3SPC Three Candle Price Action Setup3SPC (Three Candle Price Action Setup) is an open-source indicator designed to detect
a simple and clearly defined three-candle price action pattern.
The logic is based on the following structure:
• The first two candles move in the same direction (bullish or bearish).
• The third candle interacts with the real bodies of both previous candles,
which may indicate a short-term liquidity sweep or price reaction.
• A bullish setup is confirmed when price holds above the open of the first candle.
• A bearish setup is confirmed when price holds below the open of the first candle.
This script does not use oscillators or lagging indicators.
It is intended as a visual aid for discretionary traders and should be used
together with market context, risk management and higher timeframe analysis.
The script is published as open-source for educational and transparency purposes.
UI Labels Translation:
- نمایش ستاپ صعودی: Show bullish setups
- نمایش ستاپ نزولی: Show bearish setups
Chỉ báo và chiến lược
Session Highlighter with Kill Zones [Exponential-X]Session Highlighter with Kill Zones
Overview
This indicator provides comprehensive visualization of major forex trading sessions (Asian, London, and New York) with integrated kill zone detection and real-time session analytics. It helps traders identify optimal trading times by highlighting high-volatility periods and tracking session-specific price ranges.
What Makes This Original
While session indicators are common, this script uniquely combines several features that work together:
Kill Zone Integration: Highlights specific high-volatility windows within sessions (London: 02:00-05:00 EST, NY: 08:30-11:00 EST) when institutional activity typically peaks
Session Overlap Detection: Automatically detects and highlights when major sessions overlap (London-NY, Asian-London) with distinct visual cues
Real-Time Range Tracking: Calculates and displays percentage-based session ranges as they develop, not just historical data
Dynamic Statistics Dashboard: Live table showing current active session, session times, and comparative range percentages
Customizable Visual System: Flexible styling options including background shading, box overlays, and configurable line styles for session boundaries
How It Works
Session Detection Logic
The script uses timezone-normalized session detection based on EST/EDT times. It converts the current bar's timestamp to New York time and determines which session(s) are active using minute-based calculations. This approach ensures accurate session detection regardless of your chart's timezone settings.
Kill Zones
Kill zones represent periods within sessions when institutional traders are most active. The London kill zone (02:00-05:00 EST) captures pre-London open volatility, while the NY kill zone (08:30-11:00 EST) aligns with US economic data releases and market open activity.
Range Calculations
Session highs, lows, and opens are tracked from the first bar of each session and updated in real-time. Range percentages are calculated as: ((High - Low) / Low) × 100 , providing a volatility measure that's comparable across different instruments and price levels.
Visual System
Background shading: Color-coded zones for each session
Session boxes: Outline entire session ranges
H/L lines: Dynamic lines showing current session extremes
Open lines: Reference levels from session start
Overlap highlighting: Distinct colors when multiple sessions are active simultaneously
How to Use
Intraday Trading: Use kill zones to time entries during high-liquidity periods
Session Breakouts: Monitor for price breaks above/below session highs/lows
Range Trading: Trade between session boundaries during consolidation
Session Continuity: Observe how price behaves as sessions transition
Volatility Assessment: Compare current session ranges to typical values
Recommended Timeframes: Works on any timeframe, but most useful on 1m to 1H charts for intraday trading.
