QSL Upside/DownsideThe QSL Upside/Downside Indicator helps traders estimate potential gains and losses using Conditional Value at Risk (cVaR), a statistical measure that assesses both downside risk and upside potential beyond standard volatility. Instead of fixed timeframes (daily, weekly, etc.), traders can set a custom lookback period (in days) to analyze market behavior over their preferred time frame.
How It Works
The indicator calculates cVaR over the chosen period to determine how much an investment could move up or down based on past price behavior. It does this by:
• Mean Return – The average price movement over the period.
• Standard Deviation – Measures price fluctuations from the average.
• cVaR Confidence Interval (95%) – Estimates worst-case losses, meaning the downside projection reflects the worst 5% of expected losses.
• Upside Potential (Best 5%) – Instead of only considering risk, this indicator also calculates the potential upside by measuring returns in the top 5% of past price movements.
This provides a more complete view of what traders can expect—both in terms of risk and potential reward.
Key Features
✅ Custom Lookback Period – Set any number of days to analyze.
✅ cVaR Calculation (95% Confidence Interval) – Identifies extreme downside risks.
✅ Upside Potential (Best 5%) – Estimates how much an investment could rise in a best-case scenario.
✅ Clear Table Display – Quickly see projected best and worst-case portfolio values.
Understanding Probabilities: Upside & Downside Potential
Most traders focus on risk, but it’s equally important to understand potential gains. This indicator provides a probability-based view of expected market moves:
• 95% Confidence Interval (Downside cVaR) – There’s a 5% chance that losses could exceed this level.
• 95% Confidence Interval (Upside cVaR) – There’s a 5% chance that gains could be greater than this level.
• The remaining 90% of expected returns fall between these two extremes.
By knowing both potential losses and gains, traders can make more balanced, data-driven decisions rather than only focusing on worst-case scenarios.
Why Use This Indicator?
🔹 Better Risk & Reward Assessment – Understand both downside risk and upside potential.
🔹 More Realistic Market Projections – Uses probabilities instead of simple historical averages.
🔹 Flexible & Customizable – Works with any asset and any time period.
With this tool, QSL members can strategically plan trades, knowing the expected best and worst-case outcomes with a 95% probability range. 🚀
Statistics
Date Display with Bar Counter and EMA===== ENGLISH DESCRIPTION =====
OVERVIEW:
This is a multi-function indicator that combines three useful tools in one script:
1. Date Display - Shows current date and symbol information in a customizable table
2. Bar Counter - Displays sequential bar numbers at specified intervals
3. EMA (Exponential Moving Average) - Plots an EMA line with customizable settings
FEATURES:
1. DATE DISPLAY:
- Shows date in full format (e.g., "Mon ∙ January 1, 2023") or short format (e.g., "Mon ∙ 01.01.23")
- Option to show/hide day of week
- Option to show/hide symbol and timeframe information
- Customizable table position (top/middle/bottom, left/center/right)
- Automatic color adjustment based on chart background
2. BAR COUNTER:
- Displays sequential bar numbers below price bars
- Customizable display frequency (every X bars)
- Special handling for Hong Kong futures (resets at market open)
- Different reset logic based on timeframe (daily, weekly, monthly)
- Customizable text size and color
3. EMA INDICATOR:
- Customizable period length (default: 20)
- Option to use different timeframe for calculation
- Option to wait for timeframe close for more stable signals
- Customizable line color
USAGE INSTRUCTIONS:
- After adding the indicator to your chart, customize settings in the "Format" panel
- The Date Display table will appear at your chosen position on the chart
- Bar numbers will appear below price bars at your specified frequency
- The EMA line will be plotted on the chart with your chosen settings
- Colors automatically adjust to light/dark chart themes
===== 中文说明 =====
概述：
这是一个多功能指标，将三个实用工具合并为一个脚本：
1. 日期显示 - 在可自定义的表格中显示当前日期和交易品种信息
2. K线计数器 - 按指定间隔显示K线序号
3. EMA指数移动平均线 - 绘制可自定义设置的EMA线
功能特点：
1. 日期显示：
- 支持完整格式（如"Mon ∙ January 1, 2023"）或简短格式（如"Mon ∙ 01.01.23"）
- 可选择显示/隐藏星期几
- 可选择显示/隐藏交易品种和时间周期信息
- 可自定义表格位置（顶部/中部/底部，左侧/中间/右侧）
- 根据图表背景自动调整颜色
2. K线计数器：
- 在价格K线下方显示序号
- 可自定义显示频率（每X根K线）
- 对香港期货有特殊处理（在开市时重置）
- 根据时间周期（日线、周线、月线）使用不同的重置逻辑
- 可自定义文字大小和颜色
3. EMA指标：
- 可自定义周期长度（默认：20）
- 可选择使用不同的时间周期进行计算
- 可选择等待时间周期结束以获得更稳定的信号
- 可自定义线条颜色
使用说明：
- 将指标添加到图表后，在"格式"面板中自定义设置
- 日期显示表格将出现在您选择的图表位置
- K线序号将按您指定的频率显示在价格K线下方
- EMA线将根据您选择的设置绘制在图表上
- 颜色会根据浅色/深色图表主题自动调整
*/
Machine Learning + Geometric Moving Average 250/500Indicator Description - Machine Learning + Geometric Moving Average 250/500
This indicator combines password-protected market analysis levels with two powerful Geometric Moving Averages (GMA 250 & GMA 500).
