Market Pulse Lite (RSI+MACD+EMAs+Vol+BTC.D+DXY)To use with de RSI 4h Strategy by M. Lolas, to confirm by and sell in the RSI range 4H. Make sense.
Hareketli Ortalamalar
Fibonacci Averages Oscillator M.Ataoglu============================================================================
FIBONACCI AVERAGES OSCILLATOR - TRADINGVIEW DESCRIPTION
============================================================================
📊 Fibonacci Averages Oscillator - Advanced Trend Analysis Tool
This indicator provides comprehensive trend analysis by combining multiple Fibonacci sequence periods into a single oscillator. It calculates trend strength using the mathematical properties of Fibonacci numbers to create a powerful trend detection system.
🔬 HOW IT WORKS:
The indicator uses a sophisticated algorithm that:
• Calculates moving averages for each Fibonacci period individually
• Combines all periods using weighted averaging techniques
• Normalizes the result to a 0-1 scale for easy interpretation
• Applies smoothing algorithms to reduce market noise
• Provides real-time color gradient visualization
📈 KEY FEATURES:
• MAX_ORTALAMA_FIB Mode: Uses average of all 11 Fibonacci periods (recommended)
• Individual Period Selection: Choose specific Fibonacci numbers
• Adaptive Smoothing: Adjustable smoothing parameter (2-70)
• Color Gradient System: Red (bearish) to Green (bullish) progression
• Detailed Level Lines: Precise support/resistance identification
• Neon Cyan Highlights: Special emphasis on key levels
• Performance Optimized: Advanced caching system for smooth operation
🎯 USAGE GUIDE:
• Values above 0.5: Bullish trend strength
• Values below 0.5: Bearish trend strength
• Color changes: Real-time trend strength progression
• Level lines: Key support/resistance identification
• Neon cyan levels: Critical decision points
⚙️ TECHNICAL SPECIFICATIONS:
• Calculation Method: Fibonacci-weighted moving averages
• Timeframe Compatibility: All timeframes (M1 to Monthly)
• Market Compatibility: Forex, Stocks, Crypto, Commodities
• Performance: Optimized for real-time trading
🔧 PARAMETERS:
• Max Fibonacci Number: Select calculation period or use MAX_ORTALAMA_FIB
• Smoothing Level: Adjust trend line smoothness (2-70)
• Trend Color (Low): Customize bearish trend color
• Trend Color (High): Customize bullish trend color
• Trend Line Thickness: Adjust line visibility (1-10)
⚠️ RISK DISCLAIMER:
This indicator is for educational and analysis purposes only. It does not constitute investment advice. Always conduct your own research and consider multiple factors before making trading decisions. Past performance does not guarantee future results.
🔗 CREDITS:
• Fibonacci calculation library: tkarolak
• Developed by: M._Ataoglu
• Version: 1.0
• Pine Script Version: 6
EDWARDS SQUEEZE 3MINUTE DOWSqueeze Momentum Strategy with EMA780 Trend Filter, ATR-SL, PT, EMA5 Exit Filter, and 3:57 PM Close
Golden Launch Pad🔰 Golden Launch Pad
This indicator identifies high-probability bullish setups by analyzing the relationship between multiple moving averages (MAs). A “Golden Launch Pad” is formed when the following five conditions are met simultaneously:
📌 Launch Pad Criteria (all must be true):
MAs Are Tightly Grouped
The selected MAs must be close together, measured using the Z-score spread — the difference between the highest and lowest Z-scores of the MAs.
Z-scores are calculated relative to the average and standard deviation of price over a user-defined window.
This normalizes MA distance based on volatility, making the signal adaptive across different assets.
MAs Are Bullishly Stacked
The MAs must be in strict ascending order: MA1 > MA2 > MA3 > ... > MA(n).
This ensures the short-term trend leads the longer-term trend — a classic sign of bullish structure.
All MAs Have Positive Slope
Each MA must be rising, based on a lookback period that is a percentage of its length (e.g. 30% of the MA’s bars).
This confirms momentum and avoids signals during sideways or weakening trends.
Price Is Above the Fastest MA
The current close must be higher than the first (fastest) moving average.
This adds a momentum filter and reduces false positives.
Price Is Near the MA Cluster
The current price must be close to the average of all selected MAs.
Proximity is measured in standard deviations (e.g. within 1.0), ensuring the price hasn't already made a large move away from the setup zone.
