KD Weekly Oversold Golden Cross (v6)KD Weekly Oversold Golden Cross (v6)
This is a screener for weekly KD indicator bullish crossovers at oversold levels, where the K value does not exceed 25.
المؤشرات والاستراتيجيات
Day Trading Signals Trend & Momentum Buy/Sell [CocoChoco]Day Trading Signals: Trend & Momentum Buy/Sell
Overview
The indicator is a comprehensive day-trading tool designed to identify high-probability entries by aligning short-term momentum with long-term trend confluence.
It filters out low-volatility "choppy" markets using ADX and ensures you are always trading in the direction of the dominant higher-timeframe trend.
Important: Use on timeframes from 15 min to 2 hours, as the indicator is for day trading only.
How It Works
The script uses a three-layer confirmation system:
Trend Alignment: Uses a Fast/Slow SMA cross (10/50) on the current chart. Signal prints only if price closes above (for bullish) or below (for bearish) the 10-period SMA.
Higher Timeframe Confluence: The script automatically looks at a higher timeframe (1H for charts <=15m, and 4H for others) and checks if the price is above/below a 200-period SMA.
Momentum & Volatility: Signals are only triggered if the Stochastic Oscillator is rising/falling and the ADX is above 20, ensuring there is enough "strength" behind the move.
Visual Signals Buy/Sell
Green Label (Up Arrow): Bullish entry signal
Red Label (Down Arrow): Bearish entry signal.
Red "X": Exit signal based on a moving average crossover (trend exhaustion).
Visual Risk/Reward (1:1) Boxes: When a signal appears, the script automatically draws a projection of your Stop Loss (Red) and Take Profit (Green) based on the current ATR (Average True Range).
How to Use
Entry: Enter when a Label appears. Ensure the candle has closed to confirm the signal.
Stop Loss/Take Profit: Use the visual boxes as a guide. The default is 1.0 ATR for risk and 1.0 RR ratio, which can be adjusted in the settings.
Exit: Exit the trade either at the target boxes or when the Red "X" appears, indicating the trend has shifted.
Please note that this is just a tool, not financial advice. Perform your own analysis before entering a trade.
fmfm12 chosen chart timeframe. It monitors the price to determine:
Whether resistance has been broken → BUY signal
Or support has been broken → SELL signal
After a breakout or breakdown, the indicator automatically draws price targets (T1 / T2 / T3) as percentages from the breakout point, and also displays FVG (Fair Value Gaps) zones that indicate imbalances between supply and demand.
⚙️ Main Components
Support and Resistance Levels (Key Levels)
Automatically calculated from the 4-hour timeframe (180 minutes).
Draws lines:
Green = Resistance
Red = Support
Option to display a midline (blue).
Line style (solid / dashed / dotted), thickness, and label size are customizable.
Trading Signals (Signals)
When resistance is broken upward → BUY signal (green).
When support is broken downward → SELL signal (red).
Signal size is adjustable (small / large, etc.).
Price Targets (Targets)
After confirming a breakout or breakdown, the indicator draws:
T1 / T2 / T3 as horizontal lines in the breakout direction.
Target percentages are adjustable (default: 0.5%, 1%, 1.5%).
Different colors for bullish and bearish targets.
Fair Value Gaps (FVG)
Detects bullish and bearish gaps within a set number of candles (default: 10).
Draws transparent colored zones:
Light Green = Bullish Gap
Light Red = Bearish Gap
📊 Practical Usage
Add the indicator to TradingView (paste the code into the Pine Editor, save, and add it to the chart).
When the price approaches a support or resistance line, observe:
Delta Reaction Zones [BOSWaves]Delta Reaction Zones - Cumulative Delta-Based Supply and Demand Identification with Flow-Weighted Zone Construction
Overview
Delta Reaction Zones is a volume flow-aware supply and demand detection system that identifies price levels where significant buying or selling pressure accumulated, constructing adaptive zones around cumulative delta extremes with intelligent flow composition analysis.
Instead of relying on traditional price-based support and resistance or fixed pivot structures, zone placement, thickness, and directional characterization are determined through delta accumulation patterns, volatility-adaptive sizing, and the proportional composition of positive versus negative volume flow.
This creates dynamic reaction boundaries that reflect actual order flow imbalances rather than arbitrary price levels - contracting during low volatility environments, expanding during elevated volatility periods, and incorporating flow composition statistics to reveal whether zones formed under buying or selling dominance.
Price is therefore evaluated relative to zones anchored at delta extremes rather than conventional technical levels.
Conceptual Framework
Delta Reaction Zones is founded on the principle that meaningful support and resistance emerge where cumulative volume flow reaches local extremes rather than where price alone forms patterns.
Traditional support and resistance methods identify turning points through price structure, which often ignores the underlying order flow dynamics that drive those reversals. This framework replaces price-centric logic with delta-driven zone construction informed by actual buying and selling pressure.
Three core principles guide the design:
Zone placement should correspond to cumulative delta extremes, not price pivots alone.
Zone thickness must adapt to current market volatility conditions.
Flow composition context reveals whether zones formed under accumulation or distribution.
This shifts supply and demand analysis from static price levels into adaptive, flow-anchored reaction boundaries.
Theoretical Foundation
The indicator combines delta proxy methodology, cumulative volume tracking, adaptive volatility measurement, and flow decomposition analysis.
