Trend Momentum Indicator with MACD ConfirmationTrend Momentum Indicator with MACD Confirmation
Overview: The Trend Momentum Indicator with MACD Confirmation is a versatile trading tool designed to help traders identify potential buy and sell signals in the market based on the interaction between price action, a Simple Moving Average (SMA), and the Moving Average Convergence Divergence (MACD) indicator. This strategy aims to enhance trading decisions by waiting for MACD confirmation before executing trades, thereby reducing false signals.
Components:
Simple Moving Average (SMA):
The SMA is calculated over a user-defined period (default: 20 bars) and serves as a trend indicator. It provides a smoothed representation of price action and helps traders identify the overall market direction.
MACD:
The MACD is calculated using standard parameters (12 for fast length, 26 for slow length, and 9 for signal length) but can be adjusted to suit individual trading preferences. The MACD consists of two lines:
MACD Line: The difference between the fast and slow EMAs.
Signal Line: An EMA of the MACD Line, which helps indicate buy and sell conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is triggered when the price crosses above the SMA, coupled with the MACD line crossing above the signal line, indicating a bullish momentum.
Sell Signal: A sell signal occurs when the price crosses below the SMA, alongside the MACD line crossing below the signal line, indicating a bearish momentum.
Visual Features:
The SMA is plotted on the main price chart, allowing traders to easily visualize trend direction.
Buy signals are indicated by green triangle shapes below the price bars, while sell signals are shown by red triangle shapes above the price bars.
Optionally, a MACD histogram can be plotted to visualize the difference between the MACD line and the signal line, helping to confirm trade signals visually.
Usage:
This indicator is suitable for various trading styles, including day trading, swing trading, and trend-following strategies. It can be applied to any financial instrument, including stocks, forex, and cryptocurrencies.
Traders should consider combining this indicator with additional tools and analysis to enhance decision-making and manage risk effectively.
Search in scripts for "indicator"
Wave Anchor IndicatorThe Wave Anchor Indicator is designed to mark the crossing of overbought and oversold levels of higher time frame momentum waves, based on the VuManChu Cipher B+Divergences Wave Trend Indicator. This tool is inspired by the TP Mint trading strategy, which relies heavily on the momentum waves of Market Cipher B or VuManChu Cipher B for identifying optimal entry and exit points.
Key Concept: Anchored Waves
In the TP Mint strategy, momentum waves in overbought (above 60) or oversold (below -60) conditions on higher time frames are considered "anchored." These anchored waves provide strong signals for entries and take-profit points when viewed on lower time frames. The Wave Anchor Indicator focuses on these anchor conditions to help traders make informed decisions by seeing higher time frame anchor states directly on the entry time frame chart.
How It Works
Labeling Signals:
- On lower time frames, such as the 15-minute chart, the indicator shows labels when higher
time frame momentum waves (1-hour and 4-hour) cross the overbought or oversold levels.
- Labels above price indicate overbought conditions, with green labels when the wave crosses
upward and red labels when crossing downward.
- Labels below price signal oversold conditions, with red for a downward cross and green for an
upward cross.
- Each label displays the time frame of the crossing momentum wave, providing context for
traders at a glance.
Time Frame Pairings:
- On the 15-minute time frame, the indicator tracks anchor conditions from the 1-hour and 4-
hour time frames.
- On the 1-hour chart, it monitors 4-hour and daily time frame anchor conditions.
Customization and Alerts
Flexible Display Options : Users can choose to display none, one, or both of the grouped higher time frame labels, depending on their strategy and preferences.
Alerts : The indicator also allows for custom alerts when a label appears, helping traders stay on top of key market movements without constantly monitoring the chart.
Use Cases
This indicator is ideal for traders who use momentum-based strategies across multiple time frames. It simplifies the process of identifying key entry and exit points by focusing on the anchor conditions from higher time frames, making it easier to execute the TP Mint strategy or similar methods.
Thank you to VuManChu and LazyBear for mamking the momentum wave code open source and allowing it’s use in this indicator.
Color Stochastic IndicatorThis Pine Script™ indicator, "Color Stochastic Indicator," is designed to visualize the stochastic oscillator with color-coded trends and shaded background levels, providing a clearer understanding of market trends and potential trading signals.
Key Features:
Customizable Parameters:
K Period: The period for the %K line in the stochastic calculation (default: 50).
D Period: The period for the %D line, which is the moving average of %K (default: 13).
Slowing: The slowing factor applied to the stochastic calculation (default: 2).
Smoothing: A factor for additional smoothing of the stochastic values (default: 1.0).
Use Crossover: Option to determine trend based on the crossover of %K and %D lines.
Display Levels: Option to show significant stochastic levels on the chart (0.2, 0.5, 0.8).
