Volume Based Volatility Trail [UAlgo]"Volume Based Volatility Trail ", is designed to identify potential trading opportunities based on volatility and volume analysis. It calculates the Average True Range (ATR) to gauge market volatility and uses a volume-based multiplier to dynamically adjust a trailing stop level. The indicator also incorporates volume analysis to identify high volume periods that might signal potential breakouts.
🔶 Key Features
Volume-Based Volatility Trail: The indicator calculates a trailing stop level based on the ATR, which is then adjusted based on volume. Higher volume periods can lead to a wider trailing stop to account for increased volatility.
Price Source: Users can select the price source (e.g., close, open) for volume calculations.
Customizable Inputs: Users can adjust various parameters like the ATR period, multiplier, smoothing period, volume SMA period, ATR adjustment factor, and colors for buy/sell signals and the trailing stop area.
Buy/Sell Alerts: The indicator generates alerts for potential buy and sell opportunities based on the trailing stop crossing the price.
🔶 Usage
Look for buy signals (▲ marker) when the price crosses above the trailing stop level, potentially indicating a bullish trend.
Conversely, sell signals (▼ marker) appear when the price falls below the trailing stop, suggesting a bearish trend.
The shaded area around the trailing stop represents a buffer zone that might offer some protection against price fluctuations, but it can also indicate areas of potential pullbacks. During volatile periods or after strong price movements, the price might retrace back towards the trailing stop before continuing its trend. This shaded area can help visualize these potential retracement zones.
High volume periods (highlighted by the indicator) can be used in conjunction with other technical analysis to confirm potential breakouts. Analyze these high volume periods alongside price action and other indicators to assess the strength of the breakout and the likelihood of the price continuing its upward move.
🔶 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.
ATR
Custom ATR Trailing StopThis Script creates a custom ATR (Average True Range) trailing stop. It allows traders to set up automated stop-loss levels based on the ATR, which adjusts dynamically to market volatility. The script is designed to support both long and short trades, offering flexibility and precision in trade management.
When loading the indicator to your chart, simply click to set the trade begining time, confirm various settings and you are set.
Check tooltips for more details in the input settigns menu.
User Inputs
Trade Setup: Allows users to set the trade direction (Long or Short), the signal source for entries, and the specific bar time for the trade setup.
ATR Settings: Configurable ATR lookback period, ATR smoothing period, initial ATR multiplier for setting the stop-loss, breakeven ATR multiplier, and a manual breakeven level.
ATR Calculations
Computes the ATR and its moving average.
Determines initial and breakeven stop levels based on the ATR.
Signal Validation
Validates long or short trade signals based on the specified bar time and trade direction.
Triggers alerts when a valid trade signal is detected.
Trailing Stop Logic
For long trades, adjusts the stop-loss level dynamically based on the ATR.
For short trades, performs similar adjustments in the opposite direction.
Updates the trailing stop level to ensure it follows the price, moving closer as the price moves favorably.
Resets the trade state when the stop-loss is hit, triggering an alert.
Plotting
Plots the trailing stop levels on the chart.
Uses green for stop levels indicating profit and red for stop levels indicating a loss.
Fair Value Gap (FVG) Oscillator [UAlgo]The "Fair Value Gap (FVG) Oscillator " is designed to identify and visualize Fair Value Gaps (FVG) within a given lookback period on a trading chart. This indicator helps traders by highlighting areas where price gaps may signify potential trading opportunities, specifically bullish and bearish patterns. By leveraging volume and Average True Range (ATR) data, the FVG Oscillator aims to enhance the accuracy of pattern recognition and provide more reliable signals for trading decisions.
🔶 Identification of Fair Value Gap (FVG)
Fair Value Gaps (FVG) are specific price areas where gaps occur, and they are often considered significant in technical analysis. These gaps can indicate potential future price movements as the market may return to fill these gaps. This indicator identifies two types of FVGs:
Bullish FVG: Occurs when the current low price is higher than the high price two periods ago. This condition suggests a potential upward price movement.
Obtains with:
low > high
Bearish FVG: Occurs when the current high price is lower than the low price two periods ago. This condition suggests a potential downward price movement.
Obtains with:
high < low
The FVG Oscillator not only identifies these gaps but also verifies them using volume and ATR conditions to ensure more reliable trading signals.
🔶 Key Features
Lookback Period: Users can set the lookback period to determine how far back the indicator should search for FVG patterns.
ATR Multiplier: The ATR Multiplier is used to adjust the sensitivity of the ATR-based conditions for verifying FVG patterns.
Volume SMA Period: This setting determines the period for the Simple Moving Average (SMA) of the volume, which helps in identifying high volume conditions.
Why ATR and Volume are Used?
ATR (Average True Range) and volume are integrated into the Fair Value Gap (FVG) Oscillator to enhance the accuracy and reliability of the identified patterns. ATR measures market volatility, helping to filter out insignificant price gaps and focus on impactful ones, ensuring that the signals are relevant and strong. Volume, on the other hand, confirms the strength of price movements. High volume often indicates the sustainability of these movements, reducing the likelihood of false signals. Together, ATR and volume ensure that the detected FVGs are both significant and supported by market activity, providing more trustworthy trading signals.
Normalized Values: The FVG counts are normalized to enhance the visual representation and interpretation of the patterns on the chart.
Visual Customization and Plotting: Users can customize the colors for positive (bullish) and negative (bearish) areas, and choose whether to display these areas on the chart, also plots the bullish and bearish FVG counts, a zero line, and the net value of FVG counts. Additionally, it uses histograms to display the width of verified bullish and bearish patterns.
🔶 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.
Filtered MACD with Backtest [UAlgo]The "Filtered MACD with Backtest " indicator is an advanced trading tool designed for the TradingView platform. It combines the Moving Average Convergence Divergence (MACD) with additional filters such as Moving Average (MA) and Average Directional Index (ADX) to enhance trading signals. This indicator aims to provide more reliable entry and exit points by filtering out noise and confirming trends. Additionally, it includes a comprehensive backtesting module to simulate trading strategies and assess their performance based on historical data. The visual backtest module allows traders to see potential trades directly on the chart, making it easier to evaluate the effectiveness of the strategy.
🔶 Customizable Parameters :
Price Source Selection: Users can choose their preferred price source for calculations, providing flexibility in analysis.
Filter Parameters:
MA Filter: Option to use a Moving Average filter with types such as EMA, SMA, WMA, RMA, and VWMA, and a customizable length.
ADX Filter: Option to use an ADX filter with adjustable length and threshold to determine trend strength.
MACD Parameters: Customizable fast length, slow length, and signal smoothing for the MACD indicator.
Backtest Module:
Entry Type: Supports "Buy and Sell", "Buy", and "Sell" strategies.
Stop Loss Types: Choose from ATR-based, fixed point, or X bar high/low stop loss methods.
Reward to Risk Ratio: Set the desired take profit level relative to the stop loss.
Backtest Visuals: Display entry, stop loss, and take profit levels directly on the chart with
colored backgrounds.
Alerts: Configurable alerts for buy and sell signals.
🔶 Filtered MACD : Understanding How Filters Work with ADX and MA
ADX Filter:
The Average Directional Index (ADX) measures the strength of a trend. The script calculates ADX using the user-defined length and applies a threshold value.
Trading Signals with ADX Filter:
Buy Signal: A regular MACD buy signal (crossover of MACD line above the signal line) is only considered valid if the ADX is above the set threshold. This suggests a stronger uptrend to potentially capitalize on.
Sell Signal: Conversely, a regular MACD sell signal (crossunder of MACD line below the signal line) is only considered valid if the ADX is above the threshold, indicating a stronger downtrend for potential shorting opportunities.
Benefits: The ADX filter helps avoid whipsaws or false signals that might occur during choppy market conditions with weak trends.
MA Filter:
You can choose from various Moving Average (MA) types (EMA, SMA, WMA, RMA, VWMA) for the filter. The script calculates the chosen MA based on the user-defined length.
Trading Signals with MA Filter:
Buy Signal: A regular MACD buy signal is only considered valid if the closing price is above the MA value. This suggests a potential uptrend confirmed by the price action staying above the moving average.
Sell Signal: Conversely, a regular MACD sell signal is only considered valid if the closing price is below the MA value. This suggests a potential downtrend confirmed by the price action staying below the moving average.
Benefits: The MA filter helps identify potential trend continuation opportunities by ensuring the price aligns with the chosen moving average direction.
Combining Filters:
You can choose to use either the ADX filter, the MA filter, or both depending on your strategy preference. Using both filters adds an extra layer of confirmation for your signals.
