Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
Educational
Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
BT Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
Dynamic Intensity Transition Oscillator (DITO)The Dynamic Intensity Transition Oscillator (DITO) is a comprehensive indicator designed to identify and visualize the slope of price action normalized by volatility, enabling consistent comparisons across different assets. This indicator calculates and categorizes the intensity of price movement into six states—three positive and three negative—while providing visual cues and alerts for state transitions.
Components and Functionality
1. Slope Calculation
- The slope represents the rate of change in price action over a specified period (Slope Calculation Period).
- It is calculated as the difference between the current price and the simple moving average (SMA) of the price, divided by the length of the period.
2. Normalization Using ATR
- To standardize the slope across assets with different price scales and volatilities, the slope is divided by the Average True Range (ATR).
- The ATR ensures that the slope is comparable across assets with varying price levels and volatility.
3. Intensity Levels
- The normalized slope is categorized into six distinct intensity levels:
High Positive: Strong upward momentum.
Medium Positive: Moderate upward momentum.
Low Positive: Weak upward movement or consolidation.
Low Negative: Weak downward movement or consolidation.
Medium Negative: Moderate downward momentum.
High Negative: Strong downward momentum.
4. Visual Representation
- The oscillator is displayed as a histogram, with each intensity level represented by a unique color:
High Positive: Lime green.
Medium Positive: Aqua.
Low Positive: Blue.
Low Negative: Yellow.
Medium Negative: Purple.
High Negative: Fuchsia.
Threshold levels (Low Intensity, Medium Intensity) are plotted as horizontal dotted lines for visual reference, with separate colors for positive and negative thresholds.
5. Intensity Table
- A dynamic table is displayed on the chart to show the current intensity level.
- The table's text color matches the intensity level color for easy interpretation, and its size and position are customizable.
6. Alerts for State Transitions
- The indicator includes a robust alerting system that triggers when the intensity level transitions from one state to another (e.g., from "Medium Positive" to "High Positive").
- The alert includes both the previous and current states for clarity.
Inputs and Customization
The DITO indicator offers a variety of customizable settings:
Indicator Parameters
Slope Calculation Period: Defines the period over which the slope is calculated.
ATR Calculation Period: Defines the period for the ATR used in normalization.
Low Intensity Threshold: Threshold for categorizing weak momentum.
Medium Intensity Threshold: Threshold for categorizing moderate momentum.
Intensity Table Settings
Table Position: Allows you to position the intensity table anywhere on the chart (e.g., "Bottom Right," "Top Left").
Table Size: Enables customization of table text size (e.g., "Small," "Large").
Use Cases
Trend Identification:
- Quickly assess the strength and direction of price movement with color-coded intensity levels.
Cross-Asset Comparisons:
- Use the normalized slope to compare momentum across different assets, regardless of price scale or volatility.
Dynamic Alerts:
- Receive timely alerts when the intensity transitions, helping you act on significant momentum changes.
Consolidation Detection:
- Identify periods of low intensity, signaling potential reversals or breakout opportunities.
How to Use
- Add the indicator to your chart.
- Configure the input parameters to align with your trading strategy.
Observe:
The Oscillator: Use the color-coded histogram to monitor price action intensity.
The Intensity Table: Track the current intensity level dynamically.
Alerts: Respond to state transitions as notified by the alerts.
Final Notes
The Dynamic Intensity Transition Oscillator (DITO) combines trend strength detection, cross-asset comparability, and real-time alerts to offer traders an insightful tool for analyzing market conditions. Its user-friendly visualization and comprehensive alerting make it suitable for both novice and advanced traders.
Disclaimer: This indicator is for educational purposes and is not financial advice. Always perform your own analysis before making trading decisions.
SPX Lin Reg with SD -1 +1 -2 +2 -3 +3 (Extended by Date) V1.03Linear regression for a given period with standard deviations
ICT Digital open Daily DividersDescription for "ICT Digital Open Daily Dividers" TradingView Indicator
Overview
The "ICT Digital Open Daily Dividers" is a versatile and comprehensive TradingView Pine Script indicator designed for traders who utilize Institutional Order Flow methodologies, particularly in ICT (Inner Circle Trader) trading. This indicator provides a structured visual framework to assist traders in identifying key daily market sessions, critical opening prices, and distinguishing different trading days, especially focusing on the Sunday open, which is a crucial element in the ICT trading strategy.
