Obelisk_Ichimoku_ZEMA_v1 Strategy Analysis

Table of Contents

1. Strategy Overview
2. Theoretical Foundations
3. Indicator System
4. Signal Generation Logic
5. Risk Management Mechanisms
6. Parameter Configuration
7. Timeframe Design
8. Data Projection and Displacement
9. Trend Judgment System
10. Backtesting and Optimization
11. Strategy Assessment

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1. Strategy Overview

1.1 Strategy Positioning

Obelisk_Ichimoku_ZEMA_v1 is an experimental (EXPERIMENTAL-tagged) crypto trading strategy by Obelisk. Its core design combines the classic Ichimoku Cloud with Zero Lag EMA (ZEMA) to build a trend-following system that captures mid-to-long-term trends and precisely times entries.

1.2 Core Features

• Multi-dimensional trend confirmation: Ichimoku Cloud (5 components) + SSL ATR → layered trend verification
• Dynamic entry optimization: ZEMA's zero-lag property enables early trend capture
• Smart exit mechanism: confirm_trade_exit overrides ROI exits during uptrends
• High optimizability: Four hyperparameters tunable via Freqtrade

1.3 Applicable Scenarios

Best for: clearly trending markets, high-liquidity mainstream pairs, medium-to-long-term positions.

⚠️ Warning: Marked "EXPERIMENTAL" — not fully validated in live trading.

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2. Theoretical Foundations

2.1 Ichimoku Cloud Theory

Five components: Conversion Line (20), Base Line (60), Leading Span A, Leading Span B, Lagging Span (120). Displacement 30.

Custom parameters (vs. standard 9-26-52): More conservative, more stable signals.

2.2 Zero Lag EMA Theory

ZEMA removes inherent EMA lag through error compensation. Buy ZEMA (72 default) slower than sell ZEMA (51 default) — entering requires more confirmation; exiting is more responsive.

2.3 SSL ATR Theory

ATR-based channel: upper = low.avg + ATR, lower = high.avg - ATR. Auto-adapts to volatility — wider in volatile markets, narrower in calm.

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3. Indicator System

3.1 Ichimoku Parameters (Custom)

Component	Period	Displacement
Conversion	20	0
Base	60	0
Lagging Span	120	30

3.2 SSL ATR (Default Period 10)

def ssl_atr(dataframe, length=7):
    smaHigh = high.rolling(length).mean() + ATR
    smaLow = low.rolling(length).mean() - ATR
    # price above/below channels determine hlv state
    # sslUp and sslDown swap based on hlv

3.3 ZEMA

Two ZEMA lines:

• zema_buy: multiplied by low_offset → entry trigger threshold
• zema_sell: multiplied by high_offset → exit trigger threshold

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4. Signal Generation Logic

4.1 Buy Signal Conditions

Three simultaneous requirements:

Condition 1: ichimoku_valid > 0: All Ichimoku data computed (120+ candles).

Condition 2: bear_trending == 0: NOT in bearish state. Bearish defined as:

• Conversion < Base AND
• Close < Cloud Bottom AND
• Future cloud red AND
• Lagging Span below cloud bottom

Condition 3: close < zema_buy × low_offset: Price must be below ZEMA × offset (default ~1.004 → requires slightly lower price).

4.2 Sell Signal

close > zema_sell × high_offset  # default: × 0.964

When price exceeds sell ZEMA threshold → sell.

4.3 Smart Exit Confirmation

def confirm_trade_exit(...):
    if sell_reason == 'roi':
        if current_candle['trending'] > 0:
            return False  # Reject ROI exit, stay in uptrend
    return True

When the reason is ROI, check if still in an uptrend (trending > 0). If yes, refuse to exit — continue holding to capture more gains. Classic "let profits run."

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5. Risk Management Mechanisms

5.1 ROI Configuration

Minutes	ROI
0	7.8%
40	6.2%
99	3.9%
218	0%

Time-decaying profit expectations — if not rising fast, gradually lower targets.

5.2 Stop-Loss: -29.4%

Very wide stop. Aligns with "only exit when trend ends" philosophy — give positions room to breathe.

5.3 Startup Requirements

startup_candle_count = 500: Needs 500 historical candles before producing valid signals.

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6. Parameter Configuration

6.1 Optimizable Parameters

Parameter	Default	Range	Space
low_offset	1.004	0.80-1.20	buy
zema_len_buy	72	30-90	buy
high_offset	0.964	0.80-1.20	sell
zema_len_sell	51	30-90	sell

⚠️ Note: The defaults appear swapped relative to parameter names (low_offset=1.004 vs. high_offset=0.964), suggesting the offset logic may be inverted from naming convention.

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7. Timeframe Design

7.1 Dual Timeframe

• Main: 5m — actual trade execution
• Informative: 1h — trend judgment

7.2 Assertion

assert timeframe == '5m'  # Strategy locked to 5-minute chart

Strategy enforces 5m timeframe only.

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8. Data Projection and Displacement

8.1 "Future" Cloud

future_green and future_red use the current-computed Leading Spans (which are inherently forward-projected) — not actual future data. The naming clarifies this is the "present-computed future cloud."

8.2 Lagging Span Handling

Lagging Span is normally plotted 30 periods behind. The strategy shifts it forward by displacement to align with current prices: chikou_high = chikou_span.shift(displacement).

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9. Trend Judgment System

9.1 Multi-Layer Trend Signals

Multiple independent trend channels:

• Bull: trend_pulse → trending → trend_over
• Bear: bear_trend_pulse → bear_trending → bear_trend_over

9.2 Trend State Forward Fill

dataframe['trending'].fillna(method='ffill', inplace=True)

Once set to 3, stays 3 until trend_over resets to 0. State persists across candles.

9.3 Multi/Bear Symmetry

Bull and bear systems operate independently — when bull ends, bear can begin.

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10. Backtesting and Optimization

10.1 Startup Data Requirement

Need ≥500 5m candles (~41.6 hours). Insufficient data = unreliable first-week signals.

10.2 Hyperopt Recommendations

freqtrade hyperopt --hyperopt-loss SharpeHyperOptLoss --epochs 500 --spaces buy sell

10.3 Parameter Guidance by Market

Condition	low_offset	high_offset	zema_len_buy	zema_len_sell
High volatility	0.95-0.98	1.02-1.05	40-60	40-60
Low volatility	0.98-1.02	1.00-1.03	60-80	50-70
Clear trend	1.00-1.05	0.98-1.02	70-90	40-60

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11. Strategy Assessment

11.1 Strengths

• Solid theoretical foundation (Ichimoku is decades-tested)
• Multi-indicator synergy (Ichimoku + SSL + ZEMA)
• Strong trend capture ability
• Smart exit mechanism (overrides ROI in uptrends)
• Highly optimizable

11.2 Risks

• ⚠️ EXPERIMENTAL: Unvalidated in live trading
• Stop-loss very wide (-29.4%)
• Lagging Span/Leading Span "future" concept may confuse beginners
• Requires extensive startup data (500 candles)
• Must run on 5m timeframe only

11.3 Best For

• Trend-following believers
• Technical analysis researchers
• Quant developers seeking strategy templates
• Higher risk tolerance traders

11.4 Not For

• Beginners seeking plug-and-play
• Low risk tolerance
• Those wanting multi-timeframe flexibility

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Document Version: v1.0 Strategy: Obelisk_Ichimoku_ZEMA_v1 Last Updated: 2024