[COG] Advanced School Run StrategyAdvanced School Run Strategy (ASRS) – Explanation
Overview: The Advanced School Run Strategy (ASRS) is an intraday trading approach designed to identify breakout opportunities based on specific time and price patterns. This script applies the concepts of the Advanced School Run Strategy as outlined in Tom Hougaard's research, adapted to work seamlessly on TradingView charts. It leverages 5-minute candlestick data to set actionable breakout levels and provides traders with visual cues and alerts to make informed decisions.
Features:
Dynamic Breakout Levels: Automatically calculates high and low levels based on the market's behavior during the initial trading minutes.
Custom Visualization: Highlights breakout zones with customizable colors and transparency, providing clear visual feedback for bullish and bearish breakouts.
Configurable Alerts: Includes alert conditions for both bullish and bearish breakouts, ensuring traders never miss a trading opportunity.
Reset Logic: Resets breakout levels daily at the market open to ensure accurate signal generation for each session.
How It Works:
The script identifies key levels (high and low) after a configurable number of minutes from the market open (default: 25 minutes).
If the price breaks above the high level or below the low level, a corresponding breakout is detected.
The script draws breakout zones on the chart and triggers alerts based on the breakout direction.
All levels and signals reset at the start of each new trading session, maintaining relevance to current market conditions.
Customization Options:
Line and box colors for bullish and bearish breakouts.
Transparency levels for breakout visualizations.
Alert settings to receive notifications for detected breakouts.
Acknowledgment: This script is inspired by Tom Hougaard's Advanced School Run Strategy. The methodology has been translated into Pine Script for TradingView users, adhering to TradingView’s policies and community guidelines. This script does not redistribute proprietary content from the original research but implements the principles for educational and analytical purposes.
Statistics
Anomaly DetectorPrice Anomaly Detector
This is a script designed to identify unusual price movements. By analyzing deviations from typical price behavior, this tool helps traders spot potential trading opportunities and manage risks effectively.
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Features
- Anomaly Detection: Flags price points that significantly deviate from the average.
- Visual Indicators: Highlights anomalies with background colors and cross markers.
- Customizable Settings: Adjust sensitivity and window size to match your trading strategy.
- Real-Time Analysis: Continuously updates anomaly signals as new data is received.
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Usage
After adding the indicator to your chart:
1. View Anomalies: Red backgrounds and cross markers indicate detected anomalies.
2. Adjust Settings: Modify the `StdDev Threshold` and `Window Length` to change detection sensitivity.
3. Interpret Signals:
- Red Background: Anomaly detected on that bar.
- Red Cross: Specific point of anomaly.
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Inputs
- StdDev Threshold: Higher values reduce anomaly sensitivity. Default: 2.0.
- Window Length: Larger windows smooth data, reducing false positives. Default: 20.
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Limitations
- Approximation Method: Uses a simple method to detect anomalies, which may not capture all types of unusual price movements.
- Performance: Extremely large window sizes may impact script performance.
- Segment Detection: Does not group consecutive anomalies into segments.
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Disclaimer : This tool is for educational purposes only. Trading involves risk, and you should perform your own analysis before making decisions. The author is not liable for any losses incurred.
Rolling CAGRRolling CAGR (Compound Annual Growth Rate) Indicator
This indicator calculates and plots the rolling Compound Annual Growth Rate (CAGR) for any selected data source. CAGR represents the mean annual growth rate of an investment over a specified time period, taking into account the effect of compounding.
Features:
• Customizable data source (default: close price)
• Adjustable time period in years
• Configurable trading days per year (252 for stocks, 365 for crypto)
• Results displayed as percentage values
• Works on daily timeframes
Input Parameters:
• Data Source: Select the price or indicator data to analyze
• Number of Years: Set the lookback period for CAGR calculation
• Trading Days in a Year: Adjust based on market type (252 for stocks, 365 for crypto)
Usage:
Perfect for analyzing long-term growth rates and comparing investment performance across different periods. The indicator provides a rolling view of compound growth, helping traders and investors understand the sustained growth rate of an asset over their chosen timeframe.
Note: This indicator is designed for daily timeframes as CAGR calculations are most meaningful over longer periods.
Formula Used:
CAGR = (End Value / Start Value)^(1/number of years) - 1
Quantitative Breakout Bands (AIBitcoinTrend)Quantitative Breakout Bands (AIBitcoinTrend) is an advanced indicator designed to adapt to dynamic market conditions by utilizing a Kalman filter for real-time data analysis and trend detection. This innovative tool empowers traders to identify price breakouts, evaluate trends, and refine their trading strategies with precision.
👽 What Are Quantitative Breakout Bands, and Why Are They Unique?
Quantitative Breakout Bands combine advanced filtering techniques (Kalman Filters) with statistical measures such as mean absolute error (MAE) to create adaptive price bands. These bands adjust to market conditions dynamically, providing insights into volatility, trend strength, and breakout opportunities.
What sets this indicator apart is its ability to incorporate both position (price) and velocity (rate of price change) into its calculations, making it highly responsive yet smooth. This dual consideration ensures traders get reliable signals without excessive lag or noise.
👽 The Math Behind the Indicator
👾 Kalman Filter Estimation:
At the core of the indicator is the Kalman Filter, a recursive algorithm used to predict the next state of a system based on past observations. It incorporates two primary elements:
State Prediction: The indicator predicts future price (position) and velocity based on previous values.
Error Covariance Adjustment: The process and measurement noise parameters refine the prediction's accuracy by balancing smoothness and responsiveness.
👾 Breakout Bands Calculation:
The breakout bands are derived from the mean absolute error (MAE) of price deviations relative to the filtered trendline:
float upperBand = kalmanPrice + bandMultiplier * mae
float lowerBand = kalmanPrice - bandMultiplier * mae
The multiplier allows traders to adjust the sensitivity of the bands to market volatility.
👾 Slope-Based Trend Detection:
A weighted slope calculation measures the gradient of the filtered price over a configurable window. This slope determines whether the market is trending bullish, bearish, or neutral.
👾 Trailing Stop Mechanism:
The trailing stop employs the Average True Range (ATR) to calculate dynamic stop levels. This ensures positions are protected during volatile moves while minimizing premature exits.
👽 How It Adapts to Price Movements
Dynamic Noise Calibration: By adjusting process and measurement noise inputs, the indicator balances smoothness (to reduce noise) with responsiveness (to adapt to sharp price changes).
Trend Responsiveness: The Kalman Filter ensures that trend changes are quickly identified, while the slope calculation adds confirmation.
Volatility Sensitivity: The MAE-based bands expand and contract in response to changes in market volatility, making them ideal for breakout detection.
👽 How Traders Can Use the Indicator
👾 Breakout Detection:
Bullish Breakouts: When the price moves above the upper band, it signals a potential upward breakout.
Bearish Breakouts: When the price moves below the lower band, it signals a potential downward breakout.
The trailing stop feature offers a dynamic way to lock in profits or minimize losses during trending moves.
👾 Trend Confirmation:
The color-coded Kalman line and slope provide visual cues:
Bullish Trend: Positive slope, green line.
Bearish Trend: Negative slope, red line.
👽 Why It’s Useful for Traders
Dynamic and Adaptive: The indicator adjusts to changing market conditions, ensuring relevance across timeframes and asset classes.
Noise Reduction: The Kalman Filter smooths price data, eliminating false signals caused by short-term noise.
Comprehensive Insights: By combining breakout detection, trend analysis, and risk management, it offers a holistic trading tool.
👽 Indicator Settings
Process Noise (Position & Velocity): Adjusts filter responsiveness to price changes.
Measurement Noise: Defines expected price noise for smoother trend detection.
Slope Window: Configures the lookback for slope calculation.
Lookback Period for MAE: Defines the sensitivity of the bands to volatility.
Band Multiplier: Controls the band width.
ATR Multiplier: Adjusts the sensitivity of the trailing stop.
