AI BUY AND SELL BGThe Gk fundamental is a next gen level ai powered BUY and SELL system engineered for big market moves, it runs an embedded algorithm within a algorithm to detect breakout points before they happen giving traders insane results
works best and only 2h and 4h
Fundamental Analysis
Minimal S/R Zones with Volume StrengthHow it works
Pivot Detection
A pivot high is a candle whose high is greater than the highs of a certain number of candles before and after it.
A pivot low is a candle whose low is lower than the lows of a certain number of candles before and after it.
Parameters like Pivot Left Bars and Pivot Right Bars control how sensitive the pivots are.
Zone Creation
Pivot High → creates a Resistance zone.
Pivot Low → creates a Support zone.
Each zone is defined as a price range (top and bottom) and drawn horizontally for a given lookback length.
Volume Strength Filter
Volume Strength (%) = (Volume at Pivot / Volume SMA) × 100.
If the strength is below the minimum threshold (Min Strength %), the zone is ignored.
This ensures only pivots with significant trading activity create zones.
Zone Management
The indicator stores zones in arrays.
Max Zones per side prevents too many zones from being displayed at once.
Older zones are removed when new ones are added beyond the limit.
Visuals
Support zones → green label with Volume Strength %.
Resistance zones → red label with Volume Strength %.
Zones have semi-transparent boxes so price action remains visible.
Institutional level Indicator V5Smart money concept indicator with added VWAP for better understanding for fair price with relation to movement of price.
Range Detector- LEMAZZEIt looks like you've shared a Pine Script code for a "Range Detector" indicator. This indicator identifies price ranges on a chart and visually represents them with boxes and lines. Here's a breakdown of what it does:
Key Features:
Range Detection:
Uses a moving average (SMA) and ATR (Average True Range) to define price ranges
A range is identified when price stays within ± (ATR × multiplier) of the SMA for a specified length of bars
Visual Elements:
Draws boxes around the detected ranges
Plots a dotted midline within the range
Changes color when the range is broken (up/down)
User Inputs:
Adjustable minimum range length
Range width multiplier
ATR length for volatility calculation
Color customization for different states (broken upward, broken downward, unbroken)
Dynamic Behavior:
Extends ranges if new price action continues within bounds
Changes color when price breaks out of the range
Can merge adjacent ranges if they overlap
How to Use:
When price consolidates within a range, you'll see a box with a dotted midline
If price breaks above, the box turns green (upward break)
If price breaks below, the box turns red (downward break)
The unbroken range remains blue
This indicator could be useful for identifying consolidation periods and potential breakout opportunities in price action trading. The ATR-based range width makes it adaptive to current market volatility.
Fractal/Imbal/Fvg with RSI Dashboard - LEMAZZEIt looks like you've shared a Pine Script code for a TradingView indicator called "Fractal/Imbal/Fvg with RSI Dashboard - LEMAZZE". This indicator combines several technical analysis concepts:
RSI Dashboard: Shows the RSI (Relative Strength Index) value in a table at the top right, colored green when between 30-70 and red otherwise.
Fractals: Identifies fractal patterns (high and low points) with customizable settings for:
Showing fractals
Showing market structure breakouts
Break type (Wick+Body or Body only)
Periods (default 4)
Line styles and colors
Imbalances/Fair Value Gaps (FVG): Detects price imbalances with options to:
Show breakout imbalances
Show other imbalances
Hide filled gaps
Customize colors
Order Blocks: Shows order blocks with customization options for colors and visibility.
Fair Value Gap with Swing PointsFair Value Gaps occur when there's a significant price difference between the close of one period and the opening of the next, signaling market inefficiencies. Bullish gaps indicate potential upward momentum, while bearish gaps suggest potential downward pressure.
Ai buy and sell fundamental the Gk fundamental is a precision built market analysis tool designed yto help traders identify high probability
it uses a combination of market structure analysis, volatility tracking, and multi time frame confirmation to highlight possible trade opportunities
HOW IT WORKS
analyses momentum shift and structure breaks on the 2h chart for clearer direction
confirms potential entries by filtering market noise and using volatility directional filters
HOW TO USE apply 2h chart for primary direction
when signal appears allow 1 candle to close for confirmation
drop to lower time frame to lower time frame to refine entry if desired
always use proper risk management - no tool guarantees results
Supertrend + Range Detector- LEMAZZEIt looks like you're sharing a Pine Script code for a TradingView indicator called "Supertrend + Range Detector JM81". This indicator combines two popular trading tools:
Supertrend - A trend-following indicator that shows potential buy/sell signals based on price crossing above/below a dynamic line calculated using ATR (Average True Range).
