Recent Range DetectorOverview
The Recent Range Detector is a specialized indicator designed to identify when an asset is currently range-bound, providing traders with clear support and resistance levels for range trading strategies. Unlike traditional indicators that focus on trend detection, this tool specifically answers the question: "Is the price range-bound right now, and what are the exact trading levels?"
Key Features
✅ Smart Range Detection - Uses a multi-factor scoring system to identify legitimate ranges
✅ Dynamic Support/Resistance Levels - Automatically calculates and displays key trading levels
✅ Range Quality Scoring - Provides confidence levels (Strong/Moderate/Weak Range)
✅ Touch Validation - Counts actual price touches to confirm range reliability
✅ Breakout Detection - Alerts when price exits the established range
✅ Visual Clarity - Clean boxes, lines, and labels for easy interpretation
How It Works
The indicator analyses recent price action using three core metrics:
Touch Quality (40%) - How many times price has respected support/resistance levels
Containment Quality (40%) - What percentage of recent bars stayed within the range
Recent Respect (20%) - Whether the latest price action confirms the range
These combine into a Range Score (0-1) that determines range strength and reliability.
Settings & Parameters
Range Lookback Period (Default: 15)
Number of bars to analyse for range detection
Shorter periods = more responsive to recent ranges
Longer periods = more stable, fewer false signals
Range Tolerance (Default: 2.0%)
Tolerance for price touches around exact highs/lows
Lower values = stricter range requirements
Higher values = more flexible range detection
Minimum Touches (Default: 3)
Required number of support/resistance touches for valid range
Higher values = more confirmed ranges, fewer signals
Lower values = more sensitive, earlier detection
Visual Options
Show Range Box: Displays the range boundaries
Show Support/Resistance Lines: Extends levels into the future
Understanding the Output
Range Score (0.000 - 1.000)
0.7+ = Strong Range (Green) - High confidence range trading setup
0.5-0.7 = Moderate Range (Yellow) - Decent range with some caution
0.3-0.5 = Weak Range (Orange) - Low confidence, be careful
<0.3 = Not Ranging - Avoid range trading strategies
Range Status Classifications
Strong Range - Perfect for range trading strategies
Moderate Range - Good range with normal risk
Weak Range - Marginal range, use smaller positions
Not Ranging - Price is trending or too choppy for range trading
Key Metrics in Info Table
Range Size (%) - Size of the range relative to price level
5-15% = Ideal range size for most strategies
<5% = Tight range, lower profit potential
>15% = Wide range, higher profit potential but more risk
Support/Resistance Levels - Exact price levels for entries/exits
Use these as your key trading levels
Support = potential buy zone
Resistance = potential sell zone
Total Touches - Number of times price respected the levels
3-5 touches = Newly formed range
6-10 touches = Well-established range
10+ touches = Very strong, reliable range
Price Position (%) - Current location within the range
0-20% = Near support (potential long opportunity)
80-100% = Near resistance (potential short opportunity)
40-60% = Middle of range (wait for better entry)
Visual Elements
Range Box
Green Box = Strong Range (Score ≥ 0.7)
Yellow Box = Moderate Range (Score 0.5-0.7)
Orange Box = Weak Range (Score 0.3-0.5)
Support/Resistance Lines
- Horizontal lines showing exact trading levels
- Extend into the future for forward guidance
- Colour matches the range strength
Background Colouring
- Subtle background tint during range periods
- Helps quickly identify ranging vs trending markets
Breakout Signals
- 📈 RANGE BREAK UP - Price breaks above resistance
- 📉 RANGE BREAK DOWN - Price breaks below support
- Only appears for confirmed ranges (Score ≥ 0.5)
Trading Applications
Range Trading Strategy
1. Look for Range Score ≥ 0.5
2. Buy near support (Price Position 0-20%)
3. Sell near resistance (Price Position 80-100%)
4. Set stops just outside the range
5. Exit on breakout signals
Breakout Strategy
1. Identify strong ranges (Score ≥ 0.7)
2. Wait for volume-confirmed breakout
3. Enter in breakout direction
4. Use previous resistance as support (or vice versa)
Market Context
- Strong ranges often occur after trending moves
- Use higher timeframes to confirm overall market structure
- Combine with volume analysis for better entries/exits
Best Practices
What to Look For
✅ Range Score ≥ 0.5 for trading consideration
✅ Multiple touches (5+) for confirmation
✅ Clear price rejection at levels
✅ Reasonable range size (5-15% for most assets)
✅ Recent price respect of boundaries
What to Avoid
❌ Trading ranges with Score < 0.3
❌ Very tight ranges (<3% size) - low profit potential
❌ Ranges with only 1-2 touches - not confirmed
❌ Ignoring breakout signals
❌ Trading against the higher timeframe trend
Alerts Available
- Range Detected - New range formation
- Range Break Up - Upward breakout
- Range Break Down - Downward breakout
- Range Ended - Range condition ended
Timeframe Recommendations
- Daily Charts - Best for swing trading ranges
- 4H Charts - Good for intermediate-term ranges
- 1H Charts - Suitable for day trading ranges
- Lower Timeframes - May produce more noise
Conclusion
The Recent Range Detector eliminates guesswork in range identification by providing objective, quantified range analysis. It's particularly valuable for traders who prefer range-bound strategies or need to identify when trending strategies should be avoided.
