EMA Volume [MacroGlide]EMA Volume is a versatile tool designed to track and analyze market volumes by calculating the Exponential Moving Averages (EMAs) of total, bullish, and bearish volumes. This indicator helps traders visualize volume dynamics, identify buying and selling pressure, and make informed trading decisions based on volume activity.
Key Features:
• Volume EMAs: The indicator calculates the EMAs of total, bullish, and bearish volumes, allowing users to observe how volume trends evolve over time. This helps identify shifts in market sentiment and potential reversals.
• Separation of Bullish and Bearish Volumes: By separating bullish and bearish volumes, the indicator provides a clear view of buying versus selling activity. This distinction is valuable for understanding the market's underlying momentum and direction.
• Customizable Visuals: Users can customize the line style and color for each volume type, allowing them to tailor the display of the indicator to their personal preferences and enhance the visual interpretation of the data.
How to Use:
• Add the indicator to your chart and adjust the EMA settings and display parameters according to your needs.
• Use the difference between bullish and bearish volumes to assess current market sentiment and analyze potential trend changes.
• Monitor the EMA of total volume to identify overall volume trends that can serve as additional signals for entering or exiting positions.
Methodology:
The indicator calculates the EMAs for total, bullish, and bearish volumes based on the trading volumes associated with price increases or decreases. This tool helps evaluate the strength of buying and selling at different times, making it especially useful for volume and market dynamics analysis.
Originality and Usefulness:
EMA Volume stands out for its ability to separate buying and selling volumes and present them in a clear visual format, significantly simplifying the analysis of market activity and decision-making in trading.
Charts:
The indicator displays clean and clear charts, where each type of volume is represented by its own line and color, making visual interpretation easier. The charts focus solely on key information for analysis: EMAs of total, bullish, and bearish volumes. These features make the charts highly useful for quick analysis and trading decision-making.
Enjoy the game!
Médias Móveis
Opening Range with Breakouts & Targets [LuxAlgo]Opening Range with Breakouts & Targets is based on the long-standing Opening Range Breakout strategy popularized by traders such as Toby Crabel and Mark Fisher.
This indicator measures and displays the price range created from the first period within a new trading session, along with price breakouts from that range and targets associated with the range width.
🔶 USAGE
The Opening Range (OR) can be a powerful tool for making a clear distinction between ranging and trending trading days. Using a rigid structure for drawing a range, provides a consistent basis to make judgments and comparisons that will better assist the user in determining a hypothesis for the day's price action.
NOTE: During a suspected "Range Day", the Opening Range can be used for reversion strategies, typically targeting the opposite extreme of the range or the mean of the range. However, more commonly the Opening Range is used for breakouts on suspected "Trend Days", targeting further upward or downward market movement.
The common Opening Range Breakout Strategy (ORB) outlines a structure to enter and exit positions based on rigid points determined by the Opening Range. This methodology can be adjusted based on markets or trading styles.
Determine Opening Range High & Low: These are the high and low price within a chosen period of time after the market opens. This can be customized to the user's trading style and preference. Common Ranges are from 5-60 mins.
Watch for a Breakout with Volume: A Breakout occurs when price crosses the OR High (ORH) or OR Low (ORL), an increase in volume is typically desired when witnessing these breakouts to confirm a stronger movement.
Manage Risk: Based on user preference and the appropriately determined amount of risk, multiple ways can be determined to manage risk by using Opening Range.
For Example: A stop-loss could be set at OR Mean (ORM) or the opposite side of the range, while a profit target could optionally be set at the first price target generated by the script.
Alternatively, a user might want to use a Moving Average (MA) as an adaptive stop-loss and use price targets to scale out. These are just 2 examples of the possible options, both capable with this tool.
🔹 Signals
Signals will fire based on the break of the opening range, this is indicated by arrows above and below the range boundaries.
Optionally, a bias can be added to these signals to aid in mitigating false signals by using a directional filter based on the current day's OR relative to the previous day's OR.
Regardless of the signal bias being enabled, the Opening Range Zone will always be colored directionally according to this.
If the current day's OR is above the previous day's OR, the Zone will be Green.
If the current day's OR is below the previous day's OR, the Zone will be Red.
By enabling the signal bias, signals in the opposite direction of the daily bias will fire on the cross of the first target in that direction.
🔹 Targets
In this indicator, targets are not limited and will generate infinitely based on a % width of the Opening Range.
Additionally, there are 2 display methods for these targets.
Extended: Extends the targets to the current bar and displays all targets that have been crossed so far within the session.
Adaptive: Extends only the 2 closest targets surrounding price, allowing for a display consisting of fewer lines at one time.
🔶 DETAILS
🔹 Historical Display
This indicator can be utilized in multiple ways, for use in real-time, and for historical analysis to form methods. Because of this, the indicator has an option to display only the current day's data or the entire historical data. This can also help clean up the chart when it is in use.
🔹 Time Period
The specific time period to create the opening range is entirely up to each user's preference, by default it is set to 30 mins; however, this time period can be edited with full control if desired.
Simply toggle on the "Custom Range" and input a range of time to create the range.
🔹 Session Moving Average
The Session Moving Average is a common Moving Average, which resets at the beginning of a new session. This allows for an unbiased MA that was created entirely from the current session's price action.
Note: The start of the session is determined by the start of the Opening Range if using a custom range of time.
🔶 SETTINGS
Show Historical Data: Choose to display only the current session's data or the full history of data.
Opening Range Time Period: Select the time period to form the opening range from. This operates on Session Start, so it will change with the chart.
Custom Range: Opt for a custom Range by enabling this and inputting your range times as well as your needed timezone.
Breakout Signal Bias: Select if the Breakout Signals will use a Daily Directional Bias for firing.
Target % of Range: Sets the % of the Range width that will be used as an increment for the Targets to display in.
Target Cross Source: Choose to use the Close price or High/Low price as the crossing level for Target displays. When this source crosses a target it will generate more targets.
Target Display: Choose which style of display to use for targets.
Session Moving Average: Optionally enable a Moving average of your choice that resets at the beginning of each session (start of opening range).
HFT V.2 EnhancedTitle: HFT V.2 Enhanced - ATR Dynamic Stop-Loss & Take-Profit
Description:
The HFT V.2 Enhanced strategy is designed for high-frequency trading with dynamic trade management and robust entry/exit logic. This strategy uses simple moving averages (SMA) for trend identification and the relative strength index (RSI) for momentum confirmation. In this enhanced version, the strategy also incorporates dynamic stop-loss and take-profit levels based on the Average True Range (ATR), offering better adaptability to market volatility.
Features:
Moving Average Crossover: Uses a fast and slow SMA to capture trend reversals and generate trade entries.
RSI Confirmation: Ensures momentum is in the direction of the trade by incorporating the RSI threshold for both long and short entries.
Dynamic Stop-Loss and Take-Profit: Stop-loss and take-profit levels are calculated based on the ATR, allowing the strategy to adjust its exit points according to market volatility. This helps manage risk more effectively and capture larger trends.
Auto-Close Opposing Positions: Automatically closes any open long positions when a short entry is triggered, and vice versa.
Once-Per-Bar Execution: Ensures that a position is entered only once per bar, avoiding multiple trades within the same bar.
Parameters:
Fast MA Length: Defines the length of the fast-moving average.
Slow MA Length: Defines the length of the slow-moving average.
RSI Length: Sets the period for the RSI indicator.
RSI Threshold: Controls the RSI level for confirming momentum (50 by default).
ATR Length: Determines the period for the ATR calculation.
ATR Multiplier for Stop-Loss/Take-Profit: Adjusts the sensitivity of the stop-loss and take-profit levels based on ATR.
How it Works:
Long Entry: The strategy opens a long trade when the fast SMA crosses above the slow SMA, and the RSI is above the user-defined threshold. A dynamic stop-loss is placed below the entry price, and a take-profit target is set based on ATR.
Short Entry: The strategy opens a short trade when the fast SMA crosses below the slow SMA, and the RSI is below the inverse threshold. A stop-loss is placed above the entry price, and a take-profit target is set using ATR.
Risk Management: The strategy adapts to changing market conditions by dynamically adjusting its stop-loss and take-profit levels, ensuring it remains responsive to market volatility.
