RouterOrdersIronLibrary "RouterOrdersIron"
Library for routing orders to the Binance exchange.
MsgDoLongMKT(id, symbol, balance)
Returns json for Iron to buy a symbol for the amount of the balance with market order.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoShortMKT(id, symbol, balance)
Returns json for Iron to sell a symbol for the amount of the balance with market order.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoLongLR(id, symbol, balance)
Returns json for Iron to buy a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
MsgDoShortLR(id, symbol, balance)
Returns json for Iron to sell a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoLongMKT(id, symbol, balance)
Buy a symbol for the amount of the balance. It is send market order to Iron.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoShortMKT(id, symbol, balance)
Sell a symbol for the amount of the balance. It is send market order to Iron.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoLongLR(id, symbol, balance)
Buy a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
DoShortLR(id, symbol, balance)
Sell a symbol for the amount of the balance. It is set at the best price and is re-set each time if a new price has risen before the application.
Parameters:
id : ID of your Iron router.
symbol : Symbol for a trade, BTC example
balance : The amount for which to carry out the transaction.
Returns: true
GetQty(price, balance)
Get Qty for strategy on balance
Parameters:
price : Order price
balance : The amount for which to carry out the transaction.
Returns: Qty for strategy order TV
Wyszukaj w skryptach "alert"
TradingHookLibrary "TradingHook"
This library is a client script for making a webhook signal formatted string to TradingHook webhook server.
buy_message(password, amount, order_name) Make a buy Message for TradingHook.
Parameters:
password : (string) password that you set in .env file.
amount : (float) amount. If not set, your strategy qty will be sent.
order_name : (string) order_name. The default name is "Order".
Returns: (string) A string containing the formatted webhook message.
sell_message(password, percent, order_name) Make a sell message for TradingHook.
Parameters:
password : (string) password that you set in .env file.
percent : (string) what percentage of your quantity you want to sell.
order_name : (string) order_name. The default name is "Order".
Returns: (string) A string containing the formatted webhook message.
You can use TradingHook WebServer open source code in github(github.com)
Timed_exit_alert_for_webhookLibrary "Timed_exit_alert_for_webhook"
TODO: add library description here
fun(x) TODO: add function description here
Parameters:
x : TODO: add parameter x description here
Returns: TODO: add what function returns
for exiting FCM like Tradovate and AMP using API and python MT5 and Webhooks
the writer take no responsibility for trades made using this script its written for informational purposes only
MakeLoveNotWarLibrary "MakeLoveNotWar"
Make Love Not War, place a flag of support on your chart!
flag(pos, text_size) Make Love Not War function.
Parameters:
pos : string, position.
text_size : string, text size.
Returns: table.
The Divergent LibraryLibrary "TheDivergentLibrary"
The Divergent Library is only useful when combined with the Pro version of The Divergent - Advanced divergence indicator . This is because the Basic (free) version of The Divergent does not expose the "Divergence Signal" value.
Usage instructions:
1. Create a new chart
2. Add The Divergent (Pro) indicator to your chart
3. Create a new strategy, import this library, add a "source" input, link it to "The Divergent: Divergence Signal", and use the library to decode the divergence signals from The Divergent (You can find example strategy code published in our profile)
4. Act on the divergences signalled by The Divergent
---
isRegularBullishEnabled(context) Returns a boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bullish divergence detection is enabled in The Divergent.
isHiddenBullishEnabled(context) Returns a boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bullish divergence detection is enabled in The Divergent.
isRegularBearishEnabled(context) Returns a boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Regular Bearish divergence detection is enabled in The Divergent.
isHiddenBearishEnabled(context) Returns a boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating whether Hidden Bearish divergence detection is enabled in The Divergent.
getPivotDetectionSource(context) Returns the 'Pivot Detection Source' setting of The Divergent. The returned value can be either "Oscillator" or "Price".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Oscillator" or "Price".
getPivotDetectionMode(context) Returns the 'Pivot Detection Mode' setting of The Divergent. The returned value can be either "Bodies" or "Wicks".
