MNQ/NQ Rotations [Tiestobob]### Indicator Description: MNQ/NQ Rotations
TO BE USED ONLY ON THE CONTINOUS CONTRACTS NQ1! and MNQ1! It will not work on others or the forward contracts of these.
#### Overview
The MNQ/NQ Rotations indicator is designed for traders of Nasdaq futures (MNQ and NQ) to visualize key price levels where typical market rotations occur. This indicator identifies and highlights the xxx.20 and xxx.80 levels based on empirical data and trading experience, allowing traders to recognize potential support and resistance points during trading sessions.
#### Key Features
- **Timeframe Selection**: The indicator allows users to specify a timeframe for identifying breakout candles, ensuring flexibility across different trading strategies.
- **Active Trading Range**: Users can define an active trading range, focusing the analysis on specific hours when the market is most active.
- **Visual Representation**: The indicator paints horizontal lines at key price levels (xxx.20 and xxx.80), extending them across a user-defined length to aid in visual analysis.
- **Customization**: Users can customize the color of the lines to match their charting preferences.
#### Inputs
- **Timeframe (`tf`)**: Defines the timeframe to select the breakout candle (default: 1 minute).
- **Active Trading Range (`session`)**: Specifies the time range for identifying breakout candles (default: 08:00-12:00).
- **Line Color (`line_color`)**: Allows customization of the line color (default: purple).
#### Logic
1. **Session Validation**: The indicator checks if the current bar falls within the specified active trading range.
2. **Price Point Calculation**: For each candle close, the indicator calculates the nearest xxx.20 and xxx.80 levels.
3. **Line Drawing**: Horizontal lines are drawn at these key levels, extending a specified length forward to highlight potential rotation points.
#### Use Cases
- **Support and Resistance Identification**: By highlighting the xxx.20 and xxx.80 levels, traders can easily spot areas where the market is likely to reverse or consolidate.
- **Breakout Trading**: Traders can use the indicator to identify breakout levels and set appropriate entry points.
- **Risk Management**: The visual cues provided by the indicator can help traders set more effective stop-loss and take-profit levels.
#### Example
A trader using a 1-minute timeframe with an active trading range from 08:00 to 12:00 will see horizontal lines painted at the nearest xxx.20 and xxx.80 levels for each candle close during this period. These lines serve as visual markers for typical rotation points, aiding in decision-making and trade planning.
#### Conclusion
The MNQ/NQ Rotations indicator is a powerful tool for traders looking to enhance their market analysis of Nasdaq futures. By focusing on empirically derived rotation levels, this indicator provides clear visual cues for identifying key price levels, supporting more informed trading decisions.
Wyszukaj w skryptach "horizontal line"
Jobinsabu014This Pine Script code is for an advanced trading indicator that displays enhanced moving averages with buy and sell labels, trend probability, and support/resistance levels. Here’s a detailed description of its components and functionality:
### Description:
1. **Indicator Initialization**:
- The indicator is named "Enhanced Moving Averages with Buy/Sell Labels and Trend Probability" and is set to overlay on the chart.
2. **Input Parameters**:
- **Moving Averages**: Four different moving averages (short and long periods for default and enhanced) with customizable periods.
- **Probability Threshold**: Determines the threshold for trend probability.
- **Support/Resistance Lookback**: Number of bars to look back for calculating support and resistance levels.
- **Signals Valid From**: Timestamp from which the signals are considered valid.
3. **Moving Averages Calculation**:
- **Default Moving Averages**: Calculated using simple moving averages (SMA) for the specified periods.
- **Enhanced Moving Averages**: Calculated using SMAs for different specified periods.
4. **Plotting Moving Averages**:
- Plots the default and enhanced moving averages with different colors for distinction.
5. **Crossover Detection**:
- Detects when the short moving average crosses above or below the long moving average for default moving averages.
6. **Buy/Sell Signal Labels**:
- Adds "BUY" and "SELL" labels on the chart when crossovers are detected after the specified valid timestamp.
- Tracks entry prices for buy/sell signals and adds labels when the price moves +100 points.
7. **Trend Detection for Enhanced Indicator**:
- Detects uptrend or downtrend based on the enhanced moving averages.
- Calculates a simple probability of trend based on price movement and EMA.
- Determines buy and sell signals based on trend conditions and volume-based buy/sell pressure.
8. **Plot Buy/Sell Signals for Enhanced Indicator**:
- Plots buy/sell signals based on the enhanced conditions.
9. **Background Color for Trends**:
- Changes the background color to green for uptrend and red for downtrend.
10. **Trend Lines**:
- Draws imaginary trend lines for uptrend and downtrend based on enhanced moving averages.
11. **Support and Resistance Levels**:
- Calculates and plots support and resistance levels using the specified lookback period.
- Stores and plots previous support and resistance levels with dashed lines.
12. **Expected Trend Labels**:
- Adds labels indicating expected uptrend or downtrend based on buy/sell signals.
13. **Alerts**:
- Sets alert conditions for buy and sell signals, triggering alerts when these conditions are met.
14. **Demand and Supply Zones**:
- Draws and extends horizontal lines for demand (support) and supply (resistance) zones.
### Summary:
This script enhances traditional moving average crossovers by adding trend probability calculations, volume-based pressure, and support/resistance levels. It visualizes expected trends and provides comprehensive buy/sell signals with corresponding labels, background color changes, and alerts to help traders make informed decisions.
slope-velocityDescription
This Pine Script indicator, named "slope-velocity," calculates and visualizes the slope of a moving average (MA) in degrees, allowing users to observe the rate of change of the MA over time. Here's a breakdown of its components and functionality:
Inputs:
option: A dropdown menu allowing the user to select the type of moving average (SMA, EMA, DEMA).
length: An integer input for specifying the period length of the moving average.
source: The data source for the moving average calculation, defaulting to the close price.
