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
---
### 📝 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.
---
**גרסה:** 4.0
**תאימות:** Pine Script v5
**טיימפריים:** חודשי בלבד
**מחבר:** [954
---
المؤشرات والاستراتيجيات
Ulcer Index (UI) by CoryP1990 – Quant ToolkitThe Ulcer Index measures downside volatility, i.e. how deep and persistent drawdowns are from recent highs. Unlike standard deviation, which treats upside and downside equally, the Ulcer Index focuses purely on pain . It’s a favorite of risk-adjusted performance metrics like the Martin Ratio.
How it works
Computes the RMS (root-mean-square) of drawdowns over a look-back window.
Rising UI → drawdowns worsening (stress increasing).
Falling UI → drawdowns shrinking (recovery phase).
Red line = Ulcer Index rising.
Lime line = Ulcer Index falling.
Red background = High-risk regime (above threshold).
Green background = Low-risk regime (below threshold).
Use cases
Gauge portfolio stress levels and timing of recovery phases.
Identify “calm vs storm” periods for position sizing.
Combine with volatility or sentiment measures for regime classification.
Defaults
Length = 14
High-risk threshold = 10
Low-risk threshold = 5
Example — NVIDIA (NVDA, 1D)
During the sharp decline through 2022, the Ulcer Index repeatedly spiked above 10 while the background turned red, highlighting an extended high-stress drawdown phase. As NVDA began recovering in early 2023, the UI line switched to lime and drifted below 5, marking a transition into a low-risk regime. Throughout 2024–2025, the index stayed mostly sub-5 with brief red pulses on minor corrections, which is clear evidence that downside volatility has remained contained during the broader uptrend.
Part of the Quant Toolkit - a series of transparent, open-source indicators designed for professional-grade analytics and education. Built by CoryP1990.
korea time with 200 korea time
start time
08
09
17
18
23
00
This script makes it easier to look at the charts
The time automatically displays even if you don't bother to bring the mouse by hand
Now you can see the time intuitively
Run a very happy trading session
Mum Formasyonları TespitiIt is used to detect candles.
It is designed to analyze all the candles that form.
The most frequently formed candles are displayed on the price chart.
OWL 620 - Confirmed SignalsAdjustable 620 Indicator. This lets you adjust risk tolerance for day trading and is reliably backtested.
First Candle High-Low (ORB Style)This indicator will
✅ Detect the first candle of each day (on any intraday timeframe),
✅ Draw two horizontal lines — one at the high and one at the low of that first candle, and
✅ Extend those lines across all candles of that same day.
Mean Reversion Indicator — Buy the (DCA) Dip Signal (unbiased)Description
The Mean Reversion Signal — Buy the Dip (unbiased) indicator is designed to detect high-probability reversion points within Bitcoin’s cyclical market structure. These signals only appear when momentum has either fully reset on the Stochastic RSI (SRSI) or when a positive momentum reversal is beginning to form.
It combines 6H Relative Strength Index (RSI) data with 2-Week Stochastic RSI (SRSI) dynamics to identify exhaustion and early accumulation phases.
Core logic:
A buy signal appears when the 6H RSI closes below 30, indicating local oversold conditions.
The 2W Stochastic RSI confirms momentum alignment when both K & D are below 20 (deep oversold), above 80 (strong ongoing rally), or when K crosses above D (positive reversal).
The indicator is cycle-aware — active only after a defined date (e.g., 2023-01-01) to ensure it aligns with current market structure and avoids noise from pre-cycle conditions.
Additionally, green signals from previous bull cycles (e.g., 2015, 2019, 2020) are also displayed to highlight historically similar accumulation phases, allowing for cross-cycle comparison.
Color zones:
🟩 High probability of a durable new rally
🟧 Moderate probability zone
🔴 Momentum already extended; potential continuation but weaker signal
Recommended combinations:
For a deeper confirmation framework, this signal pairs well with:
- CoinGlass: Derivatives Risk Index Chart (to assess market (de)leveraging and derivatives pressure)
- BTC Futures Sentiment Index (Axel Adler Jr.) — (to monitor directional sentiment shifts)
- CheckonChain: Bitcoin — Short-Term Holder SOPR (to track realized profit-taking activity)
- CheckonChain: Bitcoin — Short-Term Holder MVRV (to evaluate valuation risk relative to cost basis)
Use case:
This tool helps traders identify favorable mean-reversion opportunities while considering broader cycle context and momentum structure.
