CCI Crossover AlertThis very simple indicator will give you a blue background where the CCI crossed from below -100 to above -100, and a red background where it crossed from above 100 to below 100.
Cerca negli script per "想象图：箱线图+折线组合，横轴为国家，纵轴为响应指数（0-100），箱线显示均值±标准差，叠加红色虚线标注各国确诊高峰时间点"
WarTrend Pro v1.0 - NDX EditionWarTrend Pro v1.0 is a high-frequency intraday strategy tailored for the NASDAQ 100 Index (NDX) on the 1H timeframe.
It is engineered for professional traders seeking to combine momentum, structure, and market psychology into a single automated trading system.
Built around a customized SuperTrend logic, the system integrates a set of 11 tactical conditions. A trade is only triggered when 3 or more conditions are simultaneously validated, ensuring high-conviction entries.
Entry Conditions (Long only in v1.0):
✅ SuperTrend turns bullish (price > ATR band)
✅ ADX confirms strong trend (>25)
✅ Price above EMA stack (20, 50, 100, 200)
✅ RSI breakout from neutral zone
✅ Volume anomaly or price reversal candle
✅ Optional: bullish MFI crossover, MACD slope, Keltner confirmation, divergence detection
Exit Conditions:
SL and TP are calculated from volatility-adjusted ranges
Trailing stop can be optionally enabled
Exit also triggered on signal reversal (SuperTrend or ADX flip)
💡 How to Use It
Apply on 1H timeframe (NDX)
Customize risk settings, SL/TP logic, and session filters
Optional: combine with news filters or macro overlays for discretionary enhancement
*License
This strategy is part of the WTRADE Project – Institutional Edition.
Reproduction, republishing, or commercial use without permission is prohibited.
WT + Stoch RSI Reversal ComboOverview – WT + Stoch RSI Reversal Combo
This custom TradingView indicator combines WaveTrend (WT) and Stochastic RSI (Stoch RSI) to detect high-probability market reversal zones and generate Buy/Sell signals.
It enhances accuracy by requiring confirmation from both oscillators, helping traders avoid false signals during noisy or weak trends.
🔧 Key Features:
WaveTrend Oscillator with optional Laguerre smoothing.
Stochastic RSI with adjustable smoothing and thresholds.
Buy/Sell combo signals when both indicators agree.
Histogram for WT momentum visualization.
Configurable overbought/oversold levels.
Custom dotted white lines at +100 / -100 levels for reference.
Alerts for buy/sell combo signals.
Toggle visibility for each element (lines, signals, histogram, etc.).
✅ How to Use the Indicator
1. Add to Chart
Paste the full Pine Script code into TradingView's Pine Editor and click "Add to Chart".
2. Understand the Signals
Green Triangle (BUY) – Appears when:
WT1 crosses above WT2 in oversold zone.
Stoch RSI %K crosses above %D in oversold region.
Red Triangle (SELL) – Appears when:
WT1 crosses below WT2 in overbought zone.
Stoch RSI %K crosses below %D in overbought region.
⚠️ A signal only appears when both WT and Stoch RSI agree, increasing reliability.
3. Tune Settings
Open the settings ⚙️ and adjust:
Channel Lengths, smoothing, and thresholds for both indicators.
Enable/disable visibility of:
WT lines
Histogram
Stoch RSI
Horizontal level lines
Combo signals
4. Use with Price Action
Use this indicator in conjunction with support/resistance zones, chart patterns, or trendlines.
Works best on lower timeframes (5m–1h) for scalping or 1h–4h for swing trading.
5. Set Alerts
Set alerts using:
"WT + Stoch RSI Combo BUY Signal"
"WT + Stoch RSI Combo SELL Signal"
This helps you catch setups in real time without watching the chart constantly.
📊 Ideal Use Cases
Reversal trading from extremes
Mean reversion strategies
Timing entries/exits during consolidations
Momentum confirmation for breakouts
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins
This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference.
🔍 What Is MVRV and Why Is It Important?
MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization.
- Market Cap: The total circulating supply multiplied by the current market price.
- Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation.
Normal Calculation:
MVRV_Normal = Market Cap / Realized Cap
This version reflects investor profitability and identifies potential accumulation or distribution zones.
📊 Z-Score Calculation:
MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap
This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes.
🔎 How Market Cap Is Computed
Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown:
Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY
Realized Capitalization = MARKETCAPREAL
Component Definitions:
- MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins.
- MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins.
- MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin.
This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers.
⚙️ User-Configurable Parameters
- MVRV Mode: Choose between Normal and Z-Score.
- Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6).
- Thresholds for Analysis:
- Normal mode: Define overbought and oversold levels (default 1.0 and 3.5).
- Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0).
- Table Controls:
- Adjustable position on screen (9 options).
- Font size customization: tiny, small, normal, large.
- Color scheme personalization:
- Header: text and background
- Body: text and background
- Central column separator color
📊 Multicrypto Table Architecture
The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value.
- Assets are displayed in two blocks separated by a decorative column.
- Each value is rounded to one decimal place for clarity.
- Cells are styled dynamically based on user settings.
🎨 Decorative Column Separator
Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic.
🔁 Default Behavior on Unsupported Assets
If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group.
🎯 Color Interpretation by Condition
The MVRV value for each asset is highlighted using a traffic light system:
- Green: Undervalued (below oversold threshold)
- Red: Overvalued (above overbought threshold)
- Yellow: Neutral zone
This coding simplifies decision-making and visual scanning across assets.
Final Notes
This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum.
It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
PRO Investing - Apex EnginePRO Investing - Apex Engine
1. Core Concept: Why Does This Indicator Exist?
Traditional momentum oscillators like RSI or Stochastic use a fixed "lookback period" (e.g., 14). This creates a fundamental problem: a 14-period setting that works well in a fast, trending market will generate constant false signals in a slow, choppy market, and vice-versa. The market's character is dynamic, but most tools are static.
The Apex Engine was built to solve this problem. Its primary innovation is a self-optimizing core that continuously adapts to changing market conditions. Instead of relying on one fixed setting, it actively tests three different momentum profiles (Fast, Mid, and Slow) in real-time and selects the one that is most synchronized with the current price action.
This is not just a random combination of indicators; it's a deliberate synthesis designed to create a more robust momentum tool. It combines:
Volatility analysis (ATR) to generate adaptive lookback periods.
Momentum measurement (ROC) to gauge the speed of price changes.
Statistical analysis (Correlation) to validate which momentum measurement is most effective right now.
Classic trend filters (Moving Average, ADX) to ensure signals are only taken in favorable market conditions.
The result is an oscillator that aims to be more responsive in volatile trends and more stable in quiet periods, providing a more intelligent and adaptive signal.
2. How It Works: The Engine's Three-Stage Process
To be transparent, it's important to understand the step-by-step logic the indicator follows on every bar. It's a process of Adapt -> Validate -> Signal.
