Logistic Regression ICT FVG🚀 OVERVIEW
Welcome to the Logistic Regression Fair Value Gap (FVG) System — a next-gen trading tool that blends precision gap detection with machine learning intelligence.
Unlike traditional FVG indicators, this one evolves with each bar of price action, scoring and filtering gaps based on real market behavior.
🔧 CORE FEATURES
✨ Smart Gap Detection
Automatically identifies bullish and bearish Fair Value Gaps using volatility-aware candle logic.
📊 Probability-Based Filtering
Uses logistic regression to assign each gap a confidence score (0 to 1), showing only high-probability setups.
🔁 Real-Time Retest Tracking
Continuously watches how price interacts with each gap to determine if it deserves respect.
📈 Multi-Factor Assessment
Evaluates RSI, MACD, and body size at gap formation to build a full context snapshot.
🧠 Self-Learning Engine
The logistic regression model updates on each bar using gradient descent, refining its predictions over time.
📢 Built-In Alerts
Get instant alerts when a gap forms, gets retested, or breaks.
🎨 Custom Display Options
Control the color of bullish/bearish zones, and toggle on/off probability labels for cleaner charts.
🚩 WHAT MAKES IT DIFFERENT
This isn’t just another box-drawing indicator.
While others mark every imbalance, this system thinks before it draws — using statistical modeling to filter out noise and prioritize high-impact zones.
By learning from how price behaves around gaps (not just how they form), it helps you trade only what matters — not what clutters.
⚙️ HOW IT WORKS
1️⃣ Detection
FVGs are identified using ATR-based thresholds and sharp wick imbalances.
2️⃣ Behavior Monitoring
Every gap is tracked — and if respected enough times, it becomes part of the elite training set.
3️⃣ Context Capture
Each new FVG logs RSI, MACD, and body size to provide a feature-rich context for prediction.
4️⃣ Prediction (Logistic Regression)
The model predicts how likely the gap is to be respected and assigns it a probability score.
5️⃣ Classification & Alerts
Gaps above the threshold are plotted with score labels, and alerts trigger for entry/respect/break.
⚙️ CONFIGURATION PANEL
🔧 System Inputs
• Max Retests – How many times a gap must be respected to train the model
• Prediction Threshold – Minimum score to show a gap on the chart
• Learning Rate – Controls how fast the model adapts (default: 0.009)
• Max FVG Lifetime – Expiration duration for unused gaps
• Show Historic Gaps – Show/hide expired or invalidated gaps
🎨 Visual Options
• Bullish/Bearish Colors – Set gap colors to fit your chart style
• Confidence Labels – Show probability scores next to FVGs
• Alert Toggles – Enable alerts for:
– New FVG detected
– FVG respected (entry)
– FVG invalidated (break)
💡 WHY LOGISTIC REGRESSION?
Traditional FVG tools rely on candle shapes.
This system relies on probability — by training on RSI, MACD, and price behavior, it predicts whether a gap will act as a true liquidity zone.
Logistic regression lets the system continuously adapt using new data, making it more accurate the longer it runs.
That means smarter signals, fewer false positives, and a clearer view of where real opportunities lie.
在腳本中搜尋"RSI MACD"
IQ_Trader's Technical Scoring System With SignalsThe IQ Trader's Technical Scoring System is a sophisticated trading indicator designed to assist traders in identifying potential BUY and SELL opportunities using a dynamic scoring mechanism.
By combining traditional technical indicators (SMA, MACD) with a custom Adaptive Gaussian Moving Average (AGMA) and Bayesian trend probability analysis, this indicator provides a comprehensive view of market conditions. It generates multiple signal types to support various trading strategies, including main BUY/SELL signals, additional BUYS/SELLS signals, and STOP/STRONG STOP signals for risk management.
Key Features
Dynamic Scoring System:
The indicator calculates separate Buy and Sell scores based on multiple conditions, including:
Price position relative to daily SMA50 and SMA200.
Price position relative to the Adaptive Gaussian Moving Average (AGMA).
Bayesian trend analysis incorporating RSI, MACD, EMA, ATR, and volume zones.
MACD position and crossover/crossunder events.
Scores are displayed in a table, showing the contribution of each component (e.g., "Price > SMA50: 20") for transparency.
Signal Types:
Main BUY/SELL Signals:
Triggered when the Buy/Sell score falls within user-defined dynamic thresholds (adjustable for above/below SMA50 conditions).
Controlled by an inTrade state to prevent overlapping signals (BUY only when not in a trade, SELL only when in a trade).
Disabled by default; enable via settings ("Enable Main BUY Signals" and "Enable Main SELL Signals").
Additional BUYS/SELLS Signals:
Generated when the Buy score exceeds the Sell score (BUYS) or vice versa (SELLS).
Sequentially alternates (BUYS → SELLS → BUYS) to avoid repetitive signals, using an inBuysState mechanism.
Always enabled for quick trend insights.
STOP/STRONG STOP Signals:
STOP: Triggered when the price is above SMA50 and MACD crosses below the signal line in a lower timeframe.
STRONG STOP: Triggered when the price is above SMA50, MACD is below the signal line, and the price is below AGMA in a lower timeframe.
Disabled by default; enable via settings ("Enable STOP Signals" and "Enable STRONG STOP Signals").
Useful for risk management and exiting positions.
Visual and Customization Options:
Plots: Displays daily SMA50, SMA200, AGMA, MACD, and MACD Signal lines, all toggleable via settings.
Score Table: Shows real-time Buy and Sell score components at the top center of the chart.
Signal Markers:
Main BUY: Green label ("BUY") below the bar.
Main SELL: Red label ("SELL") above the bar.
BUYS: Lime triangle up ("BUYS") below the bar.
SELLS: Fuchsia triangle down ("SELLS") above the bar.
STOP: Orange triangle down ("STOP") above the bar.
STRONG STOP: Red triangle down ("STRONG") above the bar.
Settings: Highly customizable thresholds, enable/disable conditions, and plot visibility.
Alert Support:
Configurable alerts for all signal types (Dynamic BUY, Dynamic SELL, BUYS, SELLS, STOP, STRONG STOP).
Alerts are gated by enable settings for main BUY/SELL and STOP/STRONG STOP signals to prevent unwanted notifications.
How to Use
Add the Indicator:
Apply the indicator to your chart via TradingView’s Pine Editor or Indicator Library.
By default, only the additional BUYS/SELLS signals are active, along with SMA50/200, AGMA, and MACD plots.
Customize Settings:
Thresholds: Adjust buyThresholdLow, buyThresholdHigh, etc., to fine-tune the sensitivity of main BUY/SELL signals.
Enable Signals: Check "Enable Main BUY Signals", "Enable Main SELL Signals", "Enable STOP Signals", or "Enable STRONG STOP Signals" to activate these signals.
Toggle Plots: Use "Show Daily SMA50/200", "Show AGMA", and "Show MACD and Signal Line" to control chart visuals.
Score Conditions: Enable/disable individual score components (e.g., "Price Above Daily SMA50") to focus on specific indicators.
Interpret Signals:
Main BUY/SELL: Use for primary entry (BUY) and exit (SELL) decisions, ideal for swing or trend-following strategies.
BUYS/SELLS: Monitor for early trend changes or confirmation of momentum, suitable for shorter-term trades.
STOP/STRONG STOP: Consider as warnings to tighten stops or exit positions, especially in volatile markets.
Check the score table to understand which conditions are driving the signals.
Set Alerts:
Create alerts for desired signals (e.g., "Dynamic BUY Signal") via TradingView’s alert menu.
Ensure the corresponding signal is enabled in settings to receive alerts.
Notes for Traders
Timeframe Flexibility: The indicator adapts to different timeframes, with lower timeframe MACD and AGMA calculations for STOP signals. Test on your preferred timeframe (e.g., 1H, 4H, 1D).
Risk Management: Always combine signals with proper risk management, such as stop-loss orders, as STOP/STRONG STOP signals are not guaranteed exit points.
Backtesting: Before trading, backtest the indicator on historical data to evaluate performance with your strategy.
Customization: Adjust score weights (e.g., scoreSMA50AbovePrice) or Bayesian conditions to align with specific assets or market conditions.
Why This Indicator?
The IQ Trader's Technical Scoring System SS stands out for its blend of traditional and advanced analytics. The Bayesian trend analysis adds a probabilistic layer to decision-making, while the dynamic scoring system ensures signals are context-aware (above/below SMA50). Whether you're a swing trader, day trader, or risk-conscious investor, this indicator offers actionable insights with customizable controls.
Feedback Welcome: Share your experience or suggestions in the comments to help improve this tool for the TradingView community!
BeeQuant - Hive Bars🔶 OVERVIEW
The "Hive Bars" indicator is a truly revolutionary analytical instrument, meticulously engineered to transcend the limitations of conventional price charting and unveil the profound, underlying essence of market dynamics. Imagine possessing a sophisticated visual engine that intelligently reconstructs raw price data into unique, dynamically consolidated "Hive Bars." These specialized constructs intuitively reveal the dominant market momentum and highlight high-conviction signals often obscured by the ubiquitous noise of traditional candlesticks. This indicator acts as a precision filter, illuminating exactly when pivotal shifts are occurring by coloring these reconstructed units with an adaptive, unparalleled accuracy. It is expertly crafted for the discerning trader seeking an undeniable analytical advantage, offering a fresh, meticulously refined perspective that enables the discernment of concealed patterns, fostering more decisive and confident trading actions. Crucially, "Hive Bars" now feature proactive, real-time alert capabilities, ensuring no critical market inflection point ever goes unnoticed.
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🧠 CONCEPTS
At its intellectual core, the "Hive Bars" indicator operates upon an advanced, proprietary framework that fundamentally reinterprets market data. It presents this refined information through its unique "Hive Bars"—specialized visual constructs that dynamically encapsulate the consolidated spirit and true directional bias of price action, delivering unparalleled clarity.
⬜ Smart Bar Reconstruction: Hive Bars don’t follow time, they follow the market. They are derived through a sophisticated, multi-faceted internal process that precisely captures the dominant price influence and momentum over variable periods. This structure adapts dynamically to changing conditions, letting you see the real pressure behind price moves with consistency that time-based candles can’t match. This proprietary reconstruction creates a new, inherently consistent, and highly focused visual narrative of underlying market flow, effectively stripping away extraneous "noise" and revealing the market's authentic directional intent.
⬜ Multi-Layered Internal Analysis: A dynamic and live, adaptive line powers the core of Hive Bars. It recalibrates constantly, tracking market structure in real time. Every bar is formed in relation to this internal baseline, giving immediate context to price behavior. You choose the data that drives this line—open, close, high, low, or custom blends—to match your style.
⬜ Intelligent Bar Formation Sequences: Bars are created when the market speaks, not when the clock ticks. A built-in pattern engine reads the flow and waits for real structure to form. This allows the indicator to autonomously consolidate price action, presenting a cleaner, more coherent visualization of trend development as it truly unfolds, rather than fragmented snapshots based on time.
⬜ Visual Signal Precision: "Hive Bars" spring to life with an intuitively powerful coloring system. While primary colors (Green for upward bias, Red for downward bias) denote the prevailing market direction, the "Hive Bars" indicator introduces distinctively colored "Signal Hive Bars". These specialized bars emerge when the market price exhibits a particularly robust, high-conviction interaction with the adaptive internal baseline, standing out instantly and often mark key turning points or breakouts you want to act on.
⬜ Daily Reset Option: For intraday traders, there’s a reset feature that clears the internal build-up at the start of each new trading day. This ensures fresh, unbiased perspectives that are meticulously tailored to the distinct market dynamics and cyclic rhythms of the current trading day.
⬜ Adjustable Sensitivity: With Hive Smoothing, you’re in full control. This setting lets you fine-tune how sensitive the bars are to price movement. Want tighter, faster signals? Dial it down. Prefer broader, more filtered setups? Turn it up. You decide when a new Hive Bar forms—and when a Signal Bar confirms. It’s all based on how you trade and how your asset moves. No guesswork, no one-size-fits-all defaults. Hive Bars adapts to your strategy and trading style, not the other way around.
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✨ FEATURES
The "Hive Bars" indicator is equipped with a comprehensive suite of cutting-edge features, designed for unparalleled clarity, adaptive responsiveness, augmented analytical depth, seamless interoperability with your broader analytical toolkit, and proactive real-time notifications:
🔹Proprietary Hive Bar Reconstruction
Experience a uniquely advanced visual representation of price action that dynamically consolidates market data, leading to enhanced trend and momentum clarity that goes beyond standard charting and candlestick data.
🔹Customizable Internal Analysis Line
Gain precise control over the underlying adaptive baseline's calculation by selecting various internal price source options, ensuring its alignment with your specific analytical focus.
