Al-Bayan Pro [Visual Overlay] Beta Tester
Description:
Concept & Methodology Albayan Pro is a specialized mean-reversion system designed to clarify market noise and identify high-probability reversal points. Unlike standard indicators that merely lag behind price, Albayan Pro utilizes a dynamic central baseline—the Albayan Line—to determine the asset's "fair value" in real-time.
The strategy is built on the principle that price inevitably returns to its established equilibrium after identifying exhaustion points:
The Albayan Line: A volatility-adaptive baseline that anchors the trend.
Signal Logic:
Buy (Reversal): Generated when price deviates significantly below the Albayan Line (oversold zone), signaling that selling pressure has likely peaked.
Sell (Reversal): Generated when price extends significantly above the Albayan Line (overbought zone), indicating a potential pullback.
How to Use Albayan Pro This tool is optimized for the timeframe on .
Entry: Wait for the specific "Rev Buy" or "Rev Sell" labels. These signals often trigger during volatility spikes; ensure the candle closes to confirm the signal validity.
Risk Management: As this is a reversion strategy, stops should be placed below the recent swing low (for buys) or above the swing high (for sells).
Exit: The primary target is a return to the Albayan Line, capturing the "snap back" move.
Backtest Performance (Internal Data) Based on our analysis of Gold (XAUUSD) price action:
Buy Signals demonstrated high reliability, with an ~81% win rate over a 2–4 hour holding period in recent testing.
Sell Signals function best as quick scalps or exit warnings for existing long positions.
Originality Albayan Pro does not rely on standard RSI or Bollinger Band calculations. It uses a unique, absolute-distance calculation from the proprietary Albayan Line to filter false signals, ensuring you only see alerts when statistical deviation is significant.
Indicatori e strategie
SuperLazyTradeSuperLazyTrade transforms SuperTrend into a professional day-trading system with intelligent quality filtering.
Instead of showing every signal, it rates each setup on a 100-point scale analyzing:
- Signal Freshness - Catch moves early
- Volume Strength - Confirm momentum
- VWAP Alignment - Trade with institutions
- Volatility Regime - Optimal market conditions
- RSI Confirmation - Momentum validation
The system blocks 35-40% of low-quality signals automatically, enforcing discipline with clear verdicts:
✅ JUMP (80+) - Best setups
⚡ TRADE (65-79) - Strong entries
⚠️ CAUTION (55-64) - Proceed carefully
🟡 TREND (45-54) - Mid-trend opportunities
🔴 AVOID (0-44) - Skip it
Features live P&L tracking, professional 11-row dashboard, and anti-repainting architecture. Perfect for traders who value quality over quantity.
⚠️ DISCLAIMER
This indicator does not guarantee profits. Trading involves substantial risk of loss. Past performance is not indicative of future results. Use at your own risk.
CISD Trend Candle + MACD SignalThis custom TradingView indicator combines trend-based candle coloring with MACD reversal detection to generate clear entry and exit signals:
🔷 Blue triangle (Buy): Appears when the candles confirm an uptrend (e.g., 5 consecutive closes above 21 EMA) and no long position is currently held.
🔴 Red triangle (Sell): Appears when the candles confirm a downtrend (e.g., 5 consecutive closes below 21 EMA) and no short position is currently held.
⚪ Gray triangle (Exit):
If in a long position, it shows when the candle turns neutral (gray) and the MACD crosses down (bearish signal), or the trend turns red.
If in a short position, it shows when the candle turns neutral and the MACD crosses up (bullish signal), or the trend turns blue.
🟠 Orange line: 21-period EMA used for trend validation.
This logic prevents premature entries and provides structured exit points, aiming to avoid false signals in choppy markets.
Footprint Imbalance Reversal ZonesThe script detects blowouts and displays buy and sell volume as levels.
Green lines = bullish zones (potential support / buying pressure)
Red lines = bearish zones (potential resistance / selling pressure)
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Trade ideas:
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Price approaching a green zone → potential bounce/support.
Price approaching a red zone → potential rejection/resistance.
Combine with other indicators or price action for confirmation.
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Configuration
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Inputs:
Imbalance Threshold (%) → higher = only very strong imbalances trigger zones
Bars to form cluster → number of consecutive imbalance bars needed
Zone Extend Bars → how far each zone line extends into the future
Minimum bar volume → ignore low-volume bars for cleaner zones
Use tick-rule volume estimate → leave true if no real bid/ask data
Max saved zones → max number of zones stored (oldest removed if exceeded)
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Tips
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Best used on intraday or short-term charts where volume imbalances are meaningful.
Adjust Minimum bar volume to filter out low-volume noise.
Combine with candlestick patterns, RSI, or moving averages for higher-probability trades.
For long-term charts, consider increasing Bars to form cluster to capture stronger levels.
Combine with price action, candlestick patterns, or other indicators for better trade signals.
FXG Elite Signals | FXG v2.0.8.candlecloseReversal Zone Trading With Scalp , Intraday and Swing setups
Cerber Strategy ETH/BTC Cerber Strategy: High-Precision Crypto Trend Follower
The Cerber Strategy is a low-frequency, high-conviction trend following system designed to capture massive quarterly crypto moves while
filtering out 90% of consolidation noise. It combines a momentum-based "Sniper Entry" (entering only on verified breakouts) with a
"Trend Confirmation" filter (Weekly DEMA) to ensure capital is only deployed during macro bull runs.
Usage:
* Timeframe: Daily (1D) mandatory.
