PDC + ATR Zonethis Indicator helps to find the previous day close as well as the ATR range for the day
지표 및 전략
bruh-UmarI made this with the help of chat gpt and grok I have no idea if it work or not okay. also my first script also also mjbkjbjk
Aibuyzone Vector Strategy - Floating DashboardVector Strategy – Floating Dashboard
The Vector Strategy is a visual trading-analysis tool designed to highlight strong directional candles that may represent impulsive moves in the market. It combines candle-structure analysis, volatility expansion, volume conditions, and trend filters into a single clear visual display.
Core Logic
Identifies candles where the body makes up a significant portion of the full bar range, suggesting strong directional intent.
Uses an ATR (Average True Range) expansion filter to confirm that the current candle’s range is larger than normal volatility.
Optionally applies a wick-imbalance requirement to favor bars showing a clear directional bias.
Can include a volume spike filter, marking candles where volume exceeds a moving average multiple.
Trend and Momentum Filters
Local trend: Defined by a fast and slow EMA pair to show short-term bias.
Higher-timeframe trend: Optionally aligns with an EMA from a higher timeframe to confirm broader momentum.
Momentum: RSI filter avoids generating signals in heavily overbought or oversold conditions.
Fair Value Gap (FVG) Option
When enabled, the script checks for a simple three-bar fair-value-gap structure in the direction of the potential signal, acting as an additional confirmation filter.
Signals and Visuals
Plots fast and slow EMAs to visualize the underlying trend.
Displays up/down shapes when qualifying vector-candle conditions occur.
Optional labels show “Vector Long” or “Vector Short” at the candle where conditions align.
Includes alert conditions for both long and short setups.
Floating Dashboard
A compact floating panel summarizes the most recent signal and market context:
Current signal state (Long / Short / Neutral)
Trend bias (Bullish / Bearish / Flat)
RSI reading
Body-to-range percentage
Volume-spike confirmation
Practical Use
This tool can assist traders in identifying strong impulsive candles aligned with a trend filter.
It is meant to complement a complete trading strategy, not to be used in isolation.
Traders may adjust thresholds such as ATR multiple, body-percentage, or RSI range based on the instrument’s volatility and personal risk tolerance.
Important Notice
This script is provided for educational and analytical purposes only.
It does not provide financial advice, recommendations, or guaranteed results.
Market conditions vary, and past performance does not ensure future outcomes.
Always test and validate any configuration in a simulated environment before live trading.
MTF Supertrend + MA [TCMaster]Overview:
The MTF Supertrend + MA indicator combines two powerful multi-timeframe tools — the Supertrend and Moving Averages (MA) — into one unified and customizable framework. It allows traders to analyze market trends and dynamic support/resistance levels from multiple higher timeframes directly on a single chart.
⚙️ Features
🟩 Supertrend Section
Up to 4 configurable Supertrends, each from a different timeframe.
Adjustable ATR Length and Multiplier (Factor).
Independent visibility, colors, and timeframes for each layer.
Built-in alert conditions for trend reversals (Uptrend ↔ Downtrend).
Clean visual overlay on price chart.
🟦 Moving Average (MA) Section
Up to 4 multi-timeframe MAs displayed simultaneously.
Supports multiple MA types:
SMA, EMA, WMA, RMA, HMA, VWMA, DEMA, TEMA.
Independent control for each MA: color, line width, and timeframe.
Dynamic Info Label displaying distance between price and each MA in real-time.
Smooth, accurate MTF synchronization (no repainting from lookahead).
💡 How to Use
Identify higher-timeframe trend direction using Supertrend signals.
Use MAs as dynamic support/resistance or mean reversion zones.
Combine both for multi-timeframe confluence trading:
e.g., look for long entries when lower TF Supertrend turns bullish and price is above higher TF MAs.
Set alerts to get notified when any Supertrend flips its direction.
