VOOI Academy
  • VOOI Academy: Home
  • Candlestick Analysis
    • Candle Patterns
      • One-Candle Patterns
      • Two-Candle Patterns
      • Three+ Candle Patterns (Part 1)
      • Three+ Candle Patterns (Part 2)
  • 📈 Trading strategies
    • 🛡️ Strategy basics
      • Swing Trading: A Beginner-Friendly Guide
      • Zero-Cost Collar: What It Is and How It Works
      • Calendar Spread: What It Is and How It Works
    • 🧠 Introduction to Trading Psychology and Risk Management
      • Trading Psychology
      • Risk Management
      • Decision-Making Under Uncertainty in Trading
      • Handling Losses & Drawdowns in Trading
      • Developing Discipline & Patience in Trading
    • 📊 Indicators & Tools
      • MA Cross
      • Relative Strength Index (RSI)
      • Accelerator Oscillator (AC)
      • Accumulation/Distribution (A/D) Indicator
      • Accumulative Swing Index (ASI)
      • Advance/Decline Line (A/D Line)
      • Arnaud Legoux Moving Average (ALMA)
      • Aroon Indicator
      • Average Directional Index (ADX)
      • Average Price Indicator
      • Average True Range (ATR)
      • Awesome Oscillator (AO)
      • Balance of Power (BOP)
      • Bollinger Bands
      • Chaikin Money Flow (CMF)
      • Chaikin Oscillator
      • Chaikin Volatility (CV)
      • Chande Kroll Stop
      • Chande Momentum Oscillator (CMO)
      • Chop Zone Indicator
      • Choppiness Index
      • Commodity Channel Index (CCI)
      • Connors RSI: A Powerful Twist on a Classic Indicator
      • Coppock Curve: A Momentum Indicator with Long-Term Vision
      • Correlation – Log: Understanding Market Relationships with Precision
      • Correlation Coefficient Indicator: Understanding Asset Relationships
      • Detrended Price Oscillator (DPO)
      • Directional Movement (DMI)
      • Donchian Channel: Trend Clarity with Simplicity
      • Double Exponential Moving Average (DEMA)
      • Ease Of Movement (EOM)
      • Elder’s Force Index (EFI)
      • Envelopes Indicator
      • Fisher Transform
      • Guppy Multiple Moving Average (GMMA)
      • Historical Volatility (HV)
      • Hull Moving Average (HMA)
      • Ichimoku Cloud
      • Keltner Channels
      • Klinger Oscillator
      • Know Sure Thing (KST)
      • Least Squares Moving Average (LSMA)
      • Linear Regression Curve
      • Linear Regression Slope
      • MA with EMA Cross
      • MACD (Moving Average Convergence Divergence)
      • McGinley Dynamic: A Smarter Moving Average
      • Median Price
      • Momentum Indicator
      • Money Flow Index (MFI)
      • Moving Average (MA)
      • Adaptive Moving Average (AMA)
      • Double Moving Average (DMA)
      • Exponential Moving Average (EMA)
      • Hamming Moving Average (HMA)
      • Moving Average Multiple (MAM)
      • Triple Moving Average (TMA)
      • Weighted Moving Average (WMA)
      • Net Volume
      • On Balance Volume (OBV)
  • Automated Trading
    • Automated Trading vs. Manual Trading
    • Choosing the Right Strategy for Automated Trading
    • Alerts and their importance in automated trading
    • Connecting alerts using API keys
    • Setting up a trading bot for VOOI
  • VOOI
Powered by GitBook
On this page
  • 🔍 What is it?
  • ⚙️ How it works
  • 📖 How to read it
  • ⚙️ Best settings
  • 🧠 How to use it in a strategy
  • ⚠️ Common mistakes
  • 🧠 Final thoughts
  1. 📈 Trading strategies
  2. 📊 Indicators & Tools

Weighted Moving Average (WMA)

PreviousTriple Moving Average (TMA)NextNet Volume

Last updated 6 days ago

🔍 What is it?

