[SGM VaR Stats VS Empirical]Main Functions
Logarithmic Returns & Historical Data
Calculates logarithmic returns from closing prices.
Stores these returns in a dynamic array with a configurable maximum size.
Approximation of the Inverse Error Function
Uses an approximation of the erfinv function to calculate z-scores for given confidence levels.
Basic Statistics
Mean: Calculates the average of the data in the array.
Standard Deviation: Measures the dispersion of returns.
Median: Provides a more robust measure of central tendency for skewed distributions.
Z-Score: Converts a confidence level into a standard deviation multiplier.
Empirical vs. Statistical Projection
Empirical Projection
Based on the median of cumulative returns for each projected period.
Applies an adjustable confidence filter to exclude extreme values.
Statistical Projection
Relies on the mean and standard deviation of historical returns.
Incorporates a standard deviation multiplier for confidence-adjusted projections.
PolyLines (Graphs)
Generates projections visually through polylines:
Statistical Polyline (Blue): Based on traditional statistical methods.
Empirical Polyline (Orange): Derived from empirical data analysis.
Projection Customization
Maximum Data Size: Configurable limit for the historical data array (max_array_size).
Confidence Level: Adjustable by the user (conf_lvl), affects the width of the confidence bands.
Projection Length: Configurable number of projected periods (length_projection).
Key Steps
Capture logarithmic returns and update the historical data array.
Calculate basic statistics (mean, median, standard deviation).
Perform projections:
Empirical: Based on the median of cumulative returns.
Statistical: Based on the mean and standard deviation.
Visualization:
Compare statistical and empirical projections using polylines.
Utility
This script allows users to compare:
Traditional Statistical Projections: Based on mathematical properties of historical returns.
Empirical Projections: Relying on direct historical observations.
Divergence or convergence of these lines also highlights the presence of skewness or kurtosis in the return distribution.
Ideal for traders and financial analysts looking to assess an asset’s potential future performance using combined statistical and empirical approaches.
Göstergeler ve stratejiler
Open-Close Upward Difference MarkerThis indicator, called "Open-Close Upward Difference Marker", is designed to help traders quickly spot candles where the price has moved up significantly within a certain percentage. It places a small green dot above any candle where the closing price is higher than the opening price (meaning the price went up) and the percentage difference between the open and close is greater than a set threshold.
Here’s how it works:
You can set a percentage threshold (e.g., 1%) using the input field. This threshold helps filter out small price changes, so the indicator only shows larger movements.
If the price increase from the open to the close is greater than the threshold, a small green dot will appear above the candle, letting you quickly identify upward price movements that meet your criteria.
It ignores downward price movements, so you’ll only see green dots for candles where the price has gone up.
This indicator is helpful for spotting upward trends and significant price increases, making it a simple visual aid for beginner traders.
Hosoda ProjectionsThis script, written in Pine Script v5, introduces a technical analysis tool called "Hosoda Projections." Inspired by Ichimoku Kinkō Hyō and wave-based forecasting methods, this indicator helps traders visualize potential future price levels using a combination of pivot detection and projected price movements. It offers a unique way to anticipate market dynamics and define potential targets, making it particularly useful for those who seek to combine historical price patterns with forward-looking strategies.
The script works by detecting key pivot points in the market using a customizable lookback period and then calculating a ZigZag pattern based on price fluctuations that exceed a specified percentage threshold. These pivots are used to identify three recent swing points, which serve as the foundation for projecting possible future price levels. Using these swings, the script generates levels that correspond to Fibonacci-based extensions and projections, such as 38.2%, 61.8%, 100%, 161.8%, and additional extensions like 261.8% and 361.8%. These levels are visualized on the chart as horizontal lines and labeled with their respective values for easy interpretation.
The primary advantage of the Hosoda Projections script is its ability to provide a structured approach to identifying potential price targets. By leveraging the natural rhythm of price movements, it offers insights into where the market might find support or resistance in the future. This can help traders refine their entry and exit points, manage risk more effectively, and gain a deeper understanding of market sentiment. Additionally, the dynamic nature of the projections adapts to new price data, ensuring the tool remains relevant across changing market conditions.
This script is particularly valuable for traders who appreciate the harmony between historical price action and predictive analysis. Whether you are trading forex, stocks, or cryptocurrencies, the Hosoda Projections tool can enhance your trading strategy by providing actionable and visually intuitive forecasts.
Previous Day Percentage LevelsAdds small trend lines at 25%, 50% and 75% levels from the low to the high of the previous day.
