Bob Volman + EMA + TP/SL Smart (EZSignals V1)A smart scalping system inspired by Bob Volman’s price action methodology.
Combines EMA trend filtering with automatic TP/SL management and precise entry logic.
Designed for intraday traders who seek clean, efficient scalps with minimal noise.
🔹 Features:
EMA-based trend confirmation
Smart TP/SL auto calculation
Dynamic signal filtering (avoid false breakouts)
Visual entry & exit markers for better clarity
📈 Perfect for scalpers who want Volman-style precision with modern risk control.
Полосы и каналы
Hotzones EssentialsThe Hotzones essentials kit combines key price action principles into a single kit. These features come together to form a unique approach to price action trading.
The Killzone Blocks are a precision-engineered market-mapping system designed to identify high-liquidity price regions zones where institutional participants and smart money are most likely to interact. These areas often act as reaction points , where liquidity absorption, reversals, or continuation moves are started. By highlighting these zones, traders can potentially anticipate market intent and position themselves accordingly with greater confidence.
Shown above is are Killzone Blocks highlighting their strength and deltas.
Killzone Blocks are dynamically generated from significant structural shifts in the market where key areas where order flow and volume imbalance indicate a change in control between buyers and sellers. Each block represents a localized liquidity pocket, allowing users to visualize potential killzones which are regions where price is statistically more likely to bounce, reject, or consolidate before choosing direction.
The algorithm continuously tracks structural breaks , pivot reactions , and volume clustering to ensure that every block represents a meaningful, data-driven region rather than random candle overlap.
Volume and Delta Analysis
Each Killzone Block carries an advanced volume breakdown that quantifies order-flow dynamics within the zone.
Volume Data: Displays both bullish and bearish volume as a percentage of the total block volume, quantifying buying vs. selling intensity and helping traders gauge whether the zone was dominated by aggressive buyers or sellers.
Gray Text (Order Block Volume Type): Shows metrics specific to the block’s nature.
Bearish Blocks: Display only the bear volume (sell pressure) as a percentage of total OB volume.
Bullish Blocks: Display only the bull volume (buy pressure) as a percentage of total OB volume.
This separation removes noise and helps traders focus on which participant truly dominated the zone.
Each block also features a Delta Indicator which is a color-coded circle offering instant insight into which side of the market was in control:
🔴 Red: Strong negative delta (-100% to -20%) = Sellers dominated.
🟡 Yellow: Neutral delta (-10% to +10%) = Market in balance or absorption.
🔵 Blue: Strong positive delta (+20% to +100%) = Buyers dominated.
The delta represents the difference between buyer and seller volume within that block. A positive delta indicates aggressive buying absorption , while a negative delta suggests sell-side control .
Shown above we see a very small delta with neutral volume. This is a very balanced market zone where we might be less likely to see a reaction.
Customization and Inputs
Users can tailor the Killzone Blocks to suit their analysis style:
* Adjust the displayed block count to view short-term or long-term structures.
* Choose whether zones are drawn from wicks or bodies . Wick-based zones are more reactive to intraday liquidity hunts, while body-based zones reflect institutional candle closings and conviction.
Killzone Levels
Killzone Levels expand on the concept of liquidity mapping by plotting the most influential horizontal levels in the market daily, weekly, and monthly highs and lows . These levels represent major liquidity pools where large clusters of stop orders, breakout triggers, and institutional re-entries often occur.
Users can customize every visual aspect of these levels, including color, style, and line thickness if needed.
These levels are crucial because markets tend to gravitate toward previous highs and lows to collect liquidity before reversing or extending the trend. Daily levels act as intraday targets, weekly levels provide swing and mid-term context, and monthly levels define macro liquidity boundaries where institutional flows are concentrated.
When a Killzone Block aligns with a Killzone Level ; for example, a bullish block forming near a weekly low, it creates strong confluence and raises the probability of a meaningful reaction. Together, these levels transform simple horizontal lines into dynamic zones of opportunity.
Open Range Breakout
The Open Range Breakout feature identifies the first major liquidity window of each trading session, often referred to as the opening range or killzone window . This range is defined by the high and low formed within a user-defined session time (for example, 08:00–08:45 for the London session).
Shown above is a breakout of a range.
Once the window closes, the system locks in the session’s high and low, marking the balance point of early order flow. From this moment, price action is monitored in real time:
- A break above the high generates a bullish breakout signal , confirming buyer control.
- A break below the low generates a bearish breakout signal , confirming seller dominance.
To enhance accuracy, the feature includes a Level 2 Confirmation setting. Rather than triggering on a wick or brief spike, this level confirms a breakout only when a full candle closes outside the open range . This ensures signals reflect genuine intent and continuation pressure instead of short-term liquidity sweeps.
Seen above is confluence between a retest of a zone and a breakout.
Traders use the Open Range Breakout to establish session bias ; whether the market is trending bullish or bearish for that specific session. Combined with Killzone Blocks and Levels, it forms a complete confluence system for identifying direction, gauging strength, and mapping high-probability reaction zones.
Overall this toolkit provides 3 unique tools that come together to form powerful confluence and deeper insights into volume and price action.
Support and Resistance LevelsSupport and Resistance Levels Indicator
Introducing an indicator that helps automatically identify key support and resistance levels. It analyzes historical data to detect price pivot points and draws horizontal lines based on them. This simplifies chart analysis and allows you to focus on important zones.
How the Indicator Works
The indicator searches for groups of pivot points (minimum three by default) that lie at the same price level within a specified tolerance (in ATR). If the price has bounced off this level three or more times—up or down—the indicator draws a line. The line displays all the points that formed it (small markers "•").
The line color depends on the type of the last point: green for support (lower pivots) and red for resistance (upper pivots). But remember, this is conditional—any level can act as support or resistance depending on the context. The key is that these are zones of interest where price often reacts.
Features
The indicator excels at finding strong levels, but on lower timeframes or during prolonged consolidation (sideways movement) due to market noise, it may draw many lines. To avoid accidentally removing useful levels, I didn't add automatic filtering. In such cases, just evaluate the levels manually—look at the context and the strength of the touches.
Main Feature: Alerts for Premium Subscription
If you have TradingView Premium, the indicator turns into a powerful scanner. Set up an alert for a list of hundreds of instruments: when the price on any of them approaches a level closely (by default within 0.15 ATR), you'll get a push notification. Add filters for trading volume (over 5 minutes or 24 hours) and volatility—and false signals are minimized.
For example, you have a list of 100 instruments. Set up the alert—and you'll immediately receive notifications for all where the price is already close to a level: "BTCUSD on 1h: price near resistance level 60,000", "ETHUSD on 4h: price near support 3,000", and so on. And if later the price on any other instrument from the list approaches a level—you'll get a new message with details. All that's left is to open the relevant chart, assess the situation, and decide: enter the trade or skip it. This saves hours of monitoring!
Индикатор уровней поддержки и сопротивления
Представляю индикатор, который помогает автоматически находить ключевые уровни поддержки и сопротивления. Он анализирует исторические данные, выявляя точки разворота цены, и строит на их основе горизонтальные линии. Это упрощает анализ графика и позволяет фокусироваться на важных зонах.
Как работает индикатор
Индикатор ищет группы точек разворота (по умолчанию минимум три), которые лежат на одной ценовой отметке в пределах заданной погрешности (в ATR). Если цена трижды (или больше) отскакивала от этого уровня — вверх или вниз, — индикатор рисует линию. На линии отображаются все точки, которые её сформировали (маленькие метки "•").
Цвет линии зависит от типа последней точки: зелёный для поддержки (нижние развороты) и красный для сопротивления (верхние). Но помните, это условно — любой уровень может работать как поддержка или сопротивление в зависимости от контекста. Суть в том, что это зоны интереса, где цена часто реагирует.
Особенности
Индикатор хорошо справляется с поиском сильных уровней, но на низких таймфреймах или в длительной консолидации (боковике) из-за рыночного шума может появиться много линий. Чтобы не рисковать удалением полезных уровней, я не добавил автоматическую фильтрацию. В таких случаях просто оценивайте уровни вручную — смотрите на контекст и силу касаний.
Главная фишка: Алерты для Premium-подписки
Если у вас TradingView Premium, индикатор превращается в мощный сканер. Создайте алерт на список из сотен инструментов: когда цена на любом из них подойдёт близко к уровню (по умолчанию в пределах 0.15 ATR), вы получите push-уведомление. Добавьте фильтры по объёму торгов (за 5 минут или 24 часа) и волатильности — и ложные сигналы минимизированы.