It is not financial advice — best used alongside macro structure analysis, derivatives positioning, and on-chain behavior for comprehensive decision-making.
First Candle of the Day - PavThis indicator detects and marks the first candle of each new day for that timeframe.
Works in any timeframe (1m, 5m, 15m, 1h, etc.)
Works automatically when the date changes
LONG SETUP → 8/13/48 EMA + BoSMarks a perfect ENTRY (green "LONG") the exact candle where: 8 EMA crosses above BOTH 13 & 200 EMA
Price is above 200 EMA
Price breaks the most recent swing high (Break of Structure)
Keeps you IN the trade as long as price stays above the 8,13, 48 EMA
Plots EXIT signals:
Red "STOP" label under the last swing low
Orange "EXIT" when price closes below 13 EMA
Purple "EXIT" when price closes below 48 EMA
Use daily timeframe
Candle Volume / RVOL Enhanced TableCandle Vol shown as “x.xxM” above 1M, full integer below.
Candle Rvol and Last Can Rvol always as “xx.xx%” with at least “0.00%” if not available.
Table matches the style and layout in your screenshots.
Color, text, normalization per hour, options for tweaking.
20 Minute Macro (1 and 5 minute timeframes)This is a time-based macro indicator that automatically begins and ends at 10 minutes around the hour.
Volatility Heat-Map, momentum ribbon and divergence detectorThis is a comprehensive volatility + momentum + volume + ATR dashboard with table visualization, momentum ribbon, and divergence detection. It’s optimized for visual clarity with dynamic coloring and is suitable for both trend-following and mean-reversion traders.
Table shows:
Oscillator values with arrows and K/D status.
Current & Daily ATR with tops/bottoms.
Volume & % change, rising/falling indicator.
Volatility regime (Low/Normal/High) with color coding.
Momentum strength (strong/weak bullish/bearish).
Oscillator
stoch = hh != ll ? 100 * (src - ll) / (hh - ll) : 0
k = smooth(stoch, kSmoothing)
d = smooth(k, dSmoothing)
Standard stochastic normalization.
Smoothing based on selected type (SMA/EMA/WMA).
diff between K and D is normalized for the momentum ribbon color:
Greenish for bullish, red for bearish, silver for neutral.
Overbought / Oversold lines: 80/20, midline at 50.
4. BBWP Calculation
bbwp = f_bbwp(i_priceSrc, i_bbwpLen, i_bbwpLkbk, i_basisType)
bbwpSMA5 = f_maType(bbwp, 5, "SMA")
Heatmap Thresholds:
Low < 15%
High > 85%
Otherwise Normal.
Colors dynamically assigned for histogram and table background.
Plotted as columns if table
Bullish and Bearish divergence labels plotted, both regular and hidden.
Institutional AbsorptionHighlights potential zones where institutional participants may be absorbing aggressive buying or selling pressure.
It analyzes candle structure and volume to detect possible bullish and bearish absorption events, providing a visual cue for traders studying market imbalance and liquidity dynamics.
The script compares each candle’s wick–body ratio and volume relative to its moving average.
A bullish absorption setup occurs when strong volume appears after a sharp downward move with long lower wicks, while bearish absorption occurs after upward moves with long upper wicks, suggesting the presence of large counter-orders.
+ Features
Detects bullish and bearish absorption candles.
Customizable wick to body ratio and volume multiple thresholds.
Optional filter to require candle color alignment with trend (green/red).
Option to ignore tiny body (doji-like) candles.
+ How to Use
Adjust wick–body ratio, volume multiplier, and lookback length under “Conditions (Absorption)”.
Enable “Require candle color” to strengthen directional context.
Use alerts to receive notifications when new absorption signals appear.
+ Notes
This tool aims to visualize possible absorption behavior, not confirm institutional activity.
Combine it with your broader market structure, volume, or order flow analysis for a more comprehensive analysis.
