Funded Indicator### Detailed Step-by-Step Guide for Using the "Funded Indicator" on TradingView
This comprehensive guide explains how to install, configure, interpret, and use the "Funded Indicator" — an advanced Pine Script v5 tool that combines momentum signals from RSI, MACD, and Stochastic across multiple timeframes, with volume spike confirmation, divergence detection, a real-time dashboard, trend background coloring, and customizable alerts. It is designed for technical traders analyzing forex, cryptocurrencies, stocks, or any other market on TradingView.
**Important Disclaimer**: This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, guarantee profits, or predict future price movements. Trading carries the risk of loss of capital. Always perform your own analysis, apply proper risk management (such as stop-loss orders), and comply with TradingView’s terms of service. No warranties are made — performance varies depending on market conditions, asset, timeframe, and user settings. Backtest thoroughly before using real capital.
The guide assumes you have a TradingView account (free or premium) and basic familiarity with the platform.
#### **Step 1: Installation on TradingView**
- **Open TradingView**:
- Log in to tradingview.com via browser or the mobile/desktop app.
- Load a chart of any symbol (e.g., BTCUSD, EURUSD, AAPL) and choose an initial timeframe (5m or 15m recommended for first tests).
- **Access the Pine Editor**:
- Click the “Pine Editor” tab at the bottom of the chart (or press Alt + Shift + P on PC/Mac).
- If hidden, click the “...” button in the bottom toolbar and select “Pine Editor.”
- **Paste the Script Code**:
- Delete any existing code in the editor.
- Copy and paste the complete Pine Script code of the indicator.
- Click “Save” (or Ctrl + S). Give it a name like “Funded Indicator” or “Momentum Fusion Pro.”
- **Add to the Chart**:
- Click the green “Add to Chart” button in the top-right corner of the editor.
- The indicator should now appear: a Fusion Score line, horizontal levels, buy/sell labels, divergence tags, background coloring (if enabled), and a dashboard table in the top-right corner.
- **Verification**:
- Check the console at the bottom of the editor for any compilation errors. If errors appear, review the error message carefully.
- Refresh the page or switch timeframes/symbols if elements do not display.
- If the dashboard is missing, ensure “Show Dashboard” is enabled in the settings (see Step 2).
#### **Step 2: Configuring the Inputs (Customization)**
- **Open Settings**:
- Locate the indicator name in the left panel (e.g., “Funded Indicator”).
- Double-click it or right-click → “Settings.”
- Go to the “Inputs” tab.
- **Detailed Explanation of Each Input Group**:
- **───── Core & Timeframe ─────**
- **Source**: Price data used for calculations (default: close).
Use “close” for standard behavior; “high” for bullish bias or “low” for bearish bias.
- **Higher TF Multiplier (× current)**: Defines the higher timeframe (default: 4).
Example: 5m chart × 4 = 20m analysis. Increase (5–10) for stronger trend filtering in volatile markets; decrease (2–3) for faster response in low-volatility pairs.
- **───── RSI ─────**
- **Length**: RSI period (default: 14).
Shorten (7–10) for sensitive signals; lengthen (21+) for smoother trends.
- **Overbought / Oversold**: Thresholds (default: 70 / 30).
Raise OB to 80 in strong uptrends; lower OS to 20 in strong downtrends.
- **───── MACD ─────**
- **Fast / Slow / Signal**: Standard MACD periods (12/26/9).
Shorten Fast to 8–10 for quicker signals in crypto; lengthen for smoother forex behavior.
- **───── Stochastic ─────**
- **%K Length / %K Smooth / %D Smooth**: Periods (14/3/3).
Reduce smoothing for rawer signals; increase for noise reduction.
- **Overbought / Oversold**: Thresholds (80/20).
Adjust similarly to RSI levels.
- **───── Volume & Weights ─────**
- **Volume MA Length**: Period for volume average (default: 20).
Increase to 50 for stronger confirmation; decrease to 10 for intraday.
- **Volume Spike × MA**: Spike detection threshold (default: 1.6).
Raise to 2.0+ in low-volume assets; lower to 1.2 in high-liquidity markets.
- **RSI / MACD / Stoch Weight**: Fusion score weights (default: 0.40 / 0.35 / 0.25).
Adjust to emphasize preferred oscillator; keep sum close to 1.0.
- **───── Display & Alerts ─────**
- **Trend Background**: Enables green/red background coloring (default: true).
Disable if the chart feels cluttered.
- **Show Dashboard**: Displays the summary table (default: true).
Highly recommended for quick multi-TF overview.
- **Show Divergence Labels**: Shows bullish/bearish divergence tags (default: true).
Disable in very noisy or ranging markets.
- **Save Changes**:
- Click “OK.” Reload the chart if necessary.
#### **Step 3: Interpreting Visual Elements and Signals**
- **Fusion Score Plot**: Thick line colored green above zero, red below.
Above +40 = strong bullish momentum; below -40 = strong bearish momentum.
- **Horizontal Lines**: Zero (gray dashed), +40 (green dotted), -40 (red dotted).
Use as dynamic support/resistance for momentum.
- **Buy/Sell Shapes**: Green “BUY” below candle, red “SELL” above candle.
Appear only on crossovers confirmed by volume spike.
- **Divergence Labels**: “Bull Div ▲” (green) and “Bear Div ▼” (red).
Indicate potential reversals when price and RSI diverge.
- **Trend Background**: Light green = strong bull, light red = strong bear.
Provides instant visual bias.
- **Dashboard Table** (top-right corner): Shows current and higher-TF values for Fusion, RSI, MACD Hist, Stoch, Volume Spike, and Trend.
Green = bullish, red = bearish, yellow = neutral/overbought/oversold.
#### **Step 4: Generating and Using Signals / Basic Strategy**
- **Buy Signal** — “BUY” label + fusion crosses above 0 + volume spike + bullish divergence + green background.
- **Sell Signal** — “SELL” label + fusion crosses below 0 + volume spike + bearish divergence + red background.
- **Strong Trend Confirmation** — Dashboard shows “STRONG BULL” or “STRONG BEAR” → favor trend-following trades.
- **Neutral / Ranging** — No strong color or dashboard signals → avoid new positions or wait for breakout.
- **Example Workflow**:
1. Check higher-TF column in dashboard for alignment.
2. Wait for “BUY” or “SELL” label with volume “YES”.
3. Confirm divergence (if present) and background color.
4. Enter trade with stop-loss below/above recent swing.
5. Exit on opposite signal or when fusion returns to zero.
#### **Step 5: Setting Up Alerts**
- Right-click on the chart → “Add Alert.”
- Select “Funded Indicator” as the condition source.
- Choose one of the built-in alerts:
- “Fusion BUY + Volume”
- “Fusion SELL + Volume”
- Set frequency to “Once Per Bar Close” to reduce noise.
- Customize message (e.g., “Buy signal on {{ticker}} at {{close}}”).
- Enable notifications (email, app push, SMS, webhook for automation).
- Test alerts in a demo environment first.
#### **Step 6: Testing and Optimization**
- **Backtesting** — Use TradingView’s “Bar Replay” tool to manually review historical signals.
- **Forward Testing** — Apply the indicator to a paper trading account for 1–4 weeks.
- **Parameter Optimization** — Adjust one input at a time (e.g., volume threshold, weights) and compare performance across different symbols and timeframes.
- **Market-Specific Tuning** — Crypto may need higher volume thresholds; forex may benefit from tighter RSI levels.
#### **Step 7: Advanced Tips and Important Reminders**
- **Best Timeframes**: 5m–1h for intraday; 4h–daily for swing trading.
- **Complementary Tools**: Use with support/resistance, moving averages, or volume profile for better context.
- **Risk Management**: Never risk more than 1–2% per trade. Always set stop-loss and take-profit levels.
- **Limitations**: No indicator is perfect. False signals occur in ranging or low-volume markets.
- **Updates**: If new features are added (e.g., additional filters), re-save and re-add the script.
This guide helps users maximize the value of the Funded Indicator while maintaining responsible trading practices. Happy analyzing and trading!
Trading!
[CT] ORB SuiteThis indicator is an Opening Range first tool that also includes an Initial Balance framework, breakout detection, and a full target and alerting package. It is designed to define a clean Opening Range at the start of the regular trading session and then turn that range into an actionable breakout structure by plotting the key levels, projecting measured targets, and visually confirming the exact breakout candle on your chart. The Opening Range component can be configured as either the first bar of the session or a true time-based duration, such as 1, 2, 5, 10, 15, 30 minutes, or 1 hour, which lets you standardize the opening structure across different chart timeframes without needing to “count bars.” As price prints during the Opening Range window, the script continuously updates the OR high and OR low, then locks those levels once the window closes so you have a stable reference for the rest of the session. The OR area can be shaded for quick visual recognition, and an optional OR midpoint line and label can be displayed to help you judge whether price is accepting above the middle of the range or failing back through it.
