Bollinger Bands with 3SD Volume SegmentationPurpose
This script provides a structured way to analyze how real traded volume distributes across the different volatility zones defined by Bollinger Bands with three standard deviations, it reveals where activity concentrates, how pressure shifts between buyers and sellers, and how market participation behaves as price moves through expanding or contracting volatility regimes. The tool turns the bands into a mechanical segmentation system that exposes the microstructure hidden inside each volatility layer.
How it works
The script calculates Bollinger Bands at one, two, and three standard deviations, then assigns every bar’s volume to the correct volatility zone based on where price closed, it reconstructs buy and sell volume from candle behavior, computes delta as the difference between them, and aggregates these values over the chosen lookback window. Each zone displays total volume, delta, and a dominance percentage that expresses how strongly buyers or sellers controlled that region, all updated dynamically on the most recent bar. For example, if the Mid–U1 zone shows 28,450 contracts with a –2,728 delta and –9.59% dominance, that indicates mild seller control in a normally balanced rotation area, while the L1–Mid zone showing 10,606 contracts, +1,816 delta, and 17.12% dominance signals buyers absorbing pressure and defending the pullback.
Rationale
Volatility zones behave like natural boundaries where liquidity concentrates, where traders commit, hesitate, or get trapped, and where expansions or reversals often originate, so segmenting volume and delta by these zones provides a clearer picture of intent and pressure than raw volume alone. By quantifying how much buying or selling occurred in each volatility layer, the script helps identify continuation, absorption, exhaustion, and imbalance, giving traders a mechanical, objective map of market behavior rather than relying on subjective interpretation.
Indicadores y estrategias
3 EMA Kesisim-Canengin15 dakikalık grafiklerde ema 8 in sırasıyla 21 ve 50 yi kesmesi ile alim satim sinyali üretir
Quantitative Trend and Sector DashboardQuantitative Trend and Sector Dashboard
Overview
The QTS Dashboard is a visual market context tool that summarizes relative strength, benchmark comparison, volatility normalization, and sector participation in a compact on-chart display.
It is designed for analysis and situational awareness rather than trading signals or automated decisions.
What makes it different
Most relative strength tools compare symbols only to a broad index.
This dashboard automatically assigns a relevant sector or industry benchmark based on ticker membership, enabling like-for-like comparison with similar instruments.
The result is a multi-factor view of trend participation rather than a single metric.
Core components
• Benchmark Detection
Maps symbols to sector or industry ETFs to improve comparison relevance.
• Beta Normalization (252 bars)
Beta is calculated using covariance and variance to scale thresholds according to typical volatility.
• Dual Range Tracking
Measures distance from 52-week highs and lows to show position within the yearly cycle.
• Sector Participation Scan
Evaluates major SPDR sectors and lists those currently meeting configurable strength criteria.
• ATR Extension
Quantifies price distance from midpoint using ATR to highlight statistically extended moves.
Math summary
• Relative Spread = Benchmark %BelowHigh − Symbol %BelowHigh
• Beta = Covariance / Variance
• Adjusted Threshold = Base × Beta
• Extension = (Price − Midpoint) / ATR
All calculations use confirmed bars. No intentional repaint logic.
Status states
• Leader — stronger relative performance
• Neutral — in line with benchmark
• Lagging — weaker relative performance
• Extended — large volatility stretch
States describe context only.
How to use
• Compare Spread and Beta for relative positioning
• Monitor sector list for participation breadth
• Use extension values to gauge stretch conditions
• Adjust timeframe and thresholds to match your workflow
• Show, hide, or reposition the dashboard as needed
Example charts
Disclaimer
Educational and informational only.
This indicator does not provide buy or sell signals or investment advice.
Trading involves risk.
Volatility Visualizer Percentiles (VIXFix, ATR, VIX)Summary
A volatility regime dashboard for liquid instruments that converts three volatility lenses into 0 to 100 percentile ranks versus the last 252 closed daily bars. It is built to answer one question: is volatility unusually low or unusually high relative to the last year . Use it to adjust position sizing, stop width, and trade selectivity. It is not a directional signal.