* Assets: Optimized for BTC and ETH, works on high-volatility alts.
* Style: Position Trading (holding for weeks/months).
* Risk: Extremely high efficiency (high Profit Factor), very low drawdown compared to Buy & Hold. Perfect for a "Set and Forget"
portfolio allocation.
CODEX OB + BBMA V1CODEX OB + BBMA is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals.
In addition to SMC tools, this indicator also incorporates multi-timeframe BBMA logic, allowing traders to view higher-timeframe momentum, trend direction, and volatility envelopes directly from the current chart. This makes it easier to align SMC setups—like OB, FVG, and BOS—with BBMA structure such as MA touches, re-entry zones, extreme candles, and volatility expansions.
This combination helps traders identify institutional footprints, multi-timeframe confluence, and displacement-based setups with high clarity.
King OscillatorKing Oscillator is a streamlined, non-overlay indicator designed to capture bullish momentum and bear-pressure via:
A normalized Heikin-Ashi-based tradeable trend filter
A fast-reacting custom MA variant
EMA oscillators, each scaled for cross-timeframe consistency
A bear-pressure line (blend of intrabar and group-range bears)
Combined Volume Flow and Price vs. VWAP oscillators
Bollinger Bands Forecast [QuantAlgo]🟢 Overview
Bollinger Bands are widely recognized for mapping volatility boundaries around price action, but they inherently lag behind market movement since they calculate based on completed bars. The Bollinger Bands Forecast addresses this limitation by adding a predictive layer that attempts to project where the upper band, lower band, and basis line might position in the future. The indicator provides three unique analytical models for generating these projections: one examines swing structure and breakout patterns, another integrates volume flow and accumulation metrics, while the third applies statistical trend fitting. Traders can select whichever methodology aligns with their market view or trading style to gain visibility into potential future volatility zones that could inform position planning, risk management, and timing decisions across various asset classes and timeframes.
🟢 How It Works
The core calculation begins with traditional Bollinger Bands: a moving average basis line (configurable as SMA, EMA, SMMA/RMA, WMA, or VWMA) with upper and lower bands positioned at a specified number of standard deviations away. The forecasting extension works by first generating predicted price values for upcoming bars using the selected method. These projected prices then feed into a rolling calculation that simulates how the basis line would update bar by bar, respecting the mathematical properties of the chosen moving average type. As each new forecasted price enters the calculation window, the oldest historical price drops out, mimicking the natural progression of the moving average. The system recalculates standard deviation across this evolving price window and applies the multiplier to determine where upper and lower bands would theoretically sit. This process repeats for each of the forecasted bars, creating a connected chain of potential future band positions that render as dashed lines on the chart.
🟢 Key Features
1. Market Structure Model
This forecasting approach interprets price through the lens of swing analysis and structural patterns. The algorithm identifies pivot highs and lows across a definable lookback window, then tracks whether price is forming higher highs and higher lows (bullish structure) or lower highs and lower lows (bearish structure). The system looks for break of structure (BOS) when price pushes beyond a previous swing point in the trending direction, or change of character (CHoCH) when price starts creating opposing swing patterns.
When projecting future prices, the model considers current distance from recent swing levels and the strength of the established trend (measured by counting higher highs versus lower lows). If bullish structure dominates and price sits near a swing low, the forecast biases upward. Conversely, bearish structure near a swing high produces downward bias. ATR scaling ensures the projection magnitude relates to actual market volatility.
Practical Implications for Traders:
Useful when you trade based on swing points and structural breaks
The Structure Influence slider (0 to 1) lets you dial in how much weight structure analysis carries versus pure trend
Helps visualize where bands could form around key structural levels you're watching
Works better in trending conditions where structure patterns are clearer
Might be less effective in choppy, sideways markets without defined swings
2. Volume-Weighted Model
This method attempts to incorporate volume flow into the price forecast. It combines three volume-based metrics: On-Balance Volume (OBV) to track cumulative buying/selling pressure, the Accumulation/Distribution Line to measure money flow, and volume-weighted price changes to emphasize moves that occur on high volume. The algorithm calculates the slope of these indicators to determine if volume is confirming price direction or diverging from it.
Volume spikes above a configurable threshold are flagged as potentially significant, with the direction of the spike (whether it occurred on an up bar or down bar) influencing the forecast. When OBV, A/D Line, and volume momentum all align in the same direction, the model projects stronger moves. When they conflict or show weak volume support, the forecast becomes more conservative.
Practical Implications for Traders:
Relevant if you use volume analysis to confirm price moves
More meaningful in markets with reliable volume data
The Volume Influence parameter (0 to 1) controls how much volume factors into the projection
Volume Spike Threshold adjusts sensitivity to what constitutes unusual volume
Helps spot scenarios where volume doesn't support a move, suggesting possible consolidation
Might be less effective in low-liquidity instruments or markets where volume reporting is unreliable
3. Linear Regression Model
The simplest of the three methods, linear regression fits a straight line through recent price data using least-squares mathematics and extends that line forward. This creates a clean trend projection without conditional logic or interpretation of market characteristics. The forecast simply asks: if the recent trend continues at its current rate of change, where would price be in 10 or 20 bars?
