Chuck Dukas Market Phases of Trends (based on 2 Moving Averages)This script is based on the article “Defining The Bull And The Bear” by Chuck Duckas, published in Stocks & Commodities V. 25:13 (14-22); (S&C Bonus Issue, 2007).
The article “Defining The Bull And The Bear” discusses the concepts of “bullish” and “bearish” in relation to the price behavior of financial instruments. Chuck Dukas explains the importance of analyzing price trends and provides a framework for categorizing price activity into six phases. These phases, including recovery, accumulation, bullish, warning, distribution, and bearish, help to assess the quality of the price structure and guide decision-making in trading. Moving averages are used as tools for determining the context preceding the current price action, and the slope of a moving average is seen as an indicator of trend and price phase analysis.
The six phases of trends
// Definitions of Market Phases
recovery_phase = src > ma050 and src < ma200 and ma050 < ma200 // color: blue
accumulation_phase = src > ma050 and src > ma200 and ma050 < ma200 // color: purple
bullish_phase = src > ma050 and src > ma200 and ma050 > ma200 // color: green
warning_phase = src < ma050 and src > ma200 and ma050 > ma200 // color: yellow
distribution_phase = src < ma050 and src < ma200 and ma050 > ma200 // color: orange
bearish_phase = src < ma050 and src < ma200 and ma050 < ma200 // color red
Recovery Phase : This phase marks the beginning of a new trend after a period of consolidation or downtrend. It is characterized by the gradual increase in prices as the market starts to recover from previous losses.
Accumulation Phase : In this phase, the market continues to build a base as prices stabilize before making a significant move. It is a period of consolidation where buying and selling are balanced.
Bullish Phase : The bullish phase indicates a strong upward trend in prices with higher highs and higher lows. It is a period of optimism and positive sentiment in the market.
Warning Phase : This phase occurs when the bullish trend starts to show signs of weakness or exhaustion. It serves as a cautionary signal to traders and investors that a potential reversal or correction may be imminent.
Distribution Phase : The distribution phase is characterized by the market topping out as selling pressure increases. It is a period where supply exceeds demand, leading to a potential shift in trend direction.
Bearish Phase : The bearish phase signifies a strong downward trend in prices with lower lows and lower highs. It is a period of pessimism and negative sentiment in the market.
These rules of the six phases outline the cyclical nature of market trends and provide traders with a framework for understanding and analyzing price behavior to make informed trading decisions based on the current market phase.
60-period channel
The 60-period channel should be applied differently in each phase of the market cycle.
Recovery Phase : In this phase, the 60-period channel can help identify the beginning of a potential uptrend as price stabilizes or improves. Traders can look for new highs frequently in the 60-period channel to confirm the trend initiation or continuation.
Accumulation Phase : During the accumulation phase, the 60-period channel can highlight that the current price is sufficiently strong to be above recent price and longer-term price. Traders may observe new highs frequently in the 60-period channel as the slope of the 50-period moving average (SMA) trends upwards while the 200-period moving average (SMA) slope is losing its downward slope.
Bullish Phase : In the bullish phase, the 60-period channel showing a series of higher highs is crucial for confirming the uptrend. Additionally, traders should observe an upward-sloping 50-period SMA above an upward-sloping 200-period SMA for further validation of the bullish phase.
Warning Phase : When in the warning phase, the 60-period channel can provide insights into whether the current price is weaker than recent prices. Traders should pay attention to the relationship between the price close, the 50-period SMA, and the 200-period SMA to gauge the strength of the phase.
Distribution Phase : In the distribution phase, traders should look for new lows frequently in the 60-period channel, hinting at a weakening trend. It is crucial to observe that the 50-period SMA is still above the 200-period SMA in this phase.
Bearish Phase : Lastly, in the bearish phase, the 60-period channel reflecting a series of lower lows confirms the downtrend. Traders should also note that the price close is below both the 50-period SMA and the 200-period SMA, with the relationship of the 50-period SMA being less than the 200-period SMA.
By carefully analyzing the 60-period channel in each phase, traders can better understand market trends and make informed decisions regarding their investments.
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Relative Momentum Index with Laguerre FilterThe Relative Momentum Index
The Relative Momentum Index (RMI) is an oscillator that is a variation of the Relative Strength Index (RSI), but incorporates momentum over a variable lookback period rather than just consecutive price changes, which can help identify reversals and filter out noise.
It measures the momentum of price changes over a specified period, rather than just the magnitude of price changes like the RSI does.
It counts up and down days from the current closing price relative to the closing price a certain number of days ago (e.g. 5 days ago), instead of just comparing consecutive daily closes like the RSI
It is calculated by taking the ratio of the average upward price changes to the average downward price changes over a given period, where each change is measured from the close X days ago (X is the “momentum” period)
Like the RSI, the RMI oscillates between 0 and 100, with readings above 70 considered overbought and below 30 oversold.
In trending markets, the RMI tends to remain in overbought or oversold territory for extended periods. In trading ranges, it oscillates more predictably between the overbought and oversold levels.
The RMI is generally considered better than the RSI at identifying potential reversal points, as it incorporates a momentum factor rather than just strength.
It can be used in a similar way to the RSI for trade signals, such as buying when it rises above 30 from below, or selling when it falls below 70 from above
The Laguerre filter
A Laguerre filter is a type of infinite impulse response (IIR) filter used for smoothing signals or data. The Laguerre filter provides a way to apply variable smoothing to a signal by adjusting its pole position, allowing you to control the balance between smoothness and lag based on your preferences. It is an alternative to simple moving averages that can better preserve the shape of the original signal.
Median Momentum with Buy/Sell Signals and Bar ColorMomentum Calculation:
Momentum is calculated as the difference between the current close price and the close price momentum_length periods ago: momentum = close - close .
Highest and Lowest Momentum:
The highest and lowest momentum values over the specified length are calculated.
Median Momentum:
The median momentum is calculated as the average of the highest and lowest momentum values.
Color Setting:
medianColor is set based on whether the momentum is above, below, or equal to the median momentum.
barColor is set similarly for bar coloring.
Plotting:
The script plots the median momentum and the actual momentum values.
Buy and sell signals are generated when momentum crosses over or under the median momentum.
The script also plots the buy and sell signals with arrows on the chart.
