Ultimate Stock StrategyUltimate Stock Strategy EMA, SMA, Volume)
Moving Average
ema9
ema21
sma50
Volume
avgVolume
volumeSurge
Buy Signal
bullishCrossover
Sell Signal
bearishCrossover
Indicadores y estrategias
Buy Sell signals (With Alerts)Buy And Sell signals indicator that been modified so that it will work with Trading bots and manual trading.
this indicator of buy and sell signals comes with alert for buy and sell.
there is no such thing as a continues winning trades indicator with its own losses, but i tried to keep this one to minimum.
Goodluck and hope you enjoy and benefit from this indicator.
XX ZonesXX Zones Indicator
This advanced technical indicator creates a dynamic zone system using standard deviations around a customizable moving average, helping traders identify potential support, resistance, and reversal areas.
🔧 Features:
• 10 distinct zones (5 above and 5 below the basis line) based on standard deviations
• Customizable moving average types (SMA, EMA, WMA, VWMA, RMA, HMA)
• Visual doji detection highlighting key battle zones between bulls and bears
• Professional color gradient system from green (upper zones) to red (lower zones)
• Adjustable parameters for fine-tuning
📊 Statistical Zone Distribution:
The zones are based on standard deviations (SD) from the mean, following normal distribution principles:
- Within ±1 SD: ~68% of price action
- Within ±2 SD: ~95% of price action
- Within ±3 SD: ~99.7% of price action
This makes the outer zones particularly significant for identifying potential reversals as they are quite rare.
📊 Statistical Zone Distribution:
Each zone represents a specific standard deviation range, with corresponding probability of price action:
| Zone | SD Range | Price Location % | Cumulative % |
|-------|---------------|------------------|--------------|
| +5 | +2.0 to +2.5 | 1.7% | 99.4% |
| +4 | +1.5 to +2.0 | 4.4% | 97.7% |
| +3 | +1.0 to +1.5 | 9.2% | 93.3% |
| +2 | +0.5 to +1.0 | 15.0% | 84.1% |
| +1 | 0 to +0.5 | 19.1% | 69.1% |
| -1 | -0.5 to 0 | 19.1% | 50% |
| -2 | -1.0 to -0.5 | 15.0% | 30.9% |
| -3 | -1.5 to -1.0 | 9.2% | 15.9% |
| -4 | -2.0 to -1.5 | 4.4% | 6.7% |
| -5 | -2.5 to -2.0 | 1.7% | 2.3% |
This statistical distribution makes the outer zones particularly significant for identifying potential reversals, as price spends less than 2% of the time in each of the extreme zones (+5 and -5).
⚙️ Customizable Inputs:
• Length: Period for moving average and standard deviation calculations (default: 20)
• Moving Average Type: Choose from 6 different MA types
• Max Deviation Range: Sets the outer boundaries (1.0 to 3.0)
• Doji Max Body Size: Adjusts sensitivity for doji pattern detection
💡 Usage:
1. Use zones as dynamic support/resistance levels
2. Monitor price action relative to the basis line
3. Watch for transitions between zones as potential trading signals
4. Pay special attention to doji candles - they represent key battle points where bulls and bears are fighting for position control
5. Combine with other indicators for comprehensive analysis
This indicator is particularly useful for:
- Locating potential reversal zones near doji candles
- Following strong trending moves
- Managing risk with clear zone boundaries
- Identifying statistically significant price extremes
Note: This indicator works best on higher timeframes where price movements are more significant and zones have more meaning.
Media del Precio desde los Orígenes (Máximos y Mínimos)Este indicador nos muestra el precio medio teniendo en cuenta los máximos y mínimos de cada vela, desde sus orígenes.
En el centro de cada vela se marca un punto que nos muestra el precio medio de esa vela en concreto.
Multi SMA EMA VWAPMulti Moving Average Indicator, which includes EMA, SMA and VWAP.
It has 4 EMAs and 5 SMAs, for different trading strategies.