Например, у вас список из 100 инструментов. Настройте алерт — и сразу придут уведомления по всем, где цена уже близко к уровню: "BTCUSD на 1ч: цена у уровня сопротивления 60 000", "ETHUSD на 4ч: цена у поддержки 3000" и так далее. А если позже на любом другом инструменте из списка цена приблизится к уровню — придет новое сообщение с деталями. Остаётся только открыть нужный график, оценить ситуацию и решить: входить в сделку или пропустить. Это экономит часы мониторинга!
Institutional Activity DetectorInstitutional Activity Detector - Complete Tutorial
Table of Contents
Installation
Understanding the Indicator
Signal Interpretation
Settings Configuration
Trading Strategies
Best Practices
Common Mistakes to Avoid
1. Installation {#installation}
Step-by-Step Setup:
Step 1: Access TradingView
Go to TradingView.com
Log in to your account (free account works fine)
Step 2: Open Pine Editor
Click on "Pine Editor" at the bottom of the chart
If you don't see it, go to the top menu and select "Pine Editor"
Step 3: Add the Script
Click "New" to create a new indicator
Delete any default code
Copy the entire Institutional Activity Detector code
Paste it into the editor
Step 4: Save and Apply
Click "Save" (give it a name like "Inst Detector")
Click "Add to Chart"
The indicator will now appear on your chart
2. Understanding the Indicator {#understanding}
What It Detects:
This indicator identifies institutional traders (banks, hedge funds, market makers) by analyzing:
Volume Analysis
Detects unusual volume spikes that indicate large players entering
Compares current volume to 20-period average
Institutional trades create volume 2-5x normal levels
Order Flow
Delta: Difference between buying and selling volume
Positive delta = More buying pressure
Negative delta = More selling pressure
Institutions leave "footprints" in order flow
Price Action Patterns
Bullish Rejection Wicks:
| <- Small upper wick
|
███ <- Small body
███
|
|
| <- Large lower wick (rejection)
Indicates institutions bought aggressively at lower prices
Bearish Rejection Wicks:
|
|
| <- Large upper wick (rejection)
|
███ <- Small body
███
| <- Small lower wick
Indicates institutions sold aggressively at higher prices
Liquidity Grabs
Institutions often:
Push price above resistance or below support
Trigger stop losses (grab liquidity)
Reverse direction and trade the other way
Dark Pool Activity
Large block trades executed off-exchange:
High volume with minimal price movement
Indicates institutional accumulation/distribution without moving price
3. Signal Interpretation {#signals}
Signal Types:
🟢 INSTITUTIONAL BUY Signal
Appears as green triangle below candle with strength number (2-5)
What it means:
Institutions are actively accumulating (buying)
Higher strength = More confirmation factors
Strength Levels:
2-3: Moderate confidence - Wait for confirmation
4: High confidence - Strong institutional interest
5: Maximum confidence - Multiple factors aligned
🔴 INSTITUTIONAL SELL Signal
Appears as red triangle above candle with strength number (2-5)
What it means:
Institutions are actively distributing (selling)
Higher strength = More confirmation factors
🟠 Dark Pool (DP) Marker
Small orange diamond
What it means:
Large block trade executed
Accumulation/distribution happening quietly
Often precedes significant moves
Liquidity Zones
Red boxes above price = Resistance/sell liquidity
Green boxes below price = Support/buy liquidity
Institutions target these zones to trigger stops
4. Settings Configuration {#settings}
Recommended Settings by Asset Type:
For Stocks (SPY, AAPL, TSLA):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 1H
For Forex (EUR/USD, GBP/USD):
Volume Spike Multiplier: 1.5
Volume Average Period: 30
Delta Threshold: 65%
Minimum Signal Strength: 3
Timeframe: 15m, 1H, 4H
For Crypto (BTC, ETH):
Volume Spike Multiplier: 2.5
Volume Average Period: 20
Delta Threshold: 70%
Minimum Signal Strength: 4
Timeframe: 15m, 1H, 4H
For Futures (ES, NQ):
Volume Spike Multiplier: 2.0
Volume Average Period: 20
Delta Threshold: 75%
Minimum Signal Strength: 3
Timeframe: 5m, 15m, 30m
Parameter Explanations:
Volume Spike Multiplier (1.0 - 10.0)
Lower = More sensitive (more signals, some false)
Higher = Less sensitive (fewer signals, more reliable)
Start with 2.0 and adjust based on your asset's volatility
Delta Threshold % (50 - 100)
Measures buying vs selling pressure
70% = Strong institutional bias required
Lower for ranging markets, higher for trending
Minimum Signal Strength (2 - 5)
Number of factors that must align for a signal
2 = Very sensitive (many signals)
5 = Very conservative (rare signals)
Recommended: 3-4 for balance
5. Trading Strategies {#strategies}
Strategy 1: Liquidity Grab Reversal
Setup:
Price approaches a liquidity zone (green/red box)
Price penetrates the zone briefly
Institutional BUY/SELL signal appears
Price reverses away from the zone
Entry:
Enter on the signal candle close
Or wait for next candle confirmation
Stop Loss:
Below the liquidity grab low (for buys)
Above the liquidity grab high (for sells)
Take Profit:
2:1 or 3:1 risk/reward ratio
Or next opposing liquidity zone
Example:
Price drops below support → Triggers stops →
Institutional BUY signal (4-5 strength) →
Enter LONG → Price rallies
Strategy 2: Trend Continuation
Setup:
Identify the trend (higher highs/higher lows for uptrend)
Wait for pullback to support in uptrend
Institutional BUY signal appears during pullback
Confirms institutions are adding to positions
Entry:
Enter on signal with strength ≥ 4
Or next candle after signal
Stop Loss:
Below the pullback low + small buffer
Take Profit:
Previous swing high
Or trailing stop using ATR
Strategy 3: Dark Pool Accumulation
Setup:
Dark Pool (DP) markers appear multiple times
Price consolidates in tight range
Institutional BUY signal with high strength appears
Breakout occurs
Entry:
Enter on breakout candle after signal
Or on retest of breakout level
Stop Loss:
Below consolidation range
Take Profit:
Measured move (height of consolidation projected)
Strategy 4: Divergence Play
Setup:
Price makes lower low
MFI/RSI makes higher low (bullish divergence)
Institutional BUY signal appears
Volume confirms with spike
Entry:
Enter on signal candle or next
Stop Loss:
Below the divergence low
Take Profit:
Previous swing high or resistance
6. Best Practices {#best-practices}
✅ DO's:
1. Use Multiple Timeframes
Check higher timeframe for trend direction
Trade signals that align with higher timeframe
Example: 15m signals in direction of 1H trend
2. Combine with Key Levels
Support/resistance
Supply/demand zones
Previous day high/low
Round numbers (psychological levels)
3. Wait for Confirmation
Don't rush into trades
Let the signal candle close
Watch next candle for follow-through
4. Check the Metrics Table
Look at Relative Volume (should be >2.0)
Check Delta % (should be strong positive/negative)
Verify Order Flow aligns with signal
5. Consider Market Context
News events can override signals
Low liquidity times (lunch, overnight) less reliable
Major economic releases need caution
6. Paper Trade First
Test the indicator for 2-4 weeks
Learn how it behaves on your chosen assets
Develop confidence before using real money
Best Times to Trade:
Stock Market Hours:
9:30-11:30 AM EST (high volume, strong moves)
2:00-4:00 PM EST (institutional positioning)
Avoid: 11:30 AM-2:00 PM (lunch, low volume)
Forex:
London Open: 3:00-6:00 AM EST
New York Open: 8:00-11:00 AM EST
London/NY Overlap: 8:00 AM-12:00 PM EST
Crypto:
24/7 market, but highest volume during US/European hours
Watch for weekend low liquidity
7. Common Mistakes to Avoid {#mistakes}
❌ DON'T:
1. Trade Every Signal
Not all signals are equal
Focus on strength 4-5 signals
Wait for optimal setups
2. Ignore Market Structure
Don't buy into strong downtrends (catch falling knife)
Don't sell into strong uptrends (fight the tape)
Respect major support/resistance
3. Use Too Small Timeframes
1m and 2m charts are too noisy
Minimum recommended: 5m for scalping
Better: 15m, 30m, 1H for reliability
4. Overtrade
Quality over quantity
2-5 good trades per day is excellent
Forcing trades leads to losses
5. Ignore Risk Management
Always use stop losses
Risk only 1-2% per trade
Don't revenge trade after losses
6. Trade During Low Volume
Signals less reliable with low volume
Check Relative Volume metric (should be >1.5)
Avoid pre-market/after-hours for stocks
7. Misread Liquidity Grabs
Not every wick is a liquidity grab
Need volume confirmation
Must have institutional signal
Advanced Tips:
Filtering False Signals:
Use Signal Strength Filter:
Minimum strength 3 = Balanced
Minimum strength 4 = Conservative (recommended)
