RSI Rank by Financial 6-Pack | Toghrul AliyevTraditional RSI tells you where momentum stands on a fixed 0-100 scale. The RSI Rank by Financial 6-Pack indicator tells you where that reading stands relative to the asset's own history.
It’s significantly more accurate and precise than RSI on its own.
1. High Above % (>90%) readings warrant caution on new longs and consideration of profit-taking.
2. High Below % (>90%) readings signal historically oversold conditions worth monitoring for potential reversals. The indicator works across all timeframes and all assets.
Oscillators
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
Trend Cross Filter by Pooja⭐ Trend Cross Filter by Pooja
Trend Cross Filter by Pooja is a clean and efficient crossover-based entry tool designed to help traders identify momentum shifts with clarity. This indicator combines a fast RSI and a smoothed RSI-MA baseline with optional trend and volatility filters, allowing users to focus on higher-quality crossover signals.
The goal of this tool is to offer structured, easy-to-read entries without clutter or complexity. All signals appear directly on the chart using markers, making it suitable for intraday and short-term decision-making.
⭐ Key Features
🔶 1. RSI–MA Crossover Signals
Generates BUY/SELL signals when RSI crosses above or below its moving average.
Clean visual markers help highlight potential momentum changes.
🔶 2. Trend Strength Filter (Optional)
Uses a custom ADX calculation to allow signals only when trend strength meets the selected threshold.
🔶 3. Volatility Filter (ATR-Based)
An optional ATR/Price filter helps avoid signals during extremely low-volatility or flat periods.
🔶 4. RSI-MA Slope Filter
Allows users to accept only those signals where the slope of the RSI-MA indicates meaningful directional strength.
🔶 5. Minimum Bars Between Signals
Prevents back-to-back signals in noisy or sideways conditions.
🔶 6. Chart-Based Visual Signals
Signals appear directly on the price chart:
BUY markers for upward crossover
SELL markers for downward crossover
Users can choose between triangle or label-style signals.
🔶 7. Alert + Webhook Compatible
Built-in alert conditions for BUY and SELL signals.
Users can connect alerts to webhooks or automation tools if they wish.
🔶 8. Flexible Customization
All filters, thresholds, colors, and label styles can be adjusted easily based on personal preference.
⭐ How to Use
Add the indicator to your chart.
Choose your preferred signal style (Label / Triangle).
Enable or disable the ADX, ATR, or slope filters as needed.
Create TradingView alerts using the built-in BUY and SELL alert conditions if automation or notifications are required.
Combine signals with your own risk management and market analysis.
⭐ Notes
Works across multiple timeframes and different instruments.
Filtering options help reduce noise, but users should test settings based on their trading approach.
⚠️ Disclaimer
This indicator is a technical analysis tool created for educational and chart-analysis purposes.
It does not provide financial advice, does not guarantee profits, and should not be used as the sole basis for trading decisions.
Market conditions vary, and users are fully responsible for their own trades, risk management, and results.
Always test any tool or strategy on historical data or a demo environment before using in live markets.
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."
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.
USDT: Market cap changeUSDT: Market Cap Change
This indicator tracks the market capitalization changes of major stablecoins (USDT, USDC, and DAI) to help identify capital flows in the cryptocurrency market.
Features:
Monitor daily and custom period market cap changes for selected stablecoins
Configurable stablecoin selection (USDT, USDC, DAI)
Adjustable lookback period for measuring market cap changes
Multiple moving average types (SMA, EMA, HMA, WMA, RMA) for trend analysis
Visual representation with columns for daily changes and area fill for custom period changes
How to Use:
The indicator displays two main metrics: daily market cap change (shown as columns) and custom period change (shown as a line with area fill). Positive values indicate capital inflow into stablecoins, which may suggest accumulation or risk-off sentiment. Negative values indicate capital outflow, potentially signaling deployment into other crypto assets.
The moving average overlay helps identify trends in stablecoin market cap changes over time.
Settings:
Select which stablecoins to track
Adjust the lookback period (default: 60 days)
Toggle and configure the moving average overlay
Customize MA type and length
Data Source:
Uses Glassnode market capitalization data for USDT, USDC, and DAI on a daily timeframe.
Oscillator Suite [BackQuant]Oscillator Suite
Oscillator Suite is built for one job: turn live market noise into a readable sequence of conditions.
Not “one signal.” Not “one oscillator.” A coordinated set of modules that track momentum , money pressure , and agreement between them so you can see when moves have real backing, when they are fading, and when reversal conditions are worth treating as a serious event.
Why this suite feels different in live markets
This suite is designed to show the why behind the candle :
Is the move being driven or just drifting ?
Is participation accumulating or exiting ?
Are your components telling the same story , or is the market split?
When a reversal appears, is it a real shift in conditions or a random wiggle ?
The goal is simple: when components converge, you get higher clarity. When they diverge, you get a warning before price makes it obvious.
How to read the suite in order
If you want the indicator to feel “alive” instead of confusing, use this order of operations:
Money Flow for pressure and participation
Momentum Ribbon for direction and shift timing
Confluence to measure agreement and regime quality
Reversals to mark turning points inside those regimes
Divergences for early “engine weakness” warnings
Bar Coloring to project the whole read onto price
Money Flow (pressure, accumulation, and the “truth layer”)
The Money Flow wave is your context filter. It exists to separate:
A push that has real buy-side pressure behind it
A move that looks bullish but has weak participation
A selloff that is heavy distribution
A dip where selling is running out of fuel
This is where the suite becomes practical. You can watch money flow transition from heavy selling to stabilization and then to early accumulation. Those transitions are where many of the best trades are born because the crowd is still reacting to the last move while conditions are already shifting.
Money Flow showing strong accumulation behavior:
Momentum Ribbon (the timing engine)
Momentum Ribbon is designed to lead. It is your “timing layer” that reads the market’s directional energy and highlights meaningful shifts.
The ribbon changes character when momentum strength changes, not after the fact.
The signal line smoothing lets you choose how sharp or how filtered your momentum read should be.
Crossover/crossunder events are emphasized so you can spot momentum flips without hunting.
In live markets, this is what you watch when price is chopping. The ribbon will often show when momentum is actually resolving even if price looks messy for a few candles.
Momentum Ribbon with longer-term momentum alignment influence:
Confluence Zones (regimes, not random signals)
Confluence zones are the difference between “I saw a signal” and “I saw conditions.”
They highlight when Momentum and Money Flow are aligned and when they are fighting each other.
Bullish confluence means momentum is constructive and pressure supports it.
Bearish confluence means momentum is bearish and selling pressure supports it.
Mixed conditions mean you should expect chop, fakeouts, and low follow-through unless a transition is underway.