Dynamic TestingInput Parameters
`lookbackPeriod` : Number of candles to check for determining the highest high (resistance) and lowest low (support) levels.
`atrPeriod` : The period for calculating the Average True Range (ATR), a measure of market volatility.
`atrMultiplierSL` : Multiplier to calculate the stop-loss distance relative to the ATR.
`atrMultiplierTP1` and `atrMultiplierTP2` : Multipliers to calculate two take-profit levels relative to ATR.
`rewardToRisk` : The ratio between reward (profit) and risk (stop loss) for trade management.
---
Core Calculations
ATR (Average True Range)
atr = ta.atr(atrPeriod)
ATR is computed using the specified period to gauge price volatility.
Volume SMA
volumeSMA = ta.sma(volume, atrPeriod)
The script calculates the simple moving average of volume over the same period as ATR. This is used as a threshold for validating high-volume scenarios.
---
Support and Resistance Levels
`support` : Lowest price over the last `lookbackPeriod` candles.
`resistance` : Highest price over the same period.
`supportBuffer` and `resistanceBuffer` : These are "buffered" zones around support and resistance, calculated using half of the ATR to prevent false breakouts.
---
Entry Scenarios
Bullish Entry (`isBullishEntry`)
The close is above the buffered support level.
The low of the current candle touches or breaks below the support level.
The trading volume is greater than the `volumeSMA`.
Bearish Entry (`isBearishEntry`)
The close is below the buffered resistance level.
The high of the current candle touches or exceeds the resistance level.
The trading volume is greater than the `volumeSMA`.
---
Box Visualization
Bullish and Bearish Boxes
Bullish Box (`bullishBox`):
- A green, semi-transparent rectangle around the support level to highlight the bullish entry zone.
- Dynamically updates based on recent price action.
Bearish Box (`bearishBox`):
- A red, semi-transparent rectangle around the resistance level to highlight the bearish entry zone.
- Adjusts similarly as price evolves.
---
Stop Loss and Take Profit Calculations
Bullish Trades
Stop Loss (`bullishSL`): Calculated as support - atrMultiplierSL * ATR .
Take Profit 1 (`bullishTP1`): support + rewardToRisk * atrMultiplierTP1 * ATR .
Take Profit 2 (`bullishTP2`): support + rewardToRisk * atrMultiplierTP2 * ATR .
Bearish Trades
Stop Loss (`bearishSL`): resistance + atrMultiplierSL * ATR .
Take Profit 1 (`bearishTP1`): resistance - rewardToRisk * atrMultiplierTP1 * ATR .
Take Profit 2 (`bearishTP2`): resistance - rewardToRisk * atrMultiplierTP2 * ATR .
---
Visualization for Key Levels
Bullish Scenario
Green lines represent `bullishTP1` and `bullishTP2` for profit targets.
A red line indicates the `bullishSL` .
Labels like "TP1," "TP2," and "SL" dynamically appear at respective levels to make the targets and risk visually clear.
Bearish Scenario
Red lines represent `bearishTP1` and `bearishTP2` .
A green line marks the `bearishSL` .
Similar dynamic labeling for `TP1` , `TP2` , and `SL` at corresponding bearish levels.
---
Dynamic Updates
Both the entry boxes and key level visualizations (lines and labels) adjust dynamically based on real-time price and volume data.
---
Purpose
Identify high-probability bullish and bearish trade setups.
Define clear entry zones (using boxes) and exit levels (TP1, TP2, SL).
Incorporate volatility (via ATR) and volume into decision-making.
---
Technical Summary
Dynamically visualize support/resistance levels.
Set risk-managed trades using ATR-based stop-loss and profit levels.
Automate visual trade zones for enhanced chart clarity.
---
GoldenTradz EMA+SMA Insight Multi Timeframe - [TilakBala]GoldenTradz EMA+SMA Insight Multi-Timeframe
📊 Indicator By: TilakBala from GoldenTradz — Revolutionize your trading approach with precision and insight!
Unlock the full potential of moving averages with the GoldenTradz EMA+SMA Insight indicator. This feature-packed tool combines the strength of Exponential Moving Averages (EMA) and Simple Moving Averages (SMA), offering unmatched flexibility and clarity for traders. Whether you're a beginner or a pro, this indicator empowers you to make well-informed trading decisions across multiple timeframes.
