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스크립트에서 "KELTNER"에 대해 찾기

GLXY Support & Resistance ZonesHere’s a structured trading strategy for Galaxy Digital Holdings Ltd. (GLXY) based on a combination of technical analysis, market sentiment, and macro crypto market movement: ⸻ 1. Timeframe     •    Swing trading timeframe: 1-week to 1-month trades.     •    Monitor daily and 4H charts for entries and exits. ⸻ 2. Key Factors Driving GLXY     •    Strongly correlated to Bitcoin and Ethereum price movement.     •    Sensitive to regulatory news in Canada/US and institutional crypto adoption.     •    Watch Galaxy’s quarterly earnings and treasury BTC/ETH position updates. ⸻ 3. Entry Strategy A) Technical Setup:     •    Buy at major support zones:     •    Key support levels: $7.00 CAD, $9.00 CAD (verify current chart levels).     •    Enter long positions on bullish reversal candles at these supports.     •    Breakout trades:     •    Enter long positions on confirmed breakouts above significant resistance (watch volume and 1D close).     •    Moving Average Confirmation:     •    Only trade long if price is above the 50-day moving average and 50 MA is upward sloping. B) Macro Confirmation:     •    Only take aggressive long positions if BTC price is in an uptrend (above its own 50-day MA).     •    Monitor ETH/BTC pair as additional confidence for alt sentiment. ⸻ 4. Exit Strategy     •    First partial profit target: Previous swing highs or Fibonacci extension levels (commonly 1.272 or 1.618).     •    Trailing stop: Move stop-loss to entry when trade is +10%.     •    Hard stop-loss: Below the last daily support (2-5% risk). ⸻ 5. Diversification     •    Do not exceed 5-7% of total portfolio per trade.     •    Hedge exposure by monitoring crypto futures or crypto sentiment indexes (eg. Fear & Greed Index). ⸻ 6. Optional Short Setup     •    Only short if price breaks major support with strong volume, and BTC/ETH are in confirmed downtrends.     •    Short target: next daily support zone. ⸻ 7. News / Event-based Catalyst     •    Enter small positions before major earnings or after big regulatory decisions if crypto sentiment is bullish. ⸻ 8. Review     •    Reassess the strategy every month based on BTC market structure.     •    Track your trade results for GLXY separately to refine position sizing and entry criteria. ⸻
Pine Script® 인디케이터
Keltner1972의
Screener - Mean Reversion Channel█ OVERVIEW This is Screener script for Mean Reversion Channel Indicator █ Description & How To Use The screener works by scanning through up to 40 symbols and list down symbols that are currently within Overbought/Oversold Zone as defined by Mean Reversion Channel indicator. The Overbought/Oversold Zone are further categorized and sorted by: Strong : Indicated by "(Strong)" next to the symbol name Normal : Indicated by the absence of "(Strong)" or "(Weak)" next to the symbol name Weak : Indicated by "(Weak)" next to the symbol name Notes: Refer to chart above to see how the Zone are categorized. Notes: If the screener displays "Nothing Interesting". It simply means none of the screened assets are within the Overbought/Oversold Zone. █ Features - Scan up to 40 symbols at a time (By default, no asset is define. Once configured all the symbols you required, remember to save as default to save you from pain of configuring it again in the future) - Options to scan by zones - Custom Timeframe █ Limitation Due to multiple use of security() function required to call other symbols, expect the screener to be slow at certain times █ Disclaimer Past performance is not an indicator of future results. My opinions and research are my own and do not constitute financial advice in any way whatsoever. Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities. I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions. Any ideas to further improve this indicator are welcome :) Credit: QuantNomad for his script idea on custom screener
Pine Script® 인디케이터
fareidzulkifli의
62
Mean Reversion Channel - (fareid's MRI Variant)Description : Mean Reversion Channel objective, based on Mean Reversion theory ( everything has a tendency to revert back to its mean), is to help visualizing: Inner Channel -> Dynamic Support and Resistance Outer Channel -> Overbought/Oversold Zone which may signal consolidation phase or potential reversal due to unsustainable move Details on some of the filtering type used for mean calculation can be read in Ehlers Technical Papers: "Swiss Army Knife Indicator" and/or his book "Cybernetics Analysis for Stock and Futures" Disclaimer: These study scripts was built only to test/visualize an idea to see its viability and if it can be used to optimize existing strategy. Any ideas to further improve this indicator are welcome :)
Pine Script® 인디케이터
fareidzulkifli의
67
TASC 2024.05 Ultimate Channels and Ultimate Bands█ OVERVIEW This script, inspired by the "Ultimate Channels and Ultimate Bands" article from the May 2024 edition of TASC's Traders' Tips , showcases the application of the UltimateSmoother by John Ehlers as a lag-reduced alternative to moving averages in indicators based on Keltner channels and Bollinger Bands®. █ CONCEPTS The UltimateSmoother , developed by John Ehlers, is a digital smoothing filter that provides minimal lag compared to many conventional smoothing filters, e.g., moving averages . Since this filter can provide a viable replacement for moving averages with reduced lag, it can potentially find broader applications in various technical indicators that utilize such averages. This script explores its use as the smoothing filter in Keltner channels and Bollinger Bands® calculations, which traditionally rely on moving averages. By substituting averages with the UltimateSmoother function, the resulting channels or bands respond more quickly to fluctuations with substantially reduced lag. Users can customize the script by selecting between the Ultimate channel or Ultimate bands and adjusting their parameters, including lookback lengths and band/channel width multipliers, to fine-tune the results. █ CALCULATIONS The calculations the Ultimate channels and Ultimate bands use closely resemble those of their conventional counterparts. Ultimate channel: Apply the Ultimate smoother to the `close` time series to establish the basis (center) value. Calculate the smooth true range (STR) by applying the UltimateSmoother function with a user-specified length instead of a rolling moving average, thus replacing the conventional average true range (ATR). Users can adjust the final STR value using the "Width multiplier" input in the script's settings. Calculate the upper channel value by adding the multiplied STR to the basis calculated in the first step, and calculate the lower channel value by subtracting the multiplied STR from the basis. Ultimate bands: Apply the Ultimate smoother to the `close` time series to establish the basis (center) value. Calculate the width of the bands by finding the square root of the average of individual squared deviations over the specified length, then multiplying the result by the "Width multiplier" input value. Calculate the upper band by adding the resulting width to the basis from the first step, and calculate the lower band by subtracting the width from the basis.