Range Detector - Identifies consolidation ranges in the market by detecting when price stays within a certain distance (based on ATR) from a moving average for a specified period.
Key features I notice:
Customizable parameters for both components
Visual alerts for trend changes (buy/sell signals)
Color-coded range boxes that change when broken
Option to show/hide background trend colors
Clean visual presentation with adjustable transparency
The script appears well-structured with clear sections for each component and style customization options.
Swing Breakouts & Liquidity Sweeps - LEMAZZEIt looks like you've shared a Pine Script code for a TradingView indicator called "Swing Breakouts & Liquidity Sweeps - LEMAZZE." This indicator combines two trading concepts:
Swing Breakouts - Identifies potential breakout areas from swing highs/lows with test/retest labels.
Liquidity Sweeps - Detects when price sweeps liquidity (wick breaks) beyond swing points.
Key Features:
Swing Breakouts:
Customizable display options (bullish/bearish/both)
Adjustable width using ATR multiplier
Maximum bars without signal setting
Test/retest label display options
Color customization for bullish/bearish areas
Liquidity Sweeps:
Detects wick breaks and proper breaks of swing points
Three display modes (only wicks, only breakouts, or both)
Color customization for bull/bear sweeps
Extended area display option
How It Works:
It identifies swing highs/lows using pivot points
Creates zones around these swings where breakouts might occur
Tracks liquidity sweeps (wick breaks beyond swing points)
Marks test/retest scenarios with different label styles
Usage Tips:
The indicator works best on higher timeframes (1H+)
Combine with other confirmation signals for better accuracy
The liquidity sweeps can help identify potential stop runs
The breakout areas show zones where price might react
Market Profile with Sessions - LEMAZZEThis script is a comprehensive TradingView indicator called " Market Profile with Sessions, POC, VWAP, EMA50 & HeatMap." It combines multiple advanced technical analysis tools into one powerful visualization. Here's a breakdown of its key features:
Market Profile Visualization:
Volume-based price levels (23 by default)
Color-coded bullish/bearish volume
Heatmap display option
Configurable placement (left/right)
Key Reference Lines:
Point of Control (POC) - highest volume level
VWAP (Volume Weighted Average Price)
EMA 50
Session Analysis:
Customizable session boxes (Asia, London, NY, Close, Day)
Initial Balance (IB) periods for each session
Extended session visualization options
Additional Indicators:
ATR/Volume statistics table
VIX/VVIX indicators
BTC reference price
Gold-BTC correlation study
Advanced Features:
Single print detection (daily/weekly/monthly/yearly)
Volume forecasting zones
Customizable colors and styles
The script provides traders with a complete market structure analysis tool, showing volume distribution, key reference levels, and session-based price action all in one view. The extensive customization options allow users to tailor the display to their specific trading style and preferences.
Note that this is a complex indicator that may require significant system resources, especially when viewing large timeframes or many bars of history. The script includes parameters to help manage performance by limiting the number of drawn elements.
Market Structures BOS/CHoCH Major- LEMAZZEHere's a breakdown of what the indicator does:
Input Parameters:
Allows customization of pivot period for order block detection
Provides style and color options for Bullish/Bearish BoS and ChoCh lines
Core Functionality:
Uses zigzag pattern detection to identify pivot highs and lows
Classifies pivots into different types (HH, LH, HL, LL) and tracks major/minor pivots
Detects Break of Structure (BoS) when price breaks a major level in the direction of the current trend
Detects Change of Character (ChoCh) when price breaks a major level against the current trend
Visualization:
Draws lines and labels for major BoS and ChoCh events
Differentiates between bullish (blue/green) and bearish (orange/red) structures
Allows customization of line styles (solid, dashed, dotted)
Trend Tracking:
Maintains an internal state of the market trend (Up, Down, or No Trend)
Updates trend based on BoS and ChoCh events
The indicator is designed to help traders identify significant market structure changes that often precede trend continuations (BoS) or reversals (ChoCh). The "Major" designation means it focuses only on the most significant structural levels.