Variable Initialization:
ma: A variable to store the moving average value, initialized as na.
Moving Average Calculation:
Depending on the selected option, the script calculates the appropriate moving average:
ta.sma(source, length) for Simple Moving Average (SMA).
ta.ema(source, length) for Exponential Moving Average (EMA).
ta.dema(source, length) for Double Exponential Moving Average (DEMA).
Slope Calculation:
slope_ma: The script calculates the slope of the moving average by subtracting the previous period's MA value from the current period's MA value (ma - ma ).
Slope Conversion to Degrees:
slope_degrees_ma: The slope is converted to degrees using the math.atan function to compute the arctangent of the slope, followed by math.todegrees to convert the result from radians to degrees. The result is rounded to the nearest integer using math.round.
Plotting Reference Lines:
Horizontal lines are plotted at specific degree values (0, 10, 20, -10, -20) to provide reference points for the slope's visualization.
Plotting the Slope:
The slope in degrees is plotted as a histogram. The color of the histogram bars is determined by the sign of the slope: green for positive slopes and red for negative slopes.
Additional Comments
The script includes some commented-out sections related to plotting acceleration and displaying labels for slope differences, which are not active in the current implementation.
The script is designed to provide a visual representation of the moving average's rate of change, making it easier to identify periods of rapid price movement and potential trend reversals.
Equal Highs and LowsDescription:
The ‘Equal Highs and Lows’ indicator is a technical analysis tool that marks identical price levels on a trading chart using the current time-frame, assisting traders in identifying potential support and resistance zones or liquidity draws. It creates a horizontal line connecting points where the price has created equal highs and lows within a specified lookback period. Unique to this tool, it maintains a clean chart by removing the line once the price surpasses the equal highs or falls below the equal lows, ensuring only the currently relevant equal highs and lows are highlighted.
Features:
Customization Options: Users can adjust the appearance of the lines (color, width, and style) to match their chart setup or preferences. Users can also choose to extend the lines marking the equal highs/lows to the right of the chart making the equal high/low levels more easier to visualize.
User-Defined Lookback Length: The number of bars to look back for finding equal highs and lows can be set by the user, allowing for flexibility in different market conditions.
How It Works:
The indicator meticulously scans the chart over a user-specified lookback duration, identifying bars with matching high or low values that have not been mitigated on the current chat timeframe, thereby constructing an index of equal values. It subsequently connects these equal values on the chart with a line. While this intuitive indicator does not forecast future market trends, it emphasizes significant price levels derived from historical data.
Usage:
Identifying Support and Resistance: The lines drawn by the indicator can be used to identify potential support and resistance zones and/or draws of liquidity, which are crucial for making informed trading decisions.
Strategy Development: Traders can incorporate the visual cues provided by the indicator into their trading strategies, using them as one of the factors for entry or exit decisions.
Originality:
This indicator presents a distinctive method for pinpointing and illustrating equal highs and lows, granting traders a crucial insight into key price levels. It stands apart from conventional indicators by offering extensive personalization and employing a novel approach to augment chart analysis. Uniquely, it retains only unmitigated equal high/low levels on the chart, automatically discarding mitigated price levels once the price has reached that level.
Conclusion:
The "Equal Highs and Lows" indicator is a practical tool for traders looking to enhance their chart analysis with visual cues of significant price levels. Its customization options and innovative approach make it a valuable addition to the trading toolkit, suitable for various trading styles and strategies.
Inside Bar Setup [as]Inside Bar Setup Indicator Description
The **Inside Bar Setup ** indicator is a powerful tool for traders to identify and visualize inside bar patterns on their charts. An inside bar pattern occurs when the current candle's high is lower than the previous candle's high, and the current candle's low is higher than the previous candle's low. This pattern can indicate a potential breakout or a continuation of the existing trend.
Key Features:
1. **Highlight Inside Bar Patterns:**
- The indicator highlights inside bar patterns with distinct colors for bullish and bearish bars. Bullish inside bars are colored with the user-defined bull bar color (default lime), and bearish inside bars are colored with the user-defined bear bar color (default maroon).
2. **Marking Mother Candle High and Low:**
- The high and low of the mother candle (the candle preceding the inside bar) are marked with horizontal lines. The high is marked with a green line, and the low is marked with a red line.
- These levels are labeled as "Range High" and "Range Low" respectively, with the labels displayed a few bars to the right for clarity. The labels have a semi-transparent background for better visibility.
3. **Target Levels:**
- The indicator calculates and plots potential target levels (T1 and T2) for both long and short positions based on user-defined multipliers of the mother candle's range.
- For long positions, T1 and T2 are plotted above the mother candle's high.
- For short positions, T1 and T2 are plotted below the mother candle's low.
- These target levels are optional and can be toggled on or off via the input settings.
4. **Customizable Inputs:**
- **Colors:**
- Bull Bar Color: Customize the color for bullish inside bars.
- Bear Bar Color: Customize the color for bearish inside bars.
- **Long Targets:**
- Show Long T1: Toggle the display of the first long target.
- Show Long T2: Toggle the display of the second long target.
- Long T1: Multiplier for the first long target above the mother candle's high.
- Long T2: Multiplier for the second long target above the mother candle's high.
- **Short Targets:**
- Show Short T1: Toggle the display of the first short target.
- Show Short T2: Toggle the display of the second short target.
- Short T1: Multiplier for the first short target below the mother candle's low.
- Short T2: Multiplier for the second short target below the mother candle's low.
5. **New Day Detection:**
- The indicator detects the start of a new day and clears the inside bar arrays, ensuring that the pattern detection is always current.
#### Usage:
- Add the indicator to your TradingView chart.
- Customize the inputs to match your trading strategy.
- Watch for highlighted inside bars to identify potential breakout opportunities.
- Use the marked range highs and lows, along with the calculated target levels, to plan your trades.
