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SAT_BACKTEST @description TODO: Regroupement of useful functionsLibrary "SAT_BACKTEST" ex_timezone(tz)   switch case return exact @timezone for timezone input   Parameters:      tz (simple string)   Returns: syminfo.timezone or tz if_in_date_range(usefromDate, fromDate, usetoDate, toDate, src_timezone, dst_timezone)   if_in_date_range : check if @time_close is range   Parameters:      usefromDate (simple bool)      fromDate (simple int)      usetoDate (simple bool)      toDate (simple int)      src_timezone (simple string)      dst_timezone (simple string)   Returns: true if @time_close is range if_in_session(useSessionStart, sessionStartHour, sessionStartMinute, useSessionEnd, sessionEndHour, sessionEndMinute, useSessionDay, mon, tue, wed, thu, fri, sat, sun, src_timezone, dst_timezone)   if_in_session : check if @time_close is range   Parameters:      useSessionStart (simple bool)      sessionStartHour (simple int)      sessionStartMinute (simple int)      useSessionEnd (simple bool)      sessionEndHour (simple int)      sessionEndMinute (simple int)      useSessionDay (simple bool)      mon (simple bool)      tue (simple bool)      wed (simple bool)      thu (simple bool)      fri (simple bool)      sat (simple bool)      sun (simple bool)      src_timezone (simple string)      dst_timezone (simple string)   Returns: true if @time_close is range
Perpustakaan Pine Script®
oleh sosso_bott
jsonLibrary "json" JSON Easy Object Create/stringiffy Functions to add/write JSON new (name , kind) -> object set (_item , _obj , _key ) -> key index for parent object's array add (_obj , _key , _item ) -> key index for parent object's array write (object , kind ) -> stringified object // (enter kind to cut off key ) ============================================ obj   obj Object storage container/item   Fields:      key : (string ) item name      kind : (string ) item's type(for writing)      item : (string ) item (converted to string)      keys : (string ) keys of all sub-items and objects      items : (obj ) nested obj off individual subitems (for later...) ============================================ new(_name, _kind)   create multitype object   Parameters:      _name : (string) Name off object      _kind : (string) Preset Type (_OBJECT if a container item)   Returns: object container/item 2-in-1 ============================================ add(_item, _obj, _key)   Set item to object obj item (same as set, prep for future Pine methods)   Parameters:      _item : ( int / float / bool / string )      _obj : (obj multi-type-item object)      _key : ( string ) set(_item, _obj, _key)   Set item to object obj item (same as add, prep for future Pine methods)   Parameters:      _item : ( int / float / bool / string )      _obj : (obj multi-type-item object)      _key : ( string ) addstore(_parent, _child)   Add a object as a subobject to storage (Future upgrade to write/edit)   Parameters:      _parent : to insert obj into      _child : to be inserted setstore(_child, _parent)   Add a object as a subobject to storage (Future upgrade to write/edit)   Parameters:      _child : to be inserted      _parent : to insert obj into add(_parent, _child)   Add a object as a string rendered item   Parameters:      _parent : to insert obj into      _child : to be inserted set(_child, _parent)   Add a object as a string rendered item   Parameters:      _child : to be inserted      _parent : to insert obj into ============================================ write(_object, _key, _itemname)   Write object to string Object   Parameters:      _object : (obj)      _key : (array<(string/int)> )/(string)      _itemname : (string)   Returns: stringified flattened object. clean_output(_str)   Clean JSON final output   Parameters:      _str : string json item   Returns: cleaned string