🔶 Backtesting Module
The backtesting module in this script allows you to visually assess how the filtered MACD strategy would have performed on historical data. Here's a deeper dive into its features:
Backtesting Type: You can choose to backtest for buy signals only, sell signals only, or both. This allows you to analyze the strategy's effectiveness in different market conditions.
Stop-Loss Types: You can define how stop-loss orders are placed:
ATR (Average True Range): This uses a volatility measure (ATR) multiplied by a user-defined factor to set the stop-loss level.
Fixed Point: This allows you to specify a fixed dollar amount or percentage value as the stop-loss.
X bar High/Low: This sets the stop-loss at a certain number of bars (defined by the user) above/below the bar's high (for long positions) or low (for short positions).
Reward-to-Risk Ratio: Define the desired ratio between your potential profit and potential loss on each trade. The backtesting module will calculate take-profit levels based on this ratio and the stop-loss placement.
🔶 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.
ATR GerchikAverage True Range ( ATR ) is a technical analysis indicator that measures market volatility. It is a moving average of the true range over a period of time. Originally developed by a market technician J. Welles Wilder Jr. in the 1970s, ATR was utilized to measure the average volatility of an asset over a given time period. Wilder realized that measuring volatility using only closing prices would not yield accurate results, necessitating a more complex system. To calculate the Average True Range, one must first determine the True Range (TR).
ATR calculation procedure:
1. Determine the true maximum - this is the highest of the current maximum and yesterday's closing price of the day.
2. Determine the true minimum - this is the smallest of the current minimum and yesterday's closing price.
3. Determine the true range - this is the distance between the true maximum and minimum.
4. Exclude extremely large candles and extremely small ones from the obtained true ranges.
5. Calculate the average for the selected period based on the remaining range.
6. Calculate the percentage of the current True Range relative to the average ATR value for the previous period.
Description:
If you analyze market movements, you will find that 75-80% of the time, an instrument moves only 1 ATR per day. Understanding this is crucial; for example, if an instrument has already moved 80% of its daily range, it is not advisable to enter a new position. This concept is similar to a car's fuel tank; if the tank is nearly empty, the car won’t go far. Many indicators include anomalous candles in their ATR calculations, which can yield unreliable results and lead to incorrect decisions. This is why many traders prefer to calculate ATR manually.
However, the Gerchik ATR indicator accounts for anomalous candles by filtering out extremely large and small candles. Users can set the coefficient for the upper and lower filtering thresholds. Experiment with these settings to find your criteria for filtering out abnormal candles. Personally, I filter out candles larger than 2x ATR and smaller than 0.5x ATR. Additionally, this indicator displays the consumed “fuel” of the instrument for the entire day and the current percentages, so you don’t have to calculate the distance traveled manually. The indicator also visually displays the boundaries of the average true range on the chart, enabling quick and informed decisions. When building any strategy, relying on the average true range movement is essential.
This extended version of the indicator includes a NATP indicator (Normalized ATR), a variation of the ATR that measures volatility as a percentage of the current price. It helps gauge market volatility levels and assists traders in making informed decisions.
Procedure for calculating NATR (Normalized ATR):
1. Determine the true maximum - the higher of the current high and the previous close.
2. Determine the true minimum - the lower of the current low and the previous close.
3. Determine the true range - the distance between the true maximum and minimum.
4. Filter out extremely large and small values from the obtained true ranges.
5. Calculate the average for n candles based on the remaining ranges.
Additionally in this version:
- Change table position
- Added NATP indicator
- Option to turn off the table description
- Option to turn off some indicators in the table
- Indication of the selected period in the table
- Changing coefficients for filtering abnormal candles
- Display of the number of invalid candles in the selected period
- Inclusion of labels with full ATR, NATR, candle range, and validity information
- Color-coding labels based on validity
- Selection of colors for valid and invalid candles
- Adjustable label size
- ATR graph display on the chart
- Customizable graph style, line thickness, and fill color
Detailed description:
Displays colored labels with detailed information. Labels can be color-coded based on validity and selected color. The text color will automatically adjust if a lighter color is chosen.
Panel of available settings
Graphic styles:
Line ATR graph style
Cross line ATR graph style
Step line ATR graph style
Step line diamond ATR graph style
Cross ATR graph style
Columns ATR graph style
Circles ATR graph style
Area ATR graph style
Cross area ATR graph style
Key Features:
- Anomalous Candle Filtering: Excludes extremely large and small candles for more reliable ATR values. Set filtering thresholds independently as coefficients.
- Consumed Fuel Indicator: Shows the percentage of the ATR consumed, aiding quick assessment of remaining movement potential.
- Daily Timeframe Focus: Designed for daily charts for accurate long-term analysis. The indicator is displayed on the daily timeframe if enabled, hiding it on lower timeframes.
- Visual Indicator Boundaries: Displays indicator boundaries on the chart with customizable styles and settings.
Practical Applications:
ATR helps traders predict potential future price movements, aiding in setting Stop Loss and Take Profit targets. Using ATR for SL/TP placement helps avoid market noise. ATR can also form an exit strategy by placing Trailing Stop Losses.
- Entry and Exit Points: Determine optimal entry and exit points by assessing market volatility and potential price movement.
- Stop-Loss Placement: Calculate stop-loss levels based on ATR to ensure appropriate placement, accounting for current market volatility.
- Trend Confirmation: Use ATR percentage consumption to confirm trend strength and decide on trade entries or exits.
Examples of Use:
- Trend Following: During strong trends, ATR identifies increased volatility periods, signaling potential breakouts or reversals.
- Range Trading: In ranging markets, ATR highlights low volatility periods, indicating consolidation and potential breakout zones.
RSI Trail [UAlgo]The RSI Trail indicator is a technical analysis tool designed to assist traders in making informed decisions by utilizing the Relative Strength Index (RSI) and various moving average calculations. This indicator dynamically plots support and resistance levels based on RSI values, providing visual cues for potential bullish and bearish signals. The inclusion of a trailing stop mechanism allows traders to adapt to market volatility, ensuring optimal entry and exit points.
🔶 Key Features
Multiple Moving Average Types: Choose from Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), Running Moving Average (RMA), and McGinley Dynamic for diverse analytical approaches.
Configurable RSI Bounds: Tailor the RSI lower and upper bounds to your specific trading preferences, with default settings at 40 and 60.
Signals: The indicator determines bullish and bearish market states and plots corresponding signals on the chart.
Customizable Visualization: Options to display the midline and color candles based on market state enhance visual analysis.
Alerts: Integrated alert conditions notify you of bullish and bearish signals.
🔶 Calculations
The RSI Trail indicator calculates dynamic support and resistance levels using a combination of moving averages and the Relative Strength Index (RSI). It starts by computing a chosen moving average (SMA, EMA, WMA, RMA, or McGinley) over a period of 27 using the typical price (ohlc4).
The indicator then defines upper and lower bounds based on customizable RSI levels (default 40 and 60) and adjusts these bounds using the Average True Range (ATR) to account for market volatility. The upper bound is calculated by adding a volatility-adjusted value to the moving average, while the lower bound is found by subtracting this value. Bullish signals occur when the price crosses above the upper bound, and bearish signals when it falls below the lower bound.
The RSI Trail indicator also can be used to identify pullback opportunities. When the price high/low crosses above/below the calculated upper/lower bound, it indicates a potential pullback, suggesting a favorable point to enter a trade during a pullback.
🔶 Disclaimer
This indicator is for informational purposes only and should not be considered financial advice.
Always conduct your own research and due diligence before making any trading decisions. Past performance is not necessarily indicative of future results.
ATR Gerchik LightAverage True Range ( ATR ) is a technical analysis indicator that measures volatility in the market. ATR is a moving average of the true range over a period of time.
ATR calculation procedure:
1. Determine the true maximum - this is the highest of the current maximum and yesterday's closing price of the day.
2. Determine the true minimum - this is the smallest of the current minimum and yesterday's closing price.
3. Determine the true range - this is the distance between the true maximum and minimum.
4. We exclude extremely large candles (> x2 ATR) and extremely small ones (< 0.5 ATR) from the obtained true ranges.
5. We calculate the average for the selected period based on the remaining range.
6. We calculate the percentage of the current True Range relative to the average ATR value for the previous period.
Description:
If you analyze it yourself, you will see that 75-80% of the time, the instrument moves only 1 ATR per day. You must understand that if an instrument has, for example, moved 80% of its daily range, it is not advisable to purchase it. This is comparable to a car's fuel tank: if the tank is almost empty, the car won't go far. Most indicators that calculate ATR include anomalous candles, which give unreliable results and lead to incorrect decisions. Because of this, many traders prefer to calculate ATR on their own.
