LiquidFusion SignalPro [CHE] LiquidFusion SignalPro – Indicator Overview
The LiquidFusion SignalPro is a powerful and sophisticated TradingView indicator designed to identify high-quality trade entries and exits. By combining seven unique sub-indicators, it provides comprehensive market analysis, ensuring traders can make informed decisions. This tool is suitable for all market conditions and supports customization to fit individual trading strategies.
Key Components (Sub-Indicators):
1. RPM (Relative Price Momentum):
- Measures cumulative price momentum over a specified period.
- Provides insights into price strength and directional bias.
- Input Customization:
- Source: Data for momentum calculation.
- Period: Length for momentum measurement.
- Resolution: Timeframe for data fetching.
2. BBO (Bull-Bear Oscillator):
- Calculates the strength of bullish or bearish momentum based on price movement and RSI conditions.
- Uses a super-smoothing technique for reliable signals.
- Customizable parameters include the oscillator's period and repainting options.
3. MACD (Moving Average Convergence Divergence):
- A classic momentum indicator for trend direction and strength.
- Provides buy/sell signals based on the crossover of the MACD line and signal line.
- Input Customization:
- Fast/Slow EMA Periods.
- Signal Line Period.
- Resolution and Source Data.
4. RSI (Relative Strength Index):
- Tracks overbought and oversold conditions.
- A key tool to validate trend continuation or reversals.
- Customizable period, resolution, and source.
5. CCI (Commodity Channel Index):
- Measures the deviation of price from its average.
- Useful for identifying cyclical trends.
- Input Customization includes period, resolution, and source.
6. Stochastic Oscillator:
- Indicates momentum by comparing closing prices to a range of highs and lows.
- Includes smoothing factors for %K and %D lines.
- Customizable parameters:
- %K Length and Smoothing.
- Resolution and Repainting Options.
7. Supertrend:
- A trailing stop-and-reverse system for trend-following strategies.
- Excellent for identifying strong trends and potential reversals.
- Inputs include the multiplier factor and period for ATR-like calculations.
Inputs Overview:
The indicator supports extensive customization for each sub-indicator, grouped under intuitive categories:
- Color Settings: Define bullish and bearish plot colors.
- RPM, BBO, MACD, RSI, CCI, Stochastic, and Supertrend Settings: Tailor each sub-indicator's behavior with adjustable parameters.
- UI Options: Toggle features such as bar coloring, indicator names, and plotted candles.
Trade Signals:
- Long Signal:
- All indicators align in a bullish state:
- RPM > 0, MACD > 0, RSI > 50, Stochastic > 50, CCI > 0, BBO > 0, Supertrend below price.
- Plot: Green triangle below the candle.
- Alert: Notifies the trader of a potential long entry.
- Short Signal:
- All indicators align in a bearish state:
- RPM < 0, MACD < 0, RSI < 50, Stochastic < 50, CCI < 0, BBO < 0, Supertrend above price.
- Plot: Red triangle above the candle.
- Alert: Notifies the trader of a potential short entry.
Features:
- Enhanced Visuals: Plots sub-indicator statuses using labels and color-coded shapes for clarity.
- Alerts: Integrated alert conditions for both long and short trades.
- Bar Coloring: Provides overall trend bias with green (bullish), red (bearish), or gray (neutral) bars.
- Customizable Table: Displays the indicator's status in the chart’s top-right corner.
Trading Benefits:
The LiquidFusion SignalPro excels in generating high-quality entries and exits by:
- Reducing noise through multiple indicator alignment.
- Supporting multiple timeframes and resolutions for flexibility.
- Offering customizable inputs for personalized trading strategies.
Use this tool to enhance your market analysis and improve your trading performance.
Disclaimer:
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
This indicator is inspired by the Super 6x Indicators: RSI, MACD, Stochastic, Loxxer, CCI, and Velocity . A special thanks to Loxx for their relentless effort, creativity, and contributions to the TradingView community, which served as a foundation for this work.
Happy trading and best regards
Chervolino
インジケーターとストラテジー
Lot Size & Risk Calculator (All Pairs)this indicator is designed to simplify and optimize risk management. It automatically calculates the ideal lot size based on your account balance, risk percentage, and defined entry and exit levels. Additionally, it includes visual tools to represent stop-loss (SL) and take-profit (TP) levels, helping you trade with precision and consistency.
WHAT IS THIS INDICATOR FOR?
This indicator is essential for traders who want to:
Maintain consistent risk in their trades.
Quickly calculate lot sizes for Forex, XAUUSD, BTCUSD, and US100.
Visualize key levels (Entry, SL, and TP) on the chart.
Monitor potential losses and gains in real time.
COMPATIBLE ASSETS
The Lot Size Calculator works with the following assets:
Forex: Standard currency pairs.
XAUUSD: Gold versus the US dollar.
BTCUSD: Bitcoin versus the US dollar.
US100: Nasdaq 100 index.
Calculations adjust automatically based on the selected asset.
TAKE-PROFIT (TP) LEVELS
The indicator allows you to define up to three take-profit levels:
TP1
TP2
TP3
.
Each level is configurable based on your exit strategy.
DASHBOARD
The dashboard is a visual tool that consolidates key information about your trade:
Account balance: Total amount available in your account.
Lot size: Calculated based on your risk and parameters.
Potential loss (SL): Amount you could lose if the price hits your stop-loss.
