Relative Volume Context [Alturoi]Relative Volume Context is an advanced volume analysis indicator designed to help traders understand whether current volume is truly unusual—or simply normal for that moment in time.
Unlike traditional volume or basic relative volume tools, this indicator models expected volume based on historical time-based behavior (minutes, hours, days, sessions) and compares it directly to what is happening now.
The result is clear, structured insight into:
Unusual participation
Abnormal activity
Quiet vs active market conditions
When volume confirms price —and when it doesn’t
This tool is built for day traders and swing traders who want volume context , not just volume bars.
📌 What Problem This Indicator Solves
Raw volume is deceptive.
High volume at the open, low volume at lunch, and rising volume into the close are normal market behaviors —yet most indicators treat them as equal.
Relative Volume Context fixes this by asking a better question:
“Is today’s volume high or low compared to what normally happens at this exact time?”
By conditioning volume expectations on time and session structure , the indicator filters out noise and highlights moments where participation genuinely deviates from the norm.
🧩 How Relative Volume Context Works (Conceptually)
At its core, the indicator compares:
Actual Volume
Expected Volume for this time bucket
A time bucket can include combinations such as:
Minute of the hour
Hour of the trading day
Day of the week or month
Broader calendar structure (months / quarters)
Expected volume is calculated using historical data for that same bucket , creating a fair, apples-to-apples comparison.
This produces several meaningful outputs:
Expected Volume: the typical volume level for the current time context.
Difference: actual minus expected.
Surprise (%): a normalized measure of how large the deviation is relative to expectation.
Z-Score (Mean mode): a statistical measure of how extreme current volume is compared to its historical distribution.
Sample Size & Confidence: transparency into how much historical data supports the expectation.
🧠 Built for Clarity and Performance
Efficient data handling for intraday charts
Adaptive period selection (Auto Selection)
Optional forecast of expected future volume
Clean HUD showing context, confidence, and interpretation
🛠 How to Use It (Best Practices)
Use it with price , not instead of price.
Treat high readings as context , not automatic signals.
Combine with structure, levels, and market conditions.
Pay attention to Confidence / N before trusting extreme readings.
Avoid over-interpreting early history with low sample sizes.
👥 Who This Indicator Is For
Day traders trading U.S. equities
Swing traders monitoring participation and follow-through
Traders who value context over hype
Users who want transparency, not black-box signals
Subscribe to Alturoi ’s private, invite-only indicators designed to support informed trading decisions.
Volume is most powerful when it explains why price is moving—not when it’s used in isolation.
📊 Understanding the HUD: What Each Metric Actually Means
The HUD is designed to answer one core question:
“Is this volume unusual in a way I should care about?”
Raw volume on its own is misleading. Each field in the HUD exists to remove a specific form of self‑deception and replace it with context you can reason about.
🧭 Bucket — Unusual compared to when?
Volume has a strong time structure. A spike at 9:31 AM means nothing unless it’s compared to other 9:31 AM bars — not lunch hours, not overnight, not Fridays.
The bucket defines the comparison group:
Same minute of the hour
Same hour of the day
Same day of the week, month, or quarter
Without this, expected volume becomes a global average — statistically wrong and operationally misleading.
⚙️ Method (Mean vs Percentile) — What kind of “normal” am I using?
Different methods answer different trading questions:
Mean: fast, stable, symmetric, and enables Z‑scores. Best when volume distributions are smooth.
Percentile: robust to outliers and news spikes. Answers how rare this volume is historically.
Mean measures deviation from equilibrium. Percentile measures rarity. If you don’t know the method, you can’t interpret the signal correctly.
🔢 N (Sample Size) — Is this statistic even trustworthy?
Statistics without sample size are vibes.
N = 12 → noise dressed as math
N = 200 → structure
Two identical surprise readings with different N values are not the same signal. This single number prevents false confidence.
📐 Confidence — How much weight should I give this?
Confidence is a human‑readable compression of N:
Low → exploratory only
Medium → usable with context
High → structurally reliable
This isn’t judgment — it’s statistical humility.
📊 Expected — Expected relative to what baseline?
Expected volume is the anchor of everything else.
Without seeing it:
You can’t tell whether surprise comes from a low or high base
You can’t sanity‑check the model
If Expected looks wrong, the signal is wrong — full stop.
⭐ Surprise (%) — How large is the deviation in practical terms?
Raw differences don’t scale. Surprise % normalizes across symbols, timeframes, and regimes.
A +80% surprise on SPY at 10:15 matters. A +5% surprise usually doesn’t. This is the actionability metric.
📐 Z‑Score — Is this statistically extreme or just mildly off?
Z‑score adds distribution context:
0.5σ → normal fluctuation
2σ → uncommon
3σ → rare, regime‑relevant
Two bars can share the same % surprise but have very different Z‑scores if volatility differs. Z tells you whether the market itself considers this bar “weird.”
The deeper point
Most volume indicators stop at: “Volume is high.”
Relative Volume Context forces the harder, more honest question:
“High compared to what, how rare, and how reliable is that comparison?”
That’s the difference between decorative indicators and decision‑support instruments .
🔍 Why This Matters for Day & Swing Traders
Relative Volume Context is not a signal generator . It is a decision-support tool .
Practical uses include:
Identifying unusual participation during breakouts or breakdowns
Distinguishing real interest from routine session volume
Avoiding false confidence in moves occurring on “normal” volume
Spotting regime shifts or news reactions (participation shocks)
Understanding when low volume truly signals lack of interest
Used correctly, it helps traders answer:
“Is this move being supported by abnormal activity, or is it just time-of-day noise?”
Disclaimer: This indicator is provided for educational and informational purposes only and does not constitute financial or investment advice. Trading involves risk, and past market behavior does not guarantee future results. Always use proper risk management and independent judgment.