Price Field: Selection of the price field used in calculations.
Stoch Width: Line width for the %K line.
Signal Width: Line width for the %D line.
Background Colors:
Upper Level Background: Shaded area between 0.5 and 0.8 with a customizable color.
Lower Level Background: Shaded area between 0.2 and 0.5 with a customizable color.
Color-Coded Trends:
Wait (Gray): Neutral state when no clear trend is detected.
Uptrend (Green): Indicates a potential buying signal.
Downtrend (Red): Indicates a potential selling signal.
Signal Line (Blue): Represents the %D line for clearer signal identification.
Alerts:
Customizable alerts trigger when the trend changes, providing timely notifications for potential trade opportunities.
How It Works:
Stochastic Calculation:
The %K line is calculated based on the selected K Period.
The %D line is a simple moving average (SMA) of the %K line over the D Period.
Additional smoothing is applied to both %K and %D lines using the specified Smoothing factor.
Fisher Transform:
The script applies a Fisher transform to the smoothed %K values, enhancing the clarity of trend signals.
Trend Determination:
If Use Crossover is enabled, the trend is determined based on the crossover of smoothed %K and %D lines.
If Use Crossover is disabled, the trend is determined based on whether the smoothed %K value is above or below 0.5.
Background Shading:
Fixed background colors are applied using hline and fill functions, highlighting the specified levels on the chart (0.2, 0.5, 0.8).
Plotting:
The smoothed %K line is plotted with color coding based on its value relative to the %D line and threshold levels.
The %D line is plotted for reference.
How to Use:
Adding the Indicator:
Copy and paste the provided Pine Script™ code into a new indicator script in TradingView.
Save and add the indicator to your desired chart.
Configuring Parameters:
Adjust the input parameters (K Period, D Period, Slowing, etc.) according to your trading strategy and preferences.
Enable or disable the Use Crossover option based on whether you prefer trend determination by crossover or threshold.
Interpreting Signals:
Observe the color-coded %K line to identify potential buy (green) and sell (red) signals.
Use the shaded background areas to quickly assess overbought (0.5 to 0.8) and oversold (0.2 to 0.5) conditions.
Monitor alerts for trend changes to take timely trading actions.
Alerts Setup:
Set up custom alerts based on the provided alert conditions to receive notifications when the trend changes.
Originality:
This script combines the stochastic oscillator with color-coding and background shading for enhanced visualization.
It introduces a unique Fisher transform application to the smoothed %K values.
The crossover and threshold-based trend determination options provide flexibility for different trading strategies.
Customizable alert messages help traders stay informed about trend changes in real time.
By incorporating these features, the "Color Stochastic Indicator" offers a comprehensive tool for traders seeking to leverage stochastic analysis with improved clarity and actionable insights.
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.
Buffett IndicatorThis is an open-source version of the Buffett indicator. The old version was code-protected and broken, so I created another version.
It's computed simply as the entire SPX 500 capitalization divided by the US GDP. Since TradingView does not have data for the SPX 500 capitalization, I used quarterly values of SPX devisors as a proxy.
I tried to create another version of the Buffett indicator for other countries/indexes, but I can't find the data. If you can help me find data for index divisors, I can add more choices to this indicator.
It's interesting to see how this indicator's behavior has changed in the last few years. Levels that looked crazy are not so crazy anymore.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
Weighted Alpha with Zero line indicatorDescription:
This script introduces an Enhanced Weighted Alpha Indicator, designed for traders and analysts who seek a more nuanced view of market momentum and trend strength. The Weighted Alpha is a sophisticated measure that combines the concepts of price change and consistency of trend over a specified period. This version of the indicator is enhanced with a customizable lambda value, allowing users to fine-tune the sensitivity according to their trading strategy.
Key Features:
Weighted Alpha Calculation: The script calculates the Weighted Alpha based on the daily return of the asset, adjusted by a decay factor (lambda). This provides a smoothed, long-term view of the asset's momentum.
Customizable Lambda: Users can adjust the lambda value to modify the rate at which older data decreases in relevance. A higher lambda value gives more weight to recent data, making the indicator more sensitive to recent price movements.
Zero Line Indicator: A dotted red horizontal line at the 0 value on the y-axis serves as a quick visual reference. This line helps in identifying when the Weighted Alpha crosses from positive to negative or vice versa, indicating potential shifts in market momentum.
Separate Chart Pane: The Weighted Alpha is plotted on a separate pane below the main chart, providing a clear and uncluttered view.
Usage:
Trend Analysis: A positive Weighted Alpha indicates an upward trend, while a negative value suggests a downward trend. The magnitude of the Weighted Alpha gives an idea of the trend's strength.
Crossover Signals: Watch for the Weighted Alpha line crossing the zero line. Such crossovers can signal potential trend reversals.
