Triad Trade MatrixOverview
Triad Trade Matrix is an advanced multi-strategy indicator built using Pine Script v5. It is designed to simultaneously track and display key trading metrics for three distinct trading styles on a single chart:
Swing Trading (Swing Supreme):
This mode captures longer-term trends and is designed for trades that typically span several days. It uses customizable depth and deviation parameters to determine swing signals.
Day Trading (Day Blaze):
This mode focuses on intraday price movements. It generates signals that are intended to be executed within a single trading session. The parameters for depth and deviation are tuned to capture more frequent, shorter-term moves.
Scalping (Scalp Surge):
This mode is designed for very short-term trades where quick entries and exits are key. It uses more sensitive parameters to detect rapid price movements suitable for scalping strategies.
Each trading style is represented by its own merged table that displays real-time metrics. The tables update automatically as new trading signals are generated.
Key Features
Multi-Style Tracking:
Swing Supreme (Large): For swing trading; uses a purple theme.
Day Blaze (Medium): For day trading; uses an orange theme.
Scalp Surge (Small): For scalping; uses a green theme.
Real-Time Metrics:
Each table displays key trade metrics including:
Entry Price: The price at which the trade was entered.
Exit Price: The price at which the previous trade was exited.
Position Size: Calculated as the account size divided by the entry price.
Direction: Indicates whether the trade is “Up” (long) or “Down” (short).
Time: The time when the trade was executed (formatted to hours and minutes).
Wins/Losses: The cumulative number of winning and losing trades.
Current Price & PnL: The current price on the chart and the profit/loss computed relative to the entry price.
Duration: The number of bars that the trade has been open.
History Column: A merged summary column that shows the most recent trade’s details (entry, exit, and result).
Customizability:
Column Visibility: Users can toggle individual columns (Ticker, Timeframe, Entry, Exit, etc.) on or off according to their preference.
Appearance Settings: You can customize the table border width, frame color, header background, and text colors.
History Toggle: The merged history column can be enabled or disabled.
Chart Markers: There is an option to show or hide chart markers (labels and lines) that indicate trade entries and exits on the chart.
Trade History Management:
The indicator maintains a rolling history (up to three recent trades per trading style) and displays the latest summary in the merged table.
This history column provides a quick reference to recent performance.
How It Works
Signal Generation & Trade Metrics
Trade Entry/Exit Calculation:
For each trading style, the indicator uses built-in functions (such as ta.lowestbars and ta.highestbars) to analyze price movements. Based on a customizable "depth" and "deviation" parameter, it determines the point of entry for a trade.
Swing Supreme: Uses larger depth/deviation values to capture swing trends.
Day Blaze: Uses intermediate values for intraday moves.
Scalp Surge: Uses tighter parameters to pick up rapid price changes.
Metrics Update:
When a new trade signal is generated (i.e., when the trade entry price is updated), the indicator calculates:
The current PnL as the difference between the current price and the entry price (or vice versa, depending on the trade direction).
The duration as the number of bars since the trade was opened.
The position size using the formula: accountSize / entryPrice.
History Recording:
Each time a new trade is triggered (i.e., when the entry price is updated), a summary string is created (showing entry, exit, and win/loss status) and appended to the corresponding trade history array. The merged table then displays the latest summary from this history.
Table Display
Merged Table Structure:
Each trading style (Swing Supreme, Day Blaze, and Scalp Surge) is represented by a table that has 15 columns. The columns are:
Trade Type (e.g., Swing Supreme)
Ticker
Timeframe
Entry Price
Exit Price
Position Size
Direction
Time of Entry
Account Size
Wins
Losses
Current Price
Current PnL
Duration (in bars)
History (the latest trade summary)
User Customization:
Through the settings panel, users can choose which columns to display.
If a column is toggled off, its cells will remain blank, allowing traders to focus on the metrics that matter most to them.
Appearance & Themes:
The table headers and cell backgrounds are customizable via color inputs. The trading style names are color-coded:
Swing Supreme (Large): Uses a purple theme.
Day Blaze (Medium): Uses an orange theme.
Scalp Surge (Small): Uses a green theme.
How to Use the Indicator
Add the Indicator to Your Chart:
Once published, add "Triad Trade Matrix" to your TradingView chart.
Configure the Settings:
Adjust the Account Size to match your trading capital.
Use the Depth and Deviation inputs for each trading style to fine-tune the signal sensitivity.
Toggle the Chart Markers on if you want visual entry/exit markers on the chart.
Customize which columns are visible via the column visibility toggles.
Enable or disable the History Column to show the merged trade history in the table.
Adjust the appearance settings (colors, border width, etc.) to suit your chart background and preferences.
Interpret the Tables:
Swing Supreme:
This table shows metrics for swing trades.
Look for changes in entry price, PnL, and trade duration to monitor longer-term moves.
Day Blaze:
This table tracks day trading activity.It will update more frequently, reflecting intraday trends.
Scalp Surge:
This table is dedicated to scalping signals.Use it to see quick entry/exit data and rapid profit/loss changes.
The History column (if enabled) gives you a snapshot of the most recent trade (e.g., "E:123.45 X:124.00 Up Win").
Use allerts:
The indicator includes alert condition for new trade entries(both long and short)for each trading style.
Summary:
Triad Trade Matrix provides an robust,multi-dimensional view of your trading performance across swing trading, day trading, and scalping.
Best to be used whith my other indicators
True low high
Vma Ext_Adv_CustomTbl
This indicator is ideal for traders who wish to monitor multiple trading styles simultaneously, with a clear, technical, and real-time display of performance metrics.
Happy Trading!
Cari dalam skrip untuk "scalping"
ATR Overlay with Trailing Flip [ask2maniish]📘 ATR Overlay with Trailing Flip
🔍 Overview
The ATR Overlay with Trailing Flip is a dynamic, visually-enhanced overlay indicator designed to assist traders in trend detection, trailing stop management, and volatility-based decision making. It leverages the Average True Range (ATR) with optional dynamic multipliers, filters, and alerts to enhance trade execution precision.
⚙️ Features Summary
✅ Static & dynamic ATR multiplier
✅ Customizable trailing stop logic
✅ Volume & Bollinger Band filters
✅ Buy/Sell label signals with alerts
✅ ATR bands with color fill
✅ Optional candle coloring based on trend
✅ Table showing current ATR multiplier
✅ Fully customizable visual controls
🔧 User Inputs
📘 Info Panel
ATR Usage Guide
Tooltip with trading-style recommendations:
Scalping: ATR 5–10, Intraday: ATR 10–14 , Swing: ATR 14–21 , Position: ATR 21–50
📊 Visual Elements
📈 Plots
Upper/Lower ATR Bands
ATR Fill Zone
Dynamic Trailing Stop Line
🕯 Candle Coloring
Candles colored green (uptrend) or red (downtrend)
Wick coloring matches body
🏷 Signal Labels
"BUY" below candle when trend flips up
"SELL" above candle when trend flips down
📊 Table (Top Right)
Displays current multiplier value:
If static: Static: x.x
If dynamic: percentage format based on ATR ratio
🔔 Alerts
Two alert conditions:
Flip to Long → "📈 ATR flip to LONG"
Flip to Short → "📉 ATR flip to SHORT"
Sound can be enabled for real-time feedback.
🧠 Best Practices
Combine this tool with support/resistance or order flow indicators
Use dynamic ATR during volatile periods for better adaptability
Filter signals in ranging markets with BBand Width Filter
For scalping, reduce ATR period and multiplier for tighter risk
🛠️ Customization Tips
Adjust trailingPeriod for tighter/looser stops
Use color inputs to match your charting theme
Disable features (labels/fill) to declutter chart
Multi-timeframe Moving Average Overlay w/ Sentiment Table🔍 Overview
This indicator overlays selected moving averages (MA) from multiple timeframes directly onto the chart and provides a dynamic sentiment table that summarizes the relative bullish or bearish alignment of short-, mid-, and long-term moving averages.
It supports seven moving average types — including traditional and advanced options like DEMA, TEMA, and HMA — and provides visual feedback via table highlights and alerts when strong momentum alignment is detected.
This tool is designed to support traders who rely on multi-timeframe analysis for trend confirmation, momentum filtering, and high-probability entry timing.
⚙️ Core Features
Multi-Timeframe MA Overlay:
Plot moving averages from 1-minute, 5-minute, 1-hour, 1-day, 1-week, and 1-month timeframes on the same chart for visual trend alignment.
Customizable MA Type:
Choose from:
EMA (Exponential Moving Average)
SMA (Simple Moving Average)
DEMA (Double EMA)
TEMA (Triple EMA)
WMA (Weighted MA)
VWMA (Volume-Weighted MA)
HMA (Hull MA)
Adjustable MA Length:
Change the length of all moving averages globally to suit your strategy (e.g. 9, 21, 50, etc.).
Sentiment Table:
Visually track trend sentiment across four key zones (Hourly, Daily, Weekly, Monthly). Each is based on the relative positioning of short-term and long-term MAs.
Sentiment Symbols Explained:
↑↑↑: Strong bullish momentum (short-term MAs stacked above longer-term MAs)
↑↑ / ↑: Moderate bullish bias
↓↓↓: Strong bearish momentum
↓↓ / ↓: Moderate bearish bias
Table Customization:
Choose the table’s position on the chart (bottom right, top right, bottom left, top left).
Style Customization:
Display MA lines as standard Line or Stepline format.
Color Customization:
Individual colors for each timeframe MA line for visual clarity.
Built-in Alerts:
Receive alerts when strong bullish (↑↑↑) or bearish (↓↓↓) sentiment is detected on any timeframe block.
📈 Use Cases
1. Trend Confirmation:
Use sentiment alignment across multiple timeframes to confirm the overall trend direction before entering a trade.
