Options flow around macro events: CPI, FOMC, jobs, and GDP signals

How macro events distort options flow

When institutional traders know a scheduled event will move markets, they act in advance. They buy options before CPI is released. They hedge before FOMC. They position before NFP. All of this creates a surge of options flow that reflects event anticipation, not a view on the underlying company's fundamentals.

The distortion runs in both directions. Before an event, implied volatility rises, making options more expensive, which can suppress the size of legitimate directional bets while amplifying defensive hedging. After an event, IV collapses (vol crush), making post-event flow cheaper and easier to misinterpret as high-conviction new positioning when it's really just position adjustment.

Understanding each major macro event's specific impact on different sectors lets you read event-adjacent flow correctly, and identify the rare cases where flow on macro days still signals something genuinely informative.

The macro event / sector sensitivity matrix

CPI: the rate proxy trade

CPI is the single most market-moving monthly data point for options flow. It releases at 8:30am ET, meaning it's pre-market, the options tape at the 9:30am open is already reacting to the print.

Pre-CPI flow (the day before and morning of). This is the positioning window. Watch for unusual flow in rate-sensitive proxies: TLT (long-dated bond ETF), XLU (utilities), XLRE/VNQ (REITs), and XLF (banks). Puts on TLT or calls on XLF ahead of CPI signal an institution expecting a hot number. Calls on TLT or puts on banks signal positioning for a tame or cool number.

Post-CPI flow on the day of. The initial gap at 9:30am is the raw reaction, mostly retail and reactive institutions. The more interesting window is 10:00–11:00am: does flow confirm the initial direction, or start reversing it? Confirming flow (calls on the sector that benefited, new sweeps in the same direction) is more credible than the gap itself.

Vol crush complication. By the time CPI prints, IV has risen significantly across TLT, utilities, and banks, options are more expensive. Post-CPI flow looks cheaper because IV collapses immediately after the event. A $500K TLT call at 10:00am after CPI might have cost $1.5M at the same premium level the day before. Don't interpret post-CPI flow at face value without adjusting for vol crush.

The "hot print" cascade. A hotter-than-expected CPI has a predictable sector sequence: TLT sells off (rates higher) → utilities and REITs drop → banks benefit (higher net interest margin) → gold drops (real rates up) → discretionary gets hit (consumer affordability). The options tape in the hour after a hot CPI reflects this cascade. What matters for flow analysis: are there large sweeps in any of these names that break from the expected cascade? That's where the real signal is.

FOMC: the 2pm event that splits institutional positioning

FOMC decisions release at 2:00pm ET, unusually late in the trading day, and typically followed by a press conference at 2:30pm. This timing creates a specific intraday flow structure:

Pre-FOMC morning flow (9:30am–1:30pm). Mostly quiet in rate-sensitive sectors, institutions aren't taking large positions they'll have to unwind in a few hours. Watch for block trades (not sweeps) in interest rate proxy names: large blocks tend to be portfolio hedges entered before the event rather than directional bets.

The pre-Fed straddle window (1:00–1:45pm). Some traders buy straddles (call + put at same strike) on SPY, QQQ, or individual rate-sensitive names to profit from the move in either direction. Unusual two-sided flow (calls and puts at the same strike simultaneously) in this window is almost certainly a straddle, not two separate directional bets.

Post-decision flow (2:00–3:00pm). The highest-signal window on FOMC days. After the decision and initial market reaction, institutions reposition for the "new world", whether that's a surprise cut, pause, or hike, and what it means for each sector. Sweeps in XLU, REITs, TLT, XLF, and gold in the 15–45 minutes after 2:00pm are the clearest read on how institutions interpret the statement.

Post-press conference (3:00–3:30pm). The press conference often causes a second move after the initial decision reaction. If flow reverses direction from the 2pm reaction, it usually means the press conference tone differed from what the decision alone implied.

NFP (Jobs report): the cyclical rotation signal

The monthly Non-Farm Payrolls report releases on the first Friday of each month at 8:30am. Unlike CPI (which directly moves rate expectations), NFP's impact depends on where we are in the cycle:

In a slowing cycle: A weak jobs number is bearish for cyclical sectors (XLY, XLI, materials) but could be bullish for rates (lower rates ahead) which benefits REITs and utilities. A strong number could be "good news is bad news", hotter economy → higher rates → multiple compression. The options tape after NFP reflects this ambiguity: you'll often see simultaneous flow in opposite directions across sectors as different desks make different interpretations.

