Effective Volume (ADV) v3Effective Volume (ADV) v3: Enhanced Accumulation/Distribution Analysis Tool
This indicator is an updated version of the original script by cI8DH, now upgraded to Pine Script v5 with added functionality, including the Volume Multiple feature. The tool is designed for analyzing Accumulation/Distribution (A/D) volume, referred to here as "Effective Volume," which represents the volume impact in alignment with price direction, providing insights into bullish or bearish trends through volume.
Accumulation/Distribution Volume Analysis : The script calculates and visualizes Effective Volume (ADV), helping traders assess volume strength in relation to price action. By factoring in bullish or bearish alignment, Effective Volume highlights points where volume strongly supports price movements.
Volume Multiple Feature for Volume Multiplication : The Volume Multiple setting (default value 2) allows you to set a multiplier to identify bars where Effective Volume exceeds the previous bar’s volume by a specified factor. This feature aids in pinpointing significant shifts in volume intensity, often associated with potential trend changes.
Customizable Aggregation Types : Users can choose from three volume aggregation types:
Simple - Standard SMA (Simple Moving Average) for averaging Effective Volume
Smoothed - RMA (Recursive Moving Average) for a less volatile, smoother line
Cumulative - Accumulated Effective Volume for ongoing trend analysis
Volume Divisor : The “Divide Vol by” setting (default 1 million) scales down the Effective Volume value for easier readability. This allows Effective Volume data to be aligned with the scale of the price chart.
Visualization Elements
Effective Volume Columns : The Effective Volume bar plot changes color based on volume direction:
Green Bars : Bullish Effective Volume (volume aligns with price movement upwards)
Red Bars : Bearish Effective Volume (volume aligns with price movement downwards)
Moving Average Lines :
Volume Moving Average - A gray line representing the moving average of total volume.
A/D Moving Average - A blue line showing the moving average of Accumulation/Distribution (A/D) Effective Volume.
High ADV Indicator : A “^” symbol appears on bars where the Effective Volume meets or exceeds the Volume Multiple threshold, highlighting bars with significant volume increase.
How to Use
Analyze Accumulation/Distribution Trends : Use Effective Volume to observe if bullish or bearish volume aligns with price direction, offering insights into the strength and sustainability of trends.
Identify Volume Multipliers with Volume Multiple : Adjust Volume Multiple to track when Effective Volume has notably increased, signaling potential shifts or strengthening trends.
Adjust Volume Display : Use the volume divisor setting to scale Effective Volume for clarity, especially when viewing alongside price data on higher timeframes.
With customizable parameters, this script provides a flexible, enhanced perspective on Effective Volume for traders analyzing volume-based trends and reversals.
Indicators and strategies
FMS Suite [KFB Quant]FMS Suite
Overview
The FMS Suite is a powerful and adaptive trend and momentum analysis tool that leverages multiple technical indicators to deliver a comprehensive signal for market direction. This suite combines the strengths of the Aroon, DMI, RSI, Supertrend, and Trix indicators, offering traders a well-rounded perspective on market trends.
How It Works
The FMS Suite integrates five essential components to assess market behavior:
Aroon Indicator : Detects trend strength and direction by analyzing the frequency of recent highs and lows over multiple timeframes. Directional Movement Index (DMI) : Measures the direction and strength of trends, with an ADX component for better trend assessment. Relative Strength Index (RSI) : Evaluates market momentum by indicating overbought or oversold conditions, with signals derived from the 50-line. Supertrend : Utilizes ATR-based volatility measures to establish dynamic support and resistance levels, signaling potential trend changes. Trix : A triple-smoothed EMA oscillator that highlights trend reversals using rate-of-change dynamics.
Each component is calculated across three separate timeframes (fast, medium, and slow), which are then averaged to produce a final FMS Signal . Users can also apply signal smoothing to reduce noise and enhance clarity.
Key Features
Customizable Parameters : Adjust the lengths for each component (fast, medium, slow) to optimize the indicator's responsiveness to different markets. Signal Smoothing Options : Select from various smoothing methods, including SMA, EMA, DEMA, and WMA, to fine-tune the FMS signal. Visual Representation : The FMS Suite plots a histogram representing the raw signal and a smoother line for clearer trend visualization. The background color shifts dynamically to indicate long, short, or neutral conditions. Threshold-Based Alerts : Set your own long and short thresholds, tailoring the indicator to your trading strategy and market outlook. Informative Table Display : An integrated table provides an at-a-glance summary of the current FMS and smoothed FMS signals, along with their respective scores and market state.
