profitalgoDynamic Moving Average Indicator
The Dynamic Moving Average (DMA) is an innovative trading tool designed to provide real-time buy and sell signals based on price action. Unlike traditional moving averages, which can lag behind market movements, the DMA adapts dynamically to changing market conditions, allowing traders to capture trends more effectively.
Key Features:
• Real-Time Signals: The DMA generates timely buy and sell signals, helping traders make informed decisions quickly.
• Adaptive Nature: By adjusting to price fluctuations, the DMA minimizes lag and enhances responsiveness to market changes.
• User-Friendly Interface: Easy to integrate into your TradingView charts, making it accessible for both novice and experienced traders.
• Customizable Settings: Tailor the indicator parameters to fit your trading style and preferences.
Utilize the Dynamic Moving Average to enhance your trading strategy and stay ahead in the market!
Trend Analysis
Impulse Signal Fractal 2/3 + Money Flow (CMF) by PeteImpulse Signal Fractal 2/3 + Money Flow (CMF) Impulse Signal Fractal 2/3 + Money Flow (CMF)
Monthly Pivots & MACD D1 Strategy
-TimeFrame D1
-Indicators: Pivot Point monthly, MACD
-When the price go near the support/resistance and MACD crossover enter the entry right there.
Parepalli DTB StrategyShanker Parepalli DTB:
How it forms:
First Peak: Price rises and then falls.
Second Peak: Price rises again but fails to break the previous high, creating resistance.
Neckline: A support level formed at the lowest point between the two peaks.
Breakdown: The pattern is confirmed when price breaks below the neckline.
Trading Strategy:
Entry: Sell (short) when price breaks below the neckline.
Stop-Loss: Just above the second peak.
Target: Measure the height between the peaks and neckline, and subtract it from the neckline for a price target.
Parepalli DTB StrategyShanker Parepalli DTB Strategy
How it forms:
First Trough: Price drops and rebounds.
Second Trough: Price drops again, finds support near the previous low, and rises.
Neckline: A resistance level at the high between the two lows.
Breakout: Confirmed when price breaks above the neckline.
Trading Strategy:
Entry: Buy when price breaks above the neckline.
Stop-Loss: Just below the second bottom.
Target: Measure the height from the bottoms to the neckline, and add it above the neckline.
EMA with ColoringDescription:
The "EMA with Coloring" indicator plots a customizable Exponential Moving Average (EMA) on the price chart, with its color dynamically changing based on the Ichimoku Cloud's trend signals. This tool helps traders identify trend direction and potential trading opportunities by combining the simplicity of an EMA with the robust trend analysis of the Ichimoku system. The EMA changes color to reflect bullish (uptrend), bearish (downtrend), or neutral (in-cloud) market conditions, making it easier to spot trend shifts and trade setups.
How It Works:
EMA Calculation: The indicator calculates an EMA based on the user-defined period (default: 9). The EMA is plotted directly on the price chart, overlaying candlesticks or bars.
Ichimoku Coloring Logic: The EMA’s color is determined by an underlying Ichimoku Cloud system:
Green (Uptrend): When the price is above the Ichimoku Cloud and bullish conditions are confirmed (e.g., Conversion Line above Base Line and rising momentum).
Red (Downtrend): When the price is below the Ichimoku Cloud and bearish conditions are confirmed (e.g., Conversion Line below Base Line and falling momentum).
ATR Whipsaw Protection: The indicator uses an Average True Range (ATR) filter to reduce false signals during choppy markets, ensuring more reliable trend identification.
Customizable Settings:
EMA Length: Adjust the period of the EMA (default: 9) to make it more or less sensitive to price changes.
Uptrend/Downtrend Colors: Choose from Green, Red, or Blue for the EMA’s color in bullish or bearish conditions.
Transparency: Set the EMA’s opacity (default: 0, fully opaque) for better visibility on the chart.
How to Trade It:
Trend Identification:
Bullish (Green EMA): Indicates a strong uptrend. Look for buying opportunities when the EMA turns green, especially if the price is above the cloud and the EMA is sloping upward.
Bearish (Red EMA): Indicates a strong downtrend. Consider selling or shorting when the EMA turns red, particularly if the price is below the cloud and the EMA is sloping downward.
Neutral (Gray EMA): Signals a range-bound market. Avoid trend-based trades and consider range trading or waiting for a breakout.
Entry Signals:
Long Entry: Enter a buy trade when the EMA changes from gray or red to green, and the price breaks above a recent high or key resistance, confirming bullish momentum.
Short Entry: Enter a sell/short trade when the EMA changes from gray or green to red, and the price breaks below a recent low or key support, confirming bearish momentum.