Practical Implications for traders:
Provides a neutral, mathematical baseline for comparison
Works well when trends are steady and consistent
Can be useful for backtesting since results are deterministic
Requires minimal configuration beyond lookback period
Might not adapt to changing market conditions as dynamically as the other methods
Best suited for trending markets rather than ranging or volatile conditions
🟢 Universal Applications Across All Models
Regardless of which forecasting method you select, the indicator projects future Bollinger Band positions that may help with:
▶ Pre-planning entries and exits: See where potential support (lower band) or resistance (upper band) might develop before price gets there
▶ Volatility context: Observe whether forecasted bands are widening (suggesting potential volatility expansion) or narrowing (possible compression or squeeze setup)
▶ Target setting: Reference projected band levels when determining profit targets or stop placement
▶ Mean reversion scenarios: Visualize potential paths back toward the basis line when price extends to a band extreme
▶ Breakout anticipation: Consider where upper or lower bands might sit if price begins a strong directional move
▶ Strategy development: Build trading rules around forecasted band interactions, such as entering when price is projected to return to the basis or exit when forecasts show band expansion
▶ Method comparison: Switch between the three forecasting models to see if they agree or diverge, potentially using consensus as a confidence filter
It's critical to understand that these forecasts are projections based on recent market behavior. Markets are complex systems influenced by countless factors that cannot be captured in a technical calculation or predicted perfectly. The forecasted bands represent one possible scenario of how volatility might unfold, so actual price action may still diverge from these projections. Past performance and historical patterns provide no assurance of future results. Use these forecasts as one input within a broader trading framework that includes proper risk management, position sizing, and multiple forms of analysis. The value lies not in prediction accuracy but in helping you think probabilistically about potential market states and plan accordingly.
Session H/L (Lumiere)This is the 2.0 version of ''Trading session High/Low''
Previous Day High & Low (PDH / PDL)
The script now draws:
PDH = previous day’s high
PDL = previous day’s low
They:
Are based on the daily timeframe (not your chart timeframe).
Look the same and sit in the same place on all timeframes.
Have their own color, width, and style in:
“Previous Day Levels” settings.
Clean PDH/PDL text instead of labels.
You can show/hide this text with: “Show PDH/PDL Text”
PDH/PDL also get dotted when swept.
Timezone handling is now flexible & DST-aware
Instead of a fixed "Etc/GMT+4" (which breaks during summer/winter time changes),
you now have a dropdown.
CODEX OB V1CODEX OB V1 is a multi-purpose Smart Money Concepts (SMC) indicator that automatically detects and visualizes key institutional trading elements such as Order Blocks, Fair Value Gaps, Rejection Blocks, Break of Structure, Pivots, High Volume Bars, and several qualitative SMC signals.
This tool helps traders identify institutional footprints and displacement-based setups with high clarity.
Order Block Finder [MHA Finverse]Order Block Finder is a sophisticated Smart Money Concepts (SMC) tool designed to identify and visualize institutional order blocks on your charts. This indicator helps traders spot key areas where smart money has placed their orders, providing valuable insights for potential support and resistance zones.
What are Order Blocks?
Order blocks are price zones where institutional traders have placed significant orders. This indicator identifies these zones by detecting pivot points in price action and tracking structural breaks in both internal (short-term) and swing (long-term) timeframes.
Key Features:
• Dual Structure Analysis
- Internal Order Blocks: Fast-moving blocks based on 5-bar pivots for short-term trading
- Swing Order Blocks: Slower blocks based on 50-bar pivots for position trading
- Display up to 20 order blocks per type
• Volume Metrics
Each order block displays two important metrics:
- Volume value: The total volume of the candle that formed the order block
- Percentage: Relative volume compared to all visible order blocks (always totals 100%)
Higher percentages indicate stronger institutional activity and more significant zones
• Smart Filtering System
- ATR Filter: Filters out high-volatility candles (>2x ATR) to focus on genuine order blocks
- CMR Filter: Uses Cumulative Mean Range for adaptive filtering across different market conditions
• Flexible Mitigation Options
Choose how order blocks are considered broken:
- High/Low: Order block breaks when price touches its boundary
- Close: Order block breaks only when candle closes through it
• Visual Customization
- Colored or Monochrome themes
- Adjustable text size for volume metrics
- Customizable colors for bullish and bearish blocks
- Historical or Present mode for clean chart analysis
• Built-in Alert System
- Real-time alerts when order blocks are mitigated
- Individual toggles for each alert type
- Clear emoji indicators (🔵 Bullish, 🔴 Bearish)
- Compatible with TradingView's alert system
How It Works:
The indicator identifies order blocks by:
1. Detecting pivot highs and lows in price structure
2. Monitoring when price crosses these pivots (structure breaks)
3. Finding the highest/lowest volatility-filtered candle in the pivot zone
4. Marking this candle as an order block with its volume data
5. Removing blocks when the price mitigates them
Order blocks with higher volume percentages represent stronger institutional interest and are typically more reliable for trading decisions.
Best Practices:
- Use Internal OBs for day trading and scalping
- Use Swing OBs for swing trading and position entries
- Pay attention to blocks with higher volume percentages
- Combine with other SMC concepts for confirmation
Perfect for traders who follow Smart Money Concepts, ICT methodology, and institutional trading analysis.
Disclaimer:
This indicator is provided for educational and informational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial advisor before making any trading decisions. The creator of this indicator assumes no responsibility for any losses incurred from its use.
RiskyInvesting Algo v1.0.0 FREEA multi‑layer trend‑following and momentum‑confirmation system designed around dual adaptive baselines, Heikin‑Ashi structure, and smart candle‑strength filtering. This strategy blends volatility‑based trailing logic with macro trend bias tools (EMA + SMMA) to identify clean directional flips and filter out weak signals.
