Bull & Bear Elephant, Lead Candleds, Elephant Bars + Alerts)🔍 Bullish & Bearish Marubozu Highlighter (w/ Alerts)
This indicator detects Bullish and Bearish Marubozu candles and highlights them along with the next two candles for visual confirmation of strong directional momentum.
🔹 Key Features:
✅ Bullish Marubozu: Candle opens near its low and closes near its high → painted lime green
✅ Bearish Marubozu: Candle opens near its high and closes near its low → painted red
🎯 2-bar follow-through: The next two candles after a Marubozu are also colored to track immediate continuation
🔔 Built-in alerts: Get notified instantly when either type is detected
📌 Use Case:
Ideal for momentum traders, breakout strategies, and reversal confirmations on all timeframes. Marubozus often signal strong buying or selling pressure and can precede sharp moves.
Candlestick analysis
Engulfing Candle Money GlitchWhat It Does:
📌 Trade Entry Logic:
Bullish Entry:
Detects a bullish engulfing candle (current close ≥ previous open, and previous candle is bearish).
Confirms oversold RSI (RSI ≤ 34, or was oversold in the last 2 candles).
Triggers a long (buy) trade.
Bearish Entry:
Detects a bearish engulfing candle (current close ≤ previous open, and previous candle is bullish).
Confirms overbought RSI (RSI ≥ 66, or was overbought in the last 2 candles).
Triggers a short (sell) trade.
📌 Trade Exit Logic:
Uses ATR-based dynamic stop loss and trailing stop:
Stop loss is set to 1.5 × ATR.
A trailing stop activates once the price moves 1.0 × ATR in profit, locking in gains.
📌 Visual and Alerts:
Plots green upward triangles below bullish trade bars.
Plots red downward triangles above bearish trade bars.
Sends alerts when bullish or bearish trade conditions are met, labeled as potential "Double Bottom" or "Double Top" setups.
📈 Use Case:
Best used in reversal conditions on any timeframe, especially after overbought/oversold RSI levels, with engulfing candles as the trigger. The ATR-based trailing mechanism aims to secure profits during volatility.
optimized for a specific asset or timeframe (e.g., NQ 3–5 min)
FVG Alerts (Vortus)Fair Value Gaps (FVGs) represent price inefficiencies where buying and selling volumes are imbalanced, creating gaps between the wicks of consecutive candles. These gaps often act as magnets for price, as markets tend to "fill" these gaps before resuming their trend.
FVGs can signal potential entry or exit points, making them a valuable tool for traders looking to exploit these price inefficiencies.
OTC COT / smart money Index 2.0 COT/ Smart money Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
OTC - COT Net positions 2.0 COT Net Position Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
Volume Peak Bars 3.0Indicator highlights the range starting at the highest volume bar. Customizable to your desired time frame. High volume bars tend to give good levels of liquidity ie. Support/Resistance. This indicator follows the same idea as Opening Range Breakout theories - Break Outs of this area with retests or entries into this range tend to give good trade ideas.
OTC Seasonal forecasting tool 2.0Seasonality Forecasting Tool – Advanced Seasonal Pattern Analysis (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This script provides a structured way to analyze seasonal trends across financial markets, helping traders identify historical patterns that tend to repeat at specific times of the year. Inspired by Bernd Skorupinski’s institutional strategy, it has been refined with enhanced smoothing and customization options to improve adaptability across asset classes like commodities, forex, and indices.
👉 Core Functionality:
Analyzes historical price data over multiple lookback periods (5, 10, and 15 years) to calculate average seasonal performance.
Generates a smoothed seasonal curve that visually highlights periods of expected strength or weakness.
Allows users to customize lookback periods and adjust smoothing parameters, offering flexibility based on market type and volatility.
This tool is designed to be used as a contextual filter rather than a trade trigger—adding a layer of time-based confluence to enhance decision-making.
📊 Applied Example – Crude Oil Seasonality & Demand Zone Alignment
To demonstrate practical usage, here’s an example using Light Crude Oil Futures (CL1!) where seasonal tendencies and price structure aligned to create a high-probability setup.