Once the Opening Range is formed, the script upgrades the workflow by adding breakout qualification rules that you can control. You can choose confirmation based on a body cross, a close cross, or a close above or below the range boundary, which is a meaningful improvement over simple “touch” logic because it helps reduce false signals and makes the breakout trigger more consistent with how you actually trade. When a breakout is confirmed, the indicator can highlight the breakout candle itself so there is no ambiguity about which bar triggered the signal. You can highlight the candle body, the chart background, or both, and you can select separate colors for long and short breakouts. This makes chart review and live decision-making cleaner because you can immediately see where the breakout truly occurred instead of guessing between several candles that probed the level.
The next major upgrade is the breakout target system. After a long breakout, targets are calculated as true multiples of the Opening Range size, starting from the OR high and projecting upward by the selected multiples. After a short breakout, targets are calculated from the OR low and projected downward by the same multiple logic. By default, the script supports four take-profit targets, TP1 through TP4, with sensible preset multiples that step outward in a structured way, but you can customize each multiple to match your instrument and style. This target system is a practical enhancement because it provides objective, range-based profit-taking levels that align with common intraday expansion behavior rather than arbitrary fixed tick offsets. You also get full control over whether the target lines and labels appear only after a breakout triggers, which keeps the chart clean and prevents “pre-biasing,” or whether you want to see projected targets in both directions before the breakout occurs for planning and scenario mapping. In addition, the target hit detection is configurable so you can decide whether a target is considered “hit” by a simple high or low touch or only after a close crosses the target, which is important for traders who want stricter confirmation and cleaner backtesting logic.
Beyond the OR and targets, the indicator includes a complete Initial Balance module as an additional layer of structure. The IB duration is selectable and independent, and the script can plot IB high, IB low, and an optional IB midpoint, with optional fill shading to make the balance area obvious. A key upgrade here is the ability to base the breakout targets on either the Opening Range or the Initial Balance. This means you can run a pure OR breakout playbook, a pure IB breakout playbook, or compare both structures on the same session without changing indicators. This flexibility matters because OR breakouts tend to be more sensitive and earlier, while IB-based levels often better reflect the session’s early balance and can produce more stable expansion targets.
Another major improvement is the history and session management. The script can freeze all drawings at the end of the session so lines and fills do not incorrectly extend into the next day, and it can optionally keep a configurable amount of history, such as the last 20 sessions, so you can study how price reacts to prior OR and IB structures. You also have control over whether IB should be included in that stored history, which helps if you want a cleaner chart while still retaining the OR context. To support different chart themes and personal preferences, label styling is expanded with controls for label background colors, text colors, transparency, and horizontal offsets, so the levels remain readable without covering price action.
Finally, the alerting system is upgraded into a full set of actionable events. The indicator can generate alerts for session open and session close, for the moment the Initial Balance forms, for the moment the Opening Range forms, for long and short breakouts, and for each target hit from TP1 through TP4. Alerts can be used in standard alertcondition form or as dynamic alert() calls that include price-filled messages, which is a practical enhancement for traders who want their phone or desktop notifications to contain the exact level values rather than generic labels.
This script is a derivative work built on the original Initial Balance foundation authored by © czoa under the Mozilla Public License 2.0, with extensive additions and improvements by © ChaosTrader63 to expand it into a complete Opening Range and Initial Balance breakout suite. The core upgrades are the configurable time-based Opening Range, breakout candle highlighting, multi-target measured range projections through TP4 with optional pre-projection behavior, stricter breakout confirmation modes, target hit rules, richer history controls, stronger label customization, and a comprehensive alert system that turns the session structure into a usable trade planning and execution framework directly on TradingView.
Super Indicator by Funded RelayWelcome to the Super Indicator – a cutting-edge TradingView tool built by Funded Relay. This overlay indicator fuses moving averages, RSI, MACD, Bollinger Bands, ATR volatility, multi-timeframe (MTF) divergences, and an innovative ensemble voting system to deliver high-probability signals. It's designed for traders seeking an edge in crypto, forex, stocks, or indices.Follow this guide step-by-step to install, customize, interpret, trade, and optimize for maximum benefit. Remember: No indicator guarantees profits – combine with discipline, risk management, and your strategy to turn signals into gains.Step 1: Add the Indicator to Your TradingView ChartLog into TradingView (tradingview.com) and open a chart for your preferred symbol (e.g., BTCUSDT, EURUSD, or AAPL).
Click the Indicators button (fx icon) at the top of the chart.
In the search bar, type "Super Indicator" or "Super Ind" (short title).
If it's not in the public library yet:Open the Pine Editor (bottom panel tab).
Paste the full Pine Script code provided.
Click Save and name it "Super Indicator".
Add it to your chart from My Scripts.
The indicator will overlay on your price chart, showing lines, bands, histogram, flashy labels, and a top-right dashboard table.
Benefit Tip: Start on a 15-minute or 1-hour timeframe for intraday trading, or daily for swing setups. This step takes seconds and gives you real-time insights without cluttering your chart.Step 2: Customize Inputs for Your Trading StyleOnce added, click the gear icon () next to the indicator name in the chart's legend.
Adjust these key parameters:Fast MA Length: Default 50 – shorten to 20-40 for fast markets like crypto to catch quick trends.
Slow MA Length: Default 200 – lengthen to 100-300 for slower assets like stocks to filter noise.
RSI Length/Overbought/Oversold: Default 14/70/30 – tighten to 80/20 in volatile pairs for fewer but stronger signals.
MACD Fast/Slow/Signal: Default 12/26/9 – standard works well; tweak slightly for optimization.
BB Length/Multiplier: Default 20/2.0 – increase multiplier to 2.5-3.0 in choppy conditions to widen bands.
ATR Length: Default 14 – use for volatility filters.
Higher Timeframe for Divergence: Default "D" (daily) – set to "4H" or "W" for broader context.
Click OK to apply. Save as a template for quick switches between assets.
Benefit Tip: Customization aligns the indicator with your risk tolerance. Backtest on historical data using TradingView's Bar Replay feature to find settings that boost win rates (aim for 60%+ with good R:R). This personalization can turn generic signals into tailored profit opportunities.Step 3: Understand the Visual ComponentsThe indicator is highly visual for quick decision-making:Plots:Blue line: Fast Moving Average (momentum).
Red line: Slow Moving Average (overall trend).
Purple lines: Bollinger Bands (volatility channels) – yellow fill highlights squeezes (low vol periods).
Histogram: MACD bars (green/red) – brighter colors indicate strengthening momentum.
Flashy Labels (Textdraws): STRONG BUY: Large green label below bar – high-confidence long signal.
STRONG SELL: Large red label above bar – high-confidence short/exit signal.
SQUEEZE!: Yellow center label – potential breakout incoming.
Bull Div: Small lime label below – bullish MTF divergence (reversal up).
Bear Div: Small orange label above – bearish MTF divergence (reversal down).
High Vol!: Tiny fuchsia label – volatility spike; adjust stops.
Dashboard Table (top-right black box):Rows: Trend (Bullish ↑/Bearish ↓), Momentum (Strong/Weak + RSI value), Volatility (High /Low + predicted ATR), Divergence (Bullish /Bearish /None), Signal (BUY /SELL /HOLD + vote counts).
Colors: Green for bullish, red for bearish, yellow for neutral.
Benefit Tip: Scan the dashboard first on every new candle – it's your "at-a-glance" profit radar. Labels make signals unmissable, reducing emotional trading and helping you spot setups faster than manual analysis.Step 4: Interpret Signals and Execute TradesThe core innovation is the ensemble voting system (up to 5 votes from RSI, MACD, trend, divergence, and BB squeeze):Strong Buy: ≥3 buy votes and ≤1 sell vote – enter long positions (buy or go long).
Strong Sell: ≥3 sell votes and ≤1 buy vote – enter shorts or exit longs.
Neutral/HOLD: Mixed votes – stand aside or wait for confirmation.
Enhancers:Bullish Divergence (): Price makes lower low, but higher-TF RSI makes higher low – strong reversal buy filter.
Bearish Divergence (): Opposite for sells.
BB Squeeze ( + yellow fill): Low volatility – watch for breakout direction (above basis = buy bias, below = sell).
High Volatility (): Avoid tight stops; use predicted vol (EMA of ATR) to forecast chop.
Trade Execution Checklist (to maximize profits):Confirm signal strength: Dashboard shows BUY/SELL with 3+ votes?
Check confluence: Divergence agrees? Price breaks key level/support/resistance?
Time entry: Wait for bar close to avoid repainting.
Set risk: Stop-loss below recent low (for buys) or above high (for sells); target 1:2-1:3 R:R.
Position size: Risk only 0.5-1% of account per trade.
Exit: Take partial profits at targets; trail stop on remaining.
Benefit Tip: Focus on high-vote signals (4-5 votes) for 70-80% win potential in backtests. Combine with price action (e.g., candlestick patterns) to filter false positives, turning the indicator into a profit machine. Avoid overtrading – aim for 2-5 setups/week for sustainable gains.Step 5: Set Up Alerts for Hands-Off MonitoringRight-click the indicator name in the legend → Add Alert.
