Holt-Winters Forecast BandsDescription:
The Holt-Winters Adaptive Bands indicator combines seasonal trend forecasting with adaptive volatility bands. It uses the Holt-Winters triple exponential smoothing model to project future price trends, while Nadaraya-Watson smoothed bands highlight dynamic support and resistance zones.
This indicator is ideal for traders seeking to predict future price movements and visualize potential market turning points. By focusing on broader seasonal and trend data, it provides insight into both short- and long-term market directions. It’s particularly effective for swing trading and medium-to-long-term trend analysis on timeframes like daily and 4-hour charts, although it can be adjusted for other timeframes.
Key Features:
Holt-Winters Forecast Line: The core of this indicator is the Holt-Winters model, which uses three components — level, trend, and seasonality — to project future prices. This model is widely used for time-series forecasting, and in this script, it provides a dynamic forecast line that predicts where price might move based on historical patterns.
Adaptive Volatility Bands: The shaded areas around the forecast line are based on Nadaraya-Watson smoothing of historical price data. These bands provide a visual representation of potential support and resistance levels, adapting to recent volatility in the market. The bands' fill colors (red for upper and green for lower) allow traders to identify potential reversal zones without cluttering the chart.
Dynamic Confidence Levels: The indicator adapts its forecast based on market volatility, using inputs such as average true range (ATR) and price deviations. This means that in high-volatility conditions, the bands may widen to account for increased price movements, helping traders gauge the current market environment.
How to Use:
Forecasting: Use the forecast line to gain insight into potential future price direction. This line provides a directional bias, helping traders anticipate whether the price may continue along a trend or reverse.
Support and Resistance Zones: The shaded bands act as dynamic support and resistance zones. When price enters the upper (red) band, it may be in an overbought area, while the lower (green) band may indicate oversold conditions. These bands adjust with volatility, so they reflect the current market conditions rather than fixed levels.
Timeframe Recommendations:
This indicator performs best on daily and 4-hour charts due to its reliance on trend and seasonality. It can be used on lower timeframes, but accuracy may vary due to increased price noise.
For traders looking to capture swing trades, the daily and 4-hour timeframes provide a balance of trend stability and signal reliability.
Adjustable Settings:
Alpha, Beta, and Gamma: These settings control the level, trend, and seasonality components of the forecast. Alpha is generally the most sensitive setting for adjusting responsiveness to recent price movements, while Beta and Gamma help fine-tune the trend and seasonal adjustments.
Band Smoothing and Deviation: These settings control the lookback period and width of the volatility bands, allowing users to customize how closely the bands follow price action.
Parameters:
Prediction Length: Sets the length of the forecast, determining how far into the future the prediction line extends.
Season Length: Defines the seasonality cycle. A setting of 14 is typical for bi-weekly cycles, but this can be adjusted based on observed market cycles.
Alpha, Beta, Gamma: These parameters adjust the Holt-Winters model's sensitivity to recent prices, trends, and seasonal patterns.
Band Smoothing: Determines the smoothing applied to the bands, making them either more reactive or smoother.
Ideal Use Cases:
Swing Trading and Trend Following: The Holt-Winters model is particularly suited for capturing larger market trends. Use the forecast line to determine trend direction and the bands to gauge support/resistance levels for potential entries or exits.
Identifying Reversal Zones: The adaptive bands act as dynamic overbought and oversold zones, giving traders potential reversal areas when price reaches these levels.
Important Notes:
No Buy/Sell Signals: This indicator does not produce direct buy or sell signals. It’s intended for visual trend analysis and support/resistance identification, leaving trade decisions to the user.
Not for High-Frequency Trading: Due to the nature of the Holt-Winters model, this indicator is optimized for higher timeframes like the daily and 4-hour charts. It may not be suitable for high-frequency or scalping strategies on very short timeframes.
Adjust for Volatility: If using the indicator on lower timeframes or more volatile assets, consider adjusting the band smoothing and prediction length settings for better responsiveness.
Forecasting
RSI-EMA Signal by stock shooter## Strategy Description: 200 EMA Crossover with RSI, Green/Red Candles, Volume, and Exit Conditions
This strategy combines several technical indicators to identify potential long and short entry opportunities in a trading instrument. Here's a breakdown of its components:
1. 200-period Exponential Moving Average (EMA):
* The 200-period EMA acts as a long-term trend indicator.
* The strategy looks for entries when the price is above (long) or below (short) the 200 EMA.
2. Relative Strength Index (RSI):
* The RSI measures the momentum of price movements and helps identify overbought and oversold conditions.
* The strategy looks for entries when the RSI is below 40 (oversold) for long positions and above 60 (overbought) for short positions.
3. Green/Red Candles:
* This indicator filters out potential entries based on the current candle's closing price relative to its opening price.
* The strategy only considers long entries on green candles (closing price higher than opening) and short entries on red candles (closing price lower than opening).
4. Volume:
* This indicator adds a volume filter to the entry conditions.
* The strategy only considers entries when the current candle's volume is higher than the average volume of the previous 20 candles, aiming for stronger signals.
Overall:
This strategy aims to capture long opportunities during potential uptrends and short opportunities during downtrends, based on a combination of price action, momentum, and volume confirmation.
Important Notes:
Backtesting is crucial to evaluate the historical performance of this strategy before deploying it with real capital.
Consider incorporating additional risk management techniques like stop-loss orders.
This strategy is just a starting point and can be further customized based on your trading goals and risk tolerance.
Samih Signal AV V2The Samih Signal VA indicator is built for traders who prioritize technical analysis to determine market entry and exit points. It combines signals based on volume, moving averages, the Volume Weighted Average Price (VWAP), and identifies specific candlestick patterns, such as the Pin Bar and Inside Bar. This indicator assists in spotting optimal moments to buy or sell by analyzing trends, volume activity, and nearby liquidity zones.
Parameters and Features:
Simple Moving Average (MA) and VWAP:
Samih Signal VA uses a 50-period simple moving average for trend identification, paired with VWAP to refine price analysis with volume-weighted data.
Together, these components reveal whether the market is trending upward or downward, strengthening the reliability of entry and exit signals.
Volume Threshold:
A volume filter is applied by calculating a 20-period moving average, then setting a threshold at 1.2 times this average volume. This filter helps prevent false signals, focusing only on periods of increased market interest.
Candlestick Pattern Recognition:
Pin Bar: Detects this popular reversal/continuation pattern in both bullish and bearish scenarios, indicating potential entry or exit points.
Inside Bar: Identifies this pattern, which represents a moment of price compression and indecision, often preceding a breakout.
Trend Identification:
The indicator defines an uptrend when the price remains above both the MA and VWAP. A downtrend is confirmed when the price stays below these indicators.
Liquidity Zone Detection:
Samih Signal VA includes a feature to approximate liquidity zones, identifying recent support and resistance levels. Recognizing when prices approach these areas enhances the accuracy of buy or sell signals.
Buy and Sell Signal Logic:
Buy Signal: Triggered when a bullish Pin Bar or Inside Bar appears in an uptrend with high volume and proximity to a liquidity zone.
Sell Signal: Generated when a bearish Pin Bar or Inside Bar is detected in a downtrend with high volume, near a liquidity zone.
Signal Display on the Chart:
The indicator marks buy signals with a green “BUY” label below the bar, and sell signals with a red “SELL” label above the bar, directly on the chart for immediate clarity.
Summary:
The Samih Signal VA is suited for traders focused on precise entries and exits, integrating trend analysis, volume metrics, and candlestick patterns. By identifying liquidity zones, this indicator reduces the likelihood of false signals and provides clear buy and sell alerts.
This description can be easily added to TradingView to help users understand the features and decision-making logic of the Samih Signal VA indicator. Let me know if you’d like any additional adjustments!
Direction Coefficient Indicator# Direction Coefficient Indicator with Advanced Volume & Volatility Adjustments
The Direction Coefficient Indicator represents an advanced technical analysis tool that combines price momentum analysis with sophisticated volume and volatility adjustments. This versatile indicator measures market direction while adapting to various trading conditions, making it valuable for both trend following and momentum trading strategies.
At its core, the indicator employs a unique approach to price analysis by establishing a dynamic reference period for calculations. It processes price data through an EMA smoothing mechanism to reduce market noise and presents results as percentage-based measurements, ensuring universal applicability across different markets and timeframes.
One of the indicator's standout features is its volume integration system. When enabled, this system implements volume-weighted calculations that provide enhanced accuracy during significant market moves while effectively reducing false signals during low-volume periods. This volume weighting mechanism proves particularly valuable in highly liquid markets where volume plays a crucial role in price movement validation.
The volatility adjustment feature sets this indicator apart from traditional momentum tools. By incorporating smart volatility normalization, the indicator adapts seamlessly to changing market conditions. This adjustment helps maintain consistent signals across different volatility regimes, preventing excessive noise during highly volatile periods while remaining sensitive enough during calmer market phases.
Direction change detection forms another crucial component of the indicator. The system continuously monitors momentum shifts and provides early warning signals for potential trend reversals. This feature helps traders avoid late exits from positions and offers valuable insights for potential market turning points. When the indicator detects significant changes in momentum, it displays a warning symbol (⚠) alongside its regular signals.
