Market Sessions with Volume Profile - By LeviathanLondon Breakout Strategy Basics
The London breakout strategy aims to capitalize on the increased volatility that occurs when the London session opens. This strategy focuses on breakouts from the Asia session range, typically from 08:00 GMT (London open) to around 12:00 GMT. The idea is to catch the early momentum of the London session as price breaks out of the consolidation range established during the Asia session.
1. Identify Breakout Levels:
The Asia and London sessions are already drawn on the chart.
Focus on the high and low of the Asia session (19:00 GMT - 08:00 GMT) as key breakout levels for the London session.
Asia session high = Resistance.
Asia session low = Support.
2. Wait for Breakout: Watch for price to break either above the Asia session high or below the Asia session low.
A breakout above the Asia high signals a potential long trade, while a breakout below the Asia low signals a potential short trade.
3. RSI & MACD Confirmation:
RSI (Relative Strength Index):
For long trades, ensure RSI > 50 (indicating bullish momentum).
For short trades, ensure RSI < 50 (indicating bearish momentum).
MACD (Moving Average Convergence Divergence):
Look for a bullish crossover (MACD line above the signal line) for long trades.
Look for a bearish crossover (MACD line below the signal line) for short trades.
Confirm the MACD histogram:
Rising histogram indicates bullish momentum.
Falling histogram indicates bearish momentum.
4. Volume Confirmation:
Ensure there’s a volume spike when the breakout happens. A breakout without volume or with weak volume could indicate a fakeout.
Volume should be at least 20% higher than the average during the breakout to confirm a strong move.
5. Timeframe Strategy:
15-Minute Chart:
Use the last 3 candles to identify the overall trend.
If the last 3 candles are mostly bullish, the trend is up.
If the last 3 candles are mostly bearish, the trend is down.
5-Minute Chart:
Use this timeframe to monitor the trade after entering and confirm the breakout.
1-Minute Chart:
Use the 1-minute chart for entry precision:
For long trades, enter when a 1-minute candle closes above the breakout level, confirming volume and momentum.
For short trades, enter when a 1-minute candle closes below the breakout level, confirming volume and momentum.
6. Watch for Fakeouts:
If price breaks out but quickly reverses, it’s likely a fakeout.
Stay cautious if there’s no volume spike or if RSI and MACD don’t confirm the breakout. A fakeout is usually marked by low volume or no momentum confirmation from RSI/MACD.
J-BTC
3 EMAs, 5 SMA, FiboISRS📈 Enhanced Indicator with 3 EMAs, 5 SMAs, and Dynamic Fibonacci Levels 🔥
Description:
This advanced indicator combines Exponential Moving Averages (EMAs), Simple Moving Averages (SMAs), and Dynamic Fibonacci Levels to provide a clear view of trends and potential price reaction zones.
🔹 What is it for?
✅ Trend Identification:
EMAs react faster to price changes, helping to spot trend shifts.
SMAs offer a more stable view of the overall market trend.
Dynamic Fibonacci Levels act as dynamic support and resistance based on moving averages.
✅ Key Trading Zones:
EMA & SMA Crossovers: Potential entry or exit points.
Dynamic Fibonacci Levels: Help identify areas where price may bounce or consolidate.
🔹 How to Use It?
🔹 Moving Averages (SMAs & EMAs):
EMA 4, 9, and 18: Useful for detecting short-term trends and scalping.
SMA 8, 20, 50, 200, and 800: Key references for medium- and long-term trends.
🔹 Dynamic Fibonacci:
Based on the selected moving average, adjusting support/resistance levels dynamically.
Helps detect high-probability reversal or continuation zones.
🔹 Customization:
✅ Adjust the length of SMAs and EMAs according to your strategy.
✅ Change the moving average type for Fibonacci levels (SMA, EMA, or WMA).
✅ Enable or disable lines as needed.
📊 Currently, we are analyzing BTCUSDT on the 1-hour timeframe.
🚀 Add it to your chart and try it out now!
If you like this indicator, give it a 👍 and share it with the community. Happy trading! 💰🔥
BTC Buy/Sell Long/Short Super IndicatorBTC Patented Trading Method
This script combines my personal MACD+RSI+CCI+BOLINGER+EMA+STOCHASTIK strategy which I've been using for years, into a simpler indicator.
The BTC Trading Method is designed to automate the cryptocurrency trading process, enabling the analysis of market data, identification of entry and exit points, and automatic execution of trading operations based on developed algorithms.
IMPORTATNT:
TIKER: BTCUSDT
TIMEFRAMES: 15 min and 1H
INVITE-ONLY SCRIPT. Access must be given by me to test this. Request for access.
Algorithm Operation
The patented trading method utilizes a complex, multi-stage algorithm to automate analysis and trade execution based on technical indicators and specially designed trading strategies. The program’s core operation relies on data from technical and fundamental analysis, analyzed by artificial intelligence in real-time, allowing traders to find the best entry and exit points in the market.
Initiation of the Trading Process
When the strategy is launched, the program activates the calculation of key technical analysis indicators, with defined parameters (periods, data sources, and overbought/oversold zones). Parameters can vary depending on the user’s chosen configuration.
Next, the program tracks historical and current market data in real-time, using these indicators to create a “current state” of the market and subsequently analyze price dynamics.
Formation of Trading Signals
Based on the accumulated data, including historical price extremes and changes in indicator values, the program generates potential trading signals.
These signals are divided into two types:
Bullish Signals - generated upon detection of overbought conditions and corresponding divergence, indicating a potential upward price reversal.
Bearish Signals - created upon finding an oversold zone and bearish divergence, indicating a possible price decline.
The program also records local minimums and maximums for added signal accuracy, providing traders with complete information for decision-making.
Historical Analysis and Strategy Adjustment
The program records the history of all trades and signals, providing the trader with the opportunity for retrospective analysis. This data is used for further strategy optimization and adjustment of the trading system’s parameters depending on the current market situation and the user’s trading style.
In this way, the system automatically performs analysis, generates trading signals, initiates orders, and manages positions, allowing traders to minimize the emotional impact on the trading process and make informed decisions based on mathematically validated data.
IMPORTATNT:
TIKER: BTCUSDT
TIMEFRAMES: 15 min and 1H
INVITE-ONLY SCRIPT. Access must be given by me to test this. Request for access.
Crypto Multi-Volume IndicatorEnglish Description:
Money Flow/Volume Calculation:
Users can choose to calculate money flow by multiplying price and volume, or display raw volume directly.
Outlier Compression:
By recording the data for the last N bars and applying a percentile-based algorithm, the script compresses extreme values to prevent them from distorting the overall display.
Unit Scaling:
Auto Mode: Automatically determines the scaling factor and display unit by comparing the highest value among the last N bars to user-defined thresholds for B, M, and K.
