CombinedBinHAndClucV5 Strategy Analysis

Strategy Number: #117 (Batch 12, 117th Strategy) Strategy Type: Multi-Factor Mean Reversion · Oversold Rebound Strategy Timeframe: 5 Minutes (5m)

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I. Strategy Overview

CombinedBinHAndClucV5 is a multi-factor mean reversion trading strategy that combines the signal logic of two classic strategies—BinHV45 and ClucMay72018—to capture oversold rebound opportunities in sideways markets.

The core idea is: when price deviates from the lower Bollinger Band due to short-term volatility and shows a clear contracting pattern, it is identified as a potential mean reversion signal. Volume filtering and EMA trend judgment are used to reduce false breakout probability.

The strategy runs on a 5-minute short-term timeframe by default, emphasizing fast entry and exit.

V5's Core Upgrade over V4:

• Take-profit threshold raised from 1.9% to 2.0%, pursuing higher per-trade returns
• Trailing stop activation threshold raised from 2.5% to 2.75%, giving trends more room to develop
• Trailing stop pullback depth deepened from 1% to 1.25%, avoiding being shaken out by short-term pullbacks
• Exit signal changed from 5 consecutive candles to 6 consecutive candles breaking the upper rail, reducing false breakout interference

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II. Strategy Configuration Analysis

2.1 Basic Parameters

Parameter	Value	Description
timeframe	5m	5-minute candles
minimal_roi	{"0": 0.02}	Take-profit at 2.0% cumulative return
stoploss	-0.99	Stop-loss nearly disabled (-99%)
use_exit_signal	True	Enable exit signal judgment
exit_profit_only	True	Only sell in profitable state
exit_profit_offset	0.001	Only allow selling after profit exceeds 0.1%
ignore_roi_if_entry_signal	True	Ignore ROI limit when entry signal appears

2.2 Trailing Stop Configuration

Parameter	Value	Description
trailing_stop	True	Enable trailing stop
trailing_only_offset_is_reached	True	Only activate trailing after profit reaches offset
trailing_stop_positive	0.0125	Trailing stop distance 1.25%
trailing_stop_positive_offset	0.0275	Activate trailing when profit reaches 2.75%

V5 Key Change: Trailing stop activation raised from V4's 2.5% to 2.75%, pullback depth deepened from 1% to 1.25%, giving trends more room.

2.3 Order Types

order_types = {
    'entry': 'limit',    # Limit order entry
    'exit': 'limit',     # Limit order exit
    'stoploss': 'market' # Stop-loss uses market order
}

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III. Entry Conditions Details

3.1 Condition One: BinHV45 Strategy

(dataframe['lower'].shift().gt(0) &
 dataframe['bbdelta'].gt(dataframe['close'] * 0.008) &
 dataframe['closedelta'].gt(dataframe['close'] * 0.0175) &
 dataframe['tail'].lt(dataframe['bbdelta'] * 0.25) &
 dataframe['close'].lt(dataframe['lower'].shift()) &
 dataframe['close'].le(dataframe['close'].shift()) &
 (dataframe['volume'] > 0))

Signal Interpretation:

Condition	Meaning
lower.shift() > 0	Confirm lower Bollinger Band is valid
bbdelta > close * 0.008	Channel width at least 0.8% of price, ensuring sufficient volatility
closedelta > close * 0.0175	Closing price differs from previous close by more than 1.75%
tail < bbdelta * 0.25	Lower wick less than 25% of channel width, close near the day's low
close < lower.shift()	Close breaks below the previous day's lower Bollinger Band
close <= close.shift()	Close not higher than previous day's close
volume > 0	Exclude zero-volume abnormal candles

Combined Logic: Price drops rapidly and pierces the lower Bollinger Band with sufficient volatility and a short lower wick—typical oversold rebound pattern.

3.2 Condition Two: ClucMay72018 Strategy

((dataframe['close'] < dataframe['ema_slow']) &
 (dataframe['close'] < 0.985 * dataframe['bb_lowerband']) &
 (dataframe['volume'] < (dataframe['volume_mean_slow'].shift(1) * 20)) &
 (dataframe['volume'] > 0))

Signal Interpretation:

Condition	Meaning
close < ema_slow	Price below the 50-day EMA, confirming medium-term downtrend
close < 0.985 * bb_lowerband	Price clearly below Bollinger Band lower rail
volume < volume_mean_slow.shift(1) * 20	Volume less than 20x the 30-day average (abnormally shrunken)
volume > 0	Exclude zero-volume abnormal candles

Combined Logic: In a downtrend, price rapidly breaks below the lower Bollinger Band, but volume does not expand—downward momentum is insufficient, a corrective rebound may come.

3.3 Entry Signal Trigger Rules

The two conditions have an OR relationship—meeting either one generates a buy signal.

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IV. Exit Conditions Details

4.1 Take-Profit Logic

• Take-profit triggers when cumulative return reaches 2.0%
• exit_profit_only = True ensures selling only in profitable state
• exit_profit_offset = 0.001 requires profit to exceed 0.1%

V5 Change: Take-profit raised from V4's 1.9% to 2.0%.

4.2 Trailing Stop Logic

When open profit reaches 2.75% (trailing_stop_positive_offset), trailing stop activates:

• Stop-loss line moves up, locking in at least 1.25% of profit
• If price continues to rise, the stop-loss line follows
• If price drops back to touch the trailing stop line, close at market price

V5 Key Change: Activation threshold raised from 2.5% to 2.75%, pullback depth deepened from 1% to 1.25%—strategy is bolder, giving trends more room.

