RMSE Bollinger Bands + Loop | Lyro RSRMSE Bollinger Bands + Loops
Overview
The RMSE Bollinger Bands + Loops is a sophisticated technical analysis tool designed to identify and quantify market trends by combining dynamic moving averages with statistical measures. This indicator employs a multi-model approach, integrating Bollinger-style RMSE bands, momentum scoring, and a hybrid signal system to provide traders with adaptive insights across varying market conditions.
Indicator Modes
Bollinger-style RMSE Bands: this mode calculates dynamic volatility bands around the price using the following formula:
Upper Band = Dynamic Moving Average + (RMSE × Multiplier)
Lower Band = Dynamic Moving Average - (RMSE × Multiplier)
These bands adjust to market volatility, helping identify potential breakout or breakdown points.
For-Loop Momentum Scoring, momentum is assessed by analyzing recent price behavior through a looping mechanism. A rising momentum score indicates increasing bullish strength, while a declining score suggests growing bearish momentum.
Hybrid Combined Signal: this mode assigns a directional score to the other two modes:
+1 for bullish (green)
–1 for bearish (red)
An average of these scores is computed to generate a combined signal, offering a consolidated market trend indication.
Practical Application
Signal Interpretation: A buy signal is generated when both the RMSE Bands and For-Loop Momentum Scoring align bullishly. Conversely, a sell signal is indicated when both are bearish.
Trend Confirmation: The Hybrid Combined Signal provides a consolidated view, assisting traders in confirming the prevailing market trend.
Note: Always consider additional technical analysis tools and risk management strategies when making trading decisions.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Trend
Pi Cycle Top (Overlay)EN – A minimal Pi-Cycle Top overlay. When the 111-day SMA crosses above the 350-day SMA × 2 it flashes a red warning. All four historical signals caught the cycle top within ±3 days. Includes on-chart lines, triangle markers, optional background highlight, alertcondition, and fully adjustable lengths. Your built-in market airbag for BTC. 🚀
中文 – 超简洁的 Pi Cycle 顶部指标：111 日均线上穿 350 日均线×2 即触发红色警报，历史 4 次均在牛市顶前后 3 天内命中。脚本叠加于主图，提供均线、三角标记、可选背景高亮与预警条件，参数可自定义。把这只“安全气囊”装进每一张 BTC 图表。
14-Factor Bullish–Bearish Sentiment MeterTrend Meter
📊 14-Factor Bullish–Bearish Sentiment Meter
This advanced sentiment meter evaluates market direction strength every minute using 14 key confluence factors from price, volume, open interest, volatility, and macro inputs. It computes a score between 0 and 100 and visually classifies the market as:
🚀 Bullish (Score ≥ 71)
⚖️ Sideways/Neutral (Score between 31–70)
🔻 Bearish (Score ≤ 30)
✅ Key Factors Used:
Price Action Structure
Volume Strength
Open Interest with Price/Volume Action
Moving Averages (EMA 20/50 crossover)
RSI Momentum
VWAP Confluence
Gann Range Projection
Market Breadth (default placeholder)
Supertrend
DMI (Directional Movement Index)
Bollinger Band Volatility Width
India VIX Volatility Score
GIFT Nifty Change Detection
Previous Day Range Breakout Check
📈 Visual Features:
Chop Zone Line & Columns: Displays bullish, bearish, or neutral zones like broker platforms.
Score Smoothing: Smooths total sentiment score using a 5-period moving average.
Top-Right Status Table: Shows real-time classification, score, zone, and date.
Dynamic Label on Chart: Highlights current sentiment with color-coded tags.
Traders AID / Adaptive Smoothing ChannelTradersAID – Adaptive Smoothing Channel (use on the 1-week chart)
What It Does
TradersAID – Adaptive Smoothing Channel is a dual-line trend tool that forms a dynamic price corridor to help traders interpret trend direction, strength, and potential compression or expansion zones — all in real time.
Rather than using fixed-length averages, this tool adapts to market conditions using a smoothing method inspired by Kalman filter logic, a technique often applied in robotics and autonomous navigation systems where signals must be tracked accurately under uncertainty.
How It Works
The channel is built from two adaptive smoothing lines:
• A faster-reacting line that tracks short-term shifts
• A slower-reacting line that captures broader structure
Together, they form a real-time envelope that responds to volatility and trend shifts with minimal lag.
• The slope of the channel shows trend direction
• The distance between the lines reflects market compression or expansion
• The fill between the lines visually highlights directional bias and rhythm
While the exact smoothing algorithm is proprietary, the core method draws on real-time signal estimation and dynamic filtering, similar to approaches used in control systems and predictive modeling.
Key Features
• Dual Adaptive Lines: One fast, one slow — forming a responsive price channel
• Dynamic Fill Zone: Shaded area highlights trend health and volatility phases
• Three Modes:
– Slow for high-confidence structure
– Regular for balanced monitoring
– Fast for short-term sensitivity
• Overlay Format: Plots directly on price for clean integration
• Minimalist Design: Clear visuals without unnecessary clutter
Use Cases
• Trend Strength Assessment: Analyze slope and spread to judge momentum
• Volatility Tracking: Narrowing range may suggest consolidation; expansion may hint at breakout conditions
• Trend Continuation Signals: Persistent trading above or below the envelope can indicate trend persistence
• Context Layer: Pair with entry systems to reduce false signals and clarify structure zones
Settings
• Timeframe Constraint: Optimized for the 1-week chart
• Closed Source: While the code is protected, its behavior and design principles are explained here transparently — combining adaptive smoothing, volatility mapping, and Kalman-inspired signal tracking
Disclaimer
This tool is for educational and informational purposes only. It does not provide financial advice or trading signals. Always use with your own analysis and supporting tools.
Traders AID / Adaptive Smoothing Line (use on the 1-week TF)Traders AID – Adaptive Smoothing Line (use on the 1-week chart)
What It Does
Traders AID – Adaptive Smoothing Line is a dynamic trend-tracking tool that adjusts its behavior based on current market conditions.
Unlike standard moving averages, which rely on historical price averaging, this line estimates price direction in real time — making it more responsive while filtering out unnecessary noise.
