Time ZonesThis indicator plots Horizontal lines for specific time on the chart as per the time selected and then trade accordingly
Indicadores e estratégias
All in 1 by PKAll in one indicator comprising of stock name and sector, adr %, Market cap, and moving averages
ATR STOPLOSS FINDER 📌 English Explanation
This script is an ATR (Average True Range) Stop Loss Finder with a 5-bar maximum marker.
Purpose:
Helps traders visualize dynamic stop loss levels based on ATR, and highlights the most recent maximum stop value within a given lookback period.
Key Features:
1. ATR Calculation:
- Calculates ATR using the selected smoothing method (RMA, SMA, EMA, WMA).
- Multiplied by a user-defined multiplier (default: ×1.01).
2. Long Stop Line:
- A trailing stop is drawn below the candle’s low (Low – ATR × Multiplier).
3. All Stop Dots:
- Small wine-colored dots are plotted along the stop line.
4. 5-bar MAX Dots:
- Within the last 5 bars (customizable), the highest stop value is highlighted with larger, brighter dots.
5. Label:
- The most recent 5-bar maximum stop is displayed with a label above the bar, pointing downward so it doesn’t block the candle.
6. Customization:
- Inputs allow adjustments for ATR length, smoothing type, multiplier, and lookback window.
Usage:
This indicator is useful for setting stop losses dynamically in trending markets. It visually tracks where your ATR-based stop should be and shows the strongest recent level.
📌 한글 설명
이 스크립트는 ATR(평균 진폭 지표) 기반 스탑로스 찾기 + 최근 5봉 최고 스탑 표시기입니다.
목적:
트레이더가 ATR 기반으로 변동성에 맞춘 동적 스탑로스를 설정하고,
최근 구간 중 가장 강력한 스탑 레벨을 시각적으로 확인할 수 있게 해줍니다.
핵심 기능:
1. ATR 계산:
- 선택한 이동평균 방식(RMA, SMA, EMA, WMA)으로 ATR을 계산.
- 사용자 지정 배수(기본 1.01배)를 곱함.
2. 롱 스탑 라인:
- 각 봉의 저가에서 (ATR × 배수)를 뺀 값으로 스탑 라인 생성.
3. 모든 스탑 점:
- 스탑 라인 위에 작은 와인색 점을 찍어 시각적으로 확인.
4. 최근 5봉 MAX 점:
- 최근 5봉(조정 가능) 동안의 최고 스탑 값을 더 진하고 크게 표시.
5. 라벨 표시:
- 최신 5봉 최고 스탑 값은 봉 위에 라벨로 표시되며, 꼭지는 아래로 향해 봉을 가리킴 → 봉을 가리지 않음.
6. 사용자 설정:
- ATR 길이, 이동평균 방식, 배수, 룩백 기간 등을 자유롭게 조정 가능.
활용법:
추세장에서 변동성에 맞춘 손절 라인을 자동으로 그려주므로 진입 후 스탑로스를 관리하는 데 유용합니다.
최근 최고 스탑 지점을 강조해주어 리스크 관리에 도움을 줍니다.
3 Velas alejadas de EMA4 (1m) — Reversiónes una script de ema de 4 que sube o baja asdasdasdadadasdasdadasd
Bitcoin vs. Gold correlation with lagBTC vs Gold (Lag) + Correlation — multi-timeframe, publication notes
What it does
Plots Gold on the same chart as Bitcoin, with a configurable lead/lag.
Lets you choose how the series is displayed:
Gold shifted forward (+lag on chart) — shows gold ahead of BTC on the time axis (visual offset).
Gold aligned to BTC (gold lag) — standard alignment; gold is lagged for calculation and plotted in place.
BTC 200D Lag (BTC shifted forward) — visualizes BTC shifted forward (like popular “BTC 200D Lag” charts).
Computes Pearson correlations between BTC (no lag) and Gold (with lag) over multiple lookback windows equivalent to:
30d, 60d, 90d, 180d, 365d, 2y (730d), 3y (1095d), 5y (1825d).
Shows a table with the correlation values, automatically scaled to the current timeframe.
