HMA Gaussian Volatility AdjustedOverview
The "HMA Gaussian Volatility Adjusted" indicator introduces a unique combination of HMA smoothing with a Gaussian filter and two components to measure volatility (Average True Range (ATR) and Standard Deviation (SD)). This tool provides traders with a stable and accurate measure of price trends by integrating a Gaussian Filter smoothed using HMA with a customized calculation of volatility. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation
The "HMA Gaussian Volatility Adjusted" indicator incorporates HMA smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
HMA & Gaussian Smoothing:
HMA Calculation (HMA_Length): The script applies a Hull Moving Average (HMA) to smooth the price data over a user-defined period, reducing noise and helping focus on broader market trends.
Gaussian Filter Calculation (Length_Gaussian): The smoothed HMA data is further refined by putting it into a Gaussian filter to incorporate a normal distribution.
Volatility Measurement:
ATR Calculation (ATR_Length, ATR_Factor): The indicator incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the Gaussian, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Calculation (SD_Length): The script calculates the standard deviation of the price over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (SDD, SDU) act as additional indicators of price extremes.
Momentum Calculation & Scoring
When the indicator signals SHORT:
Diff = Price - Upper Boundary of the Standard Deviation (calculated on a Gaussian filter).
When the indicator signals LONG:
Diff = Price - Upper Boundary of the ATR (calculated on a Gaussian filter).
The calculated Diff signals how close the indicator is to changing trends. An EMA is applied to the Diff to smooth the data. Positive momentum occurs when the Diff is above the EMA, and negative momentum occurs when the Diff is below the EMA.
Trend Detection
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands, combined with positive/negative momentum, signals potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs
The "HMA Gaussian Volatility Adjusted" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
HMA Length: Allows traders to adjust the sensitivity of the HMA smoothing to control the amount of noise filtered from the price data.
Gaussian Length: Users can define the length at which the Gaussian filter is applied.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands to adjust for price volatility.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing further customization in detecting price volatility.
EMA Confluence: This input lets traders determine the length of the EMA used to calculate price momentum.
Type of Plot Setting: Allows users to determine how the indicator signal is plotted on the chart (Background color, Trend Lines, BOTH (backgroung color and Trend Lines)).
Transparency: Provides users with customization of the background color's transparency.
Color Long/Short: Offers users the option to choose their preferred colors for both long and short signals.
Summary and Usage Tips
The "HMA Gaussian Volatility Adjusted" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of HMA smoothing, Gaussian filtering, and standard deviation analysis provides a nuanced view of market movements by incorporating various metrics to determine direction, momentum, and volatility. This helps traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs.
Wskaźniki i strategie
Fibonacci Renko Trend - AynetThe "Fibonacci Renko Trend - Aynet" Pine Script combines the Renko charting technique with Fibonacci retracement levels to create a highly customizable and adaptive trend-following tool. Below is a detailed explanation of the script and its components:
Scientific and Trading Applications
Noise Reduction:
By using Renko charts, the script filters out time-based noise and focuses solely on price movement, making it ideal for trend-following strategies.
Adaptability:
The ATR-based box size ensures that the Renko blocks automatically adjust to market volatility, making the tool versatile for different market conditions and asset classes.
Fibonacci-Based Decision Making:
The integration of Fibonacci retracement levels provides a structured framework for identifying key support and resistance levels. Traders can use these levels to anticipate price reversals or continuations.
Visualization:
The color-coded Renko blocks allow traders to quickly identify trends and potential reversals without additional indicators, improving decision-making efficiency.
Possible Improvements
Signal Generation:
Add entry and exit signals when price crosses significant Fibonacci levels or when a trend reversal is detected.
Multi-Timeframe Support:
Extend the script to compute Renko levels and Fibonacci ratios for multiple timeframes simultaneously.
Alerts:
Implement alert notifications for key events, such as trend changes or Fibonacci level breaches.
This script is a robust tool for traders looking to combine the simplicity of Renko charts with the analytical power of Fibonacci retracement levels. It offers a clear visualization of price trends and potential reversal points, making it suitable for both novice and experienced traders.
Average High-Low Multi Time Frame Lines SunilTitle: Multi-Timeframe Average High-Low Levels with Custom Timeframes
Description:
This indicator calculates the average of high and low prices across up to four customizable timeframes. By default, it includes 30 minutes, 1 hour, 3 hours, and 1 day, but you can modify these directly in the input settings to suit your trading strategy.
Features:
Plots average high-low levels for selected timeframes with distinct colors.
Highlights buy zones (green) when the price is above all levels and sell zones (red) when the price is below all levels.
Marks areas where all levels align with a subtle blue background.
Use this tool to identify key levels and potential trading opportunities across multiple timeframes at a glance!
ATR-based TP/SL with Dynamic RREnglish
This indicator combines the power of the Average True Range (ATR) with dynamic calculations for Take Profit (TP) and Stop Loss (SL) levels, offering a clear visualization of trading opportunities and their respective Risk-Reward Ratios (RRR).
Features:
Dynamic TP/SL Calculation:
TP and SL levels are derived using user-defined ATR multipliers for precise positioning.
Multipliers are flexible, allowing traders to adjust according to their strategies.
Risk-Reward Ratio (RRR):
Automatically calculates and displays the RRR for each trade signal.
Helps traders quickly assess if a trade aligns with their risk management plan.
Entry Conditions:
Buy signals occur when the closing price crosses above the 20-period Simple Moving Average (SMA).
Sell signals occur when the closing price crosses below the 20-period SMA.
Visual Aids:
Red and green lines indicate Stop Loss and Take Profit levels.
Blue and orange labels show the RRR for long and short trades, respectively.
How It Works:
The indicator uses the ATR to calculate TP and SL levels:
TP: Adjusted based on the desired Risk-Reward Ratio (RR).
SL: Proportional to the ATR multiplier.
Entry signals are plotted with "BUY" or "SELL" markers, while the respective TP/SL levels are drawn as horizontal lines.
Why Use This Indicator?
Perfect for traders who value precise risk management.
Helps identify trades with favorable RRR (e.g., greater than 1.5 or 2.0).
Ideal for swing traders, day traders, and scalpers looking to automate their decision-making process.
Customization:
ATR Length: Control the sensitivity of ATR-based calculations.
ATR Multipliers: Set the TP and SL distances relative to the ATR.
Desired RRR: Define the risk/reward ratio you aim to achieve.
Important Notes:
The indicator does not place trades automatically; it is for visual and analytical purposes.
Always backtest and combine it with additional analysis for best results.
French
Cet indicateur combine la puissance de l’Average True Range (ATR) avec des calculs dynamiques pour les niveaux de Take Profit (TP) et de Stop Loss (SL), tout en offrant une visualisation claire des opportunités de trading et de leurs Ratios Risque/Rendement (RRR).
Fonctionnalités :
Calcul Dynamique des TP/SL :
Les niveaux de TP et SL sont calculés à l'aide de multiplicateurs ATR définis par l’utilisateur pour une position précise.
Les multiplicateurs sont personnalisables pour s'adapter à votre stratégie de trading.
Ratio Risque/Rendement (RRR) :
Calcule et affiche automatiquement le ratio RRR pour chaque signal de trade.
Permet aux traders d’évaluer rapidement si un trade correspond à leur plan de gestion des risques.
Conditions d'Entrée :
Les signaux d'achat apparaissent lorsque le prix de clôture traverse au-dessus de la moyenne mobile simple (SMA) à 20 périodes.
Les signaux de vente apparaissent lorsque le prix de clôture traverse en dessous de la SMA à 20 périodes.
