ZLEMA FusionZLEMA Fusion - Advanced Zero-Lag Momentum & Trailing Stop System
A sophisticated overlay indicator combining the power of Zero Lag EMA (ZLEMA) with ATR-based Moving Stop (MOST) for precision trend following and dynamic support/resistance tracking.
Core Components:
1. ZLEMA (Zero Lag Exponential Moving Average)
Eliminates lag inherent in traditional EMAs
Provides faster response to price changes
Customizable length for different trading styles
Smooth, responsive trend line
2. MOST (Moving Stop - ATR Trailing Stop)
Dynamic ATR-based trailing stop system
Automatically adjusts to market volatility
Never moves backward - only trails in favourable direction
Green line = Uptrend support | Red line = Downtrend resistance
Customizable ATR multiplier and lookback period
Signal Generation:
BUY (⇑): When ZLEMA crosses above MOST
SELL (⇓): When ZLEMA crosses below MOST
Clean visual arrows with no label boxes
Signals trigger on candle close only (no repainting)
Advanced Features:
✅ Signal Cooldown System - Prevents signal spam with configurable minimum bars between signals
✅ ADX Trend Strength Filter - Optional filter to trade only in strong trends
✅ Higher Timeframe ZLEMA Confirmation - Multi-timeframe trend alignment for higher probability setups
✅ Background Color Coding - Quick visual trend identification (Green = Uptrend, Red = Downtrend)
✅ Alert System - Built-in alerts for buy and sell signals
Fully Customizable:
ZLEMA length
ATR period and multiplier
MOST lookback period
Signal cooldown bars
ADX filter threshold
Higher timeframe settings
Visual display options
Best Used For:
Index trading
Swing trading
Trend following strategies
Dynamic support/resistance identification
Entry/exit timing
Optimized for Indian Markets - Calibrated for Nifty, Bank Nifty, and other NSE instruments.
⚠️ Important Notes:
This indicator is for educational purposes
No repainting - all signals confirmed at candle close
Use proper risk management
Combine with your trading plan and additional confirmation
Phân tích Xu hướng
KASTE Buy & SellThis indicator works like a **MACD-based momentum tool**.
It calculates the difference between a fast and a slow moving average (MACD line) and smooths it with a signal line.
* A **Buy signal** appears when the MACD line crosses **above** the signal line, indicating rising bullish momentum.
* A **Sell signal** appears when the MACD line crosses **below** the signal line, indicating increasing bearish momentum.
The histogram visualizes momentum strength: green bars show bullish momentum and red bars show bearish momentum.
KASTE indicator 2 (for 10s Entries)This script is a **1-minute MACD-based trend filter** designed to define clear **bullish or bearish market bias**.
It uses a fast MACD configuration combined with a 50-period EMA to identify short-term trend direction and momentum strength.
A bullish state is shown when price is above the EMA and MACD momentum is rising above zero, while a bearish state is shown when price is below the EMA and momentum is falling below zero.
The background color highlights the current trend, making it easy to align **10-second entry timing** with the higher-timeframe bias and avoid trading in choppy conditions.
Kinetic Regression VectorKinetic Regression Vector (KRV) is a non-repainting direction and compression indicator designed for one job: help you avoid low-quality markets and catch high-quality expansion moves when the odds improve.
Most “prediction” tools either repaint, lag, or pretend they can call exact future prices. KRV doesn’t do that. Instead, it focuses on what actually improves trading outcomes: regime quality, directional bias, and compression-to-expansion timing — all shown visually and locked on closed candles.
What goes into it (what it’s built from)
KRV fits a smooth model to the last N bars of price action and projects that structure forward as a “vector tunnel.”
It uses three core ideas:
Weighted Least Squares (WLS) regression
Recent candles matter more than older ones. That means the model reacts faster when conditions change (important for sector shifts and fast ETF rotations), without using lagging moving averages.
Quality gating with R²
The indicator measures whether the market has been clean and structured recently. If structure is weak (chop/noise), KRV effectively turns itself “off” so you’re not trading randomness.
Model-based uncertainty bands (SEE) with a volatility fallback
Instead of sizing the tunnel only by volatility, KRV can size it by how consistent the model has been. When the model is unreliable, the tunnel widens. When it’s reliable, the tunnel tightens. If you prefer classic behavior, ATR-based band sizing is available as a fallback.
What makes it different (why it stands out)
KRV stands out because it combines features that are usually not together in one tool:
Adaptive, model-driven tunnel width (based on model error when SEE is enabled), instead of a fixed volatility channel that can look “confident” even in messy regimes.
Directional bias that is not a moving-average lag (it’s based on the fitted structure’s slope).
A compression trigger that is self-relative (pinch compares current band width to its own historical baseline, not an arbitrary threshold).
Strict non-repaint design (signals are computed from closed candles so the chart doesn’t lie after the fact).
Forward visualization (the tunnel projects into the future as a reference map, with uncertainty naturally increasing forward).
What you see on the chart
Vector Tunnel: the projected path and the expected noise range around it.
Color: bullish or bearish bias based on the current slope of the model.
Pinch: compression detected (band width unusually tight versus its baseline).
Bull/Bear Bullets: confirmed pinch signals aligned with directional bias.
Target Marker: a forward reference point based on the current structure (not a guarantee, but a useful reference level).
How to use it (simple, repeatable)
Use it as a three-step decision tool:
Gate (participate or stand down):
If the model is not “on” (quality is weak), treat it as a “stay out” signal. This is the most important feature for avoiding bad trades.