🧩 Customization
All parameters are grouped into two sections for clarity:
Supertrend Settings
MA Settings
Fully compatible with all chart types and timeframes.
⚠️ Notes
This indicator is designed for visual multi-timeframe analysis, not for automation.
Alerts only trigger when the corresponding timeframe bar closes.
Ensure replay mode or real-time conditions to verify alert behavior.
EMA Cloud 9/30/60 – Visual Trend Strength - CryptowitchThis indicator displays three Exponential Moving Averages (EMAs):
🔸 EMA 9 (short-term)
🔸 EMA 30 (mid-term)
🔸 EMA 60 (long-term)
A dynamic cloud is drawn between EMA 9 and EMA 30 to visually highlight trend momentum:
Green cloud = bullish momentum (EMA 9 above EMA 30)
Red cloud = bearish momentum (EMA 9 below EMA 30)
This cloud setup helps quickly identify trend direction, momentum shifts, consolidation zones, and potential entry/exit points.
Clean, visual, and effective – suitable for scalpers, swing traders, and trend followers alike.
HAR-Z + OLS Residual + Impact stochastic indicators ibeqfpb wepgbwep gbipwbgw wqbgiwgbw ghbdns ,eltjv jjdhbnb p nj,j. xjve , yfv
Pi Toolkit – MAs & Volatility Bands (Label v6 Clean)learning how to code, trying to see if Pi will unlock the secrets of the market!
see if it works for anyone!
thanks again
Trailing 12M % Gain/Lossthis script shows profit or loss for training 12 months, works only on daily time frame
PriceFormatLibrary for automatically converting price values to formatted strings
matching the same format that TradingView uses to display open/high/low/close prices on the chart.
█ OVERVIEW
This library is intended for Pine Coders who are authors of scripts that display numbers onto a user's charts. Typically, 𝚜𝚝𝚛.𝚝𝚘𝚜𝚝𝚛𝚒𝚗𝚐() would be used to convert a number into a string which can be displayed in a label / box / table, but this only works well for values that are formatted as a simple decimal number. The purpose of this library is to provide an easy way to create a formatted string for values which use other types of formats besides the decimal format.
The main functions exported by this library are:
𝚏𝚘𝚛𝚖𝚊𝚝𝙿𝚛𝚒𝚌𝚎() - creates a formatted string from a price value
𝚖𝚎𝚊𝚜𝚞𝚛𝚎𝙿𝚛𝚒𝚌𝚎𝙲𝚑𝚊𝚗𝚐𝚎() - creates a formatted string from the distance between two prices
𝚝𝚘𝚜𝚝𝚛𝚒𝚗𝚐() - an alternative to the built-in 𝚜𝚝𝚛.𝚝𝚘𝚜𝚝𝚛𝚒𝚗𝚐(𝚟𝚊𝚕𝚞𝚎, 𝚏𝚘𝚛𝚖𝚊𝚝)
This library also exports some auxiliary functions which are used under the hood of the previously mentioned functions, but can also be useful to Pine Coders that need fine-tuned control for customized formatting of numeric values:
Functions that determine information about the current chart:
𝚒𝚜𝙵𝚛𝚊𝚌𝚝𝚒𝚘𝚗𝚊𝚕𝙵𝚘𝚛𝚖𝚊𝚝(), 𝚒𝚜𝚅𝚘𝚕𝚞𝚖𝚎𝙵𝚘𝚛𝚖𝚊𝚝(), 𝚒𝚜𝙿𝚎𝚛𝚌𝚎𝚗𝚝𝚊𝚐𝚎𝙵𝚘𝚛𝚖𝚊𝚝(), 𝚒𝚜𝙳𝚎𝚌𝚒𝚖𝚊𝚕𝙵𝚘𝚛𝚖𝚊𝚝(), 𝚒𝚜𝙿𝚒𝚙𝚜𝙵𝚘𝚛𝚖𝚊𝚝()
Functions that convert a 𝚏𝚕𝚘𝚊𝚝 value to a formatted string:
𝚊𝚜𝙳𝚎𝚌𝚒𝚖𝚊𝚕(), 𝚊𝚜𝙿𝚒𝚙𝚜(), 𝚊𝚜𝙵𝚛𝚊𝚌𝚝𝚒𝚘𝚗𝚊𝚕(), 𝚊𝚜𝚅𝚘𝚕𝚞𝚖𝚎()
█ EXAMPLES
• Simple Example
This example shows the simplest way to utilize this library.