Aides Visuelles :
Lignes rouges et vertes pour indiquer les niveaux de Stop Loss et de Take Profit.
Étiquettes bleues et orange pour afficher le RRR des trades longs et courts, respectivement.
Comment Cela Fonctionne :
L'indicateur utilise l’ATR pour calculer les niveaux TP et SL :
TP : Calculé dynamiquement en fonction du ratio risque/rendement souhaité (RRR).
SL : Proportionnel au multiplicateur ATR défini par l’utilisateur.
Les signaux d’entrée sont représentés par des étiquettes "BUY" ou "SELL", tandis que les niveaux de TP/SL sont tracés sous forme de lignes horizontales.
Pourquoi Utiliser Cet Indicateur ?
Idéal pour les traders soucieux d’une gestion rigoureuse des risques.
Identifie les opportunités de trades avec des RRR favorables (par exemple, supérieurs à 1.5 ou 2.0).
Convient aux swing traders, day traders et scalpeurs souhaitant automatiser leur processus de décision.
Personnalisation :
Longueur de l’ATR : Contrôlez la sensibilité des calculs basés sur l’ATR.
Multiplicateurs ATR : Ajustez les distances TP et SL par rapport à l’ATR.
Ratio RRR souhaité : Définissez le ratio risque/rendement que vous visez.
Remarques Importantes :
Cet indicateur n’exécute pas de trades automatiquement ; il est destiné à un usage visuel et analytique uniquement.
Toujours backtester et combiner avec une analyse supplémentaire pour de meilleurs résultats.
parametre par type de trading:
1. Pour les Scalpers :
Style de trading : Trades rapides sur de petites variations de prix, souvent sur des unités de temps courtes (1 min, 5 min).
Recommandations de paramètres :
ATR Length : 7 (plus court pour réagir rapidement à la volatilité).
Multiplicateur SL : 1.0 (Stop Loss proche pour limiter les pertes).
RR souhaité : 1.5 à 2.0 (bon équilibre entre risque et récompense).
Résultat attendu : Des trades fréquents, avec une probabilité raisonnable de toucher le TP tout en limitant les pertes.
2. Pour les Day Traders :
Style de trading : Trades qui durent plusieurs heures dans la journée, souvent sur des unités de temps moyennes (15 min, 1h).
Recommandations de paramètres :
ATR Length : 14 (standard pour capturer une volatilité modérée).
Multiplicateur SL : 1.5 (Stop Loss à distance raisonnable pour supporter les fluctuations intrajournalières).
RR souhaité : 2.0 à 3.0 (ciblez une bonne récompense par rapport au risque).
Résultat attendu : Moins de trades, mais un RR élevé pour compenser les pertes potentielles.
3. Pour les Swing Traders :
Style de trading : Trades qui durent plusieurs jours, souvent sur des unités de temps longues (4h, 1 jour).
Recommandations de paramètres :
ATR Length : 20 (pour capturer des mouvements de volatilité plus larges).
Multiplicateur SL : 2.0 (Stop Loss large pour supporter des fluctuations importantes).
RR souhaité : 3.0 ou plus (ciblez de gros mouvements de prix).
Résultat attendu : Des trades moins fréquents mais potentiellement très lucratifs.
4. Pour les Actifs Volatils (Crypto, Commodités) :
Problème spécifique : Les actifs volatils ont souvent des mouvements brusques.
Recommandations de paramètres :
ATR Length : 7 ou 10 (plus court pour suivre rapidement les variations).
Multiplicateur SL : 1.5 à 2.0 (assez large pour ne pas être déclenché prématurément).
RR souhaité : 1.5 à 2.0 (favorisez des récompenses réalistes sur des mouvements volatils).
Résultat attendu : Trades qui s’adaptent à la volatilité sans sortir trop tôt.
5. Pour les Marchés Stables (Indices, Actions Blue Chip) :
Problème spécifique : Les mouvements sont souvent lents et prévisibles.
Recommandations de paramètres :
ATR Length : 14 ou 20 (capture une volatilité modérée).
Multiplicateur SL : 1.0 à 1.5 (Stop Loss serré pour maximiser l’efficacité).
RR souhaité : 2.0 à 3.0 (ciblez des ratios plus élevés sur des mouvements moins fréquents).
Résultat attendu : Maximisation des profits sur des tendances claires.
Recommandation Générale :
Si vous ne savez pas par où commencer, utilisez ces paramètres par défaut :
ATR Length : 14
Multiplicateur SL : 1.5
RR souhaité : 2.0
FibRatiosLibrary "FibRatios"
Library with calculation logic for fib retracement, extension and ratios
retracement(a, b, ratio, logScale, precision)
Calculates the retracement for points a, b with given ratio and scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
ratio (float) : Ratio for which we need to calculate retracement c
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1
Returns: retracement point c for points a,b with given ratio and scale
retracementRatio(a, b, c, logScale, precision)
Calculates the retracement ratio for points a, b, c with given scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3
Returns: retracement ratio for points a,b,c on given scale
extension(a, b, c, ratio, logScale, precision)
Calculates the extensions for points a, b, c with given ratio and scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
ratio (float) : Ratio for which we need to calculate extension d
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is -1
Returns: extensoin point d for points a,b,c with given ratio and scale
extensionRatio(a, b, c, d, logScale, precision)
Calculates the extension ratio for points a, b, c, d with given scale
Parameters:
a (float) : Starting point a
b (float) : Second point b
c (float) : Retracement point. c should be placed between a and b
d (float) : Extension point. d should be placed beyond a, c. But, can be with b,c or beyond b
logScale (bool) : Flag to get calculations in log scale. Default is false
precision (int) : rounding precision. If set to netagive number, round_to_mintick is applied. Default is 3
Returns: extension ratio for points a,b,c,d on given scale
Currency StrengthThis innovative Currency Strength Indicator is a powerful tool for forex traders, offering a comprehensive and visually intuitive way to analyze the relative strength of multiple currencies simultaneously. Here's what makes this indicator stand out:
Extensive Currency Coverage
One of the most striking features of this indicator is its extensive coverage of currencies. While many similar tools focus on just the major currencies, this indicator includes:
Major currencies: USD, EUR, JPY, GBP, CHF, CAD, AUD, NZD
Additional currencies: CNY, HKD, KRW, MXN, INR, RUB, SGD, TRY, BRL, ZAR, THB
This wide range allows traders to gain insights into a broader spectrum of the forex market, including emerging markets and less commonly traded currencies.
Unique Visual Presentation
The indicator boasts a clear and user-friendly interface:
Each currency is represented by a distinct colored line for easy identification
A legend is prominently displayed at the top of the chart, using color-coded labels for quick reference
Users can customize which currencies to display, allowing for a tailored analysis
This clean, organized presentation enables traders to quickly grasp the relative strengths of different currencies at a glance.
Robust Measurement Methodology
The indicator employs the True Strength Index (TSI) to calculate currency strength, which provides several advantages:
TSI is a momentum oscillator that shows both trend direction and overbought/oversold conditions
It uses two smoothing periods (fast and slow), which helps filter out market noise and provides more reliable signals
The indicator calculates TSI for each currency index (e.g., DXY for USD, EXY for EUR), ensuring a comprehensive strength measurement
By using TSI, this indicator offers a more nuanced and accurate representation of currency strength compared to simpler moving average-based indicators.
