MMTools - Backtester❖ Overview
Backtester is a script implemented as a strategy, featuring multiple conditions and tools to offer an alternative way to work with Catcher. It supports both backtesting and algorithmic trading, allowing you to evaluate the indicator's performance on historical data for any instrument using the Strategy Tester.
❖ Settings
⚙️ Custom Conditions and Signals
This section is intended to provide flexibility when working with Catcher. (If you intend to use Catcher alone, this section can be disregarded). You may combine the primary indicator (Catcher) with additional custom indicators to define entry and exit signals. Simply add the custom indicator to your chart, display it and then select its name in the corresponding dropdown menu. By default, the 'Close' option is selected, meaning custom conditions are disabled.
Operator 'OR': An entry order is activated when either your custom signal or the primary signal occurs.
Operator 'AND': An entry order is activated only when both the custom and primary signals occur simultaneously.
If both 'AND' and 'OR' operators are used, enabling the 'Only Primary' option will apply the 'AND' operator only to the primary indicator.
Custom Exit: Allows the strategy to close a position based on a custom signal, in addition to standard exit conditions. The first condition met will trigger the exit.
Note: The strategy executes orders at the open of the next bar after the custom condition is met.
⚙️ Confirmation
When enabled, the strategy will enter a position only if a specified number of signals occur within a defined lookback period.
⚙️ Exits
Two types of exit mechanisms are available for take-profit and stop-loss:
Timeout: Sets a maximum duration (in bars) that a trade can remain open. If this limit is exceeded, the strategy will close the position.
Percentage-Based: Exit positions based on a specified percentage move.
⚙️ Start Date
Specifies the starting point for the backtest.
⚙️ Plotting
The green line represents the take-profit level, while the red line indicates the stop-loss level. Plotting is limited to the last 250 bars.
⚙️ Other Settings
Remember to configure additional parameters under the “Properties” tab, including commissions, slippage, and pyramiding. Default commission is set at 0.05%.
❖ Access
Please refer to the Author's Instructions field to request access to the script.
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Disclaimer
The information provided by my scripts is for informational purposes only and does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making financial decisions.
Médias Móveis
Melody Markets Moving Average Transitions🎵 Melody Markets Moving Average Transitions – The Ultimate Trend State Indicator 🎵
📌 Indicator Description
Melody Markets Moving Average Transitions is a powerful indicator designed to accurately represent the market trend state by combining the 5 main moving averages (MA7, MA20, MA50, MA100, MA200) and their 120 possible configurations.
Unlike traditional indicators that display moving averages separately, this tool synthesizes these multiple combinations into a dynamic trend line, which can be displayed directly on the selected moving average or via a specially calculated dynamic moving average.
It provides a clear and precise view of trend strength and momentum, helping traders better anticipate price movements.
🔍 Key Features
✅ Comprehensive Trend State → Analyzes up to 120 configurations between 5 moving averages for a detailed trend state.
✅ Dynamic Trend Line → Simple and intuitive visualization of the trend via a single line, shown directly on the chosen MA or the dynamic MA.
✅ Signal Visualization → Displays signals generated by each moving average, facilitating decision-making.
✅ Relevant Pullbacks Display → Highlights meaningful pullbacks according to trend strength and context.
✅ Fully Customizable → Choose moving averages, toggle signals and pullbacks, and customize colors.
✅ Overlay on Price Chart → Smooth and clear integration directly on the price chart.
📖 How to Use Melody Markets Moving Average Transitions?
1️⃣ Select the moving average (MA7, MA20, MA50, MA100, MA200) to track the trend state.
2️⃣ Activate the dynamic trend line to visualize overall market direction in real-time.
3️⃣ Enable signal and pullback displays to catch key trade setups and corrections.
4️⃣ Customize colors and display options to suit your trading style.
5️⃣ Combine with other technical tools for enhanced entry and exit confirmations.
🎯 Who Is This Indicator For?
🔹 Trend Traders & Swing Traders → Get a clear, precise overview of trend strength and pullbacks.
🔹 Day Traders & Scalpers → Quickly identify relevant signals without clutter.
🔹 Beginner to Advanced Traders → Intuitive and comprehensive trend analysis for all levels.
🔥 Conclusion
Melody Markets Moving Average Transitions revolutionizes trend analysis by combining complex moving average configurations into a single, clear dynamic line and signal system. It empowers traders with a deeper understanding of market conditions, improving decision-making and timing.
📌 Add it to your chart now and experience trend analysis like never before! 🚀
Custom Paul MACD-likePaul MACD is an indicator created by David Paul. It is implemented to effectively represent trend periods and non-trend (sideways/consolidation) periods, and its calculation method is particularly designed to reduce whipsaw.
Unlike the existing MACD which uses the difference between short-term (12) and long-term (26) exponential moving averages (EMA), Paul MACD has a different calculation method. This indicator uses a "center value" or "intermediate value". Calculation occurs when this intermediate value is higher than the High value (specifically, the difference between the center and High is calculated) or lower than the Low value (specifically, the difference between the center and Low is calculated). Otherwise, the value becomes 0. Here, the High and Low values are intended to be smoothly reflected using Smoothed Moving Average (SMMA). The indicator's method itself (using SMMA and ZLMA) is aimed at diluting whipsaws.
Thanks to this calculation method, in sections where whipsaw occurs, meaning when the intermediate value is between High and Low, the indicator value is expressed as 0 and appears as a horizontal line (zero line). This serves to visually clearly show sideways/consolidation periods.
Decimal EMAImagine you want a moving average line, but you want its "length" or "period" to be super precise, like 2.7 days instead of just 2 days or 3 days.
This script lets you do that. Here's the simple idea:
You Pick a Decimal Number: In the settings, you can type in a period with a decimal, say, 2.7.
The Script Does a Smart Blend:
It first calculates two regular EMAs: one for the whole number below your choice (EMA for 2 days) and one for the whole number above (EMA for 3 days).
Then, it cleverly mixes these two EMA lines. Since 2.7 is closer to 3 than to 2, it takes more from the "3-day EMA" and a bit less from the "2-day EMA." (Specifically, it takes 70% from the 3-day EMA and 30% from the 2-day EMA).
You Get a Decimal EMA Line: The result is a new EMA line that acts as if its period was exactly 2.7. This line is drawn on your chart.
Why do this?
It allows for very fine-tuned adjustments to how responsive your moving average is, giving a smoother change if you're testing slightly different period lengths.
In Short:
This script calculates an EMA for a period like "2.7" by intelligently blending the results of an EMA for "2" and an EMA for "3".