Exit Signals:
Exit long trades when the EMA turns gray or red, indicating a potential trend reversal or consolidation.
Exit short trades when the EMA turns gray or green, suggesting the downtrend may be weakening.
Risk Management:
Use stop-losses below recent swing lows (for longs) or above swing highs (for shorts) to protect against unexpected reversals.
Combine with support/resistance levels, candlestick patterns, or other indicators (e.g., RSI, MACD) for confirmation.
Tips:
Adjust the EMA length to suit your trading style: shorter periods (e.g., 5–10) for scalping/day trading, longer periods (e.g., 20–50) for swing trading.
Test the indicator on your preferred timeframe and asset to optimize settings.
Settings:
EMA Settings:
EMA Length: Default is 9. Increase for smoother trends, decrease for more sensitivity.
EMA Color Settings:
Uptrend EMA Color: Choose Green, Red, or Blue (default: Green) for bullish conditions.
Downtrend EMA Color: Choose Green, Red, or Blue (default: Red) for bearish conditions.
EMA Color Transparency: Default is 0 (fully opaque). Adjust to 10–100 for partial transparency if needed.
Notes:
Best used on timeframes where trends are clear (e.g., 1H, 4H, Daily).
The Ichimoku logic runs in the background with fixed parameters optimized for reliability, so only the EMA and color settings are adjustable.
Always backtest and practice on a demo account before using in live trading.
Multi-EnvelopeRMA Multi-Envelope Indicator
The RMA Multi-Envelope Indicator is a technical analysis tool designed for TradingView, utilizing Pine Script v6. It creates eight customizable envelope bands around a 200-period Running Moving Average (RMA) on a 5-minute timeframe, based on current market measurements. Each band has independent upper and lower percentage deviations, preset to: Band 1 (0.42%, 0.46%), Band 2 (0.78%, 0.69%), Band 3 (1.01%, 1.03%), Band 4 (1.36%, 1.39%), Band 5 (1.80%, 1.62%), Band 6 (2.15%, 2.13%), Band 7 (2.93%, 2.81%), and Band 8 (4.65%, 4.18%). Users can adjust the timeframe, moving average type (RMA, SMA, or EMA), length, and colors for the basis line and bands via hex codes (e.g., #FF6D00 for the basis and Band 8) with semi-transparent color.rgb fills. Ideal for identifying support/resistance, overbought/oversold conditions, or trend boundaries on a 5-minute chart.
Seer Tee: Candlestick Based MSP with Fib time# Seer Tee (Maverick Indicators)
The **Seer Tee** indicator is designed using the famous Candle Range Theory (CRT) concepts. It visualizes critical price levels derived from higher timeframe candles, detects significant price action signals, and assists traders in identifying potential trend reversals and continuation patterns.
## Key Features
### Higher Timeframe Price Levels
Seer Tee automatically identifies and plots critical price zones, including:
- **Premium Zone**: Upper range derived from the midpoint to the high of the reference candle.
- **Discount Zone**: Lower range from the midpoint to the low of the reference candle.
- **High, Mid, Low Lines**: Dynamically plotted horizontal lines representing critical reference levels from the higher timeframe (HTF).
These levels help traders visualize significant zones where price reactions are expected.
### Volatility-Based "Big Bar" Detection
The indicator continuously monitors the size of candles on the higher timeframe to detect "big bars," defined as candles significantly larger than the recent average range. Once a "big bar" is detected, the indicator marks high and low for reference.
### Reversal Signals & Turtle Soup Patterns
Seer Tee identifies specific price action signals based on Candle Range Theory:
- Marks **cross-over** and **cross-under** points as potential reversal or continuation signals.
- Detects "Turtle Soup" setups, visualizing key pivot points through clearly drawn triangles that signal potential market reversals.
### Modified Schiff Pitchfork
When conditions align with the above CRT-like rules, the Seer Tee indicator automatically plots a Modified Schiff Pitchfork. This feature aids traders in anticipating possible future price channels and market structures based on identified pivot points.
## Timeframe Alignment
Seer Tee is designed to work seamlessly across multiple timeframes:
- **Monthly CRT → Daily Entries**
- **Weekly CRT → 4-Hour Entries**
- **Daily CRT → 1-Hour Entries**
- **4-Hour CRT → 15-Minute Entries**
- **1-Hour CRT → 5-Minute Entries**
## Additional features (beta)
Seer Tee displays Fibonacci time, which is internally calculated based on the Seer Tee signal. You can turn it off from the menu.
This structured timeframe alignment supports detailed analysis and strategic entries.
