12 FX Data Analysis
Interfaces implemented in this chapter are listed below; uncovered indicators are noted under “To be added” at the end.
Foreign exchange reserves (100 million USD)
Interface: macro_china_fx_reserves_yearly
Source URL: https://datacenter.jin10.com/reportType/dc_chinese_fx_reserves
Description: China annual FX reserves; data from 20140115 to present
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Item | object | - |
| Date | object | - |
| Actual | float64 | Unit: 100 million USD |
| Forecast | float64 | Unit: 100 million USD |
| Previous | float64 | Unit: 100 million USD |
Example
import meshare as ms
macro_china_fx_reserves_yearly_df = ms.macro_china_fx_reserves_yearly()
print(macro_china_fx_reserves_yearly_df)
Sample data
Item Date Actual Forecast Previous
0 China FX reserves report 2014-01-15 38200.0 38000.0 36600
1 China FX reserves report 2014-07-15 39900.0 39800.0 39500
2 China FX reserves report 2015-01-15 38400.0 39000.0 39900
3 China FX reserves report 2016-03-07 32000.0 31900.0 32300
4 China FX reserves report 2016-04-07 32100.0 32100.0 32000
.. ... ... ... ... ...
106 China FX reserves report 2023-12-07 31720.0 31200.0 31010
107 China FX reserves report 2024-01-07 32380.0 32000.0 31720
108 China FX reserves report 2024-02-07 32190.0 32170.0 32380
109 China FX reserves report 2024-03-07 32260.0 32050.0 32190
110 China FX reserves report 2024-04-07 NaN NaN 32260
[111 rows x 5 columns]
RMB central parity report
Interface: macro_china_rmb
Source URL: https://datacenter.jin10.com/reportType/dc_rmb_data
Description: China RMB central parity report; data from 20170103–20210513
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Date | object | Date |
| USD/CNY_Mid | float64 | - |
| USD/CNY_Change | float64 | Unit: points |
| EUR/CNY_Mid | float64 | - |
| EUR/CNY_Change | float64 | Unit: points |
| 100JPY/CNY_Mid | float64 | - |
| 100JPY/CNY_Change | float64 | Unit: points |
| HKD/CNY_Mid | float64 | - |
| HKD/CNY_Change | float64 | Unit: points |
| GBP/CNY_Mid | float64 | - |
| GBP/CNY_Change | float64 | Unit: points |
| AUD/CNY_Mid | float64 | - |
| AUD/CNY_Change | float64 | Unit: points |
| NZD/CNY_Mid | float64 | - |
| NZD/CNY_Change | float64 | Unit: points |
| SGD/CNY_Mid | float64 | - |
| SGD/CNY_Change | float64 | Unit: points |
| CHF/CNY_Mid | float64 | - |
| CHF/CNY_Change | float64 | Unit: points |
| CAD/CNY_Mid | float64 | - |
| CAD/CNY_Change | float64 | Unit: points |
| CNY/MYR_Mid | float64 | - |
| CNY/MYR_Change | float64 | Unit: points |
| CNY/RUB_Mid | float64 | - |
| CNY/RUB_Change | float64 | Unit: points |
| CNY/ZAR_Mid | float64 | - |
| CNY/ZAR_Change | float64 | Unit: points |
| CNY/KRW_Mid | float64 | - |
| CNY/KRW_Change | float64 | Unit: points |
| CNY/AED_Mid | float64 | - |
| CNY/AED_Change | float64 | Unit: points |
| CNY/SAR_Mid | float64 | - |
| CNY/SAR_Change | float64 | Unit: points |
| CNY/HUF_Mid | float64 | - |
| CNY/HUF_Change | float64 | Unit: points |
| CNY/PLN_Mid | float64 | - |
| CNY/PLN_Change | float64 | Unit: points |
| CNY/DKK_Mid | float64 | - |
| CNY/DKK_Change | float64 | Unit: points |
| CNY/SEK_Mid | float64 | - |
| CNY/SEK_Change | float64 | Unit: points |
| CNY/NOK_Mid | float64 | - |
| CNY/NOK_Change | float64 | Unit: points |
| CNY/TRY_Mid | float64 | - |
| CNY/TRY_Change | float64 | Unit: points |
| CNY/MXN_Mid | float64 | - |
| CNY/MXN_Change | float64 | Unit: points |
| CNY/THB_Mid | float64 | - |
| CNY/THB_Change | float64 | Unit: points |
Example
import meshare as ms
macro_china_rmb_df = ms.macro_china_rmb()
print(macro_china_rmb_df)
Sample data
Date USD/CNY_Mid USD/CNY_Change ... CNY/MXN_Change CNY/THB_Fix CNY/THB_Change
0 2018-02-06 6.3072 0.0 ... 0.0 5.0191 0.0
1 2018-02-07 6.2882 -190.0 ... -184.0 5.0178 -13.0
2 2018-02-08 6.2822 -60.0 ... 286.0 5.0429 251.0
3 2018-02-09 6.3194 372.0 ... -64.0 5.0406 -23.0
4 2018-02-12 6.3001 -193.0 ... -146.0 5.0310 -96.0
.. ... ... ... ... ... ... ...