Select a condition: Strong Buy, Strong Sell, BB Squeeze, Bullish Divergence, or Bearish Divergence.
Set frequency: Once Per Bar Close (reliable, no mid-bar noise).
Choose notifications: Popup, email, SMS, or webhook (integrate with Discord/Telegram bots).
Customize message: e.g., "{{ticker}} {{interval}} – Strong Buy detected! Votes: {{plot_0}}".
Test on a live or replay chart.
Benefit Tip: Alerts free up your time – get notified on mobile for entries without screen-staring. Use webhooks for auto-trading bots (e.g., via TradingView to broker APIs) to capture profits 24/7, especially in crypto.Step 6: Advanced Optimization and Profit MaximizationMulti-Timeframe Strategy: Use on a lower TF (e.g., 1H) with higher input (e.g., "D") for confluence – only trade if lower TF signal aligns with higher TF divergence.
Integration: Pair with volume indicators, Fibonacci levels, or order flow tools for extra edge.
Backtesting & Journaling: Use TradingView's Strategy Tester (convert indicator to strategy if needed) – log 100+ trades to refine settings and calculate expectancy (profits per trade).
Risk Management Rules: Never risk more than 2% total; diversify across 5-10 symbols; avoid trading during news (use vol filter).
Common Pitfalls to Avoid: Ignoring neutrals (leads to losses in chop); over-optimizing (stick to proven settings); revenge trading after losses.
Community & Updates: Share setups on t.me/fundedrelay; check for script updates to add new features.
Benefit Tip: Treat this as a business tool – consistent 1-2% weekly gains compound to 50-100% yearly returns. Paper trade first (TradingView simulator) to build confidence, then scale with real capital. Track metrics like win rate, average win/loss to iteratively improve profits.Disclaimer: This is an educational tool only. Trading involves substantial risk of loss and is not suitable for everyone. Past performance does not guarantee future results. No financial advice – use at your own risk. Funded Relay Super Indicator Owner – trade responsibly and stay funded.
Accurate Swing Trading + Support Resistance MTF (EN)Swing trading setup based on volume and support restistance. use buy main signal for large trend change and for swing trade use buy
Asset Liquidity Meter by Funded RelayAsset Liquidity Meter by Funded Relay
This indicator estimates the liquidity of any asset by calculating the volume traded per unit of price movement (volume / (high - low)).
Higher values generally indicate better liquidity (more volume in a smaller price range → easier to enter/exit positions with less slippage).
Lower values suggest thinner liquidity (higher risk of price impact and volatility).
The indicator displays:
• Histogram: raw liquidity per bar (green = above SMA, red = below SMA)
• SMA line: smoothed liquidity trend
• Real-time info table in the top-right corner
• Built-in alert conditions
How to Use – Step by Step
1. Adding the Indicator
- Open any chart on TradingView
- Click the "Indicators" button at the top
- Search for "Asset Liquidity Meter v6" (or find it in Community Scripts / My Scripts)
- Click to add it to the chart
- It will appear in a separate pane below the price chart
2. Customizing Settings
Double-click the indicator name in the pane (or right-click → Settings):
• SMA Length (default: 14)
- Controls the smoothing period of the liquidity trend line
- Smaller values (5–10) → more responsive, good for intraday/scalping
- Larger values (20–50) → smoother trend, better for swing/position trading
• Epsilon (default: 0.00000001)
- Tiny value that prevents division-by-zero errors on flat bars (high = low)
- Almost never needs to be changed
• Colors
- High Liquidity Color: histogram bars when liquidity > SMA
- Low Liquidity Color: histogram bars when liquidity < SMA
- SMA Line Color: color of the smoothed trend line
• Show Alert Conditions in Menu
- Keep enabled (true) to see the built-in alert options when creating alerts
3. Reading & Interpreting the Indicator
• Histogram Bars (Raw Liquidity)
- Height = amount of volume per unit of price range
- Tall bars = high liquidity (market is "thick")
- Short bars = low liquidity (market is "thin")
- Green = current liquidity is stronger than the average (SMA)
- Red = current liquidity is weaker than the average
• Blue SMA Line
- Shows the average liquidity over the selected period
- Rising line → liquidity improving (more participants, easier trading)
- Falling line → liquidity decreasing (thinner market, caution advised)
• Info Table (top-right corner)
- Displays current raw liquidity, SMA value, and status ("High Liquidity" / "Low Liquidity")
- Updates in real-time on the last bar
• Zero Line (dotted gray)
- Visual reference — everything above zero is positive liquidity
4. Practical Trading Applications
• High Liquidity Zones (green bars + rising SMA)
- Favorable conditions for entering or scaling into positions
- Lower expected slippage
- Better for large orders
• Low Liquidity Zones (red bars + falling SMA)
- Higher risk of slippage and exaggerated price moves
- Consider smaller position sizes or waiting for better conditions
- Common during session opens/closes, holidays, or low-volume periods
• Crossovers
- Liquidity crossing above SMA → potential increase in market participation
- Liquidity crossing below SMA → potential drying up of interest
5. Setting Up Alerts
1. Right-click on the chart → "Add Alert"
2. In "Condition", select "Asset Liquidity Meter v6"
3. Choose one of the available alert conditions:
- Liquidity ↑ Crosses Above SMA
- Liquidity ↓ Crosses Below SMA
- Very High Liquidity (2× SMA)
- Very Low Liquidity (<30% SMA)
4. Set frequency (Once Per Bar Close is usually best)
5. Configure notification (email, popup, sound, webhook, etc.)
6. Create the alert
6. Tips for Best Results
• Works on all markets: stocks, forex, crypto, futures, indices
• Best on timeframes with meaningful volume data (5 min and higher usually give clearest signals)
• Compare liquidity across different assets or timeframes using multiple charts
• Combine with support/resistance, volume profile or order flow tools for confirmation
• Not a standalone signal — use in context with your overall strategy
Limitations & Notes
• This is an estimation based on OHLCV data — it does not show real order book depth
• Results vary significantly between centralized exchanges, brokers and instruments
• Zero-volume bars will show zero liquidity (expected behavior)
Enjoy safer and more informed trading!
Questions or suggestions? Feel free to comment below.
High Breakout PRO - Huy Hoang Trader
# High Breakout PRO - Huy Hoang Trader - Strategy Description
## 🚀 Overview
**High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**.
This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes.
## 💎 Key Features
1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability.
2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines:
* **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support).
* **Volatility:** Uses ATR-based trailing (Chandelier Exit logic).
* *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation.
3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter.
## 🛠 Strategy Logic
### entry rules
* **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20).
* **Trend Confirmation:** Closing Price > EMA 200 (Configurable).
### Exit Rules
* **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**.
* The Trailing Stop never moves down. It only moves up as price increases.
* It effectively adapts to both slow-grinding trends and explosive spikes.
## ⚙️ Best Settings (Recommended)
* **Timeframe:** H4 (Swing Trading) or Daily (Position Trading).
* **Entry Period (X):** 20
* **Exit Period (Y):** 10
* **Trend Filter:** ON (EMA 200)
* **Risk Management:** Hybrid Mode (ATR Multiplier 3.0)
## ⚠️ Disclaimer
This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading.
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*Developed by Antigravity. Empowering traders with institutional-grade tools.*
Contact for work: www.facebook.com
Seasonality (Prev Month Close Expected)Seasonality Indicator
This indicator shows how an asset has historically behaved during each calendar month. It highlights the typical price direction and strength for the current month based on long-term seasonal patterns.
The projected zone on the chart represents the average historical outcome for the ongoing month, allowing traders to quickly see whether current price action is developing in line with, above, or below its usual seasonal behavior. A heatmap summarizes monthly performance across years, making recurring strong and weak periods easy to identify.
Vladimir Popdimitrov
Volume Profile Skew [BackQuant]Volume Profile Skew
Overview
Volume Profile Skew is a market-structure indicator that answers a specific question most volume profiles do not:
“Is volume concentrating toward lower prices (accumulation) or higher prices (distribution) inside the current profile range?”
A standard volume profile shows where volume traded, but it does not quantify the shape of that distribution in a single number. This script builds a volume profile over a rolling lookback window, extracts the key profile levels (POC, VAH, VAL, and a volume-weighted mean), then computes the skewness of the volume distribution across price bins. That skewness becomes an oscillator, smoothed into a regime signal and paired with visual profile plotting, key level lines, and historical POC tracking.
This gives you two layers at once:
A full profile and its important levels (where volume is).
A skew metric (how volume is leaning within that range).
What this indicator is based on
The foundation comes from classical “volume at price” concepts used in Market Profile and Volume Profile analysis:
POC (Point of Control): the price level with the highest traded volume.
Value Area (VAH/VAL): the zone containing the bulk of activity, commonly 70% of total volume.