Settings Explained
Sessions Group
Toggle each major session on/off independently
Customize colors for visual clarity
Enable/disable overlap highlighting
Levels Group
Show/hide session high/low lines
Show/hide session open levels
Choose line styles (Solid/Dashed/Dotted)
Kill Zones Group
Toggle kill zone highlighting
Select which kill zones to display
Customize kill zone color intensity
Display Group
Show/hide statistics table
Show/hide session labels on chart
Important Notes
All times are displayed in EST/EDT
Session ranges reset at the start of each new session
Kill zones are session sub-periods, not separate sessions
Overlap colors override individual session colors when multiple sessions are active
The statistics table updates in real-time and shows percentage-based ranges for cross-instrument comparison
Session Times Reference
Asian Session: 19:00 - 04:00 EST (Tokyo open through early Sydney close)
London Session: 03:00 - 12:00 EST (Full European trading hours)
New York Session: 08:00 - 17:00 EST (US market hours)
London Kill Zone: 02:00 - 05:00 EST (Pre-London volatility spike)
NY Kill Zone: 08:30 - 11:00 EST (US open and news releases)
Alerts Available
The script includes six pre-configured alert conditions:
London Kill Zone start
NY Kill Zone start
London-NY Overlap start
Asian Session open
London Session open
NY Session open
Create alerts through TradingView's alert system to get notified when specific sessions or kill zones begin.
Disclaimer: This indicator is for informational purposes only. Session times and kill zones are based on typical market patterns but do not guarantee specific trading outcomes. Always use proper risk management.
Prev TF CLOSE EMA Box (Resets Every TF)⚙️ Key Features
✅ Custom reset timeframe (independent of chart TF)
✅ Uses previous CLOSED EMA (no lookahead)
✅ Box instead of line (clearer structure)
✅ Optional “disrespected → gray” logic
✅ Wick-based or close-based validation
✅ Works on futures, crypto, forex, equities
📈 How to Use
Treat the box as a dynamic support / resistance zone
Best used for:
Trend continuation
Mean reversion
Bias filtering (above = bullish, below = bearish)
When the box turns gray, the EMA level has lost structural validity
❗ Important Notes
This is not a signal indicator
No entries or exits are generated
Designed for context, bias, and structure
Combine with price action, liquidity, or session logic
🧩 Inputs Explained
Reset / EMA TF → timeframe used for EMA calculation & box reset
EMA Length → standard EMA length (default 9)
Box Height → thickness of the EMA zone
Disrespect Logic → optional invalidation behavior
Low Volume Pullback DetectorThis script incorporates the logic of Volume Price Analysis (VPA), identifying potential trend continuations by detecting pullbacks with decreasing volume.
###**Features:**1. **Trend Filtering:** Uses a 50-period EMA to ensure trades align with the dominant market direction.
2. **Structure Identification:** Detects recent highs and lows to confirm that price action is indeed a pullback within a trend.
3. **Volume Analysis:** Checks if the volume during the pullback is below the 20-period average, signaling a lack of conviction from counter-trend traders.
4. **Signal Generation:** Triggers a "Buy" or "Sell" signal when price breaks out of the pullback range, confirming momentum is returning in the direction of the trend.
5. **User Guide:** Detailed comments explaining the strategy, setup, trade execution, and best markets are included directly within the script for easy reference.
###**How to Use:*** **Setup:** Apply the script to a chart (works best on Stocks and Futures).
* **Identify Trend:** Ensure price is above (for Buy) or below (for Sell) the gray 50 EMA line.
* **Wait for Signal:** Look for the **"VOL DRY"** label. This appears when a low-volume pullback is followed by a breakout candle.
* **Execution:** Enter on the close of the signal candle. Set your Stop Loss below/above the pullback swing and target the previous structural high/low.
Volume Delta Divergence Candle ColorThis indicator identifies divergences between price action and volume delta, highlighting potential reversal or continuation signals by coloring candles when buyer/seller pressure conflicts with the candle's direction.
**How It Works:**
The indicator analyzes real-time up/down volume data to detect two types of divergences:
🟣 **Seller Divergence (Fuscia)** - Occurs when a candle closes bullish (green) but the volume delta is negative, indicating more selling pressure despite the upward price movement. This suggests weak buying or potential distribution.
🔵 **Buyer Divergence (Cyan)** - Occurs when a candle closes bearish (red) but the volume delta is positive, indicating more buying pressure despite the downward price movement. This suggests weak selling or potential accumulation.
