Enhanced Scalping Strategy with Stop Loss📌 Overview
The Enhanced Scalping Strategy with Stop Loss is a trend-following and momentum-based trading system designed for scalpers and short-term traders. It leverages Exponential Moving Averages (EMAs), Relative Strength Index (RSI), and Average True Range (ATR) to identify potential trading opportunities while implementing a stop-loss mechanism to minimize risk.
This script is designed to be used in various timeframes, with optimizations for 1-minute and 5-minute charts. The strategy focuses on momentum breakouts, ensuring that trades are taken in strong trending conditions while filtering out false signals using volatility-based confirmation.
🔍 How It Works
This strategy uses three main indicators to generate trade signals:
1️⃣ Moving Averages (Fast & Slow EMAs)
Fast EMA (default: 9-period)
Slow EMA (default: 21-period)
A bullish crossover (Fast EMA crossing above Slow EMA) signals a potential long trade.
A bearish crossover (Fast EMA crossing below Slow EMA) signals a potential short trade.
2️⃣ Relative Strength Index (RSI)
The RSI is used as an overbought/oversold filter.
Default settings:
Overbought Level: 70 → Avoid long trades when RSI is too high.
Oversold Level: 30 → Avoid short trades when RSI is too low.
3️⃣ Average True Range (ATR) Multiplier
ATR is used to filter out low-volatility conditions.
The script ensures that price exceeds a threshold based on ATR before confirming a trade, reducing false breakouts.
4️⃣ Stop Loss Mechanism
Stop loss is dynamically calculated based on a percentage of the entry price (default: 1%).
Long Trade Stop Loss: Set 1% below entry price.
Short Trade Stop Loss: Set 1% above entry price.
The strategy will automatically exit trades if the stop loss is hit.
🎯 Entry & Exit Conditions
🔵 Long Entry (Buy Signal)
Fast EMA crosses above Slow EMA (Bullish crossover).
RSI is below overbought (70) → Avoid buying into extreme conditions.
Price is above Fast EMA + ATR Multiplier → Ensures a strong trend.
Stops any active short trade before entering long.
🔴 Short Entry (Sell Signal)
Fast EMA crosses below Slow EMA (Bearish crossover).
RSI is above oversold (30) → Avoid shorting into extreme weakness.
Price is below Fast EMA - ATR Multiplier → Ensures a strong trend.
Stops any active long trade before entering short.
🔄 Exit Conditions
Long Trade Exit:
Fast EMA crosses below Slow EMA (Bearish crossover).
OR Stop loss is hit (price drops 1% below entry).
Short Trade Exit:
Fast EMA crosses above Slow EMA (Bullish crossover).
OR Stop loss is hit (price rises 1% above entry).
🛠 How to Use
1️⃣ Adding the Strategy
Open TradingView.
Navigate to the Pine Script Editor.
Copy and paste the script.
Click Add to Chart.
2️⃣ Customizing Settings
Adjust the Moving Average lengths to suit different timeframes.
Modify the RSI overbought/oversold levels for better filtering.
Change the ATR Multiplier to fine-tune the volatility filter.
Customize the Stop Loss Percentage to match your risk tolerance.
3️⃣ Best Timeframes for Scalping
1-Minute (M1): Fast scalping, more signals.
5-Minute (M5): Reduced noise, better trend identification.
15-Minute (M15) and higher: Can be used for intraday trading.
4️⃣ Alerts & Notifications
Set up alerts to receive buy/sell signals.
Alerts include:
Long Entry Alert (Buy Signal)
Short Entry Alert (Sell Signal)
Exit Long Alert (Close Buy Position)
Exit Short Alert (Close Sell Position)
📊 Visuals on the Chart
✅ Buy Signals: Displayed as green upward arrows.
✅ Sell Signals: Displayed as red downward arrows.
✅ EMA Lines:
Fast EMA (blue)
Slow EMA (orange)
✅ RSI Background Coloring:
Red background when RSI is overbought.
Green background when RSI is oversold.
🔎 Pros & Cons
✅ Pros
✔️ Works on multiple timeframes with automatic adjustments.
✔️ Uses ATR to confirm trends, reducing false signals.
✔️ Built-in stop loss for better risk management.
✔️ Alerts & visual signals for easy trade execution.
✔️ Can be customized for different trading styles.
❌ Cons
❌ May perform poorly in ranging markets.
❌ Stop-loss percentage may need optimization for different assets.
❌ Higher timeframes might require different parameters for best performance.
