Axis-Pro System | Trend Structure + Fibonacci Pullbacks Axis-Pro System is a comprehensive Trend Following strategy designed to trade high-probability pullbacks. Unlike indicators that merely chase price, this system patiently waits for market structure alignment before seeking an entry.
The system is built on the premise of "Quality over Quantity", utilizing volatility and structure filters to avoid choppy markets (ranges) and false breakouts.
🧠 Strategy Logic
The system makes decisions based on a strict 4-step hierarchy:
Higher Timeframe (HTF) Bias:
Analyzes the trend on a higher timeframe to ensure we are trading in the direction of the dominant flow.
Structure & BOS (Break of Structure):
Identifies clear impulses that break previous highs or lows. Once a BOS is confirmed, the system "arms" the trade and waits.
Fibonacci Zone Pullback:
It does not chase the breakout. Instead, it waits for a pullback into the "Discount Zone" (Golden Zone, configurable between 0.382 and 0.618) to improve the Risk/Reward ratio.
Validation & Trigger:
Uses an ATR expansion check to filter out low-volatility periods.
Requires candle confirmation and alignment with fast EMAs before pulling the trigger.
🛡️ Risk Management
The system incorporates advanced position management using a split execution model (50/50):
Dynamic Stop Loss: Automatically calculated using an ATR multiplier or the recent Swing High/Low (whichever offers better protection).
TP1 (Take Profit 1): Closes 50% of the position at a fixed R-multiple (e.g., 1.5R) to lock in profit and moves the Stop Loss to Break-Even.
TP2 (Runner): The remaining 50% is left to run for higher targets (e.g., 3.0R) or until the trend bends, maximizing gains during strong moves.
Trailing Stop: Optional feature to trail price with a fast EMA once the first target is hit.
⚙️ Settings & Features
The script is highly customizable for different assets (Crypto, Forex, Indices):
Date Range Filter: Includes a date selector to perform precise Backtesting on specific periods (e.g., testing specifically during a Bear Market vs. Bull Market).
Auto Trendlines: Automatically draws relevant trendlines for visual support.
Quality Filters: Options to toggle the EMA 200 filter and breakout buffers.
⚠️ Disclaimer
This strategy is a tool for analysis and backtesting purposes. Past performance does not guarantee future results. It is highly recommended to test the strategy on a Demo account first and adjust parameters according to the volatility of the specific asset being traded. Always use responsible risk management.
Penunjuk dan strategi
D1 High/LowThis indicator automatically plots the previous day’s high and low (D1) as thin dashed horizontal lines on the chart.
The levels are calculated strictly from yesterday’s daily candle only.
The lines are anchored directly at the previous day’s candle and extend to the right, matching institutional-style reference levels.
Visible on Daily (D1) and all lower timeframes (H4, H1, M15, etc.).
The lines reset at the start of each new trading day to reflect the latest completed session.
Designed as a context and liquidity reference, not as a predictive indicator.
EMA 8 x EMA 80 Indicator Trend Filter for the 123 PatternEMA 8 x EMA 80 Indicator Trend Filter for the 123 Pattern
This indicator displays two Exponential Moving Averages EMA with 8 and 80 periods, designed to assist in trend identification and to act as a filter for trading the 123 buy and sell pattern.
General usage rules
123 Buy: recommended only when trading in an uptrend
123 Sell: recommended only when trading in a downtrend
Moving average filter
Buy setups 123 Buy tend to be more reliable when price is above the 80 period EMA
Sell setups 123 Sell tend to be more reliable when price is below the 8 period EMA
Neutral zone attention
The area between the EMA 8 and EMA 80 is considered a neutral zone
Trading the 123 pattern within this range is riskier, as it often indicates consolidation or lack of clear trend direction
Important disclaimer
This indicator does not generate buy or sell signals by itself. It should be used as a supporting tool, together with proper risk management, market context, and additional analysis.
This is not financial advice.
Shiva Zone Indicator (True Consolidation Detection)---
# ⭐ **1. Script Title**
**Shiva Zone Indicator — True Consolidation Detection**
This will appear in the indicator marketplace and search.
---
# ⭐ **2. Short Description (shown in search list)**
**Automatically detects true consolidation zones using shrinking-range logic, avoiding oversized ranges and highlighting high-probability breakout zones.**
---
# ⭐ **3. Full Description (for the Publishing Page)**
Copy–paste the entire block below into the “Description” section while publishing:
---
## 🔱 **Shiva Zone Indicator — True Consolidation Detection**
The **Shiva Zone Indicator** identifies true consolidation phases in any market using a powerful shrinking-range algorithm. Instead of relying on fixed ranges or ATR compression alone, this model detects **micro-consolidation** by comparing tightening volatility windows, ensuring only **high-quality, compact zones** are plotted.
Most consolidation indicators produce long, extended boxes.
**Shiva Zone does not.**
It only marks consolidation when price tightens *locally*, making it ideal for breakout traders.
---
## 🔍 **How the Indicator Works**
A *Shiva Zone* is detected when:
* The recent price range is **shrinking** compared to the previous one
* Volatility compresses naturally
* Price stays within a narrow percentage threshold
* Expansion stops the zone (no endless boxes)
This ensures consolidation is identified **precisely where traders need it**, not over hundreds of candles.
When consolidation ends, volatility expansion triggers a zone closure.
Breakouts above or below the box can lead to explosive moves.
---
## ⚡ **Included Alerts**
The indicator includes 4 powerful, actionable alerts:
1. **Shiva Zone Started** – A new consolidation zone is forming
2. **Shiva Zone Ended** – Volatility begins expanding
3. **Bullish Breakout** – Price breaks above the Shiva Zone
4. **Bearish Breakout** – Price breaks below the Shiva Zone
These alerts make it easy to automate breakout entries or monitor compression zones across markets.
---
## 🎯 **Best Use Cases**
* Breakout Trading
* Scalping
* Intraday Structure Trading
* Swing Breakout Analysis
* Compression / Expansion Mapping
* Multi-Timeframe Structure Tracking
Works perfectly on **Forex, Indices, Crypto, Commodities, and Stocks**.
