Swing Trade Scanner Setup Grade and VerdictGrades the stock on your chart as a long swing setup — a 0–100 score, an A+ to D grade, and a plain-English verdict.
You've found a stock. Is it actually a setup? Swing Trade Scanner grades the chart in front of you the way a swing trader reads it — trend, momentum, relative strength, volume — and gives you one honest answer: a score, a grade, and a verdict in plain English.
It works on its own — nothing else required.
Why one score instead of five separate indicators?
Every check in this script exists on its own — but alone, each one whipsaws. What makes a swing setup is confluence: trend, momentum, proximity to highs, relative strength, and volume confirming each other at the same time.
The Scanner's contribution is the weighting and the interaction between the checks: MA alignment counts most because trend is what pays swing traders, and the extension penalty can override an otherwise perfect score — because the same chart that grades well near the fast MA is a bad entry 8% above it. That interaction is what a stack of separate indicators won't show you.
What goes into the score (0–100)
Five checks, each weighted by how much it matters:
MA alignment (up to 35 pts) — is price stacked cleanly above the 4-MA ribbon? A full bull stack (price > fast MA > each slower MA) earns full points.
Momentum (up to 20) — how far price has moved over the lookback (60 bars by default).
Distance from the recent high (up to 20) — leaders sit near their highs; a stock 10% below its high has repair work to do first.
Relative strength vs SPY (up to 15) — is the stock beating the market (SPY = S&P 500 ETF), not just rising with it?
Volume (up to 10) — is it trading above its 20-day average?
Then one guardrail: the extension penalty . More than 6% above the fast MA and the score gets docked (−12 points, −20 past 10%). Chasing a stretched chart is how good setups become bad entries — the Scanner won't grade one highly.
The verdict reads in plain English
HIGH QUALITY (score 75+) — everything lined up.
MODERATE (55–74) — decent, not complete.
WEAK (40–54) — most of the checklist is missing.
AVOID (under 40) — not a long setup right now.
EXTENDED / WAIT — the setup grades well BUT price is stretched more than 6% above the fast MA. Good stock, bad moment. Let it pull in.
What you see on the chart
The 4-MA ribbon — four moving averages (EMA 20 / 50 / 100 / 200 by default; EMA, SMA or WMA), with the zone between the two fastest shaded green in an uptrend, red in a downtrend.
Candle coloring (optional) — green in a full bull stack, teal in a partial one, red in a full bear stack, so the trend state reads at a glance.
The dashboard — grade + score up top, then the four core metrics (MA Alignment, 60-bar Momentum, RS vs SPY, Volume Ratio) and the Verdict row.
Long setups only
This tool grades the long (buy) side. On a downtrending chart it won't invent an opportunity — it shows Full Bear and AVOID and tells you to look elsewhere.
Settings — defaults work out of the box
MA ribbon — four lengths, MA type, and colors.
Lookback (60 bars) — the window for momentum, relative strength, and the recent high.
Volume MA length (20).
Table position, text size, dark/light theme, and status colors.
⚠ Educational tool for reading and grading charts. The grade measures how complete a setup is by these rules — it does not generate buy/sell signals or predict price. Not financial advice. 指标
Sector SweeperRanks the 11 sectors and 12 key industries by performance — strongest at the top — so you know where to hunt before you pick a stock.
Strong stocks tend to come from strong groups. Sector Sweeper shows which sectors and industries are leading the market right now, ranked top to bottom on one clean board — so you start your search in the right place instead of guessing.
It works on its own — nothing else required.
How it measures — no black box
Each row pulls that ETF's closing prices and computes its percent change over your lookback window; the lists are then sorted strongest to weakest. No smoothing, no proprietary formula — the value is having all 23 groups measured by the same yardstick, on one board, updated every bar, instead of flipping through 23 charts to build the same picture by hand.
What it shows — two tables
•SECTORS — the 11 S&P sector ETFs (Technology, Financials, Energy, Health Care, …), ranked by performance over your lookback.
•SUB-INDUSTRIES — 12 sharper themes (Semiconductors, Software, Biotech, Oil Services, Gold Miners, Airlines, …), ranked the same way.
Each row shows the ETF and its % move over the lookback. Green = up, red = down, and the #1 in each list is highlighted in gold
How to read it
• Top of the list = where money is flowing. Bottom = what's lagging.
• Use it **top-down**: spot the strongest sector or industry here, then go find the leading stocks inside that group.
• Watch it over time — a group climbing the board is rotating into favor; one sliding down is falling out of it.
Settings — defaults work out of the box
• Lookback (bars ) — the performance window (20 by default ≈ about a month on a daily chart).
• Each table has its own position (default: Sectors = Middle Left, Sub-Industries = Middle Right) plus table size , dark/light theme, and colors.
⚠ Educational tool for market context and planning. It ranks performance — it does not give buy/sell signals or predict price. Not financial advice.
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RS Rating (Relative Strength) - Clean Table UIThis indicator calculates the Relative Strength (RS) Rating of a stock compared to the S&P 500 (SPY) and displays it as a clean, simple numerical value in a customizable table on your chart.
Unlike many complex swing data indicators that clutter your screen with moving averages, background colors, and multiple data points, this script is specifically designed for minimalist traders, day traders, and scalpers who only need to see the core RS Rating score at a single glance.
How It Works:
Core Calculation: It uses the standard weighted formula for 1-year performance (40% for the most recent quarter, and 20% for each of the previous three quarters) compared against the S&P 500 benchmark.
Percentile Ranking (1-99): Using market environment seed data, the raw score is converted into a true 1 to 99 percentile ranking. For example, an RS Rating of 85 means the stock is currently outperforming 85% of the overall market.
Color-Coded Signals: The numerical value automatically changes color based on the stock's momentum:
Green (>= 80): Strong market leader.
Red (<= 40): Weak laggard.
Custom/White: Neutral performance.
Features:
Zero Chart Clutter: No lines or shapes plotted over your candles. Just a single, elegant table.
Fully Customizable: You can easily change the table's position (Top/Bottom, Left/Right) and text size (Normal, Large, Huge) directly from the indicator settings to fit your exact workspace layout.
(Credits to the original open-source community and Fred6724 for the percentile mapping seed function utilized to power this clean UI version). 指标
Williams VIX Fix Elite [MarkitTick]💡 The Williams VIX Fix Elite is a comprehensive, overlay-based technical analysis system designed to bring the powerful volatility-tracking properties of the traditional Williams VIX Fix directly onto the main price chart. By synthesizing statistical volatility extremes with an array of multi-timeframe trend filters, volume confirmation parameters, and dynamic risk management plotting, this tool transcends basic observation. It provides traders with a complete, structured methodology for identifying high-probability exhaustion zones and potential market reversals while strictly managing risk.
✨ Originality and Utility
Standard volatility indicators are almost exclusively relegated to separate oscillator panes at the bottom of the chart. This traditional placement forces the user to constantly shift their visual focus, often leading to a disconnect between volatility metrics and actual price action. This indicator resolves that friction by mapping volatility exhaustion directly onto the candlesticks themselves through an intuitive color-coded heatmap.
Furthermore, the utility of this script lies in its holistic approach to signal generation. Rather than providing isolated volatility alerts, it acts as a confluence engine. It mandates that a volatility spike must be corroborated by higher timeframe trend alignment, adequate localized volume, directional momentum, and specific standard deviation thresholds before generating an actionable signal. This transforms a simple oscillator concept into a robust, chart-integrated trading framework complete with dynamically calculated risk-to-reward parameters, rendering it highly useful for both discretionary analysis and automated alert integrations.
🔬 Methodology and Concepts
● The Volatility Engine
• Williams VIX Fix (WVF)
At its core, the script calculates the Williams VIX Fix. It does this by measuring the percentage drawdown of the current bar's low from the highest closing price over a user-defined lookback period. This mathematical approach creates a synthetic volatility index that mirrors the behavioral characteristics of the CBOE VIX, where high values indicate market fear and potential bottoms.
• Statistical Bounds
To determine when the WVF has reached a statistically significant extreme, the script applies Bollinger Bands to the WVF data. It calculates a Simple Moving Average (SMA) of the WVF and plots standard deviation bands around it. A "Spike" is registered when the WVF value breaches the upper Bollinger Band or a percentile-based historical high threshold.
● Confluence Filtering
• Higher Timeframe (HTF) Alignment
The script extracts moving average data from a user-selected higher timeframe. It assesses whether the higher timeframe's closing price and dual-period EMAs exhibit a bullish or bearish hierarchy, ensuring signals are not taken against the macro-directional flow.
• Volatility and Volume Validation
A signal is only considered valid if the localized volatility, measured by the Average True Range (ATR), exceeds its historical average multiplied by a strict threshold. Additionally, the localized volume must exceed its moving average, confirming that the reversal is backed by market participation.
• Signal Execution and Risk Logic
When all conditions align (a volatility spike followed by a directional reversal candle, validated by all filters), the script locks in the signal upon the bar's close. It immediately calculates a Stop Loss utilizing an ATR multiplier and projects three Take Profit levels mathematically derived from user-defined Risk-to-Reward (R:R) ratios.