Stage 1: Adapt (Dynamic Length Calculation)
The engine first measures market volatility using the Average True Range (ATR) relative to its own long-term average. This creates a volatility_factor. In high-volatility environments, this factor causes the base calculation lengths to shorten. In low-volatility, they lengthen. This produces three potential Rate of Change (ROC) lengths: dynamic_fast_len, dynamic_mid_len, and dynamic_slow_len.
Stage 2: Validate (Self-Optimizing Mode Selection)
This is the core of the engine. It calculates the ROC for all three dynamic lengths. To determine which is best, it uses the ta.correlation() function to measure how well each ROC's movement has correlated with the actual bar-to-bar price changes over the "Optimization Lookback" period. The ROC length with the highest correlation score is chosen as the most effective profile for the current moment. This "active" mode is reflected in the oscillator's color and the dashboard.
Stage 3: Signal (Normalized Velocity Oscillator)
The winning ROC series is then normalized into a consistent oscillator (the Velocity line) that ranges from -100 (extreme oversold) to +100 (extreme overbought). This ensures signals are comparable across any asset or timeframe. Signals are only generated when this Velocity line crosses its signal line and the trend filters (explained below) give a green light.
3. How to Use the Indicator: A Practical Guide
Reading the Visuals:
Velocity Line (Blue/Yellow/Pink): The main oscillator line. Its color indicates which mode is active (Fast, Mid, or Slow).
Signal Line (White): A moving average of the Velocity line. Crossovers generate potential signals.
Buy/Sell Triangles (▲ / ▼): These are your primary entry signals. They are intentionally strict and only appear when momentum, trend, and price action align.
Background Color (Green/Red/Gray): This is your trend context.
Green: Bullish trend confirmed (e.g., price above a rising 200 EMA and ADX > 20). Only Buy signals (▲) can appear.
Red: Bearish trend confirmed. Only Sell signals (▼) can appear.
Gray: No clear trend. The market is likely choppy or consolidating. No signals will appear; it is best to stay out.
Trading Strategy Example:
Wait for a colored background. A green or red background indicates the market is in a tradable trend.
Look for a signal. For a green background, wait for a lime Buy triangle (▲) to appear.
Confirm the trade. Before entering, confirm the signal aligns with your own analysis (e.g., support/resistance levels, chart patterns).
Manage the trade. Set a stop-loss according to your risk management rules. An exit can be considered on a fixed target, a trailing stop, or when an opposing signal appears.
4. Settings and Customization
This script is open-source, and its settings are transparent. You are encouraged to understand them.
Synaptic Engine Group:
Volatility Period: The master control for the adaptive engine. Higher values are slower and more stable.
Optimization Lookback: How many bars to use for the correlation check.
Switch Sensitivity: A buffer to prevent frantic switching between modes.
Advanced Configuration & Filters Group:
Price Source: The data source for momentum calculation (default close).
Trend Filter MA Type & Length: Define your long-term trend.
Filter by MA Slope: A key feature. If ON, allows for "buy the dip" entries below a rising MA. If OFF, it's stricter, requiring price to be above the MA.
ADX Length & Threshold: Filters out non-trending, choppy markets. Signals will not fire if the ADX is below this threshold.
5. Important Disclaimer
This indicator is a decision-support tool for discretionary traders, not an automated trading system or financial advice. Past performance is not indicative of future results. All trading involves substantial risk. You should always use proper risk management, including setting stop-losses, and never risk more than you are prepared to lose. The signals generated by this script should be used as one component of a broader trading plan.
Combined Entry Signal - SMI + MACD + EMA + Volume//@version=5
indicator("Combined Entry Signal - SMI + MACD + EMA + Volume", overlay=true)
// ==== INPUTS ====
smiK = input.int(5, "SMI K", minval=1)
smiD = input.int(3, "SMI D", minval=1)
macdFast = input.int(12, "MACD Fast")
macdSlow = input.int(26, "MACD Slow")
macdSignal = input.int(9, "MACD Signal")
emaShort = input.int(20, "EMA Short")
emaMid = input.int(50, "EMA Mid")
emaLong = input.int(100, "EMA Long")
volMult = input.float(1.2, "Volume Multiplier for Confirm")
// ==== SMI ====
smiSource = close
smi = ta.stoch(close, high, low, smiK)
smiSignal = ta.sma(smi, smiD)
// ==== MACD ====
= ta.macd(close, macdFast, macdSlow, macdSignal)
macdCrossUp = ta.crossover(macdLine, signalLine)
macdCrossDown = ta.crossunder(macdLine, signalLine)
// ==== EMA Trend ====
emaS = ta.ema(close, emaShort)
emaM = ta.ema(close, emaMid)
emaL = ta.ema(close, emaLong)
trendUp = close > emaS and emaS > emaM and emaM > emaL
trendDown = close < emaS and emaS < emaM and emaM < emaL
// ==== Volume confirmation ====
avgVol = ta.sma(volume, 20)
volConfirm = volume > avgVol * volMult
// ==== BUY/SELL CONDITIONS ====
smiBuy = smi > smiSignal and smi < 20
smiSell = smi < smiSignal and smi > 80
buySignal = smiBuy and macdCrossUp and trendUp and volConfirm
sellSignal = smiSell and macdCrossDown and trendDown and volConfirm
// ==== PLOTS ====
plotshape(buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
plot(emaS, title="EMA 20", color=color.orange)
plot(emaM, title="EMA 50", color=color.green)
plot(emaL, title="EMA 100", color=color.blue)
Gabriel's Dynamic Sentiment RSI📊 Dynamic Sentiment RSI with Velocity, Acceleration & Divergence Detection
Created by GabrielAmadeusLau
This advanced Pine Script indicator fuses multiple layers of market insight into a unified momentum and sentiment tool. It is designed to extract nuanced sentiment signals from price action using a hybridized RSI model enhanced with stochastic dynamics, volatility weighting, and divergence tracking. It adapts to a wide range of asset classes including equities, crypto, gold, and forex.
🔍 Core Components
✅ 1. Dynamic Sentiment RSI
A normalized, stochastic-based RSI that adjusts its sensitivity using the Sentiment Factor.
Smoothed using a Jurik Moving Average for precision noise filtering.
Weighted using volume, volatility (VIX-like), HL extremes, and trend-based adaptive weighting, giving it a powerful multi-dimensional response.
✅ 2. Hann-Window RSI Calculation
Leverages a Hann Window and Levy Flight transformation to amplify cyclical behavior in RSI inputs.
Applies power-based weighting to directional movement, ideal for assets with cyclic or fractal-like structure.
✅ 3. Velocity & Acceleration Engine
Measures the rate of RSI change over a customizable period, and then the rate of that rate (acceleration).
