EPS YoY% Labels (MarketSurge / IBD style)This script automatically calculates and displays year-over-year quarterly EPS growth (%) directly on the chart, in the same style used by MarketSurge / IBD.
🔹 Key Features
Detects each quarterly earnings report and shows EPS YoY growth as a label above the bar.
Works with both reported EPS and standardized EPS (selectable in settings).
Positive growth is highlighted in green, while negative growth is highlighted in red.
Optional setting to hide negative results for a cleaner, bullish-focused view.
Adjustable decimal precision (0–2 decimals) for percentage display.
🔹 Why it’s useful
EPS growth is one of the core fundamentals that top traders like Mark Minervini and William O’Neil (IBD) focus on when screening for market leaders.
Now you can see at a glance how a stock’s earnings power is accelerating or decelerating — without flipping between platforms.
Combine with Relative Strength (RS) analysis and price/volume patterns for a complete growth-stock trading workflow.
🔹 Example
If a company reports EPS of $1.20 this quarter vs. $0.80 in the same quarter last year, the label will display:
EPS +50% (green).
指標和策略
SMC - Complete AnalysisMC COMPLETE TRADING SYSTEM
📊 OVERVIEW
Professional Smart Money Concepts indicator with automated BUY/SELL signals, Entry/SL/TP prices, and 4-level market analysis for disciplined trading.
🎯 MAIN FEATURES
🟢 BUY/🔴 SELL Signals - Clear entry signals with exact prices
📍 ENTRY/SL/TP - Automated price calculations
🎪 Discipline Mode - High-probability setups only
⚡ Confluence Scoring - 6-factor signal validation
🏗️ 4 ANALYSIS LEVELS
Level 1: Market Structure
BOS/CHoCH/MSS detection
Displacement & Range analysis
Internal structure mapping
Level 2: Time-Based
Kill Zones (Asian/London/NY)
Session tracking
Daily/Weekly levels
Level 3: Entry & Risk
Smart entry triggers
Auto risk calculator
Target projections
Level 4: Advanced Analytics
Auto Fibonacci levels
Trend line detection
Smart money flow analysis
Strength meter
⚙️ SETTINGS
Default (Relaxed for more signals):
Minimum Confluence: 3/6
Kill Zone Required: OFF
Strength Bias Required: OFF
Risk per Trade: 2%
Risk:Reward: 3:1
📈 RECOMMENDED PAIRS
EURUSD (Beginners)
GBPUSD (Experienced)
XAUUSD (Best SMC signals)
EURJPY (Good structure)
⏰ BEST TIMEFRAMES
H1 - Recommended balance
H4 - High quality signals
M30 - More frequent signals
🎯 TRADING RULES
Trade ONLY on BUY/SELL signals
Use exact ENTRY/SL/TP prices
Set orders immediately
Wait for SL HIT or TP HIT
No modifications allowed
🔒 DISCIPLINE MODE
Shows signals only when confluence ≥3/6
All other features hidden by default
Simple status table
Forces disciplined trading
💡 USAGE
Wait for BUY or SELL signal
Note ENTRY/SL/TP prices
Execute trade exactly as shown
Hold until exit signal
Repeat
⚠️ IMPORTANT
No signal = No trading
2% risk maximum per trade
London/NY sessions preferred
Patience is key to success
🚀 Professional SMC system for consistent profitability through disciplined trading!
High Volume Highlight - Pto compare volume indicator from prev bars. How to use it, short it when the red bar shows and long it when the green bar shows
Weekly and Daily EMA levelsThis Pine Script indicator provides important weekly and daily levels for lower time frame traders, whom trades based on reaction of these levels.