🔹 Smart Alerts for Key Events 🔔
Get notified in real time when:
◦ A new Hive Bar completes – signaling a fresh structural range reset
◦ A new Signal Hive Bar closes – identifying a potential overbought or oversold condition
Built-in alert conditions make it easy to stay ahead of shifts without watching every candle manually.
🔹Intelligent Bar Formation Sequencing
Diamond-shaped markers clearly indicate the start of the indicator's internal combination logic for enhanced visual understanding.
🔹High-Conviction "Signal Hive Bars" (Distinct Colors)
Receive specialized, uniquely colored visual alerts when Hive Bars exhibit strong, decisive movements relative to the adaptive baseline, indicating moments of heightened market conviction and potential opportunity.
🔹Session-Based Reconstruction
Opt for the "Daily New Start" to intelligently reset the indicator's perspective with each new trading day, providing fresh, session-aligned insights tailored for intraday precision.
🔹Unrivaled External Indicator Collaboration
A truly unique and powerful advantage of "Hive Bars" is its capability to seamlessly integrate and profoundly enhance the performance of other external indicators. By outputting clean, smoothed price data, it lets you feed a higher-quality source into tools like RSI, MACD, moving averages etc. Use close for indicators like RSI, and close for moving averages. The result is better clarity, fewer false signals, and a stronger edge across your setup. Hive Bars isn’t just an indicator, it’s an upgrade for everything you use.
🔹Non-Repainting Historical Integrity
Hive Bars never repaints. Each bar is locked in only after all internal conditions are fully met. This means you can trust every historical signal—it won’t shift or vanish after the fact. What you see in hindsight is exactly what was shown in real time.
🔹Universal Timeframe Compatibility
Whether you're scalping on the 1-minute chart or analyzing multi-month trends, Hive Bars delivers consistent, clean insights. Its architecture adapts to any timeframe without losing fidelity, making it a reliable tool for any strategy or style.
🔹Cross-Market Versatility
Hive Bars is engineered to perform with precision across all major markets—whether you're trading forex, commodities, stocks, or indices. Its adaptive logic automatically aligns with the unique volatility and structure of each asset class, delivering consistently reliable insights no matter where you trade.
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⚙️ USAGE
Integrating the "Hive Bars" indicator into your daily analytical regimen is an intuitive process that will profoundly enhance your ability to discern crucial market dynamics and spot high-conviction opportunities with unprecedented clarity:
💁 Effortless Application
Simply add the "Hive Bars" indicator to any chart within your TradingView platform. Note that it plots on a separate panel below your main price chart to provide its unique visual output without obscuring the primary price action.
📊 Strategic Calibration
Access the indicator's comprehensive settings panel to meticulously calibrate its powerful engines and unlock its full potential:
⚙ "Internal EMA Config"
Configure the internal adaptive baseline by choosing its source (e.g., CLOSE, HL/2) and its specific EMA length. This shapes the core reference point for the dynamic formation of the "Hive Bars."
🤖 "CONFIG Group"
Here, you decide if you want "Daily New Start" for session-based analytical resets (particularly beneficial for intraday strategies). The "Hive Smoothing" input allows you to control a further layer of consolidation for the "Hive Bars."
🟩🟥 "Color": Customize the appearance of both standard "Hive Bars" and "Signal Hive Bars" to suit your visual preferences, enhancing their immediate interpretability.
🧭 Empirical Exploration
Experimentation with these parameters is paramount. Dedicate time to exploring different combinations across various assets and timeframes to discover the optimal configuration that resonates with your unique trading methodology and the inherent volatility of the market being analyzed.
👀 Interpreting the Unveiled Market Reality: Once calibrated, the "Hive Bars" will present a strikingly clear and actionable picture of market dynamics:
+ Green/Red Hive Bars: These visually denote the consolidated directional bias of the market over the reconstructed period. A sustained sequence of Green "Hive Bars" suggests pervasive bullish pressure and an upward path of least resistance, while a series of Red "Hive Bars" indicates dominant bearish control and a clear downward momentum.
+ "Signal Hive Bars" (Distinct Colors): Pay close attention to these specially colored "Hive Bars." They signify critical moments where the reconstructed price action exhibits a particularly strong, high-conviction interaction with its adaptive internal baseline. These often precede or confirm significant market movements and serve as your clearest, most reliable visual triggers for potential shifts in market control.
⛓️ Intermittent Appearance: Observe that "Hive Bars" do not necessarily appear for every single native time unit of your chart. They are intelligently reconstructed and consolidated representations of price action, appearing only when specific internal conditions are met to present a coherent, high-impact view of distinct market phases.
🔗 Harnessing Advanced External Synergy: To unlock a new dimension of analytical power, profoundly enhance your existing indicator suite by integrating the output of "Hive Bars" as the data source for other external indicators. When adding or configuring indicators such as RSI, Stochastic Oscillators, various Moving Averages (EMA, SMA), or any other indicator that prompts for a 'source' input, you can now select the purified output of the "Hive Bars" as your desired data stream.
For oscillators (e.g., RSI, MACD), select the close or a similar relevant output from "Hive Bars" as your source. This allows the oscillator to react to the purified, consolidated momentum of the "Hive Bars" rather than the potentially noisy raw price data, leading to smoother and more meaningful oscillator signals.
For moving averages (e.g., EMA, SMA), utilize the close or other pertinent "Hive Bar" output as your source. This provides an exceptionally smooth, highly responsive, and less choppy average that precisely tracks the true underlying trend as identified by "Hive Bars." This unique capability allows for the construction of powerfully layered and synergistic trading strategies.
📢 Setting Up Proactive Alerts for Critical Events: Leverage the newly incorporated alert capabilities to maintain real-time awareness of pivotal market developments, even when not actively monitoring your charts.
You can now choose to be alerted specifically when a "New Hive Bar Closed" (signifying the definitive completion of a major market phase as identified by the indicator) or when a "New Signal Hive Bar Closed" (highlighting a high-conviction market event that warrants immediate attention due to its pronounced significance).
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⚠️ LIMITATIONS
While the "Hive Bars" indicator is an incredibly powerful and advanced tool for dissecting market dynamics, it is vital to understand its inherent design parameters and the prevailing platform-specific constraints for optimal and informed utilization:
👉 Visual Gaps in Plotting: Due to current platform limitations pertaining to custom candle plotting functionality, you may occasionally observe visual gaps or intermittent non-contiguous plotting between "Hive Bars" on the chart. They’re not missing data, but a result of strict plotting rules. A bar is only drawn when all internal conditions are met. This ensures accuracy, even if the chart shows some spacing.
👉 Complementary Tool: This indicator excels at providing high-conviction directional insights and identifying significant market phases. However, it is fundamentally designed as a sophisticated complementary tool to a broader trading strategy, not as a standalone, all-encompassing system. Its true power is unlocked when integrated with other analytical methods.
👉 Input Calibration Essential: The efficacy and depth of insights derived from the "Hive Bars" are highly dependent on the careful and thoughtful calibration of its input parameters, including the "Internal EMA Config," "Hive Smoothing" setting. Optimal results necessitate empirical user experimentation and fine-tuning to discover the configurations best suited for specific assets, analytical objectives, and market conditions.
👉 Exclusion of Auxiliary Data: The "Hive Bars" indicator's primary focus is exclusively on transforming and presenting price data. It does not natively incorporate other vital market information such as fundamental economic data, or news events. Integrating these additional analytical layers remains an essential aspect of constructing a truly comprehensive and robust trading strategy.
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🎯 CONCLUSION
The "Hive Bars" indicator offers an unparalleled, intuitively accessible, and highly adaptable framework for instantly grasping true price momentum and direction through its intelligent, non-repainting reconstruction of market data. By transforming chaotic raw data into strikingly clear, high-conviction "Hive Bars" and dynamic signals, and now with proactive alerts to highlight critical moments, it empowers you to cut through distractions and identify market currents with unprecedented ease. Think of it as a custom lens for the market. It filters out the clutter and shows you the real structure—bars formed not by time, but by intent. It's about seeing the unseen, with enhanced clarity and a deeper understanding of market forces, now with the power to supercharge all your other tools and keep you informed. No fluff. No hype. Just an edge you can actually see—and use.
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🚨 RISK DISCLAIMER
Engagement in financial market speculation inherently carries a substantial degree of inherent risk, and the potential for capital diminution, potentially exceeding initial deposits, is a pervasive and non-trivial consideration. All content, algorithmic tools, scripts, articles, and educational materials disseminated by "Hive Bars" are exclusively purposed for informational and pedagogical objectives, strictly for reference. Historical performance data, whether explicitly demonstrated or implicitly suggested, offers no infallible assurance or guarantee of future outcomes. Users bear sole and ultimate accountability for their individual trading decisions and are emphatically urged to meticulously assess their financial disposition, risk tolerance parameters, and conduct independent due diligence prior to engaging in any speculative activity.
Sabbz Golden indicatorIndicator Name: Sabbz Golden Indicator
Short Title: Sabbz
Purpose: A comprehensive trading indicator designed for multiple trading styles (scalping, day trading, and trend following) by combining technical analysis tools such as EMAs, VWAP, support/resistance levels, order blocks, supply/demand zones, RSI, MACD, and volume analysis. It provides visual signals, trend analysis, and a dashboard for real-time decision-making.
Key Features
Exponential Moving Averages (EMAs):
Calculates four EMAs (Fast: 9, Medium: 21, Slow: 50, Trend: 200) to assess short, medium, and long-term trends.
Dynamic coloring based on trend direction:
Fast EMA: Lime (bullish), Red (bearish), Yellow (neutral).
Medium EMA: Blue (bullish), Orange (bearish), Gray (neutral).
Slow EMA: Green (bullish), Red (bearish), Purple (neutral).
Trend EMA: Green (bullish), Red (bearish).
Volume-Weighted Average Price (VWAP):
Plots VWAP with ±1σ deviation bands to identify dynamic support/resistance.
VWAP trend direction (bullish if close > VWAP and VWAP rising, bearish if close < VWAP and VWAP falling) informs trading signals.
Multi-Timeframe Analysis:
Incorporates 5-minute and 15-minute EMA (9 and 21) data to confirm trends across timeframes, enhancing signal reliability.
Support and Resistance Levels:
Detects key support/resistance levels using fractal-based pivot points (5-bar left/right lookback).
Tracks touches of levels (minimum 3 touches required) within a 50-bar lookback.
Levels are filtered to stay within ±0.5% of the current price to avoid clutter.
Break of structure (BoS) signals are generated when price breaks key levels by a user-defined threshold (default: 0.1%).
Order Blocks:
Identifies bullish and bearish order blocks based on strong price reversals with high volume.
Visualized as green (bullish) or red (bearish) boxes on the chart.
Supply and Demand Zones:
Detects fresh demand zones (price drops to a 10-bar low, bounces with high volume) and supply zones (price reaches a 10-bar high, reverses with high volume).
Plotted as blue (demand) or orange (supply) boxes, adjusted by ±0.5 ATR for width.
Scalping Signals:
Generates scalp long/short signals for 1-5 minute timeframes based on:
Short-term EMA trend (9 > 21 for long, 9 < 21 for short).
RSI oversold (<30, rising) for longs or overbought (>70, falling) for shorts.
MACD momentum (histogram positive and rising for longs, negative and falling for shorts).
Volume spike (volume > 1.5x 20-period SMA).
Price above/below VWAP.
Day Trading Signals:
Generates day trading long/short signals for 5-15 minute timeframes based on:
Medium-term trend (EMA 9 > 21 and 21 > 50 for long, opposite for short).
Break of key resistance (long) or support (short).
Multi-timeframe EMA confirmation (5m and 15m).
Volume spike.
Trend Following Signals:
Generates swing/position trading signals based on:
Strong trend (short, medium, long-term EMAs aligned, VWAP trend, and multi-timeframe confirmation).
Presence of fresh demand/supply zones or order blocks.
RSI not overextended (<60 for longs, >40 for shorts).
Volume Analysis:
Uses a 20-period SMA of volume to detect spikes (>1.5x SMA) and high volume (>2x SMA) for signal confirmation.
Dashboard:
Displays real-time data in a top-right table with:
Timeframe: Scalping, Day Trading, Trend Following.
Trend: Bullish, Bearish, Neutral, or Strong Bull/Bear based on EMA and VWAP conditions.
Signal: Long, Short, or Wait based on entry conditions.
Levels: Key support, resistance, VWAP, and RSI values with status (Overbought, Oversold, Neutral).
Color-coded for quick interpretation.
Visual Elements:
Plots EMAs, VWAP, support/resistance levels, order blocks, and supply/demand zones.
Entry signals are marked with triangles (up for long, down for short) of varying sizes (small for scalping, normal for day trading, large for trend following) and colors (e.g., aqua for scalp long, purple for scalp short).
Background coloring indicates trend strength (green for bullish, red for bearish, gray for neutral).
