EMA Clouds mit VWAPs (Trendfilter)EMA Clouds with VWAPs (Trend Filter)
This indicator combines Exponential Moving Averages (EMAs) with Volume Weighted Average Prices (VWAPs) for the month and year to determine the current market trend and provide key support and resistance zones for potential entry points.
Key Features:
Fast and slow EMA Clouds to identify market trends.
Monthly and Yearly VWAPs to support trend analysis and identify significant support and resistance zones.
Trend Filter: Long trades are executed when the price is above the slow EMA (bullish trend), and short trades are executed when the price is below the slow EMA (bearish trend).
How it Works:
EMAs serve as the primary trend filter to determine if the market is in an uptrend or downtrend.
VWAPs for the month and year help analyze long-term price movements.
The trend filter identifies the market direction and signals potential entry and exit points.
Customization:
You can adjust the timeframes for the VWAPs and EMAs, as well as the line thickness for the plots.
The display options for the VWAPs and EMAs can be toggled on or off as needed.
Bandas e Canais
Dynamic RSI Regression Bands (Zeiierman)█ Overview
The Dynamic RSI Regression Bands (Zeiierman) is a regression channel tool that dynamically resets based on RSI overbought and oversold conditions. It adapts to trend shifts in real time, creating a highly responsive regression framework that visualizes market sentiment and directional momentum with every RSI-triggered event.
Unlike static regression models, this indicator recalibrates its slope and deviation bands only after the RSI crosses predefined thresholds, helping traders pinpoint new phases of momentum, exhaustion, or reversal.
You’re not just measuring the trend — you’re tracking when and where the trend deserves to be re-evaluated.
█ The Assumption:
"A major momentum shift (RSI crossing OB/OS) signals a potential regime change, and thus, the trend model should be recalibrated from that point."
Instead of using a fixed-length regression (which assumes trend relevance over a static window), this script resets the regression calculation every time RSI crosses into extreme territory. The underlying idea is that extreme RSI levels often represent emotional peaks in market behavior and are statistically likely to be followed by a new price structure.
█ How It Works
⚪ RSI-Based Channel Reset
RSI is monitored continuously
If RSI crosses above the Overbought level, the indicator resets and starts a new regression channel
If RSI crosses below the Oversold level, the same reset logic applies
These events act as “anchor points” for dynamic trend analysis
⚪ Regression Channel Logic
A custom linear regression is calculated from the RSI reset point forward
The lookback grows with each bar after the reset, up to a user-defined max
Regression lines are drawn from the reset point to the current bar
⚪ Standard Deviation Bands
Upper and lower bands are plotted around the regression line using the standard deviation
These serve as dynamic volatility envelopes, great for spotting breakouts or reversals
⚪ Rejection Markers
If price hits the upper/lower band and then closes back inside it, a rejection marker is plotted
Helps visualize failed breakouts and areas of absorption or reversal pressure
█ How to Use
⚪ Detect Trend Shifts
Use the RSI resets to identify when the trend might be starting fresh.
⚪ Watch the Bands for Volatility Extremes
Use the outer bands as soft areas of potential reversal or momentum breakout.
⚪ Spot Rejections for Potential Entry Signals
If price moves outside a band but then quickly returns inside, it often means the breakout failed, and price may reverse.
█ Settings Explained
RSI Length – How many bars RSI uses. Shorter = faster.
OB / OS Levels – Crossing these triggers a regression reset.
Base Regression Length – Max number of bars regression can use post-reset.
StdDev Multiplier – Controls band width from the regression line.
Min Bars After Reset – Ensures channel doesn’t form immediately; waits for structure.
Show Reset Markers – Triangles mark where RSI crossed OB/OS.
Show Rejection Markers – Circles mark where the price rejected the channel edge.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Candle Pattern Signals - Global Lowest/HighestForex Indicator – Precision Tool for Smarter Trading
Unlock the full potential of your trading strategy with this powerful Forex indicator. Designed to identify high-probability trade setups, it combines real-time price action analysis with advanced technical algorithms. Whether you're a scalper, swing trader, or trend follower, this tool provides clear entry and exit signals to boost your performance. Compatible with all major currency pairs and optimized for MetaTrader 4/5. Take your trading to the next level – trade smarter, not harder.
Daily ATR BandsATR Finder – Volatility Scanner for Smarter Trade Setups
The ATR Finder is a precision tool designed to help traders quickly identify high-volatility assets using the Average True Range (ATR) – a key metric in assessing market momentum and potential breakout zones. By automatically scanning and highlighting tickers or candles with elevated ATR values relative to their recent historical range, this indicator helps you filter for setups that are more likely to experience significant price moves.
Whether you're a day trader seeking intraday momentum or a swing trader looking for setups with strong follow-through potential, the ATR Finder cuts through the noise and visually signals which assets are "on the move." It can be paired with other indicators or price action tools to create a high-conviction trading strategy focused on volatility expansion.
Key Features:
Dynamic ATR Calculation over a user-defined period
Visual Alerts or Color-Coding for above-threshold volatility spikes
Supports Multiple Timeframes for both short- and long-term volatility analysis
Great for spotting breakout opportunities, gap continuations, or trend reversals
Use the ATR Finder to stay ahead of price action and build a watchlist that moves with purpose. Perfect for scalpers, breakout traders, and anyone who respects the power of volatility.
Trading Session Highs and LowsTrading Session Highs and Lows
This script provides an intuitive way to visualize key market levels from major trading sessions: Asia, London, New York, and New York Close. By automatically plotting the high and low of each session, it helps traders quickly identify important price levels that could impact market behavior.
Features include:
Session Marking: The script marks the high and low for each major session (Asia, London, New York, and New York Close).
Customizable Lines and Labels: You can adjust the line style, width, and color for each session’s high/low markers. The session name (e.g., "London", "New York") and the PDH/PDL (Prior Day High and Low) are also shown to give clear context.
Real-Time Updates: The levels are updated in real-time to reflect the current price action, helping you gauge price movement throughout the trading day.
Customizable Indicators: Easily adjust the visibility of the different sessions and the labels to focus on the session that matters most to your trading strategy.
This tool is designed to help day traders spot important levels for potential breakouts or reversals, making it easier to base your trading decisions on well-established price points. Ideal for scalpers, swing traders, and anyone who trades across multiple sessions.
DChannelَDChannel: Atr Channel
This indicator draws dynamic ATR-based zones from the start of each day (or any selected timeframe). It helps traders identify potential support/resistance areas and gauge daily volatility right from the open.
🧠 How It Works
The zones are calculated at the beginning of each day and remain fixed throughout the day.
You can choose any timeframe (15m, 1H, 4H, Daily, Weekly, Monthly, etc.) to base these zones on.
You can also choose whether to use the previous close or the current open as the base level.
🔷 What You See
Multiple volatility channels (main, pattern, trigger) plotted above and below the base level.