//@version=6
indicator("Simple Example")
import n00btraders/PriceFormat/1
var table t = table.new(position.middle_right, 2, 1, bgcolor = color.new(color.blue, 90), force_overlay = true)
if barstate.isfirst
table.cell(t, 0, 0, "Current Price: ", text_color = color.black, text_size = 40)
table.cell(t, 1, 0, text_color = color.blue, text_size = 40)
if barstate.islast
string lastPrice = close.formatPrice() // Simple, easy way to format price
table.cell_set_text(t, 1, 0, lastPrice)
• Complex Example
This example calls all of the main functions and uses their optional arguments.
//@version=6
indicator("Complex Example")
import n00btraders/PriceFormat/1
// Enum values that can be used as optional arguments
precision = input.enum(PriceFormat.Precision.DEFAULT)
language = input.enum(PriceFormat.Language.ENGLISH)
// Main library functions used to create formatted strings
string formattedOpen = open.formatPrice(precision, language, allowPips = true)
string rawOpenPrice = PriceFormat.tostring(open, format.price)
string formattedClose = close.formatPrice(precision, language, allowPips = true)
string rawClosePrice = PriceFormat.tostring(close, format.price)
= PriceFormat.measurePriceChange(open, close, precision, language, allowPips = true)
// Labels to display formatted values on chart
string prices = str.format("Open: {0} ({1}) Close: {2} ({3})", formattedOpen, rawOpenPrice, formattedClose, rawClosePrice)
string change = str.format("Change (close - open): {0} / {1}", distance, ticks)
label.new(chart.point.now(high), prices, yloc = yloc.abovebar, textalign = text.align_left, force_overlay = true)
label.new(chart.point.now(low), change, yloc = yloc.belowbar, style = label.style_label_up, force_overlay = true)
█ NOTES
• Function Descriptions
The library source code uses Markdown for the exported functions. Hover over a function/method call in the Pine Editor to display formatted, detailed information about the function/method.
• Precision Settings
The Precision option in the chart settings can change the format of how prices are displayed on the chart. Since the user's selected choice cannot be known through any Pine built-in variable, this library provides a 𝙿𝚛𝚎𝚌𝚒𝚜𝚒𝚘𝚗 enum that can be used as an optional script input for the user to specify their selected choice.
• Language Settings
The Language option in the user menu can change the decimal/grouping separators in the prices that are displayed on the chart. Since the user's selected choice cannot be known through any Pine built-in variable, this library provides a 𝙻𝚊𝚗𝚐𝚞𝚊𝚐𝚎 enum that can be used as an optional script input for the user to specify their selected choice.
█ EXPORTED FUNCTIONS
method formatPrice(price, precision, language, allowPips)
Formats a price value to match how it would be displayed on the user's current chart.
Namespace types: series float, simple float, input float, const float
Parameters:
price (float) : The value to format.
precision (series Precision) : A Precision.* enum value.
language (series Language) : A Language.* enum value.
allowPips (simple bool) : Whether to allow decimal numbers to display as pips.
Returns: Automatically formatted price string.
measurePriceChange(startPrice, endPrice, precision, language, allowPips)
Measures a change in price in terms of both distance and ticks.
Parameters:
startPrice (float) : The starting price.
endPrice (float) : The ending price.
precision (series Precision) : A Precision.* enum value.
language (series Language) : A Language.* enum value.
allowPips (simple bool) : Whether to allow decimal numbers to display as pips.
