9 Seasons Rainbow Indicator PRO [GO8686]Trading on 5 minutes frame can be as reasonable as on 4H frame, use 9 Seasons Rainbow Indicator PRO for both.
5分钟维度的交易可以与4小时维度一样合理,请使用9季彩虹指标 PRO 。
Market is full of life, with seasons.
9 Seasons Rainbow Indicator displays 9 seasons of any trading instrument in multiple time frames, helping traders and investors understand the flow of price.
The combination of seasons in different time dimensions may give perfect trading signals, for instance: overbought in both small time frame and big time frame has high success probability of shorting trade.
Please install the indicator: Demo, PRO or STANDARD Version. Apply the indicator to your favorites trading instruments: indices, stocks, futures , forex or crypto currencies. Find your patterns that make money.
---------- 9 Seasons ----------
Bull(Green), evolves into BullRest, OverBought, Bear, or Neutral
Bull Rest(Light Green): a pullback or retracement, evolves into Bull or Bear
OverBought(Yellow): may have defined a top or resistance, can happen in range, evolves into CrazyBought or Bear
CrazyBought(Lime): going up in a high volatility , evolves into Bear, OverBought, or BullRest
Neutral(White): a wandering season without direction, evolves into Bull or Bear
Bear(Red), evolves into BearRest, OverSold, Bull or Neutral
Bear Rest(Light Red): a bounce, evolves into Bear or Bull
OverSold(Blue): may have defined a bottom or support, can happen in range, evolves into CrazySold or Bull
CrazySold(Fuchsia): going down in a high volatility , evolves into Bull, OverSold, or BearRest
---------- Some important evolutions of seasons ----------
OverBought -> CrazyBought: can happen with a breakout
CrazyBought -> OverBought or Bear: could mean fading of a breakout
CrazyBought -> BullRest: can happen after rising over a new level
OverSold -> CrazySold: can happen with a breakdown
CrazySold -> OverSold or Bear: could mean fading of a breakdown
CrazySold -> BearRest: can happen after dropping to a new level
---------- Rainbow Ribbons for multiple time frames ----------
Each ribbon of the rainbow represents a time frame,
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 M, level 2 is 15 * (square root of 2) M. level 3 is 15*2 M, level 4 is 30 * (square root of 2) M, level 5 is 30 * 2 m etc.
The uppermost ribbon represents the smallest time frame - current time period of the chart.
The lower ribbons represent bigger time frames, which work as context.
Examples for time frame rainbow:
For DEMO in 30M: 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Versions Description ----------
The features may change later, please refer to latest update.
PRO:
PRO version of 9 Seasons Rainbow Indicator is invite-only, with the following advanced features:
12 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 45 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on low, medium, and high time frames.
Option to input different trading instrument to compare with the current ticker.
Full time periods access allows you to watch the market on broadest time dimensions.
More new features in updates.
STANDARD:
This is STANDARD version of 9 Seasons Rainbow Indicator, invite-only, with the following advanced features:
8 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 11 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on upper and lower time frames.
Broad time periods access allows you to watch the market on popular time dimensions from 15M - 1D,2D,3D,4D,5D,6D,1W.
More new features in updates.
DEMO:
A DEMO of Standard version for trial purpose, having most the functions except alert preset conditions.
It is applicable to a list of trading instruments and specific time periods(30m-1D), which may change later. please refer to latest updates.
---List of tickers applicable for Demo version.
Currency Index:AXY, BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
Stock Index:SPX,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
Crypto:BTCUSD
Commodity:BCOUSD, GOLD
---------- Access to Indicators ----------
Please use DEMO version to taste the indicator.
Please contact the author for access to PRO or Standard versions.
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
tradingview.com/u/go8686/#published-scripts
---------- Disclaim ----------
By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
9季彩虹指标 PRO
市场充满生机。
9季彩虹指标在多个时间维度上显示任何交易品种的9个季节交替,帮助交易者和投资者了解价格流动。
不同时间维度的季节组合可以给出完美的交易信号,例如:在小时间框架和大时间框架上同时出现超买具有很高的卖空交易成功概率。
请安装指标:DEMO,STANDARD 或者 PRO 版本. 应用指标到您的交易品种:证券,期货,外汇或者加密货币。找到属于您的盈利模式。
---------- 季节的定义 ----------
牛(绿色),可以演变到牛市回调,超买,熊 或者 中性
牛市回调(淡绿色):可以演变到牛或者熊
超买(黄色),可能刚刚定义了一个头部或者阻力区,可以发生在盘整期,可以演变到狂买或者熊
狂买(亮绿色):高波动性上涨,可以演变到熊,超买或者牛市回调
中性(白色): 没有方向的徘徊期,可以演变到牛或者熊
熊(红色),可以演变到熊市反弹,超卖,牛 或者 中性
熊市反弹(淡红色),可以演变到熊或者牛
超卖(蓝色),可能刚刚定义了一个底部或者支撑,可以发生在盘整期,可以演变到狂卖或者牛
狂卖(紫红色),高波动性下跌,可以演变到牛,超卖 或者熊市反弹
一些重要的季节交替
超买 -> 狂买:可能发生在向上突破时
狂买 -> 熊 或者 超买:可能发生在突破失败时
狂买 -> 牛市回调: 可能发生在上平台后
超卖 -> 狂卖:可能发生在向下突破时
狂卖 -> 牛 或者 超卖:可能发生在突破失败时
狂卖 -> 熊市回调: 可能发生在下平台后
---------- 色带彩虹所代表的时间维度 ----------
每条色带代表一个时间维度。
色带间隔1.4142倍(2的开方),如果第一维度是15分钟,第二维度是15*1.4142=21分钟,第三维度是15*2=30分钟,以此类推。
最上面的色带代表最小的时间维度,也就是目前图表的时间维度
最下面的色带代表最大的时间维度。
例子:
演示版: 30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m
标准版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m
专业版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m-480m(8H)-679m
---------- 不同版本功能描述 ----------
这些特征及功能可能会发生变化,以更新为准。
---专业版PRO高级特征
12色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达四十五倍的市场状态
高级警报功能:允许您在低,中,高时间帧上设置超买,狂买,超卖,狂卖的警报。
可以输入不同的交易品种用于指标,便于与当前交易品种进行比较。
全时间维度(分钟到日线级别)给您全视角观察市场
更新中的更多新功能。
---标准版STANDARD特征
8色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达十一倍的市场状态
高级警报功能:允许您在低,高时间层级上设置超买,狂买,超卖,狂卖的警报。
宽时间维度(15分钟到日线级别)让您从更宽阔的视角观察市场
更新中的更多新功能。
--演示版DEMO
演示版用于标准版的演示和试用,适用于特定的资产列表和时间维度(30M-1D),后续可能调整.
适用的品种列表
AXY , BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
SPX ,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
BTCUSD , BCOUSD , GOLD
---------- 获得使用权 ----------
请使用演示版以初步了解指标的运行机理。
联系指标开发者以取得标准版和专业版的使用权
---------- 开发者的指标列表 ----------
tradingview.com/u/go8686/#published-scripts
---------- 加载时间 ----------
可能需要2分钟,取决于网络和电脑配置。
---------- 免责声明 ----------
在要求获得本指标使用权之前以及在使用本指标之前,用户认可已经完全了解和接受:本指标仅供研究目的, 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问,因此不对用户的任何赢亏负责。
用户应独立判断,审慎评估并自负投资和交易风险!
最近的更新会覆盖之前的说明。 请参阅更新来查看指标的新特征和功能。
Cari dalam skrip untuk "spx"
9 Seasons Rainbow Indicator STANDARD [GO8686]Market is full of life, with seasons.
9 Seasons Rainbow Indicator displays 9 seasons of any trading instrument in multiple time frames, helping traders and investors understand the flow of price.
The combination of seasons in different time dimensions may give perfect trading signals, for instance: overbought in both small time frame and big time frame has high success probability of shorting trade.
Please install the indicator: Demo, PRO or STANDARD Version. Apply the indicator to your favorites trading instruments: indices, stocks, futures , forex or crypto currencies. Find your patterns that make money.
---------- 9 Seasons ----------
Bull(Green), evolves into BullRest, OverBought, Bear, or Neutral
Bull Rest(Light Green): a pullback or retracement, evolves into Bull or Bear
OverBought(Yellow): may have defined a top or resistance, can happen in range, evolves into CrazyBought or Bear
CrazyBought(Lime): going up in a high volatility , evolves into Bear, OverBought, or BullRest
Neutral(White): a wandering season without direction, evolves into Bull or Bear
Bear(Red), evolves into BearRest, OverSold, Bull or Neutral
Bear Rest(Light Red): a bounce, evolves into Bear or Bull
OverSold(Blue): may have defined a bottom or support, can happen in range, evolves into CrazySold or Bull
CrazySold(Fuchsia): going down in a high volatility , evolves into Bull, OverSold, or BearRest
---------- Some important evolutions of seasons ----------
OverBought -> CrazyBought: can happen with a breakout
CrazyBought -> OverBought or Bear: could mean fading of a breakout
CrazyBought -> BullRest: can happen after rising over a new level
OverSold -> CrazySold: can happen with a breakdown
CrazySold -> OverSold or Bear: could mean fading of a breakdown
CrazySold -> BearRest: can happen after dropping to a new level
---------- Rainbow Ribbons for multiple time frames ----------
Each ribbon of the rainbow represents a time frame,
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 M, level 2 is 15 * (square root of 2) M. level 3 is 15*2 M, level 4 is 30 * (square root of 2) M, level 5 is 30 * 2 m etc.
The uppermost ribbon represents the smallest time frame - current time period of the chart.
The lower ribbons represent bigger time frames, which work as context.
Examples for time frame rainbow:
For DEMO in 30M: 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Versions Description ----------
The features may change later, please refer to latest update.
STANDARD:
This is STANDARD version of 9 Seasons Rainbow Indicator, invite-only, with the following advanced features:
8 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 11 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on upper and lower time frames.
Broad time periods access allows you to watch the market on popular time dimensions from 15M - 1D,2D,3D,4D,5D,6D,1W.
More new features in updates.
PRO:
PRO version of 9 Seasons Rainbow Indicator is invite-only, with the following advanced features:
12 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 45 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on low, medium, and high time frames.
Option to input different trading instrument to compare with the current ticker.
Full time periods access allows you to watch the market on broadest time dimensions.
More new features in updates.
DEMO:
A DEMO of Standard version for trial purpose, having most the functions except alert preset conditions.
It is applicable to a list of trading instruments and specific time periods(30m-1D), which may change later. please refer to latest updates.
---List of tickers applicable for Demo version.
Currency Index:AXY, BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
Stock Index:SPX,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
Crypto:BTCUSD
Commodity:BCOUSD, GOLD
---------- Access to Indicators ----------
Please contact the author for access to PRO or Standard versions.
