Oscillator Matrix [Alpha Extract]A comprehensive multi-oscillator system that combines volume-weighted money flow analysis with enhanced momentum detection, providing traders with a unified framework for identifying high-probability market opportunities across all timeframes. By integrating two powerful oscillators with advanced confluence analysis, this indicator delivers precise entry and exit signals while filtering out market noise through sophisticated threshold-based regime detection.
🔶 Volume-Weighted Money Flow Analysis
Utilizes an advanced money flow calculation that tracks volume-weighted price movements to identify institutional activity and smart money flow. This approach provides superior signal quality by emphasizing high-volume price movements while filtering out low-volume market noise.
// Volume-weighted flows
up_volume = price_up ? volume : 0
down_volume = price_down ? volume : 0
// Money Flow calculation
up_vol_sum = ta.sma(up_volume, mf_length)
down_vol_sum = ta.sma(down_volume, mf_length)
total_volume = up_vol_sum + down_vol_sum
money_flow_ratio = total_volume > 0 ? (up_vol_sum - down_vol_sum) / total_volume : 0
🔶 Enhanced Hyper Wave Oscillator
Features a sophisticated MACD-based momentum oscillator with advanced normalization techniques that adapt to different price ranges and market volatility. The system uses percentage-based calculations to ensure consistent performance across various instruments and timeframes.
// Enhanced MACD-based oscillator
fast_ma = ta.ema(src, hw_fast)
slow_ma = ta.ema(src, hw_slow)
macd_line = fast_ma - slow_ma
signal_line = ta.ema(macd_line, hw_signal)
// Proper normalization using percentage of price
price_base = ta.sma(close, 50)
macd_normalized = macd_line / price_base
hyper_wave = macd_range > 0 ? macd_normalized / macd_range : 0
🔶 Multi-Factor Confluence System
Implements an intelligent confluence scoring mechanism that combines signals from both oscillators to identify high-probability trading opportunities. The system assigns strength scores based on multiple confirmation factors, significantly reducing false signals.
🔶 Fixed Threshold Levels
Uses predefined threshold levels optimized for standard oscillator ranges to distinguish between normal market fluctuations and significant momentum shifts. The dual-threshold system provides clear visual cues for overbought/oversold conditions while maintaining consistent signal criteria across different market conditions.
🔶 Overflow Detection Technology
Advanced overflow indicators identify extreme market conditions that often precede major reversals or continuation patterns. These signals highlight moments when market momentum reaches critical levels, providing early warning for potential turning points.
🔶 Dual Oscillator Integration
The indicator simultaneously tracks volume-weighted money flow and momentum-based price action through two independent oscillators. This dual approach ensures comprehensive market analysis by capturing both institutional activity and technical momentum patterns.
// Multi-factor confluence scoring
confluence_bull = (mf_bullish ? 1 : 0) + (hw_bullish ? 1 : 0) +
(mf_overflow_bull ? 1 : 0) + (hw_overflow_bull ? 1 : 0)
confluence_bear = (mf_bearish ? 1 : 0) + (hw_bearish ? 1 : 0) +
(mf_overflow_bear ? 1 : 0) + (hw_overflow_bear ? 1 : 0)
confluence_strength = confluence_bull > confluence_bear ? confluence_bull / 4 : -confluence_bear / 4
🔶 Intelligent Signal Generation
The system generates two tiers of reversal signals: strong signals that require multiple confirmations across both oscillators, and weak signals that identify early momentum shifts. This hierarchical approach allows traders to adjust position sizing based on signal strength.
🔶 Visual Confluence Zones
Background coloring dynamically adjusts based on confluence strength, creating visual zones that immediately communicate market sentiment. The intensity of background shading corresponds to the strength of the confluent signals, making pattern recognition effortless.
🔶 Threshold Visualization
Color-coded threshold zones provide instant visual feedback about oscillator positions relative to key levels. The fill areas between thresholds create clear overbought and oversold regions with graduated color intensity.
🔶 Candle Color Integration
Optional candle coloring applies confluence-based color logic directly to price bars, creating a unified visual framework that helps traders correlate indicator signals with actual price movements for enhanced decision-making.
🔶 Overflow Alert System
Specialized circular markers highlight extreme overflow conditions on both oscillators, drawing attention to potential climax moves that often precede significant reversals or accelerated trend continuation.
🔶 Customizable Display Options
Comprehensive display controls allow traders to toggle individual components on or off, enabling focused analysis on specific aspects of the indicator. This modularity ensures the indicator adapts to different trading styles and analytical preferences.
1 Week
1 Day
15 Min
This indicator provides a complete analytical framework by combining volume analysis with momentum detection in a single, coherent system. By offering multiple confirmation layers and clear visual hierarchies, it empowers traders to identify high-probability opportunities while maintaining precise risk management across all market conditions and timeframes. The sophisticated confluence system ensures that signals are both timely and reliable, making it an essential tool for serious technical analysts.
트렌드 어낼리시스
NOK Basket (Equal-Weighted)Measures the Norwegian crown's relative value to a basket of other currencies: EUR, USD, GBP, SEK AND DKK.
Maple MomoriderMaple MomoRider is a trend-continuation algorithm crafted for highly volatile markets such as cryptocurrencies and gold (XAUUSD).
It adapts to market rhythm and volatility, identifying pullback zones where momentum continuation is more probable.
📌 Optimized for assets with strong intraday swings
📌 Best used on 15m and higher timeframes
📌 Helps traders ride the momentum with 1:2 RRR or more when combined with solid risk management
Instead of relying on static averages, Maple MomoRider employs a dynamic algorithmic filter that reacts to market conditions, making it an excellent companion for traders seeking to catch the next impulsive move in crypto or gold.
