Trend Continuation IndicatorTrend Continuation Indicator
The Trend Continuation Indicator is designed to assist traders in identifying potential continuation setups within established market trends. It is particularly suited for use in strong trending environments and is optimized for lower timeframes, with a recommended chart setting of 5-minute candles and an EMA timeframe set to 1 hour.
The indicator combines multiple technical elements:
RSI (Relative Strength Index): Used to assess potential overbought and oversold conditions relative to the trend.
EMA (Exponential Moving Average): A multi-timeframe EMA is used as a directional filter, helping to align entries with the broader trend.
Candle Structure and Momentum Filters: The logic includes real-time candle analysis and volume dynamics to identify momentum-driven signals.
Buy signals are generated when price action shows bullish momentum and RSI confirms potential oversold conditions within an uptrend. Conversely, sell signals are triggered when bearish momentum aligns with overbought RSI levels in a downtrend.
This tool is intended for use as part of a broader trading strategy and is best applied in trending markets where continuation patterns are more likely to follow through.
THE INDICATOR ITSELF IS NO FINANCIAL ADVISE!
Here are some usecase examples:
Scalping
ALGORITHM D_C_v2 (Scalping & Trend Detection Tool)This invite-only script is designed for manual traders seeking an advanced analytical assistant to validate market entries through a comprehensive technical framework. It identifies potential entry zones by combining price action, EMA alignment, market structure analysis, and dynamic detection of breakouts and reversals, adapting to both trending and consolidating environments.
⚙️ Core Functionality
The internal logic integrates:
Directional bias detection across multiple timeframes (EMA20/50 alignment)
Structural breakout scanning based on swing and price flow
Detection of reversal patterns (engulfing, pin bars, inside bars)
Visual confirmation of signal zones with contextual directional strength
The tool displays clear visual signals (Buy/Sell labels) on the chart to help traders identify high-probability entry zones. All signals are based on confirmed candle closes, with no repainting logic. It also marks key zones (support and resistance) to assist traders in filtering signals with greater discretion.
🔍 Why invite-only and closed-source?
The strategy powering this script is the result of extensive real-time testing and ongoing optimization. The source code is protected to preserve its originality and avoid misuse or copying, while delivering full technical utility.
🛠️ How to use it?
This tool is intended for manual execution. Users must apply their own judgment using the signals and technical analysis provided as a guide within their trading strategy.
⚠️ Disclaimer
This script does not guarantee profitable results. It is a technical analysis tool meant to assist decision-making and requires trader interpretation. It does not constitute financial advice of any kind.
RDS Support Profit Target v0.6.32Rip Dip Signals (RDS) Support Profit Target Indicator Overview (v0.6.32)
Overview: This Pine Script indicator identifies scalping opportunities based on support/resistance levels. Designed for automated trading via TradingView alerts connected to platforms like 3Commas (API integration for millisecond execution). Monitors up to 400 assets (e.g., Binance USDT crypto pairs), but works across all markets. Focuses on quality trades over quantity—tighten top-level parameters for fewer, higher-confidence signals. Ideal timeframe: 3-minute charts for quick turnarounds (max 4-5 hour holds). Targets 0.9-1.2% profit per trade, with 1.2-3% stop losses recommnded. You can play around with the settings and see what the results are instantly on the stats table. No need for back testing.
Entry (Buy) Conditions: Triggers on a green bar after a qualifying resistance line (min 40 bars length, configurable via "Min Res Line Length"; max lookback 200 bars) followed by a support line. Requires min 3 support lines (configurable) starting since resistance began (excludes buy support). Buy at close, but aims for improvement: Future refinements to enter at true support low, not mid-dip (add price action like break above lower highs, ATR for volume confirmation, fair value gaps).
Exit (Sell) Conditions: Primarily take-profit at +0.9% (configurable). Optional: Stop-loss at -1.8% (toggleable); Support exit if price hits prior support (with 0% buffer).
Top-Level Filters: Ensures quality before trading.
Volume: Min 1M USDT 24h to avoid low liquidity.
Success Rate: Min 70% total, 90% recent (over X days back).
Duration: Max avg 5 hours for scalping.
Profit: Min avg 0.7%. Purpose: Filters volatile/poor performers; prevents overtrading.
Tables:
Stats Table: Displays total/recent buys/sells, SL exits, success rates (color-coded vs thresholds), avg duration/profit. Role: Monitors performance; qualifies symbols.
Volume Table: Shows 24h USDT volume (color-coded). Role: Quick liquidity check.
Refinements: Current issue: Optimize SL to reduce losses and optimize entries better rather than on their way to the dips. Possible suggestions: Add entry validations (e.g., candle size, indicators).
Alerts ready: Universal alerts enabled since Jan 2025 (for full watchlists vs single assets) for multi-asset efficiency. Not crypto-exclusive; can be tested on stocks/forex.
Tooltips:
There are tooltips on each setting for user clarity. Just hover over the info symbol for each setting.
I'm open to any recommendations of how to enhance the entry/exit conditions. Please comment below with feedback which is gratefully received.
[CRYPTOLABS] BTC MinuteMaster (OBV + RSI + VWAP + ORDERBLOCKS) BTC MinuteMaster (OBV + RSI + VWAP + Orderblocks)
The BTC MinuteMaster by Cryptolabs is designed specifically for precise intraday and scalping strategies on Bitcoin (BTCUSD). This indicator combines four proven market techniques into one compact, modular tool:
✅ VWAP Deviation Bands
Calculates volume-weighted average price (VWAP) with standard deviation bands to identify short-term overbought/oversold zones and potential mean-reversion areas.
✅ OBV-based RSI (OBV RSI)
A custom RSI that evaluates On-Balance Volume (OBV) instead of price. The OBV RSI provides early signals for momentum shifts, especially when volume divergences occur. Custom-level alerts help identify extremes efficiently.
✅ Automatic Orderblock Detection (S/R Levels)
Automatically detects bullish and bearish orderblocks based on key pivot levels, combined with volatility filters. Helps visualize relevant support and resistance areas with precision.
🔑 Use Cases:
-> Intraday / Minute Trading (best suited for 1m – 15m timeframes)
-> Mean-Reversion / Momentum-based Setups
-> Support for Orderblock & S/R Identification
📌 Technical Highlights:
-> Volume-based (OBV / VWAP)
-> Multi-framework indicator (Price / Volume / Structure)
-> No repainting, no lagging signals
⚠️ Disclaimer:
Our "BTC MinuteMaster" is not an automated trading system. It is a supporting tool for discretionary analysis. For best results, combine it with Price Action and Liquidity-based strategies.
ALGORITHM D_C (Scalping & Trend Detection Tool)This invite-only script is designed for manual traders seeking an advanced analytical assistant to validate market entries through a comprehensive technical framework. It identifies potential entry zones by combining price action, EMA alignment, market structure analysis, and dynamic detection of breakouts and reversals, adapting to both trending and consolidating environments.
⚙️ Core Functionality
The internal logic integrates:
Directional bias detection across multiple timeframes (EMA20/50 alignment)
Structural breakout scanning based on swing and price flow
Detection of reversal patterns (engulfing, pin bars, inside bars)
Visual confirmation of signal zones with contextual directional strength
The tool displays clear visual signals (Buy/Sell labels) on the chart to help traders identify high-probability entry zones. All signals are based on confirmed candle closes, with no repainting logic. It also marks key zones (support and resistance) to assist traders in filtering signals with greater discretion.
🔍 Why invite-only and closed-source?
The strategy powering this script is the result of extensive real-time testing and ongoing optimization. The source code is protected to preserve its originality and avoid misuse or copying, while delivering full technical utility.
🛠️ How to use it?
This tool is intended for manual execution. Users must apply their own judgment using the signals and technical analysis provided as a guide within their trading strategy.
