VWAP Diario (línea negra en precio)It's just the 1D VWAP average line. It's used to determine when you're entering a bullish or bearish daily structure.
المؤشرات والاستراتيجيات
ATR% Multiple From MA - Overextensions trackingATR% Multiple From MA - Quantifiable Profit Taking Indicator
This overlay indicator identifies overextended price moves by calculating how many ATR% multiples price is away from a moving average, providing objective profit-taking signals.
Formula:
A = ATR% = (ATR / Price) × 100
B = % Gain from MA = ((Price - MA) / MA) × 100
ATR% Multiple = B / A
Signals:
Yellow circle at 7x: Start scaling out partial profits
Red circle at 10x+: Heavily overextended, aggressive profit taking recommended
Stats table: Real-time ATR% Multiple, % Gain from MA, ATR%, and action status
For very volatile markets I usually go for 10x and 15x extension instead of 7x and 10x.
This method normalizes moves across different volatility environments, eliminating emotional decision-making. Historical examples include PLTR, SOFI, TSLA, NVDA which stalled after exceeding 10x.
Customizable Settings:
ATR Length (default: 14)
MA Length (default: 50)
Profit Zone thresholds (7x, 10x)
Toggle circles and MA display
OOO Trade (By Bodinphat) V.2Description:
This indicator is an advanced trend-following system that combines multi-timeframe signals, order block zones (OB Zones), and precision-based metrics to help traders identify high-probability buy and sell opportunities.
It automatically analyzes EMA trends, RSI pullbacks, ADX strength, and volume confirmation to calculate a dynamic confidence score for both long and short directions.
The system also displays:
📊 Multi-Timeframe Trend Strip (M1 → D1) — showing each timeframe’s directional bias (Buy/Sell/Neutral).
🎯 OB Zones (Order Blocks) — highlights institutional demand (Bullish OB) and supply (Bearish OB) zones on the chart.
📋 Right-Side Info Panel — displays key metrics such as score, accuracy, SL/TP targets, and bias direction in real-time.
⚡ Session Filters — optional London/NY session filters for more accurate signal alignment.
This tool is ideal for traders who want to follow structured price action while maintaining a clear view of market strength and institutional zones.
It works best with XAUUSD, GBPUSD, and major indices on intraday or swing timeframes.
% Away from x DMA% Away from X DMA
This indicator measures how far the current price is from a chosen moving average, expressed as a percentage. It helps identify overbought/oversold conditions and
mean reversion opportunities.
How It Works:
- Calculates a Simple Moving Average (SMA) for the specified period
- Measures the percentage distance between current price and the moving average
- Positive values indicate price is above the average
- Negative values indicate price is below the average
Key Features:
- Flexible Period: Customize the moving average length (default: 200 DMA)
- Percentage-Based: Standardized measurement works across all price ranges
- Visual Clarity: Blue area plot makes deviations easy to spot
- Universal Application: Works with any asset or timeframe
Trading Applications:
- Mean Reversion: Extreme values often precede reversals back to the mean
- Trend Strength: Large positive values indicate strong uptrends
- Support/Resistance: Major moving averages act as dynamic support/resistance
- Entry Timing: Buy dips when significantly below, sell rallies when extended above
- Risk Management: Avoid entries during extreme deviations
Common Settings:
- 20 DMA: Short-term trend and swing trading
- 50 DMA: Intermediate trend analysis
- 200 DMA: Long-term trend and major support/resistance (default)
Interpretation Guidelines:
- +/-5-10%: Normal price action
- +/-10-20%: Extended move, caution warranted
- +/-20%+: Extreme deviation, high probability mean reversion setup
Ideal for swing traders, mean reversion strategies, and identifying optimal entry/exit points relative to trend.
Coinbase Premium IndexCoinbase Premium Index
This indicator tracks the price premium or discount of Bitcoin on Coinbase relative to Binance, providing insights into institutional demand and market sentiment.