How It Works
The smoothing logic is inspired by Kalman filter techniques, commonly used in fields like robotics and autonomous driving, where real-time signal tracking with minimal delay is critical.
Instead of calculating a historical average, this line continuously estimates price direction — reacting more naturally to changing conditions.
• The angle of the line reflects the strength and direction of the trend
• It becomes smoother in sideways markets, and sharper during strong moves
• This makes it easier to interpret market structure with fewer false shifts
Key Features:
• Adaptive Volatility Response – Changes sensitivity in real time
• Mode Selection:
– Slow = for structural confirmation
– Regular = balanced for general use
– Fast = for short-term observation
• Overlay Format: Draws directly on the chart for easy reference
• Minimal Lag: Filters noise without delaying trend response
Although the full implementation is closed-source, its logic is based on real-time signal filtering methods that prioritize smoothness without losing accuracy.
Use Cases
• Trend Structure Anchor – Use as dynamic support/resistance
• Momentum Confirmation – Helps confirm trend changes visually
• Sideways Market Filter – Reduces noise when direction is unclear
• Decision Framework – Works well as a foundation layer for broader analysis
Key Settings
• Timeframe Limitation: Optimized for the 1-week chart.
• Closed Source: Code is protected, but its approach is transparently explained as a Kalman-inspired estimator that adapts to volatility and price flow
Disclaimer
This tool is for educational and informational purposes only. It does not provide financial advice, predict outcomes, or offer trade signals. Always use in combination with your own tools and analysis.
MTF 5 Big Candles [RanaAlgo]Overview
This Pine Script indicator displays multiple timeframe (MTF) candlesticks from 5 different timeframes on your current chart. It helps traders quickly assess higher timeframe price action without switching charts.
Key Features
5 Customizable Timeframes
Displays candles from user-selected timeframes (e.g., 15m, 30m, 1H, 4H, Daily).
Each candle is offset to avoid clutter.
Visual Customization
Adjustable spacing, width, and colors for bullish/bearish candles.
Option to show/hide wicks, OHLC labels, and price guide lines.
Clear Price Reference
Dotted guide lines extend from the current price to the MTF candles for easy comparison.
OHLC labels (optional) show exact price levels.
and u can also check the remainig time of candles ..
Usefulness
✅ Multi-Timeframe Analysis – Compare trends across different timeframes at a glance.
✅ Avoid Chart Switching – See higher timeframe structure while trading lower TFs.
✅ Identify Key Levels – Spot support/resistance from higher timeframe candles.
✅ Customizable Layout – Adjust spacing and styling to fit your trading style.
Best For
Swing & position traders analyzing multiple timeframes.
Day traders looking for confluence from higher TFs.
Traders who prefer visual candlestick patterns over plain lines.
This script is particularly useful for confirming trends, spotting reversals, and aligning entries with higher timeframe structure.
Traders AID / MTF Trend Stability (use on the 1-week timeframe)Traders AID – MTF Trend Stability (Built for use on the 1-week chart)
What It Does
TradersAID – MTF Trend Stability is a visual tool that helps traders gauge trend strength and confidence by combining momentum from multiple timeframes with price structure. It highlights moments when direction and structure agree, so you can spot when a trend looks stronger — or when the market might be unstable.
How It Works
The indicator shows three simple components:
1. Three Momentum Dots
Each dot reflects momentum from a different timeframe:
• Dot 1: Current chart (1W)
• Dot 2: 1-month (calculated internally)
• Dot 3: 3-month (calculated internally)
These dots use a smoothed RSI-based oscillator (not standard RSI) to reduce noise.
• Green dot = positive momentum
• Red dot = negative momentum
2. Directional Filter Line
A trend-smoothing line based on logic similar to a Kalman filter, which adapts to volatility.
• If price is above the line → trend is structurally bullish
• If price is below → trend is structurally bearish
3. Summary Signal Bar
This bar gives a quick summary:
• Green = at least 2 green dots and price above the filter
• Red = at least 2 red dots and price below the filter
• Gray = mixed signals → possible indecision
Use Cases
• Confirm Weekly Trends – Check if momentum and structure point in the same direction
• Filter Noise – Smooths out short-term spikes using bigger-picture signals
• Support Trade Decisions – Use as a filter to stay out when signals are mixed
• Clarity in Sideways Markets – Helps spot bias when the market is uncertain
Key Settings
• Timeframe-Specific: Built only for the 1-week chart
• Closed Source: The code is protected, but the logic behind momentum dots, structure filtering, and signal combination is explained transparently above
Disclaimer
This tool is for educational and informational use only. It does not provide financial advice or trade signals. Always use your own judgment and analysis alongside any tool.
4HRFRACTALVWAPTOPThis is Part of Green Ice Trend Momentum Package. It essentially looks to find tops (white dot)and bottoms (red dot) based on VWAP and a long trend look back using fractals. The
SPX Breadth MA 200 Trend Following Strategy [TradeSoEasy]運用「S&P 500 成分股中價格高於200日移動平均線的百分比」作為核心指標，精準捕捉市場主要趨勢。
策略核心邏輯：
📈 進場條件 (多頭)： 當S&P 500成分股中，價格高於200日均線的股票百分比超過 %時，判斷市場處於強勢，執行買入操作。
📉 出場條件 (平倉)： 當該百分比跌破 %時，判斷市場趨勢可能轉弱，執行平倉操作。
重要提示：數據來源與計算
本策略透過request.security()函數引用外部市場廣度數據S5TH，請確保您了解該數據的來源與特性。
⚠️ 重要免責聲明與風險提示：
回測結果不代表未來表現： 歷史績效數據僅供參考，不保證未來也能取得相同或類似的回報。
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Strategy Core Logic: S&P 500 Breadth & Trend Following
This strategy utilizes the "Percentage of S&P 500 Components Above their 200-Day Moving Average" as its core indicator to accurately capture the market's primary trend.
📈 Entry Condition (Long): When the percentage of S&P 500 components whose price is above their 200-day MA exceeds %, the strategy identifies a strong market and executes a buy (long) operation.
📉 Exit Condition (Close Position): When this percentage falls below %, the strategy identifies a potential weakening or reversal in the market trend and executes a close position.
