SMA Overview

Simple Moving Average (SMA) is a trend-following overlay indicator that smooths price data to identify the underlying trend direction — filtering out short-term noise to reveal whether price is generally moving up or down.

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How Simple Moving Average Works

Core Concept

1. Apply Simple arithmetic average: Gives equal weight to all bars in the period, providing the smoothest representation of average price
2. Plot on Chart: SMA line overlays directly on the price chart
3. Compare to Price: When price is above SMA, trend is bullish; below = bearish
4. Detect Crosses: Price crossing above/below SMA signals potential trend changes

Key Characteristics:

• Trend Filter = SMA smooths price to show direction, removing noise
• Dynamic Support/Resistance = SMA line acts as a moving support (uptrend) or resistance (downtrend) level
• Gives equal weight to all bars in the period
• Period Sensitivity = Shorter periods react faster but produce more whipsaws; longer periods are smoother but lag more

Visual Interpretation

SMA Behavior:

• SMA line smooths price action to show the dominant trend
• When price crosses above SMA, momentum shifts bullish
• When price crosses below SMA, momentum shifts bearish
• The slope of SMA indicates trend strength — steeper = stronger
• SMA acts as dynamic support in uptrends and resistance in downtrends

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Trading Signals Available on Reversion

These are the signal names you select when configuring SMA in the algorithm builder or via the MCP agent:

Signal	Triggers When	Typical Use
price_above_sma	Price is above the SMA line	Bullish — price trending above SMA
price_below_sma	Price is below the SMA line	Bearish — price trending below SMA

Display: Overlay (on price chart)

Category: Trend

Threshold range: Price-based (compared to actual price values)

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Key Characteristics

Strengths

What Simple Moving Average Does Well:

• Trend Identification: SMA clearly shows whether price is in an uptrend or downtrend
• Dynamic Support/Resistance: Acts as a moving level that price tends to respect
• Noise Filtering: Smooths out random price fluctuations to reveal the true trend
• Universal Application: Works across all assets and timeframes with period adjustments

Limitations

What to Watch Out For:

• Lagging Indicator: All moving averages lag price — signals come after the move has started
• Whipsaws in Ranges: Frequent false crosses during sideways/choppy markets
• No Momentum Measurement: Shows direction but not the strength of the trend
• Period Trade-off: No single period works perfectly — shorter = responsive but noisy, longer = smooth but late

Best Use Cases

When to Use Simple Moving Average:

• Trend Direction Filter: Use price_above_sma to confirm bullish bias before entering longs
• Support/Resistance Trading: Buy bounces off the MA in uptrends, sell rejections in downtrends
• Combine with Momentum: Pair with RSI or MACD for entry timing within the trend

When NOT to Use Simple Moving Average:

• Ranging/Choppy Markets: Price crosses the MA frequently with no follow-through
• Standalone Entry Signal: MA crosses alone have poor win rates — always combine with confirmation

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Note

Pro Tip: The most reliable SMA setups combine trend direction with momentum confirmation. Use price_above_sma as a filter (not an entry signal) — only take long trades when price is above SMA, then use a momentum indicator (RSI oversold, MACD cross) for precise entry timing. This avoids the biggest MA pitfall: whipsaws in ranging markets.