## Naming and Inspiration
While the name "Seer Tee" pays homage to Romeo(RomeoTPT), who created and popularized the Candle Range Theory (CRT), it cleverly reflects both the visual similarity of the drawn triangles to a golf tee and the indicator's capability to help traders "see" or anticipate potential future price movements.
## Usage Disclaimer
The Seer Tee indicator serves as an analysis tool based on CRT-like methodology Still, all responsibility for the authorship and use of this script, "Seer Tee," rests with Jackrabbitrage, the script's author, and not with the CRT author and their pupils The author isn't affiliated with the CRT author or their pupils.
La mia strategiaMy strategy is based on the trend reversal that occurs when the exponential moving averages finally cross.
Swing High/Low by %REnglish Description
Swing High/Low by %R
This indicator identifies potential swing high and swing low points by combining William %R overbought/oversold turning points with classic swing price structures.
Swing High: Detected when William %R turns down from overbought territory and the price forms a local high (higher than both neighboring bars).
Swing Low: Detected when William %R turns up from oversold territory and the price forms a local low (lower than both neighboring bars).
This tool is designed to help traders spot possible market reversals and better time their entries and exits.
Customizable parameters:
Williams %R period
Overbought & Oversold thresholds
The indicator plots clear signals above/below price bars for easy visualization.
For educational purposes. Please use with proper risk management!
คำอธิบายภาษาไทย
Swing High/Low by %R
อินดิเคเตอร์นี้ใช้ระบุจุด Swing High และ Swing Low ที่มีโอกาสเป็นจุดกลับตัวของตลาด โดยอาศัยสัญญาณจาก William %R ที่พลิกกลับตัวบริเวณ overbought/oversold ร่วมกับโครงสร้างราคาแบบ swing
Swing High: เกิดเมื่อ William %R พลิกกลับลงจากเขต Overbought และราคาแท่งกลางสูงกว่าทั้งสองแท่งข้างเคียง
Swing Low: เกิดเมื่อ William %R พลิกกลับขึ้นจากเขต Oversold และราคาแท่งกลางต่ำกว่าทั้งสองแท่งข้างเคียง
ช่วยให้เทรดเดอร์สามารถมองเห็นโอกาสในการกลับตัวของราคา และใช้ประกอบการวางแผนจังหวะเข้าหรือออกจากตลาดได้อย่างแม่นยำมากขึ้น
ตั้งค่าได้:
ระยะเวลา Williams %R
ค่าขอบเขต Overbought & Oversold
อินดิเคเตอร์จะแสดงสัญลักษณ์อย่างชัดเจนบนกราฟเพื่อความสะดวกในการใช้งาน
ควรใช้ร่วมกับการบริหารความเสี่ยง
Cumulative Volume Delta (CVD)A simple Cumulative Volume Data (CVD) indicator.
Nothing more to say about it except that TradingView won't let me write a short description.
Enhanced QQE with Filters v6Indicator Name:
Enhanced QQE with Filters v6
Description:
This is an advanced version of the Quantitative Qualitative Estimation (QQE) indicator, enhanced with multiple filters and signal validation tools for cleaner entries and exits.
It helps traders detect:
Trend strength
Momentum shifts
Buy/Sell opportunities
…all with multi-timeframe filtering, trend confirmation, and buffer zone logic to reduce false signals.
Setup Inputs (and how to use them):
🔹 Source
The price used to calculate RSI.
Default: close
Use hl2 or ohlc4 for smoother signals.
🔹 RSI Length
Period used for the RSI.
Default: 14
Higher = smoother, slower response; lower = faster, more signals.
🔹 Smoothing Factor (SF)
Smooths the RSI to create QQE lines.
Default: 5
Increase for fewer, cleaner signals. Decrease for more sensitivity.
🔹 Show Buy/Sell Signals
Toggle on/off to show entry signals.
Default: true
🔹 Highlight Trend Zones
Fills the space between Fast & Slow lines with green/red zones.
Green when bullish, red when bearish.
Default: true
🔹 Show QQE Histogram
Plots the difference between Fast and Slow lines as a histogram.
Helps visualize momentum.
Default: true
🔹 Use Multi-Timeframe Filter
Validates signals only if they agree with a higher timeframe's trend.
Use this to align lower-timeframe trades with bigger-picture trends.
Default: false
🔹 MTF Resolution
The higher timeframe used for multi-timeframe filtering.
Example: "60" for 1H, "D" for Daily.
Only applies if Use Multi-Timeframe Filter is enabled.
🔹 Use EMA Trend Filter
Confirms trend direction using a moving average.
Prevents counter-trend trades.
Default: false
🔹 EMA Period for Trend
EMA period used in the trend filter.