Direction (bias):
When the model is on, follow the bias. Bull bias means your edge is on longs. Bear bias means you avoid longs (or only take bearish setups if you trade that way).
Pinch + confirmation (timing):
A pinch means pressure is building. The bullet marks “compression + bias.” For best results, act after you see expansion confirmation (breakout candle / range expansion / level break) rather than treating the bullet as a blind entry.
Best features (why traders keep it)
Non-repainting signals locked to closed bars
Clear “stay out” logic during chop
Direction bias that responds faster than classic lagging tools
Compression detection designed to highlight expansion windows
Forward tunnel for planning risk, entries, and exits visually
Best markets and timeframes
KRV performs best on liquid ETFs and liquid large-cap stocks, and on sector themes like energy where regime shifts matter.
Recommended timeframes:
4H: best for timing entries and avoiding noise
Daily: best for swing direction and higher-quality setups
Weekly: best for big-picture regime filtering (stay out vs participate)
Monthly can be used for macro regime, but not for timing.
What to expect (honest expectations)
KRV is not a guaranteed predictor of exact prices. Its edge comes from:
filtering out weak/noisy regimes,
identifying compression that often precedes expansion,
and aligning that setup with a directional bias,
without repainting.
Trend Signal GridTrend Signal Grid
Based on Trend Direction & Force Index - TDFI by Causecelebre, the TDFI Grid is a multi-timeframe momentum indicator that builds on the original TDFI concept. It calculates TDFI across three user-selectable timeframes using three different lookback periods, creating a 3×3 consensus grid (9 readings total).
Each cell is classified as bullish, bearish, or neutral based on configurable upper and lower thresholds. When a majority of the 9 readings align in the same direction (default 65%), the indicator triggers a directional signal — either GRID UP or GRID DOWN. Alerts fire automatically on new signals so you never miss a shift.
How it works
The indicator uses a smoothed EMA-based momentum calculation, normalises the output against its recent highest absolute value, and then maps it across your chosen timeframes and lookback lengths. The results are displayed in a clean on-chart table showing the state of each timeframe/lookback combination at a glance.
Settings:
Timeframe 1, 2, 3 — Choose any three timeframes (defaults to 1m, 5m, 15m).
LB1, LB2, LB3 — Lookback periods for each TDFI calculation.
UP / DOWN thresholds — Controls how far the TDFI must move before a cell registers as bullish or bearish.
Majority — The percentage of the 9 cells that must agree to trigger a signal.
Table position — Place the grid anywhere on your chart.
Best used for
Trading setups where you need to confirm momentum alignment across multiple timeframes before entering or scaling a position. Works well on forex and metals.
FX-CLINIC/ICT/CONCEPT V1ICT Indicator
1- Show external structure (MSS,BOS) and you can change the long of the swing, color and type of the line
2- Show internal structure (IMSS,IBOS) and you can change the long of the swing, color and type of the line
3- BSL,SSL and you can change the number of lines, the strong of liquidity (1-20) , color and type of the line
4- FVG ( bearish, and bullish) and you can control the color, borders, and you can change the name and the color of the name
5- IFVG ( bearish, and bullish) and you can control the color, borders, and you can change the name and the color of the name
6- Automatic update the structures and Gaps
Created by FX-CLINIC
Inside Bar Zones by AAK (V6)📦 Smart Inside Bar Zones
Smart Inside Bar Zones is a price-action–based indicator designed to automatically detect, track, and visualize inside bar consolidation zones with full historical context.
Instead of marking single inside candles, this indicator groups consecutive inside bars into structured zones, locking the original mother candle range and extending it until price breaks out. This allows traders to clearly identify areas of compression, balance, and potential expansion.
🔍 Key Features
Automatic Inside Bar Detection
Identifies inside bars using candle bodies within the mother candle range, with an optional tick buffer.
Smart Zone Creation
Consecutive inside bars are grouped into a single zone, anchored to the original mother candle.
Unlimited Historical Storage (Data)
All previous inside bar zones are stored internally, enabling long-term analysis and backtesting.
Safe & Optimized Drawing
Zones are drawn using recyclable boxes to respect TradingView object limits while maintaining performance.
Highlight Inside Bars
Optional candle coloring for quick and clear visual confirmation.
Flexible Display Options
Show only the latest zone
Or display multiple zones with automatic recycling
📈 How Traders Use It
Identify consolidation before expansion
Spot compression zones for breakout or fakeout scenarios
Combine with SMC, order flow, support & resistance, or liquidity concepts
Use higher-timeframe zones for directional bias
Use lower-timeframe zones for entries and scalps
⚠️ Important Notes
This indicator does not predict direction — it highlights structure
Zones represent price balance, not buy or sell signals
Best used in confluence with your trading strategy and risk management
🧠 Designed For
Price action traders
SMC / market structure traders
Forex, crypto, indices, and futures
Any timeframe
⚠️ Risk Disclaimer
This indicator is for educational purposes only and is not financial advice. Trading involves significant risk, and losses may exceed expectations. Past performance does not guarantee future results. Always use proper risk management and trade at your own discretion.
SMA Multi-Sync Granville & MTF CounterSMA Multi-Sync Granville & MTF Counter
Overview
This indicator is an environmental awareness tool that identifies when and to what level moving averages (SMAs) across multiple time frames align in the same direction, visualizing the timing and freshness of the trend.
Its greatest feature is that it does not simply determine synchronization; rather, it precisely distinguishes the time frame upon which synchronization is completed using the number of stars (★).