This model uses 5 parameters, while the Pro uses 9 parameters. For more info, follow me on Twitter/X
Disclaimer:
- You must use the Heikin-Ashi candle type for this indicator.
- Please use this in conjunction with your trading system. Labels are not meant to be used as financial advice.
Core features include:
- Heikin‑Ashi Transformation: Smooths price action for more reliable trend identification.
- Two Adaptive Trailing Baselines: ATR‑adjusted equations (Parameter 1 & 2) that flip direction based on baseline breaks.
- Directional Shift Detection: Buy signals on bullish dual‑baseline flip; sell signals on bearish dual‑baseline flip.
- Trend Bias Filtering: Uses EMA vs SMMA relationship to color signals and provide market bias context.
- Candle Strength Filter: Ensures signals only trigger on meaningful momentum candles relative to ATR.
- Clean Visual Display: Auto‑coloring buy/sell labels, baseline plots, and signal triangles.
🟩 = Full Position
🟦 = Half Position
🟥 = Full Position
🟧 = Half Position
Built for traders who want a structured trend‑flip system that avoids noise, highlights strong directional moments, and maintains visual clarity even on volatile intraday charts.
Ichimoku + VWAP + OBV + ATR Full System (NQ Daytrade)This script provides optimized scalping signals for BTC, designed mainly for the 15-minute timeframe.
Long/short entries are generated using VWAP band position and trend confirmation logic.
OBV momentum is used as a secondary filter to validate breakout or reversal conditions.
Exit signals are displayed when volatility compression or mean-reversion conditions occur.
Simple visual markers (triangles and circles) are included for easy decision-making.
롱/숏 삼각형 시그널
동그라미 청산 시그널
VWAP 밴드 기반 방향성
OBV 보조지표
이름 (Name)
BTC Scalping Signal – VWAP + OBV
짧은 설명 (Short Description)
VWAP 밴드와 OBV를 기반으로 방향성, 진입·청산 시그널을 제공하는 스캘핑 지표입니다.
긴 설명 (Long Description)
이 지표는 BTC 단기 스캘핑을 위해 설계된 것으로, 특히 15분봉 환경에 최적화되어 있습니다.
VWAP 밴드의 위치와 추세 판별 로직을 기반으로 롱·숏 진입 신호를 제공합니다.
OBV 모멘텀을 보조 필터로 사용하여 돌파 및 되돌림 가능성을 판단합니다.
시장 변동성이 축소되거나 평균회귀 신호가 감지될 때 청산 시그널을 표시합니다.
삼각형(진입), 원형(청산) 등 직관적 시각 요소를 통해 빠른 의사결정을 지원합니다.
Kalkulator pozycji XAUUSD PLN, 1:500, 1100 to 100 kontaPosition calculator based on the number of pips that you quickly enter from the tool, this device will select the appropriate lot for you and you can quickly take a position
BTC Regime Oscillator (MC + Spread) [1D]ONLY SUPPOSED TO BE USED FOR BTC PERPS, AND SPOT LEVERAGING:
This is a risk oscillator that measures whether Bitcoin’s price is supported by real capital or is running ahead of it, and converts that into a simple risk-regime oscillator.
It's built with market cap, and FDV, and Z-scores compressed to -100 <-> 100
I created this indicator because I got tired of FOMO Twitter and Wall Street games.
DO NOT USE THIS AS A BEGIN-ALL-AND-END-ALL. YOU NEED TO USE THIS AS A CONFIRMATION INDICATOR, AND ON HTF ONLY (1D>) IF YOU USE THIS ON LOWER TIMEFRAMES, YOU ARE FEEDING YOUR MONEY TO A LOW-LIFE DING BAT ON WALL STREET. HERE IS HOW IT WORKS:
This indicator is Split up by
A) Market Cap
--> Represents real money in BTC
--> Ownership capital
--> If MC is rising, money is entering BTC
B) FDV (Fully Diluted Valuation)
--> For BTC: price(21M) (21,000,000)
--> Represents the theoretical valuation
--> Since BTC really has a fixed cap, FDV mostly tracks the price
C) Oscillators
Both MC and FDV are:
--> Logged (to handle scale)
--> Normalized (Z-score)
--> Compressed to -100 <-> 100
HERE ARE THREE THINGS YOU ARE GOING TO SEE ON THE CHART
A) The market cap oscillator (MC OSC)
--> Normalized trend of real capital
RISING: Indicates capital inflow
FALLING: Indicates capital outflow
B) FDV Oscillator
--> Normalized trend of valuation pressure
ABOVE MC: Price is ahead of capital
BELOW MC: Capital is keeping up
!!!! FDV IS CONTEXT NOT SIGNALS !!!!
C) Spread = (FDV - MC)
--> The difference between valuation and capital
(THIS IS THE CORE SIGNAL)
NEGATIVE: Capital is gonna lead price
NEAR 0: Balanced
POSITIVE: Price leads capital
(THIS MEANS STRESS FOR BTC, NOT DILLUTION!)
WHAT DOES -60, 0, 60 MEAN?:
--> These are meant to serve as risk zones, not buy/sell dynamics; this is not the same as an RSI oscillator.