Volume-weighted mean (VWMP in this script): the average price weighted by volume, a “center of mass” for traded activity.
Where this indicator extends the idea is by treating the volume profile as a statistical distribution across price. Once you treat “volume by price bin” as a probability distribution (weights sum to 1), you can compute distribution moments:
Mean: where the mass is centered.
Standard deviation: how spread-out it is.
Skewness: whether the distribution has a heavier tail toward higher or lower prices.
This is not a gimmick. Skewness is a standard statistic in probability theory. Here it is applied to “volume concentration across price”, not to returns.
Core concept: what “skew” means in a volume profile
Imagine a profile range from Low to High, split into bins. Each bin has some volume. You can get these shapes:
Balanced profile: volume is fairly symmetric around the mean, skew near 0.
Bottom-heavy profile: more volume at lower prices, with a tail toward higher prices, skew tends to be positive.
Top-heavy profile: more volume at higher prices, with a tail toward lower prices, skew tends to be negative.
In this script:
Positive skew is labeled as ACCUMULATION.
Negative skew is labeled as DISTRIBUTION.
Near-zero skew is NEUTRAL.
Important: accumulation here does not mean “buying will immediately pump price.” It means the profile shape suggests more participation at lower prices inside the current lookback range. Distribution means participation is heavier at higher prices.
How the volume profile is built
1) Define the analysis window
The profile is computed on a rolling window:
Lookback Period: number of bars included (capped by available history).
Profile Resolution (bins): number of price bins used to discretize the high-low range.
The script finds the highest high and lowest low in the lookback window to define the price range:
rangeHigh = highest high in window
rangeLow = lowest low in window
binSize = (rangeHigh - rangeLow) / bins
2) Create bin midpoints
Each bin gets a midpoint “price” used for calculations:
price = rangeLow + binSize * (b + 0.5)
These midpoints are what the mean, variance, and skewness are computed on.
3) Distribute each candle’s volume into bins
This is a key implementation detail. Real volume profiles require tick-level data, but Pine does not provide that. So the script approximates volume-at-price using candle ranges:
For each bar in the lookback:
Determine which bins its low-to-high range touches.
Split that candle’s total volume evenly across the touched bins.
So if a candle spans 6 bins, each bin gets volume/6 from that bar. This is a practical, consistent approximation for “where trading could have occurred” inside the bar.
This approach has tradeoffs:
It does not know where within the candle the volume truly traded.
It assumes uniform distribution across the candle range.
It becomes more meaningful with larger samples (bigger lookback) and/or higher timeframes.
But it is still useful because the purpose here is the shape of the distribution across the whole window, not exact microstructure.
Key profile levels: POC, VAH, VAL, VWMP
POC (Point of Control)
POC is found by scanning bins and selecting the bin with maximum volume. The script stores:
pocIndex: which bin has max volume
poc price: midpoint price of that bin
Value Area (VAH/VAL) using 70% volume
The script builds the value area around the POC outward until it captures 70% of total volume:
Start with the POC bin.
Expand one bin at a time to the side with more volume.
Stop when accumulated volume >= 70% of total profile volume.
Then:
VAL = rangeLow + binSize * lowerIdx
VAH = rangeLow + binSize * (upperIdx + 1)
This produces a classic “where most business happened” zone.
VWMP (Volume-Weighted Mean Price)
This is essentially the center of mass of the profile:
VWMP = sum(price * volume ) / totalVolume
It is similar in spirit to VWAP, but it is computed over the profile bins, not from bar-by-bar typical price.
Skewness calculation: turning the profile into an oscillator
This is the main feature.
1) Treat volumes as weights
For each bin:
weight = volume / totalVolume
Now weights sum to 1.
2) Compute weighted mean
Mean price:
mean = sum(weight * price )
3) Compute weighted variance and std deviation
Variance:
variance = sum(weight * (price - mean)^2)
stdDev = sqrt(variance)
4) Compute weighted third central moment
Third moment:
m3 = sum(weight * (price - mean)^3)
5) Standardize to skewness
Skewness:
rawSkew = m3 / (stdDev^3)
This standardization matters. Without it, the value would explode or shrink based on profile scale. Standardized skewness is dimensionless and comparable.
Smoothing and regime rules
Raw skewness can be jumpy because:
profile bins change as rangeHigh/rangeLow shift,
one high-volume candle can reshape the distribution,
volume regimes change quickly in crypto.
So the indicator applies EMA smoothing:
smoothedSkew = EMA(rawSkew, smooth)
Then it classifies regime using fixed thresholds:
Bullish (ACCUMULATION): smoothedSkew > +0.25
Bearish (DISTRIBUTION): smoothedSkew < -0.25
Neutral: between those values
Signals are generated on threshold cross events:
Bull signal when smoothedSkew crosses above +0.25
Bear signal when smoothedSkew crosses below -0.25
This makes the skew act like a regime oscillator rather than a constantly flipping color.
Volume Profile plotting modes
The script draws the profile on the last bar, using boxes for each bin, anchored to the right with a configurable offset. The width of each profile bar is normalized by max bin volume:
volRatio = binVol / maxVol
barWidth = volRatio * width
Three style modes exist:
1) Gradient
Uses a “jet-like” gradient based on volRatio (blue → red). Higher-volume bins stand out naturally. Transparency increases as volume decreases, so low-volume bins fade.
2) Solid
Uses the current regime color (bull/bear/neutral) for all bins, with transparency. This makes the profile read as “structure + regime.”
3) Skew Highlight
Highlights bins that match the skew bias:
If skew bullish, emphasize lower portion of profile.
If skew bearish, emphasize higher portion of profile.
Else, keep most bins neutral.
This is a visual “where the skew is coming from” mode.
Historical POC tracking and Naked POCs
This script also treats POCs as meaningful levels over time, similar to how traders track old VA levels.
What is a “naked POC”?
A “naked POC” is a previously formed POC that has not been revisited (retested) by price since it was recorded. Many traders watch these as potential reaction zones because they represent prior “maximum traded interest” that the market has not re-engaged with.
How this script records POCs
It stores a new historical POC when:
At least updatebars have passed since the last stored POC, and
The POC has changed by at least pochangethres (%) from the last stored value.
New stored POCs are flagged as naked by default.
How naked becomes tested
On each update, the script checks whether price has entered a small zone around a naked POC:
zoneSize = POC * 0.002 (about 0.2%)
If bar range overlaps that zone, mark it as tested (not naked).
Display controls:
Highlight Naked POCs: draws and labels untested POCs.
Show Tested POCs: optionally draw tested ones in a muted color.
To avoid clutter, the script limits stored POCs to the most recent 20 and avoids drawing ones too close to the current POC.
On-chart key levels and what they mean
When enabled, the script draws the current lookback profile levels on the price chart:
POC (solid): the “most traded” price.
VAH/VAL (dashed): boundaries of the 70% value area.
VWMP (dotted): volume-weighted mean of the profile distribution.
Interpretation framework (practical, not mystical):
POC often behaves like a magnet in balanced conditions.
VAH/VAL define the “accepted” area, breaks can signal auction continuation.
VWMP is a fair-value reference, useful as a mean anchor when skew is neutralizing.
Oscillator panel and histogram
The skew oscillator is plotted in a separate pane:
Line: smoothedSkew, colored by regime.
Histogram: smoothedSkew as bars, colored by sign.
Fill: subtle shading above/below 0 to reinforce bias.
This makes it easy to read:
Direction of bias (positive vs negative).
Strength (distance from 0 and from thresholds).
Transitions (crosses of ±0.25).
Info table: what it summarizes
On the last bar, a table prints key diagnostics:
Current skew value (smoothed).
Regime label (ACCUMULATION / DISTRIBUTION / NEUTRAL).
Current POC, VAH, VAL, VWMP.
Count of naked POCs still active.
A simple “volume location” hint (lower/higher/balanced).
This is designed for quick scanning without reading the entire profile.
Alerts
The indicator includes alerts for:
Skew regime shifts (cross above +0.25, cross below -0.25).
Price crossing above/below current POC.
Approaching a naked POC (within 1% of any active naked POC).
The “approaching naked POC” alert is useful as a heads-up that price is entering a historically important volume magnet/reaction zone.
How to use it properly
1) Regime filter
Use skew regime to decide what type of trades you should prioritize:
ACCUMULATION (positive skew): market activity is heavier at lower prices, pullbacks into value or below VWMP often matter more.
DISTRIBUTION (negative skew): activity is heavier at higher prices, rallies into value or above VWMP often matter more.
NEUTRAL: mean-reversion and POC magnet behavior tends to dominate.
This is not “buy when green.” It is context for what the auction is doing.
2) Level-based execution
Combine skew with VA/POC levels:
In neutral regimes, expect rotations around POC and inside VA.
In strong skew regimes, watch for acceptance away from POC and reactions at VA edges.
3) Naked POCs as targets and reaction zones
Naked POCs can act like unfinished business. Common workflows:
As targets in rotations.