Line Width: Customizes the appearance of the trailing stop line.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Range Averages [Blu_Ju]Using Ranges
A popular analysis technique among traders is to use statistical price data over a given time range. For example, a trader might want to examine the average price range for the time period of 9:30 am - 10:00 am EST (commonly referred to as the Opening Range), and compare the average range to the current, live range as it forms.
What this Script Does
This script allows a user to monitor the current price range against the average price range of up to six different periods of time (sessions). The data is presented in a table in the chart window, with four stats listed per session:
Range: This is the most recent (or current) price range for the session. This value is updated in real-time as the price range forms.
Avg: This is the average price range for the session. (See below for how this is calculated.)
Diff: This is the price difference between the most recent (or current) price range of the session and the average price range of the session. When the most recent price range is smaller than the average, this will be a negative number. This value is updated in real-time as the price range forms.
Range %: This is the percent value of the most recent (or current) price range of the session compared to the average price range of the session. For example, If the most recent price range was half that of the average price range, the Range % would be 50%. If the most recent price range was twice that of the average price range, the Range % would be 200%. A Range % value of 100% indicates that the most recent price range is equal to the average price range. This value is updated in real-time as the price range forms.
What Makes this Script Unique
While this is not the only publicly available average range script, what makes it unique is the complete user control over up to six sessions (including overlapping sessions) and the display of that data.
Scope of this Script
This script is intended for use on intraday timeframes only. It will not calculate properly on daily or higher timeframes. Additionally, for the calculation to be correct, the input session must be evenly divisible by the chart timeframe. For example, if the user inputs a session that is 30 minutes long (e.g., 9:30 am - 10:00 am), then the calculations would be correct on the 1, 2, 3, 5, 10, 15, and 30-minute timeframes only.
User Inputs
This script was written to provide the user with maximum control over the range data and how that data is displayed. These are the user inputs:
Data - Input the number of days used to calculate the average price range of the sessions. This input is applied to all six sessions. The default value is 10.
Sessions - There are six sessions the user can set. Checking the box next to a session will cause that session data to be calculated and displayed. This allows the user to turn on or off a session at their discretion. The default value are displayed in the chart image above.
Visibility - Checking this box will cause the range data to be displayed only when the range is currently forming (i.e., live price is within the session). This allows the user to display the data from multiple sessions only when needed.
Visual Styles - This section has controls for how the data table is displayed. The user can select the table position, colors and border, and text size.
Smart Money Breakout Signals [AlgoAlpha]Introducing the Smart Money Breakout Signals, a cutting-edge trading indicator designed to identify key structural shifts and breakout opportunities in the market. This tool leverages a blend of smart money concepts like Break of Structure (BOS) and Change of Character (CHoCH) to provide traders with actionable insights into market direction and potential entry or exit points.
Key Features :
✨ Market Structure Analysis : Automatically detects and labels BOS and CHoCH for trend confirmation and reversals.
🎨 Customizable Visualization : Tailor bullish and bearish colors for breakout lines and signals to suit your preferences.
📊 Dynamic Take-Profit Targets : Displays three tiered take-profit levels based on breakout volatility.
🔔 Real-Time Alerts : Stay ahead of the game with notifications for bullish and bearish breakouts.
📋 Performance Dashboard : Monitor signal statistics, including win rates and total signals, directly on your chart.
How to Use :
Add the Indicator : Add the script to your favourites ⭐ and customize settings like market structure horizon and confirmation type.
Monitor Breakouts : Observe BOS and CHoCH labels to identify potential trend shifts. Use the breakout lines and tiered take-profit levels to plan trades effectively.
Set Alerts : Enable alerts for bullish or bearish breakouts to act on opportunities without constant monitoring.
How It Works :
The indicator identifies market structure by analyzing pivot highs and lows over a user-defined time horizon. A breakout is confirmed based on either candle closes or wicks surpassing previous pivot points. Upon detection, the script generates signals with breakout lines and calculates take-profit targets based on the distance from the breakout level. A built-in dashboard tracks performance metrics like total signals and win rates, giving traders real-time feedback on strategy effectiveness.
200 EMA Breakout & Retest Strategy200 EMA Breakout & Retest Strategy
This script is designed for traders who rely on the 200 EMA as a key indicator for trend direction and trade setups. The strategy identifies potential buy and sell opportunities based on breakouts and subsequent retests of the 200 EMA.
How It Works
EMA Breakout Detection:
The script monitors when the price crosses and closes above or below the 200 EMA.
No signal is generated immediately upon the breakout.
Retest Confirmation:
After the breakout, the price must retrace to touch the 200 EMA.
A valid signal occurs only when the price touches the EMA and the candle closes above (for buy) or below (for sell).
Trade Signal Generation:
Once the retest is confirmed:
A Buy Signal is generated if the price closes above the 200 EMA after the retest.
A Sell Signal is generated if the price closes below the 200 EMA after the retest.
The script calculates:
Stop Loss: Placed at the low of the candle for a buy signal and at the high of the candle for a sell signal.
Take Profit: Based on a customizable Risk-Reward Ratio (default is 1:2).
Visual Indicators:
The 200 EMA is plotted on the chart for reference.
Buy/Sell signals are displayed as labels on the chart.
Stop loss and take profit levels are drawn using dotted lines.
Customization Options
EMA Length: Adjustable (default is 200).
Risk-Reward Ratio: Customizable to suit different trading styles.
Who Is This For?
This strategy is ideal for traders who:
Prefer trading with the trend using EMA-based strategies.
Look for precise entry points with confirmation from retests.
Require automated calculation of risk-reward levels.
CAD CHF JPY (Index) vs USDDescription:
Analyze the combined performance of CAD, CHF, and JPY against the USD with this customized Forex currency index. This tool enables traders to gain a broader perspective of how these three currencies behave relative to the US Dollar by aggregating their movements into a single index. It’s a versatile tool designed for traders seeking actionable insights and trend identification.
Core Features:
Flexible Display Options:
Choose between Line Mode for a simplified view of the index trend or Candlestick Mode for detailed analysis of price action.
Custom Weight Adjustments:
Fine-tune the weight of each currency pair (USD/CAD, USD/CHF, USD/JPY) to better reflect your trading priorities or market expectations.
Moving Average Integration:
Add a moving average to smooth the data and identify trends more effectively. Choose your preferred type: SMA, EMA, WMA, or VWMA, and configure the number of periods to suit your strategy.
Streamlined Calculation:
The index aggregates data from USD/CAD, USD/CHF, and USD/JPY using a weighted average of their OHLC (Open, High, Low, Close) values, ensuring accuracy and adaptability to different market conditions.
Practical Applications:
Trend Identification:
Use the Line Mode with a moving average to confirm whether CAD, CHF, and JPY collectively show strength or weakness against the USD. A rising trendline signals currency strength, while a declining line suggests USD dominance.
Weight-Based Analysis:
If CAD is expected to lead, adjust its weight higher relative to CHF and JPY to emphasize its influence in the index. This customization makes the indicator adaptable to your market outlook.
Actionable Insights:
Identify key reversal points or breakout opportunities by analyzing the interaction of the index with its moving average. Combined with other technical tools, this indicator becomes a robust addition to any trader’s toolkit.
Additional Notes:
This indicator is a valuable resource for comparing the collective behavior of CAD, CHF, and JPY against the USD. Pair it with additional oscillators or divergence tools for a comprehensive market overview.
Perfect for both intraday analysis and swing trading strategies. Combine it with EUR GPB AUD (Index) indicator.
Good Profits!
Futuristic Indicator v3 - Enhanced Glow & Strength MetersTo ensure candles are display by script go to trading view settings and uncheck default Candle, Body and Wick to prevent them from plotting over your modified candles.
Futuristic Indicator v3 - Enhanced Glow & Strength Meters: Detailed Breakdown
This Modern styled Pine Script indicator is designed to enhance technical analysis by providing a visually striking OLED-style dashboard with multiple market insights. It integrates trend detection, momentum analysis, volatility tracking, and strength meters into a single, streamlined interface for traders.
