Normalised Gaussian MACD Heikin Ashi [AlgoAlpha]🌟🚀Introducing the Normalised Gaussian MACD Heikin Ashi by AlgoAlpha !
Elevate your trading game with this multipurpose indicator, crafted to pinpoint trend continuation opportunities while highlighting volatility and oversold/overbought conditions. Whether you're embarking on your trading journey or you're a seasoned market navigator, this tool is equipped with intuitive visual cues to amplify your decision-making prowess and enrich your market analysis toolkit. Let's dive into the key features, utilization strategies, and the innovative logic underpinning this indispensable trading asset.
Key Features:
🔧 Enhanced Customization : Tailor your experience with adjustable parameters including Fast Length, Slow Length, Source, Macd Smoothing Length, Signal Smoothing, and more.
🖌️ Visual Enhancements : Opt for Heikin Ashi Candles display and choose to show or hide MACD and Signal lines for a clutter-free chart.
🌈 Color Customization : Personalize your chart with selectable primary and secondary up and down colors to suit your visual preferences.
🔔 Advanced Alert System : Stay ahead with comprehensive alert conditions for market movements, including trend reversals, bullish and bearish swings.
How to Use:
Configure the Inputs : Start by customizing the indicator’s settings to match your trading style. Adjust the length parameters, source selection, and smoothing lengths to fine-tune the indicator’s sensitivity.
Interpret the Candles and Colors : Keep an eye on the Heikin Ashi Candles (if enabled) and the color shifts within the MACD Line Candles and Histogram. These visual cues are pivotal for identifying market trends.
Analyze with Flexibility : Make use of the option to display or hide the MACD and Signal lines based on your analysis requirements. This can help in focusing on the essential information without overcrowding your chart.
Utilize Alerts for Timely Decisions : Leverage the extensive alert system to get notified about potential market movements. These alerts can help you capture the right moment to enter or exit trades.
Basic Logic:
The Normalised Gaussian MACD Heikin Ashi by AlgoAlpha integrates Gaussian filters to elevate the traditional MACD indicator's efficiency, providing a more detailed analysis of market trends and momentum. This sophisticated approach reduces noise and enhances signal speed, which is crucial for identifying momentum trading opportunities.
Gaussian Filter Implementation : The core innovation lies in applying a Gaussian filter to the input price series. This mathematical technique smooths the price data, significantly reducing market noise and making trend signals clearer and more reliable. The Gaussian filter calculates a smoothed value for each data point by weighting nearby data points, with the weights decreasing as the distance from the current data point increases.
Refined MACD Calculation : The Gaussian MACD is derived from the difference between two Gaussian smoothed moving averages (fast and slow), which are then normalized to account for market volatility. This normalization process involves dividing the difference by a measure of market range (such as the high minus the low), and multiplying by a factor (usually 100) to scale the indicator appropriately.
🔑 This script is a versatile tool designed to aid in the identification of momentum and reversals, helping traders to make informed decisions based on technical analysis. Its customization options allow for a tailored analysis experience, fitting the unique needs and strategies of each trader.
Tìm kiếm tập lệnh với "MACD"
BBO_Roxana_Signals MACD + volDescription of BBO_Roxana_Signals MACD + vol Script
This script is designed to provide trading signals based on a combination of the MACD (Moving Average Convergence Divergence) indicator and volume analysis. Here's a systematic breakdown of how the script functions:
Volume Accumulation Check:
The script first accumulates volume data over time. It ensures that there's volume data available for analysis. If no volume data is provided, it generates a runtime error.
MACD Calculation:
The script calculates the MACD indicator using the provided parameters, including fast and slow lengths for exponential moving averages (EMA), as well as signal smoothing.
It computes the fast and slow EMAs, calculates the MACD line by subtracting the slow EMA from the fast EMA, and then computes the signal line.
Volume Oscillator Calculation:
It calculates a volume oscillator by computing the difference between short and long EMAs of volume and then normalizing the result to a percentage.
Signal Generation:
Long signals are generated when there's a crossover of the MACD line above the zero line and the volume oscillator is above the zero line. These are marked on the chart with upward green triangles.
Short signals are generated when there's a crossunder of the MACD line below the zero line and the volume oscillator is above the zero line. These are marked on the chart with downward red triangles.
Alerts:
The script also provides alerts for long signals, short signals, and combined signals. These alerts can be used for automated trading or as notifications for manual trading decisions.
Recommendation:
This script should be used in conjunction with other technical analysis tools and trend analysis for comprehensive trading decisions.
It's advisable to backtest the strategy on historical data before deploying it in live trading to evaluate its effectiveness and suitability for your trading goals.
By integrating MACD analysis with volume analysis, the script aims to provide signals based on both momentum and volume trends, offering a more comprehensive approach to trading decision-making.
RSI and MACD Crossover SignalsBest for Short-Term/Intraday Trading on SPY, TSLA, NVDA
Strategy Concept:
This strategy is designed for short-term trading across various assets and timeframes (Recommend: 1min, 5min, 15min, 1hr, 4hr, 1day). It leverages the Relative Strength Index (RSI) and Moving Average Convergence Divergence (MACD) to identify potential buy and sell signals. The strategy aims to capture moments where the asset's price is likely to experience a reversal or a significant momentum shift.