Returns: A tuple of formatted strings: .
method tostring(value, format)
Alternative to the Pine `str.tostring(value, format)` built-in function.
Namespace types: series float, simple float, input float, const float
Parameters:
value (float) : (series float) The value to format.
format (string) : (series string) The format string.
Returns: String in the specified format.
isFractionalFormat()
Determines if the default behavior of the chart's price scale is to use a fractional format.
Returns: True if the chart can display prices in fractional format.
isVolumeFormat()
Determines if the default behavior of the chart's price scale is to display prices as volume.
Returns: True if the chart can display prices as volume.
isPercentageFormat()
Determines if the default behavior of the chart's price scale is to display percentages.
Returns: True if the chart can display prices as percentages.
isDecimalFormat()
Determines if the default behavior of the chart's price scale is to use a decimal format.
Returns: True if the chart can display prices in decimal format.
isPipsFormat()
Determines if the current symbol's prices can be displayed as pips.
Returns: True if the chart can display prices as pips.
method asDecimal(value, precision, minTick, decimalSeparator, groupingSeparator, eNotation)
Converts a number to a string in decimal format.
Namespace types: series float, simple float, input float, const float
Parameters:
value (float) : The value to format.
precision (int) : Number of decimal places.
minTick (float) : Minimum tick size.
decimalSeparator (string) : The decimal separator.
groupingSeparator (string) : The thousands separator, aka digit group separator.
eNotation (bool) : Whether the result should use E notation.
Returns: String in decimal format.
method asPips(value, priceScale, minMove, minMove2, decimalSeparator, groupingSeparator)
Converts a number to a string in decimal format with the last digit replaced by a superscript.
Namespace types: series float, simple float, input float, const float
Parameters:
value (float) : The value to format.
priceScale (int) : Price scale.
minMove (int) : Min move.
minMove2 (int) : Min move 2.
decimalSeparator (string) : The decimal separator.
groupingSeparator (string) : The thousands separator, aka digit group separator.
Returns: String in decimal format with an emphasis on the pip value.
method asFractional(value, priceScale, minMove, minMove2, fractionalSeparator1, fractionalSeparator2)
Converts a number to a string in fractional format.
Namespace types: series float, simple float, input float, const float
Parameters:
value (float) : The value to format.
priceScale (int) : Price scale.
minMove (int) : Min move.
minMove2 (int) : Min move 2.
fractionalSeparator1 (string) : The primary fractional separator.
fractionalSeparator2 (string) : The secondary fractional separator.
Returns: String in fractional format.
method asVolume(value, precision, minTick, decimalSeparator, groupingSeparator, spacing)
Converts a number to a string in volume format.
Namespace types: series float, simple float, input float, const float
Parameters:
value (float) : The value to format.
precision (int) : Maximum number of decimal places.
minTick (float) : Minimum tick size.
decimalSeparator (string) : The decimal separator.
groupingSeparator (string) : The thousands separator, aka digit group separator.
spacing (string) : The whitespace separator.
Returns: String in volume format.
✨ Time × Price Complete Square — XAUUSD 3min✨ Time × Price — XAUUSD 3min
🧩 Overview
The Time × Price indicator visualizes the relationship between price movement and time cycles to help identify potential confluence zones.
By detecting pivot points (swing highs and lows) and applying a geometric cycle structure inspired by the Square of 9 / Gann methodology, it highlights where price and time harmonize.
This tool is designed for traders who want to observe market rhythm and cyclical symmetry rather than simple trend signals.
⚙️ Features
Automatic pivot detection (adjustable sensitivity)
Dynamic Time × Price rings showing cycle evolution
🟦 Blue → new cycle starts
🟨 Yellow → equilibrium phase
🟥 Red → cycle completion
Optional alert when a cycle completes
Time and price axis guides for clearer confluence visualization
🔍 Parameters
Parameter Description
pivotLen Length for detecting swing points. Higher values smooth out smaller fluctuations.
baseCycle Base cycle period that defines the ring spacing.
alertOn Enables or disables alert on cycle completion.