Manual Mode: Allows users to manually specify the number of zeros to simplify, directly setting the scaling factor and display unit.
Intuitive Visualization and Labeling:
The script plots the data as a histogram, using green for rising prices and red for falling prices.
A label is displayed on the most recent bar, indicating the current mode, compression status, and the scaling unit in use.
中文说明：
资金量/成交量计算：
用户可以选择以“价格 × 成交量”计算资金量，或直接显示原始成交量。
极端值压缩：
通过记录最近 N 根 K 线数据，并使用分位数算法对数据进行压缩，防止个别极端值影响整体图表显示。
单位缩放：
自动模式： 根据最近 N 根 K 线中的最高值，与用户设置的 B、M、K 阀值比较，自动确定缩放因子与显示单位。
手动模式： 用户可自定义简化几个 0，通过输入参数直接设定缩放比例与显示单位。
直观图形与提示标签：
采用柱状图绘制资金量/成交量，并根据价格涨跌显示绿色（上涨）或红色（下跌）。
在最新 K 线上显示标签，提示当前使用的模式、压缩状态以及缩放单位。
Excess Liquidity IndicatorExcess Liquidity Indicator
This script visualizes excess liquidity trends in relation to risk assets. It estimates excess liquidity by combining various macroeconomic factors such as WW M2 money supply, central bank balance sheets, and interest rates, oil, and the dollar index, and it substracts WW GDP. The tool helps traders analyze liquidity-driven market trends in a structured manner.
Note: This script is for research purposes only and does not provide financial advice.
I cannot point names cause I get banned but work is inspired by others...
Ultimate Volatility Scanner by NHBprod - Requested by Client!Hey Everyone!
I created another script to add to my growing library of strategies and indicators that I use for automated crypto and stock trading! This strategy is for BITCOIN but can be used on any stock or crypto. This was requested by a client so I thought I should create it and hopefully build off of it and build variants!
This script gets and compares the 14-day volatility using the ATR percentage for a list of cryptocurrencies and stocks. Cryptocurrencies are preloaded into the script, and the script will show you the TOP 5 coins in terms of volatility, and then compares it to the Bitcoin volatility as a reference. It updates these values once per day using daily timeframe data from TradingView. The coins are then sorted in descending order by their volatility.
If you don't want to use the preloaded set of coins, you have the option of inputting your own coins AND/OR stocks!
Let me know your thoughts.
TOTAL3/BTC This Pine Script™ code, named "TOTAL3/BTC with Arrow," is designed for cryptocurrency analysis on TradingView.
This script essentially provides a visual tool for traders to gauge when altcoins might be gaining or losing ground relative to Bitcoin through moving average analysis and color-coded trend indication.
Intention was to help the community with a script based on classic TA only.
Use it with SASDv2r indicator.
Feel free to make it better. If you did so, please let me know.
Main elements:
Data Fetching: It retrieves market cap data for all cryptocurrencies excluding Bitcoin and Ethereum (TOTAL3) and for Bitcoin (BTC).
Ratio Calculation: The script calculates the ratio of TOTAL3 to BTC market caps, which indicates how altcoins (excluding ETH) are performing relative to Bitcoin.
Plotting the Ratio: This ratio is plotted on the chart with a blue line, allowing traders to see the relative performance visually.
Moving Averages: Two Simple Moving Averages (SMA) are calculated for this ratio, one for 20 periods (ma20) and another for 50 periods (ma50), though these are not plotted in the current version of the code.
Reference Lines: Horizontal lines are added at ratios of 0.3 and 0.8 to serve as visual equilibrium points or thresholds for analysis.
Complex Moving Average: The script uses constants (len, len2, cc, smoothe) from another script, suggesting it's adapting or simplifying another's logic for multi-timeframe analysis.
Average Calculation: Two SMAs (avg and avg2) are computed using the constants defined, focusing on different lengths for trend analysis.
Direction Determination: It checks if the moving average is trending up or down by comparing the current value with its value smoothe bars earlier.
Color Coding: The color of the plotted moving average changes based on its direction (lime for up, red for down, aqua if no clear direction), aiding in quick visual interpretation of trends.
Plotting: Finally, the script plots this multi-timeframe moving average with a dynamic color to reflect the current market trend of the TOTAL3/BTC ratio, with a thicker line for visibility.
Crypto Neo - Blockchain Momentum (BTC Settings)The Crypto Neo - Blockchain Momentum indicator analyzes Bitcoin’s on-chain activity to gauge bullish or bearish trends. It combines multiple on-chain metrics and applies different moving average strategies to assess Bitcoin’s momentum.
This indicator is designed to track key blockchain data sources, such as:
Hash Rate
Active Addresses
Transactions per Second
New Addresses
Trader Behavior
Long-Term Holders (Cruisers)
Money Flow In/Out
Large Transactions Count
It processes these inputs using various Moving Average (MA) types, including SMA, EMA, DMA, to generate a Bullish Momentum Score, which is visually displayed on the chart.
How to Use:
Select MA Type – Choose between SMA, EMA, MIXMA, or DMA to determine how moving averages are applied.
Set MA Lengths – Adjust MA1 Length and MA2 Length to define short-term vs. long-term trend comparison.
Customize Data Sources – Select different on-chain metrics for the indicator to analyze.
Interpret the Bullish Momentum Score:
🟢 Green (Strong Bullish Momentum) – Bullish on-chain signals dominate.
🟡 Yellow (Moderate Bullish Momentum) – Weak bullish trend forming.
⚪ White (Neutral) – No clear trend.
🟠 Orange (Moderate Bearish Momentum) – Weak bearish signals emerging.
🔴 Red (Strong Bearish Momentum) – Bearish on-chain signals dominate.
Important Notes
This indicator does not generate trading signals but helps interpret blockchain trends for informed decision-making.
Since it relies on daily on-chain data, it is best used on the 1D timeframe for accurate readings.
Real-time calculations may vary slightly due to different bar update behaviors.
This indicator is very useful to confirm market turns early. Here are a few an example setups:
1. Back in 2019 on chain metrics started trending up after the market had dumped signaling a very good opportunity to buy.
2. During the 2021 bull market. When the market was forming a top, the on chain metrics started trending down indicating a risk to the downside.
Spent Output Profit Ratio | JeffreyTimmermansSOPR
The "Spent Output Profit Ratio" , aka SOPR indicator is a valuable tool designed to analyze the profitability of spent Bitcoin outputs. SOPR is derived by dividing the selling price of Bitcoin by its purchase price, offering insights into market participants' profit-taking or loss-cutting behavior.
This script features two selectable SOPR metrics:
SOPR 30D: A 30-day Exponential Moving Average (EMA) for short-term trend analysis.
