Advanced Darvas Box IndicatorAdvanced Darvas Box Indicator with EMA Stage Analysis and Breakout Probability.
Original author - Sumit Gupta
Modified - Ashwin Kumar
Indicatori e strategie
X HL TargetsDesigned to track and project prior interval high and low levels. It provides traders with clear reference points for potential targets, support and resistance
Key Features
Prior Interval Anchoring
At the start of each new interval, the indicator captures the previous interval’s high and low.
Current interval developing highs and lows are ignored, ensuring only completed data drives level creation.
Dynamic Extensions
Each high and low level is extended forward until price action mitigates (touches or crosses) the level.
When mitigated, the line is automatically “frozen” at the bar of contact and restyled to a subdued color.
End-of-Day Housekeeping
Optional setting allows all mitigated lines to be automatically removed at the end of each interval, keeping charts uncluttered and focused only on active untested levels.
Performance Management
User-defined limit on the number of past intervals retained ensures efficient performance and prevents chart overload.
Trading Applications
Target Mapping: Prior interval highs and lows are commonly watched areas where liquidity pools form and price often reacts.
Breakout & Reversal Signals: Monitoring if and when price mitigates these levels can help confirm breakouts or identify potential reversals.
Intraday Focus: By excluding developing highs and lows of the current session, the indicator emphasizes only proven, market-validated levels.
Clean Workspace: End-of-day deletion of mitigated lines prevents clutter and highlights only the most relevant active levels for ongoing sessions.
Previous 1 & 2 Days Closepreviosue 2 day closing price which helpt to know trend and take good entry
Fear index by Clarity ChartsFear Index – Market Sentiment Strength Meter
The Fear Index is a unique, custom-built indicator designed to visualize market sentiment shifts by highlighting periods of fear (red) and confidence (green) directly on your chart. Unlike traditional oscillators, this tool combines price action dynamics with volume intensity to detect when participants are aggressively selling or confidently buying.
How to Use:
Red spikes indicate rising fear, panic, or heavy selling pressure – potential trend reversals or breakdown signals.
Green spikes highlight confidence, strength, or accumulation – signaling possible recovery or continuation.
Best used with trend analysis, support/resistance zones, and volume confirmation for high-probability setups.
Why this is different:
Not a copy of any existing indicator – this is a brand-new formula.
Helps you anticipate market mood before major price swings.
Works across multiple timeframes and instruments (indices, stocks, crypto, forex).
Pro Tip: Combine this with EMA/Trend filters for powerful trade entries and exits.
Support the Work
If you find this indicator valuable, please boost by like, comment, and share it so I can continue creating more powerful and innovative tools for traders like you. Your support keeps this research alive!
SAR Oscillator [Bellsz]Converts Parabolic SAR into a normalized oscillator with crossover signals, gradient fills, and trend strength levels. A cleaner way to read SAR momentum. Making it easier to read momentum shifts, trend strength, and reversals directly in the sub-chart. Instead of dots on price only, this tool converts SAR dynamics into a smooth oscillator that highlights bias and turning points.
What it shows
Normalized Price Line — scaled view of price relative to SAR.
Normalized SAR Line — SAR value normalized across the high/low range.
SAR Dots — visual cue when crossovers occur (potential reversal or trend acceleration).
Gradient Fill — color-coded background for quick read of momentum direction/intensity.
Guide Levels — ±50 baseline to track trend strength and overextension.
Why use it
Converts SAR into an oscillator format, easier to compare across instruments & timeframes.
Highlights momentum shifts early (crossovers, gradient flips).
Adds structure with gradient fill and baselines, making SAR more actionable than standard dot plots.
Works as a trend bias filter or confirmation tool alongside other indicators.
Inputs
Acceleration / Increment / Maximum — adjust SAR sensitivity.
Custom Colors — choose your scheme for price, SAR, and gradients.
Best practices
Use on intraday or swing TFs as a trend bias filter.
Look for Normalized Price crossing Normalized SAR as potential entry signals.
Watch how SAR dots cluster near ±100 for exhaustion or reversal signals.
Notes
This is a visual enhancement of SAR; it does not repaint.
Combine with volume, FVGs, or session models for added context.
IBS_WickandBody_ATRIndicator Description
This indicator provides a detailed analysis of the structure and volatility of each candlestick. It is designed to help traders better understand the balance between buying and selling pressure within individual bars, as well as the short-term volatility environment.
📌 Features
Candlestick Structure Analysis
Calculates the relative percentage of the upper wick, lower wick, and real body of each candle.
Helps traders visually and numerically evaluate whether a candle is dominated by bullish, bearish, or indecisive pressure.
IBS (Intraday Bar Strength)
Computes the Intraday Bar Strength value, showing where the close is located relative to the high-low range.
A high IBS indicates strong closing near the high, while a low IBS indicates weakness near the low.
Range Measurements
Displays the candlestick range in both price units and ticks.
Useful for traders who need precise range data for scalping or range-based strategies.
ATR (Average True Range) Volatility Filter
ATR is included with a configurable period setting.
Provides a contextual measure of volatility, helping traders compare current bar size against recent market behavior.
Dynamic Chart Labels
Key values (such as wick percentages, IBS, and range) are displayed directly on the chart through dynamic labels.
This allows for quick interpretation without opening extra panels or indicators.
📈 How to Use
Add the indicator to any chart and configure the settings (ATR period, label visibility, etc.) according to your trading style.
Use wick/body ratios to spot candles with unusual buying/selling pressure.
Combine IBS with ATR to identify potential exhaustion or continuation setups.
The dynamic labels are best used on lower timeframes for scalpers, but they can also provide insights on higher timeframes for swing traders.
🔍 Practical Applications
Identify reversal candles where one wick dominates.
Measure strength of breakouts by comparing candle body % and IBS values.
Detect volatility shifts by monitoring when bar ranges deviate from the ATR baseline.
Support scalping strategies that rely on tick-based range detection.
✅ Notes
This is a standalone indicator and does not require any other script to function.
Works on all markets (stocks, futures, forex, crypto).
For best results, use in conjunction with price action analysis or your preferred trading strategy.