The visual presentation of the indicator utilizes an intuitive color-coded system. Green labels indicate positive momentum, while red labels signify negative momentum. The display system includes customizable label sizes and positions, allowing traders to adapt the visual elements to their specific chart setup and preferences. Label distance from candles, color schemes, and reference lines can all be adjusted to create an optimal visual experience.
For practical application, the indicator offers several parameter settings that traders can adjust. The time period parameters include adjustable lookback periods and EMA length, while advanced calculation options allow for enabling or disabling volume weighting and volatility adjustment features. These parameters can be fine-tuned based on specific trading timeframes and market conditions.
In trend following scenarios, traders can use the coefficient direction for trend confirmation while monitoring warning signals for potential exits. The volume weighting feature adds another layer of confirmation for trend strength. For momentum trading, strong coefficient readings can signal entry points, while warning signals help identify potential exit timing.
Risk management becomes more systematic with this indicator. Warning signals can guide stop loss placement, while the volatility adjustment feature assists in position sizing decisions. The volume weighting component helps traders evaluate the significance of price moves, contributing to more informed entry timing decisions.
The indicator performs optimally when traders start with default settings and gradually adjust parameters based on their specific needs. For longer-term trades, increasing the lookback period often provides more stable signals. In highly liquid markets, enabling volume weighting can enhance signal quality. The volatility adjustment feature proves particularly valuable during unstable market conditions.
The Direction Coefficient Indicator stands as a comprehensive solution for traders seeking a sophisticated yet practical approach to market analysis. By combining multiple analytical components into a single, customizable tool, it provides valuable insights while remaining accessible to traders of various experience levels.
For optimal results, traders should consider using this indicator in conjunction with other technical analysis tools while paying attention to its warning signals and volume-weighted insights. Regular parameter adjustment based on changing market conditions and specific trading styles will help maximize the indicator's effectiveness in various trading scenarios.
Indicateur de Coefficient Directeur
L'Indicateur de Coefficient Directeur représente un outil d'analyse technique avancé qui combine l'analyse de momentum des prix avec des ajustements sophistiqués de volume et de volatilité. Cet indicateur polyvalent mesure la direction du marché tout en s'adaptant à diverses conditions de trading, le rendant précieux tant pour le suivi de tendance que pour les stratégies de trading momentum.
À sa base, l'indicateur emploie une approche unique de l'analyse des prix en établissant une période de référence dynamique pour les calculs. Il traite les données de prix à travers un mécanisme de lissage EMA pour réduire le bruit du marché et présente les résultats sous forme de mesures en pourcentage, assurant une applicabilité universelle à travers différents marchés et temporalités.
L'une des caractéristiques distinctives de l'indicateur est son système d'intégration du volume. Lorsqu'il est activé, ce système met en œuvre des calculs pondérés par le volume qui fournissent une précision accrue pendant les mouvements significatifs du marché tout en réduisant efficacement les faux signaux pendant les périodes de faible volume. Ce mécanisme de pondération du volume s'avère particulièrement valuable dans les marchés très liquides où le volume joue un rôle crucial dans la validation des mouvements de prix.
La fonction d'ajustement de la volatilité distingue cet indicateur des outils de momentum traditionnels. En incorporant une normalisation intelligente de la volatilité, l'indicateur s'adapte parfaitement aux conditions changeantes du marché. Cet ajustement aide à maintenir des signaux cohérents à travers différents régimes de volatilité, empêchant le bruit excessif pendant les périodes très volatiles tout en restant suffisamment sensible pendant les phases de marché plus calmes.
La détection des changements de direction forme une autre composante cruciale de l'indicateur. Le système surveille continuellement les changements de momentum et fournit des signaux d'avertissement précoces pour les potentiels renversements de tendance. Cette fonctionnalité aide les traders à éviter les sorties tardives des positions et offre des aperçus précieux des potentiels points de retournement du marché. Lorsque l'indicateur détecte des changements significatifs de momentum, il affiche un symbole d'avertissement (⚠) à côté de ses signaux réguliers.
La présentation visuelle de l'indicateur utilise un système intuitif codé par couleurs. Les étiquettes vertes indiquent un momentum positif, tandis que les étiquettes rouges signifient un momentum négatif. Le système d'affichage inclut des tailles et positions d'étiquettes personnalisables, permettant aux traders d'adapter les éléments visuels à leur configuration spécifique de graphique et leurs préférences. La distance des étiquettes par rapport aux bougies, les schémas de couleurs et les lignes de référence peuvent tous être ajustés pour créer une expérience visuelle optimale.
Pour l'application pratique, l'indicateur offre plusieurs paramètres de réglage que les traders peuvent ajuster. Les paramètres de période temporelle incluent des périodes de référence ajustables et la longueur de l'EMA, tandis que les options de calcul avancées permettent d'activer ou de désactiver les fonctionnalités de pondération du volume et d'ajustement de la volatilité. Ces paramètres peuvent être affinés en fonction des temporalités de trading spécifiques et des conditions de marché.
Dans les scénarios de suivi de tendance, les traders peuvent utiliser la direction du coefficient pour la confirmation de tendance tout en surveillant les signaux d'avertissement pour les sorties potentielles. La fonction de pondération du volume ajoute une couche supplémentaire de confirmation pour la force de la tendance. Pour le trading momentum, des lectures fortes du coefficient peuvent signaler des points d'entrée, tandis que les signaux d'avertissement aident à identifier le timing potentiel de sortie.
La gestion du risque devient plus systématique avec cet indicateur. Les signaux d'avertissement peuvent guider le placement des stops loss, tandis que la fonction d'ajustement de la volatilité aide aux décisions de dimensionnement des positions. La composante de pondération du volume aide les traders à évaluer l'importance des mouvements de prix, contribuant à des décisions de timing d'entrée plus éclairées.
L'indicateur fonctionne de manière optimale lorsque les traders commencent avec les paramètres par défaut et ajustent progressivement les paramètres en fonction de leurs besoins spécifiques. Pour les trades à plus long terme, l'augmentation de la période de référence fournit souvent des signaux plus stables. Dans les marchés très liquides, l'activation de la pondération du volume peut améliorer la qualité des signaux. La fonction d'ajustement de la volatilité s'avère particulièrement précieuse pendant les conditions de marché instables.
L'Indicateur de Coefficient Directeur s'impose comme une solution complète pour les traders recherchant une approche sophistiquée mais pratique de l'analyse de marché. En combinant plusieurs composantes analytiques en un seul outil personnalisable, il fournit des aperçus précieux tout en restant accessible aux traders de différents niveaux d'expérience.
Pour des résultats optimaux, les traders devraient envisager d'utiliser cet indicateur en conjonction avec d'autres outils d'analyse technique tout en prêtant attention à ses signaux d'avertissement et ses aperçus pondérés par le volume. L'ajustement régulier des paramètres basé sur les conditions changeantes du marché et les styles de trading spécifiques aidera à maximiser l'efficacité de l'indicateur dans divers scénarios de trading.
Financial X-RayThe Financial X-Ray is an advanced indicator designed to provide a thorough analysis of a company's financial health and market performance. Its primary goal is to offer investors and analysts a quick yet comprehensive overview of a company's financial situation by combining various key financial ratios and metrics.
How It Works
Data Collection: The indicator automatically extracts a wide range of financial data for the company, covering aspects such as financial strength, profitability, valuation, growth, and operational efficiency.
Sector-Specific Normalization: A unique feature of this indicator is its ability to normalize metrics based on the company's industry sector. This approach allows for more relevant comparisons between companies within the same sector, taking into account industry-specific characteristics.
Standardized Scoring: Each metric is converted to a score on a scale of 0 to 10, facilitating easy comparison and rapid interpretation of results.
Multidimensional Analysis: The indicator doesn't focus on just one financial dimension but offers an overview by covering several crucial aspects of a company's performance.
Fair Value Calculation: Using financial data and market conditions, the indicator provides an estimate of the company's fair value, offering a reference point for assessing current valuation.
Visual Presentation: Results are displayed directly on the TradingView chart in a tabular format, allowing for quick and efficient reading of key information.
Advantages for Users
Time-Saving: Instead of manually collecting and analyzing numerous financial data points, users get an instant comprehensive overview.
Contextual Analysis: Sector-specific normalization allows for a better understanding of the company's performance relative to its peers.
Flexibility: Users can choose which metrics to display, customizing the analysis to their specific needs.
Objectivity: By relying on quantitative data and standardized calculations, the indicator offers an objective perspective on the company's financial health.
Decision Support: The fair value estimate and normalized scores provide valuable reference points for investment decision-making.
Customization and Evolution
One of the major strengths of this indicator is its open-source nature. Users can modify the code to adjust normalization methods, add new metrics, or adapt the display to their preferences. This flexibility allows the indicator to evolve and continuously improve through community contributions.
In summary, the Financial X-Ray is a powerful tool that combines automation, contextual analysis, and customization to provide investors with a clear and comprehensive view of companies' financial health, facilitating informed decision-making in financial markets.
This Financial X-Ray indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The data and calculations used in this indicator may not be accurate or up-to-date. Users should always conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses or damages resulting from its use.