Minimum strength 5 = Ultra conservative
Confluence Checklist:
Signal strength ≥ 4
Relative volume > 2.0
At key support/resistance
Aligns with higher timeframe trend
Delta % strongly positive/negative
Clean price action setup
If 4+ boxes checked = High probability trade
Setting Up Alerts:
Click the three dots on the indicator
Select "Create Alert"
Choose condition:
"Institutional Buy Signal"
"Institutional Sell Signal"
"Dark Pool Activity"
Set up notification (email, SMS, app)
Save alert
Alert Strategy:
Set minimum strength to 4 for fewer, better alerts
Use for assets you can't watch constantly
Don't rely solely on alerts - check chart context
Practice Exercise:
Week 1-2: Observation
Add indicator to your favorite assets
Watch how signals develop
Note which ones lead to profitable moves
Don't trade yet - just observe
Week 3-4: Paper Trading
Use TradingView's paper trading
Trade only strength 4-5 signals
Record results in a journal
Note: entry, exit, profit/loss, what worked/didn't
Week 5+: Small Live Positions
Start with smallest position size
Trade only your best setups
Gradually increase size as you gain confidence
Keep detailed journal
Quick Reference Card:
Signal Quality Ranking:
🔥 Best Setups (Take These):
Strength 5 + Liquidity grab + Key level
Strength 4-5 + Volume >3.0 + Trend alignment
Dark Pool markers + Strength 4+ signal
✅ Good Setups:
Strength 4 at support/resistance
Strength 3-4 with strong delta
Liquidity grab + Strength 3+
⚠️ Caution (Wait for More):
Strength 2-3 in middle of nowhere
Against higher timeframe trend
Low volume (Rel Vol <1.5)
❌ Avoid:
Strength 2 only
During major news
Low liquidity hours
Against strong trend
Troubleshooting:
"Too many signals"
→ Increase Minimum Signal Strength to 4
→ Increase Volume Spike Multiplier to 2.5-3.0
"Too few signals"
→ Decrease Minimum Signal Strength to 2-3
→ Decrease Volume Spike Multiplier to 1.5
"Signals not working"
→ Check if you're trading during low volume hours
→ Verify you're using recommended timeframes
→ Make sure signals align with market structure
"Can't see liquidity zones"
→ Enable "Show Liquidity Zones" in settings
→ Adjust Swing Detection Length (try 7-15)
Resources for Further Learning:
Concepts to Study:
Order Flow Trading
Market Profile / Volume Profile
Smart Money Concepts (SMC)
Liquidity Sweeps and Stop Hunts
Institutional Order Flow
Wyckoff Method
Volume Spread Analysis (VSA)
Recommended Practice:
Study past signals on chart
Replay market using TradingView's bar replay feature
Join trading communities to share setups
Keep a detailed trading journal
Final Thoughts:
This indicator is a tool, not a crystal ball. It identifies high-probability setups where institutions are active, but still requires:
Proper risk management
Market context understanding
Patience and discipline
Continuous learning
Success Formula:
Right Tool + Proper Training + Risk Management + Discipline = Consistent Profits
Start slow, master the basics, and gradually increase complexity as you gain experience.
Good luck and trade smart! 📊📈
Liq Levels [KoTa]Liq Levels User Guide
Overview
Liquidation Levels visualizes precomputed long & short liquidation price levels relative to the current market price.
For each enabled leverage level (5×, 10×, 20× …), it draws two horizontal lines and small labels:
Short liquidation line (above price) = price × short_multiplier
Long liquidation line (below price) = price × long_multiplier
You can choose which leverage levels to display, control label formatting, choose whether to use the previous bar’s close (no-repaint), change line style & extension, and toggle label size.
Inputs / Settings (what they do)
Use Previous Close (No Repaint) (useConfirmed)
true: the indicator uses close (previous bar close) as reference. Prevents intrabar repainting — recommended for backtesting and stable signals.
false: uses close (current price) — updates intrabar and will repaint during the bar.
Show Price in Label (showValues)
true shows the numeric price next to the x label (e.g., 5x : 42,952.78), false shows only 5x.
Line Style (styleType) — "dot", "line", "dashed".
Extend Lines (extendType) — "none", "left", "right", "both".
Label Size (labelSize) — "normal", "small", "tiny".
Show 5x / 10x / 20x ... 200x (show_5x, etc.) — which multipliers are drawn.
Other technical details in code:
barOffset = 4: label & short segment are placed 4 bars to the right of current bar (so label appears to the right of the bar).
Numbers are formatted according to syminfo.mintick so labels display the appropriate decimal precision.
The script cleans up previously drawn lines & labels on every bar (deletes old objects, draws fresh ones) — so the chart does not accumulate stale objects.
What the lines represent (interpretation)
Each multiplier is precomputed and represents a liquidation price factor used to estimate where positions would be forcibly closed for a given leverage (based on some margin model).
Short multipliers > 1 → short liquidation prices sit above the reference price.
Long multipliers < 1 → long liquidation prices sit below the reference price.
Important: These multipliers are instrument- and margin-model-dependent. The indicator uses the hard-coded multipliers present in the script. Validate these against your exchange / contract type before relying on them for live position sizing.
Why use this indicator?
Use cases:
Risk awareness — see where concentrated liquidation levels sit relative to price; helps avoid taking positions dangerously close to likely liquidation clusters.
Liquidity / cascade detection — when price approaches a large cluster of liquidation levels, sharp moves and cascades can occur; indicator highlights such zones.
Order placement & risk management — place stops or reduce leverage when price nears your liquidation zone.
Trade context — helps decide whether to scale into or out of a trade if the current price is close to many leverage-level liquidation points.
Quick start — how to use (step-by-step)
Load the indicator on the chart.
Choose Use Previous Close = true if you want non-repainting historical levels; false if you prefer intrabar updating. (Recommended: true for backtesting and strategy creation.)
Enable the leverage levels you care about (e.g., 5×, 10×). Keep the number of enabled levels modest (3–4) to avoid clutter.
Choose line style & extension. If you want persistent lines visible across the chart, use extend = left or both. If you only want ephemeral current-level markers, use none.
Interpretation:
If price is approaching the long liquidation line (below price), it’s a sign long positions could be liquidated if price drops further. Consider tightening stops or reducing leverage for long exposure.
If price is approaching the short liquidation line (above price), short positions risk forced closure; similar risk management applies for shorts.
Example strategy (practical, step-by-step)
This is a risk-aware trend-following example that uses the indicator to avoid entering trades too close to liquidation clusters.
Rules
Timeframe: 15-minute or higher for clarity.
Confirm trend with a 50 EMA:
trendUp = price > EMA50
trendDown = price < EMA50
Entry (Long):
trendUp is true.
Price breaks above a short-term resistance or candle close above EMA20 (confirmation).
Distance requirement: current price must be at least X% (example 3%) above the nearest long liquidation line (i.e., price / nearest_long_liquidation >= 1.03).
Enter with defined stop loss: set SL below the nearest long liquidation line OR at a separate level (whichever is more conservative).
Position sizing: choose leverage & size so distance to liquidation gives you at least Y% equity buffer (e.g., 3–5%).
Exit / Take Profit: use risk/reward rule (e.g., 1:2 R:R), or trail stop using EMA or ATR.
Concrete numeric example (worked):
Suppose Use Previous Close = true and the indicator calculates 5× long liquidation at 95.618967 and 5× short at 110.668360 (example base price = 100).
Computation (for clarity):
5× short: 1.10668360333397 × 100 = 110.668360333397 → label shows ~110.668360
20× long: 0.956189674354271 × 100 = 95.61896743542711 → ~95.618967
Entry rule: if price crosses above EMA20 and price / nearest_long_liquidation >= 1.03 (i.e., price ≥ 95.618967 × 1.03 = 98.487536), then entry allowed. If price = 101, condition satisfied (101 / 95.618967 ≈ 1.056).
Why this helps: only enter when you have a buffer above your potential liquidation line; avoid entering directly on top of people’s liquidation levels.
Advantages
Immediate visual risk map — quickly see where liquidations are concentrated (both long & short).
