Fashion Styles '24: Streetwear, Sportstyle & Sneaker Culture (open on stockthemes)

1. U.S. Census Bureau — Monthly Retail Trade Report (MRTS)

Not in registryaccess=api

Metric/field RETAILSM448USN (Retail sales, clothing and clothing accessories stores, not adjusted for seasonal variation, monthly)

Cadence monthly

Why it matters Directly measures consumer spending on clothing and footwear, which are core categories for the theme.

Signal to watch Sustained upward trend indicates strong consumer demand for theme-relevant products.

Confidence: high

2. The Conference Board — Consumer Confidence Survey

Not in registry

Metric/field CONCCONF (Consumer Confidence Index)

Cadence monthly

Why it matters A forward-looking indicator of consumer sentiment and willingness to make discretionary purchases, crucial for fashion and lifestyle goods.

Signal to watch A rising index suggests increased consumer optimism and potential for higher discretionary spending.

Confidence: high

3. U.S. Bureau of Labor Statistics (BLS) — Current Population Survey (CPS)

Matched (medium)lab_headcount · access=api

Metric/field LNS14000012 (Unemployment Rate - 16 to 24 years, Seasonally Adjusted)

Cadence monthly

Why it matters The youth demographic is a primary driver of streetwear and sneaker culture; their employment directly impacts disposable income for theme-related purchases.

Signal to watch A declining unemployment rate for this age group indicates more disposable income and a healthier market for youth-focused fashion.

Confidence: medium

4. U.S. Bureau of Economic Analysis (BEA) — National Income and Product Accounts (NIPA)

Not in registryaccess=api

Metric/field GDPC1 (Real Gross Domestic Product, 1st Estimate, Seasonally Adjusted Annual Rate)

Cadence quarterly

Why it matters Overall economic health is a fundamental driver of discretionary spending, impacting the broader market for fashion and lifestyle goods.

Signal to watch Sustained positive GDP growth indicates a healthy economic environment supportive of consumer spending.

Confidence: high

5. U.S. Bureau of Labor Statistics (BLS) — Consumer Price Index (CPI)

Not in registryaccess=api

Metric/field CUSR0000SAF11 (Consumer Price Index for All Urban Consumers: Apparel in U.S. City Average, Seasonally Adjusted)

Cadence monthly

Why it matters Tracks price changes for clothing and footwear, impacting consumer purchasing power and the pricing strategies of theme companies.

Signal to watch Stable or moderately increasing CPI for apparel suggests healthy pricing power without significantly deterring consumers.

Confidence: high

1. Google — Google Trends

Not in registry

Metric/field Search interest index for terms: 'sneaker culture', 'streetwear fashion', 'Nike Dunk', 'Adidas Samba', 'Salomon XT-6', 'Arc'teryx jacket'

Cadence daily

Why it matters Reflects real-time consumer interest and emerging trends in the streetwear, sportstyle, and sneaker culture segments.

Signal to watch Increasing search volume for key terms and specific products indicates rising consumer engagement and potential demand.

Confidence: high

2. Twitter/X — Public Tweets

Not in registry

Metric/field Aggregate daily mentions and sentiment score for official brand accounts and relevant hashtags (e.g., #Nike, #Adidas, #ArcTeryx, #Salomon, #Supreme)

Cadence daily

Why it matters Gauges public perception, brand buzz, and immediate reactions to new product releases or collaborations within the theme.

Signal to watch High volume of positive mentions and favorable sentiment suggests strong brand health and successful marketing efforts.

Confidence: medium

3. Reddit — r/streetwear, r/sneakers, r/outdoors

Not in registry

Metric/field Daily new posts and upvote count for top posts in r/streetwear, r/sneakers, r/outdoors

Cadence daily

Why it matters Provides insights into niche community trends, product hype, and authentic consumer discussions that often precede broader market trends.

Signal to watch Increased activity and positive engagement indicate strong community interest and potential for broader trend adoption.

Confidence: medium

4. StockX — Sneaker Resale Market Data

Not in registry

Metric/field StockX Market Index: All Sneakers (or similar publicly available index)

Cadence weekly

Why it matters The resale market is a strong indicator of hype, demand, and cultural relevance for sneakers, reflecting both current and future trends.

Signal to watch A rising market index or average price premium suggests strong demand and cultural cachet for key products.

Confidence: medium

5. Eurostat — Retail Trade Volume Index

Not in registry

Metric/field tec00108 (Retail trade volume index for 'textiles, clothing, footwear and leather goods')

Cadence monthly

Why it matters Provides regional insights into consumer spending on theme-relevant categories in major international markets like Europe.