However, the Gerchik ATR indicator accounts for anomalous candles and filters out extremely large candles (> 2x ATR) and extremely small ones (< 0.5x ATR). Additionally, this indicator immediately shows the consumed “fuel” of the instrument as a percentage, so you don't have to calculate the distance traveled yourself. This allows you to make quick, informed decisions. If we see that the tank is almost empty, it is logical not to get into that car today. When building any strategy, you must rely on the average movement.
Key Features:
Anomalous Candle Filtering: Excludes extremely large and small candles to provide more reliable ATR values.
Consumed Fuel Indicator: Shows the percentage of the ATR consumed, helping traders quickly assess the remaining potential movement.
Daily Timeframe Focus: Designed specifically for use on daily charts for accurate long-term analysis.
Practical Applications:
Entry and Exit Points: Use the ATR to determine optimal entry and exit points by assessing market volatility and potential price movement.
Stop-Loss Placement: Calculate stop-loss levels based on ATR to ensure they are placed at appropriate distances, accounting for current market volatility.
Trend Confirmation: Use the percentage of ATR consumed to confirm the strength of a trend and decide whether to enter or exit trades.
Examples of Use:
Trend Following: During strong trends, ATR helps identify periods of increased volatility, signaling potential breakouts or reversals.
Range Trading: In ranging markets, ATR can highlight periods of low volatility, indicating consolidation and potential breakout zones.
Note: The indicator is displayed and works only on the daily timeframe!
The indicator was created according to the instructions, description of the functionality, and strategy of Mr. Gerchik. Thank you so much, Chief!
________________________
Average True Range ( ATR , средний истинный диапазон) – это индикатор технического анализа, который измеряет волатильность на рынке. ATR представляет собой скользящее среднее истинного диапазона за определенный период времени.
Порядок расчета ATR:
1. Определяем истинный максимум – это наивысшее из текущего максимума и вчерашней цены закрытия дня.
2. Определяем истинный минимум – это наименьшее из текущего минимума и вчерашней цены закрытия.
3. Определяем истинный диапазон – это расстояние между истинным максимумом и минимумом.
4. Исключаем из полученных истинных диапазонов экстремально большие свечи (> x2 ATR) и экстремально маленькие (< 0.5 ATR).
5. Рассчитываем среднее за выбранный период исходя из оставшегося диапазона.
6 . Рассчитываем процент текущего истинного диапазона (True Range) относительно среднего значения ATR за предыдущий период.
Описание:
Если вы сами проанализируете, то увидите, что 75-80% времени инструмент ходит только 1 ATR. И вы должны понимать, что если инструмент внутри дня прошел, к примеру, 80% своего движения, то этот инструмент больше нельзя покупать. Это можно сравнить с баком машины: если бак почти пустой, машина далеко не уедет. Большинство индикаторов, которые рассчитывают ATR, производят расчет с паранормальными свечами. Это дает недостоверный результат и приводит к неверным решениям. Многие трейдеры из-за этого не используют готовые индикаторы и предпочитают считать ATR самостоятельно. Но индикатор ATR Gerchik учитывает паранормальные свечи и фильтрует экстремально большие свечи (> x2 ATR) и экстремально маленькие (< 0.5 ATR). Также этот индикатор сразу показывает израсходованный "бензин" инструмента в процентах. И вам не надо самостоятельно высчитывать пройденный путь. Вы можете быстро принимать правильные решения. Если мы видим, что бак почти пустой, логично не садиться в эту машину сегодня. Когда вы строите какую-то стратегию, вы должны обязательно полагаться на среднестатистическое движение.
Существует много стратегий, завязанных на ATR, которые учитывают волатильность инструмента, запас хода, точки разворота, места выставления стоп-лоссов (SL) и тейк-профитов (TP) и другие факторы. Я не буду останавливаться на них, так как каждый может найти описание этих стратегий и использовать их на свой выбор.
Индикатор отображается и работает только на дневном таймфрейме!
Индикатор создан по наставлениям, описанию функционала и стратегии господина Герчика. Огромное спасибо, Шеф!
Performance IndicatorsDescription:
The Performance Indicators tool provides traders with a comprehensive overview of both fundamental and technical performance metrics of a security. This dual approach helps traders make informed decisions by evaluating the security's intrinsic value as well as its market behavior.
Fundamental Performance Indicators:
EPS Year Over Year % Growth : Measures the percentage growth in earnings per share (EPS) compared to the same quarter in the previous year. This helps in understanding the company's profitability trends.
EPS 3 Quarters Year Over Year % Growth : Analyzes the percentage growth in EPS over the last three quarters compared to the same quarters in the previous year, providing insight into the company's recent earnings performance.
Sales Year Over Year % Growth : Tracks the percentage growth in sales compared to the same quarter in the previous year, offering a view of the company's revenue trends.
Sales 3 Quarters Year Over Year % Growth : Evaluates the percentage growth in sales over the last three quarters compared to the same quarters in the previous year, helping to assess the company's recent revenue performance.
Return On Equity (ROE) : Measures the company's profitability by comparing net income to shareholder equity. This indicates how effectively the company is using its equity base to generate profits.
Market Capitalization : Represents the total market value of the company's outstanding shares, providing a sense of the company's size and market presence.
Float Shares Outstanding : Refers to the number of shares available for trading by the public, excluding restricted shares. This metric helps in understanding the liquidity and volatility of the stock.
Technical Performance Indicators:
Average Daily Range (ADR) %: Calculates the average range between the high and low prices over a specific period, expressed as a percentage. This helps in understanding the stock's daily volatility.
Average True Range (ATR) $ : Measures market volatility by calculating the average range between the high and low prices, taking into account any gaps in the price. It is expressed in dollar terms.
% Off 52-Week High : Indicates how far the current price is from the highest price achieved over the last 52 weeks, helping to assess the stock's current performance relative to its yearly peak.
Relative Price Strength (RPS) : Compares the stock's price performance to a benchmark index, helping to identify how the stock is performing relative to the broader market.
How it Works:
The fundamental performance indicators provide insights into the company's financial health and growth trends by analyzing key metrics such as EPS, sales growth, ROE, market capitalization, and float shares outstanding.
The technical performance indicators offer a view of the stock's market behavior and volatility through metrics like ADR, ATR, % off 52-week high, and RPS.
By combining these fundamental and technical metrics, traders can gain a well-rounded perspective on the security's overall performance.
How to Use:
Add the Performance Indicators tool to your chart.
Evaluate the fundamental indicators to assess the company's financial health and growth trends.
Analyze the technical indicators to understand the stock's market behavior and volatility.
Use the combined insights from both fundamental and technical indicators to make informed trading decisions.
This tool is particularly useful for traders who want to integrate both fundamental analysis and technical analysis into their trading strategy, providing a holistic view of a security's performance.
Fractal Breakout Trend Following StrategyOverview
The Fractal Breakout Trend Following Strategy is a trend-following system which utilizes the Willams Fractals and Alligator to execute the long trades on the fractal's breakouts which have a high probability to be the new uptrend phase beginning. This system also uses the normalized Average True Range indicator to filter trades after a large moves, because it's more likely to see the trend continuation after a consolidation period. Strategy can execute only long trades.
Unique Features
Trend and volatility filtering system: Strategy uses Williams Alligator to filter the counter-trend fractals breakouts and normalized Average True Range to avoid the trades after large moves, when volatility is high
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Flexible Risk Management: Users can choose the stop-loss percent (by default = 3%) for trades, but strategy also has the dynamic stop-loss level using down fractals.
Methodology
The strategy places stop order at the last valid fractal breakout level. Validity of this fractal is defined by the Williams Alligator indicator. If at the moment of time when price breaking the last fractal price is higher than Alligator's teeth line (8 period SMA shifted 5 bars in the future) this is a valid breakout. Moreover strategy has the additional volatility filtering system using normalized ATR. It calculates the average normalized ATR for last user-defined number of bars and if this value lower than the user-defined threshold value the long trade is executed.
When trade is opened, script places the stop loss at the price higher of two levels: user defined stop-loss from the position entry price or down fractal validation level. The down fractal is valid with the rule, opposite as the up fractal validation. Price shall break to the downside the last down fractal below the Willians Alligator's teeth line.
Strategy has no fixed take profit. Exit level changes with the down fractal validation level. If price is in strong uptrend trade is going to be active until last down fractal is not valid. Strategy closes trade when price hits the down fractal validation level.
Risk Management
The strategy employs a combined approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined stop-loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 3% drop from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Williams Fractals to open long trade when price has broken the key resistance level to the upside. This resistance level is the last up fractal and is shall be broken above the Williams Alligator's teeth line to be qualified as the valid breakout according to this strategy. The Alligator filtering increases the probability to avoid the false breakouts against the current trend.