Key Features & Advantages:
Multi-Timeframe Analysis: Seamlessly analyze market trends using EMAs and SMAs from different timeframes on a single chart.
Gain a broader perspective by comparing short-term and long-term trends.
Customizable Settings:
Adjust EMA and SMA lengths, sources, and timeframes to fit your trading strategy perfectly.
Enable or disable specific moving averages for a clutter-free chart view.
Enhanced Trend Detection:
Identify bullish and bearish trends quickly using visually distinct EMAs and SMAs.
Use shorter EMAs for faster signals and longer SMAs for reliable trend confirmation.
Overlay Design:
Plots moving averages directly on the price chart for effortless analysis.
Distinct colors and line thicknesses ensure clear identification of each moving average.
Versatile Applications:
Suitable for scalping, day trading, swing trading, and long-term investments.
Works flawlessly with stocks, forex, cryptocurrencies, commodities, indices, and more.
Decision-Making Support:
Crossovers between EMAs and SMAs help identify potential buy or sell opportunities.
Monitor key support and resistance levels dynamically.
Efficiency in Market Noise:
EMAs provide rapid responsiveness in volatile markets.
SMAs help smooth out market noise for clearer long-term trends.
Adaptable to Any Strategy:
Perfect for breakout, trend-following, and mean-reversion strategies.
Combine with other indicators for a comprehensive trading system.
User-Friendly:
Intuitive interface with clear input fields for quick setup.
Suitable for traders of all experience levels.
📊 Indicator By: TilakBala from GoldenTradz — Revolutionize your trading approach with precision and insight!
Transform your trading with GoldenTradz EMA+SMA Insight — the ultimate tool for trend and momentum analysis.
Candle Flip System - CFSCandle Flip System - CFS
The Candle Flip System checklist table is a tool designed for traders seeking a structured approach to decision-making. This indicator provides a visual checklist to validate critical conditions before entering a trade. It includes:
1. Previous D1 Candle Analysis:
Displays whether the previous daily candle closed bullish or bearish, indicated by intuitive markers.
2. 4-Hour Alignment Check:
Confirms if the bias of the previous 4-hour candle aligns with the previous daily candle's bias.
Outputs "YES" in green for alignment or "NO" in red for misalignment.
This indicator simplifies multi-timeframe analysis and ensures a systematic evaluation of key trading conditions, enabling traders to make more confident and disciplined decisions.
How to Use:
1. Apply the indicator to your chart.
2. Observe the table displayed in the top-right corner.
3. Use the information to validate your trading strategy before entering a trade.
Supply and Demand [tambangEA]Supply and Demand Indicator Overview
The Supply and Demand indicator on TradingView is a technical tool designed to help traders identify areas of significant buying and selling pressure in the market. By identifying zones where price is likely to react, it helps traders pinpoint key support and resistance levels based on the concepts of supply and demand. This indicator plots zones using four distinct types of market structures:
1. Rally-Base-Rally (RBR) : This structure represents a bullish continuation zone. It occurs when the price rallies (increases), forms a base (consolidates), and then rallies again. The base represents a period where buying interest builds up before the continuation of the upward movement. This zone can act as support, where buyers may step back in if the price revisits the area.
2. Drop-Base-Rally (DBR) : This structure marks a bullish reversal zone. It forms when the price drops, creates a base, and then rallies. The base indicates a potential exhaustion of selling pressure and a build-up of buying interest. When price revisits this zone, it may act as support, signaling a buying opportunity.
3. Rally-Base-Drop (RBD) : This structure signifies a bearish reversal zone. Here, the price rallies, consolidates into a base, and then drops. The base indicates a temporary balance before sellers overpower buyers. If price returns to this zone, it may act as resistance, with selling interest potentially re-emerging.
4. Drop-Base-Drop (DBD) : This structure is a bearish continuation zone. It occurs when the price drops, forms a base, and then continues dropping. This base reflects a pause before further downward movement. The zone may act as resistance, with sellers possibly stepping back in if the price revisits the area.
Features of Supply and Demand Indicator
Automatic Zone Detection : The indicator automatically identifies and plots RBR, DBR, RBD, and DBD zones on the chart, making it easier to see potential supply and demand areas.
Customizable Settings : Users can typically adjust the color and transparency of the zones, time frames for analysis, and zone persistence to suit different trading styles.
Visual Alerts : Many versions include alert functionalities, notifying users when price approaches a plotted supply or demand zone.
How to Use Supply and Demand in Trading
Identify High-Probability Reversal Zones : Look for DBR and RBD zones to identify potential areas where price may reverse direction.