Maple Liquidity Hunter📌 Description for Maple Liquidity Hunter
Maple Liquidity Hunter – AI-Enhanced Volume Liquidity Detector
Maple Liquidity Hunter is an advanced volume-based indicator designed to uncover hidden liquidity zones in the market.
By dynamically analyzing price–volume interactions, it automatically highlights momentum shifts with adaptive color coding.
✨ Key Features
AI-inspired volume/price analysis model
Detects liquidity surges and potential absorption points
Auto-coloring of volume bars for quick visual recognition
Optional volume moving average filter for trend context
⚠️ Disclaimer: This tool is for educational and research purposes only. It does not guarantee future results. Always test thoroughly before live trading.
Maple Algorithm_GOLDMaple Algorithm – AI-Powered Gold Indicator
Maple Algorithm is an AI-inspired indicator designed specifically around the price behavior of Gold (XAUUSD).
It automatically calculates and plots take-profit (TP) and stop-loss (SL) levels based on dynamic market conditions, allowing traders to capture precise entries and exits.
✨ Key Features
AI-driven adaptive model trained on Gold’s market structure
Auto-generated TP/SL zones for precision trading
Compatible with your own strategies — scale from 1:2 RRR up to even higher setups
Optimized for scalping and short-term momentum bursts
⚠️ Disclaimer:
This indicator is for educational and research purposes only. It does not guarantee future results. Always test thoroughly before applying to live trading.
OPEN = LOW + VWAP + Volume SurgeTradingView Pine Script that scans for OPEN = LOW, confirms VWAP support, and checks for volume surge — tailored for your intraday breakout strategy
Breakout Zones • No Repaint (Daily Levels)📌 Breakout Zones • No Repaint (Daily Levels)
This indicator is designed to help intraday and swing traders identify high-probability breakout levels based on the previous day’s price action. It uses pivot logic derived from the prior daily high, low, and close to generate precise Buy/Sell entries and Take Profit (TP) levels.
🧠 How It Works:
Daily Levels Calculation:
At the start of each trading day, the script calculates:
Sideways Zone = (Previous Day High + Low + Close) ÷ 3
Buy Entry (r1) = Sideways + 38.2% of yesterday’s range
Buy TP (r2) = Sideways + 61.8% of yesterday’s range
Sell Entry (s1) = Sideways – 38.2% of range
Sell TP (s2) = Sideways – 61.8% of range
Signals Generation (No Repaint):
A Buy Signal is generated when price closes above r1 (confirmed on the next candle).
A Sell Signal occurs when price closes below s1.
Signals are generated only once per day, ensuring clarity and avoiding noise.
Simulated Trade Tracking:
Each signal is tracked as a simulated trade.
If TP is hit (r2 or s2), it's counted as a win.
If TP isn't hit by the end of the day, it's a loss.
The system never repaints signals — what you see in backtest is what happened live.
Stop Loss Logic (Optional):
In strategy mode (not this script), SL can be set at the Sideways Zone (p) to manage risk.
📊 Live Trading Statistics:
A dynamic table updates in real-time, showing:
Current Trade Status (Buy Active, Sell Active, Sideways)
Today’s Entry & TP Levels
Historical Accuracy
Buy Win %
Sell Win %
Total Win %
Number of trades tracked (up to 300 lookback)
🔎 How to Use:
Add to your chart and switch to intraday timeframes like 5m, 15m, 1h.
Observe the Buy/Sell arrows and TP levels — they are confirmed signals, not repainting.
Use the accuracy table to gauge performance historically and for the current session.
Combine with volume, momentum, or trend filters for enhanced decision making.
🧩 Designed For:
Intraday scalpers looking for breakout zones
Swing traders analyzing daily structure
Users who want clean, reliable, non-repainting signals
Traders who prefer to visualize risk/reward zones automatically
🔒 About Access:
✅ This script is free to use, but source code is locked to preserve functionality, prevent tampering, and ensure clean performance for all users.
📢 Feedback Welcome!
We’re constantly improving the tool. If you find bugs, want new features, or have a use-case you'd like supported, just leave a comment.
➕ Add this indicator to your toolkit and stop chasing false breakouts.
📈 Let the chart tell you when a real opportunity forms — no repainting, no guesswork.
Liquidity+FVG+OB Strategy (v6)How the strategy works (summary)
Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB).
Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB).
Stop Loss and Take Profit are placed using ATR multiples (configurable).
Position sizing is fixed contract/lot size (configurable).
You can require OB confirmation (within ob_confirm_window bars).
Alerts still exist and visuals are preserved.
Liquidity + FVG + OB Markings (Fixed v6)This indicator is built for price-action traders.
It automatically finds and plots three key structures on your chart:
Liquidity Levels – swing highs & lows that often get targeted by price.
Fair-Value Gaps (FVG) – inefficient price gaps between candles.
Order-Blocks (OB) – zones created by strong, high-volume impulsive candles.
It also provides alerts and a small information table so you can quickly gauge the current market context.
Nadaraya-Watson Multi-TF DashboardThis script is a Multi-Timeframe Flip State Dashboard based on Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting) indicator. It visualizes trend "flip" states across up to 8 custom timeframes using a consistent, non-repainting methodology. Built on 1-minute data, each timeframe row in the table updates only after its bar fully closes, ensuring accuracy and eliminating repainting issues.