21-Day Trend Direction📈 21-Day Trend Direction Indicator
📊 How It Works:
🎯 Trend Detection Logic:
Analyzes last 21 daily candles
Calculates total price change from start to end
Compares against sideways threshold (default 2%)
Counts bullish vs bearish days
Tracks higher highs and lower lows
📈 Trend Classifications:
• 📈 UPTREND: Price change > +2% over 21 days
• 📉 DOWNTREND: Price change < -2% over 21 days
• ➡️ SIDEWAYS: Price change between -2% and +2%
💪 Trend Strength Levels:
• 🔥 Very Strong: >5% price change
• 💪 Strong: 3-5% price change
• 📊 Moderate: 1.5-3% price change
• 📉 Weak: <1.5% price change
🎨 Visual Features:
📋 Information Table Shows:
• Trend Direction with color coding
• Price Change % over 21 days
• Trend Strength classification
• Bull/Bear Days count
• Higher Highs/Lower Lows count
• Analysis Period (customizable)
📊 Chart Indicators:
• Trend Line (21-day moving average)
• Background Color for quick trend identification
• Trend Arrows (▲ ▼ ➡) on chart
• Customizable display options
⚙️ Customizable Settings:
🎯 Analysis Settings:
• Lookback Days: 5-50 days (default: 14)
• Sideways Threshold: 0.5-10% (default: 2%)
• Trend Strength: Low/Medium/High sensitivity
🎨 Display Options:
• Table Position: 9 different positions
• Table Size: Tiny to Large
• Show/Hide: Table, Trend Line, Background, Arrows
🚨 Alert Options:
• Trend Change to Uptrend
• Trend Change to Downtrend
• Trend Change to Sideways
This indicator gives you a clear, objective view of the 21-day trend with multiple confirmation signals! 🚀
Supertrend MACD - XAUUSD STRATEGY 🔶 Supertrend MACD - XAUUSD STRATEGY (v6) (XAUUSD ONLY FOR NOW)
A high-performance, multi-filtered MACD-based strategy tailored for XAUUSD (Gold) traders seeking precision entries during trending conditions. This indicator intelligently combines multiple technical layers—momentum, trend strength, volatility, and market structure—to help identify high-probability trade setups with improved reliability.
🧠 Core Logic & Features Explained:
🔸 MACD Momentum Engine
At the heart of the strategy lies the traditional MACD indicator (Moving Average Convergence Divergence), calculating the difference between two EMAs (fast and slow) and smoothing it with a signal line.
Buy Signal: Triggered when the MACD line crosses above the signal line.
Sell Signal: Triggered when the MACD line crosses below the signal line.
These signals are the foundation, but only the beginning of a layered decision-making process.
🔸 Higher Timeframe (HTF) Trend Confirmation
To filter out noise and false breakouts, the indicator references MACD values from a higher timeframe (configurable by the user). This powerful multi-timeframe approach ensures that entries only occur in alignment with the dominant macro-trend.
Ensures entries are not taken counter to larger market movements.
Helps identify momentum continuation setups and avoid chop.
🔸 Support Arrow Display (Optional)
For visual traders, an option to display support arrows on the chart can be enabled. These assist in identifying visually intuitive entry points and enhance situational awareness.
⚙️ User-Customizable Inputs:
MACD Settings: Fast EMA, Slow EMA, Signal EMA lengths.
Signal Offset: For visual alignment and candle matching.
HTF MACD Settings: Select any timeframe for higher timeframe filtering.
ATR and ADX Thresholds: Fine-tune filters to match your trading style.
Structure Break Lookback: Adjust BOS+ logic sensitivity.
Arrow Toggles: Enable or disable visual support arrows as needed.
THIS indicator is in its alpha stage, currently it only works on XAUUSD pairs, i plan to update this indicator so that it functions on every single pair available on Trading view
Another note, the signals given only become solid after the second the candlestick, after this the signal becomes solid. REPAINTING CAN HAPPEN AFTER THE FIRST CANDLE STICK OF THE SIGNAL BUT NOT AFTER THE SECOND
As this indicator is only in its alpha stage it should be used as such, every person is responsible for there own personal investments
EMA Trend Cloud with HH/LL Counter [RanAlgo]Indicator Overview:
This indicator combines EMA-based trend analysis with pivot point detection to identify market trends and potential reversal points. It features:
EMA Cloud System: Dual cloud layers (8/22 EMA and 21/49 EMA) for trend visualization
Pivot Analysis: Identifies Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL)
Counter System: Tracks daily and session counts of HH/LL patterns
Key Components:
EMA Configuration:
Fast EMAs: 8, 21, 22
Medium EMAs: 49, 50
Slow EMA: 100
Cloud formations between EMAs (8/22 and 21/49) with adjustable opacity
Trend Signals:
Buy signals when EMA8 crosses above EMA22 (green cloud)
Sell signals when EMA8 crosses below EMA22 (red cloud)
Additional confirmation from 21/49 EMA cloud
Pivot Point System:
Customizable lookback period (default 16 bars)
Four pivot types with customizable visuals:
HH (Higher High) - Green
HL (Higher Low) - Blue
LH (Lower High) - Red
LL (Lower Low) - Orange
Extended lines with adjustable length
Counter Table:
Displays daily counts of HH and LL patterns
Six position options for table placement
Color-coded to match pivot line colors
Trading Rules:
Trend Following:
Go long when both clouds are green (EMA8 > EMA22 AND EMA21 > EMA49)
Go short when both clouds are red (EMA8 < EMA22 AND EMA21 < EMA49)
Pivot Confirmation:
Strong uptrend confirmed by consecutive HH and HL patterns
Strong downtrend confirmed by consecutive LH and LL patterns
Potential reversals when pattern sequences break
Counter Interpretation:
Increasing HH count suggests strong bullish momentum
Increasing LL count suggests strong bearish momentum
Divergences between price and counts may signal weakening trends
Customization Options:
Adjustable EMA lengths (hardcoded but can be modified)
Cloud opacity controls
Pivot line colors, styles, and thickness
Lookback period for pivot detection
Line extension length
Table visibility and positioning
Display Features:
Clean visual design that doesn't obscure price action
Non-repainting elements (uses confirmed pivots only)
Minimal screen space usage with optional table
This indicator complies with TradingView's guidelines by:
Using non-repainting calculations (confirmed pivots only)
Providing clear source code with comments
Offering comprehensive customization without overcrowding
Including proper input validation
Maintaining readable visuals at all zoom levels
The tool is designed for trend identification and confirmation, suitable for various timeframes and instruments. Users should combine it with other analysis techniques for best results.
SMA Zone with Breakouts/Tests 1.0.This indicator plots a dynamic “SMA Zone” between two simple moving averages (one applied to lows, one to highs) and highlights key interaction points with the zone:
Breakouts
Bull Break: price closes above the upper SMA
Bear Break: price closes below the lower SMA
Requires confirmation via either above-average volume or an unusually wide bar (spread > ATR) closing near its extreme
Tests & Retests
After a breakout, the first re-entry into the zone edge is labeled “Test,” subsequent re-entries are numbered “Retest,” “2nd Retest,” etc.
