Kernel Filter Histogram (RBF)The Kernel Filter Histogram (RBF) is a regime-detection and edge-confirmation tool built on Gaussian (RBF) kernel regression.
It is designed to identify when market conditions are favorable for participation and when traders should stay defensive.
Instead of reacting to price noise, this indicator measures the normalized slope of a smoothed kernel regression curve, converts it into a z-score, and displays it as a histogram representing directional edge pressure.
What It Measures
Underlying market regime (bullish, bearish, or neutral)
Strength and quality of directional momentum
Statistical edge expansion vs compression
When trend continuation is more likely vs chop
How It Works
Applies Nadaraya–Watson kernel regression using a Gaussian (RBF) kernel
Calculates the slope of the regression curve
Normalizes slope using ATR for cross-instrument consistency
Converts the result into a z-score to measure statistical deviation
Smooths the output into a readable histogram + signal line
Uses an optional threshold gate to filter low-quality conditions
Reading the Histogram
Green bars → Bullish regime / positive edge
Red bars → Bearish regime / negative edge
Gray bars → Neutral / low-edge environment
Above zero → Bullish pressure dominates
Below zero → Bearish pressure dominates
Threshold gating allows you to require minimum edge strength before treating signals as actionable.
Best Use Cases
Trade filter (only take longs when bullish, shorts when bearish)
Regime confirmation for existing strategies
Momentum quality assessment
Avoiding chop and low-probability setups
Multi-timeframe alignment tool
What This Is (and Is Not)
✔ IS: A high-quality regime and edge filter
✔ IS: Designed for professional trading systems
✔ IS: Instrument-agnostic and timeframe-agnostic
✖ NOT: A buy/sell signal generator
✖ NOT: A lagging moving average
✖ NOT: A beginner indicator
Recommended Usage
Use this indicator as a gatekeeper:
Only execute setups when the histogram confirms favorable regime conditions
Combine with your entry trigger, not instead of it
Works exceptionally well with trend-following, momentum, and mean-expansion systems
Indicadores e estratégias
Fuerza Relativa vs SPY con TablaRelative Strength vs SPY with Score (0–100)
This indicator measures the relative strength of an asset versus SPY (or any user-defined benchmark), allowing traders to quickly identify whether an asset is outperforming or underperforming the broader market.
Relative strength is calculated as the ratio between the asset’s price and the reference index price, and is accompanied by a smoothed moving average that acts as a baseline to detect changes in relative trend.
🔹 Main Features:
Relative Strength Line:
Green when the asset shows strength versus the market.
Red when it shows relative weakness.
Configurable moving average used as a dynamic reference line.
Colored cloud between the relative strength line and its moving average for quick visual interpretation.
Crossover signals (triangles) when relative strength crosses above its moving average.
🔹 Relative Strength Score (0–100)
Includes an information table displaying a normalized score based on Percent Rank, comparing the current value with its historical behavior:
Current
Previous Day
Previous Week
Previous Month
Score interpretation:
🟢 > 70 → Strong relative performance
🟠 30 – 70 → Neutral zone
🔴 < 30 → Relative weakness
🔹 Recommended Uses:
Identifying market leaders.
Trend confirmation.
Comparative analysis between assets.
Strength-based filters for swing and medium-term trading strategies.
NIFTY 5m Bull Ratio + SL/TP Trackersimple, practical Bull Ratio formula tailored for NIFTY (index or NIFTY futures) on a 5-minute timeframe.
News2024H1Library "News2024H1" - This contains news events from 2024 H1 News Events
f_loadNewsRows()
f_loadExcSevByTypeId()
f_loadExcTagByTypeId()
NICHI (NuwenPham's Ichimoku)NICHI (NuwenPham’s Ichimoku)
NICHI is a dual-engine Ichimoku indicator designed for modern, high-volatility markets.
It preserves a faithful traditional Ichimoku while introducing an advanced, filter-driven Ichimoku framework for research, visualization, and discretionary trading.
The goal of NICHI is not to replace Ichimoku — but to extend it.
Overview
NICHI includes two independent Ichimoku systems that can be enabled separately or together.
