Mayer MultiplerThe โMayer Multipleโ is one of the most popular metrics and derives from the current price divided by the 200-day moving average (200-MA). The average value is 1.39, and historically, when it becomes equal to or greater than 2.4 it will retrace to under 1.5.
Simulations performed by Trace Mayer determined that in the past, the best long-term results were achieved by accumulating Bitcoin whenever the Mayer Multiple was below 2.4.
Since the simulations were based on historical data, they are purely educational and should not be the basis of any financial decision.
Credit:
bitcoinist.com
mayermultiple.info
Cari skrip untuk "bitcoin"
10/20 MA Cross-Over with Heikin-Ashi Signals by SchobbejakThe 10/20 MA Heikin-Ashi Strategy is the best I know. It's easy, it's elegant, it's effective.
It's particularly effective in markets that trend on the daily. You may lose some money when markets are choppy, but your loss will be more than compensated when you're aboard during the big moves at the beginning of a trend or after retraces. There's that, and you nearly eliminate the risk of losing your profit in the long run.
The results are good throughout most assets, and at their best when an asset is making new all-time highs.
It uses two simple moving averages: the 10 MA (blue), and the 20 MA (red), together with heikin-ashi candles. Now here's the great thing. This script does not change your regular candles into heikin-ashi ones, which would have been annoying; instead, it subtly prints either a blue dot or a red square around your normal candles, indicating a heikin-ashi change from red to green, or from green to red, respectively. This way, you get both regular and heikin ashi "candles" on your chart.
Here's how to use it.
Go LONG in case of ALL of the below:
1) A blue dot appeared under the last daily candle (meaning the heikin-ashi is now "green").
2) The blue MA-line is above the red MA-line.
3) Price has recently breached the blue MA-line upwards, and is now above.
COVER when one or more of the above is no longer the case. This is very important. You want to keep your profit.
Go SHORT in case of ALL of the below:
1) A red square appeared above the last daily candle (meaning the heikin-ashi is now "red").
2) The red MA-line is above the blue MA-line.
3) Price has recently breached the blue MA-line downwards, and is now below.
Again, COVER when one or more of the above is no longer the case. This is what gives you your edge.
It's that easy.
Now, why did I make the signal blue, and not green? Because blue looks much better with red than green does. It's my firm believe one does not become rich using ugly charts.
Good luck trading.
--You may tip me using bitcoin: bc1q9pc95v4kxh6rdxl737jg0j02dcxu23n5z78hq9 . Much appreciated!--
[Prod] SuperTrend with Stoploss+TrendZones - 1HHere, i'm using a SuperTrend (difference of moving averages) crossover strategy hybrid with stop-loss and trend-following to look at backtesting for the BCHUSD pair on the coinbase (GDAX) exchange.
Included in this script I've got some optimized parameters that seem to make a decent profit over ~35+ trades. The one thing that's bothering me here is that I get OCCASIONAL repaint issues with back-testing, but I can't figure out why for the life of me, because i'm using V3 in the start of the script. If someone could point out the mistake I may be making here , I feel like this could be a serious strategy to use against the BCHUSD pair on coinbase or other exchanges (with tuning of course).
I based this script off of with lots of modifications.
Trend LengthScript tries to capture the length of trends. It calculates an SMA and then determines the slope of the SMA using a simple momentum function. From there it counts bars from when the slope changed directions last. The lime green line is the count from when the slope changed. The yellow line is the average time of a trend. The white line is "trying" to capture the length of a full healthy pip running trend. Pick and SMA you like and then run through many currencies. I find that trends tend to be the same length. Not surprising as the markets are extremely correlated to each other. The trick is to find the most active pair for action. To do that look up my Pairs Range script.
Comments are welcome.
The Reaper WhistleThe Reaper Whistle is a high-precision RSI momentum system engineered for scalpers and intraday traders.
It combines a customizable RSI with a dynamic moving average signal line to detect micro-shifts in momentum, early reversals, and continuation setups with extreme speed.
The indicator includes five key zones used by liquidity and SMC-style traders:
โข Strong Sell (90) โ Extreme momentum exhaustion
โข Sell (80) โ Overextension area
โข TP Zone (50) โ Momentum balance / decision point
โข Buy (20) โ Discount area
โข Strong Buy (10) โ Extreme sell-side exhaustion
By tracking how RSI interacts with its MA inside these zones, traders can identify high-probability sniper entries on the 1m, 3m, and 5m charts.
โธป
โญ HOW IT WORKS (Quick Breakdown)
โข RSI Period: defines momentum sensitivity
โข MA Period: smooths RSI noise and clarifies direction shifts
โข MA Type: SMA, EMA, or WMA for different reaction speeds
โข Crossovers: show momentum flips or trend continuation
โข Zones: filter out weak signals and highlight only premium setups
โธป
โก STRATEGY EXAMPLES
1๏ธโฃ Liquidity Sweep Reversal (Most Powerful Setup)
Use case: Gold, NAS100, NQ, US30
1. Price sweeps a previous high/low
2. RSI spikes into Strong Sell (90) or Strong Buy (10)
3. RSI crosses its MA back inside the zone
4. Enter on candle confirmation
5. TP at the next imbalance, VWAP, or volume cluster
This setup catches V-shaped reversals and trap plays.
โธป
2๏ธโฃ Trend Continuation Pullback
Use case: Trending markets
1. Identify trend direction (EMA 200, structure, etc.)
2. Wait for RSI to pull back to the TP (50) zone
3. Watch for RSI crossing its MA in trend direction
4. Enter with trend
5. TP at previous swing high/low
This setup filters out weak pullbacks and catches clean momentum continuation.
โธป
3๏ธโฃ Breakout Confirmation
Use case: Range breakouts, opening range breaks
1. Price breaks a consolidation high/low
2. RSI holds above Sell (80) in uptrend or below Buy (20) in downtrend
3. RSI crosses its MA with momentum
4. Enter breakout
5. TP at HTF zone or liquidity target
Perfect for fast markets like NAS100 and Bitcoin.
โธป
4๏ธโฃ Divergence + Whistle Flip
Use case: Slow markets or pre-session moves
1. Look for bullish or bearish RSI divergence
2. Wait for RSI to cross the MA in direction of divergence
3. Enter once momentum confirms
4. TP at imbalance, FVG, or mid-range
This increases divergence accuracy dramatically.
โธป
๐ฅ RECOMMENDED SETTINGS
โข Scalping (1mโ3m):
โข RSI: 5
โข MA: 3
โข Type: EMA
โข Intraday 5mโ15m:
โข RSI: 7โ14
โข MA: 5
โข Type: SMA
โธป
โญ WHO ITโS BUILT FOR
โข Liquidity + SMC traders
โข Scalpers who need fast confirmation
โข Traders who want clean, simple entries
โข Beginners who want visual guidance
โข Professionals who want momentum precision
The Reaper Whistle is intentionally designed for speed, clarity, and reliability โ no clutter, no lag, just pure momentum read.
โ Created by TheTrendSniper (ChartReaper)
โWhen the market whispersโฆ the Reaper whistles.โ
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." โ Arthur C. Clarke
๐ SYSTEM OVERVIEW
The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets.
This script is the flagship implementation of the MPL (Magic Programming Language) projectโan open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms.
Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods.
๐งฌ WHAT IS ?
MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancyโthe art of treating code as a spellbook and the market as a chaotic entity to be tamed.
By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook.
๐ CONNECT WITH THE PROJECT:
If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order:
โข ๐ Official Project Site: hakanovski.github.io
โข ๐ MPL Source Code (GitHub): github.com
โข ๐จโ๐ป Developer Profile (LinkedIn): www.linkedin.com
๐ข THE ALGORITHM: 452 - 204 - 50
The inputs for this script are mathematically derived signatures of the intelligence governing the system:
1. THE PAIMON TREND (Gravity)
โข Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge).
โข Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset.
โข Price > Line: Bullish Domain.
โข Price < Line: Bearish Void.