Remember: No indicator is perfect. Always combine with proper risk management, volume analysis, and broader market context for best results.
Disclaimer
This indicator is for educational purposes only and should not be considered as financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own research and consider your risk tolerance before making any trading decisions.
Corak carta
Trend Reversal Signals · Up/Down (with filters).v1.1In an uptrend, only "Up" signals will be triggered, and in a downtrend, only "Down" signals will be triggered as a "gate." The trend is determined by EMA (default 50/200), and any signals against the trend will be blocked. (The useEMAflt setting is forcibly applied regardless of the user's choice.)
Set needCount to 3 to make entry signals stricter.
When useEmaGap is enabled, setting emaGapPct to 0.3–0.5 will reduce signals in the range where the EMAs are close to each other.
Smart Money Breakout ChannelsSmart Money Breakout Channels** is a TradingView indicator designed to identify key price zones where "smart money" (institutional traders) may be active, helping traders anticipate breakouts. Below is a detailed explanation based on available information:
Overview
Purpose: The indicator detects breakout zones called "Smart Money Breakout Channels" based on volatility-normalized price movements. It visualizes these as dynamic boxes with volume overlays to highlight potential accumulation or distribution ranges.
Functionality: It tracks price breakouts (upward or downward) from these zones, providing traders with actionable signals for trend continuations or reversals.
Key Concepts
Volatility-Normalized Channels: The script calculates normalized price volatility using the standard deviation of price, mapped to a scale based on the highest and lowest prices over a lookback period. When volatility reaches a local low and flips upward, a channel (box) is drawn between the high and low prices of that zone.
Breakout Detection**: A breakout occurs when the price moves beyond the channel’s boundaries, either with a strong candle close (configurable) or by touching the boundary.
Volume Analysis: The indicator includes volume overlays within the channel, showing:
Volume Delta: Difference between buying and selling volume.
Up/Down Volume: Comparative buying vs. selling pressure.
Gradient Gauge: A visual gauge displays real-time volume delta pressure, indicating whether buying or selling momentum is building.
Smart Money Concept: Channels represent ranges where institutional traders may be accumulating or distributing positions, making breakouts from these zones significant for trend analysis
Features
Automatic Channel Detection: Identifies and draws breakout zones based on volatility pivots.
Nested Channels: Option to display multiple simultaneous zones or a single clean zone.
Volume Visualization: Offers three modes: raw volume, up/down volume, and delta.
Dynamic Gauge: A gradient-filled gauge shows current volume delta pressure within the channel.
Alerts: Configurable alerts for new channel creation, bullish breakouts, or bearish breakouts.
Detailed Explanation of Smart Money Breakout Channels
Smart Money Breakout Channels is a TradingView indicator designed to identify potential breakout zones in price action, leveraging volatility-normalized metrics and volume analysis to highlight areas where institutional or "smart money" activity may be occurring. Below is a comprehensive guide on how to use it effectively, including settings for different trading styles, common pitfalls, and illustrative examples.
دمج عدة اطر زمنيهمؤشر فني مخصص يعتمد على دمج إشارات متعددة الفريمات مع فلترة متقدمة للاتجاه والسيولة، ويعرض تنبيهات دخول وخروج محسوبة بعناية.
أظهرت التجارب أن الإشارات تكون أكثر دقة عند توافق قراءة فريم 30 دقيقة مع فريم الساعة، مما يعزز فرص اتخاذ قرارات تداول ناجحة
A custom technical indicator that combines multi–timeframe signals with advanced trend and liquidity filtering to generate precise entry and exit alerts.
Backtesting and observation show that signals are significantly more accurate when the 30-minute and 1-hour timeframes align, enhancing the probability of successful trades.