Key Features
1. Calculation of "Stars" Based on Confirmed Time Frame Trigger
The number of stars displayed upon synchronization completion indicates the signal's "temporal weight."
★ (1): Synchronization is completed upon confirmation of the displayed time frame.
★★ (2): Synchronization is completed upon confirmation of the next higher time frame (e.g., 15 minutes).
★★★ (3): Synchronization is completed upon confirmation of the next higher time frame (e.g., 1 hour). The more higher the time frame is confirmed, the more powerful the trend reversal or regression it acts as.
2. MTF Sync Panel
The table on the right side of the screen displays the price position (background) and MA direction (text) for each level (displayed to daily) in real time.
By watching the background and text colors match, you can understand the accumulation of energy before a star appears.
3. Cross Counter
The number of bars elapsed from the synchronization starting point (MA crossover, etc.) to the current bar is displayed numerically in the lower right corner.
The closer to "0" the number, the more likely it is the beginning of a trend, while the higher the number, the more likely it is the end of the trend (expiration date).
Usability of Input Settings
Min Stars (1-5) This sets the signal cutoff. Setting it to "2" eliminates noise caused by the displayed bar being confirmed and narrows down to only the moment when the higher bar is confirmed (★2 or higher).
Cancel Alert if MA Slope Same If the MA of the displayed time frame is already leaning in the same direction (leading), the confirmation (★1) on that time frame will be considered "not an initial move" and excluded.
5m TF: Use 30m SMA When using 5-minute time frames, this physically changes the ★2 trigger from the confirmation on the 15-minute chart to the confirmation on the 30-minute chart. This is effective when targeting milestones on larger time frames.
*If you have any questions about how to use this, please ask in the comments.
SMA Multi-Sync Granville & MTF Counter
概要
本インジケーターは、複数の時間足の移動平均線（SMA）が「いつ、どの階層まで同じ方向に揃ったか」を特定し、そのトレンドの**「確定タイミング」と「鮮度」**を可視化する環境認識ツールです。
最大の特徴は、単なる同調判定ではなく、**「どの時間足の確定（Close）によって同期が完成したか」**を星（★）の数で厳密に区別する点にあります。
主な機能
1. 確定足トリガーによる「星」の算出
同期が完成した瞬間に表示される星の数は、そのシグナルの「時間的な重み」を示します。
★（1つ）：表示足の確定により同期が完成。
★★（2つ）：1つ上の上位足（15分等）の確定により同期が完成。
★★★（3つ）：2つ上の上位足（1時間等）の確定により同期が完成。 上位の足が確定する節目ほど、より強力なトレンドの転換・回帰として機能します。
2. MTF同期パネル
画面右側のテーブルで、各階層（表示足〜日足）の「価格の位置（背景）」と「MAの向き（文字）」をリアルタイムに表示します。
背景色と文字色が一致していく過程を見ることで、星が出る前の**「エネルギーの蓄積」**を把握できます。
3. クロスカウンター
同期の起点（MAクロス等）から、現在の足まで何本経過したかを右下に数値で表示します。
「0」に近いほど初動であり、数値が大きくなるほどトレンドの終盤（賞味期限切れ）である可能性を論理的に示唆します。
インプット設定の使い勝手
Min Stars (1-5) シグナルの足切り設定です。「2」に設定すれば、表示足の確定によるノイズを排除し、**上位足の確定が伴った瞬間（★2以上）**のみに絞り込めます。
Cancel Alert if MA Slope Same 表示足のMAがすでに同方向へ傾いている（先行している）場合、その足での確定（★1）を「初動ではない」とみなして除外します。
5m TF: Use 30m SMA 5分足運用時、★2のトリガーを「15分足」から「30分足」の確定に物理的に変更します。より大きな時間軸の節目を狙う場合に有効です。
※使い方が不明なところはコメントで聞いてください。
Daily Candles (3 Prev + Live) | Fully Customizable Previous 3 daily candles + current live candle, placed according to price, with pip range inside candle, fully customizable
Fair Value GapA Simple and Clean FVG.
A straight-forward Indicator that indicates Bullish or Bearish FVGs by either Chart or specified TF.
Some color capabilities to add colored borders and max out your Trading View theme.
Elite Order Blocks V4 [CX Liquidity Hunter]What does this indicator do?
This indicator automatically detects high-probability Order Blocks based on real Market Structure (BOS/CHoCH). Unlike generic indicators that mark "zones" based only on wicks or simple pullbacks, this script identifies the exact origin of a structural break, filtering noise and focusing on where real institutional money is located.
How does it work?
The script uses a real-time state tracking architecture to validate each zone:
Market Structure Mapping : Identifies Pivot Highs and Lows to map BOS (Break of Structure). An Order Block is only confirmed once price breaks a previous high or low.
Sweep Detection (A+ Setups) : Validates if the block candle swept previous liquidity before the break. These blocks are highlighted in gold as high-probability setups.
Imbalance Filter (FVG) : Requires the initial move to leave a Fair Value Gap, confirming institutional displacement.
Volume Intensity : Measures relative volume at the block's origin; higher volume results in higher color saturation.
HTF Context Alignment : Cross-checks 1H and 4H trends to label zones that are aligned with the higher timeframe tide.
Main features:
Potential OB Previews : Displays gray zones "in formation" before the BOS to anticipate entries (v6 feature).
Proximity Radar : The block's border glows white when price enters the zone's "Killzone".
Breaker Blocks : Identifies when a block is breached and flips its nature (Support/Resistance).
Mitigation Tracking : Distinguishes between "Tested" zones (holding strength) and "Mitigated" zones (fully consumed).
