Rogue ORB PRORogue ORB Pro is a precision-engineered Opening Range Breakout (ORB) indicator built for active intraday traders who need real signals, not noise.
This tool identifies high-probability breakout entries from the opening range, enhanced with optional ATR-based stop loss levels, deviation targets, cooldown filters, and a relative volume gate to filter weak setups.
🔍 Key Features:
Opening Range High/Low: Drawn from a user-defined time window and locked for the day
Deviations: Automatically plots target zones above and below the OR range (e.g. 1, 2 deviations)
Pre-Market Levels: Automatically draws pre market high and low lines at the end of pre market session
Buy/Sell Signals: Triggered on breakout of the OR High/Low with configurable breakout logic (touch or close)
ATR Stop Loss Line: Dynamically drawn at a fixed ATR distance from breakout candle, with optional SL label
Cooldown Period: Prevents back-to-back signals by enforcing a user-defined bar delay between entries, can help with overtrading
Volume Filter: Optional relative volume filter that requires breakout candles to exceed a custom volume threshold
VWAP Overlay: Visual VWAP for directional bias and confluence
ATR
Vinicius Setup ATR//@version=5
strategy("Vinicius Setup ATR", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// ===== PARÂMETROS =====
atrLength = input.int(10, title="ATR Length")
factor = input.float(6.0, title="Multiplier", step=0.1)
riskValue = input.float(1.0, title="Risk Value")
rsiPeriod = input.int(14, title="RSI Period")
minBodySize = input.float(1.0, title="Mínimo Tamanho do Corpo %")
// ===== INDICADORES =====
= ta.supertrend(factor, atrLength)
rsi = ta.rsi(close, rsiPeriod)
avgVolume = ta.sma(volume, 20)
candleBody = math.abs(close - open)
isStrongCandle = candleBody > (ta.atr(atrLength) * minBodySize)
isHighVolume = volume > avgVolume * 1.2
// ===== ZONAS DE SUPORTE / RESISTÊNCIA (simples) =====
pivotHigh = ta.pivothigh(high, 5, 5)
pivotLow = ta.pivotlow(low, 5, 5)
plotshape(pivotHigh, title="Resistência", location=location.abovebar, color=color.red, style=shape.labeldown, text="RES")
plotshape(pivotLow, title="Suporte", location=location.belowbar, color=color.green, style=shape.labelup, text="SUP")
// ===== SINAL DE COMPRA =====
buySignal = direction == 1 and isStrongCandle and isHighVolume and rsi < 70
if buySignal
strategy.entry("Compra", strategy.long)
label.new(bar_index, low, "BUY", style=label.style_label_up, color=color.green, textcolor=color.white)
// ===== SINAL DE VENDA =====
sellSignal = direction == -1 and isStrongCandle and isHighVolume and rsi > 30
if sellSignal
strategy.entry("Venda", strategy.short)
label.new(bar_index, high, "SELL", style=label.style_label_down, color=color.red, textcolor=color.white)
// ===== SAÍDA =====
strategy.close("Compra", when = sellSignal)
strategy.close("Venda", when = buySignal)
[Stop!Loss] ADR Signal ADR Signal - a technical indicator based on the well-known ATR (Average True Range) indicator.
👉 What does this indicator do?
Firstly, this indicator tracks the standard ATR indicator on the daily chart, in other words, ADR (Average Daily Range) . Like ATR, ADR calculates the average true range for a specified period. In this case, the distance in points from the maximum of each day to the minimum is calculated, after which the arithmetic mean is calculated - this is ADR .
👉 Visualization:
ADR Signal is located in a separate window on the chart and has 3 levels :
1) ADR level - the same parameter, the calculations of which are briefly described above.
2) Current level - this is the current price passage within the day, calculated in points. At the start of a new day, this parameter is reset.
3) Signal level - this is an individually customized value that demonstrates a certain part of the ADR parameter.
👉 Settings "Arguments" and "Style":
1) Arguments:
-> - is responsible for the ATR indicator period, the value of which will always be calculated on the daily chart. The default value is "10", that is, ATR is calculated for the last 10 days (not including the current one).
-> - signal level (in %). The default value is "0.8", that is, 80% of the ADR parameter (set earlier) is calculated.
2) Style:
-> - by default, this level is colored "blue".
-> - by default, this level is colored "red".
-> - by default, this level is colored "green".
We will continue to discuss the method of using this indicator and strategies based on it here. All you need to do is support this idea 🚀 and leave a comment 💬.
TEMA OBOS Strategy PakunTEMA OBOS Strategy
Overview
This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering.
By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision.
This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts).
Strategy Objectives
Identify trend direction using TEMA
Use OBOS to filter out overbought/oversold conditions
Implement ATR-based dynamic risk management
Key Features
1. Trend Analysis Using TEMA
Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries.
ema4 acts as the primary trend filter.
2. Overbought/Oversold (OBOS) Filtering
Long Entry Condition: up > down (bullish trend confirmed)
Short Entry Condition: up < down (bearish trend confirmed)
Reduces unnecessary trades by filtering extreme market conditions.
3. ATR-Based Take Profit (TP) & Stop Loss (SL)
Adjustable ATR multiplier for TP/SL
Default settings:
TP = ATR × 5
SL = ATR × 2
Fully customizable risk parameters.
4. Customizable Parameters
TEMA Length (for trend calculation)
OBOS Length (for overbought/oversold detection)
Take Profit Multiplier
Stop Loss Multiplier
EMA Display (Enable/Disable TEMA lines)
Bar Color Change (Enable/Disable candle coloring)
Trading Rules
Long Entry (Buy Entry)
ema3 crosses above ema4 (Golden Cross)
OBOS indicator confirms up > down (bullish trend)
Execute a buy position
Short Entry (Sell Entry)
ema3 crosses below ema4 (Death Cross)
OBOS indicator confirms up < down (bearish trend)
Execute a sell position
Take Profit (TP)
Entry Price + (ATR × TP Multiplier) (Default: 5)
Stop Loss (SL)
Entry Price - (ATR × SL Multiplier) (Default: 2)
TP/SL settings are fully customizable to fine-tune risk management.