Swingtrading
Eloha_low_frequency_v1low frequency strategy for automated systems. Best results use on 15min or 30min candles
Gann Odd-Number Levels (Raw Scale)Gann Odd‑Number Levels (Raw Scale)
A clean, purpose‑built pane that visualizes Gann’s odd‑number sequence (1, 5, 9, 17, 25, 37, 49, 65, 81…) on its native scale, while syncing to price via an adaptive anchor. The result: raw Gann structure is easy to read, and you can quickly see how price reacts around each level.
Key features
Raw Gann scale in its own pane (no distortion from price scale)
Pan/zoom aware anchoring via Visible Range or Follow Price
Center level toggle to show the exact midpoint Gann
Readable labels like G17(4) with optional price mapping
Fine UX control for line widths, opacity, colors, label size & offset
Label format
G17(4) = Gann integer 17, sequence index/root 4
Optional | price lets you see the mapped price level
How to use
Default mode tracks price so you always see the nearest Gann structure.
Switch to Visible Range to analyze structure based on what’s on screen.
Increase label offset if you stack multiple indicators.
If you find it useful, leave a like and let me know what you’d like to see next!
GEMINI Advanced SMA with Trend & AlertsDescription:
This indicator is a professional Trend & Signal analysis tool designed to help traders identify market direction, entries, and momentum strength at a glance. It combines a customizable dual Moving Average system with an advanced real-time Information Dashboard.
The script is built to keep charts clean while providing maximum data through the on-screen panel.
📈 Key Features
1. Dual Moving Average System
Fast MA (Signal Line): Acts as the primary trigger for entries.
Slow MA (Trend Baseline): Filters the overall market direction.
Visual Cloud: The area between the two MAs is filled with color (Green/Red) to visualize the trend strength and potential support/resistance zones.
Flexibility: You can choose between SMA, EMA, HMA, WMA, or RMA for both lines independently.
2. Professional Data Dashboard A customizable table positioned on your chart provides real-time analytics:
Price Action: Immediate Bullish/Bearish status.
MA Status: Shows if the Fast and Slow MAs are currently Rising or Falling.
Exact Levels: Displays the precise price values of the MAs.
Spread Analysis: Monitors the gap between the Fast and Slow MA ("Expanding" vs "Squeezing") to help identify momentum acceleration or exhaustion.
3. Signals & Alerts
BUY Signal: Generated when the Price crosses OVER the Fast MA.
SELL Signal: Generated when the Price crosses UNDER the Fast MA.
Alerts: Fully compatible with TradingView alerts for automation.
4. Multi-Timeframe (MTF) Support You can calculate the Moving Averages based on a higher timeframe (e.g., viewing 4-hour MAs while trading on a 15-minute chart) to stay aligned with the macro trend.
🛠 How to Use
Trend Identification: Look at the "Cloud" color. Green indicates an uptrend context; Red indicates a downtrend context.
Entry Points: Use the "BUY" and "SELL" labels.
Pro Tip: Take BUY signals only when the Cloud is Green (trading with the trend).
Pro Tip: Take SELL signals only when the Cloud is Red.
Momentum Check: Use the Dashboard to see if the Spread is "EXPANDING" (strong momentum) or "SQUEEZING" (potential consolidation or reversal).
⚙️ Settings
Fast/Slow Length & Type: Fully customizable periods and MA types.
MTF: Enable/Disable higher timeframe calculations.
Dashboard: You can toggle the table visibility, change its size (Tiny, Small, Normal, Large), and move it to any corner of the screen.
Disclaimer: This tool is for informational purposes only and does not constitute financial advice.
Swing Master by Pooja📘 Swing Master by Pooja
Invite-Only | Rule-Based Swing & Trend Structure Indicator
🔍 What this indicator is
Swing Master by Pooja is a rule-based technical analysis indicator designed to help traders identify high-quality swing opportunities within an established trend structure.
This script is not a trading strategy.
It does not execute trades and does not provide fixed targets or stop-loss levels.
Instead, it functions as a decision-support tool.
Visual signals appear only on confirmed candles, and only when trend structure, momentum, and market participation align together.
The core objective of this indicator is filtering low-quality market conditions and avoiding random entries, not generating frequent signals.
🎯 Intended Trading Use
This indicator is intended for traders who:
Trade trend-based swings and pullbacks
Prefer structure-aligned entries instead of chasing price
Want multi-factor confirmation before acting
Apply their own execution and risk-management rules
Applicable on:
Indices
Stocks
Futures
Intraday & higher-timeframe swing charts
🧠 Why this is NOT a simple indicator mashup
Although Swing Master uses EMA, RSI, Volume, and multi-timeframe context, each component serves a distinct and non-overlapping role.
No indicator is used to confirm itself, and no single condition can trigger a signal independently.
Signals are generated only when all required structural and momentum conditions align together on a confirmed bar, reducing noise and hindsight bias.
🔹 EMA Structure (50 / 100 / 200)
Defines trend hierarchy and market structure
Strictly filters trades in the dominant trend direction
Identifies pullback zones, not breakout points
EMA stacking is used to determine structural bias, not direct entries.
🔹 Pullback-Tolerance Logic (Key Original Component)
Instead of requiring exact EMA touches, the script applies a tolerance-based pullback zone around EMAs.
This allows:
More realistic swing entries
Fewer missed opportunities
Reduced noise compared to rigid EMA rules
This pullback-zone evaluation is custom-designed and central to the indicator’s behavior.
🔹 RSI Momentum Filter
Ensures pullbacks occur with momentum acceptance
Filters entries during weak or exhausted moves
Helps avoid counter-trend traps
RSI is used strictly as a momentum-quality filter, not as a standalone signal.