⚙️ Customization Options:
Use 2 to 6 MAs for the stack
Choose from SMA, EMA, WMA, VWMA for each MA
Adjustable Z-score window and spread threshold
Dynamic slope lookback based on MA length
Volatility-adjusted price proximity filter
🧠 Use Case:
This indicator helps traders visually and systematically detect strong continuation setups — often appearing before breakouts or sustained uptrends. It works well on intraday, swing, and positional timeframes across all asset classes.
For best results, combine with volume, breakout structure, or multi-timeframe confirmation.
4 EMA Multi-Length / Abbas4 EMA Multi Length indicator
in case you need to make 4 different EMA/s for your chart
for swinging you'll need 50/100/150/200
for scalping perhaps 9/20/50
this indicator allows you to combine up to 4 EMAS in one indicator instead of 4 separate ones.
FFH_Golden Gate StrategyThe FFH_Golden Gate Strategy is a method designed to help identify strong opportunities to enter and exit the market with discipline. It works by following the natural flow of price movements and identifying when prices are trending higher in a consistent way. The strategy uses a special average that adapts to the market, helping to separate meaningful trends from random fluctuations.
A buy signal is generated when the price moves significantly above this average, indicating strong upward momentum. This approach ensures that trades are only taken when the market shows clear strength, rather than during sideways or uncertain conditions.
An exit signal occurs when the price falls below the average, suggesting that the upward trend may be weakening. This allows the strategy to lock in gains and avoid holding positions when the market is turning against you.
Overall, the strategy is based on the simple idea of following the trend, entering on strength, and exiting before losses grow, providing a structured and disciplined approach to trading without relying on guesswork or emotional decisions.
EMA Cross by TejasFor all Free Sub users. Feel free to use it everywhere. Mostly ASTA students. Very Eaasy to use with signals.
Triple EMA with Alert | 21, 50, 200 EMA Strategy + Crossover🚀 Boost your trading edge with the Triple EMA with Alert — a professional-grade indicator designed for traders who want precise, real-time trend confirmation across short, medium, and long-term market movements.
🔹 What Makes This Indicator Powerful?
Three Adjustable EMAs — Default: 21, 50, 200 periods (fully customizable 1–200).
Toggle Visibility — Show only the EMAs you need for your strategy.
Real-Time Alerts — Get notified instantly when:
EMA 1 crosses EMA 2 → short-term trend change.
EMA 2 crosses EMA 3 → medium-term trend alignment.
Works on All Markets & Timeframes — Forex, crypto, stocks, indices, and commodities.
🔹 Why Traders Love It
📊 Multi-Timeframe Trend Confirmation — Filter out noise and trade with market momentum.
🎯 Accurate Crossover Signals — Identify bullish and bearish momentum shifts.
🔔 Hands-Free Monitoring — Alerts keep you informed even when you’re away from the chart.
💡 Versatile for Any Strategy — Perfect for scalping, swing trading, or long-term investing.
🔹 How to Use It
Bullish Signal — EMA 1 crossing above EMA 2 or EMA 2 crossing above EMA 3.
Bearish Signal — EMA 1 crossing below EMA 2 or EMA 2 crossing below EMA 3.
Combine with support/resistance zones, RSI, or volume for higher probability trades.
📌 Pro Tip:
Use EMA 21 & EMA 50 for momentum confirmation.
Use EMA 200 to spot the overall market direction.
If you’re serious about trend trading with precision, the Triple EMA with Alert will keep you one step ahead of market moves — no more missed entries or exits.
Moving Averages with Crossovers and Interchangeable 200 EMA
just basic standard emas. used for technical analysis and reading institutional flow
Heiken Ashi + Ichimoku Baseline ScalperHi
This a trend identification strategy. You can hold your trade as long as the signals are in your favor.
Becomnigforextrader XAU M1 ScalperHi
The blue line is baseline of ichimoku or kiju sen. When thee is divergence between pice and baseline, the signals are not correct.
As long as there are signals in your trade direction, you can hold your trade.
This strategy depicts mometum and current trend.
Cnagda Trading ToolCnagda Trading Tools - complete set of intraday trading
1. Trendline breakout based On ATR.
2. Live RSI, volume/candle average 20 Periods, trend direction last 34 periods, and some useful dashboard features.
3. Ma Scalp Line provide trend support and resistance + Where Line More Flat Previous Time You Also Use That Range As Support And Resistance
4. RSI based POC ( Point Of Control) indicate high Volume Area like fixed Range Volume profile
5. London session breakout with buy/sell Signal and NewYork session opening half hour range breakout with Buy/sell signal
Ma Scalp Buy And Sell Signal For Short term Scalping ( 5 Min Timeframe) Based on Ema And Wma Crossover
I hope these tools will improve your trading, but you should trade only after proper research, this indicator is not responsible for any loss.