Dedicated to Prof Michael G
Key Features:
Multi-timeframe EMAs: Shows 12, 21, 50, 100, and 200 period EMAs from both Weekly and Daily timeframes
Horizontal dotted lines: Uses plot.style_linebr to create the dotted/dashed line effect
Works on all timeframes: The lines will appear on any chart timeframe you're viewing
Customizable: Individual toggles for each EMA period and timeframe
Settings Available:
Toggle Weekly/Daily EMAs on/off
Enable/disable individual EMA periods (12, 21, 50, 100, 200)
Customize colors for each EMA line
Adjust line width
Optional labels showing current EMA values
How to Use:
Copy the code into TradingView's Pine Editor
Click "Add to Chart"
Adjust settings in the indicator's Style tab as needed
The weekly EMAs appear with slightly more opacity (30%) while daily EMAs have higher transparency (60%) to help distinguish between timeframes. The lines will automatically update as new bars form and will be visible regardless of what timeframe you're currently viewing on your chart.
Body & Volume-Based Buy/Sell Signals (5min 1.5M Vol)Only for 5 min and Volume 1.5M
Conditions (Summarized)
🔹 BUY Signal
Previous candle is red: close < open
Current candle is green: close > open
Previous candle body is smaller than current:
abs(close - open ) < abs(close - open)
Previous candle body size ≥ 10 points
Both candles' volume ≥ minVolume (default: 2,000,000)
➜ Plot BUY below green candle
🔸 SELL Signal
Previous candle is green: close > open
Current candle is red: close < open
Previous candle body is smaller than current:
abs(close - open ) < abs(close - open)
Previous candle body size ≥ 10 points
Both candles' volume ≥ minVolume
➜ Plot SELL above red candle
Strong Bullish And Bearish Engulfing PatternCONDITIONS:
🔹 1st Condition — Bullish Engulfing ➜ BUY
Previous Candle (Red): close < open
Current Candle (Green): close > open
Opens below previous red candle’s close: open < close
Closes above previous red candle’s open: close > open
➡️ Plot BUY below the green candle
🔸 2nd Condition — Bearish Engulfing ➜ SELL
Previous Candle (Green): close > open
Current Candle (Red): close < open
Opens above previous green candle’s close: open > close
Closes below previous green candle’s open: close < open
➡️ Plot SELL above the red candle
What this Script Does:
Detects Bullish Engulfing patterns ➜ plots BUY below the green candle.
Detects Bearish Engulfing patterns ➜ plots SELL above the red candle.
LRLR & HRLR Zones + VWAP How to Use This Indicator
This indicator combines LRLR/HRLR liquidity zones, VWAP trend, and the 52-bar high/low/average lines to help identify potential trading zones and trend directions.
1️⃣ LRLR / HRLR Zones
LRLR (green zones): Areas of strong upward liquidity
Above VWAP: Strong bullish zone (light green)
Below VWAP: Weak bullish zone (dark green)
HRLR (red zones): Areas of strong downward liquidity
Below VWAP: Strong bearish zone (light red)
Above VWAP: Weak bearish zone (dark red)
Usage tip:
Green zone + price above VWAP → High-priority long zone
Red zone + price below VWAP → High-priority short zone
Zones crossing the VWAP may indicate potential trend reversals
2️⃣ VWAP (9:00 JST)
Price above VWAP → Bullish trend
Price below VWAP → Bearish trend
Combine with LRLR/HRLR zones to determine the trend direction and strength
3️⃣ 52-Bar High / Low / Average Lines
High (blue) / Low (blue): Act as dynamic resistance/support
Alerts trigger when price touches these levels → Possible reversal zones
Average (aqua): Midpoint reference for pullbacks or retracements
Alerts trigger when price touches the average → Watch for potential reactions
4️⃣ Signal Arrows
Green triangle up (LRLR): Start of a bullish zone
Red triangle down (HRLR): Start of a bearish zone
Arrows are zone initiation markers, not standalone entry signals
5️⃣ Practical Approach
Determine trend direction:
Price above VWAP → Focus on long trades
Price below VWAP → Focus on short trades
Identify potential entries using zones:
Enter trades in LRLR/HRLR zones aligned with the trend
Use 52-bar lines for risk management:
Price near high/low → Exercise caution (possible reversal)
Price near average → Look for pullback confirmations
Important Precautions
Do not use the indicator alone for entries; always confirm with trend direction and zone alignment
Alerts indicate potential levels but are not guaranteed signals
Always use proper risk management, e.g., stop-losses near key support/resistance
The indicator works best in combination with higher timeframe trend context
Market conditions may cause false zones or spikes; avoid over-reliance on a single signal
Average True Range %The ATR% oscillator measures market volatility as a percentage of the closing price, smooths it using a chosen method (RMA, SMA, EMA, or WMA), and compares it to the threshold levels of 0.95% and 1.20%.
