FUSED 9.5 INSTITUTIONAL [FINAL] - AgTradezInstitutional style Indicator that gives you trend direction, MSS, with Tp levels and much more.
المؤشرات والاستراتيجيات
BTC Price Prediction Model [Global PMI]V2🇺🇸 English Guide
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
💡 Unique Insight: PMI & The 4-Year Cycle
A key distinguishing feature of this model is the hypothesis that Bitcoin's famous "4-Year Halving Cycle" may be intrinsically linked to the Global Business Cycle (PMI), rather than just supply shocks.
Therefore, the model incorporates PMI as a valuation "Amplifier".
Note: Due to TradingView data limitations, US PMI is currently used as the proxy for the global cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
7. Support Us ❤️
If you find this indicator useful, please Boost 👍, Comment, and add it to your Favorites! Your support keeps us going.
🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力,将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础,揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
💡 独家洞察:PMI 与 4年周期
本模型的一个核心独特之处在于:我们认为比特币著名的“4年减半周期”背后的真正驱动力,可能与全球商业周期 (PMI) 高度同步,而不仅仅是供应减半。
因此,模型特别引入 PMI 作为估值的“放大器” (Amplifier)。
注:由于 TradingView 数据源限制,目前采用历史数据最详尽的美国 PMI 作为全球周期的代理指标。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量(折算为美元)。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力,代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期(扩张 vs 收缩)来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲,但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源(M2, PMI)是月度更新的。标普500和算力是日度更新的。在日内图表(如15分钟、1小时、4小时)上使用此指标没有任何意义,因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标,旨在识别数月甚至数年的周期顶部和底部,而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用,不构成任何财务建议。该模型依赖于历史相关性,未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
Opcje: Sugestia Strike'ów (HV Based)How to interpret this script?
1. Dotted Lines:
Red (Upper): The price level above which the asset is statistically unlikely to rise within X days. This is where you look for a Strike Price to sell a CALL option (Short Call).
Green (Lower): The price level below which the asset is statistically unlikely to fall. This is where you look for a Strike Price to sell a PUT option (Short Put).
2. Sigma Multiplier (Important!):
The default setting is 2.0. This represents 2 Standard Deviations.
In a normal distribution, 2 standard deviations cover approximately 95% of outcomes.
This means you theoretically have a 95% probability that the option will expire worthless (meaning you keep the full premium), but the premium received will be lower.
If you change it to 1.0, you will be closer to the current price = higher premium, but the risk of assignment (exercise) increases to about 32%.
3. DTE (Days to Expiration):
Enter the actual number of days for the option you intend to sell (e.g., 45). The script will calculate where the price might be in 45 days based on current volatility.
ADX with 20 ThresholdI wanted an ADX with a threshold line so I created an indicator.
ADX (20 Threshold) Cheat-Sheet
Purpose: Filter trades by trend strength.
Indicator: ADX (derived from DMI) with optional +DI/−DI lines.
Key Rules:
ADX > 20: Trend is strong → trade OK
ADX < 20: Trend is weak/choppy → avoid trades
Optional +DI / −DI: Shows momentum direction
HTF Use: Stable trend confirmation
LTF Use: Optional filter with EMA slope for entries
Tips:
Combine with EMAs or MACD for directional bias.
ADX does not indicate direction, only strength.
Best used to avoid low-probability trades in sideways markets.
Global M2(USD) V2This indicator tracks the total Global M2 Money Supply in USD. It aggregates economic data from the world's four largest central banks (Fed, PBOC, ECB, BOJ). The script automatically converts non-USD money supplies (CNY, EUR, JPY) into USD using real-time exchange rates to provide a unified view of global liquidity.
Usage
Macro Analysis: Overlay this on assets like Bitcoin or the S&P 500 to see if price appreciation is driven by fiat currency debasement ("money printing").
Liquidity Trends: A rising orange line indicates expanding global liquidity (generally bullish for risk assets), while a falling line suggests monetary tightening.
Real-time Data: A label at the end of the line displays the exact raw total in USD for precise tracking.