By combining the RSI and MACD indicators, the strategy seeks to increase the accuracy of identifying potential trend reversals or continuations, taking into account both the momentum and the trend direction of the asset.
RSI (Relative Strength Index) Parameters:
The RSI period is set to 14
Overbought and oversold levels are set at 70 and 30, respectively
The RSI is used to identify potential reversal points when the asset is overbought or oversold
MACD (Moving Average Convergence Divergence) Parameters:
The MACD settings are configured with a fast length of 8, a slow length of 34, and a signal smoothing of 8
The MACD line crossing over or under the signal line is used to confirm the potential buy or sell signals indicated by the RSI
Signal Generation Logic:
Buy Signal:
Triggered when the RSI crosses above the oversold level (30).
Confirmed if the MACD line crosses above the signal line within a delay period of up to 4 candles after the RSI signal.
Sell Signal:
Triggered when the RSI crosses below the overbought level (70).
Confirmed if the MACD line crosses below the signal line within a delay period of up to 4 candles after the RSI signal.
Additional Features:
The script includes a notification system that alerts the trader when either a buy or sell signal is detected. The alert signal is combined with both the buy and sell signal in 1 so people without premium can be alerted when any signal appears.
Buy signals are visually represented on the chart below the price bars with a green "BUY" label.
Sell signals are indicated above the price bars with a red "SELL" label.
Usage and Application:
This strategy is versatile and recommended to be played with scalps and day trades. I prefer SPY 0DTE on the 1 and 5 minute timeframe and looking for bigger trend reversals on the 1hr, 4hr, and 1 day timeframe.
Time Session Filter - MACD exampleTime Session Filter in TradingView Strategy: A Comprehensive Guide
Welcome to this educational TradingView blog where we dive deep into the functionality and utility of the time session filter in trading strategies. It's interesting to note that the time session filter is a commonly overlooked feature in Pine Script, often not integrated into overall trading strategies. Yet, when used wisely, this tool can significantly enhance your trading approach. In essence, the session filter ensures that trades are only made within a specific, user-defined time frame. By incorporating this often-neglected building block, you can make your strategy more adaptable to various market conditions and trading preferences.
What is a Time Session Filter?
A time session filter is designed to:
Select Times of the Day to Trade: The filter allows you to choose specific hours during the day in which trades are allowed to be excecuted.
Toggle Days to Trade: You can decide which days of the week you want to trade, giving you the flexibility to avoid days that are historically not profitable for your strategy.
Close Trade When Session Ends: The filter can automatically close any open trade once the specified time session concludes, reducing the risk associated with holding positions outside your chosen time frame.
The user interface is streamlined, taking minimal space for the input sections, making it convenient to integrate with other indicators in your overall strategy script. In addition the script colors the background of the chart green when the timesession filter is on and makes the background red when the filter doesn't allow any trades. This helps you to visualise the selected timeframes in relation to chart patterns.
Best Practices for Time Selection
From my personal trading experience I share some input settings you can try to play around with:
Stocks: Trading stocks sometimes yield better results if you only trade in the mornings until lunchtime. This is the period when markets are generally more active, and traders are keenly participating.
Cryptocurrencies: For cryptocurrencies, it sometimes makes sense to avoid trading on Fridays, a day when futures contracts often expire. Various other market-moving events also typically occur on Fridays.
Random Selection: Interestingly, sometimes choosing a random selection of times and days can improve the script's performance, adding an element of unpredictability that might outperform more systematic approaches.
Strategy Overview
This strategy script incorporates various elements, including risk position size and MACD indicator, to provide a comprehensive trading strategy. For a detailed explanation of risk position sizing, please refer to this article:
For a complete understanding of the MACD indicator utilized, visit the following explanation:
Additionally, for high time frame trend filters, consult this resource for more info:
Educational Purposes and Risks
Please note that this script is for educational purposes and serves merely as an example of how to incorporate a time session filter into a trading strategy for pinescript. It is a simplified strategy without a fixed stop-loss, which can result in higher exposure to significant losses. The time session filter can be a powerful addition to your trading strategy, providing you with the tools to tailor your approach according to time-specific market conditions. By understanding its functionalities and best practices, you can make more informed trading decisions, but always remember that trading carries inherent risks.
Happy trading!
[blackcat] L3 MACD and RSI Fusion The MACD and RSI fusion is a popular technical analysis strategy used by traders to identify buy and sell signals in the market. The strategy makes use of two popular technical indicators, the Moving Average Convergence Divergence (MACD) and the Relative Strength Index (RSI), and combines them to create a powerful trading signal.
The MACD and RSI fusion was originally developed for the Chinese stock market and is commonly used by traders all over the world. The strategy is based on the idea that the MACD and RSI indicators can be used together to provide a more accurate and reliable signal.