Potential gain (TP): Expected profit if the take-profit level is reached.
SETTINGS
The indicator offers multiple configurable options to adapt to your trading style:
Levels
Entry: Initial trade price.
Stop-Loss (SL): Maximum allowed loss level.
Take-Profit (TP): Up to three configurable levels.
Risk Management
Account balance ($): Enter your total available balance.
Risk percentage: Define how much you're willing to risk per trade
.
Visual Options
Visualization style: Choose between simple lines or visual fills.
Colors: Customize the colors of lines and labels.
Dashboard Settings
Statistics: Enable or disable key data display.
Size and position: Adjust the dashboard's size and location on the chart.
HOW TO CHANGE AN ENTRY?
Open the indicator settings in TradingView and entering the new data manually
Removing and re-adding the indicator to the chart
Power Of 3 ICT 01 [TradingFinder] AMD ICT & SMC Accumulations🔵 Introduction
The ICT Power of 3 (PO3) strategy, developed by Michael J. Huddleston, known as the Inner Circle Trader, is a structured approach to analyzing daily market activity. This strategy divides the trading day into three distinct phases: Accumulation, Manipulation, and Distribution.
Each phase represents a unique market behavior influenced by institutional traders, offering a clear framework for retail traders to align their strategies with market movements.
Accumulation (19:00 - 01:00 EST) takes place during low-volatility hours, as institutional traders accumulate orders. Manipulation (01:00 - 07:00 EST) involves false breakouts and liquidity traps designed to mislead retail traders. Finally, Distribution (07:00 - 13:00 EST) represents the active phase where significant market movements occur as institutions distribute their positions in line with the broader trend.
This indicator is built upon the Power of 3 principles to provide traders with a practical and visual tool for identifying these key phases. By using clear color coding and precise time zones, the indicator highlights critical price levels, such as highs and lows, helping traders to better understand market dynamics and make more informed trading decisions.
Incorporating the ICT AMD setup into daily analysis enables traders to anticipate market behavior, spot high-probability trade setups, and gain deeper insights into institutional trading strategies. With its focus on time-based price action, this indicator simplifies complex market structures, offering an effective tool for traders of all levels.
🔵 How to Use
The ICT Power of 3 (PO3) indicator is designed to help traders analyze daily market movements by visually identifying the three key phases: Accumulation, Manipulation, and Distribution.
Here's how traders can effectively use the indicator :
🟣 Accumulation Phase (19:00 - 01:00 EST)
Purpose : Identify the range-bound activity where institutional players accumulate orders.
Trading Insight : Avoid placing trades during this phase, as price movements are typically limited. Instead, use this time to prepare for the potential direction of the market in the next phases.
🟣 Manipulation Phase (01:00 - 07:00 EST)
Purpose : Spot false breakouts and liquidity traps that mislead retail traders.
Trading Insight : Observe the market for price spikes beyond key support or resistance levels. These moves often reverse quickly, offering high-probability entry points in the opposite direction of the initial breakout.
🟣 Distribution Phase (07:00 - 13:00 EST)
Purpose : Detect the main price movement of the day, driven by institutional distribution.
Trading Insight : Enter trades in the direction of the trend established during this phase. Look for confirmations such as breakouts or strong directional moves that align with broader market sentiment
🔵 Settings
Show or Hide Phases :mDecide whether to display Accumulation, Manipulation, or Distribution.
Adjust the session times for each phase :
Accumulation: 1900-0100 EST
Manipulation: 0100-0700 EST
Distribution: 0700-1300 EST
Modify Visualization : Customize how the indicator looks by changing settings like colors and transparency.
🔵 Conclusion
The ICT Power of 3 (PO3) indicator is a powerful tool for traders seeking to understand and leverage market structure based on time and price dynamics. By visually highlighting the three key phases—Accumulation, Manipulation, and Distribution—this indicator simplifies the complex movements of institutional trading strategies.
With its customizable settings and clear representation of market behavior, the indicator is suitable for traders at all levels, helping them anticipate market trends and make more informed decisions.
Whether you're identifying entry points in the Accumulation phase, navigating false moves during Manipulation, or capitalizing on trends in the Distribution phase, this tool provides valuable insights to enhance your trading performance.
By integrating this indicator into your analysis, you can better align your strategies with institutional movements and improve your overall trading outcomes.
Sharpe Ratio Indicator (180)Meant to be used on the 1D chart and on BTC.
The Sharpe Ratio Indicator (180 days) is a tool for evaluating risk-adjusted returns, designed for investors who want to assess whether BTC is overvalued, undervalued, or in a neutral state. It plots the Sharpe Ratio over the past 180 days, color-coded to indicate valuation states:
- Red: Overvalued (Sharpe Ratio > 5).
- Green: Undervalued (Sharpe Ratio < -1).
-Blue: Critically Undervalued (Sharpe Ratio <-3).
- Yellow: Neutral (between -1 and 5).
Note that you can change those values yourself in the settings of the indicator.
Strengths:
- Real-time feedback on risk-adjusted returns helps in making timely investment decisions.
- Color-coded signals (red, green, blue and yellow) provide an intuitive, visual indication of the asset's valuation.
- Flexible: Easily adjustable to different subjective valuation levels and risk-free rates.
All hail to Professor Adam and The Real World Community!