HTF Descending TriangleHTF Descending Triangle aims at detecting descending triangles using higher time frame data, without repainting nor misalignment issues.
Descending triangles are defined by a falling upper trend line and an horizontal lower trend line. It is a chart pattern used in technical analysis to predict the continuation of a downtrend.
This indicator can be useful if you, like me, believe that higher time frames can offer a broader perspective and provide clearer signals, smoothing out market noise and showing longer-term trends.
You can change the indicator settings as you see fit to tighten or loosen the detection, and achieve the best results for your use case.
Features
It draws the detected descending triangle on the chart.
It supports alerting when a detection occurs.
It allows for setting the higher time frame to run the detection on.
It allows for setting the minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
It allows for setting a low factor detection criteria to apply on higher time frame bars low as a proportion of the distance between the reference bar low and open/close.
It allows for turning on an adjustment of the triangle using highest/lowest values within valid higher time frame bars.
Settings
Higher Time Frame dropdown: Selects higher time frame to run the detection on. It must be higher than, and a multiple of, the chart's timeframe.
Valid Bars Minimum field: Sets minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
Low Factor checkbox: Turns on/off low factor detection criteria.
Low Factor field: Sets low factor to apply on higher time frame bars low as a proportion of the distance between the reference bar low and open/close.
Adjust Triangle checkbox: Turns on/off triangle adjustment using highest/lowest values within valid higher time frame bars.
Detection Algorithm Notes
The detection algorithm recursively selects a higher time frame bar as reference. Then it looks at the consecutive higher time frame bars (as per the requested number of minimum valid bars) as follows:
High must be lower than previous bar.
Open/close min value must be higher than reference bar low.
When low factor criteria is turned on, low must be lower than reference bar open/close min value minus low factor proportion of the distance between reference bar low and open/close min value.
Mateo's Time of Day Analysis LEThis strategy takes a trade every day at a specified time and then closes it at a specified time.
The purpose of this strategy is to help determine if there are better times to day to buy or sell.
I was originally inspired to write this when a YouTuber stated that SPX had been up during the last 30 minutes of the day over 80% of the time the past year. No matter who says it, test it, and in my opinion, TradingView is one of the easiest placed to do that! Unfortunately, that particular claim did not turn out to be accurate, but this tool remains for those who want to optimize timing their entries and exits at specific times of day.
market slayerInput Parameters:
Various input parameters allow customization of the strategy, including options to show trend confirmation, specify trend timeframes and values, set SMA lengths, enable take profit and stop loss, and define their respective values.
Calculations:
Simple Moving Averages (SMAs) are calculated based on the specified lengths.
Buy and sell signals are generated based on the crossover and crossunder of the short and long SMAs.
Confirmation Bars:
Functions are defined to determine bullish or bearish confirmation bars based on certain conditions.
These confirmation bars are used to confirm trend direction and generate additional signals.
Plotting:
SMAs are plotted on the chart.
Trend labels and signal markers are plotted based on the calculated conditions.
Trade Signals:
Buy and sell conditions are defined based on the crossover/crossunder of SMAs and confirmation of trend direction.
Strategy entries and exits are executed accordingly.
Take Profit and Stop Loss:
Optional take profit and stop loss functionality is included.
Trades are automatically closed when profit or loss thresholds are reached.
Closing Trades:
Trades are also closed based on changes in trend confirmation bars to ensure alignment with the overall market direction.
Alerts:
Alert conditions are defined for opening and closing trades, providing notifications when certain conditions are met.
Overall, this script aims to provide a systematic approach to trading by combining moving average crossovers with trend confirmation bars, along with options for risk management through take profit and stop loss orders. Users can customize various parameters to adapt the strategy to different market conditions and trading preferences.
The script uses the request.security() function with the lookahead parameter set to barmerge.lookahead_on to access data from a higher timeframe within the Pine Script on TradingView. Let's break down why it's used:
Higher Timeframe Analysis:
By default, Pine Script operates on the timeframe of the chart it's applied to. However, in trading strategies, it's common to incorporate signals or data from higher timeframes to confirm or validate signals generated on lower timeframes. This helps traders to align their trades with the broader market trend.
Trend Confirmation:
In this script, the confirmationTrendTimeframe parameter allows users to specify a higher timeframe for trend confirmation. The request.security() function fetches the data from this higher timeframe and applies the defined conditions to confirm the trend direction.
Lookahead Behavior:
The lookahead parameter set to barmerge.lookahead_on ensures that the script considers the most up-to-date information available on the higher timeframe when making trading decisions on the lower timeframe. This prevents the script from lagging behind or using outdated data, enhancing the accuracy of trend confirmation.
Usage in confirmationTrendBullish and confirmationTrendBearish:
These variables are assigned the values returned by the request.security() function, which represents the bullish or bearish trend confirmation based on the conditions applied to the data from the higher timeframe.
Composite Risk IndicatorThe Composite Risk Indicator is a financial tool designed to assess market risk by analyzing the spreads between various asset classes. This indicator synthesizes information across six key spreads, normalizing each on a scale from 0 to 100 where higher values represent higher perceived risk. It provides a single, comprehensive measure of market sentiment and risk exposure.
Key Components of the CRI:
1. Stock Market to Bond Market Spread (SPY/BND): Measures the performance of stocks relative to bonds. Higher values indicate stronger stock performance compared to bonds, suggesting increased market optimism and higher risk.
2. Junk Bond to Treasury Bond Spread (HYG/GOVT): Assesses the performance of high-yield (riskier) bonds relative to government (safer) bonds. A higher ratio indicates increased appetite for risk.
3. Junk Bond to Investment Grade Bond Spread (HYG/LQD): Compares high-yield bonds to investment-grade corporate bonds. This ratio sheds light on the risk tolerance within the corporate bond market.
4. Growth to Value Spread (VUG/VTV): Evaluates the performance of growth stocks against value stocks. A higher value suggests a preference for growth stocks, often seen in risk-on environments.
5. Tech to Staples Spread (XLK/XLP): Measures the performance of technology stocks relative to consumer staples. This ratio highlights the market’s risk preference within equity sectors.
6. Small Cap Growth to Small Cap Value Spread (SLYG/SLYV): Compares small-cap growth stocks to small-cap value stocks, providing insight into risk levels in smaller companies.