The Weighted Moving Average (WMA) is a type of moving average that assigns more importance to recent price data than older data. Unlike the Simple Moving Average (SMA), which gives equal weight to all values in the period, WMA multiplies each price point by a weighting factor, placing greater emphasis on the most recent prices. This makes it more responsive to short-term price movements and potentially more useful in fast-moving markets.

⚙️ How it works

The WMA is calculated by taking the closing prices of a selected number of periods, assigning a weight to each value (with the most recent receiving the highest weight), multiplying each price by its respective weight, summing the results, and then dividing by the total of the weights.

Here’s the formula:

For example, in a 5-period WMA, the most recent price is multiplied by 5, the second most recent by 4, and so on down to 1. The resulting values are summed and divided by the total of the weights (15 in this case: 5+4+3+2+1).

This method provides a smoother line than a raw price chart but one that reacts faster than an SMA to recent price changes.

📖 How to read it

Interpreting the WMA is straightforward and follows similar principles to other moving averages:

  • Upward-sloping WMA: Suggests a bullish trend; recent prices are increasing.

  • Downward-sloping WMA: Indicates a bearish trend; recent prices are declining.

  • Price crossing above the WMA: May signal a potential buying opportunity.

  • Price crossing below the WMA: May signal a potential selling opportunity.

Because the WMA is more sensitive to recent price changes than the SMA, it can be particularly useful for detecting early trend changes, although it may also generate more false signals in choppy or sideways markets.

⚙️ Best settings

The ideal WMA settings depend on the trader's time frame and strategy:

  • Short-term trading: 5–10 period WMA to capture quick market moves.

  • Swing trading: 20–50 period WMA to smooth out short-term noise while identifying medium-term trends.

  • Long-term investing: 100–200 period WMA to observe broader market direction.

Many traders use WMA in combination with other moving averages or indicators. For example, combining a short-term WMA with a long-term WMA can help identify trend shifts through crossovers.

🧠 How to use it in a strategy

Here are a few practical applications of WMA in trading strategies:

1. WMA Crossover Strategy

  • Use a fast (short-period) WMA and a slow (long-period) WMA.

  • A buy signal occurs when the fast WMA crosses above the slow WMA.

  • A sell signal occurs when the fast WMA crosses below the slow WMA.

This helps identify momentum shifts and potential trend reversals.

2. Price-WMA Cross Strategy

  • Buy when the price crosses above the WMA.

  • Sell when the price crosses below the WMA.

  • Add a confirmation indicator (e.g., RSI or MACD) to filter out false signals.

3. Dynamic Support/Resistance

  • Use the WMA as a dynamic support level in an uptrend or resistance in a downtrend.

  • Enter long positions when the price pulls back to the WMA in an uptrend.

  • Enter short positions when the price pulls back to the WMA in a downtrend.

⚠️ Common mistakes

  1. Using the same settings across all timeframes: Shorter periods may cause over-sensitivity, while longer periods might react too slowly. Always adjust WMA settings to fit your trading style and timeframe.

  2. Relying on WMA alone: Like any single indicator, WMA should not be used in isolation. Use it alongside volume analysis, candlestick patterns, or other indicators to validate signals.

  3. Chasing every crossover: The WMA is more sensitive, which means it can generate more false signals, especially during sideways market conditions. Filtering signals with trend confirmation tools helps avoid whipsaws.

  4. Ignoring broader trend context: WMA might show a bullish crossover during a longer-term downtrend. Always consider the bigger picture before making trade decisions.

🧠 Final thoughts

The Weighted Moving Average is a powerful tool for traders who want to give more importance to recent market data. Its responsiveness to price changes makes it especially valuable in volatile markets where quick reaction time is critical. However, like all moving averages, the WMA works best when used in conjunction with other indicators and trading tools.

Whether you're using it to generate signals, spot trends, or find dynamic support/resistance zones, the WMA deserves a place in your technical toolkit — especially if you're looking for more nuanced insight than what a simple moving average can provide.