Moreover strategy has an additional filter using Average True Range(ATR) indicator. If average value of ATR for the last user-defined number of bars is lower than user-defined threshold strategy can open the long trade according to open trade condition above. The logic here is following: we want to open trades after period of price consolidation inside the range because before and after a big move price is more likely to be in sideways, but we need a trend move to have a profit.
Another one important feature is how the exit condition is defined. On the one hand, strategy has the user-defined stop-loss (3% below the entry price by default). It's made to give users the opportunity to restrict their losses according to their risk-tolerance. On the other hand, strategy utilizes the dynamic exit level which is defined by down fractal activation. If we assume the breaking up fractal is the beginning of the uptrend, breaking down fractal can be the start of downtrend phase. We don't want to be in long trade if there is a high probability of reversal to the downside. This approach helps to not keep open trade if trend is not developing and hold it if price continues going up.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.05.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -3.19%
Maximum Single Profit: +24.97%
Net Profit: +3036.90 USDT (+30.37%)
Total Trades: 83 (28.92% win rate)
Profit Factor: 1.953
Maximum Accumulated Loss: 963.98 USDT (-8.29%)
Average Profit per Trade: 36.59 USDT (+1.12%)
Average Trade Duration: 72 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h and higher time frames and the BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
ATR (Average True Range) mit relative/absolute Zahlen GERMAN:
Schnelle Zusammenfassung:
Dieses Skript basiert auf dem ATR-Indikator und wurde so angepasst, dass sowohl relative (%) als auch absolute Zahlen angezeigt werden. Es bietet eine Darstellung des ATR in absoluten und prozentualen Werten sowie multipliziert mit den Faktoren x2, x2.5 und x3. Diese Darstellung erleichtert die Festlegung von Stop-Kursen, insbesondere für Trailing Stops und Trailing Abstände.
Periode:
Die Periode ist einstellbar und definiert die Länge der Berechnung des ATR (Standardwert: 14).
Glättung: Es stehen verschiedene Methoden zur Auswahl, um die Daten zu glätten (RMA, SMA, EMA, WMA).
Berechnungen:
ATR (Absolute Zahl): Berechnung der durchschnittlichen wahren Reichweite (ATR) unter Verwendung der ausgewählten Glättungsmethode und Periode.
ATR (Prozentualer Wert): Berechnung des ATR als Prozentsatz des aktuellen Schlusskurses.
Multiplikation des ATR: Berechnung des ATR multipliziert mit den Faktoren 2, 2.5 und 3 zur Einschätzung verschiedener Handelsszenarien.
Darstellung:
Absoluter ATR-Wert: Darstellung der absoluten ATR-Werte in Blau.
Relative ATR-Werte (%): Darstellung der prozentualen ATR-Werte, ohne Linie in der Grafik (transparent).
Multiplizierte ATR-Werte (x2, x2.5, x3): Darstellung der multiplizierten ATR-Werte in den Farben Grün (x2), Orange (x2.5) und Lila (x3).
Textbeschriftungen: Für jeden absoluten ATR-Wert und seine Multiplikationen werden Textbeschriftungen links im Chart angezeigt.
Verwendung des Indikators:
Dieser Indikator unterstützt Trader und Analysten dabei, die durchschnittliche wahre Reichweite (ATR) eines Finanzinstruments zu verstehen und zu visualisieren. Die verschiedenen Multiplikationen des ATR ermöglichen es, potenzielle Preisbewegungen zu analysieren und Handelsstrategien zu entwickeln, die auf der Volatilität basieren.
Hinweis:
Dies ist meine persönliche Meinung und Einstellung. Dieses Skript stellt keine Bankberatung oder Anlageempfehlung dar. Die Nutzung erfolgt auf eigenes Risiko und Verantwortung des Nutzers.
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ENGLISH:
Quick Summary:
This script is based on the ATR (Average True Range) indicator and has been modified to display both relative (%) and absolute values. It provides a representation of ATR in absolute and percentage terms, as well as multiplied by factors x2, x2.5, and x3. This visualization aids in setting stop-loss levels, especially for trailing stops and trailing distances.
Period:
The period is adjustable and defines the length of the ATR calculation (default: 14).
Smoothing: Various methods are available to smooth the data (RMA, SMA, EMA, WMA).
Calculations:
ATR (Absolute Value): Computes the Average True Range using the selected smoothing method and period.
ATR (Percentage Value): Calculates the ATR as a percentage of the current closing price.
Multiplication of ATR: Computes the ATR multiplied by factors 2, 2.5, and 3 to assess different trading scenarios.
Visualization:
Absolute ATR Value: Displays the absolute ATR values in blue.
Relative ATR Values (%): Shows the ATR values as percentages, without lines in the chart (transparent).
Multiplied ATR Values (x2, x2.5, x3): Presents the multiplied ATR values in green (x2), orange (x2.5), and purple (x3).
Text Labels: Text labels are shown on the left side of the chart for each absolute ATR value and its multiples.
Use of the Indicator:
This indicator helps traders and analysts understand and visualize the Average True Range (ATR) of a financial instrument. The different multipliers of ATR allow for the analysis of potential price movements and the development of trading strategies based on volatility.
Disclaimer:
This represents my personal opinion and viewpoint. This script does not constitute bank advice or investment recommendations. Use it at your own risk and responsibility.
ACD Indicator [TradingFinder] M Fisher Pivots Methodology Signal🔵 Introduction
The book "The Logical Trader" begins with a comprehensive review of the ACD Methodology principles, which include identifying specific price points related to the opening range.
This method allows you to set reference points for trading and use points "A" and "C" for trade entry. You will also learn about the "Pivot Range" and how to combine them with the ACD method to maximize position size and minimize risk.
In this indicator, the strategy is implemented to make it easier to use.
🔵 How to Use
The "ACD" strategy can be applied to various markets such as stocks, commodities, or forex, providing buy and sell signals that allow you to set your price targets and stop losses.
This strategy is based on the assumption that the opening range of trades is statistically significant each day, meaning the initial market fluctuations influence the market until the end of the day.
The ACD trading strategy is known as a breakout strategy and performs best in volatile or strongly trending markets, such as crude oil and stocks.
Some of the rules for using the ACD strategy include the following :
Consider points A and C as reference points and continuously pay attention to these points during trades. These points serve as entry and exit points for trades.
Examine daily and multi-day pivot ranges to analyze market trends. If the price is above the pivots, the trend is upward, and if below the pivots, the trend is downward.
Trading with the ACD strategy in forex is possible using the ACD indicator. This indicator is a technical tool used to measure the balance between supply and demand in the market. By analyzing trading volume and price, this indicator helps traders identify trend strength and suitable entry and exit points.
To use the ACD indicator, consider the following :
Identifying strong trends: The ACD indicator can help you identify strong and stable trends in the market.
Determining entry and exit points: ACD provides buy and sell signals to enter or exit trades at the best possible time.
Bullish Setup :
When the "A up" line is broken, it is advisable to wait for some time to ensure that this is not a "Fake Breakout" and that the price stabilizes above this line.
After entering the trade, the best stop loss you can choose is below the "A down" line. However, it is recommended to test this in backtests to achieve the best results. The suitable reward-to-risk ratio for this strategy is 1, which should also be backtested.
Bearish Setup :
When the "A down" line is broken, it is advisable to wait for some time to ensure that this is not a "Fake Breakout" and that the price stabilizes below this line.
After entering the trade, the best stop loss you can choose is above the "A up" line. However, it is recommended to test this in backtests to achieve the best results. The suitable reward-to-risk ratio for this strategy is 1, which should also be backtested.
🔵 Setting
NDay Pivot Range Period : Using this entry you can specify the number of days to calculate NDay Pivot Range.
Show Daily Pivot Range : Set the Daily Pivot color and displayed or not.
Show NDay Pivot Range : Set the NDay Pivot color and displayed or not.
ATR Period Levels : Determining the period of the ATR indicator, which is used to determine the A and C levels.
Show Tokyo ACD Setup : Set the Tokyo ACD Setup color and displayed or not.
Tokyo Opening Range Time : The amount of time taken to determine the opening range. You can set this number between 5 and 60 minutes.
Tokyo Session : Market start and end time.
A Level Multiplier : The coefficient that is multiplied by ATR to determine the distance of line A up and A down.
C Level Multiplier : The coefficient that is multiplied by ATR to determine the distance of line C up and C down.
The same settings exist for the London and New York sessions.
ATR by Time [QuantVue]"ATR by Time" incorporates time-specific volatility patterns by calculating the Average True Range (ATR) over a customizable period and comparing it to historical ATR values
at specific times of the day.
The Average True Range (ATR) is a popular technical indicator that measures market volatility by decomposing the entire range of an asset price for that period.