Supply and Demand [tambangEA]Supply and Demand Indicator Overview
The Supply and Demand indicator on TradingView is a technical tool designed to help traders identify areas of significant buying and selling pressure in the market. By identifying zones where price is likely to react, it helps traders pinpoint key support and resistance levels based on the concepts of supply and demand. This indicator plots zones using four distinct types of market structures:
1. Rally-Base-Rally (RBR) : This structure represents a bullish continuation zone. It occurs when the price rallies (increases), forms a base (consolidates), and then rallies again. The base represents a period where buying interest builds up before the continuation of the upward movement. This zone can act as support, where buyers may step back in if the price revisits the area.
2. Drop-Base-Rally (DBR) : This structure marks a bullish reversal zone. It forms when the price drops, creates a base, and then rallies. The base indicates a potential exhaustion of selling pressure and a build-up of buying interest. When price revisits this zone, it may act as support, signaling a buying opportunity.
3. Rally-Base-Drop (RBD) : This structure signifies a bearish reversal zone. Here, the price rallies, consolidates into a base, and then drops. The base indicates a temporary balance before sellers overpower buyers. If price returns to this zone, it may act as resistance, with selling interest potentially re-emerging.
4. Drop-Base-Drop (DBD) : This structure is a bearish continuation zone. It occurs when the price drops, forms a base, and then continues dropping. This base reflects a pause before further downward movement. The zone may act as resistance, with sellers possibly stepping back in if the price revisits the area.
Features of Supply and Demand Indicator
Automatic Zone Detection : The indicator automatically identifies and plots RBR, DBR, RBD, and DBD zones on the chart, making it easier to see potential supply and demand areas.
Customizable Settings : Users can typically adjust the color and transparency of the zones, time frames for analysis, and zone persistence to suit different trading styles.
Visual Alerts : Many versions include alert functionalities, notifying users when price approaches a plotted supply or demand zone.
How to Use Supply and Demand in Trading
Identify High-Probability Reversal Zones : Look for DBR and RBD zones to identify potential areas where price may reverse direction.
Trade Continuations with RBR and DBD Zones : These zones can indicate strong trends, suggesting that price may continue in the same direction.
Combine with Other Indicators: Use it alongside trend indicators, volume analysis, or price action strategies to confirm potential trade entries and exits.
This indicator is particularly useful for swing and day traders who rely on price reaction zones for entering and exiting trades.
Simple Parallel Channel TrackerThis script will automatically draw price channels with two parallel trends lines, the upper trendline and lower trendline. These lines can be changed in terms of appearance at any time.
The Script takes in fractals from local and historic price action points and connects them over a certain period or amount of candles as inputted by the user. It tracks the most recent highs and lows formed and uses this data to determine where the channel begins.
The Script will decide whether to use the most recent high, or low, depending on what comes first.
Why is this useful?
Often, Traders either have no trend lines on their charts, or they draw them incorrectly. Whichever category a trader falls into, there can only be benefits from having Trend lines and Parallel Channels drawn automatically.
Trends naturally occur in all Markets, all the time. These oscillations when tracked allow for a more reliable following of Markets and management of Market cycles.
[SGM VaR Stats VS Empirical]Main Functions
Logarithmic Returns & Historical Data
Calculates logarithmic returns from closing prices.
Stores these returns in a dynamic array with a configurable maximum size.
Approximation of the Inverse Error Function
Uses an approximation of the erfinv function to calculate z-scores for given confidence levels.
Basic Statistics
Mean: Calculates the average of the data in the array.
Standard Deviation: Measures the dispersion of returns.
Median: Provides a more robust measure of central tendency for skewed distributions.
Z-Score: Converts a confidence level into a standard deviation multiplier.
Empirical vs. Statistical Projection
Empirical Projection
Based on the median of cumulative returns for each projected period.
Applies an adjustable confidence filter to exclude extreme values.
Statistical Projection
Relies on the mean and standard deviation of historical returns.
Incorporates a standard deviation multiplier for confidence-adjusted projections.
PolyLines (Graphs)
Generates projections visually through polylines:
Statistical Polyline (Blue): Based on traditional statistical methods.
Empirical Polyline (Orange): Derived from empirical data analysis.
Projection Customization
Maximum Data Size: Configurable limit for the historical data array (max_array_size).
Confidence Level: Adjustable by the user (conf_lvl), affects the width of the confidence bands.
Projection Length: Configurable number of projected periods (length_projection).
Key Steps
Capture logarithmic returns and update the historical data array.
Calculate basic statistics (mean, median, standard deviation).
Perform projections:
Empirical: Based on the median of cumulative returns.
Statistical: Based on the mean and standard deviation.
Visualization:
Compare statistical and empirical projections using polylines.
Utility
This script allows users to compare:
Traditional Statistical Projections: Based on mathematical properties of historical returns.
Empirical Projections: Relying on direct historical observations.
Divergence or convergence of these lines also highlights the presence of skewness or kurtosis in the return distribution.
Ideal for traders and financial analysts looking to assess an asset’s potential future performance using combined statistical and empirical approaches.
Dynamic TestingInput Parameters
`lookbackPeriod` : Number of candles to check for determining the highest high (resistance) and lowest low (support) levels.
`atrPeriod` : The period for calculating the Average True Range (ATR), a measure of market volatility.
`atrMultiplierSL` : Multiplier to calculate the stop-loss distance relative to the ATR.