Common: 50 (medium-term trend), or use 200 for long-term.
Only applies if Use EMA Trend Filter is enabled.
🔹 Use Buffer Zone for Strong Signals
Requires the QQE Fast line to break through the Slow line plus a buffer to trigger signals.
Helps reduce whipsaws.
Default: false
🔹 Buffer Multiplier
The size of the buffer used (based on ATRRSI).
Recommended range: 0.3 – 0.7
Only applies if Use Buffer Zone is enabled.
🔹 Enable Strong Signal Alerts
Turns on alerts when confirmed buy/sell signals are triggered.
Default: true
Logic Summary:
QQE Fast: Smoothed RSI (short-term)
QQE Slow: Adaptive line based on Fast line volatility
Buy Signal = Fast crosses above Slow (with optional filter confirmation)
Sell Signal = Fast crosses below Slow
Histogram shows momentum
Trend zones are shaded when trend direction is clearly bullish or bearish
How to Use It:
For Momentum Entries:
Enter long when:
Green histogram
Fast crosses above Slow
Signal is confirmed by Trend Filter or MTF (if enabled)
Enter short when:
Red histogram
Fast crosses below Slow
Confirmed by filter(s)
For Exit Strategy:
Use opposite signal
Or, exit manually on loss of color in fill zone
Alerts:
You can set alerts on any of these:
Strong Buy
Strong Sell
Cross above 50
Cross below 50
Symbol Seasonality Matrix (w/ BTC Base) Symbol Seasonality Matrix (w/ BTC Base)
Compare monthly performance between Bitcoin and any symbol across time
🧠 Overview
This indicator provides a side-by-side monthly return table of Bitcoin (BTCUSD from Bitfinex) and any selected symbol (e.g., ETH, stocks, etc.). It visualizes seasonality patterns, historical performance shifts, and relative trends in a clean matrix layout with dynamic line overlays.
⚙️ Mechanism
BTC Benchmarking:
BTC monthly returns are always shown as a benchmark against the selected chart symbol.
Monthly ROI Calculation:
For each month, the indicator tracks the open and close price and calculates the monthly return using:
(close_end - close_start) / close_start × 100%
It stores both price and return for BTC and the chart symbol.
Table Structure:
Each year is split into two halves:
2023 (Jan ~ Jun) and 2023 (Jul ~ Dec) for clarity.
Color Coding:
Green for positive months
Red for negative months
Monthly trend lines and labels drawn in consistent colors
Background shading per month helps track seasonality
Plot Modes:
regular: raw price
percent: relative % change from the start of selected period
normalized: base=1 scaling to compare trends
Time Range Selector:
You can define start time and end time for comparison — all logic, including table, plots, and highlights, will focus only on this window.
🧭 How to Use
Set the time range:
Choose a meaningful window such as the past 3 years or 2018–2021 to study behavior.
Compare Symbol vs BTC:
Load BTCUSD in a separate chart for baseline.
Switch to ETHUSD, SPY, or any altcoin/equity to view overlayed performance.
Analyze Seasonality:
Look for months with repeated strong/weak performance (e.g., BTC strong in October).
Compare how your asset aligns with BTC trends or diverges.
Choose View Mode:
Use percent to adjust Y-axis scaling and directly compare relative movements.
Use normalized to detect trend correlation without caring about price level.
🔍 Why It’s Useful
Spot seasonal alpha and align entries with favorable months
See if a symbol outperforms or underperforms BTC consistently
Get price-to-return context visually, not just via numbers
Quickly compare assets in real scale or normalized scale
📌 Tip
Try publishing this to a layout with multiple tickers (ETH, SOL, AAPL) to instantly switch comparisons.
Pair with volume-based or macro indicators to layer signals.
Bollinger Bands (BB) Multi-Timeframe Indicator [Pineify]Key Features
The Bollinger Bands Multi-Timeframe Indicator revolutionizes traditional volatility analysis by simultaneously displaying Bollinger Bands from both your current chart timeframe and a selected higher timeframe. This dual-band approach provides traders with comprehensive market structure insights that single-timeframe indicators cannot offer.
Dual Bollinger Bands visualization with distinct color coding
Customizable higher timeframe selection (default: 4-hour)
Independent length parameters for each timeframe
Clean overlay design with filled band areas for easy identification
Real-time multi-timeframe volatility assessment
How It Works
This indicator employs the classic Bollinger Bands formula using Simple Moving Average (SMA) with 2 standard deviations, but extends functionality through multi-timeframe analysis. The primary innovation lies in the request.security() function implementation, which fetches higher timeframe data and displays it on your current chart.
