ichiV1 Strategy Analysis

Strategy Number: #27 (27th of 465 strategies)
Strategy Type: Ichimoku Cloud + Multi-Timeframe Trend Following
Timeframe: 5 minutes (5m)

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I. Strategy Overview

ichiV1 is a multi-timeframe trend following strategy based on Ichimoku Cloud. Key features include using multiple timeframe EMAs to confirm trend strength (Fan), combined with Ichimoku Cloud to filter trends.

Core Features

Feature	Description
Entry Conditions	Multi-condition combination (Cloud + Multi-timeframe trend + Fan)
Exit Conditions	1 condition: Trend crossover
Protection	Hard stoploss + Trailing stop
Timeframe	5 minutes
Dependencies	TA-Lib, technical, pandas, numpy
Special Features	Multi-timeframe trend confirmation, Fan

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II. Strategy Configuration Analysis

2.1 Base Risk Parameters

# ROI exit table
minimal_roi = {
    "0": 0.059,     # Immediate exit: 5.9% profit
    "10": 0.037,    # After 10 minutes: 3.7% profit
    "41": 0.012,    # After 41 minutes: 1.2% profit
    "114": 0,       # After 114 minutes: exit at breakeven
}

# Stoploss setting
stoploss = -0.275  # -27.5% hard stoploss

# Trailing stop
trailing_stop = True

Design Logic:

• Multi-Level ROI: 4-level decreasing ROI, longer holding time means lower exit threshold
• Loose Stoploss: -27.5% hard stoploss, giving ample room for fluctuation
• Trailing Stop: Enabled but no specific parameters configured

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III. Entry Conditions Explained

3.1 Entry Logic

Trend Above Cloud (8 Levels)

# Levels 1-8, from 5m to 8h
if buy_trend_above_senkou_level >= 1:
    conditions.append(trend_close_5m > senkou_a)
    conditions.append(trend_close_5m > senkou_b)
if buy_trend_above_senkou_level >= 2:
    conditions.append(trend_close_15m > senkou_a)
    conditions.append(trend_close_15m > senkou_b)
# ... until 8h

Trend Bullish (8 Levels)

# Levels 1-8, from 5m to 8h
if buy_trend_bullish_level >= 1:
    conditions.append(trend_close_5m > trend_open_5m)
if buy_trend_bullish_level >= 2:
    conditions.append(trend_close_15m > trend_open_15m)
# ... until 8h

Fan Confirmation

# Fan magnitude gain
conditions.append(fan_magnitude_gain >= buy_min_fan_magnitude_gain)
conditions.append(fan_magnitude > 1)

# Fan magnitude continuously rising
for x in range(buy_fan_magnitude_shift_value):
    conditions.append(fan_magnitude.shift(x+1) < fan_magnitude)

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IV. Exit Logic Explained

4.1 Exit Conditions

# Exit conditions
dataframe.loc[
    (
        qtpylib.crossed_below(dataframe['trend_close_5m'], dataframe[sell_trend_indicator])
    ),
    'sell',
] = 1

Logic Analysis:

• Trend Crossover: 5m trend crosses below sell trend indicator (default 2h)
• Default Sell Indicator: trend_close_2h

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V. Technical Indicator System

5.1 Core Indicators

Indicator Category	Specific Indicator	Parameters	Purpose
Candles	Heikin Ashi	-	Smooth candles
Trend	EMA	3/6/12/24/48/72/96	Multi-timeframe trend
Trend	Ichimoku Cloud	20/60/120	Cloud filtering
Fan	Fan Magnitude	1h/8h	Trend strength

5.2 Multi-Timeframe Trend

Timeframe	EMA Period	Purpose
5m	-	Base trend
15m	3	Short-term trend
30m	6	Medium short-term trend
1h	12	Medium-term trend
2h	24	Medium long-term trend
4h	48	Long-term trend
6h	72	Longer trend
8h	96	Longest trend

5.3 Fan

fan_magnitude = trend_close_1h / trend_close_8h
fan_magnitude_gain = fan_magnitude / fan_magnitude.shift(1)

Purpose:

• Measure gap between 1h and 8h trends
• fan_magnitude > 1: Uptrend
• fan_magnitude_gain > 1: Trend strengthening

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VI. Risk Management Features

6.1 Loose Hard Stoploss

stoploss = -0.275  # -27.5%

Description: Loose stoploss, giving ample room for fluctuation.

6.2 Trailing Stop

trailing_stop = True

Purpose: Enable trailing stop to protect profits.

6.3 Multi-Layer Trend Filtering

# 8-level trend confirmation
if buy_trend_above_senkou_level >= 8:
    # From 5m to 8h all above cloud

Purpose:

• Multi-layer trend confirmation, reduces false signals
• Only trade in strong trends

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VII. Strategy Pros & Cons

✅ Advantages

1. Multi-Timeframe: 8 timeframes confirm trend
2. Ichimoku Cloud: Cloud filters trends
3. Fan: Measures trend strength
4. Heikin Ashi: Smooth candles reduce noise
5. Hyperopt Optimization: Supports Hyperopt for key parameters
6. Loose Stoploss: -27.5% stoploss, giving ample room

⚠️ Limitations

1. Extremely High Complexity: Multi-timeframe + Ichimoku Cloud, difficult to debug
2. No BTC Correlation: Does not detect Bitcoin market trend
3. Parameter Sensitive: Hyperopt results may overfit
4. High Computation: Multi EMA + Ichimoku Cloud increases computation
5. Loose Stoploss: -27.5% stoploss may cause significant losses in extreme conditions

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VIII. Applicable Scenarios

Market Environment	Recommended Configuration	Description
Uptrend	Highly recommended	Multi-timeframe + cloud filtering, perfect match
Ranging Market	Not recommended	Trend strategy has many false signals in ranging
Downtrend	Pause	Multi-layer trend filtering blocks most trades
High Volatility	Adjust parameters	May need to adjust stoploss threshold
Low Volatility	Adjust ROI	Lower ROI threshold for small moves

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IX. Summary

ichiV1 is a well-designed advanced trend following strategy, its core value lies in:

1. Multi-Timeframe: 8 timeframes confirm trend
2. Ichimoku Cloud: Cloud filters trends
3. Fan: Measures trend strength
4. Heikin Ashi: Smooth candles reduce noise
5. Hyperopt Optimization: Supports Hyperopt for key parameters
6. Loose Stoploss: -27.5% stoploss, giving ample room

For quantitative traders, this is an excellent multi-timeframe learning template. Recommendations:

• Use as an advanced case for learning multi-timeframe strategies
• Understand Ichimoku Cloud usage
• Learn Fan application
• Note that hyperopt parameters may overfit, testthoroughly before live trading

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