Parameters:
context : The context of The Divergent Library.
Returns: One of the following string values: "Bodies" or "Wicks".
isLinked(context) Returns a boolean value indicating the link status to The Divergent indicator.
Parameters:
context : The context of The Divergent Library.
Returns: A boolean value indicating the link status to The Divergent indicator.
init(firstBarSignal, displayLinkStatus, debug) Initialises The Divergent Library's context with the signal produced by The Divergent on the first bar. The value returned from this function is called the "context of The Divergent Library". Some of the other functions of this library requires you to pass in this context.
Parameters:
firstBarSignal : The signal from The Divergent indicator on the first bar.
displayLinkStatus : A boolean value indicating whether the Link Status window should be displayed in the bottom left corner of the chart. Defaults to true.
debug : A boolean value indicating whether the Link Status window should display debug information. Defaults to false.
Returns: A bool array containing the context of The Divergent Library.
processSignal(signal) Processes a signal from The Divergent and returns a 5-tuple with the decoded signal: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd]. `divergenceType` can be one of the following values: na → No divergence was detected, 1 → Regular Bullish, 2 → Regular Bullish early, 3 → Hidden Bullish, 4 → Hidden Bullish early, 5 → Regular Bearish, 6 → Regular Bearish early, 7 → Hidden Bearish, 8 → Hidden Bearish early.
Parameters:
signal : The signal from The Divergent indicator.
Returns: A 5-tuple with the following values: [ int divergenceType, int priceBarIndexStart, int priceBarIndexEnd, int oscillatorBarIndexStart, int oscillatorBarIndexEnd].
DiscordWebhookFunctionLibrary "DiscordWebhookFunction"
discordMarkdown(_str, _italic, _bold, _code, _strike, _under) Convert string to markdown formatting User can combine any function at the same time.
Parameters:
_str : String input
_italic : Italic
_bold : Bold
_code : Code markdown
_strike : Strikethrough
_under : Underline
Returns: string Markdown formatted string.
discordWebhookJSON(_username, _avatarImgUrl, _contentText, _bodyTitle, _descText, _bodyUrl, _embedCol, _timestamp, _authorName, _authorUrl, _authorIconUrl, _footerText, _footerIconUrl, _thumbImgUrl, _imageUrl) Convert data to JSON format for Discord Webhook Integration.
Parameters:
_username : Override bot (webhook) username string / name,
_avatarImgUrl : Override bot (webhook) avatar by image URL,
_contentText : Main content page message,
_bodyTitle : Custom Webhook's embed message body title,
_descText : Webhook's embed message body description,
_bodyUrl : Webhook's embed body direct link URL,
_embedCol : Webhook's embed color,
_timestamp : Timestamp,
_authorName : Webhook's embed author name / title,
_authorUrl : Webhook's embed author direct link URL,
_authorIconUrl : Webhook's embed author icon by image URL,
_footerText : Webhook's embed footer text / title,
_footerIconUrl : Webhook's embed footer icon by image URL,
_thumbImgUrl : Webhook's embed thumbnail image URL,
_imageUrl : Webhook's embed body image URL.
Returns: string Single-line JSON format
[ALERTS] MA Cross HildiIch habe nur einige Modifikationen vorgenommen, so dass es meinen Bedürfnissen gerecht wird. Das Skript dient lediglich dazu die gleiche Einstellungen auf mehreren Konten nutzen zu können. Allein die Farbe und die Symbole habe ich noch nicht Automatisiert übertragen.
mfg Hildi Channel
Alert WhiteBox ShiftMAStrategy
The blue line is SMA .
The lime line = SMA - the shift parameter (%).
Red line = SMA + shift parameter (%).
Strategy uses limit orders. For opening of positions and for closing of positions.
If the price is lower than the lime line - opens a long position.
If the price is higher than the red line - opens a short position.
The position is closed on the blue line ( SMA ). Long and short.
Customizable trailing Stop For Manual EntriesHere's how to create a trailing stop with a manual buy order, on an exchange that does not support native trailing stops. Code can easily be copy+pasted into your normal algos.