Signal to watch Positive growth in this index indicates healthy consumer demand in key international markets.

Confidence: high

1. Placer.ai — Retail Foot Traffic Analytics

Matched (medium)placer_ai_foot_traffic_visits · access=file · map_only

Metric/field Monthly unique visitor count and visit frequency for specified brand retail locations (e.g., Nike, Adidas, Foot Locker, JD Sports, Arc'teryx, Salomon)

Cadence irregular

Why it matters Directly measures physical store engagement and consumer interest in key brands, indicating potential in-store sales performance.

Signal to watch Increasing foot traffic suggests strong brand appeal and potential for higher sales conversion in physical retail channels.

Confidence: high

2. Similarweb — Digital Research Intelligence

Matchedsimilarweb_digital_marketing_referral_intelligence · access=file · map_only

Metric/field Monthly total visits and average visit duration for specified brand e-commerce domains (e.g., nike.com, adidas.com, jdsports.com, arcteryx.com, salomon.com)

Cadence irregular

Why it matters Tracks online consumer engagement, brand interest, and e-commerce performance, which are critical for modern retail.

Signal to watch Growth in total visits and average visit duration suggests strong online demand and effective digital strategies.

Confidence: high

3. YipitData / Earnest Research — Transaction Data (Credit/Debit Card)

Matched (medium)yipitdata_consumer_transaction_derived_indicators · access=file · map_only

Metric/field Monthly year-over-year spend growth and customer count for specified brands (e.g., Nike, Adidas, Foot Locker, Arc'teryx, Salomon, HOKA, UGG)

Cadence irregular

Why it matters Provides granular insights into actual consumer purchasing behavior and market share shifts for theme constituents.

Signal to watch Positive spend growth and increasing customer acquisition indicate strong brand performance and market penetration.

Confidence: high

4. Sensor Tower / Apptopia — Mobile App Intelligence

Matchedapptopia_app_downloads_rankings · access=file · map_only

Metric/field Monthly downloads and daily active users for specified brand mobile apps (e.g., Nike SNKRS, Adidas Confirmed, Meta View)

Cadence irregular

Why it matters Indicates direct consumer engagement with brand ecosystems and platforms for exclusive releases, crucial for sneaker culture.

Signal to watch Increasing downloads and active users suggest strong brand loyalty and participation in exclusive product drops.

Confidence: medium

5. Descartes Datamyne / Panjiva — Global Trade Data

Not in registry

Metric/field Monthly import volume (in TEUs) of HS Code 64 (Footwear) and HS Code 61/62 (Apparel) from China and Vietnam to USA and EU

Cadence monthly

Why it matters Provides insights into supply chain activity, inventory levels, and anticipated sales volumes for theme-relevant products.

Signal to watch Consistent or increasing import volumes suggest healthy supply chain activity and anticipated consumer demand.

Confidence: medium

1. Will the US and China reach a tariff agreement by December 31, 2026?

Polymarket · Confidence: high

Not in registryaccess=api

Market https://polymarket.com/market/will-us-china-reach-tariff-agreement-by-december-31-2026

Why it matters A tariff agreement between the US and China would directly impact the input costs for many fashion, streetwear, and sneaker companies that source products from China, including theme constituents like Nike, Adidas, Puma, and retailers such as JD Sports and DICK'S. Reduced tariffs would lower costs, potentially improving margins and profitability, while a lack of agreement or increased tariffs could raise costs and negatively affect stock prices. EssilorLuxottica also explicitly notes US tariffs as a headwind to its margins. [cite: AS Ticker_BullBearDetails, AS Ticker_KeyFactors, EL.PA Ticker_BullBearDetails, EL.PA Ticker_TranscriptTidbits]

Series key pm_us_china_tariff_agreement_2026

2. Will US tariff revenue for 2026 be above $X billion?

Kalshi · Confidence: medium

Not in registryaccess=api

Market https://kalshi.com/markets/us-tariff-revenue-2026

Why it matters The overall US tariff revenue for 2026 serves as an aggregate indicator of the tariff burden on imported goods. A higher-than-expected revenue suggests continued or increased tariff impacts, which translates to ongoing cost pressures for companies importing apparel, footwear, and consumer goods relevant to the streetwear and sneaker culture theme. This directly affects their profitability and, consequently, their stock prices.

Series key kalshi_us_tariff_revenue_2026