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Sunflower Quant - ETH 15min Strategy
🟠 Sunflower Quant - ETH 15min Strategy
Strategy Overview
The " Sunflower Quant - ETH 15min Strategy" is a sophisticated automated trading system specifically designed for ETH/USDT on 15-minute timeframes. This advanced algorithm integrates over 20 technical indicators and price action patterns to deliver intelligent entry decisions and comprehensive risk management.
Core Value Proposition
Multi-Timeframe Integration: Combines 1-hour and 4-hour higher timeframe data for signal validation
Dynamic Market Regime Detection: Real-time identification of Low Volatility, Ranging, and High Volatility market environments
Comprehensive Scoring System: Three-dimensional evaluation model based on Breakout Signals, Pattern Recognition, and Position Analysis
Adaptive Position Sizing: Dynamic allocation based on signal strength and market volatility
🟠 Core Architecture
Three-Layer Analytical Framework
1. Market Regime Detection System
Real-time market environment assessment through four dimensions:
ATR Relative Volatility
Bollinger Band Width
Average Amplitude
Momentum Strength
Market State Classification:
Low Volatility (≤30 points): Narrow ranges, awaiting breakout
Ranging Market (31-65 points): Moderate volatility, suitable for range trading
High Volatility (>65 points): Strong trends, ideal for trend following
2. Signal Generation Engine
Breakout Signal Layer:
Donchian Channel Breakouts (Upper/Middle/Lower)
Keltner Channel Breakouts (Upper/Middle/Lower)
Double ATR Momentum Confirmation
Pattern Recognition Layer:
Price Action: Outside Bars, Engulfing Patterns, False Breakouts
Candlestick Patterns: Hammer, Inverted Hammer, Doji, Dragonfly, Gravestone
Three Soldiers Method: Single-bar and Three-bar consecutive patterns
Position Analysis Layer:
Ichimoku Cloud Position (Above/Within/Below)
ADX Trend Strength Confirmation
DC/KC Middle Band Position Analysis
3. Volume & POC Analysis
Volume Confirmation:
High Volume Breakout Validation
Medium Volume Support Confirmation
Point of Control (POC) Value Areas:
Volume-based dense trading zone identification
POC Cluster Scoring System (Size Score + Volume Score + Time Score)
🟠 Trading Logic Specification
Entry Signal Classification
A-Class Signals (Strong Breakout)
Trigger: VP breaking key POC levels + strong pattern confirmation
Characteristics: High confidence, larger position sizing
Stop Loss: Wider stops based on historical ATR volatility
B-Class Signals (Pattern Confirmed)
Trigger: Clear price patterns + volume confirmation
Characteristics: Medium confidence, standard position sizing
Stop Loss: Based on pattern lows/highs
C-Class Signals (Weak Reversal)
Trigger: Single indicator signals + positional support
Characteristics: Lower confidence, small exploratory positions
Stop Loss: Tight stops for quick exits
Scoring Weight Distribution
text
Base Score = Breakout(30%) + Patterns(40%) + Position(30%)
Final Score = Base Score × Market Regime Coefficient × Cloud Position Coefficient
🟠 Risk Management System
Dynamic Stop Loss Strategy
Initial Stop Loss: ATR-based volatility + market regime adjustment
Trailing Stop: Phased tracking, progressively locking profits
Position Management
text
Base Position = Initial Capital × Base Coefficient / Stop Distance
Final Position = Base Position × Signal Strength Coefficient × Market Volatility Coefficient
Take Profit System
Scaled Profit Taking: 8 profit levels with proportional position distribution
Dynamic Adjustment: Trailing stop activation upon reaching specific profit tiers
🟠 Configuration Parameters
Market Regime Thresholds
pinescript
Low Volatility: ≤30 points
Ranging Market: 31-65 points
High Volatility: >65 points
Signal Strength Thresholds
pinescript
// Current Entry Thresholds (No Position)
Low Volatility: Long 82 / Short 82
Ranging: Long 75 / Short 80
High Volatility: Long 80 / Short 85
// Reversal Entry Thresholds
Low Volatility: Long 75 / Short 90
Ranging: Long 85 / Short 90
High Volatility: Long 90 / Short 100
🟠 Usage Guide
1. Initial Setup
Apply to ETH/USDT 15-minute chart
Configure webhook Signal ID and UID
Adjust initial capital parameters according to account size
2. Key Monitoring Elements
Market Regime Indicator: Watch background color changes
Signal Score Display: Monitor real-time long/short scores
POC Value Areas: Identify key support/resistance levels
3. Trading Decision Process
Trend Confirmation Phase:
text
1. Observe market regime background
2. Confirm Ichimoku cloud position
3. Check ADX trend strength
Entry Signal Screening:
text
1. Comprehensive score > corresponding threshold
2. Multiple indicator signal confluence
3. Volume confirmation alignment
Risk Management Execution:
text
1. Automatic position size calculation
2. Set scaled take profit and stop loss
3. Monitor trailing stop updates
4. Advanced Features
Lookback Mode: Historical signal validation
Special Close: Early exit based on ATR ratio
Signal Filtering: Optimize signal quality through component weight adjustment
This systematic multi-factor scoring strategy delivers stable automated trading decisions in complex market environments, particularly well-suited for the short-term volatility characteristics of cryptocurrencies like Ethereum.
