GOLD – Dan Toma Patterns + Market Structure/OB [by Dragos] v3.2GOLD – Dan Toma Patterns + Market Structure/OB v3.2
(Panel x3 • Last R:R • Logical SL • HTF Filter)
All-in-one XAUUSD tool blending Dan Toma patterns (P1–P4) with Internal/External Market Structure, Order Blocks, fixed liquidity (PDH/PDL & sessions), breakout short, dip-buy on trend, a live signals panel, and auto-draw Entry/SL/TP for the last signal. Includes an HTF EMA filter (with slope) and logical Stop Loss to keep signals disciplined.
What it does
P1 – Trend Reverse SELL: structure shift (BOS down) + Supply rejection (wick/engulf) and/or RSI overbought.
P2 – Liquidity: hunts fixed liquidity: PDH/PDL and Asia/London/NY session highs/lows + wick rejection confirmation. BUY at PDL/session Lows, SELL at PDH/session Highs.
P3 – Breakout Short: tight range (ATR/ATRma below threshold) + break under range LL with volume spike.
P4 – Dip Buy: uptrend (EMA) + Demand + pullback to 61.8% (configurable) + RSI oversold.
Market Structure + OB: marks CHoCH/BOS on Internal/External and draws Order Blocks from the last opposite candle at the break (box cap & custom colors).
Auto R:R (last signal only): draws Entry/SL/TP1/TP2 (1.5R / 3R) for the most recent signal to keep the chart clean.
Logical SL: choose Pivot, SD Box, or %ATR and force correct placement (BUY: SL below entry / SELL: SL above entry).
HTF Filter: confirm direction with HTF EMA (custom TF/length), optional slope requirement (rising for BUY / falling for SELL).
Panel x3: compact panel with the last N signals (time, pattern, side, entry, SL, TP1, TP2); place it in any corner.
Quick workflow
HTF context: enable HTF filter (e.g., EMA 200 on H4) to lock a clean bias.
Structure & zones: let MS/OB mark CHoCH/BOS and Supply/Demand; look for confluence with PDH/PDL & session HLs.
Triggers:
SELL: P1/P2/P3 confluencing with Supply, BOS down, wick up, breakout volume.
BUY: P2/P4 in Demand, uptrend, pullback near 0.618, RSI OS.
Execution & management: confirm on bar close (optional repaintSafe), use logical SL, follow auto Entry/SL/TP lines of the last signal.
Panel: monitor fresh events (timestamp + details) for quick validation/journaling.
Key settings
General: XAU/GOLD filter, close-bar confirmation, optional candle labels, show Entry/SL/TP for the last signal only.
HTF: timeframe, EMA length, Need Slope toggle.
Structure/OB: Internal/External/Both/Off, swing lengths, OB lookback, max OB boxes.
Supply/Demand: pivot length (HH/LL) + wick fraction for imbalance detection.
Liquidity: PDH/PDL on/off, sessions (Asia/London/NY) and session HLs.
Breakout Short: range lookback, ATR/ATRma threshold, volume spike multiplier.
Dip Buy: EMA trend length, target Fibo retracement.
RSI/Volume: RSI length + OB/OS thresholds.
SL/TP: Pivot / SD Box / %ATR, ATR length & multiplier, forceLogicalSL.
Alerts (ready to use)
P1 – Trend Reverse SELL
P2 – Liquidity Short
P2 – Liquidity Buy
P3 – Breakout Short
P4 – Dip Buy
(Messages include current price; for auto-execution use your own bridge/automation.)
Recommendations
Timeframes: M5/M15 for entries, H1/H4 for context.
Look for 2–3 confluences (MS, OB, PDH/PDL/sessions, RSI/volume) before validating a signal.
Avoid flat, low-volume ranges or thin-liquidity periods.
Disclaimer
This is an analysis tool, not financial advice. Trading involves risk. Use strict risk management (risk < 1%/trade, R:R ≥ 1:2, mandatory SL) and test on demo/backtest before going live.
การวิเคราะห์แนวโน้ม
ICT Sessions & Killzones +PRO (VinceFxBT)ICT Sessions & Killzones +PRO (VinceFxBT)
All in one Session and Killzone script for FX, Futures and Crypto markets. It includes London, New York, CBDR & Asia Sessions and Killzones.
Features
Includes London, New York, Asia, CBDR sessions
Includes all ICT Killzones
Extended session highs/lows up to 90s back, until mitigated.
Set recurring alerts for session highs and lows
Includes Indices price levels and opens
Uses UTC timezones with automatic Daylight Saving Time so NO timezone correction needed ; ) Works out of the box for all regions, including different dates of DST for US/EU.
Session highs/lows displayed on chart as lines, box or background color
Customize line styles, width and colors
Customize colors for Sessions and Killzones
Optionally include weekends for Session or Killzone separately
Optionally display day separators and labels
Fully control which options are displayed at higher or lower timeframes. (e.g. hide sessions when timeframe is 1h or higher)
Session display options
Session Background Color.
Session High & Low Lines, including Session Middle Line.
Extended session highs/lows until mitigated
Extended Session Highs & Lows until mitigated.
Session Background Color with extended Asia Session Highs & Lows until mitigated.
Set recurring alerts for session highs and lows
Set automatic alerts when previous and/or current session levels are broken.
Aljane's 13/48 strategyThis indicator combines key moving averages (EMA 13, EMA 48, and EMA 200) with VWAP and SuperTrend to help identify market trends, reversals, and potential entry/exit points. EMA crosses provide momentum signals, VWAP tracks volume-weighted price, and SuperTrend highlights trend direction with buy/sell labels.