Asset Correlation with XAU/USD (Macroeconomics X Gold)This Pine Script calculates the correlation of economic assets with gold (XAU/USD), including indicators such as the DXY, the S&P 500, the US 10-year yield (US10Y), oil (USOIL), the USD/JPY pair, and the AUD/USD pair. The goal is to analyze the impact of these variables on the price of gold, particularly in a macroeconomic context.
Main Features:
Asset Monitoring: The script monitors 24-hour variations of six key assets (DXY, S&P 500, US10Y, USOIL, USDJPY, AUDUSD), along with the price of XAU/USD.
Percentage Change Calculation: The percentage change for each asset is calculated based on the previous day's close, compared to the most recent 5-minute close.
Direction Determination: The direction of each asset (whether the change is positive, negative, or neutral) is calculated and used to determine the potential impact on the price of gold.
Interactive Tables: The results of directions, variations, and impacts are displayed in a table on the screen, with each asset being evaluated by its weight (influence on gold) and direction. The table also includes arrows indicating the impact of each asset on the price of gold, based on the correlation between them.
Dominance: The overall dominance of gold is calculated based on the weights and directions of the assets, generating a result that reflects whether gold is trending upwards or downwards due to the other observed assets. An arrow symbol indicates whether the dominance is positive (⬆️), negative (⬇️), or neutral (—).
Table Details:
The table displays the monitored assets, their assigned weights, the direction (arrows up, down, or neutral), the percentage change of each asset, and the impact of these assets on the price of gold.
The last column shows the "dominance" overall, with the final impact of these assets on the direction of the XAU/USD price.
Usage: This script is useful for traders and analysts who want to monitor how different macroeconomic factors (such as the value of the dollar, the S&P 500, US interest rates, oil prices, and currency pairs) influence the price of gold. It provides a clear view of how these assets correlate with gold, helping to make more informed decisions in the market.
For a better view of the table, right-click on >> visual order >> bring it to the top.
Asset Corr. with BTC/USD (Macroeconomics X BTC)This indicator provides a comprehensive analysis of the correlation between multiple assets (DXY, Gold, S&P 500, US10Y, and USDT Dominance) and their potential impact on the BTC/USD price. The script calculates the 24-hour percentage variation of these assets, determines their direction (bullish, bearish, or neutral), and displays this information in a table, helping traders assess how each asset is influencing BTC.
How the Script Works:
Asset Monitoring:
The script tracks the following assets:
DXY: The U.S. Dollar Index.
Gold (XAUUSD): The price of gold in U.S. dollars.
S&P 500 (SP500): A stock market index of U.S. companies.
US10Y: U.S. 10-year treasury yield.
USDT Dominance (USDT.D): The market dominance of USDT (Tether) in the crypto market.
Variation Calculation:
The script calculates the percentage variation for each asset over the last 24 hours using the close price of the previous day and the current close price on the 5-minute chart.
Based on the variation, the script determines the direction of each asset:
Bullish (1): Positive variation.
Bearish (-1): Negative variation.
Neutral (0): No significant change.
Impact Assessment:
The script uses weighted values for each asset to calculate its potential impact on BTC. The assets are given different weights:
DXY = 3
Gold = 2
S&P 500 = 2
US10Y = 3
USDT.D = 3
The direction and correlation of each asset are assessed to determine whether they are having a positive or negative impact on BTC. This impact is represented by arrows in the table.
Table Display:
The script displays a table on the chart, providing detailed information for each asset:
Asset: The name of the asset being analyzed.
Weight (Wgt): The assigned weight of the asset.
Direction (Dir): The current direction of the asset (up, down, or neutral).
24h Variation (Var %): The percentage change of the asset over the last 24 hours.
BTC Impact: The predicted impact of each asset on BTC, based on its direction and correlation.
Dominance Calculation:
A final "Dominance" score is calculated by summing the weighted values of each asset's direction and correlation with BTC.
This result is displayed in the table, providing a clear indication of whether the overall market sentiment is bullish or bearish for BTC.
How to Use the Script:
Add the Indicator: Apply the script to any chart with a 5-minute timeframe. The indicator works by analyzing the correlation of multiple assets with BTC, so it is best used for short-term traders looking to gauge BTC's price movement based on broader market trends.
Interpret the Table: The table shows the direction, variation, and impact of each asset on BTC. The "Dominance" row at the end of the table provides an overall sentiment score, helping traders understand whether the broader market is leaning bullish or bearish on BTC.
Monitor the Correlation: By tracking the assets with the highest weights and monitoring their influence on BTC, traders can make informed decisions on potential BTC price movements.
Key Concepts:
Asset Correlation: The script monitors multiple key assets that typically influence BTC's price, including the U.S. Dollar Index, Gold, S&P 500, US10Y, and USDT Dominance.
Impact Assessment: Uses weighted calculations to assess how each asset’s direction affects BTC.
Dominance Score: Provides a summary score of overall market sentiment, helping traders understand the broader influence on BTC.
Short-Term Trading: This tool is optimized for short-term traders who want to gauge market sentiment and its effect on BTC in real time.
For a better view of the table, right-click on >> visual order >> bring it to the top.
Asset Correlation Prediction Table with EMA & RSI This indicator helps traders monitor short-term trends and predict the next 5-minute candle direction for two assets: USD/JPY and AUD/USD. The prediction is based on a combination of two Exponential Moving Averages (EMAs) and the Relative Strength Index (RSI), offering a simple yet effective method for forecasting price movements.
How the Script Works:
Trend Detection:
EMAs: The script uses two EMAs—one with a 9-period length and another with a 14-period length—to detect trends. A bullish trend is identified when the price is above both EMAs, while a bearish trend is indicated when the price is below both EMAs.
RSI: The script also utilizes the RSI with a 14-period length. An RSI value above 70 signals an overbought condition, and a value below 30 signals an oversold condition. This helps to confirm or reject the trend based on momentum and price conditions.
Next-Candle Prediction:
The script predicts the direction of the next 5-minute candle based on the relationship between the current price, the EMAs, and the RSI values. A bullish prediction is made if both EMAs are trending upwards and the RSI is not overbought. A bearish prediction occurs when both EMAs are trending downward, and the RSI is not oversold.
Table Display:
The script displays a real-time table at the top-right of the chart with the following columns:
Asset: The currency pair being analyzed (USD/JPY or AUD/USD).
EMA & RSI Trend Prediction: Indicates the current trend based on the EMAs and RSI.
Direction: Shows whether the current trend is up, down, or neutral.
Next Candle: A prediction of the likely direction of the next 5-minute candle (bullish, bearish, or neutral).
How to Use the Script:
Add the Indicator: Apply the script to any chart with a 5-minute timeframe. While optimized for USD/JPY and AUD/USD, the script can be adapted to other assets by adjusting the symbol.
Interpret the Table: The table displays the current trend direction and the predicted movement of the next candle. Traders can use these predictions to guide short-term entries and exits.
Customization: Traders can modify the EMA and RSI periods and RSI threshold values to adjust the script for different trading strategies or asset characteristics.
Key Concepts:
Trend Detection: Uses EMAs and RSI to identify the current market trend (bullish, bearish, or neutral).
Next-Candle Prediction: Provides a prediction for the next 5-minute candle’s direction based on trend analysis.
Simple and Effective: Combines well-known indicators (EMA and RSI) for a straightforward trading tool suitable for short-term traders and scalpers.
Central Bank Liquidity YOY % Change - Second DerivativeThis indicator measures the acceleration or deceleration in the yearly growth rate of central bank liquidity.
By calculating the year-over-year percentage change of the YoY growth rate, it highlights shifts in the pace of liquidity changes, providing insights into market momentum or potential reversals influenced by central bank actions.
This can help reveal impulses in liquidity by identifying changes in the growth rate's acceleration or deceleration. When central bank liquidity experiences a rapid increase or decrease, the second derivative captures these shifts as sharp upward or downward movements.
These impulses often signal pivotal liquidity shifts, which may correspond to major policy changes, market interventions, or financial stability measures, offering an early signal of potential market impacts.
CAGR ProjectionThe CAGR Projection Indicator is a tool designed to visualize the potential growth of an asset over time based on a specified annual growth rate. This indicator overlays a projection line on the price chart, allowing traders and investors to compare actual price movements with a hypothetical growth trajectory.
One of the key features of this indicator is the ability for users to input their expected annual growth rate as a percentage. This flexibility allows for various scenarios to be modeled, from conservative estimates to more optimistic projections. Additionally, the indicator allows users to set a specific start date for the projection, enabling analysis from any chosen point in time.
The projection calculation is dynamic, adjusting for different timeframes and updating with each new bar on the chart. The indicator initializes either at the specified start date or when the first valid price is encountered. Using the initial price as a base, the indicator calculates the projected price for each subsequent bar using the compound growth formula. The calculation accounts for the specific timeframe of the chart, ensuring accurate projections regardless of whether the chart displays daily, weekly, or other intervals.
The projected growth is plotted as a blue line on the chart, providing a clear visual comparison between the actual price movement and the hypothetical growth trajectory. This visual representation makes it easy for users to quickly assess how an asset is performing relative to the expected growth rate.