To set the entry price for your manual trade, specify the bar time when the trade was made. Note that the time you specify needs to correspond to an opening time on your chart--if it's a 3 hour chart, 6 pm or 9 pm will work, but 8 PM will not. It's not as bad as it sounds though, read on :)
Per usual I keep multiple options open.
Special features in this script:
Change time frame for trailing
Specify trailing parameter (high, close, hlc3, etc.)
Change time frame for stop loss trigger (use a shorter time frame for earlier exits!)
Specify trigger parameter (close, low, hlc3, etc.)
Remember that annoying issue where you might not be able to precisely specify entry price, because you want to use 3 hour closing prices for your trailing stop but you bought in at 7:41 pm? Add this indicator to a 1 minute chart and set your start time to 19:41, then set the trailing time frame to 3 hours!
Next stop is v2, where we take profits along the way before stop loss gets triggered.
Ultimate Trend Strategy ToolIt sounds like you're trying to publish or save your Pine Script indicator on TradingView and it's asking for a description. Here's a comprehensive description you can use:
Short Description (Title)
Ultimate Trend Strategy Tool - Multi-Timeframe Analysis with Alerts
Full Description
Overview:
The Ultimate Trend Strategy Tool is a comprehensive technical analysis indicator that combines multiple proven trading methodologies into a single, powerful overlay indicator. It automatically identifies trend lines, Fibonacci retracements, candlestick patterns, and volume confirmations to help traders make informed decisions.
Key Features:
📊 Dynamic Trend Line Detection
Automatically identifies and draws support/resistance trend lines
Adjustable sensitivity for trend line confirmation (default: 3 touches)
Visual alerts for trend line bounces and breakouts
📐 Fibonacci Retracement Levels
Auto-calculates Fibonacci levels based on recent swing highs/lows
Customizable retracement levels (0.236, 0.382, 0.5, 0.618, 0.786)
Proximity alerts when price approaches key Fibonacci levels
📈 Dual Moving Average System
Two customizable moving averages (SMA, EMA, WMA, RMA)
Default: 34-period SMA and 89-period EMA
Helps identify trend direction and potential crossovers
🕯️ Candlestick Pattern Recognition
Detects Hammer, Engulfing, and Doji patterns
Option to highlight patterns only near trend lines
Visual markers for each pattern type
📊 Volume Confirmation
Highlights bars with above-average volume
Customizable volume threshold percentage
Helps confirm breakouts and trend changes
🔔 Comprehensive Alert System
Trend line bounce alerts
Trend line breakout alerts
Fibonacci level approach alerts
Candlestick pattern confirmation alerts
How to Use:
Add the indicator to your chart
Adjust the sensitivity and lookback periods to match your trading style
Enable/disable specific features based on your strategy
Set up alerts for the signals you want to monitor
Best Timeframes:
Works on all timeframes, but optimized for 15-minute to daily charts.
Ideal For:
Swing traders looking for trend reversals
Day traders seeking support/resistance levels
Position traders monitoring key technical levels
Anyone wanting automated technical analysis
Input Parameters:
Trend Line Sensitivity (2-10)
Lookback Bars (10-1000)
Fibonacci Swing Lookback (15-500)
MA Types and Periods
Volume Threshold
Pattern Selection Options
Alert Configuration
Version: 6.0
Pine Script Version: v6
We Buy / We Sell - #TheStrat SignalsWe Buy / We Sell - #TheStrat SignalsDescription
This indicator is inspired by the #TheStrat methodology from Rob Smith, designed to identify high-probability "We Buy" (bullish) and "We Sell" (bearish) signals for trading stocks, ETFs, or futures like AMEX:SPY or $VSAT. It combines price action reversal patterns, higher timeframe continuity (HTFC), and optional broadening formation (BF) breaks to time entries with market momentum. Key Features: We Buy Signals: Triggered on a 2d-2u reversal (bearish to bullish candle) when the higher timeframe (HTF) is bullish (green) and optionally at a BF bottom (pivot low break). Labeled as "We Buy" at the candle’s low with a green triangle.