Mean Threshold (50%) : Dotted line indicating the equilibrium level for refined entries.
How to use it:
Identify the major bias using the label on the blocks.
Wait for price to reach a Demand (Bullish) or Supply (Bearish) block.
Watch the Proximity Radar (glowing border) to prepare for the trade.
Look for a reaction at the Mean Threshold (50%) or the block's edge.
Gold blocks (A+) have the highest probability of an immediate rejection.
CTR Weekly MA + 1D MA (improved)This does what the previous version does but more. I've added color candles to match the three weekly MAs. It helps show the stronger pullback as it goes deeper into each of the 3 weekly MAs and once the pullback is over and price goes back above or below the lowest or highest MA (depending on whether you are trading in a bear market or bull market) the candle colors will turn bright green or bright red.
25GN-Intraday Reversals and MomentumThe 25GN-Intraday Suite is a high-performance visual interface designed for professional traders on the 5m, 10m, and 15m timeframes. This master version combines two distinct proprietary signal paths into one streamlined overlay.
CORE CAPABILITIES
Precision Reversal Bubbles (25GN-B / 25GN-S): Identifies significant trend exhaustion and pivot points using a multi-layered validation engine.
Trend Momentum Triangles: Real-time identification of high-velocity breakout phases.
Price Action Lock: An automated filtering system that invalidates signals during periods of market indecision or low-conviction price action.
OPERATIONAL GUIDELINES
Strict Timeframe Optimization: Engineered specifically for the 5-minute, 10-minute, and 15-minute charts.
Smart Alerts: Fully compatible with TradingView alerts for modular trade automation.
Plug-and-Play: Designed to work out of the box with calibrated defaults for the supported timeframes.
This script is strictly for educational and informational purposes and does not constitute financial, investment, or trading advice. It is not an investment or trade suggestion. Users must evaluate all signals and execute trades based on their own independent analysis and risk assessment. Past performance is not indicative of future results. Trading involves significant risk of loss.
Triple RCZR 1.3Triple RCZR — Regime Compression & Release (v1.3)
Triple RCZR is a regime-reading oscillator built to identify compression, alignment, and release across time horizons using a structured triple-RSI framework.
This script is not designed to predict direction.
It is designed to reveal when the market is storing energy and when that storage resolves.
Core Idea
Markets rarely move cleanly.
Before expansion, price usually compresses across multiple sensitivities.
Triple RCZR tracks this process by observing three RSI speeds simultaneously:
Fast RSI → short-term reaction
Medium RSI → execution / decision layer
Slow RSI → higher-timeframe memory
When these layers compress into a shared zone — and especially when they align tightly — the market enters a coil state.
When alignment breaks, expansion becomes more likely.
Key Features
🔹 Triple RSI Framework
Three RSI curves run in parallel, each representing a different response speed.
Preset configurations included:
6 / 12 / 18
7 / 14 / 21
8 / 16 / 24
9 / 18 / 27
Optional custom lengths for advanced tuning.
🔹 Coil Zone Detection
A configurable RSI band defines the compression zone.
The script continuously evaluates how many RSIs are inside the zone:
1 RSI → early compression
2 RSIs → building agreement
3 RSIs → full compression
🔹 Anchored Coil (Higher-TF Compression)
An anchored coil occurs when:
All three RSIs are inside the coil zone, and
Fast and Medium RSIs remain tightly aligned to the Slow RSI.
This state represents multi-timeframe agreement and stored momentum.
Anchored duration is tracked in bars to distinguish fleeting pauses from meaningful compression.
🔹 Breakout & Release Awareness
Breakouts are detected only when RSI exits the coil after compression.
Anchored coil start, confirmation, and release events can trigger alerts.
Emphasis is placed on context, not raw signals.
Visual Design Philosophy
Colors are intentionally restrained and functional.
Importance is communicated through density and structure, not brightness.
Anchored coils are visually distinct from ordinary coils without overwhelming the chart.
Designed for long sessions and multi-symbol scanning.
How to Use
Triple RCZR works best when used to:
Identify regime transitions
Compare behavior across markets, indices, or timeframes
Filter trades based on compression quality, not impulse
It is especially effective in:
Sideways or corrective environments
Macro and index analysis
Situations where time matters more than price
This is not a standalone trading system.
It is a context engine.
Version Notes (v1.3)
Added RSI preset selector for fast regime tuning
Improved anchored coil visibility
Refined color system for clarity and reduced fatigue
Core logic intentionally unchanged
Final Note
Triple RCZR is built on the idea that
markets reveal intent before they reveal direction.
If you trade execution, this shows you when to care.
If you study markets, this shows you when structure is changing.
AngleAura UTAngleAura UT is an advanced trading indicator built on top of the classic UT Bot concept, enhanced with modern risk‑management logic, next‑candle execution, and a clean visual interface.
The script uses a modified algorithm based on:
- ATR‑adjusted trailing levels
- EMA crossover logic
- Dynamic trend switching
This helps identify trend reversals with minimal noise.
Matrix OrderflowMatrix Orderflow Technical Documentation
Matrix Orderflow is a Pine Script v6 execution engine that integrates Machine Learning regime detection with real-time orderflow imbalance tracking.
1. Functional Logic
Matrix ML Regime Detection
The indicator calculates a prediction using the Matrix ML library.
Bullish Regime: Triggered when the prediction slope exceeds the positive threshold. Visualized by a Cyan line.
Bearish Regime: Triggered when the prediction slope falls below the negative threshold. Visualized by a Hot Pink line.
