetzal (GTQ)
- AFN to GTQ - Top 20 Monthly & Weekly Lowest Average Rates
Recommended Reading: AFN/GTQ highest rate report will help you look at the best performance of the currency pair in detail (for the same timeframe of analysis as this report).
1 AFN/GTQ Lowest Exchange Rate
The lowest rate for AFN/GTQ pair was 0.099800. The corresponding date was 2018-10-07. We will not just stop with mentioning the rate. Rather we will be using a common sense approach to assess the magnitude of the rate drop. The method is explained in the next paragraph.
We will begin by finding the year of occurrence of the lowest exchange rate. For that year, we will be computing the annual and monthly average rates. We will then compare both the averages against the lowest rate.
Below table lists the computed average rates as well as the difference between the lowest rate and the averages.
|Duration||Average Rate||Lowest Rate Vs Averages|
|Year (2018)||0.103658||-3.72 %|
|Month (10-2018)||0.100594||-0.79 %|
Below is a visual representation of the table you just saw. The below graph compares the average rates against the lowest rate of Afghani (AFN) - Quetzal (GTQ).
Below table shows daily rates on lowest month:
|Date||Close||One-day Gain (%)||Rate-Change From Past Day|
|1st October 2018||0.1002||0.000300 (0.30 %)|
|2nd October 2018||0.1002||0.000000 (0.00 %)||0 (0 %)|
|3rd October 2018||0.1001||-0.000100 (-0.10 %)||-0.0001 (-0.1 %)|
|4th October 2018||0.0998||-0.000300 (-0.30 %)||-0.0003 (-0.3 %)|
|5th October 2018||0.0998||0.000000 (0.00 %)||0 (0 %)|
|6th October 2018||0.0998||0.000000 (0.00 %)||0 (0 %)|
|7th October 2018||0.0998||0.000000 (0.00 %)||0 (0 %)|
|8th October 2018||0.1009||0.001100 (1.10 %)||0.0011 (1.1 %)|
|9th October 2018||0.1009||0.000000 (0.00 %)||0 (0 %)|
|10th October 2018||0.1009||0.000000 (0.00 %)||0 (0 %)|
|11th October 2018||0.1007||0.000400 (0.40 %)||-0.0002 (-0.2 %)|
|12th October 2018||0.1011||0.000400 (0.40 %)||0.0004 (0.4 %)|
|14th October 2018||0.1011||0.000000 (0.00 %)||0 (0 %)|
|15th October 2018||0.1014||-0.000100 (-0.10 %)||0.0003 (0.3 %)|
|16th October 2018||0.1014||0.000000 (0.00 %)||0 (0 %)|
|17th October 2018||0.1014||0.000000 (0.00 %)||0 (0 %)|
2 1-Week, 1-Month and 1-Year Losses During AFN/GTQ Lowest Rate
Someone who invested in Quetzal (GTQ) using Afghani (AFN) before the lowest rate day is bound to lose if he sold on that day. This section compares the losses one could have made by investing 1 week, 1 month and 1 year before the lowest exchange rate day.
Note: In case you see NA (Not Applicable) values in the below table that denotes a lack of data for the corresponding time range. For example, assume that the lowest rate was during the first week of the range of data used for this report. Then we will not be able to compute the value for someone who invested 1 year before.
Below table and graph represent the losses by investing in AFN/GTQ pair (subject to data availability) for 1 week, 1 month and 1 year before 2018-10-07.
|Days Before Lowest Close||Close (Rate)||Losses(%)|
|1 Week||2018-09-30||0.1002||-0.4 %|
|1 Month||2018-09-07||0.1019||-2.06 %|
|1 Year||2017-10-06||0.1069||-6.64 %|
Subject to data availability, below table summarizes the impact on a 1000 GTQ invested in AFN 1 week, 1 month and 1 year before the lowest close rate date.
|Days Before Lowest Rate||Losses(%)||What happens to 1000 GTQ invested?|
|1 Week||-0.4 %||996|
|1 Month||-2.06 %||979.4|
|1 Year||-6.64 %||933.6|
3 Loss At Lowest Rate If You Had Bought AFN At Previous Highest Rate
Buying at high and selling when low is worst case scenario for any Forex investor. This section helps you assess the potential damage for an investor who invested in AFN/GTQ during the highest rate day that occurred before the lowest rate day of 2018-10-07.
|Previous Highest Rate Date||Close (Rate)||Lowest Close Rate||Losses(%)|
Above table has shown the losses in percentage. Now let us check the impact on a 1000 GTQ invested. As per the loss percentage shown in the above table, the 1000 GTQ would have become 741.5.
4 AFN/GTQ Lowest Rate Compared To 3 Of The Strongest Currencies
Now let us compare the lowest rate of AFN/GTQ pair with three others formed by 3 of the strongest currencies against AFN. In other words, we will be analyzing 3 pairs with the selected strong currencies as quote currencies (denoted after the slash symbol.)
To pick the strongest currencies we follow a simple method. We just check those pairs with Afghani (AFN) as base currency (before slash symbol) which have exchange rates among the lowest for the recent 12 month period ending 2018-10-01. The corresponding quote currencies are among the strongest ones.
Now we are going to analyze the potential impact of the lowest rate on investments. There is no straightforward way to do it. However, we are going to do a simple analysis that will give you an idea of the potential losses. We are going to measure and compare the differences between the lowest rates and the average rates for the recent 12 month period between 2017-10-01 and 2018-10-01.
