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Slowbro Strategy: The Lazy Range Harvester

Nickname: Slowbro, Slowpoke, Range Ninja
Occupation: 30-Day Range Gatekeeper
Timeframe: 1 Hour (main) + 1 Day (information layer)

I. What Is This Strategy?​

Simply put, Slowbro is:

  • A minimalist range breakout strategy
  • Draws two lines using 30-day highs and lows
  • Buys when price breaks below the floor, sells when it breaks above the ceiling

Like a sleeping security guard, only opens its eyes when price touches the boundary 🦥

The code is just over 100 lines, among the simplest of the 465 strategies. The name comes from the Pokémon "Slowbro"—slow, but steady!

II. Core Configuration: "Two Lines, One Crossover"​

Take-Profit Rules (ROI Table)​

Holding Time    Target Profit
─────────────────────
Immediate       10%
After 1 day     20%
After 2 days    30%
After 7 days    100% (Double!)

Translation: Gives you enough time to chase big trends. The longer you hold, the higher the target.

Stop-Loss Rule​

Fixed Stop-Loss: -10%

Translation: Run when down 10%, symmetric with first-tier take-profit. This strategy is fair—your target profit matches your loss limit.

III. 1 Buy Condition: Just Wait​

This strategy's buy condition is so simple it makes you question life:

🎯 The Only Buy Signal: Floor Crossover​

Core Logic: Price crosses above the 30-day lowest price line from below

Plain English:

"I watch the lowest price of the past 30 days and draw a line. When price drops near this line, I pay attention. Once it breaks upward, I buy."

Code Snippet:

qtpylib.crossed_above(dataframe['close'], dataframe['30d-low'])

Why called Slowbro? Because you might wait forever for a signal—a 30-day range doesn't break easily. Just like Slowbro, wait slowly, no rush 🐢

IV. 1 Sell Condition: Ceiling Breakout​

🚪 The Only Sell Signal: Ceiling Crossover​

Core Logic: Price crosses above the 30-day highest price line from below

Plain English:

"I watch the highest price of the past 30 days and draw a line. When price breaks above this line, I sell."

Code Snippet:

qtpylib.crossed_above(dataframe['close'], dataframe['30d-high'])

Note: The "ceiling" here is dynamically updated! Updated once a day, following the price movement.

V. Protection Mechanism: Basically Lying Flat​

Slowbro's protection mechanism is very zen:

Protection TypeSettingPlain English
Fixed Stop-Loss-10%"I run when down 10%"
Graded ROI4 tiers"The longer I hold, the higher my target"
Profitable SellOnly sell when profitable"Don't sell at a loss, wait for recovery"

Critique: This strategy basically has no fancy protection mechanisms, just relies on stop-loss + ROI. Simple and rough 🤷

VI. This Strategy's "Personality Traits"​

✅ Pros (Praise Section)​

  1. Minimalist design: Less code, less chance of bugs
  2. Trend capturing: Performs well in slow bull markets
  3. Low resource consumption: Won't lag running 100 pairs
  4. Learning-friendly: Beginners can understand in one read

⚠️ Cons (Criticism Section)​

  1. Sparse signals: Might wait weeks for one signal
  2. Oscillating market nightmare: Repeatedly slapped in sideways markets—buy then drop, sell then rise
  3. Slow reaction: 30-day range, market changes but it doesn't
  4. No dynamic adjustment: Doesn't adapt to different volatility markets

VII. Applicable Scenarios: When to Use It?​

Market EnvironmentRecommended ActionReason
📈 Slow BullFull sendPrice rises slowly, range shifts up with it, perfect match
🔄 OscillationDon't useWill get slapped left and right, lose on fees
📉 Bear MarketCarefulDesigned for long positions, bear market is headwind
⚡ High VolatilityNot recommendedRange can't keep up with price changes

VIII. Summary: How Is This Strategy?​

One-Liner Review​

"So simple it makes you question life, but actually works in slow bull markets."

