Liquidity Sweeps [Quantum Algo]Liquidity Sweeps is an open-source liquidity sweep indicator that maps resting
liquidity at swing highs and swing lows, then flags the exact moment that liquidity is swept and
rejected — the classic stop-hunt behaviour traders watch for in Smart Money Concepts (SMC).
WHAT IS A LIQUIDITY SWEEP?
A liquidity sweep (also called a liquidity grab or stop hunt) happens when price briefly spikes
beyond an obvious swing high or swing low — where stop-loss and breakout orders rest — and then
closes back inside the prior range. The wick takes the liquidity; the close shows the breakout
failed. Liquidity sitting above swing highs is buy-side liquidity (BSL); liquidity sitting below
swing lows is sell-side liquidity (SSL).
A bearish liquidity sweep occurs when buy-side liquidity above a swing high is swept and price
closes back below it. A bullish liquidity sweep occurs when sell-side liquidity below a swing low
is swept and price closes back above it.
HOW THE INDICATOR WORKS
- It detects confirmed swing highs and swing lows using a configurable pivot strength, and draws a
liquidity level at each one. Buy-side levels sit above price; sell-side levels sit below.
- Each level extends to the right until it is interacted with.
- When a candle wicks through a level but closes back inside, the indicator marks a liquidity
sweep with a label and an optional highlight on the sweeping wick.
- An optional volume filter confirms only sweeps where the sweeping candle trades above its
average volume, filtering out low-conviction wicks.
- If price instead closes fully through a level, that is treated as a clean break (a plain
liquidity grab / breakout), not a sweep, and the level is retired without a signal.
WHAT IT SHOWS
- Mapped buy-side (BSL) and sell-side (SSL) liquidity levels.
- Bullish and bearish liquidity sweep markers, the moment a level is swept and rejected.
- Optional wick highlighting on the sweep candle.
- A dashboard showing bullish/bearish sweep counts, the last sweep direction, and the nearest
un-swept buy-side and sell-side levels with their percentage distance from price.
HOW TO USE IT
Liquidity sweeps are most useful as a timing and context tool, not a standalone buy/sell system.
A common workflow:
- Mark the obvious highs and lows where liquidity is likely resting.
- Wait for a sweep into one of those pools (a wick through, close back inside), ideally with the
volume filter confirming participation.
- Look for confirmation in your own process — a market-structure shift, an order block, a
fair-value-gap fill, or higher-timeframe trend alignment — before acting.
- A bearish sweep above resistance can precede a move down; a bullish sweep below support can
precede a move up. Always define risk beyond the swept extreme.
SETTINGS
- Pivot Strength: how many bars define a swing; higher values keep only major liquidity pools.
- Max Levels per Side: how many recent levels to keep mapped.
- Volume Confirmation: toggle, average length, and multiplier to qualify a sweep.
- Treat Clean Breaks as Grabs: retire levels that are broken through rather than swept.
- Line width, style, and transparency for clear level visibility.
- Full colour controls and a movable dashboard.
ALERTS
Three named alert conditions are included: Bullish Liquidity Sweep, Bearish Liquidity Sweep, and
Any Liquidity Sweep.
DISCLAIMER
For educational purposes only. This is a technical analysis tool, not financial advice, and it does
not predict price. Trading involves risk and you can lose your capital. No indicator is profitable
on its own — always do your own research and use proper risk management. Indicator
Indicator
Range Filter - Enhanced AccuracyThis indicator is a comprehensive trend-following and momentum tool designed to identify market breakouts while filtering out noise. Below is a guide on how to interpret and trade with the Range Filter - Enhanced Accuracy.
1. The Core Components
The Filter Line (The Midline): This is the heart of the indicator.
Green: Indicates a bullish (upward) trend.
Red: Indicates a bearish (downward) trend.
Range Bands (High/Low): These act as dynamic support and resistance. Price breaking out of these bands typically indicates a shift in momentum.
Trend EMA (Default 200): Displayed as a blue line. It represents the "Primary Trend."
Buy/Sell Labels: These appear when a high-probability breakout occurs that meets all accuracy filters.
2. How to Read the Signals
The signals in this version are filtered for quality. A signal only appears if:
Price breaks the Filter Line in a new direction.
Trend Alignment: Price is above the 200 EMA for a Buy signal, or below it for a Sell signal.
Volatility Confirmation: The market has enough "movement" (ATR) to sustain a trend.
Buy Signal (BUY Label)
Entry: Enter when the green "BUY" label appears below the bar.
Market Context: The Filter line turns green, and price is comfortably above the blue 200 EMA.
Sell Signal (SELL Label)
Entry: Enter when the red "SELL" label appears above the bar.
Market Context: The Filter line turns red, and price is comfortably below the blue 200 EMA.
3. Suggested Trading Strategy
Stop Loss:
For Longs, place your stop loss just below the Low Band (red band) or the Filter Line.
For Shorts, place your stop loss just above the High Band (green band) or the Filter Line.
Take Profit:
A common strategy is to exit when the Filter Line changes color (e.g., exit a Long trade when the line turns from green to red).
Alternatively, use a fixed Risk/Reward ratio (like 1:2).
4. Adjusting the Settings (Optimization)
You can tailor the indicator to different assets (Crypto, Forex, Stocks) and timeframes:
Swing Period & Multiplier:
For Scalping (1m-5m): Use a lower period (e.g., 10-15) and a lower multiplier (e.g., 2.5-3.0) for more frequent signals.
For Swing Trading (1H-Daily): Use higher values (e.g., Period 20+, Multiplier 3.5+) to catch major trends.