🔹 Volume Participation Filter
Confirms that price movement has market participation
Filters signals during low-interest or weak-volume phases
Helps avoid false continuation attempts
🚦 Signal Types Explained (Rule-Specific & Non-Repeating)
Each visual signal represents a distinct market condition, not repeated logic.
▸ sb — Swing Buy
Trend-aligned pullback near EMA structure
RSI confirms momentum
Volume confirms participation
▸ FS — Future Sell
Mirror logic of Swing Buy
Appears only in established downtrends
▸ SB / SS — Strong Buy / Strong Sell Zones
Price acceptance above or below all EMAs
Indicates strong directional control
Plotted only on the first bar of zone entry (no repetition)
▸ GB / GS — Golden Buy / Golden Sell
EMA 100 / EMA 200 crossover
Represents a structural trend transition
Appears only on confirmed crossovers
Each signal type follows its own independent rule-set.
📊 Multi-Timeframe Dashboard (Context Only)
The optional dashboard provides:
Trend state across higher timeframes
Top-down market context for directional bias
The dashboard is informational only and does not generate signals.
🔔 Alerts
Alert conditions are available for all signal types.
Alerts trigger only on confirmed candles and are intended to support manual analysis, not automated trading.
🔐 Why Invite-Only & Closed-Source
Swing Master incorporates:
Stateful signal control
Multi-condition validation
Non-repeating signal logic
Custom pullback-zone evaluation
The source code is protected to preserve the internal interaction, sequencing, and state management logic, not to conceal commonly known indicators.
⚠ Disclaimer
This indicator is provided for educational and analytical purposes only.
It does not constitute financial advice and does not guarantee results.
All trading decisions, execution, and risk management remain entirely the user’s responsibility.
Kijun Sen Standard Deviation | QuantLapse SystemsOverview
The Kijun Sen Standard Deviation indicator by QuantLapse Systems is a volatility-aware trend-following framework that combines the structural equilibrium of the Kijun Sen (基準線) with statistically adaptive standard deviation bands.
By anchoring trend detection to market structure and confirming direction through volatility expansion, the indicator delivers a cleaner, more reliable regime classification across varying market conditions.
Rather than reacting to short-term noise, the system focuses on identifying statistically justified trend phases , making it well-suited for disciplined, rule-based trading.
Technical Composition, Calculation, Key Components & Features
📌 Kijun Sen (基準線) – Structural Trend Baseline
Calculated as the midpoint between the highest high and lowest low over a user-defined period.
Represents market equilibrium and structural balance rather than short-term momentum.
Naturally adapts to expanding and contracting price ranges.
Provides a stable baseline for regime detection and volatility validation.
Acts as the anchor for deviation bands and persistent trend-state logic.
Unlike fast or reactive moving averages, the Kijun Sen emphasizes price structure and equilibrium , making it especially effective for higher-quality trend confirmation.
📌 Volatility Adjustment – Standard Deviation Bands
Standard deviation is calculated over a configurable lookback to measure current price dispersion.
Upper and lower envelopes are formed by applying a deviation multiplier to the Kijun Sen.
Band width expands during volatility surges and contracts during consolidation.
Creates proportional, volatility-aware thresholds instead of static offsets.
Visually represents market energy through expanding and compressing channels.
These adaptive bands ensure that trend signals only occur when volatility supports directional movement.
📌 Trend Signal & Regime Calculation
Bullish Trend is confirmed when price closes above the upper deviation band.
Bearish Trend is confirmed when price closes below the lower deviation band.
Once established, the trend state persists until an opposing volatility break occurs.
This persistence reduces whipsaws and improves regime stability.
Trend state is reinforced with color-coded lines, envelopes, and background shading.
This volatility-confirmed persistence model is visible in the chart, where trends remain intact through minor pullbacks and only flip on decisive expansion.
How It Works in Trading
✅ Volatility-Confirmed Trend Detection – Requires expansion beyond deviation bands.
✅ Noise Suppression – Filters low-energy price movement within volatility envelopes.
✅ Regime Persistence – Maintains trend state until statistical invalidation.
✅ Immediate Visual Context – Direction, strength, and transitions are clear at a glance.
Visual Representation
Trend signals are displayed directly on price using both line and background context:
🟢 Green / Teal Kijun & Envelope → Confirmed bullish regime.
🔴 Red / Pink Kijun & Envelope → Confirmed bearish regime.
Semi-transparent band fill visualizes volatility expansion and compression.
Buy and Sell labels appear only on confirmed regime transitions.
The lower panel includes:
Strategy equity curve based on trend exposure.
Buy & Hold equity for performance comparison.
Background regime shading synchronized with trend state.
Features and User Inputs
The Kijun Sen Standard Deviation framework offers a focused yet powerful set of configurable inputs:
Kijun Sen Length – Controls structural trend sensitivity.
Standard Deviation Controls – Adjust lookback length and multiplier for regime strictness.
Backtesting & Date Filters – Define evaluation periods and starting conditions.
Display Options – Toggle labels, equity curves, and background shading.
Color Customization – Fully configurable buy/sell colors for trends and equity curves.
These controls allow users to balance responsiveness, stability, and clarity without overfitting.
Practical Applications
The Kijun Sen Standard Deviation indicator is designed for traders who prioritize structure, volatility confirmation, and regime awareness.
Primary Trend Filtering – Identify and stay aligned with dominant market direction.
Volatility-Aware Trend Following – Participate only when price expansion confirms intent.
Risk-Managed Exposure – Avoid chop during compression and transitional phases.
Systematic Strategy Development – Use as a regime engine or higher-timeframe filter.
Performance Evaluation – Compare trend-following equity against buy-and-hold benchmarks.