This indicator is ideal for traders looking to capitalize on inside bar patterns and their potential breakouts. It provides clear visual cues and customizable settings to enhance your trading decisions.
Note:
This indicator is based on famous 15 min inside bar strategy shared by Subashish Pani on his youtube channel Power of stocks. Please watch his videos to use this indicator for best results.
B A N K $ - Advanced Session RangesThis is a simple indicator that has been designed to aid intraday trading and has a few components;
Key Features
Session Ranges + Optimal Exit Time
Asia Pip Range
New York Midnight Open Line
Session Ranges + Optimal Exit Time
Information ℹ️
This is a visual depiction of the 3 main sessions in the markets. Asia, London & New York. The default timings are set to perfectly align with each session however the Start & End times for each session can be changed in the settings. (I've added a website on the tooltip to easily convert timezones)
I have also added a 4th session range called "Optimal Exit Time". This is statistically the most probable time window for the opposite High / Low of Day to form is within this window. It helps the trader understand when they should look to take profit.
How It Works 🔑
The indicator automatically maps on two lines for the High & Low of the range between the selected Start & End time, it also colours the background.
The individual lines & background can be toggled & customised to the traders preference.
Asia Pip Range
Information ℹ️
This displays the Asia Range in pips beneath the Asia Session Low.
How It Works 🔑
This calculates the distance between the Asia High - Asia Low in pips. It will automatically recalibrate to the timings the trader sets in the settings if they change the Start / End.
New York Midnight Open Line
Information ℹ️
This helps look for Buys beneath the line for a Bullish Expansion day 📈 & Sells above the line for a Bearish Expansion day 📉
How It Works 🔑
This adds a horizontal line to the chart that is anchored to New York Midnight Open (00:00) by default. It can be changed in the settings in required. You can also toggle on the time being shown above the line.
NUPL - Net Unrealized Profit-Loss BTC Tops/Bottoms [Logue]Net Unrealized Profit Loss (NUPL) - The NUPL measures the profit state of the bitcoin network to determine if past transfers of BTC are currently in an unrealized profit or loss state.
Values above zero indicate that the network is in overall profit, while values below zero indicate the network is in overall loss. Highly positive NUPL values indicate overvaluation of the BTC network and relatively negative NUPL values indicate an undervaluation of the BTC network.
For tops: The default setting for tops is based on decreasing "strength" of BTC tops. A decreasing linear function (trigger = slope * time + intercept) was fit to past cycle tops for this indicator and is used as the default to signal macro tops. The user can change the slope and intercept of the line by changing the slope and/or intercept factor. The user also has the option to indicate tops based on a horizontal line via a settings selection. This horizontal line default value is 73. This indicator is triggered for a top when the NUPL is above the trigger value.
For bottoms: Bottoms are displayed based on a horizontal line with a default setting of -13. The indicator is triggered for a bottom when the NUPL is below the bottom trigger value.
LMACD - Logarithmic MACD Weekly BTC Index [Logue]Logarithmic Moving Average Convergence Divergence (LMACD) Weekly Indicator - The LMACD is a momentum indicator that measures the strength of a trend using 12-period and 26-period moving averages. The weekly LMACD for this indicator is calculated by determining the difference between the log (base 10) of the 12-week and 26-week exponential moving averages. Larger positive numbers indicate a larger positive momentum.
For tops: The default setting for tops is based on decreasing "strength" of BTC tops. A decreasing linear function (trigger = slope * time + intercept) was fit to past cycle tops for this indicator and is used as the default to signal macro tops. The user can change the slope and intercept of the line by changing the slope and/or intercept factor. The user also has the option to indicate tops based on a horizontal line via a settings selection. This line default value is 0.125. This indicator is triggered for a top when the LMACD is above the trigger value.
For bottoms: Bottoms are displayed based on a horizontal line with a default setting of -0.07. The indicator is triggered for a bottom when the LMACD is below the bottom trigger value.
Xen's Flag Pattern Scalper1. Input Parameters:
FlagLength: Determines the length of the flag pattern.
TakeProfit1Ratio, takeProfit2Ratio, takeProfit3Ratio: Define the ratios for calculating
the take-profit levels relative to the entry price.
RiskRewardRatio: Specifies the risk-reward ratio for calculating the stop-loss level
relative to the entry price.
2 Flag Conditions:
BullishFlag: Checks if the current bar meets the conditions for a bullish flag pattern. It
evaluates to true if the low of the current bar is lower than the low flagLength bars
ago, and the close of the current bar is higher than the high flagLength bars ago.
BearishFlag: Checks if the current bar meets the conditions for a bearish flag pattern. It evaluates to true if the high of the current bar is higher than the high flagLength bars
ago, and the close of the current bar is lower than the low flagLength bars ago.
3. Entry Price:
EntryPrice: Calculates the entry price based on whether a bullish or bearish flag
pattern is identified. For a bullish flag, the entry price is set to the low of the current bar.
For a bearish flag, the entry price is set to the high of the current bar.
4. Stop Loss:
StopLoss: Determines the stop-loss level based on the entry price and the specified
riskRewardRatio . For a bullish flag, the stop-loss level is calculated by subtracting the
difference between the high and low of the current bar multiplied by the riskRewardRatio from the low of the current bar. For a bearish flag, the stop-loss level
is calculated similarly but added to the high of the current bar.
5. Take Profit Levels:
Three take-profit levels ( takeProfit1, takeProfit2, takeProfit3 ) are calculated based on
the entry price, stop-loss level, and specified take-profit ratios ( takeProfit1Ratio,
takeProfit2Ratio, takeProfit3Ratio ).
6. Plotting Signals and Levels:
Bullish and bearish flag patterns are plotted using triangle shapes ( shape.triangleup for
bullish and shape.triangledown for bearish) above or below the bars, respectively.