SOPR 365D: A 365-day EMA for assessing long-term profitability trends.
How It Works
Key Levels: The horizontal reference line at 1.0 acts as a critical threshold:
Above 1.0: Market participants are generally in profit, indicating bullish sentiment.
Below 1.0: Market participants are selling at a loss, often signaling bearish sentiment.
Background Colors
Green: Indicates bullish conditions when the selected SOPR value is above 1.
Red: Highlights bearish conditions when the value is below 1.
Dynamic Selection
Easily switch between SOPR 30D and SOPR 365D in the settings for tailored analysis.
Features
Customizable SOPR Selection: Toggle between 30-day and 365-day SOPR views based on your trading preferences.
Dynamic Label: A floating label displays the current SOPR value in real-time, along with the selected SOPR metric for easy monitoring.
Background Highlights: Visual cues for bullish and bearish conditions simplify chart interpretation.
Real-Time Alerts
Bullish Alerts: Triggered when the selected SOPR crosses above 1.
Bearish Alerts: Triggered when the selected SOPR crosses below 1.
Clean Visualization
The indicator includes a horizontal reference line and clear color schemes for easy trend identification.
The SOPR Indicator is an essential tool for traders and analysts seeking to understand Bitcoin market sentiment and profitability trends. Whether used for short-term trades or long-term market analysis, this script provides actionable insights to refine your decision-making process.
-Jeffrey
Improved Trend Reconnaissance | JeffreyTimmermansImproved Trend Reconnaissance
The Improved Trend Reconnaissance indicator is a robust tool designed to help traders identify and follow trends while avoiding market noise. It is especially effective for capturing longer-term trends and sustained price movements over extended time periods. By leveraging smoothed trend analysis and volatility-based consolidation detection, this indicator provides clear and actionable insights for traders focusing on significant market trends.
What Does This Indicator Do?
At its core, this indicator calculates a Half Trend value and applies advanced smoothing techniques to emphasize longer-term trends. Additionally, it incorporates volatility analysis using the Average True Range (ATR) to detect periods of consolidation, where trend signals are muted to prevent false signals.
Key Components Explained
Half Trend Calculation:
This indicator determines a Half Trend value based on the relationship between the Exponential Moving Average (EMA) of closing prices and the highest highs and lowest lows over a specified range.
The trend is further smoothed to minimize short-term fluctuations, ensuring the focus remains on sustained price movements.
ATR-Based Consolidation Detection:
By comparing the range of price highs and lows to a multiple of ATR, the indicator detects consolidation zones where the market is range-bound. During these periods, trend signals are suppressed to avoid false positives.
Trend Visualization:
Bullish Trends: Highlighted in green with upward markers and optional trend-colored candles.
Bearish Trends: Highlighted in red with downward markers and optional trend-colored candles.
Designed for Longer-Term Trends:
The default settings are optimized to capture longer-term trends, making this indicator particularly valuable for traders looking to identify and follow substantial market movements over extended periods.
Key Features
Optimized for Capturing Longer Trends:
With the default settings, the indicator is tailored to identify and follow longer-term price trends, reducing noise from minor fluctuations. This makes it ideal for traders focused on significant trends and extended price movements.
Customizable Inputs:
Parameters such as trend range, smoothing length, ATR calculation period, and consolidation threshold are fully customizable.
Visual settings, including trend colors and signal sizes, can be adjusted for personalized trading needs.
Dynamic Signal Generation:
Bullish Signals: Generated when the smoothed Half Trend crosses upward and the market is trending.
Bearish Signals: Generated when the smoothed Half Trend crosses downward and the market is trending.
Alerts can notify traders in real time when these conditions occur.
Enhanced Visualization:
Candle coloring based on trend direction provides an immediate visual representation of market momentum.
Plotted trend lines and filled regions between them emphasize the current trend's strength and direction.
Real-Time Dashboard:
Displays essential information, including the current ticker, trend direction, and status (bullish or bearish), directly on the chart.
How to Use This Indicator
Identify Longer-Term Trends:
Use the smoothed Half Trend line and trend-colored candles to identify and follow significant price trends.
The default settings are specifically designed to focus on extended trends, making it easier to spot major market moves.
Avoid Noise in Consolidation:
Pay attention to the consolidation detection feature, which suppresses signals during range-bound market conditions, aka mean-reverting markets.
This ensures that signals generated are more reliable and actionable.
Confirm Trend Signals:
Use the visual markers (flags) and dashboard status to validate bullish or bearish trends before making trading decisions.
Set Alerts:
Set alerts for bullish or bearish signals to stay informed about key market movements without constantly monitoring the charts.
Adapt for Your Strategy:
While optimized for longer-term trends, the customizable settings allow you to adapt the indicator for shorter-term strategies if needed.
What Makes This Indicator Unique?
Focus on Longer-Term Trends:
Unlike many indicators that respond to short-term fluctuations, this tool is tailored for longer-term trend-following systems, ensuring that traders capture the most meaningful price movements.
Noise Reduction:
By combining smoothing techniques and ATR-based consolidation detection, the indicator reduces market noise and focuses on actionable insights.
Clear Visual Representation:
The combination of trend-colored candles, plotted lines, and dashboard information simplifies the analysis of complex market trends.
Customizability:
Fully adjustable parameters ensure the indicator meets the specific needs of a wide range of trading styles.
Real-Time Feedback:
Alerts and dashboard integration keep traders informed, enabling timely and well-informed decision-making.
The Improved Trend Reconnaissance indicator is an essential tool for traders looking to focus on longer-term trends and sustained market movements. With its default settings optimized for capturing significant trends over extended periods, it offers clarity, precision, and actionable insights for successful trend-following trading.
-Jeffrey
WMA Killer Ratio Analysis | JeffreyTimmermansWMA Killer Ratio Analysis
The WMA Killer Ratio Analysis is a highly responsive trend-following indicator designed to deliver quick and actionable insights on the ETHBTC ratio. By utilizing advanced smoothing methods and normalized thresholds, this tool efficiently identifies market trends. Let’s dive into the details:
Core Mechanics
1. Smoothing with Standard Deviations
The WMA Killer Ratio Analysis begins by smoothing source price data using standard deviations, which measure the typical variance in price movements. This creates dynamic deviation levels:
Upper Deviation: Marks the high boundary, indicating potential overbought conditions.
Lower Deviation: Marks the low boundary, signaling potential oversold conditions.
These levels are integrated with the Weighted Moving Average (WMA), filtering out market noise and honing in on significant price shifts.
2. Weighted WMA Bands
The WMA is further refined with dynamic weighting:
Upper Weight: Expands the WMA, creating an Upper Band to capture extreme price highs.