Pine Script® 인디케이터
PineCodersTASC의
4
Bollinger Band Squeeze with Dotted MidlinesBollinger Band Squeeze with Dotted Midlines Overview: The Bollinger Band Squeeze with Dotted Midlines indicator is a powerful tool designed to identify periods of low volatility in the market, known as "squeeze" conditions, which often precede significant price movements. By combining Bollinger Bands and Keltner Channels, this indicator highlights when the market is consolidating and prepares traders for potential breakouts. Key Features: • Squeeze Detection: The indicator fills the area between the Bollinger Bands and Keltner Channels with a semi-transparent red color when both the upper and lower Bollinger Bands are within the Keltner Channels. This visual cue signifies a squeeze condition. • Dynamic Color Filling: When the Bollinger Bands move outside the Keltner Channels, the fill color changes to a semi-transparent white, indicating the end of the squeeze and the potential start of increased volatility. • Enhanced Visual Clarity: o Upper and Lower Bands: The upper and lower lines of both the Bollinger Bands and Keltner Channels are plotted with increased thickness (3pt) for better visibility. o Midlines with Dotted Effect: The middle lines (50% lines) for both the Bollinger Bands and Keltner Channels are plotted as dotted lines using circles with a thinner line width (1pt), providing a clear yet unobtrusive reference point. Indicator Components: 1. Bollinger Bands (Orange Lines): o Upper Bollinger Band: Calculated as the moving average plus a multiple of the standard deviation. o Lower Bollinger Band: Calculated as the moving average minus a multiple of the standard deviation. o Middle Bollinger Band: The simple moving average (SMA) of the closing price. 2. Keltner Channels (White Lines): o Upper Keltner Channel: Calculated as the exponential moving average (EMA) plus a multiple of the average true range (ATR). o Lower Keltner Channel: Calculated as the EMA minus a multiple of the ATR. o Middle Keltner Channel: The EMA of the closing price. 3. Squeeze Condition Fill: o Red Fill (40% Opacity): Indicates a squeeze condition where the Bollinger Bands are entirely within the Keltner Channels. o White Fill (40% Opacity): Indicates normal market conditions where the Bollinger Bands have moved outside the Keltner Channels. How to Use: 1. Identifying Squeeze Conditions: o Look for Red Filled Areas: When you see the area between the Bollinger Bands and Keltner Channels filled in semi-transparent red, it signals a squeeze condition. This means the market is experiencing low volatility and may be preparing for a significant move. 2. Preparing for Potential Breakouts: o Monitor for Fill Color Changes: A transition from red to white fill suggests that the squeeze is ending, and volatility is increasing. Traders often interpret this as a potential opportunity for a breakout in either direction. 3. Utilizing Midlines: o Reference Midlines for Trend Direction: The dotted midlines provide insight into the overall trend. Crossing of the price above or below these lines can offer additional confirmation for trading decisions. Customization Options: • Bollinger Bands Settings: o Length: Default is 20 periods. Adjust to change the sensitivity of the bands. o Multiplier: Default is 2.0. Modify to increase or decrease the band width based on standard deviation. • Keltner Channels Settings: o Length: Default is 20 periods. Alter to adjust the responsiveness of the channels. o Multiplier: Default is 1.5. Change to widen or narrow the channels based on average true range. Advantages: • Visual Clarity: Enhanced line thickness and semi-transparent fills make it easy to spot key market conditions at a glance. • Early Warning System: By identifying squeeze conditions, traders can anticipate potential breakouts and plan their strategies accordingly. • Flexible Application: Suitable for various timeframes and trading styles, including day trading, swing trading, and position trading. Limitations: • False Signals: Like all technical indicators, it may produce false signals, especially in choppy or range-bound markets. • Should Be Used with Other Indicators: For better accuracy, it's recommended to use this indicator in conjunction with other technical analysis tools and not as a standalone signal generator. Conclusion: The Bollinger Band Squeeze with Dotted Midlines indicator is a valuable addition to any trader's toolkit. By effectively highlighting periods of consolidation and potential breakout points, it aids in making informed trading decisions. The visual enhancements improve usability, allowing traders to quickly interpret market conditions and respond appropriately.
Pine Script® 인디케이터
PrestigeWorldwideTradingCo의
3
Multi-Timeframe TTM Squeeze Pro IMPORTANT NOTE: -> The timeframe for this indicator must be set at 1 minute; -> If the chart timeframe is higher than 1 minute, the results shown in the table for timeframes lower than the chart will not be correct; -> Tradingview's own documentation explains this as follows: " It is not recommended to request data of a timeframe lower that the current chart timeframe, for example 1 minute data from a 5 minutes chart. The main problem with such a case is that some part of a 1 minute data will be inevitably lost, as it’s impossible to display it on a 5 minutes chart and not to break the time axis. In such cases the behavior of security can be rather unexpected "; and -> It is therefore recommended that this indicator is placed in a standalone 1min chart window, and the window resized to only show the table to avoid any issues. Credits: -> John Carter creating the TTM Squeeze and TTM Squeeze Pro -> Lazybear's original interpretation of the TTM Squeeze: Squeeze Momentum Indicator -> Makit0's evolution of Lazybear's script to factor in the TTM Squeeze Pro upgrades - Squeeze PRO Arrows This is my version of their collective works, with amendments primarily to the Squeeze Conditions to more accurately reflect the color coding used by the official TMM Squeeze Pro indicator. TTM Squeeze Guide For those unfamiliar with the TTM Squeeze, it is simply a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average ) relate to Keltner Channels ( average true range bands) compared with the momentum of the price action. The concept is that as Bollinger Bands compress within Keltner Channels , price volatility decreases, giving way for a potential explosive price movement up or down. Differences between the original TTM Squeeze and TTM Squeeze Pro: -> Both use a 2 standard deviation Bollinger Band ; -> The original squeeze only used a 1.5 ATR Keltner Channel; and -> The pro version uses 1.0, 1.5 and 2.0 ATR Keltner Channels . The pro version therefore helps differentiate between levels of squeeze (compression) as the Bollinger Bands moves through the Keltner Channels i.e. the greater the compression, the more potential for explosive moves - less compression means more squeezing. The Histogram shows price momentum whereas the colored dots (along the zeroline) show where the Bollinger Bands are in relation to the Keltner Channels: -> Cyan Bars = positive, increasing momentum; -> Blue Bars = positive, decreasing momentum (indication of a reversal in price direction); -> Red Bars = negative, increasing momentum; -> Yellow Bars = negative, decreasing momentum (indication of a reversal in price direction); -> Orange Dots = High Compression / large squeeze (One or both of the Bollinger Bands is inside the 1st (1.0 ATR) Keltner Channel); -> Red Dots = Medium Squeeze (One or both of the Bollinger Bands is inside the 2nd (1.5 ATR) Keltner Channel); -> Black Dots = Low compression / wide squeeze (One or both of the Bollinger Bands is inside the 3rd (2.0 ATR) Keltner Channels ); -> Green Dots = No Squeeze / Squeeze Fired (One or both of the Bollinger Bands is outside of the 3rd (2.0 ATR) Keltner Channel). Ideal Scenario: As the ticker enters the squeeze, black dots would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict within the Keltner Channels , red dots would highlight a medium compression. As the price action and momentum continues to compress an orange dot shows warning of high compression. As price action leaves the squeeze, the coloring would reverse e.g. orange to red to black to green. Any compression squeeze is considered fired at the first green dot that appears. Note: This is an ideal progression of the different types of squeezes, however any type of squeeze (and color sequence) may appear at anytime, therefore the focus is primarily on the green dots after any type of compression. Entry and Exit Guide: -> John Carter recommends entering a position after at least 5 black dots or wait for 1st green dot ; and -> Exit on second blue or yellow bar or, alternatively, remain in the position after confirming a continuing trend through a separate indicator. Standalone Indicator: The indicator (which can be used on any timeframe) can be found here:
Pine Script® 인디케이터
Beardy_Fred의
41
TTM Squeeze Pro BarsCredits: -> John Carter creating the TTM Squeeze and TTM Squeeze Pro -> Lazybear's original interpretation of the TTM Squeeze: Squeeze Momentum Indicator -> Makit0's evolution of Lazybear's script to factor in the TTM Squeeze Pro upgrades - Squeeze PRO Arrows This is my version of their collective works, with amendments primarily to the Squeeze Conditions to more accurately reflect the color coding used by the official TMM Squeeze Pro indicator. Rather than having a separate indicator window, the TTM Squeeze Pro is now overlaid on the price bars for easier viewing. For those unfamiliar with the TTM Squeeze, it is simply a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average ) relate to Keltner Channels ( average true range bands) compared with the momentum of the price action. The concept is that as Bollinger Bands compress within Keltner Channels , price volatility decreases, giving way for a potential explosive price movement up or down. Differences between the original TTM Squeeze and TTM Squeeze Pro: -> Both use a 2 standard deviation Bollinger Band ; -> The original squeeze only used a 1.5 ATR Keltner Channel; and -> The pro version uses 1.0, 1.5 and 2.0 ATR Keltner Channels . The pro version therefore helps differentiate between levels of squeeze (compression) as the Bollinger Bands moves through the Keltner Channels i.e. the greater the compression, the more potential for explosive moves - less compression means more squeezing. The Histogram shows price momentum whereas the colored dots (along the zeroline) show where the Bollinger Bands are in relation to the Keltner Channels: -> Cyan Bars = positive, increasing momentum; -> Blue Bars = positive, decreasing momentum (indication of a reversal in price direction); -> Red Bars = negative, increasing momentum; -> Yellow Bars = negative, decreasing momentum (indication of a reversal in price direction); -> Orange Dots = High Compression / large squeeze (One or both of the Bollinger Bands is inside the 1st (1.0 ATR) Keltner Channel); -> Red Dots = Medium Squeeze (One or both of the Bollinger Bands is inside the 2nd (1.5 ATR) Keltner Channel); -> Black Dots = Low compression / wide squeeze (One or both of the Bollinger Bands is inside the 3rd (2.0 ATR) Keltner Channels ); -> Green Dots = No Squeeze / Squeeze Fired (One or both of the Bollinger Bands is outside of the 3rd (2.0 ATR) Keltner Channel). Ideal Scenario: As the ticker enters the squeeze, black dots would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict within the Keltner Channels , red dots would highlight a medium compression. As the price action and momentum continues to compress an orange dot shows warning of high compression. As price action leaves the squeeze, the coloring would reverse e.g. orange to red to black to green. Any compression squeeze is considered fired at the first green dot that appears. Note: This is an ideal progression of the different types of squeezes, however any type of squeeze (and color sequence) may appear at anytime, therefore the focus is primarily on the green dots after any type of compression. Entry and Exit Guide: -> John Carter recommends entering a position after at least 5 black dots or wait for 1st green dot ; and -> Exit on second blue or yellow bar or, alternatively, remain in the position after confirming a continuing trend through a separate indicator.
Pine Script® 인디케이터
Beardy_Fred의
26
TTM Squeeze ProCredits: -> John Carter creating the TTM Squeeze and TTM Squeeze Pro -> Lazybear's original interpretation of the TTM Squeeze: Squeeze Momentum Indicator -> Makit0's evolution of Lazybear's script to factor in the TTM Squeeze Pro upgrades - Squeeze PRO Arrows This is my version of their collective works, with amendments primarily to the Squeeze Conditions to more accurately reflect the color coding used by the official TMM Squeeze Pro indicator. For those unfamiliar with the TTM Squeeze, it is simply a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average ) relate to Keltner Channels (average true range bands) compared with the momentum of the price action. The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down. Differences between the original TTM Squeeze and TTM Squeeze Pro: -> Both use a 2 standard deviation Bollinger Band ; -> The original squeeze only used a 1.5 ATR Keltner Channel; and -> The pro version uses 1.0, 1.5 and 2.0 ATR Keltner Channels . The pro version therefore helps differentiate between levels of squeeze (compression) as the Bollinger Bands moves through the Keltner Channels i.e. the greater the compression, the more potential for explosive moves - less compression means more squeezing. The Histogram shows price momentum whereas the colored dots (along the zeroline) show where the Bollinger Bands are in relation to the Keltner Channels: -> Cyan Bars = positive, increasing momentum; -> Blue Bars = positive, decreasing momentum (indication of a reversal in price direction); -> Red Bars = negative, increasing momentum; -> Yellow Bars = negative, decreasing momentum (indication of a reversal in price direction); -> Orange Dots = High Compression / large squeeze (One or both of the Bollinger Bands is inside the 1st (1.0 ATR) Keltner Channel); -> Red Dots = Medium Squeeze (One or both of the Bollinger Bands is inside the 2nd (1.5 ATR) Keltner Channel); -> Black Dots = Low compression / wide squeeze (One or both of the Bollinger Bands is inside the 3rd (2.0 ATR) Keltner Channels ); -> Green Dots = No Squeeze / Squeeze Fired (One or both of the Bollinger Bands is outside of the 3rd (2.0 ATR) Keltner Channel). Ideal Scenario: As the ticker enters the squeeze, black dots would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict within the Keltner Channels , red dots would highlight a medium compression. As the price action and momentum continues to compress an orange dot shows warning of high compression. As price action leaves the squeeze, the coloring would reverse e.g. orange to red to black to green. Any compression squeeze is considered fired at the first green dot that appears. Note: This is an ideal progression of the different types of squeezes, however any type of squeeze (and color sequence) may appear at anytime, therefore the focus is primarily on the green dots after any type of compression. Entry and Exit Guide: -> John Carter recommends entering a position after at least 5 black dots or wait for 1st green dot ; and -> Exit on second blue or yellow bar or, alternatively, remain in the position after confirming a continuing trend through a separate indicator.