该脚本旨在追踪以美元计价的全球 M2 货币供应总量。它聚合了四大央行(美联储、中国央行、欧洲央行、日本央行)的经济数据,并通过实时汇率将非美货币(人民币、欧元、日元)统一折算为美元,从而构建出一个标准化的全球流动性指标。
用法
宏观对冲: 将其叠加在比特币或股票图表上,用于判断资产价格的上涨是否由全球法币“大放水”推动。
趋势研判: 橙色曲线向上代表全球流动性扩张(通常利好风险资产),向下则代表流动性紧缩。
数据直观: 脚本会在图表末端生成一个标签,实时显示当前全球 M2 的具体美元总额。
MA + ATR Channel V2This script creates a dynamic volatility channel (similar to a Keltner Channel). It plots a central Moving Average (SMA or EMA) to represent the baseline trend and uses the Average True Range (ATR) to calculate the Upper and Lower bands. The channel automatically widens during high volatility and narrows during low volatility.
Usage
Mean Reversion: In sideways markets, prices touching the outer bands often tend to revert back to the central line.
该脚本构建了一个基于波动率的动态通道(类似肯特纳通道)。它以**移动平均线(SMA或EMA)为中轴判断趋势,并利用真实波幅(ATR)**计算通道宽度。通道范围会随市场波动加剧而变宽,随波动平缓而收窄。
用法
震荡回归: 在横盘行情中,价格触及通道边缘时,往往有回调至中轴的倾向。
Market Regime & Bias Assistant [Prototype v1.1]
Market Regime & Bias Assistant
### **Overview**
The **Market Regime & Bias Assistant** is an all-in-one trend filtration and trading system designed to keep traders on the right side of the market. Instead of relying on a single moving average, this indicator combines **ADX (Trend Strength)**, **Multi-Timeframe EMAs**, **RSI**, and **Volume Spread Analysis (VSA)** concepts to generate a quantitative "Confidence Score" for the current market bias.
It automatically adapts its settings based on your timeframe (Intraday vs. Swing) and provides clear visual cues via background shading, candle coloring, and a data panel.
---
### **Key Features**
* **Auto-Adaptive Modes:** Automatically switches between "Intraday" and "Swing" settings based on your timeframe.
* *Intraday:* Uses faster EMAs (Aggressive 9/30 or Conservative 20/50) and VWAP.
* *Swing:* Uses standard 20/50 EMAs with 200/800 long-term context moving averages.
* **Market Regime Detection:** Identifies if the market is in a **Trend (Bull/Bear)** or a **Range (Neutral)** using a combination of ADX thresholds and EMA alignment.
* **Confidence Scoring (0-100):** A proprietary algorithm that scores the quality of the trend based on RSI alignment, Volume confirmation, and Long-term EMA context.
* **Vector Volume Candles:** Color-coded candles to highlight institutional activity (High Volume) vs. Climactic Volume (Exhaustion).
* **Pullback Signals:** "L" and "S" markers indicating high-probability entries after a pullback into the EMA value zone.
* **Data Dashboard:** A bottom-right panel displaying the current Mode, Regime, Bias, and quantitative Confidence Score.
---
### **How to Read the Visuals**
#### **1. Background Colors (The Regime)**
* **Green Background:** Confirmed **Bullish Trend**. Only look for Longs.
* **Red Background:** Confirmed **Bearish Trend**. Only look for Shorts.
* **Gray Background:** **Neutral / Range**. The market is chopping or consolidating. Stand aside or trade strictly mean-reversion.
#### **2. Candle Colors (Vector Volume)**
* **Green/Red Borders:** Normal volume.
* **Blue / Fuchsia:** **High Volume (1.2x Average)**. Indicates institutional interest or a breakout.
* **Lime / Bright Red:** **Climactic Volume (1.8x Average)**. Indicates potential exhaustion or a stopping volume event.
#### **3. The EMAs**
* **Fast/Slow Lines:** Show the immediate trend direction.
* **Gray/White Lines:** The 200 and 800 EMAs. These act as major support/resistance levels and define the "Big Picture" bias.
* **Lime Line (Intraday Only):** The VWAP (Volume Weighted Average Price).
---
### **How to Use This Indicator**
**Step 1: Check the Regime**
Look at the background color and the Dashboard panel. Is the Trend Strength "Strong" or "Very Strong"?