🎨 Visual Guide
● Chart Overlay Elements
• Candlestick Heatmap
The indicator repaints the standard chart candles to reflect the immediate signal bias. A confirmed Long signal colors the candlestick body, borders, and wicks in a distinct bullish hue (default teal). Conversely, a confirmed Short signal paints the candle in a bearish hue (default red). Neutral periods retain a standard gray tone.
• Dynamic Trade Levels
Upon signal confirmation, the script automatically plots horizontal lines detailing the trade parameters:
Stop Loss Line: A solid, thick line plotted below (for longs) or above (for shorts) the entry price, acting as the primary risk invalidation level.
Entry Line: A dashed line marking the exact closing price of the signal candle.
Take Profit Lines: Three sequential dashed lines representing TP1, TP2, and TP3, mapping out the reward targets.
The space between the Stop Loss and Entry is highlighted with a semi-transparent risk linefill, while the space extending toward the Take Profit targets is highlighted with a reward linefill, visually contrasting the risk against the potential payout.
● The Interactive Dashboard
A dedicated data panel is rendered on the chart (default top-right) providing real-time telemetry of the script's internal calculations.
WVF Value & Spike Level: Displays the raw volatility index number alongside a visual progress bar indicating how close the current value is to the historical threshold.
HTF & Trend Bias: Textually confirms the current macro and localized trend alignment (Bullish/Bearish).
Volume & ATR: Confirms whether current volume is above or below average and displays the exact ATR value.
R:R Ratio: A visual gauge of the current signal's risk-to-reward structure.
Cooldown Status: Displays the remaining bars before a new signal can be generated, preventing over-signaling during congested price action.
📖 How to Use
● Execution Protocol
• Step 1: Signal Identification
Wait for a colored signal candle to print on the chart. A teal candle signifies a Long opportunity, while a red candle signifies a Short opportunity. Always wait for the candle to fully close, as signals are only validated upon bar confirmation to ensure accuracy.
• Step 2: Dashboard Verification
Consult the on-chart dashboard. Ensure that the "Spike Level" gauge was heavily filled prior to the signal, and visually confirm that the "HTF Bias" and "Trend Bias" align with your intended trade direction. Verify that the "Volume" metric indicates "Above Avg" for optimal setup quality.
• Step 3: Risk Assessment
Observe the plotted trade levels. The visual linefills will immediately show you the required risk (the distance from the dashed Entry line to the solid Stop Loss line). Assess whether this required risk fits within your personal account parameters. If the ATR has expanded too aggressively, the stop loss may be too wide, and the setup should be skipped.
• Step 4: Trade Management
If the trade is entered, utilize the plotted TP1, TP2, and TP3 lines as scaling-out points. The script also includes automated JSON alert outputs designed for third-party execution platforms, allowing users to fully automate the Long, Short, and Take Profit hit actions.
⚙️ Inputs and Settings
● Core Settings
• WVF Lookback: Defines the historical period used to find the highest close for the volatility drawdown calculation.
• BB Length & BB Mult: Controls the Simple Moving Average length and the standard deviation multiplier applied to the WVF. Lowering the multiplier increases sensitivity to volatility spikes.
• Percentile HH Lookback & High % Threshold: An alternative absolute-threshold filter based on a percentage of the highest historical WVF values.
● Filters
• HTF Resolution: Select the specific higher timeframe used for the macro trend validation.
• ATR Length & Min Mult: Defines the lookback for the Average True Range and the multiplier required to validate adequate localized volatility.
• Min Spike Above BB %: A Z-score threshold ensuring the volatility spike is mathematically severe before triggering a signal.
• Volume Avg Length & Min Mult: Dictates the volume moving average parameters required for trade confirmation.
• Cooldown Bars: The mandatory resting period (in bars) between valid signals to eliminate redundant alerts.
● Trade Tools & Alerts
• SL ATR Mult: The multiplier applied to the current ATR to calculate the Stop Loss distance from the entry price.
• TP1, TP2, TP3 R-Multiple: Dictates the reward distance for target lines relative to the calculated Stop Loss risk.
• Alert Actions: String inputs allowing the user to customize the JSON payload commands sent to automated webhook services.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Behavioral Finance and Volatility Asymmetry
The underlying architecture of this indicator is deeply rooted in the academic principles of behavioral finance, specifically the asymmetry of market participant reactions. Financial markets typically exhibit a "stealth" characteristic during uptrends (low volatility, steady buying) and a "panic" characteristic during downtrends (high volatility, aggressive selling). The Williams VIX Fix capitalizes on this behavioral asymmetry by focusing exclusively on drawdowns from peak closes. By quantifying this localized panic, the script provides a mathematical representation of capitulation—a state where sell-side liquidity is exhausted, and rational market equilibrium is poised to return.
● Gaussian Distribution and Standard Deviation Anomalies
To objectively define an "exhaustion point," the script relies on the statistical concept of normal distribution. By applying a Simple Moving Average to the raw volatility data, it establishes a baseline mean of market stress. The inclusion of Standard Deviation bands (Bollinger Bands) allows the system to measure dispersion from this mean. When the volatility index breaches the upper band, it represents an anomaly—an event occurring outside the expected standard deviation threshold. Statistically, extreme deviations from the mean are unsustainable, implying an imminent reversion. This indicator isolates these rare deviations to time market entries.
● The Role of True Range in Risk Normalization
Risk management within the script is governed by the Average True Range (ATR), a concept introduced by J. Welles Wilder. The True Range accounts for absolute price movement, including gap openings, providing a more comprehensive measure of market kinetic energy than standard percentage changes. By tying the Stop Loss and Take Profit levels dynamically to the ATR, the script automatically normalizes risk across different market environments. In a highly volatile state, the ATR expands, naturally widening the stop loss to avoid premature invalidation from market noise. In a compressed state, the ATR contracts, tightening the risk parameters. This dynamic adaptation ensures that the statistical risk profile of each trade setup remains proportional to the current localized market geometry.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. 指标
Swing Ladder Trend Engine [Jayadev Rana]OVERVIEW
Swing Ladder Trend Engine is a pure price-action trend-following tool. It builds its entire read of the market from confirmed swing highs and swing lows — no moving averages, no ATR, no oscillators. From that swing structure it derives three things: the current trend state, entry and exit signals, and a structure-anchored trailing stop (the "ladder") that only steps in the direction of the trade.
HOW IT WORKS
1. Swing structure. Confirmed pivot highs and lows (Swing Detection Length bars on each side) are classified as HH, HL, LH or LL and tagged on the chart.
2. Trend engine. When a bar closes beyond the most recent confirmed swing high, the trend state flips bullish; a close below the last confirmed swing low flips it bearish. Each swing level can only be broken once, so continuation breaks are tracked cleanly and bars are tinted by the active trend.
3. Ladder stop. Instead of a volatility trail, the stop is anchored to structure itself: in an uptrend it sits below the last confirmed swing low, offset by a configurable percentage of the current swing range, and it can only ratchet upward as new higher lows confirm. The result is a stepped "ladder" that gives the trade room where structure says it needs room, and tightens where structure tightens.
4. Pullback-quality entries. In the default Pullback mode a structure break only arms a setup. The entry itself requires the market to retrace into the breakout leg (between the Min and Max Retracement %), and then print a resumption candle: a close beyond the previous bar's extreme with a directional body of at least the Trigger Body Dominance fraction of its range. Retracements deeper than the maximum void the setup. A Breakout mode is included for traders who prefer to enter on the structure break itself.
SIGNALS: ENTRY, EXIT AND STOP
LONG / SHORT labels mark entries; the label tooltip stores the entry price and the ladder stop at that moment. A trade is closed either when price closes through the ladder stop or when the structure flips against it — the ✕ exit label's tooltip reports the reason and the approximate result in R (risk multiples, measured from entry to the initial ladder stop). All signals are evaluated on confirmed bars only.
DASHBOARD AND ALERTS
A compact dashboard shows the live trend state, the latest swing structure tags, the active signal, the current ladder stop level and the open trade's running R. Six alerts are available: long entry, short entry, exit long, exit short, and bullish/bearish trend flips.
SETTINGS
Swing Detection Length controls the size of the structure being tracked (larger = bigger swings, later confirmation). Entry Mode switches between Pullback and Breakout logic. Min/Max Retracement % and Trigger Body Dominance define what counts as a quality pullback entry. Stop Buffer sets how far beyond the protected swing the ladder sits, as a % of the current swing range. Dashboard position/size, structure labels, bar coloring and colors are all configurable.
LIMITATIONS
Swing points confirm only after the chosen number of right-side bars, so structure tags appear with a delay by design — this is what keeps the logic non-repainting on confirmed bars. Signals fire on bar close, not intrabar. Like any trend-following method, it gives back ground in choppy, range-bound conditions; the pullback filters reduce but do not remove that. R values shown in tooltips and the dashboard are approximations based on closing prices and do not account for gaps, fees or slippage. This is an analysis tool, not financial advice — always test settings on your own market and timeframe before relying on them.
WHY IT IS ORIGINAL
The combination of a swing-anchored ratcheting stop whose buffer adapts to the current swing range, plus an entry gate built from retracement depth and candle body dominance — all derived exclusively from raw price structure — is what this script contributes. It is not a mashup of built-in indicators; every state in the engine comes from the swing ladder itself. 指标
Bitcoin Halving Cycle Strategy [Gabremoku]This script is a Bitcoin cycle timing indicator built around the historical halving structure.
