AethryonAethryon
Designed to provide a comprehensive market sentiment analysis by combining multiple technical indicators into a normalized Z-Score. It is suitable for assets like Bitcoin, on any timeframe.
Key Features:
Indicator Aggregation: Integrates RSI, Stochastic, Stochastic RSI, CCI, Bull Bear Power, Moving Average, VWAP Bands, Bollinger Bands, Supertrend, Linear Regression, and Market Structure, normalized to a 0-100 scale.
Customizable Inputs:
Z-Score lookback period (default 50) and upper/lower thresholds (default ±2.0).
Individual indicator settings (e.g., lengths, sources, multipliers).
Visualization options including style (Gradient, Bands, Pulses, Binary), glow effect, signals, thresholds, and dashboard size.
Visualization:
Plots a sentiment Z-Score line with a futuristic color scheme (cyan-green for bearish, magenta-red for bullish).
Features a gradient fill, bands, pulses, or binary visualization based on user selection.
Displays triangular buy/sell signals and threshold grid lines.
A dashboard shows value, trend, strength, signal, Z-Score, and system status with a neo-tech aesthetic.
Usage:
Helps traders gauge overall market sentiment and identify overbought/oversold conditions based on the Z-Score.
The dashboard provides real-time insights into trend direction, strength, and trading signals.
Ideal for overlay on a 1-day chart to monitor sentiment trends, as depicted in the Bitcoin/USD chart.
Analisi trend
Indicator TesterIndicator Tester
Designed to evaluate and backtest a composite trading signal based on multiple technical indicators across volatility, volume, momentum, and moving average categories. It is suitable for assets like Bitcoin, on all timeframes.
Key Features:
Indicator Selection: Allows users to enable/disable indicators such as CCI, Bollinger Bands, RVI, MFI, VZO, EFI, KVO, VPT, COPP, RSI, StochRSI, MOM, TRIX, SMI, MA Cross, RTI, and Simple MA, with customizable parameters.
Customizable Inputs:
Individual indicator settings (e.g., lengths, thresholds).
Flip threshold to adjust the signal activation point.
Backtest settings including custom start date, signal type (Long & Short, Long Only, Short Only), and fees.
Table positions for performance and settings display.
Visualization:
Plots an equity curve (orange for positive signals, white otherwise) and a buy-and-hold equity curve (blue).
Displays a performance table comparing indicator equity, drawdown, standard deviation, Sharpe, Sortino, and Omega ratios with buy-and-hold metrics.
A settings table shows backtest start date, fees, number of indicators used, and flip threshold.
Usage:
Enables traders to test and optimize a strategy by combining selected indicators, with performance metrics calculated from the equity curve.
The equity curve and backtest tables help compare the strategy against a buy-and-hold approach.
Ideal for overlay on a 1-day chart to analyze historical performance, as depicted in the Bitcoin/USD chart.
zavaUnni- Trendlines Pro & fibonacci Zones zavaUnni- Trendlines Pro & fibonacci Zones is a momentum-based trading tool that automatically detects pivot points to visualize real-time trendlines, zigzag structures, and Fibonacci retracement zones.
Key Features
1. Divergence-Based Pivot Detection
Utilizes popular momentum indicators like RSI, CCI, MACD CCI, OBV, etc.
Automatically detects significant highs/lows based on divergence signals
These pivot points are used to construct trendlines and calculate retracement zones
2. Automatic Fibonacci Retracement Zones
Draws Fibonacci levels such as 0.382, 0.618, and 0.786 from detected pivot highs/lows
Supports both initial fixed levels and dynamic updated zones based on live price action
Recalculates zones automatically when specific price conditions are met
3. Supertrend-Based Zigzag and Trendlines
detect real-time trend direction changes
Plots zigzag lines between significant pivot highs/lows
Automatically generates trendlines only when slope conditions are met (e.g., below -3° or above +1°)
Invalidates and resets trendlines if broken or the slope becomes too flat/steep
Settings Overview
Index
Selects the indicator (RSI, CCI, MACDcci, OBV, etc.) used for pivot detection
zigzag Length
Supertrend sensitivity period for direction changes
Fibonacci_bg
Toggle background color fill for Fibonacci zones
Fibonacci_label
Show labels for each Fibonacci level (23.6%, 38.2%, etc.)
Bull Trend Line Color
Color of upward trendlines
Bear Trend Line Color
Color of downward trendlines
zigzag_color
Color of the zigzag lines
NACHO_MC/KAS_MCThis indicator allow to see the Nacho dominance % vs KAS, based on the real circulating supply.
Dr. Fib - FGBAB - Automatic Fibonacci Levels v2.0This indicator draws automatic Fibonacci retracements and projections on the chart.
Fibonacci levels are full customizable (color, line, width) once added into the chart it will calculate the higher high and lower lows based on the NumberOfBars input parameter (100 bars by default) so you can use in any timeframe to know possible retracements levels and target projection levels.