To use the MACD and RSI fusion , traders need to follow a few simple steps. The following code is the TradingView Pine script v4 indicator equivalent of the original MACD and RSI fusion code:
```
//@version=4
study(" MACD and RSI fusion ", overlay=false)
// Define the simple fusion indicator
simple_fusion = (ema(close, 12) - ema(close, 26)) * 1.2 + rsi(close, 14) / 50
// Define the simple fusion lag indicator
simple_fusion_lag = nz(simple_fusion )
// Plot the simple fusion and simple fusion lag indicators
plot(simple_fusion, color=color.blue, title="simple fusion")
plot(simple_fusion_lag, color=color.red, title="simple fusion Lag")
```
This code defines the simple fusion and simple fusion Lag indicators and plots them on the chart. The simple fusion indicator is the sum of the 12- and 26-period exponential moving averages of the closing price, multiplied by 1.2, and added to the 14-period relative strength index of the closing price, divided by 50. The simple fusion Lag indicator is the value of the simple fusion indicator from the previous period.
Traders can use the simple fusion and simple fusion Lag indicators to identify buy and sell signals. When the simple fusion indicator crosses above the simple fusion Lag indicator, it is a buy signal, and when the simple fusion indicator crosses below the simple fusion Lag indicator, it is a sell signal.
In conclusion, the MACD and RSI fusion is a simple but powerful technical analysis strategy that combines two popular technical indicators to identify buy and sell signals in the market.
Risk Management and Positionsize - MACD exampleMastering Risk Management
Risk management is the cornerstone of successful trading, and it's often the difference between turning a profit and suffering a loss. In light of its importance, I share a risk management tool which you can use for your trading strategies. The script not only assists in position sizing but also comes with built-in technical features that help in market timing. Let's delve into the nitty-gritty details.
Input Parameter: MarginFactor
One of the key features of the script is the MarginFactor input parameter. This element lets you control the portion of your equity used for placing each trade. A MarginFactor of -0.5 means 50% of your total equity will be deployed in placing the position size. Although Tradingview has a built-in option to adjust position sizing in a same way, I personally prefer to have the logic in my pinecode script. The main reason is userexperience in managing and testing different settings for different charts, timeframes and instruments (with the same strategy).
Stoploss and MarginFactor
If your strategy has a 4% stop-loss, you can choose to use only 50% of your equity by setting the MarginFactor to -0.5. In this case, you are effectively risking only 2% of your total capital per trade, which aligns well with the widely-accepted rule of thumb suggesting a 1-2% risk per trade. Similar if your stoploss is only 1% you can choose to change the MarginFactor to 1, resulting in a positionsize of 200% of your equity. The total risk would be again 2% per trade if your stoploss is set to 1%.
Max Drawdown and MarginFactor
Your MarginFactor setting can also be aligned with the maximum drawdown of your strategy, seen during a backtested period of 2-3 years. For example, if the max drawdown is 15%, you could calibrate your MarginFactor accordingly to limit your risk exposure.
Option to Toggle Number of Contracts
The script offers the option to toggle between using a percentage of equity for position sizing or specifying a fixed number of contracts. Utilizing a percentage of equity might yield unrealistic backtest results, especially over longer periods. This occurs because as the capital grows, the absolute position size also increases, potentially inflating the accumulated returns generated by the backtester. On the other hand, setting a fixed number of contracts as your position size offers a more stable and realistic ROI over the backtested period, as it removes the compounding effect on position sizes.
Key Features Strategy
MACD High Time Frame Entry and Exit Logic
The strategy employs a high time frame MACD (Moving Average Convergence Divergence) to make entry and exit decisions. You can easily adjust the timeframe settings and MACD settings in the inputsection to trade on lower timeframes. For more information on the HTF MACD with dynamic smoothing see:
Moving Average High Time Frame Filter
To reduce market 'noise', the strategy incorporates a high time frame moving average filter. This ensures that the trades are aligned with the dominant market trend (trading the trend). In the inputsection traders can easily switch between different type of moving averages. For more information about this HTF filter see:
Dynamic Smoothing
The script includes a feature for dynamic smoothing. The script contains The timeframeToMinutes(tf) function to convert any given time frame into its equivalent in minutes. For example, a daily (D) time frame is converted into 1440 minutes, a weekly (W) into 10,080 minutes, and so forth. Next the smoothing factor is calculated by dividing the minutes of the higher time frame by those of the current time frame. Finally, the script applies a Simple Moving Average (SMA) over the MACD, SIGNAL, and HIST values, MA filter using the dynamically calculated smoothing factor.
User Convenience: One of the major benefits is that traders don't need to manually adjust the smoothing factor when switching between different time frames. The script does this dynamically.
Visual Consistency: Dynamic smoothing helps traders to more accurately visualize and interpret HTF indicators when trading on lower time frames.
Time Frame Restriction: It's crucial to note that the operational time frame should always be lower than the time frame selected in the input sections for dynamic smoothing to function as intended.
By incorporating this dynamic smoothing logic, the script offers traders a nuanced yet straightforward way to adapt High Time Frame indicators for lower time frame trading, enhancing both adaptability and user experience.
Limitations: Exit Strategy
It's crucial to note that the script comes with a simplified exit strategy, devoid of features like a stop-loss, trailing stop-loss or multiple take profits. This means that while the script focuses on entries and risk management, it might result in higher losses if market conditions unexpectedly turn unfavorable.
Conclusion
Effective risk management is pivotal for trading success, and this TradingView script is designed to give you a better idea how to implement positions sizing with your preferred strategy. However, it's essential to note that this tool should not be considered financial advice. Always perform your due diligence and consult with financial advisors before making any trading decisions.