786 2021-05-07 6.4678 -217.0 ... -118.0 4.8283 310.0
787 2021-05-10 6.4425 -253.0 ... -171.0 4.8333 50.0
788 2021-05-11 6.4254 -171.0 ... 85.0 4.8434 101.0
789 2021-05-12 6.4258 4.0 ... 65.0 4.8503 69.0
790 2021-05-13 6.4612 354.0 ... 107.0 4.8427 -76.0
FDI data
Interface: macro_china_fdi
Source URL: https://data.eastmoney.com/cjsj/fdi.html
Description: East Money — economic data overview — China — FDI; data from 200801–202307
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Month | object | - |
| Current month | int64 | - |
| Current month-YoY | float64 | Unit: USD |
| Current month-MoM | float64 | Unit: % |
| Cumulative | float64 | Unit: USD |
| Cumulative-YoY | float64 | Unit: % |
Example
import meshare as ms
macro_china_fdi_df = ms.macro_china_fdi()
print(macro_china_fdi_df)
Sample data
Month Current month Current month-YoY Current month-MoM Cumulative Cumulative-YoY
0 Jan 2008 11200250.0 116.422424 -14.460445 11200250 109.78
1 Feb 2008 6928190.0 52.801205 -38.142541 18128440 75.19
2 Mar 2008 9285600.0 50.171752 34.026347 27414040 61.26
3 Apr 2008 7602890.0 70.214971 -18.121715 35016930 59.32
4 May 2008 7760960.0 58.421856 2.079078 42777890 54.97
.. ... ... ... ... ... ...
180 Jan 2023 19020000.0 20.075758 72.126697 19020000 10.00
181 Feb 2023 20690000.0 -6.039964 8.780231 39710000 1.00
182 Apr 2023 NaN NaN NaN 73500000 -3.30
183 May 2023 10850000.0 -18.421053 NaN 84350000 -5.60
184 Jul 2023 NaN NaN NaN 111800000 -9.80
[185 rows x 6 columns]
PBOC gold and FX reserves
Interface: macro_china_foreign_exchange_gold
Source URL: http://finance.sina.com.cn/mac/#fininfo-5-0-31-2
Description: NBS — PBOC gold and FX reserves; longer history than the East Money interface
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Period | object | Year-month |
| Gold reserves | float64 | Unit: 10,000 oz |
| National FX reserves | float64 | Unit: 100 million USD |
Example
import meshare as ms
macro_china_foreign_exchange_gold_df = ms.macro_china_foreign_exchange_gold()
print(macro_china_foreign_exchange_gold_df)
Sample data
Period Gold reserves National FX reserves
0 1978.12 1280.00 1.67
1 1979.12 1280.00 8.40
2 1980.12 1280.00 -12.96
3 1981.12 1267.00 27.08
4 1982.12 1267.00 69.86
.. ... ... ...
