USD-TRADER-ROYThe USD-TRADER-ROY is a custom TradingView indicator designed for crypto and USD market analysis. It tracks a smoothed ratio between USDT dominance and historical averages (similar to the Puell Multiple concept) to highlight potential buy or sell zones.
Key features include:
Dynamic Buy/Sell Zones: Visual horizontal levels to indicate potential accumulation or profit-taking areas.
Visual Feedback: Colored backgrounds and bar colors to quickly show whether conditions suggest caution, accumulation, or potential selling.
Custom Alerts: Built-in alert conditions that notify traders when the market approaches critical thresholds, making it easier to act on opportunities without constant monitoring.
Flexible Parameters: Adjustable inputs for thresholds and risk levels to suit different strategies or risk tolerances.
This tool is aimed at traders who want a visual, alert-based system for gauging market extremes and managing entries/exits efficiently. It works best when combined with your own analysis and risk management.
Cycles
Profit Filter RSI+MACD//@version=5
indicator("Profit Filter RSI+MACD", overlay=true)
// Trend filter
ema200 = ta.ema(close, 200)
// RSI
rsi = ta.rsi(close, 14)
// MACD
macd = ta.ema(close,12) - ta.ema(close,26)
signal = ta.ema(macd,9)
// Long signal
longCond = close > ema200 and rsi < 30 and ta.crossover(macd, signal)
// Short signal
shortCond = close < ema200 and rsi > 70 and ta.crossunder(macd, signal)
// Plot signals
plotshape(longCond, title="Long Entry", location=location.belowbar,
color=color.green, style=shape.labelup, text="LONG")
plotshape(shortCond, title="Short Entry", location=location.abovebar,
color=color.red, style=shape.labeldown, text="SHORT")
// Plot EMA
plot(ema200, "EMA 200", color=color.orange)
US Net Liquidity + M2 / US Debt (FRED)US Net Liquidity + M2 / US Debt
🧩 What this chart shows
This indicator plots the ratio of US Net Liquidity + M2 Money Supply divided by Total Public Debt.
US Net Liquidity is defined here as the Federal Reserve Balance Sheet (WALCL) minus the Treasury General Account (TGA) and the Overnight Reverse Repo facility (ON RRP).
M2 Money Supply represents the broad pool of liquid money circulating in the economy.
US Debt uses the Federal Government’s total outstanding debt.
By combining net liquidity with M2, then dividing by total debt, this chart provides a structural view of how much monetary “fuel” is in the system relative to the size of the federal debt load.
🧮 Formula
Ratio
=
(
Fed Balance Sheet
−
(
TGA
+
ON RRP
)
)
+
M2
Total Public Debt
Ratio=
Total Public Debt
(Fed Balance Sheet−(TGA+ON RRP))+M2
An optional normalization feature scales the ratio to start at 100 on the first valid bar, making long-term trends easier to compare.
🔎 Why it matters
Liquidity vs. Debt Growth: The numerator (Net Liquidity + M2) captures the monetary resources available to markets, while the denominator (Debt) reflects the expanding obligation of the federal government.
Market Signal: Historically, shifts in net liquidity and money supply relative to debt have coincided with major turning points in risk assets like equities and Bitcoin.
Context: A rising ratio may suggest that liquidity conditions are improving relative to debt expansion, which can be supportive for risk assets. Conversely, a falling ratio may highlight tightening conditions or debt outpacing liquidity growth.
⚙️ How to use it
Overlay this chart against S&P 500, Bitcoin, or gold to analyze correlations with asset performance.
Watch for trend inflections—does the ratio bottom before equities rally, or peak before risk-off periods?
Use normalization for long historical comparisons, or raw values to see the absolute ratio.
📊 Data sources
This indicator pulls from FRED (Federal Reserve Economic Data) tickers available in TradingView:
WALCL: Fed balance sheet
RRPONTSYD: Overnight Reverse Repo
WTREGEN: Treasury General Account
M2SL: M2 money stock
GFDEBTN: Total federal public debt
⚠️ Notes
Some FRED series are updated weekly, others monthly—set your chart timeframe accordingly.
If any ticker is unavailable in your plan, replace it with the equivalent FRED symbol provided in TradingView.