Customization and Flexibility
Traders can fine-tune the indicator to suit their needs:
Adjustable TSI parameters (fast and slow periods)
Ability to show/hide specific currencies
Customizable color scheme for each currency line
Practical Applications
This Currency Strength Indicator can be used for various trading strategies:
Identifying potential trend reversals when a currency reaches extreme overbought or oversold levels
Spotting divergences between currency pairs
Confirming trends across multiple timeframes
Enhancing multi-pair trading strategies
By providing a clear, comprehensive, and customizable view of currency strength across a wide range of currencies, this indicator equips traders with valuable insights for making informed trading decisions in the complex world of forex.
30-Minute Candle Strategy30-Minute Candle Trading Strategy
This strategy works on a 30-minute candle timeframe. When a new 30-minute candle opens, the following actions will take place based on the previous 30-minute candle's closing price:
Buy Trade Setup:
If the market opens above the previous 30-minute candle's closing price, a buy trade will be executed immediately at the market price.
The stop-loss will be set at the previous 30-minute candle's closing price.
There will be no fixed target.
The trade will be closed 1 minute before the current 30-minute candle closes, regardless of profit or loss.
Sell Trade Setup:
If a buy trade hits the stop-loss and the market moves below the previous 30-minute candle's closing price, a sell trade will be executed immediately at the market price.
The stop-loss for the sell trade will also be set at the previous 30-minute candle's closing price.
There will be no fixed target.
The trade will be closed 1 minute before the current 30-minute candle closes, regardless of profit or loss.
Procedure:
This process will repeat for every 30-minute candle.
If the market crosses the previous 30-minute candle's closing price to the upside, a buy trade will be executed, and the stop-loss will be set at the previous candle's closing price.
If the market crosses the previous 30-minute candle's closing price to the downside, a sell trade will be executed, and the stop-loss will also be set at the previous candle's closing price.
Each trade will be closed 1 minute before the current candle closes.
Key Points:
This strategy applies to every new 30-minute candle.
The stop-loss will always be based on the previous 30-minute candle's closing price.
If a stop-loss is hit, the strategy will automatically switch to the opposite trade (buy to sell or sell to buy) based on market movement crossing the previous candle's closing price.
This is a repetitive and systematic approach to trading, ensuring the rules are followed for every 30-minute candle.
BTC Seasonality Strategy (Weekly)This strategy identifies potential weekend opportunities in Bitcoin (BTC) markets by leveraging the concept of seasonality, entering a position at a predefined time and day, and exiting at a specified time and day.
Key Features
Customizable Time and Day Selection:
Users can select the entry and exit days and corresponding times (in EST).
Directional Flexibility:
The strategy allows traders to choose between long or short positions.
TradingView Compliance:
The script adheres to TradingView's house rules, avoids overly complex conditions, and provides clear user-configurable inputs.
How It Works
The script determines the current weekday and hour in EST, converting TradingView's UTC time for accurate comparisons.
If the current day and hour match the selected entry conditions, a trade (long or short) is opened.
The position is closed when the current day and hour match the specified exit conditions.
Theoretical Basis
Market Seasonality:
The concept of seasonality in financial markets refers to predictable patterns based on time, such as weekends or specific days of the week. Studies have shown that cryptocurrency markets exhibit unique trading behaviors during weekends due to reduced institutional activity and higher retail participation behavioral Biases**:
Retail traders often dominate weekend markets, potentially causing predictable inefficiencies .
Reverences**
Baur, D. G., Hong, K., & Lee, A. D. (2018). Bitcoin: Medium of exchange or speculative assets? Journal of International Financial Markets, Institutions and Money, 54, 177–189.
Urquhart, A. (2016). The inefficiency of Bitcoin. Economics Letters, 148, 80–82.
M200 MultiplesThis script is designed to analyze price trends using moving averages and their multiples. Here's a brief description:
The script calculates and plots:
The 200-period Simple Moving Average (M200): A commonly used indicator to identify long-term trends.
Additionally, it generates multiple lines based on multipliers of the M200 to visualize potential support and resistance levels:
2x M200: Double the 200-period average.
1.5x M200, 1.68x M200, 2.236x M200, and 2.5x M200: Various multipliers to identify intermediate zones of interest.
Visualization
M200 is plotted in blue
Multipliers of M200 are plotted in gray with varying line widths for distinction.
Use Case
Identify key support and resistance levels derived from long-term moving averages.
Combine trend-following techniques with zone-based price action analysis.
This script works well on the daily time frame.
Alans Date Range CalculatorOverview
Setting a date range for backtesting enables you to evaluate your trading strategy under various market conditions. Traders can test a strategy’s performance during specific periods, such as economic downturns, bull markets, or periods of high volatility. This helps assess the trading strategy’s robustness and adaptability across different scenarios.
Specifying years of data instead of just inputting specific start and end dates offers several advantages:
1. **Consistency**: Using a fixed number of years ensures that the testing period is consistent across different strategies or iterations. This makes it easier to compare performance metrics and draw meaningful conclusions.
2. **Flexibility**: Specifying years allows for automatic adjustment of the start date based on the current date or selected end date. This is particularly useful when new data becomes available or when testing on different assets with varying historical data lengths.
3. **Efficiency**: It simplifies updating and retesting strategies. Instead of recalculating specific start dates each time, traders can quickly adjust the number of years to process, making it easier to test strategies over different timeframes.
4. **Comprehensive Analysis**: Broader timeframes defined by years help you evaluate how your strategy performs over multiple market cycles, providing insights into long-term viability and potential weaknesses.
Defining a date range by specifying years allows for more thorough and systematic backtesting, helping traders develop more reliable and effective trading systems.
Alan's Date Range Calculator: A TradingView Pine Script Indicator
Purpose
This Pine Script indicator calculates and displays a date range for backtesting trading strategies. It allows users to specify the number of years to analyze and an end date, then calculates the corresponding start date. Most importantly, users can copy the inputs and function into their own strategies to quickly add a time span feature for backtesting.
Key Features
User-defined input for the number of years to analyze
Customizable end date with a calendar input
Automatic calculation of the start date
Visual display of both start and end dates on the chart
How It Works
User Inputs
Years of Data to Process: An integer input allowing users to specify the number of years for analysis (default: 20, range: 1-100)
End Date: A calendar input for selecting the end date of the analysis period (default: December 31, 2024)
Date Calculation
The script uses a custom function calcStartDate() to determine the start date. It subtracts the specified number of years from the end date's year and sets the start date to January 1st of that year.
Visual Output
The indicator displays two labels on the chart:
Start Date Label: Shows the calculated start date
End Date Label: Displays the user-specified end date
Both labels are positioned horizontally at the bottom of the chart, with the end date label to the right of the start date label.
Applications
This indicator is particularly useful for traders who want to:
Define specific date ranges for backtesting strategies
Quickly visualize the time span of their analysis
Ensure consistent testing periods across different strategies or assets
Customization
Users can easily adjust the analysis period by changing the number of years or selecting a different end date. This flexibility allows for testing strategies across various market conditions and time frames.
Marcel's Dynamic Profit / Loss Calculator for GoldOverview
This Dynamic Risk / Reward Tool for Gold is designed to help traders efficiently plan and manage their trades in the volatile gold market. This script provides a clear visualisation of trade levels (Entry, Stop Loss, Take Profit) while dynamically calculating potential profit and loss. It ensures gold traders can assess their positions with precision, saving time and improving risk management.
Key Features
1. Trade Level Visualisation:
Plots Entry (Blue), Stop Loss (Red), and Take Profit (Green) lines directly on the chart.
Helps you visualise and confirm trade setups quickly which is good for scalping and day trades.
2. Dynamic Risk and Reward Calculations:
Calculates potential profit and loss in real time based on user-defined inputs such as position size, leverage, and account equity.
Displays a summary panel showing risk/reward metrics directly on the chart.