A signed volume delta proxy estimates directional order flow on each bar, which accumulates into a running cumulative delta series. Pivot detection identifies local extremes in either cumulative delta or its rate of change, marking levels where flow momentum reached inflection points. Average True Range (ATR) provides volatility-responsive zone sizing, while impulse window analysis decomposes recent flow into positive and negative components with percentage weighting.
Four internal systems operate in tandem:
Delta Accumulation Engine : Computes smoothed signed volume and maintains cumulative delta tracking for directional flow measurement.
Pivot Detection System : Identifies significant turning points in cumulative delta or delta rate of change to anchor zone placement.
Adaptive Zone Construction : Scales zone thickness dynamically using ATR-based volatility measurement around pivot anchors.
Flow Composition Analysis : Calculates positive and negative flow percentages over a configurable impulse window to characterize zone formation context.
This design allows zones to reflect actual order flow behavior rather than reacting mechanically to price formations.
How It Works
Delta Reaction Zones evaluates price through a sequence of flow-aware processes:
Signed Volume Delta Calculation : Each bar's volume is directionally signed based on close-open relationship, creating a proxy for buying versus selling pressure.
Cumulative Delta Tracking : Signed volume accumulates into a running total, revealing sustained directional flow over time.
Pivot Identification : Local highs and lows in cumulative delta (or its rate of change) mark significant flow inflection points where zones anchor.
Volatility-Adaptive Sizing : ATR multiplier determines zone half-width, automatically adjusting thickness to current market conditions.
Flow Decomposition : Positive and negative volume components are separated and percentage-weighted over the impulse window to reveal dominant flow direction.
Intelligent Zone Merging : Overlapping zones of the same type automatically merge into broader reaction areas, with flow statistics blended proportionally.
Dynamic Extension and Visualization : Zones extend forward with gradient-filled composition segments showing buy versus sell flow proportions.
Breach Detection and Cleanup : Zones invalidate automatically when price closes beyond their boundaries, maintaining chart clarity.
Together, these elements form a continuously updating supply and demand framework anchored in order flow reality.
Interpretation
Delta Reaction Zones should be interpreted as flow-anchored supply and demand boundaries:
Support Zones (Green) : Form at cumulative delta lows, marking levels where selling exhaustion or buying accumulation occurred.
Resistance Zones (Red) : Establish at cumulative delta highs, identifying areas where buying exhaustion or selling distribution dominated.
Flow Composition Segments : Visual gradient within each zone reveals the buy/sell flow proportion during zone formation. The upper segment (red tint) represents negative (selling) flow percentage while the lower segment (green tint) represents positive (buying) flow percentage.
BUY FLOW / SELL FLOW / MIXED Labels : Indicate dominant flow character when one direction exceeds 60% of total impulse window activity.
Net Delta Statistics : Display cumulative flow totals (Δ) alongside percentage breakdowns for immediate context.
Zone Thickness : Reflects current volatility environment - wider zones in volatile conditions, tighter zones in calm markets.
Zone Merging : Multiple nearby pivots consolidate into broader reaction areas, weighted by their respective flow magnitudes.
Flow composition, volatility context, and delta magnitude outweigh isolated price reactions.
Signal Logic & Visual Cues
Delta Reaction Zones presents two primary interaction signals:
Support Reclaim (RC) : Green label appears when price crosses back above a support zone's midline after trading below it, suggesting renewed buying interest.
Resistance Re-enter (RE) : Red label displays when price crosses back below a resistance zone's midline after trading above it, indicating resumed selling pressure.
Alert generation covers zone creation and midline reclaim/re-entry events for systematic monitoring.
Strategy Integration
Delta Reaction Zones fits within order flow-informed and supply/demand trading approaches:
Flow-Anchored Entry Zones : Use zones as high-probability reaction areas where historical order flow imbalances occurred.
Composition-Based Bias : Favor trades aligning with dominant flow character - long setups near zones formed under buying dominance, short setups near selling-dominated zones.
Volatility-Aware Targeting : Expect wider reaction ranges when ATR expands zones, tighter ranges when ATR contracts them.
Merge-Informed Conviction : Broader merged zones represent multiple flow inflection points, potentially offering stronger support/resistance.
Midline Reclaim Validation : Use RC/RE signals as confirmation of zone respect rather than standalone entry triggers.
Multi-Timeframe Flow Context : Apply higher-timeframe delta zones to inform lower-timeframe entry precision.
Technical Implementation Details
Core Engine : Signed volume delta proxy with EMA smoothing
Accumulation Model : Persistent cumulative delta tracking with optional rate-of-change pivot detection
Zone Construction : ATR-scaled thickness around pivot anchors
Flow Analysis : Positive/negative decomposition over configurable impulse window
Visualization : Gradient-filled zones with embedded flow statistics and percentage segments
Signal Logic : Midline crossover detection with breach-based invalidation
Merge System : Proximity-based consolidation with weighted flow blending
Performance Profile : Optimized for real-time execution with configurable zone limits
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure flow zones for scalping and short-term reversals
15 - 60 min : Intraday supply/demand identification with flow context
4H - Daily : Swing-level reaction zones with macro flow characterization
Suggested Baseline Configuration:
Delta Smoothing Length : 3
Pivot Length : 12
Pivot Source : Cumulative Delta
Impulse Window : 100
ATR Length : 14
ATR Multiplier : 0.35 (reduce for lower timeframes)
Maximum Zones : 8
Merge Overlapping Zones : Enabled
Merge Gap : 20 ticks
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volume profile, tick structure, and preferred zone density, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Zones appearing oversized : Reduce ATR Multiplier to tighten zone thickness, especially on lower timeframes.
