Understanding Strategy Presets
Kelor provides 50+ pre-built trading strategies that you can use immediately. Each strategy has been carefully designed with sound trading principles and comes with customizable parameters to fit your trading style.
What Are Strategy Presets?
Strategy presets are ready-to-use trading algorithms that automatically execute buy and sell orders based on technical analysis. Instead of building strategies from scratch, you can:
- Choose a preset that matches your trading goals
- Customize the parameters to optimize performance
- Backtest against historical data
- Deploy with paper or real money
Think of presets as "trading recipes" — proven formulas that work, which you can adjust to taste.
Strategy Categories
Kelor organizes strategies into five main categories based on how they approach the market:
1. Mean Reversion Strategies
Philosophy: "What goes up must come down (and vice versa)"
These strategies profit when prices return to their average after extreme movements.
- When they work best: Ranging, sideways markets
- Key principle: Buy oversold, sell overbought
- Risk: Can struggle in strong trending markets
- Examples: Bollinger Bands, RSI, Stochastic Oscillator
Best for: Traders who believe markets overreact and eventually correct.
2. Trend Following Strategies
Philosophy: "The trend is your friend"
These strategies identify and ride existing trends until they show signs of ending.
- When they work best: Strong trending markets (bull or bear)
- Key principle: Buy when uptrend confirmed, sell when downtrend confirmed
- Risk: Can lose money during choppy, directionless markets
- Examples: EMA Crossover, MACD, Supertrend
Best for: Traders who want to capture large moves and are okay with some false starts.
3. Breakout Strategies
Philosophy: "Big moves follow consolidation"
These strategies enter trades when price breaks through key support or resistance levels.
- When they work best: After periods of low volatility (consolidation)
- Key principle: Enter on breakout, ride the momentum
- Risk: False breakouts can trigger losses
- Examples: High/Low Breakout, Donchian Breakout, Triangle Breakout
Best for: Traders who want to catch the beginning of strong moves.
4. Volatility-Based Strategies
Philosophy: "Trade based on market energy levels"
These strategies adjust their behavior based on how much prices are moving (volatility).
- When they work best: All market conditions (they adapt)
- Key principle: Trade more aggressively in high volatility, conservatively in low volatility
- Risk: Requires more sophisticated risk management
- Examples: ATR Bands, Bollinger Band Squeeze, Keltner Channels
Best for: Traders who want strategies that adapt to changing market conditions.
5. Volume-Based Strategies
Philosophy: "Volume confirms price movements"
These strategies use trading volume to confirm the strength of price movements.
- When they work best: When volume patterns are clear and consistent
- Key principle: High volume confirms trends, low volume warns of weakness
- Risk: Not all markets have reliable volume data
- Examples: Volume Breakout, OBV Divergence, Accumulation/Distribution
Best for: Traders who believe volume tells the truth about market conviction.
How to Choose the Right Strategy
Step 1: Identify Your Trading Style
Day Trader (hold minutes to hours)
- Recommended: Breakout strategies, short-period mean reversion
- Avoid: Long-term trend following
- Best presets: High/Low Breakout, RSI (with shorter periods)
Swing Trader (hold days to weeks)
- Recommended: Trend following, medium-term mean reversion
- Works well with: Most strategy types
- Best presets: EMA Crossover, Bollinger Bands, MACD
Position Trader (hold weeks to months)
- Recommended: Long-term trend following
- Avoid: Short-term mean reversion
- Best presets: SMA Crossover, ADX Trend Filter, Turtle Trading
Step 2: Assess Current Market Conditions
Trending Market (clear direction)
- Use: Trend Following or Breakout strategies
- Avoid: Mean Reversion strategies
- Check: ADX indicator (above 25 = trending)
Ranging Market (sideways movement)
- Use: Mean Reversion strategies
- Avoid: Trend Following strategies
- Check: ADX indicator (below 20 = ranging)
High Volatility (large price swings)
- Use: Volatility-Based strategies
- Adjust: Wider stops, smaller position sizes
- Check: ATR or Bollinger Band width
Low Volatility (quiet markets)
- Use: Breakout strategies (anticipating next big move)
- Avoid: Strategies requiring clear trends
- Check: Bollinger Band squeeze signals
Step 3: Consider Your Risk Tolerance
Conservative (capital preservation)
- Look for: Strategies with high win rates (60%+)
- Accept: Smaller profits per trade
- Best: Mean reversion with tight stops
- Examples: RSI, Stochastic, Bollinger Bands
Moderate (balanced approach)
- Look for: Strategies with good risk/reward ratio (1:2 or better)
- Accept: Moderate drawdowns (10-20%)
- Best: Trend following with filters
- Examples: EMA Crossover, MACD, ADX Trend Filter
Aggressive (maximize returns)
- Look for: Strategies with high profit potential
- Accept: Larger drawdowns (20-30%+)
- Best: Breakout and momentum strategies
- Examples: Donchian Breakout, Turtle Trading, Supertrend
Understanding Strategy Parameters
Every strategy preset comes with configurable parameters. Here's what they typically control:
Common Parameters
Period (e.g., 14, 20, 50)
- What it controls: How much historical data is used
- Shorter period (5-14): More responsive, more signals, more false signals
- Medium period (15-30): Balanced
- Longer period (50-200): Slower, fewer signals, more reliable
Threshold Levels (e.g., oversold 30, overbought 70)
- What it controls: When the strategy triggers trades
- Lower thresholds: More aggressive, more trades
- Higher thresholds: More conservative, fewer trades
Multipliers (e.g., 2.0, 3.0)
- What it controls: Width of bands or stop distance
- Lower multiplier: Tighter bands, more signals, more whipsaws
- Higher multiplier: Wider bands, fewer signals, more reliable
Confirmation Settings (true/false)
- What it controls: Whether additional filters are applied
- Enabled: Fewer trades, higher quality
- Disabled: More trades, more false signals
Strategy Performance Metrics
When evaluating strategies, pay attention to these metrics:
Win Rate
What it means: Percentage of profitable trades
- Above 60% = Very good for mean reversion
- Above 40% = Good for trend following
- Below 40% = Strategy may need adjustment or isn't suited for current market
Important: High win rate doesn't guarantee profitability! A strategy with 40% win rate but 1:3 risk/reward can be very profitable.
