Median / Averages from Lower Time-Frame TicksI've added/created this to give me a more accurate idea of candle movements - I use the MEDIAN average of a candle, which gives me a more accurate "description" of where the candle spent most of it's time 'hovering', over that time frame. The beauty of this is how it REDUCES NOISE, espeicially long wicks, or candles that spike at the moment of a close, skewing a 'normalized' candle's result.
Due to how the Median Calculation works, changing the 'candle timeframe' in options will have no effect - that is available as an option for some of the more traditional MA's, which you can toggle between in the settings... it can also display traditional MA's - SMA, HMA, WMA, and the HLC/3 which I was using up until this point.
This is a 'Line Chart' version of this indicator; I intend to update it with a 'normalized', custom drawn candle based on this method.
The MEDIAN of a candle is a value based on the following;
it lines all values up over a time frame, then takes the value closest to the centre of the array as the 'median'. I'll provide a working example.
imagine we have a candle with 5 values;
it opens at 2, spikes up to 1, spikes down to 10, then spends the entire time hovering at 3 and 4 until it's close. Our array looks like this;
1,2,3,4,100
now, the "average" of these candles is (1+2+3+4+100) / 5 = 22
when the "median" of these candles is the centre value of the array, which is 3.
The candle spent 99% of it's time between 1 and 4 - and spiked for one moment to 100... so now the median gives me a better idea of where the price spent most of it's time, in this instance.
This becomes more skewed, and therefore more accurate, the more values in a candle - and the minute chart on the hourly is a good baseline that gives pretty fair values, without being overly taxing on the machine that needs to make those calculations.
Caveat: I Trade on the Hourly/Daily, so the medians are taken from Minute Candles - thus this will effectively be 'no good' for 1 minute time-frames, (it will simply draw at the Close) but will still have some value down to 15 minute, or even 5 minute charts.
Скользящие средние
ORB-5Min + Adaptive 12/48 EMA + PDH/PDL
Overview:
This indicator combines the 5-Minute Opening Range Breakout (ORB), Adaptive 12/48 Exponential Moving Averages (EMAs), and Previous Day High/Low (PDH/PDL) levels to help traders identify key intraday levels and market trends.
Key Components and Logic:
5-Minute Opening Range Breakout (ORB):
Displays the high and low from the first 5-minute candle of the trading session.
Includes customizable opacity for the range fill.
Helps traders spot breakout opportunities and key support/resistance zones.
Adaptive 12/48 EMA System:
Displays EMAs for 9, 12, 48, and 200 periods.
The 12 EMA changes color based on whether the price is entirely above or below it.
The 48 EMA changes color depending on its relationship with the 12 EMA.
Provides dynamic trend identification and potential entry/exit signals.
Previous Day High/Low (PDH/PDL):
Displays the previous day’s high and low levels.
Useful for tracking key intraday support/resistance levels and potential reversal points.
Summary:
This script stands out by blending three popular intraday tools into a single comprehensive indicator. The combined visualization provides a layered market context that assists traders in making informed decisions quickly. The color-adaptive EMAs add clarity to trend direction, while the ORB and PDH/PDL levels highlight significant price zones for breakout or reversal trades.
How to Use:
Breakout Trades: Watch for price breaks above the ORB high or below the ORB low, especially when supported by EMA trends.
Trend Confirmation: Use the color-adaptive 12/48 EMA system to gauge momentum and market direction.
Reversal or Continuation: Observe how price reacts around PDH/PDL levels, especially if confluence with EMAs occurs.
This indicator is suitable for day traders seeking a clear and efficient way to track market structure, identify trends, and spot potential trade opportunities during regular market hours.
PumpC CBC EMAs + VWAPPumpC CBC EMAs + VWAP Indicator for Tradingview
Introduction
This is an indicator for the Candle By Candle (CBC) Flip strategy , based on the CBC Flip concept taught by MapleStax and inspired by the original CBC Flip indicator by AsiaRoo . The CBC Flip strategy is a simple yet effective approach to gauge if bulls or bears are in control for any given candle.
The logic behind the CBC Flip is as follows:
Bullish Flip : If the most recent candle’s close is above the previous candle’s high, bulls have taken control.
Bearish Flip : If the most recent candle’s close is below the previous candle’s low, bears are now in control.
No Flip : If neither condition is met, the previously dominant side (bulls or bears) remains in control until one of these conditions is satisfied, flipping the market sentiment—hence the name CBC Flip .
The PumpC CBC EMAs + VWAP Indicator enhances this simple strategy by adding trend confirmation filters using EMAs and VWAP , along with time-restricted signal generation and fully customizable alerts.
What Does This Indicator Do?
The PumpC CBC EMAs + VWAP Indicator helps traders identify CBC Flips to spot potential trend continuations or reversals. It combines candlestick logic , trend filters , and time-based restrictions to provide high-probability trade signals.
CBC Flip Detection
Bullish Flip : Current close is above the previous candle’s high.
Bearish Flip : Current close is below the previous candle’s low.
Strict Flips : Require a liquidity sweep for higher accuracy.
All Flips : Looser conditions that generate more frequent signals.
EMA and VWAP Trend Confirmation (Optional)
This filter ensures that long signals only trigger when the Slow EMA is above the VWAP , confirming an upward trend. For short signals, the Slow EMA must be below the VWAP.
Time-Based Filtering
The indicator allows you to set a specific trading window (e.g., 9:00 AM to 3:00 PM), helping you avoid low-volume or high-risk periods.
Visual Labels and Alerts
Labels : Arrows (▲ for long and ▼ for short) mark CBC Flip points on the chart.
Alerts : Fully customizable notifications for each signal type, based on your chosen filters.
Key Features
CBC Flip Detection : Identify potential reversals and trend continuations.
Strict vs. All Flips : Choose between higher-accuracy strict flips or more frequent all flips.
EMA-to-VWAP Filter : Optional trend confirmation filter to reduce false signals.