Why this is useful
A common macro claim is that BTC tends to follow Gold with a delay (e.g., ~200 trading days). This tool lets you:
Visually advance Gold (or BTC) to see that lead-lag relationship on the chart.
Quantify the relationship with rolling correlations.
Switch timeframes (D/W/M/…): everything automatically stays in sync.
Quick start
Open a BTC chart (any exchange).
Add the indicator.
Set Gold symbol (default TVC:GOLD; alternatives: OANDA:XAUUSD, COMEX:GC1!, etc.).
Choose Lag value and Lag unit (Days/Weeks/Months/Years/Bars).
Pick Visual Mode:
To mirror those “BTC 200D Lag” posts: choose “BTC 200D Lag (BTC shifted forward)” with 200 Days.
To view Gold 200D ahead of BTC: select “Gold shifted forward (+lag on chart)” with 200 Days.
Keep Rebase to 100 ON for an apples-to-apples visual scale. (You can move the study to the left price scale if needed.)
Inputs
Gold symbol: external series to pair with BTC.
Lag value: numeric value.
Lag unit: Days, Weeks, Months (≈30d), Years (≈365d), or direct Bars.
Visual mode:
Gold shifted forward (+lag on chart) → gold is offset to the right by the lag (visual only).
Gold aligned to BTC (gold lag) → standard plot (no visual offset); correlations still use lagged gold.
BTC 200D Lag (BTC shifted forward) → BTC is offset to the right by the lag (visual only).
Rebase to 100 (visual): rescales each series to 100 on its first valid bar for clearer comparison.
Show gold without lag (debug): optional reference line.
Show price tag for gold (lag): toggles the track price label.
Timeframe handling
The study uses the current chart timeframe for both BTC and Gold (timeframe.period).
Lag in time units (Days/Weeks/Months/Years) is internally converted to an integer number of bars of the active timeframe (using timeframe.in_seconds).
Example: on W (weekly), 200 days ≈ 29 bars.
On intraday timeframes, days are converted proportionally.
Correlation math
Correlation = ta.correlation(BTC, Gold_lagged, length_in_bars)
Lookback lengths are the bar-equivalents of 30/60/90/180/365/730/1095/1825 days in the active timeframe.
Important: correlations are computed on prices (not returns). If you prefer returns-based correlation (often more statistically robust), duplicate the script and replace price inputs with change(close) or ta.roc(close, 1).
Reading the table
Window: nominal day label (e.g., 30d, 1y, 5y).
Bars (TF): how many bars that window equals on the current timeframe.
Correlation: Pearson coefficient . Background tint shows intensity and sign.
Tips & caveats
Visual offsets (offset=) move series on screen only; they don’t affect the math. The math always uses BTC (no lag) × Gold (lagged).
With large lags on high timeframes, early bars will be na (normal). Scroll forward / reduce lag.
If your Gold feed doesn’t load, try an alternative symbol that your plan supports.
Rebase to 100 helps visibility when BTC ($100k) and Gold ($2k) share a scale.
Months/Years use 30/365-day approximations. For exact control, use Days or Bars.
Correlations on very short lengths or sparse data can be unstable; consider the longer windows for sturdier signals.
This is a visual/analytical tool, not a trading signal. Always apply independent risk management.
Suggested setups
Replicate “BTC 200D Lag” charts:
Visual Mode: BTC 200D Lag (BTC shifted forward)
Lag: 200 Days
Rebase: ON
Gold leads BTC (Gold ahead):
Visual Mode: Gold shifted forward (+lag on chart)
Lag: 200 Days
Rebase: ON
Compatibility: Pine v6, overlay study.
Best with: BTCUSD (any exchange) + a reliable Gold feed.
Author’s note: Lead-lag relationships are not stable over time; treat correlations as descriptive, not predictive.
LRSlope - Linear Regression SlopeThis indicator attempts to predict the direction of the trend using least squares moving averages (LSMA).
The indicator's core purpose is to determine whether the price trajectory has a positive or negative slope and calculate directional changes. It also measures the strength of price momentum by calculating how strongly the slope.
The indicator calculates the slope of the curve for each bar and the EMA of these slopes for the specified period (Curve Length). It is consists of a histogram and two lines named "Average Slope"(white line) and "Simple" (green line).
