Smart Money Trap Radar ProSmart Money Trap Radar Pro is a market context and behavior classification indicator designed to distinguish between:
Liquidity-driven stop hunts (false breakouts / traps)
Genuine price acceptance driven by professional participation.
This script does not generate buy or sell signals. Instead, it classifies each candle into one of three states:
TRAP – liquidity taken but value rejected
EXECUTION – price accepted after volatility & volume confirmation
NEUTRAL – no professional activity detected
The goal is to help traders avoid entering during manipulation and focus only on periods where price shows structural commitment.
How the indicator works (core logic)
The script combines three independent market dimensions into a single state engine:
1. Liquidity Displacement Detection
The script identifies potential stop-hunts by detecting:
breaks above recent swing highs
or breaks below recent swing lows
followed by failure to hold those levels on the same candle.
This detects situations where price moves to collect orders but does not sustain acceptance.
Logic used:
Highest / lowest price over a configurable lookback window
Immediate rejection via candle close
This produces the TRAP state.
2. Value Acceptance Engine (volatility-normalized)
To avoid random noise, execution is confirmed only when price:
remains within a volatility-adjusted acceptance band (ATR based)
shows above-average participation (volume OR strong real-body expansion)
demonstrates directional stability This prevents labeling small candles or low-liquidity movement as professional activity.
This produces the EXECUTION state.
3. Trend Context Filter
A dual EMA structure (20 / 50) is used only as a context filter, not as a signal generator.
Execution states are allowed only when:
price aligns with short-term structural direction
This avoids classifying counter-trend noise as professional execution.
How the components interact
The indicator operates as a finite state engine:
1.First checks for liquidity sweep → possible TRAP
2.If no trap exists, checks for value acceptance conditions
3.Applies trend alignment as a soft filter
4.Outputs one of three states per candle:
TRAP
EXECUTION
NEUTRAL This interaction is what makes the script different from simply plotting multiple indicators.
Dashboard interpretation
The dashboard summarizes:
•Trading Mode (affects volatility & liquidity sensitivity)
•Risk Profile (affects acceptance thresholds)
•Market State (Trap / Execution / Neutral)
•Liquidity condition
•Professional bias
These values are derived from the same state engine and are not separate indicators.
How to use
Recommended usage:
•Avoid opening new trades during TRAP states
•Focus on trade planning during EXECUTION states
•Remain inactive during NEUTRAL periods
Best used with:
•market structure
•higher timeframe bias
•your own entry model
What this script is NOT
•Not a buy/sell signal generator
•Not a scalping system
•Not a strategy or automated trading system
•Not a repainting indicator
Limitations
•Uses historical swing levels for liquidity detection
•ATR-based normalization may lag during sudden volatility regime changes
•Works best on liquid instruments (indices, FX majors, large-cap stocks)
Intended audience
Discretionary traders who:
•use price action
•study market structure
•want to filter manipulation vs participation
Disclaimer
•This indicator is provided for educational and informational purposes only.
•It does not constitute financial advice, investment recommendations, or trade signals. The script does not provide buy or sell instructions and should not be used as a standalone trading system.
•All trading involves risk. Users are solely responsible for their trading decisions, risk management, and compliance with local regulations.
Analysis
US Stock Indexes Fundamental and Technical AnalysisThis indicator provides, real-time fundamental and technical analysis for the US stock market. It can be used for S&P 500 (SPX), NASDAQ 100 (NDX), Dow Jones (DJI), and the Russell 2000 (RUT).
Unlike standard lagging indicators, this tool combines Macro Data with technicals to forecast potential market shifts and identify trend strength.
IcebergCryptoX - Week Data Gap📊 BTC WEEKEND DATA COLLECTION
This indicator analyzes Bitcoin movements during weekends when traditional US markets are closed.
🎯 DATA COLLECTED:
- Gap from Friday close → Monday open (%)
- Maximum upward/downward movements during the weekend
- Total weekend range
- Mean reversion rate (return to Friday closing price)
- Movement direction (positive/negative/neutral)
- Historical records (biggest gaps and ranges)
📈 FEATURES:
✓ Colored zones to visually identify weekends
✓ Detailed labels on each weekend with key metrics
✓ Real-time statistics table
✓ Tracking of extremes and averages
✓ 100% data collection (no trading signals)
⚙️ PARAMETERS:
- Display weekend zones (on/off)
- Display labels (on/off)
- Statistics table (on/off)
- Significant movement threshold (customizable)
📉 USAGE:
Ideal for analyzing BTC volatility patterns outside US trading hours and identifying recurring opportunities.
Recommended timeframe: 15min to 1H
Adaptive Momentum Contextdaptive Momentum Context (AMC)
Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way.
This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias.
Concept Overview
AMC is built around three core ideas:
Higher Timeframe Context (Bias)
Adaptive Market Rhythm
Momentum Behavior within Context
These components are combined to provide a clearer view of when momentum aligns with the broader market structure.
Higher Timeframe Bias
The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe.
When higher timeframe price is above its average, the background is shaded green.
When it is below, the background is shaded red.
This background does not generate signals.
Its purpose is to define directional context and reduce decision-making against dominant market conditions.
Adaptive Market Rhythm
Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility.
When volatility expands, the smoothing period increases.
When volatility contracts, the smoothing period shortens.
Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula.
This ensures:
No repainting
No future data access
Full Pine Script v6 compliance
The adaptive line represents the current market rhythm, not a trend guarantee.
Momentum Behavior
Momentum is derived from changes in the adaptive rhythm rather than raw price.