It adds the VWAP, HLC3, to complement the moving averages in low time frames and for scalping.
Low Timeframe Trend Following with Price Action by dbbCandlestick patterns such as Pin Bars and Engulfing patterns are still used for confirmation of potential entries.
Support/Resistance levels provide areas of interest, and trades are only taken in the direction of the overall trend (identified via a shorter-period MA).
ATR is still used to determine appropriate stop loss and take profit levels, adjusted for the quicker price action on smaller timeframes.
Backtesting:
Set the chart to a low timeframe like 1m, 5m, or 15m and backtest the strategy.
Adjust input parameters as needed based on market volatility or asset behavior.
This version should now execute more trades while maintaining the logic for managing risk and profitability.
Low Timeframe Trend Following with Price Action by dbbCandlestick patterns such as Pin Bars and Engulfing patterns are still used for confirmation of potential entries.
Support/Resistance levels provide areas of interest, and trades are only taken in the direction of the overall trend (identified via a shorter-period MA).
ATR is still used to determine appropriate stop loss and take profit levels, adjusted for the quicker price action on smaller timeframes.
Backtesting:
Set the chart to a low timeframe like 1m, 5m, or 15m and backtest the strategy.
Adjust input parameters as needed based on market volatility or asset behavior.
This version should now execute more trades while maintaining the logic for managing risk and profitability.
EMA DIF Strategy updatedThis explanation is TBD. More to come later. This is a very short term trend indicator using EMA crossovers to determine the buy or sell signal.
Relative Strength Index 42pRelative Strength Index with point 42 for BTC.
Bitcoin usually has reactions at that point. (Creator and testing Lucas Academia Atrévete con Dru)
High of last 5 days//@version=6
indicator("High of last 5 days", overlay = true)
// Milliseconds in 5 days: millisecs * secs * mins * hours * days
MS_IN_5DAYS = 1000 * 60 * 60 * 24 * 5
// The range check begins 5 days from the current time.
leftBorder = timenow - time < MS_IN_5DAYS
// The range ends on the last bar of the chart.
rightBorder = barstate.islast
// ————— Keep track of highest `high` during the range.
// Intialize `maxHi` with `var` on bar zero only.
// This way, its value is preserved, bar to bar.
var float maxHi = na
if leftBorder
if not leftBorder
// Range's first bar.
maxHi := high
else if not rightBorder
// On other bars in the range, track highest `high`.
maxHi := math.max(maxHi, high)
// Plot level of the highest `high` on the last bar.
plotchar(rightBorder ? maxHi : na, "Level", "—", location.absolute, size = size.normal)
// When in range, color the background.
bgcolor(leftBorder and not rightBorder ? color.new(color.aqua, 70) : na)
Midnight Trend Strategy + Fiyat Belirleme + Oto RTest V.6Manual Trend Belirleme Sonrasında Otonom Hale Getirme Trend Belirlerken Fiyat Tabanlı Belırleme Eklendı Oto Rtest Eklendi Manual Sadece Rtest Verdiğinde İşleme Giriş Eklendi Kar Al seviyeleri Ve % leri Guncellendi Sistem İçerisinden Düzenlenebilir Hale Getirildi .
Bollinger Bands Divergence with Buy and Sell Signalsmy fav indicators
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BOLLINGER BY HARSH### Description for the Indicator:
**Advanced Bollinger Bands + Inside Bar Signals**
This indicator is a versatile trading tool designed for precision and reliability, combining the power of Bollinger Bands with Inside Bar pattern detection and trend filtering. It offers traders a unique way to identify high-probability trading opportunities by integrating multiple market analysis techniques.
#### Key Features:
1. **Bollinger Bands:**
- Measures market volatility and identifies potential reversal zones.
- Upper and lower bands act as dynamic support and resistance levels.
2. **Inside Bar Pattern Detection:**
- Highlights areas of market consolidation and potential breakout setups.
- Displays inside bars directly on the chart for easy visualization.
