SMC breakout With EMAThis indicator is based on the breakout of the BOS and CHOCH levels at SMC method.
You can change the amount of candles of BOS or CHOCH.
This indicator also includes EMA, that you can use it for confirmation of buy or sell transaction.
Also you can use super trend features on this indicator for following your profit.
This indicator is based on the breakdown of the bass and choke points in it.
And this feature allows you to use this indicator in Forex trading as well.
Volatilität
Triple Power Stop [CHE]Triple Power Stop
This indicator provides a comprehensive multi-timeframe approach for stop level and trend analysis, tailored for traders who want enhanced precision and adaptability in their trading strategies. Here's what makes the Triple Power Stop (CHE) stand out:
Key Features:
1. ATR-Based Stop Levels:
- Uses the Average True Range (ATR) to dynamically calculate stop levels, ensuring sensitivity to market volatility.
- Adjustable ATR multiplier for fine-tuning the stop levels to fit different trading styles.
2. Multi-Timeframe Analysis:
- Evaluates trends across three different timeframes with user-defined multipliers.
- Enables deeper insight into the market's broader context while keeping the focus on precision.
3. Dynamic Volatility Adjustment:
- Introduces a unique volatility factor to enhance stop-level calculations.
- Adapts to market conditions, offering reliable support for both trending and ranging markets.
4. Clear Trend Visualization:
- Stop levels and trends are visually represented with color-coded lines (green for uptrend, red for downtrend).
- Seamlessly integrates trend changes and helps identify potential reversals.
5. Signal Alerts:
- Long and short entry signals are plotted directly on the chart for actionable insights.
- Eliminates guesswork and provides clarity in decision-making.
6. Customizability:
- Adjustable parameters such as ATR length, multipliers, and label counts, allowing traders to tailor the indicator to their strategies.
Practical Use:
The Triple Power Stop (CHE) is ideal for traders who want to:
- Manage risk effectively: With dynamically calculated stop levels, traders can protect their positions while allowing room for natural market fluctuations.
- Follow the trend: Multi-timeframe trend detection ensures alignment with broader market movements.
- Simplify decisions: Clear visual indicators and signals make trading decisions more intuitive and less stressful.
How to Use:
1. Set the ATR length and multiplier values based on your risk tolerance and trading strategy.
2. Choose multipliers for different timeframes to adapt the indicator to your preferred resolutions.
3. Use the color-coded trend lines and entry signals to time your trades and manage positions efficiently.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Enhance your trading precision and confidence with Triple Power Stop (CHE)! 🚀
Happy trading
Chervolino
Fake Double ReserveThis Pine Script code implements the "Fake Double Reserve" indicator, combining several widely-used technical indicators to generate Buy and Sell signals. Here's a detailed breakdown:
Key Indicators Included
Relative Strength Index (RSI):
Used to measure the speed and change of price movements.
Overbought and oversold levels are set at 70 and 30, respectively.
MACD (Moving Average Convergence Divergence):
Compares short-term and long-term momentum with a signal line for trend confirmation.
Stochastic Oscillator:
Measures the relative position of the closing price within a recent high-low range.
Exponential Moving Averages (EMAs):
EMA 20: Short-term trend indicator.
EMA 50 & EMA 200: Medium and long-term trend indicators.
Bollinger Bands:
Shows volatility and potential reversal zones with upper, lower, and basis lines.
Signal Generation
Buy Condition:
RSI crosses above 30 (leaving oversold territory).
MACD Line crosses above the Signal Line.
Stochastic %K crosses above %D.
The closing price is above the EMA 50.
Sell Condition:
RSI crosses below 70 (leaving overbought territory).
MACD Line crosses below the Signal Line.
Stochastic %K crosses below %D.
The closing price is below the EMA 50.
Visualization
Signals:
Buy signals: Shown as green upward arrows below bars.
Sell signals: Shown as red downward arrows above bars.
Indicators on the Chart:
RSI Levels: Horizontal dotted lines at 70 (overbought) and 30 (oversold).
EMAs: EMA 20 (green), EMA 50 (blue), EMA 200 (orange).
Bollinger Bands: Upper (purple), Lower (purple), Basis (gray).
Labels:
Buy and Sell signals are also displayed as labels at relevant bars.