This is how you stop forcing trades. When confluence is strong, you can hold with more confidence. When confluence fades, you tighten expectations and demand better structure or confirmation.
Reversal Signals (turning points that matter when the environment agrees)
Reversal signals are not meant to be blind buy/sell commands. They are “pay attention” events designed to become high value when stacked with the suite’s context.
You will see two main behaviors:
“ℝ” labels marking stronger reversal events near the extreme bands
Cross markers that can appear more frequently to highlight earlier swing warnings
Here’s the live-market mindset:
A reversal print during heavy opposing pressure is often just a pause.
A reversal print when money flow pressure is weakening or shifting is a different animal.
A reversal print as confluence transitions is where dips and tops become actionable ideas rather than guesses.
Strong reversal examples:
Reversals used to catch dips and sell strong turns:
Divergences (selective, threshold-based, and meant to reduce noise)
Divergences in this suite are designed to appear when momentum is meaningfully extended, so you’re not flooded with low-quality divergence spam in the middle of ranges.
What divergence is used for here:
Spot “engine weakness” when price attempts to extend but momentum does not match.
Warn you early so you can manage risk before the obvious reversal candle shows up.
Help you identify when a trend is losing quality, especially when confluence begins fading.
This becomes especially powerful when you treat divergence as step one, then look for step two:
Momentum ribbon begins to shift
Money flow pressure eases or flips
Confluence transitions
A reversal marker appears at a meaningful location
Momentum Velocity (longer-term push vs pull insight)
Momentum Velocity adds a second momentum lens that is slower and more “structural.” It helps you see whether the broader momentum environment is supporting what the ribbon is doing.
How traders use this in practice:
As a “permission layer” to avoid fighting stronger background pressure.
To confirm when momentum shifts are likely to hold, not just flip for a bar.
To spot when short-term momentum is turning inside a larger supportive environment.
Momentum Ribbon leading with added longer-term momentum confluence:
Bar Coloring (put the suite onto price)
Bar coloring exists for one reason: speed. It projects the suite’s current read directly onto candles so you can process conditions without staring at the panel nonstop.
Modes include:
Momentum direction
Momentum above/below midline
MFI above/below midline
Confluence (Momentum + Money Flow)
Strong Confluence Only
Momentum Velocity
Strong confluence coloring can help you stop taking trades in mixed conditions and focus on the regimes that actually trend or mean-revert with quality.
Multiple bar coloring methods:
Practical playbooks
1) Trend participation without chasing
Start with confluence. Only get aggressive when the suite shows agreement.
Use the ribbon to time entries on momentum shifts instead of random candles.
Use money flow to confirm that the trend has real pressure behind it.
When confluence fades, manage tighter. That is where follow-through weakens.
2) Dip catching that is not blind
Let price pull back while you watch money flow pressure.
If selling pressure is still heavy, you are early. If it is easing, you are getting close.
When a reversal appears, check whether momentum is stabilizing or flipping.
Best dips often show up during a confluence transition, not when everything is still bearish.
3) Selling tops without guessing
Watch for momentum weakening while price tries to extend.
Divergence becomes your first warning when conditions are stretched.
If confluence fades and money flow begins shifting, reversal signals become high-interest events.
This sequence is how you catch “strong reversals,” not random pullbacks.
Settings that matter (what to tune and why)
Momentum Calculation Period
Lower: faster, more reactive, more signals
Higher: smoother, fewer signals, cleaner regimes
Signal Line Type + Smoothing
More smoothing: cleaner shifts, less noise
Less smoothing: earlier shifts, more activity
MFI Calculation + Smoothing
Lower: faster pressure read
Higher: clearer accumulation/distribution structure
Divergence Threshold
Lower: more divergence events (shorter-term)
Higher: fewer events (more selective, longer-term)
Reversal Factor
Lower: more reversal events
Higher: fewer, stronger events through heavier filtering
How to know you are reading it right
When you get comfortable, you will start noticing the suite produces “states,” not random prints:
State: strong bullish agreement -> momentum drives, pressure supports, candles align.
State: bullish but weakening -> momentum begins fading, pressure cools, divergence may warn.
State: mixed -> more fakeouts, fewer clean runs, demand stronger confirmation.
State: transition -> this is where the best reversals and dip catches often appear.
State: strong bearish agreement -> downside pressure is real, short-side regimes behave cleaner.
If you trade based on states instead of isolated signals, the suite stops being “an indicator” and becomes a live market interpreter.
Risk disclaimer
Trading involves risk. This tool provides informational signals and visual context. Always confirm with structure/levels and use proper risk management.
Trader Otto - QQA Matrix - Quant/Quali Analysis SystemTrader Otto - QQA Matrix - Quant/Quali Analysis is a sophisticated multi-engine signal system that combines quantitative momentum analysis with qualitative market structure validation (Smart Money Concepts) and trend filtering.
**Core System Architecture:**
The QQA Matrix operates through a four-layer decision framework:
1. **Signal Engine (Dual Motor):** Choose between Adaptive RSI (volatility-adjusted momentum with WWMA smoothing) or Inverse Fisher Transform (statistical oscillator with HMA normalization). Both engines detect high-probability momentum shifts with minimal lag.
2. **Context Layer (SMC Filter):** Validates signals only when price interacts with institutional zones - Fair Value Gaps (FVG) and Order Blocks (OB) - using pivot-based detection and ATR filtering to identify genuine liquidity areas.
3. **Trend Filter (HalfTrend V18):** Optional safety mechanism using amplitude-based trend detection with dual-deviation channels. Filters counter-trend signals to align with dominant market direction.
4. **Confluence Engine:** Employs adjustable time-window tolerance (default 3 bars) to allow slight timing mismatches between trigger and context, capturing confluences that rigid systems miss.
**Key Features:**
- **Dual Engine Selection:** Switch between Adaptive RSI (range-bound markets) and Inverse Fisher (trending markets) without changing charts
- **Smart Money Validation:** Signals fire only inside institutional zones (FVG/OB), avoiding random entries
- **Trend Safety Toggle:** Enable/disable trend filter based on your trading style (scalping vs swing)
- **Transparent Parameters:** All engine settings exposed in Advanced Configuration - no hidden values
- **Low Repaint Risk:** Uses confirmed bar logic and lookback buffers for stable signals
**Best Practices:**
- **Scalping (1-5min):** Use Inverse Fisher + Trend Filter OFF for faster entries
- **Intraday (15-60min):** Use Adaptive RSI + Trend Filter ON for higher win rate
- **Swing (4H-Daily):** Use Adaptive RSI + Trend Filter ON + wider Tolerance (5 bars)
**Technical Notes:**
- FVG Detection: 3-candle pattern (current low > high for bullish)
- Order Blocks: Pivot-based with ATR size filter (default 3.0x) to eliminate noise
- HalfTrend: Amplitude-based algorithm with SMA confirmation, not standard channel deviation
- Signal Cooldown: Built-in array cleanup prevents signal spam from expired zones
**Recommended Pairs:**
Works best on liquid markets with clear institutional footprint: ES, NQ, BTC, EUR/USD, GBP/USD, and index futures (WIN, WDO on B3).
