Hacklemore3 Strategy: In-Depth Analysis

Strategy ID: #194 (194th of 465 strategies) Strategy Type: Trend Following / Dynamic Take-Profit Timeframe: 5 Minutes (5m)

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I. Strategy Overview

Hacklemore3 is the third version in the Hacklemore series, a trend-following strategy based on the 5-minute timeframe. Compared to Hacklemore2 (15-minute version), Hacklemore3's core innovation is the dual-mode exit mechanism: when profitable, it uses dynamic trailing stop to protect profits; when in loss, it relies on trend and momentum indicators to judge exit timing.

Core Features

Feature	Description
Entry Conditions	Uptrend + RMI strong + SAR confirmation + Volume filter
Exit Conditions	Dual-mode: Dynamic trailing stop when profitable / Trend+momentum when in loss
Protections	Trailing stop + Hard stop-loss + ROI tiered take-profit
Timeframe	5 Minutes (short-term)
Dependencies	TA-Lib, technical (RMI, qtpylib)

Differences from Hacklemore2

Comparison	Hacklemore2	Hacklemore3
Timeframe	15 Minutes	5 Minutes
Trade Frequency	Medium	Higher
Exit Logic	Unified mode	Dual-mode (profit/loss separate)
Take-Profit Strategy	ROI tiered mainly	Dynamic trailing mainly
Applicable Scenario	Mid-term trend	Short-term swing

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II. Strategy Configuration Analysis

2.1 Core Risk Parameters

# ROI Exit Table
minimal_roi = {
    "0": 0.15,    # Immediate exit: 15% profit
    "5": 0.015    # After 5 minutes: 1.5% profit
}

# Stop-Loss Settings
stoploss = -0.10  # -10% hard stop-loss

# Trailing Stop
trailing_stop = True
trailing_stop_positive = 0.02       # Activate trailing at 2% profit
trailing_stop_positive_offset = 0.03  # 3% offset

Design Philosophy:

• High Target Profit: Initial target 15%, suitable for capturing strong trends
• Fast Step-Down: Target drops to 1.5% after 5 minutes, adapting to short-term rhythm
• Moderate Hard Stop-Loss: -10% provides sufficient volatility room
• Trailing Stop: Activates at 2% profit, effectively locking in gains

2.2 Order Type Configuration

order_types = {
    'buy': 'limit',
    'sell': 'limit',
    'stoploss': 'market',
    'stoploss_on_exchange': False
}

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III. Entry Conditions Details

3.1 Core Entry Logic

The strategy uses a quadruple-confirmation mechanism — all conditions must be met simultaneously:

Condition #	Condition Name	Logic Description
Condition 1	Uptrend Confirmation	up_trend == True (recent high judgment)
Condition 2	RMI Strong	RMI > 55 and RMI >= RMI.rolling(3).mean()
Condition 3	SAR Confirmation	sar < close (price above SAR)
Condition 4	Volume Filter	volume < volume_ma * 30

3.2 Entry Conditions Explained

Condition #1: Uptrend Confirmation

dataframe['up_trend'] == True

Logic:

• Confirms uptrend by price making a recent high
• Ensures entry only when trend is clear
• Avoids frequent trading in ranging or declining markets

Condition #2: RMI Strong

(dataframe['RMI'] > 55) & (dataframe['RMI'] >= dataframe['RMI'].rolling(3).mean())

Logic:

• RMI (Relative Momentum Index) is a variant of RSI focused on momentum changes
• RMI > 55 indicates momentum is in the strong zone
• RMI above its 3-period moving average confirms momentum is strengthening

Condition #3: SAR Confirmation

dataframe['sar'] < dataframe['close']

Logic:

• Parabolic SAR is below price
• Confirms current uptrend
• Provides additional trend direction verification

Condition #4: Volume Filter

dataframe['volume'] < dataframe['volume_ma'] * 30

Logic:

• Volume should not be abnormally inflated
• Avoids entry during extreme market conditions (e.g., breaking news)
• Normal volume environment favors trend continuation

3.3 Comprehensive Entry Signal Assessment

The strategy's entry logic can be summarized as:

Trend confirmed + Momentum strong + Multi-verification — only considers entry when uptrend is clear, RMI momentum is strengthening, SAR confirms trend direction, and volume is normal.