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
tradingview.com/u/go8686/#published-scripts
---------- Disclaim ----------
By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
9季彩虹指标 标准版 STANDARD
市场充满生机。
9季彩虹指标在多个时间维度上显示任何交易品种的9个季节交替,帮助交易者和投资者了解价格流动。
不同时间维度的季节组合可以给出完美的交易信号,例如:在小时间框架和大时间框架上同时出现超买具有很高的卖空交易成功概率。
请安装指标:DEMO,STANDARD 或者 PRO 版本. 应用指标到您的交易品种:证券,期货,外汇或者加密货币。找到属于您的盈利模式。
---------- 季节的定义 ----------
牛(绿色),可以演变到牛市回调,超买,熊 或者 中性
牛市回调(淡绿色):可以演变到牛或者熊
超买(黄色),可能刚刚定义了一个头部或者阻力区,可以发生在盘整期,可以演变到狂买或者熊
狂买(亮绿色):高波动性上涨,可以演变到熊,超买或者牛市回调
中性(白色): 没有方向的徘徊期,可以演变到牛或者熊
熊(红色),可以演变到熊市反弹,超卖,牛 或者 中性
熊市反弹(淡红色),可以演变到熊或者牛
超卖(蓝色),可能刚刚定义了一个底部或者支撑,可以发生在盘整期,可以演变到狂卖或者牛
狂卖(紫红色),高波动性下跌,可以演变到牛,超卖 或者熊市反弹
一些重要的季节交替
超买 -> 狂买:可能发生在向上突破时
狂买 -> 熊 或者 超买:可能发生在突破失败时
狂买 -> 牛市回调: 可能发生在上平台后
超卖 -> 狂卖:可能发生在向下突破时
狂卖 -> 牛 或者 超卖:可能发生在突破失败时
狂卖 -> 熊市回调: 可能发生在下平台后
---------- 色带彩虹所代表的时间维度 ----------
每条色带代表一个时间维度。
色带间隔1.4142倍(2的开方),如果第一维度是15分钟,第二维度是15*1.4142=21分钟,第三维度是15*2=30分钟,以此类推。
最上面的色带代表最小的时间维度,也就是目前图表的时间维度
最下面的色带代表最大的时间维度。
例子:
演示版: 30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m
标准版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m
专业版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m-480m(8H)-679m
---------- 不同版本功能描述 ----------
这些特征及功能可能会发生变化,以更新为准。
---标准版STANDARD特征
8色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达十一倍的市场状态
高级警报功能:允许您在低,高时间层级上设置超买,狂买,超卖,狂卖的警报。
宽时间维度(15分钟到日线级别)让您从更宽阔的视角观察市场
更新中的更多新功能。
---专业版PRO高级特征
12色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达四十五倍的市场状态
高级警报功能:允许您在低,中,高时间帧上设置超买,狂买,超卖,狂卖的警报。
可以输入不同的交易品种用于指标,便于与当前交易品种进行比较。
全时间维度(分钟到日线级别)给您全视角观察市场
更新中的更多新功能。
--演示版DEMO
演示版用于标准版的演示和试用,适用于特定的资产列表和时间维度(30M-1D),后续可能调整.
适用的品种列表
AXY , BXY , CXY , DXY , EXY , JXY , SXY , ZXY ,
SPX ,TSX, DAX , NI225 ,KOSPI,399001, SHCOMP , HSI , XJO , TAIEX , SX5E ,
BTCUSD , BCOUSD , GOLD
---------- 获得使用权 ----------
联系指标开发者以取得标准版和专业版的使用权
---------- 开发者的指标列表 ----------
tradingview.com/u/go8686/#published-scripts
---------- 加载时间 ----------
可能需要2分钟,取决于网络和电脑配置。
---------- 免责声明 ----------
在要求获得本指标使用权之前以及在使用本指标之前,用户认可已经完全了解和接受:本指标仅供研究目的, 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问,因此不对用户的任何赢亏负责。
用户应独立判断,审慎评估并自负投资和交易风险!
最近的更新会覆盖之前的说明。 请参阅更新来查看指标的新特征和功能。
9 Seasons Rainbow Indicator DEMO [GO8686]Having good pattern recognition? Use this indicator to test and practice it.
Market is full of life, with seasons.
9 Seasons Rainbow Indicator displays 9 seasons of any trading instrument in multiple time frames, helping traders and investors understand the flow of price.
The combination of seasons in different time dimensions may give perfect trading signals, for instance: overbought in both small time frame and big time frame has high success probability of shorting trade.
Please install the indicator: Demo, PRO or STANDARD Version. Apply the indicator to your favorites trading instruments: indices, stocks, futures, forex or crypto currencies. Find your patterns that make money.
---------- 9 Seasons ----------
Bull(Green), evolves into BullRest, OverBought, Bear, or Neutral
Bull Rest(Light Green): a pullback or retracement, evolves into Bull or Bear
OverBought(Yellow): may have defined a top or resistance, can happen in range, evolves into CrazyBought or Bear
CrazyBought(Lime): going up in a high volatility, evolves into Bear, OverBought, or BullRest
Neutral(White): a wandering season without direction, evolves into Bull or Bear
Bear(Red), evolves into BearRest, OverSold, Bull or Neutral
Bear Rest(Light Red): a bounce, evolves into Bear or Bull
OverSold(Blue): may have defined a bottom or support, can happen in range, evolves into CrazySold or Bull
CrazySold(Fuchsia): going down in a high volatility, evolves into Bull, OverSold, or BearRest
---------- Some important evolutions of seasons ----------
OverBought -> CrazyBought: can happen with a breakout
CrazyBought -> OverBought or Bear: could mean fading of a breakout
CrazyBought -> BullRest: can happen after rising over a new level
OverSold -> CrazySold: can happen with a breakdown
CrazySold -> OverSold or Bear: could mean fading of a breakdown
CrazySold -> BearRest: can happen after dropping to a new level
---------- Rainbow Ribbons for multiple time frames ----------
Each ribbon of the rainbow represents a time frame,
The difference between two frames is 1.4142 fold (square root of 2), if level 1 is 15 M, level 2 is 15 * (square root of 2) M. level 3 is 15*2 M, level 4 is 30 * (square root of 2) M, level 5 is 30 * 2 m etc.
The uppermost ribbon represents the smallest time frame - current time period of the chart.
The lower ribbons represent bigger time frames, which work as context.
Examples for time frame rainbow:
For DEMO in 30M: 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M
For STANDARD in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M
For PRO in 15M: 15M - 21M - 30M - 42M - 60M(1H) - 85M - 120M(2H) - 170M - 240M(4H) - 339M - 480M(8H) - 679M
---------- Versions Description ----------
The features may change later, please refer to latest update.
DEMO:
This is DEMO of Standard version for trial purpose, having most the functions except alert preset conditions.
It is applicable to a list of trading instruments and specific time periods(30m-1D), which may change later. please refer to latest updates.
---List of tickers applicable for Demo version.
Currency Index:AXY,BXY,CXY,DXY,EXY,JXY,SXY,ZXY,
Stock Index:SPX,TSX,DAX,NI225,KOSPI,399001,SHCOMP,HSI,XJO,TAIEX,SX5E,
Crypto:BTCUSD
Commodity:BCOUSD,GOLD
STANDARD:
STANDARD version of 9 Seasons Rainbow Indicator is invite-only, with the following advanced features:
8 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 11 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on upper and lower time frames.
Broad time periods access allows you to watch the market on popular time dimensions from 15M - 1D,2D,3D,4D,5D,6D,1W.
More new features in updates.
PRO:
PRO version of 9 Seasons Rainbow Indicator is invite-only, with the following advanced features:
12 Ribbon Rainbow lets you discover trading opportunities hidden in the 1.4142 fold time dimension while monitoring market conditions spanning 45 times.
Advanced alert sets allows you set alerts for Overbought, Crazybought, OverSold, CrazySold on low, medium, and high time frames.
Option to input different trading instrument to compare with the current ticker.
Full time periods access allows you to watch the market on broadest time dimensions.
More new features in updates.
---------- Access to Indicators ----------
Please contact the author for access to PRO or Standard versions.
---------- About Loading Time ----------
It may take up to 2 minutes for your browser to load a new setting, depending on the your computer and network speed.
---------- List of the author's Indicators ----------
www.tradingview.com
---------- Disclaim ----------
By using or requesting access to this indicator, you acknowledge that you have read and accepted that this indicator is for study purposes only and it does NOT guarantee you will make money.
I am not financial adviser and I am NOT responsible for any profits or losses you may incur by using this indicator!
Users should make their own decisions, carefully assess risks and be responsible for investment and trading activities.
The latest updates override the previous description. Please check the updates.
9季彩虹指标 演示版
具备优秀的模式识别能力吗? 9季彩虹指标检验,提升您的模式识别能力。
市场充满生机。
9季彩虹指标在多个时间维度上显示任何交易品种的9个季节交替,帮助交易者和投资者了解价格流动。
不同时间维度的季节组合可以给出完美的交易信号,例如:在小时间框架和大时间框架上同时出现超买具有很高的卖空交易成功概率。
请安装指标:Demo,STANDARD 或者 PRO 版本. 应用指标到您的交易品种:证券,期货,外汇或者加密货币。找到属于您的盈利模式。
---------- 季节的定义 ----------
牛(绿色),可以演变到牛市回调,超买,熊 或者 中性
牛市回调(淡绿色):可以演变到牛或者熊
超买(黄色),可能刚刚定义了一个头部或者阻力区,可以发生在盘整期,可以演变到狂买或者熊
狂买(亮绿色):高波动性上涨,可以演变到熊,超买或者牛市回调
中性(白色): 没有方向的徘徊期,可以演变到牛或者熊
熊(红色),可以演变到熊市反弹,超卖,牛 或者 中性
熊市反弹(淡红色),可以演变到熊或者牛
超卖(蓝色),可能刚刚定义了一个底部或者支撑,可以发生在盘整期,可以演变到狂卖或者牛
狂卖(紫红色),高波动性下跌,可以演变到牛,超卖 或者熊市反弹
一些重要的季节交替
超买 -> 狂买:可能发生在向上突破时
狂买 -> 熊 或者 超买:可能发生在突破失败时
狂买 -> 牛市回调: 可能发生在上平台后
超卖 -> 狂卖:可能发生在向下突破时
狂卖 -> 牛 或者 超卖:可能发生在突破失败时
狂卖 -> 熊市回调: 可能发生在下平台后
---------- 色带彩虹所代表的时间维度 ----------
每条色带代表一个时间维度。
色带间隔1.4142倍(2的开方),如果第一维度是15分钟,第二维度是15*1.4142=21分钟,第三维度是15*2=30分钟,以此类推。
最上面的色带代表最小的时间维度,也就是目前图表的时间维度
最下面的色带代表最大的时间维度。
例子:
演示版: 30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m
标准版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m
专业版: 15m-21m-30m-42m-60m(1H)-85m-120m(2H)-170m-240m(4H)-339m-480m(8H)-679m
---------- 不同版本功能描述 ----------
这些特征及功能可能会发生变化,以更新为准。
--演示版DEMO
演示版用于标准版的演示和试用,适用于特定的资产列表和时间维度(30M-1D),后续可能调整.
