Database in trading

Price Data: Real-time and historical prices of stocks, commodities, and currencies.
Volume Data: Details on traded quantities within specific timeframes.
Order Book Data: Insights into buy and sell orders at different price levels.
Market Timestamps: Precise timing of trades and market events.

Postgres is an open-source production-ready database with lots of use cases. Mongo is a NoSQL alternative that can sometimes be much faster than SQL databases. Arctic is built upon Mongo to make it even more helpful for those who work with market data, as Arctic supports pandas dataframes and NumPy arrays by default
Chart PatternsTechnical IndicatorslevelsLONGsupportSupport and ResistancetradingTrend Analysis

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