384 2023.7 6869.00 32042.70
385 2023.8 6962.00 31600.98
386 2023.9 7046.00 31150.70
387 2024.1 7219.00 32193.20
388 2024.2 7258.00 32258.17
[389 rows x 3 columns]
FX and gold reserves
Interface: macro_china_fx_gold
Source URL: http://data.eastmoney.com/cjsj/hjwh.html
Description: China FX and gold reserves; monthly data from 200801 to present
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Month | object | Year and month |
| Gold reserves-Value | float64 | Unit: 10,000 oz |
| Gold reserves-YoY | float64 | Unit: 10,000 oz |
| Gold reserves-MoM | float64 | Unit: 10,000 oz |
| National FX reserves-Value | float64 | Unit: 100 million USD |
| National FX reserves-YoY | float64 | Unit: 100 million USD |
| National FX reserves-MoM | float64 | Unit: 100 million USD |
Example
import meshare as ms
macro_china_fx_gold_df = ms.macro_china_fx_gold()
print(macro_china_fx_gold_df)
Sample data
Month Gold reserves-Value Gold reserves-YoY Gold reserves-MoM National FX reserves-Value National FX reserves-YoY National FX reserves-MoM
0 Jan 2008 NaN NaN NaN 15898.1040 43.914387 4.028224
1 Feb 2008 NaN NaN NaN 16471.3371 42.316677 3.605670
2 Mar 2008 NaN NaN NaN 16821.7700 39.944557 2.127532
3 Apr 2008 NaN NaN NaN 17566.5514 40.919594 4.427485
4 May 2008 NaN NaN NaN 17969.6074 39.011455 2.294451
.. ... ... ... ... ... ... ...
170 Mar 2022 1216.63 14.849008 1.690906 31879.9400 0.566714 -0.803808
171 Apr 2022 1197.31 8.126829 -1.587993 31197.2000 -2.453270 -2.141598
172 May 2022 1151.83 -3.223828 -3.798515 31277.8000 -2.918335 0.258357
173 Jun 2022 1138.23 3.053871 -1.180730 30712.7200 -4.441119 -1.806649
174 Jul 2022 1098.39 -3.963383 -3.500171 31040.7100 -4.073655 1.067929
RMB central parity
Interface: currency_boc_safe
Source URL: https://www.safe.gov.cn/safe/rmbhlzjj/index.html
Description: SAFE — RMB central parity
Limits: Returns all historical data in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Date | object | - |
| USD | float64 | - |
| EUR | float64 | - |
| JPY | float64 | - |
| HKD | float64 | - |
| GBP | float64 | - |
| MYR | float64 | - |
| RUB | float64 | - |
| AUD | float64 | - |
| CAD | float64 | - |
| NZD | float64 | - |
| SGD | float64 | - |
| CHF | float64 | - |
| ZAR | float64 | - |
| KRW | float64 | - |
| AED | float64 | - |
| SAR | float64 | - |
| HUF | float64 | - |
| PLN | float64 | - |
| DKK | float64 | - |
| SEK | float64 | - |
| NOK | float64 | - |
| TRY | float64 | - |
| MXN | float64 | - |
| THB | float64 | - |
P.S. Central parities of RMB vs MYR, RUB, ZAR, KRW, AED, SAR, HUF, PLN, DKK, SEK, NOK, TRY, MXN, and THB use the indirect quotation (foreign currency per 100 RMB). Central parities vs the other 10 currencies use the direct quotation (RMB per 100 units of foreign currency).
Example
import meshare as ms
currency_boc_safe_df = ms.currency_boc_safe()
print(currency_boc_safe_df)
Sample data
Date USD EUR JPY ... NOK TRY MXN THB
0 1994-01-01 870.00 NaN 7.7800 ... NaN NaN NaN NaN
1 1994-01-03 870.00 NaN 7.7800 ... NaN NaN NaN NaN
2 1994-01-04 870.00 NaN 7.7196 ... NaN NaN NaN NaN
3 1994-01-05 870.00 NaN 7.7196 ... NaN NaN NaN NaN
4 1994-01-06 870.00 NaN 7.7196 ... NaN NaN NaN NaN
... ... ... ... ... ... ... ... ...