This tool has several practical applications. Investors can use it to set realistic growth targets for their investments. By comparing actual price movements to the projection line, users can quickly assess if an asset is outperforming or underperforming relative to the expected growth rate. Furthermore, multiple instances of the indicator can be used with different growth rates to visualize various potential outcomes, facilitating scenario analysis.
The indicator also offers customization options, such as displaying a label showing the annual growth rate used for the projection, and the ability to adjust the color of the projection line to suit individual preferences or chart setups.
In summary, this CAGR Projection indicator serves as a valuable tool for both long-term investors and traders, offering a simple yet effective way to visualize potential growth scenarios and assess investment performance over time. It combines ease of use with powerful analytical capabilities, making it a useful addition to any trader's or investor's toolkit.
Crypto Wallets Profitability & Performance [LuxAlgo]The Crypto Wallets Profitability & Performance indicator provides a comprehensive view of the financial status of cryptocurrency wallets by leveraging on-chain data from IntoTheBlock. It measures the percentage of wallets profiting, losing, or breaking even based on current market prices.
Additionally, it offers performance metrics across different timeframes, enabling traders to better assess market conditions.
This information can be crucial for understanding market sentiment and making informed trading decisions.
🔶 USAGE
🔹 Wallets Profitability
This indicator is designed to help traders and analysts evaluate the profitability of cryptocurrency wallets in real-time. It aggregates data gathered from the blockchain on the number of wallets that are in profit, loss, or breaking even and presents it visually on the chart.
Breaking even line demonstrates how realized gains and losses have changed, while the profit and the loss monitor unrealized gains and losses.
The signal line helps traders by providing a smoothed average and highlighting areas relative to profiting and losing levels. This makes it easier to identify and confirm trading momentum, assess strength, and filter out market noise.
🔹 Profitability Meter
The Profitability Meter is an alternative display that visually represents the percentage of wallets that are profiting, losing, or breaking even.
🔹 Performance
The script provides a view of the financial health of cryptocurrency wallets, showing the percentage of wallets in profit, loss, or breaking even. By combining these metrics with performance data across various timeframes, traders can gain valuable insights into overall wallet performance, assess trend strength, and identify potential market reversals.
🔹 Dashboard
The dashboard presents a consolidated view of key statistics. It allows traders to quickly assess the overall financial health of wallets, monitor trend strength, and gauge market conditions.
🔶 DETAILS
🔹 The Chart Occupation Option
The chart occupation option adjusts the occupation percentage of the chart to balance the visibility of the indicator.
🔹 The Height in Performance Options
Crypto markets often experience significant volatility, leading to rapid and substantial gains or losses. Hence, plotting performance graphs on top of the chart alongside other indicators can result in a cluttered display. The height option allows you to adjust the plotting for balanced visibility, ensuring a clearer and more organized chart.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
Chart Occupation %: Adjust the occupation percentage of the chart to balance the visibility of the indicator.
🔹 Profiting Wallets
Profiting Percentage: Toggle to display the percentage of wallets in profit.
Smoothing: Adjust the smoothing period for the profiting percentage line.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the profiting percentage.
🔹 Losing Wallets
Losing Percentage: Toggle to display the percentage of wallets in loss.
Smoothing: Adjust the smoothing period for the losing percentage line.
Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the losing percentage.
🔹 Breaking Even Wallets
Breaking-Even Percentage: Toggle to display the percentage of wallets breaking even.
Smoothing: Adjust the smoothing period for the breaking-even percentage line.
🔹 Profitability Meter
Profitability Meter: Enable or disable the meter display, set its width, and adjust the offset.
🔹 Performance
Performance Metrics: Choose the timeframe for performance metrics (Day to Date, Week to Date, etc.).
Height: Adjust the height of the chart visuals to balance the visibility of the indicator.
🔹 Dashboard
Block Profitability Stats: Toggle the display of profitability stats.
Performance Stats: Toggle the display of performance stats.
Dashboard Size and Position: Customize the size and position of the performance dashboard on the chart.
🔶 RELATED SCRIPTS
Market-Sentiment-Technicals
Multi-Chart-Widget
Systematic Investment Tracker by Ceyhun Gonul### English Description
**Systematic Investment Tracker with Enhanced Features**
This script, titled **Systematic Investment Tracker with Enhanced Features**, is a TradingView tool designed to support systematic investments across different market conditions. It provides traders with two customizable investment strategies — **Continuous Buying** and **Declining Buying** — and includes advanced dynamic investment adjustment features for each.
#### Detailed Explanation of Script Features and Originality
1. **Two Investment Strategies**:
- **Continuous Buying**: This strategy performs purchases consistently at each interval, as set by the user, regardless of market price changes. It follows the principle of dollar-cost averaging, allowing users to build an investment position over time.
- **Declining Buying**: Unlike Continuous Buying, this strategy triggers purchases only when the asset's price has declined from the previous interval's closing price. This approach helps users capitalize on lower price points, potentially improving average costs during downward trends.
2. **Dynamic Investment Adjustment**:
- For both strategies, the script includes a **Dynamic Investment Adjustment** feature. If enabled, this feature increases the purchasing amount by 50% if the current price has fallen by a specific user-defined percentage relative to the previous price. This allows users to accumulate a larger position when the asset is declining, which may benefit long-term cost-averaging strategies.
3. **Customizable Time Frames**:
- Users can specify a **start and end date** for investment, allowing them to restrict or backtest strategies within a specific timeframe. This feature is valuable for evaluating strategy performance over specific market cycles or historical periods.
4. **Graphical Indicators and Labels**:
- The script provides graphical labels on the chart that display purchase points. These indicators help users visualize their investment entries based on the strategy selected.
- A summary **performance label** is also displayed, providing real-time updates on the total amount spent, accumulated quantity, average cost, portfolio value, and profit percentage for each strategy.
5. **Language Support**:
- The script includes English and Turkish language options. Users can toggle between these languages, allowing the summary label text and descriptions to be displayed in their preferred language.
6. **Performance Comparison Table**:
- An optional **Performance Comparison Table** is available, offering a side-by-side analysis of net profit, total investment, and profit percentage for both strategies. This comparison table helps users assess which strategy has yielded better returns, providing clarity on each approach's effectiveness under the chosen parameters.
#### How the Script Works and Its Uniqueness
This closed-source script brings together two established investment strategies in a single, dynamic tool. By integrating continuous and declining purchase strategies with advanced settings for dynamic investment adjustment, the script offers a powerful, flexible tool for both passive and active investors. The design of this script provides unique benefits:
- Enables automated, systematic investment tracking, allowing users to build positions gradually.
- Empowers users to leverage declines through dynamic adjustments to optimize average cost over time.
- Presents an easy-to-read performance label and table, enabling an efficient and transparent performance comparison for informed decision-making.
---
### Türkçe Açıklama
**Gelişmiş Özellikli Sistematik Yatırım Takipçisi**
**Gelişmiş Özellikli Sistematik Yatırım Takipçisi** adlı bu TradingView scripti, çeşitli piyasa koşullarında sistematik yatırım stratejilerini desteklemek üzere tasarlanmış bir araçtır. Script, kullanıcıya iki özelleştirilebilir yatırım stratejisi — **Sürekli Alım** ve **Düşen Alım** — ve her strateji için gelişmiş dinamik yatırım ayarlama seçenekleri sunar.
#### Script Özelliklerinin Detaylı Açıklaması ve Özgünlük
1. **İki Yatırım Stratejisi**:
- **Sürekli Alım**: Bu strateji, fiyat değişimlerine bakılmaksızın kullanıcının belirlediği her aralıkta sabit bir miktar yatırım yapar. Bu yaklaşım, uzun vadede pozisyonu kademeli olarak oluşturmak isteyenler için idealdir.
- **Düşen Alım**: Sürekli Alım’ın aksine, bu strateji yalnızca fiyat bir önceki aralığın kapanış fiyatına göre düştüğünde alım yapar. Bu yöntem, yatırımcıların daha düşük fiyatlardan alım yaparak ortalama maliyeti potansiyel olarak iyileştirmelerine yardımcı olur.
2. **Dinamik Yatırım Ayarlaması**:
- Her iki strateji için de **Dinamik Yatırım Ayarlaması** özelliği bulunmaktadır. Bu özellik aktif edildiğinde, mevcut fiyatın bir önceki fiyata göre kullanıcı tarafından belirlenen bir yüzde oranında düşmesi durumunda alım miktarını %50 artırır. Bu durum, uzun vadede maliyet ortalaması stratejilerine katkıda bulunur.
3. **Özelleştirilebilir Tarih Aralığı**:
- Kullanıcılar, yatırımı belirli bir tarih aralığında sınırlandırmak veya test etmek için bir **başlangıç ve bitiş tarihi** belirleyebilir. Bu özellik, strateji performansını geçmiş piyasa döngüleri veya belirli dönemlerde değerlendirmek için kullanışlıdır.
4. **Grafiksel İşaretleyiciler ve Etiketler**:
- Script, grafik üzerinde alım noktalarını gösteren işaretleyiciler sağlar. Bu görsel göstergeler, kullanıcıların seçilen stratejiye göre yatırım girişlerini görselleştirmesine yardımcı olur.