Pine Script® 인디케이터
Beardy_Fred의
148
Kelt + BBand Combination (kingthies) █  Overview The Kelt-BBand Combo is a trading approach that I've used for multiple years now, and works on any timeframe, chart possible. There are various versions of this approach published by myself and others who find value in measuring the deviations of price and strategize market entries and exits. For an entry-level description of each component, I'll type them up below. █  Using This Indicator While there are various strategies to use this tool, I'll share the one that has yielded me the most success across traditional and cryptocurrency markets - first understand the different appearances of both.... IF the bbands are inside the kelts, the squeeze is on. In 90% of cases this is often a bullish leaning event IF the bbands are pinching (regardless of slope or kelt behavior),these are your primary support and resistances, respectively When trending up, HA candles will touch between the upper kelt and upper bband on every candle, across all timeframes When trending down, HA candles will touch between the lower kelt and lower bband on every candle, across all timeframes If one timeframe is not giving clear indicator of trend direction or s/r to follow, zoom out. the higher timeframe will always win and show you the true direction █  Intro to Bollinger Bands Bollinger Bands consists of a center line representing the moving average of a security’s price over a certain period, and two additional parallel lines (called the trading bands) one of which is just the moving average plus k-times the standard deviation over the selected time frame, and the other being the moving average minus k-times the standard deviation over that same timeframe. This technique has been developed in the 1980’s by John Bollinger, who lately registered the terms “Bollinger Bands” as a U.S. trademark in 2011. Technical analysts typically use 20 periods and k = 2 as default settings to build Bollinger Bands, while they can choose a simple or exponential moving average. Bollinger Bands provide a relative definition of high and low prices of a security. When the security is trading within the upper band, the price is considered high, while it is considered low when the security is trading within the lower band. There is no general consensus on the use of Bollinger Bands among traders. Some traders see a buy signal when the price hits the lower Bollinger Band and close their position when the price hits the moving average. Some others buy when the price crosses over the upper band and sell when the price crosses below the lower band. We can see here two opposing interpretations based on different rationales, depending whether we are in a reversal or continuation pattern. Another interesting feature of the Bollinger Bands is that they give an indication of the volatility levels; a widening gap between the upper and lower bands indicates an increasing volatility, while a narrowing band indicates a decreasing volatility. Moreover, when the bands have an almost flat slope (parallel to the x-axis) the price will generally oscillate between the bands as if trading through a channel. █  Intro to Keltner Channels Keltner Channels aka Kelts were first described by a Chicago grain trader called Chester W. Keltner in his 1960 book How to Make Money in Commodities. Though Keltner claimed no ownership of the original idea and simply called it the ten-day moving average trading rule, his name was applied by those who heard of this concept through his books. Similarly to the Bollinger Bands, Keltner channel is a technical analysis tool based on three parallel lines. In fact, the Keltner indicator consists of a central moving average in addition to channel lines spread above and below it. The central line represents a 10-day simple moving average of what Chester W. Keltner called typical price. The typical price is defined as the average of the high, low and close. The distance between the central line and the upper, or lower line, is equivalent to the simple moving average of the preceding 10 days' trading ranges. One way to interpret the Keltner Channel would be to consider the price breakouts outside of the channel. A trader would track price movement and consider any close above the upper line as a strong buy signal. Equivalently, any close below the lower line would be considered a strong sell signal. The trader would follow the trend emphasized by the indicator while complementing his analysis with the use of other indicators as well. However, the breakout method only works well when the market moves from a range-bound setting to an established trend. In a trend-less configuration, the Keltner Channel is better used as an overbought/oversold indicator. Thus, as the price breaks out below the lower band, a trader waits for the next close inside the Keltner Channel and considers this price behavior as an oversold situation indicating a potential buy signal. Similarly, as the price breaks out above the upper band, the trader waits for the next close inside the Keltner Channel and considers this price movement as an overbought situation indicating a potential sell signal. By waiting for the price to close within the Channel, the trader avoids getting caught in a real upside or downside breakout. Happy Trading!