Colored bands:
Blue/Orange: Pattern-based zones
Green/Red: Main ATR-based zones
These bands can act as potential entry zones, stop-loss areas, or profit targets.
✅ Suggested Usage
Use the zones daily as key decision levels.
Combine this indicator with confirmation tools like Poibox and IDM indicators to improve entry accuracy.
Works well for intraday and swing traders in Forex, crypto, or stocks.
⚙️ Inputs
Timeframe: Select the higher timeframe to calculate ATR and open level.
Use Previous Close: Optionally use yesterday's close instead of today’s open.
📦 Version
v1.0.0 — Initial public release.
📜 License & Credits
Published under Mozilla Public License 2.0
© Atabaki
US30 Smart Money 5M/4H Strategy🧠 How It Works
✅ 1. 4H Trend Bias Detection
Uses the 4-hour chart (internally) to determine if the market is in an uptrend or downtrend.
Background turns green for bullish trend, red for bearish trend.
This helps filter trades — only take longs during uptrend, shorts during downtrend.
✅ 2. Liquidity Sweeps (Stop Hunts) on 5M
Highlights candles that break previous highs/lows and then reverse (typical of institutional stop raids).
Draws a shaded red box above sweep-high candles and green box under sweep-lows.
These indicate key reversal zones.
✅ 3. Order Block Zones
Detects bullish/bearish engulfing patterns after liquidity sweeps.
Draws a supply or demand zone box extending forward.
These zones show where institutions likely placed large orders.
✅ 4. FVG Midpoint from 30-Min Chart
Detects Fair Value Gaps (imbalances) on the 30-minute chart.
Plots a line at the midpoint of the gap (EQ level), which is often revisited for entries or rejections.
✅ 5. Buy/Sell Signals (Non-Repainting)
Buy = 4H uptrend + 5M liquidity sweep low + bullish engulfing candle.
Sell = 4H downtrend + 5M liquidity sweep high + bearish engulfing.
Prints green “BUY” or red “SELL” label on the chart — these do not repaint.
📈 How to Use It
Wait for trend bias — only take trades in the direction of the 4H trend.
Watch for liquidity sweep boxes — these hint a stop hunt just occurred.
Look for a signal label (BUY/SELL) — confirms entry criteria.
Use FVG EQ lines & Order Block zones as confluence or targets.
Take trades after NY open (9:30 AM EST) for best momentum.
Trader Affirmation Stream – Animated + Styling(TraderKessy)The Trader Affirmation Stream is a minimalist overlay indicator designed to keep you focused, motivated, and mentally sharp during your trading sessions. It displays a rotating series of positive trading affirmations—gently animated with a fading effect—right on your chart to help reinforce discipline, patience, and consistency.
Key Features:
Sequential Affirmations
A curated list of motivational trading affirmations that update every N bars, helping you stay grounded and intentional throughout your trading day.
Smooth Fade Animation
Subtle pulse-like fade-in and fade-out transitions give the affirmations a calm, professional feel without disrupting your analysis.
Custom Styling Options
Choose your preferred text size (small, normal, large, or huge) and set the base transparency to match your chart's aesthetic.
Clean Chart Placement
Displayed at the top center of your chart for maximum visibility without interfering with price action or indicators.
Why Use This?
Trading isn’t just technical—it’s deeply psychological. This tool acts like a gentle mental coach, reminding you of your best trading behaviors:
Follow your plan.
Wait for quality setups.
Focus on process, not outcome.
Trust your edge.
A simple, powerful tool to help you develop the mindset of a consistently profitable trader.
Akshay - TheOne, TheMostWanted, TheUnbeatable, TheEnd➤ All-in-One Solution (❌ No repaint):
This Technical Chart contains, MA24 Condition, Supertrend Indicator, HalfTrend Signal, Ichimoku Cloud Status, Parabolic SAR (P_SAR), First 5-Minute Candle Analysis (ORB5min), Volume-Weighted Moving Average (VWMA), Price-Volume Trend (PVT), Oscillator Composite, RSI Condition, ADX & Trend Strength.
Technicals don't lie.
🚀 Overview and Key Features
Comprehensive Multi-Indicator Approach:
The script is built to be an all-in-one technical indicator on TradingView. It integrates several well-known indicators and overlays—including Supertrend, HalfTrend, Ichimoku Cloud, various moving averages (EMA, SMA, VWMA), oscillators (Klinger, Price Oscillator, Awesome Oscillator, Chaikin Oscillator, Ultimate Oscillator, SMI Ergodic Oscillator, Chande Momentum Oscillator, Detrended Price Oscillator, Money Flow Index), ADX, and Donchian Channels—to create a composite picture of market sentiment.
Signal Generation and Alerts:
It not only calculates these indicators but also aggregates their output into “Master Candle” signals. Vertical lines are drawn on the chart with corresponding alerts to indicate potential buy or sell opportunities based on robust, combined conditions.
Visual Layering:
Through the use of colored histograms, custom candle plots, trend lines, and background color changes, the script offers a multi-layered visual representation of data, providing clarity about both short-term signals and overall market trends.
⚙️ How It Works and Functionality
MA24 Condition:
Uses the 24-period moving average as a proxy; if the price is above it, the bar is colored green, and red if below, with neutrality when conditions aren’t met.
Supertrend Indicator:
Evaluates price relative to the Supertrend level (calculated via ATR), coloring green when price is above it and red when below.
HalfTrend Signal:
Determines trend shifts by comparing the current close to a calculated trend level; green indicates an upward trend, while red suggests a downtrend.
Ichimoku Cloud Status:
Analyzes the relationship between the Conversion and Base lines; a bullish (green) signal is given when price is above both or the Conversion line is higher than the Base line.
Parabolic SAR (P_SAR):
Colors the signal based on whether the current price is above (green) or below (red) the Parabolic SAR marker, indicating stop and reverse conditions.
First 5-Minute Candle Analysis (ORB5min):
Uses key levels from the first 5-minute candle; if price exceeds the candle’s low, VWAP, and MA, it’s bullish (green), otherwise bearish (red).
Volume-Weighted Moving Average (VWMA):
Compares the current price to volume-weighted averages; a price above these levels is shown in green, below in red.
Price-Volume Trend (PVT):
Determines bullish or bearish momentum by comparing PVT to its VWAP—green when above and red when below.
Oscillator Composite:
Aggregates signals from multiple oscillators; a majority of positive results turn it green, while negative dominance results in red.
RSI Condition:
Uses a simple RSI threshold of 50, with values above signifying bullish (green) momentum and below marking bearish (red) conditions.
ADX & Trend Strength:
Reflects overall trend strength through ADX and directional movements; a combination favoring bullish conditions colors it green, with red signaling bearish pressure.
Master Candle Overall Signal:
Combines multiple indicator outputs into one “Master” signal—green for a consensus bullish trend and red for a bearish outlook.
