RSI DCA StrategyThis strategy combines RSI oversold signals with a Dollar-Cost Averaging (DCA) buying approach.
Trigger:
When the RSI (Relative Strength Index) crosses below 30, the strategy marks an oversold condition.
DCA Entry:
Once triggered, the strategy executes up to three consecutive daily entries (1 per day), splitting the predefined capital equally (configurable by user).
Position Management:
Take Profit at a configurable % above the average entry price.
Stop Loss at a configurable % below the average entry price.
Exit Conditions:
The strategy automatically exits either on reaching Take Profit or Stop Loss.
Visualization:
RSI plotted with oversold line (30).
Take Profit and Stop Loss lines displayed after entry.
Performance Reporting:
Includes an optional monthly performance table for evaluating results by month.
Note:
This strategy is for testing RSI-based mean reversion with staggered entries. It is not financial advice and should be optimized and validated for each market or timeframe before practical use.
インジケーターとストラテジー
Information Flow Analysis[b🔄 Information Flow Analysis: Systematic Multi-Component Market Analysis Framework
SYSTEM OVERVIEW AND ANALYTICAL FOUNDATION
The Information Flow Kernel - Hybrid combines established technical analysis methods into a unified analytical framework. This indicator systematically processes three distinct data streams - directional price momentum, volume-weighted pressure dynamics, and intrabar development patterns - integrating them through weighted mathematical fusion to produce statistically normalized market flow measurements.
COMPREHENSIVE MATHEMATICAL FRAMEWORK
Component 1: Directional Flow Analysis
The directional component analyzes price momentum through three mathematical vectors:
Price Vector: p = C - O (intrabar directional bias)
Momentum Vector: m = C_t - C_{t-1} (bar-to-bar velocity)
Acceleration Vector: a = m_t - m_{t-1} (momentum rate of change)
Directional Signal Integration:
S_d = \text{sgn}(p) \cdot |p| + \text{sgn}(m) \cdot |m| \cdot 0.6 + \text{sgn}(a) \cdot |a| \cdot 0.3
The signum function preserves directional information while absolute values provide magnitude weighting. Coefficients create a hierarchy emphasizing intrabar movement (100%), momentum (60%), and acceleration (30%).
Final Directional Output: K_1 = S_d \cdot w_d where w_d is the directional weight parameter.
Component 2: Volume-Weighted Pressure Analysis
Volume Normalization: r_v = \frac{V_t}{\overline{V_n}} where \overline{V_n} represents the n-period simple moving average of volume.
Base Pressure Calculation: P_{base} = \Delta C \cdot r_v \cdot w_v where \Delta C = C_t - C_{t-1} and w_v is the velocity weighting factor.
Volume Confirmation Function:
f(r_v) = \begin{cases}
1.4 & \text{if } r_v > 1.2 \
0.7 & \text{if } r_v < 0.8 \
1.0 & \text{otherwise}
\end{cases}
Final Pressure Output: K_2 = P_{base} \cdot f(r_v)
Component 3: Intrabar Development Analysis
Bar Position Calculation: B = \frac{C - L}{H - L} when H - L > 0 , else B = 0.5
Development Signal Function:
S_{dev} = \begin{cases}
2(B - 0.5) & \text{if } B > 0.6 \text{ or } B < 0.4 \
0 & \text{if } 0.4 \leq B \leq 0.6
\end{cases}
Final Development Output: K_3 = S_{dev} \cdot 0.4
Master Integration and Statistical Normalization
Weighted Component Fusion: F_{raw} = 0.5K_1 + 0.35K_2 + 0.15K_3
Sensitivity Scaling: F_{master} = F_{raw} \cdot s where s is the sensitivity parameter.