This script is ideal for traders looking for a high-frequency strategy with advanced trade management, including dynamic exits and volatility-based risk management.
Disclaimer: Always backtest and optimize the parameters to fit your trading style and risk tolerance before using the strategy in live trading.
Trend Magic with EMA, SMA, and Auto-TradingRelease Notes
Strategy Name: Trend Magic with EMA, SMA, and Auto-Trading
Purpose: This strategy is designed to capture entry and exit points in the market using the Trend Magic indicator and three moving averages (EMA45, SMA90, and SMA180). Specifically, it uses the perfect order of the moving averages and the color changes in Trend Magic to identify trend reversals and potential trading opportunities.
Uniqueness and Usefulness
Uniqueness: The strategy utilizes the Trend Magic indicator, which is based on price and volatility, along with three moving averages to assess the strength of trends. The signals are generated only when the moving averages are in perfect order, and the Trend Magic color changes, ensuring that the entry is made during established trends. This combination provides a higher degree of reliability compared to strategies that rely solely on price action or single indicators.
Usefulness: This strategy is particularly useful for traders looking to capture trends over longer periods. It is effective at reducing noise in the market, only providing signals when the moving averages align and the Trend Magic indicator confirms a trend reversal. It works well in both trending and volatile markets.
Entry Conditions
Long Entry:
Condition: A perfect order (EMA45 > SMA90 > SMA180) is established, and Trend Magic changes color from red to blue.
Signal: A buy signal is generated, indicating the start of an uptrend.
Short Entry:
Condition: A perfect order (EMA45 < SMA90 < SMA180) is established, and Trend Magic changes color from blue to red.
Signal: A sell signal is generated, indicating the start of a downtrend.
Exit Conditions
Exit Strategy:
This strategy automatically enters and exits trades based on signals, but traders are encouraged to manage exits manually according to their own risk management preferences. The strategy includes stop loss and take profit settings based on risk-to-reward ratios for better risk management.
Risk Management
The strategy includes built-in risk management by using the SMA90 level at the time of entry as the stop-loss point and setting the take profit at a 1:1.5 risk-to-reward ratio. The stop-loss level is fixed at the entry point and does not move as the market progresses. Traders are advised to implement additional risk management, such as trailing stops, for added protection.
Account Size: ¥100,000
Commissions and Slippage: Assumes 94 pips for commissions and 1 pip for slippage per trade
Risk per Trade: 10% of account equity (adjust this based on personal risk tolerance)
Configurable Options
Configurable Options:
CCI Period: Set the period for the CCI used to calculate the Trend Magic indicator (default is 21).
ATR Multiplier: Set the multiplier for ATR used in the Trend Magic calculation (default is 1.0).
EMA/SMA Periods: The periods for the three moving averages (default is EMA45, SMA90, and SMA180).
Signal Display Control: An option to toggle the display of buy and sell signals on the chart.
Adequate Sample Size
To ensure the robustness and reliability of this strategy, it is recommended to backtest it with a sufficiently long period of historical data. Testing across different market conditions, including high and low volatility periods, is also advised.
Credits
Acknowledgments:
This strategy is based on the Trend Magic indicator combined with moving averages and draws on contributions from the technical analysis and trading community.
Clean Chart Description
Chart Appearance:
To maintain a clean and simple chart, this strategy includes options to turn off the display of Trend Magic, moving averages, and entry signals. Traders can adjust these display settings as needed to minimize visual clutter and focus on effective trend analysis.
Addressing the House Rule Violations
Omissions and Unrealistic Claims
Clarification:
This strategy does not make any unrealistic or unsupported claims about its performance. All signals are intended for educational purposes only and do not guarantee future results. It is important to note that past performance does not guarantee future outcomes, and proper risk management is crucial.
Power MarketPower Market Indicator
Description: The Power Market Indicator is designed to help traders assess market strength and make informed decisions for entering and exiting positions. This innovative indicator provides a comprehensive view of the evolution of Simple Moving Averages (SMA) over different periods and offers a clear measure of market strength through a total score.
Key Features:
Multi-Period SMA Analysis:
Calculates Simple Moving Averages (SMA) for 10 different periods ranging from 10 to 100.
Provides detailed analysis by comparing the current closing price with these SMAs.
Market Strength Measurement:
Assesses market strength by calculating a total score based on the relationship between the closing price and the SMAs.
The total score is displayed as a histogram with distinct colors for positive and negative values.
Smoothed Curve for Better View:
A smoothing of the total score is applied using a 5-period Simple Moving Average to represent the overall trend more smoothly.
Dynamic Information Table:
Real-time display of the maximum and minimum values among the SMAs, as well as the difference between these values, providing valuable insights into the variability of moving averages.
Visual Reference Lines:
Horizontal lines at zero, +50, and -50 for easy evaluation of key score levels.
How to Use the Indicator:
Position Entries: Use high positive scores to identify buying opportunities when market strength is strong.
Position Exits: Negative scores may signal market weakness, allowing you to exit positions or wait for a better opportunity.
Data Analysis: The table helps you understand the variability of SMAs, offering additional context for your trading decisions.
This powerful tool provides an in-depth view of market dynamics and helps you navigate your trading strategies with greater confidence. Embrace the Power Market Indicator and optimize your trading decisions today!
Options Series - MTF 1 and 3 Minute
Objective:
The indicator is named "Options Series - MTF 1 and 3 Minute", suggesting it's designed to analyze options series with multiple time frames (MTF), particularly focusing on 1-minute and 3-minute intervals.
OHLC Values Of Candle:
The code fetches the Open, High, Low, and Close (OHLC) values of the current candle for the specified ticker and timeframes (current, 1 minute, and 3 minutes). Additionally, it calculates the 200-period Simple Moving Average (SMA) of the closing prices for each timeframe.
Bull vs. Bear Condition:
It defines conditions for Bullish and Bearish scenarios based on comparing the current close price with the previous 200-period SMA close price for both 1-minute and 3-minute timeframes. If the current close price is higher than the previous 200-period SMA close price, it's considered Bullish, and if it's lower, it's considered Bearish.
Final Color Condition and Plot:
It determines the color of the candlestick based on the Bullish or Bearish condition. If the conditions for a Bullish scenario are met, the candlestick color is set to green (GreenColorCandle). If the conditions for a Bearish scenario are met, the candlestick color is set to red (RedColorCandle). If neither condition is met (i.e., the candle is neither Bullish nor Bearish), the color remains gray.
The code then plots the 200-period SMA values for both 1-minute and 3-minute timeframes and colors them based on the candlestick color. It also colors the bars based on the candlestick color.
Insights:
This indicator focuses on comparing current close prices with the 200-period SMA close prices to determine market sentiment (Bullish or Bearish).
It utilizes multiple time frames (1 minute and 3 minutes) to provide a broader perspective on market movements.
The color-coded candlesticks and bars make it visually easy to identify Bullish and Bearish trends.
This indicator can be used as part trading based on the identified market sentiment.
SMA, 20%UP, 20% SMA, LTH newFeatures:
Simple Moving Averages (SMAs):
200 SMA (Gray): Long-term trend indicator. A widely used benchmark in many trading strategies.
50 SMA (Red): Mid-term trend indicator.
20 SMA (Green): Short-term trend indicator. These three SMAs allow traders to visualize the general market trend over different time horizons.
20% Gain on Green Candles:
This feature tracks continuous green candles and calculates the percentage gain from the lowest low to the highest high in that series.
If the gain is greater than or equal to 20%, the script highlights it with a purple triangle above the candle.
If the series of green candles starts with a candle where the low is below the 200 SMA, a purple diamond appears under the bar, indicating potential strong buying signals.
Lifetime High (LTH):
The script automatically tracks and displays the Lifetime High (LTH), i.e., the highest price ever recorded on the chart.
This level is important for identifying potential resistance areas and monitoring long-term market tops.
Once a new LTH is reached, it is displayed as a green line across the chart.
Support Levels from LTH:
The script calculates 30%, 50%, and 67% down from the LTH, marking key support levels.
These levels are plotted on the chart as orange lines and labeled to assist in spotting potential buy zones or market reversals.
52-Week Low:
It also calculates and displays the 52-week low for quick reference, plotted as a green line.
This helps traders assess major market bottoms and potential areas of support.
Daily Moving Average for Intraday TimeframesThis indicator provides a dynamic tool for visualizing the Daily Moving Average (DMA) on intraday timeframes.
