DEMA ATR Strategy [PrimeAutomation]⯁ OVERVIEW
The DEMA ATR Strategy combines trend-following logic with adaptive volatility filters to identify strong momentum phases and manage trades dynamically.
It uses a Double Exponential Moving Average (DEMA) anchored to ATR volatility bands, creating a self-adjusting trend baseline.
When the adjusted DEMA shifts direction, the strategy enters positions and scales out profit in phases based on ATR-driven targets.
This system adapts to volatility, filters noise, and seeks sustained directional moves.
⯁ KEY FEATURES
DEMA-Volatility Hybrid Filter
Uses Double EMA with ATR expansion/compression logic to form a dynamic trend baseline.
Directional Shift Entries
Entries occur when the adjusted DEMA flips trend (bullish crossover or bearish crossunder vs its past value).
Noise Reduction Mechanism
ATR range caps extreme moves and prevents false flips during choppy volatility spikes.
Multi-Level Take Profits
Targets scale out positions at 1×, 2×, and 3× ATR multiples in the trade direction.
Volatility-Adaptive Targets
ATR multiplier ensures profit targets expand/contract based on market conditions.
Single-Direction Exposure
No pyramiding; the strategy flips position only when trend shifts.
Automated Trade Finalization
When all profit targets trigger, the position is fully closed.
⯁ STRATEGY LOGIC
Trend Direction:
DEMA baseline is modified using ATR upper/lower envelopes.
• If the adjusted DEMA rises above previous value → Bullish
• If it falls below previous value → Bearish
Entry Rules:
• Enter Long when bullish shift occurs and no long position exists
• Enter Short when bearish shift occurs and no short position exists
Take Profit Logic:
3 partial exits for each trade based on ATR:
• TP1 = ±1× ATR
• TP2 = ±2× ATR
• TP3 = ±3× ATR
Profit distribution: 30% / 30% / 40%
Exit Conditions:
• Exit when all TPs hit (full scale-out if sum of all TPs 100%)
• Opposite trend signal closes current trade and opens new one
⯁ WHEN TO USE
Trending environments
Medium–high volatility phases
Swing trading and intraday trend plays
Markets that respect momentum continuation (crypto, indices, FX majors)
⯁ CONCLUSION
This strategy blends DEMA trend recognition with ATR-based volatility adaptation to generate cleaner directional entries and structured take-profit exits. It is designed to capture momentum phases while avoiding noise-driven false signals, delivering a disciplined and scalable trend-following approach.
Analisi trend
Mizan v5 - L-Score (Minimal)DESCRIPTION:
The Architecture of Market Probability
Mizan v5 is not just another technical indicator; it is a quantitative implementation of the "Ontological Probability" philosophy. It is designed to decipher the market's hidden intent by analyzing the relationship between Balance, Order, and Harmony (DDU Principles).
Unlike standard oscillators that blindly follow price action, Mizan v5 operates on a multi-dimensional logic structure to separate "Market Noise" from "True Momentum."
CORE LOGIC & FEATURES
1. The L-Score Engine (Composite Momentum)
The heart of this algorithm is the "L-Score," a weighted composite index that answers the question: "Is the move supported by energy and mass?"
It fuses three distinct market dimensions into a single actionable score (0-100):
Volume Flow (45% Weight): Uses customized Chaikin Money Flow (CMF) logic to detect "Smart Money" accumulation before price reacts.
Velocity (35% Weight): Uses CCI to measure the speed of the breakout.
Saturation (20% Weight): Uses RSI as a limiter to identify overextended conditions.
2. Adaptive Regime Detection (The Histogram Logic)
Markets are not linear; they switch between "Global" and "Local" realities. Mizan v5 calculates statistical Price Density Zones (similar to Market Profile logic) to find the "Fair Value."
Global Mode: Analyzes the long-term balance (70 bars).
Local Mode: Automatically switches focus to short-term volatility (20 bars) when a "Regime Change" (high deviation) is detected.
HOW TO USE
1. The L-Score Line (Signal):
🟢 GREEN Line (> 65): Bullish Phase. Volume and Momentum are aligned. High probability of continuation.
🔴 RED Line (< 45): Bearish/Neutral Phase. Lack of energy. Avoid long positions ("Don't catch a falling knife").
🟠 ORANGE Line: Indecision/Transition zone.
2. Background Zones (Valuation):
🟩 Green Background: "Statistical Cheap Zone." Price is below the density band. Potential for Mean Reversion (Dip Buying).
🟥 Red Background: "Statistical Expensive Zone." Price is extended above the density band. High risk of Distribution (Selling).
PHILOSOPHY
"Chaos is merely order waiting to be deciphered." This tool is the visual manifestation of the "Cosmic Architect" project, aiming to bridge the gap between abstract philosophy and algorithmic trading.
Disclaimer: This tool is for educational and analytical purposes only. It is not financial advice.
© MuratKavak | Idea Architect
ActivTrades Metals Market Pulse – Ion JaureguiThe ActivTrades Metals Market Pulse Indicator is a market analysis tool designed to assess overall risk sentiment in the metals market. Rather than generating trade signals, it provides a snapshot of the prevailing environment, helping traders and analysts understand whether conditions favor risk-taking or caution.
How it Works:
The indicator combines two key metal market metrics:
Metals Performance:
Compares the performance of industrial metals with precious metals relative to their 50-day moving averages.
Stronger industrial metal performance indicates higher market risk tolerance (Risk-On), while stronger precious metal performance suggests increased risk aversion (Risk-Off).
Trend Momentum:
Uses a Bloomberg-style scoring system based on the relative position of each metal to its 50-day SMA.
Scores range visually from -5 to +5 to indicate overall market sentiment.
Risk Sentiment Index:
Each metal contributes to the total score, creating an index that oscillates between Risk-On (high risk appetite) and Risk-Off (heightened caution), with a neutral zone for mixed conditions.
Visual Output:
Results are displayed as a colored histogram for easy interpretation of metals market sentiment.
Labeled zones include:
Extreme Risk-On: Industrial metals strongly outperform precious metals.
Extreme Risk-Off: Precious metals strongly outperform industrial metals.
Neutral Zone / Mixed: No clear dominance; the market is balanced or sideways.
Purpose and Use:
Helps traders, analysts, and investors gauge prevailing risk appetite in the metals market.
Provides context for strategic positioning and risk management without offering direct trade recommendations.
*******************************************************************************************
The information provided does not constitute investment research. The material has not been prepared in accordance with the legal requirements designed to promote the independence of investment research and such should be considered a marketing communication.
All information has been prepared by ActivTrades ("AT"). The information does not contain a record of AT's prices, or an offer of or solicitation for a transaction in any financial instrument. No representation or warranty is given as to the accuracy or completeness of this information.