Customization: Experiment with different lambda values to match the indicator's sensitivity with your trading style. A lower lambda smooths out the line more, while a higher lambda makes it more responsive to recent price changes.
Conclusion:
This Enhanced Weighted Alpha Indicator is a powerful tool for traders looking to analyze and anticipate market trends with greater precision. Its customization options and clear visual representation make it a valuable addition to any trader's toolkit.
Trailing Stop-Loss Indicator (FinnoVent)The Dynamic 9 EMA Trailing Stop-Loss Indicator is a specialized tool designed for the TradingView community to enhance risk management in trading. This script dynamically adjusts a trailing stop-loss level based on the position of the price relative to a 9-period Exponential Moving Average (EMA), offering traders a systematic approach to protect potential profits and limit downside risk.
Functionality:
Adaptive Trailing Stop: The indicator calculates a trailing stop-loss that adjusts with the 9 EMA, providing a responsive method to secure gains or prevent extensive losses.
EMA Trend Indicator: The 9-period EMA serves as a momentum indicator, with the script adjusting the trailing stop-loss accordingly — above the EMA for short positions and below for long positions.
Entry Signal Visualization: Entry signals are visualized on the chart, indicating potential long and short positions based on price crossovers with the EMA.
Application:
This indicator is ideal for traders who utilize technical analysis to make informed decisions. By automatically adjusting the stop-loss level to the evolving market conditions, it is particularly useful for:
Day traders looking to capitalize on short-term price movements.
Swing traders aiming to secure positions during more extended market waves.
Any trading strategy that benefits from dynamic stop-loss management.
Usage:
To use the indicator, simply add it to your TradingView chart, and it will automatically plot the trailing stop levels. The green and red lines represent the trailing stops for long and short positions, respectively, providing clear visual cues for potential exit points.
Compliance with TradingView House Rules:
This script is provided for educational purposes and does not constitute investment advice. It is a unique creation that has been developed to contribute to the TradingView community by offering a tool that helps traders manage their trades more effectively.
MTF - Zigzag + Tech IndicatorsMTF - Zigzag + Tech Indicators
At high level the indicator can be a useful tool while analyzing the charts. It marks swing points (Zigzag) on 3 different timeframes along with capability to view key technical indicator values at each of the swing point.
Normally Zaizag indicators are useful for identifying primary trend and retracements. Zigzags also help in identifying key support and resistance areas. Traders develop various trading strategies based on Zigzags.
Most of the published Zigzag indicators use single timeframe / chart timeframe to draw the Zigzag lines but, many traders/chart analysts would like to analyze trends on multiple timeframes. Single timeframe Zigzags makes such analysis little difficult.
This indicator is an advanced version of Zigzag which allow users to draw Zigzag lines on multiple timeframes. It allows users to input 2 additional higher timeframes and in total it draws Zigzag on 3 timeframes i.e., on chart timeframe and 2 additional higher timeframes.
Once loaded on the chart, it draws Zigzag lines and plot labels (HH, LL, HL, LH) which denotes swing points. Each of the swing point label has a tooltip attached to it, which provide few additional data point, to view the additional data points, hover the mouse over the label.
Swing label tooltip shows these additional data points:
Tag: Swing type (HH, LL, HL, LH) + Bar time (in dd-mm-yyyy hh:mm format)
Price point: Swing price point
Price change: Price change since previous swing point along with change %
Swing volume: Volume since previous swing point in million
Key technical indicator values:
RSI (close, 14)
Stochastic (close, high, low, 14)
ADX (14, 14)
SMA20
SMA50
SMA100
SMA200
Use cases:
Support resistance: Though most of the swing points of a zigzag are treated as a support or resistance. This indicator allows to add more depth to the analysis. E.g., swing points based on lowest timeframe (chart timeframe) can be treated as weak support/resistance whereas swing points based on higher timeframe can treated as strong support/resistance and prices need to hit it multiple time to cross/break the same.
Trend identification: Trend on lowest timeframe (chart timeframe) can be a immediate term trend, trend on the mid-level higher timeframe can be a short term trend and trend on the highest level timeframe can be a long term trend.
Trade identification, entry, and exit: MTF Zigzag can also be creatively used while trading. Eg. One can identify a trend on highest level timeframe and use mid-level timeframe for trade entry and lowest level timeframe can be used for Take Profit levels (TP1, TP2, ..) and Stop loss. Alternatively, Trend can be identified on highest or mid-level timeframe and trade entry/exit can be based on lowest level timeframe.
