S__Trader's Portfolio ManagementThis custom TradingView script is a powerful tool designed to help investors effectively manage their portfolios. This script allows you to monitor, analyze, and optimize your portfolio performance using moving averages in technical analysis. This script is for the traders who want to manage his portfolio by moving averages which is powered by using 4 of them together.
Timeframe is based on Daily as default but you can prefer to see weekly, monthly or else depends on your trading character
This script uses 4 customizable moving averages to decide cash/stocks ratio. Each moving average has %25 power of decide. If price is above the moving average, each moving average adds %25 to stock total percentage, else below they add %25 to cash. So you can decide your cash stock ratio by that moving averages.
For example if price is above all of that moving averages, script table shows you %100 total for stocks but if price is above for example 2 of that moving averages, script table shows you %50 for stocks and get remaining %50 cash.
For example if price is above only 1 of that moving averages, script table shows %25 for that stocks and that means %75 cash.
If price is below all that moving averages, script table shows %0, means that sell all stocks and stay cash %100
You can choose to plot moving averages or not
Or you can choose just track them by line
You can hide table also and decide table size and place at graph
By using this script, you can monitor your portfolio's performance, manage risk, and optimize your investment strategies. However, please remember that this script is just a tool and should not be used as a sole decision-making tool for investments. Always use it in conjunction with risk management and other analytical methods.
Hopefully, this script will help you enhance your investment process. Best of luck!
Скользящие средние
Trend_Trader_WMA (Momentum)<---> Caution! This is first test version of indicator. I am ready to get more ideas+feedback to develop it more. <--->
The "Momentum_Trader_WMA" indicator is a versatile technical analysis tool designed to help traders identify potential trend changes and momentum shifts in the market. It combines multiple indicators and moving averages to provide a comprehensive view of price action and momentum.
Key Features:
Weighted Moving Averages (WMAs): The indicator calculates two different WMAs with user-defined lengths, providing a smoothed representation of price data.
Average True Range (ATR) Bands: ATR is used to calculate dynamic bands around the WMA Average. These bands can help traders gauge market volatility and potential breakout points. The color of the ATR bands can be seen as an early signal of trends or the continuation of current trends.
Commodity Channel Index (CCI): CCI is a momentum oscillator that measures the relative strength of price changes. The indicator calculates CCI values based on a user-defined period.
Exponential Moving Average (EMA) of CCI: An EMA of CCI is plotted to help identify trends and momentum shifts.
Color-Coded Bands: The ATR bands change colors based on CCI conditions, providing visual cues for potential trading opportunities. When ATR bands transition from narrow (indicating low volatility) to wide (indicating increased volatility), it can be seen as an early signal of a potential trend change or the continuation of the current trend.
Buy and Sell Signals: The indicator generates buy and sell signals based on crossovers of WMAs and CCI thresholds, making it easier for traders to identify entry and exit points.
Customizable Moving Averages: Traders can enable or disable different moving averages (e.g., SMA, EMA, WMA, RMA, VWMA, HMA) with various periods and colors to adapt the indicator to their trading preferences.
CCI Dot Alerts: Dots are displayed at the bottom of the chart based on CCI values, helping traders spot extreme CCI conditions.
How to Use:
Trend Identification: The WMAs and ATR bands can help identify the current trend direction and its strength. When the WMAs are in an uptrend (green) and the ATR bands widen, it may indicate a strong bullish trend. Conversely, when the WMAs are in a downtrend (red) and the ATR bands narrow, it may suggest a weakening bearish trend.
Momentum Confirmation: The CCI and its EMA provide insights into market momentum. Look for CCI crossovers above 100 for potential bullish momentum and below -100 for potential bearish momentum.
Buy and Sell Signals: Pay attention to the buy and sell signals generated by the indicator. Buy when the WMAs cross over and CCI crosses above 100. Sell when the WMAs cross under and CCI crosses below -100.
ATR Bands as Early Signals: The color changes in the ATR bands can be seen as early signals of trends or the continuation of current trends. Wide ATR bands may indicate increased volatility and potential trend changes, while narrow ATR bands suggest reduced volatility and potential trend continuation.
Moving Averages: Customize the indicator by enabling or disabling specific moving averages according to your preferred trading strategy.
CCI Dots: Use the CCI dots to identify extreme CCI conditions, which may indicate overbought or oversold market conditions.
PS:
Recommended to use Indicator with price action conecpts(eg. support and resistance) as they play important role in any market.