Zone Weakening: each additional Test/Retest signifies diminished zone strength—fewer reliable boundaries remain (Traditional S/R theory)
Alerts
Fires a unified “Zone Signal” alert on every Break, Test, and Retest (set condition to “Any alert() function call”).
Disclaimer:
This is not financial advice and should not be used as a standalone trading signal.
It’s designed to draw your attention to important price-zone interactions so you can manually tune in.
The logic can be further enhanced or combined with other indicators/algorithms as part of a more complex trading system.
Malama's 3 AmigosThe "Malama's 3 Amigos" is an original script that combines several well-known technical indicators, including MACD, RSI, and wave trend analysis, to create a robust trading signal generator. The integration of these components allows for a more nuanced understanding of market dynamics:
MACD and RSI: These indicators provide insights into momentum and trend direction, helping to identify potential reversals or continuations.
Wave Trend Analysis: This component adds a layer of volatility assessment, allowing traders to gauge overbought and oversold conditions.
Volume Filtering: By incorporating volume analysis, the script ensures that signals are validated by market participation, reducing the likelihood of false signals.
This script stands out from public open-source alternatives by offering a unique combination of trend meters and wave trend analysis, tailored for traders seeking a comprehensive dashboard for market analysis.
Detailed Methodology ("How It Works")
Core Logic
Wave Trend Calculation: The script employs a wave trend calculation that utilizes exponential moving averages (EMAs) to assess price momentum. The wave trend indicator generates two lines, which are used to identify potential bullish and bearish conditions based on crossovers and overbought/oversold levels.
Trend Meter Signals: The script features three customizable trend meters that can be set to various configurations (e.g., MACD crossovers, RSI conditions). Each trend meter evaluates market conditions and provides a bullish or bearish signal based on the selected method.
Signal Generation:
Long Entry Signal: A long signal is generated when all three trend meters indicate bullish conditions, the wave trend shows a bullish crossover, the RSI delta is above a specified threshold, and the price is above a defined moving average.
Short Entry Signal: Conversely, a short signal is triggered when all trend meters indicate bearish conditions, the wave trend shows a bearish crossover, the RSI delta is below a specified threshold, and the price is below a defined moving average.
Signal Strength Calculation: The script calculates the strength of the generated signals by summing the number of bullish or bearish conditions met. This provides traders with a clear indication of the reliability of the signal.
Backtesting and Probability Features
The script does not include built-in backtesting features; however, traders can manually backtest the signals generated by the indicator. It is recommended to consider realistic trading conditions, including commission, slippage, and risk management parameters, when evaluating the effectiveness of the signals.
Strategy Results and Risk Management
The "Malama's 3 Amigos" indicator does not inherently include backtesting capabilities, but traders are encouraged to apply the following assumptions for effective risk management:
Commission and Slippage: Traders should account for realistic trading costs when evaluating performance.
Account Sizing: It is advisable to limit risk to 5-10% of equity per trade.
Trade Frequency: A sufficient number of trades should be executed to validate the strategy's effectiveness.
Default Settings
The default settings are designed to provide a balanced approach to trading. Traders can customize parameters such as lookback periods for moving averages and volume filters to suit their trading style.
User Settings and Customization
The script includes several user-customizable inputs:
Trend Meter Selections: Traders can choose from various trend meter configurations to tailor the indicator to their preferences.
Volume Filter: Users can enable or disable volume filtering and set the lookback period for volume analysis.
RSI Delta Threshold: This parameter allows traders to define the sensitivity of the RSI delta condition for signal generation.
Moving Average Types and Lengths: Traders can select between Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) and adjust their lengths.
These settings influence the behavior of the indicator and the signals generated, allowing for a personalized trading experience.
Visualizations and Chart Setup
The "Malama's 3 Amigos" indicator plots several key elements on the chart:
Wave Trend Lines: Two wave trend lines are displayed, with color coding to indicate bullish (green) and bearish (red) conditions.
Signal Markers: Buy (green triangle) and sell (red triangle) signals are plotted on the chart to indicate potential entry points.
Info Panel: An information panel can be displayed on the chart, providing real-time updates on the status of trend meters, wave trend conditions, and entry signals.
The visual elements are designed to be clear and concise, ensuring that traders can quickly interpret the information presented.
TCT - Envelope MatrixTCT - Envelope Matrix
A powerful multi-envelope indicator that creates a comprehensive price channel system with 4 customizable envelopes and multiple intermediate levels for precise price action analysis.
Key Features:
• 4 customizable envelopes with adjustable percentages (0.2%, 0.4%, 0.6%, 0.8% by default)
• Optional EMA or SMA basis calculation
• Color-coded bands for easy visual identification
• Automatic horizontal lines showing current band values
• Midpoint lines between adjacent bands
• Additional 25%, 50%, and 75% levels between each band pair
The indicator provides:
- Clear visual representation of price channels
- Multiple support and resistance levels
- Dynamic price boundaries that adapt to market conditions
- Enhanced precision with intermediate levels between bands
Perfect for:
• Identifying potential support and resistance zones
• Spotting overbought/oversold conditions
• Finding potential reversal points
• Analyzing price volatility and channel width
• Making informed trading decisions based on price position relative to multiple bands
Customization Options:
• Adjustable length for the basis calculation
• Choice between EMA and SMA
• Customizable colors for each envelope
• Flexible percentage settings for each band
• Optional basis line color adjustment
This indicator is particularly useful for traders who want to analyze price action within multiple dynamic channels and identify potential trading opportunities based on price interactions with various support and resistance levels.
Smooth BTCSPL [GiudiceQuantico] – Dual Smoothed MAsSmooth BTCSPL – Dual Smoothed MAs
What it measures
• % of Bitcoin addresses in profit vs loss (on-chain tickers).
• Spread = profit % − loss % → quick aggregate-sentiment gauge.
• Optional alpha-decay normalisation ⇒ keeps the curve on a 0-1 scale across cycles.
User inputs
• Use Alpha-Decay Adjusted Input (true/false).
• Fast MA – type (SMA / EMA / WMA / VWMA) & length (default 100).
• Slow MA – type & length (default 200).
• Colours – Bullish (#00ffbb) / Bearish (magenta).
Computation flow
1. Fetch daily on-chain series.
2. Build raw spread.
3. If alpha-decay enabled:
alpha = (rawSpread − 140-week rolling min) / (1 − rolling min).
4. Smooth chosen base with Fast & Slow MAs.
5. Bullish when Fast > Slow, bearish otherwise.
6. Bars tinted with the same bull/bear colour.
How to read
• Fast crosses above Slow → rising “addresses-in-profit” momentum → bullish bias.