🔒 Password-Protected Custom Levels
Access pre-defined long and short price levels for select assets (crypto, stocks, and more) by entering the correct password in the indicator settings.
Once the correct password is entered, the indicator automatically displays:
Green horizontal lines for long entry zones.
Red horizontal lines for short entry zones.
If the password is incorrect, a warning label will appear on the chart.
📈 Geometric Moving Averages (GMA)
This indicator calculates GMA 250 and GMA 500, two long-term trend-following tools.
Unlike traditional moving averages, GMAs use logarithmic smoothing to better handle exponential price growth, making them especially useful for assets with strong trends (e.g., crypto and tech stocks).
GMA 250 (white line) tracks the medium-term trend.
GMA 500 (gold line) tracks the long-term trend.
⚙️ Customizable & Flexible
Works on multiple assets, including cryptocurrencies, equities, and more.
Adaptable to different timeframes and trading styles — ideal for both swing traders and long-term investors.
This indicator is ideal for traders who want to blend custom support/resistance levels with advanced geometric trend analysis to better navigate both volatile and trending markets.
MacroJP: US Macro Conditions & Forward GuidanceMacroJP is a comprehensive, free-to-use TradingView indicator designed to provide a clear snapshot of the US macroeconomic environment. It consolidates key economic metrics into a single, interactive dashboard, allowing traders and investors to quickly assess current conditions and adjust their portfolio biases accordingly.
How It Works:
• Data Aggregation:
The indicator pulls monthly data from reputable free economic sources—specifically, ISM Manufacturing PMI, US CPI YoY, US M2 Money Supply, and US Treasury yields (10-year and 2-year). This robust dataset forms the backbone of the analysis.
• Composite Calculations:
By calculating a Composite Inflation Indicator (the average of CPI YoY and the yield spread) and evaluating the year-over-year change in M2, MacroJP gauges both the inflationary pressures and liquidity trends in the economy. These composite metrics offer a nuanced view that goes beyond single-indicator analysis.
Regime Classification:
The core strength of MacroJP lies in its quadrant classification system. It categorises the macro environment into four distinct regimes based on the direction of economic growth (derived from PMI) and inflation (from the Composite Inflation Indicator):
• Expansion (Reflation): Indicative of a recovering economy with rising production and moderate inflation—ideal for a bullish equity bias.
• Stagflation Risk: A scenario of weak growth coupled with high inflation, where a defensive posture is recommended.
• Slowdown (Deflationary): Characterised by contracting economic activity and falling prices, suggesting a move towards cash or high-quality bonds.
• Disinflationary Boom: Reflects strong growth with stable or falling inflation—an optimal environment for equities with some bond diversification.
Forward Guidance:
To enhance its predictive capability, MacroJP incorporates leading indicators by shifting key data points. For instance, it uses a forward-shifted M2 YoY value and a one-month shifted CPI proxy to offer insights into near-term trends. This approach helps in anticipating changes, providing a sort of “forward guidance” that can inform strategic asset allocation.
User Education:
The indicator features an intuitive table with on-hover tooltips that explain each metric, its relevance, and recommended investment biases. This educational layer is designed to empower users to not only monitor the economic pulse but also to understand the ‘why’ behind each reading, making it a valuable tool for both novice and experienced investors.
MacroJP brings clarity to complex macroeconomic dynamics, allowing users to make more informed decisions in volatile markets. Its seamless integration of free public data and detailed on-chart annotations makes it an indispensable tool for anyone looking to understand the broader economic context impacting their investments.
— Jaroslav
Price Change IndicatorPrice Change Indicator (PCI)
Version: 1.0
Author: LazyTrader 🚀
🔍 Overview
The Price Change Indicator (PCI) helps traders visualize and compare price changes between the current bar and the previous bar. It provides a customizable display of price changes in two formats:
Percentage (%) Change – Relative price movement.
Natural Change – Absolute difference in price units.
⚙️ Key Features
✅ Customizable Calculation Method: Choose how the price change is calculated:
Opening Price
Closing Price
High
Low
✅ Flexible Display Format:
Show Percentage (%) Change.
Show Natural (Absolute) Change in price.