7318 2023-09-11 721.48 781.40 4.9710 ... 145.79 368.808 242.47 484.82
7319 2023-09-12 719.86 779.52 4.9573 ... 146.60 371.740 239.65 487.87
7320 2023-09-13 718.94 779.19 4.9356 ... 147.20 372.274 238.83 489.51
7321 2023-09-14 718.74 776.11 4.9174 ... 148.01 372.886 238.35 492.54
7322 2023-09-15 717.86 768.65 4.9064 ... 148.78 373.622 237.86 493.03
[7323 rows x 25 columns]
RMB quoted rates
Interface: currency_boc_sina
Source URL: https://biz.finance.sina.com.cn/forex/forex.php?startdate=2012-01-01&enddate=2021-06-14&money_code=EUR&type=0
Description: Sina Finance — Bank of China RMB quoted rates history
Limits: Returns all historical data for the specified date range in a single call
Input
| Name | Type | Description |
|---|---|---|
| symbol | str | Chinese API labels, e.g. symbol="美元" (USD); choice of {'美元','英镑','欧元','澳门元','泰国铢','菲律宾比索','港币','瑞士法郎','新加坡元','瑞典克朗','丹麦克朗','挪威克朗','日元','加拿大元','澳大利亚元','新西兰元','韩国元'} |
| start_date | str | start_date="20230304"; start–end span must exceed 6 months |
| end_date | str | end_date="20231110"; start–end span must exceed 6 months |
Output
| Name | Type | Description |
|---|---|---|
| Date | object | - |
| BOC remittance buy | float64 | Unit: yuan |
| BOC cash buy | float64 | Unit: yuan |
| BOC cash sell / remittance sell | float64 | Unit: yuan |
| PBOC mid rate | float64 | Unit: yuan |
Example
import meshare as ms
currency_boc_sina_df = ms.currency_boc_sina(symbol="美元", start_date="20230304", end_date="20231110")
print(currency_boc_sina_df)
Sample data
Date BOC remittance buy BOC cash buy BOC cash sell / remittance sell PBOC mid rate
0 2023-03-06 691.80 686.17 694.73 689.51
1 2023-03-07 694.49 688.84 697.44 691.56
2 2023-03-08 693.49 687.85 696.43 695.25
3 2023-03-09 695.04 689.39 697.99 696.66
4 2023-03-10 689.70 684.09 692.62 696.55
.. ... ... ... ... ...
175 2023-11-06 725.83 725.67 728.73 717.80
176 2023-11-07 726.73 726.57 729.63 717.76
177 2023-11-08 726.73 726.57 729.63 717.73
178 2023-11-09 727.28 727.12 730.18 717.72
179 2023-11-10 727.93 727.77 730.83 717.71
[180 rows x 5 columns]
Real-time quotes
Interface: forex_spot_em
Source URL: https://quote.eastmoney.com/center/gridlist.html#forex_all
Description: East Money — quotes center — FX market — all rates — real-time quotes
Limits: Returns all real-time quotes in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| No. | int64 | - |
| Code | object | - |
| Name | object | - |
| Latest | float64 | - |
| Change | float64 | - |
| Change % | float64 | - |
| Open | float64 | - |
| High | float64 | - |
| Low | float64 | - |
| Prev close | float64 | - |
Example
import meshare as ms
forex_spot_em_df = ms.forex_spot_em()
print(forex_spot_em_df)
Sample data
No. Code Name ... High Low Prev close
0 1 USDZAR USD/ZAR ... 17.7123 17.5129 17.5916
1 2 HKDJPY HKD/JPY ... 18.3602 18.2621 18.2684
2 3 USDJPY USD/JPY ... 144.1268 143.3220 143.4055
3 4 CADJPY CAD/JPY ... 105.5900 105.0575 105.0855
4 5 CNHJPY CNH/JPY ... 20.1081 20.0145 20.0260
.. ... ... ... ... ... ... ...