Alerts:
Configurable alerts for:
Scalping Long/Short entries.
Day Trading Long/Short entries.
Trend Following Long/Short entries.
Resistance/Support breaks.
Input Parameters
EMAs:
Fast EMA (default: 9), Medium EMA (21), Slow EMA (50), Trend EMA (200).
Support/Resistance:
Lookback (50 bars), Minimum Touches (3), Break Threshold (0.1%).
Scalping:
RSI Length (14), Overbought (70), Oversold (30), Volume MA (20).
Display Options:
Toggle signals, support/resistance levels, supply/demand zones, and order blocks (all default to true).
Usage
Scalping: Use on 1-5 minute charts for quick entries/exits based on scalp signals.
Day Trading: Use on 5-15 minute charts for break-of-structure trades with multi-timeframe confirmation.
Trend Following: Use on higher timeframes (e.g., 1H, 4H) for swing/position trades aligned with strong trends.
Dashboard: Monitor trend and signal status for all timeframes in real-time.
Alerts: Set up alerts to automate trade notifications.
Notes
Performance: The indicator is computationally intensive due to multi-timeframe calculations and array-based support/resistance logic. Test on your platform to ensure smooth performance.
Customization: Adjust input parameters (e.g., EMA lengths, RSI thresholds) to suit specific markets or trading styles.
Limitations: Signals are based on historical data and technical conditions; always combine with risk management and market context.
real_time_candlesIntroduction
The Real-Time Candles Library provides comprehensive tools for creating, manipulating, and visualizing custom timeframe candles in Pine Script. Unlike standard indicators that only update at bar close, this library enables real-time visualization of price action and indicators within the current bar, offering traders unprecedented insight into market dynamics as they unfold.
This library addresses a fundamental limitation in traditional technical analysis: the inability to see how indicators evolve between bar closes. By implementing sophisticated real-time data processing techniques, traders can now observe indicator movements, divergences, and trend changes as they develop, potentially identifying trading opportunities much earlier than with conventional approaches.
Key Features
The library supports two primary candle generation approaches:
Chart-Time Candles: Generate real-time OHLC data for any variable (like RSI, MACD, etc.) while maintaining synchronization with chart bars.
Custom Timeframe (CTF) Candles: Create candles with custom time intervals or tick counts completely independent of the chart's native timeframe.
Both approaches support traditional candlestick and Heikin-Ashi visualization styles, with options for moving average overlays to smooth the data.
Configuration Requirements
For optimal performance with this library:
Set max_bars_back = 5000 in your script settings
When using CTF drawing functions, set max_lines_count = 500, max_boxes_count = 500, and max_labels_count = 500
These settings ensure that you will be able to draw correctly and will avoid any runtime errors.
Usage Examples
Basic Chart-Time Candle Visualization
// Create real-time candles for RSI
float rsi = ta.rsi(close, 14)
Candle rsi_candle = candle_series(rsi, CandleType.candlestick)
// Plot the candles using Pine's built-in function
plotcandle(rsi_candle.Open, rsi_candle.High, rsi_candle.Low, rsi_candle.Close,
"RSI Candles", rsi_candle.candle_color, rsi_candle.candle_color)
Multiple Access Patterns
The library provides three ways to access candle data, accommodating different programming styles:
// 1. Array-based access for collection operations
Candle candles = candle_array(source)
// 2. Object-oriented access for single entity manipulation
Candle candle = candle_series(source)
float value = candle.source(Source.HLC3)
// 3. Tuple-based access for functional programming styles
= candle_tuple(source)
Custom Timeframe Examples
// Create 20-second candles with EMA overlay
plot_ctf_candles(
source = close,
candle_type = CandleType.candlestick,
sample_type = SampleType.Time,
number_of_seconds = 20,
timezone = -5,
tied_open = true,
ema_period = 9,
enable_ema = true
)
// Create tick-based candles (new candle every 15 ticks)
plot_ctf_tick_candles(
source = close,
candle_type = CandleType.heikin_ashi,
number_of_ticks = 15,
timezone = -5,
tied_open = true
)
Advanced Usage with Custom Visualization
// Get custom timeframe candles without automatic plotting
CandleCTF my_candles = ctf_candles_array(
source = close,
candle_type = CandleType.candlestick,
sample_type = SampleType.Time,
number_of_seconds = 30
)
// Apply custom logic to the candles
float ema_values = my_candles.ctf_ema(14)
// Draw candles and EMA using time-based coordinates
my_candles.draw_ctf_candles_time()
ema_values.draw_ctf_line_time(line_color = #FF6D00)
Library Components
Data Types
Candle: Structure representing chart-time candles with OHLC, polarity, and visualization properties
CandleCTF: Extended candle structure with additional time metadata for custom timeframes
TickData: Structure for individual price updates with time deltas
Enumerations
CandleType: Specifies visualization style (candlestick or Heikin-Ashi)
Source: Defines price components for calculations (Open, High, Low, Close, HL2, etc.)
SampleType: Sets sampling method (Time-based or Tick-based)
Core Functions
get_tick(): Captures current price as a tick data point
candle_array(): Creates an array of candles from price updates
candle_series(): Provides a single candle based on latest data
candle_tuple(): Returns OHLC values as a tuple
ctf_candles_array(): Creates custom timeframe candles without rendering
Visualization Functions
source(): Extracts specific price components from candles
candle_ctf_to_float(): Converts candle data to float arrays
ctf_ema(): Calculates exponential moving averages for candle arrays
draw_ctf_candles_time(): Renders candles using time coordinates
draw_ctf_candles_index(): Renders candles using bar index coordinates
draw_ctf_line_time(): Renders lines using time coordinates
draw_ctf_line_index(): Renders lines using bar index coordinates
Technical Implementation Notes
This library leverages Pine Script's varip variables for state management, creating a sophisticated real-time data processing system. The implementation includes:
Efficient tick capturing: Samples price at every execution, maintaining temporal tracking with time deltas
Smart state management: Uses a hybrid approach with mutable updates at index 0 and historical preservation at index 1+
Temporal synchronization: Manages two time domains (chart time and custom timeframe)
The tooltip implementation provides crucial temporal context for custom timeframe visualizations, allowing users to understand exactly when each candle formed regardless of chart timeframe.
Limitations
Custom timeframe candles cannot be backtested due to Pine Script's limitations with historical tick data
Real-time visualization is only available during live chart updates
Maximum history is constrained by Pine Script's array size limits
Applications
Indicator visualization: See how RSI, MACD, or other indicators evolve in real-time
Volume analysis: Create custom volume profiles independent of chart timeframe
Scalping strategies: Identify short-term patterns with precisely defined time windows
Volatility measurement: Track price movement characteristics within bars
Custom signal generation: Create entry/exit signals based on custom timeframe patterns
Conclusion
The Real-Time Candles Library bridges the gap between traditional technical analysis (based on discrete OHLC bars) and the continuous nature of market movement. By making indicators more responsive to real-time price action, it gives traders a significant edge in timing and decision-making, particularly in fast-moving markets where waiting for bar close could mean missing important opportunities.
Whether you're building custom indicators, researching price patterns, or developing trading strategies, this library provides the foundation for sophisticated real-time analysis in Pine Script.
Implementation Details & Advanced Guide
Core Implementation Concepts
The Real-Time Candles Library implements a sophisticated event-driven architecture within Pine Script's constraints. At its heart, the library creates what's essentially a reactive programming framework handling continuous data streams.
Tick Processing System
The foundation of the library is the get_tick() function, which captures price updates as they occur:
export get_tick(series float source = close, series float na_replace = na)=>
varip float price = na
varip int series_index = -1
varip int old_time = 0
varip int new_time = na
varip float time_delta = 0
// ...
This function:
Samples the current price
Calculates time elapsed since last update
Maintains a sequential index to track updates
The resulting TickData structure serves as the fundamental building block for all candle generation.
State Management Architecture
The library employs a sophisticated state management system using varip variables, which persist across executions within the same bar. This creates a hybrid programming paradigm that's different from standard Pine Script's bar-by-bar model.
For chart-time candles, the core state transition logic is:
// Real-time update of current candle
candle_data := Candle.new(Open, High, Low, Close, polarity, series_index, candle_color)
candles.set(0, candle_data)
// When a new bar starts, preserve the previous candle
if clear_state
candles.insert(1, candle_data)
price.clear()
// Reset state for new candle
Open := Close
price.push(Open)
series_index += 1
This pattern of updating index 0 in real-time while inserting completed candles at index 1 creates an elegant solution for maintaining both current state and historical data.
Custom Timeframe Implementation
The custom timeframe system manages its own time boundaries independent of chart bars:
bool clear_state = switch settings.sample_type
SampleType.Ticks => cumulative_series_idx >= settings.number_of_ticks
SampleType.Time => cumulative_time_delta >= settings.number_of_seconds
This dual-clock system synchronizes two time domains:
Pine's execution clock (bar-by-bar processing)
The custom timeframe clock (tick or time-based)
The library carefully handles temporal discontinuities, ensuring candle formation remains accurate despite irregular tick arrival or market gaps.
Advanced Usage Techniques
1. Creating Custom Indicators with Real-Time Candles
To develop indicators that process real-time data within the current bar:
// Get real-time candles for your data
Candle rsi_candles = candle_array(ta.rsi(close, 14))
// Calculate indicator values based on candle properties
float signal = ta.ema(rsi_candles.first().source(Source.Close), 9)
// Detect patterns that occur within the bar
bool divergence = close > close and rsi_candles.first().Close < rsi_candles.get(1).Close
2. Working with Custom Timeframes and Plotting
For maximum flexibility when visualizing custom timeframe data:
// Create custom timeframe candles
CandleCTF volume_candles = ctf_candles_array(
source = volume,
candle_type = CandleType.candlestick,
sample_type = SampleType.Time,
number_of_seconds = 60
)
// Convert specific candle properties to float arrays
float volume_closes = volume_candles.candle_ctf_to_float(Source.Close)
// Calculate derived values
float volume_ema = volume_candles.ctf_ema(14)
// Create custom visualization
volume_candles.draw_ctf_candles_time()
volume_ema.draw_ctf_line_time(line_color = color.orange)
3. Creating Hybrid Timeframe Analysis
One powerful application is comparing indicators across multiple timeframes:
// Standard chart timeframe RSI
float chart_rsi = ta.rsi(close, 14)
// Custom 5-second timeframe RSI
CandleCTF ctf_candles = ctf_candles_array(
source = close,
candle_type = CandleType.candlestick,
sample_type = SampleType.Time,
number_of_seconds = 5
)
float fast_rsi_array = ctf_candles.candle_ctf_to_float(Source.Close)
float fast_rsi = fast_rsi_array.first()
// Generate signals based on divergence between timeframes
bool entry_signal = chart_rsi < 30 and fast_rsi > fast_rsi_array.get(1)
Final Notes
This library represents an advanced implementation of real-time data processing within Pine Script's constraints. By creating a reactive programming framework for handling continuous data streams, it enables sophisticated analysis typically only available in dedicated trading platforms.
The design principles employed—including state management, temporal processing, and object-oriented architecture—can serve as patterns for other advanced Pine Script development beyond this specific application.
------------------------
Library "real_time_candles"
A comprehensive library for creating real-time candles with customizable timeframes and sampling methods.
Supports both chart-time and custom-time candles with options for candlestick and Heikin-Ashi visualization.
