Trendanalyse
BB TrendDisclaimer: This Script works on daily chart for stocks. No SELL signal offered.
How to Use:
If BUY signal is shown on the chart, please take entry in the beginning of next candle.
please comment, if you find this useful.
VMS Multi Index Options Buying IndicatorDetailed User Guide
This system is a multi-faceted toolkit designed for traders who use options. It synthesizes information from the underlying asset, specific call and put options, and market structure to generate a consolidated view.
Core Philosophy:
The tool is built on the principle of "Multi-Timeframe, Multi-Indicator Confirmation." It avoids relying on a single signal. Instead, it seeks confluence between momentum, trend, market structure, and volume data across different components (underlying, call, and put) before suggesting a trade.
1. The Legal Agreement & Setup
Getting Started: The first thing you will see is a mandatory disclaimer. You must type "agree" into the input field to activate the indicator and acknowledge the associated risks.
Defining Your Instruments: The core of the setup is specifying the two options you want to analyze.
Call Option Symbol: Input the specific symbol for the call option you are tracking.
Put Option Symbol: Input the specific symbol for the put option you are tracking (typically, these would be similar strike prices and expiry).
2. Understanding the Primary Signal
The main trading signal is derived from a multi-index analysis applied separately to your chosen call and put options.
The Histogram (Momentum Gauge):
You will see two histograms (bar charts) on the main panel.
The top section (above the zero line) represents the Call Option's momentum.
The bottom section (below the zero line) represents the Put Option's momentum.
Interpretation:
Green Bars (Call) / Red Bars (Put): Indicate a "BUY" signal for that respective option.
Yellow Bars (Call) / Orange Bars (Put): Indicate a "WEAK" or cautionary signal.
Gray Bars: Indicate "NO TRADE" conditions.
The height and position of the bars show the strength and direction of the momentum oscillator.
The Signal Dashboard (Your Command Center):
A table provides a numerical breakdown of the signal strength. This is where you get the "why" behind the colors.
Overall Signal: The final verdict ("BUY CALL", "WEAK PUT", "NO TRADE").
Strength (/7): A score out of 7 for each option. A score of 4 or higher is considered a strong signal. A score of 3 is weak. This score is an aggregate of several factors:
Momentum Oscillator Value & Direction
Momentum above a defined threshold
Short-term vs. Long-term trend alignment
"Squeeze" state (a volatility contraction indicator)
A bonus for fresh momentum crossovers.
Key Takeaway: Look for the option with the higher strength score, and only consider trades when the score is 3 or above, with a preference for scores of 4+.
3. Integrating Market Context
The indicator overlays several other analytical tools to provide context for the primary signal. Confluence with these tools increases the probability of a successful trade.
Support & Resistance (S/R) Lines:
Multiple colored horizontal lines are drawn on the chart, representing key support and resistance levels derived from monthly, weekly, and daily data.
How to Use: Observe the price action relative to these levels. A "BUY CALL" signal that occurs near a major support line (e.g., L0, L1, L2) is significantly more powerful. Conversely, a "BUY PUT" signal near a major resistance line (e.g., L8, L9, L10) carries more weight.
Trend Filter (Intraday Level):
A thick line that acts as a dynamic trend filter.
How to Use: This is a simple but effective filter.
If price is above this line, it suggests a bullish intraday bias. Favor "BUY CALL" signals.
If price is below this line, it suggests a bearish intraday bias. Favor "BUY PUT" signals.
Ignore or be very cautious with signals that go against the Trend Filter.
Volume Analysis Dashboard:
A separate table provides a deep dive into volume data for both the underlying asset and your specified options.
How to Use: This confirms whether money flow agrees with your technical signal.
A "BUY CALL" signal is reinforced if the underlying and the call option are seeing higher buy volume % and more bullish candles.
A "BUY PUT" signal is reinforced if the underlying and the put option are seeing higher buy volume % and more bullish candles.
Call-Put Spread Analysis:
This measures the difference in price between your call and put options.
How to Use:
A rising or positive spread suggests market sentiment is becoming more bullish (calls are gaining value faster than puts).
A falling or negative spread suggests market sentiment is becoming more bearish (puts are gaining value faster than calls).
Use this to confirm the bias of your primary signal.
4. Entry Execution & Risk Management
Entry Timing: The ideal entry occurs when the primary signal triggers ("BUY CALL/PUT") and you have confluence from at least 2 of the 3 contextual factors:
Price is respecting a key S/R level.
The Trend Filter aligns with the signal direction.
Volume and Spread data confirm the momentum.