Multi EMA (9, 20, 50, 100) Individual EMA Controls:
Show EMA 9 - Toggle checkbox to turn EMA 9 on/off
Show EMA 20 - Toggle checkbox to turn EMA 20 on/off
Show EMA 50 - Toggle checkbox to turn EMA 50 on/off
Show EMA 100 - Toggle checkbox to turn EMA 100 on/off
📋 Organized Settings:
EMA Display group - Contains all the on/off toggle switches
EMA Settings group - Contains period lengths and source settings
🔔 Smart Alerts:
Alerts only trigger when both EMAs involved in the crossover are enabled
Added EMA 50/100 crossover alerts
Jimb0ws Strategy Trending Info PanelsJimb0ws Strategy — Golden Candles + Bubble Zones
A price-action/EMA strategy built for FX scalping and intraday swings. It colors Golden Candles when strong bodies touch/skim EMA20/50 in trend (“bubble”) and optionally highlights Robin Candles (break of the prior golden body). Signals are throttled per bubble and filtered by multiple higher-timeframe conditions.
How it trades
Trend bubbles: Uses EMA20/50/100/200 alignment on the chart timeframe; also reads 1H & 4H bubbles for context.
Entries: BUY/SELL labels appear only when a golden setup aligns with fractal/structure checks and all active filters pass.
Stops/Targets (strategy mode):
• Longs: SL = EMA100 if EMA200 > EMA100, else SL = EMA200.
• Shorts: SL = EMA100 if EMA200 < EMA100, else SL = EMA200.
• TP = RR × risk (default 2R).
An on-chart SL/TP info label prints the exact prices at each signal.
Risk filter options: disable beyond 1H EMA50, proximity band around 1H EMA50, wick overdrive veto, session filter (toggle on/off), max signals per bubble.
Visuals & tools
Colored EMAs (20/50/100/200), bubble zone background.
4H info panel (state, start time, duration); Prev-Day ATR panel sits above it.
Optional 1H info panel and consolidation warning.
Fractal markers (size selectable).
Alerts
1H bubble state change (Long/Short/Consolidation).
BUY/SELL signals.
Inputs worth checking
Session & timezone, min body size, pip tolerances, proximity/WOD filters, max signals per bubble, RR, SL/TP label offset.
Notes
Best on FX pairs; pip = mintick × 10. Backtest and adjust to your instrument and session. This is not financial advice.
Launch PadLaunch Pad Setup. I've made it to see the convergence of short and long term key moving averages, to detect a keyy support level when the trend begins.
Kalman Filter (Smoothed)The Kalman Filter is a recursive statistical algorithm that smooths noisy price data while adapting dynamically to new information. Unlike simple moving averages or EMAs, it minimizes lag by balancing measurement noise (R) and process noise (Q), giving traders a clean, adaptive estimate of true price action.
🔹 Core Features
Real-time recursive estimation
Adjustable noise parameters (R = sensitivity to price, Q = smoothness vs. responsiveness)
Reduces market noise without heavy lag
Overlay on chart for direct comparison with raw price
🔹 Trading Applications
Smoother trend visualization compared to traditional MAs
Spotting true direction during volatile/sideways markets
Filtering out market “whipsaws” for cleaner signals
Building blocks for advanced quant/trading models
⚠️ Note: The Kalman Filter is a state-space model; it doesn’t predict future price, but smooths past and present data into a more reliable signal.