Utility:
This indicator is particularly useful for investors and traders looking to gauge market sentiment, identify shifts in risk appetite, and make informed decisions based on a broad assessment of market conditions. The CRI can serve as a valuable addition to investment analysis and risk management strategies.
SMA DMA Crossing SignalSMA and DMA Crossing Buy Sell Signals
This script implements a Double Moving Average (DMA) strategy, a popular technical analysis technique used by traders to identify trends and potential buy/sell signals in financial markets.
**Description:**
The Double Moving Average strategy involves the calculation of two moving averages – a short-term moving average and a long-term moving average. In this script, we calculate these moving averages as follows:
1. **Short-term DMA (`dmaShort`):**
- Calculated using a 28-bar Simple Moving Average (SMA).
- Represents the shorter-term trend in the price movement.
2. **Long-term DMA (`dmaLong`):**
- Also calculated using a 28-bar SMA.
- Displaced backward by 14 bars (`dmaLong := request.security(syminfo.tickerid, "D", dmaLong )`), effectively creating a 28-bar SMA with a -14 bar displacement.
- Represents the longer-term trend in the price movement.
**Signals:**
Buy and sell signals are generated based on the crossing of the short-term DMA over or under the long-term DMA:
- **Buy Signal (`DMA BUY`):** Occurs when the short-term DMA crosses above the long-term DMA (`dmaBuySignal`).
- **Sell Signal (`DMA SELL`):** Occurs when the short-term DMA crosses below the long-term DMA (`dmaSellSignal`).
**How to Use:**
- **Buy Signal:** Consider entering a long position when the short-term DMA crosses above the long-term DMA, indicating a potential uptrend.
- **Sell Signal:** Consider exiting a long position or entering a short position when the short-term DMA crosses below the long-term DMA, indicating a potential downtrend.
This script provides a visual representation of the DMA crossover signals on the chart, helping traders identify potential entry and exit points in the market.
**Note:** It's important to combine DMA signals with other technical analysis tools and risk management strategies for informed trading decisions.
All comments are welcome..
IBD PowerTrendThis IBD PowerTrend indicator is designed to help traders identify strong market uptrends based on the IBD Market School's Power Trend methodology. It is intended to be added to daily charts on major indexes.
Concept and Methodology
The IBD PowerTrend helps traders identify strong market uptrends. Markets generally exist in three states: uptrends, downtrends, and rangebound motion. This methodology focuses on:
Downtrends: Stay out of the market.
Rangebound markets: Often frustrating, best avoided.
Uptrends: Identify the strongest uptrends early.
This indicator uses IBD's research on historical uptrends to help traders get in and stay in during robust market phases.
How It Works
A PowerTrend starts when the following four conditions are met simultaneously on a major index:
10-Day Low Above 21-Day EMA : The market's low must be above the 21-day exponential moving average (EMA) for at least 10 consecutive days.
21-Day EMA Above 50-Day SMA : The 21-day EMA must be above the 50-day simple moving average (SMA) for at least five consecutive days.
50-Day SMA Uptrend : The 50-day SMA must be in an uptrend (one day is sufficient).
Market Closes Up : The market must close higher than the previous day's close.
A PowerTrend typically ends when the 21-day EMA crosses back below the 50-day SMA. However, there are rare cases where a PowerTrend can end early due to a circuit breaker or a follow-through day failure. In this script, a circuit breaker is defined as a break of the 50-day line and being more than 10% below recent highs (interpreted as three months).
How to Use
When the PowerTrend is active, the indicator will plot green circles, signaling a strong market uptrend. During these periods, traders might observe opportunities in growth stocks breaking out of sound bases and consider the use of margin. Conversely, during downtrends, the indicator suggests a more defensive approach.
It is recommended to use on daily timeframe.
Chart Description
Main Chart:
- EMA 21 (blue): The 21-day exponential moving average.
- SMA 50 (red): The 50-day simple moving average.
First Panel:
- IBD PowerTrend Indicator: Plots the PowerTrend status with green circles indicating an active PowerTrend.
Second Panel:
- Volume Bars
RSI ATR Range [SS]Hey everyone,
Over the course of the last year I had a bunch of requests to do something with RSI. I did do an RSI expected move plotter, but the requests were to overhaul RSI and make it better I guess.
So here is my attempt!
This is the RSI ATR plotter. Its similar to my RSI expected move plotter, however, it gives you the ATR ranges associated with the current RSI value. This allows you to conceptualize RSI in a different way. Instead of looking for "oversold" over "overbought", you can actually just see the expected high to open range and the expected open to low range based on the current RSI.
This will allow you to determine such things as:
a) Is it likely to be bullish?
b) Is it likely to be bearish?
c) The average move, in a dollar amount, associated with this RSI.
In addition to presenting RSI in terms of ranges as opposed to the actual RSI value, the indicator will also signal likely reversal areas. Whenever there is a huge spike in RSI and range, whether it be up or down, this generally corresponds to an imminent reversal. The indicator is programmed to recognize this and plot little grey circles to notify you of an impending reversal.
Let's take a look at some reversal examples using NVDA:
In the chart above, we can see that the RSI signaled a reversal. As it was part of a downtrend, the reversal was bullish.
Let's look at a top reversal:
The chart above shows a likely downside reversal.
And some little bounce reversals here and there:
In addition to showing you the ATR range and reversals, the indicator will show you the RSI in a bar graph format:
You won't be able to look for RSI divergences, if you are a believer of those. However, you can definitely visualize them in the ATR ranges which are directly affected by the RSI readings.
Aspects of the indicator:
Bull ranges are displayed in green.
Bear ranges are displayed in red.
When green is present we know its entering or currently in a bullish RSI range:
Inversely, when it starts to shift red, we know we are entering a bearish RSI range:
There is a border that circles the range. It will be green when we are in a bullish range and red when we are in a bearish range. In addition to these 2 signals, the RSI bar chart itself will turn green in bullish ranges, and red in bearish ranges.
Here is bullish:
Here is bearish:
Customizability
You can customize the Source input for the RSI (default is close). As well as the length (default is 14).
The ATR length is defaulted to 500. My suggestion is to leave this be. You can increase it but I would not suggest decreasing it as it may omit some of the RSI ranges from its history.
And that is the indicator my friends! Hope you enjoy!
