Sessioned EMA - Frozen EMA in post market hoursWhy I develop this indicator?
In future indices, post market data with little volume distort the moving average seriously. This indicator is to eliminate the distortion of data during low volume post market hours.
How to use?
There is a time session setting in the indicator, you can set the cash hour time, moving average outside the session will be frozen.
What this indicator gives you
This indicator give you a more make sense ema pattern, the ema lines are more respected by the prices when you set the session properly.
Setup
1. Session setting
In US indices, such as NQ, ES etc, when there was data release at 0830 hr, huge volume transaction order appears, that makes the 0830 price data important that should be included in your ema trend line calculating. If that is the case, I will set the session begin from 0830, otherwise, I start the session at 0930. Golden rule : Price with huge volume counts.
2. Time zone
The coding is decided for GMT+8 time zone, you may amend the code to fit your timezone.
Movingaveragecrossover
twisted SMA strategy [4h] Hello
I would like to introduce a very simple strategy that uses a combination of 3 simple moving averages ( SMA 4 , SMA 9 , SMA 18 )
this is a classic combination showing the most probable trend directions
Crosses were marked on the basis of the color of the candles (bulish cross - blue / bearish cross - maroon)
ma 100 was used to determine the main trend, which is one of the most popular 4-hour candles
We define main trend while price crosses SMA100 ( for bullish trend I use green candle color )
The long position strategy was created in combination of 3 moving averages with Kaufman's adaptive moving average by alexgrover
The strategy is very accurate and is easy to use indicators
the strategy uses only Buy (Long) signals in a combination of crossovers of the SMA 4, SMA 9, SMA 18 and the Kaufman Adaptive Moving Average.
As a signal to close a long position, only the opposite signal of the intersection of 3 different moving averages is used
the current strategy is recommended for higher time zones (4h +) due to the strength of the closing candles, which translates into signal strength
works fascinatingly well for long-term bullish market assets (for example 4h Apple, Tesla charts)
Enjoy and trade safe ;)
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!
Moving Average CandlesInspired by Ricardo Santos's " Multiple Moving Average Candle System V0" ()
This script plots 6 moving averages using the plotcandle function rather than the normal plot function. Result is a stylish indicator that shows moving average crossovers in a more visual way. Moving average type options available are , or Simple, Exponential, Hull, Relative, Volume Weighted, and Arnaud Legoux Moving Averages, Linear Regression Curve, and Median. Lengths for each can be set in settings along with selection specific parameters. Good for plotting/visualizing potential entry/exit points based on your preferred moving averages crossing over, or just as some eye candy.
Plot background depending on Index EMA 10 and EMA 20This indicator gives the user an easy way to check the conditions of the market.
Up market should be good for breakout traders.
Down market should be good for breakdown shortsellers
The others should be good for pullback buyers.
This script automaticlly check which index should be used for the depending on which ticker is view. If no match is found indicator will use IXIC as reference.
The script works for Nordic and US stocks.
"OMXSPI"
"OBX"
"OMXSPI"
"OMXHPI"
"OMXCPI"
"IXIC"
It then alculated the EMA10 and EMA20 for the index and plots the background depending on 6 differnet conditions.
EMA10 below EMA20 and EMA10 and EMA20 is sloping down. //Down market
EMA10 above EMA20 and EMA10 and EMA20 is sloping up. //Up market
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping down. //First indication by market to move up
EMA10 above EMA20 and EMA10 sloping down and EMA20 is sloping up. //First indication by market to move down
EMA10 below EMA20 and EMA10 sloping up and EMA20 is sloping up. //Possible MA cross over
EMA10 below EMA20 and EMA10 sloping down and EMA20 is sloping down. //Possible MA cross over
MTF MAs and Crosses Nexus [DarkWaveAlgo]🧾 Description:
A nexus is a connection, link, or neuronal junction where signals and information are transmitted between different elements.
