technical-analysis

To analyze stock price action using Wyckoff market structure, load OHLCV data feeds to compute MA20/MA50, swing points, and volume patterns. This identifies accumulation, distribution, breakouts, and optimal entry/exit points across multiple timeframes.

Detecting accumulation and distribution phases in IDX stocks requires analyzing price-volume signals alongside swing highs and lows. This approach validates Wyckoff phases and volume patterns to generate actionable trading insights and clear execution frameworks.

Yes, you can use Python libraries like pandas, numpy, and mplfinance for stock chart rendering and analysis. Loading OHLCV dataset feeds allows the computation of indicator calculations and renders context, recent, and detail charts for review.

Identify support and resistance levels with volume patterns by detecting swing highs and lows, VPVR, and confluence fibs. This generates zone-based S/R levels that guide entries, risk management, and stop-loss guidance for disciplined trading.

Wyckoff-based technical analysis provides entry and exit frameworks with risk controls by applying the 1% rule and stop-loss guidance. It combines trend direction, MA checks, and price action patterns to define execution and risk management.