Small visual markers appear when:
Momentum accelerates in the direction of the higher timeframe bias
Momentum decelerates against that bias
These markers are contextual cues, not standalone trade signals.
How to Use
AMC is best used as a context and filtering tool, not as a mechanical entry system.
Possible use cases:
Filtering lower-timeframe entries
Avoiding trades against higher-timeframe structure
Visualizing momentum shifts during pullbacks or continuations
Users are encouraged to combine this indicator with their own risk management and execution rules.
Important Notes
This indicator does not provide performance guarantees.
Past behavior does not imply future results.
No lookahead, no repainting, or non-standard chart types are used.
Default settings are intended for general use and may require adjustment depending on market and timeframe.
Position Management Intelligence ProPosition Management Intelligence Pro is a post-entry position management indicator designed to help traders evaluate the quality and risk of an open trade using a structured, rule-based state engine.
This script does not generate buy or sell entries. It analyzes price behavior after entry to classify the trade environment into one of five management states:
HOLD
TRIM
MOMENTUM FADING
RISK RISING
EXIT RISK
Core Concepts Used
The indicator combines four market dimensions:
1. Momentum Quality
Measured using:
Direction of a fast EMA (20)
Price position relative to the fast EMA
Logic:
Rising EMA + price above EMA → positive momentum
Falling EMA + price below EMA → negative momentum
This avoids using oscillators and instead focuses on trend structure.
2. Market Participation (Volume)
Participation is evaluated by comparing current volume to a 20-period volume average:
Strong participation = volume > 1.3 × average
Weak participation = volume < configurable fraction of average
This helps distinguish healthy continuation from low-commitment moves.
3. Volatility Expansion (Risk Detection)
ATR (14) is compared to its own moving average:
Volatility spike is detected when current ATR exceeds its average by a multiplier depending on trading mode (Intraday / Swing / Positional)
This highlights environments where risk is increasing even if price direction has not yet reversed.
4. Effort vs Result (Distribution Risk)
A classical Wyckoff-style concept:
High volume
Small price change relative to ATR
This condition signals potential absorption or distribution, indicating that large participants may be exiting into strength.
State Engine Logic (Simplified)
The script uses deterministic rules to classify each bar:
EXIT RISK → Effort-vs-result condition detected
RISK RISING → Volatility expansion detected
TRIM → Negative momentum + weak participation
MOMENTUM FADING → Negative momentum only
HOLD → Positive momentum with strong participation
Each state is calculated on bar close and does not repaint.
Trading Modes & Risk Profiles
The indicator allows users to adapt the behavior of the risk engine using two configuration layers:
Trading Modes
These adjust how sensitive the system is to volatility expansion based on the intended holding period:
Intraday
Uses lower ATR thresholds
Detects volatility expansion earlier
Designed for short-term trades where risk changes quickly
Swing
Balanced volatility sensitivity
Default mode
Suitable for multi-day trades
Positional
Uses higher ATR thresholds
Filters out short-term noise
Designed for longer holding periods and wider price swings This affects how aggressively the script flags the RISK RISING state.
Risk Profiles
Risk profiles adjust how the script interprets market participation (volume weakness):
Aggressive
Tolerates lower volume before flagging weakness
Produces fewer TRIM / warning states
Balanced
Neutral sensitivity
Default setting
Conservative
Flags weak participation earlier
Produces earlier warnings during trend deterioration This influences the detection of momentum weakening and trimming conditions.
Dashboard & Confidence Metric
The dashboard summarizes:
Trading mode
Risk profile
Current state
State duration
A perception-based “confidence” score
The confidence score is not predictive and not a probability. It is a normalized representation of how favorable the current trade environment is based on the above factors.
Intended Use
This indicator is designed to be applied after entering a trade to:
Detect weakening trends
Identify increasing risk
Highlight distribution conditions
Support partial exits and risk reduction decisions
It is not a signal generator and should be used alongside the trader’s own entry strategy.
Disclaimer
This script is for educational and analytical purposes only and does not constitute financial advice.
Level Targeting v3 (MTF)Level Targeting v3 (MTF)
A clean, volume-driven target zone indicator designed to reveal where price is aiming, not just where it has been.
Built around high-effort volume events, Level Targeting highlights structurally important price zones and projects them across timeframes with calm, institutional-style visuals.
Focused. Non-repainting. Designed for clarity over noise.
✨
Level Targeting v3 (MTF) — Release Notes
What’s new in v3
This update introduces a major architectural and visual upgrade focused on multi-timeframe clarity, stability, and professional chart aesthetics.
Key improvements
• Multi-Timeframe (MTF) support
Target zones can now be calculated from a higher timeframe while displayed on a lower one, allowing traders to see where price is aiming, not just where it has been.
• Robust rendering engine
All drawing logic has been hardened against bar-0, empty arrays, and desynchronization issues for maximum runtime stability.
• Clean, institutional-style visuals
Zones are designed to remain readable without clutter, emphasizing structure over noise.
• Strength-based visibility filtering
Only zones meeting minimum strength criteria are highlighted, keeping the chart focused and intentional.
• Improved zone persistence logic
Zones evolve organically with volume-based effort events rather than repainting aggressively.
• Optimized performance
Efficient array management ensures smooth operation even on long histories and lower timeframes.
Design philosophy
This indicator is built to support decision-making, not distract from it.
Zones are meant to feel structural — calm, confident, and precise.
Notes
• After major visual or timeframe changes, re-adding the indicator may be required to fully resync graphic objects with the price scale (TradingView behavior).