The "Average Slope" is the simple moving average of the calculated EMA values.
" Simple " is SMA of calculated slopes.
The color of the histogram changes depending on the relative position of these two lines and zero line.
Simply put, the green bars of the histogram indicate an uptrend, blue bars indicate a horizontal or reverse movement, and red bars indicate a downtrend.
It is possible to see the strength of the momentum by the amount of change in the " Simple" (green line).
EMA 10 & EMA 50A simple Pine Script that combines EMA 10 and EMA 50 into a single indicator so you don’t have to load two separate EMAs
HIFI Altcoin Season Index (Total3 vs BTC)This indicator helps you determine whether the crypto market is in an "altcoin season" or a "bitcoin season." It doesn't compare every single altcoin to Bitcoin individually; instead, it uses a more efficient approach.
Methodology
The index calculates the difference in price performance over a selected period (default 90 days) between the total market capitalization of altcoins without Ethereum (TOTAL3) and Bitcoin (BTC).
Interpretation
Value above 75: TOTAL3 is showing significantly stronger growth than BTC, indicating an ALTCOIN SEASON. 🚀
Value below 25: BTC is outperforming TOTAL3, indicating a BITCOIN SEASON. 👑
Value between 25 and 75: The market is in a mixed or neutral phase. 🤷
Benefits
This method avoids the technical limitations of Pine Script when requesting data for a large number of symbols, making the indicator stable and reliable.
Disclaimer: This indicator is a tool for market analysis and should not be considered financial advice.
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool
Automatically composite multiple time periods to identify key areas of balance and market structure
What is the Composite Time Profile Overlay?
The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance.
The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action.
Why Use CTPO for Market Profile Trading?
Eliminate Manual Compositing Work
Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period.
Spot Areas of Balance Quickly
The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods.
Focus on What Matters
Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold.
How CTPO Works for Market Profile Traders
Automatic Profile Compositing
CTPO uses a proprietary algorithm that:
- Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection)
- Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation
- Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required)
- Updates composite levels as new price action develops in real-time
Key Levels for Market Profile Analysis
The indicator displays:
- Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data
- Point of Control (POC) levels where most trading occurred across all composited periods
- Composite zones representing areas of balance with configurable transparency
- 1.618 Fibonacci extensions for breakout targets based on composite range
Multiple Timeframe Support
- Sessions: For intraday market profile analysis
- Daily: For swing trading with daily profiles
- Weekly: For position trading with weekly structure
- Monthly: For long-term market profile analysis
- Auto: Automatically selects timeframe based on your chart
Trading Applications for Market Profile Users
Support and Resistance Trading
Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes.
Breakout Trading
When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades.
Mean Reversion Strategies
Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean.
Institutional Level Analysis
Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity.
Key Features for Market Profile Traders
Smart Compositing Logic
- Automatic overlap detection using price range intersection algorithms
- Configurable overlap thresholds (minimum 50% overlap required for merging)
- Dead composite identification (profiles that become engulfed by newer composites)
- Real-time updates as new price action develops using barstate.islast optimization
Visual Customization
- Customizable colors for active, broken, and dead composites
- Adjustable transparency levels for each composite state
- Premium/Discount zone highlighting based on current price vs composite range
- TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure
- Fibonacci level extensions with 1.618 target calculations based on composite range
Clean Chart Presentation
- Only shows the most relevant composite levels (maximum 10 active composites)
- Eliminates clutter from individual session profiles
- Focuses on areas of balance that matter most to current price action
Real-World Trading Examples
Day Trading with Session Composites
Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies.
Swing Trading with Daily Composites
Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets.
Position Trading with Weekly Composites
Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years.
Risk Management
Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions.
Why Composite Levels Work
Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies.
The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels.
Technical Foundation
The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations.