Lower Weight: Compresses the WMA, forming a Lower Band to reflect price lows.
This adaptive dual-weighting system highlights potential areas for trend reversals or continuations with precision.
3. Normalized WMA (NWMA) Analysis
The Normalized WMA adds a deeper layer of trend evaluation: It calculates the percentage change between the source price and its smoothed average. Positive NWMA values suggest overbought conditions, while negative NWMA values point to oversold conditions.
Traders can customize long (buy) and short (sell) thresholds to align signal sensitivity with their strategy and market conditions.
Signal Logic
Buy (Long) Signals: Triggered when the price remains above the lower deviation level and the NWMA crosses above the long threshold. Indicates a bullish trend and potential upward momentum.
Sell (Short) Signals: Triggered when the price dips below the upper deviation level and the NWMA falls beneath the short threshold. Suggests bearish momentum and a potential downward trend.
Note: The WMA Killer Ratio Analysis is most effective when paired with other forms of analysis, such as volume, higher time-frame trends, or fundamental data.
Visual Enhancements
The WMA Killer Ratio Analysis emphasizes usability with clear and dynamic plotting features:
1. Color-Coded Trend Indicators: The indicator changes color dynamically to represent trend direction. Users can customize colors to suit specific trading pairs (e.g., ETHBTC, SOLBTC).
2. Threshold Markers: Dashed horizontal lines represent long and short thresholds, giving traders a visual reference for signal levels.
3. Deviation Bands with Fill Areas: Upper and Lower Bands are plotted around the WMA. Shaded regions highlight deviation zones, making trend boundaries easier to spot.
4. Signal Arrows and Bar Coloring: Arrows or triangles appear on the chart to mark potential buy (upward) or sell (downward) points. Candlesticks are color-coded based on the prevailing trend, allowing traders to interpret the market direction at a glance.
Customization Options
Adjustable Thresholds: Tailor the sensitivity of long and short signals to your strategy.
Dynamic Weighting: Modify upper and lower band weights to adapt the WMA to varying market conditions.
Source Selection: Choose the preferred input for price data smoothing, such as closing price or an average (hl2).
The WMA Killer Ratio Analysis combines rigorous mathematical analysis with intuitive visual features, providing traders with a reliable way to identify trends and make data-driven decisions. While it excels at detecting key market shifts, its effectiveness increases when integrated into a broader trading strategy.
-Jeffrey
VWAP Valuation Model | JeffreyTimmermansVWAP Valuation Model
This indicator provides a powerful tool for traders looking to assess the value of an asset based on the VWAP (Volume Weighted Average Price) and the z-score. The VWAP Valuation Model is designed to give insights into the overbought or oversold condition of an asset by comparing the current price to a volume-weighted average over a defined period.
Key Features:
VWAP Baseline: The indicator calculates a volume-weighted moving average of the price, which serves as the core reference line for price analysis.
Z-Score: The z-score is calculated to determine how far the current price deviates from the mean, adjusted for volatility. This score helps identify overbought and oversold conditions.
Smoothing Option: Optionally, the indicator can be smoothed for better visualization, with the smoothing length being adjustable.
Real-time Data: The indicator provides real-time insights for multiple assets, such as Bitcoin (BTCUSD), Ethereum (ETHUSD), and Solana (SOLUSD), and can take the broader market performance (like the total crypto market) into account.
Z-Score Table: The indicator features an interactive table that provides valuable information on the z-scores of selected assets, allowing traders to quickly get an overview of market conditions. The table is strategically positioned above the chart for maximum visibility without interfering with the chart data.
Usage:
Overbought/Oversold: A z-score above +1.5 indicates overvaluation (overbought), while a score below -1.5 indicates undervaluation (oversold). This indicator helps in making informed trading decisions.
VWAP Range: The indicator offers a visual representation of the VWAP range, crucial for understanding price trends and market dynamics.
This indicator is ideal for investors interested in fundamental analysis while also needing technical insights to identify buy and sell opportunities. It helps to objectively assess market valuation and make well-informed decisions.
Important Note: This indicators works only in mean-reverting markets, not trending periods.
-Jeffrey
Z-Score + Valuation BTC | JeffreyTimmermansBTC Valuation Indicator with Z-Score Analysis
The BTC Valuation Indicator is a sophisticated tool designed to offer traders and analysts a deeper understanding of Bitcoin’s market valuation, empowering them to make more informed decisions. By utilizing a combination of key moving averages and a logarithmic trendline, along with advanced statistical analysis through the Z-Score Indicator, this tool provides a comprehensive view of Bitcoin’s potential undervaluation or overvaluation.
Key Features:
200MA/P (200-Day Moving Average to Price Ratio)
This component compares Bitcoin’s current price to its 200-day Simple Moving Average (SMA), offering insights into the long-term trend. A positive value signals a potential undervaluation of Bitcoin, while a negative value may indicate overvaluation.
Use case: Identifying long-term price trends to forecast potential buying or selling opportunities.
50MA/P (50-Day Moving Average to Price Ratio)
This ratio focuses on the short-term dynamics of Bitcoin’s price, comparing it to its 50-day SMA. It helps traders detect bullish or bearish trends in the immediate future.
Use case: Spotting short-term market movements and adjusting strategies accordingly.
LTL/P (Logarithmic TrendLine to Price Ratio)
This ratio incorporates Bitcoin’s historical age, using a logarithmic trendline to measure price movements against long-term expectations. A divergence from this trendline can signal potential overvaluation or undervaluation, assisting in aligning trading decisions with broader market trends.
Use case: Evaluating the overall trajectory of Bitcoin’s value over time and predicting significant market shifts.
Z-Score Indicator Integration:
The BTC Valuation Indicator utilizes the Z-Score, a powerful statistical measure, to assess how far each of the aforementioned ratios deviates from the mean. Z-Scores help standardize these ratios, allowing traders to gauge the severity of under or overvaluation compared to historical averages.
What is a Z-Score?
A Z-score measures how far a data point is from the mean in terms of standard deviations. A Z-score of 0 indicates the value is exactly at the mean, while a positive or negative score shows how much the value deviates from it. A higher Z-score signals a more significant deviation, potentially pointing to a market anomaly, while a Z-score near 0 indicates normal conditions.
For instance:
A Z-score above +2 indicates that Bitcoin may be overvalued, with the likelihood of a market correction or reversion to the mean.
A Z-score below -2 signals possible undervaluation, suggesting an upward trend may be on the horizon.
Z-Score and Market Volatility
The Z-Score Indicator can be used in conjunction with volatility measures, such as the CBOE Volatility Index (VIX), to forecast potential market volatility. Just as a Z-scored VIX above +2 suggests decreasing volatility and the possibility of an upward trend, a Z-scored VIX below -2 indicates increasing volatility and a potential downward trend. This parallel can be used to predict Bitcoin’s potential movements in times of market uncertainty.