Customizable EMAs and VWAP : Configure lengths and colors for visual clarity.
Time-Restricted Signals : Focus on your preferred trading session.
Custom Alerts : Notifications for long and short signals based on filter settings.
Credits and Inspiration
The CBC Flip strategy was created by MapleStax .
This indicator is inspired by the original CBC Flip indicator by AsiaRoo .
Additional enhancements include EMA-to-VWAP filtering , custom alerts , and time-restricted signal generation for a more comprehensive trading experience.
Risks and Disclaimer
This indicator is for educational purposes only and does not constitute financial advice.
Trading involves significant risk, and past performance does not guarantee future results. Always test this indicator in a simulated environment before live trading.
Boilerplate Configurable Strategy [Yosiet]This is a Boilerplate Code!
Hello! First of all, let me introduce myself a little bit. I don't come from the world of finance, but from the world of information and communication technologies (ICT) where we specialize in data processing with the aim of automating it and eliminating all human factors and actors in the processes. You could say that I am an algotrader.
That said, in my journey through trading in recent years I have understood that this world is often shown to be incomplete. All those who want to learn about trading only end up learning a small part of what it really entails, they only seek to learn how to read candlesticks. Therefore, I want to share with the entire community a fraction of what I have really understood it to be.
As a computer scientist, the most important thing is the data, it is the raw material of our work and without data you simply cannot do anything. Entropy is simple: Data in -> Data is transformed -> Data out.
The quality of the outgoing data will directly depend on the incoming data, there is no greater mystery or magic in the process. In trading it is no different, because at the end of the day it is nothing more than data. As we often say, if garbage comes in, garbage comes out.
Most people focus on the results only, on the outgoing data, because in the end we all want the same thing, to make easy money. Very few pay attention to the input data, much less to the process.
Now, I am not here to delude you, because there is no bigger lie than easy money, but I am here to give you a boilerplate code that will help you create strategies where you only have to concentrate on the quality of the incoming data.
To the Point
The code is a strategy boilerplate that applies the technique that you decide to customize for the criteria for opening a position. It already has the other factors involved in trading programmed and automated.
1. The Entry
This section of the boilerplate is the one that each individual must customize according to their needs and knowledge. The code is offered with two simple, well-known strategies to exemplify how the code can be reused for your own benefits.
For the purposes of this post on tradingview, I am going to use the simplest of the known strategies in trading for entries: SMA Crossing
// SMA Cross Settings
maFast = ta.sma(close, length)
maSlow = ta.sma(open, length)
The Strategy Properties for all cases published here:
For Stock TSLA H1 From 01/01/2025 To 02/15/2025
For Crypto XMR-USDT 30m From 01/01/2025 To 02/15/2025
For Forex EUR-USD 5m From 01/01/2025 To 02/15/2025
But the goal of this post is not to sell you a dream, else to show you that the same Entry decision works very well for some and does not for others and with this boilerplate code you only have to think of entries, not exits.
2. Schedules, Days, Sessions
As you know, there are an infinite number of markets that are susceptible to the sessions of each country and the news that they announce during those sessions, so the code already offers parameters so that you can condition the days and hours of operation, filter the best time parameters for a specific market and time frame.
3. Data Filtering
The data offered in trading are numerical series presented in vectors on a time axis where an endless number of mathematical equations can be applied to process them, with matrix calculation and non-linear regressions being the best, in my humble opinion.
4. Read Fundamental Macroeconomic Events, News
The boilerplate has integration with the tradingview SDK to detect when news will occur and offers parameters so that you can enable an exclusion time margin to not operate anything during that time window.
5. Direction and Sense
In my experience I have found the peculiarity that the same algorithm works very well for a market in a time frame, but for the same market in another time frame it is only a waste of time and money. So now you can easily decide if you only want to open LONG, SHORT or both side positions and know how effective your strategy really is.
6. Reading the money, THE PURPOSE OF EVERYTHING
The most important section in trading and the reason why many clients usually hire me as a financial programmer, is reading and controlling the money, because in the end everyone wants to win and no one wants to lose. Now they can easily parameterize how the money should flow and this is the genius of this boilerplate, because it is what will really decide if an algorithm (Indicator: A bunch of math equations) for entries will really leave you good money over time.
7. Managing the Risk, The Ego Destroyer
Many trades, little money. Most traders focus on making money and none of them know about statistics and the few who do know something about it, only focus on the winrate. Well, with this code you can unlock what really matters, the true success criteria to be able to live off of trading: Profit Factor, Sortino Ratio, Sharpe Ratio and most importantly, will you really make money?
8. Managing Emotions
Finally, the main reason why many lose money is because they are very bad at managing their emotions, because with this they will no longer need to do so because the boilerplate has already programmed criteria to chase the price in a position, cut losses and maximize profits.
In short, this is a boilerplate code that already has the data processing and data output ready, you only have to worry about the data input.
“And so the trader learned: the greatest edge was not in predicting the storm, but in building a boat that could not sink.”
DISCLAIMER
This post is intended for programmers and quantitative traders who already have a certain level of knowledge and experience. It is not intended to be financial advice or to sell you any money-making script, if you use it, you do so at your own risk.
TASC 2025.03 A New Solution, Removing Moving Average Lag█ OVERVIEW
This script implements a novel technique for removing lag from a moving average, as introduced by John Ehlers in the "A New Solution, Removing Moving Average Lag" article featured in the March 2025 edition of TASC's Traders' Tips .
█ CONCEPTS
In his article, Ehlers explains that the average price in a time series represents a statistical estimate for a block of price values, where the estimate is positioned at the block's center on the time axis. In the case of a simple moving average (SMA), the calculation moves the analyzed block along the time axis and computes an average after each new sample. Because the average's position is at the center of each block, the SMA inherently lags behind price changes by half the data length.
As a solution to removing moving average lag, Ehlers proposes a new projected moving average (PMA) . The PMA smooths price data while maintaining responsiveness by calculating a projection of the average using the data's linear regression slope.