EMA Momentum Trading Indicator testthis is a test script for a momentum trading strategy it shows how repainting and look ahead bias can effect an indicator performance
Sumits EMA Clouds (Modified)Overview
Sumit’s EMA Clouds (Modified) is a versatile trend-tracking and momentum-visualization tool designed for TradingView.
It overlays multiple exponential (or simple) moving average (MA) clouds directly on the price chart, helping traders quickly assess trend direction, strength, and possible reversal zones.
The indicator combines short-term and long-term MA pairs into “clouds,” color-coded for bullish or bearish bias, making it easy to interpret market structure at a glance.
Key Features
Customizable MA Type
Option to switch between EMA and SMA for all calculations.
Adjustable price source (default: (high + low) / 2) for fine-tuning.
Five Independent EMA Clouds
Cloud 1: EMA 5 vs EMA 30
Cloud 2: EMA 9 vs EMA 34
Cloud 3: EMA 13 vs EMA 45
Cloud 4: EMA 26 vs EMA 50
Cloud 5: EMA 26 vs EMA 200 (for major trend bias)
Trend-Based Coloring
Cloud Fill Color: Turns green/blue when the short MA is above the long MA (bullish bias), red/orange/pink when below (bearish bias).
Line Color: Adapts dynamically to the MA’s slope — olive/green for upward momentum, maroon/red for downward.
Toggle Visibility
Option to hide/show individual EMA clouds.
Option to hide/show MA lines while keeping only the shaded clouds for a cleaner look.
Offset & Leading Display
Ability to offset plotted MAs to project them forward for visual clarity or predictive modeling.
Trading Applications
Trend Confirmation:
Clouds expanding with bullish colors indicate strengthening upward trends; contracting or color-flipping clouds may signal reversals.
Dynamic Support/Resistance:
Price often reacts to cloud boundaries; the thicker the cloud, the stronger the zone.
Multi-Timeframe Consistency:
Works well across intraday, swing, and positional setups — shorter clouds for quick trades, longer clouds for macro trend guidance.
Momentum Visualization:
Changing slope colors give early hints of acceleration or weakening momentum.
How to Interpret
All Clouds Bullish (aligned & greenish):
Strong uptrend — consider trend-following entries.
All Clouds Bearish (aligned & reddish):
Strong downtrend — look for shorting opportunities.
Mixed Signals (clouds crossing in different directions):
Possible trend exhaustion or consolidation — avoid over-aggressive entries.
200 EMA Cloud (Cloud 5):
Acts as a “macro trend filter” — many traders only trade in the direction of this cloud.
光速量化-头皮策略v1.1Version: Unlimited trial version.
Principle: RSI and moving average complement each other, taking a bite of both oscillation and trend.
Disadvantage: High drawdown.
Disclaimer: The scalp strategy v1.1 of Lightspeed Quantification is designed for trial users. Those who use this strategy are responsible for their own assets, and any losses incurred are not the responsibility of the author.
版本:无期限试用版。
原理:RSI与均线配合,震荡与趋势都吃一口。
缺点:回撤高。
声明:光速量化的头皮策略v1.1是面向试用者体验的,使用该策略的人请为自己的资产负责,产生任何损失与作者无关。
Billionairess📌 폭발 거래량 기반 추세 전환 매매 전략
1. 거래량 스파이크 감지
과거 평균 대비 거래량이 특정 비율 이상 급증하면 신호 발생
해당 구간을 시장 주목 포인트로 설정
2. 추세 전환 확인
거래량 스파이크 이후 추세 색상이 반전되면 진입
추세 색상 판별: 이동평균 활용
상승 전환 시 매수, 하락 전환 시 매도
3. 진입 타이밍
"볼륨 폭발 → 추세 반전 확인 → 진입" 순서
스파이크 발생 직후의 첫 반전 시그널이 핵심 포인트
4. 필터링 조건
거래량 스파이크 강도 필터
반전 이후 봉 크기 최소 조건
주요 지지·저항 근접 여부 확인
페이크 반전(노이즈) 제거
5. 전략 특징
큰손 자금의 움직임 이후 추종하는 방식
선행지표보다 신뢰성 높음
다만 진입 타이밍이 다소 늦을 수 있으므로,
진입 봉 크기·손절·익절 기준을 명확히 설정 필요
이렇게 정리하면, 매매 절차와 필터링 조건이 한눈에 보입니다.
