PRICEFOLLOWING2 Strategy In-Depth Analysis

Strategy Number: #334 (334th of 465 strategies)
Strategy Type: Moving Average Crossover Trend Following + Multiple Confirmation Mechanism
Timeframe: 15 minutes (15m)

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I. Strategy Overview

PRICEFOLLOWING2 is an upgraded version of the PRICEFOLLOWING strategy, adopting a longer timeframe (15 minutes) and stricter buy/sell confirmation mechanisms. While retaining the core moving average crossover logic, the strategy adds price-to-Heikin Ashi close price relationship judgment and EMA difference percentage filtering, improving signal reliability.

Core Features

Feature	Description
Buy Condition	2 modes, includes EMA difference percentage filtering by default
Sell Condition	2 modes, includes triple confirmation mechanism by default
Protection Mechanism	Stop loss -10% + trailing stop mechanism
Timeframe	Main timeframe 15m + informative timeframe 15m
Dependencies	talib, qtpylib, numpy, pandas

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II. Strategy Configuration Analysis

2.1 Basic Risk Parameters

# ROI exit table
minimal_roi = {
    "60": 0.025,  # 2.5% profit exit after 60 minutes
    "30": 0.03,   # 3% profit exit after 30 minutes
    "0": 0.04     # 4% profit exit immediately
}

# Stop loss settings
stoploss = -0.1  # Fixed stop loss 10%

# Trailing stop
trailing_stop = True
trailing_only_offset_is_reached = True
trailing_stop_positive = 0.02      # Start trailing after 2% profit
trailing_stop_positive_offset = 0.03  # Trigger point 3%

Design Rationale:

• Time-decaying ROI targets encourage short-term profits
• Trailing stop activates after 3% profit to lock in gains
• Fixed 10% stop loss provides last line of defense

2.2 Order Type Configuration

order_types = {
    'buy': 'limit',           # Limit buy
    'sell': 'limit',          # Limit sell
    'stoploss': 'limit',      # Limit stop loss
    'stoploss_on_exchange': False  # Stop loss not executed on exchange
}

order_time_in_force = {
    'buy': 'gtc',    # Good Till Cancelled
    'sell': 'gtc'
}

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III. Buy Condition Details

3.1 Optimizable Parameters

The strategy provides multiple optimizable parameters supporting Hyperopt hyperparameter optimization:

Parameter Name	Type	Range	Default	Description
rsi_value	Int	1-50	30	RSI buy threshold
rsi_enabled	Boolean	-	False	Whether to enable RSI filter
ema_pct	Decimal	0.0001-0.1	0.004	EMA difference percentage threshold

3.2 Buy Condition Logic

Mode 1: RSI Filter Enabled (rsi_enabled = True)

Condition 1: RSI < rsi_value (default < 30)
Condition 2: EMA7 crosses below TEMA (crossover signal)

Logic Explanation:

• RSI below threshold indicates oversold condition
• EMA7 crossing below TEMA indicates short-term trend may be converting upward

Mode 2: RSI Filter Disabled (rsi_enabled = False, default)

Condition 1: EMA7 crosses below TEMA (crossover signal)
Condition 2: ((last_tema - last_ema7) / last_tema) < ema_pct (default 0.004)

Logic Explanation:

• EMA7 and TEMA difference relative to TEMA ratio is below threshold
• This requires two moving averages to be close enough, reducing false breakouts

3.3 Differences from PRICEFOLLOWING

Comparison Item	PRICEFOLLOWING	PRICEFOLLOWING2
Timeframe	5 minutes	15 minutes
Buy Condition (RSI off)	EMA crossover + TEMA decline	EMA crossover + EMA difference percentage
Sell Condition (RSI off)	EMA crossover only	EMA crossover + price confirmation + percentage

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IV. Sell Logic Details

4.1 Optimizable Parameters

Parameter Name	Type	Range	Default	Description
sell_rsi_value	Int	25-100	70	RSI sell threshold
sell_rsi_enabled	Boolean	-	True	Whether to enable RSI sell filter
ema_sell_pct	Decimal	0.0001-0.1	0.003	EMA difference sell threshold

4.2 Sell Condition Logic

Mode 1: RSI Sell Filter Enabled (sell_rsi_enabled = True, default)