In an expanding cycle: A strong jobs number is simply bullish for cyclical stocks. You'll see calls on XLY, XLF, and small caps (IWM), because a healthy employment market supports consumer spending. Flow is more directional and easier to interpret.

The homebuilder signal. NFP data contains wage growth, which affects housing affordability. Strong wages + low unemployment → calls on LEN, DHI, PHM. Weak wages → puts or defensive positioning in the same names. Watch for homebuilder options flow in the first 30 minutes after NFP for a clean read on the housing market interpretation.

GDP: the growth vs recession signal

Quarterly GDP advance estimates (the first of three revisions) are released at 8:30am. GDP moves are generally less dramatic than CPI or NFP, but the implications for cyclical vs defensive positioning are significant:

Negative GDP surprise. Recession risk rises → money moves into defensive sectors (utilities, consumer staples, healthcare) and out of cyclicals (industrials, discretionary, materials). Watch for XLU/XLP calls combined with XLI puts in the post-GDP window. Also watch XLF, banks trade down on recession risk regardless of the rate trajectory.

Positive GDP surprise. Growth confirms → cyclical rotation. XLI, XLB, XLY, and small cap (IWM) options see call buying. Banks can benefit from both the growth and potential rate implications. Gold and utilities see put pressure as the flight-to-safety trade unwinds.

GDP components matter more than the headline. Options traders read the GDP components (consumption, investment, government spending, trade balance) rather than just the top-line number. A headline beat driven entirely by government spending doesn't excite the same way as a consumption-driven beat. Watch where sector flow concentrates, it tells you which component the market cares about this quarter.

PPI and the margin trade

Producer Price Index measures inflation at the producer level, what companies pay for inputs before passing costs to consumers. PPI flow is more specific than CPI flow:

High PPI → margin compression signal. Companies that can't pass on input costs get squeezed. Watch for unusual put activity in companies with high operating leverage and thin margins, fast food, airlines, consumer packaged goods. Conversely, companies with pricing power (luxury goods, software) see calls if they can pass costs through.

PPI → XLB and energy direct link. Materials stocks and energy companies are often direct beneficiaries of rising input costs (they're selling the inputs). Unusual calls in FCX, XOM, or XLB on hot PPI mornings are a direct inflation trade, not a macro-level hedge.

The "macro day" flow rule

A practical rule for adjusting your flow analysis on macro data days:

1. Pre-event (day before and morning of): Flow in affected sectors is event positioning. Don't treat it as a view on the underlying business. Note it as a read on consensus expectations before the print.
2. Immediate post-event (first 30 minutes after release): Mostly reactive and mechanical. High retail, high volatility, low signal.
3. Settling flow (30–90 minutes after release): The most informative window. Institutions that have processed the data are acting on their updated view. Sweeps here, especially counter-consensus ones, are worth attention.
4. After noon on event day: Flow returns toward base rate. Names that saw unusual flow in the settling window are worth monitoring for follow-through the next day.

Pre-event vs post-event flow quality comparison

When macro events create false signals on individual stocks

The most common macro-day false signal: unusual flow appears on an individual stock, but it's actually driven by sector ETF rebalancing or index-level hedging, not a stock-specific view.

For example, on a hot CPI day, XLF calls might sweep aggressively, and simultaneously, individual bank stocks like JPM, BAC, and GS will also see call activity, not because someone has a view on JPM specifically, but because they're expressing the bank sector trade through individual names for liquidity reasons.

The check: does the individual stock flow align with what the sector ETF is doing? If JPM calls are sweeping on CPI day and XLF is also seeing calls, the JPM flow is sector expression, not company-specific. If JPM calls are sweeping while the sector is flat or down, that's more interesting, someone has a stock-specific thesis alongside the macro event.

The Federal Reserve meeting calendar: how to trade the full FOMC cycle, not just the announcement

Most traders treat FOMC as a single event, the 2:00pm Wednesday announcement. Institutional options desks treat it as an 8-week cycle. There are 8 scheduled FOMC meetings per year, and the market's rate pricing process begins 6 to 8 weeks before each one. Understanding the full cycle is the difference between reacting to FOMC and positioning ahead of it.

