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ADX Full [Titans_Invest]ADX Full This is, without a doubt, the most complete ADX indicator available on TradingView — and quite possibly the most advanced in the world. We took the classic ADX structure and fully optimized it, preserving its essence while elevating its functionality to a whole new level. Every aspect has been enhanced — from internal logic to full visual customization. Now you can see exactly what’s happening inside the indicator in real time, with tags, flags, and informative levels. This indicator includes over 22 long entry conditions and 22 short entry conditions , covering absolutely every possibility the ADX can offer. Everything is transparent, adjustable, and ready to fit seamlessly into any professional trading strategy. This isn’t just another ADX — it’s the definitive ADX, built for traders who take the market seriously. ⯁ WHAT IS THE ADX❓ The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down. The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength. ⯁ HOW TO USE THE ADX❓ The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones: Strong Trend: When the ADX is above 25, indicating a strong trend. Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend. Neutral Zone: Between 20 and 25, where the trend strength is unclear. ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔹 +DI > -DI 🔹 +DI < -DI 🔹 +DI > ADX 🔹 +DI < ADX 🔹 -DI > ADX 🔹 -DI < ADX 🔹 ADX > Threshold 🔹 ADX < Threshold 🔹 +DI > Threshold 🔹 +DI < Threshold 🔹 -DI > Threshold 🔹 -DI < Threshold 🔹 +DI (Crossover) -DI 🔹 +DI (Crossunder) -DI 🔹 +DI (Crossover) ADX 🔹 +DI (Crossunder) ADX 🔹 +DI (Crossover) Threshold 🔹 +DI (Crossunder) Threshold 🔹 -DI (Crossover) ADX 🔹 -DI (Crossunder) ADX 🔹 -DI (Crossover) Threshold 🔹 -DI (Crossunder) Threshold ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔸 +DI > -DI 🔸 +DI < -DI 🔸 +DI > ADX 🔸 +DI < ADX 🔸 -DI > ADX 🔸 -DI < ADX 🔸 ADX > Threshold 🔸 ADX < Threshold 🔸 +DI > Threshold 🔸 +DI < Threshold 🔸 -DI > Threshold 🔸 -DI < Threshold 🔸 +DI (Crossover) -DI 🔸 +DI (Crossunder) -DI 🔸 +DI (Crossover) ADX 🔸 +DI (Crossunder) ADX 🔸 +DI (Crossover) Threshold 🔸 +DI (Crossunder) Threshold 🔸 -DI (Crossover) ADX 🔸 -DI (Crossunder) ADX 🔸 -DI (Crossover) Threshold 🔸 -DI (Crossunder) Threshold ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : ADX Full 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® indicator
by Titans_Invest
Fibonacci - RSI OscillatorIndicator Overview The Fibonacci RSI Oscillator calculates the Relative Strength Index (RSI) based on a dynamically adjusting level derived from recent price action and a fixed Fibonacci ratio (0.236). This differs from standard RSI, which is calculated directly on the closing price. The objective is to measure momentum relative to a level that adapts to recent peaks and valleys. Core Calculation Mechanism Peak/Valley Tracking: The script identifies the highest high (state_peak) and lowest low (state_valley) since the last detected change in short-term directional bias (state_dir). Dynamic Level Calculation: A level (state_dyn_level) is calculated using a fixed 0.236 Fibonacci ratio relative to the tracked peak and valley: If bias is up: state_dyn_level = state_peak - (state_peak - state_valley) * 0.236 If bias is down: state_dyn_level = state_valley + (state_peak - state_valley) * 0.236 This level adjusts automatically when a new peak or valley is established in the current directional bias. If price crosses the dynamic level against the current bias, the bias flips, and the level recalculates. Optional Source Smoothing: The calculated state_dyn_level can optionally be smoothed using a user-selected moving average (SMA, EMA, WMA, HMA, RMA) before the RSI calculation. RSI Calculation: The standard RSI formula is applied to the (optionally smoothed) state_dyn_level series to produce the primary oscillator value (val_primary_osc). Signal Line: A moving average (type and length configurable) is calculated on the val_primary_osc to generate the val_sig_line. Key Features & Components Dynamic Fibonacci Level: The core input for the RSI calculation, based on recent peaks/valleys and the 0.236 ratio. Fibonacci Level RSI: The primary oscillator line representing the RSI of the dynamic level. Signal Line: A moving average of the primary RSI line. Overbought/Oversold Levels: User-defined threshold lines. Optional Source Smoothing: Configurable MA smoothing applied to the dynamic level before RSI calculation. Gradient RSI Color : Option to color the primary RSI line based on its value relative to OB/Mid/OS levels. Zone & OB/OS Fills: Visual fills for the 0-50 / 50-100 zones and specific fills when the RSI enters OB/OS territory. Background Gradient: Optional vertical background color gradient based on the RSI's position between 0 and 100. Configurable Parameters: Inputs for lengths, MA types, OB/OS levels, colors, line widths, and feature toggles. Visual Elements Explained Fibonacci Level RSI Line: The main plotted oscillator (color/gradient/width configurable). Signal Line: The moving average of the RSI line (color/width/MA type configurable). OB/OS Lines: Horizontal lines plotted at the set OB/OS levels (color/width configurable). Mid-Line (50): Horizontal line plotted at 50 (color/width configurable). Zone Fills: Background fill between 0-50 and 50-100 (colors configurable). Conditional fill between the RSI line and the 50 line when RSI > OB level or RSI < OS level (colors configurable). Background Gradient: Optional background coloring where transparency varies vertically with the RSI level (base colors and transparency range configurable). Configuration Options Users can adjust the following parameters in the indicator settings: Smoothing: Enable/disable dynamic level smoothing; set length and MA type. RSI: Set the RSI calculation length. Signal Line: Set the signal line smoothing length and MA type. Levels: Define Overbought and Oversold numeric thresholds. Visuals: Configure colors and widths for the RSI line, signal line, OB/OS lines, mid-line, zone fills, and OB/OS fills. Gradients: Enable/disable and configure colors for the RSI line gradient; enable/disable and configure colors/transparency for the background gradient. Interpretation Notes The oscillator reflects the momentum of the dynamic Fibonacci level, not directly the price. Divergences, OB/OS readings, and signal line crossovers should be interpreted in this context. The behavior may differ from standard RSI, potentially offering a smoother output or highlighting different momentum patterns depending on market structure and volatility. As with any indicator, signals should be used in conjunction with other analysis methods and risk management practices. It is not designed as a standalone trading system. Risk Disclaimer: Trading involves significant risk. This indicator is provided for analytical purposes only and does not constitute financial advice. Past performance is not indicative of future results. Use sound risk management practices and never trade with capital you cannot afford to lose.
Pine Script® indicator
by sizzlinsoft
2
Price OI Division Price OI Division Indicator Overview The Price OI Division indicator (`P_OI_D`) is a custom TradingView script designed to analyze the relationship between price momentum and open interest (OI) momentum. It visualizes the divergence between these two metrics using a modified MACD (Moving Average Convergence Divergence) approach, normalized to percentage values. The indicator is plotted as a histogram and two lines (MACD and Signal), with color-coded signals for easier interpretation. Key Features - Normalized Price MACD : Compares short-term and long-term price momentum. - OI-Adjusted MACD : Incorporates open interest data to reflect market positioning. - Divergence Histogram : Highlights the difference between price and OI momentum. - Signal Line : Smoothed EMA of the divergence for trend confirmation. - Threshold Lines : Horizontal reference lines at ±10% and 0 for quick visual analysis. Interpretation Guide - Bullish Signal : Histogram turns red (positive & increasing). MACD (red line) crosses above Signal (blue line). Divergence above +10% indicates extreme bullish conditions. - Bearish Signal : Histogram turns green (negative & increasing). MACD (lime line) crosses below Signal (maroon line). Divergence below -10% indicates extreme bearish conditions. - Neutral/Reversal : Histogram fading (teal/pink) suggests weakening momentum. Crossings near the Zero Line may signal trend shifts. Usage Notes Asset Compatibility : Works best with futures/perpetual contracts where OI data is available. Timeframe : Suitable for all timeframes, but align `fastLength`/`slowLength` with your strategy. Data Limitations : Relies on exchange-specific OI symbols (e.g., `BTC:USDT.P_OI`). Verify data availability for your asset. Confirmation : Pair with volume analysis or support/resistance levels for higher accuracy. Disclaimer This indicator is for educational purposes only. Trading decisions should not be based solely on this tool. Always validate signals with additional analysis and risk management.