⚠️ Disclaimer
This script does not guarantee profitable results. It is a technical analysis tool meant to assist decision-making and requires trader interpretation. It does not constitute financial advice of any kind.
LEOLA LENS SignalProLeola Lens SignalPro is a closed-source, invite-only overlay that provides automated Buy/Sell labels on the chart. It is built for traders who want to visually capture high-probability turning points using adaptive market logic.
The system operates in two intelligent modes, suitable for different risk profiles and market conditions:
🔁 Two Core Modes:
Scalper Mode
Reacts to short-term price momentum shifts. Ideal for fast-paced trading in crypto, intraday stocks, or volatile sessions.
Safeguard Mode
Prioritizes confirmation. Waits for cleaner structural breaks or volume-backed exhaustion before generating signals — designed for those seeking higher signal quality and fewer false positives.
📊 How It Works (Conceptual Overview):
The script analyzes:
Live price structure
Volatility bands
Dynamic support/resistance reactions
A custom trigger engine monitors:
Breakout conditions
Liquidity imbalances
Exhaustion wicks and trap patterns
Labels are only generated after strict checks.
A yellow caution label appears when there’s a likely trend reversal, alerting traders to proceed with extra caution.
🟡 Additional Visual Layers:
🟡 Yellow Line → Marks a key psychological decision zone. Often precedes major breakouts or trend changes.
🩷 Pink Lines → Show reactive support and resistance levels derived from recent liquidity sweeps. These lines help anticipate pullbacks, reversal rejections, or false breakouts.
🧩 How to Use It:
Toggle between Scalper and Safeguard modes depending on your strategy
Works across all markets — crypto, stocks, forex, and commodities
Watch for:
Buy labels near exhaustion candles or support retests
Sell labels after extended upside moves or trap wicks
Yellow caution tag = high reversal risk zone
Pink/Yellow lines = visual context for decision-making
⚠️ Important Notes:
This script does not use common indicators like RSI, MACD, or Bollinger Bands
Not derived from public scripts — it’s built from original models combining structure and momentum imbalance
For best results, use on a clean chart with no overlapping indicators.
RAA Buy Sell[RanaAlgo]Overview
The RAA (RanaAlgo Adaptive Average) Buy Sell indicator is a trend-following tool that helps identify potential buy and sell signals based on price deviation from an adaptive moving average. It uses a combination of:
(Fractal Adaptive Moving Average) – Adjusts its sensitivity based on market volatility.
RAA Bands – Dynamic upper/lower bands calculated using a multiplier applied to the average deviation.
🔹 Key Features
Trend Identification
Bullish Trend →
Bearish Trend →
Signal Generation
Visual Enhancements
Colored candles (green for bullish, red for bearish).
Dynamic bands to visualize trend strength.
Alerts
Customizable buy/sell alerts for real-time notifications.
🔹 Usefulness in Trading
✅ Trend Confirmation – Helps confirm trend direction before entering trades.
✅ Reduces False Signals – Uses adaptive bands to filter out noise.
✅ Works Across Timeframes – Effective on intraday, swing, and long-term trading.
✅ Customizable – Adjustable length and multiplier for different market conditions.
🔹 Best Used For
Trend-following strategies (riding strong trends).
Breakout trading (entering when price confirms momentum).
Avoiding choppy markets (since the adaptive bands widen in volatility).
Momentum Candle V2 by Sekolah Trading📌 Momentum Candle V2 by Sekolah Trading – Pair-Based Volatility & Wick Ratio Filter
This script provides a structured and adaptive approach to detecting high-probability momentum candles in intraday markets. It dynamically adjusts pip thresholds and wick filtering conditions based on the selected symbol and timeframe, making it highly practical for real-time trading.
🔍 Concept and Originality
Momentum Candle V2 by Sekolah Trading implements a custom-built methodology combining:
Dynamic Pip Calibration
For each supported instrument (e.g., XAUUSD, USDJPY, GBPUSD, AUDUSD, EURUSD, BTCUSD), the user can define a pip threshold that determines the minimum valid body size for momentum candles. These thresholds are tailored for each pair and timeframe (M5, M15, H1), ensuring the logic adjusts to different volatility profiles.
Wick-to-Body Ratio Filtering
The script filters out candles with large wicks by requiring that total wick length (upper + lower) be no more than 30% of the full candle range. This helps identify decisive candles with minimal rejection.
Directional Validation
Bullish momentum is defined as: Close > Open with a shorter upper wick.
Bearish momentum is: Close < Open with a shorter lower wick.
Real-Time Timing Filter
Alerts are only triggered when the current candle is between 20 and 90 seconds from closing, which reduces noise and encourages confirmation-based entry.
Non-Repainting Logic
All calculations run in real-time with confirmed candles only — no lookahead or future leak.
📊 Visual Output – How to Read the Chart
When the conditions above are met, the script displays triangle markers on the chart:
🔺 Red downward triangle above the candle: valid bearish momentum signal
🔻 Blue upward triangle below the candle: valid bullish momentum signal
These shapes appear on live bars during the final moments of the candle to alert traders to potential confirmed momentum.
🔔 Alert Conditions
Two alert types are provided:
Momentum Bullish: Large bullish candle with small upper wick, during last 20–90s of bar
Momentum Bearish: Large bearish candle with small lower wick, same timing window
Alerts are designed for precision entries at candle close.
🧭 How to Use
Apply the script to a 5m, 15m, or 1h chart.
Configure pip thresholds for your preferred pairs from the input settings.
Watch for triangle markers near the close of each candle:
Blue = potential bullish momentum
Red = potential bearish momentum
Set alerts:
Go to Alerts → Select Momentum Bullish or Momentum Bearish
Frequency: Once Per Bar
Customize message: e.g. “Momentum Bullish on XAUUSD M15”
Combine signals with:
EMA, S/R, or trend filters
Volume/Order Flow
Liquidity zone or breakout context
🛡️ Why This Script Is Closed-Source
This script uses proprietary logic developed by Sekolah Trading, including:
Custom pip calibration engine
Adaptive wick filtering
Real-time entry validation with triangle plots
While the code is protected, the methodology has been explained transparently here in accordance with TradingView publishing rules.
⚠️ Disclaimer
This script is provided for educational and technical analysis purposes only.
It does not guarantee results or provide financial advice. Always verify trades with your own strategy and risk controls.
Author: Sekolah Trading
Version: Momentum Candle V2
Built with Pine Script v6
REKASHI V1.3 By Rekoo 10pips-TradeRekashi v1.3 - By Rekoo20 || 10 pips trade .
This indicator helps you to find your edges on HTF then to act on ltf .
these are simple lines based on HA candles price action .
- used for scalp on 1min frame .
- find the edges on the HTF .
- green lines are buys - red lines are sells .
- grayed lines are broken lines .
- dark blue are HTF lines ( changeable in options )
- there is an option to show Pre-london lines .
( use to scalp on LTF )
Intraday Trend Pro📈 Intraday Trend Pro — Multi-Timeframe Smart Indicator
Unlock precision in your intraday trading with Intraday Trend Pro, a powerful and versatile indicator built for serious traders. This tool is designed to:
✅ Identify the True Intraday Trend
Quickly and clearly spot bullish or bearish trends using a refined algorithm that filters out noise and false signals.
✅ Smart Entry & Stop Loss Suggestions
The script dynamically suggests optimal entry points and protective stop-loss levels, helping you manage risk and improve trade timing.
✅ Multi-Timeframe Analysis (MTF)
Enable the optional MTF mode to blend higher timeframes with the current chart for a more reliable signal confirmation, enhancing your confidence before entering a trade.
✅ Works Seamlessly Across Assets
Whether you’re trading indices like BankNifty, commodities like XAU/USD, or high-volume stocks, this indicator adjusts to deliver actionable insights.
✅ Customization Made Easy
Input controls allow you to fine-tune the trend settings, select timeframes, and adapt to your unique strategy—whether scalping or holding through the day.
