Higher Fibonacci EMAOverall image:
If the closing price is higher than the three Fibonacci EMAs (uptrend):
Thanks to @ZenAndTheArtOfTrading and his indicator "Higher Timeframe EMA", URL =
This is a trend-discriminating indicator that uses 3 EMAs.
The Williams Alligator is the underlying philosophy, and we have applied it to capture the larger trend.
It is set up for the current time frame + 2 higher time frames.
One of the upper time legs has a daily EMA length of 13 Fibonacci numbers.
The top-level time leg has a weekly EMA with a length of 5 Fibonacci.
If the current closing price of the ticker leg is higher than these three EMAs, the bar color will be green. If it is lower, it will be red. If it is neither, it will be gray.
If the bar color is green, it suggests that the trend is upward. If it is red, you can consider entering short. If it is gray, it is best not to enter anything.
Đường Trung bình trượt Hàm mũ (EMA)
All in One EMA indicator with Average EMA Calculations The Indicator displays multiple exponential moving averages (EMAs) on the chart. The six available options will let you adjust and set ]exponential moving averages ( EMAS) as per your choice. Additionally I have added an Average ema which will calculate the average of all the emas that you have selected. This average ema works very strong and greatly to find potential zone of dynamic supports and resistance as well as to gauge the overall trend .. The average ema will also allow you to keep your chart clean and you wont have to add too many emas together.
The average of the selected EMAs are displayed as a single line. This helps identify trends and potential reversals in the market. i hope this indicator will help you with trading...
Plz use the chart BINANCE:LINKBTC as reference, for back testing and educational purposes only.
Thumbs up if you liked the script.
Happy trading..
ADW - MomentumADW - Momentum is a trading indicator based on the Relative Momentum Index (RMI) and Exponential Moving Averages (EMAs). This indicator plots the RMI along with its EMAs and highlights regions where RMI crosses its slow EMA. Additionally, it provides alerts when the momentum flips bullish or bearish.
Key Features:
The RMI helps to identify momentum in the market.
Three EMAs (Fast, Standard, and Slow) were calculated on the RMI. These can be utilized to analyze the momentum trend over different periods.
Highlighted regions and colour coding to indicate when RMI crosses its Slow EMA, signalling potential momentum shifts.
Customizable parameters: Users can specify the lengths of the RMI and EMAs, boundaries for RMI, and colours for various components of the plot.
Alerts: The script can alert users when the momentum has flipped bullish or bearish.
The script is organized into several sections:
Inputs: The user can customize several parameters including the RMI averaging length, momentum lookback, RMI boundaries, and the EMA lengths. In addition, users can also specify the colours for the RMI line, Slow EMA line, and the fill colour.
RMI Calculation: The script calculates the RMI based on the user-provided length and momentum lookback. This is done by first calculating two EMAs - one for the positive differences between closing prices (emaInc), and one for the negative differences (emaDec). Then, the RMI is computed using these EMAs.
Plotting: The script plots the RMI line, Slow EMA line, and two horizontal lines indicating the RMI boundaries. In addition, it also fills the region between the RMI and Slow EMA lines.
Conditions: The script computes the conditions for bullish and bearish momentum flips. These are defined as when the RMI crosses above or below the Slow EMA respectively.
Alerts: Finally, the script sets up two alert conditions based on the bullish and bearish conditions. These alert the user when the momentum has flipped bullish or bearish, with a message that includes the current RMI value.
Savitzky-Golay Filtered Chande Momentum OscillatorThe Savitzky-Golay Filtered Chande Momentum Oscillator (SGCMO) is a modified version of the Chande Momentum Oscillator that functions as a powerful analytical tool, capable of detecting trends and mean reversals. By applying a Savitzky-Golay filter to the price data, the oscillator provides enhanced visualization and smoother readings. (credit to © anieri for the Savitzky-Golay filter code: www.tradingview.com)
Chande Momentum Oscillator
The Chande Momentum Oscillator (CMO) is a technical indicator developed by Tushar Chande. It measures the momentum of an asset's price movement and provides insights into the overbought or oversold conditions of the market. The CMO calculates the difference between the sum of positive price changes and the sum of negative price changes over a specified period, and then normalizes it to a scale between -100 and +100. Traders and investors use the CMO to identify potential trend reversals, confirm the strength of a current trend, and generate buy or sell signals.
Smoothing
The Savitzky-Golay filter is a digital filter commonly employed for smoothing and noise reduction in time-series data. In the context of the SGCMO, the aim is to effectively smooth the CMO values, reducing the impact of short-term fluctuations and providing clearer insights into underlying trends. Additionally, an exponential moving average (EMA) filter is applied to further reduce noise and enhance trend visibility. This filtered CMO indicator may provide traders and investors with a clearer and more refined representation of momentum changes in the underlying asset, helping them make more informed trading decisions.
Application
The SGCMO serves as both a trend-following and mean-reversion tool. Traders can track the current trend using bullish white lines or bearish orange lines in trending markets. Alternatively, they can utilize green and red vertical lines, which indicate price retracement and help capture pullbacks and reversals. Green vertical lines appear when the trend reverses upwards in an oversold zone (-50 to -80), while red vertical lines indicate negative trend reversals in an overbought zone (50 to 80). Opening long positions when green and white lines appear, or short positions when red and orange lines are visible, can be considered. However, it is advisable to combine this indicator with other complementary technical analysis tools and incorporate it into a comprehensive trading strategy to maximize its effectiveness.
ALMA Smoothed Gaussian Moving AverageThis indicator is an altered version of the Gaussian Moving Average (GMA) (Credit to author: © LeafAlgo ). The GMA applies weights to the prices, giving more importance to the values closer to the current period and gradually diminishing the significance of older prices. The ALMA Smoothed Gaussian Moving Average (ASGMA) applies an ALMA smoothing to its price data to minimize lag and provide a more accurate representation of the underlying trend by dynamically adapting to changing market conditions. The Arnaud Legoux Moving Average (ALMA) is a specialized smoothing technique that adjusts the weights of the moving average based on market volatility. Its calculation uses Wavelet Transform techniques which enables this type of smoothing to capture both high-frequency and low-frequency components of a signal or data. The rationale for this mashup between ALMA and Gaussian filtering is to smooth the moving average line over the smoothed price data and produce stronger trend signals.