Scope and intent
Markets : US indices and index ETFs, index futures, large cap equities, liquid crypto proxies, and other symbols where daily volatility regimes matter
Timeframes : best on Daily. It can be applied on other chart timeframes, but the reference window remains 252 closed daily bars
Default demo : SPX on Daily
Purpose : provide a simple, testable volatility context layer that you can plug into any daily system as a risk filter or risk scaler
What makes it original and useful
Most “volatility tools” show raw ATR or a single volatility index. This script standardizes three distinct sources into the same unit (percentile), so you can compare them and combine them without guessing thresholds.
Unique fusion : internal realized volatility (ATR%), internal stress proxy (VIXFix), and external implied volatility (input VIX symbol) expressed in the same 0 to 100 scale
Practical outcome : the table gives a regime read and an action posture, so the output is directly usable for risk decisions
Testable : all components are visible and thresholdable; you can backtest rules like “only trade when composite is between 30 and 75”
Portable : percentiles remove the need to hardcode market specific “ATR is high” numbers across different symbols
Method overview in plain language
Base measures
VIXFix : a price based fear proxy derived from the instrument’s own daily behavior (using the relationship between recent high closes and current lows)
ATR% : daily ATR normalized by daily close, expressed as a percentage for cross symbol comparability
External VIX : a user selected volatility index or proxy pulled via input symbol (default CBOE:VIX)
Normalization to percentiles
For each metric, the script stores the last 252 closed daily values
It then computes where the most recent closed daily value sits inside that history as a percentile from 0 to 100
Tie handling is configurable (Midrank, StrictLess, LessOrEqual) to define how repeated values are ranked
Fusion rule
Composite percentile is the simple average of the available percentiles (VIXFix, ATR%, VIX)
If one component is missing (for example the external symbol is unavailable), the composite averages the remaining components
How to use it on Daily
This tool is most effective as a risk regime layer on top of an existing strategy. Use the Composite row as the primary dial, and the individual components as confirmation.
Recommended operating zones
0–20 Very Low : quiet regime. Tight stops often survive, but breakouts can underperform. Favor mean reversion or require stronger breakout confirmation.
20–40 Low : constructive for many systems. Use baseline sizing and baseline stops.
40–60 Mid : neutral. Run your base playbook.
60–80 High : volatility expansion. Reduce size and widen stops, or trade only higher quality setups.
80–100 Very High : stress regime. Smallest size, widest stops, and skip marginal setups. Gap risk and slippage risk are higher.
How to interpret disagreements
If ATR% is high but VIX is mid , realized vol is elevated but the market is not pricing extreme fear. Treat as a caution zone, not panic.
If VIX is high but ATR% is mid , implied vol is elevated ahead of potential events. Expect expansion risk even if realized vol has not moved yet.
If all three are high , treat it as a full stress regime and enforce strict risk limits.
What you will see on the chart
A compact table with one row per metric and optional composite
For each row: last closed daily value, 252D percentile, a progress bar, and an action posture
Optional stats: min, median, max for the 252D window (useful for sanity checks, adds CPU)
Table fields quick guide
Last closed daily : the value used for ranking, taken from the last fully closed daily bar
252D percentile : where the current reading ranks versus the last 252 closed daily readings
Bar : quick visual map of percentile from 0 to 100
Action : risk posture suggestion tied to the percentile bucket
Inputs with guidance
Core
Window (closed daily bars) : default 252. Higher values make the regime slower and more structural. Lower values make it more reactive.
VIX
VIX symbol : default CBOE:VIX. You can replace it with another implied volatility proxy appropriate for your market.
VIXFix
VIXFix lookback : typical range 21/22. Smaller reacts faster, larger smooths regimes.
ATR
ATR length : typical range 10–21 on Daily
ATR as % of close : recommended on for comparability across symbols and long history
UI
Show composite volatility score : recommended on. Best single dial.
