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Kamaflage: The Multi-Indicator "Camouflage" Master

Nickname: The Impostor, Indicator Stitcher
Profession: KAMA + MACD + RMI three musketeers, part-time order book detective
Timeframe: 5 minutes (5m)

1. What's This Strategy?​

Simply put, Kamaflage is:

  • A strategy that uses three momentum indicators to cross-verify — KAMA, MACD, RMI, all required
  • A strategy that peeks at the order book, using real-time prices to check orders
  • A strategy with aggressive trailing stop — starts locking profits after 4.67% gain

Like someone checking your credit report, social media, AND LinkedIn gossip before a blind date 🤣

The "Kama" in the name comes from KAMA (Kaufman Adaptive Moving Average), and "flage" is probably from camouflage — maybe meaning it "camouflages" in the market, only acting when conditions are perfect.

2. Core Settings: Simply "Take Profits When You Can"​

Profit-Taking Rules (ROI Table)​

Run immediately:    Exit at 15% profit
After 10 minutes:   Exit at 10% profit
After 20 minutes:   Exit at 5% profit
After 30 minutes:   Exit at 2.5% profit
After 60 minutes:   Exit at 1% profit

Translation: The longer you hold, the lower the threshold — like dating, high standards at first, then you get tired and settle 😅

Stoploss Rules​

Hard stoploss:    Force cut at 10% loss
Trailing stop:    Activates after 4.67% profit, run if pulls back 1.125%

Translation: Giving you a chance to make money, but don't be greedy — if you fall 1.125% from the peak, get out immediately.

3. Entry Conditions: All Three Indicators Must Agree​

This strategy's entry conditions aren't complex, but require all three indicators to simultaneously satisfy:

🎯 Buy Signal (No Position)​

Must all be satisfied:

  1. KAMA fast line > slow line (3-period KAMA > 21-period KAMA)
  2. MACD golden cross and > 0 (MACD line > signal line, and MACD > 0)
  3. MACD histogram > 0 (momentum strengthening)
  4. RMI rising and > 50 (relative momentum index upward)
  5. Volume not abnormal (Volume < average volume × 20)

In Plain English:

"All three indicators say good, and no one's dumping crazily — buy!"

📈 Add Position Conditions (With Position)​

Must simultaneously satisfy:

  1. Price > SAR (Parabolic SAR, means trend is upward)
  2. RMI ≥ 75 (momentum super strong)

In Plain English:

"Already bought? Then only add when momentum is exploding, don't be greedy."

4. Exit Logic: Run When RMI Says Oversold​

4.1 Exit Conditions​

When holding position, check these conditions:

  1. No more buy signal (buy == 0)
  2. RMI < 30 (oversold)
  3. Profit > -3% (only sell if loss not exceeding 3%)
  4. Volume > 0 (someone's trading)

In Plain English:

"Buy signal disappeared, momentum indicator is oversold, and not losing much — let's bail."

Why limit profit > -3%?
Because the strategy doesn't want you to cut flesh at huge losses — what if it bounces right after you sell? 😢

4.2 Order Timeout Check​

The strategy also actively cancels "expired" orders:

Buy order timeout:

  • If current price > order price × 1.01 (up over 1%)
  • Cancel order, don't chase the high

Sell order timeout:

  • If current price < order price × 0.99 (down over 1%)
  • Cancel order, re-list

In Plain English:

"Order listed for ages without filling? Price already ran, cancel and restart!"

5. This Strategy's "Personality Traits"​

✅ Advantages (Praise Session)​

  1. Multi-indicator confirmation, reliable signals: KAMA + MACD + RMI triple verification, not single indicator guessing
  2. Order book optimization: Real-time order book check, uses real prices to calculate profit, avoids slippage traps
  3. Aggressive trailing stop: Locks profits when earned, doesn't let profits turn into losses
  4. Parameters optimized: ROI and trailing parameters are hyperopt results

⚠️ Disadvantages (Roast Session)​

  1. Many indicators, hard to debug: Three indicators affect each other, changing one may affect everything
  2. No trend filter: Doesn't look at broad market EMA/SMA, dares to charge in downtrends
  3. Doesn't care about BTC: Still buying when Bitcoin crashes, a bit stubborn
  4. Order book API dependency: Not all exchanges support it, backtesting also inaccurate

