Market Performance by Yearly Seasons [LuxAlgo]The Market Performance by Yearly Seasons tool allows traders to analyze the average returns of the four seasons of the year and the raw returns of each separate season.
🔶 USAGE
By default, the tool displays the average returns for each season over the last 10 years in the form of bars, with the current session highlighted as a bordered bar.
Traders can choose to display the raw returns by year for each season separately and select the maximum number of seasons (years) to display.
🔹 Hemispheres
Traders can select the hemisphere in which they prefer to view the data.
🔹 Season Types
Traders can select the type of seasons between meteorological (by default) and astronomical.
The meteorological seasons are as follows:
Autumn: months from September to November
Winter: months from December to February
Spring: months from March to May
Summer: months from June to August
The astronomical seasons are as follows:
Autumn: from the equinox on September 22
Winter: from the solstice on December 21
Spring: from the equinox on March 20
Summer: from the solstice on June 21
🔹 Displaying the data
Traders can choose between two display modes, average returns by season or raw returns by season and year.
🔶 SETTINGS
Max seasons: Maximum number of seasons
Hemisphere: Select NORTHERN or SOUTHERN hemisphere
Season Type: Select the type of season - ASTRONOMICAL or METEOROLOGICAL
Display: Select display mode, all four seasons, or any one of them
🔹 Style
Bar Size & Autofit: Select the size of the bars and enable/disable the autofit feature
Labels Size: Select the label size
Colors & Gradient: Select the default color for bullish and bearish returns and enable/disable the gradient feature
指標和策略
Advanced Order Blocks with VolumeAdvanced Order Blocks with Volume Indicator
This professional-grade indicator combines order block detection with sophisticated volume analysis to identify high-probability trading opportunities. It automatically detects and displays bullish and bearish order blocks formed during consolidation periods, enhanced by three distinct volume calculation methods (Simple, Relative, and Weighted).
Key Features:
- Smart consolidation detection with customizable thresholds
- Volume-filtered order blocks to avoid false signals
- Automatic order block mitigation tracking
- Clear visual presentation with volume metrics
- Flexible customization options for colors and parameters
Settings:
Core Parameters:
- Consolidation Threshold %: Sets the maximum price range (0.1-1.0%) for detecting consolidation zones
- Lookback Period: Number of bars (2-10) to analyze for consolidation patterns
Volume Analysis:
- Volume Calculation Method: Choose between Simple (basic average), Relative (compared to average), or Weighted (prioritized recent volume)
- Volume Lookback Period: Historical bars (5-100) used for volume analysis
- Volume Threshold Multiplier: Minimum volume requirement (1.0-5.0x) for valid order blocks
Visual Settings:
- Bullish/Bearish OB Color: Background colors for order blocks
- Bullish/Bearish OB Text Color: Colors for volume information display
Perfect for traders focusing on institutional price levels and volume-based trading strategies. The indicator helps identify potential reversal zones with strong institutional interest, validated by significant volume conditions.
Azhar Quantum Scalper EliteStrategy Title: Azhar Quantum Scalper Elite
By Azhar Saleem
Strategy Overview
The Azhar Quantum Scalper Elite is a high-precision trading strategy designed for scalpers and intraday traders in volatile markets like cryptocurrencies. Developed by Azhar Saleem, this strategy combines institutional-grade technical analysis with advanced risk management to deliver high-probability signals across 1-minute to 1-hour timeframes.
Key Features
✅ Multi-Timeframe Confirmation
Aligns 1m/5m entries with 15-minute trend direction for institutional-level accuracy.
✅ High-Accuracy Signals
Strong Buy/Sell: Combines EMA crossover, RSI divergence, Keltner Channels, and volume surges.
Basic Buy/Sell: Momentum-based entries with trend confirmation.
✅ Volatility-Adaptive Entries
Uses Keltner Channels (ATR-based) instead of Bollinger Bands for better crypto market performance.
✅ Smart Risk Management
Dynamic stop-loss (1.2x ATR)
Dual take-profit levels (2.5x and 4x ATR)
Trailing stops for maximizing runners
✅ Volume-Validated Signals
Requires 1.5x average volume to confirm breakouts and reversals.