适用的品种列表
AXY,BXY,CXY,DXY,EXY,JXY,SXY,ZXY,
SPX,TSX,DAX,NI225,KOSPI,399001,SHCOMP,HSI,XJO,TAIEX,SX5E,
BTCUSD,BCOUSD,GOLD
---标准版STANDARD特征
8色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达十一倍的市场状态
高级警报功能:允许您在低,高时间层级上设置超买,狂买,超卖,狂卖的警报。
宽时间维度(15分钟到日线级别)让您从更宽阔的视角观察市场
更新中的更多新功能。
---专业版PRO高级特征
12色带彩虹让您发现隐藏在1.4142时间维度的交易机会,同时监控时间跨度达四十五倍的市场状态
高级警报功能:允许您在低,中,高时间帧上设置超买,狂买,超卖,狂卖的警报。
可以输入不同的交易品种用于指标,便于与当前交易品种进行比较。
全时间维度(分钟到日线级别)给您全视角观察市场
更新中的更多新功能。
---------- 获得使用权 ----------
联系指标开发者以取得标准版和专业版的使用权
---------- 开发者的指标列表 ----------
www.tradingview.com
---------- 加载时间 ----------
可能需要2分钟,取决于网络和电脑配置。
---------- 免责声明 ----------
在要求获得本指标使用权之前以及在使用本指标之前,用户认可已经完全了解和接受:本指标仅供教育和研究目的, 它不提供任何赢利的可能性。
本指标的开发者并非专业投资顾问,因此不对用户的任何赢亏负责。
用户应独立判断,审慎评估并自负投资和交易风险!
最近的更新会覆盖之前的说明。 请参阅更新来查看指标的新特征和功能。
ForceBar / @acardenas @ppinedasThis indicator is in its evaluation phase. It was specially designed to operate the SPX
Built-in parameters
- Periods
- Stop Loss
- Take Profit
-SL / TP activator
Mansfield Relative Strength indicatorUse this indicator to compare how security is performing in compare with preferred index (SPX by default).
> 0 outperforming
< 0 underperforming
Works best for weekly, but can be applied to monthly and daily charts. It will be rather useless to use it in smaller timeframes
Apply it to SPX, industry index, sector index or other security in similar sector
AK TREND ID v1.00Hello,
"Are we at the top yet ? "........ " Is it a good time to invest ? " ......." Should I buy or sell ? " These are the many questions I hear and get on the daily basis. 1000's of investors do not know when to go in and out of the market. Most of them rely on the opinion of "experts" on television to make their investment decisions. Bad idea.Taking a systematic approach when investing, could save you a lot of time and headache. If there was only a way to know when to get in and out of the market !! hmmmm. The good news is that there many ways to do that. The bad news is , are you disciplined enough to follow it ?
I coded the AK_TREND ID specifically to identified trends in the SPX or SPY only . How does it work ? very simply , I simply plot the spread between the 3 month and 8 month moving average on the chart.
If the spread > 0 @ month end = BUY
if the spread < 0 @ month end = SELL
The AK TREND ID is a LAGGING Indicator , so it will not get you in at the very bottom or get you out at the very top. I did a backtest on the SPX from 1984 to 7/2/2014 (yesterday), The rule was to buy only when the AK TREND ID was green. let's look at the result:
14 trades : 11 W 3 L , 78.75 % winning %
Biggest winner (%) = 108 %
Biggest loser (%) = -10.7 %
Average Return = 27 %
Total Return since 1984 = 351.3 %
You can see the result in detail here : docs.google.com
Although the backtesting results are good, the AK TREND ID is not to be used as a trading system. It is simply design to let you know when to invest and when to get out. I'm working a more accurate version of this Indicator , that will use both technical and fundamental data. In the mean time , I hope this will give some of you piece of mind, and eliminate emotions from your trading decision. Feel free to modify the code as you wish, but please share your finding with the rest of Trading View community.
All the best
Algo
Volatility Targeting: Single Asset [BackQuant]Volatility Targeting: Single Asset
An educational example that demonstrates how volatility targeting can scale exposure up or down on one symbol, then applies a simple EMA cross for long or short direction and a higher timeframe style regime filter to gate risk. It builds a synthetic equity curve and compares it to buy and hold and a benchmark.
Important disclaimer
This script is a concept and education example only . It is not a complete trading system and it is not meant for live execution. It does not model many real world constraints, and its equity curve is only a simplified simulation. If you want to trade any idea like this, you need a proper strategy() implementation, realistic execution assumptions, and robust backtesting with out of sample validation.
Single asset vs the full portfolio concept
This indicator is the single asset, long short version of the broader volatility targeted momentum portfolio concept. The original multi asset concept and full portfolio implementation is here:
That portfolio script is about allocating across multiple assets with a portfolio view. This script is intentionally simpler and focuses on one symbol so you can clearly see how volatility targeting behaves, how the scaling interacts with trend direction, and what an equity curve comparison looks like.
What this indicator is trying to demonstrate
Volatility targeting is a risk scaling framework. The core idea is simple:
If realized volatility is low relative to a target, you can scale position size up so the strategy behaves like it has a stable risk budget.
If realized volatility is high relative to a target, you scale down to avoid getting blown around by the market.
Instead of always being 1x long or 1x short, exposure becomes dynamic. This is often used in risk parity style systems, trend following overlays, and volatility controlled products.
This script combines that risk scaling with a simple trend direction model:
Fast and slow EMA cross determines whether the strategy is long or short.
A second, longer EMA cross acts as a regime filter that decides whether the system is ACTIVE or effectively in CASH.
An equity curve is built from the scaled returns so you can visualize how the framework behaves across regimes.
How the logic works step by step
1) Returns and simple momentum
The script uses log returns for the base return stream:
ret = log(price / price )
It also computes a simple momentum value:
mom = price / price - 1
In this version, momentum is mainly informational since the directional signal is the EMA cross. The lookback input is shared with volatility estimation to keep the concept compact.
2) Realized volatility estimation
Realized volatility is estimated as the standard deviation of returns over the lookback window, then annualized:
vol = stdev(ret, lookback) * sqrt(tradingdays)
The Trading Days/Year input controls annualization:
252 is typical for traditional markets.
365 is typical for crypto since it trades daily.
3) Volatility targeting multiplier
Once realized vol is estimated, the script computes a scaling factor that tries to push realized volatility toward the target:
volMult = targetVol / vol
This is then clamped into a reasonable range:
Minimum 0.1 so exposure never goes to zero just because vol spikes.
Maximum 5.0 so exposure is not allowed to lever infinitely during ultra low volatility periods.
This clamp is one of the most important “sanity rails” in any volatility targeted system. Without it, very low volatility regimes can create unrealistic leverage.
4) Scaled return stream
The per bar return used for the equity curve is the raw return multiplied by the volatility multiplier:
sr = ret * volMult
Think of this as the return you would have earned if you scaled exposure to match the volatility budget.
5) Long short direction via EMA cross
Direction is determined by a fast and slow EMA cross on price:
If fast EMA is above slow EMA, direction is long.
If fast EMA is below slow EMA, direction is short.
This produces dir as either +1 or -1. The scaled return stream is then signed by direction:
avgRet = dir * sr
So the strategy return is volatility targeted and directionally flipped depending on trend.
6) Regime filter: ACTIVE vs CASH
A second EMA pair acts as a top level regime filter:
If fast regime EMA is above slow regime EMA, the system is ACTIVE.
If fast regime EMA is below slow regime EMA, the system is considered CASH, meaning it does not compound equity.
This is designed to reduce participation in long bear phases or low quality environments, depending on how you set the regime lengths. By default it is a classic 50 and 200 EMA cross structure.
Important detail, the script applies regime_filter when compounding equity, meaning it uses the prior bar regime state to avoid ambiguous same bar updates.
7) Equity curve construction
The script builds a synthetic equity curve starting from Initial Capital after Start Date . Each bar:
If regime was ACTIVE on the previous bar, equity compounds by (1 + netRet).
If regime was CASH, equity stays flat.
Fees are modeled very simply as a per bar penalty on returns:
netRet = avgRet - (fee_rate * avgRet)
This is not realistic execution modeling, it is just a simple turnover penalty knob to show how friction can reduce compounded performance. Real backtesting should model trade based costs, spreads, funding, and slippage.
Benchmark and buy and hold comparison
The script pulls a benchmark symbol via request.security and builds a buy and hold equity curve starting from the same date and initial capital. The buy and hold curve is based on benchmark price appreciation, not the strategy’s asset price, so you can compare:
Strategy equity on the chart symbol.
Buy and hold equity for the selected benchmark instrument.
By default the benchmark is TVC:SPX, but you can set it to anything, for crypto you might set it to BTC, or a sector index, or a dominance proxy depending on your study.
What it plots
If enabled, the indicator plots:
Strategy Equity as a line, colored by recent direction of equity change, using Positive Equity Color and Negative Equity Color .
Buy and Hold Equity for the chosen benchmark as a line.
Optional labels that tag each curve on the right side of the chart.
This makes it easy to visually see when volatility targeting and regime gating change the shape of the equity curve relative to a simple passive hold.
Metrics table explained
If Show Metrics Table is enabled, a table is built and populated with common performance statistics based on the simulated daily returns of the strategy equity curve after the start date. These include:
Net Profit (%) total return relative to initial capital.
Max DD (%) maximum drawdown computed from equity peaks, stored over time.
Win Rate percent of positive return bars.
Annual Mean Returns (% p/y) mean daily return annualized.
Annual Stdev Returns (% p/y) volatility of daily returns annualized.
Variance of annualized returns.
Sortino Ratio annualized return divided by downside deviation, using negative return stdev.
Sharpe Ratio risk adjusted return using the risk free rate input.
Omega Ratio positive return sum divided by negative return sum.
Gain to Pain total return sum divided by absolute loss sum.
CAGR (% p/y) compounded annual growth rate based on time since start date.
Portfolio Alpha (% p/y) alpha versus benchmark using beta and the benchmark mean.
Portfolio Beta covariance of strategy returns with benchmark returns divided by benchmark variance.
Skewness of Returns actually the script computes a conditional value based on the lower 5 percent tail of returns, so it behaves more like a simple CVaR style tail loss estimate than classic skewness.
Important note, these are calculated from the synthetic equity stream in an indicator context. They are useful for concept exploration, but they are not a substitute for professional backtesting where trade timing, fills, funding, and leverage constraints are accurately represented.