Scalp Signal Variation:
Focused on short-term price changes, this signal adjusts quickly; green indicates improving short-term conditions, while red signals a downturn.
📊 Visualizations and 🎨 User Experience (❌ no repaint)
Dynamic Histograms & Bar Plots:
Each indicator is represented as a colored bar (with added vertical offsets) to facilitate easy comparison of their respective bullish or bearish contributions.
Clear Color-Coding & Labels:
Green (e.g., GreenFluorescent) indicates bullish sentiment.
Red (e.g., RedFluorescent) indicates bearish sentiment.
Custom labels and descriptive text accompany each bar for clarity.
Interactive Charting:
The overall background color adapts based on the “Master Candle” condition, offering an instant read on market sentiment.
The current candlestick is overlaid with color cues to reinforce the indicator’s signal, enhancing the trading experience.
Real-Time Alerts:
Vertical lines appear on signal events (buy/sell triggers), complemented by alerts that help traders stay on top of actionable market moves.
Sharp lines:
The Sharp lines are plotted based upon the EMA5 cross over with the same market trend, marks this as good time to reentry.
🔧 Settings and Customization
Flexible Timeframe Input:
Users can select their preferred timeframe for analysis, making the indicator adaptable to intraday or longer-term trading styles.
Customizable Indicator Parameters:
➤ Supertrend: Adjust ATR length and multiplier factors.
➤ HalfTrend: Tweak amplitude and channel deviation settings.
➤ Ichimoku Cloud & Oscillators: Fine-tune the conversion/base lines and oscillator lengths to match individual trading strategies.
Visual Customization:
The script’s color schemes and plotting styles can be altered as needed, giving users the freedom to tailor the interface to their taste or existing chart setups.
🌟 Uniqueness of the Concept
Integrated Multi-Indicator Synergy:
Combines a diverse range of trend, momentum, and volume-based indicators into a single cohesive system for a holistic market view.
Master Candle Aggregation:
Consolidates numerous individual signals into a "Master Candle" that filters out noise and provides a clear, consensus-based trading signal.
Layered Visual Feedback:
Uses color-coded histograms, adaptive background cues, and dynamic overlays to deliver a visually intuitive guide to market sentiment at a glance.
Customization and Flexibility:
Offers adjustable parameters for each indicator, allowing users to tailor the system to fit diverse trading styles and market conditions.
✅ Conclusion:
Robust Trading Tool & Non-Repainting Reliability:
This versatile technical analysis tool computes an extensive range of indicators, aggregates them into a stable, non-repainting “Master Candle” signal, and maintains consistent, verifiable outputs on historical data.
Holistic Market Insight & Consistent Signal Generation:
By combining trend detection, momentum oscillators, and volume analysis, the indicator delivers a comprehensive snapshot of market conditions and generates dependable signals across varying timeframes.
User-Centric Design with Rich Visual Feedback:
Customizable settings, clear color-coded outputs, adaptive backgrounds, and real-time alerts work together to provide actionable, transparent feedback—enhancing the overall trading experience.
A Unique All-in-One Solution:
The integrated approach not only simplifies complex market dynamics into an easy-to-read visual guide but also empowers systematic traders with a powerful, adaptable asset for accurate decision-making.
❤️ Credits:
Pine Script™ User Manual
Supertrend
Ichimoku Cloud
Parabolic SAR
Price Volume Trend (PVT)
Average Directional Index (ADX)
Volume Oscillator
HalfTrend
Donchian Trend
Supertrend Hombrok BotSupertrend Hombrok Bot – Automated Trading Strategy for Dynamic Market Conditions
This trading strategy script has been developed to operate automatically based on detailed market conditions. It combines the popular Supertrend indicator, RSI (Relative Strength Index), Volume, and ATR (Average True Range) to determine the best entry and exit points while maintaining proper risk management.
Key Features:
Supertrend as the Base: Uses the Supertrend indicator to identify the market's trend direction, generating buy signals when the market is in an uptrend and sell signals when in a downtrend.
RSI Filter: The RSI is used to determine overbought and oversold conditions, helping to avoid entries in extreme market conditions. Entries are avoided when RSI > 70 (overbought) and RSI < 30 (oversold), reducing the risk of false movements.
Volume Filter: The strategy checks if the trading volume is above the average multiplied by a user-defined factor. This ensures that only significant movements, with higher liquidity, are considered.
Candle Body Size: The strategy filters only candles with a body large enough relative to the ATR (Average True Range), ensuring that the price movements on the chart have sufficient strength.
Risk Management: The bot is configured to operate with an adjustable Risk/Reward Ratio (R:R). This means that for each trade, both Take Profit (TP) and Stop Loss (SL) are adjusted based on the market's volatility as measured by the ATR.
Automatic Entries and Exits: The script automatically executes entries based on the specified conditions and exits with predefined Stop Loss and Take Profit levels, ensuring risk is controlled for each trade.
How It Works:
Buy Condition: Triggered when the market is in an uptrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is below the overbought level.
Sell Condition: Triggered when the market is in a downtrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is above the oversold level.
Alerts:
Buy and Sell Alerts are configured with detailed information, including Stop Loss and Take Profit values, allowing the user to receive notifications when trading conditions are met.
Capital Management:
The capital per trade can be adjusted based on account size and risk profile.
Important Note:
Always test before trading with real capital: While the strategy has been designed based on solid technical analysis methods, always perform tests in real-time market conditions with demo accounts before applying the bot in live trading.
Disclaimer: This script is a tool to assist in the trading process and does not guarantee profit. Past performance is not indicative of future results, and the trader is always responsible for their investment decisions.
Vinicius Setup ATR
Description:
This script is a strategy based on the Supertrend indicator combined with volume analysis, candle strength, and RSI. Its goal is to identify potential entry points for buy and sell trades based on technical criteria, without promising profitability or guaranteed results.
Script Components:
Supertrend: Used as the main trend compass. When the trend is positive (direction = 1), buy signals are considered; when negative (direction = -1), sell signals are considered.
Volume: Entries are only validated if the volume is above the average of the last 20 candles, adjusted with a 1.2 multiplier.
Candle Body: The candle body must be larger than a certain percentage of the ATR, ensuring sufficient strength and volatility.
RSI: Used as a filter to avoid trades in extreme overbought or oversold zones.
Support and Resistance: Identified based on simple pivots (5 periods before and after).
Customizable Parameters:
ATR Length and Multiplier: Controls the sensitivity of the Supertrend.
RSI Period: Adjusts the relative strength filter.
Minimum Volume and Candle Body: Settings to validate entry signals.
Entry Conditions:
Buy: Positive trend + strong candle + high volume + RSI below 70.
Sell: Negative trend + strong candle + high volume + RSI above 30.
Exit Conditions:
The trade is closed upon the appearance of an opposite signal.
Notes:
This is a technical system with no profit guarantees.
It is recommended to test with realistic capital values and parameters suited to your risk management.