How to Use:
The BTC Valuation Indicator, when paired with the Z-Score, provides a more refined statistical framework to analyze Bitcoin’s market conditions. This integration allows traders to assess the severity of potential trends and price anomalies, assisting in the identification of profitable entry and exit points.
Important Considerations:
No Guarantee of Market Predictions: While this indicator is a valuable tool for assessing market conditions, no indicator can guarantee future performance. Always consider multiple factors and use the indicator as part of a comprehensive strategy.
Market Dynamics:
As market conditions evolve, continuously refine your approach. Historical performance may not be indicative of future results, and traders should remain vigilant to changing trends and developments.
By combining the power of moving averages, logarithmic trend lines, and Z-scores, the BTC Valuation Indicator equips investors with a robust, data-driven approach to Bitcoin valuation, enhancing decision-making and enabling a more nuanced understanding of market dynamics.
-Jeffrey
Puell Multiple BTC | JeffreyTimmermansThe Puell Multiple is a metric that assesses the relationship between mining profitability and market cycles. It is calculated by comparing the daily value of newly issued coins (USD) to the 365-day moving average of daily coin issuance (USD).
This indicator works best on the 1D BTC Chart. When interpreting the Puell Multiple, it can generally be understood as follows:
High values indicate that miner profitability is significantly higher than the yearly average. This may lead to an increased incentive for miners to sell off their holdings, putting additional selling pressure on the market.
Low values suggest that miner profitability is lower than the yearly average. In this case, miners might experience financial strain, causing some to reduce their hash power by shutting down mining rigs. This, in turn, can reduce the number of coins being sold into the market, as remaining miners need to liquidate fewer coins to maintain operations, thereby decreasing the impact on the liquid supply.
The Puell Multiple is a metric used primarily in the cryptocurrency space, specifically for Bitcoin, to assess whether Bitcoin is overvalued or undervalued in relation to its mining rewards. It helps to gauge the profitability of miners and, by extension, to assess market conditions.
Use:
This Puell Multiple is invented for Long-Term, Trend Following Systems.
The Puell Multiple trend can be visualized through the color of the bars, which represents the direction of the trend, while the background indicates the strength of that trend.
Bar Color: The color of the bars typically changes to reflect whether the trend is bullish or bearish. For example, green bars may indicate a strong bullish trend, while red bars signal a bearish or declining trend. The color coding helps to quickly interpret the market's overall movement in relation to mining profitability.
Background Color: The background of the chart is used to reflect the strength of the trend. A darker or more intense background may signify a stronger trend, indicating that the market conditions are more pronounced, while a lighter background can suggest a weaker or more uncertain trend, showing less certainty in the market’s direction.
Together, the combination of bar color and background provides a clearer picture of both the trend's direction and its strength, making it easier to assess potential market behavior based on miner profitability and market cycles.
Puell Multiple and Moving Average: They can be used as an extra tool to confirm the bullish or bearish trend. When the Puell Multiple is above the Moving Average, this will suggest and confirm that the trend is bullish.
How you score this for your own systems is up to you.
-Jeffrey
Puell Multiple BTC | JeffreyTimmermansThe Puell Multiple is a metric that assesses the relationship between mining profitability and market cycles. It is calculated by comparing the daily value of newly issued coins (USD) to the 365-day moving average of daily coin issuance (USD).
This indicator works best on the 1D BTC Chart. When interpreting the Puell Multiple, it can generally be understood as follows:
High values indicate that miner profitability is significantly higher than the yearly average. This may lead to an increased incentive for miners to sell off their holdings, putting additional selling pressure on the market.
Low values suggest that miner profitability is lower than the yearly average. In this case, miners might experience financial strain, causing some to reduce their hash power by shutting down mining rigs. This, in turn, can reduce the number of coins being sold into the market, as remaining miners need to liquidate fewer coins to maintain operations, thereby decreasing the impact on the liquid supply.
The Puell Multiple is a metric used primarily in the cryptocurrency space, specifically for Bitcoin, to assess whether Bitcoin is overvalued or undervalued in relation to its mining rewards. It helps to gauge the profitability of miners and, by extension, to assess market conditions.
Use:
This Puell Multiple is invented for Long-Term, Trend Following Systems.
The Puell Multiple trend can be visualized through the color of the bars, which represents the direction of the trend, while the background indicates the strength of that trend.
Bar Color: The color of the bars typically changes to reflect whether the trend is bullish or bearish. For example, green bars may indicate a strong bullish trend, while red bars signal a bearish or declining trend. The color coding helps to quickly interpret the market's overall movement in relation to mining profitability.
Background Color: The background of the chart is used to reflect the strength of the trend. A darker or more intense background may signify a stronger trend, indicating that the market conditions are more pronounced, while a lighter background can suggest a weaker or more uncertain trend, showing less certainty in the market’s direction.
Together, the combination of bar color and background provides a clearer picture of both the trend's direction and its strength, making it easier to assess potential market behavior based on miner profitability and market cycles.
Puell Multiple and Moving Average: They can be used as an extra tool to confirm the bullish or bearish trend. When the Puell Multiple is above the Moving Average, this will suggest and confirm that the trend is bullish.
How you score this for your own systems is up to you.
-Jeffrey
Puell Multiple BTC | JeffreyTimmermansThe Puell Multiple is a metric that assesses the relationship between mining profitability and market cycles. It is calculated by comparing the daily value of newly issued coins (USD) to the 365-day moving average of daily coin issuance (USD).
This indicator works best on the 1D BTC Chart. When interpreting the Puell Multiple, it can generally be understood as follows:
High values indicate that miner profitability is significantly higher than the yearly average. This may lead to an increased incentive for miners to sell off their holdings, putting additional selling pressure on the market.
Low values suggest that miner profitability is lower than the yearly average. In this case, miners might experience financial strain, causing some to reduce their hash power by shutting down mining rigs. This, in turn, can reduce the number of coins being sold into the market, as remaining miners need to liquidate fewer coins to maintain operations, thereby decreasing the impact on the liquid supply.
The Puell Multiple is a metric used primarily in the cryptocurrency space, specifically for Bitcoin, to assess whether Bitcoin is overvalued or undervalued in relation to its mining rewards. It helps to gauge the profitability of miners and, by extension, to assess market conditions.
Use:
This Puell Multiple is invented for Long-Term, Trend Following Systems.
The Puell Multiple trend can be visualized through the color of the bars, which represents the direction of the trend, while the background indicates the strength of that trend.
Bar Color: The color of the bars typically changes to reflect whether the trend is bullish or bearish. For example, green bars may indicate a strong bullish trend, while red bars signal a bearish or declining trend. The color coding helps to quickly interpret the market's overall movement in relation to mining profitability.