Statistical Normalization Process:
Rolling Mean: \mu_F = \frac{1}{n}\sum_{i=0}^{n-1} F_{master,t-i}
Rolling Standard Deviation: \sigma_F = \sqrt{\frac{1}{n}\sum_{i=0}^{n-1} (F_{master,t-i} - \mu_F)^2}
Z-Score Computation: z = \frac{F_{master} - \mu_F}{\sigma_F}
Boundary Enforcement: z_{bounded} = \max(-3, \min(3, z))
Final Normalization: N = \frac{z_{bounded}}{3}
Flow Metrics Calculation:
Intensity: I = |z|
Strength Percentage: S = \min(100, I \times 33.33)
Extreme Detection: \text{Extreme} = I > 2.0
DETAILED INPUT PARAMETER SPECIFICATIONS
Sensitivity (0.1 - 3.0, Default: 1.0)
Global amplification multiplier applied to the master flow calculation. Functions as: F_{master} = F_{raw} \cdot s
Low Settings (0.1 - 0.5): Enhanced precision for subtle market movements. Optimal for low-volatility environments, scalping strategies, and early detection of minor directional shifts. Increases responsiveness but may amplify noise.
Moderate Settings (0.6 - 1.2): Balanced sensitivity for standard market conditions across multiple timeframes.
High Settings (1.3 - 3.0): Reduced sensitivity to minor fluctuations while emphasizing significant flow changes. Ideal for high-volatility assets, trending markets, and longer timeframes.
Directional Weighting (0.1 - 1.0, Default: 0.7)
Controls emphasis on price direction versus volume and positioning factors. Applied as: K_{1,weighted} = K_1 \times w_d
Lower Values (0.1 - 0.4): Reduces directional bias, favoring volume-confirmed moves. Optimal for ranging markets where momentum may generate false signals.
Higher Values (0.7 - 1.0): Amplifies directional signals from price vectors and acceleration. Ideal for trending conditions where directional momentum drives price action.
Velocity Weighting (0.1 - 1.0, Default: 0.6)
Scales volume-confirmed price change impact. Applied in: P_{base} = \Delta C \times r_v \times w_v
Lower Values (0.1 - 0.4): Dampens volume spike influence, focusing on sustained pressure patterns. Suitable for illiquid assets or news-sensitive markets.
Higher Values (0.8 - 1.0): Amplifies high-volume directional moves. Optimal for liquid markets where volume provides reliable confirmation.
Volume Length (3 - 20, Default: 5)
Defines lookback period for volume averaging: \overline{V_n} = \frac{1}{n}\sum_{i=0}^{n-1} V_{t-i}
Short Periods (3 - 7): Responsive to recent volume shifts, excellent for intraday analysis.
Long Periods (13 - 20): Smoother averaging, better for swing trading and higher timeframes.
DASHBOARD SYSTEM
Primary Flow Gauge
Bilaterally symmetric visualization displaying normalized flow direction and intensity:
Segment Calculation: n_{active} = \lfloor |N| \times 15 \rfloor
Left Fill: Bearish flow when N < -0.01
Right Fill: Bullish flow when N > 0.01
Neutral Display: Empty segments when |N| \leq 0.01
Visual Style Options:
Matrix: Digital blocks (▰/▱) for quantitative precision
Wave: Progressive patterns (▁▂▃▄▅▆▇█) showing flow buildup
Dots: LED-style indicators (●/○) with intensity scaling
Blocks: Modern squares (■/□) for professional appearance
Pulse: Progressive markers (⎯ to █) emphasizing intensity buildup
Flow Intensity Visualization
30-segment horizontal bar graph with mathematical fill logic:
Segment Fill: For i \in : filled if \frac{i}{29} \leq \frac{S}{100}
Color Coding System:
Orange (S > 66%): High intensity, strong directional conviction
Cyan (33% ≤ S ≤ 66%): Moderate intensity, developing bias
White (S < 33%): Low intensity, neutral conditions
Extreme Detection Indicators
Circular markers flanking the gauge with state-dependent illumination:
Activation: I > 2.0 \land |N| > 0.3
Bright Yellow: Active extreme conditions
Dim Yellow: Normal conditions
Metrics Display
Balance Value: Raw master flow output ( F_{master} ) showing absolute directional pressure
Z-Score Value: Statistical deviation ( z_{bounded} ) indicating historical context
Dynamic Narrative System
Context-sensitive interpretation based on mathematical thresholds:
Extreme Flow: I > 2.0 \land |N| > 0.6
Moderate Flow: 0.3 < |N| \leq 0.6
High Volatility: S > 50 \land |N| \leq 0.3
Neutral State: S \leq 50 \land |N| \leq 0.3
ALERT SYSTEM SPECIFICATIONS
Mathematical Trigger Conditions:
Extreme Bullish: I > 2.0 \land N > 0.6
Extreme Bearish: I > 2.0 \land N < -0.6
High Intensity: S > 80
Bullish Shift: N_t > 0.3 \land N_{t-1} \leq 0.3
Bearish Shift: N_t < -0.3 \land N_{t-1} \geq -0.3
TECHNICAL IMPLEMENTATION AND PERFORMANCE
Computational Architecture
The system employs efficient calculation methods minimizing processing overhead:
Single-pass mathematical operations for all components
Conditional visual rendering (executed only on final bar)
Optimized array operations using direct calculations
Real-Time Processing
The indicator updates continuously during bar formation, providing immediate feedback on changing market conditions. Statistical normalization ensures consistent interpretation across varying market regimes.