The core idea is simple:
- define a Buy window a fixed number of days before each halving,
- define a Sell window a fixed number of days after each halving,
- project the next key dates directly on the chart.
The indicator does not try to predict price with oscillators, momentum formulas, or future-looking data. Instead, it focuses on a structural market rhythm that many Bitcoin traders monitor: the recurring supply shock created by halvings.
How it works
- The script uses known historical Bitcoin halving dates.
- It calculates a Buy date at halving minus N days.
- It calculates a Sell date at halving plus N days.
- It draws vertical reference lines for Buy, Halving, and Sell events.
- It plots historical labels on the actual event bars.
- It projects the upcoming Buy, Sell, and Halving labels forward to their own future dates on the chart.
- A dashboard summarizes the active cycle, next key date, and remaining days.
What makes this script useful
Most halving tools only mark the halving date itself. This script expands the concept into a complete cycle timeline by transforming each halving into three practical timing landmarks:
1. accumulation window before halving,
2. halving anchor point,
3. distribution window after halving.
This makes the script more useful for traders and investors who want a visual cycle map instead of a single event marker.
How to use it
- Apply it on BTCUSD or BTCUSDT.
- Daily and weekly charts are the most readable timeframes for this model.
- Use "Buy Days Before Halving" to control how early the accumulation window begins.
- Use "Sell Days After Halving" to control how long the post-halving window extends.
- Use the projected labels to monitor the next cycle dates in advance.
- Use the dashboard to read the current phase quickly.
Included features
- Historical halving timeline
- Buy and Sell event mapping
- Future projected labels positioned on future dates
- Optional cycle range highlighting
- Dashboard with next Buy, next Sell, next Halving, and countdown
- Custom colors and label controls
Important notes
- This script is a cycle visualization tool, not financial advice.
- It does not guarantee future market behavior.
- The projected future halving date is used as a timeline estimate for planning and visualization only.
- Past cycle behavior does not guarantee similar future performance.
- For clarity and to avoid misleading output, this script should be used on standard candlestick charts.
This publication is intended to provide a clean and practical timing framework for Bitcoin traders who study halving-driven market cycles rather than signal-based entry systems. 指标
YES RSI + BB SniperYES RSI + BB Sniper — Mean-Reversion Setup Tool with Auto Entry/SL/Targets
What it does:
This indicator combines RSI and Bollinger Bands to identify mean-reversion setups, then automatically plots a complete trade plan — Entry, Stop Loss, and three Targets — with a live dashboard tracking every level.
Signal Logic:
LONG: Price tags the lower Bollinger Band AND RSI crosses back above the oversold level (default 30) — exhaustion + momentum shift confirmation
SHORT: Price tags the upper band AND RSI crosses back below overbought (default 70)
Optional EMA-200 trend filter to trade only with the larger trend
Auto Trade Levels:
Entry: Signal candle close
Stop Loss: Beyond the band/swing extreme with an ATR-based buffer (adjustable)
Target 1: BB Basis (the mean — natural magnet in mean-reversion), minimum 1R
Target 2: Opposite band, minimum 2R
Target 3: Configurable Risk:Reward runner (default 1:3)
Dashboard shows: Signal status with bar count, RSI value, %B, Bandwidth (squeeze detection below 4%), trend direction, all trade levels with real-time hit-tracking (✔/✖), and Risk:Reward ratios.
Alerts: Built-in alert conditions for both LONG and SHORT setups.
How to use: Works best on Daily and 1H timeframes for swing trades. Wait for the signal candle to close, verify the R:R on the dashboard suits your plan, and always size positions according to your risk management.
This is an educational tool, not financial advice. Always do your own analysis before trading.
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Bedaiwi's Smart PivotsBedaiwi's Smart Pivots is a three-level market-structure indicator that classifies price turning points as Minor, Intermediate, and Major highs and lows.
HOW IT WORKS
Minor Pivots
A Minor High is confirmed when the middle bar of a three-bar formation has a high that is strictly higher than the highs immediately before and after it.
A Minor Low is confirmed when the middle bar has a low that is strictly lower than the lows immediately before and after it.
Equal highs and equal lows are not treated as Minor pivots.
Intermediate Pivots
Intermediate pivots are derived from confirmed sequences of Minor pivots.
An Intermediate High is identified when a higher Minor High is followed by a lower Minor High.
An Intermediate Low is identified when a lower Minor Low is followed by a higher Minor Low.
Major Pivots
Major pivots apply the same hierarchical logic to confirmed Intermediate pivots.
A Major High is identified when a higher Intermediate High is followed by a lower Intermediate High.
A Major Low is identified when a lower Intermediate Low is followed by a higher Intermediate Low.
SYMBOLS AND COLORS
- Red diamond: Intermediate High
- Green diamond: Intermediate Low
- Red exclamation mark: Major High
- Green exclamation mark: Major Low
Optional Minor pivots use the same High and Low color settings.
When the replacement option is enabled, an Intermediate symbol is removed and replaced with an exclamation mark if the same point is later promoted to Major status.
HISTORICAL PLOTTING AND CONFIRMATION DELAY
Pivot identification requires subsequent price information.
A Minor pivot is confirmed only after the following bar closes. Intermediate and Major pivots require additional confirmed pivot sequences, so their confirmation occurs later.
After confirmation, the indicator places the symbol on the historical bar where the relevant high or low occurred. Therefore, a symbol displayed on an earlier bar was not necessarily available in real time on that bar.
Historical placement is used only to show the actual location of the confirmed turning point. It should not be interpreted as a signal that was known on the historical pivot bar.
SETTINGS
Users can:
- Show or hide Minor pivots
- Show or hide Intermediate pivots
- Show or hide Major pivots
- Replace an Intermediate symbol when it becomes a Major pivot
- Customize High and Low pivot colors
PRACTICAL USE
Smart Pivots can help users:
- Study market structure
- Identify significant historical swing highs and lows
- Separate short-term fluctuations from higher-level price structure
- Review possible support and resistance areas
- Add context to discretionary price-action analysis
LIMITATIONS
Smart Pivots is an analytical indicator. It does not place trading orders and does not define entries, exits, stop-loss levels, profit targets, position sizing, or expected returns.
Pivot confirmation is delayed by design because later price action is required. Results may vary between symbols, timeframes, sessions, and data feeds.
The indicator does not identify final market tops or bottoms with certainty. Historical observations do not guarantee future market behavior.
This script is provided for research and educational purposes only. It is not financial or investment advice. 指标
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Buy-Sell with Liquidity Breakout PRO using Volume Confluence# Liquidity Breakout PRO with Volume Confirmation — Swing Edition
A professional major swing breakout indicator designed to identify important liquidity breakout and breakdown zones using confirmed swing highs, confirmed swing lows, volume confluence, smart stop-loss modes, Fibonacci-based targets, and historical risk-reward boxes.
This indicator is built for traders who want cleaner breakout signals, structured trade planning, and visual performance review directly on the chart.
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## What This Indicator Does
Liquidity Breakout PRO helps identify major breakout and breakdown opportunities after price crosses an important confirmed swing level.
Instead of reacting to every small move, this indicator focuses on major swing highs and swing lows. These levels often act as liquidity zones where stop orders, breakout traders, and institutional activity may become visible.
When price closes above a confirmed major swing high, the indicator marks a bullish breakout setup.
When price closes below a confirmed major swing low, the indicator marks a bearish breakdown setup.
Each confirmed signal comes with:
✅Entry level
✅Stop-loss level
✅Fibonacci-based target levels
✅Risk zone
✅Reward zone
✅Historical risk-reward box
✅Volume confirmation
✅Dashboard panel
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## Core Concept
Markets often move from one liquidity zone to another.
A major swing high usually represents an area where sellers previously defended price. When price closes above that area with volume confirmation, it may suggest breakout strength.
A major swing low usually represents an area where buyers previously defended price. When price closes below that area with volume confirmation, it may suggest breakdown weakness.
This indicator is designed around that simple idea:
✅Identify major liquidity level
✅Wait for confirmed close beyond that level
✅Check volume confluence
✅Plot entry, stop loss, and Fibonacci targets
✅Keep the setup on chart for future performance review
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## Key Features
📊 1. Major Swing Detection
The indicator uses confirmed pivot highs and pivot lows to identify important swing levels.
These are not random support and resistance lines. They are confirmed swing points based on user-defined left and right pivot strength.
This helps reduce noise and focuses only on important market structure level s.
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📊 2. Non-Repainting Logic
Signals are generated only after candle close.
The indicator uses confirmed pivot levels and candle-close breakout confirmation. This means signals are not designed to appear and disappear during live candle movement.
Important note: pivot-based swing levels naturally confirm after the selected right-side candles are completed. This delay helps improve swing reliability and reduces false signals.
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📊 3. Volume Confluence
Breakout signals become stronger when supported by volume.
The indicator includes a volume filter that checks whether current volume is greater than the average volume multiplied by the selected volume multiplier.
This helps avoid weak breakout attempts where price crosses a level without strong participation.