Any material provided does not have regard to the specific investment objective and financial situation of any person who may receive it. Past performance and forecasting are not a synonym of a reliable indicator of future performance. AT provides an execution-only service. Consequently, any person acting on the information provided does so at their own risk. Political risk is unpredictable. Central bank actions can vary. Platform tools do not guarantee success.
INDICATORS:
RISK ADVICE: The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by ActivTrades. This script intends to help follow the trend and filter out market noise. This script is meant for the use of international users. This script is not meant for the use of Spain users.
GEETS Custom LevelsINTRADAY SUPPORT AND RESISTANCE LEVELS DERIVED FROM PREVIOUS CANDLES PRICE ACTION. : A Price Action indicator is designed to study market behavior by analyzing candlestick patterns, highs/lows, and support/resistance zones.
Instead of using moving averages or oscillators, it emphasizes price itself as the most reliable signa
The 'Qualified' POI Scorer [PhenLabs]📊 The “Qualified” POI Scorer (Q-POI)
Version: PineScript™ v6
📌 Description
The “Qualified” POI Scorer helps intermediate traders overcome "analysis paralysis" by filtering Smart Money Concepts (SMC) structures based on their probability. Instead of flooding your chart with every possible Order Block, this script assigns a proprietary “Quality Score” (0-100) to each zone. It analyzes the strength of the displacement, the presence of imbalances (FVG), and liquidity mechanics to determine which zones are worth your attention. It is designed to clean up your charts and enforce discipline by visually fading out low-quality setups.
🚀 Points of Innovation
Dynamic “Glass UI” Transparency that automatically fades weak zones based on their score.
Proprietary Scoring Algorithm (0-100) based on three distinct institutional factors.
Visual Icon System that prints analytical context (💧— 🚀/🐌—🧱) directly on the chart.
Automated Mitigation Tracking that changes the visual state of zones after they are tested.
Displacement Velocity calculation using ATR to verify institutional intent.
🔧 Core Components
Liquidity Sweep Engine: Detects if a pivot point grabbed liquidity from the previous X bars before reversing.
FVG Validator: Checks if the move away from the zone created a valid Fair Value Gap.
Momentum Scorer: Calculates the size of the displacement candle relative to the Average True Range (ATR).
🔥 Key Features
Quality Filtering: Automatically hides or dims zones that score below 50 (user configurable).
State Management: Zones turn grey when mitigated and delete themselves when invalidated.
Visual Scorecard: Displays the exact numeric score on the zone for quick decision-making.
Time-Decay Logic: Keeps the chart clean by managing the lifespan of old zones.
🎨 Visualization
High Score Zones (80-100): Display as bright, semi-solid boxes indicating high probability.
Medium Score Zones (50-79): Display as translucent “glass” boxes.
Low Score Zones (<50): Display as faint “ghost” boxes or are completely hidden.
Rocket Icon (🚀): Indicates high momentum displacement.
Snail Icon (🐌): Indicates low momentum displacement.
Drop Icon (💧): Indicates the zone swept liquidity.
Brick Icon (🧱): Indicates the zone is supported by an FVG.
📖 Usage Guidelines
Swing Structure Length (Default: 5): Controls the sensitivity of the pivot detection; lower numbers create more zones, higher numbers find major swing points.
ATR Length (Default: 14): Determines the lookback period for calculating relative momentum.
Minimum Quality Score (Default: 50): The threshold for which zones are considered “valid” enough to be fully visible.
Bullish/Bearish Colors: Fully customizable colors that adapt their own transparency based on the score.
Show Weak Zones (Default: False): Toggles the visibility of zones that failed the quality check.
✅ Best Use Cases
Filtering noise during high-volatility sessions by focusing only on Score 80+ zones.
Confirming trend continuation entries by looking for the Rocket (🚀) momentum icon.
Avoiding “stale” zones by ignoring any box that has turned grey (Mitigated).
⚠️ Limitations
The indicator is reactive to closed candles and cannot predict news-driven spikes.
Scoring is based on technical structure and does not account for fundamental drivers.
In extremely choppy markets, the ATR filter may produce lower scores due to lack of displacement.
💡 What Makes This Unique
It transforms subjective SMC analysis into an objective, quantifiable score.
The visual hierarchy allows traders to assess chart quality in milliseconds without reading data.
It integrates three separate SMC concepts (Liquidity, Imbalance, Structure) into a single tool.
🔬 How It Works
Step 1: The script identifies a Swing High or Low based on your length input.
Step 2: It looks backward to see if that swing swept liquidity, and looks forward to check for an FVG and displacement.
Step 3: It calculates a weighted score (30pts for Sweep, 30pts for FVG, 40pts for Momentum).
Step 4: It draws the zone with a transparency level designated by the score and appends the relevant icons.
💡 Note:
For the best results, use this indicator on the timeframe you execute trades on (e.g., 15m or 1h). Do not use it to find entries on the 1m chart if your analysis is based on the 4h chart.
Smart Money COTThis indicator implements the method of analysing COT data as defined by Michael Huddleston (I.E. The Inner Circle Trader). It removes all superfluous information contained in the standard COT reports and focusses only on Commercial speculators using the overall Long-Short positions.
Features
The unique feature of this indicator is its ability to look back over time and provide the following information:
Calculation of the range high and low of the specified lookback range.
Calculation of equilibrium of that range.
Automatic colour coding of net long and net short positions when the Long-Short COT calculation is above or below equilibrium of the lookback range.
Instructions
Use the Daily Timeframe only. You may get unexpected results on other timeframes.
Ensure the asset has COT data available. Script is mainly focused on commodity futures, such as ES, NQ, YM. It has not been tested against Forex.
You will need to define the "Lookback" setting in the script settings. Use the total number of trading days required for your analysis. E.g. if you want a 6 month COT analysis, use the measurement tool to count the quantity of daily candles between now and 6 months ago - use this as your Lookback setting. Adjust as needed for other lookback periods, e.g. 3 months, 12 months etc.
Other Info
The script provides the ability to customise colours in its settings.
Range High and Range Low plots can be disabled in settings.
RSI HunterConcept and Methodology This indicator is an advanced technical tool that "reverse engineers" J. Welles Wilder’s standard Relative Strength Index (RSI).
While a standard RSI takes price data and outputs an oscillator value (0-100), this script performs the inverse operation. It calculates exactly what Price the current candle must reach to generate a specific RSI value (e.g., RSI 74 or RSI 26). By projecting these price levels onto the chart, traders can visualize Overbought and Oversold zones in real-time, turning the RSI from a lagging confirmation tool into a leading price-target system.
Key Features
1. Multi-Timeframe (MTF) Projection The indicator allows you to map RSI levels from a higher timeframe onto your current chart. For example, you can view the 3-Hour RSI "Overbought" price levels while trading on a 5-minute chart. This creates distinct "stepped" support and resistance lines that remain valid for the duration of the higher timeframe's candle.