Entry, stop-loss, and take-profit levels are plotted using horizontal lines ( line.new )
with different colors and styles. Entry and stop-loss levels are labeled with "Entry" and "SL",
respectively, while take-profit levels are labeled with "TP 1", "TP 2", and "TP 3".
The colors for bullish flags are white for entry, red for stop-loss, and green for take-profit levels. For bearish flags, the colors are the same, but the labels are plotted above the bars.
7. Label Placement:
Labels for entry, stop-loss, and take-profit levels are placed a distance of 4 bars to the right
of the entry price using bar_index + 4 .
This indicator is intended to help traders identify flag patterns on price charts and visualize potential entry, stop-loss, and take-profit levels associated with these patterns.
Please use risk management and when TP1 is hit, move stoploss to breakeven .
Within Standard Deviation Bounds ProbabilityThis indicator calculates the probability of the closing price remaining within the upper and lower bounds defined by the mean and standard deviation of historical percent changes. It also plots the probability line and a horizontal line at 68%, which would be the expected probability for a normal distribution. It is designed to be used with my other indicator "Mean and Standard Deviation Lines.
Inputs:
period (Days): This defines the number of bars used to calculate the mean and standard deviation.
Calculations:
Percent change: Calculates the daily percentage change between closing prices.
Mean and standard deviation: Calculates the mean and standard deviation of the percent changes over the specified period.
Bounds: Calculates the upper and lower bounds by adding/subtracting the standard deviation from the mean, multiplied by the closing price.
Crossover tracking: Iterates through bars and counts crosses above and below the bounds.
Probability calculation: Calculates the total crossover probability as a percentage of the period.
Plotting: Plots the probability line and the horizontal line at 68%.
Limitations:
Assumes a normal distribution of price changes, which may not be accurate in real markets.
Overall:
This indicator provides a way to visualize the probability of the price staying within calculated bounds based on historical volatility. However, it's important to be aware of its limitations and interpret the results within the context of your trading strategy and risk management.
DOUBLE RSI+MA ALERTS SETUPThis is an indicator that provides two verses of relative force indices (RSI) - an RSI Rapid and an RSI Normal, but as moving media (MA) applied with an RSI Rapid for suavização.
Rapid RSI and Normal RSI:
Or RSI is a momentum indicator that mediates the speed and alteração of preço movements of an ativo. No script, we calculate the RSI variations:
O RSI Rápido, com um período configurável que por padrão é but curto (5 períodos), para reactor but quickly to these mudanças no preço.
Or RSI Normal, with a configured period, but with a maximum value (14 periods), proportionate to an analysis but correct.
Media Móvel do RSI Rápido:
We have a simple mobile media (SMA) application with RSI Rapido, using the same number of times as RSI to monitor variations and facilitate viewing of the direction of the trend.
Levels of Overbought and Oversold:
These are the levels of overbought (sobrevendido) and oversold (sobrecomprado). Therefore, the overbought level is set at 80 and the overbought level is 20, depending on the classic RSI settings.
Alert Conditions:
Criamos alert conditions to inform you when the RSI of each type is ultrapassed or they are not defined as overbought and oversold. Assim, we can be notified of potential entry points or conditions based on these extreme market conditions. These messages are personalized to ensure that you quickly identify when the RSI has disappeared or alerted you if it is an overbought or oversold condition.
Visualization Graphic:
The indicator plots as RSI Rapid and RSI Normal lines not graphically for visual analysis, but with horizontal lines indicating the level of overbought and oversold. A cor dessas linehas éjustável para clareza.
Informative Table:
The tab is added to the lower side of the graphic fornecendo values at the real time of the RSI Fast as the RSI Normal, making it easier to visualize quickly and to compare unless it is necessary to print directly for the graphic.
This script has a powerful ferrament for operators that provides integrated analysis of RSI into its strategies, offering flexibility to monitor the dynamics of the preço and different tempo scales. Personal alerts are particularly important to be aware of marketing conditions without the need for constant monitoring. Algum additional functionality that you find useful or extra personalization that you want?
ka66: Enhanced MACDThis is a more configurable MACD:
Allows various moving averages (EMA, SMA, Hull, WMA) instead of just EMA.
Better color coding for MACD line, rising vs. falling
Optional Normalised Scale; my pet peeve with standard MACD, that we can't really easily compare it across instruments. Taking a page from the ATR Percent indicator, we allow for normalising the MACD and Signal lines relative to Close: MACD / Close x 100. Ditto for the Signal line. This is really useful for reversal type scenarios, and to avoid ranging markets.
Threshold horizontal line markers to further support the use of the Normalised Scale. Simply configure this via the Style Settings.
Inside Bars/Candles [CodeCraftedTrading]This Pine Script indicator is designed to identify and visually represent inside bars or candles. Here's a breakdown of its features and functionality:
1. Inputs:
insideCandlesColor: Color of the inside bars or candles.
highColor: Color of the horizontal line representing the high of the inside bar.
lowColor: Color of the horizontal line representing the low of the inside bar.
showHighLowLabel: Option to display labels for the high and low prices.
2. Logic:
The script checks for the conditions of an inside bar:
high < high and low > low
If an inside bar is detected and is not already in the range:
* Stores the high and low prices of the previous bar.
* Records the parent bar index and sets the broken flag to false.
If the current bar's high exceeds the stored high or the low falls below the stored low, the broken flag is set to true.
If the current bar is within the stored high and low range, it is considered in-range.
The script then dynamically plots horizontal lines at the high and low prices of the parent bar until the inside bar is broken.
3. Visualization:
The inside bars are colored based on the insideCandlesColor.
Horizontal lines are drawn at the high and low prices of the parent bar within the inside bar.
Optional labels display the rounded values of the high and low prices.
4. Usage:
Apply the script to your chart.
Adjust the input parameters according to your preferences.
