Oculus Ultra Parallel S/R Channel**Oculus Ultra Parallel S/R Channel**
*Version 1.0 | Pine Script v6*
**Overview**
This indicator overlays a statistically-driven support/resistance channel on your chart by fitting a linear regression (median) line and plotting parallel bands at a configurable multiple of standard deviation. It adapts dynamically to both trend and volatility, highlights potential reaction zones, and offers optional alerts when price touches key levels.
**Key Features**
* **Median Regression Line**
Fits a best-fit line through the chosen lookback of price data, showing the underlying trend.
* **Volatility-Based Bands**
Upper and lower bands offset by *N*× standard deviation of regression residuals, capturing dynamic S/R zones.
* **Dynamic Coloring**
* Median line turns **teal** when sloping up, **orange** when sloping down.
* Bands tinted green or red depending on their position relative to the median.
* **Channel Fill**
Optional shaded area between the bands for immediate visual context.
* **Touch Alerts**
Precision alerts and on-chart markers when price touches the support or resistance band, with configurable tick tolerance.
* **Clean Layout**
Minimal lines and plots to avoid chart clutter, adjustable via toggle inputs.
**How to Use**
1. **Apply the Script** – Add to any timeframe in overlay mode.
2. **Configure Inputs** –
* **Channel Length**: Number of bars for regression and volatility calculation.
* **Deviation Factor**: Multiplier for band width (in standard deviations).
* **Show/Hide Elements**: Toggle median line, bands, fill, and touch alerts.
* **Color by Slope**: Enable slope-based median coloring.
* **Touch Tolerance**: Number of ticks within which a band touch is registered.
3. **Interpret the Channel** –
* **Trend**: Follow the slope and color of the median line.
* **Support/Resistance**: Bands represent dynamic zones where price often reacts.
* **Alerts**: Use touch markers or alert pop-ups to time entries or exits at band levels.
**Inputs**
* **Channel Length** (default: 100)
* **Deviation Factor** (default: 1.0)
* **Show Median Regression Line** (true/false)
* **Show Channel Bands** (true/false)
* **Fill Between Bands** (true/false)
* **Color Median by Slope** (true/false)
* **Alert on Band Touch** (true/false)
* **Touch Tolerance (ticks)** (default: 2)
**Version History**
* **1.0** – Initial release with dynamic regression channel, slope coloring, band fill, and touch alerts.
**Disclaimer**
This indicator is intended for educational purposes. Always backtest with your own settings and apply sound risk management before trading live.
Göstergeler ve stratejiler
EMAJAYmultiple ema to set on the chart. easy to save on one indicator. able to be use for light account subs.
Mercury System 200 MAs200-period SMA & EMA on multiple timeframes, as per TraderMercury's trading system.
Created by Zeta.
- 15m, 30m, 1h, 2h, 4h, 6h, 12h, 1D, 2D, 1W
HOW TO USE:
Use the checkboxes in the Inputs tab to toggle visibility for each timeframe.
- Do not use the Style tab to hide lines — this will only remove one of the two (SMA or EMA).
- Use the Style tab to adjust colours/transparency only.
TIP:
For a cleaner look, go to the Style tab and uncheck “Values in Status Line.”
Easy Move & Squeeze Alerts1. Overview
The Easy Move & Squeeze Alerts indicator combines two proven techniques to help you anticipate major price swings and spot volatility compressions (long/short squeezes) early on. It offers:
Automated Alerts via TradingView’s alert engine
On-chart Visual Cues for immediate context
Flexible Inputs to fine-tune sensitivity, lookback length, and display options
2. TTM Squeeze (Volatility Compression)
Core Concept: Compares Bollinger Bands (standard deviation channels) with Keltner Channels (ATR-based channels).
Squeeze On: BBs lie completely inside Keltner Channels → volatility is compressed, signaling a potential buildup.
Squeeze Off: BBs break outside Keltner Channels → typically the start of a strong directional move.