`atrMultiplierTP1` and `atrMultiplierTP2` : Multipliers to calculate two take-profit levels relative to ATR.
`rewardToRisk` : The ratio between reward (profit) and risk (stop loss) for trade management.
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Core Calculations
ATR (Average True Range)
atr = ta.atr(atrPeriod)
ATR is computed using the specified period to gauge price volatility.
Volume SMA
volumeSMA = ta.sma(volume, atrPeriod)
The script calculates the simple moving average of volume over the same period as ATR. This is used as a threshold for validating high-volume scenarios.
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Support and Resistance Levels
`support` : Lowest price over the last `lookbackPeriod` candles.
`resistance` : Highest price over the same period.
`supportBuffer` and `resistanceBuffer` : These are "buffered" zones around support and resistance, calculated using half of the ATR to prevent false breakouts.
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Entry Scenarios
Bullish Entry (`isBullishEntry`)
The close is above the buffered support level.
The low of the current candle touches or breaks below the support level.
The trading volume is greater than the `volumeSMA`.
Bearish Entry (`isBearishEntry`)
The close is below the buffered resistance level.
The high of the current candle touches or exceeds the resistance level.
The trading volume is greater than the `volumeSMA`.
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Box Visualization
Bullish and Bearish Boxes
Bullish Box (`bullishBox`):
- A green, semi-transparent rectangle around the support level to highlight the bullish entry zone.
- Dynamically updates based on recent price action.
Bearish Box (`bearishBox`):
- A red, semi-transparent rectangle around the resistance level to highlight the bearish entry zone.
- Adjusts similarly as price evolves.
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Stop Loss and Take Profit Calculations
Bullish Trades
Stop Loss (`bullishSL`): Calculated as support - atrMultiplierSL * ATR .
Take Profit 1 (`bullishTP1`): support + rewardToRisk * atrMultiplierTP1 * ATR .
Take Profit 2 (`bullishTP2`): support + rewardToRisk * atrMultiplierTP2 * ATR .
Bearish Trades
Stop Loss (`bearishSL`): resistance + atrMultiplierSL * ATR .
Take Profit 1 (`bearishTP1`): resistance - rewardToRisk * atrMultiplierTP1 * ATR .
Take Profit 2 (`bearishTP2`): resistance - rewardToRisk * atrMultiplierTP2 * ATR .
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Visualization for Key Levels
Bullish Scenario
Green lines represent `bullishTP1` and `bullishTP2` for profit targets.
A red line indicates the `bullishSL` .
Labels like "TP1," "TP2," and "SL" dynamically appear at respective levels to make the targets and risk visually clear.
Bearish Scenario
Red lines represent `bearishTP1` and `bearishTP2` .
A green line marks the `bearishSL` .
Similar dynamic labeling for `TP1` , `TP2` , and `SL` at corresponding bearish levels.
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Dynamic Updates
Both the entry boxes and key level visualizations (lines and labels) adjust dynamically based on real-time price and volume data.
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Purpose
Identify high-probability bullish and bearish trade setups.
Define clear entry zones (using boxes) and exit levels (TP1, TP2, SL).
Incorporate volatility (via ATR) and volume into decision-making.
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Technical Summary
Dynamically visualize support/resistance levels.
Set risk-managed trades using ATR-based stop-loss and profit levels.
Automate visual trade zones for enhanced chart clarity.
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INDICADOR MAMADEIRA atualizadoindicador para observar entradas e saidas dos traders, roda em qualquer ativo e qualquer tempo grafico.
BOA SORTE E BONS TRADERS.
MFI Top/Bottom [sinyalbak.com]MFI Top/Bottom with Bollinger Bands Indicator
Overview
This indicator combines the Money Flow Index (MFI) with Bollinger Bands to identify potential overbought and oversold conditions in the market. It offers a unique approach by applying Bollinger Bands to the MFI itself, providing additional context for divergence and extreme readings.
Features
Combined MFI and Bollinger Bands analysis
Optional RSI display
Customizable overbought/oversold zones
Visual highlighting of extreme conditions
Signal detection for potential reversals
Flexible visualization options
Indicator Components
1. Main Indicators
Money Flow Index (MFI): A momentum indicator that incorporates both price and volume
Relative Strength Index (RSI): Optional, can be displayed instead of or alongside MFI
Bollinger Bands: Applied to either MFI or RSI values
2. Visual Elements
Green line: MFI
Maroon line: RSI (when enabled)
Blue bands: Bollinger Bands
Yellow circles: Signals when MFI crosses Bollinger Bands
Colored zones: Highlighted overbought/oversold areas
3. Signal Zones
Overbought zone: 70-75
Oversold zone: 25-30
Middle line: 50
How to Use
1. Basic Setup
Set your preferred lookback period (default: 14)
Adjust the Bollinger Bands multiplier (default: 2.0)
Choose whether to display MFI, RSI, or both
2. Signal Interpretation
Overbought Signals: When MFI enters the 70-75 zone
Oversold Signals: When MFI enters the 25-30 zone
Strong Signals: When MFI crosses outside Bollinger Bands
Divergence: Watch for price/indicator divergence at extremes
3. Best Practices
Use in conjunction with other indicators for confirmation
Pay attention to overall trend direction
Look for divergences at extreme levels
Consider volume patterns alongside indicator signals
Customization Options
Input Parameters
Length: Adjusts the calculation period
Multiplier: Controls Bollinger Bands width
Display options for MFI/RSI
Zone highlighting toggles
Visual Settings
Adjustable line colors and styles
Customizable zone highlighting
Optional signal visualization
Tips for Trading
Entry Signals
Look for oversold conditions with bullish price action
Watch for overbought conditions with bearish price action
Confirm with Bollinger Band crosses
Exit Signals
Monitor extreme readings for potential reversals
Use middle line (50) crosses for trend changes
Watch for divergence between price and indicator
Risk Management
Don't rely solely on indicator signals
Consider using multiple timeframes
Set appropriate stop-loss levels
Technical Notes
Calculation based on HLC3 price
Volume-weighted momentum measurement
Adaptive bands based on standard deviation
Signal generation uses both static levels and dynamic bands
Disclaimer
This indicator is for educational and informational purposes only. Always conduct your own analysis and use proper risk management techniques when trading.
