MACDh with divergences & impulse system (overlayed on prices)-----------------------------------------------------------------
General Description:
This indicator ( the one on the top panel above ) consists on some lines, arrows and labels drawn over the price bars/candles indicating the detection of regular divergences between price and the classic MACD histogram (shown on the low panel). This script is special because it can be adjusted to fit several criteria when trading divergences filtering them according to the "height" and "width" of the patterns. The script also includes the "extra features" Impulse System and Keltner Channels, which you will hardly find anywhere else in similar classic MACD histogram divergence indicators.
The indicator helps to find trend reversals, and it works on any market, any instrument, any timeframe, and any market condition (except against really strong trends that do not show any other sign of reversion yet).
Please take on consideration that divergences should be taken with caution.
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Definition of classic Bullish and Bearish divergences:
* Bearish divergences occur in uptrends identifying market tops. A classical or regular bearish divergence occurs when prices reach a new high and then pull back, with an oscillator (MACD histogram in this case) dropping below its zero line. Prices stabilize and rally to a higher high, but the oscillator reaches a lower peak than it did on a previous rally.
In the chart above (weekly charts of NKE, Nike, Inc.), in area X (around August 2021), NKE rallied to a new bull market high and MACD-Histogram rallied with it, rising above its previous peak and showing that bulls were extremely strong. In area Y, MACD-H fell below its centerline and at the same time prices punched below the zone between the two moving averages. In area Z, NKE rallied to a new bull market high, but the rally of MACD-H was feeble, reflecting the bulls’ weakness. Its downtick from peak Z completed a bearish divergence, giving a strong sell signal and auguring a nasty bear market.
* Bullish divergences , in the other hand, occur towards the ends of downtrends identifying market bottoms. A classical (also called regular) bullish divergence occurs when prices and an oscillator (MACD histogram in this case) both fall to a new low, rally, with the oscillator rising above its zero line, then both fall again. This time, prices drop to a lower low, but the oscillator traces a higher bottom than during its previous decline.
In the example in the chart above (weekly charts of NKE, Nike, Inc.), you see a bearish divergence that signaled the October 2022 bear market bottom, giving a strong buy signal right near the lows. In area A, NKE (weekly charts) appeared in a free fall. The record low A of MACD-H indicated that bears were extremely strong. In area B, MACD-H rallied above its centerline. Notice the brief rally of prices at that moment. In area C, NKE slid to a new bear market low, but MACD-H traced a much more shallow low. Its uptick completed a bullish divergence, giving a strong buy signal.
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Some cool features included in this indicator:
1. This indicator also includes the “ Impulse System ”. The Impulse System is based on two indicators, a 13-day exponential moving average and the MACD-Histogram, and identifies inflection points where a trend speeds up or slows down. The moving average identifies the trend, while the MACD-Histogram measures momentum. This unique indicator combination is color coded into the price bars for easy reference.
Calculation:
Green Price Bar: (13-period EMA > previous 13-period EMA) and
(MACD-Histogram > previous period's MACD-Histogram)
Red Price Bar: (13-period EMA < previous 13-period EMA) and
(MACD-Histogram < previous period's MACD-Histogram)
Price bars are colored blue when conditions for a Red Price Bar or Green Price Bar are not met. The MACD-Histogram is based on MACD(12,26,9).
The Impulse System works more like a censorship system. Green price bars show that the bulls are in control of both trend and momentum as both the 13-day EMA and MACD-Histogram are rising (you don't have permission to sell). A red price bar indicates that the bears have taken control because the 13-day EMA and MACD Histogram are falling (you don't have permission to buy). A blue price bar indicates mixed technical signals, with neither buying nor selling pressure predominating (either both buying or selling are permitted).
2. Another "extra feature" included here is the " Keltner Channels ". Keltner Channels are volatility-based envelopes set above and below an exponential moving average.
3. It were also included a couple of EMAs.
Everything can be removed from the chart any time.
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Options/adjustments for this indicator:
*Horizontal Distance (width) between two tops/bottoms criteria.
Refers to the horizontal distance between the MACH histogram peaks involved in the divergence
*Height of tops/bottoms criteria (for Histogram).
Refers to the difference/relation/vertical distance between the MACH HISTOGRAM peaks involved in the divergence: 1st Histogram Peak is X times the 2nd.
*Height/Vertical deviation of tops/bottoms criteria (for Price).
Deviation refers to the difference/relation/vertical distance between the PRICE peaks involved in the divergence.
*Plot Regular Bullish Divergences?.
*Plot Regular Bearish Divergences?.
*Delete Previous Cancelled Divergences?.
*Shows a pair of EMAs.
*Shows Keltner Channels (using ATR)
Keltner Channels are volatility-based envelopes set above and below an exponential moving average.
*This indicator also has the option to show the Impulse System over the price bars/candles.
Cerca negli script per "Exponential Moving Average"
QuantBot 3:Ultimate MA CrossoverTHIS IS A SAMPLE CODE TO AUTOMATE WITH QUANTBOT
The moving average strategy is a popular and widely used technique in financial analysis and trading. It involves the calculation and analysis of moving averages, which are mathematical indicators that smooth out price data over a specified period. This strategy is primarily applied in the context of stock trading, but it can be used for other financial instruments as well.
The concept behind the moving average strategy is to identify trends and potential entry or exit points in the market. By calculating and analyzing moving averages of different timeframes, traders aim to capture the overall direction of the price movement and filter out short-term fluctuations or noise.
To implement the moving average strategy, a trader typically selects two or more moving averages with different periods. The most common combinations include the 50-day and 200-day moving averages. The shorter-term moving average is considered more reactive to price changes, while the longer-term moving average provides a smoother trend line. When the shorter-term moving average crosses above the longer-term moving average, it generates a buy signal, indicating a potential upward trend. Conversely, when the shorter-term moving average crosses below the longer-term moving average, it generates a sell signal, indicating a potential downward trend.
Traders can use various variations of the moving average strategy based on their trading objectives and risk tolerance. For instance, some traders may prefer to use exponential moving averages (EMAs) instead of simple moving averages (SMAs) to give more weight to recent price data. Others may incorporate additional indicators or filters to confirm signals or avoid false signals.
One of the strengths of the moving average strategy is its simplicity and ease of interpretation. It provides a clear visual representation of the trend direction and potential entry or exit points. However, it's important to note that the moving average strategy is a lagging indicator, meaning that it relies on past price data. Therefore, it may not always accurately predict future market movements or capture sudden reversals.
Like any trading strategy, the moving average strategy is not foolproof and carries risks. It is crucial for traders to conduct thorough analysis, consider other relevant factors, and manage their risk through proper position sizing and risk management techniques. Additionally, it's important to adapt the strategy to specific market conditions and combine it with other complementary strategies or indicators for improved decision-making.
Overall, the moving average strategy serves as a valuable tool for traders to identify and follow trends in financial markets, aiding in the analysis of price movements and potential trading opportunities.
EMA and MACD with Trailing Stop Loss (by Coinrule)An exponential moving average ( EMA ) is a type of moving average (MA) that places a greater weight and significance on the most recent data points. The exponential moving average is also referred to as the exponentially weighted moving average. An exponentially weighted moving average reacts more significantly to recent price changes than a simple moving average simple moving average ( SMA ), which applies an equal weight to all observations in the period.
Moving average convergence divergence ( MACD ) is a trend-following momentum indicator that shows the relationship between two moving averages of a security’s price. The MACD is calculated by subtracting the 26-period exponential moving average ( EMA ) from the 12-period EMA.