-----------------------------------------
📌 Volume Spike–Based Trend Reversal Trading Strategy
1. Detecting Volume Spikes
A signal is generated when trading volume surges above a certain ratio compared to its historical average.
This zone is marked as a market attention point.
2. Confirming Trend Reversal
After a volume spike, enter a position when the trend color reverses.
Trend color is determined using moving averages.
Go long on an uptrend reversal, and short on a downtrend reversal.
3. Entry Timing
Sequence: "Volume spike → Confirm trend reversal → Enter position"
The first reversal signal immediately after the spike is the key entry point.
4. Filtering Conditions
Minimum volume spike strength threshold
Minimum bar size after the reversal
Check proximity to key support/resistance levels
Filter out false reversals (noise)
5. Strategy Characteristics
Follows smart money movement after large capital enters the market
More reliable than purely leading indicators
Entry timing may be slightly delayed, so set clear rules for bar size, stop loss, and take profit
The Barking Rat PercentilesPercentile Reversion with Multi-Layered Smoothing
The Barking Rat Percentiles is a multi-tiered reversion strategy based on fixed percentage movements away from the mean, designed to capture price extremes through a structured, practical approach. It combines statistically derived percentile bands, RSI momentum filtering, and ATR-driven exits to identify potential turning points while managing opportunity with precision. The aim is to isolate high-quality reversal opportunities at progressively deeper extremes while avoiding noise and low-conviction setups.
At its core, the strategy measures the current market position relative to long-term percentile thresholds. When price moves significantly beyond these smoothed levels and momentum shows signs of exhaustion, staged entries are triggered. Exits are managed using independent ATR-based take profit and stop loss logic to adapt to varying volatility conditions.
🧠 Core Logic: Tiered Extremes & Structured Management
This strategy is intentionally methodical, layering multiple thresholds and validation checks before highlighting potential setups. By combining percentile-based extremes with momentum confirmation and adaptive trade management, it offers a disciplined and repeatable framework for mean reversion trading.
1. Percentile Thresholds as the Primary Framework
The script calculates the highest high and lowest low over a long lookback period of more than 1000 candles to define the overall price range. It then derives upper and lower percentile thresholds to determine extreme price levels. These thresholds are smoothed using a simple moving average to filter out short-term noise, ensuring that only statistically significant deviations from the mean are considered for potential trades.
2. Multi-Tier Entry Levels
Based on the percentile distance away from the mean, the script plots and references five discrete trigger levels beyond the primary thresholds for both long and short positions. Each tier represents progressively deeper extremes, typically 1–3% beyond the smoothed threshold, balancing the benefits of early entries with the safety of more confirmed extremes. Custom logic ensures only one signal is generated per threshold level, avoiding duplicate entries in the same zone.
3. RSI Momentum Filter
A 14-period RSI filter is applied to prevent entering trades against strong momentum. Long trades are only triggered when RSI falls below 30 (oversold), and short trades only when RSI rises above 70 (overbought). This helps align entries with potential exhaustion points, reducing the risk of entering prematurely into a strong ongoing trend.
4. ATR-Based Trade Management
For each trade sequence, the strategy will exit on the first exit condition met: either the take profit (TP) or the stop loss (SL). Because the TP uses a smaller ATR multiplier, it’s generally closer to the entry price, so most trades will hit the TP before reaching the SL. The SL is intentionally set with a larger ATR multiplier to give the trade room to develop, acting as a protective fallback rather than a frequent exit.
So in practice, you’ll usually see the TP executed for a trade, and the SL only triggers in cases where price moves further against the position than expected.
5. Position Reset Logic
Once price returns to the smoothed threshold region, all entry tiers in that direction are reset. This allows the system to prepare for new opportunities if the market revisits extreme levels, without triggering duplicate trades at the same threshold.
Why These Parameters Were Chosen
Multi-tier thresholds ensure that only meaningful extremes are acted upon, while the long-range SMA provides historical context and filters out noise. The staged entry logic per level balances the desire for early participation with the discipline of risk management. ATR-based TP and SL levels adapt to changing volatility, while the RSI filter improves timing by aligning trades with potential exhaustion points. Together, these elements create a balanced, structured, and repeatable approach to mean reversion trading.
📈 Chart Visuals: Clear & Intuitive
Green “▲” below a candle: Potential long entry
Red “▼” above a candle: Potential short entry
Blue “✔️”: Exit when ATR take profit is hit
Orange “✘”: Exit when ATR stop loss is hit
Tier threshold lines (smoothed upper/lower bounds)
🔔Alerts: Stay Notified Without Watching
The strategy supports real-time alerts on candle close, ensuring that signals are only triggered once fully confirmed.
