australian-flight-dataset-2003-2022
From AltData.wiki, The Alternative Data Encyclopedia · updated 2023-05-17
pandeyg0811/australian-flight-dataset-2003-2022 is a Estimates, Events & Fund Flows data product published on Kaggle and indexed by The Alternative Data Encyclopedia.
Pandeyg0811 publishes australian-flight-dataset-2003-2022 as a Kaggle offering in the Estimates, Events & Fund Flows signal family. The listing has drawn 934 downloads and 18 likes on Kaggle.
The data
Pandeyg0811 maintains it as part of its Estimates, Events & Fund Flows portfolio and lists it through Kaggle.
The source tags it with australia, exploratory data analysis and data visualization.
Structure, access and licensing
License: Database: Open Database, Contents: Database Contents. Size: 1627373. Last updated: 2023-05-17.
Access is through a dataset that is downloaded from Kaggle for use in a notebook. Its most recent recorded snapshot is from 2023-05-17.
The signal
Derivatives positioning, options-implied expectations and fund flow data that reveal how investors are positioned and what probabilities markets assign to future events. The category reads the book of bets rather than the assets themselves.
Positioning extremes mark crowded trades vulnerable to squeezes, and changes in net speculative length lead or confirm price trends in commodities and rates. Volatility surface dynamics price event risk — elections, earnings, central-bank meetings — that spot markets only partially reflect, while persistent flow imbalances in passive vehicles create measurable price-pressure effects around rebalances. Systematic strategies overlay these signals on fundamentals to time entries and size risk. Exchange-published commitments of traders break down open interest by participant class each week; volatility indices summarize option prices into forward-looking risk gauges; put-call ratios, skew and term structure track hedging demand. Fund-flow datasets aggregate ETF creations, redemptions and mutual-fund subscriptions into daily sentiment measures by asset and sector.
Regulators publish weekly positioning reports from large-trader data through public portals with historical archives; exchanges compute and disseminate volatility benchmarks from live option quotes. Data vendors clean classifications, back-adjust for contract rolls and merge flows with holdings disclosures to separate active conviction from mechanical indexing.
Caveats and compliance
Weekly positioning lags intraweek regime shifts, and category averages hide dispersion among individual large traders. Volatility indices measure expected variance of one index, not tradable portfolio risk, and flows conflate deliberate views with mechanical dividend reinvestment and tax-driven activity. Crowding signals fail when the crowd is right.
Positioning and flow aggregates are published under market-transparency mandates and carry no personal data at report level, but vendor redistribution of exchange feeds requires licensing. Event-contract and prediction-market products face evolving oversight worth tracking before building signals on them.
Who uses this signal
Macro funds and CTAs trade off positioning and flow momentum; derivatives desks monitor skew for hedging demand; risk teams calibrate stress scenarios from implied distributions. Journalists cite both as sentiment barometers.
Complementary signals
This kind of signal pairs naturally with adjacent categories of the encyclopedia:
Further reading
Discussion
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