[DEM] Sequential Identifying Table Sequential Identifying Table is designed to monitor Sequential methodology across up to 20 customizable symbols simultaneously, displaying buy and sell signals in a comprehensive dashboard format overlaid on the price chart. The indicator implements a sequential counting system, which tracks consecutive closes above or below the close from four periods ago, generating buy signals when a downward sequence reaches 8 (indicating potential exhaustion and reversal upward) and sell signals when an upward sequence reaches 8 (indicating potential exhaustion and reversal downward). The table displays each symbol with color-coded backgrounds (green for buy signals, red for sell signals, gray for no signal) and corresponding signal text, operating on a selectable timeframe from 1-minute to monthly intervals, allowing traders to quickly scan multiple assets for sequential setups without switching between different charts or timeframes.
趨勢分析
Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
AstraAlgo IndicatorOVERVIEW
The AstraAlgo Indicator delivers precise, actionable trade signals on TradingView. With configurable signal modes, dynamic support and resistance, and a fully adjustable alerts system, it helps traders make informed decisions and manage risk effectively.
HOW TO GAIN ACCESS
Subscribe at www.astraalgo.com and provide your TradingView username. Access is usually granted within a few hours, and you’ll receive email confirmation once activated.
FEATURES
Signal Modes
Signal Modes are the core of the AstraAlgo Indicator, providing users with flexible options to view trade signals tailored to their preferred complexity and style.
Bar Coloring
Bar Coloring provides a clear visual distinction between bullish and bearish candlesticks, allowing traders to interpret price action at a glance. This feature helps identify momentum and trend direction without analyzing raw price data.
Astra Cloud
Astra Cloud is a dynamic support and resistance overlay that visually highlights key price zones on your TradingView charts. These zones adjust in real time to reflect market movements, helping traders identify areas of potential price reaction.
Alerts
Alerts in the AstraAlgo Indicator are designed to keep traders informed of key market movements in real time. They notify you whenever a significant trading signal appears on your chart, ensuring you can act promptly even when you’re away from TradingView.
CONTACT US
For any questions or assistance, contact us at support@astraalgo.com or visit www.astraalgo.com.
New Rate - PREMIUM v2New Rate – Premium
Overview
New Rate – Premium is a breakout strategy built around a strict “one trade per day” rule. It forms an intraday range from the first N candles, freezes High/Low at the close of candle N, and places OCO stop orders exactly on those levels. The first breakout fills and the opposite order is canceled. Exits can be managed by fixed ticks or by risk/reward (RR). The script draws SL/TP boxes, keeps entry labels at a fixed distance from price, and lets you restrict trading to selected weekdays.
How it works
Window & count: set timeframe, session start, and N candles. Those candles are highlighted and used to compute the range High/Low.
Freeze: when candle N closes, the strategy locks High/Low and draws the lines; a 50% midline is optional.
OCO placement: buy-stop on High and sell-stop on Low (one-cancels-other). The first fill cancels the other side.
Exits:
– Ticks mode: SL/TP are fixed distances in ticks from entry.
– RR mode: SL at the opposite side of the range; TP = RR × risk.
Visual SL/TP boxes are drawn in both modes.
Daily lock: after the first fill, no more entries for that day.
Key features
First break only, one trade per day: hard discipline that avoids over-trading.
Automatic range end: timeframe × N candles (or manual end time).
Exact “at-the-break” entries: stop orders placed at frozen High/Low.
Flexible exits: fixed ticks or RR with opposite-side stop.
Clean visuals: High/Low and midline with configurable color/style/width; text alignment (left/center/right); session background with opacity.
SL/TP boxes: configurable colors, borders, width, and forward projection.
Entry labels with constant offset: “BUY” below bar, “SELL” above bar; distance in ticks so labels never sit on price.
Weekday filter: trade only the days you select (Mon–Fri).
Inputs (summary)
• Session & range: timeframe (minutes), start time, N candles, auto end (TF × N) or manual, line extension.
• Style: High/Low colors, styles, widths; midline on/off; label position; session background color and opacity.
• Exits: RR using the opposite extreme as SL, or “Use SL/TP by ticks”.
• SL/TP boxes: projection bars, SL color, TP color, border color and width, box limit.
• Weekdays: Monday–Friday selectors.
• Entry labels: show/hide, colors, size, vertical offset in ticks, optional X shift in bars.
Backtest snapshot — FX:XAUUSD 30m
Range: 02 Jan 2024 00:00 → 12 Sep 2025 12:00 • Symbol/TF: FX:XAUUSD / 30m
• Net Profit: $1,599.77
• Gross Profit / Gross Loss: $3,929.47 / $2,329.70
• Max Drawdown: $112.73 (4.93%)
• Total Trades / Win rate: 440 / 48.41%
• Avg Trade: $3.64 (0.04%); Avg Winner / Avg Loser: $18.45 / $10.26
• Profit Factor / Sharpe / Sortino: 1.687 / 1.163 / 6.876
• Largest Win / Loss: $91.94 / $10.26
• Avg Bars in Trade: 1 (long), 2 (short)
Why this strategy is original
First-bar breakout accuracy: orders arm exactly when the N-th candle closes, so the very next bar can fill at the true break. This avoids the common ORB miss where the first post-range bar is skipped by delayed checks or market orders.