As always, safe trades!
HTF Ascending TriangleHTF Ascending Triangle aims at detecting ascending triangles using higher time frame data, without repainting nor misalignment issues.
Ascending triangles are defined by an horizontal upper trend line and a rising lower trend line. It is a chart pattern used in technical analysis to predict the continuation of an uptrend.
This indicator can be useful if you, like me, believe that higher time frames can offer a broader perspective and provide clearer signals, smoothing out market noise and showing longer-term trends.
You can change the indicator settings as you see fit to tighten or loosen the detection, and achieve the best results for your use case.
Features
It draws the detected ascending triangle on the chart.
It supports alerting when a detection occurs.
It allows for setting the higher time frame to run the detection on.
It allows for setting the minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
It allows for setting a high factor detection criteria to apply on higher time frame bars high as a proportion of the distance between the reference bar high and open/close.
It allows for turning on an adjustment of the triangle using highest/lowest values within valid higher time frame bars.
Settings
Higher Time Frame dropdown: Selects higher time frame to run the detection on. It must be higher than, and a multiple of, the chart's timeframe.
Valid Bars Minimum field: Sets minimum number of consecutive valid higher time frame bars to fit the pattern criteria.
High Factor checkbox: Turns on/off high factor detection criteria.
High Factor field: Sets high factor to apply on higher time frame bars high as a proportion of the distance between the reference bar high and close/open.
Adjust Triangle checkbox: Turns on/off triangle adjustment using highest/lowest values within valid higher time frame bars.
Detection Algorithm Notes
The detection algorithm recursively selects a higher time frame bar as reference. Then it looks at the consecutive higher time frame bars (as per the requested number of minimum valid bars) as follows:
Low must be higher than previous bar.
Open/close max value must be lower than reference bar high.
When high factor criteria is turned on, high must be higher than reference bar open/close max value plus high factor proportion of the distance between reference bar high and open/close max value.
Dynamic Support & Resistance TrackerThe "Dynamic Support & Resistance Tracker" is a powerful Pine Script study designed to identify and visualize key support and resistance levels on a trading chart. This study dynamically adjusts to market conditions, providing traders with valuable insights for making informed trading decisions.
Key Features:
Dynamic Support & Resistance Lines:
The script identifies and plots support and resistance levels using pivot points based on a user-defined number of left and right bars.
Resistance lines are plotted in red, while support lines are plotted in blue, making it easy to distinguish between the two.
Toggle Breaks:
Users can choose to display or hide break signals for support and resistance levels using a simple toggle input.
Volume Threshold:
The study includes daily and weekly high and low calculations to provide a comprehensive view of market ranges.
Previous high and low lines are plotted for both daily and weekly timeframes, aiding in identifying potential breakout or breakdown levels.
Regular Market Hours:
The script defines regular market hours and tracks sessions, ensuring that support and resistance levels are relevant to active trading periods.
Midline and Extension Lines:
The study calculates and plots a midline between the previous high and low, along with extension lines above and below the range. These lines help identify potential target levels and extensions beyond the current range.
Real-time Updates:
The script ensures that all lines are updated in real-time, adjusting to new bars as they form. This dynamic feature keeps the levels relevant and accurate throughout the trading session.
Usage Instructions:
Adjust the number of left and right bars to define the sensitivity of the support and resistance levels.
Toggle the display of break signals to highlight significant breaks in support or resistance.
Monitor the daily and weekly high and low lines to understand the broader market context.
Utilize the midline and extension lines to set potential price targets and manage risk effectively.
This study provides traders with a robust tool for identifying and reacting to key market levels, enhancing their trading strategies with dynamic and real-time insights.
Micho 150 SMA indicatorAMEX:SPY NASDAQ:MSFT This Pine Script indicator is designed to assist traders by displaying a 150-day Simple Moving Average (SMA) and a stop loss level based on a user-defined percentage below the 150-day SMA. It also marks significant crossover events with labels and highlights potential trend changes using Golden Cross and Death Cross indicators.
Features:
150-Day Simple Moving Average (SMA):
The script calculates and plots the 150-day SMA of the closing prices. This is a common technical indicator used to determine the overall trend of a security. The 150-day SMA is plotted in gray on the chart.
Stop Loss Price:
Users can define a stop loss percentage through an input field. This percentage is used to calculate a stop loss price that is plotted 1% (or user-defined percentage) below the 150-day SMA. The stop loss line is plotted in red on the chart. This helps traders manage risk by indicating a price level where they might consider exiting a trade to prevent further losses.
Buy and Sell Signals:
The script identifies potential buy and sell signals based on crossovers of the closing price with the 150-day SMA:
Buy Signal: When the closing price crosses above the 150-day SMA.
Sell Signal: When the closing price crosses below the 150-day SMA.
Labels are plotted at the crossover points to indicate "start follow" for buy signals (in green) and "check stoploss" for sell signals (in red).
Golden Cross and Death Cross:
The script also identifies Golden Cross and Death Cross events:
Golden Cross: Occurs when the 50-day SMA crosses above the 200-day SMA. This is generally considered a bullish signal indicating a potential upward trend.
Death Cross: Occurs when the 50-day SMA crosses below the 200-day SMA. This is generally considered a bearish signal indicating a potential downward trend.
These crossover events are marked with labels on the chart: "Golden Cross" (in yellow) and "Death Cross" (in yellow)
Exponential Moving Average with ADR bandIndicator: Exponential Moving Average with ADR Band
This TradingView script calculates and displays an Exponential Moving Average (EMA) along with an Average Daily Range (ADR) band around it. The indicator helps traders identify potential dynamic support and resistance levels adjusted for market volatility. Especially significant moves that originate from the ZONE and reach outside should be taken seriously.
Key Features:
EMA Calculation: The script computes the Exponential Moving Average (EMA) of the closing prices over a user-defined period.
ADR Band: It calculates the Average Daily Range (ADR) using a Simple Moving Average (SMA) of the daily high-low range over the same period.
Adjustable Parameters:
Length: The period for both the EMA and the ADR calculation, which can be set by the user (default is 20).
Multiple: A multiplier for the ADR to adjust the width of the bands around the EMA (default is 1).
Plotting: The EMA is plotted as an orange line. The upper and lower ADR bands are plotted around the EMA, and the area between these bands is filled with a translucent orange color to highlight the channel.