Risk Management Parameters
This strategy emphasizes proper position sizing and risk control to balance risk and return.
Trading Parameters & Considerations
Initial Account Balance: $7,000 (adjustable)
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 128
Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M
Total P&L：+1638.20USD
Max equity drawdown：694.78USD
Total trades：128
Profitable trades:44.53
Profit factor:1.45
These settings aim to protect capital while maintaining a balanced risk-reward approach.
Visual Support
TEMA Lines (Three EMAs)
Trend direction is indicated by color changes (Blue/Orange)
ema3 (short-term) and ema4 (long-term) crossover signals potential entries
OBOS Histogram
Green → Strong buying pressure
Red → Strong selling pressure
Blue → Possible trend reversal
Entry & Exit Markers
Blue Arrow → Long Entry Signal
Red Arrow → Short Entry Signal
Take Profit / Stop Loss levels displayed
Strategy Improvements & Uniqueness
This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management.
Enhanced Trend Identification with TEMA
Detects early trend reversals using ema3 & ema4 crossover
Reduces market noise for a smoother trend-following approach
Improved OBOS Filtering
Prevents excessive trading
Reduces unnecessary risk exposure
Dynamic Risk Management with ATR-Based TP/SL
Not a fixed value → TP/SL adjusts to market volatility
Fully customizable ATR multiplier settings
(Default: TP = ATR × 5, SL = ATR × 2)
Summary
The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators.
TEMA for trend identification
OBOS for noise reduction & overbought/oversold filtering
ATR-based TP/SL settings for dynamic risk management
Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
ATR Table - PipsPhantom - KhoursandDisplays a customizable table of ATR values across multiple timeframes (Live, 1m, 5m, 15m, 1H, 4H, 1D, 1W) with TP/SL levels.
Features:
- Adjustable table position (top/middle/bottom, left/center/right).
- Custom text colors for 5m and 1H timeframes.
- Supports Forex, Crypto, Gold, and Silver markets.
Usage: Adjust position, colors, and decimal precision in the settings.
ATR Label Value DisplayFor the last possible bars, this scripts adds a text label with padding to show the numerical value of ATR.
This can be used on strategies based on ATR.
KAMA ATR BandsEnhanced Trend Analysis with KAMA & ATR Bands!
Body:
Tired of choppy markets messing with your trend analysis? I've combined the power of Kaufman's Adaptive Moving Average (KAMA) with ATR bands in a new TradingView indicator!
This tool helps you:
Identify trends more smoothly: KAMA adapts to market noise, providing a clearer view.
Gauge volatility-based support/resistance: ATR bands around KAMA show potential price movement.
Customize your analysis:
Adjust KAMA parameters (ER length, fast/slow EMA)
Select price source for ATR (close, high, etc.)
Control ATR band width
Offset the bands relative to price action
Check out the code and try it on your charts! #TradingView #PineScript #KAMA #ATR #TechnicalAnalysis #trendanalysis #volatility #tradingstrategy #stockmarket #crypto
Visual suggestions:
A chart screenshot showcasing the KAMA line with the ATR bands around it, in a trending market.
A close-up highlighting how KAMA smooths the price action compared to a regular moving average.
A GIF demonstrating how the ATR bands widen during periods of high volatility and contract during low volatility.
ATR Bands Unlock Volatility Insights with ATR Bands Indicator
Ever wondered how market volatility can shape your trades?
The Average True Range (ATR) is a powerful tool, and I've created a TradingView indicator that makes it even easier to visualize.
This indicator plots ATR bands directly on your price chart, giving you a dynamic view of potential price movement.
Key features:
Customizable price source: Use close, high, low, HL2, HLC3, or OHLC4 prices.
Adjustable ATR multiplier: Control the width of the bands to suit your trading style.
Visual clarity: Clear upper and lower bands help identify potential support and resistance areas.
See the code here and give it a try! #TradingView #PineScript #TechnicalAnalysis #ATR #Volatility #tradingindicator #stockmarket #crypto #finance
Visual suggestions:
A chart screenshot showing the ATR bands on a popular stock or crypto chart.
A GIF demonstrating how the bands expand and contract with price volatility.
An image highlighting the key features of the indicator (customizable inputs, etc.).
FSH ATR MTF MonitorThe FSH ATR MTF Monitor tracks the Average True Range (ATR) and current range across six customizable timeframes, displaying the results in a table. When a timeframe’s range exceeds its ATR, the range value turns yellow, signaling heightened volatility. This multi-timeframe tool helps traders assess market conditions and plan entries or exits.
Key Features:
- Monitors ATR and range for up to six timeframes simultaneously.
- Customizable ATR length and timeframe inputs.
- Highlights ranges exceeding ATR in yellow for quick identification.
- Table display with toggle option for flexibility.
How to Use:
1. Add the indicator to your chart.
2. Adjust the ATR length and timeframes in the inputs as needed.
3. Watch for yellow range values to spot volatility spikes across timeframes.
4. Toggle the table off if not needed.
Ideal for scalpers, swing traders, or anyone analyzing volatility across multiple timeframes.
ATR Stop BufferThe ATR Stop Buffer indicator calculates the Daily Average True Range (ATR) and converts it into ticks based on the symbol's minimum price movement. It then displays the full ATR, 2% of ATR, and 10% of ATR in a clean table format, rounded up for simplicity. This tool is ideal for traders who want to set volatility-based stop-loss levels or buffers for their trades.
Key Features:
- Uses a 14-period Daily ATR for robust volatility measurement.
- Converts ATR into ticks for precise application across different instruments.
- Table display with toggle option for flexibility.
- Perfect for risk management and trade planning.