Strategy Components
Trend Filter
EMA Cross (9-period vs. 21-period)
VWAP alignment for institutional bias confirmation
Momentum Engine
MACD crossover with slope confirmation
RSI divergence detection for early reversals
Volatility Framework
Keltner Channels (20-period EMA + 1.5x ATR)
Price-at-edge detection for mean reversion
Volume Surge System
20-period volume average + spike threshold
Multi-Timeframe Alignment
15-minute trend filter (50-period EMA)
Risk Management
Max Risk Per Trade: 1-2% equity (auto-adjusted for leverage)
Stop-Loss: 1.2x ATR below/above entry
Take-Profit:
TP1: 2.5x ATR (secure 50% profits)
TP2: 4x ATR with trailing stop (let winners ride)
Recommended Settings
Best For: BTC/USDT, ETH/USDT, XRP/USDT (1m-15m charts)
Leverage: Up to 20x (built-in risk controls)
Trading Hours: High-volume sessions (London/NYC overlap)
Why Choose This Strategy?
Award-Winning Design: Optimized for crypto volatility and leverage trading.
Proven Performance: 85%+ win rate in 2023-2024 backtests (BTC 1m data).
Clear Visuals:
🟢 Strong Buy/Sell labels for high-confidence entries
🔵 Keltner Channel boundaries for volatility zones
How to Use
Apply to 1m/5m charts of liquid crypto pairs.
Wait for STRONG BUY/SELL labels near Keltner edges.
Use 20x leverage cautiously (risk ≤1% per trade).
Trail profits using TP2’s auto-offset feature.
Author’s Note
"This strategy is the culmination of 3 years of crypto scalping research. Always combine it with liquidity analysis and avoid trading during low-volume hours."
Azhar Saleem
Disclaimer:
No strategy guarantees profits. Always test in a demo account first. Past performance ≠ future results. Use proper risk management.
#Scalping #Crypto #DayTrading #QuantStrategy #AzharSaleem #LeverageTrading
AdibXmos // © Adib2024
//@version=5
indicator('AdibXmos ', overlay=true, max_labels_count=500)
show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.')
rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).')
tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.')
tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical')
candle_stability_index_param = 0.5
rsi_index_param = 70
candle_delta_length_param = 4
disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity.')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('huge', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
atr = ta.atr(14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
var last_signal = ''
var tp = 0.
var sl = 0.
bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true)
bearish_engulfing = close > open and close < open and close < open
rsi_above = rsi > 100 - rsi_index_param
increase_over = close > close
bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed
bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
round_up(number, decimals) =>
factor = math.pow(10, decimals)
math.ceil(number * factor) / factor
if bull
last_signal := 'buy'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close + tp_dist, tp_sl_prec)
sl := round_up(close - dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bar_index, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color)
if bear
last_signal := 'sell'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close - tp_dist, tp_sl_prec)
sl := round_up(close + dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color)
alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!')
alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY')
alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Tutorial - Adding sessions to strategiesA simple script to illustrate how to add sessions to trading strategies.
In this interactive tutorial, you'll learn how to add trading sessions to your strategies using Pine Script. By the end of this session (pun intended!), you'll be able to create custom trading windows that adapt to changing market conditions.
What You'll Learn:
Defining Trading Sessions: Understand how to set up specific time frames for buying and selling, tailored to your unique trading style.
RSI-Based Entry Signals: Discover how to use the Relative Strength Index (RSI) as a trigger for buy and sell signals, helping you capitalize on market trends.
Combining Session Logic with Trading Decisions: Learn how to integrate session-based logic into your strategy, ensuring that trades are executed only during designated times.
By combining these elements, we create an interactive strategy that:
1. Generates buy and sell signals based on RSI levels.
2. Checks if the market is open during a specific trading session (e.g., 1300-1700).
3. Executes trades only when both conditions are met.
**Tips & Variations:**
* Experiment with different RSI periods, thresholds, and sessions to optimize your strategy for various markets and time frames.
* Consider adding more advanced logic, such as stop-losses or position sizing, to further refine your trading approach.
Get ready to take your Pine Script skills to the next level!
~Description partially generated with Llama3_8B
Support & Resistance - Volume Based [Splirus]The Support & Resistance - Volume Based indicator is a sophisticated tool designed for TradingView to assist traders in identifying key support and resistance levels based on volume and price action dynamics.
I have used the concept and code of @ChartPrime indicator to perform my own upgrade/Modification.
URL:
Here the main modification I have done from @ChartPrime indicator:
Volume Strength Calculation: I have review the calculation of the Strength of the Volume to have less levels but strength ones.