You must manually set up alerts within your TradingView account. Once configured, you’ll be able to set up one alert per instrument. This one alert covers all relevant signals and exits — ideal for hands-free monitoring.
⚙️Strategy report properties
Position size: 25% equity per trade
Initial capital: 10,000.00 USDT
Pyramiding: 10 entries per direction
Slippage: 2 ticks
Commission: 0.055% per side
Backtest timeframe: 1-minute
Backtest instrument: SOLUSDT
Backtesting range: Jul 28, 2025 — Aug 14, 2025
Note on Sample Size:
You’ll notice the report displays fewer than the ideal 100 trades in the strategy report above. This is intentional. The goal of the script is to isolate high-quality, short-term reversal opportunities while filtering out low-conviction setups. This means that the Barking Rat Percentiles strategy is ultra-selective, filtering out over 90% of market noise by enforcing multiple validation layers. The brief timeframe shown in the strategy report here illustrates its filtering logic over a short window — not its full capabilities. As a result, even on lower timeframes like the 1-minute chart, signals are deliberately sparse — each one must pass all criteria before triggering.
For a larger dataset:
Once the strategy is applied to your chart, users are encouraged to expand the lookback range or apply the strategy to other volatile pairs to view a full sample.
💡Why 25% Equity Per Trade?
While it's always best to size positions based on personal risk tolerance, we defaulted to 25% equity per trade in the backtesting data — and here’s why:
Backtests using this sizing show manageable drawdowns even under volatile periods
The strategy generates a sizeable number of trades, reducing reliance on a single outcome
Combined with conservative filters, the 25% setting offers a balance between aggression and control
Users are strongly encouraged to customize this to suit their risk profile.
🔍 What Makes This Strategy Unique?
Multi-Tier Percentile Triggers – Instead of relying on a single overbought/oversold zone, this strategy uses five distinct entry tiers per direction, allowing for staged, precision entries at progressively deeper extremes.
Long-Term Percentile Smoothing – By calculating extremes over a 1000+ candle range and smoothing them with a moving average, the strategy focuses only on statistically significant deviations.
Custom One-Signal-Per-Tier Logic – Prevents duplicate trades at the same threshold level, reducing overtrading and noise.
Dual ATR Exit System – Independent TP and SL levels adapt to volatility. TP uses a smaller ATR multiplier for realistic, achievable exits and generally executes first, while the SL has a larger ATR multiplier to provide protective breathing room if the trade moves further against the position.
Momentum-Aware Filtering – A 14-period RSI filter ensures trades are only taken when momentum is likely exhausted, avoiding entries into strong trends.
Automatic Position Reset – Once price normalizes, tiers reset, allowing for fresh entries without interference from previous trades.
Pi Cycle Top Indicator - mychaelgoPlots the original Pi Cycle Top moving averages and marks bars where the 111DMA is rising and crosses above the 350DMA×2, often coinciding with Bitcoin cycle peaks. Includes a label with the signal price.
YM Confluence Panel - Dual SMA (fast/slow)This script displays a YM Confluence Panel for the mini Dow Jones (YM), using six correlated/inversely correlated assets (ES, NQ, RTY, ZN, GC, VIX) and two simple moving averages (fast: 9 / slow: 20).
The logic determines bullish or bearish conditions for each asset based on SMA relationships and price, generating arrows and an aggregated BUY / SELL / WAIT signal.
🔹 How it works:
• Correlated assets (ES, NQ, RTY): bullish when SMA(9) > SMA(20) and price above SMA(20).
• Inverse assets (ZN, GC, VIX): bullish when SMA(9) < SMA(20) and price below SMA(20).
• All bullish → BUY
• All bearish → SELL
• Otherwise → WAIT
✅ Customizable:
• Adjust assets and timeframes.
• Change SMA periods.
• Set panel position.
⚠️ Disclaimer: For educational purposes only. Not financial advice.
EMA Distance %# EMA Distance % - Daily Timeframe Analysis
## Overview
This indicator provides real-time analysis of price distance from key Exponential Moving Averages (EMA 10 and EMA 21) on the daily timeframe, regardless of your current chart timeframe. It displays both percentage and volatility-adjusted (ATR) distances in a clean, customizable table format.