* *Rule:* Do not take trend-following trades if the Regime is "Range/Neutral."
**Step 2: Check the Confidence**
The dashboard calculates a score from 0 to 100.
* **High Confidence (>67):** All systems go. Alignment of RSI, Volume, and Trend.
* **Medium Confidence (34-66):** Caution warranted. Usually implies divergence in RSI or low volume.
* **Low Confidence (<34):** The trend is weak or failing.
**Step 3: Wait for the Setup (The Arrows)**
The indicator looks for pullbacks into the "Value Zone" (the space between the Fast and Slow EMA).
* **Triangle Up (L):** Appears when price pulls back into the zone during a Bull trend, then bounces out with volume confirmation.
* **Triangle Down (S):** Appears when price rallies into the zone during a Bear trend, then rejects lower.
---
### **Settings & Customization**
* **Mode:** Default is "Auto," but you can force "Intraday" or "Swing" manually.
* **Intraday Style:** Choose between "Aggressive" (9 EMA / 30 EMA) for scalping or "Conservative" (20 EMA / 50 EMA) for day trading.
* **ADX Threshold:** Adjusts how strict the trend filter is (Default: 20).
* **Visual Toggles:** Turn off/on the Panel, Background shading, or Vector candles to clean up your chart.
### **Alerts**
This script comes with built-in alert conditions for:
1. **Bullish Regime Start**
2. **Bearish Regime Start**
3. **High-Confidence Setup Detected**
Squeeze Momentum OscillatorTitle: Squeeze Momentum Oscillator
Description: This indicator is a panel-based oscillator that separates market momentum from volatility, designed to spot high-probability breakouts using the classic TTM Squeeze logic.
How It Works: The indicator uses a "traffic light" system on the zero line to indicate volatility states, while the histogram shows the strength and direction of the trend.
1. The Dots (Volatility State): These dots tell you if the market is consolidating or trending.
🔴 Red Dot: Squeeze is ON. Bollinger Bands are inside Keltner Channels. Volatility is compressed. Do not trade; wait for the release.
🟢 Green Dot: Squeeze is OFF. Volatility is normal.
🟣 Fuchsia Dot: Bullish Breakout! The squeeze has fired to the upside and is confirmed by positive SMA momentum.
🔵 Blue Dot: Bearish Breakout! The squeeze has fired to the downside and is confirmed by negative SMA momentum.
2. The Histogram (Momentum): This measures the strength of the move using Linear Regression.
Light Green: Bullish momentum is increasing.
Dark Green: Bullish momentum is waning (caution).
Light Red: Bearish momentum is increasing.
Dark Red: Bearish momentum is waning (caution).
Settings & Features:
Momentum Filter: Breakout dots (Fuchsia/Blue) only appear if the 20-period SMA slope agrees with the breakout direction, filtering out weak fakeouts.
Customizable: Adjust lengths and multipliers for Bollinger Bands and Keltner Channels to tune sensitivity.
Toggle: You can turn the specific "Breakout Colors" on or off in the settings.
Credits: Based on the TTM Squeeze concept popularized by John Carter, utilizing Linear Regression for momentum and standard deviation/ATR comparisons for volatility. Fixed and optimized for TradingView Pine Script v6.
Squeeze & StructureTitle: Ultimate Squeeze & Market Structure
Description: This all-in-one trading system combines two of the most powerful concepts in technical analysis: Volatility Compression (The Squeeze) and Market Structure (SMC).
It is designed to solve the biggest problem breakout traders face: False Breakouts. By waiting for a Volatility Squeeze to release energy, and confirming it with a structural Break of Structure (BoS) or Change of Character (CHoCH), traders can identify high-probability setups with precision.
How It Works (The "Trifecta" Logic):
1. The Energy (The Squeeze): Using the classic TTM Squeeze logic, the indicator monitors the relationship between Bollinger Bands (price volatility) and Keltner Channels (average range).
Red Cloud: Volatility is compressed. The market is coiling like a spring. This is the Setup Phase.
Breakout: When price expands outside the bands, the energy is released.
2. The Structure (SMC & ZigZag): Built on a custom Non-Repainting ZigZag engine, the indicator objectively maps swing highs and lows to define the trend.