Key features:
✅ Based on the Nadaraya-Watson Rational Quadratic Kernel, used to estimate trend direction
🧠 Each timeframe uses the same base 1-minute data for consistency across resolutions
🔄 Flip state detection is defined by slope reversals in the kernel regression
🧱 Fully supports non-repainting, close-confirmed states using lookahead=off
🧮 Configurable lookback window, kernel weighting, lag, and timeframes
🎨 Visual dashboard plots each TF’s state as a colored cell (green for bullish, red for bearish)
🛠️ Includes inline plots and debug traces to help visualize regression and flip logic
This dashboard is ideal for traders who want a compact visual overview of confirmed trend shifts across multiple timeframes, all using a mathematically grounded, TF-consistent model.
Dizzy HOLO🚀 Dizzy HOLO is an all-in-one professional trading suite designed for serious traders.
It combines Pivot Points, Opening Range Breakout (ORB), HOLO (High of Low / Low of High), Weekly Levels, SMA Thresholds, and Real-Time Alerts into a single lightweight indicator.
🔑 Key Features:
✅ Pivot Points (Fibonacci & Camarilla) – Automatic support & resistance with labels.
✅ Opening Range Breakout (ORB) – Custom session ORB with historical data and breakout alerts.
✅ HOLO Strategy – Daily High/Low, Highest H1 Open, Lowest H1 Close with dynamic buy/sell zones.
✅ Weekly Levels – Previous Week High/Low/Open/Close with extended dotted projections.
✅ SMA Threshold Zones – Dynamic SMA with gray zone filter and trend-based candle coloring.
✅ Multi-Timeframe Analysis – Auto-switching pivots & real-time confirmation.
✅ Smart Alerts – Pivot breakouts, ORB levels, HOLO crosses, and Weekly breaks.
🎯 Why Use Dizzy HOLO?
This indicator is built for breakout, reversal, and trend traders. It provides clear market structure, liquidity zones, and actionable alerts so you never miss important setups.
🛠️ Best Suited For:
Intraday scalpers
Swing traders
Breakout traders
HOLO strategy followers
Multi-timeframe traders
Continuation Index [DCAUT]█ Continuation Index
📊 OVERVIEW
Continuation Index (CI) is an advanced trend analysis indicator developed by John F. Ehlers. This indicator provides early warning signals for trend onset, continuation, and exhaustion, with values oscillating between -1 and +1 to offer clear trend state identification for traders.
Based on the article TASC 2025.09 "Trend Onset And Trend Exhaustion - The Continuation Index" by John F. Ehlers.
💡 CORE VALUE
Unlike traditional trend indicators, the Continuation Index provides:
- Advanced dual-filter architecture (Ultimate Smoother + Laguerre Filter)
- Inverse Fisher Transform for enhanced signal-to-noise ratio
- Adaptive gamma parameter allowing market-specific tuning
- Binary state output (+1/-1) eliminating interpretation ambiguity
🎯 CONCEPTS
Signal Interpretation
CI > 0.5 : Strong bullish trend continuation - consider holding/adding long positions
CI = +1 : Maximum bullish signal - strong uptrend in progress
CI < -0.5 : Strong bearish trend continuation - consider holding/adding short positions
CI = -1 : Maximum bearish signal - strong downtrend in progress
CI near 0 : Neutral zone - trend uncertain, wait for clear signals
Brief pullbacks from extreme states : Potential reentry opportunities in trend direction
Primary Applications
Trend Onset Detection : Early warning signals for trend initiation
Trend Exhaustion Signals : Identify potential trend reversals
Position Management : Clear binary states for entry/exit decisions
Market Timing : Adaptive filtering reduces false signals
📋 PARAMETER SETUP
Source : Data source for calculation (default: close)
Length : The calculation length for the filters (default: 40, min: 1)
Gamma : Controls the phase response of the Laguerre filter. Smaller values increase responsiveness (default: 0.8, range: 0.0-1.0)
Laguerre Order : The order of the Laguerre filter, which directly affects its lag (default: 8, range: 1-10)
📊 COLOR CODING
Green : CI > 0.5 - Bullish trend continuation
Red : CI < -0.5 - Bearish trend continuation
Gray : Neutral zone - Trend unclear
1H Open Level System-Lomeli indicatorsThis level system is a objective way of getting precise levels! Used by some of the trading goats
Long-short energy ratio /多空能量比值This indicator calculates the relative strength of bulls and bears by measuring the average candle body movement within a user-defined window (default: 50 bars).
Bull Energy = average percentage change of all bullish candles in the lookback period
Bear Energy = average percentage change of all bearish candles in the lookback period
Energy Ratio = Bull Energy ÷ Bear Energy
The ratio is plotted as a curve around the baseline of 1:
Ratio > 1 → Bull side shows stronger momentum
Ratio < 1 → Bear side shows stronger momentum
Ratio ≈ 1 → Balanced market conditions
This tool helps visualize short-term shifts in buying and selling pressure, offering a simple mean-reversion perspective or a confirmation of trend strength depending on the context.
Diamond-Triangle Strategy - Dynamic Trailing v2This had an adaptive exit strategy added with diamond entries not working well
Elite Entries Range Setter Premium
Elite Entries Range Setter
**What it is**
Elite Entries Range Setter builds a simple but sturdy market map: a predictive range on a higher timeframe, mid-levels between those lines, and **filtered breakout signals** plus **auto-drawn support/resistance zones** (with optional retest tags). It’s designed for day traders who want structure without noise—and swing traders who like to anchor to a higher-timeframe heartbeat.
What it gives you
* **Predictive range grid** (R2 / R1 / AVG / S1 / S2) computed from your chosen TF with adaptive ATR logic.