💡 How to Use
Apply on XAU/USD 3-minute to 15-minute charts for optimal responsiveness.
Observe when a new blue ring forms — it marks the start of a new cycle.
As rings shift toward red, a time-price cycle is approaching completion.
Combine with RSI, MACD, or momentum indicators to confirm possible reversals near ring intersections.
Use alerts to monitor key cycle completions automatically.
⚠️ Disclaimer
This script is for educational and analytical purposes only.
It does not provide financial advice or trade recommendations.
All trading decisions should be made at your own discretion and risk.
🧠 Concept
The concept is based on the idea that “time and price resonance drives market turning points.”
By adapting Gann-style time-price geometry to intraday timeframes, the indicator provides a visual structure to interpret rhythm and balance in market motion.
✅ Compliant with TradingView House Rules
No investment or profitability claims
No use of third-party or proprietary code
Transparent explanation of features and logic
Educational purpose clearly stated
Entry Signal Indicator for H&S v1.0This indicator is used to generate alerts for trading Head & Shoulder patterns. Once a break, close and retest of the H&S pattern has occurred, you have to wait for an entry pattern. This indicator looks for such patterns and gives an alarm if one is detected.
10 Moving Average ExponentialHaving the possibility to add multiple Moving Average Exponential up to 10 with one indicator
Monthly Color Marker V4
## 📊 Monthly Color Marker - Historical Month Highlighting
### Overview
A unique indicator that allows rapid identification of all monthly candles from a specific month across multiple years. The indicator marks candles with different colors based on their direction (bullish/bearish), enabling quick analysis of seasonal patterns and cyclical behavior of stocks or assets.
### 🎯 Purpose
- **Identify Seasonal Patterns (Seasonality)** - Discover recurring trends in specific months
- **Quick Historical Analysis** - Visual representation of monthly performance over the years
- **Direction Recognition** - Instant understanding of whether a month tends to be bullish or bearish
- **Seasonal Trading Planning** - Build strategies based on cyclical patterns
### ⚙️ Adjustable Parameters
1. **Month to Mark (1-12)**
- Select the desired month for analysis
- 1 = January, 2 = February... 12 = December
- Default: 11 (November)
2. **Years Back (1-50)**
- Determines how many years back to scan
- Recommended: 10-25 years for statistically reliable data
- Default: 25 years
3. **Bullish Candle Color**
- Color for marking bullish candles (close > open)
- Default: Green
- Customizable to your personal color scheme
4. **Bearish Candle Color**
- Color for marking bearish candles (close < open)
- Default: Red
- Customizable to your personal color scheme
5. **Show Current Year**
- Whether to include the current month in the marking
- Useful when the month hasn't finished yet
- Default: Yes
### 📈 How to Use the Indicator
#### Step 1: Adding to Chart
1. Switch to **Monthly timeframe** - Required!
2. Add the indicator to your chart
3. Select the month you want to analyze
#### Step 2: Initial Analysis
- **Count green vs red candles** - What's the ratio?
- **Look for patterns** - Are there years where the month always rises/falls?
- **Identify outliers** - Years where behavior was different
#### Step 3: Making Decisions
- **Mostly green** → Statistically, the month tends to rise
- **Mostly red** → Statistically, the month tends to fall
- **Mixed** → No clear seasonal pattern
### 💡 Usage Examples
**Example 1: "Santa Claus Rally"**
- Select month 12 (December)
- Check if there are mostly green candles
- If yes, this confirms the well-known year-end rally effect
**Example 2: "September Effect"**
- Select month 9 (September)
- Historically, September is considered a weak month
- Do the data support this for this stock?
