NFP (Nonfarm Payrolls)

    Category

    Makroökonomie & Zentralbanken

    Sub-category

    Makroindikatoren

    Curated by

    GlanWick Team

    Last reviewed

    · Methodology

    NFP (Nonfarm Payrolls) is the monthly US labour-market report: the number of newly created jobs outside agriculture, complemented by the unemployment rate and wage growth. It appears on the first Friday of the month and, due to its direct effect on rate expectations, ranks among the most volatile dates in forex and index trading.

    Context & Mechanics

    What the report contains

    The NFP (Nonfarm Payrolls) are the centrepiece of the U.S. Bureau of Labor Statistics' Employment Situation Report, published on the first Friday of the month at 8:30 a.m. ET. Three figures are in focus: the number of newly created jobs outside agriculture (headline), the unemployment rate and wage growth (average hourly earnings). Important: prior-month values are regularly revised substantially – revisions can shape the market reaction as much as the headline.

    Effect on markets

    The labour market is a central lever for inflation and thus for the policy rate: a hot labour market with strong wage growth argues for longer high-rate phases, a weak one for rate cuts. The reaction is regime-dependent – in inflation-fighting phases strong numbers can weigh on equities ("good news is bad news"), in growth-scare phases they support them. As with all macro data, the deviation from consensus counts, not the absolute value.

    The release as a trading event

    NFP minutes are notorious for spike moves and whipsaws: the first reaction to the headline frequently reverses once revisions, wages and the unemployment rate are digested. Spreads widen to a multiple, liquidity thins, stops fill with slippage – especially in dollar pairs and index futures. Many rule-based traders stay flat around the date; some prop-firm programs have explicit news-trading bans. Volatility often stays elevated for the entire session.

    Why it matters for traders

    Knowing consensus, revisions and the current regime allows NFP reactions to be interpreted rather than chased. In the GlanWick chart, historical NFP reactions can be traced by way of example – GlanWick is a training and simulation tool and not a prop firm itself.

    Execution Example

    Consensus expects +180,000 new jobs. +310,000 is published, wage growth comes in above expectations, and prior months are revised by −60,000. A forex trader ($100,000 account) observes EUR/USD around the release without an open position.

    1. Surprise: +130,000 above consensus plus strong wage growth → the market prices a longer high-rate phase.
    2. Immediate reaction: EUR/USD falls 80 pips within minutes, indices decline, bond yields rise.
    3. Whipsaw: part of the move is bought back as the downward revisions of prior months (−60,000) are digested – the net message is weaker than the headline.
    4. Cost view: the spread temporarily sits at a multiple of its normal value around the release – anyone trading the date budgets for slippage or stays flat.

    Execution Risk & Errors

    1

    Reading only the headline number and ignoring revisions and wage growth

    2

    Confusing the first spike move with the sustained direction

    3

    Going into the release with tight stops and getting hit by slippage

    4

    Not knowing consensus and interpreting the absolute value

    5

    Overlooking one's prop firm's news-trading rules

    Frequently Asked

    When are the NFP released?

    On the first Friday of the month at 8:30 a.m. ET as part of the Bureau of Labor Statistics' Employment Situation Report.

    Which numbers in the report matter?

    The headline (new jobs), the unemployment rate and wage growth – plus the revisions of prior months, which can shape the market reaction as much as the headline.

    Why do whipsaws happen so often around NFP?

    The first reaction follows the headline; once revisions, wages and the unemployment rate are digested, the move frequently reverses. Added to this are thin liquidity and triggered stops on both sides.

    Can strong labour data be bad for equities?

    Yes, depending on the regime: in inflation-fighting phases strong numbers argue for longer high-rate phases and weigh on equities – in growth-scare phases they are supportive.

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