A) 0 level
--> Price and capital are balanced
--> No structural stress
(TRADE WITH NORMAL POSITION SIZE, AND NORMAL EXPECTATIONS)
B) Below -60 (Supportive/Compressed)
--> BTC is relatively cheap to recent history
--> Capital supports price well
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Press trends
--> Use higher ATRs
--> Pullbacks are better here
C) Above 60 (Overextension, or fragile)
--> BTC is expensive relative to recent history
--> Price is ahead of capital
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Reduce leverage, use smaller ATR
--> Use lower ATRs, TP faster
--> Do not chase breakouts
--> Expect volatility and whipsaws
"Can I press trades right now? Or do I need to hog my capital?"
CONDITIONS:
Spread Less than 0 and below -60 = Press trades
Spread near 0 = Normal trading conditions
Spread is Greater than 0 or above 60+ = Capital protection
RSI Multi-Timeframe TableHow the RSI Multi-Timeframe Table Indicator Works
This indicator displays a table showing the RSI (14) from multiple timeframes at the same time.
It helps you quickly see whether the RSI is in overbought or oversold zones across different periods (1m, 5m, 15m, 30m, 1h, 4h, and 1D).
Below is a clear explanation of how each part works:
1) Timeframes Used
The indicator analyzes the RSI from the following timeframes:
1 minute (1m)
5 minutes (5m)
15 minutes (15m)
30 minutes (30m)
1 hour (1h)
4 hours (4h)
1 day (1D)
Each row of the table represents one of these timeframes.
2) How the RSI Is Retrieved
For each timeframe, the script uses the request.security() function to fetch the RSI(14) value from that specific timeframe, even if your current chart is set to a different one.
Example: On a 1h chart, you can still see the RSI from 1m, 5m, 30m, etc.
3) Table Structure
The table appears in the top-right corner and contains 8 columns:
TF – shows the timeframe name
RSI – shows the RSI value with two decimal places
10 – marks if RSI is ≤ 10
20 – marks if RSI is ≤ 20
30 – marks if RSI is ≤ 30
70 – marks if RSI is ≥ 70
80 – marks if RSI is ≥ 80
90 – marks if RSI is ≥ 90
The extreme levels (10, 20, 80, 90) help identify possible reversal zones.
4) Markings in the Table
When a condition is true, a ● circle appears in the corresponding cell.
Examples:
If the 5m RSI is ≤ 20, a circle appears in the 20 column for the 5m row.
If the 1H RSI is ≥ 80, a circle appears in the 80 column for the 1H row.
Colors also help interpretation:
Red for strong oversold levels (≤10)
Orange and yellow for intermediate levels
Green, teal, and blue for overbought levels
5) Alerts
The indicator includes four built-in alerts:
RSI ≤ 10
RSI ≤ 20
RSI ≥ 80
RSI ≥ 90
These alerts use the RSI from the current chart timeframe.
To enable them:
Open Alerts in TradingView
Click Create Alert
Select the indicator
Choose the alert you want
Confirm
6) Purpose of This Indicator
It is useful for:
Quickly checking market strength across multiple timeframes
Identifying when several periods are overbought or oversold
Avoiding trades against market momentum
Helping confirm potential reversal points
Summary
This indicator creates a table that shows RSI values from multiple timeframes and visually highlights overbought or oversold conditions in each one.
It also includes ready-to-use alerts for the most extreme RSI levels.
Hybrid Trend | Auto-Adaptive | MTF | + Signal🔥 Hybrid Trend — Auto-Adaptive MTF Trend System + Smart Signals
Hybrid Trend is a fast, lightweight, and adaptive trend-tracking system that combines MTF SuperTrend structure with MA-based shift signals to deliver clean, reliable entries for both scalpers and trend traders.
🚀 Key Features
Multi-Timeframe SuperTrend Engine for stable directional bias
Hybrid MA Slope Signals filtered by higher-timeframe trend
Precise Bull/Bear reversal markers
Ideal for scalping, intraday, and trend continuation setups
Clean visuals, minimal lag, high adaptability in volatile markets
🎯 Best For
Scalpers • Day Traders • Algorithmic Traders • Trend Followers
© Copyright & Author
Author: Nariman Pourtalaei
Powered by: Real Company Bio Information Helpline Directory
Brand: RCO TradingHelpline
Website: trading.rco.ae
Regime EngineRegime Engine
Overview
Regime Engine is a market regime detection system that classifies price action into bullish, bearish, or neutral states using weighted exponential moving average analysis. Once the regime is identified, the indicator generates buy and sell signals based on Donchian channel breakouts, filtered by ADX trend strength and RSI momentum conditions.
The Money Line
The core of regime detection is the Money Line, a weighted combination of two exponential moving averages. By default, the short EMA (8 periods) receives 60% weight while the long EMA (24 periods) receives 40% weight. This weighting allows the Money Line to be more responsive than a simple long-period average while remaining smoother than a short-period average alone.
The Money Line changes color based on the current regime: green for bullish, red for bearish, and yellow for neutral. This provides immediate visual feedback about the market state.
Regime Classification
The indicator determines market regime by comparing the relative positions of the short and long EMAs while also considering RSI levels to avoid classifying overbought or oversold conditions as trend states.
Bullish regime is identified when the short EMA is above the long EMA and RSI is not in overbought territory. This combination suggests upward momentum that is not yet exhausted.
Bearish regime is identified when the short EMA is below the long EMA and RSI is not in oversold territory. This indicates downward momentum with room to continue.
Neutral regime applies when the EMAs are close together or RSI conditions prevent trend classification. The indicator provides two optional methods for enhanced neutral detection.
Neutral Zone Detection
Markets often transition through periods where trend direction is unclear. The indicator offers two complementary methods for detecting these neutral zones.