//@version=5
indicator("Fake Double Reserve", overlay=true)
// Include key indicators
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
macdFast = 12
macdSlow = 26
macdSignal = 9
= ta.macd(close, macdFast, macdSlow, macdSignal)
stochK = ta.stoch(close, high, low, 14)
stochD = ta.sma(stochK, 3)
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
bbBasis = ta.sma(close, 20)
bbUpper = bbBasis + 2 * ta.stdev(close, 20)
bbLower = bbBasis - 2 * ta.stdev(close, 20)
// Detect potential "Fake Double Reserve" patterns
longCondition = ta.crossover(rsi, 30) and ta.crossover(macdLine, signalLine) and ta.crossover(stochK, stochD) and close > ema50
shortCondition = ta.crossunder(rsi, 70) and ta.crossunder(macdLine, signalLine) and ta.crossunder(stochK, stochD) and close < ema50
// Plot signals
if (longCondition)
label.new(bar_index, high, "Buy", style=label.style_label_up, color=color.green, textcolor=color.white)
if (shortCondition)
label.new(bar_index, low, "Sell", style=label.style_label_down, color=color.red, textcolor=color.white)
// Plot buy and sell signals as shapes
plotshape(longCondition, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// Plot indicators
plot(ema20, color=color.green, linewidth=1, title="EMA 20")
plot(ema50, color=color.blue, linewidth=1, title="EMA 50")
plot(ema200, color=color.orange, linewidth=1, title="EMA 200")
hline(70, "Overbought (RSI)", color=color.red, linestyle=hline.style_dotted)
hline(30, "Oversold (RSI)", color=color.green, linestyle=hline.style_dotted)
plot(bbUpper, color=color.purple, title="Bollinger Band Upper")
plot(bbLower, color=color.purple, title="Bollinger Band Lower")
plot(bbBasis, color=color.gray, title="Bollinger Band Basis")
Dynamic Intensity Transition Oscillator (DITO)The Dynamic Intensity Transition Oscillator (DITO) is a comprehensive indicator designed to identify and visualize the slope of price action normalized by volatility, enabling consistent comparisons across different assets. This indicator calculates and categorizes the intensity of price movement into six states—three positive and three negative—while providing visual cues and alerts for state transitions.
Components and Functionality
1. Slope Calculation
- The slope represents the rate of change in price action over a specified period (Slope Calculation Period).
- It is calculated as the difference between the current price and the simple moving average (SMA) of the price, divided by the length of the period.
2. Normalization Using ATR
- To standardize the slope across assets with different price scales and volatilities, the slope is divided by the Average True Range (ATR).
- The ATR ensures that the slope is comparable across assets with varying price levels and volatility.
3. Intensity Levels
- The normalized slope is categorized into six distinct intensity levels:
High Positive: Strong upward momentum.
Medium Positive: Moderate upward momentum.
Low Positive: Weak upward movement or consolidation.
Low Negative: Weak downward movement or consolidation.
Medium Negative: Moderate downward momentum.
High Negative: Strong downward momentum.
4. Visual Representation
- The oscillator is displayed as a histogram, with each intensity level represented by a unique color:
High Positive: Lime green.
Medium Positive: Aqua.
Low Positive: Blue.
Low Negative: Yellow.
Medium Negative: Purple.
High Negative: Fuchsia.
Threshold levels (Low Intensity, Medium Intensity) are plotted as horizontal dotted lines for visual reference, with separate colors for positive and negative thresholds.
5. Intensity Table
- A dynamic table is displayed on the chart to show the current intensity level.
- The table's text color matches the intensity level color for easy interpretation, and its size and position are customizable.
6. Alerts for State Transitions
- The indicator includes a robust alerting system that triggers when the intensity level transitions from one state to another (e.g., from "Medium Positive" to "High Positive").
- The alert includes both the previous and current states for clarity.
Inputs and Customization
The DITO indicator offers a variety of customizable settings:
Indicator Parameters
Slope Calculation Period: Defines the period over which the slope is calculated.
ATR Calculation Period: Defines the period for the ATR used in normalization.
Low Intensity Threshold: Threshold for categorizing weak momentum.
Medium Intensity Threshold: Threshold for categorizing moderate momentum.
Intensity Table Settings
Table Position: Allows you to position the intensity table anywhere on the chart (e.g., "Bottom Right," "Top Left").
