Scalp Tool
This script is primarily intended as a scalping tool.
The theory of the tool is based on the fact that the price always returns to its mean.
Elements used:
1. VWMA as a moving average. VWMA is calculated once based on source close and once based on source open.
2. the bands are not calculated like the Bollinger Band, but only a settlement is calculated for the lower bands based on the Lows and for the upper bands based on the Highs. Thus the bands do not become thicker or thinner, but remain in the same measure to the mean value above or below the price.
3. a volume filter on simple calculation of a MA with deviation. Therefore, it can be identified if a volume breakout has occurred.
4. support and resistance zones which are calculated based on the highs and lows over a certain length.
5. RSI to determine oversold and overbought zones. It also tries to capture the momentum by using a moving average (variable selectable) to filter the signals. The theory is that in an uptrend the RSI does not go below 50 and in a downtrend it does not go above 50.
However, this can be very different depending on the financial instrument.
Explanation of the signals:
The main signal in this indicator Serves for pure short-term trading and is generated purely on the basis of the bands and the RSI.
Only the first bands are taken into account.
Buy signal is generated when the price opens below the lower band 1 and closes above the lower band 1 or the RSI crosses a value of 25 from bottom to top.
Sell signal is generated when the price opens above the Upper Band 1 and closes below the Upper Band 1 or the RSI crosses a value of 75 from top to bottom.
The position should be closed when the price hits the opposite band. Alternatively, it can also be closed at the mean.
Other side signals:
1. breakouts:
The indicator includes 2 support and resistance zones, which differ only in length. For the breakout signals, the short version of the R/S is used. A signal is generated when the price breaks through the zones with increased volume. It is then assumed that the price will continue to follow the breakout.
The values of the S/R are adjustable and marked with "BK".
The value under Threshold 2 defines the volume breakout. 4 is considered as the highest value. The smaller the value, the smaller the volume must be during a breakout.
2. bounce
If the price hits a S/R (here the long variant is used with the designation "Support" or "Resistance") and makes a wick with small volume, the script assumes a bounce and generates a Sell or Buy signal accordingly.
The volume can be defined under "Threshold".
The S/R according to the designation as well.
Combined signals:
If the value of the S/R BK and the S/R is the same and the bounce logic of the S/R BK applies and an RSI signal is also generated, a signal is also plotted.
Here the idea was to get very strong signals for possible swing entries.
4. RSI Signals
The script contains two RSI.
RSI 1:
Bullish signal is generated when the set value is crossed from the bottom to the top.
Bearish signal is generated when the set value is crossed from the top to the bottom.
RSI 2:
Bullish signal is generated when the set value is crossed from the top to the bottom.
Bearish signal is generated when the set value is crossed from bottom to top.
For RSI 2 the theory is taken into account according to the description under Used elements point 5
Optical trend filter:
Also an optical trend filter was generated which fills the bands accordingly.
For this the VWMA is used and the two average values of the band.
Color definition:
Gray = Neutral
Red = Bearish
Green = Bullish
If the mean value is above the VWMA and the mean value based on the closing price is above the mean value based on the open price, the band is colored green. It is a bullish trend
If the mean value is below the VWMA and the mean value based on the closing price is below the mean value based on the open price, the band is colored red.
The band is colored gray if the mean value is correspondingly opposite. A sideways phase is assumed.
The script was developed on the basis of the pair BTCUSD in the 15 minute chart and the settings were defined accordingly on it. The display of S/R for forex pairs does not work correctly and should be hidden. The logic works anyway.
When using the script, all options should first be set accordingly to the asset and tested before trading afterwards. It applies of course also here that there is no 100% guarantee.
Also, a strong breakout leads to false signals and overheating of the indicator.
Bands
Volatility-Based Mean Reversion BandsThe Volatility-Based Mean Reversion Bands indicator is a powerful tool designed to identify potential mean reversion trading opportunities based on market volatility. The indicator consists of three lines: the mean line, upper band, and lower band. These bands dynamically adjust based on the average true range (ATR) and act as reference levels for identifying overbought and oversold conditions.
The calculation of the indicator involves several steps. The average true range (ATR) is calculated using a specified lookback period. The ATR measures the market's volatility by considering the range between high and low prices over a given period. The mean line is calculated as a simple moving average (SMA) of the closing prices over the same lookback period. The upper band is derived by adding the product of the ATR and a multiplier to the mean line, while the lower band is derived by subtracting the product of the ATR and the same multiplier from the mean line.
Interpreting the indicator is relatively straightforward. When the price approaches or exceeds the upper band, it suggests that the market is overbought and may be due for a potential reversal to the downside. On the other hand, when the price approaches or falls below the lower band, it indicates that the market is oversold and may be poised for a potential reversal to the upside. Traders can look for opportunities to enter short positions near the upper band and long positions near the lower band, anticipating the price to revert back towards the mean line.