OCO + daily lock as a core mechanic: the engine enforces one-and-done behavior—no soft rules, no hidden retries—so test results match live logic.
Two exit frameworks, one visual language: switch seamlessly between fixed-tick and structural RR exits while managing both with the same SL/TP boxes for consistent analysis and education.
Readability by design: label offset, aligned High/Low text, and tunable session background keep charts uncluttered during long optimizations or multi-asset reviews.
Operational guardrails: drawing budgets, box limits, and weekday filters are integrated so backtests remain stable and realistic with trading hours.
Focused ORB specialization: no oscillators, no hidden bias—transparent, testable, and purpose-built for the opening-range dynamic you configure.
Recommended use
• Session openings or early windows with a single, clean decision per day.
• Strict rules with exact entry levels and auditable exits.
• Benchmarking exits in both ticks and RR with apples-to-apples visuals.
Default strategy properties
• Initial capital: 10,000 USD; position sizing by % of equity (editable).
• Commissions default to 0% and slippage to 0; edit to match your broker/market.
• Drawing limits tuned to respect TradingView resource caps.
Best practices & compliance
• Educational use. Not financial advice.
• Past performance does not guarantee future results.
• Adjust slippage, commissions, and position sizing to your live context.
• Original implementation with documented mechanics; compliant with TradingView House Rules.
Example setup
TF 5m, start 08:00, N = 6 → auto end at 08:30
RR = 2 with SL at the opposite side of the range
Boxes: projection 10 bars; SL #9598a1; TP #ffbe1a; border #787B86; opacity 70
Days: Tuesday and Wednesday only
Labels: “BUY” below and “SELL” above, 10-tick offset
Glossary
• Opening range breakout (ORB): breakout of the configured initial range.
• One-cancels-other (OCO): filling one order cancels the other.
• Risk/reward (RR): target equals RR × risk distance.
• Tick: minimum price increment.
• Offset: fixed label separation from the bar extremum.
Trend Strength Index Long Strategy📈 Trend Strength Index Long Strategy
This strategy combines the Trend Strength Index (TSI) with a Volume-Weighted Moving Average (VWMA) to identify high-probability long entries based on trend momentum and price confirmation.
📊 TSI Calculation : Measures correlation between price and time (bar index) over a user-defined period. Strong TSI values indicate trend momentum.
📏 VWMA Filter : Confirms bullish bias when price is above the VWMA.
🚀 Entry Condition : Long position is triggered when TSI crosses above -0.65 and price is above VWMA.
🔒 Exit Condition : Position is closed when TSI crosses above 0.65.
🎨 Visuals : Gradient fills highlight bullish and bearish zones. VWMA is plotted for trend context.
🧮 TSI Length: Adjustable (default 14)
📐 VWMA Length: Adjustable (default 55)
💸 Commission: 0.1% per trade
📊 Position Size: 75% of equity
⚙️ Slippage: 10 ticks
✅ Best used in trending markets with steady momentum.
⚠️ Avoid in choppy or range-bound conditions.
Integrated Institutional Indicator with Signals🚀 Institutional Edge Dashboard – Trade Like the Big Players
Take your trading to the next level with the Institutional Edge Dashboard – a powerful, all-in-one indicator that fuses the most trusted market signals used by professional traders and institutions.
This isn’t just another MACD or RSI script. It’s a full institutional framework that blends multiple strategies, adapts to different market conditions, and gives you clear, high-confidence trade signals right on your chart.
🔥 Why Traders Love This Indicator
✅ Institutional-Grade Analysis – combines MACD, ADX, and RSI into one powerful engine.
✅ Smart Market Regime Detection – knows when the market is trending or ranging and adapts accordingly.
✅ Clear Buy & Sell Signals – no guessing, just visual arrows and alerts with confidence grading.
✅ Risk Management Built-In – position sizing and risk labels right in the dashboard.
✅ Divergence Detection – automatic bullish & bearish RSI divergences catch early trend reversals.
✅ Customizable Dashboard – tables with real-time MACD, ADX, RSI stats, and signal confidence.
📊 Dashboard Column Guide
The dashboard shows all the institutional signals in one compact table. Here’s what each column means:
🔹 Institutional Analysis Table
Column Meaning
Signal Current trade signal: Buy, Sell, or Neutral. Generated when MACD, ADX, and RSI align.
Grade Letter grade (A+ to D) showing the strength of the signal. Higher grade = stronger confluence.
Confidence Percentage score (0–100%) that reflects the combined weight of all signals.
Position Suggested stance: LONG, SHORT, or HOLD.
Size Suggested position sizing (Full / Medium / Small) based on confidence and risk conditions.