Calm before the StormCalm before the Storm - Bollinger Bands Volatility Indicator
What It Does
This indicator identifies and highlights periods of extremely low market volatility by analyzing Bollinger Bands distance. It uses percentile-based analysis to find the "quietest" market periods and highlights them with a gradient background, operating on the premise that low volatility periods often precede significant price movements.
How It Works
Volatility Measurement: Calculates the distance between Bollinger Bands upper and lower boundaries
Percentile Analysis: Analyzes the lowest X% of volatility periods over a configurable lookback period (default: lowest 40% over 200 bars)
Visual Highlighting: Uses gradient opacity to show volatility levels - the lower the volatility, the more opaque the background highlighting
Adaptive Threshold: Automatically calculates what constitutes "low volatility" based on recent market conditions
Who Should Use It
Primary Users:
Breakout Traders: Looking for consolidation periods that may precede significant moves
Options Traders: Seeking low implied volatility periods before volatility expansion
Swing Traders: Identifying accumulation/distribution phases before trend continuation or reversal
Range Traders: Spotting tight trading ranges for mean reversion strategies
Trading Styles:
Volatility-based strategies
Breakout and momentum trading
Options strategies (volatility plays)
Market timing approaches
When to Use It
Market Conditions:
Consolidation Phases: When price is moving sideways with decreasing volatility
Pre-Announcement Periods: Before earnings, economic data, or major events
Market Transitions: During shifts between trending and ranging markets
Low Volume Periods: When institutional participation is reduced
Strategic Applications:
Entry Timing: Wait for volatility compression before positioning for breakouts
Risk Management: Reduce position sizes during highlighted periods (anticipating volatility expansion)
Options Strategy: Sell premium during low volatility, buy during expansion
Multi-Timeframe Analysis: Combine with higher timeframe trends for confluence
Key Benefits
Objective Volatility Measurement: Removes subjectivity from identifying "quiet" markets
Adaptive Analysis: Automatically adjusts to current market conditions
Visual Clarity: Easy-to-interpret gradient highlighting
Customizable Sensitivity: Adjustable percentile thresholds for different trading styles
Best Used In Combination With:
Trend analysis tools
Support/resistance levels
Volume indicators
Momentum oscillators
This indicator is particularly valuable for traders who understand that periods of low volatility are often followed by periods of high volatility, allowing them to position ahead of potential significant price movements.
Forecasting Quadratic Regression [UPDATED V6] Forecasting Quadratic Regression applies a second-degree polynomial regression model to price data, offering a non-linear alternative to traditional linear regression. By fitting a quadratic curve of the form:
y=a+bx+cx2
the indicator captures both directional trend and curvature, allowing traders to detect momentum shifts earlier than with straight-line models.
🔹 Core Features
Fits a quadratic regression curve to user-defined lookback periods
Extends the fitted curve forward to generate forecast projections
Calculates slope curvature to highlight trend acceleration or deceleration
Adapts dynamically as new bars are added
🔹 Trading Applications
Identify potential reversal zones when the curve inflects (2nd derivative sign change)
Forecast near-term mean reversion targets or extended trend continuations
Filter trades by measuring momentum curvature rather than linear slope
Visualize higher-order structure in price beyond standard regression lines
⚠️ Note: This model is statistical and assumes past curvature informs short-term future price paths. It should be combined with confirmation signals (volume, oscillators, support/resistance) to reduce false inflection points.
PP_Solstice StrategyThis strategy was developed by Vinay with inputs from Warren, Dodgie and others to replicate TOS AGAIG indicators. It is available for free of use.
First Candle Ruleworks only starting at 10 am.!!!
