Fundamental Dashboard [Standalone]Overview
The Fundamental Strength Dashboard is a streamlined utility designed to evaluate the fundamental health of a stock directly on your chart. Instead of relying solely on price action, this indicator fetches real-time financial data to assess profitability, valuation, and financial stability.
It aggregates five core financial metrics into a single "Fundamental Score" (0-5) and displays a clear rating (Strong Buy, Buy, Neutral, or Weak/Sell) in a customizable dashboard table.
How It Works
The script analyzes the following 5 Key Fundamental Metrics. For a stock to receive a "point" for a specific metric, it must meet the criteria defined in your settings:
Net Income (Profitability): Checks if the company is actually profitable (Net Income > 0).
EPS (Earnings Per Share): Ensures the company has positive Earnings Per Share (TTM).
P/E Ratio (Valuation): Checks if the stock is valued reasonably compared to your maximum threshold (default: < 45).
Debt-to-Equity (Leverage): Analyzes financial risk. Lower is better (default: < 0.5).
ROE (Efficiency): Measures how effectively management uses equity to generate profit (default: > 15%).
The Scoring System
The indicator calculates a cumulative score based on how many of the above criteria are met:
Score 5/5 → STRONG BUY: The stock meets all profitability, valuation, and stability criteria.
Score 4/5 → BUY: The stock misses only one criterion but is otherwise fundamentally sound.
Score 0-3 → WEAK / SELL: The stock fails multiple fundamental checks (e.g., negative earnings, high debt, or overvaluation).
Features & Customization
Every trader has different risk appetites and sector preferences. You can fully customize the thresholds in the Settings menu:
Max P/E Threshold: Adjust this based on the sector (e.g., Tech stocks typically have higher P/Es than Utilities).
Min ROE %: Set your requirement for management efficiency.
Max Debt/Equity: Tighten or loosen leverage requirements.
Visuals: Change the table position (Top Right, Bottom Right, etc.) and color scheme to match your chart theme.
How to Use
Add the indicator to your chart.
Open the Settings (Gear icon).
Adjust the Dynamic Thresholds to fit the sector you are trading.
Look at the dashboard on the chart to see a snapshot of the stock's fundamental health.
Disclaimer
This script is for educational and informational purposes only. It relies on third-party financial data provided by TradingView, which may occasionally be missing or delayed. Always do your own research (DYOR) before making investment decisions.
Educational
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.
Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading.
Technical Composition, Calculation, Key Components & Features
📌 Kijun Sen (基準線) – Structural Trend Baseline
Calculated as the midpoint between the highest high and lowest low over a user-defined period.
Represents market equilibrium and structural balance rather than short-term momentum.
Naturally adapts to expanding and contracting price ranges.
Provides a stable baseline for regime detection and volatility validation.
Acts as the anchor for deviation bands and persistent trend-state logic.
Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation.
📌 Volatility Adjustment – Standard Deviation Bands
Standard deviation is calculated over a configurable lookback to measure current price dispersion.
Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
Band width expands during volatility surges and contracts during consolidation.
Creates proportional, volatility-aware thresholds instead of static offsets.
Visually represents market energy through expanding and compressing channels.
These adaptive bands ensure that trend signals only occur when volatility supports directional movement.
📌 Trend Signal & Regime Calculation
Bullish Trend is confirmed when price closes above the upper deviation band.
Bearish Trend is confirmed when price closes below the lower deviation band.
Once established, the trend state persists until an opposing volatility break occurs.
This persistence reduces whipsaws and improves regime stability.
Trend state is reinforced with color-coded lines, envelopes, and background shading.
This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.
How It Works in Trading
✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
✅ Noise Suppression – Filters low-energy price movement within volatility envelopes.
✅ Regime Persistence – Maintains trend state until statistical invalidation.
✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance.
Visual Representation
Trend signals are displayed directly on price using both line and background context:
🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
Semi-transparent band fill visualizes volatility expansion and compression.
Buy and Sell labels appear only on confirmed regime transitions.
The lower panel includes:
Strategy equity curve based on trend exposure.
Buy & Hold equity for performance comparison.