The bar color and background color play a crucial role in visualizing the indicator's signals and market conditions. Lime-colored bars are used when the price is above the upper band, indicating a potential bearish mean reversion signal. Conversely, fuchsia-colored bars are employed when the price is below the lower band, suggesting a potential bullish mean reversion signal. This color scheme helps traders quickly identify the prevailing market condition and potential reversal zones. The background color complements the bar color by providing further context. Lime-colored background indicates a potential bearish condition, while fuchsia-colored background suggests a potential bullish condition. The transparency level of the background color is set to 80% to avoid obscuring the price chart while still providing a visual reference.
To provide additional confirmation for mean reversion setups, the indicator incorporates the option to use the Relative Strength Index (RSI) as a confluence factor. The RSI is a popular momentum oscillator that measures the speed and change of price movements. When enabled, the indicator checks if the RSI is in overbought territory (above 70) or oversold territory (below 30), providing additional confirmation for potential mean reversion setups.
In addition to visual signals, the indicator includes entry arrows above or below the bars to highlight the occurrence of short or long entries. When the price is above the upper band and the confluence condition is met, a fuchsia-colored triangle-up arrow is displayed above the bar, indicating a potential short entry signal. Similarly, when the price is below the lower band and the confluence condition is met, a lime-colored triangle-down arrow is displayed below the bar, indicating a potential long entry signal.
Traders can customize the indicator's parameters according to their trading preferences. The "Lookback Period" determines the number of periods used in calculating the mean line and the average true range (ATR). Adjusting this parameter can affect the sensitivity and responsiveness of the indicator. Smaller values make the indicator more reactive to short-term price movements, while larger values smooth out the indicator and make it less responsive to short-term fluctuations. The "Multiplier" parameter determines the distance between the mean line and the upper/lower bands. Increasing the multiplier widens the bands, indicating a broader range for potential mean reversion opportunities, while decreasing the multiplier narrows the bands, indicating a tighter range for potential mean reversion opportunities.
It's important to note that the Volatility-Based Mean Reversion Bands indicator is not a standalone trading strategy but rather a tool to assist traders in identifying potential mean reversion setups. Traders should consider using additional analysis techniques and risk management strategies to make informed trading decisions. Additionally, the indicator's performance may vary across different market conditions and instruments, so it's advisable to conduct thorough testing and analysis before integrating it into a trading strategy.
Complete Discrete Fourier Transform ToolkitThis is an expansion from my Discrete Fourier Transform Overlay indicator which offers various features that may be useful for traders wishing to apply frequency analysis or integral transform to their trading. For those unfamiliar with the concept, the discrete Fourier transform decomposes wave or wave-like data into functions depending on frequency. This can be helpful in demonstrating or interpreting trends and periodic frequencies in time-series price data, or oscillating indicators.
This toolkit has the following features:
Fourier bands (deviation cloud): The deviation cloud expresses the uncertainty in the DFT algorithm, as well as the relative change in frequency of the curve.
Fourier supertrend: The supertrend is applied as a product of the DFT algorithm, instead of onto the price data itself. This filters the supertrend from infrequent periodicities. For trading, this means that the supertrend will not be affected by false breakouts or breakdowns. See the image below for an example:
Future updates may include:
Projection of the probabilistic uncertainty principle. In a nutshell, the concept can be used to project uncertainties forwards through price data to forecast the path of least resistance, or, the most probable frequency.
Machine learning capabilities. Justin Doherty has done the Pine Script community a great service in introducing kNN algorithms with Lorentzian distance calculations; however, this is only the start of relativistic mechanics that can be applied to time series data. The DFT algorithm essentially filters data into its periodicities; this data can be inserted into a relativistic kNN algorithm - Lorenz or otherwise - to possibly improve accuracy.
3 Fib EMAs To Scalp Them AllThe "3 Fib EMAs To Scalp Them All" was made in order to clear up when we should look for shorts, longs, or walk away. Also it can alert you when a trend starts, or when there is a possible reversal. I use it for scalping/day trading in 5m-1h timeframes.
1. EMAs: By default, the indicator uses Fibonacci numbers (21, 55, 233), but you can change them.
2. Color Changes: The color of the Micro EMA line changes depending on its relation to the Mid and Macro EMAs.
When Micro EMA < Mid < Macro EMA, it turns red, indicating a potential bearish trend - that's when you should look for shorts
When Micro EMA > Mid > Macro EMA, it turns green, indicating a potential bullish trend - that's when you should look for longs
A white Micro EMA is when you need to take some rest, enjoy your coffee, and avoid overtrading.
3. Signals: The indicator provides visual signals in the form of diamonds and crosses and corresponding alert signals.
A red diamond above the bar signals a potential beginning of a downtrend
A red cross above the bar signals the end of the downtrend and can be used as a signal for a possible reversal up/breakout.