✅ Adjustable Sensitivity with Multiplier:
100 (Standard Change)
1000 (Small Change)
10000 (Tiny Change)
✅ Intuitive Labeling:
Green label (above bar) for increase.
Red label (below bar) for decrease.
No label if no change.
Large, easy-to-read labels for better visibility.
✅ Perfect for Any Market:
Stocks 📈
Forex 💱
Crypto 🚀
Commodities 🛢️
📊 How It Works
The indicator calculates the difference between the current and previous bar’s price based on your chosen method.
The result is displayed as either a percentage (%) or a natural price change.
If the price has increased, a green label is displayed above the bar.
If the price has decreased, a red label is displayed below the bar.
⚡ How to Use
Add the indicator to your chart.
Go to settings and customize:
Select calculation method (Open, Close, High, Low).
Choose display format (% or Natural Change).
Adjust multiplier for more sensitivity.
Analyze the labels to see price movements easily!
🔧 Settings Explained
Setting Description
Price Calculation Method: Choose Open, Close, High, or Low price for comparison.
Display Format: Show either % Change or Natural Change.
Multiplier: Apply 100, 1000, or 10000 to scale small price changes.
Show Labels: Toggle labels on/off.
🎯 Best Use Cases
🔹 Identifying strong price movements
🔹 Spotting trends and momentum shifts
🔹 Comparing price movement intensity
🔹 Works for scalping, swing trading, and long-term analysis
Pearson Correlation Best MA [victhoreb]Pearson Correlation Best MA is an innovative indicator designed to dynamically select the moving average that best aligns with price action based on the Pearson correlation coefficient. Here’s what it does:
- Multiple MA Evaluation: The indicator computes eight different moving averages — SMA, EMA, DEMA, TEMA, LSMA, RMA, WMA, and VWMA — using a user-defined period.
- Correlation Analysis: For each moving average, it calculates the Pearson correlation with the price (using the average of high and low) over a specified correlation length, then identifies the one with the highest correlation.
- Optional Smoothing: Users can opt to further smooth the selected best moving average for an even more refined signal.
- Visual Cues: The indicator plots the “Best MA” on the chart, colors it based on its direction (bullish or bearish), and also displays the correlation value. Additionally, it can color the price candles to reflect the trend indicated by the best moving average.
- Customizability: All key parameters such as moving average length, correlation length, smoothing options, and color settings are fully customizable.
This tool helps traders by automatically adapting to market conditions—highlighting the moving average that is most in sync with current price trends, potentially improving trade timing and decision-making.
ALN Sessions - for NQ2/24/25 - v1
This script does not calculate any stats.
It uses the sessions and stats from NQStats/ALNSessions
Option to draw boxes around the session times.
Options to adjust the table text/background colors/position.
The logic will determine how the Asia and London sessions interact.
Once the New York session starts (8am), it will then display the appropriate stats.
Script quirk...fyi. The script removes the stats table at 6PM.
That's just how it works. I used grok to assist with the code, and it got funky. It works, so I left it that way.
The appropriate stats table will then be displayed when the next New York session begins.
---
There is another table I used just for troubleshooting to show the values of the Asia/London session highs/lows. This can just be ignored.
3/3/25 - republished.
US Yield Curve (2-10yr)US Yield Curve (2-10yr) by oonoon
2-10Y US Yield Curve and Investment Strategies
The 2-10 year US Treasury yield spread measures the difference between the 10-year and 2-year Treasury yields. It is a key indicator of economic conditions.
Inversion (Spread < 0%): When the 2-year yield exceeds the 10-year yield, it signals a potential recession. Investors may shift to long-term bonds (TLT, ZROZ), gold (GLD), or defensive stocks.
Steepening (Spread widening): A rising 10-year yield relative to the 2-year suggests economic expansion. Investors can benefit by shorting bonds (TBT) or investing in financial stocks (XLF). The Amundi US Curve Steepening 2-10Y ETF can be used to profit from this trend.
Monitoring the curve: Traders can track US10Y-US02Y on TradingView for real-time insights and adjust portfolios accordingly.
Autocorrelation Price Forecasting [The Quant Science]Discover how to predict future price movements using autocorrelation and linear regression models to identify potential trading opportunities.
An advanced model to predict future price movements using autocorrelation and linear regression. This script helps identify recurring market cycles and calculates potential gains, with clear visual signals for quick and informed decisions.
Main function
This script leverages an autocorrelation model to estimate the future price of an asset based on historical price relationships. It also integrates linear regression on percentage returns to provide more accurate predictions of price movements.
Insights types
1) Red label on a green candle: Bearish forecast and swing trading opportunity.
2) Red label on a red candle: Bearish forecast and trend-following opportunity.
3) Green label on a red candle: Bullish forecast and swing trading opportunity.
4) Green label on a green candle: Bullish forecast and trend-following opportunity.
IMPORTANT!