• Fast crosses below Slow → stress / capitulation risk.
• Price-indicator divergences can flag exhaustion or hidden accumulation.
Tips
• Keep in a separate pane (overlay = false); bar-colouring still shows on price chart.
• Shorter lengths for swing trades, longer for macro outlook.
• Combine with funding rates, NUPL or simple price-MA crossovers for confirmation.
MNQ EMA StrategyThis strategy is not perfected yet. ONE MINUTE TIMEFRAME
The goal is to take Longs above the 5 ema when price is above all the 200, 30, and 5 ema.
Short side is when candle closes below the 5 ema and price is below the 300, 30, and 5 ema.
I use candle range blocks for different time zones to avoid excess orders from being triggered. As well as blocks when stoploss is hit or after a profitable trade of certain ticks.
There is an RSI to avoid trades when there isn't too much movement.
My goal is to get an entry when price trades above the 5 ema and then next candle passes it by .25 instead of entering immediately. The stoploss as the low of candle before entry and TP as 3 times the stoploss. I've tried a million times to make it like this but I don't know how to use pine script or Code.
The sell side is basically the same, enter at candle close below 5 ema wait for low to get swept to enter and stoploss above previous high, with TP 3 times the stoploss.
Publishing in hopes anyone knows how to adjust this
CAUTION THIS STRATEGY WORKS WITH CURRENT PRICE ACTION DUE TO ME USING RECENT TICK COUNT RATHER THAN BASED ON CANDLES OR PERCENTAGES. THIS WILL ONLY WORK AS LONG AS MARKET MOVES AS IT HAS BEEN SINCE 2024. CME_MINI:MNQ1!
Hull MA Channel with Filtered CrossoversI've created an indicator that let's you create a HMA channel with 2 displaced HMA (A/B). As well as a HMA crossover set (C/D).
Here's how it works:
The HMA crossovers from C and D will not signal unless they are outside of the channel of A and B. As a matter of fact, NO buy signal whatsoever will occur above the channel and NO sell signal will occur below the channel.
The crossover HMA pair (C/D) can have their lengths adjusted to the 0.00 decimal point for VERY fine tuning of the crossovers.
(edit-it doesn't fine tune to the .00. This must not be a feature that is able to be utilized. I tried) The length adjustment still works to the nearest whole number. The .00 are mute :(
In keeping with that same logic, you can adjust the displacement of the channel independently to the 0.00 decimal, again for VERY fine tuning.
This is great for reversals while eliminating noise from false signals, keeping the chart nice and clean. Should be used in combination with other indicators for the best confirmations.
EMA5/21 + VWAP + MACD HistogramScript Summary: EMA + VWAP + MACD + RSI Strategy
Objective: Combine multiple technical indicators to identify market entry and exit opportunities, aiming to increase signal accuracy.
Indicators Used:
EMAs (Exponential Moving Averages): Periods of 5 (short-term) and 21 (long-term) to identify trend crossovers.
VWAP (Volume Weighted Average Price): Serves as a reference to determine if the price is in a fair value zone.
MACD (Moving Average Convergence Divergence): Standard settings of 12, 26, and 9 to detect momentum changes.
RSI (Relative Strength Index): Period of 14 to identify overbought or oversold conditions.
Entry Rules:
Buy (Long): 5-period EMA crosses above the 21-period EMA, price is above VWAP, MACD crosses above the signal line, and RSI is above 40.
Sell (Short): 5-period EMA crosses below the 21-period EMA, price is below VWAP, MACD crosses below the signal line, and RSI is below 60.
Exit Rules:
For long positions: When the 5-period EMA crosses below the 21-period EMA or MACD crosses below the signal line.
For short positions: When the 5-period EMA crosses above the 21-period EMA or MACD crosses above the signal line.
Visual Alerts:
Buy and sell signals are highlighted on the chart with green (buy) and red (sell) arrows below or above the corresponding candles.
Indicator Plotting:
The 5 and 21-period EMAs, as well as the VWAP, are plotted on the chart to facilitate the visualization of market conditions.
This script is a versatile tool for traders seeking to combine multiple technical indicators into a single strategy. It can be used across various timeframes and assets, allowing adjustments according to the trader's profile and market characteristics.
Juliano Einhardt Ulguim, Brazil, 05/27/2025.
Precision Entry Signals (RSI + MA12 Logic)Description:
This script provides precise entry signals based on a clean confluence of MA12 breakouts and RSI momentum, filtered by a VWMA (Volume-Weighted Moving Average) of the RSI.
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🔹 Long entry conditions:
- Candle opens below the 12-period MA and closes above it
- RSI crosses above its VWMA
- Previous candle is bearish (additional confirmation)
🔹 Short entry conditions:
- Candle opens above the 12-period MA and closes below it
- RSI crosses below its VWMA
- Previous candle is bullish
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Once a signal is confirmed, the script automatically draws:
Entry line (at close price)
Stop Loss line (just below recent lows for long, or above highs for short)
Take Profit 1 (1R)
Take Profit 2 (2R)
Labels are attached to the lines for clarity: ENTRY, SL, TP1, and TP2.
⚠️ Note: This tool only provides entry signals and visual risk/reward guidance. It does not manage exits dynamically. Manual trade management is recommended.
This script is intended for active intraday traders, especially on lower timeframes like 3-minute, 5-minute or 15-minute charts.
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🔧 Recommended companion indicator:
For better confirmation and visual tracking of the RSI/VWMA cross logic, it is strongly recommended to also use the companion script:
🔹 Relative Strength Index (with MA based cross signals)
→ Shows RSI and its moving average visually, with triangle plots on every valid cross.
→ Matches exactly the RSI/VWMA behavior used in this entry signal script.
📌 Important:
After adding the RSI script to your chart, make sure to set:
RSI Length = 14
MA Type = VWMA
MA Length = 20
This ensures it visually matches the logic used by the entry signal script.
Both indicators are fully open source and meant to be used together — especially when trading manually.
Hammer + EMA Strategy with Tick-based SL/TPWhat This Script Does:
Detects Hammer (bullish reversal) and Inverted Hammer (bearish reversal) patterns
Requires a simple trend context (using 2 bars back)
Confirms price position relative to EMA 50
Applies tick-based SL and TP
Plots buy/sell signals on chart with emoji labels
Moving Average Deviation Rate with MA TypeJapanese below / 日本語説明は下記
This indicator displays moving average deviation rate with the ability to select moving average type with signals and alerts.
Price and moving average have the characteristics that when the price moves away from the moving average, it moves back to the moving average.
Example:
In the chart below, when the deviation rate increases to 2%(green circle), price momentum gradually decreases and it moves back to the moving average.
Taking advantage of this characteristic, traders can make decisions to take profit and/or take contrarian trades.