This is an educational tool. Always backtest parameters for your specific market and timeframe before live trading.
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth
The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods.
Key Features
Sigmoid normalization using ArcTan function for bounded output (-100 to +100)
Adaptive momentum calculation with standard deviation normalization
Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals
Dynamic color-coded visualization for instant trend recognition
Zero-line crossover signals with plotted reversal markers
Extreme zone highlighting for overbought/oversold conditions
How It Works
The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded.
os = atan(z × intensity) × 63.66
The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50.
Trading Ideas and Insights
Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below
Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes
Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals
Combine with price action analysis when the oscillator reaches boundary zones
How Multiple Indicators Work Together
The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction.
Unique Aspects
Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions.
How to Use
Add the indicator to your chart as a separate pane
Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals
Use the ±50 boundary zones and background highlighting to identify overextended conditions
Enable the Vortex Mesh to visualize trend strength and momentum consensus
Customization
Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness
Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster
Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise
Enable Vortex Mesh : Toggle the layered visualization effect
Color Settings : Customize bullish, bearish, and neutral colors
Conclusion
The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
AlphaStrike: Zen ModeDescription:
1. The Philosophy: Reducing Cognitive Load Modern charts are often cluttered with dozens of noisy lines (Bollinger Bands, Moving Averages, Oscillators) that lead to "Analysis Paralysis." This script is designed with a "Zen" philosophy: P rocess the complexity in the background, but display only the decision.
This is not a simple indicator overlay. It is a Risk-Based Trading Engine that runs multiple validation checks (Momentum, Volatility, and Price Action) simultaneously but hides the underlying calculations to keep the chart clean. It focuses the trader's attention on the two things that matter most: Trend Direction and Position Sizing.
2. The "Invisible" Technical Engine The script operates on a Dual-State Logic system that adapts to market conditions. It uses standard indicators as filters, not just visuals.
A. Trend State (The Backbone) The script calculates a volatility-adjusted Trend Baseline (SuperTrend).
Green State: The market is in a markup phase. The script looks for continuation.
Red State: The market is in a markdown phase. The script looks for defense.
B. The "Confluence" Reversal Logic Instead of cluttering the screen with Bollinger Bands and RSI windows, the script performs these checks internally:
Condition 1 (Volatility): Is price extending beyond the 2.0 Standard Deviation (Bollinger Lower/Upper)?
Condition 2 (Momentum): Is RSI overextended (<35 or >65)?
Condition 3 (Price Action): Is there a specific Pin Bar candle pattern (Long wick rejection)?
Result: Only when all three conditions align does the script print a "Reversal Circle." This filters out weak signals that usually occur in strong trends.
3. The Risk Management Calculator (Key Feature) Most traders fail not because of bad entries, but because of inconsistent sizing. This script features a built-in Dynamic Position Sizing Dashboard located in the bottom right.
Adaptive Stop Loss:
In a Trend: The Stop Loss is automatically set to the Trend Line (SuperTrend).
In a Reversal: The script internally scans for the nearest Swing Low/High (using hidden Pivot calculations) and sets the Stop Loss there.
Position Sizing Math: The dashboard reads your Account Size and Risk % inputs. It instantly calculates the "Max Size" (contract/share amount) allowed for the current trade.
Formula: Position Size = (Account Value * Risk %) / Distance to Stop.
Benefit: This ensures you risk the exact same dollar amount on every trade, whether the stop loss is 1% away or 10% away.
4. How to Read the Signals
Triangles (Breakouts): These represent a shift in the dominant trend direction.
Green Triangle: Bullish Trend Start.
Red Triangle: Bearish Trend Start.
Circles (Mean Reversion): These are high-probability counter-trend plays.
Blue Circle: Buy Reversal (Oversold + Pinbar + Bollinger Support).
Orange Circle: Sell Reversal (Overbought + Pinbar + Bollinger Resistance).
5. Settings
Trend Settings: Adjust the ATR Period and Factor to change the sensitivity of the trend line.
Reversal Settings: Tweak the RSI and Bollinger thresholds to filter out more/less signals.
Risk Management: Input your total Account Size and desired Risk Per Trade (e.g., 1%) to calibrate the Dashboard.
Disclaimer This tool provides algorithmic analysis and risk calculations. It does not guarantee profits or provide financial advice. Always verify position sizes before executing.
BE-QuantFlow: Adaptive Momentum Trading█ Overview: QuantFlow: Adaptive Momentum Trading
QuantFlow is a sophisticated algorithmic momentum trading method designed specifically for indices and high-beta stocks. However, its logic is universal; with appropriate parameter tuning, it adapts to various asset classes and timeframes.
While the standard momentum indicators (like RSI or MACD) simply measure how fast price is moving (Velocity), QuantFlow analyzes the quality and conviction of the trend . Features like Dynamic Volatility Filtering and Trend Shielding, combined with volatility weighting and a "Dual-Line" approach to distinguish between a sustainable institutional trend and a temporary retail spike, make the indicator unique and more powerful.
█ Why QuantFlow ?
Quant (The Engine): This replaces subjective guessing with objective math.
Instead of just seeing that the price is "up," we measure "how it got there". For example, a stock that rises 1 currency value every day for 10 days (smooth trend) gets a much higher score than a stock that jumps 10 currency value in one minute and does nothing else (erratic noise). This mathematical rigor provides the structure.
█ Core Logic & Philosophy
To understand how QuantFlow calculates momentum, imagine a "Tug-of-War" between Buyers (Bulls) and Sellers (Bears). Most indicators (like RSI) use a single line. If RSI is at 50, it means "Neutral." But "Neutral" can mean two very different things:
Peace: Nothing is happening. No one is buying or selling.
War: Buyers are pushing hard, but Sellers are pushing back equally hard. Volatility is massive.
A single line hides this reality. QuantFlow splits the market into two separate scores:
Bull Score (Green Line): How hard are the buyers pushing?
Bear Score (Red Line): How hard are the sellers pushing?
The Layman's Advantage:
If both lines are low = Sleepy Market (Avoid).
If Green is high and Red is low = Clean Uptrend (Buy).
If Red is high and Green is low = Clean Downtrend (Sell).
If both lines are high = Chaos/War Zone (Wait).