ATH Strat Screener - Cristiano_m16Screener for Strat Patterns (Rob Smith 'The Strat')
Support for Nirvana Setup (1-3)
2-1-2 Setup
Chicago (3-1)
Ayce's 3-2Down-2Up and 3-2Up-2Down
Ayce Miyagi 12h setup (1-3-1-3)
Indicator works based off current time frame; meaning if you are on the 1h timeframe it will show which tickers have those setups on the 1h time frame. Currently has support for 15 tickers, fully customizable in the indicator options.
This script detects current candle, will remove the "signal" if the pattern is invalidated. For example if on the 12h chart you have a 1-3-1 or a 1-3-1-2 it will show as a Miyagi setup, but once it goes 1-3-1-3 it will no longer show as that setup has played out and is invalid. Same if you have a 3-2Down and then next bar does 2 down as well, the ticker will be removed as a setup for the potential 3-2D-2U as it is now invalidated.
This script pulls data is pulled from extended hours time frames only.
Fibonacci Renko Candle Trend - AynetThe " Fibonacci Renko Candle Trend - Aynet" Pine Script is an innovative and customizable indicator that merges the concept of Fibonacci retracement levels with Renko charting, a method designed to filter out market noise by focusing purely on price movement. Below is a detailed, scientific explanation of its structure and functionality:
Key Components
1. ATR-Based Renko Chart
ATR Calculation: The script calculates the Average True Range (ATR) over a user-defined period (atrLength). ATR represents market volatility and dynamically determines the Renko box size.
Box Size: The box size is computed as a product of ATR and a user-defined Fibonacci multiplier (fibMultiplier), making it adaptable to changing market conditions.
2. Fibonacci Integration
Fibonacci Levels: Users manually input Fibonacci ratios (e.g., 0.236, 0.382, 0.618, etc.) that are stored in an array. These ratios define potential retracement or extension levels in the Renko chart.
Dynamic Levels: The script iteratively calculates price levels based on the Renko box size and Fibonacci ratios, identifying the next significant level whenever a price crosses a predefined threshold.
3. Renko Candle Construction
Trend Direction: The script dynamically tracks trend changes by comparing the current close price with previous open and close values.
Renko Candles: When price movement exceeds the box size:
Uptrend: A green candle is drawn if the price rises above the current box.
Downtrend: A red candle is drawn if the price falls below the current box.
Coloring: The Renko candles are colored green (uptrend) or red (downtrend) to visually indicate market momentum.
4. Signal Generation
Trend Change Detection: A trend change is identified when the direction of the Renko box changes from upward to downward or vice versa.
Signal Labels: If a trend change occurs, the script generates "LONG" or "SHORT" signals with associated Fibonacci levels. These labels are positioned near the respective candles and displayed with customizable transparency for clarity.
5. Fibonacci Visualization
The script dynamically plots Fibonacci levels as horizontal dashed lines:
Each line corresponds to a specific Fibonacci ratio scaled by the box size.
These lines act as potential support or resistance zones, offering a roadmap for market behavior.
6. User Interface and Customization
Parameters: Users can configure:
ATR period (atrLength).
Fibonacci multipliers and ratios.
Signal label transparency and display settings.
Info Panel: A compact information table displays the computed Renko box size for reference.
Scientific and Trading Use Cases
Noise Filtering: By using Renko charts, the script eliminates time-based noise, allowing traders to focus solely on price action.
Volatility-Based Adaptation: The ATR-based dynamic box size ensures the indicator adapts to market volatility, making it robust across asset classes and market conditions.
Fibonacci-Based Strategy: Incorporating Fibonacci levels provides a structured framework to predict key support and resistance levels, commonly used in retracement and extension strategies.
Signal Precision: By combining Renko and Fibonacci levels, the script identifies trend changes with high precision, aiding traders in timing their entries and exits.
Improvements for Advanced Use
Multi-Timeframe Support: Extend the script to compute Renko levels and Fibonacci ratios across multiple timeframes.
Alert Integration: Add alerts for when price crosses specific Fibonacci levels or when trend changes occur.
Statistical Validation: Enhance the script by integrating a success rate tracker for signals, helping traders evaluate its reliability.
This script is a powerful tool for traders looking for a balance between simplicity and accuracy, leveraging advanced concepts like Fibonacci and Renko to deliver actionable insights.