Background Color: The background of the chart is used to reflect the strength of the trend. A darker or more intense background may signify a stronger trend, indicating that the market conditions are more pronounced, while a lighter background can suggest a weaker or more uncertain trend, showing less certainty in the market’s direction.
Together, the combination of bar color and background provides a clearer picture of both the trend's direction and its strength, making it easier to assess potential market behavior based on miner profitability and market cycles.
Puell Multiple and Moving Average: They can be used as an extra tool to confirm the bullish or bearish trend. When the Puell Multiple is above the Moving Average, this will suggest and confirm that the trend is bullish.
How you score this for your own systems is up to you.
-Jeffrey
Bitcoin SMA channels - quorraThis indicator is specifically designed to identify potential Bitcoin bottom zones based on historical data and market trends. By analyzing price cycles and key support levels, it helps traders and investors make informed decisions. This tool is tailored for optimal use on higher timeframes like the daily chart. (Don't forget to ensure your chart is set to logarithmic)
1. Simple Moving Average (SMA) Calculation and Gradient Coloring
The script begins by calculating the 350-period SMA (sma350), which serves as the foundation for identifying the market's overall trend. To make the SMA visually intuitive, a gradient color function is implemented. This function changes the SMA's color based on whether the current price (close) is above or below the SMA.
If the price is above the SMA, the line appears in gray.
If the price is below the SMA, the line takes on a darker red shade.
This gradient coloring helps traders quickly gauge market sentiment and momentum, as the SMA effectively acts as a dynamic trend line.
2. Fibonacci-Based Multipliers for SMA Levels
The indicator computes several levels based on Fibonacci multipliers of the 350-period SMA. These levels provide additional layers of insight into potential support and resistance zones. The multipliers range from small values like 0.144 (indicating closer proximity to the SMA) to larger values like 9 (representing distant extensions).
These Fibonacci levels are plotted using hidden lines, ensuring that the chart remains uncluttered while still allowing for strategic visualization through filled zones. For instance:
Levels like SMA x 0.144 to SMA x 0.355 are closer to the SMA and are categorized as potential buy zones.
Levels like SMA x 2 to SMA x 9 extend further and are considered sell zones.
3. Filling Areas to Visualize Zones
To enhance the visual representation, the script uses fill() functions to color the regions between specific Fibonacci levels:
Buy Zones: These areas are filled with a semi-transparent gray color (#5a5a5a) to indicate levels where prices are likely to bounce upward.
Sell Zones: Conversely, these areas are filled with a semi-transparent red color (#5f0000), signaling regions where prices may encounter resistance and reverse downward.
This layered approach helps traders identify actionable price ranges without overwhelming them with excessive visual elements.
4. Pivot Points and Their Visualization
The script includes a pivot point system for identifying local highs and lows. Depending on the selected source (High/Low or Close/Open), it calculates pivot highs and lows over a specified period (prd).
Pivot highs (ph) are marked above bars using downward-facing labels.
Pivot lows (pl) are marked below bars using upward-facing labels.
The pivot points are adjustable via user inputs, allowing traders to fine-tune the detection of significant price swings.
5. Support and Resistance Channel Analysis
A key feature of this indicator is its ability to identify and display support and resistance (S/R) levels. The script calculates the maximum allowable width of an S/R channel as a percentage of the price range over a 300-bar window. It then groups pivot points within these channels to derive high and low boundaries.
Resistance Levels: Represented by the upper bounds of channels and highlighted with a red color.
Support Levels: Represented by the lower bounds of channels and highlighted with a gray color.
These levels are dynamically adjusted based on user-defined parameters such as channel width, maximum S/R levels, and strength.
6. Advanced Input Customization
The indicator provides several user-configurable inputs to adapt it to different trading strategies:
Pivot Period (prd): Determines the sensitivity of pivot point calculations.
Channel Width: Controls the percentage width of S/R zones.
Maximum S/R Levels: Sets the maximum number of S/R zones displayed.
Line Style and Color Settings: Allows customization of the visual appearance of lines and labels.
7. Strength Filtering for S/R Levels
To ensure the reliability of identified S/R levels, the script incorporates a filtering mechanism based on strength. Strength is determined by the number of pivot points that fall within a channel. Levels with insufficient strength are excluded, ensuring that only significant S/R zones are displayed.
8. Practical Applications
This indicator can be applied in various trading strategies:
Trend Identification: The SMA and its gradient coloring provide a clear indication of the market's prevailing trend.
Support/Resistance Trading: The Fibonacci levels and S/R zones help traders identify potential entry and exit points.
Risk Management: By visualizing key levels, the indicator assists traders in setting stop-loss and take-profit levels effectively.
This script combines multiple technical analysis techniques into a single, visually intuitive tool. It is particularly useful for Bitcoin traders seeking to enhance their decision-making process by leveraging both trend and level-based analysis.
Although this indicator is specifically designed for Bitcoin, it can also be applied to stocks or altcoins. It works best on longer timeframes, such as the daily chart. When the price reaches specific support levels, it may be wise to activate a DCA bot or confirm the bottom using other indicators. This approach helps enhance decision-making and ensures a more strategic entry or exit from positions.
2-Year MA Multiplier [UAlgo]The 2-Year MA Multiplier is a technical analysis tool designed to assist traders and investors in identifying potential overbought and oversold conditions in the market. By plotting the 2-year moving average (MA) of an asset's closing price alongside an upper band set at five times this moving average, the indicator provides visual cues to assess long-term price trends and significant market movements.
🔶 Key Features
2-Year Moving Average (MA): Calculates the simple moving average of the asset's closing price over a 730-day period, representing approximately two years.
Visual Indicators: Plots the 2-year MA in forest green and the upper band in firebrick red for clear differentiation.
Fills the area between the 2-year MA and the upper band to highlight the normal trading range.
Uses color-coded fills to indicate overbought (tomato red) and oversold (cornflower blue) conditions based on the asset's closing price relative to the bands.
🔶 Idea
The concept behind the 2-Year MA Multiplier is rooted in the cyclical nature of markets, particularly in assets like Bitcoin. By analyzing long-term price movements, the indicator aims to identify periods of significant deviation from the norm, which may signal potential buying or selling opportunities.
2-year MA smooths out short-term volatility, providing a clearer view of the asset's long-term trend. This timeframe is substantial enough to capture major market cycles, making it a reliable baseline for analysis.
Multiplying the 2-year MA by five establishes an upper boundary that has historically correlated with market tops. When the asset's price exceeds this upper band, it may indicate overbought conditions, suggesting a potential for price correction. Conversely, when the price falls below the 2-year MA, it may signal oversold conditions, presenting potential buying opportunities.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
Bitcoin Events HistoryWith this tool, you can travel back to Bitcoin’s very first price quote and retrace its entire history directly on your chart. Major events are plotted as labels or markers, providing context for how significant moments shaped Bitcoin’s journey.