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kingthies의
1
Prop Firm Business SimulatorThe prop firm business simulator is exactly what it sounds like. It's a plug and play tool to test out any tradingview strategy and simulate hypothetical performance on CFD Prop Firms. Now what is a modern day CFD Prop Firm? These companies sell simulated trading challenges for a challenge fee. If you complete the challenge you get access to simulated capital and you get a portion of the profits you make on those accounts payed out. I've included some popular firms in the code as presets so it's easy to simulate them. Take into account that this info will likely be out of date soon as these prices and challenge conditions change. Also, this tool will never be able to 100% simulate prop firm conditions and all their rules. All I aim to do with this tool is provide estimations. Now why is this tool helpful? Most traders on here want to turn their passion into their full-time career, prop firms have lately been the buzz in the trading community and market themselves as a faster way to reach that goal. While this all sounds great on paper, it is sometimes hard to estimate how much money you will have to burn on challenge fees and set realistic monthly payout expectations for yourself and your trading. This is where this tool comes in. I've specifically developed this for traders that want to treat prop firms as a business. And as a business you want to know your monthly costs and income depending on the trading strategy and prop firm challenge you are using. How to use this tool It's quite simple you remove the top part of the script and replace it with your own strategy. Make sure it's written in same version of pinescript before you do that. //--$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$--//--------------------------------------------------------------------------------------------------------------------------$$$$$$ //--$$$$$--Strategy-- --$$$$$$--// ****************************************************************************************************************************** //--$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$$--//--------------------------------------------------------------------------------------------------------------------------$$$$$$ length = input.int(20, minval=1, group="Keltner Channel Breakout") mult = input(2.0, "Multiplier", group="Keltner Channel Breakout") src = input(close, title="Source", group="Keltner Channel Breakout") exp = input(true, "Use Exponential MA", display = display.data_window, group="Keltner Channel Breakout") BandsStyle = input.string("Average True Range", options = , title="Bands Style", display = display.data_window, group="Keltner Channel Breakout") atrlength = input(10, "ATR Length", display = display.data_window, group="Keltner Channel Breakout") esma(source, length)=> s = ta.sma(source, length) e = ta.ema(source, length) exp ? e : s ma = esma(src, length) rangema = BandsStyle == "True Range" ? ta.tr(true) : BandsStyle == "Average True Range" ? ta.atr(atrlength) : ta.rma(high - low, length) upper = ma + rangema * mult lower = ma - rangema * mult //--Graphical Display--// *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-$$$$$$ u = plot(upper, color=#2962FF, title="Upper", force_overlay=true) plot(ma, color=#2962FF, title="Basis", force_overlay=true) l = plot(lower, color=#2962FF, title="Lower", force_overlay=true) fill(u, l, color=color.rgb(33, 150, 243, 95), title="Background") //--Risk Management--// *-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-*-$$$$$$ riskPerTradePerc = input.float(1, title="Risk per trade (%)", group="Keltner Channel Breakout") le = high>upper ? false : true se = lowlower strategy.entry('PivRevLE', strategy.long, comment = 'PivRevLE', stop = upper, qty=riskToLots) if se and upper>lower strategy.entry('PivRevSE', strategy.short, comment = 'PivRevSE', stop = lower, qty=riskToLots) The tool will then use the strategy equity of your own strategy and use this to simulat prop firms. Since these CFD prop firms work with different phases and payouts the indicator will simulate the gains until target or max drawdown / daily drawdown limit gets reached. If it reaches target it will go to the next phase and keep on doing that until it fails a challenge. If in one of the phases there is a reward for completing, like a payout, refund, extra it will add this to the gains. If you fail the challenge by reaching max drawdown or daily drawdown limit it will substract the challenge fee from the gains. These gains are then visualised in the calendar so you can get an idea of yearly / monthly gains of the backtest. Remember, it is just a backtest so no guarantees of future income. The bottom pane (non-overlay) is visualising the performance of the backtest during the phases. This way u can check if it is realistic. For instance if it only takes 1 bar on chart to reach target you are probably risking more than the firm wants you to risk. Also, it becomes much less clear if daily drawdown got hit in those high risk strategies, the results will be less accurate. The daily drawdown limit get's reset every time there is a new dayofweek on chart. If you set your prop firm preset setting to "'custom" the settings below that are applied as your prop firm settings. Otherwise it will use one of the template by default it's FTMO 100K. The strategy I'm using as an example in this script is a simple Keltner Channel breakout strategy. I'm using a 0.05% commission per trade as that is what I found most common on crypto exchanges and it's close to the commissions+spread you get on a cfd prop firm. I'm targeting a 1% risk per trade in the backtest to try and stay within prop firm boundaries of max 1% risk per trade. Lastly, the original yearly and monthly performance table was developed by Quantnomad and I've build ontop of that code. Here's a link to the original publication: That's everything for now, hope this indicator helps people visualise the potential of prop firms better or to understand that they are not a good fit for their current financial situation.
Pine Script™ 전략
Honestcowboy의
Enhanced Volume Trend Indicator with BB SqueezeEnhanced Volume Trend Indicator with BB Squeeze: Comprehensive Explanation The visualization system allows traders to quickly scan multiple securities to identify high-probability setups without detailed analysis of each chart. The progression from squeeze to breakout, supported by volume trend confirmation, offers a systematic approach to identifying trading opportunities. The script combines multiple technical analysis approaches into a comprehensive dashboard that helps traders make informed decisions by identifying high-probability setups while filtering out noise through its sophisticated confirmation requirements. It combines multiple technical analysis approaches into an integrated visual system that helps traders identify potential trading opportunities while filtering out false signals. Core Features 1. Volume Analysis Dashboard The indicator displays various volume-related metrics in customizable tables: AVOL (After Hours + Pre-Market Volume): Shows extended hours volume as a percentage of the 21-day average volume with color coding for buying/selling pressure. Green indicates buying pressure and red indicates selling pressure. Volume Metrics: Includes regular volume (VOL), dollar volume ($VOL), relative volume compared to 21-day average (RVOL), and relative volume compared to 90-day average (RVOL90D). Pre-Market Data: Optional display of pre-market volume (PVOL), pre-market dollar volume (P$VOL), pre-market relative volume (PRVOL), and pre-market price change percentage (PCHG%). 