Trend Analysis
EMA Trend Dashboard//@version=6
indicator("Line Extension Example", overlay=true)
// Kullanıcı girişi
extendLeftInput = input.bool(false, title="Extend Left", group="Line Settings")
extendRightInput = input.bool(true, title="Extend Right", group="Line Settings")
// extendStyle için durum belirleyicisi
extendStyle = switch
extendLeftInput and extendRightInput => extend.both
extendLeftInput => extend.left
extendRightInput => extend.right
=> extend.none
// Slope hesaplaması ve çizgiyi oluşturma
startPrice = 1000
endPrice = 1050
lengthInput = 20
baseLine := line.new(bar_index - lengthInput + 1, startPrice, bar_index, endPrice, width=1, extend=extendStyle, color=color.new(color.blue, 0))
Bitcoin Future Trade IndicatorThe Best Bitcoin Future Indicator is the most reliable long-term trend predictor for Bitcoin. It filters out short-term noise and focuses on macro trends using advanced market data, historical patterns, and on-chain analysis.
Dynamic MA Divergence System (DMDS) **Indicator Name:** Dynamic MA Divergence System (DMDS)
**Description:**
The Dynamic MA Divergence System (DMDS) is a multi-functional technical analysis tool designed to identify trend strength, momentum shifts, and potential reversal signals. By combining moving average differentials with adaptive volatility thresholds, this indicator provides a clear visual representation of market dynamics across any timeframe.
**Key Features:**
1. **Dual MA Differential**
- Tracks the difference between two customizable moving averages (SMA/EMA)
- Visualized as a colored oscillator for quick trend bias identification
2. **Smart Divergence Detection**
- Automatically marks price-indicator divergences with intuitive arrows
- Filters minor fluctuations via adjustable amplitude thresholds
**Usage Suggestions:**
- **Trend Confirmation**: Use the oscillator’s position relative to the zero line
- **Reversal Signals**: Watch for divergence patterns with price action
- **Volatility Scaling**: Adjust channel multiplier for ranging/trending markets
**Parameters:**
- MA Periods (6/60default)
- Volatility Period (20 bars)
- Divergence Detection Length (50 bars)
**Community Guidelines Compliance:**
- No repainting
- No future-looking calculations
- Fully customizable inputs
- Clear risk disclaimer in code comments
*Note: This tool is designed for educational/research purposes. Always combine with other analysis methods and proper risk management.*
---
This description adheres to TradingView’s standards by:
1. Avoiding profit guarantees
2. Using neutral, non-promotional language
3. Clearly explaining functionality
4. Including proper categorization (Oscillator type)
5. Providing transparent parameter explanations
Trade Assistant price for TP SL kbowie
## Overview
Trade Assistant is a powerful TradingView Pine Script designed to streamline trading decision-making by providing comprehensive trade management and risk analysis tools. This script helps traders make informed decisions through advanced position sizing, risk management, and visual trade insights.
## Key Features
### 🎯 Flexible Risk Management
- Multiple risk calculation methods:
- Percent of Account Balance
- Fixed Dollar Amount
- Percent of Equity
- Customizable risk percentage (0.1% - 100%)
- Supports variable account balance inputs
### 📊 Comprehensive Trade Entry Options
- Order type selection:
- Market Entry
- Limit Entry
- Stop Entry
- Automatic live price tracking for entry point
### 🛡️ Advanced Stop Loss & Take Profit
- Multiple configuration methods:
- Pips-based calculation
- Percentage-based calculation
- Absolute price setting
- Flexible stop loss and take profit strategies
### 📈 Position Sizing Calculator
- Dynamically calculates optimal position size
- Ensures consistent risk management across trades
- Adapts to different account sizes and risk tolerances
### 🖥️ Interactive Dashboard
- Real-time trade information display
- Shows critical trade parameters:
- Entry Type
- Calculated Position Size
- Risk Amount
- Stop Loss Details
- Take Profit Details
### 🔍 Visual Trade Assistance
- Dashed price lines for:
- Entry Price
- Stop Loss
- Take Profit
- On-chart debugging labels for detailed trade analysis
## How to Use
1. Set your account balance
2. Choose risk calculation method
3. Define risk percentage
4. Select entry type
5. Configure stop loss and take profit
6. Let the script handle position sizing and visualization
## Best Practices
- Always validate calculations with your broker's specifications
- Adjust risk parameters to match your trading strategy
- Use in conjunction with comprehensive trading plan
- Regularly review and optimize risk settings
## Disclaimer
- This is a tool for educational purposes
- Not financial advice
- Always perform your own due diligence
- Trading involves significant financial risk
## Version
NS Trade Assistant Lite - Initial Release
Twitter Model ICT [TradingFinder] MMXM ERL D + FVG + M15 MSS/SMT🔵 Introduction
The Twitter Model ICT is a trading approach based on ICT (Inner Circle Trader) models, focusing on price movement between external and internal liquidity in lower timeframes. This model integrates key concepts such as Market Structure Shift (MSS), Smart Money Technique (SMT) divergence, and CISD level break to identify precise entry points in the market.
The primary goal of this model is to determine key liquidity levels, such as the previous day’s high and low (PDH/PDL) and align them with the Fair Value Gap (FVG) in the 1-hour timeframe. The overall strategy involves framing trades around the 1H FVG and using the M15 Market Structure Shift (MSS) for entry confirmation.