Buy and sell signals are not really accurate. I would personally look for trend shift in WMA middle line and confirmation from CCI dots at bottom. For example. If middle line turns green and within recent 3-4 candles (or next 3-4 candles) dots tunrns green also, that means momentum has been rised in the direction of bulls.
pls, take s/r concepts first when working. I am thinking to add more precise buy sell signal method to make it easier to trade.
Good luck with your trades :)
ROCkin RSIROCkin RSI Indicator
Overview
The "ROCkin RSI" indicator combines the traditional Relative Strength Index (RSI) with an innovative approach using the Rate of Change (ROC) to offer a new way to visualize and interpret market momentum. By averaging the slope of the RSI over time and allowing for different types of moving averages, this indicator aims to help traders identify trending and reversal patterns more efficiently.
Features
RSI Calculations: The core of the indicator is based on the standard Relative Strength Index, an oscillator that measures the speed and change of price movements. The RSI oscillates between 0 and 100 and is usually used to identify overbought or oversold conditions.
Rate of Change of Price (ROC): Instead of simply plotting the RSI, this indicator calculates the Rate of Change of the closing price, essentially looking at how steep the RSI curve is over a user-defined period.
Smoothing: To reduce noise and make the curve smoother, the slope of the RSI is averaged over a given number of periods, which can either be a Simple Moving Average (SMA) or an Exponential Moving Average (EMA).
Column Plots: The smoothed RSI slope is plotted as columns, where the color of the columns (red or green) indicates whether the slope is positive or negative.
Optional RSI Moving Average: The indicator also offers an optional feature to plot a moving average of the smoothed RSI slope, aiding in trend identification.
Inputs
RSI Periods: The number of periods used to calculate the RSI.
Slope Periods: The number of periods used for calculating the Rate of Change.
Average Periods: The number of periods used for smoothing the RSI slope.
Type of Average: Choose between EMA (Exponential Moving Average) and SMA (Simple Moving Average) for smoothing.
Show RSI Moving Average: Toggle this to either show or hide the moving average of the smoothed RSI slope.
Moving Average Period: The period used for calculating the RSI Moving Average.
Moving Average Type: Choose between EMA and SMA for the RSI Moving Average.
How to Interpret
Positive Slope (Red Columns): Indicates upward momentum in the RSI, which may imply a bullish trend.
Negative Slope (Green Columns): Indicates downward momentum in the RSI, suggesting a possible bearish trend.
RSI Moving Average: Acts as a signal line to confirm the trend. When the smoothed RSI slope is above its moving average, it confirms the bullish trend, and when it's below, it confirms the bearish trend.
Practical Use
Entry/Exit Signals: Consider entering a long position when the columns of the green histogram cross above the moving average. Conversely, consider entering a short position when the columns cross under when red. The higher the columns the more likely the trade will be a good one.
Fine-Tuning and Optimization
It's crucial to understand that the default settings might not be optimal for all trading scenarios. The effectiveness of the ROCkin RSI indicator can vary based on the asset you're trading, the market conditions, and your trading style. Therefore, it's highly recommended to play with the settings and study the historical performance on the chart to grasp how the indicator behaves.
By experimenting with different periods for RSI, the Rate of Change, and the moving averages, you can tailor the indicator to better suit your needs. Studying how the indicator would have performed in the past can help you understand its potential strengths and weaknesses. Once you've got a feel for how it operates, you can then optimize the settings to align with your trading strategy and risk tolerance.
ATR Based EMA Price Targets [SS]As requested...
This is a spinoff of my EMA 9/21 cross indicator with price targets.
A few of you asked for a simple EMA crossover version and that is what this is.
I have, of course, added a bit of extra functionality to it, assuming you would want to transition from another EMA indicator to this one, I tried to leave it somewhat customizable so you can get the same type of functionality as any other EMA based indicator just with the added advantage of having an ATR based assessment added on. So lets get into the details:
What it does:
Same as my EMA 9/21, simply performs a basic ATR range analysis on a ticker, calculating the average move it does on a bullish or bearish cross.
How to use it:
So there are quite a few functions of this indicator. I am going to break them down one by one, from most basic to the more complex.
Plot functions:
EMA is Customizable: The EMA is customizable. If you want the 200, 100, 50, 31, 9, whatever you want, you just have to add the desired EMA timeframe in the settings menu.