Pine Script® indicator
by discountry
MTF Stochastic RSIOverview: MTF Stochastic RSI is a momentum-tracking tool that plots the Stochastic RSI oscillator for up to four user- defined timeframes on a single panel. It provides a compact yet powerful view of how momentum is aligning or diverging across different timeframes, making it suitable for both scalpers and swing traders looking for multi-timeframe confirmation. What it does: Calculates Stochastic RSI values using the RSI of price as the base input and applies smoothing for stability. Aggregates and displays the values for four customizable TF (e.g., 5min, 15min, 1h, 4h). Highlights potential support and resistance zones in the oscillator space using adaptive zone logic. Optionally draws dynamic support/resistance zone lines in the oscillator space based on historical turning points. How it works: Each timeframe uses the same RSI and Stoch calculation settings but runs independently via the request.security() function. Stochastic RSI is calculated by first applying the RSI to price, then applying a stochastic formula on the RSI values, and finally smoothing the %K output. Adaptive overbought and oversold thresholds adjust based on ATR-based volatility and simple trend filtering (e.g., price vs EMA). When a crossover above the oversold zone or a crossunder below the overbought zone occurs, the script checks for proximity to previously stored zones and either adjusts or records a new one. These zones are stored and re-plotted as dotted support/resistance levels within the oscillator space. What it’s based on: The indicator builds upon traditional Stochastic RSI by applying it to multiple timeframes in parallel. Zone detection logic is inspired by the idea of oscillator-based support/resistance levels. Volatility-adjusted thresholds are based on ATR (Average True Range) to make the overbought/oversold zones responsive to market conditions. How to use it: Look for alignment across timeframes (e.g., all four curves pushing into the overbought region suggests strong trend continuation). Reversal risk increases when one or more higher timeframes are diverging or showing signs of cooling while lower timeframes are still extended. Use the zone lines as soft support/resistance references within the oscillator—retests of these zones can indicate strong reversal opportunities or continuation confirmation. This script is provided for educational and informational purposes only. It does not constitute financial advice, trading recommendations, or an offer to buy or sell any financial instrument. Always perform your own due diligence, use proper risk management, and consult a qualified financial professional before making any trading decisions. Past performance does not guarantee future results. Use this tool at your own discretion and risk.
Pine Script® indicator
by AresIQ
Dual-Phase Trend Regime Oscillator (Zeiierman)█ Overview Trend Regime: Dual-Phase Oscillator (Zeiierman) is a volatility-sensitive trend classification tool that dynamically switches between two oscillators, one optimized for low volatility, the other for high volatility. By analyzing standard deviation-based volatility states and applying correlation-derived oscillators, this indicator reveals not only whether the market is trending but also what kind of trend regime it is in —Bullish or Bearish —and how that regime reacts to market volatility. █ Its Uniqueness Most trend indicators assume a static market environment; they don't adjust their logic when the underlying volatility shifts. That often leads to false signals in choppy conditions or late entries in trending phases. Trend Regime: Dual-Phase Oscillator solves this by introducing volatility-aware adaptability. It switches between a slow, stable oscillator in calm markets and a fast, reactive oscillator in volatile ones, ensuring the right sensitivity at the right time. █ How It Works ⚪ Volatility State Engine Calculates returns-based volatility using standard deviation of price change Smooths the current volatility with a moving average Builds a volatility history window and performs median clustering to determine typical "Low" and "High" volatility zones Dynamically assigns the chart to one of two internal volatility regimes: Low or High ⚪ Dual Oscillators In Low Volatility, it uses a Slow Trend Oscillator (longer lookback, smoother) In High Volatility, it switches to a Fast Trend Oscillator (shorter lookback, responsive) Both oscillators use price-time correlation as a measure of directional strength The output is normalized between 0 and 1, allowing for consistent interpretation ⚪ Trend Regime Classification The active oscillator is compared to a neutral threshold (0.5) If above: Bullish Regime, if below: Bearish Regime, else: Neutral The background and markers update to reflect regime changes visually Triangle markers highlight bullish/bearish regime shifts █ How to Use ⚪ Identify Current Trend Regime Use the background color and chart table to immediately recognize whether the market is trending up or down. ⚪ Trade Regime Shifts Use triangle markers (▲ / ▼) to spot fresh regime entries, which are ideal for confirming breakouts within trends. ⚪ Pullback Trading Look for pullbacks when the trend is in a stable condition and the slow oscillator remains consistently near the upper or lower threshold. Watch for moments when the fast oscillator retraces back toward the midline, or slightly above/below it — this often signals a potential pullback entry in the direction of the prevailing trend. █ Settings Explained Length (Slow Trend Oscillator) – Used in calm conditions. Longer = smoother signals Length (Fast Trend Oscillator) – Used in volatile conditions. Shorter = more responsive Volatility Refit Interval – Controls how often the system recalculates Low/High volatility levels Current Volatility Period – Lookback used for immediate volatility measurement Volatility Smoothing Length – Applies an SMA to the raw volatility to reduce noise ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
6
RTB - Momentum Breakout Strategy V3 📈 RTB - Momentum Breakout Strategy V3 is a directional breakout strategy based on momentum. It combines exponential moving averages (EMAs), RSI, and recent support/resistance levels to detect breakout entries with trend confirmation. The system includes dynamic risk management using ATR-based stop-loss and trailing stop levels. Webhook alerts are supported for external automated trading integrations. 🔎 The strategy was backtested using default parameters on BTCUSDT Futures (Bybit) with 4-hour timeframe and a 0.05% commission per trade. ⚠️ This script is for educational purposes only and does not constitute financial advice. Always do your own research before trading.
Pine Script® strategy
by Ramtraderbook
3
COT3 - Flip Strength Index - Invincible3This indicator uses the TradingView COT library to visualize institutional positioning and potential sentiment or trend shifts. It compares the long% vs short% of commercial and non-commercial traders for both Pair A and Pair B, helping traders identify trend strength, market overextension, and early reversal signals. 🔷 COT RSI The COT RSI normalizes the net positioning difference between non-commercial and commercial traders over (N=13, 26, and 52)-week periods. It ranges from 0 to 100, highlighting when sentiment is at bullish or bearish extremes. COT RSI (N)= ((NC - C)−min)/(max-min) x100 🟡 COT Index The COT Index tracks where the current non-commercial net position lies within its 1-year and 3-year historical range. It reflects institutional accumulation or distribution phases. Strength represents the magnitude of that positioning bias, visualized through normalized RSI-style metrics. COT Index (N)= (NC net)/(max-min) x100 🔁 Flip Detection Flip refers to the crossovers between long% and short%, indicating a change in directional bias among trader groups. When long positions exceed shorts (or vice versa), it signals a possible market flip in sentiment or trend. For example, Pair B commercial flip is calculated as: Long% = (Long/Open Interest)×100 Short% = (Short/Open Interest)×100 Flip = Long%−Short% A bullish flip occurs when long% overtakes short%, and vice versa for a bearish flip. These flips often precede price trend changes or confirm sentiment breakouts. Flip captures how far current positioning deviates from historical norms — highlighting periods of institutional overconfidence or exhaustion, often leading to significant market turns. This combination offers a multi-layered edge for identifying when smart money is flipping direction, and whether that flip has strong conviction or is likely to fade. ..........................................................................................................................................................