The MTF MAs and Crosses Nexus indicator serves as a nexus between MTF Moving Averages by facilitating the visualization and interaction of up to eight multi-timeframe moving averages, each with its own customizable timeframe, period, cross-over and cross-under alerts and plot markers, moving average calculation type, and price source.
It acts as a utility/control center that brings together multiple MTF moving averages (MTF MAs) and allows you to visualize the interactions between them with exceptional ease-of-use and customizability, helping to provide you with valuable insights into potential trend reversals, momentum shifts, and trading opportunities.
💡 Originality and Usefulness:
While there are other multi-timeframe moving average indicators available, MTF MAs and Crosses Nexus' customizable alert and signal settings offer intra-indicator MTF moving average cross markers and alerts not seen in other MTF MA indicators, allowing you to visualize the cross-over and cross-under relationships between the indicator's MAs with an 'all-in-one' experience. We also believe it stands above the rest with its sheer quantity and quality of settings, features, and usability.
✔️ Re-Published to Avoid Misleading Values
This script has been re-published to ensure that it does not use `request.security()` calls using lookahead_on to access future data when referencing moving averages from other timeframes. This decreases the likelihood that the indicator will provide deceiving values. This change has been made in accordance with the PineScript documentation: "Using barmerge.lookahead_on at timeframes higher than the chart's without offsetting the `expression` argument like in `close ` will introduce future leak in scripts, as the function will then return the `close` price before it is actually known in the current context" and the Publishing Rule: "Do not use `request.security()` calls using lookahead to access future data".
💠 Features:
8 toggleable MTF Moving Averages with customizable timeframes, periods, moving average calculation types, and price sources
Customizable cross-over and cross-under alert and chart signal options for each MTF MA (toggleable cross alerts and signals for crosses between intra-indicator MAs and bar price values)
Aesthetic and flexible coloring and color theme styling options
End-of chart labels and options for ease-of-use and legibility
⚙️ Settings:
Use a Color Theme: When this setting is enabled, all manual 'Bullish and Bearish Colors' are overridden. All plots will use the colors from your selected Color Theme - excepting those plots set to use the 'Single Color' coloring method.
Color Theme: When 'Use a Color Theme' is enabled, this setting allows you to select the color theme you wish to use.
Hide MAs on Timeframes Lower Than the Chart: When this setting is enabled, any MTF MA with a timeframe smaller than that of the chart the indicator is applied to will be hidden from view.
Enable: Show/hide a specific MTF MA.
Timeframe: Set the timeframe for a specific MTF MA.
Period: Set the lookback period for a specific MTF MA.
Type: Set the calculation type for a specific MTF MA. Options include: Exponential, Simple, Weighted, Volume-Weighted, and Hull.
Source Price: Set the source value used for a specific MTF MA's calculation.
Enable Cross Over Signals & Alerts: When enabled, cross-over chart signals (markers) and alerts are enabled for when this specific MTF MA crosses above its respective 'Cross Over Cross Source'.
Enable Cross Under Signals & Alerts: When enabled, cross-under chart signals (markers) and alerts are enabled for when this specific MTF MA crosses below its respective 'Cross Under Cross Source'.
Cross Source: Set the target plot which this specific MTF MA must cross (for either a cross-over or cross-under event) to trigger a chart signal and alert.
Marker Position: Set the position where this specific MTF MA's cross chart signal should appear. Options include: Above Bar, Below Bar, and On MA Line.
Coloring Method: Set the coloring method for this specific MA. The coloring method defines how the MA should be dynamically colored. Options include: Single Color, Increasing/Decreasing, and Over/Under Price.
Bullish Color: When 'Use a Color Theme' is disabled, this will set the 'bullish color' for this specific MTF MA.
Bearish Color: When 'Use a Color Theme' is disabled, this will set the 'bearish color' for this specific MTF MA.
Single Color: When the 'Coloring Method' is set to Single Color for this specific MA, this color option will set the MA's color.
Enable Label: When enabled, a label will show at the end of the chart displaying the timeframe, period, MA type, and current price value of this specific MTF MA.
Size: Sets the font size of this specific MTF MA's label.