Profit Factor
What it means: Total profits / Total losses
- Above 2.0 = Excellent
- 1.5-2.0 = Good
- 1.2-1.5 = Acceptable
- Below 1.2 = Poor, needs optimization or different strategy
Maximum Drawdown
What it means: Largest peak-to-valley decline
- Below 15% = Conservative
- 15-25% = Moderate
- 25-40% = Aggressive
- Above 40% = Very risky, consider reducing position size
Important: Can you emotionally handle this drawdown? If not, choose a different strategy.
Sharpe Ratio
What it means: Risk-adjusted returns (higher is better)
- Above 2.0 = Excellent
- 1.0-2.0 = Good
- 0.5-1.0 = Acceptable
- Below 0.5 = Poor risk/reward balance
Number of Trades
What it means: How often the strategy trades
- High frequency (100+ trades): Good for statistics, requires low fees
- Medium frequency (20-100 trades): Balanced
- Low frequency (less than 20 trades): Fewer fees, but limited statistical significance
The Kelor Advantage
Pre-Tested Strategies
Each preset has been:
- Tested across multiple market conditions
- Optimized for common timeframes
- Documented with clear rationale
Customizable Parameters
Every strategy allows you to:
- Adjust indicator periods
- Fine-tune thresholds
- Enable/disable filters
- Optimize for your trading style
Continuous Improvement
The Kelor team:
- Regularly adds new strategy presets
- Tests strategies across different markets
- Updates documentation with best practices
- Shares community insights on what's working
Note: The number and variety of strategies will grow over time. Check back regularly for new additions!
Getting Started
Ready to choose your first strategy? Here's the process:
- Browse the categories in this section
- Read about 3-5 strategies that sound interesting
- Pick one strategy to start with
- Backtest it with default parameters first
- Adjust parameters based on results
- Paper trade for at least 2-4 weeks
- Go live when consistently profitable
Important Tips:
- Start with one strategy — don't try multiple at once
- Use default parameters initially — they're set for good reason
- Backtest thoroughly — test on at least 6-12 months of data
- Paper trade first — verify backtest results in real-time
- Be patient — no strategy wins every trade
- Keep learning — understand why your strategy wins and loses
Common Mistakes to Avoid
1. Strategy Hopping
Mistake: Switching strategies after a few losing trades
Reality: All strategies have losing periods
Solution: Commit to a strategy for at least 100 trades before evaluating
2. Over-Optimization
Mistake: Tweaking parameters until backtest looks perfect
Reality: Over-optimized strategies fail in live trading
Solution: Use standard parameters, make small adjustments only
3. Ignoring Market Conditions
Mistake: Using trend-following in ranging markets (or vice versa)
Reality: Strategies perform differently in different conditions
Solution: Match strategy type to current market conditions
4. Unrealistic Expectations
Mistake: Expecting 90% win rates or doubling account monthly
Reality: Professional traders aim for 20-40% annual returns
Solution: Focus on consistency, not home runs
5. Not Using Stop-Losses
Mistake: Disabling stop-losses to avoid "getting stopped out"
Reality: One bad trade can wipe out months of profits
Solution: Always use stop-losses, adjust size if needed
What's Next?
In the following pages, you'll find:
- Detailed strategy guides for popular presets
- Real examples showing when strategies work (and when they don't)
- Parameter optimization tips for different market conditions
- Combination strategies using multiple presets
Remember: The best strategy is one you understand, can execute consistently, and matches your risk tolerance.
Let's explore the strategies!