GOLD – OB Clean + Internal/External Market Structure [Dragos]GOLD – OB Clean + Internal/External Market Structure
All-in-one tool for XAUUSD that combines:
Clean Order Blocks (Supply/Demand) derived from the last opposite candle after a BOS (break of structure)
Internal & External Market Structure (CHoCH/BOS) with lines and labels
Visual zone management: right extension, mitigation (first touch), invalidation (close beyond), and 50% midline
How it works
Structure & BOS
Finds pivots (HH/LL) via Pivot len.
Triggers BOS when price crosses the last confirmed swing.
Order Blocks
On BOS, scans the last N bars for the opposite candle (bear for BOS up / bull for BOS down) and draws the OB:
Green = Demand, Red = Supply
Optional: use wicks (high/low) or just the body (open/close).
Mitigation: on first touch the zone fades or hides (per settings).
Invalidation: if price closes beyond the zone, it turns gray or gets removed (per settings).
Midline: 50% line for refined management (partial entries, R/R, etc.).
Internal / External Structure
Two structure layers: Internal (micro, shorter swing) and External (macro, longer swing).
Displays CHoCH/BOS with labels; External lines can be dashed for clarity.
Choose to show Internal, External, or Both.
Key Settings
Structure
Pivot len (swing HH/LL) — pivot sensitivity.
Order Blocks
Lookback N bars for the opposite candle
Use wicks — if on, zone uses high/low; otherwise just the body.
Zone Management
Extend zones to the right
Hide zone after mitigation (touch)
Fade zone after mitigation
Remove zone when invalidated
Show 50% line
Max zones stored
Colors: fill/border for Demand/Supply, 50% line color, Mitigated/Invalidated colors.
General
Only on XAU/GOLD (optional) — restricts execution to symbols containing “XAU”/“GOLD”.
Market Structure (tab)
Internal Swing Length / External Swing Length
Show Internal/External Market Structure (Both / Internal / External)
Colors for bullish/bearish MS
Usage Guide
Recommended timeframes: M5/M15 for entries, H1 for context.
Workflow:
Determine External (macro) direction.
Look for BOS and OB in the same direction on Internal.
Wait for mitigation (touch) inside the OB; the 50% line can be used for conservative entries.
Good confluences: sessions (killzones), volume spikes, extreme RSI, MAs (add as separate indicators if needed).
Visual Conventions
Demand: green; Supply: red.
Mitigated: faded yellow (or hidden if chosen).
Invalidated: gray (or removed).
50% line: gray.
Notes & Limits
Pine v6. Object caps follow TradingView limits (max_* = 500). On long histories, increase “Max zones stored” carefully.
BOS is computed when price crosses the last confirmed swing; some traders prefer “close-only” confirmation (can be customized if desired).
This tool does not auto-generate BUY/SELL signals; it’s a context & zones assistant.
Risk disclaimer: Trading involves risk. This tool is for educational analysis and does not guarantee profit. Use strict risk management (fixed SL, R:R ≥ 1:2, risk < 1% per trade).
Sectoral Stock Top-to-Down Screener : ⭐ Sectoral Stock Top-to-Down Screener Analysis ⭐
This Screener indicator provides a bird's-eye view of the Market's important indices, sectors and Stocks listed in those sectors.
1: It represents a Screener Table that shows the (%) percentage change of the market, Sectors and all the Stocks (listed via input) . The color represents the Trend of the Previous day and the current day compared to Nifty50 Index.
2: The %percentage change is dependent on the Time-Frame selection:
This Input allows users to look at the Major Index > sectors > stocks in their specific time frame.
3: It has a alert function, which can trigger for all symbols/securities in the table.
Irrespective of Trading View Free or Paid user, this alert works for all .
4: Compatible with All Devices (Laptop / Mobile / Tablet / PC)
15m — numerotare candele într-o perioadă delimitată15m — numerotare candele într-o perioadă delimitată
Moons Bearish Pullback Detector# Moons Bearish Pullback Detector
## Overview
**Moons Bearish Pullback Detector** is a trend following indicator intended to identify bearish trend pullbacks to enter on price continuation.
This indicator is useful for setting watchlist alerts! Configure your pullback rules and have it monitor your watchlist for you. You will be alerted when pullbacks have occurred and are starting to continue in the trend direction.
## How It Works
### Bearish Trend Detection
The indicator identifies a bearish trend based on a configurable MA basis
### Pullback Identification
Once in a bearish trend, the indicator tracks:
Swing Lows: Continuously monitors and updates the lowest point in the trend
Pullback Start: Detects the first green candle after establishing new lows
Pullback Duration: Monitors pullback length (configurable number of bars)
Pullback Depth: Ensures pullbacks don't violate a key moving average (optional)
### Multi-Layer Filtering System
The indicator employs several optional filters to ensure signal quality:
Volume Filter: Set a minimum daily volume to ensure sufficient liquidity
Pullback Duration Filter: Pick a min and max bar count you like to see in a pullback.
Pullback Depth Filter: Monitors that pullbacks don't close above the desired EMA, maintaining trend strength
Validation Filter: Checks higher timeframe moving average for trend confirmation
Context Filter: Analyzes even higher timeframe for broader market context
### Alert System
The indicator generates alerts when:
All filtering conditions are met
Price crosses back below the configured alert line
This signals potential continuation of the bearish trend and gives warning to place potential orders
## Key Features
### Alerts
The indicator is useful for driving a watchlist alert to notify you when a pullback is starting to continue the trend.
