Fundamental Strategy - anuragmundraFundamental Score Based Backtest
This strategy combines fundamental analysis with automated backtesting to help identify long-term investment opportunities. Instead of relying only on price action or technical indicators, it evaluates the financial health of a company and generates simulated BUY/SELL signals accordingly.
🔑 Key Parameters Considered:
Price-to-Earnings (P/E Ratio): Ensures the stock is not overpriced.
Return on Equity (ROE): Indicates efficiency of management and business profitability.
Debt-to-Equity Ratio (D/E): Evaluates leverage and financial risk.
Revenue Growth (YoY): Shows business expansion and demand.
EPS Growth: Reflects consistent profit generation for shareholders.
Sales Growth: Confirms topline improvement.
Profit Growth: Measures bottom-line strength.
✅ Buy Condition
When the fundamental score ≥ 70/100, the strategy enters a long position.
Score is based on meeting/exceeding thresholds for P/E, ROE, Revenue Growth, EPS Growth, Sales Growth, Profit Growth, and Debt-to-Equity.
❌ Sell/Exit Condition
When the score falls below 70, the position is closed.
⚡ How to Use
Designed for medium to long-term investors who prefer fundamentally strong companies.
Can be run in the Strategy Tester to evaluate the historical performance of any stock.
Suitable as a stock-picking filter rather than a short-term trading system.
📊 Notes
Some ratios (like ROE) are based on annual values (FY), while others (EPS, Revenue, Net Income) use TTM for recency.
Not all symbols/exchanges provide full fundamental data. If data is missing, some metrics may show as N/A.
⚠️ Disclaimer: This is an educational tool for research and backtesting only. It is not financial advice. Always combine with your own due diligence before making investment decisions.
Analisis Fundamental
RoyalGold TRW Indicator | Oxford+ (Adaptive)Update version of the original Oxford with some new features and new updates
A best Seasonality Monthly IndicatorSeasonality Monthly is a custom indicator designed for TradingView that calculates and displays monthly seasonality performance as a table overlay on the chart.
Key aspects and functionality:
It requires the timeframe to be either monthly or daily; otherwise, it throws an error.
The user can set the starting year (default 2015) from which the seasonality statistics begin.
It collects monthly percentage change data (close to close returns) for each month and year dynamically using request.security.
Data is stored in a two-dimensional matrix representing years by months, accumulating returns for each month over the years.
The table is drawn on the chart showing monthly returns for each year, with cells colored green for positive returns and red for negatives.
The bottom rows of the table show summary statistics per month:
AVG: Average monthly returns
SUM: Sum of returns
+ive: Count of months with positive returns over total counts
WR: Win rate (ratio of positive months)
Text sizes and colors are customizable via inputs.
Uses Pine Script v5 features like matrix, table API, and new runtime error handling.
This script is useful for visualizing historical monthly seasonality patterns for any symbol on TradingView.
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The Seasonality Monthly Pine Script indicator is a powerful tool designed for TradingView that enables traders to analyze and visualize the historical seasonal performance of an asset on a monthly basis. This script focuses on identifying recurring monthly patterns by accumulating monthly percentage returns over multiple years, providing insights that help traders understand when certain months tend to perform better or worse historically.
The script requires the chart to be set to either a daily or monthly timeframe to ensure accurate calculations and data retrieval. It uses the request. security function to fetch monthly data, extracting each bar's year, month, and monthly price change percent based on close-to-close returns. These returns are then accumulated into a matrix data structure, organizing the percentage changes for each year and month to build a comprehensive historical dataset.
A dynamic table is constructed and displayed on the chart, showing a detailed breakdown of percentage changes each month for every year starting from a customizable start year (default is 2015). Each cell in the table is color-coded—green for positive monthly returns and red for negative—making it visually easy to interpret seasonal trends. This immediate visual feedback is valuable for traders looking to identify strong or weak months historically.
Beyond just the yearly data, the script calculates aggregate statistics for each month, which are displayed in summary rows at the bottom of the table. These include the average monthly return, the sum of returns, the count of positive-return months versus total months ("+ive"), and the win rate (WR), which is the proportion of positive months over the total number of months observed. These statistics assist traders in quantifying the strength and consistency of monthly seasonal effects.
The script also includes user customization options such as the starting year for seasonality analysis and adjustable text size for better readability. It incorporates modern Pine Script v5 features like runtime error handling, matrix operations, and the enhanced table API for efficient and clear display.