**Example 3: Quarterly Earnings**
- Identify which month earnings are released
- Check the historical response
- Plan entry/exit accordingly
### 🔍 Combining with Other Indicators
This indicator works excellently with:
- **Historical Monthly Levels** (the first indicator) - Identify nearby price levels
- **Volume Profile** - Check volume during those months
- **RSI/MACD** - Identify momentum strength in specific months
### ⚠️ Important Notes
1. **Must use Monthly timeframe!** The indicator won't work correctly on other timeframes
2. **Statistical Sample** - More years = more reliable analysis
3. **Not a Guarantee** - Past performance doesn't guarantee future results, use additional analysis
4. **Adjust Colors** - If hard to see, change colors in settings
### 🎨 Tips for Optimal Experience
- **Zoom Out** - See more years at a glance
- **Clean Chart** - Remove unnecessary indicators for clear analysis
- **Compare Stocks** - Check multiple stocks for the same month
- **Document Findings** - Take screenshots and save insights for future reference
### 📊 Recommended Statistics
After identifying an interesting month:
- Calculate success rate (green / total candles)
- Check average volatility
- Identify outlier years and investigate what happened
- Plan entry/exit strategy
### 🚀 Who Is This Indicator For?
✅ **Swing Traders** - Plan medium-term trades
✅ **Seasonal Investors** - Exploit cyclical patterns
✅ **Technical Analysts** - Understand historical behavior
✅ **Portfolio Managers** - Time entries and exits
---
### 📝 Summary
The Monthly Color Marker indicator is a powerful and easy-to-use tool for identifying seasonal patterns. The combination of clear visualization with flexible parameters makes it an essential tool for any trader seeking a statistical edge in the market.
**Recommendation:** Start with 25 years back, analyze 2-3 key months, and build a data-driven strategy.
---
**Version:** 4.0
**Compatibility:** Pine Script v5
**Timeframe:** Monthly only
**Author:** 954
## 📊 Monthly Color Marker - סימון חודשים היסטוריים
### תיאור כללי
אינדיקטור ייחודי המאפשר לזהות במהירות את כל הנרות החודשיים מחודש ספציפי לאורך השנים. האינדיקטור מסמן את הנרות בצבעים שונים בהתאם לכיוון התנועה (עלייה/ירידה), ומאפשר ניתוח מהיר של דפוסים עונתיים והתנהגות מחזורית של המניה או הנכס.
### 🎯 מטרת האינדיקטור
- **זיהוי דפוסים עונתיים (Seasonality)** - מציאת מגמות חוזרות בחודשים מסוימים
- **ניתוח היסטורי מהיר** - ראייה ויזואלית של ביצועי החודש לאורך השנים
- **זיהוי כיווניות** - הבנה מיידית האם החודש נוטה להיות שורי או דובי
- **תכנון מסחר עונתי** - בניית אסטרטגיות מבוססות מחזוריות
### ⚙️ פרמטרים מתכווננים
1. **חודש לסימון (1-12)**
- בחירת החודש הרצוי לניתוח
- 1 = ינואר, 2 = פברואר... 12 = דצמבר
- ברירת מחדל: 11 (נובמבר)
2. **שנים אחורה (1-50)**
- קובע כמה שנים אחורה לסרוק
- מומלץ: 10-25 שנים לקבלת תמונה סטטיסטית מהימנה
- ברירת מחדל: 25 שנים
3. **צבע נר עולה**
- צבע לסימון נרות שורים (close > open)
- ברירת מחדל: ירוק
- ניתן להתאים לסכמת הצבעים האישית
4. **צבע נר יורד**
- צבע לסימון נרות דוביים (close < open)
- ברירת מחדל: אדום
- ניתן להתאים לסכמת הצבעים האישית
5. **צבע את השנה הנוכחית**
- האם לכלול את החודש הנוכחי בסימון
- שימושי כאשר החודש טרם הסתיים
- ברירת מחדל: כן
### 📈 איך להשתמש באינדיקטור
#### שלב 1: הוספה לגרף
1. עבור לטיימפריים **חודשי (Monthly)** - חובה!