• Best results are achieved when selecting neighboring timeframes (e.g., 15m ↔ 1H, 1H ↔ 4H).
Volume Channel Flow [ChartPrime]⯁ OVERVIEW — Volume Channel Flow
The Volume Channel Flow indicator dynamically tracks evolving trend channels while simultaneously analyzing volume distribution within each channel segment.
By combining adaptive volatility-based channel boundaries with real-time volume profiling, the tool highlights directional bias, structural breakouts, and zones where buy/sell pressure is concentrated.
This makes it a powerful hybrid of a trend-tracking system and a miniature volume-profile engine that updates live as the market moves.
⯁ CONCEPTS
Dynamic Volatility Channel:
Upper and lower channel levels are continuously recalculated using ATR. These levels shift only when price breaks outside the previous channel, signaling a trend transition.
Channel Segmentation:
When a channel shift occurs, the previous segment is closed and visually plotted as its own range — allowing traders to inspect each discrete “flow phase” of the market.
Embedded Volume Profile:
Inside each channel segment, the indicator builds a mini volume histogram using user-defined binning. This creates a quick visual read of how volume was distributed within that price range.
Point of Control (PoC):
The price level with the highest traded volume inside each completed segment is detected and plotted as a dashed horizontal PoC line.
Flow Bias (Bullish/Bearish):
The volume profile color adapts depending on whether cumulative delta volume (buy minus sell pressure) is positive or negative for the segment.
Breakout Labels:
When a new channel is formed, arrows mark whether the breakout occurred upward or downward.
⯁ FEATURES
Adaptive Trend Channel Construction
Channels update only when price closes beyond upper or lower volatility thresholds. This isolates trend shifts with minimal noise.
Channel Visualization Options
Choose to display full channel boxes or only trend lines using customizable styling.
Real-Time Volume Profiling
As long as the channel remains active, volume distribution is recalculated live on every bar.
PoC Projection
The PoC is drawn across the channel range, marking the highest-volume price level for each segment.
Directional Delta Coloring
Volume profiles automatically shift to bullish or bearish colors based on cumulative delta inside the channel.
Breakout Detection
Arrows highlight each transition into a new channel regime.
⯁ HOW TO USE
Spot trend changes using breakout arrows and the creation of new trend channels.
Gauge strength of a channel by examining the density and shape of the internal volume profile.
Use PoC levels as potential support/resistance interaction zones.
Validate momentum by checking whether volume delta shows bullish or bearish dominance.
Monitor channel edges to anticipate continuation or reversal setups.
⯁ CONCLUSION
The Volume Channel Flow indicator merges trend structure with volume analytics, providing a continuously adaptive picture of market flow.
It not only detects where trend phases begin and end, but also reveals what type of volume behavior shaped each segment, offering a deeper understanding of trend strength and directional pressure.
Axiom Flow: Donsma NQ/MNQ - 5 Min TFThis is a proprietary algorithmic trading framework engineered specifically for the Mini and
Micro Nasdaq (MNQ) futures market on the 5-minute timeframe. Designed for the modern quantitative trader, this system filters market noise to identify high-probability momentum expansions during key liquidity windows.
Unlike standard indicators that repaint or lag, this framework utilizes a "Confirmed Close" logic engine, meaning it waits for structural validation before signaling an entry. It is designed to be a complete decision-support system, automating the complex analysis of trend alignment, volatility, and momentum.
How It Works (The Logic) The system relies on a 4-Stage Verification Protocol:
Structural Trend Validation: Uses a proprietary dual-layer breakout logic to ensure price is not just fluctuating within a range but has broken significant structural resistance or support levels.
Volatility Compression Filter: Entries are restricted to periods of specific volatility conditions. The system identifies "energy build-up" phases and triggers only when statistical probability favors an expansion (breakout), avoiding over-extended markets.
The "Anti-Chop" Protocol: A custom-built filter measures the efficiency of price movement. If the market is "chopping" sideways with low directional energy, the system remains neutral, protecting capital from false signals common in range-bound environments.
Velocity Override: A secondary high-impact logic layer detects institutional volume flow and rapid price displacement, allowing the strategy to capture fast-moving news events that standard trend filters might miss.
Risk Management (Automated)
Fixed Risk Sizing: The logic is calibrated for 1-Contract fixed sizing to demonstrate raw performance consistency.
Adaptive Profit Targets: Unlike static targets, this system uses Dynamic Volatility Scoring to calculate profit objectives. It aims for larger runners during high-volatility sessions and banks tighter profits during slower sessions.
Liquidity Window Lock: Execution is hardcoded to the New York Session (Open to Lunch) to ensure maximum liquidity and reduce slippage risks.
Disclaimer This script is for educational and backtesting purposes only. Past performance in the strategy tester is not indicative of future results. Trading futures and derivatives involves substantial risk of loss and is not suitable for every investor. This tool is designed to assist your own technical analysis, not to replace independent judgment.
TA Checklist and Kontext and VstupKontext a vstup pravidla TA, jednoduché věty pro vlastní vstup a přehled.
EMA Spread Exhaustion DetectorEMA Spread Exhaustion – Reversal Scalper's Tool
Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.
The Strat - Multi-Timeframe Combo Analyzer## 📊 The Strat - Multi-Timeframe Combo Analyzer
This open-source indicator implements **The Strat** methodology, a universal price action framework developed by Rob Smith (@RobInTheBlack).