### Visual Elements
Bollinger Bands: Optional display of 1 and 2 standard deviation bands
Moving Averages: 20 EMA (basis), 50 EMA, and 10 EMA (pullback filter)
Trend High Line: Yellow line showing current swing low during pullbacks
Alert Line: Entry signal line positioned below swing low
Background Highlighting: Gray for normal pullbacks, red tint when rules aren't met
Labels: Price labels at swing lows and depth violation warnings
Wick Detection: Tags bullish and bearish wicks for helpful spotting in your analysis
### Information Table
Comprehensive status table to show the state of your filters and rules as price plays out.
### Configuration Options
Moving average settings
Display Options
Alert Configuration
Filter Settings
## Best Use Cases
Swing Trading: Identify high-probability entries during trend pullbacks
Trend Following: Stay aligned with strong bearish momentum
Risk Management: Multiple filters help avoid false signals
Multi-Timeframe Analysis: Ensures broader market context alignment
## Trading Applications
This indicator works best when:
Markets are in clear downtrends
Sufficient volume is present
Multiple timeframes align
Used in conjunction with proper risk management
The Moons Pullback Detector provides traders with a systematic approach to identifying and capitalizing on pullback opportunities in strong bearish trends, combining technical rigor with practical usability.
---
*Note: This indicator is for educational purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple factors when making trading decisions.*
Moons Bullish Pullback Detector# Moons Pullback Detector
## Overview
**Moons Pullback Detector** is a trend following indicator intended to identify bullish trend pullbacks to enter on price continuation.
This indicator is useful for setting watchlist alerts! Configure your pullback rules and have it monitor your watchlist for you. You will be alerted when pullbacks have occurred and are starting to continue in the trend direction.
## How It Works
### Bullish Trend Detection
The indicator identifies a bullish trend based on a configurable MA basis
### Pullback Identification
Once in a bullish trend, the indicator tracks:
Swing Highs: Continuously monitors and updates the highest point in the trend
Pullback Start: Detects the first red candle after establishing new highs
Pullback Duration: Monitors pullback length (configurable number of bars)
Pullback Depth: Ensures pullbacks don't violate a key moving average (optional)
### Multi-Layer Filtering System
The indicator employs several optional filters to ensure signal quality:
Volume Filter: Set a minimum daily volume to ensure sufficient liquidity
Pullback Duration Filter: Pick a min and max bar count you like to see in a pullback.
Pullback Depth Filter: Monitors that pullbacks don't close below the desired EMA, maintaining trend strength
Validation Filter: Checks higher timeframe moving average for trend confirmation
Context Filter: Analyzes even higher timeframe for broader market context
### Alert System
The indicator generates alerts when:
All filtering conditions are met
Price crosses back above the configured alert line
This signals potential continuation of the bullish trend and gives warning to place potential orders
## Key Features
### Alerts
The indicator is useful for driving a watchlist alert to notify you when a pullback is starting to continue the trend.
### Visual Elements
Bollinger Bands: Optional display of 1 and 2 standard deviation bands
Moving Averages: 20 EMA (basis), 50 EMA, and 10 EMA (pullback filter)
Trend High Line: Yellow line showing current swing high during pullbacks
Alert Line: Entry signal line positioned below swing high
Background Highlighting: Gray for normal pullbacks, red tint when depth violated
Labels: Price labels at swing highs and depth violation warnings
Wick Detection: Tags bullish and bearish wicks for helpful spotting in your analysis
### Information Table
Comprehensive status table to show the state of your filters and rules as price plays out.
### Configuration Options
Moving average settings
Display Options
Alert Configuration
Filter Settings
## Best Use Cases
Swing Trading: Identify high-probability entries during trend pullbacks
Trend Following: Stay aligned with strong bullish momentum
Risk Management: Multiple filters help avoid false signals
Multi-Timeframe Analysis: Ensures broader market context alignment
## Trading Applications
This indicator works best when:
Markets are in clear uptrends
Sufficient volume is present
Multiple timeframes align bullishly
Used in conjunction with proper risk management
The Moons Pullback Detector provides traders with a systematic approach to identifying and capitalizing on pullback opportunities in strong bullish trends, combining technical rigor with practical usability.
---
*Note: This indicator is for educational purposes. Past performance does not guarantee future results. Always use proper risk management and consider multiple factors when making trading decisions.*
Prophecy Orderflow – US30 ScalperProphecy Orderflow – US30 Scalper is not a general-purpose indicator.
It was engineered specifically for New York session scalping on US30, where volatility demands precision, speed, and discipline.
🔹 Sniper Entries Only – The algorithm combines multi-timeframe bias, dynamic ATR filters, and orderflow-based band triggers to identify high-probability scalps with minimal noise.
🔹 Clean Visual Execution – Automatic plotting of SL and TP1/2/3 levels ensures you can trade with clarity and consistency, without overcomplicating your chart.
🔹 Adaptive to US30 Volatility – Optimized settings account for the unique pace and structure of the Dow Jones index, giving you signals aligned with real scalping conditions.
🔹 Exclusivity by Design – This script is not built for mass retail use. It is tuned for operators and scalpers who treat trading as execution, not experimentation.
⚠️ Disclaimer: This tool is provided for educational purposes only. Past performance does not guarantee future results. Trade responsibly and manage risk.