Excellent tool for trading stocks, crypto and futures.
Feel free to follow on X @FGBAB.
Thanks for using it.
Dr. Fib – FGBAB.
Aroon, Velocity & RMS Volume Strategy📈 Strategy Name:
Aroon, Velocity & RMS Volume Strategy
By GabrielAmadeusLau
🧠 Strategy Overview
This strategy is a hybrid momentum-trend model designed to trade directional breakouts using Aroon Oscillator crossovers, volume acceleration (velocity), and trend confirmation via a Super Smoother filter. Trade entries are filtered by custom time windows, and position sizing is dynamically calculated using ATR-based risk parameters.
🧩 Core Components
🔶 1. Aroon Oscillator
Detects breakout points using the relative position of recent highs/lows.
Aroon Up > Aroon Down triggers long setups; the opposite for short.
A baseline shift (-50) centers the Aroon plots for symmetry.
📉 2. Super Smoother Trend Filter
A zero-lag digital filter (2-pole smoother) applied to price.
Acts as a directional bias confirmation:
Price must be above the smoother for longs.
Price must be below for shorts.
📊 3. Velocity of RMS Volume
Measures the rate of change of volume, enhanced with RMS normalization and bandpass filtering.
Entries are only taken when volume velocity is rising, indicating increasing market activity in the trade direction.
⚙️ Entry Conditions
✅ Long Entry
Aroon Up crosses above Aroon Down
Price is above the Super Smoother
Volume velocity is rising
Current hour is not excluded
✅ Short Entry
Aroon Down crosses above Aroon Up
Price is below the Super Smoother
Volume velocity is rising
Current hour is not excluded
🔒 Risk Management & Position Sizing
ATR-Based Stop Loss & Take Profit:
SL = entry price ± ATR × sl_mult
TP = entry price ± ATR × tp_mult
Fixed Dollar Risk per Trade ($):
Position size is auto-calculated using:
units
=
⌊
User Risk
Stop Distance
⌋
units=⌊
Stop Distance
User Risk
⌋
🕐 Time Filtering
User-defined option to exclude up to three hours from trading (e.g., during low-liquidity or poor-performance times).
Controlled via:
excludeHour toggle
excludeHour1, excludeHour2, excludeHour3
📺 Visuals and Plots
Aroon Up / Down: shifted to oscillate around 0 for visual clarity.
Super Smoother: thick red trend line over price.
Velocity: dynamically shaded area chart (teal = increasing, red = decreasing).
🧠 Advanced Features (Behind-the-Scenes)
Includes modular filters and custom smoothing techniques for expansion:
Jurik MA, Butterworth HP, Laguerre Filter, Tillson T3, Hann FIR, RMS Scaling
Modular ma() and velocity() functions enable future extension and dynamic experimentation.
✅ Strengths
Combines trend, momentum, and volume in a single signal framework.
Employs robust digital signal processing filters for noise reduction.
Custom position sizing + time filtering add risk control and flexibility.
Trend Range Detector (Zeiierman)█ Overview
Trend Range Detector (Zeiierman) is a market structure tool that identifies and tracks periods of price compression by forming adaptive range boxes based on volatility and price movement. When prices remain stable within a defined band, the script dynamically draws a range box; when prices break out of that structure, the box highlights the breakout in real-time.
By combining a volatility-based envelope with a custom weighted centerline, this tool filters out noise and isolates truly stable zones — providing a clean framework for traders who focus on accumulation, distribution, breakout anticipation, and reversion opportunities.
Whether you're range trading, spotting trend consolidations, or looking for volatility contractions before major moves, the Trend Range Detector gives you a mathematically adaptive, visually intuitive structure that maps the heartbeat of the market.
█ How It Works
⚪ Range Formation Engine
The core of this indicator revolves around two conditions:
Distance Filter: The maximum distance between all recent closes and a dynamic centerline must remain within a volatility envelope.
Volatility Envelope: Based on an ATR(2000) multiplied by a user-defined factor to account for broader market volatility trends.
If both conditions are satisfied over the most recent length bars, a range box is drawn to visually anchor the zone.
⚪ Dynamic Breakout Coloring
When price breaks out of the top or bottom of the active range box, the box color shifts in real-time:
Blue Boxes represent areas where price has remained within a defined volatility envelope over a sustained number of bars. These zones reflect stable, low-volatility periods, often associated with consolidation, equilibrium, or market indecision.
Green Boxes for bullish breakouts.
Red Boxes for bearish breakdowns.
This allows traders to visually spot transitions from consolidation to expansion phases without relying on lagging signals.
█ Why Use a Weighted Close Instead of SMA?