Alert: When the squeeze releases, the indicator fires an alert:
💥 Squeeze Release – Volatility incoming!
Chart Label: A small, purple “🔒 Squeeze” label appears above the high of each bar while compression persists, giving you a real-time visual flag.
3. ATR Breakouts (Detecting Large Moves)
Core Concept: Builds a dynamic price channel around an EMA using ATR (Average True Range) multiplied by your chosen factor.
Cross Events:
Price crosses above the upper ATR band → potential bullish breakout.
Price crosses below the lower ATR band → potential bearish breakdown.
Alert Conditions: Separate alert triggers for “🚀 Move Up” and “📉 Move Down” fire the moment the close breaches the ATR-based bounds.
4. Visualization & Usage
Channel Plots:
Bollinger Bands in blue
Keltner Channels in orange
ATR Channels in aqua (optional)
Toggle all channel plots on or off with the showZones input.
Background Highlight: During a squeeze, the chart background lightly tints purple for quick visual confirmation.
Alerts Setup:
Simply click Create Alert in TradingView, select this indicator, and choose the event(s) you want (squeeze release, ATR breakouts).
You can route notifications via email, webhook, SMS, or platform pop-ups.
5. Deployment & Customization
Timeframes: Effective across all timeframes; most popular for day- and swing-trading.
Parameter Tuning:
Increase the len value to smooth channels and focus on only the most significant compressions/moves.
Adjust the ATR or BB multipliers to make alerts more or less sensitive.
With this indicator, you gain a clear, actionable framework for spotting both volatility squeezes and breakouts before they unfold—empowering you to enter trades ahead of the crowd. Enjoy customizing and putting it to work!
Algorithmic Candle Finder {Darkoexe}Algorithmic Candle Finder Indicator
Algorithmic candles are candles whose size and direction are significantly influenced by institutions or large players using market algorithms. These entities can move large amounts of capital in or out of the market, creating price moves that are often difficult for retail traders to predict or react to.
This can make short-term retail trading risky and inconsistent, especially when unaware of such institutional activity. The goal of this indicator is to help identify such candles, allowing traders to avoid trading during times of potential algorithmic influence.
Detection Criteria:
A candle is marked as algorithmic if either of the following conditions are met:
Size-Based Detection: If the current candle’s size exceeds the Average True Range (ATR) of the previous candle multiplied by the ATR factor input.
Volume-Based Detection: If the current candle’s volume exceeds the average volume of recent candles (e.g., last N candles) multiplied by the volume factor input.
When a candle is deemed algorithmic, a label saying "Algo!!!!!" will appear on the chart above the candle where the condition occurred.
Usage:
Use this indicator to study which times of day algorithmic candles frequently appear. This can help you adjust your strategy to avoid trading during these unpredictable moments.
Analogy:
Think of the market like the game Agar.io: small players (retail traders) collect small pellets to grow, while larger players (institutions) devour smaller ones. The small players must avoid the big ones to survive. Likewise, in trading, retail traders should aim to avoid high-impact algorithmic activity that could “consume” their trades.
Sesiuni Tranzactionare - Strategia TIThis indicator automatically draws vertical lines on the chart at the key trading session times in the Bucharest time zone (HOD/LOD, market open, NY Open, lunch break, and end of day). For each group of lines you can toggle their visibility with a checkbox and customize their color, style (solid, dotted, dashed), and thickness. You can also set the time-zone offset and choose whether the lines extend into the future so they stay visible beyond the current day.
ATR Keltner Channels [iryna]Hello!
I’m excited to share my custom ATR Keltner Channel script, built around a 21-period EMA and ATR-based volatility bands. I am using this tool myself for watching price behavior, any pullbacks or breakouts, and to visualize dynamic support and resistance.
How it works:
• The centerline is a 21-day Exponential Moving Average (EMA), giving you a smooth sense of the trend.