Micro-Momentum Gating: Signals are strictly gated by the rate of change (p_slope) of the ML prediction.
Smart Trend Fallback
In instances where the ML prediction is neutral (below slope thresholds), the engine switches to a Macro Trend fallback. Bias is determined by the relationship between the closing price and the selected Baseline (Matrix ML or EMA).
Persistent Liquidity Zones (FVG)
Detects Fair Value Gaps using confirmable bar logic.
Persistence: Boxes remain active on the chart until the price trades through the mid-point or the entire gap (mitigation).
Directional Bias: Active long FVGs provide a bullish bias; active short FVGs provide a bearish bias.
Footprint Imbalance Tracking
Scans for stacked imbalances within a single candle.
Bullish Imbalance: Aggressive buying clustered at specific price levels.
Bearish Imbalance: Aggressive selling clustered at specific price levels.
These clusters act as rejection zones for high-conviction entries.
Trap Detection
Identifies instances where price interacts with a liquidity zone (FVG) but fails to maintain the move, accompanied by opposing orderflow. These are marked with "X" symbols.
2. Signal Generation (Confluence)
Signals are generated based on a "Triple-Lock" alignment system:
Regime Alignment: Price must be on the correct side of the ML/Trend baseline.
Bias Alignment: Most recent FVG and Imbalance must agree with the directional trade.
Momentum Confirmation: The ML slope must be trending in the direction of the signal.
3. Visualization Guide
Cyan Shapes/Lines: Bullish confluence and aggressive buying.
Hot Pink Shapes/Lines: Bearish confluence and aggressive selling.
Yellow Circle: Point of Control (POC).
Yellow X: Trap detection / Potential exhaustion.
Triangles: High-conviction entry signals.
4. Input Configuration
Delta Sensitivity: Sets the minimum volume delta required for institutional force confirmation.
ML Sensitivity: Adjusts the slope thresholds for regime changes.
Baseline Type: Toggle between Matrix ML prediction and a standard EMA for trend tracking.
Table Controls: Configuration for the top-right dashboard display. village
Pip Surgeon DeluxePip Surgeon Deluxe – Precision Trade Execution System
Pip Surgeon Deluxe is a proprietary, invite-only trading indicator designed for traders who demand clarity, structure, and precision. It blends multi-timeframe trend alignment with refined entry logic, partial profit management, trailing stops, and real-time market condition awareness.
Built for both scalping and swing trading, Pip Surgeon Deluxe adapts to changing market environments using EMA trend structure, VWAP positioning, RSI confirmation, and ADX-based market strength filtering — all presented through a clean on-chart dashboard.
Key Features
Scalp & Swing modes with automatic bias selection
Multi-timeframe confirmation (5m, 30m, 1H)
EMA trend-based structure with dynamic color cues
VWAP positional confirmation
Partial TP (TP1), final TP (TP2), and intelligent trailing stops
Automatic support & resistance levels
Real-time ADX market condition analysis
One-click master alert system (entries, TP, exits)
On-chart dashboard for instant decision-making
Best Used On
Forex, indices, and metals
5m & 15m execution charts
London and New York sessions
⚠️ Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users are solely responsible for their trading decisions.
Invite-only access. Source code is private and protected.
UCTB BTC[CoinTadpole]UCTB BTC
UCTB is a specialized RSI-based momentum indicator engineered for Bitcoin trading. It introduces a Sustainment Verification Architecture — a structured approach that filters premature signals by requiring RSI conditions to persist across multiple consecutive bars before generating alerts.
Unlike standard RSI threshold alerts that trigger immediately upon crossing, UCTB implements a principle-based filtering system with dual operational modes and configurable signal confidence levels. This architecture addresses the core challenge of volatile cryptocurrency markets: distinguishing between momentary noise and genuine momentum shifts.
🔶 WHAT MAKES THIS INDICATOR ORIGINAL
This is NOT another RSI threshold alert or delayed entry script.
While several RSI-based scripts exist that incorporate bar counting or delay mechanisms, UCTB introduces a fundamentally different approach through its Sustainment Verification Architecture.
The Key Differentiator — Sustainment vs. Delay:
Existing scripts like delayed RSI strategies simply wait N bars after a threshold cross before signaling. UCTB takes a different approach: it requires the RSI condition to be actively maintained throughout the verification period, not merely elapsed time since the initial cross.
How Different Approaches Compare:
Standard RSI signals on threshold cross, which produces many false signals from wicks. Delayed RSI signals N bars after cross, but still triggers on brief touches that bounce back. UCTB Sustainment signals only if the condition persists continuously for N bars, filtering brief touches entirely.
Example Scenario — RSI drops to 29, bounces to 35, then drops to 28 over 3 bars:
Standard RSI would generate 2 signals (Bar 1 and Bar 3). Delayed RSI with 3-bar delay would generate 1 signal after the initial cross plus delay. UCTB Conservative Mode would generate 0 signals because the condition was not sustained continuously — RSI exited the zone on Bar 2 when it bounced to 35.
This sustainment-based filtering represents a structural difference, not merely a parameter adjustment.
🔶 FOUR INTEGRATED COMPONENTS
1. Sustainment Verification Engine
The core innovation. Rather than counting bars since a threshold cross, the algorithm verifies that RSI , RSI , and RSI all remain within the threshold zone. This continuous zone maintenance requirement is what distinguishes sustainment from simple delay.