Trade Continuations with RBR and DBD Zones : These zones can indicate strong trends, suggesting that price may continue in the same direction.
Combine with Other Indicators: Use it alongside trend indicators, volume analysis, or price action strategies to confirm potential trade entries and exits.
This indicator is particularly useful for swing and day traders who rely on price reaction zones for entering and exiting trades.
Chaikin's Money FlowOverview : Chaikin's Money Flow (CMF) is a momentum indicator that measures the buying and selling pressure of a financial instrument over a specified period. By incorporating both price and volume, CMF provides a comprehensive view of market sentiment, helping traders identify potential trend reversals and confirm the strength of existing trends.
Key Features:
Volume-Weighted : Unlike price-only indicators, CMF accounts for trading volume, offering deeper insights into the forces driving price movements.
Oscillatory Nature : CMF oscillates between positive and negative values, typically ranging from -100 to +100, indicating the balance between buying and selling pressure.
Trend Confirmation : Positive CMF values suggest accumulating buying pressure, while negative values indicate distributing selling pressure. This aids in confirming the direction and strength of trends.
Calculation Details :
Intraday Intensity (II) = 100 × (2×Close−High−Low) / (High−Low) × Volume
Condition: If High=Low, II is set to 0 to prevent division by zero.
II_smoothed = SMA(II, lookback)
Applies a Simple Moving Average (SMA) to the Intraday Intensity over the defined lookback period to smooth out short-term fluctuations.
Volume Smoothing:
V_smoothed = EMA(Volume, Volume Smoothing Period)
Utilizes an Exponential Moving Average (EMA) to smooth the volume over the specified smoothing period, giving more weight to recent data.
Money Flow Calculation:
Money Flow = II_smoothed / V_smoothed
Condition: If Vsmoothed=0Vsmoothed=0, Money Flow is set to 0 to avoid division by zero.
Usage Instructions:
Parameters Configuration:
Lookback Period: Determines the number of periods over which Intraday Intensity is averaged. A higher value results in a smoother indicator, reducing sensitivity to short-term price movements.
Volume Smoothing Period: Defines the period for the EMA applied to Volume. Adjusting this parameter affects the responsiveness of the Money Flow indicator to changes in trading volume.
Interpreting the Indicator:
Positive Values (>0): Indicate buying pressure. The higher the value, the stronger the buying interest.
Negative Values (<0): Signal selling pressure. The lower the value, the more intense the selling activity.
Crossovers: Watch for Money Flow crossing above the zero line as potential buy signals and crossing below as potential sell signals.
Divergence: Identify divergences between Money Flow and price movements to anticipate possible trend reversals.
Complementary Analysis:
Confluence with Other Indicators: Use CMF in conjunction with trend indicators like Moving Averages or oscillators like RSI to enhance signal reliability.
Volume Confirmation: CMF's volume-weighted approach makes it a powerful tool for confirming the validity of price trends and breakouts.
Acknowledgment: This implementation of Chaikin's Money Flow Indicator is inspired by and derived from the methodologies presented in "Statistically Sound Indicators" by Timothy Masters. The indicator has been meticulously translated to Pine Script to maintain the statistical integrity and effectiveness outlined in the source material.
Disclaimer: The Chaikin's Money Flow Indicator is a tool designed to assist in trading decisions. It does not guarantee profits and should be used in conjunction with other analysis methods. Trading involves risk, and it's essential to perform thorough testing and validation before deploying any indicator in live trading environments.
Volume HighlightVolume Highlight
Description:
This script helps users analyze trading volume by:
1. Highlighting the highest volume bars:
• Trading sessions with volume equal to or exceeding the highest value over the last 20 periods are displayed in purple.
• Other sessions are displayed in light gray.
2. Displaying the 20-period SMA (Simple Moving Average):
• A 20-period SMA line of the volume is included to track the general trend of trading volume.
Key Features:
• Color-coded Highlights:
• Quickly identify trading sessions with significant volume spikes.
• 20-Period SMA Line:
• Observe the overall trend of trading volume.
• Intuitive Volume Bars:
• Volume bars are clearly displayed for easy interpretation.
How to Use:
1. Add the script to your chart on TradingView.
2. Look at the color of the volume bars:
• Purple: Sessions with the highest trading volume in the past 20 periods.
• Light gray: Other sessions.
3. Use the 20-period SMA line to analyze volume trends.
Purpose:
• Analyze market momentum through trading volume.