A standard Simple Moving Average (SMA) treats all past closes equally, which works well in theory, but not in dynamic, fast-shifting markets. In this script, we replace the traditional SMA with a speed-weighted average that reflects how aggressively the market has moved bar-to-bar.
⚪ Here's why it matters:
Bars with higher momentum (larger price differences between closes) are given more weight.
Slow, sideways candles (typical in noise or low volume) contribute less to the calculated centerline.
This method creates a more accurate snapshot of market behavior, especially during volatile phases. As a result, the indicator adapts to market conditions more effectively, helping traders identify real consolidation zones, not just average lines distorted by flat bars or noise.
█ How to Use
⚪ Range Detection
Boxes form only when price remains consistently close to the speed-weighted mean.
Helps identify sideways zones, consolidations, and low-volatility structures where price is “charging up.”
⚪ Breakout Confirmation
Once price exits the top or bottom boundary, the box immediately highlights the direction of the break.
Use this signal in conjunction with your own momentum, volume, or trend filters for higher-confidence trades.
█ Settings
Minimum Range Length: Number of candles required for a valid range to form.
Range Width Multiplier: Adjusts the envelope around the weighted average using ATR(2000).
Highlight Box Breaks: Enables real-time coloring of breakouts and breakdowns for immediate visual feedback.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Basic ORB [MOT]🟢 Basic ORB – Opening Range Breakout Indicator by MOT
The Basic ORB is a high-performance Opening Range Breakout (ORB) tool built for serious intraday traders. This indicator is being provided to the public for free.
It automatically draws the high, low, and midline of the 9:30–9:45 AM ET session, giving you a visual framework for high-probability breakout and reversal opportunities. You can customize line colors and enable historical ORBs — all from a clean, intuitive interface.
📌 1. ORB High, Low & Midline Levels
Function: Automatically draws the high, low, and midpoint of the 9:30–9:45 session.
ORB High (green line by default)
ORB Low (red line by default)
Midline (white line) helps gauge control or range equilibrium
📸 Live ORB range drawing: high, low, and midline levels.
🔁 2. Show Previous ORBs
Function: Displays up to N previous days' ORBs for pattern recognition or confluence stacking.
Previous ORB count up to chart data maximum
Great for seeing whether price respects prior opening ranges
📸 Historical ORB ranges for confluence and support/resistance.
🏷️ 3. Dynamic Price Labels
Function: Price labels are placed next to each ORB for quick visibility.
Labels can be toggled on/off
Customizable text color, background color, and size
Offset control available
⚙️ 4. Fully Customizable Settings Panel
Function: Every visual element is adjustable, including:
✅ Line color and width
✅ Number of historical ORBs
✅ Label size, position, background/text color
📈 Use Case
Works best on 1m, 5m, or 15m charts
Ideal for breakout traders, reversal scalpers, or gap/ORB retest strategies
Applies to futures, stocks, ETFs, indexes, and crypto
⚠️ Disclaimer
This indicator is intended for educational and informational purposes only. It is not financial advice. Trading involves substantial risk. Always use proper risk management and test in a simulated environment before applying live. The author is not liable for any fi
Multi-Timeframe SMTSummery
The Multi-Timeframe SMT indicator is designed to identify and visualize Higher Timeframe (HTF) data on a Lower Timeframe (LTF) chart, allowing traders to see the broader market context without changing their current chart's resolution. It accurately draws pivots and SMT divergences from higher timeframes on the corresponding candles of your current lower timeframe chart.
Its core features include:
Multi-Timeframe Analysis: Configure and monitor pivots on up to four independent timeframes, from intraday to monthly.
Customizable Pivot Detection: Define the strength of pivots by adjusting the number of bars to the left and right.
SMT Divergence: Automatically identifies bullish and bearish SMT divergences by comparing the price action of the main chart symbol with a chosen correlated asset.
Early SMT Detection: A unique feature that monitors a lower "detection timeframe" to provide early warnings of potential SMT setups before they're confirmed on the main timeframe. Note that this early detection is only shown on timeframes equal to or lower than the "Detection timeframe" you have set.
Visual Cues & Alerts: Clear on-chart labels, lines, and fully customizable alerts notify you of confirmed pivots and SMT divergences, ensuring you don't miss key opportunities.
Important Nuance Regarding Pivot Label Display
Due to a self-imposed limit within this script's drawing management logic, the indicator might quickly reach its drawing capacity if you enable pivot crosses for multiple timeframes simultaneously. When this internal drawing limit is exceeded, the script is designed to automatically remove the oldest drawings to make space for new ones.
Therefore, to ensure optimal performance and visibility of the most recent and relevant pivots, it's highly recommended to only enable the "Show Pivot Crosses" option for one timeframe at a time. If you wish to view pivots for a different timeframe, simply disable the pivot crosses for the currently active timeframe and then enable them for your desired one. This approach prevents the rapid cycling and disappearance of pivot labels, providing a clearer and more stable visual experience.