This indicator is intended for macro analysis, not short-term trading signals.
Highest-Lowest & TrendTSL
This code is to find the highest and lowest since the beginning of a trend.
Once the trend is found respective TSL is plotted.
Screenshot explains more about the take outs from this indicator.
Timeframe option provided to run the indicator on user selected timeframe while the chart timeframe can be different.
This gives more insights from higher or lower timeframes.
hope this Indicator helps.
ICT Killzones x FVGs @dancizyeaaICT Killzones x FVGs Indicator
Last update: 19-SEP-2025
Creator: dancizyeaa
This indicator targets key session highs and lows combined with Fair Value Gaps (FVGs) visualization on TradingView charts. It integrates multiple market sessions (Asia, London, New York), drawing killzones, session separators, and key price levels with user-configurable alerts and filtering. It supports dynamic timeframe limits, coloring by FVG size, moving averages, and labels.
The ICT Killzones x FVGs indicator highlights major session high and low price zones with added fair value gaps, assisting traders in identifying potential reversal or breakout areas. It automatically draws session lines, pivot points, and dynamically colors FVG rectangles by size. It includes options for timezone offsets, alert setups for pivot breaks, and versatile visual configuration for clear session segmentation and market structure awareness.
Detailed Function Descriptions
Session Time and Date Handling:
Manages time offsets and date components to correctly align session boundaries and day separators considering timezone differences, including a weekday naming system for chart labeling.
FVG Detection and Coloring:
Detects bullish and bearish Fair Value Gaps based on recent candles, calculates gap size, and colors gaps differently if they are small or normal size to highlight relevant market inefficiencies.
Killzone (Session High/Low Zone) Management:
Creates and updates boxes, lines, and labels representing important market session zones from Asia to New York, including the ability to extend or limit these objects across timeframes and manage range averages.
Pivot Points and Midpoint Labels:
Draws session-specific pivot highs/lows and optional midpoint lines with alert conditions when these levels are broken, allowing traders to track and be notified of key market moves.
Session Separators and Open Lines:
Draws vertical and horizontal lines marking daily, weekly, and monthly open prices and session start/end boundaries with customizable styling, enhancing chart structure clarity.
Moving Average Overlay:
Optionally plots a user-defined simple moving average line for trend analysis, with customizable length and color.
Alert System:
Provides user-configurable alerts on pivot breaks and other key events, ensuring timely trading signals.
User Inputs and Settings:
Extensive input options to customize timezone offset, session visibility, line styles, transparency, label sizes and positions, and filter parameters for FVGs for a tailored trading experience.
週末線(全時間足対応) © Idakenこのスクリプトは、日本時間の土曜日をチャート全面にハイライト表示します。 1週間を視覚的に区別したいトレーダーに最適です。
This indicator highlights the entire chart during Saturdays in Japan Standard Time (JST). It is ideal for traders who want to visually distinguish each week.
Distribution Quarter IndicatorThis indicator automatically draws vertical lines at the two most important distribution quarter times in the trading day:
6:00 AM NY time (Market preparation phase)
12:00 PM NY time (Midday distribution period)
Key Features:
✅ Automatic time detection - Uses NY timezone (UTC-4) for accurate timing
✅ Fully customizable lines - Choose between solid, dotted, or dashed styles
✅ Adjustable line width - Set thickness from 1-5 pixels
✅ Custom colors - Individual color settings for each time marker
✅ Optional labels - Toggle time labels on/off
✅ Historical coverage - Lines appear on all past and future data
Perfect For:
Day traders tracking distribution patterns
Scalpers identifying key time-based levels
Anyone analyzing intraday market structure around quarter periods
How to Use:
Customize line styles and colors in settings
Lines will automatically appear at the specified NY times
Use as reference points for distribution analysis
Distribution Quarter IndicatorThis indicator automatically draws vertical lines at the two most important distribution quarter times in the trading day:
6:00 AM NY time (Market preparation phase)
12:00 PM NY time (Midday distribution period)
Key Features:
✅ 15-minute timeframe only - Designed specifically for intraday distribution analysis
✅ Automatic time detection - Uses NY timezone (UTC-4) for accurate timing
✅ Fully customizable lines - Choose between solid, dotted, or dashed styles
✅ Adjustable line width - Set thickness from 1-5 pixels
✅ Custom colors - Individual color settings for each time marker
✅ Optional labels - Toggle time labels on/off
✅ Historical coverage - Lines appear on all past and future data
Perfect For:
Day traders tracking distribution patterns
Scalpers identifying key time-based levels
Anyone analyzing intraday market structure around quarter periods
How to Use:
Apply to any 15-minute chart
Customize line styles and colors in settings
Lines will automatically appear at the specified NY times
Use as reference points for distribution analysis
Note: Indicator only functions on 15-minute timeframes and includes a helpful reminder if used on other timeframes.