2. THE ASTAROTH SIGNAL (Trigger)
โข Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Teslaโs 3rd Harmonic.
โข Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory.
3. THE VOLATILITY MATRIX (Scalp)
โข Origin: Based on the 9th Harmonic reduction.
โข Function: Creates a "Cloud" around the signal line to visualize market noise.
๐ก๏ธ THE MILON GATE (Matrix Filter)
Unique to this script is the "MILON Gate" toggle found in the settings.
โข โ๏ธ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise).
โข โฌ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter.
โ ๏ธ OPERATIONAL USAGE
โข Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts.
โข Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear.
Use this tool wisely. Risk responsibly. Let the harmonics guide your entries.
โ Hakan Yorganci
Technomancer & Full Stack Developer
BTC vs Russell2000Description
The BTC vs Russell2000 โ Weekly Cycle Map compares Bitcoinโs performance against the Russell 2000 (IWM) to identify long-term risk-on and risk-off market regimes.
The indicator calculates the BTC/RUT ratio on a weekly timeframe and applies a moving average filter to highlight macro momentum shifts.
White line: BTC/RUT ratio (Bitcoin relative strength vs small-cap equities)
Yellow line: Weekly SMA of the ratio (trend filter)
Green background: BTC outperforming โ macro bull regime
Red background: Russell 2000 outperforming โ macro bear regime
Halving markers: Visual reference points for Bitcoin market cycles
This tool is designed to help traders understand capital rotation between crypto and traditional markets, improve timing of macro entries, and visualize where Bitcoin stands within its broader cycle.
BTC Fear & Greed Incremental StrategyIMPORTANT: READ SETUP GUIDE BELOW OR IT WON'T WORK
# BTC Fear & Greed Incremental Strategy โ TradeMaster AI (Pure BTC Stack)
## Strategy Overview
This advanced Bitcoin accumulation strategy is designed for long-term hodlers who want to systematically take profits during greed cycles and accumulate during fear periods, while preserving their core BTC position. Unlike traditional strategies that start with cash, this approach begins with a specified BTC allocation, making it perfect for existing Bitcoin holders who want to optimize their stack management.
## Key Features
### ๐ฏ **Pure BTC Stack Mode**
- Start with any amount of BTC (configurable)
- Strategy manages your existing stack, not new purchases
- Perfect for hodlers who want to optimize without timing markets
### ๐ **Fear & Greed Integration**
- Uses market sentiment data to drive buy/sell decisions
- Configurable thresholds for greed (selling) and fear (buying) triggers
- Automatic validation to ensure proper 0-100 scale data source
### ๐ **Bull Year Optimization**
- Smart quarterly selling during bull market years (2017, 2021, 2025)
- Q1: 1% sells, Q2: 2% sells, Q3/Q4: 5% sells (configurable)
- **NO SELLING** during non-bull years - pure accumulation mode
- Preserves BTC during early bull phases, maximizes profits at peaks
### ๐ป **Bear Market Intelligence**
- Multi-regime detection: Bull, Early Bear, Deep Bear, Early Bull
- Different buying strategies based on market conditions
- Enhanced buying during deep bear markets with configurable multipliers
- Visual regime backgrounds for easy market condition identification
### ๐ก๏ธ **Risk Management**
- Minimum BTC allocation floor (prevents selling entire stack)
- Configurable position sizing for all trades
- Multiple safety checks and validation
### ๐ **Advanced Visualization**
- Clean 0-100 scale with 2 decimal precision
- Three main indicators: BTC Allocation %, Fear & Greed Index, BTC Holdings
- Real-time portfolio tracking with cash position display
- Enhanced info table showing all key metrics
## How to Use
### **Step 1: Setup**
1. Add the strategy to your BTC/USD chart (daily timeframe recommended)
2. **CRITICAL**: In settings, change the "Fear & Greed Source" from "close" to a proper 0-100 Fear & Greed indicator
---------------
I recommend Crypto Fear & Greed Index by TIA_Technology indicator
When selecting source with this indicator, look for "Crypto Fear and Greed Index:Index"
---------------
3. Set your "Starting BTC Quantity" to match your actual holdings
4. Configure your preferred "Start Date" (when you want the strategy to begin)
### **Step 2: Configure Bull Year Logic**
- Enable "Bull Year Logic" (default: enabled)
- Adjust quarterly sell percentages:
- Q1 (Jan-Mar): 1% (conservative early bull)
- Q2 (Apr-Jun): 2% (moderate mid bull)
- Q3/Q4 (Jul-Dec): 5% (aggressive peak targeting)
- Add future bull years to the list as needed
### **Step 3: Fine-tune Thresholds**
- **Greed Threshold**: 80 (sell when F&G > 80)
- **Fear Threshold**: 20 (buy when F&G < 20 in bull markets)
- **Deep Bear Fear Threshold**: 25 (enhanced buying in bear markets)
- Adjust based on your risk tolerance
### **Step 4: Risk Management**
- Set "Minimum BTC Allocation %" (default 20%) - prevents selling entire stack
- Configure sell/buy percentages based on your position size
- Enable bear market filters for enhanced timing
### **Step 5: Monitor Performance**
- **Orange Line**: Your BTC allocation percentage (target: fluctuate between 20-100%)
- **Blue Line**: Actual BTC holdings (should preserve core position)
- **Pink Line**: Fear & Greed Index (drives all decisions)
- **Table**: Real-time portfolio metrics including cash position
## Reading the Indicators
### **BTC Allocation Percentage (Orange Line)**
- **100%**: All portfolio in BTC, no cash available for buying
- **80%**: 80% BTC, 20% cash ready for fear buying
- **20%**: Minimum allocation, maximum cash position
### **Trading Signals**
- **Green Buy Signals**: Appear during fear periods with available cash
- **Red Sell Signals**: Appear during greed periods in bull years only
- **No Signals**: Either allocation limits reached or non-bull year
## Strategy Logic
### **Bull Years (2017, 2021, 2025)**
- Q1: Conservative 1% sells (preserve stack for later)
- Q2: Moderate 2% sells (gradual profit taking)
- Q3/Q4: Aggressive 5% sells (peak targeting)
- Fear buying active (accumulate on dips)
### **Non-Bull Years**
- **Zero selling** - pure accumulation mode
- Enhanced fear buying during bear markets
- Focus on rebuilding stack for next bull cycle
## Important Notes
- **This is not financial advice** - backtest thoroughly before use
- Designed for **long-term holders** (4+ year cycles)
- **Requires proper Fear & Greed data source** - validate in settings
- Best used on **daily timeframe** for major trend following
- **Cash calculations**: Use allocation % and BTC holdings to calculate available cash: `Cash = (Total Portfolio ร (1 - Allocation%/100))`
## Risk Disclaimer
This strategy involves active trading and position management. Past performance does not guarantee future results. Always do your own research and never invest more than you can afford to lose. The strategy is designed for educational purposes and long-term Bitcoin accumulation thesis.
---
*Developed by Sol_Crypto for the Bitcoin community. Happy stacking! ๐*
BTC Price Prediction Model [Global PMI]V2๐บ๐ธ 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.
๐ก 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
๐จ Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
โ ๏ธ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
โ๏ธ Fair Value (White Line): The theoretical "correct" price based on macro data.
๐จ Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
๐ 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 โค๏ธ
If you find this indicator useful, please Boost ๐, Comment, and add it to your Favorites! Your support keeps us going.