• CME FedWatch as a real-time positioning guide. The CME FedWatch Tool distills Fed funds futures prices into a probability distribution for each upcoming meeting, the likelihood of a 25bp cut, hold, or hike. When the implied probability of a rate change shifts materially (say, from 35% to 60% for a cut), institutional desks begin pre-positioning in rate-sensitive sectors. Watch FedWatch weekly between meetings: sustained probability shifts lasting more than 3 days tend to precede options flow alignment in XLU, XLRE, XLF, and TLT.
• Pre-meeting accumulation phase (2 to 4 weeks before the announcement). This is the most underappreciated positioning window. Institutions that believe the market is mispricing the rate outcome begin building directional positions in rate-sensitive sectors. A desk expecting a surprise cut accumulates utilities and REIT calls; a desk expecting a hawkish hold or surprise hike accumulates bank calls and REIT puts. These positions are built slowly to minimize market impact, they appear as a gradual buildup in open interest rather than a single day's unusual sweep.
• Announcement day (Wednesday 2:00pm) and the 0DTE signal. Zero-day-to-expiry options on SPX dominate FOMC announcement day volume. The direction of the first large 0DTE SPX print immediately after 2:00pm is the most reliable 30-minute directional signal on FOMC days. Institutions that have processed the statement faster than the broad market use 0DTE options to express their view quickly before repositioning in longer-dated sector positions. A large 0DTE SPX call appearing within the first 5 minutes of the 2pm release, when the market is still digesting the statement, is a clean read on how the fastest institutional desks are interpreting the decision.
• Post-announcement repositioning phase (Thursday and Friday following FOMC). The two days after FOMC are when the full institutional repositioning occurs. Desks that were hedged into the announcement unwind their hedges; desks whose directional bets paid off take profits or roll to longer-dated positions; desks that were wrong reverse. Thursday and Friday FOMC-week flow in rate-sensitive sectors is often larger in aggregate than announcement day itself, and considerably more informative because IV has crushed down and position costs are lower.
• Between-meeting signals: speeches, the Beige Book, and regional Fed presidents. The Beige Book, the Fed's anecdotal economic survey across all 12 districts, releases two weeks before each FOMC meeting. A Beige Book that describes widespread economic weakness is a pre-meeting dovish signal; broad strength or inflation language is a hawkish signal. Regional Fed president speeches in the inter-meeting period also shift rate expectations. When a voting Fed president changes their language (for example, dropping "patient" or adding "data-dependent"), the market adjusts FedWatch probabilities within hours, and options flow in rate proxies follows within 1 to 2 trading sessions.
• Jackson Hole symposium (late August) as the major inter-meeting catalyst. The Federal Reserve's annual economic symposium in Jackson Hole, Wyoming is the single most important non-FOMC Fed event of the year. Historically, Jackson Hole has been the venue where Fed chairs signal major policy pivots, the taper announcement in 2021, the inflation-fighting pivot in 2022. Institutional desks position for Jackson Hole speeches with LEAPS (long-dated options, 6 to 18 months out) in rate-sensitive sectors because the policy signal tends to be durable rather than a single-meeting event. Unusual LEAPS activity in XLU, TLT, and XLRE in the week before Jackson Hole is worth tracking as a read on what institutional desks expect the Fed to signal.

Treasury auctions and bond market signals: how yield movements translate into options flow

Treasury auctions are scheduled, predictable, and largely ignored by retail options traders, which is exactly why they generate reliable, institutionally-driven options flow that can be read with a clear framework. The US Treasury auctions 2-year and 5-year notes weekly, 7-year notes weekly, and 10-year and 30-year bonds monthly. Each auction result immediately shifts the yield curve, which shifts equity valuations, which drives options flow in the affected sectors.