The calculation process involves:
Computing standard Bollinger Bands for current timeframe (20-period SMA ± 2 standard deviations)
Retrieving higher timeframe price data through security function
Calculating secondary Bollinger Bands using higher timeframe parameters
Overlaying both band sets with visual distinction
Trading Ideas and Insights
Multi-timeframe Bollinger Bands analysis enables sophisticated trading strategies:
When price approaches the upper band of the higher timeframe while remaining within the current timeframe bands, it suggests strong bullish momentum with potential continuation.
Key trading scenarios include:
Volatility squeeze identification when both timeframes show contracting bands
Breakout confirmation when price moves outside higher timeframe bands
Mean reversion opportunities within higher timeframe bands
Trend strength assessment through band position relationships
How Multiple Indicators Work Together
The combination of dual timeframe Bollinger Bands creates a hierarchical market structure view. The higher timeframe bands act as macro support and resistance levels , while current timeframe bands provide micro entry and exit signals .
This synergy works because:
Higher timeframe bands filter noise and identify major volatility zones
Current timeframe bands offer precise timing for trade execution
Overlapping band areas highlight critical decision points
Divergent band behavior reveals market regime changes
Unique Aspects
Unlike standard Bollinger Bands or basic multi-timeframe indicators, this tool specifically addresses the challenge of volatility context across different time horizons. The visual implementation uses color-coded fills and distinct line styles, making it immediately apparent when price is approaching significant volatility boundaries on either timeframe.
How to Use
Add indicator to your chart (works on any timeframe)
Observe band relationships: tight bands suggest low volatility, wide bands indicate high volatility
Watch for price interaction with higher timeframe bands for major signals
Use current timeframe bands for fine-tuning entry/exit points
Monitor band squeezes across both timeframes for breakout preparation
Customization
The indicator offers three key parameters:
Large TF : Select higher timeframe (default: 240 minutes/4 hours)
BB Length : Current timeframe moving average period (default: 20)
BB (Large TF) Length : Higher timeframe moving average period (default: 20)
Adjust these parameters based on your trading style: shorter periods for active trading, longer periods for swing trading approaches.
Conclusion
This Multi-Timeframe Bollinger Bands indicator bridges the gap between micro and macro market analysis, providing traders with contextual volatility information essential for informed decision-making. By combining traditional Bollinger Bands methodology with modern multi-timeframe capabilities, it delivers actionable insights for various trading strategies while maintaining visual clarity and ease of use.
CME Futures RTH net change % levelsRTH Session time calculated for AMERICAN FUTURES ONLY.
Plots the net change % from the last session's RTH close, a.k.a daily % change for that specific instrument. Best used as support and resistance zones in confluence with other analysis, and also serve as a gauge for how volatile the session is.
CRYPTOID by Ano_Jokamp354CRYPTOID by Ano_Jokamp354
Is a custom indicator I developed from a complex combination of fundamental and technical analysis elements. Despite its complexity, I’ve dedicated this script to be accessible and usable by everyone, as a form of gratitude to the market that has significantly improved my financial life. I come from Indonesia and have been involved in the capital market — specifically in the cryptocurrency industry — since 2016.
So, what makes this indicator different from other mainstream indicators?
This indicator is specifically designed to detect mid to long-term trading trends, making it highly suitable for those who aim to be Swing Traders or Investors , as it analyzes market conditions from a medium to long-term perspective.
SPECIFICATIONS
High Accuracy Level between 85% to 100%, depending on market conditions
Ideal for DCA (Dollar Cost Averaging) strategies
Identifies Market Cycle Bottoms & Tops
Analyzes market conditions based on average trader psychology
RULES
Recommended for use in Spot Market
Daily (D1) timeframe is mandatory
Choose assets ranked within the top 50 or 100 by market cap for safety
For every ENTRY, allocate only 10%–20% of your total fiat capital
For every EXIT, sell only 20% of your total crypto holdings
This indicator is specifically designed for Crypto instruments only
HOW TO USE
ENTRY when the background color turns green/blue & the psychological thread curves upward from below — make sure it's below the dotted line
EXIT when the background color turns red & the psychological thread curves downward from above
This script is unique and precise, even though it uses common components such as RSI, MACD, EMA, Volume, etc. However, with the right logic and design, this indicator can compete with top-tier premium paid indicators.
Disclaimer : “Although this indicator has relatively high accuracy, trading by nature is a high-risk activity. Therefore, always apply proper risk and money management when using it, and never trade recklessly or without rules.”
I hope this indicator will be useful for many traders around the world.