Perpustakaan Pine Script®
oleh kaigouthro
9
libcompressLibrary "libcompress" numbers compressor for large output data compression compress_fp24()   converts float to base64 (4 chars) | 24 bits: 1 sign + 5 exponent + 18 mantissa   Returns: 4-character base64_1/5/18 representation of x compress_ufp18()   converts unsigned float to base64 (3 chars) | 18 bits: 5 exponent + 13 mantissa   Returns: 3-character base64_0/5/13 representation of x compress_int()   converts int to base64
Perpustakaan Pine Script®
oleh pro1007ka
PineHelperLibrary "PineHelper" This library provides various functions to reduce your time. recent_opentrade_entry_bar_index()   get a recent opentrade entry bar_index   Returns: (int) bar_index recent_closedtrade_entry_bar_index()   get a recent closedtrade entry bar_index   Returns: (int) bar_index recent_closedtrade_exit_bar_index()   get a recent closedtrade exit bar_index   Returns: (int) bar_index all_opnetrades_roi()   get all aopentrades roi   Returns: (float) roi bars_since_recent_opentrade_entry()   get bars since recent opentrade entry   Returns: (int) number of bars bars_since_recent_closedtrade_entry()   get bars since recent closedtrade entry   Returns: (int) number of bars bars_since_recent_closedtrade_exit()   get bars since recent closedtrade exit   Returns: (int) number of bars recent_opentrade_entry_id()   get recent opentrade entry ID   Returns: (string) entry ID recent_closedtrade_entry_id()   get recent closedtrade entry ID   Returns: (string) entry ID recent_closedtrade_exit_id()   get recent closedtrade exit ID   Returns: (string) exit ID recent_opentrade_entry_price()   get recent opentrade entry price   Returns: (float) price recent_closedtrade_entry_price()   get recent closedtrade entry price   Returns: (float) price recent_closedtrade_exit_price()   get recent closedtrade exit price   Returns: (float) price recent_opentrade_entry_time()   get recent opentrade entry time   Returns: (int) time recent_closedtrade_entry_time()   get recent closedtrade entry time   Returns: (int) time recent_closedtrade_exit_time()   get recent closedtrade exit time   Returns: (int) time time_since_recent_opentrade_entry()   get time since recent opentrade entry   Returns: (int) time time_since_recent_closedtrade_entry()   get time since recent closedtrade entry   Returns: (int) time time_since_recent_closedtrade_exit()   get time since recent closedtrade exit   Returns: (int) time recent_opentrade_size()   get recent opentrade size   Returns: (float) size recent_closedtrade_size()   get recent closedtrade size   Returns: (float) size all_opentrades_size()   get all opentrades size   Returns: (float) size recent_opentrade_profit()   get recent opentrade profit   Returns: (float) profit all_opentrades_profit()   get all opentrades profit   Returns: (float) profit recent_closedtrade_profit()   get recent closedtrade profit   Returns: (float) profit recent_opentrade_max_runup()   get recent opentrade max runup   Returns: (float) runup recent_closedtrade_max_runup()   get recent closedtrade max runup   Returns: (float) runup recent_opentrade_max_drawdown()   get recent opentrade maxdrawdown   Returns: (float) mdd recent_closedtrade_max_drawdown()   get recent closedtrade maxdrawdown   Returns: (float) mdd max_open_trades_drawdown()   get max open trades drawdown   Returns: (float) mdd recent_opentrade_commission()   get recent opentrade commission   Returns: (float) commission recent_closedtrade_commission()   get recent closedtrade commission   Returns: (float) commission