BoS (Break of Structure): Signals trend continuation. Price breaks a previous pivot in the direction of the trend.
CHoCH (Change of Character): Signals potential reversal. Price breaks a significant pivot in the opposite direction of the trend.
Ghost Line: A dotted line shows the live, developing leg of the ZigZag before it is confirmed, helping you anticipate the next pivot.
3. The Confluence (The Strategy): The most powerful signals occur when these two forces align.
Example: A Red Squeeze releases into a Bullish Breakout (Fuchsia Cloud), immediately followed by a Bullish CHoCH. This confirms that not only is volatility expanding, but the structural trend has officially reversed to the upside.
Visual Guide:
☁️ Cloud Colors (Volatility):
🟥 Red: Squeeze ON (Consolidation).
🟣 Fuchsia: Bullish Momentum Breakout.
🔵 Blue: Bearish Momentum Breakout.
🟡 Yellow: Armed/Waiting for Pullback (if Pullback mode is active).
⬜ Gray/Green: Normal Trending.
🏷️ Labels (Structure):
H / L: Confirmed Swing Highs and Lows.
BoS: Break of Structure (Trend Continuation).
CHoCH: Change of Character (Trend Reversal).
Features:
Dual Entry Modes: Choose between "Breakout" (immediate signal) or "Pullback" (waits for a retest of the midline).
Momentum Filter: Breakouts are only colored if the 20 SMA slope agrees with the direction.
Fully Customizable: Adjust ZigZag Sensitivity (Depth/Deviation), Squeeze lengths, and all colors.
Alerts: Triggers available for Squeeze Start, Breakouts, and Armed status.
Credits: This script incorporates concepts from the TTM Squeeze and standard Smart Money Concepts (SMC) market structure analysis. It uses a custom, non-repainting pivot detection algorithm to ensure historical accuracy.
BTC Price Prediction Model [Global PMI]🇨🇳 中文说明 (Chinese Version)
1. 简介
本指标由 GW Capital 使用 Gemini Vibe Coding 技术制作。利用先进的 AI 编程能力,将复杂的宏观经济模型重构为可执行的交易工具。
2. 致谢
特别感谢模型原作者 Marty Kendall。他对这一算法的研究奠定了基础,揭示了比特币价格与宏观经济因素之间的深层联系。
3. 模型原理与公式
该模型基于四大宏观经济支柱计算比特币的“公允价值”。它假设比特币的价格是全球流动性、网络安全性、风险偏好和经济周期的函数。
模型公式
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
全球流动性 (M2): 美、中、欧、日四大经济体的 M2 总量(折算为美元)。代表可流入资产的法币资金池。
网络安全性 (Hashrate): 比特币全网算力,代表网络的物理安全性和实用价值。
风险偏好 (S&P 500): 作为全球风险情绪的代理指标。
经济周期 (PMI Z-Score): 美国制造业 PMI 用于根据商业周期(扩张 vs 收缩)来放大或抑制估值。
4. 指标用法
指标会在图表上绘制 公允价值 (白线) 以及基于统计偏差 (Z-Score) 的四条情绪带。
情绪区间
🚨 极度贪婪 (红色区域): 价格 > +0.3 标准差。历史上通常预示市场顶部或情绪过热。
⚠️ 一般贪婪 (橙色区域): 价格 > +0.15 标准差。多头动能强劲,但需谨慎。
⚖️ 公允价值 (白线): 基于宏观数据的理论“正确”价格。
😨 一般恐惧 (青色区域): 价格 < -0.15 标准差。进入低估区域。
💎 极度恐惧 (绿色区域): 价格 < -0.3 标准差。历史上通常是代际级别的买入机会。
情绪评分 (0-100)
100: 极度贪婪 (顶部)
50: 公允价值
0: 极度恐惧 (底部)
5. 使用建议
周期: 仅限日线 (1D) 或周线 (1W)。
原因: 底层数据源(M2, PMI)是月度更新的。标普500和算力是日度更新的。在日内图表(如15分钟、1小时、4小时)上使用此指标没有任何意义,因为基本面数据不会变化得那么快。
长期视角: 这是一个宏观周期指标,旨在识别数月甚至数年的周期顶部和底部,而非用于日内交易。
6. 免责声明
本指标仅供教育和参考使用,不构成任何财务建议。该模型依赖于历史相关性,未来可能不再适用。所有交易均涉及风险。GW Capital 及制作者不对任何交易损失承担责任。
🇺🇸 English Guide (英文说明)
1. Introduction
This indicator was created by GW Capital using Gemini Vibe Coding technology. It leverages advanced AI coding capabilities to reconstruct complex macroeconomic models into actionable trading tools.