Background regime shading synchronized with trend state.
Features and User Inputs
The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:
Kijun Sen Length – Controls structural trend sensitivity.
Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
Backtesting & Date Filters – Define evaluation periods and starting conditions.
Display Options – Toggle labels, equity curves, and background shading.
Color Customization – Fully configurable buy/sell colors for trends and equity curves.
These controls allow users to balance responsiveness, stability, and clarity without overfitting.
Practical Applications
The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.
Primary Trend Filtering – Identify and stay aligned with dominant market direction.
Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
Risk-Managed Exposure – Avoid chop during compression and transitional phases.
Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.
This framework bridges classical Ichimoku structure with modern statistical validation.
Conclusion
The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.
Rather than attempting to predict price, it focuses on confirming when trends are statistically justified .
Who should use Kijun Sen Standard Deviation:
📊 Trend-Following Traders – Stay aligned with dominant market structure.
⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions.
🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.
Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.
Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
Ram Key Levels (Daily Horizontals) + Day SeparatorsRam Key Levels (Daily Horizontals) + Day Separators
Trinity Swing Trading Buy and SellThis is a simple little Heiken Ashi MA + ADX & MACD trend-following trading system designed to capture medium- to longer-term moves while filtering out noise and weak trends. It combines modified Heiken Ashi candles (for smoother trend detection) with a moving average alignment, plus optional confirmation from ADX (trend strength) and MACD (momentum).
In practice, the indicator works well on higher timeframes (e.g., 1H, 4H, daily) where trends are more sustained. It performs best in trending markets and naturally avoids choppy/range-bound conditions thanks to the ADX filter (requiring ADX > 20 by default). All key components are fully customizable, so you can disable filters or adjust parameters to suit different instruments (stocks, forex, crypto, futures).
Default settings are:
16 HMA
8,17,9 MACD
15,20 ADX
Recommend to add an additional longer term EMA like 200 for long term trend confirmation.
Adjust inputs in the settings panel as needed:
Toggle MA, ADX, or MACD filters on/off.
Change MA type/length, MACD parameters, ADX threshold
- Use the visual blue diamonds (below bars) for long entries and purple diamonds (above bars) for short entries as confirmation of signals.
- Set alerts on the "Buy Alert" and "Sell Alert" conditions if you want real-time notifications.
This setup gives you a complete, rule-based system that avoids emotional trading and repetitive entries, making it suitable for both backtesting and live trading with proper risk management.
Low-High Waves for NeowaveOpen your chart at daily and hide the symbol graphic. Now you can see the waves. It’s including limited data sorry for this but I’m not a programmer and TradingView have limitations.
Fair Value Gap [Tradeuminati]Fair Value Gap
Fair Value Gap is a clean and rule-based Fair Value Gap indicator for TradingView, designed to display only valid and confirmed Fair Value Gaps (FVGs) and Inverted Fair Value Gaps (iFVGs).
The indicator is built on a strict 3-candle FVG definition and operates exclusively on candle close, ensuring no repainting and no premature signals.
🔹 Key Features
Valid Fair Value Gaps (FVG)
- Detects bullish and bearish Fair Value Gaps using a precise 3-candle structure
- FVGs are only plotted after the confirming candle has closed
- A Fair Value Gap remains visible only as long as it is valid
- Once price closes beyond the FVG, it is removed or converted
Inverted Fair Value Gaps (iFVG)
- When a valid FVG is invalidated by a candle close, it can be converted into an iFVG
- iFVGs retain the original price range and structure
- Only valid iFVGs are displayed
- As soon as price closes through an iFVG, it is automatically removed
Clean & Controlled Visualization
- Only the last N active FVGs are displayed (bullish + bearish combined)
- Only the last N valid iFVGs are shown
- Boxes automatically extend to the current price + configurable bars
- Labels are dynamically positioned at the right edge of each zone
🔹 Technical Notes
- No repainting
- No intrabar signals
- Close-based validation only
- Works on all markets and timeframes
- Lightweight and performance-friendly
⚠️ Disclaimer
This indicator is for technical analysis purposes only and does not constitute trading or investment advice.