Strategy Name: Sunflower Quantitative Strategy
Symbol: ETH/USDT
Timeframe: 15-minute
Market: Cryptocurrency
Strategy Type: Multi-timeframe Quantitative Analysis
Risk Level: Medium-High
Recommended Capital: $10,000+ for optimal position sizing
"向日葵量化"是一款专为ETH 15分钟图表设计的全自动量化交易策略。该策略通过多维度技术分析框架，集成超过20种技术指标与价格行为模式，实现智能化的入场决策与风险控制。
核心价值
多时间框架协同：整合1小时、4小时高周期数据，确保信号质量
动态市场状态识别：实时识别低波动、震荡、高波动三种市场环境
综合评分系统：基于突破信号、形态识别、位置分析的三维评分模型
智能仓位管理：根据信号强度与市场波动率动态调整仓位规模
🟠【核心架构】
策略基于三层分析框架构建：
1. 市场状态识别系统
通过ATR相对波动率、布林带宽、平均振幅、动量强度四个维度，实时判断当前市场环境：
低波动市场（≤30分）：窄幅震荡，等待突破
震荡市场（31-65分）：中等波动，适合区间交易
高波动市场（＞65分）：趋势明确，适合趋势跟踪
2. 信号生成引擎
突破信号层：
DC通道突破（上轨/中轨/下轨）
KC通道突破（上轨/中轨/下轨）
双ATR动量确认
形态识别层：
价格行为模式：外包线、吞没形态、假突破
K线形态：锤子线、倒锤子线、十字星、蜻蜓线、墓碑线
三兵三法：单根强度与三根连续形态
位置分析层：
云图位置关系（之上/之中/之下）
ADX趋势强度确认
DC/KC中轨位置判断
3. 成交量与POC分析
成交量确认：
高成交量突破确认
中等成交量支撑确认
POC价值区域：
基于成交量分布的密集成交区识别
POC集群评分系统（规模分+成交量分+时间分）
🟠【交易逻辑详解】
入场信号分类
A类信号（强势突破）
触发条件：VP突破POC关键位 + 强势形态确认
特征：高置信度，大仓位配置
止损设置：相对宽松，基于ATR历史波动率
B类信号（形态确认）
触发条件：明确价格形态 + 成交量确认
特征：中等置信度，标准仓位
止损设置：基于形态低点/高点
C类信号（弱势反弹）
触发条件：单一指标信号 + 位置支撑
特征：低置信度，小仓位试探
止损设置：紧凑止损，快速离场
评分权重分配
text
基础分 = 突破分(30%) + 形态分(40%) + 位置分(30%)
最终分 = 基础分 × 市场状态系数 × 云图位置系数
🟠【风险管理系统】
动态止损策略
初始止损：基于ATR波动率 + 市场状态调整系数
移动止损：分阶段跟踪，逐级锁定利润
仓位管理
text
基础仓位 = 初始资金 × 基础系数 / 止损距离
最终仓位 = 基础仓位 × 信号强度系数 × 市场波动系数
止盈系统
分级止盈：8个止盈级别，按仓位比例分配
动态调整：达到特定止盈级别后启动移动止损
🟠【配置参数】
市场状态阈值
pinescript
低波动区间：≤30分
震荡区间：31-65分
高波动区间：＞65分
信号强度阈值
pinescript
// 当前开仓阈值（无持仓）
低波动：做多82分 / 做空82分
震荡：做多75分 / 做空80分
高波动：做多80分 / 做空85分
// 反转开仓阈值
低波动：做多75分 / 做空90分
震荡：做多85分 / 做空90分
高波动：做多90分 / 做空100分
🟠【使用指南】
1. 初始设置
添加到ETH/USDT 15分钟图表
配置webhook信号ID和UID
根据资金量调整初始资本参数
2. 监控要点
市场状态指示器：关注背景颜色变化
信号评分显示：实时查看多头/空头得分
POC价值区域：识别关键支撑阻力
3. 交易决策流程
趋势确认阶段：
text
1. 观察市场状态背景色
2. 确认云图位置关系
3. 检查ADX趋势强度
入场信号筛选：
text
1. 综合评分 > 对应阈值
2. 多指标信号共振
3. 成交量确认配合
风险管理执行：
text
1. 自动计算仓位大小
2. 设置分级止盈止损
3. 监控移动止损更新
4. 高级功能
回看模式：启用历史信号验证
特殊平仓：基于ATR比率的提前离场
信号过滤：通过调整各组件权重优化信号质量
该策略通过系统化的多因子评分机制，在复杂的市场环境中实现稳定的自动化交易决策，特别适合ETH等加密货币的短期波动特性。
Strategy Overview
The " Sunflower Quant - ETH 15min Strategy" is a sophisticated automated trading system specifically designed for ETH/USDT on 15-minute timeframes. This advanced algorithm integrates over 20 technical indicators and price action patterns to deliver intelligent entry decisions and comprehensive risk management.