3. **Trend Detection:**
- Uses an EMA (Exponential Moving Average) to determine market direction.
- Only signals trades aligned with the prevailing trend for better accuracy.
4. **Session Filter:**
- Allows you to restrict signals to specific trading sessions.
- Helps avoid false signals during low-liquidity periods.
5. **Advanced Buy & Sell Signals:**
- Buy signals: Inside bar near the lower Bollinger Band in an uptrend.
- Sell signals: Inside bar near the upper Bollinger Band in a downtrend.
- Reduces noise and focuses on high-quality setups.
6. **Risk Management Tools:**
- Automatically calculates take-profit and stop-loss levels based on ATR (Average True Range).
- Plots these levels on the chart to help traders manage risk effectively.
7. **Alerts for Signals:**
- Get notified instantly for buy and sell opportunities via TradingView alerts.
Adaptive RSI with Monte Carlo Random Walk [EdgeTerminal]The Monte Carlo Random Walk RSI indicator revolutionizes the traditional RSI by replacing static overbought/oversold levels with dynamic, statistically-driven bands that adapt to market conditions. Enhanced with smooth transitions, visual cues, and advanced filtering, this indicator provides a sophisticated approach to market analysis.
How it works:
In this indicator, the machine learning simulation works by combining multiple market signals in a weighted system that adapts to market conditions. Instead of just using simple RSI overbought/oversold levels, it analyzes the relationships between RSI, price momentum, and volatility to generate a comprehensive score.
The RSI component contributes 40% to the final signal, while momentum and volatility each contribute 30%. These signals are normalized and combined to create a score between 0-100, similar to how a machine learning model would generate probability predictions.
When this score is very high (above 80) along with traditional RSI signals, it suggests a stronger likelihood of a price reversal than using RSI alone.
The indicator doesn't use actual Monte Carlo simulations, but it does incorporate the concept of probability through its scoring system. Rather than giving simple buy/sell signals, it provides different levels of conviction (strong vs weak signals) based on how multiple factors align.
For example, a strong buy signal only occurs when both the ML score is above 80 AND the RSI is in oversold territory, indicating that multiple market conditions are favorable. This multi-factor approach helps reduce false signals that might occur with traditional RSI and provides traders with more nuanced information about potential trade opportunities.
Key Innovations:
Dynamic Bands vs Static Levels: Traditional RSI uses fixed 70/30 or 80/20 levels, this adaptive RSI creates adaptive bands based on market behavior and automatically adjusts to volatility and trend changes to reduce false signals in trending markets.
1. Calculate price volatility: σ = stdDev(returns)
2. Generate random walks: R(t) = R(t-1) + N(0,σ)
3. Transform to RSI space
4. Create probability distribution
5. Extract confidence intervals
Statistical Analysis: We use Monte Carlo simulations to generate probability bands. This allows the indicator levels to automatically adapt to current market conditions, generating more accurate overbought and oversold levels.
1. Measure deviation: D = |RSI - nearestBand|
2. Normalize by volatility: N = D/ATR
3. Calculate strength multiplier: max(1, N)
The indicator uses Monte Carlo simulations to model potential RSI paths. For each simulation, we generate random returns using market volatility, then calculate RSI components, calculate RSI, and finally, repeat N times (default 200 simulations)
Settings:
RSI Length: Controls the lookback period for the RSI calculation. Higher values result in smoother RSI, and slower signals. It affects exponential smoothing factor, impacts volatility measurement and influences random walk generation.
Number of Simulations: Controls Monte Carlo simulation count. Higher values result in more accurate bands, but lower calculation. More simulation means you get a better normal distribution, reducing random variation in bands.
Confidence Level: this controls statistical significance of bands. Higher values result in wider bands, meaning fewer trading signals are generated.
- 0.95 = 95% confidence interval
- Captures 2 standard deviations
- Controls false signal probability
Band Smoothing: Applies SMA to raw band values. Higher values mean smoother brands but result in more lag.