How It Works:
- Compares BTC/USD price on Coinbase vs BTC/USDT on Binance
- Calculates the price differential in real-time
- Displays as a histogram with positive (green) or negative (red) values
- Offers both percentage and dollar-based views
Key Features:
- Dual Display Modes: Switch between percentage and dollar premium
- Color-Coded Histogram: Green bars indicate Coinbase premium, red bars show discount
- Real-Time Data: Uses live price feeds from both exchanges
- Clean Visualization: Easy-to-read histogram format in separate pane
Market Implications:
- Positive Premium (Green): Coinbase trading higher = potential institutional buying pressure
- Negative Premium (Red): Coinbase trading lower = possible institutional selling or retail dominance
- Magnitude Matters: Larger premiums/discounts suggest stronger sentiment shifts
- Divergence Signals: Premium changes can precede price movements
Use Cases:
- Gauge institutional vs retail sentiment
- Identify potential trend reversals
- Confirm breakout strength
- Monitor smart money flow
Settings:
- Display Mode: Choose between "Percentage" or "Dollar" view
Days Without -x% Move (Within x Days)Days Without X% Move
This indicator tracks consecutive days without a significant price drop, helping traders monitor market stability and potential risk buildup.
How It Works:
- Monitors a rolling window (default: 3 days) for the maximum drawdown
- Resets the counter when price drops by the specified percentage (default: 15%)
- Counts consecutive days where the threshold hasn't been breached
- Higher values indicate extended periods without significant corrections
Key Features:
- Configurable Drop Threshold: Set the percentage drop that resets the counter
- Adjustable Window: Define the lookback period for measuring drawdowns
- Wick Analysis: Option to include or exclude wicks in calculations
- Visual Display: Red area plot shows the current streak length
Use Cases:
- Risk management: Identify when markets are "overdue" for a correction
- Market regime analysis: Compare calm vs volatile periods
- Position sizing: Adjust exposure based on streak length
- Entry timing: Higher streak values may indicate increased correction risk
Squeeze Hour Frequency [CHE]Squeeze Hour Frequency (ATR-PR) — Standalone — Tracks daily squeeze occurrences by hour to reveal time-based volatility patterns
Summary
This indicator identifies periods of unusually low volatility, defined as squeezes, and tallies their frequency across each hour of the day over historical trading sessions. By aggregating counts into a sortable table, it helps users spot hours prone to these conditions, enabling better scheduling of trading activity to avoid or target specific intraday regimes. Signals gain robustness through percentile-based detection that adapts to recent volatility history, differing from fixed-threshold methods by focusing on relative lowness rather than absolute levels, which reduces false positives in varying market environments.
Motivation: Why this design?
Traders often face uneven intraday volatility, with certain hours showing clustered low-activity phases that precede or follow breakouts, leading to mistimed entries or overlooked calm periods. The core idea of hourly squeeze frequency addresses this by binning low-volatility events into 24 hourly slots and counting distinct daily occurrences, providing a historical profile of when squeezes cluster. This reveals time-of-day biases without relying on real-time alerts, allowing proactive adjustments to session focus.
What’s different vs. standard approaches?
- Reference baseline: Classical volatility tools like simple moving average crossovers or fixed ATR thresholds, which flag squeezes uniformly across the day.
- Architecture differences:
- Uses persistent arrays to track one squeeze per hour per day, preventing overcounting within sessions.
- Employs custom sorting on ratio arrays for dynamic table display, prioritizing top or bottom performers.
- Handles timezones explicitly to ensure consistent binning across global assets.
- Practical effect: Charts show a persistent table ranking hours by squeeze share, making intraday patterns immediately visible—such as a top hour capturing over 20 percent of total events—unlike static overlays that ignore temporal distribution, which matters for avoiding low-liquidity traps in crypto or forex.
How it works (technical)
The indicator first computes a rolling volatility measure over a specified lookback period. It then derives a relative ranking of the current value against recent history within a window of bars. A squeeze is flagged when this ranking falls below a user-defined cutoff, indicating the value is among the lowest in the recent sample.
On each bar, the local hour is extracted using the selected timezone. If a squeeze occurs and the bar has price data, the count for that hour increments only if no prior mark exists for the current day, using a persistent array to store the last marked day per hour. This ensures one tally per unique trading day per slot.