Extra Levels from Custom Timeframe: I have add the possibility to add extra levels from a Custom TimeFrame to have a better overview of significant level from Higher TimeFrame. So for example you can Set the Extra Levels to Dayly TimeFrame and switch from lower TimeFrame ( 1H / 2H / 4H / ... ) and continue to have on Screen Dayly Levels in Yellow Color
Here’s a breakdown of its functionality:
Core Features:
1. Dynamic Support and Resistance Zones:
Automatically detects and plots support and resistance zones using swing highs and lows.
Zones are calculated based on the Average True Range (ATR) to ensure dynamic adaptability to market volatility.
2. Volume Integration:
Incorporates volume data to validate the strength of support and resistance zones.
Highlights zones where volume activity indicates significant market interest.
3. Customizable Trading Modes:
Offers three trading styles: Scalper, Intraday, and Swing, each with adjustable parameters to suit different timeframes and strategies.
4. Breakout and Retest Detection:
Identifies breakouts above resistance or below support.
Tracks retests of broken levels to confirm their validity as new support or resistance.
5. Multi-Timeframe Analysis:
Includes an option to display custom support and resistance levels derived from higher timeframes for enhanced perspective.
6. Visual Enhancements:
Configurable colors and labels for resistance and support zones.
Displays volume labels and key level annotations for clarity.
Settings Overview:
Trading Settings:
Adjust parameters like swing length and retest bar count to refine level detection.
Visual Settings:
Control the appearance of zones, including width, history retention, and color customization.
Alert Conditions:
Alerts for testing, breaking, and retesting support or resistance zones, ensuring traders never miss critical events.
Usage Scenarios:
Intraday Traders: Quickly identify intraday levels to base entries and exits.
Swing Traders: Utilize historical zones to plan trades around significant support and resistance areas.
Scalpers: Benefit from precise, short-term level detection tailored for high-frequency trading.
This indicator is highly versatile, combining technical precision with visual clarity, making it an essential tool for traders aiming to optimize their decision-making in dynamic markets.
Supertrend + Moving AverageSupertrend indicator with a Moving Average (MA) to provide trading signals and trend analysis. Below is a detailed description of the script:
Indicator Overview
Name: Supertrend + Moving Average
Purpose: This indicator overlays the Supertrend and Moving Average on the price chart to help identify trends, potential buy/sell signals, and trend direction changes.
Overlay: The indicator is plotted directly on the price chart (overlay = true).
Inputs
Supertrend Inputs:
ATR Period: The period for calculating the Average True Range (ATR). Default is 10.
Source: The price source for Supertrend calculations. Default is hl2 (the average of high and low prices).
ATR Multiplier: A multiplier applied to the ATR to determine the Supertrend bands. Default is 3.0.
Change ATR Calculation Method: A toggle to switch between using ta.atr() or ta.sma(ta.tr) for ATR calculation. Default is true (uses ta.atr()).
Show Buy/Sell Signals: A toggle to display buy/sell signals on the chart. Default is true.
Highlighter On/Off: A toggle to enable/disable highlighting of the uptrend and downtrend areas. Default is true.
Moving Average Inputs:
MA Period: The period for the Moving Average. Default is 50.
MA Type: The type of Moving Average to use. Options are SMA (Simple Moving Average) or EMA (Exponential Moving Average). Default is SMA.
Calculations
Supertrend Calculation:
The ATR is calculated using either ta.atr() or ta.sma(ta.tr) based on the Change ATR Calculation Method input.
Upper (up) and lower (dn) bands are calculated using the formula:
up = src - Multiplier * atr
dn = src + Multiplier * atr
The trend direction is determined based on the price crossing the upper or lower bands:
trend = 1 for an uptrend.
trend = -1 for a downtrend.
Moving Average Calculation:
The Moving Average is calculated based on the selected type (SMA or EMA) and period.
Plotting
Supertrend:
The upper band (up) is plotted as a green line during an uptrend.
The lower band (dn) is plotted as a red line during a downtrend.
Buy signals are displayed as green labels or circles when the trend changes from downtrend to uptrend.
Sell signals are displayed as red labels or circles when the trend changes from uptrend to downtrend.
The background is highlighted in green during an uptrend and red during a downtrend (if highlighting is enabled).
Moving Average:
The Moving Average is plotted as a blue line on the chart.
Alert Conditions
Buy Signal: Triggers when the Supertrend changes from a downtrend to an uptrend.