How to interpret the system conceptually
Vol targeting effect
When volatility rises, volMult falls, so the strategy de risks and the equity curve typically becomes smoother. When volatility compresses, volMult rises, so the system takes more exposure and tries to maintain a stable risk budget.
This is why volatility targeting is often used as a “risk equalizer”, it can reduce the “biggest drawdowns happen only because vol expanded” problem, at the cost of potentially under participating in explosive upside if volatility rises during a trend.
Long short directional effect
Because direction is an EMA cross:
In strong trends, the direction stays stable and the scaled return stream compounds in that trend direction.
In choppy ranges, the EMA cross can flip and create whipsaws, which is where fees and regime filtering matter most.
Regime filter effect
The 50 and 200 style filter tries to:
Keep the system active in sustained up regimes.
Reduce exposure during long down regimes or extended weakness.
It will always be late at turning points, by design. It is a slow filter meant to reduce deep participation, not to catch bottoms.
Common applications
This script is mainly for understanding and research, but conceptually, volatility targeting overlays are used for:
Risk budgeting normalize risk so your exposure is not accidentally huge in high vol regimes.
System comparison see how a simple trend model behaves with and without vol scaling.
Parameter exploration test how target volatility, lookback length, and regime lengths change the shape of equity and drawdowns.
Framework building as a reference blueprint before implementing a proper strategy() version with trade based execution logic.
Tuning guidance
Lookback lower values react faster to vol shifts but can create unstable scaling, higher values smooth scaling but react slower to regime changes.
Target volatility higher targets increase exposure and drawdown potential, lower targets reduce exposure and usually lower drawdowns, but can under perform in strong trends.
Signal EMAs tighter EMAs increase trade frequency, wider EMAs reduce churn but react slower.
Regime EMAs slower regime filters reduce false toggles but will miss early trend transitions.
Fees if you crank this up you will see how sensitive higher turnover parameter sets are to friction.
Final note
This is a compact educational demonstration of a volatility targeted, long short single asset framework with a regime gate and a synthetic equity curve. If you want a production ready implementation, the correct next step is to convert this concept into a strategy() script, add realistic execution and cost modeling, test across multiple timeframes and market regimes, and validate out of sample before making any decision based on the results.
Daily Levels ImporterUser Guide: Daily Levels Importer
What This Indicator Does
This tool allows you to instantly draw multiple support and resistance lines on your TradingView chart by pasting a list of data. It avoids the need to manually draw lines one by one. It also features a dashboard to identify the ticker and filters to toggle specific line colors on or off.
1. The Data Format
The indicator reads text in a specific 3-column format (Comma Separated).
Format: \, \, \
* Ticker: The symbol name (used for the dashboard display).
* Price: The price level where the line will be drawn.
* Color Code:
r = Red
g = Green
y = Yellow
Example:
ES, 4150.25, r
ES, 4200.00, g
ES, 4175.50, y
2. How to Use It
3. Copy Your Data: Select your list of levels (from Excel, a text file, or a website) and copy them to your clipboard.
4. Open Settings: On your TradingView chart, hover over the indicator name and click the Settings (Gear Icon).
5. Paste Data:
* Find the "Paste Data Here" text box in the Inputs tab.
* Delete any existing text.
* Paste your new list.
6. Save: Click OK. The lines will instantly render on your chart.
7. Controls & Filters
You can customize the view without deleting data by using the checkboxes in the Settings menu:
* Line Filters:
* Show Red Levels: Uncheck to hide all red lines.
* Show Green Levels: Uncheck to hide all green lines.
* Show Yellow Levels: Uncheck to hide all yellow lines.
* Dashboard Location:
* Use the dropdowns to move the Ticker ID box to any corner of the screen (e.g., Top Right, Bottom Left) or change its size.
8. Troubleshooting
Lines aren't showing up?
* Ensure the prices match the asset you are viewing (e.g., don't paste SPX prices on an AAPL chart).
* Check if you accidentally unchecked the "Show " box in the settings.
"No Data" in Dashboard?
* The script reads the ticker name from the first row of your pasted data. Ensure the first row is not blank.
Is there a limit?
* Yes. TradingView allows approximately 4,000 characters in the text box. This is roughly 250 lines of price levels. If you need more, add a second instance of the indicator to the chart.
VX Levels and Ranch Ranges with Price ConverterThis is a indicator for all Vexly subscribers to plot the following:
1. Plot SPY/SPX levels on your ES chart. Or QQQ levels on your NQ chart
2. VX levels obtained from vx_levels command. SPY on ES chart and QQQ on NQ chart
3. Ranch Range levels from the discord channel for ES and NQ chart.
You can enable/disable any of them at your discretion.
CRS (2 symbols: Ratio or Normalized) + InverseMade for Crosrate comparison By Leo Hanhart
This script is made to do a comparison between two assets under your current chart.
For example if you want to compare SPX over Growth ETF's Below a current asset to find momentum in your stock trading above it
Macroeconomic Dashboard by DGTMacroeconomic Dashboard is a script tailored for traders and investors using top-down strategies to navigate global markets. It integrates key macroeconomic indicators, such as monetary policy, inflation, yields, and market sentiment, directly into financial charts.
By visualizing real-time macro data alongside asset price movements, this tool bridges the gap between traditional economic metrics and technical analysis. Whether analyzing crypto or traditional markets, users can better contextualize price action within broader economic cycles and trends.
Designed to support macro-informed decision-making, it helps identify shifts in liquidity, policy direction, and risk appetite, enhancing strategic trade entries and portfolio positioning.
KEY FEATURES
⯌ Macro Dashboard
The script provides a macro dashboard that tracks changes across key economic dimensions: monetary policy, inflation and growth, bond markets, and risk indicators. With built-in anomaly detection and trend analysis across short-, mid-, and long-term timeframes, it helps interpret market moves through a macroeconomic lens, whether analyzing equities, commodities, or digital assets.
⯌ Macro on Chart
By visualizing macro data such as M2 money supply, CPI, treasury yields, and volatility indices, users can more easily correlate economic developments with price action, enhancing situational awareness and decision-making.
MACRO METRICS
The script covers five core macroeconomic domains, each with key metrics:
Liquidity & Monetary Policy
Global M2 Money Supply
Federal Funds Rate
Reverse Repo Operations
Inflation & Economic Growth
Consumer Price Index (CPI)
Producer Price Index (PPI)
Real GDP Growth
Yields & Bond Markets
10-Year Treasury Yield
2-Year Treasury Yield
Yield Curve (10Y–2Y Spread)
Global Risk & Currency Indicators
U.S. Dollar Index (DXY)
Volatility Index (VIX)
Economic Policy Uncertainty Index
Equities, Commodities & Crypto
S&P 500 (SPX)
Nasdaq 100 (NDX)
Gold (XAU/USD)
Crude Oil (WTI)
Bitcoin (BTCUSD)
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user.
Skrip berbayar
New Age US ORB═════════════════════════════════════════════════════════════
NEW AGE US ORB
Opening Range Breakout Strategy with Neon Glow Effect
═════════════════════════════════════════════════════════════
🔒 INVITE-ONLY ACCESS
This script requires an invitation to use.
To request access, please send me a private message.
═════════════════════════════════════════════════════════════
🎯 OVERVIEW
The New Age US ORB is a clean, professional Opening Range Breakout (ORB) strategy with a futuristic visual style featuring dynamic neon glow effects.
Designed for Crypto (BTC/USD) and Indices (US100, US30, SPX) trading.
Best results on 5-minute or 15-minute chart with Regular Candles.
The strategy captures the first 15 minutes of US market activity (9:30-9:45 NY) and trades breakouts in the direction of the initial move.
💎 WHAT MAKES THIS UNIQUE
Unlike standard ORB indicators, this strategy combines:
• Proprietary 3-layer Neon Glow visualization for enhanced box visibility
• Integrated US Session backgrounds for market context
• Smart Session Filter to avoid low-probability late entries
• Separate Long/Short TP management for asymmetric markets
• Automatic EOD position closure for overnight risk control
• Daily trade limiter to prevent overtrading
• Global Timezone Support - works correctly for traders worldwide
This combination of visual design and risk management features is not available in standard ORB scripts.
Trade Smarter, not Harder.
📦 WHAT IS ORB?
The Opening Range Breakout (ORB) strategy is based on the concept that the first 15 minutes of the US market session often sets the tone for the rest of the day. The High and Low established during this period act as key support/resistance levels.
• Price breaks ABOVE ORB High → Bullish momentum (LONG)
• Price breaks BELOW ORB Low → Bearish momentum (SHORT)
⚡ KEY FEATURES
📦 ORB BOX VISUALIZATION
• Automatically captures High/Low of 9:30-9:45 NY candle
• Dynamic color change:
→ Cyan: Price ABOVE ORB High (Bullish)
→ Red: Price BELOW ORB Low (Bearish)
• Extends throughout the trading session
✨ NEON GLOW EFFECT
• 3-layer glow effect around the ORB box
• Layered borders (8px → 5px → 3px) with gradient transparency
• Creates futuristic, high-visibility appearance
• Toggle on/off in settings
🕐 US SESSION BACKGROUNDS
• US Open (9:30-11:30 NY) - Blue
• Lunch Break (11:30-13:30 NY) - Orange
• Afternoon (13:30-16:00 NY) - Green
• Visual reference only - helps identify optimal trading windows
⏱️ SESSION FILTER
• Configurable trading window (default: until 11:50 NY)
• Prevents late entries when momentum fades
• EOD auto-close in YOUR selected timezone (default: 21:45)
🎚️ RISK MANAGEMENT
• ORB Box Stop Loss: SL at opposite ORB level + buffer
• Separate Take Profit settings for Long/Short
• Points or Percentage mode
• Daily trade limit (default: 6 trades max)
📊 INFO DASHBOARD
• Real-time status panel (top right)
• Shows: Timezone, Status, Session, Direction, Trades, SL/TP, EOD, ORB levels
⚙️ SETTINGS
TIMEZONE
└── Your Timezone: Select from 12 global timezones (Default: Europe/Zurich)
Available: UTC, New York, Chicago, Los Angeles, London, Berlin,
Zurich, Paris, Tokyo, Hong Kong, Singapore, Sydney
ORB BOX (9:30-9:45 NY)
├── Show ORB Box: true/false
└── Neon Glow Effect: true/false
US SESSION BACKGROUNDS
├── Show Session Background: true/false
├── US Open Color (9:30-11:30)
├── Lunch Color (11:30-13:30)
└── Afternoon Color (13:30-16:00)
SESSION FILTER
├── Enable Session Filter: true/false
├── Session End Hour (NY): 0-23
└── Session End Minute (NY): 0-59
DAILY CLOSE (Your Timezone)
├── Enable Daily Close: true/false
├── EOD Hour: 0-23
└── EOD Minute: 0-59
TRADE LIMITS
├── Enable Daily Limit: true/false
└── Max Trades per Day: 1-10
STOP LOSS
├── Enable ORB Box SL: true/false
└── SL Buffer: Points distance from ORB level
TAKE PROFIT - LONG
├── Enable TP Long: true/false
├── Mode: Points / Percent
├── TP Long Points: Distance in points
└── TP Long Percent: Distance in %
TAKE PROFIT - SHORT
├── Enable TP Short: true/false
├── Mode: Points / Percent
├── TP Short Points: Distance in points
└── TP Short Percent: Distance in %
COLORS
├── Bullish: Default #00ffbb (Cyan)
└── Bearish: Default #ff1100 (Red)
📈 HOW TO USE
1. Apply to BTC/USD or US100 on 5min or 15min timeframe
2. Use Regular Candles for realistic results
3. Go to Strategy Properties → Enable ☑️ "Recalculate On Bar Close"
4. Select your Timezone in settings (for correct EOD close time)
5. Wait for ORB box to complete (9:45 NY)
6. Strategy enters automatically on breakout:
→ LONG when price closes above ORB High
→ SHORT when price closes below ORB Low
7. Manage risk with ORB Box SL and TP settings
8. All positions close at EOD time (in your timezone)
🔔 ALERTS
• LONG Entry - Breakout above ORB High
• SHORT Entry - Breakout below ORB Low
• EOD Close - End of day position close
💡 BEST PRACTICES
• Most effective during US Open session (9:30-11:30 NY)
• Avoid Lunch session (11:30-13:30) - lower volatility
• ORB levels act as support/resistance all day
• Wider TP for trending days, tighter for ranging markets
• Use session filter to avoid late, low-probability entries
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© AL_R4D1 - New Age Style Trading Tools
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Smart Money Alpha Signals (Performance Dashboard) Smart Money Alpha Signals: Identifying Market Leaders & Generating Alpha
GMP Alpha Signals (Global Market Performance Alpha) is a specialized analysis tool designed not merely to find stocks that are rising, but to identify "Alpha" assets—Market Leaders that defend their price or rise even under adverse conditions where the market index falls or consolidates.