The code is quite complex with extensive array manipulation to track pivot points and their classifications. It uses multiple arrays to store different types of pivots (major/minor) and their properties.
TSI Indicator with Trailing StopAuthor: ProfitGang
Type: Indicator (visual + alerts). No orders are executed.
What it does
This tool combines the True Strength Index (TSI) with a simple tick-based trailing stop visualizer.
It plots buy/sell markers from a TSI cross with momentum confirmation and, if enabled, draws a trailing stop line that “ratchets” in your favor. It also shows a compact info table (position state, entry price, trailing status, and unrealized ticks).
Signal logic (summary)
TSI is computed with double EMA smoothing (user lengths).
Signals:
Buy when TSI crosses above its signal line and momentum (TSI–Signal histogram) improves, with TSI above your Buy Threshold.
Sell when TSI crosses below its signal line and momentum weakens, with TSI below your Sell Threshold.
Confirmation: Optional “Confirm on bar close” setting evaluates signals on closed bars to reduce repaint risk.
Trailing stop (visual only)
Units are ticks (uses the symbol’s min tick).
Start Trailing After (ticks): activates the trail only once price has moved in your favor by the set amount.
Trailing Stop (ticks): distance from price once active.
For longs: stop = close - trail; it never moves down.
For shorts: stop = close + trail; it never moves up.
Exits shown on chart when the trailing line is touched or an opposite signal occurs.
Note: This is a simulation for visualization and does not place, manage, or guarantee broker orders.
Inputs you can tune
TSI Settings: Long Length, Short Length, Signal Length, Buy/Sell thresholds, Confirm on Close.
Trailing Stop: Start Trailing After (ticks), Trailing Stop (ticks), Show/Hide trailing lines.
Display: Toggle chart signals, info table, and (optionally) TSI plots on the price chart.
Alerts included
TSI Buy / TSI Sell
Long/Short Trailing Activated
Long/Short Trail Exit
Tips for use
Timeframes/markets: Works on any symbol/timeframe that reports a valid min tick. If your market has large ticks, adjust the tick inputs accordingly.
TSI view: By default, TSI lines are hidden to avoid rescaling the price chart. Enable “Show TSI plots on price chart” if you want to see the oscillator inline.
Non-repainting note: With Confirm on bar close enabled, signals are evaluated on closed bars. Intrabar previews can change until the bar closes—this is expected behavior in TradingView.
Limitations
This is an indicator for education/research. It does not execute trades, and visuals may differ from actual broker fills.
Performance varies by market conditions; thresholds and trail settings should be tested by the user.
Disclaimer
Nothing here is financial advice. Markets involve risk, including possible loss of capital. Always do your own research and test on a demo before using any tool in live trading.
— ProfitGang
Advanced Swing Labels Prohe "Advanced Swing Labels Pro" indicator is a comprehensive tool for identifying and visualizing swing highs and lows on your TradingView chart. Here's a breakdown of its features:
Key Features:
Swing Detection:
Detects swing highs and lows based on user-defined pivot bars (default 5 candles on each side)
Can highlight intermediate swings between major swings
Customization Options:
Color customization for both swing highs and lows
Choice of label styles (triangle, circle, or square)
Adjustable label sizes for intermediate swings
Line style options (solid, dashed, dotted)
Visualization Tools:
Option to connect swings with trend lines
Ability to extend lines to the right
Price display on swing points
Toggle for showing/hiding short-term swings
Advanced Logic:
Identifies higher highs and lower lows
Marks intermediate swings when price makes a lower high or higher low
Manages memory by limiting the number of stored swings
Usage Tips:
Increase the pivot bars setting for longer-term swings
Use different colors for intermediate swings to better visualize price structure
Enable lines to see the overall trend direction
The indicator works best on higher timeframes (1H+)
Technical Notes:
Maximum of 500 labels/lines allowed (adjustable in indicator settings)
Cleans up short-term swings automatically when disabled
Optimized for performance with array management
This indicator is particularly useful for traders who want to quickly identify market structure, potential reversal points, and trend directions. The intermediate swing highlighting helps visualize the development of trends and potential weakening of momentum.