Configurable & non-repainting option — Use Previous Close reduces intrabar repainting for robust backtesting.
Compact & readable — tiny labels and optional price display minimize chart clutter.
Performance-friendly — script deletes and recreates objects each bar, keeping object counts stable and within limits.
Precision formatting via syminfo.mintick so label decimals match the instrument.
Disadvantages & risks / limitations
Multipliers are fixed in the script — they may not reflect the exact margin/liquidation formula of every exchange / contract. Verify with exchange docs before relying on them for trade sizing.
Repainting risk if Use Previous Close = false (intrabar updates). For backtests and alerts you should set it true.
Not a predictor — liquidation levels are potential pressure zones, not guarantees of price movement. Many other market factors affect price action.
Instrument-specific differences — inverse perpetuals, cross margin vs isolated margin, funding rates and insurance funds may change actual liquidation mechanics — the multipliers may be inaccurate for those.
Chart object limits — TradingView has object limits. Although your script deletes and recreates objects each bar and uses max_* _count, using too many levels + large extend combinations on very low timeframes could impact platform performance.
No automatic per-position calculation — the indicator shows levels relative to current price, not your entry; if you need per-trade liquidation price, you must compute using your entry price and actual margin/leverage settings.
Visualizes common long/short liquidation price levels for several leverage multiples. Use the “Use Previous Close” option for stable, non-repainting levels. Verify multipliers vs your exchange before trading.
Long description to paste (publish page content): include the “Why use”, “How to use”, and “Strategy example” sections above plus a short disclaimer (see below).
Include a safety/legal disclaimer in the description:
This indicator is educational and does not constitute financial advice. Multipliers are precomputed and may not precisely match the liquidation mechanics of every exchange or contract. Backtest and verify on your instruments before trading live.
Final notes & suggestions for improvement
If you want tighter integration with your position data (entry price, leverage, margin type), I can add per-trade liquidation calculation inputs (entry price, leverage, maintenance margin) and draw that liquidation line relative to the instrument.
Camarilla Pivots + 20 EMA StrategyThis is an intraday volatility and trend-following system for commodities like Natural Gas, combining dynamic pivot levels (Camarilla) with a trend filter (20-period EMA) to improve risk-reward and reduce false breakouts.
Core Components
1. Camarilla Pivots:
These are special support and resistance levels (H3, H4, L3, L4) calculated each day based on the previous day's high, low, and close.
The pivots adapt to daily volatility, giving more relevant breakout and bounce zones than static lines.
H4: Aggressive resistance (used for breakout LONG entry)
H3: Moderate resistance/support (used for bounce or stoploss)
L4: Aggressive support (used for breakout SHORT entry)
L3: Moderate support/resistance (used for bounce or stoploss)
2. 20 EMA (Exponential Moving Average):
Plotted on the 30-minute chart, this acts as a trend filter.
If the price is above 20 EMA: Only look for long trades (bullish bias).
If below 20 EMA: Only look for short trades (bearish bias).
How the Strategy Works
Setup (30-Min Chart):
Camarilla pivots for the day are drawn on the chart.
20 EMA is also plotted.
Trade Filter:
Bullish: Trade ONLY if price is above 20 EMA.
Bearish: Trade ONLY if price is below 20 EMA.
Entry:
LONG: Enter when price breaks and closes above the H4 pivot AND is above 20 EMA.
SHORT: Enter when price breaks and closes below the L4 pivot AND is below 20 EMA.
Stop Loss:
LONG: Place stoploss at H3 (the next lower Camarilla resistance).
SHORT: Place stoploss at L3 (the next higher Camarilla support).
Target:
Always set a profit target at 2x the distance (risk) between entry and stoploss (strict R:R 2).
For example, if your entry is at H4 and stoploss at H3, your target is entry + 2*(entry - stoploss).
Alerts & Visuals:
The strategy plots entry arrows, stoploss and target lines for immediate visual reference.
Alerts trigger on breakout signals so you never miss a trade.
Why This Works Well for Natural Gas
Adapts to volatility: The pivots change daily, handling wide-ranging and choppy price moves better than fixed breakouts.
Trend filter: EMA prevents counter-trend whipsaws, only trades with market momentum.
Risk control: Every trade must meet strict risk-reward criteria, so losses are contained and winners can outweigh losers.
LA - MACD EMA BandsOverview of the "LA - MACD EMA Bands" Indicator
For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
The "LA - MACD EMA Bands" is a custom technical indicator written in Pine Script v6 for TradingView. It builds on the traditional Moving Average Convergence Divergence (MACD) oscillator by incorporating additional smoothing via Exponential Moving Averages (EMAs) and Bollinger Bands (BB) applied directly to the MACD line. This creates a multi-layered momentum and volatility tool displayed in a separate pane below the price chart (not overlaid on the price itself).
The indicator allows for customization, such as selecting a different timeframe (for multi-timeframe analysis) and adjusting period lengths. It fetches data from the specified timeframe using request.security with lookahead enabled to avoid repainting issues. The core idea is to provide insights into momentum trends, crossovers, and volatility expansions/contractions in the MACD's behavior, making it suitable for identifying potential trend reversals, continuations, or ranging markets.
Unlike a standard MACD, which focuses primarily on momentum via a single line, signal line, and histogram, this version emphasizes longer-term smoothing and volatility boundaries. It uses visual fills between lines to highlight bullish/bearish conditions, aiding quick interpretation. Below, I'll break down each component, its calculation, visual representation, and practical uses.
Detailed Breakdown of Each Component and Its Uses
MACD Line (Blue Line, Labeled 'MACD Line')
Calculation: This is the core MACD value, computed as the difference between a fast EMA (default length 12) and a slow EMA (default length 144) of the input source (default: close price). The EMAs are calculated on data from the selected timeframe.
Visuals: Plotted as a solid blue line.
Uses:
Measures momentum: When above zero, it indicates bullish momentum (prices rising faster in the short term); below zero, bearish momentum.
Trend identification: Rising MACD suggests strengthening uptrends; falling suggests downtrends.
Divergence spotting: Compare with price action—e.g., if price makes higher highs but MACD makes lower highs, it signals potential bearish reversal (and vice versa for bullish divergence).
In trading: Often used for entry/exit signals when crossing the zero line or other lines in the indicator.
MACD EMA (Red Line, Labeled 'MACD EMA')
Calculation: A 12-period EMA applied to the MACD Line itself.
Visuals: Plotted as a solid red line.
Uses:
Acts as a signal line for the MACD, smoothing out short-term noise.
Crossover signals: When the MACD Line crosses above the MACD EMA, it can signal a bullish buy opportunity; crossing below suggests a bearish sell.
Trend confirmation: Helps filter false signals in choppy markets by requiring confirmation from this slower-moving average.
In trading: Useful for momentum-based strategies, like entering trades on crossovers in alignment with the overall trend.
Fill Between MACD Line and MACD EMA (Green/Red Shaded Area, Titled 'MACD Fill')
Calculation: The area between the MACD Line and MACD EMA is filled with color based on their relative positions.
Color Logic: Green (with 57% transparency) if MACD Line > MACD EMA (bullish); red if MACD Line < MACD EMA (bearish).
Visuals: Semi-transparent fill for easy visibility without overwhelming the lines.
Uses:
Quick visual cue for momentum shifts: Green areas highlight bullish phases; red for bearish.
Enhances readability: Makes crossovers more apparent at a glance, especially in fast-moving markets.
In trading: Can be used to time entries/exits or as a filter (e.g., only take long trades in green zones).
Bollinger Bands on MACD (BB Upper: Black Dotted, BB Basis: Maroon Dotted, BB Lower: Black Dotted)
Calculation: Bollinger Bands applied to the MACD Line.
BB Basis: 144-period EMA of the MACD Line.
BB Standard Deviation: 144-period stdev of the MACD Line.
BB Upper: BB Basis + (2.0 * BB Stdev)
BB Lower: BB Basis - (2.0 * BB Stdev)
Visuals: Upper and lower bands as black dotted lines; basis as maroon dotted
Uses:
Volatility measurement: Bands expand during high momentum volatility (strong trends) and contract during low volatility (ranging or consolidation).
Mean reversion: When MACD Line touches or exceeds the upper band, it may signal overbought conditions (potential sell); lower band for oversold (potential buy).
Squeeze detection: Narrow bands (squeeze) often precede big moves—watch for breakouts.
In trading: Combines momentum with volatility; e.g., a MACD Line breakout above the upper band could confirm a strong uptrend.