The result of that calculation is the MACD line. A nine-day EMA of the MACD called the "signal line," is then plotted on top of the MACD line, which can function as a trigger for buy and sell signals. Traders may buy the security when the MACD crosses above its signal line and sell—or short—the security when the MACD crosses below the signal line. Moving average convergence divergence ( MACD ) indicators can be interpreted in several ways, but the more common methods are crossovers, divergences, and rapid rises/falls.
The Strategy enters and closes the trade when the following conditions are met:
LONG
The MACD histogram turns bearish
EMA7 is greater than EMA14
EXIT
Price increases 3% trailing
Price decreases 1% trailing
This strategy is back-tested from 1 January 2022 to simulate how the strategy would work in a bear market and provides good returns.
Pairs that produce very strong results include XRPUSDT on the 1-minute timeframe. This short timeframe means that this strategy opens and closes trades regularly
In order to further improve the strategy, the EMA can be changed from 7 and 14 to, say, EMA20 and EMA50. Furthermore, the trailing stop loss can also be changed to ideally suit the user to match their needs.
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.
Moving Average Directional IndexMADX is ADX-inspired indicator with moving averages that determines strength of a trend, as well as its direction. Indicator works following:
As the value of MADX increases, so does the strength of a trend
If MADX+ ( green line - bullish MADX ) crosses above MADX- ( red line - bearish MADX ) we consider trend as bullish and vice versa..
There will be situations where MADX- and MADX+ cross multiple times in a short period of time -> that will mean that market indecision is happening and big move will most likely happen after it.
For the calculation of MADX+ and MADX- we need Moving Averages or Exponential Moving Averages with three specific sources ( high, close, low ).
Now, the calculation of each MADX will differ
=> for MADX+: Moving Average (high) / Moving Average (close)
=> for MADX-: Moving Average (close) / Moving Average (low)
Length of Moving Average is editable.
3 x EMAExponential Moving Averages
The indicator plots three moving averages.
The settings specify the period for the first moving average.
The period for the second moving average is considered as the period for the first one multiplied by 2.
The period for the third moving average is considered as the period for the first one multiplied by 3.
MA with a short period - green
MA with an average period - blue
MA with a long period - red
Экспоненциальные скользящие средние
Индикатор строит три скользящие средние.
В настройках указывается период для первой скользящей средней.
Период для второй скользящей считается как период для первой умноженной на 2.
Период для третьей скользящей считается как период для первой умноженной на 3.
Скользящая с коротким периодом - зеленая
Скользящая со средним периодом - синяя
Скользящая с длинным периодом - красная
MACD ReLoaded STRATEGYSTRATEGY version of MACD ReLOADED Indicator:
A different approach to Gerald Appel's classical Moving Average Convergence Divergence.
Appel originaly set MACD with exponential moving averages.
In this version users can apply 11 different types of moving averages which they can benefit from their smoothness and vice versa sharpnesses...
Built in Moving Average type defaultly set as VAR but users can choose from 11 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
In shorter time frames backtest results shows us TILL, WWMA, VIDYA (VAR) could be used to overcome whipsaws because they have less numbers of signals.
In longer time frames like daily charts WMA, Volume Weighted MACD V2, and MACDAS and SMA are more accurate according to backtest results.
My interpretation of Buff Dormeier's Volume Weighted MACD V2:
Thomas Aspray's MACD: (MACDAS)
MACD ReLoadedA different approach to Gerald Appel's classical Moving Average Convergence Divergence.
Appel originaly set MACD with exponential moving averages.
In this version users can apply 11 different types of moving averages which they can benefit from their smoothness and vice versa sharpnesses...
Built in Moving Average type defaultly set as VAR but users can choose from 11 different Moving Average types like:
SMA : Simple Moving Average
EMA : Exponential Moving Average
WMA : Weighted Moving Average
DEMA : Double Exponential Moving Average
TMA : Triangular Moving Average
VAR : Variable Index Dynamic Moving Average a.k.a. VIDYA
WWMA : Welles Wilder's Moving Average
ZLEMA : Zero Lag Exponential Moving Average
TSF : True Strength Force
HULL : Hull Moving Average
TILL : Tillson T3 Moving Average
In shorter time frames backtest results shows us TILL, WWMA, VIDYA (VAR) could be used to overcome whipsaws because they have less numbers of signals.
In longer time frames like daily charts WMA, Volume Weighted MACD V2, and MACDAS and SMA are more accurate according to backtest results.
My interpretation of Buff Dormeier's Volume Weighted MACD V2:
Thomas Aspray's MACD: (MACDAS)
[blackcat] L1 Tim Tillson T3Level: 1
Background
T3 Moving Average is the responsive form of traditional moving averages. Presented in 1998 by Tim Tillson, T3 is also known as the Tillson Moving Averages. The thought behind the development of this technical indicator was to improve lag and false signals, which can be present in moving averages.
Function
The T3 indicator performs better than the ordinary moving averages. The reason for this is T3 Moving Average is built with the EMA (exponential moving average).
Its calculation is based on the sum of single EMA, double EMA, Triple EMA, and so on.
This gives the following equation:
T3 = c1*e6 + c2*e5 + c3*e4 + c4*e3…
Where
e3 = EMA (e2, Period)
e4 = EMA (e3, Period)
e5 = EMA (e4, Period)
e6 = EMA (e5, Period)
a is the volume factor, with a default value of 0.7 but you can also use 0.618
c1 = a^3
c2 = 3*a^2 + 3*a^3
c3 =6*a^2 – 3*a – 3*a^3
c4 = 1 + 3*a + a^3 + 3*a^2
When a trend appears, the price action stays above or below the trend line and doesn’t get disturbed from the price swing. The moving of the T3 and the lack of reversals can indicate the end of the trend. The T3 Moving Average produces signals just like moving averages, and similar trading conditions can be applied. If the price is above the T3 Moving Average and the indicator moves upward, this is a sign of a bullish trend. Here we may look to enter long. Conversely, if the price action is below the T3 Moving Average and the indicator moves downwards, a bearish trend appears. Here we may want to look for a short entry.
Key Signal
Price --> Price Input.
T3 --> T3 Ouput.
Remarks
This is a Level 1 free and open source indicator.
Feedbacks are appreciated.
Daily and Weekly Moving Averages on Daily ChartFor the long term trend I use the 200 and 150 daily moving averages. The 200-day MA will be plotted as a black line. It is a no-go zone to buy anything trading below that.
The 150-day, or 30-week like Stan Weinstein uses, is plotted in orange.
Than I use the 50 day moving average but also the 10 week moving average. While those look similar there is a small difference which sometimes impacts the choice for selling a stock or holding on to it.
That slight difference is useful in different situations that’s why I want to have them both on my chart.
Both the 50-day and the 10-week are plotted as red lines on the chart. Since there’s only a small difference the same color gives a nicer view.
For shorter term trend I like to use the 20 and 10 day exponential moving averages. I tested these but also the commonly used 21, 9 and some other variations. But came to the conclusion that for me the 20EMA and 10EMA works best.
Both EMA’s are plotted in blue, where the 20EMA has a thicker line to easily see the difference.
Crypto EMA+MA+MACS by hobbeLeThis is an indicator that includes several EMAs and MAs (Used in Cryptotrading).
In addition, the Golden and Death Cross are also displayed.
Used MAs
MA 7 - Orange Line
MA 21 - Yellow Line
MA 25 - Grey Line
MA 99 - Blue Line
MA 200 - Green Line
Used EMAs
EMA 200 - Grey Dotted Line
EMA 222 - Pink Dotted Line
Golden Cross
Crossover MA25 + MA200
Death Cross
Crossunder MA25 + MA200
What is a Moving Average (MA) ?
