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Looking for options to visualize large market timeseries data

The cufflinks package in Python might suit this purpose well (its a wrapper around plotly). It makes it easy to produce common financial charts. Here's a article someone wrote that you might find ...
cdatwork's user avatar
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Interpreting tick by tick stock data

Maybe the trades occurred on separate markets/exhanges (e.g., NYSE vs. CBOE) or maybe different trading codes (e.g., "bunched sold trade" vs. "intermarket sweep").
cdatwork's user avatar
1 vote

General conventions in Futures prices for commodity

In my opinion, when market participants feel that insufficient liquidity causes bid-offer spreads that are too wide for their preferences, difficulties in reassignment, and similar problems, they seek ...
Dimitri Vulis's user avatar

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