Pine Script® indicator
by invincible3
2
Schaff Trend Cycle (STC) - t0rdn3Schaff Trend Cycle (STC) By t0rdn3 (original STC by , now with more descriptive naming) Description The Schaff Trend Cycle (STC) is a momentum-based oscillator that combines the speed of a fast EMA crossover with cyclical normalization. Developed by Doug Schaff, it identifies market turning points more responsively than MACD or RSI. How It Works 1. EMA Difference : Calculates the difference between two EMAs of the source series (default: close). 2. Cycle Percentage : Normalizes that difference to a 0–100 range over the cycle period. 3. Smoothing : Applies exponential smoothing twice—first to the cycle percentage, then to its normalized cycles—to reduce noise. 4. Final STC Line : Produces a smoothed oscillator oscillating between 0 and 100. Alerts - "STC turned down above 75" : Fires once when STC makes a local peak above the upper threshold ( 75 ). - "STC turned up below 25" : Fires once when STC makes a local trough below the lower threshold ( 25 ). Inputs Cycle Period : 12 — Lookback in bars for normalization Fast EMA Length : 26 — Period of the fast EMA Slow EMA Length : 50 — Period of the slow EMA Smoothing Factor : 0.5 — Exponential smoothing coefficient (0–1) Usage Readings above 75 indicate an overbought cycle; readings below 25 indicate an oversold cycle. Crossings of the 50 midline can confirm trend direction: - STC rising through 50 → bullish shift - STC falling through 50 → bearish shift Combine STC with price action or other trend filters to improve signal quality. You can adjust the cycle period and EMA lengths to match different timeframes or instruments.
Pine Script® indicator
by t0rdn3
Hippo Battlefield - Bulls VS Bears 20 bars## Hippo Battlefield – Bulls VS Bears (20 Bars) **What it is** A multi-dimensional momentum-and-sentiment oscillator that combines classic Bull/Bear Power with ATR- or peak-normalization, then layers on RSI and MACD-derived metrics into: 1. **A colored bar series** showing net Bull+Bear Power strength over the last 20 bars, 2. **A dynamic table** of each of those 20 BBP values (grouped into four 5-bar “quartals”), with symbols, per-bar change, and rolling averages, and 3. **A composite “Weighted BBP” histogram** blending normalized RSI, MACD, and BBP into a single view. --- ### Key Inputs - **Length (EMA)** – look-back for the underlying EMA (default 60) - **Normalization Length** – look-back window for peak-normalization (default 60) - **Use ATR for Norm.** – toggle ATR-based normalization vs. highest-abs(BBP) - **Show Tables** – toggle the bottom-right 21×11 grid of raw and average BBP values --- ### What You See #### 1. Colored Bars (Overlay = false) - Bars are colored by normalized BBP intensity: - Extreme Bull (≥+10): deep blue - Strong Bull (+5 to +10): green/yellow - Weak Bull (+0 to +5): dark green - Weak Bear (–0 to –5): dark red - Strong Bear (–5 to –10): pink/red - Extreme Bear (<–10): magenta #### 2. Bottom-Right Table (20 Bars of Data) - Divided into four columns (0–4, 5–9, 10–14, 15–19 bars ago) and one “average” row. - Each cell shows: 1. Bar index (1–20), 2. Normalized BBP value (to four decimals), 3. Direction symbol (↑/↓/=), 4. Bar-to-bar change (± value), 5. A separator “|”. - At the very bottom, each column’s 5-bar average is displayed as “Avg: X.XXXX” with a dot marker. #### 3. Top-Center Mini-Table - When ≥20 bars have elapsed, shows the date at 20 bars ago and the average BBP across the full 20-bar window. #### 4. Normalized RSI Line - Rescales the classic 14-period RSI into a –20…+20 band to align with BBP. #### 5. MACD Lines (Hidden) & Composite Histogram - MACD and signal lines are calculated but not plotted by default. - A “Weighted BBP” histogram combines: - 20% normalized RSI, - 20% average of (MACD + signal + normalized BBP), - 60% normalized BBP - Plotted as columns, color-coded by strength using the same palette as the main bars. #### 6. Middle Reference Line - A horizontal zero line to anchor over/under-zero readings. --- ### How to Use It - **Trend confirmation**: Strong blue/green bars alongside a rising histogram suggest bull conviction; strong reds/magentas signal bear dominance. - **Divergence spotting**: Watch for price making new highs/lows while BBP or the histogram fails to follow. - **Quartal analysis**: The 5-bar group averages can reveal whether recent momentum is accelerating or waning. - **Cross-indicator weighting**: Because RSI, MACD, and raw BBP all feed into the final histogram, you get a smoothed, blended view of momentum shifts. --- **Tip:** Tweak the EMA and normalization length to suit your preferred timeframe (e.g. shorter for intraday scalps, longer for swing trades). Enable/disable the table if you prefer a cleaner pane.
Pine Script® indicator
by The_Real_Hippopotamus
Rate of Change HistogramExplanation of Modifications Converting ROC to Histogram: Original ROC: The ROC is calculated as roc = 100 * (source - source ) / source , plotted as a line oscillating around zero. Modification: Instead of plotting roc as a line, it’s now plotted as a histogram using style=plot.style_columns. This makes the ROC values visually resemble the MACD histogram, with bars extending above or below the zero line based on momentum. Applying MACD’s Four-Color Scheme: Logic: The histogram’s color is determined by: Above Zero (roc >= 0): Bright green (#26A69A) if ROC is rising (roc > roc ), light green (#B2DFDB) if falling (roc < roc ). Below Zero (roc < 0): Bright red (#FF5252) if ROC is falling (roc < roc ), light red (#FFCDD2) if rising (roc > roc ). Implementation: Used the exact color logic and hex codes from the MACD code, applied to the ROC histogram. This highlights momentum ebbs (falling ROC, fading waves) and flows (rising ROC, strengthening waves). Removing Signal Line: Unlike the previous attempt, no signal line is added. The histogram is purely the ROC value, ensuring it directly reflects price change momentum without additional smoothing, making it faster and more responsive to pulse waves, as you indicated ROC performs better than other oscillators. Alert Conditions: Added alerts to match the MACD’s logic, triggering when the ROC histogram crosses the zero line: Rising to Falling: When roc >= 0 and roc < 0, signaling a potential wave peak (e.g., end of Wave 3 or C). Falling to Rising: When roc <= 0 and roc > 0, indicating a potential wave bottom (e.g., start of Wave 1 or rebound). These alerts help identify transitions in 3-4 wave pulse patterns. Plotting: Histogram: Plotted as columns (plot.style_columns) with the four-color scheme, directly representing ROC momentum. Zero Line: Kept the gray zero line (#787B86) for reference, consistent with the MACD. Removed ROC Line/Signal Line: Since you want the ROC to act as the histogram itself, no additional lines are plotted. Inputs: Retained the original length (default 9) and source (default close) inputs for consistency. Removed signal-related inputs (e.g., signal_length, sma_signal) as they’re not needed for a pure ROC histogram. How This ROC Histogram Works for Wave Pulses Wave Alignment: Above Zero (Bullish Momentum): Positive ROC bars indicate flows (e.g., impulse Waves 1, 3, or rebounds in Wave B/C). Bright green bars show accelerating momentum (strong pulses), while light green bars suggest fading momentum (potential wave tops). Below Zero (Bearish Momentum): Negative ROC bars indicate ebbs (e.g., corrective Waves 2, 4, A, or C). Bright red bars show increasing bearish momentum (strong pullbacks), while light red bars suggest slowing declines (potential wave bottoms). 3-4 Wave Pulses: In a 3-wave A-B-C correction: Wave A (down) shows bright red bars (falling ROC), Wave B (up) shows bright/light green bars (rising ROC), and Wave C (down) shifts back to red bars. In a 4-wave consolidation: Alternating green/red bars highlight the rhythmic ebbs and flows as momentum oscillates. Timing: Zero-line crossovers mark wave transitions (e.g., from Wave 2 to Wave 3). Color changes (e.g., bright to light green) signal momentum shifts within waves, helping identify pulse peaks/troughs. Advantages Over MACD: The ROC histogram is more responsive than the MACD histogram because ROC directly measures price change percentage, while MACD relies on moving average differences, which introduce lag. This makes the ROC histogram better for capturing rapid 3-4 wave pulses, as you noted. Example Usage For a stock with 3-4 wave pulses on a 5-minute chart: Wave 1 (Flow): ROC rises above zero, histogram turns bright green (rising momentum), indicating a strong bullish pulse. Wave 2 (Ebb): ROC falls below zero, histogram shifts to bright red (falling momentum), signaling a corrective pullback. Wave 3 (Flow): ROC crosses back above zero, histogram becomes bright green again, confirming a powerful pulse. Wave 4 (Ebb): ROC dips slightly, histogram turns light green (falling momentum above zero) or light red (rising momentum below zero), indicating consolidation. Alerts trigger on zero-line crosses (e.g., from Wave 2 to Wave 3), helping time trades. Settings Recommendations Default (length=9): Works well for most time frames, balancing sensitivity and smoothness. Intraday Pulses: Use length=5 or length=7 for faster signals on 5-minute or 15-minute charts. Daily Charts: Try length=12 or length=14 for broader wave cycles. Testing: Apply to a stock with clear wave patterns (e.g., tech stocks like AAPL or TSLA) and adjust length to match the pulse frequency you observe. Notes Confirmation: Pair the ROC histogram with price action (e.g., Fibonacci retracements, support/resistance) to validate wave counts, as momentum oscillators can be noisy in choppy markets. Divergences: Watch for divergences (e.g., price makes a higher high, but ROC histogram bars are lower) to spot wave reversals, especially at Wave 3 or C ends. Comparison to MACD: The ROC histogram is faster and more direct, making it ideal for short-term pulse waves, but it may be more volatile, so use with technical levels for precision.