Use Trend Filter: If you are in a sideways/ranging market, turn this OFF to catch short-term rotations. If you are in a trending market, keep it ON to avoid "trap" signals.
Use Volatility Filter: Keep this ON to avoid trading during low-volume sessions (like the Asian session for Forex) where price often moves without direction.
5. Pro Tips
The "EMA River": Treat the area between the price and the 200 EMA as a neutral zone. The best signals often happen right after the price pulls back toward the EMA and then bounces away.
Confluence: This indicator works best when combined with standard Support/Resistance levels or Volume indicators to confirm that the "BUY/SELL" signal is happening at a key structural level. Indicator
Gold Breakout Trader⚙️ Gold short-term entries off M1 timeframe every 2 hours every day with SL/TP targets.
📦 2-Hour Breakout Structure: The indicator plots a new set of dynamic zones every two hours, providing a fresh breakout structure based on the most recent price action. This is the default setting and is designed for intraday trading.
🎯 Precision Entry & Exit Levels: A central gray box is plotted, with Buy Stop and Sell Stop lines automatically placed 2 USD away from its borders. This buffer creates a neutral zone and helps filter out noise.
💰 Pre-Defined Profit Targets: Three Take Profit TP zones are plotted for both long and short trades TP1, TP2, TP3. These zones are spaced apart, providing clear targets for managing trades.
⚙️ Fully Customizable Spacing: Every element is adjustable. You can change the buffer between the gray box and stop lines, the gap between the stop lines and the first TP zone, and the gaps between each subsequent TP zone.
🔔 M1 Breakout Alerts: The indicator includes a powerful alerts module that triggers when an M1 candle closes above the Buy Stop level or below the Sell Stop level. This provides real-time notifications for potential trade entries.
🎨 Clean Visuals & Clear Labels: The zones are color-coded teal for buy-side, red/purple for sell-side for instant recognition. The Buy Stop and Sell Stop labels are also colored to match their respective directions, ensuring zero confusion.
⚙️ Trading Strategy & Logic
This strategy is designed for precision and requires patience. The core idea is to wait for the market to confirm a breakout of the established 2-hour range before entering a trade.
📌 Entry Logic
1. 🕒 Wait for a New Zone: Allow the indicator to plot a new 2-hour structure. Do not trade old or expired zones.
2. 🔔 Set Your Alerts: In PulseWire, create a new alert and select the indicator. For the condition, choose "Any alert() function call" and set it to trigger "Once Per Bar Close". This will notify you the moment a candle closes across a stop level.
3. 👀 Wait for the M1 Close: For a Long Buy Trade, wait for an M1 candle to close above the Buy Stop line. For a Short Sell Trade, wait for an M1 candle to close below the Sell Stop line.
4. ✅ Enter on Confirmation: Once you receive the alert and visually confirm the M1 candle has closed past the level, you can enter the trade.
🛑 Stop Loss SL Placement
The stop loss is designed to be tight and objective, providing a clear invalidation of the trade idea.
⬇️ For a Long Trade, the Stop Loss should be placed at the Sell Stop line the level on the opposite side of the gray box.
⬆️ For a Short Trade, the Stop Loss should be placed at the Buy Stop line.
🎯 Take Profit TP Strategy
The indicator provides three clear targets. How you use them depends on your trade management style.
🥇 TP1: The first level of resistance/support. This is an ideal target for taking partial profits and moving your stop loss to breakeven.
🥈 TP2 & TP3: Subsequent targets for scaling out of the position or for your final profit target.
⚠️ IMPORTANT NOTICE
This indicator and the accompanying strategy are provided for educational purposes only. Trading financial markets involves substantial risk, and past performance is not indicative of future results. The logic described is based on a specific set of rules and does not guarantee profit. Always conduct your own analysis and risk management before entering any trade. The creators are not responsible for any financial losses incurred.
Indicator
Strategy
Institutional Zone Detector [Scalping-Algo]█ OVERVIEW
The Institutional Zone Detector identifies key supply and demand zones where large market participants (institutions, banks, hedge funds) have likely placed significant orders. These zones often act as powerful support and resistance levels, making them strategic areas for trade entries and exits.
This indicator is non-repainting, meaning once a signal appears on your chart, it will never disappear or change position. What you see in backtesting is exactly what you would have seen in real-time.
█ CORE CONCEPT
Markets move when large players execute substantial orders. These orders leave footprints in the form of specific candlestick patterns:
Demand Zones (Bullish)
When institutions accumulate positions, we often see a bearish candle followed by a strong bullish sequence. The last bearish candle before this move marks the demand zone - an area where buying pressure overwhelmed sellers.
Supply Zones (Bearish)
When institutions distribute positions, we typically see a bullish candle followed by a strong bearish sequence. The last bullish candle before this move marks the supply zone - an area where selling pressure overwhelmed buyers.
Price has a tendency to revisit these zones, offering potential trade opportunities.
█ HOW IT WORKS
The indicator scans for:
1. A potential zone candle (bearish for demand, bullish for supply)
2. A sequence of consecutive candles in the opposite direction
3. Optional: A minimum percentage move to filter weak signals
When all conditions are met, the zone is marked on your chart with:
• Upper and lower boundaries (solid lines)
• Equilibrium/midpoint level (cross marker)
• Extended channel lines for easy visualization
█ SETTINGS
Consecutive Candles Required (Default: 5)
Number of same-direction candles needed after the zone candle to confirm the pattern. Higher values = fewer but stronger signals.
Minimum Move Threshold % (Default: 0.0)
Minimum percentage price movement required to validate a zone. Increase this to filter out weak moves and focus on significant institutional activity.