Overall, This is a practical indicator that helps traders incorporate seasonality insights into their decision-making process, potentially improving timing entries and exits by leveraging historical monthly market behaviors. It is particularly useful for spotting cyclic tendencies and planning strategies around historically strong or weak months, adding a valuable dimension to technical analysis.
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#Seasonality #TradingView #PineScript #TechnicalAnalysis #StockMarket #MonthlyPerformance #SeasonalTrends #MarketAnalysis #TradingStrategy #PricePatterns #Charting #DataVisualization #AlgorithmicTrading #FinancialMarkets #TradingIndicators #InvestmentStrategy #QuantitativeAnalysis #MarketSeasonality #StockTrading #TradingTools
Apex Matrix AI [Institutional Grade] by IndicatorEdgeStop trading with amateur tools and retail-grade logic. The Apex Matrix AI is a professional-grade, institutional trading framework designed to provide a definitive analytical edge. This is not just another indicator; it's a complete, multi-asset "Operating System" that intelligently adapts its core logic to the unique personality of the market you are trading.
At its heart is a powerful Weighted Confluence Engine that quantifies trend strength across ten distinct factors. It only generates a signal when a decisive analytical edge is present, all while managing risk with mathematical precision. This is the level of detail and logical soundness that institutions demand.
The Institutional Edge: A System Worth Six Figures
Why do most public scripts fail? Because they are rigid, logically flawed toys. They don't adapt to changing markets, and their risk management is an afterthought.
Proprietary trading firms and hedge funds spend well over $100,000 on research and development to build in-house systems with the level of logical depth, adaptive capability, and integrated risk management found in this script. They understand that a true edge comes from a robust, multi-faceted framework, not a simple crossover.
The Apex Matrix AI brings that institutional-grade framework to the public TradingView community. Every component, from the dynamic scoring engine to the adaptive asset profiles, has been meticulously engineered to be logically sound, transparent, and effective.
Core Features: The Pillars of an Institutional System
🏆 The Adaptive Core (Multi-Asset Profiles): This is the script's most powerful feature. The Apex Matrix AI recognizes that Crypto does not trade like Stocks. Select a profile for Crypto, Forex, Indices, or Stocks, and the system automatically calibrates its most critical parameters (session filters, risk models, etc.) to that market's unique behavior.
🧠 Logically Sound Confluence Engine: Unlike flawed systems, the Apex Matrix AI is built on sound logic. The ADX is correctly used as a non-directional strength filter, while nine other factors contribute to a dynamic, weighted bull/bear score. The maximum possible score intelligently adapts based on the factors you have enabled, ensuring the score is always transparent and mathematically correct.
⚙️ Professional Risk & Position Sizing: This is not a strategy, but it is built with the principles of one. The logic is designed for traders who think in terms of risk. All on-chart signals are generated with the understanding that a professional trader would use ATR-based stops and risk-based position sizing.
📊 The "Command Center" Dashboard: The dashboard is your at-a-glance source of truth. It's large, professional, and built for instant clarity. It provides a complete, real-time view of:
The live status and value of all 11 market factors.
The current market regime (e.g., "Bull Regime," "Chop").
The live Confluence Score, showing you how close the market is to a high-probability setup.
🎯 Unambiguous On-Chart Signals: No more guessing. When a signal is confirmed, a professional Information Box appears on your chart, displaying the signal type and its final Confluence Score.
How the System Works: A Disciplined 3-Step Process
Regime Filter: First, the system confirms the market is in a healthy, "tradable" regime using the ADX and a Higher Timeframe trend analysis. It is designed to stay flat during low-probability chop.
Confluence Scoring: The script's Matrix Engine continuously analyzes nine different directional indicators, from EMAs and MACD to SuperTrend and Stochastics. It assigns a score based on the weights you have defined in the settings.
Signal Confirmation: A signal is only generated when the Confluence Score crosses a minimum threshold and the market regime filters are passed. This disciplined, multi-step process ensures you are only alerted to high-probability setups.
How To Use This Indicator
Select Your Asset Profile: This is your most important first step. Choose the profile from the dropdown that matches the asset on your chart (e.g., "Forex" for EURUSD).
Configure Your Weights (Optional): For advanced users, adjust the "Confluence Factor Weights" to align the scoring engine with your personal trading strategy.
