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Preset Strategies / Marketplace

Don't want to build your own strategy from scratch? Browse our marketplace of trailing stop strategies created by other traders.

What is the Strategy Marketplace?​

The Kelor Marketplace is a curated collection of trailing stop strategies that have been tested and used by other traders. Instead of configuring every parameter yourself, you can simply:

  1. Browse available strategies
  2. Review their performance metrics
  3. Deploy them with one click
  4. Customize if desired

Think of it as a strategy library where you can learn from others and get started quickly.

Why Use Preset Strategies?​

For Beginners​

Advantages:

  • ✅ Skip the learning curve of parameter optimization
  • ✅ Learn from experienced traders' configurations
  • ✅ See what works in real conditions
  • ✅ Get started trading immediately
  • ✅ Understand best practices by example

Learning Path:

1. Deploy a preset strategy
2. Observe how it performs
3. Study the parameters used
4. Understand the logic
5. Eventually create your own variations

For Experienced Traders​

Advantages:

  • ✅ Discover new strategy approaches
  • ✅ Save time on configuration
  • ✅ Benchmark against other strategies
  • ✅ Quick deployment for testing
  • ✅ Find optimization ideas

Use Case:

You're experienced but want to:
- Test a different approach
- Find inspiration for new ideas
- Validate your own parameters
- Quick-start a new asset

How the Marketplace Works​

Strategy Listing​

Each strategy in the marketplace displays:

1. Strategy Name

  • Descriptive title
  • Asset targeted
  • Style indicator

2. Creator

  • Username of trader who shared it
  • Reputation score
  • Number of strategies shared

3. Performance Metrics

Backtesting Results:

  • Tested time period
  • Number of trades
  • Win rate (%)
  • Average profit per trade
  • Maximum drawdown
  • Total ROI

Paper Trading Results:

  • Live testing duration
  • Real-time performance
  • Actual execution metrics

Live Trading Results (if available):

  • Real money performance
  • Number of traders using it
  • Collective results

4. Configuration Details

  • Trailing stop percentage
  • Activation profit level
  • Initial stop loss
  • Take profit setting
  • Re-entry strategy
  • Target asset/timeframe

5. Strategy Description

  • Creator's notes
  • Market conditions suited for
  • Risk level
  • Recommended capital allocation

6. Usage Statistics

  • Number of times deployed
  • Active users
  • Popularity ranking

Browsing Strategies​

Filter Options​

By Performance:

  • Sort by ROI (highest to lowest)
  • Sort by win rate
  • Sort by number of trades
  • Sort by Sharpe ratio

By Asset:

  • BTC strategies
  • ETH strategies
  • Altcoin strategies
  • Stablecoin pairs

By Risk Level:

  • Conservative (lower risk)
  • Moderate (balanced)
  • Aggressive (higher risk)

By Timeframe:

  • Scalping (minutes)
  • Day trading (hours)
  • Swing trading (days)
  • Position trading (weeks)

By Type:

  • Trend following
  • Momentum based
  • Breakout strategies
  • Pullback entries

Search Function​

Search by:

  • Strategy name
  • Asset name
  • Creator username
  • Keywords (e.g., "conservative", "bull market")

Strategy Cards​

Example Strategy Card​

┌──────────────────────────────────────────────────┐
│ BTC Conservative Trend Follower                   │
│ by @TraderMike  ⭐⭐⭐⭐⭐ (4.8/5)                  │
├──────────────────────────────────────────────────┤
│ Asset: BTC/USDT                                   │
│ Timeframe: 4H                                     │
│ Risk Level: 🟢 Conservative                      │
├──────────────────────────────────────────────────┤
│ BACKTEST RESULTS (6 months)                      │
│ ROI: +47.2%                                       │
│ Win Rate: 68%                                     │
│ Avg Profit: +12.3% per trade                     │
│ Max Drawdown: -8.5%                               │
│ Trades: 24                                        │
├──────────────────────────────────────────────────┤
│ PAPER TRADE (30 days)                            │
│ ROI: +8.9%                                        │
│ Win Rate: 71%                                     │
│ Trades: 5                                         │
├──────────────────────────────────────────────────┤
│ CONFIGURATION                                     │
│ Trailing: 7% (Percentage)                        │
│ Activation: 12%                                   │
│ Initial Stop: 6%                                  │
│ Take Profit: 25%                                  │
│ Re-entry: Pullback                                │
├──────────────────────────────────────────────────┤
│ DESCRIPTION                                       │
│ Conservative trailing strategy for BTC bull      │
│ trends. Wider stop gives room for volatility.    │
│ Activates after strong confirmation. Good for    │
│ swing trading in trending markets.                │
├──────────────────────────────────────────────────┤
│ 🚀 257 traders using  |  👍 89% recommend        │
│                                                   │
│ [View Details]  [Deploy]  [Favorite]             │
└──────────────────────────────────────────────────┘