Excessive zone clutter : Increase Pivot Length to demand stronger delta extremes before zone creation.
Unstable delta readings : Increase Delta Smoothing Length to reduce bar-to-bar noise in flow calculation.
Missing significant levels : Decrease Pivot Length or switch Pivot Source to "Cumulative Delta RoC" for flow acceleration sensitivity.
Flow percentages feel stale : Reduce Impulse Window Length to emphasize more recent buying/selling composition.
Too many merged zones : Decrease Merge Gap (ticks) or disable merging to preserve individual pivot zones.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with consistent volume and order flow characteristics
Instruments where delta proxy correlates well with actual tape reading
Mean-reversion strategies targeting flow exhaustion zones
Trend continuation entries at zones aligned with dominant flow direction
Reduced Effectiveness:
Extremely low volume environments where delta proxy becomes unreliable
News-driven or gapped markets with discontinuous flow
Highly manipulated or illiquid instruments with erratic volume patterns
Integration Guidelines
Confluence : Combine with BOSWaves structure, market profile, or traditional supply/demand analysis
Flow Respect : Trust zones formed with strong net delta magnitude and clear flow dominance
Context Awareness : Consider whether current market regime matches zone formation conditions
Merge Recognition : Treat merged zones as higher-conviction areas due to multiple flow inflections
Breach Discipline : Exit zone-based setups cleanly when price invalidates boundaries
Disclaimer
Delta Reaction Zones is a professional-grade order flow and supply/demand analysis tool. It uses a volume-based delta proxy that estimates directional pressure but does not access true order book data. Results depend on market conditions, volume reliability, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volatility context, and comprehensive risk management.
Brahmastra AI by Trading LearnerBrahmastra AI V6.1 is a powerful AI-driven Smart Money trading indicator built to decode institutional footprints, liquidity behavior, market structure, and momentum shifts with precision.
Designed for intraday, swing, and positional traders, Brahmastra blends Smart Money Concepts (SMC), institutional zone intelligence, and adaptive AI logic to help traders identify high-probability entries, exits, reversals, and trend continuations with confidence and discipline.
🔥 Core Features
- Institutional Zones
AI-detected zones highlighting institutional buying & selling footprints (high-probability supply–demand areas).
- Epicenter Points
High-impact price levels with maximum institutional order concentration.
- Sheshnag Ji (Dynamic WMA)
Adaptive weighted moving average acting as dynamic support & resistance.
- Smart Money Concepts (SMC)
Includes:
Order Blocks
Break of Structure (BOS)
Change of Character (CHOCH)
AI Market Structure (HH / HL)
Automatic detection of HH, HL, LH, LL for real-time structure clarity.
⚡ Zones, Liquidity & Fair Value
Rudra Prime Zones – ADR-based static zones for Daily / Weekly / Monthly bias
Equal Highs & Equal Lows – Liquidity pools & stop-hunt targets
Har Ki Podi – AI equilibrium zones (premium–discount balance)
AI Fibonacci Point Zones – Probability-backed retracement & reaction areas
🚀 Momentum & Candle Intelligence
GSLV Momentum Candles – Internal candle strength & momentum shifts
Chor Candle – Price–volume mismatch detection (fake moves & traps)
Buying / Selling Retrace Alerts – AI-predicted high-probability retracements
⭐ V6.1 Enhancements
CPR (Central Pivot Range) – Intraday bias, balance, breakout & reversal zones
Universal SNG Lines – Smart adaptive dynamic support & resistance
Liquidity Zones – Stacked liquidity regions for sweeps & institutional traps
⚠️ This indicator is a decision-support tool, not a buy/sell guarantee. Always apply proper risk management.
🔹 HOW TO USE Brahmastra AI
1️⃣ Identify Trend & Bias
Use Market Structure (HH/HL)
Confirm with Sheshnag Ji & CPR
2️⃣ Mark Institutional Zones
Focus on Institutional Zones, Rudra Prime Zones, and Epicenter Points
3️⃣ Wait for Liquidity Interaction
Watch Equal Highs/Lows and Liquidity Zones
Look for sweeps or stop-hunts
4️⃣ Entry Confirmation
Enter near Har Ki Podi or AI Point Zones
Confirm with GSLV Momentum Candles or Chor Candle
5️⃣ Risk Management
Stop-loss beyond liquidity zones
Targets at next institutional or liquidity level
Best results come from multi-timeframe confirmation and patience.
ICT Fair Value Gaps [Zero-Noise Edition]ICT Fair Value Gaps
Overview
In the Smart Money Concepts (SMC) framework, clarity is the ultimate edge. Most FVG indicators clutter your screen with "ghost boxes" that remain long after they have been filled. This professional-grade tool identifies high-displacement institutional imbalances and automatically dissolves them the moment they are mitigated.