How It Works:
EMA Calculation: The script computes the EMA of the closing prices using the specified length.
ADR Calculation: The daily range (high-low) is averaged over the same length to get the ADR.
Band Creation: The upper band is created by adding the ADR (multiplied by the user-defined multiple) to the EMA. The lower band is created by subtracting the ADR (multiplied by the user-defined multiple) from the EMA.
Visualization: The EMA and ADR bands are plotted, and the area between the bands is filled to create a clear visual representation of the ADR channel.
Usage:
This indicator can be used to gauge market volatility and potential support/resistance zones.
The ADR band provides a dynamic range that adjusts with market conditions, helping traders identify potential breakout and reversal points.
To customize the indicator, adjust the 'Length' and 'ADR multiple' parameters to suit your trading style and the specific characteristics of the asset you are analyzing.
Trend Angle IndicatorTrend Angle Indicator
Description
The Trend Angle Indicator is designed to measure the strength of a trend by calculating the angle of the trend.
Specifically, it computes the angle of a Simple Moving Average (SMA) over a specified length and then applies
an Exponential Moving Average (EMA) to the angle for smoothing.
This approach provides a clear indication of the trend's direction and intensity.
It also includes customizable alerts for significant changes in the trend angle and zero-line crossings,
making it a robust tool for traders seeking to gauge market momentum.
Key Features
- **Trend Angle Calculation**: Measures the trend's angle, providing insights into trend direction and strength.
- **SMA and EMA**: Uses SMA for the base calculation and EMA for smoothening the angle values.
- **Visual Trend Indication**: Visually indicates uptrends and downtrends with customizable colors - red and green.
- **Alerts**: Configurable alerts for significant changes in trend angle and zero-line crossings.
Calculation Methodology
1. **Simple Moving Average (SMA):**
- The script calculates the SMA of the close price over a user-defined `input_length`.
2. **Angle Calculation:**
- The height of the trend is calculated by subtracting the SMA value from the SMA value `input_length` bars ago. A higher angle value indicates a stronger trend.
- The angle in degrees is obtained using the arctangent function: \
3. **Exponential Moving Average (EMA):**
- Applies an EMA to the calculated angle to smooth out the values based on a user-defined `input_ma_length`.
4. **Trend Detection:**
The color of the angle plot and filled area provide a quick visual representation of the current trend direction
- The trend angle changes are monitored and visualized with color-coded plots.
- Uptrend: Angle >= 0 uses `upColor` (green).
- Downtrend: Angle < 0 uses `downColor` (red).
#### Using the Indicator
1. **Adding the Indicator:**
- Add the indicator to your TradingView chart by selecting it from the Pine Script library or by pasting the script into the Pine Script editor.
2. **Inputs:**
- **Length**: Defines the period for the SMA calculation.
- **MA Length**: Sets the period for the EMA smoothing.
- **Angle Change Threshold (degrees)**: Defines the threshold for significant angle change alerts.
- **Color Candles**: Optionally colorizes the price candles based on the angle's trend direction.
3. **Customizing Plots:**
- **Angle Plot**: Displays the EMA of the trend angle. The color changes based on whether the trend is up or down.
- **Zero Line**: A horizontal line at zero to easily visualize crossings that signify a change in trend direction.
- **Fill Color**: Fills the area above/below the zero line with colors representing the direction of the trend.
4. **Setting Alerts:**
- **Cross Above Zero**: Triggers an alert when the trend angle crosses above zero, indicating a potential start of an uptrend.
- **Cross Below Zero**: Triggers an alert when the trend angle crosses below zero, indicating a potential start of a downtrend.
- **Significant Angle Change**: Alerts when the angle change exceeds the user-defined threshold, highlighting significant trend changes.
#### Example Usage
To use and customize the Trend Angle Indicator on your chart:
1. **Add to Chart**: Apply the indicator from the TradingView library or by pasting the script into the Pine Script editor.
2. **Configure Inputs**:
- Adjust the `Length` to set the period for the SMA.
- Set the `MA Length` for the EMA smoothing.
- Define the `Angle Change Threshold` for receiving alerts on significant changes.
3. **Display Customization**:
- Enable `Color Candles` to have the price candles reflect the trend direction.
4. **Set Alerts**:
- Use the alert conditions provided to get notified about critical events like zero line crossings or significant angle changes.
colorLabLibrary "colorLab"
The ColorLab library presents an essential solution for color optimization, leveraging color terms and philosophy. Through its capabilities, it furnishes the necessary versatility to attain optimal color representation and coherence by integrating functions.
tint_level(colour, level)
Determines a Tinted color
Parameters:
colour (color) : (series color) Pure color.
level (float) : (series float) Optional argument, default = 50. A level of tent color. 0 is entered color and 100 is white color.
Returns: (series color) A color Computed from a linear "Tint" gradient.
shade_level(colour, level)
Determines a Shaded color.
Parameters:
colour (color) : (series color) Pure color.
level (float) : (series float) Optional argument, default = 50. A level of tent color. 0 is entered color and 100 is Black color.
Returns: (series color) A color Computed from a linear "Shade" gradient.
tone_level(colour, level)
Determines a Tone color.
Parameters:
colour (color) : (series color) Pure color.
level (float) : (series float) Optional argument, default = 50. A level of tent color. 0 is entered color and 100 is Gray color.
Returns: (series color) A color Computed from a linear "Tone" gradient.
lightness_gradient(colour, value, bottom_value, top_value, bottom_lightness, top_lightness)
Determines a color from a "Lightness" gradient, based on the position of an entered value within a defined range.
Parameters:
colour (color) : (series color) Pure color.
value (float) : (series float) Value.
bottom_value (float) : (series float) Bottom Value.
top_value (float) : (series float) Top Value.
bottom_lightness (simple float) : (simple float) Optional argument, default = 70. Lightness Percentage. 100% is lightest and 0% is darkest
top_lightness (simple float) : (simple float) Optional argument, default = 30. Lightness Percentage. 100% is lightest and 0% is darkest
Returns: (series color) A color Computed a the linear "Lightness" gradient.
saturation_gradient(colour, value, bottom_value, top_value, bottom_saturated, top_saturated)
Determines a color from a "Saturation" gradient, based on the position of an entered value within a defined range.