Best regards,
Ano_Jokamp354
Beta Tracker [theUltimator5]This script calculates the Pearson correlation coefficient between the charted symbol and a dynamic composite of up to four other user-defined tickers. The goal is to track how closely the current asset’s normalized price behavior aligns with, or diverges from, the selected group (or basket)
How can this indicator be valuable?
You can compare the correlation of your current symbol against a basket of other tickers to see if it is moving independently, or being pulled with the basket.... or is it moving against the basket.
It can be used to help identify 'swap' baskets of stocks or other tickers that tend to generally move together and visually show when your current ticker diverges from the basket.
It can be used to track beta (or negative beta) with the market or with a specific ticker.
This is best used as a supplement to other trading signals to give a more complete picture of the external forces potentially pulling or pushing the price action of the ticker.
🛠️ How It Works
The current symbol and each selected comparison ticker are normalized over a custom lookback window, allowing fair pattern-based comparison regardless of price scale.
The normalized values from 1 to 4 selected tickers are averaged into a composite, which represents the group’s collective movement.
A Pearson correlation coefficient is computed over a separate correlation lookback period, measuring the relationship between the current asset and the composite.
The result is plotted as a dynamic line, with color gradients:
Blue = strongly correlated (near +1)
Orange = strongly inverse correlation (near –1)
Intermediate values fade proportionally
A highlighted background appears when the correlation drops below a user-defined threshold (e.g. –0.7), helping identify strong negative beta periods visually.
A toggleable info table displays which tickers are currently being compared, along with customizable screen positioning.
⚙️ User Inputs
Ticker 1–4: Symbols to compare the current asset against (blank = ignored)
Normalization Lookback: Period to normalize each series
Correlation Lookback: Period over which correlation is calculated
Negative Correlation Highlight: Toggle for background alert and threshold level
Comparison Table: Toggle and position controls for an on-screen summary of selected tickers
imgur.com
⚠️ Notes
The script uses request.security() to pull data from external symbols; these must be available for the selected chart timeframe.
A minimum of one valid ticker must be provided for the script to calculate a composite and render correlation.
S.E.A.L. by NightPoetsch V 1.15SEAL Trading System – Precision Crypto Entry Tool
Author: Patrick Amadeu
Timeframes: 15m
Markets: Crypto (spot and futures)
Pairs: Oany crypto pairs
🚀 What is the SEAL Trading System?
The SEAL Trading System is a proprietary, confluence-based crypto indicator designed for traders who want high-probability entries based on technical precision, not guesswork.
Built by a former NAVY SEAL turned professional crypto trader, this system filters out noise and focuses on sniper-grade setups. Whether you're new to trading or already experienced, SEAL helps you know when to act and when to wait.
📊 Core Logic
This tool only prints a long or short signal when a strict set of conditions is met — no partial setups, no clutter.
Here’s what it checks before confirming a signal:
✅ Momentum Shift — VuManchu Buy/Sell Dot must appear at key wave levels
✅ Strength Check — RSI and MACD confirm underlying price power
✅ Trend Alignment — 9/21/50 EMAs and 200 EMA dashboard show bullish/bearish momentum
✅ Volume & Flow — VWAP confirms price is supported by volume
✅ Timing — Entry must happen within a candle validation window for precision
✅ Breakout Confirmation — Optional trendline breakout required before entry
Signals won’t appear unless all preset criteria are met, keeping your chart clean and your decisions focused.
🧠 Why It Works
Unlike other tools that react late or fire constantly, SEAL uses a multi-layered confluence system:
Tier 1: Core signal conditions (MACD cross, RSI position, VWAP flow)
Tier 2: Additional confirmations (EMA confluence, trendline breaks)
Tier 3: High-confluence clusters (ideal for scaling into bigger trades)
It’s like a military op — planned, calculated, and executed only when the odds are in your favor.
🔧 Settings & Alerts
Custom inputs let you adjust timeframes, trigger sensitivity, and validation windows.
Alerts can be set to notify you instantly when a Sniper Setup or Potential Setup is live.
📈 Best Use Cases
Scalping and intraday trades on 5m and 15m charts
Conservative entries with tight risk management
High-precision setups for serious traders
Works best during active trading hours (7 AM – 9 PM AEST)
💡 Final Word
If you’re tired of cluttered charts, vague signals, and emotional trades, the SEAL Trading System is your edge.
Stay disciplined. Stay precise. Trade like a SEAL.
Bullish Volume AnomalyAnomaly is designed to spot hidden bullish accumulation before price actually breaks out, by blending a trend-aware volume measure with a volatility-adjusted price channel. Here’s how it works:
First, it runs a simple ATR-based zigzag to identify the current swing direction. Volume is then signed (+ for up-trends, – for down-trends) and cumulatively summed. By converting that cumulative signed volume into a z-score over the past 480 bars, we get a sense of when buying or selling pressure is unusually strong relative to its own history.