Show action guide : recommended on if you want direct posture cues.
Show min, median, max : optional. Useful for diagnostics, higher CPU.
Table position : place it where it does not cover price.
Usage recipes
Daily trend following overlay
Trade your trend system normally when Composite is between 25 and 75
If Composite is above 75, reduce size and widen stops, and require stronger trend confirmation
Daily mean reversion overlay
Focus on Composite below 40
Avoid Composite above 80 where gaps and cascading moves reduce mean reversion reliability
Daily risk parity style scaling
Use Composite percentile as a coarse risk throttle: higher percentile equals lower exposure
Example posture: 0–40 normal exposure, 40–80 reduced exposure, above 80 minimal exposure
Alerts
This script is intentionally a dashboard and does not emit buy or sell signals. If you want alerts, create them from percentile thresholds in your own fork. For conservative workflows, trigger alerts on bar close.
// Example alert conditions (add to your fork if desired)
high_vol = comp_pct > 80
low_vol = comp_pct < 20
Honest limitations and failure modes
This is not a directional predictor. Volatility can rise in both bull and bear markets.
Percentiles are relative to the last 252 closed daily bars. A “high percentile” is high versus recent history, not an absolute guarantee of future movement.
Implied volatility (VIX) can move ahead of realized volatility (ATR%). Treat divergence as information, not a signal.
Very high volatility regimes can include gap risk and slippage risk that are not visible in indicator values alone.
Legal
Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use.
XAUUSD Clean Sell Model🧠 What This Indicator Actually Is
This is a Smart Money–based directional model for XAUUSD, designed to:
Define where NOT to buy
Identify high-probability sell locations
Keep the chart clean and decision-focused
Trade structure → level → confirmation, not indicators
It is NOT a signal spam tool.
It’s a bias + confirmation framework.
1️⃣ Key Levels (Foundation of the Model)
🔴 Sell Level — 4930
This is the decision line
Below this level → sell-side bias only
Above this level → no trades / wait
👉 The indicator never sells blindly at 4930
It waits for structure confirmation
That’s why you see sells only after price breaks structure
🟠 Resistance — 5600
Macro invalidation level
If price accepts above 5600, the whole sell idea is wrong
This protects you from fighting strong trends
Smart money rule:
Bias must be invalidatable
🟢 Support Zone — 4350 → 4300
This green zone is NOT for buying aggressively.
It represents:
Higher-timeframe demand
Profit-taking area for shorts
Where sell pressure historically weakens
That’s why all sell labels target this zone.
2️⃣ Break of Structure (BOS) — The Core Trigger
What BOS Means Here
A Bearish BOS occurs when:
Price closes below a previous swing low
This confirms trend weakness
Smart money has likely distributed longs
In your chart:
BOS appears after the top
Not during consolidation
Not randomly
That’s intentional.
📌 No BOS = No trade
Why You See Fewer BOS Labels
Earlier versions were noisy.
This one shows only meaningful structure breaks.
That’s how professionals trade:
One break → one decision
3️⃣ Fair Value Gap (FVG) — Entry Refinement
What the FVG Represents
An FVG forms when:
Price moves too fast
Leaves an inefficiency
Institutions often retrace into it
In this model:
Only bearish FVGs are used
Only after BOS
Only near the sell zone
So you’re not chasing price.
You’re waiting for premium re-entry.
How to Use It
BOS happens → confirms sell bias
Price retraces into FVG
Entry near sell level (4930)
Target support zone
This is precision, not prediction.
4️⃣ Sell Labels — Why They Appear Where They Do
A SELL label appears ONLY when all conditions align:
✔ Price below 4930
✔ Bearish BOS confirmed
✔ Market shows rejection / imbalance
That’s why:
You don’t see sells everywhere
You don’t see sells in ranges
You don’t see sells near support
Each sell is a complete idea, not a suggestion.