Use Cases:
Confirming trend strength before entering trades
Determining accurate support/resistance for SL placement
Avoiding sideways markets and false breakouts
Aligning trades with higher timeframe momentum
Ideal For:
Intraday traders and scalpers looking for a clean, accurate, and multi-timeframe-aware tool to improve consistency.
[GalihRidha] Scalping Dashboard 5m Scalping Dashboard 5m is a practical, real-time, and user-friendly indicator designed for 5-minute intraday scalping strategies. This indicator provides clear, actionable signals along with dynamic risk management levels, all visualized in a single vertical dashboard on your chart.
Key Features:
Actionable Next Signal:
Generates a strong, easy-to-follow trading signal ("LONG" or "SHORT") every 5 minutes, based on a multi-factor algorithm (MA20/MA50 trend, RSI, price/volume strength, candle momentum, and market structure).
Dynamic TP/SL Calculation:
Automatically displays recommended Take Profit (TP) and Stop Loss (SL) price ranges, calculated from recent price action, support/resistance, and volatility (ATR).
Vertical Dashboard Layout:
Information is neatly split between "LAST SECTION" (your most recent executed signal, TP, and SL) and "NEXT SECTION" (real-time signal, recommended TP/SL, and current price). Perfectly formatted for both desktop and mobile TradingView use.
Live "Capturing" Status:
When a new signal is forming (1 minute before candle close), the dashboard shows an animated "Capturing..." status—so you always know when the indicator is preparing the next actionable trade.
Buffered Signal Logic:
Prevents “signal repainting” by ensuring that your "Last Signal" and TP/SL levels are exactly what was shown in the previous Next Signal, never the recalculated value from a new bar. This is vital for honest backtesting and live trade confidence.
Zero Lag, Mobile Ready:
Designed to be lightweight and responsive, with instant dashboard updates and no visual lag—even on slower connections or when switching timeframes.
No repaint, no lagging, pure price action + volatility logic.
How to Use:
Add to Chart
Apply the indicator to any liquid crypto or forex pair on the 5-minute (5m) timeframe.
Watch the Dashboard
1 minute before the close of each 5-minute candle, the "Next Signal" section will activate.
"Capturing..." status (with animated dots) means a new entry signal is forming.
Use the suggested Entry, TP Range, and SL for your scalping strategy.
Follow the Signal
When "Next Signal" appears, you have 1 minute to enter the trade if desired.
After the signal passes, the values are locked into the "Last Section" for reference, record-keeping, or trade management.
Mobile Friendly
The vertical format ensures the dashboard is always visible and readable on both web and mobile versions of TradingView.
No need to manually refresh or guess when a new signal is forming—just watch for "Capturing..."!
Best Practice & Tips:
For best results, use on trending or high-volume assets. Avoid low liquidity or choppy sideways markets.
Combine with your own risk management and execution strategy for maximum performance.
This dashboard is 100% Pine Script v5, fully open-source, and does not repaint. You can customize TP/SL logic or integrate with alerts for even more automation.
Why This Indicator?
Most scalping indicators provide signals, but don't show you the real, actionable context—especially in mobile or fast-moving markets.
This dashboard solves that problem by giving you everything you need for quick, clear, and confident trading—all in one place, with true buffer logic so your entries and results are always honest and reproducible.
Happy scalping and stay disciplined—let the dashboard do the heavy lifting for you! 🚀
Bimmeresty's ROCBimmeresty's ROC indicator is a custom technical analysis tool designed for day traders, particularly those employing scalping strategies on low timeframes such as the 1-minute chart. Built by @highlyrisky, this indicator combines the Rate of Change (ROC) oscillator with a Simple Moving Average (SMA) of the ROC, enhanced with customizable horizontal lines and color-coded fill zones to assist in identifying potential entry, exit, and profit-taking opportunities. The indicator visually represents momentum, trend direction, and key levels for decision-making. ROC is a momentum-based oscillator that measures the percentage change in price over a specified period. It quantifies how fast the price is moving relative to a previous price point, providing insight into the strength and speed of price movements.
The customizable horizontal lines and their fill zones serve as critical reference points for scalpers
Long Positions: When trading a long (buy) position, the Upper Inner Zone (0.5 to 1.0) is a key area for considering profit-taking. If the ROC enters this zone, it suggests that bullish momentum is becoming overextended, potentially signaling a reversal or slowdown.
Short Positions: For short (sell) positions, the Lower Inner Zone (-0.5 to -1.0) is the target for profit-taking. A ROC in this zone indicates strong bearish momentum that may be nearing exhaustion.
This indicator is also useful for exiting positions in unfavorable direction or preventing a premature close of a position (such a consolidation zone).
Follow me @highlyrisky for more trading content
Automated Scalping Signals with TP/SL Indicator [QuantAlgo]🟢 Overview
The Automated Scalping Signals with Take Profit & Stop Loss Indicator is a multi-timeframe trading system that combines market structure analysis with directional bias filtering to identify potential scalping opportunities. It detects Points of Interest (POI) including Fair Value Gaps (FVG) and Order Blocks (OB) while cross-referencing entries with higher timeframe exponential moving average positioning to create systematic entry conditions.
The indicator features adaptive timeframe calculations that automatically scale analysis periods based on your chart timeframe, maintaining consistent analytical relationships across different trading sessions. It provides integrated trade management with stop loss calculation methods, configurable risk-reward ratios, and real-time performance tracking through dashboard displays showing trade statistics, bias direction, and active position status.
This advanced system is designed for low timeframe trading, typically performing optimally on 1 to 15-minute charts across popular instruments such as OANDA:XAUUSD , CME_MINI:MES1! , CME_MINI:ES1! , CME_MINI:MNQ1! , CBOT_MINI:YM1! , CBOT_MINI:MYM1! , BYBIT:BTCUSDT.P , BYBIT:ETHUSDT.P , or any asset and timeframe of your preference.
🟢 How It Works
The indicator operates using a dual-timeframe mathematical framework where higher timeframe exponential moving averages establish directional bias through cross-over analysis, while simultaneously scanning for specific market structure patterns on the POI timeframe. The timeframe calculation engine uses multiplication factors to determine analysis periods, ensuring the bias timeframe provides trend context while the POI timeframe captures structural formations.
The structural analysis begins with FVG detection, which systematically scans price action to identify imbalances where gaps exist between consecutive candle ranges with no overlapping wicks. When such gaps are detected, the algorithm measures their size against minimum thresholds to filter out insignificant formations. Concurrently, OB recognition analyzes three-candle sequences, examining specific open/close relationships that indicate potential institutional accumulation zones. Once these structural patterns are identified, the algorithm cross-references them against the higher timeframe bias direction, creating a validation filter that only permits entries aligned with the prevailing EMA cross-over state. When price subsequently intersects these validated POI zones, entry signals generate with the system calculating entry levels at zone midpoints, then applying the selected stop loss methodology combined with the configured risk-reward ratio to determine take profit placement.
To mirror realistic trading conditions, the indicator incorporates configurable slippage calculations that account for execution differences between intended and actual fill prices. When trades reach their take profit or stop loss levels, the algorithm applies slippage adjustments that worsen the exit prices in a conservative manner - reducing take profit fills and increasing stop loss impact. This approach ensures backtesting results reflect more realistic performance expectations by accounting for spread costs, market volatility during execution, and liquidity constraints that occur in live trading environments.