---
## 📌 **Recommended Settings**
* Lookback: **8–20**
* Max % Range: **0.4–0.8**
* Minimum Bars Inside Zone: **4–6**
Shorter settings → more sensitive
Longer settings → stronger zones
---
## 🧠 **Why It's Called “Shiva Zone”**
In market mythology:
* **Brahma** = Creation of momentum
* **Vishnu** = Sustaining the trend
* **Shiva** = Compression before transformation
The **Shiva Zone** is the phase where the market contracts its energy before a structural shift or breakout.
---
## ⚠️ **Disclaimer**
This indicator is for educational purposes only and not financial advice.
Always conduct your own analysis.
---
# ⭐ **4. Suggested Tags**
Use these exact tags on TradingView for best reach:
```
consolidation
price-action
volatility
range
breakout
compression
supply-and-demand
forex
scalping
trend-analysis
```
---
# ⭐ **5. Script Category**
Choose one:
### Recommended:
➡ **Technical Indicators → Volatility**
or
➡ **Technical Indicators → Price Action**
---
# ⭐ **6. Icon / Cover Image Suggestions**
(Create or upload manually — TradingView requires an image)
Theme suggestions:
* Clean minimalistic yellow/orange box with text **“Shiva Zone Indicator”**
* A sample chart screenshot showing a tight consolidation zone
* A symbolic icon of contraction/expansion inspired by Shiva (simple geometry, not religious imagery)
---
# ⭐ **7. Developer Credits (Optional)**
Created by **Dr. Sudhir Khollam**
Astrologer & Market Analyst
Creator of the SALSA© Method
---
HTB Reversal Pattern - RSI DivergenceHow this Script Works
Pivot Points: The script looks for "peaks" and "valleys" in the RSI indicator.
Divergence Logic: * Bullish: If the current price low is lower than the previous low, but the RSI low is higher than the previous RSI low, it indicates the selling pressure is fading despite the price drop.
Bearish: If the current price high is higher than the previous high, but the RSI high is lower than the previous RSI high, it suggests buying momentum is weakening.
The "Lookback" Offset: Because pivot points require a few bars to the right to be confirmed (defined by lbR), the labels will appear on the chart with a small delay (default is 5 bars). This is necessary to prevent "repainting" (signals that disappear after they appear).
Risk Manager & ATR TS Strategy📌 Overview
This script is not a simple indicator mashup. It is a Risk & Trade Planning Engine that combines a strategy-based signal generator with a snapshot-based risk, sizing, and expectancy model. It is designed to support real trading decisions, not just to generate cosmetic signals or overfitted backtests.
The core idea is to separate market logic from risk logic, evaluating each trade only at the moment it becomes actionable using fixed reference points that do not change afterward.
🎯 What makes this script original Unlike most tools that merely combine indicators or visualize entries, this script introduces several non-standard design choices:
Snapshot-based risk sizing (The "Time Machine" logic).
Expected Value (EV) calculation in both Money and R-multiples.
Kelly Criterion applied with weighted multi-target logic.
Strict architectural separation between the signal engine and the risk engine.
Decision-oriented dashboard instead of decorative plots.
These components are not merged for convenience; they are architecturally dependent on each other.
🧠 Conceptual Architecture
1️⃣ Signal Engine (Market Context) The signal engine is based on an ATR Trailing Stop system combined with trend regime filters (ADX and Choppiness Index). Its only responsibility is to answer one question: "Is this a valid directional opportunity right now?" It does not manage risk; it only identifies the opportunity.
2️⃣ Snapshot Logic (Key Design Choice) When a valid signal occurs, the script captures a Snapshot of the Entry price, Initial Stop-Loss, and Risk Distance. This snapshot is frozen at signal time. It is never updated, even if the trailing stop moves later. This avoids the most common error in TradingView scripts: recalculating position size using a moving stop, which falsifies the risk data.
3️⃣ Risk Engine (Sizing & Control) Using the snapshot values, the script computes:
Monetary risk per trade (capped at your user-defined max).
Position size derived from the fixed stop distance.
Effective leverage (informational).
4️⃣ Multi-Target Reward Model Instead of assuming a single take-profit, the script supports multiple targets with user-defined probability weights. From this, it derives a Weighted Risk/Reward Ratio, which feeds directly into the EV and Kelly calculations.
5️⃣ Expected Value (EV) in Money & R The script calculates EV in your account currency (real impact) and normalized in R-multiples (statistical quality). This allows you to compare trade quality across different assets and timeframes objectively.
6️⃣ Kelly Criterion (Conservative) The Kelly Criterion is applied using the weighted reward model and is always subordinated to your hard risk cap. If Kelly suggests a negative value, the script advises "NO TRADE". It is used as a filter, not a leverage amplifier.
📊 Dashboard & Alerts The on-chart dashboard summarizes everything you need at the moment of the signal:
Risk % and Position Size
Expected Value (Money + R)
Kelly Suggestion
Signal Strength
Alerts are triggered once per signal (on bar close) using snapshot data, ensuring no repainting and no spam.
🔍 How this is NOT a mashup Each component exists because another component depends on it. Snapshot logic is required for valid risk sizing; Risk sizing is required for EV normalization; Weighted RR is required for meaningful Kelly. Removing any part breaks the system’s logic.
📘 How to use
Choose your account size and risk parameters in the settings.
Configure your stop logic and reward targets.
Wait for a valid signal.
Evaluate the dashboard: Decide if the trade quality (EV, R, Risk) justifies participation.
⚖️ Open-Source Notice This script is published under the Mozilla Public License 2.0 (MPL-2.0). It does not copy or replicate any single public script. Standard concepts (ATR, ADX) are used as building blocks, but the architecture and calculations are original.
🚫 Disclaimer This script is a planning and evaluation engine designed to help traders think in terms of risk, expectancy, and discipline. It does not guarantee profitability.
✅ Summary This is a professional-grade framework built to answer one core question: “Is this trade worth taking, given my risk and my expectations?” Not every signal is a trade, and not every trade deserves capital. This script helps you make that distinction.