## Key Features
- **Daily Timeframe Focus**: Always references daily EMA 10 and EMA 21 values, providing consistent analysis across all chart timeframes
- **Dual Distance Metrics**: Shows both percentage distance and ATR-normalized distance for comprehensive analysis
- **Customizable Table Position**: Position the data table anywhere on your chart (9 different locations available)
- **Color-Coded Results**: Green indicates price above EMA, red indicates price below EMA
- **Volatility Adjustment**: ATR distance provides context relative to the asset's typical price movements
## What It Shows
The indicator displays a table with the following information:
- **EMA Value**: Current daily EMA 10 and EMA 21 values
- **Distance %**: Percentage distance from each EMA (positive = above, negative = below)
- **ATR Distance**: How many Average True Range units the price is from each EMA
## Use Cases
- **Mean Reversion Trading**: Identify when price has moved significantly away from key EMAs
- **Trend Strength Analysis**: Gauge the strength of current trends relative to moving averages
- **Entry/Exit Timing**: Use ATR distances to identify potential reversal zones (typically 2-3+ ATR)
- **Multi-Timeframe Analysis**: View daily EMA relationships while analyzing shorter timeframes
- **Risk Management**: Understand volatility-adjusted distance for better position sizing
## Settings
- **Table Position**: Choose from 9 different table positions on your chart
- **ATR Period**: Customize the ATR calculation period (default: 14)
## Interpretation
- **Small distances (< 1% or < 1 ATR)**: Price near EMA support/resistance
- **Medium distances (1-3% or 1-2 ATR)**: Normal trending movement
- **Large distances (> 3% or > 2-3 ATR)**: Potential overextension, watch for mean reversion
Perfect for swing traders, position traders, and anyone using EMA-based strategies who wants quick access to daily timeframe EMA relationships without switching chart timeframes.
Volume Rotor Clock [hapharmonic]🕰️ Volume Rotor Clock
The Volume Rotor Clock is an indicator that separates buy and sell volume, compiling these volumes over a recent number of bars or a specified past period, as defined by the user. This helps to reveal accumulation (buying) or distribution (selling) behavior, showing which side has superior volume. With its unique and beautiful display, the Volume Rotor Clock is more than just a timepiece; it's a dynamic dashboard that visualizes the buying and selling pressure of your favorite symbols, all wrapped in an elegant and fully customizable interface.
Instead of just tracking price, this indicator focuses on the engine behind the movement: volume. It helps you instantly identify which assets are under accumulation (buying) and which are under distribution (selling).
---
🎨 20 Pre-configured Templates
---
🧐 Interpreting the Clock Display
The interface is designed to give you multiple layers of information at a glance. Let's break down what each part represents.
1. The Main Clock Hands (Current Chart Symbol)
The clock hands—hour, minute, and second—are dedicated to the symbol on your current active chart .
Minute Hand: Displays the base currency of the current symbol (e.g., USDT, USD) at its tip.
Hour Hand: Displays the percentage of the winning volume side (buy vs. sell) at its tip.
Color Gauge: The color of the text characters at the tip of both the hour and minute hands acts as your primary volume gauge for the current symbol.
If buy volume is dominant , the text will be green .
If sell volume is dominant , the text will be red .
Tooltip: Hovering your mouse over the text at the tip of the hour or minute or other spherical elements hand will reveal a detailed tooltip with the precise Buy Volume, Sell Volume, Total Volume, Buy %, and Sell % for the current chart's symbol.
2. The Volume Scanner: Bulls & Bears (Symbols Inside the Clock) 🐂🐻
The circular symbols scattered inside the clock face are your multi-symbol volume scanner. They represent the assets you've selected in the indicator's settings.
Green Circles (Bulls - Upper Half): These represent symbols from your list where the total buy volume is greater than the total sell volume over the defined "Lookback" period. They are considered to be under bullish accumulation. The size of the circle and its text grows larger as the buy percentage becomes more dominant. The percentage shown within the circle represents the buy volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set.
Red Circles (Bears - Lower Half): These represent symbols where the total sell volume is greater than the total buy volume. They are considered to be under bearish distribution or selling pressure. The size of the circle indicates the dominance of the sell-side volume. The percentage shown within the circle represents the sell volume's share of the total volume, calculated over the 'Lookback (Bars)' you've set.
3. The Bullish Watchlist (Symbols Above the Clock) ⭐
The symbols arranged neatly along the top edge of the clock are the "best of the bulls." They are symbols that are not only bullish but have also passed an additional, powerful strength filter.
What it Means: A symbol appears here when it shows signs of sustained, high-volume buying interest . It's a way to filter out noise and focus on assets with potentially significant accumulation phases.