Display Full Candle Range (Default: Off)
• Off: Shows Open-to-Low for demand zones, Open-to-High for supply zones
• On: Shows complete High-to-Low range of the zone candle
Show Demand/Supply Zone Channel (Default: On)
Toggle extended horizontal lines that project the zone levels across your chart.
Visual Theme (Default: Dark)
Choose between Dark (white/blue) or Light (green/red) color schemes.
Show Statistics Panel (Default: Off)
Displays a floating panel with exact price levels of the most recent zones.
Display Info Tooltip (Default: Off)
Shows an information label with indicator documentation.
█ HOW TO USE
Entry Strategies
1. Zone Bounce (Mean Reversion)
• Wait for price to return to a previously identified zone
• Look for rejection candles (pin bars, engulfing patterns) at zone levels
• Enter in the direction of the original zone (long at demand, short at supply)
• Place stops beyond the zone boundary
2. Zone Break (Momentum)
• When price breaks through a zone with strong momentum
• The broken zone often becomes the opposite type (broken demand becomes supply)
• Use for trend continuation trades
3. Equilibrium Trades
• The midpoint (cross marker) often acts as a magnet for price
• Can be used as a first target or as an entry point for scaled positions
Risk Management
• Always place stop-loss orders beyond zone boundaries
• Consider the zone width when calculating position size
• Wider zones = wider stops = smaller position size
• Use the equilibrium level for partial profit taking
Best Practices
• Higher timeframes produce more reliable zones
• Zones on multiple timeframes (confluence) are stronger
• Fresh/untested zones are more powerful than zones that have been touched multiple times
• Combine with other analysis methods (trend direction, volume, market structure)
█ ALERTS
Two alert conditions are available:
• "Demand Zone Identified" - Triggers when a new demand zone is detected
• "Supply Zone Identified" - Triggers when a new supply zone is detected
To set up alerts: Click on the indicator name → Add Alert → Select condition
█ IMPORTANT NOTES
• This indicator is a tool for analysis, not a complete trading system
• Signals are NOT automatic buy/sell recommendations
• Always use proper risk management
• Past performance does not guarantee future results
• Works on all markets and timeframes
• Non-repainting: Signals appear only after bar close confirmation
█ ACKNOWLEDGMENTS
Inspired by institutional order flow concepts and smart money trading methodologies. Built with a focus on reliability and practical application. Indicator
Indicator
LTF Distribution Analyzer█ OVERVIEW
LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation.
Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis.
█ CONCEPTS
The indicator is built on two core concepts:
1 — Statistical Price Distribution
Each candle contains many lower timeframe bars. By analyzing these bars, we calculate:
• Q1 (25th percentile) - 25% of prices traded below this level
• Q3 (75th percentile) - 75% of prices traded below this level
• Median - The middle price value
• IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices
2 — Volume Delta Analysis
Delta measures buying vs selling pressure:
• Delta = Buy Volume − Sell Volume
• Positive delta = More aggressive buying
• Negative delta = More aggressive selling
• Delta Ratio normalizes this as a percentage
█ HOW IT WORKS
The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary:
Step 1: Timeframe Calculation
• Auto mode: Chart timeframe ÷ Auto Divisor = LTF
• Example: 1H chart ÷ 1000 = ~3.6 second sampling
• Manual mode: User-specified timeframe
Step 2: Data Collection
• Collects all close prices from LTF bars within current candle
• Aggregates volume by candle direction (bullish/bearish)
Step 3: Statistical Analysis
• Calculates quartiles (Q1, Q3), median, and boundaries
• Identifies outliers using 1.5× and 3× IQR fences
• Finds Volume POC (price with highest volume)
Step 4: Delta Calculation
• Sums buy volume (from bullish LTF bars)
• Sums sell volume (from bearish LTF bars)
• Computes delta ratio for color determination
█ VISUAL ELEMENTS
┌─────────────────────────────────────────┐
│ ▲ Extreme outlier (3× IQR) │
│ △ Mild outlier (1.5× IQR) │
│ ─ Upper whisker cap │
│ ┊ Whisker line (dashed) │
│ ▄ IQR Box (Q1 to Q3 range) │
│ ━ Volume POC (highest volume) │
│ ● Median (green=bull, red=bear) │
│ ┊ Whisker line (dashed) │
│ ─ Lower whisker cap │
│ ▽ Mild outlier │
│ ▼ Extreme outlier │
└─────────────────────────────────────────┘
█ COLOR SYSTEM
Colors indicate the relationship between candle direction and order flow:
🟢 TEAL (Positive Flow)
Bullish candle + Positive delta
→ Strong buying confirmation
→ Trend continuation signal
🔴 RED (Negative Flow)
Bearish candle + Negative delta
→ Strong selling confirmation
→ Trend continuation signal
🟠 ORANGE (Mixed Signal A)
Bullish candle + Negative delta
→ Price up but sellers dominated
→ Potential weakness/reversal warning
🔵 BLUE (Mixed Signal B)
Bearish candle + Positive delta
→ Price down but buyers dominated
→ Potential accumulation/reversal signal
█ SETTINGS
Timeframe Settings
• LTF Mode — Auto or Manual selection
• Manual Timeframe — Specific LTF when in Manual mode
• Auto Divisor — Higher = finer granularity (default: 1000)
• Allow Sub-Minute — Requires Premium subscription
Visual Style
• Positive/Negative Flow colors — Customize the 4 flow colors
• Box Transparency — Opacity of the quartile box (0-100%)
Statistics Display
• Show Statistics Panel — Toggle on-chart stats table
• Show Timeframe Badge — Toggle LTF indicator badge
• Panel Position — Choose corner placement
• Panel Size — Text size selection
█ HOW TO USE
1. Divergence Detection
Look for color mismatches:
• Orange bars in uptrend = weakness, potential reversal
• Blue bars in downtrend = strength, potential reversal
• Multiple consecutive divergent bars strengthen signal
• Wait for confirmation before entry
2. Volume POC Trading
• POC marks where most volume traded
• POC clusters at similar levels = strong S/R zone
• Price often returns to POC before continuing
• Use POC for entry/exit targeting
3. Trend Confirmation
• Consecutive teal = strong uptrend
• Consecutive red = strong downtrend
• Median position shows intrabar momentum
• Wide boxes indicate high volatility
4. Outlier Analysis
• Extreme markers (▲▼) often mark stop hunts
• Consider fading extremes at key levels
• Mild markers (△▽) = areas to watch
█ RECOMMENDED SETTINGS
For different chart timeframes:
│ Chart TF │ Auto Divisor │ Resulting LTF │
├──────────┼──────────────┼───────────────┤
│ 15M │ 1500 │ ~1M │
│ 1H │ 1000 │ ~3-4s │
│ 4H │ 600 │ ~24s │
│ Daily │ 500 │ ~2-3M │
Tip: Check the TF badge to confirm active sampling timeframe.