2. Dual Zone Logic The script projects two distinct bands of resistance and support:
Inner Zone (Early Warning): Defaults to RSI 69 / 31. This represents the initial threshold of over-extension.
Outer Zone (Extreme): Defaults to RSI 74 / 26. This represents statistical extremes where mean reversion probabilities are higher.
Zone Shading: The area between the Inner and Outer lines is shaded (Red for Resistance, Green for Support) to visually identify the "Reversal Zone."
3. Smart Wick & Rejection Filter (New) This version introduces a robust filtration system designed to reduce false signals during strong trending moves (often referred to as "falling knives").
How it works: The signal logic is Intra-bar Aware. It continuously asks two questions:
Did the price touch the zone? (Did the High/Low breach the Inner line?)
Did the price reject? (Did the candle Close back inside the neutral channel?)
The Result: Signals are generated only when the price tests the level but closes safely back inside the range. This captures both long-tail wick rejections (single bar) and trend reversals, while suppressing signals when the candle closes deep inside the Overbought/Oversold zones.
How to Interpret
Stepped Lines: These are the dynamic resistance (Red) and support (Green) levels based on the selected Timeframe's RSI.
Large Arrows (Deep Red / Lime Green): Triggered when price touches the Outer (Extreme) band and rejects/closes back below the Inner band.
Small Arrows (Standard Red / Green): Triggered when price touches the Inner (Early) band and rejects/closes back, but did not reach the Outer extreme.
Settings & Defaults
RSI Length: 23
Timeframe: 3 Hours (180 minutes)
Targets: 74/26 (Outer) and 69/31 (Inner)
Filter: "Wait for Confirmed Exit" is ON by default.
Disclaimer This tool is for informational and educational purposes only. RSI projections are mathematical calculations based on historical price averages and do not guarantee future market movements. Always use proper risk management.
𝙐𝙡𝙩𝙧𝙖 𝘼𝙡𝙜𝙤Ultra Algo एक multi-layer trend analysis system है जो price behavior, range expansion और trend flow ko combine करके साफ़ और structured market indications प्रदान करता है।
इसका उद्देश्य chart को simplify करके traders ko directional clarity aur disciplined analysis में मदद देना है।
Core Features
Trend direction aur strength identify करने वाला dynamic filter
Structured rules par आधारित automatic long/short indications
Pre-defined levels par आधारित take-profit markers
ATR logic par बना हुआ risk reference framework
Coral-based visual trend component jo market flow को smooth तरीके से दिखाता है
Use Case
यह system short-term से mid-term analysis tak किसी भी trading style के साथ उपयोग किया जा सकता है।
Script ka उद्देश्य:
✔ clearer structure
✔ reduced chart noise
✔ disciplined analysis
✔ better trend visibility
provide करना है ताकि user market movement ko zyada organized तरीके से समझ सके।
Important Note
Yeh tool discretionary decision-making ko replace nahi karta, balki chart-reading ko structured banane mein madad karta hai.
Dynamic Swing Retracement TrackerThis indicator automatically identifies potential reversal zones within trending markets by combining momentum-based directional filters with geometric price swing analysis.
Methodology:
Directional Bias Filter: Utilizes two exponential moving averages (configurable periods, default 50 and 200) as a momentum comparison mechanism. When the faster average exceeds the slower average, bullish bias is established; the inverse confirms bearish bias.
Automated Swing Recognition: The script continuously scans for local price extremes using pivot analysis with a user-defined lookback window (default 36 bars). These extremes become anchor points for calculating potential retracement zones.
Geometric Retracement Zones: Between each pair of swing extremes, the script calculates key mathematical ratios (0.5 and 0.618) to identify zones where price is statistically likely to find support or resistance during pullbacks. These zones are used for signal generation but remain invisible on the chart.
Signal Generation Logic:
Long entry signals appear when price retraces into calculated zones during bullish bias conditions
Short entry signals appear when price retraces into zones during bearish bias conditions
All signals require full candle confirmation to eliminate intra-bar noise
A customizable cooldown mechanism prevents signal clustering
Automated Risk Visualization:
Invalidation level (traditionally called "stop loss") placed beyond the most recent swing extreme, with adjustable pip buffer for spread accommodation
Three progressive target zones calculated using geometric extensions (1.618x, 2.0x, and 2.618x multiples of the original swing range)
All price levels displayed as horizontal reference lines spanning 20 bars (10 before, 10 after the signal candle
Technical Implementation:
Swing detection uses TradingView's built-in pivot functions with symmetric lookback
Retracement calculations based on classical golden ratio mathematics
Label positioning dynamically adjusts using Average True Range to maintain visibility across different volatility conditions
All drawing objects are refreshed on each bar to comply with platform object limits
Practical Application:
This tool is designed for traders who want to systematically identify counter-trend entries within established trends. Rather than manually drawing retracement levels, the indicator automates the process and provides immediate visual feedback on potential entry zones with pre-calculated risk and reward parameters.
Customization Options:
Momentum filter periods (default 50/200)
Swing detection sensitivity
Signal spacing controls
Risk buffer adjustment
Individual component visibility toggles
Important Notes:
This indicator does not predict future price movements. It identifies historical swing patterns and mathematically-derived levels based on past price action. All trading decisions should be made in conjunction with proper risk management and market analysis.
Smart Money Flow - Exchange & TVL Composite# Smart Money Flow - Exchange & TVL Composite Indicator
## Overview
The **Smart Money Flow (SMF)** indicator combines two powerful on-chain metrics - **Exchange Flows** and **Total Value Locked (TVL)** - to create a composite index that tracks institutional and "smart money" movement in the cryptocurrency market. This indicator helps traders identify accumulation and distribution phases by analyzing where capital is flowing.
## What It Does
This indicator normalizes and combines:
- **Exchange Net Flow** (from IntoTheBlock): Tracks Bitcoin/Ethereum movement to and from exchanges
- **Total Value Locked** (from DefiLlama): Measures capital locked in DeFi protocols
The composite index is displayed on a 0-100 scale with clear zones for overbought/oversold conditions.