Allows for tick-based or time-based sampling with moving average overlay capabilities.
get_tick(source, na_replace)
Captures the current price as a tick data point
Parameters:
source (float) : Optional - Price source to sample (defaults to close)
na_replace (float) : Optional - Value to use when source is na
Returns: TickData structure containing price, time since last update, and sequential index
candle_array(source, candle_type, sync_start, bullish_color, bearish_color)
Creates an array of candles based on price updates
Parameters:
source (float) : Optional - Price source to sample (defaults to close)
candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)
sync_start (simple bool) : Optional - Whether to synchronize with the start of a new bar
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
Returns: Array of Candle objects ordered with most recent at index 0
candle_series(source, candle_type, wait_for_sync, bullish_color, bearish_color)
Provides a single candle based on the latest price data
Parameters:
source (float) : Optional - Price source to sample (defaults to close)
candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)
wait_for_sync (simple bool) : Optional - Whether to wait for a new bar before starting
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
Returns: A single Candle object representing the current state
candle_tuple(source, candle_type, wait_for_sync, bullish_color, bearish_color)
Provides candle data as a tuple of OHLC values
Parameters:
source (float) : Optional - Price source to sample (defaults to close)
candle_type (simple CandleType) : Optional - Type of candle chart to create (candlestick or Heikin-Ashi)
wait_for_sync (simple bool) : Optional - Whether to wait for a new bar before starting
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
Returns: Tuple representing current candle values
method source(self, source, na_replace)
Extracts a specific price component from a Candle
Namespace types: Candle
Parameters:
self (Candle)
source (series Source) : Type of price data to extract (Open, High, Low, Close, or composite values)
na_replace (float) : Optional - Value to use when source value is na
Returns: The requested price value from the candle
method source(self, source)
Extracts a specific price component from a CandleCTF
Namespace types: CandleCTF
Parameters:
self (CandleCTF)
source (simple Source) : Type of price data to extract (Open, High, Low, Close, or composite values)
Returns: The requested price value from the candle as a varip
method candle_ctf_to_float(self, source)
Converts a specific price component from each CandleCTF to a float array
Namespace types: array
Parameters:
self (array)
source (simple Source) : Optional - Type of price data to extract (defaults to Close)
Returns: Array of float values extracted from the candles, ordered with most recent at index 0
method ctf_ema(self, ema_period)
Calculates an Exponential Moving Average for a CandleCTF array
Namespace types: array
Parameters:
self (array)
ema_period (simple float) : Period for the EMA calculation
Returns: Array of float values representing the EMA of the candle data, ordered with most recent at index 0
method draw_ctf_candles_time(self, sample_type, number_of_ticks, number_of_seconds, timezone)
Renders custom timeframe candles using bar time coordinates
Namespace types: array
Parameters:
self (array)
sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks), used for tooltips
number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks), used for tooltips
number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time), used for tooltips
timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12), used for tooltips
Returns: void - Renders candles on the chart using time-based x-coordinates
method draw_ctf_candles_index(self, sample_type, number_of_ticks, number_of_seconds, timezone)
Renders custom timeframe candles using bar index coordinates
Namespace types: array
Parameters:
self (array)
sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks), used for tooltips
number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks), used for tooltips
number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time), used for tooltips
timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12), used for tooltips
Returns: void - Renders candles on the chart using index-based x-coordinates
method draw_ctf_line_time(self, source, line_size, line_color)
Renders a line representing a price component from the candles using time coordinates
Namespace types: array
Parameters:
self (array)
source (simple Source) : Optional - Type of price data to extract (defaults to Close)
line_size (simple int) : Optional - Width of the line
line_color (simple color) : Optional - Color of the line
Returns: void - Renders a connected line on the chart using time-based x-coordinates
method draw_ctf_line_time(self, line_size, line_color)
Renders a line from a varip float array using time coordinates
Namespace types: array
Parameters:
self (array)
line_size (simple int) : Optional - Width of the line, defaults to 2
line_color (simple color) : Optional - Color of the line
Returns: void - Renders a connected line on the chart using time-based x-coordinates
method draw_ctf_line_index(self, source, line_size, line_color)
Renders a line representing a price component from the candles using index coordinates
Namespace types: array
Parameters:
self (array)
source (simple Source) : Optional - Type of price data to extract (defaults to Close)
line_size (simple int) : Optional - Width of the line
line_color (simple color) : Optional - Color of the line
Returns: void - Renders a connected line on the chart using index-based x-coordinates
method draw_ctf_line_index(self, line_size, line_color)
Renders a line from a varip float array using index coordinates
Namespace types: array
Parameters:
self (array)
line_size (simple int) : Optional - Width of the line, defaults to 2
line_color (simple color) : Optional - Color of the line
Returns: void - Renders a connected line on the chart using index-based x-coordinates
plot_ctf_tick_candles(source, candle_type, number_of_ticks, timezone, tied_open, ema_period, bullish_color, bearish_color, line_width, ema_color, use_time_indexing)
Plots tick-based candles with moving average
Parameters:
source (float) : Input price source to sample
candle_type (simple CandleType) : Type of candle chart to display
number_of_ticks (simple int) : Number of ticks per candle
timezone (simple int) : Timezone offset from UTC (-12 to +12)
tied_open (simple bool) : Whether to tie open price to close of previous candle
ema_period (simple float) : Period for the exponential moving average
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
line_width (simple int) : Optional - Width of the moving average line, defaults to 2
ema_color (color) : Optional - Color of the moving average line
use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index
Returns: void - Creates visual candle chart with EMA overlay
plot_ctf_tick_candles(source, candle_type, number_of_ticks, timezone, tied_open, bullish_color, bearish_color, use_time_indexing)
Plots tick-based candles without moving average
Parameters:
source (float) : Input price source to sample
candle_type (simple CandleType) : Type of candle chart to display
number_of_ticks (simple int) : Number of ticks per candle
timezone (simple int) : Timezone offset from UTC (-12 to +12)
tied_open (simple bool) : Whether to tie open price to close of previous candle
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index
Returns: void - Creates visual candle chart without moving average
plot_ctf_time_candles(source, candle_type, number_of_seconds, timezone, tied_open, ema_period, bullish_color, bearish_color, line_width, ema_color, use_time_indexing)
Plots time-based candles with moving average
Parameters:
source (float) : Input price source to sample
candle_type (simple CandleType) : Type of candle chart to display
number_of_seconds (simple float) : Time duration per candle in seconds
timezone (simple int) : Timezone offset from UTC (-12 to +12)
tied_open (simple bool) : Whether to tie open price to close of previous candle
ema_period (simple float) : Period for the exponential moving average
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
line_width (simple int) : Optional - Width of the moving average line, defaults to 2
ema_color (color) : Optional - Color of the moving average line
use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index
Returns: void - Creates visual candle chart with EMA overlay
plot_ctf_time_candles(source, candle_type, number_of_seconds, timezone, tied_open, bullish_color, bearish_color, use_time_indexing)
Plots time-based candles without moving average
Parameters:
source (float) : Input price source to sample
candle_type (simple CandleType) : Type of candle chart to display
number_of_seconds (simple float) : Time duration per candle in seconds
timezone (simple int) : Timezone offset from UTC (-12 to +12)
tied_open (simple bool) : Whether to tie open price to close of previous candle
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index
Returns: void - Creates visual candle chart without moving average
plot_ctf_candles(source, candle_type, sample_type, number_of_ticks, number_of_seconds, timezone, tied_open, ema_period, bullish_color, bearish_color, enable_ema, line_width, ema_color, use_time_indexing)
Unified function for plotting candles with comprehensive options
Parameters:
source (float) : Input price source to sample
candle_type (simple CandleType) : Optional - Type of candle chart to display
sample_type (simple SampleType) : Optional - Method for sampling data (Time or Ticks)
number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks)
number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time)
timezone (simple int) : Optional - Timezone offset from UTC (-12 to +12)
tied_open (simple bool) : Optional - Whether to tie open price to close of previous candle
ema_period (simple float) : Optional - Period for the exponential moving average
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
enable_ema (bool) : Optional - Whether to display the EMA overlay
line_width (simple int) : Optional - Width of the moving average line, defaults to 2
ema_color (color) : Optional - Color of the moving average line
use_time_indexing (simple bool) : Optional - When true the function will plot with xloc.time, when false it will plot using xloc.bar_index
Returns: void - Creates visual candle chart with optional EMA overlay
ctf_candles_array(source, candle_type, sample_type, number_of_ticks, number_of_seconds, tied_open, bullish_color, bearish_color)
Creates an array of custom timeframe candles without rendering them
Parameters:
source (float) : Input price source to sample
candle_type (simple CandleType) : Type of candle chart to create (candlestick or Heikin-Ashi)
sample_type (simple SampleType) : Method for sampling data (Time or Ticks)
number_of_ticks (simple int) : Optional - Number of ticks per candle (used when sample_type is Ticks)
number_of_seconds (simple float) : Optional - Time duration per candle in seconds (used when sample_type is Time)
tied_open (simple bool) : Optional - Whether to tie open price to close of previous candle
bullish_color (color) : Optional - Color for bullish candles
bearish_color (color) : Optional - Color for bearish candles
Returns: Array of CandleCTF objects ordered with most recent at index 0
Candle
Structure representing a complete candle with price data and display properties
Fields:
Open (series float) : Opening price of the candle
High (series float) : Highest price of the candle
Low (series float) : Lowest price of the candle
Close (series float) : Closing price of the candle
polarity (series bool) : Boolean indicating if candle is bullish (true) or bearish (false)
series_index (series int) : Sequential index identifying the candle in the series
candle_color (series color) : Color to use when rendering the candle
ready (series bool) : Boolean indicating if candle data is valid and ready for use
TickData
Structure for storing individual price updates
Fields:
price (series float) : The price value at this tick
time_delta (series float) : Time elapsed since the previous tick in milliseconds
series_index (series int) : Sequential index identifying this tick
CandleCTF
Structure representing a custom timeframe candle with additional time metadata
Fields:
Open (series float) : Opening price of the candle
High (series float) : Highest price of the candle
Low (series float) : Lowest price of the candle
Close (series float) : Closing price of the candle
polarity (series bool) : Boolean indicating if candle is bullish (true) or bearish (false)
series_index (series int) : Sequential index identifying the candle in the series
open_time (series int) : Timestamp marking when the candle was opened (in Unix time)
time_delta (series float) : Duration of the candle in milliseconds
candle_color (series color) : Color to use when rendering the candle
[MAD] Weighted Trend Detector--> Purpose
The Weighted Trend Detector evaluates market direction by combining multiple technical indicators (RSI, MACD, Moving Averages, ADX, and Volume) across up to three different timeframes.
It calculates an overall trend score to help visualize whether conditions are bullish, bearish, or neutral.
--> Scaling & Weightings
Each component indicator contributes a score between -1.0 and +1.0. User-defined weights (e.g., 0.2 for RSI, 0.3 for MACD) determine how much each indicator influences the final score. An adaptive scaling mechanism ensures extreme values remain in view by dynamically setting the minimum and maximum of the score range over a specified lookback period.
--> Basic Parameters of Individual Indicators
RSI Period: Number of bars for the Relative Strength Index calculation; higher values smooth out noise but may lag.
MACD Fast/Slow/Signal: EMA-based periods to identify momentum shifts. A shorter “Fast” length reacts quickly, while a longer “Slow” length is smoother.
Moving Averages (Short & Long Lengths): Simple Moving Averages used to gauge shorter- vs. longer-term price direction.
ADX Length: Defines how many bars are considered when measuring trend strength. Higher values produce smoother ADX lines.
Volume MA Length: Period over which the average volume is calculated to compare against current volume.
--> Colors & How They Are Mixed
The background color scales from a negative color (for lower scores) to a positive color (for higher scores).
Near the highest or lowest parts of the score range, additional blending occurs if the slope (change in score) reverses:
Turning Down: Mixes with a user-chosen “warning” color if the score is high but moving lower.
Turning Up: Mixes with a user-chosen “recovery” color if the score is low but moving higher.
All colors (including line and label text) can be adjusted in the script’s inputs to suit personal preferences.colors are customizable via inputs.
Have fun :-)
Prediction Based on Linreg & Atr
We created this algorithm with the goal of predicting future prices 📊, specifically where the value of any asset will go in the next 20 periods ⏳. It uses linear regression based on past prices, calculating a slope and an intercept to forecast future behavior 🔮. This prediction is then adjusted according to market volatility, measured by the ATR 📉, and the direction of trend signals, which are based on the MACD and moving averages 📈.
How Does the Linreg & ATR Prediction Work?
1. Trend Calculation and Signals:
o Technical Indicators: We use short- and long-term exponential moving averages (EMA), RSI, MACD, and Bollinger Bands 📊 to assess market direction and sentiment (not visually presented in the script).
o Calculation Functions: These include functions to calculate slope, average, intercept, standard deviation, and Pearson's R, which are crucial for regression analysis 📉.
2. Predicting Future Prices:
o Linear Regression: The algorithm calculates the slope, average, and intercept of past prices to create a regression channel 📈, helping to predict the range of future prices 🔮.
o Standard Deviation and Pearson's R: These metrics determine the strength of the regression 🔍.
3. Adjusting the Prediction:
o The predicted value is adjusted by considering market volatility (ATR 📉) and the direction of trend signals 🔮, ensuring that the prediction is aligned with the current market environment 🌍.
4. Visualization:
o Prediction Lines and Bands: The algorithm plots lines that display the predicted future price along with a prediction range (upper and lower bounds) 📉📈.
5. EMA Cross Signals:
o EMA Conditions and Total Score: A bullish crossover signal is generated when the total score is positive and the short EMA crosses above the long EMA 📈. A bearish crossover signal is generated when the total score is negative and the short EMA crosses below the long EMA 📉.
6. Additional Considerations:
o Multi-Timeframe Regression Channel: The script calculates regression channels for different timeframes (5m, 15m, 30m, 4h) ⏳, helping determine the overall market direction 📊 (not visually presented).
Confidence Interpretation:
• High Confidence (close to 100%): Indicates strong alignment between timeframes with a clear trend (bullish or bearish) 🔥.
• Low Confidence (close to 0%): Shows disagreement or weak signals between timeframes ⚠️.