Volume Variance SuppressionVolume Variance Suppression Indicator
This indicator measures the variance of traded volume over a rolling window to detect periods of participation compression.
When volume variance falls below a defined threshold, it signals:
Reduced initiative order flow
Dominance of passive liquidity
Market balance / consolidation rather than trend
These suppression phases often precede volatility expansion, failed auctions, or impulsive moves, as liquidity builds and positioning becomes crowded.
The indicator is not directional and should be used as a market state filter, not a standalone signal. It helps distinguish balance vs expansion regimes and improves trade selection by aligning strategies with the current microstructural environment.
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
Daily Support/Resistance Points (Historical Days)indicator plots support and resistance levels derived from historical price action. It analyzes higher‑timeframe candles (Daily/Weekly/Monthly) and ranks levels by strength and number of touches, then draws the most relevant levels around the current price. If no strong levels are found, it falls back to touch‑based levels so you still get meaningful lines.
How to Use:
Add the script to any chart.
Choose Levels Timeframe:
Auto (recommended): follows the chart timeframe (D/W/M).
D / W / M: force a specific timeframe.
Set lookback windows:
Lookback Days (D) – default 200
Lookback Weeks (W) – default 104
Lookback Months (M) – default 60
Adjust sensitivity:
Min Strength – filters weaker levels.
Volume Multiplier – requires higher volume for stronger levels.
Time Decay – gives more weight to recent data.
Min Touches (Fallback) – used when no strong levels are found.
Optional: enable Show Debug Info to see how many levels are detected.
Open Source & License:
This script is open source under the MIT License. You are свободно to use, modify, and share it with attribution.
Author / Contact:
Ron Belson
For questions or requests, contact: ronbelson@gmail.com
Pre-Market Levels Monitor - CandleClub (20 Stocks)Monitor 20 stocks simultaneously with automatic breakout/breakdown alerts based on pre-market and previous day levels.
What It Does
This indicator tracks four critical price levels for up to 20 stocks in a single dashboard:
- PMH (Pre-Market High) - Highest price from 4:00 AM - 9:30 AM ET
- PML (Pre-Market Low) - Lowest price from 4:00 AM - 9:30 AM ET
- PDH (Previous Day High) - Previous trading day's high
- PDL (Previous Day Low) - Previous trading day's low
Key Features
✅ Real-time Dashboard - All 20 stocks displayed in a color-coded table
- Green cells = Price above level (bullish)
- Red cells = Price below level (bearish)
- Gray cells = Level not yet broken
✅ Smart Alerts - Automatic notifications when stocks break key levels
- Bullish Breakout: Price breaks BOTH PMH and PDH
- Bearish Breakdown: Price breaks BOTH PML and PDL
- Maximum 2 alerts per direction per stock per day (prevents spam)
✅ Zero Manual Work - Set it and forget it
- Levels auto-update daily at 4:00 AM ET
- Works during pre-market, regular hours, and displays data on weekends
- Edge detection ensures alerts fire only once per break
✅ Fully Customizable
- Choose any 20 US stocks
- Adjustable table position and size
- Sort by total alerts, bullish alerts, or bearish alerts
- Customize session times if needed
How To Use
1. IMPORTANT: Use on a 1-minute chart (required for data batching)
2. Enable "Extended Hours" in chart settings to see pre-market data
3. Configure your 20 ticker symbols in indicator settings
4. Set up TradingView alerts for notifications
Perfect For
- Pre-market traders monitoring multiple stocks
- Day traders tracking breakout opportunities
- Swing traders watching key support/resistance levels
- Anyone who wants automated multi-stock level monitoring
Technical Details
- Pine Script v6 - Latest version for optimal performance
- Optimized batching - Stays under TradingView's API call limits
- 20-stock maximum - Due to request.security() call restrictions (20 stocks × 2 calls = 40 limit)
- TradingView Standard plan or higher required
Alert Examples
"Alert: AAPL Bullish Breakout - Break #1
PMH: $183.25 (broken)
PDH: $181.50 (broken)
Current: $183.75
Time: 10:23:15"
Default Stocks Included
Technology: AAPL, MSFT, GOOGL, AMZN, META, NVDA, TSLA, NFLX, AMD, INTC
Finance: JPM, BAC, WFC, GS, MS, C
Healthcare: JNJ, UNH, PFE, ABBV, MRK, TMO
Consumer: WMT, HD, MCD
(All symbols are fully customizable)
Settings Overview
- Symbols (1-20): Configure your watchlist
- Session Times: Adjust pre-market/RTH times (Eastern Time)
- Display Options: Table position, cell size, text size, sorting
- Time Zone: All times in Eastern Time (auto-converts to your local time)
Notes
- Alerts limited to 2 per direction per stock to prevent notification spam
- Use 1-minute chart required (batching system needs consecutive bars)
- Enable Extended Hours to capture pre-market data
- Maximum 80 alerts per day possible (20 stocks × 4 alerts max)
Version
1.0 - Initial Release (January 2026)
---
Created by Gautham Kanaparthy
This indicator is for educational purposes only and does not constitute financial advice. Trading involves risk.
VWAP Band PositionVWAP Band Position — Synopsis
VWAP Band Position is a session-based oscillator that measures where price is trading relative to volume-weighted VWAP deviation bands.
The indicator uses true VWAP logic with volume-weighted variance, resetting each trading session to ensure accurate intraday behavior.
Values are normalized on a 0–1 scale:
0.0 → price at the lower VWAP deviation band
0.5 → price at VWAP (fair value)
1.0 → price at the upper VWAP deviation band
Readings above 1.0 or below 0.0 indicate price extension beyond VWAP deviation, highlighting potential exhaustion, continuation, or mean-reversion conditions depending on market context.
This tool is designed for intraday traders who use VWAP as a primary reference and want a clear, normalized view of price location within the VWAP range. It works well alongside trend-strength or momentum indicators to help filter entries, manage risk, and identify high-probability trade zones.