1. Standard Ichimoku
A clean, traditional Hosoda Ichimoku using Donchian midpoints:
Tenkan-sen (short period)
Kijun-sen (medium period)
Senkou Span A & B (forward displaced)
Chikou Span (lagging)
Design choice:
The Standard Ichimoku is intentionally plotted in a separate pane to avoid cluttering the price chart.
It serves as a reference / regime baseline, not a visual overlay.
2. Advanced Ichimoku
The Advanced system keeps the Ichimoku structure intact but replaces the Donchian calculations with selectable smoothing filters.
Each Ichimoku component (Tenkan, Kijun, Senkou B, Chikou) can be calculated using modern filters designed to handle volatility, noise, and regime shifts.
Supported filters include:
McGinley Dynamic (MD)
VWMA (exchange or tick-derived volume)
EMA / DEMA / SMA / SMMA / WMA
ALMA / LSMA / Hull MA
COVWMA / FRAMA / KAMA
50th Percentile
Moving Median
This allows Ichimoku to behave as:
A smoother trend system
A volatility-adaptive framework
A momentum-responsive overlay
Enhanced Cloud (Kumo) Modeling
Advanced Kumo logic includes:
Independent forward offsets for Span A and Span B
Bull / bear regime classification aligned with how the cloud is actually drawn
Adaptive cloud coloring
Neutral cloud state when spans disagree
This avoids misleading regime signals when different offsets are used.
Directional Persistence Tracking
NICHI tracks directional streaks for key components:
Tenkan direction
Kijun direction
Span A direction
Span B direction
These persistence counters stabilize coloring, reduce flicker, and improve visual clarity during transitions.
Bar Coloring Modes (Advanced)
Three bar-coloring frameworks are included.
Kumo-Based
Above cloud → bullish
Below cloud → bearish
Inside cloud → neutral
Tenkan / Kijun-Based
Above both → bullish
Below both → bearish
Chikou-Based
Chikou above past price → bullish
Chikou below past price → bearish
Each mode is intentionally distinct and serves a different trading style.
Moving Average Overlays
NICHI includes four optional moving average overlays (MA1–MA4):
Configurable type, length, width, and source
Intended for bias, confluence, or higher-timeframe context
Controlled as code-level constants by design
What Changed Since BETA
This release promotes NICHI from beta to stable with the following key improvements:
Chikou regime logic fixed:
Chikou comparisons now reference historical price only, eliminating any future lookahead behavior.
Kumo bull/bear alignment clarified:
Cloud regime classification now matches how the cloud is visually drawn when Span A and Span B use different forward offsets.
Kijun direction tracking corrected:
Kijun coloring now reflects Kijun movement, not Tenkan movement.
Bar coloring gated:
Bar coloring is applied only when Advanced Ichimoku is enabled, preventing unintended behavior when using Standard mode alone.
General stability and cleanup:
Minor bug fixes, consistency improvements, and documentation clarity.
Notes
Advanced Ichimoku is intended for research and visualization, not as a turnkey strategy.
Standard Ichimoku remains a faithful baseline.
If reporting issues, please include symbol, timeframe, and a screenshot.
Days of WeekSplits the days of the week by UTC 00:00 and writes the day with a customizable light gray colored text.
Institutional PointOverview Institutional Point is a sophisticated data-mining indicator designed to identify and track "institutional footprints" by isolating the single candle with the highest volume relative to a specific time anchor. Unlike traditional volume profiles that aggregate data into price bins, this script pinpoints the exact temporal origin of massive liquidity injections.
Core Methodology The script operates on a multi-timeframe analysis engine (MTF). It scans sub-chart data (2-minute or 15-minute intervals) to find the absolute maximum volume peak within a defined period. Once the "Institutional Point" is identified:
Source Identification: The origin candle is highlighted in white, signaling a high-conviction entry or exit by large-scale market participants.
Zone Projection: A borderless "Institutional Zone" is projected forward from the spike’s high/low range.
Dynamic Interaction: The zone remains active until the price revisits the area (mitigation) or until the time-based expiration is reached.
Anchor Modes & Precision
8-Hour Cycle: Optimized for high-frequency scalping. Anchors reset at 00:00, 08:00, and 16:00. Utilizes ultra-precise 2-minute volume detection.