Key Features
Comprehensive Event Coverage: From Bitcoin’s inception to the most recent updates.
Custom View: Change label colors, styles, sizes, and fonts using the script’s settings.
Regular Updates: New events are added regularly to keep the history current.
Replay History
Use Bar Replay Mode to step through Bitcoin’s price history and see events unfold in sequence.
Follow the on-screen instructions for a more immersive experience.
Community Contributions
If you notice a significant event missing or misplaced on a particular date, feel free to leave a comment! Your suggestions will be considered for the next update.
To all Bitcoin enthusiasts, traders, and anyone eager to explore the history of cryptocurrency from its inception, I hope you enjoy this indicator :)
Adapted RSI w/ Multi-Asset Regime Detection v1.1The relative strength index (RSI) is a momentum indicator used in technical analysis. RSI measures the speed and magnitude of an asset's recent price changes to detect overbought or oversold conditions in the price of said asset.
In addition to identifying overbought and oversold assets, the RSI can also indicate whether your desired asset may be primed for a trend reversal or a corrective pullback in price. It can signal when to buy and sell.
The RSI will oscillate between 0 and 100. Traditionally, an RSI reading of 70 or above indicates an overbought condition. A reading of 30 or below indicates an oversold condition.
The RSI is one of the most popular technical indicators. I intend to offer a fresh spin.
Adapted RSI w/ Multi-Asset Regime Detection
Our Adapted RSI makes necessary improvements to the original Relative Strength Index (RSI) by combining multi-timeframe analysis with multi-asset monitoring and providing traders with an efficient way to analyse market-wide conditions across different timeframes and assets simultaneously. The indicator automatically detects market regimes and generates clear signals based on RSI levels, presenting this data in an organised, easy-to-read format through two dynamic tables. Simplicity is key, and having access to more RSI data at any given time, allows traders to prepare more effectively, especially when trading markets that "move" together.
How we calculate the RSI
First, the RSI identifies price changes between periods, calculating gains and losses from one look-back period to the next. This look-back period averages gains and losses over 14 periods, which in this case would be 14 days, and those gains/losses are calculated based on the daily closing price. For example:
Average Gain = Sum of Gains over the past 14 days / 14
Average Loss = Sum of Losses over the past 14 days / 14
Then we calculate the Relative Strength (RS):
RS = Average Gain / Average Loss
Finally, this is converted to the RSI value:
RSI = 100 - (100 / (1 + RS))
Key Features
Our multi-timeframe RSI indicator enhances traditional technical analysis by offering synchronised Daily, Weekly, and Monthly RSI readings with automatic regime detection. The multi-asset monitoring system allows tracking of up to 10 different assets simultaneously, with pre-configured major pairs that can be customised to any asset selection. The signal generation system provides clear market guidance through automatic regime detection and a five-level signal system, all presented through a sophisticated visual interface with dynamic RSI line colouring and customisable display options.
Quick Guide to Use it
Begin by adding the indicator to your chart and configuring your preferred assets in the "Asset Comparison" settings.
Position the two information tables according to your preference.
The main table displays RSI analysis across three timeframes for your current asset, while the asset table shows a comparative analysis of all monitored assets.
Signals are colour-coded for instant recognition, with green indicating bullish conditions and red for bearish conditions. Pay special attention to regime changes and signal transitions, using multi-timeframe confluence to identify stronger signals.
How it Works (Regime Detection & Signals)
When we say 'Regime', a regime is determined by a persistent trend or in this case momentum and by leveraging this for RSI, which is a momentum oscillator, our indicator employs a relatively simple regime detection system that classifies market conditions as either Bullish (RSI > 50) or Bearish (RSI < 50). Our benchmark between a trending bullish or bearish market is equal to 50. By leveraging a simple classification system helps determine the probability of trend continuation and the weight given to various signals. Whilst we could determine a Neutral regime for consolidating markets, we have employed a 'neutral' signal generation which will be further discussed below...
Signal generation occurs across five distinct levels:
Strong Buy (RSI < 15)
Buy (RSI < 30)
Neutral (RSI 30-70)
Sell (RSI > 70)
Strong Sell (RSI > 85)
Each level represents different market conditions and probability scenarios. For instance, extreme readings (Strong Buy/Sell) indicate the highest probability of mean reversion, while neutral readings suggest equilibrium conditions where traders should focus on the overall regime bias (Bullish/Bearish momentum).
This approach offers traders a new and fresh spin on a popular and well-known tool in technical analysis, allowing traders to make better and more informed decisions from the well presented information across multiple assets and timeframes. Experienced and beginner traders alike, I hope you enjoy this adaptation.
MicroStrategy Bitcoin Premium v2 [Kendrick_Chan]In 2020, MicroStrategy, under the leadership of CEO Michael Saylor, began purchasing large amounts of Bitcoin to hedge against inflation and diversify its corporate treasury. This move transformed MicroStrategy into one of the largest corporate holders of Bitcoin, with the company continually increasing its holdings through additional purchases funded by issuing new shares and convertible bonds.
The MicroStrategy Bitcoin Premium indicator is a dynamic tool that underscores the enthusiasm of equity market investors to gain Bitcoin exposure through MicroStrategy's (MSTR) stock. This indicator measures the premium investors are willing to pay for MSTR shares relative to the company's Bitcoin and cash holdings, reflecting the traditional market's eagerness to hold Bitcoin indirectly.
How Does It Work:
When MicroStrategy issues convertible bonds, cash level increases and all CB are assumed to convert to stocks diluting the shares.
In case of sales of MSTR new shares, cash level increases and diluted shares are adjusted tentatively before the quarterly financial reports.
In the event of Bitcoin purchases, the Bitcoins holding increases while cash level decreases.
Premium = Assumed Diluted Market Cap / ( Bitcoins Value + Cash and Cash Equivalents ) - 100%
How To Use:
By understanding and utilizing the MicroStrategy Bitcoin Premium indicator, traders and investors can make more informed decisions, whether they are swing trading MSTR, gauging Bitcoin demand, or seeking arbitrage opportunities.
1. MSTR Swing Traders
Swing traders can leverage the indicator to identify potential MSTR entry and exit points based on the overbought or oversold conditions of the stock.
2. Bitcoin Investors and Traders
The premium indicator can serve Bitcoin investors as a proxy for gauging overall market demand. A high premium indicates strong demand for Bitcoin exposure through MSTR, reflecting broader market enthusiasm for Bitcoin. A low premium suggests reduced demand.