A green diamond below the bar signals a potential beginning of a downtrend,
A green cross below the bar signals the end of the uptrend and can be used as a signal for a possible reversal down/breakout.
4. Alerts: For algo traders and people who prefer to stay away from the monitor... there are alerts for every signal.
Friendly note: Don't blindly follow the signals for your long and short entries. The signals only pop up when the EMA cross value gets a confirmation. A smart move would be to wait for a retracement to the EMA line and use momentum indicators like market cipher B to pinpoint those ideal entry points.
AggBands (v1) [qrsq]The "AggBands" indicator is a custom trading indicator designed to provide a consolidated view of the price action across multiple assets or trading pairs. It combines the price data from multiple tickers and calculates an aggregated price using user-defined weights for each ticker.
The indicator starts by defining the tickers to be included in the aggregation. You can choose from predefined configurations such as "BTC PAIRS," "CRYPTO TOTAL MARKET CAP," "TOP 5 PAIRS," "TOP 5 MEMECOINS," "SPX," "DXY," or "FANG." Each configuration includes specific tickers or indices relevant to the chosen category.
The indicator then fetches the closing, high, and low prices for each ticker and applies the user-defined weights to calculate the aggregated prices. The aggregated prices are normalized within a specified length to provide a consistent scale across different assets or pairs.
Next, the indicator calculates the midpoint, which is the average of the highest high and lowest low of the aggregated prices over a specified aggregation period.
To assess the volatility, the indicator calculates the price range and applies the Average True Range (ATR) indicator to determine the volatility value. The standard deviation is then computed using the price range and aggregation period, with an additional scaling factor applied to the volatility value.
Based on the standard deviation, the indicator generates multiple bands above and below the midpoint. By default, three standard deviation bands are calculated, but the user can choose between one and five bands. The upper and lower bands are smoothed using various moving average (MA) types, such as Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), Volume Weighted Moving Average (VWMA), Volume Weighted Average Price (VWAP), or Arnaud Legoux Moving Average (ALMA). The user can also adjust the length, offset, and sigma parameters for the moving averages.
The indicator can optionally smooth the midpoint, upper bands, and lower bands using a separate set of moving average parameters.
The indicator can be useful for traders and analysts who want to gain a consolidated view of price movements across multiple assets or trading pairs. It helps identify trends, volatility, and potential support and resistance levels based on the aggregated price and standard deviation bands. Traders can use this information to make informed decisions about trading strategies, risk management, and market analysis.
Alpha Fractal BandsWilliams fractals are remarkable support and resistance levels used by many traders. However, it can sometimes be challenging to use them frequently and get confirmation from other oscillators and indicators. With the new "Alpha Fractal Bands", a unique blend of Williams Fractals and Bollinger Bands emerges, offering a fresh perspective. Extremes can be utilized as price reversals or for taking profits. I look forward to hearing your thoughts. Best regards... Happy trading!
An easy solution for long positions is to:
Identify a bullish trend or a potential entry point for a long position.
Set a stop-loss order to limit potential losses if the trade goes against you.
Determine a target price or take-profit level to lock in profits.
Consider using technical indicators or analysis tools to confirm the strength of the bullish trend.
Regularly monitor the trade and make necessary adjustments based on market conditions.
An easy solution for short positions could be to follow these steps:
Identify a bearish trend or a potential entry point for a short position.
Set a stop-loss order to limit potential losses if the trade goes against you.
Determine a target price or take-profit level to lock in profits.
Consider using technical indicators or analysis tools to confirm the strength of the bearish trend.
Regularly monitor the trade and make necessary adjustments based on market conditions.
Remember, it's important to conduct thorough research and analysis before entering any trade and to manage your risk effectively.
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Ultimate Trend ChannelThe "Ultimate Trend Channel" indicator is a comprehensive trend analysis tool that calculates and displays a series of upper and lower bands based on user-defined input lengths. It uses linear regression and standard deviation to determine these bands for each of the 21 different group lengths. The indicator then computes the averages of these upper and lower bands, as well as the average of all the bands combined.
The visualization on the chart includes the plotting of the average upper and lower bands, with the space between these bands shaded for easy visualization of the overall trend. Additionally, the average of all the bands, referred to as the "Ultimate Trend Line," is also plotted on the chart.
This indicator provides a robust way of assessing market trends and volatility over varying periods, which can be extremely useful for both short-term and long-term trading strategies.
Strongest TrendlineUnleashing the Power of Trendlines with the "Strongest Trendline" Indicator.
Trendlines are an invaluable tool in technical analysis, providing traders with insights into price movements and market trends. The "Strongest Trendline" indicator offers a powerful approach to identifying robust trendlines based on various parameters and technical analysis metrics.
When using the "Strongest Trendline" indicator, it is recommended to utilize a logarithmic scale . This scale accurately represents percentage changes in price, allowing for a more comprehensive visualization of trends. Logarithmic scales highlight the proportional relationship between prices, ensuring that both large and small price movements are given due consideration.