Use of information displayed in tooltip: Analysts/traders look for confirmations from other indicators while initiating trades. These additional indicator values become handy/readily available source of information without specifically navigating through different indicators/charts. These indicator values can be creatively used in many ways. Some of the examples are:
Easy comparison of values of moving averages on all 3 timeframes
Better assessment of momentum and overbought/oversold based on value of stochastic and rsi
Use of ADX to determine the strength of the trend
Trade decision based on increasing or decreasing order of moving averages
Trade decision, based order of moving averages combined with overbought/oversold and strength of the trend
Chart examples: TCS on 60m/4h/1D
ITC 4h/1D
Input Parameters:
1. Chart timeframe zigzag setup: to plot zigzag based on chart timeframe
2. Higher timeframe zigzag setup: to plot zigzag based on higher timeframe
3. Higher timeframe zigzag setup 1: to plot zigzag based on another higher timeframe
Each of these have user selectable options:
1. Color/width of the zigzag line
2. plot zigzag line - select/unselect
3. plot HHLL labels - select/unselect
Both (2 and 3) Higher timeframe setups allow to select higher timeframe and offset. Offset can be 0 or 1. This setting normally used to avoid repainting. Select offset as 1 to avoid repainting.
For Pine script developers:
Script elements:
1. Input parameters
2. Type definition (UDT) for ohlc and ph, pl data elements
3. Map definition for visual properties
4. Type instances for chart_tf, higher_tf1, higher_tf2
5. Important variable – for indicator values
6. Methods –
a. get_ph_pl() – get ph, pl data for each of the tf along with indicator values
b. add_ph(), add_pl() – add ph, pl data to timeframe specific udt, plot the zigzag and labels, add tooltip to label
Script structure
1. Input parameters
2. Variable and type definitions
3. Methods and functions
4. For each of timeframe, call functions and methods
a. Check ph, pl (if swing point formed)
b. Plot ph, pl (if applicable) i.e. zigzag line, labels
Prevailing Trend IndicatorOVERVIEW
The Prevailing Trend indicator is a technical indicator that gauges whether the price is currently trending up or down. The purpose of this indicator is to call and/or filter with-trend signals.
CONCEPTS
This indicator assists traders in identifying high-probability trend entries. The upper line (blue line on the indicator) is calculated by taking the average range (high-low) of all bullish candles. The lower line (red line on the indicator) is calculated by taking the average range of all bearish candles. When these two lines intersect and cross each other, a buy and sell signal is generated. For example, if the blue line crosses over the red line, this indicates that the average size of all bullish bars are larger than the average size of all bearish bars. This is a good sign that an uptrend might occur. Vice versa for downtrends.
HOW DO I READ THIS INDICATOR
As an entry indicator:
When the blue line crosses over the red line, go long.
When the red line crosses over the blue line, go short.
As a signal filter:
If the blue line is above the red line, only take long trades.
If the red line is above the blue line, only take short trades.
Probability Trend IndicatorUnderstanding the Indicator:
The indicator calculates the probabilities of upward and downward trends based on the percentage change in price over a specified lookback period.
It displays these probabilities in a table and plots a histogram to represent the difference between the probabilities.
The colors of the histogram bars indicate the trend direction and whether the trend is increasing or decreasing.
Setting the Lookback Period:
The indicator allows you to specify the lookback period, which determines the number of bars to consider for calculating the probabilities.
By default, the lookback period is set to 50 bars. However, you can adjust it based on your trading preferences and the timeframe you're analyzing.
Analyzing the Probabilities:
The indicator calculates the probabilities of upward and downward trends and displays them in a table on the chart.
The probabilities are presented as percentages, representing the likelihood of each type of trend occurring.
You can use these probabilities to gain insights into the potential market direction and assess the strength of the prevailing trend.
Interpreting the Histogram:
The histogram is plotted based on the difference between the probabilities of upward and downward trends, known as the oscillator value.
The histogram bars are colored to provide visual cues about the trend direction and whether the trend is gaining or losing strength.
Green bars indicate upward trends, and red bars indicate downward trends.
Lighter shades of green or red suggest increasing trends, while darker shades suggest decreasing trends.
Making Trading Decisions:
The indicator serves as a tool for assessing the probabilities of trends and can be used alongside other technical analysis methods.
You can consider the probabilities, the histogram pattern, and the overall market context to make informed trading decisions.
It's important to remember that no indicator or tool can guarantee future market movements, so prudent risk management and additional analysis are essential.
Market Cycle IndicatorThe Market Cycle Indicator is a tool that integrates the elements of RSI, Stochastic RSI, and Donchian Channels. It is designed to detect market cycles, enabling traders to enter and exit the market at the most opportune times.
This indicator provides a unique perspective on the market, combining multiple strategies into one unified and weighted approach. By factoring in the inputs from each of these popular technical analysis methods, it offers a more holistic view of the market trends and cycles.
Parameter Details:
Donchian Channels (DCO):
- donchianPeriod: Sets the period for the Donchian Channel calculation. Default is set to 14.