Core Functionalities
Daily Vertical Lines: The script plots vertical lines at the start of each trading day, which helps to demarcate daily trading sessions. These lines are customizable, allowing traders to choose their color, style (solid, dashed, or dotted), and width. This feature helps in visually segmenting each trading day, making it easier to analyze daily price action patterns.
Sunday Open Differentiation: Unlike many other daily divider indicators, this script uniquely provides the option to highlight the Sunday open at 6 PM EST with distinct lines. This feature is especially valuable for ICT traders who consider the Sunday open as a critical reference point for weekly analysis. The color, style, and width of the Sunday open lines can be set separately, providing a clear visual distinction from regular weekday separators.
12 AM Open Toggle: For markets that are influenced by midnight opens, the indicator includes an option to shift the daily open line to 12 AM instead of the default 6 PM. This flexibility allows traders to adapt the indicator to different market dynamics or trading strategies.
Timezone Customization: The indicator allows traders to set the timezone for the open lines, ensuring that the vertical lines align accurately with the trader’s specific market hours, whether they follow New York time or any other timezone.
Session Time Filters: The script can hide or show specific trading session markers, such as the New York session open and close, which are pivotal for ICT traders. These markers help in focusing on the most active and liquid trading times.
Customizable Style Settings: The script includes comprehensive styling options for the plotted lines and session markers, allowing traders to personalize their charts to suit their visual preferences and improve clarity.
Day of the Week Labels: The indicator can plot labels for each day of the week, providing a quick reference to the day’s price action. This feature is particularly useful in reviewing weekly trading patterns and performance.
Use in ICT Trading
In ICT trading, the concept of the "open" is fundamental. The "ICT Digital Open Daily Dividers" indicator serves multiple purposes:
Market Structure Identification: By clearly marking daily opens, traders can easily identify market structure changes such as breakouts, retracements, or consolidations around these key levels.
Reference Points: The Sunday open is often a key level in ICT analysis, serving as a benchmark for assessing market direction for the upcoming week. This indicator’s ability to plot Sunday opens separately makes it uniquely suited for ICT strategies.
Time-based Analysis: ICT methodology often involves analyzing the market at specific times of the day. This indicator supports such analysis by marking significant session opens and closes.
Uniqueness and Advantages
The "ICT Digital Open Daily Dividers" stands out from other similar indicators due to its specialized features:
Sunday Open Highlighting: Few indicators offer the capability to specifically mark the Sunday open with distinct styling options.
Flexibility in Time Adjustments: With options to adjust the open time to either 6 PM or 12 AM, this indicator caters to a broader range of trading strategies and market conditions.
Enhanced Visualization: The wide range of customization options ensures that traders can tailor the indicator to their specific needs, enhancing the usability and visual clarity of their charts.
Compliance with TradingView's Pine Script Community Guidelines
The description adheres to TradingView's guidelines by being comprehensive, clear, and informative. It highlights the utility of the script, its unique features, and its application in trading strategies without making exaggerated claims about performance or profitability. The detailed customization options and unique functionalities are emphasized to differentiate this script from other standard daily divider indicators.
SPX Lin Reg with SD -1 +1 -2 +2 -3 +3 (Extended by Date) V1.03Linear regression for a given period with standard deviations
RSI + CHOP + Stochastic Strategy ( LONG/SHORT ) TP/SLMożna edytować poziomy TP i SL dla pozycji LONG i SHORT
SCALPING - interwał 5min
nifty supertrend tritonTrend based Strategy based on EMA , ATR and supertrend . Currently being used and testing on Nifty and Banknifty with adjusted parameters .
Do backtest before taking any trade
INGMorelKillzone con Tendencia H1 y Análisis de Sentimiento
Este indicador te ayuda a identificar oportunidades de trading en la sesión de Nueva York (Killzone) basándose en la tendencia principal de H1. El color de fondo cambia según la tendencia (verde para alcista, rojo para bajista), y se combina con un filtro de sentimiento del mercado utilizando el RSI y el volumen. Además, muestra las líneas de HMA en M15 para ayudarte a identificar las entradas en el momento adecuado. ¡Optimiza tus decisiones de trading con este indicador visual y dinámico!
[ADDYad] Google Search Trends - Bitcoin (2012 Jan - 2025 Jan)This Pine Script shows the Google Search Trends as an indicator for Bitcoin from January 2012 to January 2025, based on monthly data retrieved from Google Trends. It calculates and displays the relative search interest for Bitcoin over time, offering a historical perspective on its popularity mainly built for BITSTAMP:BTCUSD .