Both are plotted with adaptive coloring to visually represent momentum shifts.
This dynamic structure aids in anticipating breakout strength or exhaustion.
✅ 4. Sentiment Heat Background
Background shading reflects bullish (teal) or bearish (silver) sentiment using smoothed stochastic RSI outputs.
Creates an intuitive market "mood" indicator for quick-glance visual analysis.
🔁 Smoothing & Weighting Customizations
You can toggle between different weighting modes:
Volume Weighted: Uses volume or ATR if unavailable.
VIX Weighted: Incorporates a volatility-based weight via a WVF-like formula.
HL Weighted: High-Low range smoothed.
Linear Weighted: Applies linear regression to the signal.
Trend Adaptive: Squares rolling maximums/minimums for dynamic strength adaptation.
🔎 Divergence Detection System
Supports Regular & Hidden Divergence using any of the following pivots:
Raw RSI
Smoothed K% RSI
Sentiment RSI
Velocity
Acceleration
Allows divergence tracking on custom timeframes and Heikin Ashi data.
Custom line styles, colors, and optional “last signal only” visibility.
Alerts are provided for all four divergence types.
📌 Built-in Alerts
✅ Bullish/Bearish Regular Divergence
✅ Bullish/Bearish Hidden Divergence
✅ General Divergence Summary Alerts
⚙️ Highly Configurable Settings
Sentiment Factor scaling (default ~2.2)
Levy exponent (ideal between 0.4 to 3.2 depending on asset class)
Velocity & Acceleration scaling inputs
Pivot lookback controls
Toggle smoothing methods and weighting logic
🧠 Ideal Use Cases
Swing and Trend Trading: The dynamic structure identifies both trend continuations and reversals with precision.
Divergence Confirmation: Confirm entries or exits using regular/hidden divergence alongside acceleration/velocity overlays.
Adaptive Strategy Building: Integrate this tool as a sentiment engine for algorithmic trading strategies.
🔬 Recommended Settings by Asset Class
Asset Type Levy Sentiment Factor
Crypto 0.6–1.2 2.0–2.5
Gold 0.4–1.0 2.0–2.2
Stocks 0.9–1.2 2.2–2.5
Forex 2.5–3.2 1.8–2.3
*A sentiment Factor of 9.5 can tell the larger trend apart on Daily and up.*
🧩 Technical Notes
Uses Jurik MA (Power 2, Phase 50) for minimal lag smoothing.
Employs Chebyshev filters (pre-Stochastic) for advanced sentiment smoothing.
Weighted RSI is normalized from -100 to 100, with color-coded velocity and acceleration histograms.
HSI1! First 30m Candle Strategy (15m Chart)## HSI1! First 30-Minute Candle Breakout Strategy (15m Chart) — Description
### Overview
This strategy is designed for trading **Hang Seng Index (HSI) Futures** on a 15-minute chart. It uses the price range established during the first 30 minutes of the Hong Kong main session (09:15–09:44:59) to define key breakout levels for a systematic trade entry each day.
### How the Strategy Works
#### 1. Reference Candle Period
- **Aggregation Window:** The strategy monitors the first two 15-minute bars of the session (09:15:00–09:44:59 HKT).
- **Range Capture:** It records the highest and lowest prices (the "reference high/low") during this window.
#### 2. Trade Setup
- After the 09:45 bar completes, the reference range is locked in.
- Throughout the rest of the trading day (within session hours), the strategy looks for breakouts beyond the reference range.
#### 3. Entry Rules
- **Long Entry (Buy):**
- Triggered if price rises to or above the reference high.
- Only entered if the user's settings permit "Buy Only" or "Both".
- **Short Entry (Sell):**
- Triggered if price falls to or below the reference low.
- Only entered if the user's settings permit "Sell Only" or "Both".
- **Single trade per day:**
- Once any trade executes, no additional trades are opened until the next session.
#### 4. Exit Rules
- **Take Profit (TP):**
- Target profit is set to a distance equal to the initial range added above the long entry (or subtracted below the short entry).
- Example: For a 100-point range, a long trade targets entry + 100 points.
- **Stop Loss (SL):**
- Longs are stopped out if price falls back to the session's reference low; shorts are stopped out if price rallies to the reference high.
#### 5. Session Control
- Active only within the regular day session (09:15–12:00 and 13:00–16:00 HKT).
- Trade tracking resets each new trading day.
#### 6. Trade Direction Manual Setting
- A user input allows restriction to "Buy Only", "Sell Only" or "Both" directions, providing discretion over daily bias.
### Example Workflow
| Step | Action |
|---------------------------|-------------------------------------------------------------------------|
| 09:15–09:44 | Aggregate first two 15m candles; record daily high/low |
| After 09:45 | Wait for a breakout (price crossing either the high or the low) |
| Long trade triggered | Enter at the reference high, target is "high + range", SL is at the low |
| Short trade triggered | Enter at the reference low, target is "low - range", SL at the high |
| Trade management | No more trades for the day, regardless of further breakouts |
| End of session (if open) | Trades may be closed per further logic or left to strategy to handle |
### Key Features and Benefits
- **Discipline:** Only one trade per day, minimizing overtrading.
- **Clarity:** Transparent entry/exit rules; no discretionary execution.
- **Flexibility:** User can bias system to buy-only, sell-only, or allow both, depending on trend or personal view.
- **Simple Risk Control:** Pre-defined stop loss and profit target for every trade.
- **Works best in:** Trending, breakout-prone markets with a history of impulsive moves early in the session.
This strategy is ideal for systematic traders looking to capture the Hang Seng's early session momentum, with robust rule-based management and minimal intervention.
SENTIMENTSENTIMENT Indicator – User Guide
Summary
The SENTIMENT indicator provides a quick visual reference for current and recent market sentiment. It compares the closing price to a custom sentiment value, which is the average of the 100-period (default) simple moving averages (SMA) of the high and low prices. The indicator displays this information in a color-coded table and plots the difference between price and sentiment as a line on your chart.
How to Use
1. Table Overview
The table appears on your chart in your chosen position.
It displays four rows: the current bar (“Now”) and the previous three bars (“Bar -1”, “Bar -2”, “Bar -3”).
Each row shows:
The bar label (The current bar is live and active, constantly changing)
The closing price for that bar
The difference between the closing price and the sentiment value for that bar
The sentiment difference is color-coded:
Green: Price is above sentiment (bullish)
Red: Price is below sentiment (bearish)
2. Chart Plot
The indicator plots a line showing the difference between the current price and the sentiment value.
When the line is above zero: price is above sentiment (bullish).
When the line is below zero: price is below sentiment (bearish).
3. Settings
Number of Lookback Bars: Adjusts the SMA period for sentiment calculation (default is 100).
Table Position: Choose where to display the table on your chart (e.g., Top Left, Bottom Right).