How to Use
Trend Confirmation : Utilize the FMS histogram and smoothed signal to validate or challenge existing trend assumptions. Trade Entries and Exits : Identify potential buy (long) or sell (short) signals based on the relationship between the FMS signal and predefined thresholds. Strategy Customization : Fine-tune the indicator settings to align with your trading style, whether it’s short-term scalping or long-term trend following.
Important Considerations
Not Predictive : The FMS Suite does not predict future price movements and should be used in conjunction with other analysis methods. It is based on historical price data, and past performance is not indicative of future results. Settings and Backtesting : Experiment with different lengths and smoothing techniques to optimize performance for specific instruments and market conditions. Always backtest thoroughly.
Disclaimer: This tool is provided for informational and educational purposes only and should not be considered as financial advice. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions.
Salman Indicator: Multi-Purpose Price ActionSalman Indicator: Multi-Purpose Price Action Tool for Pin Bars, Breakouts, and VWAP Anchoring
This indicator provides a comprehensive suite of price action insights, designed for active traders looking to identify key market structures and potential reversals. The script incorporates a Quarterly VWAP for trend bias, marks pin bars for possible reversal points, highlights outside bars for volatility signals, and indicates simple breakouts and pivot-level breaks. Customizable settings allow for flexibility in various trading styles, with default settings optimized for daily charts.
Outside Bars : Represented by an ⤬ symbol on the chart, these indicate bars where the current high is greater than the previous bar’s high, and the low is lower than the previous bar’s low, signaling high volatility and potential market reversals.
Pin Bars : Denoted by a small dot at the top or bottom of a candle’s wick, these are crucial signals of potential reversal areas. Pin bars are identified based on the percentage length of their shadows, with adjustable strictness in settings.
Quarterly VWAP : The light blue line on the chart represents the VWAP (Volume-Weighted Average Price), which is anchored to the Quarterly period by default. The VWAP acts as a directional bias filter, helping you to determine underlying market trends. This period, source, and offset are fully adjustable in the script’s settings.
Simple Breaks : Hollow candles on the chart indicate "simple breaks," defined when the current bar closes above the previous high or below the previous low. This is an effective way to highlight directional momentum in the market.
Bonus Pivot Breaks : The tilde symbol ~ appears when the price closes above or below prior pivot high/low levels, helping traders spot significant breakout or breakdown points relative to recent pivots.
Alerts
Simple Breaks : Alerts you when a breakout occurs beyond the previous bar’s high or low. Pin Bars : Notifies you of potential reversal points as indicated by bullish or bearish pin bars. Outside Bars : Triggers an alert whenever an outside bar is detected, indicating possible volatility changes.
How to Use
VWAP for Trend Bias : Use the Quarterly VWAP line to gauge overall market trend, with settings that allow adjustment to daily, weekly, monthly, or even larger time frames.
Pin Bars for Reversal Potential : Look for the dot markers on candle wicks, where the strictness of the pin bar detection can be adjusted via settings to match your trading preference.
Simple and Pivot Breaks for Momentum : Watch for hollow candles and the tilde symbol ~ as indicators of potential breakout momentum and pivot break levels, respectively.
This script can serve traders on multiple timeframes, from daily to weekly and beyond. The flexible configuration allows for adjustments in VWAP anchoring and pin bar criteria, providing a tailored fit for individual trading strategies.