This framework bridges classical Ichimoku structure with modern statistical validation.
Conclusion
The Kijun Sen Standard Deviation indicator by QuantLapse Systems represents a refined evolution of Ichimoku-based trend analysis.
By integrating the structural equilibrium of the Kijun Sen with adaptive standard deviation confirmation, the system delivers clearer regime classification, reduced noise, and more reliable trend participation.
Rather than attempting to predict price, it focuses on confirming when trends are statistically justified .
Who should use Kijun Sen Standard Deviation:
📊 Trend-Following Traders – Stay aligned with dominant market structure.
⚡ Momentum & Swing Traders – Enter only on volatility-backed expansions.
🤖 Systematic & Algorithmic Traders – Ideal as a regime filter or trend-state engine.
Past performance is not indicative of future results.
Disclaimer: All trading involves risk, and no indicator can guarantee profitability.
Strategic Advice: Always backtest thoroughly, optimize parameters responsibly, and align settings with your timeframe, asset class, and risk tolerance before live deployment.
ATR Distance from 50 SMA By DanBobDanA simple indicator that measures the distance between current price and the 50 SMA
The average momentum swing trade might run 7 times the ATR before pulling back
Therefore, its recommended to not buy a stock that is beyond 4 times its ATR to the 50 SMA
This script will quickly and easily calculate the 50 SMA to ATR distance for you
Smart MA Zone Crossover [HMA-EMA]Smart MA Zone Crossover is a trend-following indicator designed to capture early momentum shifts using the crossover between Hull Moving Average (HMA) and Exponential Moving Average (EMA).
The indicator visually highlights trend direction using a dynamic colored zone, making it easy to identify bullish and bearish market phases at a glance.
🔸 Step 1: Moving Average Calculation
HMA (Hull Moving Average) → Faster, smoother, reacts quickly to price
EMA (Exponential Moving Average) → Stable trend reference
Both MA lengths are **fully adjustable** from the settings panel.
🔸 Step 2: Trend Detection
Bullish Trend: HMA is above EMA
Bearish Trend: HMA is below EMA
The area between the two averages is filled with color to visually represent the current trend state.
Step 3: Signal Generation (Non-Repainting)
Signals are generated **only on confirmed crossovers**:
✅ BUY Signal- HMA crosses above EMA
❌ SELL Signal-HMA crosses belowEMA
Signals do **not repaint** and appear only once per crossover.
🔸 Step 4: Visual Customization
Users can enable or disable:
* Moving average lines
* Colored MA zone fill
* Buy/Sell arrows
* Buy/Sell text labels
This allows the indicator to remain **minimal or detailed**, depending on user preference.
🔹 Key Features
✔ Non-repainting logic
✔ Clean crossover-based signals
✔ Customizable HMA & EMA lengths
✔ Optional MA zone fill
✔ Buy/Sell arrows & labels
✔ Works on all timeframes
✔ Beginner-friendly & scalper-ready
🔹 Best Use Cases
* Trend confirmation
* Momentum trading
* Scalping & intraday trading
* Swing trend filtering
For best results, combine with:
* Support & resistance
* Volume
* Higher-timeframe trend
🔹 Disclaimer
This indicator is provided for **educational purposes only**.
It is **not financial advice**. Always backtest and use proper risk management before trading live markets.
Credit Spreads Swing TradingCredit Spreads Swing Trading
Summary
Credit Spreads Swing Trading is a decision-support indicator designed to identify higher-probability put credit spread (PCS) and call credit spread (CCS) opportunities using trend alignment, momentum shifts, and volatility-aware structure.
The indicator works on any ticker and any timeframe, and includes multiple built-in ticker presets that automatically adjust internal parameters. While it will generate signals on all charts, the on-chart table displays a recommended context to indicate when the current symbol, timeframe, and session conditions match the optimized configuration.
Core Signal Logic
Signals are generated when multiple conditions align:
Momentum shift-
Identifies directional momentum changes that often precede short-term swing continuation.
Trend confirmation-
Ensures trades align with the prevailing trend and avoids counter-trend entries.
Higher-timeframe bias
Incorporates Daily and 4-Hour EMA structure to bias trades in the dominant market direction.
Relative volume filter-
Confirms participation to reduce low-quality signals during thin or inactive periods.
Cooldown logic
Enforces spacing between signals to prevent clustering and over-trading.
Credit Spread Direction & Structure
PCS (Put Credit Spread) signals are generated in neutral to bullish conditions
CCS (Call Credit Spread) signals are generated in neutral to bearish conditions
When a signal triggers, the script calculates a recommended short strike using recent pivot structure and displays it visually on the chart. This level is intended as a reference point for structuring a credit spread, not as an execution instruction.
On-Chart Table (Informational)
The indicator includes a compact table that displays:
Current signal type (PCS or CCS)
Recommended sell-leg strike
Average spacing between historical signals
How often prior sell-legs were crossed before the next signal (visual reference only)
Recommended context status
The recommended context row indicates whether the chart matches the optimized setup:
1-Hour timeframe
Extended hours enabled
Selected ticker preset matches the chart symbol (unless set to Auto)
This recommendation is informational only. Signals are not blocked when the chart does not match the recommended context.
Ticker Presets & Flexibility
Users can select from multiple built-in ticker presets (or Auto), which adjust internal parameters such as:
Momentum sensitivity
Volatility handling
Trend responsiveness
This allows the indicator to adapt to different instruments while maintaining a consistent signal framework.
Important Notes
This indicator does not place trades and does not include automated backtesting or performance reporting.
All statistics and visual markers are for manual review and contextual analysis only.
Signals are intended for experienced traders who understand options risk, assignment risk, and proper position sizing.
