AAPL 2022 — Interactive Technical Analysis (Light Theme)

🔍 One of the major goals of market analysis is to understand how prices move and how trends/cycles emerge over time.

But explaining these dynamics is tricky—even for practitioners. As any trader will tell you: sometimes, explaining risk management to a newcomer is harder than placing the trades themselves! 😅

📉 The Reality Behind Price Action

Markets don’t move in straight lines. They trend, consolidate, and revert—these are the rhythms of price cycles.

Understanding these movements helps to:

• anticipate momentum shifts,
• design robust trading/hedging rules, and
• make more informed portfolio decisions.

I illustrated this by analyzing Apple (AAPL) over 2022 using classic technical indicators:

• EMA20 & EMA50 (trend)
• Bollinger Bands (20,2) (volatility envelope)
• RSI(14) (momentum)
• Volume (M) (participation)

📊 Visualization

Legend:

• Candlesticks: Daily price
• EMA20 / EMA50: Short/medium-term trend
• Bollinger (20,2): Upper/Lower bands + midline
• RSI(14): Momentum gauge
• Volume (M): Traded volume in millions

🧰 Methodology & Data

• Period: 2022-01-01 → 2023-01-01
• Data source: Yahoo Finance via yfinance
• Indicators: EMA20/50, Bollinger(20,2), RSI(14), Volume
• Tools used: Python (pandas, plotly, talib)

🧠 Why It Matters

Whether in cooking, medicine, or markets—precision matters.

• In cooking: a wrong dose can ruin the dish.
• In medicine: a milligram too much can have serious consequences.
• In trading: misreading a signal or reacting late can deepen drawdowns or miss opportunities.

📚 Suggested Readings

• Murphy, J. (1999) — Technical Analysis of the Financial Markets
• Elder, A. (2014) — The New Trading for a Living

🏷️ Tags

#AAPL, #TechnicalAnalysis, #EMA, #BollingerBands, #RSI, #Volume, #Plotly, #Python, #yfinance