Regime Market condition: Trending / Ranging with High / Low Volatility.
MACD Shows MACD trend direction and confidence score for momentum.
ADX Shows trend strength (Weak → Extreme) and whether DI+ (bullish) or DI− (bearish) dominates.
RSI RSI value + confidence score for momentum and overbought/oversold signals.
Risk Risk assessment: LOW / MED / HIGH, based on volatility and signal reliability.
🔹 RSI Divergence Table
Column Meaning
Divergence Shows if an RSI divergence is detected: Bullish Divergence (potential uptrend reversal) or Bearish Divergence (potential downtrend reversal).
Signal Suggested trade action based on divergence: Buy, Sell, or Neutral.
📈 How It Helps You Trade
Spot Trends Early → catch momentum before the crowd.
Filter Out Noise → only trade high-confidence confluence signals.
Manage Risk Smarter → size positions with risk labels (LOW / MED / HIGH).
Stay Alert → optional alerts notify you when big institutional setups appear.
🖥️ What You’ll See on Your Chart
🎯 Buy & Sell Labels – graded from A+ to D with confidence %
📊 Institutional Dashboard Table – at a glance overview of signals, regime, ADX, MACD, RSI, and risk
🔎 RSI Divergence Table – quick view of bullish/bearish divergences
🌈 Background Bias Coloring – instant read of bullish vs bearish environment
⚡ Who Is It For?
Day traders & swing traders who want an edge over retail setups
Investors who want confirmation before entering big positions
Anyone tired of juggling multiple indicators – this puts it all in one place
⚠️ Disclaimer
This tool is designed for educational purposes only.
It is not financial advice. Always combine with your own research and risk management.
👉 Ready to trade like institutions? Add this dashboard to your chart and see the difference.
Levels, EMS, Volume etc.This is a comprehensive trading indicator that combines three main analysis tools:
EMA System — a set of 12 exponential moving averages with color trend indication.
Consolidation — detects and highlights price accumulation zones with breakout alerts.
S/R Levels — identifies key support and resistance levels across different timeframes, shows their strength, and displays them in a table.
Additionally, it includes a volume histogram and a notification system for important chart events. All these features help traders analyze trends and identify potential entry and exit points.
Это комплексный торговый индикатор, который объединяет три основных инструмента анализа:
EMA-система — набор из 12 экспоненциальных скользящих средних с цветовой индикацией тренда.
Консолидация — определяет и выделяет зоны накопления цены с оповещениями о пробоях.
Уровни S/R — находит ключевые уровни поддержки и сопротивления на разных таймфреймах, показывает их силу и выводит в таблицу.
Дополнительно включает гистограмму объёмов и систему уведомлений о важных событиях на графике. Всё это помогает трейдерам анализировать тренды, определять потенциальные точки входа и выхода.
Chartlense Dashboard (Data, Trend & Levels)Chartlense Dashboard (Data, Trend & Levels)
Overview
This dashboard is designed to solve two common problems for traders: chart clutter and the manual drawing of support and resistance levels . It consolidates critical data from multiple indicators into a clean table overlay and automatically plots the most relevant S&R levels based on recent price action. The primary goal is to provide a clear, at-a-glance overview of the market's structure and data.
It offers both a vertical and horizontal layout to fit any trader's workspace.
Key Concepts & Calculations Explained
This indicator is more than a simple collection of values; it synthesizes data to provide unique insights. Here’s a conceptual look at how its core components work:
Automatic Support & Resistance (Pivot-Based):
The dashed support (green) and resistance (red) lines are not manually drawn. They are dynamically calculated based on the most recent confirmed pivot highs and pivot lows . A pivot is a foundational concept in technical analysis that identifies potential turning points in price action.
How it works: A pivot high is a candle whose `high` is higher than a specific number of candles to its left and right (the "Pivot Lookback" is set to 5 by default in the settings). A pivot low is the inverse. By automatically identifying these confirmed structural points, the script visualizes the most relevant levels of potential supply and demand on the chart.
Relative Volume (RVOL):
This value in the table is not the standard volume. It measures the current bar's volume against its recent average (specifically, `current volume / 10-period simple moving average of volume`).
Interpretation: A reading above 2.0 (indicated by green text) suggests that the current volume is more than double the recent average. This technique is used to identify significant volume spikes, which can add conviction to breakouts or signal potential market climaxes.
Consolidated Data for Context:
Other values displayed in the table, such as the EMAs (9, 20, 200) , Bollinger Bands (20, 2) , RSI (14) , MACD (12, 26, 9) , and VWAP (on intraday charts), use their standard industry calculations. They are included to provide a complete contextual picture without needing to load each indicator separately, saving valuable chart space.
How to Use This in Your Trading
This dashboard is designed as a tool for confluence and context , not as a standalone signal generator. Here are some ways to integrate it into your analysis workflow:
As a Trend Filter: Before considering a trade, quickly glance at the EMAs and the MACD values in the table. A price above the key EMAs and a positive MACD can serve as a quick confirmation that you are aligned with the dominant trend.