Important Note: Data Source & Calculation
This strategy uses the request.security() function to reference external market breadth data, specifically the S5TH symbol. Please ensure you understand the source and characteristics of this data, as it is not calculated internally by the Pine Script from individual S&P 500 components.
⚠️ Important Disclaimer & Risk Warning:
Past performance is not indicative of future results: Historical performance data is for informational purposes only and does not guarantee similar returns in the future.
Real-world trading costs: Please note that actual trading involves commissions, slippage, and liquidity factors that may differ from backtest results, impacting your final returns.
cd_cisd_market_CxHi Traders,
Overview:
Many traders follow market structure to identify the market direction and seek trade opportunities in line with the trend.
However, markings derived from user-defined inputs can create different structures, depending on personal choices. For instance, choosing a pivot distance of 3 instead of 2 alters the structure, even though the chart remains the same. Ideally, the structure should remain consistent.
"Change in State Delivery" ( CISD ) is a widely accepted concept among traders and is considered a significant indicator of market direction based on the gain/loss of CISD levels.
In this indicator, CISD is selected as the primary criterion for marking market structure, eliminating the influence of user-dependent variations.
Here is a summary of the key logic and rules applied:
• When the price forms a new high/low, that level is only considered a pivot if a CISD has occurred.
• A bullish CISD is always followed by a bearish CISD, and vice versa.
• Pivot points form the internal structure.
• The internal structure is used to interpret the swing structure.
• Probabilities are derived from internal structure patterns.
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Details:
How is CISD determined?
As is commonly known:
• When price makes a new high, the opening level of the first candle in the consecutive bullish candle sequence is marked.
• When price makes a new low, the opening of the first candle in the consecutive bearish sequence is marked.
• If there’s only one candle in the sequence, its opening level is used.
In a bullish market, losing a bearish CISD level (i.e., a close below it) or in a bearish market, gaining a bullish CISD level (i.e., a close above it) is interpreted as a potential shift in buyer-seller dominance and a possible market reversal.
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How are internal (pivot) levels determined?
• When price closes below a bearish CISD level, the highest candle's high becomes a pivot high (PH).
• When price closes above a bullish CISD level, the lowest candle's low becomes a pivot low (PL).
• If the new PH is above the previous PH, it’s labeled as HH (Higher High); otherwise, LH (Lower High).
• If the new PL is below the previous PL, it’s labeled as LL (Lower Low); otherwise, HL (Higher Low).
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Internal Market Structure:
• A series of HHs indicates a bullish internal structure.
• A series of LLs indicates a bearish internal structure.
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Swing (Main) Market Structure:
Using internal pivots and previous swing levels, the main market structure is derived.
• A new swing high (SH) requires the price to move above the previous SH.
• A new swing low (SL) requires the price to move below the previous SL.
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Probability Calculation:
Pivot levels forming the internal structure are coded as five-element sequences.
There are 64 possible combinations of such sequences made from consecutive PH and PL values.
Each pattern’s frequency from its starting candle is tracked.
To make it more understandable:
For example, after the four-sequence “HH, LL, LH,HL”, either HH or LH might follow.
The table shows the statistical likelihood of both possible outcomes for the most recent four-element sequence on the chart.
________________________________________
How reliable is it?
To assess reliability, results are calculated from the beginning using:
Success Rate (Suc. Rt) = Number of Correct Predictions / Total Predictions
This value is added to the table for reference.
It’s important to note that no statistical outcome guarantees certainty—every result offers a different interpretation. What truly matters is to avoid getting stopped out 😊.
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Menu Options:
Show/hide preferences and color selections can be customized via the indicator menu.
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What’s Coming in Future Versions?
Features such as FVG (Fair Value Gaps) between swing levels, volume imbalances, order blocks / mitigation blocks, Fibonacci levels, and relevant trade suggestions will be added.
________________________________________
This is a BETA version that I believe will help simplify your market reading. I’d be happy to hear your feedback and suggestions.
Cheerful Trading!
Trend Blend
Trend blend is my new indicator. I use it to identify my bias when trading and filter out fake setups that are going in the wrong direction.
Trend blend utilises the 9 EMA (Red), 21 EMA (Black), and if you trade futures or Bitcoin, you can also use the VWAP (Blue).
There is also a table at the top right that displays the chart time frame bias
I prefer to use the 1-hour time frame for bias and execute the trades on 5-minute charts, mainly, and sometimes on the 1-minute for a smaller stoploss.
Here's an example of the trade I took during the London session on XAU/USD
1 hour bias was Bearish
Price broke out of the range
I waited for the London session to open, where I ended up taking a short on the 5-minute time frame as we broke out of the pre-London range
Entry was at the Fair Value Gap (5-minute bias was also Bearish as price traded into the FVG)
Stoploss was at the last high
Take Profit was the next major support level
Another set that I like to trade with the Trend blend is when price is trending bullish and price trades inside the 9 and 21 EMA, and there is a bullish candle closer above the 9 EMA with Stoploss below the low of the bullish candle and Take profit between 1-2 Risk to Reward
Same when there's a bearish trend, I wait for price to trade inside the 9 and 21 EMA, and I'll take sells when a bearish candle closes below the 9 EMA.
This setup works best in strong trends, or it can be used to enter a trade on a pullback or to scale into an existing trade.
Consolidation Zones[RanaAlgo]Overview
This indicator helps traders identify price consolidation zones (ranges) and potential breakouts in the market. It is useful for spotting periods of low volatility before significant price movements.
How It Works
Detects Consolidation Zones
Uses the ADX (Average Directional Index) to determine when the market is in a consolidation phase .
When ADX is below the threshold , the indicator marks the start of a consolidation zone.
Draws a semi-transparent box around the price range, adjusting its height as new highs/lows form.
Tracks Breakouts
When price breaks above/below the consolidation box, it signals a potential trend continuation.
Displays breakout arrows/labels (configurable shape & style) when price exits the range.
Visual Features
Boxes highlight consolidation areas (customizable color, border, and style).
Labels show real-time status ("CONSOLIDATING" or "TRENDING").
Breakout signals appear as arrows or shapes (up/down).
Usefulness in Trading
Range Trading: Helps traders identify sideways markets for buying low and selling high.
Breakout Trading: Signals potential trend entries when price exits consolidation.
Trend Confirmation: Low ADX + consolidation box = weak trend; breakout = possible trend start.