Futures Tick DashboardThis is a simple dashboard that shows the novice future trade the necessary info about the info about the Micro on mini futures contract they are thinking about trading
Resumo de Velas (120) ROMANOCounting the last 120 candles with volume data
Count of positive candles + count of negative candles
Ratio between negative and positive candles
If the ratio is greater than 1.20, enter a sell position
If the ratio is less than 0.80, enter a buy position
Use on a high timeframe chart
------------------------
Contagem das ultimas 120 velas com volumes
Contagem velas positivas + contagem velas negativas
Razão entre negativas e positivas
Se a razão é maior que 1.20 entra em venda
Se a razão é menor que 0.80 entra em compra
Uso no grafico de alto timeframe
SMT Divergence [Kodexius]SMT Divergence is a correlation-based divergence detector built around the Smart Money Technique concept: when two normally correlated instruments should be making similar swing progress, but one prints a new extreme while the other fails to confirm it. This “disagreement” can be a valuable contextual signal around liquidity runs, distribution phases, and potential reversal or continuation points.
The script compares the chart symbol (primary) with a user-selected comparison symbol (for example BTC vs ETH, ES vs NQ, EUR/USD vs GBP/USD) and automatically scans both instruments for confirmed swing highs and swing lows using pivot logic. Once swings are established, it checks for classic SMT conditions:
Primary makes a new swing extreme while the comparison symbol forms a non-confirming swing .
To support a wider range of markets, the indicator includes an Inverse Correlation option for pairs that typically move opposite to each other (for example DXY vs EUR/USD). With this enabled, the divergence rules are logically flipped so that the script still detects “non-confirmation” in a way that is consistent with the pair’s relationship.
The indicator is designed to be readable and actionable. It can draw divergence labels directly on the main chart, connect the relevant swing points with lines, show a compact information table with the last signal and settings, and optionally render the comparison symbol as a mini candle chart in the indicator pane for quick visual validation.
🔹 Features
🔸 Two-Symbol SMT Analysis (Primary vs Compare)
Select any comparison symbol to evaluate correlation structure and divergence. The script fetches the comparison OHLC data using the current chart timeframe to keep both series aligned for analysis.
🔸 Inverse Correlation Mode
For inversely correlated pairs, enable “Inverse Correlation” so the script interprets confirmation appropriately (for example, a higher low on the comparison instrument might be expected to correspond to a lower low on the primary, depending on the relationship). This helps avoid false conclusions when the pair naturally moves opposite.
🔸 Pivot-Based Swing with Adjustable Sensitivity
Swings are detected using confirmed pivots (left bars and right bars). This provides cleaner structural swing points compared with raw candle-to-candle comparisons, and it lets you control sensitivity for different market conditions and timeframes. The script also limits stored swing history to keep performance stable.
🔸 Flexible Detection Mode: Time Matched or Independent Swings
You can choose how swings are paired across instruments:
Time Matched searches for a comparison swing that occurred at the same pivot time as the primary swing.
Independent Swings compares each symbol’s own last two swings without requiring an exact time match.
🔸 Range Control and Noise Filtering
To reduce weak or irrelevant signals:
“Max Bars Between Swings” ensures the two swings being compared are close enough in structure to be meaningful.
“Min Price Diff (%)” can require a minimum percentage change between the primary’s last two swing prices to confirm the move is significant.
🔸 Clear Visual Output with Tooltips
When a divergence is detected, the script can print a label (“SMT”) with bullish or bearish styling and a tooltip that includes the symbol pair and the primary swing price for quick context.
🔸 Divergence Lines for Context
Optional lines connect the relevant swing points, making it easier to see the exact structure that triggered the signal. One line can be drawn on the main chart and another in the indicator pane for the comparison series.
🔸 Info Table (At a Glance)
A compact table can display the active symbols, correlation mode, total divergences stored, and the most recent signal type.
🔸 Alerts Included
Built-in alert conditions are provided for bullish SMT, bearish SMT, and any SMT event so you can automate notifications without editing the code.