ABCD Strategy (v6 Ready)//@version=6
indicator("ABCD Strategy v7 – MTF S/R Filter", overlay=true, max_lines_count=300, max_labels_count=300)
//━━━━━━━━━━━━━━━━━━━━━
// INPUTS
//━━━━━━━━━━━━━━━━━━━━━
pivotLen = input.int(5, "Swing Strength", minval=2)
bcMin = input.float(0.618, "BC Min Fib")
bcMax = input.float(0.786, "BC Max Fib")
cdMin = input.float(1.272, "CD Min Extension")
cdMax = input.float(1.618, "CD Max Extension")
htfTF = input.timeframe("240", "Higher Timeframe (S/R)")
srLookback = input.int(200, "HTF S/R Lookback")
srTolerance = input.float(0.002, "S/R Zone Tolerance (0.2%)")
showSR = input.bool(true, "Show HTF S/R Zones")
showTargets = input.bool(true, "Show Targets")
//━━━━━━━━━━━━━━━━━━━━━
// HIGHER TF SUPPORT / RESISTANCE
//━━━━━━━━━━━━━━━━━━━━━
htfHigh = request.security(syminfo.tickerid, htfTF, ta.highest(high, srLookback))
htfLow = request.security(syminfo.tickerid, htfTF, ta.lowest(low, srLookback))
srHighZoneTop = htfHigh * (1 + srTolerance)
srHighZoneBottom = htfHigh * (1 - srTolerance)
srLowZoneTop = htfLow * (1 + srTolerance)
srLowZoneBottom = htfLow * (1 - srTolerance)
//━━━━━━━━━━━━━━━━━━━━━
// DRAW HTF ZONES
//━━━━━━━━━━━━━━━━━━━━━
if showSR
box.new(bar_index - 5, srHighZoneTop, bar_index + 5, srHighZoneBottom,
bgcolor=color.new(color.red, 85), border_color=color.red)
box.new(bar_index - 5, srLowZoneTop, bar_index + 5, srLowZoneBottom,
bgcolor=color.new(color.green, 85), border_color=color.green)
//━━━━━━━━━━━━━━━━━━━━━
// SWING DETECTION
//━━━━━━━━━━━━━━━━━━━━━
ph = ta.pivothigh(high, pivotLen, pivotLen)
pl = ta.pivotlow(low, pivotLen, pivotLen)
var float A = na
var float B = na
var float C = na
var float D = na
var int Ab = na
var int Bb = na
var int Cb = na
var int Db = na
if not na(pl)
A := B
Ab := Bb
B := C
Bb := Cb
C := low
Cb := bar_index
if not na(ph)
A := B
Ab := Bb
B := C
Bb := Cb
C := high
Cb := bar_index
//━━━━━━━━━━━━━━━━━━━━━
// ABCD LOGIC
//━━━━━━━━━━━━━━━━━━━━━
ab = math.abs(B - A)
bc = math.abs(C - B)
bcFib = bc / ab
validBC = bcFib >= bcMin and bcFib <= bcMax
bull = C > B
cdMinPrice = bull ? C - bc * cdMin : C + bc * cdMin
cdMaxPrice = bull ? C - bc * cdMax : C + bc * cdMax
inDzone = low <= cdMaxPrice and high >= cdMinPrice
//━━━━━━━━━━━━━━━━━━━━━
// MTF STRUCTURE FILTER
//━━━━━━━━━━━━━━━━━━━━━
nearResistance = close <= srHighZoneTop and close >= srHighZoneBottom
nearSupport = close <= srLowZoneTop and close >= srLowZoneBottom
structureOK =
(bull and nearSupport) or
(not bull and nearResistance)
//━━━━━━━━━━━━━━━━━━━━━
// FINAL D CONFIRMATION
//━━━━━━━━━━━━━━━━━━━━━
if validBC and inDzone and structureOK
D := close
Db := bar_index
//━━━━━━━━━━━━━━━━━━━━━
// TARGETS
//━━━━━━━━━━━━━━━━━━━━━
tp1 = bull ? D + math.abs(D - C) * 0.382 : D - math.abs(D - C) * 0.382
tp2 = bull ? D + math.abs(D - C) * 0.618 : D - math.abs(D - C) * 0.618
//━━━━━━━━━━━━━━━━━━━━━
// DRAW PATTERN
//━━━━━━━━━━━━━━━━━━━━━
if not na(D)
line.new(Ab, A, Bb, B, width=2, color=color.blue)
line.new(Bb, B, Cb, C, width=2, color=color.orange)
line.new(Cb, C, Db, D, width=2, color=color.green)
label.new(Db, D, "D (HTF CONFIRMED)", style=label.style_label_down, color=color.yellow)
if showTargets
line.new(Db, tp1, Db + 12, tp1, color=color.green)
line.new(Db, tp2, Db + 12, tp2, color=color.teal)
alertcondition(validBC and inDzone and structureOK,
"ABCD v7 Confirmed",
"ABCD Pattern confirmed at Higher-Timeframe Support/Resistance — wait for price action.")
MAD Supertrend [Alpha Extract]A sophisticated SuperTrend implementation that replaces traditional ATR calculations with Mean Absolute Deviation methodology for adaptive volatility measurement and band construction. Utilizing SMA baseline with MAD-based deviation bands and optional adaptive factor adjustments, this indicator delivers institutional-grade trend detection with strength-based filtering and dynamic visual feedback. The system's MAD approach provides superior noise reduction compared to ATR while maintaining responsiveness to genuine volatility changes, combined with momentum-based strength calculations for high-conviction signal generation.
🔶 Advanced MAD-Based Band Construction
Implements Mean Absolute Deviation calculation as volatility proxy, measuring absolute price deviations from mean and smoothing for stable band generation without ATR dependency. The system calculates SMA baseline, computes MAD from configurable lookback period, applies factor multipliers to create upper and lower bands, then implements classic SuperTrend ratcheting logic where bands only adjust when price violates previous levels or calculations warrant updates.