2. Adaptive Dual-Period System
Automatically selects RSI calculation period based on trading style. Scalping Mode uses RSI(14) for faster response to intraday movements. Swing Mode uses RSI(21) for smoother readings suitable for position trading. This is not simply a toggle between two presets — the entire signal generation logic adapts to the selected period's characteristics.
3. Signal Confidence Filtering
Two distinct verification requirements, not just sensitivity adjustment. Conservative Mode requires continuous zone maintenance where RSI must stay in zone for all 3 bars. Aggressive Mode requires only elapsed time since breach — 3 bars passed, regardless of intermediate exits. These modes apply fundamentally different verification logic, not just different threshold values.
4. Bar-Close Confirmation Protocol
All signals validate against barstate.isconfirmed before dispatch, ensuring that only finalized bar data triggers alerts.
🔶 THE SUSTAINMENT PRINCIPLE
Understanding the value of sustainment verification requires examining how RSI behaves in volatile markets.
The Problem with Threshold-Only Detection:
When RSI briefly touches 30 on a single bar, it often represents a momentary price wick extending beyond the candle body, temporary liquidity gaps that reverse within the same bar, or news-driven spikes that do not reflect underlying momentum. These brief threshold touches generate signals that lack follow-through. Price frequently reverses direction immediately after the touch, creating poorly-timed entries.
The Sustainment Solution:
Requiring RSI to remain below 30 (or above 70) for multiple consecutive bars applies three filtering principles.
Noise Filtering Principle — Random price fluctuations rarely maintain extreme RSI readings for 3+ consecutive bars. The probability of random noise sustaining an extreme condition decreases with each additional bar requirement.
Momentum Confirmation Principle — Sustained extreme RSI readings indicate that buying or selling pressure has persisted over multiple price intervals. A single-bar extreme may be noise; a multi-bar extreme suggests genuine momentum shift.
Signal Processing Foundation — Each additional bar of confirmation serves as an independent verification. This is analogous to requiring multiple sensor readings before triggering an alarm — it reduces false positives from transient spikes.
Practical Demonstration:
Consider this sequence: RSI = 29 → 35 → 28 over three bars. A delayed RSI script (3-bar delay after first crossing below 30) would still generate a signal, because it only checks if 3 bars have elapsed since the threshold was first crossed. UCTB Conservative mode generates no signal, because the RSI exited the zone on Bar 2 (RSI = 35 > 30), breaking the sustainment requirement. This distinction matters in choppy, ranging markets where RSI frequently oscillates around threshold boundaries.
🔶 WHY BITCOIN MARKETS REQUIRE THIS APPROACH
Bitcoin's market microstructure creates specific challenges that make sustainment verification particularly valuable.
High Wick-to-Body Ratio Characteristic:
Bitcoin candles frequently exhibit large wicks relative to their bodies, especially during high-volume periods and around key price levels. These wicks can briefly push RSI into extreme territory without representing genuine trend exhaustion. Sustainment verification filters these wick-driven signals by requiring the condition to persist beyond the initial spike.
Continuous Market Structure:
Unlike traditional markets with defined session breaks, Bitcoin trades 24/7/365. This continuous structure creates more low-liquidity periods (weekends, holidays) where brief RSI extremes occur without follow-through, and more opportunities for unsustained threshold touches during off-peak hours. The sustainment requirement helps filter signals that occur during these transient conditions.
Adaptive Period Rationale:
The dual-period system addresses different Bitcoin trading approaches. RSI(14) is more responsive, suitable for capturing Bitcoin's rapid intraday movements. RSI(21) is smoother, filtering out more short-term fluctuations for swing trading. Manual switching between periods is operationally inconvenient. The mode selector automates this based on declared trading style.
🔶 PRACTICAL VALUE PROPOSITION
What This Indicator Automates:
Manually implementing sustainment verification requires tracking when RSI first entered the threshold zone, whether RSI has remained in the zone for each subsequent bar, and applying different verification rules based on trading mode. Doing this across multiple timeframes while managing active positions is error-prone. UCTB automates this entire verification process.
Operational Benefits:
Reduced Alert Noise — Instead of receiving alerts on every RSI threshold cross (many of which reverse immediately), traders receive alerts only when the sustainment criteria are met.
Consistent Methodology — Human traders often apply confirmation checks inconsistently, sometimes waiting, sometimes not. UCTB applies identical verification logic every time, removing execution variability.
Mode-Based Flexibility — Conservative and Aggressive modes allow traders to adjust verification strictness based on current market conditions without manually reconfiguring parameters.
🔶 ALGORITHM SPECIFICATION
The indicator operates through a sequential verification process:
Step 1: RSI Calculation — Computes RSI using the adaptive period. Scalping mode uses ta.rsi(close, 14). Swing mode uses ta.rsi(close, 21).
Step 2: Threshold Breach Detection — Identifies when RSI transitions into oversold (≤30) or overbought (≥70) territory from outside the zone.
Step 3: Bar Counting — Tracks elapsed bars since the trigger using ta.barssince().
Step 4: Sustainment Verification — Applies mode-specific verification. Conservative Mode verifies that RSI , RSI , and RSI all remain within the threshold zone. Aggressive Mode only verifies that 3 bars have elapsed since initial breach.
Step 5: Signal Dispatch — Signals are generated only when barstate.isconfirmed is true, ensuring bar-close confirmation.
🔶 RECOMMENDED USAGE
Timeframe Selection:
For Scalping Mode, use 15-minute to 1-hour charts. For Swing Mode, use 4-hour to Daily charts.