█ BEST PRACTICES
Do:
✓ Use "Bars" chart style for cleanest display
✓ Combine with support/resistance analysis
✓ Wait for confirmation bars
✓ Note POC clusters across multiple bars
✓ Adjust divisor based on your timeframe
Avoid:
✗ Trading single bar signals alone
✗ Using during low volume periods
✗ Trading immediately after news releases
✗ Ignoring overall market context
█ LIMITATIONS
• Requires adequate market liquidity for reliable signals
• Sub-minute timeframes need Premium subscription
• Historical data depth depends on PulseWire's data availability
• Delta calculation assumes volume direction matches candle direction
█ NOTES
This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful.
The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator.
For questions or suggestions, leave a comment below. Indicator
Dynamic Support Resistance Zones======================================================================
TRADINGVIEW PUBLICATION - DYNAMIC SUPPORT RESISTANCE ZONES
======================================================================
TITLE: Dynamic Support Resistance Zones
SHORT TITLE: SR Zones
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DESCRIPTION (Copy below for PulseWire publication)
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The Dynamic Support Resistance Zones indicator identifies key price levels where potential reversals may occur by analyzing candlestick behavior and volume dynamics together.
▶ CONCEPT AND METHODOLOGY
This indicator detects support and resistance levels through a specific combination of three market conditions occurring simultaneously:
1. Candlestick Body Expansion: The current candle's body (distance between open and close) must be larger than the previous candle's body. This signals increased price commitment from market participants.
2. Direction Reversal: The current candle must close in the opposite direction of the previous candle. A bullish candle following a bearish candle suggests potential support formation, while a bearish candle following a bullish candle suggests potential resistance formation.
3. Volume Contraction: The current candle must have lower volume than the previous candle. This condition filters out high-volume breakout moves and focuses on exhaustion patterns where price reverses on decreasing participation.
When all three conditions align, the indicator marks the opening price of the previous candle as a significant level.
▶ HOW LEVELS ARE CLASSIFIED
Support Zones (Green Lines): Form when a bullish reversal candle appears with an expanded body on declining volume. These represent areas where buying pressure overcame selling pressure.
Resistance Zones (Red Lines): Form when a bearish reversal candle appears with an expanded body on declining volume. These represent areas where selling pressure overcame buying pressure.
▶ DYNAMIC LEVEL MANAGEMENT
The indicator continuously monitors each level and updates its status:
- Active Levels (Solid Lines): Levels that have not been broken by a closing price. These extend forward automatically as new bars form.
- Broken Levels (Dashed Lines): When price closes beyond a level, it converts to a dashed line. These broken levels remain visible for potential retest scenarios.
- Level Removal: Broken support levels are removed if price closes back above them. Broken resistance levels are removed if price closes back below them. This keeps the chart clean and focused on relevant levels.
▶ TRADING APPLICATIONS
Reversal Trading: Look for price approaching active support or resistance levels for potential bounce trades.
Breakout Confirmation: When a solid level converts to dashed, it confirms a breakout. The dashed level then becomes a potential retest zone.
Trend Analysis: Multiple support levels stacking below price suggests bullish structure. Multiple resistance levels above price suggests bearish structure.
Risk Management: Active levels provide logical areas for stop-loss placement just beyond the identified zones.
▶ WHY THIS COMBINATION WORKS
The three-filter approach (body expansion + direction change + volume decline) identifies exhaustion reversals rather than continuation patterns. Large body candles show conviction, direction change shows momentum shift, and lower volume suggests the prior move is losing steam rather than breaking out with strength.
▶ SETTINGS
This indicator uses fixed detection logic with no adjustable parameters to maintain consistency. The colors are preset: green for support zones and red for resistance zones.
▶ BEST PRACTICES
- Works on all timeframes but higher timeframes typically produce more reliable levels
- Combine with trend analysis for directional bias
- Not all levels will hold; use proper risk management
- More effective in ranging or mean-reverting conditions than strong trending markets
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TAGS (for PulseWire)
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support, resistance, reversal, volume, candlestick, levels, zones, price-action
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CATEGORY
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Support and Resistance
====================================================================== Indicator
Triple EMA + Key Levels [Scalping-Algo]TITLE: Triple EMA Day Trading System with Multi-Timeframe Support/Resistance Levels
DESCRIPTION:
📊 Overview
This indicator combines trend-following EMAs with key historical price levels to create a complete day trading toolkit. It helps traders identify trend direction while highlighting important support and resistance zones from multiple timeframes.