Standard Deviation Bands are an option: If you like to have standard deviation bands added to your EMA's, you can select to show the standard deviation band. It will plot the standard deviation for the desired EMA timeframe (so if it is the EMA 200, it will plot the Standard Deviation on the EMA 200).
Plotting Crossovers: You can have the indicator plot green arrows for bullish crosses and red arrows for bearish crosses. I have smoothed out this function slightly by only having it signal a crossover when it breaks and holds. I pulled this over to the alert condition functions as well, so you are not constantly being alerted when it is bouncing over and below an EMA. Only once it chooses a direction, holds and moves up or down, will it alert to a true crossover.
Plotting labels: The indicator will default to plotting the price target labels and the EMA label. You can toggle these on and off in the EMA settings menu.
Trend Assessment Settings:
In addition to plotting the EMA itself and signaling the ATR ranges, the EMA will provide you will demographic information about the trend and price action behaviour around the EMA. You can see an example in the image below:
This will provide you with a breakdown of the statistics on the EMA over the designated lookback period, such as the number of crosses, the time above and below the EMA and the amount the EMA has remained within its standard deviation bands.
Where this is important is the proportion assessment. And what the proportion assessment is doing is its measuring the amount of time the ticker is spending either above or below the EMA.
Ideally, you should have relatively equal and uniform durations above and below. This would be a proportion of between 0.5 and 1.5 Above to Below. Now, you don't have to remember this because you can ask the indicator to do the assessment for you. It will be displayed at the bottom of your chart in a table that you can toggle on and off:
Example of a Uniform Assessment:
Example of a biased assessment:
Keep in mind, if you are using those very laggy EMAs (like the 50, 200, 100 etc.) on the daily timeframe, you aren't going to get uniformity in the data. This is because, stocks are technically already biased to the upside over time. Thus, when you are looking at the big picture, the bull bias thesis of the stock market is in play.
But for the smaller and moderate timeframes, owning to the randomness of price action, you can generally get uniformity in data representation by simply adjusting your lookback period.
To adjust your lookback period, you simply need to change the timeframe for the ATR lookback length. I suggest no less than 500 and probably no more than 1,500 candles, and work within this range. But you can use what the indicator indicates is appropriate.
Of course, all of these charts can be turned off and you are left with a clean looking EMA indicator:
And an example with the standard deviation bands toggled on:
And that, my friends, is the indicator.
Hopefully this is what you wanted, let me know if you have any suggestions.
Enjoy and safe trades!
SMI Ergodic Indicator + OscillatorThis indicator is one that I came across a while ago. The main way this indicator works is a lot like the True Strength Index except it also adds a signal line. I like to think of it as a faster MACD that gives you a chance to lag a little less behind the MACD. This of course comes with the additional risk of fake-outs being prevalent. The signal line in the indicator allows you to use the EMA in the indicator itself and adds another indicator that it's either going to do a reversal or confirm trend.
In the indicator I created it has the Oversold and Overbought areas highlighted to show the oscillators function as kind of an RSI + MACD indicator. There is also added crossing alerts in the form of circles (or whatever you want to change it to) indicating a cross of the SMI line and the Signal EMA line. This is usually the point where you want to make an entrance or exit point. The Overbought and Oversold zones are adjustable to wherever you as a trader feel comfortable having them be.
I also combined bother the SMI and Signal line with the SMI Oscillator adding a histogram.
True Range Moving Average Deviation🔶 Overview
The True Range Moving Average Deviation Indicator (TRMAD) is a technical analysis tool that combines elements of price deviation, volatility, and overbought/oversold conditions.
🔶 Key Components
Current price (Close) : most recent closing price of the asset.
Moving Average (MA) : represents a smoothed trendline of the asset's closing prices over a specified period. By default, TRMAD uses the Simple Moving Average (SMA) with a 20-period setting.
Average True Range (ATR) : reflects the average price range between the high and low over a given time frame. By default, TRMAD uses a 14-period ATR setting with a Simple Moving Average (SMA) calculation. ATR quantifies the historical price volatility of the asset, which is crucial for normalizing the price deviation.
🔶 Calculation
(Close - MA) / ATR
🔶 Interpretation
When TRMAD is above +3 ATR , it is often considered an indication that the asset may be overbought, suggesting a potential reversal or correction to the downside.
When TRMAD is below -3 ATR , it is often considered an indication that the asset may be oversold, suggesting a potential reversal or bounce to the upside.
TRMAD values around 0 ATR may indicate a balanced market condition.