Label Offset (in Bars): Sets the distance from the latest bar, in bars, at which this specific MTF MA's label is displayed.
Show Label Line: When enabled, this specific MTF MA's label will be accommodated by a dashed line connecting it to its plot.
📈 Chart:
The chart shown in this original publication displays the 15 minute chart on BTCUSDT. Displayed on the chart are 4 MTF MAs: the 15m 20 WMA, 30m 100 EMA, 1h 11 EMA, and 1D 7 VWMA - offering an exemplary view of how you can use these MTF MAs and crosses to your advantage in gauging trend relationships across multiple timeframes.
Super Secret 200 EMAThe indicator is called "Super Secret 200 EMA." It combines two technical indicators, the Supertrend and the 200 Exponential Moving Average (EMA), to generate buy and sell opportunities in a trading chart.
Here's how the indicator works and how you can use it:
Supertrend Calculation:
The Supertrend indicator helps identify the current trend in the market. It uses two parameters: Length and Multiplier.
Length: This parameter determines the number of periods used for the calculation.
Multiplier: It controls the width of the Supertrend line, indicating the level of volatility considered in the calculation.
The Supertrend is calculated by looping through the historical data from length to 1.
For each period, it checks whether the closing price has increased or decreased compared to the previous period.
If the closing price has increased, it updates the highestHigh value with the maximum of the current highest high and the high of the current period.
If the closing price has decreased, it updates the lowestLow value with the minimum of the current lowest low and the low of the current period.
Finally, it calculates the Supertrend value using the following formula:
If the change in the closing price is positive: Supertrend = lowestLow + (multiplier * Average True Range (ATR))
If the change in the closing price is negative: Supertrend = highestHigh - (multiplier * ATR)
The Supertrend line will be green if it is above the 200 EMA line and red if it is below.
200 EMA Calculation:
The 200 EMA is a widely used moving average indicator that gives more weight to recent prices.
The EMA period is set to 200 in this case.
The 200 EMA is calculated using the EMA formula, taking into account the closing prices over the specified period.
Plotting:
The Supertrend and 200 EMA lines are plotted on the chart using the plot function.
The Supertrend line is colored green if it is above the 200 EMA line and red if it is below.
The 200 EMA line is colored green if the closing price is above it and red if it is below.
Buy and Sell Conditions:
The indicator determines the buy and sell conditions based on the crossover and crossunder of the closing price with the 200 EMA line and the Supertrend line.
Buy Condition: A buy signal is generated when the closing price crosses above the 200 EMA line and is also above the Supertrend line.
Sell Condition: A sell signal is generated when the closing price crosses below the 200 EMA line and is also below the Supertrend line.
Plotting Buy and Sell Signals:
You can use this indicator to identify potential buy and sell opportunities in your trading strategy. However, please note that this is a simplified explanation, and it's essential to thoroughly understand the indicator's principles and backtest it with historical data before relying on it for actual trading decisions.
Use this with other confluences for best results and never rely on a single indicator
RAM StrategyThe name RAM originated because of three popular technical indicators Relative Strength Index (RSI), Average True Range (ATR), and Moving average convergence/divergence were used all together to create three conditions individually first and once all three conditions meet at once then we considered a potential opportunity either for buy or sell and produce signals. Before we dive into how the strategy work let's clarify all the 3 indicators which has been used.
RSI (Relative Strength Index):
The RSI is a popular indicator used to assess the overbought and oversold conditions of a financial instrument. It measures the speed and change of price movements.
Overbought Level: The RSI Overbought Level is set to 65, indicating that when the RSI goes above this level, it suggests that the instrument may be overbought or overvalued.
Oversold Level: The RSI Oversold Level is set to 35, indicating that when the RSI goes below this level, it suggests that the instrument may be oversold or undervalued.
ATR (Average True Range):
The ATR is a volatility indicator that measures the average range between the high and low prices of a financial instrument. It provides insight into market volatility. There is an ATR calculation and ATR Simple Moving Average calculation done in the script which provides insights into market volatility. By comparing the current ATR value to its SMA, this indicator takes into consideration the volatility conditions while generating trading signals, aiming to capture potential price movements during periods of increased volatility.