Moving Average Cross with RSI Confirmation and TargetsMoving Average Cross with RSI Confirmation and Targets
RSI & Impulse MACD Buy/Sell Signal//@version=5
indicator("RSI & Impulse MACD Buy/Sell Signal", overlay=true)
// Define RSI settings
rsiPeriod = 14
rsiSource = close
rsi = ta.rsi(rsiSource, rsiPeriod)
// Define MACD settings
macdFastLength = 12
macdSlowLength = 26
macdSignalSmoothing = 9
= ta.macd(close, macdFastLength, macdSlowLength, macdSignalSmoothing)
// Detect MACD crossing above and below zero
macdAboveZero = ta.crossover(macdLine, 0)
macdBelowZero = ta.crossunder(macdLine, 0)
// Function to check for RSI bullish divergence
isBullishDivergence(rsiSource, rsi) =>
// Find the lowest low of the last 5 bars
low1 = ta.valuewhen(low == ta.lowest(low, 5), low, 0)
low2 = ta.valuewhen(low == ta.lowest(low, 5), low, 1)
// Find corresponding RSI values at those lows
rsi1 = ta.valuewhen(low == ta.lowest(low, 5), rsi, 0)
rsi2 = ta.valuewhen(low == ta.lowest(low, 5), rsi, 1)
// Check if we have a bullish divergence: price makes a lower low, and RSI makes a higher low
priceDivergence = (low1 < low2) and (rsi1 > rsi2)
priceDivergence
// Function to check for RSI bearish divergence
isBearishDivergence(rsiSource, rsi) =>
// Find the highest high of the last 5 bars
high1 = ta.valuewhen(high == ta.highest(high, 5), high, 0)
high2 = ta.valuewhen(high == ta.highest(high, 5), high, 1)
// Find corresponding RSI values at those highs
rsi1 = ta.valuewhen(high == ta.highest(high, 5), rsi, 0)
rsi2 = ta.valuewhen(high == ta.highest(high, 5), rsi, 1)
// Check if we have a bearish divergence: price makes a higher high, and RSI makes a lower high
priceDivergence = (high1 > high2) and (rsi1 < rsi2)
priceDivergence
// Check for bullish and bearish divergences in RSI
bullishDivergence = isBullishDivergence(rsiSource, rsi)
bearishDivergence = isBearishDivergence(rsiSource, rsi)
// Condition for Buy Signal: MACD crossing above zero + RSI bullish divergence
buySignal = macdAboveZero and bullishDivergence
// Condition for Sell Signal: MACD crossing below zero + RSI bearish divergence
sellSignal = macdBelowZero and bearishDivergence
// Plot buy and sell signals on the chart
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Plot RSI and MACD on the chart for reference
plot(rsi, title="RSI", color=color.blue, linewidth=1)
hline(70, "Overbought", color=color.red)
hline(30, "Oversold", color=color.green)
plot(macdLine, title="MACD Line", color=color.blue)
plot(signalLine, title="Signal Line", color=color.orange)
hline(0, "MACD Zero Line", color=color.gray)
BB + SMA120Custom Bollinger Band with SMA Alert Indicator
This script is a customized Bollinger Band indicator with added alerts based on specific conditions related to a 120-period Simple Moving Average (SMA). This indicator is designed for traders who want to receive alerts when certain interactions occur between the Bollinger Bands and the SMA levels, providing potentially valuable signals in trend-following or mean-reversion strategies.
Key Features:
Bollinger Bands Calculation:
The script calculates a standard 25-period Bollinger Band using a customizable standard deviation. The bands consist of an upper, middle (basis), and lower line, allowing traders to observe volatility and potential support/resistance levels.
120 SMA High and Low Levels:
A 120-period SMA of high and low prices is added to the chart, providing a reference for longer-term trend direction and creating a range within which the Bollinger Bands can be evaluated.
Conditional Alerts:
Scenario 1: An alert is triggered when the Bollinger Bands remain above the 120 SMA high and low, and the price taps the lower Bollinger Band. This can be useful for spotting potential buy entries in an uptrend when prices retrace to the lower band.
Scenario 2: An alert is triggered when the Bollinger Bands remain below the 120 SMA high and low, and the price taps the upper Bollinger Band. This may help identify potential sell entries in a downtrend when prices retrace to the upper band.
Visual Aids:
The 120 SMA high and low lines are plotted on the chart with color fills, making it easy to visualize the trend and range boundaries.
Color-coded Bollinger Bands help highlight potential areas of interest based on volatility.
How to Use:
Add this indicator to your chart, configure the Bollinger Band length, and set your alert preferences. Alerts can be managed through TradingView's alert panel, where you can select the scenarios based on price interaction with the bands.
Recommended Use:
This indicator can be helpful for price action traders and mean-reversion strategies in Forex, stocks, and other markets where Bollinger Bands and moving averages are used.