Market Applicability
Optimal performance in liquid markets with consistent volume patterns. May require parameter adjustment for:
Low-volume or after-hours sessions
News-driven market conditions
Highly volatile cryptocurrency markets
Ranging versus trending market environments
PRACTICAL APPLICATION FRAMEWORK
Market State Classification
This indicator functions as a comprehensive market condition assessment tool providing:
Trend Analysis: High intensity readings ( S > 66% ) with sustained directional bias indicate strong trending conditions suitable for momentum strategies.
Reversal Detection: Extreme readings ( I > 2.0 ) at key technical levels may signal potential trend exhaustion or reversal points.
Range Identification: Low intensity with neutral flow ( S < 33%, |N| < 0.3 ) suggests ranging market conditions suitable for mean reversion strategies.
Volatility Assessment: High intensity without clear directional bias indicates elevated volatility with conflicting pressures.
Integration with Trading Systems
The normalized output range facilitates integration with automated trading systems and position sizing algorithms. The statistical basis provides consistent interpretation across different market conditions and asset classes.
LIMITATIONS AND CONSIDERATIONS
This indicator combines established technical analysis methods and processes historical data without predicting future price movements. The system performs optimally in liquid markets with consistent volume patterns and may produce false signals in thin trading conditions or during news-driven market events. This indicator is provided for educational and analytical purposes only and does not constitute financial advice. Users should combine this analysis with proper risk management, position sizing, and additional confirmation methods before making any trading decisions. Past performance does not guarantee future results.
Note: The term "kernel" in this context refers to modular calculation components rather than mathematical kernel functions in the formal computational sense.
As quantitative analyst Ralph Vince noted: "The essence of successful trading lies not in predicting market direction, but in the systematic processing of market information and the disciplined management of probability distributions."
— Dskyz, Trade with insight. Trade with anticipation.
10-Crypto Normalized IndexOverview
This indicator builds a custom index for up to 10 cryptocurrencies and plots their combined trend as a single line. Each coin is normalized to 100 at a user-selected base date (or at its first available bar), then averaged (equally or by your custom weights). The result lets you see the market direction of your basket at a glance.
How it works
For each symbol, the script finds a base price (first bar ≥ the chosen base date; or the first bar in history if base-date normalization is off).
It converts the current price to a normalized value: price / base × 100.
It then computes a weighted average of those normalized values to form the index.
A dotted baseline at 100 marks the starting point; values above/below 100 represent % performance vs. the base.
Key inputs
Symbols (10 max): Default set: BTC, ETH, SOL, POL, OKB, BNB, SUI, LINK, 1INCH, TRX (USDT pairs). You can change exchange/quote (keep all the same quote, e.g., all USDT).
Weights: Toggle equal weights or enter custom weights. Custom weights are auto-normalized internally, so they don’t need to sum to 1.
Base date: Year/Month/Day (default: 2025-06-01). Turning normalization off uses each symbol’s first available bar as its base.
Smoothing: Optional SMA to reduce noise.
Show baseline: Toggle the horizontal line at 100.
Interpretation
Index > 100 and rising → your basket is up since the base date.
Index < 100 and falling → down since the base date.
Use shorter timeframes for intraday sentiment, higher timeframes for swing/trend context.
Default basket & weights (editable)
Order: BTC, ETH, SOL, POL, OKB, BNB, SUI, LINK, 1INCH, TRX.
Default custom weight factors: 30, 30, 20, 10, 10, 5, 5, 5, 5, 5 (auto-normalized).