It allows you to analyze how the price behaves in relation to the daily moving average in timeframes from 1 minute up to 1 day.
KEY FEATURES
DMA on Intraday timeframes only : This indicator is designed to work exclusively on intraday charts with timeframes between 1 minute and 1 day. It will not function on tick, second-based, or daily-and-above charts.
Color-Coded Zones for Trend Identification :
Green Zone: The price is above a rising DMA, signaling a bullish momentum.
Red Zone: The price is below a falling DMA, signaling a bearish momentum.
Yellow Zone: Signaling uncertainty or mixed conditions, where either the price is above a falling DMA or below a rising/flat DMA.
Configurable DMA Period : You can adjust the number of days over which the DMA is calculated (default is 5 days). This can be customized based on your trading strategy or market preferences.
24/7 Market Option : For assets that trade continuously (e.g., cryptocurrencies), activate the "Is trading 24/7?" setting to ensure accurate calculations.
WHAT IS THE DMA AND WHY USE IT INTRADAY?
The Daily Moving Average is a Simple Moving Average indicator used to smooth out price fluctuations over a specified period (in days) and reveal the underlying trend.
Typically, a SMA takes price value for the current timeframe and reveal the trend for this timeframe. It gives you the average price for the last N candles for the given timeframe.
But what makes the Intraday DMA interesting is that it shows the underlying trend of the Daily timeframe on a chart set on a shorter timeframe . This helps to align intraday trades with broader market movements.
HOW IS THE DMA CALCULATED?
If we are to build a N-day Daily Moving Average using a Simple Moving Average, we need to take the amount of candles A needed in that timeframe to account for a period of a day and multiply it by the number of days N of the desired DMA.
So for instance, let say we want to compute the 5-Day DMA on the 10 minute timeframe :
In the 10 minute timeframe there are 39 candles in a day in the regular session.
We would take the 39 candles per day and then multiply that by 5 days. 39 x 5 = 195.
So a 5-day moving average is represented by a simple moving average with a period of 195 when looking at a 10 minute timeframe.
So for each period, to create a 5-day DMA, you would have to set the period of your simple moving average like so :
- 195 minutes = 10 period
- 130 minutes = 15 period
- 65 minutes = 30 period
- 30 minutes = 65 period
- 15 minutes = 130 period
- 10 minutes = 195 period
- 5 minutes = 390 period
and so on.
This indicator attempts to do this calculation for you on any intraday timeframe and whatever the period you want to use is for your DMA. You can create a 10-day moving average, a 30-day moving average, etc.
Auto Signal Buy/SellAuto Signal Buy/Sell with Time Filter and Dynamic ZLEMA (GMT+2) 🌟
Are you looking for an indicator that combines efficiency and simplicity while integrating advanced elements like SuperTrend, ZLEMA (Zero Lag EMA), and a MACD DEMA for clear and precise buy/sell signals? 📈 Introducing Auto Signal Buy/Sell, the ultimate indicator designed for intraday and swing traders, optimized for market hours in GMT+2.
🛠️ Key Features:
- **Advanced SuperTrend**: Follow the dominant trend with a robust SuperTrend, adjustable to your preferences (customizable multiplier and period).
- **Dynamic ZLEMA**: Get a zero-lag EMA curve with a visual signal. Additionally, the ZLEMA turns blue when it’s nearly flat, helping you easily spot market consolidation phases.
- **MACD DEMA**: An enhanced version of the traditional MACD, using the Double EMA to capture more responsive buy/sell cross signals. 📊
- **Buy/Sell Signals**: Visual arrows clearly indicate potential entry and exit points on your chart, filtered by MACD crossovers and the SuperTrend trend.
- **Smart Time Filter (GMT+2)**: This script adapts to trading hours (customizable) and only displays signals during trading hours. The background turns light blue when the market is closed, preventing confusion during inactivity periods. 🕒
⚙️ Full Customization:
- Adjustable trading hours (default 9 AM to 5 PM in GMT+2) with dynamic background indicating when markets are closed.
- Flexible settings for SuperTrend, ZLEMA, and MACD DEMA to suit any strategy.
🎯 Why Choose This Indicator?
- Optimized for maximum precision with advanced algorithms like ZLEMA and DEMA.
- Easy to use: it provides clear, visual signals directly on the chart—no need to decipher complex indicators.
- A complete intraday and swing indicator that combines trend analysis and signal filtering with precise market hours.
🚀 Boost Your Trading!
Add this indicator to your toolkit and enhance your decision-making. Thanks to its intuitive interface and clear visual signals, you can trade with confidence. 💡
Don't forget to like 👍 and comment if you find this indicator useful! Your feedback helps us continue improving such tools. 🚀
📌 How to Use:
1. Add the indicator to your chart.
2. Adjust the SuperTrend and ZLEMA settings to suit your needs.
3. Follow the buy/sell signals and watch for the light blue background outside of trading hours.
4. Trade effectively and stay in control, even during consolidation phases.
Geometric Mean IndicatorThis script calculates and plots the Geometric Mean (GM) of two significant price levels (in this case, moving averages) to identify balance points or equilibrium levels in the market.
Key Components of the Script:
Input Variables:
length1: Defines the period for the first moving average (representing the first radius 𝑥x).
length2: Defines the period for the second moving average (representing the second radius
𝑦y).
Moving Averages (Price Levels):
ma1: The first moving average (calculated using the closing price over the period defined by length1).
ma2: The second moving average (calculated using the closing price over the period defined by length2).
Geometric Mean (GM) Calculation:
The geometric mean between the two moving averages is calculated as:
GM = sqrt(ma1 * ma2)
This value represents the midpoint or balance between the two price levels (analogous to the geometric mean between the radii in the mathematical discovery).
Plotting the Values:
The script plots:
ma1: First moving average (blue line).
ma2: Second moving average (red line).
geometric_mean: The geometric mean of the two moving averages (green line), which serves as the dynamic equilibrium point.
Visual Markers for Crossovers:
The script detects when the price crosses above or below the geometric mean:
Green markers (below the bar) indicate a crossover above the geometric mean.
Red markers (above the bar) indicate a crossover below the geometric mean.
Purpose of the Indicator:
The Geometric Mean Indicator is designed to:
Highlight equilibrium points: The geometric mean between two price levels can signal areas where the market is balanced or poised for a potential breakout.
Detect potential trend reversals: When the price crosses above or below the geometric mean, it can indicate shifts in market momentum, similar to how the GM in geometry represents a transition point.
How to Use:
Dynamic Equilibrium: The geometric mean (green line) represents a balance between two price levels (moving averages) and can act as support or resistance.
Price Crossovers: Watch for price crossing the geometric mean to identify potential trend changes or areas of significant price action.
Adjust Inputs: You can modify the lengths of the moving averages (length1 and length2) to adjust the sensitivity of the indicator based on different timeframes or strategies.
Summary in Context of the Geometric Proof:
The script applies the geometric concept of the Geometric Mean (GM) as a balance point between two radii (represented by moving averages in this case).
It mirrors the idea that the GM is the midpoint of the tangent slope between two circles, where the moving averages (or price levels) serve as the "radii" in the market context.
Bull Trade Zone IndicatorThe BULL TRADE ZONE INDICATOR is a powerful trading tool designed to help traders identify optimal entry and exit points in the market. This script uses a combination of two Exponential Moving Averages (EMA) and the Average True Range (ATR) to generate buy and sell signals, making it ideal for traders looking to enhance their trading strategy with precise and timely alerts.
Key Features:
Dynamic Buy and Sell Signals: The indicator generates buy signals when the 14 EMA crosses above the 150 EMA and the price is trading above the 150 EMA. Sell signals are generated when the 14 EMA crosses below the 150 EMA and the price is below the 150 EMA, providing clear guidance on potential market trends.
Built-In Stop-Loss Levels: Automatic stop-loss levels are calculated based on the ATR, helping traders manage risk effectively by setting realistic stop-loss points based on market volatility.
Minimal Chart Clutter: To maintain a clean and focused trading environment, the 14 EMA and 150 EMA values are privately used within the script without being visibly plotted on the chart, ensuring that the focus remains on actionable signals.