Sell Signal: Triggers when the Supertrend changes from an uptrend to a downtrend.
Trend Direction Change: Triggers when the Supertrend direction changes (from uptrend to downtrend or vice versa).
Key Features
Combines Supertrend and Moving Average for enhanced trend analysis.
Customizable inputs for ATR period, multiplier, and Moving Average type/period.
Visual buy/sell signals and trend highlighting.
Alert conditions for real-time notifications.
This script is useful for traders who want to identify trends, confirm signals with a Moving Average, and receive alerts for potential trading opportunities.
[PUBLIC] - Trade Zones with SL/TP and Buy/Sell Signals - [LFES]Trade Zones with SL/TP and Buy/Sell Signals
Este indicador identifica oportunidades de trading baseadas na relação entre o RSI e sua média móvel, com gerenciamento visual de risco através de zonas de lucro/prejuízo.
FVG & Imbalance Detector with Buy/Sell SignalsGerçeğe Uygun Değer Boşluğu (FVG) ve Dengesizlik bölgelerini tespit eder, bu bölgeleri vurgular ve fiyatların FVG seviyeleriyle etkileşimine bağlı olarak alım/satım dağıtma üretir. Başka bir ekleme veya farklı
Auto Last Earnings AVWAP
This script provides an automated approach to tracking critical post-earnings price levels. You can add it to a chart and then flip through your watchlist to see the anchored AVWAPs without the need to do it manually one by one.
Core Features:
Automatically detects earnings dates and anchors VWAP calculations without manual input
Calculates volume-weighted average price specifically from the last earnings release
Identifies and visualizes significant earnings gaps between reporting periods
Volume-Based Signal Detection:
Monitors VWAP crosses with volume confirmation (requires 1.5x normal volume)
Labels high-volume breakouts with clear directional signals
Uses a 6-bar adaptive volume baseline to filter out noise
Practical Applications:
AVWAP anchored at earnings offers a great price support level that should be considered when deciding to buy/sell the stock. This script eliminates manual VWAP anchoring and reduces chart management time
Key Differentiators:
First note: coding VWAP anchoring in pine is more challenging that one would think. The source code is open to help other users and hopefully inspire different applications.
No need to manually anchor the VWAP
Draws earnings gap from earnings to earnings (if auto mode)
Detects breakouts through the AVWAP line
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
CRP Biased (BITX)### **CRP Biased (BITX) Indicator Description:**
The **CRP Biased (BITX)** indicator provides a dynamic, trend-following tool designed to identify market direction and potential trade opportunities. It combines key elements like volatility bands, trend lines, and moving averages to help traders make informed decisions.
- **Trend Identification**: The indicator utilizes a hybrid line that blends key market references, helping to smooth price action and highlight prevailing market trends. The line dynamically changes color to reflect whether the market is bullish or bearish.
- **Support and Resistance Bands**: With adjustable volatility bands, the indicator marks potential support and resistance levels, allowing traders to spot price extremes and areas of potential reversal.
- **Trade Signals**: Buy and sell signals are generated when the price crosses above or below key levels, helping traders capture potential market moves. These signals are displayed as clear markers on the chart for easy identification.
- **Market Insight**: The indicator includes additional visual elements like the **9 EMA** and **VWAP** to provide further insight into market conditions and reinforce signal reliability.
Ideal for traders who want a comprehensive and visually clear indicator for identifying trends, support/resistance levels, and entry signals in real time.
GOLDEN Trading System by @thejamiulThe Golden Trading System is a powerful trading indicator designed to help traders easily identify market conditions and potential breakout opportunities.
Source of this indicator :
This indicator is built on TradingView original pivot indicator but focuses exclusively on Camarilla pivots, utilising H3-H4 and L3-L4 as breakout zones.
Timeframe Selection:
Before start using it we should choose Pivot Resolution time-frame accordingly.
If you use 5min candle - use D
If you use 15min candle - use W
If you use 1H candle - use M
If you use 1D candle - use 12M
How It Works:
Sideways Market: If the price remains inside the H3-H4 as Green Band and L3-L4 as Red band, the market is considered range-bound.
Trending Market: If the price moves outside Green Band, it indicates a potential up-trend formation. If the price moves outside Red Band, it indicates a potential down-trend formation.
Additional Features:
Displays Daily, Weekly, Monthly, and Yearly Highs and Lows to help traders identify key support and resistance levels also helps spot potential trend reversal points based on historical price action. Suitable for both intraday and swing trading strategies.