To Validate Breakouts: When the price is approaching a key Resistance level (red pivot line), watch the RVOL value . A reading above 2.0 on the breakout candle adds significant confirmation that the move is backed by strong interest. The same logic applies to breakdowns below a support level.
To Spot Potential Reversals: Confluence is key. For example, if the price is testing a Support level (green pivot line) AND the RSI in the table is approaching oversold levels (e.g., near 30), it can signal a higher probability reversal setup.
About This Indicator
This indicator was developed by the team at ChartLense to help traders declutter their charts and focus on the data that matters. We believe in making complex analysis more accessible and organized. We hope this free tool is a valuable addition to your trading process.
Analyst HUD — Side / ADX / RSI / rVol (bot thresholds)Analyst HUD — Side / ADX / RSI / rVol (bot thresholds)
A clean heads-up display that puts the essentials right on your chart:
✅ Side – quick trend bias (bullish/bearish)
✅ ADX – trend strength, color-coded
✅ RSI – momentum zones (overbought/oversold/neutral)
✅ rVol – relative volume vs average
Built with bot-style thresholds for instant clarity.
No signals, no clutter — just the key metrics you need to spot strong trends and momentum at a glance.
Smart Pro Entry GuideOverview
Smart Pro Entry Guide (HTF Selectable, Full) is a multi-timeframe price–volume analyzer that blends wick/absorption reads, ATR-validated breakout and range-expansion filters, trend scoring, and pivot-based structure into a single, confluence-first decision layer.
With optional HTF routing, an intent engine for the last three HTF candles, and a visual dashboard, it outputs a real-time Chart Action (BUY/SELL/WAIT) plus the reason behind it, while plotting S/R, liquidity zones, and trendlines to make execution contexts obvious at a glance.
The goal is simple: align entries with dominant context and strong evidence while minimizing noise through volume and volatility-aware gating.
How it works
The script can run all calculations on a user-selected Higher Timeframe, or stay on the chart timeframe, enabling regime-aware bias and clean drilling from context to trigger without juggling multiple charts.
It scores price action with wick and absorption logic, validates momentum with ATR- and volume-based breakout/expansion tests, and classifies trend strength with a configurable green/red bar count against a moving average.
An HTF intent model evaluates the last three HTF bars against percentile thresholds for volume and body strength to set a majority bias, which is then combined with structure, liquidity, and trend filters to drive the final Chart Action and on-chart visuals.
HTF routing: toggle useHTF to compute OHLCV, moving averages, and ATR on a chosen window_tf, propagating that context into all downstream logic.
Price-action + volume filters: Wick Bull/Bear detect long lower/upper wicks >2×>2× body with directional closes; Absorption flags extreme closes at recent swing extremes on above-average volume and compressed bodies.
Volatility and momentum: Unusual Breakout requires ∣close−open∣>1.5×ATR∣close−open∣>1.5×ATR and volume>1.5×volMA
volume>1.5×volMA; Range Expansion requires range>1.5×avgRange
range>1.5×avgRange with prior range <0.7×avgRange<0.7×avgRange in the direction of the close
Trend engine: Counts green vs red bars over trendBarCount and requires
trendScore≥trendScoreMin
trendScore≥trendScoreMin with price above/below a moving average to qualify as Strong Trend Long/Short.
Chart Action: BUY if strongTrendLong_ltf or long-intent filter is true, SELL if strongTrendShort_ltf or short-intent filter is true, else WAIT, enabling straightforward execution rules.
HTF intent and bias: For each of the last three HTF bars, classifies BULLISH/BEARISH/CHOP when volume, body, and body% exceed rolling highs scaled by a percentile factor, then sets HTF BULLISH/BEARISH via ≥2≥2 majority voting (else HTF Chop).
Structure and liquidity: Auto-detects S/R via pivots, draws trendlines from pivots, shades bias-aligned zones, and highlights “liquidity zones” when volume exceeds a configurable multiplier of a volume average near structure.
Dashboard: A table summarizes HTF Intent, HTF Bias, Chart Action, filter activity, explicit Reason, trend scores, strong-trend flags, HTF vol/body metrics, and an adaptive Volume Sentiment state (Strong Bullish/Bearish, Bullish/Bearish, Neutral).
Why it helps
The design emphasizes confluence: HTF bias, LTF trend state, price-action signatures, and volume/ATR validation must align, reducing false positives that occur when signals are considered in isolation.
Structure- and liquidity-aware plotting puts actionable context—S/R, zones with above-average participation, and directional trendlines—directly on the chart, making it easier to filter trades and time entries with intent-backed confirmation.
The dashboard’s transparent “Reason” string and filter log create an auditable trail of why Chart Action changed, improving decision discipline and reproducibility.
How to use
Trend continuation: In trending markets, favor Chart Action = BUY alongside HTF BULLISH near fresh supports and/or shaded liquidity zones, especially when filters show Wick Bull, Absorption Bull, or Range Expansion in the direction of trend.