🔶 Usage
🔹 Overbought and Oversold Conditions:
TRMAD can help identify overbought and oversold conditions. When TRMAD reaches or exceeds certain user-defined thresholds (e.g., +3 ATR or -3 ATR), it can signal that the asset is in an extreme condition.
Traders can use these extreme conditions to adjust their positions or look for potential reversal opportunities.
🔹 Divergence Analysis:
Traders often analyze divergences between the TRMAD indicator and price movements. For example, if the price is making higher highs while TRMAD is making lower highs (bearish divergence), it could indicate a potential trend reversal.
🔹 Trend Confirmation:
TRMAD can be used in conjunction with other technical indicators to confirm trends. For example, if TRMAD is consistently positive during an uptrend, it can provide confirmation of the trend's strength.
Positive TRMAD : When TRMAD is positive but hasn't reached the overbought threshold (e.g., +3 ATR), it suggests that there is some bullish momentum, but traders may exercise caution and look for other confirming signals before considering a long position.
Negative TRMAD : When TRMAD is negative but hasn't reached the oversold threshold (e.g., -3 ATR), it suggests some bearish sentiment, but traders may want to seek additional confirmation before considering a short position.
🔹 Risk Management:
Traders can use TRMAD as part of their risk management strategy. For instance, if TRMAD suggests that an asset is overbought, a trader might consider tightening their stop-loss orders to manage potential downside risk.
🔶 Credits
The idea about this indicator came from Fabio Figueiredo (Vlad)
Nadaraya-Watson Envelope: Modified by YosietRange Filter indicator based on the LuxAlgo Nadaraya-Watson Envelope () indicator adding the SMA 30 high and SMA 7 low to predict the changes of the trends lines price.
WARNING: This indicator, as the same as the original, repaints the chart and could affect the exact values of the prices.
SMA Low 7 was identified using tensorflowJS years ago as accurate and abstract rsi indicator
SMA High 30 was identified using tensorflowJS years ago as accurate and strong trend line
This two SMAs were added to the original indicator Nadaraya-Watson to predict the exact points where the price will change direction or will re-test the trend to continue on.
The signals will act as the Williams Fractals, replacing the original signals of the indicator.
For those ICT/SMC traders, the bands and SMAs can toggle off in the settings of this indicator.
SETTINGS
Can set the source of the UPPER band indivuadilly
Can set the source of the LOWER band indivuadilly
Can toggle the visibility of the bands, this will not affect the calculations
Can toggle the visibility of SMAs
ALERTS AND SIGNALS
When the SMA LOW 7 cross under or over the bands, will trigger a signal orange
When the SMA 30 High cross over the upper band, will trigger a short signal purpple
HOW TO USE IT
If the both signals appears (sma 7 low and sma 30 high) crossing the upper band at the same point, this means that the price will drop strongly.
If the sma 7 low cross signal (orange triangle) appears under the price and lower band, means that the price will go up.
The separation of the signals from the chart will suggest the force of the movement. While more distance be, strongest reaction of the price.
DISCLAIMER : This indicator or script does not imply or constitute financial advice, investment advice, trading advice or any other type of advice or recommendation by and for TradingView. Use it at your own risk and your own decision.
Moving Averages w/Signals [CSJ7]Unlock the power of three dynamic moving averages: Fast, Medium, and Slow. Choose between the reliability of Simple or the responsiveness of Exponential MAs. Plus, with our tailored Buy and Sell signals based on user-defined crossing scenarios, you're equipped with a clear roadmap in the ever-changing landscape of the markets.
1. Spot Trends with Ease: Our color-coded system makes identifying the market's direction intuitive. Green signals bullish momentum, while red indicates bearish movements.
2. Precision Signals: Navigate the markets confidently with our Buy and Sell signals, designed to highlight potential entry and exit points.
3. Gauge Trend Strength: The color intensity between the Medium and Slow MAs offers a visual cue on the trend's strength, ensuring you're always in the know.
Limitations:
- Inherent Lag: As with all moving average tools, there's a natural delay. But it's this reflective nature that offers valuable insights.
- Stay Alert in Sideways Markets: During consolidative phases, the indicator might produce occasional false signals. Always cross-reference with other tools.
- Customization is Key: The tool's true potential shines when you adjust the settings to align with your trading style and strategy.
4. How to Use:
Quick Setup: Select your preferred MA type, set the lengths, and define your ideal crossover scenarios. It's that simple!