The indicator displays a future price forecast. When negative, it estimates a future price drop.
When positive, it estimates a future price increase.
Key Features
Customizable inputs
Analysis Length: number of historical bars used for autocorrelation calculation. Adjustable between 1 and 200.
Forecast Colors: customize colors for bullish and bearish signals.
Visual insights
Labels: hypothetical gains or losses are displayed as labels above or below the bars.
Dynamic coloring: bullish (green) and bearish (red) signals are highlighted directly on the chart.
Forecast line: A continuous line is plotted to represent the estimated future price values.
Practical applications
Short-term Trading: identify repetitive market cycles to anticipate future movements.
Visual Decision-making: colored signals and labels make it easier to visualize potential profit or loss for each trade.
Advanced Customization: adjust the data length and colors to tailor the indicator to your strategies.
Limitations
Prediction price models have some limitations. Trading decisions should be made with caution, considering additional market factors and risk management strategies.
Price AltimeterThis indicator should help visualize the price, inspired by a Digital Altimeter in a Pilots HUD.
It's by default calibrated to Bitcoin, with the small levels showing every $100 and the larger levels setup to display on every $1000. But you can change this to whatever you want by changing the settings for: Small and Large Level Increments.
The default colors are grey, but can be changed to whatever you want, and there are two cause if you want they work as a gradient.
There are options to fade as the values go away from the current price action.
There are options for Forward and Backward Offsets, 0 is the current price and each value represents a candle on whatever time frame your currently on.
Other Options include the Fade Ratio, the Line Width and Style, which are all self explanatory.
Hope you Enjoy!
Backtest it in fast mode to see it in action a little better...
Known Issues:
For some reason it bug's out when either or are displaying more than 19 lines, unsure why so its limited to that for now.
Extra Note on what this may be useful for: I always wanted to make this, but didn't realize how to put things in front of the price action... Offset! Duh! Anyways, I thought of this one because I often it's hard on these charts to really get an idea for absolute price amounts across different time frames, this in an intuitive, at a glance way to see it because the regular price thing on the right always adds values between values when you zoom in and you can sometimes get lost figuring out the proportions of things.
Could also be useful for Scalping?
ATH & 52-Week High Tracker### **Indicator Name: ATH & 52-Week High Tracker**
📌 **Description:**
This indicator provides a **real-time table** displaying key stock statistics to help traders analyze price levels relative to historical highs. It includes:
✔️ **All-Time High (ATH)** price
✔️ **% Change from ATH**
✔️ **52-Week High** price
✔️ **% Change from 52-Week High**
By using this indicator, traders can quickly identify how far a stock has retraced from its **historical peaks**, which can be useful for momentum trading, breakout strategies, and trend analysis.
📊 **What You Get with This Indicator:**
✅ A clear **visual table** with important stock data
✅ Quick reference to **historical price levels**
✅ Helps in identifying potential **breakout or recovery zones**
✅ Useful for both **intraday and swing traders**
⚠️ **Disclaimer:**
This indicator is for **informational purposes only** and should not be considered **financial advice, a trading strategy, or a buy/sell signal.** Always conduct your own analysis and risk management before making trading decisions. 🚀📈
Let me know if you need any refinements! 😊
EMA Alignment & Spread Monitor (Sang Youn)Overview
The EMA Alignment & Spread Monitor is a dynamic trading script designed to monitor EMA (Exponential Moving Average) alignments, track spread deviations, and provide real-time alerts when significant conditions are met. This script allows traders to customize their EMA periods, analyze market trends based on EMA positioning, and receive visual and audio alerts when key spread conditions occur.
🔹 Key Features
✅ Customizable EMA Periods – Users can input their own EMA lengths to adapt the script to various market conditions. (Default: 5, 10, 20, 60, 120)
✅ EMA Alignment Detection – Identifies bullish alignment (all EMAs in ascending order) and bearish alignment (all EMAs in descending order).
✅ Spread Calculation & Monitoring – Computes the spread difference between each EMA and tracks the average spread over a user-defined period.
✅ Deviation Alerts – Notifies traders when:
Bullish Trend: The spread exceeds its average, indicating a potential strong uptrend.
Bearish Trend: The spread falls below its average, signaling a possible downtrend.
✅ Chart Annotations – Displays 📈 (green triangle) when bullish spread exceeds average and 📉 (red triangle) when bearish spread drops below average for easy visualization.
✅ Real-time Alerts – Sends alerts when spread conditions are met, helping traders react to market shifts efficiently.
✅ Spread Histogram – Visual representation of bullish and bearish spread levels for trend analysis.
🔹 How It Works
1️⃣ Set your EMA periods in the script settings (default: 5, 10, 20, 60, 120).
2️⃣ Define the spread average calculation length (default: 50 candles).
3️⃣ The script tracks EMA alignment to determine bullish or bearish trends.