Minimum Signal Strength: Normalizes RSI deviation by ATR. The higher the value, it requires stronger moves. It uses ATR for volatility normalization and creates standard deviation equivalent.
Trend Sensitivity: Measures trend strength relative to volatility. Higher values filter more trending conditions
Volume Threshold: Compares current volume to average. Higher values require stronger volume confirmation. It validates price movement and confirms institutional participation.
How to Use:
Background gradually turns red in overbought and turns green in oversold conditions. Based on your trade direction, you want to pay attention when overbought or oversold levels start shifting.
For example, if you're going long on a trade, wait for oversold conditions (green) to start shifting toward red, this can indicate a move into a long direction, helping you catch the trend.
Additionally, the bands represent statistically significant levels where the RSI is likely to reverse, based on recent market behavior. The indicator runs multiple simulations of potential RSI paths. Each simulation uses recent market volatility and characteristics, then creates a statistical distribution of where RSI tends to turn around.
The Upper Band (red line) represents a statistically significant overbought level, when RSI crosses above this band and stays there for a while, the background starts to turn red, indicating it's more extended than normal. This is a lot more reliable than fixed RSI 70 level because it adapts to market conditions. Finally, the probability of reversal increases above this band. You can think of it as a dynamic overbought level.
The Lower Band (green line) is the opposite of the red line, and it represents a statistically significant oversold level. When RSI crosses below this band, it's more oversold than normal. This is a lot more reliable than fixed RSI 30 level because it adapts to market trend and the probability of reversal increases below this band.
Finally, the band width itself represents how volatile the market is. A wider band means the market is more volatile and a narrower band means the market is not as volatile. The width automatically adjusts based on market conditions.
Pivot & Source Cross StrategyPivot & ZoneCross Strategy V2
A powerful trading script combining Pivot Points, Retracement Zones, and Dynamic Stop-Loss Management. Suitable for beginners and advanced traders.
Introduction
This script enables traders to leverage Pivot Points and retracement zones for precise entry and exit points. Using price crossover detection and customizable stop-loss management, it offers a structured approach to trading various market conditions.
Features
Pivot Point Calculations: Select between Classic or Fibonacci methods for precise support and resistance levels.
Zone-Based Entry Signals: Identify price crossovers with retracement levels for optimal trade timing.
Customizable Stop-Loss Management: Automatically adjusts stop-loss levels to secure profits or limit losses.
Support for Market or Limit Orders: Choose instant market execution or specific limit entry points.
Flexible Inputs for Sources: Use Source First and Source Second to integrate external indicators like RSI and RSI MA, providing advanced customization options.
Visualization of Key Levels: Easily track retracement zones, Pivot Points, and stop-loss levels directly on the chart.
Configurable Conditions: Tailor entry/exit logic for your trading style.
How to Set Up
Choose Your Higher Timeframe (TIMEFRAME):
This determines the Pivot Points and retracement levels.
Example: Use “D” for daily pivots while trading on lower timeframes.
Select Entry Zone Patterns:
Define the pattern for detecting retracement levels:
xxx: Minor levels (steps of 10).
xx0: Intermediate levels (steps of 50).
x00: Major levels (steps of 100).
Set Entry Conditions for Long and Short Trades:
Activate or deactivate up/down conditions for xxx, xx0, or x00 patterns. Specify the count and range of crosses required for valid signals.
Configure Source Inputs (Source First and Source Second):
Assign external indicators such as RSI and RSI MA to refine entry conditions.
Tip: Adjust RSI settings in its separate indicator to suit your needs.
Select Your Order Type:
Choose between Market orders for instant execution or Limit orders for precision entries. Adjust offset zones for limit orders.
Set Up Stop-Loss Management:
Use dynamic stop-loss patterns with adjustable offsets:
HL: Stop-loss uses high/low levels of the zone.
Close: Stop-loss uses the closing price.