MACD (Moving Average Convergence Divergence):
The MACD is a trend-following momentum indicator that helps identify potential trend reversals. It consists of two lines: the MACD Line and the Signal Line.
MACD Line: The MACD Line represents the difference between the short-term and long-term moving averages. Crossovers of the MACD Line above the Signal Line indicate potential buying opportunities.
Signal Line: The Signal Line is a moving average of the MACD Line. Crossovers of the MACD Line below the Signal Line indicate potential selling opportunities and crossovers of the MACD line above the signal line indicate potential buying opportunities.
Trading Strategy:
Buy Signal: A buy signal is generated when the RSI is below the oversold level, the ATR is higher than its Simple Moving Average (indicating higher volatility), and there is a bullish crossover of the MACD Line above the Signal Line.
Sell Signal: A sell signal is generated when the RSI is above the overbought level, the ATR is higher than its Simple Moving Average (indicating higher volatility), and there is a bearish crossover of the MACD Line below the Signal Line.
The plot shapes function is used to visually represent the buy and sell signals on the price chart. Green "BUY" labels are displayed below the price bars for buy signals, while red "SELL" labels are displayed above the price bars for sell signals.
This strategy aims to identify potential buying and selling opportunities based on the combination of RSI, ATR, and MACD indicators. However, please note that the effectiveness and profitability of the strategy may vary depending on market conditions and individual trading preferences.
*Disclaimer*
Trading involves risk. Also, clarify that past performance is not indicative of future results and that individuals should only trade with the capital they can afford to lose.
Moving Average Reversals [QuantVue]Moving Average Reversals
Description:
The Moving Average Reversals indicator gives a quick visual representation of when a stock gets extended up or down from a user selected moving average.
The color of the histogram dynamically changes as price becomes extended or within it’s normal trading range.
The indicator also highlights the largest extensions over the past year or 252 bars if using intraday.
Lastly a simple moving average of the extensions is calculated and used to confirm a change of character.
Settings:
🔹Use different MA types - EMA, SMA, HMA, WMA, VWMA
🔹Adjustable MA length
🔹Change distance measurement source - open, close, high, low, hl2, hlc3, ohlc4, hlcc4
🔹Extension highlighting
🔹Toggle MA extensions
Don't hesitate to reach out with any questions or concerns. We hope you enjoy!
Cheers.
Fetch ATR + MA StrategyA trend following indicator that allows traders/investors to enter trades for the long term, as it is mainly tested on the daily chart. The indicator fires off buy and sell signals. The sell signals can be turned off as trader can decide to use this indicator for long term buy signals. The buy signals are indicated by the green diamonds, and the red diamonds show the points on then chart where the asset can be sold.
The indicator uses a couple indicators in order to generate the buy signals:
- ADX
- ATR
- Moving Average of ATR
- 50 SMA
- 200 SMA
The buy signal is generated at the cross overs of the 50 and 200 SMA's while the ATR is lower than then Moving Average of the ATR. The buy signal is fired when these conditions are met and if the ADX is lower than 30.
The thought process is as follows:
When the ATR is lower than its moving average, the price should be in a low volatilty environment. An ADX between 25 and 50 signals a Strong trend. Every value below 25 is an absent or weak trend. So entering a trade when the volatilty is still low but increasing, you'll be entering a trade at the start of a new uptrend. This mechanism also filters out lots of false signals of the simple cross overs.
The sell signals are fired every time the 50 SMA drops below the 200 SMA.
Rainbow Collection - VioletMoving averages come in all shapes and types. The most basic type is the simple moving average which is simply the sum divided by the quantity. Therefore, the simple moving average is the sum of the values divided by their number.
In technical analysis, you generally use moving averages to understand the underlying trend and to find trading signals. In the case of the Violet indicator, we are using a Hull moving average which is a special variation based on different weights to minimize lag.