4️⃣ If the spread deviates significantly from its average, the script:
Places a 📈 green triangle above candles in a bullish trend when spread > average.
Places a 📉 red triangle below candles in a bearish trend when spread < average.
Triggers an alert for timely decision-making.
5️⃣ Use the histogram & real-time alerts to stay ahead of market movements.
ICT Session by LasinsName: ICT Session by Lasins
Purpose: To visually identify and differentiate between the Asian, London, and New York trading sessions on the chart.
Features:
Highlights the background of the chart during each session.
Includes a mini dashboard in the top-right corner to show the active session.
Allows customization of time zones (exchange timezone or UTC).
Displays copyright and author information.
Key Components
Inputs:
useExchangeTimezone: A boolean input to toggle between using the exchange timezone or UTC for session times.
showDashboard: A boolean input to toggle the visibility of the mini dashboard.
Session Times:
The script defines three trading sessions:
Asian Session: 2000-0000 UTC (or adjusted for exchange timezone).
London Session: 0200-0500 UTC (or adjusted for exchange timezone).
New York Session: 0700-1000 UTC (or adjusted for exchange timezone).
Session Detection:
The is_session function checks if the current time falls within a specified session using the time function.
Background Coloring:
The bgcolor function is used to highlight the chart background during each session:
Asian Session: Red background.
London Session: Green background.
New York Session: Blue background.
Mini Dashboard:
A table is created in the top-right corner of the chart to display the active session and its corresponding color.
The dashboard includes:
A header row with "Session" and "Color".
Rows for each session (Asian, London, New York) with their respective colors.
Copyright and Author Information:
A label is added to the chart to display the copyright and author information ("© ICT Session by Lasins Raj").
How It Works
The script checks the current time and compares it to the predefined session times.
If the current time falls within a session, the chart background is highlighted with the corresponding color.
The mini dashboard updates to reflect the active session.
The copyright and author information is displayed at the bottom of the chart.
Customization
You can adjust the session times in the script to match your preferred timezone or trading hours.
The useExchangeTimezone input allows you to switch between UTC and the exchange timezone.
The showDashboard input lets you toggle the visibility of the mini dashboard.
Example Use Case
Traders who follow the ICT (Inner Circle Trader) methodology can use this indicator to identify key trading sessions and plan their trades accordingly.
The visual representation of sessions helps traders quickly recognize when major markets are open and active.
Market Snap Shot with Pine ScreenerMarket Snap Shot
The Market Snap Shot is a comprehensive technical analysis tool designed to track and display key price metrics across multiple timeframes, including daily, weekly, monthly, quarterly, and yearly data. This script provides a range of essential calculations for traders and investors, enabling them to assess price action, volatility, and market trends at a glance.
Features:
Daily Metrics: Includes the daily percentage change, closing range relative to the daily high/low.
Weekly Metrics: Tracks weekly open, close, range, and calculates week-to-date performance for a broader market view.
Monthly Metrics: Provides similar calculations for monthly price action, offering insights into monthly performance.
Quarter-to-Date (QTD): Displays performance for the current quarter, offering insights into quarterly price movements.
Year-to-Date (YTD): Calculates year-to-date price change, helping users track performance relative to the start of the year.
52-Week High/Low: Displays the current price's distance from the 52-week high and low, giving context to long-term price levels.
Usage:
Traders can use this screener to quickly assess the current market position and make informed decisions based on short-term and long-term trends.
Investors can leverage the 52-week and YTD metrics to gauge the overall strength of an asset in the market.
The tool is versatile for both active traders looking for real-time performance data and for those focusing on longer-term market trends.
Instructions:
This script displays multiple metrics such as percentage changes and range data for daily, weekly, monthly, quarterly, and yearly timeframes. It is designed to be used as a screener tool to assess price action and monitor performance across these key time periods.
Warning:
The "Market Snap Shot" does not provide buy or sell signals but rather serves as a performance tracking tool. Users are encouraged to use this data in conjunction with other technical and fundamental analysis tools.
Trend Detector [victhoreb]Trend Detector is a streamlined indicator that uses the Pearson correlation coefficient between the average price and time to determine market trends. It measures how closely price movement follows the progression of time over a user-defined period, providing a clear gauge of trend direction on a scale from -1 to 1.
How It Works:
The indicator calculates the correlation between price and time. A positive correlation means that as time advances, the price generally rises—signaling an uptrend. Conversely, a negative correlation indicates that the price tends to fall over time, highlighting a downtrend.
With its simple yet effective approach, Trend Detector offers traders an immediate visual and quantitative insight into prevailing market trends.
Ceres Trader NYSE Tick Indicator With Threshold AlertsThe Ceres Trader NYSE Tick Indicator provides real-time alerts for significant shifts in the NYSE Tick, empowering traders to identify potential overbought and oversold market conditions. It displays labels directly on the chart when the Tick reaches predefined thresholds, offering a clear and immediate visual representation of market sentiment.