Condition 1: RSI < sell_rsi_value (default < 70)
Condition 2: EMA7 crosses above TEMA

Logic Explanation:

• RSI condition ensures selling when price is not overheated
• EMA7 crossing above TEMA indicates short-term momentum weakening

Mode 2: RSI Sell Filter Disabled (sell_rsi_enabled = False)

Condition 1: EMA7 crosses above TEMA
Condition 2: best_bid < ha_close (best bid below Heikin Ashi close price)
Condition 3: ((last_tema - last_ema7) / last_ema7) < ema_sell_pct

Logic Explanation:

• All three conditions must be met simultaneously, forming strict sell confirmation
• best_bid < ha_close indicates current price is below smoothed price
• EMA difference percentage ensures trend has confirmed reversal

4.3 Sell Signal Comparison

Strategy	Number of Conditions	Confirmation Mechanism
PRICEFOLLOWING	1	EMA crossover only
PRICEFOLLOWING2	3	EMA crossover + price confirmation + percentage

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V. Technical Indicator System

5.1 Core Indicators

Indicator Category	Specific Indicators	Purpose
Moving Averages	EMA7, EMA24, TEMA(7)	Trend judgment, crossover signals
Momentum	RSI, ADX	Overbought/oversold judgment, trend strength
Trend	MACD, SAR	Trend confirmation, stop loss reference
Candlestick	Heikin Ashi	Smooth price fluctuation, price confirmation
Cycle	Hilbert Transform (Sine)	Cycle identification

5.2 Informative Timeframe Indicators (15m)

The strategy uses 15 minutes as the information layer, providing higher-level trend judgment:

• ETH/USDT 15m: Ethereum trend reference
• BTC/USDT 15m: Bitcoin trend reference
• RVN/USDT 15m: Altcoin market sentiment reference

5.3 Indicator Calculation Code

# Core indicator calculation
dataframe['ema7'] = ta.EMA(dataframe, timeperiod=7)
dataframe['ema24'] = ta.EMA(dataframe, timeperiod=24)
dataframe['tema'] = ta.TEMA(dataframe, timeperiod=7)
dataframe['rsi'] = ta.RSI(dataframe)
dataframe['adx'] = ta.ADX(dataframe)
dataframe['sar'] = ta.SAR(dataframe)

# MACD
macd = ta.MACD(dataframe)
dataframe['macd'] = macd['macd']
dataframe['macdsignal'] = macd['macdsignal']
dataframe['macdhist'] = macd['macdhist']

# Heikin Ashi
heikinashi = qtpylib.heikinashi(dataframe)
dataframe['ha_open'] = heikinashi['open']
dataframe['ha_close'] = heikinashi['close']

# Hilbert Transform
hilbert = ta.HT_SINE(dataframe)
dataframe['htsine'] = hilbert['sine']
dataframe['htleadsine'] = hilbert['leadsine']

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VI. Risk Management Features

6.1 Tiered Take Profit System

The strategy adopts a tiered take profit mechanism, combining ROI table and trailing stop:

Holding Time    Target Return    Trigger Condition
─────────────────────────────────────────────────────
0 minutes       4%               Effective immediately
30 minutes      3%               Time decay
60 minutes      2.5%             Further decay
Profit 3%       Trailing stop activates   Lock in profits

6.2 Trailing Stop Mechanism

trailing_stop = True                    # Enable trailing stop
trailing_only_offset_is_reached = True  # Only activate after offset reached
trailing_stop_positive = 0.02           # Trail distance 2%
trailing_stop_positive_offset = 0.03   # Trigger point 3%

How It Works:

• After profit reaches 3%, trailing stop begins working
• Stop line follows highest price upward at 2% distance
• When price retraces more than 2%, triggers stop loss sell

6.3 Multiple Confirmation Mechanism

PRICEFOLLOWING2's sell signal is stricter than PRICEFOLLOWING:

# Default sell requires three conditions simultaneously
conditions.append(qtpylib.crossed_above(dataframe['ema7'], dataframe['tema']))
conditions.append(dataframe['best_bid'] < haclose)
conditions.append(((last_tema - last_ema7) / last_ema7) < self.ema_sell_pct.value)

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VII. Strategy Advantages and Limitations