5️⃣ Why This Indicator Looks “Quiet”
That’s a feature, not a problem.
Most traders lose because:
Too many signals
Too many indicators
No clear bias
This model answers only 3 questions:
Where is price relative to key levels?
Has structure confirmed my bias?
Where is my logical target?
If those aren’t aligned → do nothing
6️⃣ How a Professional Would Trade This
Higher Timeframe (H1 / H4)
Use indicator to define bias
Mark BOS + FVG
Plan the trade
Lower Timeframe (M5 / M15)
Enter on:
Rejection
Weak highs
Liquidity sweep into FVG
Stop above structure
Target 4350 → 4300
7️⃣ What This Indicator Is NOT
❌ Not a buy/sell robot
❌ Not a scalping tool
❌ Not meant to be traded every day
❌ Not for emotional trading
It’s a framework, not a crutch.
🧠 Final Mentor Take
This indicator teaches you:
Patience
Structure awareness
Risk discipline
Directional clarity
If you trade it correctly:
You’ll trade less — and make more.
SolQuant WatermarkSignificance
The SolQuant Watermark is a layout management utility designed to improve chart ergonomics by organizing metadata into a persistent UI layer. By utilizing the Pine Script table functions, the tool ensures that essential contextual data remains anchored to the display area, preventing visual clutter during historical price action analysis.
Calculations & Methodology
Unlike standard labels or drawing objects which are anchored to specific price-time coordinates, this utility utilizes the Table API .
Coordinate Independence: The table logic renders objects relative to the screen dimensions rather than the price scale. This ensures the information remains visible regardless of vertical or horizontal scrolling.
Dynamic Metadata Injection: The script utilizes built-in variables ( syminfo.tickerid , timeframe.period ) to automatically update the UI with current asset data, ensuring data integrity across multiple chart layouts.
Screen Real Estate Optimization: The layout engine uses an anchoring system (9-point grid) to prevent overlap with technical indicators or price action.
Features
9-Point Anchor System: Allows for precision placement at any screen corner or center point to optimize workspace efficiency.
Adaptive Scaling: Includes 5 pre-configured scale settings to maintain readability across various device resolutions.
Visual Configuration: Full control over background opacity and border styles to align with specific "Dark Mode" or presentation philosophies.
Usage
Organization: Use the "Quote Text" field for internal notes or community identifiers.
Contextual Awareness: Enable "Symbol Info" to keep track of assets and timeframes during multi-chart analysis sessions.
Disclaimer
This is a visual utility tool intended for chart organization. It does not provide trade signals or financial advice.
Borna High/Low📌 Borna High/Low
Borna High/Low is a clean and precise indicator that automatically plots the Asian session High and Low levels on GER40 (DAX) directly on the price chart.
It is designed for traders who use the Asian range as a liquidity zone and as a key reference for Frankfurt and London open trading strategies.
🔍 What this indicator does
Automatically calculates Asia High and Asia Low
Draws levels directly on the price chart (overlay)
Optional line extension to the right or both sides
Optional mid-line between High and Low
Session-end labels for clear visual reference
Stable plotting that does not shift when zooming
⏰ Session Settings
Default Asian session: 00:00 – 07:00
Fully customizable time window (e.g. 00:30 – 07:00)
Timezone support (recommended: Europe/Berlin for GER40)
⚙️ Customization
Line style: Solid / Dashed / Dotted
Line width
Extend mode: Right / Both / None
Toggle mid-line
Toggle session labels
📈 How to use
Use Asia High / Low as:
Liquidity targets
Range boundaries for London breakouts
Premium / Discount reference levels
Ideal for scalping and intraday trading on GER40
Daily Pivot Points [Anatmart]Daily Pivot Points Indicator calculating the pivot points of previous day in a price chart. It shows support and resistance pivot points of today in Labels and Tables.