A moving average (MA) is a widely used indicator in technical analysis that helps smooth out price action by filtering out the “noise” from random short-term price fluctuations.
Moving average is a trend-following, or lagging, indicator because it is based on past prices. The most common applications of moving averages are:
to identify the trend direction
to determine support and resistance levels
The two basic and commonly used moving averages are the simple moving average ( SMA ), which is the arithmetic average of a security over a defined number of time periods, and the exponential moving average ( EMA ), which gives greater weight to more recent prices.
What is a Golden Cross?
The golden cross is a candlestick pattern that is a bullish signal in which a relatively short-term moving average crosses above a long-term moving average. The golden cross is a bullish breakout pattern formed from a crossover involving a security's short-term moving average (such as the 15-day moving average) breaking above its long-term moving average (such as the 50-day moving average) or resistance level. As long-term indicators carry more weight, the golden cross indicates a bull market on the horizon and is reinforced by high trading volumes.
What Is a Death Cross?
The death cross is a technical chart pattern indicating the potential for a major selloff. The death cross appears on a chart when a stock’s short-term moving average crosses below its long-term moving average.
Source; Investopedia
Acc/Dist. Cloud with Fractal Deviation Bands by @XeL_ArjonaACCUMULATION / DISTRIBUTION CLOUD with MORPHIC DEVIATION BANDS
Ver. 2.0.beta.23:08:2015
by Ricardo M. Arjona @XeL_Arjona
DISCLAIMER
The Following indicator/code IS NOT intended to be a formal investment advice or recommendation by the author, nor should be construed as such. Users will be fully responsible by their use regarding their own trading vehicles/assets.
The embedded code and ideas within this work are FREELY AND PUBLICLY available on the Web for NON LUCRATIVE ACTIVITIES and must remain as is.
Pine Script code MOD's and adaptations by @XeL_Arjona with special mention in regard of:
Buy (Bull) and Sell (Bear) "Power Balance Algorithm by Vadim Gimelfarb published at Stocks & Commodities V. 21:10 (68-72).
Custom Weighting Coefficient for Exponential Moving Average (nEMA) adaptation work by @XeL_Arjona with contribution help from @RicardoSantos at TradingView @pinescript chat room.
Morphic Numbers (PHI & Plastic) Pine Script adaptation from it's algebraic generation formulas by @XeL_Arjona
Fractal Deviation Bands idea by @XeL_Arjona
CHANGE LOG:
ACCUMULATION / DISTRIBUTION CLOUD: I decided to change it's name from the Buy to Sell Pressure. The code is essentially the same as older versions and they are the center core (VORTEX?) of all derived New stuff which are:
MORPHIC NUMBERS: The "Golden Ratio" expressed by the result of the constant "PHI" and the newer and same in characteristics "Plastic Number" expressed as "PN". For more information about this regard take a look at: HERE!
CUSTOM(K) EXPONENTIAL MOVING AVERAGE: Some code has cleaned from last version to include as custom function the nEMA , which use an additional input (K) to customise the way the "exponentially" is weighted from the custom array. For the purpose of this indicator, I implement a volatility algorithm using the Average True Range of last 9 periods multiplied by the morphic number used in the fractal study. (Golden Ratio as default) The result is very similar in response to classic EMA but tend to accelerate or decelerate much more responsive with wider bars presented in trending average.
FRACTAL DEVIATION BANDS: The main idea is based on the so useful Standard Deviation process to create Bands in favor of a multiplier (As John Bollinger used in it's own bands) from a custom array, in which for this case is the "Volume Pressure Moving Average" as the main Vortex for the "Fractallitly", so then apply as many "Child bands" using the older one as the new calculation array using the same morphic constant as multiplier (Like Fibonacci but with other approach rather than %ratios). Results are AWSOME! Market tend to accelerate or decelerate their Trend in favor of a Fractal approach. This bands try to catch them, so please experiment and feedback me your own observations.
EXTERNAL TICKER FOR VOLUME DATA: I Added a way to input volume data for this kind of study from external tickers. This is just a quicky-hack given that currently TradingView is not adding Volume to their Indexes so; maybe this is temporary by now. It seems that this part of the code is conflicting with intraday timeframes, so You are advised.
This CODE is versioned as BETA FOR TESTING PROPOSES. By now TradingView Admins are changing lot's of things internally, so maybe this could conflict with correct rendering of this study with special tickers or timeframes. I will try to code by itself just the core parts of this study in order to use them at discretion in other areas. ALL NEW IDEAS OR MODIFICATIONS to these indicator(s) are Welcome in favor to deploy a better and more accurate readings. I will be very glad to be notified at Twitter or TradingView accounts at: @XeL_Arjona
Advanced custom multi MA signals (EMA/SMA/VWMA/VWAP) Features of Multi Moving Averages
The biggest enemy in trading is "Noise." If you get swayed by minute fluctuations on the chart, you end up missing the forest for the trees.
This indicator (Advanced Custom Multi MA Signals) is not just a simple line. By combining the three core elements of Price, Time, and Volume, it acts as a navigation system that visualizes the market's "true trend." In particular, the ability to analyze 5 moving averages simultaneously across various timeframes is akin to viewing a 3D map of the battlefield.
Understanding Core Concepts
This indicator supports 4 types of moving averages. It is crucial to clearly understand the nature of each tool.
SMA (Simple Moving Average): The most basic average value. Since it produces fewer whipsaws (false signals), it is used as a baseline to judge the "long-term trend."
EMA (Exponential Moving Average): Places more weight on recent prices. It reacts sensitively to market changes, making it advantageous for identifying "entry points."
VWMA (Volume Weighted Moving Average): Incorporates "volume" into the price calculation. It acts as a "false signal filter," weeding out price moves that aren't backed by trading volume.
VWAP (Volume Weighted Average Price): The benchmark price used by institutional investors for daily trading. It is calculated based on the session, regardless of the period settings. It is considered the "lifeline" of day trading.
Indicator Settings Guide
Open the settings window and tune it to fit your trading style.
MA 01 ~ 05 (Moving Average Settings)
MA Type: Select according to your purpose. (Generally, EMA is recommended for short-term analysis, SMA/VWMA for long-term).
Length: Enter the period you wish to analyze (e.g., 20, 60, 120, 200).
Timeframe: This is the core feature. It allows you to overlay moving averages from a higher timeframe (e.g., 4-hour, Daily) onto the chart you are currently viewing (e.g., 15-minute).
Signal Option (Trading Signals)
Golden Cross (GC) / Death Cross (DC): Captures the moment the short-term line breaks through the long-term line. You can run up to 3 strategies simultaneously.
Ribbon Gradient (Trend Visualization)
Represents the gap between two moving averages with color. As the color deepens and the width expands, it indicates a powerful trend; if the width narrows, it suggests a high probability of a trend reversal.
5 Usage Strategies
The highlight of this indicator is the cross strategy utilizing the "Multi-Timeframe (MTF)" feature. Familiarize yourself with the 5 example strategies below and set up your own strategy based on your expertise.
💡 Tip 1. Do not go against the "Major Trend" (The Authority of the Weekly Candle)
Settings: Set MA5 to .
Interpretation: The Weekly 50 line is the "major trend line" managed by institutions and market makers. If the current price is above this line, maintain only a "Buy (Long)" bias; if below, maintain only a "Sell (Short)" bias. Adhering to this rule alone can help you avoid massive losses.
💡 Tip 2. Highly Reliable "Swing Signal" (Daily Golden Cross)
Settings: In Signal 1, configure the Short MA to and the Long MA to .
Interpretation: A Golden Cross where the 4-Hour 50 EMA breaks above the Daily 50 EMA often signifies a major "trend reversal" rather than a temporary rebound. This provides an ideal entry signal for office workers or swing traders who need high reliability.