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📊 4. ATR Breakout Buffer
Many breakouts fail because price barely crosses a level and then quickly reverses.
To reduce such weak signals, the indicator includes an optional ATR-based breakout buffer.
This means price must close beyond the swing level with a minimum volatility-adjusted distance before a signal is generated.
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📊 5. Multiple Stop-Loss Modes
Different traders use different stop-loss styles, so this indicator provides multiple SL calculation modes.
Available stop-loss modes:
✅Previous Candle
✅ATR
✅Major Swing Level
✅Breakout Candle
✅Previous Candle + ATR Buffer
This gives flexibility for intraday traders, swing traders, and positional traders.
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## Stop-Loss Modes Explained
📊 Previous Candle
For a buy breakout, stop loss is placed below the previous candle low.
For a sell breakdown, stop loss is placed above the previous candle high.
This is useful for traders who prefer tighter and structure-based stop losses.
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📊 ATR
For a buy breakout, stop loss is calculated below entry using ATR.
For a sell breakdown, stop loss is calculated above entry using ATR.
This is useful for traders who want volatility-adjusted stop losses.
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📊Major Swing Level
For a buy breakout, stop loss is placed near the last confirmed major swing low.
For a sell breakdown, stop loss is placed near the last confirmed major swing high.
This is useful for traders who prefer wider structure-based stops.
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📊 Breakout Candle
For a buy breakout, stop loss is placed below the breakout candle low.
For a sell breakdown, stop loss is placed above the breakout candle high.
This is useful when traders want the breakout candle itself to define risk.
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📊 Previous Candle + ATR Buffer
This mode uses the previous candle high or low with an added ATR cushion.
For a buy breakout, stop loss is placed below the previous candle low with ATR buffer.
For a sell breakdown, stop loss is placed above the previous candle high with ATR buffer.
This is a balanced stop-loss method because it gives slightly more breathing room than a pure previous candle stop.
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##Separate Fibonacci Target Calculation
One important feature of this indicator is that Fibonacci targets are calculated separately from stop loss.
This means if stop loss becomes wider, targets do not automatically become wider.
Targets are based on a separate target range calculation, not on risk distance.
This avoids unrealistic target expansion when using wide stop-loss methods.
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## Fibonacci Target Base Options
The indicator provides different target base modes:
✅Major Swing Range
✅Breakout Candle Range
✅ATR Range
📊Major Swing Range
Targets are calculated using the range between the latest major swing high and major swing low.
This is suitable for swing trading and higher timeframes.
📊Breakout Candle Range
Targets are calculated using the breakout candle range.
This is useful for intraday traders who want more practical and closer targets.
📊 ATR Range
Targets are calculated using ATR.
This gives volatility-adjusted target levels.
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## Risk-Reward Boxes
Every confirmed signal plots a visual risk-reward structure on the chart.
✅The red box shows the risk zone.
✅The green box shows the reward zone.
✅Fibonacci target zones are displayed visually so traders can instantly understand where TP1, TP2, and TP3 are placed.
Historical boxes can remain on the chart, allowing traders to review past signal performance visually. Those who dont want any noise on the chart can opt out from historical boxes in the Settings menu.
This helps users observe:
✅Which signals reached target
✅Which signals hit stop loss
✅How price reacted after breakout
✅How often TP1, TP2, or TP3 was reached
✅Whether breakout continuation was strong or weak
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## Visual Features
This indicator includes multiple visual enhancements:
✅Premium color themes
✅Risk-reward box styles
✅Layered Fibonacci target zones
✅Signal candle highlight
✅Breakout background flash
✅Signal glow effect
✅Custom line styles
✅Dashboard panel
✅Historical setup plotting
These features are designed to make the chart more readable, more professional, and easier to analyze.
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## Best Default Settings
For a balanced setup:
Pivot Left Strength: 20
Pivot Right Strength: 20
ATR Breakout Buffer: ON
ATR Buffer Multiplier: 0.15
Volume Confluence: ON
Volume Multiplier: 1.3
Stop Loss Mode: Previous Candle + ATR Buffer
SL Buffer ATR Multiplier: 0.20
Fibonacci Target Base: Major Swing Range
Targets: 1.0 / 1.618 / 2.618
Keep Previous Target/SL Boxes: ON
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## Suggested Intraday Settings
For 15-minute or lower timeframes:
Pivot Left Strength: 10
Pivot Right Strength: 10
ATR Breakout Buffer: 0.10
Volume Multiplier: 1.2
Stop Loss Mode: Previous Candle or Previous Candle + ATR Buffer
Fibonacci Target Base: Breakout Candle Range
Risk-Reward Box Extension: 20–25 bars
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## Suggested Swing Trading Settings
For 1H, 4H, or daily charts:
Pivot Left Strength: 20–30
Pivot Right Strength: 20–30
ATR Breakout Buffer: 0.15–0.30
Volume Multiplier: 1.3–1.5
Stop Loss Mode: Previous Candle + ATR Buffer or Major Swing Level
Fibonacci Target Base: Major Swing Range
Risk-Reward Box Extension: 25–40 bars
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## How To Use
1. Wait for a major swing high or swing low to form.
2. Let price break and close beyond the swing level.
3. Check whether the signal is volume confirmed.
4. Observe the plotted entry, stop loss, and Fibonacci targets.
5. Use the risk-reward box to understand the trade structure.
6. Avoid taking signals directly into strong nearby support or resistance.
7. Use higher timeframe trend direction for stronger confirmation.
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## Bullish Signal
A bullish breakout signal appears when price closes above a confirmed major swing high with required confluence.
This suggests that buyers may be taking control above a previous liquidity zone.
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## Bearish Signal
A bearish breakdown signal appears when price closes below a confirmed major swing low with required confluence.
This suggests that sellers may be taking control below a previous liquidity zone.
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## Best Use Cases
📊Breakout trading
📊Liquidity breakout analysis
📊Market structure trading
📊Swing high and swing low breakout setups
📊Intraday breakout confirmation
📊Multi-timeframe analysis
📊Risk-reward planning
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⚠️ Important Notes
⚠️ No indicator can predict the market with certainty.
⚠️ This tool is designed to help with structure, confirmation, and visual trade planning.
⚠️ Always combine signals with market context, higher timeframe direction, support and resistance, risk management, and your own trading plan.
⚠️ Avoid using any breakout signal blindly. This indicator itself suggests that using Stoploss is more important than Targets. Always use stoploss to protect the capital.
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Trading Rules & Best Practices
✅ When to Use This Indicator
Trend-Following Setups: Use on trending charts where swing levels have clear structure
Breakout Trading: Ideal for breakout traders targeting support/resistance breaks
Range Identification: Works well when price oscillates between major highs/lows
Multi-Timeframe Analysis: Use higher timeframes (4H, 1D) to identify major swings for entry on lower timeframes
⚠️ When NOT to Use
Choppy/Ranging Markets: In sideways markets, many false breakouts may occur
Low Liquidity Assets: Volume filter may never trigger; consider disabling it
Highly Volatile Instruments: Increase ATR buffer multiplier to reduce noise
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## Risk Disclaimer
This indicator is for educational and analytical purposes only. It does not provide financial advice, investment advice, or guaranteed trading signals.
Trading and investing involve risk. Always use proper risk management and do your own analysis before taking any trade.
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Test it on different timeframes and comment which SL mode works best for your trading style.
Feedback and improvement suggestions are welcome. 指标
DAX Universe Relative Strength [JS]DAX Universe Relative Strength
This indicator compares the current stock with an equal-weighted German stock market benchmark consisting of DAX, MDAX, SDAX and TecDAX.
Instead of comparing a stock only with one single index, the script creates a broader DAX Universe benchmark by calculating the average performance of the four major German equity indices over a selected lookback period.
The goal is to identify whether a stock is showing relative strength or relative weakness versus the broader German stock universe.
How it works:
1. The script measures the performance of the current stock over the selected comparison period.
2. It measures the performance of DAX, MDAX, SDAX and TecDAX over the same period.
3. It calculates the equal-weighted average performance of these four indices.
4. It compares the stock’s performance with this benchmark.
5. The result is plotted as a relative strength line.
Interpretation:
- RS above 0:
The stock is outperforming the DAX Universe benchmark.
- RS below 0:
The stock is underperforming the DAX Universe benchmark.
- RS above its moving average:
Relative strength is improving.
- RS below its moving average:
Relative strength is weakening.
- Strong RS signal:
The stock is above the benchmark, above its RS moving average, and the RS moving average is rising.
This indicator is designed as a filter, not as a standalone buy or sell signal.
For pullback and swing trading, I use it to identify stocks that are stronger than the broader German market. A strong RS reading does not mean that a stock should be bought immediately. It only means that the stock deserves attention and may be worth adding to a watchlist.