Key Features:
Threshold-Based Alerts:
Highlights "High Tick" and "Low Tick" conditions when the Tick exceeds user-defined thresholds (default: 400 and -400).
Identifies "Extreme High Tick" and "Extreme Low Tick" conditions for more significant shifts (adjusted default: 800 and -800).
Visual Labels:
Displays colored labels directly on the price chart, indicating the type of Tick event and its value.
Green labels signal potential overbought conditions, while red labels indicate potential oversold conditions.
Low tick labels are placed below the price bar, and high tick labels are placed above the price bar for improved visibility.
Real-Time Data:
Utilizes the NYSE Tick symbol ("TICK") to provide up-to-the-minute market data.
User-Friendly Design:
Simple and intuitive design, suitable for traders of all experience levels.
How to Use:
Add the "Ceres Trader NYSE Tick Indicator with Threshold Alerts" to your TradingView chart.
Observe the colored labels that appear when the Tick reaches the specified thresholds.
Use these alerts to identify potential trading opportunities based on overbought or oversold market conditions.
Consider adjusting the threshold values within the indicator settings to align with your specific trading strategy.
Global Liquidity Indicator in USDThis indicator aggregates the total central bank balance sheets and M2 money supply for the USA, Canada, China, European Union, Japan, and the UK, converting all values to USD and normalizing them to trillions for easy visualization. It plots three lines: Total Balance Sheet, Total M2, and Combined Total, providing a comprehensive view of global liquidity trends.
Key Features:
Dynamic Coloring: Customize line colors based on direction—green for upward trends, red for downward (or any colors you choose), with independent on/off toggles for each line.
Real-Time Currency Conversion: Uses live forex rates (e.g., USD/CNY, USD/EUR) for accurate USD conversions.
Nirmal Fair Value GapsICT Fair Value Gaps
Trade Wisely
How a Fair Value Gap Works
Formation:
A Fair Value Gap occurs when a strong price movement (usually from institutional orders) creates an imbalance between buyers and sellers.
This is typically seen in a three-candle pattern, where the middle candle has a large body, and the two surrounding candles have wicks but little overlap with the middle candle’s range.
Identification:
The FVG is marked between the high of the first candle and the low of the third candle (for bullish gaps).
For bearish gaps, it’s the low of the first candle and the high of the third candle.
Market Behavior Around FVG:
Price often retraces into the gap before resuming its original direction.
This happens because the market seeks to "fill" the imbalance where few trades occurred.
Traders use FVGs as potential entry zones for trend continuation trades.
Trading Fair Value Gaps
In an Uptrend:
Look for bullish fair value gaps as potential support zones for buy entries.
Price may dip into the gap and then continue upward.
In a Downtrend:
Look for bearish fair value gaps as potential resistance zones for sell entries.
Price may retrace into the gap and then drop further.
Confluence Factors:
FVGs work best when combined with other strategies like order blocks, liquidity zones, or key Fibonacci levels.
Futures Open/High/Low TablesAdds (up to) 3 tables to a chart, displaying Open/High/Low data for today (RTH and extended hours), yesterday, and the current week / month -- to help with intraday analysis of a futures ticker.
The tables only appear on intraday charts (5min, 30min, etc). On a Daily/Weekly/etc chart they are not calculated or shown.
In addition to Open/High/Low, the "Current" table in the top-right shows a live measurement of # of points from the open, the RTH open, and the highs/lows.
Lastly, the 9:30am ET open and the 4pm RTH close are by default marked with a shaded background (on intraday charts) for easy visual reference, and also to help with adjusting the session time to accommodate time zone issues if they occur.
Tested on ES in Eastern Time Zone, but should work on any futures instrument and any time zone by adjusting the Session Time setting.
Celestial Pair Spread Hello friends, after a very long time!
Today, I tried to put into code an idea that came to my mind spontaneously and suddenly.
Note :
This script is experimental and improvable.
I haven't had a chance to try it yet.
TIMEFRAME : 1D (Daily Bars)
CELESTIAL SPREAD
The spread moves in a very limited area and is consistent within itself, especially on days far from the end of the contract.
That's why there is a reassuring sky atmosphere. That's why this name was given completely improvised.
Basic logic of the script
We enter the name of the CME Futures contract we want to enter:
Ex : CL1! , ES1! , ZC1! , NQ1!
The script creates us a pair trade parity divided into secondary contracts.
Example : ES1!/ES2!
What is pair trading?
I will explain briefly here.
For users who are wondering:
www.investopedia.com
Let's get back to our topic.
Now we have created a parity that does not actually exist.
This parity is the manifestation of the relative movements of two contracts.
When the parity rises, ES1! increased,ES2! has fallen.
In the opposite case, We can say: ES1! Contract has been dropped ES2! has increased.