185 186 JPYHKD 100JPY/HKD ... 5.4757 5.4466 5.4739
186 187 JPYTRY 100JPY/TRY ... 27.7972 27.6140 27.7796
187 188 CNYZARC CNY/ZAR mid ... 2.4602 2.4602 2.4773
188 189 ZARUSD ZAR/USD ... 0.0569 0.0565 0.0569
189 190 HUFUSD HUF/USD ... 0.0030 0.0029 0.0030
[190 rows x 10 columns]
Historical quotes
Interface: forex_hist_em
Source URL: https://quote.eastmoney.com/cnyrate/EURCNYC.html
Description: East Money — quotes center — FX market — all rates — historical quotes
Limits: Returns historical quotes for the specified symbol in a single call
Input
| Name | Type | Description |
|---|---|---|
| symbol | str | symbol="USDCNH"; instrument code; use ms.forex_spot_em() for all symbols with historical quotes |
Output
| Name | Type | Description |
|---|---|---|
| No. | int64 | - |
| Code | object | - |
| Name | object | - |
| Latest | float64 | - |
| Change | float64 | - |
| Change % | float64 | - |
| Open | float64 | - |
| High | float64 | - |
| Low | float64 | - |
| Prev close | float64 | - |
Example
import meshare as ms
forex_hist_em_df = ms.forex_hist_em(symbol="USDCNH")
print(forex_hist_em_df)
Sample data
Date Code Name Open Latest High Low Amplitude
0 2010-08-23 USDCNH USD/CNH 6.7200 6.7250 6.7250 6.7200 0.00
1 2010-08-24 USDCNH USD/CNH 6.7230 6.7265 6.7265 6.7230 0.05
2 2010-08-25 USDCNH USD/CNH 6.7325 6.7325 6.7325 6.7325 0.00
3 2010-08-26 USDCNH USD/CNH 6.7500 6.7450 6.7500 6.7450 0.07
4 2010-08-27 USDCNH USD/CNH 6.7530 6.7530 6.7530 6.7530 0.00
... ... ... ... ... ... ... ... ...
3776 2025-02-28 USDCNH USD/CNH 7.3007 7.2954 7.3019 7.2844 0.24
3777 2025-03-03 USDCNH USD/CNH 7.2915 7.3027 7.3069 7.2848 0.30
3778 2025-03-04 USDCNH USD/CNH 7.3028 7.2543 7.3069 7.2488 0.80
3779 2025-03-05 USDCNH USD/CNH 7.2532 7.2362 7.2769 7.2343 0.59
3780 2025-03-06 USDCNH USD/CNH 7.2363 7.2484 7.2485 7.2354 0.18
[3781 rows x 8 columns]
RMB FX spot quotes
Interface: fx_spot_quote
Source URL: http://www.chinamoney.com.cn/chinese/mkdatapfx/
Description: RMB FX spot quotes
Limits: Returns real-time quotes in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
RMB FX spot quotes
| Name | Type | Description |
|---|---|---|
| Pair | object | |
| Bid | float64 | |
| Ask | float64 |
Note: indicative quotes (USD is ODM), updated in real time
Example
import meshare as ms
fx_spot_quote_df = ms.fx_spot_quote()
print(fx_spot_quote_df)
Sample data
Pair Bid Ask
0 USD/CNY 6.68500 6.68540
1 EUR/CNY 7.08170 7.08260
2 100JPY/CNY 4.92400 4.92480
3 HKD/CNY 0.85184 0.85196
4 GBP/CNY 8.20610 8.20690
5 AUD/CNY 4.65300 4.65310
6 NZD/CNY 4.21240 4.21320
7 SGD/CNY 4.82670 4.82680
8 CHF/CNY 7.00390 7.00450
9 CAD/CNY 5.21290 5.21360
10 CNY/MYR 0.65590 0.65750
11 CNY/RUB 7.93950 7.98320
12 CNY/ZAR 2.37330 2.37360
13 CNY/KRW 192.14000 192.20000
14 CNY/AED 0.54935 0.54948
15 CNY/SAR 0.56142 0.56147
16 CNY/HUF 56.53140 56.57020
17 CNY/PLN 0.66319 0.66344
18 CNY/DKK 1.05070 1.05070
19 CNY/SEK 1.50220 1.50240
20 CNY/NOK 1.45980 1.46000
21 CNY/TRY 2.48949 2.48980
22 CNY/MXN 2.97690 2.97870