Monitor the Dashboard: Use the live dashboard to get a constant, at-a-glance overview of the market's health. Watch as the Confluence Score builds or fades.
Act on Confirmed Signals: Use the on-chart Signal Information Boxes as your primary call to action. Use these high-probability signals to confirm your own analysis at key levels.
Disclaimer: This tool is for educational and analytical purposes only. All trading involves substantial risk, and the author, IndicatorEdge By SG, is not liable for any financial losses incurred. Past performance is not indicative of future results. Please trade responsibly.
Apex Confluence Strategy [Multi-Asset Pro] v4.0Stop using a crypto strategy for stocks. Introducing the Apex Confluence Strategy —the first truly adaptive trading system designed for the modern, multi-market trader. This is not just another strategy; it's an institutional-grade framework that automatically adjusts its core logic to the unique personality of the asset you are trading, whether it's Crypto, Forex, Indices, or Stocks.
At its heart is a powerful Dual Scoring Engine that quantifies trade probability by analyzing a confluence of professional-grade signals. A trade is only taken when the score is high, the macro trend is aligned, and the position size is mathematically calculated for precision risk control.
The Multi-Asset Advantage: Why This is a Game-Changer
Most strategies fail because they treat all markets the same. The Apex Strategy recognizes this is a critical flaw. Our Asset Profile system automatically tunes the strategy's parameters for you:
📈 Stocks & Indices: Deploys tighter stop losses and aims for higher risk-reward ratios to capitalize on smoother trending behavior, with session filters automatically active.
₿ Crypto: Switches to wider, volatility-based stop losses to survive sharp swings and disables session filters for the 24/7 market.
🌍 Forex: Uses parameters optimized for its tendency towards mean-reversion and respects the critical London/New York session overlaps.
⚙️ Custom: For the professional trader who wants full control, the Custom profile lets you override all presets and fine-tune every parameter manually.
This adaptive logic ensures you are always using a tool that is specifically calibrated for the environment you are trading in, dramatically increasing its relevance and effectiveness.
Core Features: The Pillars of a Professional System
🏆 The Dual Scoring Engine: Logically sound and accurate. A buy signal is only scored on bullish criteria (Hammers, Bullish Divergence, RSI Oversold), and a sell signal is only scored on bearish criteria. No mixed signals, ever.
⚙️ True Risk-Based Position Sizing: The gold standard in risk management. Define your exact risk per trade (e.g., 1% of capital), and the strategy calculates the precise position size to ensure your risk is identical on every trade, regardless of market volatility.
🔬 True RSI Divergence Engine: A robust pivot-based engine that identifies structural divergence between price and the RSI—a classic signal used by professionals to spot trend exhaustion and high-probability reversals.
📊 The "Signal Checklist" Dashboard: An intelligent dashboard that shows you what matters. In an uptrend, it displays the live Long Score building toward your entry threshold. In a downtrend, it shows the Short Score. It's a clean, dynamic checklist that includes the active Asset Profile.
🔧 Fully Modular & Backtest-Ready: You are in control. Enable or disable any confirmation signal (Candlesticks, Divergence, Volume, etc.) to see how it impacts the strategy's performance on different assets
How to Use This Strategy
Select Your Asset Profile: This is your most important first step. Choose the profile from the dropdown that matches the asset on your chart.
Define Your Risk: Set your "Risk per Trade (%)" in the settings. This is the cornerstone of your long-term capital management.
Backtest: Use TradingView's Strategy Tester to analyze the performance. Compare how the different Asset Profiles perform on the same chart to understand the impact of the adaptive logic.
Analyze the Dashboard: Use the live dashboard to monitor the current trend and see how close the score is to triggering a signal.
Disclaimer: This tool is for educational and analytical purposes only. All trading involves substantial risk. The author, IndicatorEdge By SG, is not liable for any financial losses incurred. Past performance and backtest results are not indicative of future results. Please trade responsibly.
Buyside & Sellside Liquidity by Abu-sarahThe Liquidity Zones Indicator is built to automatically identify and visualize one of the core foundations of smart money trading: liquidity pools and levels.
These are areas on the chart where clusters of orders are typically positioned – such as stop losses above highs (buyside) or below lows (sellside). Recognizing these levels can help traders anticipate where price might gravitate to, reverse, or continue its movement.
🔶 SETTINGS
🔹 Liquidity Levels
Detection Length: Number of candles used to scan and define swing points.
Margin: Adjusts how sensitive the script is when confirming a liquidity level.