ASGMA serves as a trend-following indicator, identifying both bullish and bearish trends. It provides buy and sell signals indicated by "B" and "S" labels plotted alongside the price data. Additionally, the ASGMA's Exponential Moving Average (EMA) line alternates between green and red, indicating bullish and bearish momentum, respectively.
The ASGMA also incorporates two popular momentum indicators, the Relative Strength Index (RSI) and the Chande Momentum Oscillator (CMO). The inclusion of these indicators aims to enhance trend identification and reversal signals. For a strong buy signal, all three indicators (RSI, CMO, and ASGMA) must indicate bullish conditions, resulting in a vertical green line. Conversely, a vertical red line is plotted when all indicators indicate bearish conditions, representing a strong sell signal.
The ASGMA, with its unique combination of smoothing techniques and indicator amalgamation, provides traders and investors with powerful analytical tools. It can be applied in trend-following strategies using the regular buy and sell signals generated by labels and the EMA line. Alternatively, the vertical lines offer stronger buy and sell signals. These features aid in identifying potential entry and exit points, thereby enhancing trading decisions and market analysis. However, it is important to remember that the future performance of any trading strategy is fundamentally unknowable, and past results do not guarantee future performance.
Bank Nifty ScalpingThis indicator is designed for scalping purposes.
Users have the option to input the desired source and enable or disable the following indicators:
Multiple EMA (Exponential moving average)
Simultaneously displays multiple moving averages to quickly identify shifts in momentum and obtain confirmation from slower-moving averages.
By default, the EMA display settings are configured to show the 20-day EMA and the 200-day EMA. However, users have the flexibility to modify the display settings according to their preferences. This means that users can customize the indicator to show the EMA values of their choice, such as EMA 50 and EMA 100.
VWAP ( Volume weighted average price )
Default value is set to ‘hl2’
A bullish trend is indicated when the price is above the Volume Weighted Average Price (VWAP), while a bearish trend is indicated when the price is below the VWAP.
VWMA ( Volume weighted moving average )
In the VWMA (Volume Weighted Moving Average) indicator, a default value of 20 is used. If the price is higher than the VWMA, it typically indicates a bullish trend. Conversely, if the price is lower than the VWMA, it suggests a bearish trend. The VWMA takes into account both price and volume, providing a weighted average that can help identify shifts in market sentiment.
Multiple SuperTrends
Default value is 10 and 2 / 10 and 3
A bullish trend is identified when the price is above the SuperTrend indicator, whereas a bearish trend is observed when the price is below the SuperTrend indicator.
Camarilla Pivot Points (Level 3 and 4 only)
Levels 3 and 4 serve as crucial support and resistance levels, acting as the final line of defense against strong trends. These levels are expected to generate reversals, where price often changes direction.
CPR ( Central Pivot Points)
The Daily Central Pivot Point Indicator is a popular tool used in technical analysis. It calculates several levels based on the previous day's high, low, and closing prices.
Strong Volume
The user has the ability to set the average volume for Nifty and BankNifty indices to calculate strong volume.
Elder Impulse System
The Impulse System, developed by Alexander Elder and discussed in his book "New Trading for a Living," is a censorship trading system designed to determine whether a trade should be allowed or prohibited. Additionally, it can be used to identify when a trend is starting to weaken. The Impulse System relies on the following factors:
1. Slope of a Fast Exponential Moving Average (EMA): The fast EMA's slope reflects the price's inertia or momentum.
2. Slope of the Moving Average Convergence Divergence (MACD): The MACD's slope indicates the strength or power of the price movement.
Based on these factors, the Impulse System categorizes candles or price bars into three colors:
* Green Candle: When both the fast EMA and MACD are rising, indicating upward momentum.
* Red Candle: When both the fast EMA and MACD are declining, suggesting downward momentum.
* Blue Candle: In all other cases where the conditions for green or red candles are not met, representing a neutral or uncertain market condition.
By applying the Impulse System, traders can gain insights into the market trend, its strength, and potential shifts in momentum, helping them make informed trading decisions.
Happy Trading
Advanced Exponential Smoothing Indicator (AESI) [AstrideUnicorn]The Advanced Exponential Smoothing Indicator (AESI) provides a smoothed representation of price data using the exponential smoothing technique. It helps traders identify the overall trend and potential reversal points in the market.
SETTINGS
Length: The number of periods used for the calculation of the exponential moving average (EMA). Higher values provide a smoother result but may lag behind price movements.
Alpha: The smoothing factor that determines the weight of the recent price data in the smoothing calculation. Higher values give more weight to recent data, resulting in a more responsive indicator.
Cloud Mode: Determines whether to display a cloud between the AESI line and the EMA line. When enabled, the cloud represents bullish (green) and bearish (red) market conditions.
HOW TO USE
The AESI indicator consists of a single line that represents the advanced exponential smoothing of the price data. It aims to provide a smoother version of the price series, reducing noise and revealing the underlying trend.
Bullish Condition: When the AESI line is above the EMA line, it indicates a bullish market condition. Traders may consider looking for buying opportunities or holding onto existing long positions.
Bearish Condition: When the AESI line is below the EMA line, it suggests a bearish market condition. Traders may consider looking for selling opportunities or holding onto existing short positions.
Optional Cloud Mode:
Enabling the cloud mode allows you to visualize bullish and bearish market conditions more clearly. The cloud appears between the AESI line and the EMA line, providing a visual representation of the prevailing market sentiment.
Bullish Cloud: When the AESI line is above the EMA line, the cloud is green, indicating a potential bullish market condition.
Bearish Cloud: When the AESI line is below the EMA line, the cloud is red, indicating a potential bearish market condition.