## Core Concept
### Exchange Flows
- **Negative Flow (Outflows)** = Bullish Signal
- Coins moving OFF exchanges → Long-term holding/accumulation
- Indicates reduced selling pressure
- **Positive Flow (Inflows)** = Bearish Signal
- Coins moving TO exchanges → Preparation for selling
- Indicates potential distribution phase
### Total Value Locked (TVL)
- **Rising TVL** = Bullish Signal
- Capital flowing into DeFi protocols
- Increased ecosystem confidence
- **Falling TVL** = Bearish Signal
- Capital exiting DeFi protocols
- Decreased ecosystem confidence
### Combined Signals
**🟢 Strong Bullish (70-100):**
- Exchange outflows + Rising TVL
- Smart money accumulating and deploying capital
**🔴 Strong Bearish (0-30):**
- Exchange inflows + Falling TVL
- Smart money preparing to sell and exiting positions
**⚪ Neutral (40-60):**
- Mixed or balanced flows
## Key Features
### ✅ Auto-Detection
- Automatically detects chart symbol (BTC/ETH)
- Uses appropriate exchange flow data for each asset
### ✅ Weighted Composite
- Customizable weights for Exchange Flow and TVL components
- Default: 50/50 balance
### ✅ Normalized Scale
- 0-100 index scale
- Configurable lookback period for normalization (default: 90 days)
### ✅ Signal Zones
- **Overbought**: 70+ (Strong bullish pressure)
- **Oversold**: 30- (Strong bearish pressure)
- **Extreme**: 85+ / 15- (Very strong signals)
### ✅ Clean Interface
- Minimal visual clutter by default
- Only main index line and MA visible
- Optional elements can be enabled:
- Background color zones
- Divergence signals
- Trend change markers
- Info table with detailed metrics
### ✅ Divergence Detection
- Identifies when price diverges from smart money flows
- Potential reversal warning signals
### ✅ Alerts
- Extreme overbought/oversold conditions
- Trend changes (crossing 50 line)
- Bullish/bearish divergences
## How to Use
### 1. Trend Confirmation
- Index above 50 = Bullish trend
- Index below 50 = Bearish trend
- Use with price action for confirmation
### 2. Reversal Signals
- **Extreme readings** (>85 or <15) suggest potential reversal
- Look for divergences between price and indicator
### 3. Accumulation/Distribution
- **70+**: Accumulation phase - smart money buying/holding
- **30-**: Distribution phase - smart money selling
### 4. DeFi Health
- Monitor TVL component for DeFi ecosystem strength
- Combine with exchange flows for complete picture
## Settings
### Data Sources
- **Exchange Flow**: IntoTheBlock real-time data
- **TVL**: DefiLlama aggregated DeFi TVL
- **Manual Mode**: For testing or custom data
### Indicator Settings
- **Smoothing Period (MA)**: Default 14 periods
- **Normalization Lookback**: Default 90 days
- **Exchange Flow Weight**: Adjustable 0-100%
- **Overbought/Oversold Levels**: Customizable thresholds
### Visual Options
- Show/Hide Moving Average
- Show/Hide Zone Lines
- Show/Hide Background Colors
- Show/Hide Divergence Signals
- Show/Hide Trend Markers
- Show/Hide Info Table
## Data Requirements
⚠️ **Important Notes:**
- Uses **daily data** from IntoTheBlock and DefiLlama
- Works on any chart timeframe (data updates daily)
- Auto-switches between BTC and ETH based on chart
- All other crypto charts default to BTC exchange flow data
## Best Practices
1. **Use on Daily+ Timeframes**
- On-chain data is daily, most effective on D/W/M charts
2. **Combine with Price Action**
- Use as confirmation, not standalone signals
3. **Watch for Divergences**
- Price making new highs while indicator falling = warning
4. **Monitor Extreme Zones**
- Sustained readings >85 or <15 indicate strong conviction
5. **Context Matters**
- Consider broader market conditions and fundamentals
## Calculation
1. **Exchange Net Flow** = Inflows - Outflows (inverted for index)
2. **TVL Rate of Change** = % change over smoothing period
3. **Normalize** both metrics to 0-100 scale
4. **Composite Index** = (ExchangeFlow × Weight) + (TVL × Weight)
5. **Smooth** with moving average
## Disclaimer
This indicator uses on-chain data for analysis. While valuable, it should not be used as the sole basis for trading decisions. Always combine with other technical analysis tools, fundamental analysis, and proper risk management.
On-chain data reflects blockchain activity but may lag price action. Use this indicator as part of a comprehensive trading strategy.
---
## Credits
**Data Sources:**
- IntoTheBlock: Exchange flow metrics
- DefiLlama: Total Value Locked data
**Indicator by:** @iCD_creator
**Version:** 1.0
**Pine Script™ Version:** 6
---
## Updates & Support
For questions, suggestions, or bug reports, please comment below or message the author.
**Like this indicator? Leave a 👍 and share your feedback!**
Crypto Edition 0.2This strategy is built on a trend-following approach, designed to capture sustained market momentum rather than predict reversals.its a pullback strategy. The goal is to stay aligned with the prevailing trend, ride strong moves, avoid ranging-market noiseE
ŞAHİ Ultra Hızlı v4SHAHI Ultra Fast v4 – Script Description
This script is an enhanced version of a classic 5/22 EMA crossover system, expanded with multiple technical filters to evaluate trend strength, momentum, volatility, and volume conditions in a single integrated tool. Its goal is to provide a more detailed and structured outlook on market behavior by combining several commonly used indicators.
Main Components
Buy and Sell signals based on the 5/22 EMA crossover
Trend structure support with EMA50 and EMA200
Momentum analysis using RSI and MACD
Trend strength measurement with ADX
Volatility tracking through ATR percentage
Relative volume compared to the 30-period average
Volume trend detection (short-term vs long-term volume comparison)
“Strong Buy” signal generated through multi-filter confirmation
Real-time calculation of profit percentage and bar duration
Score system (0–100) summarizing the overall technical setup
Dynamic table showing all key metrics in a clear and organized format
Purpose of the Tool
This script aims to help users evaluate the technical environment more effectively by merging multiple signals into a structured display. It highlights momentum shifts, volume strength, volatility conditions, and trend alignment—all in one place—making it easier to interpret potential opportunities.
Notes
This script is intended solely for technical analysis and educational use.
It does not provide financial advice, trade recommendations, or guaranteed signals.
Users should always conduct their own research before making decisions.
Kernel Channel [BackQuant]Kernel Channel
A non-parametric, kernel-weighted trend channel that adapts to local structure, smooths noise without lagging like moving averages, and highlights volatility compressions, expansions, and directional bias through a flexible choice of kernels, band types, and squeeze logic.
What this is
This indicator builds a full trend channel using kernel regression rather than classical averaging. Instead of a simple moving average or exponential weighting, the midline is computed as a kernel-weighted expectation of past values. This allows it to adapt to local shape, give more weight to nearby bars, and reduce distortion from outliers.
You can think of it as a sliding local smoother where you define both the “window” of influence (Window Length) and the “locality strength” (Bandwidth). The result is a flexible midline with optional upper and lower bands derived from kernel-weighted ATR or kernel-weighted standard deviation, letting you visualize volatility in a structurally consistent way.