2. הוסף את האינדיקטור לגרף
3. בחר את החודש שאתה רוצה לנתח
#### שלב 2: ניתוח ראשוני
- **ספור נרות ירוקים מול אדומים** - מה היחס?
- **חפש דפוסים** - האם יש שנים שבהן החודש תמיד עולה/יורד?
- **זהה חריגים** - שנים שבהן ההתנהגות הייתה שונה
#### שלב 3: קבלת החלטות
- **רוב ירוקים** → סטטיסטית החודש נוטה לעלות
- **רוב אדומים** → סטטיסטית החודש נוטה לרדת
- **מעורב** → אין דפוס עונתי ברור
### 💡 דוגמאות שימוש
**דוגמה 1: "Santa Claus Rally"**
- בחר חודש 12 (דצמבר)
- בדוק אם יש רוב נרות ירוקים
- אם כן, זה מאשר את האפקט הידוע של עליות בסוף השנה
**דוגמה 2: "September Effect"**
- בחר חודש 9 (ספטמבר)
- היסטורית, ספטמבר נחשב לחודש חלש
- האם הנתונים תומכים בכך במניה זו?
**דוגמה 3: דיווחים רבעוניים**
- זהה בחודש אילו נפרסמים דיווחים
- בדוק את התגובה ההיסטורית
- תכנן כניסה/יציאה בהתאם
### 🔍 שילוב עם אינדיקטורים אחרים
האינדיקטור עובד מצוין בשילוב עם:
- **Historical Monthly Levels** (האינדיקטור הראשון) - זיהוי רמות מחיר קרובות
- **Volume Profile** - בדיקת ווליום באותם חודשים
- **RSI/MACD** - זיהוי כוח המומנטום בחודשים ספציפיים
### ⚠️ הערות חשובות
1. **חובה להשתמש בטיימפריים חודשי!** האינדיקטור לא יעבוד נכון בטיימפריים אחרים
2. **מדגם סטטיסטי** - ככל שיש יותר שנים, הניתוח מהימן יותר
3. **לא ערובה** - עבר לא מבטיח עתיד, השתמש בניתוח נוסף
4. **התאם צבעים** - אם קשה לראות, שנה את הצבעים בהגדרות
### 🎨 טיפים לחוויית שימוש מיטבית
- **זום אאוט** - ראה יותר שנים במבט אחד
- **נקה גרף** - הסר אינדיקטורים מיותרים לניתוח ברור
- **השווה מניות** - בדוק מספר מניות לאותו חודש
- **תעד ממצאים** - צלם מסך ושמור תובנות לעתיד
### 📊 סטטיסטיקה מומלצת
לאחר שזיהית חודש מעניין:
- חשב אחוז הצלחה (ירוקים / כל הנרות)
- בדוק תנודתיות ממוצעת
- זהה שנים חריגות ובדוק מה קרה אז
- תכנן אסטרטגיית כניסה/יציאה
### 🚀 למי מתאים האינדיקטור?
✅ **סווינג טריידרים** - תכנון עסקאות לטווח בינוני
✅ **משקיעים עונתיים** - ניצול דפוסים מחזוריים
✅ **אנליסטים טכניים** - הבנת התנהגות היסטורית
✅ **מנהלי תיקים** - תזמון כניסות ויציאות
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### 📝 סיכום
אינדיקטור Monthly Color Marker הוא כלי חזק וקל לשימוש לזיהוי דפוסים עונתיים. השילוב של ויזואליזציה ברורה עם פרמטרים גמישים הופך אותו לכלי חיוני לכל טריידר המחפש יתרון סטטיסטי בשוק.