The slope method examines the rate of change of the Money Line relative to ATR. When the Money Line is moving slowly (slope below a tolerance threshold), the market is classified as neutral regardless of EMA positioning.
The EMA distance method calculates the percentage distance between the short and long EMAs. When they are within a specified percentage of each other, the EMAs are considered too close to reliably indicate direction.
Either or both methods can be enabled, and if either triggers, the regime is classified as neutral.
Donchian Channel Signals
Buy and sell signals are generated when price interacts with the Donchian channel boundaries. The Donchian channel plots the highest high and lowest low over a lookback period (default 20 bars), offset by one bar to prevent repainting.
Buy signals trigger when price touches or breaks below the lower Donchian band, indicating a potential support level. Sell signals trigger when price touches or breaks above the upper Donchian band, indicating potential resistance.
An optional setting requires the close to confirm the break rather than just the wick, providing more conservative signal generation.
ADX Trend Strength Filter
The Average Directional Index filters signals to ensure they occur during trending conditions. When enabled, signals only fire if ADX exceeds the threshold (default 24), confirming that the market has sufficient directional momentum for breakout trades to succeed.
The indicator uses Wilder's original smoothing method for ADX calculation, providing the traditional interpretation of trend strength values.
RSI Momentum Filter
RSI provides additional signal filtering to ensure entries occur at favorable momentum levels. Buy signals require RSI to be at or below the oversold threshold (default 30), indicating potential exhaustion of selling pressure. Sell signals require RSI to be at or above the overbought threshold (default 70), suggesting exhaustion of buying pressure.
These filters can be disabled for traders who prefer unfiltered Donchian breakout signals.
BBWP Volatility Monitoring
Bollinger Band Width Percentile measures current volatility relative to its historical range. The indicator calculates BB width and ranks it against the specified lookback period (default 252 bars, approximately one trading year).
BBWP above 70% indicates elevated volatility, which may signal trend acceleration or potential reversals. BBWP below 30% indicates compressed volatility, often preceding significant moves. The information panel displays the current BBWP reading with color coding to highlight these conditions.
Signal Cooldown
To prevent signal clustering during extended breakout periods, a configurable cooldown prevents new signals of the same type for a specified number of bars after each signal. This ensures each signal represents a distinct trading opportunity.
Visual Components
The Donchian channel can display shaded bands between the upper and lower boundaries. The shading color reflects the current regime: green for bullish, magenta for bearish, and blue for neutral. This provides at-a-glance context for where price is trading within its recent range.
An ADX strength bar at the bottom of the chart uses color coding: white for weak trend (ADX below 15), orange for ranging (ADX 15-24), and blue for trending (ADX above 24). This matches the trend strength display in the information panel.
Price labels appear at signal locations showing the signal type and entry price. Labels are automatically cleaned up after reaching a configurable history limit to maintain chart performance.
Signal candles are highlighted in blue, making it easy to identify exactly which bars generated signals when reviewing historical performance.
Information Panel
A compact table displays key metrics: current regime bias, trend strength classification, BBWP volatility reading, RSI level, and ADX value. Each metric is color-coded to highlight favorable or unfavorable conditions.
The panel can be positioned at any corner or middle edge of the chart. An alternative label-based display anchored to the chart is also available for those who prefer that format.
Trend Persistence Option
By default, the regime is recalculated on every bar. An optional persistence mode changes this behavior so that the regime only changes on EMA crossovers. This reduces regime flipping during choppy conditions but may delay regime recognition during gradual trend changes.
How to Use
Monitor the Money Line color and information panel for current regime. In bullish regimes, focus on buy signals at the lower Donchian band as potential pullback entries. In bearish regimes, focus on sell signals at the upper band as potential short entries or exit points.
Use the ADX strength indicator to gauge signal reliability. Signals during trending conditions (blue ADX bar) have historically higher success rates than signals during ranging conditions (orange bar) or weak trends (white bar).
Watch BBWP for volatility context. Low BBWP readings suggest a significant move may be developing, while high readings indicate the current move may be overextended.
The combination of regime awareness, Donchian breakout signals, and ADX/RSI filtering provides a structured approach to identifying trading opportunities across different market conditions.
Settings Guidance
The default settings work well for cryptocurrency and forex markets on intraday timeframes. For stocks or longer timeframes, consider increasing the EMA periods and Donchian lookback. The ADX threshold can be adjusted based on the typical ADX range for the traded instrument.
The RSI filter levels can be relaxed (higher oversold, lower overbought) for more signals or tightened for higher-quality but less frequent signals. The cooldown period should be adjusted based on timeframe, with shorter timeframes typically requiring longer cooldown periods.
The Abramelin Protocol [MPL]"Any sufficiently advanced technology is indistinguishable from magic." — Arthur C. Clarke
🌑 SYSTEM OVERVIEW
The Abramelin Protocol is not a standard technical indicator; it is a "Technomantic" trading algorithm engineered to bridge the gap between 15th-century esoteric mathematics and modern high-frequency markets.
This script is the flagship implementation of the MPL (Magic Programming Language) project—an open-source experimental framework designed to compile metaphysical intent into executable Python and Pine Script algorithms.
Unlike traditional indicators that rely on arbitrary constants (like the 14-period RSI or 200 SMA), this protocol calculates its parameters using "Dynamic Entity Gematria." We utilize a custom Python backend to analyze the ASCII vibrational frequencies of specific metaphysical archetypes, reducing them via Tesla's 3-6-9 harmonic principles to derive market-responsive periods.