3. Customisable Settings:
Allows you to adjust key parameters like account equity, position size, leverage, and specific price levels for Entry, Stop Loss, and Take Profit.
Defaults are dynamically generated for convenience but remain fully adjustable for flexibility.
How It Works
The script uses gold-specific conventions (e.g., 1 lot = 100 ounces, 1 pip = 0.01 price change) to calculate accurate risk and reward metrics.
It dynamically positions Stop Loss and Take Profit levels relative to the entry price, based on user-defined or default offsets.
A real-time summary panel is displayed in the bottom-right corner of the chart, showing:
Potential Profit: The monetary value if the Take Profit is hit.
Potential Lo
ss: The monetary value if the Stop Loss is hit.
How to Use It
1. Add the script to your chart on a gold trading pair (e.g., XAUUSD).
2. Input your:
Account equity.
Leverage.
Position size (in lots).
Desired En
try Price (default: current close price).
3. Adjust the Stop Loss and Take Profit levels to your strategy, or let the script use default offsets of:
500 pips below the Entry for Stop Loss.
1000 pips above the Entry for Take Profit.
4. Review the plotted levels and the summary panel to confirm your trade aligns with your risk/reward goals.
Why Use This Tool?
Clarity and Precision:
Provides clear trade visuals and financial metrics for confident decision-making.
Time-Saving:
Automates the calculations needed to evaluate trade risk and reward.
Improved Risk Management:
Ensures you never trade without knowing your exact potential loss and gain.
This script is particularly useful for both novice and experienced traders looking to enhance their risk management and trading discipline in the Gold market. Enjoy clearer trades at speed.
RSI Strategy With TP/SL - Lower TFThis Pine Script strategy integrates the Relative Strength Index (RSI) for trade signals with user-defined Take Profit (TP) and Stop Loss (SL) levels. It's designed for flexible application in different market conditions, offering long, short, or dual-direction trading.
Short Description
The strategy uses the RSI to identify overbought and oversold market conditions:
Buy signal: When RSI drops below the specified "Buy Level."
Sell signal: When RSI rises above the "Sell Level."
Additionally, it manages risk and profit targets with:
Take Profit (TP): Exits trades when the price reaches a percentage gain.
Stop Loss (SL): Exits trades to limit losses if the price falls by a certain percentage.
The strategy is versatile and includes options for visualizing performance, monthly profit/loss data, and detailed trade metrics.
How to Use
Set Parameters:
RSI Period: Default is 14. Adjust based on your analysis.
RSI Buy/Sell Levels:
Buy Level: Default is 40. Consider higher levels for conservative entries.
Sell Level: Default is 60. Lower this for earlier exits.
Take Profit (%): Set your profit target (default: 5%).
Stop Loss (%): Set your risk tolerance (default: 2%).
Trade Direction: Choose "Long Only," "Short Only," or "Both."
Interpret Signals:
Buy signals appear when RSI crosses below the buy threshold.
Sell signals appear when RSI crosses above the sell threshold.
Risk Management:
The strategy dynamically calculates TP and SL levels for each trade.
TP/SL is applied using the percentage input based on the entry price.
Monitor Performance:
Review trade statistics in the "Strategy Tester."
Use the monthly performance table to track P/L across months.
Customize Alerts:
Alerts for buy, sell, TP, and SL events can be used to automate notifications.
Key Features
Configurable RSI Settings: Adaptable to various market conditions.
Risk Management: Built-in TP and SL management.
Customizable Trade Direction: Tailored for long-only, short-only, or both directions.
Monthly P/L Table: Visualizes performance trends over time.
Alerts: Notifies when critical trade events occur.
Please do your own research before ase this to your real trading.
Dynamic Support & Resistance based on SMI CrossoverExplanation:
SMI Calculation: The script calculates the Stochastic Momentum Index (SMI) and its signal line using the specified input lengths.
Crossover Detection: It detects when the SMI crosses above (crossUp) or below (crossDown) its signal line.
Period Tracking: The script keeps track of up and down periods based on SMI crossovers. During an up period, it records the lowest low (support), and during a down period, it records the highest high (resistance).
Support and Resistance Levels: When a crossover occurs, it captures the highest or lowest value since the last crossover to define dynamic resistance and support levels.
Midline Calculation: The midline is calculated as the average of the current support and resistance levels.
Buy and Sell Signals: Buy signals are generated when the close price crosses above the midline, and sell signals are generated when it crosses below.
Plotting: The support, resistance, and midline are plotted on the upper chart. Buy and sell signals are indicated with arrows. Trendlines are added for visual clarity.
Note: This indicator should be used in conjunction with other analysis tools and is intended for educational purposes. Always perform thorough analysis before making trading decisions.
Like all technical indicators, this script is based on historical data and may not predict future market movements.
Always perform due diligence and consider multiple factors when making trading decisions.
DI Oscillator with Adjustments by DSPDI Oscillator with Adjustments by DSP – High-Volatility Commodity Trading Tool 📈💥
Maximize Your Trading Efficiency in volatile commodity markets with the DI Oscillator with Adjustments by DSP. This unique indicator combines the classic +DI and -DI (Directional Indicators) with advanced adjustments that help you identify key trends and reversals in highly volatile conditions.
Whether you're trading commodities, forex, or stocks, this tool is engineered to help you navigate price fluctuations and make timely, informed decisions. Let this powerful tool guide you through turbulent market conditions with ease!
Key Features:
Dynamic Background Color Shifts 🌈:
Green Background: Signals a strong uptrend where +DI is clearly above -DI, and the trend is supported by clear separation between the two indicators.
Red Background: Signals a strong downtrend where -DI is above +DI, indicating bearish pressure.
Violet Background: Shows a neutral or consolidating market where the +DI and -DI lines are closely interwoven, giving you a clear picture of sideways movement.
Buy and Sell Labels 📊:
Buy Signal: Automatically triggers when the background changes to green, indicating a potential entry point during a bullish trend.
Sell Signal: Automatically triggers when the background shifts from purple to red, indicating a bearish trend reversal.
Labels are positioned away from the bars, ensuring your chart remains uncluttered and easy to read.
Enhanced Adjustments for Volatile Markets ⚡:
Custom adjustments based on consecutive green or red bars (excluding “sandwiched” bars) provide you with more nuanced signals, improving the accuracy of trend detection in volatile conditions.
Horizontal Line Reference 📏:
Set a custom horizontal level to mark significant price levels that may act as resistance or support, helping you identify key price points in volatile market swings.
Separation Threshold 🧮:
A custom separation threshold defines when the +DI and -DI lines are far enough apart to confirm a strong trend. This is crucial for commodity markets that experience rapid price changes and fluctuations.
Visual Clarity ✨:
Both +DI and -DI lines are plotted clearly in green and red, respectively, with a dedicated background color system that makes trend shifts visually intuitive.
Why This Indicator Works for Volatile Commodities 🌍📊:
Commodity markets are notorious for their volatility, with prices often experiencing rapid and unpredictable movements. This indicator gives you clear visual cues about trend strength and reversals, enabling you to act quickly and confidently.
By adjusting the +DI based on consecutive green and red bars, this tool adapts to the specific price action in high-volatility conditions, helping you stay ahead of the curve.
The background color system ensures that you can visually track market trends at a glance, making it easier to make split-second decisions without missing opportunities.
How to Use:
Add the Indicator: Simply add the DI Oscillator with Adjustments by DSP to your TradingView chart.
Watch for Background Color Shifts: Stay alert for the background color to shift from violet to green (for buy) or purple to red (for sell), signaling potential trade opportunities.
Set Alerts: Receive notifications when background color changes, providing you with real-time alerts to keep track of market movements.