Signals can be displayed either on main chart or sub chart when the deviation rate crosses over/under upper/lower band.
Alert can be set with the same condition as the signals.
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移動平均線乖離率を表示することのできるインジケーターです。
移動平均線タイプを選択できる他、乖離率とアッパーバンド/ロワーバンドとのクロスでシグナルを表示することができます。
価格と移動平均線には、価格が移動平均線から乖離すると、再び移動平均線まで戻ってくるという特徴があります。
この特徴を利用することで、トレーダーは利益確定のタイミングや逆張りでポジションを取るタイミングを図ることができます。
例
以下のチャートでは乖離率が2%付近(黄緑の丸)まで上昇すると、価格の上昇の勢いが衰えて再び移動平均線まで戻っていることが確認できます。
乖離率とアッパーバンド/ロワーバンドがクロスした時に、メインチャートまたはサブチャートのいずれかにシグナルを表示することが可能です。
また、同じ条件でアラートを設定することもできます。
Enhanced TEMA with Decimal PeriodsImagine you have a special type of moving average line called a TEMA (Triple
Moving Average). A TEMA is designed to be even quicker to react to price changes than a regular EMA (Exponential Moving Average), helping traders spot trends faster.
What this script does:
Super-Precise TEMA Length:
Normally, when you set the "length" or "period" for a moving average, you use whole numbers (like 10 days, 20 days).
This script lets you be more precise and use decimal numbers for the TEMA's length (like 26.0 days, or even 26.7 days). This allows for very fine-tuning.
How it gets the "Decimal" EMA part (if you choose to use it):
If you want a TEMA with a length of, say, 26.7:
The script first needs to calculate EMAs with a length of 26.7.
To do this, it cleverly calculates two regular EMAs: one with a length of 26 and another with a length of 27 (the whole numbers just below and above 26.7).
Then, it blends these two EMAs. Since 26.7 is closer to 27, it takes more from the "27-period EMA" and a bit less from the "26-period EMA." This mix gives you an EMA that acts like it has a 26.7 period.
Building the TEMA:
A TEMA isn't just one EMA. It's made by taking an EMA of an EMA, and then an EMA of that. It's like smoothing the line multiple times, but in a special mathematical way to make it faster.
So, this script:
-Calculates the first "decimal EMA" (e.g., for 26.7).
-Calculates another "decimal EMA" of that first EMA line (again, using 26.7).
-Calculates a third "decimal EMA" of the second EMA line (still using 26.7).
Finally, it combines these three EMAs using a special TEMA formula to get the final, quick-reacting TEMA line.
Option to Switch Off Decimals:
There's a setting ("Use Decimal Periods"). If you turn this off, the script will just use regular whole-number EMAs to build the TEMA (it will round down your decimal input, so 26.7 would become 26).
Plotting:
The final "Enhanced TEMA" line is drawn on your price chart.
In Simple Terms:
This script gives you a TEMA (a fast-moving average) that you can set up with very precise decimal lengths (like 26.7 instead of just 26 or 27).
It does this "decimal magic" by smartly blending two regular EMAs. You can also choose to use it like a normal TEMA with whole numbers if you prefer. The goal is to give traders a very responsive trend-following line that can be fine-tuned to a high degree of precision.
magic wand STSM"Magic Wand STSM" Strategy: Trend-Following with Dynamic Risk Management
Overview:
The "Magic Wand STSM" (Supertrend & SMA Momentum) is an automated trading strategy designed to identify and capitalize on sustained trends in the market. It combines a multi-timeframe Supertrend for trend direction and potential reversal signals, along with a 200-period Simple Moving Average (SMA) for overall market bias. A key feature of this strategy is its dynamic position sizing based on a user-defined risk percentage per trade, and a built-in daily and monthly profit/loss tracking system to manage overall exposure and prevent overtrading.
How it Works (Underlying Concepts):
Multi-Timeframe Trend Confirmation (Supertrend):
The strategy uses two Supertrend indicators: one on the current chart timeframe and another on a higher timeframe (e.g., if your chart is 5-minute, the higher timeframe Supertrend might be 15-minute).
Trend Identification: The Supertrend's direction output is crucial. A negative direction indicates a bearish trend (price below Supertrend), while a positive direction indicates a bullish trend (price above Supertrend).
Confirmation: A core principle is that trades are only considered when the Supertrend on both the current and the higher timeframe align in the same direction. This helps to filter out noise and focus on stronger, more confirmed trends. For example, for a long trade, both Supertrends must be indicating a bearish trend (price below Supertrend line, implying an uptrend context where price is expected to stay above/rebound from Supertrend). Similarly, for short trades, both must be indicating a bullish trend (price above Supertrend line, implying a downtrend context where price is expected to stay below/retest Supertrend).
Trend "Readiness": The strategy specifically looks for situations where the Supertrend has been stable for a few bars (checking barssince the last direction change).
Long-Term Market Bias (200 SMA):
A 200-period Simple Moving Average is plotted on the chart.
Filter: For long trades, the price must be above the 200 SMA, confirming an overall bullish bias. For short trades, the price must be below the 200 SMA, confirming an overall bearish bias. This acts as a macro filter, ensuring trades are taken in alignment with the broader market direction.
"Lowest/Highest Value" Pullback Entries:
The strategy employs custom functions (LowestValueAndBar, HighestValueAndBar) to identify specific price action within the recent trend:
For Long Entries: It looks for a "buy ready" condition where the price has found a recent lowest point within a specific number of bars since the Supertrend turned bearish (indicating an uptrend). This suggests a potential pullback or consolidation before continuation. The entry trigger is a close above the open of this identified lowest bar, and also above the current bar's open.
For Short Entries: It looks for a "sell ready" condition where the price has found a recent highest point within a specific number of bars since the Supertrend turned bullish (indicating a downtrend). This suggests a potential rally or consolidation before continuation downwards. The entry trigger is a close below the open of this identified highest bar, and also below the current bar's open.
Candle Confirmation: The strategy also incorporates a check on the candle type at the "lowest/highest value" bar (e.g., closevalue_b < openvalue_b for buy signals, meaning a bearish candle at the low, suggesting a potential reversal before a buy).
Risk Management and Position Sizing:
Dynamic Lot Sizing: The lotsvalue function calculates the appropriate position size based on your Your Equity input, the Risk to Reward ratio, and your risk percentage for your balance % input. This ensures that the capital risked per trade remains consistent as a percentage of your equity, regardless of the instrument's volatility or price. The stop loss distance is directly used in this calculation.
Fixed Risk Reward: All trades are entered with a predefined Risk to Reward ratio (default 2.0). This means for every unit of risk (stop loss distance), the target profit is rr times that distance.