🧬 WHAT IS ?
MPL (Magic Programming Language) is a domain-specific language and research initiative created to explore Technomancy—the art of treating code as a spellbook and the market as a chaotic entity to be tamed.
By integrating the logic of ancient Grimoires (such as The Book of Abramelin) with modern Data Science, MPL aims to discover hidden correlations in price action that standard tools overlook.
🔗 CONNECT WITH THE PROJECT:
If you are a developer, a trader, or a seeker of hidden knowledge, examine the source code and join the order:
• 📂 Official Project Site: hakanovski.github.io
• 🐍 MPL Source Code (GitHub): github.com
• 👨💻 Developer Profile (LinkedIn): www.linkedin.com
🔢 THE ALGORITHM: 452 - 204 - 50
The inputs for this script are mathematically derived signatures of the intelligence governing the system:
1. THE PAIMON TREND (Gravity)
• Origin: Derived from the ASCII summation of the archetype PAIMON (King of Secret Knowledge).
• Function: This 452-period Baseline acts as the market's "Event Horizon." It represents the deep, structural direction of the asset.
• Price > Line: Bullish Domain.
• Price < Line: Bearish Void.
2. THE ASTAROTH SIGNAL (Trigger)
• Origin: Derived from the ASCII summation of ASTAROTH (Knower of Past & Future), reduced by Tesla’s 3rd Harmonic.
• Function: This is the active trigger line. It replaces standard moving averages with a precise, gematria-aligned trajectory.
3. THE VOLATILITY MATRIX (Scalp)
• Origin: Based on the 9th Harmonic reduction.
• Function: Creates a "Cloud" around the signal line to visualize market noise.
🛡️ THE MILON GATE (Matrix Filter)
Unique to this script is the "MILON Gate" toggle found in the settings.
• ☑️ Active (Default): The algorithm applies the logic of the MILON Magic Square. Signals are ONLY generated if Volume and Volatility align with the geometric structure of the move. This filters out ~80% of false signals (noise).
• ⬜ Inactive: The algorithm operates in "Raw Mode," showing every mathematical crossover without the volume filter.
⚠️ OPERATIONAL USAGE
• Timeframe: Optimized for 4H (The Builder) and Daily (The Architect) charts.
• Strategy: Use the Black/Grey Line (452) as your directional bias. Take entries only when the "EXECUTE" (Long) or "PURGE" (Short) sigils appear.
Use this tool wisely. Risk responsibly. Let the harmonics guide your entries.
— Hakan Yorganci
Technomancer & Full Stack Developer
Neural Fusion ProNeural Fusion Pro
Overview
Neural Fusion Pro is a multi-factor scoring system that combines numerous technical analysis methods into a single unified score. Rather than requiring traders to monitor multiple indicators separately, this system synthesizes trend strength, momentum oscillators, volume confirmation, price structure, and price action quality into one composite reading that adapts to current market conditions.
The Scoring System
At the heart of this indicator is a weighted scoring algorithm that produces a value between -1.0 and +1.0. Positive scores indicate bullish conditions across the measured factors, while negative scores suggest bearish conditions. The magnitude of the score reflects the strength of conviction across indicators.
The score is calculated from five distinct components, each capturing a different aspect of market behavior. Users can adjust the weight given to each component based on their trading style and market preferences.
Component 1: Trend Strength and Direction
This component uses the Average Directional Index to measure trend strength and the Directional Movement indicators to determine trend direction. When ADX exceeds the trending threshold, indicating a directional market, the component contributes a positive score if the positive directional indicator leads, or a negative score if the negative directional indicator leads. In ranging markets where ADX is low, this component contributes minimally to avoid false trend signals.
Component 2: Multi-Factor Momentum
Rather than relying on a single oscillator, this component synthesizes readings from RSI, MACD histogram, Stochastic, CCI, and Rate of Change. Each oscillator is normalized to a common scale and weighted according to its reliability characteristics. RSI readings are compared against dynamic thresholds that adjust based on trend state, making the indicator more forgiving in uptrends and more demanding in downtrends.
The component also includes divergence detection. When price makes a higher high but RSI makes a lower high (bearish divergence), or when price makes a lower low but RSI makes a higher low (bullish divergence), the divergence score adjusts the momentum component accordingly.
Component 3: Volume Confirmation
Volume provides crucial confirmation of price movements. This component analyzes On-Balance Volume relative to its moving average and measures the slope of OBV to determine whether volume is supporting the price trend. Additionally, it monitors relative volume by comparing current volume to its recent average, adding confirmation when volume spikes accompany price movements.
Component 4: Price Structure and Volatility
This component evaluates where price sits within the dynamic bands and considers the current volatility regime. When price is near the lower band, the component contributes a bullish score, suggesting potential support. When price is near the upper band, it contributes a bearish score, suggesting potential resistance.
The volatility regime assessment uses ATR percentile ranking. Low volatility periods often precede significant moves, while extremely high volatility may indicate unsustainable conditions.
Component 5: Price Action Quality
This component examines the character of recent candles by tracking the ratio of bullish to bearish candles over a lookback period. Consistent bullish price action contributes a positive score, while consistent bearish action contributes negatively. This helps filter signals by confirming that price behavior aligns with other factors.