Pair trading is generally a trade that needs to be kept in mind from time to time.
It is a method preferred by professionals who can process very quickly.
Market risk is minimal, but since 2 contracts are purchased, more money is paid and very low percentage profits are made.
It is very expensive to do pair trading, especially with oil and its derivatives and interest security derivatives.
The contract we are considering has micros. (small-item contracts tied to the same value)
So when we switch to our broker MES1!/MES2! We will trade.
For all CME futures :
www.cmegroup.com
Anyway, let's continue:
The script created the parity showing its relationship with the next contract and plotted it as bars.
Celestial bands are just like Bollinger bands, but they consist of 3 bands based on percentage changes rather than standard deviation.
The middle band is obtained from moving averages.
The upper and lower bands are the middle band subjected to a threshold value.
The threshold value can be changed.
0.15 percent was charged for this script.
CAUTION :
As can be seen in the example below;
The most important thing is not to make any transactions when the contract switch dates are approaching.
Therefore, it is recommended to use it just below the main chart.
The blue bars in the parity are
Values that outside the upper and lower threshold values are colored blue.
For this condition
Alerts has been added.
Don't forget to add alert and edit.
MAIN PURPOSE
It is aimed to start a pair trade when such conditions come and to quickly close the trades when the parity basis reaches the value.
OTHER IMPORTANT POINTS
Other issues are broker related issues.
Difference between initial margins and maintanence margins of contracts (between 1! and 2!)
It shouldn't be too high.
The commission should not be too high.
Leverage must be high because the profit percentage is very low.
To calculate leverage you must divide your contract size by the relevant margin requirement.
Sample margin requirement table:
www.interactivebrokers.com
RISKS
It is an experimental and intellectual script,
the risk of contract price differences (maybe it will not leave a profit except for very extreme values)
I remind you of the quickness risk that comes from a two-legged trade.
Alerts definitely synchronized with an audible alert sent to a smartphone as an e-mail notification and displayed on the locked screen for quick action.
Best regards!
DCSessionStatsOHLC_v1.0DCSessionStatsOHLC_v1.0
© dc_77 | Pine Script™ v6 | Licensed under Mozilla Public License 2.0
This indicator overlays customizable session-based OHLC (Open, High, Low, Close) statistics on your TradingView chart. It tracks price action within user-defined sessions, calculates average manipulation and distribution levels based on historical data, and visually projects these levels with lines and labels. Additionally, it provides a session count table to monitor bullish and bearish sessions.
Key Features:
Session Customization: Define session time (e.g., "0000-1600") and time zone (e.g., UTC, America/New_York). Analyze up to 20 historical sessions.
Anchor Line: Displays a vertical line at session start with customizable style, color, and optional label.
Session Open Line: Plots a horizontal line at the session’s opening price with adjustable appearance and label.
Manipulation Levels: Calculates and projects average price extensions (high/low relative to open) for manipulative moves, shown as horizontal lines with labels.
Distribution Levels: Displays average price ranges (high/low beyond open) for distribution phases, with customizable lines and labels.
Visual Flexibility: Adjust line styles (solid, dashed, dotted), colors, widths, label sizes, and projection offsets (bars beyond session start).
Session Stats Table: Optional table showing counts of bullish (close > open) and bearish (close < open) sessions, with configurable position and size.
How It Works:
Tracks OHLC data within each session and identifies session start/end based on the specified time range.
Computes averages for manipulation (e.g., low below open in bullish sessions) and distribution (e.g., high above open) levels from past sessions.
Projects these levels forward as horizontal lines, extending them by a user-defined offset for easy reference.
Updates a table with real-time bullish/bearish session counts.
Use Case:
Ideal for traders analyzing intraday or custom session behavior, identifying key price levels, and gauging market sentiment over time.
Toggle individual elements on/off and fine-tune visuals to suit your trading style.
SuperTrend + Relative Volume (Kernel Optimized)Introducing our new KDE Optimized Supertrend + Relative Volume Indicator!
This innovative indicator combines the power of the Supertrend indicator along with Relative Volume. It utilizes the Kernel Density Estimation (KDE) to estimate the probability of a candlestick marking a significant trend break or reversal.
❓How to Interpret the KDE %:
The KDE % is a crucial metric that reflects the likelihood that the current candlestick represents a true break in the SuperTrend line, supported by an increase in relative volume. It estimates the probability of a trend shift or continuation based on historical SuperTrend breaks and volume patterns:
Low KDE %: A lower probability that the current break is significant. Price action is less likely to reverse, and the trend may continue.
Moderate KDE - High KDE %: An increased possibility that a trend reversal or consolidation could occur. Traders should start watching for confirmation signals.
📌How Does It Work?