The slope of linear regression on a block of financial time series data can be expressed as the covariance between prices and sample points divided by the variance of the sample points. Ehlers derives the PMA by adding this slope across half the data length to the SMA, creating a first-order prediction that substantially reduces lag:
PMA = SMA + Slope * Length / 2
In addition, the article includes methods for calculating predictions of the PMA and the slope based on second-order and fourth-order differences. The formulas for these predictions are as follows:
PredictPMA = PMA + 0.5 * (Slope - Slope ) * Length
PredictSlope = 1.5 * Slope - 0.5 * Slope
Ehlers suggests that crossings between the predictions and the original values can help traders identify timely buy and sell signals.
█ USAGE
This indicator displays the SMA, PMA, and PMA prediction for a specified series in the main chart pane, and it shows the linear regression slope and prediction in a separate pane. Analyzing the difference between the PMA and SMA can help to identify trends. The differences between PMA or slope and its corresponding prediction can indicate turning points and potential trade opportunities.
The SMA plot uses the chart's foreground color, and the PMA and slope plots are blue by default. The plots of the predictions have a green or red hue to signify direction. Additionally, the indicator fills the space between the SMA and PMA with a green or red color gradient based on their differences:
Users can customize the source series, data length, and plot colors via the inputs in the "Settings/Inputs" tab.
█ NOTES FOR Pine Script® CODERS
The article's code implementation uses a loop to calculate all necessary sums for the slope and SMA calculations. Ported into Pine, the implementation is as follows:
pma(float src, int length) =>
float PMA = 0., float SMA = 0., float Slope = 0.
float Sx = 0.0 , float Sy = 0.0
float Sxx = 0.0 , float Syy = 0.0 , float Sxy = 0.0
for count = 1 to length
float src1 = src
Sx += count
Sy += src
Sxx += count * count
Syy += src1 * src1
Sxy += count * src1
Slope := -(length * Sxy - Sx * Sy) / (length * Sxx - Sx * Sx)
SMA := Sy / length
PMA := SMA + Slope * length / 2
However, loops in Pine can be computationally expensive, and the above loop's runtime scales directly with the specified length. Fortunately, Pine's built-in functions often eliminate the need for loops. This indicator implements the following function, which simplifies the process by using the ta.linreg() and ta.sma() functions to calculate equivalent slope and SMA values efficiently:
pma(float src, int length) =>
float Slope = ta.linreg(src, length, 0) - ta.linreg(src, length, 1)
float SMA = ta.sma(src, length)
float PMA = SMA + Slope * length * 0.5
To learn more about loop elimination in Pine, refer to this section of the User Manual's Profiling and optimization page.
CSR Ultimate (Final)This indicator calculates and displays a "Candle Strength Ratio" (CSR) to help you gauge bullish versus bearish momentum on a given timeframe. Here’s what it does:
*Multiple Calculation Methods:*
*You can choose among three different methods:*
-Classic CSR: Compares the difference between the upper and lower parts of the candle relative to its total range.
-Weighted Body CSR: Gives more weight to the candle’s body relative to its wicks.
-Close-Focused CSR: Focuses on the net movement from open to close relative to the full range.
*Optional Enhancements:*
The indicator allows you to enable additional features to refine it:
-Volume Weighting: Adjusts the CSR based on the ratio of current volume to a moving average of volume, so a candle on higher-than-average volume might carry more weight.
-ATR Normalization: Normalizes the CSR using the Average True Range (ATR) to account for market volatility.
-Multi-Bar Averaging: Averages the CSR over a specified number of bars to smooth out noise.
-RSI Filter: Optionally checks an RSI condition (bullish if RSI > 50 or bearish if RSI < 50) to help filter out signals that might not be supported by overall momentum.
*Visual and Alert Features:*
The indicator plots the CSR line with color coding (green for bullish, red for bearish) and draws horizontal threshold lines. It also adjusts the chart background color when the CSR exceeds defined bullish or bearish levels and provides alerts when these thresholds are crossed.
CBC Strategy with Trend Confirmation & Separate Stop LossCBC Flip Strategy with Trend Confirmation and ATR-Based Targets
This strategy is based on the CBC Flip concept taught by MapleStax and inspired by the original CBC Flip indicator by AsiaRoo. It focuses on identifying potential reversals or trend continuation points using a combination of candlestick patterns (CBC Flips), trend filters, and a time-based entry window. This approach helps traders avoid false signals and increase trade accuracy.
What is a CBC Flip?
The CBC Flip is a candlestick-based pattern that identifies moments when the market is likely to change direction or strengthen its trend. It checks for a shift in price behavior between consecutive candles, signaling a bullish (upward) or bearish (downward) move.
However, not all flips are created equal! This strategy differentiates between Strong Flips and All Flips, allowing traders to choose between a more conservative or aggressive approach.
Strong Flips vs. All Flips
Strong Flips
A Strong Flip is a high-probability setup that occurs only after liquidity is swept from the previous candle’s high or low.
What is a liquidity sweep? This happens when the price briefly moves beyond the high or low of the previous candle, triggering stop-losses and trapping traders in the wrong direction. These sweeps often create fuel for the next move, making them powerful reversal signals.
Examples:
Long Setup: The price dips below the previous candle’s low (sweeping liquidity) and then closes higher, signaling a potential bullish move.
Short Setup: The price moves above the previous candle’s high and then closes lower, signaling a potential bearish move.
Why Use Strong Flips?
They provide fewer signals, but the accuracy is generally higher.
Ideal for trending markets where liquidity sweeps often mark key turning points.
All Flips
All Flips are less selective, offering both Strong Flips and additional signals without requiring a liquidity sweep.
This approach gives traders more frequent opportunities but comes with a higher risk of false signals, especially in sideways markets.
Examples:
Long Setup: A CBC flip occurs without sweeping the previous low, but the trend direction is confirmed (slow EMA is still above VWAP).