The Violet indicator is therefore used as follows:
* A bullish signal is generated whenever the close price surpasses the 20-period Hull moving average while the previous close prices from periods were all below their respective Hull moving average of the period.
*A bearish signal is generated whenever the close price breaks the 20-period Hull moving average while the previous close prices from periods were all above their respective Hull moving average of the period.
The aim of the Violet indicator is to capture reversals as early as possible through a combination of lagged conditions based on the Fibonacci sequence.
RedK K-MACD : a MACD with some more musclesMoving Averages are probably the most commonly used analysis tools, and MACD is possibly the first charting indicator a trader gets to learn about.
MACD Basic concept
----------------------------
Without repeating all the tons of documentation about what MACD does, let's quickly re-visit the MACD concept from a 10-mile altitude (note we're keen on simplifying here rather than being technically accurate - so please forgive the use of any "common lingos")
- MACD goal is to represent the distance between 2 Moving Averages (MAs) - one fast and one slow, relatively - as an unrestricted zero-based oscillator.
- The value of the main MACD line is the distance, or the displacement between the 2 MA's
- usually a signal line is used (which is another MA of that distance value) to enable better visualization of the change (and rate of change, since this is all depicted on a time axis) of that displacement - this represents price momentum (price movement in the recent period versus movements for a relatively longer period).
- the difference between the main MACD line and its signal is then represented as a histogram above and below the zero line. in this case, that histogram is really redundant, since it shows a value that is already represented visually by the main line and its signal line.
How K-MACD is different
---------------------------------
K-MACD takes that simple concept of the classic MACD and expands around it - the idea is to use the same simple approach to representing price momentum while bringing in more insight to price moves in the short, medium and long terms, ability to represent more than 2 MA's and to enable better identification of tradeable patterns (like Volatility Contraction and others) - while still keeping things simple and visually clean.
K-MACD is an indicator that allows us to view how price moves against 3 moving averages: a fast / slow pair, and a "market" Filter or Baseline (very long) that will be used as a flag for Bear/Bull market mode. Many traders and trading literature use the 200 day (40 week) SMA as that key filter
so in total, there are 4 MA lines in K-MACD (excluding the "orange" signal line):
* Price Proxy: Which is a very fast moving average that will represent the price itself - let's use a WMA(3) or something close to that here - there will be a signal line to enable better visualization of this similar to a classic MACD - that's the orange line
* Fast & Slow MA's : Use whatever represents the "medium term" momentum for your trading - Some traders use 20 and 50, others use 10 and 20 .. if on your price chart, you keep using a pair of MA's for this, use the same settings in K-MACD - these will be represented by the 3-color Momentum Bars that fluctuate above and below the baseline
* Filter/Baseline MA: Should be your long (Bullish/Bearish Mode) MA. so 100 or 200 or any other value you consider your market to be bearish below and bullish above. on K-MACD this is actually the blue zero line - everything else is "relative" to it
Review the sample chart which explains various elements and the "price chart" setup that K-MACD represents. With K-MACD you can clean up your chart from those various Moving Averages - or use a different set than the ones you already have K-MACD represent - or other indicators (like ATR channels..etc)
Other "muscles" in the K-MACD
---------------------------------------------
- Relative vs Classic Calculation Mode
A key issue with the classic MACD is that the displacement between the 2 moving averages is represented as "absolute or direct" values - as the price of the underlying increases with time, you can't really use these values to make useful comparison between the past and now (see below example) - also you can't use them to compare 2 different instruments.
- The "Relative" calculation option in K-MACD addresses that issue by relating all "distances" to the Baseline MA as percentage (above or below) - you can see this clear when you look at the above chart the far left versus the far right and compare K-MACD with the classic MACD - the Classic option is still available
- More MA "type" options for all MA lines: choose between SMA, EMA, WMA, and RSS_WMA (which i use a lot in my trading and is my default for the Price Proxy)
- More Alerts: a total or 9 alerts (in 3 groups) are available with K-MACD (Momentum above or below baseline, Price Proxy crossing signal line, and Price Proxy crossing baseline)
- New 52 week High / Low markers: These will show as Green/red circles on the zero line in K-MACD. this will only work for 1D timeframe and above, i'm just using a simple approach and would like to keep it that way.