Master Trend & Reversal Indicator [UTC-4 LEMAZZE]It looks like you've shared a Pine Script code for a comprehensive trading indicator called "Master Trend & Reversal Indicator ". This is a sophisticated indicator that combines multiple technical analysis tools and trading concepts. Let me break down what this script does:
Key Features:
Trading Session Hours:
Allows configuration of trading hours (UTC-4 timezone by default)
Includes killzones for Asian, London, and pre-market sessions
Technical Indicators:
VWAP (Volume Weighted Average Price) with standard deviation bands
RSI (Relative Strength Index) with divergence detection
ATR (Average True Range) for volatility filtering
Trading Signals:
Swing point detection (highs/lows)
Breakout signals with retest confirmation option
Divergence signals (bullish/bearish)
Visual Elements:
Plots VWAP and its bands
Marks divergence and breakout signals
Colors background for significant ATR movements
Shows pre-market levels
Statistics Table:
Displays current filter statuses
Shows daily PnL (Profit and Loss)
Tracks daily loss limit
Indicates trading session status
Risk Management:
Includes a daily loss limit feature
Multiple filter options (trend, volume, ATR)
Customization Options:
The script provides numerous user inputs to customize:
Trading hours
Indicator parameters (VWAP period, RSI settings, ATR values)
Which killzones to display
Various filter toggles
Breakout confirmation settings
Timezone Note:
The indicator is set up for UTC-4 timezone (as noted in the title), which is likely Eastern Time (ET) with daylight savings. The comments suggest it also accommodates UTC+2 timezone users.
This appears to be a professional-grade trading tool that combines multiple technical indicators with trading session awareness and risk management features. The creator (JM81) has designed it to work specifically during certain market hours and includes features to help identify significant moves and potential reversals.
Comparaison DXY, VIX, SPX, DJI, GVZPine Script indicator compares the normalized values of DXY, VIX, SPX, DJI, and GVZ indices on a single scale from 0 to 100. Here's a breakdown of what it does:
Data Requests: Gets closing prices for:
US Dollar Index (DXY)
VIX Volatility Index
S&P 500 (SPX)
Dow Jones Industrial Average (DJI)
Gold Volatility Index (GVZ)
Normalization: Each index is normalized using a 500-period lookback to scale values between 0-100, making them comparable despite different price scales.
Visualization:
Plots each normalized index with distinct colors
Adds a dotted midline at 50 for reference
Uses thicker linewidth (2) for better visibility
Timeframe Flexibility: Works on any chart timeframe since it uses timeframe.period
This is useful for:
Comparing relative strength/weakness between these key market indicators
Identifying divergences or convergences in their movements
Seeing how different asset classes (currencies, equities, volatility) relate
You could enhance this by:
Adding correlation calculations between pairs
Including options to adjust the normalization period
Adding alerts when instruments diverge beyond certain thresholds
Including volume or other metrics alongside price
Swing Breakouts & Liquidity Sweeps - LEMAZZEIt looks like you've shared a Pine Script code for a TradingView indicator called "Swing Breakouts & Liquidity Sweeps - LEMAZZE." This indicator combines two trading concepts:
Swing Breakouts - Identifies potential breakout areas from swing highs/lows with test/retest labels.
Liquidity Sweeps - Detects when price sweeps liquidity (wick breaks) beyond swing points.