Core Value Proposition
Multi-Timeframe Integration: Combines 1-hour and 4-hour higher timeframe data for signal validation
Dynamic Market Regime Detection: Real-time identification of Low Volatility, Ranging, and High Volatility market environments
Comprehensive Scoring System: Three-dimensional evaluation model based on Breakout Signals, Pattern Recognition, and Position Analysis
Adaptive Position Sizing: Dynamic allocation based on signal strength and market volatility
🟠 Core Architecture
Three-Layer Analytical Framework
1. Market Regime Detection System
Real-time market environment assessment through four dimensions:
ATR Relative Volatility
Bollinger Band Width
Average Amplitude
Momentum Strength
Market State Classification:
Low Volatility (≤30 points): Narrow ranges, awaiting breakout
Ranging Market (31-65 points): Moderate volatility, suitable for range trading
High Volatility (>65 points): Strong trends, ideal for trend following
2. Signal Generation Engine
Breakout Signal Layer:
Donchian Channel Breakouts (Upper/Middle/Lower)
Keltner Channel Breakouts (Upper/Middle/Lower)
Double ATR Momentum Confirmation
Pattern Recognition Layer:
Price Action: Outside Bars, Engulfing Patterns, False Breakouts
Candlestick Patterns: Hammer, Inverted Hammer, Doji, Dragonfly, Gravestone
Three Soldiers Method: Single-bar and Three-bar consecutive patterns
Position Analysis Layer:
Ichimoku Cloud Position (Above/Within/Below)
ADX Trend Strength Confirmation
DC/KC Middle Band Position Analysis
3. Volume & POC Analysis
Volume Confirmation:
High Volume Breakout Validation
Medium Volume Support Confirmation
Point of Control (POC) Value Areas:
Volume-based dense trading zone identification
POC Cluster Scoring System (Size Score + Volume Score + Time Score)
🟠 Trading Logic Specification
Entry Signal Classification
A-Class Signals (Strong Breakout)
Trigger: VP breaking key POC levels + strong pattern confirmation
Characteristics: High confidence, larger position sizing
Stop Loss: Wider stops based on historical ATR volatility
B-Class Signals (Pattern Confirmed)
Trigger: Clear price patterns + volume confirmation
Characteristics: Medium confidence, standard position sizing
Stop Loss: Based on pattern lows/highs
C-Class Signals (Weak Reversal)
Trigger: Single indicator signals + positional support
Characteristics: Lower confidence, small exploratory positions
Stop Loss: Tight stops for quick exits
Scoring Weight Distribution
text
Base Score = Breakout(30%) + Patterns(40%) + Position(30%)
Final Score = Base Score × Market Regime Coefficient × Cloud Position Coefficient
🟠 Risk Management System
Dynamic Stop Loss Strategy
Initial Stop Loss: ATR-based volatility + market regime adjustment
Trailing Stop: Phased tracking, progressively locking profits
Position Management
text
Base Position = Initial Capital × Base Coefficient / Stop Distance
Final Position = Base Position × Signal Strength Coefficient × Market Volatility Coefficient
Take Profit System
Scaled Profit Taking: 8 profit levels with proportional position distribution
