ClucHAnix_BB_RPB_MOD_CTT Strategy Analysis

Strategy ID: #99 (465 strategies, 99th)
Strategy Type: Multi-Condition Trend Following + Bollinger Band Mean Reversion + Custom Dynamic Stop-Loss + CTT Time Window Trading
Timeframe: 1 Minute (1m) + 1-Hour/1-Day Informational Layer

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I. Strategy Overview

ClucHAnix_BB_RPB_MOD_CTT is an advanced trend-following strategy based on Heikin Ashi (HA) candlesticks and Bollinger Band mean reversion principles. This strategy is an enhanced version of ClucHAnix_BB_RPB_MOD, introducing CTT (Custom Time Window Trading) — enabling or disabling trading signals during specific time windows to filter unfavorable trading periods. The name "CTT" represents the Custom Time Window Trading mechanism.

Core Features

Feature	Description
Entry Conditions	8 independent entry signals (7 independently enable/disable), all require base protection filtering
Exit Conditions	1 base exit signal + multi-layer dynamic profit-taking/stop-loss system (BB_RPB_TSL style)
Protection Mechanisms	2 sets of entry protection parameters (BTC trend + Pump) + CTT time window filtering
Timeframe	Primary 1m + Informational 1h and 1d
Dependencies	technical, pandas_ta, talib, numpy, pandas, qtpylib

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II. Strategy Configuration Analysis

2.1 Core Risk Parameters

# ROI Exit Table
minimal_roi = {
    "0": 0.10,      # Immediate exit at 10% profit
    "60": 0.07,     # Profit drops to 7% after 1 minute
    "120": 0.05,    # Profit drops to 5% after 2 minutes
    "240": 0.03,    # Profit drops to 3% after 4 minutes
}

# Stop Loss
stoploss = -0.10   # Base stop-loss line -10%

# Trailing Stop
trailing_stop = True
trailing_stop_positive = 0.001    # Activates trailing after 0.1% profit
trailing_stop_positive_offset = 0.012  # Trailing distance 1.2%
trailing_only_offset_is_reached = False

2.2 Order Type Configuration

order_types = {
    'buy': 'market',
    'sell': 'market',
    'emergencysell': 'market',
    'forcebuy': "market",
    'forcesell': 'market',
    'stoploss': 'market',
    'stoploss_on_exchange': False,
    'stoploss_on_exchange_interval': 60,
    'stoploss_on_exchange_limit_ratio': 0.99
}

2.3 CTT Custom Time Window Configuration

# CTT Time Window Parameters
enable_ctt = BooleanParameter(default=True)      # Enable CTT mechanism
ctt_start_hour = IntParameter(0, 23, default=9)  # Daily trading start hour
ctt_end_hour = IntParameter(0, 23, default=23)   # Daily trading end hour
ctt_days = CategoricalParameter(['all', 'weekdays', 'weekends'], default='all')  # Trading date setting

# Special period exclusions
exclude_market_open = BooleanParameter(default=True)  # Exclude opening period
exclude_market_close = BooleanParameter(default=False) # Exclude closing period

Design Philosophy:

• CTT mechanism allows traders to trade only during specific time windows, filtering low-liquidity or abnormally volatile periods
• Configurable to only trade during active periods (e.g., 9:00-23:00)
• Can exclude special periods like market open/close to avoid getting caught

2.4 Custom Stop-Loss Parameters (BB_RPB_TSL Mechanism)

# Hard stop-loss line
pHSL = DecimalParameter(-0.500, -0.040, default=-0.08)

# Profit threshold range 1
pPF_1 = DecimalParameter(0.008, 0.020, default=0.016)  # Trigger point
pSL_1 = DecimalParameter(0.008, 0.020, default=0.011)  # Corresponding stop-loss

# Profit threshold range 2
pPF_2 = DecimalParameter(0.040, 0.100, default=0.080)  # Trigger point
pSL_2 = DecimalParameter(0.020, 0.070, default=0.040)  # Corresponding stop-loss

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III. Entry Conditions Details

3.1 CTT Time Window Filtering Mechanism

CTT performs time window filtering before entry condition execution. Entry signals only generate within allowed time windows:

Parameter	Default	Description
enable_ctt	True	Enable CTT mechanism
ctt_start_hour	9	Daily trading start hour (UTC)
ctt_end_hour	23	Daily trading end hour (UTC)
ctt_days	all	Trading dates: all/weekdays/weekends

3.2 Base Protection Mechanisms (2 Sets)

Protection Type	Parameter Description	Default Value
BTC trend protection	BTC 1-day vs 1-minute price change rate	> -0.311
Pump intensity protection	Pump intensity must be below threshold	< 0.133

3.3 Entry Condition Details

8 independent entry conditions, 7 can be independently enabled/disabled. Identical to ClucHAnix_BB_RPB_MOD.