- donchianSmoothing: Sets the smoothing factor for the Donchian Channel calculation. Default is set to 3.
- donchianPrice: Selects the price type to be used in the Donchian Channel calculation. Default is set to the closing price.
Relative Strength Index (RSI):
- rsiPeriod: Sets the period for the RSI calculation. Default is set to 14.
- rsiSmoothing: Sets the smoothing factor for the RSI calculation. Default is set to 3.
- rsiPrice: Selects the price type to be used in the RSI calculation. Default is set to the closing price.
Stochastic RSI (StochRSI):
- srsiPeriod: Sets the period for the Stochastic RSI calculation. Default is set to 20.
- srsiSmoothing: Sets the smoothing factor for the Stochastic RSI calculation. Default is set to 3.
- srsiK: Sets the period for the %K line in the Stochastic RSI calculation. Default is set to 5.
- srsiD: Sets the period for the %D line in the Stochastic RSI calculation. Default is set to 5.
- srsiPrice: Selects the price type to be used in the Stochastic RSI calculation. Default is set to the closing price.
Weights:
- rsiWeight: Sets the weight for the RSI in the final aggregate calculation. Default is set to 1.
- srsiWeight: Sets the weight for the Stochastic RSI in the final aggregate calculation. Default is set to 1.
- dcoWeight: Sets the weight for the Donchian Channel in the final aggregate calculation. Default is set to 1.
Limits:
- limitHigh: Sets the upper limit for the indicator. Default is set to 80.
- limitLow: Sets the lower limit for the indicator. Default is set to 20.
By customizing these parameters, users can tweak the indicator to align with their own trading strategies and risk tolerance levels. Whether you're a novice or an experienced trader, the Comprehensive Market Cycle Indicator provides valuable insights into the market's behavior.
Uses library HelperTA
Satoshi Indicator
This is a very simple price comparison indicator.
People who are familiar with PineScript can easily create it, but most people who are not familiar with PineScript often double-check BTC pair's charts to compare Bitcoin and other symbols.
This indicator made for that process easier.
The indicator is basically supposed to show the price ratio of BTC and the symbol you're looking at.
However, if you like, you can also select other symbol to compare in the settings of the indicator.
In addition, if you select 'Color with RSI' in the settings of the indicator, you can see the RSI for the current Pair Chart through the color of the line.
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이것은 아주 간단한 가격 비교용 인디케이터입니다.
파인스크립트에 익숙한 사람은 간단히 만들어낼 수 있지만, 파인스크립트에 익숙하지 않은 대부분의 사람들은 비트코인과 그 외의 종목들을 비교하기 위해 BTC pair의 차트를 다시 확인하곤 합니다.
그러한 과정을 좀 더 편하게 하기 위해 이 지표를 만들었습니다.
해당 지표는 기본적으로 BTC 와 현재 보고 있는 차트의 가격 비율을 표시하도록 되어있습니다.
하지만 원한다면, 지표의 설정에서 비교할 다른 차트를 선택할 수도 있습니다.
또한, 지표의 설정에서 'Color with RSI'를 선택한다면, 현재 btc pair 차트에 대한 RSI를 line의 색상을 통해 확인할 수 있습니다.
Multi Timeframe Moving AveragesThis script lets you have multiple Smoothed Moving Averages
for any timeframe of your choosing that are configurable to
your liking all in one indicator. Very useful if you want to always
show a specific MA like the 200d SMA on smaller timeframes,
for example.
Defaults to 30 d, 60 day, 90 day
Directional Movement Indicator (DMI and ADX) - TartigradiaDirection Movement Indicator (DMI) is a trend indicator invented by Welles Wilder, who also authored RSI.
DMI+ and DMI- respectively indicate pressure towards bullish or bearish trends.
ADX is the average directional movement, which indicates whether the market is currently trending (high values above 25) or ranging (below 20) or undecided (between 20 and 25).
DMX is the non smoothed ADX, which allows to detect transitions from trending to ranging markets and inversely with zero lag, but at the expense of having much more noise.
This is an extended indicator, from the original one by BeikabuOyaji, please show them some love if you appreciate this indicator:
Usage: To use this indicator for entry: when DMI+ crosses over DMI-, there is a bullish sentiment, however ADX also needs to be above 25 to be significant, otherwise the move is not necessarily sustainable.
Inversely, when DMI+ crosses under DMI- and ADX is above 25, then the sentiment is significantly bearish, but if ADX is below 20, the signal should be disregarded.
This indicator automatically highlights the background in green when ADX is above 25, and in red when ADX is below 20, to ease interpretation.
Also, arrows can be activated in the Style menu to automatically show when the two conditions described above are met, or these can be used in a strategy.