Table Size: Enables customization of table text size (e.g., "Small," "Large").
Use Cases
Trend Identification:
- Quickly assess the strength and direction of price movement with color-coded intensity levels.
Cross-Asset Comparisons:
- Use the normalized slope to compare momentum across different assets, regardless of price scale or volatility.
Dynamic Alerts:
- Receive timely alerts when the intensity transitions, helping you act on significant momentum changes.
Consolidation Detection:
- Identify periods of low intensity, signaling potential reversals or breakout opportunities.
How to Use
- Add the indicator to your chart.
- Configure the input parameters to align with your trading strategy.
Observe:
The Oscillator: Use the color-coded histogram to monitor price action intensity.
The Intensity Table: Track the current intensity level dynamically.
Alerts: Respond to state transitions as notified by the alerts.
Final Notes
The Dynamic Intensity Transition Oscillator (DITO) combines trend strength detection, cross-asset comparability, and real-time alerts to offer traders an insightful tool for analyzing market conditions. Its user-friendly visualization and comprehensive alerting make it suitable for both novice and advanced traders.
Disclaimer: This indicator is for educational purposes and is not financial advice. Always perform your own analysis before making trading decisions.
Dynamic Volatility Differential Model (DVDM)The Dynamic Volatility Differential Model (DVDM) is a quantitative trading strategy designed to exploit the spread between implied volatility (IV) and historical (realized) volatility (HV). This strategy identifies trading opportunities by dynamically adjusting thresholds based on the standard deviation of the volatility spread. The DVDM is versatile and applicable across various markets, including equity indices, commodities, and derivatives such as the FDAX (DAX Futures).
Key Components of the DVDM:
1. Implied Volatility (IV):
The IV is derived from options markets and reflects the market’s expectation of future price volatility. For instance, the strategy uses volatility indices such as the VIX (S&P 500), VXN (Nasdaq 100), or RVX (Russell 2000), depending on the target market. These indices serve as proxies for market sentiment and risk perception (Whaley, 2000).
2. Historical Volatility (HV):
The HV is computed from the log returns of the underlying asset’s price. It represents the actual volatility observed in the market over a defined lookback period, adjusted to annualized levels using a multiplier of \sqrt{252} for daily data (Hull, 2012).
3. Volatility Spread:
The difference between IV and HV forms the volatility spread, which is a measure of divergence between market expectations and actual market behavior.
4. Dynamic Thresholds:
Unlike static thresholds, the DVDM employs dynamic thresholds derived from the standard deviation of the volatility spread. The thresholds are scaled by a user-defined multiplier, ensuring adaptability to market conditions and volatility regimes (Christoffersen & Jacobs, 2004).
Trading Logic:
1. Long Entry:
A long position is initiated when the volatility spread exceeds the upper dynamic threshold, signaling that implied volatility is significantly higher than realized volatility. This condition suggests potential mean reversion, as markets may correct inflated risk premiums.
2. Short Entry:
A short position is initiated when the volatility spread falls below the lower dynamic threshold, indicating that implied volatility is significantly undervalued relative to realized volatility. This signals the possibility of increased market uncertainty.
3. Exit Conditions:
Positions are closed when the volatility spread crosses the zero line, signifying a normalization of the divergence.
Advantages of the DVDM:
1. Adaptability:
Dynamic thresholds allow the strategy to adjust to changing market conditions, making it suitable for both low-volatility and high-volatility environments.
2. Quantitative Precision:
The use of standard deviation-based thresholds enhances statistical reliability and reduces subjectivity in decision-making.
3. Market Versatility:
The strategy’s reliance on volatility metrics makes it universally applicable across asset classes and markets, ensuring robust performance.
Scientific Relevance:
The strategy builds on empirical research into the predictive power of implied volatility over realized volatility (Poon & Granger, 2003). By leveraging the divergence between these measures, the DVDM aligns with findings that IV often overestimates future volatility, creating opportunities for mean-reversion trades. Furthermore, the inclusion of dynamic thresholds aligns with risk management best practices by adapting to volatility clustering, a well-documented phenomenon in financial markets (Engle, 1982).
References:
1. Christoffersen, P., & Jacobs, K. (2004). The importance of the volatility risk premium for volatility forecasting. Journal of Financial and Quantitative Analysis, 39(2), 375-397.
2. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.
3. Hull, J. C. (2012). Options, Futures, and Other Derivatives. Pearson Education.
4. Poon, S. H., & Granger, C. W. J. (2003). Forecasting volatility in financial markets: A review. Journal of Economic Literature, 41(2), 478-539.
5. Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
This strategy leverages quantitative techniques and statistical rigor to provide a systematic approach to volatility trading, making it a valuable tool for professional traders and quantitative analysts.
Percentage Calculator by Akshay GaurThis indicator calculates and displays percentage levels above and below the current price. It allows you to easily identify any percentage levels which can be used in many things like creating strangles and straddles and make informed trading decisions. The indicator automatically adjusts and redraws the lines and labels on the latest bar to reflect real-time market conditions.
Key Features:
• Calculates percentage levels above and below the current price
• Displays percentage levels on big labels with the horizontal lines on the chart
• Allows you to adjust the percentage value and every details.
• Allows you to see Fluctuation line on the chart.
How to Use:
1. Set the percentage value to the desired level (e.g. 1%, 2%, etc.)
2. If you want to see Fluctuation lines also then turn on it from Input settings.
3. Use the displayed levels to identify desired percentage levels.
4. Make informed trading decisions based on the calculated levels
Implied and Historical VolatilityAbstract
This TradingView indicator visualizes implied volatility (IV) derived from the VIX index and historical volatility (HV) computed from past price data of the S&P 500 (or any selected asset). It enables users to compare market participants' forward-looking volatility expectations (via VIX) with realized past volatility (via historical returns). Such comparisons are pivotal in identifying risk sentiment, volatility regimes, and potential mispricing in derivatives.
Functionality
Implied Volatility (IV):
The implied volatility is extracted from the VIX index, often referred to as the "fear gauge." The VIX represents the market's expectation of 30-day forward volatility, derived from options pricing on the S&P 500. Higher values of VIX indicate increased uncertainty and risk aversion (Whaley, 2000).
Historical Volatility (HV):
The historical volatility is calculated using the standard deviation of logarithmic returns over a user-defined period (default: 20 trading days). The result is annualized using a scaling factor (default: 252 trading days). Historical volatility represents the asset's past price fluctuation intensity, often used as a benchmark for realized risk (Hull, 2018).
Dynamic Background Visualization:
A dynamic background is used to highlight the relationship between IV and HV:
Yellow background: Implied volatility exceeds historical volatility, signaling elevated market expectations relative to past realized risk.
Blue background: Historical volatility exceeds implied volatility, suggesting the market might be underestimating future uncertainty.
Use Cases
Options Pricing and Trading:
The disparity between IV and HV provides insights into whether options are over- or underpriced. For example, when IV is significantly higher than HV, options traders might consider selling volatility-based derivatives to capitalize on elevated premiums (Natenberg, 1994).
Market Sentiment Analysis:
Implied volatility is often used as a proxy for market sentiment. Comparing IV to HV can help identify whether the market is overly optimistic or pessimistic about future risks.
Risk Management:
Institutional and retail investors alike use volatility measures to adjust portfolio risk exposure. Periods of high implied or historical volatility might necessitate rebalancing strategies to mitigate potential drawdowns (Campbell et al., 2001).
Volatility Trading Strategies:
Traders employing volatility arbitrage can benefit from understanding the IV/HV relationship. Strategies such as "long gamma" positions (buying options when IV < HV) or "short gamma" (selling options when IV > HV) are directly informed by these metrics.
Scientific Basis
The indicator leverages established financial principles:
Implied Volatility: Derived from the Black-Scholes-Merton model, implied volatility reflects the market's aggregate expectation of future price fluctuations (Black & Scholes, 1973).
Historical Volatility: Computed as the realized standard deviation of asset returns, historical volatility measures the intensity of past price movements, forming the basis for risk quantification (Jorion, 2007).
Behavioral Implications: IV often deviates from HV due to behavioral biases such as risk aversion and herding, creating opportunities for arbitrage (Baker & Wurgler, 2007).
Practical Considerations
Input Flexibility: Users can modify the length of the HV calculation and the annualization factor to suit specific markets or instruments.
Market Selection: The default ticker for implied volatility is the VIX (CBOE:VIX), but other volatility indices can be substituted for assets outside the S&P 500.