Three plotting modes help demonstrate this difference:
When the midline is shown alone, you get a smooth, adaptive baseline that behaves almost like a regression moving average, as shown in this view:
When full channels are enabled, you see how standard deviation reacts to local structure with dynamically widening and tightening bands, a mode illustrated here:
When ATR mode is chosen instead of StdDev, band width reflects breadth of movement rather than variance, creating a volatility-aware envelope like the example here:
Why kernels
Classical moving averages allocate fixed weights. Kernels let the user define weighting shape:
Epanechnikov — emphasizes bars near the current bar, fades fast, stable and smooth.
Triangular — linear decay, simple and responsive.
Laplacian — exponential decay from the current point, sharper reactivity.
Cosine — gentle periodic decay, balanced smoothness for trend filters.
Using these in combination with a bandwidth parameter gives fine control over smoothness vs responsiveness. Smaller bandwidths give sharper local sensitivity, larger bandwidths give smoother curvature.
How it works (core logic)
The indicator computes three building blocks:
1) Kernel-weighted midline
For every bar, a sliding window looks back Window Length bars. Each bar in this window receives a kernel weight depending on:
its index distance from the present
the chosen kernel shape
the bandwidth parameter (locality)
Weights form the denominator, weighted values form the numerator, and the resulting ratio is the kernel regression mean. This midline is the central trend.
2) Kernel-based width
You choose one of two band types:
Kernel ATR — ATR values are kernel-averaged, producing a smooth, volatility-based width that is not dependent on variance. Ideal for directional trend channels and regime separation.
Kernel StdDev — local variance around the midline is computed through kernel weighting. This produces a true statistical envelope that narrows in quiet periods and widens in noisy areas.
Width is scaled using Band Multiplier , controlling how far the envelope extends.
3) Upper and lower channels
Provided midline and width exist, the channel edges are:
Upper = midline + bandMult × width
Lower = midline − bandMult × width
These create smooth structures around price that adapt continuously.
Plotting modes
The indicator supports multiple visual styles depending on what you want to emphasize.
When only the midline is displayed, you get a pure kernel trend: a smooth regression-like curve that reacts to local structure while filtering noise, demonstrated here: This provides a clean read on direction and slope.
With full channels enabled, the behavior of the bands becomes visible. Standard deviation mode creates elastic boundaries that tighten during compressions and widen during turbulence, which you can see in the band-focused demonstration: This helps identify expansion events, volatility clusters, and breakouts.
ATR mode shifts interpretation from statistical variance to raw movement amplitude. This makes channels less sensitive to outliers and more consistent across trend phases, as shown in this ATR variation example: This mode is particularly useful for breakout systems and bar-range regimes.
Regime detection and bar coloring
The slope of the midline defines directional bias:
Up-slope → green
Down-slope → red
Flat → gray
A secondary regime filter compares close to the channel:
Trend Up Strong — close above upper band and midline rising.
Trend Down Strong — close below lower band and midline falling.
Trend Up Weak — close between midline and upper band with rising slope.
Trend Down Weak — close between lower band and midline with falling slope.
Compression mode — squeeze conditions.
Bar coloring is optional and can be toggled for cleaner charts.
Squeeze logic
The indicator includes non-standard squeeze detection based on relative width , defined as:
width / |midline|
This gives a dimensionless measure of how “tight” or “loose” the channel is, normalized for trend level.
A rolling window evaluates the percentile rank of current width relative to past behavior. If the width is in the lowest X% of its last N observations, the script flags a squeeze environment. This highlights compression regions that may precede breakouts or regime shifts.
Deviation highlighting
When using Kernel StdDev mode, you may enable deviation flags that highlight bars where price moves outside the channel:
Above upper band → bullish momentum overextension
Below lower band → bearish momentum overextension
This is turned off in ATR mode because ATR widths do not represent distributional variance.
Alerts included
Kernel Channel Long — midline turns up.
Kernel Channel Short — midline turns down.
Price Crossed Midline — crossover or crossunder of the midline.
Price Above Upper — early momentum expansion.
Price Below Lower — downward volatility expansion.
These help automate regime changes and breakout detection.
How to use it
Trend identification
The midline acts as a bias filter. Rising midline means trend strength upward, falling midline means downward behavior. The channel width contextualizes confidence.
Breakout anticipation
Kernel StdDev compressions highlight areas where price is coiling. Breakouts often follow narrow relative width. ATR mode provides structural expansion cues that are smooth and robust.
Mean reversion
StdDev mode is suitable for fade setups. Moves to outer bands during low volatility often revert to the midline.
Continuation logic
If price breaks above the upper band while midline is rising, the indicator flags strong directional expansion. Same logic for breakdowns on the lower band.
Volatility characterization
Kernel ATR maps raw bar movements and is excellent for identifying regime shifts in markets where variance is unstable.
Tuning guidance
For smoother long-term trend tracking
Larger window (150–300).
Moderate bandwidth (1.0–2.0).
Epanechnikov or Cosine kernel.
ATR mode for stable envelopes.
For swing trading / short-term structure
Window length around 50–100.
Bandwidth 0.6–1.2.
Triangular for speed, Laplacian for sharper reactions.
StdDev bands for precise volatility compression.
For breakout systems
Smaller bandwidth for sharp local detection.
ATR mode for stable envelopes.
Enable squeeze highlighting for identifying setups early.
For mean-reversion systems
Use StdDev bands.
Moderate window length.
Highlight deviations to locate overextended bars.
Settings overview
Kernel Settings
Source
Window Length
Bandwidth
Kernel Type (Epanechnikov, Triangular, Laplacian, Cosine)
Channel Width
Band Type (Kernel ATR or Kernel StdDev)
Band Multiplier
Visuals
Show Bands
Color Bars By Regime
Highlight Squeeze Periods
Highlight Deviation
Lookback and Percentile settings
Colors for uptrend, downtrend, squeeze, flat
Trading applications
Trend filtering — trade only in direction of the midline slope.
Breakout confirmation — expansion outside the bands while slope agrees.
Squeeze timing — compression periods often precede the next directional leg.
Volatility-aware stops — ATR mode makes channel edges suitable for adaptive stop placement.
Structural swing mapping — StdDev bands help locate midline pullbacks vs distributional extremes.
Bias rotation — bar coloring highlights when regime shifts occur.
Notes
The Kernel Channel is not a signal generator by itself, but a structural map. It helps classify trend direction, volatility environment, distribution shape, and compression cycles. Combine it with your entry and exit framework, risk parameters, and higher-timeframe confirmation.
It is designed to behave consistently across markets, to avoid the bluntness of classical averages, and to reveal subtle curvature in price that traditional channels miss. Adjust kernel type, bandwidth, and band source to match the noise profile of your instrument, then use squeeze logic and deviation highlighting to guide timing.