* **MTF signal engine**: breakouts are detected on your selected *Signal TF* while ranges come from the range TF—clean separation of “map” vs “trigger.”
* **Mid-lines** between range levels for bounce/continuation context (visual only here).
* **Auto Zones**: when price crosses a key line (range or mid), a shaded support/resistance box is created. Zones extend until broken; they dim when invalidated.
* **Optional Retests**: label when price re-tests a fresh zone and rejects/holds (cooldowns included).
* **Stacked Filters**: RSI, Volume EMA, and MA direction—use one, some, or all to tighten signals.
* **Session awareness**: choose to limit signals/zone creation to New York hours.
* **Alerts**: one consolidated breakout alert + dedicated zone-retest alerts.
---
How to use (the 60-second setup)
1. **Pick your Range TF** (default 15m). This sets the “grid” (R2/R1/AVG/S1/S2).
2. **Choose your Signal TF** (can be same as chart or different). This is where breakouts are confirmed.
3. **Turn on filters** to taste:
* **RSI** for momentum extremes (OB/OS configurable)
* **Volume EMA** for participation (Above/Below)
* **MA direction** for trend alignment (EMA/SMA/HMA, configurable length)
4. **Zones**: leave enabled to auto-box supports/resistances when lines are crossed. Adjust size by **Ticks** or **ATR ×** for instrument sensitivity.
5. **Alerts**: add “**Grid Breakout (Filtered)**” for trade triggers, and “Zone Bullish/Bearish Retest” if you trade pullbacks.
---
Inputs that matter
* **Range Setter**
* *ATR Length / Factor*: controls how wide the predictive range breathes.
* *Timeframe*: TF used to compute the grid (e.g., 15m).
* *Candlestick Type*: Traditional or Heikin-Ashi source.
* **Filter Options**
* *RSI*: Period + OB/OS thresholds.
* *Volume EMA*: Period + Above/Below condition.
* *MA Filter*: EMA/SMA/HMA + length; must be above (long bias) or below (short bias).
* **Trading Grid**
* *Signal TF*: where breakouts are detected.
* *Use MTF Signals*: toggle to confirm on a different TF than your chart.
* *Session Filter (NY)*: gate signals to the cash session.
* **Zones**
* *Only Create During NY Session*: keep structures “day-true.”
* *Size Mode*: **Ticks** (precise) or **ATR ×** (adaptive).
* *Retests*: on/off, min bars between retests, label size, colors.
* *Avoid Dupes at Same Level*: keeps the chart tidy.
---
Signals & Alerts
* **Breakout UP / DN**: confirmed cross of a mid or range line **and** all active filters pass.
* *Create alert:* **Grid Breakout (Filtered)**
* **Zone Retests**: optional labels/alerts when price wicks into a fresh zone and closes back out in the expected direction.
* *Create alerts:* **Zone Bullish Retest**, **Zone Bearish Retest**
*Pro tip:* Because the range grid comes from a (possibly) higher TF and signals can be confirmed on a different TF, you avoid most LTF chop while still reacting quickly.
---
Good habits (a trader’s creed)
* **Trust, but verify.** Filters help, not save. Read the tape: wicks, spreads, and time-of-day matter.
* **Let sessions speak.** NY hours tend to carry the volume; gating to session can reduce false pops.
* **Adjust zone size to the instrument.** Use ATR × on volatile tickers/futures; use Ticks for clean FX/Index contracts.
* **Mind the load.** If you enable many zones on very low TFs, consider trimming history or increasing tick size for performance.
---
Repainting & behavior notes
* Range levels are computed with `request.security(..., lookahead=off)` and only update as the higher-timeframe bar evolves/finishes.
* Breakout checks also use `lookahead=off`. Signals confirm on the **close** of the chosen *Signal TF*.
* Zone creation happens on **confirmed bars** to reduce flicker.
* No backtest or strategy orders—this is an **indicator** for discretionary or rule-based trading with external execution.
---
Who it’s for
Day traders who want **clear structure + filtered triggers**. Swing traders who anchor to a higher-TF grid but demand timely confirmation. Anyone tired of random “buy/sell” confetti and ready for a **map, a method, and a mute button** for the noise.
---
Final word
Markets are poetry and math—this tool sketches the meter so you can hear the rhyme. Keep risk first, keep faith in your process, and let disciplined edges do the talking. ✨
*Educational use only. Not financial advice. Trade responsibly.*
GME Cycle PredictorTitle: GME Cycle Predictor
Short Title: GME Cycle
Author:
Version: Pine Script @version=6
Published: September 25, 2025
Category: Cycle Analysis, Technical Analysis
Asset Focus: GameStop (GME) OverviewThe "GME Cycle Predictor" is a specialized cycle analysis tool designed for GameStop (GME) traders, identifying key cyclical patterns and confluence points that may signal significant price movements. Built on Pine Script @version=6, this indicator leverages historical reference points, volume, momentum, and Fibonacci levels to highlight critical cycle events, including 147-day quarterly cycles, 1704-day major cycles, T+35 FTD (Failure-to-Deliver) cycles, quarterly OPEX dates, and swap roll periods. The script provides a clean, visually intuitive interface with minimal clutter, using bright neon shapes, subtle background highlights, dynamic support/resistance levels, and a comprehensive information table to guide trading decisions. It is tailored for GME enthusiasts looking to capitalize on recurring market patterns tied to the stock’s unique history, such as the January 28, 2021 squeeze and Roaring Kitty’s return in June 2024.Key FeaturesCycle Detection:147-Day Quarterly Cycle: Marks every 147 days from the January 28, 2021 squeeze, indicating potential volatility periods.