Mode Selection Guide:
In high volatility conditions, Scalping with Conservative mode provides stricter filtering for noisy conditions. In trending markets, Swing with Conservative mode offers higher confidence entries on pullbacks. In ranging or consolidating markets, Scalping with Aggressive mode captures more signals for range-bound trading. In low volatility environments, either style with Aggressive mode works well since looser filtering is acceptable when noise is lower.
Integration Recommendations:
Combine with support/resistance analysis for entry refinement. Use with volume confirmation for additional validation. Apply standard position sizing and risk management protocols.
🔶 SIGNAL INTERPRETATION
🟢 BUY Signal
Generated when RSI has sustained below 30 for the verification period (mode-dependent). Indicates that selling pressure has persisted across multiple bars, suggesting potential momentum exhaustion. Important: This is NOT a guarantee of reversal. It identifies conditions where sustained RSI weakness may precede a bounce.
🔴 SELL Signal
Generated when RSI has sustained above 70 for the verification period. Indicates that buying pressure has persisted across multiple bars, suggesting potential distribution. Use for exit planning or short consideration, not as an automatic execution trigger.
🔶 NON-REPAINTING CONFIRMATION
This indicator does NOT repaint. All signals validate against barstate.isconfirmed before generation. Historical signals remain fixed once the bar closes. What appears on historical charts is exactly what was displayed in real-time. Intrabar fluctuations may show preliminary readings, but final signals confirm only at bar close.
🔶 IMPORTANT LIMITATIONS
This indicator identifies sustained RSI threshold conditions; it does not predict price direction. Signals indicate potential reversal zones, not guaranteed reversals. Strong trends can maintain oversold/overbought conditions for extended periods without reversing. The 3-bar verification period is optimized for typical Bitcoin volatility; different assets may require adjustment. Sustainment verification reduces signal frequency — traders seeking high-frequency signals may find this limiting. Always use in conjunction with other analysis methods. Past signal patterns do not guarantee future performance. This is an analysis tool, not a standalone trading system.
🔶 RISK DISCLAIMER
Trading cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Bitcoin markets are highly volatile and can experience rapid price movements. This indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance does not guarantee future results. All trading decisions are entirely your own responsibility. Never risk more than you can afford to lose.
🔶 HOW TO GET ACCESS
This script is provided as Invite-Only. To request access, please check the links in my TradingView profile.
UNIVERSAL Position Size Calculator ALL Brokers mobil brokers//@version=5
indicator("UNIVERSAL Risk & Position Size Calculator (ALL Brokers)", overlay=true)
// =====================
// USER INPUTS
// =====================
accountBalance = input.float(100000, "Account Balance")
riskPercent = input.float(1.0, "Risk % per Trade", step=0.1)
// =====================
// EXECUTION TYPE (ONE LINE – PINE SAFE)
// =====================
executionType = input.string("MT4 / MT5 / cTrader", "Execution Type", options= )
// =====================
// LOT / CONTRACT DEFINITION (MANUAL)
// =====================
lotDefinition = input.float(100000, "Units per Lot / Contract")
// =====================
// ENTRY & STOP
// =====================
entryPrice = input.float(0.0, "Entry Price")
stopPrice = input.float(0.0, "Stop Loss Price")
// =====================
// SYMBOL DATA (AUTO)
// =====================
tickSize = syminfo.mintick
tickValue = syminfo.pointvalue * syminfo.mintick
// =====================
// CORE CALCULATIONS
// =====================
riskAmount = accountBalance * (riskPercent / 100)
stopDistance = math.abs(entryPrice - stopPrice)
ticks = stopDistance / tickSize
riskPerUnit = ticks * tickValue
unitsAllowed = riskPerUnit > 0 ? riskAmount / riskPerUnit : na
rawPosition = unitsAllowed / lotDefinition
// Futures = whole contracts only
finalPosition = executionType == "Futures" ? math.floor(rawPosition) : rawPosition
// =====================
// DISPLAY PANEL
// =====================
var table t = table.new(position.top_right, 2, 13, border_width=1)
table.cell(t, 0, 0, "Execution Type")
table.cell(t, 1, 0, executionType)
table.cell(t, 0, 1, "Account Balance")
table.cell(t, 1, 1, str.tostring(accountBalance))
table.cell(t, 0, 2, "Risk %")
table.cell(t, 1, 2, str.tostring(riskPercent) + "%")
table.cell(t, 0, 3, "Risk Amount ($)")
table.cell(t, 1, 3, str.tostring(riskAmount))
table.cell(t, 0, 4, "Entry Price")
table.cell(t, 1, 4, str.tostring(entryPrice))
table.cell(t, 0, 5, "Stop Loss Price")
table.cell(t, 1, 5, str.tostring(stopPrice))
table.cell(t, 0, 6, "Stop Distance")
table.cell(t, 1, 6, str.tostring(stopDistance))
table.cell(t, 0, 7, "Risk per 1 Unit ($)")
table.cell(t, 1, 7, str.tostring(riskPerUnit))
table.cell(t, 0, 8, "Units Allowed")
table.cell(t, 1, 8, str.tostring(unitsAllowed, "#.##"))
table.cell(t, 0, 9, "Units per Lot / Contract")
table.cell(t, 1, 9, str.tostring(lotDefinition))