2. Credits
Special thanks to the original model author, Marty Kendall. His research into the correlation between Bitcoin's price and macroeconomic factors lays the foundation for this algorithm.
3. Model Principles & Formula
This model calculates the "Fair Value" of Bitcoin based on four key macroeconomic pillars. It assumes that Bitcoin's price is a function of Global Liquidity, Network Security, Risk Appetite, and the Economic Cycle.
The Formula
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
Global Liquidity (M2): Sum of M2 supply from US, China, Eurozone, and Japan (converted to USD). Represents the pool of fiat money available to flow into assets.
Network Security (Hashrate): Bitcoin's hashrate, representing the physical security and utility of the network.
Risk Appetite (S&P 500): Used as a proxy for global risk sentiment.
Economic Cycle (PMI Z-Score): US Manufacturing PMI is used to amplify or dampen the valuation based on where we are in the business cycle (Expansion vs. Contraction).
4. How to Use
The indicator plots the Fair Value (White Line) and four sentiment bands based on statistical deviation (Z-Score).
Sentiment Zones
🚨 Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
⚠️ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
⚖️ Fair Value (White Line): The theoretical "correct" price based on macro data.
😨 Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
💎 Extreme Fear (Green Zone): Price < -0.3 StdDev. Historically a generational buying opportunity.
Sentiment Score (0-100)
100: Maximum Greed (Top)
50: Fair Value
0: Maximum Fear (Bottom)
5. Usage Recommendations
Timeframe: Daily (1D) or Weekly (1W) ONLY.
Reason: The underlying data sources (M2, PMI) are updated monthly. The S&P 500 and Hashrate are daily. Using this indicator on intraday charts (e.g., 15m, 1h, 4h) adds no value because the fundamental data does not change that fast.
Long-Term View: This is a macro-cycle indicator designed for identifying cycle tops and bottoms over months and years, not for day trading.
6. Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. The model relies on historical correlations which may not hold true in the future. All trading involves risk. GW Capital and the creators assume no responsibility for any trading losses.
The Biz (ADX/DI/RSI Revised)This is an indicator that will help you trade the GEX, showing when price is trending hard, or about to reverse, and will guide you in picking direction and bias. (INDICATOR SLIGHTLY LAGS)
OTA ATR Stop BufferOTA ATR indicator calculates and displays the Daily Average True Range (ATR), and two customizable ATR percentage values in a clean table format. It provides values in ticks and points, helping traders set stop-loss buffers based on market volatility.
S&P 500 Breadth: Bull vs Bear (20DMA)S&P 500 Breadth: Bull vs Bear (20DMA)
Use as simple market breadth
OBV + WaveTrend Volume Scalper [GratefulFutures]This script is a combination script of three different strategies that provides buy and sell signals based on the change of volume with momentum confirmations.
Sources used:
This script relies on the outstanding scripts of the great script writer LazyBear: LazyBear
The following scripts were used in this publication:
1. A modified "On-Balance Volume Oscillator" modified from LazyBear's original script:
2. Wavetrend Oscillator with crosses, Author: LazyBear
3. Squeeze Momentum Oscillator, Author: LazyBear
This script functions based on the following criteria being true:
1. On balance volume oscillator turning from negative to positive (buy) or positive to negative (sell)
2. Squeeze Momentum value is increasing (buy) or decreasing (sell)
3. Wavetrend 1 (wt1) is greater than wavetrend 2 (wt2) (buy)/ Wavetrend 1 (wt1) is less than wavetrend 2 (wt2) (sell)
By combining these factors the indicator is able to signal exactly when net buying turns to net selling (OBV) and when this change is most advantageous to continue based on the momentum and price action of the underlying asset (SQMOMO and Wavetrend).