Important note: This is not a live indicator. It visualizes historical search trends based on Google Trends data.
Key Features:
Data Source : Google Trends (Last retrieved in January 10 2025).
Timeframe : The script is designed to be used on a monthly chart, with the data reflecting monthly search trends from January 2012 to January 2025. For other timeframes, the data is linearly interpolated to estimate the trends at finer resolutions.
Purpose : This indicator helps visualize Bitcoin's search interest over the years, offering insights into public interest and sentiment during specific periods (e.g., major price movements or news events).
Data Handling : The data is interpolated for use on non-monthly timeframes, allowing you to view search trends on any chart timeframe. This makes it versatile for use in longer-term analysis or shorter timeframes, despite the raw data being available only on a monthly basis. However, it is most relevant for Monthly, Weekly, and Daily timeframes.
How It Works:
The script calculates the number of months elapsed since January 1, 2012, and uses this to interpolate Google Trends data values for any given point in time on the chart.
The linear interpolation function adjusts the monthly data to provide an approximate trend for intermediate months.
Why It's Useful:
Track Bitcoin's historic search trends to understand how interest in Bitcoin evolved over time, potentially correlating with price movements.
Correlate search trends with price action and other market indicators to analyze the effects of public sentiment and sentiment-driven market momentum.
Final Notes:
This script is unique because it shows real-world, non-financial dataset (Google Trends) to understand price action of Bitcoin correlating with public interest. Hopefully is a valuable addition to the TradingView community.
ADDYad
13, 21, 34 SMAs tradewithshamincluded 13,21 and 34 simple moving average for swing trade. use it in day candle
Percentage Calculator by Akshay GaurThis indicator calculates and displays percentage levels above and below the current price. It allows you to easily identify any percentage levels which can be used in many things like creating strangles and straddles and make informed trading decisions. The indicator automatically adjusts and redraws the lines and labels on the latest bar to reflect real-time market conditions.
Key Features:
• Calculates percentage levels above and below the current price
• Displays percentage levels on big labels with the horizontal lines on the chart
• Allows you to adjust the percentage value and every details.
• Allows you to see Fluctuation line on the chart.
How to Use:
1. Set the percentage value to the desired level (e.g. 1%, 2%, etc.)
2. If you want to see Fluctuation lines also then turn on it from Input settings.
3. Use the displayed levels to identify desired percentage levels.
4. Make informed trading decisions based on the calculated levels
Implied and Historical VolatilityAbstract
This TradingView indicator visualizes implied volatility (IV) derived from the VIX index and historical volatility (HV) computed from past price data of the S&P 500 (or any selected asset). It enables users to compare market participants' forward-looking volatility expectations (via VIX) with realized past volatility (via historical returns). Such comparisons are pivotal in identifying risk sentiment, volatility regimes, and potential mispricing in derivatives.
Functionality
Implied Volatility (IV):
The implied volatility is extracted from the VIX index, often referred to as the "fear gauge." The VIX represents the market's expectation of 30-day forward volatility, derived from options pricing on the S&P 500. Higher values of VIX indicate increased uncertainty and risk aversion (Whaley, 2000).
Historical Volatility (HV):
The historical volatility is calculated using the standard deviation of logarithmic returns over a user-defined period (default: 20 trading days). The result is annualized using a scaling factor (default: 252 trading days). Historical volatility represents the asset's past price fluctuation intensity, often used as a benchmark for realized risk (Hull, 2018).
Dynamic Background Visualization:
A dynamic background is used to highlight the relationship between IV and HV:
Yellow background: Implied volatility exceeds historical volatility, signaling elevated market expectations relative to past realized risk.
Blue background: Historical volatility exceeds implied volatility, suggesting the market might be underestimating future uncertainty.
Use Cases
Options Pricing and Trading:
The disparity between IV and HV provides insights into whether options are over- or underpriced. For example, when IV is significantly higher than HV, options traders might consider selling volatility-based derivatives to capitalize on elevated premiums (Natenberg, 1994).
Market Sentiment Analysis:
Implied volatility is often used as a proxy for market sentiment. Comparing IV to HV can help identify whether the market is overly optimistic or pessimistic about future risks.
Risk Management:
Institutional and retail investors alike use volatility measures to adjust portfolio risk exposure. Periods of high implied or historical volatility might necessitate rebalancing strategies to mitigate potential drawdowns (Campbell et al., 2001).