Interpret the DI Lines: Use the +DI and -DI lines to gauge trend strength and adjust your strategy accordingly.
Who Can Benefit:
Day Traders: Take advantage of quick trend reversals and high volatility in commodities markets, such as gold, oil, or agricultural products.
Swing Traders: Identify key trend shifts over longer periods, making it easier to enter or exit trades during major price movements.
Risk Managers: Use this tool’s visual cues to better understand price fluctuations and adjust your position sizes according to market conditions.
💡 Unlock Your Potential with the DI Oscillator 💡
For traders in high-volatility commodity markets, this indicator is a game-changer. It simplifies the complexity of trend analysis and gives you the actionable insights you need to make fast, profitable decisions. Whether you're trading gold, oil, or other volatile commodities, the DI Oscillator with Adjustments by DSP can help you navigate market chaos and make better-informed trades.
Don’t miss out — enhance your trading strategy today with this powerful tool and stay ahead in any market environment!
Advanced 5-Candle Pattern PredictorThis advanced indicator uses machine learning techniques and multiple analysis methods to predict potential bullish or bearish moves based on the last 5 candles. It combines volume analysis, momentum indicators, and pattern recognition to generate high-probability trading signals.
Key Features:
- Sophisticated 5-candle pattern analysis
- Volume-confirmed signals
- Multi-timeframe trend analysis
- Advanced momentum tracking
- Real-time probability scoring
How It Works:
The indicator analyzes multiple factors for each candle:
1. Body/wick ratios and relationships
2. Volume correlation with price movement
3. Momentum shifts between candles
4. Trend strength and direction
5. Technical indicator confluence (RSI, MACD)
Signals are generated only when:
- Pattern probability exceeds the threshold (default 75%)
- Volume confirms the movement
- Multiple technical factors align
- Trend strength supports the direction
Parameters:
- Probability Threshold: Minimum probability required for signal generation (0.6-1.0)
- Volume Threshold: Required volume multiplication factor (1.0-3.0)
Visual Feedback:
- Green line: Bullish probability
- Red line: Bearish probability
- Gray dashed line: Threshold level
- Large green/red arrows: High-probability signals
- Detailed information table showing current probabilities and signals
Usage Tips:
1. Higher threshold values generate fewer but potentially more reliable signals
2. Look for confluence between probability scores and volume confirmation
3. Use in conjunction with your regular trading strategy for confirmation
4. Best used on timeframes 15m and above for more reliable patterns
Warning:
Past performance does not guarantee future results. This indicator should be used as part of a complete trading strategy with proper risk management.
Stock_Cloud-EMA,VWAP,ST Indicator_V1Stock_Cloud V1 - EMA, VWAP, SuperTrend Strategy Indicator
This indicator combines three powerful technical indicators (EMA, VWAP, and SuperTrend) to create a comprehensive trading system that helps identify high-probability trading setups when all components align.
Strategy Components & Logic:
• EMA (Exponential Moving Average): Acts as a dynamic support/resistance and trend direction indicator
• VWAP (Volume Weighted Average Price): Provides important institutional price levels and volume-based trend strength
• SuperTrend: Offers trend direction and potential reversal points
Why These Components Work Together:
1. EMA filters out market noise while maintaining responsiveness to price changes
2. VWAP adds volume-based price validation, especially useful for intraday trading
3. SuperTrend confirms trend direction and potential reversal points
4. When all three indicators align, it creates a high-probability setup
Signal Generation:
• Bullish Signal: Generated when price crosses above all three indicators (EMA, VWAP, and SuperTrend turns bullish)
• Bearish Signal: Generated when price crosses below all three indicators (EMA, VWAP, and SuperTrend turns bearish)
• Background color changes help visualize the current market condition
Settings:
- EMA Length: 20 (default, adjustable)
- SuperTrend Period: 10 (default, adjustable)
- SuperTrend Multiplier: 3.0 (default, adjustable)
How to Use:
1. Look for potential entries when all three indicators align
2. Small triangles mark key entry points when alignment occurs
3. Use background color as additional confirmation
4. Monitor price action relative to all three indicators for exit signals
Best Timeframes:
Works well on all timeframes, but particularly effective on 5-minute to daily charts for stocks and indices.
Note: This indicator combines traditional technical analysis tools in a unique way to provide clear, actionable signals. Always use proper risk management and consider other factors like market conditions and support/resistance levels.
Created by Stock_Cloud
Version 2.0
McCrayTrendTraders often rely on price breaking above or below the 50-day moving average (50D-MA) as a buy/sell signal. However, this approach frequently results in false breakouts, especially during low-volatility periods when price compression precedes major moves. To address this issue, we use an 8-day exponential moving average (8D-EMA) to represent price and focus on the crossovers between the 8D-EMA and the 48D-EMA as entry/exit signals. This method reduces noise in low-volatility conditions, enables earlier trend entries, and helps traders stay in trends longer.
The indicator incorporates a 111-day EMA (111D-EMA) to define market bias:
• Above the 111D-EMA: Bias is long, favoring buying and selling into cash.
• Below the 111D-EMA: Bias is short, favoring selling and buying into cash.
An exception to this rule occurs when a bullish cross happens within 40% of the 200-week moving average (200W-MA), as these conditions historically signal optimal times to acquire BTC.
Signals:
Buy signals:
• A bullish cross while price is above the 111D-EMA.
• A bullish cross near the 200W-MA threshold (optional setting).
Sell signals:
• A bearish cross while price is below the 111D-EMA.
Exit signals:
• Both EMAs turn red (for long trades) or green (for short trades).
• The shading between the 111D-EMA and 200W-MA turns red (for longs) or green (for shorts), if enabled.
Reversal opportunities:
• A buy or sell label during an exit signal may indicate a reversal point, allowing traders to take profit and reopen positions in the opposite direction.
The methodology behind this indicator has generated 132% alpha since October 6, 2015. Special thanks to Anurag Parashar for refining the stylistic elements of the indicator.
Enigma UnlockedENIGMA Indicator: A Comprehensive Market Bias & Success Tracker
The ENIGMA Indicator is a powerful tool designed for traders who aim to identify market bias, track price movements, and evaluate trade performance using multiple timeframes. It combines multiple indicators and advanced logic to provide real-time insights into market trends, helping traders make more informed decisions.
Key Features
1. Multi-Timeframe Bias Calculation:
The ENIGMA Indicator tracks the market bias across multiple timeframes—Daily (D), 4-Hour (H4), 1-Hour (H1), 30-Minute (30M), 15-Minute (15M), 5-Minute (5M), and 1-Minute (1M).
How the Bias is Created:
The Bias is a key feature of the ENIGMA Indicator and is determined by comparing the current price with previous price levels for each timeframe.
- Bullish Bias (1): The market is considered **bullish** if the **current closing price** is higher than the **previous timeframe’s high**. This suggests that the market is trending upwards, and buyers are in control.
- Bearish Bias (-1): The market is considered **bearish** if the **current closing price** is lower than the **previous timeframe’s low**. This suggests that the market is trending downwards, and sellers are in control.
- Neutral Bias (0): The market is considered **neutral** if the price is between the **previous high** and **previous low**, indicating indecision or a range-bound market.
This bias calculation is performed independently for each timeframe. The **Bias** for each timeframe is then displayed in the **Bias Table** on your chart, providing a clear view of market direction across multiple timeframes.
2. **Customizable Table Display:**
- The indicator provides a table that displays the bias for each selected timeframe, clearly marking whether the market is **Bullish**, **Bearish**, or **Neutral**.