🔹 Liquidity Zones
Buyside Liquidity: Activates zones above repeated highs.
Sellside Liquidity: Activates zones below repeated lows.
Margin & Colors: Fully customizable width and color display for both buyside and sellside areas.
🔹 Liquidity Voids
Option to highlight imbalances (FVGs) both bullish and bearish.
Labels can be enabled to clearly tag voids for quick recognition.
🔹 Display Options
Mode: Choose between Present (last 500 bars focus) or Historical (full chart scan).
Visible Levels: Control how many liquidity areas are shown at once.
🔶 HOW IT WORKS
Liquidity, in simple terms, is the presence of pending orders at certain price levels.
Buyside Liquidity (BLIQ): typically above swing highs, where short sellers’ stops rest.
Sellside Liquidity (SLIQ): typically under swing lows, where long traders’ stops are placed.
When price sweeps through these pools, two common reactions occur:
Reversal: Price clears liquidity then snaps back in the opposite direction.
Continuation: Price breaks through, retests, and extends further in the same direction.
Additionally, Liquidity Voids (imbalances) appear as strong displacement candles with little to no wicks, signaling inefficient trading ranges. Such gaps are often revisited and filled later by price action.
🔶 DETAILS
Helps traders spot stop hunts & fakeouts.
Shows where institutions & smart money are likely targeting orders.
Zones can double as support/resistance and provide setups for entries/exits.
Fully customizable visuals for better chart readability.
تم تصميم هذا المؤشر ليكشف بشكل تلقائي ويعرض أحد أهم مفاهيم التداول بالمال الذكي: مناطق السيولة (Liquidity Pools & Levels).
هذه المناطق تمثل تجمعات أوامر السوق المخفية، مثل أوامر إيقاف الخسارة (Stops) المتمركزة غالبًا فوق القمم (سيولة شرائية) أو تحت القيعان (سيولة بيعية). معرفة أماكنها تمنح المتداول ميزة في توقّع الأماكن التي قد ينجذب إليها السعر ويحدث عندها اختراق أو ارتداد قوي.
🔶 الإعدادات
🔹 مستويات السيولة
طول الكشف (Detection Length): عدد الشموع المستخدمة لمسح وتحديد القمم والقيعان.
الهامش (Margin): يحدد مدى حساسية المؤشر عند تأكيد المستوى.
🔹 مناطق السيولة (Liquidity Zones)
سيولة شرائية (Buyside): تفعل إظهار المناطق أعلى القمم المتكررة.
سيولة بيعية (Sellside): تفعل إظهار المناطق أسفل القيعان المتكررة.
الهامش والألوان: تحكم كامل في عرض الحدود ولون المناطق.
🔹 فجوات السيولة (Liquidity Voids)
خيار تفعيل كشف الفجوات السعرية غير المتوازنة (FVG) الصاعدة والهابطة.
إمكانية إظهار ملصق (Label) لتوضيح أماكن الفجوات بشكل مباشر.
🔹 خيارات العرض
الوضع (Mode):
الحالي (Present): يركز على آخر 500 شمعة.
التاريخي (Historical): يفحص كامل البيانات المتوفرة على الشارت.
عدد المستويات المرئية: لتحديد كم منطقة سيولة تظهر على الرسم.
🔶 آلية عمل المؤشر
ببساطة، السيولة تعني وجود أوامر معلقة عند مستويات سعرية محددة.
سيولة شرائية (Buyside): غالبًا فوق القمم حيث يتمركز ستوبات البائعين.
سيولة بيعية (Sellside): غالبًا تحت القيعان حيث يتمركز ستوبات المشترين.
عند ضرب السعر لهذه المستويات قد يحدث:
انعكاس (Reversal): السعر يخترق المنطقة سريعًا ثم ينعكس بالاتجاه المعاكس.
استمرار (Continuation): المنطقة تنكسر ويعيد السعر اختبارها ثم يكمل بنفس الاتجاه.
أما فجوات السيولة (Voids/FVGs) فتظهر كشموع قوية متتالية دون ذيول واضحة، مما يشير إلى حركة غير متوازنة غالبًا يعود إليها السعر لاحقًا لملئها.
🔶 التفاصيل
يساعد على رصد الاختراقات الوهمية (Stop Hunt).
يكشف مناطق تجميع أو توزيع المؤسسات والبنوك.