Short Setup: A CBC flip occurs without sweeping the previous high, but the trend is still bearish (slow EMA below VWAP).
Why Use All Flips?
Provides more frequent entries for active or aggressive traders.
Works well in trending markets but requires caution during consolidation periods.
How This Strategy Works
The strategy combines CBC Flips with multiple filters to ensure better trade quality:
Trend Confirmation: The slow EMA (20-period) must be positioned relative to the VWAP to confirm the overall trend direction.
Long Trades: Slow EMA must be above VWAP (upward trend).
Short Trades: Slow EMA must be below VWAP (downward trend).
Time-Based Filter: Traders can specify trading hours to limit entries to a particular time window, helping avoid low-volume or high-volatility periods.
Profit Target and Stop-Loss:
Profit Target: Defined as a multiple of the 14-period ATR (Average True Range). For example, if the ATR is 10 points and the profit target multiplier is set to 1.5, the strategy aims for a 15-point profit.
Stop-Loss: Uses a dynamic, candle-based stop-loss:
Long Trades: The trade closes if the market closes below the low of two candles ago.
Short Trades: The trade closes if the market closes above the high of two candles ago.
This approach adapts to recent price behavior and protects against unexpected reversals.
Customizable Settings
Strong Flips vs. All Flips: Choose between a more selective or aggressive entry style.
Profit Target Multiplier: Adjust the ATR multiplier to control the distance for profit targets.
Entry Time Range: Define specific trading hours for the strategy.
Indicators and Visuals
Fast EMA (10-Period) – Black Line
Slow EMA (20-Period) – Red Line
VWAP (Volume-Weighted Average Price) – Orange Line
Visual Labels:
▵ (Triangle Up) – Marks long entries (buy signals).
▿ (Triangle Down) – Marks short entries (sell signals).
Credits
CBC Flip Concept: Inspired by MapleStax, who teaches this concept.
Original Indicator: Developed by AsiaRoo, this strategy builds on the CBC Flip framework with additional features for improved trade management.
Risks and Disclaimer
This strategy is for educational purposes only and does not constitute financial advice.
Trading involves significant risk and may result in the loss of capital. Past performance does not guarantee future results. Use this strategy in a simulated environment before applying it to live trading.
MTF- Standard Deviation ChannelWhat Is Standard Deviation?
Standard deviation is a statistical measurement that looks at how far individual points in a dataset are dispersed from the mean of that set. If data points are further from the mean, there is a higher deviation within the data set. It is calculated as the square root of the variance.
Key Takeaways:
Standard deviation measures the dispersion of a dataset relative to its mean.
It is calculated as the square root of the variance.
Standard deviation, in finance, is often used as a measure of the relative riskiness of an asset.
A volatile stock has a high standard deviation, while the deviation of a stable blue-chip stock is usually rather low.
Standard deviation is also used by businesses to assess risk, manage business operations, and plan cash flows based on seasonal changes and volatility.
Source: Investopedia
--------------- UPDATE ---------------
The deviation is calculated automatically. (via stdev function).
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The targeted timeframe is available in the options (recalculation cycle).
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If the selected security is a contract the number of days before expiration is automatically managed, otherwise it will use the 'default' options.
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SMA with Std Dev Bands (Futures/US Stocks RTH)Rolling Daily SMA With Std Dev Bands
Upgrade your technical analysis with Rolling Daily SMA With Std Dev Bands, a powerful indicator that dynamically adjusts to your trading instrument. Whether you’re analyzing futures or US stocks during regular trading hours (RTH), this indicator seamlessly applies the correct logic to calculate a rolling daily Simple Moving Average (SMA) with customizable standard deviation bands for precise trend and volatility tracking.
Key Features:
✅ Automatic Instrument Detection– The indicator automatically recognizes whether you're trading futures or US equities and applies the correct daily lookback period based on your chart’s timeframe.
- Futures: Uses full trading day lengths (e.g., 1380 bars for 1‑minute charts).
- US Stocks (RTH): Uses regular session lengths (e.g., 390 bars for 1‑minute charts).
✅ Rolling Daily SMA (3‑pt Purple Line) – A continuously updated daily moving average, giving you an adaptive trend indicator based on market structure.
✅ Three Standard Deviation Bands (1‑pt White Lines) –
- Customizable multipliers allow you to adjust each band’s width.
- Toggle each band on or off to tailor the indicator to your strategy.
- The inner band area is color-filled: light green when the SMA is rising, light red when falling, helping you quickly identify trend direction.
✅ Works on Any Chart Timeframe – Whether you trade on 1-minute, 3-minute, 5-minute, or 15-minute charts, the indicator adjusts dynamically to provide accurate rolling daily calculations.
# How to Use:
📌 Identify Trends & Volatility Zones – The rolling daily SMA acts as a dynamic trend guide, while the standard deviation bands help spot potential overbought/oversold conditions.
📌 Customize for Precision – Adjust band multipliers and toggle each band on/off to match your trading style.
📌 Trade Smarter – The filled inner band offers instant visual feedback on market momentum, while the outer bands highlight potential breakout zones.
🔹 This is the perfect tool for traders looking to combine trend-following with volatility analysis in an easy-to-use, adaptive indicator.
🚀 Add Rolling Daily SMA With Std Dev Bands to your chart today and enhance your market insights!
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*Disclaimer: This indicator is for informational and educational purposes only and should not be considered financial advice. Always use proper risk management and conduct your own research before trading.*
WaridTR15 Dakika ve Üzeri Periyotlar İçin Önerilen Ayarlar:
EMA Uzunlukları:
Kısa EMA: 9 yerine 12 veya 14 kullanılabilir.
Uzun EMA: 21 yerine 26 veya 50 kullanılabilir.
Golden Cross için 50 EMA ve 200 EMA zaten uzun vadeli trendleri yakalar, bu nedenle değiştirmeye gerek yok.