A complete trade setup should also include:
- constructive trend structure
- price above important moving averages
- controlled pullback
- declining selling pressure
- clear pivot or trigger
- defined stop-loss
- attractive risk/reward ratio
The indicator includes:
- relative strength line
- moving average of the RS line
- zero line
- histogram
- background highlighting
- interpretation label
- alert conditions for RS changes
Suggested use cases:
- screening German stocks
- comparing DAX, MDAX, SDAX and TecDAX stocks
- identifying potential market leaders
- filtering pullback candidates
- avoiding stocks with persistent relative weakness
Important:
This script is for educational and analytical purposes only. It does not provide investment advice, buy signals or sell signals. Always combine relative strength analysis with your own chart analysis, risk management and trading plan. 指标
SQZ SCAN & EMA Ride Scanner - AshishShort Description
A dual-mode EMA9/21/50 trend-ride scanner with volume classification and a relative-strength "Grinder Mode" for stocks that trend without ever coiling tight enough to trigger a squeeze. Use alongside its companion, SQZ_SCAN, for momentum timing.
What it does
EMA Ride Scanner V2.a finds stocks in a clean, established uptrend and flags healthy pullback zones to buy — instead of chasing breakouts after the move has happened. Built on ideas from Qullamaggie's Episodic Pivot framework, Stockbee's price-neglect filter, and VCPSwing's 10/20-MA ride philosophy. It checks: EMA9>21>50 stack alignment, minimum ride duration, distance from 52-week low, and volatility contraction. Volume bars are color-coded as EP surges, distribution, or healthy dips.
Two modes (single toggle)
Standard Mode (toggle OFF) — for stocks that coil and release. Flags a 0-5% pullback to EMA9, ideally on light volume. Pair with SQZ_SCAN for the breakout-timing signal.
Grinder Mode (toggle ON) — for stocks that never coil. Some strong trends have such low, steady volatility that they never compress enough to trigger a squeeze — by the time SQZ_SCAN fires, they've already run too far from EMA9 to count as a dip. Grinder Mode drops the squeeze requirement and instead checks: low ATR, long ride above EMA21, and meaningful outperformance vs a benchmark index (momentum begets momentum). If price is also near EMA9/21, it flags a Grinder Setup.
Note: cloud-bounce count is shown for visual reference only, not used as a filter — low-ATR stocks often show very few bounces simply because they ride EMA9 continuously rather than dipping and recovering.
Companion: SQZ_SCAN
SQZ_SCAN (LazyBear Squeeze Momentum, normalized to % of price for cross-stock comparison) shows when volatility compression releases into a confirmed move — WATCH (squeeze building, qualifying bar count reached), EARLY FIRE (momentum just turned positive inside the squeeze), or BUY (squeeze fired + momentum green & rising + volume surge confirmed).
Workflow:
Screen with EMA Ride Scanner (Standard Mode) for clean pullback candidates.
Check SQZ_SCAN on each — prioritize WATCH/EARLY FIRE/BUY.
Separately, screen Grinder Mode for low-volatility names — don't require SQZ confirmation here, it structurally won't fire for this archetype.
Sanity-check on hourly before entry — only to rule out an active breakdown, not as a hard gate. Both indicators are daily-timeframe tools; hourly readings are noisy and shouldn't override a valid daily setup.
What this isn't
A screening tool, not a full trading system — no buy/sell signals, no risk management built in. Combine with your own entry timing, sizing, and stops. 指标
EMA Ride Scanner V2.a (Toggle) - AshishShort Description
A dual-mode EMA9/21/50 trend-ride scanner with volume classification and a relative-strength "Grinder Mode" for stocks that trend without ever coiling tight enough to trigger a squeeze. Use alongside its companion, SQZ_SCAN, for momentum timing.
What it does
EMA Ride Scanner V2.a finds stocks in a clean, established uptrend and flags healthy pullback zones to buy — instead of chasing breakouts after the move has happened. Built on ideas from Qullamaggie's Episodic Pivot framework, Stockbee's price-neglect filter, and VCPSwing's 10/20-MA ride philosophy.
It checks: EMA9>21>50 stack alignment, minimum ride duration, distance from 52-week low, and volatility contraction. Volume bars are color-coded as EP surges, distribution, or healthy dips.
Two modes (single toggle)
Standard Mode (toggle OFF) — for stocks that coil and release. Flags a 0-5% pullback to EMA9, ideally on light volume. Pair with SQZ_SCAN for the breakout-timing signal.
Grinder Mode (toggle ON) — for stocks that never coil. Some strong trends have such low, steady volatility that they never compress enough to trigger a squeeze — by the time SQZ_SCAN fires, they've already run too far from EMA9 to count as a dip. Grinder Mode drops the squeeze requirement and instead checks: low ATR, long ride above EMA21, and meaningful outperformance vs a benchmark index (momentum begets momentum). If price is also near EMA9/21, it flags a Grinder Setup.
Note: cloud-bounce count is shown for visual reference only, not used as a filter — low-ATR stocks often show very few bounces simply because they ride EMA9 continuously rather than dipping and recovering.
Companion: SQZ_SCAN
SQZ_SCAN shows when volatility compression releases into a confirmed move — WATCH (squeeze building), EARLY FIRE (just released), or BUY (released + volume confirmed). NOTE: As with most indicators, this is a lagging indicator on a daily timeframe, and accuracy reduces significantly on lower timeframes.
Workflow:
Screen with EMA Ride Scanner (Standard Mode) for clean pullback candidates.
Check SQZ_SCAN on each — prioritize WATCH/EARLY FIRE/BUY.
Separately, screen Grinder Mode for low-volatility names — don't require SQZ confirmation here, it structurally won't fire for this archetype.
Sanity-check on hourly before entry — only to rule out an active breakdown, not as a hard gate. Both indicators are daily-timeframe tools; hourly readings are noisy and shouldn't override a valid daily setup.
What this isn't
A screening tool, not a full trading system — no buy/sell signals, no risk management built in. Combine with your own entry timing, sizing, and stops. 指标
VWAP SAR Magnitude Filter [Gabremoku]VWAP SAR Magnitude Filter
Short description
A state-based long-only trend filter that combines VWAP context with Parabolic SAR structure. It uses VWAP as the main trend and invalidation line, while SAR confirms directional pressure and helps visualize momentum expansion or compression.
Descrizione completa
VWAP SAR Magnitude Filter is a long-only overlay designed to turn two familiar tools, VWAP and Parabolic SAR, into a cleaner operational framework rather than a simple indicator mashup.
The script uses VWAP as the primary market context and invalidation line. When price is above VWAP, the market is treated as having bullish intraday or swing context. When price falls back below VWAP, that context weakens and the script can trigger an exit.
Parabolic SAR is not used here as the primary exit engine. Instead, it acts as a structural confirmation tool. A valid long setup requires price to be above VWAP while SAR remains below the candle, which helps align directional bias and price structure. This reduces the number of signals that would appear if VWAP or SAR were used independently.
The script also includes an Auto mode engine. In Auto mode, lower intraday timeframes are handled with faster behavior, while higher timeframes are treated as swing conditions with additional filters. This makes the indicator adapt its sensitivity without requiring constant manual switching.
In Swing mode, the script becomes more selective by requiring:
persistence of the long condition for a minimum number of bars,
a minimum distance between price and SAR,
confirmed exit behavior below VWAP,
a longer cooldown after exits.
This approach is intended to reduce noise and avoid frequent re-entries during unstable or sideways phases. The indicator is therefore more focused on readable continuation structure than on generating many raw signals.
How it works
Long context: Price above VWAP.
Long confirmation: Parabolic SAR below the candle.
Long entry: The bullish context and structural confirmation align.
Exit logic: Main exit occurs on VWAP fallback; in Swing mode the fallback can require confirmation across multiple bars.
Mode engine: Auto selects Intraday or Swing behavior depending on the chart timeframe.
Visual features
VWAP line as the main reference level.
SAR line and glow for directional structure.
Magnitude fill between price and SAR to visualize pressure expansion and compression.
Optional bar coloring.
Dashboard with State, Mode, Regime, Flow, Distance %, SAR Side, and Exit Logic.
How to use it
This indicator works best when price is developing directional structure away from VWAP. In strong trends, it can help frame cleaner long continuation behavior. In choppy or sideways markets around VWAP, noise is naturally higher because the market lacks clear directional context.
A practical way to use it is:
monitor whether price is holding above VWAP,
wait until SAR is also positioned below price,
use the dashboard to confirm the current regime and state,
treat VWAP fallback as the main warning that the active long structure may be weakening.
Limitations
This indicator is not meant to eliminate all noise, especially in lateral environments where price oscillates around VWAP. In those conditions, repeated context shifts are part of market behavior, so no VWAP-based trend tool can remove all false transitions. The script is designed to reduce that noise, not to make it disappear completely.
It is also a context and structure tool, not a complete trading system. Users should still evaluate market conditions, liquidity, session behavior, and personal risk management before making decisions. 指标
Event HorizonEvent Horizon is a historical analog projection fan designed to answer one practical question:
What has price tended to do after market conditions similar to the current one?
Instead of using a fixed crossover, oscillator threshold, or trend flip, this indicator builds a market fingerprint from the current chart, searches historical bars for similar conditions, and projects how those past analogs moved forward. The result is a visual forward fan showing possible path behavior, consensus direction, dispersion, confidence, and the closest historical analog path.
The goal is not to predict the future with certainty. The goal is to give traders a structured way to compare the current setup against similar historical environments and quickly see whether the analogs are aligned, scattered, bullish, bearish, or not useful.