Note: The AESI indicator is most effective when used in conjunction with other technical analysis tools and indicators to confirm trading signals and make informed trading decisions.
Adjusting the Parameters:
You can adjust the Length and Alpha parameters to find the best ones for different timeframes and market conditions. Experimenting with different parameter values can help you find the optimal settings for your trading strategy.
It is recommended to backtest the AESI indicator on historical price data and evaluate its performance before using it in live trading. Remember that no indicator can guarantee profitable trades, and it is important to use risk management techniques and exercise caution when making trading decisions.
[FC] Multi EMA Cross Alerts Fltered with RSI and StochThis script prints Green Dots and Red Dots on candle close using Faster EMA ( 5 ) and Slower EMA (10 ) filtering with RSI (50)+ Stochastic %K ( 20 to 80 ) Smoothning(3).
The idea behind is to you use dots for scalping on smaller timeframe(5) ,(10) etc but you can modify all values to better fit your needs.
Explaination for Green Dots and Red Dots:
---> Green dot : 5 Ema crosses above 10 Ema ( i.e faster EMA crosses above slower EMA which signals price is trying to move up
RSI value > 50 (filtering for quick move)
stoch %k value between 20 and 80 ( filtering to know there is leg left in the move and all movement is already not done)
---> Red dot : 5 Ema crosses below 10 Ema ( i.e faster EMA crosses above slower EMA which signals price is trying to move down
RSI value < 50 (filtering for quick move)
stoch %k value between 20 and 80 ( filtering to know there is leg left in the move and all movement is already not done)
Banana RSIBanana RSI is not just ap-PEAL-ing to the eyes!
This simple little indicator provides a New Approach to determining Overbought and Oversold levels, as well as taking advantage of a non-typical smoothing method for this type of indicator.
Banana RSI uses a Cumulative High and Low Average to draw the upper, lower, and midline.
The High and Low Averages use the data only from above or below the Cumulative Average to calculate their respective line.
In simpler terms:
The High average is an average of every value ABOVE the full average.
The Low average is an average of every value BELOW the full average.
This creates an automated method to determine overbought and oversold territory based on the charts historical movement.
Since every chart can be different, these levels change with the chart.
Banana RSI also uses a linear regression smoothing method , by taking advantage of the built-in Least Squares Moving Average, we are able to view a better reacting/less-lagging moving average.
Included are 2 Length-Adjustable LSMA lines to use however needed.
Using the Regression Lines along with the High & Low Averages provides a new view on the classic RSI indicator.
Enjoy!
Algorganic Buy / Sell / X-Exit Signal [UOI]The " Algorganic Buy / Sell / X-Exit Signal " indicator is an Algorithmic Machine Learning-based superpack indicator that generates buy and sell signals for trading in financial markets. It is packed with conditional statemnets and filters to avoid false signals and utilizes Nearest Neighbors Model (NNM) algorithm with a distance metric to determine the direction of the price movement and make predictions according to the next past 12 bars for the next 4 to 8 bars in whatever chart frame the trader is using. Ideal time frames are 2, 3, 5 and 15 minutes for option traders and scalpers can use it on the 1 minute chart.
The indicator takes into account various technical indicators such as Relative Strength Index (RSI), Average Directional Index (ADX), CCI, Stochastic, ATR and major EMAs and has two optimizer for confirmation. These indicators are used as features to train the Machine Learning model and at the same time to provide better buy and sell signals with multiple "if" conditions.
The NNM algorithm calculates the distance between the current data point and historical data points. It works like a mixture of ATR and ADX. By considering the nearest neighbors, the model predicts the direction of future price movement. The predictions are filtered using additional criteria, including volatility, trend detection, and, ATR and ADX values.
The indicator provides visual signals on the chart, indicating when to enter a long (buy) or short (sell) position but traders should also be mindful of support and resistance levels and oversold and overbought conditions and the higher timeframe signal. It also offers options for dynamic exits based on specific conditions or fixed exits after a predefined number of bars.
Additionally, the indicator includes filters based on EMA (Exponential Moving Average), SMA (Simple Moving Average), and a kernel regression technique. These filters help to refine the signals and reduce noise in the predictions.
The indicator also includes alert functionalities to notify traders of entry and exit points.
The Algorganic is a versatile trading indicator that provides buy and sell signals based on the analysis of various popular technical indicators in combination with Machine Learning techniques with technical analysis and support and resistance levels to generate trading signals, helping traders make informed decisions. This powerful tool overlays on your price chart and can be used across different markets and timeframes.
Key Features:
1. Dynamic EMA Support and Resistance Levels: You can define the top and bottom lines as either 'Support' or 'Resistance'. These levels are calculated using an Exponential Moving Average (EMA) and Average True Range (ATR) inputs.
2. Exponential Moving Average (EMA): The EMA is calculated based on the EMA length input provided by the user, with a default setting of 21 periods.
3. Average True Range (ATR): The ATR is calculated with a default length of 14 periods and is used in determining the support and resistance levels.
4. Buy/Sell Signals: The indicator provides buy and sell signals when the price hits the defined support or resistance levels. These signals are represented by X-shapes plotted on the chart, with green indicating a hit on support (buy signal), and red indicating a hit on resistance (sell signal).
5. Trend Strength Analysis: It uses a unique combination of technical indicators like MACD, RSI, Velocity, CCI, Stochastic, and a custom trend strength indicator. The settings for each of these indicators can be customized according to user preference.
6. Bull/Bear Tug of War: This feature paints the little triangles green if the majority of the indicators are bullish, and red if the majority are bearish. This is a powerful feature to visualize the overall market sentiment.
7. Buy/Sell Alert: The script generates alerts for potential buy and sell signals. Alerts contain information about the signal type, ticker symbol, and current price.
8. Plot EMA Line: This indicator includes an option to display an additional EMA line on the chart, which can be toggled on or off as per the user's choice.