In-Depth Explanation of the Logic
This script is built on two primary concepts: pivot points and Smart Money Technique (SMT) divergence. It systematically collects historical data on multiple timeframes, identifies pivots, and then compares them between two assets to find divergences.
Pivot Point Identification
A pivot is a turning point in the market. A pivot high is a candle that has a higher high than the candles to its immediate left and right. Conversely, a pivot low is a candle with a lower low than its neighbors.
How it Works in the Script:
The script tracks the highest high and lowest low for each period of the selected timeframe (e.g., for each 4-hour candle). When a new high-timeframe candle closes, it stores that high/low value and its bar index in an array. The checkForPivot() function then checks if a recently stored high or low qualifies as a pivot.
Key Inputs:
Left Strength (leftBars1): The number of candles to the left that must have a lower high (for a pivot high) or higher low (for a pivot low).
Right Strength (rightBars1): The number of candles to the right that must meet the same criteria.
For example, with Left Strength and Right Strength both set to 3, a pivot high is only confirmed when its high is greater than the highs of the 3 previous high-timeframe candles and the 3 subsequent high-timeframe candles. Increasing these values will identify more significant, longer-term pivots.
Smart Money Technique (SMT) Divergence
SMT Divergence is a concept popularized by The Inner Circle Trader (ICT). It occurs when two closely correlated assets fail to move in sync. For instance, if Asset A makes a higher high but Asset B fails to do so and instead makes a lower high, this creates a bearish SMT divergence. It suggests that the "smart money" may not be supporting the move in Asset A, signaling a potential reversal.
Bearish SMT: Main asset makes a higher high, while the correlated asset makes a lower high. This is a potential sell signal.
Bullish SMT: Main asset makes a lower low, while the correlated asset makes a higher low. This is a potential buy signal.
How it Works in the Script:
Data Request: For each timeframe, the script uses the request.security() function to fetch the high and low data for both the main chart symbol (syminfo.tickerid) and the chosen Comparison Asset.
Pivot Comparison: When a new pivot is confirmed on the main asset, the script checks if a corresponding pivot also formed on the comparison asset at the same time.
Divergence Check: It then compares the direction of the pivots. For a bearish SMT, it checks if the main asset's new pivot high is higher than its previous pivot high, while the comparison asset's new pivot high is lower than its previous one. The logic is reversed for bullish SMT.
Visualization: If a divergence is found, the script draws a red (bearish) or green (bullish) line connecting the two pivots on your chart and places an "SMT" label.
Early SMT Detection
This is a proactive feature designed to give you a heads-up. Waiting for a 4-hour or daily pivot to form can take a long time. The early detection system looks for SMT divergences on a much smaller, user-defined Detection timeframe (e.g., 15-minute).
How it Works in the Script:
Awaiting Setup: After a primary pivot (Pivot A) is formed on the main timeframe (e.g., a Daily pivot high), the script begins monitoring.
Intraday Monitoring: It then watches the Detection timeframe (e.g., 15-minute) for smaller intraday pivots.
Potential Divergence: It looks for an intraday pivot that forms a divergence against the primary Pivot A.
Watchline & Alert: When this "potential" divergence occurs, the script draws a dashed white line and triggers a "Potential SMT" alert. This isn't a confirmed SMT on the main timeframe yet, but it's a powerful early warning that one may be forming.
Drawing & Object Management
To keep the chart clean and prevent performance issues, the script manages its drawings (lines and labels) efficiently. It stores them in arrays and uses a drawing limit to automatically delete the oldest drawings as new ones are created, ensuring your TradingView remains responsive.
How to Use the Indicator
Configuration
Enable Timeframes: Use the checkboxes (Enable Timeframe 1, Enable Timeframe 2, etc.) to activate the timeframes you want to monitor. It's often best to start with one or two to keep the chart clean.
Select Timeframes: Choose the higher timeframes you want to analyze (e.g., 240 for 4-hour, D for Daily, W for Weekly).
Set Pivot Strength: The default of 3 for Left/Right strength is a good starting point. Increase it to find more significant market structure points or decrease it for more frequent, shorter-term pivots.
Configure SMT:
Check Enable SMT for the timeframes where you want to detect divergence.
Enter a Comparison Asset . This is crucial. Ensure the assets are correlated.
To use the early warning system, check Enable early SMT detection and select an appropriate Detection timeframe (e.g., 15 or 60 minutes for a Daily analysis).
Multi-Timeframe TrendTrend Analyze for All Timeframes and All Pairs – Indicator Description
This indicator is built to give traders a clear and comprehensive understanding of market direction across all timeframes and currency pairs. It starts with a full trend analysis that automatically scans multiple timeframes—from lower timeframes like M1 and M5 to higher ones such as H1, H4, D1, and beyond—providing a complete overview of whether the market is currently in an uptrend, downtrend, or sideways phase.