Reversal attempts: At resistance or after extended up moves, look for Wick Bear/Absorption Bear and Chart Action = SELL, ideally with HTF BEARISH or HTF Chop transitioning bearish to avoid counter-trend chop.
Breakout follow-through: When Unusual Breakout triggers with both ATR and volume confirmation, trade continuation in the breakout direction while the dashboard maintains bias alignment and favorable Volume Sentiment.
Settings
useHTF + window_tf: Routes all core calculations to a higher timeframe for regime-aware bias and cleaner signal gating.
useWickAnalysis, useAbsorption, useUnusualBreakout, useRangeExpansion: Enable/disable specific price–volume filters that feed into Chart Action and Reasons.
trendBarCount, trendScoreMin: Control trend scoring sensitivity and what qualifies as a Strong Trend against a moving average.
length: Sets length for volume MA and ATR, impacting breakout/expansion thresholds and average range computation.
swing_look: Defines the lookback window for swing extremes used in absorption detection.
lookback_sup, percentile_fact: Configure rolling-high percentile thresholds used to classify HTF intent on volume, body, and body%.
showTable, showSR, showLIQ, showTrend, showZones: Toggle the dashboard, S/R labels, liquidity zones, trendlines, and bias-aligned shading.
srLook, liqLook, liqFactor: Tune pivot sensitivity and volume criteria for liquidity zone detection and marking.
dashboardPosition: Choose where the dashboard table renders on the chart.
Notes
Pivots require left/right bars for confirmation, so newly detected S/R and trendlines appear after sufficient bars form, helping avoid premature levels during developing swings.
Chart Action is deliberately conservative: it requires either a strong-trend state or a valid intent filter in the direction of the proposed trade, which can reduce noise in sideways conditions.
Volume Sentiment strengthens or softens the read by comparing current volume to a baseline and weighting by candle direction and near-term trend score.
how to use the indicator to make better trading decisions?
Focus first on the HTF Bias, then act only when Chart Action and filters align to build strong confluence and avoid trades during WAIT states.
Quick start
Turn ON useHTF and choose window_tf so OHLCV, MA, and ATR are computed on an HTF; then read HTF Intent and HTF Bias on the dashboard to set the primary direction.
On the LTF, check Chart Action (BUY/SELL/WAIT) and Reason, and act only when Chart Action aligns with the HTF Bias.
Prioritize entries near recent S/R pivots, trendlines, and highlighted liquidity zones to ensure structure-supported trades.
Context and bias
The HTF intent model evaluates the last three HTF candles against percentile thresholds for volume, body, and body% of their rolling highs and classifies each bar as BULLISH/BEARISH/CHOP.
Majority voting sets “HTF BULLISH/BEARISH” when at least two bars agree; otherwise “HTF Chop,” which guides overall direction and strategy selection.
Entry triggers (LTF)
Wick Bull/Bear trigger when the lower/upper wick is >2×>2× the body and the close is directional, signaling rejection-style reversal/continuation.
Absorption Bull/Bear appear when the close is at a swing extreme with above-average volume and a compressed body, indicating aggressive participation.
Unusual Breakout requires ∣close−open∣>1.5×ATR∣close−open∣>1.5×ATR and volume>1.5×volMA
volume>1.5×volMA to validate a high-impulse move.
Range Expansion requires rane>1.5×avgRange range>1.5×avgRang and the prior range<0.7×avgRange<0.7×avgRange with a directional close, signaling a regime shift.
Strong Trend Long/Short holds when the trendScore ≥≥ its threshold and price is above/below the MA, helping filter pullback entries.
Trend continuation
In HTF BULLISH, when Chart Action = BUY, prioritize pullback entries near fresh supports or trendlines with long-side filters like Wick/Absorption/Expansion.
Holding bias is more consistent when Volume Sentiment is “Bullish/Strong Bullish” and the Reason shows long-side signals.
Reversal setups
After resistance or extended up-moves, look for Wick Bear/Absorption Bear; take Chart Action = SELL with HTF BEARISH or a Chop→Bearish transition for mean-reversion attempts.
In Chop or against HTF Bias, avoid aggressive sizing and treat WAIT as a valid output until confluence becomes clear.
Breakout follow-through
Right after an Unusual Breakout, seek continuation in the same direction when Volume Sentiment and HTF Bias agree and Reason shows “Breakout.”
Favor micro-pullbacks or flags retesting S/R above/below the breakout to improve risk-to-reward.
Risk management
Use recent srLook-based pivot lows/highs for stop-loss placement since S/R and trendline construction rely on these.
With Zones ON, consider initiating inside bias-aligned shaded areas and reducing or exiting when price moves outside them to keep invalidation clear.
Skip trades during WAIT or Neutral Volume Sentiment to maintain the system’s noise-filtering purpose.
Tuning settings
Increasing window_tf makes bias more stable but reduces trigger frequency; decreasing it speeds bias changes and increases frequency.