As areas to reduce risk when price is approaching.
As “if it breaks cleanly, trend continuation” markers when price returns with force.
Parameter tuning guidance
Lookback
Controls how “local” the profile is.
Shorter: reacts faster, more sensitive to recent moves.
Longer: more stable, better for swing context.
Bins
Controls resolution of the profile.
Higher bins: more detail, more computation, more sensitive profile shape.
Lower bins: smoother, less detail, more stable skew.
Smoothing
Controls how noisy the skew oscillator is.
Higher smoothing: fewer regime flips, slower response.
Lower smoothing: more responsive, more false transitions.
POC tracking settings
Update interval and threshold decide how many historical POCs you store and how different they must be. If you set them too loose, you will spam levels. If too strict, you will miss meaningful shifts.
Limitations and what not to assume
This indicator uses candle-range volume distribution because Pine cannot see tick-level volume-at-price. That means:
The profile is an approximation of where volume could have traded, not exact tape data.
Skew is best treated as a structural bias, not a precise signal generator.
Extreme single-bar events can distort the distribution briefly, smoothing helps but cannot remove reality.
Summary
Volume Profile Skew takes standard volume profile structure (POC, Value Area, volume-weighted mean) and adds a statistically grounded measure of profile shape using skewness. The result is a regime oscillator that quantifies whether volume concentration is leaning toward lower prices (accumulation) or higher prices (distribution), while also plotting the full profile, key levels, and historical naked POCs for actionable context.
Smart money PSP with color themesPSP with Color Themes — Price Strength Parity Indicator
PSP with Color Themes is a visual correlation indicator designed to detect Price Strength Parity (PSP) between the current chart symbol and a reference symbol.
It highlights candles where price behavior between two correlated instruments diverges or aligns, which is often used in SMT (Smart Money Technique) and intermarket analysis.
The indicator works directly on the chart and colors candles when a PSP condition is detected, using flexible and customizable color themes.
📌 What Is PSP (Price Strength Parity)?
PSP identifies situations where two correlated assets:
Move in opposite directions → Direct PSP (classic SMT divergence)
Move in the same direction → Inverse PSP (confirmation mode)
Such behavior often precedes:
Reversals
Continuations
Liquidity grabs
Market structure shifts
⚙️ Indicator Inputs
Reference Symbol
Defines the second asset used for comparison (e.g., ETHUSDT vs BTCUSDT).
Purpose:
To detect relative strength or weakness between two correlated markets.
Inverse Correlation Mode
Inverse Correlation Mode (true / false)
Allows switching between divergence-based and confirmation-based analysis.
Color Theme
Available presets:
Green / Red
Blue / Orange
Purple / Yellow
Teal / Pink
Custom
Purpose:
Adapts the indicator visually to different chart styles and backgrounds.
📈 How to Use in Trading
Typical use cases:
SMT divergence detection
Intermarket confirmation
Reversal timing
Liquidity sweep context
SMC / ICT models
Recommended combinations:
Market Structure (BOS / CHoCH)
Fair Value Gaps
Liquidity levels
Session highs /lows
⚠️ Important Notes
PSP is context-based, not a standalone entry system
Best results on correlated markets:
BTC / ETH
Indices (ES / NQ / YM)
FX pairs (EURUSD / DXY)
ADR**Overview**
This indicator displays the **Average Daily Range (ADR)** and **ADR Percentage** in a customizable table on your chart.
While the standard ATR (Average True Range) is a popular metric for volatility, it accounts for price gaps (e.g., overnight moves). **ADR**, on the other hand, strictly measures the average distance between the **High** and **Low** of price bars, completely ignoring gaps.
**Why use ADR instead of ATR?**
* **Day Trading:** For intraday traders (Forex, Crypto, Futures), ADR is often preferred because it calculates the "tradable" range of the day. It answers the question: *"On average, how much does this asset move from High to Low?"*
* **Target Setting:** ADR is excellent for projecting daily highs and lows. If price has already moved 100% of its ADR, the statistical probability of further extension decreases.
* **Pure Volatility:** It filters out the noise of overnight gaps to show pure intraday volatility.
**Calculation Logic**
* **ADR:** Calculated using a Simple Moving Average (SMA) of the `High - Low` range over the specified length.
* Formula: `SMA(High - Low, Length)`
* **ADR%:** Shows the ADR relative to the current price.
* Formula: `(ADR / Current Close) * 100`
**Features**
* **Clean Dashboard:** A minimalist table displays the ADR value and the ADR %.
* **Customizable:** You can change the calculation length (default is 14) and move the table to any corner of the chart (Top/Bottom, Left/Right) to fit your workspace.
**Settings**
* **ADR Length:** The lookback period for the average (Default: 14).
* **Display Position:** Choose where the table appears on your screen.
Smart Money Structure FilterEnglish Description
Overview
Smart Money Structure Analyzer is a professional trading tool that implements Smart Money Concepts (SMC) to identify key market structure shifts, Break of Structure (BOS), and Change of Character (CHoCH) patterns. This indicator helps traders follow the "smart money" flow by detecting institutional order flow patterns on any timeframe.
Key Features
Swing Point Detection - Identifies significant highs and lows using fractal-based logic
Market Structure Analysis - Classifies market conditions as Uptrend, Downtrend, or Consolidation
Break of Structure (BOS) - Detects when price breaks key structural levels
Change of Character (CHoCH) - Identifies potential trend reversals
Mitigation Levels - Shows potential retracement targets after structure breaks
How It Works
The indicator analyzes price action through several layers:
Swing Detection Algorithm
Uses a configurable swing period (3-21 bars)
Identifies valid swing highs and lows that are confirmed by surrounding price action
Stores the last 20 swings for structure analysis
Structure Determination
Uptrend: Higher Highs (HH) + Higher Lows (HL)
Downtrend: Lower Lows (LL) + Lower Highs (LH)
Consolidation: Mixed structure or ranging market
Break of Structure (BOS) Logic
Bearish BOS: Price closes below the last confirmed Higher Low (HL)
Bullish BOS: Price closes above the last confirmed Lower High (LH)
Change of Character (CHoCH) Logic
Bearish CHoCH: After a bearish BOS, price forms a Lower Low (confirms trend reversal)
Bullish CHoCH: After a bullish BOS, price forms a Higher High (confirms trend reversal)
Mitigation Levels
Calculates potential retracement levels after BOS (typically ±0.2% from broken structure)
Visual Elements
Fractals: Swing points (optional display)
Structure Lines: Last Higher Low (blue) and Last Lower High (purple)
BOS Signals: Triangles marking structure breaks
CHoCH Signals: Circles confirming trend changes
Mitigation Levels: Dotted orange lines for potential retracements
Info Label: Real-time structure status and key levels
Alerts
The indicator provides alerts for:
Break of Structure (BOS) events
Change of Character (CHoCH) confirmations
Settings
Swing Period: Sensitivity of swing detection (default: 3)
Show Fractals: Toggle swing point markers
Show Structure Lines: Display key structure levels
Show Break of Structure: Display BOS signals
Show Change of Character: Display CHoCH signals
Show Mitigation Levels: Display retracement levels
Best Practices
Use on higher timeframes (1H+) for more reliable signals
Combine with volume analysis for confirmation
Wait for CHoCH confirmation before entering trades
Use mitigation levels as potential entry zones
Русское описание
Обзор
Smart Money Structure Analyzer - профессиональный торговый инструмент, реализующий концепции Smart Money (SMC) для определения ключевых сдвигов рыночной структуры, Break of Structure (BOS) и Change of Character (CHoCH). Индикатор помогает отслеживать поток "умных денег", выявляя паттерны институционального ордерного потока на любом таймфрейме.