- Ayrıca, her strateji için harcanan toplam tutar, biriken miktar, ortalama maliyet, portföy değeri ve kâr yüzdesi gibi bilgileri gerçek zamanlı olarak gösteren bir **performans etiketi** sunar.
5. **Dil Desteği**:
- Script, İngilizce ve Türkçe dillerini desteklemektedir. Kullanıcılar, performans etiketi metninin ve açıklamalarının tercih ettikleri dilde görüntülenmesi için dil seçimini yapabilir.
6. **Performans Karşılaştırma Tablosu**:
- İsteğe bağlı olarak kullanılabilen bir **Performans Karşılaştırma Tablosu**, her iki strateji için net kâr, toplam yatırım ve kâr yüzdesi gibi bilgileri yan yana analiz eder. Bu tablo, kullanıcıların hangi stratejinin daha yüksek getiri sağladığını değerlendirmesine yardımcı olur.
#### Scriptin Çalışma Prensibi ve Özgünlüğü
Bu script, iki yatırım stratejisini gelişmiş bir araçta birleştirir. Sürekli ve düşen fiyatlara dayalı alım stratejilerini dinamik yatırım ayarlama özelliğiyle entegre ederek yatırımcılar için güçlü ve esnek bir çözüm sunar. Script’in tasarımı aşağıdaki benzersiz faydaları sağlamaktadır:
- Otomatik, sistematik yatırım takibi yaparak kullanıcıların pozisyonlarını kademeli olarak oluşturmalarına olanak tanır.
- Dinamik ayarlama ile düşüşlerden yararlanarak zaman içinde ortalama maliyeti optimize etme olanağı sağlar.
- Her iki stratejinin performansını basit ve anlaşılır bir şekilde karşılaştıran etiket ve tablo ile verimli bir performans değerlendirmesi sunar.
VolbandsThe Volbands indicator dynamically plots upper and lower volatility bands based on implied daily moves derived from volatility indices. This tool provides a visual forecast of the next trading day's price range, helping traders anticipate potential price movement boundaries.
Key Features:
1. Auto-Detect Volatility Index: Volbands automatically detects the appropriate volatility index based on the current symbol. For example, it uses the VIX for S&P 500, VXN for Nasdaq 100, and custom indexes like VXAPL for Apple. Users can also manually select a specific volatility index if preferred.
2. Projected Bands:
- The indicator plots the projected upper and lower bands for the next trading day using the implied move from the volatility index.
- Displays today’s projected bands as a reference and overlays next day’s bands with a slight offset, visually indicating the anticipated range.
3. Dynamic Updates: The indicator updates automatically as new bars are added, ensuring that users have up-to-date projections based on the latest volatility data.
4. Highlighting Extreme Price Action: Candles that close outside of the projected bands are colored in yellow, highlighting moments of higher-than-expected volatility.
5. Informative Table: A customizable table displays relevant information, including:
- The selected or auto-detected volatility index
- Implied daily move percentage
- Projected upper and lower levels
Potential Applications:
- Risk Management: The Volbands indicator can help traders set more informed stop-loss and take-profit levels based on volatility-driven price projections.
- Identifying Overbought/Oversold Conditions: Price movement outside the projected bands may indicate overbought or oversold conditions, potentially signaling trade opportunities.
-Enhancing Entry and Exit Points: The projected bands act as soft support and resistance levels, assisting traders in timing entries and exits in anticipation of volatility-driven price reactions.
Future Enhancements:
Potential improvements to expand functionality could include:
- Additional Volatility Indices: Expanding coverage to include more assets and volatility indices.
- Alerts: Setting alerts for when prices breach the projected bands, enabling traders to react quickly to unexpected price movements.
- Customization of Bands: Adding options for users to adjust the implied move percentage, creating customized bands that reflect individual trading strategies.
This indicator combines implied volatility with price action, offering valuable insights to traders on expected price ranges and volatility.
Anchored Average Trading PriceThis "Anchored Average Trading Price" indicator allows users to anchor the calculation of the average trading price to a specific candle. By selecting an anchor date and time, the indicator begins calculating the average trading price from that point forward. This tool is particularly helpful for traders who want to analyze the price action relative to a key event or a particular point in time on the chart.
Key Features:
1. Flexible Anchoring: The indicator lets you set an anchor time, which determines the specific candle from which the average trading price calculation starts.
2. Customizable Calculation Method: You have the option to choose the basis of the average calculation:
- Open Price
- Close Price
- Average Daily Traded Price (calculated as `(Open + High + Low + Close) / 4`)
3. Automatic Updating: Once the anchor is set, the indicator dynamically updates on each new candle to continuously reflect the average trading price since the anchor point.
Potential Uses and Functionality Expansions:
- Trend Analysis: By observing the average trading price over time, you can gauge market sentiment and track trends from a particular event or time in the market.
- Support and Resistance: Anchoring this indicator to major highs, lows, or significant events could help identify dynamic support and resistance levels as the market interacts with the average price line.
- Customization Options: Future updates could allow additional flexibility, such as:
- A reset feature for users to easily re-anchor without changing the timestamp.
- Additional price calculation methods, like VWAP (Volume Weighted Average Price) for volume-based insights.
- Alerts when price crosses above or below the anchored average, signaling potential entry or exit points.
No Trade Zone Indicator [CHE]No Trade Zone Indicator
The "No Trade Zone Indicator " is a powerful tool designed to help traders identify periods when the market may not present favorable trading opportunities. By analyzing the percentage change in the 20-period Simple Moving Average (SMA20) relative to a dynamically adjusted threshold based on market volatility, this indicator highlights times when it's prudent to stay out of the market.
Why Knowing When Not to Trade Is Important
Understanding when not to trade is just as crucial as knowing when to enter or exit a position. Trading during periods of low volatility or uncertain market direction can lead to unnecessary risks and potential losses. By recognizing these "No Trade Zones," you can:
- Avoid Low-Probability Trades: Reduce the chances of entering trades with unfavorable risk-to-reward ratios.
- Preserve Capital: Protect your investment from unpredictable market movements.
- Enhance Focus: Concentrate on high-quality trading opportunities that align with your strategy.
How the Indicator Works
- SMA20 Calculation: Computes the 20-period Simple Moving Average of closing prices to identify the market's short-term trend.
- ATR Measurement: Calculates the Average True Range (ATR) over a user-defined period (default is 14) to assess market volatility.
- Dynamic Threshold: Determines an adjusted threshold by multiplying the ATR percentage by a Threshold Adjustment Factor (default is 0.05).
- Trend Analysis: Compares the percentage change of the SMA20 against the adjusted threshold to evaluate market momentum.
- Status Identification:
- Long: Indicates a rising SMA20 above the threshold—suggesting a potential upward trend.
- Short: Indicates a falling SMA20 above the threshold—suggesting a potential downward trend.
- No Trade: Signals when the SMA20 change is below the threshold, marking a period of low volatility or indecision.
Features
- Customizable Settings: Adjust the ATR period and Threshold Adjustment Factor to suit different trading styles and market conditions.
- Visual Indicators: Colored columns represent market status—green for "Long," red for "Short," and gray for "No Trade."
- On-Chart Table: An optional table displays the current market status directly on your chart for quick reference.
- Alerts: Set up alerts to receive notifications when the market enters a "No Trade Zone," helping you stay informed without constant monitoring.
How to Use the Indicator
1. Add to Chart: Apply the "No Trade Zone Indicator " to your preferred trading chart on TradingView.
2. Configure Settings: Customize the ATR period and Threshold Adjustment Factor based on your analysis and risk tolerance.
3. Interpret Signals:
- Green Columns: Consider looking for buying opportunities as the market shows upward momentum.
- Red Columns: Consider looking for selling opportunities as the market shows downward momentum.
- Gray Columns: Refrain from trading as the market lacks clear direction.
4. Monitor Alerts: Use the alert feature to get notified when the market status changes, allowing you to make timely decisions.
Conclusion
Incorporating the "No Trade Zone Indicator " into your trading toolkit can enhance your decision-making process by clearly indicating when the market may not be conducive to trading. By focusing on periods with favorable conditions and avoiding low-volatility times, you can improve your trading performance and achieve better results over the long term.
*Trade wisely, and remember—the best trade can sometimes be no trade at all.*
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.
best regards
Chervolino
Strategy without indicators v11. General Script Strategy
The objective of this strategy is to open buy or sell orders every new hour based on:
Whether the previous candle closed high (buy) or low (sell).
The presence of tops and bottoms to avoid opening orders at times of possible reversals.
The strategy also allows the user to set a date range (start date and end date) to calculate profit, loss, percentage of gain and percentage of loss only in that period.
2. Initial Settings and Parameters
Start Date and End Date: The start_date and end_date variables define the date range to account for profits and losses. These dates can be adjusted by the user to view results in specific periods.
3. Conditions for Order Entry
At each time change, the script checks the conditions for buying or selling, using the following variables and logic:
Detection of Bullish or Bearish Candle:
bullish_candle: True if the previous candle closed high.
bearish_candle: True if the previous candle closed lower.