The Filter Logic: For a bullish symbol (where total buy volume > total sell volume) to be promoted to the watchlist, its trading volume must meet specific criteria based on this formula:
ta.barssince(not(volume > ta.sma(volume, X))) >= Y
In plain English, this means: The indicator checks how many consecutive bars the `volume` has been greater than its `X`-bar Simple Moving Average (`ta.sma(volume, X)`). If this count is greater than or equal to `Y` bars, the condition is met.
(You can configure `X` (Volume MA Length) and `Y` (Consecutive Days Above MA) in the settings.)
Why it's Useful: This filter is powerful because it looks for consistency . A single spike in volume can be an anomaly. However, when an asset's volume remains consistently above its recent average for several consecutive days, it strongly suggests that larger players or a significant portion of the market are actively accumulating the asset. This sustained interest can often precede a significant upward price trend.
---
⚙️ Indicator Settings Explained
The Volume Rotor Clock is highly customizable. Here’s a detailed walkthrough of every setting available in the "Inputs" tab.
🎨 Color Scheme
This group allows you to control the entire aesthetic of the clock.
Template: Choose from a wide variety of professionally designed color themes.
Use Template: A simple checkbox to switch between using a pre-designed theme and creating your own.
`Checked`: You can select a theme from the dropdown menu, which offers 20 unique templates like "Cyberpunk Neon" or "Forest Green". All custom color settings below will be disabled (grayed out and unclickable).
`Unchecked`: The template dropdown is disabled, and you gain full control over every color element in the sections below.
🖌️ Custom Appearance & Colors
These settings are only active when "Use Template" is unchecked.
Flame Head / Tail: Sets the start and end colors for the dynamic flame effect that traces the clock's border, representing the second hand.
Numbers / Main Numbers: Customize the color of the regular hour numbers (1, 2, 4, 5...) and the main cardinal numbers (3, 6, 9, 12).
Sunburst Colors (1-6): Controls the six colors used in the gradient background for the "sunburst" effect inside the clock face.
Hands & Digital: Fine-tune the colors for the Hour/Minute Hand, Second Hand, central Pivot point, and the digital time display.
Chain Color / Width: Customize the appearance of the two chains holding the clock.
📡 Volume Scanner
Control the behavior of the multi-symbol scanner.
Show Scanner Labels: A master switch to show or hide all the bull/bear symbol circles inside the clock.
Lookback (Bars): A crucial setting that defines the calculation period for buy/sell volume for all scanned symbols. The calculation is a sum over the specified number of recent bars.
`0`: Calculates using the current bar only .
`7`: Calculates the sum of volume over the last 8 bars (the current bar + 7 historical bars).
Symbols List: Here you can enable/disable up to 20 slots and input the ticker for each symbol you want to scan (e.g., BINANCE:BTCUSDT , NASDAQ:AAPL ).
⭐ Bullish Watchlist Filter
Configure the criteria for the elite watchlist symbols displayed above the clock.
Enable Watchlist: A master switch to turn the entire watchlist feature on or off.
Volume MA Length: Sets the lookback period `(X)` for the Simple Moving Average of volume used in the filter.
Consecutive Days Above MA: Sets the minimum number of consecutive days `(Y)` that volume must close above its MA to qualify.
Symbols Per Row: Determines the maximum number of watchlist symbols that can fit in a single row before a new row is created above it.
Background / Text Color: When not using a template, you can set custom colors for the watchlist symbols' background and text.
📏 Position & Size
Adjust the clock's placement and dimensions on your chart.
Clock Timezone: Sets the timezone for the digital and analog time display. You can use standard formats like "America/New_York" or enter "Exchange" to sync with the chart's timezone.
Radius (Bars): Controls the overall size of the clock. The radius is measured in terms of the number of bars on the x-axis.
X Offset (Bars): Moves the entire clock horizontally. Positive values shift it to the right; negative values shift it to the left.
Y Offset (Price %): Moves the entire clock vertically as a percentage of your screen's price pane. Positive values move it up; negative values move it down.
[Top] LHAMA SupertrendLHAMA Supertrend - Advanced Adaptive Trend Following System
Overview
The LHAMA Supertrend is an innovative trend-following indicator that combines adaptive moving average technology with intelligent signal confirmation. Unlike traditional supertrend indicators that rely on simple moving averages, this system uses my Low-High Adaptive Moving Average (🦙 LHAMA) algorithm that dynamically adjusts to market volatility and price action patterns. It is much more responsive to sudden price changes than traditional supertrend indicators, allowing you to jump in earlier and catch more of the move, and it manages this responsiveness without significantly increasing the number of false signals.