北極熊指標 PolarLabs IndicatorPolarLabs Indicator — Introduction
PolarLabs is a research collective dedicated to the advancement of quantitative trading and automation. We focus on all-weather portfolio strategies, diverse grid trading systems, and perpetual futures, aiming to empower traders and investors with streamlined, efficient, and innovative tools for the modern financial markets.
The PolarLabs Indicator is designed to automatically detect and display recent resistance (“Arctic Line”) and support (“Antarctic Line”) levels, along with key metrics such as VWAP, ATR, and TR, all in a clear and accessible dashboard on your chart. This makes it easy for quant enthusiasts and algorithmic traders to analyze the market, identify key zones, and execute strategies with confidence and ease.
Whether you are building automated grid systems, monitoring breakouts, or constructing all-weather portfolios, PolarLabs provides practical solutions to help you trade and analyze more effectively.
Follow us for more quant tools and automated trading strategies!
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北极熊指标 — 简介
北极熊研究所(PolarLabs)专注于量化交易和自动化策略的研究与创新。我们致力于开发全天候资产配置策略、各种网格交易系统以及永续合约解决方案,帮助更多热爱量化与自动化的交易员轻松高效地进行市场分析与策略执行。
北极熊指标能够自动侦测近期的“北极线”(压力线)与“南极线”(支撑线),并整合VWAP、ATR、TR等关键数据,在图表右上角以面板形式直观展示。无论是箱体震荡、网格套利、趋势跟踪还是全自动量化策略,本指标都能为你的交易分析提供有力支持。
欢迎关注 PolarLabs,获取更多量化与自动化工具和策略!
Session based SMT [domatoth] Session-Based SMT Divergence Indicator
This indicator identifies Smart Money Technique (SMT)
divergences between the current instrument and up to two
comparison symbols across different trading sessions or daily
timeframes.
Key Features:
- Tracks high/low divergences between correlated instruments
- Session-based analysis: London (03:00-12:00), Asia
(20:00-03:00), NY AM (09:30-12:00), NY PM (12:00-16:00) EST
- Automatically switches to daily high/low comparison on
daily/weekly/monthly timeframes
- Support for two comparison symbols simultaneously
- Visual SMT lines with symbol labels
- Option to remove broken/invalidated SMT levels
How It Works:
The indicator compares session (or daily) highs and lows
between your chart and the selected comparison instruments.
When one instrument breaks its high/low but the other
doesn't, it creates an SMT divergence - potentially signaling
a reversal or liquidity grab.
Color Coding:
- Red/Orange: Current breaks high, comparison doesn't
- Blue/Purple: Comparison breaks high, current doesn't
- Green/Lime: Current breaks low, comparison doesn't
- Aqua/Fuchsia: Comparison breaks low, current doesn't
Recommended Use:
- Compare correlated pairs (ES/NQ, EUR/GBP, etc.)
- Look for divergences at key levels
- Use lower timeframes for session-based analysis
- Switch to daily timeframe for daily SMT levels
Settings:
- Choose comparison symbols
- Enable/disable second symbol
- Toggle broken SMT removal
- Customize session times
Perfect for ICT concepts and Smart Money analysis.
Multi Asset Position Size Calculator (Extended with Entry ModeMulti Asset Position Size Calculator (Extended with Entry Mode
Diamond PivotsWhen price changes direction, it forms Pivot. They are also called reversals, because they represent the point where the price reverses direction.
There are two varieties of pivots: Pivot high and pivot low
A pivot high occurs when the price is moving higher, then changes directions and begins moving lower.