US FED inflation lens - CPI vs Core CPI YoY (FRED)Description:
This chart overlays Headline CPI YoY and Core CPI YoY (both from FRED) on a single pane, showing the U.S. inflation trajectory in monthly % change. The script smooths the lines (optional) for trend clarity, adds 2% and 3% policy reference levels, and optionally shades the area between headline and core readings to highlight inflation mix shifts. It’s designed to be a macro trigger lens — giving traders an instant read on whether inflation is trending toward or away from central bank comfort zones.
Visual Cues & Why They Matter
1)
CPI & Core CPI Above 3%
Why: Historically a pressure point for tighter Fed policy and higher rates — risk-off for bonds and possibly equities.
Cue: Both lines above the orange dashed 3% line.
2)
CPI & Core CPI Falling Toward 2%
Why: Sign of inflation normalization; often coincides with dovish policy pivots, risk-on for equities.
Cue: Both lines approaching the teal dotted 2% line from above.
3)
Headline Above Core (Blue > Red)
Why: Indicates energy/food price shocks are driving inflation — these are volatile and can reverse quickly.
Cue: Blue area shading above red.
4)
Core Above Headline (Red > Blue)
Why: Suggests inflation is broad-based and sticky — harder for Fed to cut rates.
Cue: Red shading above blue.
5)
Crossovers Between Headline & Core
Why: Often marks shifts in the inflation narrative (e.g., energy-driven to broad-based, or vice versa).
Cue: Shading flips color.
6)
Slope / Momentum Changes
Why: Acceleration upward = inflation heating; acceleration downward = disinflation trend gaining strength.
Cue: Smoothed lines bending sharply up or down.
Mark 4H Candle SpanThis TradingView indicator, called "Mark 4H Candle Span", serves to **visually highlight alternating 4-hour time blocks** directly on the price chart.It does this by coloring the background of the chart for one 4-hour period and leaving the next 4-hour period uncolored, creating a pattern of vertical stripes.---### How It WorksThe code operates in two main steps:1. **Calculation of the 4-Hour Block**:The line `session_id = math.floor(time("1") / (1000 * 60 * 60 * 4))` calculates a unique identification (ID) number for each 4-hour block.* `time("1")`: Gets the current time (in milliseconds).* `(1000 * 60 * 60 * 4)`: Is the total number of milliseconds in 4 hours.* By dividing the time by the 4-hour interval and rounding down with `math.floor`, the script assigns the same `session_id` to all the candles within the same 4-hour block.2. **Background Coloring**:The line `bgcolor(session_id % 2 == 0 ? color.new(color.blue, 85) : na)` decides whether to color the background.
Hemant Ka IkkaThis Indicator contains all the strategies of Hemant Jain Swing Trading.
Founder of Revaledge Securities
MA Slope Turn + OL/OH + 1m Spike (NR) — liveThis indicator identifies trend reversals using moving average slope turns, with additional filters for price action (Open≈Low/Open≈High) and volume spikes. Here's how it works:
Core Logic
Moving Average Calculation:
Calculates selected MA type (SMA, WMA, RMA, HMA, Triangular)
Plots MA line colored by slope direction (green=up, red=down)
Slope Detection:
slope = current MA - previous MA
Valid turn requires:
Minimum slope magnitude (minSlope)
Slope direction change (positive→negative or negative→positive)
Additional Filters:
Open≈Low (BUY): (Open - Low) ≤ Tolerance% of Open
Open≈High (SELL): (High - Open) ≤ Tolerance% of Open
1m Volume Spike: Volume ≥ (SMA(volume) × Multiplier) in last N minutes
Candle OpenDescription:
The Candle Open indicator automatically plots horizontal lines at the opening price of user-defined times throughout the trading day.
Supports up to 7 customizable times, each with independent color, line style, and visibility controls.
Flexible time input (e.g., 09:15, 915, noon, midnight).
Lines extend from the selected time to the current candle, with optional labels.
Option to remove lines from previous days for a clean chart.
Global controls for line width and label size.
Works across different time zones.
Disclaimer:
This indicator is for educational and informational purposes only. It does not provide financial advice or trading signals. The author is not responsible for any trades, losses, or decisions made based on the use of this tool. Always do your own research and trade at your own risk.
BTC Parabolic Trend Lines v6 (jerikoo)📈 BTC Parabolic Trend Lines v6 - Power Law Regression Indicator
Description:
Advanced regression analysis tool that fits parabolic curves to Bitcoin's price history, revealing long-term growth patterns and future projections based on mathematical power laws.