المناطق المرسومة يمكن أن تعمل كـ دعم/مقاومة ذكية.
قابل للتخصيص من حيث الشكل والألوان لتوضيح القراءة على الشارت.
🔶 التنبيهات
يمكن ضبط المؤشر لإرسال تنبيه عند:
اكتشاف/تحديث مستوى سيولة جديد.
اختراق أو كسر منطقة سيولة قائمة.
📌 للمزيد من الشروحات والتحديثات اليومية:
👉 Radar Channel
🔖 هاشتاقات:
#السيولة #التداول #الفوليوم #المؤسسات #SMC #الفوركس #الاسهم #الكريبتو #Options #ICT #Radar
Outside Bar Reversal - Black GUIAn Outside Bar Reversal strategy that buys when the price breaks above the high of an outside bar and sells when it breaks below the low of an outside bar.
The strategy features a black-themed GUI for enhanced visibility.
This strategy is useful for identifying potential reversal points based on price action patterns. Always backtest the strategy before applying it to live trading.
Visit - trader-on-the-go .
ATR Trailing Stop Loss - FixedAn ATR Trailing Stop Loss strategy that uses the Average True Range (ATR) to set dynamic stop loss levels.
The strategy buys when the price crosses above the previous high and sells when the price crosses below the trailing stop level.
The strategy features a black-themed GUI for enhanced visibility.
You can adjust the ATR length and multiplier using the input parameters.
This strategy is useful for managing risk while allowing profits to run in trending markets.
Always backtest the strategy before applying it to live trading.
Visit - for more such strategies.
Volume Spike Strategy - Black GUIA volume spike strategy that buys when the volume is 150% above the 20-day average and the price is increasing.
The strategy uses a black-themed GUI for better visibility.
You can customize the volume spike multiplier and the length of the volume moving average using the input parameters.
This strategy is effective for identifying potential breakout points in the market. Always backtest the strategy before applying it to live trading.
Visit - for more such strategies.
ADX with DI+/- Crossover StrategyAn ADX-based strategy that buys when the DI+ line crosses above the DI- line with the ADX above a specified threshold (default 25), and sells when the opposite occurs.
The strategy features a black-themed GUI for enhanced visibility.
You can adjust the ADX length and threshold using the input parameters.
This strategy is useful for identifying strong trends in the market.
Always backtest the strategy before applying it to live trading.
Visit - for more such strategies.
Bollinger Bands Mean Reversion - Black GUIA Bollinger Bands mean reversion strategy that buys when the price touches the lower band and sells when it touches the upper band.
The strategy features a black-themed GUI for enhanced visibility.
You can adjust the length and multiplier of the Bollinger Bands using the input parameters.
This strategy is useful for identifying potential reversal points in the market.
Always backtest the strategy before applying it to live trading.
Visit - for more such strategies.
Asset Strength Index <DOSALGO>The Asset Strength Index (ASI) is a comprehensive dashboard indicator designed to provide traders with a broader perspective on market dynamics. Instead of viewing an asset in isolation, the ASI measures its relative strength against a basket of key global assets: Bonds, Gold, and the US Dollar.
This tool is built to give you an immediate, visual understanding of how the asset you are charting is performing in the context of the wider financial landscape. The analysis is presented across three distinct time horizons—Short-Term, Medium-Term, and Long-Term—allowing for a nuanced view of performance.
How It Can Be Useful
The core purpose of the ASI is to serve as a contextual analysis tool. By understanding an asset's strength or weakness relative to others, traders can gain valuable insights that may not be apparent from price action alone.
Inter-Market Confirmation: Use the dashboard to confirm your trading ideas. For example, a bullish outlook on a stock index could be strengthened if it shows increasing strength against safe-haven assets like Gold and Bonds.
Risk Sentiment Barometer: Gauge the prevailing risk-on or risk-off sentiment. If the US Dollar and Bonds are showing strength while your asset is weakening, it could indicate a broader market shift towards safety.
Multi-Term Perspective: Quickly assess if short-term movements are aligned with the longer-term trend. A short-term dip might be less concerning if the asset's long-term relative strength remains high.
How to Use It
The ASI dashboard is displayed directly on your chart. The values are presented as percentages, indicating the relative strength for each term.
Monitor the Readings: Observe the percentage values in the "S. Term," "M. Term," and "L. Term" columns. Positive values suggest relative strength, while negative values indicate relative weakness.
