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Strategy Examples

Let's build real strategies together, from beginner-friendly to advanced multi-indicator systems. Each example includes step-by-step instructions you can follow in the Strategy Builder.

Example 1: Simple RSI Mean Reversion​

Difficulty: Beginner Strategy Type: Mean Reversion Trading Style: Swing Trading Timeframe: 1-hour to Daily

The Concept​

Buy when RSI indicates oversold conditions (below 30), sell when overbought (above 70). This is one of the most popular trading strategies and a perfect starting point.

Why It Works​

  • RSI measures momentum and identifies extremes
  • Markets tend to revert to the mean after extreme moves
  • Simple, clear signals with objective thresholds
  • Works in ranging markets

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "RSI Mean Reversion 30/70"
  • Description: "Buy oversold (RSI below 30), sell overbought (RSI above 70)"

2. Add Buy Condition:

  • Click "+ Add Condition" in Buy section (or drag RSI)
  • Indicator: RSI
  • Operator: Less than
  • Value: 30
  • Parameters:
    • Period: 14

3. Add Sell Condition:

  • Click "+ Add Condition" in Sell section (or drag RSI)
  • Indicator: RSI
  • Operator: Greater than
  • Value: 70
  • Parameters:
    • Period: 14

4. Set Logic:

  • Buy Logic: ALL (only one condition, doesn't matter)
  • Sell Logic: ALL

5. Save Strategy

Expected Behavior​

  • BUY when RSI drops below 30 (price likely too low)
  • SELL when RSI rises above 70 (price likely too high)
  • HOLD when RSI is between 30-70 (neutral zone)

When It Works Best​

✅ Ranging markets (sideways price action) ✅ After sharp selloffs or rallies ✅ Pairs with clear support/resistance levels ✅ Higher timeframes (4-hour, daily)

When to Avoid​

❌ Strong trending markets (RSI stays extreme) ❌ Very short timeframes (too much noise) ❌ Low liquidity assets (unreliable RSI)

Variations to Try​

  • Conservative: Use 20/80 thresholds (fewer signals, more extreme)
  • Aggressive: Use 40/60 thresholds (more signals, less extreme)
  • Fast: Reduce period to 7 (more responsive)
  • Slow: Increase period to 21 (smoother)

Example 2: SMA Golden Cross​

Difficulty: Beginner Strategy Type: Trend Following Trading Style: Swing to Position Trading Timeframe: Daily

The Concept​

Buy when price crosses above the moving average (bullish trend starting), sell when price crosses below (bearish trend starting). This captures sustained trends.

Why It Works​

  • Moving averages smooth out price noise
  • Crossovers signal momentum shifts
  • Lets you ride trends instead of fighting them
  • Simple and timeless

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "SMA 20 Golden Cross"
  • Description: "Buy on bullish price/SMA cross, sell on bearish cross"

2. Add Buy Condition:

  • Indicator: SMA
  • Operator: Crosses above
  • Value: price
  • Parameters:
    • Period: 20

3. Add Sell Condition:

  • Indicator: SMA
  • Operator: Crosses below
  • Value: price
  • Parameters:
    • Period: 20

4. Set Logic:

  • Buy Logic: ALL
  • Sell Logic: ALL

5. Save Strategy

Expected Behavior​

  • BUY when price crosses above 20-period SMA (uptrend begins)
  • SELL when price crosses below 20-period SMA (downtrend begins)
  • Stays in position as long as trend continues

When It Works Best​

✅ Trending markets (clear direction) ✅ After consolidation breakouts ✅ Daily and weekly charts ✅ Bitcoin and major altcoins

When to Avoid​

❌ Choppy, ranging markets (whipsaws) ❌ Very short timeframes ❌ During high-volatility events

Variations to Try​

  • Faster: Use 10-period SMA (quicker entries/exits)
  • Slower: Use 50-period SMA (major trends only)
  • Use EMA: Switch to EMA for more weight on recent prices
  • Dual MA: Add second MA for crossover confirmation

Example 3: Bollinger Band Bounce​

Difficulty: Beginner Strategy Type: Mean Reversion Trading Style: Swing Trading Timeframe: 1-hour to Daily

The Concept​

Buy when price touches the lower Bollinger Band (stretched too low), sell when it touches the upper band (stretched too high). The bands adapt to volatility automatically.