One of the notable advantages of logarithmic scales is their ability to balance price movements on a chart. This prevents larger price changes from dominating the visual representation, providing a more balanced perspective on the overall trend. Logarithmic scales are particularly useful when analyzing assets with significant price fluctuations.
In some cases, traders may need to scroll back on the chart to view the trendlines generated by the "Strongest Trendline" indicator. By scrolling back, traders ensure they have a sufficient historical context to accurately assess the strength and reliability of the trendline. This comprehensive analysis allows for the identification of trendline patterns and correlations between historical price movements and current market conditions.
The "Strongest Trendline" indicator calculates trendlines based on historical data, requiring an adequate number of data points to identify the strongest trend. By scrolling back and considering historical patterns, traders can make more informed trading decisions and identify potential entry or exit points.
When using the "Strongest Trendline" indicator, a higher Pearson's R value signifies a stronger trendline. The closer the Pearson's R value is to 1, the more reliable and robust the trendline is considered to be.
In conclusion, the "Strongest Trendline" indicator offers traders a robust method for identifying trendlines with significant predictive power. By utilizing a logarithmic scale and considering historical data, traders can unleash the full potential of this indicator and gain valuable insights into price trends. Trendlines, when used in conjunction with other technical analysis tools, can help traders make more informed decisions in the dynamic world of financial markets.
TrueLevel BandsTrueLevel Bands is a powerful trading indicator that employs linear regression and standard deviation to create dynamic, envelope-style bands around the price action of a financial instrument. These bands are designed to help traders identify potential support and resistance levels, trend direction, and volatility.
The TrueLevel Bands indicator consists of multiple envelope bands, each constructed using different timeframes or lengths, and a multiple (mult) factor. The multiple factor determines the width of the bands by adjusting the number of standard deviations from the linear regression line.
Key Features of TrueLevel Bands
1. Multi-Timeframe Analysis: Unlike traditional moving average-based indicators, TrueLevel Bands allow traders to incorporate multiple timeframes into their analysis. This helps traders capture both short-term and long-term market dynamics, offering a more comprehensive understanding of price behavior.
2. Customization: The TrueLevel Bands indicator offers a high level of customization, allowing traders to adjust the lengths and multiple factors to suit their trading style and preferences. This flexibility enables traders to fine-tune the indicator to work optimally with various instruments and market conditions.
3. Adaptive Volatility: By incorporating standard deviation, TrueLevel Bands can automatically adjust to changing market volatility. This feature enables the bands to expand during periods of high volatility and contract during periods of low volatility, providing traders with a more accurate representation of market dynamics.
4. Dynamic Support and Resistance Levels: TrueLevel Bands can help traders identify dynamic support and resistance levels, as the bands adjust in real-time according to price action. This can be particularly useful for traders looking to enter or exit positions based on support and resistance levels.
5. The "Global Trend Line" refers to the average of the bands used to indicate the overall trend.
Why TrueLevel Bands are Different from Classic Moving Averages
TrueLevel Bands differ from conventional moving averages in several ways:
1. Linear Regression: While moving averages are based on simple arithmetic means, TrueLevel Bands use linear regression to determine the centerline. This offers a more accurate representation of the trend and helps traders better assess potential entry and exit points.
2. Envelope Style Bands: Unlike moving averages, which are single lines, TrueLevel Bands form envelope-style bands around the price action. This provides traders with a visual representation of potential support and resistance levels, trend direction, and volatility.
3. Multi-Timeframe Analysis: Classic moving averages typically focus on a single timeframe. In contrast, TrueLevel Bands incorporate multiple timeframes, enabling traders to capture a broader understanding of market dynamics.
4. Adaptive Volatility: Traditional moving averages do not account for changing market volatility, whereas TrueLevel Bands automatically adjust to volatility shifts through the use of standard deviation.
The TrueLevel Bands indicator is a powerful, versatile tool that offers traders a unique approach to technical analysis. With its ability to adapt to changing market conditions, provide multi-timeframe analysis, and dynamic support and resistance levels, TrueLevel Bands can serve as an invaluable asset to both novice and experienced traders looking to gain an edge in the markets.
BB Squeeze + SuperTrend + Keltner ChannelBollinger Bands and Keltner Channel are two of my favorite channels. When you use them correctly, they can bring great help to your trading.
I like to use Bollinger Bands and Keltner Channels to identify when you can trade and when you can not trade, which is also known as the "squeeze".
When the opening of the Bollinger Bands is very small, it is a range that you can enter a trade, the range is called "Squeeze Zone" or "Trade zone".
When the opening of the Bollinger Bands is very large, it is a range that you cannot enter a trade, because the market fluctuates big when BB's opening is large.