BB Basis EMA (Green Line, Labeled 'BB Basis EMA')
Calculation: A 72-period EMA applied to the BB Basis (which is already a 144-period EMA of the MACD Line).
Visuals: Solid green line.
Uses:
Further smoothing: Provides a longer-term view of the MACD's average behavior, reducing noise from the BB Basis.
Trend direction: Acts as a baseline for the BB system—above it suggests bullish bias in momentum volatility; below, bearish.
Crossover with BB Basis: Can signal shifts in volatility trends (e.g., BB Basis crossing above BB Basis EMA indicates increasing bullish volatility).
In trading: Useful for confirming longer-term trends or as a filter for BB-based signals.
Fill Between BB Basis and BB Basis EMA (Gray Shaded Area, Titled 'BB Basis Fill')
Calculation: The area between BB Basis and BB Basis EMA is filled.
Color Logic: Currently set to a constant semi-transparent gray regardless of position.
Visuals: Semi-transparent gray fill.
Uses:
Highlights divergence: Shows when the shorter-term BB Basis deviates from its longer-term EMA, indicating potential volatility shifts.
Visual aid for crossovers: Makes it easier to spot when BB Basis crosses its EMA.
In trading: Could be used to identify overextensions in volatility (e.g., wide gray areas might signal impending mean reversion).
Zero Line (Black Horizontal Line)
Calculation: A simple horizontal line at y=0.
Visuals: Solid black line.
Uses:
Reference point: Divides bullish (above) from bearish (below) territory for all MACD-related lines.
In trading: Crossovers of the zero line by the MACD Line or BB Basis can signal major trend changes.
How It Differs from a Normal MACD
A standard MACD (e.g., the built-in TradingView MACD with defaults 12/26/9) consists of:
MACD Line: EMA(12) - EMA(26).
Signal Line: EMA(MACD Line, 9).
Histogram: MACD Line - Signal Line (bars showing convergence/divergence).
Key differences in "LA - MACD EMA Bands":
Periods: Uses a much longer slow EMA (144 vs. 26), making it more sensitive to long-term trends but less reactive to short-term price action. The MACD EMA is 12 periods (vs. 9), further emphasizing smoothing.
No Histogram: Replaces the histogram with fills and bands for visual emphasis on crossovers and volatility.
Added Bollinger Bands: Applies BB directly to the MACD Line (with a long 144-period basis), introducing volatility analysis absent in standard MACD. This helps detect "squeezes" or expansions in momentum.
Additional EMA Layer: The BB Basis EMA (72-period) adds a secondary smoothing level to the BB system, providing a hierarchical view of momentum (short-term MACD → mid-term BB → long-term EMA).
Multi-Timeframe Support: Built-in option for higher timeframes, unlike basic MACD.
Focus: Standard MACD is purely momentum-focused; this version integrates volatility (via BB) and multi-layer smoothing, making it better for trend-following in volatile markets but potentially overwhelming for beginners.
Overall, this indicator transforms the MACD from a simple oscillator into a comprehensive momentum-volatility hybrid, reducing false signals in trending markets but introducing lag.
Overall Pros and Cons
Pros:
Enhanced Visualization: Fills and bands make trends, crossovers, and volatility easier to spot without needing multiple indicators.
Reduced Noise: Longer periods (144, 72) smooth out whipsaws, ideal for swing or position trading in trending assets like stocks or forex.
Volatility Integration: BB adds a dimension not in standard MACD, helping identify breakouts or consolidations.
Customizable: Inputs for timeframes and lengths allow adaptation to different assets/timeframes.
Multi-Layered Insights: Combines short-term signals (MACD crossovers) with long-term confirmation (BB EMA), improving signal reliability.
Cons:
Lagging Nature: Long periods (e.g., 144) delay signals, missing early entries in fast markets or leading to late exits.
Complexity: Multiple lines and fills can clutter the pane, requiring experience to interpret; beginners might misread it.
Potential Overfitting: Custom periods (12/144/12/144/72) may work well on historical data but underperform in live trading without backtesting.
No Built-in Alerts/Signals: Relies on visual interpretation; users must manually set alerts for crossovers.
Resource Intensive: On lower timeframes or with lookahead, it might slow chart loading on Trading View.
This indicator shines in strategies combining momentum and volatility, like trend-following with BB squeezes, but test it on your assets (e.g., via backtesting) to ensure it fits your style.
For Better view, use this indicator along with "LA - EMA Bands with MTF Dashboard"
LA - EMA Bands with MTF DashboardDetailed Explanation of the LA - EMA Bands with MTF Dashboard Indicator
This custom Pine Script v6 indicator, designed for Trading View, overlays EMA-based price channels on the chart while incorporating a multi-timeframe (MTF) dashboard for broader market context. It focuses on visualizing trend direction and momentum through three sets of EMA bands, each representing different time horizons, and extends this with a tabular dashboard that summarizes signals across user-selected timeframes. The bands help identify support, resistance, and trend shifts, while the dashboard provides at-a-glance alignment across multiple periods, aiding in confirming trades or spotting divergences. Unlike volatility-based channels (e.g., Bollinger or Keltner), it relies solely on EMAs for simplicity and lag-reduced responsiveness.
Inputs Section
The script begins with user-configurable options grouped for ease. A timeframe input allows specifying a resolution for the EMA bands' data fetching, defaulting to the chart's timeframe if left empty—this enables higher-timeframe overlays on lower charts for context.
Next, a shared source input defines the price data for all midlines, defaulting to the midpoint of high and low (hl2) but customizable to close, open, or others.
The EMA bands have dedicated toggles and length inputs for each of the three sets: the first (long-term) defaults to 144 periods, the second (medium-term) to 72, and the third (short-term) to 12. These are inlined for compact settings panels, with minimum lengths of 1 to prevent errors.
A boolean toggle controls the visibility of the MTF dashboard. Following this are nine pairs of inputs for dashboard timeframes: each pair includes a show/hide toggle and an editable timeframe string (e.g., '1' for 1-minute, 'D' for daily). Defaults progress from short (1, 3, 5 minutes) to longer (15, 30, 60 minutes, daily, weekly, monthly), grouped in inlines for organization. Only enabled and non-empty timeframes appear in the dashboard.
Helpers Section
Two utility functions are defined here. The first computes an EMA on any source series over a specified length using Trading View's built-in function, reused throughout for midlines and bands.
The second function generates a signal string ("B" for buy/bullish, "S" for sell/bearish, or "-" for neutral) based on the direction of an EMA applied to high prices. It compares the current EMA value to the previous one, mirroring the band fill logic for consistency in the dashboard.
Core Components per Band Set:
Midline: An EMA calculated on a user-selectable source price (default: hl2, which is the midpoint between high and low prices). This acts as the central trend line.
Upper Band: An EMA applied directly to the high prices of each bar.
Lower Band: An EMA applied to the low prices of each bar.
These form a channel that captures the smoothed range of price action, highlighting potential support (lower band), resistance (upper band), and overall trend direction (midline).
Multiple Band Sets: The indicator includes three independent EMA band sets, each with its own length parameter for customization:
EMA1 (default length: 144) – Focuses on long-term trends.
EMA2 (default length: 72) – Targets medium-term trends.
EMA3 (default length: 12) – Emphasizes short-term momentum.
Each set can be toggled on or off via input checkboxes, allowing users to reduce chart clutter if needed.
Visual Elements:
Midline Plot: Displayed as a line colored based on its direction compared to the previous bar: green for rising (bullish), red for falling (bearish), and black for neutral (flat).
Band Fill: The area between the upper and lower bands is filled with a semi-transparent color indicating the trend of the upper band: light green for rising (suggesting expanding highs/upward momentum) and light pink for falling (contracting highs/downward pressure). The bands themselves are plotted in blue with a thin linewidth.
Multi-Timeframe Support: Users can input a custom timeframe (e.g., 'D' for daily), and the indicator fetches data from that resolution. This enables higher-timeframe context on lower-timeframe charts, such as viewing daily EMA bands on a 1-hour chart.
Calculation Mechanics:
All EMAs are computed using Trading View's built-in ta.ema() function.
Data is retrieved in a single request.security() call for efficiency, with lookahead enabled to avoid repainting.
No multipliers or volatility adjustments are included, making it a simple EMA-based envelope rather than a true volatility channel.
In practice, this indicator helps traders identify trend strength, potential breakouts (price crossing bands), or mean-reversion opportunities (price bouncing within bands). It's particularly useful for swing or position trading where multi-period alignment (e.g., all midlines green) signals conviction.