2. Entry Timing:
Wait for a shift from neutral to strong bullish or bearish sentiment to time entries during pullbacks or breakouts.
3. Momentum Filtering:
Only trade in the direction of the dominant multi-timeframe trend. For example, ignore long setups when all sentiment blocks show bearish alignment.
4. Swing & Intraday Scalping:
Use hourly and daily sentiment zones for swing trades, or rely on 1m/5m MAs for precise scalping decisions in fast-moving markets.
5. Strategy Layering:
Combine this overlay with support/resistance, RSI, or volume-based signals to enhance decision-making with multi-timeframe context.
⚠️ Important Notes
Lower-timeframe values (1m, 5m) may appear static on higher-timeframe charts due to resolution limits in TradingView. This is expected behavior.
The indicator uses MA stacking, not crossover events, to determine sentiment.
Pullback SARPullback SAR - Parabolic SAR with Pullback Detection
Description: The "Pullback SAR" is an advanced indicator built on the classic Parabolic SAR but with additional functionality for detecting pullbacks. It helps identify moments when the price pulls back from the main trend, offering potential entry signals. Perfect for traders looking to enter the market after a correction.
Key Features:
SAR (Parabolic SAR): The Parabolic SAR indicator is used to determine potential trend reversal points. It marks levels where the price could reverse its direction.
Pullback Detection: The indicator catches periods when the price moves away from the main trend and then returns, which may suggest a re-entry opportunity.
Long and Short Signals: Once a pullback in the direction of the main trend is identified, the indicator generates signals that could be used to open positions.
Simple and Clear Construction: The indicator is based on the classic SAR, with added pullback detection logic to enhance the accuracy of the signals.
Parameters:
Start (SAR Step): Determines the initial step for the SAR calculation, which controls the rate of change in the indicator at the beginning.
Increment (SAR Increment): Defines the maximum step size for SAR, allowing traders to adjust the indicator’s sensitivity to market volatility.
Max Value (SAR Max): Sets the upper limit for the SAR value, controlling its volatility.
Usage:
Swing Trading: Ideal for swing strategies, aiming to capture larger price moves while maintaining a safe margin.
Scalping: Due to its precise pullback detection, it can also be used in scalping, especially when the price quickly returns to the main trend.
Risk Management: The combination of SAR and pullback detection allows traders to adjust their positions according to changing market conditions.
Special Notes:
Adjusting Parameters: Depending on the market and trading style, users can adjust the SAR parameters (Start, Increment, Max Value) to fit their needs.
Combination with Other Indicators: It's recommended to use the indicator alongside other technical analysis tools (e.g., EMA, RSI) to enhance the accuracy of the signals.
Link to the script: This open-source version of the indicator is available on TradingView, enabling full customization and adjustments to meet your personal trading strategy. Share your experiences and suggestions!
[TehThomas] - ICT Inversion Fair value Gap (IFVG) The Inversion Fair Value Gap (IFVG) indicator is a powerful tool designed for traders who utilize ICT (Inner Circle Trader) strategies. It focuses on identifying and displaying Inversion Fair Value Gaps, which are critical zones that emerge when traditional Fair Value Gaps (FVGs) are invalidated by price action. These gaps represent key areas where price often reacts, making them essential for identifying potential reversals, trend continuations, and liquidity zones.
What Are Inversion Fair Value Gaps?
Inversion Fair Value Gaps occur when price revisits a traditional FVG and breaks through it, effectively flipping its role in the market. For example:
A bullish FVG that is invalidated becomes a bearish zone, often acting as resistance.
A bearish FVG that is invalidated transforms into a bullish zone, serving as support.
These gaps are significant because they often align with institutional trading activity. They highlight areas where large orders have been executed or where liquidity has been targeted. Understanding these gaps provides traders with a deeper insight into market structure and helps them anticipate future price movements with greater accuracy.
Why This Strategy Works
The IFVG concept is rooted in ICT principles, which emphasize liquidity dynamics, market inefficiencies, and institutional order flow. Traditional FVGs represent imbalances in price action caused by gaps between candles. When these gaps are invalidated, they become inversion zones that can act as magnets for price. These zones frequently serve as high-probability areas for price reversals or trend continuations.
This strategy works because it aligns with how institutional traders operate. Inversion gaps often mark areas of interest for "smart money," making them reliable indicators of potential market turning points. By focusing on these zones, traders can align their strategies with institutional behavior and improve their overall trading edge.
How the Indicator Works
This indicator simplifies the process of identifying and tracking IFVGs by automating their detection and visualization on the chart. It scans the chart in real-time to identify bullish and bearish FVGs that meet user-defined thresholds for inversion. Once identified, these gaps are dynamically displayed on the chart with distinct colors for bullish and bearish zones.
The indicator also tracks whether these gaps are mitigated or broken by price action. When an IFVG is broken, it extends the zone for a user-defined number of bars to visualize its potential role as a new support or resistance level. Additionally, alerts can be enabled to notify traders when new IFVGs form or when existing ones are broken, ensuring timely decision-making in fast-moving markets.
Key Features
Automatic Detection: The indicator automatically identifies bullish and bearish IFVGs based on user-defined thresholds.
Dynamic Visualization: It displays IFVGs directly on the chart with customizable colors for easy differentiation.
Real-Time Updates: The status of each IFVG is updated dynamically based on price action.
Zone Extensions: Broken IFVGs are extended to visualize their potential as support or resistance levels.
Alerts: Notifications can be set up to alert traders when key events occur, such as the formation or breaking of an IFVG.
These features make the tool highly efficient and reduce the need for manual analysis, allowing traders to focus on execution rather than tedious chart work.
Benefits of Using This Indicator
The IFVG indicator offers several advantages that make it an indispensable tool for ICT traders. By automating the detection of inversion gaps, it saves time and reduces errors in analysis. The clearly defined zones improve risk management by providing precise entry points, stop-loss levels, and profit targets based on market structure.
This tool is also highly versatile and adapts seamlessly across different timeframes. Whether you’re scalping lower timeframes or swing trading higher ones, it provides actionable insights tailored to your trading style. Furthermore, by aligning your strategy with institutional logic, you gain a significant edge in anticipating market movements.
Practical Applications
This indicator can be used across various trading styles:
Scalping: Identify quick reversal points on lower timeframes using real-time alerts.
Day Trading: Use inversion gaps as key levels for intraday support/resistance or trend continuation setups.
Swing Trading: Analyse higher timeframes to identify major inversion zones that could act as critical turning points in larger trends.
By integrating this tool into your trading routine, you can streamline your analysis process and focus on executing high-probability setups.
Conclusion
The Inversion Fair Value Gap (IFVG) indicator is more than just a technical analysis tool—it’s a strategic ally for traders looking to refine their edge in the markets. By automating the detection and tracking of inversion gaps based on ICT principles, it simplifies complex market analysis while maintaining accuracy and depth. Whether you’re new to ICT strategies or an experienced trader seeking greater precision, this indicator will elevate your trading game by aligning your approach with institutional behavior.
If you’re serious about improving your trading results while saving time and effort, this tool is an essential addition to your toolkit. It provides clarity in chaotic markets, enhances precision in trade execution, and ensures you never miss critical opportunities in your trading journey.
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Multi-Timeframe Confluence IndicatorThe Multi-Timeframe Confluence Indicator strategically combines multiple timeframes with technical tools like EMA and RSI to provide robust, high-probability trading signals. This combination is grounded in the principles of technical analysis and market behavior, tailored for traders across all styles—whether intraday, swing, or positional.
1. The Power of Multi-Timeframe Confluence
Markets are influenced by participants operating on different time horizons:
• Intraday traders act on short-term price fluctuations.
• Swing traders focus on intermediate trends lasting days or weeks.
• Position traders aim to capture multi-month or long-term trends.
By aligning signals from a higher timeframe (macro trend) with a lower timeframe (micro trend), the indicator ensures that short-term entries are in harmony with the broader market direction. This multi-timeframe approach significantly reduces false signals caused by temporary market noise or counter-trend moves.
Example: A bullish trend on the daily chart (higher timeframe) combined with a bullish RSI and EMA alignment on the 15-minute chart (lower timeframe) provides a stronger confirmation than relying on the 15-minute chart alone.
2. Why EMA and RSI Are Essential
Each element of the indicator serves a unique role in ensuring accuracy and reliability:
• EMA (Exponential Moving Average):
• A dynamic trend filter that adjusts quickly to price changes.
• On the higher timeframe, it establishes the overall trend direction (e.g., bullish or bearish).
• On the lower timeframe, it identifies precise entry/exit zones within the trend.
• RSI (Relative Strength Index):
• Adds a momentum-based perspective, confirming whether a trend is backed by strong buying or selling pressure.
• Ensures that signals occur in areas of strength (RSI > 55 for bullish signals, RSI < 45 for bearish signals), filtering out weak or uncertain price movements.
By combining EMA (trend) and RSI (momentum), the indicator delivers confluence-based validation, where both trend and momentum align, making signals more reliable.
3. Cooldown Period for Signal Optimization
Trading in choppy or sideways markets often leads to overtrading and false signals. The cooldown period ensures that once a signal is generated, subsequent signals are suppressed for a defined number of bars. This prevents traders from entering low-probability trades during indecisive market phases, improving overall signal quality.
Example: After a bullish confluence signal, the cooldown period prevents a bearish signal from being triggered prematurely if the market enters a temporary retracement.
4. Use Cases Across Trading Styles
This indicator caters to various trading styles, each benefiting from the confluence of timeframes and technical elements:
• Intraday Trading:
• Use a 1-hour chart as the higher timeframe and a 5-minute chart as the lower timeframe.
• Benefit: Align intraday entries with the hourly trend for higher win rates.