To calculate the standard, or floor, pivot point levels, we proceed this way:
H = maximum price of the previous day
L = minimum price of the previous day
C = close of the previous day
PP = (H + L + C) / 3
Level Formula
Resistance 3: R3 = R2 + (H - L)
Resistance 2: R2 = (PP - S1) + R1
Resistance 1: R1 = (2 * PP) - L
Support 1: S1 = (2 * PP) - H
Support 2: S2 = PP - (R1 - S1)
Support 3: S3 = S2 - (H - L)
CAVA MEJORA FINALWhen a BUY (COMPRA) label appears, the script has verified 5 simultaneous conditions:
Bullish Crossover: 5 EMA > 10 EMA on the daily chart.
Daily Slope: Both daily EMAs are rising.
Weekly Slope: The 5 Weekly EMA (Yellow) is rising.
Momentum: The Weekly Stochastic is in an ascending phase.
Institutional Confirmation: Volume is higher than the 20-day average.
The Volume Factor (Label Size):
Small: Standard volume (>1x average).
Normal: Strong volume (>1.5x average).
Large: Massive capital entry (>2x average). Always prioritize Normal and Large signals.
Institutional ROC + Z-Score HeatmapInstitutional ROC + Z-Score Heatmap
Identifies statistically significant daily price moves by calculating the z-score of the rate of change (ROC) against a configurable historical lookback period. Designed for cross-asset regime monitoring and volatility detection.
How it works:
Calculates the daily percentage change (ROC)
Compares that move to the historical distribution of daily moves
Expresses the result as a z-score (standard deviations from the mean)
Color coding:
Teal: Extreme positive move (>3σ) — rare upside, potential blowoff top
Red: Extreme negative move (<-3σ) — rare downside, potential capitulation
Orange/Lime: Warning zone (2-3σ) — unusual but not extreme
Gray: Normal volatility — nothing actionable
Use cases:
Identify regime shifts across asset classes (equities, crypto, commodities)
Spot potential mean-reversion setups after extreme moves
Monitor cross-asset risk appetite (BTC, XBI, SPY) for tactical hedging signals
Recommended settings:
ROC Length: 1 (daily moves)
Lookback: 252 (1 year) for stable assets, 60-90 for volatile biotech
Time SessionTime Session is a lightweight indicator to visually highlight up to 3 trading time windows on any chart. It’s built to help you verify sessions precisely (especially when TradingView timezones/session handling can be confusing).
Key Features
3 independent session slots (enable/disable each slot)
Global timezone mode:
EXCHANGE : uses the symbol’s exchange timezone (recommended in most cases)
CUSTOM : use your own timezone string, copy the timezone label shown on your chart (bottom-right corner) and paste it into the CUSTOM field.
Example: `UTC+1`, `UTC+2`, `UTC-5`, etc.
Background highlighting for each slot (custom color + transparency)
Start/End markers at the bottom of the chart:
S1 = Slot 1 Start , E1 = Slot 1 End
S2 = Slot 2 Start , E2 = Slot 2 End
S3 = Slot 3 Start , E3 = Slot 3 End
Data Window debug : `inSlot1`, `inSlot2`, `inSlot3`, `inAny`
How to Use
1. Add the indicator to your chart.
2. Set Timezone Mode to EXCHANGE or CUSTOM .
3. If CUSTOM , paste the chart timezone label (e.g., `UTC+1`)
4. Configure Session Slot 1/2/3 using `HHMM-HHMM` (example: `07:00-18:00`).
5. Use the highlighted background and **S/E markers** to confirm the exact hours.
Good Trading
Money Management Trade Data BoxTrade Data Box - Money Management Indicator
Overview
This indicator provides real-time position sizing and risk management calculations directly on your chart. It displays a clean data box that helps traders maintain disciplined risk management by automatically calculating the optimal number of contracts to trade based on ATR (Average True Range) volatility measurements.
What It Does
The indicator solves a critical problem that many traders face: determining the correct position size before entering a trade. Instead of manually calculating how many contracts to trade based on your risk tolerance and stop loss distance, this tool does all the math for you in real-time.