2. Enhanced Volume Trend (VTR) Analysis The Volume Trend indicator uses adaptive analysis to evaluate buying and selling pressure, combining multiple factors: MACD (Moving Average Convergence Divergence) components Volume-to-SMA (Simple Moving Average) ratio Price direction and market conditions Volume change rates and momentum EMA (Exponential Moving Average) alignment and crossovers Volatility filtering VTR Visual Indicators The VTR score ranges from 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. This is visually represented by colored circles: "●" (Filled Circle): Green: Strong bullish trend (VTR ≥ 80) Red: Strong bearish trend (VTR ≤ 20) "◯" (Hollow Circle): Green: Moderate bullish trend (VTR 65-79) Red: Moderate bearish trend (VTR 21-35) "·" (Small Dot): Green: Weak bullish trend (VTR 55-64) Red: Weak bearish trend (VTR 36-45) "○" (Medium Hollow Circle): Neutral conditions (VTR 46-54), shown in gray In "Both" display mode, the VTR shows both the numerical score (0-100) alongside the appropriate circle symbol. Enhanced VTR Settings The Enhanced Volume Trend component offers several advanced customization options: Adaptive Volume Analysis (volTrendAdaptive): When enabled, dynamically adjusts volume thresholds based on recent market volatility Higher volatility periods require proportionally higher volume to generate significant signals Helps prevent false signals during highly volatile markets Keep enabled for most trading conditions, especially in volatile markets Speed of Change Weight (volTrendSpeedWeight, range 0-1): Controls emphasis on volume acceleration/deceleration rather than absolute levels Higher values (0.7-1.0): More responsive to new volume trends, better for momentum trading Lower values (0.2-0.5): Less responsive, better for trend following Helps identify early volume trends before they fully develop Momentum Period (volTrendMomentumPeriod, range 2-10): Defines lookback period for volume change rate calculations Lower values (2-3): More responsive to recent changes, better for short timeframes Higher values (7-10): Smoother, better for daily/weekly charts Directly affects how quickly the indicator responds to new volume patterns Volatility Filter (volTrendVolatilityFilter): Adjusts significance of volume by factoring in current price volatility High volume during high volatility receives less weight High volume during low volatility receives more weight Helps distinguish between genuine volume-driven moves and volatility-driven moves EMA Alignment Weight (volTrendEmaWeight, range 0-1): Controls importance of EMA alignments in final VTR calculation Analyzes multiple EMA relationships (5, 10, 21 period) Higher values (0.7-1.0): Greater emphasis on trend structure Lower values (0.2-0.5): More focus on pure volume patterns Display Mode (volTrendDisplayMode): "Value": Shows only numerical score (0-100) "Strength": Shows only symbolic representation "Both": Shows numerical score and symbol together 3. Bollinger Band Squeeze Detection (SQZ) The BB Squeeze indicator identifies periods of low volatility when Bollinger Bands contract inside Keltner Channels, often preceding significant price movements. SQZ Visual Indicators "●" (Filled Circle): Strong squeeze - high probability setup for an impending breakout Green: Strong squeeze with bullish bias (likely upward breakout) Red: Strong squeeze with bearish bias (likely downward breakout) Orange: Strong squeeze with unclear direction "◯" (Hollow Circle): Moderate squeeze - medium probability setup Green: With bullish EMA alignment Red: With bearish EMA alignment Orange: Without clear directional bias "-" (Dash): Gray dash indicates no squeeze condition (normal volatility) The script identifies squeeze conditions through multiple methods: Bollinger Bands contracting inside Keltner Channels BB width falling to bottom 20% of recent range (BB width percentile) Very narrow Keltner Channel (less than 5% of basis price) Tracking squeeze duration in consecutive bars Different squeeze strengths are detected: Strong Squeeze: BB inside KC with tight BB width and narrow KC Moderate Squeeze: BB inside KC with either tight BB width or narrow KC No Squeeze: Normal market conditions 4. Breakout Detection System The script includes two breakout indicators working in sequence: 4.1 Pre-Breakout (PBK) Indicator Detects potential upcoming breakouts by analyzing multiple factors: Squeeze conditions lasting 2-3 bars or more Significant price ranges Strong volume confirmation EMA/MACD crossovers Consistent price direction PBK Visual Indicators "●" (Filled Circle): Detected pre-breakout condition Green: Likely upward breakout (bullish) Red: Likely downward breakout (bearish) Orange: Direction not yet clear, but breakout likely "-" (Dash): Gray dash indicates no pre-breakout condition The PBK uses sophisticated conditions to reduce false signals including minimum squeeze length, significant price movement, and technical confirmations. 4.2 Breakout (BK) Indicator Confirms actual breakouts in progress by identifying: End of squeeze or strong expansion of Bollinger Bands Volume expansion Price moving outside Bollinger Bands EMA crossovers with volume confirmation MACD crossovers with significant price range BK Visual Indicators "●" (Filled Circle): Confirmed breakout in progress Green: Upward breakout (bullish) Red: Downward breakout (bearish) Orange: Unusual breakout pattern without clear direction "◆" (Diamond): Special breakout conditions (meets some but not all criteria) "-" (Dash): Gray dash indicates no breakout detected The BK indicator uses advanced filters for confirmation: Requires consecutive breakout signals to reduce false positives Strong volume confirmation requirements (40% above average) Significant price movement thresholds Consistency checks between price action and indicators 5. Market Metrics and Analysis Price Change Percentage (CHG%) Displays the current percentage change relative to the previous day's close, color-coded green for positive changes and red for negative changes. Average Daily Range (ADR%) Calculates the average daily percentage range over a specified period (default 20 days), helping traders gauge volatility and set appropriate price targets. Average True Range (ATR) Shows the Average True Range value, a volatility indicator developed by J. Welles Wilder that measures market volatility by decomposing the entire range of an asset price for that period. Relative Strength Index (RSI) Displays the standard 14-period RSI, a momentum oscillator that measures the speed and change of price movements on a scale from 0 to 100. 6. External Market Indicators QQQ Change Shows the percentage change in the Invesco QQQ Trust (tracking the Nasdaq-100 Index), useful for understanding broader tech market trends. UVIX Change Displays the percentage change in UVIX, a volatility index, providing insight into market fear and potential hedging activity. BTC-USD Shows the current Bitcoin price from Coinbase, useful for traders monitoring crypto correlation with equities. Market Breadth (BRD) Calculates the percentage difference between ATHI.US and ATLO.US (high vs. low securities), indicating overall market direction and strength. 