**Features:**
✓ Colors only divergent candles - non-divergent candles maintain your chart's default colors
✓ Uses actual exchange volume delta data (works best with CME futures and other instruments with tick-level data)
✓ Optional triangle markers above/below divergent candles for quick visual identification
✓ Clean, minimal design that doesn't clutter your chart
**Best Used For:**
- Identifying potential reversals or continuations
- Spotting weak price movements that may not follow through
- Confirming price action with underlying volume pressure
- Works on any timeframe with available volume delta data
**Note:** This indicator requires volume data from exchanges that provide tick-level information (CME futures, cryptocurrency exchanges, etc.). Results may vary on instruments with limited volume data.
Weekend Asia High/Low Dots + Trading Window (UTC+1)**Weekend Asia High/Low Dots & Trading Window** is a lightweight TradingView indicator designed to **mark the exact Asia session extremes on weekends (Saturday & Sunday)** and highlight predefined **trading time windows** with maximum clarity and minimal chart clutter.
The indicator focuses on **precision, simplicity, and manual trading workflows**.
---
### 🔍 Key Features
#### 🟢 Asia Session High & Low (Weekend Only)
* Tracks the **Asia session on Saturday and Sunday**
* Marks **exactly two points per session**:
* One dot at the **true wick high**
* One dot at the **true wick low**
* Dots are plotted **only once**, at the **end of the Asia session**
* **No lines, no boxes, no extensions** – just clean reference points
* Ideal for traders who prefer to **draw their own ranges manually**
#### 🟩 Trading Window Highlight
* Customizable **trading time windows** for Saturday and Sunday
* Displayed as a **clean outline box** (no background fill)
* Helps visually separate **range formation** from **active trading hours**
---
### ⏰ Time Handling
* All session times are defined in **UTC+1**
* Uses a **fixed UTC+1 timezone** (`Etc/GMT-1`) for consistent behavior
* Easily adjustable to other timezones if needed
---
### ⚙️ Customizable Inputs
* Asia session times (Saturday & Sunday)
* Trading session times (Saturday & Sunday)
* Optional trading window labels
* Easy point size adjustment directly in the code
---
### 🎯 Use Cases
* Weekend trading (Crypto, Indices, Synthetic markets)
* Asia range analysis
* Manual range drawing & breakout planning
* Clean, distraction-free chart layouts
---
### 🧠 Who Is This Indicator For?
* Price action traders
* Range & session-based traders
* Traders who prefer **manual chart markup**
* Anyone trading **weekends with structured time windows**
---
### 🛠 Technical Details
* Pine Script® **Version 6**
* Overlay indicator
* Optimized for clarity and performance
---
If you want, I can also provide:
* a **short description** (1–2 lines for the TradingView header)
* **tags & keywords** for better discoverability
* or a **version with user-adjustable dot size via Inputs**
ZigZag++ UltraAlgo EditionLagging indicator used to understand trends and entry / exit points. Suggest using at 4h - 1d intervals first, then 1-2h, to identify zones of opportunities and validate your position.
PCR Put-Call Ratio//@version=5
indicator("PCR Put-Call Ratio", overlay=false, precision=4)
// Input parameters
pcrLength = input(20, "PCR Length", group="Settings")
maLength = input(5, "MA Length", group="Settings")
showOI = input(true, "Use Open Interest", group="Settings")
// Get PCR data from CBOE (requires daily data availability)
pcrData = request.security("CBOE:PC", "D", close)
// Calculate moving average of PCR
pcrMA = ta.sma(pcrData, maLength)
// Levels for interpretation
overbought = 1.2
oversold = 0.6
neutral = 0.9
// Plot PCR value
plot(pcrData, title="PCR Value", color=color.blue, linewidth=2)
plot(pcrMA, title="PCR MA", color=color.orange, linewidth=1)
// Add reference lines
hline(overbought, "Overbought (Bearish)", color.red, linestyle=hline.style_dashed)
hline(neutral, "Neutral", color.gray, linestyle=hline.style_dotted)
hline(oversold, "Oversold (Bullish)", color.green, linestyle=hline.style_dashed)
// Background coloring based on sentiment
bgColor = pcrData > overbought ? color.new(color.red, 80) :
pcrData < oversold ? color.new(color.green, 80) :
color.new(color.gray, 90)
bgcolor(bgColor)
Relative Strength IndexRSI for indian market buy low and sell high.