Raising trendBarCount and trendScoreMin tightens the Strong Trend filter so only higher-quality pullbacks pass.
Increasing percentile_fact makes HTF intent thresholds stricter for volume/body, reducing bias flips.
Adjust liqLook and liqFactor to instrument volatility so liquidity zones highlight only meaningful participation.
Do and don’t
Go against HTF Bias only when the Reason shows clear opposite-direction signals with structural confirmation; otherwise, prefer WAIT.
Do not rely on breakout/expansion without volume confirmation, as the system validates them with 1.5×1.5× volume/ATR thresholds.
Avoid assuming levels mid-swing; pivots need confirmation bars before S/R becomes reliable.
Workflow steps
Switch useHTF = ON, select an appropriate window_tf, and read HTF Bias on the dashboard.
On LTF, check Chart Action and Reason; if WAIT, skip.
Validate location context with S/R labels, trendlines, and shaded zones; consider only structure-supported entries.
Ensure at least one directional price–volume filter (Wick/Absorption/Breakout/Expansion) aligns with the HTF Bias.
Favor pullbacks during Strong Trend; use conservative sizing in Chop/transitions.
Place stops beyond pivots and manage partials or exits when Volume Sentiment/Reason shifts.
Notes
The indicator unifies “Chart Action + Reason + Context,” so avoid BUY/SELL without clear cause and location context to preserve system consistency.
Tune parameters to instrument and timeframe volatility to balance signal quality versus trade frequency.
Disclaimer
This indicator is an educational decision-support tool and not financial advice; market risk, slippage, and regime shifts can invalidate any setup, so independent research and risk management remain essential.
Past behavior in signals or dashboards does not guarantee future performance, and parameter choices should be adapted to instrument volatility and timeframe objectives.
SOLACEThis overlay combines a fast/slow EMA price-action system with rich context tools. Buy prints on the current bar when both EMAs (5 & 21) are below the OHLC average and the 21 EMA crosses below the 5 EMA; Sell prints when both EMAs are above the average and the 21 EMA crosses above the 5 EMA. It also plots MACD, VWAP, Bollinger Bands (20,2), SMA50/200, plus dynamic support/resistance lines from recent swing highs/lows (20/40/60 bars) for confluence. Labels fire same-bar for early entries, and alerts are included for both signals; fractal logic is prepared for future use.
Velocity Lines® IndicatorThe Velocity Lines® Indicator plots three moving averages — fast, medium, and slow — to give a clear view of price momentum and trend direction.
I created this indicator because I wanted a simple, visual way to track multiple layers of momentum without cluttering my charts with too many tools . Over time, I noticed that watching how the medium line interacts with the slow line helped me better understand shifts in market momentum . For example, when the medium line approaches or crosses the slow line, it can indicate a potential change in trend. This is part of how I interpret markets personally, but the indicator itself is a visual tool , not a complete trading system.
Features:
— Three adjustable velocity lines for different trend speeds
— Minimalistic design for clearer chart readability
— Works across multiple markets and timeframes
— Flexible and easy to combine with other analysis tools
The Velocity Lines® Indicator was created to provide a straightforward, personal way to observe market velocity while keeping charts clean and uncluttered.
影武者Ⅲ (safe fixed)minnkofusuki kaizou torendline jidou
Minkowski space is a real vector space equipped with a non-degenerate symmetric bilinear form. It is named after the German mathematician Hermann Minkowski. The framework was used by Albert Einstein in formulating the theory of special relativity. In this specific setting, since it represents spacetime that combines space and time, it is also referred to as Minkowski spacetime in the context of physics.
Distribution DaysThis script marks Distribution Days according to the Investors Business Daily method -- a significant decline on higher volume:
(1.) Price has declined > 0.2% from the prior day's close
(2.) Trading volume is greater than the prior day's volume
RSI BUY SELL BY Josh)✅ How to Use
Add the indicator on TradingView.
Select your preferred Signal Mode:
Strict (safe & classic)
Loose (more signals, flexible)
Aggressive (fast entries)
Watch for BUY/SELL arrows & labels directly on the RSI panel.
Set alerts so you never miss a trade opportunity.
Combine with Price Action / Trend Filters for maximum accuracy.
✨ Perfect for:
Beginners who want RSI signals simplified.
Experienced traders looking for automatic divergence detection.
Anyone who wants clear, reliable RSI trading signals without overthinking.
📌 In short:
“RSI BUY SELL BY Josh2 — Signals” = Clear RSI signals + Auto Divergence + Smart Alerts.
Everything you need in one tool! 🚀
Lau3%Lau3% — adaptive trend, volatility trail, and smart session zones
Lau3% was created to solve two common problems of many indicators: false triggers during sideways markets and unrealistic levels cluttering the chart.
How it works (conceptually):
- Adaptive baselines adjust their speed to volatility. They respond quickly in impulsive phases and smooth out in calm periods, so the trend representation stays relevant.