The SuperTrend indicator uses the Average True Range (ATR) to determine the direction of the trend and identifies when the price crosses the SuperTrend line, signaling a potential trend reversal. Here's how the KDE Optimized SuperTrend Indicator works:
SuperTrend Calculation: The SuperTrend indicator is calculated, and when the price breaks above (bullish) or below (bearish) the SuperTrend line, it is logged as a significant event.
Relative Volume: For each break in the SuperTrend line, we calculate the relative volume (current volume vs. the average volume over a defined period). High relative volume can suggest stronger confirmation of the trend break.
KDE Array Calculation: KDE is applied to the break points and relative volume data:
Define the KDE options: Bandwidth, Number of Steps, and Array Range (Array Max - Array Min).
Create a density range array using the defined number of steps, corresponding to potential break points.
Apply a Gaussian kernel function to the break points and volume data to estimate the likelihood of the trend break being significant.
KDE Value and Signal Generation: The KDE array is updated as each break occurs. The KDE % is calculated for the breakout candlestick, representing the likelihood of the trend break being significant. If the KDE value exceeds the defined activation threshold, a darker bullish or bearish arrow is plotted after bar confirmation. If the KDE value falls below the threshold, a more transparent arrow is drawn, indicating a possible but lower probability break.
⚙️Settings:
SuperTrend Settings:
ATR Length: The period over which the Average True Range (ATR) is calculated.
Multiplier: The multiplier applied to the ATR to determine the SuperTrend threshold.
KDE Settings:
Bandwidth: Determines the smoothness of the KDE function and the width of the influence of each break point.
Number of Bins (Steps): Defines the precision of the KDE algorithm, with higher values offering more detailed calculations.
KDE Threshold %: The level at which relative volume is considered significant for confirming a break.
Relative Volume Length: The number of historic candles used in calculating KDE %
DCStatCalcs_v0.1DCStatCalcs_v0.1 - Session-Based Statistical Projections
This Pine Script indicator overlays customizable horizontal lines on your chart to visualize a session's opening price and its statistical projections based on historical standard deviation (SD). Designed for traders who want to analyze price behavior within defined time sessions, it calculates and plots the session open price along with optional projection lines at 0.5, 1.0, 1.5, 2.0, and 2.5 standard deviations above and below the open, derived from past session data.
Key Features:
Customizable Sessions: Define your session time (e.g., 0600-1500) and timezone (e.g., America/New_York).
Historical Analysis: Uses a user-specified number of past sessions (default: 20) to compute the standard deviation of price movements relative to the session open.
Projection Lines: Displays toggleable lines at multiple SD levels with adjustable styles, colors, and widths for easy visualization.
Flexible Display: Extend lines beyond the current bar with an offset setting, and adjust label sizes for clarity.
Real-Time Updates: Lines dynamically extend as the session progresses, keeping projections relevant to the current bar.
How It Works:
At the start of each user-defined session, the indicator records the opening price and calculates the SD based on price deviations from the open across historical sessions. It then plots the open price line and, if enabled, projection lines at the specified SD intervals. These lines help traders identify potential support, resistance, or volatility zones based on statistical norms.
Use Case:
Ideal for day traders or analysts working with intraday charts to gauge price ranges and volatility within specific trading sessions, such as market opens or key economic hours.
Published under the Mozilla Public License 2.0. Created by dc_77.
TICK Indikator
English:
The TICK Indicator measures in real time the number of up ticking stocks minus the number of down ticking stocks on the New York Stock Exchange (NYSE). It can display either the current TICK value ("Normal" mode) or the cumulative TICK values over the trading day ("Cumulative" mode). Positive values indicate market strength, while negative values signal weakness. Colored bars visualize momentum: green shades for rising, red for falling values. The zero line acts as a reference between buying and selling pressure.
Interpretation:
> +1000 and/or continuos lows above 0 → strong buying pressure
< -1000 and/or continuos highs below 0 → strong selling pressure
Around 0 → balanced market
Deutsch:
Der TICK Indikator misst in Echtzeit die Anzahl der Aktien, die an der New York Stock Exchange (NYSE) steigen, minus der Anzahl der fallenden Aktien. Der Indikator kann im "Normal"-Modus den aktuellen TICK-Wert anzeigen oder im "Cumulative"-Modus die kumulierten TICK-Werte über den Tag hinweg summieren. Positive Werte deuten auf eine allgemeine Markstärke hin, während negative Werte Schwäche signalisieren. Farbige Balken visualisieren die Dynamik: grüne Töne bei steigenden, rote bei fallenden Werten. Die Nullinie dient als Referenzpunkt zwischen Kauf- und Verkaufsdruck.
Interpretation:
> +1000 und/oder mehrere aufeinander folgende Tiefs über 0 → starker Kaufdruck
< -1000 und/oder mehrere aufeinander folgende Hochs unter 0 → starker Verkaufsdruck
Nahe 0 → ausgeglichener Markt