🔸 Optional Comparison Candle Panel
If enabled, the indicator can plot the comparison symbol as candles in the indicator pane. This is useful for confirming whether the divergence is happening around major levels, consolidations, or impulsive legs on the secondary instrument.
🔹 Calculations
This section summarizes the core logic used by the script.
1. Data Synchronization (Comparison Symbol)
The comparison instrument is requested on the chart’s current timeframe so swing calculations are performed consistently:
=
request.security(compareSymbolInput, timeframe.period, )
This ensures pivots and swing times are derived from the same bar cadence as the primary chart.
2. Swing Detection via Confirmed Pivots
Swings are detected using pivot logic with user-defined left and right bars:
primaryPivotHigh = ta.pivothigh(high, pivotLeftBars, pivotRightBars)
primaryPivotLow = ta.pivotlow(low, pivotLeftBars, pivotRightBars)
Because pivots are confirmed only after the “right bars” have closed, the script stores each swing using an offset so the swing’s bar index and time reflect where the pivot actually occurred, not where it was confirmed.
3. Swing Storage and Retrieval
Both symbols maintain arrays of SwingPoint objects. Each new swing is pushed into the array, and older swings are dropped once the array exceeds the configured maximum. This makes the divergence engine predictable and prevents uncontrolled memory growth.
The script then retrieves the last and previous swing highs and lows (per symbol) to evaluate structure.
4. Matching Logic (Time Matched vs Independent)
When “Time Matched” is selected, the script searches the comparison swing array for a pivot that occurred at the exact same timestamp as the primary swing. When “Independent Swings” is selected, it simply uses the comparison symbol’s last two swings of the same type.
5. Bullish SMT Condition (LL vs HL)
A bullish SMT event is defined as:
Primary forms a lower low (last low < previous low)
Comparison forms a higher low (last low > previous low)
If inverse correlation is enabled, the comparison condition flips to maintain logical confirmation rules
The two primary swings must be within the configured bar distance window
Optional minimum percentage difference must be satisfied
A simple anti duplication rule prevents repeated triggers on the same structure
These checks are implemented directly in the bullish detection block.
6. Bearish SMT Condition (HH vs LH)
A bearish SMT event is defined as:
Primary forms a higher high (last high > previous high)
Comparison forms a lower high (last high < previous high)
Inverse correlation flips the comparison rule
Range checks, minimum difference filtering, and duplicate protection apply similarly
These checks are implemented in the bearish detection block.
7. Percentage Difference Filter
The optional “Min Price Diff (%)” filter measures the relative distance between the last two primary swing prices. This prevents very small structural changes from being treated as valid SMT signals.
priceDiffPerc = math.abs(lastSwing.price - prevSwing.price) / prevSwing.price * 100.0
The divergence condition is only allowed to trigger if this value exceeds the user defined threshold.
priceOk = priceDiffPerc >= minPriceDiff
This filter is especially useful on higher timeframes or during low volatility conditions, where micro structure noise can otherwise produce misleading signals.
8. Visualization and Output
When a divergence is confirmed, the script:
Stores the event in a divergence array (limited by “Max Divergences to Display”)
Draws a directional SMT label with a tooltip (optional)
Draws connecting lines using time based coordinates for clean alignment (optional)
It also updates an information table on the last bar only, and exposes alertconditions for automation workflows.
BTC Gann Harmonics Weighted + Phase + EMA OptimizedBTC Gann Harmonics Weighted + Phase + EMA Optimized
PCR Sentiment & Max Pain by Rakesh Sharma🎯 PCR + SENTIMENT + MAX PAIN INDICATOR
Track options market sentiment to catch reversals before they happen! See where smart money is positioning through Put-Call Ratio analysis.
✨ KEY FEATURES:
- PCR (Put-Call Ratio) with visual zones
- Market Sentiment Analysis (Bullish/Bearish/Neutral)
- Max Pain Level calculation (expiry day advantage)
- Automatic Buy/Sell signals at extreme levels
- Real-time dashboard with actionable insights
- Fear & Greed gauge
- Trading action recommendations
🎯 PERFECT FOR:
Nifty, Bank Nifty, Index Options - Intraday & Swing Trading
⚡ TRADING SIGNALS:
- PCR > 1.5 = Market oversold (Fear) → BUY signal
- PCR < 0.7 = Market overbought (Greed) → SELL signal
- Extreme levels trigger STRONG signals
- Contrarian indicator - Trade against the crowd!