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan
📌 Overview
The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength.
Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions.
It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups.
⚙️ Key Features
🔹 Customizable Calculations
DI Length (default 13) – controls sensitivity of directional indicators.
+/- DI Smoothing – smooths DI signals with user-selected MA.
Multiple Moving Average Types – SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA.
ADX Smoothing – define how smooth/fast the ADX reacts.
🔹 Flexible Display
Toggle between line plots or histogram view.
Adjustable plot thickness.
Option to plot averages of ADX, +DI, -DI for confirmation.
Configurable background fills:
ADX above/below momentum threshold.
ADX rising/falling color shading.
Trend-grade based color intensity.
🔹 Momentum & Thresholds
Momentum Level (default 25) → defines “strong trend” zone.
Crossover Threshold (default 15) → helps detect early DI crossovers.
Color-coded histogram bars for +DI vs -DI difference:
Above/below zero.
Rising/falling momentum.
🔹 Bullish & Bearish Grading System
The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions:
Bullish Grades
Grade 1 → Very Weak Bullish
Grade 2 → Weak Bullish
Grade 3 → Moderate Bullish
Grade 4 → Strong Bullish
Grade 5 → Very Strong Bullish
Bearish Grades
Grade 1 → Very Weak Bearish
Grade 2 → Weak Bearish
Grade 3 → Moderate Bearish
Grade 4 → Strong Bearish
Grade 5 → Very Strong Bearish
Labels are automatically plotted above bars to indicate the active grade.
🔹 Alerts
Bullish Alert → when +DI crosses above its average below the threshold OR bullish conditions are met.
Bearish Alert → when -DI crosses above its average below the threshold OR bearish conditions are met.
These alerts make it possible to automate trading signals for scalping, intraday, and swing trading.
📊 Use Cases
Trend Strength Measurement
Spot when markets shift from range-bound to trending.
Confirm the reliability of breakouts with strong ADX readings.
Bullish vs Bearish Control
Compare +DI vs -DI strength to gauge trend direction.
Identify trend reversals early with DI slope changes.
Momentum Confirmation
Use ADX rising + DI grades to validate trade entries.
Filter false breakouts with weak ADX.
Trade Grading System
Enter aggressively on Grade 4–5 signals.
Stay cautious on Grade 1–2 signals.
Automated Alerts & Screening
Combine AADX alerts with strategy rules.
Build scanners to highlight strong ADX setups across multiple stocks.
🎯 Trader’s Advantage
More powerful than standard ADX → Adds slope, grading, alerts, and visualization.
Adaptable to any style → Works for intraday scalping, swing trading, and positional analysis.
Visual clarity → Color fills, histograms, and labels simplify decision-making.
Customizable smoothing → Adjusts to fast or slow markets.
✅ Closing Note
The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence.
With Thanks,
Rrahul Desai
@Artharjan
RMI trend changeThe "RMI Trend Swing" is an automated trend-following and swing trading strategy built on a composite indicator of RMI (Relative Momentum Index) and MFI (Money Flow Index), supplemented by ADX (Average Directional Index) trend strength filtering and time-based session filtering. The strategy is designed to identify the inception points of medium-term trends and enter positions when momentum is strong, aiming to capture significant swing moves. It provides intuitive visual feedback through a dynamic band on the chart.
Core Logic & Components
Core Indicator Calculation:
RMI-MFI Composite Value: The primary signal generator. It averages a variant of the standard RSI (RMI) and the MFI, combining price change and volume factors to provide a more holistic view of market momentum.
Range-Weighted Moving Average (RWMA): A moving average weighted by each bar's range. Bars with higher volatility (larger ranges) have a greater impact, making the RWMA more responsive to market consensus and significant price movements.
Volatility Band (Band): Dynamically calculated based on the ATR (Average True Range), forming upper and lower channels around the RWMA to act as dynamic support and resistance levels.
Trade Signal Generation:
Long Signal (Buy): Generated when the RMI-MFI composite value crosses above the user-defined "Positive above" threshold (default: 66) from below, concurrently with a rising short-term EMA(5), and only if the ADX indicator confirms strong trend strength (above its threshold, default: 25).
Short Signal (Sell): Generated when the RMI-MFI composite value falls below the user-defined "Negative below" threshold (default: 30), accompanied by a falling short-term EMA(5), and confirmed by a strong ADX reading.
Multi-Layer Filtration:
ADX Trend Filter: Signals are only executed if the ADX value is above the set level, ensuring the strategy only trades in trending markets and avoids whipsaws during choppy, low-trend consolidation periods.
Trading Session Filter: Users can define a specific daily trading window (default: 09:30 - 16:00). Entry orders are only placed during this active session, helping to avoid the low liquidity and atypical volatility often seen in pre-market and post-market hours.
Auto-Close Mechanism: The strategy includes a scheduled close function (default: between 15:10-15:20) to exit all positions automatically before the market close, effectively managing overnight risk for day-trading scenarios.
Visual Output:
The strategy plots a distinct colored band on the chart for at-a-glance market assessment.
Green Band/Candles: Indicates a bullish trend phase. The RWMA line and the band below it are colored green, and all price candles also turn green.
Red Band/Candles: Indicates a bearish trend phase. The RWMA line and the band above it are colored red, and all price candles turn red.
Buy/Sell Labels: Small labels are plotted on the chart at the exact bar where a new entry signal is generated, providing clear markers for trade triggers.
Key Advantages
Multi-Factor Confirmation: Combines momentum, volume-weighted averages, and trend strength for higher-quality signals.