A pivot low occurs when the price is moving lower, then changes direction and begins moving higher. Since the financial markets are in a constant state of movement, pivots are constantly forming.
The Pivot is identifying the liquidity points or sweeps of liquidity
ICT SMC ToolKit By VIPIN | High Volume OB + BOS, CHoCH, FVG📌 ICT Smart Money Concepts (SMC) Toolkit
This indicator provides traders with a complete Smart Money Concepts (SMC) framework inside a single tool. It helps to visualize institutional trading footprints and market structure shifts more effectively without the need to combine multiple separate indicators.
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🔹 Key Features
1. **Order Blocks (OB):**
- Automatically detects bullish and bearish order blocks.
- Helps traders identify institutional buying/selling zones where large players may be active.
- Volume filters included for more accurate signals.
2. **Break of Structure (BOS):**
- Marks market structure breaks that indicate continuation of the trend.
- Useful for identifying trend direction and confirming order flow.
3. **Change of Character (CHoCH):**
- Highlights early signs of market reversals.
- Shows when price transitions from bullish to bearish order flow (or vice versa).
4. **Fair Value Gaps (FVG):**
- Automatically draws zones of price imbalance.
- Traders can use these zones as possible retracement or entry levels.
- Helps to spot areas where price may return to "rebalance".
5. **Liquidity Sweeps:**
- Identifies liquidity grabs around recent highs and lows.
- Useful for spotting stop hunts and smart money manipulation before reversals.
6. **Custom Presets & Filters:**
- Users can toggle between OB-only, FVG-only, Sweep-only, or full SMC mode.
- Multiple color settings available for clear chart visualization.
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🎯 Purpose of the Script
- Brings all major SMC tools (OB, BOS, CHoCH, FVG, Liquidity Sweep) together in one indicator.
- Reduces the need for multiple overlapping indicators.
- Helps traders simplify their workflow and keep charts clean.
- Focused on education, analysis, and market structure visualization.
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⚠️ Disclaimer
This script is intended **for educational and analytical purposes only**.
It does not provide financial advice, trade recommendations, or guaranteed profits.
Traders should always manage their own risk and confirm setups with additional confluences.
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ℹ️ Notes for Users
- This indicator works on multiple timeframes and instruments (Forex, Commodities, Indices, Crypto).
- Best used with a strong understanding of Smart Money Concepts (SMC) and ICT methodology.
- Combining this tool with your own analysis will provide the best results.
GUSIGUSI — The simple way to read Bitcoin cycles
GUSI takes the complexity out of Bitcoin analysis by combining multiple advanced metrics into one easy-to-read 0–100 risk scale. You don’t need to adjust settings or learn dozens of indicators. Simply add it to the 1D INDEX:BTCUSD chart, and you’ll instantly see clear signals: green for accumulation zones, red for high-risk cycle tops. Labels and background highlights show Buy and Sell opportunities without guesswork.
What makes GUSI unique is how it integrates time-tested and modern approaches into a single framework. It blends Log-MACD, Sloped MVRV-Z Score, Net-Unrealized-Profit-Loss Ratio, Puell Multiple Regression Line, Weekly RSI Momentum, and even includes optional Pi Cycle Top Logic along with its modern adaptation using decreasing moving averages inspired by Ben Cowen. These elements are dynamically adjusted with sloped trigger bands, evolving as the market matures. That’s part of the “secret recipe” behind GUSI’s exceptionally consistent track record across multiple Bitcoin cycles.
The rules are simple:
Cycle tops often trigger near 97 on the scale
Cycle bottoms trigger around 2.5
With built-in alerts and intuitive visuals, you can stay disciplined, avoid FOMO, and focus on execution instead of endless chart watching.
Try it free on TradingView — just add as favourite, apply it, and you’ll immediately see how past signals aligned with Bitcoin’s biggest moves.
For more information, explanations, and advanced options like customization, alerts, and support, visit www.gusi-signal.com
GUSI turns Bitcoin cycle timing into something clear, calm, and repeatable — whether you’re a beginner or an experienced investor.
Pattern Match & Forward Projection – Weekly (v6.0)
📌 Pattern Match & Forward Projection – Weekly (v6.0)
This indicator is designed to spot situations in the past that resemble the current price behavior and then project their possible future outcomes.