RSI Uzunluğu:
RSI uzunluğu 14 yerine 21 veya 28 yapılabilir. Bu, daha uzun vadeli aşırı alım/aşırı satım bölgelerini daha doğru tespit eder.
Volume Filtresi:
Volume ortalaması için 20 periyot yerine 50 veya 100 periyot kullanılabilir. Bu, daha uzun vadeli hacim eğilimlerini yakalar.
Ichimoku Parametreleri:
Ichimoku, varsayılan olarak 9-26-52 periyotlarıyla çalışır. Bu, zaten uzun vadeli trendleri yakalamak için uygundur. Ancak, daha uzun periyotlar için:
Tenkan-Sen: 9 yerine 14.
Kijun-Sen: 26 yerine 52.
Senkou Span B: 52 yerine 104.
Power of MovingThe Power of Moving indicator is a multi-moving average indicator designed to help traders identify strong trending conditions by analyzing the alignment and separation of multiple moving averages.
This indicator allows users to select between different types of moving averages (SMA, EMA, SMMA, WMA, VWMA) and plots four configurable moving averages on the chart. The background color dynamically changes when the moving averages are correctly stacked in a bullish (green) or bearish (yellow) formation, with sufficient distance between them. This ensures that trends are not only aligned but also have strong momentum. The indicator also includes alert conditions, notifying traders when the trend direction changes, allowing them to stay ahead of market moves.
This indicator works well in trending markets and should be combined with price action analysis or other confirmation indicators like RSI or volume for optimal results.
G-FRAMA | QuantEdgeBIntroducing G-FRAMA by QuantEdgeB
Overview
The Gaussian FRAMA (G-FRAMA) is an adaptive trend-following indicator that leverages the power of Fractal Adaptive Moving Averages (FRAMA), enhanced with a Gaussian filter for noise reduction and an ATR-based dynamic band for trade signal confirmation. This combination results in a highly responsive moving average that adapts to market volatility while filtering out insignificant price movements.
_____
1. Key Features
- 📈 Gaussian Smoothing – Utilizes a Gaussian filter to refine price input, reducing short-term noise while maintaining responsiveness.
- 📊 Fractal Adaptive Moving Average (FRAMA) – A self-adjusting moving average that adapts its sensitivity to market trends.
- 📉 ATR-Based Volatility Bands – Dynamic upper and lower bands based on the Average True Range (ATR), improving signal reliability.
- ⚡ Adaptive Trend Signals – Automatically detects shifts in market structure by evaluating price in relation to FRAMA and its ATR bands.
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2. How It Works
- Gaussian Filtering
The Gaussian function preprocesses the price data, giving more weight to recent values and smoothing fluctuations. This reduces whipsaws and allows the FRAMA calculation to focus on meaningful trend developments.
- Fractal Adaptive Moving Average (FRAMA)
Unlike traditional moving averages, FRAMA uses fractal dimension calculations to adjust its smoothing factor dynamically. In trending markets, it reacts faster, while in sideways conditions, it reduces sensitivity, filtering out noise.
- ATR-Based Volatility Bands
ATR is applied to determine upper and lower thresholds around FRAMA:
- 🔹 Long Condition: Price closes above FRAMA + ATR*Multiplier
- 🔻 Short Condition: Price closes below FRAMA - ATR
This setup ensures entries are volatility-adjusted, preventing premature exits or false signals in choppy conditions.
_____
3. Use Cases
✔ Adaptive Trend Trading – Automatically adjusts to different market conditions, making it ideal for both short-term and long-term traders.
✔ Noise-Filtered Entries – Gaussian smoothing prevents false breakouts, allowing for cleaner entries.
✔ Breakout & Volatility Strategies – The ATR bands confirm valid price movements, reducing false signals.
✔ Smooth but Aggressive Shorts – While the indicator is smooth in overall trend detection, it reacts aggressively to downside moves, making it well-suited for traders focusing on short opportunities.
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4. Customization Options
- Gaussian Filter Settings – Adjust length & sigma to fine-tune the smoothness of the input price. (Default: Gaussian length = 4, Gaussian sigma = 2.0, Gaussian source = close)
- FRAMA Length & Limits – Modify how quickly FRAMA reacts to price changes.(Default: Base FRAMA = 20, Upper FRAMA Limit = 8, Lower FRAMA Limit = 40)
- ATR Multiplier – Control how wide the volatility bands are for long/short entries.(Default: ATR Length = 14, ATR Multiplier = 1.9)
- Color Themes – Multiple visual styles to match different trading environments.
_____
Conclusion
The G-FRAMA is an intelligent trend-following tool that combines the adaptability of FRAMA with the precision of Gaussian filtering and volatility-based confirmation. It is versatile across different timeframes and asset classes, offering traders an edge in trend detection and trade execution.
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🔹 Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
C&P MA/KT Compare & Predict Moving average / Current market price.
This is simple table indicator. Located at right-top of chart. Shows which way will MA's head go.
I made this indicator for automate candle countings & compare price. With this friend, you will be know trend more faster then waiting traditional MA golden / dead crossing.
In factory settings, current market price will be compared with closing price of the candle, corresponding to previous number 7, 25, 60, 99, 130, 240. If Current market price is lower then past, the box for the corresponding MA is highlighted in red and appears as Down. In opposite case, it will be highlighted in green and indicates Up.
MA와 시장가 차이로 MA의 머리 방향을 예측해주는 간단한 지표입니다.
수동으로 캔들 되돌려서 종가와 시장가 비교하는게 너무 번거로워서 자동화를 위해 제작되었습니다. 해당 지표를 이용하시면 MA의 골든/데드 크로스를 기다리는 것보다 더 빠른 예측이 가능합니다.
차트 우측 상단에 예측 값이 표시되며, 기본 설정에선 7, 25, 60, 99, 130, 240개 전 캔들의 종가와 시장가가 비교됩니다. 시장가가 비교 값보다 높을 때는 초록 배경에 Up 텍스트가 출력됩니다. 반대의 경우엔 빨간색 배경에 Down 표기가 나타납니다.