💡 Tip 3. 4-Hour Candle as the Standard for "Precision Entry"
Situation: When the Daily trend is rising (Bullish alignment).
Strategy: While watching the 15-minute or 1-hour chart, set the indicator's Signal 2 to the cross of and .
Interpretation: When the Daily chart is in an uptrend, a Golden Cross occurring on the 4-Hour chart marks "the point where a correction (pullback) ends and the rise resumes." This is the entry point with the best risk-to-reward ratio.
💡 Tip 4. Filtering Out "Fake Signals" (The Secret of Volume)
Strategy: When creating a cross signal, try using VWMA (Volume Weighted) for the Long MA, even if you use EMA for the Short MA.
Reason: A Golden Cross caused simply by a rise in price can be a trap. However, if it breaks through the heavy VWMA line accompanied by volume, it is strong evidence that "genuine liquidity" has entered.
💡 Tip 5. Remember the "Hierarchy" (Higher Timeframe Priority Rule)
Principle: If a Golden Cross (Buy Signal) appears on the 4-Hour chart, but the Daily chart is in a Death Cross (Sell Signal) state, do not enter.
Interpretation: A signal from a lower timeframe cannot overcome the power of a higher timeframe. The professional approach is to trade with significant volume only when signals align (Sync) in the order of Weekly > Daily > 4-Hour. Keep this indicator's dashboard feature on and always check the status of higher timeframes.
Signal Generation Principle (Operating Mechanism)
Signals are generated when the set short-term moving average and long-term moving average cross each other.
📈 1. Golden Cross (BUY = Buy Signal)
Situation: The moment the short-term MA crosses upward from below the long-term MA.
Principle: It implies that recent buying pressure has broken through the resistance level accumulated over a long period.
📉 2. Death Cross (SELL = Sell Signal)
Situation: The moment the short-term MA crosses downward from above the long-term MA.
Principle: It implies that recent selling pressure has collapsed the long-term support line.
※ If the candles are not displaying correctly or are flickering, please set the indicator's 'Visual order' to 'Bring to front' as shown in the image below.
Investment Caution and Disclaimer
Before using this indicator for actual trading, please strictly read the contents below.
① Auxiliary indicators are a "Compass," not a "Book of Prophecy."
This indicator is merely a tool that mathematically calculates and visualizes past price data. A "magic indicator" that predicts future price fluctuations 100% accurately or guarantees profit does not exist. The signals provided are for reference only and must never be the sole basis for entry/exit decisions.
② The responsibility for all investments lies with "Yourself."
Financial investment (Cryptocurrencies, Stocks, Futures, etc.) involves high volatility and is a risky activity that can result in the loss of some or all of the principal. The final responsibility for all trading results (profits and losses) incurred by utilizing this indicator lies entirely with the investor. The distributor and developer accept no legal responsibility for investment results under any circumstances.
③ Past data does not guarantee the future.
Even a Golden Cross that fit perfectly in backtesting or past charts may operate differently in tomorrow's market situation (News, Macroeconomics, Unexpected Variables, etc.). Do not rely solely on technical analysis; you must conduct fundamental analysis and risk management in parallel.
④ Risk management is the top priority.
No matter how promising a signal appears, "all-in trading" (investing all assets in a single trade) is a shortcut to bankruptcy. More important than the indicator itself is adhering to the principles of strict scaling in (split buying) and Stop-Loss.
HTF BIAS FILTER🧭HTF Bias Filter Indicator: 5 in 1 indicator
Technical Overview
The Bias Filter is a comprehensive multi-timeframe tool designed to confirm directional bias using five key indicators before entering a trade. It plots higher-timeframe Moving Averages directly on the chart and provides an immediate status summary via a static dashboard.
The more confluence on the dashboard, the greater the probability of the direction of the trade.
1. 📊 Display Components
A. Plotted Lines
The indicator uses the request.security function to draw Moving Averages from higher timeframes onto your current chart:
1H EMA 21 (Purple): The 21-period Exponential Moving Average calculated on the 1-Hour (60 min) chart. Plotted using a step-line style.
4H EMA 50 (Red): The 50-period Exponential Moving Average calculated on the 4-Hour (240 min) chart. Plotted using a step-line style.
B. Directional Dashboard
A fixed-position summary table is anchored to the bottom-right corner of the chart, providing a quick glance at the current status of all five filters.
2. 🎨 Colour Logic
Each of the five indicators is assigned a colour based on its current directional signal. The more indicators that show the same colour (confluence), the stronger the signal and the higher the likelihood of a high-probability trade.
🟢 Green indicators are signaling UP/BUY (Bullish momentum or trend).
🔴 Red indicators are signaling DOWN/SELL (Bearish momentum or trend).
⚫ Gray indicators are signaling Mixed or flat directions (neutral or undecided).
Note: The dashboard's main header color is determined by a strict confluence logic (All four 4H filters must align for Green/Red), while individual indicator colors follow the simple rules above.
3. 📋 Indicator Breakdown and Logic
The dashboard provides the direction of five different filters.
3.1. Higher-Timeframe (HTF) Trend Indicators
These two signals determine the immediate slope and direction of the primary Moving Averages:
4H EMA 50:
Timeframe: 4-Hour (240 min)
Logic: Compares the current EMA value to the value two bars ago on the 4H chart.
Output: UP ↑, DOWN ↓, or FLAT ⏸
1H EMA 21:
Timeframe: 1-Hour (60 min)
Logic: Compares the current EMA value to the value two bars ago on the 1H chart.
Output: UP ↑, DOWN ↓, or FLAT ⏸
3.2. 4-Hour Confluence Filters
These three indicators provide supplementary confirmation on Volume, Price Position, and Momentum, all calculated on the 4-Hour (240 min) chart:
4H OBV (Smoothed):
Timeframe: 4-Hour (240 min)
Logic: Direction is based on the current value of the 21-bar smoothed On-Balance Volume (OBV) compared to its value nine bars ago.
Output: UP ↑, DOWN ↓, or FLAT ⏸
4H ATR DIR (EMA Proxy):
Timeframe: 4-Hour (240 min)
Logic: Determines the price position by comparing the current Close price against the 4H EMA 50.
Output: BUY 🟢 (Close > EMA 50), SELL 🔴 (Close < EMA 50), or FLAT ⏸️ (Close = EMA 50).
4H RSI (14):
Timeframe: 4-Hour (240 min)
Logic: Momentum check comparing the 14-period Relative Strength Index (RSI) value against the 50 level.
Output: BUY 🟢 (RSI > 50), SELL 🔴 (RSI < 50), or FLAT ⏸️ (RSI = 50).
Moving Aaverage (EMA) & VWAP by Vish
Multi-Timeframe Moving Averages with VWAP
This indicator combines essential moving averages with VWAP to provide comprehensive trend analysis on a single chart. Designed for traders who need quick visual reference of multiple timeframes and volume-weighted price levels.
Features:
• Six customizable moving averages: 8, 13, 21, 50, 100, and 200 periods
• Toggle between Simple Moving Average (SMA) and Exponential Moving Average (EMA) for all lines
• Individual on/off controls for each moving average
• Volume Weighted Average Price (VWAP) with customizable settings
• VWAP anchor options: Session, Week, Month, Quarter, and Year
• Clean, color-coded visualization for easy identification
• Fully customizable through settings panel
Use Cases:
• Identify trend direction across multiple timeframes
• Find dynamic support and resistance levels
• Spot potential entry and exit points
• Analyze price action relative to volume-weighted average
• Confirm trend strength with multiple MA convergence/divergence
Settings:
All parameters are adjustable including MA type (SMA/EMA), individual MA visibility, VWAP source, and VWAP anchor period.