Continuation / Reversal Sweep (WMA trend)marks hh ll
reversals
continuiation
htf analyisis to enter in ltf
Oracle Pivot Engine (OPE) — @darshaksscThe Oracle Pivot Engine (OPE) is a market-structure visualization tool that derives all its levels exclusively from historical price data — specifically, the previous day’s high, low, and mid-range.
It does not provide signals, alerts, entries, exits, predictions, or trade recommendations.
Instead, it creates a non-repainting reference framework that helps users observe how the current session interacts with the prior session’s completed price structure.
All calculations are analytical, static, and based on fully closed candles.
🧠 How It Works (Core Logic Explained)
OPE computes the following values from the completed prior daily candle:
Prior-Day High
Prior-Day Low
Prior-Day Midpoint
Displacement Range = High − Low
This displacement range is used to generate symmetrical upward and downward reference zones.
These levels do not update during the session.
They refresh only once per day when a new daily candle closes.
This ensures the indicator remains fully non-repainting and stable on every intraday chart.
📐 Reference Levels Generated
Using the fixed prior-day displacement range, OPE plots:
1. BUY-Side Reference Map (Upward Bias)
BUY Reference Entry
BUY Reference Stop
BUY T1
BUY T2
BUY T3
BUY T4
BUY T5
BUY T6
These are not trade signals — they are mathematical extensions above the prior-day midpoint for structural interpretation only.
2. SELL-Side Reference Map (Downward Bias)
SELL Reference Entry
SELL Reference Stop
SELL T1
SELL T2
SELL T3
SELL T4
SELL T5
SELL T6
Again, these levels are not directives.
They are mirrored displacement extensions below the prior-day midpoint.
📊 Pivot Zone & Bands
The indicator includes optional visual layers derived from the same prior-day pivots:
Pivot High–Low Zone Shading → shows the prior-day full range
Pivot Midline → prior-day mid-price
Outer Displacement Bands → extended contextual boundaries
These are purely visual boundaries meant to improve market context.
🧾 Dashboard / HUD Explanation
A compact on-chart HUD summarizes all values.
It displays:
Section | Information (All Historical)
Prior-Day Pivots | High, Low, Mid, Range
BUY Map | Entry, Stop, T1–T6
SELL Map | Entry, Stop, T1–T6
The HUD allows you to quickly review:
Where the current price is relative to the previous day’s structure
How far price is from each level
Whether the session is operating inside or outside the prior-day displacement zones
Everything shown is static, non-repainting , and for reference only .
📊 How to Analyze It
✔ 1. Contextual Awareness
OPE helps users visually compare current intraday price to prior daily structure.
You can observe whether price is:
Inside yesterday’s high/low zone
Above the prior-day displacement
Below the prior-day displacement
This offers a clearer understanding of daily context and volatility.
✔ 2. Structural Symmetry
The BUY-side and SELL-side maps extend from the same pivot logic.
This can help visualize:
Expansion away from the prior-day midpoint
Compression within the prior-day range
Symmetrical displacement around key reference levels
Again — these are observational insights , not signals.
✔ 3. Range Interaction
As the session unfolds, users often study:
How price reacts around prior-day midpoint
Whether price is gravitating toward or away from the displacement levels
How intraday swings behave within these historical boundaries
This type of analysis is contextual , not predictive.
⚠️ Important Disclosures
This script does NOT generate trading signals.
It does NOT predict future price movement.
It does NOT contain advice, instructions, recommendations, or strategies.
All levels are derived exclusively from historical daily candle data .
This is strictly an informational visualization tool meant to support chart analysis.
Past price levels do not guarantee any future price behavior.
🛑 Disclaimer
This indicator is provided solely for educational and informational purposes.
It should not be interpreted as financial advice or a call to action of any kind.
Users should apply independent judgment and discretion when analyzing markets.
Alt Trading: Regime Detection
A clean, high-performance trend and regime-detection indicator powered by volatility-based analytics. It features an intuitive on-chart status table that identifies favorable conditions for long setups, short setups, or periods where staying flat is might be optimal—helping traders align their strategy with evolving market dynamics.
Options Strategy Engine (RS)Options Strategy Engine — Invite-Only Script
Overview
The Options Strategy Engine is an automated decision system for Indian index options ( NIFTY, BANKNIFTY, FINNIFTY & SENSEX ).
It reads live market conditions and instantly suggests the most suitable options strategy based on volatility, trend, support–resistance, expiry timing, and risk environment .
What the Engine Does (High-Level Overview)
It automatically scans:
* Volatility :VIX, IV percentile, expected range
* Trend: EMA, ADX strength, trending vs ranging
* Market Structure: Support/resistance, ATR, breakout conditions
* Context: Days to expiry, weekend effect, expiry week, hedge necessity
Based on this, the engine selects one actionable, liquid, risk-defined strategy.
Possible Strategy Outputs
* Directional: Bull Call Spread, Bear Put Spread, Bull Put Spread, Bear Call Spread, Ratio Spreads
* Neutral: Iron Fly, Iron Condor, Hedged Straddle/Strangle
* Volatility: Long Straddle, Call/Put Calendars
* Delta-Neutral: DN-1, DN-2, DN-3
* Special: Weekend 3-Leg Straddle, Expiry Iron Fly, Breakout Spreads
Key Features
* Auto strategy selection — no manual input needed
* Auto strikes: ATM + OTM wings based on index step
* POP (Probability of Profit) estimate
* Margin estimate & lot guidance
* Built-in Greeks
* Smart stoploss row (turns RED if breached)
* Clean right-side dashboard showing all details at a glance
Important
* All suggested structures are hedged
* Not a buy/sell signal tool
* For education & research only
* No guaranteed returns
🔒 Invite-Only Access
To request access:
1. Send your TradingView username
2. Send the request to:
📩 ritu.roo@gmail.com
Your TradingView ID will be added manually.
Unauthorized sharing, copying, or redistribution of this script is strictly prohibited.
Alt Trading: FuturesOne
The FuturesOne Indicator + Strategy will be continuously enhanced to ensure our users receive the most effective and profit-focused trading system at the best possible value. Version 0 (V0) of the FuturesOne Strategy is built on a refined Opening Range Breakout (ORB) framework, augmented with a quantitative regime-detection and filtering layer. This design allows users to tailor their approach: they may opt for consistent daily ORB opportunities or select a mode that applies quantitative filters to surface fewer, but higher-probability, trade setups.
Trend Architect OverlaysOverview
Trend Architect Overlays is a comprehensive technical analysis suite that combines multiple advanced overlay indicators into a single tool. Designed for traders who want a clean, professional chart with powerful trend identification, dynamic channels, and intelligent candle coloring, this indicator adapts to your trading style with configurable components.