How the Code Actually Works
1. Period Detection and ATR Calculation
The code first determines the appropriate timeframe based on your chart:
- 1m-5m charts: Session-based profiles
- 15m-2h charts: Daily profiles
- 4h charts: Weekly profiles
- 1D charts: Monthly profiles
For each period type, it calculates the number of bars needed for ATR calculation:
- Sessions: 540 minutes divided by chart timeframe
- Daily: 1440 minutes divided by chart timeframe
- Weekly: 7 days worth of minutes divided by chart timeframe
- Monthly: 30 days worth of minutes divided by chart timeframe
2. C2M Row Size Calculation
The code calculates True Range for each bar in the determined period:
- True Range = max(high-low, |high-prevClose|, |low-prevClose|)
- Averages all True Range values to get ATR
- Row Size = (ATR / 10) converted to tick size
- This ensures each TPO row represents a meaningful price movement
3. TPO Profile Generation
For each period, the code:
- Creates price levels from lowest to highest price in the range
- Each level is separated by the calculated row size
- Counts how many bars touch each price level (TPO count)
- Finds the level with highest count = Point of Control (POC)
- Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included
4. Overlap Detection Algorithm
When a new profile is created, the code checks if it overlaps with existing composites:
- Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL)
- Calculates current profile range = currentVAH - currentVAL
- Overlap percentage = (overlap range / current profile range) * 100
- If overlap >= 50%, profiles are merged into a composite
5. Composite Merging Logic
When profiles overlap, the code creates a new composite by:
- Taking the earliest start bar and latest end bar
- Using the wider VAH/VAL range (max of both profiles)
- Keeping the POC from the profile with more TPO blocks
- Marking the composite as "active" until price breaks through
6. Real-Time Updates
The code uses barstate.islast to optimize performance:
- Only recalculates on the last bar of each period
- Updates active composite with live price action if enabled
- Cleans up old composites to prevent memory issues
- Redraws all visual elements from scratch each bar
7. Visual Rendering System
The code uses arrays to manage drawing objects:
- Clears all lines/boxes arrays on every bar
- Iterates through composites array to redraw everything
- Uses different colors for active, broken, and dead composites
- Calculates 1.618 Fibonacci extensions for broken composites
Getting Started with CTPO
Step 1: Choose Your Timeframe
Select the period type that matches your trading style:
- Use "Sessions" for day trading
- Use "Daily" for swing trading
- Use "Weekly" for position trading
- Use "Auto" to let the indicator choose based on your chart timeframe
Step 2: Customize the Display
Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis.
Step 3: Identify Key Levels
Look for:
- Composite zones (blue boxes) - major areas of balance
- VAH/VAL lines - value area boundaries
- POC lines - areas of highest trading activity
- 1.618 extension lines - breakout targets
Step 4: Develop Your Strategy
Use these levels to:
- Set entry points near composite zones
- Place stop losses beyond composite levels
- Take profits at 1.618 extension levels
- Identify trend changes when major composites break
Perfect for Market Profile Traders
If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most.
The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed.
Streamline Your Market Profile Analysis
Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter.
Ready to Streamline Your Market Profile Trading?
Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
Multiplied and Divided Moving Average ### Multiplied and Divided Moving Average Indicator
**Description**:
The "Multiplied and Divided Moving Average" indicator is a customizable tool for TradingView users, designed to create dynamic bands around a user-selected moving average (MA). It calculates a moving average (SMA, EMA, WMA, VWMA, or RMA) and generates a user-defined number of lines above and below it by multiplying and dividing the MA by linearly spaced factors. These bands serve as potential support and resistance levels, aiding in trend identification, mean reversion strategies, or breakout detection. Optional Buy/Sell labels appear when the price crosses below the divided MAs (Buy) or above the multiplied MAs (Sell), providing clear visual cues for trading opportunities.
**Key Features**:
- **Flexible MA Types**: Choose from Simple (SMA), Exponential (EMA), Weighted (WMA), Volume-Weighted (VWMA), or Running (RMA) moving averages.
- **Customizable Bands**: Set the number of lines (0–10) above and below the MA, allowing tailored analysis for any market or timeframe.
- **Dynamic Factors**: Bands are created using factors that scale linearly from 1 to a user-defined maximum (default: 5.0), creating intuitive overbought/oversold zones.
- **Buy/Sell Signals**: Optional labels highlight potential entry (Buy) and exit (Sell) points when the price crosses the bands.