• Swing Trading:
• Use a daily chart as the higher timeframe and a 1-hour chart as the lower timeframe.
• Benefit: Capture multi-day moves while avoiding counter-trend entries.
• Scalping:
• Use a 30-minute chart as the higher timeframe and a 1-minute chart as the lower timeframe.
• Benefit: Enhance scalping efficiency by ensuring short-term trades align with broader intraday trends.
• Position Trading:
• Use a weekly chart as the higher timeframe and a daily chart as the lower timeframe.
• Benefit: Time long-term entries more precisely, maximizing profit potential.
5. Robustness Through Customization
The indicator allows traders to customize:
• Timeframes for higher and lower analysis.
• EMA lengths for trend filtering.
• RSI settings for momentum confirmation.
• Cooldown periods to adapt to market volatility.
This flexibility ensures that the indicator can be tailored to suit individual trading preferences, market conditions, and asset classes, making it a comprehensive tool for any trading strategy.
Why This Mashup Stands Out
The Multi-Timeframe Confluence Indicator is more than a sum of its parts. It leverages:
• EMA’s ability to identify trends, combined with RSI’s insight into momentum, ensuring each signal is well-supported.
• A multi-timeframe perspective that incorporates both macro and micro trends, filtering out noise and improving reliability.
• A cooldown mechanism that prevents overtrading, a common pitfall for traders in volatile markets.
This integration results in a powerful, adaptable indicator that provides actionable, high-confidence signals, reducing uncertainty and enhancing trading performance across all styles.
EBL - Enigma BOS Logic Select Higher Time FrameThe "EBL – Enigma BOS Logic" is a unique multi-timeframe trading indicator designed for traders who rely on structured price action and key level retests to find high-probability trade opportunities. This indicator automates the identification of significant price levels on a higher timeframe, plots them across all lower timeframes, and provides actionable signals (buy/sell) when price retests those levels. It is ideal for traders who focus on lower timeframes for precise entries while using higher timeframe structure for trend confirmation.
How the Indicator Works
Key Level Detection:
The indicator allows the user to select a key level timeframe (e.g., 1H, 4H, Daily, Weekly). It then identifies Break of Structure (BOS) levels on the selected timeframe.
When a bullish-to-bearish or bearish-to-bullish reversal is detected on the selected timeframe, the corresponding high or low of the reversal candle is stored as a key level.
These key levels are plotted as horizontal lines on all lower timeframes, helping the trader visualize critical support and resistance zones across multiple timeframes.
Retest Confirmation:
Once a key level is established, the indicator continuously monitors the price action on lower timeframes.
If the price touches or crosses a key level, it is considered a retest, and an alert is generated.
The indicator plots a retest marker (customizable as a circle or diamond) at the exact price level where the retest occurred, providing a clear visual cue for the trader.
Trading Signals:
When a retest is detected, a table is displayed on the chart with the following information:
The trading pair.
The signal direction (Buy/Sell).
The price at which the retest occurred.
This table gives traders instant insight into actionable opportunities, making it easier to focus on live market conditions without missing critical retests.
Key Features
Multi-Timeframe Analysis: The indicator focuses on a higher timeframe selected by the user, ensuring that only the most relevant key levels are plotted for lower timeframe trading.
Dynamic Retest Signals: It dynamically identifies when price retests a key level and provides both visual markers and real-time alerts.
Customizable Retest Markers: Users can customize the retest marker's shape (circle/diamond) and color to suit their preferences.
Signal Table: A built-in table displays clear buy or sell signals when retests occur, ensuring that traders have all the necessary information at a glance.
Alerts: The indicator supports real-time alerts for retests, helping traders stay informed even when they are not actively monitoring the chart.
How to Use the Indicator
Select a Key Level Timeframe:
In the input settings, choose a higher timeframe (e.g., 4H or Daily) to define key levels.
The indicator will calculate Break of Structure (BOS) levels on the selected timeframe and plot them as horizontal lines across all lower timeframes.
Monitor Lower Timeframes for Retests:
Switch to a lower timeframe (e.g., 15m, 5m) to wait for price to approach the key levels plotted by the indicator.
When a retest occurs, observe the signal table and retest marker for actionable trade signals.
Act on Buy/Sell Signals:
Use the information provided by the signal table to make trading decisions.
For a buy signal, wait for bullish confirmation (e.g., price holding above the retested level).
For a sell signal, wait for bearish confirmation (e.g., price holding below the retested level).
Trading Concepts and Underlying Logic
The indicator is based on the Break of Structure (BOS) concept, a core principle in price action trading. BOS levels represent points where the market shifts its trend direction, making them critical zones for potential reversals or continuations.
By focusing on higher timeframe BOS levels, the indicator helps traders align their lower timeframe entries with the overall market trend.
The concept of retests is used to confirm the validity of a key level. A retest occurs when the price returns to a previously identified BOS level, offering a high-probability entry point.
Use Cases
Scalping: Traders who prefer lower timeframe scalping can use the indicator to align their trades with higher timeframe key levels, increasing the likelihood of successful trades.
Swing Trading: Swing traders can use the indicator to identify key reversal zones on higher timeframes and plan their trades accordingly.
Intraday Trading: Intraday traders can benefit from the real-time alerts and signals generated by the indicator, ensuring they never miss critical retests during active trading hours.
Conclusion
The "EBL – Enigma BOS Logic" is a powerful tool for traders who want to enhance their price action trading by focusing on key levels and retests across multiple timeframes. By automating the identification of BOS levels and providing clear retest signals, it helps traders make more informed and confident trading decisions. Whether you are a scalper, intraday trader, or swing trader, this indicator offers valuable insights to improve your trading performance.
Multi-Timeframe Stochastic Alert [tradeviZion]# Multi-Timeframe Stochastic Alert : Complete User Guide
## 1. Introduction
### What is the Multi-Timeframe Stochastic Alert?
The Multi-Timeframe Stochastic Alert is an advanced technical analysis tool that helps traders identify potential trading opportunities by analyzing momentum across multiple timeframes. It combines the power of the stochastic oscillator with multi-timeframe analysis to provide more reliable trading signals.
### Key Features and Benefits
- Simultaneous analysis of 6 different timeframes
- Advanced alert system with customizable conditions
- Real-time visual feedback with color-coded signals
- Comprehensive data table with instant market insights
- Motivational trading messages for psychological support
- Flexible theme support for comfortable viewing
### How it Can Help Your Trading
- Identify stronger trends by confirming momentum across multiple timeframes
- Reduce false signals through multi-timeframe confirmation
- Stay informed of market changes with customizable alerts
- Make more informed decisions with comprehensive market data
- Maintain trading discipline with clear visual signals
## 2. Understanding the Display
### The Stochastic Chart
The main chart displays three key components:
1. ** K-Line (Fast) **: The primary stochastic line (default color: green)
2. ** D-Line (Slow) **: The signal line (default color: red)
3. ** Reference Lines **:
- Overbought Level (80): Upper dashed line
- Middle Line (50): Center dashed line
- Oversold Level (20): Lower dashed line
### The Information Table
The table provides a comprehensive view of stochastic readings across all timeframes. Here's what each column means:
#### Column Explanations:
1. ** Timeframe **
- Shows the time period for each row
- Example: "5" = 5 minutes, "15" = 15 minutes, etc.
2. ** K Value **
- The fast stochastic line value (0-100)
- Higher values indicate stronger upward momentum
- Lower values indicate stronger downward momentum
3. ** D Value **
- The slow stochastic line value (0-100)
- Helps confirm momentum direction
- Crossovers with K-line can signal potential trades
4. ** Status **
- Shows current momentum with symbols:
- ▲ = Increasing (bullish)
- ▼ = Decreasing (bearish)
- Color matches the trend direction
5. ** Trend **
- Shows the current market condition:
- "Overbought" (above 80)
- "Bullish" (above 50)
- "Bearish" (below 50)
- "Oversold" (below 20)
#### Row Explanations:
1. ** Title Row **
- Shows "🎯 Multi-Timeframe Stochastic"
- Indicates the indicator is active
2. ** Header Row **
- Contains column titles
- Dark blue background for easy reading
3. ** Timeframe Rows **
- Six rows showing different timeframe analyses
- Each row updates independently
- Color-coded for easy trend identification
4. **Message Row**
- Shows rotating motivational messages
- Updates every 5 bars
- Helps maintain trading discipline
### Visual Indicators and Colors
- ** Green Background **: Indicates bullish conditions
- ** Red Background **: Indicates bearish conditions
- ** Color Intensity **: Shows strength of the signal
- ** Background Highlights **: Appear when alert conditions are met
## 3. Core Settings Groups
### Stochastic Settings
These settings control the core calculation of the stochastic oscillator.
1. ** Length (Default: 14) **
- What it does: Determines the lookback period for calculations
- Higher values (e.g., 21): More stable, fewer signals
- Lower values (e.g., 8): More sensitive, more signals
- Recommended:
* Day Trading: 8-14
* Swing Trading: 14-21
* Position Trading: 21-30
2. ** Smooth K (Default: 3) **
- What it does: Smooths the main stochastic line
- Higher values: Smoother line, fewer false signals
- Lower values: More responsive, but more noise
- Recommended:
* Day Trading: 2-3
* Swing Trading: 3-5
* Position Trading: 5-7
3. ** Smooth D (Default: 3) **
- What it does: Smooths the signal line
- Works in conjunction with Smooth K
- Usually kept equal to or slightly higher than Smooth K
- Recommended: Keep same as Smooth K for consistency
4. ** Source (Default: Close) **
- What it does: Determines price data for calculations
- Options: Close, Open, High, Low, HL2, HLC3, OHLC4
- Recommended: Stick with Close for most reliable signals
### Timeframe Settings
Controls the multiple timeframes analyzed by the indicator.