Daily and Monthly Performance Monitoring:
The strategy tracks todaysWins, todaysLosses, and res (daily net result) in real-time.
A "daily profit target" is implemented (day_profit): If the daily net result is very favorable (e.g., res >= 4 with todaysLosses >= 2 or todaysWins + todaysLosses >= 8), the strategy may temporarily halt trading for the remainder of the session to "lock in" profits and prevent overtrading during volatile periods.
A "monthly stop-out" (monthly_trade) is implemented: If the lres (overall net result from all closed trades) falls below a certain threshold (e.g., -12), the strategy will stop trading for a set period (one week in this case) to protect capital during prolonged drawdowns.
Trade Execution:
Entry Triggers: Trades are entered when all buy/sell conditions (Supertrend alignment, SMA filter, "buy/sell situation" candle confirmation, and risk management checks) are met, and there are no open positions.
Stop Loss and Take Profit:
Stop Loss: The stop loss is dynamically placed at the upTrendValue for long trades and downTrendValue for short trades. These values are derived from the Supertrend indicator, which naturally adjusts to market volatility.
Take Profit: The take profit is calculated based on the entry price, the stop loss, and the Risk to Reward ratio (rr).
Position Locks: lock_long and lock_short variables prevent immediate re-entry into the same direction once a trade is initiated, or after a trend reversal based on Supertrend changes.
Visual Elements:
The 200 SMA is plotted in yellow.
Entry, Stop Loss, and Take Profit lines are plotted in white, red, and green respectively when a trade is active, with shaded areas between them to visually represent risk and reward.
Diamond shapes are plotted at the bottom of the chart (green for potential buy signals, red for potential sell signals) to visually indicate when the buy_sit or sell_sit conditions are met, along with other key filters.
A comprehensive trade statistics table is displayed on the chart, showing daily wins/losses, daily profit, total deals, and overall profit/loss.
A background color indicates the active trading session.
Ideal Usage:
This strategy is best applied to instruments with clear trends and sufficient liquidity. Users should carefully adjust the Your Equity, Risk to Reward, and risk percentage inputs to align with their individual risk tolerance and capital. Experimentation with different ATR Length and Factor values for the Supertrend might be beneficial depending on the asset and timeframe.
BVB dominance bars
Hello everyone, this is my first indicator. these candles shows you who's in control. I like to think its some what close to heikin ashi candles as it shows you the Trend but doesn't average it out. also shows you when there is indecision. please read the instructions on how it works. its not a stand alone strategy. but adds value to your own strategy.
📖 How It Works
The BvB Dominance Bars indicator is a visual tool that colors candles based on market control—whether bulls or bears are in charge. It uses a custom metric comparing the price's relationship to a smoothed moving average (EMA), then normalizes that difference over time to express relative bullish or bearish pressure.
Here’s the breakdown:
Bulls vs Bears Logic:
A short-term EMA (default: 14-period) is used to establish a midpoint reference.
Bull Pressure is calculated as how far the high is above this EMA.
Bear Pressure is how far the low is below this EMA.
These are normalized over a lookback period (default: 120 bars) to produce percentile scores (0–100) for both bulls and bears.
Dominance & Color Coding:
The indicator compares normalized bull and bear scores.
Candles are color-coded based on:
Bright Lime: Strong Bull Dominance (with high confidence)
Soft Lime/Yellow: Moderate Bull Control
Bright Red: Strong Bear Dominance
Soft Red/Yellow: Moderate Bear Control
Gray: Neutral/Low conviction
Optional Live Label:
A small floating label shows who has control: “Bull Control,” “Bear Control,” or “Neutral.”
🧠 How to Use It (Example Strategy)
The BvB Dominance Bars indicator is not a standalone buy/sell signal but a market sentiment overlay. It’s most effective when combined with your own strategy, like price action or trend-following tools.
Here’s an example use case:
🧪 Reversal Confirmation Strategy
Objective: Catch high-probability reversals during key kill zones or supply/demand levels.
Setup:
Mark your key support/resistance zones using your standard method (e.g., FVGs, liquidity sweeps, or ICT PD arrays).
Wait for price to reach one of these zones.
Watch candle colors from the BvB Dominance Bars:
If you expect a bullish reversal, wait for a transition from red/gray candles to lime green or bright lime (bullish dominance taking over).
If you expect a bearish reversal, look for a change from green/gray to red or bright red.
Entry Filter:
Only enter if the dominant color holds for 2+ candles.
Avoid trades when candles are gray or yellow (indecision/neutral).
Exit Option:
Exit if dominance shifts against you (e.g., from lime to red), or use structure-based stops.
⚙️ Settings You Can Adjust:
BvB Period: Controls how fast EMA responds.
Bars Back: Determines how long the normalization looks back.
Thresholds: Influence how strong the dominance must be to change candle color.
✅ Best Used When:
You already have a bias and just want a confirmation of sentiment.
You're trading intraday and want a feel for shifting momentum without relying on noisy indicators.
You want a clean, color-coded overlay to help filter out fakeouts and indecision.
ML: Lorentzian Classification Premium█ OVERVIEW
Lorentzian Classification Premium represents the culmination of two years of collaborative development with over 1,000 beta testers from the TradingView community. Building upon the foundation of the open-source version, this premium edition introduces powerful enhancements that transform how machine-learning classification can be applied to market analysis.
The premium version maintains the core Lorentzian distance-based classification algorithm while expanding its capabilities through triple the feature dimensionality (up to 15 features), sophisticated mean-reversion detection, first-pullback identification, and a comprehensive signal taxonomy that goes far beyond simple buy/sell signals. Whether you're building automated trading systems, conducting deep market research, or integrating proprietary indicators into ML workflows, this tool provides the advanced edge needed for professional-grade analysis.
█ BACKGROUND
Lorentzian Classification analyzes market structures, especially those exhibiting non-linear distortions under stress, by employing advanced distance metrics like the Lorentzian metric, prominent in fields such as relativity theory. Where traditional indicators assume flat space, we embrace the curve. The heart of this approach is the Lorentzian distance metric—a sophisticated mathematical tool. This framework adeptly navigates the complex curves and distortions of market space, aiming to provide insights that traditional analysis might miss, especially during moments of extreme volatility. It analyzes historical data from a multi-dimensional feature space consisting of various technical indicators of your choosing. Where traditional approaches fail, Lorentzian space reveals the true geometry of market dynamics.
Neighborhoods in Different Geometries: In the above figure, the Lorentzian metric creates distinctive cross-patterns aligned with feature axes (RSI, CCI, ADX), capturing both local similarity and dimensional extremes. This unique geometry allows the algorithm to recognize similar market conditions that Euclidean spheres and Manhattan diamonds would miss entirely. In LC Premium, users can have up to 15 features -- you are not limited to 3-dimensions.