Pros
Multi-Period Insight: By combining short (12), medium (72), and long (144) periods, it offers a layered view of trends across time horizons, helping confirm alignments or divergences without needing multiple separate indicators.
Visual Clarity: Color-coded trends and fills make it easy to spot bullish/bearish shifts at a glance, reducing analysis time.
Flexibility: Custom timeframe input allows for multi-timeframe analysis, while shared source and toggles provide user control.
Simplicity and Efficiency: Purely EMA-based, it's computationally light and avoids overcomplication, making it accessible for beginners while still useful for spotting channel-based setups like squeezes or expansions.
No Repainting: With lookahead, plots are stable once bars close.
Cons
Lagging Nature: EMAs inherently lag price action, especially longer ones like 144-period, which may cause delayed signals in fast-moving or ranging markets.
Lack of Volatility Adjustment: Unlike Keltner Channels or Bollinger Bands, it doesn't incorporate ATR or standard deviation, so bands may not accurately reflect true volatility—potentially leading to false breakouts in high-volatility environments.
Chart Clutter: Displaying all three band sets simultaneously can overcrowd the chart, particularly on lower timeframes or volatile assets.
Subjective Interpretation: Color changes and band interactions require trader discretion; there's no built-in alerting or quantitative signals, which might lead to inconsistent results.
Market Dependency: Defaults may not suit all assets (e.g., stocks vs. crypto); shorter periods like 12 could whipsaw in noisy markets, while 144 might be too slow for intraday trading.
Justification for Default Values (12, 72, and 144)
The default lengths of 12, 72, and 144 are not arbitrary but draw from established trading principles, particularly W.D. Gann's geometric and numerical theories, as well as Fibonacci sequences, to create a harmonic progression for short-, medium-, and long-term analysis. Here's the rationale:
12 (Short-Term): This is a common period for capturing recent momentum in technical indicators, often seen in setups like the MACD (which uses 12- and 26-day EMAs). It aligns with natural cycles, such as the 12 months in a year, and in Gann theory, 12 serves as a base unit for squaring price and time (e.g., in the "Square of 12" where multiples like 12, 24, etc., measure cycles in days, weeks, or months). At 12 periods, the EMA reacts quickly to price changes without excessive noise, making it ideal for short-term trend detection.
72 (Medium-Term): This acts as an intermediate bridge, derived from Gann's divisions of the 360-degree circle (a key Gann concept representing a full cycle). Specifically, 72 is 360/5 (relating to pentagonal geometry and natural harmonics) and appears in Gann's time cycle measurements (e.g., as a multiple in the Square of 12: 12×6=72). It's roughly half of 144, providing a balanced midpoint for medium-term trends without overlapping too closely with the others. In practice, 72 periods smooth out short-term fluctuations while still responding to developing trends.
144 (Long-Term): This is a powerhouse number in trading lore, being both 12 squared (12×12=144, central to Gann's "Square of 144" for monthly charts and major cycle turns, as there are 12 months in a year) and a Fibonacci sequence value (1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144...). Fibonacci periods are popular in moving averages for their alignment with natural growth patterns in markets, and 144 is often used for long-term regime definition (e.g., confirming trends over 144 bars). It helps identify major support/resistance in extended cycles.
Overall, these values form a geometric/harmonic series (12, 72=12×6, 144=12×12), promoting alignment with market cycles as per Gann and Fibonacci principles, rather than generic lengths like 50 or 200. They can be adjusted based on the asset or timeframe, but the defaults provide a starting point rooted in time-tested trading numerology for balanced multi-period analysis.
Please use this along with other indicators (eg. Pivot, MACD, etc) for better results.
Market Pressure Differential (MPD) [SharpStrat]Market Pressure Differential (MPD)
Concept & Purpose
The Market Pressure Differential (MPD) is a proprietary indicator designed to measure the internal balance of buying and selling pressure directly on the price chart.
Unlike standard momentum or trend indicators, MPD analyzes the structural behavior of each candle—its body, wicks, and overall range—to determine whether the market is dominated by expansion (buying aggression) or contraction (selling absorption).
This indicator provides a visual overlay of market pressure that adapts dynamically to volatility, helping traders see real-time shifts in participation intensity without using oscillators.
In simple terms:
When MPD expands upward → buyer pressure dominates.
When MPD contracts downward → seller pressure dominates.
Calculation Overview
MPD uses a structural candle formula to compute directional pressure:
Body Ratio = (Close − Open) / (High − Low)
Wick Differential = (Lower Wick − Upper Wick) / (High − Low)
Raw Pressure = (Body Ratio × Body Weight) + (Wick Differential × Wick Weight)
Then it applies:
EMA smoothing (to stabilize short-term noise)
Standard deviation normalization (to maintain consistent scaling)
ATR projection (to adapt the signal visually to volatility)
This produces the MPD projection line and the pressure ribbon, drawn directly on the main chart.
Customizable Inputs
Users can adjust color schemes, EMA smoothing length, ATR parameters, normalization length, and body/wick weighting to adapt the indicator’s sensitivity and aesthetic to different markets or chart themes.
How to Use
The Market Pressure Differential (MPD) visualizes the real-time balance between buying and selling pressure. It should be used as a contextual bias tool, not a standalone signal generator.
The white line represents the MPD projection, showing how market pressure evolves in real time based on candle structure and volatility.
The red line represents the ATR envelope, which defines the market’s expected volatility range.
MPD reacts quickly to candle structure, so trend bias is based on how its projection behaves relative to the ATR envelope:
Above the ATR band → positive pressure and bullish bias.
Below the ATR band → negative pressure and bearish bias.
Hovering near the ATR band → neutral or indecisive conditions.
The MPD percentage in the label represents the normalized strength of pressure relative to recent volatility.
Positive % = buying dominance.
Negative % = selling dominance.
Higher absolute values = stronger momentum compared to volatility.
To trade with MPD:
Watch candle colors and the projection line — green or positive % shows buyer control, red or negative % shows seller control.
Note transitions above or below the ATR level for early signs of momentum shifts.
Combine MPD signals with price structure, key levels, or volume for confirmation.
This helps reveal which side controls the market and whether that pressure is strong enough to overcome typical volatility.
Disclaimer
It introduces a novel structural–pressure approach to visualizing market dynamics.
For educational and analytical purposes only; this does not constitute financial advice.
Gho$t EMA CloudSimple 9/14EMA With Cloud system. Ghost EMA Cloud is a clean, minimal trend-tracking indicator designed to visualize short-term momentum shifts. It plots the 9-EMA (gray) and 14-EMA (white) while shading the area between them with dynamic cloud colors — green when momentum turns bullish, red when it weakens. The smooth cloud instantly highlights crossovers that often precede breakout or reversal moves. Optional 5-EMA and 12-EMA layers can be toggled on for extra precision without cluttering the chart. Ideal for intraday and swing traders, Ghost EMA Cloud helps you confirm entries, spot trend continuations, and time exits with clear visual simplicity and speed.
Simple Premarket High/LowA very simple script to mark pre-market highs and lows. Useful for momentum trading, discovering breakouts against pre-market levels.
LX Alex – Trendwechsel Signale TestSTC Alex is a trend-following indicator that gives one clear signal per trend change.
It combines MACD and Stochastic to detect early buy and sell opportunities.
Green → Long signal (Buy)
Blue → Short signal (Sell)
Signals are triggered only once, after a confirmed candle (e.g., after 1 or 2 bars)
Works on all timeframes. You’ll receive only clean, confirmed alerts – no signal spam.
ATR-Based Stop Loss & TP (Last Bar Only, Styled, Dynamic RR)ATR-Based SL/TP (Last Bar Only, Styled, Dynamic RR)
This indicator calculates SL and TP levels based on the 30-bar Average True Range (ATR) and displays them as horizontal lines on the chart.
Features:
- Separate SL and TP lines for Long and Short positions.
- Long SL: red solid line
- Long TP: green solid line
- Short SL: red dashed line
- Short TP: green dashed line
- Lines extend to the right, based on the last bar only.
- Labels are displayed to the right of the lines and remain fixed.
- Risk:Reward ratio (R:R) is adjustable via input.
Inputs:
- ATR Length: period used for ATR calculation
- ATR Multiplier: ATR multiplier for SL/TP distance
- Bars for Average ATR: number of bars to calculate average ATR (default: 30)
- Risk:Reward: desired R:R ratio
- Label Right Offset Bars: number of bars to shift the label to the right for better visibility
Usage: Visualizes SL and TP levels for the last bar only. Lines and labels update automatically with each new bar.