At the final bar, arrays compile counts and ratios for all 24 hours, where the ratio represents each hour's share of total squeezes observed. These are sorted ascending or descending based on display mode, and the top or bottom subset populates the table. Background shading highlights live squeezes in red for visual confirmation. Initialization uses zero-filled arrays for counts and negative seeds for day tracking, with state persisting across bars via variable declarations.
No higher timeframe data is pulled, so there is no repaint risk from external fetches; all logic runs on confirmed bars.
Parameter Guide
ATR Length — Controls the lookback for the volatility measure, influencing sensitivity to short-term fluctuations; shorter values increase responsiveness but add noise, longer ones smooth for stability — Default: 14 — Trade-offs/Tips: Use 10-20 for intraday charts to balance quick detection with fewer false squeezes; test on historical data to avoid over-smoothing in trending markets.
Percentile Window (bars) — Sets the history depth for ranking the current volatility value, affecting how "low" is defined relative to past; wider windows emphasize long-term norms — Default: 252 — Trade-offs/Tips: 100-300 bars suit daily cycles; narrower for fast assets like crypto to catch recent regimes, but risks instability in sparse data.
Squeeze threshold (PR < x) — Defines the cutoff for flagging low relative volatility, where values below this mark a squeeze; lower thresholds tighten detection for rarer events — Default: 10.0 — Trade-offs/Tips: 5-15 percent for conservative signals reducing false positives; raise to 20 for more frequent highlights in high-vol environments, monitoring for increased noise.
Timezone — Specifies the reference for hourly binning, ensuring alignment with market sessions — Default: Exchange — Trade-offs/Tips: Set to "America/New_York" for US assets; mismatches can skew counts, so verify against chart timezone.
Show Table — Toggles the results display, essential for reviewing frequencies — Default: true — Trade-offs/Tips: Disable on mobile for performance; pair with position tweaks for clean overlays.
Pos — Places the table on the chart pane — Default: Top Right — Trade-offs/Tips: Bottom Left avoids candle occlusion on volatile charts.
Font — Adjusts text readability in the table — Default: normal — Trade-offs/Tips: Tiny for dense views, large for emphasis on key hours.
Dark — Applies high-contrast colors for visibility — Default: true — Trade-offs/Tips: Toggle false in light themes to prevent washout.
Display — Filters table rows to focus on extremes or full list — Default: All — Trade-offs/Tips: Top 3 for quick scans of risky hours; Bottom 3 highlights safe low-squeeze periods.
Reading & Interpretation
Red background shading appears on bars meeting the squeeze condition, signaling current low relative volatility. The table lists hours as "H0" to "H23", with columns for daily squeeze counts, percentage share of total squeezes (summing to 100 percent across hours), and an arrow marker on the top hour. A summary row above details the peak count, its share, and the leading hour. A label at the last bar recaps total days observed, data-valid days, and top hour stats. Rising shares indicate clustering, suggesting regime persistence in that slot.
Practical Workflows & Combinations
- Trend following: Scan for hours with low squeeze shares to enter during stable regimes; confirm with higher highs or lower lows on the 15-minute chart, avoiding top-share hours post-news like tariff announcements.
- Exits/Stops: Tighten stops in high-share hours to guard against sudden vol spikes; use the table to shift to conservative sizing outside peak squeeze times.
- Multi-asset/Multi-TF: Defaults work across crypto pairs on 5-60 minute timeframes; for stocks, widen percentile window to 500 bars. Combine with volume oscillators—enter only if squeeze count is below average for the asset.
Behavior, Constraints & Performance
Logic executes on closed bars, with live bars updating counts provisionally but finalizing on confirmation; table refreshes only at the last bar, avoiding intrabar flicker. No security calls or higher timeframes, so no repaint from external data. Resources include a 5000-bar history limit, loops up to 24 iterations for sorting and totals, and arrays sized to 24 elements; labels and table are capped at 500 each for efficiency. Known limits: Skips hours without bars (e.g., weekends), assumes uniform data availability, and may undercount in sparse sessions; timezone shifts can alter profiles without warning.