• The upper and lower bands are calculated using Average True Range (ATR), so they expand and contract based on volatility.
• The upper and lower bands are x1ATR, x2ATR, x3ATR.
All my knowledge comes from SpikeTrade community, where I am learning from Kerry Lovvorn and Alexander Elder.
Let me know if you have any suggestions to improve or update!
Have a fruitful trading session!
- Iryna
Previous Day High/LowPrevious day high and low liquidity tracker. It is used to set up sweep and mean reversion trades.
ATR-Normalized SMA Relative Strength vs Benchmark (20/40/60)Compares the relative strength of a asset vs the index using SMAs on a 20,40,60 day basis and compares trend strength. Adjusted by ATR to fairly compare assets with varied volatility. All periods are equally weighted at 1/3rd of calculation. Use to identify over/under preforming stock in the S&P500. A measurement of +1 means a stock is 1 ATR above the index, or out preforming by 1 full daily candle range.
ADR Pivot LevelsThe ADR (Average Daily Range) indicator shows the average range of price movement over a trading day. The ADR is used to estimate volatility and to determine target levels. It helps to set Take-Profit and Stop-Loss orders. It is suitable for intraday trading on lower time frames.
The “ADR Pivot Levels” produces a sequence of horizontal line levels above and below the Center Line (reference level). They are sized based on the instrument's volatility, representing the average historical price movement on a selected higher timeframe using the average daily range (ADR) indicator.
Level Visionsegnale prezzi psicologici, specialmente per oro, ma puo essere usato anche per altre coppie!
BSL & SSL - Liquidity Zones
BSL & SSL - Liquidity Zones
Indicator Description (for TradingView)
Concept
The BSL & SSL - Liquidity Zones indicator is a simple yet powerful visual tool that helps traders identify key liquidity zones in the market by tracking prominent highs and lows on the chart.
It is based on the concept that the Highest High (Buy Side Liquidity - BSL) and Lowest Low (Sell Side Liquidity - SSL) represent zones where stop-loss orders and pending orders accumulate — often attracting future price movements.
Purpose
This indicator helps traders spot hidden liquidity levels which may act as targets or potential reversal points. It is especially useful for traders who apply Smart Money Concepts (SMC) or institutional trading models.
Great for detecting potential stop hunts and understanding market structure shifts.
How It Works
The indicator calculates the Highest High and Lowest Low over a user-defined period (default: 20 candles).
When a new Higher High forms, it marks a new BSL.
When a new Lower Low forms, it marks a new SSL.
These zones are likely to attract price in the future — either as targets or traps.
Visualization
The indicator draws static horizontal lines (Stepline style) at BSL and SSL levels.
These lines remain in place until broken or a new level is formed.
Visual Labels enhance clarity:
🟢 Green Label → BSL
🔴 Red Label → SSL
Trading Insights / Practical Use
When price approaches a BSL or SSL zone, ask yourself:
✅ Will price break the level to grab liquidity?
✅ Will there be a reversal after liquidity is taken?
The indicator does not provide signals by itself — it serves as a valuable confirmation tool when combined with:
Price Action
Support & Resistance
Momentum Indicators
SMC Tools
Key Benefits
✅ Easy to use
✅ Enhances liquidity analysis
✅ Highlights zones targeted by institutional players
✅ Simple calculation — no complex formulas
Limitations
🚫 Does NOT generate buy/sell signals
🚫 Should be used as part of a complete trading framework
Conclusion
BSL & SSL - Liquidity Zones is a versatile and intuitive tool for any trader looking to better understand where liquidity is positioned on the chart.
It works across all timeframes and complements any trading strategy, especially Smart Money-based approaches.
CHoCH + BOS Detector (con líneas)este indicador sirve para simplificar las entrada scalper en el oro
Stock Fibonacci Signal (v6)📊 Stock Fibonacci Signal (v6) – Dual Moving Average Cross Alerts
Description:
The Stock Fibonacci Signal (v6) is a powerful yet flexible crossover indicator built for traders who want clarity in trend shifts without the complexity of full strategy automation.