Clear Visual Alerts: Buy and sell signals are highlighted directly on the chart with intuitive labels, making it easy to spot trading opportunities at a glance.
Who Is This For?
This indicator is suitable for traders of all levels—whether you are a beginner looking for a straightforward trading tool or an experienced trader seeking to add an additional layer of confirmation to your strategy. The BULL TRADE ZONE INDICATOR helps you stay ahead of the market by precisely identifying key trading zones.
How to Use:
Add the indicator to your chart.
Monitor the buy and sell signals generated by the script.
Use the plotted stop-loss levels to manage your trades effectively.
Customize your trading strategy using the indicator’s signals to align with your risk appetite and market view.
Disclaimer:
This indicator is a technical analysis tool designed to assist with decision-making. It should be used alongside other analyses and strategies, not as the sole basis for trading decisions. Always perform your due diligence and risk management when trading.
TPS Short Strategy by Larry ConnersThe TPS Short strategy aims to capitalize on extreme overbought conditions in an ETF by employing a scaling-in approach when certain technical indicators signal potential reversals. The strategy is designed to short the ETF when it is deemed overextended, based on the Relative Strength Index (RSI) and moving averages.
Components:
200-Day Simple Moving Average (SMA):
Purpose: Acts as a long-term trend filter. The ETF must be below its 200-day SMA to be eligible for shorting.
Rationale: The 200-day SMA is widely used to gauge the long-term trend of a security. When the price is below this moving average, it is often considered to be in a downtrend (Tushar S. Chande & Stanley Kroll, "The New Technical Trader: Boost Your Profit by Plugging Into the Latest Indicators").
2-Period RSI:
Purpose: Measures the speed and change of price movements to identify overbought conditions.
Criteria: Short 10% of the position when the 2-period RSI is above 75 for two consecutive days.
Rationale: A high RSI value (above 75) indicates that the ETF may be overbought, which could precede a price reversal (J. Welles Wilder, "New Concepts in Technical Trading Systems").
Scaling-In Mechanism:
Purpose: Gradually increase the short position as the ETF price rises beyond previous entry points.
Scaling Strategy:
20% more when the price is higher than the first entry.
30% more when the price is higher than the second entry.
40% more when the price is higher than the third entry.
Rationale: This incremental approach allows for an increased position size in a worsening trend, potentially increasing profitability if the trend continues to align with the strategy’s premise (Marty Schwartz, "Pit Bull: Lessons from Wall Street's Champion Day Trader").
Exit Conditions:
Criteria: Close all positions when the 2-period RSI drops below 30 or the 10-day SMA crosses above the 30-day SMA.
Rationale: A low RSI value (below 30) suggests that the ETF may be oversold and could be poised for a rebound, while the SMA crossover indicates a potential change in the trend (Martin J. Pring, "Technical Analysis Explained").
Risks and Considerations:
Market Risk:
The strategy assumes that the ETF will continue to decline once shorted. However, markets can be unpredictable, and price movements might not align with the strategy's expectations, especially in a volatile market (Nassim Nicholas Taleb, "The Black Swan: The Impact of the Highly Improbable").
Scaling Risks:
Scaling into a position as the price increases may increase exposure to adverse price movements. This method can amplify losses if the market moves against the position significantly before any reversal occurs.
Liquidity Risk:
Depending on the ETF’s liquidity, executing large trades in increments might affect the price and increase trading costs. It is crucial to ensure that the ETF has sufficient liquidity to handle large trades without significant slippage (James Altucher, "Trade Like a Hedge Fund").
Execution Risk:
The strategy relies on timely execution of trades based on specific conditions. Delays or errors in order execution can impact performance, especially in fast-moving markets.
Technical Indicator Limitations:
Technical indicators like RSI and SMA are based on historical data and may not always predict future price movements accurately. They can sometimes produce false signals, leading to potential losses if used in isolation (John Murphy, "Technical Analysis of the Financial Markets").
Conclusion
The TPS Short strategy utilizes a combination of long-term trend filtering, overbought conditions, and incremental shorting to potentially profit from price reversals. While the strategy has a structured approach and leverages well-known technical indicators, it is essential to be aware of the inherent risks, including market volatility, liquidity issues, and potential limitations of technical indicators. As with any trading strategy, thorough backtesting and risk management are crucial to its successful implementation.
Moving Average High/Low Entry SignalsInstead of applying the n-day moving average to the closing prices, two moving averages are applied separately to the highs and lows. Long positions are entered when price crosses above the high moving average and short positions are triggered when price crosses the low moving average.
Ideally this is used to identify/catch a trend or can be used as a confirmation on what direction the market decides to take. This is an entry signal and exit can be done based on personal choice or until an opposing signal is triggered.
[Superior FSVZO] Advanced Stochastic RSI | viResearchAdvanced Stochastic RSI | viResearch
Conceptual Foundation and Innovation
The "Advanced Stochastic RSI" indicator from viResearch blends the principles of the Stochastic Oscillator and the Relative Strength Index (RSI), enhanced with smoothing via the Double Exponential Moving Average (DEMA). This combination offers traders a more refined and responsive tool for detecting potential trend reversals and assessing market momentum. The Stochastic Oscillator applied to the RSI allows for a detailed view of overbought and oversold conditions, while DEMA further smooths the data, reducing market noise. This integration results in a powerful tool for identifying key entry and exit points in the market based on momentum shifts.
By utilizing this advanced approach, the indicator gives traders more accurate signals for detecting price trends, particularly when traditional indicators may struggle with market noise and provide unreliable signals.
Technical Composition and Calculation
The "Advanced Stochastic RSI" indicator employs several key calculations to provide a comprehensive view of market momentum. The Double Exponential Moving Average (DEMA) is applied to the closing price to smooth fluctuations and provide a cleaner dataset. The RSI is then calculated on this smoothed price, which improves the accuracy of overbought and oversold signals. A for loop evaluates the RSI values between two user-defined thresholds to determine the overall market strength.
The Stochastic Oscillator is applied to this RSI-based system, calculating the %K line using a moving average, with the %D line as a further smoothing of the %K line. The crossing of these two lines serves as the primary signal for determining market entry and exit points. A positive crossing of %K above %D signals a potential upward trend, while a negative crossing of %K below %D suggests a possible downward trend.
Features and User Inputs
The "Advanced Stochastic RSI" script offers several customizable inputs, allowing traders to fine-tune the indicator’s sensitivity and behavior. The DEMA length defines the smoothing applied to the price data before calculating the RSI, which affects how responsive or smooth the indicator is. The RSI length determines the period over which the RSI is calculated, influencing the sensitivity of the momentum signals. The system’s for loop evaluates the RSI between two thresholds, providing a way to measure market strength over a defined range.
Additionally, the %K and %D smoothing controls the lengths of the Stochastic Oscillator’s %K and %D lines, adjusting the indicator’s responsiveness to changes in RSI. Traders can also adjust the bar color and set alert conditions for when the %K line crosses the %D line, allowing for real-time notifications of potential trading signals.
Practical Applications
The "Advanced Stochastic RSI" is designed for traders seeking a more nuanced approach to momentum analysis and trend detection. By combining the Stochastic Oscillator with the RSI, traders can more effectively identify overbought and oversold conditions, improving their timing for market entries and exits. This indicator is particularly useful for detecting reversals when the %K and %D lines cross, providing clear signals of potential trend reversals, especially when these crossovers occur in overbought or oversold zones.
The combination of DEMA and RSI confirms when the market is gaining or losing momentum, reducing the risk of false signals caused by short-term volatility. The ability to customize the indicator’s sensitivity through multiple inputs makes it adaptable for both short-term and long-term trading strategies, allowing traders to fine-tune the indicator to match their specific trading style.
Advantages and Strategic Value
The "Advanced Stochastic RSI" script offers significant value by combining three powerful elements—RSI, Stochastic Oscillator, and DEMA smoothing—into a single cohesive tool. This integration enhances the accuracy of trend detection by reducing noise while maintaining responsiveness to market movements. The ability to customize the inputs ensures that the indicator can be adjusted to suit different market environments, making it a versatile tool for traders at all levels.
By using the Stochastic RSI with an added smoothing layer, the indicator reduces the risk of whipsaw trades caused by market volatility, offering traders clearer signals for trend reversals and continuation patterns. This makes the "Advanced Stochastic RSI" a robust solution for identifying key momentum shifts.