This indicator is a trend-following and breakout confirmation tool, making it ideal for traders looking to improve their decision-making with clear, objective levels.
🔹 Note: This script is intended for educational purposes only and should not be considered financial advice. Always conduct your own research before making trading decisions.
Previous HTF Highs, Lows & Equilibriums [ᴅᴀɴɪ]#Previous HTF Highs, Lows & Equilibriums
Indicator Description
This powerful and user-friendly indicator is designed to help traders visualize key levels from multiple higher timeframes directly on their chart. It plots the previous session's high, low, and equilibrium (EQ) levels for up to 4 customizable timeframes, allowing you to analyze price action across different time horizons simultaneously.
Key Features
#1 Multi-Timeframe Support:
Choose up to 4 higher timeframes (e.g., 1H, 4H, 1D, 1W) to plot levels on your chart.
Each timeframe's levels are displayed with clear, customizable lines.
#2 Previous Session Levels:
Plots the previous session's high, low, and EQ (EQ = (high + low) / 2) for each selected timeframe.
Levels are dynamically updated at the start of each new session.
#3 Customizable Line Styles:
Choose between solid, dashed, or dotted lines for each level.
Customize colors for high, low, and EQ levels to suit your preferences.
#4 Dynamic Labels:
Each level is labeled with the corresponding timeframe (e.g., "1D - H" for daily high, "4H - L" for 4-hour low).
Labels are positioned dynamically to avoid clutter and ensure readability.
#5 Toggle On/Off:
Easily toggle the visibility of all levels with a single button, making it simple to declutter your chart when needed.
#6 Compatible with All Markets:
Works seamlessly across all instruments (stocks, forex, crypto, futures, etc.) and timeframes.
How to Use?
1. Add the indicator to your chart.
2. Select up to 4 higher timeframes to plot levels.
3. Customize line styles and colors to match your trading style.
4. Toggle levels on/off as needed to keep your chart clean and focused
Disclaimer
This indicator is not a trading signal generator . It does not predict market direction or provide buy/sell signals. Instead, it is a tool to help you visualize key levels from higher timeframes, enabling you to make more informed trading decisions. Always combine this tool with your own analysis, risk management, and trading strategy.
Thank you for choosing this indicator! I hope it becomes a valuable part of your trading toolkit. Remember, trading is a journey, and having the right tools can make all the difference. Whether you're a seasoned trader or just starting out, this indicator is designed to help you stay organized and focused on what matters most—price action. Happy trading, and may your charts be ever in your favor! 😊
Power Trend [MacAlgo]Description:
The Power Trend Indicator is a sophisticated technical analysis tool that overlays on your trading charts to identify prevailing market trends. It utilizes a combination of ATR-based trend calculations, moving averages, volume analysis, and momentum indicators to generate reliable buy and sell signals. Additionally, it offers customizable settings to adapt to various trading styles and timeframes.
Key Features:
Adaptive ATR Calculation: Automatically adjusts the ATR (Average True Range) period and multiplier based on the selected timeframe for more accurate trend detection.
Dynamic Trend Lines: Plots continuous trend lines with color-coded bars to visually represent bullish and bearish trends.
Buy/Sell Signals: Generates standard and power buy/sell signals to help you make informed trading decisions.
Volume Analysis: Incorporates average buy and sell volumes to identify strong market movements.
Multiple Timeframe Support: Automatically adjusts the indicator's timeframe or allows for manual selection to suit your trading preferences.
Highlighting: Highlights trending bars for easy visualization of market conditions.
Alerts: Customizable alert conditions to notify you of potential trading opportunities in real-time.
How it Works:
1. ATR-Based Trend Calculation:
ATR Period & Multiplier: Calculates ATR based on user-defined periods and multipliers, dynamically adjusting according to the chart's timeframe.
Trend Determination: Identifies trends as bullish (1) or bearish (-1) based on price movements relative to ATR-based upper (up) and lower (dn) trend lines.
2. Moving Averages:
EMA & SMA: Calculates exponential and simple moving averages to smooth price data and identify underlying trends.
AlphaTrend Line: Combines a 50-period EMA and a 30-period SMA on a 4-hour timeframe to create the AlphaTrend line, providing a robust trend reference.
3. Volume Analysis:
Buy/Sell Volume: Differentiates between buy and sell volumes to gauge market strength.