Sensible Defaults & Quick Tuning
Start with ATR Length at 14, Percentile Window at 252, and threshold at 10.0 for broad crypto use. If too many squeezes flag (noisy table), raise threshold to 15.0 and narrow window to 100 for stricter relative lowness. For sluggish detection in calm markets, drop ATR Length to 10 and threshold to 5.0 to capture subtler dips. In high-vol assets, widen window to 500 and threshold to 20.0 for stability.
What this indicator is—and isn’t
This is a historical frequency tracker and visualization layer for intraday volatility patterns, best as a filter in multi-tool setups. It is not a standalone signal generator, predictive model, or risk manager—pair it with price action, news filters, and position sizing rules.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
Thanks to Duyck
for the ma sorter
OOO Trade (By Bodinphat)Script Description (for TradingView Publish Page)
Description:
This indicator is an advanced trend-following system that combines multi-timeframe signals, order block zones (OB Zones), and precision-based metrics to help traders identify high-probability buy and sell opportunities.
It automatically analyzes EMA trends, RSI pullbacks, ADX strength, and volume confirmation to calculate a dynamic confidence score for both long and short directions.
The system also displays:
📊 Multi-Timeframe Trend Strip (M1 → D1) — showing each timeframe’s directional bias (Buy/Sell/Neutral).
🎯 OB Zones (Order Blocks) — highlights institutional demand (Bullish OB) and supply (Bearish OB) zones on the chart.
📋 Right-Side Info Panel — displays key metrics such as score, accuracy, SL/TP targets, and bias direction in real-time.
⚡ Session Filters — optional London/NY session filters for more accurate signal alignment.
This tool is ideal for traders who want to follow structured price action while maintaining a clear view of market strength and institutional zones.
It works best with XAUUSD, GBPUSD, and major indices on intraday or swing timeframes.
Disclaimer:
This indicator is for educational and informational purposes only.
It does not constitute financial advice. Please test thoroughly before using in live trading.
Hikaru BandsHikaru Bands is a volatility indicator designed to provide a view of market dynamics. Unlike traditional banding tools like Bollinger Bands, which rely solely on standard deviation, Hikaru Bands incorporate a Composite Volatility Index (UVI). This index is built from a customizable blend of up to ten different technical indicators, including momentum, trend, and risk metrics.
Core Concept & Calculation
The script first calculates the values of up to ten different technical indicators, which you can enable or disable individually. These include RSI, CCI, Sharpe Ratio, Omega Ratio, Z-Score, Rate of Change (ROC), and more. Each selected indicator's output is then normalized into a percentile rank (a scale of 0-100) to ensure they can be compared and combined effectively. Finally, the normalized values are weighted and averaged to create a single Universal Volatility Index (UVI). A high UVI suggests strong bullish momentum and volatility/overbought, while a low UVI suggests strong bearish momentum/oversold.
How to Use & Interpretation
Interpreting the bands is intuitive and provides multiple layers of analysis:
Extreme Bands (Outer Bands): When the price touches or exceeds these bands, it suggests a potential exhaustion point or a climax in the current trend. These are often areas to watch for potential reversals or pullbacks.
Warning Bands: These act as an early signal that momentum is becoming stretched. Price action within this zone indicates a strong trend that may be approaching overbought or oversold territory.
Neutral Bands: The area between these bands and the basis line represents typical price action. When the price remains within this zone, it often signals a consolidating or ranging market.
Features & Customization
This script offers extensive customization to tailor the indicator to your specific needs and analysis style:
Modular Component Selection: Individually enable or disable any of the ten underlying indicators to build your own custom UVI. You can also adjust the weight of each component to give more importance to the indicators you trust most.
Detailed Parameter Control: Fine-tune the settings for each individual indicator, such as the period for RSI, the lookback for the Sharpe Ratio, or the fast/slow lengths for the EMA Spread.
Visuals: Comes with eight built-in color schemes (including Classic, Neon, and Ocean) to match your chart's aesthetic.
Band Smoothing: Apply an optional smoothing filter to the bands and the basis line to reduce noise and focus on the underlying trend.