- **Clear Visuals**: The main MA is plotted in blue, with green (multiplied) and red (divided) lines using graduated transparency for easy differentiation.
**Inputs**:
- **MA Type**: Select the moving average type (default: SMA).
- **MA Length**: Set the MA period (default: 14).
- **Number of Lines Above/Below**: Choose how many bands to plot above and below the MA (default: 4, range: 0–10).
- **Max Factor**: Define the largest multiplier/divisor for the outermost bands (default: 5.0).
- **Source**: Select the price data for the MA (default: close).
- **Show Buy/Sell Labels**: Enable or disable Buy/Sell labels (default: true).
**How It Works**:
1. Calculates the chosen moving average based on user inputs.
2. Creates up to 10 lines above the MA (e.g., MA × 2, ×3, ×4, ×5 for `numLines=4`, `maxFactor=5`) and 10 below (e.g., MA ÷ 2, ÷3, ÷4, ÷5).
3. Plots the main MA in blue, multiplied lines in green, and divided lines in red, with transparency increasing for outer bands.
4. If enabled, displays "Buy" labels when the price crosses below any divided MA and "Sell" labels when it crosses above any multiplied MA, positioned at the outermost band.
**Use Cases**:
- **Trend Analysis**: Use the bands as dynamic support/resistance to confirm trend direction or reversals.
- **Mean Reversion**: Identify overbought (near multiplied MAs) or oversold (near divided MAs) conditions.
- **Breakout Trading**: Monitor price crossovers of the outermost bands for potential breakout signals.
- **Signal Confirmation**: Use Buy/Sell labels for swing trading or to complement other indicators.
**How to Use**:
1. Copy the script into TradingView’s Pine Editor.
2. Compile and apply it to your chart (e.g., stocks, forex, crypto).
3. Adjust inputs like `numLines`, `maxFactor`, or `maType` to fit your strategy.
4. Enable `Show Buy/Sell Labels` to visualize trading signals.
5. Test on various timeframes (e.g., 1H, 4H, 1D) and assets to optimize settings.
**Example Settings**:
- **Swing Trading**: Use `numLines=3`, `maxFactor=4`, `maType=EMA`, `maLength=20` on a 4-hour chart.
- **Intraday**: Try `numLines=2`, `maxFactor=3`, `maType=SMA`, `maLength=10` on a 15-minute chart.
**Notes**:
- **Performance**: Supports up to 20 bands (10 above, 10 below), staying within TradingView’s 64-plot limit.
- **False Signals**: In choppy markets, frequent crossovers may occur. Combine with trend filters (e.g., ADX, higher-timeframe MA) to reduce noise.
- **Enhancements**: Add alerts via TradingView’s alert system for Buy/Sell signals, or experiment with different `maxFactor` values for volatility.
**Limitations**:
- Bands are reactive, as they’re based on a moving average, so confirm signals with other indicators.
- High `numLines` values may clutter the chart; use 2–4 for clarity.
- Signals may lag in fast-moving markets due to the MA’s smoothing effect.
This indicator is perfect for traders seeking a customizable, visually clear tool to enhance technical analysis on TradingView. For support, feature requests (e.g., alerts, custom colors), or community discussion, visit TradingView’s forums or contact the script author.
Session BreaksSession Breaks (stable) draws vertical lines at the exact start of each Day / Week / Month / Quarter / Half-Year / Year aligned to the instrument’s TradingView session (Regular, Extended, or Custom). The script prioritizes higher timeframes (Y→H→Q→M→W→D) so lines never overlap, and it works on any chart timeframe.
Features
Session-aligned boundaries (respect exchange hours)
Toggle any timeframe, pick colors/styles
“Highest TF wins” de-dup logic (no clutter)
Lightweight, history-safe (line cap to protect performance)
Indicator only — places no orders or alerts by itself
Tip: Choose the session mode in settings to match your market hours.
BASE - Consolidation with Fractal BreakoutsHow It Works
This indicator analyzes historical price data to find periods where the market is trading within a relatively tight range, which is a key characteristic of consolidation. Once a consolidation period is identified, it draws a channel showing the upper and lower price boundaries. The indicator then looks for a breakout, which is a significant price movement beyond these boundaries.