🎯 Purpose & Trading Application
Day traders often need to quickly assess:
1. Current trend direction (using EMAs)
2. Key price levels where reversals or breakouts may occur
This indicator solves both needs in one tool, reducing chart clutter from multiple indicators.
📈 How It Works
TREND IDENTIFICATION (EMAs):
- EMA 13 (Yellow): Fast EMA for short-term momentum and entry timing
- EMA 48 (Purple): Medium EMA for intraday trend direction
- EMA 200 (Red): Slow EMA for overall trend bias
Trading Logic:
- When price is above all 3 EMAs = Strong bullish bias
- When price is below all 3 EMAs = Strong bearish bias
- EMA crossovers signal potential trend changes
- The 13/48 crossover is particularly useful for intraday entries
SUPPORT & RESISTANCE LEVELS:
- Previous Day High/Low (Green, Solid): Most recent daily range - high probability reaction zones
- 2-Day High/Low (Blue, Dashed): Extended lookback for stronger levels
- Previous Week High/Low (Orange, Dotted): Major institutional levels
Why These Levels Matter:
Previous day and weekly highs/lows are watched by many traders and algorithms. Price often:
- Reverses at these levels (support/resistance)
- Accelerates through them (breakout trades)
🔧 How To Use
FOR TREND TRADING:
1. Identify bias using EMA stack (all 3 aligned = strong trend)
2. Look for pullbacks to EMA 13 or 48 for entries
3. Use key levels as profit targets
FOR REVERSAL TRADING:
1. Watch for price approaching previous day/week levels
2. Look for rejection candles at these levels
3. Use EMA 13 break as confirmation
FOR BREAKOUT TRADING:
1. Identify consolidation near key levels
2. Enter on break of level with volume
3. Use opposite level as target
⚙️ Settings
All parameters are fixed for simplicity:
- EMAs: 13, 48, 200 periods
- Levels: Previous Day, 2-Day, Previous Week
- All lines thickness: 2
📝 Notes
- Best used on intraday timeframes (1min to 1hour)
- Levels update automatically each day/week
- Labels on right side identify each level (PDH, PDL, 2DH, 2DL, PWH, PWL)
---
TAGS: ema, daytrading, support, resistance, levels, intraday, trend, scalping, swingtrading Indicator
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, PulseWire alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your PulseWire chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires PulseWire Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange pulsewire-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy Indicator
Indicator
Indicator
Strategy
Flow Optimized Moving AverageOverview
The Flow Optimized Moving Average (Flow OMA) is an advanced adaptive moving average designed to dynamically adjust smoothing factors based on market efficiency and volatility. By integrating the Efficiency Ratio (ER) with an Adaptive Moving Average (AMA) and leveraging ATR-based bands, this indicator provides traders with a refined tool for identifying trend direction, strength, and potential reversal zones.
Key Features
Adaptive Moving Average (AMA)
Adjusts to price action based on the Efficiency Ratio (ER), reducing lag in trending markets while smoothing noise in ranging conditions.
Efficiency Ratio (ER)
Measures the effectiveness of price movement over a defined lookback period.
Helps in dynamically adjusting the smoothing constant of the AMA.
ATR-Based Volatility Bands
Creates upper and lower dynamic bands based on the Average True Range (ATR).
Expands in high volatility and contracts in low volatility, providing traders with a contextual understanding of price action.
Slope-Based Trend Strength
Normalizes the moving average slope relative to ATR.
Generates a trend strength score, which influences band opacity, making strong trends visually distinguishable.
Dynamic Color Coding
Bullish Trends: Cyan/Turquoise (#00e2ff)
Bearish Trends: Blue (#003ff5)
Neutral Trends: Gray
The transparency of the bands dynamically adjusts based on trend strength.
Fill Zone Effect
The area between the ATR bands is filled with a gradient-like effect, giving a clear visual representation of trend strength and transitions.
Indicator Components
Inputs (User Settings)
ER Lookback Period: Defines how many bars are used in the Efficiency Ratio calculation (default: 10).
Fast & Slow Periods: Control the sensitivity of the Adaptive Moving Average (default: 2 & 30).
ATR Period: Defines the lookback for Average True Range (default: 14).
Band Multiplier: Determines the width of ATR-based bands (default: 1.5).
Slope Average Period: Smooths trend slope for more stable trend assessment (default: 5).
Efficiency Ratio Calculation
Measures how effectively price moves in a straight line compared to its total movement.
A higher ER value suggests strong trend momentum, while a lower value implies consolidation.
Adaptive Moving Average (AMA)
Dynamically adjusts its smoothing factor based on ER.
Uses a smoothing constant that ranges between the fastest and slowest specified values.
Volatility-Based Bands
Constructed using the ATR multiplier.
Expand and contract dynamically in response to market volatility.
Trend Strength & Direction
Computed using the normalized slope of AMA against ATR.
Positive slope = Bullish trend, Negative slope = Bearish trend.
Visual Enhancements
Colored Adaptive MA Line: Changes based on trend direction.
ATR Bands with Gradient Fill: Visual representation of market conditions.
Dynamic Opacity: Highlights trend strength through transparency.
How to Use the Flow OMA Indicator
Trend Identification
When the Adaptive MA is rising and colored cyan, a bullish trend is in play.