1704-Day Major Cycle: Identifies long-term cycles starting from the 2021 squeeze, signaling rare but significant events.
T+35 FTD Cycles: Highlights 35-day Failure-to-Deliver settlement cycles, often associated with short squeeze pressure.
Quarterly OPEX Dates: Flags the 15th of March, June, September, and December for options expiration impacts.
Swap Roll Periods: Marks the last day of each quarter (March 30, June 30, September 30, December 31) for potential market maker activity.
Confluence Detection:Major Confluence: Combines 147-day cycles or OPEX dates with high volume (1.5x 20-day SMA) and RSI > 50 for strong bullish signals.
Super Confluence: Triggers when 1704-day and 147-day cycles align with high volume, indicating rare high-impact events.
Dynamic Support/Resistance:Plots 147-day cycle highs and lows as dynamic support/resistance levels.
Includes a 61.8% Fibonacci retracement level between cycle highs and lows for key price targets.
Visual Elements:Neon Shapes: Uses distinct, bright shapes for cycle events (no text labels):Red Circle (147-Day Cycle)
Yellow Diamond (1704-Day Major Cycle)
Orange Triangle (Quarterly OPEX)
Green Square (T+35 FTD Cycle)
Purple X (Swap Roll)
Rocket () for 1704-day hits
Target () for January 28 anniversary
Cat () for Roaring Kitty’s June 2, 2024 return
Background Highlights: Subtle red (super confluence) and yellow (major confluence) background colors to mark high-probability events.
Support/Resistance Lines: Red (147-day high), lime (147-day low), and blue (61.8% Fibonacci) lines with transparency for clarity.
Information Table:Displays a clean, 11-row table in the top-right corner with a legend and status:Legend: Explains each shape and its corresponding cycle/event.
Status: Shows days since the January 28, 2021 squeeze, days until the next 1704-day and 147-day cycles (with red text for imminent events, ≤10 and ≤5 days, respectively).
Updates dynamically to avoid redundancy and ensure accuracy.
Alerts:Configurable alerts for 147-day cycle hits, 1704-day cycle hits, and super confluence events, enabling timely notifications for traders.
How It WorksHistorical Reference: Anchors cycles to the January 28, 2021 GME squeeze (timestamp("2021-01-28 00:00")) and Roaring Kitty’s return on June 2, 2024 (timestamp("2024-06-02 00:00")).
Cycle Calculations: Uses days_since_squeeze to compute modulo-based cycles (147-day, 1704-day, 35-day) and specific dates for OPEX and swap rolls.
Confluence Signals: Combines cycle events with volume (1.5x 20-day SMA) and RSI (>50) for major confluence, and adds 1704-day alignment for super confluence.
Visuals: Plots small, neon-colored shapes (circles, diamonds, triangles, squares, X’s) without text to minimize clutter, with subtle background highlights and dynamic support/resistance lines.
Table: Provides a legend for shapes and real-time status updates on cycle proximity.
Alerts: Triggers notifications for key cycle events to support active trading strategies.
Usage InstructionsApply to Chart:Add the indicator to a GME chart (e.g., daily timeframe recommended) in TradingView.
Ensure sufficient chart history (back to January 2021) for accurate cycle calculations.
Interpret Signals:Buy Opportunities:Look for red circles (147-day cycle), yellow diamonds (1704-day cycle), or orange triangles (OPEX) with yellow background (major confluence) or red background (super confluence).
Confirm with high volume and RSI > 50 in the table or chart.
The 61.8% Fibonacci level (blue) and 147-day low (lime) act as potential support for entries.
Sell Opportunities:Monitor for cycle peaks (e.g., 147-day high in red) or lack of confluence signals.
Use purple X’s (swap rolls) as potential exit points for volatility spikes.
Avoid Trading:No shapes or background colors indicate low-probability setups.
Use the Table:Check the table’s “Days Since 1/28/21” to track cycle progress.
Note “Next 1704-Day” and “Next 147-Day” counts; red text (≤10 or ≤5 days) signals upcoming events.
Use the legend to identify shape meanings.
Set Alerts:Configure alerts for “147-Day Cycle Alert”, “1704-Day Major Cycle Alert”, or “Super Confluence Alert” to receive notifications on key events.
Input SettingsShow All Cycle Predictions: Toggle all cycle markers (default: true).
Show 147-Day Quarterly Cycle: Toggle red circles for 147-day cycles (default: true).
Show 1704-Day Major Cycle: Toggle yellow diamonds for 1704-day cycles (default: true).
Show FTD T+35 Cycles: Toggle green squares for 35-day FTD cycles (default: true).
Show Swap Roll Dates: Toggle purple X’s for swap roll periods (default: true).
Example Table Output
LEGEND & STATUS |
🔴 Red Circle | 147-Day Cycle
🟡 Yellow Diamond | 1704-Day MAJOR
🟢 Green Square | T+35 FTD
🟠 Orange Triangle | Quarterly OPEX
🟣 Purple X | Swap Roll
🚀 Rocket | 1704 Hit!
🎯 Target | Jan 28 Anniv
Days Since 1/28/21 | 1357
Next 1704-Day | 347 days
Next 147-Day | 12 days
Why Use This Indicator?GME-Specific: Tailored for GME’s unique market dynamics, referencing the 2021 squeeze and 2024 events.
Clean Visuals: Uses bright neon shapes and minimal labels to reduce chart clutter while highlighting key cycles.
Actionable Insights: Combines cycle analysis with volume, momentum, and Fibonacci levels for high-probability setups.