We Sell Signals: Triggered on a 2u-2d reversal (bullish to bearish candle) when the HTF is bearish (red) and optionally at a BF top (pivot high break). Labeled as "We Sell" at the candle’s high with a red triangle.
Candle Numbering: Displays #TheStrat candle types (1=Inside, 2u=Up, 2d=Down, 3=Outside) for context.
Debug Labels: Enabled by default, showing why signals don’t fire (e.g., "No HTFC Buy" if HTF isn’t bullish).
Partial Signals: Optional faint circles for 2d-2u or 2u-2d reversals (without HTFC/BF), disabled by default.
HTFC Background: Green (HTF bullish) or red (HTF bearish) background for timeframe alignment.
How It Works
Based on #TheStrat, the indicator seeks evidence of aggressive buying ("We Buy") or selling ("We Sell") by analyzing: Reversal Patterns: 2d-2u (We Buy): A bearish directional candle (2d) followed by a bullish directional candle (2u), signaling a potential bullish reversal.
2u-2d (We Sell): A bullish directional candle (2u) followed by a bearish directional candle (2d), signaling a potential bearish reversal.
Higher Timeframe Continuity (HTFC): We Buy requires the HTF (e.g., 1H or Daily) to close above its open (bullish).
We Sell requires the HTF to close below its open (bearish).
Broadening Formation (BF): Optional pivot high/low breaks approximate BF extremes (tops for We Sell, bottoms for We Buy).
Can be disabled (use_bf=false) for more frequent signals.
How to Use Setup: Apply to a 5min chart of a liquid asset (e.g., AMEX:SPY , NASDAQ:VSAT ) for intraday trading, or higher timeframes for swing trading.
Ensure sufficient chart history (TradingView > Chart Settings > Max Bars > 1000+).
Settings: Higher Timeframe (htf): Default "60" (1H). Try "15" (15min) for faster signals or "D" (Daily) for swing trades.
Pivot Lookback Length (pivot_len): Default 3. Lower to 1 for more signals, higher for stricter BF breaks.
Require Broadening Formation (use_bf): Default true. Set to false to skip BF checks, increasing signal frequency.
Show We Buy/We Sell Labels: Default true. Shows "We Buy" or "We Sell" on signal candles.
Show Candle Numbers: Default true. Displays 1/2u/2d/3 for #TheStrat context.
Show Debug Labels: Default true. Shows "No HTFC Buy", "No BF Buy", etc., to diagnose missing signals.
Show Partial Signals: Default false. Enable to show faint circles for 2d-2u/2u-2d reversals without HTFC/BF.
Trading: We Buy: Enter long on a green "We Buy" label (with triangle). Set stops below the signal candle’s low. Target BF highs or resistance.
We Sell: Enter short on a red "We Sell" label (with triangle). Set stops above the signal candle’s high. Target BF lows or support.
Use debug labels to understand why signals don’t fire (e.g., "No HTFC Buy" means HTF isn’t bullish).
Partial signals (faint circles) indicate reversals without full conditions, useful for discretionary setups.
Alerts: Right-click the indicator > "Add Alert" on we_buy or we_sell for real-time notifications.
Tips Best Assets: Use on liquid tickers like AMEX:SPY , NASDAQ:QQQ , or NASDAQ:VSAT , as seen in @AlexsOptions
’ examples.
Volatility: Signals are more frequent in trending or volatile markets. Check historical periods (e.g., September 2025) for testing.
Risk Management: Always use stops (e.g., 1-2% risk per trade) and validate signals with market context (e.g., sector/index alignment).
Learning #TheStrat: Study Rob Smith’s #TheStrat for deeper understanding of candle types and FTFC.
Troubleshooting No Signals? Check debug labels (e.g., "No HTFC Buy" means HTF isn’t bullish). Adjust htf (e.g., "15" or "D").
Set use_bf=false or lower pivot_len to 1 for more signals.
Ensure reversals (2d-2u or 2u-2d) are present (check candle numbers).
Test on volatile periods or liquid tickers.
No Partial Signals? Enable show_partial in settings to see faint circles for 2d-2u/2u-2d reversals.