How to Interpret
Green values in the table or a plot above zero suggest bullish sentiment.
Red values in the table or a plot below zero suggest bearish sentiment.
Use this indicator to quickly assess if the market is trading above or below its recent average sentiment level.
Tips
You can combine the SENTIMENT indicator with other tools or signals for more robust trading decisions.
Adjust the lookback period to suit your trading timeframe and style.
MA Table [RanaAlgo]The "MA Table " indicator is a comprehensive and visually appealing tool for tracking moving average signals in TradingView. Here's a short summary of its usefulness:
Key Features:
Dual MA Support:
Tracks both EMA (Exponential Moving Average) and SMA (Simple Moving Average) signals (10, 20, 30, 50, 100 periods).
Users can toggle visibility for EMA/SMA separately.
Clear Signal Visualization:
Displays Buy (▲) or Sell (▼) signals based on price position relative to each MA.
Color-coded (green for buy, red for sell) for quick interpretation.
Customizable Table Design:
Adjustable position (9 placement options), colors, text size, and border styling.
Alternating row colors improve readability.
Optional MA Plots:
Can display the actual MA lines on the chart for visual confirmation (with distinct colors/styles).
Usefulness:
Quick Overview: The table consolidates multiple MA signals in one place, saving time compared to checking each MA individually.
Trend Confirmation: Helps confirm trend strength when multiple MAs align (e.g., price above all MAs → strong uptrend).
Flexible: Suitable for both short-term (10-20 period) and long-term (50-100 period) traders.
Aesthetic: Professional design enhances chart clarity without clutter.
Ideal For:
Traders who rely on moving average crossovers or price-MA relationships.
Multi-timeframe analysis when combined with other tools.
Beginners learning MA strategies (clear visual feedback).
TrendShift [MOT]📈 TrendShift – Multi-Factor Momentum & Trend Signal Suite
TrendShift is a precision-built momentum and confluence tool designed to highlight directional shifts in price action. It combines EMA slope structure, oscillator confirmation, volume behavior, and dynamic SL/TP logic into one cohesive system. Whether you're trading with the trend or catching reversals, TrendShift provides data-backed clarity and visual confidence — and it’s available free to the public.
🔍 Core Signal Logic
Buy (🟢 Long) and Sell (🔴 Short) signals are triggered when multiple conditions align within a set bar window (default: 5 bars):
Stochastic RSI K/D cross
RSI crosses above 20 (long) or below 80 (short)
Stochastic RSI breaks 20 (long) or 80 (short)
Volume exceeds 20-bar average
🧭 Visual Trend Dashboard – Signal Table
A real-time on-chart dashboard displays:
EMA Trend: Bullish / Bearish / Mixed (based on 4 EMA slopes)
Stoch RSI: Oversold / Overbought / Neutral
RSI: Exact value with zone label
Volume: Above or Below average
Dashboard theme and position are fully customizable.
📐 Trend Structure with EMA Slope Logic
Plots four EMAs (21, 50, 100, 200) color-coded by slope:
Green = Rising
Red = Falling
These feed into the dashboard's EMA Trend display.
🎯 Optional Take Profit / Stop Loss Zones
When enabled, SL/TP lines plot automatically on valid signals:
Fixed-distance targets (e.g., 10pt TP, 5pt SL)
Auto-remove on TP or SL hit
Separate lines for long vs. short trades
Fully customizable styling
🔁 Trailing Stop Filter (Internal Logic)
A custom ATR-based trailing stop helps validate directional strength:
ATR period
HHV window
ATR multiplier
Used internally — not plotted — to confirm trend progression before entry.
⚙️ Customizable Parameters
Every core component is user-configurable:
EMA periods: 21 / 50 / 100 / 200
ATR trailing logic: period, HHV, multiplier
Oscillator settings: Stoch RSI & RSI
Volume length
SL/TP toggles and point values
Bar clustering window
Dashboard theme and location
🔔 Alerts Included
BUY Signal Triggered
SELL Signal Triggered
Compatible with webhook automation or mobile push notifications.
⚠️ Disclaimer
This tool is for educational purposes only and is not financial advice. Trading involves risk — always do your own research and consult a licensed professional before making trading decisions.
% / ATR Buy, Target, Stop + Overlay & P/L% / ATR Buy, Target, Stop + Overlay & P/L
This tool combines volatility‑based and fixed‑percentage trade planning into a single, on‑chart overlay—with built‑in profit‑and‑loss estimates. Toggle between ATR or percentage modes, plot your Buy, Target and Stop levels, and see the dollar gain or loss for a specified position size—all in one interactive table and chart display.
NOTE: To activate plotted lines, price labels, P/L rows and table values, enter a Buy Price greater than zero.
What It Does
Mode Toggle: Choose between “ATR” (volatility‑based) or “%” (fixed‑percentage) calculations.
Buy Price Input: Manually enter your entry price.
ATR Mode:
Target = Buy + (ATR × Target Multiplier)
Stop = Buy − (ATR × Stop Multiplier)
Percentage Mode:
Target = Buy × (1 + Target % / 100)
Stop = Buy × (1 – Stop % / 100)
P/L Estimates: Specify a dollar amount to “invest” at your Buy price, and the script calculates:
Gain ($): Profit if Target is hit
Loss ($): Cost if Stop is hit
Visual Overlay: Draws horizontal lines for Buy, Target and Stop, with optional price labels on the chart scale.
Interactive Table: Displays Buy, Target, Stop, ATR/timeframe info (in ATR mode), percentages (in % mode), and P/L rows.
Customization Options
Line Settings:
Choose color, style (solid/dashed/dotted), and width for Buy, Target, Stop lines.
Extend lines rightward only or in both directions.
Table Settings:
Position the table (top/bottom × left/right).
Toggle individual rows: Buy Price; Target (multiplier or %); Stop (multiplier or %); Target ATR %; Stop ATR %; ATR Time Frame; ATR Value; Gain ($); Loss ($).
Customize text colors for each row and background transparency.
General Inputs:
ATR length and optional ATR timeframe override (e.g. use daily ATR on an intraday chart).
Target/Stop multipliers or percentages.
Dollar Amount for P/L calculations.
How to Use It for Trading
Plan Your Entry: Enter your intended Buy Price and position size (dollar amount).
Select Mode: Toggle between ATR or % mode depending on whether you prefer volatility‑based or fixed offsets.
Assess R:R and P/L: Instantly see your Target, Stop levels, and potential profit or loss in dollars.
Visual Reference: Lines and price labels update in real time as you tweak inputs—ideal for live trading, backtesting or trade journaling.