Pine Script® indicator
by Coulisnosaj
Gold/Silver RatioOverview This indicator displays the Gold/Silver Ratio by dividing the price of gold (XAUUSD) by the price of silver (XAGUSD) on the same timeframe. It is a widely used tool in macroeconomic and precious metals analysis, helping traders and investors evaluate the relative value of gold compared to silver. 📈 What it does Plots the ratio between gold and silver prices as a line on the chart. Displays two key horizontal levels: Overbought level at 90 (dashed red line). Oversold level at 70 (dashed green line). Highlights the chart background to show extreme conditions: Red shading when the ratio exceeds 90 (gold is likely overvalued relative to silver). Green shading when the ratio drops below 70 (silver is likely overvalued relative to gold). 🧠 How to Use When the ratio exceeds 90, it suggests that gold may be overbought or silver may be undervalued. Historically, these have been good times to consider shifting exposure from gold to silver. When the ratio falls below 70, it may indicate silver is overbought or gold is undervalued. This tool is best used in conjunction with technical analysis, macroeconomic trends, or RSI/Bollinger Bands applied to the ratio. ⚙️ Inputs This version of the script uses OANDA's XAUUSD and XAGUSD pairs for spot gold and silver prices. You may edit the request.security() calls to change data sources (e.g., FXCM, FOREXCOM, or CFD tickers from your broker). ✅ Best For: Macro traders Commodity investors Ratio and spread traders Long-term portfolio reallocators
Pine Script® indicator
by Slavtrad
RSI Full Forecast [Titans_Invest]RSI Full Forecast Get ready to experience the ultimate evolution of RSI-based indicators – the RSI Full Forecast, a boosted and even smarter version of the already powerful: RSI Forecast Now featuring over 40 additional entry conditions (forecasts), this indicator redefines the way you view the market. AI-Powered RSI Forecasting: Using advanced linear regression with the least squares method – a solid foundation for machine learning - the RSI Full Forecast enables you to predict future RSI behavior with impressive accuracy. But that’s not all: this new version also lets you monitor future crossovers between the RSI and the MA RSI, delivering early and strategic signals that go far beyond traditional analysis. You’ll be able to monitor future crossovers up to 20 bars ahead, giving you an even broader and more precise view of market movements. See the Future, Now: • Track upcoming RSI & RSI MA crossovers in advance. • Identify potential reversal zones before price reacts. • Uncover statistical behavior patterns that would normally go unnoticed. 40+ Intelligent Conditions: The new layer of conditions is designed to detect multiple high-probability scenarios based on historical patterns and predictive modeling. Each additional forecast is a window into the price's future, powered by robust mathematics and advanced algorithmic logic. Full Customization: All parameters can be tailored to fit your strategy – from smoothing periods to prediction sensitivity. You have complete control to turn raw data into smart decisions. Innovative, Accurate, Unique: This isn’t just an upgrade. It’s a quantum leap in technical analysis. RSI Full Forecast is the first of its kind: an indicator that blends statistical analysis, machine learning, and visual design to create a true real-time predictive system. ⯁ SCIENTIFIC BASIS LINEAR REGRESSION Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥. The general formula for a simple linear regression is given by: y = β₀ + β₁x + ε β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: y   = is the predicted variable (e.g. future value of RSI) x ​​  = is the explanatory variable (e.g. time or bar index) β0 = is the intercept (value of 𝑦 when 𝑥 = 0) 𝛽1 = is the slope of the line (rate of change) ε   = is the random error term The goal is to estimate the coefficients 𝛽0 and 𝛽1 ​​so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares. ⯁ LEAST SQUARES ESTIMATION To minimize the error between predicted and observed values, we use the following formulas: β₁ = / β₀ = ȳ - β₁x̄ Where: ∑ = sum x̄ = mean of x ȳ = mean of y x_i, y_i = individual values ​​of the variables. Where: x_i and y_i are the means of the independent and dependent variables, respectively. i ranges from 1 to n, the number of observations. These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity. ⯁ LINEAR REGRESSION IN MACHINE LEARNING Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies. By applying this model to the RSI, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis. ⯁ VISUAL INTERPRETATION Imagine an RSI time series like this: Time → RSI    → The regression line will smooth these values ​​and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted RSI, which can be crossed with the actual RSI to generate more intelligent signals. ⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED Linear Regression Models the relationship between variables using a straight line. Least Squares Minimizes the sum of squared errors between prediction and reality. Time Series Forecasting Estimates future values ​​based on historical data. Supervised Learning Trains models to predict outputs from known inputs. Statistical Smoothing Reduces noise and reveals underlying trends. ⯁ WHY THIS INDICATOR IS REVOLUTIONARY Scientifically-based: Based on statistical theory and mathematical inference. Unprecedented: First public RSI with least squares predictive modeling. Intelligent: Built with machine learning logic. Practical: Generates forward-thinking signals. Customizable: Flexible for any trading strategy. ⯁ CONCLUSION By combining RSI with linear regression, this indicator allows a trader to predict market momentum, not just follow it. RSI Full Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology. ⯁ Example of simple linear regression, which has one independent variable: ⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ). ⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values ​​using Matlab: ⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables. ⯁ The result of fitting a set of data points with a quadratic function: _________________________________________________ 🔮 Linear Regression: PineScript Technical Parameters 🔮 _________________________________________________ Forecast Types: • Flat: Assumes prices will remain the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: ta.linreg (built-in function) Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values ​​calculated using the least squares method on the source series. Syntax: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset: Offset. • return: Linear regression curve. This function has been cleverly applied to the RSI, making it capable of projecting future values ​​based on past statistical trends. ______________________________________________________ ______________________________________________________ ⯁ WHAT IS THE RSI❓ The Relative Strength Index (RSI) is a technical analysis indicator developed by J. Welles Wilder. It measures the magnitude of recent price movements to evaluate overbought or oversold conditions in a market. The RSI is an oscillator that ranges from 0 to 100 and is commonly used to identify potential reversal points, as well as the strength of a trend. ⯁ HOW TO USE THE RSI❓ The RSI is calculated based on average gains and losses over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and includes three main zones:   •  Overbought: When the RSI is above 70, indicating that the asset may be overbought.   •  Oversold: When the RSI is below 30, indicating that the asset may be oversold.   •  Neutral Zone: Between 30 and 70, where there is no clear signal of overbought or oversold conditions. ______________________________________________________ ______________________________________________________ ⯁ ENTRY CONDITIONS The conditions below are fully flexible and allow for complete customization of the signal. ______________________________________________________ ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📈 RSI Conditions: 🔹 RSI > Upper 🔹 RSI < Upper 🔹 RSI > Lower 🔹 RSI < Lower 🔹 RSI > Middle 🔹 RSI < Middle 🔹 RSI > MA 🔹 RSI < MA 📈 MA Conditions: 🔹 MA > Upper 🔹 MA < Upper 🔹 MA > Lower 🔹 MA < Lower 📈 Crossovers: 🔹 RSI (Crossover) Upper 🔹 RSI (Crossunder) Upper 🔹 RSI (Crossover) Lower 🔹 RSI (Crossunder) Lower 🔹 RSI (Crossover) Middle 🔹 RSI (Crossunder) Middle 🔹 RSI (Crossover) MA 🔹 RSI (Crossunder) MA 🔹 MA (Crossover) Upper 🔹 MA (Crossunder) Upper 🔹 MA (Crossover) Lower 🔹 MA (Crossunder) Lower 📈 RSI Divergences: 🔹 RSI Divergence Bull 🔹 RSI Divergence Bear 📈 RSI Forecast: 🔹 RSI (Crossover) MA Forecast 🔹 RSI (Crossunder) MA Forecast 🔹 RSI Forecast 1 > MA Forecast 1 🔹 RSI Forecast 1 < MA Forecast 1 🔹 RSI Forecast 2 > MA Forecast 2 🔹 RSI Forecast 2 < MA Forecast 2 🔹 RSI Forecast 3 > MA Forecast 3 🔹 RSI Forecast 3 < MA Forecast 3 🔹 RSI Forecast 4 > MA Forecast 4 🔹 RSI Forecast 4 < MA Forecast 4 🔹 RSI Forecast 5 > MA Forecast 5 🔹 RSI Forecast 5 < MA Forecast 5 🔹 RSI Forecast 6 > MA Forecast 6 🔹 RSI Forecast 6 < MA Forecast 6 🔹 RSI Forecast 7 > MA Forecast 7 🔹 RSI Forecast 7 < MA Forecast 7 🔹 RSI Forecast 8 > MA Forecast 8 🔹 RSI Forecast 8 < MA Forecast 8 🔹 RSI Forecast 9 > MA Forecast 9 🔹 RSI Forecast 9 < MA Forecast 9 🔹 RSI Forecast 10 > MA Forecast 10 🔹 RSI Forecast 10 < MA Forecast 10 🔹 RSI Forecast 11 > MA Forecast 11 🔹 RSI Forecast 11 < MA Forecast 11 🔹 RSI Forecast 12 > MA Forecast 12 🔹 RSI Forecast 12 < MA Forecast 12 🔹 RSI Forecast 13 > MA Forecast 13 🔹 RSI Forecast 13 < MA Forecast 13 🔹 RSI Forecast 14 > MA Forecast 14 🔹 RSI Forecast 14 < MA Forecast 14 🔹 RSI Forecast 15 > MA Forecast 15 🔹 RSI Forecast 15 < MA Forecast 15 🔹 RSI Forecast 16 > MA Forecast 16 🔹 RSI Forecast 16 < MA Forecast 16 🔹 RSI Forecast 17 > MA Forecast 17 🔹 RSI Forecast 17 < MA Forecast 17 🔹 RSI Forecast 18 > MA Forecast 18 🔹 RSI Forecast 18 < MA Forecast 18 🔹 RSI Forecast 19 > MA Forecast 19 🔹 RSI Forecast 19 < MA Forecast 19 🔹 RSI Forecast 20 > MA Forecast 20 🔹 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________   •  Signal Validity: The signal will remain valid for X bars .   •  Signal Sequence: Configurable as AND or OR . 📉 RSI Conditions: 🔸 RSI > Upper 🔸 RSI < Upper 🔸 RSI > Lower 🔸 RSI < Lower 🔸 RSI > Middle 🔸 RSI < Middle 🔸 RSI > MA 🔸 RSI < MA 📉 MA Conditions: 🔸 MA > Upper 🔸 MA < Upper 🔸 MA > Lower 🔸 MA < Lower 📉 Crossovers: 🔸 RSI (Crossover) Upper 🔸 RSI (Crossunder) Upper 🔸 RSI (Crossover) Lower 🔸 RSI (Crossunder) Lower 🔸 RSI (Crossover) Middle 🔸 RSI (Crossunder) Middle 🔸 RSI (Crossover) MA 🔸 RSI (Crossunder) MA 🔸 MA (Crossover) Upper 🔸 MA (Crossunder) Upper 🔸 MA (Crossover) Lower 🔸 MA (Crossunder) Lower 📉 RSI Divergences: 🔸 RSI Divergence Bull 🔸 RSI Divergence Bear 📉 RSI Forecast: 🔸 RSI (Crossover) MA Forecast 🔸 RSI (Crossunder) MA Forecast 🔸 RSI Forecast 1 > MA Forecast 1 🔸 RSI Forecast 1 < MA Forecast 1 🔸 RSI Forecast 2 > MA Forecast 2 🔸 RSI Forecast 2 < MA Forecast 2 🔸 RSI Forecast 3 > MA Forecast 3 🔸 RSI Forecast 3 < MA Forecast 3 🔸 RSI Forecast 4 > MA Forecast 4 🔸 RSI Forecast 4 < MA Forecast 4 🔸 RSI Forecast 5 > MA Forecast 5 🔸 RSI Forecast 5 < MA Forecast 5 🔸 RSI Forecast 6 > MA Forecast 6 🔸 RSI Forecast 6 < MA Forecast 6 🔸 RSI Forecast 7 > MA Forecast 7 🔸 RSI Forecast 7 < MA Forecast 7 🔸 RSI Forecast 8 > MA Forecast 8 🔸 RSI Forecast 8 < MA Forecast 8 🔸 RSI Forecast 9 > MA Forecast 9 🔸 RSI Forecast 9 < MA Forecast 9 🔸 RSI Forecast 10 > MA Forecast 10 🔸 RSI Forecast 10 < MA Forecast 10 🔸 RSI Forecast 11 > MA Forecast 11 🔸 RSI Forecast 11 < MA Forecast 11 🔸 RSI Forecast 12 > MA Forecast 12 🔸 RSI Forecast 12 < MA Forecast 12 🔸 RSI Forecast 13 > MA Forecast 13 🔸 RSI Forecast 13 < MA Forecast 13 🔸 RSI Forecast 14 > MA Forecast 14 🔸 RSI Forecast 14 < MA Forecast 14 🔸 RSI Forecast 15 > MA Forecast 15 🔸 RSI Forecast 15 < MA Forecast 15 🔸 RSI Forecast 16 > MA Forecast 16 🔸 RSI Forecast 16 < MA Forecast 16 🔸 RSI Forecast 17 > MA Forecast 17 🔸 RSI Forecast 17 < MA Forecast 17 🔸 RSI Forecast 18 > MA Forecast 18 🔸 RSI Forecast 18 < MA Forecast 18 🔸 RSI Forecast 19 > MA Forecast 19 🔸 RSI Forecast 19 < MA Forecast 19 🔸 RSI Forecast 20 > MA Forecast 20 🔸 RSI Forecast 20 < MA Forecast 20 ______________________________________________________ ______________________________________________________ 🤖 AUTOMATION 🤖 • You can automate the BUY and SELL signals of this indicator. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Condition Table: BUY/SELL Condition Labels: BUY/SELL Plot Labels in the Graph Above: BUY/SELL Automate and Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : RSI Full Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏
Pine Script® indicator
by Titans_Invest
Stablecoin Supply Ratio [Alpha Extract]Stablecoin Supply Ratio Indicator The Stablecoin Supply Ratio (SSR) indicator compares Bitcoin's market capitalization to the aggregate supply of major stablecoins, offering insights into relative purchasing power and liquidity. This tool helps traders: ✔ Assess Bitcoin's buying power relative to the available stablecoin liquidity. ✔ Detect periods of capital inflow or outflow from stablecoins. ✔ Identify market sentiment shifts based on stablecoin reserves. 🔶 CALCULATION The indicator aggregates the supply of key stablecoins and compares it to Bitcoin's market cap: Stablecoin Aggregation • Inputs: USDT, USDC, DAI, USDD (daily closing values). BUSD Market Cap (Glassnode data). • Total Stablecoin Supply: Sum of the listed stablecoins' market caps. Stablecoin Supply Ratio (SSR) • Formula: SSR = Bitcoin Market Cap / Total Stablecoin Supply • Normalized SSR: Normalized by dividing SSR by its 200-day SMA. Bollinger Bands • Bands are applied to the normalized SSR using a configurable moving average type and 2 standard deviations. Example Calculation: ssr = btcmc / stablecoin_liq ratio = ssr / ta.sma(ssr, 200) basis = ta.sma(ratio, 200) dev = 2 * ta.stdev(ratio, 200) upper = basis + dev lower = basis - dev 🔶 DETAILS Visual Features: • Normalized SSR: Plotted as a light green line. • Upper Band: Red line indicating SSR overbought zone. • Lower Band: Green line signaling SSR oversold zone. Interpretation: • High SSR: Indicates stablecoin reserves are low relative to Bitcoin's market cap, reducing stablecoin buying power. • Low SSR: Suggests high stablecoin liquidity relative to Bitcoin's market cap, increasing potential buying pressure. • Band Crosses: Movements beyond the upper or lower bands may signal sentiment extremes. 🔶 EXAMPLES Market insights include: • Capital Outflows: SSR rising into the upper band may reflect decreasing stablecoin reserves, potentially signaling a liquidity drain. • Capital Inflows: SSR dropping near the lower band could indicate growing stablecoin reserves, potentially fueling Bitcoin demand. 🔶 SETTINGS Customization Options: • MA Type: Choose between SMA, EMA, WMA, SMMA, and VWMA for band calculation. • Period: Adjust the 200-day smoothing period. • Deviation Multiplier: Modify the standard deviation multiplier (default: 2). The Stablecoin Supply Ratio indicator is a valuable tool for traders monitoring liquidity dynamics and stablecoin trends to anticipate Bitcoin market moves and capital flows.