Key Features:
Swing Breakouts:
Customizable display options (bullish/bearish/both)
Adjustable width using ATR multiplier
Maximum bars without signal setting
Test/retest label display options
Color customization for bullish/bearish areas
Liquidity Sweeps:
Detects wick breaks and proper breaks of swing points
Three display modes (only wicks, only breakouts, or both)
Color customization for bull/bear sweeps
Extended area display option
How It Works:
It identifies swing highs/lows using pivot points
Creates zones around these swings where breakouts might occur
Tracks liquidity sweeps (wick breaks beyond swing points)
Marks test/retest scenarios with different label styles
Usage Tips:
The indicator works best on higher timeframes (1H+)
Combine with other confirmation signals for better accuracy
The liquidity sweeps can help identify potential stop runs
The breakout areas show zones where price might react
RSI + Stochastique FusionRSI + Stochastique Fusion Indicator Analysis
This indicator combines RSI and Stochastic oscillators into a single powerful tool for technical analysis. Here's what it offers:
Key Features
Dual Oscillator System:
Traditional RSI (14-period default)
Stochastic oscillator applied to the RSI values (rather than price)
Customizable Parameters:
Adjustable lengths for both RSI (14) and Stochastic (14)
Smoothing periods for %K (3) and %D (3) lines
Customizable overbought/oversold levels for both indicators
Visual Elements:
RSI line in purple (#7E57C2)
Stochastic %K in blue (#2962FF)
Stochastic %D in orange (#FF6D00)
Clear overbought/oversold zones for both indicators
Gradient fills for extreme RSI zones
Trading Signals:
Triangle markers for Stochastic crossovers
Green triangles for bullish %K crossing above %D
Red triangles for bearish %K crossing below %D
Built-in alert conditions for both crossover types
Interpretation
This unique fusion creates a "Stochastic RSI" that provides:
The mean-reversion properties of RSI
The momentum sensitivity of Stochastic
Earlier signals than traditional RSI alone
The indicator is particularly useful for identifying:
Overbought/oversold conditions
Potential trend reversals
Momentum shifts in ranging markets
The gradient fills provide visual emphasis on extreme conditions, while the crossover signals help identify potential entry/exit points.
Financial Change % Table - ToluFinancial Change % Table which includes revenue , operating profit and earning per share . compares the financial data with previous quarter QoQ and previous year YoY . and shows the change in %.
LevelUp^ Power Earnings Gap & EPS Acceleration ScreenerCustomizable Pine Screener to scan for stocks with a Power Earnings Gap as well as accelerating earnings and sales. Historical analysis shows that strong earnings often trigger institutional buying, pushing prices higher and increasing the likelihood of sustained price gains.
🔹 Power Earnings Gap (PEG)
A power earnings gap refers to a significant price gap up after an earnings report, reflecting a rapid shift in investor sentiment and perceived value. It’s called "power" because the move is often sharp, sustained, and accompanied by high trading volume, signaling a potential trend continuation or reversal.
A gap is the difference between the closing price of a stock on the day before an earnings report and the opening price the next trading day. A power earnings gap typically exceeds a certain threshold (e.g., 8-10% or more) and is driven by earnings surprises, guidance changes, or other significant news.
Strong earnings beats, misses, or forward-looking guidance can trigger these gaps. For example, a company reporting higher-than-expected profits or raising guidance might gap up, while a miss or weak outlook could cause a gap down.
The gap is often accompanied by above-average trading volume, confirming the move's strength. Power gaps often lead to sustained price movement in the direction of the gap (continuation) or signal a reversal if the gap fills quickly.
How Power Earnings Gap Be Helpful
▪ Power earnings gaps often indicate strong momentum. Traders can capitalize on this by entering trades in the direction of the gap (e.g., buying on a gap-up if the trend continues).
Example: If a stock gaps up 10% after a stellar earnings report and shows high volume, traders might buy, expecting further upside as momentum builds.
▪ Breakout Opportunities: A gap through key technical levels (e.g., resistance or support) can signal a breakout. Traders use these gaps to identify potential long-term trends.
Example: A stock breaking above a resistance level on a power earnings gap may continue to rally, offering a setup for swing or position traders.
▪ Volatility for Short-Term Trades: Earnings gaps create heightened volatility, ideal for day traders or scalpers. The large price swings allow for quick profits if timed correctly.
Example: A trader might use options (e.g., calls for a gap-up, puts for a gap-down) to leverage the volatility around earnings.
▪ Confirmation of Fundamental Strength/Weakness: A power earning gap often reflects a fundamental shift, e.g., strong earnings growth or a major business development. Traders can use this to align technical setups with fundamental catalysts.
Example: A gap-up after a company raises its full-year guidance might signal a long-term buying opportunity.
▪ Risk Management and Stop Losses: Gaps provide clear levels for setting stop-loss orders. For instance, traders might place stops at or below the gap up bar low to protect against a potential reversal.