Integrated Risk Management: Employs ADX and time filters to avoid poor trading environments and includes a mandatory daily close.
Intuitive Visualization: The colored bands and candles provide an immediate and clear representation of the prevailing market regime.
Ideal Instruments & Market Conditions
This strategy is best suited for trend-prone instruments (such as equity indices, major cryptocurrencies, and forex majors) on intraday timeframes for swing trading. It performs optimally in markets with clear, sustained directional movement and will typically generate fewer trades during sideways, ranging conditions. 策略概述
“RMI趋势波段”是一个基于RMI(Relative Momentum Index,相对动量指数)与MFI(资金流量指数)复合指标,并辅以ADX(平均方向指数)趋势强度过滤和交易时间过滤的自动化趋势跟踪与波段交易策略。该策略旨在识别中期趋势的起始点,并在趋势强劲时入场,以期捕捉主要波段行情,同时通过可视化带状区域直观展示市场动态。
核心逻辑与组成部分
核心指标计算:
RMI-MFI 复合值: 策略的核心信号源。它计算了标准RSI的变体(RMI)和MFI的平均值,结合了价格变动和交易量因素,能更综合地反映市场的动量。
范围移动平均线 (RWMA): 一种根据K线波动幅度加权的移动平均线。波动大的K线权重更高,能更灵敏地反映市场价格的共识。
波动带 (Band): 基于ATR(平均真实波幅)动态计算得出,围绕RWMA形成上轨和下轨,构成一个动态支撑阻力通道。
交易信号生成:
多头信号 (买入): 当RMI-MFI复合值从下方突破预设的“Positive above”阈值(默认66),同时短期EMA(5)上扬,且ADX指标显示趋势强劲(高于阈值,默认25)时,产生买入信号。
空头信号 (卖出): 当RMI-MFI复合值跌破预设的“Negative below”阈值(默认30),同时短期EMA(5)下跌,且ADX指标显示趋势强劲时,产生卖出信号。
多重过滤条件:
ADX趋势过滤: 只有当ADX值高于设定的水平时,才会接受RMI产生的交易信号,确保只在趋势明确的市场环境中交易,避免在震荡市中频繁假信号。
交易时间过滤: 用户可自定义每日的交易时间段(默认:09:30 - 16:00),策略只在该时间窗口内才会开仓,帮助规避盘前盘后流动性低或波动异常的时间段。
自动平仓: 策略内置定时平仓功能(默认在15:10-15:20之间),每日收盘前自动了结所有头寸,避免隔夜风险。
可视化效果:
策略在图表上绘制了精美的彩色带状区域。
绿色区域/蜡烛图: 表示当前为多头趋势,RWMA线及下方的带状区域会显示为绿色,同时所有K线也会变为绿色。
红色区域/蜡烛图: 表示当前为空头趋势,RWMA线及上方的带状区域会显示为红色,同时所有K线也会变为红色。
在信号触发点,还会在图表相应位置生成买入或卖出的标签标记。
策略优势
多维度确认: 结合动量、成交量加权均线和趋势强度,信号质量较高。
风险控制: 通过ADX和时间过滤器有效过滤不良信号,并强制日内平仓。
直观清晰: 通过颜色和带状区域的变化,市场状态一目了然。
适用品种与场景
该策略主要适用于趋势性较强的标的(如股票指数、主流加密货币、外汇主要货币对等)的日中波段交易。在趋势明朗的行情中表现最佳,在横盘整理期间可能会减少交易频率。
MTF Options Signals (message-free)script made to help with options profitability. made using ai to increase portfolio profitability
Daily Volume Ratio Bands (20MA)
Daily Volume Ratio Bands (20MA) — by CryptoDaily
This indicator normalizes daily trading volume against the recent 20-day moving average (20MA) and plots it as a volume ratio.
It allows traders to quickly identify whether current volume is strong, weak, or within a normal range compared to historical averages.
Key Features
Normalized volume ratio with 20-day average = baseline (1.0)
Clear bands for easy interpretation (1.0 ~ 1.3 = normal, above = overheated, below = weak)
Intuitive color coding:
🟨 Yellow: Normal range (1.0 ~ 1.3)
🔵 Blue: Above 1.3× average (high/strong volume, breakout confirmation)
⚪️ Gray: Below average (low volume)
🔴 Red: At or below 0.7× (extremely low volume / lack of interest)
How to Use
Breakouts with strong volume (Blue) → higher confidence in trend continuation
Gray/Red during consolidation → signal of weak momentum or sideways phase
Quickly assess whether the market is in overheated or low-activity conditions
Notes
Designed for Daily timeframe (1D) only. It will not function properly on intraday charts.
For educational purposes only. This is not financial advice.
Author
CryptoDaily (YouTube & TradingView)
YouTube channel: cryptodaily_tv
LevelUp^ Pullback Screener ProPullbacks are often considered high-probability entry points within trending markets. This screener helps streamline the search for such opportunities using trend analysis through customizable moving averages, price action and volatility filters with ATR (Average True Range).
🔹 Why Trade Pullbacks
Pullbacks represent temporary counter-moves within a broader trend. Instead of chasing extended moves, traders can enter at more favorable price levels.
Pros
▪ Improved Entry Prices : Entering closer to support or resistance levels often provides a better risk/reward ratio.
▪ Trend Alignment : Pullbacks occur within established trends, allowing traders to participate in potential continuation moves.