Base date: 2025-06-01.
Short Sellingell signal when RSI < 40, MACD crosses zero or signal line downward in negative zone, close below 50 EMA, candle bearish.
Strong sell signal confirmed on 5-minute higher timeframe with same conditions.
Square off half/full signals as defined.
Target lines drawn bold based on previous swing lows and extended as described.
Blue candle color when RSI below 30.
One sell and one full square off per cycle, blocking repeated sells until full square off.
Set & Forget – AlexG Club – ChecklistThe Set & Forget – AlexG Club – Checklist is built to help traders apply the well-known Set and Forget strategy from the famous AlexG (falexg) and the G-Club community.
This indicator displays a clear, on-chart checklist table of trading confluences. Each confluence adds to a total score, making it easier to objectively evaluate whether a trade setup aligns with the AlexG / G-Club strategy.
✅ Features:
• Customizable confluence checklist (trend alignment, S/R levels, candlestick signals, momentum, etc.)
• Automatic scoring system to calculate the Set & Forget readiness of a trade
• Clean table visualization on your chart
• Flexible thresholds — you decide how many confluences equal a strong setup
🚀 How to Use:
Add the indicator to your chart.
Adjust the confluences to reflect your own AlexG / G-Club inspired checklist.
Use the total score to validate trades before you pull the trigger.
⚠️ Disclaimer: This indicator is for educational purposes only. It is not financial advice and does not guarantee profitability. Always manage your risk and test before using live.
VIX Stoch RSI Oscillator [HUD Box + Compression]vix stoch rsi Oscillator
watch volatility without switching charts,
gives signal based off fib levels 0-100 / volatility,
emoji box to show signal,
HUD Box: emoji-coded tactical feedback
bounce 100 "💥 Expansion" :
bounce 0.8 "🔴 Overbought" :
bounce 0.618 "📉 Distribution" :
bounce 0.5 "🧠 Midline" :
bounce 0.382 "📈 Accumulation" :
bounce 0.2 "🟢 Oversold" :
bounce0.0 "💣 Expansion" : "⚪ Neutral"
Tiger EMA/STOCH
This logic checks if the oscillator is trending above or below its 48-period EMA,
If above, it paints the line GREEN🟢 (bullish),
If below, it paints it RED🔴 (bearish),
If compression is active, it overrides both with purple🟣 to highlight tactical squeeze conditions,
⚠️WARNING⚠️
ALWAYS REMEMBER THIS CHART IS VIX/USD
IN MOST CASES SPY MOVES VICE VERSA
I AM NOT RESPOSIBLE FOR YOUR OWN ACTIONS/TRADE IDEAS
AMEX:USD
TVC:VIX
SP:SPX
ZigZag++ + 4 EMA89 Trend Candles + BUY/SELL LabelsThis script combines ZigZag patterns, EMA89 trend detection, and custom buy/sell scalp signals. It helps identify trend direction and potential entry points in trending markets.
Features:
- ZigZag structure points
- EMA89 as dynamic trend filter
- Buy/Sell scalp markers
- HL/HH swing labels
- Works best on 15m–4h timeframes
RSI HIGHs and LOWs MarkerThis indicator marks significant RSI (14) pivot points directly on the price chart.
Red markers above candles highlight confirmed RSI highs where the RSI value exceeded 75 (overbought zone).
Green markers below candles highlight confirmed RSI lows where the RSI value dropped below 25 (oversold zone).
These signals help traders quickly identify potential reversal zones and overextended market conditions without having to monitor the RSI window separately.
Weinstein Stage Analyzer — Table Only (more padding)What it does
This indicator applies Stan Weinstein’s Stage Analysis (Stages 1–4) and presents the result in a clean, compact table only—no lines, labels, or overlays. It shows:
• Previous Stage
• Current Stage (with Early / Mature / Late tag)
• Duration (how long price has been in the current stage, in HTF bars)
• Sentiment (Bullish / Bearish / Balanced / Cautious, derived from stage & maturity)
Timeframe-aware logic
• Weekly charts: classic 30-period MA (Weinstein’s original 30-week concept).
• Daily & Intraday: computed on Daily 150 as a practical daily translation of the 30-week idea.