Example: If price stays in a blue box (consolidation) and then breaks above with an arrow, it suggests a bullish move.
PINO EMA Rhythm Pack📌 PINO EMA Rhythm Pack
This indicator is designed to visualize the rhythm and structure of price movements through a clean EMA framework. It helps traders identify trend momentum, transitions, and compression zones across multiple time perspectives.
The focus is on simplicity, clarity, and adaptability with core EMAs for short-term rhythm and optional long-term anchors.
Key Features:
- Toggleable EMAs:
- Short-term: EMA 10 / 20 / 50 (enabled by default)
- Long-term: EMA 21 / 200 and SMA 200 (optional)
- Distinct color coding and line thickness for clear separation
- Clean overlay display with no signals, alerts, or clutter
- Easily combine with your existing chart setups or PINO indicators
Use this pack to interpret the rhythm of price action, spot pullbacks or momentum shifts, and understand broader market context.
Created by PINO from the PinoChart channel.
PINO EMA Disparity Tracker📌 PINO EMA Disparity Tracker
This is a clean and visual overlay tool that highlights potential overbought and oversold zones based on the percentage distance between the current price and a user-defined Exponential Moving Average (EMA).
It is not a signal-based indicator, but a discretionary analysis tool designed to support structured market reading.
Key Features:
- Fully customizable: all parameters can be adjusted by the user
- Adjustable EMA length (default: 20)
- Custom thresholds for:
- Overheat Extreme (default: +15%)
- Overheat Warning (default: +10%)
- Oversold** (default: -10%)
- Color-coded background shading for fast visual recognition
- No alerts, arrows, or buy/sell prompts, just clean structure analysis
Use it to identify areas where the price may be significantly extended from the moving average and incorporate it into your broader technical framework.
Created by PINO from the PinoChart channel.
PINO SMA Disparity Tracker📌 PINO SMA Disparity Tracker
This is a clean and visual overlay tool that highlights potential overbought and oversold zones based on the percentage distance between the current price and a user-defined Simple Moving Average (SMA).
It is not a signal-based indicator, but a discretionary analysis tool designed to support structured market reading.
Key Features:
- Fully customizable: all parameters can be adjusted by the user
- Adjustable SMA length (default: 20)
- Custom thresholds for:
- Overheat Extreme (default: +15%)
- Overheat Warning (default: +10%)
- Oversold (default: -10%)
- Color-coded background shading for fast visual recognition
- No alerts, arrows, or buy/sell prompts, just clean structure analysis
Use it to identify areas where the price may be significantly extended from the moving average and incorporate it into your broader technical framework.
Created by PINO from the PinoChart channel.
RSI Buy Sell Signals+ with MFI Cloud [RanaAlgo]Indicator Overview
This indicator combines RSI (Relative Strength Index) with MFI (Money Flow Index) to generate trading signals with additional confirmation filters. The key features include:
RSI Analysis (14-period) with overbought/oversold levels
MFI Cloud (20-period default) showing trend direction via EMAs
Enhanced Signal Generation with volume and trend confirmation options
Visual Elements including colored zones, signal labels, and an information panel
How to Use This Indicator
Basic Interpretation:
Buy Signals (green labels) appear when:
RSI crosses above oversold level (30) OR
RSI shows a rising pattern from oversold zone with volume/trend confirmation (if enabled)
Sell Signals (red labels) appear when:
RSI crosses below overbought level (70) OR
RSI shows a falling pattern from overbought zone with volume/trend confirmation (if enabled)
MFI Cloud provides trend confirmation:
Green cloud = bullish trend (fast EMA > slow EMA)
Red cloud = bearish trend (fast EMA < slow EMA)
Recommended Usage:
For Conservative Trading:
Enable both volume and trend confirmation
Require MFI cloud to align with signal direction
Wait for RSI to clearly exit overbought/oversold zones
For Active Trading:
Combine with price action at key support/resistance levels
Watch for divergence between price and RSI
The Information Panel (top-right) shows:
Current RSI value and status
MFI trend direction
Last generated signal
Current momentum
Customization Options:
Adjust RSI/MFI lengths for sensitivity
Modify overbought/oversold levels
Toggle volume/trend confirmation requirements
Adjust visual elements like cloud opacity and zone visibility
MACD Support and Resistance [ChartPrime]⯁ OVERVIEW
MACD Support and Resistance is a dynamic support/resistance mapping tool powered by MACD crossover logic. Each time the MACD line crosses the signal line, the indicator scans for recent price extremes and locks them in as potential support or resistance zones. These levels are automatically cleaned up if price breaks them, keeping the chart focused on active market structure. The system includes a built-in MACD display with visual markers, along with contextual highs and lows to help define the current environment.
⯁ MACD-BASED SUPPORT/RESISTANCE GENERATION
The core logic uses the MACD oscillator crossover as a trigger event to generate structural levels:
When MACD crosses above its signal line:
→ The script scans the last 5 bars for the lowest low .
→ A support level is plotted at that price.
When MACD crosses below its signal line:
→ The script scans the last 5 bars for the highest high .
→ A resistance level is plotted at that price.
These dynamic levels reflect where price recently reversed or paused, making them prime zones for reaction, continuation, or invalidation.
⯁ LEVEL MANAGEMENT AND VALIDATION
To keep the chart clean and relevant:
A maximum of 20 active levels are allowed at once.
Older levels are automatically removed if the list exceeds the limit.
If price closes below a support level or above a resistance level , the corresponding line is deleted.
This ensures that only currently respected levels remain on the chart — a major advantage for active traders.
⯁ MACD VISUALIZATION + SIGNAL MARKERS
A full MACD system is rendered on the lower panel for visual confirmation:
The MACD line and Signal line are both plotted and color-coded dynamically.
A filled area] highlights the spread between them to emphasize momentum strength.
A diamond marker is drawn each time MACD crosses its signal line, alerting traders to potential trend shifts.
These visuals make it easy to understand the timing of the support/resistance updates.
⯁ LOCAL EXTREME REFERENCE LINES
To help contextualize current price position relative to recent market extremes:
A Local High line is plotted based on the highest MACD value over the past 100 bars].
A Local Low line is plotted based on the lowest MACD value over the past 100 bars].