Pine Script® indicator
by AlphaExtract
Kalman Filtered RSI | [DeV]The Kalman Filtered RSI indicator is an advanced tool designed for traders who want precise, noise-free market insights. By enhancing the classic Relative Strength Index (RSI) with a Kalman filter, this indicator delivers a smoother, more reliable view of market momentum, helping you identify trends, reversals, and overbought/oversold conditions with greater accuracy. It’s an ideal choice for traders seeking clear signals amidst market volatility, giving you a competitive edge across any trading environment. The RSI measures momentum by analyzing price movements over a set period, typically 14 bars. It calculates the average of price gains on up days and the average of price losses on down days, then compares these to produce a value between 0 and 100. An RSI above 70 often indicates an overbought market that may reverse downward, while below 30 suggests an oversold market that could reverse upward. RSI is great for spotting momentum shifts, potential reversals, and trend strength, but it can be noisy in choppy markets, leading to misleading signals. That's where the Kalman filter comes in; it enhances the RSI by applying a sophisticated smoothing process that predicts the RSI’s next value based on its historical trend, then updates this prediction with the actual RSI reading. It operates in two phases: prediction and correction. In the prediction phase, it uses the previous filtered RSI and adds uncertainty from process noise (Q), which is derived from the historical variance of RSI changes, reflecting how much the RSI might unexpectedly shift. In the correction phase, it calculates a Kalman gain based on the ratio of prediction uncertainty to measurement noise (R), which is determined from the variance between raw RSI and a smoothed version, indicating the raw data’s noisiness. This gain weights how much the filter trusts the new RSI versus the prediction, blending them to produce a smoothed RSI that reduces noise while staying responsive to real trends, outperforming simpler methods like moving averages that often lag or oversmooth. With the Kalman Filtered RSI, you get a refined view of momentum, making it easier to spot trends and reversals with clarity. This indicator’s ability to dynamically adapt to market changes delivers timely, reliable signals, making it a powerful addition to your trading strategy for any market or timeframe.
Pine Script® indicator
by DeVrizii
Quad Rotation StochasticQuad Rotation Stochastic The Quad Rotation Stochastic is a powerful and unique momentum oscillator that combines four different stochastic setups into one tool, providing an incredibly detailed view of market conditions. This multi-timeframe stochastic approach helps traders better anticipate trend continuations, reversals, and momentum shifts with greater precision than traditional single stochastic indicators. Why this indicator is useful: Multi-layered Momentum Analysis: Instead of relying on one stochastic, this script tracks four independent stochastic readings, smoothing out noise and confirming stronger signals. Advanced Divergence Detection: It automatically identifies bullish and bearish divergences for each stochastic, helping traders spot potential reversals early. Background Color Alerts: When a configurable number (e.g., 3 or 4) of the stochastics agree in direction and position (overbought/oversold), the background colors green (bullish) or red (bearish) to give instant visual cues. ABCD Pattern Recognition: The script recognizes "shield" patterns when Stochastic 4 remains stuck at extreme levels (above 90 or below 10) for a set time, warning of potential trend continuation setups. Super Signal Alerts: If all four stochastics align in extreme conditions and slope in the same direction, the indicator plots a special "Super Signal," offering high-confidence entry opportunities. Why this indicator is unique: Quad Confirmation Logic: Combining four different stochastics makes this tool much less prone to false signals compared to using a single stochastic. Customizable Divergence Coloring: Traders can choose to have divergence lines automatically match the stochastic color for clear visual association. Adaptive ABCD Shields: Innovative use of bar counting while a stochastic remains extreme acts as a "shield," offering a unique way to filter out minor fake-outs. Flexible Configuration: Each stochastic's sensitivity, divergence settings, and visual styling can be fully customized, allowing traders to adapt it to their own strategy and asset. Example Usage: Trading Bitcoin with Quad Rotation Stochastic When trading Bitcoin (BTCUSD), you might set the minimum count (minCount) to 3, meaning three out of four stochastics must be in agreement to trigger a background color. If the background turns green, and you notice an ABCD Bullish Shield (Green X), you might look for bullish candlestick patterns or moving average crossovers to enter a long trade. Conversely, if the background turns red and a Super Down Signal appears, it suggests high probability for further downside, giving you strong confirmation to either short BTC or avoid entering new longs. By combining divergence signals with background colors and the ABCD shields, the Quad Rotation Stochastic provides a layered confirmation system that gives traders greater confidence in their entries and exits — particularly in fast-moving, volatile markets like Bitcoin.
Pine Script® indicator
by SaveWithCrypto
6
Stochastic and RSI2 entriesStochastic and RSI2 entries, v1.0 This indicator combines Stochastic and RSI to facilitate "RSI2" entry signals. Buy signals will be shown at the bottom. The default configuration uses non-standard settings for the underlying indicators to tailor it for this type of entry strategy. This is an entry strategy that tries to find entries close to "the dip". A combination of Stochastic crossovers, VWAP, daily SMA50 and daily SMA200 are used to verify buy signals. This indicator is written for bullish signals and aims to find the start of short trends or cheap entries for longer positions. Like with any strategy, some signals will be false, and the user is advised to do some own research before using the buy signals for actual entries. Happy trading!