The Twitter Model ICT is designed to utilize external liquidity levels, such as PDH/PDL, as key entry zones. The model identifies FVG in the 1-hour timeframe, which acts as a magnet for price movement. Additionally, traders confirm entries using M15 Market Structure Shift (MSS) and SMT divergence.
Bullish Twitter Model :
In a bullish setup, the price sweeps the previous day’s low (PDL), and after confirming reversal signals, buys are executed in internal liquidity zones. Conversely, in a bearish setup, the price sweeps the previous day’s high (PDH), and after confirming weakness signals, sells are executed.
Bearish Twitter Model :
In short setups, entries are only executed above the Midnight Open, while in long setups, entries are taken below the Midnight Open. Adhering to these principles allows traders to define precise entry and exit points and analyze price movement with greater accuracy based on liquidity and market structure.
🔵 How to Use
The Twitter Model ICT is a liquidity-based trading strategy that analyzes price movements relative to the previous day’s high and low (PDH/PDL) and Fair Value Gap (FVG). This model is applicable in both bullish and bearish directions and utilizes the 1-hour (1H) and 15-minute (M15) timeframes for entry confirmation.
The price first sweeps an external liquidity level (PDH or PDL) and then provides an entry opportunity based on Market Structure Shift (MSS) and SMT divergence. Additionally, the entry should be positioned relative to the Midnight Open, meaning long entries should occur below the Midnight Open and short entries above it.
🟣 Bullish Twitter Model
In a bullish setup, the price first sweeps the previous day’s low (PDL) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bullish Fair Value Gap (FVG) forms, which serves as the price target.
To confirm the entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should be observed, signaling a trend reversal to the upside. Additionally, SMT divergence with correlated assets can indicate weakness in selling pressure.
Under these conditions, a long position is taken below the Midnight Open, with a stop-loss placed at the lowest point of the recent bearish move. The price target for this trade is the FVG in the 1-hour timeframe.
🟣 Bearish Twitter Model
In a bearish setup, the price first sweeps the previous day’s high (PDH) and reaches an external liquidity level. Then, in the 1-hour timeframe (1H), a bearish Fair Value Gap (FVG) is identified, serving as the trade target.
To confirm entry, a Market Structure Shift (MSS) in the 15-minute timeframe (M15) should form, signaling a trend shift to the downside. If an SMT divergence is present, it can provide additional confirmation for the trade.
Once these conditions are met, a short position is taken above the Midnight Open, with a stop-loss placed at the highest level of the recent bullish move. The trade's price target is the FVG in the 1-hour timeframe.
🔵 Settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
Daily Position : Determines whether only the first signal of the day is considered or if signals are evaluated throughout the entire day.
Session : Specifies in which trading sessions the indicator will be active.
Second Symbol : This setting allows you to select another asset for comparison with the primary asset. By default, "XAUUSD" (Gold) is set as the second symbol, but you can change it to any currency pair, stock, or cryptocurrency. For example, you can choose currency pairs like EUR/USD or GBP/USD to identify divergences between these two assets.
Divergence Fractal Periods : This parameter defines the number of past candles to consider when identifying divergences. The default value is 2, but you can change it to suit your preferences. This setting allows you to detect divergences more accurately by selecting a greater number of candles.
The indicator allows displaying sessions based on various time zones. The user can select one of the following options :
UTC (Coordinated Universal Time)
Local Time of the Session
User’s Local Time
Show Open Price : Displays the New York market opening price.
Show PDH / PDL : Displays the previous day’s high and low to identify potential entry points.
Show SMT Divergence : Displays lines and labels for bullish ("+SMT") and bearish ("-SMT") divergences.
🔵 Conclusion
The Twitter Model ICT is an effective approach for analyzing and executing trades in financial markets, utilizing a combination of liquidity principles, market structure, and SMT confirmations to identify optimal entry and exit points.
By analyzing the previous day’s high and low (PDH/PDL), Fair Value Gaps (FVG), and Market Structure Shift (MSS) in the 1H and M15 timeframes, traders can pinpoint liquidity-driven trade opportunities. Additionally, considering the Midnight Open level helps traders avoid random entries and ensures better trade placement.
By applying this model, traders can interpret market movements based on liquidity flow and structural changes, allowing them to fine-tune their trading decisions with higher precision. Ultimately, the Twitter Model ICT provides a structured and logical approach for traders who seek to trade based on liquidity behavior and trend shifts in the market.
[GrandAlgo] MTF Historical Highs and LowsMany traders rely on weekly highs and lows to identify key market levels, but what if you could see how price reacted to these levels in past weeks, months, or even years? With MTF Historical Highs and Lows, you can visualize all past highs, lows, and midpoints from any timeframe, allowing you to refine your strategy and make more informed trading decisions.