How to use it:
You basically need to master riding this machine. There are a lot of conditions that have been added to make sure novice traders do not make a mistake. The image below shows how to use the indicator. Pay attention to colors:
Longer time frame you should pay attention to the EMA lines and over bought and oversold levels in the optimizers. here is an example:
And another example on 15 min timeframe:
On top of all the above, this indicator has a built-in advanced support and resistance tool that dynamically identifies pivot points and their corresponding support and resistance zones based on the historical data of a given asset. So what this means is that you should ignore a buy signal very close to a resistance and only enter when the resistance is broken.
Here are the configurable support and resistance parameters:
1. Pivot Period : The period considered for pivot detection. The range is between 4 to 30 days with a default value of 25.
2. Source: The price point to be used as the source for pivot detection. You can choose between 'High/Low' and 'Close/Open'.
3. Maximum Number of Pivot: This defines the maximum number of pivot points that the algorithm will store. This can be anywhere from 5 to 100, with 45 as the default value.
4. Maximum Channel Width % : This sets the maximum width of the support/resistance channel as a percentage. Minimum value is 1, with a default value of 10. Higher numbers capture longer timeframe and lower number shorter timeframes. For scalping use 5 or 8 for swing use 12 or 14.
5. Maximum Number of Lines: This sets the maximum number of support/resistance lines displayed on the chart. It ranges from 1 to 15 with a default of 10.
6. Minimum Strength: This is the minimum strength of the support or resistance line, defined by the number of times price touches it. It ranges from 1 to 10 with a default of 2.
7. Line Style: This option allows the user to choose the line style between 'Solid', 'Dotted', and 'Dashed'.
8. Line Width: This allows users to choose the width of the line ranging from 1 to 4.
9. Resistance Color and Support Color: These define the colors for the resistance and support lines.
The script also includes functions to calculate if the price has crossed over or under a support or resistance line.
The S/R assist uses these inputs to calculate pivot highs and lows, create support and resistance zones, and plot these on the chart. When the price crosses a support or resistance line, the script can identify this as a possible trading signal. The lines' strengths are also calculated, and only those with strengths above the user-defined minimum are drawn on the chart.
SmartVPSGTitle: Identifying Volume Spikes, Price Movements and Gap Ups: A TradingView Script
Introduction:
In the world of trading, identifying volume spikes and price movements can provide valuable insights into market trends and potential trading opportunities. In this article, we'll explore a TradingView script that helps traders visualize volume spikes, price up moves with volume spikes, and gap-up days on their charts.
Detecting Price Up Moves:
The script starts by calculating price up moves. It compares the current day's closing price with the previous day's closing price and checks if it has increased by 3% or more. This helps traders spot significant upward price movements.
Detecting Volume Spurts:
Next, the script focuses on detecting volume spikes, which are often associated with increased market activity and potential trading opportunities. It compares the current day's volume with the highest volume of the previous nine sessions. If the current volume exceeds all the volumes of the previous nine sessions, it is considered a volume spurt.
Example:
Let's consider a hypothetical scenario where we have the following volume data for a stock:
Day 1: 100,000
Day 2: 80,000
Day 3: 120,000
Day 4: 150,000
Day 5: 200,000
Day 6: 90,000
Day 7: 110,000
Day 8: 130,000
Day 9: 140,000
Day 10: 250,000 (current day)
To determine if there is a volume spurt on Day 10, the script compares the current day's volume (250,000) with the highest volume of the previous nine sessions. In this case, the highest volume among the previous nine sessions is 200,000 (on Day 5). Since the current day's volume (250,000) exceeds the highest volume of the previous nine sessions (200,000), it is considered a volume spurt.
Identifying Gap-Up Days:
Gap-up days occur when the market opens significantly higher than the previous day's close. To identify these days, the script compares the current day's low price with the previous day's high price. If the low price is greater than the previous day's high, it is marked as a gap-up day.
Visualizing the Findings:
To provide a clear visual representation of the identified patterns, the script uses different shapes and colors. First, it plots small red dots above the candles whenever a volume spurt is detected. These dots help traders quickly identify periods of increased volume activity.
For price up moves with volume spikes, the script utilizes blue triangular shapes below the candles. This allows traders to pinpoint instances where both price and volume are showing positive signs, indicating potential bullish movements.
Additionally, the script incorporates green candles to represent gap-up days. These candles help traders recognize days when the market opens with a significant upward gap, suggesting a potential shift in market sentiment.
Conclusion:
The TradingView script discussed in this article provides traders with a visual representation of volume spikes , price up moves with volume spikes , and gap-up days . By incorporating these visual cues into their analysis, traders can gain valuable insights into market trends and potential trading opportunities.
Remember, this script should be used for educational and informational purposes only and does not serve as financial advice or recommendations. Traders are encouraged to customize and modify the script according to their specific trading strategies and risk tolerance.
Share this script with other traders on TradingView to enhance their chart analysis and trading decisions.
PS: This TradingView script is designed to work specifically on the daily timeframe (daily candles). It calculates and identifies volume spurts based on the volume data of the daily timeframe. Since it is designed for the daily timeframe, it may not produce accurate results or work as intended on other timeframes.
PA Double Diamond [NawidD.]This indicator will use ALMA cross as strategy to display Buy and Sell signals. You can filter the signals with several options, like a Moving Average (MA), True Strength Index (TSI), Range Filter, and/or filter by session. You can set alerts with pre-defined Take Profit (TP) and Stoploss (SL). Please read below for more detailed information.
Plots on the chart
- ALMA Fast and ALMA Slow.
- ALMA Cross Dots on top.
- Buy/Sell signals. Show as a Diamond or as regular.
- Moving Average (MA). Available options: SMA/EMA/ZLEMA/DEMA/TEMA.
- Sessions Filter (London/New York/Tokyo/Sydney)
- Take Profit and Stoploss.
- Show Stoploss hit.
ALMA
Default is ALMA Fast set to 13 and ALMA Slow set to 50. These can be changed by input.