Look for Trends: The arrows (▲ or ▼) next to the percentage show the most recent change, helping you spot developing trends in relative strength.
Combine with Your Strategy: The ASI is not a standalone signal generator. It is most effective when used to supplement your existing trading system, helping you make more informed decisions by adding a layer of sophisticated, inter-market analysis.
The dashboard's appearance is fully customizable, allowing you to adjust its position, size, and colors to fit your chart layout.
Disclaimer
The Asset Strength Index (ASI) is a tool for market analysis and should not be considered financial advice. All trading involves risk, and past performance is not indicative of future results. Always use this indicator in conjunction with your own comprehensive trading plan and risk management strategy.
P/E Rating by The Noiseless TraderP/E Rating by The Noiseless Trader
This script analyzes a symbol’s Price-to-Earnings (P/E) ratio, using Diluted EPS (TTM) fundamentals directly from TradingView.
The script calculates the Price-to-Earnings ratio (P/E) using Diluted EPS (TTM) fundamentals. It then identifies:
PE High → the highest valuation point over a long historical range.
PE Low → the lowest valuation point over the same period.
PE Median → the midpoint between the two extremes, offering a fair-value benchmark.
PE (Int) → an additional intermediate low to track more recent undervaluation points.
These levels are plotted directly on the chart as horizontal references, with markers showing the exact bars/dates when the extremes occurred. Candles corresponding to those days are also highlighted for context.
Bars corresponding to these extremes are highlighted (red = PE High, green = PE Low).
How it helps
Provides a historical valuation framework that complements technical analysis.
Helps identify whether current price action is happening near overvalued or undervalued zones.
Adds a long-term perspective to support swing trading and investing decisions.
Offers a simple visual map of how far the market has moved from “cheap” to “expensive.”
This tool is best suited for long-term investors and swing traders who want to merge fundamentals with technical setups.
This indicator is intended as an educational aid for students of The Noiseless Trader. It bridges the gap between fundamental valuation (earnings multiples) and technical execution, allowing learners to apply classroom concepts in real-time market conditions.
US Liquidity-Weighted Business Cycle📈 BTC Liquidity-Weighted Business Cycle
This indicator models the Bitcoin macro cycle by comparing its logarithmic price against a log-transformed liquidity proxy (e.g., US M2 Money Supply). It helps visualize cyclical tops and bottoms by measuring the relative expansion of Bitcoin price versus fiat liquidity.
🧠 How It Works:
Transforms both BTC and M2 using natural logarithms.
Computes a liquidity ratio: log(BTC) – log(M2) (i.e., log(BTC/M2)).
Runs MACD on this ratio to extract business cycle momentum.
Plots:
🔴 Histogram bars showing cyclical growth or contraction.
🟢 Top line to track the relative price-to-liquidity trend.
🔴 Cycle peak markers to flag historical market tops.
⚙️ Inputs:
Adjustable MACD lengths
Toggle for liquidity trend line overlay
🔍 Use Cases:
Identifying macro cycle tops and bottoms
Timing long-term Bitcoin accumulation or de-risking
Confirming global liquidity's influence on BTC price movement
Note: This version currently uses US M2 (FRED:M2SL) as the liquidity base. You can easily expand it with other global M2 sources or adjust the weights.
Swing Trading Tool Provides Swing history and forecastSwing Forecast detects significant pivot swings and averages recent leg behavior to forecast the next swing Low/High in real time. Choose chart TF or a higher TF, set Lookback Legs and Min Move, and see a clean zig-zag of swings (with optional live tail), forecast lines on the latest bar, and a compact table showing Average start of up/down legs, Average leg sizes, forecasts, and a Trend row (EMA-based) that highlights whether the next likely move is toward a High or a Low (also shown as a label on the last candle). Includes alerts for price crossing the forecast next High/Low so you don’t miss inflection points. Designed for discretionary swing traders to gauge context and timing—not financial advice; always confirm with your own risk management and confluence.
NQ FVG + MSS ChecklistThe NQ FVG + MSS Quick Checklist is a visual trading HUD for Nasdaq 100 (NQ) futures. It helps traders quickly track key setup elements: session & previous day levels, 5M FVG, retests, 1M MSS, and 1M FVG inside MSS.
Each step can be manually ticked, and a Trade Score shows setup strength at a glance. The checklist table sits on top of all chart elements for easy reference without interfering with your analysis.