Smart MA Crossover BacktesterSmart MA Crossover Backtester - Strategy Overview
Strategy Name: Smart MA Crossover Backtester
Published on: TradingView
Applicable Markets: Works well on crypto (tested profitably on ETH)
Strategy Concept
The Smart MA Crossover Backtester is an improved Moving Average (MA) crossover strategy that incorporates a trend filter and an ATR-based stop loss & take profit mechanism for better risk management. It aims to capture trends efficiently while reducing false signals by only trading in the direction of the long-term trend.
Core Components & Logic
Moving Averages (MA) for Entry Signals
Fast Moving Average (9-period SMA)
Slow Moving Average (21-period SMA)
A trade signal is generated when the fast MA crosses the slow MA.
Trend Filter (200-period SMA)
Only enters long positions if price is above the 200-period SMA (bullish trend).
Only enters short positions if price is below the 200-period SMA (bearish trend).
This helps in avoiding counter-trend trades, reducing whipsaws.
ATR-Based Stop Loss & Take Profit
Uses the Average True Range (ATR) with a multiplier of 2 to calculate stop loss.
Risk-Reward Ratio = 1:2 (Take profit is set at 2x ATR).
This ensures dynamic stop loss and take profit levels based on market volatility.
Trading Rules
✅ Long Entry (Buy Signal):
Fast MA (9) crosses above Slow MA (21)
Price is above the 200 MA (bullish trend filter active)
Stop Loss: Below entry price by 2× ATR
Take Profit: Above entry price by 4× ATR
✅ Short Entry (Sell Signal):
Fast MA (9) crosses below Slow MA (21)
Price is below the 200 MA (bearish trend filter active)
Stop Loss: Above entry price by 2× ATR
Take Profit: Below entry price by 4× ATR
Why This Strategy Works Well for Crypto (ETH)?
🔹 Crypto markets are highly volatile – ATR-based stop loss adapts dynamically to market conditions.
🔹 Long-term trend filter (200 MA) ensures trading in the dominant direction, reducing false signals.
🔹 Risk-reward ratio of 1:2 allows for profitable trades even with a lower win rate.
This strategy has been tested on Ethereum (ETH) and has shown profitable performance, making it a strong choice for crypto traders looking for trend-following setups with solid risk management. 🚀
HMA 4H and 15M overlay Notes:
HMA Calculation: We calculate three HMAs for the 15-minute timeframe (ma1, ma2, ma3) based on the settings from your original script, but only ma3 is plotted to keep it consistent with your initial setup.
4-hour HMA: An additional HMA is calculated for the 4-hour timeframe (hma4h) using the hma3 period since it was the longest in your original setup, which might be suitable for a 4-hour chart comparison.
Plotting: Both the 15-minute ma3 and 4-hour hma4h HMAs are plotted with distinct colors for easy visual differentiation.
Timeframe Security: request.security() is used to fetch data from different timeframes. Remember, using request.security() with historical data can sometimes lead to misalignments or delayed data, especially during live trading.
This script will overlay the 15-minute HMA (using the ma3 from your settings) with a new 4-hour HMA on any chart timeframe you apply it to. Remember, if you're looking at a chart timeframe that's not 15 minutes or 4 hours, the HMAs might appear less smooth or aligned due to how Pine Script handles different timeframes.
Range Filtered Trend Signals [AlgoAlpha]Introducing the Range Filtered Trend Signals , a cutting-edge trading indicator designed to detect market trends and ranging conditions with high accuracy. This indicator leverages a combination of Kalman filtering and Supertrend analysis to smooth out price fluctuations while maintaining responsiveness to trend shifts. By incorporating volatility-based range filtering, it ensures traders can differentiate between trending and ranging conditions effectively, reducing false signals and enhancing trade decision-making.
:key: Key Features
:white_check_mark: Kalman Filter Smoothing – Minimizes market noise while preserving trend clarity.
:bar_chart: Supertrend Integration – A dynamic trend-following mechanism for spotting reversals.
:fire: Volatility-Based Range Detection – Detects trending vs. ranging conditions with precision.
:art: Color-Coded Trend Signals – Instantly recognize bullish, bearish, and ranging market states.
:gear: Customizable Inputs – Fine-tune Kalman parameters, Supertrend settings, and color themes to match your strategy.
:bell: Alerts for Trend Shifts – Get real-time notifications when market conditions change!
:tools: How to Use
Add the Indicator – Click the star icon to add it to your TradingView favorites.
Analyze Market Conditions – Observe the color-coded signals and range boundaries to identify trend strength and direction.
Use Alerts for Trade Execution – Set alerts for trend shifts and market conditions to stay ahead without constantly monitoring charts.
:mag: How It Works
The Kalman filter smooths price fluctuations by dynamically adjusting its weighting based on market volatility. It helps remove noise while keeping the signal reactive to trend changes. The Supertrend calculation is then applied to the filtered price data, providing a robust trend-following mechanism. To enhance signal accuracy, a volatility-weighted range filter is incorporated, creating upper and lower boundaries that define trend conditions. When price breaks out of these boundaries, the indicator confirms trend continuation, while signals within the range indicate market consolidation. Traders can leverage this tool to enhance trade timing, filter false breakouts, and identify optimal entry/exit zones.
Adaptive 12/48 EMAThe Adaptive 12/48 EMA is a trend-following indicator that dynamically changes color based on price positioning relative to key exponential moving averages (EMAs).
EMA Calculation:
The script calculates three EMAs—9 EMA (white), 12 EMA (adaptive color), and 48 EMA (adaptive color).
Trend Confirmation:
The 12 EMA turns green when the price (open, close, and low) is fully above it, indicating bullish momentum. The 12 EMA turns red when the price is fully below it, signaling bearish conditions.