Key Features
ATR-Based Stop Loss & Target Calculation
Uses the Average True Range to set dynamic stop losses and profit targets that adapt to current market volatility
ATR multipliers allow you to customize how conservative or aggressive your stops and targets are (reasonable reward-to-risk ratio).
Automatic Position Sizing
Calculates exactly how many contracts you should trade to risk a specific dollar amount
Takes into account your defined risk per trade, the instrument's tick value, and the calculated stop loss distance
Updates continuously as market conditions change
Visual Data Box
Displays four critical pieces of information:
Target (ticks): How far your profit target is from entry
Stop (ticks): How far your stop loss should be placed
Risk Amount: Your fixed dollar risk per trade
Contracts: The calculated number of contracts to trade
Customization Options
Adjustable table size for different screen sizes
Six position options to place the box wherever you prefer on your chart
Optional "real close" dots to verify you're seeing actual closing prices if you are using Heiken Ashi Candles.
How Traders Use This
Set Your Risk Parameters: Input your maximum dollar risk per trade (e.g., $200) and the tick value for your instrument (e.g., $0.50 for Micro NQ (MNQ) futures)... verify your tick value before trading to ensure your risk management is correct.
Adjust ATR Settings: Customize the ATR length and multipliers based on your trading style and the instrument's characteristics.
Read the Box Before Trading: Before entering any trade, check the data box to know:
Where to place your stop loss
Where to set your profit target
How many contracts to trade to maintain consistent risk
Execute with Confidence: Enter your trade knowing you're risking exactly the amount you're comfortable with, regardless of how volatile the market is
Why This Matters
Professional traders know that position sizing is more important than entry timing. This indicator ensures you're never over-leveraged during volatile periods or under-leveraged during quiet markets. By basing calculations on ATR, your stops and targets automatically adjust to current market conditions, helping you maintain consistent risk across all trades.
Time Candle Markers (6H / 4H / 1H / 15M)Time candle markers to make it easier to spot timed TPD's and PSP's.
Risk AlignmentRisk Alignment evaluates whether market conditions favor risk-on or risk-off behavior by assessing the alignment of BTC and the OTHERS index.
It uses two independent signals: the direction of the 12/25 EMA stack and price position relative to those EMAs, each classified as bullish, bearish, or neutral.
These signals are combined into a six-state regime framework:
Bullish, Neutral-Bullish, Conflicting, Neutral-Bearish, Bearish, or No Signal
This provides a clear hierarchy of conviction rather than a binary output.
It is designed to function as a top-down macro filter, helping traders gate exposure, size risk, and avoid periods of structural disagreement.
It is best used as a regime context layer, not as a standalone entry signal.
xxmonk. Absolute FractalDescription:
Concept This indicator is a specialized Fractal Time Engine designed for high-precision scalping and swing trading (specifically optimized for NQ/Nasdaq). Unlike standard Fibonacci time zones that drift or overlap, this script creates a strictly nested "Vibration" structure across three timeframes simultaneously. It treats time as a fractal, where smaller cycles are mathematically "imprisoned" within larger cycles.
How It Works The indicator projects the Fibonacci sequence (1, 3, 5, 8, 13, 21, 34, 55, 89, 144) from a single Master Anchor, but creates a hierarchy of containment:
HTF (Higher Timeframe - Red): The Master Cycle (e.g., Daily). These are the hard walls.
MDL (Middle Timeframe - Orange): Nested strictly between HTF milestones. The count resets to "1" instantly at every HTF line and cannot exist past the next HTF line.
LTF (Lower Timeframe - Yellow): Nested strictly between MDL milestones. The count resets to "1" instantly at every MDL line.
Key Features
Strict "Prisoner" Logic: A lower timeframe cycle is physically terminated the moment it hits a higher timeframe milestone. This prevents clutter and ensures the "1" always aligns with the momentum injection of the larger trend.