█ How it Weight "Sustenance" (The Critical Quality Check)
This is the most unique aspect of QuantFlow: Trend direction alone is not enough; Sustenance is weighed equally . Standard indicators treat every 10 currency value movements the same way with no distinction. However, QuantFlow asks, "Did you hold the ground you gained?"
Scenario A (High Sustenance) : A stock opens at 100, marches to 110, and closes at 110.
Verdict : Buyers pushed up and sustained the price.
QuantFlow Weight : 100%. This is a high-quality move.
Scenario B (Low Sustenance) : A stock opens at 100, spikes to 110, but gets sold off to close at 102.
Verdict : Buyers pushed up (Trend is Up), but failed to sustain it (Long Wick).
QuantFlow Weight : 20%. This is treated as "Noise" or a trap.
By mathematically weighing the Close Location Value (where the candle closes relative to its high/low), QuantFlow filters out "Gap-and-Fade" traps and exhaustion spikes that fool traditional indicators.
Comparisons: QuantFlow vs. The Rest
Calculation Logic : Standard RSI/MACD measures simple price change over time. QuantFlow measures Price Change 'times (x)' Conviction (Sustenance Weighting).
Visual Output : Standard tools show a single line (0-100), often hiding market conflict. QuantFlow displays Dual Lines (Bull vs Bear Intensity) to reveal the true state of the battle.
Trap Handling : Standard indicators are often fooled by sharp spikes. QuantFlow ignores "Gap-and-Fade" moves with poor closing conviction.
Adaptability : Standard tools use static levels (e.g., Overbought > 70). QuantFlow uses Dynamic Bands that adjust automatically to recent volatility.
█ Dynamic Volatility Filtering
Unlike standard indicators that use fixed levels (e.g., "Buy if RSI > 50"), QuantFlow acknowledges that "50" means something different in a quiet market versus a crashing market. This section explains the statistical engine driving the signals.
The Problem with Static Levels : In a low-volatility environment, a momentum score of 55 might indicate a massive breakout. In a high-volatility environment, a score of 55 might just be random noise. A fixed threshold cannot handle both scenarios.
The Solution: Adaptive Statistics : The script maintains a memory of the Momentum Events. It doesn't just look at price; it looks at where the momentum occurred in the past and draws a "Noise Zone" (Grey Band). This logic acts as a "Smart Gatekeeper" for trade entries:
Scenario A: Inside the Noise (The Filter)
If a new momentum signal happens inside the Noise Zone, the script assumes it is likely chop or noise.
Action : It forces a wait period. The signal is delayed until the trend sustains itself for Confirm Bars; else the signal is cancelled. This filters out ~70% of false signals in sideways markets.
Scenario B: Outside the Noise (The Breakout)
If a new momentum signal happens outside the Noise Zone (or the momentum score smashes through the Upper Band), it is statistically significant (an outlier event).
Action: It triggers an Immediate Entry. No waiting is required because the move is powerful enough to escape the historical noise zone.
█ The ⚠️ "Warning" System (Heads-up for Smart Reversals)
While you are directional if there is potential reversal signal, it provides the heads-up warning for a better decision-making
█ Special Utility: Ghost Mode
For intraday traders, the biggest disruption to "Flow" is the mandatory broker square-off at 3:15 PM (considering Indian Market). Often, a trend continues overnight, and the trader misses the gap-up opening the next morning because their algo was flat.
Ghost Mode is a unique feature that runs silently in the background:
At Square-off: The strategy closes your official position to satisfy the broker.
In the Background: It keeps the trade "alive" virtually (Ghost).
Next Morning: If the market opens in the trend's favor, the strategy re-enters the trade automatically. This approach ensures you capture the full swing of the trend, even if you are forced to exit at the previous session.
█ Advice on this indicator:
Parameter Calibration: The default settings are optimized for BankNifty on 5-minute charts. If you trade stocks, crypto, commodities, or any higher timeframes (e.g., 15-min or hourly), you must adjust these.
Low Volatility Assets: Reduce Stop Multiplier to 2.0.
High Volatility Assets: Increase Momentum Lookback to 50 to filter noise.
Confluence (Additional Confirmation): While QuantFlow is a complete system, using it alongside Key Support/Resistance Levels or Volume Profile provides the highest probability setups.
Hull DMI - MattesHull DMI - Mattes
A Directional Movement Index enhanced with Hull Moving Average smoothing for refined trend detection.
This indicator reimagines the classic Directional Movement Index (DMI) by incorporating Hull Moving Average (HMA) smoothing on high and low prices. It calculates the +DI and -DI components based on changes in these hulled values, then derives the ADX for trend strength. The core plot displays the difference between +DI and -DI, colored to indicate bullish (blue) or bearish (purple) dominance when ADX is rising. Additionally, it overlays colored candles on the price chart to visually represent the prevailing trend direction.
Key Features:
Hull-Smoothed Inputs: Applies HMA to highs and lows before computing directional changes, reducing noise and lag compared to standard DMI.
Customizable Lengths: Adjustable periods for HMA, DI, and ADX smoothing to suit various timeframes and assets.
Trend Visualization: Plots DI difference with dynamic coloring and overlays trend-colored candles for at-a-glance analysis.
Alert Conditions: Built-in alerts for long (bullish) and short (bearish) signals when conditions shift.
How It Differs from Standard DMI/ADX:
Unlike the traditional DMI, which uses raw price changes and true range, this version employs Hull Moving Averages on highs and lows for smoother, more responsive directional calculations. This minimizes whipsaws in choppy markets while preserving sensitivity to genuine trends. The ADX is integrated to filter signals, ensuring color changes and alerts only occur during strengthening trends, setting it apart from basic oscillator-based indicators. Why It's Useful:
Enhanced Trend Identification: The HMA smoothing provides clearer signals in volatile environments, helping traders spot emerging trends earlier.
Visual Clarity: Colored DI plot and candle overlays make it easy to interpret market bias without cluttering the chart.
Versatility: Suitable for stocks, forex, crypto, and more; excels in trend-following strategies or as a filter for other systems.
Risk Management Aid: By focusing on ADX-confirmed moves, it reduces false signals, potentially improving win rates in systematic trading.
This Hull DMI variant offers several practical advantages that can directly improve trading decisions and performance:
Reduced Lag with Smoother Signals: By applying Hull Moving Average smoothing to highs and lows, the indicator responds faster to genuine trend changes than the standard DMI while filtering out much of the noise that causes false signals in ranging or choppy markets. Traders get earlier entries into trending moves without excessive whipsaws.
Built-in Trend Strength Filter: The optional ADX confirmation (enabled by default) ensures bullish signals and blue coloring only activate when trend strength is increasing (ADX rising). This helps traders avoid entering long positions during weakening or sideways trends, focusing capital on higher-probability setups.