---
### 🎯 What is The Strat?
The Strat categorizes every candle into one of three scenarios based on its relationship to the previous bar:
| Type | Name | Definition |
|------|------|------------|
| **1** | Inside Bar | High < Previous High AND Low > Previous Low |
| **2** | Directional | Breaks only one side (2↑ = broke high, 2↓ = broke low) |
| **3** | Outside Bar | Breaks BOTH previous high AND low |
By tracking these bar types across timeframes, traders can identify actionable setups with defined entry triggers and target levels.
---
### ✨ Features
**Daily Timeframe Analysis:**
- Real-time 3-bar combo detection (2-1-2, 3-1-2, 1-2-2, etc.)
- Pattern classification: Bullish/Bearish Continuation or Reversal
- Entry and Target levels based on Strat rules
- Pattern status: ACTIONABLE, IN-FORCE, TRIGGERED, or WATCHING
**ATR Context:**
- Range % used (how much of daily ATR has been consumed)
- Entry quality assessment (Excellent → Exhausted)
- Day type classification (Quiet → Trend Day)
- Remaining range estimation
**15-Minute Analysis:**
- Separate combo tracking for intraday precision
- Pattern detection on lower timeframe
**Visuals:**
- Customizable info tables
- Entry/Target horizontal lines
- Signal labels on chart
- Alert conditions
---
### 🔧 How to Use
1. Look for **ACTIONABLE** patterns - these are setups waiting for a trigger
2. Entry triggers when price breaks the designated level
3. Target is the next logical Strat level (typically prior bar's high/low)
4. Use **Range%** to assess if there's room left in the daily range
5. Combine Daily and 15-Min combos for trade confluence
---
### ⚠️ Disclaimer
This indicator is for **educational purposes only**. It does not constitute financial advice or guarantee profitable trades. Trading involves substantial risk of loss. Past performance is not indicative of future results. Always conduct your own research and trade responsibly.
---
### 🙏 Credits
**The Strat** methodology was created by Rob Smith (@RobInTheBlack).
This implementation is open-source. Feel free to study, modify, and improve the code!
Ultimate Major Contextual Dashboard (Multi-Asset)Overview : The Ultimate Major Dashboard is a performance-optimized market overview tool designed to provide a consolidated snapshot of the 7 major Forex pairs and Gold. It aggregates correlation, trend, momentum, and volatility data into a single, clean table, allowing users to view broader market context without switching charts.
Technical Logic & Components : This indicator utilizes a modular function to analyze EURUSD, GBPUSD, USDJPY, USDCHF, AUDUSD, USDCAD, NZDUSD, and XAUUSD across four key dimensions:
Intermarket Correlation (Pearson Coefficient): Uses ta.correlation() to compare each asset against the symbol currently on your main chart.
Logic: Values above 0.7 (Dark Green) suggest a strong positive relationship, while values below -0.7 (Dark Red) suggest inverse behavior. This is calculated over a rolling 50-period window to balance stability with current market sensitivity.
Trend Bias (EMA-200): Evaluates the long-term trend by checking price position relative to the 200-period Exponential Moving Average.
Visuals: An upward arrow (⬆) indicates price is above the EMA; a downward arrow (⬇) indicates it is below.
Momentum (RSI-14): Calculates the Relative Strength Index. The dashboard automatically highlights readings above 70 (OB) or below 30 (OS) to help identify potential momentum extremes.
Volatility (ATR-14): Displays the Average True Range as a reference for the current active range of each market, helping users compare volatility levels across the majors.
How to Interpret the Dashboard
Asset Alignment: Correlation values help identify when pairs are moving in "unison" versus when a specific currency is diverging from the group.
Directional Context: Combining the Trend (EMA) and Momentum (RSI) columns provides a quick view of whether a market is trending strongly or reaching an exhaustion point.
Volatility Benchmarking: The ATR values offer perspective on which pairs are currently the most active, assisting in market comparison based on volatility preference.
Data Handling & Customization
Multi-Symbol Sync: Data is fetched using request.security(). The calculations are synchronized with the chart's current bar state for real-time accuracy.
Dynamic TF: Users can select the analysis timeframe (60, 240, D, W) via the settings menu.
Flexibility: The dashboard position can be toggled between all four corners of the chart to avoid overlapping with price action.
Disclaimer
This tool is provided for analytical and educational purposes only. It does not generate trading signals and should not be considered financial advice.
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections.
Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified:
Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants.
Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range.
Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached.
Anchor Modes & Precision
8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection.
Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders.
Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis.
Key Features
Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity.
Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets.
Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics.
Use Cases
Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks.
Supply & Demand Trading: Automated identification of the "Origin of the Move."
Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
Fundamentals [AletheiaTradeLab]This indicator adds a fundamentals layer to your chart around earning events:
1. EPS YoY % and Sales YoY %
On earnings dates you’ll see two percentages:
- EPS YoY % = how much this quarter’s earnings per share changed vs the same quarter last year
- Sales YoY % = how much this quarter’s revenue changed vs the same quarter last year
2. Acceleration highlight
A visual highlight appears when YoY results have been improving for several events in a row (you decide how many).
3. Next earnings countdown
The indicator marks the next earnings date on the chart and shows:
Countdown = days remaining (Today if it’s the current day)
Use it to quickly see how close the next earnings catalyst is while you’re charting.
4. Fundamentals table (ratings + quality metrics + pass/fail).
Ratings are computed using formulas I built and run locally. The values displayed here are updated weekly (and may be updated more frequently during earnings season). They are independent interpretations inspired by publicly available concepts from Mike Webster, William O’Neil, and IBD, and are not official IBD ratings.