It also has a performance dashboard that continuously tracks and displays comprehensive trading metrics:
1/ Bias TF / POI TF: Displays the calculated timeframes used for bias analysis and POI detection, showing the actual periods (e.g., "15m / 5m") that result from the multiplier settings to confirm proper adaptive timeframe selection
2/ Bias Direction: Shows current market trend assessment (Bullish, Bearish, or Sideways) derived from EMA cross-over analysis to indicate which trade directions align with prevailing momentum
3/ Data Processing: Indicates how many price bars have been analyzed by the system, helping users verify if complete historical data has been processed for comprehensive strategy validation
4/ Total Trades: Displays the cumulative number of completed trades plus any active positions, providing volume assessment for statistical significance of other metrics
5/ Wins/Losses: Shows the raw count of profitable versus unprofitable trades, offering immediate insight into strategy effectiveness frequency
6/ Win Rate: Reveals the percentage of successful trades, where values above 50% generally indicate effective entry timing and values below suggest strategy refinement needs
7/ Total R-Multiple: Displays cumulative risk-reward performance across all trades, with positive values demonstrating profitable system operation and negative values indicating net losses requiring analysis
8/ Average R Win/Loss: Shows average risk-reward ratios for winning and losing trades separately, where winning averages approaching the configured take profit ratio indicate minimal slippage impact while losing averages near -1.0 suggest effective stop loss execution
9/ TP Ratio / Slippage: Displays the configured take profit ratio and slippage settings with calculated performance impact, showing how execution costs affect actual versus theoretical returns
10/ Profit Factor: Calculates the ratio of total winning amounts to total losing amounts, where values above 1.5 suggest robust profitability, values between 1.0-1.5 indicate modest success, and values below 1.0 show net losses
11/ Maximum Drawdown: Tracks the largest peak-to-trough decline in R-multiple terms, with smaller negative values indicating better capital preservation and risk control during losing streaks
🟢 How to Use
Start by applying the indicator to your chart and observe its performance across different market conditions to understand how it identifies bias direction and POI formations. Then navigate to the settings panel to configure the Bias Timeframe Multiplier for trend context sensitivity and POI Timeframe Multiplier for structural analysis frequency according to your trading preference and objectives.
Next, fine-tune the EMA periods in Bias Settings to control trend detection sensitivity and select your preferred POI types based on your analytical preference. Proceed to configure your Risk Management approach by selecting from the available stop loss calculation methods and setting the Take Profit ratio that aligns with your risk tolerance and profit objectives. Complete the setup by customizing Display Settings to control table visibility and trade visualization elements, adjusting UI positioning and colors for optimal chart readability, then activate Alert Conditions for automated notifications on trade entries, exits, and bias direction changes to support systematic trade management.
🟢 Examples
OANDA:XAUUSD
CME_MINI:MES1!
CME_MINI:ES1!
CME_MINI:MNQ1!
CBOT_MINI:YM1!
BYBIT:BTCUSDT.P
BINANCE:SOLUSD
*Disclaimer: Past performance is not indicative of future results. None of our statements, claims, or signals from our indicators are intended to be financial advice. All trading involves substantial risk of loss, not just upside potential. Users are highly recommended to carefully consider their financial situation and risk tolerance before trading.
RSI Extreme Hit Tracker (Visual Enhanced + Stats)📊 Indicator Overview
🔥 RSI Extreme Hit Tracker – Visual Enhanced + Stats Edition
A high-precision momentum tracker designed for traders who want maximum insight into RSI behavior at extreme thresholds.
🧠 What It Tracks
This indicator doesn’t just alert you when RSI enters ultra-overbought or ultra-oversold zones—it actively logs, analyzes, and visualizes how price reacts during those periods.
It tracks:
- OB/OS HOLD Events: When RSI enters and stays in extreme zones for a customizable bar count
- OB/OS EXIT Events: When RSI retreats from extremes via hysteresis logic for adaptive confirmation
- Entry Alerts: Based on four modes (Basic, Cool-down, Confirmed, or Hysteresis)
- Tier Markers: Emoji-based tier tags to classify signal impact instantly on chart
- Background Tints: When OB/OS zones are active, for clear visual context
📈 Statistical Table
On every final bar, a clean table appears in the top-right corner showing:
- Count of OB/OS events (Hold & Exit)
- Total % move across all signals
- Average % move per signal
- Easy-to-skim P&L performance stats
🎛️ Configurable Features
🔄 Cool-down Periods: Prevent rapid-fire alerts after consecutive hits
🔍 Confirmed Entries: Require two-bar RSI zone confirmation before firing
🧪 Hysteresis Logic: Avoid false exits by confirming RSI decay before logging
📏 Custom Thresholds: Adjust OB/OS entry levels, exit hysteresis, and hold duration
🎨 Visual Feedback: Triangle, X-cross, and circle shapes with color-coded tier labels (🟩 🟨 🟦 🟥)
💡 Ideal Use Cases
- Reversal traders looking to time exhaustion and RSI flips
- Scalpers and momentum riders wanting sharp entry/exit maps
- Coders refining algorithms using historical signal behavior
- Analysts exploring data-driven signal statistics over time
Logarithmic Moving Average (LMA) [QuantAlgo]🟢 Overview
The Logarithmic Moving Average (LMA) uses advanced logarithmic weighting to create a dynamic trend-following indicator that prioritizes recent price action while maintaining statistical significance. Unlike traditional moving averages that use linear or exponential weights, this indicator employs logarithmic decay functions to create a more sophisticated price averaging system that adapts to market volatility and momentum conditions.
The indicator displays a smoothed signal line that oscillates around zero, with positive values indicating bullish momentum and negative values indicating bearish momentum. The signal incorporates trend quality assessment, momentum confirmation, and multiple filtering mechanisms to help traders and investors identify trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator's core innovation lies in its logarithmic weighting system, where weights are calculated using the formula: w = 1.0 / math.pow(math.log(i + steepness), 2) The steepness parameter controls how aggressively recent data is prioritized over historical data, creating a dynamic weight decay that can be fine-tuned for different trading styles. This logarithmic approach provides more nuanced weight distribution compared to exponential moving averages, offering better responsiveness while maintaining stability.
The LMA calculation combines multiple sophisticated components. First, it calculates the logarithmic weighted average of closing prices. Then it measures the slope of this average over a 10-period lookback: lmaSlope = (lma - lma ) / lma * 100 The system also incorporates trend quality assessment using R-squared correlation analysis of log-transformed prices, measuring how well the price data fits a linear trend model over the specified period.
The final signal generation uses the formula: signal = lmaSlope * (0.5 + rSquared * 0.5) which combines the LMA slope with trend quality weighting. When momentum confirmation is enabled, the indicator calculates annualized log-return momentum and applies a multiplier when the momentum direction aligns with the signal direction, strengthening confirmed signals while filtering out weak or counter-trend movements.
🟢 How to Use
1. Signal Interpretation and Threshold Zones
Positive Values (Above Zero): LMA slope indicating bullish momentum with upward price trajectory relative to logarithmic baseline
Negative Values (Below Zero): LMA slope indicating bearish momentum with downward price trajectory relative to logarithmic baseline
Zero Line Crosses: Signal transitions between bullish and bearish regimes, indicating potential trend changes
Long Entry Threshold Zone: Area above positive threshold (default 0.5) indicating confirmed bullish signals suitable for long positions
Short Entry Threshold Zone: Area below negative threshold (default -0.5) indicating confirmed bearish signals suitable for short positions
Extreme Values: Signals exceeding ±1.0 represent strong momentum conditions with higher probability of continuation
2. Momentum Confirmation and Visual Analysis
Signal Color Intensity: Gradient coloring shows signal strength, with brighter colors indicating stronger momentum
Bar Coloring: Optional price bar coloring matches signal direction for quick visual trend identification
Position Labels: Real-time position classification (Bullish/Bearish/Neutral) displayed on the latest bar
Momentum Weight Factor: When short-term log-return momentum aligns with LMA signal direction, the signal receives additional weight confirmation
Trend Quality Component: R-squared values weight the signal strength, with higher correlation indicating more reliable trend conditions
3. Examples: Preconfigured Settings
Default: Universally applicable configuration balanced for medium-term investing and general trading across multiple timeframes and asset classes.