✅ Advantages

1. More Reliable Signals: Multiple confirmation mechanism reduces false signals
2. Longer Timeframe: 15-minute frame filters short-term noise
3. Price Confirmation: Heikin Ashi close price provides additional confirmation
4. Optimizable Parameters: Supports Hyperopt hyperparameter optimization

⚠️ Limitations

1. Fewer Entry Opportunities: Multiple confirmations lead to lower signal frequency
2. More Pronounced Lag: 15-minute frame reacts more slowly
3. Single Direction: Long only, cannot profit from shorts
4. Information Layer Underutilized: Defined but not used in strategy logic

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VIII. Applicable Scenario Recommendations

Market Environment	Recommended Configuration	Description
Trending Up	Default configuration (sell_rsi_enabled=True)	Multiple confirmation reduces false breakouts
Oscillating Market	sell_rsi_enabled=False	Strict sell conditions reduce frequent trading
Rapid Fluctuation	Not recommended	Signal lag may miss opportunities
Slow Bull Market	Default configuration	Trailing stop can capture trend

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IX. Applicable Market Environment Details

PRICEFOLLOWING2 is a medium-complexity trend-following strategy, more conservative than PRICEFOLLOWING. Based on its code architecture and logic design, it is best suited for stable trending markets, while performing poorly in rapid fluctuation.

9.1 Strategy Core Logic

• Timeframe Upgrade: 15-minute frame is more stable than 5-minute, filters short-term noise
• Multiple Confirmation: Selling requires three conditions, more reliable than single condition
• Price Reference: Heikin Ashi close price provides smoothed price reference

9.2 Performance in Different Market Environments

Market Type	Performance Rating	Analysis
📈 Trending Up	⭐⭐⭐⭐⭐	Multiple confirmation ensures capturing trend, trailing stop locks in profits
🔄 Oscillating Sideways	⭐⭐⭐☆☆	Low signal frequency reduces fee losses
📉 Trending Down	⭐⭐☆☆☆	Long only, no opportunities in downtrend
⚡ Violent Volatility	⭐⭐☆☆☆	Signal lag may miss rapid opportunities

9.3 Key Configuration Recommendations

Configuration Item	Recommended Value	Description
rsi_enabled	False	Off by default, use percentage filter
sell_rsi_enabled	True	RSI sell filter on is more robust
ema_pct	0.003-0.005	Adjust based on pair volatility
stoploss	-0.08 ~ -0.12	Adjust based on risk preference

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X. Important Reminder: The Cost of Complexity

10.1 Learning Cost

Strategy logic is slightly more complex than PRICEFOLLOWING, requiring understanding of:

• EMA difference percentage calculation and meaning
• Heikin Ashi smoothing principle
• Multiple confirmation mechanism synergy

10.2 Hardware Requirements

Number of Trading Pairs	Minimum Memory	Recommended Memory
1-10 pairs	2GB	4GB
10-50 pairs	4GB	8GB
50+ pairs	8GB	16GB

10.3 Backtest vs Live Trading Differences

• Multiple confirmations may perform well in backtests but may miss optimal entry points in live trading due to delays
• 15-minute frame has fewer signals, requiring longer time to verify effectiveness
• Order book data (best_bid) may be incomplete in backtests

10.4 Manual Trader Recommendations

If you want to manually trade similar logic:

1. Use EMA7 and TEMA(7) as main signals
2. Calculate EMA difference percentage to confirm signal strength
3. Reference Heikin Ashi close price to judge price position
4. Set fixed stop loss 8-10%
5. Enable trailing stop after 3% profit

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XI. Summary

PRICEFOLLOWING2 is a conservative upgraded version of PRICEFOLLOWING. Its core value lies in:

1. More Reliable Signals: Multiple confirmation mechanism reduces false signals, improves win rate
2. More Stable Frame: 15-minute timeframe filters short-term noise
3. More Complete Risk Control: Trailing stop + multiple confirmation dual protection
4. Suitable for Trends: Can effectively capture trend profits in clear trending markets

For quantitative traders, this is a more robust choice than PRICEFOLLOWING. Although signal frequency is lower, quality is higher. Suitable for traders who prefer fewer but more reliable trades over frequent trading. In stable trending markets, this strategy can effectively capture trend profits; in oscillating markets, due to low signal frequency, fee losses are relatively smaller.

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