Interpreting Signals: A green triangle below the price suggests a potential buying zone, while a red triangle above hints at a selling opportunity.
Trend Insights: The color gradient between the Medium and Slow MAs offers a visual representation of the trend's vigor. The more vibrant, the stronger the trend.
Elevate your trading strategy with the Moving Averages w/Signals & AutoTrade . With clarity and precision, it's the companion every trader deserves.
Alxuse Supertrend 4EMA Buy and Sell for tutorialAll abilities of Supertrend, moreover :
Drawing 4 EMA band & the ability to change values, change colors, turn on/off show.
Sends Signal Sell and Buy in multi timeframe.
The ability used in the alert section and create customized alerts.
To receive valid alerts the replay section , the timeframe of the chart must be the same as the timeframe of the indicator.
Supertrend with a simple EMA Filter can improve the performance of the signals during a strong trend.
For detecting the continuation of the downward and upward trend we can use 4 EMA colors.
In the upward trend , the EMA lines are in order of green, blue, red, yellow from bottom to top.
In the downward trend, the EMA lines are in order of yellow, red, blue, green from bottom to top.
How it works:
x1 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA3, MA4)
x2 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA2, MA3)
x3 = MA1 < MA2 and MA2 < MA3 and MA3 < MA4 and ta.crossunder(MA1, MA2)
y1 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA3, MA4)
y2 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA2, MA3)
y3 = MA4 < MA3 and MA3 < MA2 and MA2 < MA1 and ta.crossover(MA1, MA2)
Red triangle = x1 or x2 or x3
Green triangle = y1 or y2 or y3
Long = BUY signal and followed by a Green triangle
Exit Long = SELL signal
Short = SELL signal and followed by a Red triangle
Exit Short = BUY signal
It is also possible to get help from the Stochastic RSI and MACD indicators for confirmation.
For receiving a signal with these two conditions or more conditions, i am making a video tutorial that I will release soon.
Supertrend
Definition
Supertrend is a trend-following indicator based on Average True Range (ATR). The calculation of its single line combines trend detection and volatility. It can be used to detect changes in trend direction and to position stops.
The basics
The Supertrend is a trend-following indicator. It is overlaid on the main chart and their plots indicate the current trend. A Supertrend can be used with varying periods (daily, weekly, intraday etc.) and on varying instruments.
The Supertrend has several inputs that you can adjust to match your trading strategy. Adjusting these settings allows you to make the indicator more or less sensitive to price changes.
For the Supertrend inputs, you can adjust atrLength and multiplier:
the atrLength setting is the lookback length for the ATR calculation;
multiplier is what the ATR is multiplied by to offset the bands from price.
When the price falls below the indicator curve, it turns red and indicates a downtrend. Conversely, when the price rises above the curve, the indicator turns green and indicates an uptrend. After each close above or below Supertrend, a new trend appears.
Summary
The Supertrend helps you make the right trading decisions. However, there are times when it generates false signals. Therefore, it is best to use the right combination of several indicators. Like any other indicator, Supertrend works best when used with other indicators such as MACD, Parabolic SAR, or RSI.
Exponential Moving Average
Definition
The Exponential Moving Average (EMA) is a specific type of moving average that points towards the importance of the most recent data and information from the market. The Exponential Moving Average is just like it’s name says - it’s exponential, weighting the most recent prices more than the less recent prices. The EMA can be compared and contrasted with the simple moving average.
Similar to other moving averages, the EMA is a technical indicator that produces buy and sell signals based on data that shows evidence of divergence and crossovers from general and historical averages. Additionally, the EMA tries to amplify the importance that the most recent data points play in a calculation.
It is common to use more than one EMA length at once, to provide more in-depth and focused data. For example, by choosing 10-day and 200-day moving averages, a trader is able to determine more from the results in a long-term trade, than a trader who is only analyzing one EMA length.
It’s best to use the EMA when for trending markets, as it shows uptrends and downtrends when a market is strong and weak, respectively. An experienced trader will know to look both at the line the EMA projects, as well as the rate of change that comes from each bar as it moves to the next data point. Analyzing these points and data streams correctly will help the trader determine when they should buy, sell, or switch investments from bearish to bullish or vice versa.
Short-term averages, on the other hand, is a different story when analyzing Exponential Moving Average data. It is most common for traders to quote and utilize 12- and 26-day EMAs in the short-term. This is because they are used to create specific indicators. Look into Moving Average Convergence Divergence (MACD) for more information. Similarly, the 50- and 200-day moving averages are most common for analyzing long-term trends.