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What makes this script different
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Most projection tools draw a channel, regression, moving average extension, or volatility cone from a fixed formula.
Event Horizon uses a historical analog engine. Each bar is converted into a multi-factor feature profile, then compared against prior market states using weighted Euclidean similarity. The closest historical analogs are used to create a forward projection fan.
The script combines:
• Historical analog matching
• Weighted Euclidean distance
• Regime-aware scoring
• Volatility and trend-state filtering
• Consensus projection logic
• Closest historical path overlay
• Agreement and confidence scoring
• Directional historical event dots
• A visual fan that shows uncertainty instead of one hard prediction
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How it works
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1. Market fingerprint
The script measures the current market using multiple dimensions, including:
• Recent price movement
• Trend slope
• ATR expansion and compression
• Candle range and body behavior
• Wick imbalance
• Position relative to recent structure
• Breakout distance
• Volume ratio and volume trend
• ATR percentile
• ADX / trend strength
• Historical shape samples
This creates a multi-dimensional profile of the current setup.
2. Historical analog search
The current profile is compared to historical profiles on the same chart. Similarity is calculated with weighted Euclidean distance, so higher-value features such as trend, volatility regime, and price-shape behavior can matter more than smaller candle details.
Closer historical examples receive stronger match scores.
3. Regime awareness
The script also classifies the current environment into regimes such as trend, compression, volatility expansion, volume shock, or range/chop. Historical examples from incompatible regimes are penalized, helping reduce weak comparisons.
4. Forward projection
Once the best analogs are selected, the script looks at what actually happened after those historical setups. Those forward moves are normalized and projected from the current anchor point.
5. Consensus and confidence
The indicator summarizes the analog group with:
• Directional bias
• Agreement percentage
• Dispersion
• Confidence score
• Edge state: TRADEABLE, CAUTION, or NO EDGE
• Historical self-test statistics
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How to read the fan
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The colored fan shows the projected analog field.
The colored median shows the consensus path of the analog set.
The white line shows the closest visible historical analog path. It is not a guaranteed target. It is the path taken by the most similar past setup selected by the engine.
The wider the fan, the more disagreement there is between analogs.
The tighter the fan, the more historically aligned the analogs are.
The confidence and edge label are important. A bullish-looking fan with low confidence or high dispersion should be treated differently than a bullish fan with strong agreement and cleaner regime structure.
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Historical dots
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Historical event dots help visually review where prior projection events occurred.
• Bullish projection dots appear below price
• Bearish projection dots appear above price
• Mixed or neutral readings are visually separated
This makes it easier to inspect whether the indicator has been identifying useful directional conditions on the current symbol and timeframe.
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How to use it
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For newer traders:
1. Start on the Daily or 4H chart.
2. Look at the colored median.
3. Check whether the white analog path agrees with the median.
4. Check confidence and agreement.
5. Avoid forcing trades when the label says NO EDGE or when dispersion is high.
A stronger bullish read usually has:
• Median path rising
• White analog path also rising
• Agreement above roughly 65%
• Confidence above roughly 70
• Low or medium dispersion
• Edge state showing TRADEABLE or CAUTION, not NO EDGE
A weaker or avoidable read usually has:
• Median and white path disagreeing
• Agreement near 50%
• High dispersion
• Low confidence
• Range/chop regime
• NO EDGE label
For experienced traders:
Use the fan as an analog-based context layer. It is most useful when combined with your own structure, liquidity, trend, support/resistance, volume, or macro view. The script is designed to show whether historical analog behavior supports or conflicts with the trade idea you already see on the chart.
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Suggested settings
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Balanced stocks / ETFs:
• Mode: Current Bar Projection
• Visual Mode: Cinematic
• Fan Style: Hybrid Swarm + Contours
• Horizon: 30
• Memory Lookback: 1800
• Max Analogs: 30
• Minimum Analogs: 6
• Pre-Event Window: 20
• Shape Samples: 6
• Path Scale: 1.0
Crypto:
• Horizon: 24
• Memory Lookback: 2000 to 2500
• Path Scale: 0.75 to 0.90
• Flexible direction matching
Intraday:
• Horizon: 20 to 24
• Minimum Analogs: 8
• Path Scale: 0.75 to 1.0
• Use liquid symbols only
Trend continuation:
• Direction Matching: Strict
• Mirror Opposite Direction: Off
• Path Scale: 1.0
Reversal / exhaustion:
• Direction Matching: Flexible
• Mirror Opposite Direction: On
• Path Scale: 0.75
• Shorter horizon preferred
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Best use cases
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Event Horizon is best suited for:
• Liquid stocks
• Major ETFs
• Index products
• Major crypto pairs
• Trend continuation setups
• Post-compression expansion
• Structure breaks
• Swing-trade context
• Daily and 4H analysis
It is less suitable for:
• Illiquid symbols
• Very new tickers with limited history
• Low-volume penny stocks
• Earnings gaps
• Binary news events
• Extremely short scalping timeframes
• Markets with sudden one-off catalysts
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Important notes
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This is an analog projection tool, not a standalone buy/sell system.
Historical similarity does not guarantee future behavior. Market structure, liquidity, volatility, news, and macro conditions can change quickly. The fan should be used as a decision-support layer, not as a guaranteed forecast.
The strongest readings occur when the median, white analog path, agreement, confidence, and regime state all point in the same direction.
The weakest readings occur when analogs are scattered, confidence is low, dispersion is high, or the script identifies a no-edge environment.
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Summary
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Event Horizon turns historical market behavior into a forward analog projection fan.
It helps traders see:
• What similar past setups did next
• Whether those analogs agree or disagree
• Whether the current regime supports the projection
• Whether the projected path is tight or scattered
• Whether the setup has enough confidence to matter
Use it to add historical context, probability awareness, and regime-based discipline to your chart analysis.
指标
指标
Structure Break Chain (SBC) [SharpStrat]Structure Break Chain (SBC)
Every trader has been there. You're in a trade, the trend looks healthy, and then suddenly price flips on you. You had no warning. You held too long. The trend was already breaking down you just couldn't see it clearly enough.
That's exactly what Structure Break Chain was built to solve.
SBC is a market structure tracking tool that reads how price is actually moving swing by swing, break by break and builds a real-time picture of trend health. Not with a smoothed line or a lagging oscillator, but by watching the raw structure of the market, the sequence of higher highs and lower lows that every trend is made of.
What is a Break of Structure (BOS)?
In any uptrend, price makes a series of higher highs. Every time price closes above a previous swing high, that's a Break of Structure confirmation that the bull trend is still alive and continuing. In a downtrend, it's the opposite: price keeps breaking below previous swing lows.
SBC detects every single one of these breaks automatically and marks them on your chart with a labeled arrow green for bullish, red for bearish. No manual drawing. No guessing.
What is a CHoCH (Change of Character)?
A CHoCH fires when price breaks structure in the opposite direction to the current trend for the first time. In a bull trend, that means price has just broken below a prior swing low. That single event doesn't confirm a full reversal but it's the earliest possible warning that something has changed in the market's behavior.
Most indicators won't catch this until several bars later. SBC marks it the moment it happens, in yellow so it stands out from the regular BOS signals as shown in the image below.
The Chain Counter
Here's what makes SBC different from a standard structure indicator.
Every time a BOS happens in the same direction without interruption, the chain count goes up by 1. When a CHoCH happens, the chain resets to 1 and starts counting in the new direction.
A chain of 4 means price has broken structure 4 times in a row in the same direction. That's a mature, committed trend. A chain of 1 after a CHoCH means the new trend is unproven and fragile you should be cautious about entries.
A live label on the right edge of your chart shows the current chain count in real time as shown in image above. It updates every bar.
Break Quality Score
When price barely scrapes past a swing level by a few ticks on low momentum, that's a very different signal from a strong, high-volume candle closing well beyond the level.
SBC scores every break as STRONG, NORMAL, or WEAK based on two factors:
How far price closed beyond the broken level (relative to ATR)
How large and decisive the breaking candle's body was
STRONG breaks have brighter, more vivid label colors. WEAK breaks are dimmed and semi-transparent as shown in image below. This lets you visually filter the breaks that matter from the noise.
Failed BOS
Sometimes price breaks a level, you get excited, and then it immediately reverses back inside. That's a trap and it's one of the most common ways retail traders get hurt.
SBC watches every confirmed break for the next 1-3 bars (adjustable). If price closes back inside the broken level within that window, the indicator marks it as a FAILED break in purple as shown in image above. This is your earliest possible warning that the breakout wasn't real, often appearing few bars before the CHoCH confirms the reversal.
Using Failed BOS + CHoCH together gives you two layers of confirmation before you act on a potential trend change.
Pullback Entry Zones
After every confirmed BOS, SBC draws a semi-transparent box between the broken level and the previous swing reference as shown in image below. This is the area where price is most likely to pull back before continuing in the trend direction, the optimal entry zone.
The box extends forward by a user defined number of bars and disappears automatically when a new BOS or CHoCH occurs.
Multi-Timeframe Overlay
You can optionally enable a higher timeframe (HTF) structure overlay. When turned on, SBC also tracks BOS and CHoCH events from your chosen higher timeframe and plots them directly on your current chart as dimmed labels as shown in image above, so you always know what the bigger picture is doing.