These levels are rendered lightly and serve as dynamic range boundaries.
They assist traders in identifying overextended or compressed MACD behavior.
⯁ USAGE
Use the generated S/R levels as breakout or reversal zones.
Watch for MACD diamond markers to confirm the timing of new levels.
Combine these reactive zones with other ChartPrime confluence tools for higher-confidence entries.
Use the Local High/Low zones as a volatility envelope to guide risk and trend continuation potential.
⯁ CONCLUSION
MACD Support and Resistance takes a classic momentum indicator and adds real-time structural awareness. By linking MACD crossover events to recent price extremes, it identifies the zones where market sentiment shifted — and continues to monitor their strength. Whether you're a breakout trader or looking to fade key reaction points, this tool delivers clean, actionable levels based on momentum and structure — not guesswork.
ATR RopeATR Rope is inspired by DonovanWall's "Range Filter". It implements a similar concept of filtering out smaller market movements and adjusting only for larger moves. In addition, this indicator goes one step deeper by producing actionable zones to determine market state. (Trend vs. Consolidation)
> Background
When reading up on the Range Filter indicator, it reminded me exactly of a Rope stabilization drawing tool in a program I use frequently. Rope stabilization essentially attaches a fixed length "rope" to your cursor and an anchor point (Brush). As you move your cursor, you are pulling the brush behind it. The cursor (of course) will not pull the brush until the rope is fully extended, this behavior filters out jittery movements and is used to produce smoother drawing curves.
If compared visually side-by-side, you will notice that this indicator bears striking resemblance to its inspiration.
> Goal
Other than simply distinguishing price movements between meaningful and noise, this indicator strives to create a rigid structure to frame market movements and lack-there-of, such as when to anticipate trend, and when to suspect consolidation.
Since the indicator works based on an ATR range, the resulting ATR Channel does well to get reactions from price at its extremes. Naturally, when consolidating, price will remain within the channel, neither pushing the channel significantly up or down. Likewise, when trending, price will continue to push the channel in a single direction.
With the goal of keeping it quick and simple, this indicator does not do any smoothing of data feeds, and is simply based on the deviation of price from the central rope. Adjusting the rope when price extends past the threshold created by +/- ATR from the rope.
> Features & Behaviors
- ATR Rope
ATR Rope is displayed as a 3 color single line.
This can be considered the center line, or the directional line, whichever you'd prefer.
The main point of the Rope display is to indicate direction, however it also is factually the center of the current working range.
- ATR Rope Color
When the rope's value moves up, it changes to green (uptrend), when down, red (downtrend).
When the source crosses the rope, it turns blue (flat).
With these simple rules, we've formed a structure to view market movements.
- Consolidation Zones
Consolidation Zones generate from "Flat" areas, and extend into subsequent trend areas. Consolidation is simply areas where price has crossed the Rope and remains inside the range. Over these periods, the upper and lower values are accumulated and averaged together to form the "Consolidation Zone" values. These zones are draw live, so values are averaged as the flat areas progress and don't repaint, so all values seen historically are as they would appear live.
- ATR Channel
ATR Channel displays the upper and lower bounds of the working range.
When the source moves beyond this range, the rope is adjusted based on the distance from the source to the channel. This range can be extremely useful to view, but by default it is hidden.
> Application
This indicator is not created to provide signals, or serve as a "complete" system.
(People who didn't read this far will still comment for signals. :) )
This is created to be used alongside manual interpretation and intuition. This indicator is not meant to constrain any users into a box, and I would actually encourage an open mind and idea generation, as the application of this indicator can take various forms.
> Examples
As you would probably already know, price movement can be fast impulses, and movement can be slow bleeds. In the screenshot below, we are using movements from and to consolidation zones to classify weak trend and strong trend. As you can see, there are also areas of consolidation which get broken out of and confirmed for the larger moves.
Author's Note: In each of these examples, I have outlined the start and end of each session. These examples come from 1 Min Future charts, and have specifically been framed with day trading in mind.
"Breakout Retest" or "Support/Resistance Flips" or "Structure Retests" are all generally the same thing, with different traders referring to them by different names, all of which can be seen throughout these examples.
In the next example, we have a day which started with an early reversal leading into long, slow, trend. Notice how each area throughout the trend essentially moves slightly higher, then consolidates while holding support of the previous zone. This day had a few sharp movements, however there was a large amount of neutrality throughout this day with continuous higher lows.
In contrast to the previous example, next up, we have a very choppy day. Throughout which we see a significant amount of retests before fast directional movements. We also see a few examples of places where previous zones remained relevant into the future. While the zones only display into the resulting trend area, they do not become immediately meaningless once they stop drawing.
> Abstract
In the screenshot below, I have stacked 2 of these indicators, using the high as the source for one and the low as the source for the other. I've hidden lines of the high and low channels to create a 4 lined channel based on the wicks of price.
This is not necessary to use the indicator, but should help provide an idea of creative ways the simple indicator could be used to produce more complicated analysis.
If you've made it this far, I would hope it's clear to you how this indicator could provide value to your trading.
Thank you to DonovonWall for the inspiration.
Enjoy!
SimpleBiasSimpleBias - Multi-Timeframe Bias Analysis Indicator
Overview
SimpleBias is a comprehensive multi-timeframe bias analysis indicator designed to help traders make informed trading decisions by displaying market bias across multiple timeframes in a clean, organized table format.
Key Features
Multi-Timeframe Analysis
8 Timeframes Supported : 1M, 1W, 1D, 4H, 1H, 15m, 5m, 1m
Adaptive Display : Shows only relevant timeframes based on current chart timeframe
Real-time Bias Detection : Compares current open price with previous period's open price
Signal Generation
Day Trading Mode : Ideal for 15-minute timeframe analysis
Scalping Mode : Optimized for 5-minute timeframe trading
Signal OFF : Pure bias analysis without trade signals
Customization Options
Theme Support : Light mode and dark mode with automatic color adaptation
Position Control : Table can be positioned at top-right, middle-right, or bottom-right
Size Options : Tiny, small, or normal text size
Color Customization : Full control over bias colors, signal colors, and interface elements
Transparency : Optional transparent background for cleaner chart appearance
How It Works
Bias Calculation
The indicator determines market bias by comparing the current timeframe's open price with the previous period's open price:
BULLISH : Current open > Previous open
BEARISH : Current open < Previous open
NEUTRAL : Current open = Previous open
Adaptive Timeframe Display
The indicator intelligently shows only relevant timeframes based on your current chart:
On 1M chart: Shows 1M bias only
On 1W chart: Shows 1M, 1W bias
On 1D chart: Shows 1M, 1W, 1D bias
And so on...