Scalping: Highly responsive setup with shorter period and higher steepness for ultra-short-term trades on 1-15 minute charts, optimized for quick momentum shifts.
Swing Trading: Extended period with moderate steepness and increased smoothing for multi-day positions, designed to filter noise while capturing larger price swings on 1-4 hour and daily charts.
Trend Following: Maximum smoothing with lower steepness for established trend identification, generating fewer but more reliable signals optimal for daily and weekly timeframes.
Mean Reversion: Shorter period with high steepness for counter-trend strategies, more sensitive to extreme moves and reversal opportunities in ranging market conditions.
Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c)Intraday BUY/SELL & AUTO SL (5-min timeframe only) by chaitu50c
This indicator provides intraday traders with BUY/SELL reversal signals and automated SL (Stoploss) tracking, based on a 3-candle reversal block logic — designed to work exclusively on the 5-min timeframe.
Key Features:
• 3-Candle Reversal Logic — Signals are generated when a defined 3-candle reversal pattern is detected (body-close breakout).
• Current Session Only — All signals and SL lines are valid only for the current session and automatically reset at session start.
• BUY/SELL Signal Labels — Visual ▲ and ▼ labels mark valid reversal signals on the chart.
• Dynamic Auto SL Lines — Plots dashed SL lines based on the reversal block's low/high.
• SL HIT Tracking — If SL is broken, the line stops extending and a ‘SL HIT’ label is displayed at the midpoint of the SL line.
• Adjustable Visual Settings — Customize signal label size, SL line width, colors, and more.
• Clean & Lightweight — Optimized for intraday use without cluttering the chart.
How to Use:
You can trade this indicator in two ways:
1. Direct Signal Entry — Take a BUY or SELL trade when a valid ▲/▼ reversal signal forms.
2. SL HIT Re-entry — If an existing SL line is broken and ‘SL HIT’ appears, you can optionally take an opposite side trade in the direction of the SL HIT.
Example:
A BUY signal is generated and an SL line is plotted below.
If price breaks the SL (SL HIT appears), you may consider entering a SELL trade at that point — as it indicates weakness.
Important Notes:
• Works only on 5-min timeframe — Set your chart to 5-min for correct behavior.
• Designed for intraday trading — all signals and SL levels reset at session start.
• Does not carry signals between sessions.
• SL lines and HIT labels provide a clear and simple visual aid for trade management.
---
Pivot Liquidity Sweep [scalpmeister]📌 Pivot Liquidity Sweep
Scalp-oriented, liquidity sweep-based advanced signal and strategy indicator.
This indicator analyzes the price's sweeping of significant pivot levels and the subsequent breakouts to generate long/short signals based on different logics. It is sensitive to both classic sweep logic and strong reversal candles. Additionally, it visually marks liquidity gathering zones, offering excellent opportunities especially for scalp and intraday traders.
⚙️ Features and Strategy Types
🟢 Automatic Pivot Detection:
Pivot high/low levels are detected and stored based on the number of left and right bars.
🔴 Sweep Detection (Stop Hunt):
If the price violates a pivot level with a wick and closes inside, it is considered a sweep (liquidity cleaning). Strategies activate after this sweep.
🧠 5 Different Signal Styles:
SweepBreak:
It is expected that the extreme (high/low) level of the sweeping candle is broken with a close.
PivotBreak:
After the sweep, the first newly formed pivot in the trend direction is expected to break. (It is dynamically determined and drawn on the chart.)
StrongSweep:
It is sufficient if the candle following the sweep surpasses the previous candle with a single candle. No additional breakout is expected.
StrongCandle:
Strong momentum candles measured with a special RSI calculation are taken into account. It considers strong opposite-direction candles formed shortly after a pivot sweep.
ReversalCandleSweep:
Reversal candles that close in the opposite direction after a sweep (e.g., a red close on a sweep candle formed at the top or a green close at the bottom) are directly considered as signals.
📐 Technical Details:
Signals are triggered only once (triggered control).
Sweep lines (green/red), Long and Short lines (Orange)
Strong candles are filtered using an RSI-momentum-based measurement system (StrongCandle).
Sweep and breakout zones are dynamically invalidated. That is, if the zones are violated by the price, the signals and lines are automatically canceled.
🎯 Who Should Use It?
Professional traders working with liquidity zones
Scalp and intraday strategy practitioners
Those focused on stop hunts, sweeps, and reversal zones
🔔 Alert Support:
Sweep High / Low Alert
Long / Short Signal Alert
Trend Gauge [BullByte]Trend Gauge
Summary
A multi-factor trend detection indicator that aggregates EMA alignment, VWMA momentum scaling, volume spikes, ATR breakout strength, higher-timeframe confirmation, ADX-based regime filtering, and RSI pivot-divergence penalty into one normalized trend score. It also provides a confidence meter, a Δ Score momentum histogram, divergence highlights, and a compact, scalable dashboard for at-a-glance status.
________________________________________
## 1. Purpose of the Indicator
Why this was built
Traders often monitor several indicators in parallel - EMAs, volume signals, volatility breakouts, higher-timeframe trends, ADX readings, divergence alerts, etc., which can be cumbersome and sometimes contradictory. The “Trend Gauge” indicator was created to consolidate these complementary checks into a single, normalized score that reflects the prevailing market bias (bullish, bearish, or neutral) and its strength. By combining multiple inputs with an adaptive regime filter, scaling contributions by magnitude, and penalizing weakening signals (divergence), this tool aims to reduce noise, highlight genuine trend opportunities, and warn when momentum fades.
Key Design Goals
Signal Aggregation
Merged trend-following signals (EMA crossover, ATR breakout, higher-timeframe confirmation) and momentum signals (VWMA thrust, volume spikes) into a unified score that reflects directional bias more holistically.
Market Regime Awareness
Implemented an ADX-style filter to distinguish between trending and ranging markets, reducing the influence of trend signals during sideways phases to avoid false breakouts.
Magnitude-Based Scaling
Replaced binary contributions with scaled inputs: VWMA thrust and ATR breakout are weighted relative to recent averages, allowing for more nuanced score adjustments based on signal strength.
Momentum Divergence Penalty
Integrated pivot-based RSI divergence detection to slightly reduce the overall score when early signs of momentum weakening are detected, improving risk-awareness in entries.
Confidence Transparency
Added a live confidence metric that shows what percentage of enabled sub-indicators currently agree with the overall bias, making the scoring system more interpretable.
Momentum Acceleration Visualization
Plotted the change in score (Δ Score) as a histogram bar-to-bar, highlighting whether momentum is increasing, flattening, or reversing, aiding in more timely decision-making.
Compact Informational Dashboard
Presented a clean, scalable dashboard that displays each component’s status, the final score, confidence %, detected regime (Trending/Ranging), and a labeled strength gauge for quick visual assessment.
________________________________________
## 2. Why a Trader Should Use It
Main benefits and use cases
1. Unified View: Rather than juggling multiple windows or panels, this indicator delivers a single score synthesizing diverse signals.
2. Regime Filtering: In ranging markets, trend signals often generate false entries. The ADX-based regime filter automatically down-weights trend-following components, helping you avoid chasing false breakouts.
3. Nuanced Momentum & Volatility: VWMA and ATR breakout contributions are normalized by recent averages, so strong moves register strongly while smaller fluctuations are de-emphasized.
4. Early Warning of Weakening: Pivot-based RSI divergence is detected and used to slightly reduce the score when price/momentum diverges, giving a cautionary signal before a full reversal.
5. Confidence Meter: See at a glance how many sub-indicators align with the aggregated bias (e.g., “80% confidence” means 4 out of 5 components agree ). This transparency avoids black-box decisions.
6. Trend Acceleration/Deceleration View: The Δ Score histogram visualizes whether the aggregated score is rising (accelerating trend) or falling (momentum fading), supplementing the main oscillator.