The indicator features four main components that work together to provide a complete market analysis framework:
Trend Cloud - Volatility-adaptive cloud for trend identification
Moving Average Ribbon - Dual moving average lines for dynamic support/resistance
B3AR's Super Channel - Multi-function channel with adaptive width
Intelligent Candle Coloring - Five different algorithms for visual trend analysis
Each component can be enabled or disabled independently, allowing you to create the perfect setup for your trading strategy.
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Color Profile System
Before diving into individual tools, it's important to understand the color profile system that unifies all visual elements of the indicator. Choose from 7 distinct color profiles. The selected color profile automatically applies to all indicator components, ensuring visual consistency across your chart.
Trend Cloud
What It Is
The Trend Cloud is an adaptive overlay that uses multiple moving averages to create a dynamic zone representing the market's trend strength and direction. Unlike traditional moving average clouds, this cloud automatically adjusts its width based on market momentum and volatility.
Not only does the Trend Cloud effectively identify trend direction, but it also acts as a strong support and resistance area.
How to Use It
1. Trend Identification: Use the cloud color and price position to identify the primary trend
2. Support/Resistance: The cloud edges act as dynamic support (in uptrends) and resistance (in downtrends)
3. Trend Strength: Monitor cloud width - expanding clouds suggest momentum building, contracting clouds suggest momentum fading
4. Entry Signals: Look for pullbacks to the cloud edge during strong trends
5. Exit Signals: Consider exits when price crosses through the cloud against the trend
Pro Tips
- Combine with Moving Average Ribbon for confluence at key levels
- Use the cloud as a "trend filter" - only take trades in the direction of the cloud color
- Watch for "cloud flips" (color changes) as potential trend reversal signals
- A relatively flat Trend Cloud can be interpreted as a ranging market
Moving Average Ribbon
What It Is
The Moving Average Ribbon consists of two Arnaud Legoux Moving Average (ALMA) lines that create a dynamic ribbon for identifying trend direction and strength. ALMA is known for its reduced lag and smoother response compared to traditional moving averages.
How It Works
Both lines use the same base length but different offset and sigma parameters to create a subtle separation that forms a ribbon. The space between them fills with color to create a visual ribbon effect.
How to Use It
1. Trend Direction: The ribbon color indicates the current trend direction
2. Dynamic Support/Resistance: The ribbon edges act as support in uptrends and resistance in downtrends
3. Momentum Gauge: Width between the lines indicates trend strength
4. Crossover Signals: When the lines cross, it suggests a potential trend change
5. Pullback Entries: Look for price to touch the ribbon during trends as entry opportunities
Pro Tips
- Lower ribbon length (10-15) for faster, more responsive signals on lower timeframes
- Higher ribbon length (30-50) for smoother signals on higher timeframes
- Use ribbon color as a "permission slip" - only take longs when ribbon is bullish
- Watch for price to "respect" the ribbon - bounces off the ribbon confirm trend strength
B3AR's Super Channel
What It Is
B3AR's Super Channel is an advanced dynamic channel that combines multiple momentum and volatility calculations into a single adaptive channel. The channel includes special highlights when price is especially overbought or oversold.
How to Use It
1. Dynamic Support/Resistance: Use channel lines as key levels for entries and exits
2. Overbought/Oversold: Price at channel extremes suggests potential mean reversion
3. Trend Confirmation: During strong trends, price will "ride" one edge of the channel
4. Breakout Detection**: Price breaking outside the channel suggests unusual strength/weakness
Pro Tips
- Use highlighted lines as extreme caution zones - reversals are likely
- Combine with Trend Cloud - when both agree, signals are stronger
- In ranging markets, fade extremes (buy at bottom, sell at top)
- In trending markets, use channel as trailing stop
- Increase ATR Distance in volatile markets, decrease in calm markets
Intelligent Candle Coloring
What It Is
Intelligent Candle Coloring replaces standard candle colors with algorithm-driven colors that reveal the underlying market structure. Five different methods are available, each analyzing different market characteristics.
Method 1 : None
Standard candle coloring - use this if you prefer traditional candle colors.
Method 2 : CVD Trend Algo (Rule-Based)
This method uses Cumulative Volume Delta (CVD) combined with Heikin Ashi smoothing and Kalman filtering to create a sophisticated trend-following color system.
Method 3 : CVD Trend Simple (Size-Based)
Similar to CVD Trend Algo but uses Z-score analysis instead of rules for color assignment.
Method 4 : CVD Raw
A simplified version that uses raw CVD percentile ranking for immediate visual feedback.
Method 5 : Volatility Adaptive
Uses Kaufman's Adaptive Moving Average to color candles based on adaptive trend strength.
How It Works:
- Calculates three KAMA lines (fast, medium, slow)
- Colors determined by the relationship between these KAMAs
Method 6: Trend Strength (TRAMA)
Uses Triangular Moving Average with ATR-based adaptation for trend strength analysis.
How It Works:
- Calculates three TRAMA lines (fast, medium, slow) that adapt to volatility
- Similar logic to KAMA method but more responsive to volatility changes
Pro Tips
- CVD methods work best on liquid assets with high volume
- Adaptive methods (KAMA/TRAMA) work better on trending markets
- Match the method to your timeframe: CVD Raw for scalping, CVD Trend Algo for swing trading
- Use weak colors as warnings - trend may be losing steam
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Credits and Disclaimers
This indicator combines numerous advanced technical analysis techniques into a cohesive overlay system. The B3AR's Super Channel component incorporates proprietary oscillator consensus methodology.
Disclaimer: This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Golden CrossoverThis gives you and indication on chart whenever we have a cross over of EMAs of choice...
MAHI Indicator v9.5 - Smart Momentum HUD + IntradayMAHI Indicator v9.5 — Smart Momentum HUD (Multi-Framework + Intraday Engine)
A Complete Momentum, Trend, and Setup Framework for Swing, Position & Intraday Traders
MAHI v9.5 is the most advanced version yet — a highly optimized, visual, multi-framework trading system that blends momentum, trend alignment, adaptive setup detection, and now Auto-Intraday Mode for short-term traders.
This indicator acts like a Heads-Up Display (HUD) on your chart: it shows trend strength, squeeze zones, dynamic support/resistance, EMAs, setup validation, and early reversal signals in one clean interface — without clutter.
✔ Core Features
📌 1. Smart Momentum Ribbon
A dynamic EMA-based momentum band that visually shifts as trend strength changes.
Helps identify strong vs. weak momentum zones
Adapts to volatility & trend slope
Works on all timeframes (1m to 1M)
📌 2. EMA 9 → 21 Flip System
A precision trend-switching signal:
EMA 9 → 21 BULL = early bullish momentum
EMA 9 → 21 BEAR = early bearish momentum
More reliable than stand-alone MA crossovers
📌 3. Bullish Setup Engine (Standard + Weak)
Automatically identifies when price is entering a reversal-ready state based on:
Position relative to the ribbon
Candle structure
Momentum compression
Slope + exhaustion conditions
Includes:
Bull Setup (Standard) — Higher probability setup
Bull Setup (Weak) — Early or less developed setup
Setup Invalidated — Confirms that the pattern failed
This prevents false confidence & keeps traders disciplined.