Disclaimer
This tool is designed for technical analysis and should not be used as a standalone signal for trading. The effectiveness of the bands depends on the selected components and market conditions. Always use this indicator in conjunction with other forms of analysis and a robust risk management strategy.
DEFECT WARRIORPrecise DEFECT candle detection with visual arrows and labels
Zone context: Demand/Supply (DM/SP) + FVG proximity filter
Optional Fib clustering at 0.617 / 0.500 / 0.242 for refined entries
HTF bias (H4/D1/H12) to reduce counter-trend noise
Clear alerts for BUY/SELL, zone touch, and Fib confirmations
Lightweight, readable visuals for fast decision-making
How to use
Choose your signal timeframe (e.g., M30/H1).
Enable HTF bias (e.g., D1 or H4) to keep setups in trend.
Look for DEFECT signals inside/near zones and at Fib levels.
Plan SL beyond the nearest wick/zone; manage TP with your risk model.
Good for swing and intraday traders who want rule-based entries with zone + Fib confluence and minimal chart clutter
HammerThis indicator automatically detects powerful candlestick formations such as Hammer, Inverted Hammer, Bullish Engulfing, Hanging Man, Shooting Star, and Bearish Engulfing.
It visually marks potential reversal zones on the chart and provides instant Long / Short alerts.
By combining pattern recognition with swing levels, it helps you identify possible trend reversals more clearly.
A simple, fast, and price-action-focused tool for smarter trading decisions.
💡 Yellow dotted lines indicate possible reaction zones around swing points.
CCT Average True RangeCCT Ignition Candle Detector
The CCT Ignition Candle Detector indicator was developed to assist traders in identifying “ignition candles” — candles that represent potential high-volatility breakout events accompanied by strong volume and a clear directional move relative to short-term trend averages.
Concept and Functionality
This indicator measures the relationship between the candle’s amplitude (difference between high and low) and the Average True Range (ATR).
The ratio between these two values provides insight into whether the current candle exhibits volatility that is statistically significant compared to its recent history.
Additionally, the indicator evaluates body strength, volume behavior, and proximity to the EMA8 (a short-term dynamic average often used to gauge immediate momentum).
When specific quantitative criteria are met, the indicator identifies the candle as a potential Ignition Candle, meaning it could mark the start of a new impulse move.
Ignition Criteria:
A candle is considered an Ignition Candle when all of the following conditions are satisfied:
Amplitude ≥ 3× ATR
Candle body ≥ 2.5% (difference between open and close relative to open)
Volume ≥ 1.3× SMA14 (volume)
Breakout of the EMA8 in the direction of the move (bullish or bearish)
When these factors align, the indicator marks the corresponding candle with a label and displays an orange highlight in the information panel.
This visual cue helps the trader immediately identify points of high energy or breakout potential in the chart.
Readings and Visual Elements
Yellow line: Candle amplitude (High–Low)
Red line: True Range (ATR)
White line: Moving average of ATR
Info panel: Displays amplitude, ATR value, volume comparison, EMA8 relation, and ignition status.
label on chart: Appears when an ignition candle is detected.
The indicator does not generate trading signals, but provides quantitative context for decision-making.
Practical Usage
Traders may use this indicator to:
Identify potential breakout zones after periods of contraction.
Confirm whether a strong candle represents true momentum or a false breakout.
Combine ignition readings with trend filters (such as higher timeframe EMA or price structure).
Evaluate the strength of reversals or continuation moves.
A common practical approach is to enter in the direction of the ignition candle once it closes,
place a protective stop below or above the candle’s body, and target 1.5–2× the initial risk.
This approach leverages volatility expansion in its early stage.
Recommended Settings:
ATR Length: 14 (default)
EMA Period: 8
Volume MA: 14
Timeframes: Works well in intraday and daily charts.
Notes:
This tool is designed as a volatility and momentum analyzer, not a buy/sell system.
It should be used together with broader market context, price structure, and volume confirmation.
It aims to standardize the interpretation of large candles, allowing the trader to objectively identify when volatility expansion is statistically relevant.
