
03/09/2025
$SUI PA-MACD Divergence Contrarian Strategy
CorrAI (AI量化賺錢&回測平台)
https://corr.ai/ #/signup?ref=H4A9PD
邀請碼: H4A9PD
CorrAI試用Demo:
財商思維系列第8.2集(SUI StochRSI MACD策略)
https://youtu.be/tYxa4uG1rBg
Introduction to Technical Analyisis series:
https://youtube.com/playlist?list=PLNmY967Ker8UlMvftS27oc9HROZEZVIjE
hypothesis: A divergence occurs when there is a discrepancy between the directions of price and MACD (or any momentum indicator or oscillator) means that the momentum underlying the price trend is changing, which may foreshadow a potential trend reversal
Entry rules: 1h SUI close min_30(MACDhist), indicating a Lower Low (LL) in price series but a Higher Low (HL) in MACD histogram (bulliish bottom divergence)
Exit rules: 1h SUI close >= max_30(1h SUI close) and MACDhist < max_30(MACDhist), indicating a Higher High (HH) in price series but a Lower High (LH) in MACD histogram (bearish top divergence)
AlphaX Predict2Win: SUI Season
https://alpha-x.ai?invitationCode=xl0G3gDg
邀請碼: xl0G3gDg
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Introduction to AlphaX & Predict2Win: SUI Season: https://www.instagram.com/p/DMRmQJNvhfF
CAGR: 252.66%
Win Rate: 62.50%
Profit Factor: 1.51
MDD: -55.89%
Sharpe Ratio: 1.92
Sortino Ratio: 1.97
Calmar Ratio: 4.52
PnL distribution is left skewed:
mean return: 1.78%
median return: 2.61%
KDE prominent point~3.34-3.62%
Ulcer Index: 0.2685
UPI: 9.41
Omega Ratio: 1.09
Expectancy: 312.66
SQN: 2.52
Kelly criterion: 0.21 which means we may allocate 21% of our capital using this strategy
賺錢大全(links to earn summary)google doc5.0: https://pse.is/6nyadt
毒撚【香港VTuber】 YouTube channel: https://www.youtube.com/
毒撚賺錢台Weebearn instagram: https://www.instagram.com/weebearn_vtuber29/
舊頻道: https://www.youtube.com/
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CORR-GPT demo:
【聯動讀撚】《TradingAgents: Multi-Agents LLM Financial Trading Framework》 feat.コリシ| 毒撚賺錢讀書會ep.9
https://www.youtube.com/live/3A4Mt6-qTxQ
Prompt: '📈 Chart Analysis Request.'
CorrGPT output:
'📊 **Chart Analysis Report**
To provide a comprehensive analysis of the quantitative trading chart and offer specific trading suggestions and strategy optimization plans, we will examine the factors and their visual representations in the chart. The factors involved are the closing price, MACD histogram maximum and minimum over a 30-period, and their respective indicators.
# # # Analysis of Chart Visualization Features:
1. **Trend Analysis**:
- The chart displays three lines: Backtest 1, Backtest 2, and Buy & Hold Returns. All lines show a general upward trend from September 2024 to September 2025, indicating a positive performance over the period.
- There are noticeable fluctuations, with peaks around January 2025 and May 2025, followed by corrections.
2. **Crossover Points**:
- The Backtest 1 and Backtest 2 lines frequently cross each other, suggesting different strategies or parameter settings that react differently to market conditions.
- The Buy & Hold Returns line serves as a benchmark, showing less volatility compared to the backtest lines.
3. **Volatility and Momentum**:
- The MACD histogram indicators (max30 and min30) are used to gauge momentum. The presence of these indicators suggests that the strategy is sensitive to momentum shifts, which is evident in the sharp rises and falls in the backtest lines.
# # # Hypotheses Based on Factor Properties:
1. **Momentum Continuity**:
- The MACD histogram is a momentum indicator. The strategy likely capitalizes on momentum shifts, entering positions when the histogram shows strong positive or negative values.
2. **Threshold Ranges**:
- The use of MINMAX suggests that the strategy might employ threshold-based decision-making, entering or exiting trades when certain levels are breached.
# # # Core Feature Extraction and Deduction Chains:
1. **Momentum-Based Entry/Exit**:
- The strategy likely enters trades when the MACD histogram crosses certain thresholds, indicating strong momentum. This is supported by the sharp upward movements in the backtest lines.
2. **Volatility Management**:
- The frequent crossovers between Backtest 1 and Backtest 2 suggest different volatility management approaches. One strategy might be more aggressive, while the other is conservative, reacting differently to market volatility.
3. **Performance Comparison**:
- The Buy & Hold Returns line provides a baseline. The backtest strategies outperform this line, indicating that the strategies are adding value through active management.
# # # Systematic Recommendations:
1. **Trading Signal Identification**:
- **Buy Signal**: Enter long positions when the MACD histogram shows a strong upward momentum, confirmed by a crossover above the zero line.
- **Sell Signal**: Exit or short positions when the MACD histogram shows a strong downward momentum, confirmed by a crossover below the zero line.
2. **Strategy Optimization**:
- **Parameter Tuning**: Adjust the MACD parameters (fast, slow, and signal periods) to optimize sensitivity to market conditions.
- **Risk Management**: Implement stop-loss and take-profit levels based on historical volatility to protect against adverse movements.
3. **Performance Monitoring**:
- Continuously compare the backtest results with the Buy & Hold Returns to ensure the strategy remains effective. Adjust strategies if the performance starts to lag behind the benchmark.
By leveraging the insights from the chart and factor properties, these recommendations aim to enhance trading performance through momentum-based strategies and effective risk management.'
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