Daily Session: Designed for intraday and swing traders. Anchors to the Daily Open. Utilizes 2-minute volume detection to isolate precise institutional orders.
Weekly Cycle: Built for identifying major structural pivots. Anchors to the Weekly Open. Utilizes 15-minute volume detection for macro-liquidity analysis.
Key Features
Naked Level Tracking: Zones automatically stop extending the moment they are "hit" by price action, providing a clean visual of unmitigated liquidity.
Anti-Noise Filter: Automatically excludes Saturday and Sunday data to maintain statistical integrity across global markets.
Minimalist Interface: High-contrast visual design focused on scannability and professional chart aesthetics.
Use Cases
Data Science & Backtesting: Ideal for measuring the "Z-Score" or "Percentile Distance" from institutional peaks.
Supply & Demand Trading: Automated identification of the "Origin of the Move."
Magnet Analysis: Tracking "Naked" volume spikes as high-probability magnets for future price mean reversion.
Risk Calculator (gmoneytrading)Risk Calculator + Trade Plan Scaling is a practical position sizing and planning tool designed for Forex and Gold (XAUUSD) traders.
It helps traders calculate lot size based on account balance, risk percentage, and stop loss, and then visualize a trade plan with scaled targets in dollar terms.
The indicator supports:
• Automatic lot sizing based on defined risk
• A linked trade plan that mirrors the risk calculator
• An optional manual trade plan mode for scenario planning
• Clear table-based visualization for quick decision-making
DISCLAIMER:
This indicator is for educational and informational purposes only.
It does not constitute financial advice or a recommendation to buy or sell any financial instrument.
Trading involves risk, and users are responsible for verifying all calculations and trade decisions.
M.T.C. Gold Pocket Break of Structure (BOS)
Swing → impuls
Fib over impuls
Gold Pocket = entry
SL onder OB
TP1 = RR 1:1
TP2 = RR 1:2
Ping-Pong Fade (BB + Absorption Proxy)Ping-Pong Fade is a mean-reversion fade indicator designed to capture short-term reversals at statistically extreme price levels only when real participation and absorption behavior are present.
This script intentionally mashes up Bollinger Bands, volume expansion, and candle structure to filter out weak band touches and isolate defended extremes.
Why This Mashup Exists
Bollinger Band fades fail most often when:
Price is expanding with conviction
Breakouts are supported by strong directional bodies
There is no opposing liquidity at the extremes
This indicator solves that by requiring three independent confirmations before signaling a fade:
Statistical Extremity (Bollinger Bands)
Participation (Volume Expansion)
Absorption / Rejection (Candle Structure)
Only when all three align does the script trigger a signal.
Component Breakdown & How They Work Together
1. Bollinger Bands – Where price should react
Uses a standard SMA + standard deviation envelope
Defines upper and lower statistical extremes
Provides the location for potential fades, not the signal by itself
Bands answer where, not whether.
2. Volume Spike Filter – Who is involved
Compares current volume to a moving average
Requires volume to exceed a configurable multiple
Ensures the interaction at the band is meaningful, not illiquid noise
No volume = no real defense = no trade.
3. Candle Body % (Absorption Proxy) – How price is behaving
Measures candle body relative to full range
Small bodies at the band imply:
Heavy two-sided trading
Aggression being absorbed
Failure to close through the extreme
This acts as a practical proxy for order-flow absorption without requiring Level II or footprint data.
Big range + small body + high volume = pressure met with resistance.
Signal Logic (The “Ping-Pong” Effect)
🔽 Short Fade
Triggered when:
Price probes above the upper Bollinger Band
Volume spikes above normal
Candle shows a small body and fails to close strong at highs
Interpretation:
Buyers pushed price to an extreme, but were absorbed. Expect rotation back toward the mean.
🔼 Long Fade
Triggered when:
Price probes below the lower Bollinger Band
Volume spikes above normal
Candle shows a small body and fails to close strong at lows
Interpretation:
Sellers forced price down, but were absorbed. Expect a bounce toward the mean.