6. Applicable Scenarios: When to Use It?​

Market EnvironmentRecommended ActionReason
Slow bull/ranging up✅ RecommendedMulti-indicator confirmation + trailing stop, performs well
Wide ranging✅ RecommendedMulti-indicator combination suitable for ranging
Single-sided crash❌ Don't useNo trend filter, will get buried badly
Extreme sideways⚠️ CautiousToo little volatility, few signals, lose on fees

7. Summary: How's This Strategy?​

One-Sentence Review​

"Three indicators watching together, plus peeking at order book — overly cautious, but not a bad thing."

Who Should Use It?​

  • ✅ Quant players who like multi-indicator confirmation
  • ✅ Advanced players wanting to learn order book checks
  • ✅ Players with hyperopt experience
  • ✅ 5-minute timeframe traders

Who Should NOT Use It?​

  • ❌ Newbies just starting (too many indicators, hard to understand)
  • ❌ Exchanges that don't support order book API
  • ❌ Lazy people who just want simple strategies
  • ❌ People unwilling to backtest and verify

My Recommendations​

  1. Backtest first: Parameters are optimized, may overfit, must verify
  2. Watch the broad market: Add BTC trend filter yourself, don't go against the trend
  3. Adjust stoploss: -10% hard stoploss may be too wide, see what loss you can accept
  4. Monitor order book: Order book data may have latency in live trading

8. What Markets Make Money with This Strategy?​

8.1 Core Logic: Using Three Indicators to "Call Each Other Out"​

Kamaflage is a multi-indicator momentum strategy. Its core philosophy is:

"One indicator might be a liar, but if three indicators all say up at the same time, that should be credible, right?"

  • KAMA: Adaptive moving average, automatically adjusts sensitivity based on volatility
  • MACD: Classic momentum indicator, everyone knows golden/death crosses
  • RMI: Relative momentum index, RSI variant, more sensitive

8.2 Performance in Different Markets (Plain English Version)​

Market TypePerformance RatingPlain English Explanation
📈 Slow bull/ranging up⭐⭐⭐⭐☆Three-indicator confirmation, trailing stop locks profits
🔄 Wide ranging⭐⭐⭐⭐☆Multi-indicator combination suitable for ranging, but fees may add up
📉 Single-sided crash⭐⭐☆☆☆No trend filter, will get buried badly
⚡️ Extreme sideways⭐⭐☆☆☆Too little volatility, few signals, just burning fees

One-sentence summary: Performs well in uptrends, gets buried badly in crashes, just burns in sideways.

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

9.1 Pair Configuration​

ConfigurationRecommended ValueRoast
Number of pairs20-40Too few = not enough signals, too many = can't compute
Max positions3-6Control risk, don't be greedy
Position modeFixed positionPercentage position may blow up
Timeframe5mMandatory, don't change

9.2 Config File Key Settings​

# Strategy-specific configuration
timeframe: 5m

# Trailing stop (from hyperopt)
trailing_stop: true
trailing_stop_positive: 0.01125
trailing_stop_positive_offset: 0.04673
trailing_only_offset_is_reached: true

# ROI table
minimal_roi:
  0: 0.15
  10: 0.10
  20: 0.05
  30: 0.025
  60: 0.01

9.3 Hardware Requirements (Important!)​

This strategy needs order book API, plus multi-indicator computation, has hardware requirements:

Number of PairsMinimum RAMRecommended RAMExperience
20-40 pairs1GB2GBNormal
40-80 pairs2GB4GBSmooth

Warning: Order book API may have latency, backtest data also not quite accurate — test before live trading!

9.4 Backtest vs Live Trading​

Backtest problems:

  • Order book data may be inaccurate
  • Slippage simulation not realistic
  • Parameters may overfit historical data

Recommended process:

  1. Backtest with default parameters first, understand strategy behavior
  2. Adjust parameters, see how backtest results change
  3. Paper trade test at least 1 week
  4. Small capital live test
  5. Confirm stability before adding capital

Don't go all-in immediately, even optimized parameters are historical data!