1. ** Main Timeframes (TF1-TF6) **
- TF1 (Default: 10): Shortest timeframe for quick signals
- TF2 (Default: 15): Short-term trend confirmation
- TF3 (Default: 30): Medium-term trend analysis
- TF4 (Default: 30): Additional medium-term confirmation
- TF5 (Default: 60): Longer-term trend analysis
- TF6 (Default: 240): Major trend confirmation
Recommended Combinations:
* Scalping: 1, 3, 5, 15, 30, 60
* Day Trading: 5, 15, 30, 60, 240, D
* Swing Trading: 15, 60, 240, D, W, M
2. ** Wait for Bar Close (Default: true) **
- What it does: Controls when calculations update
- True: More reliable but slightly delayed signals
- False: Faster signals but may change before bar closes
- Recommended: Keep True for more reliable signals
### Alert Settings
#### Main Alert Settings
1. ** Enable Alerts (Default: true) **
- Master switch for all alert notifications
- Toggle this off when you don't want any alerts
- Useful during testing or when you want to focus on visual signals only
2. ** Alert Condition (Options) **
- "Above Middle": Bullish momentum alerts only
- "Below Middle": Bearish momentum alerts only
- "Both": Alerts for both directions
- Recommended:
* Trending Markets: Choose direction matching the trend
* Ranging Markets: Use "Both" to catch reversals
* New Traders: Start with "Both" until you develop a specific strategy
3. ** Alert Frequency **
- "Once Per Bar": Immediate alerts during the bar
- "Once Per Bar Close": Alerts only after bar closes
- Recommended:
* Day Trading: "Once Per Bar" for quick reactions
* Swing Trading: "Once Per Bar Close" for confirmed signals
* Beginners: "Once Per Bar Close" to reduce false signals
#### Timeframe Check Settings
1. ** First Check (TF1) **
- Purpose: Confirms basic trend direction
- Alert Triggers When:
* For Bullish: Stochastic is above middle line (50)
* For Bearish: Stochastic is below middle line (50)
* For Both: Triggers in either direction based on position relative to middle line
- Settings:
* Enable/Disable: Turn first check on/off
* Timeframe: Default 5 minutes
- Best Used For:
* Quick trend confirmation
* Entry timing
* Scalping setups
2. ** Second Check (TF2) **
- Purpose: Confirms both position and momentum
- Alert Triggers When:
* For Bullish: Stochastic is above middle line AND both K&D lines are increasing
* For Bearish: Stochastic is below middle line AND both K&D lines are decreasing
* For Both: Triggers based on position and direction matching current condition
- Settings:
* Enable/Disable: Turn second check on/off
* Timeframe: Default 15 minutes
- Best Used For:
* Trend strength confirmation
* Avoiding false breakouts
* Day trading setups
3. ** Third Check (TF3) **
- Purpose: Confirms overall momentum direction
- Alert Triggers When:
* For Bullish: Both K&D lines are increasing (momentum confirmation)
* For Bearish: Both K&D lines are decreasing (momentum confirmation)
* For Both: Triggers based on matching momentum direction
- Settings:
* Enable/Disable: Turn third check on/off
* Timeframe: Default 30 minutes
- Best Used For:
* Major trend confirmation
* Swing trading setups
* Avoiding trades against the main trend
Note: All three conditions must be met simultaneously for the alert to trigger. This multi-timeframe confirmation helps reduce false signals and provides stronger trade setups.
#### Alert Combinations Examples
1. ** Conservative Setup **
- Enable all three checks
- Use "Once Per Bar Close"
- Timeframe Selection Example:
* First Check: 15 minutes
* Second Check: 1 hour (60 minutes)
* Third Check: 4 hours (240 minutes)
- Wider gaps between timeframes reduce noise and false signals
- Best for: Swing trading, beginners
2. ** Aggressive Setup **
- Enable first two checks only
- Use "Once Per Bar"
- Timeframe Selection Example:
* First Check: 5 minutes
* Second Check: 15 minutes
- Closer timeframes for quicker signals
- Best for: Day trading, experienced traders
3. ** Balanced Setup **
- Enable all checks
- Use "Once Per Bar"
- Timeframe Selection Example:
* First Check: 5 minutes
* Second Check: 15 minutes
* Third Check: 1 hour (60 minutes)
- Balanced spacing between timeframes
- Best for: All-around trading
### Visual Settings
#### Alert Visual Settings
1. ** Show Background Color (Default: true) **
- What it does: Highlights chart background when alerts trigger
- Benefits:
* Makes signals more visible
* Helps spot opportunities quickly
* Provides visual confirmation of alerts
- When to disable:
* If using multiple indicators
* When preferring a cleaner chart
* During manual backtesting
2. ** Background Transparency (Default: 90) **
- Range: 0 (solid) to 100 (invisible)
- Recommended Settings:
* Clean Charts: 90-95
* Multiple Indicators: 85-90
* Single Indicator: 80-85
- Tip: Adjust based on your chart's overall visibility
3. ** Background Colors **
- Bullish Background:
* Default: Green
* Indicates upward momentum
* Customizable to match your theme
- Bearish Background:
* Default: Red
* Indicates downward momentum
* Customizable to match your theme
#### Level Settings
1. ** Oversold Level (Default: 20) **
- Traditional Setting: 20
- Adjustable Range: 0-100
- Usage:
* Lower values (e.g., 10): More conservative
* Higher values (e.g., 30): More aggressive
- Trading Applications:
* Potential bullish reversal zone
* Support level in uptrends
* Entry point for long positions
2. ** Overbought Level (Default: 80) **
- Traditional Setting: 80
- Adjustable Range: 0-100
- Usage:
* Lower values (e.g., 70): More aggressive
* Higher values (e.g., 90): More conservative
- Trading Applications:
* Potential bearish reversal zone
* Resistance level in downtrends
* Exit point for long positions
3. ** Middle Line (Default: 50) **
- Purpose: Trend direction separator
- Applications:
* Above 50: Bullish territory
* Below 50: Bearish territory
* Crossing 50: Potential trend change
- Trading Uses:
* Trend confirmation
* Entry/exit trigger
* Risk management level
#### Color Settings
1. ** Bullish Color (Default: Green) **
- Used for:
* K-Line (Main stochastic line)
* Status symbols when trending up
* Trend labels for bullish conditions
- Customization:
* Choose colors that stand out
* Match your trading platform theme
* Consider color blindness accessibility
2. ** Bearish Color (Default: Red) **
- Used for:
* D-Line (Signal line)
* Status symbols when trending down
* Trend labels for bearish conditions
- Customization:
* Choose contrasting colors
* Ensure visibility on your chart
* Consider monitor settings
3. ** Neutral Color (Default: Gray) **
- Used for:
* Middle line (50 level)
- Customization:
* Should be less prominent
* Easy on the eyes
* Good background contrast
### Theme Settings
1. **Color Theme Options**
- Dark Theme (Default):
* Dark background with white text
* Optimized for dark chart backgrounds
* Reduces eye strain in low light
- Light Theme:
* Light background with black text
* Better visibility in bright conditions
- Custom Theme:
* Use your own color preferences
2. ** Available Theme Colors **
- Table Background
- Table Text
- Table Headers
Note: The theme affects only the table display colors. The stochastic lines and alert backgrounds use their own color settings.
### Table Settings
#### Position and Size
1. ** Table Position **
- Options:
* Top Right (Default)
* Middle Right
* Bottom Right
* Top Left
* Middle Left
* Bottom Left
- Considerations:
* Chart space utilization
* Personal preference
* Multiple monitor setups
2. ** Text Sizes **
- Title Size Options:
* Tiny: Minimal space usage
* Small: Compact but readable
* Normal (Default): Standard visibility
* Large: Enhanced readability
* Huge: Maximum visibility
- Data Size Options:
* Recommended: One size smaller than title
* Adjust based on screen resolution
* Consider viewing distance
3. ** Empowering Messages **
- Purpose:
* Maintain trading discipline
* Provide psychological support
* Remind of best practices
- Rotation:
* Changes every 5 bars
* Categories include:
- Market Wisdom
- Strategy & Discipline
- Mindset & Growth
- Technical Mastery
- Market Philosophy
## 4. Setting Up for Different Trading Styles
### Day Trading Setup
1. **Timeframes**
- Primary: 5, 15, 30 minutes
- Secondary: 1H, 4H
- Alert Settings: "Once Per Bar"
2. ** Stochastic Settings **
- Length: 8-14
- Smooth K/D: 2-3
- Alert Condition: Match market trend
3. ** Visual Settings **
- Background: Enabled
- Transparency: 85-90
- Theme: Based on trading hours
### Swing Trading Setup
1. ** Timeframes **
- Primary: 1H, 4H, Daily
- Secondary: Weekly
- Alert Settings: "Once Per Bar Close"
2. ** Stochastic Settings **
- Length: 14-21
- Smooth K/D: 3-5
- Alert Condition: "Both"
3. ** Visual Settings **
- Background: Optional
- Transparency: 90-95
- Theme: Personal preference
### Position Trading Setup
1. ** Timeframes **
- Primary: Daily, Weekly
- Secondary: Monthly
- Alert Settings: "Once Per Bar Close"
2. ** Stochastic Settings **
- Length: 21-30
- Smooth K/D: 5-7
- Alert Condition: "Both"
3. ** Visual Settings **
- Background: Disabled
- Focus on table data
- Theme: High contrast
## 5. Troubleshooting Guide
### Common Issues and Solutions
1. ** Too Many Alerts **
- Cause: Settings too sensitive
- Solutions:
* Increase timeframe intervals
* Use "Once Per Bar Close"
* Enable fewer timeframe checks
* Adjust stochastic length higher
2. ** Missed Signals **
- Cause: Settings too conservative
- Solutions:
* Decrease timeframe intervals
* Use "Once Per Bar"
* Enable more timeframe checks
* Adjust stochastic length lower
3. ** False Signals **
- Cause: Insufficient confirmation
- Solutions:
* Enable all three timeframe checks
* Use larger timeframe gaps
* Wait for bar close
* Confirm with price action
4. ** Visual Clarity Issues **
- Cause: Poor contrast or overlap
- Solutions:
* Adjust transparency
* Change theme settings
* Reposition table
* Modify color scheme
### Best Practices
1. ** Getting Started **
- Start with default settings
- Use "Both" alert condition
- Enable all timeframe checks
- Wait for bar close
- Monitor for a few days
2. ** Fine-Tuning **
- Adjust one setting at a time
- Document changes and results
- Test in different market conditions
- Find your optimal timeframe combination
- Balance sensitivity with reliability
3. ** Risk Management **
- Don't trade against major trends
- Confirm signals with price action
- Use appropriate position sizing
- Set clear stop losses
- Follow your trading plan
4. ** Regular Maintenance **
- Review settings weekly
- Adjust for market conditions
- Update color scheme for visibility
- Clean up chart regularly
- Maintain trading journal
## 6. Tips for Success
1. ** Entry Strategies **
- Wait for all timeframes to align
- Confirm with price action
- Use proper position sizing
- Consider market conditions
2. ** Exit Strategies **
- Trail stops using indicator levels
- Take partial profits at targets
- Honor your stop losses
- Don't fight the trend
3. ** Psychology **
- Stay disciplined with settings
- Don't override system signals
- Keep emotions in check
- Learn from each trade
4. ** Continuous Improvement **
- Record your trades
- Review performance regularly
- Adjust settings gradually
- Stay educated on markets
[ETH] Optimized Trend Strategy - Lorenzo SuperScalpStrategy Title: Optimized Trend Strategy - Lorenzo SuperScalp
Description:
The Optimized Trend Strategy is a comprehensive trading system tailored for Ethereum (ETH) and optimized for the 15-minute timeframe but adaptable to various timeframes. This strategy utilizes a combination of technical indicators—RSI, Bollinger Bands, and MACD—to identify and act on price trends efficiently, providing traders with actionable buy and sell signals based on market conditions.