This indicator visualizes the concept of Comparative Relative Strength (RS) and Smart Money accumulation patterns, helping traders capture profit opportunities even during bearish market phases.
Key Objectives (Purpose)
Alpha Capture: Identifying assets generating 'excess returns' that outperform the market Beta.
Smart Money Tracking: Detecting traces of 'institutional buying' and 'accumulation' that defend prices during index plunges.
Decoupling Identification: Spotting assets moving on independent catalysts or momentum, regardless of the broader market direction.
Stop Hunt Filtering: Distinguishing 'fake drops' where price dips temporarily, but Relative Strength remains intact.
Dashboard Guide
Interpretation of the information panel (Table) displayed on the chart.
Rel. Performance: Shows the excess return compared to the index over the set period. (Positive/Green = Stronger than the market).
Decoupling Strength: The correlation coefficient with the index. Lower values (0 or negative) indicate movement independent of market risk.
Bullish: The count/rate of rising or limiting losses when the index drops sharply (e.g., < -0.5%). (Gold = Market Crash Leader).
Defended: The count/rate of holding support levels when the index shows mild weakness (e.g., < -0.05%). (Gold = Strong Accumulation).
Bench. Defense: The defense rate of the comparison benchmark (e.g., TSLA, ETH). Your target asset must be higher to be considered the sector leader.
Input Options & Settings Guide
You can optimize settings according to your trading style and asset class (Stocks/Crypto).
(1) Main Settings
Major Index: The baseline market index for comparison.
(US Stocks: NASDAQ:NDX or TVC:SPX / Crypto: BINANCE:BTCUSDT)
Benchmark Symbol: A competitor within the sector.
(e.g., Set NVDA when analyzing Semiconductor stocks).
Correlation Lookback: The lookback period for judging decoupling. (Default: 30)
Performance Lookback: The number of bars to calculate cumulative returns and defense rates. (Default: 60)
(2) Dashboard Thresholds
These settings define the criteria for what qualifies as "Defended" or "Bullish".
Performance (Max %): Used to find assets that haven't pumped yet. Signals trigger only when Alpha is below this value.
Defended Logic:
Index Drop Condition: The index must drop by at least this amount to start checking. (e.g., -0.05%)
Asset Buffer: How much the asset must outperform the index drop.
(Example: If Index drops -1.0% and Buffer is 0.2%, the asset must be at least -0.8% to count as 'Defended').
Bullish Logic: Measures resilience during steeper market dumps (e.g., -0.5% drop) compared to the Defended Logic.
Volume Settings: Decides whether to count Defended/Bullish instances only when accompanied by volume above the SMA.
(3) Signal Logic Settings (Crucial)
Customize conditions to trigger alerts. The choice between AND / OR is crucial.
AND: Condition must be met SIMULTANEOUSLY with other active conditions (Conservative/High Certainty).
OR: Condition triggers the signal INDEPENDENTLY (Aggressive/Opportunity Capture).
Performance: Is the relative performance within the threshold? (Basic Filter).
Decoupling: Has the correlation dropped? (Start of independent move).
Bullish Rate: Is the Bullish rate high during market dumps?
Defended Rate (High): (Recommended) Is there continuous price defense occurring? (Accumulation detection).
Defended Rate (Low): (Warning) Has the defense rate broken down? (For Stop Loss).
Defended > Benchmark: Is it stronger than the Benchmark (2nd tier)?
Volume Spike: Has volume surged compared to the average? (Institutional involvement).
RSI Oversold: Is it in oversold territory? (Counter-trend trading).
Decoupling Move: Does the current bar show the "Index Down / Asset Up" pattern?
Min USD Volume: Transaction value filter (To exclude low liquidity assets).
RSI Median DeviationRSI Median Deviation – Adaptive Statistical RSI for High-Probability Extremes
The Relative Strength Index (RSI) is a momentum oscillator developed by J. Welles Wilder in 1978 to measure the magnitude of recent price changes and identify potential overbought or oversold conditions. It calculates the ratio of upward to downward price movements over a specified period, scaled to 0-100. However, standard RSI often relies on fixed thresholds like 70/30, which can produce unreliable signals in varying market regimes due to their lack of adaptability to the actual distribution of RSI values.
This indicator was developed because I needed a reliable tool for spotting intermediate high-probability bottoms and tops. Instead of arbitrary horizontal lines, it uses the RSI’s own historical median as a dynamic centerline and measures how far the current RSI deviates from that median over a chosen lookback period. The main signals are triggered only at 2 standard deviation (2σ) extremes — statistically rare events that occur roughly 5 % of the time under a normal distribution. I selected 2σ because it is extreme enough to be meaningful yet frequent enough for practical trading. For oversold signals I further require RSI to be below 42, a filter that significantly improved results in my mean-reversion tests (enter on oversold, exit on the first bar the condition is no longer true).
The combination of percentile median + standard deviation bands is deliberate: the median is far more robust to outliers than a simple average, while the SD bands automatically adjust to the current volatility of the RSI itself, producing adaptive envelopes that work equally well in ranging and trending markets.
Underlying Concepts and Calculations
Base RSI: RSI = 100 − (100 / (1 + RS)), RS = average gain / average loss (default length 10).
Percentile Median: 50th percentile of the last "N" RSI values (default 28 = 4 weeks)
→ dynamic, outlier-resistant centerline.
Standard Deviation Bands: rolling stdev of RSI (default length 27 = = 4 weeks (almost))
→ bands = median ± 1σ / 2σ.
Optional Dynamic MA Envelopes: user-selectable moving average (TEMA, WMA, etc., default WMA length 37) for additional momentum context.
Trend Bias Coloring
Independent of the statistical extremes, the RSI line itself is colored green when above the user-defined Long Threshold (default 60) and red when below the Short Threshold (default 47). This provides an instant bullish/bearish bias overlay similar to classic RSI usage, without interfering with the main 2σ extreme signals.
Extremes are highlighted with background color (green for oversold 2σ + RSI<42, magenta for overbought 2σ) and small diamond markers for ultra-extremes (RSI <25 or >85).
Originality and Development Rationale
The indicator was built and refined through extensive testing on dozens of assets including major cryptocurrencies:
(BTC, ETH, SOL, SUI, BNB, XRP, TRX, DOGE, LINK, PAXG, CVX, HYPE, VIRTUAL and many more),
the Magnificent 7 stocks,, QQQ, SPX, and gold.
Default parameters were chosen to deliver consistent profitability in simple mean-reversion setups while maximizing Sortino ratio and minimizing maximum drawdown across this broad universe — ensuring the settings are robust and not overfitted to any single instrument or timeframe.
How to Use It
Ideal for swing / position trading on the 1h to daily charts (the same defaults work).
Oversold (high-probability long): RSI crosses below lower 2σ band AND RSI < 42
→ green background
→ enter long, exit the first bar the condition disappears.
Overbought (high-probability short): RSI crosses above upper 2σ band
→ magenta background
→ enter short, exit on opposite signal or at median. (Shorts were not tested, it's only an idea)
Use the green/red RSI line coloring for quick trend context and to avoid fighting strong momentum.
Always confirm with price action and manage risk appropriately.
This indicator is not a standalone trading system.
Disclaimer: This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Pivots + MAs ISRSPivots + MAs ISRS is a complete market-structure tool designed for traders who want clear institutional levels combined with trend confirmation from moving averages and Fibonacci zones.
This indicator helps you identify breakouts, pullbacks, and reversal points with much higher accuracy.
It combines the best of three worlds:
🔹 1. Advanced Pivot Points (Standard TV Engine)
Includes every major professional pivot type:
Traditional
Fibonacci
Woodie
Classic
DM
Camarilla
You can choose pivot anchors such as:
Daily, Weekly, Monthly, Quarterly, Yearly, and extended periods (2, 3, 5, and 10 years).
✔ Fully customizable colors
✔ Show/hide each level individually
✔ Dynamic labels (left or right)
✔ Works with intraday + extended sessions
🔹 2. Built-in Moving Averages
The indicator includes:
3 EMAs to measure trend direction and momentum
A 5-period SMA for micro-structure and scalping precision
Great for identifying confluences between trend direction + pivot levels.
🔹 3. FiboISRS Zones
Fibonacci-based zones designed to enhance price-reaction detection:
Retracement levels
Liquidity zones
Confluences with EMAs + Pivot Points
Perfect for spotting high-probability reversal areas.
🎯 What This Indicator Helps You Do
✔ See active institutional levels on any timeframe
✔ Detect real breakouts (not fakeouts) using Pivots + MAs
✔ Identify clean pullbacks into key zones
✔ Spot reactions at S1/S2/S3 or R1/R2/R3
✔ Keep your chart clean with minimal noise
Works extremely well on:
Crypto with solid liquidity
Major indices (SPX, NASDAQ, Dow)
Forex
Gold and commodities
🧠 Pro Tip
The highest-probability setups occur when price touches:
👉 A Pivot Level
👉 An EMA (20, 50, or 200)
👉 A FiboISRS zone
When these three overlap, the market often reacts strongly.