Data Frequency: This indicator is most effective on daily charts, as VIX data typically updates at a daily frequency.
Limitations
Implied volatility reflects the market's consensus but does not guarantee future accuracy, as it is subject to rapid adjustments based on news or events.
Historical volatility assumes a stationary distribution of returns, which might not hold during structural breaks or crises (Engle, 1982).
References
Black, F., & Scholes, M. (1973). "The Pricing of Options and Corporate Liabilities." Journal of Political Economy, 81(3), 637-654.
Whaley, R. E. (2000). "The Investor Fear Gauge." The Journal of Portfolio Management, 26(3), 12-17.
Hull, J. C. (2018). Options, Futures, and Other Derivatives. Pearson Education.
Natenberg, S. (1994). Option Volatility and Pricing: Advanced Trading Strategies and Techniques. McGraw-Hill.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2001). The Econometrics of Financial Markets. Princeton University Press.
Jorion, P. (2007). Value at Risk: The New Benchmark for Managing Financial Risk. McGraw-Hill.
Baker, M., & Wurgler, J. (2007). "Investor Sentiment in the Stock Market." Journal of Economic Perspectives, 21(2), 129-151.
ADX (levels)This Pine Script indicator calculates and displays the Average Directional Index (ADX) along with the DI+ and DI- lines to help identify the strength and direction of a trend. The script is designed for Pine Script v6 and includes customizable settings for a more tailored analysis.
Features:
ADX Calculation:
The ADX measures the strength of a trend without indicating its direction.
It uses a smoothing method for more reliable trend strength detection.
DI+ and DI- Lines (Optional):
The DI+ (Directional Index Plus) and DI- (Directional Index Minus) help determine the direction of the trend:
DI+ indicates upward movement.
DI- indicates downward movement.
These lines are disabled by default but can be enabled via input settings.
Customizable Threshold:
A horizontal line (hline) is plotted at a user-defined threshold level (default: 20) to highlight significant ADX values that indicate a strong trend.
Slope Analysis:
The slope of the ADX is analyzed to classify the trend into:
Strong Trend: Slope is higher than a defined "medium" threshold.
Moderate Trend: Slope falls between "weak" and "medium" thresholds.
Weak Trend: Slope is positive but below the "weak" threshold.
A background color changes dynamically to reflect the strength of the trend:
Green (light or dark) indicates trend strength levels.
Custom Colors:
ADX color is customizable (default: pink #e91e63).
Background colors for trend strength can also be adjusted.
Independent Plot Window:
The indicator is displayed in a separate window below the price chart, making it easier to analyze trend strength without cluttering the main price chart.
Parameters:
ADX Period: Defines the lookback period for calculating the ADX (default: 14).
Threshold (hline): A horizontal line value to differentiate strong trends (default: 20).
Slope Thresholds: Adjustable thresholds for weak, moderate, and strong trend slopes.
Enable DI+ and DI-: Boolean options to display or hide the DI+ and DI- lines.
Colors: Customizable colors for ADX, background gradients, and other elements.
How to Use:
Identify Trend Strength:
Use the ADX value to determine the strength of a trend:
Below 20: Weak trend.
Above 20: Strong trend.
Analyze Trend Direction:
Enable DI+ and DI- to check whether the trend is upward (DI+ > DI-) or downward (DI- > DI+).
Dynamic Slope Detection:
Use the background color as a quick visual cue to assess trend strength changes.
This indicator is ideal for traders who want to measure trend strength and direction dynamically while maintaining a clean and organized chart layout.
EMA Trend Reversed for VIX (v6)This script is designed specifically for tracking trends in the Volatility Index (VIX), which often behaves inversely to equity markets. It uses three Exponential Moving Averages (EMAs) to identify trends and highlight crossovers that signify potential shifts in market sentiment.
Unlike traditional trend-following indicators, this script reverses the usual logic for VIX, marking uptrends (indicating rising volatility and potential market fear) in red and downtrends (indicating falling volatility and potential market stability) in green. This reversal aligns with the VIX's unique role as a "fear gauge" for the market.
Key Features:
EMA Visualization:
Plots three customizable EMAs on the chart: Fast EMA (default 150), Medium EMA (default 200), and Slow EMA (default 250).
