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Archives: Web Crawler

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Inventory & Availability Signals: Stock-outs, Ship Times, Backorders

January 25, 2026 | By David Selden-Treiman

Inventory moves faster than earnings. Track SKU-level stock-outs, ship-time drift, and backorders across retailers and regions to detect demand/supply inflections early, then turn it into monitored, backtest-ready alternative data.

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Pricing & Promotions Signals: Tracking Price, Discount Depth, and Assortment

January 24, 2026 | By David Selden-Treiman

Pricing and promotions move faster than earnings. Learn how hedge funds track SKU-level prices, discount depth, and assortment changes using custom web data to detect demand shifts, margin pressure, and competitive dynamics early.

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Demand Signals: What to Crawl to Measure Real-Time Demand

January 23, 2026 | By David Selden-Treiman

Real-time demand shows up on the web before it hits earnings. Track search, inventory, delivery shifts, pricing, marketplace ranks, and reviews to spot inflections early, then convert them into backtest-ready time-series signals.

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Event-Driven Hedge Fund Strategies Powered by Web Crawlers

January 22, 2026 | By David Selden-Treiman

Turn the public web into an early-warning catalyst system. Potent Pages builds bespoke web crawlers that detect market-moving events early, structure signals for backtests, and deliver alerts or APIs your fund controls.

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Macro Signals Generated from Web-Scraped Data

January 21, 2026 | By David Selden-Treiman

Macro signals don’t have to wait for lagged releases. Learn how web-scraped data, prices, inventory, hiring, delivery times, and corporate updates, can be engineered into durable, backtest-ready indicators your fund controls.

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When Web Data Is Directional vs Predictive

January 20, 2026 | By David Selden-Treiman

Not all web data is predictive alpha. Some signals are directional, useful for context, confirmation, and risk overlays. Others can be engineered into stable, backtest-ready features with measurable lift. Know which is which.

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Web Crawlers for Long/Short Equity Hedge Funds

January 19, 2026 | By David Selden-Treiman

Custom web crawlers give long/short equity funds earlier signals from the public web, pricing, inventory, sentiment, hiring, and competitor moves, delivered as clean, backtest-ready time-series data you fully control.

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Separating Noise from Signal in Large-Scale Web Data

January 18, 2026 | By David Selden-Treiman

Turn web-scale crawling into investable alternative data. Learn how hedge funds separate signal from noise using bespoke pipelines: deduping, change detection, normalization, and monitoring for durable, backtest-ready time-series outputs.

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Feature Engineering for Web-Scraped Financial Signals

January 17, 2026 | By David Selden-Treiman

Turn messy web data into investable signals. Learn how hedge funds use feature engineering to normalize pricing, inventory, hiring, and narrative data into point-in-time, backtest-ready indicators with monitoring and drift detection.

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Cleaning, Normalizing, and Structuring Web Data for Investment Use

January 16, 2026 | By David Selden-Treiman

Scraping is easy. Making web data investable is the hard part. Learn how cleaning, normalization, and structuring turn noisy pages into stable, backtest-ready time series hedge funds can trust and deploy.

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