⚡ Creator
Indicator created by Ismael Robles (ISRS) to bring a clean, institutional-grade structure to everyday traders.
IV vs Realised Volatility (VIX/HV Comparator)VIX / HV Comparator – Implied vs Realised Volatility
This indicator compares Implied Volatility (IV) from a volatility index (VIX, India VIX, etc.) with the Realised / Historical Volatility (HV) of the current chart symbol.
It helps you see whether options are pricing volatility as rich or cheap relative to what the underlying is actually doing.
What it does
Pulls IV from any user-selected vol index symbol (e.g. CBOE:VIX for SPX, NSEINDIA:INDIAVIX for Nifty).
Calculates realised volatility from the chart’s price data using returns over a user-defined lookback.
Annualises HV so IV and HV are displayed on the same percentage scale, on any timeframe (intraday or higher).
Optionally shows an IV/HV ratio in a separate pane to highlight when options are rich or cheap relative to realised volatility.
How to read it
Main panel:
Orange line – Implied Volatility (IV) from your chosen vol index.
Aqua line – Realised / Historical Volatility (HV) of the current chart symbol.
Fill between lines:
Green shading -> IV > HV -> options are priced richer than what the underlying is currently realising.
Red shading -> HV > IV -> realised vol is higher than the options market is implying.
Sub-panel (optional):
IV / HV ratio
- Above 1 -> IV > HV (vol rich).
- Below 1 -> IV < HV (vol cheap).
- Horizontal guides (for example 1.2 / 0.8) help frame “significantly rich/cheap” zones.
A small label on the latest bar displays the current IV, HV and their difference in vol points.
Inputs (key ones)
IV Index Symbol – choose the volatility index that corresponds to your underlying (VIX, India VIX, etc.).
Realised Vol Lookback – number of bars used to compute HV (for example 20).
Trading Days per Year and Active Hours per Day – used for annualising HV so it stays consistent across timeframes.
IV Scale Factor – adjust if your IV index is quoted in decimals (0.15) instead of points (15).
Practical uses
Context for options trades – Quickly see if current IV is high or low relative to realised volatility when deciding on strategies (premium selling vs buying, spreads, hedges).
Vol regime analysis – Track shifts where HV starts to rise above IV (real stress building) or IV spikes far above HV (fear premium / insurance bid).
Cross-timeframe checks – Use on intraday charts for short-term trading context, or on daily/weekly charts for bigger picture vol regimes.
This tool is not a stand-alone signal generator. It is meant to be a volatility dashboard you combine with your usual price action, trend, and options strategy rules to understand how the options market is pricing risk vs what the underlying is actually delivering.
NHNL Breadth Scanner [BIG]═══════════════════════════════════════════════════════════════════════════════
NVENTURES NHNL BREADTH SYSTEM v2.0
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OVERVIEW
The NVentures NHNL Breadth System is an institutional-grade market breadth analysis framework designed for equity traders, portfolio managers, and market technicians who require comprehensive internal market structure visibility beyond price action alone. This system integrates New Highs - New Lows (NHNL) data across multiple exchanges with participation breadth metrics to identify market regime shifts, thrust conditions, divergences, and rotation dynamics between large-cap and small-cap equities.
Version 2.0 introduces the Participation Breadth Module , which monitors the percentage of stocks above their 50-day moving averages across S&P 500, Russell 2000, and NASDAQ 100 indices. This extension enables detection of Risk-On/Risk-Off rotations and narrow rally conditions—critical information for portfolio construction, sector allocation, and tactical hedging decisions.
The framework combines:
- Multi-exchange NHNL aggregation – NYSE, NASDAQ, AMEX breadth data integration
- McClellan Oscillator – Exponential moving average difference for trend momentum
- Thrust detection – Extreme breadth expansion/contraction identification
- Divergence analysis – Price vs. breadth non-confirmation patterns
- Participation breadth – Large-cap vs. small-cap rotation detection
- Composite signal scoring – Multi-factor quantitative breadth assessment
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CORE METHODOLOGY
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• NHNL Data Aggregation
The system retrieves daily New Highs and New Lows from three major U.S. exchanges:
- NYSE – INDEX:HIGN (New Highs), INDEX:LOWN (New Lows)
- NASDAQ – INDEX:HIGQ (New Highs), INDEX:LOWQ (New Lows)
- AMEX – INDEX:HIGA (New Highs), INDEX:LOWA (New Lows)
Users can toggle exchanges on/off to isolate specific market segments. All three exchanges are enabled by default for comprehensive market-wide breadth measurement.
Core Calculations :
- NHNL Raw = Total New Highs - Total New Lows
- NHNL % = (NHNL Raw / Total Issues) × 100
- NH/NL Ratio = New Highs / New Lows
These metrics quantify the internal strength or weakness of market advances/declines independent of price index levels.
• McClellan Oscillator
The McClellan Oscillator applies exponential moving average (EMA) logic to NHNL data:
Formula: McClellan Osc = EMA(NHNL, Fast) - EMA(NHNL, Slow)
Default parameters: Fast = 19, Slow = 39
Interpretation :
- Positive values = Breadth momentum favors bulls (more issues making new highs)
- Negative values = Breadth momentum favors bears (more issues making new lows)
- Zero-line crosses = Regime change signals (bullish above, bearish below)
- Extreme readings (>±100) = Overbought/oversold breadth conditions
The McClellan Oscillator is a standard institutional breadth tool used by market technicians since the 1960s. It smooths daily NHNL volatility while maintaining responsiveness to trend changes.
• Thrust Detection
Thrust conditions identify extreme breadth expansion or contraction that historically precedes sustained directional moves:
Bullish Thrust :
- NHNL % > Threshold (default +40%)
- Sustained for Confirmation Bars (default 2 bars)
- Context : Extreme positive breadth expansion. Historically associated with major rally initiations or continuation thrusts.
Bearish Thrust :
- NHNL % < -Threshold (default -40%)
- Sustained for Confirmation Bars (default 2 bars)
- Context : Extreme negative breadth contraction. Historically associated with panic selling, capitulation events, or major downtrend acceleration.
Thrust conditions are the highest-priority signals in the framework and override other conflicting indicators.
• Divergence Detection
The system identifies non-confirmation patterns between price action and breadth:
Bullish Divergence :
- Price makes lower low
- NHNL % makes higher low
- Context : Selling pressure exhausting despite lower prices. Potential reversal signal as fewer stocks participate in decline.
Bearish Divergence :
- Price makes higher high
- NHNL % makes lower high
- Context : Rally losing internal momentum despite higher prices. Potential reversal signal as fewer stocks participate in advance.
Divergences use pivot detection with configurable lookback periods (default 50 bars) and pivot strength (default 5 bars). Visual divergence lines are drawn directly on the price chart when detected.
• Participation Breadth Module (NEW in v2.0)
This module monitors the percentage of stocks trading above their 50-day moving average across three major indices:
- S&P 500 – INDEX:S5FI (Large-cap participation)
- Russell 2000 – INDEX:R2FI (Small-cap participation)
- NASDAQ 100 – INDEX:NDFI (Tech-cap participation)
Rotation Spread Calculation :
Rotation Spread = Russell 2000 % Above 50D - S&P 500 % Above 50D
Interpretation :
- Positive Spread (>+10%) = Risk-On Rotation
Small caps outperforming large caps. Broad market participation. Risk appetite expanding.
- Negative Spread (<-10%) = Risk-Off Rotation
Large caps outperforming small caps. Narrow rally / defensive positioning. Flight to quality or concentration risk.
- Neutral (-10% to +10%) = Balanced market, no clear rotation
This spread identifies critical regime changes between broad market participation (healthy) and narrow leadership (fragile). Risk-On rotations typically occur during economic expansion phases; Risk-Off rotations occur during uncertainty, recession fears, or late-cycle conditions.
• Composite Signal Score
The framework generates a quantitative breadth score (-100 to +100) by weighting five components:
1. Thrust Score (±40 points) – Active thrust condition
2. Trend Score (±30 points) – McClellan Oscillator above/below zero
3. Momentum Score (±20 points) – NHNL % magnitude
4. Ratio Score (±10 points) – NH/NL Ratio extremes
5. Participation Score (±15 points) – Risk-On/Risk-Off regime + participation health
The composite score is smoothed (EMA 5) and classified into five breadth states:
- +50 to +100 = Strong Bull
- +20 to +50 = Bullish
- -20 to +20 = Neutral
- -50 to -20 = Bearish
- -100 to -50 = Strong Bear
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SIGNAL HIERARCHY & PRIORITY
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The indicator generates multiple signal types with distinct priority levels:
Priority 1: Thrust Signals (Highest conviction)
- Green triangle below bar = Bullish Thrust (40%+ breadth expansion)
- Red triangle above bar = Bearish Thrust (40%+ breadth contraction)
- Chart background highlighted in green/red during active thrust
Priority 2: Rotation Signals (Regime identification)
- Cyan diamond below bar = Risk-On Rotation (small caps outperforming)
- Orange diamond above bar = Risk-Off Rotation (large caps outperforming)
- Chart background highlighted in cyan/orange during active rotation
Priority 3: Divergence Signals (Reversal warnings)
- Green label below bar = Bullish Divergence (price/breadth non-confirmation)
- Red label above bar = Bearish Divergence (price/breadth non-confirmation)
- Dashed lines connect divergence pivot points on price chart
Priority 4: Zero-Line Cross (Trend changes)
- Small circle below bar = McClellan crossing above zero (breadth turning positive)
- Small circle above bar = McClellan crossing below zero (breadth turning negative)
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VISUAL COMPONENTS
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• Comprehensive Information Panel
The top-right dashboard (position customizable) displays:
Section 1: Raw NHNL Data
- Total New Highs (green)
- Total New Lows (red)
- Exchange breakdown (NYSE, NASDAQ, AMEX) with individual deltas
Section 2: Core Metrics
- NHNL % with visual indicator (🔥 for thrusts, arrows for direction)
- NH/NL Ratio with strength bars
- McClellan Oscillator with directional arrows
Section 3: Participation Breadth (NEW)
- S&P 500 % above 50D MA with trend arrow
- Russell 2000 % above 50D MA with trend arrow
- NASDAQ 100 % above 50D MA with trend arrow
- Rotation Spread with regime icon (🚀 Risk-On, 🛡️ Risk-Off)
Section 4: Composite Assessment
- Signal Score (-100 to +100) with visual strength bars
- Market Status (large text): BULLISH THRUST, BEARISH THRUST, RISK-ON ROTATION, RISK-OFF ROTATION, or breadth state classification
• Chart Overlays
- Background color-coding for active regimes (thrust, rotation, extreme readings)
- Signal markers (triangles, diamonds, circles, labels) at key inflection points
- Divergence lines connecting pivot highs/lows on price chart
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KEY FEATURES
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- Multi-exchange breadth aggregation – NYSE, NASDAQ, AMEX with individual on/off toggles
- Institutional McClellan Oscillator – Standard market breadth momentum tool
- Automated thrust detection – Identifies extreme breadth conditions with confirmation logic
- Price-breadth divergence scanning – Non-confirmation pattern detection with visual lines
- Participation breadth integration – Risk-On/Risk-Off rotation detection via large-cap vs. small-cap analysis
- Composite signal scoring – Quantitative multi-factor breadth assessment
- No repainting – All signals confirm on bar close
- Comprehensive alerting – 12+ alert conditions for thrust, divergence, rotation, and confluence events
- Fully customizable parameters – EMA periods, thresholds, lookbacks, visual settings
- Professional dashboard – Real-time metrics with color-coded status indicators
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HOW TO USE
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1. Apply to any chart – The indicator pulls multi-security data; chart symbol does not matter (commonly applied to SPY, SPX, or QQQ for reference)
2. Monitor the dashboard :
• Focus on Market Status (bottom row) for current regime
• Check NHNL % and McClellan for breadth direction and momentum
• Watch Rotation Spread for large-cap vs. small-cap dynamics
• Review Signal Score for composite breadth strength
3. Interpret thrust signals (highest priority):
• Bullish Thrust → Major rally initiation or continuation likely. Consider adding long exposure or reducing hedges.