Intended Use
Credit Spreads Swing Trading is intended as a research and decision-support tool for traders who sell option premium and want structured, rules-based signals aligned with trend, momentum, and volume.
It should be used alongside independent analysis and disciplined risk management.
NeuraLine v1Neuraline is a daily market-regime indicator designed to help traders stay aligned with the dominant trend while avoiding noise, false flips, and emotional overtrading.
Instead of reacting to every small move, Neuraline focuses on structural trend confirmation, combining trend strength, regime persistence, and higher-timeframe context into one clean visual layer.
1. Anti-Flip Trend Logic
Neuraline uses a buffered EMA regime system with built-in hysteresis.
This means the indicator does not flip trend on every minor crossover, but only when price confirms a meaningful shift.
Result: fewer false signals, more stability.
2. Market Strength Filter (ADX)
Trend changes are only validated when market strength confirms the move.
This prevents signals during low-volatility, choppy conditions where most indicators fail.
3. Clear Market Regime: Bullish or Bearish
Neuraline always operates in one of two states:
• Bullish regime
• Bearish regime
No confusion. No over-analysis.
Every signal is contextualized within the current regime.
4. Higher-Timeframe Structure via 50 / 200 Moving Averages
The integrated 50 & 200 day moving averages provide long-term market context:
• MA lines automatically adapt their color based on bullish or bearish alignment
• A subtle ribbon highlights the structural zone between them
This makes it instantly clear whether price action is occurring within a healthy trend or against macro structure.
5. Minimal, Emotion-Free Signals
Buy and sell signals are only triggered on confirmed regime transitions, not on every fluctuation. Signals are displayed as clean, non-intrusive icons directly on the chart — no clutter, no noise.
6. Designed for Daily & Swing Traders
Neuraline is optimized for:
• Daily charts
• Swing trading
• Position management
• Market bias confirmation
It is not a scalping tool.
It is a decision-filter.
VCAI Volume LiteVCAI Volume Lite is a clean, modern take on volume analysis designed for traders who want a clearer read on participation without loading multiple indicators.
This Lite edition focuses on the essentials:
real activity vs dead sessions
expansion vs contraction
momentum shifts around breakouts and pullbacks
No hype, no filters, no hidden logic — just a straightforward volume tool rebuilt with the VCAI visual framework.
Use it to quickly spot:
stronger moves backed by genuine participation
weak pushes running on low volume
areas where momentum may stall or accelerate
Part of the VCAI Lite Series.
Swing Trading IndicatorThis script is a swing‑trading dashboard designed for BTC, ETH, S&P 500 (for now). It combines weekly RSI, USDT.D, VIX, moving averages and Fisher Transform into a single visual tool, with background highlights, an on‑chart info table and ready‑made alerts to help you time high‑probability swing entries and manage risk.
1. Overview
The indicator is intended to work on daily timeframe.
Signals are context‑aware: BTC and ETH get USDT.D conditions, SPX gets VIX and EMA‑100 logic, and all non‑ETH symbols can also use Fisher Transform as a mean‑reversion filter.
2. Conditions and background highlights
Each component sets a boolean condition and, when active, paints a background layer:
Weekly RSI condition
True when weekly RSI is below its symbol‑specific threshold.
USDT.D conditions
BTC: triggered when USDT.D is above the user threshold and the chart symbol is BTC.
ETH: same logic for ETH, but tracked separately..
VIX condition (SPX only)
True when VIX high is at or above the VIX threshold while the chart is SPX.
EMA condition (BTC & SPX)
BTC: daily close below EMA‑200.
SPX: daily close below EMA‑100.
Fisher Transform condition (non‑ETH)
Fisher Transform on the chart timeframe, using the configured period.
True when Fisher value is below the Fisher threshold.
3. Intended use and notes
This indicator is designed as a confluence tool for swing traders, not a standalone buy/sell system. It works best on assets that are in a clear uptrend, where the main idea is to accumulate during corrections within that broader bullish structure.
During larger market shocks, deep corrections, or black‑swan events, trend‑based and mean‑reversion filters can produce false signals, because volatility and correlations often behave abnormally in those periods. For that reason, this script should always be combined with independent risk management, higher‑timeframe trend analysis, and your own discretion.
Green to Red Money RailsWhat this indicator does
Green to Red Money Rails (G2R Rails) is a price-action tool that draws dynamic “rails” from recent swing lows and highs. It tracks how support and resistance are shifting so you can see where trend pressure is building or weakening.
Core logic (high level)
Detects pivot lows and stores the last three (L1, L2, L3).
Builds green support “fans”: inner dotted rails L1→L2 and L2→L3, plus a main solid base rail L1→L3.
Detects pivot highs and, when the last high is lower than the previous one, draws a red resistance rail from H2→H3.
Optional labels mark the most recent swing low (“L”) and swing high (“H”).
How to use it
Use the green rails as dynamic support zones for trend-following, pullback entries, or stop placement.
Use the red rail as a visual ceiling in downtrends: breaks above it can signal the end of a sell-off; rejections at it confirm sellers still in control.
Works best on liquid markets and swing-trading timeframes (for example, 1h–1D). Always combine with your own risk management and higher-timeframe context.
This script does not auto-generate signals or manage risk for you; it is a visual framework for reading structure and building your own trading plans.
Structure Breakout - Buy Sell IndicatorStructure Breakout - Buy Sell Indicator
📈 OVERVIEW:
A minimalist indicator that identifies market structure breakouts using swing point analysis.
Displays clear blue buy arrows and red sell arrows when price breaks key swing levels.