Dynamic Table: Provides real-time cycle status and a clear legend for easy interpretation.
Customizable: Toggle specific cycles and adjust visuals to suit your trading style.
Notes for TradersBest Timeframe: Daily chart for accurate cycle alignment, though intraday (e.g., 1h) can work for short-term confirmation.
Risk Management: Use confluence signals (yellow/red backgrounds) and support levels (lime, blue) for entries; monitor swap rolls and cycle peaks for exits.
Limitations: Cycles are based on historical patterns and may not guarantee future performance. Combine with other indicators (e.g., RSI, volume) for confirmation.
Testing: Backtest on GME’s historical data (2021–2025) to validate cycle accuracy, especially around January 28 anniversaries and June 2024 events.
Publication NotesTags: GME, Cycle Analysis, GameStop, Short Squeeze, Technical Analysis, FTD Cycles, OPEX, Swap Rolls
Chart Example: Include a GME daily chart screenshot showing neon shapes, background highlights, support/resistance lines, and the table. Highlight a super confluence event (red background) or a 147-day cycle hit (red circle).
Community Contribution: Encourage feedback from GME traders to refine cycle lengths or add new reference points.
Disclaimer: Emphasize that this is for educational purposes, not financial advice. Past cycles do not guarantee future results.
Yasser Multiple Inside Bar Breakout SignalsDescription
Yasser Multiple Inside Bar Breakout Signals (Yasser_MIB) is a powerful TradingView indicator designed to detect high-probability breakout setups based on multiple inside bar (MIB) formations. Inside bar breakouts often precede strong market moves, making this tool ideal for traders who rely on price action, volatility compression, and breakout trading strategies.
🔑 Key Features:
✅ Automatic MIB Detection – Identifies and counts consecutive inside bars.
✅ Breakout Signals – Generates BUY/SELL signals upon valid breakout of the mother bar.
✅ Custom Risk:Reward Settings – Adjustable risk-to-reward ratio with built-in Stop Loss (SL) and Take Profit (TP) levels.
✅ ATR-based Stop Loss (Optional) – Dynamic volatility-based risk management.
✅ Trend Filter – Optional EMA filter to trade only in the trend direction.
✅ Visual Clarity – Mother bar levels, inside bar marks, entry/SL/TP lines, and breakout highlights.
✅ Alerts Ready – Receive instant alerts for MIB setups and breakouts.
This indicator is suitable for Forex, Stocks, Indices, Commodities, and Crypto markets across multiple timeframes. Whether you are a trend trader or a breakout trader, Yasser_MIB provides a structured approach to capture explosive market moves with disciplined risk management.
📂 Categories
Indicators
Technical Analysis
Price Action
Breakout Strategies
Risk Management
🏷 Tags
inside bar
multiple inside bar
MIB breakout
price action
mother bar
breakout strategy
trend filter
EMA filter
ATR stop loss
risk reward
forex trading
crypto trading
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Yasser indicators
RS GEE Candle Highlighter (vs SPY/QQQ) • 5mRS Candle Highlighter (vs SPY/QQQ) – 5m
This indicator highlights candles where a stock shows relative strength outperforming a benchmark index (SPY or QQQ).
Strong candles are colored.
Works in real time on the 5-minute chart.
Helps identify stocks that are outperforming the market.
👉 Ideal for day trading, scalping, and relative performance analysis.
Kalman Ema Crosses - [JTCAPITAL]Kalman EMA Crosses - is a modified way to use Kalman Filters applied on Exponential Moving Averages (EMA Crosses) for Trend-Following.
The Kalman filter is a recursive smoothing algorithm that reduces noise from raw price or indicator data, and in this script it is applied both directly to price and on top of EMA calculations. The goal is to create cleaner, more reliable crossover signals between two EMAs that are less prone to false triggers caused by volatility or market noise.
The indicator works by calculating in the following steps:
Source Selection
The script starts by selecting the price input (default is Close, but can be adjusted). This chosen source is the foundation for all further smoothing and EMA calculations.
Kalman Filtering on Price
Depending on user settings, the selected source is passed through one of two independent Kalman filters. The filter takes into account process noise (representing expected market randomness) and measurement noise (representing uncertainty in the price data). The Kalman filter outputs a smoothed version of price that minimizes noise and preserves underlying trend structure.
EMA Calculation
Two exponential moving averages (EMA 1 and EMA 2) are then computed on the Kalman-smoothed price. The lengths of these EMAs are fully customizable (default 15 and 25).
Kalman Filtering on EMA Values
Instead of directly using raw EMA curves, the script applies a second layer of Kalman filtering to the EMA values themselves. This step significantly reduces whipsaw behavior, creating smoother crossovers that emphasize real momentum shifts rather than temporary volatility spikes.
Trend Detection via EMA Crossovers
-A bullish trend is detected when EMA 1 (fast) crosses above EMA 2 (slow).
-A bearish trend is detected when EMA 1 crosses below EMA 2.
The detected trend state is stored and used to dynamically color the plots.
Visual Representation
Both EMAs are plotted on the chart. Their colors shift to blue during bullish phases and purple during bearish phases. The area between the two EMAs is filled with a shaded region to clearly highlight trending conditions.
Buy and Sell Conditions :
- Buy Condition : When the Kalman-smoothed EMA 1 crosses above the Kalman-smoothed EMA 2, a bullish crossover is confirmed.
- Sell Condition : When EMA 1 crosses below EMA 2, a bearish crossover is confirmed.