- Users can choose where to place the table on the chart: top-left, top-right, bottom-left, bottom-right, or center positions, allowing for easy and personalized chart management.
3. **Win/Loss Tracker:**
- The table also tracks the **success rate** of **buy** and **sell** trades based on price retests of key bias levels.
- For each period (Day, Week, Month), it tracks how often the price has moved in the direction of the initial bias, counting **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses**.
- This helps traders assess the effectiveness of the market bias over time and adjust their strategies accordingly.
#### **How the Success Calculation Determines the Success Rate:**
The **Success Calculation** is designed to track how often the price follows the direction of the market bias. It does this by evaluating how the price retests key levels associated with the identified market bias:
1. **Buy Success Calculation**:
- The success of a **Buy Trade** is determined when the price breaks above the **previous high** after a **bullish bias** has been identified.
- If the price continues to move higher (i.e., makes a new high) after breaking the previous high, the **buy trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Buy Win**.
2. **Sell Success Calculation**:
- The success of a **Sell Trade** is determined when the price breaks below the **previous low** after a **bearish bias** has been identified.
- If the price continues to move lower (i.e., makes a new low) after breaking the previous low, the **sell trade is considered successful**.
- The indicator tracks how many times this condition is met and counts it as a **Sell Win**.
3. **Failure Calculations**:
- If the price does not move as expected (i.e., it does not continue in the direction of the identified bias), the trade is considered a **loss** and is tracked as **Buy Loss** or **Sell Loss**, depending on whether it was a bullish or bearish trade.
The ENIGMA Indicator keeps a running tally of **Buy Wins**, **Sell Wins**, **Buy Losses**, and **Sell Losses** over a set period (which can be customized to Days, Weeks, or Months). These statistics are updated dynamically in the **Bias Table**, allowing you to track your success rate in real-time and gain insights into the effectiveness of the market bias.
#### **Customizable Period Tracking:**
- The ENIGMA Indicator allows you to set custom tracking periods (e.g., 30 days, 2 weeks, etc.). The performance metrics reset after each tracking period, helping you monitor your success in different market conditions.
5. **Interactive Settings:**
- **Lookback Period**: Define how many bars the indicator should consider for bias calculations.
- **Success Tracking**: Set the number of candles to track for calculating the win/loss performance.
- **Time Threshold**: Set a time threshold to help define the period during which price retests are considered valid.
- **Info Tooltip**: You can enable the information tool in the settings to view detailed explanations of how wins and losses are calculated, ensuring you understand how the indicator works and how the results are derived.
#### **How to Use the ENIGMA Indicator:**
1. **Install the Indicator**:
- Add the ENIGMA Indicator to your chart. It will automatically calculate and display the bias for multiple timeframes.
2. **Interpret the Bias Table**:
- The bias table will show whether the market is **Bullish**, **Bearish**, or **Neutral** across different timeframes.
- Look for alignment between the timeframes—when multiple timeframes show the same bias, it may indicate a stronger trend.
3. **Use the Win/Loss Tracker**:
- Track how well your trades align with the bias using the **Win/Loss Tracker**. This helps you refine your strategy by understanding which timeframes and biases lead to higher success rates.
- For example, if you see a high number of **Buy Wins** and a low number of **Sell Wins**, you may decide to focus more on buying during bullish trends and avoid selling during bearish retracements.
4. **Track Your Period Performance**:
- The indicator will automatically track your performance over the set period (Days, Weeks, Months). Use this data to adjust your approach and evaluate the effectiveness of your trading strategy.
5. **Position the Table**:
- Customize the placement of the table on your chart based on your preferences. You can choose from options like **Top Left**, **Top Right**, **Bottom Left**, **Bottom Right**, or **Center** to keep the chart uncluttered.
6. **Adjust Settings**:
- Modify the indicator settings according to your trading style. You can adjust the **Lookback Period**, **Number of Candles to Track**, and **Time Threshold** to match the pace of your trading.
7. **Use the Info Tooltip**:
- Enable the **Info Tool** in the settings to understand how the Buy/Sell Wins and Losses are calculated. The tooltip provides a breakdown of how the indicator tracks price movements and calculates the success rate.
**Conclusion:**
The **ENIGMA Indicator** is designed to help traders make informed decisions by providing a clear view of the market bias and performance data. With the ability to track bias across multiple timeframes and evaluate your trading success, it can be a powerful tool for refining your trading strategies.
Whether you're looking to focus on a single timeframe or analyze multiple timeframes for a stronger bias, the ENIGMA Indicator adapts to your needs, providing both real-time market insights and performance feedback.
16. SMC Strategy with SL - low TimeframeOverview
The "SMC Strategy with SL - low Timeframe" is a comprehensive trading strategy that uses key concepts from Smart Money Theory to identify favorable areas in the market for buying or selling. This strategy takes advantage of price imbalances, support and resistance zones, and swing highs/lows to generate high-probability trade signals.
The key features of this strategy include:
Swing High/Low Analysis: Used to determine the Premium, Equilibrium, and Discount Zones.
Order Block Integration: An added layer of confluence to identify valid buy and sell signals.
Trend Direction Confirmation: Using a Simple Moving Average (SMA) to determine the overall trend.
Entry and Exit Rules: Based on price position relative to key zones and moving average, along with optional stop-loss and take-profit levels.
Detailed Description
Swing High and Swing Low Analysis
The script calculates Swing High and Swing Low based on the most recent price highs and lows over a specified look-back period (swingHighLength and swingLowLength, set to 8 by default).
It then derives the Premium, Equilibrium, and Discount Zones:
Premium Zone: Represents potential resistance, calculated based on recent swing highs.
Discount Zone: Represents potential support, calculated based on recent swing lows.
Equilibrium: The midpoint between Swing High and Swing Low, dividing the price range into Premium (above equilibrium) and Discount (below equilibrium) areas.
Zone Visualization
The strategy plots the Premium Zone (resistance) in red, the Discount Zone (support) in green, and the Equilibrium level in blue on the chart. This helps visually assess the current price relative to these important areas.
Simple Moving Average (SMA)
A 50-period Simple Moving Average (SMA) is added to help identify the trend direction.
Buy signals are valid only if the price is above the SMA, indicating an uptrend.
Sell signals are valid only if the price is below the SMA, indicating a downtrend.
Entry Rules
The script generates buy or sell signals when certain conditions are met:
A buy signal is triggered when:
Price is below the Equilibrium and within the Discount Zone.
Price is above the SMA.
The buy signal is further confirmed by the presence of an Order Block (recent lowest price area).
A sell signal is triggered when:
Price is above the Equilibrium and within the Premium Zone.
Price is below the SMA.
The sell signal is further confirmed by the presence of an Order Block (recent highest price area).
Order Block
The strategy defines Order Blocks as recent highs and lows within a look-back period (orderBlockLength set to 20 by default).
These blocks represent areas where large players (smart money) have historically been active, increasing the probability of the price reacting in these areas again.
Trade Management and Trade Direction
The user can set Trade Direction to either "Long Only," "Short Only," or "Both." This allows the strategy to adapt based on market conditions or trading preferences.
Based on the Trade Direction, the strategy either:
Closes open trades that are against new signals.
Allows only specific directional trades (either long or short).
Stop-loss levels are defined based on a fixed percentage (stop_loss_percent), which helps to manage risk and minimize losses.
Exit Rules
The strategy uses stop-loss levels for risk management.
A stop-loss price is set at a fixed percentage below the entry price for long positions or above the entry price for short positions.
When the price hits the defined stop-loss level, the trade is closed.
Liquidity Zones
The script identifies recent Swing Highs and Lows as potential liquidity zones. These are levels where price could react strongly, as they represent areas of interest for large traders.