Ideal For
Traders who want both volatility‑based and percentage‑based exit options in one tool
Those who need on‑chart P/L estimates based on position size
Swing and intraday traders focused on objective, rule‑based trade management
Anyone who uses ATR for adaptive stops/targets or fixed percentages for simpler exits
BB-Model Inspired Absolute Strength Index📊 BB-Model Inspired Absolute Strength Index (ASI)
Author: © GabrielAmadeusLau
Category: Momentum Oscillator / Adaptive Model / Divergence Tool
🔍 Overview
The BB-Model Inspired ASI is an advanced oscillator that combines a novel BB-model weighted moving average with percentile-based return normalization to quantify absolute market strength. This hybrid design allows the indicator to adapt dynamically to volume, volatility, and price structure, while detecting divergences and extremes with high sensitivity.
🧠 Key Concepts
🧩 1. BB-Model Weighting Engine
Each price in the lookback period is weighted by:
Fitness: Either Volume or ATR.
Decay: An exponential penalty applied to older data.
This results in a context-aware moving average that prioritizes impactful recent bars while ignoring stale noise.
📈 2. Absolute Strength Index Calculation
Computes returns from the BB-weighted price history.
Sorts returns and identifies thresholds for:
Top Percentile (Winners) – Strong upside moves.
Bottom Percentile (Losers) – Strong downside moves.
The current return is normalized within this dynamic range, scaled to , producing the ASI oscillator.
🧰 3. Signal Line & MA Smoothing
Select from SMA, EMA, WMA, RMA, or HMA to smooth the ASI signal.
Fully customizable length and styling.
🔄 4. Divergence Detection (Optional)
Detects bullish and bearish divergences between ASI and price using pivot highs/lows.
Highly customizable:
Adjustable lookback window.
Optional Heikin-Ashi integration.
Color-coded plots and labels.
Alerts for divergence events.
⚙️ Inputs Summary
Parameter Description
Fitness Source Volume or ATR
Decay Factor Penalty on older bars
Returns Lookback How many bars to calculate return distribution
Percentile Thresholds Set overbought and oversold bands dynamically
MA Type & Length Control signal smoothing
Divergence Settings Toggle divergence logic and sensitivity
📌 Use Cases
Detect when absolute directional strength is reaching exhaustion.
Spot early signs of bullish or bearish divergences between momentum and price.
Filter signals by volume or volatility importance using BB-model weighting.
Use in combination with trend filters for precision entries/exits.
Percentage Buy, Target, Stop + OverlayPercentage Buy, Target, Stop + Overlay
This tool helps traders plan entries and exits using fixed percentage offsets instead of volatility. It plots Buy, Target, and Stop levels on the chart based on a user‑defined entry price and simple percentage multipliers—giving a clear, objective framework for risk/reward.
NOTE: To activate the lines and table, enter a Buy Price greater than zero.
What It Does
Buy Price Input: Manually enter your intended entry price (e.g. planned or executed trade).
Percentage‑Based Target and Stop:
Target Price = Buy × (1 + Target % / 100)
Stop Price = Buy × (1 – Stop % / 100)
Visual Overlay: Draws horizontal lines at Buy, Target, and Stop levels on your chart.
Interactive Table: Displays Buy, Target, Stop and their percentages in a customizable on‑chart table.
Customization Options
Line Settings
Choose color, style (solid/dashed/dotted), and width for each line.
Extend lines to the right only or both directions.
Table Settings
Position table (top/bottom × left/right).
Toggle rows for Buy, Target, Stop, and percentage values.
Adjust text colors and background transparency.
How to Use It for Trading
Plan Your Trade: Enter your entry price.
Set Exits: Specify target and stop percentages to instantly see risk/reward zones.
Visual Reference: Lines update in real time as you adjust inputs—ideal for live monitoring or backtesting.
Straightforward Risk Management: Fixed percentages offer a simple alternative when ATR or volatility‑based levels aren’t preferred.
Ideal For
Traders who prefer fixed percentage targets/stops
Quick risk/reward visualization
Beginners seeking a clear, rule‑based exit framework
Any trader wanting an alternative to volatility‑based sizing
Ultimate ATR ProUltimate ATR Pro - Professional Volatility Analysis Tool
Unlock Market Turning Points with Precision Volatility Analysis
Key Features
1. Advanced ATR Calculation Engine
4 MA Types: RMA (Wilder's), SMA, EMA, WMA
Customizable Period: Adjust ATR length (default: 14)
Multi-Timeframe Compatible: Works on all chart intervals
2. Smart Volatility Extremum Detection
Low Volatility Signals: Identifies ATR contraction periods
High Volatility Signals: Detects ATR expansion phases
Custom Lookback Period: Set detection window (10-500 bars)
3. Professional Divergence System
Bullish Divergence: Price ↑ while ATR ↓ (trend continuation signal)
Bearish Divergence: Price ↓ while ATR ↑ (trend acceleration signal)
Visual Connection Lines: Dotted lines highlight price-ATR relationships
4. Visual Extreme Value Lines (NEW!)
Lowest ATR Line: Customizable dotted line showing minimum volatility level
Highest ATR Line: Customizable dotted line marking maximum volatility level
Dynamic Positioning: Auto-updates with each new bar
5. Complete Customization System
Full Color Control:
Signal markers (low/high volatility)
Divergence labels
ATR line
Extreme value lines
Background highlights
Toggle Features: Enable/disable any visual element
6. Intelligent Alert System
Dual Alert Types:
Volatility Extremes (Low/High ATR)
Divergence Signals (Bullish/Bearish)
Smart Cooldown: Prevent alert fatigue with adjustable cooldown period
Visual Alert Tags: Color-coded notifications at chart top
7. Professional Dashboard
Real-time status monitoring:
Current volatility state
Cooldown timers
Extreme ATR values
Divergence detection status
Color-coded for instant recognition
How Traders Benefit
Strategic Applications
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| SIGNAL | MARKET CONDITION | TRADING IMPLICATION |
|-----------------------|---------------------------|------------------------------------|
| Low Volatility | Contraction/Consolidation | Prepare for breakout strategies |
| High Volatility | Expansion/Climax | Watch for reversals or pauses |
| Bullish Divergence | Price↑ ATR↓ | Trend continuation opportunity |
| Bearish Divergence | Price↓ ATR↑ | Trend acceleration warning |
| Lowest ATR Line Break | Volatility breakout | Confirm directional movement |
Risk Management Tools
ATR-Based Position Sizing: Use extreme values to calculate optimal trade size
Dynamic Stop Loss: Adjust stops based on current volatility regime
Volatility Filtering: Avoid trading during uncertain high-volatility periods
Setup Recommendations
Parameter Guide
pine
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length: 14 // Standard ATR period
lookback: 50 // Optimal for swing trading
cooldownPeriod: 14// Balanced alert frequency
minLineColor: #00C853 // Bright green for low volatility
maxLineColor: #FF3D00 // Bright red for high volatility
Professional Configurations
Day Trading: Lookback=20-30, Cooldown=5-10
Swing Trading: Lookback=50-100, Cooldown=10-20
Position Trading: Lookback=100-200, Cooldown=20-50
Why Choose Ultimate ATR Pro?