Dynamic Adjustment: Trailing stop activation upon reaching specific profit tiers
🟠 Configuration Parameters
Market Regime Thresholds
pinescript
Low Volatility: ≤30 points
Ranging Market: 31-65 points
High Volatility: >65 points
Signal Strength Thresholds
pinescript
// Current Entry Thresholds (No Position)
Low Volatility: Long 82 / Short 82
Ranging: Long 75 / Short 80
High Volatility: Long 80 / Short 85
// Reversal Entry Thresholds
Low Volatility: Long 75 / Short 90
Ranging: Long 85 / Short 90
High Volatility: Long 90 / Short 100
🟠 Usage Guide
1. Initial Setup
Apply to ETH/USDT 15-minute chart
Configure webhook Signal ID and UID
Adjust initial capital parameters according to account size
2. Key Monitoring Elements
Market Regime Indicator: Watch background color changes
Signal Score Display: Monitor real-time long/short scores
POC Value Areas: Identify key support/resistance levels
3. Trading Decision Process
Trend Confirmation Phase:
text
1. Observe market regime background
2. Confirm Ichimoku cloud position
3. Check ADX trend strength
Entry Signal Screening:
text
1. Comprehensive score > corresponding threshold
2. Multiple indicator signal confluence
3. Volume confirmation alignment
Risk Management Execution:
text
1. Automatic position size calculation
2. Set scaled take profit and stop loss
3. Monitor trailing stop updates
4. Advanced Features
Lookback Mode: Historical signal validation
Special Close: Early exit based on ATR ratio
Signal Filtering: Optimize signal quality through component weight adjustment
This systematic multi-factor scoring strategy delivers stable automated trading decisions in complex market environments, particularly well-suited for the short-term volatility characteristics of cryptocurrencies like Ethereum.
Strategy Name: Sunflower Quantitative Strategy
Symbol: ETH/USDT
Timeframe: 15-minute
Market: Cryptocurrency
Strategy Type: Multi-timeframe Quantitative Analysis
Risk Level: Medium-High
Recommended Capital: $10,000+ for optimal position sizing
"向日葵量化"是一款专为ETH 15分钟图表设计的全自动量化交易策略。该策略通过多维度技术分析框架，集成超过20种技术指标与价格行为模式，实现智能化的入场决策与风险控制。
核心价值
多时间框架协同：整合1小时、4小时高周期数据，确保信号质量
动态市场状态识别：实时识别低波动、震荡、高波动三种市场环境
综合评分系统：基于突破信号、形态识别、位置分析的三维评分模型
智能仓位管理：根据信号强度与市场波动率动态调整仓位规模
🟠【核心架构】
策略基于三层分析框架构建：
1. 市场状态识别系统
通过ATR相对波动率、布林带宽、平均振幅、动量强度四个维度，实时判断当前市场环境：
低波动市场（≤30分）：窄幅震荡，等待突破
震荡市场（31-65分）：中等波动，适合区间交易
高波动市场（＞65分）：趋势明确，适合趋势跟踪
2. 信号生成引擎
突破信号层：
DC通道突破（上轨/中轨/下轨）
KC通道突破（上轨/中轨/下轨）
双ATR动量确认
形态识别层：
价格行为模式：外包线、吞没形态、假突破
K线形态：锤子线、倒锤子线、十字星、蜻蜓线、墓碑线
三兵三法：单根强度与三根连续形态
位置分析层：
云图位置关系（之上/之中/之下）
ADX趋势强度确认
DC/KC中轨位置判断
3. 成交量与POC分析
成交量确认：
高成交量突破确认
中等成交量支撑确认
POC价值区域：
基于成交量分布的密集成交区识别
POC集群评分系统（规模分+成交量分+时间分）
🟠【交易逻辑详解】
入场信号分类
A类信号（强势突破）
触发条件：VP突破POC关键位 + 强势形态确认
特征：高置信度，大仓位配置
止损设置：相对宽松，基于ATR历史波动率
B类信号（形态确认）
触发条件：明确价格形态 + 成交量确认
特征：中等置信度，标准仓位
止损设置：基于形态低点/高点
C类信号（弱势反弹）
触发条件：单一指标信号 + 位置支撑
特征：低置信度，小仓位试探
止损设置：紧凑止损，快速离场
评分权重分配
text
基础分 = 突破分(30%) + 形态分(40%) + 位置分(30%)
最终分 = 基础分 × 市场状态系数 × 云图位置系数
🟠【风险管理系统】
动态止损策略
初始止损：基于ATR波动率 + 市场状态调整系数
移动止损：分阶段跟踪，逐级锁定利润
仓位管理
text
基础仓位 = 初始资金 × 基础系数 / 止损距离