Bitcoin traders may also anticipate the Bitcoin demand driven by MicroStrategy:
a) Shen the premium is high, MicroStrategy could issue new shares or convertible bonds to raise funds and buy more Bitcoins.
b) Arbitrageurs might also short sell MSTR and buy the equivalent Bitcoins.
3. MSTR-Bitcoin Arbitrageurs
Arbitrage traders can use the premium indicator to exploit price discrepancies between MSTR stock and Bitcoin. This strategy profits from any convergence between the stock price and the value of the underlying Bitcoin holdings.
The indicator helps identify optimal times to enter and exit arbitrage positions, minimizing risk and maximizing potential returns by capitalizing on market inefficiencies.
Simple Moving Average with Regime Detection by iGrey.TradingThis indicator helps traders identify market regimes using the powerful combination of 50 and 200 SMAs. It provides clear visual signals and detailed metrics for trend-following strategies.
Key Features:
- Dual SMA System (50/200) for regime identification
- Colour-coded candles for easy trend visualisation
- Metrics dashboard
Core Signals:
- Bullish Regime: Price < 200 SMA
- Bearish Regime: Price > 200 SMA
- Additional confirmation: 50 SMA Cross-over or Cross-under (golden cross or death cross)
Metrics Dashboard:
- Current Regime Status (Bull/Bear)
- SMA Distance (% from price to 50 SMA)
- Regime Distance (% from price to 200 SMA)
- Regime Duration (bars in current regime)
Usage Instructions:
1. Apply the indicator to your chart
2. Configure the SMA lengths if desired (default: 50/200)
3. Monitor the color-coded candles:
- Green: Bullish regime
- Red: Bearish regime
4. Use the metrics dashboard for detailed analysis
Settings Guide:
- Length: Short-term SMA period (default: 50)
- Source: Price calculation source (default: close)
- Regime Filter Length: Long-term SMA period (default: 200)
- Regime Filter Source: Price source for regime calculation (default: close)
Trading Tips:
- Use bullish regimes for long positions
- Use bearish regimes for capital preservation or short positions
- Consider regime duration for trend strength
- Monitor distance metrics for potential reversals
- Combine with other systems for confluence
#trend-following #moving average #regime #sma #momentum
Risk Management:
- Not a standalone trading system
- Should be used with proper position sizing
- Consider market conditions and volatility
- Always use stop losses
Best Practices:
- Monitor multiple timeframes
- Use with other confirmation tools
- Consider fundamental factors
Version: 1.0
Created by: iGREY.Trading
Release Notes
// v1.1 Allows table overlay customisation
// v1.2 Update to v6 pinescript
Adaptive Range Breakout (ARB) IndicatorTitle: Adaptive Range Breakout (ARB) Indicator – Enhanced Mean Reversion with Dynamic Support/Resistance
Overview: The Adaptive Range Breakout (ARB) Indicator is designed to help traders identify potential mean reversion and breakout opportunities by leveraging a dynamic range based on recent price action and volatility. This script combines key elements such as Volume Profile analysis, ATR-based volatility adjustments, and an EMA trend filter to create a robust and adaptive trading tool. It aims to capture both trend continuations and reversals while filtering out noise in choppy markets.
Justification for Combining Components:
HVN (High Volume Node):
The core of this indicator is built around a custom VWAP calculation over a defined lookback period, which serves as the HVN line (High Volume Node). The HVN represents a volume-weighted average price, highlighting key levels where significant trading activity has occurred. These levels often act as areas of support or resistance, providing a reliable reference point for traders.
ATR-Based Dynamic Support and Resistance:
The Average True Range (ATR) is used to adjust the adaptive support and resistance levels around the HVN line. This ensures that the levels dynamically respond to changes in market volatility. The use of ATR helps filter out insignificant price movements and focuses on significant shifts in momentum, making the indicator adaptive to different market conditions.
EMA Trend Filter:
An Exponential Moving Average (EMA) is applied as a trend filter to distinguish between trending and range-bound market conditions. This filter helps in identifying whether the price movement is in line with the overall trend or if a potential reversal is more likely. By using the EMA crossover signals, the indicator can provide additional confirmation before generating buy or sell signals.
Adaptive Breakout and Mean Reversion Signals:
The indicator generates buy and sell signals based on the interaction between the price and the adaptive support/resistance levels. It incorporates a volatility filter to ensure that signals are only triggered when the market is sufficiently volatile, reducing the likelihood of false signals during low-volatility periods. Additionally, a cooldown period is implemented to prevent consecutive signals in quick succession, enhancing signal reliability.
Key Features:
Dynamic Range Levels: The adaptive support and resistance levels adjust based on recent price action and volatility, providing reliable areas for potential reversals or breakouts.
Volume-Weighted Analysis: The HVN line, derived from a custom VWAP calculation, highlights key price levels with significant trading activity, helping identify zones of support/resistance.
Trend Confirmation: The EMA trend filter helps differentiate between trend-following and mean-reversion signals, providing context for the generated buy and sell signals.
Volatility Filtering: The indicator uses ATR to gauge market volatility, ensuring signals are only generated during active market conditions.
Signal Cooldown: A customizable cooldown period reduces noise by spacing out signals, especially in choppy market environments.
Use Case:
The Adaptive Range Breakout (ARB) Indicator is suitable for traders looking to capitalize on both breakouts and mean-reversion opportunities. It is particularly useful in:
Range-Bound Markets: The adaptive support and resistance levels help capture reversals in range-bound conditions.
Trending Markets: The trend filter and breakout logic allow traders to follow momentum when the price breaks through key adaptive levels.
Intraday and Swing Trading: The dynamic nature of the indicator makes it applicable across different timeframes, catering to both intraday and swing traders.
Important Considerations:
This indicator does not guarantee future performance or provide an infallible prediction of price movements. It is a tool intended to support traders in their decision-making process based on historical price action and market conditions.
The effectiveness of the signals may vary depending on the asset, market conditions, and timeframe used. It is recommended to backtest the indicator and use it alongside other analysis techniques.
Always exercise caution and use appropriate risk management strategies when trading based on signals generated by this indicator.
Alerts: The indicator includes built-in alerts for:
Buy Signal Alert: Triggered when the price crosses above the adaptive support level, suggesting a potential reversal or continuation in an uptrend.
Sell Signal Alert: Triggered when the price crosses below the adaptive resistance level, indicating a potential reversal or continuation in a downtrend.
EMA Crossover Alerts: Alerts for EMA crossover signals, providing additional trend confirmation.
This script is a comprehensive tool designed to adapt to market conditions dynamically, combining multiple techniques to create a well-rounded approach to identifying trading opportunities. We encourage users to integrate it into their broader trading strategy and apply it with caution, understanding its strengths and limitations.