This indicator retrieves and plots historical highs, lows, and midpoints based on a user-selected timeframe (default: Weekly). It dynamically updates, ensuring that all significant price levels remain visible on your chart. Additionally, smart filtering helps you focus only on relevant levels, and alerts notify you when price interacts with key zones.
Key Features:
✅ Automatically Fetches & Plots Historical Highs, Lows, and Midpoints
✅ Customizable Timeframes (default: Weekly, but adjustable)
✅ Visibility Filtering – Hides lines that are too far from the current price
✅ Alerts for Key Levels – Get notified when price touches an important historical level
✅ Customizable Colors & Display Preferences for clarity
How It Works:
1️⃣ Select a Date Range – Focus on historical levels that are most relevant to the current market conditions
2️⃣ Choose a Timeframe – Use Weekly, Monthly, or any timeframe that suits your strategy.
3️⃣ Enable Highs, Lows, and Midpoints – Customize what you want to see.
4️⃣ Adjust Filtering – Hide lines that are too far from the current price to reduce clutter.
5️⃣ Get Alerts – Be notified when price reaches a historical level for potential trade setups.
Ideal for Traders Who:
Trade Support & Resistance Levels – Understand how price reacts at historical highs and lows.
Analyze Market Structure – Identify key areas where price may reverse or break out.
Want Smart Alerts – Stay informed without staring at charts all day.
Trend Indicator with ArrowsClosing above previous high or closing below previous low is trend for me. Just see all time frames for same trend to get high probability setups. Look for uptrend after a stop hunt in LTF
EMA 20-50-200 & Hammer Pattern Detector/*
**English**
### Indicator Description
**Indicator Name:**
EMA 20, 50, 200 & Hammer Pattern with Signal Detection
## Features:
// 1. EMA Trend Phase Analysis
// - The indicator uses EMAs (20, 50, and 200) to determine market trends.
// - Green: "3Phases" (Bullish trend), Red: "6Phases" (Bearish trend), Gray: "Neutral".
// - EMAs are displayed in Blue (20), Orange (50), and Red (200).
// - Labels above the last candle show the respective EMA values.
// 2. Hammer Candlestick Pattern Detection
// - Identifies Hammer candlestick patterns as potential reversal signals.
// - Criteria: Upper shadow not larger than the body, lower shadow at least twice the body size.
// - Marked with a green triangle below the candle.
// 3. Signal for Three Candles Below a Local High
// - Detects when three consecutive candles close below a previous high.
// - Marked with a red diamond above the third confirming candle.
// 4. Visual Indicators (Boxes in the Top Right)
// - Displays two information boxes:
// - First Box: Trend phases (Green: "3Phases", Red: "6Phases", Gray: "Neutral").
// - Second Box (Blue): Appears when the weakness signal is active ("Signal Active").
// - Text color is always white for better readability.
## Usage:
// - Easily identify market trends using EMAs.
// - Detect potential reversal points through Hammer candlesticks.
// - Analyze weakness signals after a market high.
// - Clear visualization for quick decision-making.
**German**
### Beschreibung des Indikators
**Indikatorname:**
EMA 20, 50, 200 & Hammer Pattern mit Signal-Erkennung
## Funktionen:
// 1. EMA-Trendphasenanalyse
// - Der Indikator nutzt die EMAs (20, 50 und 200), um Markttrends zu erkennen.
// - Grün: "3Phasen" (Bullischer Trend), Rot: "6Phasen" (Bärischer Trend), Grau: "Neutral".
// - EMAs werden in Blau (20), Orange (50) und Rot (200) dargestellt.
// - Labels über der letzten Kerze zeigen die EMA-Werte an.
// 2. Hammer-Kerzenmuster-Erkennung
// - Identifiziert Hammer-Kerzenmuster als potenzielle Umkehrsignale.
// - Kriterien: Oberer Schatten nicht größer als der Körper, unterer Schatten mindestens doppelt so groß wie der Körper.
// - Markierung mit grünem Dreieck unter der Kerze.
// 3. Signal für drei Kerzen unter einem lokalen Hoch
// - Erkennt, wenn nach einem Hoch drei aufeinanderfolgende Kerzen unterhalb dieses Hochs schließen.
// - Markierung mit einem roten Diamanten über der dritten Kerze.
// 4. Visuelle Anzeigen (Kästen oben rechts)
// - Zeigt zwei Informationskästen an:
// - Erster Kasten: Trendphasen (Grün: "3Phasen", Rot: "6Phasen", Grau: "Neutral").
// - Zweiter Kasten (Blau): Erscheint, wenn das Schwäche-Signal aktiv ist ("Signal Active").
// - Schriftfarbe immer weiß für bessere Sichtbarkeit.
## Anwendungsmöglichkeiten:
// - Markttrends einfach identifizieren durch EMAs.