rsi 3 low belo 15 buy and rsi high above 85 sell
XAUUSD Session Move Stats (Last 14 Days)This indicator analyzes Gold (XAUUSD) session behavior over the last 14 days and calculates how price typically moves during the Asia, London, and New York sessions.
For each session, it shows:
Average Max Up (%) – how far price moves up from session open
Average Max Down (%) – how far price moves down from session open
Average Net Close (%) – where price typically finishes relative to the session open
The data is calculated session-by-session and displayed in a table, helping traders understand session bias, volatility tendencies, and directional behavior.
Best used on intraday timeframes for session-based analysis and contextual trade planning (signals only, no automated trades).
INAZUMA Bollinger BandsThis is an indicator based on the widely used Bollinger Bands, enhanced with a unique feature that visually emphasizes the "strength of the breakout" when the price penetrates the bands.
Main Features and Characteristics
1. Standard Bollinger Bands Display
Center Line (Basis): Simple Moving Average (\text{SMA(20)}).
1 sigma Lines: Light green (+) and red (-) lines for reference.
2 sigma Lines (Upper/Lower Band): The main dark green (+) and red (-) bands.
2. Emphasized Breakout Zones: "INAZUMA / Flare" and "MAGMA"
The key feature is the activation of colored, expanding areas when the candlestick's High or Low breaks significantly outside the \pm 2\sigma bands.
Upper Side (Green Base / Flare):
When the High exceeds the +2\sigma line, a green gradient area expands upwards.
Indication: This visually suggests strong buying pressure or overbought conditions. The color deepens as the price moves further away, indicating higher momentum.
Lower Side (Red Base / Magma):
When the Low falls below the -2 sigma line, a red gradient area expands downwards.
Indication: This visually suggests strong selling pressure or oversold conditions. The color deepens as the price moves further away, indicating higher momentum.
Key Insight: This visual aid helps traders quickly assess the momentum and market excitement when the price moves outside the standard Bollinger Bands range. Use it as a reference for judging trend strength and potential entry/exit points.
Customizable Settings
You can adjust the following parameters in the indicator settings:
Length: The period used for calculating the Moving Average and Standard Deviation. (Default: 20)
StdDev (Standard Deviation): The multiplier for the band width (e.g., 2.0 for -2 sigma). (Default: 2.0)
Source: The price data used for calculation (Default: close).
PEAD ScreenerPEAD Screener - Post-Earnings Announcement Drift Scanner
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WHY EARNINGS ANNOUNCEMENTS CREATE OPPORTUNITY
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The days immediately following an earnings announcement are among the noisiest periods for any stock. Within hours, the market must digest new information about a company's profits, revenue, and future outlook. Analysts scramble to update their models. Institutions rebalance positions. Retail traders react to headlines.
This chaos creates a well-documented phenomenon called Post-Earnings Announcement Drift (PEAD): stocks that beat expectations tend to keep rising, while those that miss tend to keep falling - often for weeks after the initial announcement. Academic research has confirmed this pattern persists across decades and markets.
But not every earnings surprise is equal. A company that beats estimates by 5 cents might move very differently than one that beats by 5 cents with unusually high volume, or one where both earnings AND revenue exceeded expectations. Raw numbers alone don't tell the full story.
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HOW "STANDARDIZED UNEXPECTED" METRICS CUT THROUGH THE NOISE
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This screener uses a statistical technique to measure how "surprising" a result truly is - not just whether it beat or missed, but how unusual that beat or miss was compared to the company's own history.
The core idea: convert raw surprises into Z-scores.