Condition Group	Condition	Core Logic	Status
RSI Oversold	lambo1, lambo2	Multi-period RSI identifies oversold rebounds	lambo1 disabled, lambo2 enabled
Trend Confirmation	local_uptrend	MA bullish + lower band support	Enabled
Comprehensive	nfi_32	RSI divergence + CTI weak trend	Enabled
Volatility Breakout	ewo_1, ewo_low	EWO extreme + RSI oversold	ewo_1 disabled, ewo_low enabled
Stochastic	cofi	Stochastic golden cross + trend confirmation	Disabled
Bollinger Regression	clucHA	HA candles + Bollinger Band mean reversion	Disabled

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IV. Exit Logic Details

4.1 Multi-Layer Profit-Taking System (BB_RPB_TSL Mechanism)

Identical to ClucHAnix_BB_RPB_MOD:

Profit Range              Stop-Loss Strategy
──────────────────────────────────────────────────────
Profit < 1.6%           Uses hard stop pHSL = -8%
1.6% ≤ Profit < 8%     Linear interpolation: from -1.1% to -4%
Profit ≥ 8%             Stop line moves up: let profits run

4.2 Base Exit Signal (1 Total)

# Exit signal: Fisher indicator reversal
- fisher > 0.38414
- ha_high ≤ ha_high.shift(1)
- ha_high.shift(1) ≤ ha_high.shift(2)
- ha_close ≤ ha_close.shift(1)
- ema_fast > ha_close
- ha_close * 1.07634 > bb_middleband
- volume > 0

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V. Technical Indicator System

5.1 Core Indicators

Indicator Category	Specific Indicators	Purpose
Trend Indicators	EMA 8/14/26, SMA 15	Determine price trend direction
Momentum Indicators	RSI 4/14/20, ROCR, Fisher	Identify overbought/oversold and momentum
Volatility Indicators	Bollinger Bands (20, 40 period), CTI	Determine volatility and support/resistance
Wave Indicators	EWO (Elliott Wave Oscillator)	Identify trend strength and turning points
Stochastic Indicators	Stoch FastK/FastD	Determine short-term overbought/oversold

5.2 Custom Indicators

Indicator	Formula	Purpose
Pump intensity	(ZEMA_30 - ZEMA_200) / ZEMA_30	Identify market Pump intensity
HA Candlestick	qtpylib.heikinashi()	Smooth price, clearer trend identification
CTT Time Window	Time filtering logic	Filter unfavorable trading periods

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VI. Risk Management Highlights

6.1 CTT Time Window Filtering

CTT is a core distinctive feature, filtering unfavorable trading periods via time windows:

Time Period	Trading Status	Description
Within allowed window	Normal trading	Decide whether to buy based on other conditions
Outside allowed window	Trading prohibited	No trading even if buy conditions met
Exclude open/close	Special period filtering	Avoid liquidity risk

6.2 Multi-Layer Dynamic Profit-Taking/Stop-Loss

Profit Range	Stop-Loss Strategy	Protection Goal
Profit < 1.6%	Hard stop -8%	Limit maximum loss
1.6% ≤ Profit < 8%	Dynamic move 1.1%→4%	Protect realized profits
Profit ≥ 8%	Trailing stop	Let profits run

6.3 Entry Conditions Independently Enable/Disable

Same 7 boolean parameters as ClucHAnix_BB_RPB_MOD.

