Loading...
Loading...
Found 17 Skills
Implement Syncfusion Angular Stock Chart component for displaying financial data and OHLC charts. Use this skill whenever users need to create stock charts, display candlestick or OHLC data, add technical indicators, implement date range selection, or work with time-series financial visualization. Includes series types, axis customization, interactive features, and export capabilities.
Generate trading signals using technical indicators (RSI, MACD, Bollinger Bands, etc.). Combines multiple indicators into composite signals with confidence scores. Use when analyzing assets for trading opportunities or checking technical indicators. Trigger with phrases like "get trading signals", "check indicators", "analyze for entry", "scan for opportunities", "generate buy/sell signals", or "technical analysis".
Implement Syncfusion Blazor Stock Chart (SfStockChart) for financial data visualization. Use this when working with stock charts, candlestick displays, OHLC data, or technical indicators like SMA, EMA, MACD, and Bollinger Bands. This skill covers period selectors, range navigation, and financial time-series data visualization in Blazor applications.
Implements the Syncfusion React Stock Chart component for visualizing financial and market data. Use this when users need stock price visualization, OHLC charts, candlestick charts, or trading chart interfaces. Supports multiple series types, period selectors, range navigators, technical indicators (e.g., SMA, MACD, Bollinger Bands), and interactive analysis tools for financial data in React applications.
Compute market-data and trading analytics with the `fintech-algorithms` npm package — 324 zero-dependency TypeScript algorithms covering technical indicators (RSI, MACD, moving averages, Bollinger Bands, ATR, OBV, Stochastic), candlestick and chart patterns, market breadth, bar construction from tick data, OHLC validation and cleaning, corporate actions, index and benchmark construction, market microstructure, matching engines, execution and TCA, statistical time series, on-chain metrics and EPS analytics. Use when asked to analyse a price series, compute or explain an indicator, detect a candlestick or chart pattern, build bars from ticks, validate or clean market data, wire up a market-data provider, or when writing code that needs any of these calculations to be correct rather than approximated.