1️⃣ Customizable Features for Flexibility
The indicator offers multiple user-configurable settings, allowing traders to adjust the display based on their trading strategy and preferences. Users can toggle elements such as strength meters, volatility indicators, trend arrows, moving averages, and buy/sell alerts. Additionally, background and candle colors can be customized for better readability.
🔹 Why is this useful?
Traders can customize their charts to focus on the data they care about.
Reduces chart clutter by allowing users to toggle features on or off.
2️⃣ Trend Detection Using EMAs
This indicator detects market trends using two Exponential Moving Averages (EMA):
A "Fast" EMA (shorter period) for quick trend shifts.
A "Slow" EMA (longer period) to confirm trends.
Comparison of the two EMAs determines if the trend is bullish (uptrend) or bearish (downtrend).
The indicator colors the trend lines accordingly and adds a trend arrow 📈📉 for quick visual cues.
🔹 Why is this useful?
EMA crossovers are widely used to identify trend reversals.
Provides clear visual cues for traders to confirm entry & exit points.
3️⃣ RSI-Based Momentum Analysis
The indicator integrates the Relative Strength Index (RSI) to gauge market momentum. The momentum value changes color dynamically based on whether it's in bullish (>50) or bearish (<50) territory.
🔹 Why is this useful?
RSI helps identify overbought and oversold conditions.
Detects trend strength by measuring the speed of price movements.
4️⃣ Bullish & Bearish Strength Meters
The indicator quantifies bullish and bearish market strength based on RSI and converts it into a percentage-based meter:
Bullish Strength (Long Strength)
Bearish Strength (Short Strength)
Strength meters are displayed using OLED-styled bars, dynamically changing in real-time.
🔹 Why is this useful?
Allows traders to visually gauge market sentiment at a glance.
Helps confirm if a trend has strong momentum or is losing strength.
5️⃣ Market Volatility Indicator (ATR-Based)
The indicator includes a volatility tracker using the Average True Range (ATR):
ATR is scaled up to provide easier readability.
Higher ATR values indicate higher market volatility.
🔹 Why is this useful?
Helps traders identify potential breakout or consolidation phases.
Allows better risk management by understanding price fluctuations.
6️⃣ Trend Strength Calculation
The indicator calculates trend strength based on the difference between the EMAs:
A higher trend strength value suggests a stronger directional trend.
Displayed as a percentage for better clarity.
🔹 Why is this useful?
Helps traders differentiate between strong and weak trends.
Reduces the likelihood of entering weak or choppy markets.
7️⃣ OLED-Style Dashboard for Market Data
A futuristic OLED-styled table is used to display critical market data in a visually appealing way:
Trend direction (Bullish/Bearish with an arrow 📈📉).
Current price.
Momentum value.
Strength meters (Bullish/Bearish).
Trend strength percentage.
Volatility Meter
The dashboard uses high-contrast colors and neon glow effects, making it easier to read against dark backgrounds.
🔹 Why is this useful?
Provides a centralized view of key trading metrics.
Eliminates the need to manually calculate trend strength.
8️⃣ Modern Style Neon Glow Effects
To enhance visibility, the indicator applies glowing effects to:
Moving Averages (EMAs): Highlighted with layered glow effects.
Candlesticks: Borders and wicks dynamically change color based on trend direction.
🔹 Why is this useful?
Improves readability in low-contrast or dark-mode charts.
Helps traders spot trends faster without reading numerical data.
9️⃣ Automated Buy & Sell Alerts
The script triggers alerts when momentum crosses key levels:
Above 55 → Potential Long Setup
Below 45 → Potential Short Setup.
🔹 Why is this useful?
Alerts help traders react quickly without constantly monitoring the chart.
Reduces the risk of missing critical trade opportunities.
🔹 Final Summary: Why is This Indicator Useful?
This futuristic cyberpunk-styled trading tool enhances traditional market analysis by combining technical indicators with high-visibility visuals.
🔹 Key Benefits:
✅ Customizable Display – Toggle elements based on trading needs.
✅ Trend Detection – EMAs highlight uptrends & downtrends.
✅ Momentum Tracking – RSI-based momentum gauge identifies strong moves.
✅ Strength Meters – Bullish/Bearish power is clearly visualized.
✅ Volatility Insights – ATR-based metric highlights market turbulence.
✅ Trend Strength Analysis – Quantifies trend intensity.
✅ Dashboard – Provides a centralized, easy-to-read data panel.
✅ Cyberpunk Neon Glow – Enhances clarity with stylish aesthetics.
✅ Real-Time Alerts – Helps traders react to key opportunities.
This indicator is designed to be both functional and visually appealing, making market analysis more intuitive and efficient. 🚀
Multiple Values TableThis Pine Script indicator, named "Multiple Values Table," provides a comprehensive view of various technical indicators in a tabular format directly on your trading chart. It allows traders to quickly assess multiple metrics without switching between different charts or panels.
Key Features:
Table Position and Size:
Users can choose the position of the table on the chart (e.g., top left, top right).
The size of the table can be adjusted (e.g., tiny, small, normal, large).
Moving Averages:
Calculates the 5-day Exponential Moving Average (5DEMA) using daily data.
Calculates the 5-week and 20-week EMAs (5WEMA and 20WEMA) using weekly data.
Indicates whether the current price is above or below these moving averages in percentage terms.
Drawdown and Williams VIX Fix:
Computes the drawdown from the 365-day high to the current close.
Calculates the Williams VIX Fix (WVF), which measures the volatility of the asset.
Shows both the current WVF and a 2% drawdown level.
Relative Strength Index (RSI):
Displays the current RSI and compares it to the RSI from 14 days ago.
Indicates whether the RSI is increasing, decreasing, or flat.
Stochastic RSI:
Computes the Stochastic RSI and compares it to the value from 14 days ago.
Indicates whether the Stochastic RSI is increasing, decreasing, or flat.
Normalized MACD (NMACD):
Calculates the Normalized MACD values.
Indicates whether the MACD is increasing, decreasing, or flat.
Awesome Oscillator (AO):
Calculates the AO on a daily timeframe.
Indicates whether the AO is increasing, decreasing, or flat.
Volume Analysis:
Displays the average volume over the last 22 days.
Shows the current day's volume as a percentage of the average volume.
Percentile Calculations:
Calculates the current percentile rank of the WVF and ATH over specified periods.
Indicates the percentile rank of the current volume percentage over the past period.
Table Display:
All these values are presented in a neatly formatted table.
The table updates dynamically with the latest data.
Example Use Cases:
Comprehensive Market Analysis: Quickly assess multiple indicators at a glance.
Trend and Momentum Analysis: Identify trends and momentum changes based on various moving averages and oscillators.
Volatility and Drawdown Monitoring: Track volatility and drawdown levels to manage risk effectively.
This script offers a powerful tool for traders who want to have a holistic view of various technical indicators in one place. It provides flexibility in customization and a user-friendly interface to enhance your trading experience.
Trading IQ - Razor IQIntroducing TradingIQ's first dip buying/shorting all-in-one trading system: Razor IQ.
Razor IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside price dips of varying significance in trending markets. By integrating artificial intelligence and IQ Technology, Razor IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Razor IQ
Razor IQ operates on a single premise: Trends must retrace, and these retracements offer traders an opportunity to join in the overarching trend. At some point traders will enter against a trend in aggregate and traders in profitable positions entered during the trend will scale out. When occurring simultaneously, a trend will retrace against itself, offering an opportunity for traders not yet in the trend to join in the move and continue the trend.
Razor IQ is designed to work straight out of the box. In fact, its simplicity requires just a few user settings to manage output, making it incredibly straightforward to manage.
Long Limit Order Stop Loss and Minimum ATR TP/SL are the only settings that manage the performance of Razor IQ!