// Core MAD SuperTrend Framework
SMA_Value = ta.sma(src, SMA_Length)
Mean = ta.sma(src, MAD_Length)
Abs_Deviation = abs(src - Mean)
MAD_Value = ta.sma(Abs_Deviation, MAD_Length)
// Band Construction with Ratcheting
Upper_Band = SMA_Value + MAD_Factor * MAD_Value
Lower_Band = SMA_Value - MAD_Factor * MAD_Value
// Ratcheting logic prevents premature band adjustments
🔶 Adaptive Factor Adjustment Engine
Features optional adaptive multiplier system that modulates MAD factor based on normalized MAD magnitude relative to recent extremes, creating bands that automatically expand during high-volatility regimes and contract during consolidation. The system applies min-max normalization to MAD values over configurable lookback, multiplies by adaptation parameter, and adds to base factor for dynamic volatility sensitivity without manual recalibration.
🔶 Momentum-Based Strength Filter
Implements sophisticated strength calculation measuring price momentum relative to baseline divided by volatility-adjusted MAD bands, producing normalized 0-1 strength scores with exponential smoothing. The system calculates distance from SMA baseline, normalizes by MAD-derived band width, and applies configurable minimum threshold requiring sufficient momentum before trend signals activate, filtering weak or choppy market conditions.
🔶 SuperTrend Direction Logic
Utilizes classic SuperTrend methodology adapted for MAD bands where trend direction flips on opposite band violations with state persistence until confirmation. The system tracks whether price closes above upper band (bearish flip to bullish) or below lower band (bullish flip to bearish), maintains directional state until opposing violation occurs, and generates binary +1/-1 trend signals suitable for systematic position management.
🔶 Intelligent Candle Sticking System
Provides advanced line positioning option that anchors SuperTrend line to candle wicks or bodies rather than pure calculation values for enhanced visual clarity. The system supports two modes: Wick (positions at high/low extremes based on trend direction) and Body (constrains line between calculation and candle extremes), creating cleaner chart presentation while maintaining mathematical integrity of underlying signals.
🔶 Dynamic Gradient Visualization Framework
Implements color intensity modulation based on smoothed strength calculations, transitioning from muted to vivid hues as momentum conviction increases. The system applies gradient interpolation using strength ratio, creating visual feedback where strong trending moves display intense colors while weak or consolidating conditions show faded tones across trend line, channel bands, and candle coloring for immediate regime assessment.
🔶 MAD Channel Architecture
Features volatility-adjusted channel bands centered on baseline or candle-stuck line with configurable multiplier for support/resistance visualization. The system calculates upper and lower bounds using MAD values scaled by adaptive factors and channel multipliers, applies dynamic transparency based on trend strength, and creates filled regions that intensify during strong trends and fade during weak conditions.
🔶 Multi-Layer Glow Effect System
Provides sophisticated line rendering with triple-layer plot system creating glow effect through progressively wider and more transparent outer layers. The system plots core trend line at specified width with full color intensity, adds inner glow layer at +2 width with moderate transparency, and outer glow at +4 width with higher transparency, creating visual depth and emphasis without cluttering chart space.
🔶 Strength-Based State Management
Implements intelligent trend state logic requiring both directional signal and minimum strength threshold breach before confirming trend transitions. The system calculates raw SuperTrend direction, evaluates smoothed strength against configurable minimum, generates filtered trend state that can be bullish (+1), bearish (-1), or neutral (0), and maintains state persistence using hold logic that prevents oscillation during ambiguous conditions.
🔶 Comprehensive Alert Integration
Generates trend flip alerts when filtered state transitions from bearish to bullish or bullish to bearish with full confirmation requirements satisfied. The system detects state changes through comparison with previous bar, triggers single alert per transition rather than continuous notifications, and provides customizable message templates for automated trading system integration or manual notification preferences.
🔶 Performance Optimization Architecture
Utilizes efficient calculation methods with null value handling, nz() functions preventing errors during initialization bars, and optimized gradient calculations. The system includes intelligent state persistence minimizing recalculation overhead, streamlined MAD computation avoiding redundant mean calculations, and smooth visual updates maintaining consistent performance across extended historical periods.
This indicator delivers sophisticated SuperTrend analysis through Mean Absolute Deviation methodology providing superior statistical properties compared to traditional ATR-based approaches. MAD calculations offer more robust volatility measurement resistant to extreme outliers while maintaining sensitivity to genuine market regime changes. The system's adaptive factor adjustment, momentum-based strength filtering, and dynamic visual feedback make it essential for traders seeking reliable trend-following signals with reduced false breakouts during choppy conditions. The combination of MAD bands, candle-sticking options, gradient strength visualization, and comprehensive filtering creates institutional-grade trend detection suitable for systematic approaches across cryptocurrency, forex, and equity markets with clear entry/exit signals and comprehensive alert capabilities.
STAX# STAX - MapleStax Candle by Candle Automation
## Overview
STAX is a trend-following indicator that automates the "MapleStax Candle by Candle (CBC)" methodology for futures and equity trading. This system uses a higher timeframe anchor trend combined with lower timeframe execution filters to identify high-probability pullback entries in the direction of the prevailing trend.
## How It Works
### 1. Anchor Trend Detection (10-Minute CBC Flip)
The core of this system is the CBC (Candle by Candle) flip logic on the anchor timeframe (default: 10 minutes):
- **Bullish Flip**: Occurs when a 10m candle closes ABOVE the high of the previous 10m candle
- **Bearish Flip**: Occurs when a 10m candle closes BELOW the low of the previous 10m candle
- Once a flip occurs, the trend remains in that direction until an opposite flip happens
The anchor trend is calculated using `request.security()` with `lookahead=barmerge.lookahead_off` and indexed historical data ` ` to ensure non-repainting behavior. This means signals will not change or disappear after they appear.