Key Features
Precision Detection : Uses the classic 3-candle displacement logic to identify institutional gaps.
Auto-Mitigation : Boxes are removed the moment price retraces and "fills" the imbalance, keeping your chart 100% clean.
High Performance : Optimized with array-based logic for zero-lag performance on all timeframes.
Built-in Alerts : Stay informed with real-time notifications when new institutional displacement occurs.
How to Trade This Tool
The Trigger : A new FVG box appears, confirming institutional "intent."
The Draw : Treat the open boxes as magnets for price (Draw on Liquidity).
The Entry : Wait for price to retrace and tap the edge of the "open" FVG.
The Exit : Use opposing mitigated zones or swing points for targets.
Customizable Settings
Visuals : Custom color palettes for Bullish and Bearish imbalances.
Labels : Toggle "FVG" text on or off for a minimalist HUD experience.
Logic : Option to hide filled gaps completely for the ultimate zero-noise experience.
Global Compatibility
Tested and optimized for:
Forex : EURUSD, GBPUSD, AUDUSD.
Indices : US30, NAS100, DAX40.
Commodities : Gold (XAUUSD), Silver, Oil.
Crypto : BTCUSD, ETHUSD.
Authors Note
This script is written in Pine Script v6 . It is designed for traders who prioritize accuracy over "noisy" indicators. If you find value in this tool, please leave a Boost and follow for more SMC tool releases!
3 inside BarThree Inside Up and Three Inside Down are three-candlestick patterns used in technical analysis.
A Three Inside Up is a three-candlestick pattern that forms after a downtrend. The first candle indicates a strong decline, the second shows indecision within that decline, and the third shows buyers taking control and pushing the price upwards, signaling a potential uptrend reversal.
A Three Inside Down is a three-candlestick pattern that appears after an uptrend. The first candle indicates a strong rise, the second shows indecision within that rise, and the third shows sellers becoming dominant and pulling the price down, signaling a potential downtrend reversal.
Daytrading Suite v6.4: Neon TPO + FVG + IB Lines (Stable)Here is the complete **Trading Manual & Strategy Guide** for the **Master Daytrading Suite (Neon + IB Edition)**.
This guide explains exactly **when** to trade and **how** to execute trades using the tools in the script.
---
# 📘 MASTER TRADING MANUAL (Neon + IB)
### 1. THE BASICS
* **Best Assets:** BTCUSDT & ETHUSDT (Futures).
* **Best Timeframe:** 5 Minutes (Entry) / 15 Minutes (Trend).
* **Key Session:** New York Session (High Volatility).
* **Golden Rule:** Never go **LONG** inside a Red Supply Zone. Never go **SHORT** inside a Green Demand Zone.
---
### 2. THE INDICATORS (Legend)
| Indicator | Color | Function | How to use |
| --- | --- | --- | --- |
| **Supply Zone** | 🟥 **Red Box** | Resistance | Look for Short setups here. |
| **Demand Zone** | 🟩 **Green Box** | Support | Look for Long setups here. |
| **Golden Pocket** | 🟧 **Orange** | Retracement | The "Sweet Spot" for trend entries (Fib 0.618). |
| **VWAP** | 🔵 **Blue Line** | Trend Anchor | Price > VWAP = Bullish. Price < VWAP = Bearish. |
| **Initial Balance (IB)** | 🟨 **Yellow Box** | Opening Range | Breakout above = Bullish. Breakdown below = Bearish. |
| **FVG (Gap)** | 🟩/🟥 **Tiny Box** | Trigger | **Green FVG** = Entry Signal for Longs. **Red FVG** = Entry Signal for Shorts. |
---
### 3. STRATEGY A: The Trend Pullback (High Win Rate)
*Use this when the market is trending smoothly.*
#### ✅ HOW TO ENTER A LONG (BUY) POSITION
1. **Trend Check:** Price is trading **ABOVE** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to drop back down (pullback).
3. **The Zone:** Price touches the **Green Demand Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Green FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Long. Stop Loss below the recent low. Take Profit at the next Red Zone.
#### 🔻 HOW TO ENTER A SHORT (SELL) POSITION
1. **Trend Check:** Price is trading **BELOW** the VWAP (Blue Line) and EMA 9 (Yellow Line).
2. **The Wait:** Wait for the price to rally up (pullback).
3. **The Zone:** Price touches the **Red Supply Zone** OR the **Orange Golden Pocket**.
4. **The Trigger:** A **Red FVG Box** appears on the 5-minute chart.
5. **Execution:** Enter Short. Stop Loss above the recent high. Take Profit at the next Green Zone.
---
### 4. STRATEGY B: The IB Breakout (Volatility)
*Use this specifically after the first hour of the New York Session (approx. 10:30 NY time).*
* **The Setup:** Look at the **Yellow Box (Initial Balance)** which marks the high/low of the first hour.
* **Bullish Breakout:** If a candle closes **above** the Yellow Box + Price is above VWAP → **Go Long**.
* **Bearish Breakdown:** If a candle closes **below** the Yellow Box + Price is below VWAP → **Go Short**.
* **The Trap (Fakeout):** If price breaks out but immediately falls back inside the Yellow Box, close the trade immediately.
---
### 5. DAILY ROUTINE (Checklist)
1. **Open TradingView:** Switch to the **15m Chart**.