• Bearish Thrust → Major decline or capitulation event likely. Consider reducing exposure or adding hedges.
• Historical context: Thrust signals are rare (2-5 per year) but highly reliable for significant market moves.
4. Interpret rotation signals (regime identification):
• Risk-On Rotation → Broad market participation. Small caps outperforming. Healthy advance. Favor cyclical sectors, higher beta names.
• Risk-Off Rotation → Narrow rally or defensive positioning. Large caps outperforming. Caution—market leadership concentrating. Favor quality, defensives.
5. Interpret divergence signals (reversal warnings):
• Bullish Divergence → Selling exhaustion. Potential bottom formation. Wait for confirmation (zero-line cross, thrust) before aggressive positioning.
• Bearish Divergence → Rally losing momentum. Potential top formation. Consider profit-taking or hedging.
6. Combine signals for maximum conviction :
• Bull Confluence : Bullish Thrust + Risk-On Rotation + Positive McClellan = Maximum bullish alignment
• Bear Confluence : Bearish Thrust + Risk-Off Rotation + Negative McClellan = Maximum bearish alignment
• Alert system specifically flags these high-conviction confluences
7. Configure parameters for your style :
• Thrust Threshold : Default 40% catches major moves. Increase to 50%+ for extreme-only signals.
• Rotation Threshold : Default 10% spread. Tighten to 7.5% for earlier rotation detection.
• Divergence Lookback : Default 50 bars. Extend to 100+ for longer-term divergences.
8. Use alerts for proactive monitoring :
• Set TradingView alerts for Thrust, Rotation, Divergence, and Confluence conditions
• Receive notifications when critical breadth regime changes occur
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LIMITATIONS
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- U.S. equity markets only – NHNL data limited to NYSE, NASDAQ, AMEX. Does not cover international markets or other asset classes.
- Daily timeframe only – NHNL data is reported daily. Intraday trading requires alternative breadth measures.
- Lagging in fast reversals – McClellan Oscillator and participation metrics use EMAs, introducing lag during rapid regime shifts. Thrust signals respond faster but require extreme conditions.
- Equal-weighting assumption – All stocks within NHNL counts are equally weighted. Large-cap-dominated rallies (e.g., FANG-led advances) may show strong price performance despite mediocre breadth.
- False positives in sideways markets – Divergence signals can produce false positives during extended consolidation phases. Require confirmation from thrust or rotation signals.
- Participation data quality – S5FI, R2FI, NDFI data from TradingView may have occasional gaps or delays. Indicator includes data validation logic and falls back gracefully when data unavailable.
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TECHNICAL SPECIFICATIONS
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- Pine Script v5
- Non-repainting (signals confirmed on bar close)
- Multi-security data feeds (6 NHNL tickers + 3 participation tickers)
- Maximum 500 lines supported (divergence line drawing)
- Real-time dashboard table with 20+ rows
- 12+ alert conditions (thrust, divergence, rotation, ratio extremes, confluence)
- Fully customizable colors, thresholds, and visual elements
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NOTES
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This indicator is designed for experienced equity traders, portfolio managers, and market technicians familiar with:
- Market breadth analysis and internal market structure
- McClellan Oscillator interpretation
- New High - New Low dynamics and their correlation with market cycles
- Large-cap vs. small-cap rotation patterns
- Risk-On/Risk-Off regime identification
The framework provides objective breadth signals but does not account for:
- Fundamental catalysts (earnings, economic data, Fed policy)
- Sector-specific dynamics (may show broad weakness while certain sectors thrive)
- International market correlations
- Volatility regime changes (VIX dynamics)
Best used in combination with:
- Price action analysis (support/resistance, chart patterns)
- Volume analysis (accumulation/distribution)
- Volatility indicators (VIX, put/call ratios)
- Sentiment indicators (survey data, positioning)
Market breadth is a leading indicator of internal market health. Divergences between price and breadth often precede major reversals by weeks or months.
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Developed for institutional market breadth analysis based on New Highs - New Lows methodology with extended participation breadth integration.
BIG Options Strategy Regime Scanner═══════════════════════════════════════════════════════════════════════════════
BIG OPTIONS STRATEGY REGIME SCANNER
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OVERVIEW
The BIG Options Strategy Regime Scanner is a quantitative regime detection framework designed to identify optimal entry conditions for directional and convexity-based options strategies. This indicator analyzes market structure (trend), volatility environment (VIX), and momentum (RSI) to classify markets into distinct trading regimes and signal appropriate options deployment strategies.
The indicator was developed specifically for systematic options traders who require objective, rule-based regime identification rather than discretionary interpretation. It integrates institutional volatility metrics with technical momentum filters to produce high-probability entry signals for three core strategies: Call Tail Convexity , Put Tail Convexity , and Bull Put Income .
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CORE METHODOLOGY
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• Regime Detection Logic
The indicator operates on a three-factor regime classification system:
1. Trend Filter – Identifies directional bias using SMA 200 as the primary trend delimiter. Position relative to this level determines bull/bear regime classification.
2. Volatility Environment – Uses VIX (CBOE Volatility Index) thresholds to categorize market conditions:
• Low Vol: VIX < 17 (favors premium buying / convexity strategies)
• Mid Vol: VIX 17-22 (transition zone, tactical income strategies)
• High Vol: VIX ≥ 22 (risk-off, defensive positioning)
3. Momentum Confirmation – RSI(14) provides tactical entry timing to avoid premature signals and improve entry quality.
• Strategy Deployment Rules
Call Tail Entry (Bull Convexity)
Triggers when:
- Close > SMA 200 (bull trend confirmed)
- VIX < 17 (low volatility, cheap premium)
- RSI < 45 (tactical pullback for entry)
Context : This regime identifies periods where upside convexity is underpriced. Appropriate for OTM call buying or call spreads designed to capture trend acceleration during low-vol environments.
Put Tail Entry (Bear Convexity)
Triggers when:
- Close < SMA 200 (bear trend confirmed)
- VIX < 17 (low volatility, cheap premium)
- RSI > 65 (tactical bounce for entry)
Context : Signals opportunities to buy downside protection or OTM puts during complacent market conditions. Designed for convexity-seeking traders anticipating volatility expansion in bearish structures.
Bull Put Income
Triggers when:
- Close > SMA 200 (bull trend confirmed)
- VIX 17-20 (mid-range volatility, elevated premium)
- Close > SMA 50 (short-term strength)
Context : Identifies favorable conditions for selling OTM put spreads or cash-secured puts. Targets premium collection in constructive markets with sufficient volatility to generate income but not excessive tail risk.
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VISUAL COMPONENTS
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• Chart Signals
- Purple Triangle (below bar) = Call Tail Entry
- Red Triangle (above bar) = Put Tail Entry
- Green Triangle (below bar) = Bull Put Income
• Background Coloring
Chart background dynamically highlights active signals with semi-transparent overlays:
- Purple = Call Tail active
- Red = Put Tail active
- Green = Bull Put Income active
• Strategy Table
Top-right table displays real-time strategy status:
- Strategy name
- Condition Met (✅/❌)
- Color-coded for quick visual scan
• Moving Averages
- SMA 50 (Orange) – Short-term trend filter
- SMA 200 (Blue) – Primary trend delimiter
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KEY FEATURES
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- Multi-timeframe flexibility – Works on Daily, 4H, 1H timeframes for different deployment horizons
- No repainting – All signals confirm on bar close
- Institutional volatility integration – Uses VIX directly from CBOE data feed
- Clean visual hierarchy – Minimal clutter, maximum signal clarity
- Regime-aware strategy allocation – Matches strategy type to market environment
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HOW TO USE
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1. Apply to target underlying – Works on indices (SPX, NDX, RUT), equity ETFs (SPY, QQQ, IWM), or individual equities with liquid options markets.
2. Monitor regime table – Top-right table shows which strategies are currently valid based on real-time conditions.
3. Execute on signal confirmation – When triangle appears + table shows ✅, deploy corresponding options strategy.
4. Timeframe considerations :
• Daily = Swing options (30-60 DTE typical)
• 4H = Shorter-duration tactical (14-30 DTE)
• 1H = Ultra-short-term (0-7 DTE, requires precision execution)
5. Combine with position sizing rules – This indicator identifies when to deploy strategies, not how much . Use appropriate risk management and position sizing frameworks.
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LIMITATIONS
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- VIX dependency – Signals are calibrated for US equity volatility regimes. May require recalibration for other asset classes.
- No options-specific calculations – This indicator identifies favorable regimes but does not calculate Greeks, IV percentile, or specific strike selection. Traders must perform their own options analysis.
- Trend-following bias – The 200-day SMA filter creates a structural bias toward trend-following systems. May underperform in mean-reverting, range-bound markets.
- Signal frequency – Depending on market conditions, signals may be infrequent. This is by design to maintain signal quality over quantity.
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TECHNICAL SPECIFICATIONS
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- Pine Script v5
- Non-repainting (signals confirmed on close)
- Multi-security data feed (VIX via request.security() )
- Maximum 500 labels supported
- Real-time table updates with color-coded status indicators
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NOTES
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This indicator is designed as a decision-support tool for experienced options traders. It provides objective regime classification and timing signals but does not constitute financial advice or a complete trading system. Always perform independent analysis and risk assessment before deploying options strategies.
Appropriate for traders familiar with:
- Volatility term structure
- Options Greeks and pricing dynamics
- Position construction (spreads, naked positions, hedged structures)
- Capital allocation and risk management
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Developed for systematic options deployment based on quantitative regime detection.