// - Potenzielle Umkehrpunkte erkennen durch Hammer-Kerzen.
// - Schwäche-Signale nach einem Hoch analysieren.
// - Klare Visualisierung für schnelles Trading.
*/
Dynamic Deviation Levels [BigBeluga]Dynamic Deviation Levels is an innovative indicator designed to analyze price deviations relative to a smoothed midline. It provides traders with visual cues for overbought/oversold zones, price momentum, levels through labeled deviations and gradient candle coloring.
🔵Key Features:
Smoothed Midline:
A central line calculated as a smoothed median of the price source, serving as the baseline for price deviation analysis.
Dynamic Deviation Levels:
- Three deviation levels are plotted above and below the midline, with labels (1, 2, 3, -1, -2, -3) marking significant price movements.
- Helps traders identify overbought and oversold market conditions.
Heat-Colored Candles:
- Candle colors shift in intensity based on the deviation level, with four gradient shades for both upward and downward movements.
- Quickly highlights market extremes or stable zones.
Interactive Color Scale:
- A gradient scale at the bottom right of the chart visually represents deviation values.
- A triangle marker indicates the current price deviation in real time.
Optional Deviation Levels Display:
- Traders can enable all dynamic levels on the chart to visualize support and resistance areas dynamically.
🔵Usage and Benefits:
Identify Overbought/Oversold Zones: Use labeled deviation levels and heat-colored candles to spot stretched market conditions.
Track Trend Reversals and Momentum: Monitor price interactions with deviation levels for potential trend continuation or reversal signals.
Real-Time Deviation Insights: Leverage the color scale and triangle marker for live deviation tracking and actionable insights.
Map Dynamic Support and Resistance: Enable dynamic levels to highlight key areas where price reactions are likely to occur.
Dynamic Deviation Levels is an indispensable tool for traders aiming to combine price dynamics, momentum analysis, and visual clarity in their trading strategies.
Swing Profile Analyzer [ChartPrime]Swing Profile Analyzer
The Swing Profile Analyzer is a comprehensive tool designed to provide traders with valuable insights into swing frequency profiles, enabling them to identify key price levels and areas of market interest.
⯁ KEY FEATURES
Swing Frequency Profiles
Automatically plots frequency profiles for each swing, highlighting price distribution and key levels of significance.
Point of Control (POC) Line
Marks the price level with the highest number of closes within a swing, acting as a key area for potential price reactions.
Customizable Trend Display
Allows users to toggle between displaying profiles for bullish swings, bearish swings, or both, offering tailored analysis.
Integrated ZigZag Lines
Visualizes swing highs and lows, providing a clear picture of market trends and reversals.
Dynamic Profile Visualization
Profiles are color-coded to indicate the frequency of closes, with the highest value bins distinctly marked for easy recognition.
Max Frequency Highlight
Displays numerical values for the most active price level within each profile, showing how many closes occurred at the peak bin.
Updates only after swing formed
Profiles and POC lines automatically appear after swing is done
⯁ HOW TO USE
Identify Critical Price Levels
Use the POC line and frequency distribution to locate levels where price is likely to react or consolidate.
Analyze Swing Characteristics
Observe swing profiles to understand the strength, duration, and behavior of market trends.
Plan Entries and Exits
Leverage significant price levels and high-frequency bins to make more informed trading decisions.
Focus on Specific Trends
Filter profiles to analyze bullish or bearish swings based on your trading strategy.
⯁ CONCLUSION
The Swing Profile Analyzer is an essential tool for traders seeking to understand price dynamics within market swings. By combining frequency profiles, POC levels, and trend visualization, it enhances your ability to interpret and act on market movements effectively.
Seasonality Forecast: Predicting Market Trends with HistoricaThis Pine Script indicator analyzes **seasonal price patterns** based on historical data. It calculates **average price movements** over a user-defined lookback period (default: 5 years) and projects them into the future (default: 365 days). The script accounts for **election cycles**, allowing users to filter by election years, pre-election years, or post-election years. It tracks **trading days, weeks, and months**, smoothing the seasonal trend and adjusting for price scale.
Moving Average Hamming-RKMoving Average Hamming
Description:
A Moving Average using a Hamming window is a technique used in technical analysis to smooth price data. The Hamming window applies weighted smoothing, reducing sharp variations and edge effects in the data. This helps in identifying trends more effectively while minimizing noise.
It can be used in combination with other technical indicators for better market analysis.
Technical Use:
The Hamming Moving Average reduces high-frequency noise, making trends clearer.
It applies different weights to data points, giving more importance to the center of the window while reducing the impact of abrupt changes.
This method is particularly useful in trend-following strategies as it minimizes false breakouts.
It can also be integrated into algorithmic trading systems for improved price fluctuation filtering.
When to Take a Position:
Buy Signal: When the price crosses above the Hamming Moving Average, indicating a potential uptrend.