Moving averages can be very useful for traders using technical analysis for profit. It is important to identify and realize, however, their shortcomings, as all moving averages tend to suffer from recurring lag. It is difficult to modify the moving average to work in your favor at times, often having the preferred time to enter or exit the market pass before the moving average even shows changes in the trend or price movement for that matter.
All of this is true, however, the EMA strives to make this easier for traders. The EMA is unique because it places more emphasis on the most recent data. Therefore, price movement and trend reversals or changes are closely monitored, allowing for the EMA to react quicker than other moving averages.
Limitations
Although using the Exponential Moving Average has a lot of advantages when analyzing market trends, it is also uncertain whether or not the use of most recent data points truly affects technical and market analysis. In addition, the EMA relies on historical data as its basis for operating and because news, events, and other information can change rapidly the indicator can misinterpret this information by weighting the current prices higher than when the event actually occurred.
Summary
The Exponential Moving Average (EMA) is a moving average and technical indicator that reflects and projects the most recent data and information from the market to a trader and relies on a base of historical data. It is one of many different types of moving averages and has an easily calculable formula.
The added features to the indicator are made for training, it is advisable to use it with caution in tradings.
Crypto Notes Scalping Indicator by Mohsin
**Crypto Notes Indicator**
This custom trading indicator, named "Crypto Notes," is designed to assist traders in analyzing cryptocurrency price movements. It combines two key components: the SSL (Stochastic Support and Resistance) channel and a Moving Average.
**Indicator Components:**
1. **SSL Channel:**
- The SSL channel is a technical analysis tool that helps identify potential support and resistance levels in the cryptocurrency price chart.
- The indicator calculates two values: `sslDown` and `sslUp`, which represent potential support and resistance levels, respectively.
- The SSL channel is based on a user-defined period and length, allowing traders to customize the sensitivity of the support and resistance levels.
2. **Buy and Sell Signals:**
- Buy and sell signals are generated when the `sslUp` crosses above `sslDown` (a buy signal) or when `sslUp` crosses below `sslDown` (a sell signal).
- These signals help traders identify potential entry and exit points for their cryptocurrency trades.
3. **Moving Average (MA1):**
- The indicator also includes a customizable exponential moving average (EMA) with a length defined by the user.
- This moving average (MA1) can be used to smooth out price data and identify trends in the cryptocurrency's price movement.
**How to Use:**
1. **SSL Channel:** The SSL channel visually represents potential support and resistance levels on the price chart. Traders can observe price behavior concerning these levels to make trading decisions.
2. **Buy Signals:** Buy signals are labeled as "BUY" on the chart when `sslUp` crosses above `sslDown`. This is an indication of a potential bullish trend or an opportune time to enter a long position.
3. **Sell Signals:** Sell signals are labeled as "SELL" on the chart when `sslUp` crosses below `sslDown`. This suggests a potential bearish trend or an opportune time to exit a long position or consider shorting.
4. **Moving Average (MA1):** The customizable moving average (MA1) can help traders identify trends in the cryptocurrency's price movement. When MA1 is above the price, it may suggest an uptrend, and when it's below, it may suggest a downtrend.
**Customization:**
- Traders can adjust the indicator's parameters, such as the SSL channel period, length, and the length of the EMA (MA1), to suit their specific trading strategies and preferences.
**Disclaimer:** This indicator is a tool for technical analysis and does not provide financial advice. Trading cryptocurrencies involves risks, and users should conduct thorough research and risk management before making any trading decisions.
**Note:** It's essential to thoroughly test this indicator and incorporate it into a comprehensive trading strategy before using it for actual trading.
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Please ensure you understand the indicator's functionality and consider using it alongside other tools and analysis methods as part of your trading strategy.
SMA/EMA/RSImagic 36.963 by IgorPlahutaTwo Elements in this script:
Alerts: These are notifications that draw your attention to specific market conditions. There are two types:
RSI Higher Lows or Lower Highs: This alert triggers when the Relative Strength Index (RSI) forms higher lows or lower highs.
RSI Exiting 30 (Up) or RSI Exiting 70 (Down): These alerts activate when the RSI crosses the 30 threshold upwards or the 70 threshold downwards.