๐จ๐ณ ไธญๆ่ฏดๆ (Chinese Version)
1. ็ฎไป
ๆฌๆๆ ็ฑ GW Capital ไฝฟ็จ Gemini Vibe Coding ๆๆฏๅถไฝใๅฉ็จๅ
่ฟ็ AI ็ผ็จ่ฝๅ๏ผๅฐๅคๆ็ๅฎ่ง็ปๆตๆจกๅ้ๆไธบๅฏๆง่ก็ไบคๆๅทฅๅ
ทใ
2. ่ด่ฐข
็นๅซๆ่ฐขๆจกๅๅไฝ่
Marty Kendallใไปๅฏน่ฟไธ็ฎๆณ็็ ็ฉถๅฅ ๅฎไบๅบ็ก๏ผๆญ็คบไบๆฏ็นๅธไปทๆ ผไธๅฎ่ง็ปๆตๅ ็ด ไน้ด็ๆทฑๅฑ่็ณปใ
3. ๆจกๅๅ็ไธๅ
ฌๅผ
่ฏฅๆจกๅๅบไบๅๅคงๅฎ่ง็ปๆตๆฏๆฑ่ฎก็ฎๆฏ็นๅธ็โๅ
ฌๅ
ไปทๅผโใๅฎๅ่ฎพๆฏ็นๅธ็ไปทๆ ผๆฏๅ
จ็ๆตๅจๆงใ็ฝ็ปๅฎๅ
จๆงใ้ฃ้ฉๅๅฅฝๅ็ปๆตๅจๆ็ๅฝๆฐใ
๐ก ็ฌๅฎถๆดๅฏ๏ผPMI ไธ 4ๅนดๅจๆ
ๆฌๆจกๅ็ไธไธชๆ ธๅฟ็ฌ็นไนๅคๅจไบ๏ผๆไปฌ่ฎคไธบๆฏ็นๅธ่ๅ็โ4ๅนดๅๅๅจๆโ่ๅ็็ๆญฃ้ฉฑๅจๅ๏ผๅฏ่ฝไธๅ
จ็ๅไธๅจๆ (PMI) ้ซๅบฆๅๆญฅ๏ผ่ไธไป
ไป
ๆฏไพๅบๅๅใ
ๅ ๆญค๏ผๆจกๅ็นๅซๅผๅ
ฅ PMI ไฝไธบไผฐๅผ็โๆพๅคงๅจโ (Amplifier)ใ
ๆณจ๏ผ็ฑไบ TradingView ๆฐๆฎๆบ้ๅถ๏ผ็ฎๅ้็จๅๅฒๆฐๆฎๆ่ฏฆๅฐฝ็็พๅฝ PMI ไฝไธบๅ
จ็ๅจๆ็ไปฃ็ๆๆ ใ
ๆจกๅๅ
ฌๅผ
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
ๅ
จ็ๆตๅจๆง (M2): ็พใไธญใๆฌงใๆฅๅๅคง็ปๆตไฝ็ M2 ๆป้๏ผๆ็ฎไธบ็พๅ
๏ผใไปฃ่กจๅฏๆตๅ
ฅ่ตไบง็ๆณๅธ่ต้ๆฑ ใ
็ฝ็ปๅฎๅ
จๆง (Hashrate): ๆฏ็นๅธๅ
จ็ฝ็ฎๅ๏ผไปฃ่กจ็ฝ็ป็็ฉ็ๅฎๅ
จๆงๅๅฎ็จไปทๅผใ
้ฃ้ฉๅๅฅฝ (S&P 500): ไฝไธบๅ
จ็้ฃ้ฉๆ
็ปช็ไปฃ็ๆๆ ใ
็ปๆตๅจๆ (PMI Z-Score): ็พๅฝๅถ้ ไธ PMI ็จไบๆ นๆฎๅไธๅจๆ๏ผๆฉๅผ vs ๆถ็ผฉ๏ผๆฅๆพๅคงๆๆๅถไผฐๅผใ
4. ๆๆ ็จๆณ
ๆๆ ไผๅจๅพ่กจไธ็ปๅถ ๅ
ฌๅ
ไปทๅผ (็ฝ็บฟ) ไปฅๅๅบไบ็ป่ฎกๅๅทฎ (Z-Score) ็ๅๆกๆ
็ปชๅธฆใ
ๆ
็ปชๅบ้ด
๐จ ๆๅบฆ่ดชๅฉช (็บข่ฒๅบๅ): ไปทๆ ผ > +0.3 ๆ ๅๅทฎใๅๅฒไธ้ๅธธ้ข็คบๅธๅบ้กถ้จๆๆ
็ปช่ฟ็ญใ
โ ๏ธ ไธ่ฌ่ดชๅฉช (ๆฉ่ฒๅบๅ): ไปทๆ ผ > +0.15 ๆ ๅๅทฎใๅคๅคดๅจ่ฝๅผบๅฒ๏ผไฝ้่ฐจๆ
ใ
โ๏ธ ๅ
ฌๅ
ไปทๅผ (็ฝ็บฟ): ๅบไบๅฎ่งๆฐๆฎ็็่ฎบโๆญฃ็กฎโไปทๆ ผใ
๐จ ไธ่ฌๆๆง (้่ฒๅบๅ): ไปทๆ ผ < -0.15 ๆ ๅๅทฎใ่ฟๅ
ฅไฝไผฐๅบๅใ
๐ ๆๅบฆๆๆง (็ปฟ่ฒๅบๅ): ไปทๆ ผ < -0.3 ๆ ๅๅทฎใๅๅฒไธ้ๅธธๆฏไปฃ้
็บงๅซ็ไนฐๅ
ฅๆบไผใ
ๆ
็ปช่ฏๅ (0-100)
100: ๆๅบฆ่ดชๅฉช (้กถ้จ)
50: ๅ
ฌๅ
ไปทๅผ
0: ๆๅบฆๆๆง (ๅบ้จ)
5. ไฝฟ็จๅปบ่ฎฎ
ๅจๆ: ไป
้ๆฅ็บฟ (1D) ๆๅจ็บฟ (1W)ใ
ๅๅ : ๅบๅฑๆฐๆฎๆบ๏ผM2, PMI๏ผๆฏๆๅบฆๆดๆฐ็ใๆ ๆฎ500ๅ็ฎๅๆฏๆฅๅบฆๆดๆฐ็ใๅจๆฅๅ
ๅพ่กจ๏ผๅฆ15ๅ้ใ1ๅฐๆถใ4ๅฐๆถ๏ผไธไฝฟ็จๆญคๆๆ ๆฒกๆไปปไฝๆไน๏ผๅ ไธบๅบๆฌ้ขๆฐๆฎไธไผๅๅๅพ้ฃไนๅฟซใ
้ฟๆ่ง่ง: ่ฟๆฏไธไธชๅฎ่งๅจๆๆๆ ๏ผๆจๅจ่ฏๅซๆฐๆ็่ณๆฐๅนด็ๅจๆ้กถ้จๅๅบ้จ๏ผ่้็จไบๆฅๅ
ไบคๆใ
6. ๅ
่ดฃๅฃฐๆ
ๆฌๆๆ ไป
ไพๆ่ฒๅๅ่ไฝฟ็จ๏ผไธๆๆไปปไฝ่ดขๅกๅปบ่ฎฎใ่ฏฅๆจกๅไพ่ตไบๅๅฒ็ธๅ
ณๆง๏ผๆชๆฅๅฏ่ฝไธๅ้็จใๆๆไบคๆๅๆถๅ้ฃ้ฉใGW Capital ๅๅถไฝ่
ไธๅฏนไปปไฝไบคๆๆๅคฑๆฟๆ
่ดฃไปปใ
BTC Price Prediction Model [Global PMI]๐จ๐ณ ไธญๆ่ฏดๆ (Chinese Version)
1. ็ฎไป
ๆฌๆๆ ็ฑ GW Capital ไฝฟ็จ Gemini Vibe Coding ๆๆฏๅถไฝใๅฉ็จๅ
่ฟ็ AI ็ผ็จ่ฝๅ๏ผๅฐๅคๆ็ๅฎ่ง็ปๆตๆจกๅ้ๆไธบๅฏๆง่ก็ไบคๆๅทฅๅ
ทใ
2. ่ด่ฐข
็นๅซๆ่ฐขๆจกๅๅไฝ่
Marty Kendallใไปๅฏน่ฟไธ็ฎๆณ็็ ็ฉถๅฅ ๅฎไบๅบ็ก๏ผๆญ็คบไบๆฏ็นๅธไปทๆ ผไธๅฎ่ง็ปๆตๅ ็ด ไน้ด็ๆทฑๅฑ่็ณปใ
3. ๆจกๅๅ็ไธๅ
ฌๅผ
่ฏฅๆจกๅๅบไบๅๅคงๅฎ่ง็ปๆตๆฏๆฑ่ฎก็ฎๆฏ็นๅธ็โๅ
ฌๅ
ไปทๅผโใๅฎๅ่ฎพๆฏ็นๅธ็ไปทๆ ผๆฏๅ
จ็ๆตๅจๆงใ็ฝ็ปๅฎๅ
จๆงใ้ฃ้ฉๅๅฅฝๅ็ปๆตๅจๆ็ๅฝๆฐใ
ๆจกๅๅ
ฌๅผ
$$\ln(BTC) = \alpha + (1 + \beta \cdot PMI_{z}) \times $$
ๅ
จ็ๆตๅจๆง (M2): ็พใไธญใๆฌงใๆฅๅๅคง็ปๆตไฝ็ M2 ๆป้๏ผๆ็ฎไธบ็พๅ
๏ผใไปฃ่กจๅฏๆตๅ
ฅ่ตไบง็ๆณๅธ่ต้ๆฑ ใ
็ฝ็ปๅฎๅ
จๆง (Hashrate): ๆฏ็นๅธๅ
จ็ฝ็ฎๅ๏ผไปฃ่กจ็ฝ็ป็็ฉ็ๅฎๅ
จๆงๅๅฎ็จไปทๅผใ
้ฃ้ฉๅๅฅฝ (S&P 500): ไฝไธบๅ
จ็้ฃ้ฉๆ
็ปช็ไปฃ็ๆๆ ใ
็ปๆตๅจๆ (PMI Z-Score): ็พๅฝๅถ้ ไธ PMI ็จไบๆ นๆฎๅไธๅจๆ๏ผๆฉๅผ vs ๆถ็ผฉ๏ผๆฅๆพๅคงๆๆๅถไผฐๅผใ
4. ๆๆ ็จๆณ
ๆๆ ไผๅจๅพ่กจไธ็ปๅถ ๅ
ฌๅ
ไปทๅผ (็ฝ็บฟ) ไปฅๅๅบไบ็ป่ฎกๅๅทฎ (Z-Score) ็ๅๆกๆ
็ปชๅธฆใ
ๆ
็ปชๅบ้ด
๐จ ๆๅบฆ่ดชๅฉช (็บข่ฒๅบๅ): ไปทๆ ผ > +0.3 ๆ ๅๅทฎใๅๅฒไธ้ๅธธ้ข็คบๅธๅบ้กถ้จๆๆ