Confidence complements the interpretation of the prediction range and expected direction 🔮, aiding in decision-making for market entry or exit 🚀.
Español
Creamos este algoritmo con el objetivo de predecir los precios futuros 📊, específicamente hacia dónde irá el valor de cualquier activo en los próximos 20 períodos ⏳. Utiliza regresión lineal basada en los precios pasados, calculando una pendiente y una intersección para prever el comportamiento futuro 🔮. Esta predicción se ajusta según la volatilidad del mercado, medida por el ATR 📉, y la dirección de las señales de tendencia, que se basan en el MACD y las medias móviles 📈.
¿Cómo Funciona la Predicción con Linreg & ATR?
Cálculo de Tendencias y Señales:
Indicadores Técnicos: Usamos medias móviles exponenciales (EMA) a corto y largo plazo, RSI, MACD y Bandas de Bollinger 📊 para evaluar la dirección y el sentimiento del mercado (no presentados visualmente en el script).
Funciones de Cálculo: Incluye funciones para calcular pendiente, media, intersección, desviación estándar y el coeficiente de correlación de Pearson, esenciales para el análisis de regresión 📉.
Predicción de Precios Futuros:
Regresión Lineal: El algoritmo calcula la pendiente, la media y la intersección de los precios pasados para crear un canal de regresión 📈, ayudando a predecir el rango de precios futuros 🔮.
Desviación Estándar y Pearson's R: Estas métricas determinan la fuerza de la regresión 🔍.
Ajuste de la Predicción:
El valor predicho se ajusta considerando la volatilidad del mercado (ATR 📉) y la dirección de las señales de tendencia 🔮, asegurando que la predicción esté alineada con el entorno actual del mercado 🌍.
Visualización:
Líneas y Bandas de Predicción: El algoritmo traza líneas que muestran el precio futuro predicho, junto con un rango de predicción (límites superior e inferior) 📉📈.
Señales de Cruce de EMAs:
Condiciones de EMAs y Puntaje Total: Se genera una señal de cruce alcista cuando el puntaje total es positivo y la EMA corta cruza por encima de la EMA larga 📈. Se genera una señal de cruce bajista cuando el puntaje total es negativo y la EMA corta cruza por debajo de la EMA larga 📉.
Consideraciones Adicionales:
Canal de Regresión Multi-Timeframe: El script calcula canales de regresión para diferentes marcos de tiempo (5m, 15m, 30m, 4h) ⏳, ayudando a determinar la dirección general del mercado 📊 (no presentado visualmente).
Interpretación de la Confianza:
Alta Confianza (cerca del 100%): Indica una fuerte alineación entre los marcos temporales con una tendencia clara (alcista o bajista) 🔥.
Baja Confianza (cerca del 0%): Muestra desacuerdo o señales débiles entre los marcos temporales ⚠️.
La confianza complementa la interpretación del rango de predicción y la dirección esperada 🔮, ayudando en las decisiones de entrada o salida en el mercado 🚀.
Ultimate Multi-Physics Financial IndicatorThe Ultimate Multi-Physics Financial Indicator is an advanced Pine Script designed to combine various complex theories from physics, mathematics, and statistical mechanics to create a holistic, multi-dimensional approach to market analysis. Let’s break down the core concepts and how they’re applied in this script:
1. Fractal Geometry: Recursive Pattern Recognition
Purpose: This part of the script uses fractal geometry to recursively analyze price pivots (highs and lows) for detecting patterns.
Fractals: The fractalHigh and fractalLow signals represent key turning points in the market. The script goes deeper by recursively analyzing layers of pivot sequences, adding "depth" to the recognition of patterns.
Recursive Depth: It breaks down each detected pivot into smaller components, giving more nuance to market pattern recognition. This provides a broader context for how prices have behaved historically at various levels of recursion.
2. Quantum Mechanics: Adaptive Probabilistic Monte Carlo with Correlation
Purpose: This component integrates randomness (from Monte Carlo simulations) with current market behavior using correlation.
Randomness Weighted by Correlation: By generating random probabilities and weighting them based on how well the market aligns with recent trends, it creates a probabilistic signal. The random values are scaled by a correlation factor (close prices and their moving average), adding adaptive elements where randomness is adjusted by current market conditions.
3. Thermodynamics: Adaptive Efficiency Ratio (Entropy-Like Decay)
Purpose: This section uses principles from thermodynamics, where efficiency in price movement is dynamically adjusted by recent volatility and changes.
Efficiency Ratio: It calculates how efficiently the market is moving over a certain period. The "entropy decay factor" reflects how stable the market is. Higher entropy (chaos) results in lower efficiency, while stable periods maintain higher efficiency.
4. Chaos Theory: Lorenz-Driven Market Oscillation
Purpose: Instead of using a basic Average True Range (ATR) indicator, this section applies chaos theory (using a Lorenz attractor analogy) to describe complex market oscillations.
Lorenz Attractor: This models market behavior with a chaotic system that depends on the historical price changes at different time intervals. The attractor value quantifies the level of "chaos" or unpredictability in the market.
5. String Theory: Multi-Layered Dimensional Analysis of RSI and MACD
Purpose: Combines traditional indicators like the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) with momentum for multi-dimensional analysis.
Interaction of Layers: Each layer (RSI, MACD, and momentum) is treated as part of a multi-dimensional structure, where they influence one another. The final signal is a blended outcome of these key metrics, weighted and averaged for complexity.
6. Fluid Dynamics: Adaptive OBV (Pressure-Based)
Purpose: This section uses fluid dynamics to understand how price movement and volume create pressure over time, similar to how fluids behave under different forces.
Adaptive OBV: Traditional OBV (On-Balance Volume) is adapted by using statistical smoothing to measure the "pressure" exerted by volume over time. The result is a signal that shows where there might be building momentum or pressure in the market based on volume dynamics.
7. Recursive Synthesis of Signals
Purpose: After calculating all the individual signals (fractal, quantum, thermodynamic, chaos, string, and fluid), the script synthesizes them into one cohesive signal.
Recursive Feedback Loop: Each signal is recursively influenced by others, forming a feedback loop that allows the indicator to continuously learn from new data and self-adjust.
8. Signal Smoothing and Final Output
Purpose: To avoid noise in the output, the final combined signal is smoothed using an Exponential Moving Average (EMA), which helps stabilize the output for easier interpretation.
9. Dynamic Color Coding Based on Signal Extremes
Purpose: Visual clarity is enhanced by using color to highlight different levels of signal strength.
Color Coding: The script dynamically adjusts colors (green, orange, red) based on the strength of the final signal relative to its percentile ranking in historical data, making it easier to spot bullish, neutral, or bearish signals.
The "Ultimate Multi-Physics Financial Indicator" integrates a diverse array of scientific principles — fractal geometry, quantum mechanics, thermodynamics, chaos theory, string theory, and fluid dynamics — to provide a comprehensive market analysis tool. By combining probabilistic simulations, multi-dimensional technical indicators, and recursive feedback loops, this indicator adapts dynamically to evolving market conditions, giving traders a holistic view of market behavior across various dimensions. The result is an adaptive and flexible tool that responds to both short-term and long-term market changes
[GL3] SMA & EMA Crossover Ribbon with Reactive Gradient CloudsGL3] SMA & EMA Crossover Ribbon with Reactive Gradient Clouds
This indicator provides a powerful blend of technical analysis tools, integrating multiple moving averages, such as Simple Moving Average (SMA) and Exponential Moving Average (EMA), along with custom moving averages like Kaufman's Adaptive Moving Average (KAMA), Jurik Moving Average (JMA), and others. The crossover strategy aims to identify trend changes with precision across different timeframes.
Key Features:
Crossover Ribbon: A set of 5 moving average pairs to capture short-, mid-, and long-term trends. The crossover between the leading and trigger lines visually indicates potential buy (uptrend) and sell (downtrend) signals.
Reactive Gradient Clouds: Dynamically color-coded clouds that visualize momentum shifts using Stochastic, RSI, MACD, and Chande Momentum. These clouds help to react faster to price changes and confirm trends:
Stochastic Cloud: Blue for bullish and Orange for bearish trends.
RSI Cloud: Purple for bullish and Yellow for bearish trends.
MACD Cloud: Green for bullish and Red for bearish trends.
Chande Momentum Cloud: Aqua for bullish and Fuchsia for bearish trends.
Alerts: Custom alerts for significant crossovers in Stochastic, RSI, MACD, and Chande Momentum, allowing traders to stay informed of potential trend reversals.
Customizable Inputs: Flexible configuration for various moving averages, lengths, and source types, along with options to show/hide gradient clouds for each momentum indicator.
This indicator is designed for traders looking to capture multiple levels of trend direction and momentum shifts. The combination of crossovers and clouds provides a clear trend direction and quicker reaction to market moves, making it a versatile tool for various trading strategies.
Disclaimer: Past performance is not indicative of future results. Always use additional risk management tools and trade responsibly
No-Lag MA Crossover ScalperThe No Lag Crossover Scalper aims to capitalize on short-term trends using a combination of Hull Moving Average (HMA) for trend detection and multiple indicators for generating buy and sell signals. Here’s an overview of its components and approach:
1. Trend Detection with Hull Moving Averages (HMA) :
- Dual Hull MA Setup : Uses two Hull Moving Averages (HMA) to detect crossovers and crossunders, which are signals of short-term trend changes.
- No Lag Nature : HMAs are chosen for their ability to reduce lag compared to traditional moving averages, providing quicker responses to price movements.
2. Indicators for Signal Generation :
- Relative Strength Index (RSI) : Detects overbought and oversold conditions, generating signals when price movements diverge from RSI readings.
- Moving Average Convergence Divergence (MACD) : Provides signals based on the convergence and divergence of two moving averages, indicating potential trend reversals.
- Stochastic Oscillator (Stoch) : Identifies momentum shifts by comparing the current closing price to its range over a specific period.
- On-Balance Volume (OBV) : Measures buying and selling pressure based on volume flow, signaling potential changes in price direction.
- RSI Divergence : Looks for discrepancies between price action and RSI values, suggesting weakening trends and possible reversals.
3. Signal Generation Logic :
- Buy Signals : Generated when both HMAs cross over, supported by bullish indications from RSI, MACD, Stoch, OBV, or RSI divergence. At least 2 indicators must be true to generate a signal.
- Sell Signals : Triggered when HMAs cross under, complemented by bearish signals from the mentioned indicators.
4. Implementation and Optimization :
- Parameter Optimization : Fine-tuning of indicator periods and sensitivity settings to balance signal accuracy and responsiveness.
- Confirmation Mechanisms : Use of multiple indicators to confirm signals, reducing false positives and enhancing reliability.
Overall, the No Lag Crossover Scalper combines the speed of Hull Moving Averages with the reliability of multiple indicators to identify short-term trends effectively. By focusing on no lag indicators and confirming signals with diverse technical tools, it aims to capitalize on rapid market movements while managing risk through disciplined execution.
Credits: used TradingView ta library for a lot of the built-in indicators.
Disclaimer: This is still experimental beta version so use at your own risk.
MACD Bands - Multi Timeframe [TradeMaster Lite]We present a customizable MACD indicator, with the following features:
Multi-timeframe
Deviation bands to spot unusual volatility
9 Moving Average types
Conditional coloring and line crossings
👉 What is MACD?
MACD is a classic, trend-following indicator that uses moving averages to identify changes in momentum. It can be used to identify trend changes, overbought and oversold conditions, and potential reversals.
👉 Multi-timeframe:
This feature allows to analyze the same market data on multiple time frames, which can be in help to identify trends and patterns that would not be visible on a single time frame. When using the multi-timeframe feature, it is important to start with the higher time frame and then look for confirmation on the lower time frames. This will help you to avoid false signals. Please note that only timeframes higher than the chart timeframe is supported currently with this feature enabled. Might get updated in the future.
👉 Deviation bands to spot unusual volatility:
Deviation bands are plotted around the Signal line that can be in help to identify periods of unusual volatility. When the MACD line crosses outside of the deviation bands, it suggests that the market is becoming more volatile and a strong trend may form in that direction.
👉 9 Moving Average types can be used in the script. Each type of moving average offers a unique perspective and can be used in different scenarios to identify market trends.
SMA (Simple Moving Average): This calculates the average of a selected range of values, by the number of periods in that range.
SMMA (Smoothed Moving Average): This takes into account all data available and assigns equal weighting to the values.
EMA (Exponential Moving Average): This places a greater weight and significance on the most recent data points.
DEMA (Double Exponential Moving Average): This is a faster-moving average that uses a proprietary calculation to reduce the lag in data points.
TEMA (Triple Exponential Moving Average): This is even quicker than the DEMA, helping traders respond more quickly to changes in trend.
LSMA (Least Squares Moving Average): This moving average applies least squares regression method to determine the future direction of the trend.