Traders don’t have to spend hours adjusting settings and trying to find what works best - Razor IQ handles this on its own.
Key Features of Razor IQ
Self-Learning Retracement Detection
Employs AI and IQ Technology to identify notable price dips in real-time.
AI-Generated Trading Signals
Provides retracement trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Self-Learning Trading Exits
Razor IQ learns where to exit positions.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
How It Works
Razor IQ operates on a straightforward heuristic: go long during the retracement of significant upside price moves and go short during the retracement of significant downside price moves.
IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “trend” and a “retracement” and what’s considered a tradable dip buying/shorting opportunity. For Razor IQ, this algorithm evaluates all historical trends and retracements, how much trends generally retrace and how long trends generally persist. For instance, the "dip" following an uptrend is measured and learned from, including the significance of the identified trend level (how long it has been active, how much price has increased, etc). By analyzing these patterns, Razor IQ adapts to identify and trade similar future retracements and trends.
In simple terms, Razor IQ clusters previous trend and retracement data in an attempt to trade similar price sequences when they repeat in the future. Using this knowledge, it determines the optimal, current price level where joining in the current trend (during a retracement) has a calculated chance of not stopping out before trend continuation.
For long positions, Razor IQ enters using a market order at the AI-identified long entry price point. If price closes beneath this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is achieved, a stop-loss order is immediately placed at breakeven, and a trailing stop loss controls the remainder of the trade. With this, so long as TP1 is achieved, the position will not endure a loss. So long as price continues to uptrend, Razor IQ will remain in the position.
For short positions, Razor IQ provides an AI-identified short entry level. If price closes above this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry Razor IQ implements a TP order and SL order (identifiable on the price chart).
Downtrends, in most markets, usually operate differently than uptrends. With uptrends, price usually increases at a modest pace with consistency over an extended period of time. Downtrends behave in an opposite manner - price decreases rapidly for a much shorter duration.
With this observation, the long dip entry heuristic differs slightly from the short dip entry heuristic.
The long dip entry heuristic specializes in identifying larger, long-term uptrends and entering on retracement of the uptrends. With a dedicated trailing stop loss, so long as the uptrend persists, Razor IQ will remain in the position.
The short dip entry heuristic specializes in identifying sharp, significant downside price moves, and entering short on upside volatility during these moves. A fixed stop loss and profit target are implemented for short positions - no trailing stop is used.
As a trading system, Razor IQ exits all TP orders using a limit order, with all stop losses exited as stop market orders.
What Classifies As a Tradable Dip?
For Razor IQ, tradable price dips are not manually set but are instead learned by the system. What qualifies as an exploitable price dip in one market might not hold the same significance in another. Razor IQ continuously analyzes historical and current trends (if one exists), how far price has moved during the trend, the duration of the trend, the raw-dollar price move of price dips during trends, and more, to determine which future price retracements offer a smart chance to join in any current price trend.
The image above illustrates the Razor Line Long Entry point.
The green line represents the Long Retracement Entry Point.
The blue upper line represents the first profit target for the trade.
The blue lower line represents the trailing stop loss start point for the long position.
The position is entered once price closes below the green line.
The green Razor Lazor long entry point will only appear during uptrends.
The image above shows a long position being entered after the Long Razor Lazor was closed beneath.
Green arrows indicate that the strategy entered a long position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines above the entry price indicate the TP1 level for the current long trade. Blue lines below the current price indicate the initial stop loss price.
If price reaches TP1, a stop loss will be immediately placed at breakeven, and the in-built trailing stop will determine the future exit price.
A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
If the trailing stop is above the breakeven stop loss, then the trailing stop will be hit before the breakeven stop loss, which means the remainder of the trade will be exited at a profit.
If the breakeven stop loss is above the trailing stop, then the breakeven stop loss will be hit first. In this case, the remainder of the position will be exited at breakeven.
The image above shows the trailing stop price, represented by a blue line, and the breakeven stop loss price, represented by a pink line, used for the long position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above exemplifies Razor IQ's output when a downtrend is active.
When a downtrend is active, Razor IQ will switch to "short mode". In short mode, Razor IQ will display a neon red line. This neon red line indicates the Razor Lazor short entry point. When price closes above the red Razor Lazor line a short position is entered.
The image above shows Razor IQ during an active short position.
The image above shows Razor IQ after completing a short trade.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at the profit target or the fixed stop loss.
Blue lines indicate the profit target level for the current trade when below price. and blue lines above the current price indicate the stop loss level for the short trade.
Short traders do not utilize a trailing stop - only a fixed profit target and fixed stop loss are used.
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
Minimum Profit Target And Stop Loss
The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission.
After changing either setting, Razor IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss.
AI Direction
The AI Direction setting controls the trade direction Razor IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
Verifying Razor IQ’s Effectiveness
Razor IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing.
This table shows the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Razor IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Razor IQ
While Razor IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations.
The hallmark feature of Razor IQ is its ability to signal an acceptable dip entry opportunity - for both uptrends and downtrends. Long entries are often signaled near the bottom of a retracement for an uptrend; short entries are often signaled near the top of a retracement for a downtrend.
Razor IQ will always operate on exact price levels; however, users can certainly take advantage of Razor IQ's trend identification mechanism and retracement identification mechanism to use as confluence with their personally crafted trading strategy.
Of course, every trend will reverse at some point, and a good dip buying/shorting strategy will often trade the reversal in expectation of the prior trend continuing (retracement). It's important not to aggressively filter retracement entries in hopes of avoiding an entry when a trend reversal finally occurs, as this will ultimately filter out good dip buying/shorting opportunities. This is a reality of any dip trading strategy - not just Razor IQ.
Of course, you can set alerts for all Razor IQ entry and exit signals, effectively following along its systematic conquest of price movement.
Crodl Position Size CalculatorThe Crodl Size Position Calculator is a powerful and intuitive tool designed for traders to calculate their position size, risk, and reward before entering a trade. This indicator simplifies trade planning by providing clear calculations of key metrics such as risk-to-reward ratio, position size, expected profit, and current PnL (Profit and Loss).
Features:
Dynamic Input Fields: Customize your trade parameters, including risk loss, leverage, entry price, stop loss, and take profit.
Position Size Calculation: Automatically calculate the number of units to trade based on your risk tolerance and leverage.
Risk/Reward Ratio: See the ratio of potential profit to risk for informed decision-making.
Real-Time PnL Tracking: Monitor your current profit or loss directly on the chart.
Expected Profit Projection: Displays the profit potential based on your risk-to-reward ratio.
Position Plotting: Visualize your entry, stop loss, and take profit levels directly on the chart with color-coded lines and zones.
User-Friendly Table: A detailed table provides clear visibility of all trade metrics, including:
Risk Loss
Leverage
Entry Price
Stop Loss
Take Profit
Risk/Reward Ratio
Bet Amount
Crypto Units
Real-Time PnL
Expected Profit
How It Works:
Set Your Parameters: Input your desired risk loss, leverage, entry price, stop loss, and take profit levels in the settings.
Get Instant Results: The indicator calculates position size, PnL, expected profit, and other key metrics.
Visualize on the Chart: See your entry, stop loss, and take profit levels plotted on the chart for clarity.
Review the Trade Table: A table at the bottom-right of the screen summarizes all calculations and updates dynamically as the market price changes.
Who is it for? This indicator is ideal for traders of all experience levels, whether you're a beginner learning risk management or a professional looking for efficient trade planning tools.
Customization Options:
Adjust the size of the plotted position zones.
Enable or disable zone plotting for a cleaner chart.
Tailor inputs to match your trading strategy.
Note: Always use proper risk management and ensure your trading parameters align with your personal trading goals and strategy. Use at Own Risk
Closing Prices for Indices AMMOthe "Closing Prices for Indices" indicator displays the daily closing prices of four major stock indices: FTSE 100, DAX 40, Dow Jones Industrial Average, and NASDAQ Composite. The indicator updates the prices based on their respective market closing times:
FTSE 100 and DAX 40: Updates at 4:30 PM UK time.