Built-in Alerts: You can set alerts for the "Buy Call" and "Buy Put" conditions so you are notified when a strong signal triggers.
Risk Management: This is paramount. The indicator does not provide stop-loss or take-profit levels. You must employ your own risk management strategy, such as:
Placing a stop-loss below the recent swing low (for calls) or above the recent swing high (for puts).
Using a fixed percentage or rupee-based risk per trade.
Quick-Reference Cheat Sheet
Step Component What to Look For Action
1 Primary Signal Histogram color & "Overall Signal" in dashboard. Green/Red: Strong signal. Yellow/Orange: Weak signal. Gray: No trade.
2 Signal Strength "Strength (/7)" score in dashboard. ≥4: Strong. =3: Weak/Cautious. <3: Ignore.
3 Market Structure Price relative to S/R lines & Trend Filter. Bullish Confluence: Signal + Price near support + Above Trend Filter.
Bearish Confluence: Signal + Price near resistance + Below Trend Filter.
4 Volume Confirmation Volume Dashboard. Underlying and option should show higher Buy Volume % and more Bullish Candles in the direction of your trade.
5 Sentiment Check Call-Put Spread. Rising/Positive Spread: Confirms bullish bias.
Falling/Negative Spread: Confirms bearish bias.
6 Final Decision Composite of all factors. High-Probability Trade: Strong primary signal (Step 1 & 2) with confluence from Steps 3, 4, and/or 5.
7 Execute & Manage Your Trading Plan. Enter trade. Always use a stop-loss. Take profits based on your predefined plan. The Illusion of the "Perfect Indicator"
The human mind, especially when faced with the complexity and stress of financial markets, seeks certainty. It wants a system that says, "Buy here, sell there, and you will win." This desire creates a dangerous vulnerability: the belief that a tool can replace judgment.
The final note, "This system is designed to inform your decisions, not to make them for you," is a direct antidote to this illusion. Here’s a breakdown of what that truly means:
1. The Tool is a Compass, Not an Autopilot
Think of this indicator as a high-tech compass on a ship. It can tell you:
The direction of the wind (momentum).
The depth of the water (support/resistance).
The set of the currents (trend).
The activity in other nearby vessels (volume).
But it cannot:
Steer the ship for you.
Decide when to reef the sails in a sudden storm (volatility spike).
Choose the final destination (your financial goals).
Abandon ship if it starts to sink (your risk management).
You are the captain. The tool provides superb data, but you must synthesize it with experience, intuition, and an overarching strategy. Blindly following any signal, no matter how strong, is like setting your autopilot in a crowded shipping lane and going to sleep.
2. The Gap Between Signal and Execution
A "BUY CALL" signal is a moment in time. Your execution is another. The market is a dynamic, living entity. What was true at the close of the candle when the signal generated may not be true 30 seconds later when your order is placed.
Slippage: The price you get vs. the price you see.
Gaps: The market can open beyond your risk parameters.
Latency: The signal is historical; you are trading in the present.
Your skill lies in navigating this gap. The indicator highlights a potential opportunity, but your discipline in order placement, patience for the right entry, and ability to abort a setup that "looks wrong" in real-time are what separate professionals from amateurs.
3. The Context is King (And the Indicator Can't See Everything)
No indicator has access to the full context of the market.
Macro-Events: Is there a central bank announcement in 30 minutes? The indicator doesn't know. You should.
Earnings: Did a major sector company just report disastrous earnings, changing the sentiment for the entire index?
Global Cues: Are international markets crashing?
A signal might be technically perfect but fundamentally suicidal given the broader context. You are the one who must bring this macro-awareness to the table. The tool provides a micro-view; you provide the macro-view.
4. The Psychology of the Trader is the Ultimate System
This is the most important element. You can have the best tool in the world, but if your mind is not trained, you will lose.
Confirmation Bias: The tool gives a "WEAK PUT" signal, but you are already bearish. You interpret it as a "STRONG PUT" and over-leverage.
Hope & Fear: A trade goes against you. The indicator might still be holding its signal, but your fear triggers an early exit. Or conversely, a "NO TRADE" signal appears, but your hope for a win makes you enter anyway.
Revenge Trading: After a loss, you ignore the "NO TRADE" signal and jump into the next setup to "win your money back."
The indicator is a logic-based system. Trading is a psychological endeavor. The tool can suggest what to do, but it cannot give you the discipline to follow through or the wisdom to deviate when necessary.
In Essence:
Using this powerful system without the final note in mind is like giving a masterfully crafted, precision sniper rifle to someone who has never been taught to breathe steadily, account for wind, or manage their trigger squeeze. The rifle is capable, but the outcome is entirely dependent on the skill and discipline of the person holding it.