ALMA Cross Dots on top
This will display dots on top of the chart. It shows ALMA Fast and ALMA Slow crosses only, without MA, TSI, Range Filter, and Session filter.
- Blue dot: ALMA crossover, up direction.
- Orange dot: ALMA crossunder, down direction.
Moving Average (MA) for overall trend direction
It is possible to enable the overal trend direction using the MA.
When enabled, Buy signals will be shown when signal is above the MA, and Sell signals will be shown when signal is below the MA. The following options are available:
- SMA = Simple Moving Average
- EMA = Exponential Moving Average
- ZLEMA = Zero Lag Exponential Moving Average
- DEMA = Double Exponential Moving Average
- TEMA = Triangular Moving Average
True Strength Index (TSI)
The signals can be filtered using the True Strength Index (TSI). Please note, this indicator will use the TSI, but won't display it for visualization. Default options: Long Length 25, Short Long 13, Signal Length 13. This can be changed by input.
Range Filter
The signals can be filtered using the Range Filter. Change the input in the settings. You can also display the Range Filter from the Styles tab.
Sessions Filter
Filter signals by session. You can also select the UTC timezone, and use daylight savings time (this will add 1 hour for daylight savings time). Available options to use as session filter: London/New York/Tokyo/Sydney. You can also display the sessions without using them as filter.
Take Profit (TP) and Stoploss (SL)
The TP and SL can be set. Use the value in ticks. So 30 pips equals 300 ticks. You can enable/disable the TP and SL from settings.
Alert Option
Alerts can be set to message you with the pre-defined TP and SL when a Buy Signal or Sell Signal occurs. I recommend to use alerts with trigger "Once per bar close". When linked to your broker/metatrader it is possible to set the indicator as autotrading since it will message you:
- Entry price
- TP price
- SL price
Parabolic SAR + EMA 200 + MACD SignalsParabolic SAR + EMA 200 + MACD Signals Indicator, a powerful tool designed to help traders identify optimal entry points in the market.
This indicator combines three popular technical indicators: Parabolic SAR (Stop and Reverse), EMA200 (Exponential Moving Average 200) and MACD (Moving Average Convergence Divergence) - to provide clear and concise buy and sell signals based on market trends.
The MACD component of this indicator calculates the difference between two exponentially smoothed moving averages, providing insight into the trend strength of the market. The Parabolic SAR component helps identify potential price reversals, while the EMA200 acts as a key level of support and resistance, providing additional confirmation of the overall trend direction.
Whether you're a seasoned trader or just starting out, the MACD-Parabolic SAR-EMA200 Indicator is a must-have tool for anyone looking to improve their trading strategy and maximize profits in today's dynamic markets.
Buy conditions
The price should be above the EMA 200
Parabolic SAR should show an upward trend
MACD Delta should be positive
ُSell conditions
The price should be below the EMA 200
Parabolic SAR should show an downward trend
MACD Delta should be negative
DCA EMA Simple Bot [Starbots]
This is a simple idea of DCA trading on EMA crosses. Strategy is not repainting.
The difference between this and any other strategy is, that this script allows you to preset DCA buy triggers at desired levels and customize each DCA order size independently. Alerts are working, this strategy is easily used for automatic trading.
I mainly trade on Cryptohopper, Pionex, 3commas. This was created for community, alerts are working and non-repainting. Should work on any other as well.
Trading Condition:
It's buying when Fast EMA crosses up Slow EMA. Set your paramters.
It's selling if EMA's crosses back, signaling a sell. Optional.
DCA:
You can enter DCA on 20 custom levels or layers. It buys DCA when price hits the plotted blue line on the chart that's set by input % triggers. (buy 1st DCA at 2% drop, buy 2nd DCA at 5% drop,...)
Set your Inital Capital and Pyramiding in Properties tab, Initial Order Size and DCA Order Size (lot1,lot2,lot3,..), Order Type are changed in strategy inputs.
-By default you can see that we buy when EMA's cross up and signal a buy for 10% of equity, if market is dropping you will then place a first DCA order ( 20% equity) at 2% drop (lower) from initial order. If market keeps dropping you have more DCA levels where you can buy and average down your holding position. For selling you can use Take profit and Stop Loss targets that averages down multiple open positions, it will sell it once it reaches your desirable Take Profit and close a deal. You can also close your trade if EMA signals a sell.
Pyramiding - number of orders you can open at a time
Your first buy order is pyramiding 1. To allow it to buy 1 DCA or merge one time, set pyramding to 2.
Want to DCA 10 times? Set pyramiding at 11. (+1 always)
More features:
- Profit Calendar
- Show Balance label before every new trade
- DCA table - visualize how much of your investment is used in trades. If a background of the table is green you are okay, if the background color is red - you are using more money for orders than you actually have.
Buy Orders << Strategy Equity/Capital
- Show / Hide DCA lines - if your chart processing is getting slow you should hide some DCA levels to speed it up
- Backtesting Range - for testing the strategy in different time windows
- Alerts
When all trades are closed on your chart, winning rate of the strategy is 100% actually.
Win rate is shown differently as it's actually closing and opening every trade individually by default in TradingView system. We merge positions together and average it down into one big position to later sell for a profit (DCA).
You use this Trading Algorithm at your own risk. Do not trade before testing or invest something you cannot afford to lose on markets.
Trend hunter strategy - buy & sellThe indicator combines multiple technical indicators and conditions to generate buy and sell signals.
Here's how the indicator works and how to use it:
Strategy Selection:
The indicator provides a dropdown menu to choose the type of strategy. The available options are "Pullback" and "Simple."
Supertrend Settings:
The Supertrend indicator is used to identify the trend direction.
The indicator takes two input parameters:
ATR Length: Specifies the length of the Average True Range (ATR) used in the Supertrend calculation. The default value is 10.
Factor: Specifies the factor used in the Supertrend calculation. The default value is 3.0.
EMA Settings:
The indicator also includes an Exponential Moving Average (EMA) condition.