A table on-chart that can show (you choose the rows):
- Market cap
- EPS Rating (1–99)
A percentile-style score that ranks a stock’s earnings strength versus the tracked universe.
It blends four components:
EPS YoY (Last quarter)
EPS YoY (Prior quarter)
EPS growth rate (5Y, fallback to 3Y if 5Y is missing)
Earnings Stability (lower volatility scores better)
Higher is better. A stock with 90 is roughly stronger than ~90% of the universe on this composite.
- Sales Rating (1–99)
Same idea as EPS Rating, but focused on revenue growth quality.
It blends:
Sales YoY (Last quarter)
Sales YoY (Prior quarter)
Sales growth rate (5Y, fallback to 3Y)
Sales Stability (lower volatility scores better)
- SMR Rating (1–99)
A profitability + quality rating inspired by the classic “SMR” concept.
It combines four pillars:
Sales growth (avg of last 3 quarters) + whether sales are accelerating
After-tax margin (recent/avg) + whether margins are improving
Pre-tax margin (FY) + whether it’s improving
ROE (FY) + whether it’s improving
- Earnings / Sales stability
- EPS / Sales growth rates (3Y / 5Y)
- Profit margins and ROE
- Optional pass/fail dots based on thresholds you set.
Momentum Trading Fundamental Screener- by ParthibThis indicator adds a fundamentals dashboard directly on your price chart, so you can see key business performance numbers without leaving the chart.
It displays a compact table that can be placed in any corner of the chart and customized (text size, colors, and which columns are shown). The table shows recent periods of EPS, Sales (Revenue), and Profit Margin %, along with their percentage changes (QoQ if you choose quarterly, YoY if you choose yearly).
It also optionally prints small labels under candles whenever new EPS or Sales data appears, showing the percentage change at that report point (with “EPS” or “SALES” written inside the label).
Pro Scalper MTF Elite Strategy v1.0.0
Pro Scalper MTF Elite Strategy v1.0.0
What is this script?
This is an advanced, institutional-grade multi-timeframe (MTF) scalping and swing trading strategy for TradingView. It integrates multiple professional trading concepts—including Smart Money Concepts (SMC/SMT), price action, trend, momentum, and volume analysis—into a single, easy-to-use tool. The script is designed for traders who want robust, rules-based entries and exits, with built-in risk management and dynamic position sizing.
Key Concepts Integrated
Smart Money Concepts (SMC/SMT): Includes liquidity sweeps, order blocks, fair value gaps (FVG), and market structure breaks (MSB).
Price Action: Detects swing highs/lows, candle patterns, and support/resistance zones.
Trend Analysis: Uses EMAs, VWAP, and higher timeframe trend confirmation.
Momentum: Incorporates MACD and RSI for momentum filtering.
Volume : Identifies volume spikes for additional confluence.
Multi-Factor Confluence: Signals are generated only when multiple factors align, increasing reliability and reducing false signals.
How does it work?
- The strategy continuously scans for confluence between SMC/SMT signals, price action, trend, momentum, and volume.
- Each factor is scored, and only high-confluence setups trigger trade signals.
- Risk management is fully automated: you set your risk per trade, and the script calculates stop loss, take profits, and position size.
- Advanced features include trailing stops, breakeven logic, dynamic targets, and adaptive filters for different market regimes.
How to use
1. Add the script to your chart.
2. Adjust settings in the Inputs panel:
- By default, liquidity zones and support/resistance are OFF for a clean chart. Enable “Show Liquidity Zones (By TF)” and “Show S/R Zones” in the Visuals section to see SMT/SMC features.
- Set your account size and risk % for proper position sizing.
- Choose your preferred risk management and signal filtering options.
3. **Look for BUY/SELL labels on the chart.**
- These indicate high-confluence trade entries.
- The script will plot stop loss and take profit levels.
4. **Use the built-in strategy tester to review historical performance.**
5. **Set up alerts:** See below for details.
Features & Settings Explained
- Risk Management : Fixed % risk per trade, dynamic position sizing, trailing stops, breakeven, and adaptive targets.
- Signal Logic: Multi-factor scoring, cluster confluence, aggressive mode, candle color filter, and high conviction options.
- Advanced Filters: Bias gate, ambiguity skip, cooldown, adaptive stop modes, dynamic regime adjustment.
- Session & Volatility : Session filter, volatility gate, and dynamic position sizing.
- Visuals: All major overlays (liquidity, S/R, order blocks, FVGs, etc.) are OFF by default for clarity. Enable as needed in the Visuals section.
- Dashboard (Debug Panel): Built-in dashboard displays key signal metrics, scores, cluster counts, regime status, and trigger states directly on the chart. Enable it in the Visuals section by setting “Debug Panel Mode” to “Lite” or “Extended” and choose its position with “Debug Panel Position.”
- **Performance Tweaks:** Light MTF mode, max boxes/labels, and more.
How to enable SMT/SMC features
- Enable “Show Liquidity Zones (By TF)” for liquidity zones (SMT/SMC).
- Enable “Show S/R Zones” for support/resistance.
- Enable “Show Order Blocks” and “Show FVG” for order block and fair value gap visualization.
How to set alerts (Strategy Script)
On TradingView, strategy scripts do not allow you to select specific conditions like “Entry Buy” or “Entry Sell” in the alert dialog. Instead, you can only set a single alert for the entire strategy. Here’s how to do it:
1. Add the strategy to your chart.
2. Click the “Add Alert” (clock) icon at the top of TradingView.
3. In the alert dialog, select the strategy name as the condition (you will not see separate options for Entry Buy or Entry Sell).