How to Use:
1. Add the indicator to your chart.
2. Use the table values to adjust your stop-loss distances (e.g., 2% ATR for tight stops, 10% ATR for wider buffers).
3. Toggle the table off if you only need the values occasionally.
Note: Works best on instruments with defined tick sizes (e.g., futures, forex, stocks).
Bode bot v15### 📌 Strategy Overview
**"Bode Bot v15"** is an advanced, multi-timeframe trend-following strategy built for use on TradingView. It leverages dynamic ATR-based risk management, directional filters using EMA and ADX, and optional support/resistance validation via VRVP. The strategy is designed for short-to-medium term trades with intelligent position scaling.
2h Time frame is the BEST
### ⚙️ Core Features
- Adaptive entries based on trend direction and strength
- Multi-timeframe support with user-defined settings
- Optional volume profile filtering for added precision
- Dynamic stop loss and take profit using volatility-based logic
- Break-even and trailing stop mechanisms
- Pyramiding enabled with control to avoid multiple entries per bar
### ✅ Built for Pine Script v6
- Compliant with all TradingView publishing guidelines
- Uses `request.security()` safely with `gaps=barmerge.gaps_on`
- Does not use `lookahead_on`
- Fully backtest-ready and repaint-free
### 📝 How to Use
- Apply to trending markets on your preferred timeframe (best one is 2h)
- Customize strategy parameters in the input panel
- Run backtests and tune settings for your asset of choice
### ⚠️ Disclaimer
This strategy is for educational purposes only. It does not constitute financial advice. Always backtest and use proper risk management before live trading.
Adaptive Fibonacci Pullback System -FibonacciFluxAdaptive Fibonacci Pullback System (AFPS) - FibonacciFlux
This work is licensed under a Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). Original concepts by FibonacciFlux.
Abstract
The Adaptive Fibonacci Pullback System (AFPS) presents a sophisticated, institutional-grade algorithmic strategy engineered for high-probability trend pullback entries. Developed by FibonacciFlux, AFPS uniquely integrates a proprietary Multi-Fibonacci Supertrend engine (0.618, 1.618, 2.618 ratios) for harmonic volatility assessment, an Adaptive Moving Average (AMA) Channel providing dynamic market context, and a synergistic Multi-Timeframe (MTF) filter suite (RSI, MACD, Volume). This strategy transcends simple indicator combinations through its strict, multi-stage confluence validation logic. Historical simulations suggest that specific MTF filter configurations can yield exceptional performance metrics, potentially achieving Profit Factors exceeding 2.6 , indicative of institutional-level potential, while maintaining controlled risk under realistic trading parameters (managed equity risk, commission, slippage).
4 hourly MTF filtering
1. Introduction: Elevating Pullback Trading with Adaptive Confluence
Traditional pullback strategies often struggle with noise, false signals, and adapting to changing market dynamics. AFPS addresses these challenges by introducing a novel framework grounded in Fibonacci principles and adaptive logic. Instead of relying on static levels or single confirmations, AFPS seeks high-probability pullback entries within established trends by validating signals through a rigorous confluence of:
Harmonic Volatility Context: Understanding the trend's stability and potential turning points using the unique Multi-Fibonacci Supertrend.
Adaptive Market Structure: Assessing the prevailing trend regime via the AMA Channel.
Multi-Dimensional Confirmation: Filtering signals with lower-timeframe Momentum (RSI), Trend Alignment (MACD), and Market Conviction (Volume) using the MTF suite.
The objective is to achieve superior signal quality and adaptability, moving beyond conventional pullback methodologies.
2. Core Methodology: Synergistic Integration
AFPS's effectiveness stems from the engineered synergy between its core components:
2.1. Multi-Fibonacci Supertrend Engine: Utilizes specific Fibonacci ratios (0.618, 1.618, 2.618) applied to ATR, creating a multi-layered volatility envelope potentially resonant with market harmonics. The averaged and EMA-smoothed result (`smoothed_supertrend`) provides a robust, dynamic trend baseline and context filter.
// Key Components: Multi-Fibonacci Supertrend & Smoothing
average_supertrend = (supertrend1 + supertrend2 + supertrend3) / 3
smoothed_supertrend = ta.ema(average_supertrend, st_smooth_length)
2.2. Adaptive Moving Average (AMA) Channel: Provides dynamic market context. The `ama_midline` serves as a key filter in the entry logic, confirming the broader trend bias relative to adaptive price action. Extended Fibonacci levels derived from the channel width offer potential dynamic S/R zones.
// Key Component: AMA Midline
ama_midline = (ama_high_band + ama_low_band) / 2
2.3. Multi-Timeframe (MTF) Filter Suite: An optional but powerful validation layer (RSI, MACD, Volume) assessed on a lower timeframe. Acts as a **validation cascade** – signals must pass all enabled filters simultaneously.
2.4. High-Confluence Entry Logic: The core innovation. A pullback entry requires a specific sequence and validation:
Price interaction with `average_supertrend` and recovery above/below `smoothed_supertrend`.
Price confirmation relative to the `ama_midline`.
Simultaneous validation by all enabled MTF filters.
// Simplified Long Entry Logic Example (incorporates key elements)
long_entry_condition = enable_long_positions and
(low < average_supertrend and close > smoothed_supertrend) and // Pullback & Recovery
(close > ama_midline and close > ama_midline) and // AMA Confirmation
(rsi_filter_long_ok and macd_filter_long_ok and volume_filter_ok) // MTF Validation
This strict, multi-stage confluence significantly elevates signal quality compared to simpler pullback approaches.