ALL BUY/SELL: to catch both of them with one setting
To Set Up an Alert: To configure an alert, select the one relevant to your trading strategy, choose the "Greater than" option, and input a value of "0" (this essentially activates the alert). Adjust other settings as per your requirements.
Please note that these alerts should be used in conjunction with a system you trust for confirmation.
Moving Averages: This involves monitoring several moving averages:
SMA12, SMA20, EMA12, EMA20: These moving averages are highlighted with background colors to help you quickly identify changes or crossovers. They are superimposed on each other for easy comparison.
SMA 50, SMA200: These moving averages are also highlighted with background colors to spot crossovers, and their lines change color depending on their direction (falling in red or rising in green).
Enjoy using these tools in your trading endeavors!
BZ_SMASMA crossover with 80% profitable probability
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Rolling VWAP OscillatorTL;DR - TradingView's Rolling VWAP as centered oscillator
I really like TradingView's rolling VWAP (Rolling Volume-Weighted Average Price - RVWAP) indicator. But I also like clean charts that's why I'm mainly using indicators which are not displayed on the chart. Instead of simply moving the RVWAP to another pane I turned it into a centered oscillator. This allows me checking the RVWAP while having my chart clean.
You can find the oroginal RVWAP here .
Creds to TradingView for creating this indicator 👍
* I also added a fourth deviation band, gradient colors and the option to switch between candles and lines.
MMI Auto Backtesting StrategyDescription:
A strategy based on ATR with auto-backtesting capabilities, Take Profit and Stop Loss (either Normal or Trailing). It allows you to select ranges of values and step for each parameter, and backtest the strategy on a multitude of input combinations at once. You can alternatively use a constant value for each parameter. The backtesting results strive to be as close as possible to those given by Tradingview Strategy Tester.
The strategy displays a table with results for different input combinations. This has columns showing current input combination as well as the following stats: Net Profit, Number of trades, % of Profitable trades, Profit Factor, Max Drawdown, Max Runup, Average Trade and Average number of bars in a trade.
You can sort the table by any column (including sorting by multiple columns at the same time) to find, for example, input combination that gives highest Net Profit (or, if sorting by multiple columns, to find input combination with the best balance of Net Profit and % of Profitable trades). You can filter by any column as well (or multiple columns at the same time), using logical expressions like "< value", "> value", "<= value", ">= value". And you can use logical expressions like "< value%" for Net Profit, Max Drawdown, Max Runup and Average trade to filter by percentage value. You will see a "↓" symbol in column's header if that column is sorted from Highest to Lowest, a "↑" symbol if it's sorted from Lowest to Highest and a "𐕢" symbol if that column is being filtered.
The table has customisable styles (like text color, background color of cells, etc.), and can show the total number of backtested combinations with the time taken to test them. You can also change Initial Capital and Position Size (either Contracts, Currency or % of Equity).
Parameters:
The following parameters are located in the "INPUTS (USUAL STRATEGY)" group, and control the behaviour of strategy itself (not the auto-backtesting functionality):
- Period: ATR Length
- Multiplier: ATR Multiplier
- DPO: length of the filtering moving average
- SL: stop loss
- TP: take profit
- Use Stop Loss: enable stop loss
- Stop Loss Mode: stop loss mode (either Normal or Trailing)
- Use Take Profit: enable take profit
- Wicks: use high & low price, or close price
The strategy also has various parameters separated by different groups:
- INPUTS (AUTO-BACKTESTING): has the same parameters as the "INPUTS (USUAL STRATEGY)" group, but controls the input combinations for auto-backtesting; all the numeric parameters have 3 values: F/V (from), T (to) and S (step); if the checkbox to the left of F/V parameter is off, the value of F/V will indicate the constant value used for that parameter (if the checkbox is on, the values will be from F/V to T using step S)
- STRATEGY: contains strategy related parameters like Initial Capital and Position Size
- BACKTESTING: allows you to display either Percentage, Absolute or Both values in the table and has checkboxes that allow you to exclude certain columns from the table
- SORTING: allows you to select sorting mode (Highest to Lowest or vice versa) and has checkboxes in case you want to sort by multiple columns at the same time
- FILTERING: has a text field for each column of the strategy where you can type logical expressions to filter the values
- TABLE: contains styling parameters
Many parameters have the "(i)" description marker, so hover over it to see more details.