NSR - Dynamic Linear Regression ChannelOverview
The NSR - Dynamic Linear Regression Channel is a powerful overlay indicator that plots a dynamic regression-based channel around price action. Unlike static channels, this tool continuously recalculates the linear regression trendline from a user-defined starting point and builds upper and lower boundaries using a combination of standard deviation and maximum price deviations (highs/lows).
It visually separates "Premium" (overvalued) and "Discount" (undervalued) zones relative to the regression trend — ideal for mean-reversion, breakout, or trend-following strategies.
Key Features
Dynamic Regression Line Calculates slope, intercept, and average using full lookback from a reset point.
Adaptive Channel Width Combines standard deviation of residuals with max high/low deviations for robust boundaries.
Auto-Reset on Breakout Channel resets when price closes beyond upper/lower band twice in direction of trend .
Visual Zones Blue shaded = Premium (resistance zone)
Red shaded = Discount (support zone)
Real-Time Updates Live channel extends with each bar; historical channels preserved on reset.
How It Works
Regression Calculation
Uses all bars since last reset to compute the best-fit line:
y = intercept + slope × bar_position
Deviation Bands
Statistical : Standard deviation of price from regression line
Structural : Maximum distance from highs to line (upper) and lows to line (lower)
Final band = Regression Line ± (Deviation Input × StdDev)
Channel Reset Logic
Resets when:
Price closes above upper band twice in an uptrend (slope > 0)
OR closes below lower band twice in a downtrend (slope < 0)
Prevents overextension and adapts to new trends.
Visual Output
Active channel updates in real-time
Completed channels saved as historical reference (up to 500 lines/boxes)
Input Parameters
Deviation (2.0) - Multiplier for standard deviation to set channel width
Premium Color - blue color for upper (resistance) zone
Discount Color - red color for lower (support) zone
Best Use Cases
Mean Reversion - Buy near lower band in uptrend, sell near upper band
Breakout Trading - Enter on confirmed close beyond band + volume
Trend Confirmation - Use slope direction + price position in channel
Stop Loss / Take Profit - Place stops beyond opposite band
Pro Tips
Use on higher timeframes (4H, Daily) for cleaner regression fits
Combine with volume or momentum to filter false breakouts
Lower Deviation (e.g., 1.5) for tighter, more responsive channels
Watch channel resets — they often mark significant trend shifts
Why Use DLRC?
"Most channels are static. This one evolves with the market."
The NSR-DLRC gives you a mathematically sound, visually intuitive way to see:
Where price should be (regression)
Where it has been (deviation extremes)
When the trend is breaking structure
Perfect for traders who want regression-based precision without rigid assumptions.
Add to chart → Watch price dance within the evolving trend corridor.
Greed Control AlgoisGreedBar = vol > ta.sma(vol, 20) * greedVolFactor and rsi > greedRsi
isTop = high == ta.highest(high, lookback)
isBottom = low == ta.lowest(low, lookback)
📐 Уровни и Прогноз v6 (без box, через fill)shortLine := line.new(bar_index, resLevel, bar_index + 20, target2, color=color.red, style=line.style_arrow_right, width=2)
tp1Short := label.new(bar_index + 10, target1, text="TP1 ↓", style=label.style_label_down, color=color.red, textcolor=color.white)
tp2Short := label.new(bar_index + 20, target2, text="TP2 ↓",
Intraday Multi-Signal Dashboard + Dynamic SignalsThis indicator provides a clean visual dashboard summarizing multiple intraday signals on a single chart.
It plots key trend and momentum metrics — EMA alignment, RSI zone, MACD histogram, and Volume vs. average — along with a compact dashboard table for quick decision support.
What It Does
EMA Trend Monitor: Plots 9-, 21-, and 50-period EMAs and detects when they align strongly up or down.
RSI Zone Analysis: Highlights overbought / oversold conditions based on configurable RSI thresholds.
MACD Momentum: Reads MACD histogram strength and directional bias (bullish/bearish).
Volume Check: Compares current volume against its moving average to spot above-average participation.
Dashboard Summary: Displays all current signal states in a color-coded table (green = bullish, red = bearish, orange = caution).