What Makes This Original
This indicator introduces several unique concepts not found in standard trend-following tools:
LHAMA Algorithm : The core innovation is the Low-High Adaptive Moving Average, which adapts its responsiveness based on the frequency of new highs and lows within a lookback period. This creates a more intelligent baseline that responds appropriately to different market conditions.
Delayed Confirmation System : Rather than generating immediate signals on price crossovers, the indicator implements a sophisticated confirmation mechanism using slope analysis. Signals are only triggered when both trend direction and momentum align, significantly reducing false signals.
Volume Integration : Optional volume weighting enhances the adaptive calculation, giving more weight to price movements during high-volume periods.
Daily Reset Functionality : Unique daily reset feature helps realign the indicator after overnight gaps, particularly useful for equity markets.
How It Works
LHAMA Calculation
The LHAMA baseline adapts using a coefficient derived from:
Frequency of new highs and lows in the lookback period
Optional volume weighting factor
Smoothed adaptation rate based on market activity
The calculation:
lhama = previous_lhama + momentum_adaptation * (price - previous_lhama)
Where the momentum adaptation increases when markets are making new highs or lows, allowing faster response during trending conditions while providing stability during consolidation.
Signal Generation
The indicator uses a two-stage signal process:
Trend Identification : Price position relative to LHAMA determines basic trend bias
Slope Confirmation : ATR-normalized slope analysis confirms momentum direction
Signal Timing : Buy/sell signals only trigger when trend direction and slope momentum align
Visual Components
LHAMA Line : The adaptive baseline with optional angle-based gradient coloring that visualizes momentum strength
Trend Clouds : Dynamic fill areas that adapt to the last confirmed signal direction
ATR Halo : Opposite-side ATR band providing optional additional context for stop-loss placement
Confirmation Signals : Clear BUY/SELL labels only appear after full confirmation
How to Use
Basic Setup
Apply to any timeframe and symbol
Default LHAMA length of 15 periods works well for most applications
Accuracy depends greatly on chart timeframe and symbol, so make sure to backtest before relying on any signals. For example, ES and NQ work best on the 15m timeframe while GC and CL work best on the 5m.
Enable daily reset for equity markets to handle overnight gaps
Signal Interpretation
Immediate Heads-up : Small triangles show instant trend changes for awareness. These are your warnings to get ready to buy or sell if price takes off. (If many triangles are being printed in both directions, that is a warning that the market is ranging and you should not blindly follow a BUY/SELL signal without additional confirmation.)
Confirmed Signals : BUY/SELL labels appear only after slope confirms the direction
Cloud Color : Locked to the last confirmed signal direction for clear regime identification
Advanced Features
Flat Threshold : Adjust the angle threshold to filter out sideways market noise
Gradient Mode : Toggle between classic supertrend coloring and momentum-based gradients
ATR Halo : Use the opposite-side cloud as a more generous trailing stop level
Risk Management
The indicator provides multiple levels for stop-loss placement:
Tight : Edge of the main trend cloud
Standard : The LHAMA Line itself
Generous : ATR halo boundary
Best Practices
Timeframe Selection : Not all timeframes on all symbols are created equal. Make sure to scroll to the left and verify that your current chart timeframe isn't throwing out tons of bad signals. This will be easy to spot as it show up as constant rapid flipping from buy to sell.
Market Conditions : Performs best in trending markets. The flat threshold setting helps filter out poor performance during strong sideways action, but no indicator is perfect.
Confirmation : Wait for confirmed BUY/SELL signals rather than acting on immediate trend flips for better risk-adjusted returns.
Key Parameters
LHAMA Length (15) : Controls the lookback period for adaptive calculation
Daily Reset : Helps maintain accuracy across overnight gaps
Flat Threshold (5°) : Filters out low-momentum signals
Volume Weighting : Enhances adaptation during high-volume periods
Alerts
The indicator provides two alert types:
"BUY (confirmed)": Triggers when bullish trend and upward slope align
"SELL (confirmed)": Triggers when bearish trend and downward slope align
These alerts fire only on confirmed signals, not on immediate price crossovers, providing higher-quality notifications.
Innovation Summary
This indicator advances trend-following methodology by introducing adaptive baseline calculation, intelligent signal confirmation, and comprehensive visual feedback systems. The combination of LHAMA adaptation, slope-based confirmation, and multi-layered risk management tools creates a more sophisticated approach to trend analysis than traditional supertrend indicators.
The result is a tool that maintains responsiveness during trending conditions while providing stability during consolidation, with clear visual cues for entry, exit, and risk management decisions.