The liquidity zones are plotted as crosses on the chart, marking areas where price may encounter significant buying or selling pressure.
Visual Feedback
The script uses visual markers (green for buy signals and red for sell signals) to indicate potential entries on the chart.
It also plots liquidity zones to help traders identify areas where stop hunts and liquidity grabs might occur.
Monthly Performance Dashboard
The script includes a performance tracking feature that displays monthly profit and loss metrics on the chart.
This dashboard allows the trader to see a visual representation of trading performance over time, providing insights into profitability and consistency.
The table shows profit or loss for each month and year, allowing the user to track the overall success of the strategy.
Key Benefits
Smart Money Concepts (SMC): This strategy incorporates SMC principles like order blocks and liquidity zones, which are used by institutional traders to determine potential market moves.
Zone Analysis: The use of Premium, Discount, and Equilibrium zones provides a solid framework for determining where to enter and exit trades based on price discounts or premiums.
Confluence: Signals are not taken in isolation. They are confirmed by factors like trend direction (SMA) and order blocks, providing greater trade accuracy.
Risk Management: By integrating stop-loss functionality, traders can manage their risks effectively.
Visual Performance Metrics: The monthly and yearly performance dashboard gives valuable feedback on how well the strategy has performed historically.
Practical Use
Buy in Discount Zone: Traders would be looking to buy when the price is discounted relative to its recent range and is above the SMA, indicating an overall uptrend.
Sell in Premium Zone: Conversely, traders would be looking to sell when the price is at a premium relative to its recent range and below the SMA, indicating an overall downtrend.
Order Block Confirmation: Ensures that buying or selling is supported by historical price behavior at significant levels, providing confidence that the market is likely to react at these areas.
This strategy is designed to help traders take advantage of price inefficiencies and areas where institutional traders are likely to be active, increasing the odds of successful trades. By leveraging Smart Money concepts and strong technical confluence, it aims to provide high-probability trade setups.
Volume-Based Candle Coloringk线会根据当前成交量高低产生渐变色，帮助你更轻松识别重要的k线。
请使用空心蜡烛图，否则该指标无法显示。
The candlestick colors will transition based on the current trading volume, making it easier for you to identify significant candlesticks.
Please use hollow candlesticks; otherwise, this indicator will not display properly.
simple swing indicator-KTRNSE:NIFTY
1. Pivot High/Low as Lines:
Purpose: Identifies local peaks (pivot highs) and troughs (pivot lows) in price and draws horizontal lines at these levels.
How it Works:
A pivot high occurs when the price is higher than the surrounding bars (based on the pivotLength parameter).
A pivot low occurs when the price is lower than the surrounding bars.
These pivots are drawn as horizontal lines at the price level of the pivot.
Visualization:
Pivot High: A red horizontal line is drawn at the price level of the pivot high.
Pivot Low: A green horizontal line is drawn at the price level of the pivot low.
Example:
Imagine the price is trending up, and at some point, it forms a peak. The script identifies this peak as a pivot high and draws a red line at the price of that peak. Similarly, if the price forms a trough, the script will draw a green line at the low point.
2. Moving Averages (20-day and 50-day):
Purpose: Plots the 20-day and 50-day simple moving averages (SMA) on the chart.
How it Works:
The 20-day SMA smooths the closing price over the last 20 days.
The 50-day SMA smooths the closing price over the last 50 days.
These lines provide an overview of short-term and long-term price trends.
Visualization:
20-day SMA: A blue line showing the 20-day moving average.
50-day SMA: An orange line showing the 50-day moving average.
Example:
When the price is above both moving averages, it indicates an uptrend. If the price crosses below these averages, it might signal a downtrend.
3. Supertrend:
Purpose: The Supertrend is an indicator based on the Average True Range (ATR) and is used to track the market trend.
How it Works:
When the market is in an uptrend, the Supertrend line will be green.
When the market is in a downtrend, the Supertrend line will be red.
Visualization:
Uptrend: The Supertrend line will be plotted in green.
Downtrend: The Supertrend line will be plotted in red.
Example:
If the price is above the Supertrend, the market is considered to be in an uptrend, and if the price is below the Supertrend, the market is in a downtrend.
4. Momentum (Rate of Change):
Purpose: Measures the rate at which the price changes over a set period, showing if the momentum is positive or negative.
How it Works:
The Rate of Change (ROC) measures how much the price has changed over a certain number of periods (e.g., 14).
Positive ROC indicates upward momentum, and negative ROC indicates downward momentum.
Visualization:
Positive ROC: A purple line is plotted above the zero line.
Negative ROC: A purple line is plotted below the zero line.
Example:
If the ROC line is above zero, it means the price is increasing, suggesting bullish momentum. If the ROC is below zero, it indicates bearish momentum.
5. Volume:
Purpose: Displays the volume of traded assets, giving insight into the strength of price movements.
How it Works:
The script will color the volume bars based on whether the price closed higher or lower than the previous bar.
Green bars indicate bullish volume (closing price higher than the previous bar), and red bars indicate bearish volume (closing price lower than the previous bar).
Visualization:
Bullish Volume: Green volume bars when the price closes higher.
Bearish Volume: Red volume bars when the price closes lower.
Example:
If you see a green volume bar, it suggests that the market is participating in an uptrend, and the price has closed higher than the previous period. Red bars indicate a downtrend or selling pressure.
6. MACD (Moving Average Convergence Divergence):
Purpose: The MACD is a trend-following momentum indicator that shows the relationship between two moving averages of the price.
How it Works:
The MACD Line is the difference between the 12-period EMA (Exponential Moving Average) and the 26-period EMA.
The Signal Line is the 9-period EMA of the MACD Line.
The MACD Histogram shows the difference between the MACD line and the Signal line.
Visualization:
MACD Line: A blue line representing the difference between the 12-period and 26-period EMAs.
Signal Line: An orange line representing the 9-period EMA of the MACD line.
MACD Histogram: A red or green histogram that shows the difference between the MACD line and the Signal line.
Example:
When the MACD line crosses above the Signal line, it’s considered a bullish signal. When the MACD line crosses below the Signal line, it’s considered a bearish signal.
Full Chart Example:
Imagine you're looking at a price chart with all the indicators:
Pivot High/Low Lines are drawn as red and green horizontal lines.
20-day and 50-day SMAs are plotted as blue and orange lines, respectively.
Supertrend shows a green or red line indicating the trend.
Momentum (ROC) is shown as a purple line oscillating around zero.
Volume bars are green or red based on whether the close is higher or lower.
MACD appears as a blue line and orange line, with a red or green histogram showing the MACD vs. Signal line difference.
How the Indicators Work Together:
Trend Confirmation: If the price is above the Supertrend line and both SMAs are trending up, it indicates a strong bullish trend.
Momentum: If the ROC is positive and the MACD line is above the Signal line, it further confirms bullish momentum.
Volume: Increasing volume, especially with green bars, suggests that the trend is being supported by active participation.
By using these combined indicators, you can get a comprehensive view of the market's trend, momentum, and potential reversal points (via pivot highs and lows).
Yakloft Support and Resistance LevelsYakloft Support and Resistance Levels Indicator
The Yakloft Support and Resistance Levels indicator is a powerful tool designed to help traders identify key support and resistance levels on a price chart. By leveraging advanced pivot point calculations and customizable settings, this indicator provides clear visual cues for potential price reversals and market trends.
Key Features
Automatic Support and Resistance Levels:
Dynamic Calculation: The indicator automatically identifies and plots significant support and resistance levels based on pivot highs and lows.