When the Adaptive MA is falling and colored blue, a bearish trend is present.
Trend Strength Assessment
A stronger trend results in more opaque band fills, indicating a clear directional bias.
Weaker trends or consolidations result in fainter fills, signaling a loss of momentum.
Reversal Signals
If price touches the upper band in a bullish move and starts reversing, it can indicate potential profit-taking areas.
If price approaches the lower band in a bearish move and rebounds, a short-term reversal may be imminent.
Volatility Insights
Narrow bands indicate low volatility and possible breakout conditions.
Wider bands suggest increased volatility, warning traders of potential price swings.
Best Practices
✅ Combine with Other Indicators
Use RSI, MACD, or Volume Profile for confirmation before executing trades.
✅ Apply to Multiple Timeframes
Works effectively in higher timeframes (1H, 4H, Daily) for trend trading.
Can be utilized in lower timeframes (5m, 15m) for scalping setups.
✅ Adjust Parameters Based on Asset Volatility
Increase ATR Period for stocks with high volatility.
Reduce ATR Multiplier for forex pairs to avoid excessive band width.
The Flow Optimized Moving Average (Flow OMA) is a powerful trend-following tool designed for both swing and intraday traders. Its adaptive nature allows it to efficiently track trends while minimizing false signals. By incorporating dynamic volatility bands and trend-sensitive color coding, this indicator enhances traders' ability to read price action effectively. Whether used standalone or in combination with other indicators, Flow OMA provides a significant edge in trend analysis.
Indicator
Volume Flow Indicator Signals | iSolani
Volume Flow Indicator Signals | iSolani: Decoding Trend Momentum with Volume Precision
In markets where trends are fueled by institutional participation, discerning genuine momentum from false moves is critical. The Volume Flow Indicator Signals | iSolani cuts through this noise by synthesizing price action with volume dynamics, generating high-confidence signals when capital flows align with directional bias. This tool reimagines traditional volume analysis by incorporating volatility-adjusted thresholds and dual-layer smoothing, offering traders a laser-focused approach to trend identification.
Core Methodology
The indicator employs a multi-stage calculation to quantify volume-driven momentum:
Volatility-Adjusted Filter: Measures price changes via log returns, scaling significance using a 30-bar standard deviation multiplied by user-defined sensitivity (default: 2x).
Volume Normalization: Caps extreme volume spikes at 3x the 50-bar moving average, preventing distortion from anomalous trades.
Directional Volume Flow: Assigns positive/negative values to volume based on whether price movement exceeds volatility-derived thresholds.
Dual Smoothing: Applies consecutive SMA (3-bar) and EMA (14-bar) to create the Volume Flow Indicator (VFI) and its signal line, filtering out transient fluctuations.
Breaking New Ground
This implementation introduces three key innovations:
Adaptive Noise Gates: Unlike static volume oscillators, the sensitivity coefficient dynamically adjusts to market volatility, reducing false signals during choppy conditions.
Institutional Volume Capping: The vcoef parameter limits the influence of outlier volume spikes, focusing on sustained institutional activity rather than one-off trades.
Non-Repainting Signals: Generates single-per-trend labels (buy below bars, sell above) to avoid chart clutter while maintaining visual clarity.
Engine Under the Hood
The script executes through five systematic stages:
Data Preparation: Computes HLC3 typical price and its logarithmic rate of change.
Threshold Calculation: Derives dynamic cutoff levels using 30-period volatility scaled by user sensitivity.
Volume Processing: Filters raw volume through a 50-bar SMA, capping extremes at 3x average.
VFI Construction: Sums directional volume flow over 50 bars, smoothed with a 3-bar SMA.
Signal Generation: Triggers alerts when VFI crosses zero, confirmed by a 14-bar EMA crossover.
Standard Configuration
Optimized defaults balance responsiveness and reliability:
Volume MA: 50-bar smoothing window
Sensitivity: 2.0 (doubles volatility threshold)
Signal Smoothing: 14-bar EMA
Volume Cap: 3x average (hidden parameter)
VFI Smoothing: Enabled (3-bar SMA)
By fusing adaptive volume filtering with price confirmation logic, the Volume Flow Indicator Signals | iSolani transforms raw market data into institutional-grade trend signals. Its ability to mute choppy price action while amplifying high-conviction volume moves makes it particularly effective for spotting early trend reversals in equities, forex, and futures markets. Indicator
Indicator
ICT Kill Zones [dR-Algo]ICT Kill Zones Indicator by dR-Algo
Introducing the dR-Algo's ICT Kill Zones Indicator – a tool meticulously crafted to blend with the elegance of the ICT Concept of Kill Zones. Built for traders who seek clarity and focus, this unique indicator is tailored to highlight the essential time frames while ensuring minimal distraction from the core price action.
Key Features:
Three Kill Zones:
London Kill Zone: Kickstart your trading day with the London Kill Zone, highlighting the critical period between 03:00 to 04:00 (UTC-4). The London session, known for its volatility due to the overlapping of the Asian session, is captured precisely for your benefit.
NY AM Session: As the European markets gear towards close and the US markets come alive, our indicator emphasizes the activity from 10:00 to 11:00 (UTC-4). It’s a window where significant market moves often originate.
NY PM Session: Capture the late-day trading action between 14:00 to 15:00 (UTC-4). As markets prepare to close, this time frame can offer last-minute opportunities.
Subtle Yet Effective Visualization: Unlike many other indicators that bombard traders with an array of colors, our ICT Kill Zones Indicator is intentionally designed to be subtle. It provides just the right amount of visual emphasis without overwhelming the chart. The primary goal is to let traders focus on what truly matters: the price action.