▪ Defined Risk Levels : Key moving averages and recent swing points can be used to set stop-loss orders.
Cons
▪ Not all pullbacks resume the trend; some signal reversals.
▪ Price can temporarily overshoot levels, creating whipsaws.
▪ Pullback strategies work best in trending markets and may underperform in sideways conditions.
🔹 Custom Feature : Require Lower Low
The optional requirement for a lower low may help confirm that an actual pullback is occurring, rather than just sideways chop or continuation strength.
Stricter Definition of a Pullback
▪ A pullback implies some retracement against the prevailing trend.
▪ By requiring a lower low, you ensure price is genuinely pulling back, not just consolidating at the highs.
Avoids False Triggers
▪ Without this filter, you might catch stocks that simply paused for a bar (small doji, tiny inside candle) but haven’t really pulled back.
▪ The lower low condition filters for bars where sellers actually pushed price down.
Improves Entry Timing
▪ Many traders want to enter as pullbacks are maturing, not while price is still pushing higher.
▪ A lower low shows some weakness that may soon transition into support, giving a cleaner “buy-the-dip” opportunity.
Psychological Confirmation
▪ From a trader psychology standpoint, a lower low indicates that at least some holders are taking profits and that short-term participants are testing the trend.
▪ This is often the moment when strong hands step in if the trend is healthy.
🔹 Custom Feature : Specify Closing Range
Closing range % is another optional feature that can be very useful when scanning for pullbacks as it helps separate healthy retracements from weak price action.
Shows Buyer Support Within the Bar
▪ Closing near the top of the day’s range (e.g., above 60–70%) signals that even though price pulled back intraday, buyers stepped in and pushed it higher by the close.
▪ That strength is a good sign the pullback may be stabilizing.
Filters Out Weak Pullbacks
▪ If a stock closes near the low of the day, sellers are still in control — the “dip” might not be done.
▪ By requiring a higher Closing Range, you filter out setups that may keep falling.
Timing Advantage
▪ Many traders prefer entering when a pullback shows early signs of turning.
▪ A strong closing range is an objective way to catch that transition, often right before the next leg higher.
Psychological Read
▪ Closing strength suggests demand is stepping back in — traders and investors still want exposure to the trend.
▪ It reflects confidence, whereas weak closes show hesitation or distribution.
🔹 Custom Feature : ATR % Filter
Specifying an ATR (Average True Range) filter is helpful when scanning for stocks because it normalizes volatility relative to price, enabling traders to identify stocks with suitable price movement for their strategy while managing volatility by filtering out excessively erratic stocks (high ATR %) or those with insufficient movement (low ATR %), thus aligning with risk tolerance and optimizing position sizing and stop-loss placement.
Focus on Stocks With Tradable Volatility
▪ ATR measures how much a stock typically moves in a day.
▪ By setting a minimum ATR, you avoid slow, low-volatility stocks that don’t move enough to create good opportunities.
Filters Out “Too Wild” Stocks
▪ Extremely high ATR stocks can be erratic, difficult to size properly, and risky to trade.
▪ By specifying a maximum ATR (or ATR % relative to price), you can avoid setups where risk is too unpredictable.
Normalizes Price Differences
▪ A $20 stock and a $200 stock can’t be compared just on raw dollar moves.
▪ ATR (or ATR as a % of price) gives a volatility-adjusted way to compare them, so your screen is consistent across all price levels.
Improves Entry & Stop Placement
▪ Knowing that a stock typically moves, say, 2% daily versus 0.5% daily helps you set realistic stops and targets.
▪ Screening for stocks with ATR in your preferred range means trades will line up better with your risk/reward model.
Psychology
▪ ATR captures behavior. Stocks with healthy, steady volatility attract active traders because they offer movement without chaos.
▪ Too quiet = boring, too wild = stressful. ATR filters help you stay in the sweet spot.
🔹 Customization Options
With extensive customization options, traders can fine-tune pullback scans by adjusting moving averages, proximity to those averages, bar structure, closing range strength, and volatility filters. This flexibility supports different trading styles, timeframes, and risk preferences.
Configurable Moving Averages
Scanning is optimized for daily and weekly timeframes.
▪ Select up to three moving average lengths and types (e.g. 20 EMA, 50 SMA, 200 SMA) for daily and weekly timeframes.
▪ Tailor scans to different trading styles:
• Short-term traders may prefer faster averages (e.g. 10–20 EMA).
• Swing traders often use medium-term averages (e.g. 50 SMA).
• Long-term investors may focus on slower averages (e.g. 200 SMA).
Pullback Within X % of Moving Average
▪ Specify the total range of a pullback using % above and % below a moving average. The bar low is used for this comparison.
▪ For example, .5% above and .5% below a moving average, giving price a total range of 1%. If the low is outside the range, it's not considered a valid pullback.
Require Low Lower
▪ Optional setting to require that the current bar to be a lower low compared to the prior bar.
▪ See above section for more information.
Closing Range %
▪ Specify a closing range to help you spot pullbacks where buyers are reasserting control.
▪ Define how close the closing price is to the daily high or low.
▪ See above section for more information.
ATR % Filter
▪ Incorporates volatility by measuring price movement relative to Average True Range (ATR).
▪ Options include:
• Above a specified ATR %
• Below a specified ATR %
• Within a specified ATR range
This options enables filtering for setups that align with volatility preferences and risk tolerance.
🔹 Trader Psychology
Pullback trading requires both patience and discipline. Understanding the psychology behind it can improve decision-making:
▪ Patience Over FOMO: Traders must resist the urge to chase extended moves. Waiting for a pullback often leads to better entries.