HMA (Hull Moving Average): This moving average is designed to reduce lag and improve smoothness, providing quicker signals for short-term market movements.
VWMA (Volume Weighted Moving Average): This assigns more weight to candles with a high volume, reflecting the true average values more accurately in high volume periods.
WMA (Weighted Moving Average): This assigns more weight to the latest data, but not as much as the EMA.
👉 Conditional coloring :
This feature colors the MACD line line based on it's direction and fills the area between the MACD line and Deviation band edges to highlight the potential volatility and the strength of the momentum. This can be useful to identify when the market is trending strongly and when it is in a more neutral or choppy state.
👉 MACD Line - Signal Line crossings:
This is a classic MACD trading signal that occurs when the MACD line crosses above or below the signal line. Crossovers can be used to identify potential trend reversals. This can be a bullish or bearish signal, depending on the direction of the crossover.
👉 General advice
Confirming Signals with other indicators:
As with all technical indicators, it is important to confirm potential signals with other analytical tools, such as support and resistance levels, as well as indicators like RSI, MACD, and volume. This helps increase the probability of a successful trade.
Use proper risk management:
When using this or any other indicator, it is crucial to have proper risk management in place. Consider implementing stop-loss levels and thoughtful position sizing.
Combining with other technical indicators:
The indicator can be effectively used alongside other technical indicators to create a comprehensive trading strategy and provide additional confirmation.
Keep in Mind:
Thorough research and backtesting are essential before making any trading decisions. Furthermore, it's crucial to have a solid understanding of the indicator and its behavior. Additionally, incorporating fundamental analysis and considering market sentiment can be vital factors to take into account in your trading approach.
Limitations:
This is a lagging indicator. Please note that the indicator is using moving averages, which are lagging indicators.
The indicators within the TradeMaster Lite package aim for simplicity and efficiency, while retaining their original purpose and value. Some settings, functions or visuals may be simpler than expected.
⭐ Conclusion
We hold the view that the true path to success is the synergy between the trader and the tool, contrary to the common belief that the tool itself is the sole determinant of profitability. The actual scenario is more nuanced than such an oversimplification. Our aim is to offer useful features that meet the needs of the 21st century and that we actually use.
🛑 Risk Notice:
Everything provided by trademasterindicator – from scripts, tools, and articles to educational materials – is intended solely for educational and informational purposes. Past performance does not assure future returns.
Major and Minor Trend Indicator by Nikhil34a V 2.2Title: Major and Minor Trend Indicator by Nikhil34a V 2.2
Description:
The Major and Minor Trend Indicator v2.2 is a comprehensive technical analysis script designed for use with the TradingView platform. This powerful tool is developed in Pine Script version 5 and helps traders identify potential buying and selling opportunities in the stock market.
Features:
SMA Trend Analysis: The script calculates two Simple Moving Averages (SMAs) with user-defined lengths for major and minor trends. It displays these SMAs on the chart, allowing traders to visualize the prevailing trends easily.
Surge Detection: The indicator can detect buying and selling surges based on specific conditions, such as volume, RSI, MACD, and stochastic indicators. Both Buying and Selling surges are marked in black on the chart.
Option Buy Zone Detection: The script identifies the option buy zone based on SMA crossovers, RSI, and MACD values. The buy zone is categorized as "CE Zone" or "PE Zone" and displayed in the table along with the trigger time.
Two-Day High and Low Range: The script calculates the highest high and lowest low of the previous two trading days and plots them on the chart. The area between these points is shaded in semi-transparent green and red colors.
Crossover Analysis: The script analyzes moving average crossovers on multiple timeframes (2-minute, 3-minute, and 5-minute) and displays buy and sell signals accordingly.
Trend Identification: The script identifies the major and minor trends as either bullish or bearish, providing valuable insights into the overall market sentiment.
Usage:
Customize Major and Minor SMA Periods: Adjust the lengths of major and minor SMAs through input parameters to suit your trading preferences.
Enable/Disable Moving Averages: Choose which SMAs to display on the chart by toggling the "showXMA" input options.
Set Surge and Option Buy Zone Thresholds: Modify the surgeThreshold, volumeThreshold, RSIThreshold, and StochThreshold inputs to refine the surge and buy zone detection.
Analyze Crossover Signals: Monitor the crossover signals in the table, categorized by timeframes (2-minute, 3-minute, and 5-minute).
Explore Market Bias and Distance to 2-Day High/Low: The table provides information on market bias, current price movement relative to the previous two-day high and low, and the option buy zone status.
Additional Use Cases:
Surge Indicator:
The script includes a Surge Indicator that detects sudden buying or selling surges in the market. When a buying surge is identified, the "BSurge" label will appear below the corresponding candle with black text on a white background. Similarly, a selling surge will display the "SSurge" label in white text on a black background. These indicators help traders quickly spot strong buying or selling activities that may influence their trading decisions. These surges can be used to identify sudden premium dump zones.
Option Buy Zone:
The Option Buy Zone is an essential feature that identifies potential zones for buying call options (CE Zone) or put options (PE Zone) based on specific technical conditions. The indicator evaluates SMA crossovers, RSI, and MACD values to determine the current market sentiment. When the option buy zone is triggered, the script will display the respective zone ("CE Zone" or "PE Zone") in the table, highlighted with a white background. Additionally, the time when the buy zone was triggered will be shown under the "Option Buy Zone Trigger Time" column.
Price Movement Relative to 2-Day High/Low:
The script calculates the highest high and lowest low of the previous two trading days (high2DaysAgo and low2DaysAgo) and plots these points on the chart. The area between these two points is shaded in semi-transparent green and red colors. The green region indicates the price range between the highpricetoconsider (highest high of the previous two days) and the lower value between highPreviousDay and high2DaysAgo. Similarly, the red region represents the price range between the lowpricetoconsider (lowest low of the previous two days) and the higher value between lowPreviousDay and low2DaysAgo.
Entry Time and Current Zone:
The script identifies potential entry times for trades within the option buy zone. When a valid buy zone trigger occurs, the script calculates the entryTime by adding the durationInMinutes (user-defined) to the startTime. The entryTime will be displayed in the "Entry Time" column of the table. Depending on the comparison between optionbuyzonetriggertime and entryTime, the background color of the entry time will change. If optionbuyzonetriggertime is greater than entryTime, the background color will be yellow, indicating that a new trigger has occurred before the specified duration. Otherwise, the background color will be green, suggesting that the entry time is still within the defined duration.
Current Zone Indicator:
The script further categorizes the current zone as either "CE Zone" (call option zone) or "PE Zone" (put option zone). When the market is trending upwards and the minor SMA is above the major SMA, the currentZone will be set to "CE Zone." Conversely, when the market is trending downwards and the minor SMA is below the major SMA, the currentZone will be "PE Zone." This information is displayed in the "Current Zone" column of the table.
These additional use cases empower traders with valuable insights into market trends, buying and selling surges, option buy zones, and potential entry times. Traders can combine this information with their analysis and risk management strategies to make informed and confident trading decisions.
Note:
The script is optimized for identifying trends and potential trade opportunities. It is crucial to perform additional analysis and risk management before executing any trades based on the provided signals.
Happy Trading!
Multi-Indicator Confluence Signals *LITE*Description:
Introducing the Multi-Indicator Confluence Signals (MICS), a comprehensive trading tool designed to simplify the process of analyzing multiple technical indicators and uncluttering your screen!
You are able to select various pre-existing indicators, including Stochastic, RSI, MACD, EMA, DMI, Bollinger Bands, and a our own custom signal we created using only price action calculations which will provide a streamlined view of the market, allowing traders to focus on speed, trade execution, strategy, and chart reading.
We do this by converting the input from the above popular technical indicators and generate clear long and short signals by placing green(long) and/or red(short) arrows directly on the chart.
You also have the option to choose which indicators you want to show on the screen and also the option to choose long and/or short signals.
The values we have chosen to generate the signals can be seen in each of the respective indicator input (i) tab in the inputs options.
Here are some examples:
Stoch Long
Will turn on green arrow signals to inform you the smoothed, 14 period stochastic line has crossed over 20.
Stoch short
Will turn on red arrow signals to inform you the smoothed, 14 period stochastic line has crossed under 80.
MA long
Will turn on green arrow signals to inform you when the moving average of the last 21 bars has become larger than the moving average of the last 50 bars.
MA short
Will turn on red arrow signals to inform you when the moving average of the last 21 bars has become smaller than the moving average of the last 50 bars.
RSI Long
Will turn on green arrow signals to inform you when the 14 period rsi value has crossed under 70.
RSI short
Will turn on red arrow signals to inform you when the 14 period rsi value has crossed over 30.
Go from this (Imagine your own drawings+the above indicators):
To this! (Only long signals displayed)
Features :
Consolidated signals:
The MICS identifies bull and bearish signals from multiple indicators and presents them in a visual arrow pointing manner, enabling traders to quickly assess potential trade opportunities.
Unique price action arrows:
The price action arrows in the MICS trading tool are a unique feature that distinguish it from traditional technical indicators.
These arrows are generated solely based on recent price movement and are calculated using an algorithm that analyzes the strength of recent price action.
The algorithm also considers factors such as the length and intensity of the trend, as well as any notable support or resistance levels.
When the 'Price Action Long' or 'Price Action Short' options are enabled, the MICS will display green or red arrows respectively, indicating potential bullish or bearish signals.
These arrows complement the signals generated by other pre-existing technical indicators in the MICS .
Clutter-free charting:
By removing the need to display individual indicators on the chart, the MICS helps create a cleaner workspace, promoting better focus and decision-making.
Confluence-based trading:
The MICS is not designed to be used as a standalone trading system.
Instead, traders should utilize the signals as confluences to complement their pre-existing trade ideas, leading to more robust and well-informed strategies.
Mashup of Indicators:
Each indicator has its own strengths and weaknesses, but by combining them, the MICS can provide a more comprehensive view of the market.
For example, Stochastic and RSI are commonly used to measure overbought and oversold conditions, while MACD and EMA are used to identify trend direction. DMI, on the other hand, is used to gauge the strength of a trend, while Bollinger Bands can be used to identify potential breakouts.
By combining the signals from these indicators, the MICS can provide traders with a more nuanced view of the market, allowing them to make better-informed trading decisions, quickly!
How They Work Together:
The MICS generates signals by analyzing the input from each individual indicator.
If the majority of the indicators show a bullish trend, the MICS will display this by showing the indicators you selected in the settings with green long arrows, indicating a potential long trade.
Conversely, if the majority of the indicators show a bearish trend, the MICS will display red short arrows, indicating a potential short trade.
In addition, the MICS uses a unique price action signal generated solely based on recent price movement, calculated using an algorithm that analyzes the strength of recent price action.
This price action signal is a distinguishing feature of the MICS and complements the signals generated by the pre-existing technical indicators.
What Makes the MICS Original?
What makes the MICS unique is its emphasis on providing a clutter-free charting experience.
By displaying only clear long and short signals directly on the chart based on your own selection in the settings, the MICS eliminates the need to have multiple indicators cluttering the screen, allowing traders to concentrate on making informed decisions, quickly!
This price action signal is a also unique feature that sets the MICS apart from other technical indicators.
TradeChartist Actuator™TradeChartist Actuator is an extremely functional indicator that converts the price action volatility and momentum into a meaningful trading system (based on user defined Standard Deviation Factor), that consists of expanding/contracting Volatility Range Bands, Dynamic Trend Support/Resistance Bands and 2 types of Breakout Signals in a visually stunning design. The script also neatly packs in ZigZag & manual/automatic Fibonacci Retracement tools, option to filter the signals using an external filter and other useful extras like ™TradeChartist Dollar Candles and much more.
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™TradeChartist Actuator User Manual
█ Actuator Range Bands
Actuator Range Bands consists of a Mean line, an Upper Band and a Lower Band which are based on user defined Standard Deviation Factor (Default - 1.618, Min - 0.5, Max - 2). The 1.618 factor works extremely well as the unnecessary volatility data of the bands are eliminated by Actuator's logic. In my personal tests, 1.618 works consistently better than any other value in visually showcasing the true volatility range. By eliminating the unnecessary volatility data from the original non-stabilized bands, Actuator helps detect price momentum by detecting two types of breakouts.
Bands Breakout - Filtered
When the price breaks out of the upper or lower band after a trend, there is a strong possibility of a reversal especially when the volatility expansion/contraction takes place. This is detected using a built in filter with the Filtered Bands Breakout and the user can choose to use the closing price or High/Low price as the trigger for breakouts. This trade setup is very useful especially at zones where the Actuator Range Bands contract or squeeze after an expansion as shown in the OANDA:XAUUSD 1hr chart below.
Also, after a consistent expansion of the bands with price trending in the upper channel or the lower channel, users can spot good profit taking or Short trade opportunities with confirmation of overbought price and if possible a strong bear divergence as show in the BINANCE:LUNAUSDTPERP 1hr chart below.