The script is not optimized for specific profitability, but rather to support study and the construction of setups with objective criteria.
Exponential Trend [AlgoAlpha]OVERVIEW
This script plots an adaptive exponential trend system that initiates from a dynamic anchor and accelerates based on time and direction. Unlike standard moving averages or trailing stops, the trend line here doesn't follow price directly—it expands exponentially from a pivot determined by a modified Supertrend logic. The result is a non-linear trend curve that starts at a specific price level and accelerates outward, allowing traders to visually assess trend strength, persistence, and early-stage reversal points through both base and volatility-adjusted extensions.
CONCEPTS
This indicator builds on the idea that trend-following tools often need dynamic, non-static expansion to reflect real market behavior. It uses a simplified Supertrend mechanism to define directional context and anchor levels, then applies an exponential growth function to simulate trend acceleration over time. The exponential growth is unidirectional and resets only when the direction flips, preserving trend memory. This method helps avoid whipsaws and adds time-weighted confirmation to trends. A volatility buffer—derived from ATR and modifiable by a width multiplier—adds a second layer to indicate zones of risk around the main trend path.
FEATURES
Exponential Trend Logic : Once a directional anchor is set, the base trend line accelerates using an exponential formula tied to elapsed bars, making the trend stronger the longer it persists.
Volatility-Adjusted Extension : A secondary band is plotted above or below the base trend line, widened by ATR to visualize volatility zones, act as soft stop regions or as a better entry point (Dynamic Support/Resistance).
Color-Coded Visualization : Clear green/red base and extension lines with shaded fills indicate trend direction and confidence levels.
Signal Markers & Alerts : Triangle markers indicate confirmed trend reversals. Built-in alerts notify users of bullish or bearish direction changes in real-time.
USAGE
Use this script to identify strong trends early, visually measure their momentum over time, and determine safe areas for entries or exits. Start by adjusting the *Exponential Rate* to control how quickly the trend expands—the higher the rate, the more aggressive the curve. The *Initial Distance* sets how far the anchor band is placed from price initially, helping filter out noise. Increase the *Width Multiplier* to widen the volatility zone for more conservative entries or exits. When the price crosses above or below the base line, a new trend is assumed and the exponential projection restarts from the new anchor. The base trend and its extension both shift over time, but only reset on a confirmed reversal. This makes the tool especially useful for momentum continuation setups or trailing stop logic in trending markets.
Directional Bias | FractalystNote: This indicator is specifically designed to integrate with the Quantify suite, automating bias detection through input.source(). While other scripts may provide similar functionality, this indicator uniquely connects with Quantify by outputting precise bias values: bullish (1), bearish (-1), or neutral (0).
What is the Directional Bias indicator?
The Directional Bias indicator is a powerful tool designed to automatically identify market bias (bullish, bearish, or neutral) using a sophisticated system of moving averages and filters. It serves as the perfect companion to the Quantify suite, allowing traders to objectively determine market direction without relying on subjective analysis or emotional decision-making.
How does the Directional Bias indicator work?
The indicator utilizes up to four customizable moving averages (MA) with various types (SMA, EMA, HMA, VWMA, etc.) and timeframes to determine market direction. It analyzes price action relative to these moving averages and applies user-defined filters to calculate whether the current market condition is bullish, bearish, or neutral.
What makes this indicator different from other trend indicators?
- Unlike traditional trend indicators that rely on a single moving average or oscillator, the Directional Bias indicator offers:
- Multi-moving average analysis with up to 4 different MAs
- Customizable MA types (SMA, EMA, WMA, VWMA, RMA, HMA, DEMA, TEMA, etc.)
- Multi-timeframe functionality for each MA
- Configurable filters to eliminate false signals
- Clear visual representation of bias directly on your charts
How does this indicator integrate with the Quantify?
- The Directional Bias indicator serves as the automated "bias detection engine" for the Quantify suite. While the original Quantify model required manual bias selection, this integration allows Quantify to automatically detect market bias and adjust its calculations accordingly. This creates a more streamlined workflow where Quantify can focus on identifying high-probability setups aligned with the objectively determined market direction.
Who is this indicator designed for?
This indicator is perfect for:
- Traders who use the Quantify suite and want to automate bias detection
- Technical analysts seeking objective trend confirmation
- Systematic traders who need clear rules for market direction
- Any trader looking to remove subjectivity from their directional analysis
What are the key benefits of using the Directional Bias indicator?
- Objective Analysis: Removes emotion and subjectivity from market direction determination
- Customizable: Adapt to your preferred timeframes and moving average types
- Visual Clarity: Instantly see market bias directly on your charts
- Seamless Quantify Integration: Automates what was previously a manual step in the Quantify workflow
- Enhanced Decision-Making: Provides clear signals for when to look for long vs. short opportunities
How can I optimize the Directional Bias indicator for my trading style?
You can customize:
- MA types for different market conditions (trending vs. ranging)
- MA lengths for sensitivity adjustment (shorter for quick signals, longer for reduced noise)
- Timeframes for each MA to incorporate multi-timeframe analysis
- Filter conditions to refine signals based on your risk tolerance
How does this indicator fit into a complete trading system?
The Directional Bias indicator serves as the first essential component in a complete system:
- Step 1: Use Directional Bias to determine market direction
- Step 2: Let Quantify identify high-probability entry setups aligned with that direction
- Step 3: Implement proper risk management using Quantify's Kelly Criterion calculations
- Step 4: Manage your trades with Quantify's trailing stop mechanisms
What technical innovations does this indicator offer?
- The indicator leverages advanced Pine Script functionality to deliver:
- Real-time bias calculation across multiple timeframes
- Non-repainting signals that provide reliable analysis
- Optimized code for smooth performance
- Visual color-coding for instant bias recognition
- Seamless integration with the broader Quantify ecosystem
To implement: Add both indicators to your chart, select Directional Bias as Quantify's external input source, and the system will automatically adjust calculations based on the detected market bias.
Trading Sessions [BigBeluga]
This indicator brings Smart Money Concept (ICT) session logic to life by plotting key global trading sessions with volume and delta analytics. It not only highlights session ranges but also tracks their midpoints — which often act as intraday support/resistance levels.
🔵 KEY FEATURES
Visual session boxes: Plots boxes for Tokyo, London, New York, and Sydney sessions based on user-defined UTC+0 time ranges.
Volume & delta metrics: Displays total volume and delta volume (buy–sell difference) within each session.
Mid, High & Low Range Extension: Once a session ends, the high, low, and midpoint levels automatically extend — ideal for detecting SR zones.
Session labels: Each box includes a label with session name, time, volume, and delta for quick reference.
Custom session control: Enable or disable sessions individually and configure start/end times.
Clean aesthetics: Transparent shaded boxes with subtle borders make it easy to overlay without clutter.
Sessions Dashboard: Shows the time range of each session and tells you whether the session is currently active.