This indicator implements three types of regression models optimized for Bitcoin's unique price behavior:
🎯 Key Features:
1. Power Law Regression (Recommended for BTC)
Fits the famous Bitcoin Power Law: Price = Offset + A × time^B
Captures BTC's diminishing growth rate over time
Provides the most accurate long-term fit with R² typically > 0.94
2. Multiple Regression Types
Power Law: Best for long-term BTC analysis
Exponential: For shorter timeframes and aggressive growth phases
Polynomial: Quadratic/cubic curves for alternative modeling
3. Dynamic Channel Bands
Upper band (red): Overvalued zone - potential resistance
Lower band (green): Undervalued zone - potential support
Adjustable deviation multipliers based on historical volatility
4. Starting Price Offset
Accounts for Bitcoin's non-zero starting price (~$5-10)
Provides more realistic lower bounds
Improves fit accuracy for early price data
📊 How to Use:
Settings:
Regression Length: 400 bars recommended for best fit
Starting Price Offset: 5-10 for BTC (it didn't start at $0)
Channel Deviation: 1.5 standard deviations default
Future Projection: Extends regression into future (100 bars default)
Interpretation:
Yellow line: Fair value according to the regression model
Above red band: Potentially overvalued (historical tops often here)
Below green band: Potentially undervalued (historical bottoms often here)
R² Value: Closer to 1 = better fit (>0.9 is excellent)
🔄 Timeframe Adaptability:
Automatically recalculates when switching timeframes
Each timeframe shows its own optimized regression
Works on all timeframes from daily to monthly
📈 Trading Applications:
Long-term Investment: Identify accumulation zones when price is below fair value
Cycle Analysis: Spot potential tops when price exceeds upper band
Risk Management: Use bands as dynamic support/resistance levels
Portfolio Allocation: Increase/decrease position based on valuation zones
⚙️ Technical Details:
Uses logarithmic price transformation for better BTC fitting
Implements least squares regression for coefficient calculation
RMSE-based channel bands adapt to volatility
Smooth polyline rendering for visual clarity
📝 Notes:
Best suited for BTC due to its unique power law characteristics
Longer regression periods (300-500 bars) provide more stable trends
The projection assumes historical patterns continue (not financial advice)
Works best on logarithmic price scale for visualization
🎨 Visual Indicators:
Background coloring: Red (overvalued) / Green (undervalued)
Statistics label: Shows R², equation, and current valuation
Smooth curves: No gaps or jumps at current date
Future projection: Seamlessly extends from current price
⚠️ Important:
This is a statistical analysis tool, not a prediction system. Bitcoin's price can deviate significantly from the regression line during bull/bear cycles. The power law provides a long-term growth framework, not short-term trading signals.
Version: 6.0 Author: Created with Pine Script v6 Best For: BTC long-term analysis, cycle identification, valuation assessment Timeframes: All (Daily to Monthly recommended) Markets: Optimized for Bitcoin, may work on other crypto with adjustments
Pivot Points HL DetailedThis indicator marks important turning points in the market, showing you the most recent swing high and swing low as horizontal lines across the chart. Each pivot line has a price label where it formed and a small counter that updates whenever the market touches that level again. The line’s color reflects the prevailing trend, determined by an EMA filter, so you can quickly see if the level is likely acting as support or resistance in the current market environment.
It works by scanning recent bars for points where price made a local high higher than several bars to its left and right, or a local low lower than several bars to its left and right. These pivots are calculated directly from price action using the ta.pivothigh and ta.pivotlow functions. Once identified, the level is tracked in real time, counting every time price crosses it. The EMA provides context: if price is above the EMA, the market is considered in an uptrend and the pivots are colored to match; if price is below, they’re marked as part of a downtrend.
For traders, this offers a clean way to see where the market has turned before and whether those levels are still relevant. Strong levels often show multiple touches, which can be used for entries, exits, or risk management. The built-in alert system can notify you when price approaches either the most recent swing high or swing low, so you can react quickly.
This tool can be applied in almost any market — forex, stocks, indices, commodities, or crypto — because price tends to respect recent swing points regardless of the asset class. It tends to be most effective in liquid markets, where many traders see and react to the same key levels, and it’s valuable in both trending and ranging conditions, though the EMA trend filter adds extra clarity when the market is moving directionally.
BTC Multi-Session Open Breakout with Dynamic Sensitivitybtc tool using algo detection and a dynamic sensitivity tool to avoid breakouts and see-saw action. First draft.