Suitable for all markets and timeframes. Works on stocks, forex, crypto, commodities, and indices.
#moving average #MA #EMA #SMA #VWAP #trend #support #resistance #multi-timeframe
VWAP D/W/M + MA100 & EMA100 albanThis TradingView indicator displays three independent VWAPs (Volume Weighted Average Prices) along with MA100 (Simple Moving Average) and EMA100 (Exponential Moving Average) on the chart.
Key Features:
VWAP #1, VWAP #2, VWAP #3: Each VWAP can be configured independently with:
Source (hlc3, close, etc.)
Anchor period (Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, Splits)
Offset
Option to hide on daily or higher timeframes
MA100: 100-period Simple Moving Average
EMA100: 100-period Exponential Moving Average
Purpose:
This script is ideal for traders who want to track multiple VWAP levels simultaneously while also monitoring the 100-period moving averages for trend analysis. It provides a clean setup without bands or fills, focusing solely on price averages.
Use Cases:
Identify intraday or multi-timeframe VWAP levels
Combine VWAP levels with MA100/EMA100 for support/resistance analysis
Analyze trend direction and momentum using moving averages
DECODE Moving Average ToolkitDECODE Moving Average Toolkit: Your All-in-One MA Analysis Powerhouse!
This versatile indicator is designed to be your go-to solution for analysing trends, identifying potential entry/exit points, and staying ahead of market movements using the power of Moving Averages (MAs).
Whether you're a seasoned trader or just starting out, the Decode MAT offers a comprehensive suite of features in a user-friendly package.
Key Features:
Multiple Moving Averages: Visualize up to 10 Moving Averages simultaneously on your chart.
Includes 5 Exponential Moving Averages (EMAs) and 5 Simple Moving Averages (SMAs).
Easily toggle the visibility of each MA and customize its length to suit your trading style and the asset you're analyzing.
Dynamic MA Ribbons: Gain a clearer perspective on trend direction and strength with 5 configurable MA Ribbons.
Each ribbon is formed between a corresponding EMA and SMA (e.g., EMA 20 / SMA 20).
The ribbon color changes to indicate bullish (e.g., green) or bearish (e.g., red) sentiment, providing an intuitive visual cue.
Toggle ribbon visibility with a single click.
Powerful Crossover Alerts: Never miss a potential trading opportunity with up to 5 customizable MA Crossover Alerts.
Define your own fast and slow MAs for each alert from any of the 10 available MAs.
Receive notifications directly through TradingView when your specified MAs cross over or cross under.
Optionally display visual symbols (e.g., triangles ▲▼) directly on your chart at the exact crossover points for quick identification.
Highly Customizable:
Adjust the source price (close, open, etc.) for all MA calculations.
Fine-tune the appearance (colors, line thickness) of every MA line, ribbon, and alert symbol to match your charting preferences.
User-Friendly Interface: All settings are neatly organized in the indicator's input menu, making configuration straightforward and intuitive.
How Can You Use the Decode MAT in Your Trading?
This toolkit is incredibly versatile and can be adapted to various trading strategies:
Trend Identification:
Use longer-term MAs (e.g., 50, 100, 200 period) to identify the prevailing market trend. When prices are consistently above these MAs, it suggests an uptrend, and vice-versa.
Observe the MA ribbons: A consistently green ribbon can indicate a strong uptrend, while a red ribbon can signal a downtrend. The widening or narrowing of the ribbon can also suggest changes in trend momentum.
Dynamic Support & Resistance:
Shorter-term MAs (e.g., 10, 20 period EMAs) can act as dynamic levels of support in an uptrend or resistance in a downtrend. Look for price pullbacks to these MAs as potential entry opportunities.
Crossover Signals (Entries & Exits):
Golden Cross / Death Cross: Configure alerts for classic crossover signals. For example, a 50-period MA crossing above a 200-period MA (Golden Cross) is often seen as a long-term bullish signal. Conversely, a 50-period MA crossing below a 200-period MA (Death Cross) can be a bearish signal.
Shorter-Term Signals: Use crossovers of shorter-term MAs (e.g., EMA 10 crossing EMA 20) for more frequent, shorter-term trading signals. A fast MA crossing above a slow MA can signal a buy, while a cross below can signal a sell.
Use the on-chart symbols for quick visual confirmation of these crossover events.
Confirmation Tool:
Combine the Decode MAT with other indicators (like RSI, MACD, or volume analysis) to confirm signals and increase the probability of successful trades. For instance, a bullish MA crossover combined with an oversold RSI reading could strengthen a buy signal.
Multi-Timeframe Analysis:
Apply the toolkit across different timeframes to get a broader market perspective. A long-term uptrend on the daily chart, confirmed by a short-term bullish crossover on the 1-hour chart, can provide a higher-confidence entry.
The DECODE Moving Average Toolkit empowers you to tailor your MA analysis precisely to your needs.
RSI + MA + Divergence + SnR + Price levelOverview
This indicator combines several technical analysis tools to give traders a comprehensive view based on the RSI indicator. Its main features include:
RSI & Moving Averages on RSI:
RSI: Calculates the RSI based on the closing price (or a user-selected source) with a configurable period (default is 14).
EMA and WMA: Computes and plots an Exponential Moving Average (EMA with a period of 9) and a Weighted Moving Average (WMA with a period of 45) on the RSI, helping to smooth out signals and better identify trends.
Price Ladder Based on RSI:
Draws horizontal lines at specified target RSI levels (from targetRSI1 to targetRSI7, default levels ranging from 20 to 80).
Calculates a target price based on the price change relative to the averaged gains and losses, providing an estimated price level when the RSI reaches those critical levels.
Divergence Detection:
Identifies divergence between price and RSI:
Bullish Divergence: Detected when the price forms a lower low but RSI fails to confirm with a corresponding lower low, with the RSI falling under a configurable threshold (d_below).
Bearish Divergence: Detected when the price forms a higher high while the RSI does not, with the RSI exceeding a configurable upper threshold (d_upper).
Optionally displays labels on the chart to alert the trader when divergence signals are detected.
Auto Support & Resistance on RSI:
Automatically calculates and plots support and resistance lines based on the RSI over different lookback periods (e.g., 34, 89, 200 bars).
Helps traders identify key RSI levels where price reversals or breakouts might occur.
Benefits for the Trader
This indicator is designed to assist traders in their decision-making process by integrating multiple technical analysis elements:
Identifying Market Trends:
By combining the RSI with its moving averages (EMA, WMA), traders can better assess market trends and the strength of these trends, thereby improving trade entry accuracy.
Early Reversal Signals via Divergence:
Divergence signals (both bullish and bearish) can help forecast potential reversals in the market, allowing traders to adjust their strategies timely.
Determining RSI-Based Support/Resistance Levels:
Automatic identification of support and resistance levels on the RSI provides key areas where a price reversal or breakout may occur, assisting traders in setting stop-loss and take-profit levels strategically.
Price Target Forecasting with the Price Ladder:
The target price labels calculated at important RSI levels provide insights into potential price objectives, aiding in risk management and profit planning.
Flexible Configuration:
Traders can customize key parameters such as the RSI period, lengths for EMA and WMA, target RSI levels, divergence conditions, and support/resistance settings. This flexibility allows the indicator to adapt to different trading styles and strategies.
How to read data
Some use-cases
Used to estimate price according to the RSI level.
When you trade using RSI, you want to set your stop-loss or take-profit levels based on RSI. By looking at the price ladder, you know the corresponding price level to enter a trade.