Features:
Step-by-step NQ trading checklist
Manual inputs with visual ✅/❌
Trade Score for quick setup confirmation
Table overlay always on top of the chart
Intraday Level Touch Counter V2.010 customizable levels (5 positive, 5 negative)
Fixed levels OR dynamic ATR-based levels
Historical statistics with percentage probabilities
Real-time current day monitoring
Customizable table positions and sizes
Up to 500 days of historical analysis
Earnings & Fundamentals TableShows the Earnings Comparison and Other important data. Will keep updating
Credit Spread Alpha SignalCredit Spread Alpha Signal: Complete Description
Introduction and Purpose
The Credit Spread Alpha Signal is a custom indicator developed for TradingView, designed to monitor the credit spread between High Yield (HY) bond yields and the 10-Year US Treasury yield (US10Y). This indicator serves as an advanced macroeconomic tool for traders and investors, helping to identify shifts in risk sentiment, monetary policy adjustments, or financial stress in the economy. It combines credit market data with statistical analysis to generate inverted buy and sell signals, where wider spreads (deteriorated conditions) are seen as buy opportunities (green), and tight spreads (risk-on) as sell opportunities (red).
The script is original, inspired by macroeconomic concepts, and visualizes data intuitively with histograms, background colors, and signal arrows. It is particularly useful for portfolio traders seeking confirmation signals or early warnings, integrating seamlessly into charts of stocks, bonds, or crypto assets.
Key Concepts
- HY Spread : Calculated as the difference between the High Yield Corporate Effective Yield (symbol: BAMLH0A0HYM2EY) and the US10Y Yield. Wider spreads indicate higher credit risk and economic deterioration (buy opportunity in the inverted logic). Tight spreads reflect market optimism (risk-on, sell opportunity).
- Inverted Signal Logic : Unlike traditional interpretation, here widening spreads (stress) trigger green and buy arrows (↑ below the chart), suggesting entry into long positions during panics. Compressing spreads trigger red and sell arrows (↓ above the chart), indicating exit during optimism peaks.
- Visual Highlights : Green for spread > +2.2σ (financial stress, buy); Red for spread < low threshold (risk-on, sell); Optional orange for recession risk (inverted curve + high spread, strong buy).
The indicator uses statistics like simple moving average (SMA) and standard deviation for dynamic thresholds, making it adaptable to different market periods.
How It Works: Internal Calculations
1. Data Sources : Uses `request.security` to fetch daily data ("D") from US10Y, US02Y (for inverted curve), and HY Yield.
2. Spread Calculation : `spread_hy = hy_yield - us10y`.
3. Statistics :
- Average (SMA) of the spread over the last `sma_length` days (default: 120).
- Standard deviation (stdev) over the same period.
- High threshold: `avg_spread_hy + std_mult * std_spread_hy` (default: multiplier 2.2).
- Low threshold: Editable value (default: 1.5%).
4. Conditions :
- High stress (green/buy): `spread_hy > high_threshold`.
- Compression (red/sell): `spread_hy < low_threshold`.
- Recession risk (orange/strong buy, optional): Inverted curve (`us10y < us2y`) + spread > `recession_spread_threshold`.
5. Crossings for Signals :
- Buy (green ↑ below): Crossover above high threshold (`ta.crossover`).
- Sell (red ↓ above): Crossunder below low threshold (`ta.crossunder`).
These calculations are processed bar by bar, ensuring real-time updates.
Visual Elements
- Histogram : Plots the spread as columns (`plot.style_columns`), dynamically colored: Light green (90% transparency) for stress/buy; Light red (90%) for compression/sell; Gray for neutral; Orange for recession.
- Reference Line : Horizontal red line at zero for benchmark.
- Background Coloring : Applies color to the main chart (overlay=true via force_overlay): Light green for buy, Light red for sell, Orange for recession, no color for neutral.
- Signal Arrows : ↑ Green below the bar for buy (widening_cross); ↓ Red above the bar for sell (compressed_cross).
- Floating Legend : Label in the lower panel explaining thresholds and conditions, dynamically updated with editable values.
Editable Settings (Inputs)
- SMA Period (days) : Default 120; adjusts the horizon for average and standard deviation.
- Standard Deviation Multiplier : Default 2.2; sets sensitivity of the high threshold (e.g., 2.2σ for moderate alerts).
- Low Threshold for Compression (%) : Default 1.5; level to detect risk-on/sell.
- Enable Recession Risk? : Default false; activates combined condition of inverted curve + high spread.