The user can adjust EMA lengths via input settings.
Trend Highlighting:
Red fill: Indicates an uptrend in VIX (rising fear/volatility).
Green fill: Indicates a downtrend in VIX (falling fear/volatility).
Crossover Detection:
Marks points where the Fast EMA crosses above or below the Slow EMA.
Red Labels: Fast EMA crossing above Slow EMA (trend shifts upward).
Green Labels: Fast EMA crossing below Slow EMA (trend shifts downward).
Alerts:
Custom alerts for crossovers:
"Trend Crossed UP": Notifies when VIX enters an uptrend.
"Trend Crossed DOWN": Notifies when VIX enters a downtrend.
Alerts can be used to monitor market conditions without actively watching the chart.
Customization:
Flexible EMA settings for fine-tuning based on the user's trading style or market conditions.
Dynamic coloring to provide clear visual cues for trend direction.
Use Cases:
Risk Management: Use this script to monitor shifts in VIX trends as a signal to adjust portfolio risk exposure.
Market Sentiment Analysis: Identify periods of heightened or reduced market fear to guide broader trading strategies.
Technical Analysis: Combine with other indicators or tools to refine trade entry and exit decisions.
How to Use:
Apply this indicator to a VIX chart (or similar volatility instrument).
Watch for the red and green fills to monitor trend changes.
Enable alerts to receive notifications on significant crossovers.
Adjust EMA settings to suit your desired sensitivity.
Notes:
This script is optimized for the VIX but can be applied to other volatility-based instruments.
For best results, pair with additional indicators or analysis tools to confirm signals.
ATR value for Stop LossThe indicator is supposed to give you a quick look at the ATR multiple for the symbol you are trading. Say, you trade on two minute candle for Intra-day, you know, as soon as you took the trade, where your 2 or 3 times ATR stop loss should be, etc.
You can use this on any time interval, for a quick way to identify the stop loss based on the volatility.
Good luck.
YT @channeldaytrading
Coral Tides StrategyThe Coral Tides Strategy is a powerful trend-following system that thrives in strongly trending market conditions. By combining the precision of the Coral Trend indicator with the breakout confirmation of the Donchian Channel, this strategy offers a reliable directional filter, helping traders align with market momentum and avoid countertrend trades.
Key Features:
Coral Trend Indicator: A smoothed trend indicator that adapts to price action, providing a clear visual cue for the prevailing market direction.
Donchian Channel Confirmation: Confirms directional strength by identifying key price breakouts or breakdowns over a user-defined period.
Outstanding Performance on Trend Days: Designed to excel on days when the market demonstrates strong, sustained trends, allowing traders to ride the waves of momentum effectively.
Customizable Settings: Traders can fine-tune the Donchian Channel period and Coral Trend smoothing period to suit their preferred instruments and timeframes.
How It Works:
Buy Signal: Activated when both the Coral Trend and Donchian Channel indicate a bullish market, signaling a potential continuation of upward momentum.
Sell Signal: Triggered when both indicators align on a bearish market, confirming downward momentum.
Directional Filter: This strategy primarily serves as a trend filter, guiding traders to focus on trades in the direction of the market’s momentum and to avoid entering during choppy or range-bound conditions.
The Coral Tides Strategy is particularly effective for traders who want to capture trending markets and reduce exposure to false signals in consolidating environments.
Important Notes:
The strategy is intended for informational purposes only and does not guarantee profitability.
Traders should thoroughly backtest the strategy on different instruments and timeframes before applying it to live trading.
Past performance is not indicative of future results.
EMA + BB + ST indicatorThe EMA + BB + ST Indicator is a versatile and compact trading tool designed for traders using free accounts with limited indicators. It combines three powerful technical analysis tools into one:
Exponential Moving Average (EMA): Tracks the trend and smooths price data, making it easier to identify market direction and potential reversals. Configurable to various timeframes for both short-term and long-term trend analysis.
Bollinger Bands (BB): Measures volatility and provides dynamic support and resistance levels. Useful for spotting overbought/oversold conditions and breakout opportunities.
SuperTrend (ST): A trend-following indicator that overlays the chart with buy/sell signals. It simplifies decision-making by highlighting clear trend reversals.
This single indicator offers a streamlined experience, helping traders:
Save indicator slots on free platforms like TradingView.