Dow Jones and NASDAQ Composite: Updates at 9:00 PM UK time.
Key features:
Customizable Labels: Option to display labels showing the closing prices directly on the chart.
Color-Coded Lines: Plots each index's closing price using distinct, customizable colors for easy differentiation.
User-Friendly Settings: Includes options for customizing line and label colors.
This indicator is perfect for traders and analysts looking to monitor and compare key index closing prices visually on their charts.
Best Buffett Ratio w/ Std-Dev Offset + Conditional PlotSummary:
This script provides a visually clear way to track the so-called “Buffett Ratio,”
a popular market valuation gauge which compares the total US stock market cap
to the country’s GDP. In addition, it plots a “hardcoded” long-term trend line,
along with fixed standard-deviation bands (in log space), and uses background colors
to signal potentially overvalued or undervalued zones.
What Is the Buffett Ratio?
Often credited to Warren Buffett, the Buffett Ratio (or Buffett Indicator) measures:
(Total US Stock Market Capitalization) / (US GDP)
• A higher ratio typically means equities are more expensive relative to the size of the economy.
• A lower ratio suggests equities may be more attractively valued compared to GDP.
Historically, the ratio has tended to drift upward over many decades,
as the US economy and stock markets grow, but it still oscillates around some trend over time.
How to Use
1) Add to Chart:
- In TradingView, simply apply the indicator (it internally fetches CRSPTM1 & GDP data).
2) Tweak Inputs:
- Log Offset for 1σ: Adjust how wide the ±1σ/±2σ bands appear around the trend.
- Anchor Points: Edit startYear , endYear , startRatio , endRatio
if you want a different slope or different “fair value” anchors.
3) Interpretation:
- If the indicator is above +2σ (red line) , it’s historically “very expensive,”
often leading to lower future returns over the long term.
- If it’s below –2σ (green line) , it’s historically “deep undervaluation,”
often pointing to better future returns over time.
- The intermediate zones show degrees of mild over- or undervaluation.
How This Script Works
1) Buffett Ratio Calculation:
- The script requests data from TradingView’s built-in CRSPTM1 index (total US market cap).
- It also requests US GDP data via request.economic("US", "GDP") .
- If GDP data is missing, the ratio becomes na on that bar.
2) Hardcoded Trend Line:
- Rather than a rolling average, the script uses two “anchors” (e.g. 1950 → 0.30 ratio, 2024 → 1.25 ratio)
and solves for a single log-growth rate to produce a steady upward slope.
3) Fixed Standard Deviations in Log Space:
- The script takes the log of the trend line, then applies a fixed offset for ±1σ and ±2σ,
creating proportional bands that do not “expand/contract” from a rolling window.
4) Conditional Plotting:
- The script only begins plotting once the Buffett Ratio actually has data (around 2011).
5) Color-Coded Zones:
- Above +2σ: red background (historically very expensive)
- Between +1σ and +2σ: yellow background (moderately expensive)
- Between –1σ and +1σ: no background color (around normal)
- Between –2σ and –1σ: aqua background (moderately undervalued)
- Below –2σ: green background (historically deep undervaluation)
Final Notes
• Data Limitations: US GDP data and CRSPTM1 only go back so far, so this starts around 2011.
• Long-Term vs. Short-Term: Best viewed on monthly/quarterly charts and interpreted over years.
• Tuning: If you believe structural changes have shifted the ratio’s fair slope,
adjust the code’s anchors or log offsets.
Enjoy, and use responsibly!
Countdown Candle RRS// Countdown Candle RRS Indicator
//
// This indicator displays a countdown timer for the current candle on the chart.
// It shows the remaining time until the current candle closes, providing traders
// with a visual reference for time-based decision making.
//
// Features:
// - Customizable countdown display (size, position, and color)
// - Adapts to different timeframes (daily, hourly, and minute-based)
// - Displays time in appropriate format based on the chart timeframe
// - Daily or higher: XdHH:MM:SS (e.g., 2d05:30:15)
// - Hourly: HH:MM:SS
// - Minute or lower: MM:SS
// - Updates in real-time on the last candle
//
// Usage:
// - Add this indicator to your chart to see the countdown timer
// - Use the input options to customize the appearance and position of the timer
// - The timer will update on each tick, showing the time remaining until the current candle closes
//
// Note: This indicator is particularly useful for traders who need precise timing
// for entry or exit decisions, especially in fast-moving markets or when using
// specific time-based strategies.
//
// Author: reza rashidi
// Version: 1.0
Comprehensive Volume and Metrics with Pre-Market Volume Data
This script is designed for traders who want a detailed view of market activity, including regular market and pre-market volume, dollar volume, relative volume (RVOL), average daily range (ADR), average true range (ATR), relative strength index (RSI), and the QQQ’s percentage change.
The script includes customizable metrics displayed in tables on the chart for easy analysis, with the option to toggle the visibility of each metric.
Key Features:
Volume and Dollar Volume:
Displays the volume of shares traded during the current day (or pre-market, if enabled).
Includes a calculation of dollar volume, representing the total dollar amount of trades (Volume × Close Price).
Relative Volume (RVOL):
Displays RVOL Day, which is the relative volume of the current day compared to the 2-day moving average.
Shows RVOL 90D, indicating relative volume over the past 90 days.
Both RVOL metrics are calculated as percentages and display the percentage change compared to the standard (100%).
Pre-Market Data:
Includes pre-market volume (PVOL) and pre-market dollar volume (P$ VOL) which are displayed only if pre-market data is enabled.
Tracks volume and dollar volume during pre-market hours (4:00 AM to 9:30 AM Eastern Time) for more in-depth analysis.
Optionally, shows pre-market RSI based on volume-weighted close prices.
Average Daily Range (ADR):
Displays the percentage change between the highest and lowest prices over the defined ADR period (default is 20 days).
Average True Range (ATR):
Shows the ATR, a popular volatility indicator, for a given period (default is 14 bars).
RSI (Relative Strength Index):
Displays RSI for the given period (default is 14).
RSI is calculated using pre-market data when available.
QQQ:
Shows the percentage change of the QQQ ETF from the previous day’s close.
The QQQ percentage change is color-coded: green for positive, red for negative, and gray for no change.
Customizable Inputs:
Visibility Options: Toggle the visibility of each metric, such as volume, dollar volume, RVOL, ADR, ATR, RSI, and QQQ.
Pre-Market Data: Enable or disable the display of pre-market data for volume and dollar volume.
Table Positioning: Adjust the position of tables displaying the metrics either at the bottom-left or bottom-right of the chart.
Text Color and Table Background: Choose between white or black text for the tables and customize the background color.
Tables:
The script utilizes tables to display multiple metrics in an organized and easy-to-read format.
The values are updated dynamically, reflecting real-time data as the market moves.
Pre-Market Data:
The script calculates pre-market volume and dollar volume, along with other key metrics like RSI and RVOL, to help assess market sentiment before the market officially opens.
The pre-market data is accumulated from 4:00 AM to 9:30 AM ET, allowing for pre-market analysis and comparison to regular market hours.
User-Friendly and Flexible:
This script is designed to be highly customizable, giving you the ability to toggle which metrics to display and where they appear on the chart. You can easily focus on the data that matters most to your trading strategy.
Price Move DetectorThe Price Move Detector is a powerful technical analysis tool that automatically detects and highlights significant price movements over a user-defined time frame. This indicator allows traders to quickly identify instances where an asset has experienced a large price change, making it easier to spot potential trading opportunities.
Key Features
Customizable Parameters: Adjust the percentage change and time period (bars or sessions) to define what qualifies as a "significant" price move.
Automatic Highlighting: The indicator overlays a background highlight on the chart whenever the price moves by the specified percentage within the chosen time period.