Among the thousands of distance metrics discovered by mathematicians, each perceives data through its own geometric lens. The Lorentzian metric stands apart with its unique ability to capture market behavior during volatile events.
█ COMMUNITY-DRIVEN EVOLUTION
It has been profoundly humbling over the past 2 years to witness this indicator's evolution through the collaborative efforts of our incredible community. This journey has been shaped by thousands of user suggestions and validated through real-world application.
A particularly amazing milestone was the development of a complete community-driven Python port, which meticulously matched even the most minute PineScript quirks. Building on this solid foundation, a new command-line interface (CLI) has opened up exciting possibilities for chart-specific parameter optimization:
Early insights from parameter optimization research: Through grid-search testing across thousands of parameter combinations, the analysis identifies which parameters have the biggest effects on performance and maps regions of stability across different market regimes. This reveals that optimal neighbor counts vary significantly based on market conditions—opening up incredible potential for timeframe-specific optimization.
This is just one of the insights gleaned so far from this ongoing investigation. The potential for chart-specific optimization for any given timeframe could transform how traders approach parameter selection.
Demand from power users for extra capabilities—while keeping the open-source version simple—sparked this Premium release. The open-source branch remains maintained, but the premium tier adds unique features for those who need an analytical edge and to leverage their own custom indicators as feature series for the algorithm.
█ KEY PREMIUM FEATURES
📈 First Pullback Detection System
Automatically identifies high-probability trend-continuation entries after initial momentum moves.
Detects when price retraces to optimal entry zones following breakouts or trend initiations.
Green/red triangle signals often fire before main classification arrows.
Dedicated alerts for both bullish and bearish pullback opportunities.
Based on veryfid's extensive research into pullback mechanics and market structure.
🔄 Dynamic Kernel Regression Envelope
Powerful, zero-setup confluence layer that immediately communicates trend shifts.
Dual-kernel system creates a visual envelope between trend estimates.
Color gradient dynamically represents prediction strength and market conviction.
Crossovers provide additional confirmation without cluttering your chart.
Professional visualization that rivals institutional-grade analysis tools.
✨ Massively Expanded Dimensionality: 10 Custom Sources, 5 Built-In Sources
Transform the indicator from 5 built-in standard to 15 total total features—triple the analytical power.
Integrate ANY TradingView indicator as a machine learning feature.
Built-in normalization ensures all indicators contribute equally regardless of scale.
Create theme-based systems: pure volume analysis, multi-timeframe momentum, or hybrid approaches.
📊 Tiered Mean Reversion Signals with Scalping Alerts
Regular (🔄) and Strong (⬇️/⬆️) mean reversion signals based on statistical extremes.
Opportunities often arise before candle close—perfect for scalping entries.
Visual markers appear at high-probability reversal zones.
Four specialized alert types: upward/downward for both regular and strong reversals.
Pre-optimized probability thresholds, no fine-tuning required.
📅 Daily Kernel Trend Filter
Instantly cleans up noisy intraday charts by aligning with higher timeframe trends.
Swing traders report immediate signal quality improvement.
Automatically deactivates on daily+ timeframes (intelligent context awareness).
Reduces counter-trend signals by up to 60% on lower timeframes.
Simple toggle—no complex multi-timeframe setup required.
📋 Professional Backtesting Stream (-6 to +6)
Multiple distinct signal types (including pullbacks, mean reversions, and kernel deviations) vs. basic binary (buy/sell) output for nuanced analysis.
Enables detailed walk-forward analysis and ML model training.
Compatible with external backtesting frameworks via numeric stream.
Rare precision for TradingView indicators—usually only found in institutional tools.
Perfect for quants building sophisticated strategy layers.
⚡ Performance Optimizations
Faster distance calculations through algorithmic improvements.
Reduced indicator load time (measured via Pine Profiler).
Handles 15 active features without timeouts—critical for multi-chart setups.
Optimized for live auto-trading bots requiring minimal latency.
🎨 Full Visual Customization & Accessibility
Complete color control for all visual elements.
Colorblind-safe default palette with customization options.
Dark mode optimization for extended trading sessions.
Professional appearance matching your trading workspace.
Accessibility features meeting modern UI standards.
🛠️ Advanced Training Modes
Downsampling mode for training on diverse market conditions; Down-sampling and remote-fractals for exotic pattern discovery.
Remote fractals option extends analysis to deep historical patterns.
Reset factor control for fine-tuning neighbor diversity; Reset-factor tuning to control neighbor diversity.
Appeals to systematic traders exploring exotic data approaches.
Prevents temporal clustering bias in model training.
█ HOW TO USE
Understanding the Approach (Core Concept):
Lorentzian Classification uses a k-Nearest Neighbors (k-NN) algorithm. It searches for historical price action "neighborhoods" similar to the current market state. Instead of a simple straight-line (Euclidean) distance, it primarily uses a Lorentzian distance metric, which can account for market "warping" or distortions often seen during high volatility or significant events. Each historical neighbor "votes" on what happened next in its context, and these votes aggregate into a classification score for the current bar.
Interpreting Bar Scores & Signals (Interpreting the Chart):
Bar Prediction Values: Numbers over each candle (e.g., ranging from -8 to +8 if Neighbors Count is 8) represent the aggregated vote from the nearest neighbors. Strong positive scores (e.g., +7, +8) indicate a strong bullish consensus among historical analogs. Strong negative scores (e.g., -7, -8) indicate a strong bearish consensus. Scores near zero suggest neutrality or conflicting signals from neighbors. The intensity of bar colors (if Use Confidence Gradient is on) often reflects these scores.
Main Arrows (Main Buy/Sell Labels): Large ▲/▼ labels are the primary entry signals generated when the overall classification (after filters) is bullish or bearish.
Pullback Triangles: Small green/red ▲/▼ identify potential trend continuation entries. These signals often appear after an initial price move and a subsequent minor retracement, suggesting the trend might resume. This is based on recognizing patterns where a brief counter-movement is followed by a continued advance in the initial trend direction.
Mean-Reversion Symbols: 🔄 (Regular Reversion) appears when price has crossed the average band of the Dynamic Kernel Regression Envelope. ⬇️/⬆️ (Strong Reversion) means price has crossed the far band of the envelope, indicating a more extreme deviation and potentially a stronger reversion opportunity.
Custom Mean Reversion Deviation Markers (Deviation Dots): If Enable Custom Mean Reversion Alerts is on, these dots appear when price deviates from the main kernel regression line by a user-defined ATR multiple, signaling a custom-defined reversion opportunity.
Kernel Regression Lines & Envelope: The Main Kernel Estimate (thicker line) is an adaptive moving average that smooths price and helps identify trend direction. Its color indicates the current trend bias. The Envelope (outer bands and a midline) creates a channel around price, and its interaction with price generates mean reversion signals.