The "Rigged" Anchor: The math uses an (n-1) offset, ensuring that Milestone "1" sits exactly on the anchor vertical, removing the visual drift found in standard tools.
Dynamic Visibility Engine: To solve TradingView’s 500-label limit, this script uses a smart buffer that only draws labels currently visible on your screen. This ensures that the critical early counts (1, 3, 5) are never deleted to make room for off-screen history.
Tiered Visuals: Labels are automatically stacked at different percentage heights (15%, 8%, 2%) above price to prevent overlap.
Settings & Customization
Master Anchor: Select the exact start time for the cycle.
Timeframes: Fully customizable periods for HTF, MDL, and LTF layers.
Visuals: Individual control over Color, Line Style (Solid/Dash/Dot), Thickness, and Vertical Height for each tier.
How to Use
Set the Master Start Anchor to a significant high/low or session open.
Look for "Confluence Clusters": Areas where an HTF, MDL, and LTF line all land on the same candle often indicate a high-probability reversal or "Rigged" expansion point.
Use the LTF (Yellow) counts for entry timing (1, 3, 5) inside the larger trend direction defined by the HTF (Red) walls.
Euro RS TrackerRelative Strength of European ETFs by Sectors, compared to each other. Timeframes from daily to yearly.
This script was copied from Amphibiantrader.
I am not a coder, so props to him. Just neeed a practical trend identifier for my favorite market.
Make Europe Great Again folks.
[Saga Trading] Moving Average ProThis open-source indicator provides trend and market structure context using multiple moving averages.
It allows traders to visualize several moving averages simultaneously, with configurable calculation methods (EMA, SMA, or RMA), in order to better assess trend alignment, momentum, and structural bias.
Common references such as the 50-period and 200-period averages are included because they are widely observed by market participants. Crossovers between these averages (often referred to as golden or death crosses) are displayed as structural information only and should not be interpreted as trading signals.
The purpose of this tool is to help traders understand market structure and trend context, not to generate entries or exits.
This indicator is intended for educational and analytical purposes and should be used alongside price action and broader market analysis.
AOC Pro - Elite Audited Suite (V6.6)this is one of best indicator for indan market based on option chain volume support and resistance for best result one can follow
Gartley + RSI Div + CDC ActionZone Alert//@version=5
indicator("Gartley + RSI Div + CDC ActionZone Alert", overlay=true)
// --- 1. CDC Action Zone Logic ---
ema12 = ta.ema(close, 12)
ema26 = ta.ema(close, 26)
isBlue = close > ema12 and ema12 < ema26
isGreen = ema12 > ema26
cdcSignal = isBlue or isGreen
// --- 2. RSI Bullish Divergence Logic ---
rsiVal = ta.rsi(close, 14)
lbR = 5 // Lookback Left
rbR = 5 // Lookback Right
minLow = ta.pivotlow(rsiVal, lbR, rbR)
isDiv = false
if not na(minLow)
prevLow = ta.valuewhen(not na(minLow), minLow , 0)
prevPrice = ta.valuewhen(not na(minLow), low , 0)
if rsiVal > prevLow and low < prevPrice
isDiv := true
// --- 3. Gartley Approximation (D-Point Focus) ---
// ส่วนนี้ใช้ ZigZag พื้นฐานเพื่อหาจุดกลับตัว (Simplified for Alert)
sz = input.int(10, "ZigZag Sensitivity")
ph = ta.pivothigh(high, sz, sz)
pl = ta.pivotlow(low, sz, sz)
// เงื่อนไขรวม (Combo Strategy)
// ราคาอยู่ที่จุดต่ำสุดใหม่ (Potential D) + RSI ขัดแย้ง + CDC เริ่มเปลี่ยนสี
buyAlert = isDiv and cdcSignal and not na(pl)
// --- การแสดงผลบนกราฟ ---
plotshape(buyAlert, title="Gartley-CDC Buy", style=shape.labelup, location=location.belowbar, color=color.green, text="BUY SETUP", textcolor=color.white, size=size.small)
// วาดเส้น EMA สำหรับ CDC
plot(ema12, color=color.red, linewidth=1)
plot(ema26, color=color.blue, linewidth=1)
// --- ระบบการแจ้งเตือน (Alerts) ---
if buyAlert
alert("SPA Style Setup Found: Gartley D-Point + RSI Div + CDC Signal!", alert.freq_once_per_bar)
Manus KI TradingManus Machiene Learning Beast – Indicator Description
Settings
Use 1h Chart
Use Regime filter: 0.5
Use ADX 20
Use SMA 200
and be happy...