- i know i added some more features not covered above :) -- if you have questions about any of the settings, feel free to ask below
Closing thoughts
-------------------------
K-MACD is a combination of couple of indicators i published in the past (xMACD and Mo_Bars) - so you can go back and read about them if needed - I then added improvements to accommodate ideas from swing trading literature and common practices that i plan to focus on in future. So K-MACD is really part of my own trading setup.
I assume here that most traders are familiar with what a MACD is - so kept this post short - if you thing we should expand more about the concepts covered here let me know in the comments - i can make some separate posts with examples and more details.
I hope many fellow traders find this work useful - and feel free let me know in comments below if you do.
Volatility-Weighted Moving Average SystemThis simple script creates a moving average system weighted by volatility. The moving averages are less sensitive to price action than the typical moving averages we use, and their crossovers can be used to identify extended trends.
I've colored the background depending on trend. Ideally in the future, I'll draw long or short signals on-chart depending on the width between the bands, which works as a faster indicator of trend-change than crossover does.
Hope you all enjoy. Happy holidays.
Democratic Fibonacci Moving AveragesWith this indicator, we have taken moving averages at Fibonacci lengths (3 to 233) as well as the average of these values, labeled the DFMA. Additionally, these values have been inputted into a table overlay. The cross of the FibMA(233) and the DFMA can be used as a signal for long or short.
The FibMA lengths of 3 and 233 are plotted in white by default, the FibMAs with lengths between 3 and 233 are plotted in blue by default, and the democratic line (DFMA) that averages these lines is plotted in green or red (depending on if the value is above or below the 233-length FibMA).
VWMA/SMA 3Commas BotThis strategy utilizes two pairs of different Moving Averages, two Volume-Weighted Moving Averages (VWMA) and two Simple Moving Averages (SMA).
There is a FAST and SLOW version of each VWMA and SMA.
The concept behind this strategy is that volume is not taken into account when calculating a Simple Moving Average.
Simple Moving Averages are often used to determine the dominant direction of price movement and to help a trader look past any short-term volatility or 'noise' from price movement, and instead determine the OVERALL direction of price movement so that one can trade in that direction (trend-following) or look for opportunities to trade AGAINST that direction (fading).
By comparing the different movements of a Volume-Weighted Moving Average against a Simple Moving Average of the same length, a trader can get a better picture of what price movements are actually significant, helping to reduce false signals that might occur from only using Simple Moving Averages.
The practical applications of this strategy are identifying dominant directional trends. These can be found when the Volume Weighted Moving Average is moving in the same direction as the Simple Moving Average, and ideally, tracking above it.
This would indicate that there is sufficient volume supporting an uptrend or downtrend, and thus gives traders additional confirmation to potentially look for a trade in that direction.
One can initially look for the Fast VWMA to track above the Fast SMA as your initial sign of bullish confirmation (reversed for downtrending markets). Then, when the Fast VWMA crosses over the Slow SMA, one can determine additional trend strength. Finally, when the Slow VWMA crosses over the Slow SMA, one can determine that the trend is truly strong.
Traders can choose to look for trade entries at either of those triggers, depending on risk tolerance and risk appetite.
Furthermore, this strategy can be used to identify divergence or weakness in trending movements. This is very helpful for identifying potential areas to exit one's trade or even look for counter-trend trades (reversals).
These moments occur when the Volume-Weighted Moving Average, either fast or slow, begins to trade in the opposite direction as their Simple Moving Average counterpart.
For instance, if price has been trending upwards for awhile, and the Fast VWMA begins to trade underneath the Fast SMA, this is an indication that volume is beginning to falter. Uptrends need appropriate volume to continue moving with momentum, so when we see volume begin to falter, it can be a potential sign of an upcoming reversal in trend.