Monday Open [Bellsz]Plots the NY Monday range with box, High/Low, EQ, and Monday Open, then projects those levels forward by N bars. Clean weekly framing for liquidity targets and mean reversion.
Purpose
Maps the full New York Monday (00:00–23:59 NY time) and projects its High, Low, EQ (midpoint), and Monday Open forward. Use it to frame the week’s liquidity map, “magnet” levels, and mean-reversion targets with one glance.
What it draws
Monday Box — live-updating box for the NY Monday session (fill + border).
High/Low (solid lines) — locked at Monday close and optionally extended N bars.
EQ / Midline (dashed) — (High + Low) ÷ 2, extended N bars.
Monday Open (solid line) — projected from Monday’s first bar, extended N bars during Monday (temporary), then replaced by a fixed Monday-Open line at session end.
How it works
Detects NY calendar day without dayofyear and anchors to America/New_York.
Starts tracking at NY Monday 00:00; updates the box/high/low in real time.
When Monday ends, the script freezes the range and plots final H/L/EQ + Open, extending each by your chosen number of bars.
No lookahead; levels are only finalized after Monday completes.
Inputs
Extend lines (bars →) — how far to project H/L/EQ/Open into the future.
Monday Box Fill / Border — style the range box.
High/Low Line Color / Width — style Monday H & L.
EQ Line Color / Width — style midpoint.
Monday Open Color / Width — style the Monday open.
Why use this indicator
Weekly bias framing: Monday’s range often acts as the reference box for the week’s expansion.
Liquidity targeting: Equal highs/lows and EQ act as common magnet/rebalance areas.
Confluence: Combine with sessions/killzones, FVGs, order blocks, or news timing.
Best practices
Keep chart on your normal trading TF (M5–H1 for intraday, H4–D for swing).
Watch EQ taps and previous Monday H/L sweeps Tuesday–Friday.
Pair the projection length with your strategy’s average holding horizon.
Notes & limitations
All timing is NY session-based (America/New_York). If your symbol trades Sunday evening (futures/FX), Monday begins at 00:00 NY as coded.
Market holidays that shift liquidity can affect the “feel” of Monday’s range.
Works on any symbol/TF supported by TradingView. No repainting after Monday close.
🐋 Whale CareWhale Care 🐋
Indicator for detecting short signals based on the activity of large players ("whales"). Specifically designed for 5 to 15-minute timeframes.
Key Features
🎯 Clear visual signals - orange labels on the chart
📊 Signal strength histogram - measures the power of each signal
⚡ Instant alerts - notifications about large player activity
🏦 Dual filter - analyzes both banking and speculative capital
Optimal Usage
Timeframes: 5M, 10M, 15M
Markets: Stocks, forex, cryptocurrencies
Strategy: Short positions on signal appearance
Signal System
Entry: Orange "WHALE CARE" labels at price peaks
Confirmation: High histogram columns
Filter: Increased market volatility
Default Settings
Optimized for short-term trading:
Banker RSI: period 50
Hot Money: period 40
Volatility threshold: 4.0
Trader Advantages
Fast detection of large orders
Minimal signal delay
Simple visual interpretation
Customizable for individual trading style
A tool for trading decisions, not investment advice
Quantum Trading MatrixThe Quantum Trading Matrix is a sophisticated Pine Script indicator designed for TradingView that offers a comprehensive trading dashboard by combining multiple market analysis techniques in one interface. The indicator integrates price action, volume, momentum, trend detection, institutional activity, and technical oscillators to provide traders a unified perspective on the market.
At its core, the script uses fundamental market data like price (open, high, low, close) and volume to calculate various metrics. The VWAP (Volume Weighted Average Price) is a key element that helps traders understand if the price is trading above or below the average price weighted by volume, indicating market strength or weakness. The distance of the current price from the VWAP is computed as a percentage to signal how far the price has diverged from this benchmark.
Momentum is measured through a "Quantum Momentum Oscillator" derived from the difference between fast and slow exponential moving averages of price. Positive momentum signals bullish conditions while negative momentum signals bearish ones. Volume flow analysis breaks down buying versus selling pressure on each bar by observing where the close price lies within the daily range combined with volume, generating an order flow ratio. This aids in identifying if buyers or sellers dominate the market at a given time.
Trend detection involves calculating EMAs of different lengths (8, 21, and 50) and aggregating their relationships into a trend score. Scores range from strong uptrend to downtrend, providing a clear directional bias. Institutional activity is inferred by detecting volume spikes significantly above the average volume, suggesting large players might be active. A dark pool estimate provides an approximate volume figure representing hidden or off-exchange trading.
The script also identifies market structure by detecting pivot highs and lows which act as resistance and support levels, respectively. These levels offer valuable insight into potential price reversals or breakouts. The RSI (Relative Strength Index) is incorporated, including a basic divergence detection to suggest potential bull or bear reversals. Volatility is measured using the Average True Range (ATR), classifying the current volatility from low to extreme, helping traders gauge the risk environment.
All these metrics are combined into a scoring system that awards points for positive indications such as price above VWAP, positive order flow, bullish momentum, and an uptrend in EMAs. The overall score ranges from 0 to 100 and is interpreted visually with emojis: a rocket for strong bullish setups, a chart up emoji for positive bias, a balanced scale for neutral, and a chart down emoji for bearish conditions.
The indicator issues alerts based on the combination of these signals, including bullish and bearish setups when multiple criteria align favorably, volume spike alerts when abnormal volume events occur, and institutional activity alerts for high volume surges.
To use this indicator effectively, traders should first assess the trend direction indicated by the EMA-based scoring. Positive momentum and price trading above the VWAP confirm bullish bias, while the opposite suggests bearishness. Volume flow and institutional activity provide additional confirmation. Support and resistance levels derived from pivots help in planning entries and exits. The RSI and volatility readings inform traders of potential overbought or oversold conditions and market risk levels. Alerts provide timely notifications to act on significant setups.
The indicator is highly customizable, allowing users to adjust the dashboard's position, size, and color theme to suit personal preferences. Parameters such as the momentum period, volume profile bars, trend multiplier, and signal sensitivity can be fine-tuned to adapt to different markets and trading styles.