Who Should Use It?​

  • ✅ Quantitative beginners learning strategy development
  • ✅ People wanting simple strategy combinations
  • ✅ Slow bull market enthusiasts
  • ✅ Lazy people who don't want to stare at charts all day

Who Shouldn't Use It?​

  • ❌ People pursuing high-frequency trading
  • ❌ People only active in oscillating markets
  • ❌ People wanting complex strategies
  • ❌ Impatient people (wait forever for signals)

My Suggestions​

  1. As a benchmark strategy: Compare other complex strategies against it
  2. Combine use: Combine with other signals to reduce false positives
  3. Manual trading reference: Observe 30-day highs/lows as support/resistance
  4. Backtest validation: Check performance on historical data first

IX. What Markets Can This Strategy Make Money?​

9.1 Core Logic: Range Is King​

Slowbro's money-making philosophy:

  • Floor buying: Price drops below 30-day low, might bounce
  • Ceiling selling: Price breaks above 30-day high, might pull back
  • Time is on your side: The longer you hold, the higher your profit target

9.2 Performance in Different Markets (Plain English)​

Market TypePerformance RatingPlain English Explanation
📈 Slow Bull⭐⭐⭐⭐⭐Range rises with it, buy floor sell ceiling, comfortable
🔄 Oscillation⭐⭐☆☆☆Crosses up and down repeatedly, slapped countless times
📉 Bear Market⭐⭐⭐☆☆Range shifts down, many buy signals but could be traps
⚡ High Volatility⭐⭐☆☆☆Range updates too slowly, signals lag badly

One-liner Summary: Money-maker in slow bull markets, fee-killer in oscillating markets.

X. Want to Run This Strategy? Check These Configs First​

10.1 Trading Pair Configuration​

Config ItemRecommended ValueCommentary
Timeframe1h (default)Don't go faster, signals will be even fewer
Stop-Loss-10% (default)Can go tighter, like -7%
Trading PairsMajor coinsDon't run small caps, too volatile

10.2 Key Config File Settings​

# config.json recommended settings
"timeframe": "1h",
"stoploss": -0.10,
"minimal_roi": {
    "0": 0.10,
    "1440": 0.20,
    "2880": 0.30,
    "10080": 1.0
}

10.3 Hardware Requirements (Important!)​

This strategy has minimal computational load:

Trading PairsMinimum MemoryRecommended MemoryExperience
1-10 pairs512MB1GBSmooth
10-50 pairs1GB2GBSmooth
50+ pairs2GB4GBStill smooth

Warning: This might be one of the lowest hardware requirement strategies 😅

10.4 Backtest vs. Live Trading​

Advantage of simple strategies:

  • Backtest results and live performance have small differences
  • Won't get "fitted" to historical data

Recommended Process:

  1. Run 1-year historical backtest first, check signal frequency
  2. If signals are too rare (hard to get one a week), consider changing timeframe
  3. Paper trade for 1 month, verify actual performance
  4. Small capital live test

Don't go all in right away—even simple strategies need validation!

XI. Easter Egg: The Author's "Little Thoughts"​

Looking at code comments, you'll find interesting things:

  1. ASCII Art: The author put a huge Slowbro ASCII drawing at the code beginning, hinting at this strategy's "dumb cute" attribute 🎨

  2. Version v100: Only 100 lines of code, version number is also v100, interesting alignment

  3. Information Layer Design: Using daily data mapped to hourly reflects the classic idea of "small timeframe trigger, big timeframe direction"

XII. Final Words​

One-Liner Review​

"The epitome of minimalism, a textbook-level strategy for learning and research."

Who Should Use It?​

  • ✅ Freqtrade beginners
  • ✅ People wanting to study range breakout logic
  • ✅ People needing a simple benchmark strategy
  • ✅ Slow bull market believers

Who Shouldn't Use It?​

  • ❌ High-frequency trading pursuers
  • ❌ Mostly oscillating market traders
  • ❌ Complex strategy combination seekers
  • ❌ People who hate waiting for signals

Suggestions for Manual Traders​

This strategy's logic is very suitable for manual trading:

  1. Draw 30-day highs/lows on your chart
  2. Watch when price touches the low, consider buying on upward break
  3. Consider selling when price breaks above the high
  4. Set 10% stop-loss, start with 10% take-profit target

XIII. ⚠️ Risk Re-emphasis (Must Read)​

Backtesting Is Beautiful, Live Trading Needs Caution​

Slowbro's historical backtest might perform excellently in slow bull markets—but there's a trap:

Range breakout strategies lose repeatedly in oscillating markets.

Simply put: Below the floor there's a basement, above the ceiling there's sky.

Hidden Risks of Simple Strategies​

In live trading, simple logic can lead to:

  • Sparse signals: Wait forever for a signal
  • Missing moves: Small movements within the range are completely ignored
  • Oscillation slapping: Repeatedly triggering false signals, losing on fees

My Honest Advice​

1. Run backtest first, check signal frequency for your chosen pairs
2. If fewer than a few signals a month, consider switching strategies
3. Can combine with other strategies, complement each other
4. Disable or reduce position in oscillating markets, don't force it

Remember: No matter how simple the strategy, respect the market. Light position testing, survival comes first! 🙏