最终仓位 = 基础仓位 × 信号强度系数 × 市场波动系数
止盈系统
分级止盈：8个止盈级别，按仓位比例分配
动态调整：达到特定止盈级别后启动移动止损
🟠【配置参数】
市场状态阈值
pinescript
低波动区间：≤30分
震荡区间：31-65分
高波动区间：＞65分
信号强度阈值
pinescript
// 当前开仓阈值（无持仓）
低波动：做多82分 / 做空82分
震荡：做多75分 / 做空80分
高波动：做多80分 / 做空85分
// 反转开仓阈值
低波动：做多75分 / 做空90分
震荡：做多85分 / 做空90分
高波动：做多90分 / 做空100分
🟠【使用指南】
1. 初始设置
添加到ETH/USDT 15分钟图表
配置webhook信号ID和UID
根据资金量调整初始资本参数
2. 监控要点
市场状态指示器：关注背景颜色变化
信号评分显示：实时查看多头/空头得分
POC价值区域：识别关键支撑阻力
3. 交易决策流程
趋势确认阶段：
text
1. 观察市场状态背景色
2. 确认云图位置关系
3. 检查ADX趋势强度
入场信号筛选：
text
1. 综合评分 > 对应阈值
2. 多指标信号共振
3. 成交量确认配合
风险管理执行：
text
1. 自动计算仓位大小
2. 设置分级止盈止损
3. 监控移动止损更新
4. 高级功能
回看模式：启用历史信号验证
特殊平仓：基于ATR比率的提前离场
信号过滤：通过调整各组件权重优化信号质量
该策略通过系统化的多因子评分机制，在复杂的市场环境中实现稳定的自动化交易决策，特别适合ETH等加密货币的短期波动特性。
Skrip hanya-undangan
Only users approved by the author can access this script. You'll need to request and get permission to use it. This is typically granted after payment. For more details, follow the author's instructions below or contact AI-996NB directly.
TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.
Instruksi penulis
"Sunflower Quant is a sophisticated multi-timeframe quantitative strategy developed specifically for ETH 15-minute trading. This system integrates advanced market regime detection, comprehensive pattern recognition, and dynamic risk management to deliver
🌟 专注加密货币量化交易领域
致力于将复杂的市场行为转化为精准的算法模型，通过多时间框架共振技术捕捉高概率交易机会。
🎯 分享内容：
√ 实战验证的交易指标
√ 系统化交易策略逻辑
√ 风险管理深度解析
🤝 合作机会：
专业自动交易服务现已开放，为您的投资提供机构级算法支持。
联系+V：LKX15052137100
Telegram：kaka131421
X：kaka131421
Telegram：t.me/+BwES-Lswc0JiZjY1
致力于将复杂的市场行为转化为精准的算法模型，通过多时间框架共振技术捕捉高概率交易机会。
🎯 分享内容：
√ 实战验证的交易指标
√ 系统化交易策略逻辑
√ 风险管理深度解析
🤝 合作机会：
专业自动交易服务现已开放，为您的投资提供机构级算法支持。
联系+V：LKX15052137100
Telegram：kaka131421
X：kaka131421
Telegram：t.me/+BwES-Lswc0JiZjY1
Pernyataan Penyangkalan
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Skrip hanya-undangan
Only users approved by the author can access this script. You'll need to request and get permission to use it. This is typically granted after payment. For more details, follow the author's instructions below or contact AI-996NB directly.
TradingView does NOT recommend paying for or using a script unless you fully trust its author and understand how it works. You may also find free, open-source alternatives in our community scripts.
Instruksi penulis
"Sunflower Quant is a sophisticated multi-timeframe quantitative strategy developed specifically for ETH 15-minute trading. This system integrates advanced market regime detection, comprehensive pattern recognition, and dynamic risk management to deliver
🌟 专注加密货币量化交易领域
致力于将复杂的市场行为转化为精准的算法模型，通过多时间框架共振技术捕捉高概率交易机会。
🎯 分享内容：
√ 实战验证的交易指标
√ 系统化交易策略逻辑
√ 风险管理深度解析
🤝 合作机会：
专业自动交易服务现已开放，为您的投资提供机构级算法支持。
联系+V：LKX15052137100
Telegram：kaka131421
X：kaka131421
Telegram：t.me/+BwES-Lswc0JiZjY1
致力于将复杂的市场行为转化为精准的算法模型，通过多时间框架共振技术捕捉高概率交易机会。
🎯 分享内容：
√ 实战验证的交易指标
√ 系统化交易策略逻辑
√ 风险管理深度解析
🤝 合作机会：
专业自动交易服务现已开放，为您的投资提供机构级算法支持。
联系+V：LKX15052137100
Telegram：kaka131421
X：kaka131421
Telegram：t.me/+BwES-Lswc0JiZjY1
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