BB_RPB_TSL_RNG_TBS Strategy In-Depth Analysis

Strategy Number: #444 (444th of 465 strategies)
Strategy Type: Bollinger Bands Breakout + Pullback Buy + Custom Trailing Stop + Trailing Buy
Timeframe: 5 minutes (5m) + Dynamic Information Layer

I. Strategy Overview

BB_RPB_TSL_RNG_TBS is an enhanced version of BB_RPB_TSL_RNG_2, adding a Trailing Buy Strategy (TBS) mechanism. The TBS in the strategy name represents Trailing Buy Strategy, meaning that after a buy signal appears, the strategy doesn't immediately place an order but waits for the price to fall further before buying, thereby obtaining a better entry price.

Core Features

Feature	Description
Buy Conditions	7 independent buy signals + trailing buy mechanism
Sell Conditions	2 groups of sell signal combinations + custom trailing stop
Protection Mechanism	Tiered trailing stop (3 levels) + trailing buy protection
Timeframe	5m main framework
Dependencies	qtpylib, numpy, talib, pandas_ta, technical
Special Features	Trailing buy (live/dry_run mode only)
Compatibility	Does not support backtesting/Hyperopt

II. Strategy Configuration Analysis

2.1 Basic Risk Parameters

# ROI Exit Table - Fixed 10% Take Profit
minimal_roi = {
    "0": 0.10,
}

# Stop Loss Setting - Fixed 10% (overridden by custom stop)
stoploss = -0.10

# Enable Custom Trailing Stop
use_custom_stoploss = True
use_sell_signal = True
process_only_new_candles = True  # Process only new candles, reduce computational overhead

2.2 Tiered Trailing Stop Parameters

# Hard Stop Loss (when at loss)
pHSL = -0.178  # -17.8%

# Level 1: Triggered at 1.9% profit
pPF_1 = 0.019
pSL_1 = 0.019

# Level 2: Triggered at 6.5% profit
pPF_2 = 0.065
pSL_2 = 0.062

2.3 Trailing Buy Parameters

# TrailingBuyStrat2 Class Parameters
trailing_buy_order_enabled = True  # Enable trailing buy
trailing_expire_seconds = 1800  # 30-minute timeout

# Trailing Buy Upper Limit Control
trailing_buy_max_stop = 0.02   # Stop tracking when price is 2% above starting price
trailing_buy_max_buy = 0.000   # Buy when price is below starting price

# Upward Trend Quick Buy (Optional)
trailing_buy_uptrend_enabled = False  # Disabled by default
trailing_expire_seconds_uptrend = 90  # 90-second timeout
min_uptrend_trailing_profit = 0.02  # Minimum trailing profit

III. Trailing Buy Mechanism Detailed Analysis

3.1 Trailing Buy Working Principle

The core idea of trailing buy: After a buy signal appears, wait for the price to continue falling, then enter at a better price.

Timeline:

Time  Price    Action
─────────────────────────────────
T0    100    Buy signal appears, start tracking
T1    99     Price falls, update upper limit
T2    98     Price continues falling, update upper limit
T3    99     Price rebounds, trigger buy!
─────────────────────────────────
      Entry Price: 99 (better than signal price 100)

3.2 Trailing Buy State Machine

init_trailing_dict = {
    'trailing_buy_order_started': False,  # Whether tracking has started
    'trailing_buy_order_uplimit': 0,      # Current upper limit price
    'start_trailing_price': 0,            # Starting tracking price
    'buy_tag': None,                      # Buy tag
    'start_trailing_time': None,          # Tracking start time
    'offset': 0,                          # Current offset value
    'allow_trailing': False,              # Whether trailing is allowed
}

3.3 Trailing Buy Trigger Conditions

Scenario	Condition	Action
Start Tracking	buy signal + allow_trailing	Record starting price, wait
Price Falls	current < uplimit	Update upper limit price
Price Rebounds	current > uplimit and current < start * (1 + max_buy)	Trigger Buy
Price Too High	current > start * (1 + max_stop)	Stop tracking
Timeout	Exceed 1800 seconds	Stop tracking or force buy

3.4 Trailing Buy Offset Function

def trailing_buy_offset(self, dataframe, pair, current_price):
    current_trailing_profit_ratio = (start_price - current_price) / start_price
    
    # Tiered offset
    trailing_buy_offset = {
        0.06: 0.02,  # Price falls 6%, buy on 2% rebound
        0.03: 0.01,  # Price falls 3%, buy on 1% rebound
        0: 0.005,    # Default: buy on 0.5% rebound
    }
    