Alerts and Visual Cues
The script includes alert conditions that notify traders of key trend shifts. A "Stochastic RSI Long" alert is triggered when the %K line crosses above the %D line, signaling a potential upward trend. A "Stochastic RSI Short" alert indicates a possible downward trend when the %K line crosses below the %D line. Additionally, the visual plot of the %K and %D lines, along with color-coded fill areas, provides clear cues for interpreting market conditions in real time.
Summary and Usage Tips
The "Advanced Stochastic RSI | viResearch" indicator provides traders with a powerful tool for analyzing market momentum and detecting potential reversals. By combining the strengths of the Stochastic Oscillator, RSI, and DEMA smoothing, this indicator improves the accuracy of trend detection and reduces the likelihood of false signals caused by market noise. Incorporating this script into your trading strategy can help enhance your timing of market entries and exits, offering a reliable and customizable solution for traders at all levels.
Note: Backtests are based on past results and are not indicative of future performance.
Atareum Volume Ichimuku CandleAVIC (Atareum Volume Ichimoku Candles) is clearly an awesome indicator that is based on Ichimoku concepts by combination with volume. This is a new approach of volume candles that is combined with Ichimoku concepts and creates such a powerful tool to trace the market and assists traders to make better decisions, truly.
Concept:
Using Ichimoku leading periods and calculations on redesigning new candles in combination with volume, that makes unique reform candles on Tenkansen movement, but these new candles clearly omit noises in combination with volume, and then the new redesigned system of cloud calculations builds, new series of data for Senko Span A and Senko Span B which is so odd in first view, because they will barely ever cross each other, but they show very more informative and useful.
Parameters:
Section 1 : Candle colour setting for flourishing just as you desire !
Section 2 : Defining Periods of standard Ichimoku and source of candle data in combination with determining the smoothing type of moving averages and signal period.
Section 3 : Select using Heikin Ashi based candles alongside with redesigned cloud calculation type and three additional moving averages which can plot on each newly generated candles and standard candles on a chart with the type mode defined in the previous section.
Note: if you want to omit any or all of these moving averages, you can use 0 in period, instead of selecting "None" in the plot moving option!
Usage :
Overall:
Regardless of the additional moving averages which will lead to so many situations of market according to their types and designs, that is four different period for new redesign AVIC and three period for standard chart. You can easily select periods and type for these moving averages. Also, do not forget that signal moving averages is shown only on AVIC chart and have two different colour for upward and downward trends. Other moving averages are plot by just one single colour.
Cloud levels are so important because AVIC candles show respect to them and when they break the clouds upward or downward it's surly beginning of a trend that is may last long. Also when cloud levels flatten, it is determining a support or resistance according to up cloud or down cloud nature and as long as they will continue or repeated periodically on same level of AVIC chart, it will implement their weakness or strength.
Support and Resistance:
Any flattens of cloud up or down level means the support or resistance level due to its nature, but important thing is how long the cloud lasts flatten or how many times repeated in the same level in AVIC chart.
For plotting the support or resistance you should trace first candle of start of flattens in standard chart just like following picture.
Divergence:
All Higher high or Lower low of standard chart has its reflect in AVIC chart but there is secret in it, It is named divergence. When standard chart price candles generating lower low but the AVIC chart candles do not cross the bottom, it means we will spike high as soon as AVIC candle chart complete its divergence. You can see perfect example in following picture.
Cloud level Ends
When cloud down level become flattens and cloud up level start a bull run it means we will face a great up trend movement but as soon as cloud down level starts to move up it mean we are going to finish the bull run and maybe it goes with consolidation phase or reversal phase. This reaction is exactly happen in vice versa for bear run trend. You can see both examples in following pictures.
Note: if we face end of bull run and cloud down level make a U turn shape upside down it means we will have reversal phase even not too long but it is sharp and fast reversal. If cloud down level just turn right slightly, it means we should have consolidation phase, mostly or we can continue the last trend slightly. All these situations can happen in vice versa bear run. You can see example in following picture.
Signals:
Long but risky:
You can go long when AVIC candles are green and be in position as long as they are not change in colour.
Long and safe :
You can go long when AVIC candles cross up cloud down level and be in position as long as AVIC candles cross down cloud up level.
Long and sure:
You can go long when AVIC candles cross up cloud up level and be in position as long as AVIC candles cross down cloud down level.
Short but risky:
You can go short when AVIC candles are red and be in position as long as they are not change in colour.
Short and safe :
You can go short when AVIC candles cross down cloud up level and be in position as long as AVIC candles cross up cloud down level.
Short and sure:
You can go short when AVIC candles cross down cloud down level and be in position as long as AVIC candles cross up cloud up level.
Notice : Candles with large body are so strong but if a body candle is weak or flatten it may a signal of changing colour and direction, especially when using Heikin Ashi type.
It is the result of many years of experience in markets and there are so many details about this AVIC chart which I am in the experiment phase to publish in the future, so please help me with your ideas and do not hesitate to comment and inform me any suggestions or criticism.
BTC Arcturus IndicatorBTC Arcturus Indicator: This indicator is designed to create buy and sell signals based on the market value of Bitcoin. It also predicts potential market tops with the Pi Cycle Top indicator.
How Does It Work?
1. MVRVZ (Market Value to Realized Value-Z Score) Calculation:
MC: Bitcoin's market cap (Market Cap) is pulled daily from Glassnode data.
MCR: Realized Market Cap of Bitcoin is taken daily from Coinmetrics data.
MVRVZ: It is calculated by dividing the difference between Bitcoin's market value and realized market value by one standard deviation. This value indicates whether the market is overvalued or undervalued.
2. Reception and Warning Signals:
Buy Signal: When MVRVZ falls below the -0.255 threshold value, the indicator gives a "Buy" signal. This indicates that Bitcoin is undervalued and may be a buying opportunity.
Warning Signal: A warning signal turns on when MVRVZ exceeds the threshold value of 2.765. This indicates that the market is approaching saturation and caution is warranted.
3. Tracking the Highest MVRVZ Value:
The indicator records the highest MVRVZ value in the last 10 candlesticks. This value is used to determine whether the market has reached its highest risk levels.
4. Warning Display:
If the MVRVZ value matches the highest value in the last 10 bars and this warning has not been displayed before, a "Warning" signal is displayed.
Once the warning signal is shown, no further warnings are shown for 10 candles.
5. Pi Cycle Top Indicator:
Pi Cycle Top: This indicator predicts Bitcoin tops by comparing two moving averages (350-day and 111-day). If the short-term moving average falls below the long-term moving average, this is considered a sell signal.
The indicator displays this signal with the label "Sell", indicating a potential market top.
User Guide:
Green Buy Signal: It means Bitcoin is cheap and offers a buying opportunity.
Yellow Warning Signal: Indicates that Bitcoin has reached possible profit taking points and caution should be exercised.
Red Sell Signal: Indicates that Bitcoin has reached market saturation and it may be appropriate to sell.
Adaptive Trend [StabTrading]The Adaptive Trend is a versatile tool designed to help traders stay in trades longer by adapting to real-time market conditions. Based on the Exponential Moving Average (EMA) trend, this indicator automatically adjusts its values according to the flow of money, making it a fully automated and responsive trend-following tool. Traders can use this adaptive trend to maintain positions longer and identify optimal entry and exit points before the trend fully reverses.
💡 Features
EMA-Based Trend - The Adaptive Trend Indicator is grounded in the EMA, providing a reliable foundation for tracking market trends.
Adaptive Values - The indicator’s values change dynamically based on money flow, allowing it to adjust to market conditions automatically.
Designed for Longer Trades - This tool is specifically designed to keep traders in trades for extended periods, maximizing potential profits.
Automated Algorithm - The fully automated nature of this indicator ensures that it adapts without manual intervention, making it user-friendly and efficient.
Pre-Trend Flip Signals - Traders can utilize this indicator to spot entry and exit points before a trend reversal, offering a strategic advantage in trade timing.
📈 How to Use the Adaptive Trend Indicator
The Adaptive Trend Indicator is designed to help traders identify potential entry and exit points by observing the relationship between price and the trend line. Generally, the price should follow the trend line's momentum. However, when the price deviates from the trend line, this indicates a divergence in momentum, signalling a potential trading opportunity.