1hourly filtering
3. Realistic Implementation and Performance Potential
AFPS is designed for practical application, incorporating realistic defaults and highlighting performance potential with crucial context:
3.1. Realistic Default Strategy Settings:
The script includes responsible default parameters:
strategy('Adaptive Fibonacci Pullback System - FibonacciFlux', shorttitle = "AFPS", ...,
initial_capital = 10000, // Accessible capital
default_qty_type = strategy.percent_of_equity, // Equity-based risk
default_qty_value = 4, // Default 4% equity risk per initial trade
commission_type = strategy.commission.percent,
commission_value = 0.03, // Realistic commission
slippage = 2, // Realistic slippage
pyramiding = 2 // Limited pyramiding allowed
)
Note: The default 4% risk (`default_qty_value = 4`) requires careful user assessment and adjustment based on individual risk tolerance.
3.2. Historical Performance Insights & Institutional Potential:
Backtesting provides insights into historical behavior under specific conditions (always specify Asset/Timeframe/Dates when sharing results):
Default Performance Example: With defaults, historical tests might show characteristics like Overall PF ~1.38, Max DD ~1.16%, with potential Long/Short performance variance (e.g., Long PF 1.6+, Short PF < 1).
Optimized MTF Filter Performance: Crucially, historical simulations demonstrate that meticulous configuration of the MTF filters (particularly RSI and potentially others depending on market) can significantly enhance performance. Under specific, optimized MTF filter settings combined with appropriate risk management (e.g., 7.5% risk), historical tests have indicated the potential to achieve **Profit Factors exceeding 2.6**, alongside controlled drawdowns (e.g., ~1.32%). This level of performance, if consistently achievable (which requires ongoing adaptation), aligns with metrics often sought in institutional trading environments.
Disclaimer Reminder: These results are strictly historical simulations. Past performance does not guarantee future results. Achieving high performance requires careful parameter tuning, adaptation to changing markets, and robust risk management.
3.3. Emphasizing Risk Management:
Effective use of AFPS mandates active risk management. Utilize the built-in Stop Loss, Take Profit, and Trailing Stop features. The `pyramiding = 2` setting requires particularly diligent oversight. Do not rely solely on default settings.
4. Conclusion: Advancing Trend Pullback Strategies
The Adaptive Fibonacci Pullback System (AFPS) offers a sophisticated, theoretically grounded, and highly adaptable framework for identifying and executing high-probability trend pullback trades. Its unique blend of Fibonacci resonance, adaptive context, and multi-dimensional MTF filtering represents a significant advancement over conventional methods. While requiring thoughtful implementation and risk management, AFPS provides discerning traders with a powerful tool potentially capable of achieving institutional-level performance characteristics under optimized conditions.
Acknowledgments
Developed by FibonacciFlux. Inspired by principles of Fibonacci analysis, adaptive averaging, and multi-timeframe confirmation techniques explored within the trading community.
Disclaimer
Trading involves substantial risk. AFPS is an analytical tool, not a guarantee of profit. Past performance is not indicative of future results. Market conditions change. Users are solely responsible for their decisions and risk management. Thorough testing is essential. Deploy at your own considered risk.
Order Block Indicator | DTDHello trader comuunity!
I'm uploading a basic script that I felt necessary to make to help me with some gaps in my day trading. I personally am a visual trader that benefits greatly from automating some the ideas I have in my head. There are awesome builders out there and me creating this script isn't a knock on what's currently available to us, but something I wanted to be able to manage. I am opening up what I've found extremely helpful to my own trading to the community.
Here we have a very simple ATR-based order block (OB) finder. It's not anything original, but I do find consistent opportunities when combined with other tools I use to measure the market. It takes into consideration the previous 25 candles to determine if the OB is significant enough to mark. I use the average of 25 because I simply like it. I use the 25 EMA as part of my "trending" templates and find it to be a hybrid timeframe of sorts. You can find macro and micro trade locations by switching timeframes.
The main elements of the script are:
1. ATR based tracking | A bullish OB is defined as a down close candle that is eclipsed by an up-close candle that closes above its high and sustained for 2 consecutive candles. Inversely, a bearish OB is defined by an up-close candle immediately followed by a down-close candle that closes below the low of the up-close candle and sustains for 2 consecutive candles.
2. Coloring the OB | Though up-close and down-close define bearish and bullish levels, with this script I basically make OBs to switch colors based on where price is relative to the block. So a bullish block can become bearish and bearish can become bullish. Each block also has a dashed midpoint.
3. Order Block Mitigation | When price retests an OB by closing inside of it and retracing back out, that is considered mitigation. You will see price tap into it, but continues to track as a valid block, it's because it didn't close inside the block. This is subject to change in the future, but it's how the script functions for now.
______________
There are nuances to the script that you will see as you use it. Sometimes mitigated OBs act as levels to consider as well. When multiple blocks overlap I consider that a high traffic area. I would never suggest to use an indicator by itself for trade ideas, but blocks that align on multiple timeframes are good to consider.
At the end of the day it's a support and resistance measure. I'll comment an update with a snapshot of the indicator with another proprietary indicator I've made that provides ample intraday trading opportunities.
Cheers,
DTD
VIDYA Auto-Trading(Reversal Logic)Overview
This script is a dynamic trend-following strategy based on the Variable Index Dynamic Average (VIDYA). It adapts in real time to market volatility, aiming to enhance entry precision and optimize risk management.
⚠️ This strategy is intended for educational and research purposes. Past performance does not guarantee future results. All results are based on historical simulations using fixed parameters.
Strategy Objectives
The objective of this strategy is to respond swiftly to sudden price movements and trend reversals, providing consistent and reliable trade signals under historical testing conditions. It is designed to be intuitive and efficient for traders of all levels.
Key Features
Momentum Sensitivity via VIDYA: Reacts quickly to momentum shifts, allowing for accurate trend-following entries.
Volatility-Based ATR Bands: Automatically adjusts stop levels and entry conditions based on current market volatility.
Intuitive Trend Visualization: Uptrends are marked with green zones, and downtrends with red zones, giving traders clear visual guidance.
Trading Rules
Long Entry: Triggered when price crosses above the upper band. Any existing short position is closed.
Short Entry: Triggered when price crosses below the lower band. Any existing long position is closed.