็ปช่ฟ็ญใ
โ ๏ธ ไธ่ฌ่ดชๅฉช (ๆฉ่ฒๅบๅ): ไปทๆ ผ > +0.15 ๆ ๅๅทฎใๅคๅคดๅจ่ฝๅผบๅฒ๏ผไฝ้่ฐจๆ
ใ
โ๏ธ ๅ
ฌๅ
ไปทๅผ (็ฝ็บฟ): ๅบไบๅฎ่งๆฐๆฎ็็่ฎบโๆญฃ็กฎโไปทๆ ผใ
๐จ ไธ่ฌๆๆง (้่ฒๅบๅ): ไปทๆ ผ < -0.15 ๆ ๅๅทฎใ่ฟๅ
ฅไฝไผฐๅบๅใ
๐ ๆๅบฆๆๆง (็ปฟ่ฒๅบๅ): ไปทๆ ผ < -0.3 ๆ ๅๅทฎใๅๅฒไธ้ๅธธๆฏไปฃ้
็บงๅซ็ไนฐๅ
ฅๆบไผใ
ๆ
็ปช่ฏๅ (0-100)
100: ๆๅบฆ่ดชๅฉช (้กถ้จ)
50: ๅ
ฌๅ
ไปทๅผ
0: ๆๅบฆๆๆง (ๅบ้จ)
5. ไฝฟ็จๅปบ่ฎฎ
ๅจๆ: ไป
้ๆฅ็บฟ (1D) ๆๅจ็บฟ (1W)ใ
ๅๅ : ๅบๅฑๆฐๆฎๆบ๏ผM2, PMI๏ผๆฏๆๅบฆๆดๆฐ็ใๆ ๆฎ500ๅ็ฎๅๆฏๆฅๅบฆๆดๆฐ็ใๅจๆฅๅ
ๅพ่กจ๏ผๅฆ15ๅ้ใ1ๅฐๆถใ4ๅฐๆถ๏ผไธไฝฟ็จๆญคๆๆ ๆฒกๆไปปไฝๆไน๏ผๅ ไธบๅบๆฌ้ขๆฐๆฎไธไผๅๅๅพ้ฃไนๅฟซใ
้ฟๆ่ง่ง: ่ฟๆฏไธไธชๅฎ่งๅจๆๆๆ ๏ผๆจๅจ่ฏๅซๆฐๆ็่ณๆฐๅนด็ๅจๆ้กถ้จๅๅบ้จ๏ผ่้็จไบๆฅๅ
ไบคๆใ
6. ๅ
่ดฃๅฃฐๆ
ๆฌๆๆ ไป
ไพๆ่ฒๅๅ่ไฝฟ็จ๏ผไธๆๆไปปไฝ่ดขๅกๅปบ่ฎฎใ่ฏฅๆจกๅไพ่ตไบๅๅฒ็ธๅ
ณๆง๏ผๆชๆฅๅฏ่ฝไธๅ้็จใๆๆไบคๆๅๆถๅ้ฃ้ฉใGW Capital ๅๅถไฝ่
ไธๅฏนไปปไฝไบคๆๆๅคฑๆฟๆ
่ดฃไปปใ
๐บ๐ธ English Guide (่ฑๆ่ฏดๆ)
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
๐จ Extreme Greed (Red Zone): Price > +0.3 StdDev. Historically indicates a market top or overheated sentiment.
โ ๏ธ Greed (Orange Zone): Price > +0.15 StdDev. Bullish momentum is strong but caution is advised.
โ๏ธ Fair Value (White Line): The theoretical "correct" price based on macro data.
๐จ Fear (Teal Zone): Price < -0.15 StdDev. Undervalued territory.
๐ 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.
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) โ Optimized for Daily Timeframe
This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011โ2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings.
Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters:
- K Period = 21 โ smoother reaction, better suited for BTCโs macro cycles
- D Period = 3, Smooth K = 3 โ reduces noise while preserving responsiveness
- Overbought = 85, Oversold = 15 โ accounts for BTCโs tendency to trend strongly within extreme zones without immediate reversal
โ
Smart Signal Logic:
Buy/sell signals appear only when %K crosses %D inside the oversold (โค15) or overbought (โฅ85) zones, and only the first signal is shown to avoid whipsaws.
Visual Enhancements:
- Thick lines when %K/%D are in overbought/oversold zones
- Green/red background highlights on valid signals
- Optional up/down arrows for clear entry visualization
- Customizable colors, line widths, and transparency
๐ No alerts included โ clean, focused on price action and momentum.
๐ก Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves.
Based on Mozilla Public License v2.0 โ feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones.
ะฟะตัะตะฒะพะด ะฝะฐ ััััะบะธะน
ะฃะปัััะตะฝะฝัะน Stochastic ะดะปั Bitcoin (BTC) โ ะพะฟัะธะผะธะทะธัะพะฒะฐะฝ ะดะปั ะดะฝะตะฒะฝะพะณะพ ัะฐะนะผััะตะนะผะฐ
ะญัะพั ัะปัััะตะฝะฝัะน ะพััะธะปะปััะพั Stochastic ัะฟะตัะธะฐะปัะฝะพ ะฝะฐัััะพะตะฝ ะฟะพะด BTC/USD ะฝะฐ ะดะฝะตะฒะฝะพะผ ะณัะฐัะธะบะต, ั ััััะพะผ ะธััะพัะธัะตัะบะธั
ะดะฐะฝะฝัั
Bitstamp (2011โ2025), ััะพะฑั ะผะธะฝะธะผะธะทะธัะพะฒะฐัั ะปะพะถะฝัะต ัะธะณะฝะฐะปั ะธ ะฟะพะฒััะธัั ะฝะฐะดัะถะฝะพััั ะฒ ััะปะพะฒะธัั
ะฒััะพะบะพะน ะฒะพะปะฐัะธะปัะฝะพััะธ ะฑะธัะบะพะธะฝะฐ.