Clear Visual Bias at a Glance: The single oscillator line (+DI – -DI) centered on zero, combined with dynamic blue/purple coloring and full candle overlay on the price chart, instantly shows the dominant trend direction. No need to interpret multiple lines—traders can quickly assess market bias across multiple charts or timeframes.
Versatile Across Markets and Styles: Works effectively on stocks, forex, futures, and cryptocurrencies. Trend-following traders can use it standalone for entries/exits, swing traders can use it for bias confirmation, and scalpers/day traders benefit on lower timeframes due to the reduced lag.
Improved Risk Management: By prioritizing ADX-confirmed directional moves, the indicator naturally filters low-conviction setups. This can lead to higher win rates and better risk-reward ratios when used systematically, especially when combined with proper stop-loss placement below/above recent swings.
Easy Integration: Built-in alert conditions and simple long/short logic make it straightforward to incorporate into automated strategies, watchlists, or as a confirming filter alongside other indicators (e.g., moving averages, RSI, volume profile).
Customizable Sensitivity: Separate inputs for Hull length, DI period, and ADX smoothing allow traders to optimize the indicator for specific assets, volatility regimes, or personal trading horizons—making it adaptable rather than one-size-fits-all.
Signals & Interpretation
The oscillator plots the difference between +DI and -DI (positive = bullish dominance, negative = bearish).
Bullish Signal (Long): +DI crosses above -DI, and (if ADX confirmation enabled) ADX is rising — triggers blue coloring, candle overlay, and long alert.
Bearish Signal (Short): -DI crosses above +DI — triggers purple coloring, candle overlay, and short alert.
Zero line acts as neutrality; crossings indicate potential trend shifts.
Best used in trending markets; ADX rising filter helps avoid whipsaws.
// Example Usage in Strategy
strategy("Hull DMI Strategy Example", overlay=true)
if L
strategy.entry("Long", strategy.long)
if S
strategy.entry("Short", strategy.short)
Great Inventions Require great care
Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. Always backtest thoroughly on your specific assets and timeframes, and consult a qualified financial advisor before making trading decisions. The author assumes no responsibility for any losses incurred from its use.
Estado Coral + SAR + RSIWhen the price is above the SAR level, the Coral level is positive, and the RSI is above 57, a green buy candle is generated. If the SAR and Coral are negative and the RSI is below 38, a red sell bar is generated.
Estado Coral + SAR + RSIWhen the price is above the SAR level, the Coral level is positive, and the RSI is above 57, a green buy candle is generated. If the SAR and Coral are negative and the RSI is below 38, a red sell bar is generated.
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.
VMDivergencesTH Volume Momentum Divergences - How It Works
🎯 Overview
This indicator detects divergences between price action and a custom momentum oscillator. Divergences occur when price moves one direction while momentum moves the opposite direction — often signaling potential reversals or trend continuations.
⚙️ The Hidden Oscillator Engine
The oscillator runs in the background (not plotted on chart) and combines two components:
Component 1: Momentum (MACD-style)
Momentum = Fast EMA(12) - Slow EMA(26)
Measures the difference between a fast and slow exponential moving average. Positive = bullish momentum, Negative = bearish momentum.
Component 2: Bollinger Band Distance
Distance = (Price - BB Middle) / Standard Deviation
Measures how far price has strayed from its "normal" range. Values > 2 = overbought territory, Values < -2 = oversold territory.
Hybrid Blend
Final Oscillator = (Normalized Momentum × Blend) + (Band Distance × (1 - Blend))
The Momentum Blend setting (default 1.0) controls the mix:
1.0 = Pure momentum (like MACD)
0.0 = Pure band distance (like Bollinger %B)
0.5 = Equal blend of both
🔍 Pivot Detection
The indicator identifies swing highs and swing lows on both:
Price (using high and low)
Oscillator (using the hybrid oscillator value)
How Pivots Are Found
text
Swing High = A bar where the high is higher than X bars on BOTH sides
Swing Low = A bar where the low is lower than X bars on BOTH sides
The Swing Strength setting (default 5) controls how many bars on each side are required:
Lower values (2-3) = More pivots, more signals, more noise
Higher values (7-10) = Fewer pivots, fewer signals, higher quality
🔀 Divergence Types Explained
1. 🟢 Regular Bullish Divergence (Reversal Signal)
Price: Lower Low ↘ (making new lows)
Oscillator: Higher Low ↗ (momentum improving)
Meaning: Price is falling but momentum is building. The selling pressure is weakening — potential bottom forming.
Visual: Green triangle below bar + solid line connecting lows
2. 🔴 Regular Bearish Divergence (Reversal Signal)
text
Price: Higher High ↗ (making new highs)
Oscillator: Lower High ↘ (momentum fading)
Meaning: Price is rising but momentum is declining. The buying pressure is weakening — potential top forming.
Visual: Red triangle above bar + solid line connecting highs
3. 🟡 Hidden Bullish Divergence (Continuation Signal)
text
Price: Higher Low ↗ (holding above previous low)
Oscillator: Lower Low ↘ (momentum dipped)
Meaning: In an uptrend, price made a higher low but oscillator made a lower low. The oscillator "reset" while price held strong — trend likely to continue UP.
Visual: Green diamond below bar + dashed line
4. 🟠 Hidden Bearish Divergence (Continuation Signal)
text
Price: Lower High ↘ (staying below previous high)
Oscillator: Higher High ↗ (momentum bounced)
Meaning: In a downtrend, price made a lower high but oscillator made a higher high. The oscillator bounced but price couldn't — trend likely to continue DOWN.
Visual: Red diamond above bar + dashed line
5. 🔵 Double Bottom with Divergence (Strong Support)
text
Price: Two lows at SIMILAR levels (within ATR tolerance)
Oscillator: Second low HIGHER than first
Meaning: Price tested the same support twice, but momentum was stronger on the second test — buyers defending that level aggressively.
Visual: Cyan circle below bar + dotted line
6. 🟣 Double Top with Divergence (Strong Resistance)
text
Price: Two highs at SIMILAR levels (within ATR tolerance)
Oscillator: Second high LOWER than first
Meaning: Price tested the same resistance twice, but momentum was weaker on the second test — sellers defending that level.