▪ Confidence in the Trend : Entering during a pullback can feel counterintuitive, as price is moving against the trend in the short term. Trusting the larger trend is essential.
▪ Managing Doubt: False pullbacks and whipsaws can create frustration. Keeping risk small and consistent helps maintain emotional balance.
▪ Discipline in Risk Control: Stops should be respected. Moving or ignoring stop-loss levels during a pullback can turn a small loss into a large one.
Successful pullback traders focus on process over outcome , knowing that consistency across many trades matters more than the result of any single trade.
🔹 True Market Leader Pullbacks
▪ GEV: Pullback to 10-EMA and 21-EMA
▪ NVDA: Pullback to 50-SMA
🔹 Best Practices
▪ Trend First : Pullbacks are most effective when traded in the direction of the larger trend. Confirm trend strength before acting on screener results.
▪ Combine Filters : Use moving average, closing range, and ATR filters together for higher-quality setups.
▪ Chart Review : Always verify results visually before trading.
▪ Risk Management : Consider swing lows (uptrends) or highs (downtrends) to define stop-loss placement.
🔹 Summary
The Pullback Screener helps traders quickly locate potential opportunities where price retraces toward key moving averages within an ongoing trend. With customizable filters for moving averages, closing range, and ATR, the screener adapts to a wide range of strategies and risk profiles.
Pullback trading offers favorable entries and defined risk, but success requires patience, discipline, and confirmation of trend conditions.
RSI+MA by RAThis Indicator generates buy and sell signal on the crossover of RSI and MA, HTF RSI is also plotted for HTF trend.
Session Levels [odnac]This indicator plots the high and low levels of the three main trading sessions—Asia, Europe, and New York—along with the previous day’s high, low, and open. Each session’s time range can be customized using a UTC offset, and the indicator automatically tracks session highs and lows as price develops.
Functions:
Plots session highs and lows for Asia, Europe, and New York.
Shows previous day’s high, low, and open as reference levels.
Session times are fully configurable with hour and minute precision, including UTC offset adjustment.
Each session level is marked with both a line and a label for clarity.
Color customization for each session and previous day levels.
Designed for intraday timeframes (1–60 minutes).
Filter Condition:
When the filter option is enabled, the indicator adjusts how levels are drawn:
A session high above the current close is displayed as a solid line with a visible label.
Once price closes above that high, the line becomes dotted and dimmed, and the label also becomes less emphasized.
Similarly, a session low below the current close is displayed as a solid line and label.
If price closes below that low, the line switches to dotted and dimmed, with the label adjusted accordingly.
This behavior highlights only the most relevant levels for the current market position while still keeping breached levels visible in a subdued style, making it easier to spot active breakout or liquidity zones.
Markov 3D Trend AnalyzerMarkov 3D Trend Analyzer
🔹 What Is a Markov State?
A Markov chain models systems as states with probabilities of transitioning from one state to another. The key property is memorylessness: the next state depends only on the current state, not the full past history. In financial markets, this allows us to study how conditions tend to persist or flip — for example, whether a green candle is more likely to be followed by another green or by a red.
🔹 How This Indicator Uses It
The Markov 3D Trend Analyzer tracks three independent Markov chains:
Direction Chain (short-term): Probability that a green/red candle continues or reverses.
Volatility Chain (mid-term): Probability of volatility staying Low/Medium/High or transitioning between them.
Momentum Chain (structural): Probability of momentum (Bullish, Neutral, Bearish) persisting or flipping.
Each chain is updated dynamically using exponentially weighted probabilities (EMA), which balance the law of large numbers (stability) with adaptivity to new market conditions.
The indicator then classifies each chain’s dominant state and combines them into an actionable summary at the bottom of the table (e.g. “📈 Bullish breakout,” “⚠️ Choppy bearish fakeouts,” “⏳ Trend squeeze / possible reversal”).
🔹 Settings
Direction Lookback / Volatility Lookback / Momentum Lookback
Control the rolling window length (sample size) for each chain. Larger = smoother but slower to adapt.
EMA Weight
Adjusts how much weight is given to recent transitions vs. older history. Lower values adapt faster, higher values stabilize.
Table Position
Choose where the table is displayed on your chart.
Table Size
Adjust the font size for readability.
🔹 How To Consider Using
Contextual tool: Use the summary row to understand the current market condition (trending, mean-reverting, expanding, compressing, continuation, fakeout risk).
Complementary filter: Combine with your existing strategies to confirm or filter signals. For example:
📈 If your breakout strategy fires and the summary says Bullish breakout, that’s confirmation.
⚠️ If it says Choppy fakeouts, be cautious of traps.
Visualization aid: The table lets you see how probabilities shift across direction, volatility, and momentum simultaneously.
⚠️ This indicator is not a signal generator. It is designed to help interpret market states probabilistically. Always use in conjunction with broader analysis and risk management.
🔹 Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any security, cryptocurrency, or instrument. Trading involves risk, and past probabilities or behaviors do not guarantee future outcomes. Always conduct your own research and use proper risk management.
NY Session (PIPNEXUS) — 16:00 to 21:00Description:
This indicator, created for the PIPNEXUS Community, is designed to make backtesting easier and more efficient. It highlights the New York session, allowing you to clearly see when the market experiences the highest volume and liquidity. By using this tool, PIPNEXUS members can better identify peak trading hours, spot potential high-momentum moves, and optimize their trading strategy. Ideal for traders who want a precise and visual way to track the most active market periods.