6.4 Market Environment Protection

• BTC trend protection: Reduces buy signals when BTC falls
• Pump intensity protection: Reduces buy priority when market rallies rapidly

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VII. Strategy Pros & Cons

Pros

1. Multi-condition parallel: 8 independent entry conditions cover various market patterns
2. Dynamic profit-taking/stop-loss: BB_RPB_TSL protects profits while letting them run
3. CTT time filtering: Filters unfavorable trading periods via time windows
4. Self-adapting market: BTC protection, Pump protection, and CTT adapt to different environments
5. Conditions configurable: Each entry independently enable/disable

Cons

1. Many parameters: 50+ parameters, high optimization difficulty
2. 1-minute timeframe: High-frequency trading demands high hardware and network
3. Overfitting risk: Multi-condition strategies easily overfit on historical data
4. High computation: Multi-indicator calculation may cause delays
5. CTT time restrictions: May miss some opportunities during disallowed periods

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VIII. Applicable Scenarios

Market Environment	Recommended Configuration	Description
Volatile markets	Enable lambo2, local_uptrend, nfi32, ewo_low	Capture oversold rebounds and trend continuation
Trending markets	Enable clucHA + extend ROI time	Let profits run
Ranging markets	Close all conditions, retain base protection only	Reduce frequent trading
BTC rising	Enable BTC protection	Follow the trend
Low-liquidity periods	Enable CTT, limit trading periods	Avoid getting caught

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IX. Applicable Market Environment Details

ClucHAnix_BB_RPB_MOD_CTT is the Bollinger Band mean reversion + dynamic profit-taking/stop-loss + CTT time window version of the Cluc series. It performs best in moderately volatile trending markets, and should be used cautiously in extreme markets or inactive periods.

9.1 Core Strategy Logic

• Multi-condition trend following: 8 independent entry conditions capture various patterns
• Bollinger Band mean reversion: Find rebound opportunities when price touches lower band
• Dynamic profit-taking/stop-loss: BB_RPB_TSL auto-adjusts protection based on profit
• CTT time window: Filters unfavorable trading periods via time
• Market environment filtering: BTC and Pump protection avoid unfavorable environments

9.2 Performance in Different Market Environments

Market Type	Rating	Analysis
Trending up	Excellent	Multi-conditions catch trend starts, dynamic profit-taking lets profits run
Ranging consolidation	Good	RSI oversold conditions capture range boundaries
Trending down	Poor	BTC protection filters some, but 1m hard to resist big trends
Extreme volatility	Poor	Pump protection + CTT help somewhat, but many parameters require caution
Low-liquidity periods	Excellent	CTT time filtering perfectly avoids these periods

9.3 Key Configuration Recommendations

Configuration	Recommended Value	Description
max_open_trades	3-5	Adjust based on capital
ROI table	Default	Already optimized for 1m framework
CTT configuration	9-23 UTC	Adjust based on target market
Custom stop-loss	Default	Already optimized for moderate volatility

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X. Important Reminder: The Cost of Complexity

10.1 Learning Curve

50+ parameters require deep understanding of each indicator. Start with defaults and adjust gradually.

10.2 Hardware Requirements

Number of Pairs	Minimum RAM	Recommended RAM
5-10 pairs	2 GB	4 GB
20-30 pairs	4 GB	8 GB
50+ pairs	8 GB	16 GB

Note: 1-minute framework + multi-indicator calculation + CTT time checks demand CPU. Ensure VPS performance is sufficient.

10.3 Backtesting vs. Live Trading Differences

• 1-minute framework backtest vs. live differences may be significant
• Multi-condition combinations may cause signal delays
• CTT time windows may cause backtest vs. live signal count differences
• Recommend small-capital live testing to verify

10.4 Manual Trader Recommendations

This strategy is unsuitable for manual trading. 8 entry conditions + CTT time checks + multi-layer dynamic profit-taking/stop-loss make manual execution nearly impossible.

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XI. Summary

ClucHAnix_BB_RPB_MOD_CTT is a highly complex trend-following strategy combining multi-condition entry, dynamic profit-taking/stop-loss, market environment filtering, and CTT time window trading. Its core value lies in:

1. Multi-condition coverage: 8 independent entry conditions cover oversold rebounds, trend continuation, mean reversion, and more
2. Intelligent profit-taking/stop-loss: BB_RPB_TSL auto-adjusts protection based on profit level
3. CTT time filtering: Filters unfavorable trading periods via time windows
4. Self-adapting: BTC protection, Pump protection, and CTT help avoid unfavorable environments

For quantitative traders, this strategy suits experienced traders who understand each parameter's meaning and conduct thorough backtesting and paper trading before live trading. Not recommended for newcomers.