Monitor the Trend Line - Pay attention to the color and flatness of the trend line. A blue trend line indicates bullish momentum, while a yellow trend line signals bearish momentum. When the trend line starts to flatten, it suggests that the current momentum is weakening. This is the time to watch for price deviations from the trend line as potential trade signals.
🛠️ Usage/Practice
As the downward trend begins to lose momentum, the trend line flattens and shows early signs of money flow moving up. This flattening indicates a potential shift in market sentiment, suggesting that a reversal may be on the horizon.
The trend line changes to blue, indicating a bullish shift in momentum. Since the price is close to the trend line, this serves as a strong confirmation to enter a long trade. The proximity to the trend line offers a favourable risk-to-reward ratio.
The trend line begins to level out, signalling a potential slowdown in momentum. Notice how the price starts to deviate from the trend line. As price rises above the trend line, this presents an opportunity to take partial profits or initiate a covered sell position.
The price briefly dips below the blue trend line, and the trend itself remains flat, indicating the bullish trend’s resilience. As the trend line stays blue, this suggests that the upward momentum remains intact, and the dip may be temporary, offering another potential entry point.
Despite the trend line flattening, the price continues to respect the trend, suggesting that the uptrend has not exhausted itself. This continuation implies that the bullish trend is still likely to persist.
The trend line flips, signalling a clear end to the previous upward trend. This flip is a strong indication that the bullish momentum has been fully exhausted, and a reversal may be in progress. Notice how the price has respected the trend line as it flips.
The trend line has shifted to yellow, signalling downward price action. As the trend begins to flatten and shows signs of moving upward again, traders should wait for the price to cross above the trend line. This crossing could indicate a safer entry point for a sell trade, as the market may still be in a bearish phase.
The price drops sharply below the trend line, but the trend itself remains relatively stable, suggesting that the downward momentum may not be as strong as the price action suggests. This discrepancy signals an opportune moment to take profits and potentially enter a buy position.
The price is not aligning with the trend line, suggesting the market may be trending sideways. The trend currently shows bullish momentum, but it lacks strong upward acceleration, and the price is significantly above the trend line. This weakening momentum indicates a potential area to consider a sell trade. Similar to point 8, the lack of acceleration and the distance from the trend line suggest that the upward movement may be losing strength.
While the trend remains in a downward (yellow) phase, it begins to rise without flipping to blue. This suggests that upward momentum is weak. As the price significantly deviates above the trend line, traders might consider entering a new sell trade, as the upward movement within a downward trend could indicate a temporary correction rather than a full reversal.
🔶 Conclusion
The Adaptive Trend allows traders to maintain their positions longer while providing strategic entry and exit points before trends fully reverse. As part of a comprehensive trading system, this indicator is particularly valuable for those looking to capitalize on subtle shifts in market momentum. By following its guidelines and signals, traders can better align their strategies with market dynamics.
Swiss Knife [MERT]Introduction
The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format.
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Key Features
Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes.
Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection.
Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score.
Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart.
Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots.
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Explanation of Each Indicator
Moving Average Convergence Divergence (MACD)
- Purpose : Measures the relationship between two moving averages of price.
- Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum.
Awesome Oscillator (AO)
- Purpose : Gauges market momentum by comparing recent market movements to historic ones.
- Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum.
Parabolic SAR (SAR)
- Purpose : Identifies potential reversal points in price direction.
- Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend.
SuperTrend
- Purpose : Determines the prevailing market trend.
- Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line.
Detrended Price Oscillator (DPO)
- Purpose : Removes trend from price to identify cycles.
- Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below.
Relative Strength Index (RSI)
- Purpose : Measures the speed and change of price movements.
- Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum.
Stochastic Oscillator
- Purpose : Compares a particular closing price to a range of its prices over a certain period.
- Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions.
Bollinger Bands (BB)
- Purpose : Measures market volatility and provides relative price levels.
- Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness.
Ichimoku Cloud
- Purpose : Provides support and resistance levels, trend direction, and momentum.
- Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud.
Chande Momentum Oscillator (CMO)
- Purpose : Measures momentum on both up and down days.
- Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum.
Donchian Channels
- Purpose : Identifies volatility and potential breakouts.
- Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout.
Average Directional Index (ADX)
- Purpose : Measures the strength of a trend.
- Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend.
Volume Momentum Indicators (VolMom, CumVolMom, POCMom)
- Purpose : Analyze volume to assess buying and selling pressure.
- Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum.
Fractals
- Purpose : Identify potential reversal points in the market.
- Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend.
Divergence Detection
- Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line).
- Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal.
- Note : This functionality utilizes the library from Divergence Indicator .
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Coloring Scheme
Background Color
- Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes.
- Interpretation :
- Green Shades : Indicate bullish market sentiment.
- Red Shades : Indicate bearish market sentiment.
- Intensity : The strength of the color corresponds to the strength of the sentiment score.
Sentiment Table
- Purpose : Displays the status of each indicator across different timeframes.
- Interpretation :
- Green Cell : The indicator suggests a bullish signal.
- Red Cell : The indicator suggests a bearish signal.
- Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe.
Exponential Moving Averages (EMAs)
- Purpose : Provide dynamic support and resistance levels.
- Colors :
- EMA 10 : Lime
- EMA 20 : Yellow
- EMA 50 : Orange
- EMA 100 : Red
- EMA 200 : Purple
Trendlines
- Purpose : Visual representation of support and resistance levels based on pivot points.
- Interpretation :
- Upward Trendlines : Colored green , indicating support levels.
- Downward Trendlines : Colored red , indicating resistance levels.
- Note : Trendlines are drawn using the library from Simple Trendlines .
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Utility of Market Sentiment
The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by:
Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend.
Identifying Reversals : Divergences and fractals can signal potential turning points.
Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades.
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Divergences
Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal.
- Bullish Divergence : Price makes a lower low, but the indicator makes a higher low.
- Bearish Divergence : Price makes a higher high, but the indicator makes a lower high.
The indicator detects divergences for:
RSI
MACD
Stochastic Oscillator
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution Line (A/D Line)
By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly.
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Trendlines
Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points:
- Upward Trendlines (Support) : Connect higher lows, indicating an uptrend.
- Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend.
These trendlines help traders visualize the trend direction and potential breakout or reversal points.
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Super Trend Reversals (ST Reversal)
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders:
Engage Early : Enter the market as reversal momentum builds up.
Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes.
By capturing these reversal points, traders can enhance their trading performance.
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Conclusion
The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions.
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Citations
- Divergence Detection Library : Divergence Indicator by DevLucem
- Trendline Drawing Library : Simple Trendlines by HoanGhetti
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Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions.
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Reflected ema Difference (RED) This script, titled "Reflected EMA Difference (RED)," is based on the logic of evaluating the percentage of convergence and divergence between two moving averages, specifically the Hull Moving Averages (HMA), to make price-related decisions. The Hull Moving Average, created by Alan Hull, is used as the foundation of this strategy, offering a faster and more accurate way to analyze market trends. In this script, the concept is employed to measure and reflect price variations.
Script Functionality Overview:
Hull Moving Averages (HMA): The script utilizes two HMAs, one short-term and one long-term. The main idea is to compute the Delta Difference between these two moving averages, which represents how much they are converging or diverging from each other. This difference is key to identifying potential market trend changes.
Reflected HMA Value: Using the Delta Difference between the HMAs, the value of the short-term HMA is reflected, creating a visual reference point that helps traders see the relationship between price and HMAs on the chart.
Percentage Change Index: The second key parameter is the percentage change index. This determines when a trend is reversing, allowing buy or sell orders to be established based on significant changes in the relationship between the HMAs and the price.
Delta Multiplier: The script comes with a default Delta multiplier of 2 for calculating the difference between HMAs, allowing traders to adjust the sensitivity of the analysis based on the time frame being analyzed.
Trend Reversal Signals: When the price crosses the thresholds defined by the percentage change index, buy or sell signals are triggered, based on the detection of a potential trend reversal.
Visual Cues with Boxes: Boxes are drawn on the chart when the HullMA crosses the reflected HMA value, providing a visual aid to identify critical moments where risk should be evaluated.
Alerts for Receiving Signals:
This script allows you to set up buy and sell alerts via TradingView's alert system. These alerts are triggered when trend changes are detected based on the conditions coded in the script. Traders can receive instant notifications, allowing them to make decisions without needing to constantly monitor the chart.