ROV - Rising Only VolumeROV - Rising Only Volume
It will show the volume only if it is above the previous period
RSI +++Customizable RSI indicator with bullish and bearish color coding and pivot dots when RSI crosses its moving average.
Beta -> PROFABIGHI_CAPITAL🌟 Overview
The Beta → PROFABIGHI_CAPITAL indicator calculates the systematic risk measurement of any asset relative to a chosen benchmark using statistical correlation analysis and variance decomposition methodology . It combines return calculation, covariance analysis, and variance measurement across (Asset Returns, Benchmark Returns, Correlation Analysis) with rolling window calculations. The indicator features automated beta coefficient calculation , zero-division protection , and benchmark comparison analysis for enhanced systematic risk assessment and market correlation identification.
⚙️ General Settings
– Lookback Period : Number of bars for calculating rolling statistics and correlations (1-500 bars, default: 30).
– Benchmark Symbol : Reference market index for beta calculation (default: CRYPTO:BTCUSD).
– Overlay Setting : False - displays as separate pane oscillator for clear beta visualization.
📊 Beta Calculation Components & Methods
The indicator calculates systematic risk metrics using advanced statistical methods:
- Asset Returns : Rate of change calculation for current asset percentage movements per bar
- Benchmark Returns : Rate of change calculation for benchmark percentage movements per bar
- Mean Asset Returns : Simple moving average of asset returns over lookback period
- Mean Benchmark Returns : Simple moving average of benchmark returns over lookback period
- Covariance Calculation : Manual computation measuring how asset and benchmark move together
- Benchmark Variance : Manual calculation of benchmark return volatility and dispersion
- Beta Coefficient : Systematic risk measure derived from covariance divided by benchmark variance
📈 Advanced Statistical Features
Correlation Analysis Framework:
- Return Decomposition : Separation of asset returns into systematic and unsystematic components
- Market Sensitivity : Measurement of asset responsiveness to benchmark movements
- Risk Attribution : Identification of market-related versus asset-specific risk factors
Rolling Window Analysis:
- Dynamic Lookback : Continuously updated statistics over specified period for current relevance
- Adaptive Calculation : Real-time recalculation with each new bar for evolving correlation analysis
- Statistical Smoothing : Moving average application for return volatility reduction
Mathematical Protection:
- Zero-Division Safety : Built-in protection preventing calculation errors when benchmark variance equals zero
- Error Handling : Returns appropriate values when statistical calculations become undefined
- Robust Framework : Maintains functionality across all market conditions and correlation scenarios
📏 Signal Levels & Interpretation
– Beta = 1 (Gray Dash) : Asset moves in perfect correlation with benchmark (same volatility)
– Beta > 1 (Above Line) : Asset exhibits higher volatility than benchmark (amplified movements)
– Beta < 1 (Below Line) : Asset exhibits lower volatility than benchmark (dampened movements)
– Beta = 0 (Zero Line) : No correlation between asset and benchmark movements
– Negative Beta : Inverse correlation - asset moves opposite to benchmark direction
📋 Beta Interpretation Framework
Systematic Risk Analysis :
- Beta > 1.0 : High Beta Asset - greater systematic risk and volatility than market
- Beta = 1.0 : Market Beta - moves in line with benchmark volatility
- Beta < 1.0 : Low Beta Asset - lower systematic risk and volatility than market
- Beta ≈ 0 : Market Neutral - minimal correlation with benchmark movements
- Negative Beta : Hedge Asset - provides portfolio diversification through inverse correlation
Portfolio Management Applications :
- Risk Assessment : Understanding asset's contribution to portfolio systematic risk
- Diversification Analysis : Identifying correlation patterns for portfolio construction
- Hedging Strategy : Utilizing beta relationships for risk management
- Asset Selection : Choosing assets based on desired beta characteristics
🎨 Visual Features
– Beta Line : Blue line plot with 2-pixel thickness showing beta coefficient evolution
– Reference Line : Horizontal dashed gray line at beta = 1 for market correlation reference
– Separate Pane Display : Independent oscillator visualization for focused beta analysis
– Dynamic Scaling : Automatic y-axis adjustment to accommodate beta value ranges
🔍 Advanced Features
– Multi-Asset Compatibility : Works across all asset classes and market instruments
– Benchmark Flexibility : Any tradable symbol can serve as correlation benchmark
– Real-Time Updates : Continuous beta recalculation with each new price bar
– Statistical Accuracy : Manual covariance and variance calculations ensuring precision
– Rolling Window Methodology : Maintains specified lookback period for all calculations
– Correlation Sensitivity : Responsive to changing market relationships and correlations
🔔 Beta Applications & Signals
– High Beta Identification : Assets with beta > 1.2 indicating high market sensitivity
– Low Beta Recognition : Assets with beta < 0.8 indicating defensive characteristics
– Beta Stability Analysis : Monitoring beta consistency over time for reliability assessment
– Correlation Breakdown : Identifying periods when historical correlations change
– Risk Management : Using beta values for position sizing and portfolio risk control
– Market Regime Detection : Beta changes often signal shifting market conditions
By utilizing precise statistical correlation analysis and systematic risk measurement , the Beta → PROFABIGHI_CAPITAL indicator provides mathematically robust market sensitivity analysis , offering accurate identification of systematic risk exposure through rigorous covariance calculation , variance analysis , and benchmark correlation assessment .