Key Input Groups & Their Purpose:
🔧 GENERAL SETTINGS:
Reduce Price-Time Warping : Toggles the distance metric. When enabled, it reduces the characteristic "warping" effect of the default Lorentzian metric, making the distance calculation more Euclidean in nature. This may be suited for periods exhibiting less pronounced price-time distortions.
Source : Price data for calculations (default: close ).
Neighbors Count : The 'k' in k-NN – number of historical analogs considered.
Max Bars Back : How far back the indicator looks for historical patterns.
Show Exits / Use Dynamic Exits : Controls visibility and logic for exit signals.
Include Full History (Use Remote Fractals) : Allows model to pick "exotic" fractals from deep chart history.
Use Downsampling / Reset Factor : Advanced training parameters affecting neighbor selection.
Show Trade Stats / Use Worst Case Estimates : Displays a real-time performance table (for calibration only).
🎛️ DEFINE CUSTOM SOURCES (OPTIONAL):
Integrate up to 10 external data series (e.g., from other indicators) as features. Each can be optionally normalized. Load the external indicator on your chart first for it to appear in the dropdown.
🧠 FEATURE ENGINEERING:
Configure up to 15 features for the k-NN algorithm. Select type (RSI, WT, CCI, ADX, Custom Sources), parameters, and enable/disable. Start simple (3-5 features) and add complexity gradually. Normalize features with vastly different scales.
🖥️ DISPLAY SETTINGS:
Controls visibility of chart elements: bar colors, prediction values/labels, envelope, etc.
Align Signal with Current Bar : If true, pullback signals appear on the current bar (calculated on closed data). If false (default), they appear on the next bar.
Use ATR Offset : Positions bar prediction values using ATR for visibility.
🧮 FILTERS SETTINGS:
Refine raw classification signals: Volatility, Regime, ADX, EMA/SMA, and Daily Kernel filters.
🌀 KERNEL SETTINGS (Main Kernel):
Adjust parameters for the primary Nadaraya-Watson Kernel Regression line. Lookback Window , Relative Weighting , Regression Level , Lag control sensitivity and smoothness.
✉️ ENVELOPE SETTINGS (for Mean Reversion):
Configure the dynamic Kernel Regression Envelope. ATR Length , Near/Far ATR Factor define band width.
🎨 COLOR SETTINGS (Colors):
Customize colors for all visual elements; override every palette element.
General Approach to Using the Indicator (Suggested Workflow):
Load defaults and observe behavior: Familiarize yourself with the indicator's behavior.
Feature Engineering: Experiment with features, considering momentum, trend, and volatility. Add/replace features gradually.
Apply Filters: Refine signals according to your trading style.
Contextualize: Use kernels and envelope to understand broader trend and potential overbought/oversold areas.
Observe Signals: Pay attention to the interplay of main signals, pullbacks, and mean reversions. Watch interplay of main, pullback & mean-reversion signals.
Calibrate (Not Backtest): Use the "Trade Stats" table for real-time feedback on current settings. This is for calibration, *not a substitute for rigorous backtesting.*
Iterate & refine: Adjust settings, observe outcomes, and refine your approach.
█ ACKNOWLEDGMENTS
This premium version wouldn't exist without the invaluable contributions of:
veryfid for his groundbreaking ideas on unifying pullback detection with Lorentzian Classification, but most of all for always believing in and encouraging me and so many others. For being a mentor and, most importantly, a friend. We all miss you.
RikkiTavi for his help in creating the settings optimization framework and for other invaluable theoretical discussions.
The 1,000+ beta testers worldwide who provided continuous feedback over two years.
The Python porting team who created the foundation for advanced optimization; for the cross-language clone.
The broader TradingView community for making this one of the platform's most popular indicators.
█ FUTURE DEVELOPMENT
The Premium version will continue to evolve based on community feedback. Planned enhancements include:
Specialized exit model trained independently from entry signals (ML-based exit model).
Feature hub with pre-normalized, commonly requested indicators (Pre-normalized feature hub).
Better risk-management options (Enhanced risk-management options).
Fully automated settings optimization (Auto-settings optimization tool).
5 DMA (Close Above) Buy5 DMA (Close Above) Buy
This indicator identifies momentum-based breakout signals when a green candle closes above the 5-day Simple Moving Average (5DMA) for the first time after price was previously below it.
🔹 Signal Logic:
The script plots a green arrow below the candle when a bullish candle (close > open) closes above the 5DMA
Signals are only shown once per trend leg
The signal resets only after price closes back below the 5DMA
🔔 Built-in Alerts:
Use the included alert condition: "Buy Alert" to be notified in real time whenever a valid signal occurs.
This tool is ideal for traders seeking simple price-action confirmations to catch early trend continuation after pullbacks.
Parabolic-Fibonacci MA ForecastThis indicator displays a series of projected price levels based on Fibonacci moving averages. For each selected Fibonacci period, it calculates a simple moving average (SMA) and mirrors the distance from the current price to that SMA in the opposite direction, creating a vertical forecast distance. These forecast distances are drawn forward into the future using geometric spacing (squared increments: 1², 2², 3², etc.), creating a fan-like or polyline visual structure.
Users can choose between three display modes:
Fan: Lines drawn from the current price to projected values at increasing intervals
Polyline: Forecast points connected to form a jagged projection path
Both: Displays both fan and polyline structures simultaneously
Options are provided to adjust the number of Fibonacci lines (up to 12), line width, and colors for lines above/below price or up/down slope.
This tool can help visualize directional price tendencies using multiple SMA-based forecasts in a spatially meaningful layout.
Leslie's EMA Ribbon: 5/9/21 + VWAPEMA + VWAP Crossover Indicator with Alerts
This script blends three Exponential Moving Averages (5, 9, 21) with VWAP to identify momentum shifts and volume-confirmed trend signals. It’s optimized for the Daily timeframe, but also adaptable to shorter-term trading.
🔍 Why this combination?
EMAs provide fast and reliable trend signals:
- 5/9 EMA crossover → short-term shifts (more frequent)
- 9/21 EMA crossover → swing confirmation (less noise)
- VWAP adds volume context used by institutions for fair value tracking.
- 9EMA crossing VWAP confirms price action supported by volume.
Together, these tools offer a multi-layered view of market momentum — combining speed, confirmation, and conviction.
⚙️ Features:
Clean plots with dynamic labels on latest bar
Adjustable line weights for clarity
Alerts included for all crossovers:
- 5EMA / 9EMA
- 9EMA / 21EMA
- 9EMA / VWAP
✅ How to Use:
- Best on the Daily timeframe
- Use 5/9 as early signals, 9/21 for trend filtering, and 9/VWAP for volume-backed setups
- Turn on alerts to stay informed of key shifts without staring at charts