Parameters:
colour (color) : (series color) Pure color.
value (float) : (series float) Value.
bottom_value (float) : (series float) Bottom Value.
top_value (float) : (series float) Top Value.
bottom_saturated (simple float) : (simple float) Optional argument, default = 15. Low Saturated Percentage.
top_saturated (simple float) : (simple float) Optional argument, default = 80. High Saturated Percentage.
Returns: (series color) A color Computed from a linear "Saturation" gradient.
hue_gradient(colour, value, bottom_value, top_value, bottom_hue, top_hue)
Determines a color from a "Hue" gradient, based on the position of an entered value within a defined range.
Parameters:
colour (color) : (series color) Pure color.
value (float) : (series float) Value.
bottom_value (float) : (series float) Bottom Value.
top_value (float) : (series float) Top Value.
bottom_hue (simple float) : (simple float) Optional argument, Default = 0. Low Hue is a degree where value in range 0 to 360 degrees.
top_hue (simple float) : (simple float) Optional argument, default = 300. High Hue is a degree where value in range 0 to 360 degrees.
Returns: (series color) A color Computed from a linear "Saturation" gradient.
opposColor(colour)
Generates the opposite color of inputted color.
Parameters:
colour (color) : (series color) Pure color.
Returns: (series color) An opposite color.
randColor(seed)
Generates a random color.
Parameters:
seed (simple int) : (simple int) Optional argument. With identifying seed, it will generate similar color sequence.
Returns: (series color) A random color.
bk_or_wh(colour, lightness)
Determines a white or back fits with an inputted color.
Parameters:
colour (color) : (series color) Pure color.
lightness (float) : (series float) Optional argument, default = 50. If the lightness percentage of inputted color is higher, the output is white; otherwise, it's black.
Returns: (series color) white or back color.
monochrome(colour, lightness, saturation)
Generates a monochromatic color scheme.
Parameters:
colour (color) : (series color) Pure color.
lightness (float) : (series float) Optional argument, default = NA. To custom Lightness percentage manually, 100% is lightest and 0% is darkest.
saturation (float) : (series float) Optional argument, default = NA. To custom Saturation percentage manually, 100% is highest and 0% is lowest saturated.
Returns: (tuple of two color series) .
complementary(colour)
Generates a complementary color scheme.
Parameters:
colour (color) : (series color) Pure color.
Returns: (tuple of two color series) .
analogous(colour)
Generates an analogous color scheme.
Parameters:
colour (color) : (series color) Pure color.
Returns: (tuple of three color series) .
triadic(colour)
Generates an Triadic color scheme.
Parameters:
colour (color) : (series color) Pure color.
Returns: (tuple of three color series) .
tetradic(colour)
Generates an Tetradic color scheme.
Parameters:
colour (color) : (series color) Main color.
Returns: (tuple of four color series) .
tst_scheme(colour, size, _type)
Generates an array of requested type (tint, shade, or tone) scheme colors.
Parameters:
colour (simple color) : (simple color) Pure color.
size (simple int) : (simple input) Number of elements in color array.
_type (simple string) : (simple string) Type of color scheme, possible input "tint", "shade", and "tone".
Returns: (simple array) An array contains elements of the requested type scheme colors.
lsh_scheme(colour, size, _type, topLevel, botLevel)
Generates an array of requested type (lightness, saturation or hue) scheme colors.
Parameters:
colour (simple color) : (simple color) Pure color.
size (simple int) : (simple input) Number of elements in color array.
_type (simple string) : (simple string) Type of color scheme, possible input "lightness", "saturation" and "hue".
topLevel (simple float) : (simple float) Optional argument, default = NA.
1. if "lightness", in a percentage where value in range 0 to 100, 100% lightest.
2. if "saturation", in a percentage where value in range 0 to 100, 100% highest saturated.
3. if "hue", in a degree where value in range 0 to 360 degrees.
botLevel (simple float) : (simple float) Optional argument, default = NA.
1. if "lightness", in a percentage where value in range 0 to 100, 0% darkest.
2. if "saturation", in a percentage where value in range 0 to 100, 0% lowest saturated.
3. if "hue", in a degree where value in range 0 to 360 degrees.
Returns: (simple array) An array contains elements of the requested type scheme colors.
display_color(colour, location)
Displays color including RGB and HSL.
Parameters:
colour (simple color) : (simple color) Pure color.
location (simple string) : (simple string) Optional argument, default = "top_right". cell location.
Returns: (simple table) A table cell contains RGB and HSL of entered color.
display_scheme(arrayColour, location)
Displays Scheme colors including RGB and HSL.
Parameters:
arrayColour (array)
location (simple string) : (simple string) Optional argument, default = "top_right". cell location.
Returns: (simple table) A table cells contain RGB and HSL of entered color.
Noise Area Indicator with Gap AdjustmentsThis version of the Noise Area Pine Script, developed with the assistance of ChatGPT, includes adjustments for opening gaps to better account for overnight price changes that affect the market open. This Pine Script is designed to provide traders with a dynamic visualization of the Noise Area based on the volatility of the last 14 trading days. It calculates the upper and lower boundaries using the daily opening price, representing typical price movements relative to the open. This helps identify significant deviations, potentially indicating the start of a trend.
Features:
Captures and adjusts for gaps between the previous day's close and the current day's open, allowing for more precise trend analysis.
Sets the Noise Area boundaries using both the daily opening price and the previous day's closing price, ensuring that sudden market moves are adequately considered.
Measures deviations in price from the opening, averaged over the last 14 days to calculate absolute movements.
Plots upper and lower boundaries on the chart, providing a visual guide for traders to assess market volatility.
Includes a dynamically plotted daily opening price, serving as a consistent reference point for market open conditions.
Usage:
This indicator is particularly useful for day traders and short-term traders who need to understand intraday volatility and pinpoint potential breakout points, aiding in the strategic planning of entry and exit points based on historical volatility patterns relative to the daily open (with gap adjustments).
Trend Quality IndicatorDescription
This indicator is my interpretation in Pinescript of the "Trend-Quality Indicator" by David Sepiashvili.