The indicator will highlight inside bars with colored bars and draw lines representing the high and low prices. Labels are optional.
5. Note:
Inside bars are bars where the entire price range is within the high and low of the previous bar.
The script uses historical bar information and visualizes the inside bars dynamically on the chart.
Max Rise / Max DrawdownThis Pine Script indicator, titled 'Max Rise / Max Drawdown,' calculates and plots the maximum rise and maximum drawdown based on a specified length. It computes the percentage increase from a past low and decrease from a past high over the defined period, visually presenting this data on the chart. The indicator displays two lines: one for the maximum rise (colored lime) and another for the maximum drawdown (colored red), while also indicating thresholds at +0.01 and -0.01 with green and maroon horizontal lines respectively.
MADALGO's Fear and Greed OscillatorThe Fear and Greed Oscillator is a dynamic tool designed to gauge market sentiment by analyzing various components such as volatility, momentum, and volume. This indicator synthesizes multiple metrics to provide a singular view of market emotion, oscillating between fear and greed.
🔷 Calculation -
The oscillator integrates the following components, each normalized and weighted to contribute equally:
ATR (Average True Range): Represents market volatility.
MACD (Moving Average Convergence Divergence): Captures market momentum.
RSI (Relative Strength Index): Provides insights into overbought or oversold conditions.
Volume: Reflects market participation levels.
Each component is first normalized to ensure a balanced impact and then averaged to create the final oscillator value.
🔷 Color Coding -
The oscillator's plot changes color based on its value, representing market sentiment:
Green: Indicates a leaning towards greed.
Red: Suggests a leaning towards fear.
The intensity of the color represents the strength of the sentiment.
🔷 Usage -
This indicator is valuable for traders looking to understand market sentiment. It works best when combined with other forms of analysis, such as fundamental or other technical indicators, to form a comprehensive trading strategy.
🔷 Signal Lines -
Two horizontal lines represent extreme conditions:
A line for Extreme Fear.
Another for Extreme Greed.
These lines help identify when the market sentiment is at potentially unsustainable levels.
🔷 Customization -
The Fear and Greed Oscillator is designed with flexibility in mind, allowing users to adjust several parameters to match their specific analysis requirements. Understanding and utilizing these customization options can significantly enhance the indicator's relevance and effectiveness in various market conditions.
1. Length Parameters:
ATR and RSI Length: This input determines the period over which the Average True Range (ATR) and the Relative Strength Index (RSI) are calculated. Adjusting this length can affect the sensitivity of the oscillator to recent market movements. A shorter length makes the oscillator more responsive to recent changes, while a longer length smoothens it, reducing sensitivity to short-term fluctuations.
MACD Parameters: These include the Fast Length, Slow Length, and Signal Smoothing. By adjusting these, users can control how the Moving Average Convergence Divergence (MACD) component reacts to price movements. This customization is crucial for aligning the oscillator with different trading strategies, whether short-term or long-term focused.
Volume Length: This parameter sets the period for the moving average and standard deviation calculations of the volume component. Altering this length allows the oscillator to either emphasize recent volume changes or consider a broader historical context.
2. Weight Adjustments:
Component Weights: Each component (ATR, MACD, RSI, Volume) has an associated weight factor. These weights determine the relative influence of each component on the final oscillator value. Users can increase the weight of a component to give it more influence or decrease it to lessen its impact. This feature is particularly beneficial for traders who have a preference or insight into which market aspects are more indicative of fear or greed at given times.
Balancing the Components: The key to effective customization lies in balancing these weights to reflect the user's market perspective and trading style. For instance, a trader focusing on volatility might increase the weight of the ATR, while one interested in momentum might prioritize the MACD and RSI weights.
3. Color and Signal Line Customization:
Color Intensity: The intensity of the color gradient of the oscillator line can be a visual aid in quickly identifying market sentiment. Users can experiment with the colorValue calculation within the script to adjust how rapidly the color changes with the oscillator values
Extreme Levels: The extreme fear and greed levels, represented by horizontal lines, are customizable. Users can set these levels based on historical data analysis or personal risk tolerance. These lines act as alerts for potentially overextended market conditions.
🔷 Limitations -
As with any technical tool, the Fear and Greed Oscillator should not be used in isolation. It does not predict market direction but rather gauges the prevailing market emotion. Its effectiveness may vary across different markets and timeframes.
🔷 Conclusion -
The Fear and Greed Oscillator offers a unique perspective on market sentiment, encapsulating various aspects of market behavior into a single indicator. It serves as a versatile tool for traders aiming to understand the emotional undercurrents of the market.
🔷 Risk Disclaimer -
Financial trading involves significant risk. The value of investments can fluctuate, and past performance is not indicative of future results. This indicator is for informational purposes and should not be construed as financial advice. Always consider your personal circumstances and seek independent advice before making financial decisions.
Dope DPOThe "Dope DPO" (DDPO) indicator is a technical analysis tool designed for traders to identify trends and potential trend changes in the market. It's based on the concept of the Detrended Price Oscillator (DPO), but with several enhancements for greater versatility and user customization.
Key Features of the Dope DPO Indicator:
Averaging Multiple Periods: The indicator averages the DPO calculations over ten different time periods. This averaging helps in smoothing out the volatility and providing a more comprehensive view of the market trend.
Customizable Smoothing: Users can choose the length of the smoothing as well as the type of moving average (SMA, EMA, WMA, or RMA) for smoothing. This allows for flexibility in how the indicator responds to price changes.
Trend Change Detection: The indicator includes a feature to detect changes in the market trend. It does this by comparing the current value of the smoothed DPO to its value a specified number of bars back. This helps in identifying potential reversals or shifts in momentum.
Dynamic Color Coding: The indicator uses color coding (green and red) to visually represent the trend direction. If the smoothed DPO is trending upwards compared to a previous value, the color will be green, indicating bullish momentum. Conversely, a red color signifies bearish momentum.