Sell Signal: When the price crosses below the Hamming Moving Average, signaling a possible downtrend.
Confirmation: Combine with other indicators like RSI or MACD to confirm the trend before entering a trade.
Avoid Choppy Markets: The indicator works best in trending markets; avoid using it in sideways or ranging conditions.
This approach helps traders refine their analysis, making informed decisions while reducing market noise.
R3v GoldKey Uses of Moving Averages:
Trend Identification: Moving averages help determine the overall market direction. If the price is above the moving average, it suggests an uptrend, while if it’s below, it suggests a downtrend.
Support and Resistance Levels: Prices often respect the moving average as dynamic support or resistance levels. For example, during an uptrend, the price may frequently bounce off the moving average.
Crossovers: A common trading strategy involves two moving averages with different periods, such as a fast EMA (like the 9-period) crossing above a slow SMA (like the 50-period). This crossover can signal a potential buy (bullish crossover) or sell (bearish crossover).
Market Trend Scanner [Afnan]This Market Strength Scanner indicator is designed to provide traders with a clear and concise overview of market trends using a single table. It helps you quickly determine which sectors and indices are strong, weak, or choppy, allowing you to make informed trading decisions with ease.
How This Indicator Helps You:
✅ Identify Strong Sectors & Indices
🔹By analyzing this table, you can instantly see which sectors and indices are performing well.
🔹Focus on stocks within strong sectors to find high-probability buying opportunities.
✅ Avoid Weak or Choppy Markets
🔹The indicator highlights bearish or consolidating sectors, helping you avoid poor trading conditions.
🔹Stay away from sectors that are weak or moving sideways to reduce unnecessary risks.
✅ Understand Market Sentiment in Seconds
🔹If most sectors are bullish, the market is in an uptrend—giving you confidence to take long positions.
🔹If the majority are bearish, the market is weak, signaling caution.
🔹A mix of bullish and bearish sectors indicates a choppy market, warning you to avoid trading or adjust your strategy.
✅ Powered by 4 Customizable EMAs
🔹The indicator uses 4 Exponential Moving Averages (EMAs) to determine trends for each sector and index.
🔹These EMAs are fully modifiable, allowing you to adjust them based on your preferred strategy.
✅ Covers 25 Major Indices (Fully Customizable)
🔹By default, the indicator tracks 25 key indices, giving you a broad market perspective.
🔹You can customize the list to focus on the indices that matter most to you.
Why Use This Indicator?
🔹 Saves Time – No need to analyze multiple charts manually. The table gives you everything at a glance.
🔹 Improves Trade Selection – Focus only on strong sectors for better trade accuracy.
🔹 Works in All Market Conditions – Whether the market is trending or consolidating, this tool keeps you informed.
🔹 Fully Customizable – Adjust the EMAs and indices according to your trading preferences.
With just this one powerful indicator, you get a complete market overview, helping you align your trades with the current trend effortlessly! 🚀
Top 20 Crypto Opening Range Dashboard"Top 20 Crypto Opening Range Dashboard"
Combine this indicator with
Opening Range with Breakouts & Targets
Overview:
The "Top 20 Crypto Opening Range Dashboard" is a powerful tool designed to simplify and enhance your crypto trading experience. Inspired by Lux Algo's style, this indicator dynamically monitors the opening range (first 30 minutes) for the top 20 cryptocurrencies on Binance, providing actionable insights into proximity to breakout or reversal levels.
This user-friendly dashboard allows traders to efficiently track multiple assets, identify key opportunities, and make informed trading decisions without needing to switch between charts.
Key Features:
Multi-Asset Tracking:
Displays the top 20 crypto pairs from Binance (e.g., BTCUSDT, ETHUSDT).
All data is consolidated into a clean, real-time dashboard.
Opening Range High/Low Analysis:
Tracks the highest and lowest price during the first 30 minutes of the trading day.
Measures how close the current price is to the high or low.
Dynamic Percentages:
Distance to High (%):
Indicates how close the price is to breaking the opening high.
Distance to Low (%):
Indicates how close the price is to bouncing off the opening low.
Color-Coded Signals:
Green: Near the high (potential breakout).
Red: Near the low (potential bounce).
White: Neutral (price is within the range).
Quantum Liquidity FractalThe indicator is designed to identify hidden market affects:
Volume anomaly detection (opportunities in dark pools)
Recognition of algorithmic clusters (mass orders of HFT robots)
Filtering false breakouts through entropy analysis
Sync with high frequency trading activity
Chart Box Session Indicator [ScrimpleAI]This indicator allows highlighting specific time sessions within a chart by creating colored boxes to represent the price range of the selected session. Is an advanced and flexible tool for graphically segmenting trading sessions. Thanks to its extensive customization options and advanced visualization features, it allows traders to gain a clear representation of key market areas based on chosen time intervals.