Setup Steps:
1️⃣ Structural Context – Price Reaching a Demand Zone:
The market had been in a decline and approached a well-defined institutional demand area, which historically attracts buying interest.
2️⃣ Seasonality Analysis – Bullish Bias Identified:
The Seasonality Tool was applied using three distinct lookback windows:
5-year average 🟢
10-year average 🔴
15-year average 🔵
All three seasonal curves showed consistent upward trends during the late December to February period, historically signaling accumulation phases in crude oil markets.
3️⃣ Execution – Trade Setup:
With both:
Price action confirming a technical demand zone,
and seasonality indicating a strong historical bullish period,
a long position was taken targeting the next significant supply zone.
Result:
The trade unfolded as anticipated, with price rebounding strongly and delivering a risk-reward ratio of approximately 1:5.8—an outcome consistent with historical seasonal performance patterns.
⚙️ What Sets This Tool Apart:
Combines multi-timeframe seasonal data into a unified, easy-to-interpret visual output.
Includes custom smoothing algorithms to reduce noise, making the seasonal curves clearer and more reliable in fast-moving markets.
Offers flexibility to analyze not only commodities but also forex, indices, and other instruments influenced by recurring cycles (e.g., agricultural products, metals).
📌 Best Practices for Use:
Apply the tool alongside key technical zones (demand/supply) to find optimal trade timing.
Look for confluence across at least two of the seasonal curves (e.g., 5-year and 10-year averages agreeing on direction).
Use in combination with other market analysis tools—such as valuation indicators, COT data, or smart money flow—for full confirmation.
OTC valuation indicator 2.0Valuation Indicator – Relative Asset Valuation Tool (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This script is designed to analyze relative value shifts between two assets—such as Gold (GC1!) and the Dollar Index (DXY)—to identify overvalued and undervalued market conditions. It is inspired by principles from Bernd Skorupinski’s methodology but has been developed with custom adjustments and improvements to enhance flexibility and adaptability across various asset classes.
👉 How It Works:
The script calculates a normalized valuation index by measuring the percentage price deviation between a target asset (e.g., Gold) and a reference asset (e.g., Dollar Index).
A moving average baseline defines fair value, with deviations indicating potential overvaluation or undervaluation.
A volatility-adjusted filter dynamically smooths the output, reducing noise and improving signal accuracy across different market environments.
Parameters such as evaluation period and sensitivity are fully customizable, allowing traders to tailor the tool to commodities, forex, indices, or other asset pairs.
📊 Detailed Example – Gold & Dollar Index Setup:
To demonstrate how the indicator can be used, here’s an example based on a real market scenario:
Context : Identifying high-probability buy setups on Gold when undervaluation is confirmed relative to the Dollar Index.
Conditions :
1️⃣ Gold enters a significant demand zone (identified through traditional technical analysis).
2️⃣ The valuation index (from this script) drops below the -75 level, signaling strong undervaluation
In both October 2022 and October 2023, the valuation index dropped well below -75, and Gold was sitting at major demand zones. The result?
📈 Massive moves to the upside, with Risk-Reward ratios hitting 1:4 or more.
snapshot
This is a textbook Bernd Skorupinski strategy setup, combining macro fundamentals (valuation) with technical structure (demand zones).
This is not just theory — the same conditions repeated multiple times, delivering repeatable, high-probability trades.
This showcases how macro mispricing (Dollar overvalued, Gold undervalued) can be identified visually and quantitatively using the indicator, enabling traders to make more confident, data-backed entry decisions.
⚙️ What Makes It Unique:
Unlike standard correlation or spread indicators, this script combines dynamic volatility filtering with a multi-step comparative analysis to better handle market volatility and price extremes.
It offers flexible asset pairing, allowing traders to adapt the tool to various market scenarios beyond just Gold/DXY—such as Oil vs. Euro or Stocks vs. Forex.
📌 Recommended Use:
Best applied on weekly and daily charts.
Should be combined with other technical tools such as support/resistance levels or demand zones for added confirmation.
Not intended as a standalone signal; it works best as part of a broader market analysis strategy.
Strong Body Candle (80% of Range)You said:
Strong body candle 80% range
ChatGPT said:
A strong body candle with an 80% range typically refers to a candlestick on a price chart (usually used in technical analysis) where the real body of the candle (the open-to-close price movement) makes up 80% or more of the entire candle’s range (the high-to-low movement).