By taking the ATR at certain times of the day and comparing it to the current bar's ATR, traders can gain several potential advantages:
Volatility Pattern Recognition: Different times of the trading day often exhibit different levels of volatility. For instance, markets might be more volatile at the open and close compared to midday. By tracking ATR at specific times, traders can recognize these patterns and better predict periods of high or low volatility.
Risk Management: Understanding volatility trends throughout the day helps in better risk management. During periods of high expected volatility (indicated by higher ATR compared to the historical average), traders can adjust their stop-loss levels and position sizes accordingly to protect their capital.
Trend Confirmation and Divergence: This indicator can help confirm trends or identify potential reversals. For example, if the current ATR consistently exceeds the average ATR at specific times, it may confirm a strong trend. Conversely, if the current ATR falls below the historical average, it could signal a potential slowdown or reversal.
This indicator will work on all markets on all time frames. User can customize ATR length as well as the lookback period.
This script utilizes TradingView's RelativeValue library and averageAtTime function, which is used to compare a current data point in a time interval to an average of data points with corresponding time offsets across historical periods. Its purpose is to assess the significance of a value by considering the historical context within past time intervals.
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
Trade Exit Calculator [MarketSignalsPro]█ OVERVIEW
This Pine Script calculates a Stop Loss and Take Profit order suggestion based on the Average True Range (ATR). This provides a market generated visual reference for the user to better gauge risk and profit potential for their trades. This is not a trade signal system, it is a tool best used in conjunction with an existing system.
█ FEATURES
Inputs:
stopLossMultiplier and takeProfitMultiplier : These are input parameters that allow the user to adjust the multiplier for calculating stop loss and take profit levels.
longIndicator : This input parameter determines whether the script is calculating levels for a long setup (buy) or a short setup (sell).
Variable Initialization:
Various variables are initialized to manage labels, lines, and calculated stop loss and take profit levels.
ATR (Average True Range) is calculated using a period of 14.
Calculation of Stop Loss and Take Profit:
Depending on the value of longIndicator stop loss and take profit levels are not calculated the same way.
For long setups, stop loss is calculated below the closing price and take profit above, while for short setups, it's the opposite.
The calculation involves multiplying the ATR value by the user-defined multipliers and adding or subtracting from the closing price accordingly.
Plotting Lines:
Lines representing the calculated stop loss, take profit, and entry price are plotted on the chart.
Displaying Labels:
Labels displaying the calculated stop loss, take profit, and entry price are shown on the chart alongside the respective lines.
Updating and Deleting Objects:
Existing lines and labels are updated or deleted to ensure only the most recent levels are displayed on the chart.
Final Output:
The script outputs visual representations of stop loss, take profit, and entry price levels on the chart, providing traders with guidance for risk management and profit-taking strategies based on the volatility of the market.
█ CONCLUSION
In summary, this Pine Script enhances trading strategies by calculating and illustrating stop loss and take profit levels based on the Average True Range indicator, offering traders a structured way to manage risk and profit potential.
█ THANKS
Special thanks to Cryptosnagger for taking the time to build this Pine Script and share it freely with the community.
Fourier Adjusted Average True Range [BackQuant]Fourier Adjusted Average True Range
1. Conceptual Foundation and Innovation
The FA-ATR leverages the principles of Fourier analysis to dissect market prices into their constituent cyclical components. By applying Fourier Transform to the price data, the FA-ATR captures the dominant cycles and trends which are often obscured in noisy market data. This integration allows the FA-ATR to adapt its readings based on underlying market dynamics, offering a refined view of volatility that is sensitive to both market direction and momentum.
2. Technical Composition and Calculation
The core of the FA-ATR involves calculating the traditional ATR, which measures market volatility by decomposing the entire range of price movements. The FA-ATR extends this by incorporating a Fourier Transform of price data to assess cyclical patterns over a user-defined period 'N'. This process synthesizes both the magnitude of price changes and their rhythmic occurrences, resulting in a more comprehensive volatility indicator.
Fourier Transform Application: The Fourier series is calculated using price data to identify the fundamental frequency of market movements. This frequency helps in adjusting the ATR to reflect more accurately the current market conditions.
Dynamic Adjustment: The ATR is then adjusted by the magnitude of the dominant cycle from the Fourier analysis, enhancing or reducing the ATR value based on the intensity and phase of market cycles.
3. Features and User Inputs
Customizability: Traders can modify the Fourier period, ATR period, and the multiplication factor to suit different trading styles and market environments.
Visualization : The FA-ATR can be plotted directly on the chart, providing a visual representation of volatility. Additionally, the option to paint candles according to the trend direction enhances the usability and interpretative ease of the indicator.
Confluence with Moving Averages: Optionally, a moving average of the FA-ATR can be displayed, serving as a confluence factor for confirming trends or potential reversals.
4. Practical Applications
The FA-ATR is particularly useful in markets characterized by periodic fluctuations or those that exhibit strong cyclical trends. Traders can utilize this indicator to:
Adjust Stop-Loss Orders: More accurately set stop-loss orders based on a volatility measure that accounts for cyclical market changes.
Trend Confirmation: Use the FA-ATR to confirm trend strength and sustainability, helping to avoid false signals often encountered in volatile markets.
Strategic Entry and Exit: The indicator's responsiveness to changing market dynamics makes it an excellent tool for planning entries and exits in a trend-following or a breakout trading strategy.
5. Advantages and Strategic Value
By integrating Fourier analysis, the FA-ATR provides a volatility measure that is both adaptive and anticipatory, giving traders a forward-looking tool that adjusts to changes before they become apparent through traditional indicators. This anticipatory feature makes it an invaluable asset for traders looking to gain an edge in fast-paced and rapidly changing market conditions.
6. Summary and Usage Tips
The Fourier Adjusted Average True Range is a cutting-edge development in technical analysis, offering traders an enhanced tool for assessing market volatility with increased accuracy and responsiveness. Its ability to adapt to the market's cyclical nature makes it particularly useful for those trading in highly volatile or cyclically influenced markets.
Traders are encouraged to integrate the FA-ATR into their trading systems as a supplementary tool to improve risk management and decision-making accuracy, thereby potentially increasing the effectiveness of their trading strategies.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Volatility ATR Support and Resistance Bands [Quantigenics]Volatility ATR Support and Resistance Bands
The “Volatility ATR Support and Resistance Bands” is a trend visualization tool that uses Average True Range (ATR) to create a dynamic channel around price action, adapting to changes in volatility and offering clear trend indicators. The band direction can indicate trend and the lines can indicate support and resistance levels.
The script works by calculating a series of moving averages from the highest and lowest prices, then applies an ATR-based multiplier to generate a set of bands. These bands expand and contract with the market’s volatility, providing a visual guide to the strength and potential direction of price movements.
How to Trade with Volatility ATR Band:
Identify Trend Direction: When the bands slope upwards, the market is trending upwards, which may be a good opportunity to consider a long position. When the bands slope downward, the market is trending downwards, which could be a sign to sell or short.
Volatility Awareness: The wider the bands, the higher the market volatility. Narrow bands suggest a quieter market, which might indicate consolidation or a potential breakout/breakdown.
Confirm Entries and Exits: Use the bands as dynamic support and resistance; entering trades as the price bounces off the bands and considering exits as it reaches the opposite side or breaches the bands.
Hope you enjoy this script!
Happy trading!
AminioLibraryLibrary "AminioLibrary"
: this is my personal library that is being used in different indicators and strategies
calculateMA(source, len, maType)
This fuction returns a moving average value based on the type
Parameters:
source (float) : Is the time series source to calculate average from
len (simple int) : The length of the moving average, this should be integer
maType (string) : The type of moving average, acceptable types are : SMA, HMA, EMA, RMA, WMA, VWMA
Returns: value of moving average
atr(source, len)
This fuction returns atr value for a given source
Parameters:
source (float) : Is the time series source to calculate atr from
len (simple int) : The length of the atr, this should be integer
Returns: value of atr from source
superTrend(source, factor, len)
This fuction returns value of super trend indicator and the trend direction as a tupple
Parameters:
source (float) : Is the time series source to calculate super trend from
factor (simple float) : The multiplication factor for upper and lower band calcualtion, this can be a float
len (simple int) : The length of the super trend, this should be integer
Returns: value of atr from source
halfTrend(am, chdev)
This fuction returns a hTrend type carrying different values for half trend indicator
Parameters:
am (int) : This is the amplitude used for calcucating the half trend, use integers
chdev (float) : This is the Channel Deviation value used for calculating upper and lower atr channel boundaries, you can use floats
Returns: hTrend data type
hTrend
Fields:
halfTrend (series__float)
trend (series__integer)
atrHigh (series__float)
atrLow (series__float)
arrowUp (series__float)
arrowDown (series__float)
ATR Stop Loss Zones [ziksfx]The indicator is a dynamic tool that helps traders identify potential stop-loss levels in trending markets. It calculates the Average True Range (ATR) and uses it to create upper and lower boxes around the closing price. These boxes visually represent potential stop-loss zones for long and short positions.