You can enable or disable the EMA condition using the "Ema Condition On/Off" checkbox.
If enabled, the indicator calculates an EMA based on the close price.
You can specify the length of the EMA using the "Ema Length" input parameter. The default value is 200.
RSI Settings:
The Relative Strength Index (RSI) indicator is used to generate additional conditions.
You can enable or disable the RSI condition using the "Rsi Condition On/Off" checkbox.
If enabled, the indicator calculates the RSI based on the close price.
You can specify the length of the RSI using the "Rsi Length" input parameter. The default value is 14.
Additionally, you can set the overbought and oversold levels for the RSI using the "RSI BUY Level" and "RSI SELL Level" input parameters, respectively. The default value for both is 50.
Final Conditions:
The indicator combines the Supertrend, EMA, and RSI conditions to generate buy and sell signals.
The specific conditions depend on the chosen strategy:
For the "Simple" strategy, the buy condition is when the Supertrend is in an up trend, not in a previous long position, the RSI is above the overbought level, and the close price is above the EMA.
For the "Pullback" strategy, the buy condition is when there is a cross under of the previous low with the Supertrend, the Supertrend is in an up trend, the RSI is above the overbought level, and the close price is above the EMA.
The sell conditions are the opposite of the respective buy conditions.
Backtest Period:
You can specify the start and end dates for the backtesting using the "Start calculations from" and "End calculations" inputs, respectively. The default start date is "2005-01-01" and the default end date is "2045-03-01." (this is work in progress) Still working on the table part, it is a bit tricky.
Trade Direction:
You can choose the trade direction using the "Trade Direction" input parameter. The available options are "Long," "Short," and "Both."
Depending on the selected trade direction, the indicator will generate signals accordingly.
Visual Display:
The indicator plots the Supertrend line on the price chart.
Buy signals are shown as green labels below the price bars.
Sell signals are shown as red labels above the price bars.
Adjust the input parameters according to your preferences, and then apply the indicator to a chart to see the generated signals. Please note that this indicator should be used for educational purposes only and should be thoroughly tested before using it for real trading.
3 Fib EMAs To Scalp Them AllThe "3 Fib EMAs To Scalp Them All" was made in order to clear up when we should look for shorts, longs, or walk away. Also it can alert you when a trend starts, or when there is a possible reversal. I use it for scalping/day trading in 5m-1h timeframes.
1. EMAs: By default, the indicator uses Fibonacci numbers (21, 55, 233), but you can change them.
2. Color Changes: The color of the Micro EMA line changes depending on its relation to the Mid and Macro EMAs.
When Micro EMA < Mid < Macro EMA, it turns red, indicating a potential bearish trend - that's when you should look for shorts
When Micro EMA > Mid > Macro EMA, it turns green, indicating a potential bullish trend - that's when you should look for longs
A white Micro EMA is when you need to take some rest, enjoy your coffee, and avoid overtrading.
3. Signals: The indicator provides visual signals in the form of diamonds and crosses and corresponding alert signals.
A red diamond above the bar signals a potential beginning of a downtrend
A red cross above the bar signals the end of the downtrend and can be used as a signal for a possible reversal up/breakout.
A green diamond below the bar signals a potential beginning of a downtrend,
A green cross below the bar signals the end of the uptrend and can be used as a signal for a possible reversal down/breakout.
4. Alerts: For algo traders and people who prefer to stay away from the monitor... there are alerts for every signal.
Friendly note: Don't blindly follow the signals for your long and short entries. The signals only pop up when the EMA cross value gets a confirmation. A smart move would be to wait for a retracement to the EMA line and use momentum indicators like market cipher B to pinpoint those ideal entry points.
EMA with Buy/Sell Signals by lbkindCertainly! Here's a description of the code:
This Pine Script code is designed to plot Exponential Moving Averages (EMAs) on a chart and generate buy/sell signals based on specific conditions. The code includes a filter to reduce false signals by considering the trend of the EMA 200.
The key components of the code are as follows:
1. Input Variables: The code starts by defining input variables such as the periods for the EMAs (ema200Period, ema50Period, ema13Period), the Average True Range period (atrPeriod), and the chopiness threshold (chopinessThreshold).
2. Calculating EMAs: The EMAs (ema200, ema50, ema13) are calculated using the `ema()` function based on the closing price.
3. Average True Range (ATR): The ATR is calculated using the `atr()` function with the specified period (atrPeriod).
4. Normalized ATR: The normalized ATR is computed by dividing the ATR by the closing price and multiplying by 100. This allows for better comparison across different price levels.
5. EMA 200 Trend Direction: The code determines the trend direction of the EMA 200 by comparing the current value with the previous value. The variables `ema200TrendUp` and `ema200TrendDown` are assigned `true` or `false` values based on the trend direction.
6. Generate Buy/Sell Signals: The buySignal is generated when the following conditions are met:
- There is a crossover of the shorter EMAs (ema13, ema50).
- The EMA 200 is in an uptrend (`ema200TrendUp` is true).
- The current close is above the EMA 200.
- The normalized ATR is below the specified chopiness threshold.
The sellSignal is generated when the opposite conditions are met.
7. Plotting: The EMAs (ema200, ema50, ema13) are plotted on the chart using the `plot()` function. The buy and sell signals are plotted as labels using the `plotshape()` function. The buySignal is displayed below the candle (`location=location.belowbar`), and the sellSignal is displayed above the candle (`location=location.abovebar`).
By incorporating these features, the code provides a visual representation of the EMAs, along with buy and sell signals that consider the EMA 200 trend, crossover of shorter EMAs, and the normalized ATR condition. This helps in identifying potential entry and exit points in the market while attempting to reduce false signals.
Projected EMA based on past 21 days [UOI]As we transition from a bear market to a more positive market sentiment, many equities are starting to rise above the 200-day Exponential Moving Average (EMA) and experience significant price increases solely based on this technical factor.
Here is a good example with NYSE:AMC :
This indicator is designed to help you predict the future crossover point by calculating the average price over the past 21 days and projecting the 200-day EMA for the future.