At the same time, price itself is normalized into a z-score over the same 480-bar window, and its change over that period is also tracked. These two measures—volume z-score (s) and price z-score (p)—are compared, and the indicator looks for moments when s outpaces p by at least two standard deviations (s – p > 2), while price momentum change remains low (c < 1) and the net volume is positive (s > 0). That combination flags instances where heavy buying is taking place but price hasn’t yet reacted.
To define a dynamic trading zone, it plots a 288-bar EMA of price as the middle band (t2), and builds upper and lower bands around it using the average close-to-open range multiplied by a user-set factor. The lower band (t1) sits beneath the EMA by that volatility-based margin. A signal fires only when the bar’s high stays below t1—meaning price is still “sleeping” under the lower volatility boundary even as bullish volume builds up.
Together, these filters home in on anomalies: strong, trend-aligned volume surges that outstrip price movement, occurring while price sits below its lower volatility band. In practice, that often marks early accumulation before a breakout. You can tweak the ATR length and multiplier for the zigzag, as well as the channel period and range factor, to suit different markets or timeframes.
Pullback EMA - Yuri📈 Pullback Signals – Yuri Cabral
This indicator was developed to identify technical pullback opportunities within well-defined trends. It combines Stochastic RSI extremes, price interaction with the 100-period EMA, and trend confirmation via exponential moving averages.
⚙️ How it works
The indicator generates long (buy) pullback signals and short (sell) pullback signals based on the following conditions:
✅ Long Pullback (Buy):
Stochastic RSI indicates oversold (K < 20);
The candle touches the 100 EMA with its low (even if it closes above it);
The 21 EMA is above the 200 EMA, confirming uptrend;
The candle is bullish (close > open);
(Optional) Volume is above the 20-period average.
When all conditions are met, a green triangle (▲) is plotted below the candle.
🔻 Short Pullback (Sell):
Stochastic RSI indicates overbought (K > 80);
The candle touches the 100 EMA with its high (even if it closes below it);
The 21 EMA is below the 100 EMA, confirming downtrend;
The candle is bearish (close < open);
(Optional) Volume is above the 20-period average.
When all conditions are met, a red triangle (▼) is plotted above the candle.
🎯 Objective
This setup is ideal for traders looking to capture mean reversion entries within established trends. It highlights technical retracements toward dynamic support or resistance provided by the 100 EMA.
🧰 Additional Features
Plots of EMA 21 (short), EMA 100 (mid), and EMA 200 (long);
Optional green/red background zones highlight active pullback areas;
Optional volume filter for signal confirmation;
Built-in alerts for pullback long and pullback short signals.
⚠️ Disclaimer
This tool does not generate automated orders and should be used as a complement to your technical analysis. Always validate signals with other market context (price action, key levels, volume structure).
Color Vario Moving Average RibbonColor Vario Moving Average Ribbon – Smart Trend & Momentum Tool for Traders
The Color Vario Moving Average Ribbon is a powerful and customizable indicator that combines trend analysis, momentum detection, and volume confirmation — all in one clean and intuitive design.
🔍 Key Features:
✅ Dynamic Moving Averages (Up to 4)
• Choose from SMA, EMA, WMA, VWMA, or SMMA.
• Each MA line changes color based on price position (above = bullish, below = bearish).
• Great for spotting trend direction and momentum shifts at a glance.
📏 Distance from MAs (Table Display)
• Real-time display of how far price is from each MA (in % and points).
• Helps you assess extension, pullback depth, or reversion potential quickly.
📈 ADR% (Average Daily Range)
• Calculates average volatility using high-low ranges.
• Useful for setting realistic targets, stops, and risk assessments.
🔊 RVol (Relative Volume)
• Compares current volume to the average of recent days.
• Highlights whether volume is above or below normal (green = strong, red = weak).
• Perfect for volume confirmation during entries or breakouts.
⚡ Yellow Dot Signal (Momentum Spike)
• Appears when:
• Price moves more than a custom % from the previous candle.
• Volume is higher than your defined minimum.
• A visual cue for strong price + volume moves, helping you catch momentum trades early.
🎨 UI Customization
• Light/Dark mode compatibility.
• Adjust table size and position for your layout preference.
⸻
🚀 Who Should Use This?
This indicator is ideal for:
• Swing Traders looking for clean trend signals
• Intraday Traders who rely on momentum and volume
• Positional Traders tracking price behavior around key MAs
⸻
📌 Final Words
The Color Vario MA Ribbon is more than just a ribbon — it’s a compact trend, momentum, and volume dashboard built for traders who need clarity and precision.