Unlike basic trend tools, this indicator intelligently detects the dominant trend using a combination of technical structures such as swing highs and lows and support & resistance zones (SNR). It gives traders a quick but in-depth snapshot of market strength and direction, helping to reduce confusion and increase confidence in decision-making.
One of the key features is its all-pairs compatibility. Whether you're trading major pairs, minor pairs, or exotic currencies, the indicator can analyze them all. There's no need to open charts one by one — this tool helps you save time by providing a consolidated trend view in a compact dashboard.
Key Features:
Multi-Timeframe Trend Scanner – Instantly analyze trends across different timeframes in one glance.
Dashboard Display – A compact panel on your chart showing trend status for each selected timeframe.
All Pair Compatibility – Works seamlessly with all forex pairs, including majors, minors, and exotics.
Adaptable to All Trading Styles – Suitable for scalping, intraday, swing, and even long-term trading.
This indicator is perfect for traders who use multi-timeframe analysis (MTFA) and want to spot high-probability entries based on confirmed trends. Whether you're a beginner looking for clarity or an experienced trader wanting to streamline your analysis, this tool is designed to help you stay one step ahead in the market
Trinity Multi Time Frame Trend DashboardNote: This is based on trading view indicator but I am unsure the original name or author to give recognition. If you know the name of the indicator or author then please let me know and I can update this script to give recognition.
Below is a list of the changes this code has gone through and all settings are editable.
Changes:
Changed: timeline from 5 to 3 mins for faster scalping, changed the RSI, CCI and MACD values for faster signals as well as the below to update the code to latest pine script and for optimizations.
Structure and Optimization: The original script used individual variables for each timeframe (e.g., emaFast_3min, emaFast_15min), leading to repetitive code. The latest version uses arrays (e.g., emaFast as array.new_float(7, na)) to store values for all timeframes, making the code more compact and maintainable. However, due to Pine Script limitations with loops and request.security, the calculations are unrolled (explicitly computed for each timeframe i=0 to 6) instead of using a loop for security calls.
Timeframe Handling: Removed the timeframes array in the final version (as loops couldn't be used with variable timeframes in request.security due to requiring 'simple string' arguments). Instead, hardcoded the timeframe strings ("3", "15", etc.) directly in each block. Kept timeframe_labels array for display purposes.
Volume Calculation: Precomputed volume3 for the 3M timeframe outside the blocks. For 15M and 30M, used ta.sma(volume3, 3) and ta.sma(volume3, 6) respectively, as in the original, but integrated into unrolled blocks. Renamed volume arrays to tfVolume and tfVma to avoid conflicts with built-in volume.
MACD Calculation: In the original, used to ignore the histogram. The latest version does the same but assigns to temporary variables like macd0, signal0 for each timeframe to avoid tuple assignment issues.
Trend Determination: Used arrays for all boolean conditions (e.g., isBullish as array.new_bool(7, false)). Set values in a loop, which works since no security calls are involved here.
Added Signal Row: Introduced a new row in the table labeled "Signal". For each timeframe, it shows:
"Buy" (green) if EMA, MACD, RSI, and CCI are all bullish.
"Sell" (red) if all are bearish.
"⚠" (yellow) if not fully aligned
Table Dimensions: Updated the table to 9, 8 (columns, rows) to accommodate the new "Signal" row.
Color for Signal: In the table cell for signal, added coloring: green for "Buy", red for "Sell", yellow for "⚠".
Array Declarations: Used array.new_float, array.new_bool, etc., without qualifiers to fix template errors. Initialized with na for floats/colors, false for bools, "" for strings.
Error Fixes: Resolved various syntax/type issues, such as avoiding series in array templates, ensuring 'simple string' for timeframes in request.security, and proper tuple unpacking for MACD.
Overall Code Length: The latest version is longer due to unrolled calculations but more robust and error-free.
Triple Banded Momentum CloudTriple Banded Momentum Cloud (TBMC) is an advanced, customizable momentum indicator that blends multiple moving averages with layered volatility zones. It builds on the DBMC framework by allowing full control over the type and length of three distinct moving averages: signal, trend, and base.
Signal MA tracks short-term price momentum.
Trend MA anchors the core standard deviation bands.
Base MA provides long-term market context.
Three volatility bands (A/B/C) adapt dynamically to market conditions using user-defined standard deviation multipliers.
Momentum Cloud shades between signal and base for a directional read.
This tool is highly adaptable — suitable for trend-following, mean reversion, or volatility breakout strategies. Customization is key: choose MA types (SMA, EMA, RMA, etc.) to match your trading context.