Key Features:
Multi-Indicator Approach:
RSI (Relative Strength Index): Identifies overbought and oversold conditions to time market entries and exits.
Bollinger Bands: Acts as a dynamic support and resistance level, helping to pinpoint precise entry and exit zones.
MACD (Moving Average Convergence Divergence): Detects momentum changes through bullish and bearish crossovers.
Signal Conditions:
Buy Signal:
RSI is below 45 (indicating an oversold condition).
Price is near or below the lower Bollinger Band.
MACD bullish crossover occurs.
Sell Signal:
RSI is above 55 (indicating an overbought condition).
Price is near or above the upper Bollinger Band.
MACD bearish crossunder occurs.
Trade Execution Logic:
Long Trades: Opened when a buy signal flashes. If there’s an open short position, it is closed before opening a long.
Short Trades: Opened when a sell signal flashes. If there’s an open long position, it is closed before opening a short.
The strategy also ensures a minimum number of bars between consecutive trades to avoid rapid trading in choppy conditions.
Pyramiding Support:
Up to 3 consecutive trades in the same direction are allowed, enabling traders to scale into positions based on strong signals.
Visual Indicators:
RSI Levels: Dotted lines at 45 and 55 for quick reference to oversold and overbought levels.
Buy and Sell Signals: Visual markers on the chart indicate where trades are executed, ensuring clarity on entry and exit points.
Best Used For:
Swing Trading & Scalping: While optimized for the 15-minute timeframe, this strategy works across various timeframes, making it suitable for both short-term scalping and swing trading.
Crypto Trading: Tailored for Ethereum but effective for other cryptocurrencies due to its dynamic indicator setup.
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI)
Overview
The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading.
MATI 4-hourly support/resistance
MATI 1-hourly support/resistance
MATI 15 minutes support/resistance
MATI 1 minutes support/resistance
Key Features
1. Diverse Moving Averages
- COVWMA (Coefficient of Variation Weighted Moving Average) :
- Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping .
- DEMA (Double Exponential Moving Average) :
- Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions .
- EMA (Exponential Moving Average) :
- Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum.
- KAMA (Kaufman's Adaptive Moving Average) :
- Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies.
- SMA (Simple Moving Average) :
- Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods.
- VIDYA (Variable Index Dynamic Average) :
- Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends.
2. Combined Moving Average
- The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes .
3. Dynamic Color Coding
- Each moving average is visually represented with color coding:
- Green indicates bullish conditions, while Red suggests bearish trends.
- This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making.
4. Signal Generation and Alerts
- The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping.
- Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades.
Insights and Applications
1. Scalping on 1-Minute Charts
- The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations.
2. Day Trading on 4-Hour Charts
- For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings.
3. Swing Trading on Daily Charts
- The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility.
Benefits
1. Clarity and Insight
- The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes.
2. Flexibility and Customization
- With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles.
3. Real-Time Alerts and Efficiency
- Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style.
Conclusion
The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
ADX with Donchian Channels
The "ADX with Donchian Channels" indicator combines the Average Directional Index (ADX) with Donchian Channels to provide traders with a powerful tool for identifying trends and potential breakouts.
Features:
Average Directional Index (ADX):
The ADX is used to quantify the strength of a trend. It helps traders determine whether a market is trending or ranging.
Adjustable parameters for ADX smoothing and DI length allow traders to fine-tune the sensitivity of the trend strength measurement.
Donchian Channels on ADX:
Donchian Channels are applied directly to the ADX values to highlight the highest high and lowest low of the ADX over a specified period.
The upper and lower Donchian Channels can signal potential trend breakouts when the ADX value moves outside these bounds.
The middle Donchian Channel provides a reference for the average trend strength.
Visualization:
The indicator plots the ADX line in red to clearly display the trend strength.
The upper and lower Donchian Channels are plotted in blue, with a green middle line to represent the average.
The area between the upper and lower Donchian Channels is filled with a blue shade to visually emphasize the range of ADX values.
Default Settings for Scalping:
Donchian Channel Length: 10
Standard Deviation Multiplier: 1.58
ADX Length: 2
ADX Smoothing Length: 2
These default settings are optimized for scalping, offering a quick response to changes in trend strength and potential breakout signals. However, traders can adjust these settings to suit different trading styles and market conditions.
How to Use:
Trend Strength Identification: Use the ADX line to identify the strength of the current trend. Higher ADX values indicate stronger trends.
Breakout Signals: Monitor the ADX value in relation to the Donchian Channels. A breakout above the upper channel or below the lower channel can signal a potential trend continuation or reversal.
Range Identification: The filled area between the Donchian Channels provides a visual representation of the ADX range, helping traders identify when the market is ranging or trending.
This indicator is designed to enhance your trading strategy by combining trend strength measurement with breakout signals, making it a versatile tool for various market conditions.
Smart Market Matrix Smart Market Matrix
This indicator is designed for intraday, scalping, providing automated detection of price pivots, liquidity traps, and breakout confirmations, along with a context dashboard featuring volatility, trend, and volume.
## Summary Description
### Menu Settings & Their Roles
- **Swing Pivot Strength**: Controls the sensitivity for detecting High/Low pivots.
- **Show Pivot Points**: Toggles the display of HH/LL markers on the chart.
- **VWMA Length for Trap Volume** & **Volume Spike Multiplier**: Identify concentrated volume spikes for liquidity traps.
- **Wick Ratio Threshold** & **Max Body Size Ratio**: Detect candles with disproportionate wicks and small bodies (doji-ish) for traps.
- **ATR Length for Trap**: Measures volatility specific to trap detection.
- **VWMA Length for Breakout Volume**, **ATR Multiplier for Breakout**, **ATR Length for Breakout**, **Min Body/Range Ratio**: Set adaptive breakout thresholds based on volatility and volume.
- **OBV Smooth Length**: Smooths OBV momentum for breakout confirmation.
- **Enable VWAP Filter for Confirmations**: Optionally validate breakouts against the VWAP.
- **Enable Higher-TF Trend Filter** & **Trend Filter Timeframe**: Align breakout signals with the 1h/4h/Daily trend.
- **ADX Length**, **EMA Fast/Slow Length for Context**: Parameters for the context dashboard (Volatility, Trend, Volume).
- **Show Intraday VWAP Line**, **VWAP Line Color/Width**: Display the intraday VWAP line with custom style.