Breakdown:
Candle Range = High − Low
Body Size = |Close − Open|
Body-to-Range Ratio = (Body Size ÷ Candle Range) × 100
If this ratio is ≥ 80%, the candle is considered to have a strong body.
Interpretation:
A strong bullish candle: Close is near the high, open is near the low — strong buying pressure.
A strong bearish candle: Close is near the low, open is near the high — strong selling pressure.
These candles often signal momentum or trend continuation, especially when occurring after consolidation or at breakout points.
Would you like a script or formula to help detect these on a chart?
2/2
You said:
Yeh indicator banaya hai is ki description Bana ker rain publish kernrehanhun trading view per
ChatGPT said:
Great! Here's a professional and clear description you can use to publish your indicator on TradingView:
🔥 Strong Body Candle (80% Range) — Indicator Description
This indicator highlights candlesticks where the real body constitutes 80% or more of the entire candle's range (High − Low). These candles often represent strong momentum and are useful for identifying potential trend continuations, reversals, or breakout confirmations.
📌 Key Features:
✅ Detects both bullish and bearish strong body candles.
✅ Customizable threshold (default: 80%) for fine-tuning to your strategy.
✅ Visual markers make it easy to spot high-momentum candles on any timeframe.
📊 How It Works:
The script calculates the ratio of the candle's body size (|Close − Open|) to its total range (High − Low). If the ratio is equal to or above 80%, the candle is flagged:
Green Marker = Strong Bullish Candle (Close > Open)
Red Marker = Strong Bearish Candle (Open > Close)
🛠️ Use Cases:
Identify momentum shifts and breakout confirmations.
Use with support/resistance zones or trendlines for stronger signals.
Combine with volume indicators for enhanced precision.
IT F&O Basket Avg % ChangeThis indicator calculates the average daily % change of major IT sector F&O stocks. It displays the result prominently on the chart to quickly assess sector strength.
Volume Peak RectangleOutlines the 'Latest' Highest Volume Bar. Typically High Volume bars create very good support and resistance levels. This is a draw off the Opening Range Breakout theory, with the idea that high volume candles create very good upper and lower levels of liquidity zones.
BLCKBOX MACD IndicatorThis indicator is based on the standard Trading View MACD Indicator with added visual prompts to take the guess work out of buying and selling. Only use this indicator when you decide to get in or get out. Used in conjunction with "BLCKBOX Buying / Selling Sentiment" indicator.
📊 Prophet Profits SMC Scanner 2.0This scanner is jam packed with features:
Lightning Bolts - Shows Futures Market Open for Forex
Stars Show Market Open for London & NewYork
The Red Smart Candles - Based of the 15 Minute shows major liquidity zones the banks use to shift volume
The Pink candles - Show 5 minute Liquidity blocks
The EMA's help identify price direction (200 is based off the 15)
The background helps identify price direction
The Poop emoji and Cash bag show price momentum trading for swing traders
The Pinks arrows are to identify volume metrics for direction shift in orders
This scanner has a lot of customization in the settings that needs to be done in order for it to appear properly and is part of a free trading community on Telegram. If you would like to learn how to implement this strategy connect with me on social media with the same username as here.
New updates lets toggle on and off emoji indicators
AlphaPulse Luxury Suite Elite🔷 AlphaPulse Luxury Suite — Your Precision Trading Companion
AlphaPulse Luxury Suite is a premium, invite-only multi-strategy indicator designed for traders who demand actionable, real-time insights with institutional-grade clarity. This suite intelligently fuses trend detection, momentum confirmation, volume validation, and risk analytics into one seamless on-chart system.
🔍 What It Does and How It Works
AlphaPulse is more than just a mashup — it’s a unified strategy engine that combines proven trading methodologies into a cohesive decision-support tool. The system monitors real-time trend regimes, filters signal quality using momentum-volume alignment, and dynamically plots entries and exits with risk-managed precision.
✅ Core Components
🔹 Trend Regime Detection (SuperTrend Core)
Uses adaptive SuperTrend logic to identify evolving trend phases.