This allows you to pair volume and price action for a powerful tool to identify where price will reverse or continue providing exceptional entries for short term trades, especially when combined with other aspects such as support and resistance, or volume profile.
How to use:
Simply adjust the settings to your preference and read the given signals as generated.
Settings
There are multiple ways to tune the signals generated. It is set standard for my preferred use on a 1 minute chart.
OBV Oscillator Settings
The first 4 dropdowns in the Inputs section tune the On Balance Volume Oscillator (OBVO) portion of the indicator. You can choose if you want it to calculate based on close, open, high, low, or other value.
The most impactful in the entire settings is going to be the length and smoothing of the OBVO EMA. Making this number lower increasing the sensitivity to changes in volume, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (5-20) is reasonable for the OBVO EMA length. There is a separate smoothing factor titled OBV Smoothing Length and below that, OBV Smoothing Type , a value of (2) is standard with "SMA" for smoothing type with a value of between 2-10 being reasonable. You may also play with these values to see what you like for your trading style.
Wavetrend Settings
The next 3 options are to modify the wavetrend portion of the indicator. I do not modify these from standard, and feel that they work appropriately on all time frames at the following values: n1 length (10), n2 length (20), Wavetrend Signal SMA length (4)
Squeeze Momentum Settings
The following 5 options through the end modify the Squeeze momentum portion of the indicator. The only one that modifies the signals generated is the KC Length , Making this number lower increasing the sensitivity to changes in price action, making the signals come quicker but is more susceptible to quick fluctuations. A value of between (18-25) is reasonable for KC Length .
Style Setting
You may select if you want to see the buy and sell signals. The following 5 options Raw OBV Osc through Squeeze Momentum allow you to see where each specific requirement was met, posted as a vertical line, but for live use it is recommended to turn all of these vertical lines off and only use the buy and sell signals.
Time Frames:
While this script is most effective on shorter time frames (1 minute for scalping and daytrading) it is also viable to use it on longer timeframes, due to the nature of its components being independent of time frame.
Examples of use - (Green and red vertical lines are for visualization purpose and are not part of the script)
SPY 1 Minute (Factory Settings):
SPX 15 minutes (Factory Settings):
Considerations
This script is meant primarily for short term trading, trades on the basis of seconds to minutes primarily. While they can be a good indication of volume lining up with momentum, it is always wise to use them in combination with other factors such as support, resistance, market structure, volume levels, or the many other techniques out there...
As Always... Happy Trading.
-Not_A_Mad_Scientist (GreatfulFutures Trade University)
ROC Bot AlertsA rules-based momentum scalping framework for short-term index futures
This indicator is designed for traders who focus on fast-moving, intraday momentum opportunities—particularly on lower timeframes such as the 1-minute chart. It uses a structured combination of trend filters and short-term momentum tools to help identify potential continuation entries during active market conditions.
Core Concept
The tool evaluates price behavior relative to a dynamic trend line while measuring short-term rate-of-change and directional strength. When all components align, the indicator highlights moments where the market may be transitioning into or sustaining momentum in one direction. Conversely, when conditions deteriorate or momentum weakens, the indicator suppresses signals to reduce noise and avoid choppy environments.
This approach aims to provide buy/sell signals for scalping in trending or expanding-volatility conditions.
What the Indicator Uses
The system assesses several factors before confirming a potential momentum signal:
A dynamic trend filter to determine directional bias
A rate-of-change threshold to confirm short-term acceleration
A trend-strength component to avoid signals during low-energy or ranging conditions
A cooldown mechanism to prevent rapid, back-to-back signals in unsettled areas
Only when all conditions align does the indicator paint a long or short trigger on the chart.
Intended Use
This tool is best suited for:
- Active scalpers
- Intraday index futures traders (NQ, ES, GC, etc.)
- Short-duration momentum traders
- Traders who prefer clean, rules-based decision making
It is not designed for swing trading, long-term trend following, or counter-trend strategies.
How to Read the Signals
- Buy markers appear when trend, momentum, and strength all support upward continuation.
- Sell markers appear when these same factors align in the opposite direction.