💡 UNIQUE ADVANTAGE:
Combines options sentiment with price action for high-probability reversals. Know when institutions are bullish or bearish!
Created by: Rakesh Sharma
UIA TrendCompass V1.0UIA TrendCompass v1.0 is a market structure interpretation tool designed to visualize trend states in real time.
The script identifies four structural states based on price behavior and trend continuity:
• T — Trend Start
• E — Trend Extension
• H — Structural High / Low
• X — Trend Exit / Reversal
This indicator is intended for market structure analysis and educational purposes only.
It does NOT provide trading signals, buy/sell recommendations, or investment advice.
All labels are generated based on historical price data and do not predict future market movements.
Users should combine this tool with their own analysis and risk management framework.
This script is provided "as is" with no guarantee of accuracy or performance.
ORB M15 Fibo din ORB EMA200 MTFTesting a new idea based on ORB m15. Still on testing, not worth it to translate it into English
Druckenmiller Alpha-Physics [Dual-Core]Stop trading in a vacuum. Start trading like a Macro Fund Manager.
The Druckenmiller Alpha-Physics engine is a professional-grade dashboard designed to solve the single biggest problem in trading: Context. Most traders buy a "dip" only to realize it was a crash, or sell a "rip" only to watch it fly higher.
This tool solves this by synthesizing Market Physics (Velocity & Acceleration) across two distinct timeframes (Weekly Macro & Daily Tactical) and filtering every signal through a Global Liquidity Shield.
It is engineered based on the trading philosophy of Stanley Druckenmiller: “I don’t care about the news. I care about the liquidity and the acceleration of the trend.”
How It Works (The Dual-Core Logic)
The engine runs 27 distinct sector assets through a dual-loop physics processor:
The Macro Core (Weekly): Analyzes the 18-month trend. Is the "Tide" coming in or going out?
The Tactical Core (Daily): Analyzes the 3-day price action. Is the "Wave" crashing or rising?
It then synthesizes these two data streams into a single Action Signal.
The Signals (How to Read)
The dashboard tells you exactly what to do based on the conflict between Macro and Micro:
🟢 BUY PULLBACK (The "Alpha" Trade):
Logic: Macro is RIPPING (Bullish) + Tactical is TOP/CRASH (Bearish).
Meaning: You are buying a long-term leader on a short-term discount.
🔵 STINK BID (The "Bottom" Trade):
Logic: Macro is TURNING UP + Tactical is CRASHING.
Meaning: The physics have shifted positive, but price is still dumping. Place limit orders -5% lower to catch the panic bottom.
🔴 SELL RIP (The "Trap" Trade):
Logic: Macro is TOPPING (Bearish) + Tactical is RIPPING (Bullish).
Meaning: The long-term trend is dead. Sell into this short-term rally immediately.
⚪ HOLD: All systems go. Sit on your hands and ride the trend.
The "Invisible" Liquidity Shield
The most dangerous time to buy is when the Fed is draining liquidity. This script monitors the 10-Year Treasury Yield (TNX) and VIX in real-time.
If Liquidity is OK (Navy Header): Signals are valid. Green means Go.
If Liquidity is TIGHT (Maroon Header): The entire dashboard enters "Defense Mode." Buy signals are tinted Maroon to warn you that you are fighting the Fed.
Included Universe (The "Ultimate" List)
Includes 27 institutional-grade tickers covering every corner of the market:
Growth: XLK, SMH, IGV, GRID, QTUM
Cyclical: JETS, XHB, KRE, XLI, XLF
Commodities: GDX, URA, XLE, XLB, TAN
Risk/Safety: IBIT, TLT, XLV, XLP
Note: This script uses dynamic request handling optimized for Pine Script v6. It is designed for Premium/Ultimate plans due to the high volume of data processing (54+ simultaneous streams).
krishnadeshmukh/NIFTY50 Micro Sentiment Part 1📘 Script Description: NIFTY50 Micro Sentiment — Part 1
This indicator tracks real-time micro sentiment across the top 25 weighted stocks of the NIFTY50 index using a volume-based distribution model.