Pine Script® indicator
by infoq1suh
[blackcat] L1 Bollinger Bands Width WatcherOVERVIEW The Bollinger Bands Width Watcher is an advanced tool designed to monitor the width of Bollinger Bands, providing insights into market volatility and potential trend reversals. This indicator calculates both absolute and relative widths of the bands, plotting them on the chart for easy visualization. It also generates buy and sell signals based on crossover events, helping traders make informed decisions 📊✅. Today, this article introduces the final member of the Bollinger Bands trio—Bollinger Bands Width (BBW). Derived from the renowned Bollinger Bands, this indicator measures price volatility and identifies trading signals. First, let’s delve into what Bollinger Bands are. They consist of three lines associated with the price of a security: The middle line is typically a 20-day Simple Moving Average (SMA). The upper and lower bands represent two standard deviations above and below the middle band. The Bollinger Bands Width measures the distance between these upper and lower bands. Bollinger Bands Width = (Upper Band - Lower Band) / Middle Band Calculating BBW involves subtracting the lower band from the upper band and dividing by the middle band to obtain the BBW value. However, interpreting BBW values alone isn't enough to determine if they're narrow or wide. Different instruments or timeframes might define narrowness differently. To gauge the significance of band narrowing accurately, analyzing past BBW fluctuations alongside price movements is essential. One prominent theory involving Bollinger Bands is the "squeeze." A squeeze setup comprises two phases: Low volatility, where bands narrow, and prices move sideways. Increased volatility, where prices breach either the upper or lower band, initiating a new trend. During a bullish squeeze, BBW diminishes, and breaking above the upper band signals a new uptrend. Conversely, in a bearish squeeze, BBW declines, and falling below the lower band indicates a new downtrend. While BBW excels at spotting squeezes, traders must exercise caution. Even with a squeeze setup, a robust market trend might not materialize. Validating breakouts necessitates personal judgment and additional confirmation techniques. Now, let's explore key parameters and settings: Length: Defines the period for computing the base SMA, defaulting to 20 days. Source: Specifies the data source per candle, defaulting to the closing price. Standard Deviation: Sets the number of standard deviations from the SMA for the upper and lower bands, defaulting to 2. FEATURES Calculates Bollinger Bands Width using customizable parameters: Smoothing Length: Number of bars used for calculating the moving average and standard deviation. Source Price: Defaults to closing prices but can be adjusted. Standard Deviation Multiplier: Controls the width of the bands. Plots two types of Bollinger Bands Width: Absolute width relative to the basis (Yellow Line). Relative width compared to the close price (Fuchsia Line). Fills the area between the two plotted lines for better visual context 🌈 Generates buy ('Buy') and sell ('Sell') labels based on crossover events 🏷️ Provides alerts for crossover signals to notify users of potential trade opportunities 🔔 HOW TO USE Add the indicator to your TradingView chart by selecting it from the indicators list. Adjust the Smoothing Length, Source Price, and Standard Deviation Multiplier as needed ⚙️. Observe the plotted Bollinger Bands Width lines and filled areas for insights into market volatility. Monitor the chart for buy and sell labels indicating potential trade opportunities. Set up alerts based on the generated signals to receive notifications when conditions are met 📲. LIMITATIONS The indicator may generate false signals in highly volatile or ranging markets 🌪️. Users should combine this indicator with other forms of analysis for more reliable trading decisions. The effectiveness of the indicator may vary depending on the asset and timeframe being analyzed. NOTES Ensure that you have sufficient historical data available for accurate calculations. Test the indicator thoroughly on demo accounts before applying it to live trading 🔍. Customize the appearance and parameters as needed to fit your trading strategy.
Pine Script® indicator
by blackcat1402
RSI Strength & Consolidation Zones (Zeiierman)█ Overview RSI Strength & Consolidation Zones (Zeiierman) is a hybrid momentum and volatility visualization tool that blends enhanced RSI interpretation with ADX-driven consolidation detection. This indicator doesn't just show where RSI is trending — it interprets how strong that trend is, when that strength changes, and where the market may be consolidating in anticipation of breakout movement. Using a combination of Kalman-filtered RSI, custom-built DMI/ADX, and low-volatility zone recognition, it gives traders a dynamic RSI with strength-based coloring, while also highlighting consolidation zones to spot breakout opportunities. █ Its uniqueness Traditional RSI indicators lack context. They may show you when the market is overbought or oversold, but they won’t tell you how strong that condition is, or whether it’s likely to result in continuation or consolidation. This tool aims to solve that by introducing adaptive strength metrics and structural compression zones, allowing traders to anticipate when the market is likely preparing for a move. █ How It Works ⚪ Enhanced RSI Combines traditional RSI and a custom RSI implementation Smooths both through a Kalman filter for trend direction Final RSI line reflects smoothed consensus between manual and built-in RSI Adds an RSI + Strength overlay to show when the directional conviction is increasing ⚪ ADX-Driven Strength Layer Directional Movement Index (DMI) is calculated both manually and with built-in smoothing The average ADX value is used to calculate a strength modifier When ADX exceeds 20, RSI is dynamically enhanced or dampened to reflect directional force Resulting visual: RSI appears stronger or weaker based on confirmed trend conditions ⚪ Consolidation Zone Detection When ADX falls below 20, the indicator enters a consolidation zone state Boxes are drawn dynamically to contain the price within these low-volatility structures Once the price breaks out of the zone, the indicator plots a breakout signal (▲ or ▼) ⚪ Breakouts Breakout markers are placed at the first close outside the consolidation box These signals serve as early indicators for potential trend continuation or reversal █ How to Use ⚪ Confirm Momentum Strength Use the RSI + Strength line to determine whether current momentum is backed by trend conviction. If strength expands alongside rising RSI, the move has confirmation. ⚪ Consolidations Zones When RSI is around the midline, and a consolidation box appears, expect lower volatility and a range-bound market, followed by a breakout. ⚪ Use Breakout Signals for Entry Look for ▲ or ▼ markers as early triggers. These often coincide with volume expansions or structural breaks. █ Settings Explained RSI Length – Number of bars used for RSI. Shorter = more sensitive. DMI Length – Used in both custom and built-in ADX/DI calculations. ADX Smoothing – Smooths the trend strength signal. Higher values = smoother strength detection. Trend Confirmation (Filter Strength) – Adjusts the responsiveness of the Kalman filter. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script® indicator
by Zeiierman
9
Stochastics + CM Williams VixFix (Simple Buy Signal)📈 Stochastics + CM Williams VixFix (Simple Buy Signal) This indicator combines two powerful tools to detect potential bottoming opportunities: ✅ Stochastics: Looks for momentum reversals. A signal is triggered when both %K and %D are below the oversold threshold (default: 20), suggesting the asset is deeply oversold. ✅ CM Williams Vix Fix: A volatility-based fear detector. When it spikes above its dynamic threshold, it indicates potential panic selling — often preceding a market bounce. 💡 Buy Signal is generated when: %K and %D are both below 20 VixFix shows a volatility spike (green condition) Use this script to identify high-probability reversal setups, especially during market corrections or panic phases.