table.cell(t, 0, 10, "POSITION SIZE TO ENTER")
table.cell(t, 1, 10, str.tostring(finalPosition, "#.##"))
table.cell(t, 0, 11, "Broker Tip")
table.cell(t, 1, 11, "Copy this value into broker")
table.cell(t, 0, 12, "Symbol")
table.cell(t, 1, 12, syminfo.ticker)
UNIVERSAL Position Size Calculator ALL Brokers mobil//@version=5
indicator("UNIVERSAL Risk & Position Size Calculator (ALL Brokers)", overlay=true)
// =====================
// USER INPUTS
// =====================
accountBalance = input.float(100000, "Account Balance")
riskPercent = input.float(1.0, "Risk % per Trade", step=0.1)
// =====================
// EXECUTION TYPE (ONE LINE – PINE SAFE)
// =====================
executionType = input.string("MT4 / MT5 / cTrader", "Execution Type", options= )
// =====================
// LOT / CONTRACT DEFINITION
// (CHANGE THIS TO MATCH ANY BROKER)
// =====================
lotDefinition =
executionType == "MT4 / MT5 / cTrader" ? 100000 :
executionType == "CFD (Units)" ? 1 :
1
// =====================
// ENTRY & STOP
// =====================
entryPrice = input.float(0.0, "Entry Price")
stopPrice = input.float(0.0, "Stop Loss Price")
// =====================
// SYMBOL DATA (AUTO)
// =====================
tickSize = syminfo.mintick
tickValue = syminfo.pointvalue * syminfo.mintick
// =====================
// CORE CALCULATIONS
// =====================
riskAmount = accountBalance * (riskPercent / 100)
stopDistance = math.abs(entryPrice - stopPrice)
ticks = stopDistance / tickSize
riskPerUnit = ticks * tickValue
unitsAllowed = riskPerUnit > 0 ? riskAmount / riskPerUnit : na
rawPosition = unitsAllowed / lotDefinition
// Futures = whole contracts only
finalPosition = executionType == "Futures" ? math.floor(rawPosition) : rawPosition
// =====================
// DISPLAY PANEL
// =====================
var table t = table.new(position.top_right, 2, 13, border_width=1)
table.cell(t, 0, 0, "Execution Type")
table.cell(t, 1, 0, executionType)
table.cell(t, 0, 1, "Account Balance")
table.cell(t, 1, 1, str.tostring(accountBalance))
table.cell(t, 0, 2, "Risk %")
table.cell(t, 1, 2, str.tostring(riskPercent) + "%")
table.cell(t, 0, 3, "Risk Amount ($)")
table.cell(t, 1, 3, str.tostring(riskAmount))
table.cell(t, 0, 4, "Entry Price")
table.cell(t, 1, 4, str.tostring(entryPrice))
table.cell(t, 0, 5, "Stop Loss Price")
table.cell(t, 1, 5, str.tostring(stopPrice))
table.cell(t, 0, 6, "Stop Distance")
table.cell(t, 1, 6, str.tostring(stopDistance))
table.cell(t, 0, 7, "Risk per 1 Unit ($)")
table.cell(t, 1, 7, str.tostring(riskPerUnit))
table.cell(t, 0, 8, "Units Allowed")
table.cell(t, 1, 8, str.tostring(unitsAllowed, "#.##"))
table.cell(t, 0, 9, "Units per Lot / Contract")
table.cell(t, 1, 9, str.tostring(lotDefinition))
table.cell(t, 0, 10, "POSITION SIZE TO ENTER")
table.cell(t, 1, 10, str.tostring(finalPosition, "#.##"))
table.cell(t, 0, 11, "Broker Tip")
table.cell(t, 1, 11, "Use this value in broker")
table.cell(t, 0, 12, "Symbol")
table.cell(t, 1, 12, syminfo.ticker)
OB/OS Environment MTFThis indicator identifies overbought and oversold price environments — not reversal signals — using a multi-timeframe regime filter combined with volatility-adjusted stretch and confluence logic.
The goal is to highlight when price is objectively extended relative to trend, so traders can:
reduce chasing,
size appropriately,
manage risk,
or look for mean-reversion / pause scenarios without assuming a top or bottom.
How it works
1. Higher-Timeframe Regime (Stable)
Intraday charts → Daily regime
Daily charts → Weekly regime
Weekly charts → Monthly regime
Monthly charts → Monthly regime
Regime is determined using HTF close vs HTF EMA (optionally slope-filtered).
This keeps environments stable and avoids intrabar regime flipping.
2. Volatility-Adjusted Stretch
Price extension is measured as:
distance from EMA
normalized by ATR (z = (price − EMA) / ATR)
This allows the same logic to work across:
5m / 30m / 1h
Daily / Weekly / Monthly
3. Confluence Scoring (N-of-M)
An OB/OS environment only triggers when stretch and a minimum number of confirmations are present:
RSI extreme
Bollinger %B excursion
Stretch percentile vs its own history
Large candle relative to ATR
User-configurable confirmation count helps reduce noise.
4. Environment State (Sticky)
Once an overbought or oversold environment is detected:
the state persists until price decompresses or regime breaks
optional background shading visualizes the environment
arrows mark entry into the environment (not exits)
What this is / is not
This is:
an environment/context tool
multi-timeframe aware
volatility-normalized
designed to work across assets and timeframes
This is NOT:
a buy/sell signal
a reversal system
predictive of timing tops or bottoms
Strong trends can remain overbought/oversold for extended periods — by design.
Best use cases:
Risk management in strong trends
Avoiding late entries
Scaling decisions
Mean-reversion setups with confirmation
Context for options traders (IV, spreads, diagonals)
Feedback welcome
This is an early public release.
I’m specifically interested in feedback on:
confluence logic
regime behavior
parameter defaults by timeframe
false positives vs missed environments
If you have ideas or improvements, please comment — especially if you test across multiple markets or higher timeframes.