Originality and Usefulness:
This indicator stands out for its unique ability to dynamically adjust stop-loss zones based on market volatility using the ATR approach. This provides traders with a flexible and adaptable risk management tool that adapts to changing market conditions. By visually representing potential stop-loss levels, taking into account the inherent uncertainty of market movements, the indicator empowers traders to make informed decisions about placing stop loses ONLY in trend markets. This allows them to maximize profit potential while minimizing potential downside risk.
Functionality:
Calculates the ATR based on the closing price.
Creates upper and lower of box by adding and subtracting the ATR multiplied by a predefined multiplier (1.5) to the closing price, then generates dynamic boxes based on the upper and lower ATR values.
Indicator allows traders to choose to display boxes for long, short, or both positions simultaneously.
Enables customization of box colors to suit individual preferences and trading styles.
Can be used as a dynamic trailing stop-loss mechanism.
Long box: Enable or disable the display of box for long positions.
Short box: Enable or disable the display of box for short positions.
Color Long Box: Set the color of the box for long positions.
Color Short Box: Set the color of the box for short positions.
Disclaimer:
This information is for educational purposes only and should not be considered financial advice. Remember that trading involves risk, and you could lose money. Always do your own research and consult with a financial professional before making any investment decisions.
RSI and ATR Trend Reversal SL/TPQuick History:
I was frustrated with a standard fixed percent TP/SL as they often were not receptive to quick market rallies/reversals. I developed this TP/SL and eventually made it into a full fledge strategy and found it did well enough to publish. This strategy can be used as a standalone or tacked onto another strategy as a TP/SL. It does function as both with a single line. This strategy has been tested with TSLA , AAPL, NVDA, on the 15 minutes timeframe.
HOW IT WORKS:
Inputs:
Length: Simple enough, it determines the length of the RSI and ATR used.
Multiplier: This multiplies the RSI and ATR calculation, more on this later.
Delay to prevent Idealization: TradingView will use the open of the bar the strategy triggers on when calculating the backtest. This can produce unrealistic results depending on the source. If your source is open, set to 0, if anything else, set to 1.
Minimum Difference: This is essentially a traditional SL/TP, it is borderline unnecessary, but if the other parameters are wacky this can be used to ensure the SL/TP. It multiplies the source by the percent, so if it is set to 10, the SL/TP is initialized at src +- 10%.
Source input: Self Explanatory, be sure to update the Delay if you use open.
CALCULATION:
Parameters Initialization:
The strategy uses Heikinashi values for calculations, this is not toggleable in parameters, but can be easily changed by changing hclose to equal src.
FUNCTION INITIALIZATION:
highest_custom and lowest_custom do the same thing as ta.highest and ta.lowest, however the built in ta library does not allow for var int input, so I had to create my own functions to be used here. I actually developed these years ago and have used them in almost every strategy since. Feel especially free to use these in your own scripts.
The rsilev is where the magic happens.
SL/TP min/max are initially calculated to be used later.
Then we begin by establishing variables.
BullGuy is used to determine the length since the last crossup or crossdown, until one happens, it returns na, breaking the function. BearGuy is used in all the calculations, and is the same as BullGuy, unless BullGuy is na, where BearGuy counts up from 1 on each bar from 0.
We create our rsi and have to modify the second one to suit the function. In the case of the upper band, we mirror the lower one. So if the RSI is 80, we want it to be 20 on the upper band.
the upper band and lower band are calculated the exact same way, but mirrored. For the purpose of writing, I'm going to talk about the lower band. Assume everything is mirrored for the upper one. It finds the highest source since the last crossup or crossdown. It then multiplies from 1 / the RSI, this means that a rapid RSI increase will increase the band dramatically, so it is able to capture quick rally/reversals. We add this to the atr to source ratio, as the general volatility is a massive factor to be included. We then multiply this number by our chosen amount, and subtract it from the highest source, creating the band.
We do this same process but mirrored with both bands and compared it to the source. If the source is above the lower band, it suggests an uptrend, so the lower band is outputted, and vice versa for the upper one.
PLOTTING:
We also determine the line color in the same manner as we do the trend direction.
STRATEGY:
We then use the source again, and if it crosses up or down relative to the selected band, we enter a long or short respectively.
This may not be the most superb independent strategy, but it can be very useful as a TP/SL for your chosen entry conditions, especially in volatile markets or tickers.
Thank you for taking the time to read, and please enjoy.
UT Bot Stochastic RSIUT Bot Stochastic RSI is a powerful trading tool designed to help traders identify potential buy and sell signals in the market. This indicator combines the Stochastic and RSI (Relative Strength Index) oscillators, two of the most popular and effective technical analysis tools, to provide a comprehensive view of market conditions.
The Stochastic oscillator is a momentum indicator that compares a security's closing price to its price range over a given time period. The RSI, on the other hand, is a momentum oscillator that measures the speed and change of price movements. By combining these two indicators, the UT Bot Stochastic RSI can help traders identify overbought and oversold conditions, as well as potential trend reversals.
The UT Bot Stochastic RSI also includes an ATR (Average True Range) trailing stop, which can be used to set stop-loss levels and manage risk. This feature is particularly useful in volatile markets, where price movements can be large and unpredictable.
In addition to its powerful technical analysis tools, the UT Bot Stochastic RSI also includes a backtesting feature, allowing traders to test their strategies on historical data. This can help traders identify the most effective settings for the indicator and improve their trading performance.
Overall, the UT Bot Stochastic RSI is a versatile and effective tool for traders of all levels, providing valuable insights into market conditions and helping to improve trading decisions
LevelUp^ AlphaLevelUp Alpha is a collection of tools designed in collaboration with Brian Shannon, CMT, creator of the anchored VWAP (AVWAP) and the author of two best-selling books on technical analysis. This indicator is focused on tools and techniques that Brian uses in both his analysis and trading.
LevelUp Alpha Goals
One primary goal of LevelUp Alpha was to create an indicator with tools and visuals that mimic Brian's preferred chart layouts. For example, the default lengths/colors for AVWAP, 5-day moving average and vertical lines where moving averages begin, are all aligned with Brian's approach to technical analysis. Through this educational process, one can learn how to effectively use AVWAP and other intraday tools to properly manage trades and adhere to sound risk management principles. At any point, the indicator can be customized to match one's preferred layout, colors and trading style.
Trend Alignment - Multiple Timeframe Analysis
As trend followers, we look for stocks in an established uptrend. This starts with reviewing stocks on weekly and/or daily charts. From there, we focus on lower timeframes using intraday charts, with the objective to verify alignment between the timeframes.
Important Note: The majority of tools in LevelUp Alpha are for lower timeframes (intraday) analysis as this is where potential trade setups, entries and exits (stops) are often determined.
Key Features:
▪ AVWAP auto-anchored on 1-day, 2-day, week-to-date and month-to-date (for intraday charts).
▪ AVWAP works with any exchange around the globe, respecting trading days, hours and holidays.
▪ AVWAP works with the TradingView Replay feature, facilitating historical and post-mortem analysis.
▪ 5-day moving average auto-calculated based on the chart timeframe.
▪ 5-day moving average auto-adjusts the minutes in the trading day for crypto and futures.
▪ View up to three daily moving averages on intraday charts, including optional price data.
▪ Anticipate moving average direction based on vertical lines placed at the first bar for each moving average.
▪ Pivot points, aka floor trader pivots or support/resistance levels (R1/S1, R2/S2, etc).
▪ Highlight current and prior day highs/lows with line and price data as these are areas of potential support and resistance.
▪ Table of stats for AVWAP, current and prior day highs/lows, and pivot point price levels, helpful for entries, exits and stops.
▪ Custom alerts for all AVWAPs and pivot points.
AVWAP
The Volume Weighted Average Price (VWAP) is the cumulative average price a stock traded for one day. AVWAP is the same as the VWAP with the exception that the start point (the anchor) is configurable based on a trader's preference, not simply the start of the trading day. From the anchor point forward, on each bar, AVWAP is calculated based on the cumulative volume and average price.
The AVWAP shows the relationship between price and volume over any time period based on the anchor point. At a glance we can see who is in control, the buyers (bulls) or the sellers (bears).
AVWAP Concepts:
▪ When a stock is above an advancing AVWAP, buyers are in control for that timeframe, as the average price is increasing.
▪ When prices are below a declining AVWAP, sellers are in control for that timeframe, as the average price is declining.
▪ When prices oscillate above and below the AVWAP it indicates indecision for that timeframe.