Prev Day ±1% BoundaryThis indicator plots dynamic intraday price bands based on the previous day’s close. It calculates a reference price using yesterday’s daily close and draws:
An upper boundary at +1% above the previous close
A lower boundary at –1% below the previous close
These levels are shown as horizontal lines across all intraday bars, with an optional shaded zone between them.
How to use:
Use the boundaries as intraday reference levels for potential support, resistance, or mean-reversion zones.
When price trades near the upper band, it may indicate short-term extension to the upside relative to the prior close.
When price trades near the lower band, it may indicate short-term extension to the downside.
The shaded region between the lines highlights a ±1% normal fluctuation zone around the previous day’s closing price.
This tool is especially useful for intraday traders on indices like SPX, providing quick visual context for how far price has moved relative to the prior session’s close.
Smart Risk Meter (Adaptive v2)How it works
The Smart Risk Meter reads momentum, distance from the long-term trend, and drawdown pressure, then adapts those signals to the asset’s volatility. Low-vol assets get tighter scaling, high-vol assets get wider scaling, so the 0–1 risk score stays meaningful on anything from SPX to BTC.
How to use it
• 0.0–0.4: Accumulation zone. Market is calm or recovering — ideal for building positions.
• 0.4–0.6: Neutral. Trend can go either way — manage sizing.
• 0.6–0.8: Elevated risk. Momentum is stretched — tighten stops or reduce exposure.
• 0.8–1.0: Overheated. High risk of sharp pullbacks — avoid chasing.
Use it as a bias filter, a DCA timing tool, or a simple risk-on/risk-off read. It won’t predict tops or bottoms, but it keeps you aligned with the market’s temperature.
SHUBHAM 50000 ULTRA OPTIONSHUBHAM 50000 ULTRA OPTION
OptionFlow Pro: Smart Money & Anomaly Detection Indicator
Tagline: Don't just follow the flow. Understand it.
Core Concept:
OptionFlow Pro is an advanced, real-time market scanner and visual indicator that transforms raw options chain data into actionable trading intelligence. It goes beyond simple volume and open interest by identifying Unusual Options Activity (UOA), tracking Sweep Orders, and calculating the Volume-Weighted Put/Call Ratio to highlight where institutional "smart money" is placing its bets.
Key Features for Traders:
Unusual Activity & Sweep Detector:
What it does: Scans every tick for orders that significantly deviate from normal trading patterns—large block trades executed at the ask (for calls) or bid (for puts), and "sweep" orders that clean out multiple price levels instantly.
Trader Benefit: Pinpoints potential breakout or breakdown candidates before major moves occur in the underlying stock. Alerts you to aggressive, high-conviction buying or selling that retail traders often miss.
Volume-Weighted Put/Call Ratio (with Trend):
What it does: Calculates the put/call ratio not just by volume, but by the premium spent. A high premium-weighted put/call ratio shows bears are putting serious money behind their bets, making it a stronger signal.
Trader Benefit: Offers a more nuanced view of market sentiment than standard PCR. Helps gauge extreme fear (potential oversold bounce) or complacency (overbought top) in a specific stock or index (SPX/SPY).
Max Pain & Gamma Exposure (GEX) Visualizer:
What it does: Dynamically calculates the "Max Pain" strike (where option sellers face minimal losses) and estimates Gamma Exposure levels. Visual overlays on the chart show key pin levels and large gamma walls.
Trader Benefit: Identifies potential price magnets for weekly/monthly expiry. Understand where hedging activity by market makers may amplify volatility (negative gamma) or suppress it (positive gamma), aiding in entry/exit planning.
Implied Volatility (IV) Rank & Skew Analysis:
What it does: Compares current IV to its historical range (IV Rank) and visualizes the volatility smile/skew across strikes. Highlights expensive vs. cheap option premiums.
Trader Benefit: Empowers you to sell overpriced volatility (high IV Rank) and buy underpriced volatility (low IV Rank). Skew anomalies can signal asymmetric risk/reward opportunities or market fears about a sharp directional move.
Customizable Alerts & Heatmaps:
What it does: Set alerts for specific UOA criteria, PCR spikes, or IV changes. The platform-wide heatmap aggregates flow data across all symbols to show sector-level money movement.
Trader Benefit: Saves hours of manual scanning. Focus only on the setups that match your strategy (e.g., "Alert me for any $1M+ call sweeps in tech stocks").
Who Is It For?
Active Options Traders & Scalpers: Find high-probability directional plays with institutional confirmation.
Hedgers & Portfolio Managers: Identify tail-risk hedging activity and gauge overall market dealer positioning.
Volatility Traders: Precisely time entries for strangles, straddles, or iron condors based on IV regime and gamma.
Swing Traders & Technical Analysts: Confirms or diverges from classic chart patterns (e.g., breakout with strong call flow = higher conviction).
Why It's Different:
Most indicators look backward at price. OptionFlow Pro looks forward at market structure, liquidity, and dealer hedging flows. It doesn't predict the future; it reveals the present positioning that will influence future price action.
Platform Integration: Available as a standalone web platform, a TradingView custom script, and a direct data feed into thinkorswim, Interactive Brokers, and other major brokerages.
Reversal WaveThis is the type of quantitative system that can get you hated on investment forums, now that the Random Walk Theory is back in fashion. The strategy has simple price action rules, zero over-optimization, and is validated by a historical record of nearly a century on both Gold and the S&P 500 index.
Recommended Markets
SPX (Weekly, Monthly)
SPY (Monthly)
Tesla (Weekly)
XAUUSD (Weekly, Monthly)
NVDA (Weekly, Monthly)
Meta (Weekly, Monthly)
GOOG (Weekly, Monthly)
MSFT (Weekly, Monthly)
AAPL (Weekly, Monthly)
System Rules and Parameters
Total capital: $10,000
We will use 10% of the total capital per trade
Commissions will be 0.1% per trade
Condition 1: Previous Bearish Candle (isPrevBearish) (the closing price was lower than the opening price).
Condition 2: Midpoint of the Body The script calculates the exact midpoint of the body of that previous bearish candle.
• Formula: (Previous Open + Previous Close) / 2.
Condition 3: 50% Recovery (longCondition) The current candle must be bullish (green) and, most importantly, its closing price must be above the midpoint calculated in the previous step.
Once these parameters are met, the system executes a long entry and calculates the exit parameters:
Stop Loss (SL): Placed at the low of the candle that generated the entry signal.
Take Profit (TP): Calculated by projecting the risk distance upward.
• Calculation: Entry Price + (Risk * 1).
Risk:Reward Ratio of 1:1.
About the Profit Factor
In my experience, TradingView calculates profits and losses based on the percentage of movement, which can cause returns to not match expectations. This doesn’t significantly affect trending systems, but it can impact systems with a high win rate and a well-defined risk-reward ratio. It only takes one large entry candle that triggers the SL to translate into a major drop in performance.
For example, you might see a system with a 60% win rate and a 1:1 risk-reward ratio generating losses, even though commissions are under control relative to the number of trades.
My recommendation is to manually calculate the performance of systems with a well-defined risk-reward ratio, assuming you will trade using a fixed amount per trade and limit losses to a fixed percentage.
Remember that, even if candles are larger or smaller in size, we can maintain a fixed loss percentage by using leverage (in cases of low volatility) or reducing the capital at risk (when volatility is high).
Implementing leverage or capital reduction based on volatility is something I haven’t been able to incorporate into the code, but it would undoubtedly improve the system’s performance dramatically, as it would fix a consistent loss percentage per trade, preventing losses from fluctuating with volatility swings.
For example, we can maintain a fixed loss percentage when volatility is low by using the following formula:
Leverage = % of SL you’re willing to risk / % volatility from entry point to exit or SL
And if volatility is high and exceeds the fixed percentage we want to expose per trade (if SL is hit), we could reduce the position size.
For example, imagine we only want to risk 15% per SL on Tesla, where volatility is high and would cause a 23.57% loss. In this case, we subtract 23.57% from 15% (the loss percentage we’re willing to accept per trade), then subtract the result from our usual position size.
23.57% - 15% = 8.57%
Suppose I use $200 per trade.
To calculate 8.57% of $200, simply multiply 200 by 8.57/100. This simple calculation shows that 8.57% equals about $17.14 of the $200. Then subtract that value from $200:
$200 - $17.14 = $182.86
In summary, if we reduced the position size to $182.86 (from the usual $200, where we’re willing to lose 15%), no matter whether Tesla moves up or down 23.57%, we would still only gain or lose 15% of the $200, thus respecting our risk management.
Final Notes
The code is extremely simple, and every step of its development is detailed within it.
If you liked this strategy, which complements very well with others I’ve already published, stay tuned. Best regards.
Fed Net Liquidity [Premium] [by Golman Armi]This indicator visualizes the USD Net Liquidity injected into the financial system by the Federal Reserve.
It is a fundamental macro-economic tool essential for understanding the underlying "fuel" driving risk assets such as the S&P 500 (SPX), Nasdaq (NDX), and Bitcoin (BTC).
Unlike many other liquidity scripts that incorrectly use Commercial Bank Assets (USCBBS), this script uses the Federal Reserve Total Assets (WALCL) to provide a mathematically accurate representation of Central Bank liquidity.
How It Works (The Formula)
Net Liquidity represents the actual cash available to the banking system for investment after government liabilities are subtracted. The formula used is:
NetLiquidity=WALCL−TGA−RRP
Where:
WALCL (Fed Balance Sheet): The total assets held by the Federal Reserve (The source of money printing).
TGA (Treasury General Account - WTREGEN): The checking account of the US Government. When the TGA goes up, money is removed from the economy; when it goes down, money is spent into the economy.
RRP (Reverse Repo - RRPONTTLD): Cash parked by banks and money market funds at the Fed overnight. A rise in RRP removes liquidity from the markets.
Features
Accurate Data Sourcing: Pulls daily data directly from FRED (Federal Reserve Economic Data).
Unit Correction: Automatically adjusts conflicting units (Millions vs Billions) from TradingView data feeds to output a correct value in Trillions of Dollars.
Trend Cloud: Features a smoothing EMA (Exponential Moving Average) with a color-coded cloud to easily identify the macro trend (Green for expansion, Red for contraction).
How to Use
Trend Correlation:
Rising Line (Green): Liquidity is expanding. Historically, this supports bullish trends in stocks and crypto.
Falling Line (Red): Liquidity is being drained (QT or TGA refill). This often leads to volatility or bearish trends in risk assets.
Divergences (The most powerful signal):
If the S&P 500 or Bitcoin makes a New High, but Net Liquidity makes a Lower High, it indicates a "hollow rally" lacking fundamental support, often preceding a correction.
Disclaimer
This tool is for educational purposes and macro-economic analysis only. It is not financial advice.






