Horizontal Reference Lines: It includes horizontal lines at specific levels (overbought, zero, and oversold) to provide reference points for interpreting the indicator's values.
Usage:
Traders can use the Dope DPO to gauge the overall market trend and to look for potential entry and exit points based on trend changes.
The color-coded histogram makes it easy to spot when the trend might be reversing, which can be particularly useful in conjunction with other technical analysis tools.
The flexibility in choosing the smoothing method and length allows traders to tailor the indicator to different trading styles and timeframes.
Adaptive SMI Ergodic StrategyThe Adaptive SMI Ergodic Strategy aims to capture the momentum and direction of a financial asset by leveraging the Stochastic Momentum Index Indicator (SMI) in an ergodic form. The strategy uses two lengths for the SMI, a shorter and a longer one, and an Exponential Moving Average (EMA) to serve as the signal line. Additionally, the strategy incorporates customizable overbought and oversold thresholds to improve the probability of successful trade execution.
How It Works:
Long Entry: A long position is taken when the ergodic SMI crosses over the EMA signal line, and both the SMI and EMA are below the oversold threshold.
Short Entry: A short position is initiated when the ergodic SMI crosses under the EMA signal line, and both the SMI and EMA are above the overbought threshold.
The strategy plots the SMI in yellow and the EMA signal line in purple. Horizontal lines indicate the overbought and oversold thresholds, and a colored background helps in visually identifying these zones.
Parameters:
Long Length: The length of the long EMA in SMI calculation.
Short Length: The length of the short EMA in SMI calculation.
Signal Line Length: The length for the EMA serving as the signal line.
Oversold: Customizable threshold for the oversold condition.
Overbought: Customizable threshold for the overbought condition.
Historical Context: The SMI Indicator
The Stochastic Momentum Index (SMI) was developed by William Blau in the early 1990s as an enhancement to traditional stochastic oscillators. The SMI provides a range of values like a traditional stochastic, but it differs in that it calculates the distance of the current close relative to the median of the high/low range, as opposed to the close relative to the low. As a result, the SMI is less erratic and more responsive, offering a clearer picture of market trends.
In recent years, the SMI has been adapted into ergodic forms to facilitate smoother data analysis, reduce lag, and improve trading accuracy. The Adaptive SMI Ergodic Strategy leverages these modern enhancements to offer a more robust, customizable trading strategy that aligns with various market conditions.
Stocks Seasonality GaugeThe Stocks Seasonality Gauge (SSG) Indicator is meticulously engineered to assist traders in discerning the historical and current performance trends of a particular stock, leveraging a blend of historical data analysis and Exponential Moving Average (EMA) computations. Through the lens of seasonality and recent price movements, this indicator provides a rich tableau of insights to anticipate potential future performance based on past behaviors.
Key Features:
Historical Performance Analysis:
The SSG assesses the historical performance of a stock, focusing on monthly returns over a specified number of lookback years. It calculates the average performance of the current month over these years, as well as the average monthly performance for the current year to date.
Recent Price Movement Evaluation:
Delves into the recent price movements by calculating the percentage price change over specific periods (21 days and 7 days), offering a glimpse into the short-term momentum of the stock.
Exponential Moving Average (EMA) Integration:
An EMA is constructed based on the recent price changes, providing a smoothed outlook on the stock's current month's performance. This EMA can be customized through the input parameter for its length, allowing for adaptation to various trading scenarios.
Visualization:
The indicator plots three crucial lines:
The average performance of the current month over the lookback years.
The average monthly performance for the current year to date.
The EMA of the current month's performance.
A horizontal line at 0% change is also plotted as a reference point to easily gauge positive or negative performances.
User-Defined Inputs:
Traders can define the number of lookback years and the EMA length for the current month's performance, offering a degree of customization to suit individual preferences and trading strategies.
Plotting:
The visualization is designed to provide a clear, color-coded representation of the historical and current performance metrics, aiding in the rapid assimilation of information and decision-making.
The Stocks Seasonality Gauge (SSG) is a sophisticated indicator for traders keen on harnessing the power of historical performance and recent price momentum to make informed trading decisions. Its blend of seasonality analysis and EMA application makes it a robust tool for anticipating potential market behaviors and aligning trading strategies accordingly.
Weighted Oscillator Convergence DivergenceThe Weighted Oscillator Convergence Divergence (WOCD) aims to help traders identify potential trend reversals or momentum shifts in financial markets by calculating and visualizing the difference between a smoothed oscillator (WMA) value and its exponential moving average (EMA) and simple moving average (SMA) counterparts. This indicator is particularly useful for traders who want an alternative perspective on price momentum and divergence.
Key Features:
Inputs:
Length: The user can specify the number of bars to consider for calculations (default is 9).
Smoothing 1: Defines the smoothing factor for the first smoothed value (default is 5).
Smoothing 2: Specifies the smoothing factor for the second smoothed value (default is 7).
Ma Type: There are three types of moving averages you can choose (Wilder, non-lag, Weighted is by default).
Color Settings: Users can customize the indicator's colors for various elements, such as length, smoothing values, and different sections of the histogram.
Calculation:
WOCD calculates the raw oscillator value by subtracting the close price from a 3-period High, Low, Close (HLC3) moving average.
It then applies smoothing to this raw oscillator value using two different methods: exponential moving average (EMA) and simple moving average (SMA) with user-defined smoothing periods.
Histogram Plot:
The indicator plots a histogram based on the difference between the smoothed oscillator and the first smoothed value.
When the histogram is above zero and rising, it is colored according to the "Above Grow" color setting. When it's above zero and falling, it uses the "Fall" color for visualization.
Similarly, when the histogram is below zero and rising, it is colored according to the "Below Grow" color setting, and when it's below zero and falling, it uses the "Fall" color.