4. The alert will trigger whenever the script generates a new buy or sell signal (as defined by the alert() function in the script).
5. Set your preferred alert actions (popup, email, webhook, etc.) and click “Create”.
Note: If you want separate alerts for buy and sell signals, you would need to use a companion indicator version of the script.
What strategy is this? How does it help?
This is a multi-factor, multi-timeframe confluence strategy. It helps traders by:
- Automating complex SMC/SMT and price action analysis.
- Managing risk and position size for you.
- Providing clear, actionable trade signals only when multiple factors align.
- Adapting to changing market regimes (trend/chop/volatility).
- Reducing emotional trading and overtrading.
Timeframes
- Works best on 5m, 15m, 30m, and 1H charts.
- Can be used on higher timeframes for swing trading.
- Lower timeframes (1m, 3m) may be noisier.
Does it repaint?
- The script is designed to avoid repainting. Signals are generated using confirmed bar data.
- Optional “Repaint Audit” mode is available for testing.
- Visual overlays (zones, FVGs, etc.) may update as new bars form, but trade signals do not repaint.
How long do signals show?
- Signals remain on the chart as long as the trade is active or until the next signal.
- Visual zones fade after a set number of bars (configurable).
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Supplemental Information
Author
- Script by lava_javaforum (Institutional Enhancement Strategy Variant).
- For support, contact via TradingView or the invite-only group.
Risk Management & Position Sizing
- All trades use fixed % risk per trade.
- Position size is calculated automatically.
- Dynamic sizing increases with higher conviction.
Track Record
- This is a strategy script with built-in backtesting.
- Past performance is shown in the TradingView strategy tester.
- No guarantee of future results; always forward-test before live trading.
Markets
- Designed for stocks, indices, futures, and options.
- Works on any liquid market and timeframe.
Leverage
- The script does not recommend or require leverage.
- Use leverage at your own risk.
Backtesting
- Fully backtestable in TradingView.
- Use the strategy tester to review historical performance.
Support
- Support is available for invite-only users.
- Contact the author for questions or troubleshooting.
Community
- You may contact other users in the invite-only group for feedback and tips.
Trial
- A trial period may be available for select users. Contact the author for details.
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Disclaimer
This script is for educational and informational purposes only. It is NOT financial advice. Trading involves risk, and you should only trade with money you can afford to lose. Past performance does not guarantee future results. Always do your own research and consult a financial advisor if needed.
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If you have any questions or need help with settings, contact the author directly. Happy trading!
Clean Price Action - Panel EconomicShort Summary
- Displays selected macroeconomic data in a separate lower panel
- Provides fundamental context without interfering with price action
- Supports key economic indicators such as CPI, NFP, and Unemployment Rate
- Useful for higher-timeframe and structural market analysis
Full description
Overview
- Separate panel below the chart to avoid overlap with price
- Displays selected macroeconomic time series for contextual analysis
- Focuses on fundamental data rather than technical signals
- One economic dataset can be displayed at a time
- Designed to stay neutral and informational
Supported Economic Data
- CPI – Consumer Price Index reflecting inflation development
- CIR – Central Bank Interest Rate indicating monetary policy stance
- IRYY – 10-Year Government Bond Yield as a proxy for long-term rates
- IJC – Initial Jobless Claims showing short-term labor market stress
- JC4W – 4-Week Average Jobless Claims for smoothed employment trends
- NFP – Non-Farm Payrolls measuring employment growth
- UR – Unemployment Rate describing overall labor market conditions
Visualization
- Rendered as a continuous line in a separate lower panel
- Clear visual separation from price candles and overlays
- Adjustable color to fit individual chart layouts
- Suitable for long-term and structural observation
Purpose
- Adds macroeconomic context to technical price analysis
- Helps identify economic cycles and regime shifts
- Supports higher-timeframe decision making
- Allows correlation between economic data and market behavior
Notes
- Data is sourced from TradingView’s built-in economic indicators
- Values update according to official economic release schedules
- Some indicators update in steps rather than continuously
- Most effective on H4, Daily, or Weekly timeframes
NHadou-solo# NHadou-solo — Candle-based Wave Structure Indicator
NHadou-solo is a wave-structure visualization indicator that draws swing lines based on
candle-by-candle price behavior. Unlike typical ZigZag-style indicators that rely on a fixed
percentage threshold to determine swing points, NHadou-solo uses a unique algorithm that
evaluates the relationship between consecutive candles to identify trend continuation and
reversal.
This approach produces wave structures that differ from ZigZag logic and provides a more
granular view of how price swings evolve in real time.
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## ■ Core Logic (Conceptual Overview)
### ● Unique Algorithm (Different from ZigZag)
- Instead of using percentage-based price deviation, the indicator directly compares the
highs and lows of consecutive candles to determine swing direction.
### ● Candle-by-Candle Reversal Detection
- During an up wave: the wave continues until a candle prints a lower low than the previous low.
- During a down wave: the wave continues until a candle prints a higher high than the previous high.
### ● Handling Inside Bars (Harami)
- When price forms an inside bar, the direction is not confirmed.
- The indicator waits for a breakout before drawing the next segment, reducing noise.
### ● Provisional (Unconfirmed) Wave Lines
- When a potential reversal or a break of a key high/low occurs, a provisional line is drawn.
- This helps visualize possible turning points before they are fully confirmed.