🔍 How it works:
Scans last N bars (configurable) for each stock.
Divides each stock’s price range into equal bins.
Measures bullish vs bearish volume in each bin based on:
Candle Color (Close > Open) or
Close Near High (Close > Midpoint).
Assigns a sentiment value:
+1 → Bullish dominance
-1 → Bearish dominance
0 → Neutral
📊 Each stock's sentiment is weighted by its contribution to the index.
🧮 Displays:
Weighted Sentiment Score
Bullish / Bearish / Neutral Components
Updated every 5 bars with an easy-to-read table.
Use this to gauge underlying micro shifts in sentiment before broader market moves.
krishnadeshmukh/NIFTY50 Micro Sentiment Part 1📘 Script Description: NIFTY50 Micro Sentiment — Part 1
This indicator tracks real-time micro sentiment across the top 25 weighted stocks of the NIFTY50 index using a volume-based distribution model.
🔍 How it works:
Scans last N bars (configurable) for each stock.
Divides each stock’s price range into equal bins.
Measures bullish vs bearish volume in each bin based on:
Candle Color (Close > Open) or
Close Near High (Close > Midpoint).
Assigns a sentiment value:
+1 → Bullish dominance
-1 → Bearish dominance
0 → Neutral
📊 Each stock's sentiment is weighted by its contribution to the index.
🧮 Displays:
Weighted Sentiment Score
Bullish / Bearish / Neutral Components
Updated every 5 bars with an easy-to-read table.
Use this to gauge underlying micro shifts in sentiment before broader market moves.
krishnadeshmukh/NIFTY50 Micro Sentiment Part 2📘 Script Description: NIFTY50 Micro Sentiment — Part 2
This indicator continues the NIFTY50 Micro Sentiment model by analyzing the remaining 25 stocks (Rank 26–50 by index weight) of the NIFTY50.
🔍 Key Features:
Applies the same volume-bin methodology used in Part 1.
Sentiment detection based on:
Candle Color (default) or
*Close vs Midpoint of the candle range.
Stocks are weighted by their index influence.
Output is a clean sentiment table:
+ve / -ve / Neutral Volume Score
Weighted Sentiment Output
Use this in conjunction with Part 1 to analyze the entire NIFTY50 sentiment landscape.
📘 Script Description: NIFTY50 Combined Score
This script aggregates live sentiment data from both:
🧩 NIFTY50 Micro Sentiment — Part 1
🧩 NIFTY50 Micro Sentiment — Part 2
🚀 What it does:
Imports Score, +ve, -ve, and Neutral components from both scripts.
Combines them to produce:
✅ Total Weighted Sentiment
🟢 Bullish Weight
🔴 Bearish Weight
🟡 Neutral Component
📊 Outputs are shown via a middle-right sentiment table, updated every 5 bars.
Perfect for traders seeking a unified view of micro sentiment across the entire NIFTY50 ecosystem — in one glance.
Triple Supertrend + EMA CrossoverCustomized 3 supertrend and EMA crossover which is helpful for identification of the trend.
Adaptive Trend-Based Fib Extension + TrendlinesThis advanced analysis tool is designed to take the guesswork out of Fibonacci trading. By combining Adaptive Fibonacci Extensions with multi-method Pivot Detection, Dynamic Trendlines, and Horizontal Support/Resistance, this indicator provides a comprehensive roadmap for any market trend.
Learn volume trading - @pricevolumetraders
Key Features
Adaptive Fibonacci Engine: Unlike static tools, this indicator uses an ATR-based adaptive factor to adjust extension levels according to current market volatility.
Smart Trend Detection: Automatically identifies trend direction using EMA cross-overs or Higher High/Higher Low sequences to determine whether to plot Bullish or Bearish extensions.
Multi-Method Pivots: Choose from six different pivot detection methods, including Volume-Based, Fractal, ATR-Based, and Long Wick detection, to suit your specific trading style.