"Transforms complex volatility analysis into clear, actionable visual cues - the essential tool for breakout traders and risk managers alike."
Install Now To:
Spot consolidation before big moves
Identify exhaustion at trend extremes
Automate volatility-based position sizing
Receive instant alerts at critical volatility turns
Gain professional-grade insights into market dynamics
Master market rhythms with the most advanced ATR analysis tool on TradingView!
Compatibility: Works flawlessly across stocks, forex, crypto, and commodities on all timeframes.
Version: 2.0 (Enhanced with Extreme Value Lines)
Category: Volatility Analysis | Risk Management | Professional Trading
Ultimate ATR Extreme DetectorUltimate ATR Extreme Detector
Professional Volatility Analysis Tool for Strategic Trading
Discover Market Turning Points with Precision
Key Features
Smart Extremum Detection: Identifies when ATR reaches its highest or lowest point in your specified lookback period
Quad Visual Alert System:
▲ Green bottom triangles for low volatility signals
▼ Red top triangles for high volatility signals
Background color highlighting for instant state recognition
Status panel showing current volatility extremes
Dual Alert Modes:
TradingView native alerts ("ATR Low/High Signal")
Visual chart alerts with period details (e.g., "Alert: ATR Low (50 bars)")
4 Calculation Methods: RMA (Wilder's), SMA, EMA, and WMA
Fully Customizable:
Adjustable ATR period (default: 14)
Variable lookback window (default: 50)
Toggle features on/off via intuitive input settings
How It Works
The indicator scans volatility extremes using proprietary logic:
Calculates True Range using selected method (RMA/SMA/EMA/WMA)
Compares current ATR value against historical data
Flags critical moments when:
Volatility contracts to N-period lows (prepare for breakouts)
Volatility expands to N-period highs (watch for trend exhaustion)
Strategic Applications
markdown
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| SIGNAL | MARKET CONDITION | TRADING IMPLICATION |
|------------------|-----------------------|--------------------------------|
| Low Volatility | Contraction/Consolidation | Anticipate breakout moves |
| High Volatility | Expansion/Climax | Prepare for reversals or pauses |
Position Sizing: Use ATR values to determine optimal stop distances
Entry Timing: Combine with price action at key support/resistance
Risk Management: Adjust stops dynamically based on volatility regime
Optimization Guide
Day Trading: Short lookback (20-30 periods)
Swing Trading: Medium lookback (50-100 periods)
Position Trading: Long lookback (100-200 periods)
Volatility Analysis: Compare multiple timeframes simultaneously
Professional Setup Recommendations
Combine with:
Breakout Confirmation: Volume spikes, chart patterns
Reversal Signals: RSI divergence, candlestick reversals
Volatility Filters: Bollinger Band contraction, Keltner Channel breakout
Compatibility: Works flawlessly across FX, stocks, crypto, and commodities on all timeframes.
Why Traders Choose This Indicator
"Transforms complex volatility analysis into clear, actionable visual cues – the essential tool for breakout traders and risk managers alike."
Install Now to:
Spot consolidation before big moves
Identify exhaustion at trend extremes
Automate volatility-based position sizing
Receive instant alerts at critical volatility turns
Master market rhythms with professional-grade volatility intelligence!
🏹 CCI+RSI+EMA Strategy (Enhanced with Oscillator Filters)This script is a multi-indicator trading strategy that combines trend-following and momentum signals using CCI, RSI, and EMA, enhanced with MACD and Stochastic filters for more reliable entries.
🧠 Core Concept
The strategy aims to:
Identify the trend using EMA(50) and a long-term comparison of EMA 35 vs EMA 169;
Spot momentum using CCI and RSI;
Filter entries through MACD and Stochastic confirmations to avoid false signals.
📌 Buy Conditions:
✅ Price is above EMA
✅ RSI is above a set threshold (default: 45)
✅ CCI is above a set threshold (default: 0)
✅ Uptrend confirmed by EMA 35 > EMA 169
✅ CCI has recently reached oversold levels (e.g. below -100)
✅ MACD shows bullish crossover
✅ Stochastic confirms exit from oversold zone
📌 Sell Conditions:
✅ Price is below EMA
✅ RSI is below a set threshold (default: 55)
✅ CCI is below 0
✅ Downtrend confirmed by EMA 35 < EMA 169
✅ CCI has recently reached overbought levels (e.g. above 100)
✅ MACD shows bearish crossover
✅ Stochastic confirms exit from overbought zone
🎯 Features:
Fully customizable inputs — adapt to your own trading style.
Trend background shading — green for uptrend, red for downtrend.
Enhanced entry logic — filters out weak signals.
CCI Cross and Trigger markers — additional confirmation tools.
🔔 Alerts
You can set alerts for ENHANCED BUY and ENHANCED SELL to never miss a quality signal.
📈 Use Case:
This tool is suitable for:
Manual trading entries and exits
Being a component of a broader trading system
Semi-automation with alert-based strategies
⚠️ Disclaimer:
This script is for educational and testing purposes only. It is not financial advice. Always backtest and demo trade before using on a live account.
Info TableOverview
The Info Table V1 is a versatile TradingView indicator tailored for intraday futures traders, particularly those focusing on MESM2 (Micro E-mini S&P 500 futures) on 1-minute charts. It presents essential market insights through two customizable tables: the Main Table for predictive and macro metrics, and the New Metrics Table for momentum and volatility indicators. Designed for high-activity sessions like 9:30 AM–11:00 AM CDT, this tool helps traders assess price alignment, sentiment, and risk in real-time. Metrics update dynamically (except weekly COT data), with optional alerts for key conditions like volatility spikes or momentum shifts.
This indicator builds on foundational concepts like linear regression for predictions and adapts open-source elements for enhanced functionality. Gradient code is adapted from TradingView's Color Library. QQE logic is adapted from LuxAlgo's QQE Weighted Oscillator, licensed under CC BY-NC-SA 4.0. The script is released under the Mozilla Public License 2.0.
Key Features
Two Customizable Tables: Positioned independently (e.g., top-right for Main, bottom-right for New Metrics) with toggle options to show/hide for a clutter-free chart.
Gradient Coloring: User-defined high/low colors (default green/red) for quick visual interpretation of extremes, such as overbought/oversold or high volatility.
Arrows for Directional Bias: In the New Metrics Table, up (↑) or down (↓) arrows appear in value cells based on metric thresholds (top/bottom 25% of range), indicating bullish/high or bearish/low conditions.
Consensus Highlighting: The New Metrics Table's title cells ("Metric" and "Value") turn green if all arrows are ↑ (strong bullish consensus), red if all are ↓ (strong bearish consensus), or gray otherwise.