RSI Ichimoku-like (Subchart) tohungmcThe RSI Ichimoku-like (Subchart) indicator offers a novel approach to technical analysis by uniquely combining the Relative Strength Index (RSI) with the principles of the Ichimoku Kinko Hyo system. Unlike traditional Ichimoku, which is applied to price data, this indicator innovatively uses RSI values to construct Ichimoku components (Conversion Line, Base Line, Leading Span 1, Leading Span 2, and Cloud). Displayed on a separate subchart, it provides traders with a powerful tool to analyze momentum and trend dynamics in a single, intuitive view.
Unique Features
Innovative RSI-based Ichimoku System: By applying Ichimoku calculations to RSI instead of price, this indicator creates a momentum-driven trend analysis framework, offering a fresh perspective on market dynamics.
Cloud Visualization: The cloud (formed between Leading Span 1 and 2) highlights bullish (green) or bearish (red) momentum zones, helping traders identify trend strength and potential reversals.
Customizable Parameters: Adjust RSI and Ichimoku periods to suit various trading styles and timeframes.
Subchart Design: Keeps your price chart clean while providing a dedicated space for momentum and trend analysis.
Components
RSI Line: A 14-period RSI (customizable) plotted in blue, with overbought (70) and oversold (30) levels marked for quick reference.
Conversion Line: Average of the highest and lowest RSI over 9 periods, acting as a short-term momentum indicator.
Base Line: Average of the highest and lowest RSI over 26 periods, serving as a medium-term trend guide.
Leading Span 1: Average of Conversion and Base Lines, shifted forward 26 periods.
Leading Span 2: Average of the highest and lowest RSI over 52 periods, shifted forward 26 periods.
Cloud: The area between Leading Span 1 and 2, colored green (bullish) when Span 1 is above Span 2, and red (bearish) when Span 2 is above Span 1.
How to Use
Momentum Analysis:
Monitor the RSI line for overbought (>70) or oversold (<30) conditions to spot potential reversals.
A RSI crossing above 30 or below 70 can indicate shifts in momentum.
Trend Identification:
When the RSI is above the cloud and the cloud is green, it suggests bullish momentum.
When the RSI is below the cloud and the cloud is red, it indicates bearish momentum.
Crossovers:
RSI crossing above the Conversion or Base Line may signal bullish opportunities, especially if aligned with a green cloud.
RSI crossing below these lines may suggest bearish opportunities, particularly with a red cloud.
Cloud Breakouts:
A RSI breaking through the cloud can signal a potential trend change, with the cloud’s color indicating the direction.
Customization:
Adjust the RSI Period (default: 14), Conversion Line Period (default: 9), Base Line Period (default: 26), and Leading Span 2 Period (default: 52) to match your trading timeframe or strategy.
Settings
RSI Period: Default 14. Increase for smoother signals or decrease for higher sensitivity.
Conversion Line Period: Default 9. Adjust for short-term momentum sensitivity.
Base Line Period: Default 26. Modify for medium-term trend analysis.
Leading Span 2 Period: Default 52. Tune for long-term trend context.
Why Closed Source?
The unique methodology of applying Ichimoku calculations to RSI, combined with optimized subchart visualization, represents a proprietary approach to momentum and trend analysis. Protecting the source code ensures the integrity of this innovative concept while allowing traders worldwide to benefit from its functionality.
Notes
This indicator does not generate explicit Buy/Sell signals, giving traders flexibility to interpret signals based on their strategies.
Best used in conjunction with other technical tools (e.g., support/resistance, candlestick patterns) for confirmation.
Suitable for all timeframes, from intraday to long-term trading.
The Trend Bot🤖 The Trend Bot — Advanced Trend Following Strategy
The Trend Bot is a sophisticated algorithmic trading strategy designed to capitalize on market trends by combining multiple timeframe analysis with dynamic signal generation. This strategy is built for traders who want to follow the path of least resistance while maintaining disciplined risk management.
✨ Key Features:
Multi-Timeframe Confluence : Utilizes higher timeframe trend analysis to filter trades and ensure alignment with the broader market direction
Dynamic Signal System : Generates precise entry signals based on momentum shifts and trend confirmation
Intelligent Take Profit : Automatically identifies optimal exit points based on trend reversal patterns
Real-Time Performance Tracking : Built-in performance table displaying key metrics including net profit, win rate, maximum drawdown, and profit factor
Customizable Visual Elements : Fully customizable colors and display options for personalized chart presentation
📊 What It Does:
The Trend Bot monitors market structure and momentum to identify high-probability trading opportunities. It combines short-term price action signals with longer-term trend analysis to ensure trades are taken in the direction of the prevailing market trend. The strategy automatically manages both entries and exits, removing emotional decision-making from your trading process.