Used to determine the entry zone.
RSI often reacts to its own previously established support/resistance levels. Use the Auto SnR feature to identify those zones.
Used to determine the trend.
RSI and its moving averages help identify the price trend:
Uptrend: 3 lines separate and point upward.
Downtrend: 3 lines separate and point downward.
Use WMA45 to determine the trend:
Uptrend: WMA45 is moving upward or trading above the 50 level.
Downtrend: WMA45 is moving downward or trading below the 50 level.
Sideways: WMA45 is trading around the 50 level.
Use EMA9 to confirm the trend: A crossover of EMA9 through WMA45 confirms the formation of a new trend.
Configuration
The script allows users to configure a number of important parameters to suit their analytical preferences:
RSI Settings:
RSI Length (rsiLengthInput): The number of periods used to compute the RSI (default is 14, adjustable as needed).
RSI Source (rsiSourceInput): Select the price source (default is the closing price).
RSI Color (rsiClr): The color used to display the RSI line.
Moving Averages on RSI:
EMA Length (emaLength): The period for calculating the EMA on RSI (default is 9).
WMA Length (wmaLength): The period for calculating the WMA on RSI (default is 45).
EMA Color (emaClr) and WMA Color (wmaClr): Customize the colors of the EMA and WMA lines.
Price Ladder Settings:
Toggle Price Ladder (showPrice): Enable or disable the display of the price ladder.
Target RSI Levels: targetRSI1 through targetRSI7: RSI values at which target prices are calculated (default values range from 20, 30, 40, 50, 60, 70 to 80).
Price Label Color (priceColor): The text color for displaying the target price labels.
Divergence Settings:
Divergence Toggle (calculateDivergence): Option to enable or disable divergence calculation and display.
Divergence Conditions:
d_below: RSI level below which bullish divergence is considered.
d_upper: RSI level above which bearish divergence is considered.
Display Divergence Labels (showDivergenceLabel): Option to display labels on the chart when divergence is detected.
Auto Support & Resistance on RSI:
Toggle Auto S&R (enableAutoSnR): Enable or disable automatic plotting of support and resistance levels.
Lookback Periods for Support/Resistance:
L1_lookback: Lookback period for level 1 (e.g., 34 bars).
L2_lookback: Lookback period for level 2 (e.g., 89 bars).
L3_lookback: Lookback period for level 3 (e.g., 200 bars).
Support and Resistance Colors:
rsiSupportClr: Color for the support line.
rsiResistanceClr: Color for the resistance line.
Alerts:
Divergence Alerts: Alert conditions are set up to notify the trader when bullish or bearish divergence is detected, aiding in timely decision-making.
AO/AC Trading Zones Strategy [Skyrexio] Overview
AO/AC Trading Zones Strategy leverages the combination of Awesome Oscillator (AO), Acceleration/Deceleration Indicator (AC), Williams Fractals, Williams Alligator and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Combination of AO and AC is used for creating so-called trading zones to create the signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over. In some special cases strategy uses AO and AC combination to trail profit (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one.
Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one.
Methodology
The strategy opens long trade when the following price met the conditions:
1. Price closed above EMA (by default, period = 100). Crossover is not obligatory.
2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph)
3. Both AC and AO shall print two consecutive increasing values. At the price candle close which corresponds to this condition algorithm opens the first long trade with 10% of capital.
4. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened.
5. If AO and AC both continue printing the rising values strategy opens the long trade on each candle close with 10% of capital while number of opened trades reaches 5.
6. If AO and AC both has printed 5 rising values in a row algorithm close all trades if candle's low below the low of the 5-th candle with rising AO and AC values in a row.
Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent.
Strategy settings
In the inputs window user can setup strategy setting:
EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation).
User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA.
The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows:
1.Calculate the Smoothing Multiplier:
Multiplier = 2 / (n + 1), Where n is the number of periods.
2. EMA Calculation
EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier)
In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy.
How do these tools work together in this strategy? Let’s consider an example of an uptrend.
When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish.
The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals.
In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades.
By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics.
Now let's talk about the trading zones concept and its signals. To understand this we need to briefly introduce what is AO and AC. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula:
AC = AO − SMA5(AO) , where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator
When the AC is above the zero line and rising, it suggests accelerating upward momentum.
When the AC is below the zero line and falling, it indicates accelerating downward momentum.
When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum.
Now let's discuss the trading zones concept and how it can create the signal. Zones are created by the combination of AO and AC. We can divide three zone types:
Greed zone: when the AO and AC both are rising
Red zone: when the AO and AC both are decreasing
Gray zone: when one of AO or AC is rising, the other is falling
Gray zone is considered as uncertainty. AC and AO are moving in the opposite direction. Strategy skip such price action to decrease the chance to stuck in the losing trade during potential sideways. Red zone is also not interesting for the algorithm because both indicators consider the trend as bearish, but strategy opens only long trades. It is waiting for the green zone to increase the chance to open trade in the direction of the potential uptrend. When we have 2 candles in a row in the green zone script executes a long trade with 10% of capital.
Two green zone candles in a row is considered by algorithm as a bullish trend, but now so strong, that's the reason why trade is going to be closed when the combination of Alligator and Fractals will consider the the trend change from bullish to bearish. If id did not happens, algorithm starts to count the green zone candles in a row. When we have 5 in a row script change the trade closing condition. Such situation is considered is a high probability strong bull market and all trades will be closed if candle's low will be lower than fifth green zone candle's low. This is used to increase probability to secure the profit. If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. Each trade uses 10% of capital.
Why we use trading zones signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC and AO values in the direction of the most likely main trend signaling that we have the high probability of the fastest bullish phase on the market. The main idea is to take part in such rapid moves and add trades if this move continues its acceleration according to indicators.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.12.31. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 10%
Maximum Single Position Loss: -9.49%
Maximum Single Profit: +24.33%
Net Profit: +4374.70 USDT (+43.75%)
Total Trades: 278 (39.57% win rate)
Profit Factor: 2.203
Maximum Accumulated Loss: 668.16 USDT (-5.43%)
Average Profit per Trade: 15.74 USDT (+1.37%)
Average Trade Duration: 60 hours
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
On Balance Volume with Cross DetectionThis indicator enhances the On Balance Volume (OBV) indicator by detecting and visually highlighting crossovers and crossunders between the OBV and its smoothed moving average. The script colors the background of the chart to make these key events more noticeable: red highlights a bearish crossunder when the OBV crosses below the smoothed OBV, while green marks a bullish crossover when the OBV crosses above the smoothed OBV. By focusing on these significant interactions, the script provides traders with a clear visual cue to help identify potential buying and selling opportunities based on the relationship between OBV and its smoothed trend.
This script offers several customizable features to suit different trading preferences. The main editable parameter is the type of moving average used to smooth the OBV: you can choose from options such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (RMA), Weighted Moving Average (WMA), or Volume Weighted Moving Average (VWMA). The length of the moving average can also be adjusted to better match the trader’s desired sensitivity, with the default set to 14 periods. These options allow traders to tailor the script to their preferred smoothing method and time frame, making it a flexible tool for a variety of strategies. The ability to switch between different moving averages and adjust their lengths ensures that the script can be adapted to various market conditions and trading styles.
This indicator enhances the analysis of the On Balance Volume (OBV) indicator by visually highlighting key crossovers and crossunders with its smoothed moving average. With customizable settings for different moving averages and lengths, traders can tailor the script to their specific strategies. By offering clear visual cues through background coloring, it helps quickly identify potential buy and sell signals. When combined with other technical analysis tools, this script can further improve trading decisions by providing additional context and confirmation, allowing traders to create a more robust and comprehensive trading strategy.