What This Indicator Is Best Used For
Intraday mean-reversion setups
Range-bound or rotational markets
Scalping and short-term fades near extremes
Confirmation layer alongside VWAP, structure, or HTF bias
What It Is Not
A breakout tool
A trend-following indicator
A standalone system without context
Core Philosophy
Extreme + Volume + Failure = Opportunity
Ping-Pong Fade is designed to show you when price tries to escape its range — and fails — allowing you to fade the move with structure and intent.
Rons 5-9 Cross5 EMA crosses the 9EMA with long and sort indicator. When the 5 crosses below the 9 short, when the 5 crosses above the 9 long.
ORB 15 Min Fixed (09:30 EST/EDT-NY OPEN)This script is for the ORB 15 min strategy. It starts (initializes) at 09:30AM US Eastern Time(New York Open).
Digital MACD Divergences MTF [LUPEN]Digital MACD Divergences MTF V1.0
Overview:
Digital MACD Divergences MTF is an advanced momentum oscillator based on digital signal processing techniques.
Instead of relying on traditional moving-average smoothing, it applies Finite Impulse Response (FIR) digital filters to extract momentum more cleanly, reducing lag and short-term market noise.
The indicator is designed to provide a clear visualization of momentum structure, divergence behavior, and multi-timeframe context, rather than discrete trading signals.
Conceptual Architecture
At its core, the indicator reinterprets the classic MACD framework through digital convolution logic:
FIR filters are used to compute momentum in a more responsive and stable manner than standard EMA-based MACD.
The resulting histogram represents momentum intensity and direction as a continuous state rather than binary conditions.
A digitally smoothed signal line provides structural reference without introducing excessive delay.
This approach emphasizes momentum quality and structure, not signal frequency.
Divergence Detection Logic:
The script includes automatic divergence detection based on pivot analysis:
Regular bullish and bearish divergences are identified using confirmed pivot points.
Divergences are visualized with explicit line structures and optional filled areas, highlighting the zone of disagreement between price behavior and momentum.
The visualization is designed to remain readable without obscuring price action.
Divergences are presented as contextual information, not as mandatory actions.
Multi-Timeframe (MTF) Context
Digital MACD Divergences MTF supports native multi-timeframe analysis through a dual-pane workflow:
A lower-timeframe instance visualizes local momentum dynamics.
A higher-timeframe instance visualizes the broader momentum regime within which lower-timeframe fluctuations occur.
The higher-timeframe view is not intended as confirmation or filtering logic, but as a contextual background layer that helps interpret short-term momentum behavior inside a larger structural environment.
This separation avoids decision compression and keeps each timeframe’s role conceptually distinct.
Visual Design
Gradient-based histogram fills represent momentum intensity in a continuous manner.
Positive and negative momentum regions are clearly differentiated while remaining adaptable to both dark and light chart themes.
All visual elements are designed to emphasize state and regime, not discrete events.
Reliability
No repainting: all divergences and momentum states are confirmed on candle close and remain fixed.
Designed for consistency across instruments and timeframes.
Customization Options
Timeframe selection for MTF mode (leave empty to use the chart’s timeframe).
Adjustable signal smoothing parameters.
Divergence visibility controls, pivot sensitivity, and optional divergence fill.
Fully customizable color palette.
Usage Notes
This indicator is a visual market analysis tool intended to support momentum interpretation and structural context.
It does not provide investment advice, trading signals, or automated decision logic, and should be used as part of a broader analytical framework.
Final quotes:
"Trading is not about prediction, but about understanding momentum structure.
Digital MACD removes noise to make that structure visible."
[ST] Killzones - Minimal Killzones — Minimal
User Manual
1. Purpose of the Indicator
Killzones — Minimal is a session-based market structure tool designed to highlight the highest-liquidity time windows of the trading day.
Instead of generating signals, this indicator provides context by visually marking the ICT Killzones, allowing the trader to:
Identify where liquidity is built
See which session created the range
Anticipate where liquidity is likely to be taken
Align SMC / Wyckoff / Order Flow analysis with time-based institutional behavior
This tool is especially effective for Crypto, Forex, and Indices, where markets run continuously and liquidity cycles matter more than exchange open times.
2. Killzones Covered (São Paulo Time – UTC-3)
The indicator draws one minimal, dotted box per session:
Session Time (SP) Role in Market Structure
ASIA 21:00 – 03:00 Range formation & liquidity buildup
LONDON 04:00 – 07:00 First liquidity raid & manipulation
NEW YORK (Killzone) 10:00 – 13:00 True displacement & delivery
These are ICT Killzones, not official stock exchange open times.