23 CNY/THB 5.24800 5.25000
Cross-currency spot quotes
Interface: fx_pair_quote
Source URL: http://www.chinamoney.com.cn/chinese/mkdatapfx/
Description: Cross-currency spot quotes
Limits: Returns the latest updated snapshot for the current time in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
| Name | Type | Description |
|---|---|---|
| Pair | object | e.g., "AUD/USD" |
| Bid | float64 | e.g., "0.68460" |
| Ask | float64 | e.g., "0.68461" |
Note: indicative quotes (USD is ODM), updated in real time
Example
import meshare as ms
fx_pair_quote_df = ms.fx_pair_quote()
print(fx_pair_quote_df)
Sample data
Pair Bid Ask
0 AUD/USD 0.69594 0.69600
1 EUR/JPY 143.80300 143.81500
2 EUR/USD 1.05929 1.05935
3 GBP/USD 1.22733 1.22739
4 USD/CAD 1.28238 1.28247
5 USD/CHF 0.95410 0.95417
6 USD/HKD 7.84744 7.84755
7 USD/JPY 135.75500 135.76000
8 USD/SGD 1.38510 1.38518
9 NZD/USD 0.63003 0.63012
10 EUR/GBP 0.86308 0.86308
RMB FX forward & swap quotes
Interface: fx_swap_quote
Source URL: http://www.chinamoney.com.cn/chinese/mkdatapfx/
Description: RMB FX forward & swap quotes
Limits: Returns real-time quotes in a single call
Input
| Name | Type | Description |
|---|---|---|
| - | - | - |
Output
RMB FX forward & swap quotes
| Name | Type | Description |
|---|---|---|
| Pair | object | e.g., "USD/CNY" |
| 1W | object | e.g., "11.50/12.00" |
| 1M | object | |
| 3M | object | |
| 6M | object | |
| 9M | object | |
| 1Y | object |
Note: indicative quotes (USD is ODM), updated in real time
Example
import meshare as ms
fx_swap_quote_df = ms.fx_swap_quote()
print(fx_swap_quote_df)
Sample data
Pair 1W ... 9M 1Y
0 USD/CNY 5.00/5.00 ... -235.00/-233.00 -347.00/-345.00
1 EUR/CNY 39.17/39.28 ... 1241.70/1242.30 1513.74/1514.19
2 100JPY/CNY 25.93/26.33 ... 1156.41/1158.04 1604.66/1604.74
3 HKD/CNY 2.35/2.55 ... 6.88/7.10 -4.88/-4.41
4 GBP/CNY 15.36/16.28 ... 221.38/222.74 188.33/191.70
5 AUD/CNY 9.47/9.87 ... -128.45/-127.09 -254.98/-248.56
6 NZD/CNY 1.36/1.76 ... -311.14/-299.26 -435.15/-420.15
7 SGD/CNY 3.31/3.39 ... 44.03/44.60 72.00/84.97
8 CHF/CNY 35.23/36.21 ... 1346.89/1347.41 1702.55/1706.77
9 CAD/CNY 7.86/7.96 ... -124.21/-122.50 -193.11/-190.60
10 CNY/MYR -1.43/0.35 ... -22.75/-9.30 -21.12/-5.39
11 CNY/RUB 627.40/627.80 ... 30785.79/32165.82 35730.95/36968.82
12 CNY/ZAR 12.36/12.37 ... 719.25/726.67 992.29/1007.07
13 CNY/KRW -4.63/-0.56 ... -106.97/-93.21 -125.42/-117.52
14 CNY/AED -0.60/-0.50 ... 18.31/18.63 27.90/28.35
15 CNY/SAR ---/--- ... 22.03/22.54 32.68/33.00
16 CNY/HUF 370.56/423.79 ... 26568.04/26596.38 36664.72/36718.42
17 CNY/PLN 5.37/5.39 ... 264.19/264.92 359.67/361.01
18 CNY/DKK -5.70/-5.49 ... -186.20/-186.08 -229.34/-226.54
19 CNY/SEK -5.91/-5.90 ... -132.23/-131.85 -137.94/-137.43
20 CNY/NOK -2.67/-2.64 ... -43.57/-42.56 -35.65/-33.93
21 CNY/TRY 53.89/61.57 ... 8321.13/8339.39 11516.20/11550.77
22 CNY/MXN -2.84/-2.80 ... 105.61/105.73 2350.95/2393.33
23 CNY/THB -68.44/-43.00 ... -514.60/-436.28 -675.05/-534.00