• Monthly: ~7-period MA (~30 weeks ≈ 7 months).
The stage classification itself is evaluated on this HTF context and then displayed on your active chart.
EMA/SMA toggle
Choose EMA (default) or SMA for the trend line used in stage detection.
How stages are decided (practical rules)
• Stage 2 (Advance): MA rising with price above an upper band.
• Stage 4 (Decline): MA falling with price below a lower band.
• Flat MA zones become Stage 1 (Base) or Stage 3 (Top) depending on the prior trend.
“Maturity” tags (Early/Mature/Late) come from run length and extension beyond the band.
Inputs you can tweak
• MA Type: EMA / SMA
• Price Band (±%) and Slope Threshold to tighten/loosen stage flips
• Maturity thresholds: min/max bars & late-extension %
Notes
• Duration is for the entire current stage (e.g., total time in Stage 4), not just the maturity slice.
• A Top Padding Rows input is included to nudge the table lower if it overlaps your OHLC readout.
Disclaimer
For educational use only. Not financial advice. Always confirm with your own analysis, risk management, and market context.
Chanpreet Moving AveragesChanpreet Moving Averages
by Chanpreet Singh
This script plots up to four customizable moving averages (SMA, EMA, SMMA/RMA, WMA, VWMA).
You can adjust:
Moving average type
Source (close, open, hl2, etc.)
Length
Color
An optional input lets you select a higher or custom timeframe for the moving averages (e.g., daily MA on a 1-hour chart). If left empty, the script calculates them on the current chart timeframe, so the lines scale and move naturally when zooming or panning.
This tool is designed for educational and visualization purposes, helping traders see trend direction and potential areas of dynamic support/resistance.
⚠️ Disclaimer: This script does not provide financial advice or trading signals. Use it at your own risk. Always do your own research before making trading decisions.
7:00-9:30 ET High/LowThis indicator is designed to identify and plot the highest and lowest price levels within the 7:00 AM to 9:30 AM Eastern Time (ET) trading window. These levels are then extended throughout the trading day, providing clear visual references for potential support and resistance derived from the early morning price action.
Core Functionality
The script defines a specific trading session (7:00-9:30 ET) and tracks the highest high and lowest low price reached during that time. Once the session is over, these high and low lines remain on the chart for the rest of the day, acting as key levels for traders to watch. At the start of each new trading day, the indicator resets, clearing the previous day's lines and drawing new ones based on the current day's morning session.
Features and Customization
This indicator is fully customizable through the settings menu, allowing you to tailor the appearance to perfectly suit your chart layout.
Session High Line:
Customize the color, width, and line style (Solid, Dashed, Dotted).
Session High Label:
Set your own custom label text (e.g., "Morning High").
Customize the label's background color.
Customize the label's text color.
Adjust the text size.
Session Low Line:
Customize the color, width, and line style (Solid, Dashed, Dotted).
Session Low Label:
Set your own custom label text (e.g., "Morning Low").
Customize the label's background color.
Customize the label's text color.
Adjust the text size.
6EMA/SMA/RMA + Smart Money Channels + ICT ConceptsSection 1: 6EMA/SMA/RMA + Forecasting
All 6 moving averages with their original parameters (lengths: 20, 100, 250, 75, 200, 300)
Moving average type selection (SMA, EMA, RMA)
Forecast functionality with Repetition and Linear Regression options
Source selection for each moving average
Forecast plotting with circles
Section 2: Smart Money Breakout Channels
Channel detection with normalization and box detection lengths
Volume analysis with different display modes (Volume, Comparison, Delta)
Nested channels option
Strong closes only feature
Bullish/bearish breakout signals
Volume visualization within channels
Section 3: ICT Concepts
Market Structure Shifts (MSS) and Break of Structure (BOS)
Order Blocks with swing lookback
Liquidity zones (buyside/sellside)
Fair Value Gaps (FVG) and Implied Fair Value Gaps (IFVG)
Volume Imbalances
NWOG/NDOG (New Week/Day Opening Gaps)
Displacement detection
Killzones (New York, London Open/Close, Asian sessions)
Fibonacci levels between various elements
BTCUSD Dual Thrust (1H)BTCUSD Dual Thrust (1H) — Indicator
Overview
The Dual Thrust is a classic breakout-type strategy designed to capture strong directional moves when markets show imbalance between buyers and sellers. This indicator adapts the method specifically for BTCUSD on the 1-Hour timeframe, showing dynamic Buy/Sell trigger levels and live signals.