A Z-score answers the question: "How many standard deviations away from normal is this result?"
- A Z-score of 0 means the result was exactly average
- A Z-score of +2 means the result was unusually high (better than ~95% of historical results)
- A Z-score of -2 means the result was unusually low
By standardizing surprises this way, we can compare apples to apples. A small-cap biotech's $0.02 beat might actually be more significant than a mega-cap's $0.50 beat, once we account for each company's typical variability.
This screener applies this standardization to three dimensions: earnings (SUE), revenue (SURGE), and volume (SUV).
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THE 9 SCREENING CRITERIA
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1. SUE (Standardized Unexpected Earnings)
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WHAT IT IS:
SUE measures how surprising an earnings result was, adjusted for the company's historical forecast accuracy.
Calculation: Take the earnings surprise (actual EPS minus analyst estimate), then divide by the standard deviation of past forecast errors. This uses a rolling window of the last 8 quarters by default.
Formula: SUE = (Actual EPS - Estimated EPS) / Standard Deviation of Past Errors
HOW TO INTERPRET:
- SUE > +2.0: Strongly positive surprise - earnings beat expectations by an unusually large margin. These stocks often continue drifting higher.
- SUE between 0 and +2.0: Modest positive surprise - beat expectations, but within normal range.
- SUE between -2.0 and 0: Modest negative surprise - missed expectations, but within normal range.
- SUE < -2.0: Strongly negative surprise - significant miss. These stocks often continue drifting lower.
For long positions, look for SUE values above +2.0, ideally combined with positive SURGE.
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2. SURGE (Standardized Unexpected Revenue)
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WHAT IT IS:
SURGE applies the same standardization technique to revenue surprises. While earnings can be manipulated through accounting choices, revenue is harder to fake - it represents actual sales.
Calculation: Take the revenue surprise (actual revenue minus analyst estimate), then divide by the standard deviation of past revenue forecast errors.
Formula: SURGE = (Actual Revenue - Estimated Revenue) / Standard Deviation of Past Errors
HOW TO INTERPRET:
- SURGE > +1.5: Strongly positive revenue surprise - the company sold significantly more than expected.
- SURGE between 0 and +1.5: Modest positive surprise.
- SURGE < 0: Revenue missed expectations.
The most powerful signals occur when BOTH SUE and SURGE are positive and elevated (ideally SUE > 2.0 AND SURGE > 1.5). This indicates the company beat on both profitability AND top-line growth - a much stronger signal than either alone.
When SUE and SURGE diverge significantly (e.g., high SUE but negative SURGE), treat with caution - the earnings beat may have come from cost-cutting rather than genuine growth.
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3. SUV (Standardized Unexpected Volume)
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WHAT IT IS:
SUV detects unusual trading volume after accounting for how volatile the stock is. More volatile stocks naturally have higher volume, so raw volume comparisons can be misleading.
Calculation: This uses regression analysis to model the expected relationship between price volatility and volume. The "unexpected" volume is the residual - how much actual volume deviated from what the model predicted. This residual is then standardized into a Z-score.
In plain terms: SUV asks "Given how much this stock typically moves, is today's volume unusually high or low?"
HOW TO INTERPRET:
- SUV > +2.0: Exceptionally high volume relative to the stock's volatility. This often signals institutional activity - big players moving in or out.
- SUV between +1.0 and +2.0: Elevated volume - above normal interest.
- SUV between -1.0 and +1.0: Normal volume range.
- SUV < -1.0: Unusually quiet - less activity than expected.
High SUV combined with positive price movement suggests accumulation (buying). High SUV combined with negative price movement suggests distribution (selling).
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4. % From D0 Close
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WHAT IT IS:
This measures how far the current price has moved from the closing price on its initial earnings reaction day (D0). The "reaction day" is the first trading day that fully reflects the earnings news - typically the day after an after-hours announcement, or the announcement day itself for pre-market releases.