• Support trading decisions by identifying significant volume spikes.
Illustration:
• A chart showing color-coded volume bars and the 20-period SMA line.
Sessions ny vizScript Purpose
This indicator draws a colored background during the New York trading session. It's useful for traders who want to have a visual overview of when the American (NY) trading session is active.
Main Features
NY Session Visualization - draws a gray bar in the background of the chart during NY trading hours (15:00-19:00 CET)
Customization - allows users to:
Set custom session time range
Adjust background color and transparency
Limit display to only the last 24 hours
Input Parameters
sessionRange - session time range (default 15:00-19:00 CET)
sessionColour - background color (default gray with 90% transparency)
onlyLast24Hours - toggle for showing only the last 24 hours (default false)
Technical Details
Script is written in Pine Script version 5
Uses UNIX timestamp for time period calculations
Runs as an overlay indicator (overlay=true), meaning it displays directly on the price chart
Uses the bgcolor() function for background rendering
Contains logic to check if current time is within defined session
Usage
This indicator is useful for:
Monitoring active NY trading session hours
Planning trades during the most liquid hours of the US market
Visual orientation in the chart during different trading sessions
Sharpe Ratio Indicator (180)Meant to be used on the 1D chart and on BTC.
The Sharpe Ratio Indicator (180 days) is a tool for evaluating risk-adjusted returns, designed for investors who want to assess whether BTC is overvalued, undervalued, or in a neutral state. It plots the Sharpe Ratio over the past 180 days, color-coded to indicate valuation states:
- Red: Overvalued (Sharpe Ratio > 5).
- Green: Undervalued (Sharpe Ratio < -1).
-Blue: Critically Undervalued (Sharpe Ratio <-3).
- Yellow: Neutral (between -1 and 5).
Note that you can change those values yourself in the settings of the indicator.
Strengths:
- Real-time feedback on risk-adjusted returns helps in making timely investment decisions.
- Color-coded signals (red, green, blue and yellow) provide an intuitive, visual indication of the asset's valuation.
- Flexible: Easily adjustable to different subjective valuation levels and risk-free rates.
All hail to Professor Adam and The Real World Community!
Simple Parallel Channel TrackerThis script will automatically draw price channels with two parallel trends lines, the upper trendline and lower trendline. These lines can be changed in terms of appearance at any time.
The Script takes in fractals from local and historic price action points and connects them over a certain period or amount of candles as inputted by the user. It tracks the most recent highs and lows formed and uses this data to determine where the channel begins.
The Script will decide whether to use the most recent high, or low, depending on what comes first.
Why is this useful?
Often, Traders either have no trend lines on their charts, or they draw them incorrectly. Whichever category a trader falls into, there can only be benefits from having Trend lines and Parallel Channels drawn automatically.
Trends naturally occur in all Markets, all the time. These oscillations when tracked allow for a more reliable following of Markets and management of Market cycles.
Gains and Drawdowns with Standard DeviationsThis “Gains and Drawdowns with Standard Deviations” indicator helps in analyzing and visualizing the percentage gains and drawdown phases of a market or asset relative to its historical range. By calculating gains from the lowest low and drawdowns from the highest high over a specified lookback period, this indicator provides deeper insights into price movements and risk.
Key Features and Applications:
1. Gain and Drawdown Calculation:
• Gains: The indicator calculates the percentage gain from the lowest price point within a specific lookback period (e.g., 250 days).
• Drawdowns: Drawdowns are calculated as the percentage change from the highest point in the same period. This helps in identifying the maximum loss phases.
2. Standard Deviation:
• The indicator computes the standard deviation of both gains and drawdowns over a specified period (e.g., 250 days), allowing you to quantify volatility.
• Three bands (1st, 2nd, and 3rd standard deviations) are plotted for both gains and drawdowns, representing the frequency and magnitude of price movements within the normal volatility range.
3. Extreme Movements Highlighting:
• The indicator highlights extreme gains and drawdowns when they exceed user-defined thresholds. This helps in identifying significant market events or turning points.
4. Customizable Thresholds:
• Users can adjust the thresholds for extreme gains and drawdowns, as well as the lookback period for calculating gains, drawdowns, and standard deviations, making the indicator highly adaptable to specific needs.