Overview
Manus Machiene Learning Beast is an advanced TradingView indicator that combines Machine Learning (Lorentzian Classification) with trend, volatility, and market regime filters to generate high-quality long and short trade signals.
The indicator is designed for rule-based, disciplined trading and works especially well for set-and-forget, semi-automated, or fully automated execution workflows.
⸻
Core Concept
At its core, the indicator uses a machine-learning model based on a modified K-Nearest Neighbors (KNN) approach.
Instead of standard Euclidean distance, it applies Lorentzian distance, which:
• Reduces the impact of outliers
• Accounts for market distortions caused by volatility spikes and major events
• Produces more robust predictions in real market conditions
The model does not attempt to predict exact tops or bottoms.
Instead, it estimates the probable price direction over the next 4 bars.
⸻
Signal Logic
Long Signals
A long signal is generated when:
• The ML model predicts a positive directional bias
• All enabled filters are satisfied
• A new directional change is detected (non-repainting)
• Optional trend filters (EMA / SMA) confirm the direction
• Optional kernel regression confirms bullish momentum
📍 Displayed as a green label below the bar
Short Signals
A short signal is generated when:
• The ML model predicts a negative directional bias
• Filters confirm bearish conditions
• A new directional change occurs
• Trend and kernel filters align
📍 Displayed as a red label above the bar
⸻
Filters & Components
All filters are modular and can be enabled or disabled individually.
1. Volatility Filter
• Avoids trading during extremely low or chaotic volatility conditions
2. Regime Filter (Trend vs Range)
• Attempts to filter out sideways markets
• Especially important for ML-based systems
3. ADX Filter (Optional)
• Trades only when sufficient trend strength is present
4. EMA / SMA Trend Filters
• Classic trend confirmation (e.g., 200 EMA / 200 SMA)
• Ensures trades are aligned with the higher-timeframe trend
5. Kernel Regression (Nadaraya-Watson)
• Smooths price behavior
• Acts as a momentum and trend confirmation filter
• Can be used in standard or smoothed mode
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Moving Average Overlays
For visual market context, the indicator includes optional overlays:
• ✅ SMA 200
• ✅ HMA 200
Both can be toggled via checkboxes and are visual aids only, unless explicitly enabled as filters.
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Exit Logic
Two exit methods are available:
1. Fixed Exit
• Trades close after 4 bars
• Matches the ML model’s training horizon
2. Dynamic Exit
• Uses kernel regression and signal changes
• Designed to let profits run in strong trends
⚠️ Recommended only when no additional trend filters are active.
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Backtesting & Trade Statistics
The indicator includes an on-chart statistics panel showing:
• Win rate
• Total trades
• Win/Loss ratio
• Early signal flips (useful for identifying choppy markets)
⚠️ This is intended for calibration and optimization only, not as a replacement for full strategy backtesting.
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Typical Use Cases
• Swing trading (M15 – H4)
• Rule-based discretionary trading
• Set-and-forget trading
• TradingView alerts → MT4/MT5 → EA execution
• Prop-firm trading (e.g. FTMO), with proper risk management
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Important Disclaimer
This indicator:
• ❌ does not guarantee profits
• ❌ is not a “holy grail”
• ✅ is a decision-support and structure tool
It performs best when:
• Combined with strict risk management (e.g. ATR-based stops)
• Used in trending or expanding markets
• Executed with discipline and consistency