I use two ways to identify when the Bollinger Bands's opening is very small or large, one is the Bollinger Bands entering Keltner Bands and one is using specific ATR ranges,. The first one allows you to identify when the market is squeezing and the second one allows you to identify when the market has entered Squeeze zone, that is, the market is already in a trading range suitable for entering a trade.(see chart.)
When the market is squeezed and you enter the trade, you can also use ATR as the stop loss price of the trade, I recommend using 2 ATR as your stop loss, and I also display them on the chart (see chart).
In addition, I also added SuperTrend to this indicator. SuperTrend is a very suitable for identifying trends. You can use SuperTrend to help you identify whether to go long or short.
This is how I use this indicator(See chart):
1.Only trade when market is in Squeeze Zone. (Thick yellow line in chart)
2.When entry a trade, use 2 ATR as stop loss. (Label in Chart)
3.Use Super trend to know to go long or short.
4.Keltner Channel helps to know when the market is squeezing. (Thin yellow line in chart.)
======== 中文說明 (Chinese Explanation) ========
Bollinger Bands（布林帶）跟 Keltner Channel（肯特納通道）是我最喜歡的兩個通道，當你正確使用它們時，它們可以替你的交易帶來非常大的幫助。
我喜歡用 Bollinger Bands 跟 Keltner Channel 來識別何時可以交易，何時不能交易，這個又稱做“擠壓操作”。當布林帶的開口很小時，便是可以交易的區間，而當布林帶的開口很大時，對我來說此時就是不可以交易的區間，因為此時市場的波動很大。
我使用兩種方式來識別當布林帶開口很小的時候，一種是布林帶進入肯特納通道，一種則使用特定的ATR範圍，前者可以讓你識別市場正在擠壓，後者則可以識別市場已經進入擠壓區間，也就是市場已經處於適合進入交易的交易區間。
當市場進入擠壓之後，而你也進入了交易，你還可以使用ATR來作為交易的止損價格，我建議使用2個ATR 來當作你的止損，而我也將他們顯示在圖表上了（見圖表）。
另外，我還在這個指標中加入了 SuperTrend（超級趨勢），SuperTrend 是一個非常適合用來辨別趨勢的指標，你可以使用 SuperTrend 來幫助你識別要做多還是做空。
這是我使用該指標的方式（見圖表）：
1.僅在市場處於交易區間時進行交易。 （圖中黃色粗線）
2.入場時，使用2個ATR作為止損。 （圖表中的標籤）
3.使用超級趨勢知道做多或做空。
4.Keltner Channel 有助於了解市場何時擠壓。 （圖表中的黃色細線。）
Matrix Momentum Expansion [IkkeOmar]The indicator consists of several features:
Candlestick chart: The indicator plots a candlestick chart based on the input parameters of the user. The candlesticks are colored blue or orange depending on whether the closing price is above or below the upper and lower bands.
Support and Resistance levels: The indicator also plots support and resistance levels based on the CCI (Commodity Channel Index) of the asset's price. These levels are dynamic and change based on the user's input parameters.
Momentum: The indicator calculates the momentum of the market based on the smoothed and standard deviation of the asset's price. It uses this momentum to calculate upper and lower bands that are plotted on the chart.
Warning signals: The indicator can also be used to identify potential warning signals. When the closing price of the asset moves above the upper band, it could indicate that the market is overbought and a potential reversal could occur. Conversely, when the closing price moves below the lower band, it could indicate that the market is oversold and a potential reversal could occur.
Contractions and expansions in the bands can provide important information to traders about potential price movements.
When the bands contract, it indicates that the market is experiencing low volatility and the price is likely to move sideways. During these periods, traders may look for other signals, such as support and resistance levels or price patterns, to determine potential entry and exit points.
On the other hand, when the bands expand, it indicates that the market is experiencing high volatility and the price is likely to move in a particular direction. Traders can use this information to identify potential trend reversals or continuation patterns. When the upper and lower bands move further apart, it indicates that the trend is becoming stronger, while when they move closer together, it indicates that the trend may be weakening.
When the price moves outside of the bands, it can also provide important information to traders. If the price moves above the upper band, it could indicate that the market is overbought and a potential reversal could occur. Conversely, if the price moves below the lower band, it could indicate that the market is oversold and a potential reversal could occur.
Very important note!
When you see contractions, please understand that it's a wonderful opportunity to pivot into position to catch a good trade because we will see an expansion after!
Bollinger Bands - Breakout StrategyThe Bollinger Bands - Breakout Strategy is a trend-following optimized for short-term trading in the crypto market. This strategy employs the Bollinger Bands, a widely recognized technical indicator, as its primary instrument for pinpointing potential trades. It is capable of executing both long and short positions, depending on whether the market is in a spot or futures, and is particularly effective in trending markets.