🔍 How it works
Dynamic Lookback
The algorithm scans a wide history of candles (in this case, 750 weekly bars).
Within this history, it searches for price sequences that closely resemble the recent move.
Pattern Matching
When a match is found, the indicator assigns a validity score (e.g., 82%).
This value shows how similar the current structure is to those past cases.
Quality Filters
Users can fine-tune thresholds and parameters (e.g., terminal mean curve, max distance allowed, shape filter).
These filters reduce “false positives” and keep only the most significant matches.
Forward Projection
Once a match is confirmed, the indicator calculates the average forward performance based on how price behaved after similar cases in the past.
It then displays percentage statistics:
+1w, +2w, +3w, +4w, +5w …
each showing the historical average move over those timeframes.
📊 What we see on this chart (CRM – Salesforce, weekly)
A match was found with 82% validity.
Historically, in similar setups, price performance showed on average:
+0.87% after 1 week
+2.89% after 2 weeks
+7.25% after 3 weeks
+2.81% after 4 weeks
+3.39% after 5 weeks
The dashed lines on the chart represent projected price levels based on these statistical averages.
⚙️ In summary
This tool doesn’t produce “magical predictions.” Instead, it applies statistical analysis and pattern recognition: it compares the present with the past and highlights the probabilities of future moves based on historical analogs.
🔧 You can customize:
the lookback window (how many bars to scan),
the similarity threshold,
the shape filter,
and the forward periods to track.
👉 In short, the Pattern Match & Forward Projection is a practical tool for traders who want to complement traditional technical analysis with a quantitative, probability-driven approach, rooted in the market’s own memory
Custom Box Range Gianmarco D'AgostinoCrea Box personalizzabili che indicano range temporale scelto con massimi e minimi
Pattern Match & Forward Projection (v5.7) Pattern Match & Forward Projection – come funziona davvero questo indicatore 🔍📈
Ciao a tutti!
Oggi vi presento un indicatore che ho sviluppato e che sto testando da tempo: Pattern Match & Forward Projection.
L’idea è semplice: se il mercato tende a ripetere strutture simili, allora possiamo cercare nel passato i “fratelli gemelli” del movimento attuale e proiettarne il possibile sviluppo nei giorni successivi.
🔧 Come funziona
Analisi storica: l’indicatore scansiona il grafico indietro nel tempo (es. 750 giorni di lookback).
Ricerca dei match: viene confrontato l’andamento degli ultimi giorni con tutte le sequenze precedenti.
Filtraggio: il sistema tiene solo i match che hanno un certo livello di somiglianza (definita dalla distanza media).
Forward projection: da questi match, calcola come si sono mossi i prezzi nei giorni successivi e costruisce una curva media giornaliera (forward path).
📊 Cosa mostrano i dati
Nel box laterale trovate:
Match trovati → quante sequenze simili sono state individuate.
Distanza media → quanto i match assomigliano al pattern attuale (più è bassa, meglio è).
Media R(+10) → rendimento medio dopo 10 giorni.
Hit% → la percentuale di volte in cui il rendimento è stato positivo.
Curva media → la progressione giorno per giorno: +1d, +2d, … fino a +10d.
⚙️ Come regolare i filtri
Lookback (giorni): quanti giorni nel passato scansionare. Più alto → più campioni, ma anche meno “puri”.
Soglia distanza: stabilisce la tolleranza di somiglianza. Una soglia bassa → match più simili ma meno numerosi.
Hit% richiesta: imposta la percentuale minima di successi per validare un pattern (es. 50%).
Return filter: filtro sul rendimento medio richiesto (es. almeno +1%).
✅ Vantaggi
Vi dà una statistica concreta, non solo un “pattern a occhio”.
Permette di stimare probabilità e magnitudo attesa di un movimento.
È totalmente adattabile al vostro stile (più stretto e selettivo, o più ampio e inclusivo).
⚠️ Limiti
Non è un “oracolo”: ogni forward projection è una media statistica, non una certezza.
Va usato insieme ad altre analisi (volumi, livelli tecnici, macro, ecc.) e sempre con gestione del rischio.