Note: HTF labels are designed to appear only once per HTF bar, not on every sub-bar. So on a 15-minute chart with a 1-hour HTF, you'll see the HTF label appear once on the first 15-minute candle of that hour not repeated across all four candles.
The dashboard also shows whether your current timeframe trend and the HTF trend are aligned or in conflict. Trading a bull BOS on the 15-minute chart while the 1-hour is bearish is a generally riskier than when both are pointing in same direction.
The Dashboard Panel
A compact information table sits in the corner of your chart (position is adjustable). It shows everything at a glance without you having to read the price action:
Current trend direction (Bullish / Bearish / Neutral)
Live chain count
Quality of the last break (STRONG / NORMAL / WEAK)
HTF direction and alignment status
HTF chain count
Maximum chain ever recorded on this chart
Average chain length across all completed trends
Total BOS count
Total CHoCH count
The chain count in the table turns yellow when it reaches your milestone number (customizable in settings) a visual nudge that the trend is mature.
How to use SBC
Wait for a CHoCH, this is your signal that the previous trend is over and a new one may be starting. Don't trade it immediately.
Watch the first BOS in the new direction if it's STRONG quality, that's confirmation the new trend has real momentum behind it.
Look for a pullback into the entry zone, the green or red dashed box SBC draws is your optimal entry area.
Check the chain count, if you're entering at chain count 1 you're probably early. If you're entering at 6 or 7 the trend is probably mature and a reversal is likely so adjust your expectations accordingly.
Check HTF alignment, if both your timeframe and the higher timeframe are showing the same direction, the trade has more conviction behind it.
Watch for Failed BOS and CHoCH these are your exit warnings. A Failed BOS followed by a CHoCH is a reliable signal to close or tighten your stop.
Settings guide
Structure settings
Pivot Length - how many bars left and right are needed to confirm a swing high or low. Higher values = fewer but cleaner pivots.
BOS Confirmation - "Close" waits for a candle to close beyond the level (safer, recommended). "High/Low" triggers on the wick (faster but noisier).
Failed BOS Window - how many bars after a break to watch for failure.
Show Swing Lines - draws dashed horizontal lines at each detected pivot.
Show Pullback Entry Zones - draws the dashed box after each BOS.
Zone Extend Right - how far the zone box extends to the right in bars.
Shade Trend Background - adds a background color based on current trend direction.
Visual settings
Full color customization for Bull, Bear, CHoCH, Failed BOS, and Swing Lines.
Toggle quality labels, chain bubble, and dashboard panel on/off.
Choose dashboard position (Top Right / Top Left / Bottom Right / Bottom Left).
Adjust label size.
Multi-timeframe settings
Enable or disable HTF overlay.
Choose any HTF timeframe.
Adjust HTF label transparency.
Why this is better than basic Structure break indicators
Most structure indicators on TradingView detect BOS and CHoCH but stop there. SBC adds three things:
A chain counter that tracks consecutive structural breaks turning raw signals into a measure of trend maturity and health over time.
A break quality scoring system that grades every break on two factors so you aren't chasing noise.
A Failed BOS detector that watches the confirmed break for the next few bars and warns you before the CHoCH even happens giving you a head start that most traders don't have.
Note - Works on all markets and timeframes. Stocks, forex, crypto, indices, futures etc, if it has candles SBC probably works on it. The pivot length and ATR based quality scoring adapt automatically to the volatility of whatever asset you apply it to. 指标
Nexus Divergence Sniper🎯 Introducing: Nexus Divergence Sniper – The Ultimate Reversal Algorithm
Are you tired of catching falling knives, getting faked out by premature signals, or watching your indicator’s signals magically vanish after price hits your stop loss? Reversal trading offers massive R:R (Risk-to-Reward) potential, but without a bulletproof filtering system, it can quickly drain your account.
Enter the Nexus Divergence Sniper (NDS).
NDS is not just another basic divergence plotter. It is an all-in-one algorithmic trading framework that seamlessly fuses Momentum (MACD), Volatility (ATR), Price Dynamics (Advanced Candlestick Action), and Volatility Bands (Bollinger Bands) into a high-probability sniper system.
🚀 How Does NDS Work?
To protect your capital from market noise, NDS enforces a strict, multi-layer confirmation matrix before printing a single BUY or SELL signal:
1. Structural Divergence: Identifies underlying trend exhaustion through double peak/trough structures synced with the MACD Histogram.
2. Pullback & Engulfing Confirmation: NDS never blindly trades the exact top or bottom. The algorithm patiently waits for a mandatory price "breath" (pullback) and triggers only when a decisive Engulfing candle confirms momentum has shifted.
3. Multi-Dimensional Noise Filtering: Powered by ATR to automatically filter out abnormal market spikes or tiny, meaningless candles. It also checks the preceding 4 candles to ensure you aren't trading directly into a runaway freight train.
⚡ Key Features:
1. 100% Non-Repainting: Signals utilize the barstate.isconfirmed protection layer. Once a signal prints on a closed candle, it stays there forever. No visual tricks, no moving goals.
2. Visual Smart SL/TP: Instantly plots dynamic, ATR-based Stop Loss, Take Profit 1 (Partial), and Take Profit 2 (Runner) levels directly on your chart.
3. Real-Time Performance Dashboard: Track your edge on the fly. The built-in stats panel automatically monitors your Win Rate, Total Trades, TP completions, and SL hits based on your chosen live chart data.
4. Customizable Bollinger Bands Filter: Fine-tune your entries. Choose to take all signals or restrict the algorithm to execute trades exclusively in premium overextended zones (Upper/Lower Bollinger halves).
Nexus Divergence Sniper doesn't promise a "Holy Grail," but it does promise absolute, algorithmic discipline for your charts. Add NDS to your arsenal today and start sniping the markets with mathematical precision! 指标
Liquidity Sweep Retracements [MarkitTick]💡An advanced analytical framework designed to decode market micro-structure by evaluating the depth, speed, and statistical probability of price pullbacks. Rather than relying solely on static Fibonacci levels, this tool dynamically tracks the historical characteristics of an asset's swing behavior, alerting the user to structural anomalies and shifts in momentum. By intersecting retracement analysis with liquidity sweep detection and a built-in heatmap, this framework offers a comprehensive lens into market behavior, isolating environments where trend continuation is highly probable versus areas prone to exhaustion.
✨ Originality and Utility
Standard market analysis often relies on rigid tools that do not adapt to changing volatility conditions. This script introduces a highly original dynamic evaluation method by actively saving the characteristics of recent price swings into an internal array and establishing a moving statistical baseline.
The primary utility of this script lies in its multidimensional analysis. It does not just measure how far price has pulled back; it calculates how fast the pullback occurred and compares this velocity to the asset's recent historical baseline. This enables the framework to categorize price action not merely as a "pullback," but as a statistically significant "Anomaly" or an "Aggressive" move. Furthermore, by weaving Higher Timeframe (HTF) trend alignments and localized liquidity sweep detections into a single, cohesive dashboard and visual charting environment, it reduces chart clutter while exponentially increasing the depth of available data.
🔬 Methodology and Concepts
● Swing Structuring and Pivot Detection
The foundational logic relies on identifying structural pivot highs and lows through a localized lookback and look-forward window. The algorithm requires a definitive peak or trough isolated by user-defined left and right bars, establishing the anchor points for all subsequent mathematical measurements.
● Dynamic Retracement Scoring
Once a swing structure is confirmed, the script calculates the exact percentage of the retracement relative to the preceding impulse. These percentages are continuously categorized into defined behavioral zones:
Impulse (Less than 23%)
Shallow (Less than 38%)
Healthy (Up to 61.8%)
Deep (Up to 78.6%)
Reversal (Beyond 78.6%)
● Retracement Momentum Velocity (RMV)
Time and price are merged to extract velocity. By dividing the total percentage of the retracement by the number of bars it took to form, the script generates a velocity reading. This reading is dynamically compared against an array of historical velocities to determine if the current counter-trend move is unusually aggressive.
● Statistical Anomaly Detection
The script manages historical arrays of past retracement data, calculating a rolling mean (average) and standard deviation. An anomaly is triggered when a live retracement deviates significantly from this moving baseline, determined by a user-defined standard deviation multiplier. This mathematically highlights structural shifts before they mature into full trend reversals.
● Liquidity Sweep Verification
The indicator actively monitors price interactions with localized structural extremes. A bullish sweep occurs when price pierces a recent significant low but closes decisively above it, creating a structural trap. Bearish sweeps apply the inverse logic to structural highs.
🎨 Visual Guide
● Heatmap Candles
The script overrides standard candle colors with a dynamic heatmap that visually translates the health and speed of the current retracement:
Green indicates a healthy, standard retracement zone.
Orange highlights a weak zone, suggesting the trend is losing foundational strength.
Red warns of a deep structural violation bordering on a reversal.
Purple explicitly signifies an aggressive Retracement Momentum Velocity (RMV), warning of high counter-trend momentum.
● Price Action Overlays and Labels
Pivot Highs and Lows are marked precisely with small red and green crosses. (Note: These appear retroactively once the defined right-side bars confirm the pivot).