### Signal Interpretation Map
| Signal | Description | Recommended Action |
|--------------------------------|-----------------------------------------------------------|-------------------------------------------|
| 📌 **HH / LL (pivot)** | Market structure (support/resistance) | Note key levels |
| **Bull Trap(green diamond)** | Sweep down + volume spike + wick + rejection | Go long with trend filter
| **Bear Trap(red diamond)** | Sweep up + volume spike + wick + rejection | Go short with trend filter
| 🔵⬆️ **Breakout Confirmed Up** | Close > ATR‑scaled high + volume + OBV↑ | Go long with trend filter |
| 🔵⬇️ **Breakout Confirmed Down** | Close < ATR‑scaled low + volume + OBV↓ | Go short with trend filter |
| 📊 **VWAP Line** | Intraday reference to guide price | Use as dynamic support/resistance |
| ⚡ **Volatility** | ATR ratio High/Med/Low | Adjust position size |
| 📈 **Trend Context** | ADX+EMA Strong/Moderate/Weak | Confirm trend direction |
| 🔍 **Volume Context** | Breakout / Rising / Falling / Calm | Check volume momentum |
*This summary gives you a quick overview of the key settings and how to interpret signals for efficient intraday scalping.*
### Suggested Settings
- **Intraday Scalping (5m–15m)**
- `Swing Pivot Strength = 5`
- `VWMA Length for Trap Volume = 10`, `Volume Spike Multiplier = 1.6`
- `ATR Length for Trap = 7`
- `VWMA Length for Breakout Volume = 12`, `ATR Length for Breakout = 9`, `ATR Multiplier for Breakout = 0.5`
- `Min Body/Range Ratio for Breakout = 0.5`, `OBV Smooth Length = 7`
- `Enable Higher-TF Trend Filter = true` (TF = 60)
- `Show Intraday VWAP Line = true` (Color = orange, Width = 2)
- **Swing Trading (4h–Daily)**
- `Swing Pivot Strength = 10`
- `VWMA Length for Trap Volume = 20`, `Volume Spike Multiplier = 2.0`
- `ATR Length for Trap = 14`
- `VWMA Length for Breakout Volume = 30`, `ATR Length for Breakout = 14`, `ATR Multiplier for Breakout = 0.8`
- `Min Body/Range Ratio for Breakout = 0.7`, `OBV Smooth Length = 14`
- `Enable Higher-TF Trend Filter = true` (TF = D)
- `Show Intraday VWAP Line = false`
*Adjust these values based on the symbol and market volatility for optimal performance.*
[Sniper] SSL Hybrid + QQE MOD + Waddah Attar StrategyHi. I’m DuDu95.
**********************************************************************************
This is the script for the series called "Sniper".
*** What is "Sniper" Series? ***
"Sniper" series is the project that I’m going to start.
In "Sniper" Series, I’m going to "snipe and shoot" the youtuber’s strategy: to find out whether the youtuber’s video about strategy is "true or false".
Specifically, I’m going to do the things below.
1. Implement "Youtuber’s strategy" into pinescript code.
2. Then I will "backtest" and prove whether "the strategy really works" in the specific ticker (e.g. BTCUSDT) for the specific timeframe (e.g. 5m).
3. Based on the backtest result, I will rate and judge whether the youtube video is "true" or "false", and then rate the validity, reliability, robustness, of the strategy. (like a lie detector)
*** What is the purpose of this series? ***
1. To notify whether the strategy really works for the people who watched the youtube video.
2. To find and build my own scalping / day trading strategy that really works.
**********************************************************************************
*** Strategy Description ***
This strategy is from "SSL QQE MOD 5MIN SCALPING STRATEGY" by youtuber "Daily Investments".
"Daily Investments" claimed that this strategy will make you some money from 100 trades in any ticker in 5 minute timeframe.
### Entry Logic
1. Long Entry Logic
- close > SSL Hybrid Baseline.
- QQE MOD should turn into blue color.
- Waddah Attar Explosion indicator must be green.
2. Short Entry Logic
- close < SSL Hybrid Baseline
- QQE MOD should turn into red color.
- Waddah Attar Explosion indicator must be red.
### Exit Logic
1. Long Exit Logic
- When QQE MOD turn into red color.
2. Short Entry Logic
- When QQE MOD turn into blue color.
### StopLoss
1. Can Choose Stop Loss Type: Percent, ATR, Previous Low / High.
2. Can Chosse inputs of each Stop Loss Type.
### Take Profit
1. Can set Risk Reward Ratio for Take Profit.
- To simplify backtest, I erased all other options except RR Ratio.
- You can add Take Profit Logic by adding options in the code.
2. Can set Take Profit Quantity.
### Risk Manangement
1. Can choose whether to use Risk Manangement Logic.
- This controls the Quantity of the Entry.
- e.g. If you want to take 3% risk per trade and stop loss price is 6% below the long entry price,
then 50% of your equity will be used for trade.
2. Can choose How much risk you would take per trade.
### Plot
1. Added Labels to check the data of entry / exit positions.
2. Changed and Added color different from the original one. (green: #02732A, red: #D92332, yellow: #F2E313)
3. SSL Hybrid Baseline is by default drawn on the chart.
4. If you check EMA filter, EMA would be drawn on the chart.
5. Should add QQE MOD and Waddah Attar Explosion indicator manually if you want to see QQE MOD.
**********************************************************************************
*** Rating: True or False?
### Rating:
→ 1.5 / 5 (0 = Trash, 1 = Bad, 2 = Not Good, 3 = Good, 4 = Great, 5 = Excellent)
### True or False?
→ False
→ Doesn't Work on 5 minute timeframe. Also, it doesn't work on crypto.
### Better Option?
→ Use this for Day trading or Swing Trading, not for Scalping. (Bigger Timeframe)
→ Although the result was bad at 5 minute timeframe, it was profitable in 1h, 2h, 4h, 8h, 1d timeframe.
→ BTC, ETH was ok.
→ The result was better when I use EMA filter (only on longer timeframe).
### Robust?
→ So So. Although result was bad in short timeframe (e.g. 30m 15m 5m), backtest result was "consistently" profitable on longer timeframe.
→ Also, MDD was not that bad under risk management option on.
**********************************************************************************
*** Conclusion?
→ Don't use this on short timeframe.
→ Better use on longer timeframe with filter, stoploss and risk management.
Bollinger Bands Scalper + VWAPGet more consistent scalps by trading in-between Bollinger Band Deviations.
FEATURES:
1) 3 Bollinger Bands with default settings to 1, 2, and 3 deviations for more consistent scalps
2) Trendicator: a dynamic color changing moving average that helps you see trend quickly
3) Robust VWAP tool with up to 3 different deviations as well as different anchor points to help you see strong support and resistances
4) Calming "purple cloud" color palette helps you focus on price action
5) Discover new trading strategies with a wide range of customizability
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics -
Version: PineScript™ v6
📌 Description
The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making.
This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner.
🚀 Points of Innovation
Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator.
Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes.
Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength.
Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent.
Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics.
Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line.
🔧 Core Components
Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes.
Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move.
Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure.
Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic).
Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength.
🔥 Key Features
Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity.
Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum.
Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action.
Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions.
Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions.
Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states.
🎨 Visualization
Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction.
Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish).
Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability.
Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’).
📖 Usage Guidelines
Setting Categories
Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance.
Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal.
Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect.
Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier.
Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart.
Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header.
Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard.
✅ Best Use Cases
Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend.
Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements.
Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions.
Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity.
Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses.
Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets.
⚠️ Limitations
Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals.
Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line.
Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions.
Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance.
💡 What Makes This Unique
Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand.
Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions.
Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions.
🔬 How It Works
Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement.
Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance.
Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA.
Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent.
Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude.
Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring.
💡 Note:
The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
[blackcat] L3 Dynamic CrossOVERVIEW
The L3 Dynamic Cross indicator is a powerful tool designed to assist traders in identifying potential buy and sell opportunities through the use of dynamic moving averages. This versatile script offers a wide range of customizable options, allowing users to tailor the moving averages to their specific needs and preferences. By providing clear visual cues and generating precise crossover signals, it helps traders make informed decisions about market trends and potential entry/exit points 📈💹.
FEATURES
Multiple Moving Average Types:
Simple Moving Average (SMA): Provides a straightforward average of prices over a specified period.
Exponential Moving Average (EMA): Gives more weight to recent prices, making it responsive to new information.
Weighted Moving Average (WMA): Assigns weights to all prices within the look-back period, giving more importance to recent prices.
Volume Weighted Moving Average (VWMA): Incorporates volume data to provide a more accurate representation of price movements.
Smoothed Moving Average (SMMA): Averages out fluctuations to create a smoother trend line.
Double Exponential Moving Average (DEMA): Reduces lag by applying two layers of exponential smoothing.
Triple Exponential Moving Average (TEMA): Further reduces lag with three layers of exponential smoothing.
Hull Moving Average (HullMA): Combines weighted moving averages to minimize lag and noise.
Super Smoother Moving Average (SSMA): Uses a sophisticated algorithm to smooth out price data while preserving trend direction.
Zero-Lag Exponential Moving Average (ZEMA): Eliminates lag entirely by adjusting the calculation method.
Triangular Moving Average (TMA): Applies a double smoothing process to reduce volatility and enhance trend identification.
Customizable Parameters:
Length: Adjust the period for both fast and slow moving averages to match your trading style.
Source: Select different price sources such as close, open, high, or low for more nuanced analysis.
Visual Representation:
Fast MA: Displayed as a green line representing shorter-term trends.
Slow MA: Shown as a red line indicating longer-term trends.
Crossover Signals:
Generate buy ('BUY') and sell ('SELL') labels based on crossover events between the fast and slow moving averages 🏷️.
Clear visual cues help traders quickly identify potential entry and exit points.
Alert Functionality:
Receive real-time notifications when crossover conditions are met, ensuring timely action 🔔.
Customizable alert messages for personalized trading strategies.
Advanced Trade Management:
Support for pyramiding levels allows traders to manage multiple positions effectively.
Fine-tune your risk management by setting the number of allowed trades per signal.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and go to the indicators list.
Search for L3 Dynamic Cross and add it to your chart.
Configuring Settings:
Choose your desired Moving Average Type from the dropdown menu.
Adjust the Fast MA Length and Slow MA Length according to your trading timeframe.
Select appropriate Price Sources for both fast and slow moving averages.
Monitoring Signals:
Observe the plotted lines on the chart to track short-term and long-term trends.
Look for buy and sell labels that indicate potential trade opportunities.
Setting Up Alerts:
Enable alerts based on crossover conditions to receive instant notifications.
Customize alert messages to suit your trading plan.
Managing Positions:
Utilize the pyramiding feature to handle multiple entries and exits efficiently.
Keep track of your position sizes relative to the defined pyramiding levels.
Combining with Other Tools:
Integrate this indicator with other technical analysis tools for confirmation.
Use additional filters like volume, RSI, or MACD to enhance decision-making accuracy.