Exit Conditions: Positions are reversed based on signal changes, using a position reversal strategy.
Risk Management Parameters
Market: ETHUSD(5M)
Account Size: $3,000 (reasonable approximation for individual traders)
Commission: 0.02%
Slippage: 2 pip
Risk per Trade: 5% of account equity (adjusted to comply with TradingView guidelines for realistic risk levels)
Number of Trades: 251 (based on backtest over the selected dataset)
⚠️ The risk per trade and other values can be customized. Users are encouraged to adapt these to their individual needs and broker conditions.
Trading Parameters & Considerations
VIDYA Length: 10
VIDYA Momentum: 20
Distance factor for upper/lower bands: 2
Source: close
Visual Support
Trend zones, entry points, and directional shifts are clearly plotted on the chart. These visual cues enhance the analytical experience and support faster decision-making.
Visual elements are designed to improve interpretability and are not intended as financial advice or trade signals.
Strategy Improvements & Uniqueness
Inspired by the public work of BigBeluga, this script evolves the original concept with meaningful enhancements. By combining VIDYA and ATR bands, it offers greater adaptability and practical value compared to conventional trend-following strategies.
This adaptation is original work and not a direct copy. Improvements are designed to enhance usability, risk control, and market responsiveness.
Summary
This strategy offers a responsive and adaptive approach to trend trading, built on momentum detection and volatility-adjusted risk management. It balances clarity, precision, and practicality—making it a powerful tool for traders seeking reliable trend signals.
⚠️ All results are based on historical data and are subject to change under different market conditions. This script does not guarantee profit and should be used with caution and proper risk management.
VICI Algo-V TableVICI Trading Solutions is proud to introduce another powerful tool from our internal trading process: ALGO V ATR Table.
This streamlined, data-rich table is designed to give traders quick and easy access to key support and resistance levels using Average True Range (ATR) data—without cluttering the chart. It’s a perfect complement to our previously released ALGO V indicator, which plots significant ATR-based levels directly on the chart. While that tool is highly effective, we understand that too much on the screen can overwhelm your workspace. That’s why we developed this clean, corner-based ATR Table —so you can stay focused on execution with clarity and confidence.
How It Works:
- The table displays critical ATR levels across multiple timeframes, helping you identify areas of potential support and resistance with precision.
- Each timeframe row is color-coded to reflect its current trend state:
- 🟩 Green – Price is above the cloud and trending up .
- 🟥 Red – Price is below the cloud and trending down .
- ⬜ Gray – Price is inside the cloud and in a neutral/indecisive zone.
- The number next to a gray level shows the price that must be broken to transition to a bullish or bearish trend.
This simple color system allows for immediate insight into market structure and directional bias across multiple timeframes—without second guessing or crowding your chart.
⚠️ Important Note: Due to how TradingView handles higher time frame data, this indicator is designed to function best when applied to a 5-minute or lower time frame. We recommend adding this to your execution chart for the most accurate and responsive data.
Recommended Use:
We suggest pairing this with the original ALGO V indicator to better understand how these levels behave, especially when they appear gray (neutral). This combination provides a full-spectrum view of trend strength, key zones, and potential breakouts .
Whether you’re a scalper, day trader, or swing trader, the ALGO V ATR Table will instantly add value to your trading workflow—offering clear, concise, and actionable insight at a glance.
Algo-V Indicator Can Be Found HERE:
Highest High Line with Multi-Timeframe Supertrend and RSIOverview:
This powerful indicator combines three essential elements for traders:
Highest High Line – Tracks the highest price over a customizable lookback period across different timeframes.
Multi-Timeframe Supertrend – Displays Supertrend values and trend directions for multiple timeframes simultaneously.
Relative Strength Index (RSI) – Shows RSI values across different timeframes for momentum analysis.
Features:
✅ Customizable Highest High Line:
Selectable timeframes: Daily, Weekly, Monthly, Quarterly, Yearly
Adjustable lookback period
✅ Multi-Timeframe Supertrend:
Supports 1min, 5min, 10min, 15min, 30min, 1H, Daily, Weekly, Monthly, Quarterly, Yearly
ATR-based calculation with configurable ATR period and multiplier
Identifies bullish (green) & bearish (red) trends
✅ Multi-Timeframe RSI:
Calculates RSI for the same timeframes as Supertrend
Overbought (≥70) and Oversold (≤30) signals with color coding
✅ Comprehensive Table Display:
A clean, structured table in the bottom-right corner
Displays Supertrend direction, value, and RSI for all timeframes
Helps traders quickly assess trend and momentum alignment
How to Use:
Use the Highest High Line to identify key resistance zones.
Confirm trend direction with Multi-Timeframe Supertrend.
Check RSI values to avoid overbought/oversold conditions before entering trades.
Align multiple timeframes for stronger confirmation of trend shifts.
Ideal For:
✅ Scalpers (lower timeframes: 1m–30m)
✅ Swing Traders (higher timeframes: 1H–D)
✅ Position Traders (Weekly, Monthly, Quarterly)
💡 Tip: Look for Supertrend & RSI confluence across multiple timeframes for higher probability setups.
Scalping Entry/Exit Indicator by DiGetImagine having a tool that not only spots high-probability entry signals but also visually marks them on your chart with color-coded cues and automated alerts. The Scalping Entry/Exit Indicator by DiGet does exactly that—by fusing a range of classic candlestick patterns (such as Bullish Hammers, Engulfing patterns, and Morning/Evening Stars) with dynamic risk management levels, this script empowers you to make swift and informed trading decisions. Whether you're an active trader or an algorithm enthusiast, this indicator offers both precision and clarity in identifying scalp opportunities, making your chart analysis more efficient and visually engaging.
Indicator Breakdown
Input Parameters:
The indicator accepts a customizable risk-reward ratio, an ATR period for volatility measurement, and a lookback period to scan for valid candlestick patterns.