This indicator is tailored to assist average individuals who are interested in swing trading stocks or other securities. It enables them to anticipate when the price of a stock might move above or below a significant level known as the 200-day EMA, although it can be adjusted to different values like 100 or 50 EMA. When a stock price moves above the 200-day EMA, it is often considered a positive sign for future price increases.
Here is how this can help us understand the natural cycle of price action:
The indicator functions by calculating the average price over the past 200 days, which helps smooth out daily price fluctuations and provides a clearer perspective of the overall trend. It also considers the average price change over the previous 21 days to project future prices. By doing so, it aims to predict when the price might cross above the 200-day EMA line.
When utilizing this indicator, you will observe two lines on the price chart. The first line represents the 200-day EMA, visually depicting the average price trend. The second set of lines, displayed as dashed lines, indicate potential future price movements. These lines assist in anticipating when the price might surpass the 200-day EMA line, indicating a potential upcoming bullish (upward) trend.
To summarize, this indicator serves as a valuable tool for average individuals interested in trading securities. It facilitates the identification of critical points in stock prices, empowering users to make more informed decisions regarding when to buy or sell based on projected movements relative to the 200-day EMA line.
9:22 5 MIN 15 MIN BANKNIFTY9:22 5 MIN 15 MIN BANKNIFTY Strategy with Additional Filters
The 9:22 5 MIN 15 MIN BANKNIFTY Strategy with Additional Filters is a trend-following strategy designed for trading the BANKNIFTY instrument on a 5-minute chart. It aims to capture potential price movements by generating buy and sell signals based on moving average crossovers, breakout confirmations, and additional filters.
Key Features:
Fast MA Length: 9
Slow MA Length: 22
ATR Length: 14
ATR Filter: 0.5
Trailing Stop Percentage: 1.5%
Pullback Threshold: 0.5
Minimum Candle Body Percentage: 0.5
Use Breakout Confirmation: Enabled
Additional Filters:
Volume Threshold: Set a minimum volume requirement for trades.
Trend Filter: Optionally enable a trend filter based on a higher timeframe moving average.
Momentum Filter: Optionally enable a momentum filter using the RSI indicator.
Support/Resistance Filter: Optionally enable a filter based on predefined support and resistance levels.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the fast moving average crosses above the slow moving average, with additional confirmation from breakout and volume criteria, along with optional trend, momentum, and support/resistance filters.
Sell Signal: A sell signal is generated when the fast moving average crosses below the slow moving average, with similar confirmation and filtering criteria as the buy signal.
Exit Strategy:
The strategy employs a trailing stop-loss mechanism based on a percentage of the average entry price. The stop-loss is dynamically adjusted to protect profits while allowing for potential upside.
Please note that this strategy should be thoroughly backtested and evaluated in different market conditions before applying it to live trading. It is also recommended to adjust the parameters and filters according to individual preferences and risk tolerance.
Feel free to customise and adapt the description as needed to suit your preferences and the specific details of your strategy.
CUSTOM VWAP EMAThe Custom VWAP EMA (Volume-Weighted Average Price Exponential Moving Average) indicator is a powerful tool developed by Vedic Trading to provide traders with valuable insights into market trends and potential reversals. This indicator combines two key elements: the VWAP and the 37 EMA, along with a color-changing feature, to enhance trading decisions.
The VWAP is a popular technical analysis tool used to calculate the average price at which a security has traded throughout the day, taking into account both price and volume. It provides a weighted average based on the volume traded at different price levels, giving more importance to higher volume areas. The VWAP helps traders identify areas of support and resistance and provides a reference point for assessing the fair value of an asset.
The 37 EMA is an exponential moving average calculated by placing more weight on recent price data points. It helps smooth out price fluctuations and provides a visual representation of the overall trend. The 37 EMA is commonly used to identify the direction of the market and potential entry and exit points.
The Custom VWAP EMA indicator combines the VWAP and the 37 EMA to provide traders with a comprehensive view of market dynamics. It calculates the VWAP for different time intervals, such as 15 minutes, daily, and weekly, allowing traders to assess the intraday, daily, and longer-term trends.
One unique feature of this custom indicator is the color-changing capability. The indicator's color changes based on the relationship between the VWAP and the 37 EMA. For example, if the VWAP is above the 37 EMA, the indicator may turn green, indicating a potential bullish trend. Conversely, if the VWAP falls below the 37 EMA, the indicator may change to red, suggesting a potential bearish trend. This color-coded visual cue helps traders quickly identify market conditions and potential trade opportunities.
The Custom VWAP EMA indicator developed by Vedic Trading provides traders with a comprehensive analysis of market trends by combining the VWAP and the 37 EMA. Its color-changing feature enhances the visual interpretation, making it easier for traders to spot potential trading opportunities. This indicator can be a valuable tool for traders seeking to make informed decisions based on the interplay between volume, price, and trend dynamics.
Buy Sell using 5-8-13 EMA, RSI, PSAR IndicatorThis indicator generates Scalping and Strong Buy/Sell Signals.
Quick Scalp signals are generated using 5 EMA and RSI.
Strong Buy/Sell Signals are generated using combination of 5-8-13 EMA and Parabolic SAR.
Signals generated:
QB: Quick Buy
QS: Quick Sell
SB: Strong Buy
SS: Strong Sell
Machine Learning : Cosine Similarity & Euclidean DistanceIntroduction:
This script implements a comprehensive trading strategy that adheres to the established rules and guidelines of housing trading. It leverages advanced machine learning techniques and incorporates customised moving averages, including the Conceptive Price Moving Average (CPMA), to provide accurate signals for informed trading decisions in the housing market. Additionally, signal processing techniques such as Lorentzian, Euclidean distance, Cosine similarity, Know sure thing, Rational Quadratic, and sigmoid transformation are utilised to enhance the signal quality and improve trading accuracy.