First five minute candle that closes outside of 30m wick area (grey wick box) or show direction
Elliott Wave - Impulse + Corrective Detector (Demo) เทคนิคการใช้
สำหรับมือใหม่
ดูเฉพาะ Impulse Wave ก่อน
เทรดตาม direction ของ impulse
ใช้ Fibonacci เป็น support/resistance
สำหรับ Advanced
ใช้ Corrective Wave หาจุด reversal
รวม Triangle กับ breakout strategy
ใช้ Complex correction วางแผนระยะยาว
⚙️ การปรับแต่ง
ถ้าเจอ Pattern น้อยเกินไป
ลด Swing Length เป็น 3-4
เพิ่ม Max History เป็น 500
ถ้าเจอ Pattern เยอะเกินไป
เพิ่ม Swing Length เป็น 8-12
ปิด patterns ที่ไม่ต้องการ
สำหรับ Timeframe ต่างๆ
H1-H4: Swing Length = 5-8
Daily: Swing Length = 3-5
Weekly: Swing Length = 2-3
⚠️ ข้อควรระวัง
Elliott Wave เป็น subjective analysis
ใช้ร่วมกับ indicators อื่นๆ
Backtest ก่อนใช้เงินจริง
Pattern อาจเปลี่ยนได้ตลอดเวลา
🎓 สรุป
โค้ดนี้เป็นเครื่องมือช่วยวิเคราะห์ Elliott Wave ที่:
✅ ใช้งานง่าย
✅ ตรวจจับอัตโนมัติ
✅ มี confidence scoring
✅ แสดงผล Fibonacci levels
✅ ส่ง alerts เรียลไทม์
เหมาะสำหรับ: Trader ที่ต้องการใช้ Elliott Wave ในการวิเคราะห์เทคนิค แต่ไม่มีเวลานั่งหา pattern เอง
💡 Usage Tips
For Beginners
Focus on Impulse Waves first
Trade in the direction of impulse
Use Fibonacci as support/resistance levels
For Advanced Users
Use Corrective Waves to find reversal points
Combine Triangles with breakout strategies
Use Complex corrections for long-term planning
⚙️ Customization
If You See Too Few Patterns
Decrease Swing Length to 3-4
Increase Max History to 500
If You See Too Many Patterns
Increase Swing Length to 8-12
Turn off unwanted pattern types
For Different Timeframes
H1-H4: Swing Length = 5-8
Daily: Swing Length = 3-5
Weekly: Swing Length = 2-3
⚠️ Important Warnings
Elliott Wave is subjective analysis
Use with other technical indicators
Backtest before using real money
Patterns can change at any time
🔧 Troubleshooting
No Patterns Showing
Check if you have enough price history
Adjust Swing Length settings
Make sure pattern detection is enabled
Too Many False Signals
Increase confidence threshold requirements
Use higher timeframes
Combine with trend analysis
Performance Issues
Reduce Max History setting
Turn off unnecessary visual elements
Use on liquid markets only
📈 Trading Applications
Entry Strategies
Wave 3 Entry: After Wave 2 completion (61.8%-78.6% retracement)
Wave 5 Target: Equal to Wave 1 or Fibonacci extensions
Corrective Bounce: Trade reversals at C wave completion
Risk Management
Stop Loss: Beyond pattern invalidation levels
Take Profit: Fibonacci extension targets
Position Sizing: Based on pattern confidence
🎓 Summary
This code is an Elliott Wave analysis tool that offers:
✅ Easy to use interface
✅ Automatic pattern detection
✅ Confidence scoring system
✅ Fibonacci level display
✅ Real-time alerts
Perfect for: Traders who want to use Elliott Wave analysis but don't have time to manually identify patterns.
