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According to the European-Mediterranean Seismological Centre, a 5.4-magnitude earthquake struck the Pakistan region.Irans Meh News Agency, citing local officials, reported that the US attack did not cause any damage to the port of Sirik.On June 27th, the toroidal field magnet, the largest superconducting component of the "Comprehensive Research Facility for Key Systems of Fusion Reactor Main Unit," a major national science and technology infrastructure project, completed its final fabrication process and passed expert review. Simultaneously, the high-temperature superconducting central solenoid coil magnet also completed full-condition parameter testing, with its core performance reaching internationally leading levels. The toroidal field magnet is currently the largest fusion reactor superconducting magnet in the world. Measuring 21 meters long, 12 meters wide, and 3.3 meters high, with a total weight of 582 tons, it is currently the worlds largest fusion reactor superconducting magnet. The toroidal field magnet is one of the most important components of the "Comprehensive Research Facility for Key Systems of Fusion Reactor Main Unit." During the operation of the nuclear fusion device, the superconducting magnet generates a strong magnetic field to confine plasma at temperatures exceeding 100 million degrees Celsius. The toroidal field magnet is responsible for constructing the toroidal magnetic field to confine the plasma, reducing the impact loss of high-energy particles on the vacuum chamber walls. Currently, all key links in the entire magnet chain are domestically produced and controllable, with various performance indicators leading similar international products.On June 27th, Yu Weining, Chief Statistician of the Industrial Statistics Department of the National Bureau of Statistics, interpreted the industrial enterprise profit data for January-May 2026. Yu stated that profits in the raw materials manufacturing sector grew rapidly. From January to May, profits of enterprises above designated size in the raw materials manufacturing sector increased by 83.1% year-on-year, contributing 10.2 percentage points to the overall profit growth of industrial enterprises above designated size. By industry, driven by increased demand from emerging industries such as new energy and artificial intelligence, prices of products such as copper and aluminum remained at high levels, pushing profits in the non-ferrous metals industry to increase by 117.1%, contributing 5.3 percentage points to the overall profit growth of industrial enterprises above designated size. Driven by rising prices of products related to the petroleum industry chain, the petroleum processing industry turned a profit year-on-year, and the chemical industry saw a profit increase of 71.6%.On June 27th, Yu Weining, Chief Statistician of the Industrial Statistics Department of the National Bureau of Statistics, interpreted the industrial enterprise profit data for January-May 2026. Yu stated that the profits of high-tech manufacturing maintained double-digit growth. From January to May, the profits of large-scale high-tech manufacturing enterprises increased by 44.7% year-on-year, contributing 8.0 percentage points to the overall profit growth of large-scale industrial enterprises, demonstrating its continued leading role. By industry, the semiconductor industry chain performed well. In electronic device manufacturing, the profits of optoelectronic device manufacturing and semiconductor discrete device manufacturing increased by 53.8% and 40.6% respectively; in electronic component and electronic special material manufacturing, the profits of electronic special material manufacturing and electronic circuit manufacturing increased by 665.4% and 19.7% respectively. The medical equipment and related industries saw rapid profit growth, with the profits of dental equipment and instruments manufacturing and hygiene materials and medical supplies manufacturing increasing by 26.4% and 23.2% respectively.

What impact does NFP have on the forex market?

LEO

Oct 25, 2021 13:27

Nonfarm payroll employment is a compiled name for goods, construction and manufacturing companies in the US. It does not include farm workers, private household employees, or non-profit organization employees.

It is an influential statistic and economic indicator released monthly by the United States Department of Labor as part of a comprehensive report on the state of the labor market.

The Bureau of Labor Statistics releases data on the first Friday of the month, at 8:30 a.m. Eastern Time. 

This data is analyzed closely because of its importance in identifying the rate of economic growth and inflation.

Nonfarm payroll is included in the monthly Employment Situation or informally the jobs report and affects the US dollar, the Foreign exchange market, the bond market, and the stock market.

The markets react very quickly and most of the time in a very volatile fashion around the time the NFP data is released. The short-term market moves indicate that there is a very strong correlation between the NFP data and the strength of the US dollar. Historical price movement data shows a small negative correlation between the NFP data and the US dollar Index.

The figure released is the change in nonfarm payrolls (NFP), compared to the previous month, and is usually between +10,000 and +250,000 during non-recessional times. The NFP number is meant to represent the number of jobs added or lost in the economy over the last month, not including jobs relating to the farming industry.

As with other indicators, the difference between the actual non-farm data and expected figures will determine the overall impact on the market. If the non-farm payroll is expanding, this is a good indication that the economy is growing, and vice versa. However, if increases in non-farm payroll occur at a fast rate, this may lead to an increase in inflation. In forex, the level of actual non-farm payroll compared to payroll estimates is taken very seriously. If the actual data comes in lower than economists' estimates, forex traders will usually sell U.S. dollars in anticipation of a weakening currency. The opposite is true when the data is higher than economists' expectations.

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