Automated Trendlines & S/R: High-probability diagonal trendlines and horizontal S/R levels are drawn only when they meet a minimum "touch" requirement and volume confirmation.
Institutional Zones: Highlights the "Golden Zone" between the 127.2% and 161.8% extension levels, where trends often reach exhaustion or find major targets.
How to Use
Trend Alignment: Use the built-in Dashboard to quickly identify the current trend (Bull/Bear) and RSI momentum.
The 3-Point Setup: The indicator automatically finds Point 1 (Trend Start), Point 2 (Impulse End), and Point 3 (Retracement/Last Touch) to project future price targets.
Entry Confirmation: Look for price action near the 61.8% or 78.6% Retracement levels for high-probability entries in the direction of the trend.
Targeting: Use the extension levels (100%, 127.2%, 161.8%) as your primary Take Profit zones.
Confluence: The strongest setups occur when a Fibonacci level aligns perfectly with a Horizontal S/R line or a Diagonal Trendline.
Technical Settings
Pivot Settings: Adjust 'Left' and 'Right' bars to change the sensitivity of swing high/low detection.
Fib Timeframe: You can anchor Fibonacci levels to a higher timeframe (e.g., 1-hour levels) while trading on a lower timeframe (e.g., 5-minute).
Volume Multiplier: Filter for horizontal levels that were formed with significant institutional volume.
Disclaimer: Trading involves significant risk. This tool is for educational and analytical purposes only and should be used in conjunction with a complete trading plan.
First Presented FVGSummary: First Presented FVG Indicator
This is a Pine Script v6 TradingView indicator that identifies and visualizes the first Fair Value Gap (FVG) that forms within configurable time windows during a trading session.
What it Does
1. Detects FVGs : Uses the classic 3-candle FVG definition:
- Bullish FVG: When low > high (gap up)
- Bearish FVG: When high < low (gap down)
2. "First Presented" Logic : For each configured time slot, it captures only the first qualifying FVG that forms—subsequent FVGs in that window are ignored.
3. Visual Display :
- Draws a colored box spanning from detection time to session end
- Optional text label showing detection time (e.g., "9:38 Tue FP FVG")
- Optional grade lines at 25%, 50%, and 75% levels within the FVG
Key Configuration
Setting Description
Timeframe Only works on 5-minute charts or lower
Timezone IANA timezone for session times (default: America/New_York)
Session Futures trading hours (default: 1800-1715)
Min FVG Size Minimum gap size in ticks to qualify
4 Time Slots Each with enable toggle, time window, and color
Default Time Slots
Slot 1 (enabled): 09:30-10:30 — lime green
Slot 2 (enabled): 13:30-14:30 — blue
Slot 3 (disabled): 13:00-13:30 — teal
Slot 4 (disabled): 14:15-14:45 — fuchsia
Technical Features
Handles cross-midnight sessions correctly
Resets all drawings at each new session
Skips the first bar of each window to ensure valid 3-candle lookback
Clamps slot windows to session boundaries
GME Warrant Tracker [theUltimator5]The GME Warrant Tracker was designed to be used for GME warrants tracking. The theory behind this indicator is that warrants are priced similarly to options and generally follow the same Greeks. With that assumption, we can break down the price of the warrants by using known Greeks to estimate either the theoretical price, or even estimate Implied Volatility (IV).
The base settings for this indicator plot the calculated IV, the theoretical price (there are multiple methods of calculation which I will discuss later) and the current warrant price.
You can toggle on or off all of these plots to display only what you want to track.
For example, you can simply track the difference between the theoretical price and the current price to see if warrants are trading at a premium or a discount vs what the indicator calculates it to be.
Calculating implied volatility is extremely difficult and must be approximated.
The theoretical warrant price produced by this indicator depends primarily on the volatility input (σ) used in the Black–Scholes pricing model.
This script supports five distinct methods for approximating σ, each extracting different information from the market.
1) Close-to-Close Historical Volatility
Close-to-Close computes the standard deviation of daily close-to-close returns and uses a lookback window scaled to time-to-expiry. As the expiration approaches, the lookback window tightens, giving a more responsive volatility approximation relative to time-to-expiry.