Flexible Time Frame: Use this indicator across various timeframes and adjust the settings to suit your trading strategy, such as detecting 100% price moves over 20 sessions.
Ideal for Historical Analysis: Perfect for backtesting and screening for past price surges, helping traders spot explosive price action and market trends.
Use Cases
Spot Potential Breakouts: Use the detector to identify stocks or assets that have made significant moves, potentially signaling the start of a breakout or new trend.
Quickly Identify Major Market Moves: Scan historical data to pinpoint times when an asset experienced substantial price changes, providing insight into past performance and future potential.
How to Use
Customize the Settings
Percentage Threshold: Set the minimum percentage increase (e.g., 50%, 100%) that qualifies as a significant move. You can experiment with different percentages to suit your analysis.
Time Period (Bars): Define the lookback period (in bars/sessions) over which the price move should be measured. For example, set it to 20 bars for a one-month time frame on a daily chart.
Analyze the Highlights
Whenever the price increases by the defined percentage over the set period, the indicator will highlight that section of the chart with a background color.
The highlighted sections will make it easy to identify historical periods of large price movements, which can be useful for spotting trends, potential breakouts, or other market behaviors.
Adjust the Parameters for Your Strategy
You can fine-tune the settings to detect smaller or larger price moves depending on your trading goals.
The indicator is flexible enough for use on different timeframes and assets, providing valuable insights across various markets.
Codi's Perp-Spot Basis# Perp-Spot Basis Indicator
This indicator calculates the percentage basis between perpetual futures and spot prices for crypto assets. It is inspired by the original concept from **Krugermacro**, with the added improvement of **automatic detection of the asset pairs** based on the current chart symbol. This enhancement makes it faster and easier to apply across different assets without manual configuration.
## How It Works
The indicator compares the perpetual futures price (e.g., `BTCUSDT.P`) to the spot price (e.g., `BTCUSDT`) on Binance. The difference is expressed as a percentage: (Perp - Spot) / Spot * 100
The results are displayed in a color-coded graph:
- **Blue (Positive Basis):** Perpetual futures are trading at a premium, indicating **bullish sentiment** among derivatives traders.
- **Red (Negative Basis):** Perpetual futures are trading at a discount, indicating **bearish sentiment** among derivatives traders.
This percentage basis is a core component in understanding funding rates and derivatives market dynamics. It serves as a faster proxy for funding rates, which typically lag behind real-time price movements.
---
## How to Use It
### General Concept
- **Red (Negative Basis):** Ideal to execute **longs** when derivatives traders are overly bearish.
- **Blue (Positive Basis):** Ideal to execute **shorts** when derivatives traders are overly bullish.
### Pullback Sniping
1. During an **uptrend**:
- If the basis turns **red** temporarily, it can signal an opportunity to **buy the dip**.
2. During a **downtrend**:
- If the basis turns **blue** temporarily, it can signal an opportunity to **sell the rip**.
3. Wait for the basis to **pop back** (higher in uptrend, lower in downtrend) to time entries more effectively—this often coincides with **stop runs** or **liquidations**.
### Intraday Execution
- **When price is falling**:
- If the basis is **red**, the move is derivatives-led (**normal**).
- If the basis is **blue**, spot traders are leading, and perps are offside—wait for **price dumps** before longing.
- **When price is rising**:
- If the basis is **blue**, the move is derivatives-led (**normal**).
- If the basis is **red**, spot traders are leading, and perps are offside—wait for **price pops** before shorting.
### Larger Time Frames
- **Consistently Blue Basis:** Indicates a **bull market** as derivatives traders are bullish over the long term.
- **Consistently Red Basis:** Indicates a **bear market** as derivatives traders are bearish over the long term.
---
## Improvements Over the Original
This version of the Perp-Spot Basis indicator **automatically detects the Binance perpetual futures and spot pairs** based on the current chart symbol. For example:
- If you are viewing `ETHUSDT`, it automatically references `ETHUSDT.P` for the perpetual futures pair and `ETHUSDT` for the spot pair in BINANCE.
Mxwll Hedge Suite [Mxwll]Hello Traders!
The Mxwll Hedge Suite determines the best asset to hedge against the asset on your chart!
By determining correlation between the asset on your chart and a group of internally listed assets, the Mxwll Hedge Suite determines which asset from the list exhibits the highest negative correlation, and then determines exactly how many coins/shares/contracts of the asset must be bought to achieve a perfect 1:1 hedge!
The image above exemplifies the process!
The purple box on the chart shows the eligible price action used to determine correlation between the asset on my chart (BTCUSDT.P) and the list of cryptocurrencies that can be used as a hedge!
From this price action, the coin determined to have to greatest negative correlation to BTCUSDT.P is FTMUSD.
The image above further outlines the hedge table located in the bottom-right corner of your chart!
The hedge table shows exactly how many coins you’d need to purchase for the hedge asset at various leverages to achieve a perfect 1:1 hedge!
Hedge Suite works on any asset on any timeframe!
And that’s all! A short and sweet script that is hopefully helpful to traders looking to hedge their positions with a negatively correlated asset!
Thank you, Traders!
IU Trailing Stop Loss MethodsThe 'IU Trailing Stop Loss Methods' it's a risk management tool which allows users to apply 12 trailing stop-loss (SL) methods for risk management of their trades and gives live alerts when the trailing Stop loss has hit. Below is a detailed explanation of each input and the working of the Script.
Main Inputs:
- bar_time: Specifies the date from which the trade begins and entry price will be the open of the first candle.
- entry_type: Choose between 'Long' or 'Short' positions.
- trailing_method: Select the trailing stop-loss method. Options include ATR, Parabolic SAR, Supertrend, Point/Pip based, Percentage, EMA, Highest/Lowest, Standard Deviation, and multiple target-based methods.
- exit_after_close: If checked, exits the trade only after the candle closes.
Optional Inputs:
ATR Settings:
- atr_Length: Length for the ATR calculation.
- atr_factor: ATR multiplier for SL calculation.
Parabolic SAR Settings:
- start, increment, maximum: Parameters for the Parabolic SAR indicator.
Supertrend Settings:
- supertrend_Length, supertrend_factor: Length and factor for the Supertrend indicator.
Point/Pip Based:
- point_base: Set trailing SL in points/pips.
Percentage Based:
- percentage_base: Set SL as a percentage of entry price.
EMA Settings:
- ema_Length: Length for EMA calculation.
Standard Deviation Settings:
- std_Length, std_factor: Length and factor for standard deviation calculation.
Highest/Lowest Settings:
- highest_lowest_Length: Length for the highest/lowest SL calculation.
Target-Based Inputs:
- ATR, Point, Percentage, and Standard Deviation based target SL settings with customizable lengths and multipliers.
Entry Logic:
- Trades initiate based on the entry_type selected and the specified bar_time.
- If Long is selected, a long trade is initiated when the conditions match, and vice versa for Short.
Trailing Stop-Loss (SL) Methods Explained:
The strategy dynamically adjusts stop-loss based on the chosen method. Each method has its calculation logic:
- ATR: Stop-loss calculated using ATR multiplied by a user-defined factor.
- Parabolic SAR: Uses the Parabolic SAR indicator for trailing stop-loss.
- Supertrend: Utilizes the Supertrend indicator as the stop-loss line.
- Point/Pip Based: Fixed point-based stop-loss.
- Percentage Based: SL set as a percentage of entry price.
- EMA: SL based on the Exponential Moving Average.
- Highest/Lowest: Uses the highest high or lowest low over a specified period.
- Standard Deviation: SL calculated using standard deviation.
Exit Conditions:
- If exit_after_close is enabled, the position will only close after the candle confirms the stop-loss hit.
- If exit_after_close is disabled, the strategy will close the trade immediately when the SL is breached.
Visualization:
The script plots the chosen trailing stop-loss method on the chart for easy visualization.