Visual: Purple circle above bar + dotted line
✅ Validation Filters
Not every pivot pair creates a signal. The indicator applies filters:
Filter Purpose
Min Pivot Distance (default 5) Pivots must be at least 5 bars apart — prevents micro-divergences
Max Pivot Distance (default 50) Pivots must be within 50 bars — prevents stale/irrelevant divergences
DTB Tolerance (default 0.3 × ATR) For double top/bottom, price levels must be within 30% of ATR
📊 Visual Elements
Element Description
Markers Shapes above/below candles when divergence triggers
Lines Connect the two pivot points involved in the divergence
Labels Text tags showing divergence type (REG, HID, DBL)
Glow Effect Thicker semi-transparent line behind main line
Background Flash Brief color flash on signal bar
Status Panel Real-time table showing oscillator value and active signals
🧠 Trading Logic Summary
┌──────────────────────────────────────────────────────────┐
│ DIVERGENCE CHEAT SHEET │
├──────────────────────────────────────────────────────────┤
│ REGULAR BULLISH │ Price ↘ Osc ↗ │ Look for LONGS │
│ REGULAR BEARISH │ Price ↗ Osc ↘ │ Look for SHORTS │
│ HIDDEN BULLISH │ Price ↗ Osc ↘ │ Add to LONGS │
│ HIDDEN BEARISH │ Price ↘ Osc ↗ │ Add to SHORTS │
│ DOUBLE BOTTOM │ Same low, Osc ↗ │ Strong SUPPORT │
│ DOUBLE TOP │ Same high, Osc ↘ │ Strong RESISTANCE │
└──────────────────────────────────────────────────────────┘
[CT] Trend Pulse Oscillator Trend Pulse Oscillator is a clean, responsive trend and momentum oscillator that measures directional pressure by comparing a fast EMA to a slow EMA, then normalizing that spread by ATR so the reading stays consistent across different symbols and volatility regimes. Instead of relying on percentile bands or fixed overbought, oversold logic from legacy oscillators, this indicator converts the EMA spread into a smooth 0–100 signal that behaves like a “trend intensity meter,” where 50 acts as the neutral midpoint, values above 50 reflect bullish dominance, and values below 50 reflect bearish dominance. Because the core input is the distance between two EMAs, it naturally tracks trend alignment, and because it is volatility-normalized, it avoids becoming overly sensitive during high volatility or too sluggish during quiet conditions.
The engine begins by calculating a fast EMA and a slow EMA on your selected source, then computing the spread between them. That spread alone can be misleading across markets because the same raw distance means different things in low volatility versus high volatility environments, so the script divides the spread by ATR to create a normalized value that represents how meaningful the trend separation is relative to typical movement. Once the spread is normalized, the indicator applies a bounded mapping using an arctangent transform, which is a stable way to compress extreme values while preserving sensitivity near the midpoint. This produces a smooth oscillator that stays in a predictable 0–100 range without hard clamping, and it keeps the transitions realistic even when price accelerates strongly. The Speed setting is the main sensitivity control, where higher values make the oscillator respond faster and flip states more quickly, and lower values slow the response, reduce noise, and produce fewer regime changes.
A signal line is then applied to the oscillator using an EMA, creating a two-line framework that is easy to trade. The oscillator line represents the current trend pressure state, while the signal line represents the smoothed baseline of that pressure. The primary decision point is the relationship between the oscillator and the signal, where oscillator above signal indicates improving bullish pressure and oscillator below signal indicates improving bearish pressure. This relationship is also used to drive the visual state of the indicator so the chart feedback matches the current bias. The indicator additionally computes a Pulse histogram as the difference between the oscillator and the signal line, which helps you quickly see when momentum is expanding or contracting. When the histogram grows in the bullish direction, pressure is strengthening above the baseline, and when it contracts toward zero, pressure is fading and conditions are becoming more balanced.
The visual layer is built to make bias and transitions obvious without clutter. You can enable a fill between the oscillator and the signal line that changes color based on whether the oscillator is above or below the signal, so the “state” is visible even at a glance. The Pulse histogram can be shown to highlight the size of the separation between the oscillator and the signal, which is useful for spotting early momentum shifts, confirming continuation, or identifying when a move is losing energy. The indicator includes standard level guides with a midpoint at 50 and optional overbought and oversold thresholds, which can help you contextualize stronger pushes away from neutral. These levels are best treated as context rather than automatic reversal triggers, because this tool is designed to track trend pressure first, and it can remain elevated or depressed for extended periods during strong directional moves.
For traders who like a unified view, there is an optional setting to color price bars based on the oscillator state relative to the signal line. When enabled, candles will reflect bullish bias when the oscillator is above the signal and bearish bias when below, aligning your chart’s candle colors with the same logic driving the oscillator’s state. This makes it easy to stay consistent with your bias filter without constantly checking the panel. The indicator also includes alert conditions focused on the core events traders care about, including oscillator crosses of the signal line, crosses of the 50 midpoint, and crosses of the overbought and oversold levels, so you can automate notifications for regime shifts, momentum changes, and stronger pressure conditions.
In practical use, Trend Pulse Oscillator is most effective as a bias and timing tool. When the oscillator holds above 50 and repeatedly stays above its signal line, it reflects persistent bullish pressure where pullbacks are more likely to be continuation opportunities. When the oscillator holds below 50 and stays below its signal line, it reflects persistent bearish pressure where rallies are more likely to be corrective. The most valuable information often comes from how cleanly the oscillator can stay on the correct side of its signal and whether the Pulse histogram expands during breaks and contractions, because that combination helps separate real trend continuation from choppy rotation.
[CT] Adaptive Trend Pressure (Percentile) Adaptive Trend Pressure (Percentile) is a centered, percentile-based trend and momentum pressure gauge designed to show you whether price is behaving more like it is pushing into the upper end of its recent distribution or slipping toward the lower end. Instead of using a fixed lookback oscillator formula, it builds an adaptive “range” from percentile bands that constantly adjust to the market’s recent behavior. That makes the reading more context-aware than many traditional oscillators, because the indicator is measuring where current price sits relative to an evolving statistical envelope rather than a static high/low window. The output is a pressure value that naturally expands when price action is persistently pressing toward the upper percentile band and contracts or turns negative when price is leaning toward the lower percentile band, which helps you read both direction and the quality of participation behind that direction.
The core engine starts by modeling a dynamic band around price using a volatility component. Volatility is measured with standard deviation over a short window, then scaled by a multiplier, and that volatility-adjusted value is added to and subtracted from the selected source to create an upper and lower “series.” Those two series are then run through a percentile calculation over the chosen trend length and sensitivity setting. The indicator finds the upper percentile of the upper series and the lower percentile of the lower series, creating an adaptive envelope that reflects both price location and recent volatility conditions. Once those percentile boundaries are established, the script converts the current source into a normalized oscillator by measuring how far it is between the lower and upper percentiles. That produces a bounded 0–100 reading that rises when price is persistently positioned near the top of the envelope and falls when price is positioned near the bottom, and it avoids distortions by protecting against division by extremely small ranges.