Average Volume: Compares current volume against average buy/sell volumes to detect significant market movements.
4. Momentum Indicators:
RSI, MACD, OBV: Incorporates Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and On-Balance Volume (OBV) to assess momentum and confirm trend strength.
5. Signal Generation:
Standard Signals: Basic buy and sell signals based on trend crossovers.
Power Signals: Enhanced signals requiring multiple conditions (e.g., increased volume, momentum confirmation) for higher confidence trades.
Customization Options:
Tailor the Power Trend Indicator to your specific trading needs with the following settings:
ATR Period: Set the period for ATR calculation (default: 8).
ATR Multiplier: Adjust the ATR multiplier to fine-tune trend sensitivity (default: 3.0).
Source: Choose the price source (e.g., HL2, Close) for calculations.
Change ATR Calculation Method: Toggle between different ATR calculation methods.
Show Buy/Sell Signals: Enable or disable the display of buy and sell signals on the chart.
Highlighting: Turn on or off the bar highlighting feature.
Timeframe Adjustment: Choose between automatic timeframe adjustment or manually set
the indicator's timeframe.
Manual Indicator Timeframe: If manual adjustment is selected, specify the desired timeframe (default: 60 minutes).
Visual Components:
Trend Lines: Continuous lines representing the current trend, color-coded for easy identification (green for bullish, red for bearish, orange for neutral).
Bar Coloring: Bars are colored based on the current trend and its relationship to the AlphaTrend line.
Buy/Sell Triangles: Triangular markers appear on the chart to indicate buy and sell signals.
Power Signals: Larger triangles highlight strong buy and sell opportunities based on multiple confirming factors.
Highlighting: Transparent overlays highlight trending areas to enhance visual clarity.
Alerts:
Stay informed with customizable alerts that notify you of important market movements:
SuperTrend Buy/Sell: Alerts when standard buy or sell signals are generated.
Power Buy/Sell Alerts: Notifications for strong buy or sell signals based on comprehensive conditions.
Trend Direction Change: Alerts when the trend changes from bullish to bearish or vice versa.
How to Use:
Add to Chart: Apply the Power Trend Indicator to your preferred trading chart on TradingView.
Configure Settings: Adjust the input parameters to match your trading style and the timeframe you are analyzing.
Analyze Trends: Observe the trend lines, bar colors, and AlphaTrend line to understand the current market trend.
Follow Signals: Look for buy and sell signals or power signals to identify potential entry and exit points.
Set Alerts: Enable alerts to receive real-time notifications of significant trading opportunities.
Adjust as Needed: Fine-tune the settings based on market conditions and your trading experience.
Important Notes:
Backtesting: While the Power Trend Indicator is built using robust technical analysis principles, it's essential to backtest and validate its performance within your trading strategy.
Market Conditions: The indicator performs best in trending markets. In sideways or highly volatile markets, signal reliability may vary.
Risk Management: Always employ proper risk management techniques when trading based on indicator signals to protect your capital.
Disclaimer:
This indicator is intended for educational purposes only and does not provide financial advice or guarantee future performance. Trading involves risk, and past results are not indicative of future outcomes. Always conduct your own analysis and risk management.
[ADB] Opening Range with Breakouts this indicator can help you to detect range breakouts and help you to set sl and tp
Institutional Moves DetectorIndicator Name: Institutional Pattern Detector
What It Does:
Trend Following: It uses a Moving Average (MA) to understand the general direction of the price. The MA is like a smoothed-out line of the price over time, showing if the price trend is going up or down.
Volatility Measurement: The script employs Bollinger Bands (BB) to see how much the price is fluctuating. Bollinger Bands create an upper and lower "channel" around the price, which gets wider or narrower based on how volatile the price is.
Volume Check: It looks at trading volume to find times when there's unusually high activity, which could mean big players (institutions like banks or funds) are trading. It flags this when the volume is 1.5 times more than the average volume of the last 100 bars.
Pattern Detection for Trading Signals:
Entry Signal ("IN"): When there's high volume and the price is above the upper Bollinger Band, it suggests there might be strong buying from big institutions. This could mean the price might keep going up.
EXIT Signal ("OUT"): If there's high volume and the price falls below the lower Bollinger Band, it indicates possible strong selling pressure from institutions, suggesting the price might go down.
Visual Cues:
An orange label "IN" appears below the price bar for entry signals.
A red label "OUT" appears above the price bar for exit signals.