Ключевые возможности
Определение свингов - Выявляет значимые максимумы и минимумы с помощью фрактальной логики
Анализ структуры рынка - Классифицирует состояние рынка: Восходящий тренд, Нисходящий тренд или Консолидация
Break of Structure (BOS) - Обнаружение пробития ключевых уровней структуры
Change of Character (CHoCH) - Определение потенциальных разворотов тренда
Уровни митигации - Показывает потенциальные цели отката после пробоя структуры
Принцип работы
Индикатор анализирует ценовое действие через несколько уровней:
Алгоритм определения свингов
Использует настраиваемый период свинга (3-21 свечи)
Определяет валидные максимумы и минимумы, подтвержденные окружающим движением цены
Сохраняет последние 20 свингов для анализа структуры
Определение структуры
Восходящий тренд: Higher Highs (HH) + Higher Lows (HL)
Нисходящий тренд: Lower Lows (LL) + Lower Highs (LH)
Консолидация: Смешанная структура или флет
Логика Break of Structure (BOS)
Медвежий BOS: Цена закрывается ниже последнего Higher Low (HL)
Бычий BOS: Цена закрывается выше последнего Lower High (LH)
Логика Change of Character (CHoCH)
Медвежий CHoCH: После медвежьего BOS формируется Lower Low (подтверждает разворот)
Бычий CHoCH: После бычьего BOS формируется Higher High (подтверждает разворот)
Уровни митигации
Расчет потенциальных уровней отката после BOS (обычно ±0.2% от сломанной структуры)
Визуальные элементы
Фракталы: Точки свингов (опционально)
Линии структуры: Последний Higher Low (синий) и последний Lower High (фиолетовый)
Сигналы BOS: Треугольники, отмечающие пробой структуры
Сигналы CHoCH: Круги, подтверждающие изменение тренда
Уровни митигации: Пунктирные оранжевые линии для потенциальных откатов
Инфо-метка: Статус структуры и ключевые уровни в реальном времени
Оповещения
Индикатор предоставляет алерты для:
Событий Break of Structure (BOS)
Подтверждений Change of Character (CHoCH)
Настройки
Период свинга: Чувствительность определения свингов (по умолчанию: 3)
Показывать фракталы: Включение/выключение маркеров свингов
Показывать линии структуры: Отображение ключевых уровней структуры
Показывать Break of Structure: Отображение сигналов BOS
Показывать Change of Character: Отображение сигналов CHoCH
Показывать уровни митигации: Отображение уровней отката
Рекомендации по использованию
Используйте на старших таймфреймах (1H+) для более надежных сигналов
Комбинируйте с анализом объема для подтверждения
Ждите подтверждения CHoCH перед входом в сделку
Используйте уровни митигации как потенциальные зоны входа
Технические особенности
Максимальное количество меток: 500
Работает на любых таймфреймах
Не перерисовывает прошлые сигналы
Эффективно использует ресурсы благодаря ограничению хранения свингов
Индикатор предназначен для трейдеров, работающих с Price Action и концепциями Smart Money, и помогает систематизировать анализ рыночной структуры в соответствии с подходами институциональных трейдеров.
Sumit' Trade line strategy (4PM-1AM)SUMIT INGOLE
This is a custom-built trading indicator designed to help traders identify clear market direction and high-probability entry zones.
The indicator focuses on: • Trend direction
• Strong price levels
• Clear buy and sell signals
• Easy-to-read structure
It is beginner-friendly and does not require complex market knowledge. The signals are based on pure price behavior and smart market movement, helping traders avoid confusion and overtrading.
This indicator works best when used with proper risk management and discipline. It can be applied on multiple timeframes and is suitable for intraday as well as swing trading.
Note:
This indicator is a support tool, not a guarantee of profits. Always follow your trading plan and manage risk properly.
Optimal Day Trading System🚥 How to Trade with ODTS
The indicator provides visual cues on the chart (triangles) and a real-time Status Table to help you make decisions.
Signal Definitions
Buy Signal (Green Triangle): Price is above the Sunya line and the Primary Cycle is trending up.
Strong Buy (Lime Triangle): All criteria are met, plus the Secondary Cycle has also turned bullish. This indicates "confluence".
Sell Signal (Red Triangle): Price is below the Sunya line and the Primary Cycle is trending down.
Strong Sell (Maroon Triangle): Both Primary and Secondary cycles are aligned with a price break below the Sunya line.
Real-Time Status Table
Located at the top right, this table gives you an instant "health check" of the current asset:
Price > Sunya: Confirms if the current price is above or below the FLD.
Cycle Dir: Shows the slope of the primary trend.
Position: Tells you if price is "Inside" the envelope (ranging) or "Above/Below" (overextended).
📈 Best Practices
Confluence is Key: The strongest trades occur when the Signal column in the table shows "STRONG BUY" or "STRONG SELL," meaning multiple cycles are in agreement.
Envelope Extremes: If the Status Table shows the Position as "ABOVE" or "BELOW" the envelope, be cautious about entering new trades, as the price may be overextended and due for a reversion to the Basis (mean).
Timeframe Synergy: Use the 15-minute timeframe for swing trade entries and the 1-minute or 5-minute for precise day trading executions.
Volatility Momentum Suite | Lyro RSVolatility Momentum Suite is an advanced momentum and volatility-based oscillator designed to deliver a complete view of trend strength, acceleration, and market extremes in a single pane. By combining rate-of-change smoothing, adaptive moving averages, standard deviation bands, and momentum acceleration, the indicator provides clear structural insight into trend continuation, exhaustion, and potential reversals.
Built with multiple display and signal modes, it adapts seamlessly to both trend-following and mean-reversion workflows while maintaining strong visual clarity.
Key Features
Momentum Core (Smoothed RoC)
The foundation of the indicator is a Rate of Change (RoC) calculation applied to a selectable price source. This RoC is smoothed using one of 14+ moving average types, including EMA, HMA, KAMA, FRAMA, JMA, and more, allowing precise control over responsiveness versus smoothness.
Standard Deviation Bands
Dynamic deviation bands are calculated around the smoothed momentum line using rolling standard deviation. Two band layers are plotted:
Inner bands for early expansion signals
Outer bands for extreme conditions
These bands adapt automatically to volatility, highlighting momentum expansions, compressions, and exhaustion zones.
Momentum Acceleration
A dedicated acceleration line measures the momentum of momentum itself. This helps identify:
Early trend ignition
Momentum deceleration before reversals
Continuation strength during expansions
Acceleration smoothing and MA type are fully configurable.
Multi-Mode Signal System
Trend Mode
Colors momentum and price according to position above or below the zero line, emphasizing directional bias and trend continuation.
Heikin Ashi Candles Mode
Applies Heikin Ashi logic directly to the momentum series, filtering noise and revealing smoother trend transitions through candle structure.
Extremes Mode
Detects statistically extreme momentum conditions beyond outer deviation bands. Signals are only confirmed after a Heikin Ashi momentum flip, reducing premature reversal entries.
Histogram Mode
Displays the difference between momentum and its signal line as a histogram, useful for divergence spotting and momentum shifts.
Histogram & Signal Line
An EMA signal line is applied to the smoothed momentum, producing a histogram that visually tracks momentum expansion, contraction, and directional changes with adaptive coloring.
Visual Customization
Choose from multiple predefined color palettes:
Classic
Mystic
Accented
Royal
Or define your own bullish and bearish colors.
Additional visual features include:
Momentum-colored candles
Heikin Ashi momentum candles
Band shading and fills
Optional zero-line reference
Integrated Status Table
A built-in table summarizes the real-time state of:
Trend bias
Heikin Ashi momentum direction
Extreme overbought / oversold conditions
This allows rapid decision-making without needing to interpret every visual element manually.
How It Works
Momentum Calculation
Computes Rate of Change on the selected source and smooths it using the chosen moving average.
Volatility Structure
Builds adaptive deviation bands from rolling standard deviation of the momentum line.
Acceleration Layer
Measures the rate of momentum change to detect early shifts in strength.
Mode-Dependent Logic
Trend mode focuses on directional bias
HA mode smooths momentum structure
Extremes mode filters reversals using volatility and HA confirmation
Histogram mode emphasizes momentum differentials
Signals & Alerts
Automatic alerts trigger on:
Momentum crossing above or below zero
Heikin Ashi momentum flips
Confirmed overbought and oversold extremes
Practical Use
Trend Confirmation: Sustained momentum above zero with expanding bands supports trend continuation.
Reversal Identification: Momentum pushing beyond outer bands followed by HA confirmation often precedes reversals.
Momentum Quality: Acceleration helps distinguish strong breakouts from weakening moves.
Multi-Timeframe Alignment: Use higher timeframes for bias and lower timeframes for precision entries using the same indicator.
Customization
Adjust RoC length and smoothing for sensitivity
Tune band length and multipliers for volatility conditions
Select display and signal modes based on strategy type
Fully customize colors to match your chart environment
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other forms of analysis and proper risk management. The author assumes no responsibility for trading decisions made using this indicator.
StO Price Action - Luminous Daily RoadmapShort Summary
- Luminous Daily Roadmap (LDR) are special trading days
- Marks entire trading days using background coloring
- Creates a clear daily roadmap directly on the chart
- Designed to stay minimal and non-intrusive
Full Description
Overview
- LDR is a proprietary forex trading schedule
- Dates of major trend reversals or significant market continuations
- Highlights full trading days using background colors
- Improves visual structure and day-to-day orientation
- Focuses purely on time segmentation, not price signals
- Suitable for all markets and timeframes
Daily Marking Logic
- Each trading day is visually marked across all its bars
- Background coloring spans the full session of the day
- Works consistently across intraday and higher timeframes
Year Look Back (YLB)
- YLB defines the starting year for day marking
- Markings are only applied from the selected year onward
- Allows focused analysis on recent or specific years
Visualization
- Background color is fully customizable
- Uses high transparency to avoid hiding price action
Usage
- Useful for session-based and daily analysis
- Supports routine-based trading and journaling
- Enhances visual rhythm of the chart
Notes
- This indicator is purely visual and non-predictive
- No alerts or signals are generated
- Best used as a structural overlay for orientation
- Can be combined with any price action or indicator-based workflow
Session Liquidity Sweep + Trend ConfirmationThis strategy aims to capture high-probability intraday trades by combining liquidity sweeps with a trend confirmation filter. It is designed for traders who want a systematic approach to trade breakouts during specific market sessions while controlling risk with ATR-based stops.