This option produces conservative approximations for volatility, and may lag actual volatility intraday.
2) Parkinson High-Low Volatility
Parkinson High-Low volatility uses daily high and low prices to calculate intraday trading range for a more responsive estimation to volatility. It ignores opening and close gaps, so overnight volatility is not accounted for.
This option produces higher theoretical volatility during choppy price action and can over estimate actual volatility.
3) Garman–Klass Volatility
Garman–Klass volatility is a way to estimate how much price is fluctuating by using the open, high, low, and close for each period. Because it draws on multiple intraperiod price points (not just the range or close-to-close moves), it typically produces a tighter, more informative volatility estimate than simpler approaches. It’s often most helpful when gaps occur and when the open and close carry meaningful information about the session’s trading.
4)Yang–Zhang Volatility
The Yang–Zhang volatility estimator is designed to account for both opening jumps and price drift. It estimates volatility by combining overnight (close-to-open) variance, intraday (open-to-close) variance, and a weighted Rogers–Satchell component using OHLC data, often yielding a more robust measure than simpler close-to-close style estimators.
5) Option price
By default, the indicator uses the call option strike dated closest to the warrant expiration date. Since the Greeks for both the warrants and the
options are assumed to be equivalent with a minor difference in theta (time-to-expiry), the theoretical price of the warrants closely matches the trade price of the call strike chosen.
There is a table that can be enabled (off by default because it is large and fills entire screen on mobile) which shows all the configuration settings and Greeks.
You can also manually adjust the "dilution" factor for the warrants, which shifts the number of active warrants and moves the count into the shares outstanding for the underlying (GME). The reason for this is that as warrants get exercised, the total quantity of warrants in circulation decreases and the the total quantity of shares outstanding increases.
Since this indicator was built around the single warrant, ticker NYSE: GME/W, it is only meant to be used with NYSE:GME. Any other ticker will not work properly with this indicator.
A program written by a beginner# TXF Choppy Market Detector (Whipsaw Filter)
## Introduction
This project is a technical indicator developed in **Pine Script v5**, specifically optimized for **Taiwan Index Futures (TXF)** intraday trading.
The TXF market is known for its frequent periods of low-volatility consolidation following sharp moves, often resulting in "whipsaws" (double-loss scenarios for trend followers). This script utilizes **volatility analysis** and **trend efficiency metrics** to filter out noise and detect potential "Stop Hunting" or "Liquidity Sweep" setups within range-bound markets.
## Methodology & Algorithms
The strategy operates on the principle of **Mean Reversion**, combining two core components:
### 1. Market Regime Filter: Choppiness Index (CHOP)
We use the Choppiness Index (originally developed by E.W. Dreiss) to determine if the market is trending or consolidating based on **Fractal Dimension** theory.
* **Logic**:
The index ranges from 0 to 100. Higher values indicate low trend efficiency (consolidation), while lower values indicate strong directional trends.
* **Condition**: `CHOP > Threshold` (Default: 50).
* **Application**: When this condition is met, the background turns **gray**, signaling a "No-Trade Zone" for trend strategies and activating the Mean Reversion logic.
### 2. Whipsaw Detection: Bollinger Bands
Bollinger Bands are used to define the dynamic statistical extremities of price action.
* **Logic**:
We identify **Fakeouts** (False Breakouts) that occur specifically during the choppy regime identified above. This is often where institutional traders hunt for liquidity (stops) before reversing the price.
#### Signal Algorithms (Pseudocode)
**A. Bull Trap (Washout High)**
A false upside breakout designed to trap long traders.
```pine
Condition:
1. Is_Choppy == true (Market is sideways)
2. High > Upper_Bollinger_Band (Price pierces the upper band)
3. Close < Upper_Bollinger_Band (Price fails to hold and closes back inside)
History Trading SessionsThis indicator helps visually structure the trading day by highlighting custom time zones on the chart.
It is designed for historical analysis, trading discipline, and clear separation between analysis time, active trading, and no-trade periods.
Recommended to use on 4h and below time frames.