Arrow-SimplyTrade vol1.5-FinalTitle: Arrow-SimplyTrade vol1.5-Final
Description:
This advanced trading indicator is designed to assist traders in analyzing market trends and identifying optimal entry signals. It combines several popular technical analysis tools and strategies, including EMA (Exponential Moving Average), MA (Simple Moving Averages), Bollinger Bands, and candlestick patterns. This indicator provides both trend-following and counter-trend signals, making it suitable for various trading styles, such as scalping and swing trading.
Main Features:
EMA (Exponential Moving Average):
EMA200 is the main trend line that helps determine the overall market direction. When the price is above EMA200, the trend is considered bullish, and when the price is below EMA200, the trend is considered bearish.
It helps filter out signals that go against the prevailing market trend.
Simple Moving Averages (MA5 and MA15):
This indicator uses two Simple Moving Averages: MA5 (Fast) and MA15 (Slow). Their crossovers create buy or sell signals:
Buy Signal: When MA5 crosses above MA15, signaling a potential upward trend.
Sell Signal: When MA5 crosses below MA15, signaling a potential downward trend.
Bollinger Bands:
Bollinger Bands measure market volatility and can identify periods of overbought or oversold conditions. The Upper and Lower Bands help detect potential breakout points, while the Middle Line (Basis) serves as dynamic support or resistance.
This tool is particularly useful for identifying volatile conditions and potential reversals.
Arrows:
The indicator plots arrows on the chart to signal entry opportunities:
Green Arrows signal buy opportunities (when MA5 crosses above MA15 and price is above EMA200).
Red Arrows signal sell opportunities (when MA5 crosses below MA15 and price is below EMA200).
Opposite Arrows: Optionally, the indicator can also display arrows for counter-trend signals, triggered by MA5 and MA15 crossovers, regardless of the price's position relative to EMA200.
Candlestick Patterns:
The indicator detects popular candlestick patterns such as Bullish Engulfing, Bearish Engulfing, Hammer, and Doji.
These patterns are important for confirming entry points or anticipating trend reversals.
How to Use:
EMA200: The main trend line. If the price is above EMA200, consider long positions. If the price is below EMA200, consider short positions.
MA5 and MA15: Short-term trend indicators. The crossover of these averages generates buy or sell signals.
Bollinger Bands: Use these bands to spot overbought/oversold conditions. Breakouts from the bands may signal potential entry points.
Arrows: Green arrows represent buy signals, and red arrows represent sell signals. Opposite direction arrows can be used for counter-trend strategies.
Candlestick Patterns: Patterns like Bullish Engulfing or Doji can help confirm the signals.
Customizable Settings:
Fully customizable colors, line styles, and display settings for EMA, MAs, Bollinger Bands, and arrows.
The Candlestick Patterns feature can be toggled on or off based on user preference.
Important Notes:
This indicator is intended to be used in conjunction with other analysis tools.
Past performance does not guarantee future results.
Polish:
Tytuł: Arrow-SimplyTrade vol1.5-Final
Opis:
Ten zaawansowany wskaźnik handlowy jest zaprojektowany, aby pomóc traderom w analizie trendów rynkowych oraz identyfikowaniu optymalnych sygnałów wejścia. Łączy w sobie kilka popularnych narzędzi analizy technicznej i strategii, w tym EMA (Wykładnicza Średnia Ruchoma), MA (Prosta Średnia Ruchoma), Bollinger Bands oraz formacje świecowe. Wskaźnik generuje zarówno sygnały podążające za trendem, jak i przeciwnym trendowi, co sprawia, że jest odpowiedni do różnych stylów handlu, takich jak scalping oraz swing trading.
Główne Funkcje:
EMA (Wykładnicza Średnia Ruchoma):
EMA200 to główna linia trendu, która pomaga określić ogólny kierunek rynku. Gdy cena znajduje się powyżej EMA200, trend jest uznawany za wzrostowy, a gdy poniżej EMA200, za spadkowy.
Pomaga to filtrować sygnały, które są niezgodne z głównym trendem rynkowym.
Proste Średnie Ruchome (MA5 i MA15):
Wskaźnik używa dwóch Prostych Średnich Ruchomych: MA5 (szybka) oraz MA15 (wolna). Ich przecięcia generują sygnały kupna lub sprzedaży:
Sygnał Kupna: Kiedy MA5 przecina MA15 od dołu, sygnalizując potencjalny wzrost.
Sygnał Sprzedaży: Kiedy MA5 przecina MA15 od góry, sygnalizując potencjalny spadek.
Bollinger Bands:
Bollinger Bands mierzą zmienność rynku i mogą pomóc w identyfikowaniu okresów wykupienia lub wyprzedania rynku. Górna i dolna linia pomagają wykrywać punkty wybicia, a Środkowa Linia (Basis) działa jako dynamiczny poziom wsparcia lub oporu.
Narzędzie to jest szczególnie przydatne w wykrywaniu warunków zmienności i potencjalnych odwróceń trendu.
Strzałki:
Wskaźnik wyświetla strzałki na wykresie, które wskazują sygnały kupna i sprzedaży:
Zielona strzałka wskazuje sygnał kupna (gdy MA5 przecina MA15 i cena jest powyżej EMA200).
Czerwona strzałka wskazuje sygnał sprzedaży (gdy MA5 przecina MA15 i cena jest poniżej EMA200).
Strzałki w przeciwnym kierunku: Opcjonalna funkcja, która pokazuje strzałki w przeciwnym kierunku, uruchamiane przez przecięcia MA5 i MA15, niezależnie od pozycji ceny względem EMA200.
Formacje Świecowe:
Wskaźnik wykrywa popularne formacje świecowe, takie jak Bullish Engulfing, Bearish Engulfing, Hammer oraz Doji.
Formacje te pomagają traderom potwierdzić punkty wejścia i przewidzieć możliwe odwrócenia trendu.
Jak Używać:
EMA200: Główna linia trendu. Jeśli cena jest powyżej EMA200, rozważaj pozycje długie. Jeśli cena jest poniżej EMA200, rozważaj pozycje krótkie.
MA5 i MA15: Śledzą krótkoterminowe zmiany trendu. Przecięcia tych średnich generują sygnały kupna lub sprzedaży.
Bollinger Bands: Używaj tych pasm do wykrywania wykupionych lub wyprzedanych warunków. Wybicia z pasm mogą wskazywać potencjalne punkty wejścia.
Strzałki: Zielona strzałka wskazuje sygnał kupna, a czerwona strzałka sygnał sprzedaży. Strzałki w przeciwnym kierunku mogą być używane do strategii przeciwtrendowych.
Formacje Świecowe: Formacje takie jak Bullish Engulfing czy Doji mogą pomóc w potwierdzaniu sygnałów.
Ustawienia Personalizacji:
W pełni personalizowalne kolory, style linii i ustawienia wyświetlania dla EMA, MAs, Bollinger Bands oraz strzałek.
Funkcja Formacji Świecowych może być włączana lub wyłączana według preferencji użytkownika.
Ważne Uwagi:
Ten wskaźnik powinien być używany w połączeniu z innymi narzędziami analizy rynku.
Wyniki z przeszłości nie gwarantują wyników w przyszłości.
Golden & Death Cross with Re-Activation [By Oberlunar]🎄 Merry Christmas to All Traders! 🎄
Let me introduce you to a practical and customizable classic tool: the Golden & Death Cross with Re-Activation. This script is designed to help you navigate the markets with precision and adaptability.
Why Is This Script Important?