### 2. Execution Filters (Current Timeframe)
On your current chart timeframe (recommended: 3 minutes), the indicator applies two key filters:
**EMA Confirmation**:
- For LONG signals: 9-period EMA must be greater than 20-period EMA
- For SHORT signals: 9-period EMA must be less than 20-period EMA
**VWAP Filter** (Strict or Target mode):
- **Strict Mode** (default): Only shows signals when price is on the correct side of VWAP
- LONG signals only above VWAP
- SHORT signals only below VWAP
- **Target Mode**: Shows all valid signals but uses VWAP as the take profit target when price is on the "wrong" side
### 3. Entry Signal Logic
The indicator looks for pullback entries:
- **BUY Signal**: 10m trend is Bullish + EMA 9 > 20 + Current 3m candle is RED (close < open)
- Logic: Wait for a red pullback candle in a bullish trend with bullish EMA alignment
- **SELL Signal**: 10m trend is Bearish + EMA 9 < 20 + Current 3m candle is GREEN (close > open)
- Logic: Wait for a green retracement candle in a bearish trend with bearish EMA alignment
This pullback logic helps you enter after a brief counter-trend move, improving risk/reward compared to chasing breakouts.
### 4. Risk Management
**Stop Loss**: Automatically set at the previous 10-minute candle's low (for longs) or high (for shorts). This represents the last swing point that would invalidate the trend structure.
**Take Profit**:
- When aligned with VWAP: Fixed tick-based target (default: 20 ticks, adjustable)
- When counter to VWAP: Target is VWAP itself, providing a logical profit target
The indicator displays TP and SL levels visually and alerts when they are hit.
### 5. Signal Management
To prevent over-trading, the indicator includes a **cooldown period** (default: 10 bars minimum between signals). This stops signal spam in choppy conditions and forces you to wait for the market to develop before taking another trade.
### 6. Time Session Filters
Two separate trading sessions can be configured with 12-hour clock inputs:
- **Session 1**: Default 9:30 AM - 4:00 PM (New York regular hours)
- **Session 2**: Optional second session for extended hours or different time zones
Signals only appear during enabled sessions, helping you trade during liquid market hours.
## What Makes This Original
This indicator automates a specific methodology (MapleStax CBC) that combines multiple proven concepts:
1. Higher timeframe trend structure (CBC flip logic)
2. Lower timeframe execution timing (EMA filters)
3. Pullback entry strategy (counter-colored candles)
4. Volume-based target selection (VWAP integration)
5. Swing-based stop placement (previous anchor swing points)
The combination of these elements into an automated system with visual feedback and alert functionality is what provides value beyond using these indicators separately.
## How to Use
1. **Choose Your Timeframes**:
- Anchor timeframe: 10 minutes (adjustable) for trend direction
- Execution timeframe: 3-5 minutes recommended for entries
2. **Select VWAP Mode**:
- **Strict Mode**: More conservative, only trades with VWAP bias
- **Target Mode**: More aggressive, uses VWAP as profit target
3. **Configure Sessions**: Enable Session 1 and optionally Session 2 to match your trading hours
4. **Set Risk Parameters**: Adjust take profit ticks based on your instrument and risk tolerance
5. **Watch for Signals**:
- Green "BUY" label below bars = Long entry
- Red "SELL" label above bars = Short entry
- Dashed red line = Stop loss level
- Green "TP ✓" or Red "SL ✗" labels show exit points
6. **Monitor the Status Table**: The table in the top-right shows:
- Current 10m trend direction
- EMA alignment status
- VWAP position
- Active session status
- Current signal state
- Active trade information
7. **Set Alerts**: Use TradingView's alert system with the built-in alert conditions:
- BUY Signal
- SELL Signal
- Take Profit Hit
- Stop Loss Hit
## Best Practices
- **Recommended Timeframes**: 3m execution chart with 10m anchor works well for active trading
- **Instrument Selection**: Works best on liquid futures contracts (ES, NQ, CL, etc.) and major forex pairs
- **Session Trading**: Enable Session 1 for New York hours; avoid low-volume periods
- **Backtest First**: Always backtest the settings on your specific instrument before live trading
- **Use Realistic Parameters**: Default 20-tick TP is conservative; adjust based on instrument volatility
## Limitations and Warnings
**This indicator does NOT**:
- Guarantee profitable trades (past performance does not indicate future results)
- Account for slippage, commissions, or real-world execution challenges
- Work equally well in all market conditions (performs poorly in low-volume, range-bound markets)
- Replace proper risk management and position sizing
- Provide financial advice
**Repainting**: This indicator is designed to be non-repainting. Signals use indexed historical data from the anchor timeframe, meaning they will not change or disappear after they appear. However, the current bar's status will update in real-time until it closes.
**Market Conditions**: This trend-following pullback system performs best in trending markets with clear directional bias. In choppy, range-bound conditions, expect more false signals despite the cooldown filter.
**Stop Loss Execution**: The stop loss levels shown are theoretical. In fast-moving markets, actual fills may occur at worse prices due to slippage.
## Input Parameters
**Anchor Settings**:
- Anchor Timeframe: Higher timeframe for trend detection (default: 10 minutes)
**EMA Settings**:
- Fast EMA: Short-period EMA for execution bias (default: 9)
- Slow EMA: Long-period EMA for execution bias (default: 20)
**VWAP Settings**:
- Strict VWAP Filter: Toggle between strict filtering and target mode
**Signal Management**:
- Min Bars Between Signals: Cooldown period to prevent spam (default: 10 bars)
**Time Filters**:
- Session 1 & 2: Configure up to two trading sessions with start/end times in 12-hour format
**Risk Management**:
- Take Profit (Ticks): Fixed tick target when aligned with VWAP (default: 20)
**Visual Settings**:
- Show Trend Background: Background color based on 10m trend
- Show Stop Loss Lines: Display SL levels on chart
- Show EMAs: Display 9/20 EMAs on chart
- Show VWAP: Display daily VWAP on chart
## Technical Notes
- Uses Pine Script v5
- Non-repainting implementation via `request.security()` with `lookahead_off` and indexed data
- Suitable for alerts and automated trading integration
- Maximum 50 labels and 50 lines to maintain performance
- Status table updates on each bar close
## Credits
This indicator automates the MapleStax Candle by Candle methodology. The CBC flip logic and pullback entry concept are part of the MapleStax trading education system.