How it Works:
Session Filter: Trades are only considered during a defined session (default 9:30 - 11:00). This helps avoid low-volume periods that can lead to false signals.
Trend Confirmation: The strategy uses a 50-period EMA to identify the market trend. Long trades are only taken in an uptrend, and short trades in a downtrend.
Liquidity Sweep Detection:
A long entry occurs when price dips below the prior N-bar low but closes back above it, indicating a potential liquidity sweep that stops being triggered before the trend continues upward.
A short entry occurs when price spikes above the prior N-bar high but closes below it, signaling a potential sweep of stops before the downward trend resumes.
ATR-Based Risk Management:
Stop loss is calculated using the Average True Range (ATR) multiplied by a configurable factor (default 1.5).
Take profit is set based on a risk-reward ratio (default 2.5x).
Position Sizing: Default position size is 5% of equity per trade, making it suitable for risk-conscious trading.
Inputs:
Session Start/End (HHMM)
Liquidity Lookback Period (number of bars to define prior high/low)
ATR Length for stop calculation
ATR Stop Multiplier
Risk-Reward Ratio
EMA Trend Filter Length
Visuals:
Prior Liquidity High (red)
Prior Liquidity Low (green)
EMA Trend (blue)
Why Use This Strategy:
Captures stop-hunt moves often triggered by larger market participants.
Only trades with trend confirmation, reducing false signals.
Provides automatic ATR-based stop loss and take profit for consistent risk management.
Easy to adjust session time, ATR, EMA length, and risk-reward to suit your trading style.
Important Notes:
Assumes 0.05% commission and 1-pip slippage. Adjust according to your broker.
Not financial advice; intended for educational, backtesting, or paper trading purposes.
Always test strategies thoroughly before applying to live accounts.
DAX 9-10 Breakout Strategy IndicatorOpening Hour Breakout (ORB) indicator for intraday trading.
WHAT IT DOES:
• Identifies the price range of a specific hour (default: 9:00-10:00)
• Detects breakout direction (Long/Short) when price breaks above HIGH or below LOW
• Automatically calculates Take Profit and Stop Loss zones based on range size
• Tracks trade outcome (Win/Lose) when TP or SL is hit
HOW TO USE:
1. Set the session hour according to your chart's timezone
2. Wait for the session range to form (yellow box)
3. Enter on breakout above HIGH (Long) or below LOW (Short)
4. TP and SL levels are automatically calculated
DEFAULT SETTINGS:
• TP Multiplier: 1.41x range (Risk:Reward ≈ 1:2.7)
• SL Multiplier: 0.52x range
FEATURES:
• Works on any timeframe (H1, M15, M30, etc.)
• Visual zones for session range, TP, and SL
• Price labels for all key levels
• Entry arrows and direction letters (L/S)
• Win/Lose markers (W/X) when trade closes
• Fully customizable - show/hide any element
• Info panel with live status and R:R ratio
• Alert conditions for Entry, TP hit, SL hit
BEST USED ON:
• DAX (Germany 40)
• Other indices: US30, US500, NAS100
• Forex majors during London/NY open
NOTE: This is an indicator for visual analysis. Use the Strategy version for backtesting.
Support & Resistance Automated📌 Support and Resistance Automated (Pivot-Based)
Support and Resistance Automated is a lightweight and fully automated indicator that plots key support and resistance levels using pivot highs and pivot lows. It helps traders quickly identify important price reaction zones without manual drawing.
This indicator is especially useful for price-action traders, swing traders, and intraday traders who rely on clean charts and objective levels.
🔍 How It Works
Pivot Highs → Resistance Levels
Pivot Lows → Support Levels
Each detected pivot creates a horizontal dotted line that extends forward, allowing you to observe how price reacts over time.
Once a level is formed, it is kept permanently on the chart — no repainting, no disappearing levels.
⚙️ Customizable Settings
You can easily adjust:
Left & Right Pivot Bars – control how strong a pivot must be
Line Extension Length
Line Width
Support & Resistance Colors
Show / Hide Pivot Highs and Pivot Lows independently
This flexibility allows the indicator to adapt to intraday, swing, or higher-timeframe analysis.
✅ Key Features
✔ Fully automatic support & resistance detection
✔ Based on proven pivot-point logic
✔ No repainting
✔ Clean, minimal chart appearance
✔ Unlimited support & resistance levels
✔ Works on all timeframes & instruments
📈 Best Use Cases
Identifying key demand and supply zones
Planning entries, targets, and stop-losses
Confluence with price action, RSI, moving averages
Breakout and rejection-based strategies
Gap Tracker Indicator v5Gap Tracker Indicator - Description
Purpose: The Gap Tracker identifies price gaps on charts and visualizes unfilled gap zones that may act as future support/resistance levels.
What it shows:
Gap zones as colored rectangles:
Red boxes = bearish gaps (price gapped down, leaving unfilled space above)
Green boxes = bullish gaps (price gapped up, leaving unfilled space below)
How gaps form:
A gap occurs when the opening price of one candle is significantly different from the closing price of the previous candle
Common after weekends, holidays, or major news events when markets are closed
Gaps create "empty" price zones with no trading activity
Trading significance:
Many traders believe gaps tend to "fill" eventually (price returns to the gap zone)
Unfilled gaps can act as magnetic levels - price often revisits them
Gap zones may provide support (bullish gaps) or resistance (bearish gaps)
On your chart:
Multiple red boxes show unfilled bearish gaps where price gapped down
Green boxes show unfilled bullish gaps where price gapped up
The indicator tracks these zones until price fills them completely
Right side shows "GAP TRACKER" panel with active gaps: Aktywne (2), Zamknięte (9), Zakres 7d (168)
Key insight: The concentration of unfilled gaps suggests potential magnetic zones where price may return for "gap fill" trades. Traders often use these levels for entries, exits, or stop placement.
Bar-Close Confirmed SupertrendOverview
This indicator is a Supertrend-style trend follower that confirms direction changes only after a bar closes. Trend flips are determined using the previous bar’s close relative to the bands, which helps avoid intrabar changes during live candles.
How it works
Computes ATR (Average True Range)
Builds upper/lower bands using ATR and a multiplier
Updates trend direction only when a prior candle confirms a break of the band
Confirmation logic (bar-close based)
Trend direction is updated using conditions based on the previous candle, such as:
close > upper → confirm uptrend
close < lower → confirm downtrend
Because signals are confirmed on the prior bar, trend changes and markers are displayed only when confirmation exists.
Signals
Uptrend confirmation: prior candle closes above the upper band → bullish marker
Downtrend confirmation: prior candle closes below the lower band → bearish marker
Inputs
ATR Length (default 10)
ATR Multiplier (default 3.0)
Notes
This script is intended for bar-close workflows. Behavior and responsiveness may differ across markets and timeframes depending on volatility and chosen settings.
Liquidity Gravity Engine [Pineify]```markdown
Liquidity Gravity Engine - Market Structure, Displacement, Liquidity Rails
Overview
Liquidity Gravity Engine is a market structure + liquidity visualization indicator designed to help you read flow , impulse , and liquidity magnets on any symbol and timeframe. Instead of relying on a single moving average, it builds a dynamic “flow ribbon” from confirmed swing structure, highlights displacement candles that create imbalance (FVG-style gaps), and projects unmitigated swing levels as liquidity rails that price often revisits.
Key Features
Liquid Flow Ribbon: a structure-based dynamic band that adapts to volatility.
Displacement Highlighting: flags momentum candles that expand beyond ATR and form an imbalance.
Liquidity Rails: extends unmitigated swing highs/lows as potential targets until swept.
Trend Context: displacement is filtered using the ribbon’s smoothed centerline.
How It Works
Market Structure (Swings) : swing highs/lows are detected using pivot logic over your “Structure Lookback”. Pivots become confirmed only after the lookback window completes, which means historical swing points can update until they are confirmed.
Flow Construction : the most recent confirmed swing high and swing low define a top and bottom boundary. Their midpoint is then smoothed with an EMA to create the “liquid” centerline.
Displacement + Imbalance : a candle is considered displacement when its range expands beyond ATR(14) × Displacement Factor and it creates a simple FVG-style gap (current low above the high two bars back for bullish, or current high below the low two bars back for bearish). The bar is then filtered by being on the correct side of the smoothed flow center.
Liquidity Rails : each new confirmed swing high/low can become a dotted rail. Rails extend forward and are removed once price sweeps beyond the level (mitigation), keeping the chart focused on active liquidity.
Trading Ideas and Insights
Use the ribbon as context : bias is stronger when price holds one side of the flow centerline.
Treat displacement markers as impulse confirmation : they often appear at breakout moments or at the start of expansions.