Deploying a Preset Strategy​

Step-by-Step Process​

1. Select a Strategy

  • Click on the strategy card
  • Review full details
  • Check performance graphs
  • Read creator notes

2. Review Configuration

All parameters are pre-configured:
✓ Trailing stop type and value
✓ Activation profit
✓ Initial stop loss  
✓ Take profit settings
✓ Re-entry strategy

3. Set Capital Amount

  • Choose investment size
  • Confirm you have sufficient balance
  • Review order preview

4. Name Your Bot

  • Use preset name or customize
  • Add your own notes
  • Tag for easy identification

5. Choose Deployment Mode

Paper Trading (Recommended First):

✓ Test with virtual money
✓ See how it performs in real-time
✓ Verify you like the results
✓ Build confidence
✓ No risk

Live Trading:

⚠️ Real money at risk
✓ Only deploy after paper testing
✓ Start with small capital
✓ Monitor actively at first

6. Deploy

  • Click "Deploy to Paper" or "Deploy Live"
  • Confirm transaction
  • Bot starts immediately

Evaluating Preset Strategies​

What to Look For​

1. Consistent Performance

✅ Good Signs:

  • Similar results across backtest and paper trading
  • Steady ROI over time (not one lucky trade)
  • Win rate above 55-60%
  • Reasonable drawdown

❌ Red Flags:

  • Huge backtest ROI but poor paper trading
  • Single massive winning trade skewing results
  • Very few trades (insufficient data)
  • Extreme drawdown (>40%)

2. Realistic Metrics

✅ Realistic:

Backtest ROI: 40-60% per year
Win Rate: 60-70%
Max Drawdown: 15-25%
Trades: 20+ over 6 months

❌ Too Good to Be True:

Backtest ROI: 500% per year
Win Rate: 95%
Max Drawdown: 2%
Trades: 3 over 6 months

3. Strategy Logic

Read the description carefully:

  • Does the strategy make sense?
  • Is it based on sound trading principles?
  • Does the creator explain the approach?
  • Are market conditions specified?

4. Community Validation

Check:

  • Number of users
  • User ratings and reviews
  • Recommendation percentage
  • How long it's been available

5. Creator Reputation

Evaluate:

  • Multiple successful strategies?
  • Clear explanations?
  • Active engagement?
  • Transparent about risks?

Strategy Categories in Marketplace​

1. Conservative Strategies​

Characteristics:

  • Wider trailing stops (7-10%)
  • Higher activation profit (15%+)
  • Lower take profit targets (20-30%)
  • Pullback re-entry
  • Lower risk, lower reward

Best For:

  • Beginners
  • Risk-averse traders
  • Volatile assets
  • Uncertain markets

Example:

Name: ETH Steady Gainer
Trailing: 8%
Activation: 15%
Initial Stop: 7%
Take Profit: 25%
Re-entry: Pullback

2. Moderate Strategies​

Characteristics:

  • Balanced trailing stops (4-6%)
  • Standard activation (10-12%)
  • Moderate take profit (30-40%)
  • Flexible re-entry
  • Balanced risk/reward

Best For:

  • Intermediate traders
  • Most market conditions
  • BTC/ETH majors
  • General purpose

Example:

Name: BTC Balanced Trend
Trailing: 5%
Activation: 10%
Initial Stop: 5%
Take Profit: 35%
Re-entry: % Pullback (3%)

3. Aggressive Strategies​

Characteristics:

  • Tight trailing stops (2-4%)
  • Low activation (5-8%)
  • High take profit (50%+)
  • Aggressive re-entry
  • Higher risk, higher reward

Best For:

  • Experienced traders
  • Strong trending markets
  • High conviction trades
  • Active monitoring

Example:

Name: SOL Moonshot Rider
Trailing: 3%
Activation: 8%
Initial Stop: 4%
Take Profit: 60%
Re-entry: Aggressive

4. Asset-Specific Strategies​

Optimized for particular assets:

BTC Strategies:

  • Lower volatility assumptions
  • Longer timeframes
  • Moderate parameters

Altcoin Strategies:

  • Higher volatility assumptions
  • Wider stops
  • Shorter timeframes

Stablecoin Strategies:

  • Very tight ranges
  • Scalping focused
  • High frequency

Customizing Preset Strategies​

When to Customize​

Keep Preset As-Is When:

  • You're a beginner
  • Strategy has proven results
  • You trust the creator
  • Want to test exactly as designed

Customize When:

  • You have more/less risk tolerance
  • Trading different market conditions
  • Different capital size
  • Personal preferences differ

Safe Customization Approach​

1. Start with Small Changes

Original: 5% trailing
Your edit: 6% trailing (20% wider)

Don't jump to: 15% trailing (200% wider)

2. Test Your Changes

Step 1: Modify one parameter
Step 2: Backtest the modified version
Step 3: Compare results
Step 4: Keep or revert

3. Document Your Changes

Original Strategy: BTC Trend Follower
Your Changes:
- Increased trailing from 5% to 6% (more room)
- Reason: BTC is more volatile lately
- Expected outcome: Fewer whipsaws

4. Common Modifications

Increase Risk Tolerance:

  • Tighten trailing stop (5% → 3%)
  • Lower activation profit (10% → 7%)
  • Remove take profit

Decrease Risk Tolerance:

  • Widen trailing stop (5% → 7%)
  • Increase activation profit (10% → 15%)
  • Add/lower take profit (40% → 25%)

Best Practices​

Testing Preset Strategies​

1. Always Paper Trade First

Minimum Testing Period:
- 1 week minimum
- 2-4 weeks recommended
- Include both good and bad market days

2. Compare Against Backtest

If backtest shows:
ROI: 50% per year
Win Rate: 65%

Paper trading should show similar (±10-15%):
ROI: 40-60% per year
Win Rate: 55-75%

If drastically different → investigate why

3. Monitor Closely Initially

First 5 trades:
- Watch every entry/exit
- Verify logic makes sense
- Understand behavior
- Confirm it matches expectation

Using Multiple Strategies​

Portfolio Approach:

Capital: $10,000

Allocation:
Conservative Strategy: $4,000 (40%)
Moderate Strategy: $3,000 (30%)
Aggressive Strategy: $2,000 (20%)
Reserve: $1,000 (10%)

Diversification:
- Different risk levels
- Different assets
- Different strategies
- Risk managed

Updating Strategies​

When to Switch:

  • Strategy consistently underperforming
  • Market conditions changed significantly
  • Better strategy found
  • Original creator updated it

How to Switch:

  1. Stop current bot
  2. Review why it didn't work
  3. Research alternative
  4. Paper test new strategy
  5. Deploy if successful

Common Mistakes to Avoid​

❌ Deploying without paper testing

  • Always test first
  • Minimum 1-2 weeks
  • Real conditions

❌ Chasing top performers

  • High recent ROI doesn't guarantee future success
  • Could be luck
  • Market conditions may have changed

❌ Ignoring market conditions

  • Bull market strategy won't work in bear
  • Trending strategy fails in ranges
  • Match strategy to condition

❌ Over-customizing

  • Preset worked for a reason
  • Too many changes = new strategy
  • Test your version thoroughly

❌ Using only one strategy

  • No diversification
  • Higher risk
  • All-or-nothing approach

❌ Blindly trusting ratings

  • Understand the strategy yourself
  • Verify performance
  • Check if conditions match

Understanding Strategy Performance​

Backtest Results​

What they show:

  • Historical performance
  • How strategy would have done
  • Parameter effectiveness

Limitations:

  • Past ≠ Future
  • Perfect hindsight
  • No slippage/fees sometimes
  • Doesn't account for real execution

How to use:

  • Filter out bad strategies
  • Understand behavior
  • Set expectations
  • Not as guarantee

Paper Trading Results​

What they show:

  • Real-time performance
  • Actual execution
  • Current market conditions

Value:

  • More reliable than backtest
  • Shows recent relevance
  • Real order book used

How to use:

  • Confirm backtest
  • Validate strategy still works
  • Test before live

Live Trading Results​

What they show:

  • Real money performance
  • Multiple users' results
  • Actual profitability

Value:

  • Most reliable metric
  • Shows real viability
  • Community validated

How to use:

  • Strongest signal of quality
  • Best predictor of your results
  • Still test yourself first

Strategy Update Notifications​

Tracking Strategies​

Follow Creators:

  • Get notified of updates
  • See new strategies
  • Version updates

Favorite Strategies:

  • Quick access
  • Monitor performance
  • Update alerts

Notification Types:

  • Creator updated parameters
  • New version available
  • Major performance changes
  • User warnings

Next Steps​

Ready to deploy a strategy?

  1. Browse the Marketplace - Find strategies that match your style
  2. Backtest Your Selection - Verify performance
  3. Deploy to Paper Trading - Test risk-free
  4. Monitor Performance - Track results

Remember: Even the best preset strategy needs your oversight and testing!