Recommended Reading: Have a look at the similar section in the AFN/GTQ highest rate report to learn more in detail about this method.
|Currency||Pair||Lowest Rate||Avg Rate||Lowest Vs Avg. Rates (%)||Difference (%)|
|Unidad de Fomento||AFN/CLF||0.000315||0.000332||-5.12||-0.78|
5 AFN/GTQ Lowest Rate Compared To 3 Similar Currencies To AFN
In this section we are going to compare the performance ofAFN/GTQ against similar rate pairs but with AFN as the base currency. In other words, the currency invested in will be the same in all the pairs under consideration. The range of observation is between 2014-12-01 and 2018-10-01
Below chart displays the lowest rates of GTQ as well as 3 other similar currencies against AFN.
Below table lists the lowest rates of the currency pairs and a simple comparison. The final column shows the percentage difference between the lowest rates.
Note: A negative difference (last column value) for a currency pair indicates that the pair had lesser magnitude lowest rate than AFN/AFN.
|Currency||Pair||Lowest Rate||Difference (%)|
|Hong Kong Dollar||AFN/HKD||0.102700||2.91|
|Solomon Islands Dollar||AFN/SBD||0.103900||4.11|
6 AFN to GTQ - Top 20 Monthly & Weekly Lowest Average Rates
This sections displays the monthly and weekly average lowest rates for the currency pair - AFN/GTQ.
Top 20 Month-wise Lowest Avg. Rates:
|Month-Year||Avg. Rate||Highest Rate (& Rate-Change From Avg.)||Lowest Rate (& Rate-Change From Avg.)|
|September-2018||0.101252||0.103100 (0.001848)||0.099900 (-0.001352)|
|October-2018||0.100594||0.101400 (0.000806)||0.099800 (-0.000794)|
|June-2018||0.102962||0.104600 (0.001638)||0.101900 (-0.001062)|
|May-2018||0.102974||0.104300 (0.001326)||0.101700 (-0.001274)|
|August-2018||0.103100||0.104200 (0.0011)||0.102500 (-0.0006)|
|July-2018||0.102656||0.103900 (0.001244)||0.101400 (-0.001256)|
|April-2018||0.104708||0.105600 (0.000892)||0.104100 (-0.000608)|
|December-2017||0.105640||0.106400 (0.00076)||0.105200 (-0.00044)|
|January-2018||0.105150||0.105600 (0.00045)||0.104000 (-0.00115)|
|March-2018||0.105874||0.106700 (0.000826)||0.105300 (-0.000574)|
|July-2017||0.106519||0.107400 (0.000881)||0.105900 (-0.000619)|
|August-2017||0.105796||0.106100 (0.000304)||0.105100 (-0.000696)|
|February-2018||0.105963||0.106400 (0.000437)||0.105400 (-0.000563)|
|November-2017||0.106567||0.107000 (0.000433)||0.106200 (-0.000367)|
|September-2017||0.106160||0.106800 (0.00064)||0.105800 (-0.00036)|
|October-2017||0.107152||0.107400 (0.000248)||0.106800 (-0.000352)|
|May-2017||0.107526||0.108200 (0.000674)||0.106900 (-0.000626)|
|June-2017||0.107408||0.107800 (0.000392)||0.107300 (-0.000108)|
|April-2017||0.108381||0.109700 (0.001319)||0.107900 (-0.000481)|
|July-2016||0.110625||0.114500 (0.003875)||0.109200 (-0.001425)|
Top 20 Weekly Lowest Avg. Rates:
|Week-Year||Avg. Rate||Highest Rate (& Rate-Change From Avg.)||Lowest Rate (& Rate-Change From Avg.)|
|Week 39-2018||0.100014||0.100200 (0.000186)||0.099800 (-0.000214)|
|Week 38-2018||0.100140||0.100500 (0.00036)||0.099900 (-0.00024)|
|Week 36-2018||0.101317||0.102100 (0.000783)||0.100200 (-0.001117)|
|Week 37-2018||0.101000||0.101300 (0.0003)||0.100600 (-0.0004)|
|Week 40-2018||0.100717||0.101100 (0.000383)||0.099800 (-0.000917)|
|Week 41-2018||0.101325||0.101400 (7.5E-5)||0.101100 (-0.000225)|
|Week 26-2018||0.101850||0.102700 (0.00085)||0.101600 (-0.00025)|
|Week 20-2018||0.102233||0.102700 (0.000467)||0.101700 (-0.000533)|
|Week 35-2018||0.102500||0.103100 (0.0006)||0.101900 (-0.0006)|
|Week 25-2018||0.102917||0.104200 (0.001283)||0.101900 (-0.001017)|
|Week 28-2018||0.102650||0.103200 (0.00055)||0.102000 (-0.00065)|
|Week 23-2018||0.102383||0.102600 (0.000217)||0.102200 (-0.000183)|
|Week 22-2018||0.102583||0.102800 (0.000217)||0.102300 (-0.000283)|
|Week 32-2018||0.102720||0.102900 (0.00018)||0.102500 (-0.00022)|
|Week 21-2018||0.102429||0.102800 (0.000371)||0.101700 (-0.000729)|
|Week 19-2018||0.102967||0.103600 (0.000633)||0.102600 (-0.000367)|
|Week 29-2018||0.103133||0.103700 (0.000567)||0.102300 (-0.000833)|
|Week 31-2018||0.103071||0.103600 (0.000529)||0.102800 (-0.000271)|
|Week 34-2018||0.103350||0.104200 (0.00085)||0.102900 (-0.00045)|
|Week 33-2018||0.103014||0.103300 (0.000286)||0.102500 (-0.000514)|
Hopefully, the report will help you in your forex investing
Recommended Reading: Learning the best and worst performances is just a part of the analysis. For a big picture, we strongly recommend you to go through the chart history of AFN-GTQ. We have applied a simple technique to smooth out the volatility in the graphs so that you can understand the entire analysis better.
We have validated the data to the best of our knowledge. If you find data inaccuracies kindly let us know using the contact form so that we can act promptly.