Depending on how quickly one wants to enter into a movement, one could look for crosses of the Fast VWMA under/over the Fast SMA, crosses of the Fast VWMA over/under the Slow SMA, or crosses over/under of the Slow VWMA and the Slow SMA.
This concept was originally published here on TradingView by ProfitProgrammers.
Here is a link to his original indicator script:
I have added onto this concept by:
converting the original indicator into a strategy tester for backtesting
adding the ability to conveniently test long or short strategies, or both
adding the ability to calculate dynamic position sizes
adding the ability to calculate dynamic stop losses and take profit levels using the Average True Range
adding the ability to exit trades based on overbought/oversold crosses of the Stochastic RSI
conveniently switch between different thresholds or speeds of the Moving Average crosses to test different strategies on different asset classes
easily hook this strategy up to 3Commas for automation via their DCA bot feature
Full credit to ProfitProgrammers for the original concept and idea.
Any feedback or suggestions are greatly appreciated.
Munich GuppyWELCOME to the Munich Guppy!
This is a simple moving average indicator that will help you determine the trend of your chart using historical moving averages.
The indicator consists of 3 EMA's and one ALMA moving average. Using these 4 moving averages I have programmed the relationship between the moving averages to color the background of your chart.
If your background is red, this means that the alma moving average has fallen below the EMA's (EMA1 and EMA 2) as well as (EMA 1 and EMA 2) are postured in a down trending/up trending fashion
For example, the 21EMA is greater than the 55EMA, this signals that the chart has been outperforming its intermediate averages. Now if the ALMA is below both the 21ema and 55ema, in this instance, your chart background will become green.
The ALMA has color options '+CoC' and '-Coc', this simply means if the candle closes below the alma, it will turn red, if closure above it will turn green.
EMA 3 which is default set to 200, has no affect on the color of the background.
Now I hope I have thoroughly explained the simplicity of this indicator, if you have any questions leave them below or private message me for any other requests,
Good Trading!
-CheatCode1
MA Cross ScreenerThis script lets you pick 20 symbols to check for ma crosses. The way it works is it scans all 20 of your symbols for moving average crosses and then it sends an both a regular alert and a visual alert inside of the indicator. I found that ma cross strategies are very popular right now so I thought it would be nice to have one indicator instead of 20 discord servers. The features include: 20 custom symbols, alerts, custom colors, ma select, and custom time frames. If you want to use the custom time frame option, use the lowest time frame possible. That way you wont have gaps. If you have any comments please voice them, that includes suggestions!
I hope you all find this useful!
The Godfather
This indicator uses a custom MA as well as RSI bar-flips, as a form of pivot point, to signal the direction of the trend.
The triangle markers on the chart are the RSI flipping from negative to positive, and vice versa.
The lighter shaded candles are up candles, the darker shaded candles are down candles.
Ultimate Moving Average Strategy CreatorHave you ever wanted to create your OWN strategy, but don't have coding experience? Well now you can.
With simple settings, but millions of potential strategies and combinations, this indicator / strategy lets YOU make ALL the rules.
Start by choosing up to 4 moving averages from all the various types - Simple, Exponential, Hull, Volume-Weighted, etc. Choose the period and choose price source.
Now the fun part.
You select your values to compare and how to compare them. Want to test if the Fast Moving Average crosses over the Slow Moving Average? No problem. Want to add an additional test to check the closing price is greater than the Fast Moving Average? Done.
With additonal options to set take profit % and stop loss %, as well as a date range and the option for 'Long Only' positions, you can instantly see the results of any strategy in the strategy tester, then simply make an adjustment and refine the criteria without having to know or understand any of the complex coding and scripting.
I have tried many popular moving average strategies, but irrespective of the results, the thing that stood out to me was how inflexible they were. If it was designed to test a triple crossover, that's all it could do. With this indicator, literally anything is possible and modifying the parameters couldn't be easier.
Dynamically Adjusting EMA Crossing
The Exponential Moving Average is the most commonly used indicator in every market. but no one can predict which pair of exponential moving average crossing will work best together. Every instrument require different EMAs crossing. It can be 2 EMA crossings or 3 EMA crossings.