4.3 Exit Signal Conditions

(dataframe['close'] > dataframe['bb_upperband']) &
(dataframe['close'].shift(1) > dataframe['bb_upperband'].shift(1)) &
(dataframe['high'].shift(2) > dataframe['bb_upperband'].shift(2)) &
(dataframe['high'].shift(3) > dataframe['bb_upperband'].shift(3)) &
(dataframe['high'].shift(4) > dataframe['bb_upperband'].shift(4)) &
(dataframe['high'].shift(5) > dataframe['bb_upperband'].shift(5)) &
(dataframe['high'].shift(6) > dataframe['bb_upperband'].shift(6)) &
(dataframe['volume'] > 0)

V5 Change: Changed from 5 consecutive candles to 6 consecutive candles breaking the upper rail.

Combined Logic: When price stays above the Bollinger Band upper rail for 6 consecutive 5-minute candles, trigger a sell.

4.4 Custom Stop-Loss Logic

def custom_stoploss(self, pair, trade, current_time, current_rate, current_profit, **kwargs):
    if (current_time - timedelta(minutes=300) > trade.open_date_utc) & (current_profit < 0):
        return 0.01
    return 0.99

Special Handling:

• If held for more than 300 minutes (5 hours) and still in loss, force market exit
• Purpose: prevent floating losses from expanding while giving trends more room

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V. Technical Indicator System

5.1 Bollinger Band Indicators

Indicator	Calculation	Purpose
mid / lower	Custom Bollinger Bands (40, 2)	Core indicator for BinHV45
bbdelta	|mid - lower|	Bollinger Band channel width
bb_lowerband	qtpylib.bollinger_bands (20, 2)	Bollinger Band used by Cluc
bb_middleband	Bollinger Band middle rail	Trend reference
bb_upperband	Bollinger Band upper rail	Sell signal trigger

5.2 Moving Average Indicators

Indicator	Period	Purpose
ema_slow	50	Judge medium-term trend direction

5.3 Volatility Indicators

Indicator	Formula	Meaning
closedelta	|close - close.shift(1)|	Intraday closing price volatility
tail	|close - low|	Lower wick length

5.4 Volume Indicators

Indicator	Period	Purpose
volume_mean_slow	30	Volume moving average for volume-shrinking filter

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VI. Risk Management Features

6.1 Multi-Layer Risk Control System

1. Fixed Stop-Loss: -99% nearly disabled, relies on other risk controls
2. Time Stop-Loss: Force exit at market if still in loss after 5 hours
3. Trailing Stop: Activate 1.25% trailing when profit exceeds 2.75%
4. Take-Profit Threshold: 2.0% cumulative return triggers automatic take-profit

V5 Core Design Philosophy: Further "loosening" on V4's foundation, giving trends more room while using time stop-loss to prevent long floating losses.

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VII. Strategy Pros & Cons

✅ Pros

1. Dual-Factor Complementarity: BinHV45 + ClucMay72018, broader adaptability
2. V5 Optimized Trend Space: Trailing stop at 2.75%, pullback depth 1.25%, trends won't shake you out easily
3. V5 Higher Take-Profit: From 1.9% to 2.0%, higher per-trade returns
4. V5 Stricter Exit: 6 consecutive candles before selling, fewer false breakouts
5. Clear Signals: Entry conditions specific and quantifiable

⚠️ Cons

1. 5-Minute Period Noise: High-frequency trading generates frequent costs
2. V5 More "Greedy": 2.0% take-profit harder to reach in sideways markets
3. Volatility-Dependent: Mean reversion, performs limitedly in trending markets
4. V5 Stricter Exit: 6 consecutive candles may miss optimal exit
5. V5 Loose Stop-Loss: -99% nearly disabled, may endure large floating losses in extreme drops

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VIII. Applicable Scenarios

✅ Recommended

• Sideways Markets: Price fluctuates around Bollinger Band rails
• High-Volatility Pairs: High volatility more easily triggers conditions
• Trend Continuation: V5's loose design suits pullback entries
• Trend Following: V5 optimized trailing parameters, can "eat" more of the trend

❌ Not Recommended

• One-Directional Uptrend: May sell too early (but V5 has optimized)
• One-Directional Downtrend: Time stop-loss triggers repeatedly
• Low-Volatility Markets: Entry conditions hard to meet
• Long-Term Investment: 5-minute timeframe unsuitable

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IX. Summary

CombinedBinHAndClucV5 is a hybrid mean reversion strategy combining BinHV45 and ClucMay72018.

V5's Core Upgrades:

• Take-profit raised from 1.9% to 2.0%
• Trailing stop activation raised from 2.5% to 2.75%, pulling back deeper to 1.25%
• Exit conditions changed from 5 to 6 consecutive candles

This strategy performs excellently in high-volatility sideways markets and trend continuation markets. The loose stop-loss design requires strong risk management.

Key Takeaways:

• ✅ Suitable for sideways markets, oversold rebounds
• ✅ V5 optimized for trend continuation, pursuing higher returns
• ⚠️ Loose stop-loss, risk control relies on time stop-loss and trailing stop
• ⚠️ High-frequency trading, costs need close attention
• ⚠️ Poor performance in one-directional drops