This tool requires foundational knowledge of key technical concepts such as EMAs, VWAP, ATR, RSI, and volume analysis for best utilization. For traders interested in expanding their understanding, recommended resources include the TradingView Pine Script manual, technical analysis books by John J. Murphy and Dr. Alexander Elder, and practical video tutorials focusing on volume spread analysis and institutional order flow.
Overall, the Quantum Trading Matrix™ serves as a powerful control panel for active traders, providing a multi-dimensional view of the market through combined technical indicators, helping to identify high probability trade setups and manage risk effectively.
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
M2 Global Liquidity Index - 10 Week Lead// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// @calmMonkey
// Mik3Christ3ns3n's M2 Global Liquidity Index Moved forward 10 weeks.
// M2 Money Stock for CNY+USD+EUR+JPY+GBP
//@version=6
indicator('M2 Global Liquidity Index - 10 Week Lead (4H)', overlay=false, scale=scale.left)
// Define offset in weeks
offset_weeks = 12
// Convert weeks to milliseconds (1 week = 7 days * 86400000 ms/day)
offset_ms = offset_weeks * 7 * 86400000
// --- 각 자산을 4시간봉(240분)으로 변경 ---
cnm2 = request.security("ECONOMICS:CNM2", "240", close)
cnyusd = request.security("FX_IDC:CNYUSD", "240", close)
usm2 = request.security("ECONOMICS:USM2", "240", close)
eum2 = request.security("ECONOMICS:EUM2", "240", close)
eurusd = request.security("FX:EURUSD", "240", close)
jpm2 = request.security("ECONOMICS:JPM2", "240", close)
jpyusd = request.security("FX_IDC:JPYUSD", "240", close)
gbm2 = request.security("ECONOMICS:GBM2", "240", close)
gbpusd = request.security("FX:GBPUSD", "240", close)
// --- 합산 ---
total = (cnm2 * cnyusd + usm2 + eum2 * eurusd + jpm2 * jpyusd + gbm2 * gbpusd) / 1000000000000
// Plot with the time offset (주 단위 오프셋 그대로 유지)
plot(total, color=color.yellow, linewidth=2, offset=offset_weeks * 7)
signal heads-up_Bollinger
signal heads-up_Bollinger
Overview
signal heads-up & slow-trail combines Bollinger-based entries, a predictive Heads-Up (ETA) timer, multi-level TP1–TP5 zones, and a Slow-Trail stop engine that advances gradually to protect profits. It includes compact R/R HUD output and Text/JSON alerts for entries, TP/SL hits, and predictive events.
How it Works
1) Entry Logic (Bollinger)
Modes:
Revert Cross: fade back inside the bands (mean-reversion).
Cross Threshold: momentum/breakout style.
Gating & Safety:
Optional bar-close confirmation to reduce intrabar noise.
Trade Direction gating (Long/Short only).
Per-side cooldown (min bars between entries).
Optional filters (see below).
2) Quality Filters (optional)
HTF Trend Filter: EMA slope from a higher timeframe to favor trades aligned with trend.
BB Width Filter: Require Bollinger Band width (% of price) to lie within a min–max range, avoiding dead zones or extreme noise.
3) Heads-Up (ETA Prediction)
Estimates minutes to the next event by converting price velocity to per-minute terms and projecting distance to a target:
Outside Revert (entry): time to revert from outside band toward re-entry.
Nearest Band Touch: time to touch the closest band.
Basis Cross: time to cross the SMA basis.
Spike Heads-Up: detects when band width is compressed and starting to expand with directional tilt, projecting ETA to a “breakout-ready” width.
Heads-Up is predictive, not a guarantee; it updates each bar as volatility and velocity change.
4) TP Zones (TP1–TP5)
On a new signal, the script draws a ladder of up to 5 horizontal TP levels projected from the signal bar.
Zones can expire after N bars (optional).
The HUD shows R/R to TP1–TP5 for the currently active side.
5) Slow-Trail Stop (the signature)
A “glide, don’t jerk” trailing engine that advances the stop in fractions toward a dynamic target:
Move to BE on TP1: once TP1 is touched, the engine flags BE and eases the stop toward entry (no snap).
Follow TP for SL: after higher TPs hit (e.g., TP3), the stop trails to the previous TP (TP2).
Optional Chandelier Trail: blended into the target.
Pacing & Progress:
Move by fraction (slMoveFraction, e.g., 0.33).
Respect min bars between moves and a hold after moving.
Require ATR-based progress (slMinATRProgress) so the stop only advances when price meaningfully moves.
6) Alerts & HUD
Manual alerts: alertcondition() for BUY/SELL entries.
Auto alerts: alert() for Entry / TP / SL / Heads-Up / Spike with cooldown and optional one-TP-per-bar.
Formats: Text (mobile-friendly) or JSON (for bots/webhooks); optional ZoneID tagging.
HUD: compact table showing symbol/TF, last Entry & SL, R/R to TP1–TP5, alert mode, MaxHit per side, and color-coded HU/Spike lines (NOW / ~Xm).
Key Inputs (high level)
Strategy: Trade Direction, Entry Strategy.
Bollinger: Length, Multiplier.
Filters: HTF EMA slope (TF & length), BB width min/max %.
Stops: Mode (ATR× / Percent / Points), ATR length/mult, Slow-Trail pacing (fraction, min bars, ATR progress, hold), Move to BE on TP1, Follow TP for SL, optional Chandelier.
TP Zones: size multiplier, colors, label side/offset, expiry.
Heads-Up: lookahead minutes, velocity length, HU mode, compression threshold, slope length, directional tilt, NOW/SOON thresholds.
Alerts: manual/auto, JSON vs Text, cooldown, strict-touch, min bars between entries, ZoneID.
How to Use (step-by-step)
Attach & Name
Add the script and keep your preferred signal … title. The short name appears on the chart.
Pick Entry Style
Revert Cross for mean-reversion around bands.
Cross Threshold for momentum continuation.
Choose Risk Basis
Use ATR 14 × 1.5–2.0 as a sensible SL baseline. Enable Move SL→BE on TP1 and Follow TP for progressive protection. Keep slMoveFraction ≈ 0.3 to glide.
Tune Heads-Up
Start with Lookahead = 10 min, Velocity length = 14.