User-Friendly Customization: The indicator's settings can be easily tailored to align with individual trading styles, allowing traders to adjust and tweak as per their preference.
Seamless Integration with Trading View: Smoothly integrates with your PulseWire charts ensuring optimal performance and real-time responsiveness.
Why Choose Our ICT Kill Zones Indicator?
The market is flooded with indicators, each promising to be the 'next big thing.' What sets dR-Algo's ICT Kill Zones Indicator apart is its dedication to simplicity and effectiveness. It's not just about adding an indicator to your chart; it's about adding value to your trading experience. By seamlessly merging vital time frames without overshadowing the price action, we ensure traders get the best of both worlds.
Join the trading revolution with dR-Algo and embrace a focused approach to the markets.
Indicator
Strategy
Indicator
Bjorgum Double Tap█ OVERVIEW
Double Tap is a pattern recognition script aimed at detecting Double Tops and Double Bottoms. Double Tap can be applied to the broker emulator to observe historical results, run as a trading bot for live trade alerts in real time with entry signals, take profit, and stop orders, or to simply detect patterns.
█ CONCEPTS
How Is A Pattern Defined?
Doubles are technical formations that are both reversal patterns and breakout patterns. These formations typically have a distinctive “M” or a “W” shape with price action breaking beyond the neckline formed by the center of the pattern. They can be recognized when a pivot fails to break when tested for a second time and the retracement that follows breaks beyond the key level opposite. This can trap entrants that were playing in the direction of the prior trend. Entries are made on the breakout with a target projected beyond the neckline equal to the height of the pattern.
Pattern Recognition
Patterns are recognized through the use of zig-zag; a method of filtering price action by connecting swing highs and lows in an alternating fashion to establish trend, support and resistance, or derive shapes from price action. The script looks for the highest or lowest point in a given number of bars and updates a list with the values as they form. If the levels are exceeded, the values are updated. If the direction changes and a new significant point is made, a new point is added to the list and the process starts again. Meanwhile, we scan the list of values looking for the distinctive shape to form as previously described.
█ STRATEGY RESULTS
Back Testing
Historical back testing is the most common method to test a strategy due in part to the general ease of gathering quick results. The underlying theory is that any strategy that worked well in the past is likely to work well in the future, and conversely, any strategy that performed poorly in the past is likely to perform poorly in the future. It is easy to poke holes in this theory, however, as for one to accept it as gospel, one would have to assume that future results will match what has come to pass. The randomness of markets may see to it otherwise, so it is important to scrutinize results. Some commonly used methods are to compare to other markets or benchmarks, perform statistical analysis on the results over many iterations and on differing datasets, walk-forward testing, out-of-sample analysis, or a variety of other techniques. There are many ways to interpret the results, so it is important to do research and gain knowledge in the field prior to taking meaningful conclusions from them.
👉 In short, it would be naive to place trust in one good backtest and expect positive results to continue. For this reason, results have been omitted from this publication.
Repainting
Repainting is simply the difference in behaviour of a strategy in real time vs the results calculated on the historical dataset. The strategy, by default, will wait for confirmed signals and is thus designed to not repaint. Waiting for bar close for entires aligns results in the real time data feed to those calculated on historical bars, which contain far less data. By doing this we align the behaviour of the strategy on the 2 data types, which brings significance to the calculated results. To override this behaviour and introduce repainting one can select "Recalculate on every tick" from the properties tab. It is important to note that by doing this alerts may not align with results seen in the strategy tester when the chart is reloaded, and thus to do so is to forgo backtesting and restricts a strategy to forward testing only.
👉 It is possible to use this script as an indicator as opposed to a full strategy by disabling "Use Strategy" in the "Inputs" tab. Basic alerts for detection will be sent when patterns are detected as opposed to complex order syntax. For alerts mid-bar enable "Recalculate on every tick" , and for confirmed signals ensure it is disabled.
█ EXIT ORDERS
Limit and Stop Orders
By default, the strategy will place a stop loss at the invalidation point of the pattern. This point is beyond the pattern high in the case of Double Tops, or beneath the pattern low in the case of Double Bottoms. The target or take profit point is an equal-legs measurement, or 100% of the pattern height in the direction of the pattern bias. Both the stop and the limit level can be adjusted from the user menu as a percentage of the pattern height.
Trailing Stops
Optional from the menu is the implementation of an ATR based trailing stop. The trailing stop is designed to begin when the target projection is reached. From there, the script looks back a user-defined number of bars for the highest or lowest point +/- the ATR value. For tighter stops the user can look back a lesser number of bars, or decrease the ATR multiple. When using either Alertatron or Trading Connector, each change in the trail value will trigger an alert to update the stop order on the exchange to reflect the new trail price. This reduces latency and slippage that can occur when relying on alerts only as real exchange orders fill faster and remain in place in the event of a disruption in communication between your strategy and the exchange, which ensures a higher level of safety.
👉 It is important to note that in the case the trailing stop is enabled, limit orders are excluded from the exit criteria. Rather, the point in time that the limit value is exceeded is the point that the trail begins. As such, this method will exit by stop loss only.
█ ALERTS
Five Built-in 3rd Party Destinations
The following are five options for delivering alerts from Double Tap to live trade execution via third party API solutions or chat bots to share your trades on social media. These destinations can be selected from the input menu and alert syntax will automatically configure in alerts appropriately to manage trades.