Volatility Trading Strategies:
Traders employing volatility arbitrage can benefit from understanding the IV/HV relationship. Strategies such as "long gamma" positions (buying options when IV < HV) or "short gamma" (selling options when IV > HV) are directly informed by these metrics.
Scientific Basis
The indicator leverages established financial principles:
Implied Volatility: Derived from the Black-Scholes-Merton model, implied volatility reflects the market's aggregate expectation of future price fluctuations (Black & Scholes, 1973).
Historical Volatility: Computed as the realized standard deviation of asset returns, historical volatility measures the intensity of past price movements, forming the basis for risk quantification (Jorion, 2007).
Behavioral Implications: IV often deviates from HV due to behavioral biases such as risk aversion and herding, creating opportunities for arbitrage (Baker & Wurgler, 2007).
Practical Considerations
Input Flexibility: Users can modify the length of the HV calculation and the annualization factor to suit specific markets or instruments.
Market Selection: The default ticker for implied volatility is the VIX (CBOE:VIX), but other volatility indices can be substituted for assets outside the S&P 500.
Data Frequency: This indicator is most effective on daily charts, as VIX data typically updates at a daily frequency.
Limitations
Implied volatility reflects the market's consensus but does not guarantee future accuracy, as it is subject to rapid adjustments based on news or events.
Historical volatility assumes a stationary distribution of returns, which might not hold during structural breaks or crises (Engle, 1982).
References
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy, 81(3), 637-654.
Whaley, R. E. (2000). "The Investor Fear Gauge." The Journal of Portfolio Management, 26(3), 12-17.
Hull, J. C. (2018). Options, Futures, and Other Derivatives. Pearson Education.
Natenberg, S. (1994). Option Volatility and Pricing: Advanced Trading Strategies and Techniques. McGraw-Hill.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2001). The Econometrics of Financial Markets. Princeton University Press.
Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw-Hill.
Baker, M., & Wurgler, J. (2007). "Investor Sentiment in the Stock Market." Journal of Economic Perspectives, 21(2), 129-151.
CANDLE RANGE THEORY (H1 Only)Hello traders.
This indicator identifies CRT candles
-Each candle is a range.
-Each candle has its own po3.
-Focus on specific times of the day. By recognizing the importance of time and price, we can capture high-quality trades. Together with HTF PD array, Look for 4-hour candles forming at specific times of the day. (1am - 5am - 9am EST)
-After the 1st candle, wait for the 2nd candle to clear the high/low of the 1st candle and then close inside the 1st candle range at a specific time (1-5-9) and look for entries in the LTF
Why choose 1 5 9 hours EST?
### **1. 1:00 AM (EST)**
- **Trading Session:** This is the time between the Tokyo (Asian) session and the Sydney (Australian) session. The Asian market is very active.
- **Characteristics:**
- Liquidity: Moderate, as only the Asian market is active.
- Volatility: Pairs involving JPY (Japanese Yen), AUD (Australian Dollar), and NZD (New Zealand Dollar) tend to have higher volatility.
- Trading Opportunities: Suitable for traders who like to trade trends or news in the Asian region.
- **Note:** Volatility may be lower than the London or New York session.
### **2. 5:00 AM (EST)**
- **Trading Session:** This is the time near the end of the Tokyo session and the London (European) session is about to open.
- **Characteristics:**
- Liquidity: Starts to increase due to the preparation of the European market.
- Volatility: This is the time between two trading sessions, there can be strong fluctuations, especially in major currency pairs such as EUR/USD, GBP/USD.
- Trading opportunities: Suitable for breakout trading strategies when liquidity increases.
- **Note:** The overlap between Tokyo and London can cause sudden fluctuations.
### **3. 9:00 AM (EST)**
- **Trading sessions:** This time is within the London session and near the beginning of the New York session.
- **Characteristics:**
- Liquidity: Very high, as this is the period between the two largest sessions – London and New York.
- Volatility: Extremely strong, especially for major currency pairs such as EUR/USD, GBP/USD, USD/JPY.
- Trading opportunities: Suitable for both news trading and trend trading, as this is the time when a lot of economic data is released (usually from the US or the European region).
- **Note:** High volatility can bring big profits, but also comes with high risks.
### **Summary of effects:**
- **1 AM (EST):** Moderate volatility, focusing on Asian currency pairs.
- **5 AM (EST):** Increased liquidity and volatility, suitable for breakout trading.
- **9 AM (EST):** High volatility and high liquidity, the best time for Forex trading.