Credits:
Developed by Central CryptoTraders © 2025
Volume Exponential Moving Averages (EMA)
Description:
This script is a simple script that plots a desired exponential moving average of buy and sell volume as a line chart with a tunable smoothing factor. There is a highlight on the plot area of either green or red to denote if the EMA of buy volume or sell volume is of a higher value. This indicator uses basic math of exponential averages and calculates volume using the formulas: "buy volume" = the product of total volume and the "closing price" minus the "low price" divided by "high price" minus the "low price" for a specific candle. Conversely, "sell volume" = the product of "total volume" and the "high price" minus the "close price" divided by "high price" minus the "low price" for a specific candle.
Utility:
This indicator is an effective way to gauge the acceleration/ deceleration of buyers and sellers in the market and can be used in combination with market structure and important levels to understand if buyers or sellers are taking over at any given time.
How to use this indicator:
There are two settings for this indicator:
1. The Length of the EMA: The length of the EMA can be adjusted based on your preference for a running number of candles' data. If you are interested to know short term changes in volume (e.g. over the past few candles at a major level) you can adjust this setting lower (~3-9 length). Conversely, if you are interested in volume trends over a greater number of candles you can increase this to your liking.
Personal preference : Because I am a short term daytrader/ scalper, I keep this setting at 6 length to see immediate changes in the acceleration or deceleration of buyers/ sellers.
2. The Smoothing Factor: The smoothing factor can be adjusted to further tune the size of trend you are interested in with 1 = No smoothing of the EMA line. Smoothing of the EMA line increases as the value for smoothing increases, resulting in a less volatile, more smooth EMA line. However, the more smooth the line, the less sensitive the EMA will be to immediate changes in volume pace. The less smoothing factor is applied, the more volatile data will be, resulting in quicker observation of shorter term trends. Again the same rules apply as the EMA length as these are similar in function: If you are interested to know short term changes in volume (e.g. over the past few candles at a major level) you can adjust this setting lower (~2-6). Conversely, if you are interested in volume trends over a greater number of candles you can increase this to your liking.
Personal preference : Because I am a short term daytrader/ scalper, I keep this setting at 2-4 smoothing factor to see immediate changes in the acceleration or deceleration of buyers/ sellers.
You should, of course, play with these settings to your exact preferences based on your trading style.
Tips for using this indicator:
General Use:
When the buy volume EMA is moving up, buyers are increasing the pace of buying and when the buy volume EMA is moving down, buyers are decreasing the pace of buying. Conversely, when the sell volume EMA is moving up, sellers are increasing the pace of selling and when the sell volume EMA is moving down, sellers are decreasing the pace of selling. The overall movement of the stock is relative to the combination of these rates. e.g. If both buyers and sellers are increasing at the same rate (EMAs slopes are roughly equal) there will be not a large change in price. If the slope of the buy volume EMA is greater than the slope of sell volume EMA, the price should move up. Conversely, if the slope of the sell volume EMA is greater than the slope of buy volume EMA, the price should move down.
Predicting pullbacks, reversals, and continuations:
This indicator allows you to see if buyers or sellers are increasing their pace, even if the stock price is in consolidation. This allows you to predict if out of the consolidation buyers or sellers are likely to win based on the momentum of the volume in consolidation. e.g. If price is in consolidation after an uptrend and the buy volume EMA starts to decrease, this could be a sign that buyers are running out of steam at this price level. Another example, If at a major support the buy volume EMA begins to trend up then buyers are accelerating the pace of buying at this level.
EMA crosses: There is something to be said about the point at which the buy volume EMA and sell volume EMA cross. This signifies that at this moment there is a shift in which the acceleration of one party outpaces that of the other and can result in increased speed of the movement of the stock price.
Considerations
Because volume changes constantly, this indicator is best to identify short term changes in volume that could impact price movements. It is not guaranteed to continue just because buyers or sellers have had a change in pace. Therefore it is advised to use this indicator in combination with significant price levels such as pivot points, or price levels from volume profile tools to identify the price zones where significant volume changes are likely to impact price movements. It is also advised to continue to monitor the changes in pace in buyers and sellers using this volume EMA indicator to determine if a change in pace is short lived or if it will continue for a longer duration.