Dynamically Adjusting EMA crossing tries to solve this issue. Algorithm finds the optimal EMA crossing setting for every instrument across all timeframes based on the EMA lengths provided in the settings. It evaluates the most profitable crossing combination for each instrument. The logic backtests the different combinations of EMA crossing based on the EMA lengths provided in the indicator's settings.
There are 3 EMA options in the settings Fact, Slow and Long. Indicator's Settings have the option to choose 2 EMA crossings or 3 EMA crossings.
Default Settings
Fast : 5 to 10
Slow : 13 to 19
Long : 20 to 60
Please do keep in mind that the performance of the indicator reduces as we increase the default settings range.
Please contact me for access
Trend ExplosionThis script features a combination of trend indicators. Upon backtesting various indicators and how price action reacts to past signals, I discovered that using a combination of conditions would allow for a simple, easy-to-use, yet (in my opinion) accurate representation of current market sentiment. I typically use this on the 5/15 minute charts as I reference higher timeframe conditions. If you would like to trade the 1 hour and above timeframes, you would have to manually adjust the timeframe you want under "Resolution". Another thing to note is that this script provides a REFERENCE for trends. It does not provide entry and exit signals and you would have to discretionarily determine those yourself.
Long sentiment = Green triangles below the bar
Short sentiment = Fuchsia triangles above the bar
Due to a large amount of effort and time taken into creating this script, I have decided to protect the source code. If you do have any suggestions, you can feel free to drop me a DM.
MA Simple Strategy with SL & TP & ATR FiltersHello Guys! Nice to meet you all!
This is my second script!
This Logic is trend following logic, This detects long & short trends by comparing the value of MAs.
This fits to the longer time frame.
### Long Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 > MA 2 > MA 3 > MA 4, then Enter Long Position
- ‘The arrangement of MAs in descending orders’ is the proxy of the long trend.
### Short Condition
1. Compare 4 MAs (you can chose MA Type)
- Shortest MA (MA 1)
- Shorter MA (MA 2)
- Normal MA (MA 3)
- Longer MA (MA 4)
2. If MA 1 < MA 2 < MA 3 < MA 4, then Enter Short Position
- ‘The arrangement of MAs in ascending orders’ is the proxy of the short trend.
### Close Condition
1. When trend Changes
- When (MA 1 > MA 2 > MA 3 > MA 4) breaks or (MA 1 < MA 2 < MA 3 < MA 4) breaks.
2. When the price hits the stoploss
3. When the price hits the take profit level (basically 50% of qty will be closed)
### Etc
1. Trend filter (ATR should be bigger than SMA of ATR)
- If the volatility of price is to small (ATR), then there could be false signal. To filter this out, I used the condition ‘ATR should be larger than SMA of ATR’.
2. Stoploss
- Enabled Stoploss based on ATR, Percent, Risk-Reward Ratio,
- Enabled Trailing Stoploss.
3. Choose MA Type
- You can choose MA Type
+ Thanks for the stoploss template @jason5480
RSI with Slow and Fast MA Crossing Strategy (by Coinrule)This strategy utilises 3 different conditions that have to be met to buy and 1 condition to sell. This strategy works best on the ETH/USDT pair on the 4-hour timescale.
In order for the strategy to enter the trade, it must meet all of the conditions listed below:
ENTRY
RSI increases by 5
RSI is lower than 70
MA9 crosses above MA50
To exit a trade, the below condition must be met:
EXIT
MA50 crosses above MA9
This strategy works well on LINK/USDT on the 1-day timeframe, MIOTA/USDT on the 2-hour timeframe, BTC/USDT on the 4-hour timeframe, and BEST/USDT on the 1-day timeframe (and 4h).
Back-tested from 1 January 2020.
The strategy assumes each order is using 30% of the available coins to make the results more realistic and to simulate you only ran this strategy on 30% of your holdings. A trading fee of 0.1% is also taken into account and is aligned to the base fee applied on Binance.