Feel free to use this risk management tool as building block in your trading scripts, Happy Trading!
Linear On MACDUnlocking the Magic of Linear Regression in TradingView
In the ever-evolving world of financial markets, traders and investors seek effective tools to gauge price movements, make informed decisions, and achieve their financial goals. One such tool that has proven its worth over time is linear regression, a mathematical concept that has found its way into technical analysis and trading strategies. In this blog post, we will explore the magic behind linear regression, delve into its history, and understand how it's widely used as a technical indicator.
The Birth of Linear Regression: From Mathematics to Trading
Linear regression is a statistical method that aims to model the relationship between two variables by fitting a linear equation to observed data. The formula for a linear regression line is typically expressed as y = a + bx, where y is the dependent variable, x is the independent variable, a is the intercept, and b is the slope.
While the roots of linear regression trace back to the field of statistics, it didn't take long for traders and investors to recognize its potential in the financial world. By applying linear regression to historical price data, traders can identify trends, assess the relationship between variables, and even predict potential future price levels.
The Linear On MACD Strategy
Let's take a closer look at a powerful example of how linear regression is employed in a trading strategy right within TradingView. The "Linear On MACD" strategy harnesses the potential of linear regression in conjunction with the Moving Average Convergence Divergence (MACD) indicator. The goal of this strategy is to generate buy and sell signals based on the interactions between the predicted stock price and the MACD indicator.
Here's a breakdown of the strategy's components:
Calculation of Linear Regression: The strategy begins by calculating linear regression coefficients for the historical stock price based on volume. This helps predict potential future price levels.
Predicted Stock Price: The linear regression results are then used to plot the predicted stock price on the chart. This provides a visual representation of where the price could trend based on historical data.
Buy and Sell Signals: The strategy generates buy signals when certain conditions are met. These conditions include the predicted stock price being between the open and close prices, a rising MACD, and other factors that suggest a potential bullish trend. On the other hand, sell signals are generated based on MACD trends and predicted price levels.
Risk Management: The strategy also incorporates risk tolerance levels to determine entry and exit points. This ensures that traders take into account their risk appetite when making trading decisions.
Embracing the Magic of Linear Regression
As we explore the "Linear On MACD" strategy, we uncover the power of linear regression in aiding traders and investors. Linear regression, a mathematical marvel, seamlessly merges with technical analysis to provide insights into potential price movements. Its historical significance in statistics blends perfectly with the demands of modern financial markets.
Whether you're a seasoned trader or a curious investor, the Linear On MACD strategy exemplifies how a robust mathematical concept can be harnessed to make informed trading decisions. By embracing the magic of linear regression, you're tapping into a tool that continues to evolve alongside the financial world it empowers.
Disclaimer: The information provided in this blog post is for educational purposes only and does not constitute financial advice. Trading and investing carry risks, and it's important to conduct thorough research and consider seeking professional advice before making any trading decisions.
RSI MACDDifferent Perspective : By using the RSI as the source for MACD calculation, you are incorporating the RSI's characteristics into the MACD indicator. The RSI measures the speed and change of price movements, while the MACD focuses on the convergence and divergence of moving averages. Combining these two indicators may provide a different perspective on market conditions.
Smoothed MACD : Since the RSI is being used as the source for the MACD calculation, the resulting MACD line (macd1 in the code) may exhibit smoother movements compared to a traditional MACD calculated directly from price data. This smoothing effect could potentially help filter out noise and provide a clearer representation of trend changes.
RSI Confirmation : The RSI is often used to identify overbought and oversold conditions. By incorporating the RSI into the MACD calculation, you can potentially gain additional confirmation when the MACD line crosses above or below zero. For example, if the MACD line crosses above zero and the RSI is in an oversold region, it could provide stronger confirmation for a bullish signal.
Example:
Price Action - Support & Resistance + MACD LONG StrategyUsing "Price Action - Support & Resistance by DGT" and the MACD (Moving Average Convergence Divergence) indicator in TradingView can help develop a trade strategy. Here's a step-by-step approach you can follow:
1. Identifying Support and Resistance Levels: Apply the "Price Action - Support & Resistance by DGT" indicator to your chart. This indicator helps you identify key support and resistance levels based on price action. These levels act as potential areas where the price may reverse or consolidate.
2. Confirming Support and Resistance Levels: Once the indicator has plotted support and resistance levels on your chart, analyze the historical price action around these levels. Look for multiple touches or bounces from the same level, which adds strength to the support or resistance zone.
3. Analyzing the MACD Indicator: Add the MACD indicator to your chart. The MACD consists of two lines: the MACD line and the signal line, along with a histogram representing the difference between the two lines. The MACD helps identify momentum and potential trend reversals.
When the MACD line crosses above the signal line and the histogram turns positive, it suggests bullish momentum.
4. Identifying Trade Opportunities:
Bullish Trade: Look for a bullish setup when the price approaches a strong support level identified by the "Price Action - Support & Resistance by DGT" indicator. Wait for the MACD lines to cross above the signal line and the histogram to turn positive, indicating bullish momentum. Enter a long position with a stop loss below the
support level.