This tool uses two fully customizable moving averages — defaulted to 5 and 13 periods (Fibonacci-related) — to detect Buy/Sell signals when a crossover occurs. Designed for stocks, ETFs, and crypto assets, the script also includes support for alerts and clean visual markers on the chart.
🔧 Key Features:
✅ Crossover-Based Signal System
Buy signal when the fast MA crosses above the slow MA
Sell signal when the fast MA crosses below the slow MA
✅ Customizable Moving Averages
Choose between SMA, EMA, SMMA (RMA), WMA, VWMA for each line independently.
✅ Signal Labels on Chart
Buy and Sell signals are clearly marked with colored labels above/below the bars.
✅ Built-in Alerts
Compatible with TradingView alerts for real-time notifications when signals occur.
✅ Overlay Design
Clean and lightweight, ideal for intraday and daily chart setups.
How to Use:
Use default 5 & 13 periods for Fibonacci-style swing trading
Combine with volume, RSI, or support/resistance levels for confluence
Works well on all timeframes, especially 15m / 1H / Daily
🧠 This script is intended for signal-only traders who don’t want automatic entries/strategy execution but still want strong visual and alert-based guidance.
For advanced PRO versions with confirmation filters, volume analysis, or multi-timeframe alignment — contact the author.
Cryptocurrency Fibonacci SignalCryptocurrency Fibonacci Signal by Kriptomist
Description:
This indicator provides smart Buy and Sell signals based on Fibonacci retracement levels, specifically tailored for the high-volatility nature of cryptocurrency markets.
It automatically detects key Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786) and generates entry/exit signals when price action confirms reversal or breakout behavior around those zones.
Core Features:
🔹 Auto Fibonacci Detection
No need to draw manually — the indicator adapts to recent swing highs and lows and adjusts levels dynamically.
🔹 Buy/Sell Signals
Smart logic to detect reversal candlesticks and momentum confirmation near Fibonacci levels.
🔹 Multi-Timeframe Compatible
Works seamlessly on all timeframes (scalp to daily) and with all crypto assets including BTC, ETH, and altcoins.
🔹 Signal Alerts Ready
You can set up TradingView alerts for buy/sell signals for 24/7 monitoring.
🔹 Clean Visuals
Minimalist design with colored signals and level lines for clear decision-making.
Use Cases:
Identify low-risk entry points during pullbacks
Ride breakouts from key Fibonacci levels
Spot reversals on high-probability retracement zones
Combine with RSI, MACD, or EMAs for confluence strategies
How it works:
The script identifies the latest swing high and low
Plots Fibonacci levels accordingly
Generates Buy signals on bullish confirmation near 0.5/0.618 retracement
Generates Sell signals near resistance zones or on trend exhaustion
⚠️ Always backtest before live trading. This tool is for educational and analytical purposes.
For access to PRO settings, private signal groups, or one-on-one setup support, contact the script author.
Fibonacci Retracement Buy/Sell Signal by KriptomistFibonacci Retracement Buy/Sell Signal by Kriptomist
This indicator identifies potential buy and sell opportunities based on Fibonacci retracement levels. It calculates significant Fibonacci retracement levels (38.2% and 61.8%) over a customizable lookback period.
How it works:
Buy Signal: Triggered when the price crosses above the 61.8% Fibonacci retracement level, indicating potential bullish momentum.
Sell Signal: Triggered when the price crosses below the 38.2% Fibonacci retracement level, suggesting possible bearish momentum.
The signals are clearly marked on your chart with visual shapes for ease of use. Additionally, alerts can be set to notify you immediately when signals occur.
Features:
Customizable lookback period.
Clear visual representation of key Fibonacci levels.
Easy-to-follow Buy/Sell visual signals.