2. **Check Context:** Where are we? Are we near a big Red Box (Supply) or Green Box (Demand)?
3. **Check Trend:** Is price above or below the Blue VWAP line?
4. **Wait for the Open:** Let the first hour of New York pass (to form the Yellow IB Box).
5. **Set Alerts:** Right-click the chart and set alerts for "IB Breakout" or "Golden Pocket".
6. **Execute:** Switch to the **5m Chart** to find your entry trigger (FVG).
---
### 6. RISK MANAGEMENT RULES
* **Stop Loss:** NEVER trade without one. Place it just outside the FVG box or the Zone.
* **Risk per Trade:** 1% to 2% of your account maximum.
* **No Trade Zone:** If the price is "chopping" (moving sideways) inside the Yellow IB Box, **do not trade**. Wait for a breakout.
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Optimist Pulse Wave [RC]
Optimist Pulse Wave
Optimist Pulse Wave is a closed-source oscillator that analyzes market momentum and internal price energy using a structured multi-wave and multi-filter framework. The indicator is intended to help traders assess momentum strength, phase transitions, and potential exhaustion areas across different market conditions.
Data Sources and Technical Components
The script is derived from price OHLC data and internally incorporates commonly known technical elements, including:
Simple Moving Averages (SMA)
Exponential Moving Averages (EMA)
Relative Strength Index (RSI)
Moving Average Convergence Divergence (MACD)
and used proprietary algorithm to make price and volume data to waves
These elements are not used or displayed in their standard standalone form. They are combined, transformed, and normalized to construct a layered momentum model.
Conceptual Framework
Market momentum develops in layers and degrees of strength. Rather than producing a single oscillator output, this indicator decomposes momentum into multiple wave types, and then evaluates each wave through progressive strength filters.
Wave Types
The script models momentum using five wave types, each representing a different time-response of price:
1. Pulse Wave | Short-term momentum and rapid price acceleration
2. Swing Wave | Intermediate momentum capturing swing-level movements
3. Trend Wave | Broader directional momentum reflecting trend persistence
4. Cycle Wave | Dominant rhythm of price over extended periods
5. Epoch Wave | Long-duration structural momentum used to contextualize regime changes or
prolonged conditions
Strength Filters
Each wave type is further evaluated using five internal strength filters, representing increasing levels of momentum confirmation:
Base | Minimal momentum conditions for the wave
Enhanced | Improved momentum quality with reduced noise
Strong | Sustained momentum with higher consistency
Dominant | Momentum aligned across multiple internal measures
Absolute | Extreme or fully developed momentum state
These filters help distinguish weak signals from structurally strong conditions.
Normalization and Zones
All wave and filter outputs are normalized to a fixed 0–100 scale, allowing comparison across symbols and timeframes.
The oscillator is visually divided into:
Green / Lower Zone : (Low Energy / Accumulation) Weak or rebuilding momentum
Middle Zone : Transitional or balanced conditions
Red / Upper Zone : (High Energy / Distribution / Exhaustion)Strong momentum or potential exhaustion
Zone interpretation is context-dependent.
Visual Trade Signals
✔ Green markers → Pulse-based BUY zones (energy expansion from lows)
✔ Red markers → Pulse-based SELL zones (energy exhaustion from highs)
Visual Markers
Visual markers appear when specific wave-and-filter combinations indicate:
Momentum expansion from low-strength conditions
Momentum deterioration after extended strength
Markers are intended as analytical references, not automated trade instructions.
🌍 Works Across All Markets & Timeframes
✔ Index (NIFTY, BANKNIFTY)
✔ Stocks
✔ Forex
✔ Crypto
✔ Scalping, Intraday to Positional
Usage Guidelines
This indicator may assist traders in:
Evaluating trend quality and momentum health
Timing entries during pullbacks
Identifying momentum exhaustion
Avoiding low-energy or sideways conditions
It should be used in conjunction with price action and contextual analysis.
Important Notes
The script uses commonly known technical components in a non-standard, composite structure
No predictive certainty or profitability claims are made
All outputs require user interpretation and confirmation
Settings and Training Videos available in followed folder
drive.google.com
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Point of Control [BigBeluga]🔵 OVERVIEW
Point of Control identifies the exact price level with the highest traded volume over a selected lookback period.
This level—called the Point of Control (PoC) —marks where the greatest market participation occurred, representing a zone of highest volume.
The indicator helps traders visualize dominant volume concentrations, fair-value levels, and structural balance within recent price action.
🔵 CONCEPTS
Point of Control (PoC) — The single price level within the defined lookback range that has accumulated the most traded volume.
Volume Distribution Bins — The price range is divided into 25 equal bins, and volume is aggregated per bin to locate the maximum concentration.
Range Boundaries — The highest and lowest price within the lookback window are used to form the upper and lower reference limits.
PoC Channel — Optional upper and lower bands plotted around the main PoC to visualize a fair-value corridor.
Volume Intensity Mapping — Candle color dynamically shifts based on the candle’s position relative to the PoC channel, showing whether price is balanced or trending away from high-volume levels.
🔵 FEATURES
Configurable Lookback Range — Adjust how many bars (10–400) are used for calculating the PoC.
Precise PoC Calculation — Volume aggregation across 25 bins to identify the exact volume peak.