Target-Based Trailing SL Logic:
- When a position is opened, the strategy calculates the initial stop-loss and progressively adjusts it as the price moves favorably.
- Each SL adjustment is stored in an array for accurate tracking and visualization.
Alerts and Labels:
- When the Entry or trailing stop loss is hit this scripts draws a label and give alert to the user that trailing stop has been hit for the trade.
Note - on the historical data The Script will show nothing if the entry and the exit has happened on the same candle, because we don't know what was hit first SL or TP (basically how the candle was formed on the lower timeframe).
Summary:
This script offers flexible trailing stop-loss options for traders who want dynamic risk management in their strategies. By offering multiple methods like ATR, SAR, Supertrend, and EMA, it caters to various trading styles and risk preferences.
Uptrick: Oracle Metrics +
Introduction
Uptrick: Oracle Metrics + is a multi-dimensional trading indicator designed to consolidate various technical and risk-oriented signals into one accessible framework. It allows traders to observe market volatility, identify potential reversal points, and assess numerous performance metrics, all within a single interface.
Purpose
The main goal of this indicator is to simplify a broad array of market insights. It merges trend analysis, volatility indicators, on-chart signals, and risk-performance metrics to help traders quickly evaluate the state of a market and make more informed decisions.
Features
1. Cloud Visualization
A colored cloud overlays the chart, indicating market conditions. When the cloud narrows, it can signal upcoming breakout scenarios, as volatility compresses and price movement may accelerate. In contrast, when the cloud is wide, this could hint at an extended trend that might be nearing a pullback or retracement. Observing shifts between narrow and wide phases helps anticipate shifts in momentum.
This can be seen here:
Simple Cloud Overlay
You can also use the cloud like this: when it turns purple you sell when it turns aqua color you buy. These signals are not very accurate in ranging markets but therefore they are usually better on almost all timeframes and assets in trending markets. :
Bounces of cloud. The cloud can also be used as a type of support/resistance. In the example below you can see how the trend bounces off of the cloud. For example, you could add up to your position every time it touches the cloud and then you could fully exit when the cloud turns purple or the trend breaks below the cloud:
An example of a way you could use this indicator as a confirmation is here. In the image below, a fake signal is generated, you can eliminate this signal by waiting for the cloud to turn purple in order to have confirmation for a potential downward move:
2. Bar Coloring for Volatility and System States
Traders can choose between two bar-coloring methods:
• Volatility: Bars change color intensity based on the level of current volatility relative to a historical average. This helps in spotting abrupt changes in market behavior, where bars become more pronounced when volatility is higher. You can see the volatility information in the volatility table.
• System Score: Bars receive a color gradient determined by the indicator’s final overall score. This simplifies spotting bullish, bearish, or neutral phases without needing to inspect multiple metrics separately. The closer the final score is to zero the less the color difference between bullish and bearish is.
3. Reversion Signals and Potential Reversal Alerts
Two sets of on-chart markers help in spotting sudden shifts in momentum:
• Reversion Signals marked with the letter R: These signals combine RSI thresholds, stochastic crossovers, and EMA confirmation to identify potential reversals. RSI highlights overbought (above 70) or oversold (below 30) conditions, while stochastic crossovers confirm shifts in momentum. The EMA ensures signals align with the broader trend, reducing false positives in volatile markets. Together, these components provide a reliable way to spot potential market corrections or reversals.
• Potential Reversal Signals marked with small circles: These signals detect subtle shifts in momentum using a smoothed RSI (via TEMA) and changes in its slope. When the slope turns positive or negative near key levels, it highlights early-stage reversals. This approach helps traders identify timely entry or exit opportunities by capturing potential trend changes before they fully develop.
4. Main Metrics Table
A primary dashboard shows detailed performance measures and market analytics. Next to each value, there is a bullish or bearish arrow to hint at the current direction of that metric. The table includes the following:
• Sharpe Ratio: Offers a view of risk-adjusted returns, hinting at whether rewards outweigh the variability in price.
• Sortino Ratio: A variation of risk-adjusted return focusing more on downside risk.
• Treynor Ratio: Displays returns relative to systematic risk, referencing a user-provided beta.
• Information Ratio: Shows how the instrument is outperforming or underperforming a benchmark, scaled by tracking error.
• ROC: Rate of change in price over a specified period, reflecting momentum.
• MACD Histogram: The difference between fast and slow moving average convergence, illustrating momentum shifts.
• CMF: Chaikin Money Flow, evaluating buying or selling pressure by combining price and volume.
• Ulcer Index: A measure of drawdown intensity to gauge how severe downtrends or pullbacks have been.
• Amihud Ratio: Assesses illiquidity by comparing price impact to volume.
• Market Depth Ratio: Looks at price ranges relative to volume activity, indicating how deeply the market can absorb trades.
• S2F Ratio: Incorporates the asset’s circulating supply relative to its yearly production, sometimes referenced in markets with a defined issuance schedule.
• NVT Ratio: A network value to transactions ratio, typically applied to on-chain data.
• MVRV Ratio: Compares the asset’s market value with its realized value, highlighting overall valuation conditions.
• Autocorrelation: Shows how current price movement may be echoing previous price changes.
• Alpha: Measures excess return over what might be expected from a risk-free rate plus systematic market exposure.
• Skewness: Reveals the asymmetry of the return distribution.
• Kurtosis: Looks at whether returns have heavier or lighter tails than typical distributions.
• Max Drawdown: The largest peak-to-trough drop within a lookback window, a key measure of downside risk.
• Calmar Ratio: Evaluates returns in light of drawdowns, relating performance to the severity of pullbacks.
• Omega Ratio: Considers gains versus losses around a threshold return level to measure reward-to-risk balance.
• January Performance: A snapshot of how price behaves in January over a lookback, connected to the idea of seasonality.
• Bid-Ask Spread: Reflects the percentage difference between highest and lowest price in a period, hinting at market liquidity costs.
5. Final Score Table
After analyzing individual metrics, the indicator calculates an overall score that determines if the broader environment appears bullish, bearish, or neutral. This final score then influences optional color schemes across the chart, allowing traders to see at a glance how multiple data points combine into one stance. For those who prefer a visual “gauge,” an additional grid table can be enabled, where boxes fill with varying color intensities based on the current score. The score calculation is complex and uses a similar technique to TPI. It assigns values to each metric and then divides the score by the amount of metrics. The score is then visualized in the System Generation bar coloring option according to how intense the signal is.
Grids (visualization of how much more the score needs to be a full signal.):
6. Volatility Table
A separate table focuses on how current volatility compares with an average measure. When current volatility differs significantly from historical norms, the bars become more vividly colored. If volatility nears its average, the bars are more subdued. This helps traders know when to be cautious of sudden moves or to adapt their position sizing.
Indicator Inputs
Users can tailor numerous inputs to suit the nature of each instrument:
• Risk-Free Rate (annualized rate used for risk calculations)
• Benchmark Return (expected return of the market benchmark)
• Beta (measure of systematic risk, particularly for Treynor Ratio calculations)
• Lookback Period (window of time used for many rolling calculations)
• ROC Period (time span for the rate of change calculation)
• CMF Period (window for the Chaikin Money Flow measure)
• Ulcer Index Period (depth for the Ulcer Index reading)
• Amihud Illiquidity Period (period for measuring price impact relative to volume)
• Market Depth Ratio Period (time range for examining price breadth versus volume)
• Circulating Supply (used for the stock-to-flow calculation)
• Yearly Production (helps update the stock-to-flow ratio)
• Market Cap (overall value of the instrument, often used in ratio metrics)
• Transaction Volume (on-chain or traded volume data for NVT ratio)
• Realized Value (alternative valuation data, used in MVRV calculation)
• Threshold Return for Omega (sets a custom threshold above which returns are considered favorable)
• Bar Coloring Method (choose between volatility-based or final-score-based color themes)
• Table Text Size (adjust the display size of table entries)
• Additional parameters related to internal signals (like RSI lengths or smoothing settings) can be fine-tuned for different market behaviors. It is important to customize these fields according to the characteristics of the specific asset you are trading.