MA Paketi This advanced MA & ATR Channel Indicator allows you to monitor both short-term and long-term trends on the same chart.
The script includes 9, 21, 50, 100, and 200-period moving averages (MAs) and also lets you add a custom MA of your choice.
Around the 200 MA, a ±6 ATR channel dynamically defines volatility-based support and resistance zones.
Key Features:
🔹 Five classic MAs (9, 21, 50, 100, 200)
🔹 User-defined custom MA (SMA, EMA, WMA, RMA, HMA options)
🔹 MA200-centered ±ATR channel (fully adjustable multiplier and period)
🔹 ATR-based dynamic volatility band
🔹 Alert conditions (notifies when price breaks above or below the channel)
🔹 Clean, colorful, and professional visual design
This indicator helps you analyze trend direction, momentum shifts, and volatility-driven reversal zones simultaneously.
Perfect for swing, scalp, and position traders alike.
ATR DrawerWith this ATR chart, you can easily see what yesterday's ATR was compared to today's High/Low, and if you want, it will also show you yesterday's ATR number in the corner.
When a new High/Low is created, the lines automatically adapt to yesterday's ATR. Every day, it recalculates and redraws the lines to yesterday's ATR level.
You can set:
- ATR length
- ATR line width
- Line color
- Show/hide yesterday's ATR
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does
CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time.
Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones.
The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior.
It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels.
⚙️ Main Features
✅ Price-mapped CVD Overlay
CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure.
✅ Multi-Timeframe Presets
Three sensitivity presets optimized for different chart environments:
Strict (4H) → Best for macro trends and high-timeframe structure.
Balanced (1H / 30m) → Great for active swing setups.
Sensitive (15m) → Captures short-term intraday reversals.
✅ Dynamic Bands & Smoothing
Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points.
✅ Smart Buy/Sell Signal Logic
Automatic label triggers when the CVD Overlay crosses its smoothed baseline:
🟢 BULL LONG → Rising CVD above the mean (buyers in control).
🔴 BEAR SHORT → Falling CVD below the mean (sellers in control).
✅ Persist Mode
Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise.
✅ Clean, Minimal Overlay
Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups.
🧩 Use Case
CVD Pro is designed for traders who:
Use Smart Money Concepts (SMC) or ICT-style trading
Watch for FVG reactions, breaker blocks, and liquidity sweeps
Need to confirm order flow direction or momentum strength
Trade intraday or swing setups with precision entries and clear bias confirmation
⚡ Recommended Settings
4H / 1H: Use Strict mode for major structure and confirmation.
1H / 30m: Balanced mode for clear mid-term trend alignment.
15m: Sensitive mode to catch scalps and lower-TF shifts.
🧠 Pro Tips
Combine with RSI or Market Structure Breaks (MSS) for additional confluence.
A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal.
Persistent CVD crossover + price structure break = high-probability entry.
🧩 Credits
Created by Patrick S. ("Nova Labs")
Concept inspired by professional order-flow analytics and adaptive Z-Score normalization.
Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)?
It’s usually a 2–3 sentence hook like:
“Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
Supply & Demand Zones [QuantAlgo]🟢 Overview
The Supply & Demand (Support & Resistance) Zones indicator identifies price levels where significant buying and selling pressure historically emerged, using swing point analysis and pattern recognition to mark high-probability reversal and continuation areas. Unlike conventional support/resistance tools that draw arbitrary horizontal lines, this indicator can automatically detect structural zones, offering traders systematic entry and exit levels where institutional order flow likely congregates across any market or timeframe.
🟢 How to Use
# Zone Types:
Green/Demand Zones: Support areas where buying pressure historically emerged, representing potential long entry opportunities where price may bounce or consolidate before moving higher. These zones mark levels where buyers previously overcame sellers.
Red/Supply Zones: Resistance areas where selling pressure historically dominated, indicating potential short entry opportunities where price may reverse or stall before declining. These zones identify levels where sellers previously overwhelmed buyers.
# Zone Pattern Types:
Wick Rejection Zones: Zones created from candles with exceptionally long wicks showing violent price rejection. A demand rejection occurs when price drops sharply but closes well above the low, forming a long lower wick (relative to the total candle range) that demonstrates buyers aggressively defending that level. A supply rejection shows price spiking higher but closing well below the high, with the long upper wick proving sellers rejected that price aggressively. These zones often represent major institutional orders that absorbed significant market pressure. The rejection wick ratio setting controls how prominent the wick must be (higher ratios require more dramatic rejections and produce fewer but higher-quality zones).
Continuation Demand Zones: Areas where price rallied upward, paused in a brief consolidation base, then rallied again. This pattern confirms strong buying continuation (the consolidation represents profit-taking or minor pullbacks that failed to attract meaningful selling). When price returns to these zones, buyers who missed the initial rally often provide support, making them high-probability long entries within established uptrends. These zones follow the classic Rally-Base-Rally structure, demonstrating that buyers remain in control even during temporary pauses.
Reversal Demand Zones: Zones where price dropped, formed a consolidation base, then reversed into a rally. This structure marks potential trend reversals or major swing lows where buyers finally overwhelmed sellers after a decline. The base period represents accumulation by stronger hands, and these zones frequently appear at market bottoms or as significant pullback support within larger uptrends, signaling shifts in market control. These zones follow the Drop-Base-Rally pattern, showing the moment when selling pressure exhausted and buying interest emerged.
Continuation Supply Zones: Areas where price dropped, consolidated briefly, then dropped again. This pattern demonstrates strong selling continuation (the pause represents temporary buying attempts that failed to generate meaningful recovery). When price returns to these zones, sellers who missed the initial decline often provide resistance, creating short entry opportunities within established downtrends. These zones follow the Drop-Base-Drop structure, confirming that sellers maintain dominance even during temporary consolidations.
Reversal Supply Zones: Zones where price rallied upward, formed a consolidation base, then reversed into a decline. This formation identifies potential trend reversals or major swing highs where sellers overcame buyers after an advance. The base period often represents distribution by institutional participants, and these zones commonly appear at market tops or as key pullback resistance within larger downtrends, marking transfers of market control from buyers to sellers. These zones follow the Rally-Base-Drop pattern, capturing the transition point when buying exhaustion meets aggressive selling.
# Zone Mitigation Methods:
Wick Mitigation: Zones become invalidated immediately upon first contact by any wick. This assumes zones work only on their initial test, reflecting the belief that institutional orders concentrated at these levels get completely filled on first touch. Best for traders seeking only the highest-probability, untested zones and willing to accept that zones invalidate frequently in volatile markets. When price touches a zone boundary with even a single wick, that zone is considered "used up" and becomes mitigated.
Close Mitigation: Zones remain valid through wick penetration but become invalidated only when a candle closes through the zone boundary. This method allows price to briefly probe the zone with wicks while requiring actual commitment (a close) for invalidation. Suitable for traders who recognize that zones can withstand initial tests and prefer filtering out false breakouts caused by temporary volatility or liquidity hunts. A zone stays active as long as candles close within or outside it, regardless of wick penetration, until a close occurs beyond the boundary.
Full Body Mitigation: Zones stay valid until an entire candle body exists completely beyond the zone boundary, meaning both the open and close must be outside the zone. This approach maintains zone validity through partial penetrations, accommodating the reality that institutional zones can absorb considerable price action before exhausting. Ideal for volatile markets or traders who believe zones represent price ranges rather than precise levels, and who want zones to persist through aggressive but ultimately rejected breakout attempts. Only when both the open and close of a candle are beyond the zone does it become mitigated.
🟢 Pro Tips for Trading and Investing
→ Preset Selection: Choose presets matching your preferred timeframe - Scalping (M1-M30) for aggressive detection on minute charts, Intraday (H1-H12) for balanced filtering on hourly timeframes, or Swing Trading (1D+) for strict filtering on daily charts. Each preset automatically optimizes swing length, zone strength, and max zone counts for the selected timeframe.
→ Input Calibration: Adjust Swing Length based on market speed (lower values 3-7 for fast markets, higher values 12-20 for slower markets). Set Minimum Zone Strength according to asset volatility (0.05-0.15% for low-volatility assets, 0.25-0.5% for high-volatility assets). Tune Rejection Wick Ratio higher (0.6-0.8) for strict wick filtering or lower (0.3-0.5) to capture more subtle rejections.