Example: If a stock gaps up from $100 to $110 and intraday hits a low of $105, a trader might set a stop at $105 or lower to limit downside risk.
▪ Gap Fill Strategies:Some traders bet on gaps filling, i.e., the stock returning to its pre-gap price. If a power earnings gap seems overextended (e.g., due to market overreaction), contrarian traders might short a gap-up or buy a gap-down, anticipating a pullback.
Example: A stock gaps up 15% but lacks volume or follow-through; a trader might short it, expecting the price to retreat.
🔹 Earnings and Sales Acceleration
Earnings and sales acceleration refers to the rate of growth in a company's earnings over consecutive quarters. It highlights companies that are not only growing but doing so at an accelerating pace, signaling improving financial health and operational momentum. This metric is derived from earnings reports, which detail a company’s financial performance.
Key Concepts
▪ Earnings Acceleration: When a company’s earnings per share (EPS) growth rate increases over time (e.g., EPS growth of 10% in Q1, 15% in Q2, 20% in Q3). It indicates improving profitability, often due to cost efficiencies, margin expansion and strong demand.
▪ Sales Acceleration: When revenue growth rates increase over time (e.g., revenue growth of 5% in Q1, 8% in Q2, 12% in Q3). This reflects rising demand for products/services and operational efficiency.
▪ Relation to Earnings Reports: Acceleration is calculated by comparing sequential quarter-over-year growth rates in earnings and sales, often highlighted in earnings reports or analyst commentary. It’s a sign of fundamental strength when both metrics accelerate together.
How It’s Helpful to Traders
▪ Identify High-Potential Stocks: Stocks with accelerating earnings and sales often attract investor attention, as they signal a company is outperforming expectations and gaining market share. This can lead to sustained price appreciation.
Example: A tech company reporting 20% EPS growth and 15% sales growth quarter-over-quarter may see bullish price action as investors bet on continued momentum.
▪ Momentum Trading Opportunities: Acceleration often fuels stock price momentum, especially post-earnings. Traders can ride these trends using technical setups like breakouts or pullbacks.
Example: A stock breaking above a key resistance level after reporting accelerating growth may be a buy signal for swing traders.
▪ Early Indicator of Breakouts: Companies with accelerating fundamentals are more likely to experience price breakouts, as institutional investors (e.g., hedge funds, mutual funds) pile in. Traders can use this to position early.
Example: A retailer with accelerating sales due to strong holiday demand might gap up post-earnings, offering a breakout trade.
▪ Confirmation of Fundamental Strength: Acceleration validates a company’s growth story, reducing the risk of investing in stocks with inconsistent performance. Traders can align technical trades with strong fundamentals.
Example: A biotech with accelerating sales from a new drug launch may sustain a rally, giving traders confidence in long positions.
▪ Volatility for Short-Term Trades: Earnings reports showing acceleration often lead to significant price gaps or volatility, creating opportunities for day traders or options traders.
Example: A trader might buy call options on a stock expected to report accelerating earnings, anticipating a sharp post-earnings move.
🔹 Power Earnings Gaps - Examples
🔹 Screening Features - Setting Your Search Criteria
Power Earnings Gap
▪ Search Range
How many bars back to search for Power Earnings Gaps, anywhere between 1 and 90 bars.
▪ Last Bar Only
Look only at the last bar for Power Earnings Gaps. This is useful when looking for PEGs when screening at the end of a trading day. Choosing this option, the Search Range will be ignored.
▪ Minimum Price % Gap Up From Prior Close
This is the minimum gap up percent change to be considered a Power Earnings Gap.
▪ Minimum Volume % Change Over Average
This is the minimum volume percent change, over the 50-day average volume, to be considered a Power Earnings Gap.
▪ Require Positive Surprise
Require a positive earnings surprise and the minimum percent change.
▪ Require Closing Range
To ensure the price action closed strong on the day, specify a preferred closing range as a percentage of the bar's daily range.
▪ Gap Up Bar
The gap up bar can be configured to require one of the following:
- Open Above Prior High - Ensures there is visible gap up from the prior bar.
- Low Above Prior High - Allows for intraday price action to go below the prior bar high.