Managing the Trade: Once you enter a trade, consider setting a target based on the distance between your entry point and the nearest significant support or resistance level. You can also use trailing stop losses or other risk management techniques to protect your profits and limit potential losses.
Remember that no trading strategy is guaranteed to be successful, and it's important to practice proper risk management and conduct thorough analysis before making any trading decisions. Additionally, it's recommended to backtest and demo trade this strategy before using it with real money.
EMA bridge and dashboard with color coding.
Summary:
This is a custom moving average indicator script that calculates and plots different Exponential Moving Averages (EMAs) based on user-defined input values. The script also displays MACD and RSI, and provides a table that displays the current trend of the market in a color-coded format.
Explanation:
- The script starts by defining the name of the indicator and the different inputs that the user can customize.
- The inputs include bridge values for three different EMAs (high, close, and low), and four other EMAs (5, 50, 100, and 200).
- The script assigns values to these inputs using the `ta.ema()` function.
- Additionally, the script calculates EMAs for higher timeframes (3m, 5m, 15m, and 30m).
- The script then plots the EMAs on the chart using different colors and line widths.
- The script defines conditions for going long or short based on the crossover of two EMAs.
- It plots triangles above or below bars to indicate the crossover events.
- The script also calculates and displays the RSI and MACD of the asset.
- Finally, the script creates a table that displays the current trend of the market in a color-coded format. The table can be positioned on the top, middle, or bottom of the chart and on the left, center, or right side of the chart.
Parameters:
- i_ema_h: Bridge value for high EMA (default=34)
- i_ema_c: Bridge value for close EMA (default=34)
- i_ema_l: Bridge value for low EMA (default=34)
- i_ema_5: Value for 5-period EMA (default=5)
- i_ema_50: Value for 50-period EMA (default=50)
- i_ema_100: Value for 100-period EMA (default=100)
- i_ema_200: Value for 200-period EMA (default=200)
- i_f_ema: Value for fast EMA used in MACD calculation (default=9)
- i_s_ema: Value for slow EMA used in MACD calculation (default=21)
- fastInput: Value for fast length used in MACD calculation (default=7)
- slowInput: Value for slow length used in MACD calculation (default=14)
- tableYposInput: Vertical position of the table (options: top, middle, bottom; default=middle)
- tableXposInput: Horizontal position of the table (options: left, center, right; default=right)
- bullColorInput: Color of the table cell for a bullish trend (default=green)
- bearColorInput: Color of the table cell for a bearish trend (default=red)
- neutColorInput: Color of the table cell for a neutral trend (default=white)
- neutColorLabelInput: Color of the label for neutral trend in the table (default=fuchsia)
Usage:
To use this script, simply copy and paste it into the Pine Editor on TradingView. You can then customize the input values to your liking or leave them at their default values. Once you have added the script to your chart, you can view the EMAs, MACD, RSI, and trend table on the chart. The trend table provides a quick way to assess the current trend of the market at a glance.
[blackcat] L3 Jurik MACDLevel: 3
Background
Use Jurik MA to build MACD and many people need to judge the market trend against the main candlestick chart when using MACD .
Function
First of all, the MACD function is built with Jurik MA and ALMA for better performance.
Second, the principle of MACD is the difference between EMA's long-term and short-term values. So, I wonder if it is possible to use EMA to construct a set of candle charts that are similar in proportion to MACD values for overlapping comparisons? Because this can greatly facilitate traders to make quick trend judgments. So I used the 3-8 lines of EMA to simulate the KD of KDJ, constructed a set of candle charts, and generated buying and selling points through conditional constraints. Do you like this MACD + Candlestick chart?
Key Signal
Traditional Jurik MACD output signal
Candlesticks
Near Top --> Top is reached and reversal may happen soon. (fuchsia labels)
Near Bottom --> Bottom is reached and reversal may happen soon. (yellow labels)
Remarks
Feedbacks are appreciated.
Stochastic Moving Average Convergence Divergence (SMACD)This is my attempt at making a Stochastic MACD indicator. To get this to work I have introduced a DC offset to the MACD histogram output. I figured that if theirs a Stochastic RSI their might as well be a Stochastic everything else! lmao enjoy. Honestly, from what I can tell it's even faster than Stochastic Smooth RSI.
The Stochastic Oscillator (STOCH) is a range bound momentum oscillator. The Stochastic indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. Typically, the Stochastic Oscillator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals
MACD is an extremely popular indicator used in technical analysis. MACD can be used to identify aspects of a security's overall trend. Most notably these aspects are momentum, as well as trend direction and duration. What makes MACD so informative is that it is actually the combination of two different types of indicators. First, MACD employs two Moving Averages of varying lengths (which are lagging indicators) to identify trend direction and duration. Then, MACD takes the difference in values between those two Moving Averages (MACD Line) and an EMA of those Moving Averages (Signal Line) and plots that difference between the two lines as a histogram which oscillates above and below a center Zero Line. The histogram is used as a good indication of a security's momentum
MPI(Monthly MACD & Parabolic Investment Indicator)This indicator is used to make trading decisions for ETFs and mutual funds (TQQQ, QLD, SPXL, etc.) that are leveraged to stock indices.
It displays buy and sell signals and sends notifications when both MACD and Parabolic SAR give trend reversal signals.