3. Visual Design Philosophy
The indicator is intentionally minimalist:
Dotted borders → no visual clutter
Optional fill → focus on structure, not noise
No signals or arrows → forces contextual reading
One box per session → clean session boundaries
The goal is to let price action and liquidity tell the story, not indicators.
4. How the Boxes Behave
Each session box:
Starts on the first candle of the session
Expands dynamically to include the session High and Low
Stops updating once the session ends
Remains fixed on the chart as historical context
This allows you to instantly see:
Which session created the current range
Where stop-loss clusters are likely resting
Which session was manipulated or delivered price
5. How to Use the Indicator (Practical Workflow)
Step 1 — Identify the Current Session
Ask:
Are we inside Asia, London, or New York?
Your expectations should change depending on the session.
Step 2 — Read Session Intent
ASIA
Expect compression and balance
Focus on identifying Asia High / Asia Low
Avoid aggressive trades inside the range
LONDON
Look for liquidity raids on Asia High/Low
Many London moves are manipulative
A failed raid is often a setup for NY
NEW YORK
Look for true displacement
High probability of:
Continuation
Reversal after a sweep
Best session to execute trades
Step 3 — Trade Liquidity, Not Candles
Use the boxes as liquidity maps, not entries.
High-probability ideas come from:
Asia range being swept during London
London manipulation being reversed during NY
NY taking remaining liquidity and delivering direction
6. Example Use Cases
Setup 1 — Asia Range Sweep
Asia forms a tight range
London sweeps Asia High or Low
Price fails to continue
Market shifts structure
Entry on OB / FVG toward the opposite side
Setup 2 — London Manipulation → NY Delivery
London sweeps liquidity but stalls
New York opens
NY takes the opposite side liquidity
Strong displacement occurs
Entry on NY pullback
Setup 3 — Session Breakout
No sweep
Immediate strong displacement
Clean continuation
Trade only after confirmation
7. What NOT to Do
Do not trade inside the middle of session boxes
Do not assume every sweep means reversal
Do not force trades without structure shift
Do not treat sessions as signals
The indicator shows where to pay attention, not when to click Buy or Sell.
8. Best Confluence Tools
This indicator works best when combined with:
Market Structure (BOS / CHoCH)
Order Blocks
Fair Value Gaps
Liquidity pools
Volume-based candle analysis (e.g. CandleFlow)
9. Final Notes
Killzones — Minimal is a contextual framework, not a strategy.
If you wait for:
Liquidity to be taken
Structure to shift
Price to confirm intent
You will trade with the market narrative, not against it.
Time reveals intent. Liquidity confirms it.
Sentinel Market Structure [JOAT]
Sentinel Market Structure - Smart Money Structure Analysis
Introduction and Purpose
Sentinel Market Structure is an open-source overlay indicator that identifies swing highs/lows, tracks market structure (HH/HL/LH/LL), detects Break of Structure (BOS) and Change of Character (CHoCH) signals, and marks order blocks. The core problem this indicator solves is that retail traders often miss structural shifts that smart money traders use to identify trend changes.
This indicator addresses that by automatically tracking market structure and alerting traders to key structural breaks that often precede significant moves.
Why These Components Work Together
Each component provides different structural information:
1. Swing Detection - Identifies significant pivot highs and lows. These are the building blocks of market structure.
2. Structure Labels (HH/HL/LH/LL) - Classifies each swing relative to the previous swing. Higher Highs + Higher Lows = uptrend. Lower Highs + Lower Lows = downtrend.
3. Break of Structure (BOS) - Identifies when price breaks a swing level in the direction of the trend. This is a continuation signal.
4. Change of Character (CHoCH) - Identifies when price breaks a swing level against the trend. This is a potential reversal signal.
5. Order Blocks - Marks the last opposing candle before an impulse move. These zones often act as future support/resistance.