- Volatility trail acts as a dynamic barrier. When the market changes regime and price crosses this barrier, a signal may appear. To avoid constant noise, the script validates the move so that weak sideways fluctuations don’t trigger signals.
- Two signal modes:
-- Flip — selective signals only on confirmed regime change.
-- Volatility cross — designed for aggressive trading and frequent entries.
- Session zones highlight realistic support and resistance for the current period. They adapt by distance to price and often match areas where stop orders or large limit orders accumulate.
How to read it:
- Flip mode = trend confirmation style.
- Volatility cross = aggressive breakout style.
- Session zones = pressure/interest areas for market participants.
This logic keeps the script useful in both trending and ranging conditions, without overloading the chart with redundant lines.
Ichimoku + MACD Combo (Two Alerts)The script is made in conjunction with below mentioned video which i watched few days ago
youtu.be
So i combined both ichimoku and MACD indicators and created the alerts as shown in the video
Trend-Strong Candle - 3 EMAs with Filters# Trend-Strong Candle - Professional Trading Indicator
## 📊 What It Does
Identifies high-probability entries by combining triple EMA trend analysis with strong candle detection. Only signals when all conditions align for maximum accuracy.
## 🎯 Core Features
- Triple EMA System: Fast (20) / Medium (50) / Slow (200) for trend confirmation
- Strong Candle Filter: ATR-based sizing ensures genuine momentum
- Advanced Filters: EMA close validation + trend stability checks
- Live Alerts: Instant notifications for real-time signals
- Session Filter: Trade only during active EU/US market hours
## ⚡ Quick Setup
Scalping (1-5min): Default settings + enable session filter
Day Trading (15-60min): Default settings work perfectly
Swing Trading (4H+): Increase ATR multiplier to 0.8-1.0
## 📈 Trading Rules
Long Signals: Green triangle below candle
- Strong bullish candle during confirmed uptrend
- All EMAs properly aligned (Fast > Medium > Slow)
Short Signals: Red triangle above candle
- Strong bearish candle during confirmed downtrend
- All EMAs properly aligned (Fast < Medium < Slow)
## ⚠️ Critical Success Factors
1. Always Verify the Trend Yourself
The indicator helps identify signals, but YOU must confirm the larger trend context. Check higher timeframes and overall market structure before entering.
2. Understand the "Big Players"
Strong candles in trend direction usually come from institutional money (banks, funds, algorithms). These create the momentum that retail traders can follow. The indicator catches these institutional moves.
3. Distance to Next Value Level
NEVER enter if price is too close to major resistance/support levels:
- Check distance to round numbers (1.1000, 1.1050, etc.)
- Ensure at least 20-30 pips room to next key level
- You need space for profit - tight levels = limited upside
4. Risk Management
- Stop Loss: 1-2 ATR from entry
- Take Profit: 2-3 ATR target (minimum 1:2 R/R)
- Position Size: Risk max 1-2% per trade
## 💡 Pro Tips
- Best Sessions: London open (8-12 UTC) and NY open (13-17 UTC)
- Avoid: Major news, low liquidity periods, choppy markets
- Multiple Timeframes: Confirm signals on higher timeframe
- Value Levels: Always check daily/weekly support/resistance before entering
## 🎯 Success Formula
Trend Confirmation + Strong Institutional Candle + Distance to Value Levels = High Probability Trade
*
Remember: The indicator finds the signals, but successful trading requires your analysis of trend context and value level positioning. Trade smart, not just frequent.
[Futures OI vs Price Change] (% Change)╔═══════════════════ RUBIXCUBE ══════════════════════╗
This indicator analyses the relationship between Open Interest percentage changes and price percentage changes in futures markets. Inspired by Checkonchain's market structure analysis, it displays this data as coloured column bars to identify different market conditions.
What This Indicator Shows
The indicator plots Open Interest percentage change as column bars, with colours representing four market regimes:
- Blue (Leveraged Rally): OI increases + Price increases (New leveraged long positions)
- Green (Spot Rally): OI decreases + Price increases (Organic buying or short covering)
- Orange (Leveraged Sell-Off): OI increases + Price decreases (New short positions or long liquidations)
- Red (Deleveraging Sell-Off): OI decreases + Price decreases (Position unwinding)
Bar transparency changes based on price movement magnitude. Larger price changes result in more solid bars, while smaller moves appear more transparent.
Data Sources
Aggregated Open Interest data from multiple exchanges:
- Binance USDT, USD & BUSD Perpetuals
- BitMEX USD & USDT Perpetuals
- Kraken USD Perpetuals
Settings
- OI % Change SMA: Smoothing period for Open Interest changes (Default: 7)
- Price % Change SMA: Smoothing period for price changes (Default: 7)
- Base Transparency: Baseline transparency level (0-100)
- Transparency Sensitivity: How much price change affects bar transparency
- Exchange Toggles: Enable/disable individual exchange data
Usage
This indicator helps identify market structure by showing whether price moves are accompanied by increasing or decreasing leveraged positions. Blue and orange bars indicate new leverage entering the market, while green and red bars suggest position reduction or organic spot activity.