7. Session Analysis and Volume Direction Session Detection The script accurately identifies different market sessions: Pre-market: 4:00 AM to 9:30 AM Regular market: 9:30 AM to 4:00 PM After-hours: 4:00 PM to 8:00 PM Closed: Outside trading hours This detection works on any timeframe through careful calculation of current time in seconds. Buy/Sell Volume Direction The script analyzes buying and selling pressure by: Counting up volume when close > open Counting down volume when close < open Tracking accumulated volume within the day Calculating intraday pressure (up volume minus down volume) Enhanced AVOL Calculation The improved AVOL calculation works in all timeframes by: Estimating typical pre-market and after-hours volume percentages Combining yesterday's after-hours with today's pre-market volume Calculating this as a percentage of the 21-day average volume Determining buying/selling pressure by analyzing after-hours and pre-market price changes Color-coding results: green for buying pressure, red for selling pressure This calculation is particularly valuable because it works consistently across any timeframe. Customization Options Display Settings The dashboard has two customizable tables: Volume Table and Metrics Table, with positions selectable as bottom_left or bottom_right. All metrics can be individually toggled on/off: Pre-market data (PVOL, P$VOL, PRVOL, PCHG%) Volume data (AVOL, RVOL Day, RVOL 90D, Volume, SEED_YASHALGO_NSE_BREADTH:VOLUME ) Price metrics (ADR%, ATR, RSI, Price Change%) Market indicators (QQQ, UVIX, Breadth, BTC-USD) Analysis indicators (Volume Trend, BB Squeeze, Pre-Breakout, Breakout) These toggle options allow traders to customize the dashboard to show only the metrics they find most valuable for their trading style. Table and Text Customization The dashboard's appearance can be customized: Table background color via tableBgColor Text color (White or Black) via textColorOption The indicator uses smart formatting for volume and price values, automatically adding appropriate suffixes (K, M, B) for readability. MACD Configuration for VTR The Volume Trend calculation incorporates MACD with customizable parameters: Fast Length: Controls the period for the fast EMA (default 3) Slow Length: Controls the period for the slow EMA (default 9) Signal Length: Controls the period for the signal line EMA (default 5) MACD Weight: Controls how much influence MACD has on the volume trend score (default 0.3) These settings allow traders to fine-tune how momentum is factored into the volume trend analysis. Bollinger Bands and Keltner Channel Settings The Bollinger Bands and Keltner Channels used for squeeze detection have preset (hidden) parameters: BB Length: 20 periods BB Multiplier: 2.0 standard deviations Keltner Length: 20 periods Keltner Multiplier: 1.5 ATR These settings follow standard practice for squeeze detection while maintaining simplicity in the user interface. Practical Trading Applications Complete Trading Strategies 1. Squeeze Breakout Strategy This strategy combines multiple components of the indicator: Wait for a strong squeeze (SQZ showing ●) Look for pre-breakout confirmation (PBK showing ● in green or red) Enter when breakout is confirmed (BK showing ● in same direction) Use VTR to confirm volume supports the move (VTR ≥ 65 for bullish or ≤ 35 for bearish) Set profit targets based on ADR (Average Daily Range) Exit when VTR begins to weaken or changes direction 2. Volume Divergence Strategy This strategy focuses on the volume trend relative to price: Identify when price makes a new high but VTR fails to confirm (divergence) Look for VTR to show weakening trend (● changing to ◯ or ·) Prepare for potential reversal when SQZ begins to form Enter counter-trend position when PBK confirms reversal direction Use external indicators (QQQ, BTC, Breadth) to confirm broader market support 3. Pre-Market Edge Strategy This strategy leverages pre-market data: Monitor AVOL for unusual pre-market activity (significantly above 100%) Check pre-market price change direction (PCHG%) Enter position at market open if VTR confirms direction Use SQZ to determine if volatility is likely to expand Exit based on RVOL declining or price reaching +/- ADR for the day Market Context Integration The indicator provides valuable context for trading decisions: QQQ change shows tech market direction BTC price shows crypto market correlation UVIX change indicates volatility expectations Breadth measurement shows market internals This context helps traders avoid fighting the broader market and align trades with overall market direction. Timeframe Optimization The indicator is designed to work across different timeframes: For day trading: Focus on AVOL, VTR, PBK/BK, and use shorter momentum periods For swing trading: Focus on SQZ duration, VTR strength, and broader market indicators For position trading: Focus on larger VTR trends and use EMA alignment weight Advanced Analytical Components Enhanced Volume Trend Score Calculation The VTR score calculation is sophisticated, with the base score starting at 50 and adjusting for: Price direction (up/down) Volume relative to average (high/normal/low) Volume acceleration/deceleration Market conditions (bull/bear) Additional factors are then applied, including: MACD influence weighted by strength and direction Volume change rate influence (speed) Price/volume divergence effects EMA alignment scores Volatility adjustments Breakout strength factors Price action confirmations The final score is clamped between 0-100, with values above 50 indicating bullish conditions and below 50 indicating bearish conditions. Anti-False Signal Filters The indicator employs multiple techniques to reduce false signals: Requiring significant price range (minimum percentage movement) Demanding strong volume confirmation (significantly above average) Checking for consistent direction across multiple indicators Requiring prior bar consistency (consecutive bars moving in same direction) Counting consecutive signals to filter out noise These filters help eliminate noise and focus on high-probability setups. MACD Enhancement and Integration The indicator enhances standard MACD analysis: Calculating MACD relative strength compared to recent history Normalizing MACD slope relative to volatility Detecting MACD acceleration for stronger signals Integrating MACD crossovers with other confirmation factors EMA Analysis System The indicator uses a comprehensive EMA analysis system: Calculating multiple EMAs (5, 10, 21 periods) Detecting golden cross (10 EMA crosses above 21 EMA) Detecting death cross (10 EMA crosses below 21 EMA) Assessing price position relative to EMAs Measuring EMA separation percentage Recent Enhancements and Evolution Version 5.2 includes several improvements: Enhanced AVOL to show buying/selling direction through color coding Improved VTR with adaptive analysis based on market conditions AVOL display now works in all timeframes through sophisticated estimation Removed animal symbols and streamlined code with bright colors for better visibility Improved anti-false signal filters throughout the system Optimizing Indicator Settings For Different Market Types Range-Bound Markets: Lower EMA Alignment Weight (0.2-0.4) Higher Speed of Change Weight (0.8-1.0) Focus on SQZ and PBK signals for breakout potential Trending Markets: Higher EMA Alignment Weight (0.7-1.0) Moderate Speed of Change Weight (0.4-0.6) Focus on VTR strength and BK confirmations Volatile Markets: Enable Volatility Filter Enable Adaptive Volume Analysis Lower Momentum Period (2-3) Focus on strong volume confirmation (VTR ≥ 80 or ≤ 20) For Different Asset Classes Equities: Standard settings work well Pay attention to AVOL for gap potential Monitor QQQ correlation Futures: Consider higher Volume/RVOL weight Reduce MACD weight slightly Pay close attention to SQZ duration Crypto: Higher volatility thresholds may be needed Monitor BTC price for correlation Focus on stronger confirmation signals Integrated Visual System for Trading Decisions The colored circle indicators create an intuitive visual system for quick market assessment: Progression Sequence: SQZ (Squeeze) → PBK (Pre-Breakout) → BK (Breakout) This sequence often occurs in order, with the squeeze leading to pre-breakout conditions, followed by an actual breakout. VTR (Volume Trend): Provides context about the volume supporting these movements. Color Coding: Green for bullish conditions, red for bearish conditions, and orange/gray for neutral or undefined conditions.