The Trend Quality indicator (Q-indicator) is an attempt to estimate trend in relation to noise. It answers the long-standing question of whether a trend change qualifies as significant and promising, or insignificant and better ignored. In terms of noise, trend estimation not only determines whether the trend is reliable, but also allows you to measure its strength gradually. Thus, regardless of their prices, trends of various securities can easily be compared to each other or against any index.
The Trend Quality indicator (or Q-indicator) is a trend detection and estimation tool that is based on a two-step filtering technique. It measures cumulative price changes over term-oriented semi-cycles and relates them to “noise.” The approach reveals congestion and trending periods of the price movement and focuses on the most important trends, evaluating their strength in the process. The indicator is presented in a centered oscillator and banded oscillator format.
Calculation and Logic
To estimate the price dynamics, the cumulative price change (CPC) indicator is used, which measures the amount that the price has changed from a fixed starting point within a given semi-cycle. The CPC indicator is calculated as a cumulative sum of differences between the current and previous prices over the period from the fixed starting point t0. The trend within the given semi cycle can be found by calculating the moving average of the cumulative price change:
Trend = MA (CPC, m, t => t0)
Segmenting the price time series and constructing trends within the extracted semi-cycles offers the smallest average gap between actual and averaged data points. This results in a better fit of the real price dynamics.
Estimating Trend Performance
A basic criterion for estimating trend performance is the amount the trend changes over up or down semi-cycles. If there is little or no visible progress in the trend, it may be considered as nonefficient. Further, significant changes in trend may be considered as promising trading opportunities, but the term “significant” is relative and subject to interpretation.
The Q-indicator is calculated by dividing trend by noise with an appropriate correction factor.
The denominator of the Q-indicator — noise — can be defined as the average deviation of the cumulative price change from the trend. To determine linear noise, first we calculate
the absolute value of the difference between CPC and trend, and then smooth it over the n-point period:
Noise1 = MA(I CPC Trend I,n)
High positive values suggest strong uptrend, low negative values signify strong downtrend, and values fluctuating around the zero level indicate that trend and noise are in equilibrium, i.e., non-trending conditions might be present.
The root mean square noise, similar to the conventional standard deviation, can be derived by summing the squares of the difference between CPC and trend over each of the preceding n-point periods, dividing the sum by n, and calculating the square root of the result.
The Q-indicator is intended to measure trend activity. Some benchmarks can be used to determine the strength of a trend. In the range of Q-indicator values from -1 to +1, the trend is buried beneath noise. It is preferable to stay out of this zone. The greater the Q, the less the risk of trading exceeds this level (absolute value of Q>2), it can be qualified as promising.
Readings in the range from +2 to +5, or from -2 to -5, can indicate moderate trending, and readings above Q=+5 or below Q=-5 indicate strong trending. Strong upward trending often leads to the security’s overvaluing, and strong downward trending often results in the security’s undervaluing. Readings exceeding strong trending benchmarks can indicate overbought or oversold conditions and signal that price action should be monitored closely.
Input Parameters’ Description
Fast Length - the number of bars used in calculation of fast SMA of Trending Periods.
Slow Length - the number of bars used in calculation of slow SMA of Trending Periods.
Trend Length - the number of bars upon which the trend is defined.
Noise Type - defines mechanism of defining noise: linear or root mean square.
Noise Length - the number of bars upon which noise is determined.
Correction Factor - multiplier used in noise calculation.
Threshold Value - In the range of Q-indicator values from -1 to +1, the trend is buried beneath noise. It is preferable to stay out of this zone. The greater the threshold Value of Q-Indicator, the less the risk of trading exceeds this level, it can be qualified as promising. Readings in the range from +2 to +5, or from -2 to -5, can indicate moderate trending, and readings above Q=+5 or below Q=-5 indicate strong trending.
Plots
• Green = buying pressure
• Red = selling pressure
• Yellow = sideways
• ZeroLine = the zero level
In the provided script, multi-timeframe analysis is achieved using the request.security function, which retrieves data from a different timeframe than the one on which the script is running.
Explanation of Multi-Timeframe Logic in Multi-Timeframe selection
• This option retrieves the Trend Quality (TQ) from a higher timeframe if the current chart is intraday.
• The higher timeframe is specified in minutes by the user and converted to a Pine Script timeframe string.
• If the current chart is not intraday or no higher timeframe is specified, the TQ is taken from the current timeframe
Summary:
• Trend Quality Indicator measures established TREND,
• can be used on different timeframes,
• works well on different timeframes,
• the threshold of 2 to 5 should be appropriate for most instruments. It can be modified in chart settings to adapt to your strategy.
The Trend Quality Indicator doesn't predict the future. It is intended to help traders assess the strength of the current trend, giving them a better understanding of the market conditions to make more informed trading choices.
Further Reading
1. "Trend-Quality Indicator" by David Sepiashvili. Technical Analysis of Stocks & Commodities, April 2004.
Walnut LevelsThis indicator was specifically designed to plot levels published by Walnut on SPY and ES charts. In the indicator's configuration settings, you are required to input the desired levels in the following format: (Description), (Description), (Description), .... Additionally, you have the option to configure whether to display labels and if those labels should include the numeric value of the level or just the description.
Moreover, the indicator allows customization of both color and line style via configuration settings. This flexibility enables users to tailor the appearance of the plotted levels according to their preferences. If there are no levels to plot, a message will be displayed indicating so.
Overall, the indicator streamlines the process of incorporating Walnut's published levels into trading analysis on SPY and ES charts, offering enhanced visualization and customization options to suit individual trading strategies.
PML (Extended hours)This indicator provides basic pre-market level information. You have the flexibility to select your preferred time range for the lines and labels.
For the #90amestbox group, set the time between 8:57 am and 9:03 am (EST). Ensure to draw the box using these lines, as the indicator is designed for extended hours only and won't function during regular trading hours.
What it does:
1) makes lines for the high and the low of the time slot you pick,
2) makes a label for the price,
3) you can also set alerts for when the price breaks the upside or downside.
Moving Average Crossover MonitorMoving Average Crossover Monitor: Gain Insight into Market Trends
The Moving Average Crossover Monitor is a specialized tool crafted for traders seeking to understand and predict market trends more effectively. This indicator's primary focus lies in analyzing consecutive candle movements above or below specified moving averages and providing predictive estimates based on historical data.