It can be seen from the chart above that even though Actuator is designed to detect Extreme Bands Breakout using High/Low price, it is done with a little bit of filtering by the script logic and hence didn't generate a Bear signal at the lower band support zone.
Mean Breakout - Filtered
In most Mean Reversion models, mostly oscillators, the mean plays an important role in helping traders predict the price dynamic, but it also presents a challenge whether that mean will act as support or resistance so the trader can take a position that will have a high probability of success. Filtered Mean Breakout helps exactly to identify the price dynamic at the mean zone and helps reduce the dilemma. Actuator uses Volatility Trend and Momentum of the price action at mean to determine Bull/Bear breakouts. Following NASDAQ:AAPL 1hr chart shows an example of 2 instances of Filtered Mean Breakout detection, one bull and one bear and further area where no Breakout was detected in spite of price crossing the mean.
This Breakout type is really helpful in spotting early moves and also reduces the high volatility risk of Extreme Bands Breakout in some cases.
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█ External Filter
Actuator breakout signals can be further filtered using the feature of connecting an external signal as a trade filter.
External filter like RSI , MACD etc. can be used to filter breakouts by connecting to ™TradeChartist Actuator under ╔═══ 𝗣𝗹𝘂𝗴 𝗙𝗶𝗹𝘁𝗲𝗿 𝗵𝗲𝗿𝗲 ═══ 🔌 dropdown by enabling 𝐔𝐬𝐞 𝐄𝐱𝐭𝐞𝐫𝐧𝐚𝐥 𝐅𝐢𝐥𝐭𝐞𝐫.
To get the external filter to work, 𝐒𝐢𝐠𝐧𝐚𝐥 𝐓𝐲𝐩𝐞 must be set right. For plots that are non oscillatory like Moving Averages, Super Trend etc., choose type as Non Oscillatory and for Oscillators like RSI , CCI , MACD etc., choose type as Oscillatory .
For Oscillators, levels must be specified for 𝐎𝐬𝐜𝐢𝐥𝐥𝐚𝐭𝐨𝐫 𝐁𝐮𝐥𝐥 𝐅𝐢𝐥𝐭𝐞𝐫 𝐯𝐚𝐥𝐮𝐞 and 𝐎𝐬𝐜𝐢𝐥𝐥𝐚𝐭𝐨𝐫 𝐁𝐞𝐚𝐫 𝐅𝐢𝐥𝐭𝐞𝐫 𝐯𝐚𝐥𝐮𝐞, especially if the Oscillator doesnt have 0 as midline, like RSI . Even for 0 mid oscillators like CCI , filter levels like 100/-100 work effectively to filter noise.
Use 𝐁𝐮𝐥𝐥/𝐁𝐞𝐚𝐫 𝐁𝐚𝐜𝐤𝐠𝐫𝐨𝐮𝐧𝐝 𝐅𝐢𝐥𝐥 under Actuator Visuals section to paint the trade zones background. It helps visually see the effect of filters on the breakout entries and also the trade performance.
The following chart shows the Filter settings with ™TradeChartist Momentum Drift Oscillator connected to Actuator as Oscillatory signal with filter values 0.
The two example charts of 1hr BINANCE:BTCUSDT below shows the difference in Actuator signals based on Oscillatory signal from ™TradeChartist Momentum Drift Oscillator and the difference can be seen from the highlighted Bull/Bear Background Fill.
Without External Filter
With External Filter
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█ Dynamic Trend Support/Resistance Bands
In addition to Volatility Range Bands, Actuator also plots Dynamic Trend Support and Resistance bands that are more sensitive to price action and helps the user determine growing support/resistance which is indicated by coloured dots. These dots normally appear when the Support or Resistance stays at the same level for a few bars and change between Bull and Bear colours based on how the price interacts with them as shown below.
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█ Useful Trade Tools
™TradeChartist Dollar Candles
Dollar Candles help detect the volatility exhaustion prices and plots $ signs to help the trader take profits or move stop loss levels to secure gains. The $ signs do not appear for every trade zone, but whenever price hits a critical level, it shows up above price bar (for Bull trend) or below price bar (for Bear trend) in real time. Users can also set alerts for Dollar Candles with Once Per Bar setting. The Daily NASDAQ:TSLA chart below shows the Dollar Candles on both Bull and Bear trends.
It is important to note that taking pockets of profits on a leveraged trade position or moving up stop loss to maximize trend gains at $ candles will help increase Average Profitability Per Trade (APPT) .
Bull/Bear Background Fill
Bull/Bear Background Fill paints the trade zones in Bull and Bear colours. This helps visualize the difference in trade zones when testing various settings and also helps analyze past performance of Actuator Signals with or without the use of External Filter.
Entry Stop Loss Reference
Reference zone for stop loss has always been a tricky one for traders. Using a fixed percentage stop at entry may not be best during high volatility moves. Over the extensive period of Actuator testing, a simple solution to this problem was found. The previous trend's Range Bands Mean Line served as a perfect reference point for Entry Stop. Also while analysing this Mean line, it was found to be a perfect horizontal support/resistance line and also helped detect unproductive trades. The example 15m chart of NASDAQ:AMD shows how the Entry Stop Loss Reference performed.
Stop Line Touch Points plot orange touch points on the Stop Line whenever the price hits it during the trade.
Actuator Colour Bars
Actuator Colour Bars paints the Momentum Strength on the price bars. This helps visually see the price bars venturing into the Overbought or the Oversold zones. Also, this feature also helps spot divergences as higher highs or lower lows with less intense Bull/Bear colour than the previous high/low shows diminishing momentum as shown in the 1h chart of OANDA:GBPJPY below.
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█ ZigZag & Fibonacci Toolkit
Actuator plots developing and completed ZigZags based on Bull and Bear trend depending on the Breakout Type and Breakout Price from the settings.
Option to enable or disable 𝐙𝐢𝐠𝐙𝐚𝐠 𝐂𝐨𝐧𝐧𝐞𝐜𝐭𝐨𝐫 which can be helpful for Harmonic traders.
Option to display 𝐙𝐢𝐠𝐙𝐚𝐠 𝐇𝐢𝐠𝐡𝐬/𝐋𝐨𝐰𝐬 and 𝐑𝐒𝐈 𝐚𝐭 𝐇𝐢𝐠𝐡𝐬/𝐋𝐨𝐰𝐬 in one of two styles.
Two types of Fibonacci to choose from - 𝐀𝐮𝐭𝐨-𝐅𝐢𝐛𝐬 and 𝐅𝐢𝐛𝐬 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐋𝐨𝐨𝐤𝐛𝐚𝐜𝐤.
𝐀𝐮𝐭𝐨-𝐅𝐢𝐛𝐬 option plots Auto Fibonacci levels based on Bull/Bear trend depending on user specified Breakout Type and Breakout Price.
𝐅𝐢𝐛𝐬 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐋𝐨𝐨𝐤𝐛𝐚𝐜𝐤 plots Fibonacci levels based on the highest high and lowest low of the lookback period (𝐃𝐚𝐲𝐬 or 𝐂𝐚𝐧𝐝𝐥𝐞𝐬).
Fibonacci levels can be reversed by enabling 𝐑𝐞𝐯𝐞𝐫𝐬𝐞 from settings.
Enabling 𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐏𝐫𝐢𝐜𝐞 𝐅𝐢𝐛 𝐋𝐚𝐛𝐞𝐥 displays the current Fib level of the developing price bar.
Option to customize Fib levels and colours.
4hr chart of BINANCE:BTCUSDT showing Auto Fibonacci levels, Zig-Zag with Trend High/Lows, Zig-Zag connectors with Fib Ratios and RSI at Trend High/Low prices.
Note:
If momentum doesn't slow down, the fibs can extend beyond 1 and may continue way beyond 4.618 fib level. These are quite rare depending on how distant the near high/low is based.
ZigZag and Fibonacci are good reference indicators and should always be used as confirmations rather than standalone indicators.
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█ Actuator Colour Scheme
Actuator employs 3 built in colour schemes namely Chilli , Flame and Sublime Grayscale and a versatile colour scheme Custom which enables the user to customise the colour combinations of the components of the Actuator script.
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█ Alerts
Alerts can be created for the following.
Actuator Bull Breakout Signal - Once Per Bar Close
Actuator Bear Breakout Signal - Once Per Bar Close
Actuator Long Dollar - Take Profit - Once Per Bar
Actuator Short Dollar - Take Profit - Once Per Bar
Actuator Stop Line Hit - Once Per Bar
Note: The script doesn't repaint, so the alerts can be used with confidence. To check this, users can do bar replays to check if the plots and markers stay in the same place.
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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MRM [VK] V4.0 strategyMRM VK strategy
This strategy uses MA, RSI , MACD combined.
MACD and RSI can be used multi time frame to filter trend.
It is a very simple strategy which goes long/short when MACD , RSI and MA Trend Changes in higher Time Frame.
Coinmaster Holding ScriptRECOMMENDATION: I PREFFER USE THIS ON 4H OR 1D TIMEFRAME
In the following article, I have completed the creation of this semi-automatic script dedicated to institutional capital management in the different markets, its development was carried out under operations that exceed a balance greater than 1 million usd, which will allow you to summarize your technical analysis or you can request my support to automate your account after your previous studies.
Alerts have been created that you can program or automate through webhook, under which you can program for advice or consultancy to your account, either to integrate indexed, forex or cryptocurrency trading api keys or to perform leveraged operations either long or short with leverage especially cryptocurrencies, with a focus on BTC / USD, BTC / USDT, ETH / USD, ETH / USDT, LTC / USD, LTC / USDT, TRX / USD, TRX / USDT but adaptable to any asset
where I deliver 6 years of research, training, use, development and implementation of different analysis and trading mechanisms in financial markets.
It allows you to carry out simple technical analysis studies in a calculated way
Using wide and different methods, which are automatically arranged algorithmically, indicating a buy or sell signal based on the "Price Action + Average True Range or Atr", which also takes into consideration the increase or decrease in volume and different combined conditions are used to arrive at a "combined signal" between them:
Macd
- RSI
- ATR "Average True Range
- Retracement and Fibonacci Levels
- Pivot Points
- Sar Parabolic
- Volume
- Crossing Moving Averages
- Price per volume trend indicator (VPT)
- Calculated Analysis of Divergence, Bullish Divergence, Bearish Divergence
- Analysis of Divergence and Fibonacci Crosses
- Combination of Pivot Points and Fibonacci Levels with automatic price adjustment for all time frames
- Automatic support and resistance adjustment
- Automatic adjustment, entry of new levels, eliminate and readjust fibonacci retracement levels and pivot points as the price advances automatically
- Calculation and Analysis and Strategy for Buying and Selling Bollinger Bands
- Automatic Creation, Analysis, Calculation and Adjustment of Trend Lines
- Ichimoku periods
- Automatic Calculation and Analysis of Divergence, Trend, Price and Volume taking into account multiple factors such as: Trend Lines, MACD, Balanced Volume or "OBV", Relative Strength Index "RSI", Commodity Channel Index (CCI )
You could use my indicator to either:
1. Create summary Buy and Sell Alerts
2. Create Alerts with Customizable Conditions
3. Create Alerts and Automate these by means of webhook shipments
4. Open and Close Positions automatically through Alerts sent through webhook and conditioned on your platform by custom% profit, either take profit or stop loss
You can configure the following alerts in an unlimited way:
-Buy Signal Indicated by Atr
-Sale Signal Indicated by Atr
-Buy signal by volume price trend indicator (VPT)
-Sale signal by volume price trend indicator (VPT)
-Sar Parabolic -High
-Sar Parabolic - Baja
- Bullish divergence
-Bearly divergence
-Crossing moving averages
-Cross above the Downtrend of the Fibonacci Level 0.382
-Cross above the Bearish Trend of the Fibonacci Level 0.5
-Cross above the Bearish Trend of the Fibonacci Level 0.618
-Crossover above the Bullish Trend of the Fibonacci Level 0.382
-Crosses above the Bullish Trend of the Fibonacc Level 0.5
-Cross above the Bullish Trend of the Fibonacci Level 0.618
-Cross below the downtrend of the Fibonacci Level 0.382
- "Crossover below the downward trend of the Fibonacci Level 0.5
-Cross below the downtrend of the Fibonacci Level 0.618
-Cross below the uptrend of the Fibonacci Level 0.382
-Cross below the uptrend of the Fibonacci Level 0.5
- Cross below the uptrend of the Fibonacci Level 0.618
1. If you don't want to rely on a single truth from my indicator, combine this with either RSI, MACD, or ADX levels.
2. If you are going to use it for a leveraged trade, A) My indicator does not have the absolute truth, B) Try to assign a% of take profit or stop loss range to allow the price to move without closing your recommended trade in loss. 3 to 4% or greater than 1%
Postscript: Use it at your own risk, I have made this script based on my personal opinion and experience, which is not considered at any time a financial or investment advice or of any kind, which after reading this I free myself from Any financial responsibility for your personal decisions, what you read in any market or legal action will only be considered before any court, person, page, agency, broker, trader, tools, investors, developers or people of any field and of any situation such as If fidubit has given computer advice for educational purposes on the use of pine script, all investment in any type of economy, asset or financial markets is at risk of ups and downs, therefore you are fully responsible for your investment, administration, decision, analysis and use and you should use only your risk capital in the broker you choose
Z+ Trend Finder & Breakout 3in1 for Crypto Stock & Forex TradingDear all,
If you like this indicator please hit the like button and do follow me. It takes lot of effort & calculations to bring some good strategy on charts. Keep Supporting & will update this indicator regularly.
