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Pivot Points

Database in trading SQL remains a fundamental tool for querying and managing data. SQL's simplicity and power make it accessible to both beginners and experts. In trading systems, SQL enables efficient data retrieval and manipulation. Users can write SQL queries to analyze market trends and execute trading strategies. 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.
NSE:AXISBANKEducation
by SkyTradingZone
3
How to draw support and resistance The most reliable source for identifying support and resistance levels is historical prices, making them invaluable to traders. The key is to familiarise yourself with past patterns – sometimes from very recent activity – so you can recognise them if they appear again. Simply mark visible highs and lows on your chart; the higher highs and lower highs will serve as resistance levels, whereas the lower lows and higher lows will serve as support levels. It is always recommended that these lines are marked on longer timeframes to have reliable support and resistance levels.
NSE:IGLEducation
by SkyTradingZone