Alerts may provide early signals for potential trade setups, although further confirmation and analysis are advised before entry.
Dynamic Market Correlation Analyzer (DMCA) v1.0Description
The Dynamic Market Correlation Analyzer (DMCA) is an advanced TradingView indicator designed to provide real-time correlation analysis between multiple assets. It offers a comprehensive view of market relationships through correlation coefficients, technical indicators, and visual representations.
Key Features
- Multi-asset correlation tracking (up to 5 symbols)
- Dynamic correlation strength categorization
- Integrated technical indicators (RSI, MACD, DX)
- Customizable visualization options
- Real-time price change monitoring
- Flexible timeframe selection
## Use Cases
1. **Portfolio Diversification**
- Identify highly correlated assets to avoid concentration risk
- Find negatively correlated assets for hedging strategies
- Monitor correlation changes during market events
2. Pairs Trading
- Detect correlation breakdowns for potential trading opportunities
- Track correlation strength for pair selection
- Monitor technical indicators for trade timing
3. Risk Management
- Assess portfolio correlation risk in real-time
- Monitor correlation shifts during market stress
- Identify potential portfolio vulnerabilities
4. **Market Analysis**
- Study sector relationships and rotations
- Analyze cross-asset correlations (e.g., stocks vs. commodities)
- Track market regime changes through correlation patterns
Components
Input Parameters
- **Timeframe**: Custom timeframe selection for analysis
- **Length**: Correlation calculation period (default: 20)
- **Source**: Price data source selection
- **Symbol Selection**: Up to 5 customizable symbols
- **Display Options**: Table position, text color, and size settings
Technical Indicators
1. **Correlation Coefficient**
- Range: -1 to +1
- Strength categories: Strong/Moderate/Weak (Positive/Negative)
2. **RSI (Relative Strength Index)**
- 14-period default setting
- Momentum comparison across assets
3. **MACD (Moving Average Convergence Divergence)**
- Standard settings (12, 26, 9)
- Trend direction indicator
4. **DX (Directional Index)**
- Trend strength measurement
- Based on DMI calculations
Visual Components
1. **Correlation Table**
- Symbol identifiers
- Correlation coefficients
- Correlation strength descriptions
- Price change percentages
- Technical indicator values
2. **Correlation Plot**
- Real-time correlation visualization
- Multiple correlation lines
- Reference levels at -1, 0, and +1
- Color-coded for easy identification
Installation and Setup
1. Load the indicator on TradingView
2. Configure desired symbols (up to 5)
3. Adjust timeframe and calculation length
4. Customize display settings
5. Enable/disable desired components (table, plot, RSI)
Best Practices
1. **Symbol Selection**
- Choose related but distinct assets
- Include a mix of asset classes
- Consider market cap and liquidity
2. **Timeframe Selection**
- Match timeframe to trading strategy
- Consider longer timeframes for strategic analysis
- Use shorter timeframes for tactical decisions
3. **Interpretation**
- Monitor correlation changes over time
- Consider multiple timeframes
- Combine with other technical analysis tools
- Account for market conditions and volatility
Performance Notes
- Calculations update in real-time
- Resource usage scales with number of active symbols
- Historical data availability may affect initial calculations
Version History
- v1.0: Initial release with core functionality
- Multi-symbol correlation analysis
- Technical indicator integration
- Customizable display options
Future Enhancements (Planned)
- Additional technical indicators
- Advanced correlation algorithms
- Enhanced visualization options
- Custom alert conditions
- Statistical significance testing
AutoCorrelation Test [OmegaTools]Overview
The AutoCorrelation Test indicator is designed to analyze the correlation patterns of a financial asset over a specified period. This tool can help traders identify potential predictive patterns by measuring the relationship between sequential returns, effectively assessing the autocorrelation of price movements.
Autocorrelation analysis is useful in identifying the consistency of directional trends (upward or downward) and potential cyclical behavior. This indicator provides an insight into whether recent price movements are likely to continue in a similar direction (positive correlation) or reverse (negative correlation).
Key Features
Multi-Period Autocorrelation: The indicator calculates autocorrelation across three periods, offering a granular view of price movement consistency over time.
Customizable Length & Sensitivity: Adjustable parameters allow users to tailor the length of analysis and sensitivity for detecting correlation.