• Reading auction results: the three metrics that matter. The bid-to-cover ratio measures total bids divided by the amount offered, above 2.5 is strong demand, below 2.2 is weak. The tail measures the difference between the stop-out rate (the yield at which all bonds were sold) and the when-issued rate (the pre-auction yield expectation), a tail of more than 1.5 basis points signals weaker-than-expected demand. Direct and indirect bidder percentages tell you who bought: higher indirect bidder participation (foreign central banks, typically) signals international demand for US debt, which is bullish for the dollar and mildly bearish for US equities via the growth-vs-safety rotation.
• Weak auction cascade into equity options flow. A weak Treasury auction, high tail, low bid-to-cover, causes an immediate yield spike. The options flow sequence is predictable: within 20 to 40 minutes of auction results, put activity rises in TLT, then utilities (XLU), then REITs (XLRE, VNQ), then growth technology (QQQ, ARKK). These are the sectors most sensitive to rising discount rates. A $250K or larger put sweep in XLU or XLRE within 30 minutes of a weak Treasury auction is a textbook rate-shock flow pattern.
• Strong auction cascade into rate-sensitive calls. A strong auction, low tail, high bid-to-cover, above 2.6, causes yields to drop. TLT calls, utility calls, and REIT calls are the immediate beneficiaries. Longer-duration growth technology names (names with earnings weighted far into the future, where lower discount rates increase present value) also see call accumulation. The flow tends to build over 30 to 90 minutes after strong auction results rather than appearing in a single sweep.
• The 10-year yield as the equity market's primary valuation anchor. The 10-year Treasury yield is the denominator in every equity discounted cash flow model. When the 10-year crosses psychological thresholds, 3%, 3.5%, 4%, 4.5%, 5%, it triggers systematic risk repricing across growth equities. Each threshold crossing generates a wave of options positioning: below 4% is generally favorable for growth tech valuations; above 4.5% compresses multiples on high-multiple names; at 5%, the options flow across growth technology tilts heavily toward puts regardless of individual company fundamentals.
• The yield curve inversion signal and sector options flow. When the 2-year Treasury yield rises above the 10-year yield, the curve is inverted, a configuration that has preceded every US recession in the post-war era. An inversion does not cause immediate options flow, but a sustained inversion (lasting more than 3 months) creates a persistent pattern: financial sector put flow builds as bank net interest margins compress (banks borrow short-term, lend long-term, inversion squeezes the spread); growth stock put flow accumulates as higher short-term discount rates reduce long-duration asset valuations; defensive sector call flow (XLU, XLP, XLV) appears as capital rotates toward recession-resistant earnings. The curve re-steepening (inversion narrowing) after a sustained inversion is often the most important flow catalyst of a credit cycle, when the 10-year begins rising back above the 2-year, financial sector call flow re-emerges as the recession-trade unwind.

Global macro events: how international developments create US options flow opportunities

US equity options flow has become increasingly globalized. International central bank decisions, geopolitical flash points, and foreign economic data releases create options positioning in US-listed names with global exposure that often arrives before domestic traders are paying attention. The global macro calendar is an underutilized source of options flow context.

• ECB rate decisions and US financial sector exposure. The European Central Bank meets 8 times per year, typically on Thursdays. ECB decisions affect US options flow through two channels: currency (a surprise rate hike by the ECB strengthens the euro versus the dollar, reducing earnings headwinds for US multinationals with European revenue) and financial sector valuation (European bank stocks trade in tandem with US bank stocks on rate expectations). Unusual call flow in US-listed European multinationals, SAP, ASML, STMicroelectronics, ahead of ECB decisions reflects cross-border institutional positioning that US retail flow readers rarely track.
• Bank of Japan policy changes and the carry trade unwind signal. Japan's ultra-low interest rate policy created one of the largest carry trades in modern financial history, borrow in yen at near-zero rates, invest in higher-yielding US assets. When the Bank of Japan began raising rates in 2024, the carry trade unwound rapidly, causing US high-beta technology stocks to decline 8 to 12% within days. The pre-announcement put flow in US names was not visible, the BOJ decision was genuinely unexpected, but the post-announcement pattern in the first 30 minutes of US trading (large put sweeps in QQQ, SPY, and individual high-beta names) signaled institutional recognition of the carry trade dynamic faster than most participants understood what was happening. Monitoring BOJ meeting outcomes and yen rate levels is now a standing input for any institutional desk trading US high-beta options.
• China economic data and US sector linkages. China's monthly PMI releases (manufacturing and services), retail sales, and industrial production directly affect several US options sectors. Semiconductor names with significant China revenue (NVDA, QCOM, MU, AMAT) see options positioning shifts within hours of China economic data. Commodity names (FCX for copper, CLF for steel, X) respond to China industrial production data because China consumes roughly half of global industrial metals. Consumer multinationals with significant China market exposure (NKE, SBUX, AAPL) trade on China retail sales data. Tracking Chinese economic data releases on a calendar basis and watching for unusual options flow in these names is a cross-market edge that is available in public data.
• Overnight futures as leading indicators for US session positioning. Eurostoxx 50 futures, Nikkei 225 futures, and Hang Seng futures trade through the US overnight session. A significant move in any of these (greater than 1.5% in either direction) tends to create a directional bias in US pre-market options activity before the 9:30am open. When Eurostoxx falls 2% overnight on European economic data, expect defensive rotation in US names, call flow in XLU and XLP, put flow in XLI and XLY, beginning at the 9:30am open. These first-30-minutes positioning flows are a direct translation of the overnight futures signal into the US options tape.
• Geopolitical events and the defense/volatility flow pattern. Geopolitical flash points, Middle East conflicts, Taiwan Strait tensions, European border incidents, create a distinctive dual-sector options pattern: defense sector call flow (LMT, RTX, NOC, GD) rises on increased defense spending expectations, while broad market put flow (SPY, QQQ) rises simultaneously on uncertainty-premium expansion. The two flows occur concurrently rather than sequentially. When you see defense call flow paired with broad index put flow on a day with no scheduled domestic data, check for a geopolitical news catalyst. This pattern often precedes a sustained multi-week defensive positioning theme in the broader options market.