- Spread Threshold for Recession (%) : Default 2.0; level for recession (visible if enabled).
These inputs allow customization via the TradingView interface, without editing the code.
Integrated Alerts
The indicator includes alert conditions (`alertcondition`) for notifications in TradingView:
- "ALERT: HY Spread High": Spread exceeds threshold - financial stress (Buy).
- "ALERT: HY Spread Compressed": Spread compressed - risk-on conditions (Sell).
- "ALERT: HY Spread Widening (Buy)": Crossover above - buy opportunity in stress.
- "ALERT: HY Spread Compressed (Sell)": Crossunder below - sell opportunity in risk-on.
- "ALERT: Recession Risk (Strong Buy)": Inverted curve + high spread - high recession risk, consider buy (if enabled).
Set up alerts for email, SMS, or webhook notifications.
Usage Tips and Considerations
- Recommended Timeframe : Daily ("D"), but works on others; data is forced to daily for consistency.
- Practical Application : Add to charts of indices like SPY or QQQ to correlate with market moves. Test on historical periods (e.g., 2020 for widening, 2021 for compressing) to validate signals.
- Limitations : Relies on external data (US10Y, HY Yield), which may have delays; spreads are typically positive. Not financial advice – use with complementary analysis.
- Advanced Customization : Adjust thresholds for volatile markets; enable recession for more robust macro signals.
This indicator transforms credit data into actionable alpha, helping navigate economic cycles with visual precision. For support or modifications, refer to the source code or TradingView community.
EMA Vision – MTF InsightEMA Calculation Timeframe: Compute the EMA on any timeframe (e.g. Chart, 1H, 4H, 1D) while viewing on your chart’s timeframe.
Confirmed or “Developing” EMA: Choose between plotting EMA values only after the higher timeframe bar closes (no repaint) or allowing real-time updates mid-bar, mirroring the “Wait for timeframe closes” behavior.
Clean Multi-TF Overlays: Visualize EMAs from up to three higher timeframes (1H, 4H, 1D) on any chart—each using native plots to stay anchored and accurate, just like built-in EMAs.
Optional Visual Smoothing Line: Add a secondary “smoothing” MA line (using SMA, EMA, SMMA, WMA, or VWMA) without altering the core EMA—keeps you visually aligned with built-in styling.
Superior Accuracy: No repainting, no misalignment—just clean EMA values that reflect exactly what you’d see in TradingView’s standard EMA with the same settings.
Quarterly Theory —Q1,Q2,Q3,Q4The Quarterly Theory Indicator is a trading tool designed to visualize the natural time-based cycles of the market, based on the principles of Quarterly Theory, popularized by the Inner Circle Trader (ICT). The indicator divides market sessions into four equal “quarters” to help traders identify potential accumulation, manipulation, and distribution phases (AMD model) and improve the timing of entries and exits.
Key Features:
Quarter Divisions (Q1–Q4):
Each market session (e.g., NY AM, London, Asia) is divided into four quarters.
Vertical lines mark the beginning of each quarter, making it easy to track session structure.
Optional labels show Q1, Q2, Q3, and Q4 directly on the chart.
True Open (Q2 Open):
The True Open is the opening price of Q2, considered a key reference point in Quarterly Theory.
A horizontal red line is drawn at the True Open price with a label showing the exact value.
This line helps traders filter bullish and bearish setups:
Buy below the True Open if the market is bullish.
Sell above the True Open if the market is bearish.
Session Awareness:
The indicator can automatically detect market sessions and reset lines and labels for each new session.
Ensures that only the current session’s True Open and quarter lines are displayed, reducing chart clutter.
Timeframe Flexibility:
Works on any chart timeframe (1-minute to daily).
Maintains accurate alignment of quarters and True Open regardless of the timeframe used.
Purpose of Quarterly Theory:
Quarterly Theory is based on the idea that market behavior is fractal and time-driven. By dividing sessions into four quarters, traders can anticipate potential market phases:
Q1: Initial price discovery and setup for the session.
Q2: Accumulation or manipulation phase, where the True Open is established.
Q3: Manipulation or Judas Swing phase designed to trap traders.
Q4: Distribution or trend continuation/reversal.
By visualizing these quarters and the True Open, traders can reduce ambiguity, identify high-probability setups, and improve their timing in line with the ICT AMD (Accumulation, Manipulation, Distribution) framework.
