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。
指標和策略
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.
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.
S&P 500 Breadth: Bull vs Bear (20DMA)S&P 500 Breadth: Bull vs Bear (20DMA)
Use as simple market breadth
Buy after 3 Red Candles - Close > Last Red Highthree red candles broken by one green candle, bullish signal
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
dual moving average crossover Erdal//@version=5
indicator("MA Cross Simple", overlay=true)
// Inputs
fastLen = input.int(10)
slowLen = input.int(100)
// Moving averages
fastMA = ta.sma(close, fastLen)
slowMA = ta.sma(close, slowLen)
// Plot
plot(fastMA, color=color.green)
plot(slowMA, color=color.red)
// Cross signals
bull = ta.crossover(fastMA, slowMA)
bear = ta.crossunder(fastMA, slowMA)
// Labels
if bull
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green)
if bear
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red)
MCX GOLD1! SpotHelps convert MCX gold rolling contract symbol to spot price.
Note: It cant accurately infer the contract role date, so it makes some assumptions, use the rolldays to adjust where needed
ATR Volatility HistogramATR Volatility Histogram showing result as coloured histogram where Rising > Greenand Fallig < Red. Input can be varied in settings.
Dynamic `request` demoPublish a new script-This should help people to make better analysis of the market
PinkSlips Sauce IndicatorChecklist v4PinkSlips’ personal checklist assistant for catching clean trend moves.
It stacks EMAs (20/50/200), checks RSI strength, filters chop with ATR, then prints a simple YES/NO checklist so you know when the sauce is actually there.
What it does
EMA trend filter (bullish / bearish structure)
RSI confirmation for high-probability longs & shorts
ATR chop filter so you avoid dead zones
On-chart checklist box: trend up/down, ATR OK, long/short ready, last signal
Optional LONG/SHORT labels on the candles for execution
Use this as your pre–entry checklist so you stop forcing trades and only take the clean PinkSlips setups.
Daily Anchored VWAPAnchors VWAP to whatever time you want instead of the usual start of session. I use it for BTC so that I can anchor around NY open instead of the night before.
DAS-Style RVOLDAS RVOL compares the current 1-minute volume to the average volume of that same minute over the past 14 trading days.
Example:
Current 10:00 AM 1-minute volume = 10M
Avg 10:00 AM 1-min volume over last 14 days = 1M
→ RVOL = 10.0 (or 1000%)
So this is time-of-day specific — not just average volume across the whole day.
MTF Slow Stochastic Buy/Sellcompare between 2 timeframe 1 minute and 3 minute, if both 1 and 3 minute time frame value %K is greater then %D then display BUY text.
if both timeframe value %D is greater then %K, display SELL text
SMA AreaSMA indicator modified to show as Area instead of plain indicating if this is under water or above water
Directional Movement Index - HistogramModified standard DMI to have histogram instead of standard lines
Futures Risk Manager Pro (v6 stable)This indicator will allow you to calculate your risk management per position.
You must first enter your capital and your risk percentage. Then, when you specify your stop-loss size in ticks, the indicator will immediately tell you the number of contracts to use to stay within your risk percentage.
Futures Risk Manager Pro (v6 stable)This indicator will allow you to calculate your risk management per position.
You must first enter your capital and your risk percentage. Then, when you specify your stop-loss size in ticks, the indicator will immediately tell you the number of contracts to use to stay within your risk percentage.