The indicator offers two range calculation modes:
- Body to Body : considers the range between the opening and closing price.
- Wick to Wick : considers the range between the session's low and high.
Key Features
1. Session Configuration
- Users can select the time range of the session of interest.
- Option to choose the day of the week for the calculation.
- Supports UTC timezone selection to correctly align data.
2. Customizable Visualization
- Option to display session price lines.
- Ability to show a central price line.
- Extension of session lines beyond the specified duration.
3. Graphical Display Configuration
- Three different background configurations to suit light and dark themes.
- Two gradient modes for session coloring:
- Centered : the color is evenly distributed.
- Off-Centered : the gradient is asymmetrical.
How It Works
The indicator determines whether the current time falls within the selected session, creating a colored box that highlights the corresponding price range.
Depending on user preferences, the indicator draws horizontal lines at the minimum and maximum price levels and, optionally, a central line.
During the session:
- The lowest and highest session prices are dynamically updated.
- The range is divided into 10 bands to create a gradient effect.
- A colored box is generated to visually highlight the chosen session.
If the Extend Lines option is enabled, price lines continue even after the session ends, keeping the range visible for further analysis.
Usage
This indicator is useful for traders who want to analyze price behavior in specific timeframes. It is particularly beneficial for strategies based on market sessions (e.g., London or New York open) or for identifying accumulation and distribution zones.
5SMA Trend filter w/optional 10,20,50,200 moving averagesTrend filter indicator to determine ideal price action for long or short trades.
Cloud attached between price and 5SMA.
Using the 5SMA direction and relativity to price, two signals to help filter out head fakes.
If price > 5SMA and SMA pointing up then green cloud.
If price < 5SMA and SMA point down then red cloud.
If price > 5SMA and SMA pointing down or price < 5SMA and 5SMA pointing up then
Optional 10,20,50,200 simple moving averages.
Compatible with multiple timeframes.
RSI (Pr)The "RSI (Pr)" indicator enhances the traditional Relative Strength Index (RSI) by incorporating dynamic bands and highlighting extreme market conditions directly on the price chart. This approach offers traders a more intuitive visualization of potential overbought and oversold zones, facilitating timely decision-making.
Key Features:
Dynamic RSI Bands: The indicator calculates upper and lower bands based on user-defined overbought and oversold levels. These bands adjust in real-time, providing a responsive measure of market extremes.
Visual Alerts: Background colors change when the price moves outside the RSI bands, offering immediate visual cues of potential market reversals.
Buy/Sell Signals: The script places "BUY" and "SELL" labels on the chart when the price crosses above or below the RSI bands, assisting traders in identifying potential entry and exit points.
How It Works:
RSI Calculation: The script computes the RSI based on the closing price and a user-defined length (default is 14 periods).
Exponential Moving Averages (EMA): It calculates the EMA of the maximum gains and losses to smooth out the data, enhancing the reliability of the RSI bands.
Upper and Lower Bands: Using the smoothed data, the script determines the upper (resistance) and lower (support) bands, which represent dynamic overbought and oversold levels.
Visual Indicators: The script plots the upper and lower bands, as well as a midline, directly on the price chart. Background colors change when the price exceeds these bands, and "BUY" or "SELL" labels appear at crossover points.
Usage:
Overbought Conditions: When the price crosses above the upper band, it may indicate an overbought condition, suggesting a potential selling opportunity.
Oversold Conditions: When the price crosses below the lower band, it may indicate an oversold condition, suggesting a potential buying opportunity.
Customization:
Users can adjust the following parameters to suit their trading preferences:
RSI Overbought Level: Default is 70.
RSI Oversold Level: Default is 30.
RSI Length: Default is 14 periods.
Disclaimer:
This indicator is designed for educational purposes and should not be construed as financial advice. Trading involves significant risk, and it's essential to conduct thorough research and consider your financial situation before making trading decisions. Past performance is not indicative of future results.
By integrating dynamic RSI bands and clear visual signals directly onto the price chart, this indicator aims to provide traders with actionable insights into market conditions, enhancing the traditional RSI analysis.
BBMA ZoneZeroLoss (ZZL) Oma AllyOma Ally is a Malaysian trader who developed the BBMA strategy, a method that combines Bollinger Bands and moving averages to identify potential market movements.
This strategy has gained popularity in Malaysia, Indonesia and Brunei and is used by many traders in the forex community.
The BBMA strategy includes several setups, including the "Reentry" setup, which aims to re-enter the market after a price correction in the direction of the main trend.
This setup is used by traders to determine precise entry and exit points.
The "Zero Loss Zone" is a concept within the BBMA strategy that aims to identify trading areas, e.g. for "re-entry" setups, where risk is minimised.
By applying specific criteria, such as the presence of strong trend candles and the positioning of certain moving averages, traders try to take positions with minimal risk of loss.