Examples of use:
Bullish Reversal:
Bearish Continuation:
Bearish EMA Crossover: (Settings: Length 6, Smoothing factor 3)
Bullish EMA Crossover: (Settings: Length 6, Smoothing factor 4)
Alarm Pack (MA14/21 - MACD - CU-RSI - Pivot PP) - SigmorAlgoA clean alarm/confirmation pack by SigmorAlgo.
4 MAs (14/21/50/100) with selectable type (EMA/SMA/SMMA), CU-RSI (22/66) crosses, MACD confirmations, and optional Daily Pivot PP.
Built for clarity: trend filter (MA50/MA100), real-time alerts, and minimal visuals.
Suggested RSI preset: Fast 22, Slow 66 (balanced). For faster signals try 14/42; for slower 28/84.
KCP FRAMA Trend [Dr.K.C.PRAKASH]KCP FRAMA Trend
An adaptive trend indicator based on the Fractal Adaptive Moving Average (FRAMA).
It identifies breakout zones with clear BUY (green) and SELL (red) signals, colors candles by trend direction, and includes real-time alert conditions for precise trade entries and exits.
PDH/PDL + PMH/PML Breakout Table + Alerts + 🔔PDH/PDL now come exclusively from the previous day's RTH (9:30–4:00 PM ET) — they no longer include premarket. This avoids the confusion we encountered.
PMH/PML are calculated only during the premarket period (4:00–9:30 AM ET) of the current day.
Employment emojis: 🟢 (upward breakout for PDH/PMH), 🔴 (downward breakout for PDL/PML), ⚪ (no breakout).
The table displays three columns: Level | Status | Price. If you'd like the table to have a different size/position/color, just adjust it quickly.
The DTC Indicator — The Day Trading Channel EditionThe DTC Indicator is a modern market visualization toolkit built for precision traders who value structure, timing, and clarity.
Developed by The Day Trading Channel (DTC) team, this invite-only indicator translates institutional market concepts into clean, actionable visuals — helping traders analyze price behavior with structure-based insights rather than emotion-driven guesses.
This edition of the DTC Indicator focuses on visual clarity and analytical accuracy, combining session-based setups, dynamic target and invalidation markers , and a real-time dashboard that keeps users informed on every setup formed across the chart.
The DTC Indicator is not a signal service or auto-trading tool. Instead, it’s designed as a technical companion — built for discretionary traders looking to interpret price behavior more efficiently and consistently.
🔷 Core Features
1️⃣ Session-Based Setups
Each market session is automatically detected and mapped with clear start and end points, allowing traders to visualize session structures, identify potential setups, and see key shifts in price momentum in real time.
2️⃣ Setup Visualization (Buy & Sell Structures)
When price action forms a qualified bullish or bearish setup based on DTC’s internal structure logic, a clean arrow appears on the candle, marking the beginning of a new analytical setup — not a trade execution signal.
3️⃣ Target & Invalidation Markers
Dynamic visual markers are placed on the chart representing potential “Target” and “Invalidation” levels. These labels reflect structure-based reference points — not guaranteed outcomes. They are purely visual guides for educational market interpretation.
4️⃣ Real-Time Dashboard
A modern blue-themed floating table appears on the right-hand side of the chart displaying:
Latest session’s detected setup direction
Current session time
Observed success ratio (simulated data only)
Key setup information including entry reference, target, and invalidation zones
5️⃣ Multi-Market Compatibility
Works seamlessly across Forex, Indices, Commodities, and Crypto markets — especially optimized for M5 to H1 timeframes.
6️⃣ Smart Alerts
Integrated with alert() functionality for users who wish to receive notifications when new setups are formed. Each alert displays price level, target, and invalidation references in an educational format — suitable for discretionary follow-up analysis.
🔹 Usage Guidance
The DTC Indicator is best utilized as a contextual analysis tool , not an entry/exit engine.
Traders can use the displayed setups and markers to understand how price structures form and how institutional-style shifts occur during different market sessions.