📌 4. Strong Buy / Strong Sell Signals
Only appear when multiple confirmations align:
Ribbon bias
EMA slope
Momentum compression
Trend alignment
Filtered to remove noise — especially in lower timeframes.
📌 5. Multi-Timeframe Trend HUD
Top-right panel summarizing:
Overall Trend (Bullish, Bearish, Neutral)
RSI Condition
Daily vs Weekly Alignment
Trading Mode Suggestions (Buy / Sell / LEAPS / Neutral)
This gives instant context.
📌 6. Auto Intraday Engine (NEW in v9.5)
Automatically switches internal logic when you move into intraday timeframes (1m–30m):
Intraday Enhancements:
Adaptive setup detection
Faster momentum sensitivity
EMAs tuned for scalp/swing precision
Tighter invalidation logic
Reduced false positives
Optional strict filtering
Perfect for scalping, day trading & micro-trends
Works instantly — no settings needed.
Just change the chart timeframe and MAHI adjusts.
📌 7. Dynamic High-Timeframe Support (W & M)
Auto-layers weekly & monthly levels:
Helps identify strong bounce zones
Extremely useful for swing & LEAPS traders
📌 8. Weekly Volume Shelf Projection
Lightweight VWAP-style level based on weekly volume aggregation.
Shows probable bottoming areas during pullbacks.
✔ Who This Indicator Is For
Perfect for:
Day traders
Swing traders
Momentum riders
LEAPS & long-term investors
Beginner traders needing a structured system
MAHI adapts to your timeframe and trading style.
✔ Why MAHI Works
MAHI isn’t a single-signal indicator — it’s a framework.
It combines:
Trend
Momentum
Volatility
Setup pattern detection
Validation & invalidation
Multi-timeframe alignment
Dynamic zones
Intraday optimization
This eliminates guesswork and helps traders avoid the emotional traps that cause most losses.
You don’t just get a signal — you get context.
✔ How to Use It
Follow the ribbon bias
Use EMA 9→21 flips as trend confirmation
Look for Bull Setup tags during pullbacks
Avoid trades when you see Setup Invalidated
Respect weekly/monthly HTF support levels
On intraday charts — rely on auto-optimized mode
For swing entries, combine setups with HTF trend HUD
MAHI gives the map. You choose the path.
✔ Final Notes
This version is heavily optimized for performance, clarity, and high-probability signals.
MAHI does not repaint, and works on all assets including:
Stocks
Crypto
ETFs
Forex
Futures
NAS Oracle AlgoThe NAS Oracle Algo is a powerful and versatile daily trading indicator designed to provide clear, automated support and resistance levels for both long and short trading strategies. By calculating a dynamic range based on the previous day's price action, it projects key entry points, stop-losses, and up to six profit targets onto your chart, giving you a complete roadmap for the trading day.
Key Features:
Dual-Sided Strategy: Generates independent levels for BUY and SELL setups, making it effective for both directional and range-bound markets.
Customizable Reference Point: Choose between using the current day's "Open" or the previous day's "Pre Close" as the base for all calculations.
Comprehensive Levels:
Entry Level: The price level to execute a trade.
Stop Loss: A predefined level to limit potential losses.
Profit Targets (1-6): Six incremental take-profit levels, allowing for partial profit-taking strategies.
Multiple Display Options:
Visual Levels & Labels: Clean horizontal lines and text labels are drawn directly on the chart for easy price reference.
Information Table: A highly customizable data table that summarizes all key levels, which can be positioned at the Top or Bottom of the chart and resized.
Flexible Configuration: Toggle the visibility of levels and choose to show either 3 or 6 profit targets to suit your trading style and avoid chart clutter.
How to Use:
Add the Indicator: Apply the "NAS Oracle Algo" to your chart. It works best on daily and intraday timeframes.
Configure Settings: In the indicator's settings, choose your preferred Option (Open/Pre Close), toggle levels and the table on/off, and adjust their position and size.
Interpret the Signals:
BUY Setup: When the price moves above the green "Buy Above" level, consider a long entry.
Stop Loss: Place your stop loss at the BUY_SL level.
Take Profit: Scale out of your position at the six progressively higher target levels (T1 to T6).
SELL Setup: When the price moves below the red "Sell Below" level, consider a short entry.
Stop Loss: Place your stop loss at the SELL_SL level.
Crypto Grid 2025+ Long Only (Asym TP)Crypto Grid 2025+ Long Only (Asymmetric Take-Profit) is a long-only mean-reversion grid strategy designed for intraday cryptocurrency trading.
The core idea is to accumulate long positions as price moves downward within a locally defined price range and to exit positions on upward retracements.
The strategy automatically builds a multi-level grid between the highest and lowest price over a user-defined lookback period (“range length”). Each grid level acts as a potential entry point when price crosses it from above.
Key Features
1. Long-only grid logic
The strategy opens long positions only, progressively increasing exposure as price moves into lower grid levels.
2. Asymmetric take-profit mechanism
Instead of taking profit strictly at the next grid level, the strategy allows targeting multiple levels above the entry point. This increases the average profit per winning trade and shifts the reward-to-risk profile toward larger, less frequent wins.
3. Optional partial take-profit
A portion of each trade can be closed at the nearest grid level, while the remainder is held for a more distant asymmetric target. This balances consistency and profit potential.
4. Volume-based market filter
Entries can be restricted to periods of healthy market activity by requiring volume to exceed a moving-average baseline.
5. Capital-scaled position sizing
Position size is determined by risk percentage, grid spacing, and a dynamic sizing mode (original / conservative / aggressive).
6. Built-in risk controls
global stop below the lower boundary of the range,
global take-profit above the upper boundary,
automatic shutdown after a configurable loss-streak.
Market Philosophy
This strategy belongs to the mean-reversion family: it expects short-term overshoots to revert back toward mid-range liquidity zones.
It is not trend-following.
It performs best in choppy, range-bound, or slow-grinding markets — especially on liquid crypto pairs.
Recommended Use Cases
Short timeframes (1–15 minutes)
High-liquidity crypto pairs
Sideways or rotational price action
Exchanges with low fees (due to higher order count)
Not Intended For
Strong trending markets without pullbacks
Assets with thin order books
Use with leverage without additional risk controls
Summary
Crypto Grid 2025+ Long Only (Asymmetric TP) is a refined grid-based mean-reversion strategy optimized for modern crypto markets. Its asymmetric take-profit framework is specifically engineered to reduce the classical issue of “small wins and large occasional losses” found in traditional grid systems, giving it a more favorable long-term trade distribution.