Signal Logic
Day Trading : Compares current price with 4H open price
Scalping : Compares current price with 1H open price
Usage Instructions
Add to Chart : Apply the indicator to any timeframe chart
Configure Settings :
- Choose table position and text size
- Select signal mode (OFF/Day Trade/Scalping)
- Customize colors and theme
Interpret Results :
- Green/Blue text = Bullish bias
- Red text = Bearish bias
- Gray text = Neutral bias
Customization Guide
Theme Settings
Light Mode : Traditional white background with dark text
Dark Mode : Dark background with light text, optimized for dark charts
Transparent Background : Clean overlay without background color
Color Schemes
Bias Colors : Separate customization for bullish, bearish, and neutral bias
Signal Colors : Distinct colors for buy, sell, and neutral signals
Interface : Control table background and border colors
Best Practices
For Day Trading
Use 15-minute or 1-hour charts
Enable "Day Trade" signal mode
Focus on 4H and higher timeframe bias alignment
For Scalping
Use 5-minute charts
Enable "Scalping" signal mode
Watch for 1H and 4H bias alignment
For Swing Trading
Use 4H or daily charts
Keep signal mode OFF
Focus on weekly and monthly bias alignment
Important Notes
This indicator is for educational and analysis purposes only
Not financial advice - always do your own research
Past performance does not guarantee future results
Risk management is essential in all trading activities
Technical Specifications
Pine Script Version : v6
Overlay : True (displays on price chart)
Performance : Optimized with cached security requests
Compatibility : Works on all TradingView timeframes and instruments
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SimpleBias - Indikator Analisis Bias Multi-Timeframe
Gambaran Umum
SimpleBias adalah indikator analisis bias multi-timeframe yang komprehensif, dirancang untuk membantu trader membuat keputusan trading yang tepat dengan menampilkan bias pasar di berbagai timeframe dalam format tabel yang bersih dan terorganisir.
Fitur Utama
Analisis Multi-Timeframe
8 Timeframe Didukung : 1M, 1W, 1D, 4H, 1H, 15m, 5m, 1m
Tampilan Adaptif : Hanya menampilkan timeframe yang relevan berdasarkan timeframe chart saat ini
Deteksi Bias Real-time : Membandingkan harga open saat ini dengan harga open periode sebelumnya
Mode Sinyal Trading
Mode Day Trading : Ideal untuk analisis timeframe 15 menit
Mode Scalping : Dioptimalkan untuk trading timeframe 5 menit
Mode OFF : Analisis bias murni tanpa sinyal trading
Opsi Kustomisasi
Dukungan Theme : Mode terang dan gelap dengan adaptasi warna otomatis
Kontrol Posisi : Tabel dapat diposisikan di kanan-atas, kanan-tengah, atau kanan-bawah
Opsi Ukuran : Ukuran teks kecil, sedang, atau normal
Kustomisasi Warna : Kontrol penuh atas warna bias, warna sinyal, dan elemen interface
Transparansi : Background transparan opsional untuk chart yang lebih bersih
Cara Kerja
Perhitungan Bias
Indikator menentukan bias pasar dengan membandingkan harga open timeframe saat ini dengan harga open periode sebelumnya:
BULLISH : Open saat ini > Open sebelumnya
BEARISH : Open saat ini < Open sebelumnya
NEUTRAL : Open saat ini = Open sebelumnya
Petunjuk Penggunaan
Tambahkan ke Chart : Terapkan indikator ke chart timeframe apapun
Konfigurasi Settings :
- Pilih posisi tabel dan ukuran teks
- Pilih mode sinyal (OFF/Day Trade/Scalping)
- Sesuaikan warna dan theme
Interpretasi Hasil :
- Teks hijau/biru = Bias bullish
- Teks merah = Bias bearish
- Teks abu-abu = Bias neutral
Best Practices
Untuk Day Trading
Gunakan chart 15 menit atau 1 jam
Aktifkan mode sinyal "Day Trade"
Fokus pada alignment bias timeframe 4H ke atas
Untuk Scalping
Gunakan chart 5 menit
Aktifkan mode sinyal "Scalping"
Perhatikan alignment bias 1H dan 4H
Catatan Penting
Indikator ini hanya untuk tujuan edukasi dan analisis
Bukan nasihat keuangan - selalu lakukan riset sendiri
Performa masa lalu tidak menjamin hasil masa depan
Manajemen risiko sangat penting dalam semua aktivitas trading
SimpleBias membantu trader mempertahankan kesadaran terhadap bias pasar di berbagai timeframe, mendukung timing dan pengambilan keputusan yang lebih baik dalam strategi trading mereka.
Hot Zones Indicator [ChartPrime]Hot Zones (Basic) is a precision-engineered confluence detection system that identifies statistically significant price reaction zones by mapping retracement levels enriched with structural, volumetric, and momentum-based overlays. In contrast to static Fibonacci tools, this system dynamically synchronizes a custom volume-weighted average price inspired overlay and localized oscillator signals to produce probabilistically favorable “hot zones” that respond to real-time market structure.
These zones are visually enhanced when multiple dimensions of market confluence align—such as volume-weighted price agreement, structural symmetry, and volatility-based momentum extremes—allowing for immediate prioritization of high-probability reaction areas.
Core Concept
The system autonomously detects impulse-correction phases within the price series using directional breakout logic and multi-bar structural analysis. Once a valid trend leg is established, standard retracement levels are plotted along the vector. These levels are continuously evaluated against live price interaction, volume alignment, and momentum state.
Swing Initialization Logic
Automated Structural Anchoring: Swing points are detected using fractal pivot analysis and breakout validation. The tool anchors retracement vectors to recent directional legs with the highest structural integrity.