Analysis of Tops and Bottoms:
To avoid opening orders close to tops and bottoms, the script uses the function find_top_and_bottom(period), which analyzes the last 500 candles and identifies the highest value (top) and the lowest value (bottom).
The variables current_top and current_bottom store these values.
next_top and next_bottom indicate whether the current candle is close to a top (prevents buying) or a bottom (prevents selling).
4. Opening Orders (Buy and Sell)
At each time change, the script checks the conditions to open buy or sell orders:
Condition for Sell:
The sell order is opened if the previous candle was bullish (bullish_candle) and is not close to a top (not next_top).
If there is an open buy order, it is closed before the new sell order.
Buy Condition:
The buy order is opened if the previous candle was bearish (bearish_candle) and is not near a bottom (not_near_bottom).
If there is an open sell order, it is closed before the new buy order.
5. Calculating Profit and Loss
The profit and loss calculation is only done within the configured date range (start_date and end_date):
Profit and Loss:
total_profit and total_loss accumulate the profit and loss values of all operations during the defined period.
percentage_gain and percentage_loss calculate the percentage of gain and loss in relation to the initial capital.
6. Displaying Results on the Chart
The script displays on the chart, next to the candles, the information on Total Profit, Total Loss, % Gain and % Loss:
Strategy Summary
Setting the Date Range: Allows you to set the period for calculating profit and loss.
Previous Candlestick Analysis: Decide whether to buy or sell based on the previous candlestick.
Preventing Entries at Tops and Bottoms: Avoids buying at tops and selling at bottoms to reduce false signals.
Result Calculation: Accumulates profits, losses and percentages within the configured date range.
Results Display on Chart: Displays the configured statistics directly on the chart, next to the candlesticks.
1. Estratégia Geral do Script
O objetivo dessa estratégia é abrir ordens de compra ou venda a cada nova hora com base em:
Se a vela anterior fechou em alta (compra) ou em baixa (venda).
A presença de topos e fundos para evitar abrir ordens em momentos de possíveis reversões.
A estratégia também permite que o usuário configure um intervalo de datas (data inicial e data final) para calcular o lucro, perda, percentual de ganho e percentual de perda apenas nesse período.
2. Configurações e Parâmetros Iniciais
Data Inicial e Data Final: As variáveis data_inicial e data_final definem o intervalo de datas para contabilizar os lucros e perdas. Essas datas podem ser ajustadas pelo usuário para visualizar resultados em períodos específicos.
3. Condições para Entrada de Ordens
A cada mudança de hora, o script verifica as condições de compra ou venda, usando as seguintes variáveis e lógicas:
Detecção de Vela de Alta ou Baixa:
vela_de_alta: Verdadeiro se a vela anterior fechou em alta.
vela_de_baixa: Verdadeiro se a vela anterior fechou em baixa.
Análise de Topos e Fundos:
Para evitar abrir ordens próximas de topos e fundos, o script utiliza a função find_top_and_bottom(periodo), que analisa as últimas 500 velas e identifica o valor mais alto (topo) e o valor mais baixo (fundo).
As variáveis topo_atual e fundo_atual armazenam esses valores.
topo_proximo e fundo_proximo indicam se a vela atual está perto de um topo (evita compra) ou de um fundo (evita venda).
4. Abertura de Ordens (Compra e Venda)
A cada mudança de hora, o script verifica as condições para abrir ordens de compra ou venda:
Condição para Venda:
A ordem de venda é aberta se a vela anterior foi de alta (vela_de_alta) e não está perto de um topo (not topo_proximo).
Se houver uma ordem de compra aberta, ela é fechada antes da nova ordem de venda.
Condição para Compra:
A ordem de compra é aberta se a vela anterior foi de baixa (vela_de_baixa) e não está perto de um fundo (not fundo_proximo).
Se houver uma ordem de venda aberta, ela é fechada antes da nova ordem de compra.
5. Cálculo de Lucros e Perdas
O cálculo de lucro e perda só é feito dentro do intervalo de datas configurado (data_inicial e data_final):
Lucro e Perda:
lucro_total e perca_total acumulam os valores de lucro e perda de todas as operações durante o período definido.
percentual_ganho e percentual_perca calculam o percentual de ganho e perda em relação ao capital inicial.
6. Exibição dos Resultados no Gráfico
O script exibe no gráfico, próximo das velas, as informações de Lucro Total, Perda Total, % de Ganho e % de Perda:
Resumo da Estratégia
Configuração de Intervalo de Datas: Permite configurar o período para cálculo do lucro e da perda.
Análise de Vela Anterior: Decide se a ordem é de compra ou venda com base na vela anterior.
Prevenção de Entradas em Topos e Fundos: Evita compras em topos e vendas em fundos para reduzir sinais falsos.
Cálculo de Resultados: Acumula lucros, perdas e percentuais dentro do período de datas configurado.
Exibição dos Resultados no Gráfico: Exibe as estatísticas configuradas diretamente no gráfico, próximo das velas.
Quantum Trend IndicatorThis algorithm, named "Quantum Trend Indicator," is designed to generate trading signals based on a mix of indicators like RSI, Stochastic RSI, volatility (using standard deviation), and a Z-score filter. Here’s a breakdown of the components:
1. RSI Calculation:
Calculates the Relative Strength Index (RSI) of the closing price using a specified length (rsiLength).
RSI is a momentum oscillator that measures the speed and change of price movements.
2. Stochastic RSI:
A stochastic RSI is calculated from the RSI values, essentially a second layer of smoothing that is often more sensitive to price changes.
The code uses %K (fast) and %D (slow) components to smooth the Stochastic RSI, providing pivot signals based on crossovers:
stochRsiPivotUp: Signals a potential reversal to the upside.
stochRsiPivotDown: Signals a potential reversal to the downside.
3. Volatility Calculation:
Calculates volatility using the standard deviation of the closing prices over a set volatilityLength.
Standard deviation measures how spread out the prices are, giving an idea of the current price volatility.
4. Z-Score Calculation:
Computes the Z-score of the closing prices to see how far current prices are from their mean, normalized by volatility.
The Z-score helps identify rare price movements, indicating potential reversals when the value is extreme (either high or low).
5. Filtering Stages:
Stage 1: Uses Stochastic RSI pivots to detect initial reversal signals.
Stage 2: Uses volatility and the Z-score to ensure the signal is generated during high-volatility periods with significant price movements.
- signalUp: Generated when conditions indicate an upward reversal.
- signalDown: Generated for a potential downward reversal.
6. Signal Generation:
If all conditions for signalUp or signalDown are met, a "Buy" or "Sell" signal is shown on the chart.
Suggested Optimal Settings for S&P 500 Index on 3-Minute Timeframe
rsiLength (RSI Length):
Optimal Range: 8 to 14.
Recommendation: A shorter rsiLength (8–10) would make RSI more responsive on a 3-minute timeframe for S&P 500, helping to catch fast price movements.
stochRsiLength (Stochastic RSI Length):
Optimal Range: 8 to 14.
Recommendation: A length similar to the rsiLength (e.g., 8 or 10) will keep Stochastic RSI sensitive enough for shorter timeframes like 3 minutes.
stochRsiK (%K Period for Stochastic RSI):
Optimal Range: 3 to 5.
Recommendation: stochRsiK around 3 provides smoother Stochastic RSI values, with less noise on short timeframes.
stochRsiD (%D Period for Stochastic RSI):
Optimal Range: 3 to 5.
Recommendation: Use a period around 3 for stochRsiD to complement the sensitivity of %K while still filtering out excessive noise.
volatilityLength (Volatility Calculation Length):
Optimal Range: 14 to 20.
Recommendation: Around 14 to 16 works well on shorter timeframes, as it captures recent volatility trends without excessive lag.
sigmaMultiplier (Sigma Multiplier for Volatility Filter):
Optimal Range: 1.5 to 2.5.
Recommendation: A multiplier of around 1.8 to 2.2 strikes a balance, highlighting significant moves without over-filtering.
zScoreThreshold (Threshold for Signal Validity):
Optimal Range: 1.5 to 2.0.
Recommendation: A threshold of around 1.8 generally provides enough sensitivity while filtering out minor price swings, especially on a high-liquidity asset like the S&P 500.
High/Low Location Frequency [LuxAlgo]The High/Low Location Frequency tool provides users with probabilities of tops and bottoms at user-defined periods, along with advanced filters that offer deep and objective market information about the likelihood of a top or bottom in the market.
🔶 USAGE
There are four different time periods that traders can select for analysis of probabilities:
HOUR OF DAY: Probability of occurrence of top and bottom prices for each hour of the day
DAY OF WEEK: Probability of occurrence of top and bottom prices for each day of the week
DAY OF MONTH: Probability of occurrence of top and bottom prices for each day of the month
MONTH OF YEAR: Probability of occurrence of top and bottom prices for each month
The data is displayed as a dashboard, which users can position according to their preferences. The dashboard includes useful information in the header, such as the number of periods and the date from which the data is gathered. Additionally, users can enable active filters to customize their view. The probabilities are displayed in one, two, or three columns, depending on the number of elements.