    # Timeout force buy
    if duration > 1800 seconds and profit > 0 and buy_signal_active:
        return 'forcebuy'
    
    # Price above starting price, return default offset
    if profit_ratio < 0:
        return 0.005

IV. Buy Conditions Detailed Analysis

4.1 Seven Base Buy Conditions (Inherited from BB_RPB_TSL_RNG_2)

Condition Number	Condition Name	Core Logic	Buy Tag
#1	BB_checked	Oversold + Breakout combination	bb
#2	local_uptrend	Uptrend pullback	local uptrend
#3	ewo	Elliott Wave pullback	ewo
#4	ewo_2	EWO momentum upward	ewo2
#5	cofi	Stochastic golden cross confirmation	cofi
#6	nfi_32	Deep pullback	nfi 32
#7	nfi_33	Extreme oversold rebound	nfi 33

4.2 Trailing Buy Enhancement Logic

def confirm_trade_entry(self, pair, order_type, amount, rate, time_in_force, **kwargs):
    # Enable trailing buy only in live/dry_run mode
    if self.trailing_buy_order_enabled and self.config['runmode'].value in ('live', 'dry_run'):
        
        # Get latest candle data
        dataframe = self.dp.get_analyzed_dataframe(pair, self.timeframe)
        last_candle = dataframe.iloc[-1]
        current_price = rate
        
        # Trailing buy logic
        if trailing_buy['allow_trailing']:
            if buy_signal and not trailing_started:
                # Start tracking
                start_trailing(price, buy_tag)
            elif price_rebounds:
                # Trigger buy
                return True
            elif price_too_high:
                # Stop tracking
                reset_trailing()

V. Sell Logic Detailed Analysis

5.1 Sell Signal Combinations (Same as BB_RPB_TSL_RNG_2)

Sell Condition Group 1:

(close > sma_9) &
(close > ma_sell * high_offset_2) &
(rsi > 50) &
(volume > 0) &
(rsi_fast > rsi_slow)

Sell Condition Group 2:

(sma_9 > sma_9.shift(1) * 1.005) &
(close < hma_50) &
(close > ma_sell * high_offset) &
(volume > 0) &
(rsi_fast > rsi_slow)

5.2 Sell Parameter Differences

Parameter	RNG_2 Default	RNG_TBS Default	Description
base_nb_candles_sell	23	24	Sell MA period
high_offset	1.051	0.991	High position offset
high_offset_2	1.02	0.997	Low position offset
sell_btc_safe	-325	-389	BTC protection threshold

Difference Interpretation: TBS version sell offsets are more conservative (<1), meaning sell signals trigger faster.

VI. Technical Indicator System

6.1 Core Indicators (Same as RNG_2)

Indicator Category	Specific Indicators	Usage
Bollinger Bands	BB(20,2), BB(20,3)	Price channel, breakout signals
EMA	EMA(8,12,13,16,26,100)	Trend judgment
SMA	SMA(9,15,30)	Price MA
RSI	RSI(4,14,20)	Overbought/oversold
CCI	CCI(26,170)	Commodity Channel Index
RMI	RMI(variable period)	Relative Momentum
EWO	Elliott Wave(50,200)	Wave Oscillator
HMA	HMA(50)	Hull Moving Average
Williams %R	WR(14)	Overbought/oversold
CTI	CTI(20)	Relative Trend

6.2 Dynamic Information Layer Configuration

def informative_pairs(self):
    # Dynamically get quote currency for current trading pair
    if self.config['stake_currency'] in ['USDT','BUSD','USDC','DAI','TUSD','PAX','USD','EUR','GBP']:
        btc_info_pair = f"BTC/{self.config['stake_currency']}"
    else:
        btc_info_pair = "BTC/USDT"
    
    informative_pairs.append((btc_info_pair, self.timeframe))

Design Advantage: Automatically adapts to exchanges with different quote currencies.

VII. Risk Management Features

7.1 Dual Trailing Mechanism

Trailing Type	Direction	Purpose
Trailing Buy	Before buying	Obtain better entry price
Trailing Stop	After buying	Lock in profits, limit losses

7.2 Trailing Buy Risk Control

# Price rise upper limit
trailing_buy_max_stop = 0.02  # Stop tracking when price is 2% above starting price

# Price fall buy
trailing_buy_max_buy = 0.000  # Buy when price is below starting price

# Time limit
trailing_expire_seconds = 1800  # 30-minute timeout

7.3 Trailing Buy Important Notes

⚠️ Important Warning: Trailing buy functionality is NOT compatible with backtesting and Hyperopt!