Pivot Points W/ Mids and VWAP, 4-EMA's, Crossover & HA OverlapWith this indicator i included my basic Pivot Points with Mids, 4 EMA's that you can change to to whatever length you desire with the ability to have crossover alert for you 1st and 2nd EMA's only and the standard VWAP, i also included the Heiken Ashi and to use it you must go to chart Settings>Symbol and uncheck the candle colors, the reason for this is so that you can have the Pivot Points based on candle stick data and not based on Heiken Ashi data that will skew with the pivot point levels. This is what i typically have on my chart for trading and as time goes i might change/update with add ons to adjust the needs. Hope you guys enjoy it as i do. Happy Trading
Market sessions + Volume Profile+ Vwap+ VectorThis advanced TradingView script is designed for traders aiming to analyze market behavior using volume profiles, dynamic VWAPs, and PSVRA-based vectors, allowing the data to be divided into customized sessions. It is ideal for intraday trading strategies or detailed analysis of value areas.
Based on volume profile of @LeviathanCapital
Key Features:
Customized Volume Profiles:
Splits the chart into user-defined sessions (e.g., daily sessions or specific market hours).
Calculates value areas (70% of total volume), Point of Control (POC), and areas of interest.
VWAP Indicators:
Daily VWAP: A dynamic reference point for intraday analysis, providing the volume-weighted average price.
Weekly VWAP: Identifies trends and key levels in a broader context.
PSVRA-Based Vectors:
Highlights the direction of order flow and market activity using the PSVRA (Price, Spread, Volume, Relative Activity) method.
Session Visualization:
Marks the start and end of each session with clear boxes.
Each session has a unique volume profile.
Complete Customization:
Adjust session timings to match different markets or time zones.
Options for colors, line thickness, and highlighted levels.
Key Levels:
Point of Control (POC): Indicates the price level with the highest volume.
Value Area High/Low (VAH/VAL): Defines the price range where most trading occurs.
Dynamic VWAPs (Daily and Weekly): Adds critical references for support and resistance across multiple time frames.
Style and Usability:
Simple configuration via the input panel.
Compatible with various timeframes and assets.
How to Use:
Session Configuration:
Define the timing for each session (e.g., pre-market, open, close).
Adjust time zones to suit your needs.
Volume Profile Analysis:
Observe where the volume is concentrated in each session.
Identify key levels for dynamic support and resistance.
VWAP and PSVRA Analysis:
Use daily and weekly VWAP to find weighted average price references over time.
Analyze PSVRA vectors to locate areas with significant buyer or seller activity.
Compatibility:
Works with any asset and timeframe supported by TradingView.
Ideal for:
Intraday traders.
Operators looking for key levels based on volume profiles, VWAPs, and PSVRA analysis.
Detailed analysis of global market sessions.
Support, Resistance & FibonacciKey Features
1. Support and Resistance Detection:
◦ Automatically identifies support and resistance levels based on recent price patterns.
◦ Draws lines and optional labels to highlight these levels on the chart.
2. Fibonacci Levels:
◦ Calculates and draws standard Fibonacci retracement levels (23%, 38%, 50%, 61%, 78%).
◦ Supports customization of colors, line thickness, and transparency.
3. Fibonacci Extensions:
◦ Draws extension levels (e.g., 127%, 141%, 161%,200%,227%,241%) after a breakout to predict possible price targets.
4. Breakout Alerts:
◦ Sends alerts when the price breaks a support or resistance level.
Key Points and Settings
• Settings: Users can adjust colors, transparency, line thickness, lengths, and label positions.
• Support/Resistance Logic:
◦ A support level is defined when the price reverses at a low point.
◦ A resistance level is detected when the price reverses at a high point.
• Fibonacci Drawing:
◦ Retracements are calculated within the support and resistance range.
◦ Extensions are based on the distance between the last support and resistance.
Code Explanation
1. Settings:
◦ Sections like input.bool and input.color allow users to configure the indicator.
◦ Example: show_support_label toggles the display of support labels.
2. Fibonacci Levels:
◦ The fibo_draw() function calculates retracement levels and plots horizontal lines on the chart.
◦ Extensions are drawn using the fibo_extend() function for breakouts.
3. Support/Resistance Detection:
◦ Logic is based on lows and highs from the past 4 candles.
◦ Lines and labels are dynamically created and updated.
4. Alerts:
◦ The alert() function triggers notifications during breakouts.
How to Use
1. Click "Add to Chart" to display the indicator on your chart.
2. Customize the settings via the right-hand panel (colors, alerts, Fibonacci levels).
3. Observe how support and resistance lines, as well as Fibonacci levels, are displayed on your chart.
Adaptive Moving AveragesThe Adaptive Moving Averages indicator stands out with several unique features that set it apart from traditional moving average indicators. Its most remarkable characteristic is the ability to automatically adjust the length of moving averages based on the chosen timeframe. This ensures consistency in analysis regardless of the time scale used, eliminating the need for manual recalculation of appropriate periods for each timeframe. It allows for a more fluid and accurate multi-temporal analysis.
Another innovative aspect is the indicator's consideration of different market types (stocks, forex, crypto). This approach recognizes the fundamental differences between these markets in terms of trading hours, allowing for more precise and representative calculations for each asset class. It offers increased flexibility for traders operating across various markets.
The method for calculating periods for different moving averages (week, month, quarter, semester, year) is particularly sophisticated. It takes into account the specifics of each market, such as trading days and opening hours, automatically adapting to timeframe changes. This ensures a more accurate representation of actual trading periods rather than arbitrary approximations.