Customizable Strength: Adjust the S/R Strength parameter to filter levels according to their significance. Higher values display fewer but more robust levels.
Zones Around Levels:
Support and Resistance Zones: Create zones around each support and resistance level to highlight areas of interest rather than exact price points.
High/Low Zones: Plot zones around the highest and lowest price levels within a specified period, providing additional context for potential breakouts or reversals.
Zone Width Adjustment: Customize the width of the zones using the Zone Width % parameter, calculated as a percentage of the price range over the last 300 bars.
Line Styles and Fills:
Customizable Appearance: Modify line colors, styles (Solid, Dotted, Dashed), and widths to match your chart preferences.
Line Fills: Enhance visual clarity by filling zones with semi-transparent colors, making it easier to distinguish between support and resistance areas.
Dynamic Line Management:
Automatic Line Removal: To keep your chart uncluttered, the indicator removes a support or resistance line after the price crosses it twice. This feature helps you focus on the most relevant and current levels.
Expandable Lines:
Line Extension: Choose to extend lines both forward and backward in time with the Expand S/R Lines option, providing a comprehensive view of historical support and resistance.
How It Works
The indicator analyzes price data to identify pivot highs and lows over a specified lookback period. These pivot points are potential areas where the price may reverse or experience significant support or resistance. By filtering these points based on the S/R Strength parameter, the indicator ensures that only the most significant levels are displayed.
Once the levels are identified:
Support Levels: Plotted when the price shows potential to stop falling and possibly start rising.
Resistance Levels: Plotted when the price may stop rising and potentially start falling.
The indicator enhances these levels by:
Adding Zones: By creating a buffer around each level, traders can see areas where the price might interact with support or resistance, rather than focusing on a single price point.
Line Fills: The zones are filled with a semi-transparent color corresponding to support or resistance, improving visual distinction.
Input Parameters
Enable Support & Resistance: Toggle the entire indicator on or off.
Support Color: Choose the color for support lines and fills.
Resistance Color: Choose the color for resistance lines and fills.
S/R Strength: Set the sensitivity of level detection. Higher values result in fewer, more significant levels.
Line Style: Select the style of the support and resistance lines (Solid, Dotted, Dashed).
S/R Line Width: Adjust the thickness of the support and resistance lines.
Enable Zones: Toggle the display of zones around each level.
Enable High/Low Zones: Toggle the display of zones around the highest and lowest price levels.
Zone Width %: Define the width of the zones as a percentage of the price range over the last 300 bars.
Expand S/R Lines: Choose whether to extend the lines across the entire chart or limit them to recent data.
Using the Indicator
Identifying Key Levels:
Use the plotted support and resistance levels to identify potential entry and exit points.
Pay attention to the zones, as they represent areas where the price is more likely to react.
Monitoring Price Interaction:
Observe how the price behaves around the support and resistance levels.
The automatic removal of lines after two crossings helps focus on active levels.
Customizing for Clarity:
Adjust the visual settings to match your trading style and improve chart readability.
Experiment with the S/R Strength and Zone Width % to fine-tune the indicator to different market conditions.
Best Practices
Combine with Other Analysis Tools:
Use the indicator alongside other technical analysis tools like trend lines, moving averages, and oscillators for a more comprehensive market view.
Adjust for Different Timeframes:
The indicator works on various timeframes. Adjust the parameters when switching between short-term and long-term charts to maintain effectiveness.
Stay Updated with Market Conditions:
Market volatility can affect the significance of support and resistance levels. Regularly adjust the S/R Strength parameter to align with current market dynamics.
Limitations
Not a Standalone Solution:
While the indicator provides valuable insights, it should not be used in isolation. Always consider broader market analysis and risk management practices.
Historical Data Dependency:
The accuracy of the levels depends on the availability of sufficient historical data. Ensure your chart includes enough data for the indicator to perform effectively.
Adaptive DEMA Momentum Oscillator (ADMO)Overview:
The Adaptive DEMA Momentum Oscillator (ADMO) is an open-source technical analysis tool developed to measure market momentum using a Double Exponential Moving Average (DEMA) and adaptive standard deviation. By dynamically combining price deviation from the moving average with normalized standard deviation, ADMO provides traders with a powerful way to interpret market conditions.
Key Features:
Double Exponential Moving Average (DEMA):
The core calculation of the indicator is based on DEMA, which is known for being more responsive to price changes compared to traditional moving averages. This makes the ADMO capable of capturing trend momentum effectively.
Standard Deviation Integration:
A normalized standard deviation is used to adaptively weight the oscillator. This makes the indicator more sensitive to market volatility, enhancing responsiveness during high volatility and reducing sensitivity during calmer periods.
Oscillator Representation:
The final oscillator value is derived from the combination of the DEMA-based Z-score and the normalized standard deviation. This final value is visualized as a color-coded histogram, reflecting bullish or bearish momentum.
Color-Coded Histogram:
Bullish Momentum: Values above zero are colored using a customizable bullish color (default: light green).
Bearish Momentum: Values below zero are colored using a customizable bearish color (default: red).
How It Works:
Inputs:
DEMA Length: Defines the period used for calculating the Double Exponential Moving Average. It can be adjusted from 1 to 200 to suit different trading styles.
Standard Deviation Length: Sets the lookback period for standard deviation calculations, which influences the responsiveness of the oscillator.
Standard Deviation Weight (StdDev Weight): Controls the weight given to the normalized standard deviation, allowing customization of the oscillator's sensitivity to volatility.
Calculation Steps:
Double Exponential Moving Average Calculation:
The DEMA is calculated using two exponential moving averages, which helps in reducing lag compared to a simple moving average.
Z-score Calculation:
The Z-score is derived by comparing the difference between the DEMA and its smoothed average (LSMA) to the standard deviation. This indicates how far the current value is from the mean in units of standard deviation.
Normalized Standard Deviation:
The standard deviation is normalized by subtracting the mean standard deviation and dividing by the standard deviation of the values. This helps to make the oscillator adaptive to recent changes in volatility.
Final Oscillator Value:
The final value is calculated by multiplying the Z-score with a factor based on the normalized standard deviation, resulting in a momentum indicator that adapts to different market conditions.
Visualization:
Histogram: The oscillator is plotted as a histogram, with color-coded bars showing the strength and direction of market momentum.
Positive (bullish) values are shown in green, indicating upward momentum.
Negative (bearish) values are shown in red, indicating downward momentum.
Zero Line: A zero line is plotted to provide a reference point, helping users quickly determine whether the current momentum is bullish or bearish.
Example Use Cases:
Momentum Identification:
ADMO helps identify the current market momentum by dynamically adapting to changes in market volatility. When the histogram is above zero and green, it indicates bullish conditions, whereas values below zero and red suggest bearish momentum.
Volatility-Adjusted Signals:
The normalized standard deviation weighting allows the ADMO to provide more reliable signals during different market conditions. This makes it particularly useful for traders who want to be responsive to market volatility while avoiding false signals.
Trend Confirmation and Divergence:
ADMO can be used to confirm the strength of a trend or identify potential divergences between price and momentum. This helps traders spot potential reversal points or continuation signals.
Summary:
The Adaptive DEMA Momentum Oscillator (ADMO) offers a unique approach by combining momentum analysis with adaptive standard deviation. The integration of DEMA makes it responsive to price changes, while the standard deviation adjustment helps it stay relevant in both high and low volatility environments. It's a versatile tool for traders who need an adaptive, momentum-based approach to technical analysis.
Feel free to explore the code and adapt it to your trading strategy. The open-source nature of this tool allows you to adjust the settings and visualize the output to fit your personal trading preferences.