For optimal results:
Focus on 1–2 sessions per day.
Observe how setups evolve relative to session highs/lows.
Combine with other analytical tools or frameworks (liquidity, FVGs, imbalance zones, etc.) to create a complete decision-making process.
🔷 Customization & UI
The interface follows a Modern Blue visual theme for a clean, minimal, and professional look.
Users can customize:
Session time ranges
Table position and visibility
Alert preferences
Text size and alignment
All elements are optimized for clarity and lightweight performance on live charts.
🧩 Technical Notes
Designed purely as a visual analytical indicator , not as an automated strategy.
No strategy.* functions are used.
Signals are generated only on confirmed bar closes to ensure stable, repaint-free visualization.
Alerts include confirmed setups only.
Simulated rate display reflects calculated structure outcomes — not actual trade performance.
⚠️ Risk Disclaimer
Trading financial markets involves significant risk and is not suitable for all investors.
The DTC Indicator is provided for educational and informational purposes only .
It does not provide financial advice, trading signals, or any guarantee of future performance.
Users should perform their own independent analysis before making trading decisions.
Rupeebees OHLC Levels This indicator helps you to understand how the option premium moves the market under some calculated levels
Dual RSI TL (AI Trend Mapper) - SigmorAlgoDual RSI TL (AI Trend Mapper) — an intelligent momentum and trendline mapping system built to give traders clarity, structure, and precision.
It merges a dual-layer RSI framework (fast & slow) with automatic RSI trendlines to identify strength, exhaustion, and reversals in real time.
⚙️ Main Features:
• Dual RSI system (fast & slow) with fully adjustable lengths
• Automatic RSI trendline mapping (AI-driven slope detection)
• Real-time crossover and confirmation alerts
• Clean visual markers for entry & exit points
• Compatible with EMA, SMA, and Pivot-based systems
💡 Recommended Settings:
• Default: Fast = 25, Slow = 75 (1:3 ratio) — ideal balance for 15m–1D traders
• Faster reaction: 12/36 or 14/42
• Slower/long-term: 28/84 or 30/90
Whether you trade scalps, intraday setups, or daily swings, Dual RSI TL adapts dynamically to price behavior — giving you a visual edge without noise.
Created by SigmorAlgo — for traders who value clarity over clutter.
kNN Trend Classifier (RSI, CCI, W%R, ADX, EMA)This Pine Script indicator, "kNN Trend Classifier," is a specialized tool for identifying market trends using a combination of classic technical indicators and a simple machine learning approach. The script is designed for traders who want to blend quantitative analysis with visual chart signals to improve decision-making.
At its core, the indicator utilizes six key features: RSI (14), RSI (9), CCI, Williams %R, ADX, and 9-period EMA. Each of these measures different dimensions of momentum, trend strength, and market positioning. These values are normalized to ensure they are fairly compared across different market conditions. For every bar close, the script stores a historical snapshot of these features and uses a k-Nearest Neighbor (kNN) technique to classify the current trend as bullish or bearish. The kNN algorithm works by calculating the Euclidean distance between the present market state and all stored historical states, then referencing the majority label among the closest neighbors to decide on the market regime.
The script also provides powerful customization. Users can adjust the number of neighbors (k) to make signals more reactive or more stable; increase the training window for a deeper historical perspective; and fine-tune the lookback window for feature normalization. Two optional filters—based on volume percentile and ATR volatility—help to screen out signals in low-liquidity or low-volatility periods, reducing false positives and improving reliability.
To modify the behavior, traders should experiment with the inputs: lower k for faster signal changes, raise k or the training window for smoother signals, and adjust normalization length for different levels of trend sensitivity. Activating the volume and volatility filters is highly recommended during choppy markets. Altogether, this script gives users a robust framework to catch bullish or bearish trends with a blend of proven technical analysis and adaptive pattern recognition.
Doble Keltner ChannelTwo Keltner channels with different configurations. This will allow you to visualize volatility confluences and potential reversal zones.
Configuration
Ema period 1 = 50
Ema period 2 = 50
Multiplier 1 = 2.75
Multiplier 2 = 3.75