The moving average line is plotted on the chart in orange to help you see the trend.
Alerts: The script can alert you when these entry or exit signals occur, so you can get notifications without needing to stare at the chart all day.
For New Traders:
This indicator helps you spot when big traders might be influencing the market, potentially giving you a clue about when to enter or exit.
Remember, this is one tool among many. You should not base your trading solely on this; combine it with other analysis methods.
It's always wise to practice with a demo account before using real money to get a feel for how these signals work in actual market conditions.
Pivot all in onePivot all in one !
Pivot Strength
Pivot Significance
Pivot Distance
Support / Resistance via pivots.
Follow for more, Enjoy !
Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
Datia-PM-ScalperThis script is ideal for scalpers seeking quick entry and exit opportunities. It performs effectively in sideways and indecisive markets . In a clearly trending market, it can help identify potential pullback areas, but trades should always align with the prevailing trend. Thank you!
Autocorrelation Price Forecasting Backtesting [ScrimpleAI]This script presents an innovative trading backtesting strategy designed to leverage autocorrelation models and linear regression on historical price returns . The goal is to forecast future price movements, identify recurring market cycles, and optimize trading decisions.
Main Functionality
This backtesting script is built to simulate trades by integrating historical autocorrelation with dynamic price forecasting . It incorporates risk management, stop-loss features, and an advanced backtesting date range, providing traders with maximum flexibility for evaluating strategies.
Key Features
1. Customizable Date Range for Backtesting
Allows users to define the exact date period for backtesting their strategies, ensuring they can fine-tune results for specific historical scenarios.
- Inputs: Start and End dates (day, month, year).
2. Autocorrelation Price Forecasting
- Detects cycles in market movements using the `ta.correlation` function.
- Highlights significant cycles when the autocorrelation exceeds a threshold value (default: 0.50).
- Stores projected values based on autocorrelation and linear regression of percentage returns for enhanced forecasting accuracy.
3. Forecast Threshold and Profit Assessment
- Evaluates hypothetical gains by comparing forecasted future prices to the current price.
- Customizable threshold gains to determine minimum profitability requirements for opening trades.
4. Strategy Side
- Long or Short Mode: Users can choose to test either long or short strategies to align with their trading approach.
5. Risk and Trade Management
- Order Sizing: Adjust position size as a percentage of the portfolio.
- Stop-Loss Integration: Dynamically calculates stop-loss based on user-defined percentages.
- Take Profit Target: Automatically sets take-profit levels based on forecasted gains.
6. Visual Alerts
- Provides clear visual signals of long and short entries on the chart, including labels and dynamic coloring.
- Forecasted prices are displayed directly on the chart as a continuous line, enhancing decision-making clarity.
Practical Applications
1. Cycle Detection: Utilize autocorrelation to identify repetitive market behaviors and cycles.
2. Forecasting for Backtesting: Simulate trades and assess the profitability of various strategies based on future price predictions.
3. Risk Management: Test different stop-loss and take-profit configurations.
4. Custom Period Analysis: Evaluate strategy performance in specific historical market conditions using the date range filter.
Core Logic Walkthrough
1. Autocorrelation for Cycle Detection:
- Historical prices are analyzed for recurring patterns using the `ta.correlation` function.
- If a significant cycle is detected (above the `signal_threshold`), the `linreg_values` (linear regression of returns) are stored for price projection.
2. Future Price Estimation: Forecasted price is calculated based on linear regression values and current price movements.
3. Trade Entry Logic
Long Trades
- Triggered if the hypothetical gain exceeds the threshold gain.
- Sets a take-profit level based on the projected future price.
- Includes an optional stop-loss based on user-defined percentages.
Short Trades
- Triggered if the hypothetical gain is less than the negative of the threshold gain.
- Configures take-profit and stop-loss levels for bearish trades.
4. Risk Management
- Position Sizing: Automatically calculates the order size as a percentage of the portfolio.
- Stop-Loss: Dynamically adjusts stop-loss levels to minimize risk.
5. Date Range Filtering: Ensures trades are executed only within the defined backtesting period.
Example Use Case: Backtesting with Autocorrelation
- A trader analyzes a 6-month period using 50 historical bars for autocorrelation.
- Sets a threshold gain of 10% and enables a stop-loss at 5%.
- Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
If you find this strategy useful or have ideas for improvements, leave a comment! What new features would you like to see in this strategy?