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IV. Exit Logic Details

4.1 Dual-Mode Exit Mechanism

Hacklemore3's core innovation is using different exit strategies based on profit/loss state:

Mode	Trigger Condition	Core Logic
Loss Mode	current_profit < 0	Trend broken + momentum decayed → Exit
Profit Mode	current_profit > 0	Dynamic trailing stop → Protect profits

4.2 Loss Mode: Trend-Based Exit

# Exit Signal 1: Downtrend confirmed
dataframe['dn_trend'] == True

# Exit Signal 2: RMI momentum weak
dataframe['RMI'] < 50

Logic:

• When position is in loss, strategy focuses more on whether trend is broken
• dn_trend == True indicates trend has reversed
• RMI < 50 indicates momentum has decayed to the weak zone
• Both conditions must be met simultaneously to trigger exit

Design Philosophy:

In loss, give the trend a "second chance" — only admit defeat when trend clearly reverses and momentum decays, avoiding being stopped out by normal fluctuations.

4.3 Profit Mode: Dynamic Trailing Stop

# Dynamic trailing stop logic
if current_profit > 0:
    # Price drops below 80% of the highest price
    price_drop = current_price < max_price * 0.8
    # Consecutive decline
    consecutive_drop = dataframe['close'] < dataframe['close'].shift(1)
    
    if price_drop and consecutive_drop:
        sell_signal = True

Logic:

• When position is profitable, strategy records the highest price during holding
• If price falls below 80% of the highest price (20% pullback), and consecutive decline occurs, trigger exit
• This mechanism allows profits to run while protecting in a timely manner when trend turns

Design Philosophy:

In profit, "let profits run" — continue holding as long as price hasn't pulled back significantly, using dynamic stop to protect accumulated gains.

4.4 ROI Tiered Take-Profit Mechanism

The strategy also retains ROI tiered take-profit:

Holding Time	Target Profit	Design Intent
Immediate	15%	Capture large profits from strong trends
After 5 minutes	1.5%	Quick lock-in, adapting to short-term rhythm

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V. Technical Indicator System

5.1 Core Indicators

Indicator Category	Specific Indicators	Purpose
Momentum Indicator	RMI (Relative Momentum Index)	Judges momentum strength and direction
Trend Indicator	EMA	Confirms trend direction
Reversal Indicator	SAR (Parabolic SAR)	Trend reversal confirmation
Trend Judgment	Recent High	Confirms uptrend
Volume	Volume MA	Filters abnormal volume

5.2 RMI Indicator Explained

RMI (Relative Momentum Index) is a variant of RSI:

• Traditional RSI calculates price changes; RMI calculates momentum changes
• Compared to RSI, RMI is more sensitive to trend changes
• Overbought zone: RMI > 70
• Oversold zone: RMI < 30
• Strong zone: RMI > 55 (this strategy's buy threshold)
• Weak zone: RMI < 50 (this strategy's sell threshold)

5.3 SAR Indicator Explained

Parabolic SAR:

• Used to determine trend direction and reversal points
• SAR below price: uptrend
• SAR above price: downtrend
• Used in this strategy for trend confirmation

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VI. Risk Management Highlights

6.1 Trailing Stop Mechanism

trailing_stop = True
trailing_stop_positive = 0.02
trailing_stop_positive_offset = 0.03

Design Philosophy:

• Activates trailing stop when profit reaches 2%
• Trail offset of 3% gives some pullback room
• Effectively protects accumulated profits without being stopped out too early

6.2 Hard Stop-Loss Protection

stoploss = -0.10  # -10%

Design Philosophy:

• Moderate stop-loss suitable for trend strategies
• Provides sufficient volatility room
• Avoids "bouncing right back after being stopped out"

6.3 Multi-Layer Risk Protection

Protection Layer	Trigger Condition	Function
ROI Take-Profit	Profit target reached	Lock in gains
Trailing Stop	Pullback after 2% profit	Protect profits
Dynamic Stop	20% price pullback when profitable	Trend reversal exit
Trend Stop	Loss + trend reversal	Control losses
Hard Stop-Loss	-10%	Last line of defense

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VII. Strategy Pros & Cons

Strengths

1. Dual-Mode Exit Mechanism: Protects profits when profitable, gives trend a "second chance" when losing — clear and reasonable logic
2. Strong Short-Term Adaptability: 5-minute timeframe, suitable for short-term trading and quick reactions
3. Complete Risk Control: Trailing stop + Hard stop-loss + Dynamic stop + ROI tiered, multi-layer protection
4. Multi-Indicator Confirmation: RMI + SAR + Trend judgment, reliable signals