Specifically, the following cases are considered as buy/sell signals.
Buy signal
-When Parabolic SAR shows a buy signal after MACD has made a golden cross
-When MACD shows a golden cross after Parabolic SAR shows a buy signal
Sell signal
-When Parabolic SAR shows a sell signal after MACD has made a dead cross
-When MACD shows a dead cross after Parabolic SAR shows a sell signal
Apply this indicator to the underlying index of the leveraged ETF ( NDX for TQQQ and QLD ) and trade the leveraged ETF using the buy or sell signal on the underlying index.
Note that the stocks to which you apply this indicator and make trading decisions are different from the stocks that you actually trade.
株価指数にレバレッジをかけたETFや投資信託( TQQQ , QLD , SPXL など)の売買判断をするためのインジケーターです。
MACDとパラボリックSARの両方でトレンド転換シグナルが出たところで売買シグナルを表示し、通知を送ります。
具体的には以下のような場合を売買シグナルとします。
買いシグナル
・MACDがゴールデンクロスした後、パラボリックSARが買いシグナルを示したとき
・パラボリックSARが買いシグナルを示した後、MACDがゴールデンクロスしたとき
売りシグナル
・MACDがデッドクロスした後、パラボリックSARが売りシグナルを示したとき
・パラボリックSARが売りシグナルを示した後、MACDがデッドクロスしたとき
このインジケーターをレバレッジETFの元指数( TQQQ , QLD ならば NDX )に適用し、元指数での売買シグナルでレバレッジETFを売買してください。
このインジケーターを適用し売買判断を行う銘柄と実際に売買する銘柄が違うことに注意してください。
[Sextan] MACD with Stoch RSI and Baseline with risk controlLevel 1
Background
An example to take 3 mintes to backtest "Full System MACD with Stoch RSI and Baseline with risk control" with sextan backtest framework
Function
Courtesy of @SoftKill21
Full System MACD with Stoch RSI and Baseline with risk control
This system can be used on all timeframes. It works on scalping, daytrading and swing trading.Its made from a Baseline slow and fast , together with MACD , Stochastic RSI .
Remarks
Courtesy of @SoftKill21
Feedbacks are appreciated.
PYRAMIDING BTCUSDTPERP1H [ALERTS VERSION]BINANCE:BTCUSDTPERP
Hello
This my upgraded (ALERTs) version of my previous bots, uses diffrent indicators
WARING
THIS STRATEGY WORKS ONLY ON BTCUSDTPERP ON BINANCE 60MIN (like my previous ones) !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!
- it depends on specyfic volume and wick based on binance
Soo, I was tried to make a bot with more trades to make more real results.
Trends are change, and the problem with configuration on bots is that, while we searching the best cofigurations , this was best configuration in the past,
to prepare bot for the futures moves , we have to make as much trades as possible.
This bot is pure definition of pyramiding, uses 2 entries, and when all the conditions are true, then will open a trades
The way it works is simple, bot use 6 difrent indicators to open longs/shorts and for the define trend
This specific configuration works the best at
TP: 1.4%
SL: 9%
This is bot only for lev 1x
Dont try it for bigger leverage, becouse when sl hits, which sometimes happend, the lost will be huge
Why sl is so big?
Bot is programed to replace sl with other entries
for example
close longs and open shorts
normal lose is around 3-5% (while trend is changed), so sl will only destroys results
this bot using 6 difrent indicators:
ADX
RSI
VOLUME
RANGE FILTER
MA 5-10-30
MACD by KivancOzbilgic
ADX - makes a solid view to trend without any scam wick :
Long only on green bars
Shorts only on red bars
That's helps my strategy to define a right trend
there is also a orange option for unidentified trends
RSI - value helps strategy to stop trade in right time
When RSI is overbought strategy don't open new longs
also when RSI is oversold strategy don't open new shorts
Volume - volume is the most important indicator for the strategy,
to avoid open trades on flat chart, new trades are open after a strong volume
wicks
RANGE FILTER- this indicator is for the better view of trends, define trends
MA 5-10-30 - like previous ones this is for better view of trends, and correctly define the trends
MACD by KivancOzbilgic - this indicator is based of MACD RELOADED by Kivanc Ozbilgic
Also like previous ones, indicator should help defined correct trends
Enjoy ;)
Aldus' MACDAldus' MACD
MACD, short for moving average convergence/divergence, is a trading indicator used in technical analysis of stock prices, created by Gerald Appel in the late 1970s. It is designed to reveal changes in the strength, direction, momentum, and duration of a trend in a stock's price.
The MACD indicator (or "oscillator") is a collection of three time series calculated from historical price data, most often the closing price. These three series are: the MACD series proper, the "signal" or "average" series, and the "divergence" series which is the difference between the two. The MACD series is the difference between a "fast" (short period) exponential moving average (EMA), and a "slow" (longer period) EMA of the price series. The average series is an EMA of the MACD series itself.