Dynamic Channel Visualization — PoC bands above and below the central level to indicate equilibrium tolerance.
Adaptive Candle Coloring —
- Neutral → price inside PoC channel. Gray
- Bullish → price above PoC channel. Blue 🔵
- Bearish → price below PoC channel. Orange 🟠
Automatic Volume Labeling — Displays total volume at the active PoC level for quick reference.
Directional Indicators — 🔵 or 🟠 markers appear when price shifts above or below the PoC channel.
Range Visualization — Plots the highest and lowest points of the active lookback window for contextual awareness.
Live Updating Logic — PoC recalculates automatically every 15 bars for efficient chart performance and accuracy.
🔵 HOW TO USE
Volume Anchoring — Use PoC as a reference for where the majority of volume occurred; price often reacts to or consolidates around this level.
Trend Confirmation — Sustained price movement away from PoC channel may signal developing directional imbalance.
Value Tracking — Watch the shifting of PoC across time to identify where fair value migrates during market evolution.
Equilibrium Mapping — When price hovers around PoC, the market is balanced; when it departs, a new value zone may form.
Combine With Volume Profiles — Use alongside profile tools for higher-resolution analysis of institutional activity.
🔵 CONCLUSION
Point of Control provides a pure, volume-centric view of market balance by pinpointing where most transactions occurred within any chosen range.
It delivers a clean and efficient visualization of fair value zones—helping traders track the heartbeat of market participation, recognize dominant liquidity areas, and stay aligned with where true market interest resides.
8 EMA 50 EMA RSIMomentum change is calculated using two different exponential moving averages (8 and 50), and the values are shown with green (8 EMA) and red (50 EMA) lines.
The RSI value is shown in real-time in a table.
Asian Stop Hunt ModelSTOP HUNT MODEL – STRATEGY DESCRIPTION
The Stop Hunt Model is designed to capture high-probability trades by targeting stop-loss liquidity from retail traders at buy-side and sell-side liquidity zones. The strategy focuses on identifying where liquidity is taken during the Asian session, waiting for a Change of Character (CHoCH), and then entering from unfilled orders (Balanced Price Range / Imbalance) in the direction of the dominant IPDA bias. The objective is to trade from engineered liquidity sweeps toward the next logical liquidity pool, while maintaining strict risk control.
The model operates primarily on the 5-minute chart, with early confirmation on the 3-minute chart. The Asian Killzone is used to define the initial range, plotting its high and low. Higher-timeframe liquidity from Daily, 4H, and 1H charts is marked in advance to provide directional context. IPDA direction is determined using macro alignment such as global interest rate bias and long-term trend behavior.
Once the Asian session concludes, price is expected to sweep either the high or low of the Asian range or the previous day’s high/low. After the liquidity sweep, the market must show a valid CHoCH, confirming a shift in internal structure. Entries are taken only after the formation and retest of a Balanced Price Range (BPR) created by overlapping imbalances. Trades are executed from these imbalance zones, targeting the next liquidity area, with stop loss placed at the most recent swing high or low.
This model prioritizes precision over frequency, aiming for fewer trades with higher reward-to-risk ratios, typically 1:3 or better, and a strict daily risk cap.
CHECKLIST – STOP HUNT MODEL
1.Mark Asian Killzone High and Low
2.Identify IPDA directional bias for the pair
3.Mark Buy-side and Sell-side liquidity from Daily, 4H, and 1H
4.Wait for a liquidity sweep (Asian High/Low or Previous Day High/Low)
5.Confirm a valid CHoCH
6.Identify a valid BPR (overlapping imbalance)
7.Enter trade from the BPR zone
8.Target the next liquidity pool
9.Place stop loss at the last swing high or low
RULES – STOP HUNT MODEL STRATEGY
> Always pre-mark Buy-side and Sell-side liquidity on 1D, 4H, and 1H
> Asian Killzone must complete by 10:30 AM IST
> After Asian close, mark 15-minute timeframe liquidity
> Trade only after the market sweeps the Asian session high or low
> Align trades with IPDA direction:
> Bullish IPDA → Prefer sweep of Asian Low
> Bearish IPDA → Prefer sweep of Asian High
> CHoCH confirmation is mandatory:
> Green CHoCH for bullish setups
> Red CHoCH for bearish setups
Setup conditions:
1. Bullish: CHoCH above price + BPR below price
2. Bearish: CHoCH below price + BPR above price
3.BPR must be formed by overlapping imbalances:
4.Red → Green for bullish
5.Green → Red for bearish
6.Look for V-shaped (bullish) or A-shaped (bearish) candle behavior
7.Entry only on imbalance retest — no chase entries
8.Targets must be killzone extremes or next liquidity zone
9.Stop loss must always be at the last swing high or low
10.No manual exits if aiming for 1:3 RR
11.If price sweeps both sides or no clean sweep occurs → No Trade
12.Trade less, execute cleaner setups
13.Daily target: 1% maximum
Ghost Protocol [Bit2Billions]Ghost Protocol — Institutional RSI Intelligence Engine
Ghost Protocol is a closed-source, professional RSI intelligence system designed to solve a common and well-known problem faced by active traders:
traditional RSI tools provide fragmented, static, and often conflicting momentum information.