Fractal Breakouts: The script uses a fractal-based approach to confirm breakouts. A fractal is a specific price pattern that marks a high or low point in the market. The code identifies a breakout when the price breaks above a previous fractal high (an upward breakout) or below a previous fractal low (a downward breakout).
Visual Elements: The indicator provides several visual cues to help traders:
Consolidation Zone: It shades the area between the high and low of the consolidation period to make it visually distinct.
Boundary Lines: It draws dashed lines marking the high and low prices of the consolidation range.
Middle Line: An optional line is displayed at the 50% mark of the consolidation range.
Breakout Symbols: It places up (⬆) or down (⬇) arrow symbols on the chart to indicate the direction of a confirmed breakout.
Candle Colors: It can optionally color the price candles themselves to signal a breakout.
Alerts: The script is configured to trigger an alert when a breakout occurs, notifying the user.
Customization
The script offers several user-configurable settings to tailor its behavior, which are accessed through the indicator's settings menu:
Loopback Period: Controls the number of past bars the indicator looks at to identify price fractals.
Min Consolidation Length: Sets the minimum number of bars required to define a valid consolidation period.
Paint Consolidation Area: A toggle to show or hide the shaded consolidation zone.
Show Fractal Breakout Symbols: A toggle to show or hide the breakout symbols.
Show Middle Price Line: A toggle to show or hide the middle price line.
Color Candles on Breakout: A toggle to enable or disable coloring the candles during a breakout.
This tool is useful for traders who employ breakout strategies, as it automates the process of identifying potential entry and exit points after a period of market indecision.
Stalonte EMA - Stable Long-Term EMA with AlertsStalonte EMA - The Adaptive & Stable EMA - Almost Eternal
Here's why you will love "Stalonte":
The Stalonte (Stable Long-Term EMA) is a highly versatile trend-following tool. Unlike standard EMAs with fixed periods, it uses a configurable smoothing constant (alpha), allowing traders to dial in the exact level of responsiveness and stability they need. Finding the "sweet spot" (e.g., alpha ~0.03) creates a uniquely effective moving average: it is smooth enough to filter out noise and identify safe, high-probability trends, yet responsive enough to provide actionable signals without extreme lag. It includes alerts for crossovers and retests.
Pros and Cons of the Stalonte EMA
Pros:
Unparalleled Adaptability: This is its greatest strength. The alpha input lets you seamlessly transform the indicator from an ultra-slow "trend-revealer" (low alpha) into a highly effective and "safe" trend-following tool (medium alpha, e.g., 0.03), all the way to a more reactive one.
Optimized for Safety & Signal Quality: As you astutely pointed out, with the proper setting (like 0.03), it finds the perfect balance. It provides a smoother path than a standard 20-50 period EMA, which reduces whipsaws and false breakouts, leading to safer, higher-confidence signals.
Superior Trend Visualization: It gives a cleaner and more intuitive representation of the market's direction than many conventional moving averages, making it easier to "see" the trend and stick with it.
Objective Dynamic Support/Resistance: The line created with a medium alpha setting acts as a powerful dynamic support in uptrends and resistance in downtrends, offering excellent areas for entries on retests with integrated alerts.
Cons:
Requires Calibration: The only "con" is that its performance is not plug-and-play; it requires the user to find their optimal alpha value for their specific trading style and the instrument they are trading. This demands a period of testing and customization, which a standard 50-period EMA does not.
Conceptual Hurdle: For traders only familiar with period-based EMAs, the concept of a "smoothing constant" can be initially confusing compared to simply setting a "length."
In summary:
The Stalonte EMA is not a laggy relic. It is a highly sophisticated and adaptable tool. Its design allows for precise tuning, enabling a trader to discover a setting that offers a superior blend of stability and responsiveness—a "sweet spot" that provides safer and often more effective signals than many traditional moving averages. Thank you for pushing for a more accurate and fair assessment.
Use Case Example:
You can combine it with classical EMAs to find the perfect entry.
MA Suite 6 Config - Bian (mack)Script to configure up to 6 emas with different settings, color updates and display identifying each one in the bottom corner of the chart.