Custom JSON
JSON, or JavaScript Object Notation, is a readable format for structuring data. It is used primarily to transmit data between a server and a web application. In regards to this script, this may be a custom intermediary web application designed to catch alerts and interface with an exchange API. The JSON message is a trade map for an application to read equipped with where its been, where its going, targets, stops, quantity; a full diagnostic of the current state and its previous state. A web application could be configured to follow the messages sent in this format and conduct trades in sync with alerts running on the TV server.
Below is an example of a rendered JSON alert:
{
"passphrase": "1234",
"time": "2022-05-01T17:50:05Z",
"ticker": "ETHUSDTPERP",
"plot": {
"stop_price": 2600.15,
"limit_price": 3100.45
},
"strategy": {
"position_size": 0.1,
"order_action": "buy",
"market_position": "long",
"market_position_size": 0,
"prev_market_position": "flat",
"prev_market_position_size": 0
}
}
Trading Connector
Trading Connector is a third party fully autonomous Chrome extension designed to catch alert webhooks from PulseWire and interface with MT4/MT5 to execute live trades from your machine. Alerts to Trading Connector are simple; just select the destination from the input drop down menu, set your ticker in the "TC Ticker" box in the "Alert Strings" section and enter your URL in the alert window when configuring your alert.
Alertatron
Alertatron is an automated algo platform for cryptocurrency trading that is designed to automate your trading strategies. Although the platform is currently restricted to crypto, it offers a versatile interface with high flexibility syntax for complex market orders and conditions. To direct alerts to Alertatron, select the platform from the 3rd party drop down, configure your API key in the ”Alertatron Key” box and add your URL in the alert message box when making alerts.
3 Commas
3 Commas is an easy and quick to use click-and-go third party crypto API solution. Alerts are simple without overly complex syntax. Messages are simply pasted into alerts and executed as alerts are triggered. There are 4 boxes at the bottom of the "Inputs" tab where the appropriate messages to be placed. These messages can be copied from 3 Commas after the bots are set up and pasted directly into the settings menu. Remember to select 3 Commas as a destination from the third party drop down and place the appropriate URL in the alert message window.
Discord
Some may wish to share their trades with their friends in a Discord chat via webhook chat bot. Messages are configured to notify of the pattern type with targets and stop values. A bot can be configured through the integration menu in a Discord chat to which you have appropriate access. Select Discord from the 3rd party drop down menu and place your chat bot URL in the alert message window when configuring alerts.
👉 For further information regarding alert setup, refer to the platform specific instructions given by the chosen third party provider.
█ IMPORTANT NOTES
Setting Alerts
For alert messages to be properly delivered on order fills it is necessary to place the following placeholder in the alert message box when creating an alert.
{{strategy.order.alert_message}}
This placeholder will auto-populate the alert message with the appropriate syntax that is designated for the 3rd party selected in the user menu.
Order Sizing and Commissions
The values that are sent in alert messages are populated from live metrics calculated by the strategy. This means that the actual values in the "Properties" tab are used and must be set by the user. The initial capital, order size, commission, etc. are all used in the calculations, so it is important to set these prior to executing live trades. Be sure to set the commission to the values used by the exchange as well.
👉 It is important to understand that the calculations on the account size take place from the beginning of the price history of the strategy. This means that if historical results have inflated or depleted the account size from the beginning of trade history until now, the values sent in alerts will reflect the calculated size based on the inputs in the "Properties" tab. To start fresh, the user must set the date in the "Inputs" tab to the current date as to remove trades from the trade history. Failure to follow this instruction can result in an unexpected order size being sent in the alert.
█ FOR PINECODERS
• With the recent introduction of matrices in Pine, the script utilizes a matrix to track pivot points with the bars they occurred on, while tracking if that pivot has been traded against to prevent duplicate detections after a trade is exited.
• Alert messages are populated with placeholders ; capability that previously was only possible in alertcondition() , but has recently been extended to `strategy.*()` functions for use in the `alert_message` argument. This allows delivery of live trade values to populate in strategy alert messages.
• New arguments have been added to strategy.exit() , which allow differentiated messages to be sent based on whether the exit occurred at the stop or the limit. The new arguments used in this script are `alert_profit` and `alert_loss` to send messages to Discord Strategy
BollingerBands Strat + pending order alerts via TradingConnectorSoftware part of algotrading is simpler than you think. PulseWire is a great place to do this actually. To present it, I'm publishing each of the default strategies you can find in Pinescript editor's "built-in" list with slight modification - I'm only adding 2 lines of code, which will trigger alerts, ready to be forwarded to your broker via TradingConnector and instantly executed there. Alerts added in this script: 14, 17, 20 and 23.
SCRIPT INCLUDES PENDING ORDERS AND ALERTS! Alert will be sent to MetaTrader when order is triggered, but not yet filled. That means if market conditions change and order does not get filled, it needs to be cancelled as well, and there are alerts for that in the script as well.
How it works:
1. PulseWire alert fires.
2. TradingConnector catches it and forwards to MetaTrader4/5 you got from your broker.
3. Trade gets executed inside MetaTrader within 1 second of fired alert.
When configuring alert, make sure to select "alert() function calls only" in CreateAlert popup. One alert per ticker is required.
Adding stop-loss, take-profit, trailing-stop, break-even or executing pending orders is also possible. These topics have been covered in other example posts.
This routing works for Forex, indices, stocks, crypto - anything your broker offers via their MetaTrader4 or 5.
Disclaimer: This concept is presented for educational purposes only. Profitable results of trading this strategy are not guaranteed even if the backtest suggests so. By no means this post can be considered a trading advice. You trade at your own risk.
If you are thinking to execute this particular strategy, make sure to find the instrument, settings and timeframe which you like most. You can do this by your own research only. Strategy
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