LIMITATIONS
Market Conditions: The effectiveness of the indicator may vary in highly volatile or sideways markets. Be cautious during periods of low liquidity or sudden price spikes 🌪️.
Parameter Sensitivity: Different moving average types and lengths can produce varying results. Experiment with settings to find what works best for your asset class and timeframe.
False Signals: Like any technical indicator, false signals can occur. Always confirm signals with other forms of analysis before executing trades.
NOTES
Historical Data: Ensure you have enough historical data loaded into your chart for accurate moving average calculations.
Backtesting: Thoroughly backtest the indicator on various assets and timeframes using demo accounts before deploying it in live trading environments 🔍.
Customization: Feel free to adjust colors, line widths, and label styles to better fit your chart aesthetics and personal preferences.
EXAMPLE STRATEGIES
Trend Following: Use the indicator to ride trends by entering positions when the fast MA crosses above/below the slow MA and exiting when the opposite occurs.
Mean Reversion: Identify overbought/oversold conditions by combining the indicator with oscillators like RSI or Stochastic. Enter counter-trend positions when the moving averages diverge significantly from the mean.
Scalping: Apply tight moving average settings to capture small, quick profits in intraday trading. Combine with volume indicators to filter out weak signals.
Triple EMA + Volume/Price SignalsOverview
This script merges three exponential moving averages (EMA) with adaptive volume thresholds to identify high-confidence trends. Unlike basic volume indicators, it triggers signals only when volume exceeds both a user-defined absolute value (e.g., 500k) and a percentage increase (e.g., 5%) – reducing noise in volatile markets.
Key Features
Triple EMA System:
Short (9), Medium (21), and Long (50) EMAs for trend direction.
Bullish Signal: Short EMA > Medium EMA > Long EMA.
Bearish Signal: Short EMA < Medium EMA < Long EMA.
Dual-Threshold Volume Confirmation:
Absolute Volume: Highlight bars where volume exceeds X (e.g., 500,000).
Percentage Increase: Highlight bars where volume rises by Y% (e.g., 5%) vs. prior bar.
Users can enable/disable either threshold.
Customizable Alerts:
Trigger alerts only when both EMA alignment and volume conditions are met.
How It Works
Trend + Volume Synergy:
A bullish EMA crossover alone might be a false breakout. This script requires additional volume confirmation (e.g., 500k volume + 5% spike) to validate the move.
Flexibility: Adjust thresholds for different assets:
Stocks: Higher absolute volume (e.g., 1M shares).
Crypto: Smaller absolute volume but larger % spikes (e.g., 10%).
Usage Examples
Swing Trading:
Set EMA lengths to 20/50/200 and volume thresholds to 500k + 5% on daily charts.
Scalping:
Use 5/13/21 EMAs with 100k volume + 3% spikes on 5-minute charts.
MLB Momentum IndicatorMLB Momentum Indicator is a no‐lookahead technical indicator designed to signal intraday trend shifts and potential reversal points. It combines several well‐known technical components—Moving Averages, MACD, RSI, and optional ADX & Volume filters—to deliver high‐probability buy/sell signals on your chart.
Below is an overview of how it works and what each part does:
1. Moving Average Trend Filter
The script uses two moving averages (fast and slow) to determine the primary trend:
isUpTrend if Fast MA > Slow MA
isDownTrend if Fast MA < Slow MA
You can select the MA method—SMA, EMA, or WMA—and customize lengths.
Why it matters: The indicator only gives bullish signals if the trend is up, and bearish signals if the trend is down, helping avoid trades that go against the bigger flow.
2. MACD Confirmation (Momentum)
Uses MACD (with user‐defined Fast, Slow, and Signal lengths) to check momentum:
macdBuySignal if the MACD line crosses above its signal line (bullish)
macdSellSignal if the MACD line crosses below its signal line (bearish)
Why it matters: MACD crossovers confirm an emerging momentum shift, aligning signals with actual price acceleration rather than random fluctuation.
3. RSI Overbought/Oversold Filter
RSI (Relative Strength Index) is calculated with a chosen length, plus Overbought & Oversold thresholds:
For long signals: the RSI must be below the Overbought threshold (e.g. 70).
For short signals: the RSI must be above the Oversold threshold (e.g. 30).
Why it matters: Prevents buying when price is already overbought or shorting when price is too oversold, filtering out possible poor‐risk trades.
4. Optional ADX Filter (Trend Strength)
If enabled, ADX must exceed a chosen threshold (e.g., 20) for a signal to be valid:
This ensures you’re only taking trades in markets that have sufficient directional momentum.
Why it matters: It weeds out choppy, sideways conditions where signals are unreliable.
5. Optional Volume Filter (High‐Participation Moves)
If enabled, the indicator checks whether current volume is above a certain multiple of its moving average (e.g., 1.5× average volume).
Why it matters: High volume often indicates stronger institutional interest, validating potential breakouts or reversals.
6. ATR & Chandelier (Visual Reference)
For reference only, the script can display ATR‐based stop levels or a Chandelier Exit line:
ATR (Average True Range) helps gauge volatility and can inform stop‐loss distances.
Chandelier Exit is a trailing stop technique that adjusts automatically as price moves.
Why it matters: Though this version of the script doesn’t execute trades, these lines help you see how far to place stops or how to ride a trend.
7. Final Bullish / Bearish Signal
When all conditions (trend, MACD, RSI, optional ADX, optional Volume) line up for a long, a green “Long” arrow appears.
When all conditions line up for a short, a red “Short” arrow appears.
Why it matters: You get a clear, on‐chart signal for each potential entry, rather than needing to check multiple indicators manually.
8. Session & Date Filtering
The script allows choosing a start/end date and an optional session window (e.g. 09:30–16:00).
Why it matters: Helps limit signals to a specific historical backtest range or trading hours, which can be crucial for day traders (e.g., stock market hours only).
Putting It All Together
Primary Trend → ensures you trade in line with the bigger direction.
MACD & RSI → confirm momentum and avoid overbought/oversold extremes.
ADX & Volume → optional filters for strong trend strength & genuine interest.
Arrows → each potential buy (Long) or sell (Short) signal is clearly shown on your chart.
Use Cases
5‐Minute Scalping: Shorter RSI/MACD lengths to catch small, frequent intraday moves.
Swing Trading: Larger MAs, bigger RSI thresholds, and using ADX to filter only major trends.
Cautious Approach: Enable volume & ADX filters to reduce false signals in choppy markets.
Benefits & Limitations
Benefits:
Consolidates multiple indicators into one overlay.
Clear buy/sell signals with optional dynamic volatility references.
Flexible user inputs adapt to different trading styles/timeframes.
Limitations:
Like all technical indicators, it can produce false signals in sideways or news‐driven markets.
Success depends heavily on user settings and the particular market’s behavior.
Summary
The MLB Momentum Indicator combines a trend filter (MAs), momentum check (MACD), overbought/oversold gating (RSI), and optional ADX/Volume filters to create clear buy/sell arrows on your chart. This approach encourages trading in sync with both trend and momentum, and helps avoid suboptimal entries when volume or trend strength is lacking. It can be tailored to scalp micro‐moves on lower timeframes or used for higher‐timeframe swing trading by adjusting the input settings.
High and Low with Horizontal TableHigh and Low with Horizontal Table Indicator
Overview
The "High and Low with Horizontal Table" indicator is designed for traders who wish to monitor key levels based on specific candle times, along with dynamic risk-to-reward ratios and ATR-based values. This indicator features real-time calculations, visual cues, and a table for quick reference of the calculated values.
Key Features
Custom Time Inputs:
Users can define two specific time inputs to select the candles for the High and Low prices. These times can target the same or separate candles.
ATR-based Calculation:
The indicator allows users to apply an ATR Multiplier to adjust the calculation of key levels. By default, the ATR multiplier is set to 1.2, but users can adjust it to their preferred value (e.g., 1.5 or 2).
Risk-to-Reward (R:R) Calculation:
The Risk-to-Reward Ratio (R:R) is used to calculate potential Take Profit (TP) levels based on the high and low of the selected candle(s).
The default R:R ratio is 2.0, but it can be customized to suit the trader’s strategy.
Visual Markings:
The High and Low values are plotted with subtle markers on the chart (cross style) for easy identification. The display of these markers is subdued for minimal visual distraction.
Horizontal Table Display:
A horizontal table is generated in the top-right corner of the chart, providing a quick reference for the following values:
High and Low of the selected candle(s)
High + ATR Multiplier and Low - ATR Multiplier
R:R ratio
Buy TP and Sell TP levels
Each value is displayed with a reasonable number of decimal places (4 decimals) for major forex pairs, XAUUSD, and BTCUSD.
Input Parameters
Hour and Minute for High Candle: Select the time for the candle that will determine the High.
Hour and Minute for Low Candle: Select the time for the candle that will determine the Low.
ATR Multiplier: A customizable input for adjusting the ATR-based calculations (default is 1.2).
Risk-to-Reward (R:R): Set the ratio to determine the TP levels (default is 2.0).
How It Works
The user defines two distinct time inputs (one for the High and one for the Low).
At the specified times, the indicator captures the High and Low prices of the candles.
The ATR is calculated and adjusted by the user-defined ATR Multiplier to determine buffers above the High and below the Low.
The Risk-to-Reward ratio is applied to calculate the Take Profit levels.
All of these values are displayed on the chart and updated in real time. The horizontal table ensures quick reference to all the key levels without cluttering the main chart.
Use Cases
Trend Trading: Identify potential support and resistance levels based on specific timeframes and adjust TP targets using ATR.
Scalping: Use the ATR and R:R calculations to target precise entry and exit points.
Market Opens: Track key market opens (such as New York and London) with candle times that reflect your trading strategy.