ะ ะพัะปะธัะธะต ะพั ะบะปะฐััะธัะตัะบะพะณะพ Stochastic (14, 3, 3), ััะฐ ะฒะตััะธั ะธัะฟะพะปัะทัะตั ะพะฟัะธะผะธะทะธัะพะฒะฐะฝะฝัะต ะฟะฐัะฐะผะตััั:
- ะะตัะธะพะด K = 21 โ ะฑะพะปะตะต ะฟะปะฐะฒะฝะฐั ัะตะฐะบัะธั, ะปัััะต ัะพะพัะฒะตัััะฒัะตั ะผะฐะบัะพัะธะบะปะฐะผ BTC
- ะะตัะธะพะด D = 3, ะกะณะปะฐะถะธะฒะฐะฝะธะต K = 3 โ ัะฝะธะถะฐะตั ััะผ, ัะพั
ัะฐะฝัั ะพัะทัะฒัะธะฒะพััั
- ะฃัะพะฒะตะฝั ะฟะตัะตะบัะฟะปะตะฝะฝะพััะธ = 85, ะฟะตัะตะฟัะพะดะฐะฝะฝะพััะธ = 15 โ ััะธััะฒะฐะตั ัะบะปะพะฝะฝะพััั BTC ะบ ัะธะปัะฝัะผ ััะตะฝะดะฐะผ ะฒ ัะบัััะตะผะฐะปัะฝัั
ะทะพะฝะฐั
ะฑะตะท ะฝะตะผะตะดะปะตะฝะฝะพะณะพ ัะฐะทะฒะพัะพัะฐ
โ
ะะฝัะตะปะปะตะบััะฐะปัะฝะฐั ะปะพะณะธะบะฐ ัะธะณะฝะฐะปะพะฒ:
ะะพะบัะฟะบะฐ/ะฟัะพะดะฐะถะฐ ะพัะพะฑัะฐะถะฐะตััั ัะพะปัะบะพ ะฟัะธ ะฟะตัะตัะตัะตะฝะธะธ %K ะธ %D ะฒะฝัััะธ ะทะพะฝั ะฟะตัะตะฟัะพะดะฐะฝะฝะพััะธ (โค15) ะธะปะธ ะฟะตัะตะบัะฟะปะตะฝะฝะพััะธ (โฅ85), ะธ ัะพะปัะบะพ ะฟะตัะฒัะน ัะธะณะฝะฐะป ัะธะบัะธััะตััั, ััะพะฑั ะธะทะฑะตะถะฐัั ยซั
ะปัััะพะฒยป.
ะฃะปัััะตะฝะฝะฐั ะฒะธะทัะฐะปะธะทะฐัะธั:
- ะะธัะฝัะต ะปะธะฝะธะธ, ะบะพะณะดะฐ %K/%D ะฝะฐั
ะพะดัััั ะฒ ัะบัััะตะผะฐะปัะฝัั
ะทะพะฝะฐั
- ะะตะปัะฝัะน/ะบัะฐัะฝัะน ัะพะฝ ะฟัะธ ะฟะพัะฒะปะตะฝะธะธ ัะธะณะฝะฐะปะพะฒ
- ะะฟัะธะพะฝะฐะปัะฝัะต ัััะตะปะบะธ ะดะปั ัััะบะพะณะพ ะพัะพะฑัะฐะถะตะฝะธั ัะพัะตะบ ะฒั
ะพะดะฐ
- ะะฐัััะพะนะบะฐ ัะฒะตัะพะฒ, ัะพะปัะธะฝั ะปะธะฝะธะน ะธ ะฟัะพะทัะฐัะฝะพััะธ
๐ ะะตะท ะฐะปะตััะพะฒ โ ัะธัััะน ะธะฝััััะผะตะฝั, ััะพะบััะธัะพะฒะฐะฝะฝัะน ะฝะฐ ัะตะฝะต ะธ ะธะผะฟัะปััะต.
๐ก ะกะพะฒะตั ะฟัะพัะตััะธะพะฝะฐะปะฐ: ะดะปั ะตัั ะฑะพะปััะตะน ัะพัะฝะพััะธ ะธัะฟะพะปัะทัะนัะต ััะพั ะธะฝะดะธะบะฐัะพั ะฒะผะตััะต ั ััะตะฝะดะพะฒัะผ ัะธะปัััะพะผ (ะฝะฐะฟัะธะผะตั, EMA 200). ะััะธะปะปััะพั ะปัััะต ะฒัะตะณะพ ัะฐะฑะพัะฐะตั ะฒ ัะฐะทะฐั
ะบะพะฝัะพะปะธะดะฐัะธะธ ะธะปะธ ะพัะบะฐัะฐ, ะฝะพ ะฝะต ััะพะธั ะฟัะธะผะตะฝััั ะตะณะพ ะฒ ะพะดะธะฝะพัะบั ะฒะพ ะฒัะตะผั ัะธะปัะฝัั
ะฟะฐัะฐะฑะพะปะธัะตัะบะธั
ะดะฒะธะถะตะฝะธะน.
ะะฐ ะพัะฝะพะฒะต Mozilla Public License v2.0 โ ัะฒะพะฑะพะดะฝะพ ะธัะฟะพะปัะทัะนัะต, ะผะพะดะธัะธัะธััะนัะต ะธ ะดะตะปะธัะตัั. ะะดะตะฐะปะตะฝ ะดะปั ัะฒะธะฝะณ-ััะตะนะดะตัะพะฒ ะธ ะฐะฝะฐะปะธัะธะบะพะฒ Bitcoin, ะธัััะธั
ะทะพะฝั ั ะฒััะพะบะพะน ะฒะตัะพััะฝะพัััั ัะฐะทะฒะพัะพัะฐ.
BTC GOD โ DEFINITIVE BTC MULTI INDICATORBTC GOD โ The Ultimate Bitcoin Cycle Indicator (2025 Edition)
The one indicator every serious BTC holder and trader has been waiting for.
A single script that perfectly combines the 5 most powerful and accurate Bitcoin indicators ever created โ all 100 % official versions:
- Official Pi Cycle Top (LookIntoBitcoin) โ in 2013, 2017 & 2021 (3/3 hits)
- Official MVRV Z-Score (Glassnode / LookIntoBitcoin) โ every major bottom (2015, 2018โ19, 2022)
- Dynamic Bull/Bear background (red bear-market when price drops X % from cycle ATH + monthly RSI filter)
- Monthly Golden/Death Cross (50-month EMA vs 200-week EMA) โ huge, unmistakable signals
- SuperTrend + 200-week EMA + 50-month EMA
- Cycle ATH/ATL tracking with flashing alert in the table when new highs/lows are made
- Exact days to/from the next halving + optimal accumulation zone (200โ750 days post-halving)
- Fully customizable inputs for experienced traders
Zero repainting. Zero errors. Works on every timeframe.
This is the indicator used by people who truly understand Bitcoinโs 4-year cycles.
If you could only keep ONE Bitcoin indicator for the rest of your lifeโฆ this would be it.
Save it, test it, and youโll instantly see why itโs called BTC GOD.
Built with love and obsession for Bitcoin cycles.
Last update: November 2025
BTC Energy + HR + Longs + M2
BTC Energy Ratio + Hashrate + Longs + M2
The #1 Bitcoin Macro Weapon on TradingView ๐๐ฅ
If youโre tired of getting chopped by fakeouts, ETF noise, and Twitter hopium โ this is the one chart that finally puts you on the right side of every major move.