==> How to trade, when the high/low of CRT is swept, move to LTF to wait for confirmation to enter the order
Only sell at high level and buy at discount price.
Find CE at specific important time. Trading CRT with HTF direction has better win rate.
The more inside bars, the higher the probability.
Place a partial and Move breakeven at 50% range.
Do a backtest and post your chart.
BTC vs Mag7 Combined IndexThis Mag7 Combined Index script is a custom TradingView indicator that calculates and visualizes the collective performance of the Magnificent 7 (Mag7) stocks—Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta (red line) compared to Bitcoin (blue line). It normalizes the daily closing prices of each stock to their initial value on the chart, scales them into percentages, and then computes their simple average to form a combined index. The result is plotted as a single red line, offering a clear view of the aggregated performance of these influential stocks over time compared to Bitcoin.
This indicator is ideal for analyzing the overall market impact of Bitcoin compared to the Mag7 stocks.
Bitcoin vs Mag7 Combined IndexThis Mag7 Combined Index script is a custom TradingView indicator that calculates and visualizes the collective performance of the Magnificent 7 (Mag7) stocks—Apple, Microsoft, Alphabet, Amazon, NVIDIA, Tesla, and Meta (red line) compared to Bitcoin (blue line). It normalizes the daily closing prices of each stock to their initial value on the chart, scales them into percentages, and then computes their simple average to form a combined index. The result is plotted as a single line, offering a clear view of the aggregated performance of these influential stocks over time compared to Bitcoin.
This indicator is ideal for analyzing the overall market impact of the Mag7 compared to Bitcoin.
Kamal 5 Tick Trading SetupKamal 5 Tick Trading Setup
The "Kamal 5 Tick Trading Setup" is a custom indicator designed by Kamal Preet Singh Trader for TradingView to identify potential Buy and Sell signals on daily forex charts. This indicator helps traders make informed decisions based on the price action of the previous five daily candles.
Indicator Logic:
Buy Signal: A Buy signal is generated when the closing price of the current candle exceeds the highest high of the previous five daily candles.
Sell Signal: A Sell signal is generated when the closing price of the current candle falls below the lowest low of the previous five daily candles.
Features:
Lookback Period: The indicator uses a lookback period of five candles to determine the highest high and lowest low.
Visual Signals: Buy signals are plotted as green "BUY" labels below the candles, while Sell signals are plotted as red "SELL" labels above the candles.
Debugging Plots: The highest high and lowest low of the previous five candles are plotted as blue and orange lines, respectively, to help verify the conditions for Buy and Sell signals.
Non-Repetitive Signals: The indicator ensures that once a Buy signal is given, no further Buy signals are generated until a Sell signal is given, and vice versa.
Usage:
Apply the indicator to your daily forex chart in TradingView.
Observe the plotted Buy and Sell signals to identify potential entry and exit points.
Use the debugging plots to ensure the conditions for the signals are being met correctly.
This indicator provides a straightforward approach to trading based on recent price action, helping traders capitalize on potential breakout and breakdown opportunities.
Beardy Squeeze Pro (With high compression squeeze alert)Added high compression squeeze alert to the Beardy Squeeze Pro
Dr. Elder Overbought Zone v2Only a test, work in progress. Trying to figure out when to a stock has had a too large move, and it's bound to return back to the mean.
Simple Average Price & Target ProfitThis script is designed to help users calculate and visualize the weighted average price of an asset based on multiple entry points, along with the target price and the potential profit. The user can input specific prices for three different entries, along with the percentage of total investment allocated to each price point. The script then calculates the weighted average price based on these entries and displays it on the chart. Additionally, it calculates the potential profit at a given target price, which is plotted on the chart.
mr.crypto731Description:
📊 Enhanced MACD with Strong Buy/Sell Signals 🚀
This script is designed to enhance the standard MACD indicator by adding clear, strong buy and sell signals. It includes:
MACD Line: A fast-moving average that reacts quickly to price changes.
Signal Line: A slower-moving average that smooths out price fluctuations.
MACD Histogram: The difference between the MACD Line and Signal Line, helping to identify trend strength and direction.
Key Features:
Strong Buy/Sell Signals: Uses crossovers of the MACD Line and Signal Line to generate strong buy/sell signals.
Color-Coded Background: Provides visual cues with background colors to highlight strong signals.
User-Friendly Interface: Customizable settings for MACD Fast Length, Slow Length, and Signal Smoothing.