🔵 USAGE
Enable the sessions you want to monitor (e.g., New York or Tokyo) from the settings.
Use session volume and delta values to gauge the strength and direction of institutional activity.
Watch for price interaction with the extended range — it often acts as dynamic support/resistance after the session ends.
Overlay it with liquidity tools or breaker blocks for intraday strategy alignment.
🔵 EXAMPLES
Extended Future Range acted as resistance/support.
Delta value helped confirm bullish pressure during New York open.
Multiple sessions helped identify kill zone overlaps and high-volume turns.
Trading Sessions is more than just a visual scheduler — it's a precision tool for traders who align with session-based volume dynamics and ICT methodology. Use it to define high-probability zones, confirm volume shifts, and read deeper into the true intent behind market structure.
TRAMA - Trend Regularity Adaptive Moving AverageThe TRAMA Line is an advanced, adaptive moving average that adjusts its speed based on market volatility. It’s designed to react quickly to price momentum shifts while filtering out noise — making it perfect for scalping, intraday, and swing trading.
What Makes It Special:
📊 Adaptive Sensitivity: Speeds up during high momentum, slows down during consolidation.
🎯 More responsive than traditional EMAs or SMAs, giving early signals without excessive false alarms.
🔄 Works great as a dynamic trend filter — price staying above = uptrend, below = downtrend.
🧠 Based on price movement regularity, which helps detect clean pullbacks and trend continuations.
In Your Indicator:
TRAMA acts as the main trend line to detect:
Trend direction
Pullbacks
Reversals
Combined with MACD, RSI, and ATR, it helps determine whether a move is likely to continue or reverse.
Ultimate Moving Average Crossover Indicator by SAMQUANT📈 Ultimate Moving Average Crossover Indicator | All-in-One MA Strategy
Unlock the power of multiple moving averages in one versatile indicator designed to give you clear, actionable signals in any market condition.
📌 Key Features:
- Supports **all major moving averages**:
- **SMA, EMA, WMA, HMA, RMA, DEMA, TEMA**, and more.
- Each MA is **fully customizable** with different lengths and types for ultimate flexibility.
- **Binary Long/Short signals** based on crossover logic—perfect for alerts, strategies, or discretionary trading.
- **Dynamic background coloring**:
- **Green** for bullish trends
- **Red** for bearish trends
Quickly gauge market direction at a glance.
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🚀 Why Use This Indicator?
✅ Combines the strength of all major MA types
✅ Customizable to fit any trading style—scalping, swing, or trend following
✅ Built-in alerts ready for your next trade
✅ Visually intuitive with built-in signal clarity
✅ Excellent tool for **confluence-based** strategies
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Great trades start with great tools. Clarity, precision, and flexibility—this indicator brings it all to your charts. Trade smarter, not harder.
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> ⚠️ **Disclaimer:**
This script is intended for **educational and informational purposes only**. It does not constitute financial advice. Past performance is not indicative of future results. Always practice sound risk management and test strategies thoroughly before using real capital.
Liquidity Fair Value Bands | QuantumResearch 🔹 Liquidity Fair Value Bands | QuantumResearch
A Dynamic Liquidity-Based Fair Value Model Using Volume-Weighted Linear Regression and Deviation Bands
📘 Overview
The Liquidity Fair Value Bands is a specialized volatility and valuation indicator designed to help traders identify dynamic fair value zones based on liquidity-adjusted price behavior. Unlike standard deviation bands or traditional moving averages, this tool integrates volume-weighted linear regression to estimate a fair value baseline — a more accurate representation of price equilibrium under active market participation.
This script is not a simple mashup of existing indicators. It introduces a novel concept by fusing the following elements:
📊 Volume-Weighted Linear Regression (VWLR) to determine the fair value baseline
📈 Standard Deviation Bands layered around this baseline to visualize statistically significant deviations
🔄 Trend Signals derived from slope direction and baseline crossover
🎨 Gradient-Based Visual Modes for enhanced readability
🚨 Built-in Alerts for overbought/oversold and trend breakout conditions
🧠 Concept & Calculation
🟩 1. Fair Value Baseline (Core Innovation)
The baseline is calculated using a volume weighted linear regression.
This formula ensures that higher-volume periods influence the regression line more heavily, offering a liquidity-aware estimate of what the asset is “really worth” based on market consensus.
A positive slope indicates a growing fair value — bullish environment
A negative slope signals declining fair value — bearish environment
📏 2. Deviation Bands
Three layers of symmetric deviation bands are plotted above and below the baseline, each representing a multiple of standard deviation (1σ, 2σ, 3σ) over the same lookback period:
Upper Bands highlight statistically significant overvaluation
Lower Bands indicate undervaluation and potential reversion zones
These zones are visualized using translucent color fills to help traders instantly interpret risk/reward conditions.
🔄 3. Trend Detection
Optionally, the indicator displays up/down arrows when the price crosses the fair value baseline and a new trend is forming:
✅ Uptrend: Price crosses above baseline and baseline slope increases
🔻 Downtrend: Price drops below baseline and slope declines
These dynamic signals allow you to react to trend reversals early, rather than waiting for lagging confirmation.
🎯 How to Use
This tool excels in trend-trading, mean reversion, and liquidity-based fair value analysis.
✅ Buy Zones: Price enters lower bands (e.g. -1σ to -3σ) during lower fair value zone
❌ Sell Zones: Price enters upper bands (e.g. +1σ to +3σ) during higher fair value
🕵️♂️ Fair Value Confirmation: Flat baseline in consolidating markets helps avoid chop
📈 Trend Entry: Use baseline crossovers and band inflections to time entries
⚙️ Customization Features
🔧 Adjustable regression length and offset
🎨 Eight visual modes for light/dark themes
🔔 Optional alerts for significant band breaches (1σ, 2σ, 3σ)
🟡 Toggle individual band visibility (1st, 2nd, 3rd) for cleaner UI
⚡ Optional trend signal arrows
🧪 Interpretation Example
If the current price trades 2+ standard deviations above the liquidity-based fair value line, it likely indicates:
A short-term overbought market
Potential for mean reversion
Or signal that a strong trend breakout is underway (confirm with slope direction)
✅ Why It’s Unique
This is not just a Bollinger Bands variant — it is a liquidity-aware fair value model with enhanced statistical depth. The baseline adapts to both price and volume, unlike simple moving averages that assume equal importance across all candles.
It combines three important market principles:
🎯 Price Action
🏦 Liquidity Weighting
📊 Volatility Analysis
All in one clean and visually intuitive script.
📢 Disclaimer
This indicator is for educational purposes only and is not financial advice. Always use additional confluence and proper risk management in your trading.
Auto Support Resistance Channels [TradingFinder] Top/Down Signal🔵 Introduction
In technical analysis, a price channel is one of the most widely used tools for identifying and tracking price trends. A price channel consists of two parallel trendlines, typically drawn from swing highs (resistance) and swing lows (support). These lines define dynamic support and resistance zones and provide a clear framework for interpreting price fluctuations.