How the Detection Works
Swing Detection:
bool swingHighDetected = high == ta.highest(high, swingLength * 2 + 1)
bool swingLowDetected = low == ta.lowest(low, swingLength * 2 + 1)
BOS vs CHoCH Logic:
// BOS: Break in direction of trend (continuation)
bool bullishBOS = close > lastSwingHigh and marketTrend >= 0
// CHoCH: Break against trend (reversal signal)
bool bullishCHOCH = close > lastSwingHigh and marketTrend < 0
Order Block Detection:
bool bullOB = close < open and // Previous candle bearish
close > open and // Current candle bullish
close > high and // Breaking above
(high - low) > ta.atr(14) * 1.5 // Strong impulse
Signal Types
HH (Higher High) - Swing high above previous swing high (bullish structure)
HL (Higher Low) - Swing low above previous swing low (bullish structure)
LH (Lower High) - Swing high below previous swing high (bearish structure)
LL (Lower Low) - Swing low below previous swing low (bearish structure)
BOS↑/BOS↓ - Break of structure in trend direction (continuation)
CHoCH↑/CHoCH↓ - Change of character against trend (potential reversal)
Dashboard Information
Trend - Current market bias (BULLISH/BEARISH/NEUTRAL)
Swing High - Last swing high price with HH/LH label
Swing Low - Last swing low price with HL/LL label
Structure - Current structure state (HH+HL, LH+LL, etc.)
Price - Price position relative to structure
How to Use This Indicator
For Trend Following:
1. Identify trend using structure (HH+HL = uptrend, LH+LL = downtrend)
2. Enter on BOS signals in trend direction
3. Use swing levels for stop placement
For Reversal Trading:
1. Watch for CHoCH signals (break against trend)
2. Confirm with order block formation
3. Enter on retest of order block zone
For Risk Management:
1. Place stops beyond swing highs/lows
2. Use structure lines as trailing stop references
3. Exit when CHoCH signals against your position
Input Parameters
Swing Detection Length (5) - Bars on each side for pivot detection
Show Swing High/Low Points (true) - Toggle swing markers
Show BOS/CHoCH (true) - Toggle structural break signals
Show Structure Lines (true) - Toggle horizontal swing lines
Show Order Blocks (true) - Toggle order block zones
Zone Extension (50) - How far order block boxes extend
Timeframe Recommendations
15m-1H: Good for intraday structure analysis
4H-Daily: Best for swing trading structure
Lower timeframes require smaller swing detection length
Limitations
Swing detection has inherent lag (needs confirmation bars)
Not all BOS/CHoCH signals lead to continuation/reversal
Order block zones are simplified (not full ICT methodology)
Structure analysis is subjective - different traders see different swings
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Market structure analysis does not guarantee trade outcomes. Always use proper risk management.
- Made with passion by officialjackofalltrades
Market Probability Dashboard📊 Market Probability Dashboard
Market Probability Dashboard is a context-driven analytical tool designed to help traders assess directional bias and market conditions using a probabilistic framework.
It does not generate buy/sell signals. Instead, it provides a structured view of bullish vs bearish probability, market regime, and execution readiness — allowing traders to make informed discretionary decisions.
🔍 What This Indicator Does
This indicator estimates the probability of directional movement in the market by combining:
Futures-based momentum and volatility (execution focus)
Spot-based structure and regime (context focus)
A bounded probability engine with adaptive caps
A visual state model for decision clarity
The output is a dashboard + histogram that summarizes market conditions in real time.
🧠 Probability Model (High-Level)
The probability engine follows these principles:
Baseline neutrality: Starts from 50%
Momentum adjustment: Futures EMA alignment nudges probability
Volatility awareness: Expanding volatility increases confidence
Regime control: Spot-derived regime limits probability extremes
Clamping: Probabilities are intentionally bounded to avoid overconfidence
All probabilities are relative, not predictive.
⏱ Timeframe Logic (Auto Mode)
When Auto Timeframe Engine is enabled:
Execution timeframe = chart timeframe
Context timeframe = automatically derived higher timeframe
Regime timeframe = higher-order structure timeframe
This design helps reduce confusion between execution vs context, especially for intraday traders.You may disable Auto Mode and use fixed timeframes if preferred.
📊 Visual Layout Explained
1️⃣ Probability Histogram (Bottom Pane)
Green bars → Bullish probability dominance
Red bars → Bearish probability dominance
Yellow zone (45–55) → No-trade / balance area
Bar opacity increases with conviction strength
This view helps you see how probability evolved historically, not just the latest value.