Application in Portfolio Management:
The use of standard deviation in portfolio management is essential for assessing the risk and volatility of a portfolio. According to Modern Portfolio Theory (MPT) by Harry Markowitz, diversification of assets in a portfolio helps to minimize overall risk (especially the standard deviation), while maximizing returns. The standard deviation of a portfolio measures the volatility of its returns, with higher standard deviation indicating higher risk.
Scientific Source: Markowitz, H. M. (1952). Portfolio Selection. The Journal of Finance, 7(1), 77-91.
Markowitz’s theory suggests that an optimized portfolio, by minimizing the standard deviation of returns and combining a diversified asset allocation, can achieve better risk-adjusted returns.
Conclusion:
This indicator is particularly useful for traders and portfolio managers who want to understand and visualize market risk and extreme events. By using gains, drawdowns, and volatility metrics, it allows for systematic monitoring and evaluation of price movements, leading to more informed decisions in trading or portfolio management. A comprehensive understanding of price behavior and volatility helps in optimizing risk management and making strategic market entries.
Key Features:
• Visualization of Gains and Drawdowns with color-coded highlights for extreme movements.
• Standard Deviation Calculations for detailed volatility analysis.
• Customizable Thresholds for identifying extreme market events.
This indicator is a valuable tool for analyzing market data from a scientific standpoint, improving risk management, and making data-driven decisions based on historical performance.
Adaptive Squeeze Momentum StrategyThe Adaptive Squeeze Momentum Strategy is a versatile trading algorithm designed to capitalize on periods of low volatility that often precede significant price movements. By integrating multiple technical indicators and customizable settings, this strategy aims to identify optimal entry and exit points for both long and short positions.
Key Features:
Long/Short Trade Control:
Toggle Options: Easily enable or disable long and short trades according to your trading preferences or market conditions.
Flexible Application: Adapt the strategy for bullish, bearish, or neutral market outlooks.
Squeeze Detection Mechanism:
Bollinger Bands and Keltner Channels: Utilizes the convergence of Bollinger Bands inside Keltner Channels to detect "squeeze" conditions, indicating a potential breakout.
Dynamic Squeeze Length: Calculates the average squeeze duration to adapt to changing market volatility.
Momentum Analysis:
Linear Regression: Applies linear regression to price changes over a specified momentum length to gauge the strength and direction of momentum.
Dynamic Thresholds: Sets momentum thresholds based on standard deviations, allowing for adaptive sensitivity to market movements.
Momentum Multiplier: Adjustable setting to fine-tune the aggressiveness of momentum detection.
Trend Filtering:
Exponential Moving Average (EMA): Implements a trend filter using an EMA to align trades with the prevailing market direction.
Customizable Length: Adjust the EMA length to suit different trading timeframes and assets.
Relative Strength Index (RSI) Filtering:
Overbought/Oversold Signals: Incorporates RSI to avoid entering trades during overextended market conditions.
Adjustable Levels: Set your own RSI oversold and overbought thresholds for personalized signal generation.
Advanced Risk Management:
ATR-Based Stop Loss and Take Profit:
Adaptive Levels: Uses the Average True Range (ATR) to set stop loss and take profit points that adjust to market volatility.
Custom Multipliers: Modify ATR multipliers for both stop loss and take profit to control risk and reward ratios.
Minimum Volatility Filter: Ensures trades are only taken when market volatility exceeds a user-defined minimum, avoiding periods of low activity.
Time-Based Exit:
Holding Period Multiplier: Defines a maximum holding period based on the momentum length to reduce exposure to adverse movements.
Automatic Position Closure: Closes positions after the specified holding period is reached.
Session Filtering:
Trading Session Control: Limits trading to predefined market hours, helping to avoid illiquid periods.
Custom Session Times: Set your preferred trading session to match market openings, closings, or specific timeframes.
Visualization Tools:
Indicator Plots: Displays Bollinger Bands, Keltner Channels, and trend EMA on the chart for visual analysis.
Squeeze Signals: Marks squeeze conditions on the chart, providing clear visual cues for potential trade setups.
Customization Options:
Indicator Parameters: Fine-tune lengths and multipliers for Bollinger Bands, Keltner Channels, momentum calculation, and ATR.
Entry Filters: Choose to use trend and RSI filters to refine trade entries based on your strategy.
Risk Management Settings: Adjust stop loss, take profit, and holding periods to match your risk tolerance.
Trade Direction Control: Enable or disable long and short trades independently to align with your market strategy or compliance requirements.
Time Settings: Modify the trading session times and enable or disable the time filter as needed.
Use Cases:
Trend Traders: Benefit from aligning entries with the broader market trend while capturing breakout movements.