Users may enhance the robustness of these signals by adjusting process noise, measurement noise, or EMA lengths. Lower measurement noise values make the filter react faster (but potentially noisier), while higher values make it smoother (but slower).
Features and Parameters :
- Source : Selectable price input (Close, Open, High, Low, etc.).
- EMA 1 Length : Defines the fast EMA period.
- EMA 2 Length : Defines the slow EMA period.
- Process Noise : Controls how much randomness the Kalman filter assumes in price dynamics.
- Measurement Noise : Controls how much uncertainty is assumed in raw input data.
- Kalman Usage : Option to apply Kalman filtering either before EMA calculation (on price) or after (on EMA values).
Specifications :
Kalman Filter
The Kalman filter is an optimal recursive algorithm that estimates the state of a system from noisy measurements. In trading, it is used to smooth prices or indicator values. By balancing process noise (expected volatility) with measurement noise (data uncertainty), it generates a smoothed signal that reacts adaptively to market conditions.
Exponential Moving Average (EMA)
An EMA is a weighted moving average that emphasizes recent data more heavily than older data. This makes it more responsive than a simple moving average (SMA). EMAs are widely used to identify trends and momentum shifts.
EMA Crossovers
The crossing of a fast EMA above a slow EMA suggests bullish momentum, while the opposite suggests bearish momentum. This is a cornerstone technique in trend-following systems.
Dual Kalman Filtering
Applying Kalman both to raw price and to the EMAs themselves reduces whipsaws further. It creates crossover signals that are not only smoothed but also validated across two levels of noise reduction. This significantly enhances signal reliability compared to traditional EMA crossovers.
Process Noise
Represents the filter’s assumption about how much the underlying market can randomly change between steps. Higher values make the filter adapt faster to sudden changes, while lower values make it more stable.
Measurement Noise
Represents uncertainty in price data. A higher measurement noise value means the filter trusts the model more than the observed data, leading to smoother results. A lower value makes the filter more reactive to observed price fluctuations.
Trend Coloring & Fill
The use of dynamic colors and filled regions provides immediate visual recognition of trend states, helping traders act faster and with greater clarity.
Enjoy!
TEWMA Supertrend - [JTCAPITAL]TEWMA Supertrend - is a modified way to use Triple Exponential Weighted Moving Average (TEWMA) combined with ATR-based Supertrend logic for Trend-Following.
The idea behind this indicator is to merge the smoothness and responsiveness of TEWMA with the robustness of ATR-based Supertrend volatility filtering. This results in a tool that not only reacts quickly to price changes but also adapts to market volatility, providing reliable trend detection with reduced noise.
The indicator works by calculating in the following steps:
Source Selection
The user can select the price source (default is Close). This price series is the foundation of all calculations, and changing the source allows the indicator to adapt to different analytical perspectives, such as Open, High, Low, or HL2.
TEWMA Calculation
The script calculates a Weighted Moving Average (WMA) of the selected source, and then applies a Triple Exponential Moving Average (TEMA) smoothing on top of it. The result is what we call TEWMA. This hybrid method achieves two goals simultaneously:
-WMA adds sensitivity by giving more weight to recent data.
-TEMA reduces lag by combining multiple EMA calculations while keeping smoothness.
ATR Volatility Measurement
In parallel, the Average True Range (ATR) is calculated over the user-defined Supertrend length . ATR measures volatility and dynamically scales the upper and lower bands to adjust to different market conditions.
Upper and Lower Band Construction
The indicator builds two envelopes around the TEWMA:
- Upper Band = TEWMA + (Multiplier × ATR)
- Lower Band = TEWMA – (Multiplier × ATR)
These bands expand and contract depending on volatility, creating a dynamic channel.
Band Adjustment Logic
To prevent false flips, the current upper/lower band values are compared to their previous values. If price has not broken above or below the prior band, the bands “stick” to their previous values, thereby filtering noise and avoiding unnecessary trend changes.
Trend Detection
-If price closes above the adjusted upper band, the direction is bullish.
-If price closes below the adjusted lower band, the direction is bearish.
-Otherwise, the trend direction continues from its prior state.
The Trend line is then set to either the upper band (bearish) or lower band (bullish).
Visual Representation
-The TEWMA line itself is plotted and color-coded (blue for bullish, purple for bearish).
-The active Supertrend line is plotted depending on trend direction.
-Shaded regions are added around the lines for enhanced clarity, visually separating bullish and bearish phases.
Buy and Sell Conditions :
- Buy Signal : Triggered when price closes above the Supertrend line, confirming a bullish shift.
- Sell Signal : Triggered when price closes below the Supertrend line, confirming a bearish shift.
Features and Parameters :
- TEWMA Source – Select the input price (Close, Open, High, Low, etc.).
- TEWMA Length – Defines the lookback for the Weighted MA and subsequent TEMA smoothing.
- Supertrend Length – Defines the ATR period used for volatility measurement.
- Multiplier – Determines how far the Supertrend bands are placed from the TEWMA. Higher values mean wider bands and fewer trend flips, while lower values mean tighter bands and more frequent signals.
Specifications :
Weighted Moving Average (WMA)
The WMA gives more importance to recent price points while still considering past values. This makes it more responsive to recent moves than a Simple Moving Average (SMA).
Triple Exponential Moving Average (TEMA)
TEMA reduces lag by combining multiple layers of EMA calculations. Unlike a simple EMA, which can be slow to react, TEMA anticipates changes faster, while still maintaining smoothness to avoid false signals.
TEWMA (TEMA of WMA)
By applying TEMA on top of WMA, we create a hybrid smoothing technique. This retains the responsiveness of WMA but reduces its lag via TEMA’s structure. The result is a highly adaptive moving average, ideal for fast trend detection.