Important!
Adjust the inputs according to your current asset! The inputs under the 'Vital' section have to be adjusted so that the metrics function properly. If not well adjusted to your asset, your final score will be mixed up and System Bar coloring as well! These inputs include: Circulating Supply, Yearly Production, Market Cap, Transaction Volume, and Realized Value!
Originality and Uniqueness
Uptrick: Oracle Metrics + stands out by combining complex metrics, including calculations similar to the Trend Probability Indicator (TPI), to provide a deeper analysis of market conditions. The indicator offers multiple signals tailored to different trading scenarios, allowing users to filter and customize them manually through a variety of features. This flexibility, combined with its advanced risk and trend analysis tools, makes it a versatile solution for both momentum and long-term trading strategies.
Warnings
In some scenarios, overlapping numbers or markers may crowd the chart. A practical fix for any visual overlap is removing the indicator and then reapplying it, which generally resets the tables and color overlays.
Summary
Uptrick: Oracle Metrics + merges cloud-based analytics, bar-coloring for volatility or system state, reversion alerts, and a detailed metrics dashboard into one seamless interface. This synergy of short-term signals and long-term performance metrics aims to give traders a fuller perspective on risk, trend changes, and valuation. By tuning the inputs to each asset, traders can capture more relevant data, while the color-coded approach simplifies quick decision-making in a dynamic market environment.
Disclaimer
The Uptrick: Oracle Metrics + indicator is a tool designed to assist traders in analyzing market conditions and making informed decisions. It is not a guarantee of future performance or a substitute for independent financial advice. Trading involves significant risk, and past results do not guarantee future outcomes. Users are advised to conduct their own research, consider their financial situation, and consult with a licensed financial professional if necessary. Uptrick and its affiliates are not responsible for any financial losses incurred while using this indicator. Use at your own discretion and risk.
Advanced Options Trading Indicator: Buy & Sell Signal Generator This powerful custom indicator combines the Relative Strength Index (RSI) and Moving Average (MA) to help traders identify optimal entry and exit points in the options market. The indicator generates real-time buy and sell signals based on RSI crossovers and price positioning relative to the moving average, providing actionable insights for traders seeking to make informed decisions. Additionally, it calculates potential call and put option strike prices with a buffer for added flexibility and precision, ensuring a well-rounded approach to options trading.
Project R
Project R : Advanced Trading Strategy with Dynamic Entry Signals
Overview
Project R is a comprehensive trading script tailored for traders seeking accuracy in market entries and exits. It merges multiple technical indicators—CCI, Momentum, RSI, and Mean Reversion Bands—with advanced trading tools like supply and demand zone detection, ATR-based stop-loss levels, and tiered take-profit targets. The script is designed to cater to both trend-following and mean-reversion strategies, offering dynamic adaptability to various market conditions. Its robust functionality and user-focused customization make it an invaluable tool for traders aiming to optimize their performance in live markets.
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🔶 Key Features
1. Customizable Entry Signal Source
- Traders can select between CCI (Commodity Channel Index) and Momentum as the primary entry signal generator, depending on their preferred strategy.
- Additional confirmation through detection of regular bullish or bearish divergences within overbought and oversold zones of the RSI enhances signal reliability. This ensures the trader has an added layer of confidence in their decision-making.
2. Supply and Demand Area Tracking
- The script scans historical price action to detect critical supply and demand zones , areas where significant buying or selling interest has previously occurred.
- These zones are plotted on the chart to help traders anticipate reversals or breakouts, making it easier to identify high-probability entry and exit points.
3. Mean Reversion Bands
- EMA-based mean reversion bands provide clear visual guidance for traders employing mean-reversion strategies.
- The bands are calculated with adjustable multipliers, allowing traders to customize their sensitivity and identify optimal buy and sell zones within ranging markets.
4. ATR-Based Stop Loss and Take Profit Levels
- Dynamic risk management is achieved by calculating stop-loss levels and up to four take-profit targets using Average True Range (ATR) multipliers.
- This ensures that stop-loss and take-profit levels adjust automatically to market volatility, providing consistent risk-reward ratios tailored to prevailing conditions.
5. Higher Time Frame Confirmation
- The integration of a higher time frame EMA (Exponential Moving Average) filter ensures that trades are executed in alignment with broader market trends, increasing the probability of success.
- This feature is especially useful for traders who prioritize trend-following strategies and seek confirmation from larger time frames.
6. Status Tracking
- A dynamic status system displays the current state of the trade (e.g., "Waiting for Confirmation," "Enter Buy," or "Enter Sell") directly on the chart.
- The script also monitors and logs whether the stop loss or individual take-profit targets have been achieved, providing real-time updates for active trades.
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🔹 Usage
How It Works
- Buy Signals : A buy signal is generated when the following conditions are met:
1. The chosen entry signal (CCI/Momentum) crosses upward, indicating bullish momentum.
2. RSI is in the oversold range or exhibits bullish divergence, signaling potential upward reversal.
3. Price is positioned above the higher time frame EMA and approaches identified demand zones, reinforcing a high-probability entry.
- Sell Signals: A sell signal is triggered when:
1. The chosen entry signal crosses downward, indicating bearish momentum.
2. RSI is in the overbought range or exhibits bearish divergence, suggesting potential downward reversal.
3. Price is positioned below the higher time frame EMA and approaches supply zones, aligning with bearish market sentiment.
- Stop Loss and Take Profit:
- Stop-loss levels are calculated dynamically based on ATR values, ensuring they adapt to market volatility.
- Multiple take-profit levels are provided to enable traders to scale out of positions incrementally, optimizing profit-taking strategies.
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🔹 Practical Examples
- Mean Reversion Strategy: In ranging markets, traders can use the lower band as a buy zone and the upper band as a sell zone. For instance, when the price approaches the lower mean reversion band near a demand area, a buy signal is generated if other criteria are met.
- Trend Following Strategy: By aligning entries with the direction of the higher time frame EMA, traders can participate in long-term trends with greater confidence. For example, entering a buy trade when price crosses above the 50 EMA on a 1-hour chart ensures alignment with the dominant trend.
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🔹 Visual Options
- Users can fully customize the color schemes, line styles, and visibility of key features, including:
- Mean reversion bands.
- Supply and demand zones.
- Take-profit and stop-loss levels.
- Entry points and trade progression are visually marked, ensuring traders can track real-time performance effortlessly.
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🔶 Why Invite-Only?
Innovative Design
- Project R integrates advanced techniques, such as combining multiple indicators with supply and demand zone detection, to create a holistic and adaptable strategy.
- The use of ATR-based dynamic risk management and higher time frame confirmation offers traders a competitive edge in volatile markets.
Comprehensive Features
- The script provides a seamless trading experience by combining analysis, execution, and risk management in one tool.
- Its ability to cater to different trading styles (trend-following, mean-reversion, and divergence-based trading) ensures versatility and wide appeal.
Performance and Utility
- Real-time tracking, dynamic risk management, and precision in signal generation position Project R as a professional-grade tool that is suitable for traders of all levels.
- These features merit invite-only access to ensure the integrity of its use and provide exclusivity to dedicated traders who seek advanced functionality.
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🔹 Settings
- Entry Signal Source: Choose between CCI and Momentum as the primary signal generator.
- RSI Levels: Adjust overbought and oversold thresholds to fine-tune divergence detection.
- ATR Multipliers: Customize stop-loss and take-profit levels based on your risk tolerance.
- Higher Time Frame EMA: Configure the higher time frame and EMA period to align with your preferred strategy.
- Supply/Demand Lookback Period: Modify the range for identifying supply and demand zones to suit market conditions.
- Mean Reversion Bands: Toggle the bands on or off and adjust their multipliers for a tailored mean-reversion strategy.