7. Compact Dashboard: A corner table lists each check’s status (“Bull”, “Bear”, “Flat” or “Disabled”), plus overall Score, Confidence %, Regime, Trend Strength label, and a gauge bar. Users can scale text size (Normal, Small, Tiny) without removing elements, so the full picture remains visible even in compact layouts.
8. Customizable & Transparent: All components can be enabled/disabled and parameterized (lengths, thresholds, weights). The full Pine code is open and well-commented, letting users inspect or adapt the logic.
9. Alert-ready: Built-in alert conditions fire when the score crosses weak thresholds to bullish/bearish or returns to neutral, enabling timely notifications.
________________________________________
## 3. Component Rationale (“Why These Specific Indicators?”)
Each sub-component was chosen because it adds complementary information about trend or momentum:
1. EMA Cross
o Basic trend measure: compares a faster EMA vs. a slower EMA. Quickly reflects trend shifts but by itself can whipsaw in sideways markets.
2. VWMA Momentum
o Volume-weighted moving average change indicates momentum with volume context. By normalizing (dividing by a recent average absolute change), we capture the strength of momentum relative to recent history. This scaling prevents tiny moves from dominating and highlights genuinely strong momentum.
3. Volume Spikes
o Sudden jumps in volume combined with price movement often accompany stronger moves or reversals. A binary detection (+1 for bullish spike, -1 for bearish spike) flags high-conviction bars.
4. ATR Breakout
o Detects price breaking beyond recent highs/lows by a multiple of ATR. Measures breakout strength by how far beyond the threshold price moves relative to ATR, capped to avoid extreme outliers. This gives a volatility-contextual trend signal.
5. Higher-Timeframe EMA Alignment
o Confirms whether the shorter-term trend aligns with a higher timeframe trend. Uses request.security with lookahead_off to avoid future data. When multiple timeframes agree, confidence in direction increases.
6. ADX Regime Filter (Manual Calculation)
o Computes directional movement (+DM/–DM), smoothes via RMA, computes DI+ and DI–, then a DX and ADX-like value. If ADX ≥ threshold, market is “Trending” and trend components carry full weight; if ADX < threshold, “Ranging” mode applies a configurable weight multiplier (e.g., 0.5) to trend-based contributions, reducing false signals in sideways conditions. Volume spikes remain binary (optional behavior; can be adjusted if desired).
7. RSI Pivot-Divergence Penalty
o Uses ta.pivothigh / ta.pivotlow with a lookback to detect pivot highs/lows on price and corresponding RSI values. When price makes a higher high but RSI makes a lower high (bearish divergence), or price makes a lower low but RSI makes a higher low (bullish divergence), a divergence signal is set. Rather than flipping the trend outright, the indicator subtracts (or adds) a small penalty (configurable) from the aggregated score if it would weaken the current bias. This subtle adjustment warns of weakening momentum without overreacting to noise.
8. Confidence Meter
o Counts how many enabled components currently agree in direction with the aggregated score (i.e., component sign × score sign > 0). Displays this as a percentage. A high percentage indicates strong corroboration; a low percentage warns of mixed signals.
9. Δ Score Momentum View
o Plots the bar-to-bar change in the aggregated score (delta_score = score - score ) as a histogram. When positive, bars are drawn in green above zero; when negative, bars are drawn in red below zero. This reveals acceleration (rising Δ) or deceleration (falling Δ), supplementing the main oscillator.
10. Dashboard
• A table in the indicator pane’s top-right with 11 rows:
1. EMA Cross status
2. VWMA Momentum status
3. Volume Spike status
4. ATR Breakout status
5. Higher-Timeframe Trend status
6. Score (numeric)
7. Confidence %
8. Regime (“Trending” or “Ranging”)
9. Trend Strength label (e.g., “Weak Bullish Trend”, “Strong Bearish Trend”)
10. Gauge bar visually representing score magnitude
• All rows always present; size_opt (Normal, Small, Tiny) only changes text size via text_size, not which elements appear. This ensures full transparency.
________________________________________
## 4. What Makes This Indicator Stand Out
• Regime-Weighted Multi-Factor Score: Trend and momentum signals are adaptively weighted by market regime (trending vs. ranging) , reducing false signals.
• Magnitude Scaling: VWMA and ATR breakout contributions are normalized by recent average momentum or ATR, giving finer gradation compared to simple ±1.
• Integrated Divergence Penalty: Divergence directly adjusts the aggregated score rather than appearing as a separate subplot; this influences alerts and trend labeling in real time.
• Confidence Meter: Shows the percentage of sub-signals in agreement, providing transparency and preventing blind trust in a single metric.
• Δ Score Histogram Momentum View: A histogram highlights acceleration or deceleration of the aggregated trend score, helping detect shifts early.
• Flexible Dashboard: Always-visible component statuses and summary metrics in one place; text size scaling keeps the full picture available in cramped layouts.
• Lookahead-Safe HTF Confirmation: Uses lookahead_off so no future data is accessed from higher timeframes, avoiding repaint bias.
• Repaint Transparency: Divergence detection uses pivot functions that inherently confirm only after lookback bars; description documents this lag so users understand how and when divergence labels appear.
• Open-Source & Educational: Full, well-commented Pine v6 code is provided; users can learn from its structure: manual ADX computation, conditional plotting with series = show ? value : na, efficient use of table.new in barstate.islast, and grouped inputs with tooltips.
• Compliance-Conscious: All plots have descriptive titles; inputs use clear names; no unnamed generic “Plot” entries; manual ADX uses RMA; all request.security calls use lookahead_off. Code comments mention repaint behavior and limitations.
________________________________________
## 5. Recommended Timeframes & Tuning
• Any Timeframe: The indicator works on small (e.g., 1m) to large (daily, weekly) timeframes. However:
o On very low timeframes (<1m or tick charts), noise may produce frequent whipsaws. Consider increasing smoothing lengths, disabling certain components (e.g., volume spike if volume data noisy), or using a larger pivot lookback for divergence.
o On higher timeframes (daily, weekly), consider longer lookbacks for ATR breakout or divergence, and set Higher-Timeframe trend appropriately (e.g., 4H HTF when on 5 Min chart).
• Defaults & Experimentation: Default input values are chosen to be balanced for many liquid markets. Users should test with replay or historical analysis on their symbol/timeframe and adjust:
o ADX threshold (e.g., 20–30) based on instrument volatility.
o VWMA and ATR scaling lengths to match average volatility cycles.
o Pivot lookback for divergence: shorter for faster markets, longer for slower ones.
• Combining with Other Analysis: Use in conjunction with price action, support/resistance, candlestick patterns, order flow, or other tools as desired. The aggregated score and alerts can guide attention but should not be the sole decision-factor.
________________________________________
## 6. How Scoring and Logic Works (Step-by-Step)
1. Compute Sub-Scores
o EMA Cross: Evaluate fast EMA > slow EMA ? +1 : fast EMA < slow EMA ? -1 : 0.
o VWMA Momentum: Calculate vwma = ta.vwma(close, length), then vwma_mom = vwma - vwma . Normalize: divide by recent average absolute momentum (e.g., ta.sma(abs(vwma_mom), lookback)), clip to .
o Volume Spike: Compute vol_SMA = ta.sma(volume, len). If volume > vol_SMA * multiplier AND price moved up ≥ threshold%, assign +1; if moved down ≥ threshold%, assign -1; else 0.
o ATR Breakout: Determine recent high/low over lookback. If close > high + ATR*mult, compute distance = close - (high + ATR*mult), normalize by ATR, cap at a configured maximum. Assign positive contribution. Similarly for bearish breakout below low.
o Higher-Timeframe Trend: Use request.security(..., lookahead=barmerge.lookahead_off) to fetch HTF EMAs; assign +1 or -1 based on alignment.