Average True Range (ATR)
ATR measures the degree of volatility by looking at the full trading range of each candle. It ensures that the Supertrend bands expand in volatile markets and contract in calm markets, keeping signals relevant to current conditions.
Supertrend Bands
The upper and lower envelopes built around TEWMA act as dynamic support and resistance. Their adaptive nature reduces false trend shifts during choppy sideways markets.
Band Adjustment Logic
Instead of recalculating bands every candle, the script uses a memory mechanism (previous values) to prevent unnecessary trend switches. This stabilizes the indicator and avoids excessive noise.
Trend Line
The final output is a line that follows price in trending phases while holding steady during consolidations. Its placement above or below price clearly signals bullish or bearish market structure.
Color Coding and Visuals
The use of shaded fills and line coloring enhances readability. Traders can quickly distinguish trend direction and momentum without deep numerical analysis.
Enjoy!
Quantura - Quantified Price Action StrategyIntroduction
“Quantura – Quantified Price Action Strategy” is an invite-only Pine Script strategy designed to combine multiple price action concepts into a single trading framework. It integrates supply and demand zones, liquidity sweeps and runs, fair value gaps (FVGs), RSI filters, and EMA trend confirmation. The strategy also provides a visual overlay with dynamic trend-colored candles for easier chart interpretation. It is intended for multi-market use across cryptocurrencies, Forex, equities, and indices.
Originality & Value
The strategy is original in how it unifies several institutional-style price action elements and validates trades only when they align. This reduces noise compared to using single indicators in isolation. Its unique value lies in the combination of:
Supply & Demand detection: Dynamic boxes identified through pivots, ATR, and volume sensitivity.
Liquidity sweeps and runs: Detects when swing highs/lows are broken and retested, distinguishing between liquidity grabs (sweeps) and directional runs.
RSI filter: Can be set to normal or aggressive, confirming momentum before trades.
Fair Value Gaps (FVGs): Optional detection and filtering of price inefficiencies.
EMA filter: Aligns trades with the broader market trend.
Trend candle visualization: Candles dynamically colored bullish, bearish, or neutral, based on strategy positions.
This layered confluence approach ensures that entries are not taken on a single condition but require agreement across several dimensions of market structure, momentum, and order flow.
Functionality & Indicators
Supply & Demand Zones: Zones are created when pivots, ATR sensitivity, and volume thresholds overlap.
Liquidity: Swing highs and lows are tracked, with options for sweep (fakeout/reversal) or run (continuation) detection.
RSI: Confirms long signals when oversold and shorts when overbought, with configurable aggressiveness.
FVG filter: Adds validation by requiring price interaction with inefficiency zones.
EMA filter: Ensures longs are above EMA and shorts below EMA.
Signals & Visualization: Trade entries are marked on the chart, while candles change color to reflect trade direction and status.
Parameters & Customization
Supply & Demand: Sensitivity (swing range, volume multiplier, ATR multiplier) and display options.
Liquidity filter: Mode (Run or Sweep), display, and swing length.
RSI: Enable/disable, length, and style (normal or aggressive).
Fair Value Gaps: Sensitivity via ATR factor, optional volume filter, and display toggles.
EMA: Length, enable/disable, and visualization.
Risk management: Up to three configurable take-profit levels, stop-loss, break-even logic, and capital-based position sizing.
Visualization: Custom candle coloring and optional overlay for better clarity.
Default Properties (Strategy Settings)
Initial Capital: 10,000 USD
Position Size: 100% of equity per trade (backtest default)
Commission: 0.1%
Slippage: 1
Pyramiding: 0 (only one position at a time)
Note: The default of 100% equity per trade is used for testing purposes only and would not be sustainable in real trading. A typical allocation in practice would be between 1–5% of account equity per trade, sometimes up to 10%.
Backtesting & Performance
Backtests on XPTUSD over 2.5 years with the default settings produced:
129 trades
73.64% win rate
Profit factor: 2.6
Maximum drawdown: 18.2%
These results show how the confluence of supply/demand, liquidity, and RSI filters can produce robust setups. However, past performance does not guarantee future results. While the trade count (129) is sufficient for statistical analysis, results may vary across markets and timeframes.
Risk Management
Three configurable take-profit levels with percentage allocation.
Initial stop-loss based on user-defined percentage.
Dynamic stop-loss that adjusts with market movement.
Break-even logic that shifts stops to entry after predefined gains.
Position sizing based on risk percentage of equity.
This framework allows both conservative and aggressive configurations, depending on user preference.
Limitations & Market Conditions
Works best in volatile and liquid markets such as crypto, metals, indices, and FX.
May produce false signals in low-volume or sideways environments.
Unexpected news or macro events can override technical conditions.
Default position sizing of 100% equity is highly aggressive and should be reduced before any practical use.
Usage Guide
Add “Quantura – Quantified Price Action Strategy” to your chart.
Select Supply & Demand, Liquidity, RSI, EMA, and FVG settings according to your market and timeframe.
Configure risk management: take-profits, stop-loss, and risk-per-trade percentage.
Use the Strategy Tester to analyze statistics, equity curve, and performance under different conditions.
Optimize parameters before applying the strategy to different markets.
Author & Access
Developed 100% by Quantura. Published as an Invite-Only script. Access is available upon request via the Author’s Instructions field.
Important
This description complies with TradingView’s publishing rules. It clarifies originality, explains the underlying logic, discloses default properties, and presents backtest results with realistic disclaimers.