Dynamic Bands
The indicator plots adaptive bands around a central basis line. The basis can be configured as either a simple or exponential moving average. Band width is determined by ATR multiplied by a dynamic factor that incorporates both ADX (expanding bands in trending markets) and the Chaikin Oscillator (expanding bands during strong accumulation or distribution).
These bands serve multiple purposes: they provide visual context for price position, they define signal trigger zones, and they help identify overextended conditions.
Trend State Detection
The indicator classifies market conditions into three states that affect signal generation and threshold levels.
Strong Uptrend is identified when ADX is rising, ADX exceeds the strong trend threshold, and the positive directional indicator exceeds the negative. This state triggers the most aggressive buy settings, allowing entries on shallow pullbacks.
Downtrend is identified when the negative directional indicator exceeds positive DI and ADX confirms directional movement. This state applies the most conservative buy settings, requiring deep oversold conditions before generating buy signals.
Neutral applies when neither trend condition is met, using moderate threshold settings appropriate for range-bound or transitional markets.
Dynamic RSI Thresholds
A key innovation is the automatic adjustment of RSI thresholds based on trend state. In a strong uptrend, the buy RSI threshold might be set to 50, allowing entries when RSI merely pulls back to neutral rather than requiring oversold conditions. The sell threshold rises to 72, keeping traders in positions longer during favorable conditions.
In downtrends, the buy RSI threshold drops to 25, ensuring buys only trigger on genuine capitulation. The sell threshold drops to 64, making exits easier to trigger.
In neutral markets, traditional oversold and overbought levels apply, with buy triggers around RSI 30 and sell triggers around RSI 68.
This adaptive approach prevents the common problem of indicators that work well in one market environment but fail in others.
Dynamic Cooldown
The signal cooldown period adjusts based on trend strength. During normal conditions, a standard cooldown prevents signal clustering. When ADX exceeds the strong trend threshold and is rising, indicating a powerful trend, the cooldown period extends. This helps traders stay in winning positions longer by reducing the frequency of counter-trend signals.
Cascade Protection
The indicator includes protection mechanisms to prevent overtrading and averaging down into losing positions.
The BBWP (Bollinger Band Width Percentile) monitor tracks current volatility relative to historical levels. When BBWP exceeds a threshold, indicating a volatility spike often associated with sharp moves, all buy signals are frozen. This protects against entering during panic selloffs or blow-off tops.
The consecutive buy counter tracks how many buy signals have occurred without an intervening sell. After reaching the maximum (default 3), no additional buy signals are generated until a sell occurs. This prevents the destructive pattern of repeatedly buying a declining asset.
Both protection mechanisms are displayed in the information panel, allowing traders to understand why signals may or may not be firing.
Signal Generation
Buy signals require price to touch or penetrate the lower band, RSI to be below the dynamic threshold, and the market to be in a trending state (when that filter is enabled). Additionally, the cooldown period must have elapsed and cascade protection must not be blocking buys.
Sell signals require price to touch or penetrate the upper band, RSI to be above the dynamic threshold, and the cooldown to have elapsed.
Signal labels display the entry price, signal type (shallow dip, capitulation, extended, bounce sell, or neutral), and the current position in the consecutive buy count.
Visual Components
The indicator provides multiple layers of visual feedback.
Cloud shading between the bands changes based on whether the composite score is in a buy zone or sell zone. Green clouds indicate bullish score readings, while red clouds indicate bearish readings.
Background coloring reflects the overall market regime. Green background indicates a bullish regime (positive DI leadership with volume confirmation), red indicates bearish regime, and white indicates neutral conditions.
An ADX bar at the bottom of the chart uses color coding: white for ranging (very low ADX), orange for flat, and blue for trending conditions.
The information panel displays the composite score with color coding, current trend state, active RSI thresholds, divergence status, BBWP freeze status, buy counter, market regime, ADX value with trend indicator, current cooldown setting, and live RSI reading color-coded against the active thresholds.
A debug panel can be enabled to show the individual component scores, helping users understand what is driving the composite reading.
How to Use
Monitor the composite score in the information panel. Readings above the buy threshold combined with price near the lower band represent potential long entries. Readings below the sell threshold with price near the upper band suggest exit opportunities.
Pay attention to the trend state. In strong uptrends, be more willing to buy dips and more patient with holding positions. In downtrends, require stronger confirmation before entering and be quicker to take profits on bounces.
Watch the cascade protection status. If BBWP shows frozen or the buy counter is approaching maximum, exercise additional caution regardless of other signals.
Use the dynamic RSI thresholds as context. When the panel shows buy RSI threshold at 50 (strong uptrend), even a pullback to RSI 45 is a potential entry. When the threshold shows 25 (downtrend), wait for genuine capitulation conditions.
Component Weight Adjustment
The relative importance of each scoring component can be adjusted through the settings. The default weights emphasize trend strength (30%) and momentum (25%), with volume (20%), price structure (15%), and price action (10%) providing confirmation.
For trend-following strategies, consider increasing trend and momentum weights. For mean-reversion approaches, increase the price structure weight to emphasize band position. The weights should sum to approximately 1.0 for proper score scaling.
Settings Guidance
The default settings are calibrated for cryptocurrency markets on lower timeframes. For traditional markets or longer timeframes, consider adjusting the ADX trending threshold (lower values for less volatile assets), the dynamic RSI levels for each trend state, and the cascade protection parameters.
The Heikin Ashi option for band calculation can provide smoother bands but may introduce slight lag. The default setting uses standard price data for better real-time accuracy.






