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## ■ How to Use
- The wave lines represent the current swing direction and potential reversal zones.
- Provisional lines indicate early signs of momentum change.
- Useful for identifying trend continuation, reversals, and swing structure in both trending
and ranging markets.
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## ■ Notes
- This indicator is provided for educational purposes only and does not constitute financial advice.
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NHadou-solo は、ローソク足ごとの価格構造をもとに波動線を描画する、独自ロジックの波動可視化インジケータです。
一般的な ZigZag 系インジケータは、一定の価格変動率 を基準に転換点を描画しますが、
NHadou-solo はローソク足の前後関係を直接比較して波動転換を判定するため、
ZigZag とは異なるアルゴリズムで波動構造を抽出します。
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## ■ ロジック概要(概念レベル)
### ● ZigZag とは異なる独自アルゴリズム
- 価格変動率ではなく、ローソク足の高値・安値の更新状況を直接比較して判定します。
### ● ローソク足ごとの転換点判定
- 上昇中:安値が前回安値を下回るまで上昇波を継続
- 下降中:高値が前回高値を上回るまで下降波を継続
### ● 含み足・はらみ足の処理
- 方向が確定するまで波を描画せず、ノイズを抑えた波動構造を形成します。
### ● 未確定足(仮線)
- 反転の可能性がある場面や主要高値・安値のブレイク時には仮線を描画し、
波動の“候補”を視覚的に把握できるようにしています。
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## ■ 使い方
- 波動線は現在の方向性と転換候補を視覚化します。
- 仮線は「反転の可能性」を示すため、確定波との違いを見ながら判断します。
- トレンドの継続・転換、押し目・戻り目の把握に活用できます。
---
## ■ 注意事項
- 本インジケータは教育目的で提供されており、特定の売買を推奨するものではありません。
LBMA London Gold Fix Times [Auto DST]## Overview
This lightweight indicator automatically marks the **LBMA Gold Price Fixing** times on your chart using vertical lines. It is designed specifically for **XAUUSD (Gold)** traders who need to monitor institutional liquidity and volatility shifts during the London session.
The indicator tracks the two key daily fixing moments:
* **AM Fix:** 10:30 (London Time)
* **PM Fix:** 15:00 (London Time)
## Key Features
* **🌍 Auto Daylight Saving Time (DST):** Built with the `Europe/London` timezone parameter. It automatically adjusts to British Summer Time (BST) and GMT, so you never have to manually change the UTC offset settings.
* **⚡ Minimalist Design:** Draws clean vertical lines without cluttering your chart with text labels.
* **🎨 Fully Customizable:** You can adjust the line color, width, and style (Solid, Dashed, Dotted) for both AM and PM sessions independently.
## Why are these times important?
The London Gold Fix (LBMA Gold Price) is the global benchmark for physical gold settlement. Major institutions, central banks, and mining companies settle contracts at these times. Consequently, **10:30** and **15:00** (London time) often witness:
1. Significant spikes in volatility.
2. Trend reversals or accelerations.
3. Massive volume injection.
## Usage Tips
* **Timeframe:** This indicator works best on **Intraday Timeframes** (1-minute to 30-minute charts).
* *Note:* It may not be visible on H1 (1-hour) charts or higher because the fix times (e.g., 10:30) occur in the middle of an hourly candle.
* **Setup:** Simply add it to your chart. No timezone configuration is required; the script calculates London time internally.
## Settings
* **AM Fix Color:** Default is Blue (London Morning).
* **PM Fix Color:** Default is Red (London Afternoon/US Morning overlap).
* **Line Style:** Choose between Solid, Dashed, or Dotted lines.
概述 (Overview)
这是一个轻量级的辅助指标,通过垂直线在图表上自动标记 LBMA 伦敦金定盘价(LBMA Gold Price Fixing) 的时刻。它是专为 XAUUSD(黄金) 交易者设计的,旨在帮助大家捕捉伦敦时段内机构流动性和市场波动的关键节点。
该指标会自动锁定每天两个核心的定盘时间:
上午定盘 (AM Fix): 10:30 (伦敦时间)
下午定盘 (PM Fix): 15:00 (伦敦时间)
主要功能 (Key Features)
🌍 自动识别夏令时 (Auto DST): 代码内置 Europe/London 时区参数。无论英国处于夏令时 (BST) 还是冬令时 (GMT),指标都会自动精准对齐,无需用户手动调整时区设置。
⚡ 极简主义设计: 仅绘制干净的垂直线,不显示任何文字标签,避免遮挡K线或干扰视线。
🎨 高度可定制: 您可以独立调整上午和下午定盘线的颜色、粗细以及样式(实线、虚线或点线)。
为什么要关注这两个时间点?
LBMA 伦敦金定盘价是全球实物黄金结算的基准价格。大型金融机构、中央银行和金矿公司通常会在这个时间点集中进行合约结算。因此,在伦敦时间 10:30 和 15:00 前后,市场经常会出现:
波动率瞬间激增。
短期趋势的反转或加速。
巨量成交量的涌入。
使用建议 (Usage Tips)
适用周期: 建议在 日内分时图(1分钟、5分钟、15分钟或30分钟)上使用。
注意: 在 1小时 (H1) 或更大的周期上,线条可能无法显示,因为定盘时间(如 10:30)发生在整点K线的内部,无法被单独标记。
设置方法: 加载指标即可使用。无论您本地电脑的时间设置如何,脚本内部会自动计算正确的伦敦时间。
参数设置 (Settings)
AM Fix Color: 上午定盘线颜色(默认为蓝色)。
PM Fix Color: 下午定盘线颜色(默认为红色,此时往往也是美盘初期的波动高峰)。
Line Style: 线条样式选择(实线、虚线、点线)。
Area per IntervalDescription
This indicator shades the area between 2 curves, an SMA and the nearest open/close to the SMA, and their intersections. The black labels with leader lines describe the calculated area of each shaded section, and the total area accumulated per total number of time intervals for that area. The additional value visible in the status line that is not displayed on the chart is, at any bar index (time interval), the current total area of the incomplete shaded area.