What youโre looking at:
Orange line โ Bitcoin priced in real-world mining energy (Oil ร Gas + Uranium ร Coal) ร 1000
โ The true fundamental floor of BTC
Blue line โ Scaled hashrate trend (miner strength & capex lag)
Green line โ Bitfinex longs EMA (leveraged bull sentiment)
Purple line โ Global M2 money supply (US+EU+CN+JP) with 10-week lead (the liquidity wave BTC rides)
Why this indicator prints money:
Most tools react to price.
This one predicts where price is going based on energy, miners, leverage, and liquidity โ the only four things that actually drive Bitcoin long-term.
It has nailed:
2022 bottom at ~924 ๐
2024 breakout above 12,336 ๐
2025 top at 17,280 ๐๏ธ
And right now itโs flashing generational accumulation at ~11,500 (Nov 2025)
13 permanent levels with right-side labels โ no guessing what anything means:
20,000 โ 2021 Bull ATH
17,280 โ 2025 ATH
15,000 โ 2024 High Resist
14,000 โ Overvalued Zone
13,000 โ 2024 Breakout
12,336 โ Bull/Bear Line (the most important level)
12,000 โ 2024 Volume POC
10,930 โ Key Support 2024
9,800 โ Strong Buy Fib
8,000 โ Deep Support 2023
6,000 โ 2021 Mid-Cycle
4,500 โ 2023 Accum Low
924 โ 2022 Bear Low
Live dashboard tells you exactly what to do โ no thinking required:
Current ratio (updates live)
Hashrate + 24H %
Longs trend
Risk Mode โ Orange vs Hashrate (RISK ON / RISK OFF)
180-day correlation
RSI
13-tier Zone + SIGNAL (STRONG BUY / ACCUMULATE / HOLD / DISTRIBUTE / EXTREME SELL)
Dead-simple rules that actually work:
Weekly timeframe = cleanest view
Blue peaking + orange holding support โ miner pain = next leg up
Green spiking + orange failing โ overcrowded longs = trim
Purple rising โ liquidity coming in = ride the wave
Risk Mode = RISK OFF โ price is cheap vs miners โ buy
Set these 3 alerts and walk away:
Ratio > 12,336 โ Bull confirmed โ add
Ratio > 14,000 โ Start scaling out
Ratio < 9,800 โ Generational buy โ back up the truck
No repainting โข Fully open-source โข Forced daily data โข Works on any TF
Energy is the only real backing Bitcoin has.
Hashrate lag is the best leading indicator.
Longs show greed.
M2 is the tide.
This chart combines all four โ and right now itโs screaming ACCUMULATE.
Load it. Trust it.
Stop trading hope. Start trading reality.
DYOR โข NFA โข For entertainment purposes only ๐
#bitcoin #macro #energy #hashrate #m2 #cycle #riskon #riskoff
100+ BTC Tracker + 182-Day Dormant (6-Month HODL)Instantly see what the biggest Bitcoin whales are doing โ and exactly how much of the supply has been completely untouched for 6 full months or longer (182+ days), the strictest and most respected definition of true HODLing.
What this indicator shows you in real time:
Number of wallets holding โฅ100 BTC (~15,800 whales)
Total Bitcoin controlled by these whales (~3.25 million BTC)
6-Month Dormant Supply โ Bitcoin that hasnโt moved in 182+ days (~14.1 million BTC)
6-Month Dormant % โ What percentage of circulating supply is truly locked away
Why 182 days matters:
The 6-month threshold (โ182 days) is the industry-standard cutoff used by Glassnode, CryptoQuant, and analysts worldwide to define ultra-long-term holders. These are the coins least likely to ever hit exchanges โ the ultimate measure of conviction and scarcity.
Key features:Live or fallback? โ Instantly know if youโre seeing real-time on-chain data (green) or verified backup values (yellow)
Works on free accounts โ No paid data subscription required (though it becomes even more accurate with Glassnode/CryptoQuant add-ons)
Clean, non-intrusive design โ Three bold plots + sleek dark table in the top-right corner
Always up to date โ Fallback values manually verified as of November 21, 2025
Perfect for:
Spotting whale accumulation/distribution phases
Tracking real Bitcoin scarcity during bull or bear markets
Confirming long-term holder conviction before big moves
Add it to any BTC chart and instantly understand who really controls Bitcoin โ and how much of it is locked away forever by the strongest hands in crypto.
SWUltimate Sniper: SMT + AO + Money Flow
Overview This indicator is a comprehensive trading system designed to identify high-probability reversal points by combining three powerful concepts: Smart Money Techniques (SMT), Awesome Oscillator (AO) Momentum Divergences, and Macro Money Flow Analysis. It aims to filter out false signals by requiring confirmation from multiple technical factors before generating a signal.
Key Features & Logic
1. SMT Divergence (Smart Money Tool) The core of this indicator compares the current asset's price structure (Highs and Lows) against a benchmark symbol (Default: BTCUSDT).
Bullish SMT: When Bitcoin makes a Lower Low (LL), but the Altcoin makes a Higher Low (HL). This suggests underlying strength and accumulation in the Altcoin despite BTC's weakness.
Bearish SMT: When Bitcoin makes a Higher High (HH), but the Altcoin makes a Lower High (LH). This suggests weakness and distribution in the Altcoin despite BTC's strength.
2. Awesome Oscillator (AO) Confirmation To prevent premature entries based solely on price action, the indicator checks for momentum divergence on the Awesome Oscillator.
If the "AO Filter" option is enabled in settings, a signal (triangle) will only appear if both SMT Divergence and AO Divergence occur simultaneously (or within the same pivot window). This significantly increases the reliability of the setup.
3. Money Flow Dashboard A dashboard in the top-right corner provides real-time macro context to ensure you are trading with the trend.
USDT.D (Tether Dominance): Monitors whether capital is entering (Bullish) or leaving (Bearish) the crypto market.
BTC.D (Bitcoin Dominance): Monitors whether capital is flowing into Bitcoin or rotating into Altcoins (Altcoin Season).
How to Use
Buy Signal (Green Triangle): Look for a Green Triangle below the bar. Ideally, confirm this with the Dashboard showing "Money Flow: Entering" (Green) and "Trend: Flowing to Alts" (Green).
Sell Signal (Red Triangle): Look for a Red Triangle above the bar.
Dashboard: Use the dashboard as a trend filter. Do not long an Altcoin if USDT.D is spiking (Market Bearish).
Settings
Comparison Symbol: Select the benchmark asset (Default: BTCUSDT).
Pivot Period: Adjust the sensitivity of the divergence detection.
Use AO Filter: Toggle ON/OFF to require Awesome Oscillator confirmation for signals.
Dashboard: Toggle the visibility of the Money Flow panel.
Global M2 Money Supply Growth (GDP-Weighted)๐ Global M2 Money Supply Growth (GDP-Weighted)
This indicator tracks the weighted aggregate M2 money supply growth across the world's four largest economies: United States, China, Eurozone, and Japan. These economies represent approximately 69.3 trillion USD in combined GDP and account for the majority of global liquidity, making this a comprehensive macro indicator for analyzing worldwide monetary conditions.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ง KEY FEATURES:
๐ GDP-Weighted Aggregation
Each economy is weighted proportionally by its nominal GDP using 2025 IMF World Economic Outlook data:
โข United States: 44.2% (30.62 trillion USD)
โข China: 28.0% (19.40 trillion USD)
โข Eurozone: 21.6% (15.0 trillion USD)
โข Japan: 6.2% (4.28 trillion USD)
The weights are fully adjustable through the indicator settings, allowing you to update them annually as new IMF forecasts are released (typically April and October).
โฑ๏ธ Multiple Time Period Options
Choose between three calculation methods to analyze different timeframes:
โข YoY (Year-over-Year): 12-month growth rate for identifying long-term liquidity trends and cycles
โข MoM (Month-over-Month): 1-month growth rate for detecting short-term monetary policy shifts
โข QoQ (Quarter-over-Quarter): 3-month growth rate for medium-term trend analysis
๐ Advanced Offset Function
Shift the entire indicator forward by 0-365 days to test lead/lag relationships between global liquidity and asset prices. Research suggests a 56-70 day lag between M2 changes and Bitcoin price movements, but you can experiment with different offsets for various assets (equities, gold, commodities, etc.).