**המלצה:** התחל עם 25 שנים אחורה, נתח 2-3 חודשים מרכזיים, ובנה אסטרטגיה מבוססת נתונים.
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**גרסה:** 4.0
**תאימות:** Pine Script v5
**טיימפריים:** חודשי בלבד
**מחבר:** [954
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💸 DCA Accumulation Strategy (USD‑Based Scaling)Buy when blue arrow appears, if the next arrow is lower than the last increase your position. This will pull your average cost down slowly over time.
Inyerneck UT Bot 9 EMA V.sthis script is a custom ut bot signal generator using a 9 ema filter and atr based thresholds. it shows buy/sell signals based on crossover logic and works well for volitality based set ups. created by inyerneck
Multi-timeframe Pivot PointThis indicator is a lightweight indicator designed to display higher timeframe pivot levels on your chart.
It helps traders quickly identify key support and resistance zones derived from higher timeframes (such as daily or weekly pivots) while analyzing lower timeframes (e.g., 15m or 1h charts).
Calculation Logic
This indicator uses the classic pivot point formula, calculated from high, low, and close values:
PP = (High + Low + Close) / 3
R1 = 2 * PP - Low
S1 = 2 * PP - High
R2 = PP + (High - Low)
S2 = PP - (High - Low)
R3 = R1 + (High - Low)
S3 = S1 - (High - Low)
Additionally, it includes breakout levels:
HBOP = PP + PP + (High - Low) - Low
LBOP = PP + PP - (High - Low) - High
DTC Killzones ICT🕐 DTC Killzones ICT — Visualize Market Sessions Like a Pro
The DTC Killzones ICT indicator is a clean and intuitive tool designed for traders who want to analyze and visualize institutional trading sessions directly on their charts.
Inspired by ICT’s Killzone concept , this script makes it easy to identify overlapping market sessions — such as London, New York, and Asian — and track how price behaves within each zone.
💡 What It Does
This indicator automatically highlights key market sessions (Killzones) on your chart with fully customizable colors, labels, and transparency.
Each zone dynamically updates to reflect real-time highs and lows, helping you identify:
Session ranges and liquidity zones
Volatility windows and breakout areas
Institutional footprints across sessions
Whether you trade Forex, Indices, or Crypto , this script gives you visual clarity on when and where smart money is likely to move.
⚙️ Main Features
✅ Up to four customizable sessions (New York, London, Asian, and London Close)
✅ Adjustable timeframes and timezone options — sync with your exchange or custom UTC offset
✅ Dynamic high/low range tracking for each session
✅ Toggle range outlines, session labels , and transparency levels
✅ Optional daily dividers and session transition markers
✅ Works on any timeframe and any symbol
🧠 How Traders Use It
ICT-based traders can easily mark Killzones to align with setups like FVGs, liquidity grabs, or Silver Bullet entries.
Intraday traders can visualize session volatility and overlap periods for potential entries.
Swing traders can identify daily structure shifts by tracking range-to-range behavior.
🛠️ Customization
You can fully rename, recolor, or disable each session block.
Adjust the range transparency for visual comfort, and toggle session or daily dividers to fit your workflow.
Everything is designed to be clean, light, and modular — no clutter, no confusion.
⚡ Recommended Settings
For ICT-style analysis:
London Session: 02:00–05:00
New York Session: 07:00–10:00
Asian Session: 19:30–24:00
London Close Session: 10:00–12:00
These time windows are fully editable to suit your timezone or strategy.
🧩 Compatibility
Works seamlessly with TradingView’s built-in timezone tools
Compatible with all instruments and timeframes
Designed to overlay directly on your price chart
🏁 Final Notes
The DTC Killzones ICT indicator focuses purely on market session visualization — no alerts, entries, or trading signals.
It’s designed to complement your existing strategies and enhance clarity when analyzing market behavior across global sessions.
📈 Built for traders who value precision, structure, and timing.
Dynamic ATR Targets - Long & Short with Trailing SL by ISdynamic SL based on ATR
SL,TP, entry
ATR based
good for dynamic SL
1:3 RR






















