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CombinedBinHAndClucV8Hyper Strategy Analysis

Strategy Number: #119 (Batch 12, 119th Strategy) Strategy Type: Multi-Factor Mean Reversion · Oversold Rebound Strategy Timeframe: 5 Minutes (5m) + 1 Hour (1h informational timeframe)

I. Strategy Overview​

CombinedBinHAndClucV8Hyper is a multi-factor mean reversion trading strategy—the Hyperoptable-optimized version of V8. It combines BinHV45 and ClucMay72018 with custom take-profit and custom stop-loss protection, enabling more precise capture of oversold rebound opportunities through hyperparameter optimization.

The core idea is: on V8's foundation, introducing optimizable hyperparameters to allow the strategy to further adapt to different market environments through Hyperopt.

V8Hyper vs V8 Core Upgrades:

  • New optimizable entry parameters: BB40, BB20, RSI, MFI parameters
  • New optimizable exit parameters: RSI threshold
  • Custom take-profit mechanism: Dynamic take-profit across 4 ROI levels + 2 trailing levels
  • Custom stop-loss mechanism: Time-based and trend-based smart stop-loss
  • More flexible trailing configuration: Activates at 3.11% profit, triggers on 3.14% pullback
  • Hard stop at -27.4% (more practical than V8's -99%)
  • 5 entry conditions + multi-timeframe (5m + 1h) analysis

II. Strategy Configuration Analysis​

2.1 Basic Parameters​

ParameterValueDescription
timeframe5m5-minute candles
inf_1h1h1-hour informational timeframe for trend judgment
minimal_roi{"0": 0.107, "15": 0.047, "75": 0.013, "106": 0}Multi-level ROI take-profit
stoploss-0.274Hard stop at -27.4%
use_exit_signalTrueEnable exit signal judgment
exit_profit_onlyTrueOnly sell in profitable state
exit_profit_offset0.001Only allow selling after profit exceeds 0.1%
ignore_roi_if_entry_signalTrueIgnore ROI limit when entry signal appears

2.2 Trailing Stop Configuration​

ParameterValueDescription
trailing_stopTrueEnable trailing stop
trailing_only_offset_is_reachedFalseTrail regardless of offset
trailing_stop_positive0.314Trailing stop distance 31.4%
trailing_stop_positive_offset0.411Activate trailing when profit reaches 41.1%

V8Hyper Key Change: Trailing stop activation and pullback are both large—suited for long-term trending markets. Hard stop at -27.4% is much more practical than V8's -99%.

III. Entry Conditions Details​

The strategy has 5 independent entry conditions—meeting any one triggers a buy:

3.1 Condition One: BinHV45 Strategy (Rapid Sell-off in Major Uptrend)​

(dataframe['close'] > dataframe['ema_200_1h']) &
(dataframe['ema_50'] > dataframe['ema_200']) &
(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) &
(((dataframe['open'].rolling(2).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_1.value) &
(((dataframe['open'].rolling(12).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_2.value) &
dataframe['lower'].shift().gt(0) &
dataframe['bbdelta'].gt(dataframe['close'] * self.buy_bb40_bbdelta_close.value) &
dataframe['closedelta'].gt(dataframe['close'] * self.buy_bb40_closedelta_close.value) &
dataframe['tail'].lt(dataframe['bbdelta'] * self.buy_bb40_tail_bbdelta.value) &
dataframe['close'].lt(dataframe['lower'].shift()) &
dataframe['close'].le(dataframe['close'].shift()) &
(dataframe['volume'] > 0)

Combined Logic: In a major uptrend, price dips slightly and pierces the lower Bollinger Band with sufficient volatility and a short lower wick—typical oversold rebound in uptrend pattern.

3.2 Condition Two: ClucMay72018 Strategy (Volume-Shrinking Oversold in Uptrend)​

(dataframe['close'] > dataframe['ema_200']) &
(dataframe['close'] > dataframe['ema_200_1h']) &
(dataframe['ema_50_1h'] > dataframe['ema_100_1h']) &
(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) &
(((dataframe['open'].rolling(2).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_1.value) &
(((dataframe['open'].rolling(12).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_2.value) &
(dataframe['close'] < dataframe['ema_slow']) &
(dataframe['close'] < self.buy_bb20_close_bblowerband.value * dataframe['bb_lowerband']) &
(dataframe['volume'] < (dataframe['volume_mean_slow'].shift(1) * self.buy_bb20_volume.value))

Combined Logic: In a major uptrend, price dips to the lower Bollinger Band with shrinking volume—typical volume-shrinking oversold pattern.

3.3 Condition Three: RSI Divergence Type (V8 New)​

(dataframe['close'] < dataframe['sma_5']) &
(dataframe['ssl_up_1h'] > dataframe['ssl_down_1h']) &
(dataframe['ema_50'] > dataframe['ema_200']) &
(dataframe['ema_50_1h'] > dataframe['ema_200_1h']) &
(((dataframe['open'].rolling(2).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_1.value) &
(((dataframe['open'].rolling(12).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_2.value) &
(((dataframe['open'].rolling(144).max() - dataframe['close']) / dataframe['close']) < self.buy_dip_threshold_3.value) &
(dataframe['rsi'] < dataframe['rsi_1h'] - self.buy_rsi_diff.value)

Combined Logic: Short-term price makes a new low but RSI doesn't—a bottom divergence signal.