🎯 Perfect For:
Swing traders looking for trend-following opportunities
Traders who prefer systematic, rule-based approaches
Those seeking to reduce emotional trading decisions
Both manual and automated trading setups
⚙️ Customization Options:
Adjustable timeframe filters for different trading styles
Customizable visual alerts and notifications
Flexible display settings for optimal chart presentation
Color-coded trend and signal visualization
📈 Built-in Analytics:
Track your strategy performance with real-time metrics including profit factor, win rate, total trades, and maximum drawdown — all displayed in an elegant, customizable table directly on your chart.
Note: Past performance does not guarantee future results. Always test strategies thoroughly and manage risk appropriately.
MCPZ - Meme Coin Price Z-Score [Da_Prof]Meme Coin Price Z-score (MCPZ). Investor preference for meme coin trading may signal irrational exuberance in the crypto market. If a large spike in meme coin price is observed, a top may be near. Similarly, if a long price depression is observed, versus historical prices, that generally corresponds to investor apathy, leading to higher prices. The MEME.C symbol allows us to evaluate the sentiment of meme coin traders. Paired with the Meme Coin Volume (MCV) and Meme Coin Gains (MCG) indicators, the MCPZ helps to identify tops and bottoms in the overall meme coin market. The MCPZ indicator helps identify potential mania phases, which may signal nearing of a top and apathy phases, which may signal nearing a bottom. A moving average of the Z-score is used to smooth the data and help visualize changes in trend. In back testing, I found a 10-day sma of the MCPZ works well to signal tops and bottoms when extreme values of this indicator are reached. The MCPZ seems to spend a large amount of time near the low trigger line and short periods fast increase into mania phases.
Meme coins were not traded heavily prior to 2020, but the indicator still picks a couple of tops prior to 2020. Be aware that the meme coin space also increased massively in 2020, so mania phases may not spike quite as high moving forward and the indicator may need adjusting to catch tops. It is recommended to pair this indicator with the MCG and MCV indicators to create an overall picture.
The indicator grabs data from the MEME.C symbol on the daily such that it can be viewed on other symbols.
Use this indicator at your own risk. I make no claims as to its accuracy in forecasting future trend changes of memes or any other asset.
Hope this is helpful to you.
--Da_Prof
MA Crossover with Confluence Filters (sector tuned)The core belief of this strategy is that a stock making a strong upward move is more likely to continue in that direction if the move is confirmed by multiple other factors. This "confirmation" from different indicators is using the Momentum Optimized Strategy Preset. By waiting for a signal confirmed by high volume, rising volatility, a strong long-term trend, and healthy momentum, we aim to increase the probability of a successful trade.
% / ATR Buy, Target, Stop + Overlay & P/L% / ATR Buy, Target, Stop + Overlay & P/L
This tool combines volatility‑based and fixed‑percentage trade planning into a single, on‑chart overlay—with built‑in profit‑and‑loss estimates. Toggle between ATR or percentage modes, plot your Buy, Target and Stop levels, and see the dollar gain or loss for a specified position size—all in one interactive table and chart display.
NOTE: To activate plotted lines, price labels, P/L rows and table values, enter a Buy Price greater than zero.
What It Does
Mode Toggle: Choose between “ATR” (volatility‑based) or “%” (fixed‑percentage) calculations.
Buy Price Input: Manually enter your entry price.
ATR Mode:
Target = Buy + (ATR × Target Multiplier)
Stop = Buy − (ATR × Stop Multiplier)
Percentage Mode:
Target = Buy × (1 + Target % / 100)
Stop = Buy × (1 – Stop % / 100)
P/L Estimates: Specify a dollar amount to “invest” at your Buy price, and the script calculates:
Gain ($): Profit if Target is hit
Loss ($): Cost if Stop is hit
Visual Overlay: Draws horizontal lines for Buy, Target and Stop, with optional price labels on the chart scale.
Interactive Table: Displays Buy, Target, Stop, ATR/timeframe info (in ATR mode), percentages (in % mode), and P/L rows.
Customization Options
Line Settings:
Choose color, style (solid/dashed/dotted), and width for Buy, Target, Stop lines.
Extend lines rightward only or in both directions.
Table Settings:
Position the table (top/bottom × left/right).
Toggle individual rows: Buy Price; Target (multiplier or %); Stop (multiplier or %); Target ATR %; Stop ATR %; ATR Time Frame; ATR Value; Gain ($); Loss ($).
Customize text colors for each row and background transparency.
General Inputs:
ATR length and optional ATR timeframe override (e.g. use daily ATR on an intraday chart).
Target/Stop multipliers or percentages.
Dollar Amount for P/L calculations.
How to Use It for Trading
Plan Your Entry: Enter your intended Buy Price and position size (dollar amount).
Select Mode: Toggle between ATR or % mode depending on whether you prefer volatility‑based or fixed offsets.
Assess R:R and P/L: Instantly see your Target, Stop levels, and potential profit or loss in dollars.
Visual Reference: Lines and price labels update in real time as you tweak inputs—ideal for live trading, backtesting or trade journaling.