Visual Aids: Three separate autocorrelation plots are displayed, along with an average correlation line. Dotted horizontal lines mark the thresholds for positive and negative correlation, helping users quickly assess potential trend continuation or reversal.
Interpretive Table: A table summarizing correlation status for each period helps traders make quick, informed decisions without needing to interpret the plot details directly.
Parameters
Source: Defines the price source (default: close) for calculating autocorrelation.
Length: Sets the analysis period, ranging from 10 to 2000 (default: 200).
Sensitivity: Adjusts the threshold sensitivity for defining correlation as positive or negative (default: 2.5).
Interpretation
Above 50 + Sensitivity: Indicates Positive Correlation. The price movements over the selected period are likely to continue in the same direction, potentially signaling a trend continuation.
Below 50 - Sensitivity: Indicates Negative Correlation. The price movements show a likelihood of reversing, which could signal an upcoming trend reversal.
Between 50 ± Sensitivity: Indicates No Correlation. Price movements are less predictable in direction, with no clear trend continuation or reversal tendency.
How It Works
The indicator calculates the logarithmic returns of the selected source price over each length period.
It then compares returns over consecutive periods, categorizing them as either "winning" (consistent direction) or "losing" (inconsistent direction) movements.
The result for each period is displayed as a percentage, with values above 50% indicating a higher degree of directional consistency (positive or negative).
A table updates with descriptive labels (Positive Correlation, Negative Correlation, No Correlation) for each tested period, providing a quick overview.
Visual Elements
Plots:
AutoCorrelation Test : Displays autocorrelation for the closest period (lag 1).
AutoCorrelation Test : Displays autocorrelation for the second period (lag 2).
AutoCorrelation Test : Displays autocorrelation for the third period (lag 3).
Average: Displays the simple moving average of the three test periods for a smoothed view of overall correlation trends.
Horizontal Lines:
No Correlation (50%): A baseline indicating neutral correlation.
Positive/Negative Correlation Thresholds: Dotted lines set at 50 ± Sensitivity, marking the thresholds for significant correlation.
Usage Guide
Adjust Parameters:
Select the Source to define which price metric (e.g., close, open) will be analyzed.
Set the Length based on your preferred analysis window (e.g., shorter for intraday trends, longer for swing trading).
Modify Sensitivity to fine-tune the thresholds based on market volatility and personal trading preference.
Interpret Table and Plots:
Use the table to quickly check the correlation status of each lag period.
Analyze the plots for changes in correlation. If multiple lags show positive correlation above the sensitivity threshold, a trend continuation may be expected. Conversely, negative values suggest a potential reversal.
Integrate with Other Indicators:
For enhanced insights, consider using the AutoCorrelation Test indicator in conjunction with other trend or momentum indicators.
This indicator offers a powerful method to assess market conditions, identify potential trend continuations or reversals, and better inform trading decisions. Its customization options provide flexibility for various trading styles and timeframes.
Distance Indicator:52W H/L,MA,ADR%Description:
This indicator provides key metrics for analyzing the market's distance from significant levels. It includes options to display the distance in percentage terms from:
52-Week High and Low: Shows how far the current close price is from the highest and lowest price over the past 52 weeks.
Selected Moving Averages (MA): Tracks the distance of the current close from multiple moving averages (10, 21, 30, 50 periods), with an option to choose either EMA or SMA. This allows traders to quickly gauge momentum relative to short and long-term trends.
Average Daily Range (ADR%): Calculates the average daily range (high minus low) over the past 14 days as a percentage of the current close, helping to understand recent volatility.
3-Month Move: Tracks the percentage distance from the lowest price of the past 3 months to the current close.
Customization Options:
Include/Exclude Plots: Turn each indicator on or off as needed.
Color and Transparency: Customizable colors and transparency levels for each plot for easy visualization.
MA Type Selection: Choose between SMA or EMA for moving averages to suit trading preferences.
Note: All calculations are based on the daily timeframe, ensuring consistent and reliable values regardless of the chart’s selected timeframe.