📚 Quick Reference
Pattern Hierarchy (Most to Least Reliable)
Impulse Waves (90% confidence)
Expanded Flats (85% confidence)
Zigzags (80% confidence)
Triangles (75% confidence)
Complex Corrections (70% confidence)
Best Practices
Start with higher timeframes for main trend
Use lower timeframes for precise entries
Always confirm with volume and momentum
Don't trade against strong fundamental news
Keep a trading journal to track performance
Remember: Elliott Wave is an art as much as a science. This tool helps identify potential patterns, but always use your judgment and additional analysis before making trading decisions.
QFisher-R™ [ParadoxAlgo]QFISHER-R™ (Regime-Aware Fisher Transform)
A research/education tool that helps visualize potential momentum exhaustion and probable inflection zones using a quantitative, non-repainting Fisher framework with regime filters and multi-timeframe (MTF) confirmation.
What it does
Converts normalized price movement into a stabilized Fisher domain to highlight potential turning points.
Uses adaptive smoothing, robust (MAD/quantile) thresholds, and optional MTF alignment to contextualize extremes.
Provides a Reversal Probability Score (0–100) to summarize signal confluence (extreme, slope, cross, divergence, regime, and MTF checks).
Key features
Non-repainting logic (bar-close confirmation; security() with no lookahead).
Dynamic exhaustion bands (data-driven thresholds vs fixed ±2).
Adaptive smoothing (efficiency-ratio based).
Optional divergence tags on structurally valid pivots.
MTF confirmation (same logic computed on a higher timeframe).
Compact visuals with subtle plotting to reduce chart clutter.
Inputs (high level)
Source (e.g., HLC3 / Close / HA).
Core lookback, fast/slow range blend, and ER length.
Band sensitivity (robust thresholding).
MTF timeframe(s) and agreement requirement.
Toggle divergence & intrabar previews (default off).
Signals & Alerts
Turn Candidate (Up/Down) when multiple conditions align.
Trade-Grade Turn when score ≥ threshold and MTF agrees.
Divergence Confirmed when structural criteria are met.
Alerts are generated on confirmed bar close by default. Optional “preview” mode is available for experimentation.
How to use
Start on your preferred timeframe; optionally enable an HTF (e.g., 4×) for confirmation.
Look for RPS clusters near the exhaustion bands, slope inflections, and (optionally) divergences.
Combine with your own risk management, liquidity, and trend context.
Paper test first and calibrate thresholds to your instrument and timeframe.
Notes & limitations
This is not a buy/sell signal generator and does not predict future returns.
Readings can remain extreme during strong trends; use HTF context and your own filters.
Parameters are intentionally conservative by default; adjust carefully.
Compliance / Disclaimer
Educational & research tool only. Not financial advice. No recommendation to buy/sell any security or derivative.
Past performance, backtests, or examples (if any) are not indicative of future results.
Trading involves risk; you are responsible for your own decisions and risk management.
Built upon the Fisher Transform concept (Ehlers); all modifications, smoothing, regime logic, scoring, and visualization are original work by Paradox Algo.
Multi Volume Weighted Average Price1. Three independent VWAP configurations (VWAP 1, 2, and 3). Each can be set up separately
for periods such as: session, daily, weekly, monthly, etc.
2. Previous VWAP closing prices: Closed VWAPs from previous periods remain visible until the
price touches them. At that point, they are removed.
3. Bands: Based on standard deviation or a percentage of VWAP with an adjustable multiplier.
The bands can be turned on or off.
4. Source: OHLC4 is the default setting for an accurate approximation, but it is customizable
(e.g. HLC3).
5. Global Setting: Select 10,000 or 20,000 historical bars to prevent runtime errors for long
periods.
Usage tips:
1. Use VWAP 1 for daily sessions, VWAP 2 for weekly, and VWAP 3 for Monthly analysis to receive
multi-timeframe support.
2. Customize the labels to clearly distinguish them (e.g. D VWAP, W VWAP, M VWAP).
3. If you encounter errors with historical data (e.g. on the M1 chart), minimize the number of
historical bars displayed to 10,000.