Mode Nearest Band Touch is a solid general default.
Keep Spike Heads-Up on to catch compress-then-expand phases.
Enable Filters (optional)
HTF EMA slope when you want trend alignment (e.g., HTF=60, EMA=50).
BB width filter to skip dead sessions or hyper-chop.
Set TP Ladder
Keep the default zone size multiplier; adjust if your instrument’s range is larger/smaller.
Use zone expiry to avoid stale ladders.
Create Alerts (TradingView)
Choose “Any alert() function call” and Once Per Bar Close if you use close-confirmation.
Pick JSON if you integrate with bots/webhooks; otherwise Text is phone-friendly.
Use cooldown and one-TP-per-bar to reduce noise.
Operate
Watch the HUD: HU line shows BUY/SELL NOW / ~Xm; Spike line hints imminent expansion.
When a signal triggers, TP1–TP5 draw and the Slow-Trail begins pacing the stop forward as price progresses.
Pivot Matrix & Multi-Timeframe Support-Resistance Analytics________________________________________
📘 Study Material for Pivot Matrix & Multi Timeframe Support-Resistance Analytics
(By aiTrendview — Educational Use Only)
________________________________________
🎯 Introduction
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics indicator is designed to help traders visualize pivot points, support/resistance levels, VWAP, and volume flow analytics all in one place. Rather than giving explicit buy/sell calls, the dashboard provides reference insights so a learner may understand how different technical levels interact in real time.
This document explains its functionality step by step with formulas and usage guides.
________________________________________
1️⃣ Pivot System Logic
Pivot points are classic tools for mapping market support and resistance levels.
✦ How Calculated?
Using the Traditional Method:
• Pivot Point (PP):
PP=Highprev+Lowprev+Closeprev3PP = \frac{High_{prev} + Low_{prev} + Close_{prev}}{3}PP=3Highprev+Lowprev+Closeprev
• First Support/Resistance:
R1=2×PP−Lowprev,S1=2×PP−HighprevR1 = 2 \times PP - Low_{prev}, \quad S1 = 2 \times PP - High_{prev}R1=2×PP−Lowprev,S1=2×PP−Highprev
• Second Support/Resistance:
R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)R2 = PP + (High_{prev} - Low_{prev}), \quad S2 = PP - (High_{prev} - Low_{prev})R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)
• Third Levels:
R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)R3 = High_{prev} + 2 \times (PP - Low_{prev}), \quad S3 = Low_{prev} - 2 \times (High_{prev} - PP)R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)
• Similarly, R4/R5 and S4/S5 are extrapolated from extended range multipliers.
✦ How Used?
• Price above PP → bullish control bias.
• Price below PP → bearish control bias.
• R1–R5 levels act as resistances; S1–S5 act as supports.
Learners should watch how candles behave when approaching R/S zones to spot breakout vs. rejection conditions.
________________________________________
2️⃣ Multi Timeframe Logic
The indicator allows using daily-based pivot values (via request.security). This ensures alignment with institutional daily levels, not just intraday recalculations.
✦ Teaching Value
Understanding MTF pivots shows how markets respect higher timeframe levels (daily > intraday, weekly > daily). This helps learners grasp nested support-resistance structures.
________________________________________
3️⃣ VWAP (Volume Weighted Average Price)
Formula:
VWAPt=∑(Pricei×Volumei)∑(Volumei),Pricei=High+Low+Close3VWAP_t = \frac{\sum (Price_i \times Volume_i)}{\sum (Volume_i)}, \quad Price_i = \frac{High + Low + Close}{3}VWAPt=∑(Volumei)∑(Pricei×Volumei),Pricei=3High+Low+Close
Usage:
• VWAP is used as an institutional benchmark of fair value.
• Above VWAP = bullish flow.
• Below VWAP = bearish flow.
Learners should check whether price respects VWAP as a magnet or uses it as support/resistance.
________________________________________
4️⃣ Volume Flow Analysis
The script classifies buy volume, sell volume, and neutral volume.
• Buy Volume = if close > open.
• Sell Volume = if close < open.
• Neutral Volume = if close = open.
For daily tracking:
Buy%=DayBuyVolDayTotalVol×100,Sell%=DaySellVolDayTotalVol×100Buy\% = \frac{DayBuyVol}{DayTotalVol} \times 100, \quad Sell\% = \frac{DaySellVol}{DayTotalVol} \times 100Buy%=DayTotalVolDayBuyVol×100,Sell%=DayTotalVolDaySellVol×100
Usage for Learners:
• Dominant Buy% → accumulation/ bullish pressure.
• Dominant Sell% → distribution/ bearish pressure.
• Balanced → sideways liquidity building.
This teaches observation of order flow bias rather than relying only on price.
________________________________________
5️⃣ Dashboard Progress Bars & Colors
The script uses visual progress bars and dynamic colors for clarity. For example:
• VWAP Backgrounds: Green shades when price strongly above VWAP, Red when below.
• Volume Bars: More green blocks mean buying dominance, red means selling pressure.
This visual design turns concepts into easy-to-digest cues, useful for training.
________________________________________
6️⃣ Market Status Summary
Finally, the dashboard synthesizes all data points:
• Price vs Pivot (above or below).
• Price vs VWAP (above or below).
• Volume Pressure (buy side vs sell side).
Status Rule:
• If all three align bullish → Status box turns green.
• If mixed → Neutral grey.
• If bearish dominance → weaker tone.
Why Important?
This teaches learners that market conditions should align in confluence across indicators before confidence arises.
________________________________________
⚠️ Strict Disclaimer (aiTrendview)
The Pivot Matrix & Multi Timeframe Support-Resistance Analytics tool is developed by aiTrendview for strictly educational and research purposes.
❌ It does NOT provide buy/sell recommendations.
❌ It does NOT guarantee profits.
❌ Unauthorized use, copying, or redistribution of this code is prohibited.
⚠️ Trading Risk Warning:
• Trading involves high risk of financial loss.
• You may lose more than your capital.
• Past levels and indicators do not predict future outcomes.
This tool must be viewed as a visual education aid to practice technical analysis skills, not as trading advice.