Long-Term Trend (48 EMA):
The 48 EMA turns purple when the 12 EMA is above it, confirming an uptrend. The 48 EMA turns pink when the 12 EMA is below it, confirming a downtrend. Both EMAs turn gray when there's no clear trend.
How to Benefit from It:
Trend Trading: Use green/red shifts in the 12 EMA to time entries in the direction of momentum.
Trend Strength Confirmation: The 48 EMA color change helps determine the longer-term trend direction.
Confluence with Other Indicators: Works well with volume indicators or RSI for confirmation before entering trades.
This indicator provides a clear visual representation of trend strength and direction, helping traders make informed decisions based on price structure.
Responsive Moving Average with Trend Detection - MissouriTimThis indicator calculates a responsive moving average (RMA) that dynamically adjusts its sensitivity based on market volatility. This indicator is more responsive that SMAs, EMAs, WMAs, and HMAs. Here's how it functions:
Dynamic Length Adjustment: Utilizes the Average True Range (ATR) to adjust the length of the moving average. In times of increased volatility, the length decreases to make the average more responsive to price changes, and in quieter markets, it increases to reduce noise.
Responsive and Smoothed Moving Averages:
Responsive EMA: An initial Exponential Moving Average (EMA) is calculated with a dynamically adjusted length for responsiveness.
Smoothing: A secondary layer of smoothing is applied to this responsive EMA to further smooth out price fluctuations.
Trend Detection:
Detects trends by comparing the current smoothed EMA with its previous values:
Uptrend is identified when the current smoothed EMA is higher than the last two periods.
Downtrend is recognized when the current smoothed EMA is lower than the last two periods.
Consolidation occurs when neither an uptrend nor a downtrend is present.
Visual Representation:
The moving average line changes color:
Green for an uptrend.
Red for a downtrend.
Orange for consolidation.
Significant Trend Labels:
Labels are displayed when there's a significant change in the moving average:
Uptrend Labels appear when the EMA increases by more than the user-defined "Uptrend Label on % Change" threshold, placed at the high of the bar with green background.
Downtrend Labels are shown when the EMA decreases by more than the "Downtrend Label on % Change" threshold, positioned at the low of the bar with a red background.
Users can enable or disable these labels, and the thresholds for labeling uptrends and downtrends can be adjusted separately to match market conditions or user preferences.
This indicator is tailored for traders needing a moving average that adapts to market dynamics while providing clear visual feedback on significant trend changes via color-coded lines and labels.
Support and Resistance with Buy/Sell SignalsSwing Highs and Lows:
The script identifies swing highs and lows using the ta.highest and ta.lowest functions over a user-defined swing_length period.
Swing highs are treated as resistance levels.
Swing lows are treated as support levels.
Buy Signal:
A buy signal is generated when the price closes above the resistance level (ta.crossover(close, swing_high)).
Sell Signal:
A sell signal is generated when the price closes below the support level (ta.crossunder(close, swing_low)).
Plotting:
Support and resistance levels are plotted on the chart.
Buy and sell signals are displayed as labels on the chart.
Background Highlighting:
The background is highlighted in green for buy signals and red for sell signals (optional).
IB & Hammer at SMA(20,50|200)IB & Hammer at SMA (20, 50, 200) Breakout/Breakdown Indicator
Overview:
The IB (Inside Bar) & Hammer at SMA Breakout/Breakdown Indicator is designed to identify breakout and breakdown opportunities using Inside Bars (IB) in combination with Simple Moving Averages (SMA 20, 50, 200) as key trend filters. This indicator is useful for traders looking to catch momentum moves after consolidation phases, confirming the trend direction with moving averages.
Indicator Logic:
Inside Bar (IB) Detection:
An Inside Bar is a candlestick that is completely within the range of the previous candle (i.e., lower high and higher low).
Inside Bars indicate consolidation, suggesting a potential breakout.
SMA Trend Confirmation:
The script uses three moving averages (SMA 20, 50, 200) to determine the trend direction.
Bullish trend: Price is above the 50 & 200 SMAs.
Bearish trend: Price is below the 50 & 200 SMAs.
The 20 SMA is used as a dynamic short-term momentum filter.
Breakout & Breakdown Conditions:
Breakout: When price breaks above the Inside Bar’s high, and the trend is bullish (above key SMAs).
Breakdown: When price breaks below the Inside Bar’s low, and the trend is bearish (below key SMAs).
Alerts can be set to notify traders of potential trade opportunities.
Features:
✅ Identifies Inside Bars (consolidation zones).
✅ Uses SMA (20, 50, 200) for trend confirmation.
✅ Breakout/Breakdown signals based on Inside Bar structure.
✅ Customizable Moving Averages & Alerts.
✅ Visual markers for easy trade identification.
How to Use:
Confirm Trend Direction:
If the price is above SMA 50 & 200, look for breakout trades.
If the price is below SMA 50 & 200, look for breakdown trades.
Watch for Inside Bars:
The script highlights Inside Bars with a specific color (configurable).
These bars indicate a low-volatility phase, preparing for a breakout.
Trade on Breakout/Breakdown:
Breakout: Enter long when the price breaks above the Inside Bar’s high (bullish trend).
Breakdown: Enter short when the price breaks below the Inside Bar’s low (bearish trend).
MTF Ichimoku Conversion Line SMA with H/L mirrored levelsWelcome to MTF Ichimoku Conversion Line with SMA Highs/Lows Extended Lines!
1. Overview
It is designed to provide a multi-timeframe view of market trends and potential support/resistance levels by obtaining a Simple Moving Average (SMA) of the Conversion Line of Ichimoku Equibilium (Ichimoku Kinko-Hyo), which acts as a substantial trend line on the candlestick chart. The SMA of the conversion line smooths out price fluctuations and indicates the overall trend direction—if the candles are above it, the trend can be read as an uptrend, while below it, the trend can be read as a downtrend.
2. Calculation
The indicator first calculates the Conversion Line (see the description of Ichimoku theory anywhere, e.g., Wikipedia), as the average of the highest high and lowest low over a user-defined period (Conversion Line Length, default is 9, also recommended is 9).