München's Momentum WaveMUNICH'S MOMENTUM WAVE:
This momentum tracker has features sampled from Madrid's moving average ribbon but has differentiated many values, parameters, and usage of integers. It is derived using momentum and then creates moving averages and mean lengths to help support the strength of a move in price action, and also has the key mean length that helps determine HL/LH or rejections into trend continuation. This indicator works on ALL TIME FRAMES, ALL ASSET CLASSES ON ALL SETTINGS!!
HOW DO I USE IT?
*First off, I have arranged the input settings into groups based on the parts of the indicator it affects.
*You want to use the aqua/white/yellow (Munich's line) as your leading indicator, this is a combined average of the MoM indicator.
* When using Munich's line you want to look at the relation to the mean line (the flat line that adjusts based on price action. You will often see rejections of this line into trend continuation. I personally have caught perfect LH/HL bounce trades off of this indicator.
* Use the Background and other colored moving averages to help pre-determine moves based on the -3 offset value of Munich's line. This was by design not to create 'accurate' results, but to help predict momentum swings based on sharper moves in price action better than if all values lined up to the current bar.
Cheat Code's Notes:
I hope you guys find this indicator to be useful, this is most likely the best indicator that I have written. Simply for the fact it is useful on any chart, any timeframe with any setting. If you guys have any issues with it, shoot me a pm or drop a comment. Thanks!
-CheatCode1
BINANCE:BTCUSDT BITSTAMP:ETHUSD BITSTAMP:BTCUSD PEPPERSTONE:JPYX TVC:DXY TVC:NDQ AMEX:SPY
Backtesting- IndicatorFor anyone interested, Here is an example of how to put backtesting results into an Indicator. This calculates the same values as you find in the Summary Screen of the built in Strategy backtester. This will use the same result size as the standard backtester i.e. 5 minute chart grabs roughly 1 month of data, 1 minute chart grabs 1 week of data, etc... I tried to keep this as self-contained as possible so I put most of the code for the results in the bottom of the Indicator. The results stop at the last completed trade signal i.e. a Buy has a Sell to it. This is the same indicator I posted earlier with the PCT Trailing StopLoss so you will see that code in here as well. As said in my previous posting, the indicator is just a simple EMA crossover to give it something to do and I would not recommend using this indicator on its own, but instead copy the code to your own indicator if you find it useful. I also left the code in so that you can switch back to a Strategy if you want to verify the results.
Additional Notes:
- The results are within an acceptable margin of error due to the fact that the Indicator is having to calculate based on when the Buy and Sell Signal occur as opposed to when actual trades occur like in the Strategy Backtester
- I was trying to find a way to set the number of Buy Signals to use i.e. show me the results from the past 100 trades but couldn't sort out the logic. I am open to suggestions. Also keep in mind I am not a coder by profession so if you have any ideas on that front, please explain it to me as though I am a 5 year old child and provide code examples if possible :)
- I included the Strategy results in the Screen Shots so that you can see where the results line up.
Additional Additional Note:
This is not financial advice. Use at your own risk.
Too Many Cooks trend indicatorToo many Cooks in The Kitchen
You have probably heard the adage "Too many cooks spoils the broth" before. The meaning behind it is obviously that when to many people are trying to work on the same task at once it simply devolves into a fight for control and creates a mess of the situation. But is this true for indicators is the question I had and thus I made this indicator, a simple combination of 8 random trend finding indicators I assembled (A list of these indicators and their authors will be available at the bottom of this page) . Is it any good though ? In short yes, it is a decent trend finding indicator and could likely be used in your strategy in the place of your current trend finding indicator if you so wish. However much of the versatility of the individual indicators IS lost and would not be possible to get back in this big mess of a broth, so this indicator will not be the be all end all of trend indicators nor will it be a free money machine like you may be expecting looking at the list of included indicators so the adage was correct to a degree.
List of Authors and their included indicators
Trading View defaults:
MACD (Modified by me)
Stochastic RSI (Modified by me)
Lazy Bear:
Wavetrend Oscilator (Modified by me)
Traders Dynamic Index (Modified by me)
HACOLT (Modified by me)
Algokid
AK Trend
Racer8
Average Force
KivancOzbilgic
Average Sentiment Osclilator
Leading Indicator [TH]The leading indicator is helpful to identify early entries and exits (especially near support and resistance).
Green = trend up
Red = trend down
How it works:
The leading indicator calculates the difference between price and an exponential moving average.
Adding the difference creates a negative lag relative to the original function.
Negative lag is what makes this a leading indicator.
The amount of lead is exactly equal to the amount of lag of the moving average.
The leading indicator has lagging signals at turning points.
The leading indicator will always have noise gain, which gets eliminated by applying a moving average.
Modifying the alpha values will modify the amount of noise and change the sensitivity of trend change.