Previous Highs + Lows by HAZED📈 Previous Highs + Lows by H A Z E D 📉
✨ Overview
Easily track previous highs and lows across multiple timeframes with Previous Highs + Lows! This indicator helps you keep an eye on key levels from the previous day, week, month, and shorter intervals (4H & 1H), marking them directly on your chart for seamless monitoring of support and resistance levels. Whether you're looking to spot trends or confirm breakout points, these levels give you a reliable context in any trading setup.
🛠️ Features
Customizable High and Low Levels
Toggle on/off high and low levels for different timeframes:
Daily 🟢
Weekly 🟡
Monthly 🔴
4-Hour 🔵
1-Hour 🟣
Offset Adjustment
Set custom label positions for clear visibility with a simple offset option.
Visual Labels
Each level is marked with a label showing its timeframe and direction:
⬆️ Highs
⬇️ Lows
🚀 How to Use
Identify Key Levels: Quickly visualize previous highs and lows on different timeframes for clear support and resistance.
Set Alerts: Built-in alert conditions notify you when the price crosses above the high or below the low, allowing you to respond to breakout and breakdown scenarios.
🔔 Alert Conditions
Daily High Crossover: Get alerted when the price breaks above the previous day’s high.
Weekly High Crossover: Stay notified for weekly high breakouts.
Monthly High Crossover: Confirm longer-term breakouts with the monthly high alert.
🔗 License: Mozilla Public License 2.0
© H A Z E D, 11/4/2024
stefan_k/v indicatorIndikator mit Kauf bzw. Verkaufssymbol.
Dieser soll Kennzeichnen wann man "theoretisch" den aktuell offenen Markt kaufen oder verkaufen soll. Allerdings sollte berücksichtigt werden, dass es nur als Hilfe für die Analyse zählen soll und es nicht zu 100% funktioniert. Danke für das Verständnis.
David_candle length with average and candle directionThis indicator,
calculates the difference between the highest and lowest price (High-Low difference) for a specified number of periods and displays it in a table. Here are the functions and details included:
Number of Periods: The user can define the number of periods (e.g., 10) for which the High-Low differences are calculated.
Table Position: The position of the table that displays the results can be selected by the user (top left, top right, bottom left, or bottom right).
High-Low Difference per Candle: For each defined period, the difference between the highest and lowest price of the respective candle is calculated.
Candle Direction: The color of the displayed text in the table changes based on the candle direction:
Green for bullish candles (close price higher than open price).
Red for bearish candles (close price lower than open price).
White for neutral candles (close price equal to open price).
Average: Below the High-Low differences, the average value of the calculated differences is displayed in yellow text.
This indicator is useful for visually analyzing the volatility and movement range within the recent candles by highlighting the average High-Low difference.
Elliott Wave Manual Plotter//@version=5
indicator("Elliott Wave Manual Plotter", overlay=true)
// Input levels for Elliott Waves
wave1 = input.float(51000, title="Wave 1 Level")
wave2 = input.float(48500, title="Wave 2 Level")
wave3 = input.float(55000, title="Wave 3 Level")
wave4 = input.float(53000, title="Wave 4 Level")
wave5 = input.float(57500, title="Wave 5 Level")
// Plotting the wave levels
plot(wave1, color=color.green, linewidth=2, title="Wave 1")
plot(wave2, color=color.red, linewidth=2, title="Wave 2")
plot(wave3, color=color.blue, linewidth=2, title="Wave 3")
plot(wave4, color=color.orange, linewidth=2, title="Wave 4")
plot(wave5, color=color.purple, linewidth=2, title="Wave 5")
Horizontal Lines at Custom IntervalsThis Pine Script indicator, "Horizontal Lines at Custom Intervals," is a versatile tool designed to help traders visualize key price levels at regular intervals above and below a specified starting price. It is particularly useful for identifying support and resistance zones, psychological price levels, or potential entry and exit points around a central price reference.
Customizable Starting Price**: Set a central price around which the lines will be drawn, such as a current asset price, pivot level, or significant historical level.
- **Adjustable Intervals and Range**: Choose the interval distance (in points) between each horizontal line, as well as the total range above and below the starting price. This flexibility allows the indicator to adapt to different asset classes and timeframes.
- **Full Chart Extensions**: Each line is set to extend across the entire chart, providing a clear, continuous visual reference that spans both past and future price action.