________________________________________
✅ Now you have a step by step study guide:
• Pivot calculations explained
• VWAP with logic
• Volume breakdown
• Visual analytics
• Status confluence logic
• Disclaimer for compliance
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
Lumiere’s Indicator BundleThe Lumiere’s Indicator Bundle combines three of Lumiere’s most used tools into one script:
🔹 BOS Mark-out – Marks Breaks of Structure with clear bullish/bearish levels and optional alerts.
🔹 Liquidity Mark-ou t – Draws significant swing highs/lows and automatically removes them once swept.
🔹 Trading Session High/Low – Tracks Asia, London, and New York session ranges with customizable timezone.
Why this bundle?
I made this bundle so everyone can run all my indicators at once without having to pick and choose between them or worry about chart space limits.
Instead of loading 3 separate indicators, this package gives you everything in one place. You can toggle each module (BOS, Liquidity, Sessions) on or off from the settings. All inputs are kept clean and organized in their own sections for easy adjustments.
What to expect
BOS lines always plotted on top for maximum clarity.
Liquidity highs/lows update in real time and get removed when taken out.
Session ranges show the active session’s high/low and can mark sweeps after the session closes.
Default timezone is New York (UTC-4), but you can switch to any TradingView-supported timezone.
BOS alerts are included, so you’ll never miss a structural break.
DYNAMIC TRADING DASHBOARDStudy Material for the "Dynamic Trading Dashboard"
This Dynamic Trading Dashboard is designed as an educational tool within the TradingView environment. It compiles commonly used market indicators and analytical methods into one visual interface so that traders and learners can see relationships between indicators and price action. Understanding these indicators, step by step, can help traders develop discipline, improve technical analysis skills, and build strategies. Below is a detailed explanation of each module.
________________________________________
1. Price and Daily Reference Points
The dashboard displays the current price, along with percentage change compared to the day’s opening price. It also highlights whether the price is moving upward or downward using directional symbols. Alongside, it tracks daily high, low, open, and daily range.
For traders, daily levels provide valuable reference points. The daily high and low are considered intraday support and resistance, while the median price of the day often acts as a pivot level for mean reversion traders. Monitoring these helps learners see how price oscillates within daily ranges.
________________________________________
2. VWAP (Volume Weighted Average Price)
VWAP is calculated as a cumulative average price weighted by volume. The dashboard compares the current price with VWAP, showing whether the market is trading above or below it.
For traders, VWAP is often a guide for institutional order flow. Price trading above VWAP suggests bullish sentiment, while trading below VWAP indicates bearish sentiment. Learners can use VWAP as a training tool to recognize trend-following vs. mean reversion setups.
________________________________________
3. Volume Analysis
The system distinguishes between buy volume (when the closing price is higher than the open) and sell volume (when the closing price is lower than the open). A progress bar highlights the ratio of buying vs. selling activity in percentage.
This is useful because volume confirms price action. For instance, if prices rise but sell volume dominates, it can signal weakness. New traders learning with this tool should focus on how volume often precedes price reversals and trends.
________________________________________
4. RSI (Relative Strength Index)
RSI is a momentum oscillator that measures price strength on a scale from 0 to 100. The dashboard classifies RSI readings into overbought (>70), oversold (<30), or neutral zones and adds visual progress bars.
RSI helps learners understand momentum shifts. During training, one should notice how trending markets can keep RSI extended for longer periods (not immediate reversal signals), while range-bound markets react more sharply to RSI extremes. It is an excellent tool for practicing trend vs. range identification.
________________________________________
5. MACD (Moving Average Convergence Divergence)
The MACD indicator involves a fast EMA, slow EMA, and signal line, with focus on crossovers. The dashboard shows whether a “bullish cross” (MACD above signal line) or “bearish cross” (MACD below signal line) has occurred.
MACD teaches traders to identify trend momentum shifts and divergence. During practice, traders can explore how MACD signals align with VWAP trends or RSI levels, which helps in building a structured multi-indicator analysis.
________________________________________
6. Stochastic Oscillator
This indicator compares the current close relative to a range of highs and lows over a period. Displayed values oscillate between 0 and 100, marking zones of overbought (>80) and oversold (<20).
Stochastics are useful for students of trading to recognize short-term momentum changes. Unlike RSI, it reacts faster to price volatility, so false signals are common. Part of the training exercise can be to observe how stochastic “flips” can align with volume surges or daily range endpoints.
________________________________________
7. Trend & Momentum Classification
The dashboard adds simple labels for trend (uptrend, downtrend, neutral) based on RSI thresholds. Additionally, it provides quick momentum classification (“bullish hold”, “bearish hold”, or neutral).
This is beneficial for beginners as it introduces structured thinking: differentiating long-term market bias (trend) from short-term directional momentum. By combining both, traders can practice filtering signals instead of trading randomly.
________________________________________
8. Accumulation / Distribution Bias
Based on RSI levels, the script generates simplified tags such as “Accumulate Long”, “Accumulate Short”, or “Wait”.
This is purely an interpretive guide, helping learners think in terms of accumulation phases (when markets are low) and distribution phases (when markets are high). It reinforces the concept that trading is not only directional but also involves timing.
________________________________________
9. Overall Market Status and Score
Finally, the dashboard compiles multiple indicators (VWAP position, RSI, MACD, Stochastics, and price vs. median levels) into a Market Score expressed as a percentage. It also labels the market as Overbought, Oversold, or Normal.
This scoring system isn’t a recommendation but a learning framework. Students can analyze how combining different indicators improves decision-making. The key training focus here is confluence: not depending on one indicator but observing when several conditions align.
Extended Study Material with Formulas
________________________________________
1. Daily Reference Levels (High, Low, Open, Median, Range)
• Day High (H): Maximum price of the session.
DayHigh=max(Hightoday)DayHigh=max(Hightoday)
• Day Low (L): Minimum price of the session.
DayLow=min(Lowtoday)DayLow=min(Lowtoday)
• Day Open (O): Opening price of the session.
DayOpen=OpentodayDayOpen=Opentoday
• Day Range:
Range=DayHigh−DayLowRange=DayHigh−DayLow
• Median: Mid-point between high and low.