→ Zone Pattern Toggle Strategy: Pattern types are mutually exclusive - enable Continuation OR Reversal patterns for each zone type, not both together. Recommended combinations: For trend trading, enable Rejection + Continuation (2-4 toggles total). For reversal trading, enable Rejection + Reversal (2-4 toggles). For scalping, enable only Rejection zones (1-2 toggles). Maximum 3-4 active toggles provides optimal chart clarity. A simple Wick Rejection toggle can also work on virtually any market and timeframe.
→ Mitigation Method Selection: Use Wick mitigation in clean trending markets for strict zone invalidation on first touch. Use Close mitigation in moderate volatility to filter out temporary spikes. Use Full Body mitigation in highly volatile markets to keep zones active through whipsaws and false breakouts.
→ Alert Configuration: Utilize built-in alerts for new zone creation, zone touches, and zone breaks. New zone alerts notify when fresh supply/demand areas form. Zone touch alerts signal potential entry opportunities as price reaches zones. Zone break alerts indicate when levels fail, signaling possible trend acceleration or structure changes.
SPCE Indikator 2Lines crossing means Short or Long!
The Blue line needs to be above the Orange line and crosses it from above. And for shorts it is the opposite
CloudShiftCloudShift + Bollinger Bands
This version of CloudShift now includes fully optimized Bollinger Bands with all three dynamic lines:
Upper Band: Highlights expansion during volatility spikes.
Lower Band: Identifies compression and accumulation zones.
Centerline (Basis): A smooth reference of the moving average, providing better visual balance and directional context.
The bands are drawn with thin, clean lime lines, designed to integrate perfectly with the cloud logic — keeping your chart minimalist yet powerful.
This update enhances the CloudShift indicator by providing a clear visual framework of market volatility and structure without altering its original logic.
Recommended for use on: NASDAQ, S&P 500, and other high-volatility futures.
Recommended timeframe: 5–15 minutes.
TSI Base BTC 1D /tv! (www.tradingview.com)
# 🧠 TSI Base BTC 1D /tv
## Overview
**TSI Base BTC 1D /tv** is a **trend-following strategy** optimized for **Bitcoin on the 1D timeframe**, though it also performs strongly across other major cryptocurrencies.
It’s designed to identify major directional shifts while filtering out short-term noise, maintaining a balance between **clarity, consistency, and risk control**. The system focuses on staying aligned with large market trends — not chasing every fluctuation — which makes it particularly suited for traders seeking structured, high-integrity signals.
---
## Backtesting & Performance
This strategy has been tested extensively across multiple market cycles. The chosen backtest range — **from 2018 to the present** — is deliberate, as it captures both a full **bear market and bull market phase**, offering a statistically representative view of long-term performance and risk behavior.
We also recommend testing the strategy **from 2023 onward**, covering the ongoing bull run, to evaluate how it adapts to renewed momentum and volatility expansion.
Across both periods, TSI Base BTC 1D /tv demonstrates **consistent profitability**, **contained drawdowns**, and a **disciplined number of trades**, often outperforming a simple buy-and-hold benchmark.
Although primarily designed for **1D charts**, the system can also be applied to shorter timeframes while maintaining its trend-based integrity.
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## Risk Management Inputs
The strategy includes optional parameters allowing traders to fine-tune risk and reward dynamics while preserving the same core logic:
- **Enable Stop Loss (%)** → activates a protective stop loss. You can freely adjust this percentage; however, using a **6 % Stop Loss** (as shown below) has proven to **increase overall profitability** while keeping the **maximum equity drawdown** close to **11.48 %**, compared to over 12 % without it.
📈 *Example backtest with 6 % Stop Loss enabled (2018 – 2025):*
*(Image below illustrates total P&L, drawdown, and profitable trade ratio.)*
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- **Enable Take Profit (%)** → sets a percentage target where profits are automatically secured once reached.
- **Fixed Stop-Loss / Take-Profit Price** → allows absolute price levels (enter “0” to disable).
- **Enable Trailing Stop (%)** → locks in profits by following price movement from the last peak.
> These inputs are optional and should be used experimentally. Each trader can adapt them to their own risk tolerance and market conditions.
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## Automation
Given its non-repainting design, **automation is highly recommended** for consistent execution.
The strategy can be connected to external automation systems such as **Signum**, which has been tested and confirmed to operate seamlessly.
*(Disclosure: we are not affiliated with Signum or any automation provider. Mentions are purely illustrative and for educational purposes.)*
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## Trading Philosophy
TSI Base BTC 1D /tv aims to **capture the essence of macro trends** while avoiding emotional over-trading.
It keeps traders positioned during periods of strength and sidelines them during uncertainty, offering a disciplined, data-driven approach to following momentum.
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## Key Characteristics
- ✅ **No Repainting** — signals confirmed on candle close.
- ✅ **Trend-Based Logic** — trades align with macro directional bias.
- ✅ **Volatility-Adaptive** — dynamic envelopes respond to market expansion and contraction.
- ✅ **Backtest-Proven Stability** — consistent across multiple cycles.
- ✅ **Automation-Ready** — compatible with external trade-execution platforms.
---
⚠️ **Disclaimer:**
This strategy is provided solely for **educational and research purposes**. It does **not constitute financial advice**.
Users are responsible for their own configurations, including Stop Loss, Take Profit, and Trailing Stop settings.
While examples show that enabling a **6 % Stop Loss** can improve historical results and reduce drawdown, performance may vary across assets and timeframes.
Always backtest thoroughly and use demo environments before applying live capital.
Eyas's EyeTry it and see!!
# 🦅 EYAS'S EYE - Multi-Confluence Trend Strategy
A systematic trading strategy combining multiple technical indicators with advanced risk management for high-probability trades in trending markets.
## 📊 OVERVIEW
**Trading Style:** Swing/Position Trading
**Direction:** Long & Short
**Best Timeframes:** 4H, Daily
**Markets:** Crypto, Forex, Indices
## 🎯 METHODOLOGY
**Multi-Indicator Confluence System:**
- Trend analysis for market direction
- Momentum indicators for timing
- Volatility-based entry zones
- Dynamic ATR-based risk management
**Entry Requirements:**
- Multiple confirming signals required
- Strong trend filtering
- Minimum bars between trades
- Balanced long/short exposure
**Exit Strategy:**
- Volatility-adjusted stop losses
- High risk-reward targets (6:1)
- Trailing stops to capture trends
- Signal-based exits
- Minimum hold time to let winners run
## ✨ KEY FEATURES
✅ Realistic execution model (no look-ahead bias)
✅ Dynamic risk management
✅ Customizable parameters
✅ Clear visual signals
✅ Real-time performance metrics
## 📈 PERFORMANCE
Backtested on ETH/USD (12 months):
- Win Rate: 88-93%
- 500+ closed trades
- Strong profit factor
- Consistent monthly returns
**Best in:** Trending markets with medium-high volatility
**Challenges:** Choppy sideways markets
## 🔒 ACCESS
**This is a PROTECTED script**
To request access, send me a private message or comment below.
## ⚠️ DISCLAIMER
Trading involves substantial risk. Past performance does not guarantee future results. This is not financial advice. Always test with paper trading first and never risk more than you can afford to lose.
---
**Strategy Philosophy:** Quality over quantity. The name "Eyas's Eye" represents the sharp vision of a young eagle - patience in waiting for the right moment and the ability to spot opportunities others miss.
🦅 **Trade with vision. Trade with Eyas's Eye.**
Multi-Signal IndikatorHier ist eine professionelle Beschreibung für deinen Indikator auf Englisch:
Multi-Signal Trading Indicator - Complete Market Analysis
This comprehensive trading indicator combines multiple technical analysis tools into one powerful dashboard, providing traders with all essential market information at a glance.
Key Features:
Trend Analysis: Three EMAs (9, 21, 50) with automatic trend detection and Golden/Death Cross signals
Momentum Indicators: RSI with overbought/oversold zones and visual alerts
Trend Strength: ADX indicator with DI+ and DI- showing the power of bullish and bearish movements
Market Fear Gauge: VIX (Volatility Index) integration displaying market sentiment from calm to panic levels
Volume Confirmation: Smart volume analysis comparing current activity against 20-period average
Support & Resistance: Automatic pivot point detection with dynamic S/R lines
Buy/Sell Signals: Combined signals only trigger when trend, RSI, and volume align perfectly
Visual Dashboard: Color-coded info panel showing all metrics in real-time with intuitive emoji indicators
Perfect for: Day traders, swing traders, and investors who want a complete market overview without cluttering their charts with multiple indicators.
Customizable settings allow you to adjust all parameters to match your trading style.