Origin
The Dual Thrust system was originally introduced by Michael Vitucci and has been widely used in futures and high-volatility markets. It was designed as a day-trading breakout framework, where daily high/low and close data define the range for the next session’s trade triggers.
How it Works
Each new day, the indicator calculates a “breakout range” using daily price data.
Two trigger levels are projected from the daily open:
Buy Trigger: Open + Range × KUp
Sell Trigger: Open - Range × KDn
Range can be built from either:
Classic Dual Thrust formula: max(High - Close , Close - Low) over a lookback period, or
ATR-based range: for volatility-adaptive signals.
A LONG signal fires when price crosses above the Buy Trigger.
An EXIT signal fires when price crosses below the Sell Trigger.
Buy/Sell lines step forward across each intraday bar until recalculated at the next daily open.
Practical Use
Optimized for BTCUSD 1-Hour charts (crypto’s volatility provides stronger follow-through).
Use the Buy/Sell levels as dynamic breakout lines or as confluence with your own setups.
Alerts are built in, so you can receive notifications when a LONG or EXIT condition triggers.
Designed as an indicator only (not a backtest strategy).
Key Features
✅ Daily Buy/Sell trigger lines auto-calculated and forward-filled
✅ LONG / EXIT labels on signals
✅ Optional ATR mode for volatility regimes
✅ Optional bar coloring for easy visual scanning
✅ Alerts ready for live monitoring
⚡️ Tip: While this indicator highlights breakout opportunities, effectiveness can improve when combined with trend filters (e.g., 200-SMA) or when aligned with higher timeframe supply/demand zones.
Multi-Timeframe Candle Color Dashboard (ฺBy WutTrader)// This description should be added to the script's information section on TradingView.
//
// === คู่มือการใช้งาน: Multi-Timeframe Candle Color Dashboard ===
//
// **ภาพรวม:**
// อินดิเคเตอร์นี้แสดงสีของแท่งเทียนจากหลายไทม์เฟรม (M1, M5, M15, M30, H1, H4, D1) บนหน้าจอเดียว
// เพื่อช่วยให้คุณเห็นภาพรวมของแนวโน้มในแต่ละช่วงเวลาได้อย่างรวดเร็ว
//
// - **🟢 สีเขียว:** แสดงว่าแท่งเทียนเป็นขาขึ้น (Bullish) ตามจำนวนแท่งที่กำหนด
// - **🔴 สีแดง:** แสดงว่าแท่งเทียนเป็นขาลง (Bearish) ตามจำนวนแท่งที่กำหนด
// - **⚪ สีเทา:** แสดงว่ายังไม่มีทิศทางที่ชัดเจน
//
// **วิธีการใช้งาน:**
// 1. **การดูสัญญาณ:** ใช้ Dashboard เพื่อยืนยันว่าหลายไทม์เฟรมมีแนวโน้มไปในทิศทางเดียวกัน
// - **ตัวอย่าง:** หากคุณกำลังดูชาร์ต M5 แล้วพบว่า M15, M30 และ H1 เป็นสีเขียวทั้งหมด
// แสดงว่ามีแนวโน้มขาขึ้นที่แข็งแกร่งในภาพรวม ซึ่งอาจเป็นจังหวะที่ดีสำหรับการเข้าซื้อ
// 2. **การตั้งค่า:** คุณสามารถปรับแต่งการแสดงผลได้ในเมนู "Settings"
// - **Global Settings:** เลือกเปิด/ปิดการแสดงผลของแต่ละไทม์เฟรมที่คุณต้องการ
// - **Dashboard Style:** เลือกว่าจะให้ Dashboard แสดงผลเป็นแนวตั้ง (Vertical) หรือแนวนอน (Horizontal)
// - **Color Settings:** ปรับสีสำหรับแนวโน้มขาขึ้น (Bullish) และขาลง (Bearish) ได้ตามใจชอบ
//
// **การตั้งค่าการแจ้งเตือน (Alert):**
// อินดิเคเตอร์นี้รองรับการแจ้งเตือนเมื่อทุกไทม์เฟรมที่คุณเปิดใช้งานเป็นสีเขียวทั้งหมด
// 1. ไปที่เมนู "Alert" (รูปกระดิ่ง) ที่ด้านบนของ TradingView
// 2. ตั้งค่า "Condition" เป็นชื่ออินดิเคเตอร์นี้: `Multi-Timeframe Candle Color Dashboard`
// 3. ตั้งค่า "Condition" เป็น `Bullish Alert`
// 4. ตั้งค่า "Frequency" เป็น `Once Per Bar Close`
//
// === User Manual: Multi-Timeframe Candle Color Dashboard ===
//
// **Overview:**
// This indicator displays the candle color from multiple timeframes (M1, M5, M15, M30, H1, H4, D1) on a single screen,
// helping you to quickly see the trend direction across different time periods.