Volume-Weighted Price Confluence
Two VWAP-derived overlays are applied:
Anchored Volume Level: Derived from the origin of the leg, reflecting the volume-weighted cost basis of major participants over the structural phase.
Internal VWAP: Triggered on intermediate pullbacks, mapping localized institutional activity through recursive anchoring logic.
When either curve aligns with a retracement level under live market conditions, the level is flagged as a high-confluence reaction zone.
Momentum & Volatility Filtering
A proprietary oscillator—optimized for mean deviation and multi-resolution smoothing—is integrated to quantify local volatility states and directional momentum.
The oscillator feeds into two distinct signal regimes:
Directional Crossovers: When a significant momentum shift occurs within a mapped levels, the zone is annotated accordingly with a directional labeling "⬆" or "⬇".
Momentum Extremes: OB/OS thresholds are used to detect compression or exhaustion states, enhancing zone validity under directional stress.
These signals are visually merged into the zone rendering, enabling contextual clarity at a glance.
Customization & Advanced Features
Individual fib levels can be toggled or styled per user preference.
Aesthetic properties (color, line width) are fully configurable.
An optional “Hacker Zone” region—highlighting retracement areas statistically associated with institutional accumulation also known as Golden Pocket — is available for advanced users.
Conclusion
Hot Zones by ChartPrime represents a multi-dimensional confluence engine, transforming traditional retracement mapping into a reactive, data-driven framework. By integrating structure, volume flow, and momentum analytics into a unified interface, it enhances discretionary and systematic trading decisions alike. Whether trading trend continuations, reversals, or liquidity anomalies, Hot Zones enables actionable clarity at structurally significant levels.
Volume Momentum [BackQuant]Volume Momentum
The Volume Momentum indicator is designed to help traders identify shifts in market momentum based on volume data. By analyzing the relative volume momentum, this indicator provides insights into whether the market is gaining strength (uptrend) or losing momentum (downtrend). The strategy uses a combination of percentile-based volume normalization, weighted moving averages (WMA), and exponential moving averages (EMA) to assess volume trends.
The system focuses on the relationship between price and volume, utilizing normalized volume data to highlight key market changes. This approach allows traders to focus on volume-driven price movements, helping them to capture momentum shifts early.
Key Features
1. Volume Normalization and Percentile Calculation:
The signed volume (positive when the close is higher than the open, negative when the close is lower) is normalized against the rolling average volume. This normalized volume is then subjected to a percentile interpolation, allowing for a robust statistical measure of how the current volume compares to historical data. The percentile level is customizable, with 50 representing the median.
2. Weighted and Smoothed Moving Averages for Trend Detection:
The normalized volume is smoothed using weighted moving averages (WMA) and exponential moving averages (EMA). These smoothing techniques help eliminate noise, providing a clearer view of the underlying momentum. The WMA filters out short-term fluctuations, while the EMA ensures that the most recent data points have a higher weight, making the system more responsive to current market conditions.
3. Trend Reversal Detection:
The indicator detects momentum shifts by evaluating whether the volume momentum crosses above or below zero. A positive volume momentum indicates a potential uptrend, while a negative momentum suggests a possible downtrend. These trend reversals are identified through crossover and crossunder conditions, triggering alerts when significant changes occur.
4. Dynamic Trend Background and Bar Coloring:
The script offers customizable background coloring based on the trend direction. When volume momentum is positive, the background is colored green, indicating a bullish trend. When volume momentum is negative, the background is colored red, signaling a bearish trend. Additionally, the bars themselves can be colored based on the trend, further helping traders quickly visualize market momentum.
5. Alerts for Momentum Shifts:
The system provides real-time alerts for traders to monitor when volume momentum crosses a critical threshold (zero), signaling a trend reversal. The alerts notify traders when the market momentum turns bullish or bearish, assisting them in making timely decisions.
6. Customizable Parameters for Flexible Usage:
Users can fine-tune the behavior of the indicator by adjusting various parameters:
Volume Rolling Mean: The period used to calculate the average volume for normalization.
Percentile Interpolation Length: Defines the range over which the percentile is calculated.
Percentile Level: Determines the percentile threshold (e.g., 50 for the median).
WMA and Smoothing Periods: Control the smoothing and response time of the indicator.
7. Trend Background Visualization and Trend-Based Bar Coloring:
The background fill is shaded according to whether the volume momentum is positive or negative, providing a visual cue to indicate market strength. Additionally, bars can be color-coded to highlight the trend, making it easier to see the trend’s direction without needing to analyze numerical data manually.
8. Note on Mean-Reversion Strategy:
If you take the inverse of the signals, this indicator can be adapted for a mean-reversion strategy. Instead of following the trend, the strategy would involve buying assets that are underperforming and selling assets that are overperforming, based on volume momentum. However, it’s important to note that this approach may not work effectively on highly correlated assets, as their price movements may be too similar, reducing the effectiveness of the mean-reversion strategy.
Final Thoughts
The Volume Momentum indicator offers a comprehensive approach to analyzing volume-based momentum shifts in the market. By using volume normalization, percentile interpolation, and smoothed moving averages, this system helps identify the strength and direction of market trends. Whether used for trend-following or adapted for mean-reversion, this tool provides traders with actionable insights into the market’s volume-driven movements, improving decision-making and portfolio management.
Candle Body TableCandle Body Table is a lightweight, easy-to-use indicator that displays a live summary of candle “body strength” across multiple timeframes, along with how much time is left on each candle. Simply choose up to five timeframes (1, 5, 15, 30, and 60 minutes by default), adjust the table’s corner and font size, and you’ll always have a quick, at-a-glance view of:
OC (Body %): The percentage of the candle that’s composed of its body (|open – close| divided by high–low).
Strength: A label (Weak, Balanced, or Strong) based on the body percentage.
Time Left: How many minutes and seconds remain before the current candle closes.
The table updates in real time (using lookahead), coloring each row background green if that timeframe’s current candle is bullish, or red if it’s bearish. That way, you can instantly see which timeframes have strong momentum, which are balanced or weak, and exactly when each candle will finish.
Use Cases
Multi-Timeframe Momentum Check:
If you want to confirm that both your 1m and 5m candles have “Strong” bodies before entering a trade, Candle Body Table shows you that instantly. No more switching back and forth between charts—just glance at the table.