Gain comprehensive market insights from a single chart.
Easily customize inputs for EMA, BB, and ST to suit various strategies.
Ideal for swing, day, and long-term traders who want to maximize efficiency and performance on free accounts without sacrificing advanced functionality.
GVCR (Gamma-Volatility Cost Ratio)While TradingView does not currently support options data to automatically fill this tool with the required data live, it will be updated once it does.
Currently, it is pretty simple and acts like a calculator to display the result below your chart for reference. As options data changes all the time a live version will be needed when capabilities support it.
The formula is Implied Volatility / Gamma * Premium
This helps you compare two options affected by similar price action.
In theory the lower number result option will perform better.
There is an option to add an extra set into the calculation to get the average of the two intended to be used for spreads.
- TK211X
Credit for Formula: Tekhon Kovalev
Tip jar:
BTC: bc1q3cakkvkj9vnk94cr7akqwwx8kl0086k6ruy036
BBMA. Custom BB + MACustom BB + MA Indicator
This indicator combines Bollinger Bands (BB), Moving Averages (MA), and an Exponential Moving Average (EMA) to provide a comprehensive view of market trends and price volatility.
Features:
Bollinger Bands (BB):
Configurable period and standard deviation.
Displays upper, lower, and midline bands with customizable colors and widths.
Moving Averages (MA):
Includes 5-period and 10-period Weighted Moving Averages (WMA) for both highs and lows.
Customizable colors and line widths for better visualization.
Exponential Moving Average (EMA):
Includes a 50-period EMA with customizable settings.
Usage:
Use Bollinger Bands to gauge price volatility and identify potential breakout or reversal points.
Use Moving Averages for trend direction and short-term price movements.
Use the EMA for a smoother trend analysis and long-term direction.
This indicator is fully customizable, allowing traders to adjust the settings to fit their trading strategies and preferences. Perfect for technical analysis of any market.
ATR BandsThis indicator plots the Target (2.4 times ATR) and Stop Loss (1.2 times ATR) based on the 5-day ATR value for both long and short trades.
BBMA. Custom BB + MACustom BB + MA Indicator
This indicator combines Bollinger Bands (BB), Moving Averages (MA), and an Exponential Moving Average (EMA) to provide a comprehensive view of market trends and price volatility.
Features:
Bollinger Bands (BB):
Configurable period and standard deviation.
Displays upper, lower, and midline bands with customizable colors and widths.
Moving Averages (MA):
Includes 5-period and 10-period Weighted Moving Averages (WMA) for both highs and lows.
Customizable colors and line widths for better visualization.
Exponential Moving Average (EMA):
Includes a 50-period EMA with customizable settings.
Usage:
Use Bollinger Bands to gauge price volatility and identify potential breakout or reversal points.
Use Moving Averages for trend direction and short-term price movements.
Use the EMA for a smoother trend analysis and long-term direction.
This indicator is fully customizable, allowing traders to adjust the settings to fit their trading strategies and preferences. Perfect for technical analysis of any market.
VolumeByTiagoFind where the big money is:
Yellow - Very strong (high probability big players investing)
Red - Strong (high probability big players secundary investiments)
Green - Volatility
White - No important Volatility
Ichimoku with Vertical Mirror DistanceThe Ichimoku Kinko Hyo is a powerful technical indicator used to assess market trends, potential support and resistance levels, and momentum. It consists of several components that help visualize the market's state:
Tenkan-sen (Conversion Line): A fast-moving average.
Kijun-sen (Base Line): A slower-moving average.
Senkou Span A (Leading Span A): The average of Tenkan-sen and Kijun-sen, shifted forward in time.
Senkou Span B (Leading Span B): A slower moving average of the high and low price over a period of 52 periods, shifted forward in time.
Chikou Span (Lagging Line): The closing price shifted back in time by 26 periods.
This custom version of the Ichimoku indicator adds the vertical mirrored distance feature, which calculates the distance between Senkou Span B and Kijun-sen and then mirrors this distance to create two new lines. These new lines help visualize the range between these key Ichimoku lines.
ATR Bands With TMThis indicator plots the Target (2.4 times ATR) and Stop Loss (1.2 times ATR) based on the 5-day ATR value for both long and short trades. If needed, you can also set indicator time frame.