🔧 HOW IT WORKS:
1. Identifies swing highs and lows using configurable lookback period
2. Triggers BUY signal (blue arrow) when price closes above previous swing high
3. Triggers SELL signal (red arrow) when price closes below previous swing low
4. Uses clean visual arrows without cluttering the chart
⚙️ KEY FEATURES:
• Clean, uncluttered visual signals
• Customizable sensitivity period
• Blue arrows for buy signals (below bars)
• Red arrows for sell signals (above bars)
• No lagging repainting
• Works on all timeframes
🎯 TRADING APPLICATIONS:
• Swing trading entries
• Breakout confirmation
• Trend continuation signals
• Support/resistance breaks
⚡ SETTINGS:
• Structure Detection Period (default: 20) - Adjust sensitivity of swing detection
⚠️ RISK DISCLAIMER:
This is an educational tool. Always use proper risk management.
Past performance does not guarantee future results.
Swing Trading System v5 - Dynamic SL/Targets with LabelsThe Swing Trading System v5 is a fully-automated swing-trend framework designed to identify high-confidence breakout entries, generate dynamic stop-loss and target levels, and visually label actionable trade zones on the chart.
It adapts to market conditions using structure breaks, EMA trend filters, candle confirmation, and volume expansion signals.
Core Features
1. Swing Breakout Engine (Structure-Based)
The system detects short-term swing highs/lows and evaluates whether price has broken out above resistance or broken down below support.
A directional bias is established using a structure-based confirmation variable and automatically updated trailing stop logic.
2. Trend Filter (EMA 20/50/200)
To avoid counter-trend trades, the engine uses:
EMA-200 for primary trend direction
EMA-20 and EMA-50 for near-term momentum
Signals align only when structure breaks AND the major trend confirm each other.
3. Candle Confirmation
Entry signals require classical reversal momentum patterns:
Bullish Engulfing for long trades
Bearish Engulfing for short trades
This filters out weak structure breaks and ensures institutional momentum.
4. Volume Confirmation
Volume must exceed a configurable SMA-based threshold.
This prevents false signals during low-liquidity or consolidation phases.
Signal Logic
Long Signal Triggers
A Buy signal is printed when:
Price crosses above the dynamic trailing stop (swing resistance)
Price is above EMA-200 (bull trend)
Candle forms a bullish engulfing confirmation
Volume > SMA(10) × Multiplier
Short Signal Triggers
A Sell signal occurs when:
Price crosses below the dynamic trailing stop (swing support)
Price is below EMA-200 (bear trend)
Candle forms a bearish engulfing confirmation
Volume expansion confirms downside momentum
Dynamic Stop-Loss & Profit Targets
When a signal triggers, the system automatically calculates:
Stop-Loss (SL):
Long trades: last swing low
Short trades: last swing high
Target 1 (TP1): 1.5R relative to swing distance
Target 2 (TP2): 3.0R for trend continuation moves
SL, TP1, and TP2 are displayed on-chart using extended line plots and right-side labels for clean visualization.
Labels for old signals are automatically deleted to keep the chart uncluttered.
Visual Components
The indicator provides:
BUY/SELL signal labels
Dynamic SL, TP1, TP2 lines with color coding
SL/TP labels positioned at the end of each new trade
Clean breakout detection based on structural pivots
All elements update automatically as new swings form.
Intended Use
This system is built for:
Swing Traders
Systematic Discretionary Traders
Trend Followers
Breakout/Momentum Traders
Works well on:
Stocks
Crypto
Forex
Indices
Commodities
Optimal timeframes: 1H, 4H, Daily, Weekly
Summary
The Swing Trading System v5 provides:
High-quality breakout entries
Trend-aligned signals
Volume-filtered confirmation
Automated risk-reward generation
Clean and dynamic chart labels
A complete, self-contained swing-trading solution for systematic execution and disciplined risk management.
Empire OS Automated Trading • Institutional-grade executionEmpire OS – 9/40 EMA Dynamic Momentum Strategy
This strategy isn’t just EMAs — it’s a dynamic entry and exit system built around real-time price behavior. The 9/40 EMA setup gives the base trend direction, and the internal engine calculates every entry, stop, and target using recent price action and a 14-ATR volatility model.
Everything adjusts automatically:
• Entries react to momentum shifts based on the 9/40 EMA separation
• Stops tighten or widen based on the current 14-ATR reading
• Targets scale with real market volatility (not fixed numbers)
• Risk-to-Reward is calculated on the fly for cleaner, stronger trades
• Exits are based on structure + volatility, not random lines
Most strategies use fixed stops, fixed R:R, or standard EMA pairs that anyone can copy.
This one adapts to the market in real time — making every trade unique to current conditions.
It’s rare because almost nobody builds a retail strategy that:
Uses a non-standard 9/40 EMA combo
Calculates stops + targets off real volatility
Adjusts risk reward based on live price activity
Filters entries through momentum AND price structure
Keeps drawdown tight while catching high-quality moves
This is the official Empire OS version — built for consistency, momentum accuracy, and prop-firm scalability.
5 DMA Entry Plus5 DMA Entry Plus - Multi-Strategy Entry Signal Indicator
Overview:
The 5 DMA Entry Plus is a versatile entry signal indicator that combines multiple proven technical analysis methods to identify potential buy opportunities. This indicator is designed to be highly customizable, allowing traders to toggle between different entry strategies or combine them for confluence-based entries.
Key Features:
1. Multiple Entry Strategy Options:
Default Close Above Entry: Triggers when price closes above the 5-day moving average (with optional HMA filter)
Green Wick Candle Signal: Identifies bullish candles where the wick pierces above key moving averages, indicating rejection of lower prices
5DMA Zero/Upslope Entry: Generates signals when the 5DMA is flat or sloping upward, confirming momentum
HMA Cross Entry: Triggers when price crosses above the Hull Moving Average, a responsive momentum indicator
2. Adaptive HMA Filter:
Toggle the HMA (Hull Moving Average) filter on or off to adjust signal sensitivity. When enabled, price must be above both the 5DMA and 20 HMA for confirmation. When disabled, only the 5DMA is required, generating more frequent signals.