👉 Fatemi sapere nei commenti come vi piacerebbe usare questo strumento: più per il breve periodo (1–5 giorni) o per una visione più lunga (10–20 giorni)?
Pattern Match & Forward Projection – how this indicator really works 🔍📈
Hi everyone!
Today I want to share an indicator I’ve been developing and testing: Pattern Match & Forward Projection.
The idea is simple: if markets tend to repeat similar structures, we can search the past for “twin brothers” of the current move and project their possible outcomes into the next days.
🔧 How it works
Historical scan: the indicator looks back through the chart (e.g. 750 days).
Pattern matching: it compares the recent price sequence with all past ones.
Filtering: only matches that meet a certain similarity threshold (average distance) are kept.
Forward projection: from these matches, it calculates how price moved in the following days and builds a daily average forward curve.
📊 What the data shows
In the side panel you’ll find:
Matches found → number of similar sequences detected.
Average distance → how close the matches are to the current pattern (lower = better).
Mean R(+10) → average return after 10 days.
Hit% → percentage of times the return was positive.
Forward curve → expected progression day by day: +1d, +2d … up to +10d.
⚙️ How to tune the filters
Lookback (days): how far back in history to search. Higher = more samples, but less “pure”.
Distance threshold: tolerance of similarity. Lower = closer matches but fewer of them.
Hit% requirement: minimum success rate to validate a pattern (e.g. 50%).
Return filter: minimum average return required (e.g. ≥ +1%).
✅ Advantages
Provides statistical evidence, not just a visual guess.
Estimates both probability and expected magnitude of a move.
Fully adjustable to your trading style (tight & selective or broad & inclusive).
⚠️ Limitations
This is not an oracle: each forward projection is a statistical average, not a guarantee.
It should always be combined with other analysis (volume, key levels, macro context) and proper risk management.
👉 Let me know in the comments how you’d use this tool: more for the short term (1–5 days) or for a longer outlook (10–20 days)?
壹神指標突破價格進場(進階版+停損線)中文:
壹神指標突破價格進場(進階版+停損線)
此指標專為台股日內與波段交易設計,提供突破訊號、停損線、量能過濾與開盤延遲啟動功能。
請注意:本指標僅供教育與研究使用,未經本人授權請勿盜用。
English:
YiShen Breakout Entry Indicator (Advanced + Stop Line)
This indicator is designed for intraday and swing trading, providing breakout signals, stop lines, volume filters, and session start delay options.
Disclaimer: This script is for educational and research purposes only. Unauthorized use or redistribution is strictly prohibited.
Smart Algogn2 [ChartPrime]Smart Algo indicator with buy/sell signals, optimized for crypto intraday trading.
MEMEC - Meme Coin Market Cap [Da_Prof]For this indicator, the meme coin market cap of the top meme coins are added together to get an estimate of the total meme coin market cap back to the first meme coin, DOGE. Meme.C does this natively on TradingView, but its data only goes back to 19 May 2025. For the indicator, MEME.C supersedes the addition of all the individual meme coins (i.e., from 19 May 2025 to present). The start of MEME.C is labeled on the chart by default, but can be removed by deselecting the label in the settings.
After the creation of DOGE, but before data is available for Meme.C, the highest market cap meme coins are added together to estimate the meme coin market cap. The meme coins used by default are DOGE, SHIB, PEPE, BONK, FLOKI, PENGU, TRUMP, SPX6900, FARTCOIN, WIF, M, BRETT, B, MOG, APE, TURBO, DOG, and POPCAT. Users can select if they wish to disregard any or all of these coins. As of the creation of the indicator, DOGE, SHIB, and PEPE have CRYPTOCAP symbols on TradingView. Therefore, the true market cap of these coins is integrated into this indicator. The other meme coin market caps are estimated using price and the circulating supply as of 09/16/2025. I make no claims as to the indicator's exact accuracy. In fact, it isn't exactly accurate since I utilized the circulating supply on the day it was created, so for meme coins that have a changing supply, the market cap will be at least slightly inaccurate. Use this indicator at your own risk.
To use the indicator, it is best to plot overlayed on the CRYPTOCAP:DOGE chart. You can decide whether or not to hide the DOGE market cap.