Drawing a channel on a price chart allows the analyst to more precisely identify entry points, exit levels, take-profit zones, and stop-loss areas based on how the price behaves within the boundaries of the channel.
Price channels in technical analysis are generally categorized into three types: upward channels with a positive slope, downward channels with a negative slope, and horizontal (range-bound) channels with near-zero slope. Each type offers unique insights into market behavior depending on the price structure and prevailing trend.
Structurally, channels can be formed using either minor or major pivot points. A major channel typically reflects a stronger, more reliable structure that appears on higher timeframes, whereas a minor channel often captures short-term fluctuations or corrective movements within a larger trend.
For instance, a major downward channel may indicate sustained selling pressure across the market, while a minor upward channel could represent a temporary pullback within a broader bearish trend.
The validity of a price channel depends on several factors, including the number of price touches on the channel lines, the symmetry and parallelism of the trendlines, the duration of price movement within the channel, and price behavior around the median line.
When a price channel is broken, it is generally expected that the price will move in the breakout direction by at least the width of the channel. This makes price channels especially useful in breakout analysis.
In the following sections, we will explore the different types of price channels, how to draw them accurately, the structural differences between minor and major channels, and key trade interpretations when price interacts with channel boundaries.
Up Channel :
Down Channel :
🔵 How to Use
A price channel is a practical tool in technical analysis for identifying areas of support, resistance, trend direction, and potential breakout zones. The structure consists of two parallel trendlines within which price fluctuates.
Traders use the relative position of price within the channel to make informed trading decisions. The two primary strategies include range-based trades (buying low, selling high) and breakout trades (entering when price exits the channel).
🟣 Up Channel
In an upward channel, price moves within a positively sloped range. The lower trendline acts as dynamic support, while the upper trendline serves as dynamic resistance. A common strategy involves buying near the lower support and taking profit or selling near the upper resistance.
If price breaks below the lower trendline with strong volume or a decisive candle, it can signal a potential trend reversal. Channels constructed from major pivots generally reflect dominant uptrends, while those based on minor pivots are often corrective structures within a broader bearish movement.
🟣 Down Channel
In a downward channel, price moves between two negatively sloped lines. The upper trendline functions as resistance, and the lower trendline as support. Ideal entry for short trades occurs near the upper boundary, especially when confirmed by bearish price action or a resistance level.
Exit targets are typically located near the lower support. If the upper boundary is broken to the upside, it may be an early sign of a bullish trend reversal. Like upward channels, a major down channel represents broader selling pressure, while a minor one may indicate a brief retracement in a bullish move.
🟣 Range Channel
A horizontal or range-bound channel is characterized by price oscillating between two nearly flat lines. This type of channel typically appears during sideways markets or periods of consolidation.
Traders often buy near the lower boundary and sell near the upper boundary to take advantage of contained volatility. However, fake breakouts are more frequent in range-bound structures, so it is important to wait for confirmation through candlestick signals and volume. A confirmed breakout beyond the channel boundaries can justify entering a trade in the direction of the breakout.
🔵 Settings
Pivot Period :This parameter defines how sensitive the channel detection is. A higher value causes the algorithm to identify major pivot points, resulting in broader and longer-term channels. Lower values focus on minor pivots and create tighter, short-term channels.
🔔 Alerts
Alert Configuration :
Enable or disable the full alert system
Set a custom alert name
Choose the alert frequency: every time, once per bar, or on bar close
Define the time zone for alert timestamps (e.g., UTC)
Channel Alert Types :
Each channel type (Major/Minor, Internal/External, Up/Down) supports two alert types :
Break Alert : Triggered when price breaks above or below the channel boundaries
React Alert : Triggered when price touches and reacts (bounces) off the channel boundary
🎨 Display Settings
For each of the eight channel types, you can customize:
Visibility : show or hide the channel
Auto-delete previous channels when new ones are drawn
Style : line color, thickness, type (solid, dashed, dotted), extension (right only, both sides)
🔵 Conclusion
The price channel is a foundational structure in technical analysis that enables traders to analyze price movement, identify dynamic support and resistance zones, and locate potential entry and exit points with greater precision.
When constructed properly using minor or major pivots, a price channel offers a consistent and intuitive framework for interpreting market behavior—often simpler and more visually clear than many other technical tools.
Understanding the differences between upward, downward, and range-bound channels—as well as recognizing the distinctions between minor and major structures—is critical for selecting the right trading strategy. Upward channels tend to generate buying opportunities, downward channels prioritize short setups, and horizontal channels provide setups for both mean-reversion and breakout trades.
Ultimately, the reliability of a price channel depends on various factors such as the number of touchpoints, the duration of the channel, the parallelism of the lines, and how the price reacts to the median line.
By taking these factors into account, an experienced analyst can effectively use price channels as a powerful tool for trend forecasting and precise trade execution. Although conceptually simple, successful application of price channels requires practice, pattern recognition, and the ability to filter out market noise.
TASC 2025.05 Trading The Channel█ OVERVIEW
This script implements channel-based trading strategies based on the concepts explained by Perry J. Kaufman in the article "A Test Of Three Approaches: Trading The Channel" from the May 2025 edition of TASC's Traders' Tips . The script explores three distinct trading methods for equities and futures using information from a linear regression channel. Each rule set corresponds to different market behaviors, offering flexibility for trend-following, breakout, and mean-reversion trading styles.
█ CONCEPTS
Linear regression
Linear regression is a model that estimates the relationship between a dependent variable and one or more independent variables by fitting a straight line to the observed data. In the context of financial time series, traders often use linear regression to estimate trends in price movements over time.
The slope of the linear regression line indicates the strength and direction of the price trend. For example, a larger positive slope indicates a stronger upward trend, and a larger negative slope indicates the opposite. Traders can look for shifts in the direction of a linear regression slope to identify potential trend trading signals, and they can analyze the magnitude of the slope to support trading decisions.
One caveat to linear regression is that most financial time series data does not follow a straight line, meaning a regression line cannot perfectly describe the relationships between values. Prices typically fluctuate around a regression line to some degree. As such, analysts often project ranges above and below regression lines, creating channels to model the expected extent of the data's variability. This strategy constructs a channel based on the method used in Kaufman's article. It measures the maximum distances from points on the linear regression line to historical price values, then adds those distances and the current slope to the regression points.
Depending on the trading style, traders might look for prices to move outside an established channel for breakout signals, or they might look for price action to reach extremes within the channel for potential mean reversion opportunities.
█ STRATEGY CALCULATIONS
Primary trade rules
This strategy implements three distinct sets of rules for trend, breakout, and mean-reversion trades based on the methods Kaufman describes in his article:
Trade the trend (Rule 1) : Open new positions when the sign of the slope changes, indicating a potential trend reversal. Close short trades and enter a long trade when the slope changes from negative to positive, and do the opposite when the slope changes from positive to negative.