2. ADX Regime Weighting
o Compute manual ADX: directional movements (+DM, –DM), smoothed via RMA, DI+ and DI–, then DX and ADX via RMA. If ADX ≥ threshold, market is considered “Trending”; otherwise “Ranging.”
o If trending, trend-based contributions (EMA, VWMA, ATR, HTF) use full weight = 1.0. If ranging, use weight = ranging_weight (e.g., 0.5) to down-weight them. Volume spike stays binary ±1 (optional to change if desired).
3. Aggregate Raw Score
o Sum weighted contributions of all enabled components. Count the number of enabled components; if zero, default count = 1 to avoid division by zero.
4. Divergence Penalty
o Detect pivot highs/lows on price and corresponding RSI values, using a lookback. When price and RSI diverge (bearish or bullish divergence), check if current raw score is in the opposing direction:
If bearish divergence (price higher high, RSI lower high) and raw score currently positive, subtract a penalty (e.g., 0.5).
If bullish divergence (price lower low, RSI higher low) and raw score currently negative, add a penalty.
o This reduces score magnitude to reflect weakening momentum, without flipping the trend outright.
5. Normalize and Smooth
o Normalized score = (raw_score / number_of_enabled_components) * 100. This yields a roughly range.
o Optional EMA smoothing of this normalized score to reduce noise.
6. Interpretation
o Sign: >0 = net bullish bias; <0 = net bearish bias; near zero = neutral.
o Magnitude Zones: Compare |score| to thresholds (Weak, Medium, Strong) to label trend strength (e.g., “Weak Bullish Trend”, “Medium Bearish Trend”, “Strong Bullish Trend”).
o Δ Score Histogram: The histogram bars from zero show change from previous bar’s score; positive bars indicate acceleration, negative bars indicate deceleration.
o Confidence: Percentage of sub-indicators aligned with the score’s sign.
o Regime: Indicates whether trend-based signals are fully weighted or down-weighted.
________________________________________
## 7. Oscillator Plot & Visualization: How to Read It
Main Score Line & Area
The oscillator plots the aggregated score as a line, with colored fill: green above zero for bullish area, red below zero for bearish area. Horizontal reference lines at ±Weak, ±Medium, and ±Strong thresholds mark zones: crossing above +Weak suggests beginning of bullish bias, above +Medium for moderate strength, above +Strong for strong trend; similarly for bearish below negative thresholds.
Δ Score Histogram
If enabled, a histogram shows score - score . When positive, bars appear in green above zero, indicating accelerating bullish momentum; when negative, bars appear in red below zero, indicating decelerating or reversing momentum. The height of each bar reflects the magnitude of change in the aggregated score from the prior bar.
Divergence Highlight Fill
If enabled, when a pivot-based divergence is confirmed:
• Bullish Divergence : fill the area below zero down to –Weak threshold in green, signaling potential reversal from bearish to bullish.
• Bearish Divergence : fill the area above zero up to +Weak threshold in red, signaling potential reversal from bullish to bearish.
These fills appear with a lag equal to pivot lookback (the number of bars needed to confirm the pivot). They do not repaint after confirmation, but users must understand this lag.
Trend Direction Label
When score crosses above or below the Weak threshold, a small label appears near the score line reading “Bullish” or “Bearish.” If the score returns within ±Weak, the label “Neutral” appears. This helps quickly identify shifts at the moment they occur.
Dashboard Panel
In the indicator pane’s top-right, a table shows:
1. EMA Cross status: “Bull”, “Bear”, “Flat”, or “Disabled”
2. VWMA Momentum status: similarly
3. Volume Spike status: “Bull”, “Bear”, “No”, or “Disabled”
4. ATR Breakout status: “Bull”, “Bear”, “No”, or “Disabled”
5. Higher-Timeframe Trend status: “Bull”, “Bear”, “Flat”, or “Disabled”
6. Score: numeric value (rounded)
7. Confidence: e.g., “80%” (colored: green for high, amber for medium, red for low)
8. Regime: “Trending” or “Ranging” (colored accordingly)
9. Trend Strength: textual label based on magnitude (e.g., “Medium Bullish Trend”)
10. Gauge: a bar of blocks representing |score|/100
All rows remain visible at all times; changing Dashboard Size only scales text size (Normal, Small, Tiny).
________________________________________
## 8. Example Usage (Illustrative Scenario)
Example: BTCUSD 5 Min
1. Setup: Add “Trend Gauge ” to your BTCUSD 5 Min chart. Defaults: EMAs (8/21), VWMA 14 with lookback 3, volume spike settings, ATR breakout 14/5, HTF = 5m (or adjust to 4H if preferred), ADX threshold 25, ranging weight 0.5, divergence RSI length 14 pivot lookback 5, penalty 0.5, smoothing length 3, thresholds Weak=20, Medium=50, Strong=80. Dashboard Size = Small.
2. Trend Onset: At some point, price breaks above recent high by ATR multiple, volume spikes upward, faster EMA crosses above slower EMA, HTF EMA also bullish, and ADX (manual) ≥ threshold → aggregated score rises above +20 (Weak threshold) into +Medium zone. Dashboard shows “Bull” for EMA, VWMA, Vol Spike, ATR, HTF; Score ~+60–+70; Confidence ~100%; Regime “Trending”; Trend Strength “Medium Bullish Trend”; Gauge ~6–7 blocks. Δ Score histogram bars are green and rising, indicating accelerating bullish momentum. Trader notes the alignment.
3. Divergence Warning: Later, price makes a slightly higher high but RSI fails to confirm (lower RSI high). Pivot lookback completes; the indicator highlights a bearish divergence fill above zero and subtracts a small penalty from the score, causing score to stall or retrace slightly. Dashboard still bullish but score dips toward +Weak. This warns the trader to tighten stops or take partial profits.
4. Trend Weakens: Score eventually crosses below +Weak back into neutral; a “Neutral” label appears, and a “Neutral Trend” alert fires if enabled. Trader exits or avoids new long entries. If score subsequently crosses below –Weak, a “Bearish” label and alert occur.
5. Customization: If the trader finds VWMA noise too frequent on this instrument, they may disable VWMA or increase lookback. If ATR breakouts are too rare, adjust ATR length or multiplier. If ADX threshold seems off, tune threshold. All these adjustments are explained in Inputs section.
6. Visualization: The screenshot shows the main score oscillator with colored areas, reference lines at ±20/50/80, Δ Score histogram bars below/above zero, divergence fill highlighting potential reversal, and the dashboard table in the top-right.
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## 9. Inputs Explanation
A concise yet clear summary of inputs helps users understand and adjust:
1. General Settings
• Theme (Dark/Light): Choose background-appropriate colors for the indicator pane.
• Dashboard Size (Normal/Small/Tiny): Scales text size only; all dashboard elements remain visible.
2. Indicator Settings
• Enable EMA Cross: Toggle on/off basic EMA alignment check.
o Fast EMA Length and Slow EMA Length: Periods for EMAs.
• Enable VWMA Momentum: Toggle VWMA momentum check.
o VWMA Length: Period for VWMA.
o VWMA Momentum Lookback: Bars to compare VWMA to measure momentum.
• Enable Volume Spike: Toggle volume spike detection.
o Volume SMA Length: Period to compute average volume.
o Volume Spike Multiplier: How many times above average volume qualifies as spike.
o Min Price Move (%): Minimum percent change in price during spike to qualify as bullish or bearish.
• Enable ATR Breakout: Toggle ATR breakout detection.
o ATR Length: Period for ATR.
o Breakout Lookback: Bars to look back for recent highs/lows.
o ATR Multiplier: Multiplier for breakout threshold.
• Enable Higher Timeframe Trend: Toggle HTF EMA alignment.
o Higher Timeframe: E.g., “5” for 5-minute when on 1-minute chart, or “60” for 5 Min when on 15m, etc. Uses lookahead_off.