Pine Script® indicator
by aldofg
Dual Momentum OSCOverview: Momentum OSC is a dual-layered momentum oscillator that blends multi-timeframe momentum readings with moving average crossovers for deeper insight into trend acceleration and exhaustion. Perfect for confirming trend strength or spotting early shifts in momentum. Features: ✅ Two separate momentum streams with customizable timeframes ✅ Smoothing via moving averages for both momenta ✅ Cross-timeframe momentum structure for confirmation and divergence ✅ Color-coded areas for intuitive visual interpretation ✅ Optional crossover markers to signal bullish/bearish momentum shifts How It Works: The script calculates two momentum values by comparing current price sources against lagged values across separate timeframes. Each is smoothed with a moving average to filter noise. The difference between momentum and its moving average forms a core component of trend strength confirmation. Optional visual circles mark bullish or bearish crossovers. Customizable Inputs: Timeframes, sources, lengths, and MA periods for both momentum streams Toggle to display momentum cross signals (circles) Works on any asset or timeframe
Pine Script® indicator
by adamples01
QuantumSync Pulse [ w.aritas ]QuantumSync Pulse (QSP) is an advanced technical indicator crafted for traders seeking a dynamic and adaptable tool to analyze diverse market conditions. By integrating momentum, mean reversion, and regime detection with quantum-inspired calculations and entropy analysis, QSP offers a powerful histogram that reflects trend strength and market uncertainty. With multi-timeframe synchronization, adaptive filtering, and customizable visualization, it’s a versatile addition to any trading strategy. Key Features Hybrid Signals: Combines momentum and mean reversion, dynamically weighted by market regime. Quantum Tunneling: Enhances responsiveness in volatile markets using volatility-adjusted calculations. 3-State Entropy: Assesses market uncertainty across up, down, and neutral states. Regime Detection: Adapts signal weights with Hurst exponent and volatility ROC. Multi-Timeframe Alignment: Syncs with higher timeframe trends for context. Customizable Histogram: Displays trend strength with ADX-based visuals and flexible styling. How to Use and Interpret Histogram Interpretation Positive (Above Zero): Bullish momentum; color intensity shows trend strength. Negative (Below Zero): Bearish momentum; gradients indicate weakness. Overlaps: Alignment of final_z (signal) and ohlc4 (price) histograms highlights key price levels or turning points. Regime Visualization Green Background: Trending market; prioritize momentum signals. Red Background: Mean-reverting market; focus on reversion signals. Blue Background: Neutral state; balance both signal types. Trading Signals Buy: Histogram crosses above zero or shows positive divergence between histograms. Sell: Histogram crosses below zero or exhibits negative divergence. Confirmation: Match signals with regime background—green for trends, red for ranges. Customization Tweak Momentum Length, Entropy Lookback, and Hurst Exponent Lookback for sensitivity. Adjust color themes and transparency to suit your charts. Tips for Optimal Use Timeframes: Use higher timeframes (1h, 4h) for trend context and lower (5m, 15m) for entries. Pairing: Combine with RSI, MACD, or volume indicators for confirmation. Backtesting: Test settings on historical data for asset-specific optimization. Overlaps: Watch for histogram overlaps to identify support, resistance, or reversals. Simulated Performance Trending Markets: Histogram stays above/below zero, with overlaps at retracements for entries. Range-Bound Markets: Oscillates around zero; overlaps signal reversals in red regimes. Volatile Markets: Quantum tunneling ensures quick reactions, with filters reducing noise. Elevate your trading with QuantumSync Pulse—a sophisticated tool that adapts to the market’s rhythm and your unique style.
Pine Script® indicator
by insidermike
CyberCandle SwiftEdgeCyberCandle SwiftEdge Overview CyberCandle SwiftEdge is a cutting-edge, AI-inspired trading indicator designed for traders seeking precision and clarity in trend-following and swing trading. Powered by SwiftEdge, it combines Heikin Ashi candles, a gradient-colored Exponential Moving Average (EMA), and a Relative Strength Index (RSI) to deliver clear buy and sell signals. Featuring glowing visuals, dynamic signal icons, and a customizable RSI dashboard in the top-right corner, this script offers a futuristic interface for identifying high-probability trade setups on various timeframes (e.g., 1H, 4H). What It Does CyberCandle SwiftEdge integrates three powerful components to generate actionable trading signals: Heikin Ashi Candles: Smooths price action to highlight trends, reducing market noise and making reversals easier to spot. Gradient EMA: A 100-period EMA with dynamic color transitions (blue/cyan for uptrends, red/pink for downtrends) to confirm market direction. RSI Dashboard: A neon-lit display showing RSI levels, indicating overbought (>70), oversold (<30), or neutral (30-70) conditions. Buy and sell signals are marked with prominent, glowing icons (triangles and arrows) based on trend direction, momentum, and specific Heikin Ashi patterns. The script’s customizable parameters allow traders to tailor the strategy to their preferences, balancing signal frequency and precision. How It Works The strategy leverages the synergy of Heikin Ashi, EMA, and RSI to filter trades and highlight opportunities: Trend Direction: The price must be above the EMA for buy signals (bullish trend) or below for sell signals (bearish trend). The EMA’s gradient color shifts based on its slope, visually reinforcing trend strength. Momentum Confirmation: RSI must exceed a user-defined threshold (default: 50) for buy signals or fall below it for sell signals, ensuring momentum supports the trade. Candle Patterns: Buy signals require a green Heikin Ashi candle (close > open), with the two prior candles having minimal upper wicks (≤5% of candle body) and being red (indicating a retracement). Sell signals require a red candle, minimal lower wicks, and two prior green candles. RSI Dashboard: Positioned in the top-right corner, it features a glowing circle (red for overbought, green for oversold, blue for neutral), the current RSI value, and a status indicator (triangle for extremes, square for neutral). This provides instant momentum insights without cluttering the chart. By combining Heikin Ashi’s trend clarity, EMA’s directional filter, and RSI’s momentum validation, CyberCandle SwiftEdge minimizes false signals and highlights trades with strong potential. Its vibrant, AI-like visuals make it easy to interpret at a glance. How to Use It Add to Chart: In TradingView, search for "CyberCandle SwiftEdge" and add it to your chart. Set the chart to Heikin Ashi candles for optimal compatibility. Interpret Signals: Buy Signal: Large green triangles and arrows appear below candles when the price is above the EMA, RSI is above the buy threshold (default: 50), and conditions for a bullish retracement are met. Consider entering a long position with a 1:2 risk/reward ratio. Sell Signal: Large red triangles and arrows appear above candles when the price is below the EMA, RSI is below the sell threshold (default: 50), and conditions for a bearish retracement are met. Consider entering a short position. RSI Dashboard: Monitor the top-right dashboard. A red circle (RSI > 70) suggests caution for buys, a green circle (RSI < 30) indicates potential buying opportunities, and a blue circle (RSI 30-70) signals neutrality. Customize Parameters: Open the indicator’s settings to adjust: EMA Length (default: 100): Increase (e.g., 200) for longer-term trends or decrease (e.g., 50) for shorter-term sensitivity. RSI Length (default: 14): Adjust for more (e.g., 7) or less (e.g., 21) responsive momentum signals. RSI Buy/Sell Thresholds (default: 50): Set higher (e.g., 55) for buys or lower (e.g., 45) for sells to require stronger momentum. Wick Tolerance (default: 0.05): Increase (e.g., 0.1) to allow larger wicks, generating more signals, or decrease (e.g., 0.02) for stricter conditions. Require Retracement (default: true): Disable to remove the two-candle retracement requirement, increasing signal frequency. Trading: Use signals in conjunction with the RSI dashboard and market context. For example, avoid buy signals if the RSI dashboard is red (overbought). Always apply proper risk management, such as setting stop-losses based on recent lows/highs. What Makes It Original CyberCandle SwiftEdge stands out due to its futuristic, AI-inspired visual design and user-friendly customization: Neon Aesthetics: Glowing Heikin Ashi candles, gradient EMA, and dynamic signal icons (triangles and arrows) with RSI-driven transparency create a high-tech, immersive experience. RSI Dashboard: A compact, top-right display with a neon circle, RSI value, and adaptive status indicator (triangle/square) provides instant momentum insights without cluttering the chart. Customizability: Users can fine-tune EMA length, RSI parameters, wick tolerance, and retracement requirements via TradingView’s settings, balancing signal frequency and precision. Integrated Approach: The synergy of Heikin Ashi’s trend clarity, EMA’s directional strength, and RSI’s momentum validation offers a cohesive strategy that reduces false signals. Why This Combination? The script combines Heikin Ashi, EMA, and RSI for a complementary effect: Heikin Ashi smooths price fluctuations, making it ideal for identifying sustained trends and retracements, which are critical for the strategy’s signal logic. EMA provides a reliable trend filter, ensuring signals align with the broader market direction. Its gradient color enhances visual trend recognition. RSI adds momentum context, confirming that signals occur during favorable conditions (e.g., RSI > 50 for buys). The dashboard makes RSI intuitive, even for non-technical users. Together, these components create a balanced system that captures trend reversals after retracements, validated by momentum, with a visually engaging interface that simplifies decision-making. Tips Best used on volatile assets (e.g., BTC/USD, EUR/USD) and higher timeframes (1H, 4H) for clearer trends. Experiment with parameters in the settings to match your trading style (e.g., increase wick tolerance for more signals). Combine with other analysis (e.g., support/resistance) for higher-confidence trades. Note This indicator is for informational purposes and does not guarantee profits. Always backtest and use proper risk management before trading.
Pine Script® indicator
by SwiftEdge