Time-Sensitive Entries/Exits:
Suppose you trade breakouts only at the close of a 5-minute candle. The “Time Left” column counts down so you know exactly when that candle is about to close—down to the second—letting you prepare your order.
Quick Visual Scan:
When markets are choppy, you may want to see which timeframes are weak or balanced rather than diving into each timeframe separately. If the 15m row says “Weak” (small body %), you might avoid taking a trend-following position at that moment.
Session Overlaps & Volatility Windows:
During London/N.Y. overlap or U.S. cash close, traders often check for stronger bodies on higher timeframes (e.g., 30m or 60m). The table immediately highlights if that timeframe’s candle body heats up, indicating increased volatility.
Swing-to-Scalp Transition:
If you typically scalp on 1m but only when the 15m candle is “Strong,” this table gives a green/red cue and a strength label. That makes it easier to wait patiently until multiple timeframes align.
FAQ
Q1. What does “OC” mean, and why is it shown as a percentage?
A1. “OC” stands for Open/Close difference. So it reflects how much of the candle’s total range (high–low) is taken up by its body(open-close). A high OC% means the candle body is large relative to its wick. In other words a strong Bullish/Bearish candle.
Q2. How is “Strength” determined?
A2. The script uses three buckets:
Weak if OC% ≤ 30%
Balanced if 30% < OC% ≤ 55%
Strong if OC% > 55%
This gives you a quick label instead of having to interpret raw percentages every time.
Q3. Why do some rows have a green background and others red?
A3. If close > open (bullish candle), that entire row’s background is shaded green(70%). If close < open (bearish candle), it’s shaded red(70%). If open = close (doji), there’s no background shade. This lets you instantly spot bullish vs. bearish candles across your chosen timeframes.
Q4. Will this repaint?
A4. No. Because each OHLC value is requested with lookahead_on, you see the live developing OHLC. However, once a candle closes, those values are final. The “Time Left” column dynamically changes throughout the bar but does not redraw past values.
LRCLRC (Linear Regression Candle)
Overview
The LRC (Linear Regression Candle) indicator applies linear regression to the open, high, low, and close prices, creating smoothed "candles" that help filter market noise. It provides trend-confirmation signals and highlights potential reversal points based on regression crossovers.
Key Features
Smoothed Candles: Uses linear regression to calculate synthetic OHLC values, reducing noise.
Multi-Timeframe Support: Optional higher timeframe analysis for better trend confirmation.
Visual Signals: Color-coded candles and labels highlight bullish/bearish control zones.
Customizable Settings: Adjustable regression length, colors, and timeframe options.
How to Use
Signals & Interpretation
🟢 Bullish Signal (BUY): When the regression open crosses above the regression close (green candle).
🔴 Bearish Signal (SELL): When the regression open crosses below the regression close (red candle).
Control Zones:
Strong Bullish (Controlbull): Confirmed uptrend (bright green).
Bullish (Bull): Regular uptrend (light green).
Strong Bearish (Controlbear): Confirmed downtrend (dark red).
Bearish (Bear): Regular downtrend (orange).
Neutral (Gray): No clear trend.
Recommended Settings
Linear Regression Length: Default 8 (adjust for sensitivity).
Timeframe: Default current chart, but can switch to higher timeframes (e.g., 1D, 1W).
Bar Colors: Toggle on/off for visual clarity.
Labels: Displays "Control" markers at key reversal points.
Example Use Cases
Trend Confirmation: Use higher timeframe LRC to validate the primary trend.
Reversal Signals: Watch for BUY/SELL crossovers with strong color confirmation.
Noise Reduction: Helps avoid false breakouts in choppy markets.
FVG Trailing Stop [LuxAlgo]The FVG Trailing Stop indicator tracks unmitigated Fair Value Gaps (FVG) data to produce a Trailing Stop indicator able to determine if the market is uptrending or downtrending easily.
🔶 USAGE
The FVG Trailing Stop is intended to identify trend directions through its position relative to the closing price:
Bullish: Price is located above the Trailing Stop, indicating that all Bearish FVGs have been mitigated and the trend is anticipated to continue upwards.
Bearish State: Price is located below the Trailing Stop, indicating that all Bullish FVGs have been mitigated and the trend is anticipated to continue downwards.
The Trailing Stop originates from two extremities obtained from the average of respective unmitigated FVGs. The specific directional average is also displayed as a more transparent secondary line, however, the trailing stop is derived from this value and a new trend will not be detected until the opposite directional average is crossed.
Price reaching the Trailing Stop is caused by retracements and can lead to the following scenarios:
Outcome 1: The directional average is crossed next, indicating a new trend direction.
Outcome 2: The directional average is held as support or resistance, leading to a new impulse and a continuation of the trend.
🔹 Reset on Cross
While price crossing the Trailing Stop should be considered as a sign of an upcoming trend change; it is possible for the price to still evolve outside it.
As a solution, we have included the "Reset on Cross" feature, which (as the name suggests) hides and resets the Trailing Stop each time it is crossed, leading to a "Neutral" state.
This opens the opportunity for the Trailing Stop to be displayed again once the price moves again in the direction of the pre-established trend. A trader might use this to accumulate positions within a specific trend.
🔶 DETAILS
The script uses a typical identification method for FVGs. Once identified, the script collects the point of the FVG farthest from the current price when formed.
For Upwards FVGs this is the bottom of the FVG.
For Downwards FVGs this is the top of the FVG.
The data is managed only to use the last input lookback of FVGs. If an FVG is mitigated, it frees up a spot in the memory for a new FVG, however, if the lookback is full, the oldest will be deleted.
From there, it uses a "trailing" logic only to move the Trailing Stop in one direction until the trailing stop resets or the direction flips.
The extremities used to calculate the Trailing Stop are created from 2 calculation steps, the first step involves taking the raw average of the FVG mitigation levels, and the second step applies a simple moving average (SMA) smoothing of the precedent-obtained averages.
🔶 SETTINGS
Unmitigated FVG Lookback: Sets the maximum number of Unmitigated FVGs that the script will use.
Smoothing Length: Sets the smoothing length for the Trailing Stop to reduce erratic results.
Reset on Cross: When enabled, hide and reset the Trailing Stop until the price starts moving in the pre-established trend direction again.