๐ Individual Country Breakdown
Real-time display of each economy's M2 growth rate with:
โข Current percentage change (YoY/MoM/QoQ)
โข GDP weight contribution
โข Color-coded values (green = monetary expansion, red = contraction)
๐ Smart Overlay Capability
Displays directly on your main price chart with an independent left-side scale, allowing you to visually correlate global liquidity trends with any asset's price action without cluttering the chart.
๐ง Customizable GDP Weights
All GDP values can be adjusted through the indicator settings without editing code, making annual updates simple and accessible for all users.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก DATA SOURCES:
All M2 money supply data is sourced from ECONOMICS (Trading Economics) for consistency and reliability:
โข ECONOMICS:USM2 (United States)
โข ECONOMICS:CNM2 (China)
โข ECONOMICS:EUM2 (Eurozone)
โข ECONOMICS:JPM2 (Japan)
All values are normalized to USD using current daily exchange rates (USDCNY, EURUSD, USDJPY) before GDP-weighted aggregation, ensuring accurate cross-country comparisons.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ก USE CASES & APPLICATIONS:
๐น Liquidity Cycle Analysis
Track global monetary expansion/contraction cycles to identify when central banks are coordinating loose or tight monetary policies.
๐น Market Timing & Risk Assessment
High M2 growth (>10%) historically correlates with risk-on environments and rising asset prices across crypto, equities, and commodities. Negative M2 growth signals monetary tightening and potential market corrections.
๐น Bitcoin & Crypto Correlation
Compare with Bitcoin price using the offset feature to identify the optimal lag period. Many traders use 60-70 day offsets to predict crypto market movements based on liquidity changes.
๐น Macro Portfolio Allocation
Use as a regime filter to adjust portfolio exposure: increase risk assets during liquidity expansion, reduce during contraction.
๐น Central Bank Policy Divergence
Monitor individual country metrics to identify when major central banks are pursuing divergent policies (e.g., Fed tightening while China eases).
๐น Inflation & Economic Forecasting
Rapid M2 growth often leads inflation by 12-18 months, making this a leading indicator for future inflation trends.
๐น Recession Early Warning
Negative M2 growth is extremely rare and has preceded major recessions, making this a valuable risk management tool.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ INTERPRETATION GUIDE:
๐ข +10% or Higher
Aggressive monetary expansion, typically during crises (2001, 2008, 2020). The COVID-19 period saw M2 growth reach 20-27%, which preceded significant inflation and asset price surges. Strong bullish signal for risk assets.
๐ข +6% to +10%
Above-average liquidity growth. Central banks are providing stimulus beyond normal levels. Generally favorable for equities, crypto, and commodities.
๐ก +3% to +6%
Normal/healthy growth rate, roughly in line with GDP growth plus 2% inflation targets. Neutral environment with moderate support for risk assets.
๐ 0% to +3%
Slowing liquidity, potential tightening phase beginning. Central banks may be raising rates or reducing balance sheets. Caution warranted for high-beta assets.
๐ด Negative Growth
Monetary contraction - extremely rare. Only occurred during aggressive Fed tightening in 2022-2023. Strong warning signal for risk assets, often precedes recessions or major market corrections.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ฏ OPTIMAL USAGE:
๐
Recommended Timeframes:
โข Daily or Weekly charts for macro analysis
โข Monthly charts for very long-term trends
๐น Compatible Asset Classes:
โข Cryptocurrencies (especially Bitcoin, Ethereum)
โข Equity indices (S&P 500, NASDAQ, global markets)
โข Commodities (Gold, Silver, Oil)
โข Forex majors (DXY correlation analysis)
โ๏ธ Suggested Settings:
โข Default: YoY calculation with 0 offset for current liquidity conditions
โข Bitcoin traders: YoY with 60-70 day offset for predictive analysis
โข Short-term traders: MoM with 0 offset for recent policy changes
โข Quarterly rebalancers: QoQ with 0 offset for medium-term trends
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ VISUAL DISPLAY:
The indicator plots a blue line showing the selected growth metric (YoY/MoM/QoQ), with a dashed reference line at 0% to clearly identify expansion vs. contraction regimes.
A comprehensive table in the top-right corner displays:
โข Current global M2 growth rate (large, prominent display)
โข Individual country breakdowns with their GDP weights
โข Color-coded growth rates (green for positive, red for negative)
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ MAINTENANCE & UPDATES:
GDP weights should be updated annually (ideally in April or October) when the IMF releases new World Economic Outlook forecasts. Simply adjust the four GDP input parameters in the indicator settings - no code editing required.
The relative GDP proportions between the Big 4 economies change very gradually (typically <1-2% per year), so even if you update weights once every 1-2 years, the impact on the indicator's accuracy is minimal.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
๐ญ TRADING PHILOSOPHY:
This indicator embodies the principle that "liquidity drives markets." By tracking the combined M2 money supply of the world's largest economies, weighted by their economic size, you gain insight into the fundamental liquidity conditions that underpin all asset prices.
Unlike single-country M2 indicators, this GDP-weighted approach captures the true global picture, accounting for the fact that US monetary policy has 2x the impact of Japanese policy due to economic size differences.
Perfect for macro-focused traders, long-term investors, and anyone seeking to understand the "tide that lifts all boats" in financial markets.
โโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโโ
Created for traders and investors who incorporate global liquidity trends into their decision-making process. Best used alongside other technical and fundamental analysis tools for comprehensive market assessment.
โ ๏ธ Disclaimer: M2 money supply is a lagging macroeconomic indicator. Past correlations do not guarantee future results. Always use proper risk management and combine with other analysis methods.
BTC EMA 5-9 Flip Strategy AutobotThis strategy is designed for fast and accurate trend-following trades on Bitcoin.
It uses a crossover between EMA 5 and EMA 9 to detect instant trend reversals and automatically flips between Long and Short positions.
How the strategy works
EMA 5 crossing above EMA 9 โ Long
EMA 5 crossing below EMA 9 โ Short
Automatically closes the opposite trade during a flip
Executes trades only on candle close
Prevents double entries with internal position-state logic
Fully compatible with automated trading via webhooks (Delta Exchange)
Why this strategy works
EMA 5โ9 is extremely responsive for BTCโs volatility
Captures trend reversals early
Works best on 15-minute timeframe
Clean, simple logic without over-filtering reduces missed opportunities
Performs well in both uptrends and downtrends
Automation Ready
This strategy includes alert conditions and webhook-ready JSON for automated execution.
This is a fast-reacting BTC bot designed for intraday and swing crypto trend trading.
Tri-Align Crypto Trend (EMA + Slope)**Tri-Align Crypto Trend (EMA + Slope)**
Quickly see whether your coin is trending *with* Bitcoin. The indicator evaluates three pairsโ**COIN/USDT**, **BTC/USDT**, and **COIN/BTC**โusing a fast/slow EMA crossover plus the fast EMAโs slope. Each pair is tagged **Bullish / Bearish / Neutral** in a compact, color-coded table. Alerts fire when **all three** trends align (all bullish or all bearish).
**How to use**
1. Add the indicator to any crypto chart.
2. Set the three symbols (defaults: BNB/USDT, BTC/USDT, BNB/BTC) and optionally choose a signal timeframe.
3. Tune **Fast EMA**, **Slow EMA**, **Slope Lookback**, and **Min |Slope| %** to filter noise and require stronger momentum.
4. Create alerts: *Add alert โ* choose the indicator and select **All Three Bullish**, **All Three Bearish**, or **All Three Aligned**.