- The 90-period trend line can be shown or hidden based on user preference, but it remains part of the decision framework internally.
- The user may optionally adjust the momentum threshold (ROC%) to suit different volatility environments.
Important Notes
Signals are generated only on completed bars.
As with all technical tools, this should be used alongside proper risk and trade management practices.
Buy after 3 Red Candles - Close > Last Red Highthree red candles broken by one green candle, bullish signal
GLOBAL M2 (USD)Global M2 Liquidity Index
This script calculates and visualizes the total M2 Money Supply of the world's four largest economies to provide a comprehensive view of global liquidity.
Features:
Data Sources: Aggregates M2 data from the United States (USD), China (CNY), Eurozone (EUR), and Japan (JPY).
Currency Conversion: Automatically converts all non-USD data into USD using real-time exchange rates (USDCNY, EURUSD, USDJPY).
Raw Data Output: Unlike standard indicators that abbreviate values (e.g., "96T"), this script outputs the full raw integer value. This ensures maximum precision for traders who need exact figures for correlation analysis or custom formulas.
Main Chart Overlay: Designed to be displayed on the main chart.
Usage Tip: Since the raw value is huge (approx. $96 Trillion USD), it is highly recommended to "Pin to Left Scale" or move it to a "New Pane Below" to avoid compressing your price action candles.
67 2.0Major Market Trading Hours
New York Stock Exchange (NYSE)
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
Nasdaq
Open: 9:30 AM (ET)
Close: 4:00 PM (ET)
Pre-Market: 4:00 AM – 9:30 AM (ET)
After Hours: 4:00 PM – 8:00 PM (ET)
London Stock Exchange (LSE)
Open: 8:00 AM (GMT)
Close: 4:30 PM (GMT)
Tokyo Stock Exchange (TSE)
Open: 9:00 AM (JST)
Lunch Break: 11:30 AM – 12:30 PM (JST)
Close: 3:00 PM (JST)
Hong Kong Stock Exchange (HKEX)
Open: 9:30 AM (HKT)
Lunch Break: 12:00 PM – 1:00 PM (HKT)
Close: 4:00 PM (HKT)
Dual TF Bearish Divergence (Working)//@version=6
indicator("Dual TF Bearish Divergence (Working)", overlay=true)
// ----------------- SIMPLE BEARISH DIVERGENCE FUNCTION -------------------
bearDiv(src, rsiLen, lookbackMin, lookbackMax) =>
r = ta.rsi(src, rsiLen)
ph = ta.pivothigh(src, lookbackMin, lookbackMin)
ph_rsi = ta.pivothigh(r, lookbackMin, lookbackMin)
ph2 = ph
ph2_rsi = ph_rsi
priceHH = not na(ph) and not na(ph2) and ph > ph2
rsiLH = not na(ph_rsi) and not na(ph2_rsi) and ph_rsi < ph2_rsi
barsOk = lookbackMin >= lookbackMin and lookbackMin <= lookbackMax
priceHH and rsiLH and barsOk
// ----------------- TF CALLS -------------------
b60 = request.security(syminfo.tickerid, "60", bearDiv(close, 14, 10, 15))
b240 = request.security(syminfo.tickerid, "240", bearDiv(close, 14, 10, 15))
dual = b60 and b240
// ----------------- PLOT -------------------
plotshape(dual, title="Dual Bear Div", style=shape.labeldown,
color=color.red, size=size.small, text="🔻BearDiv")
// ----------------- ALERT -------------------
alertcondition(dual, "Dual Bearish Div 60+240",
"Bearish Divergence on both 60m & 240m")
GOD MODE HUNT v2.0 — SCREENER ULTIME 2025test screener pour détecter les crypto basée sur des règles strict
tgpFibonacciLib_v2Library "tgpFibonacciLib_v2"
getFib(tf, ratio)
Parameters:
tf (string)
ratio (float)
getGoldenPocket(tf)
Parameters:
tf (string)
getMonthlyFib(ratio)
Parameters:
ratio (float)
getWeeklyFib(ratio)
Parameters:
ratio (float)
getYestFib(ratio)
Parameters:
ratio (float)






