Whether you’re looking for cleaner entries, stronger confirmations, or smarter exits, this tool adds serious edge to your trading chart.
💬 Don’t forget to give your feedback in the comments!
HGDA Hany Ghazy Digital Analytics area zone'sIndicator Name: HGDA Hany Ghazy Digital Analytics area zones
Description:
This indicator plots several key price zones based on the highest high and lowest low over a user-defined lookback period.
The plotted zones represent dynamic support and resistance levels calculated using specific ratios of the price range (High - Low), as follows:
- Zone 1 (Light Red): Represents an upper resistance zone.
- Zone 2 (Medium Green): Represents a medium support zone.
- Zone 3 (Dark Red): Represents a lower resistance zone.
- Zone 4 (Dark Green): Represents a strong support zone.
Additionally, the indicator plots a yellow "Zero" line representing the midpoint price of the selected period, serving as a balance point for price action.
This indicator is ideal for identifying the overall market trend, as prices typically move from the upper resistance zones (light red) downwards to the end of the wave in the lower zones (dark green). This helps traders better understand wave nature and direction.
Usage:
- The colored zones assist in identifying potential reversal or continuation areas.
- These zones can be used to plan entries, exits, and risk management.
- Default lookback period is 20 bars, adjustable in the settings to suit the timeframe.
Notes:
- This indicator relies on historical price data and does not guarantee market predictions.
- It is recommended to combine it with other indicators and analytical tools for improved trading decisions.
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Developed by Hany Ghazy Digital Analytics (HGDA).
Sniper SweepsPurpose
Detect when price sweeps above recent highs (buy-side liquidity) or below recent lows (sell-side liquidity), but closes back inside the range. This is often interpreted as a stop-hunt or liquidity grab by institutional traders.
Core Concepts
Liquidity Sweep: When price briefly breaks a recent swing high/low (potentially triggering stop losses), but then closes back within the previous range.
Buy-side Sweep: Price breaks a previous high, but closes below it.
Sell-side Sweep: Price breaks a previous low, but closes above it.
Summary
This indicator is useful for:
Identifying potential stop-hunts or liquidity grabs.
Recognizing SMC trade setups around swept highs/lows.
Getting alerted when significant liquidity levels are manipulated.
Consolidation Range [BigBeluga]A hybrid volatility-volume indicator that isolates periods of price equilibrium and reveals the directional force behind each range buildup.
Consolidation Range is a powerful tool designed to detect compression phases in the market using volatility thresholds while visualizing volume imbalance within those phases. By combining low-volatility detection with directional volume delta, it highlights where accumulation or distribution is occurring—giving traders the confidence to act when breakouts follow. This indicator is particularly valuable in choppy or sideways markets where range identification and sentiment context are key.
🔵 CONCEPTS
Volatility Compression: Uses ADX (Average Directional Index) to detect periods of low trend strength—specifically when ADX drops below a configurable threshold.
Range Structure: Upon a low-volatility trigger, the script dynamically anchors horizontal upper and lower bounds based on local highs and lows.
Directional Volume Delta: Inside each active range, it calculates the net difference between buy and sell volume, showing who controlled the range.
Sentiment Bias: A label appears in the center of the zone on breakout, showing the accumulated delta and bias direction (▲ for positive, ▼ for negative).
Range Validity Filter: Only ranges with more than 15 bars are considered valid—short-lived consolidations are auto-filtered.
🔵 KEY FEATURES
Detects low volatility market phases using ADX logic (crosses under "Volatility Threshold Input").
Automatically plots adaptive consolidation zones with upper and lower boundary lines.
Includes dynamic midline to visualize the price average inside the range.
Visual range is filled with a progressive gradient to reflect distance between highs and lows.
When the range is active, the indicator accumulates volume delta (Buy - Sell volume) .
Upon breakout, the total volume delta is displayed at the midpoint , providing insight into market sentiment during the consolidation phase.
Filters out weak or short-lived consolidations under 15 bars.
🔵 HOW TO USE
Spot ranging or compression zones with minimal effort.
Use breakouts with volume delta bias to assess the strength or weakness of moves.
Combine with trend-following tools or volume-based confirmation for stronger setups.
Apply to higher timeframes for macro consolidation tracking .
🔵 CONCLUSION
Consolidation Range now brings together volatility filtering and directional volume delta into one smart module. This hybrid logic allows traders to not only identify balance zones but also understand who was in control during the buildup—offering a sharper edge for breakout and trend continuation strategies.