To make the output easier to trade, the indicator converts the 0–100 oscillator into a centered pressure line by subtracting 50. This creates a clean zero-line framework where positive pressure means the market is behaving with an upper-distribution bias and negative pressure means the market is behaving with a lower-distribution bias. The zero line becomes the primary regime divider and is intentionally simple to interpret in real time. When pressure stays above zero, you are generally seeing conditions consistent with bullish control, and when it stays below zero, you are generally seeing conditions consistent with bearish control. Because it is centered, you can also quickly judge the intensity of pressure by how far the histogram extends away from zero, which helps separate shallow drift from meaningful push.
A signal line is included and is computed as an EMA of the centered pressure value. This line is meant to smooth out the raw fluctuations and give you a second reference for timing and confirmation. When pressure is above the signal line, momentum is improving relative to its recent baseline, and when pressure is below the signal line, momentum is weakening. Crosses of pressure through the signal can be used as earlier timing cues, while the zero-line framework can be used as the higher-level bias filter. In practice, many traders will treat sustained pressure above zero as the directional environment and then use the signal relationship to help choose entries on pullbacks or to recognize when momentum is fading.
The indicator also includes optional zone guides that frame where “higher pressure” and “lower pressure” tend to become more meaningful. These zones are centered values, so the default upper zone corresponds to the same concept as an oscillator reading above roughly 75 on a 0–100 scale, and the default lower zone corresponds to roughly 25 on a 0–100 scale. When pressure pushes into the upper zone, it suggests the market is not only bullish-biased but doing so with stronger persistence, and when pressure pushes into the lower zone, it suggests stronger bearish persistence. The zone fill is a visual context rather than a standalone signal, and it is best used to identify when momentum is extended, when a trend is accelerating, or when mean-reversion risk may start rising, depending on your style.
By default, the plot is a histogram so you can read pressure as a “push” above or below zero. The histogram coloring can be enabled to make positive bars appear green and negative bars appear red, which reinforces the centered framework and keeps your attention on regime and intensity. If you prefer a cleaner look, you can switch to a line display while keeping the same calculations underneath. There is also an optional setting to color the actual price bars to match the histogram direction, which makes the bias visible on the main chart at a glance. When enabled, candles will adopt the bullish color when pressure is at or above zero and the bearish color when pressure is below zero, giving you a consistent visual alignment between the oscillator’s pressure state and the price action you are trading.
This tool is best used as a trend context and momentum pressure filter rather than a single, one-off trigger. In uptrends, you will often see pressure hold above zero with brief dips that fail to sustain below, and those dips commonly align with pullbacks that resolve back into the trend. In downtrends, pressure commonly holds below zero with brief rallies that fail to sustain above. The most important information is usually not the first cross, but whether the indicator can stay on the correct side of zero and how confidently it can push toward or into the upper or lower zone. When combined with your existing structure work, it can help you decide when to press trades in the direction of momentum and when to reduce risk as pressure fades or flips regime.
Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) [DotGain]Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)
This indicator combines three proven market stress and mean-reversion components to identify potential buy and sell opportunities during extended market conditions.
────────────────────
📌 Included Components
1️⃣ Volatility-Based Stress Filter (Vix Fix)
Detects short-term market panic using relative price movement.
Signals are generated only during periods of elevated volatility or market stress.
2️⃣ Moving Average Deviation (MA Deviation)
Identifies overbought and oversold conditions based on the percentage deviation from a selected moving average.
Supported MA types:
• EMA
• SMA
• RMA
• VWMA
• WMA
• TEMA
3️⃣ TRMAD (True Range Mean Absolute Deviation)
Measures the distance of price from its mean relative to current volatility.
Useful for filtering extreme price moves and reducing false signals.
────────────────────
📈 Trading Signals
Buy Signal:
• Elevated market volatility
• Price significantly below the moving average
• TRMAD below the defined threshold
Sell Signal:
• Elevated market volatility
• Price significantly above the moving average
• TRMAD above the defined threshold
Signals are visualized directly on the chart:
• Buy: green label below the candle
• Sell: red label above the candle
────────────────────
⚙️ Settings & Customization
All components are fully adjustable:
• Lookback periods
• Moving average types and lengths
• Volatility and threshold levels
This makes the indicator suitable for:
• Intraday trading
• Swing trading
• Crypto, Forex, indices, and equities
────────────────────
Disclaimer
This "Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)" (DipSig) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
RSI & BB Oversold Scalper with MACD Confirmation [DotGain]RSI & BB Oversold Scalper with MACD Confirmation
The RSI & BB Oversold Scalper is a mean reversion / dip-buying indicator designed for traders who want to combine oversold conditions with momentum confirmation .
It uses a multi-step logic: first detect an oversold setup, then wait for a MACD confirmation within a defined time window before issuing a buy signal.
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Core Concept
1. Detect an oversold setup using Bollinger Bands %b, RSI and an optional DSS filter
2. Keep the setup active for a limited number of candles
3. Trigger the entry using a MACD bullish crossover
4. Reset after entry to avoid multiple signals from the same setup
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Buy Signal Logic
A buy signal is generated when the following conditions are met:
1. Oversold Setup (filters can be enabled/disabled individually)
• Bollinger Bands %b Oversold (Lookback-based)
The price has traded below the lower Bollinger Band at least once within the last `lookbackBB` candles.
• RSI Oversold (Lookback-based)
The RSI has dropped below 30 at least once within the last `lookbackRSI` candles.
• DSS (Double Smoothed Stochastic) Reversal Filter
A bullish crossover of the DSS line above its signal line while the DSS value is below 20 , indicating a potential momentum reversal from oversold conditions.
Note:
BB %b and RSI are lookback filters , while the DSS condition is a single-bar crossover event .
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2. MACD Confirmation (Entry Timing)
After the setup becomes active, the indicator waits for a bullish MACD crossover (`MACD line crosses above Signal line`) within a user-defined time window (`validWindow` candles).
If the MACD confirmation occurs within this window, a buy signal is printed.
If the window expires without confirmation, the setup is discarded automatically.
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Reset Logic
• After a buy signal, the setup is reset immediately
• Only one signal is allowed per setup
• No late entries after the time window expires
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Inputs & Customization
• Enable or disable BB, RSI and DSS filters individually
• Adjust lookback periods to control how recent oversold conditions must be
• Tune the MACD confirmation window to balance early vs. conservative entries
Smaller windows = faster, more aggressive entries
Larger windows = fewer but more confirmed signals
Recommended Markets & Timeframes
• Cryptocurrencies, Forex, Indices, liquid stocks
• Best suited for 1m – 15m scalping
• Also usable on 15m – 1h for slower mean-reversion trades
Visuals
• Buy signals are displayed as labels below the price candles
Important Notes
• This indicator is a signal and timing tool , not a complete trading system
• Always combine with higher-timeframe trend, support/resistance or volume analysis
• Backtesting and paper trading are strongly recommended
Disclaimer:
This "RSI & BB Oversold Scalper with MACD Confirmation" (Oversold Scalper) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
The signal generated by this tool (Green) is the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. The indicator's purpose is to highlight possible weakness in the markets, not to provide infallible trade signals.