Reverse RSI [R] – Predictive RSI Price LevelsReverse RSI – Predictive RSI Price Levels
Description
This indicator is a modified and enhanced version of the original "Reverse RSI" by Franklin Moormann (cheatcountry), published under the MIT License. It estimates the price levels at which the RSI would reach specific thresholds, typically RSI = 30 (oversold) and RSI = 70 (overbought), based on current market conditions.
Key Features
Calculates price levels corresponding to RSI = 30 and RSI = 70
Helps forecast potential support and resistance zones based on RSI targets
Automatically updates with each new candle
Supports custom RSI length and price source (close, hl2, ohlc4, etc.)
Designed for traders who want to anticipate momentum extremes before they occur
Use Cases
Estimate how far the price must move to reach RSI oversold or overbought levels
Plan limit entries or exits based on projected RSI thresholds
Combine with standard RSI or other indicators for confirmation and analysis
Credits
This script is based on the original "Reverse RSI" by Franklin Moormann (cheatcountry) and released under the MIT License.
Modified and maintained by bitcoinrb.
Scalp Flags — Price Action EMA/RSI//@version=5
indicator("TEST FLAGS OVERLAY", overlay=true)
// simple EMAs
fast = ta.ema(close, 9)
slow = ta.ema(close, 21)
// signals
buy = ta.crossover(fast, slow)
sell = ta.crossunder(fast, slow)
// draw on price panel
plotshape(buy, title="BUY", location=location.belowbar, style=shape.labelup, color=color.green, text="BUY", size=size.small)
plotshape(sell, title="SELL", location=location.abovebar, style=shape.labeldown, color=color.red, text="SELL", size=size.small)
// show EMAs for verification
plot(fast, color=color.new(color.green, 0))
plot(slow, color=color.new(color.red, 0))
Médias Móveis 5 - SMA, EMA, Pivot Boss📈 5 Moving Averages – SMA, EMA, Pivot Boss
This indicator displays five fully customizable moving averages, allowing you to choose between:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
Pivot Boss S (SMA of Pivot Point)
Pivot Boss E (EMA of Pivot Point)
Each moving average can have its own type and length, making this tool suitable for scalping, trend-following, and multi-timeframe analysis.
trade buy-sell sushantThis indicator generates Buy and Sell signals based on a simple two-bar pattern comparison. It checks whether the last two candles have the same directional bias (bullish or bearish) and then confirms momentum by comparing the current and previous closes.
RSI by Tamil harmonic trader rajRSI indicator - will display RSI value in the middle right chart as per timeframe
LONG Daily Candle (MACD)LONG Daily Candle (MACD)
A long-entry strategy based on the daily bullish candle (SC) with filters by EMA200, EMA20, volume, and MACD (modes: Spring / Spring+Summer / No filter).
Risk management via ATR: customizable SL and TP, position sizing based on account capital and risk percentage.
Includes an optional breakeven shift once 1RR is reached.
LONG Daily Candle (MACD)
Стратегия входа в лонг по дневной бычьей свече (SC) с фильтрами по EMA200, EMA20, объёму и MACD (режимы: весна / весна+лето / без фильтра).
Управление риском через ATR: настраиваемые SL и TP, расчёт размера позиции от капитала и процента риска.
Есть опция перевода позиции в безубыток при достижении 1RR.
MACD Momentum Shift MACD momentum shift (alert system). I have designed this indicator as an early alert system for momentum shifts. The indicator will fire on the second consecutive histogram bar with decreasing bearish momentum (light pink bars). My thought process is that it should provide traders with an earlier alert than a typical (MACD line crossing Signal line) alert available on Trading View. However, this is not a buy indicator! It's an early alert system. My trading technique is heavily based on where the 9/20/50/100/200 EMAs are compared to one another, on the hourly timeframe and the daily tiemframe. I plan to combine this alert system with technical analysis to make better trades. Cheers.
James
Hunt+FVG+AlertA gift to my best friend Sina creator of Solar.
This indicator is designed to mark previous day high and low and to give alert when these lines are hunted and bullish or bearish FVGs are created.