WAGMI LAB Trend Reversal Indicator HMA-Kahlman (m15)WAGMI HMA-Kahlman Trend Reversal Indicator
This indicator combines the Hull Moving Average (HMA) with the Kahlman filter to provide a dynamic trend reversal signal, perfect for volatile assets like Bitcoin. The strategy works particularly well on lower timeframes, making it ideal for intraday trading and fast-moving markets.
Key Features:
Trend Detection: It uses a blend of HMA and Kahlman filters to detect trend reversals, providing more accurate and timely signals.
Volatility Adaptability: Designed with volatile assets like Bitcoin in mind, this indicator adapts to rapid price movements, offering smoother trend detection during high volatility.
Easy Visualization: Buy (B) and Sell (S) signals are clearly marked with labels, helping traders spot trend shifts quickly and accurately.
Trendlines Module: The indicator plots trendlines based on pivot points, highlighting important support and resistance levels. This helps traders understand the market structure and identify potential breakout or breakdown zones.
Customizable: Adjust the HMA and Kahlman parameters to fit different assets or trading styles, making it flexible for various market conditions.
Usage Tips:
Best Timeframes: The indicator performs exceptionally well on lower timeframes (such as 15-minute to 1-hour charts), making it ideal for scalping and short-term trading strategies.
Ideal for Volatile Assets: This strategy is perfect for highly volatile assets like Bitcoin, but can also be applied to other cryptocurrencies and traditional markets with high price fluctuations.
Signal Confirmation: Use the trend signals (green for uptrend, red for downtrend) along with the buy/sell labels to help you confirm potential entries and exits. It's also recommended to combine the signals with other technical tools like volume analysis or RSI for enhanced confirmation.
Trendline Analysis: The plotted trendlines provide additional visual context to identify key market zones, supporting your trading decisions with a clear view of ongoing trends and possible reversal areas.
Risk Management: As with any strategy, always consider proper risk management techniques, such as stop-loss and take-profit levels, to protect against unforeseen market moves.
Wagmi Lab- Bitcoin H4 Buy Sell Signals This indicator, designed primarily for Bitcoin on the H4 timeframe, is a versatile tool that can also be applied to other assets and timeframes by adjusting its parameters. It combines Exponential Moving Averages (EMAs), MACD (Moving Average Convergence Divergence), and a crossover filtering mechanism to generate reliable buy and sell signals. The indicator is ideal for traders looking to identify trend direction and potential entry/exit points with added precision.
Key Features:
Customizable EMAs and MACD:
Fast EMA (default: 12): Tracks short-term price momentum.
Slow EMA (default: 26): Tracks long-term price momentum.
Signal SMA (default: 9): Smooths the MACD line to generate the signal line.
MACD Crossover Signals:
The indicator calculates the MACD line and signal line to identify potential buy and sell opportunities.
Buy signals are generated when the MACD line crosses above the signal line, indicating bullish momentum.
Sell signals are generated when the MACD line crosses below the signal line, indicating bearish momentum.
Crossover Strength Filter:
A minimum crossover distance percentage (default: 0.1%) ensures that only significant crossovers are considered, reducing false signals.
This filter helps traders avoid weak or insignificant crossovers that may not lead to strong price movements.
Trend Visualization:
The indicator highlights the trend direction by filling the area between the fast and slow EMAs with colors:
Green: Uptrend (MACD > Signal Line).
Red: Downtrend (MACD < Signal Line).
Buy/Sell Signal Markers:
Buy signals are marked with green circles below the price bars.
Sell signals are marked with red circles above the price bars.
These markers provide clear visual cues for potential entry and exit points.
Adaptable to Other Timeframes and Assets:
While optimized for the H4 timeframe, the indicator can be adjusted for other timeframes (e.g., M15, H1, D1) by modifying the EMA and SMA settings.
It can also be applied to other assets, such as stocks, forex, or commodities, by tweaking the parameters to suit the asset's volatility and characteristics.
How to Use:
Identify Trends:
Use the colored areas (green for uptrend, red for downtrend) to determine the overall market direction.
Wait for Confirmation:
Look for buy or sell signals (green or red circles) that align with the trend direction.
Ensure the crossover meets the minimum distance requirement to filter out weak signals.
Enter and Exit Trades:
Enter a long position when a buy signal appears during an uptrend.
Enter a short position or exit a long position when a sell signal appears during a downtrend.
Adjust Settings for Other Timeframes/Assets:
Experiment with the EMA and SMA periods to optimize the indicator for different timeframes or assets.
Why Use This Indicator?
Precision: The crossover strength filter reduces noise and false signals.
Versatility: Works across multiple timeframes and assets with customizable settings.
Visual Clarity: Clear trend visualization and signal markers make it easy to interpret.
This indicator is a powerful tool for traders seeking to capitalize on Bitcoin's volatility or other assets' price movements, providing a structured approach to identifying trends and potential trading opportunities.