ATR & Candle Calculations:
It computes the Average True Range (ATR) to dynamically set stop-loss and take-profit levels. Additionally, it determines the body and wick sizes of each candlestick to help identify key reversal patterns.
Pattern Detection:
Multiple bullish patterns (Hammer, Engulfing, Morning Star) and bearish patterns (Shooting Star, Engulfing, Evening Star) are detected. There’s also a simplified version of the Head & Shoulders pattern, offering further validation for reversal signals.
Signal Generation & Trade Levels:
The script consolidates the pattern signals into combined “buy” and “sell” triggers. It then calculates the respective stop-loss (SL) and take-profit (TP) levels based on the current price and ATR, providing a robust risk management framework.
Visual Aids & Alerts:
To enhance usability, the indicator changes the chart’s background color to green for buy signals and red for sell signals. It also draws labels, lines (representing SL and TP), and markers directly on the chart, along with alert conditions to notify traders of actionable signals.
This indicator is an excellent addition to your TradingView toolkit—ideal for scalpers and short-term traders seeking clarity, precision, and automated signal generation on their charts.
Enjoy trading with confidence and precision!
Adaptive Fibonacci Volatility Bands (AFVB)
**Adaptive Fibonacci Volatility Bands (AFVB)**
### **Overview**
The **Adaptive Fibonacci Volatility Bands (AFVB)** indicator enhances standard **Fibonacci retracement levels** by dynamically adjusting them based on market **volatility**. By incorporating **ATR (Average True Range) adjustments**, this indicator refines key **support and resistance zones**, helping traders identify **more reliable entry and exit points**.
**Key Features:**
- **ATR-based adaptive Fibonacci levels** that adjust to changing market volatility.
- **Buy and Sell signals** based on price interactions with dynamic support/resistance.
- **Toggleable confirmation filter** for refining trade signals.
- **Customizable color schemes** and alerts.
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## **How This Indicator Works**
The **AFVB** operates in three main steps:
### **1️⃣ Detecting Key Fibonacci Levels**
The script calculates **swing highs and swing lows** using a user-defined lookback period. From this, it derives **Fibonacci retracement levels**:
- **0% (High)**
- **23.6%**
- **38.2%**
- **50% (Mid-Level)**
- **61.8%**
- **78.6%**
- **100% (Low)**
### **2️⃣ Adjusting for Market Volatility**
Instead of using **fixed retracement levels**, this indicator incorporates an **ATR-based adjustment**:
- **Resistance levels** shift **upward** based on ATR.
- **Support levels** shift **downward** based on ATR.
- This makes levels more **responsive** to price action.
### **3️⃣ Generating Buy & Sell Signals**
AFVB provides **two types of signals** based on price interactions with key levels:
✔ **Buy Signal**:
Occurs when price **dips below** a support level (78.6% or 100%) and **then closes back above it**.
- **Optionally**, a confirmation buffer can be enabled to require price to close **above an additional threshold** (based on ATR).
✔ **Sell Signal**:
Triggered when price **breaks above a resistance level** (0% or 23.6%) and **then closes below it**.
📌 **Important:**
- The **buy threshold setting** allows traders to **fine-tune** entry conditions.
- Turning this setting **off** generates **more frequent** buy signals.
- Keeping it **on** reduces false signals but may result in **fewer trade opportunities**.
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## **How to Use This Indicator in Trading**
### 🔹 **Entry Strategy (Buying)**
1️⃣ Look for **buy signals** at the **78.6% or 100% Fibonacci levels**.
2️⃣ Ensure price **closes above** the support level before entering a long trade.
3️⃣ **Enable or disable** the buy threshold filter depending on desired trade strictness.
### 🔹 **Exit Strategy (Selling)**
1️⃣ Watch for **sell signals** at the **0% or 23.6% Fibonacci levels**.
2️⃣ If price **breaks above resistance and then closes below**, consider exiting long positions.
3️⃣ Can be used **alone** or **combined with trend confirmation tools** (e.g., moving averages, RSI).
### 🔹 **Using the Toggleable Buy Threshold**
- **ON**: Buy signal requires **extra confirmation** (reduces false signals but fewer trades).
- **OFF**: Buy triggers as soon as price **closes back above support** (more signals, but may include weaker setups).
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## **User Inputs**
### **🔧 Customization Options**
- **ATR Length**: Defines the period for **ATR calculation**.
- **Swing Lookback**: Determines how far back to find **swing highs and lows**.
- **ATR Multiplier**: Adjusts the size of **volatility-based modifications**.
- **Buy/Sell Threshold Factor**: Fine-tunes the **entry signal strictness**.
- **Show Level Labels**: Enables/disables **Fibonacci level annotations**.
- **Color Settings**: Customize **support/resistance colors**.
### **📢 Alerts**
AFVB includes built-in **alert conditions** for:
- **Buy Signals** ("AFVB BUY SIGNAL - Possible reversal at support")
- **Sell Signals** ("AFVB SELL SIGNAL - Possible reversal at resistance")
- **Any Signal Triggered** (Useful for automated alerts)
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## **Who Is This Indicator For?**
✅ **Scalpers & Day Traders** – Helps identify **short-term reversals**.
✅ **Swing Traders** – Useful for **buying dips** and **selling rallies**.
✅ **Trend Traders** – Can be combined with **momentum indicators** for confirmation.
**Best Timeframes:**
⏳ **15-minute, 1-hour, 4-hour, Daily charts** (works across multiple assets).
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## **Limitations & Considerations**
🚨 **Important Notes**:
- **No indicator guarantees profits**. Always **combine** it with **risk management strategies**.
- Works best **in trending & mean-reverting markets**—may generate false signals in **choppy conditions**.
- Performance may vary across **different assets & timeframes**.
📢 **Backtesting is recommended** before using it for live trading.
Supertrend with RSI FilterThis indicator is an enhanced version of the classic Supertrend, incorporating an RSI (Relative Strength Index) filter to refine trend signals. Here is a detailed explanation of its functionality and key advantages over the traditional Supertrend.