Therefore, use the tool to:
Focus your attention on high-probability setups.
Provide a framework for your analysis.
Save time on manual calculations.
But never abdicate your responsibility to:
Apply sound risk management on every single trade.
Maintain emotional discipline.
Consider the broader market context.
Make the final call.
The ultimate goal is not to find a system you can follow blindly, but to use tools like this to become a more informed, disciplined, and self-aware trader. The indicator is a part of your edge; you are the source of it.
MagFlow X: @Cissora <--MagFlow Trend is a premium trend model created as a quantitative counterpart to widely used commercial indicators. Its structure draws from exchange-oriented analytical concepts to establish a flexible, noise-resistant framework for directional movement. The design prioritizes clarity, reduced lag, and responsiveness across varying market conditions. Developed from original research and external visual models, MagFlow Trend is engineered to reflect a more mathematically disciplined trend engine.
DW's Top and Bottom FinderDW’s Top and Bottom Finder is a precision-engineered volatility model built to reveal moments of extreme market imbalance—points where fear or euphoria stretch price beyond natural limits. These extremes often mark the earliest phase of major reversals, and this tool is designed to help you spot them with clarity and confidence.
Using a dual-direction volatility engine, the indicator identifies when price accelerates sharply away from its recent structure.
• Green signals highlight potential capitulation zones where downside pressure becomes unsustainably high.
• Red signals reveal potential exhaustion zones where upside momentum begins to lose integrity.
A three-mode system—Bottoms, Tops, or Both—lets you tailor the tool to your style, whether you trade reversals, mean-reversion setups, or simply want early warning signs before trend shifts. Optional percentile ranges and deviation bands visually reinforce each signal, providing a multi-layered read on volatility extremes.
DW’s Top and Bottom Finder is built for traders who value precision, adaptability, and an objective lens on market behavior. It works across all timeframes and asset classes, offering a clean and dependable framework for identifying high-energy turning points long before conventional indicators confirm them.
HMA+RVOL Strategy Hariss 369The Hull Moving Average (HMA) is a smooth, fast, and highly responsive moving average created by Alan Hull. It reduces lag significantly while still maintaining smoothness, making it one of the most popular tools for trend detection and entries. It is widely used for trend filter. Hull Moving Average(HMA) with RVOL strengthens the trend as volume is prime factor of price movement.
Trading with HMA: Simple method is buy when price closes above HMA , stop less below the low of last candle and target is 1.5 or 2 times of stop loss. The reverse is for sell. The HMA automatically turns to green on bull trend and red on bear trend for better visual confirmation.
Adding RVOL to HMA is better method of trading. Buy signal is initiated when price closes above HMA and RVOL is greater than 1.2. Sell signal is initiated when price closes below 89 HMA and rovl is greater than 1.2. One can change the value of RVOL according to trading style and type asset being traded.
It is a back tested strategy.
Alos Volume Profile Candles (SVP)ALOS Volume Profile Candles (SVP)
Summary
IMPORTANT: This indicator is designed to be used only with TradingView's 'Session Volume Profile' chart type. It will not work correctly with standard candle charts.
This indicator powerfully visualizes intra-session price action by dividing a single session profile into a specific number of equal-sized synthetic candles.
Instead of viewing a session as one single block, you can now break it down into parts (like quarters or thirds) to see how price behaved during each segment of the profile.
Key Features
Custom Session Slicing: Set "Candles per session" to 4 to see the session in quarters, 6 to see it in sixths, or any number you choose.
Full Session Control: Works perfectly with any custom session time, including complex overnight sessions (like '1800-1700' for CME crypto futures)
Accurate OHLC Calculation: Each synthetic candle correctly calculates and displays its own Open, High, Low, and Close for its specific time slice.
Clean Charting: Use the "Keep last sessions" input to control how many old sessions are drawn, preventing chart clutter and keeping your analysis focused on recent price action.
How to Use
On your TradingView chart, change the chart type to "Session Volume Profile".
Add the "ALOS Volume Profile Candles (SVP)" indicator to your chart.
Set your desired Session time in the indicator settings (or keep the default).
Choose the number of Candles per session you want to divide it into.
Adjust Keep last sessions to control how much history is displayed.
This tool is ideal for traders who want to analyze price behavior during the opening, middle, and closing parts of a session, or for breaking down long 24-hour crypto sessions into more manageable chunks.
4H True S&R • 2 Nearest Above + 2 Nearest Below simple indicator paints the 2 SR levels above and below price, saves me time
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.
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.
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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