• Enable ADX Regime Filter: Toggles regime-based weighting.
o ADX Length: Period for manual ADX calculation.
o ADX Threshold: Value above which market considered trending.
o Ranging Weight Multiplier: Weight applied to trend components when ADX < threshold (e.g., 0.5).
• Scale VWMA Momentum: Toggle normalization of VWMA momentum magnitude.
o VWMA Mom Scale Lookback: Period for average absolute VWMA momentum.
• Scale ATR Breakout Strength: Toggle normalization of breakout distance by ATR.
o ATR Scale Cap: Maximum multiple of ATR used for breakout strength.
• Enable Price-RSI Divergence: Toggle divergence detection.
o RSI Length for Divergence: Period for RSI.
o Pivot Lookback for Divergence: Bars on each side to identify pivot high/low.
o Divergence Penalty: Amount to subtract/add to score when divergence detected (e.g., 0.5).
3. Score Settings
• Smooth Score: Toggle EMA smoothing of normalized score.
• Score Smoothing Length: Period for smoothing EMA.
• Weak Threshold: Absolute score value under which trend is considered weak or neutral.
• Medium Threshold: Score above Weak but below Medium is moderate.
• Strong Threshold: Score above this indicates strong trend.
4. Visualization Settings
• Show Δ Score Histogram: Toggle display of the bar-to-bar change in score as a histogram. Default true.
• Show Divergence Fill: Toggle background fill highlighting confirmed divergences. Default true.
Each input has a tooltip in the code.
________________________________________
## 10. Limitations, Repaint Notes, and Disclaimers
10.1. Repaint & Lag Considerations
• Pivot-Based Divergence Lag: The divergence detection uses ta.pivothigh / ta.pivotlow with a specified lookback. By design, a pivot is only confirmed after the lookback number of bars. As a result:
o Divergence labels or fills appear with a delay equal to the pivot lookback.
o Once the pivot is confirmed and the divergence is detected, the fill/label does not repaint thereafter, but you must understand and accept this lag.
o Users should not treat divergence highlights as predictive signals without additional confirmation, because they appear after the pivot has fully formed.
• Higher-Timeframe EMA Alignment: Uses request.security(..., lookahead=barmerge.lookahead_off), so no future data from the higher timeframe is used. This avoids lookahead bias and ensures signals are based only on completed higher-timeframe bars.
• No Future Data: All calculations are designed to avoid using future information. For example, manual ADX uses RMA on past data; security calls use lookahead_off.
10.2. Market & Noise Considerations
• In very choppy or low-liquidity markets, some components (e.g., volume spikes or VWMA momentum) may be noisy. Users can disable or adjust those components’ parameters.
• On extremely low timeframes, noise may dominate; consider smoothing lengths or disabling certain features.
• On very high timeframes, pivots and breakouts occur less frequently; adjust lookbacks accordingly to avoid sparse signals.
10.3. Not a Standalone Trading System
• This is an indicator, not a complete trading strategy. It provides signals and context but does not manage entries, exits, position sizing, or risk management.
• Users must combine it with their own analysis, money management, and confirmations (e.g., price patterns, support/resistance, fundamental context).
• No guarantees: past behavior does not guarantee future performance.
10.4. Disclaimers
• Educational Purposes Only: The script is provided as-is for educational and informational purposes. It does not constitute financial, investment, or trading advice.
• Use at Your Own Risk: Trading involves risk of loss. Users should thoroughly test and use proper risk management.
• No Guarantees: The author is not responsible for trading outcomes based on this indicator.
• License: Published under Mozilla Public License 2.0; code is open for viewing and modification under MPL terms.
________________________________________
## 11. Alerts
• The indicator defines three alert conditions:
1. Bullish Trend: when the aggregated score crosses above the Weak threshold.
2. Bearish Trend: when the score crosses below the negative Weak threshold.
3. Neutral Trend: when the score returns within ±Weak after being outside.
Good luck
– BullByte
SAFE Leverage Pro x50Safe Leverage Pro x50 — Safe leverage based on timeframes
Description:
Safe Leverage Pro x50 is an indicator designed to help traders choose prudent and realistic leverage, tailored to the timeframe being traded and the asset chosen.
Based on rigorous statistical research, this indicator provides a visual recommendation of the maximum typical leverage by timeframe and automatically suggests a more conservative value (by default, half) for trading with greater peace of mind and risk control.
* The goal is not for the indicator to make decisions for you, but rather to support your pre-defined entry strategies, allowing you to clearly understand how much leverage you can use without compromising your account against normal price fluctuations.
*The indicator does not calculate based on real-time volatility or ATR, but rather relies on statistical historical patterns obtained by analyzing price behavior after entry, differentiating between average movements in long and short entries by timeframe.
Important: Before following the recommendations of this indicator, check the maximum leverage your broker or exchange allows for the asset you are trading, as it can vary significantly between platforms.
* Philosophy behind the indicator:
This project arises as a response to the simplistic discourse that condemns leverage without distinguishing nuances.
Leverage is not intrinsically bad. What is dangerous is leveraging without method, without awareness, and without risk management.
Safe Leverage Pro x50 is designed to change that narrative:
** It's not about whether or not to use leverage, but when, how much, and how to use it intelligently.
Momentum Candle by Sekolah Trading## 🔷 Introduction
**Momentum Candle by Sekolah Trading** is a proprietary price action tool that identifies high-conviction candles with large bodies and minimal wicks, based on dynamically adjusted thresholds tailored to each pair and timeframe. This script helps traders recognize moments of price acceleration that often precede breakouts, trend continuation, or sharp reversals.
---
## 🔷 What Makes This Script Unique (Originality & Utility)
Unlike traditional candle filters that rely on static size comparisons, this indicator uses:
- **Instrument-specific pip sensitivity**: Automatically detects if the pair is XAUUSD, JPY-based, or other Forex instruments.
- **Timeframe-based calibration**: Adjusts body size thresholds dynamically for 5m, 15m, 30m, and 1h.
- **Wick ratio control**: Validates only candles with short wicks (<30%), filtering indecisive moves.
- **Non-repainting logic**: Signals appear after candle close, with no future data lookahead.
This logic has been tested and refined internally by **Sekolah Trading**, designed for scalpers and intraday traders who rely on clean price action structure.
---
## 🔷 How It Works
1. **Pair & Timeframe Detection**
Adjusts `minRange` dynamically based on:
- Gold (XAUUSD), JPY pairs, or other Forex
- Timeframe: 5m to 1h
2. **Candle Structure Analysis**
- Calculates body = `abs(open - close)`
- Wick = `upper + lower shadows`
- Valid only if wick is under 30% of total candle
3. **Conditions for Signal**
- Body ≥ minRange
- Wick ≤ 30%
- Clear bullish or bearish direction
4. **Plots**
- 🔺 Blue triangle = Bullish momentum candle
- 🔻 Red triangle = Bearish momentum candle
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## 🔷 How to Use
1. **Add to any 5m–1h chart**, ideally on XAUUSD or major Forex pairs
2. **Wait for signal triangle** to appear at the close of a candle
3. Use with:
- Trend indicators (MA, Supertrend, etc.)
- Support/resistance zones
- Breakout levels
4. **Set alerts** using:
`Momentum Candle (Body)`
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## 🔷 Why This Script is Closed-Source
This indicator includes proprietary logic created by **Sekolah Trading** for professional and community use:
- Original dynamic pip sensitivity calibration
- Custom multi-condition filtering
- Non-reused, non-public logic with adaptive precision
The source is protected to prevent unauthorized duplication. However, all relevant logic and intent have been clearly explained above as required by TradingView’s House Rules.
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## 🔷 Disclaimer
This indicator does not provide financial advice or guaranteed signals. Always combine with your own analysis and risk management. Historical performance does not guarantee future results.
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## 🔷 Suggested Tags
`momentum`, `price action`, `breakout`, `forex`, `xauusd`, `jpy`, `scalping`, `candle`, `non-repainting`, `trend confirmation`