//
// - **🟢 Green:** Indicates that candles are bullish for the specified number of lookback bars.
// - **🔴 Red:** Indicates that candles are bearish for the specified number of lookback bars.
// - **⚪ Gray:** Indicates a neutral or undefined trend.
//
// **How to Use:**
// 1. **Signal Confirmation:** Use the dashboard to confirm that multiple timeframes are moving in the same direction.
// - **Example:** If you are on an M5 chart and see that the M15, M30, and H1 timeframes are all green,
// it suggests a strong overall bullish momentum, which could be a good entry signal.
// 2. **Settings:** You can customize the display in the "Settings" menu.
// - **Global Settings:** Select which timeframes you want to show or hide.
// - **Dashboard Style:** Choose between a vertical or horizontal layout for the dashboard.
// - **Color Settings:** Adjust the colors for bullish and bearish trends to your preference.
//
// **Setting up an Alert:**
// This indicator supports an alert when all enabled timeframes turn completely green.
// 1. Go to the "Alert" menu (bell icon) at the top of TradingView.
// 2. Set the "Condition" to the name of this indicator: `Multi-Timeframe Candle Color Dashboard`.
// 3. Set the "Condition" to `Bullish Alert`.
// 4. Set the "Frequency" to `Once Per Bar Close`.
Fibo RSIThis is a customized Relative Strength Index (RSI) indicator designed to replicate TradingView’s default RSI while adding additional reference levels for deeper market analysis.
🔹 Features:
RSI length set to 8 by default (user adjustable).
Calculates RSI using the standard ta.rsi() function.
Plots the RSI line in a clean, separate panel.
Adds 7 key levels for analysis: 0, 20, 30, 50, 70, 80, 100.
Levels are drawn as thin, solid straight lines for a cleaner look (instead of default dashed).
🔹 Use cases:
Identify momentum shifts with enhanced precision.
Use intermediate levels (20, 30, 50, 70, 80) as potential support/resistance zones.
Ideal for traders who want a Fibonacci-like structure in RSI analysis.
Auto Fibonacci - First Hour Lockedthis gives the accurate fibonnacci based on the day's first hour high/low values, and the extension values as well.
Swings as Music - Full octaveEvery level corresponds as every note. plot it from high to low and your chart will show you the levels related to the notes vibrations.
PSDIGreen Zone → Potential Buy Area
Price is near support.
Red Zone → Potential Sell Area
Price is near resistance.
EMA Lines
Blue (EMA50) above Orange (EMA200): Trend up → favors buys.
Blue below Orange: Trend down → favors sells.
How to Use
Look at zones and trend.
Price near green + trend up → consider long.
Price near red + trend down → consider short.
NOTE: When in uptrend, only follow green zones. When in down trend only follow red zones.
MTF QFG (Quarter Fib Grid)The MTF QFG (Quarter Fib Grid) calculates quarter Fibonacci levels based on the previous daily, weekly, or monthly high/low. These levels act as potential support and resistance zones. Suitable for scalping, swing trading, or identifying key price reactions.
DH EMA 21/55/200 Ribbon (Scaled HTF)ema 21 / 55 /200 cập nhật thêm multiTF, chỉnh sửa màu sắc dải mây
WTI Futures Premarket Breakout Strategy Premarket Breakout Strategy (Adjust prices on source code at 9:00 AM EST and 9:30 AM EST)