Gradient overlays reflect trend strength and volatility zones.
🔹 Multi-Layer Signal Confirmation
Signals only appear when momentum (MACD divergence), trend alignment (MA crossovers), and volume shifts agree.
Filters out noise and helps you stay in trades longer with confidence.
🔹 Alpha Dashboard
On-chart HUD includes metrics like:
Trend Strength Score
Momentum Status
Volatility Pressure
Signal Quality Meter
Dynamic Risk Zones
🔹 Risk/Reward Overlay
Uses ATR-based volatility logic to auto-calculate Stop Loss and Take Profit levels.
Customizable for scalpers, swing traders, and longer-term plays.
🔹 Clean Display Toggle
Switch to minimal mode with a single click — keep your chart sleek and focused.
🧠 Strategic Use Cases
AlphaPulse is ideal for:
Intraday scalping on lower timeframes
Swing entries with confirmation layers
Trend-following with risk control
Discretionary setups enhanced by confluence
⚙️ How to Trade with It
Wait for buy/sell label confirmation after confluence triggers.
Confirm with the dashboard: trend, momentum, and volume all aligned.
Use the built-in SL/TP levels or your own system.
Exit when trend weakens, volatility shifts, or opposite signal appears.
Disclaimer: This script is invite-only and does not guarantee profits. Use it as part of a disciplined, tested trading strategy.
Candle Crossing 9 & 20 SMAputs green arrow when candle crosses both 9 and 20 SMAs moving up
puts red arrow when candle cross SMAs moving down
AlgoRanger Momentum + Trend - Following//@version=5
indicator("AlgoRanger Momentum + Trend - Following", overlay=true)
startLen = input.int(20, title="Start EMA Length")
step = input.int(5, title="Step between EMAs")
maxCount = 8 // max number of EMAs
getColor(_price, _ema) =>
_price > _ema ? color.rgb(3, 203, 106) : color.rgb(255, 37, 37)
ema1 = ta.ema(close, startLen + 0 * step)
ema2 = ta.ema(close, startLen + 1 * step)
ema3 = ta.ema(close, startLen + 2 * step)
ema4 = ta.ema(close, startLen + 3 * step)
ema5 = ta.ema(close, startLen + 4 * step)
ema6 = ta.ema(close, startLen + 5 * step)
ema7 = ta.ema(close, startLen + 6 * step)
ema8 = ta.ema(close, startLen + 7 * step)
plot(ema1, color=getColor(close, ema1), linewidth=1, title="EMA 1")
plot(ema2, color=getColor(close, ema2), linewidth=1, title="EMA 2")
plot(ema3, color=getColor(close, ema3), linewidth=1, title="EMA 3")
plot(ema4, color=getColor(close, ema4), linewidth=1, title="EMA 4")
plot(ema5, color=getColor(close, ema5), linewidth=1, title="EMA 5")
plot(ema6, color=getColor(close, ema6), linewidth=1, title="EMA 6")
plot(ema7, color=getColor(close, ema7), linewidth=1, title="EMA 7")
plot(ema8, color=getColor(close, ema8), linewidth=1, title="EMA 8")
Precision Swing Point color (PSP) IndicatorPSP Quarterly Theory indicator - Anyone can see source code, if you make some improvements (true opens, ssmt.. etc) to it let me know. we are a community and should share knowledge. If i didnt believe we are all one, i wouldnt have put this script public. Credits to medic, daye, jacob
1. Blue dot: PSP in NQ
2. Red dot: PSP in ES
3. Green dot: PSP YM
4. Yellow dot: PSP more than one asset
Candle Midpoint//@version=5
indicator("Candle Midpoint", overlay=true)
// Calculate midpoint of the current candle
mid = (high + low) / 2
// Plot the midpoint
plot(mid, title="Candle Midpoint", color=color.orange, linewidth=2)
Engulfing Bar Liquidity SweepIts an indicator that sweeps liquidity before going to the opposite direction.
OI + Intraday Levels Tool for HoonMheeThis tool is designed specifically for drawing horizontal lines based on Hoonmhee trading data. It is not a complete trading strategy and does not generate any buy or sell signals.