Conclusion
The High and Low with Horizontal Table indicator is a powerful tool for traders looking to combine precise candle-based level tracking with ATR-based risk management. By displaying key levels and TP targets in a clear, tabular format, traders can quickly assess and act on key price levels throughout their trading sessions.
Vortex Sniper Elite @DaviddTechVortex Sniper Elite @DaviddTech
Vortex Sniper Elite @DaviddTech is a comprehensive trading system designed to deliver high-probability trade setups across all market conditions. By seamlessly integrating adaptive baseline detection, squeeze momentum analysis, and advanced vortex filtering, this indicator provides traders with a complete edge-based approach to market analysis.
🔥 Key Features:
Complete Model Integration:
Baseline: Advanced McGinley Dynamic indicator for superior trend detection
Confirmation #1: Enhanced TTM Squeeze for momentum and volatility analysis
Confirmation #2: Dual Tether Line system for dynamic market structure mapping
Volatility Filter: Specialized Vortex indicator for precision entry timing
Adaptive Stop Loss: Proprietary trailing stop system based on ATR calculations
Advanced Visual Dashboard:
Real-time component analysis with strength metrics
Color-coded signal status for immediate trade assessment
Squeeze state monitoring with visual confirmation
Vortex divergence strength percentage for optimal entries
Premium Signal Detection:
Multi-timeframe compatible system for scaling strategies
Automated buy/sell signals at optimal entry points
Clear exit signals for risk management
Squeeze momentum visualization for timing precision
DaviddTech Alpha Edge System:
Gradient transparency algorithm for visual trend strength confirmation
Bar coloring system based on momentum direction
Background highlighting for active signal states
Dashboard for ease of understanding
💰 Trading Applications:
Sniper Entries: Utilize the Vortex confirmation to pinpoint precise entry points
Trend Alignment: McGinley baseline establishes the primary market direction
Volatility Awareness: TTM Squeeze identifies optimal market conditions
Risk Management: Set stops based on the adaptive trailing stop system
Position Management: Monitor dashboard metrics for changing market conditions
Vortex Sniper Elite @DaviddTech represents the culmination of the DaviddTech methodology in one cohesive system. Whether you're a day trader seeking precise entries or a swing trader looking for significant market moves, this indicator delivers the structured approach needed to consistently extract profits from any market condition.
DaviddTech Trading System Explained:
The DaviddTech methodology follows a strict component-based approach:
The Baseline establishes the primary trend direction, acting as your first filter
Confirmation Indicators validate potential trade setups only when aligned with the baseline
The Volatility/Volume Indicator ensures you only enter trades with sufficient directional momentum
A Trailing Stop System provides mathematically optimized exit points
Vortex Sniper Elite integrates all these components into a visually intuitive system that eliminates guesswork and enforces disciplined trading decisions.
Recommended Settings:
This indicator comes pre-configured with optimized parameters, but feel free to adjust based on your timeframe:
For day trading: Reduce Baseline and TTM lengths by 30-40%
For swing trading: Consider increasing Tether and Trail Stop lengths by 25-50%
For scalping: Focus on Vortex confirmation with shorter timeframes
Best Practices:
Wait for all components to align before entering trades
Use the dashboard to evaluate the strength of each signal
Monitor squeeze states for potential volatility expansion
Let the trailing stop system handle your exits
Backtest across multiple timeframes to find your optimal settings
Volume Delta with Custom Colors and Min Delta Input### Indicator Description: **Volume Delta with Custom Colors and Min Delta Input**
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Volume Delta with Custom Colors and Min Delta Input is a powerful and flexible indicator for analyzing volume delta (the difference between buying and selling volume) on TradingView charts. This indicator visualizes volume delta with customizable colors and allows filtering based on a minimum delta value. It is an ideal tool for traders who want to gain deeper insights into market activity and identify significant volume changes.
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### Key Features:
Volume Delta Visualization:
- The indicator displays volume delta as candlesticks, where:
- Green candles indicate positive delta (buying volume dominance).
- Red candles indicate negative delta (selling volume dominance).
Customizable Colors:
- Users can choose their preferred colors for positive and negative delta to tailor the indicator to their preferences.
Minimum Delta Volume Filter:
- Added functionality to set a minimum delta volume threshold. This helps ignore insignificant volume changes and focus on important movements.
Flexible Timeframe Selection:
- The indicator supports analyzing volume delta on a different timeframe than the current chart. For example, you can analyze hourly volume delta on a daily chart.
Adaptive Settings:
- Users can configure the moving average (SMA) period and standard deviation multiplier to calculate the delta threshold.
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### How to Use the Indicator:
Add the Indicator to Your Chart:
- Search for the indicator in the TradingView library and add it to your chart.
Configure the Settings:
- Positive Delta Bar Color: Choose the color for bars with positive delta.
- Negative Delta Bar Color: Choose the color for bars with negative delta.
- Minimum Delta Volume: Set the minimum delta volume value to be displayed.
- Use Custom Timeframe: Enable if you want to analyze volume on a different timeframe.
- Timeframe: Specify the desired timeframe for volume analysis (e.g., "1H" for hourly).
- SMA Period: Set the moving average period for delta calculation.
- Delta Multiplier: Adjust the standard deviation multiplier to fine-tune the delta threshold.
Analyze the Chart:
- Green candles indicate buying volume dominance, while red candles indicate selling volume dominance.
- Use the minimum delta volume filter to focus on significant movements.
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### Benefits of the Indicator:
Flexibility: Customizable colors, timeframe selection, and filtering make the indicator versatile for various trading strategies.
Clarity: Volume delta visualization as candlesticks allows for quick assessment of market activity.
Noise Reduction: The minimum delta volume filter helps ignore insignificant changes and focus on important movements.
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### Example Use Cases:
For Scalping: Use a minute timeframe and set a minimum delta volume filter to identify short-term volume anomalies.
For Long-Term Trading: Analyze volume delta on daily or weekly timeframes to identify key support and resistance levels.
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### Recommendations:
Use the indicator in combination with other technical analysis tools (e.g., support/resistance levels or trendlines) to improve signal accuracy.
Experiment with the settings to adapt the indicator to your trading strategies.
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Volume Delta with Custom Colors and Min Delta Input is an essential tool for traders who want to gain a deeper understanding of market dynamics and make more informed trading decisions. Try it out today and see its effectiveness for yourself!
Multi-Timeframe Stochastic OverviewPurpose of the Multi-Timeframe Stochastic Indicator:
The Multi-Timeframe Stochastic Indicator provides a consolidated view of market conditions across multiple timeframes (M1, M5, M15, H1) based on the Stochastic Oscillator, a popular technical analysis tool. The main objective is to allow traders to quickly assess momentum and potential trend reversals across different timeframes on a single chart, helping to make informed trading decisions.
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General Purpose of Stochastic Oscillator:
The Stochastic Oscillator measures the relationship between a security's closing price and its price range over a given period, aiming to identify momentum, overbought/oversold levels, and potential reversal points. It works on the assumption that:
1. In uptrends, prices tend to close near their highs.
2. In downtrends, prices tend to close near their lows.
It consists of two lines:
%K (fast line): Represents the raw Stochastic value.
%D (slow line): A moving average of %K, used to smooth the data for better signals.
The indicator is generally used to:
Identify Overbought (price above 80% threshold) and Oversold (price below 20% threshold) conditions.
Spot Bullish and Bearish divergences for potential trend reversals.
Evaluate momentum strength within a trend.
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How This Multi-Timeframe Indicator Enhances Stochastic's Utility:
1. Multi-Timeframe Overview:
The indicator calculates Stochastic values for multiple timeframes (1-minute, 5-minute, 15-minute, and 1-hour) and displays their market conditions (e.g., Bullish, Bearish, Overbought, Oversold, or Indecision) in an organized table format.
This gives traders a broad perspective on short-term, mid-term, and long-term trends simultaneously.
2. Market Condition Summary:
Bullish: Indicates upward momentum (both %K and %D > 50%).
Bearish: Indicates downward momentum (both %K and %D < 50%).
Overbought: Suggests potential trend exhaustion (both %K and %D > 80%).
Oversold: Suggests a potential reversal to the upside (both %K and %D < 20%).
Indecision: Highlights uncertainty when %K and %D are on opposite sides of the 50% level.
3. Quick Decision-Making:
The color-coded table (green for Bullish/Overbought, red for Bearish/Oversold, orange for Indecision) allows traders to quickly identify dominant conditions and momentum alignment across timeframes, helping in trade confirmation.
4. Trend Analysis:
By observing alignment or divergence in market conditions across timeframes, traders can gauge the strength of a trend or anticipate reversals. For example:
If all timeframes show "Bullish," it suggests strong momentum.
If smaller timeframes are "Overbought" while larger ones are "Bearish," it warns of a possible pullback.
5. Customizable Parameters:
The indicator allows customization of Stochastic K, D, smoothing values, and overbought/oversold levels, enabling users to tailor the analysis to specific trading styles or market conditions.
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Use Cases:
1. Scalping:
A scalper can use lower timeframes (e.g., M1, M5) to find overbought/oversold zones for quick trades.
2. Swing Trading:
Swing traders can align smaller timeframes with higher ones (e.g., M15 and H1) to confirm momentum before entering a trade.
3. Trend Reversals:
Overbought or oversold conditions across all timeframes may indicate a major reversal point, helping traders plan exits or countertrend entries.
4. Trend Continuation:
Consistent bullish or bearish conditions across all timeframes confirm the continuation of a trend, providing confidence to hold positions.
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Summary:
This indicator enhances the traditional Stochastic Oscillator by giving a multi-timeframe snapshot of market momentum, overbought/oversold conditions, and trend direction. It enables traders to quickly assess the overall market state, spot opportunities, and make more informed trading decisions.