╚═════════════════════════════════════════════════╝
Kalman Adjusted Average True Range [BackQuant]Kalman Adjusted Average True Range
A volatility-aware trend baseline that fuses a Kalman price estimate with ATR “rails” to create a smooth, adaptive guide for entries, exits, and trailing risk.
Built on my original Kalman
This indicator is based on my original Kalman Price Filter:
That core smoother is used here to estimate the “true” price path, then blended with ATR to control step size and react proportionally to market noise.
What it plots
Kalman ATR Line the main baseline that turns up/down with the filtered trend.
Optional Moving Average of the Kalman ATR a secondary line for confluence (SMA/Hull/EMA/WMA/DEMA/RMA/LINREG/ALMA).
Candle Coloring (optional) paint bars by the baseline’s current direction.
Why combine Kalman + ATR?
Kalman reduces measurement noise and produces a stable path without the lag of heavy MAs.
ATR rails scale the baseline’s step to current volatility, so it’s calm in chop and more responsive in expansion.
The result is a single, intelligible line you can trade around: slope-up = constructive; slope-down = caution.
How it works (plain English)
Each bar, the Kalman filter updates an internal state (tunable via Process Noise , Measurement Noise , and Filter Order ) to estimate the underlying price.
An ATR band (Period × Factor) defines the allowed per-bar adjustment. The baseline cannot “jump” beyond those rails in one step.
A direction flip is detected when the baseline’s slope changes sign (upturn/downturn), and alerts are provided for both.
Typical uses
Trend confirmation Trade in the baseline’s direction; avoid fading a firmly rising/falling line.
Pullback timing Look for entries when price mean-reverts toward a rising baseline (or exits on tags of a falling one).
Trailing risk Use the baseline as a dynamic guide; many traders set stops a small buffer beyond it (e.g., a fraction of ATR).
Confluence Enable the MA overlay of the Kalman ATR; alignment (baseline above its MA and rising) supports continuation.
Inputs & what they do
Calculation
Kalman Price Source which price the filter tracks (Close by default).
Process Noise how quickly the filter can adapt. Higher = more responsive (but choppier).
Measurement Noise how much you distrust raw price. Higher = smoother (but slower to turn).
Filter Order (N) depth of the internal state array. Higher = slightly steadier behavior.
Kalman ATR
Period ATR lookback. Shorter = snappier; longer = steadier.
Factor scales the allowed step per bar. Larger factors permit faster drift; smaller factors clamp movement.
Confluence (optional)
MA Type & Period compute an MA on the Kalman ATR line , not on price.
Sigma (ALMA) if ALMA is selected, this input controls the curve’s shape. (Ignored for other MA types.)
Visuals
Plot Kalman ATR toggle the main line.
Paint Candles color bars by up/down slope.
Colors choose long/short hues.
Signals & alerts
Trend Up baseline turns upward (slope crosses above 0).
Alert: “Kalman ATR Trend Up”
Trend Down baseline turns downward (slope crosses below 0).
Alert: “Kalman ATR Trend Down”
These are state flips , not “price crossovers,” so you avoid many one-bar head-fakes.
How to start (fast presets)
Swing (daily/4H) ATR Period 7–14, Factor 0.5–0.8, Process Noise 0.02–0.05, Measurement Noise 2–4, N = 3–5.
Intraday (5–15m) ATR Period 5–7, Factor 0.6–1.0, Process Noise 0.05–0.10, Measurement Noise 2–3, N = 3–5.
Slow assets / FX raise Measurement Noise or ATR Period for calmer lines; drop Factor if the baseline feels too jumpy.
Reading the line
Rising & curving upward momentum building; consider long bias until a clear downturn.
Flat & choppy regime uncertainty; many traders stand aside or tighten risk.
Falling & accelerating distribution lower; short bias until a clean upturn.
Practical playbook
Continuation entries After a Trend Up alert, wait for a minor pullback toward the baseline; enter on evidence the line keeps rising.
Exit/reduce If long and the baseline flattens then turns down, trim or exit; reverse logic for shorts.
Filters Add a higher-timeframe check (e.g., only take longs when the daily Kalman ATR is rising).
Stops Place stops just beyond the baseline (e.g., baseline − x% ATR for longs) to avoid “tag & reverse” noise.
Notes
This is a guide to state and momentum, not a guarantee. Combine with your process (structure, volume, time-of-day) for decisions.
Settings are asset/timeframe dependent; start with the presets and nudge Process/Measurement Noise until the baseline “feels right” for your market.
Summary
Kalman ATR takes the noise-reduction of a Kalman price estimate and couples it with volatility-scaled movement to produce a clean, adaptive baseline. If you liked the original Kalman Price Filter (), this is its trend-trading cousin purpose-built for cleaner state flips, intuitive trailing, and confluence with your existing