Instead of relying on multiple disconnected RSI indicators (divergence tools, fixed OB/OS levels, trend RSI, volatility filters, and MTF comparisons), Ghost Protocol unifies all RSI-based momentum analysis into a single, synchronized framework driven by proprietary logic.
This script is not a simple mashup of public RSI indicators.
All components operate from shared internal RSI engines, ensuring consistency, coherence, and realistic momentum interpretation across all conditions.
What Problem This Script Solves
Most RSI indicators suffer from at least one of the following limitations:
• Static OB/OS levels that ignore volatility
• Divergence signals that repaint or appear late
• Isolated signals with no regime or trend context
• Conflicting RSI tools producing contradictory bias
• Manual RSI trendline drawing
• No clear momentum narrative across timeframes
Ghost Protocol was built to replace this fragmented workflow with a single RSI ecosystem that provides:
• Trend strength
• Momentum pressure
• Volatility state
• Reversal probability
• Continuation vs exhaustion context
• Multi-timeframe alignment
—all from one coherent system.
Why This Is a Mashup — and Why It’s Justified
Ghost Protocol combines multiple RSI-based analytical layers by design, not convenience.
Each component exists to solve a specific RSI limitation, and all components are mathematically linked through shared proprietary RSI engines.
This mashup is justified because:
• Every module depends on the same adaptive RSI state
• Outputs are context-aware rather than isolated
• Signals confirm, filter, or invalidate each other
• The system produces a unified momentum narrative
The goal is not to merge indicators, but to replace the need for multiple RSI tools entirely.
How the Script Works (High-Level)
Ghost Protocol operates through three proprietary RSI systems, each feeding the next.
#1. Ghost Divergence Core (Proprietary Divergence Engine)
This engine identifies momentum turning points using:
• Displacement-weighted RSI swing analysis
• Real-time regular and hidden divergence validation
• Multi-layer swing qualification
• Pre-confirmation “Ghost Candidate” modeling
Unlike standard pivot-based divergence scripts, this engine evaluates momentum structure, not just price pivots, allowing earlier and more reliable exhaustion signals.
#2. Adaptive RSI Architecture (Volatility-Responsive Layer)
This system removes fixed RSI assumptions and replaces them with adaptive logic:
• Volatility-adjusted RSI zones
• Dynamic OB/OS thresholds
• Percentile-based trend strength indexing
• Auto-generated RSI support and resistance
RSI behavior adapts to market conditions instead of forcing price into static levels.
#3. Momentum Cloud & Trend Pressure Engine
All clouds, regime states, and momentum bias are derived from the Adaptive Layer.
Includes:
• RSI Ichimoku-style equilibrium cloud
• Momentum compression / expansion modeling
• Trend continuation vs exhaustion bias
• Multi-timeframe relative trend index
This produces contextual RSI signals, not isolated alerts.
Why This RSI Is Different From Standard RSI
Traditional RSI:
• Uses fixed 30/70 or 20/80 levels
• Treats all markets the same
• Ignores volatility shifts
• Generates signals without regime context
Ghost Protocol RSI:
• Uses adaptive thresholds
• Responds to volatility and displacement
• Interprets momentum structurally
• Evaluates trend pressure, not just level crossings
• Aligns signals across timeframes
This is an RSI intelligence system, not a basic oscillator.
Why Traders Pay for This Script
This invite-only script provides paid value because it replaces multiple manual and automated processes:
• Manual divergence drawing
• RSI zone calibration
• RSI trendline plotting
• OB/OS interpretation
• Multi-timeframe RSI comparison
• Momentum shift detection
• Volatility-adjusted trend reading
—all inside a single closed-source framework built on original logic.
The value is not in individual elements (RSI, divergence, clouds), but in how they are mathematically integrated and synchronized.
Key Components & Intent
#RSI Candles (Standard & Heikin-Ashi)
Purpose: clearer momentum transitions and divergence readability.
#Divergence Engine
Detects:
• Regular divergence
• Hidden divergence
• Ghost Candidate pre-divergence
Purpose: identify exhaustion before price confirmation.
#Adaptive RSI Zones
Zones adjust based on:
• Volatility
• Displacement
• Trend direction
Purpose: eliminate static OB/OS bias.
#RSI Ichimoku Cloud
Shows:
• Regime bias
• Momentum compression/expansion
• Equilibrium shifts
Purpose: identify internal RSI regime transitions.
#RSI Trendlines
Automatically maps momentum structure.
Purpose: remove manual RSI drawing.
#Relative Trend Index
Evaluates trend alignment across multiple timeframes.
Dashboard Metrics (Contextual, Not Signal-Based)
Provides a consolidated view of:
• Volatility
• Volume
• VWAP vs price
• EMA sentiment and structure
• RSI and price OB/OS statistics
• Relative trend alignment
• ATR state and trailing stop context
Purpose: decision context, not trade automation.
Visual Design & Usability
• Only real-time labels are displayed
• Historical clutter is hidden
• Consistent color and line hierarchy
• Clear distinction between divergence types and momentum states
This design supports institutional-style momentum reading, not signal spam.
Summary
Ghost Protocol is a closed-source, invite-only RSI intelligence system built on original logic.
Its mashup structure is intentional, necessary, and justified, because it solves real RSI limitations that cannot be addressed by isolated tools.