All trading and investing in financial markets involves a substantial risk of loss. You can lose all of your invested capital.
Past performance is not indicative of future results. Even an indicator designed to filter out "chop" may produce false, lagging, or losing signals. Markets can remain unpredictable longer than you can remain solvent.
The creator DotGain assumes no liability for any financial losses or damages you may incur, directly or indirectly, as a result of using this indicator or the information it provides.
You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), validate signals with other methods, and consider your personal risk tolerance before entering any trade.
RSI adaptive zones with divergencesThis script is modified version of Adaptive RSI,
Thanks to creator of the script, modification is made by cloude code.
Universal MA Spread Oscillator + Dual DivergenceUniversal MA Spread Oscillator + Dual Divergence
Universal MA Spread Oscillator is a sophisticated momentum tool designed to visualize the convergence and divergence of two Moving Averages. By calculating the spread (distance) between a Fast and Slow MA, this oscillator provides a clear view of trend strength and potential reversals.
This script combines the oscillator with a Dual Divergence Engine and a Multi-Timeframe (MTF) Dashboard, allowing traders to spot structural weakness in price action across multiple timeframes simultaneously.
Note: To ensure a clean workspace upon loading, Divergences, the Signal Line, and the MTF Table are disabled by default. Please open the settings to enable the specific modules that fit your strategy.
Key Features
10 Selectable MA Types: Customize the oscillator engine with distinct algorithms for Fast and Slow averages. Options include:
Standard: SMA, EMA, WMA, VWMA, RMA (SMMA).
Advanced: McGinley Dynamic, Double EMA (DEMA), Triple EMA (TEMA), SWMA, and Kaufman Adaptive MA (KAMA).
Dual Divergence System:
Custom Divergence: Detects reversals based on user-defined pivot lookback periods.
TV Standard Divergence: Replicates the logic found in standard TradingView divergence indicators.
MTF Dashboard: A customizable table that monitors the trend direction and value of the spread across 4 user-defined higher timeframes.
Smart Histogram: Visualizes momentum with three coloring modes (Momentum, Simple, or Gradient).
How It Works
1. The Oscillator Logic The core calculation is simple yet effective:
Spread=FastMA−SlowMA
Above Zero: The Fast MA is above the Slow MA, indicating a Bullish trend.
Below Zero: The Fast MA is below the Slow MA, indicating a Bearish trend.
2. Divergence Detection The script compares Price Action against the Spread Oscillator to find discrepancies:
Regular Divergence (Reversal): When Price makes a higher high, but the Spread makes a lower high (Bearish), or Price makes a lower low while Spread makes a higher low (Bullish).
Hidden Divergence (Continuation): When Price pulls back, but the Spread oscillator maintains a stronger structure than price.
How to Use
Step 1: Configuration Open the settings menu to customize your view:
Visuals: Enable the "Signal Line" and "Cross Signals" if you prefer standard MACD-style entry/exit signals.
Divergence: Check "Show Custom Divergence" or "Show TV Standard Divergence" to automatically plot divergence lines and labels.
Table: Enable "Show MTF Table" to see the trend status of higher timeframes (e.g., 1H, 4H, Daily) in the corner of your screen.
Step 2: Trend Analysis Use the Zero Line as your baseline.
When the Histogram crosses Up over zero, momentum is shifting bullish.
When the Histogram crosses Down under zero, momentum is shifting bearish.
Step 3: Spotting Reversals If you enable the Divergence module, look for Regular Divergence lines at the top or bottom of trends. These often precede a change in direction or a deep retracement.
Step 4: MTF Confluence Before taking a trade based on the current timeframe, check the MTF Table. If the higher timeframes match your signal (e.g., all Green/Bullish), the probability of the trend continuing is higher.
Disclaimer: This tool is for informational purposes only. Past performance does not guarantee future results. Always use proper risk management.
Adaptive Trend Mapper-ATM [Arjo]Adaptive Trend Mapper (ATM) is a directional pressure indicator designed to visualize how buying and selling commitment evolves during market trends.
Instead of focusing on price direction alone, ATM maps who is exerting stronger pressure —buyers or sellers—and how that pressure expands, weakens, or compresses over time.
Idea
ATM is built around a single concept:
Directional pressure is best understood by weighting trend strength against directional imbalance .
To achieve this, the indicator transforms trend strength into two opposing pressure measures:
Bull Pressure Index
Bear Pressure Index
These indices expand, contract, and converge based on how strongly buyers or sellers are committing, rather than simply tracking momentum or price changes.
How It Works
1. Bull & Bear Pressure Indices
ATM derives two pressure curves by weighting trend strength against directional imbalance:
The Bull Pressure Index increases when upward pressure strengthens.
The Bear Pressure Index increases when downward pressure strengthens.
Both indices operate on a 0–100 scale and are designed to diverge during strong trends and converge during non-directional or compressed phases.
Optional smoothing can be applied to reduce noise and improve readability.
2. Compression / Squeeze Detection
When:
Trend strength weakens,
Bull and Bear pressure converge,
And convergence continues over time,
ATM highlights a compression zone, signaling reduced directional conviction.
These zones often precede directional expansion once pressure rebuilds.
3. Adaptive Trend Context
An adaptive smoothed price curve is displayed on the chart to provide trend context.
Color changes reflect short-term directional shifts, helping align pressure signals with price structure.
This component is contextual only and does not generate signals by itself.
4. Optional Trend Bias Reference
An optional EMA-50 can be enabled to help identify broader directional bias and align pressure behavior with the prevailing trend.
5. Step-Based Visualization
The pressure indices can be optionally step-compressed, improving clarity on fast or noisy charts by reducing minor fluctuations.
How to Use ATM
Rising Bull Pressure → strengthening buyer commitment
Rising Bear Pressure → strengthening seller commitment
Wide separation between indices → strong directional trend
Convergence with compression highlight → range or pre-breakout environment
Notes
ATM uses widely known market concepts such as trend strength, directional imbalance, and adaptive smoothing as conceptual inputs.
All calculations, pressure mapping logic, and compression detection are original implementations developed specifically for this script.
ATM is effective when used to assess participation quality, not as a standalone signal generator.
Disclaimer
This indicator is intended for analysis and educational purposes only.
It does not generate buy or sell signals.
Always apply proper risk management.
Happy Trading.