Confirm reversal patterns exist (e.g., "2d" → "2u" in candle numbers).
Chart Fusion Line SND Detection by TitikSona🧭 Overview
Fusion Line Momentum Analyzer is a momentum visualization tool that introduces a unified model of oscillator fusion.
It blends Fast and Slow Stochastics with RSI into one adaptive curve, designed to eliminate conflicting signals between different momentum sources.
Instead of reading three separate oscillators, the Fusion Line provides a consolidated view of strength and exhaustion zones in a single framework.
This approach helps analysts detect aligned momentum shifts with greater clarity and less noise, without repainting or lagging methods.
⚙️ Core Concept
Traditional oscillators often provide conflicting readings when volatility changes.
To solve this, the Fusion Line averages three normalized components:
Fast Stochastic (12,3,3) — reacts quickly to short-term momentum spikes.
Slow Stochastic (100,8,8) — filters long-term momentum context.
RSI (26) — measures internal strength between buying and selling pressure.
Each is rescaled to a 0–100 range, then averaged into a single curve called the Fusion Line.
A secondary Signal Line (SMA 9) is added to visualize directional confirmation.
This combination aims to preserve responsiveness from the fast components while maintaining structural stability from the slow and RSI layers.
🌈 Features
Unified momentum curve combining stochastic and RSI dynamics.
Automatic bias shading to highlight dominant trend direction.
Real-time percentage strength meter (visual intensity).
Configurable alert triggers on key momentum zones (20/80).
Clean chart display without unnecessary elements or overlays.
📘 Interpretation
Rising Fusion Line → indicates strengthening bullish momentum.
Falling Fusion Line → indicates strengthening bearish pressure.
Fusion values below 20 → potential oversold recovery.
Fusion values above 80 → possible exhaustion or reversal zone.
Mid-zone movement → reflects equilibrium or sideways momentum.
These readings should always be combined with higher timeframe structure or volume confirmation for context.
⚙️ Default Parameters
Fast Stochastic (12,3,3)
Slow Stochastic (100,8,8)
RSI Length (26)
Signal Line Smoothing (9)
All values can be adjusted to adapt to asset volatility or timeframe conditions.
⚠️ Disclaimer
This indicator is a research and visualization tool, not a signal generator.
It does not predict price movement or guarantee performance.
Use for analytical purposes only and combine with your own trading framework.
👨💻 Developer
Created by TitikSona — Research & Fusion Concept Designer
Built using Pine Script v6
Type: Open-source educational script
💬 Short Description
Fusion-based momentum visualization combining Double Stochastic and RSI into one adaptive line for clearer, noise-free momentum analysis.
MTF Squeeze Analyzer - [tradeviZion]MTF Squeeze Analyzer
Multi-Timeframe Squeeze Pro Analyzer Tool
Overview:
The MTF Squeeze Analyzer is a comprehensive tool designed to help traders monitor the TTM Squeeze indicator across multiple timeframes in a streamlined and efficient manner. Built with Pine Script™ version 5, this indicator enhances your market analysis by providing detailed insights into squeeze conditions and momentum shifts, enabling you to make more informed trading decisions.
Key Features:
1. Multi-Timeframe Monitoring:
Comprehensive Coverage: Track squeeze conditions across multiple timeframes, including 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, 2-hour, 4-hour, and daily charts.
Squeeze Counts: Keep count of the number of consecutive bars the price has been within each squeeze level (low, mid, high), helping you assess the strength and duration of consolidation periods.
2. Dynamic Table Display:
Customizable Appearance: Adjust table position, text size, and colors to suit your preferences.
Color-Coded Indicators: Easily identify squeeze levels and momentum shifts with intuitive color schemes.
Message Integration: Features rotating messages to keep you engaged and informed.
3. Alerts for Key Market Events:
Squeeze Start and Fire Alerts: Receive notifications when a squeeze starts or fires on your selected timeframes.
Custom Squeeze Count Alerts: Set thresholds for squeeze counts and get alerted when these levels are reached, allowing you to anticipate potential breakouts.