Example 1: Changing alpha1 from 0.25 to 0.15 lowers noise, more clearly identifies trend, and adds delay to this indicator.
Example 2: Changing alpha1 from 0.25 to 0.35 increases noise, less clearly identifies trend, BUT more quickly indicates a trend change.
Calculations:
Where:
alpha1 = 0.25
alpha2 = 0.33
Leading = 2 * (arithmetical mean of current High and Low price) + (alpha1 - 2) * (arithmetical mean of previous High and Low price) + (1 - alpha1) * (previous 'Leading' value)
Total Leading = alpha2 * leading + (1 - alpha2) * (previous 'Total Leading' value)
EMA = 0.5 * (arithmetical mean of previous High and Low price) + 0.5 * (previous 'EMA' value)
Uptrend when 'Total Leading' value is greator than the EMA
Downtrend when 'Total Leading' value is lesser than the EMA
Cybernetic Analysis for Stocks and Futures, by John Ehlers (page 231-235)
NiGapo Notes / Remember Rules / Anchored TextThis is a notes indicator.
You can customize up to 15 lines.
You can use different textsize and customize the background and font color.
You can also disable/enable or choose different border width.
Nasdaq VXN Volatility Warning IndicatorToday I am sharing with the community a volatility indicator that uses the Nasdaq VXN Volatility Index to help you or your algorithms avoid black swan events. This is a similar the indicator I published last week that uses the SP500 VIX, but this indicator uses the Nasdaq VXN and can help inform strategies on the Nasdaq index or Nasdaq derivative instruments.
Variance is most commonly used in statistics to derive standard deviation (with its square root). It does have another practical application, and that is to identify outliers in a sample of data. Variance is defined as the squared difference between a value and its mean. Calculating that squared difference means that the farther away the value is from the mean, the more the variance will grow (exponentially). This exponential difference makes outliers in the variance data more apparent.
Why does this matter?
There are assets or indices that exist in the stock market that might make us adjust our trading strategy if they are behaving in an unusual way. In some instances, we can use variance to identify that behavior and inform our strategy.
Is that really possible?
Let’s look at the relationship between VXN and the Nasdaq100 as an example. If you trade a Nasdaq index with a mean reversion strategy or algorithm, you know that they typically do best in times of volatility . These strategies essentially attempt to “call bottom” on a pullback. Their downside is that sometimes a pullback turns into a regime change, or a black swan event. The other downside is that there is no logical tight stop that actually increases their performance, so when they lose they tend to lose big.
So that begs the question, how might one quantitatively identify if this dip could turn into a regime change or black swan event?
The Nasdaq Volatility Index ( VXN ) uses options data to identify, on a large scale, what investors overall expect the market to do in the near future. The Volatility Index spikes in times of uncertainty and when investors expect the market to go down. However, during a black swan event, historically the VXN has spiked a lot harder. We can use variance here to identify if a spike in the VXN exceeds our threshold for a normal market pullback, and potentially avoid entering trades for a period of time (I.e. maybe we don’t buy that dip).
Does this actually work?
In backtesting, this cut the drawdown of my index reversion strategies in half. It also cuts out some good trades (because high investor fear isn’t always indicative of a regime change or black swan event). But, I’ll happily lose out on some good trades in exchange for half the drawdown. Lets look at some examples of periods of time that trades could have been avoided using this strategy/indicator:
Example 1 – With the Volatility Warning Indicator, the mean reversion strategy could have avoided repeatedly buying this pullback that led to this asset losing over 75% of its value:
Example 2 - June 2018 to June 2019 - With the Volatility Warning Indicator, the drawdown during this period reduces from 22% to 11%, and the overall returns increase from -8% to +3%
How do you use this indicator?
This indicator determines the variance of VXN against a long term mean. If the variance of the VXN spikes over an input threshold, the indicator goes up. The indicator will remain up for a defined period of bars/time after the variance returns below the threshold. I have included default values I’ve found to be significant for a short-term mean-reversion strategy, but your inputs might depend on your risk tolerance and strategy time-horizon. The default values are for 1hr VXN data/charts. It will pull in variance data for the VXN regardless of which chart the indicator is applied to.
Disclaimer: Open-source scripts I publish in the community are largely meant to spark ideas or be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
S&P500 VIX Volatility Warning IndicatorToday I am sharing with the community a volatility indicator that can help you or your algorithms avoid black swan events. Variance is most commonly used in statistics to derive standard deviation (with its square root). It does have another practical application, and that is to identify outliers in a sample of data. Variance in statistics is defined as the squared difference between a value and its mean. Calculating that squared difference means that the farther away the value is from the mean, the more the variance will grow (exponentially). This exponential difference makes outliers in the variance data more apparent.