Trade channel breakouts (Rule 2) : Open new positions when prices cross outside the linear regression channel for the current sample. Close short trades and enter a long trade when the price moves above the channel, and do the opposite when the price moves below the channel.
Trade within the channel (Rule 3) : Open new positions based on price values within the channel's range. Close short trades and enter a long trade when the price is near the channel's low, within a specified percentage of the channel's range, and do the opposite when the price is near the channel's high. With this rule, users can also filter the trades based on the channel's slope. When the filter is active, long positions are allowed only when the slope is positive, and short positions are allowed only when it is negative.
Position sizing
Kaufman's strategy uses specific trade sizes for equities and futures markets:
For an equities symbol, the number of shares traded is $10,000 divided by the current price.
For a futures symbol, the number of contracts traded is based on a volatility-adjusted formula that divides $25,000 by the product of the 20-bar average true range and the instrument's point value.
By default, this script automatically uses these sizes for its trade simulation on equities and futures symbols and does not simulate trading on other symbols. However, users can control position sizes from the "Settings/Properties" tab and enable trade simulation on other symbol types by selecting the "Manual" option in the script's "Position sizing" input.
Stop-loss
This strategy includes the option to place an accompanying stop-loss order for each trade, which users can enable from the "SL %" input in the "Settings/Inputs" tab. When enabled, the strategy places a stop-loss order at a specified percentage distance from the closing price where the entry order occurs, allowing users to compare how the strategy performs with added loss protection.
█ USAGE
This strategy adapts its display logic for the three trading approaches based on the rule selected in the "Trade rule" input:
For all rules, the script plots the linear regression slope in a separate pane. The plot is color-coded to indicate whether the current slope is positive or negative.
When the selected rule is "Trade the trend", the script plots triangles in the separate pane to indicate when the slope's direction changes from positive to negative or vice versa. Additionally, it plots a color-coded SMA on the main chart pane, allowing visual comparison of the slope to directional changes in a moving average.
When the rule is "Trade channel breakouts" or "Trade within the channel", the script draws the current period's linear regression channel on the main chart pane, and it plots bands representing the history of the channel values from the specified start time onward.
When the rule is "Trade within the channel", the script plots overbought and oversold zones between the bands based on a user-specified percentage of the channel range to indicate the value ranges where new trades are allowed.
Users can customize the strategy's calculations with the following additional inputs in the "Settings/Inputs" tab:
Start date : Sets the date and time when the strategy begins simulating trades. The script marks the specified point on the chart with a gray vertical line. The plots for rules 2 and 3 display the bands and trading zones from this point onward.
Period : Specifies the number of bars in the linear regression channel calculation. The default is 40.
Linreg source : Specifies the source series from which to calculate the linear regression values. The default is "close".
Range source : Specifies whether the script uses the distances from the linear regression line to closing prices or high and low prices to determine the channel's upper and lower ranges for rules 2 and 3. The default is "close".
Zone % : The percentage of the channel's overall range to use for trading zones with rule 3. The default is 20, meaning the width of the upper and lower zones is 20% of the range.
SL% : If the checkbox is selected, the strategy adds a stop-loss to each trade at the specified percentage distance away from the closing price where the entry order occurs. The checkbox is deselected by default, and the default percentage value is 5.
Position sizing : Determines whether the strategy uses Kaufman's predefined trade sizes ("Auto") or allows user-defined sizes from the "Settings/Properties" tab ("Manual"). The default is "Auto".
Long trades only : If selected, the strategy does not allow short positions. It is deselected by default.
Trend filter : If selected, the strategy filters positions for rule 3 based on the linear regression slope, allowing long positions only when the slope is positive and short positions only when the slope is negative. It is deselected by default.
NOTE: Because of this strategy's trading rules, the simulated results for a specific symbol or channel configuration might have significantly fewer than 100 trades. For meaningful results, we recommend adjusting the start date and other parameters to achieve a reasonable number of closed trades for analysis.
Additionally, this strategy does not specify commission and slippage amounts by default, because these values can vary across market types. Therefore, we recommend setting realistic values for these properties in the "Cost simulation" section of the "Settings/Properties" tab.
Trend Breakout [Uncle Sam Trading]Trend Breakout Indicator
Overview
The Trend Breakout Indicator is a powerful, non-repainting tool designed to help traders identify high-probability breakout and trend reversal setups on any market and timeframe. By leveraging pivot points, this indicator draws dynamic support and resistance channels, highlights counter-trend breakouts, and provides visual cues for market direction. It’s ideal for traders looking to simplify their analysis while targeting key price levels for entries and exits.
Key Features
Pivot-Based Channels: Draws a red upper channel (resistance) and a green lower channel (support) by connecting recent pivot highs and lows.
Counter-Trend Breakout Signals:
Blue “CT Breakup” signal (▲) when the price breaks above the upper channel during a downtrend, indicating a potential reversal or pullback.
Orange “CT Breakdown” signal (▼) when the price breaks below the lower channel during an uptrend, signaling a potential downmove.
Trend Visualization: Background color shifts to green for uptrends and red for downtrends, making it easy to gauge market direction.
Customizable Settings: Adjust pivot detection sensitivity with “Pivot Left Bars” (default: 5) and “Pivot Right Bars” (default: 1), and control channel extension with “Channel Extension Bars” (default: 50).
Optional Trend Signals: Enable “Show Trend Change Signals” to display trend shifts with green (uptrend) or red (downtrend) arrows.
Alert Conditions: Set alerts for counter-trend breakouts and trend changes directly on TradingView.
Example Performance (BTCUSDT, 1-Hour Chart)
On the BTCUSDT 1-hour chart:
A “CT Breakdown” signal appeared on April 6 at 8:00 AM at $82,700, followed by a drop to $74,400 within hours—a 10% move.
A “CT Breakup” signal occurred on April 9 at 1:00 AM at $76,600, leading to a rally to $86,600 in a few hours—a 9% gain.
These examples highlight the indicator’s ability to spot significant price movements, though results depend on market conditions, your trading style, and risk management.
Settings
Pivot Left Bars (default: 5): Number of bars to the left for pivot detection.
Pivot Right Bars (default: 1): Number of bars to the right for pivot confirmation (ensures non-repainting signals).
Channel Extension Bars (default: 50): How far the channels extend to the right.
Show Pivot Points (default: true): Displays small triangles at pivot highs (maroon) and lows (navy).
Show Counter-Trend Breakout Signals (default: true): Shows CT Breakup and CT Breakdown signals.
Show Trend Change Signals (default: false): Displays trend shift arrows when enabled.
How to Use
Add the indicator to your chart via TradingView’s indicator library.
Adjust the settings to match your trading style and timeframe.
Watch for “CT Breakup” and “CT Breakdown” signals to identify potential trade setups.