Problems:
- The script works best on lower timeframes and continuous markets (trades 24/7), in other cases the backtesting results may vary from those that Tradingview shows
- The script shows closest results when Take Profit and Stop Loss are not used
- Max Runup percentage value is often wrong
Limitations:
- As we are limited by the maximum time a script can be running (which is 20s for Free plan and 40s for Paid plans), we can only backtest several hundreds of combinations within that timeframe (though it depends on the parameters, market and timeframe of the chart you use)
Strategy Gaussian Anomaly DerivativeConcept behind this Strategy :
Considering a normal "buy/sell" situation, an asset would be bought in average at the median price following a Gaussian like concept. A higher or lower average trend would significate that the current perceived value is respectively higher or lower than the current median price, which mean that the buyers are evaluating the price underpriced or overpriced.
This behaviour would be even more relevent depending on its derivative evolution.
Therefore, this Strategy setup is based on this Gaussian like concept anomaly of average close positionning compare to high-low average derivative, such as the derivative of the following ploted basic signal : 1-(high+low)/(2*close).
This Strategy can actually be used like a trend change and continuation strength indicator aswell.
In the Setup Signal part :
You can define the filtering of the basis signal "1-(high+low)/(2*close)" on EMA or SMA as you wish.
You can define the corresponding period and the threathold as a mutiply of the average 1/3 of all time value of the basis signal.
You can define the SMA filtering period of the Derivative signal and the corresponding threathold on the same mutiply of the average 1/3 of all time value of the derivative.
In the Setup Strategy part :
You can set up your strategy assesment based on Long and/or Short. You can also define the considered period.
The most successful tuned strategies I did were based on the derivative indicator with periods on the basis signal and the derivative under 30, can be 1 to 3 of te derivative and 7 to 21 for the basis signal. The threathold depends on the asset volatility aswell, 1 is usually the most efficient but 0 to 10 can be relevent depending on the situation I met. You can find an example of tuning for this strategy based on Kering's case hereafter.
I hoping that you will enjoy using this Strategy, don't hesitate to comment, to question, to correct or complete it ! I would be very curious about similar famous approaches that would have already been made.
Thank to you !
[blackcat] L1 T3 MA Lite Version
Tilson T3 Moving Average (T3MA) is a type of moving average line designed to reduce lag and improve the accuracy of trend identification. It is based on a combination of multiple smoothed moving averages, with each subsequent smoothed moving average having a higher weight than the previous one. The T3MA formula includes three different smoothing coefficients and a volume coefficient or volatility coefficient, which can be adjusted according to user preferences. T3MA is commonly used by traders and investors to identify trends and generate trading signals.
The calculation method for T3MA requires the use of exponential moving averages (EMA). In Pine scripts in the TradingView community, over 90% of them use the EMA function to calculate T3MA. Specifically, in Pine scripts, it is necessary to define the length and volatility coefficient of T3MA, then calculate three different lengths of EMA separately. Next, three constants need to be calculated that are related to volatility. Finally, the weighted average value of the three EMAs and three constants is added together to obtain the value of T3MA. If you want to customize the length and volatility of T3MA, you just need to modify the parameters in the code. Overall, T3MA is a very useful technical indicator that can help traders better understand market trends and improve trading efficiency.
The improved version introduced today mainly addresses my perception that traditional T3 algorithms are too redundant with high computational complexity leading to delayed reactions. Therefore, I have developed a lightweight version called L1 T3 MA Lite Version. This doesn't bring about any qualitative changes; it simply makes adjustments in terms of computational resources and response speed. To illustrate its advantages compared with traditional T3 MA indicators, I will provide a comparison using Everget's script from TradingView community blogger everget.
The difference between these two scripts for calculating T3 Moving Average lies in their implementation methods. The first script (Everget) uses a more complex calculation formula, which requires calculating three different lengths of EMA and computing three constants based on volatility. Finally, they are weighted averaged to obtain T3MA. This complex calculation formula can enhance the sensitivity of the T3MA indicator, thereby better identifying price trends. On the other hand, the second script (Blackcat1402) uses a relatively simple calculation formula that only requires calculating three different lengths of EMA and computing three constants based on volatility. Finally, they are weighted averaged to obtain T3MA as well. This simple calculation formula reduces computational complexity and speeds up calculations. Both have slightly different effects and calculation methods; users can choose the script that suits their needs.
In summary, T3 Moving Average is a very useful technical indicator that can help traders better understand market trends and improve trading efficiency. Users can choose scripts suitable for themselves according to their needs and flexibly adjust the length and volatility coefficient of T3MA to adapt to different markets.