What's unique about AVWAP in this indicator is that it is auto-anchored on 1-day, 2-day, week-to-date and month-to-date. In addition, LevelUp Alpha supports any exchange around the globe, respecting trading days, hours and holidays. You can also use the TradingView replay feature with this indicator, a powerful tool for historical and post-mortem analysis.
AVWAP Auto-Anchor: 1-day, 2-day, week-to-date and month-to-date
AVWAP and TradingView Replay: Review Historical Data and Past Trades
Saudi Exchange (Tadāwul): Trading Days, Sunday to Thursday, 10:00am to 3:00pm
Auto-Anchor: Detects Trading Days
London Stock Exchange (LSE): Trading Days, Monday to Friday, 8:00am to 4:30pm
Auto-Anchor: Detects U.K. Bank Holiday
5-Day Moving Average
When using AVWAP, we look for stocks where the trend of the 50-SMA is higher. We follow this by reviewing lower timeframes (intraday charts) to see if the price action is setting up for a low risk trade by verifying the shorter timeframes align with the longer. As we look at various timeframes, we need to make sure the moving average is consistent across the timeframes, which is done via the 5-day moving average as explained by Brian:
"If you want to see a five DAY moving average on a chart with 10 minute candles, you have to consider how many 10 minute periods of trading there are in the trading day. The US equities markets are open from 9:30- 4:00 each day, which is 6.5 hours per trading day. In each hour of trading, there are 6-10 minute periods, so during the regular session for equities, the market is open for 390 minutes or 39-10 minute periods per day. If we are to get a five day moving average, we would take the 39-10 minute periods the market is open each day and then multiply that by five days. 39 x 5 = 195. So a 5 DAY moving average is represented by a 195 PERIOD moving average when looking at a 10 minute timeframe."
In LevelUp Alpha, the default value for the minutes per day is 390, the number of minutes in one trading day in the U.S. This value can be changed to match any exchange. For example, if trading the India National Stock Exchange (NSE), which is open from 9:30am to 3:30pm, the minutes per day would be set to 375.
As trend followers, our goal is to find stocks where the 5-day moving average is trending up.
5-Day Moving Average Trending Up
When viewing charts of crypto or futures, the minutes per trading day will be auto-adjusted as follows:
• Crypto: 1440 minutes per day based on 24 hrs per day.
• Futures: 1380 minutes per day based on 23 hrs per day - S&P 500 E-mini Futures (ES1!) & NASDAQ 100 E-mini Futures (NS1!)
Important Note: Based on the math as described above using the minutes in the trading day, there will be chart timeframes where the 5-day moving average is not shown. If you have the 5-day moving average enabled from within the indicator Settings, yet the 5-day line is not visible, try changing to another timeframe.
Moving Averages
There are three configurable daily moving averages, including the option to use simple or exponential calculations. These daily moving averages can be viewed on intraday charts as they can often act as areas of support or resistance. There is also an option to smooth the daily moving average when they are shown on an intraday chart.
Daily 10-SMA on Intraday Chart - Acting as Support
Auto-smoothing feature is off.
Daily 20-SMA on Intraday Chart - Acting as Support
Auto-smoothing feature is on.
Vertical Lines - Anticipating Direction
By placing vertical lines at the starting bar where a moving average calculation begins, one can anticipate the direction of the moving average by viewing the trend of the bars that will fall off the moving average as new bars are added. This can be helpful to gauge if the trend will continue in its current trajectory or begin to move in a different direction.
Intraday Chart
Daily Chart
S&P 500 E-mini Futures (ES1!)
Crypto
Pivot Points
Pivot points are intraday price levels that may act as areas of support or resistance. These pivot points were initially created by floor traders operating within the trading pits of the equity futures exchange in Chicago.
The calculations for determining these pivots are based on the prior days high, low and close:
Pivot (P) = (prevHigh + prevLow + prevClose) / 3
Resistance R1 = (2 * P) - prevLow
Support S1 = (2 * P) - prevHigh
Resistance R2 = P + (prevHigh - prevLow)
Support S2 = P - (prevHigh - prevLow)
Resistance R3 = prevHigh + (2 * (pivot - prevLow))
Support S3 = prevLow - (2 * (prevHigh - pivot))
R1 Acting as Resistance
S2 Acting as Support
Prior Day High and Low
With LevelUp Alpha you can show horizontal lines at both the prior day high and low values. This makes it easy to visualize the prior day's trading range in anticipation of potential areas of support or resistance. These area can also be potential points for entering, exiting or profit taking.
Current Day High and Low
In a similar manner to prior day high and low values, you can also view the current day high and low. Notice in the chart below that you can easily see inside days and watch the price action in real-time.
Tables for AVWAP and Pivot Stats
To make it easy to quickly determine potential entries, exits and stops, as well as areas of support or resistance, key values can be shown in a table. The table contents are configurable, with options to include: AVWAP, current day and prior day highs/lows as well as pivot points.
AVWAP Color Coded & Pivot Points
Current Day High/Low and Prior Day High Low
Custom Alerts
There are alert options for all AVWAP values as well as resistance levels R1, R2 and support levels S1 and S2.
Acknowledgements
Many thanks to Brian Shannon for sharing his expertise on technical analysis and risk management, as well as providing feedback and suggestions on the indicator.
Range Finder [UAlgo]🔶 Description:
The "Range Finder " indicator aims at identifying and visualizing price ranges within a specified number of candles. By utilizing the Average True Range (ATR) indicator and Simple Moving Average (SMA), it detects potential breakout conditions and tracks consecutive candles that remain within the breakout range. This indicator offers flexibility by allowing users to customize settings such as range length, method for determining range breaks (based on either candle close or wick), and visualization options for displaying range breaks on the chart.
🔶 Key Features
Identifying Ranges: The Range Finder automatically adapts to the market by continuously evaluating the Average True Range (ATR) and its Simple Moving Average (SMA). This helps in dynamically adjusting the range based on market volatility.
Range Length: Users can specify the number of candles to be used for constructing the range via the "Range Length" input setting. This allows for customization based on trading strategies and preferences.
Range Break Method: The indicator offers the flexibility to choose between two methods for identifying range breaks. Users can select between "Close" or "Wick" based on their preference for using the closing price or the highs and lows (including wicks) of candles for defining the breakout.
Show Range Breaks: This option enables visual representation of range breaks on the chart. When activated, labels with the letter "B" will appear at the breakout point, colored according to the breakout direction (upward breakouts in the chosen up range color and downward breakouts in the chosen down range color).
Range Color Customization: The indicator provides the ability to personalize the visual appearance of the range by selecting preferred colors for ranges indicating potential upward and downward breakouts.
🔶 Disclaimer
It's important to understand that the Range Finder indicator is intended for informational purposes only and should not be solely relied upon for making trading decisions. Trading financial instruments involves inherent risks, and past performance is not necessarily indicative of future results.
Trend: SMA with ATR Bands and EMA [Oxyge]Brief introduction:
Easy to use trend indicator to help find entry positions
How it works:
1, short-term trend judgment: EMA is greatly influenced by short-term trends, so it is very good to use it as a tool for judging short-term trends. At the same time, the filtering function has been added:
Long: green
Short: red
No direction: blue
2, the general trend judgment: the use of 30SMA as the default trend line, while increasing the ATR band to increase the scope of judgment.
How do I use (assuming it is now a period of long market):
1, first look at the 30SMA and ATR band, if the slope is positive (> 45 °), then ready to go long!
2. When price comes to the ATR band, the ATR band is my point of interest
3. Wait for a test of the ATR band: the EMA turns green, which means that the short-term trend is already nice and long.
4. Stop Loss Placement: Stop Loss is placed at the most recent low.
Closing
Enjoy it!
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简单介绍：
简单易用的趋势指标，帮助寻找进场位置
它怎么工作：
1、短期趋势判断：EMA受短期趋势影响很大，因此把它作为判断短期趋势的工具非常好用。同时增加了过滤功能：
多头：绿色
空头：红色
无方向：蓝色
2、大趋势判断：使用30SMA作为默认趋势线，同时增加ATR带增加判断范围。
我是如何使用的（假设是现在是一段多头行情）：
1、先看30SMA和ATR带，如果斜率为正（>45°），那么准备做多
2、当价格来到ATR带时，ATR带是我的感兴趣的点
3、等待一次对于ATR带的测试：EMA变成绿色，代表短期已经是不错的多头趋势
4、止损放置：止损放置在最近的低点
结束
请享受它
ATR Bands (Keltner Channel), Wick and SRSI Signals [MW]Introduction
This indicator uses a novel combination of ATR Bands, candle wicks crossing the ATR upper and lower bands, and baseline, and combines them with the Stochastic SRSI oscillator to provide early BUY and SELL signals in uptrends, downtrends, and in ranging price conditions.