Predicted Price Plot: Optional line (default blue) overlaying the ML-predicted price for visual comparison with actual price action.
Alerts: Notifications for high/low Frahm Volatility (≥8 or ≤3) and QQE Bias crosses (bullish/bearish momentum shifts).
Main Table Metrics
This table focuses on predictive, positional, and macro insights:
ML-Predicted Price: A linear regression forecast using normalized price, volume, and RSI over a customizable lookback (default 500 bars). Gradient scales from low (red) to high (green) relative to the current price ± threshold (default 100 points).
Deviation %: Percentage difference between current price and predicted price. Gradient highlights extremes (±0.5% default threshold), signaling potential overextensions.
VWAP Deviation %: Percentage difference from Volume Weighted Average Price (VWAP). Gradient indicates if price is above (green) or below (red) fair value (±0.5% default).
FRED UNRATE % Change: Percentage change in U.S. unemployment rate (via FRED data). Cell turns red for increases (economic weakness), green for decreases (strength), gray if zero or disabled.
Open Interest: Total open MESM2 futures contracts. Gradient scales from low (red) to high (green) up to a hardcoded 300,000 threshold, reflecting market participation.
COT Commercial Long/Short: Weekly Commitment of Traders data for commercial positions. Long cell green if longs > shorts (bullish institutional sentiment); Short cell red if shorts > longs (bearish); gray otherwise.
New Metrics Table Metrics
This table emphasizes technical momentum and volatility, with arrows for quick bias assessment:
QQE Bias: Smoothed RSI vs. trailing stop (default length 14, factor 4.236, smooth 5). Green for bullish (RSI > stop, ↑ arrow), red for bearish (RSI < stop, ↓ arrow), gray for neutral.
RSI: Relative Strength Index (default period 14). Gradient from oversold (red, <30 + threshold offset, ↓ arrow if ≤40) to overbought (green, >70 - offset, ↑ arrow if ≥60).
ATR Volatility: Score (1–20) based on Average True Range (default period 14, lookback 50). High scores (green, ↑ if ≥15) signal swings; low (red, ↓ if ≤5) indicate calm.
ADX Trend: Average Directional Index (default period 14). Gradient from weak (red, ↓ if ≤0.25×25 threshold) to strong trends (green, ↑ if ≥0.75×25).
Volume Momentum: Score (1–20) comparing current to historical volume (lookback 50). High (green, ↑ if ≥15) suggests pressure; low (red, ↓ if ≤5) implies weakness.
Frahm Volatility: Score (1–20) from true range over a window (default 24 hours, multiplier 9). Dynamic gradient (green/red/yellow); ↑ if ≥7.5, ↓ if ≤2.5.
Frahm Avg Candle (Ticks): Average candle size in ticks over the window. Blue gradient (or dynamic green/red/yellow); ↑ if ≥0.75 percentile, ↓ if ≤0.25.
Arrows trigger on metric-specific logic (e.g., RSI ≥60 for ↑), providing directional cues without strict color ties.
Customization Options
Adapt the indicator to your strategy:
ML Inputs: Lookback (10–5000 bars) and RSI period (2+) for prediction sensitivity—shorter for volatility, longer for trends.
Timeframes: Individual per metric (e.g., 1H for QQE Bias to match higher frames; blank for chart timeframe).
Thresholds: Adjust gradients and arrows (e.g., Deviation 0.1–5%, ADX 0–100, RSI overbought/oversold).
QQE Settings: Length, factor, and smooth for fine-tuned momentum.
Data Toggles: Enable/disable FRED, Open Interest, COT for focus (e.g., disable macro for pure intraday).
Frahm Options: Window hours (1+), scale multiplier (1–10), dynamic colors for avg candle.
Plot/Table: Line color, positions, gradients, and visibility.
Ideal Use Case
Perfect for MESM2 scalpers and trend traders. Use the Main Table for entry confirmation via predicted deviations and institutional positioning. Leverage the New Metrics Table arrows for short-term signals—enter bullish on green consensus (all ↑), avoid chop on low volatility. Set alerts to catch shifts without constant monitoring.
Why It's Valuable
Info Table V1 consolidates diverse metrics into actionable visuals, answering critical questions: Is price mispriced? Is momentum aligning? Is volatility manageable? With real-time updates, consensus highlights, and extensive customization, it enhances precision in fast markets, reducing guesswork for confident trades.
Note: Optimized for futures; some metrics (OI, COT) unavailable on non-futures symbols. Test on demo accounts. No financial advice—use at your own risk.
The provided script reuses open-source elements from TradingView's Color Library and LuxAlgo's QQE Weighted Oscillator, as noted in the script comments and description. Credits are appropriately given in both the description and code comments, satisfying the requirement for attribution.
Regarding significant improvements and proportion:
The QQE logic comprises approximately 15 lines of code in a script exceeding 400 lines, representing a small proportion (<5%).
Adaptations include integration with multi-timeframe support via request.security, user-customizable inputs for length, factor, and smooth, and application within a broader table-based indicator for momentum bias display (with color gradients, arrows, and alerts). This extends the original QQE beyond standalone oscillator use, incorporating it as one of seven metrics in the New Metrics Table for confluence analysis (e.g., consensus highlighting when all metrics align). These are functional enhancements, not mere stylistic or variable changes.
The Color Library usage is via official import (import TradingView/Color/1 as Color), leveraging built-in gradient functions without copying code, and applied to enhance visual interpretation across multiple metrics.
The script complies with the rules: reused code is minimal, significantly improved through integration and expansion, and properly credited. It qualifies for open-source publication under the Mozilla Public License 2.0, as stated.
Multi-Crypto Principal Component AnalysisVersion 0.2
## 📌 Multi-Crypto Principal Component Analysis (PCA) — Indicator Summary
### 🎯 Purpose
This indicator identifies **cryptocurrency assets that are behaving differently** from the rest of the market, using a simplified approach inspired by Principal Component Analysis (PCA). It’s designed to help traders spot **cross-market divergences**, detect outliers, and improve asset selection and correlation-based strategies.
### ⚙️ How It Works
The indicator analyzes the **log returns** of up to 7 user-defined assets over a configurable lookback period (default: 100 bars). It computes the **z-score** (standardized deviation) for each asset’s return series and compares it against the average behavior of the group.
If an asset’s behavior deviates significantly (beyond a threshold of 1.5 standard deviations), it’s flagged as an **outlier**.
- Each outlier is plotted as a **colored dot horizontally spaced** above the price bar
- Up to **3 dots per bar** are shown for visual clarity
This PCA-style detection works in real time, directly on the chart, and gives you a quick overview of which assets are breaking correlation.