Additional Considerations:
The percentage change parameter is adjustable and should be configured based on the time frame you are trading on. For longer time frames, it's advisable to use a larger percentage change to avoid false signals.
The use of Hull Moving Averages (HMA) provides a faster and more reactive approach to trend evaluation compared to other moving averages, making it a powerful tool for traders seeking quick reversal signals.
This approach combines the power of Hull Moving Averages with an alert system to improve the trader’s response to trend changes.
Spanish
Este script, titulado "Reflected EMA Difference (RED)", está fundamentado en la lógica de evaluar el porcentaje de acercamiento y distancia entre dos medias móviles, específicamente las medias móviles de Hull (HMA), para tomar decisiones sobre el valor del precio. El creador de la media móvil de Hull, Alan Hull, diseñó este indicador para ofrecer una forma más rápida y precisa de analizar tendencias de mercado, y en este script se utiliza su concepto como base para medir y reflejar las variaciones de precio.
Descripción del funcionamiento:
Medias Móviles de Hull (HMA): Se utilizan dos HMAs, una de corto plazo y otra de largo plazo. La idea principal es calcular la diferencia Delta entre estas dos medias móviles, que representa cuánto se están alejando o acercando entre sí. Esta diferencia es clave para identificar cambios potenciales en la tendencia del mercado.
Valor Reflejado de la HMA: Con la diferencia Delta calculada entre las HMAs, se refleja el valor de la HMA corta, creando un punto de referencia visual que ayuda a los traders a observar la relación entre el precio y las HMAs en el gráfico.
Índice de Cambio de Porcentaje: El segundo parámetro clave del script es el índice de cambio porcentual. Este define el momento en que una tendencia está revirtiendo, permitiendo establecer órdenes de compra o venta en función de un cambio significativo en la relación entre las HMAs y el precio.
Multiplicador Delta: El script tiene un multiplicador predeterminado de 2 para el cálculo de la diferencia Delta, lo que permite ajustar la sensibilidad del análisis según la temporalidad del gráfico.
Señales de Reversión de Tendencia: Cuando el precio cruza los límites definidos por el índice de cambio porcentual, se emiten señales para comprar o vender, basadas en la detección de una posible reversión de tendencia.
Visualización con Cajas: Se dibujan cajas en el gráfico cuando el indicador HullMA cruza el valor reflejado de la HMA, ayudando a identificar visualmente los momentos críticos en los que se debe evaluar el riesgo de las operaciones.
Alertas para Recibir Señales:
Este script permite configurar alertas de compra y venta desde el apartado de alertas de TradingView. Estas alertas se activan cuando se detectan cambios de tendencia en función de las condiciones establecidas en el código. El trader puede recibir notificaciones instantáneas, lo que facilita la toma de decisiones sin necesidad de estar constantemente observando el gráfico.
Consideraciones adicionales:
El porcentaje de cambio es un parámetro ajustable y debe configurarse según la temporalidad que se esté operando. En temporalidades más largas, es recomendable usar un porcentaje de cambio mayor para evitar señales falsas.
La utilización de las medias móviles de Hull (HMA) proporciona un enfoque más rápido y reactivo para evaluar tendencias en comparación con otras medias móviles, lo que lo convierte en una herramienta poderosa para traders que buscan señales rápidas de reversión.
Este enfoque combina la potencia de las medias móviles de Hull con un sistema de alertas que mejora la reactividad a cambios de tendencia.
Ultra Moving AverageThe Ultra Moving Average is a versatile technical indicator that combines various types of moving averages to analyze trends, providing multi-timeframe insights for traders. It offers four customizable moving averages and a trend strength table for enhanced decision-making.
Introduction
The Ultra Moving Average indicator is a powerful tool designed to help traders track market trends by offering a combination of four distinct moving averages. With flexible customization options, users can apply different types of moving averages like SMA, EMA, TEMA, and many more, across various timeframes. Additionally, it provides trend strength analysis through an intuitive visual table, helping traders quickly identify market conditions.
Detailed Description
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Moving Averages
Each of the four moving averages is independently configurable. You can select the timeframe, type, length, color, and width to match your trading strategy.
The types of moving averages range from traditional ones like the Simple Moving Average (SMA) to advanced ones like the Double Expotential Moving Average (DEMA) or the Triple Exponential Moving Average (TEMA) or the Recursive Moving Average (RMA) or the Weigthend Moving Average (WMA) or the Volume Weigthend Moving Average (VWMA) or Hull Moving Average (HMA).
Very Special ones are the Triple Weigthend Moving Average (TWMA) wich created RedKTrader .
I created the Multi Weigthend Moving Average (MWMA) wich is a simple signal line to the TWMA.
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Trend Visualization
The indicator uses color-coding to visually represent whether the price is in an uptrend or downtrend. Bullish trends are highlighted in one color, while bearish trends appear in another, making it easy to interpret.
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Trend Strength Table
One of the unique features of the Ultra Moving Average is the trend strength table at the bottom of the chart. This table breaks down the strength of the fast, mid, and slow moving averages, displaying them as percentages. It also shows the overall "trend power," which helps assess how strong or weak the current trend is.
You have the option to calculate trends using live data or the previous bar's data, offering flexibility in how the indicator reacts to market changes. This can help traders make more responsive decisions based on real-time trends.
The table displays trend strength across three timeframes Fast, Mid, and Slow by calculating the percentage difference between the price and each of the moving averages (MA1, MA3, MA4).
The Power row shows the average of these percentages, representing overall trend strength.
The percentages are calculated relative to their maximum values in history (limited by TradingView subscription), providing insight into the trend's strength for each timeframe.
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Overall, the Ultra Moving Average indicator is a comprehensive tool that combines multiple moving average types and advanced trend analysis, helping traders identify market direction and strength at a glance. With its intuitive visualization and flexible settings, it's suited for both beginner and experienced traders.
Special Thanks
I use the TWMA-Function created from RedKTrader to smooth the values.
Special thanks to him for creating and sharing this function!
Multi-Timeframe RSI and MACD Table with SignalsMulti-Timeframe RSI and MACD Table
This indicator provides a comprehensive overview of market momentum and trend direction across multiple timeframes using the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) indicators. It displays a table on the chart, allowing you to monitor these key technical indicators across different timeframes in a visually intuitive way.
What is RSI (Relative Strength Index)?
RSI is a momentum oscillator that measures the speed and change of price movements, ranging from 0 to 100. It helps traders identify whether an asset is overbought or oversold:
RSI ≥ 70: Indicates that the asset might be overbought and a reversal or pullback may occur.
RSI ≤ 30: Indicates that the asset might be oversold, signaling a potential rebound or buying opportunity.
RSI around 50: Suggests neutral momentum, with no strong directional bias.
In this indicator, RSI values are calculated and displayed for multiple timeframes to help traders assess momentum across different periods.
What is MACD (Moving Average Convergence Divergence)?
MACD is a trend-following indicator that shows the relationship between two moving averages of a price, typically the 12-period EMA and the 26-period EMA:
MACD Line: The difference between the 12-period EMA and the 26-period EMA.
Signal Line: A 9-period EMA of the MACD Line.
MACD Histogram: The difference between the MACD Line and the Signal Line, showing the strength of the momentum.
MACD is used to identify changes in the strength, direction, and momentum of an asset's price. When the MACD line crosses the signal line, it generates a buy or sell signal:
Bullish Crossover: When the MACD line crosses above the signal line, it indicates upward momentum.
Bearish Crossunder: When the MACD line crosses below the signal line, it signals downward momentum.
Key Features of the Indicator:
Multi-Timeframe Monitoring: This indicator displays RSI and MACD values for several different timeframes (e.g., 5 min, 15 min, 1 hr, 4 hr, 1 day). It allows traders to quickly see how the market behaves across multiple periods.
Bullish/Bearish Background Colors:
Green Background: Indicates a bullish trend. RSI is above 50 and the MACD line is above the signal line, signaling upward momentum.
Red Background: Indicates a bearish trend. RSI is below 50 and the MACD line is below the signal line, signaling downward momentum.
Signal Arrows:
Bullish Signal (▲): This arrow appears when the MACD line crosses above the signal line, indicating a possible bullish momentum shift.
