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ichiV1 Strategy Analysis

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

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​

FeatureDescription
Entry ConditionsMulti-condition combination (Cloud + Multi-timeframe trend + Fan)
Exit Conditions1 condition: Trend crossover
ProtectionHard stoploss + Trailing stop
Timeframe5 minutes
DependenciesTA-Lib, technical, pandas, numpy
Special FeaturesMulti-timeframe trend confirmation, Fan

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

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)

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

V. Technical Indicator System​

5.1 Core Indicators​

Indicator CategorySpecific IndicatorParametersPurpose
CandlesHeikin Ashi-Smooth candles
TrendEMA3/6/12/24/48/72/96Multi-timeframe trend
TrendIchimoku Cloud20/60/120Cloud filtering
FanFan Magnitude1h/8hTrend strength

5.2 Multi-Timeframe Trend​

TimeframeEMA PeriodPurpose
5m-Base trend
15m3Short-term trend
30m6Medium short-term trend
1h12Medium-term trend
2h24Medium long-term trend
4h48Long-term trend
6h72Longer trend
8h96Longest 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

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

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

VIII. Applicable Scenarios​

Market EnvironmentRecommended ConfigurationDescription
UptrendHighly recommendedMulti-timeframe + cloud filtering, perfect match
Ranging MarketNot recommendedTrend strategy has many false signals in ranging
DowntrendPauseMulti-layer trend filtering blocks most trades
High VolatilityAdjust parametersMay need to adjust stoploss threshold
Low VolatilityAdjust ROILower ROI threshold for small moves

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