Customize Visualization Options:
Enable or disable xxx, xx0, x00, or 0 levels for cleaner charts. Adjust the display of retracement levels and stop-loss lines.
Apply and Monitor:
Attach the script to your chart, monitor entry/exit signals, and adjust parameters as needed.
How It Works
Calculates Pivot Points based on the chosen method ( Classic or Fibonacci ).
Detects price crossovers with retracement zones to identify potential entry points.
Dynamically adjusts stop-loss levels based on retracement zones and stop-loss patterns.
Supports both market and limit orders with customizable offsets for precise entries.
Allows integration of external sources like RSI for enhanced signal precision.
Important Notes
Use Source First and Source Second to input external indicators like RSI. You can configure RSI settings in its separate indicator to refine signals further.
Always test and optimize parameters before live trading.
Combine this script with your own analysis and proper risk management strategies.
This script is a tool to assist trading decisions but does not guarantee profits. Always trade responsibly.
RSI-Adjusted 9SMAThis indicator integrates the Relative Strength Index (RSI) and a Simple Moving Average (SMA) to create a more robust trading signal by blending momentum and trend analysis. Here's how they work together:
How the RSI and SMA Work in Harmony
RSI (Momentum Indicator):
The RSI measures the speed and change of price movements, oscillating between 0 and 100.
Typically, an RSI value above 50 suggests bullish momentum, while values below 50 indicate bearish momentum.
The script further refines this by applying a 9-period EMA to the RSI. This smoothing process filters out noise, providing a clearer picture of momentum shifts.
SMA (Trend Indicator):
The SMA calculates the average price over a specific period (9 in this case), helping to smooth out price fluctuations and identify the overall trend.
By observing the SMA, traders can determine whether the market is trending upward, downward, or moving sideways.
Combining the Two for Stronger Signals:
The RSI EMA acts as a momentum filter. When it is above 50, it indicates the presence of bullish momentum. Under such conditions, the SMA turning blue provides a stronger confirmation of an uptrend.
Conversely, when the RSI EMA is below 50, it signals weakening momentum. The SMA turning white underlines the caution, suggesting potential bearish conditions or a lack of trend strength.
This combination ensures that traders are not just relying on the SMA's trend-following behavior but also factoring in the market's underlying momentum for more reliable entries and exits.
Why This Approach is Robust
Avoid False Signals:
The SMA alone can generate false signals in choppy or range-bound markets. By incorporating the RSI EMA, the script reduces the likelihood of acting on weak or non-committal trends.
Timing Entries and Exits:
When both the SMA and RSI EMA align (e.g., blue SMA and RSI EMA > 50), it provides a stronger case for entering trades. Similarly, misalignment (e.g., white SMA and RSI EMA ≤ 50) warns against entering during uncertain conditions.
Adapting to Market Conditions:
This dual approach captures both short-term momentum shifts (RSI EMA) and longer-term trend direction (SMA), making it useful across different market phases.
Practical Application
Bullish Setup:
RSI EMA > 50 + Blue SMA → Enter or stay in long positions.
Bearish Setup:
RSI EMA ≤ 50 + White SMA → Exit long positions or consider short opportunities.
This combination of indicators offers traders a balanced strategy that considers both the direction of the trend and the underlying momentum, resulting in more confident and timely decision-making.
Enhanced 20 SMA Signal BoxesEnhanced 20 SMA Signal Boxes
This indicator leverages the 20-period Simple Moving Average (SMA) to generate clear and actionable trading signals. Designed for traders looking to streamline their entry and exit decisions, the script provides a visual hierarchy with dynamic signal boxes and target levels.
Features:
Buy & Sell Signals:
Automatically detects when the price crosses above or below the 20 SMA and marks the signal candle with a yellow box for clear visualization of entry (top of the box) and risk (bottom of the box).