2️⃣ Dashboard Panel (Top-Right)
Field Meaning
ACTION Current market participation state
UP BIAS % Bullish probability (bounded)
MARKET MODE Regime derived from spot structure
TRADE TF Execution timeframe
CONTEXT TF Higher timeframe context
The table is intentionally minimal to remain readable on all chart sizes.
🧭 Decision State Logic (Interpretation Guide)
The indicator classifies conditions into states, not signals:
State Interpretation
NO-TRADE Balanced or range-bound conditions
SCALP-ALLOW Short-term participation possible with reduced expectations
TRADE-LIGHT Directional bias present, moderate conviction
TRADE-PRESS Strong alignment and momentum
EXIT Momentum deterioration or probability reversal
These are context labels, not trade instructions.
🧑💻 How to Use This Indicator
Best used as:
A bias filter before taking trades
A context layer alongside price action
A confidence gauge, not a trigger
Recommended pairing:
Price structure
Volume / VWAP
Personal risk rules
⚠️ Important Disclaimer
This indicator is for analytical and educational purposes only.It does not provide buy/sell signals.It does not predict future price. All probability values are estimates, not guarantees.Trading involves risk. Always validate decisions using your own analysis and risk management.
RVOL Highlighter (Bullish Volume Spikes)Description:
A simple yet powerful indicator that highlights candles with unusually high buying volume.
What it does:
Identifies candles where relative volume (RVOL) exceeds your chosen threshold AND the candle is bullish (green). These high-volume bullish candles often signal strong institutional buying interest or momentum breakouts.
How it works:
Calculates RVOL by comparing current volume to the simple moving average of volume over your selected period
Only highlights candles that meet BOTH conditions: RVOL above threshold + bullish close
Highlighted candles appear in bright magenta for easy visibility on dark mode charts
Settings:
RVOL Period: Lookback period for average volume calculation (default: 10)
RVOL Threshold: Minimum relative volume multiplier to trigger highlight (default: 2.5x)
Highlight Color: Customizable (default: magenta #FF00FF)
Use cases:
Spot potential breakout entries with volume confirmation
Identify accumulation zones
Filter for high-conviction bullish moves
Works on any timeframe and any asset. The actual RVOL value is available in the data window when hovering over candles.
MACD Bounce Strategy for CryptohopperSell and Buy alerts based on MACD crossover values for automated triggers in Cryptohopper
Onda Trend34 EMA cloud based on Insilico Trend Heuristic indicator.
34 Close Midline with the High/Low Cloud shaded in white/grey to match your screenshot.
Trend Warning / Direction (EMA20/50)Hier ist der Changelog-Text für die Veröffentlichung:
Update v1.1 – Optimized Signal Timing
Changes:
Warning triangles (yellow) now trigger in real-time for early detection of potential EMA crossovers
Crossover signals (green/red) now only confirm on candle close to prevent false signals
Removed confirmOnClose option as the optimal behavior is now built-in
Why this matters:
Get early warnings as soon as EMAs start converging – no waiting for candle close
Confirmed crossover signals won't repaint or disappear – what you see is final
Best of both worlds: speed for warnings, reliability for entries
MA Momentum Score by WizkaThis is my explorative study script which I have named as MA Momentum Score. It calculates one score number (-10,+10) to describe the price and MA structure. It gives points on the order and direction of price and three moving averages so that bullish order (Price>MA20>MA50>MA200) gives +1 point to each pair, and bearish order gives -1 point. There are 6 comparisons (price and 3 MAs against each other). Addition to this +1 point is given if the direction of each is upwards, and -1 if downwards. So, altogether score can be from -10p (fully bearish structure) to +10p (fully bullish structure). This is shown as blue line in the indicator. It uses classic SMAs of 20,50,200 and it is called Slow score. Next, the similar score is calculated for faster MAs (5,12,26) and it is called Fast score (orange line). Finally, the differential Fast-Slow is calculated and visualized as histogram. Green, when Fast>Slow (bullish), and Red, when Fast






