- No Requirement
Earnings And Sales Acceleration
▪ Quarters of Acceleration
You can specify between 1 and 4 quarters of earnings and/or sales acceleration.
🔹 Installation And Usage
▪ Mark this indicator as a Favorite.
▪ Use the Pine Screener to search for stocks.
▪ Save the search results to a watchlist.
▪ View the watchlist in TradingView.
🔹 Note
▪ Risk of Reversals: Not all gaps sustain their direction. Over reactions can lead to gap fills.
▪ High Volatility: Earnings gaps can be unpredictable, requiring quick decision-making & discipline.
Change in State of Delivery It looks like you've shared a Pine Script indicator called "Change in State of Delivery" (CISD). This indicator appears to be designed to detect potential trend changes in the market using either a classic method or a liquidity sweep detection method.
Here's a breakdown of what this indicator does:
Detection Methods:
Classic mode: Looks for basic price action patterns
Liquidity Sweep mode: Identifies potential liquidity grabs using swing highs/lows
Key Features:
Draws horizontal lines at key levels where potential trend changes might occur
Labels these points with "CISD" (Change in State of Delivery)
Uses different colors for bullish (green) and bearish (red) signals
Can show liquidity sweeps (gray wicks)
Customizable Parameters:
Swing length (for Liquidity Sweep mode)
Minimum and maximum duration for valid signals
Color schemes
Text size for labels
Visual Elements:
Horizontal lines marking key levels
"CISD" labels at reversal points
Arrow markers (▲/▼) at recent highs/lows
Wicks showing liquidity sweeps in sweep mode
The indicator seems to be tracking price action to identify when the market might be changing its "delivery" or trend state, potentially useful for spotting reversals or continuation patterns.
MARKET STRUCTURE - LEMAZZEThis combined indicator includes:
CBDR Range Component:
Time-based range detection with customizable hours
Multiple projection levels above and below the range
Timezone adjustment capability
Visual styling options
Market Structure Component:
Detection of Break of Structure (BoS) and Change of Character (ChoCh) points
Customizable pivot period for order blocks
Multiple line styles and colors for bullish/bearish structures
Swing Highs/Lows Component:
Classic swing point detection
Customizable swing length
Line style and color options
All components are organized with their inputs in separate groups for easy configuration. The indicator maintains all the original functionality while providing a comprehensive market structure analysis tool.
Each component can be enabled/disabled and configured independently through the input settings. The visual elements are designed to work together without clutter, with distinct colors and styles for each type of analysis.
Risk Appetite IndexWhat This Indicator Does
The Risk Appetite Index measures market participants' willingness to take risk by analyzing multiple market factors. This indicator attempts to provide insights into overall market sentiment by combining information from different market segments into a single composite measure.
How It Works
The indicator uses a multi-factor approach that examines various aspects of market behavior including equity market conditions, interest rate environments, credit markets, volatility patterns, and other relevant market data. These factors are processed and combined to create a composite reading on a 0-100 scale.
Theoretical Foundation
The methodology is grounded in established financial theories including Modern Portfolio Theory principles for risk assessment, behavioral finance concepts regarding market sentiment cycles, and factor investing approaches for multi-dimensional market analysis. The indicator incorporates insights from academic research on market microstructure, volatility clustering phenomena, and cross-asset correlation patterns during different market regimes.
The approach draws from research on fear and greed cycles in financial markets, term structure modeling, and credit risk assessment methodologies. Statistical techniques employed include robust normalization methods and composite index construction principles established in econometric literature.
The methodology employs statistical techniques to normalize the different market inputs and reduce the impact of extreme values. The final output aims to reflect the general level of risk appetite present in financial markets.
Signal Interpretation
Values above 60 may suggest higher risk appetite conditions in markets. Values below 30 may indicate lower risk appetite environments. The 30-60 range represents neutral or mixed conditions where market sentiment may be unclear.
The indicator includes threshold levels that may help identify potential changes in market conditions. However, like all technical indicators, these levels should be considered as potential reference points rather than definitive signals.