Retail sales data and consumer confidence: how consumer health signals translate into options positioning

The US consumer accounts for approximately 70% of GDP, making retail sales and consumer confidence data the most direct read on the economy's primary engine. Options traders who understand how to parse these releases beyond the headline number gain a significant edge in consumer sector flow interpretation.

• The control group: what retail sales traders actually watch. The Census Bureau's advance retail sales report contains a line called the retail sales control group, which excludes automobiles, gasoline, building materials, and food service. This control group is the figure that feeds directly into the GDP personal consumption expenditure calculation, it is the cleanest read on consumer spending health. A headline retail sales beat that is driven by gasoline (a price effect, not a volume effect) can be accompanied by a weak control group, which is the bear signal. Options flow in consumer discretionary names responds to the control group, not the headline.
• Consumer discretionary vs. defensive flow on retail sales misses and beats. A control group beat above consensus by 0.3% or more generates call flow in XLY, TGT, AMZN, RCL, and homebuilders (consumer spending capacity supports housing demand). A control group miss of 0.3% or more generates defensive rotation: call flow in XLP (consumer staples, Walmart, Procter & Gamble, Costco) and put flow in higher-multiple discretionary names. The flow rotation tends to build over the first 60 to 90 minutes after the 8:30am release as institutional desks process the sector implications.
• Consumer Confidence structure: present situation vs. expectations divergence. The Conference Board Consumer Confidence report (baseline 1985=100) contains two components: the Present Situation Index and the Expectations Index. When the Expectations Index falls more than the Present Situation Index, consumers feel okay today but see trouble ahead, it is a forward-looking bearishness signal even if current spending data is solid. This divergence drives put flow in cyclical consumer names (restaurants, leisure, discretionary retail) before the spending data itself deteriorates. The divergence pattern has historically led actual spending weakness by 2 to 3 months.
• Michigan Consumer Sentiment as a divergence check. The University of Michigan Consumer Sentiment survey (released monthly, final reading on the last Friday of the month) provides a cross-check against the Conference Board figure. When the two surveys diverge, Michigan sentiment falling while Conference Board confidence rises, or vice versa, it signals an unstable consumer psychology that tends to increase implied volatility premiums across consumer sector options. This IV expansion affects the cost of both calls and puts in the sector, making options more expensive before a directional resolution arrives.
• Credit card spending data as a real-time between-release signal. Visa, Mastercard, and the Bank of America Institute publish spending data on various cadences (monthly or quarterly). This real-time credit card data gives institutional desks a read on consumer health between the monthly Census Bureau reports. Call flow in consumer discretionary names tends to front-run credit card data releases when pre-release channel checks (analyst surveys, web traffic data, app download data) signal a strong reading. This pre-data buildup in consumer options is one of the clearer examples of institutional informational advantage expressed in the options tape, the flow appears to be directional conviction, but the source is real-time alternative data not available to most retail traders.
• The wage growth link: connecting NFP to consumer spending options. Consumer spending capacity is directly tied to wage growth, which is reported in the NFP release. When average hourly earnings grow above 4% year-over-year, consumer spending tends to be self-sustaining, and the options tape in consumer discretionary remains biased toward calls. When wage growth falls below 3%, particularly when combined with rising consumer debt levels (tracked via Federal Reserve G.19 consumer credit data), the options flow in consumer names shifts toward a more defensive bias even before spending data weakens.