Why does this matter?
There are assets or indices that exist in the stock market that might make us adjust our trading strategy if they are behaving in an unusual way. In some instances, we can use variance to identify that behavior and inform our strategy.
Is that really possible?
Let’s look at the relationship between VIX and the S&P500 as an example. If you trade an S&P500 index with a mean reversion strategy or algorithm, you know that they typically do best in times of volatility. These strategies essentially attempt to “call bottom” on a pullback. Their downside is that sometimes a pullback turns into a regime change, or a black swan event. The other downside is that there is no logical tight stop that actually increases their performance, so when they lose they tend to lose big.
So that begs the question, how might one quantitatively identify if this dip could turn into a regime change or black swan event?
The CBOE Volatility Index (VIX) uses options data to identify, on a large scale, what investors overall expect the market to do in the near future. The Volatility Index spikes in times of uncertainty and when investors expect the market to go down. However, during a black swan event, the VIX spikes a lot harder. We can use variance here to identify if a spike in the VIX exceeds our threshold for a normal market pullback, and potentially avoid entering trades for a period of time (I.e. maybe we don’t buy that dip).
Does this actually work?
In backtesting, this cut the drawdown of my index reversion strategies in half. It also cuts out some good trades (because high investor fear isn’t always indicative of a regime change or black swan event). But, I’ll happily lose out on some good trades in exchange for half the drawdown. Lets look at some examples of periods of time that trades could have been avoided using this strategy/indicator:
Example 1 – With the Volatility Warning Indicator, the mean reversion strategy could have avoided repeatedly buying this pullback that led to SPXL losing over 75% of its value:
Example 2 - June 2018 to June 2019 - With the Volatility Warning Indicator, the drawdown during this period reduces from 22% to 11%, and the overall returns increase from -8% to +3%
How do you use this indicator?
This indicator determines the variance of the VIX against a long term mean. If the variance of the VIX spikes over an input threshold, the indicator goes up. The indicator will remain up for a defined period of bars/time after the variance returns below the threshold. I have included default values I’ve found to be significant for a short-term mean-reversion strategy, but your inputs might depend on your risk tolerance and strategy time-horizon. The default values are for 1hr VIX data. It will pull in variance data for the VIX regardless of which chart the indicator is applied to.
Disclaimer : Open-source scripts I publish in the community are largely meant to spark ideas or be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
ATR Bands with vortex indicator [LM]Hello traders,
I would like to present you ATR Bands with vortex indicator. This indicator is different than my others I used not that known vortex indicator as a entry indicator, and atr bands I have used as a exit indicator.
You can see 2 set of bands with different multiplicator, first is used as first target profit, stop loss and second as a second target
There are to modes that takes, first is static mode that gives you lines with 1st, 2nd target profit and in red color stop loss
In the static mode you can also turn off extending line he price reach the level:
Second mode is tracking atr first band with candle offset of your choosing:
The trailing functionality is not working 100% but I as thinking to share it anyway and see maybe some feedback and meantime I will fix the trailing behavior.
Settings:
Genreal settings - basic setting of source for atr bands, line settings,
First atr bands setting
Second atr bands setting
Vortex setting
Cheers and Happy Xmas,
Lukas
KDJ stochastic indicatorThis is a special calculation of KDJ indicator. As you may know this is based on stochastic indicator. Stochastic indicator is a method to normalize a trending time serie (here price). the calculation of stochastic itself is a built in function in pine but it is straight forward:
In sudo code:
RSV for n days=(Cn-Ln)/(Hn-Ln)×100
In which, Cn is the closing price on the nth day; Ln is the lowest price in n days; Hn is the highest price in n days.
To calculate other indices K, D and J we use this formulas:
K = (2/3) * K + (1/3) * RSV
D = (2/3) * D + (1/3) * K
J = 3 * K - 2 * D
As you can see it is a recursive calculation. It means any value of the indices are affected by it's own previous value (and I'm passionate about recursive functions!) It may concern you that in the initial calculation there is no previous value and you are right. For the initial values we use value of 50 because it is an oscillator and the mean value is always 50 so we replace the first NAs with 50 using nz() function in pine.
After doing this calculations we reach to the smoothing section. I used simple moving averages, you may replace it with other more advanced smoothing techniqes like EMA or ALMA.
After I wrote this indicator I saw that it is a good indicator for reading divergences. As you can see I showed couple of these divergences to you on the chart. Notice that I analyzed divergence between price and J (very light green) line and not to K or D. I really appreciate any suggestion on this indicator and hope to improve it. The other ones present in the public library wasn't good and they differ a lot in the calculation and also the graphics doesn't look good.
Be free to change the parameter i saw these parameter are good to daily Bitcoin chart.






