qty_by_percent_of_equity(percent)   get qty by percent of equtiy   Parameters:      percent : (series float) percent that you want to set   Returns: (float) quantity qty_by_percent_of_position_size(percent)   get size by percent of position size   Parameters:      percent : (series float) percent that you want to set   Returns: (float) size is_day_change()   get bool change of day   Returns: (bool) day is change or not is_in_trade()   get bool using number of bars   Returns: (bool) allowedToTrade discord_message(name, message)   get json format discord message   Parameters:      name : (string) name of bot      message : (string) message that you want to send   Returns: (string) json format string telegram_message(chat_id, message)   get json format telegram message   Parameters:      chat_id : (string) chatId of bot      message : (string) message that you want to send   Returns: (string) json format string
Perpustakaan Pine Script®
oleh dokang
6
Binance_Min_Limit_Order_amount_libraryLibrary "Binance_Min_Limit_Order_amount_library" TODO: This library give us the minimum Limit Order amount for the contract in Binance. m_qty(n_v, m_fee, t_fee, cost, m_t)   TODO: it give us the Minimum Qty for the trading in Binance   Parameters:      n_v : TODO: min_notional_value. 5 dollar is the minimum notional amount in Binance at the moment.      m_fee : TODO: maker_fee %      t_fee : TODO: taker_fee %      cost : TODO: your investing money      m_t : TODO: if you want Limit_Order, put the "T", if you want Market_Order, put the "M" defval="M"   Returns: TODO: for the coin of binance on your chart, Reference: www.binance.com
Perpustakaan Pine Script®
oleh potatoshop
1
LevelsManagerLibrary "LevelsManager" TODO: Track up to 6 TakeProfits and 1 StopLoss achievement for one or many of your buy/sell conditions. manageTrade(bool, bool, bool, string, string, float, float, bool, bool, bool, bool, bool, bool, float, float, float, float, float, float, float)   Track TakeProfits and StopLoss achievement for one or many of your buy/sell conditions. CHECK the commented section: "Function @manageTrade" for Description   Parameters:      bool : useSignal.      bool : b_gameOVer.      bool : b_gameOVer.      string : bName.      string : sName.      float : buyEntrySource.      float : sellEntrySource.      bool : useTp1.      bool : useTp2.      bool : useTp3.      bool : useTp4.      bool : useTp5.      bool : useTp6.      float : tp1x.      float : tp2x.      float : tp3x.      float : tp4x.      float : tp5x.      float : tp6x.      float : slx.   Returns: check commented section: "Function @manageTrade". showOnlyFirstOccurence(booleanInput)   Single out the occurence of a bool series between to 2 bool series.   Parameters:      booleanInput : to activate or deactivate occurences filtering.   Returns: filterred or not bool series.
Perpustakaan Pine Script®
oleh sosso_bott
5
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
Perpustakaan Pine Script®
oleh HPotter
2
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)
Perpustakaan Pine Script®
oleh dokang
1
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].
Perpustakaan Pine Script®
oleh WhiteboxSoftware
2
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
Perpustakaan Pine Script®
oleh wlhm
25
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.
Penunjuk Pine Script®
oleh Gesundheit
9