---
**Disclaimer**: This indicator is for educational and informational purposes only. It is not financial advice. Trading futures, forex, and equities carries substantial risk of loss. Past performance is not indicative of future results. Always trade with risk capital you can afford to lose and use proper position sizing.
Clean SMC: Filtered OB + FVGHow does this indicator work?
Fair Value Gaps (FVG): It identifies price imbalances (gaps between the wick of candle 1 and candle 3). They appear as small, light-colored rectangles.
Order Blocks (OB): It marks "Smart Money" candles that precede a strong impulse. These areas are extended to the right because they often act as future support or resistance.
Signals (BUY/SELL): The indicator displays a signal when it detects a confluence (for example, a bullish OB appearing right after an FVG).
Some friendly trading tips:
Timeframe: This indicator works best on higher timeframes (15m, 1h, 4h) to avoid market "noise."
Confirmation: Don't take a "BUY" signal on its own. Check if the overall trend (on a higher timeframe) is also bullish.
Risk management: Always place your Stop Loss just below the identified Order Block.
XAUUSD Mean Reversion Strategy Gold (ATR and RSI)The XAUUSD Mean Reversion Strategy – Gold v6 is a non-repainting TradingView strategy designed specifically for Gold (XAUUSD). It capitalizes on price overextensions and statistically probable pullbacks toward the mean, a behavior Gold frequently exhibits during active market sessions.
🔍 Strategy Logic
Uses EMA 50 as the mean price reference
Detects overextended conditions with RSI (14)
Trades are taken only when price deviates significantly from the mean
Designed for both long and short positions
📈 Entry Conditions
Long Trades
Price below EMA 50
RSI below oversold level
Short Trades
Price above EMA 50
RSI above overbought level
📉 Exit & Risk Management
ATR-based Stop Loss adapts to Gold’s volatility
Take Profit Options
Mean reversion back to EMA
Fixed ATR-based risk-to-reward
One trade at a time to control exposure
⚙️ Features
Fully backtestable
Non-repainting
Optimized for XAUUSD volatility
Adjustable inputs for optimization
Works best on 5m–30m timeframes
📊 Recommended Use
XAUUSD (Gold)
London & New York sessions
Intraday mean-reversion traders
⚠️ This strategy is for educational and research purposes only. Always perform your own testing and risk management before using it in live markets.
HazMeed Session Highs/Lows)Marks out Asia Session Highs and Lows
Marks out London Session Highs and Lows
Marks out NYAM Session Highs and Lows
Single Year Historical ProjectionBasic year projection onto chart from a previous year, good for reference previous years movements.
Enjoy
CVD-MACD### CVD-MACD (Research)
The CVD-MACD is a research-oriented indicator that combines Cumulative Volume Delta (CVD) with the classic MACD framework to provide insights into market momentum and potential reversals. Unlike a standard MACD based on price, this version uses CVD (the running total of buy vs. sell volume delta) as its input source, offering a volume-driven perspective on trend strength and divergences.
Key Features:
- **CVD-Based MACD Calculation**: Computes MACD using CVD instead of price, highlighting volume imbalances that may precede price moves.
- **Dual Divergence Detection**: Identifies bullish/bearish divergences on both the MACD line and histogram, with configurable pivot lookbacks and filters (e.g., momentum decay and zero-side consistency).
- **Visual Flexibility**: Toggle divergences in the indicator pane or overlaid on the main chart, with optional raw CVD line for reference.
- **Alerts**: Built-in conditions for bullish and bearish divergences to notify users of potential setups.
###This indicator is designed for research and experimentation—it's not financial advice. It performs best on liquid assets with reliable volume data (e.g., stocks, futures). I've shared this to gather community feedback: please test it thoroughly and point out any bugs, inefficiencies, or improvements! For example, if you spot issues with divergence detection on certain timeframes or symbols, let me know in the comments. Your input will help refine it.
Inspired by volume analysis techniques; open to collaborations or forks.
## User Manual for CVD-MACD (Research)
### Overview
The CVD-MACD indicator transforms traditional MACD by using Cumulative Volume Delta (CVD) as the base input. CVD accumulates the net delta between estimated buy and sell volume per bar, providing a volume-centric view of momentum. The indicator plots a MACD line, signal line, and histogram, while also detecting divergences on both the MACD line and histogram for potential reversal signals.
This manual covers setup, interpretation, and troubleshooting.
Note: This is a research tool—backtest and validate on your own data before using in live trading.
### Installation and Setup
1. **Add to Chart**: Search for "CVD-MACD (Research)" in TradingView's indicator library or paste the script into the Pine Editor and add it to your chart.
2. **Compatibility**: Works on any timeframe and symbol with volume data. Best on daily/intraday charts for stocks, forex, or futures. Avoid illiquid symbols where volume may be unreliable.
3. **Customization**: All inputs are configurable via the indicator's settings panel. Defaults are optimized for general use but can be tuned based on asset volatility.
### Input Parameters
The inputs are grouped for ease of use:
#### MACD Settings
- **Fast EMA (CVD)** (default: 12): Length of the fast EMA applied to CVD. Shorter values make it more responsive to recent volume changes.
- **Slow EMA (CVD)** (default: 26): Length of the slow EMA on CVD. Longer values smooth out noise for trend identification.
- **Signal EMA** (default: 9): Smoothing period for the signal line (EMA of the MACD line).
#### Divergence Logic (MACD Line)
- **Pivot Lookback (MACD Line)** (default: 5): Bars to look left/right for detecting pivots on the MACD line. Higher values detect larger swings but may miss smaller divergences.
- **Max Lookback Range (MACD Line)** (default: 50): Maximum bars between two pivots to consider a divergence valid. Prevents detecting outdated signals.
- **Enable Momentum Decay Filter (Histogram)** (default: false): When enabled, requires the histogram to show decaying momentum (absolute value decreasing) for MACD-line divergences to trigger.
#### Histogram Divergence
- **Pivot Lookback (Histogram)** (default: 5): Similar to above, but for histogram pivots.
- **Max Lookback Range (Histogram)** (default: 50): Max bars for histogram divergence detection.