Reasons:

Backtesting assumes immediate execution when buy signal appears
Trailing buy relies on real-time price changes
Cannot simulate trailing process in historical data

VIII. Strategy Advantages and Limitations

✅ Advantages

Better Entry Price: Trailing buy mechanism may obtain lower entry prices
Dual Trailing Protection: Track price before buying, track stop loss after buying
Dynamic Adaptation: Automatically adapts to different quote currencies
Time Efficiency: process_only_new_candles reduces computational overhead
Inherits Complete Logic: Retains all buy conditions from BB_RPB_TSL_RNG_2

⚠️ Limitations

No Backtesting Support: Trailing buy cannot be properly simulated in backtesting
No Hyperopt Support: Parameter optimization must use base version
Live Trading Depends on Real-Time Prices: API latency may affect trailing效果
Higher Parameter Complexity: Additional trailing buy parameters
Timeout Risk: 30-minute timeout may miss entry opportunities

IX. Applicable Scenario Recommendations

Market Environment	Recommended Configuration	Description
Volatile Rise	Enable trailing buy	Obtain better entry price
Fast Trend	Disable trailing buy	Buy immediately when signal appears
Low Volatility	Adjust timeout parameters	Increase timeout time waiting for entry
High Volatility	Tighten trailing parameters	Reduce waiting time

X. Comparison with BB_RPB_TSL_RNG_2

10.1 Core Differences

Feature	RNG_2	RNG_TBS
Trailing Buy	❌	✅
Backtesting Support	✅	❌
Hyperopt Support	✅	❌
Information Pair Configuration	Fixed BTC/USDT	Dynamic adaptation
Sell Offset	Conservative	More conservative
Calculation Mode	Per tick	Only new candles

10.2 Usage Recommendations

Scenario	Recommended Version
Backtesting/Parameter Optimization	BB_RPB_TSL_RNG_2
Live Trading (Pursuing Better Entry)	BB_RPB_TSL_RNG_TBS
Live Trading (Pursuing Speed)	BB_RPB_TSL_RNG_2

XI. Summary

BB_RPB_TSL_RNG_TBS is the live trading enhanced version of BB_RPB_TSL_RNG_2. Its core value lies in:

Trailing Buy: Wait for price to fall further before entering, may obtain better prices
Dual Trailing: Track price before buying, track stop loss after buying, full-process protection
Dynamic Adaptation: Automatically adapts to exchanges with different quote currencies
Inherits Complete Logic: Retains all mature buy conditions from base version

For quantitative traders:

Parameter Optimization Phase: Use BB_RPB_TSL_RNG_2 for backtesting and Hyperopt
Live Trading Deployment Phase: Use BB_RPB_TSL_RNG_TBS for trailing buy advantages
Run Simultaneously: Can use both versions on different trading pairs for comparison

I. Strategy Overview​

Core Features​

II. Strategy Configuration Analysis​

2.1 Basic Risk Parameters​

2.2 Tiered Trailing Stop Parameters​

2.3 Trailing Buy Parameters​

III. Trailing Buy Mechanism Detailed Analysis​

3.1 Trailing Buy Working Principle​

3.2 Trailing Buy State Machine​

3.3 Trailing Buy Trigger Conditions​

3.4 Trailing Buy Offset Function​

IV. Buy Conditions Detailed Analysis​

4.1 Seven Base Buy Conditions (Inherited from BB_RPB_TSL_RNG_2)​

4.2 Trailing Buy Enhancement Logic​

V. Sell Logic Detailed Analysis​

5.1 Sell Signal Combinations (Same as BB_RPB_TSL_RNG_2)​

5.2 Sell Parameter Differences​

VI. Technical Indicator System​

6.1 Core Indicators (Same as RNG_2)​

6.2 Dynamic Information Layer Configuration​

VII. Risk Management Features​

7.1 Dual Trailing Mechanism​

7.2 Trailing Buy Risk Control​

7.3 Trailing Buy Important Notes​

VIII. Strategy Advantages and Limitations​

✅ Advantages​

⚠️ Limitations​

IX. Applicable Scenario Recommendations​

X. Comparison with BB_RPB_TSL_RNG_2​

10.1 Core Differences​

10.2 Usage Recommendations​

XI. Summary​