Triangle Pattern DetectorTriangle Pattern Detector
Core Logic Breakdown
Ascending Triangle: Horizontal resistance (top) and rising support (bottom). Overlay appears in blue.
Descending Triangle: Horizontal support (bottom) and falling resistance (top). Overlay appears in red.
Overlays: Draw triangle shapes on the price chart, matching common trading definitions (one horizontal leg).
Unmitigated Imbalances [TakingProphets] (High Timeframe)Unmitigated Imbalances
Unmitigated Imbalance is designed to automatically detect and display active Fair Value Gaps (FVGs) across multiple higher timeframes and your current chart. It only keeps the ones that remain unmitigated, helping you clearly see where price has “unfinished business” and potential liquidity draw areas. The tool extends these levels forward until they are tagged according to your chosen mitigation criteria, then removes them automatically.
The indicator uses the classic 3-bar FVG structure:
– Bearish FVG forms when the low of the third candle back is above the high of the first candle.
– Bullish FVG forms when the high of the third candle back is below the low of the first candle.
– Each detected gap must meet a minimum size threshold, which is determined automatically from the Sensitivity setting and adjusted for the symbol type.
Higher timeframes (up to 4) can be plotted simultaneously with your current chart’s gaps. The script merges overlapping levels from different timeframes into one clean label, showing all the contributing timeframes together (for example: M15 + H1 + H4). This makes it easy to spot high-confluence levels without cluttering your chart.
Key features
– Multi-timeframe detection: up to 4 custom HTFs plus your current chart.
– Automatic gap size filtering based on chosen Sensitivity (High, Medium, Low).
– Choice of Wick or Close-based mitigation logic.
– Lookback control: 1 Day, 1 Week, 1 Month, or Max.
– Combined labels for overlapping gaps with clear timeframe tags.
– Separate color and style settings for each timeframe’s bullish and bearish gaps.
– Labels can be positioned Left, Right, or Center Above for maximum clarity.
– Automatic line extension until mitigation or until they exceed the lookback period.
How to use
Select your desired higher timeframes in the HTF1–HTF4 settings.
Choose the Sensitivity level to control the minimum gap size detected.
Decide on Wick or Close mitigation according to your trading rules.
Use the Lookback setting to limit how far back the script checks for gaps.
Watch for levels where multiple timeframe labels are stacked — these can carry greater significance.
Incorporate the levels into your existing strategy, using them as context rather than entry signals.
Practical notes
– Current timeframe gaps reset each trading day to keep the chart relevant to intraday bias.
– Higher timeframe gaps remain until mitigated or until the lookback period expires.
– Large lookback periods with multiple HTFs can increase chart load — adjust settings as needed.
– This indicator is a mapping and context tool, not a signal generator. Always apply it alongside your own analysis.
Multiple EMAs with RSI and ATR Stop-LossMultiple EMA Buy and Sell with pre condition of Overbought Oversold RSI pre requirement. Purple line is Stop Loss Level.
NY Open Momentum Sniper MTF v6Finding the best optimal entry to the trade in NY. This will help you find some key zones during the NY killzone and help you pick out the best spots to enter the trade.
Chiefs sessions 4This is just an indicator marking the most recent asian session and london session highs and lows, and also marks off previous days high and lows in white. Blue is asian session and red is london. This indicator resets every day.
Indicator collection by 200K🇲🇳 Монгол хэл
"Indicator Collection by 200K" нь олон төрлийн хэрэгтэй индикаторуудыг нэг дор цуглуулсан багц юм. Жишээ нь, 5 EMA нь богино хугацааны чиг хандлага, эргэх боломжит цэгүүд болон дэмжлэг, эсэргүүцлийн түвшинг илрүүлэхэд тусална. Мөн session marker, өндөр цагийн хүрээний high/low шугамууд гэх мэт хэрэгслүүдийг ашиглан зах зээлийг илүү тодорхой харах боломжтой. Энэхүү индикатор нь шинэхэн болон туршлагатай трейдерүүдэд хоёуланд нь тохиромжтой бөгөөд өдөр тутмын арилжаанд хэрэглэхэд энгийн, ойлгомжтой.
🇬🇧 English
The Indicator Collection by 200K combines several useful indicators in one package. For example, 5 EMA helps identify short-term trends, potential reversal points, and support/resistance levels. It also includes tools like session markers and higher timeframe high/low lines to give you a clearer view of the market. This indicator is designed to be simple and easy to use for both beginners and experienced traders in their daily trading.