Pine Script® 인디케이터
tommyttcat의
TTM Squeeze Momentum MTF [Cometreon]TTM Squeeze Momentum MTF combines the core logic of both the Squeeze Momentum by LazyBear and the TTM Squeeze by John Carter into a single, unified indicator. It offers a complete system to analyze the phase, direction, and strength of market movements. Unlike the original versions, this indicator allows you to choose how to calculate the trend, select from 15 different types of moving averages, customize every parameter, and adapt the visual style to your trading preferences. If you are looking for a powerful, flexible and highly configurable tool, this is the perfect choice for you. 🔷 New Features and Improvements 🟩 Unified System: Trend Detection + Visual Style You can decide which logic to use for the trend via the "Show TTM Squeeze Trend" input: ✅ Enabled → Trend calculated using TTM Squeeze ❌ Disabled → Trend based on Squeeze Momentum You can also customize the visual style of the indicator: ✅ Enable "Show Histogram" for a visual mode using Histogram, Area, or Column ❌ Disable it to display the classic LazyBear-style line Everything updates automatically and dynamically based on your selection. 🟩 Full Customization Every base parameter of the original indicator is now fully configurable: lengths, sources, moving average types, and more. You can finally adapt the squeeze logic to your strategy — not the other way around. 🟩 Multi-MA Engine Choose from 15 different Moving Averages for each part of the calculation: SMA (Simple Moving Average) EMA (Exponential Moving Average) WMA (Weighted Moving Average) RMA (Smoothed Moving Average) HMA (Hull Moving Average) JMA (Jurik Moving Average) DEMA (Double Exponential Moving Average) TEMA (Triple Exponential Moving Average) LSMA (Least Squares Moving Average) VWMA (Volume-Weighted Moving Average) SMMA (Smoothed Moving Average) KAMA (Kaufman’s Adaptive Moving Average) ALMA (Arnaud Legoux Moving Average) FRAMA (Fractal Adaptive Moving Average) VIDYA (Variable Index Dynamic Average) 🟩 Dynamic Signal Line Apply a moving average to the momentum for real-time cross signals, with full control over its length and type. 🟩 Multi-Timeframe & Multi-Ticker Support You're no longer limited to the chart's current timeframe or ticker. Apply the squeeze to any symbol or timeframe without repainting. 🔷 Technical Details and Customizable Inputs This indicator offers a fully modular structure with configurable parameters for every component: 1️⃣ Squeeze Momentum Settings – Choose the source, length, and type of moving average used to calculate the base momentum. 2️⃣ Trend Mode Selector – Toggle "Show TTM Squeeze Trend" to select the trend logic displayed on the chart: ✅ Enabled – Shows the trend based on TTM Squeeze (Bollinger Bands inside/outside Keltner Channel) ❌ Disabled – Displays the trend based on Squeeze Momentum logic 🔁 The moving average type for the Keltner Channel is handled automatically, so you don't need to select it manually, even if the custom input is disabled. 3️⃣ Signal Line – Toggle the Signal Line on the Squeeze Momentum. Select its length and MA type to generate visual cross signals. 4️⃣ Bollinger Bands – Configure the length, multiplier, source, and MA type used in the bands. 5️⃣ Keltner Channel – Adjust the length, multiplier, source, and MA type. You can also enable or disable the True Range option. 6️⃣ Advanced MA Parameters – Customize the parameters for advanced MAs (JMA, ALMA, FRAMA, VIDYA), including Phase, Power, Offset, Sigma, and Shift values. 7️⃣ Ticker & Input Source – Select the ticker and manage inputs for alternative chart types like Renko, Kagi, Line Break, and Point & Figure. 8️⃣ Style Settings – Choose how the squeeze is displayed: Enable "Show Histogram" for Histogram, Area, or Column style Disable it to show the classic LazyBear-style line Use Reverse Color to invert line colors Toggle Show Label to highlight Signal Line cross signals Customize trend colors to suit your preferences 9️⃣ Multi-Timeframe Options - Timeframe – Use the squeeze on higher timeframes for stronger confirmation 🔟 Wait for Timeframe Closes - ✅ Enabled – Prevents multiple signals within the same candle ❌ Disabled – Displays the indicator smoothly without delay 🔧 Default Settings Reference To replicate the default settings of the original indicators as they appear when first applied to the chart, use the following configurations: 🟩 TTM Squeeze (John Carter Style) Squeeze Length: 20 MA Type: SMA Show TTM Squeeze Trend: Enabled Bollinger Bands Length: 20 Multiplier: 2.0 MA Type: SMA Keltner Channel Length: 20 Multiplier: 1.0 Use True Range: ON MA Type: EMA Style Show Histogram: Enabled Reverse Color: Enabled 🟩 Squeeze Momentum (LazyBear Style) Squeeze Length: 10 MA Type: SMA Show TTM Squeeze Trend: Disabled Bollinger Bands Length: 20 Multiplier: 1.5 MA Type: SMA Keltner Channel Length: 10 Multiplier: 1.5 Use True Range: ON MA Type: SMA Style Show Histogram: Disabled Reverse Color: Disabled ⚠️ These values are intended as a starting point. The Cometreon indicator lets you fully customize every input to fit your trading style. 🔷 How to Use Squeeze Momentum Pro 🔍 Identifying Trends Squeeze Momentum Pro supports two different methods for identifying the trend visually, each based on a distinct logic: Squeeze Momentum Trend (LazyBear-style): Displays 3 states based on the position of the Bollinger Bands relative to the Keltner Channel: 🔵 Blue = No Squeeze (BB outside KC and KC outside BB) ⚪️ White = Squeeze Active (BB fully inside KC) ⚫️ Gray = Neutral state (none of the above) TTM Squeeze Trend (John Carter-style): Calculates the difference in width between the Bollinger Bands and the Keltner Channel: 🟩 Green = BB width is greater than KC → potential expansion phase 🟥 Red = BB are tighter than KC → possible compression or pre-breakout 📈 Interpreting Signals Depending on the active configuration, the indicator can provide various signals, including: Trend color → Reflects the current compression/expansion state (based on selected mode) Momentum value (above or below 0) → May indicate directional pressure Signal Line cross → Can highlight momentum shifts Color change in the momentum → May suggest a potential trend reversal 🛠 Integration with Other Tools Squeeze Momentum Pro works well alongside other indicators to strengthen market context: ✅ Volume Profile / OBV – Helps confirm accumulation or distribution during squeezes ✅ RSI – Useful to detect divergence between momentum and price ✅ Moving Averages – Ideal for defining primary trend direction and filtering signals ☄️ If you find this indicator useful, leave a Boost to support its development! Every piece of feedback helps improve the tool and deliver an even better trading experience. 🔥 Share your ideas or feature requests in the comments!
Pine Script® 인디케이터
Cometreon의
2