3.4 Condition Four: Trend Pullback Type​

Combined Logic: In a long-term uptrend, price pulls back to support while both RSI and MFI are in oversold territory.

3.5 Condition Five: EMA Crossover Type (V8Hyper Unique)​

Combined Logic: At the 1-hour level, EMA forms a golden cross while price breaks below the lower Bollinger Band.

IV. Exit Conditions Details​

4.1 Condition One: Bollinger Band Upper Rail Breakout (Continuous Confirmation)​

Continuous 3 candles' close prices all above the Bollinger Band upper rail—confirming valid breakout.

4.2 Condition Two: RSI Overbought​

RSI exceeds 76.4, entering overbought territory.

4.3 Custom Exit: Multi-Level ROI + Trailing​

4-Level ROI Take-Profit:

  • Profit > 14% + RSI < 58 → Sell
  • Profit > 8% + RSI < 56 → Sell
  • Profit > 4% + RSI < 50 → Sell
  • Profit > 1% + RSI < 50 → Sell
  • Profit > 0% + < 4% + SMA200 trending down → Sell

2-Level Trailing Take-Profit:

  • Profit 10%-40%, high-to-current pullback > 3% → Sell
  • Profit 2%-10%, high-to-current pullback > 1.5% → Sell

V. Custom Stop-Loss Mechanism​

def custom_stoploss(self, pair, trade, current_time, current_rate, current_profit, **kwargs):
    if (current_profit < 0) & (current_time - timedelta(minutes=280) > trade.open_date_utc):
        return 0.01
    elif (current_profit < self.sell_custom_stoploss_1.value):
        dataframe, _ = self.dp.get_analyzed_dataframe(pair, self.timeframe)
        last_candle = dataframe.iloc[-1].squeeze()
        if (last_candle is not None):
            if (last_candle['sma_200_dec']) & (last_candle['sma_200_dec_1h']):
                return 0.01
    return 0.99

Stop-Loss Logic:

  1. Time Stop-Loss: If in loss for 280+ minutes (~4.7 hours), force close
  2. Trend Stop-Loss: If drop exceeds 5% AND SMA200 simultaneously trending down, force close

VI. Risk Management Features​

6.1 Multi-Layer Risk Control System​

  1. Hard Stop-Loss: -27.4% (much more practical than V8's -99%)
  2. Time Stop-Loss: Loss for 280 minutes → force exit
  3. Trend Stop-Loss: Loss > 5% + SMA200 trending down → force exit
  4. Trailing Stop: Activate at 41.1% profit, 31.4% pullback triggers
  5. Multi-Level ROI Take-Profit: 4 levels, dynamic exit based on profit level
  6. Multi-Level Trailing Take-Profit: 2 levels, dynamic protection

VII. Strategy Pros & Cons​

✅ Pros​

  1. 5 Entry Conditions: Covers multiple oversold rebound patterns
  2. Custom Take-Profit: 4-level ROI + 2-level trailing, highly intelligent
  3. Custom Stop-Loss: Time stop + trend stop, comprehensive protection
  4. Optimizable Hyperparameters: Can adapt to different markets
  5. Multi-Timeframe: 5m + 1h analysis, more robust
  6. Practical Hard Stop: -27.4% much better than -99%

⚠️ Cons​

  1. Hard Stop Relatively Wide: -27.4% may cause significant losses
  2. Trailing Activation High: 41.1% before trailing activates—may miss some profits
  3. Complex Multi-Factor: 5 entry conditions increase overfitting risk
  4. Multi-Timeframe Dependency: 1h trend affects 5m decisions
  5. Parameter Overfitting Risk: Many optimizable parameters

VIII. Summary​

CombinedBinHAndClucV8Hyper is a multi-factor mean reversion strategy combining multiple oversold rebound logics with customizable take-profit and stop-loss.

Core Advantages:

  • Multiple entry conditions covering various oversold rebound patterns
  • Custom take-profit with 4-level ROI + 2-level trailing
  • Custom stop-loss with time stop + trend stop
  • Optimizable hyperparameters for market adaptation

Core Risks:

  • Hard stop relatively wide, may cause significant losses
  • High trailing activation, may miss small profits
  • Parameter optimization increases overfitting risk

Usage Suggestions:

  • Use with 4-6 trading pairs
  • Use Volume Pairlist
  • Exclude leveraged tokens (*BULL, *BEAR, *UP, *DOWN)
  • Best used with USDT pairs

Key Takeaways:

  • ✅ Multiple entry conditions, broadest adaptability
  • ✅ Custom take-profit and stop-loss, comprehensive protection
  • ✅ Hyperparameter optimizable, adaptable
  • ⚠️ Wide hard stop, significant losses possible
  • ⚠️ High trailing activation threshold
  • ⚠️ Parameter overfitting risk