Dynamic Target Levels:
Three blue outlined boxes are generated for each signal to indicate profit-taking levels. The boxes dynamically adjust based on the signal candle’s range and come with customizable labels:
"Long Target" for buy signals
"Short Target" for sell signals
Alert System:
Get notified when the price enters or exits the signal candle or when target levels are reached.
Customization Options:
Adjust SMA color, thickness, and length.
Modify box opacity for better chart visibility.
Edit target labels and positionings to suit your trading style.
Risk/Reward Visualization:
The script calculates and displays the risk/reward ratio visually between the signal candle and the first target box.
Dynamic Styling:
Target boxes feature gradient shades to highlight increasing profit potential, and optional lines connect the signal candle to targets for organized visuals.
This indicator simplifies decision-making by providing clear signals and targets, making it suitable for day traders, swing traders, and scalpers alike.
Volatility Signaling 50SMAOverview of the Script:
The script implements a volatility signaling indicator using a 50-period Simple Moving Average (SMA). It incorporates Bollinger Bands and the Average True Range (ATR) to dynamically adjust the SMA's color based on volatility conditions. Here's a detailed breakdown:
Components of the Script:
1. Inputs:
The script allows the user to customize key parameters for flexibility:
Bollinger Bands Length (length): Determines the period for calculating the Bollinger Bands.
Source (src): The price data to use, defaulting to the closing price.
Standard Deviation Multiplier (mult): Scales the Bollinger Bands' width.
ATR Length (atrLength): Sets the period for calculating the ATR.
The 50-period SMA length (smaLength) is fixed at 50.
2. Bollinger Bands Calculation:
Basis: Calculated as the SMA of the selected price source over the specified length.
Upper and Lower Bands: Determined by adding/subtracting a scaled standard deviation (dev) from the basis.
3. ATR Calculation:
Computes the Average True Range over the user-defined atrLength.
4. Volatility-Based Conditions:
The script establishes thresholds for Bollinger Band width relative to ATR:
Yellow Condition: When the band width (upper - lower) is less than 1.25 times the ATR.
Orange Condition: When the band width is less than 1.5 times the ATR.
Red Condition: When the band width is less than 1.75 times the ATR.
5. Dynamic SMA Coloring:
The 50-period SMA is colored based on the above conditions:
Yellow: Indicates relatively low volatility.
Orange: Indicates moderate volatility.
Red: Indicates higher volatility.
White: Default color when no conditions are met.
6. Plotting the 50-Period SMA:
The script plots the SMA (sma50) with a dynamically assigned color, enabling visual analysis of market conditions.
Use Case:
This script is ideal for traders seeking to assess market volatility and identify changes using Bollinger Bands and ATR. The colored SMA provides an intuitive way to gauge market dynamics directly on the chart.
Example Visualization:
Yellow SMA: The market is in a low-volatility phase.
Orange SMA: Volatility is picking up but remains moderate.
Red SMA: Higher volatility, potentially signaling significant market activity.
White SMA: Neutral/default state.
DT Bollinger BandsIndicator Overview
Purpose: The script calculates and plots Bollinger Bands, a technical analysis tool that shows price volatility by plotting:
A central moving average (basis line).
Upper and lower bands representing price deviation from the moving average.
Additional bands for a higher deviation threshold (3 standard deviations).
Customization: Users can customize:
The length of the moving average.
The type of moving average (e.g., SMA, EMA).
The price source (e.g., close price).
Standard deviation multipliers for the bands.
Fixed Time Frame: The script can use a fixed time frame (e.g., daily) for calculations, regardless of the chart's time frame.
Key Features
Moving Average Selection:
The user can select the type of moving average for the basis line:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Smoothed Moving Average (SMMA/RMA)
Weighted Moving Average (WMA)
Volume Weighted Moving Average (VWMA)
Standard Deviation Multipliers:
Two multipliers are used:
Standard (default = 2.0): For the original Bollinger Bands.
Larger (default = 3.0): For additional bands.
Bands Calculation:
Basis Line: The selected moving average.
Upper Band: Basis + Standard Deviation.