The strategy boasts a high degree of configurability, allowing users to set the Bollinger Bands period and deviation, trend filter, volatility filter, trade direction filter, rate of change filter, and date filter. Furthermore, it offers options for Take Profit, Stop Loss, and Trailing Stop for both long and short positions, ensuring a comprehensive risk management approach. The inclusion of a maximum intraday loss feature adds another layer of protection, making this strategy a valuable tool for traders seeking a professional and adaptable trading system.
Name : Bollinger Bands - Breakout Strategy
Category : Trend Follower based on Bollinger Bands
Operating mode : Long and Short on Futures or Long on Spot
Trade duration : Intraday
Timeframe : 2H, 3H, 4H, 5H
Market : Crypto
Suggested usage : Trending Markets
Entry : When the price crosses above or below the Bollinger Bands
Exit : Opposite Cross or Profit target, Trailing stop or Stop loss
Configuration :
- Bollinger Bands period and deviation
- Trend Filter
- Volatility Filter
- Trade direction filter
- Rate of Change filter
- Date Filter (for backtesting purposes)
- Take Profit, Stop Loss and Trailing Stop for long and short positions
- Risk Management: Max Intraday Loss
Backtesting :
⁃ Exchange: BINANCE
⁃ Pair: BTCUSDT.P
⁃ Timeframe: 4H
⁃ Fee: 0.025%
⁃ Slippage: 1
- Initial Capital: 10000 USDT
- Position sizing: 10% of Equity
- Start : 2019-09-19 (Out Of Sample from 2022-12-23)
- Bar magnifier: on
Credits :
- LucF of Pine Coders for f_security function to avoid repainting using security.
- QuantNomad for Monthly Table.
Disclaimer : Risk Management is crucial, so adjust stop loss to your comfort level. A tight stop loss can help minimise potential losses. Use at your own risk.
How you or we can improve? Source code is open so share your ideas!
Leave a comment and smash the boost button!
Thanks for your attention, happy to support the TradingView community.
Bollinger Band ribbonThis indicator plots 9 upper and lower lines with increasing length. Lines are 0.618 upper and lower level of Bollinger band.
TrueLevel BandsWhat are TrueLevel Bands ?
TrueLevel Bands is a powerful trading indicator that employs linear regression and standard deviation to create dynamic, envelope-style bands around the price action of a financial instrument. These bands are designed to help traders identify potential support and resistance levels, trend direction, and volatility.
The TrueLevel Bands indicator consists of multiple envelope bands, each constructed using different timeframes or lengths, and a multiple (mult) factor. The multiple factor determines the width of the bands by adjusting the number of standard deviations from the linear regression line.
Key Features of TrueLevel Bands
1. Multi-Timeframe Analysis: Unlike traditional moving average-based indicators, TrueLevel Bands allow traders to incorporate multiple timeframes into their analysis. This helps traders capture both short-term and long-term market dynamics, offering a more comprehensive understanding of price behavior.
2. Customization: The TrueLevel Bands indicator offers a high level of customization, allowing traders to adjust the lengths and multiple factors to suit their trading style and preferences. This flexibility enables traders to fine-tune the indicator to work optimally with various instruments and market conditions.
3. Adaptive Volatility: By incorporating standard deviation, TrueLevel Bands can automatically adjust to changing market volatility. This feature enables the bands to expand during periods of high volatility and contract during periods of low volatility, providing traders with a more accurate representation of market dynamics.
4. Dynamic Support and Resistance Levels: TrueLevel Bands can help traders identify dynamic support and resistance levels, as the bands adjust in real-time according to price action. This can be particularly useful for traders looking to enter or exit positions based on support and resistance levels.
Why TrueLevel Bands are Different from Classic Moving Averages
TrueLevel Bands differ from conventional moving averages in several ways:
1. Linear Regression: While moving averages are based on simple arithmetic means, TrueLevel Bands use linear regression to determine the centerline. This offers a more accurate representation of the trend and helps traders better assess potential entry and exit points.
2. Envelope Style Bands: Unlike moving averages, which are single lines, TrueLevel Bands form envelope-style bands around the price action. This provides traders with a visual representation of potential support and resistance levels, trend direction, and volatility.
3. Multi-Timeframe Analysis: Classic moving averages typically focus on a single timeframe. In contrast, TrueLevel Bands incorporate multiple timeframes, enabling traders to capture a broader understanding of market dynamics.
4. Adaptive Volatility: Traditional moving averages do not account for changing market volatility, whereas TrueLevel Bands automatically adjust to volatility shifts through the use of standard deviation.
The TrueLevel Bands indicator is a powerful, versatile tool that offers traders a unique approach to technical analysis. With its ability to adapt to changing market conditions, provide multi-timeframe analysis, and dynamic support and resistance levels, TrueLevel Bands can serve as an invaluable asset to both novice and experienced traders looking to gain an edge in the markets.
Regression Envelope MTFThe Regression Envelope MTF indicator is a technical analysis tool that uses linear regression to identify potential price reversal points in the market. The indicator plots a linear regression line based on the selected price source over a specified length, and adds and subtracts a multiple of the standard deviation to create upper and lower bands around the line.