Bearish Signal (▼): This arrow appears when the MACD line crosses below the signal line, indicating a possible bearish momentum shift.
How to Use This Indicator:
Monitor the Signal Arrows for Early Alerts:
Bullish Signal (▲): When an upward arrow appears, it means that the MACD line has just crossed above the signal line, indicating a potential bullish setup. This can serve as an early alert of rising momentum.
Bearish Signal (▼): When a downward arrow appears, it means that the MACD line has just crossed below the signal line, signaling a potential bearish setup.
The arrows provide an early signal of momentum shifts, but they are not enough to confirm a trend on their own.
Wait for Background Color Change for Full Confirmation:
Green Background: A green background across timeframes confirms a bullish trend. This happens when RSI is above 50 (indicating upward momentum) and the MACD line is above the signal line (confirming the bullish trend). Wait for this background color to change to green for full confirmation of a bullish setup.
Red Background: A red background signals a bearish trend. This indicates RSI is below 50 (showing downward momentum) and the MACD line is below the signal line, confirming the bearish trend.
In short:
The signal arrows act as an early alert for potential changes in momentum.
The background color change provides full confirmation of a bullish or bearish trend, aligning both RSI and MACD.
Bullish Setup:
To confirm a bullish setup, look for the green background. A green background means that both RSI and MACD are aligned in a bullish condition. This shows that the asset has upward momentum and a positive trend.
Bearish Setup:
To confirm a bearish setup, look for a red background. This means that both RSI and MACD are aligned in a bearish condition, indicating downward momentum and a negative trend.
Example Usage:
Use the signal arrows as an alert to watch for potential changes in trend. When an arrow appears, it's a good indication to start paying attention.
Use the background color for confirmation of the trend. For a more confident trade, wait for the background to turn green (for bullish) or red (for bearish) before entering or exiting a trade.
Perfect for Trend and Momentum Traders:
This indicator is ideal for traders who want a quick, visual overview of market conditions across multiple timeframes. By focusing on RSI for momentum and MACD for trend direction, it provides a comprehensive snapshot of market trends, allowing traders to make better-informed decisions.
Multiple Bollinger Bands + Volatility [AlgoTraderPro]This indicator helps traders visualize price ranges and volatility changes. Designed to assist in identifying potential consolidation zones, the indicator uses multiple layers of Bollinger Bands combined with volatility-based shading. This can help traders spot periods of reduced price movement, which are often followed by breakouts or trend reversals.
█ FEATURES
Multiple Bollinger Bands: Displays up to seven bands with customizable standard deviations, providing a layered view of price range activity.
Volatility Measurement: Tracks changes in Bollinger Band width to display volatility percentage and direction (increasing, decreasing, or neutral).
Volatility Shading: Uses color-coded shading between the outermost bands to indicate changes in volatility, helping to visualize potential consolidation zones.
Customizable Inputs: Modify lookback periods, moving average lengths, and standard deviations for each band to tailor the analysis to your strategy.
Volatility Table: Displays a table on the chart showing real-time volatility data and direction for quick reference.
█ HOW TO USE
Add the Indicator: Apply it to your TradingView chart.
Adjust Settings: Customize the Bollinger Bands’ parameters to suit your trading timeframe and strategy.
Analyze Consolidation Zones: Use the multiple bands and volatility shading to identify areas of reduced price activity, signaling potential breakouts.
Monitor Volatility: Refer to the volatility table to track real-time shifts in market volatility.
Use in Different Markets: Adapt the settings for various assets and timeframes to assess market conditions effectively.
█ NOTES
• The indicator is useful in consolidating markets where price movement is limited, offering insights into potential breakout areas.
• Adjust the settings based on asset and market conditions for optimal results.
Varanormal Mac N Cheez Strategy v1Mac N Cheez Strategy (Set a $200 Take profit Manually)
It's super cheesy. Strategy does the following:
Here's a detailed explanation of what the entire script does, including its key components, functionality, and purpose.
1. Strategy Setup and Input Parameters:
Strategy Name: The script is named "NQ Futures $200/day Strategy" and is set as an overlay, meaning all elements (like moving averages and signals) are plotted on the price chart.
Input Parameters:
fastLength: This sets the length of the fast moving average. The user can adjust this value, and it defaults to 9.
slowLength: This sets the length of the slow moving average. The user can adjust this value, and it defaults to 21.
dailyTarget: The daily profit target, which defaults to $200. If set to 0, this disables the daily profit target.
stopLossAmount: The fixed stop-loss amount per trade, defaulting to $100. This value is used to calculate how much you're willing to lose on a single trade.
trailOffset: This value sets the distance for a trailing stop. It helps protect profits by automatically adjusting the stop-loss as the price moves in your favor.
2. Calculating the Moving Averages:
fastMA: The fast moving average is calculated using the ta.sma() function on the close price with a period length of fastLength. The ta.sma() function calculates the simple moving average.
slowMA: The slow moving average is also calculated using ta.sma() but with the slowLength period.
These moving averages are used to determine trend direction and identify entry points.
3. Buy and Sell Signal Conditions:
longCondition: This is the buy condition. It occurs when the fast moving average crosses above the slow moving average. The script uses ta.crossover() to detect this crossover event.
shortCondition: This is the sell condition. It occurs when the fast moving average crosses below the slow moving average. The script uses ta.crossunder() to detect this crossunder event.
4. Executing Buy and Sell Orders:
Buy Orders: When the longCondition is true (i.e., fast MA crosses above slow MA), the script enters a long position using strategy.entry("Buy", strategy.long).
Sell Orders: When the shortCondition is true (i.e., fast MA crosses below slow MA), the script enters a short position using strategy.entry("Sell", strategy.short).
5. Setting Stop Loss and Trailing Stop:
Stop-Loss for Long Positions: The stop-loss is calculated as the entry price minus the stopLossAmount. If the price falls below this level, the trade is exited automatically.
Stop-Loss for Short Positions: The stop-loss is calculated as the entry price plus the stopLossAmount. If the price rises above this level, the short trade is exited.
Trailing Stop: The trail_offset dynamically adjusts the stop-loss as the price moves in favor of the trade, locking in profits while still allowing room for market fluctuations.
6. Conditional Daily Profit Target:
The script includes a daily profit target that automatically closes all trades once the total profit for the day reaches or exceeds the dailyTarget.
Conditional Logic:
If the dailyTarget is greater than 0, the strategy checks whether the strategy.netprofit (total profit for the day) has reached or exceeded the target.
If the strategy.netprofit >= dailyTarget, the script calls strategy.close_all(), closing all open trades for the day and stopping further trading.
If dailyTarget is set to 0, this logic is skipped, and the script continues trading without a daily profit target.
7. Plotting Moving Averages:
plot(fastMA): This plots the fast moving average as a blue line on the price chart.
plot(slowMA): This plots the slow moving average as a red line on the price chart. These help visualize the crossover points and the trend direction on the chart.
8. Plotting Buy and Sell Signals:
plotshape(): The script uses plotshape() to add visual markers when buy or sell conditions are met:
"Long Signal": When a buy condition (longCondition) is met, a green marker is plotted below the price bar with the label "Long".
"Short Signal": When a sell condition (shortCondition) is met, a red marker is plotted above the price bar with the label "Short".
These markers help traders quickly see when buy or sell signals occurred on the chart.
In addition, triangle markers are plotted:
Green Triangle: Indicates where a buy entry occurred.
Red Triangle: Indicates where a sell entry occurred.
Summary of What the Script Does:
Inputs: The script allows the user to adjust moving average lengths, daily profit targets, stop-loss amounts, and trailing stop offsets.
Signals: It generates buy and sell signals based on the crossovers of the fast and slow moving averages.
Order Execution: It executes long positions on buy signals and short positions on sell signals.
Stop-Loss and Trailing Stop: It sets dynamic stop-losses and uses a trailing stop to protect profits.
Daily Profit Target: The strategy stops trading for the day once the net profit reaches the daily target (unless the target is disabled by setting it to 0).
Visual Markers: It plots moving averages and buy/sell signals directly on the main price chart to aid in visual analysis.
This script is designed to trade based on moving average crossovers, with robust risk management features like stop-loss and trailing stops, along with an optional daily profit target to limit daily trading activity. Let me know if you need further clarification or want to adjust any specific part of the script!