10. Easter Egg: Strategy Author's "Little Thoughts"​

Look carefully at the code, you'll find some interesting things:

  1. Order book check: Both buy and sell use self.dp.orderbook() to get real-time prices

    "I don't trust K-line close prices, I want to see real-time order book bids!"

  2. Adding position is cautious: With position, only add when RMI ≥ 75

    "Already bought? Then wait for momentum explosion, don't add blindly."

  3. Sell checks profit: Only sell if profit > -3%

    "Lost too much? Just hold, don't cut flesh at the floor."

  4. Parameters all optimized: ROI and trailing parameters have many decimal places

    "Best solution from backtest, though it might be overfitting..."

11. Last But Not Least​

One-Sentence Review​

"KAMA + MACD + RMI, three indicators in agreement, trailing stop locks profits — suitable for quant players who like multiple confirmations."

Who Should Use It?​

  • ✅ Multi-indicator confirmation believers
  • ✅ Advanced players wanting to learn order book mechanics
  • ✅ 5-minute timeframe traders
  • ✅ People with hyperopt experience

Who Should NOT Use It?​

  • ❌ Indicator phobia patients
  • ❌ Lazy people who only use market orders
  • ❌ People unwilling to backtest and verify
  • ❌ Exchanges that don't support order book API

Manual Trader Recommendations​

You can reference Kamaflage's approach:

  • Observe KAMA, MACD, RMI three indicators simultaneously
  • Enter only when all three confirm upward
  • Use trailing stop to protect profits when making money
  • Set order timeout, don't chase highs or kill lows

But doing it manually is too tiring, let the robot handle it 🤖

12. Technical Details Supplement​

12.1 Indicator Parameters​

IndicatorParametersPurpose
KAMA fast line3 periodsShort-term trend
KAMA slow line21 periodsLong-term trend
MACDDefault (12, 26, 9)Momentum direction
RMIDefaultRelative momentum
SARDefaultTrend stoploss
Volume MA24 periodsVolume average

12.2 Hyperparameter Values​

# Buy parameters (optimized results)
buy_params = {
    "macd": 0,       # MACD threshold
    "macdhist": 0,   # MACD histogram threshold
    "rmi": 50,       # RMI threshold
}

12.3 Order Timeout Thresholds​

Order TypePrice DeviationAction
Buy order> 1%Cancel
Sell order< -1%Cancel

13. ⚠️ Risk Reminder Again (Must Read This Section)​

Backtest Is Beautiful, Live Trading Needs Caution​

Kamaflage's historical backtest performance may look very good — but there's a trap:

Because parameters are hyperopt-optimized, it's easy to "memorize answers" — perfectly fits historical data, but may not work in the future.

Simply put: "Memorized all past exam questions, but next exam has different questions and you're lost."

Hidden Risks of Complex Strategies​

In live trading, multi-indicator combinations may cause:

  • Signal conflicts: Three indicators may disagree, making you hesitate to enter
  • Parameter sensitivity: Change one parameter, entire strategy behavior changes
  • Order book latency: Real-time prices and order book may have time difference
  • Computation timeout: Many indicators, high computation, may miss entry timing

The Pit of No Trend Filter​

Kamaflage's biggest problem: Doesn't care how the broad market moves, only looks at its own few indicators.

When Bitcoin crashes, it may still be buying — this is called "counter-trend bottom-fishing", easy to get buried.

Recommend adding a BTC trend filter yourself:

  • Don't buy when BTC is below EMA 50
  • Or use other broad market indicators to judge

My Recommendations (Real Talk)​

1. Backtest with default parameters first, see strategy performance in different markets
2. Add a BTC trend filter yourself, don't go against the trend
3. Paper trade test at least 2 weeks, observe if order book check works normally
4. Small capital live test, don't exceed 10% of total capital
5. Regularly check strategy performance, stop timely if not working

Remember: No matter how smart the strategy, it can't fight black swans. Light position test, staying alive is most important! 🙏

Final reminder: Multi-indicator confirmation is a good habit, but over-relying on historical parameters is dangerous. The market always changes, no strategy makes money forever!