One advantage of using linear regression over the traditional envelope indicator is that it takes into account the slope of the trend, rather than assuming that the trend is linear. This means that the bands will adapt to the slope of the trend, which can provide more accurate signals in trending markets.
Another advantage of using linear regression over a simple moving average (SMA) is that it is less sensitive to outliers. SMAs can be heavily influenced by extreme values in the data, which can result in false signals. Linear regression, on the other hand, is more robust to outliers, which can lead to more reliable signals.
Overall, the Regression Envelope MTF indicator can be a useful tool for traders and investors looking to identify potential price reversal points and generate trading signals. However, it should be used in conjunction with other technical analysis tools and with proper risk management strategies in place.
MTF RSI Channel Smoothed (Linear Regression)The "MTF RSI Channel Smoothed (Linear Regression)" indicator is a momentum oscillator that displays smoothed RSI bands across multiple timeframes.
What sets this indicator apart is that it uses linear regression to smooth the RSI bands. Linear regression is a statistical technique that helps filter out the noise in the data, resulting in smoother and more precise RSI bands. This provides traders with a more advanced and reliable tool for monitoring the RSI bands across multiple timeframes.
One of the primary advantages of using linear regression to smooth the RSI bands is that it provides a more accurate and reliable way to identify overbought and oversold levels of the asset. The linear regression method smooths out the data by reducing the impact of temporary price fluctuations, allowing traders to see the underlying trend more clearly. This helps traders to make more informed trading decisions by identifying key levels of support and resistance, and spotting potential entry and exit points.
Another advantage of the "Multi-Timeframe Smoothed RSI Bands" indicator is that it allows traders to adjust the length of the smoothing period using the "Smooth Period" parameter. This flexibility gives traders the ability to fine-tune the indicator to their specific trading style and preferences, resulting in a more personalized and effective trading tool.
Overall, the "Multi-Timeframe Smoothed RSI Bands" indicator is a powerful tool for traders looking to monitor the RSI bands across multiple timeframes. By using linear regression to smooth the data, this indicator provides traders with a more accurate and reliable way to identify potential trading opportunities, and make more informed trading decisions.
Donchian Channel Smoothed (Linear Regression)The script is an implementation of the Donchian Channel Smoothed indicator using linear regression to smooth the data. The indicator plots three curves: the middle curve, which represents the average of the upper and lower curves, and the upper and lower curves, which are the standard Donchian channels.
The smoothing is done using linear regression on the highest and lowest of the given period. This helps filter out the noise in the data and provides a smoother curve that can help traders identify trends and key levels of support and resistance. The advantages of using linear regression for smoothing are reduced data volatility, better identification of long-term trends, and improved ability to identify support and resistance levels.
Using this indicator, traders can identify potential entry and exit points in a trend, as well as key support and resistance levels. Donchian channels are also useful for measuring asset volatility and determining trading range boundaries.
In summary, using linear regression to smooth the data in the Donchian Channel Smoothed indicator presents significant advantages for traders, such as reduced data volatility and better identification of long-term trends. This allows traders to more easily identify support and resistance levels and make more informed trading decisions.
Galactic Bollinger Bands Envelope (GBBE)The Galactic Bollinger Bands Envelope (GBBE) is a technical indicator that is used to identify potential areas of support and resistance in a trading instrument's price. The GBBE indicator is similar to the traditional Bollinger Bands (BB) indicator but offers certain advantages and improvements over the standard BB indicator.
The GBBE indicator is based on a similar concept to the BB indicator, where the bands are plotted around a moving average of the price. However, the GBBE indicator uses a more sophisticated calculation that accounts for the volatility of the instrument being analyzed. The GBBE indicator is designed to adjust to changing market conditions and provide more accurate signals.
One of the key strengths of the GBBE indicator is that it offers a clearer signal for traders to identify potential buy and sell opportunities. This is because the GBBE indicator has a tighter range compared to the standard BB indicator, which can sometimes generate false signals due to the wider range.
The GBBE indicator also has the advantage of being more responsive to sudden price movements, which makes it particularly useful for short-term traders who need to make quick decisions. The GBBE indicator is able to adjust to sudden market changes, which means that traders are less likely to miss out on trading opportunities.
Another advantage of the GBBE indicator is that it can be customized to suit individual trading styles and preferences. Traders can adjust the input parameters of the GBBE indicator, such as the length of the moving average and the multiplier, to optimize the indicator for different market conditions.
In conclusion, the Galactic Bollinger Bands Envelope (GBBE) is a powerful technical indicator that offers several advantages over the standard Bollinger Bands (BB) indicator. The GBBE indicator is designed to be more responsive and accurate, which makes it particularly useful for short-term traders. The GBBE indicator also offers traders more flexibility to customize the indicator to suit individual trading styles and preferences. Overall, the GBBE indicator is a valuable tool for traders looking to identify potential buy and sell opportunities in the markets.