Use the background color (green/red) to confirm the current trend.
Set alerts for breakouts or trend changes to stay updated on key signals.
Always combine with proper risk management and your own analysis—past performance is not a guarantee of future results.
Notes
The indicator is non-repainting, meaning signals are confirmed and won’t disappear after they form.
Works on any market (crypto, forex, stocks) and timeframe, such as the BTCUSDT 1-hour chart shown.
Performance varies based on market volatility and your trading strategy.
This is a free tool created to support the TradingView community—feedback is welcome in the comments!
Disclaimer
Trading involves risk, and this indicator is not a guaranteed predictor of future price movements. Always conduct your own analysis and manage risk appropriately. The examples provided (e.g., BTCUSDT signals) are for educational purposes only and reflect past performance, which may not repeat.
HG StdDevThe HG StdDev indicator provides a dynamic view of market volatility by calculating the standard deviation of a selected price source over a customizable period. Additionally, it plots a threshold line representing the highest standard deviation over a secondary lookback window.
Red Line: Current standard deviation (volatility) of the price.
Gray Line: Highest standard deviation value within the lookback range, serving as a reference for recent peak volatility.
Use this tool to identify periods of increasing or extreme volatility, potential breakout zones, or to filter signals based on volatility thresholds.
Gap & Reversal Signals (Normal vs Heikin-Ashi)🔍 Gap & Reversal Signals (Normal vs Heikin-Ashi) — by
This script is designed to help traders identify key market signals by comparing Normal Candlestick Patterns with Heikin-Ashi values to highlight potential:
✅ Gap Up Opportunities (Strong Bullish Continuation)
🔻 Gap Down Alerts (Strong Bearish Continuation)
🔄 Bullish Reversal Zones (Possible Trend Reversal from Bearish to Bullish)
🔁 Bearish Reversal Zones (Possible Trend Reversal from Bullish to Bearish)
🧠 How it Works:
Gap Up: Normal candle is bullish, Heikin-Ashi is also bullish, and price closes higher than the HA close.
Gap Down: Normal candle is bearish, Heikin-Ashi is also bearish, and price closes lower than the HA close.
Bullish Reversal: Normal candle is bullish, but Heikin-Ashi shows bearish — potential reversal signal.
Bearish Reversal: Normal candle is bearish, but Heikin-Ashi shows bullish — potential reversal signal.
📊 Plot Details:
💚 Gap Up → Green Label Below Bar
❤️ Gap Down → Red Label Above Bar
💙 Bullish Reversal → Blue Label Below Bar
🧡 Bearish Reversal → Orange Label Above Bar
🚀 Use Cases:
Swing and positional traders looking for high-probability reversal setups
Intraday traders spotting early momentum shifts
Backtesters combining HA + candlestick logic for more robust strategies
Moving average with different timeThis script allowing you to plot up to 6 different types of moving averages (MAs) on the chart, each with customizable parameters such as type, length, source, color, and timeframe. It also allows you to set different timeframes for each moving average.
Key Features:
Multiple Moving Averages: You can add up to 6 different moving averages to your chart.
Each MA can be one of the following types: SMA, EMA, SMMA (RMA), WMA, or VWMA.
Custom Timeframes: Each moving average can be applied to a specific timeframe, giving you flexibility to compare different periods (e.g., a 50-period moving average on the 1-hour chart and a 200-period moving average on the 4-hour chart).
Customizable Inputs:
Type: Choose between SMA, EMA, SMMA, WMA, or VWMA for each MA.
Source: You can select the price data source (e.g., close, open, high, low).
Length: Set the number of periods (length) for each moving average.
Color: Each moving average can be assigned a specific color.
Timeframe: Customize the timeframe for each moving average individually (e.g., MA1 on 15-minute, MA2 on 1-hour).
User Interface:
The script includes a data window display for each moving average, allowing you to control whether to show each MA and configure its settings directly from the settings menu.
Flexible Use:
Toggle individual moving averages on and off with the show checkbox for each MA.
Customize each MA's parameters without affecting others.
Parameters:
MA Type: You can choose between different moving averages (SMA, EMA, etc.).
Source: Price data used for calculating the moving average (e.g., close, open, etc.).
Length: Defines the period (number of bars) for each moving average.
Color: Change the line color for each moving average for better visualization.
Timeframe: Set a different timeframe for each moving average (e.g., 1-day MA vs. 1-week MA).
Example Use Case:
You might use this indicator to track short-term, medium-term, and long-term trends by adding multiple MAs with different lengths and timeframes. For example:
MA1 (20-period) might be an SMA on a 1-hour chart.
MA2 (50-period) might be an EMA on a 4-hour chart.
MA3 (100-period) might be a WMA on a daily chart.
This setup allows you to visually track the market's behavior across different timeframes and better identify trends, crossovers, and other patterns.
How to Customize:
Show/Hide MAs: Enable or disable each moving average from the input menu.
Modify Parameters: Change the MA type, source, length, and color for each individual moving average.
Timeframes: Set different timeframes for each moving average for more detailed analysis.
With this Moving Average Ribbon, you get a versatile and visually rich tool to aid in technical analysis.
90-Day Beta to BTCOverview:
The 90-Day Beta to BTC indicator measures the volatility of a specific token relative to Bitcoin (BTC) over the past 90 days. Beta is a widely used statistical measure in financial markets that indicates how much a token's price moves in relation to BTC. A higher beta means the token is more volatile compared to BTC, while a lower beta means it is less volatile or moves similarly to BTC.
How It Works:
This indicator calculates the daily logarithmic returns of both the token and Bitcoin, then computes the covariance between their returns and the variance of Bitcoin’s returns. The resulting Beta value reflects the degree to which the token’s price fluctuates relative to Bitcoin's price over the past 90 days.
Beta > 1: The token is more volatile than Bitcoin, showing higher price swings.
Beta = 1: The token moves in lockstep with Bitcoin, exhibiting similar volatility.
Beta < 1: The token is less volatile than Bitcoin, showing smaller price fluctuations.
Beta = 0: The token's price movement is uncorrelated with Bitcoin’s price.
Negative Beta: The token moves opposite to Bitcoin, indicating an inverse relationship.
Use Case:
This indicator is particularly useful for traders or investors looking to identify tokens with high speculative volatility. Tokens with Beta values above 1 are typically high-risk, high-reward assets, often driven by hype, social trends, or market speculation. Conversely, tokens with Beta values below 1 offer a more stable price relationship with Bitcoin, making them less volatile and potentially safer.
In the context of a Trash Token Tournament, tokens with a higher Beta (greater than 1) may be more attractive due to their heightened volatility and potential for larger price swings, making them the “wild cards” of the market.
Visual Representation:
The Beta value is plotted as a line chart beneath the main price chart, offering a visual representation of the token’s volatility relative to Bitcoin over the last 90 days. Spikes in Beta indicate periods of increased volatility, while drops suggest stability.