### 🔧 Inputs
- 🕒 **Lookback Period**: Number of bars to analyze (default: 100)
- 🔢 **Assets 1–7**: Choose any 7 crypto symbols from any exchange
- 🎨 **Colors**: Predefined per asset (e.g. BTCUSDT = red, ETHUSDT = yellow)
- 📈 **Threshold**: Internal (1.5 std dev); adjustable in code if needed
### 📊 Outputs
- 🟢 Dots above candles representing assets that are acting as outliers
- 🧠 Real-time clustering insight based on statistical deviation
- 🧭 Spatially spaced dots to avoid visual overlap when multiple outliers appear
### ⚠️ Limitations
- This is a **PCA-inspired approximation**, not true matrix-based PCA
- It does **not compute principal components or eigenvectors**
- Sensitivity may vary with asset volatility or sparse trading data
- Real PCA requires external tools like Python or R for full dimensional analysis
This tool is ideal for traders who want real-time crypto correlation insights without needing external data science platforms. It’s lightweight, fast, and highly visual — and gives you a powerful lens into market dislocations across multiple assets.
Multi-Timeframe EMAs & WMAsMulti-Timeframe EMAs & WMAs (MTF EMAWMA)
The Multi-Timeframe EMAs & WMAs (MTF EMAWMA) indicator is a comprehensive tool designed to provide a multi-dimensional view of market trends by plotting various Exponential Moving Averages (EMAs) and Weighted Moving Averages (WMAs) from different timeframes onto your current chart. This allows traders to quickly assess confluent support and resistance levels, identify trend strength, and gain a broader market perspective without switching timeframes.
Key Features:
Multiple EMAs and WMAs:
This indicator includes:
- EMA 200: Plotted from H1 and M15 timeframes.
- EMA 100: Plotted from H1, M30, and M15 timeframes.
- EMA 50: Plotted from H4, H1, M30, and M15 timeframes.
- WMA 720: Plotted from H4, H1, M30, M15, and M1 timeframes.
Multi-Timeframe Analysis: By displaying moving averages from various timeframes, the indicator helps in understanding the interplay of different trends and their potential impact on price action.
Visual Distinction : Each moving average type and its timeframe representation are color-coded and styled (solid vs. dashed lines) for easy identification and clarity on the chart.
EMA 200: Dark Red
EMA 100: Cyan/Teal
EMA 50: SaddleBrown
WMA 720: Orange
Recommended Usage:
This indicator is specifically tailored for XAU/USD (Gold). It is intended to be used as a confluence tool to complement your existing trading strategies and indicators. It is not designed to be used solely as an entry or exit signal. Instead, leverage the information provided by these multi-timeframe moving averages to:
- Identify major trend directions: Observe the alignment and slope of longer-term moving averages.
- Spot potential support and resistance zones: Price often reacts to these key moving average levels from higher timeframes.
- Confirm trade bias: Use the higher timeframe moving averages to confirm the direction of your trades on lower timeframes.
- Enhance risk management: Understand where strong levels might exist to place stop-losses or take-profits.
Always combine this indicator with other forms of analysis, such as price action, chart patterns, volume analysis, or other technical indicators, to make informed trading decisions.
Remark: The script and description were created by AI.
NY Open ATR System - Tick Range Filter### **New York Open ATR System - Brief Overview**
#### **🎯 Core Purpose**
Identifies **high-potential breakout setups** at the New York open (13:30 UTC) by combining:
1. **Volatility filters** (dual ATR periods)
2. **Tick-based range analysis**
3. **Time-specific triggers**
---
### **⚙️ Key Components**
| **Feature** | **Function** |
|---------------------------|-----------------------------------------------------------------------------|
| **ATR Filters** | Dual volatility checks (short + long periods) at 13:25 UTC |
| **Tick Range Limit** | Highlights candles with range < user-defined ticks (default: 150) |
| **Time Precision** | Focuses exclusively on 13:30 UTC weekday candles |
| **Visual Markers** | Yellow highlight + tick count label (e.g., "147/150 ticks") |
| **Info Panel** | Real-time display of settings and current tick count |
---
### **📊 How It Works**
1. **Pre-Open Check (13:25 UTC)**
- Verifies market volatility using 2 ATR values
- Requires both to exceed user-defined thresholds
2. **Open Analysis (13:30 UTC)**
- Measures exact tick count: `(high - low) / instrument_mintick`
- Compares against your max tick limit (adjustable 1-5000)
3. **Visual Trigger**
- Highlights candle yellow if:
```tick_count < your_set_limit```
- Labels show exact performance vs limit (e.g., "142/150 ticks")
---
### **⚡ Trading Signals**
| **Condition** | **Visual Feedback** |
|----------------------------|---------------------------------------------|
| High volatility + tight range | Yellow candle + tick count label |
| All other scenarios | No marking |
---
### **🛠️ Customization**
```pine
// Key Adjustable Parameters:
maxTicks = input.int(150) // Set 1-5000 ticks
atrPeriod1 = input.int(14) // Short ATR (2-5000)
atrPeriod2 = input.int(161) // Long ATR (2-5000)
candleColor = input.color(color.yellow) // Highlight color
```
---
### **💡 Practical Use Cases**
1. **Breakout Anticipation**
- Tight ranges after volatility spikes often precede strong moves
2. **Session Scalping**
- Identify low-range opens for mean-reversion plays
3. **Volatility Filtering**
- Avoid trading when ATR thresholds aren't met
---
### **📈 Suggested Settings**
| **Market** | **Max Ticks** | **ATR Periods** |
|------------------|--------------|----------------|
| Forex (EUR/USD) | 100-200 | 14/161 |
| Stocks (SPY) | 50-120 | 10/200 |
| Crypto (BTC) | 300-500 | 20/100 |
---
### **✅ Benefits**
- **Precision Timing**: Focused on NY open liquidity surge
- **Quantitative Filtering**: Exact tick measurement + volatility thresholds
- **Clean Visuals**: No chart clutter - only marks qualifying candles
- **Adaptable**: Works across all markets and timeframes
This system helps traders spot high-probability breakout setups by combining volatility anticipation with precise range measurement at the market's most liquid opening window.
Digit Sum Mark (3/6/9 + Price ~33 ±15)This indicator highlights the price bars where the digit sum of high or low equals 3, 6, or 9, and the closing price is within a specific range (around ₹33 ±15, i.e., mod 100 ∈ ).
✨ Key Features:
Calculates digit sum of high and low values.
Adds +1 if the decimal portion > 0.50 (smart rounding logic).
Only activates when close price mod 100 is between 18 to 48, a zone inspired by the resonance around 33.
Marks the chart with green downward arrows (for high) and red upward arrows (for low) when digit sum = 3, 6, or 9.
📌 Inspired by Gann numerology and price vibration logic – especially the powerful influence of 3, 6, and 9 as noted by Nikola Tesla.
🚨 Best used on intraday or positional charts where price oscillates frequently around round figures.
🧠 Try pairing this with support/resistance tools for better accuracy!