Oscillator and Smoothed Values:
The indicator also plots the smoothed oscillator, smoothed value 1 (EMA-based), and smoothed value 2 (SMA-based) on the chart.
Zero Line:
A horizontal line at zero is drawn on the chart for reference.
How to Use the WOCD Indicator:
Trend Identification: Observe the histogram's direction and color. A rising histogram above zero may indicate bullish momentum, while a falling histogram below zero could signal bearish momentum.
Divergence: Look for divergences between price action and the histogram. When the histogram and price move in opposite directions, it can be a potential reversal signal.
Crossovers: Pay attention to crossovers between the smoothed oscillator and its smoothed counterparts (EMA and SMA). These crossovers can indicate changes in trend strength or direction.
Zero Line: The zero line can act as a reference point. Positive histogram values suggest bullish sentiment, while negative values indicate bearish sentiment.
Comparison to MACD Indicator:
The WOCD indicator shares some similarities with the Moving Average Convergence Divergence (MACD) indicator but also has distinct differences:
Similarities:
Both WOCD and MACD are momentum oscillators designed to identify potential trend reversals and divergences.
They use moving averages (EMA in the case of MACD) to smooth the raw oscillator values.
Both indicators provide histogram representations of the difference between the oscillator and its smoothed counterpart.
Differences:
WOCD uses a 3-period High, Low, Close (HLC3) moving average to calculate the raw oscillator value, whereas MACD uses the difference between two exponential moving averages (usually 12-period and 26-period EMAs).
The smoothing in WOCD employs both EMA and SMA, while MACD exclusively uses EMA.
WOCD allows users to customize colors for various elements, enhancing visual clarity.
YinYang Bar ForecastOverview:
YinYang Bar Forecast is a prediction indicator. It predicts the movement for High, Low, Open and Close for up to 13 bars into the future. We created this Indicator as we felt the TradingView community could benefit from a bar forecast as there wasn’t any currently available.
Our YinYang Bar Forecast is something we plan on continuously working on to better improve it, but at its current state it is still very useful and decently accurate. It features many calculations to derive what it thinks the future bars will hold. Let’s discuss some of the logic behind it:
Each bar has its High, Low, Open and Close calculated individually for highest accuracy. Within these calculations we first check which bar it is we are calculating and base our span back length that we are getting our data from based on the bar index we are generating. This helps us get a Moving Average for this bar index.
We take this MA and we apply our Custom Volume Filter calculation on it, which is essentially us dividing the current bars volume over the average volume in the last ‘Filtered Length’ (Setting) length. We take this decimal and multiply it on our MA and smooth it out with a VWMA.
We take the new Volume Filtered MA and apply a RSI Filter calculation on it. RSI Filter is where we take the difference between the high and low of this bar and we multiply it with an RSI calculation using our Volume Filtered MA. We take the result of that multiplication and either add or subtract it from the Volume Filtered MA based on if close > open. This makes our RSI Filtered MA.
Next, we do an EMA Strength Calculation which is where we check if close > ema(close, ‘EMA Averaged Length’) (Setting). Based on this condition we assign a multiplier that is applied to our RSI Filtered MA. We divide by how many bars we are predicting and add a bit to each predictive bar so that the further we go into the future the stronger the strength is.
Next we check RSI and RSI MA levels and apply multiplications based on its RSI levels and if it is greater than or less than the MA. Also it is affected by if the RSI is <= 30 and >= 70.
Finally we check the MFI and MFI MA levels and like RSI we apply multiplications based on its MFI levels and if it is greater than or less than the MA. It is also affected by if the MFI is <= 30 and >= 70.
Please note the way we calculate this may change in the future, this is just currently what we deemed works best for forecasting the future bars. Also note this script uses MA calculations out of scope for efficiency but there is potential for inconsistencies.
Innately it’s main use is the projection it provides. It only draws the bars for realtime bars and not historical ones, so the best way to backtest it is with TradingView’s Replay Tool.
Well, enough of the logic behind it, let's get to understanding how to use it:
Tutorial:
So unfortunately we aren’t able to plot legit bars/candles into the future so we’ve had to do a bit of a work around using lines and fills. As you can see here we have 4 Lines and 3 Zones:
Lines:
Green: Represents the High
Orange: Represents the Open
Teal: Represents the Close
Red: Represents the Low
Zones:
High Zone: This zone is from either Open or Close to the High and is ALWAYS filled with Green.
Open/Close Zone: This zone is from the Open to the Close and is filled with either Green or Red based on if it's greater than the previous bar (real or forecasted).
Low Zone: This zone is from either Open or Close to the Low and is ALWAYS filled with Red.
As you can see generally the Forecasted bars are generally within strong pivot locations and are a good estimation of what will likely go on. Please note, the WHOLE structure of the prediction can change based on the current bars movements and the way it affects the calculations.
Let's look 1 bar back from the current bar just so we can see what it used to Forecast:
As you can see it has changed quite a bit from the previous bar, but if you look close, we drew horizontal lines around where its projecting the next bar to be (our current realtime bar), if we go back to the live chart:
Its projections were pretty close for the high and low. Generally, right now at least, it does a much better job at predicting the high and low than it does the open and close, however we will do our best to fine tune that in future updates.
Remember, this indicator is not meant to base your trades on, but rather give you a Forecast towards the general direction of the next few bars. Somewhat like weather, the farther the bar (or day for weather), the harder it is to predict. For this reason we recommend you focusing on the first few bars as they are more accurate, but review the further ones as they may help show the trend and the way that pair will move.
We will conclude this tutorial here, hopefully this Predictive Indicator can be of some help and use to you. If you have any questions, comments, ideas or concerns please let us know.
Settings:
Forecast Length: How many bars should we predict into the Future? Max 13
Each Bar Length Multiplier: For each new Forecast bar, how many more bars are averaged? Min 2
VWMA Averaged Length: All Forecast bars are put into a VWMA, what length should we use?