Alert conditions for timely notifications.
Developed by Kriptomist for traders seeking clarity and precision in their Fibonacci-based trading strategies.
Stochastic RSI by RohitThe "Stochastic RSI by Rohit Gupta" indicator aims to provide a Stochastic RSI with smoothed %K and %D lines and an additional line for their difference.
Candle Overlap DegreeThis indicator gives the ratio of max(0, min High - max Low) to (max High - min Low) over n-day.
Letzte Open Rays (18:00, 00:00, 10:00 UTC-4)super diese gute opening ray, opening rays bei den 10,18 und 0 open nur die letzten möglichen
TitanGrid L/S SuperEngineTitanGrid L/S SuperEngine
Experimental Trend-Aligned Grid Signal Engine for Long & Short Execution
🔹 Overview
TitanGrid is an advanced, real-time signal engine built around a tactical grid structure.
It manages Long and Short trades using trend-aligned entries, layered scaling, and partial exits.
Unlike traditional strategy() -based scripts, TitanGrid runs as an indicator() , but includes its own full internal simulation engine.
This allows it to track capital, equity, PnL, risk exposure, and trade performance bar-by-bar — effectively simulating a custom backtest, while remaining compatible with real-time alert-based execution systems.
The concept was born from the fusion of two prior systems:
Assassin’s Grid (grid-based execution and structure) + Super 8 (trend-filtering, smart capital logic), both developed under the AssassinsGrid framework.
🔹 Disclaimer
This is an experimental tool intended for research, testing, and educational use.
It does not provide guaranteed outcomes and should not be interpreted as financial advice.
Use with demo or simulated accounts before considering live deployment.
🔹 Execution Logic
Trend direction is filtered through a custom SuperTrend engine. Once confirmed:
• Long entries trigger on pullbacks, exiting progressively as price moves up
• Short entries trigger on rallies, exiting as price declines
Grid levels are spaced by configurable percentage width, and entries scale dynamically.
🔹 Stop Loss Mechanism
TitanGrid uses a dual-layer stop system:
• A static stop per entry, placed at a fixed percentage distance matching the grid width
• A trend reversal exit that closes the entire position if price crosses the SuperTrend in the opposite direction
Stops are triggered once per cycle, ensuring predictable and capital-aware behavior.
🔹 Key Features
• Dual-side grid logic (Long-only, Short-only, or Both)
• SuperTrend filtering to enforce directional bias
• Adjustable grid spacing, scaling, and sizing
• Static and dynamic stop-loss logic
• Partial exits and reset conditions
• Webhook-ready alerts (browser-based automation compatible)
• Internal simulation of equity, PnL, fees, and liquidation levels
• Real-time dashboard for full transparency
🔹 Best Use Cases
TitanGrid performs best in structured or mean-reverting environments.
It is especially well-suited to assets with the behavioral profile of ETH — reactive, trend-intraday, and prone to clean pullback formations.
While adaptable to multiple timeframes, it shows strongest performance on the 15-minute chart , offering a balance of signal frequency and directional clarity.
🔹 License
Published under the Mozilla Public License 2.0 .
You are free to study, adapt, and extend this script.
🔹 Panel Reference
The real-time dashboard displays performance metrics, capital state, and position behavior:
• Asset Type – Automatically detects the instrument class (e.g., Crypto, Stock, Forex) from symbol metadata
• Equity – Total simulated capital: realized PnL + floating PnL + remaining cash
• Available Cash – Capital not currently allocated to any position
• Used Margin – Capital locked in open trades, based on position size and leverage
• Net Profit – Realized gain/loss after commissions and fees
• Raw Net Profit – Gross result before trading costs
• Floating PnL – Unrealized profit or loss from active positions
• ROI – Return on initial capital, including realized and floating PnL. Leverage directly impacts this metric, amplifying both gains and losses relative to account size.