1. Indicator Functionality
The indicator uses ATR (Average True Range) to calculate the Supertrend line, just like the classic version. However, it introduces an additional condition based on RSI to strengthen or weaken the Supertrend color based on market momentum.
2. Interpretation of Colors
The indicator displays the Supertrend line with dynamic colors based on trend direction and RSI strength:
- Uptrend (Supertrend in buy mode):
- Dark green (Teal): RSI above the defined threshold (default 50) → Strong bullish confirmation.
- Light gray: RSI below the threshold → Indicates a weaker uptrend or lack of confirmation.
- Downtrend (Supertrend in sell mode):
- Dark red: RSI below the threshold → Strong bearish confirmation.
- Light gray: RSI above the threshold → Indicates a weaker downtrend or lack of confirmation.
The opacity of the color dynamically adjusts based on how far RSI is from its threshold. The greater the difference, the more vivid the color, signaling a stronger trend.
3. Key Advantages Over the Classic Supertrend
- Filters out false signals: The RSI integration helps reduce false signals by only validating trends when RSI aligns with the Supertrend direction.
- Weakens uncertain signals: When RSI is close to its threshold, the color becomes more transparent, alerting traders to a less reliable trend.
- Classic mode available: The 'Use Classic Supertrend' option allows switching to a standard Supertrend display (fixed red/green) without the RSI effect.
4. Customizable Parameters
- ATR Length & ATR Factor: Define the sensitivity of the Supertrend.
- RSI Period & RSI Threshold: Allow refining the RSI filter based on market volatility.
- Classic mode: Enables/disables the RSI filtering to revert to the original Supertrend.
This indicator is especially valuable for traders looking to refine their trend signals based on market momentum measured by RSI.
This indicator is for informational purposes only and should not be considered financial advice. Trading involves risks, and past performance does not guarantee future results. Always conduct your own analysis before making any trading decisions.
Advanced Momentum Scanner [QuantAlgo]Introducing the Advanced Momentum Scanner by QuantAlgo , a sophisticated technical indicator that leverages multiple EMA combinations, momentum metrics, and adaptive visualization techniques to provide deep insights into market trends and momentum shifts. It is particularly valuable for those looking to identify high-probability trading and investing opportunities based on trend changes and momentum shifts across any market and timeframe.
🟢 Technical Foundation
The Advanced Momentum Scanner utilizes sophisticated trend analysis techniques to identify market momentum and trend direction. The core strategy employs a multi-layered approach with four different EMA periods:
Ultra-Fast EMA for quick trend changes detection
Fast EMA for short-term trend analysis
Mid EMA for intermediate confirmation
Slow EMA for long-term trend identification
For momentum detection, the indicator implements a Rate of Change (RoC) calculation to measure price momentum over a specified period. It further enhances analysis by incorporating RSI readings, volatility measurements through ATR, and optional volume confirmation. When these elements align, the indicator generates various trading signals based on the selected sensitivity mode.
🟢 Key Features & Signals
1. Multi-Period Trend Identification
The indicator combines multiple EMAs of different lengths to provide comprehensive trend analysis within the same timeframe, displaying the information through color-coded visual elements on the chart.
When an uptrend is detected, chart elements are colored with the bullish theme color (default: green/teal).
Similarly, when a downtrend is detected, chart elements are colored with the bearish theme color (default: red).
During neutral or indecisive periods, chart elements are colored with a neutral gray color, providing clear visual distinction between trending and non-trending market conditions.
This visualization provides immediate insights into underlying trend direction without requiring separate indicators, helping traders and investors quickly identify the market's current state.
2. Trend Strength Information Panel
The trend panel operates in three different sensitivity modes (Conservative, Aggressive, and Balanced), each affecting how the indicator processes and displays market information.
The Conservative mode prioritizes signal reliability over frequency, showing only strong trend movements with high conviction levels.
The Aggressive mode detects early trend changes, providing more frequent signals but potentially more false positives.
The Balanced mode offers a middle ground with moderate signal frequency and reliability.
Regardless of the selected mode, the panel displays:
Current trend direction (UPTREND, DOWNTREND, or NEUTRAL)
Trend strength percentage (0-100%)
Early detection signals when applicable
The active sensitivity mode
This comprehensive approach helps traders and investors:
→ Assess the strength and reliability of current market trends
→ Identify early potential trend changes before full confirmation
→ Make more informed trading and investing decisions based on trend context
3. Customizable Visualization Settings
This indicator offers extensive visual customization options to suit different trading/investing styles and preferences:
Display options:
→ Fully customizable uptrend, downtrend, and neutral colors
→ Color-coded price bars showing trend direction
→ Dynamic gradient bands visualizing potential trend channels
→ Optional background coloring based on trend intensity
→ Adjustable transparency levels for all visual elements
These visualization settings can be fine-tuned through the indicator's interface, allowing traders and investors to create a personalized chart environment that emphasizes the most relevant information for their strategy.
The indicator also features a comprehensive alert system with notifications for:
New trend formations (uptrend, downtrend, neutral)
Early trend change signals
Momentum threshold crossovers
Other significant market conditions
Alerts can be delivered through TradingView's notification system, making it easy to stay informed of important market developments even when you are away from the charts.
🟢 Practical Usage Tips
→ Trend Analysis and Interpretation: The indicator visualizes trend direction and strength directly on the chart through color-coding and the information panel, allowing traders and investors to immediately identify the current market context. This information helps in assessing the potential for continuation or reversal.
→ Signal Generation Strategies: The indicator generates potential trading signals based on trend direction, momentum confirmation, and selected sensitivity mode. Users can choose between Conservative (fewer but more reliable signals), Balanced (moderate approach), or Aggressive (more frequent but potentially less reliable signals).
→ Multi-Period Trend Assessment: Through its layered EMA approach, the indicator enables users to understand trend conditions across different lookback periods within the same timeframe. This helps in identifying the dominant trend and potential turning points.