Dynamic Markers: Small floating circles plotted near candles (ATR-based offset) that move with price when zooming/panning.
⚙️ Inputs & Customization
Adjustable EMA lengths (default 9/21/50).
RSI length, overbought/oversold/neutral thresholds.
MACD parameters (fast, slow, signal).
Volume moving average length and threshold multiplier.
ATR-based marker offset for zoom scaling.
Compact mode toggle for the dashboard table.
Table anchor position selectable (top/bottom corners).
📈 How to Use
Add the script to your intraday chart (5 min – 1 hour works best).
Observe the dashboard table for quick signal consensus.
Use it as a visual aid alongside your existing strategy or confirmations.
Color cues:
🟢 Green → bullish alignment
🔴 Red → bearish alignment
🟠 Orange → caution / overbought or oversold
⚪ Gray → neutral
⚠️ Important Notes (Compliance)
This script is for informational and educational purposes only.
It does not generate buy/sell signals or financial advice.
All calculations use bar-close data and are non-repainting.
Past performance is not indicative of future results.
You may freely modify or adapt it for your personal use.
Original author: @darshakssc
🧠 Recommended Use
Ideal for traders who want a quick sentiment snapshot without clutter — works well as an overlay on intraday setups or alongside volume profile and order flow indicators
Multi-asset fvgsThis indicator shows only fair value gaps that are also gaps on other assets, nothing personal xd. Just a thing that ICT traders could like lmao.
Manish 3 EMA with Auto Lines + Numbers//@version=5
indicator("Manish 3 EMA with Auto Lines + Numbers", overlay=true)
// === Input for EMAs ===
ema9Length = input.int(9, title="EMA 9")
ema15Length = input.int(15, title="EMA 15")
ema44Length = input.int(44, title="EMA 44")
// === Calculate EMAs ===
ema9 = ta.ema(close, ema9Length)
ema15 = ta.ema(close, ema15Length)
ema44 = ta.ema(close, ema44Length)
// === Plot EMAs ===
plot(ema9, color=color.new(color.green, 0), title="EMA 9", linewidth=2)
plot(ema15, color=color.new(color.red, 0), title="EMA 15", linewidth=2)
plot(ema44, color=color.new(color.yellow,0), title="EMA 44", linewidth=2)
// === Variables for lines and labels ===
var line line9 = na
var line line15 = na
var line line44 = na
var label label9 = na
var label label15 = na
var label label44 = na
if barstate.islast
// Delete previous lines and labels
line.delete(line9)
line.delete(line15)
line.delete(line44)
label.delete(label9)
label.delete(label15)
label.delete(label44)
// Draw new solid lines (1px)
line9 := line.new(bar_index - 1, ema9, bar_index, ema9, extend=extend.right, color=color.new(color.green, 0), width=1)
line15 := line.new(bar_index - 1, ema15, bar_index, ema15, extend=extend.right, color=color.new(color.red, 0), width=1)
line44 := line.new(bar_index - 1, ema44, bar_index, ema44, extend=extend.right, color=color.new(color.yellow, 0), width=1)
// Add small number labels near lines
label9 := label.new(bar_index, ema9, "9", style=label.style_label_left, color=color.new(color.green, 0), textcolor=color.white, size=size.tiny)
label15 := label.new(bar_index, ema15, "15", style=label.style_label_left, color=color.new(color.red, 0), textcolor=color.white, size=size.tiny)
label44 := label.new(bar_index, ema44, "44", style=label.style_label_left, color=color.new(color.yellow, 0), textcolor=color.black, size=size.tiny)
Daily/Weekly/Monthlyplotting the multi sma indicator (dialy, weekly and monthly) along with the current time frame in the same indicator
Volumen x PrecioThis indicator displays the traded volume weighted by the closing price of each candle. It's useful for visualizing the intensity of capital movement in the market, beyond traditional volume.
Calculation: Volume × Closing Price
Display: Column-style histogram
Coloring:
🟩 Green if the session was bullish (close > open)
🟥 Red if the session was bearish (close < open)
Ideal for spotting high-activity zones with directional bias. It complements classic volume analysis and helps identify strong capital inflows or outflows.






