- **Show Histogram Divergences in Indicator Pane** (default: true): Displays dashed lines and "H" labels for histogram divergences in the sub-window.
- **Show Histogram Divergences on Main Chart** (default: true): Overlays histogram divergences on the price chart with semi-transparent lines and labels.
- **Require Histogram to Stay on Same Side of Zero** (default: true): Filters divergences to only those where the histogram doesn't cross zero between pivots, ensuring consistent momentum direction.
#### Visuals (Dual View)
- **Show MACD-Line Divergences (Indicator Pane)** (default: true): Draws solid lines and "L" labels for MACD-line divergences in the sub-window.
- **Show MACD-Line Divergences (Main Chart)** (default: true): Overlays MACD-line divergences on the price chart.
- **Show Raw CVD Line** (default: false): Plots the underlying CVD as a faint gray line for reference.
### How to Interpret the Indicator
1. **Core Plots**:
- **MACD Line** (blue): Difference between fast and slow CVD EMAs. Above zero indicates building buy volume momentum; below zero shows sell dominance.
- **Signal Line** (orange): EMA of the MACD line. Crossovers can signal potential entries/exits (e.g., MACD above signal = bullish).
- **Histogram** (columns): MACD minus signal. Green shades for positive/expanding bars (bullish momentum); red for negative/contracting (bearish). Fading colors indicate weakening momentum.
- **Zero Line** (gray horizontal): Reference for bullish (above) vs. bearish (below) territory.
- **Raw CVD** (optional gray line): The cumulative buy-sell delta. Rising = net buying; falling = net selling.
2. **Divergences**:
- **Bullish (Green Lines/Labels)**: Occur when price makes lower lows, but MACD line or histogram makes higher lows. Suggests weakening downside momentum and potential reversal up. Look for "L" (MACD line) or "H" (histogram) labels.
- **Bearish (Red Lines/Labels)**: Price higher highs vs. MACD/histogram lower highs. Indicates fading upside and possible downturn.
- **Dual View**: Divergences appear in the indicator pane (sub-window) for clean analysis and overlaid on the main chart for price context. Histogram divergences use dashed lines to distinguish from MACD-line (solid).
- **Filters**: Momentum decay ensures only "hidden" or weakening divergences trigger. Zero-side filter prevents false signals from oscillating histograms.
3. **Alerts**:
- **Bullish Divergence (L or H)**: Triggers on either MACD-line or histogram bullish divergence. Message: "CVD-MACD Bullish Divergence detected on {{ticker}}".
- **Bearish Divergence (L or H)**: Similar for bearish. Use TradingView's alert setup to notify via email/SMS/webhook.
- Tip: Combine with price action (e.g., support/resistance) for confirmation.
### Usage Tips and Strategies
- **Trend Confirmation**: Use in uptrends for bullish divergences (pullback buys) or downtrends for bearish (short entries).
- **Timeframe Selection**: Higher timeframes (e.g., daily) for swing trading; lower (e.g., 15-min) for intraday. Adjust pivot lookbacks accordingly (shorter for faster charts).
- **Combination Ideas**: Pair with RSI for overbought/oversold confirmation or VWAP for intraday volume context.
- **Risk Management**: Divergences are probabilistic—not guarantees. Always use stop-losses based on recent swings.
- **Performance Notes**: Backtest on historical data via TradingView's Strategy Tester. CVD relies on accurate volume; test on exchanges like NYSE/NASDAQ.
### Known Limitations and Troubleshooting
- **Volume Dependency**: CVD estimation assumes linear buy/sell distribution based on bar position—may be less accurate on thin markets or during gaps.
- **Repainting**: Pivots and divergences can repaint as new data arrives (common in pivot-based indicators). Use on closed bars for reliability.
- **Resource Usage**: High max_bars_back (5000) ensures deep history; reduce if chart loads slowly.
- **No Signals on Low-Volume Bars**: If CVD flatlines, check symbol volume—some crypto/forex pairs have inconsistent data.
- **Community Feedback**: If you encounter bugs (e.g., false divergences on specific symbols/timeframes), missing alerts, or calculation errors, please comment below with details like symbol, timeframe, and screenshots. Suggestions for enhancements (e.g., more filters or visuals) are welcome!
If you have questions or find issues, drop a comment—let's improve this together!
EMA as Support/Resistance with Backtests (by Visual Sectors)Knowing what works for a specific stock is the game changer!
This script returns 3 years' backtest of EMA acting as Support or Resistance
Wins and Losses are defined as closing above/below the EMA 50. Settings can be changed to any EMA length.
Actionability is % of time EMA was within range, so a EMA 500 will have very low actionability, while EMA 5 - extremely high
EMA 6/50 Cross + ADX 20 + AlertsThis indicator is designd to filter noise off the EMA cross with the ADX greater than 20 condition.
Obsidians Gold RevengeMany traders (including institutional desks) track lunar cycles on Gold (XAUUSD) because of the psychological impact on market sentiment. The common theory—often attributed to methods like Gann analysis—is:
🌑 New Moon: Often correlates with Market Bottoms (Buy Signals) or "New Beginnings."
🌕 Full Moon: Often correlates with Market Tops (Sell Signals) or "Exhaustion."
Here is a script that mathematically calculates the Moon Phase based on the lunar synodic month (approx. 29.53 days). It will plot these events on your chart so you can visually backtest if Gold respects these cycles.
How to use this for testing
Add it to your Chart: Apply it to the XAUUSD (Gold) chart.
Timeframe: This works best on 4-Hour (4H) or Daily (1D) charts. (On 15m charts, the moon phase covers many candles, so the label will appear on the specific candle where the phase officially "switched").
What to look for:
Look at the Dark Blue (New Moon) areas. Did price form a bottom or start a rally there?
Look at the Yellow (Full Moon) areas. Did price peak and reverse downward there?
Note: Lunar cycles are considered a "timing tool" rather than a directional indicator. They often indicate when a reversal might happen, but you should combine this with your Institutional Candle zones to confirm the direction!