Median=DayHigh+DayLow2Median=2DayHigh+DayLow
These act as intraday guideposts for seeing how far the price has stretched from its key reference levels.
________________________________________
2. VWAP (Volume Weighted Average Price)
VWAP considers both price and volume for a weighted average:
VWAPt=∑i=1t(Pricei×Volumei)∑i=1tVolumeiVWAPt=∑i=1tVolumei∑i=1t(Pricei×Volumei)
Here, Price_i can be the average price (High + Low + Close) ÷ 3, also known as hlc3.
• Interpretation: Price above VWAP = bullish bias; Price below = bearish bias.
________________________________________
3. Volume Buy/Sell Analysis
The dashboard splits total volume into buy volume and sell volume based on candle type.
• Buy Volume:
BuyVol=Volumeif Close > Open, else 0BuyVol=Volumeif Close > Open, else 0
• Sell Volume:
SellVol=Volumeif Close < Open, else 0SellVol=Volumeif Close < Open, else 0
• Buy Ratio (%):
VolumeRatio=BuyVolBuyVol+SellVol×100VolumeRatio=BuyVol+SellVolBuyVol×100
This helps traders gauge who is in control during a session—buyers or sellers.
________________________________________
4. RSI (Relative Strength Index)
RSI measures strength of momentum by comparing gains vs. losses.
Step 1: Compute average gains (AG) and losses (AL).
AG=Average of Upward Closes over N periodsAG=Average of Upward Closes over N periodsAL=Average of Downward Closes over N periodsAL=Average of Downward Closes over N periods
Step 2: Calculate relative strength (RS).
RS=AGALRS=ALAG
Step 3: RSI formula.
RSI=100−1001+RSRSI=100−1+RS100
• Used to detect overbought (>70), oversold (<30), or neutral momentum zones.
________________________________________
5. MACD (Moving Average Convergence Divergence)
• Fast EMA:
EMAfast=EMA(Close,length=fast)EMAfast=EMA(Close,length=fast)
• Slow EMA:
EMAslow=EMA(Close,length=slow)EMAslow=EMA(Close,length=slow)
• MACD Line:
MACD=EMAfast−EMAslowMACD=EMAfast−EMAslow
• Signal Line:
Signal=EMA(MACD,length=signal)Signal=EMA(MACD,length=signal)
• Histogram:
Histogram=MACD−SignalHistogram=MACD−Signal
Crossovers between MACD and Signal are used in studying bullish/bearish phases.
________________________________________
6. Stochastic Oscillator
Stochastic compares the current close against a range of highs and lows.
%K=Close−LowestLowHighestHigh−LowestLow×100%K=HighestHigh−LowestLowClose−LowestLow×100
Where LowestLow and HighestHigh are the lowest and highest values over N periods.
The %D line is a smooth version of %K (using a moving average).
%D=SMA(%K,smooth)%D=SMA(%K,smooth)
• Values above 80 = overbought; below 20 = oversold.
________________________________________
7. Trend and Momentum Classification
This dashboard generates simplified trend/momentum logic using RSI.
• Trend:
• RSI < 40 → Downtrend
• RSI > 60 → Uptrend
• In Between → Neutral
• Momentum Bias:
• RSI > 70 → Bullish Hold
• RSI < 30 → Bearish Hold
• Otherwise Neutral
This is not predictive, only a classification framework for educational use.
________________________________________
8. Accumulation/Distribution Bias
Based on extreme RSI values:
• RSI < 25 → Accumulate Long Bias
• RSI > 80 → Accumulate Short Bias
• Else → Wait/No Action
This helps learners understand the idea of accumulation at lows (strength building) and distribution at highs (profit booking).
________________________________________
9. Overall Market Status and Score
The tool adds up 5 bullish conditions:
1. Price above VWAP
2. RSI > 50
3. MACD > Signal
4. Stochastic > 50
5. Price above Daily Median
BullishScore=ConditionsMet5×100BullishScore=5ConditionsMet×100
Then it categorizes the market:
• RSI > 70 or Stoch > 80 → Overbought
• RSI < 30 or Stoch < 20 → Oversold
• Else → Normal
This encourages learners to think in terms of probabilistic conditions instead of single-indicator signals.
________________________________________
⚠️ Warning:
• Trading financial markets involves substantial risk.
• You can lose more money than you invest.
• Past performance of indicators does not guarantee future results.
• This script must not be copied, resold, or republished without authorization from aiTrendview.
By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice.
________________________________________
⚠️ Disclaimer and Warning (From aiTrendview)
This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment.
The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
ابوفيصل 15
The Traders Trend Dashboard (ابو فيصل 15) is a comprehensive trend analysis tool designed to assist traders in making informed trading decisions across various markets and timeframes. Unlike
X D HL MitigationDesigned to track and project prior day high and low levels into the current trading session. It provides traders with reference points for potential support and resistance without being distorted by the unfinished intraday range of the active day.
Key Features
Prior-Day Anchoring
At the start of each new trading day, the indicator captures the previous day’s high and low.
Current-day developing highs and lows are ignored, ensuring only completed data drives level creation.
Dynamic Extensions
Each high and low level is extended forward intraday until price action mitigates (touches or crosses) the level.
When mitigated, the line is automatically “frozen” at the bar of contact and restyled to a new color.
This makes it easy to distinguish which historical levels remain active versus which have already been resolved by price.
End-of-Day Housekeeping
Optional setting allows all mitigated lines to be automatically removed at the end of each trading day, keeping charts uncluttered and focused only on active levels.
Trading Applications
Support & Resistance Mapping: Prior-day highs and lows are commonly watched areas where liquidity pools form and price often reacts.
Breakout & Reversal Signals: Monitoring if and when price mitigates these levels can help confirm breakouts or identify potential reversals.
Intraday Focus: By excluding developing highs and lows of the current session, the indicator emphasizes only proven, market-validated levels.
TFX Daily BiasThis indicator provides a clear view of overall market bias by comparing higher and lower timeframe trends.
When both trends align, the background highlights the bias:
- Green background = Bullish bias
- Red background = Bearish bias
- No background = Neutral bias
Along with this, a compact dashboard is displayed on the chart showing the current bias status (Bullish, Bearish, or Neutral).