Dual MACD StrategyThis strategy Multi Time Frame Macd Indicator
We take the first long position when we have a buy signal in Weekly Macd (Macd line crosses above Signal line). This open a trading window, showed with green background color
We close the first position when either Weekly or Daily Macd give us a sell signal ((Macd line crosses below Signal line))
Enable Profit and Stop in strategy settings with different percentage to backtest the strategy. Also if it is better to use a Traditional Stop Loss or a Trailing Stop Loss based on a percentage from low prices
Change macd resolution in settings for other time frames to test the strategy
This Strategy was tested on Crypto Market with good results in assets as BTC, ETH, BNB, ADA, LTC, XLM, BCH, among others
Sentiment OscillatorPrice moves when there are more market takers than there are market makers at a certain price (i.e. price moves up when there are more market buys than limit sells and vice versa). The idea of this indicator is to show the ratio between market takers and market makers in a way that is intuitive to technical analysis methods, and hopefully revealing the overall sentiment of the market in doing so. You can use it in the same way you would other oscillators (histogram crossing zero, divergences, etc). The main difference between this and most volume-weighted indicators is that the price is divided by volume instead of multiplied by it, thus giving you a rough idea of how much "effort" it took to move the price. My hypothesis is that when more volume is needed to move the price, that means bulls and bears are not in agreement of what the "fair price" should be for an asset (e.g. if the candle closes only a bit higher than its open but there's a huge spike in volume, that tells you that a majority of the market are starting to think the price is too high and they've started selling).
Methods of Calculation
1. Price Change Per Volume
The main method this indicator uses to reveal market sentiment is by comparing price change to the volume of trades in a bar.
You will see this calculation plotted in its most basic form by ticking the "Show Bar per Bar Change/Volume" box in the inputs dialog. I personally found that the plots were too noisy and cannot be used in real time reliably due to the fact that there is not much volume at the open of a new bar. I decided to leave in the option to use this method, in case you'd like to experiment with it or get a better grasp of how the indicator works.
2. Exponential Moving Averages
In my quest to smooth out the plotted data, I experimented with exponential moving averages. Applying an EMA on the change per volume data did smooth it out a bit, but still left in a lot of noise. So I worked around it by applying the EMA to the price change first, and then dividing it by the EMA of the volume. The term I use for the result of this calculation is "Market Sentiment" (do let me know if you have a better-fitting term for it ;-)), and I have kept it as an option that you can use in the way you would use other oscillators like CMF, OBV, etc. This option is unticked by default.
3. MACD
I left "Market Sentiment" unchecked as the default option because I thought an easier way to use this indicator would be as a momentum indicator like the MACD . So that's what I turned it into! I applied another EMA on the Market Sentiment, added a slower EMA to subtract from the first, and now we have a MACD line. I added a signal line to subtract from the MACD , and the result is plotted as a histogram... ish . I used area instead of columns for plot style so you don't get confused when comparing with a regular MACD indicator, but you can always change it if an actual histogram is more your taste.
The "histogram" is the main gauge of sentiment change momentum and it is easiest to use, that is why it is the only calculation plotted by default.
Methods of Use
As I have mentioned before, you can use this as you would other oscillators.
-The easiest way to use this indicator is with the Momentum histogram, where crosses over 0 indicate increasing bullish sentiment, and crosses below 0 indicate increasing bearish sentiment. You may also spot occasional divergences with the histogram.
-For the Market Sentiment option, the easiest way to use it is to look for divergences.
-And if you use the "Price Change per Volume of Each Bar", well... I honestly don't know. I guess divergences would be apparent towards the close of a bar, but in realtime, I don't recommend you use this. Maybe if you'd like to study the market movement, looking at historical data and comparing price, volume , and Change per Volume of each bar would come in handy in a pseudo-tape-reading kind of way.
Anyway, that's my explanation of this indicator. The default values were tested on BTC/USDT (Binance) 4h with decent results. You'll have to adjust the parameters for different markets and timeframes.
I have published this as a strategy so you can test out how the indicator performs as you're tweaking the parameters.
I'm aware that the code might not be the cleanest as I have only started learning pine (and code in general) for about a month, so any suggestions to improve the script would be appreciated!
Good luck and happy trading :-)
Combo Backtest 123 Reversal & MACD Crossover This is combo strategies for get a cumulative signal.
First strategy
This System was created from the Book "How I Tripled My Money In The
Futures Market" by Ulf Jensen, Page 183. This is reverse type of strategies.
The strategy buys at market, if close price is higher than the previous close
during 2 days and the meaning of 9-days Stochastic Slow Oscillator is lower than 50.
The strategy sells at market, if close price is lower than the previous close price
during 2 days and the meaning of 9-days Stochastic Fast Oscillator is higher than 50.
Second strategy
MACD – Moving Average Convergence Divergence. The MACD is calculated
by subtracting a 26-day moving average of a security's price from a
12-day moving average of its price. The result is an indicator that
oscillates above and below zero. When the MACD is above zero, it means
the 12-day moving average is higher than the 26-day moving average.
This is bullish as it shows that current expectations (i.e., the 12-day
moving average) are more bullish than previous expectations (i.e., the
26-day average). This implies a bullish, or upward, shift in the supply/demand
lines. When the MACD falls below zero, it means that the 12-day moving average
is less than the 26-day moving average, implying a bearish shift in the
supply/demand lines.
A 9-day moving average of the MACD (not of the security's price) is usually
plotted on top of the MACD indicator. This line is referred to as the "signal"
line. The signal line anticipates the convergence of the two moving averages
(i.e., the movement of the MACD toward the zero line).