- **Editable Line Style, Width, and Color**: Personalize the appearance of the lines with selectable color, width, and style options (Solid, Dotted, Dashed), enabling the indicator to match your charting preferences and visual style.
### Applications:
1. **Support and Resistance Identification**: Traders can use the evenly spaced lines to identify potential support and resistance zones around the starting price, helping to mark areas of interest where price may react.
2. **Psychological Levels**: Round-number levels often hold psychological significance in trading. By setting intervals to common round numbers, this indicator can help identify these critical levels.
3. **Scalping and Range Trading**: This tool is especially valuable in range-bound markets, where repeated price action within defined levels allows traders to buy and sell around predictable zones.
4. **Trend Reversal and Breakout Signals**: In trending markets, observing how price interacts with these levels can offer insights into possible breakouts or trend reversals.
### Example Use Case:
For instance, if BankNifty is trading around 51,130, you can set this as the starting price. With 50-point intervals and a range of 1,000 points, the indicator will plot lines at 50-point increments both above and below 51,130, covering a total range of 2,000 points. This setup provides clear visual cues for potential price reaction zones as the asset moves through different price levels.
This indicator is a simple yet powerful addition to any trader’s toolkit, offering a structured approach to analyzing price levels and making informed trading decisions.
M2 Money Supply vs SPY SpreadSpread between M2 Money Supply and SPY, with Bollinger bands to see when it has become overextended in either direction.
Yusuf - En İyi Gösterge//@version=5
indicator("Yusuf & ChatGPT - En İyi Gösterge", overlay=true)
// Parametreler
length = input.int(14, title="RSI Periyodu")
rsiOverbought = input.int(70, title="RSI Aşırı Alım", minval=1, maxval=100)
rsiOversold = input.int(30, title="RSI Aşırı Satım", minval=1, maxval=100)
bbLength = input.int(20, title="Bollinger Bands Periyodu")
bbMultiplier = input.float(2.0, title="Bollinger Bands Çarpanı")
supertrendLength = input.int(10, title="Supertrend Periyodu")
supertrendMultiplier = input.float(3.0, title="Supertrend Çarpanı")
// RSI Hesaplaması
rsiValue = ta.rsi(close, length)
// Bollinger Bands Hesaplaması
basis = ta.sma(close, bbLength)
bbUpper = basis + bbMultiplier * ta.stdev(close, bbLength)
bbLower = basis - bbMultiplier * ta.stdev(close, bbLength)
// Supertrend Hesaplaması
= ta.supertrend(supertrendMultiplier, supertrendLength)
// Al/Sat Koşulları
buySignal = (rsiValue < rsiOversold) and (close < bbLower) and (direction > 0)
sellSignal = (rsiValue > rsiOverbought) and (close > bbUpper) and (direction < 0)
// Sinyalleri Grafikte Göster
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="Al Sinyali", text="BUY")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sat Sinyali", text="SELL")
// Göstergeleri Grafikte Göster
plot(bbUpper, color=color.blue, title="Bollinger Bands Üst")
plot(bbLower, color=color.blue, title="Bollinger Bands Alt")
plot(supertrend, color=color.purple, title="Supertrend")
hline(rsiOverbought, "RSI Aşırı Alım", color=color.red)
hline(rsiOversold, "RSI Aşırı Satım", color=color.green)
RSI with Short and Long EMAIntroduction
This indicator overlays two Exponential Moving Averages (EMAs) directly onto the Relative Strength Index (RSI) to help traders identify momentum changes and potential trend shifts. The RSI (Relative Strength Index) is a popular momentum oscillator that measures the speed and change of price movements, generally used to spot overbought and oversold levels. Adding EMAs on top of the RSI can provide additional insight into RSI trends, smoothing out fluctuations and helping to identify crossovers that indicate potential buy or sell signals.
In this indicator:
Short EMA (default 20-period) is plotted on the RSI to track shorter-term momentum shifts within the RSI.
Long EMA (default 50-period) is used to track longer-term momentum within the RSI, providing a comparison for the shorter EMA.
How to Use
RSI Momentum: The RSI itself, plotted as a blue line, moves between 0 and 100, with 70 and 30 commonly representing overbought and oversold levels. When RSI is above 70, it signals potential overbought conditions, while below 30 signals oversold conditions.