Swing Traders: Exploit periods of low volatility leading to significant price swings.
Risk-Averse Traders: Utilize advanced risk management features to protect capital and manage exposure.
Disclaimer:
This strategy is a tool to assist in trading decisions and should be used in conjunction with other analyses and risk management practices. Past performance is not indicative of future results. Always test the strategy thoroughly and adjust settings to suit your specific trading style and market conditions.
Buy When There's Blood in the Streets StrategyStatistical Analysis of Drawdowns in Stock Markets
Drawdowns, defined as the decline from a peak to a trough in asset prices, are an essential measure of risk and market dynamics. Their statistical properties provide insights into market behavior during extreme stress periods.
Distribution of Drawdowns: Research suggests that drawdowns follow a power-law distribution, implying that large drawdowns, while rare, are more frequent than expected under normal distributions (Sornette et al., 2003).
Impacts of Extreme Drawdowns: During significant drawdowns (e.g., financial crises), the average recovery time is significantly longer, highlighting market inefficiencies and behavioral biases. For example, the 2008 financial crisis led to a 57% drawdown in the S&P 500, requiring years to recover (Cont, 2001).
Using Standard Deviations: Drawdowns exceeding two or three standard deviations from their historical mean are often indicative of market overreaction or capitulation, creating contrarian investment opportunities (Taleb, 2007).
Behavioral Finance Perspective: Investors often exhibit panic-selling during drawdowns, leading to oversold conditions that can be exploited using statistical thresholds like standard deviations (Kahneman, 2011).
Practical Implications: Studies on mean reversion show that extreme drawdowns are frequently followed by periods of recovery, especially in equity markets. This underpins strategies that "buy the dip" under specific, statistically derived conditions (Jegadeesh & Titman, 1993).
References:
Sornette, D., & Johansen, A. (2003). Stock market crashes and endogenous dynamics.
Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues. Quantitative Finance.
Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable.
Kahneman, D. (2011). Thinking, Fast and Slow.
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.
Large Candle Marker (Threshold in Cents)This indicator, Large Candle Marker, identifies and marks candles that exceed a specified size threshold. The size can be based on either the candle's body (difference between open and close) or the total range (difference between high and low). The threshold is entered in cents for easy configuration, and the indicator highlights these significant candles directly on the chart with a orange flag. It's perfect for spotting momentum or volatility in price movements. I use it to not enter trades after a large candle.
// INSTRUCTIONS:
// 1. Input the desired candle size threshold in cents in the settings menu.
// - For example, enter "30" for 30 cents or "50" for 50 cents.
// 2. Choose the size type:
// - Select "True" to use the candle body size (difference between open and close).
// - Select "False" to use the total range size (difference between high and low).
// 3. The script will mark candles exceeding the threshold with a red marker above the candle.
// 4. Apply this indicator to any chart to identify significant candles based on the threshold.
Awesome Oscillator with DivergenceSimple Awesome Oscillator with Divergences
This TradingView script combines the classic Awesome Oscillator (AO) with divergence detection. It plots AO as a histogram, highlighting changes in momentum. Divergences are identified based on pivot highs and lows, signaling potential trend reversals:
- Bullish Divergence: Price makes lower lows, AO makes higher lows.
- Bearish Divergence: Price makes higher highs, AO makes lower highs.
Visual signals (arrows) and alerts ensure clear identification, making it ideal for traders focusing on momentum and trend reversals.
Power Of 3 ICT 01 [TradingFinder] AMD ICT & SMC Accumulations🔵 Introduction
The ICT Power of 3 (PO3) strategy, developed by Michael J. Huddleston, known as the Inner Circle Trader, is a structured approach to analyzing daily market activity. This strategy divides the trading day into three distinct phases: Accumulation, Manipulation, and Distribution.
Each phase represents a unique market behavior influenced by institutional traders, offering a clear framework for retail traders to align their strategies with market movements.
Accumulation (19:00 - 01:00 EST) takes place during low-volatility hours, as institutional traders accumulate orders. Manipulation (01:00 - 07:00 EST) involves false breakouts and liquidity traps designed to mislead retail traders. Finally, Distribution (07:00 - 13:00 EST) represents the active phase where significant market movements occur as institutions distribute their positions in line with the broader trend.
This indicator is built upon the Power of 3 principles to provide traders with a practical and visual tool for identifying these key phases. By using clear color coding and precise time zones, the indicator highlights critical price levels, such as highs and lows, helping traders to better understand market dynamics and make more informed trading decisions.
