NVDA 2024 — Interactive Technical Analysis

🔍 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! 😅

👉 Launch the Interactive App ▶

📉 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 NVIDIA (NVDA) in 2024 using classic technical indicators:

• SMA20 (short-term trend)
• Bollinger Bands (20,2) (volatility envelope)
• RSI(14) (momentum)
• MACD(12,26,9) (trend/momentum crossover)

📊 Visualization

Legend:

• Candlesticks: Daily price
• SMA20: Moving average (trend)
• Bollinger (20,2): Upper/Lower volatility bands + midline
• RSI(14): Overbought/oversold gauge
• MACD(12,26,9): MACD line, signal line, and histogram

🧰 Methodology & Data

• Period: 2024-01-01 → 2024-12-31
• Data source: Yahoo Finance via yfinance
• Indicators: SMA20, Bollinger(20,2), RSI(14), MACD(12,26,9)
• 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

#NVDA, #TechnicalAnalysis, #BollingerBands, #RSI, #MACD, #SMA, #Plotly, #Python, #yfinance