Lower Band: Basis - Standard Deviation.
Additional Bands: Representing ±3 Standard Deviations.
Plots:
Plots the basis, upper, and lower bands.
Fills the area between the bands for visual clarity.
Plots and fills additional bands for ±3 Standard Deviations with lighter colors.
Alerts:
Generates an alert when the price enters the range between the 2nd and 3rd standard deviation bands.
The alert can be used to notify when price volatility increases significantly.
Background Highlighting:
Colors the chart background based on alert conditions:
Green if the price is above the basis line.
Red if the price is below the basis line.
Offset:
Adds an optional horizontal offset to the plots for fine-tuning their alignment.
How It Works
Input Parameters:
The user specifies settings such as moving average type, length, multipliers, and fixed time frame.
Calculations:
The script computes the basis (moving average) and standard deviations on the fixed time frame.
Bands are calculated using the basis and multipliers.
Plotting:
The basis line and upper/lower bands are plotted with distinct colors.
Additional 3 StdDev bands are plotted with lighter colors.
Alerts:
An alert condition is created when the price moves between the 2nd and 3rd standard deviation bands.
Visual Enhancements:
Chart background changes color dynamically based on the price’s position relative to the basis line and alert conditions.
Usage
This script is useful for traders who:
Want a detailed visualization of price volatility.
Use Bollinger Bands to identify breakout or mean-reversion trading opportunities.
Need alerts when the price enters specific volatility thresholds.
Support and Resistance Non-Repainting [AlgoAlpha]Elevate your technical analysis with the Non-Repainting Support and Resistance indicator from AlgoAlpha. Designed for traders who value precision, this tool highlights key support and resistance zones without repainting, ensuring reliable signals for better market decisions.
Key Features
🔍 Concise Zones: Identifies critical levels in real-time without repainting.
🖍 Customizable Appearance: Choose your preferred colors for bullish and bearish zones.
📏 Pivot Sensitivity Settings: Adjust the lookback period to fit different market conditions.
🔔 Visual Alerts: Highlights zones on your chart with clear, dynamic boxes and lines.
How to Use
Add the Indicator : Add it to your favorites chart by clicking the star icon. Adjust the lookback period, max zone duration, and colors to match your strategy.
Analyze the Chart : Look for zones where prices frequently react, indicating strong support or resistance.
Set Alerts : Enable notifications for new zone formations and zone invalidations, ensuring you never miss critical market moves.
How It Works
The indicator detects pivot highs and lows using a specified lookback period. When a pivot is confirmed, it draws corresponding support or resistance zones using TradingView’s built-in drawing tools. These zones extend until price breaks through them or they expire based on a maximum allowed duration. The indicator continuously checks if price interacts with any active zones and adjusts accordingly, ensuring accurate and real-time visualization.
SIM Custom Weighted Index MakerSIM Custom Weighted Index Maker
The UNIQE SIM Custom Index Maker is a versatile and customizable indicator designed to help traders create their own personalized index using up to 10 different symbols. This tool is particularly useful for those who want to monitor the performance of a specific group of assets, such as meme coins, tech stocks, or any other category of interest. Additionally, users can now assign weights to each symbol, allowing for a more tailored index calculation.
Key Features:
Symbol Selection:
- Users can select up to 10 different symbols to include in their custom index.
- Each symbol can be individually enabled or disabled, allowing for flexible index composition.
Weight Assignment:
- Users can assign weights to each symbol, providing more control over the influence of each symbol on the index.
- By default, all symbols are equally weighted.
Timeframe Selection:
- The indicator supports both the chart's current timeframe and a fixed timeframe, providing users with the flexibility to analyze data at their preferred granularity.
OHLC Price Calculation:
- The indicator fetches the Open, High, Low, and Close (OHLC) prices for each enabled symbol.
- It then calculates the weighted average OHLC prices across all enabled symbols to create the index values.
Index Visualization:
- The custom index is plotted as candlesticks, with green candles indicating a rise in the index value and red candles indicating a fall.