The indicator offers a wide choice of moving average types, allowing traders to use their preferred method or compare different approaches. This flexibility adapts to various trading styles and technical analysis strategies, offering the possibility to experiment and find the most effective combination for each market or asset.
In conclusion, this indicator distinguishes itself through its ability to intelligently adapt to different trading contexts, offering a versatile and sophisticated solution for technical analysis. Its flexibility and adaptive approach make it a particularly interesting tool for traders seeking consistent analysis across different markets and time scales.
sniper accumulator bitcoin 2.0this strategy lets you buy and sell bitcoin using some conditions of your choice. It can sell at fixed percentage profit or in other market conditions. You can choose a minimum interval between orders so that orders do not come too often. You can choose a percentage of your portfolio for every order and the system will dca the price with the following orders. It does not have a stop loss and it is designed to be used in spot market and long only, averaging the price down. It works with bitcoin and any other crypto of your choice.
Multiple RSITitle: MultiRSI: A Versatile Multi-Timeframe RSI Indicator
Short Description:
A powerful RSI-based indicator that incorporates three RSI lengths (Fast, Medium, and Slow) to help traders analyze trends, momentum, and potential reversals with clear visual signals.
Full Description:
Overview:
The MultiRSI script provides traders with a dynamic tool to assess market conditions across multiple RSI timeframes. It calculates Fast, Medium, and Slow RSI values, assigns meaningful colors based on trend analysis, and highlights key crossover points for actionable insights.
Key Features:
Triple RSI Display:
Fast RSI (default: 8): Ideal for capturing short-term momentum.
Medium RSI (default: 12): Provides a balanced perspective.
Slow RSI (default: 16): Helps identify longer-term trends.
Trend Analysis:
Color-coded RSI lines:
Green, blue, and aqua for uptrends.
Yellow, orange, and red for potential downtrends.
Visual differentiation for easy interpretation.
Crossover Signals:
Upward Cross (triangle up): Indicates potential bullish momentum.
Downward Cross (triangle down): Suggests possible bearish momentum.
Marked directly on the chart for clarity.
Customizable Inputs:
Adjust RSI lengths to suit your trading strategy.
Grouped input settings for a seamless configuration experience.
Usage Scenarios:
Identify trend strength and reversals in different timeframes.
Spot key momentum shifts with crossover signals.
Combine with other indicators for a comprehensive trading strategy.
How It Works:
The script compares the Fast RSI against the Medium RSI and the Medium RSI against the Slow RSI to determine short-, medium-, and long-term trends. Crossovers between Medium and Slow RSI values signal potential momentum shifts.
Visualization:
Clear, color-coded plots for the three RSI levels.
Highlighted crossovers for quick decision-making.
License:
This script is open-source under the Mozilla Public License 2.0. Feel free to use, modify, and share!
Trend Levels [RD]This is the same script as the one from ChartPrime, just with the default length set to 200 (for BTC on the 15min it seems to give a good response), and the flip level shown in the table. The flip level is the level at which if hit, it will flip from the existing trend to the other.
Refined MA Strategy with Trailing Stop for 30mStrategy based on Moving average and trailing stop for any stock or indices.
With an added invisible RSI for accurate entries
Bayesian Price Projection Model [Pinescriptlabs]📊 Dynamic Price Projection Algorithm 📈
This algorithm combines **statistical calculations**, **technical analysis**, and **Bayesian theory** to forecast a future price while providing **uncertainty ranges** that represent upper and lower bounds. The calculations are designed to adjust projections by considering market **trends**, **volatility**, and the historical probabilities of reaching new highs or lows.
Here’s how it works:
🚀 Future Price Projection
A dynamic calculation estimates the future price based on three key elements:
1. **Trend**: Defines whether the market is predisposed to move up or down.
2. **Volatility**: Quantifies the magnitude of the expected change based on historical fluctuations.
3. **Time Factor**: Uses the logarithm of the projected period (`proyeccion_dias`) to adjust how time impacts the estimate.
🧠 **Bayesian Probabilistic Adjustment**
- Conditional probabilities are calculated using **Bayes' formula**:
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This models future events using conditional information:
- **Probability of reaching a new all-time high** if the price is trending upward.
- **Probability of reaching a new all-time low** if the price is trending downward.
- These probabilities refine the future price estimate by considering:
- **Higher volatility** increases the likelihood of hitting extreme levels (highs/lows).
- **Market trends** influence the expected price movement direction.
🌟 **Volatility Calculation**
- Volatility is measured using the **ATR (Average True Range)** indicator with a 14-period window. This reflects the average amplitude of price fluctuations.
- To express volatility as a percentage, the ATR is normalized by dividing it by the closing price and multiplying it by 200.
- Volatility is then categorized into descriptive levels (e.g., **Very Low**, **Low**, **Moderate**, etc.) for better interpretation.
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🎯 **Deviation Limits (Upper and Lower)**
- The upper and lower limits form a **projected range** around the estimated future price, providing a framework for uncertainty.
- These limits are calculated by adjusting the ATR using:
- A user-defined **multiplier** (`factor_desviacion`).
- **Bayesian probabilities** calculated earlier.
- The **square root of the projected period** (`proyeccion_dias`), incorporating the principle that uncertainty grows over time.