1. Customizable Moving Averages
You can choose from SMA, EMA, WMA, HMA, or RMA for both moving averages. This flexibility allows you to tailor the strategy to fit different markets and trading styles.
2. Smart Signal Handling
The script generates Golden Cross (LONG) and Death Cross (SHORT) signals while deactivating them automatically when the moving averages start to converge, avoiding unnecessary noise.
3. Reactivation Based on Distance Threshold
With the treshold parameter, signals are reactivated only when the moving averages move apart sufficiently, ensuring that the signals remain meaningful and not just random market noise.
What Are These Moving Averages?
SMA (Simple Moving Average),
EMA (Exponential Moving Average),
WMA (Weighted Moving Average),
HMA (Hull Moving Average),
RMA (Relative Moving Average)
Community Input
We invite you to test this script on various markets (forex, stocks, crypto) and share your insights:
Which moving average combination works best for EUR/USD?
How about BTC/USD?
Does the treshold make a noticeable difference?
Let us know in the comments!
Example Settings
MA 1 Type: HMA, Length: 21
MA 2 Type: HMA, Length: 200
Reactivation Threshold: 0.5
Experiment with it, and let us know your findings.
Wishing you a calm holiday season and a profitable new year ahead! 🎁
🎄 Merry Christmas and Happy Trading! 🎄
[blackcat] L1 BS Line of Defense █ OVERVIEW
The Pine Script provided is an advanced technical indicator designed to generate reliable buy and sell signals by integrating momentum, moving averages, and price level analyses. It employs a custom weighted moving average (WMA) and exponential moving averages (EMAs) to compute key signals known as the "Buy/Sell Signal" and the "Short Line." These signals aim to pinpoint optimal entry and exit points for trades by evaluating their relationship with current market dynamics.
█ FEATURES
Key Components:
• Custom Weighted Moving Average ( WMA ): Provides enhanced flexibility compared to traditional moving averages.
• Exponential Moving Averages ( EMA ): Smooths the defense line and its short-term counterpart to filter out market noise.
• Momentum Indicators: Includes both short-term and long-term momentum adjusted via custom WMA and EMAs.
• Conditional Signal Generation: Signals are triggered based on precise crossovers and price conditions.
Logical Framework:
1 — Input Parameters:
No explicit user-defined inputs; defaults are used for internal calculations.
2 — Custom Functions:
• custom_wma : Calculates a custom WMA.
• calculate_buy_sell_signals : Generates buy and sell signals.
3 — Calculations:
• Momentum and Range Analysis over 9, 34, and 60-bar periods.
• Application of custom WMA and EMAs to smooth and refine data.
• Derivation of the "defense line" and "short_ema_defense."
4 — Plotting:
• Main signal lines ("Buy/Sell Signal" and "Short Line") are visualized.
• A horizontal zero line serves as a reference point.
█ HOW TO USE
To utilize this script effectively:
1 — Add the script to your TradingView chart.
2 — Observe the "Buy/Sell Signal" and "Short Line" relative to the zero line and each other.
3 — Look for crossovers and divergence patterns to identify potential trade opportunities.
4 — Combine the signals with additional technical indicators or fundamental analysis for better accuracy.
█ LIMITATIONS
While the script provides valuable insights, users should consider the following limitations:
• Default settings may not suit all markets or instruments; customization might be necessary.
• False signals can occur during volatile or ranging markets.
• Backtesting and optimization are recommended before live trading.
█ NOTES
For further enhancement and personalization:
• Introduce adjustable input parameters for WMA and EMA lengths and weights.
• Extend the script into a full-fledged trading strategy with entry and exit rules.
• Apply the script across multiple timeframes for comprehensive analysis.
• Incorporate risk management practices such as stop-loss and take-profit levels.
• Explore related Pine Script functions like security() for multi-timeframe analysis and [pine>alertcondition() for automated alerts.
Understanding core concepts like momentum, moving averages, and crossovers will aid in developing similar indicators or refining existing ones.
MultiLayer Acceleration/Deceleration Strategy [Skyrexio]Overview
MultiLayer Acceleration/Deceleration Strategy leverages the combination of Acceleration/Deceleration Indicator(AC), Williams Alligator, Williams Fractals and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Acceleration/Deceleration Indicator is used for creating signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one.
Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one.
Methodology
The strategy opens long trade when the following price met the conditions:
1. Price closed above EMA (by default, period = 100). Crossover is not obligatory.
2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph)
3. Acceleration/Deceleration shall create one of two types of long signals (all details in "Justification of Methodology" paragraph). Buy stop order is placed one tick above the candle's high of last created long signal.
4. If price reaches the order price, long position is opened with 10% of capital.
5. If currently we have opened position and price creates and hit the order price of another one long signal, another one long position will be added to the previous with another one 10% of capital. Strategy allows to open up to 5 long trades simultaneously.
6. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened.
Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent.
Strategy settings
In the inputs window user can setup strategy setting: EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation). User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA.
The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows:
1.Calculate the Smoothing Multiplier:
Multiplier = 2 / (n + 1), Where n is the number of periods.
2. EMA Calculation
EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier)
In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy.
How do these tools work together in this strategy? Let’s consider an example of an uptrend.
When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish.
The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals.
In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades.
By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics.
Now let's talk about Acceleration/Deceleration signals. AC indicator is calculated using the Awesome Oscillator, so let's first of all briefly explain what is Awesome Oscillator and how it can be calculated. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula:
AC = AO − SMA5(AO), where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator
When the AC is above the zero line and rising, it suggests accelerating upward momentum.
When the AC is below the zero line and falling, it indicates accelerating downward momentum.
When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum.
Now we can explain which AC signal types are used in this strategy. The first type of long signal is when AC value is below zero line. In this cases we need to see three rising bars on the histogram in a row after the falling one. The second type of signals occurs above the zero line. There we need only two rising AC bars in a row after the falling one to create the signal. The signal bar is the last green bar in this sequence. The strategy places the buy stop order one tick above the candle's high, which corresponds to the signal bar on AC indicator.
After that we can have the following scenarios:
Price hit the order on the next candle in this case strategy opened long with this price.
Price doesn't hit the order price, the next candle set lower high. If current AC bar is increasing buy stop order changes by the script to the high of this new bar plus one tick. This procedure repeats until price finally hit buy order or current AC bar become decreasing. In the second case buy order cancelled and strategy wait for the next AC signal.
If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. All open trades are closed when the trend shifts to a downtrend, as determined by the combination of the Alligator and Fractals described earlier.
Why we use AC signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC bars after period of falling AC bars indicates the high probability of local pull back end and there is a high chance to open long trade in the direction of the most likely main uptrend. The numbers of rising bars are different for the different AC values (below or above zero line). This is needed because if AC below zero line the local downtrend is likely to be stronger and needs more rising bars to confirm that it has been changed than if AC is above zero.
Why strategy use only 10% per signal? Sometimes we can see the false signals which appears on sideways. Not risking that much script use only 10% per signal. If the first long trade has been open and price continue going up and our trend approximation by Alligator and Fractals is uptrend, strategy add another one 10% of capital to every next AC signal while number of active trades no more than 5. This capital allocation allows to take part in long trades when current uptrend is likely to be strong and use only 10% of capital when there is a high probability of sideways.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.11.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 10%
Maximum Single Position Loss: -5.15%
Maximum Single Profit: +24.57%
Net Profit: +2108.85 USDT (+21.09%)
Total Trades: 111 (36.94% win rate)
Profit Factor: 2.391
Maximum Accumulated Loss: 367.61 USDT (-2.97%)
Average Profit per Trade: 19.00 USDT (+1.78%)
Average Trade Duration: 75 hours
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 3h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