Let's consider the rational behind this technique. The MACD is the difference
between two moving averages of price. When the shorter-term moving average rises
above the longer-term moving average (i.e., the MACD rises above zero), it means
that investor expectations are becoming more bullish (i.e., there has been an
upward shift in the supply/demand lines). By plotting a 9-day moving average of
the MACD, we can see the changing of expectations (i.e., the shifting of the
supply/demand lines) as they occur.
WARNING:
- For purpose educate only
- This script to change bars colors.
MACRS {Lite}This is the open-source stripped down version of the full-featured RSI-MACD indicator (MACRS), with the ADO and the option to filter out weekend price action removed.
The main oscillator is the RSI modulated by the MACD (default). The RSI mode can be disabled to revert to a normal MACD oscillator for the main oscillator.
When the main oscillator (thicker line) is > 0, it is green; and if it is < 0, it is red.
The MACD can be re-scaled and whenever its value > 100, a background fill between the oscillator and the zeroline appear to indicates overbought condition; and < -100 indicates oversold condition. The user can tweak the scaling factor to optimize this for a given chart and timeframe.
A (thick transparent light blue) volume oscillator is also provided. An increase in volume trend provides confirmation of (or solidifies) the movements in the main oscillator over that period. A falling volume oscillator trend raises doubts on the main oscillator trend, and hints of the possibility of a counter-trend (also look at the secondary ADO oscillator for clues).
The novel aspects and principles of this indicator and this source code are the property of © cybernetwork.
This indicator and script is free for the TV community to use.
100PipsADay third screen / triple screen strategy MACD and W%RThird Screen Strategy
This particular script is specifically designed around this strategy. D1 MACD & H1 Williams %.
I coded the script in a way that you automatically get the signal that is calculated taking in consideration both the indicators (macd and w%R)
Green means that the daily MACD histogram is above 0 (crowd is bullish) but w%R shows that momentarily there is a lower price (W%R is oversold),
Red is vice versa.
Quote from original post :
Below is how I would normally take a trade using my strategy.
As you can see below in my chart, I look on the D1 chart for the MACD to cross over.
Once it is clear that it has crossed over, I will enter positions on the H1 chart using Williams %.
end quote.
This Script i coded in a way that automatically account for both the indicators, so you don't have to switch between timeframes.
3 Important rules :
To get the indicator set correctly you need to use on 1 Hour time frame
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You should wait 6 hours when signal appear to open an other position on the same pair
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I coded an alarm that gets triggered when the pair meet both condition (when the bar and/or the background is green) so you can just set it by right clicking the indicator and be relaxed!
Italiano :
Strategia Third screen
Questo particolare script è specificamente progettato attorno a questa strategia. D1 MACD e H1 Williams%.
Ho codificato lo script in modo da ottenere automaticamente il segnale calcolato tenendo conto di entrambi gli indicatori (macd e w% R)
Verde indica che l'istogramma MACD giornaliero è superiore a 0 (la folla è rialzista) ma w% R mostra che momentaneamente esiste un prezzo inferiore (W% R è sotto il livello di oversold),
Il rosso è viceversa.
Ho codificato questo script in un modo che tiene conto automaticamente di entrambi gli indicatori, quindi non è necessario passare da un intervallo di tempo all'altro.
3 Regole importanti:
Per impostare correttamente l'indicatore è necessario utilizzare nel periodo di 1 ora
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Dovresti aspettare 6 ore una volta che arriva il segnale per aprire un'altra posizione sullo stessa moneta
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Ho codificato un allarme che viene attivato quando sono soddisfatte entrambe le condizioni (ossia quando lo sfondo è verde), quindi puoi semplicemente impostarlo facendo clic con il pulsante destro del mouse sull'indicatore ed essere rilassato!
Volumeweighted macd leader with bb squeezethis indicator is very useful for stocks or crytpto especialy 3d and weekly charts
daily shows good too but if u re a daily trader use it if not dont use it coz 4h and daily is noisy some when there is no trend
thats why weekly and 3d is good because it ll give u accurate signal and trend reversals
this is not my script just a combination of lazybear squeeze momentum, macdleader and volume weighted macd of kivanc
i merge them so it also shows bb squeeze on zero line and settings name is median
macd leader is 2 differen color above zero line and below zero line
above zero line if macd leader is green its buy signal and trend is up
if blue it meand no trend or trend reversal so sell or wait if u use 4h or daily but 3d and weekly it means sell
below zero line macd leader color is red and means that there is downtrend and do not buy
when 3d or weekly turns blue on macd leader it means trend reversal about the start
good with heiken ashi candles
DO NOT FORGET THIS IS NOT PERFECT INDICATOR FOR SHORT TERM, PREFER IT 3D AND WEEKLY FR BETTER RESULTS
Physics MACD double// Physics MACD double 12, 26 and 5, 15
// with rsi and cci rise green on bottom
// with macd 15 rising above 0 with macd 26 below 0 green on top
// with macd 15 below 0 and macd 26 above 0 red on top
// CCI low and increasing lime bottom
// low and high volume change red green bottom circle
// use with Physics Bollinger Bands