Weaknesses

1. High Trading Costs: 5-minute level trades frequently; fees and slippage significantly impact
2. Average Performance in Ranging Markets: Common weakness of trend strategies; may frequently get stopped out in ranging markets
3. Parameter Sensitivity: RMI threshold, SAR parameters need adjustment for different trading pairs
4. Lagging: Trend confirmation has lag, may miss optimal entry points

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VIII. Applicable Scenarios

Market Environment	Recommendation	Notes
Unilateral Upward	Strongly Recommended	Core scenario, trend-following effective
Downtrend	Not Recommended	Will not trigger buy signals
Ranging Market	Use with Caution	May frequently get stopped out
High Volatility	Adjust Parameters	May widen stop-loss or adjust RMI threshold

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IX. Applicable Market Environment Analysis

Hacklemore3 is a typical short-term trend-following strategy. Based on its code architecture and dual-mode exit mechanism, it is best suited for unilateral upward markets, and performs poorly in ranging or declining markets.

9.1 Strategy Core Logic

• Enter on trend confirmation: Recent high + RMI strong + SAR confirmation
• Dual-mode exit: Loss mode watches trend; profit mode watches pullback
• Dynamic protection: Activates dynamic trailing stop when profitable
• Volume filter: Avoids extreme market conditions

9.2 Performance in Different Market Environments

Market Type	Rating	Analysis
Unilateral Upward	★★★★★	Core scenario, dual-mode exit effectively protects profits
Ranging Market	★★★☆☆	Fewer signals, may be repeatedly stopped out
Unilateral Downward	☆☆☆☆☆	Will not trigger buy signals, no trades
High Volatility	★★★☆☆	Trailing stop may trigger prematurely

9.3 Key Configuration Recommendations

Config Item	Suggested Value	Notes
trailing_stop_positive	0.02-0.03	Adjust based on volatility
RMI Buy Threshold	50-60	Higher = stricter
RMI Sell Threshold	45-55	Lower = more tolerant
Stop-Loss	-0.08 ~ -0.12	Adjust based on trading pair characteristics

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X. Important Notes: The Cost of Complexity

10.1 Learning Curve

Hacklemore3 involves multiple technical indicators and dual-mode exit logic:

• RMI (Relative Momentum Index)
• SAR (Parabolic SAR)
• Trend judgment (recent high)
• Dynamic trailing stop mechanism

Understanding each indicator's principles and dual-mode exit trigger conditions is necessary; beginners should first understand each indicator's meaning.

10.2 Hardware Requirements

Number of Pairs	Minimum RAM	Recommended RAM
Under 10 pairs	2GB	4GB
10-30 pairs	4GB	8GB
Over 30 pairs	8GB	16GB

10.3 Backtesting vs. Live Trading Differences

Notes:

• 5-minute level trades frequently; slippage impact is greater in live trading
• Dynamic trailing stop may lag in fast-moving markets
• Fee costs are proportionally higher in short-term strategies
• Recommended to increase fee settings in backtesting

10.4 Manual Trading Suggestions

If you want to manually apply this strategy's logic:

1. Observe whether price has made a recent high
2. Confirm RMI is in the strong zone (>55)
3. Check if SAR is below price
4. After entry, record the highest price; consider exiting on 20% pullback
5. When in loss, check whether trend has reversed, rather than holding desperately

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XI. Summary

Hacklemore3 is a strategy focused on short-term trend following. Its core value lies in:

1. Dual-Mode Exit Mechanism: Dynamic protection when profitable, trend judgment when losing — clear and reasonable logic
2. Strong Short-Term Adaptability: 5-minute timeframe, suitable for capturing short-term trend opportunities
3. Complete Risk Control: Trailing stop + Hard stop-loss + Dynamic stop + ROI tiered, multi-layer protection
4. Multi-Indicator Confirmation: RMI + SAR + Trend judgment, improves signal reliability

For quantitative traders, Hacklemore3 is the short-term version of the Hacklemore series. Compared to Hacklemore2 (15 minutes), it is more suitable for short-term traders but requires attention to trading cost impact. Its dual-mode exit mechanism is a noteworthy design idea — using different exit strategies based on position state, achieving balance between profit protection and risk control.

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