Use liquidity rails as magnets : unmitigated swing highs/lows can act as targets for continuation or mean-reversion moves.
Combine structure + displacement: a sweep into a rail followed by an opposite displacement can hint at a reversal attempt.
How Multiple Components Work Together
This indicator is intentionally built as a single liquidity-driven workflow:
Swings define structure.
Structure defines the flow ribbon (trend/volatility context).
The ribbon filters displacement so you see momentum that aligns with flow.
Liquidity rails provide objective target zones derived from the same swing structure.
The result is a cohesive view of market structure flow, institutional-style displacement, and liquidity targets without stacking multiple separate indicators.
Unique Aspects
Structure-first ribbon: the band is anchored to confirmed swing points, not just a price average.
Imbalance-aware displacement: requires both range expansion and a gap-style condition, reducing generic “big candle” noise.
Self-cleaning liquidity rails: mitigated levels are removed to keep the chart readable.
How to Use
Start with defaults on a clean chart.
Identify the flow: price above the smoothed centerline favors bullish flow; below favors bearish flow.
Watch for displacement diamonds (“D”): they often validate a push away from structure and can mark the start of a leg.
Plan around rails: treat dotted lines as potential objectives and areas where reactions/sweeps can occur.
Customization
Structure Lookback : smaller values = more sensitive swings; larger values = cleaner, slower structure.
Displacement Factor : higher values = fewer, stronger displacement bars; lower values = more signals.
Show Liquidity Rails + Liquidity Lookback : control whether rails are plotted and how active levels are emphasized.
Visuals : adjust bullish/bearish flow colors and liquidity line styling for your chart theme.
Conclusion
Liquidity Gravity Engine helps you map market structure, highlight displacement and imbalance (FVG-style) momentum, and visualize liquidity targets with rails that stay relevant until swept. Use it for trend context, breakout confirmation, and liquidity-based trade planning on forex, crypto, stocks, and indices.
Kalman Hull Trend Score [BackQuant]Kalman Hull Trend Score
Overview
Kalman Hull Trend Score is a trend-strength and regime-evaluation indicator that combines two ideas, Kalman filtering and Hull-style smoothing, then measures persistence of that filtered trend using a rolling score. The goal is to produce a cleaner, more stable trend read than typical moving average tools, while still reacting fast enough to be practical in live markets.
Instead of treating a moving average as a simple line you cross, this indicator turns the filtered trend into an oscillator-like score that answers: “Is the smoothed trend consistently progressing, or is it stalling and degrading?”
Core idea
The indicator is built from two components:
A Kalman-based smoothing engine that estimates price state and reduces noise adaptively.
A Hull-style construction that uses multiple Kalman passes to create a responsive, low-lag trend filter.
Once the Kalman Hull filter is built, a persistence score is calculated by comparing the current Kalman Hull value to many past values. The result is a trend score that rises in sustained trends and compresses or flips during deterioration.
Why Kalman instead of standard smoothing
Traditional moving averages apply fixed smoothing rules regardless of market conditions. A Kalman filter behaves differently, it is designed to estimate an underlying state in noisy data, adjusting how much it “trusts” new price information versus prior estimates.
This script exposes that behavior through two key controls:
Measurement Noise: how noisy the observed price is assumed to be.
Process Noise: how much the underlying state is allowed to evolve from bar to bar.
Together, these settings let you tune the balance between smoothness and responsiveness without relying on blunt averaging alone.
Kalman filter mechanics (conceptual)
Each update cycle follows the classic structure:
Prediction: assume the state continues, and expand uncertainty by process noise.
Update: compute Kalman Gain, then blend the new price observation into the estimate.
Correction: reduce uncertainty based on how much the filter accepted the new information.
When measurement noise is higher, the filter becomes more conservative, smoothing harder. When process noise is higher, the filter adapts faster to regime changes, but can become more reactive.
Check out the original script:
Kalman Hull construction
The “Hull” component is not a standard HMA built from WMAs. Instead, it recreates the Hull idea using Kalman filtering as the smoothing primitive. The structure follows the same intent as HMA, reduce lag while keeping the line smooth, but does it with Kalman passes:
Apply Kalman smoothing over multiple effective lengths.
Combine them using the Hull-style weighting logic.
Run the combined output through another Kalman pass to finalize smoothing.
The result is a Kalman Hull filter that aims to track trend with less jitter than raw price, and less lag than slow averages.
Another Kalman Hull with Supertrend
Trend scoring logic
The trend score is computed by comparing the current Kalman Hull value to past Kalman Hull values over a fixed lookback range (1 to 45 bars in this script):
If current kalmanHMA > kalmanHMA , add +1
If current kalmanHMA < kalmanHMA , add -1
This produces a persistence score rather than a simple direction signal. Strong trends where the filter keeps advancing will accumulate positive comparisons. Weak trends, chop, or reversals will cause the score to flatten, decay, or flip negative.
Interpreting the score
Read the score as trend conviction and persistence:
High positive values: bullish persistence, the filtered trend is progressing consistently.
Low positive values: trend exists but is fragile, progress is slowing.
Near zero: indecision, range behavior, frequent challenges to structure.
Negative values: bearish persistence or sustained deterioration in the filtered trend.
The rate of change matters:
Score expansion suggests trend is gaining traction.
Score compression often signals consolidation or exhaustion.
Fast flips usually accompany regime transitions.
Signal thresholds and regime transitions
User-defined thresholds convert the score into regimes:
Long threshold: score must exceed this level to confirm bullish persistence.
Short threshold: a crossunder of the score triggers bearish regime transition.
This is intentionally conservative. Long bias is maintained while the score holds above the long threshold. Short transitions are event-triggered on breakdown via crossunder, helping avoid constant flipping during minor noise.
Signals are only plotted on regime changes (first bar of the flip), keeping them clean for alerts and backtests.
Visual presentation
The indicator provides multiple layers depending on how you want to use it:
Kalman Hull Trend Score oscillator, color-coded by active regime.
Optional Kalman Hull filter plotted on the price chart for structure context.
Optional threshold reference lines for quick regime mapping.
Optional candle coloring and background shading for instant readability.
You can run it as a pure score panel or as a combined panel + on-chart trend overlay.
How to use in practice
Trend filtering
Favor long setups when the score remains above the long threshold.
Reduce directional aggression when score compresses toward zero.
Treat a short-threshold breakdown as a regime risk event, not just a signal.
Trend quality assessment
Rising score supports continuation trades and adds confidence to breakouts.
Flat or falling score warns that trend persistence is fading.
If price trends but score fails to expand, trend may be weak or liquidity-driven.
Trade management
Use the Kalman Hull line as dynamic structure reference on chart.
Use score deterioration to scale out before a full regime flip.
Use regime flips as confirmation for bias shifts rather than prediction.
Tuning guidelines
Measurement Noise
Higher: smoother filter, fewer false shifts, slower to adapt.
Lower: more responsive, more sensitive to microstructure noise.
Process Noise
Higher: adapts quicker to sudden changes, but can become twitchy.
Lower: steadier state estimate, but slower during sharp regime transitions.
A practical approach is to first tune measurement noise until the Kalman Hull line matches the “clean trend structure” you want, then adjust process noise to control how quickly it reacts when the regime genuinely changes.
Summary
Kalman Hull Trend Score transforms a Kalman-based Hull-style trend filter into a quantified persistence oscillator. By combining adaptive Kalman smoothing with low-lag Hull logic and a rolling comparison score, it provides a cleaner read on trend quality than basic moving averages or single-condition trend tools. It is best used as a regime filter, trend strength gauge, and structure-aware trade management layer.
Quality-Controlled Trend StrategyOverview
This strategy demonstrates a clean, execution-aware trend framework with fully isolated risk management.
Entry conditions and risk logic are intentionally separated so risk parameters can be adjusted without altering signal behavior.
All calculations are evaluated on confirmed bars to ensure backtest behavior reflects real-time execution.
Design intent
Many scripts mix entries and exits in ways that make results fragile or misleading.
This strategy focuses on structural clarity by enforcing:
confirmed-bar logic only
fixed and transparent risk handling
consistent indicator calculations
one position at a time
It is intended as a baseline framework rather than an optimized system.
Trading logic (high level)
Trend context
EMA 50 vs EMA 200 defines directional bias
Entry
Price alignment with EMA 50
RSI used as a momentum confirmation, not as an overbought/oversold signal
Risk management
Stop-loss based on ATR
Fixed risk–reward structure
Risk logic is isolated from entry logic
Editing risk without affecting signals
All stop-loss and take-profit calculations are handled in a dedicated block.
Users can adjust:
ATR length
stop-loss multiplier
risk–reward ratio
without modifying entry conditions.
This allows controlled experimentation while preserving signal integrity.
Usage notes
Results vary by market, timeframe, and volatility conditions.
This script is provided for testing and educational purposes and should be validated across multiple symbols and forward-tested before use in live environments.