EMA Averaged Length: All Forecast bars are put into a EMA, what length should we use?
Filtered Length: What length should we use for Filtered Volume and RSI?
EMA Strength Length: What length should we use for the EMA Strength
HAPPY TRADING!
W and M Pattern Indicator- SwaGThis is a TradingView indicator script that identifies potential buy and sell signals based on ‘W’ and ‘M’ patterns in the Relative Strength Index (RSI). It provides visual alerts and draws horizontal lines to indicate potential trade entry points.
User Manual:
Inputs: The script takes two inputs - an upper limit and a lower limit. The default values are 70 and 40, respectively.
RSI Calculation: The script calculates the RSI based on the closing prices of the last 14 periods.
Pattern Identification: It identifies ‘W’ patterns when the RSI makes a higher low within the lower limit, and ‘M’ patterns when the RSI makes a lower high within the upper limit.
Visual Alerts: The script plots these patterns on the chart. ‘W’ patterns are marked with small green triangles below the bars, and ‘M’ patterns are marked with small red triangles above the bars.
Trade Entry Points: A horizontal line is drawn at the high or low of the candle to represent potential trade entry points. The line starts from one bar to the left and extends 10 bars to the right.
Trading Strategy:
For investing, use a weekly timeframe.
For swing trading, use a daily timeframe.
For intraday trading, use a 5 or 15-minute timeframe. Only consider sell-side signals for intraday trading.
Take a buy position if the high breaks above the green line or sell if the low breaks below the red line.
Use recent signals only and avoid signals that are too old.
Swing highs or lows will be your stop-loss level.
Always think about your stop-loss before entering a trade, not your target.
Avoid trades with a large stop-loss.
Remember, this script is a tool to aid in your trading decisions. Always test your strategies thoroughly before live trading. Happy trading! 😊
Composite Momentum IndicatorComposite Momentum Indicator" combines the signals from several oscillators, including Stochastic, RSI, Ultimate Oscillator, and Commodity Channel Index (CCI) by averaging the standardized values (Z-Scores). Since it is a Z-Score based indicators the values will be typically be bound between +3 and -3 oscillating around 0. Here's a summary of the code:
Input Parameters: Users can customize the look-back period and set threshold values for overbought and oversold conditions. They can also choose which oscillators to include in the composite calculation.
Oscillator Calculations: The code calculates four separate oscillators - Stochastic, RSI, Ultimate Oscillator, and CCI - each measuring different aspects of market momentum.
Z-Scores Calculation: For each oscillator, the code calculates a Z-Score, which normalizes the oscillator's values based on its historical standard deviation and mean. This allows for a consistent comparison of oscillator values across different timeframes.
Composite Z-Score: The code aggregates the Z-Scores from the selected oscillators, taking into account user preferences (whether to include each oscillator). It then calculates an average Z-Score to create the "Composite Momentum Oscillator."
Conditional Color Coding: The composite oscillator is color-coded based on its average Z-Score value. It turns green when it's above the overbought threshold, red when it's below the oversold threshold, and blue when it's within the specified range.
Horizontal Lines: The code plots horizontal lines at key levels, including 0, ±3, ±2, and ±1, to help users identify important momentum levels.
Gradient Fills: It adds gradient fills above the overbought threshold and below the oversold threshold to visually highlight extreme momentum conditions.
Combining the Stochastic, RSI, Ultimate Oscillator, and Commodity Channel Index (CCI) into one composite indicator offers several advantages for traders and technical analysts:
Comprehensive Insight: Each of these oscillators measures different aspects of market momentum and price action. Combining them into one indicator provides a more comprehensive view of the market's behavior, as it takes into account various dimensions of momentum simultaneously.
Reduced Noise: Standalone oscillators can generate conflicting signals and produce noisy readings, especially during choppy market conditions. A composite indicator smoothes out these discrepancies by averaging the signals from multiple indicators, potentially reducing false signals.
Confirmation and Divergence: By combining multiple oscillators, traders can seek confirmation or divergence signals. When multiple oscillators align in the same direction, it can strengthen a trading signal. Conversely, divergence between the oscillators can warn of potential reversals or weakening trends.
Customization: Traders can tailor the composite indicator to their specific trading strategies and preferences. They have the flexibility to include or exclude specific oscillators, adjust look-back periods, and set threshold levels. This adaptability allows for a more personalized approach to technical analysis.
Clarity and Efficiency: Rather than cluttering the chart with multiple individual oscillators, a composite indicator condenses the information into a single plot. This enhances the clarity of the chart and makes it easier for traders to quickly interpret market conditions.
Overbought/Oversold Identification: Combining these oscillators can improve the identification of overbought and oversold conditions. It reduces the likelihood of false signals since multiple indicators must align to trigger these extreme conditions.
Educational Tool: For novice traders and analysts, a composite indicator can serve as an educational tool by demonstrating how different oscillators interact and influence each other's signals. It allows users to learn about multiple technical indicators in one glance.
Efficient Use of Screen Space: A single composite indicator occupies less screen space compared to multiple separate indicators. This is especially beneficial when analyzing multiple markets or timeframes simultaneously.
Holistic Approach: Instead of relying on a single indicator, a composite approach encourages a more holistic assessment of market conditions. Traders can consider a broader range of factors before making trading decisions.
Increased Confidence: A composite indicator can boost traders' confidence in their decisions. When multiple reliable indicators align, it can provide a stronger basis for taking action in the market.
In summary, combining the Stochastic, RSI, Ultimate Oscillator, and CCI into one composite indicator enhances the depth and reliability of technical analysis. It simplifies the decision-making process, reduces noise, and offers a more complete picture of market momentum, ultimately helping traders make more informed and well-rounded trading decisions.
* Feel free to compare against individual oscillatiors*
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