Fully Customizable: Choose which alerts you want to receive and tailor them to your trading strategy.
4. Momentum Analysis:
Momentum Oscillator: Visualize momentum using a histogram that changes color based on momentum shifts.
Detailed Insights: Determine whether momentum is increasing or decreasing to make more strategic trading decisions.
How It Works:
The indicator is based on the TTM Squeeze concept, which identifies periods of low volatility where the market is "squeezing" before a potential breakout. It analyzes the relationship between Bollinger Bands and Keltner Channels to determine squeeze conditions and uses linear regression to calculate momentum.
1. Squeeze Levels:
No Squeeze (Green): Market is not in a squeeze.
Low Compression Squeeze (Gray): Mild consolidation, potential for a breakout.
Mid Compression Squeeze (Red): Moderate consolidation, higher breakout potential.
High Compression Squeeze (Orange): Strong consolidation, significant breakout potential.
2. Squeeze Counts:
Tracks the number of consecutive bars in each squeeze condition.
Helps identify how long the market has been consolidating, providing clues about potential breakout timing.
3. Momentum Histogram:
Upward Momentum: Shown in aqua or blue, indicating increasing or decreasing upward momentum.
Downward Momentum: Displayed in red or yellow, representing increasing or decreasing downward momentum.
Using Alerts:
Stay ahead of market movements with customizable alerts:
1. Enable Alerts in Settings:
Squeeze Start Alert: Get notified when a new squeeze begins.
Squeeze Fire Alert: Be alerted when a squeeze ends, signaling a potential breakout.
Squeeze Count Alert: Set a specific number of bars for a squeeze condition, and receive an alert when this count is reached.
2. Set Up Alerts on Your Chart:
Click on the indicator name and select " Add Alert on MTF Squeeze Analyzer ".
Choose your desired alert conditions and customize the notification settings.
Click " Create " to activate the alerts.
How to Set It Up:
1. Add the Indicator to Your Chart:
Search for " MTF Squeeze Analyzer " in the TradingView Indicators library.
Add it to your chart.
2. Customize Your Settings:
Table Display:
Choose whether to show the table and select its position on the chart.
Adjust text size and colors to enhance readability.
Timeframe Selection:
Select the timeframes you want to monitor.
Enable or disable specific timeframes based on your trading strategy.
Colors & Styles:
Customize colors for different squeeze levels and momentum shifts.
Adjust header and text colors to match your chart theme.
Alert Settings:
Enable alerts for squeeze start, squeeze fire, and squeeze counts.
Set your preferred squeeze type and count threshold for alerts.
3. Interpret the Data:
Table Information:
The table displays the squeeze status and counts for each selected timeframe.
Colors indicate the type of squeeze, making it easy to assess market conditions at a glance.
Momentum Histogram:
Use the histogram to gauge the strength and direction of market momentum.
Observe color changes to identify shifts in momentum.
Why Use MTF Squeeze Analyzer ?
Enhanced Market Insight:
Gain a deeper understanding of market dynamics by monitoring multiple timeframes simultaneously.
Identify potential breakout opportunities by analyzing squeeze durations and momentum shifts.
Customizable and User-Friendly:
Tailor the indicator to fit your trading style and preferences.
Easily adjust settings without needing to delve into the code.
Time-Efficient:
Save time by viewing all relevant squeeze information in one place.
Reduce the need to switch between different charts and timeframes.
Stay Informed with Alerts:
Never miss a critical market movement with fully customizable alerts.
Focus on other tasks while the indicator monitors the market for you.
Acknowledgment:
This tool builds upon the foundational work of John Carter , who developed the TTM Squeeze concept. It also incorporates enhancements from LazyBear and Makit0 , providing a more versatile and powerful indicator. MTF Squeeze Analyzer extends these concepts by adding multi-timeframe analysis, squeeze counting, and advanced alerting features, offering traders a comprehensive solution for market analysis.
Note: Always practice proper risk management and test the indicator thoroughly to ensure it aligns with your trading strategy. Past performance is not indicative of future results.
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