Data Labels are plotted at swing extremes. These carry a dark blue-gray background with dynamic text colors. They display the exact retracement percentage alongside quality badges, anomaly alerts (orange for opportunity, red for danger), and RMV warnings.
● Liquidity Markers
When a sweep is detected, small distinct shapes appear. "LS" text markers are plotted in bright green below bullish sweeps and bright red above bearish sweeps, visually anchoring liquidity traps directly onto the price action.
● The Analytical Dashboard
Located in the top right corner, this panel serves as the central intelligence hub. It utilizes shaded backgrounds to organize critical data natively on the chart.
Retracement and Health bars utilize block characters (█/░) to visualize strength out of 100%.
HTF Alignment displays the macro bias via clear text and color codes (Green for Bullish, Red for Bearish).
The dashboard aggregates averages, velocities, and quality metrics into a readable, high-contrast matrix.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
Traders should monitor the dynamic relationship between the visual candle heatmap and the dashboard metrics.
Trend Continuation: Look for retracements that remain within the "Healthy" or "Shallow" zones (highlighted by green candles and positive dashboard health scores) that align with a bullish HTF signal.
Anomaly Exploitation: If an anomaly label appears marking a shallow retracement (orange text warning), this historically suggests an unusually strong impulse where standard deep pullbacks may not materialize.
Exhaustion Warnings: If the candles shift to purple, indicating an RMV Aggressive state, the counter-trend velocity is statistically high. Traders may use this to delay entries until momentum normalizes, or to identify structural traps if this aggression ends in a marked Liquidity Sweep (LS marker).
⚙️ Inputs and Settings
• Swing Settings
Controls the sensitivity of pivot detection. Higher values filter out market noise for major swing structures, while lower values react quickly to micro-trends.
• Retracement and Anomaly Parameters
Dictates the maximum number of historical retracements held in the memory array. The Standard Deviation Threshold allows users to expand or contract the mathematical boundary for what qualifies as an anomaly.
• RMV (Velocity) Limits
Controls the aggression threshold. Adjusting the multiplier determines how much faster a retracement must be compared to the historical average to trigger the purple heatmap and aggressive warnings.
• Liquidity Sweeps
Defines the lookback length for identifying local highs and lows that act as liquidity pools.
• Alerts and Dashboard Configuration
Enables fully customizable JSON-formatted alerts based on statistical deviations, and allows users to toggle or completely restyle the visual dashboard and heatmap components.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is heavily anchored in statistical mechanics and kinematics principles applied to financial time-series data.
• Gaussian Distribution and Variance
Instead of utilizing fixed geometric sequences (such as the Golden Ratio), the framework treats market swings as a dataset exhibiting normal distribution characteristics. By calculating the variance and extracting the standard deviation of historical swing depths, the script establishes mathematically sound confidence intervals. When price action breaches these standard deviation bands, it represents a statistically significant outlier, formally alerting the user to a fat-tail market event.
• Financial Kinematics
The integration of Retracement Momentum Velocity (RMV) introduces physics-based kinematic principles to price action. In traditional mechanics, velocity is the rate of change of position with respect to a frame of reference. The algorithm defines the frame of reference as the structural swing, calculating velocity as the percentage of displacement per unit of time (bars). By tracking the rolling average of this velocity, the script can algorithmically determine when kinetic energy in a counter-trend direction is statistically abnormal, independent of the actual price level reached.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. 指标
Trend Structure Scale-In👋 What's up traders,
Decided to finally share this one after a lot of testing, tweaking, and more chart staring than I'd like to admit.
Trend Mitigation Scale-In Pro is built around a simple idea: trade with the trend, wait for quality pullbacks, and let probabilities do the heavy lifting.
The strategy combines:
• EMA200 trend filtering
• Pivot structure detection
• Engulfing candle confirmation
• Mitigation-based entries
• Controlled scale-ins on pullbacks
• Fixed basket take-profit management
The goal isn't to catch every move. It's to stay aligned with the bigger trend and focus on higher-quality setups while keeping execution simple.
Like every strategy, it's not perfect and should always be tested thoroughly before being used on a live account.
I'm constantly building, testing, and improving new ideas, so feedback is always appreciated.
If you find it useful, a ⭐ Favorite, 👍 Like, or 🚀 Boost helps more than you think and motivates me to keep sharing.
Wishing everyone green charts and disciplined trading. 🏆
Good luck out there.
— Tomukasss
策略
OMSF Learning SpaceWelcome to the Omsf Learning Space.
This is not a commercial "holy grail" indicator, nor is it a rigid, corporate course. This is my personal sandbox and educational archive where I dissect market structure, breakout mechanics, and reversal setups.
THE CORE PHILOSOPHY:
Everything in this space is built upon my Omsf (Objective Market Structure Framework). Whether you are a beginner trying to understand how charts breathe, or an advanced trader looking for mechanical rules – this space is designed to give you a clear, visual reality check.
WHAT TO EXPECT:
This script is dynamic and will change organically over time. As I publish new trading ideas, research notes, or structural concepts, this indicator will adapt. Old parts might get swapped out, new experiments will be added, or it might evolve into a v2.0 down the road. There is no fixed schedule. It updates when it updates.
CURRENT VERSION (Launch):
Right now, we are looking at the foundational mechanics: Classic, rigid Pivots alongside the dynamic volatility adjustment of the Omsf.
- Toggle "Exercise 1" to stress-test both engines in the configuration sandbox.
- Toggle "Outlook" to see how classic Pivots perform when taken literally as a trend filter.
Enjoy the sandbox, play with the parameters, and use the Bar Replay. See you in the ideas section!
— arni 指标
EMA Ribbon with ATR ExtensionsThis indicator is an EMA ribbon framework combined with multi-timeframe trend structure and volatility-normalized distance measurements using ATR.
The core component is a configurable exponential moving average ribbon, allowing multiple EMA lengths to be plotted simultaneously across different timeframes. This includes both intraday EMAs and optional higher-timeframe EMAs such as daily and weekly periods. The purpose of this structure is to provide a layered view of trend behavior across multiple time horizons, helping visualize alignment, compression, and expansion within broader market structure.
In addition to standard EMA visualization, the indicator integrates a volatility context layer using the Average True Range (ATR). This allows price distance from each EMA to be expressed not only in percentage terms, but also in ATR-normalized form. The ATR extension metric is derived from the relationship between percentage deviation from the moving average and current ATR percentage, enabling comparison of movement intensity across different instruments regardless of price scale.
The included table presents a structured breakdown for each selected EMA:
EMA value based on configurable length and timeframe
Percentage distance between price and each EMA
ATR-normalized extension value representing volatility-adjusted deviation
This structure allows users to observe how price interacts with multiple trend references simultaneously, while also understanding whether movement is occurring within normal volatility conditions or represents an expanded deviation relative to recent market behavior.
A visual marker is included to highlight conditions where price is significantly extended above a selected higher timeframe EMA relative to ATR-based expansion. This is intended to assist with quickly identifying periods of elevated trend extension within the broader EMA framework.
The header display optionally shows symbol, description, and active chart timeframe to maintain contextual awareness when analyzing multiple assets or timeframes.
Overall, the tool is designed as a multi-layer trend and volatility visualization system combining moving averages, relative distance metrics, and ATR-based normalization to better contextualize price positioning within ongoing market structure. 指标
Entry Gate - ADR% / ADV / ATR MultipleThree critical pre-trade filters, always visible right on your chart.
Before entering any swing trade, three questions determine whether the setup is even worth considering: is this stock volatile enough to move my account, is it liquid enough to trade cleanly, and is it too extended to enter now? Entry Gate answers all three at a glance, in a single corner of your chart.
ADR% (Average Daily Range) measures how much a stock moves on an average day. Too low and it won't move your portfolio. Too high and daily noise will stop you out randomly.
ADV (Average Dollar Volume) measures how much money flows through the stock each day. Liquid stocks respect key levels, pull back cleanly to moving averages, and don't gap on low volume. Illiquid stocks do the opposite.
ATR Multiple measures how extended the price is above its 50-day moving average, expressed in ATR units. The further extended, the higher the probability of a pause or reversal. Based on jfsrev's published formula: % Gain from MA divided by ATR%.
ATR% rounds out the dashboard with the raw volatility number for context.
All values are color-coded against your thresholds:
🟢 Green — within your ideal range
🟠 Orange — borderline, proceed with caution
🔴 Red — outside your criteria
A yellow dot also plots above the bar when the ATR Multiple exceeds your trigger level, marking historically extended zones at a glance.
Fully customizable:
Independent thresholds for ADR%, ADV, and ATR Multiple
Warning zones for borderline values
Lookback periods for each calculation
Font size, table position, dot size and offset
Color customization for good / warning / bad / ATR / dot
All values are pulled from the daily timeframe via request.security, so the numbers stay consistent whether you're on a daily, weekly, or intraday chart.
Default thresholds are calibrated for swing traders running mid-sized accounts. Adjust to match your strategy.
Credits to ArmerSchlucker for the original ADR% table indicator, MikeC / TheScrutiniser and GlinckEastwoot for the ADR% formula, and jfsrev / Fred6724 for the ATR% Multiple from 50-MA approach. 指标