Incorporating the ICT AMD setup into daily analysis enables traders to anticipate market behavior, spot high-probability trade setups, and gain deeper insights into institutional trading strategies. With its focus on time-based price action, this indicator simplifies complex market structures, offering an effective tool for traders of all levels.
🔵 How to Use
The ICT Power of 3 (PO3) indicator is designed to help traders analyze daily market movements by visually identifying the three key phases: Accumulation, Manipulation, and Distribution.
Here's how traders can effectively use the indicator :
🟣 Accumulation Phase (19:00 - 01:00 EST)
Purpose : Identify the range-bound activity where institutional players accumulate orders.
Trading Insight : Avoid placing trades during this phase, as price movements are typically limited. Instead, use this time to prepare for the potential direction of the market in the next phases.
🟣 Manipulation Phase (01:00 - 07:00 EST)
Purpose : Spot false breakouts and liquidity traps that mislead retail traders.
Trading Insight : Observe the market for price spikes beyond key support or resistance levels. These moves often reverse quickly, offering high-probability entry points in the opposite direction of the initial breakout.
🟣 Distribution Phase (07:00 - 13:00 EST)
Purpose : Detect the main price movement of the day, driven by institutional distribution.
Trading Insight : Enter trades in the direction of the trend established during this phase. Look for confirmations such as breakouts or strong directional moves that align with broader market sentiment
🔵 Settings
Show or Hide Phases :mDecide whether to display Accumulation, Manipulation, or Distribution.
Adjust the session times for each phase :
Accumulation: 1900-0100 EST
Manipulation: 0100-0700 EST
Distribution: 0700-1300 EST
Modify Visualization : Customize how the indicator looks by changing settings like colors and transparency.
🔵 Conclusion
The ICT Power of 3 (PO3) indicator is a powerful tool for traders seeking to understand and leverage market structure based on time and price dynamics. By visually highlighting the three key phases—Accumulation, Manipulation, and Distribution—this indicator simplifies the complex movements of institutional trading strategies.
With its customizable settings and clear representation of market behavior, the indicator is suitable for traders at all levels, helping them anticipate market trends and make more informed decisions.
Whether you're identifying entry points in the Accumulation phase, navigating false moves during Manipulation, or capitalizing on trends in the Distribution phase, this tool provides valuable insights to enhance your trading performance.
By integrating this indicator into your analysis, you can better align your strategies with institutional movements and improve your overall trading outcomes.
Naji's Price Change DetectorThis indicator detects when the price goes up or down by a customizable % and time. This allows the user to detect large changes in the market in order to try to catch the reversal.
This does not detect the reversal, you need to decide when to enter the trade yourself.
Key Features:
Customizable Settings:
Percent Change Threshold: You can change this in the settings panel (default = 4%).
Number of Bars to Check: Adjustable between 1 and any desired number of bars (default = 5).
Dynamic Calculation:
The script calculates the price change for every bar within the specified range.
Alerts:
Alerts are customized to reflect the chosen settings and will trigger only once per bar close.
Background Highlights:
Green: A price increase exceeding the threshold was detected.
Red: A price decrease exceeding the threshold was detected.
Forward Price Performance TableThis calculates the percentage price changes for three key timeframes:
1 week (5 trading days ago)
1 month (17 trading days ago),
3 months (45 trading days ago).
This is to show a forward looking performance based on earlier timeframes that traditionally used. This is the framework I team uses to calculate performance metrics.
NY Trading Session TrackerNY Trading Session Tracker
This indicator highlights the New York trading session (14:30–21:00 UTC) directly on your chart. It visually identifies the session with a customizable background color and optional labels marking the session’s open and close. For added clarity, the labels can display the precise open and close prices, formatted with commas and up to 4 decimal places. Perfect for intraday traders looking to focus on one of the most active market periods.
Features:
• Highlight the NY session with a customizable background.
• Optional session open/close labels.
• Display open/close prices with professional formatting.
• Fully customizable settings for labels and colors.
Streamline your trading workflow and focus on what matters with the NY Trading Session Tracker!
Percent % Change Since Specific Date / TimeFUNCTIONS
- User specified Date/Time of importance
- Calculate the percent change since user input date/time to current price
- Plot a line at user input date/time
USAGE
You want to see how much price has changed since a certain important date/time.
Example important date: Trump win, FED rate change, Earnings, etc.