Usage
- The default color of the shaded areas denote the type of momentum being built before the cross. Green for bullish, red for bearish.
- The area value of the shaded areas can be used as a capacity indicator, denoting imbalances between the previous and next crosses.
- The area per interval value of the shaded areas can be used as a momentum indicator, denoting which area is carrying more price movement before the price crosses.
- Similar to indicators that use dynamic price differences between OHLC data, moving averages, etc, confluence with other momentum indicators that use different elements creates additional confirmation.
Conclusion
Simple momentum indicator. Comment for possible updates that can be made.
Daily VOL HUD (Auto Chart Symbol)Short Description (Preview)
A clean, fixed-position HUD that displays today’s daily volume and optional Daily Volume Delta (DVD) for the active chart symbol. Automatically adapts when switching pairs.
Full Description
Daily Volume HUD (Auto Chart Symbol) is a minimalist on-chart heads-up display (HUD) designed to keep daily volume context visible at all times — without relying on traditional volume panels.
The indicator automatically follows the current chart symbol, meaning when you switch from BTC to ETH, DOGE, or any other pair, the displayed volume updates instantly with no manual input required.
It remains fixed to the top of the screen, unaffected by zoom level, price scale, or timeframe, making it ideal as a subtle volume watermark for active traders.
Historical Returns [BigBeluga]🔵 OVERVIEW
The Historical Returns indicator visualizes daily and monthly return data to help traders assess seasonal performance and volatility behavior. It provides a clean and informative dashboard showing the current month’s daily return bubbles, monthly return curves, and a snapshot of the current month and year performance. This tool is ideal for spotting recurring return patterns and understanding the broader profitability context of a symbol.
🔵 CONCEPTS
Daily Return Bubbles: Each trading day is analyzed for its return percentage, and plotted as a bubble with size proportional to the return magnitude.
Monthly Performance Curves: Average or cumulative returns are calculated and plotted to show how the current month is performing relative to historical averages.
Current Year Return: Current year performance as a single return value, giving traders context on long-term profitability.
Current Month Average Return: Current month average performance as a single return value, giving traders context on short-term profitability.
Extreme Return Labels: Optionally highlights daily returns above +4% or below -4% with labeled percentages for spike recognition.
🔵 FEATURES
Shows daily return bubbles (1%–7%+), color-coded by direction.
Labels monthly returns with the month name and percentage value.
Displays a performance dashboard with:
Daily return heatmap for the current month.
Average return for the current month.
Year-to-date return.
Toggle between average and cumulative modes for monthly return curves.
Clearly marks days with abnormal return spikes using optional labels.
Clean fallback warning if not on a daily chart ("⚠️USE DAILY TIMEFRAME").
Custom color themes for bullish and bearish values.
🔵 HOW TO USE
Use the monthly return curve to compare how the current month is performing against historical averages.
Look for clusters of positive or negative bubbles as signals of strong directional weeks.
Watch extreme return labels for volatility spikes or catalyst days.
Use year-to-date return to assess how the asset is trending in the broader macro cycle.
Combine with other BigBeluga tools to align trades with historically favorable periods.
🔵 CONCLUSION
Historical Returns is your visual companion for return analytics — helping you identify profitable months, detect volatility surges, and understand historical seasonality at a glance. With a clean dashboard and insightful overlays, this tool supports better timing and improved statistical edge in both short- and long-term trades.
Quality-Controlled Trend Strategy v2 (Expectancy Focused)This script focuses on quality control rather than curve-fitting.
No repainting, no intrabar tricks, no fake equity curves.
It uses confirmed-bar entries, ATR-based risk, and clean trend logic so backtests reflect what could actually be traded live.
If you publish scripts, this is the minimum structure worth sharing.
Why this script exists
TradingView’s public scripts are flooded with:
repainting indicators
no stop-loss logic
curve-fit entries that collapse live
strategies that look good only in hindsight
This script is intentionally boring but honest.
No repainting.
No intrabar tricks.
No fake equity curves
The goal is quality control, not hype.
What this strategy enforces
✔ Confirmed bars only
✔ Single source of truth for indicators
✔ Fixed risk structure
✔ No signal repainting
✔ Clean exits with unique IDs
✔ Works on any liquid market
Trading Logic (simple & auditable)
Trend filter
EMA 50 vs EMA 200
Entry
Pullback to EMA 50
RSI confirms momentum (not oversold/overbought)
Risk
ATR-based stop
Fixed R:R
One position at a time
This is the minimum bar for a strategy to be considered publish-worthy.
Why this helps TradingView quality
Most low-value scripts fail because they:
hide repainting logic
skip exits entirely
use inconsistent calculations
rely on hindsight candles
This strategy forces discipline:
every signal is confirmed
every trade has defined risk
behavior is repeatable across symbols & timeframes
If more scripts followed this baseline, TradingView’s public library would be far more usable.






