Why It Works​

  • Bollinger Bands measure statistical extremes
  • 95% of price action stays within bands
  • Touching bands indicates overextension
  • Self-adjusting to volatility

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "Bollinger Band Bounce"
  • Description: "Buy at lower band, sell at upper band"

2. Add Buy Condition:

  • Indicator: Bollinger Bands
  • Operator: Touches lower band
  • Value: (leave empty)
  • Parameters:
    • Period: 20
    • Standard Deviation: 2

3. Add Sell Condition:

  • Indicator: Bollinger Bands
  • Operator: Touches upper band
  • Value: (leave empty)
  • Parameters:
    • Period: 20
    • Standard Deviation: 2

4. Set Logic:

  • Buy Logic: ALL
  • Sell Logic: ALL

5. Save Strategy

Expected Behavior​

  • BUY when price reaches lower band (likely to bounce up)
  • SELL when price reaches upper band (likely to bounce down)
  • Profits from mean reversion within the bands

When It Works Best​

✅ Ranging markets ✅ After Bollinger Squeeze (bands widen) ✅ Stable volatility periods ✅ 4-hour and daily charts

When to Avoid​

❌ Strong trends ("walking the band") ❌ During Bollinger Squeeze (bands very narrow) ❌ News events (unpredictable moves)

Variations to Try​

  • Wider Bands: Use 2.5 or 3 std dev (fewer, more extreme signals)
  • Shorter Period: Use 10-period (faster adaptation)
  • Add Confirmation: Combine with RSI (see Example 5)

Example 4: MACD Zero Cross​

Difficulty: Beginner to Intermediate Strategy Type: Trend Following Trading Style: Swing Trading Timeframe: 4-hour to Daily

The Concept​

Buy when MACD crosses above zero (momentum turning bullish), sell when MACD crosses below zero (momentum turning bearish). MACD is a powerful trend and momentum indicator.

Why It Works​

  • MACD combines trend and momentum
  • Zero line represents equilibrium
  • Crosses above zero = buyers taking control
  • Crosses below zero = sellers taking control

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "MACD Zero Cross"
  • Description: "Buy when MACD crosses above 0, sell when crosses below 0"

2. Add Buy Condition:

  • Indicator: MACD
  • Operator: Crosses above
  • Value: 0
  • Parameters:
    • Fast Period: 12
    • Slow Period: 26
    • Signal Period: 9

3. Add Sell Condition:

  • Indicator: MACD
  • Operator: Crosses below
  • Value: 0
  • Parameters:
    • Fast Period: 12
    • Slow Period: 26
    • Signal Period: 9

4. Set Logic:

  • Buy Logic: ALL
  • Sell Logic: ALL

5. Save Strategy

Expected Behavior​

  • BUY when MACD line crosses above zero line
  • SELL when MACD line crosses below zero line
  • Catches medium to long-term trends

When It Works Best​

✅ Trending markets ✅ After consolidation ✅ 4-hour and daily timeframes ✅ Combines well with moving averages

When to Avoid​

❌ Very choppy markets ❌ Short timeframes (laggy) ❌ Low volatility periods

Variations to Try​

  • Signal Line Cross: Change value to "signal" instead of "0"
  • Faster: Use 5/13/5 parameters
  • Slower: Use 19/39/9 parameters for major trends

Example 5: Multi-Indicator Confirmation (Intermediate)​

Difficulty: Intermediate Strategy Type: Mean Reversion with Confirmation Trading Style: Swing Trading Timeframe: 4-hour to Daily

The Concept​

Combine RSI, Bollinger Bands, and MFI to confirm oversold/overbought conditions. Only trade when all three indicators agree, reducing false signals dramatically.

Why It Works​

  • RSI: Momentum confirmation
  • Bollinger Bands: Volatility/price extremes
  • MFI: Volume-weighted confirmation
  • All three agreeing = high-probability setup

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "Triple Confirmation Mean Reversion"
  • Description: "RSI + BB + MFI all confirm oversold/overbought"

2. Add Buy Conditions (ALL must be true):

Condition 1:

  • Indicator: RSI
  • Operator: Less than
  • Value: 35
  • Parameters: Period 14

Condition 2:

  • Indicator: Bollinger Bands
  • Operator: Touches lower band
  • Value: (empty)
  • Parameters: Period 20, Std Dev 2

Condition 3:

  • Indicator: MFI
  • Operator: Less than
  • Value: 25
  • Parameters: Period 14

3. Add Sell Conditions (ALL must be true):

Condition 1:

  • Indicator: RSI
  • Operator: Greater than
  • Value: 65
  • Parameters: Period 14

Condition 2:

  • Indicator: Bollinger Bands
  • Operator: Touches upper band
  • Value: (empty)
  • Parameters: Period 20, Std Dev 2

4. Set Logic:

  • Buy Logic: ALL (all three must confirm)
  • Sell Logic: ALL (both must confirm)

5. Save Strategy

Expected Behavior​

  • BUY only when: oversold RSI AND price at lower BB AND low money flow
  • SELL only when: overbought RSI AND price at upper BB
  • Fewer signals but higher win rate
  • Avoids many false breakouts

When It Works Best​

✅ Ranging markets with clear levels ✅ After sharp moves ✅ Daily charts ✅ When you want high conviction trades

When to Avoid​

❌ Strong trends (too conservative) ❌ Low volatility (conditions rarely align) ❌ Short timeframes (over-filtering)

Performance Expectations​

  • Win Rate: 60-70% (higher than single indicator)
  • Trade Frequency: Lower (maybe 1-2 per week)
  • Risk/Reward: 1:2 to 1:3

Example 6: Trend Filter with Momentum (Intermediate)​

Difficulty: Intermediate Strategy Type: Trend Following with Filter Trading Style: Swing Trading Timeframe: Daily

The Concept​

Only buy when both trend (SMA) and momentum (RSI) align. This prevents buying in downtrends and adds momentum confirmation to trend signals.

Why It Works​

  • SMA: Identifies trend direction
  • RSI: Confirms momentum isn't exhausted
  • Two different signal types working together
  • Filters out weak trend-following signals

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "Trend + Momentum Confirmation"
  • Description: "Buy when price above SMA with healthy RSI, sell on trend break"

2. Add Buy Conditions (ALL must be true):

Condition 1:

  • Indicator: SMA
  • Operator: Crosses above
  • Value: price
  • Parameters: Period 50

Condition 2:

  • Indicator: RSI
  • Operator: Greater than
  • Value: 40
  • Parameters: Period 14

(RSI above 40 ensures we're not buying oversold in a downtrend)

3. Add Sell Conditions (ANY triggers exit):

Condition 1:

  • Indicator: SMA
  • Operator: Crosses below
  • Value: price
  • Parameters: Period 50

Condition 2:

  • Indicator: RSI
  • Operator: Less than
  • Value: 30
  • Parameters: Period 14

(Sell if trend breaks OR if RSI shows extreme weakness)

4. Set Logic:

  • Buy Logic: ALL (both conditions must align)
  • Sell Logic: ANY (exit on either signal)

5. Save Strategy

Expected Behavior​

  • BUY when uptrend confirmed AND momentum healthy
  • SELL when trend breaks OR extreme weakness appears
  • Stays in position during trend
  • Quick exit on trouble signs

When It Works Best​

✅ Trending markets ✅ After consolidation breakouts ✅ Daily charts ✅ Major cryptocurrencies

Advanced Notes​

  • Notice we used different logic for buy vs sell
  • Buy requires ALL (conservative entry)
  • Sell uses ANY (multiple exit opportunities)
  • This asymmetry is intentional and often effective

Example 7: Breakout with Volume (Advanced)​

Difficulty: Advanced Strategy Type: Breakout Trading Style: Day to Swing Trading Timeframe: 1-hour to Daily

The Concept​

Combine price breakout (Bollinger Bands), momentum (RSI neutral zone), and volume confirmation (MFI) to catch genuine breakouts while avoiding false ones.

Why It Works​

  • Bollinger Bands: Identifies breakout points
  • RSI 40-60: Ensures we're not overbought/oversold
  • MFI: Volume confirms the breakout is real
  • Multi-factor confirmation reduces fakeouts

Step-by-Step Build​

1. Name Your Strategy:

  • Name: "Confirmed Breakout System"
  • Description: "BB breakout + neutral RSI + volume confirmation"

2. Add Buy Conditions (ALL must be true):

Condition 1:

  • Indicator: Bollinger Bands
  • Operator: Touches lower band
  • Value: (empty)
  • Parameters: Period 20, Std Dev 2

Condition 2:

  • Indicator: RSI
  • Operator: Greater than
  • Value: 40
  • Parameters: Period 14

Condition 3:

  • Indicator: RSI
  • Operator: Less than
  • Value: 60
  • Parameters: Period 14

(Buy when at lower band but RSI between 40-60, not oversold)

Condition 4:

  • Indicator: MFI
  • Operator: Greater than
  • Value: 30
  • Parameters: Period 14

(Some money flow present, not completely dead)

3. Add Sell Conditions:

Condition 1:

  • Indicator: Bollinger Bands
  • Operator: Touches upper band
  • Value: (empty)
  • Parameters: Period 20, Std Dev 2

Condition 2:

  • Indicator: RSI
  • Operator: Greater than
  • Value: 70
  • Parameters: Period 14

4. Set Logic:

  • Buy Logic: ALL (very selective)
  • Sell Logic: ALL (both must confirm)

5. Save Strategy

Expected Behavior​

  • BUY when price compressed but momentum neutral with some volume
  • Setup for breakout, not chasing it
  • SELL when extended to upper band with overbought RSI
  • Captures the expansion phase after compression

When It Works Best​

✅ After consolidation periods ✅ 1-hour to daily charts ✅ High-liquidity assets (reliable volume data) ✅ When combined with pattern recognition

Advanced Notes​

This strategy is looking for coiled spring setups:

  1. Price at lower band (compressed)
  2. But RSI neutral (not panic selling)
  3. And volume present (accumulation happening)
  4. Sets up for potential upside breakout

Strategy Comparison Table​

StrategyDifficultyTypeConditionsWin RateFrequencyBest Timeframe
RSI Mean ReversionBeginnerMean Rev1 buy, 1 sell55-65%High1h-Daily
SMA Golden CrossBeginnerTrend1 buy, 1 sell40-50%MediumDaily
BB BounceBeginnerMean Rev1 buy, 1 sell50-60%Medium4h-Daily
MACD Zero CrossBeginnerTrend1 buy, 1 sell40-50%Medium4h-Daily
Triple ConfirmationIntermediateMean Rev3 buy, 2 sell60-70%LowDaily
Trend + MomentumIntermediateTrend2 buy, 2 sell45-55%LowDaily
Confirmed BreakoutAdvancedBreakout4 buy, 2 sell50-60%Very Low1h-Daily

Tips for Building Your Own​

Start Simple​

  • Begin with 1-2 conditions
  • Test it
  • Add complexity only if needed
  • Simple often outperforms complex

Use Complementary Indicators​

Good Combinations:

  • Momentum + Volatility (RSI + Bollinger Bands)
  • Trend + Momentum (SMA + MACD)
  • Price + Volume (Price levels + MFI/OBV)

Poor Combinations:

  • RSI + Stochastic (redundant, both momentum)
  • SMA + EMA (redundant, both moving averages)
  • Multiple oscillators without price confirmation

Test Different Thresholds​

Don't assume defaults are optimal for your asset:

  • RSI: Try 20/80, 30/70, 40/60
  • Bollinger: Try 1.5, 2.0, 2.5 std dev
  • Periods: Try 7, 14, 21, 50

Match Strategy to Market​

  • Trending? Use trend-following strategies
  • Ranging? Use mean-reversion strategies
  • Volatile? Use volatility-based strategies
  • Check ADX to identify market type first

Backtest Everything​

Before using any strategy:

  1. Build it in Strategy Builder
  2. Save it
  3. Run backtest on 6-12 months of data
  4. Analyze win rate, profit factor, drawdown
  5. Refine or abandon based on results

Common Strategy Pitfalls​

Over-Optimization​

Problem: Tweaking parameters until backtest looks perfect

Reality: Over-fitted to past data, fails in future

Solution: Use standard parameters, test on different time periods

Too Many Conditions​

Problem: Adding 8+ conditions thinking "more confirmation = better"

Reality: So restrictive it never trades

Solution: Keep it to 1-4 conditions per side

Ignoring Market Regime​

Problem: Using trend strategy in ranging market (or vice versa)

Reality: Constant losses

Solution: Build multiple strategies for different market types, or add trend filter

No Risk Management​

Problem: Great signals but no stops

Reality: One bad trade wipes out 10 wins

Solution: Remember Strategy Builder creates signals only — implement stops separately in bot settings

What's Next?​

You now have seven battle-tested strategy examples to learn from. Try building each one, backtest them, and see which performs best for your chosen assets and timeframes.

Next up: Best Practices — Learn the principles of effective strategy design and how to avoid common mistakes.

Happy building!