Z+ Trend Finder Pro🚀 by Zia 💎 a combination of RSI+MACD+SMA
Z+ Trend Finder Pro is a 3in1 Indicator for Crypto, Stock Market & Forex Trading. This indicator is a combination of RSI , MACD , SMA & few other important settings with unique strategy keeping scalping & intraday trading in mind. Please read all points below for better understanding of how this indicator works. I'll make it very simple and easy to understand.
When you load the indicator on chart, you will see candles in 2 colors blue & dark brown (You can change color from settings if you want).
Blue means price is going up
Brown means price is going down
On Top you will see thick Red line - Overbought , means if price is above this line ( RSI above 80) - market is overbought and RSI is too high and chances market will reverse.
Bottom you will see thick Green line - Oversold , means if price is below this line - market is oversold & RSI very low around 20 & chances market will reverse.
In-between you will thick Green/Red line called breakout line . If price is below this line, color will red means market is in downtrend and will further go down.
If price is above this line, its color will be green & means market is in up trend and will go further up.
Breakout Line -
Whenever price break the Breakout line upside, up breakout will come means open long position, if downside, down breakout will come means open short.
Rest things are self explanatory.
Apart from this, you will see green and red bands. The wider the band indicates trend is strong, & if bands width is getting narrow means trend is fading - Get out of trade at that time.
Market overview Display Box
On the right side, you will see yellow box with particular coin details along with other market top performing coins in terms of MarketCap. From settings you will change it to either Crypto, Stock or Forex. You can control the display of this box from script setting.
Which is the best timeframe to use with this indicator?
I personally check things first at 1hr chart, to know how market is performing in broad time frame.
Next if you see more volatility in market, you can use 15min time frame too.
Also it depends from coin 2 coin and market conditions too. Sometimes you will find things are pretty good with 5 min and sometimes 15min, and sometimes you might stick with 1hr.
EURUSD Example
NIFTY Example
What is the accuracy?
Personally when i use it with 1hr TF for intraday swing calls, i see pretty good result & accuracy almost above 90%.
But do keep in mind, its not a magical stick - always DYOR fully after seeing any type of recommendation from this indicator either on buy/long or sell/short side.
Disclaimer:- This indicator is just for educational purpose and does not guarantee to make you rich overnight. It only helps you to understand market trend, so you take prefect entry. Anyone who guarantees you will make money, is pretty much guaranteeing that you will lose money. Trading and technical analysis is extremely difficult, it takes patience, discipline and most people do not make it. Applying these tools and investing in your trading education can help put the odds in your favor but will only assist the individual in their execution, decision making, thought process and executing their own individual trades, NOT make them for you.
You're always welcome to share any type of suggestion & feedback.
To access this indicator, Interested traders can pm me our use below links.
Bull Club BiasThe script intends to eliminate noise from the chart. It uses a combination of multiple indicators into 1.
For long bias:
Close is greater than the ADX
15 Period EMA on close is greater than SMA on high
13 period RSI is greater than 25 periods RSI
MACD is greater than 0
For short bias:
Close is lower than the ADX
15 Period EMA on close is lower than SMA on high
13 period RSI is lower than 25 periods RSI
MACD is lower than 0
For every other combination, it is a range-bound bias. NSE:BANKNIFTY
A green background indicates long bias
A Red background indicates short bias
An Orange background indicates range-bound bias
Compare (RSI) Ticker 3x by fikiraHi!
Here I've created an indicator which compares 1 Ticker with 1 or 2 other Tickers.
The basis is RSI (Source & Length is adjustable), but the main objective is NOT to concentrate on the RSI, but on the comparison between the 2 or 3 Tickers.
I've used RSI because in this way high priced Tickers (for example BTC, now $8500) can easily be compared with low priced Tickers (for example BTT, now $0,00042)
In this example I have NEO/USDT (Binance) as my initial Ticker, you can see the candlesticks of NEO/USDT.
In the "Compare" indicator, the 'close' of NEO appears as a white line.
The second line (blue) is a chosen second Ticker, in this case BTC/USDT (Binance)
In "Settings" > "Inputs" you can enable/disable the second or third Ticker
- The second Ticker has multiple choices
- The third you can type any Ticker you want, for example CRYPTOCAP:BNB, BINANCE:ETHUSDT, NASDAQ_DLY:NDX or whatever,
just start typing and you'll see the possibilities (You also can choose between "Cryptocurrencies", "Index", "Forex", ...)
You can also plot 2 EMA's, a Short and a Long period (Length is adjustable).
The EMA's have the same colour as the Tickers (Ticker 1 = white, 2 = blue, 3 = red, of course all adjustable)
- EMA Ticker 1 crossover Ticker 2/3 > Green cloud
- EMA Ticker 1 crossunder Ticker 2/3 > Red cloud
For example:
NEO/USDT (1, white) & BTC/USDT (2, blue) with Long Period EMA
NEO/USDT (1, white) & BNB/USDT (3, red) with Long Period EMA
NEO/USDT (1, white) & BNB/USDT (3, red) with Short Period EMA
When the second chosen Ticker is the same as the first Ticker, of course you will be seeing lines
(because there is no difference between the 2 Tickers, the EMA is visible though)
Example :
Both BTC/USDT
(The second indicator is my "Compare (RSI) MACD", a MACD of this indicator, which in this case is obviously flat)
[SignalFI] ShotGunFI V1Welcome to ShotGunFI
In order to help give our members awareness of how major indicators move market price action, we created ShotGunFI. This script provides signals for the following indicators and gives a customizable framework for the user to track how certain indicators impact price and further how those impacts could relate to their overall strategy. We took the major indicators that are used in the market and smashed them into one chart with one indicator so that you can visualize a broad spectrum of strategies that are already driving price action.
This script is enabled with Data Leak and Repaint protection by default. Ensuring that signals are true.
The following indicators are included:
//+RSI Ob/Os Crossover Signals
- Candles are colored Orange and Aqua when RSI is overbought or oversold.
- Arrows and Alerts for crossover 30 and crossunder 70 RSI .
//+Slow Stochastic Signals
- Arrows and Alerts for crossover 20 and crossunder 80 Stoch RSI
//+MACD Bull/Bear Signals
- Arrows and Alerts for MACD Bull and Bear Signal line crossovers
//+MA Cross Bull/Bear Signals
- Arrows and Alerts for MA 1 Cross of MA 1 and MA 1 Cross of MA 4.
By default EMA is enabled, however, we included several other MA types to enhance and expand on this concept.
Included are the following MA types:
Kaufman Adaptive Moving Average ( KAMA )
Hull Moving Average
Smoothed Moving Average
Variable Index Dynamic Average
Fractal Adaptive Moving Average
Fractal Dimension Adaptive Moving Average
Double Exponential Moving Average
Least Squares Moving Average
Coefficient of Variation Weighted Moving Average
Simple Weighted Moving Average
Exponential Moving Average
Weighted Moving Average
Arnaud Legoux Moving Average
Option Types Labels:
"SWMA", "EMA", "WMA", "SMA", "HMA", "KAMA", "SMMA", "VIDYA", "VWMA", "ALMA", "FRAMA", "DEMA", "FDAMA", "LSMA", "COVWMA"
//+BollingBand Bull/Bear Signals
- Arrows and Alerts for lower BB crossover and higher BB crossover
//+Bollinger Band + RSI (BBRSI) Bull/Bear Signals
- Arrows and Alerts for custom higher timeframe Bollinger Band that integrates RSI . 4 Signals total.
//+InsideBar Bull/Bear Signals
- Arrows and Alerts for InsideBar bull/bear break combinations.
ALERTS DISABLED VERSION. Padaone Members Only.
SignalFI was created to help traders and investors to effectively analyze the market based on the Golden Mean Ratio (Fibonacci numbers), plan a trade and ultimately execute it. To help inform and educate market decisions we developed a set of Trading Indicators which are available on TradingView , the most advanced and yet easy to use charting platform available on the web.
SignalFI indicators are just that, indicators. Our indicators are generally configured to use completely historical data (negating repaint), and we advise all alerts created with SignalFI indicators to be fired upon "close" of the current candle. Our indicators can provide valuable context and visualization support when performing market analysis and executing buy and sell decisions. However. we are not financial experts, and all information presented on this site or our other media outlets are for educational purposes only.
For subscription information, visit www.signalfi.net and follow us on twitter.
On Balance Volume +This is the standard On Balance Volume indicator, with the addition of four things:
10-SMA
20-SMA
100-SMA
Bollinger Bands
I have found intriguing and surprising results with this indicator.
I often see OBV bouncing off of the Moving Average lines, much like support and resistance points.
More interesting is the fact that it "obeys" the bollinger bands. Often times, if OBV sneaks outside of the Bollinger Band, it will almost always correct and get back in the next day.
I would recommend that you find your own method, and PLEASE post in the comments as to how you use this, but I'll tell you
How I use this indicator:
I usually use this on the daily view. I tend to wait until OBV has moved above the red 20-Day SMA before considering an entry. Below that doesn't show enough positive volume for me to identify enough interest in the security. Once it breaks the red SMA, I'll look at other indicators for confirmation. If price is above the Bollinger Band up above, and my OBV is above Bollinger Band, I will not buy. Also, if MACD is dropping, or if the Stochastic RSI is pegged out in overbought land, I won't buy that either.
If, however, I'm seeing good stuff from Stochastic RSI, RSI, MACD, and price BB, then I'll take a long entry at that OBV + 20SMA crossover.
If I'm in a long position and I see a few signals like the OBV is above the BB, and price is above BB, and StochRSI or RSI are in/near overbought land, I'll often sell that day, expecting a pullback on price.
I really like this one, it's been quite helpful in my trading. This is my first venture into using Volume for trading, and it's been good so far.
Leave me a note in the comments to tell me how it goes and how you use this thing!
ProfitTrailer v2 LOWBB & RSI Buy SignalsThis script will display buy signals when configured LOWBB & RSI Conditions are met. I've created this script to help ProfitTrailer 2.0 subscribers understand when the bot will buy based on their selected RSI & BB values.
I will create more of these scripts so let me know in the comments if you would like to see some of the other strategies for example EMAGAIN + RSI + MACD or LOWBB + MACD etc. I will add the sell signals shortly.
KML ALGO V6 – Elite Trading Bot🚀 KML ALGO - Professional Trading Bot by Ahmad Shoaib Kamal
💎 PREMIUM FEATURES:
• Advanced ATR Trailing Stop Algorithm
• Multi-Filter Smart System (RSI, MACD, Stochastic, Volume, Trend)
• Intelligent Scoring System for High-Quality Signals
• Universal: Works on ALL Markets & Timeframes
• Live Information Dashboard
• Professional Alert System
⚡️ WHAT MAKES IT SPECIAL:
✅ Eliminates False Signals with 5-Filter Validation
✅ Adaptive to Market Conditions
✅ Clean Visual Interface with Color-Coded Signals
✅ Real-time Performance Metrics
✅ Fully Customizable Parameters
✅ Works on Crypto, Forex, Stocks, Indices...
🎯 PERFECT FOR:
• Day Traders seeking precise entries/exits
• Swing Traders looking for trend confirmation
• Automated Trading Systems
• Professional Portfolio Management
⚙️ CUSTOMIZABLE SETTINGS:
• Key Value (Signal Sensitivity)
• ATR Period Configuration
• Enable/Disable Any Filter
• Fine-tune All Parameters
• Heikin Ashi Support
🎨 PROFESSIONAL DISPLAY:
• Dynamic Trailing Stop Line
• Clear BUY/SELL Labels
• Weak Signal Indicators
• Live Stats Table
• Smart Alerts
⭐️ DEVELOPED BY: Ahmad Shoaib Kamal
🔥 BATTLE-TESTED ALGORITHM
💰 INVITE-ONLY ACCESS
👉 “Exclusive Access – Apply Now to Unlock Premium Features”
Perfect for Crypto, Forex, Stocks & Indices traders seeking high-accuracy signals with ATR, RSI, MACD, Stochastic, Volume & Trend analysis.