🔍 **Interpreting the Model**
This can be seen as a **dynamic probabilistic model** that:
- Combines **technical analysis** (trends and ATR).
- Refines probabilities using **Bayesian theory**.
- Provides a **visual projection range** to help you understand potential future price movements and associated uncertainties.
⚡ Whether you're analyzing **volatile markets** or confirming **bullish/bearish scenarios**, this tool equips you with a robust, data-driven approach! 🚀
Español :
📊 Algoritmo de Proyección de Precio Dinámico 📈
Este algoritmo combina **cálculos estadísticos**, **análisis técnico** y **la teoría de Bayes** para proyectar un precio futuro, junto con rangos de **incertidumbre** que representan los límites superior e inferior. Los cálculos están diseñados para ajustar las proyecciones considerando la **tendencia del mercado**, **volatilidad** y las probabilidades históricas de alcanzar nuevos máximos o mínimos.
Aquí se explica su funcionamiento:
🚀 **Proyección de Precio Futuro**
Se realiza un cálculo dinámico del precio futuro estimado basado en tres elementos clave:
1. **Tendencia**: Define si el mercado tiene predisposición a subir o bajar.
2. **Volatilidad**: Determina la magnitud del cambio esperado en función de las fluctuaciones históricas.
3. **Factor de Tiempo**: Usa el logaritmo del período proyectado (`proyeccion_dias`) para ajustar cómo el tiempo afecta la estimación.
🧠 **Ajuste Probabilístico con la Teoría de Bayes**
- Se calculan probabilidades condicionales mediante la fórmula de **Bayes**:
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Esto permite modelar eventos futuros considerando información condicional:
- **Probabilidad de alcanzar un nuevo máximo histórico** si el precio sube.
- **Probabilidad de alcanzar un nuevo mínimo histórico** si el precio baja.
- Estas probabilidades ajustan la estimación del precio futuro considerando:
- **Mayor volatilidad** aumenta la probabilidad de alcanzar niveles extremos (máximos/mínimos).
- **La tendencia del mercado** afecta la dirección esperada del movimiento del precio.
🌟 **Cálculo de Volatilidad**
- La volatilidad se mide usando el indicador **ATR (Average True Range)** con un período de 14 velas. Este indicador refleja la amplitud promedio de las fluctuaciones del precio.
- Para obtener un valor porcentual, el ATR se normaliza dividiéndolo por el precio de cierre y multiplicándolo por 200.
- Además, se clasifica esta volatilidad en categorías descriptivas (e.g., **Muy Baja**, **Baja**, **Moderada**, etc.) para facilitar su interpretación.
🎯 **Límites de Desviación (Superior e Inferior)**
- Los límites superior e inferior representan un **rango proyectado** en torno al precio futuro estimado, proporcionando un marco para la incertidumbre.
- Estos límites se calculan ajustando el ATR según:
- Un **multiplicador** definido por el usuario (`factor_desviacion`).
- Las **probabilidades condicionales** calculadas previamente.
- La **raíz cuadrada del período proyectado** (`proyeccion_dias`), lo que incorpora el principio de que la incertidumbre aumenta con el tiempo.
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🔍 **Interpretación del Modelo**
Este modelo se puede interpretar como un **modelo probabilístico dinámico** que:
- Integra **análisis técnico** (tendencias y ATR).
- Ajusta probabilidades utilizando **la teoría de Bayes**.
- Proporciona un **rango de proyección visual** para ayudarte a entender los posibles movimientos futuros del precio y su incertidumbre.
⚡ Ya sea que estés analizando **mercados volátiles** o confirmando **escenarios alcistas/bajistas**, ¡esta herramienta te ofrece un enfoque robusto y basado en datos! 🚀
Buy When There's Blood in the Streets StrategyStatistical Analysis of Drawdowns in Stock Markets
Drawdowns, defined as the decline from a peak to a trough in asset prices, are an essential measure of risk and market dynamics. Their statistical properties provide insights into market behavior during extreme stress periods.
Distribution of Drawdowns: Research suggests that drawdowns follow a power-law distribution, implying that large drawdowns, while rare, are more frequent than expected under normal distributions (Sornette et al., 2003).
Impacts of Extreme Drawdowns: During significant drawdowns (e.g., financial crises), the average recovery time is significantly longer, highlighting market inefficiencies and behavioral biases. For example, the 2008 financial crisis led to a 57% drawdown in the S&P 500, requiring years to recover (Cont, 2001).
Using Standard Deviations: Drawdowns exceeding two or three standard deviations from their historical mean are often indicative of market overreaction or capitulation, creating contrarian investment opportunities (Taleb, 2007).
Behavioral Finance Perspective: Investors often exhibit panic-selling during drawdowns, leading to oversold conditions that can be exploited using statistical thresholds like standard deviations (Kahneman, 2011).
Practical Implications: Studies on mean reversion show that extreme drawdowns are frequently followed by periods of recovery, especially in equity markets. This underpins strategies that "buy the dip" under specific, statistically derived conditions (Jegadeesh & Titman, 1993).
References:
Sornette, D., & Johansen, A. (2003). Stock market crashes and endogenous dynamics.
Cont, R. (2001). Empirical properties of asset returns: stylized facts and statistical issues. Quantitative Finance.
Taleb, N. N. (2007). The Black Swan: The Impact of the Highly Improbable.
Kahneman, D. (2011). Thinking, Fast and Slow.
Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency.