3. Smart Reset Logic:
The indicator includes intelligent reset functionality that prevents signal spam. Once an entry signal is generated, no new signals appear until price closes below the moving average(s), ensuring clean, actionable entries without clutter.
4. Visual Components:
5-Day Moving Average (Blue Line): The primary trend reference
20-Period Hull Moving Average (Orange Line): Fast-responding momentum filter
Buy Signals (Green Labels): Clear "Buy" labels appear below candles when entry conditions are met
Built-in Alerts: Set up custom alerts to be notified when entry signals trigger
Customizable Inputs:
Use HMA Filter: Enable/disable the 20 HMA confirmation requirement
Include Green Wick Candle Signal: Toggle wick-based entry detection
Use 5DMA Zero/Upslope Entry: Enable slope-based entry logic
Use HMA Cross Entry: Enable HMA crossover signals
HMA Length: Adjust the Hull Moving Average period (default: 20)
Best Use Cases:
Swing trading on daily and 4-hour timeframes
Identifying pullback entries in uptrends
Combining multiple confirmation signals for high-probability setups
Filtering entries in momentum-based strategies
Strategy Flexibility:
This indicator allows you to use each entry method independently or combine multiple methods for confluence. Test different combinations to find what works best for your trading style and the instruments you trade.
Risk Management Note:
This indicator identifies potential entry points but does not provide exit signals or stop-loss levels. Always use proper risk management and combine with your own exit strategy.
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
The Oracle: Dip & Top Adaptive Sniper [Hakan Yorganci]█ OVERVIEW
The Oracle: Dip & Top Adaptive Sniper is a precision-focused trend trading strategy designed to solve the biggest problem in swing trading: Timing.
Most trend-following strategies chase price ("FOMO"), buying when the asset is already overextended. The Oracle takes a different approach. It adopts a "Sniper" mentality: it identifies a strong macro trend but patiently waits for a Mean Reversion (pullback) to execute an entry at a discounted price.
By combining the structural strength of Moving Averages (SMA 50/200) with the momentum precision of RSI and the volatility filtering of ADX, this script filters out noise and targets high-probability setups.
█ HOW IT WORKS
This strategy operates on a strictly algorithmic protocol known as "The Yorganci Protocol," which involves three distinct phases: Filter, Target, and Execute.
1. The Macro Filter (Trend Identification)
* SMA 200 Rule: By default, the strategy only scans for buy signals when the price is trading above the 200-period Simple Moving Average. This ensures we are always trading in the direction of the long-term bull market.
* Adaptive Switch: A new feature allows users to toggle the Only Buy Above SMA 200? filter OFF. This enables the strategy to hunt for oversold bounces (dead cat bounces) even during bearish or neutral market structures.
2. The Volatility Filter (ADX Integration)
* Sideways Protection: One of the main weaknesses of moving average strategies is "whipsaw" losses during choppy, ranging markets.
* Solution: The Oracle utilizes the ADX (Average Directional Index). It will BLOCK any trade entry if the ADX is below the threshold (Default: 20). This ensures capital is only deployed when a genuine trend is present.
3. The Sniper Entry (Buying the Dip)
* Instead of buying on breakout strength (e.g., RSI > 60), The Oracle waits for the RSI Moving Average to dip into the "Value Zone" (Default: 45) and cross back up. This technique allows for tighter stops and higher Risk/Reward ratios compared to traditional breakout systems.
█ EXIT STRATEGY
The Oracle employs a dynamic dual-exit mechanism to maximize gains and protect capital:
* Take Profit (The Peak): The strategy monitors RSI heat. When the RSI Moving Average breaches the Overbought Threshold (Default: 75), it signals a "Take Profit", securing gains near the local top before a potential reversal.
* Stop Loss (Trend Invalidated): If the market structure fails and the price closes below the 50-period SMA, the position is immediately closed to prevent deep drawdowns.
█ SETTINGS & CONFIGURATION
* Moving Averages: Fully customizable lengths for Support (SMA 50) and Trend (SMA 200).
* Trend Filter: Checkbox to enable/disable the "Bull Market Only" rule.
* RSI Thresholds:
* Sniper Buy Level: Adjustable (Default: 45). Lower values = Deeper dips, fewer trades.
* Peak Sell Level: Adjustable (Default: 75). Higher values = Longer holds, potentially higher profit.
* ADX Filter: Checkbox to enable/disable volatility filtering.
█ BEST PRACTICES
* Timeframe: Designed primarily for 4H (4-Hour) charts for swing trading. It can also be used on 1H for more frequent signals.
* Assets: Highly effective on trending assets such as Bitcoin (BTC), Ethereum (ETH), and high-volume Altcoins.
* Risk Warning: This strategy is designed for "Long Only" spot or leverage trading. Always use proper risk management.
█ CREDITS
* Original Concept: Inspired by the foundational work of Murat Besiroglu (@muratkbesiroglu).
* Algorithm Development & Enhancements: Developed by Hakan Yorganci (@hknyrgnc).
* Modifications include: Integration of ADX filters, Mean Reversion entry logic (RSI Dip), and Dynamic Peak Profit taking.
Ultimate Swing Setup Ultimate Swing Setup is designed to educate traders by scoring each bar on a 0-100 scale, helping you identify high-quality long entry opportunities. It simplifies complex market conditions into clear signals—Strong Buy, Buy, Hold, or Avoid—so you can learn to recognise strong setups and make better-informed trading decisions. The indicator highlights only the most promising moments, providing a visual strength band and an easy-to-understand dashboard with live scores and nearby support/resistance levels to guide your learning.