How it’s unique
People generally understand Bollinger Bands and Keltner Channels. Buy at the bottom band, sell at the top band. However, because the bands themselves are not static, impulsive moves can render them useless. People also generally understand wicks. Candles with large wicks can represent a change in pattern, or volatile price movement. Combining those two to determine if price is reaching a pivot point is relatively novel. When Stochastic RSI (SRSI) filtering is also added, it becomes a genuinely unique combination that can be used to determine trade entries and exits.
What’s the benefit
The benefit of the indicator is that it can help potentially identify pivots WHEN THEY HAPPEN, and with potentially minimal retracement, depending on the trader’s time window. Many indicators wait for a trend to be established, or wait for a breakout to occur, or have to wait for some form of confirmation. In the interpretation used by this indicator, bands, wicks, and SRSI cycles provide both the signal and confirmation.
It takes into account 3 elements:
Price approaching the upper or lower band or the baseline - MEANING: Price is becoming extended based on calculations that use the candle trading range.
A candle wick of a defined proportion (e.g. wick is 1/2 the size of a full candle OR candle body) crosses a band or baseline, but the body does not cross the band or baseline - MEANING: Buyers and sellers are both very active.
The Stochastic RSI reading is above 80 for SELL signals and below 20 for BUY signals - MEANING: Additional confirmation that price is becoming extended based on the current cyclic price pattern.
How to Use
SIGNALS
Buy Signals - Green(ish):
B Signal - Potential pivot up from the lower band when using the preferred multiplier
B1 Signal - Potential pivot up from the lower band when using phi * multiplier
B2 Signal - Potential pivot up from the lower band when using 1/2 * multiplier
B3 Signal - Potential pivot up from baseline
Sell Signals - Red(ish):
S Signal - Potential pivot down from the upper band when using the preferred multiplier
S1 Signal - Potential pivot down from the upper band when using
S2 Signal - Potential pivot down from the upper band when using 1/2 * multiplier
S3 Signal - Potential pivot down from the baseline
DISCUSSION
During an uptrend or downtrend, signals from the baseline can help traders identify areas where they may enter the trending move with the least amount of drawdown. In both cases, entry points can occur with baseline signals in the direction of the trend.
For example, in an uptrend (when the price is forming higher highs and higher lows, or when the baseline is rising), price tends to oscillate between the upper band and baseline. In this case, the baseline BUY signal (B3) can show an entry point.
In a downtrend (when the price is forming lower highs and lower lows, or when the baseline is falling), price tends to oscillate between the baseline and the lower band. In this case, the baseline SELL signal (S3) can show an entry point.
During consolidation, when price is ranging, price tends to oscillate between the upper and lower bands, while crossing through the baseline unperturbed. Here, entry points can occur at the upper and lower bands.
When all conditions are met at the lower band during consolidation, a BUY signal (B), can occur. This signal may also occur prior to a break out of consolidation to the upside.
When all conditions are met at the upper band during consolidation, a SELL signal (S), can occur. This signal may also occur prior to a break out of consolidation to the downside.
Additional B1, B2, and S1, and S2 signals can be displayed that use the bands based on a multiplier that is half that of the primary one, and phi (0.618) times the primary multiplier as a way to quickly check for signals occurring along different, but related, bands.
Calculations
ATR Bands, or Keltner Channels, are a technical analysis tool that are used to measure market volatility and identify overbought or oversold conditions in the trading of financial instruments, such as stocks, bonds, commodities, and currencies. ATR Bands consist of three lines plotted on a price chart:
Middle Band, Basis, or Baseline: This is typically a simple moving average (SMA) of the closing prices over a certain period. It represents the intermediate-term trend of the asset's price.
Upper Band: This is calculated by adding a certain number of ATRs to the middle band (SMA). The upper band adjusts itself with the increase in volatility.
Lower Band: This is calculated by subtracting the same number of ATRs from the middle band (SMA). Like the upper band, the lower band adjusts to changes in volatility.
The candle wick signals occur if the wick is at the specified ratio compared to either the entire candle or the candle body. The upper band, lower band, and baseline signals happen if the wick is the specified ratio of the total candle size. For the major signals for upper and lower bands, these occur when the wick extends outside of the bands while closing a candle inside of the bands. For the baseline signals, they occur if a wick crosses a baseline but closes on the other side.
Settings
CHANNEL SETTINGS
Baseline EMA Period (Default: 21): Period length of the moving average basis line.
ATR Period (Default: 21): The number of periods over which the Average True Range (ATR) is calculated.
Basis MA Type (Default: SMA): The moving average type for the basis line.
Multiplier (Default: 2.5: The deviation multiplier used to calculate the band distance from the basis line.
ADDITIONAL CHANNELS
Half of Multiplier Offset (Default: True): Toggles the display of the ATR bands that are set a distance of half of the ATR multiplier.
Quarter of Multiplier Offset (Default: false): Toggles the display of the ATR bands that are set a distance of one quarter of the ATR multiplier.
Phi (Φ) Offset (Default: false): Toggles the display of the ATR bands that are set a distance of phi (Φ) times the ATR multiplier.
WICK SETTINGS FOR CANDLE FILTERS
Wick Ratio for Bands (Default: 0.4): The ratio of wick size to total candle size for use at upper and lower bands.
Wick Ratio for Baseline (Default: 0.4): The ratio of wick size to total candle size for use at baseline.
Use Candle Body (rather than full candle size) (Default: false): Determines whether wick calculations use the candle body or the entire candle size.
VISUAL PREFERENCES - SIGNALS
Show Signals (Default: true): Allows signal labels to be shown.
Show Signals from 1/2 Band Offset (Default: false): Toggle signals originating from 1/2 offset upper and lower bands.
Show Signals from Phi (Φ) Band Offset (Default: false): Toggle signals originating from phi (Φ) offset upper and lower bands.
Show Baseline Signals (Default: false): Toggle Baseline signals.
VISUAL PREFERENCES - BANDS
Show ATR (Keltner) Bands (Default: true): Use a background color inside the Bollinger Bands.
Fill Bands (Default: true): Use a background color inside the Bollinger Bands.
STOCHASTIC SETTINGS
Use Stochastic RSI Filtering (Default: False): This will only trigger some SELL signals when the stochastic RSI is above 80, and BUY signals when below 20.
K (Default: 3): The smoothing level for the Stochastic RSI.
RSI Length (Default: 14): The period length for the RSI calculation.
Stochastic Length (Default: 8): The period length over which the stochastic calculation is performed.
Other Usage Notes and Limitations
To understand future price movement, this indicator assumes that 3 things must be known:
Evidence of a change of market structure. This can be demonstrated by increased volatility, consolidation, volume spikes (which can be tracked with the MW Volume Impulse Indicator) or, in the case of this indicator, candle wicks.
The potential cause of the change. It could be a VWAP line (which can be tracked with the Multi VWAP , and Multi VWAP from Gaps indicators), an event, an important support or resistance level, a key moving average, or many other things. This indicator assumes the ATR bands can be a cause.
The current position in the price cycle. Oscillators like the RSI, and MACD, are typical measures of price oscillation (other oscillators like the Price and Volume Stochastic Divergence indicator can also be useful). This indicator uses the Stochastic RSI oscillator to determine overbought and oversold conditions.
When evidence of the change appears, and the potential cause of the change is identified, and the price oscillation is at a favorable position for the desired trading direction, this indicator will generate a signal.
ATR Bands (or Keltner Channels) are used to determine when price might “revert to the mean”. Crossing, or being near the upper or lower band, can indicate an overbought or oversold condition, which could lead to a price reversal. By tracking the behavior of candle wicks during these events, we can see how active the battle is between buyers and sellers.
If the top of a wick is large, it may indicate that sellers are aggressively attempting to bring the price down. Conversely, if the bottom wick is large, it can indicate that buyers are actively trying to counter the price action caused by selling pressure.
When this wicking action occurs at times when price is not near the upper band, lower band, or baseline, it could indicate the presence of an important level. That could mean a nearby VWAP line, a supply or demand zone, a round price number, or a number of other factors. In any case, this wick may be the first indication of a price reversal.
Shorter baseline periods may be better for short period trading like scalping or day trading, while longer period baselines can show signals that are better suited to swing trading, or longer term investing.
It's important for traders to be aware of the limitations of any indicator and to use them as part of a broader, well-rounded trading strategy that includes risk management, fundamental analysis, and other tools that can help with reducing false signals, determining trend direction, and providing additional confirmation for a trade decision. Diversifying strategies and not relying solely on one type of indicator or analysis can help mitigate some of these risks.
The TradingView platform allows a maximum of 500 labels per chart. This means that if your settings allow for a lot of signals, labels for earlier ones may not appear if the total number of labels exceeds 500 for the chart.