This script delivers clear analytical value, coherent momentum interpretation, and a professional workflow worthy of a paid publication.
Recommended Use
* Best on: 15m, 1H, 4H, Daily, Weekly
* Works across: crypto, forex, indices, liquid equities
* Pivot-style modules may show noise in illiquid markets
Performance Notes
* Heavy modules may draw many objects → disable unused tools
* Refresh chart if buffer limits are approached
* Internal handling of TradingView object rules
License
* Proprietary script © 2025
* Independently developed
* Redistribution, sharing, resale, or decompilation prohibited
* Similarities to public tools result only from shared market concepts
Respect & Transparency
Built using widely-recognized RSI concepts, but extended with proprietary logic.
Developed with respect for the TradingView community.
Any overlaps can be addressed openly and constructively.
Disclaimer
For educational and research use only.
Not financial advice.
Always test responsibly and manage risk.
FAQs
* Source code is intentionally private
* Modules can be toggled
* Alerts can be configured manually
* Works on all major markets and timeframes
About Ghost Trading Suite
Author: BIT2BILLIONS
Project: Ghost Trading Suite © 2025
Indicators: Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow
Strategies: Ghost Robo, Ghost Robo Plus
Pine Version: V6
The Ghost Trading Suite is designed to simplify and automate many aspects of chart analysis. It helps traders identify market structure, divergences, support and resistance levels, and momentum efficiently, reducing manual charting time.
The suite includes several integrated tools — such as Ghost Matrix, Ghost Protocol, Ghost Cipher, Ghost Shadow, Ghost Robo, and Ghost Robo Plus — each combining analytical modules for enhanced clarity in trend direction, volatility, pivot detection, and momentum tracking.
Together, these tools form a cohesive framework that assists in visualizing market behavior, measuring momentum, detecting pivots, and analyzing price structure effectively.
This project focuses on providing adaptable and professional-grade tools that turn complex market data into clear, actionable insights for technical analysis.
Crafted with 💖 by BIT2BILLIONS for Traders. That's All Folks!
Changelog
v1.0 – Initial Release
* Added RSI Candles (Standard & Heiken-Ashi) for enhanced trend and divergence clarity.
* Implemented Divergence Engine to highlight both regular and hidden divergences automatically.
* Introduced Live Ghost Candidates to visualize forming divergence setups.
* Added Adaptive RSI Zones for dynamic overbought and oversold thresholds.
* Integrated Trend Index using percentile volatility sampling for directional bias.
* Added RSI Ichimoku Cloud for equilibrium and momentum zone visualization.
* Implemented RSI Trend Lines for auto support/resistance on RSI.
* Added Momentum Shift Visualization and real-time momentum tracking.
* Introduced Relative Trend Index for multi-timeframe trend strength analysis.
* Developed Dashboard Module displaying volatility, volume, EMA trends, RSI/price overbought-oversold percentages, relative trend, and ATR-based metrics.
AMS Dominance TunnelAMS Dominance Tunnel
AMS Dominance Tunnel is a context and regime-analysis indicator designed to help traders understand what kind of market they are in before focusing on entries.
Rather than generating buy/sell signals, the tool focuses on identifying:
Market regime (run vs transition)
Dominant forces driving price behavior
Phase state (build-up, expansion, inertia, decay)
Structural quality of current conditions
Risk pressure present in the tape
The goal is to reduce common execution mistakes that occur when indicators are applied without sufficient market context—particularly during rotational or compressed environments.
Internal Engines (Conceptual)
The indicator evaluates market behavior using three internal lenses:
ME (Momentum Engine) – captures directional impulse and velocity
CS (Consensus Strip) – reflects agreement or disagreement across time horizons
RBU (Risk Build-Up) – highlights compression, imbalance, and latent volatility pressure
The HUD may reference agreement or dominance between these engines to summarize internal alignment. These are conceptual components, not standalone indicators, and are exposed only at a high level to support interpretation.
Core Concepts
Regime First
Markets behave differently in directional runs versus transitions. Dominance Tunnel is built to highlight those differences clearly.
Multi-Horizon Context (Auto Ladder)
Execution, regime, and higher-timeframe context are evaluated together using an automated timeframe ladder to maintain consistency across common chart intervals.
Dominance & Phase Awareness
The indicator highlights which internal engine is most influential at a given moment and how that dominance is evolving.
Quality & Risk State
A structured quality score (0–100) and risk state label provide a high-level assessment of reliability and volatility pressure.
Intended Use
This tool is designed as a context lens, not a signal generator.
It is best used to:
determine whether conditions favor trend continuation, rotation, or patience
inform position sizing and risk expectations
decide when not to trade as much as when to engage
Execution decisions should be made using separate entry tools appropriate to the identified regime.
Pairing & Workflow
For traders who use momentum-based execution tools, this indicator is best paired with a momentum or oscillator-style study to time entries within favorable regimes.
Best paired with my free Adaptive Momentum MACD for additional execution context.
(Used together, the Dominance Tunnel provides the structural backdrop, while momentum tools help evaluate local timing.)
Design Philosophy
Opinionated defaults to reduce overfitting
No performance claims
No repainting
Emphasis on interpretability and risk awareness
This indicator reflects a discretionary, context-driven approach to market analysis rather than a mechanical trading system.