Ideal For
Traders who want both volatility‑based and percentage‑based exit options in one tool
Those who need on‑chart P/L estimates based on position size
Swing and intraday traders focused on objective, rule‑based trade management
Anyone who uses ATR for adaptive stops/targets or fixed percentages for simpler exits
🧠 Aggressive RSI + EMA Strategy with TP/SL⚙️ How It Works
RSI-Based Entries:
Buys when RSI is below 40 (oversold) and trend is up (fast EMA > slow EMA).
Sells when RSI is above 60 (overbought) and trend is down (fast EMA < slow EMA).
Trend Filter:
Uses two EMAs (short/long) to filter signals and avoid trading against momentum.
Risk Management:
Default Take Profit: +1%
Default Stop Loss: -0.5%
This creates a 2:1 reward-to-risk setup.
📊 Backtest Settings
Initial Capital: $10,000
Order Size: 10% of equity per trade (adjustable)
Commission: 0.04% per trade (Binance spot-style)
Slippage: 2 ticks
Tested on: BTC/USDT – 15min timeframe (suitable for high-frequency scalping)
Trade Sample: (Adjust this based on your actual results.)
🔔 Features
Built-in alerts for buy/sell signals
Visual chart plots for entry/exit, RSI, EMAs
Customizable inputs for RSI thresholds, TP/SL %, EMA lengths
💡 Why It’s Unique
Unlike many RSI systems that trade blindly at 70/30 levels, this strategy adds a trend filter to boost signal quality.
The tight TP/SL configuration is tailored for scalpers and intraday momentum traders who prefer quick, consistent trades over long holds.
NIMLAB BUY/SELL SignalsThe NIMLAB BUY/SELL Signals indicator automatically marks optimal entry and exit points on your chart:
BUY when price touches the “cool” lower boundary
SELL when price reaches the “hot” upper boundary
Includes flexible line styling and an option to hide repeat signals until direction reverses.
Market Structure🏗️ Market Structure Indicator for TradingView (Pine Script v6)
Overview:
The Market Structure indicator is a robust tool for identifying swing highs and swing lows across multiple structural levels:
🟤 Short-Term Swings
🟠 Intermediate-Term Swings
🟢 Long-Term Swings
It helps traders visually interpret market structure by detecting confirmed pivot points and promoting them through a hierarchical system. This provides a clear picture of trend direction, breakouts, and reversals.
⚙️ Features and Functionality:
✅ Multi-level Swing Detection:
The indicator promotes confirmed swing points from short-term to intermediate and long-term levels using a structured algorithm.
✅ Full Customization:
Toggle visibility of each swing level independently.
Choose custom colors for short, intermediate, and long-term swings.
✅ Transparent and Commented Logic:
The code contains well-structured functions for identifying and confirming swing highs and lows.
Label arrays are used for precise control over swing detection and display.
✅ Detailed and Open Source Code:
Every function is thoroughly explained with inline comments.
Designed to be easy to understand, modify, and extend — perfect for learning or integrating into more advanced systems.
📜 Open and Documented Source Code
The script is entirely open-source, written in Pine Script v6, and includes full documentation inside the code itself. Key sections include:
🔧 Input settings and visual configuration
🧠 Swing detection and confirmation methods
🔁 Promotion logic between structure levels
📈 Real-time label drawing on each bar
Everything is fully accessible and explained — no obfuscation, no hidden logic.
MB Notes + Custom ATR + EMA✅ MB Notes Panel (Top-Right)
Manually input and display your personal market bias notes:
E-MB, V-MB, and C-MB represent different timeframe-based market biases.
Customizable labels and values let you align your plan across multiple sessions.
Table is visually padded lower on screen for better chart visibility.
✅ Custom ATR Monitor (Bottom-Right)
Track Average True Range (ATR) across two selectable timeframes:
Choose from presets like 5m, 30m, 1H, 4H, Daily, Weekly, etc.
Gives you an instant read on volatility trends from multiple perspectives.
✅ Dynamic Triple MA Overlay
Plot three flexible moving averages with full control:
Set custom length, source (close, high, low, etc.), and type (EMA or SMA) for each.
MB Notes + Custom ATR + EMA✅ Features
✅ MB Notes Panel (Top-Right Table):
Manually enter and display your personal market bias notes (E-MB, V-MB, C-MB) directly on the chart. Perfect for keeping directional context or tracking bias across multiple sessions.
✅ Custom ATR Display (Bottom-Right Table):
Displays two ATR values from different timeframes of your choice. Select from a dropdown menu (e.g., 30min, 1H, 4H, Daily) to assess volatility at multiple levels.
✅ Triple MA Overlay:
Includes three fully customizable moving averages:
Choose length, source (close, high, low, etc.), and type (EMA or SMA) for each.
Plots them directly on the price chart for fast trend tracking.