🟢 Pro Tips
Adjust EMA periods based on your timeframe:
→ Lower values for shorter timeframes and more frequent signals
→ Higher values for higher timeframes and more reliable signals
Fine-tune sensitivity mode based on your trading style:
→ "Conservative" for position trading/long-term investing and fewer false signals
→ "Balanced" for swing trading/medium-term investing with moderate signal frequency
→ "Aggressive" for scalping/day trading and catching early trend changes
Look for confluence between components:
→ Strong trend strength percentage and direction in the information panel
→ Overall market context aligning with the expected direction
Use for multiple trading approaches:
→ Trend following during strong momentum periods
→ Counter-trend trading at band extremes during overextension
→ Early trend change detection with sensitivity adjustments
→ Stop loss placement using dynamic bands
Combine with:
→ Volume indicators like the Volume Delta & Order Block Suite for additional confirmation
→ Support/resistance analysis for strategic entry/exit points
→ Multiple timeframe analysis for broader market context
Engulfing Candles (ATR-Based)This indicator detects Engulfing Patterns with an ATR-based filtering mechanism and trend confirmation. Unlike a basic engulfing pattern indicator that only checks if a current candle engulfs the previous one, this script incorporates trend detection using either the 50-period SMA alone or a combination of 50 and 200-period SMAs to ensure that signals align with the broader trend. The indicator identifies Bullish Engulfing patterns when a strong bullish candle engulfs a smaller bearish candle in a downtrend and Bearish Engulfing patterns when a strong bearish candle engulfs a smaller bullish candle in an uptrend. It also generates alerts and visually marks these patterns with labels ("BU" for bullish and "BE" for bearish) while highlighting the background accordingly.
What sets this indicator apart from a normal engulfing indicator is its ATR-based filtering system, which ensures that only significant engulfing candles are considered. Instead of accepting any engulfing pattern, the script measures candle body size relative to 1.5x ATR (configurable) to filter out weak signals. It also differentiates between long-bodied and small-bodied candles to confirm that the engulfing pattern represents real momentum shifts. This approach reduces false signals caused by small, insignificant candles and ensures that traders focus on high-probability reversal patterns. By integrating trend-based filtering and ATR-based confirmation, this indicator provides more reliable and context-aware engulfing signals than a standard engulfing pattern detector.
Daily ATR %Input parameters:
Number of bars for ATR (Y) - the number of bars to calculate the average ATR
Number of bars for median ATR (X) - the number of bars to calculate the median ATR, should be >= Number of bars for ATR
Stop ATK share in % - to calculate Stop Loss in % of ATR
Calculate the passed ATR from the previous day close - calculation of the passed ATR from:
True = closing prices of the previous day
False = from High/Low of the current day
The script calculates several parameters:
Decimal - the number of digits after the fractional part of the price
Close % - how much the previous day closed as a percentage of High/Low
Median - the median value for the X previous bars.
ATR is the average value for Y bars
C_ATR - passed ATR for the current day
C_ATR% - passed ATR in % excellent calculated
Stop - the calculated size of the Stop Loss from ATR
THE LOGIC OF CALCULATING THE ATR (the bar of the trading day is not taken into account):
1. Calculate the Median ATR for X previous bars.
2. We calculate the ATR for Y of the previous bars,
taking only those bars that fulfill the condition:
Median ATR * 50% < N < Median ATR * 200%
, i.e. we do not take into account bars that are less than the Median ATR by 2 times, and bars that are more than the Median ATR by 2 times
MTF ATR BandsA simple but effective MTF ATR bands indicator.
The script calculate and display ATR bands low and high of the current timeframe using high, low inputs and an RMA moving average, adding to it ATR of the period multiplied with the user multiplier, default is set to 1.5.
Than is calculated a smoothed average of the range and the color of it based on its slope, same color is used to fill the atr bands.
Than the higher timeframe bands are calculated and displayed on the chart.
How can be used ?
The higher timeframe average and bands can give you long term direction of the trend and the current timeframes moving average and filling short term trend, for example using the 15 min chart with a 4h HTF bands, or an 1h with a daily, or a daily with an weekly or weekly with bi-monthly atr bands.
Also can be used as a stop loss indicator.
Hope you will like it, any question send me a PM.
CAM| Bar volatility and statsCAPRICORN ASSETS MANAGEMENT
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CAM | Bar Volatility and Stats Indicator
The CAM | Bar Volatility and Stats indicator is designed to track historical price movements, analyzing bar volatility and key statistical trends in financial instruments. By evaluating past bars, it provides insights into market dynamics, helping traders assess volatility, trend strength, and momentum patterns.
Key Features & Functionality:
✅ Volatility Analysis – Measures historical volatility by calculating the average price range per bar and displaying it in pips.
✅ Bull & Bear Bar Statistics – Tracks the number of bullish and bearish bars within a given lookback period, including their respective percentages.
✅ Consecutive Bar Sequences – Identifies and records the longest streaks of consecutive bullish or bearish bars, providing insights into market trends.
✅ Average Volatility by Trend – Computes separate volatility values for bullish and bearish bars, helping traders understand trend-based price behavior.
✅ Real-Time Labeling – Displays a live statistics summary directly on the chart, updating dynamically with each new bar.
Benefits for Traders:
📊 Enhanced Market Insight – Quickly assess market conditions, determining whether volatility is increasing or decreasing.
📈 Trend Strength Identification – Identify strong bullish or bearish sequences to improve trade timing and strategy development.
⏳ Better Risk Management – Use historical volatility metrics to fine-tune stop-loss and take-profit levels.
🛠 Customizable Analysis – Adjustable lookback period and display options allow traders to focus on the data that matters most.
This indicator is an essential tool for traders looking to refine their decision-making process by leveraging volatility-based statistics. Whether trading Forex, stocks, or commodities, it provides valuable insights into price action trends and market conditions.
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