• Long/Short Size & Avg Price – Open position sizes and volume-weighted average entry prices
• Leverage & Liquidation – Simulated effective leverage and projected liquidation level
• Hold – Best-performing hold side (Long or Short) over the session
• Hold Efficiency – Performance efficiency during holding phases, relative to capital used
• Profit Factor – Ratio of gross profits to gross losses (realized)
• Payoff Ratio – Average profit per win / average loss per loss
• Win Rate – Percent of profitable closes (including partial exits)
• Expectancy – Net average result per closed trade
• Max Drawdown – Largest recorded drop in equity during the session
• Commission Paid – Simulated trading costs: maker, taker, funding
• Long / Short Trades – Count of entry signals per side
• Time Trading – Number of bars spent in active positions
• Volume / Month – Extrapolated 30-day trading volume estimate
• Min Capital – Lowest equity level recorded during the session
🔹 Reference Ranges by Strategy Type
Use the following metrics as reference depending on the trading style:
Grid / Mean Reversion
• Profit Factor: 1.2 – 2.0
• Payoff Ratio: 0.5 – 1.2
• Win Rate: 50% – 70% (based on partial exits)
• Expectancy: 0.05% – 0.25%
• Drawdown: Moderate to high
• Commission Impact: High
Trend-Following
• Profit Factor: 1.5 – 3.0
• Payoff Ratio: 1.5 – 3.5
• Win Rate: 30% – 50%
• Expectancy: 0.3% – 1.0%
• Drawdown: Low to moderate
Scalping / High-Frequency
• Profit Factor: 1.1 – 1.6
• Payoff Ratio: 0.3 – 0.8
• Win Rate: 80% – 95%
• Expectancy: 0.01% – 0.05%
• Volume / Month: Very high
Breakout Strategies
• Profit Factor: 1.4 – 2.2
• Payoff Ratio: 1.2 – 2.0
• Win Rate: 35% – 60%
• Expectancy: 0.2% – 0.6%
• Drawdown: Can be sharp after failed breakouts
🔹 Note on Performance Simulation
TitanGrid includes internal accounting of fees, slippage, and funding costs.
While its logic is designed for precision and capital efficiency, performance is naturally affected by exchange commissions.
In frictionless environments (e.g., zero-fee simulation), its high-frequency logic could — in theory — extract substantial micro-edges from the market.
However, real-world conditions introduce limits, and all results should be interpreted accordingly.
Moving Average Convergence Divergence*SMA Trend Strategy with Re-Entry Signal (v6 Edition)*
This indicator is based on a classic moving average trend-following system, enhanced with re-entry signals designed for medium to short-term traders.
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### 📈 Key Features:
1. *Trend Detection Logic:*
- The 30-period SMA (SMA30) is used as the trend filter.
- When the closing price is above the SMA30, the market is considered to be in an uptrend.
2. *Re-Entry Signal:*
- While in an uptrend, if the closing price crosses above the SMA20, a re-entry (add position) signal is triggered.
- These signals are shown with green upward arrows below the bars.
3. *Background Highlighting:*
- Green background: indicates an uptrend.
- Red background: indicates a break below SMA30, suggesting weakening momentum.
4. *Multi-SMA Visualization:*
- Five SMAs are displayed: SMA10, SMA20, SMA30, SMA60, and SMA250.
- This helps visualize both short-term and long-term trend structures.
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### 🔍 Usage Tips:
- Use this script directly on your main chart to monitor trend direction and wait for re-entry signals during pullbacks.
- Combine with other tools like volume, price action, or candlestick patterns to confirm entries.
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### ⚠️ Disclaimer:
- This indicator is for educational and informational purposes only. It does not constitute financial advice or a buy/sell signal.
- Avoid relying solely on this script for trading decisions. Always manage your own risk.
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👨💻 *Developer’s Note:*
This script is 100% manually developed, not copied or auto-generated. It is an original implementation based on my personal trading logic. Suggestions and feedback are welcome!