Research Context
The approach builds upon established sentiment measurement methodologies documented in financial literature, including studies on VIX-based fear indicators, credit spread analysis, yield curve interpretation, and cross-asset momentum research. The multi-factor design reflects principles from academic research on composite economic indicators and systematic risk assessment frameworks used by central banks and institutional investors.
The threshold-based signal generation follows established precedents in quantitative finance research regarding regime detection and market state classification methodologies documented in institutional portfolio management literature.
Key Features
Analytics Dashboard: Displays real-time information about current readings, market regime assessment, and signal quality indicators.
Visual Tools: Multiple color schemes and background options to help visualize current market conditions and trends.
Alert System: Optional alerts for threshold crossings and regime changes to help monitor market conditions.
Quality Assessment: Built-in filters attempt to distinguish between higher and lower confidence readings based on data quality and market conditions.
How to Use
This indicator is designed to be used on daily timeframes and displays in a separate panel below the main chart. It works best when used as part of a comprehensive market analysis approach rather than as a standalone trading tool.
The dashboard provides additional context about current readings and may help users understand the quality and reliability of current signals. Users should consider multiple factors and conduct their own analysis when making trading decisions.
Important Considerations
This indicator is designed for educational and analytical purposes. It does not guarantee profitable trading results and should not be used as the sole basis for trading decisions.
Market conditions can change rapidly and unpredictably. Past behavior of any indicator does not predict future market movements. All trading involves substantial risk and may not be suitable for all investors.
The indicator's effectiveness may vary across different market environments and conditions. Users should consider their own risk tolerance and investment objectives when using any analytical tool.
Data Limitations
The indicator relies on multiple external data sources and may be affected by data quality, market holidays, or limited trading hours. Performance may vary during unusual market conditions or structural changes in financial markets.
Like all quantitative models, this indicator has inherent limitations and may not capture all relevant market factors or unprecedented market events.
Intended Use
This indicator may be useful for traders and analysts seeking additional tools for market sentiment analysis. It is designed for those who want to incorporate multiple market factors into their decision-making process.
Academic Research Foundation
The development approach incorporates established research methodologies from quantitative finance literature. Key theoretical frameworks include:
Factor Models: Based on research into multi-factor asset pricing models and their application to portfolio construction and risk management practices developed in academic finance literature.
Behavioral Finance: Incorporates findings from behavioral economics research on market anomalies, investor psychology, and sentiment-driven market movements as documented in financial psychology studies.
Market Microstructure: Utilizes principles from market microstructure research regarding information flow, price discovery mechanisms, and cross-market relationships established in institutional finance literature.
Risk Management: Built upon established risk measurement frameworks including Value at Risk methodologies, stress testing approaches, and systematic risk assessment techniques documented in risk management research.
Econometric Methods: Employs statistical techniques based on time series analysis, robust estimation methods, and composite index construction principles established in econometric literature and central bank research methodologies.
The proprietary methodology combines various market inputs in an attempt to provide insights into overall risk appetite trends, though results may vary and should always be considered alongside other forms of analysis.
Risk Warnings
Past performance does not guarantee future results. All trading involves substantial risk of loss. This indicator does not eliminate market risk and should be used as part of a comprehensive trading plan. Market conditions can change rapidly and unexpectedly. No indicator is accurate in all market conditions.
Technical Requirements
Optimal use on daily charts with TradingView Pro or higher for real-time data access. Designed primarily for US equity market analysis during regular trading hours.
Note: This is a closed-source indicator with proprietary calculation methods designed to maintain effectiveness and provide users with a unique analytical tool.
PFA_Earnings Surprise %📌 Indicator Name: Earnings Surprise %
📖 Description:
The Earnings Surprise % indicator calculates and plots the difference between reported EPS (Earnings Per Share) and analyst consensus estimates, expressed as a percentage of the estimate. It helps traders and investors quickly gauge how much a company’s earnings have deviated from expectations on each earnings release date.
Earnings Surprise % — See how earnings stack up against expectations!
This simple yet powerful tool shows the percentage difference between reported EPS and analyst estimates directly on your chart. Positive surprises are plotted in green, negative surprises in red, so you can instantly spot earnings beats and misses. Great for combining with gap analysis, volume spikes, or technical setups around earnings dates. Works best on daily charts of stocks and ETFs with regular earnings reports.