Features:
Market Analysis: The script utilizes advanced machine learning methods such as Lorentzian, Euclidean distance, and Cosine similarity to analyse market conditions. These techniques measure the similarity and distance between data points, enabling more precise signal identification and enhancing trading decisions.
Cosine similarity:
Cosine similarity is a measure used to determine the similarity between two vectors, typically in a high-dimensional space. It calculates the cosine of the angle between the vectors, indicating the degree of similarity or dissimilarity.
In the context of trading or signal processing, cosine similarity can be employed to compare the similarity between different data points or signals. The vectors in this case represent the numerical representations of the data points or signals.
Cosine similarity ranges from -1 to 1, with 1 indicating perfect similarity, 0 indicating no similarity, and -1 indicating perfect dissimilarity. A higher cosine similarity value suggests a closer match between the vectors, implying that the signals or data points share similar characteristics.
Lorentzian Classification:
Lorentzian classification is a machine learning algorithm used for classification tasks. It is based on the Lorentzian distance metric, which measures the similarity or dissimilarity between two data points. The Lorentzian distance takes into account the shape of the data distribution and can handle outliers better than other distance metrics.
Euclidean Distance:
Euclidean distance is a distance metric widely used in mathematics and machine learning. It calculates the straight-line distance between two points in Euclidean space. In two-dimensional space, the Euclidean distance between two points (x1, y1) and (x2, y2) is calculated using the formula sqrt((x2 - x1)^2 + (y2 - y1)^2).
Dynamic Time Windows: The script incorporates a dynamic time window function that allows users to define specific time ranges for trading. It checks if the current time falls within the specified window to execute the relevant trading signals.
Custom Moving Averages: The script includes the CPMA, a powerful moving average calculation. Unlike traditional moving averages, the CPMA provides improved support and resistance levels by considering multiple price types and employing a combination of Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs). Its adaptive nature ensures responsiveness to changes in price trends.
Signal Processing Techniques: The script applies signal processing techniques such as Know sure thing, Rational Quadratic, and sigmoid transformation to enhance the quality of the generated signals. These techniques improve the accuracy and reliability of the trading signals, aiding in making well-informed trading decisions.
Trade Statistics and Metrics: The script provides comprehensive trade statistics and metrics, including total wins, losses, win rate, win-loss ratio, and early signal flips. These metrics offer valuable insights into the performance and effectiveness of the trading strategy.
Usage:
Configuring Time Windows: Users can customize the time windows by specifying the start and finish time ranges according to their trading preferences and local market conditions.
Signal Interpretation: The script generates long and short signals based on the analysis, custom moving averages, and signal processing techniques. Users should pay attention to these signals and take appropriate action, such as entering or exiting trades, depending on their trading strategies.
Trade Statistics: The script continuously tracks and updates trade statistics, providing users with a clear overview of their trading performance. These statistics help users assess the effectiveness of the strategy and make informed decisions.
Conclusion:
With its adherence to housing trading rules, advanced machine learning methods, customized moving averages like the CPMA, and signal processing techniques such as Lorentzian, Euclidean distance, Cosine similarity, Know sure thing, Rational Quadratic, and sigmoid transformation, this script offers users a powerful tool for housing market analysis and trading. By leveraging the provided signals, time windows, and trade statistics, users can enhance their trading strategies and improve their overall trading performance.
Disclaimer:
Please note that while this script incorporates established tradingview housing rules, advanced machine learning techniques, customized moving averages, and signal processing techniques, it should be used for informational purposes only. Users are advised to conduct their own analysis and exercise caution when making trading decisions. The script's performance may vary based on market conditions, user settings, and the accuracy of the machine learning methods and signal processing techniques. The trading platform and developers are not responsible for any financial losses incurred while using this script.
By publishing this script on the platform, traders can benefit from its professional presentation, clear instructions, and the utilisation of advanced machine learning techniques, customised moving averages, and signal processing techniques for enhanced trading signals and accuracy.
I extend my gratitude to TradingView, LUX ALGO, and JDEHORTY for their invaluable contributions to the trading community. Their innovative scripts, meticulous coding patterns, and insightful ideas have profoundly enriched traders' strategies, including my own.
EMA ProHi Traders!
This Improved EMA Cross Pro Indicator does a few things that Ease Up Our Charting.
Personally it Saved me Tons of Time searching for structure highs / lows, measuring ranges and distances from my entry to stop or take profit.
It's like having most of your trade in front of you, charted for you.
Works Across Assets & Time Frames.
The Functions
1. Signals EMA Crosses - green for Bull Cross & Red for Bear Cross
2. Signals Touches to the 55 EMA
a. In a Bull Cross it will only signal touches and closes Above the 55
b. In a Bear Cross it will only signal touches and closes Under the 55
3. Plots Current Horizontals:
a. The current position of the 55
b. The last High & Low
4. Calculation:
a. % from the 55 to the High & Low
b. Risk / Reward Ratio ("Bad Risk Management" message appears if ratio is not favorable)
c. Over Range between the Low and the High
5. Labels - Current prices for all horizontals marked as Entry, Exit & Stop
Notes:
* This Indicator is Interchanging between bull and bear crosses, it recognizes the trend and adapts its high and low output.
* You Can and Should make your personal changes. everything can be changed in the settings inputs.
* You can Turn On & Off most functions in the settings inputs.
BYBIT:BTCUSDT.P
EMA orderly stacked or notThis script plots a green circle on top of the chart when the EMAs are stacked positively, a red circle if they are stacked negatively and gray if neither positively nor negatively stacked.
The EMAs used are:
8 EMA
21 EMA
34 EMA
55 EMA
89 EMA
Useful when you look for a quick and easy way to see if these EMAs are stacked positively or negatively as a confirmation to the Squeeze Pro indicator if going long or short (Squeeze Pro is developed by John Carter at SimplerTrading.com and can be purchased there).
Default 100 bars back, but that can be adjusted.
Remember to do your own research.
Feel free to adjust the script to your liking.
The script is not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by me.
Have fun!