🔹 Advanced Filters
Advanced Filters allow traders to exclude specific data from the results. They can choose to use none or all filters simultaneously, inputting a list of numbers separated by spaces or commas. However, it is not possible to use both separators on the same filter.
The tool is equipped with five advanced filters:
HOURS OF DAY: The permitted range is from 0 to 23.
DAYS OF WEEK: The permitted range is from 1 to 7.
DAYS OF MONTH: The permitted range is from 1 to 31.
MONTHS: The permitted range is from 1 to 12.
YEARS: The permitted range is from 1000 to 2999.
It should be noted that the DAYS OF WEEK advanced filter has been designed for use with tickers that trade every day, such as those trading in the crypto market. In such cases, the numbers displayed will range from 1 (Sunday) to 7 (Saturday). Conversely, for tickers that do not trade over the weekend, the numbers will range from 1 (Monday) to 5 (Friday).
To illustrate the application of this filter, we will exclude results for Mondays and Tuesdays, the first five days of each month, January and February, and the years 2020, 2021, and 2022. Let us review the results:
DAYS OF WEEK: `2,3` or `2 3` (for crypto) or `1,2` or `1 2` (for the rest)
DAYS OF MONTH: `1,2,3,4,5` or `1 2 3 4 5`
MONTHS: `1,2` or `1 2`
YEARS: `2020,2021,2022` or `2020 2021 2022`
🔹 High Probability Lines
The tool enables traders to identify the next period with the highest probability of a top (red) and/or bottom (green) on the chart, marked with two horizontal lines indicating the location of these periods.
🔹 Top/Bottom Labels and Periods Highlight
The tool is capable of indicating on the chart the upper and lower limits of each selected period, as well as the commencement of each new period, thus providing traders with a convenient reference point.
🔶 SETTINGS
Period: Select how many bars (hours, days, or months) will be used to gather data from, max value as default.
Execution Window: Select how many bars (hours, days, or months) will be used to gather data from
🔹 Advanced Filters
Hours of day: Filter which hours of the day are excluded from the data, it accepts a list of hours from 0 to 23 separated by commas or spaces, users can not mix commas or spaces as a separator, must choose one
Days of week: Filter which days of the week are excluded from the data, it accepts a list of days from 1 to 5 for tickers not trading weekends, or from 1 to 7 for tickers trading all week, users can choose between commas or spaces as a separator, but can not mix them on the same filter.
Days of month: Filter which days of the month are excluded from the data, it accepts a list of days from 1 to 31, users can choose between commas or spaces as separator, but can not mix them on the same filter.
Months: Filter months to exclude from data. Accepts months from 1 to 12. Choose one separator: comma or space.
Years: Filter years to exclude from data. Accepts years from 1000 to 2999. Choose one separator: comma or space.
🔹 Dashboard
Dashboard Location: Select both the vertical and horizontal parameters for the desired location of the dashboard.
Dashboard Size: Select size for dashboard.
🔹 Style
High Probability Top Line: Enable/disable `High Probability Top` vertical line and choose color
High Probability Bottom Line: Enable/disable `High Probability Bottom` vertical line and choose color
Top Label: Enable/disable period top labels, choose color and size.
Bottom Label: Enable/disable period bottom labels, choose color and size.
Highlight Period Changes: Enable/disable vertical highlight at start of period
TradingIQ - Counter Strike IQIntroducing "Counter Strike IQ" by TradingIQ
Counter Strike IQ is an exclusive trading algorithm developed by TradingIQ, designed to trade upside/downside breakouts of varying significance. By integrating artificial intelligence and IQ Technology, Counter Strike IQ analyzes historical and real-time price data to construct a dynamic trading system adaptable to various asset and timeframe combinations.
Philosophy of Counter Strike IQ
Counter Strike IQ operates on a single premise: Support and resistance levels cannot hold forever. At some point either side must break for the underlying asset to exhibit trends; otherwise, prices would be confined to an infinitely narrowing range.
Counter Strike IQ is designed to work straight out of the box. In fact, its simplicity requires just four user settings to manage output, making it incredibly straightforward to manage.
Minimum ATR Profit, Minimum ATR Stop, EMA Filter and EMA Filter Length are the only settings that manage the performance of Counter Strike IQ!
Traders don’t have to spend hours adjusting settings and trying to find what works best - Counter Strike IQ handles this on its own.
Key Features of Counter Strike IQ
Self-Learning Breakout Detection
Employs AI and IQ Technology to identify notable breakouts in real-time.
AI-Generated Trading Signals
Provides breakout trading signals derived from self-learning algorithms.
Comprehensive Trading System
Offers clear entry and exit labels.
Performance Tracking
Records and presents trading performance data, easily accessible for user analysis.
Self-Learning Trading Exits
Counter Strike IQ learns where to exit positions.
Long and Short Trading Capabilities
Supports both long and short positions to trade various market conditions.
Strike Channel
The Strike Channel represents what Counter Strike IQ considers a tradable long opportunity or a tradable short opportunity. The Strike Channel is dynamic and adjusts from chart to chart.
IQ Graph Gradient
Introduces the IQ Graph Gradient, designed to classify extreme values in price on a grand scale.
How It Works
Counter Strike IQ operates on a straightforward heuristic: go long during significant upside price moves that break established resistance levels and go short during significant downside price moves that break established support levels.
IQ Technology, TradingIQ's proprietary AI algorithm, defines what constitutes a “significant price move” and what’s considered a tradable breakout. For Counter Strike IQ, this algorithm evaluates all historical support/resistance breaks and any subsequent breakouts. For instance, the price move following up to a breakout is measured and learned from, including the significance of the identified support/resistance level (how long it’s been active, how far price moved away from it, etc). By analyzing these patterns, Counter Strike IQ adapts to identify and trade similar future breakout sequences.
In simple terms, Counter Strike IQ learns from violations of historical support/resistance levels to identify potential entry points at currently established support/resistance levels. Using this knowledge, it determines the optimal, current support/resistance price level where a breakout has a higher chance of occurring.
For long positions, Counter Strike IQ places a stop-market order at the AI-identified resistance point. If price violates this level a market order will be placed and a long position entered. Of course, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. After the position is entered TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the long position remains active so long as price continues to uptrend.
For short positions, Counter Strike IQ places a stop-market order at the AI-identified support point. If price violates this level a market order will be placed and a short position entered. Again, this is how the algorithm trades, users can elect to use a stop-limit order amongst other order types for position entry. Upon entry TP1 is placed (identifiable on the price chart). TP1 has a twofold purpose:
Acts as a legitimate profit target to exit 50% of the position.
Once TP1 is closed over, the initial stop loss is converted to a trailing stop, and the short position remains active so long as price continues to downtrend.
As a trading system, Counter Strike IQ exits TP1 using a limit order, with all stop losses exited as stop market orders.
What Classifies As a Tradable Upside Breakout or Tradable Downside Breakout?
For Counter Strike IQ, tradable price breakouts are not manually set but are instead learned by the system. What qualifies as a significant upside or downside breakout in one market might not hold the same significance in another. Counter Strike IQ continuously analyzes historical and current support/resistance levels, how far price has extended from those levels, the raw-dollar price move leading up to a violation of those levels, their longevity, and more, to determine which future levels have a higher chance of breaking out when retested!
The image above illustrates the Strike Channel and explains the corresponding prices and levels
The green upper line represents the Long Breakout Point.
The pink lower line represents the Short Breakout Point.
Any price between the two deviation points is considered “Acceptable”.
The image above shows a long position being entered after the Upside Breakout Point was reached.
Green arrows indicate that the strategy entered a long position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price.
If price closes above TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
The image above shows the trailing stop price, represented by a blue line, used for the long position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
The image above shows a short position being entered after the Downside Breakout Point was reached.
Red arrows indicate that the strategy entered a short position at the highlighted price level.
Blue arrows indicate that the strategy exited a position, whether at TP1, the initial stop loss, or at the trailing stop.
Blue lines indicate the TP1 level for the current trade. Red lines indicate the initial stop loss price.
If price closes below TP1, the initial stop loss will be replaced with a trailing stop. A blue line (similar to the blue line shown for TP1) will trail price and correspond to the trailing stop price of the trade.
The image above shows the trailing stop price, represented by a blue line, used for the short position!
You can also hover over the trade labels to get more information about the trade—such as the entry price and exit price.
IQ Gradient Graph
The IQ Gradient Graph provides a macro characterization of extreme prices.
The lower macro extremity of the IQ Gradient Graph is colored green, while the upper macro extremity is colored red.
Minimum Profit Target And Stop Loss
The Minimum ATR Profit Target and Minimum ATR Stop Loss setting control the minimum allowed profit target and stop loss distance. On most timeframes users won’t have to alter these settings; however, on very-low timeframes such as the 1-minute chart, users can increase these values so gross profits exceed commission.
After changing either setting, Counter Strike IQ will retrain on historical data - accounting for the newly defined minimum profit target or stop loss.
AI Direction
The AI Direction setting controls the trade direction Counter Strike IQ is allowed to take.
“Trade Longs” allows for long trades.
“Trade Shorts” allows for short trades.