FlowFusion Money Flow — FP + VWAP Drift + PVT (−100..+100)Title (ASCII only) FlowFusion Money Flow — Flow Pressure + Rolling VWAP Drift + PVT (Normalized −100..+100) Short Description Original money-flow oscillator combining Flow Pressure, Rolling VWAP Drift, and PVT Momentum into one normalized score (−100..+100) with a signal line, thresholds, optional component plots, and ready-made alerts. Full Description (meets “originality & usefulness”) What’s original FlowFusion Money Flow is not a generic mashup. It builds a single score from three complementary, volume-aware components that target different facets of order flow: Flow Pressure (FP) — In-bar directional drive scaled by relative volume. Drive = close − open max ⁡ ( high − low ,  tick ) ∈ = max(high−low, tick) close−open ​ ∈ . Relative Volume = volume average volume over  𝑓 𝑝 𝐿 𝑒 𝑛 = average volume over fpLen volume ​ . 𝐹 𝑃 𝑟 𝑎 𝑤 = Drive × RelVol FP raw ​ =Drive×RelVol then squashed (softsign) to . Why it belongs: distinguishes real pushes (big body and big volume) from noise. Rolling VWAP Drift — Direction of VWAP itself over a rolling window, normalized by ATR. 𝑉 𝑊 𝐴 𝑃 𝑡 = ∑ ( 𝑇 𝑃 × 𝑉 𝑜 𝑙 ) ∑ 𝑉 𝑜 𝑙 VWAP t ​ = ∑Vol ∑(TP×Vol) ​ over vwapLen. Drift = 𝑉 𝑊 𝐴 𝑃 𝑡 − 𝑉 𝑊 𝐴 𝑃 𝑡 − 1 𝐴 𝑇 𝑅 = ATR VWAP t ​ −VWAP t−1 ​ ​ → squashed to . Why it belongs: persistent VWAP movement signals sustained accumulation/distribution. PVT Momentum — Price-Volume Trend standardized (z-score) and squashed. 𝑃 𝑉 𝑇 𝑡 = 𝑃 𝑉 𝑇 𝑡 − 1 + 𝑉 𝑜 𝑙 × Δ 𝐶 𝑙 𝑜 𝑠 𝑒 𝐶 𝑙 𝑜 𝑠 𝑒 𝑡 − 1 PVT t ​ =PVT t−1 ​ +Vol× Close t−1 ​ ΔClose ​ . 𝑧 = 𝑃 𝑉 𝑇 − SMA ( 𝑃 𝑉 𝑇 ) StDev ( 𝑃 𝑉 𝑇 ) z= StDev(PVT) PVT−SMA(PVT) ​ → squashed to . Why it belongs: captures volume-weighted trend pressure without relying on price alone. Composite score: Score = 𝑤 𝐹 𝑃 ⋅ 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 ⋅ 𝑉 𝑊 𝐴 𝑃 _ 𝐷 𝑟 𝑖 𝑓 𝑡 + 𝑤 𝑃 𝑉 𝑇 ⋅ 𝑃 𝑉 𝑇 _ 𝑀 𝑜 𝑚 𝑤 𝐹 𝑃 + 𝑤 𝑉 𝑊 𝐴 𝑃 + 𝑤 𝑃 𝑉 𝑇 Score= w FP ​ +w VWAP ​ +w PVT ​ w FP ​ ⋅FP+w VWAP ​ ⋅VWAP_Drift+w PVT ​ ⋅PVT_Mom ​ with a Signal = SMA(Score, sigLen). Thresholds mark strong accumulation/distribution zones. How it works (step-by-step) Compute FP, VWAP Drift, PVT Momentum. Normalize each to the same scale. Weighted average → FlowFusion Score. Smooth with a Signal line to reduce whipsaw. Optional background shading when Score exceeds thresholds. How to use Direction filter: Score > 0 favors longs; Score < 0 favors shorts. Momentum turns: Score crosses above Signal → setup for long; below → setup for short. Strength zones: Above Upper Threshold (default +40) = strong buy pressure; below Lower (−40) = strong sell pressure. Confluence: Best near S/R, trendlines, or HTF bias. For scalping on 1–5m, consider sigLen 9–13 and thresholds ±40 to ±50. Alerts included: zero cross, zone entries, and Score/Signal crossovers. Inputs (key) fpLen (20): relative-volume lookback for Flow Pressure. vwapLen (34): rolling VWAP window. pvtLen (50): PVT z-score window. sigLen (9): Signal smoothing. Weights: wFP, wVWAP, wPVT to bias the blend. Thresholds: upperBand / lowerBand (defaults +40/−40). Display: toggle component plots and background shading. Best practices Trending markets: increase wVWAP (VWAP Drift) or widen thresholds. Ranging markets: increase wFP and wPVT; take quicker profits. News: wait for bar close confirmation or reduce size. Data quality: use consistent volume feeds (especially in crypto). Limitations Oscillators can stay extreme in strong trends; use structure/trend filters. Volume anomalies (illiquid pairs, API glitches) can distort signals—sanity-check with another venue when possible. Disclaimer This indicator is for educational purposes only and is not financial advice. Trading involves risk; past performance does not guarantee future results. Always paper-trade first and use appropriate risk controls.
Penunjuk Pine Script®
oleh fts4sure
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. Trade smarter with TradeVizion—unlock your trading potential today!
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