It then retrieves this Conversion Line from a higher timeframe (MTF Timeframe) to add a broader perspective. Using a specified period (SMA Length)., an SMA is computed on this multi-timeframe conversion line. This SMA serves as a trend line that visually represents the prevailing price trend, making it easier to assess market direction.
3. Pivot Highs/low detection and drawing their extensions
In addition, the indicator identifies pivot highs and lows from the SMA data using a defined pivot length. When these pivots occur, horizontal lines are drawn and extended across the chart. These extended lines (drawn in a yellowish color by default) include a full extension, a half extension, and a middle extension line representing the midpoint between the high and low pivot.
4. Mirror lines
The indicator also offers optional mirror line features. When the Mirror Upside option is enabled, five additional lines are drawn above the highest extended yellow line at equal intervals. Similarly, when the Mirror Downside option is enabled, five lines are drawn below the lowest extended yellow line. These light gray mirror lines serve as extra reference levels, which can help identify potential support or resistance zones.
5. Parameters
User parameters include:
- Conversion Line Length: The period used to calculate the conversion line.
- MTF Timeframe: The higher timeframe from which the conversion line is obtained.
- SMA Length: The period over which the SMA is calculated on the conversion line.
- SMA Mode: A toggle to display either the SMA or the raw conversion line (SMA recommended).
- SMA Line Width: The thickness of the SMA line.
- Pivot Length for SMA Highs/Lows: The period used to detect pivot highs and lows in the SMA.
- Horizontal Extension: Number of bars by which the pivot and extended lines are drawn across the chart
- Colors for High and Low Pivot Lines and Extended Lines: Customizable colors are used to draw the lines.
Mirror Upside and Mirror Downside: These options enable drawing additional mirror lines above and below the extended lines.
- Hide Old Lines: An option to hide previous pivot lines once new ones are drawn for a cleaner chart. Turned on by default.
6. Conclusion
Overall, the Conversion Line SMA in this indicator smooths out the conversion line data and effectively functions as a trend line for the candlestick chart, helping traders visually interpret the underlying market trend. The extended and mirror lines provide further context for potential price reversal or continuation areas, making this a powerful tool for multi-timeframe technical analysis.
Market Phase MAMarket Phase MA is an advanced trend-following indicator designed to provide traders with a dynamically colored moving average that adapts to market conditions. It uses a powerful combination of Average True Range (ATR) and Average Directional Index (ADX) to classify market trends in real-time. The indicator integrates a fully customizable moving average (SMA or EMA) to highlight trend phases clearly and effectively.
Key Features & Advantages:
✔ Adaptive Trend Classification: Detects uptrends, downtrends, and sideways markets using a refined mix of ATR and ADX for more precise trend identification.
✔ Color-Coded Moving Average: The moving average dynamically changes color based on trend classification, providing a clean visual representation of market sentiment.
✔ Advanced ATR & ADX Filtering:
- ATR measures market volatility and identifies ranging periods.
- ADX confirms trend strength, reducing false signals.
- A weighted approach balances ATR and ADX, ensuring reliability.
✔ Fully Customizable Moving Average: Traders can select between SMA and EMA while adjusting the moving average length directly from the settings panel.
✔ Smooth & Responsive Adjustments: The smoothing factor can be fine-tuned to control signal sensitivity and noise reduction, making it suitable for scalping, swing trading, and long-term trend monitoring.
What Makes It Unique:
- Unlike traditional trend indicators, Market Phase MA provides **direct visual feedback** on a moving average rather than using a separate oscillator.
- It **adapts dynamically** to market conditions instead of relying on fixed thresholds.
- The combination of **volatility and trend strength analysis** enhances precision in identifying valid trends.
- Users can optimize **reaction speed vs. reliability** with adjustable parameters for better decision-making.
How to Use It:
- Identify Market Phases: The moving average color shifts based on trend type—**teal** for uptrends, **red** for downtrends, and **gray** for sideways markets.
- Confirm Trend Strength: Persistent color shifts indicate strong trends, while frequent changes may suggest market indecision.
- Use as a Trade Confirmation Tool: Complement it with **support & resistance zones, price action analysis, and volume indicators** for stronger confirmation signals.
Market Phase MA is designed for traders seeking a clear, efficient, and highly adaptable moving average trend detection system. Whether you are a day trader, swing trader, or long-term investor, this indicator will help you identify and follow trends with confidence.
Smoothed Low-Pass Butterworth Filtered Median [AlphaAlgos]Smoothed Low-Pass Butterworth Filtered Median
This indicator is designed to smooth price action and filter out noise while maintaining the dominant trend. By combining a Butterworth low-pass filter with a median-based smoothing approach , it effectively reduces short-term fluctuations, allowing traders to focus on the true market direction.
How It Works
Median Smoothing: The indicator calculates the 50th percentile (median) of closing prices over a customizable period , making it more robust against outliers compared to traditional moving averages.
Butterworth Filtering: A low-pass filter is applied using an approximation of the Butterworth formula , controlled by the Cutoff Frequency , helping to eliminate high-frequency noise while preserving trends.
EMA Refinement: A 7-period EMA is applied to further smooth the signal, providing a more reliable trend representation.
Features
Trend Smoothing: Reduces market noise and highlights the dominant trend.
Dynamic Color Signals: The EMA line changes color to indicate trend strength and direction.
Configurable Parameters: Customize the median length, cutoff frequency, and EMA length to fit your strategy.
Versatile Use Case: Suitable for both trend-following and mean-reversion strategies.
How to Use
Bullish Signal: When the EMA is below the price and rising , indicating upward momentum.
Bearish Signal: When the EMA is above the price and falling , signaling a potential downtrend.
Reversal Zones: Monitor for trend shifts when the color of the EMA changes.
This indicator provides a clear, noise-free view of market trends , making it ideal for traders seeking improved trend identification and entry signals .