- The wicks of the candlesticks are colored gray for better visual distinction.
Usage:
Select Symbols:
- Input the symbols you want to include in your index. You can choose up to 10 symbols.
- Enable or disable each symbol as needed to fine-tune your index.
Assign Weights:
- Assign weights to each symbol to control their influence on the index. By default, all symbols are equally weighted.
Choose Timeframe:
- Decide whether to use the chart's current timeframe or a fixed timeframe for data analysis.
Analyze the Index:
- The indicator will plot the custom index on your chart, allowing you to monitor the collective performance of your selected symbols.
Benefits:
- Customization : Create an index tailored to your specific interests or investment strategies.
- Flexibility : Easily add or remove symbols and adjust their weights to fine-tune the index composition.
- Visualization : Clear and intuitive candlestick representation of the index for easy analysis.
The SIM Custom Weighted Index Maker is a powerful tool for traders looking to gain insights into the performance of a custom group of assets, making it an essential addition to any trader's toolkit.
MACD Buy/Sell Labels + Barcolor👉 MACD Buy/Sell Labels + Barcolor
This advanced indicator combines the functionality of the MACD (Moving Average Convergence Divergence) with intuitive and customizable visual features, making it ideal for traders looking for an efficient tool to confirm buy and sell signals across any market.
It is based on the logical interpretation of a modified oscillator to improve its performance and simplify its usage. The indicator integrates seamlessly into the chart, offering an intuitive and easy-to-understand experience.
📍 Labels (Buy/Sell):
The signals are generated automatically by crossovers between the Fast EMA and Slow EMA of the Gaussian MACD. It comes with a default configuration designed to favor clean crossovers while avoiding false signals.
🧪 Barcolor:
The color of the candles dynamically changes according to the range of the Gaussian MACD histogram. This allows for a clear visualization of the MACD's status without needing to display the full oscillator. This feature integrates with the labels, as explained in the "Interpretation" section, to significantly increase their probability of success. Both the ranges and colors are fully customizable through the settings panel.
⚙️ Settings:
All aspects of the indicator can be customized:
1-MACD: Like a standard MACD, you can adjust the EMA lengths and the signal smoothing to adapt it to your trading style and the markets you trade.
2-Barcolor: The predefined values highlight extreme levels for proper interpretation, as explained in the "Interpretation" section. However, intermediate levels are also included in case you want to implement them in your strategy. You can adjust these values based on what you consider "overbought" or "oversold." This flexibility allows adaptation to various assets, as oscillator behavior varies across different instruments.
3-Buy/Sell Filter:
The filter settings allow you to further refine the signals. The default values of -70 (Buy Filter) and 80 (Sell Filter) work best for me, but you can adjust them as you see fit. Keep in mind:
-Higher distance from zero: More filtered signals (fewer, but higher quality).
-Closer to zero: Less filtered signals (more frequent, but with increased risk of false signals).
🤔 Interpretation:
As mentioned earlier, this follows the classic interpretation of a MACD oscillator: overbought/oversold levels combined with crossovers. However, the barcolor variable is what makes this indicator truly unique.
With barcolor, you can detect potential divergences and confirm them using the labels. When the oscillator reaches an extreme zone, barcolor provides a visual alert. Once the oscillator exits this zone, the candles revert to their normal color. This signals that the oscillator is dropping. If the price continues rising, this divergence can indicate an anomaly in the market. Waiting for confirmation from the label increases the probability of successful trades while detecting unusual market deviations without even looking at the oscillator.
Purpose:
This indicator is designed to help traders simplify the interpretation of the MACD. It can be used on any timeframe, but it was primarily tested using technical analysis concepts and basic liquidity principles. Its effectiveness improves significantly if you understand broader market dynamics.
Disclaimer:
This is purely an analytical tool and should NOT be considered as trading signals. Perform your own research and make decisions based solely on your responsibility. Thank you!