EMA Filter
The EMA Filter setting controls whether the AI should implement an EMA trading filter. Simply, if the EMA Filter is active, long trades can only initiate if price is trading above the user-defined EMA. Conversely, short trades can only initiate if price is trading below the user-defined EMA.
The image above shows the EMA Filter in action!
Verifying Counter Strike IQ’s Effectiveness
Counter Strike IQ automatically tracks its performance and displays the profit factor for the long strategy and the short strategy it uses. This information can be found in the table located in the top-right corner of your chart showing.
This table shows the long strategy profit factor and the short strategy profit factor.
The image above shows the long strategy profit factor and the short strategy profit factor for Counter Strike IQ.
A profit factor greater than 1 indicates a strategy profitably traded historical price data.
A profit factor less than 1 indicates a strategy unprofitably traded historical price data.
A profit factor equal to 1 indicates a strategy did not lose or gain money when trading historical price data.
Using Counter Strike IQ
While Counter Strike IQ is a full-fledged trading system with entries and exits - manual traders can certainly make use of its on chart indications and visualizations.
The hallmark feature of Counter Strike IQ is its ability to signal a breakout near its origin point. Long entries are often signaled near the start of a large upside price move; short entries are often signaled near the start of a large downside price move.
For live analysis, the Strike Channel serves as a valuable tool for identifying breakout points.
The further price moves toward the Upside Breakout Point (green), the stronger the indication that price might breakout to the upside. Conversely, the deeper price reaches toward the Downside Breakout Point (red), the stronger the indication that price might breakout to the downside.
Of course, should buying or selling pressure stall, price may fail to breakout at the identified breakout level. This is a natural consequence of any breakout trading strategy!
With this information at hand, traders can quickly switch between charts and timeframes to identify optimized areas of interest.
2024 - Median High-Low % Change - Monthly, Weekly, DailyDescription:
This indicator provides a statistical overview of Bitcoin's volatility by displaying the median high-to-low percentage changes for monthly, weekly, and daily timeframes. It allows traders to visualize typical price fluctuations within each period, supporting range and volatility-based trading strategies.
How It Works:
Calculation of High-Low % Change: For each selected timeframe (monthly, weekly, and daily), the script calculates the percentage change from the high to the low price within the period.
Median Calculation: The median of these high-to-low changes is determined for each timeframe, offering a robust central measure that minimizes the impact of extreme price swings.
Table Display: At the end of the chart, the script displays a table in the top-right corner with the median values for each selected timeframe. This table is updated dynamically to show the latest data.
Usage Notes:
This script includes input options to toggle the visibility of each timeframe (monthly, weekly, and daily) in the table.
Designed to be used with Bitcoin on daily and higher timeframes for accurate statistical insights.
Ideal for traders looking to understand Bitcoin's typical volatility and adjust their strategies accordingly.
This indicator does not provide specific buy or sell signals but serves as an analytical tool for understanding volatility patterns.
Global OECD CLI Diffusion Index YoY vs MoMThe Global OECD Composite Leading Indicators (CLI) Diffusion Index is used to gauge the health and directional momentum of the global economy and anticipate changes in economic conditions. It usually leads turning points in the economy by 6 - 9 months.
How to read: Above 50% signals economic expansion across the included countries. Below 50% signals economic contraction.
The diffusion index component specifically shows the proportion of countries with positive economic growth signals compared to those with negative or neutral signals.
The OECD CLI aggregates data from several leading economic indicators including order books, building permits, and consumer and business sentiment. It tracks the economic momentum and turning points in the business cycle across 38 OECD member countries and several other Non-OECD member countries.
CCI Threshold StrategyThe CCI Threshold Strategy is a trading approach that utilizes the Commodity Channel Index (CCI) as a momentum indicator to identify potential buy and sell signals in financial markets. The CCI is particularly effective in detecting overbought and oversold conditions, providing traders with insights into possible price reversals. This strategy is designed for use in various financial instruments, including stocks, commodities, and forex, and aims to capitalize on price movements driven by market sentiment.
Commodity Channel Index (CCI)
The CCI was developed by Donald Lambert in the 1980s and is primarily used to measure the deviation of a security's price from its average price over a specified period.
The formula for CCI is as follows:
CCI=(TypicalPrice−SMA)×0.015MeanDeviation
CCI=MeanDeviation(TypicalPrice−SMA)×0.015
where:
Typical Price = (High + Low + Close) / 3
SMA = Simple Moving Average of the Typical Price
Mean Deviation = Average of the absolute deviations from the SMA
The CCI oscillates around a zero line, with values above +100 indicating overbought conditions and values below -100 indicating oversold conditions (Lambert, 1980).
Strategy Logic
The CCI Threshold Strategy operates on the following principles:
Input Parameters:
Lookback Period: The number of periods used to calculate the CCI. A common choice is 9, as it balances responsiveness and noise.
Buy Threshold: Typically set at -90, indicating a potential oversold condition where a price reversal is likely.
Stop Loss and Take Profit: The strategy allows for risk management through customizable stop loss and take profit points.
Entry Conditions:
A long position is initiated when the CCI falls below the buy threshold of -90, indicating potential oversold levels. This condition suggests that the asset may be undervalued and due for a price increase.
Exit Conditions:
The long position is closed when the closing price exceeds the highest price of the previous day, indicating a bullish reversal. Additionally, if the stop loss or take profit thresholds are hit, the position will be exited accordingly.
Risk Management:
The strategy incorporates optional stop loss and take profit mechanisms, which can be toggled on or off based on trader preference. This allows for flexibility in risk management, aligning with individual risk tolerances and trading styles.
Benefits of the CCI Threshold Strategy
Flexibility: The CCI Threshold Strategy can be applied across different asset classes, making it versatile for various market conditions.
Objective Signals: The use of quantitative thresholds for entry and exit reduces emotional bias in trading decisions (Tversky & Kahneman, 1974).
Enhanced Risk Management: By allowing traders to set stop loss and take profit levels, the strategy aids in preserving capital and managing risk effectively.
Limitations
Market Noise: The CCI can produce false signals, especially in highly volatile markets, leading to potential losses (Bollinger, 2001).
Lagging Indicator: As a lagging indicator, the CCI may not always capture rapid market movements, resulting in missed opportunities (Pring, 2002).
Conclusion
The CCI Threshold Strategy offers a systematic approach to trading based on well-established momentum principles. By focusing on overbought and oversold conditions, traders can make informed decisions while managing risk effectively. As with any trading strategy, it is crucial to backtest the approach and adapt it to individual trading styles and market conditions.
References
Bollinger, J. (2001). Bollinger on Bollinger Bands. New York: McGraw-Hill.
Lambert, D. (1980). Commodity Channel Index. Technical Analysis of Stocks & Commodities, 2, 3-5.
Pring, M. J. (2002). Technical Analysis Explained. New York: McGraw-Hill.
Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124-1131.
Future Trend Channel [ChartPrime]The Future Trend Channel indicator is a dynamic tool for identifying trends and projecting future prices based on channel formations. The indicator uses SMA (Simple Moving Average) and volatility calculations to plot channels that visually represent trends. It also detects moments of lower momentum, indicated by neutral color changes in the channels, and projects future price levels for up to 50 bars ahead.
⯁ KEY FEATURES AND HOW TO USE
⯌ Dynamic Trend Channels :
The indicator draws channels when a trend is identified. It uses a combination of SMA and volatility to determine the direction and strength of the trend. Each channel is visualized with a specific color, where green indicates an uptrend and orange represents a downtrend.
Example of channels during uptrend and downtrend:
⯌ Momentum-Based Color Shifts :
The indicator adapts its channel colors based on momentum changes. When the starting point (Y1) of a channel is higher than its ending point (Y2) during an uptrend, the channel turns neutral, indicating lower momentum and a possible ranging market. The same applies in a downtrend, where the channel turns neutral if Y1 is lower than Y2.
Example of neutral momentum channels:
⯌ Future Price Projection :
At the end of each channel, the indicator generates a projected future price based on the midpoint of the channel. By default, this projection is made 50 bars into the future, but users can adjust the number of bars to their preference.
Example of future price projection:
⯌ Diamond Signals for Valid Trends :
Lime-colored diamonds appear when an uptrend channel is confirmed, while orange diamonds indicate valid downtrend channels. These signals confirm the presence of a strong trend and help identify valid entry and exit points. Neutral channels, which indicate lower momentum, do not show diamond signals.
Example of trend confirmation signals:
⯌ Customizable Settings :
Users can adjust the channel length (how far back the trend is analyzed) and the width (which determines the channel boundaries based on volatility). The future price projection can also be customized to forecast further or fewer bars into the future.
⯁ USER INPUTS
Trend Length : Sets the number of bars used to calculate the trend channels.
Channel Width : Adjusts the width of the channels, based on volatility (ATR multiplier).
Up and Down Colors : Allows customization of the colors used for uptrend and downtrend channels.
Future Bars : Sets the number of bars used for future price projection.
⯁ CONCLUSION
The Future Trend Channel indicator is a versatile tool for identifying and trading trends. With its ability to detect momentum shifts and project future prices, it provides traders with key insights for making more informed decisions. The use of diamond signals for trend validation adds an extra layer of confirmation, helping traders act with greater confidence during volatile or trending markets.