**Logic**
* Bullish: `EMA_fast > EMA_slow` **and** fast EMA slope โฅ threshold
* Bearish: `EMA_fast < EMA_slow` **and** fast EMA slope โค โthreshold
* Otherwise: Neutral
Tip: The **COIN/BTC** row reflects relative strength vs BTCโuse it to avoid chasing coins that lag the benchmark. (For educational purposes; not financial advice.)
Tri-Align Crypto Trend (EMA + Slope)**Tri-Align Crypto Trend (EMA + Slope)**
Quickly see whether your coin is trending *with* Bitcoin. The indicator evaluates three pairsโ**COIN/USDT**, **BTC/USDT**, and **COIN/BTC**โusing a fast/slow EMA crossover plus the fast EMAโs slope. Each pair is tagged **Bullish / Bearish / Neutral** in a compact, color-coded table. Alerts fire when **all three** trends align (all bullish or all bearish).
**How to use**
1. Add the indicator to any crypto chart.
2. Set the three symbols (defaults: BNB/USDT, BTC/USDT, BNB/BTC) and optionally choose a signal timeframe.
3. Tune **Fast EMA**, **Slow EMA**, **Slope Lookback**, and **Min |Slope| %** to filter noise and require stronger momentum.
4. Create alerts: *Add alert โ* choose the indicator and select **All Three Bullish**, **All Three Bearish**, or **All Three Aligned**.
**Logic**
* Bullish: `EMA_fast > EMA_slow` **and** fast EMA slope โฅ threshold
* Bearish: `EMA_fast < EMA_slow` **and** fast EMA slope โค โthreshold
* Otherwise: Neutral
Tip: The **COIN/BTC** row reflects relative strength vs BTCโuse it to avoid chasing coins that lag the benchmark. (For educational purposes; not financial advice.)
TT ToniTrading Adjustable Price Fee Band [%]Simple but perfectly functional indicator with Trading fee bands.
Crypto Trading is with fees and very small trades often don't make sense due to the fees we need to pay. With this band you can visualize your fees before entering a trade and take smarter decisions for tight daytrading and scalping.
You type in the fee for just one trade, the Taker Fee for a Market Order. The bands show the fees in % times 2, so what you will pay for opening and closing the trade in reality. The band therefore shows the real break-even point, with included payed fees.
It additionally helps taking trading decisions or not with very small trades (Scalping).
You can smooth the bands if you want and you can addtionally show the true datapoints if you prefer smoothend bands. I recommend no bigger smoothing than 2, if you don't want to show the datapoints. Additionally you can fill the band, and of course adjust transperency, colour and all the general TradingView stuff.
Fee Overview in the current market for the indicator input field:
BingX with 10% fee reduction code = 0,045 %
BingX: Normal = 0,050 %
Bitget, ByBit, BitUnix, Blofin, Phemex: Normal = 0,060 %
Bitget, ByBit, BitUnix, Blofin, Phemex: with 20% fee reduction code = 0,048 %
Have fun Trading, Happy Profits!
Greetings
ToniTrading
Crypto ETFs AUM๐ Description: BTC ETFs AUM Tracker
This indicator tracks the Assets Under Management (AUM) and daily inflows/outflows of the main U.S.-listed Bitcoin ETFs, allowing you to visualize institutional capital movement into Bitcoin products over time. It helps traders correlate institutional capital movement with Bitcoin price behavior.
๐งฉ Overview
The script adds up the daily AUM changes from selected Bitcoin ETFs to estimate the total net inflow/outflow of capital into spot BTC funds. It also accumulates those flows over time to display the total aggregated AUM balance, giving you a clearer sense of market direction and institutional sentiment. Two display modes are available: Balance view: plots the cumulative sum of net inflows (total ETF AUM). Inflows view: shows daily inflows (green) and outflows (red) as histogram columns, together with a smoothed moving average line.
โ๏ธ Inputs
Explained Base Settings Base Multiplier (base_multi) โ Scaling factor applied to all AUM values. Leave at 1 for USD units, or adjust to display values in millions (1e6) or billions (1e9). Smoothing (c_smoothing) โ Period length for the simple moving average used to calculate the smoothed mean inflow/outflow line. Show Balance (showBalance) โ When enabled, displays the total cumulative AUM balance (sum of all net inflows over time). Show Inflows (showInflows) โ When enabled, displays the daily inflows/outflows as colored columns. ETF Selection You can toggle which ETFs are included in the calculation:
BIT (BlackRock)
GBTC (Grayscale)
FBTC (Fidelity)
ARKB (ARK/21Shares)
BITB (Bitwise)
EZBC (Franklin Templeton)
BTCW (WisdomTree)
BTCO (Invesco Galaxy)
BRRR (Valkyrie)
HODL (VanEck)
Each switch determines whether the ETFโs AUM and daily flow data are included in the total calculation.
๐ Displayed Values Green Columns โ Positive daily net inflows (AUM increased). Red Columns โ Negative daily net outflows (AUM decreased). Orange Line โ Smoothed moving average of net flows, used to identify persistent inflow/outflow trends. Blue Line (if enabled) โ Total cumulative AUM balance (sum of all historical flows).
๐ก Usage Notes Works best on daily timeframe, since ETF data is typically updated once per trading day. Not all ETFs have identical data history; missing data points are automatically skipped. The indicator doesnโt represent official fund NAV or guarantee data accuracy โ it visualizes TradingViewโs public financial feed. You can combine this tool with price action or on-chain metrics to analyze institutional Bitcoin flows.
Note: Some ETF data may not be available to all users depending on their TradingView data subscription or market access. Missing values are automatically skipped.
๐ง Disclaimer This script is for educational and analytical purposes only. It is not financial advice, and no investment decisions should be based solely on this indicator. Data accuracy depends on TradingViewโs financial data sources and exchange reporting frequency.
BTC TOPperThe BTC TOPper indicator is a sophisticated technical analysis tool designed to identify critical price levels where Bitcoin's weekly Simple Moving Average (SMA) intersects with historically significant All-Time High (ATH) levels. This indicator is particularly valuable for long-term trend analysis and identifying potential reversal zones in Bitcoin's price action.
Key Features:
๐น Weekly SMA Analysis: Uses a 200-period Simple Moving Average on weekly timeframe to smooth out short-term volatility and focus on long-term trends
๐น Persistent Historical ATH Tracking: Automatically detects and "freezes" ATH levels that have been held for more than one year, creating persistent reference levels
๐น Multi-Level Cross Detection: Tracks up to 10 different frozen ATH levels simultaneously, providing comprehensive historical context
๐น Visual Cross Alerts: Highlights entire weeks with red background when the weekly SMA crosses any frozen ATH level, making signals impossible to miss
๐น Advanced Smoothing Options: Includes optional secondary moving averages (SMA, EMA, SMMA, WMA, VWMA) with Bollinger Bands for enhanced analysis
๐น Customizable Parameters: Adjustable SMA length, offset, and smoothing settings to fit different trading strategies
How It Works:
ATH Detection: Continuously monitors for new all-time highs
Level Freezing: After an ATH is held for 1+ year, it becomes a "frozen" historical level
Cross Monitoring: Watches for intersections between the 200-week SMA and any frozen ATH level
Signal Generation: Highlights the entire week when a cross occurs, providing clear visual alerts
Trading Applications:
Long-term Trend Analysis: Identify when Bitcoin approaches historically significant resistance levels
Reversal Zone Detection: Spot potential areas where price might reverse based on historical context
Support/Resistance Confirmation: Use frozen ATH levels as dynamic support and resistance zones
Market Structure Analysis: Understand how current price relates to historical market cycles
Best Practices:
Use on weekly timeframe for optimal results
Combine with other technical indicators for confirmation
Pay attention to multiple frozen levels clustering in the same price range
Consider market context and fundamentals alongside technical signals
Settings:
Length: 200 (default) - SMA period
Source: Close price
Smoothing: Optional secondary MA with multiple types available
Bollinger Bands: Optional volatility bands around secondary MA
This indicator is ideal for Bitcoin traders and analysts who want to understand the relationship between current price action and historical market structure, particularly useful for identifying potential major reversal zones based on historical ATH levels.