Key Features:
- Multi-timeframe bias detection for stronger confirmation.
- Background color highlighting for instant visual recognition.
- Simple dashboard to track current bias at a glance.
- Optional alerts to notify when bias shifts.
- Mainly designed for intraday traders who want quick confirmation of market direction.
This tool is meant to simplify analysis by giving you a structured view of bias across timeframes. It does not provide direct buy/sell signals but supports better trading decisions through clarity and consistency.
Marcus Dual + VolDiv — Scalp-(Strategy)_1min[by Irum]VWAP·MTF ADX·Impulse → Filtering weak/fake breakouts, suppressing high price chasing.Cooldown + Fail Cut → Suppressing cluster entry/immediate reversal losses.Scalp Mode (default ON) → Automatic adjustment of length/buffer/divergence sensitivity tailored for 1-minute.OBV Divergence + Sweep/Reclaim → Precision targeting only long at the bottom/short at the top.Immediate use preset (1 minute)scalpMode=ON, useVWAP=ON, minImpulse=0.8~1.0, volExpMult=1.8~2.2Too many signals → Increase effBreakLen(=breakLen), set effBufATR to 0.40, cooldownBars to 30, adxTrendThr to +2.Too few opportunities → Set effBreakLen to 35, effBufATR to 0.30, minImpulse to 0.7, volExpMult to 1.6.
ابوفيصل1اضافه قناء السعرية
The Traders Trend Dashboard (ابو فيصل) is a comprehensive trend analysis tool designed to assist traders in making informed trading decisions across various markets and timeframes. Unlike conventional trend-following scripts, ابو فيصل goes beyond simple trend detection by incorporating
MTF RSI + ADX + ATR SL/TP vivekDescription:
This strategy combines the power of multi-timeframe RSI filtering with ADX trend confirmation and ATR-based risk management to capture strong directional moves.
🔑 Entry Rules:
• Daily RSI > 60
• 4H RSI > 60
• 1H RSI > 60
• 10m RSI > 40
• ADX (current timeframe) > 20
When all conditions align, a long entry is triggered.
🛡 Risk Management:
• ATR-based Stop-Loss (customizable multiplier)
• Take-Profit defined as a Risk-Reward multiple of the ATR stop
🎯 Why this Strategy?
• Ensures alignment across higher timeframes before entering a trade
• Uses ADX to avoid choppy/range-bound markets
• Built-in ATR stop-loss & take-profit for disciplined risk control
• Fully customizable parameters
This strategy is designed for trend-following swing entries. It works best on liquid instruments such as indices, forex pairs, and large-cap stocks. Always optimize the parameters based on your preferred asset and timeframe.
Marcus Donchian + Volume Divergence — Indicator v2//@version=5
indicator("Marcus Donchian + Volume Divergence — Indicator v2", shorttitle="Marcus DV-Ind v2", overlay=true)
// ── Inputs
trendTF = input.timeframe("60", "Trend TF for EMA (상위TF)")
emaLen = input.int(200, "Trend EMA Length", minval=1)
emaSlopeBars = input.int(3, "EMA slope bars (HTF)", minval=1)
breakLen = input.int(50, "Donchian Lookback", minval=2)
sweepLen = input.int(30, "Sweep lookback (Reversal)", minval=3)
atrLen = input.int(14, "ATR Length", minval=1)
breakBufATR = input.float(0.30, "ATR buffer for channel (+/−)", step=0.05)
useADX = input.bool(true, "Use ADX filter?")
adxLen = input.int(14, "ADX Length", minval=1)
adxTrendThr = input.int(28, "Trend ADX ≥", minval=1, maxval=100)
adxRangeMax = input.int(22, "Range ADX ≤", minval=1, maxval=100)
useVolFilter = input.bool(true, "Use volatility filter (ATR%)")
atrMinPct = input.float(0.18, "Min ATR% of price", step=0.01)
useDivFilter = input.bool(true, "Use Volume Divergence filter/confirm?")
pvLen = input.int(5, "Pivot L/R bars (divergence)", minval=2)
divConfirmBars = input.int(30, "Divergence confirm window (bars)", minval=5)
volLen = input.int(20, "Volume MA length")
volExpMult = input.float(1.5, "Volume expansion ×MA", step=0.1)
distZLimitBO = input.float(1.5, "Max |Z| for Trend breakout (ATR)", step=0.1) // 과열 돌파 금지
distZRev = input.float(2.0, "Min |Z| for Reversal (ATR)", step=0.1) // 충분한 할인/프리미엄
allowLongs = input.bool(true, "Enable Longs", inline="SIDE")
allowShorts = input.bool(true, "Enable Shorts", inline="SIDE")
enableTrend = input.bool(true, "Enable Trend (breakout)")
enableRev = input.bool(true, "Enable Reversal (sweep+reclaim)")
// ── Wilder ADX (ta.adx 미탑재 방어)
adxWilder(len) =>
up = ta.change(high)
down = -ta.change(low)
plusDM = (up > down and up > 0) ? up : 0.0
minusDM = (down > up and down > 0) ? down : 0.0
tr_ = math.max(high - low, math.max(math.abs(high - close ), math.abs(low - close )))
smTR = ta.rma(tr_, len)
smPDM = ta.rma(plusDM, len)
smMDM = ta.rma(minusDM, len)
plusDI = 100 * smPDM / smTR
minusDI = 100 * smMDM / smTR
dx = 100 * math.abs(plusDI - minusDI) / math.max(plusDI + minusDI, 1e-10)
ta.rma(dx, len)
// ── Calculations
trendEMA = request.security(syminfo.tickerid, trendTF, ta.ema(close, emaLen))
emaSlope = trendEMA - trendEMA
upper = ta.highest(high, breakLen)
lower = ta.lowest(low, breakLen)
atr = ta.atr(atrLen)
buf = atr * breakBufATR
atrPct = (atr / close) * 100.0
adxVal = adxWilder(adxLen)
Z = (close - trendEMA) / math.max(atr, 1e-10)
// ── OBV & Volume expansion
obvStep = close > close ? volume : close < close ? -volume : 0.0
obv = ta.cum(obvStep)
volMA = ta.sma(volume, volLen)
volExp = volume >= volExpMult * volMA
// ── Pivot-based divergence (모든 상태변수 단일 선언: 재발 방지)
ph = ta.pivothigh(high, pvLen, pvLen) // 확정되면 pvLen 바 전에 찍힘
pl = ta.pivotlow(low, pvLen, pvLen)
var float ph_price_last = na
var float ph_price_prev = na
var float ph_obv_last = na
var float ph_obv_prev = na
var float pl_price_last = na
var float pl_price_prev = na
var float pl_obv_last = na
var float pl_obv_prev = na
if not na(ph)
ph_price_prev := ph_price_last
ph_obv_prev := ph_obv_last
ph_price_last := ph
ph_obv_last := obv // 피벗 바의 OBV
if not na(pl)
pl_price_prev := pl_price_last
pl_obv_prev := pl_obv_last
pl_price_last := pl
pl_obv_last := obv
// 다이버전스 정의
bearDiv = not na(ph_price_prev) and not na(ph_price_last) and (ph_price_last > ph_price_prev) and (ph_obv_last < ph_obv_prev)
bullDiv = not na(pl_price_prev) and not na(pl_price_last) and (pl_price_last < pl_price_prev) and (pl_obv_last > pl_obv_prev)
// 최근 N봉 내 다이버전스 존재?