Key Features:
1. Consecutive Candle Tracking: The indicator meticulously counts and tracks the number of consecutive candles that close above or below a selected moving average (MA1). This tracking offers a tangible measure of trend persistence over time.
2. Historical Analysis for Future Prediction: By analyzing past trends, the indicator provides insights into potential future movements. It estimates the likelihood of upcoming candles continuing above or below the moving average based on historical patterns.
3. Dynamic Visualization: Moving averages (SMA, WMA, EMA) are dynamically plotted on the chart, clearly displaying crossover points and trend transitions.
How It Works:
1. Moving Average Calculation: Select your preferred moving average type (SMA, WMA, EMA) and define short and long periods. The indicator computes two moving averages (MA1 and MA2) based on these parameters.
2. Consecutive Candle Analysis:
- Above MA1: Tracks and counts consecutive candles closing above MA1, indicating potential bullish momentum.
- Below MA1: Tracks and counts consecutive candles closing below MA1, suggesting potential bearish sentiment.
3. Future Trend Prediction: Based on historical data of consecutive candle movements, the indicator estimates the likelihood of the next candle continuing in the same direction (above or below MA1).
Advantages for Traders:
1. Quantitative Insights: Use numerical data on consecutive candles to gauge trend strength and durability.
2. Predictive Analytics: Leverage historical patterns to anticipate future market movements and adjust trading strategies accordingly.
3. Decision Support Tool: Gain clarity on trend transitions, empowering timely and informed trading decisions.
Disclaimer:
This indicator is provided for educational purposes only and should not be considered as financial advice. Trading involves risks, and past performance is not indicative of future results. Traders should conduct their own analysis and exercise caution when making trading decisions based on any indicator or tool. Always consider risk management strategies and consult with a qualified financial advisor if needed.
Exponential SAR based MA**Description:**
The "Exponential SAR" (ESAR) indicator is a modified version of the classic Parabolic SAR (Stop and Reverse) indicator, incorporating an exponential moving average (EMA) smoothing technique. It aims to provide traders with a smoother representation of trend changes in the price action of a financial instrument.
**Functionality:**
The indicator calculates the Parabolic SAR values using specified parameters for start, increment, and maximum values. These parameters control the acceleration factor of the SAR. The calculated SAR values are then smoothed using an exponential moving average with a user-defined length, providing a more refined interpretation of trend dynamics.
**Inputs:**
- **Length:** Specifies the length of the exponential moving average used to smooth the Parabolic SAR values.
- **Alpha:** Defines the smoothing factor for the exponential moving average, allowing users to adjust the level of smoothing applied to the SAR.
- **Start, Increment, Maximum:** Parameters controlling the acceleration factor of the Parabolic SAR.
**Usage:**
- **Trend Identification:** Traders can use the Exponential SAR to identify trend reversals and continuations in the price action of a security. Bullish signals occur when the price moves above the ESAR, indicating an upward trend, while bearish signals occur when the price moves below the ESAR, signaling a downtrend.
- **Trend Confirmation:** The smoothed nature of the ESAR helps traders confirm trend changes more reliably, reducing the impact of false signals commonly associated with the standard Parabolic SAR.
- **Risk Management:** By incorporating a smoothed SAR, traders can make more informed decisions regarding entry and exit points, improving risk management strategies.
**Customization:**
Users can customize the indicator by adjusting the input parameters according to their trading preferences and market conditions. Experimenting with different lengths and alpha values can provide insights into the effectiveness of the ESAR in various trading scenarios.
**Note:**
As with any technical indicator, the Exponential SAR should be used in conjunction with other analytical tools and risk management techniques to validate signals and mitigate potential losses. Additionally, traders should consider market conditions and adapt their strategies accordingly.
Exponential Directional Index (DI)Exponential Directional Index (DI)
This indicator calculates the Exponential Directional Index (DI) using the Exponential Moving Average (EMA) of true range and directional movement. The DI is a widely used technical analysis tool that measures the strength of a trend by comparing positive and negative directional movements.
How it Works:
- **EMA Length:** Traders can adjust the length of the EMA calculation according to their trading preferences. A longer EMA length will result in a smoother DI line, while a shorter length will be more responsive to recent price action.
- **True Range (TR):** The true range is the greatest of the following: current high minus the current low, absolute value of the current high minus the previous close, and the absolute value of the current low minus the previous close.
- **Positive Directional Movement (+DM):** Calculates the difference between the current high and the previous high if positive, otherwise, it assigns a value of zero.
- **Negative Directional Movement (-DM):** Calculates the difference between the previous low and the current low if positive, otherwise, it assigns a value of zero.
- **Smoothed True Range (ATR):** Calculates the Exponential Moving Average (EMA) of the true range over the specified EMA length.
- **Smoothed Positive Directional Movement (+DI):** Calculates the Exponential Moving Average (EMA) of the positive directional movement over the specified EMA length.
- **Smoothed Negative Directional Movement (-DI):** Calculates the Exponential Moving Average (EMA) of the negative directional movement over the specified EMA length.
- **Directional Movement Index (DMI):** Calculates the DI values by dividing the smoothed positive and negative directional movements by the smoothed true range and multiplying by 100.
- **Bar Color:** The bar color changes based on whether the +DI is greater than, less than, or equal to the -DI. Green bars indicate that +DI is greater than -DI, red bars indicate that -DI is greater than +DI, and blue bars indicate that +DI is equal to -DI.
- **Background Highlight:** A background highlight is applied when the +DI crosses over the -DI or vice versa, providing a visual indication of potential trend changes.
Ideal Usage:
- **Trend Strength:** Traders can use the DI to gauge the strength of a trend. A rising +DI indicates bullish strength, while a rising -DI indicates bearish strength.
- **Trend Reversals:** Changes in the relationship between +DI and -DI, along with crossover signals, can indicate potential trend reversals.
- **Customization:** The indicator offers flexibility through customizable parameters, allowing traders to adapt it to various market conditions and trading strategies.
Warnings:
- **False Signals:** Like any technical indicator, false signals may occur, especially during periods of low volume or choppy market conditions. It's essential to use additional analysis and risk management techniques to avoid potential losses.
- **Parameter Sensitivity:** Adjusting the EMA length can affect the indicator's sensitivity to price movements. Traders should test different parameter settings and consider market conditions when using the indicator.