Disclaimer: This script is for educational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Users should exercise caution and conduct their own research before making any trading decisions.
Institutional Edge Pro v1.0 - 9.3/10 ConfidenceEducational 5-layer confirmation system combining institutional order flow concepts, trend analysis, and risk management principles. Features Order Block detection, adaptive stop losses (EMA 9x21), and probability scoring. For educational purposes only.
## ⚡ KEY FEATURES
### 🔍 5-Layer Confirmation System
- **Layer 0:** Market Regime Detection (30% weight) - ADX, Choppiness Index, Volatility, Volume
- **Layer 1:** Golden/Death Cross Trend Filter (20% weight) - EMA 50/200 with gradient confirmation
- **Layer 1.5:** Fast Death Cross Stop Loss - EMA 9/21 dynamic exits
- **Layer 2:** Smart Order Block Detection (20% weight) - Institutional footprint tracking
- **Layer 3:** Probabilistic Confirmations (20% weight) - RSI, MACD, Volume, Structure, Volatility
- **Layer 4:** Dynamic Risk Management (10% weight) - ATR-based adaptive stops
### 📊 Visual Dashboard
- **Regime Score:** 0-100 market health indicator
- **Trend Status:** Real-time BULL/BEAR/NONE classification
- **Trend Quality:** Freshness metric (degrades over time)
- **Order Block Status:** Active OB tracking with validation
- **Probability Scores:** Live Long/Short setup probabilities
Adaptive Support and Resistance LevelsAdaptive Support and Resistance Levels
This indicator is a comprehensive institutional-grade trading tool designed to visualize Auction Market Theory (AMT), Support and Resistance concepts directly on the price chart. It is built for traders who require a deep understanding of market structure without the visual clutter of standard retail indicators.
Key Features:
1] Fractal Adaptive Engine:
The indicator automatically adjusts its calculations based on your timeframe.
-Intraday (1m-15m): Displays Daily Levels.
-Swing/Positional (30m-1H): Displays Weekly Levels.
-Long Term (Daily+): Displays Monthly Levels.
2]Untested Levels:
-Identifies levels from previous sessions that have not been tested by price.
-Extends these levels forward as "Magnets" until price touches them.
-Touch-Delete Logic: Once price interacts with a magnet, the line is automatically removed to keep the chart clean.
3] Institutional Dashboard:
- A "Flight Deck" table in the top-right corner provides real-time metrics:
-Context: Are we inside, above, or below the previous value zone?
-Auction State: Is the current market balanced or imbalanced?
-IB Status: Initial Balance (first 60 mins) breakout/breakdown status.
-Fuel Gauge: Measures current range vs. ADR (Average Daily Range) to gauge exhaustion.
-Volume Flow: Detects high-aggression volume relative to the average.
How to Use:
Trend Following: Look for price breaking out of the (Static Lines) , Pullback rejection, Rejection from the lines.
Reversion: Use the lower lines for bulls reversal and Upper lines for bears reversal ( Kind of reversal candle formation )
Risk Management: Use the ADR Fuel Gauge to avoid buying extended markets (>100% ADR).
Disclaimer: This tool is only for educational and analytical purposes only. Not any recommendation.
SIDD Table Volume multiframe (Modified)🚀 SIDD Volume Table – The Most Powerful Multi-Timeframe Volume Dashboard
Designed by Siddhartha Mukherjee (SIDD)
Free for the community.
Get an unfair edge with the cleanest, fastest, and most accurate multi-timeframe volume analyzer available on TradingView. This tool reveals where buyers and sellers are truly active across multiple timeframes—helping you confirm trends, avoid traps, and enter with confidence.
🔥 Why Traders Love This Indicator
✅ 1. Multi-Timeframe Volume Domination
Instantly view Buy% / Sell% / Total Volume for:
1m • 5m • 15m • 1H • 4H • 1D • 1W
Choose any combination you want!
✅ 2. Advanced Buy/Sell Volume Logic
Not simple volume…
This tool breaks it into:
Buy Volume% (green dominance)
Sell Volume% (red dominance)
Using candle structure (H-L-C), giving far more accurate pressure detection.
✅ 3. Realtime Candle Countdown
Never guess when a candle will close again.
Get:
Seconds (1m)
MM:SS (5m/15m/1H)
DD:HH:MM:SS (4H, 1D, 1W)
Perfect for scalpers, swing traders, and index traders.
✅ 4. Beautiful & Customizable Dashboard
Choose position anywhere on screen
Auto size or choose Tiny → Huge
Color-coded Bias (Green Buyers, Red Sellers)
Clean layout built for modern charts
Your chart stays clean while your data stays powerful.
💡 What This Helps You Identify
Where buyers are gaining strength
Where sellers are dominating
Multi-timeframe alignment (the key to big moves)
Real reversal pressure
Volume divergence across timeframes
Trend confirmation before breakouts
Perfect for:
NIFTY / BANKNIFTY / Stocks / Crypto / FX / Commodities
🧠 Who Should Use This?
Intraday traders
Swing traders
Options traders
Futures traders
Crypto scalpers
Professional volume analysts
If volume matters to you → this indicator becomes a must-have.
🛠 Built with Precision
Non-repainting
Multi-TF aligned
Fast + lightweight arrays
Uses BTC/ETH feed to stabilize ticks
Zero chart clutter
❤️ Free for Everyone
This tool is released 100% free to help the community trade with clarity and confidence.
Leave a like ⭐, comment 💬, or follow if you want more such institutional-grade tools.
⚠️ Disclaimer
This is for educational/analytical use only.
Not financial advice. Trade at your own risk.