bearDivRecent = not useDivFilter ? true : (nz(ta.barssince(bearDiv), 1e9) <= divConfirmBars)
bullDivRecent = not useDivFilter ? true : (nz(ta.barssince(bullDiv), 1e9) <= divConfirmBars)
// ── Regime predicates (원자 변수화)
trendStrong = (not useADX) or (adxVal >= adxTrendThr)
rangeLike = (not useADX) or (adxVal <= adxRangeMax)
volOK = (not useVolFilter) or (atrPct >= atrMinPct)
slopeUp = emaSlope > 0
slopeDn = emaSlope < 0
// ── Donchian Breakout (Trend) + 과열(Z) + 거래량 확장 + 역다이버전스 차단
boLong_raw = enableTrend and allowLongs and trendStrong and slopeUp and (Z < distZLimitBO) and ta.crossover(close, upper + buf)
boShort_raw = enableTrend and allowShorts and trendStrong and slopeDn and (Z > -distZLimitBO) and ta.crossunder(close, lower - buf)
boLong = boLong_raw and (not useDivFilter or (volExp and not bearDivRecent))
boShort = boShort_raw and (not useDivFilter or (volExp and not bullDivRecent))
// ── Reversal: sweep & reclaim + Z 임계 + 저 ADX + 다이버전스 확증
sweptLow = low < ta.lowest(low, sweepLen)
sweptHigh = high > ta.highest(high, sweepLen)
reclaimL = close > (lower + buf)
reclaimS = close < (upper - buf)
discOK = Z <= -distZRev
premOK = Z >= distZRev
revLong = enableRev and allowLongs and rangeLike and discOK and sweptLow and reclaimL and (not useDivFilter or bullDivRecent)
revShort = enableRev and allowShorts and rangeLike and premOK and sweptHigh and reclaimS and (not useDivFilter or bearDivRecent)
// ── Final Signals + 변동성 필터
openLongTrend = volOK and boLong
openShortTrend = volOK and boShort
openLongRev = volOK and revLong
openShortRev = volOK and revShort
// ── Alert conditions (웹훅 없음)
alertcondition(openLongTrend, "Open Long (Trend)", "Open Long (Trend breakout)")
alertcondition(openShortTrend, "Open Short (Trend)", "Open Short (Trend breakout)")
alertcondition(openLongRev, "Open Long (Reversal)", "Open Long (Reversal reclaim)")
alertcondition(openShortRev, "Open Short (Reversal)","Open Short (Reversal reject)")
// ── Plots
plot(trendEMA, "Trend EMA (HTF)", color=color.new(color.orange, 0), linewidth=2)
plot(upper, "Donchian Upper", color=color.new(color.blue, 0))
plot(lower, "Donchian Lower", color=color.new(color.blue, 0))
plotshape(boLong, title="BO Long", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime,0), size=size.tiny, text="BO L")
plotshape(boShort, title="BO Short", style=shape.triangledown, location=location.abovebar, color=color.new(color.red ,0), size=size.tiny, text="BO S")
plotshape(revLong, title="REV Long", style=shape.circle, location=location.belowbar, color=color.new(color.teal,0), size=size.tiny, text="REV L")
plotshape(revShort, title="REV Short",style=shape.circle, location=location.abovebar, color=color.new(color.purple,0), size=size.tiny, text="REV S")
plotshape(bullDiv, title="Bull Div", style=shape.labelup, location=location.belowbar, color=color.new(color.green,70), size=size.tiny, text="▲Div")
plotshape(bearDiv, title="Bear Div", style=shape.labeldown, location=location.abovebar, color=color.new(color.red, 70), size=size.tiny, text="▼Div")
TRADE ORBIT:-Coppock Curve –BULL MARKET BOTTOM TRADE ORBIT: Coppock Curve – Bull Market Start
The Coppock Curve is a long-term momentum indicator originally designed to identify the beginning of major bull markets. This version adds enhancements for clarity and trading usability:
🔹 Coppock Curve – Calculated as a weighted moving average of two Rate-of-Change (ROC) values (default 11 & 14).
🔹 Signal Line – A short moving average of the Coppock, used for early confirmation.
🔹 Zero Line – A reference line; moves above zero are considered bullish by classic Coppock theory.
🚀 Features:
Zero-Line Crossovers: Green triangle signals when Coppock crosses above 0 (long-term bullish confirmation).
Signal-Line Crossovers: Green circle signals when Coppock crosses above its short MA (early bullish entry).
Background Highlight: Subtle green shading when bullish signals trigger.
Customizable Inputs: ROC lengths, WMA length, and Signal MA length.
📊 How to Use:
Bullish Confirmation: Coppock crossing above zero often marks the start of a major uptrend.
Early Signals: Coppock crossing its signal MA provides earlier trend-change detection.
Works best on weekly charts, but can be applied to other timeframes.
⚠️ Note: This indicator is for educational purposes only and not financial advice. Always combine with your own research and risk management.