Crossovers:
Bullish Signal: When the Short EMA (green line) crosses above the Long EMA (red line), it suggests increasing momentum and may signal a potential buying opportunity.
Bearish Signal: When the Short EMA crosses below the Long EMA, it indicates decreasing momentum and may signal a potential selling opportunity.
Confirming Trends:
When the RSI is above both EMAs, it often confirms an uptrend in momentum.
Conversely, when the RSI is below both EMAs, it may indicate a downtrend.
Overbought/Oversold Confirmation:
In overbought conditions (RSI > 70), watch for the Short EMA to cross below the Long EMA to confirm a potential pullback.
In oversold conditions (RSI < 30), look for the Short EMA to cross above the Long EMA to signal a potential recovery.
By analyzing these crossovers along with the RSI levels, you can gain insights into trend strength and potential reversals. This indicator is particularly useful for spotting early signs of a trend shift before price action reflects it.
Yusuf - alsat...//@version=5
indicator("Yusuf & ChatGPT - En İyi Gösterge", overlay=true)
// Parametreler
length = input.int(14, title="RSI Periyodu")
rsiOverbought = input.int(70, title="RSI Aşırı Alım", minval=1, maxval=100)
rsiOversold = input.int(30, title="RSI Aşırı Satım", minval=1, maxval=100)
bbLength = input.int(20, title="Bollinger Bands Periyodu")
bbMultiplier = input.float(2.0, title="Bollinger Bands Çarpanı")
supertrendLength = input.int(10, title="Supertrend Periyodu")
supertrendMultiplier = input.float(3.0, title="Supertrend Çarpanı")
// RSI Hesaplaması
rsiValue = ta.rsi(close, length)
// Bollinger Bands Hesaplaması
basis = ta.sma(close, bbLength)
bbUpper = basis + bbMultiplier * ta.stdev(close, bbLength)
bbLower = basis - bbMultiplier * ta.stdev(close, bbLength)
// Supertrend Hesaplaması
= ta.supertrend(supertrendMultiplier, supertrendLength)
// Al/Sat Koşulları
buySignal = (rsiValue < rsiOversold) and (close < bbLower) and (direction > 0)
sellSignal = (rsiValue > rsiOverbought) and (close > bbUpper) and (direction < 0)
// Sinyalleri Grafikte Göster
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="Al Sinyali", text="BUY")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sat Sinyali", text="SELL")
// Göstergeleri Grafikte Göster
plot(bbUpper, color=color.blue, title="Bollinger Bands Üst")
plot(bbLower, color=color.blue, title="Bollinger Bands Alt")
plot(supertrend, color=color.purple, title="Supertrend")
hline(rsiOverbought, "RSI Aşırı Alım", color=color.red)
hline(rsiOversold, "RSI Aşırı Satım", color=color.green)
5EMA Indicator with color changing formations (12,21,50,100,200)5 EMA Indicator
The 5 EMA Indicator is designed to provide traders with insights into market trends using Exponential Moving Averages (EMAs).
Key Features:
Five EMAs: Plots the 12, 21, 50, 100, and 200-period EMAs on the chart, helping to identify short-term and long-term trends.
Color-Coded Trends:
The 12 and 21 EMAs are highlighted in green during bullish conditions, while the 50, 100, and 200 EMAs turn dark purple in bearish conditions.
This color-coding helps traders quickly assess the market sentiment.
Customizable Timeframe: Users can choose the timeframe for the EMAs, allowing for flexible analysis based on individual trading strategies.
Crypto Swing LevelsAuthor: Ravi Kumar
Description :
AIM: This indicator helps you identify the swing level for crypto.
Background : This strategy is based on the last 5 min candle closed for the day as per Indian time standard. i.e: 23:55
Strategy: The code identifies the high and low of the 23:55 5-minute candle and draws 0.83% from the high and 0.83% from below to identify the first-level range.
Repeat the above steps to get further above and below ranges.
How to use Indicator :
-----------------------------------
Step-1: Chart timeframe should be in 5 min
Step -2:Once Indicator will came you will see a message to select date and time range. Select yesterday date to forecast the levels for upcoming days.
Example : if you want to see levels for 4th nov then in setting select the date as 3rd Nov.
Step-3 : Now your levels are ready.
Note: It will help you to identify crucial levels of cryptos.