Range of a source displayed in thirdsThis indicator will take the value of any external source input and display how it has changed over time (the lookback period in settings). For the purposes of display here I'm using the WT1 line from Wavetrend with Crosses by LazyBear to provide a source input.
The highest and lowest value of the source over the lookback period are used to determine the highest and lowest point - the green and red lines at the top and bottom of the bands. This region is then mathematically split into three, such that the source (and its optional moving average line) can be defined as being in the top third, the middle or the bottom third.
Applications for this could be in risk management where you may wish to take on a larger position size when a certain indicator is in the top third, or decide that you want to enter / leave positions when the source crosses in / out of the extreme points.
Relative Strength Index w/ STARC Bands and PivotsThis is an old script that I use with some useful RSI strategies from "Technical Analysis for the Trading Professional" 2nd edition by Constance Brown.
The base RSI comes with the option for custom length, and has some pre-configured ranges for looking at exits and entrances. The idea is to be bullish when bounces happen in the red zone during an already bullish trend or when the indicator enters green without a rejection. Be bearish if the indicator falls through the red zone or fails to enter green during an already bearish trend.
I have added the formulas used for creating STARC bands (just think fancier volatility bands) with adjustable tolerances. The idea is to look out for when the RSI touches one of the bands and reverses. This is usually indicative of a strong reversal (though the timing will be up to the trader). Best use this on shorter time frames during a volatile time of a stock's price action.
Although a little messy, there is a small segment of the script which includes pivot points. I like to use these because they make indicating local highs/lows for finding divergences easier.
Finally, I have added a couple of customizable EMAS for the RSI itself. Useful when combined with the other features!
BD Momentum ChannelIntroducing the BD Momentum Channel, a new indicator that helps traders identify market trends and momentum through a combination of upper and lower channels, as well as fast and slow moving averages. The BD Momentum Channel can be used in standalone mode or in combination with other technical analysis tools to enhance trading strategies. We recommend using it in combination with the Wave Master indicator.
To use the indicator, simply input the desired length for the upper and lower channels, as well as the smoothing periods for the fast and slow moving averages or use the provided defaults. The Bull and Bear Levels can be set to the desired values, while the Extreme Bull and Extreme Bear Levels can be used to signal significant market movements.
The BD Momentum Channel works by calculating the highest and lowest prices over a specified period, and then finding the average of these two values, which is used as the basis for the upper and lower channels. The width of the channel is calculated as the difference between the upper and lower channels, while the position of the current price in relation to the upper and lower channels is used to determine the percentage change and which half of the channel the price is in.
The fast and slow moving averages are then calculated using a simple moving average function, and plotted as histograms on the chart. The Bull and Bear Levels are also plotted on the chart as horizontal lines, providing a quick reference for market direction.
The BD Momentum Channel also includes a range of color-coded signals, including extreme bull and bear levels, and cross-under and cross-over signals that can be used to confirm trends and changes in market momentum.
Overall, the BD Momentum Channel is a powerful tool for traders looking to identify market trends and momentum, and can be easily customized to suit individual trading strategies.
Ignition Band Angles are Bollinger Bands with numeric angleI developed Bollinger Bands that provide a numeric value indicating their strength. To achieve this, I used the degree of the angle of attack and color-coded the numbers. The top band displays the number in the upper corner of the chart, the bottom band in the bottom corner, and the Basis is in the left middle. These numbers quantify the slope of the bands, which can be difficult to discern on a chart because stretching out the x and y axis can flatten or exaggerate a slope. With my Bollinger Bands, you get a constant reading that provides an accurate measurement of the angle and strength of a trend. I hope this helps.
[TTI] Minervini Envelopes––––History & Credit
This is an indicator that I saw Mark Minervini using. Picture attached to the Session he showed it.
–––––What it does
The indicator is a Envelopes band. Envelopes represent bands that are plotted in a certain, identical relationship above and below the Moving Average. Envelopes are a very complex theme with many interpretation and trading rules. Basically, envelopes capture a significant part of price movements. Concrete trading signals are released if prices approach or move away form their envelope.
Envelopes are plotted around a Moving Average in a constant percentage distance. Hence they are added to or subtracted from this average. Both envelope lines thus define the prevailing trading range.
–––––How to use it
While several different trading rules are available, the most simple approach uses the price band as an entry and exit point. When price penetrates the upper price band, you initiate a long position or buy. If you have an existing short position, you close out shorts and go long. Conversely, when prices penetrate the lower price band, you close out long positions and go short.
–––––How to Mark Minervini uses it
He applies it to the SPY ONLY and ONLY on WEEKLY! When the price action is above the Envelope then he is in his long term portfolio (he disclaimed it is only a small portfolio for his daugther!)