ISM Manufacturing and services PMI: the early-cycle rotation signals

The ISM Manufacturing PMI (released on the first business day of each month) and ISM Services PMI (released on the third business day) are the most actionable monthly economic indicators for sector-level options positioning. They provide early-cycle signals, leading the harder quarterly GDP data by weeks, and they generate immediate, sector-specific options flow in a way that slower-moving data does not.

• The 50 threshold and what crossing it means for flow. Both ISM reports use 50 as the expansion/contraction threshold. When Manufacturing PMI crosses from below 50 to above, or vice versa, it tends to trigger systematic sector reallocation that generates multi-day options flow rather than a single-session reaction. A Manufacturing PMI crossing from 49.2 to 51.0 (back into expansion territory) generates industrial sector call accumulation that builds over 3 to 5 trading days as more desks confirm the signal and add exposure. The crossing is more important than the level in any single month.
• Manufacturing PMI sub-indexes as leading indicators. The new orders sub-index within the Manufacturing PMI leads the headline by approximately 1 to 2 months. Rising new orders signal that production expansion is ahead, and that the industrial, materials, and cyclical consumer call flow now has a multi-month fundamental tailwind. The supplier deliveries sub-index signals supply chain stress (longer delivery times = higher deliveries index = inflationary pressure ahead); when supplier deliveries rise sharply, options flow in transportation and logistics names (UPS, FedEx, XPO) tends to reflect supply chain repricing.
• Manufacturing PMI level to sector flow mapping. PMI readings above 55 indicate strong manufacturing expansion and generate call flow in XLI (industrials), XLB (materials), FCX (copper, as a demand proxy), and cyclical consumer names. Readings between 50 and 55 represent moderate expansion with neutral to mildly bullish sector flow. Readings between 45 and 50 represent contraction territory, put flow in cyclicals begins building, and defensive call flow (XLU, XLP, XLV) appears as desks position for a potential slowdown. Readings below 45 indicate significant contraction and tend to generate elevated put flow across the entire cyclical universe, with LEAPS call flow in defensive names as desks position for a sustained period of below-trend growth.
• Services PMI as the employment leading indicator. Because the US economy is more than 75% services by GDP, the Services PMI is arguably more important than Manufacturing PMI for equity market direction. The employment sub-index within the Services PMI leads the monthly NFP report by approximately 4 weeks. When the services employment sub-index falls below 50 for two consecutive months, the following NFP reports tend to disappoint consensus estimates. This creates a pre-NFP options positioning opportunity: put flow in consumer discretionary names that depend on a healthy employment market begins appearing before the NFP miss actually arrives.
• Manufacturing/services bifurcation and what it means for flow. In the current services-dominated economy, it is possible to have Manufacturing PMI in contraction (below 50) while Services PMI remains in expansion (above 55). This bifurcation creates more complex and interesting options positioning than a uniform expansion or contraction signal. Industrial and materials names see put pressure from the weak manufacturing read; consumer-facing services names (restaurants, travel, healthcare services) see call support from the strong services read. The cross-sector divergence creates sector-rotation options strategies (long XLY, short XLI) that generate call flow in one sector and put flow in another simultaneously, a useful pattern for reading overall market positioning direction.
• ISM price indexes and the inflation read. Both the Manufacturing and Services PMIs contain a prices paid sub-index that serves as an early inflation signal. When Manufacturing prices paid rises above 60 (significantly elevated input cost inflation), options flow in XLB and energy names rises on the inflation-pass-through trade, while flow in consumer discretionary companies with thin margins turns more defensive. When prices paid falls sharply, the margin expansion trade emerges, call flow in consumer discretionary names with high operating leverage (restaurants, retail), because falling input costs expand margins on fixed revenue bases.

Case studies: three macro event flow sequences and how they translated into sector positions

The framework above becomes actionable through real examples. The following three sequences illustrate how macro event flow signals translated into specific sector positions, including the timing, the premium involved, and the outcome.

Summary

Major macro events are the single largest source of flow distortion for individual stock analysis. Around CPI, FOMC, NFP, and GDP, the options tape is dominated by pre-event positioning and post-event adjustment rather than company-specific conviction.

Read macro-day flow at the sector level rather than the individual stock level. Distinguish pre-event positioning (the day before) from reactive flow (first 30 minutes) from the genuinely informative settling period (30–90 minutes after the release). The settling window is where institutions that have processed the data are expressing their updated view, that's when macro-day flow becomes worth acting on.

RadarPulse labels flow with timestamps so you can apply the event-window framework, and identify when sector flow tells you something about the economy rather than the individual company.