Calculation: ((Current Price - D0 Close) / D0 Close) × 100
HOW TO INTERPRET:
- Positive values: Stock has gained ground since earnings. The higher the percentage, the stronger the post-earnings drift.
- 0% to +5%: Modest positive drift - earnings were received well but momentum is limited.
- +5% to +15%: Strong drift - buyers continue accumulating.
- > +15%: Exceptional drift - significant institutional interest likely.
- Negative values: Stock has given back gains or extended losses since earnings. May indicate the initial reaction was overdone, or that sentiment is deteriorating.
This metric is most meaningful within the first 5-20 trading days after earnings. Extended drift (maintaining gains over 2+ weeks) is a stronger signal than a quick spike that fades.
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5. # Pocket Pivots
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WHAT IT IS:
Pocket Pivots are a volume-based pattern developed by Chris Kacher and Gil Morales. They identify days where institutional buyers are likely accumulating shares without causing obvious breakouts.
Calculation: A Pocket Pivot occurs when:
- The stock closes higher than it opened (up day)
- The stock closes higher than the previous day's close
- Today's volume exceeds the highest down-day volume of the prior 10 trading sessions
The screener counts how many Pocket Pivots have occurred since the earnings announcement.
HOW TO INTERPRET:
- 0 Pocket Pivots: No detected institutional accumulation patterns since earnings.
- 1-2 Pocket Pivots: Some institutional buying interest - worth monitoring.
- 3+ Pocket Pivots: Strong accumulation signal - institutions appear to be building positions.
Pocket Pivots are most significant when they occur:
- Immediately following earnings announcements
- Near moving average support (10-day, 21-day, or 50-day)
- On above-average volume
- After a period of price consolidation
Multiple Pocket Pivots in a short period suggest sustained institutional demand, not just a one-day event.
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6. ADX/DI (Trend Strength and Direction)
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WHAT IT IS:
ADX (Average Directional Index) measures trend strength regardless of direction. DI (Directional Indicator) shows whether the trend is bullish or bearish.
Calculation: ADX uses a 14-period lookback to measure how directional (trending) price movement is. Values range from 0 to 100. The +DI and -DI components compare upward and downward movement.
The screener shows:
- ADX value (trend strength)
- Direction indicator: "+" for bullish (price trending up), "-" for bearish (price trending down)
HOW TO INTERPRET:
- ADX < 20: Weak trend - the stock is moving sideways, choppy. Not ideal for momentum trading.
- ADX 20-25: Trend is emerging - potentially starting a directional move.
- ADX 25-40: Strong trend - clear directional movement. Good for momentum plays.
- ADX > 40: Very strong trend - powerful move in progress, but may be extended.
The direction indicator (+/-) tells you which way:
- "25+" means ADX of 25 with bullish direction (uptrend)
- "25-" means ADX of 25 with bearish direction (downtrend)
For post-earnings plays, ideal setups show ADX rising above 25 with positive direction, confirming the earnings reaction is developing into a sustained trend rather than a one-day spike.
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7. Institutional Buying PASS
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WHAT IT IS:
This proprietary composite indicator detects patterns consistent with institutional accumulation at three stages after earnings:
EARLY (Days 0-4): Looks for "large block" buying on the earnings reaction day (exceptionally high volume with a close in the upper half of the day's range) combined with follow-through buying on the next day.
MID (Days 5-9): Checks for sustained elevated volume (averaging 1.5x the 20-day average) combined with positive drift and consistent upward price movement (more up days than down days).
LATE (Days 10+): Detects either visible accumulation (positive drift with high volume) OR stealth accumulation (positive drift with unusually LOW volume - suggesting smart money is quietly building positions without attracting attention).
HOW TO INTERPRET:
- Check mark/value of '1': Institutional buying pattern detected. The stock shows characteristics consistent with large players accumulating shares.
- X mark/value of '0': No institutional buying pattern detected. This doesn't mean institutions aren't buying - just that the typical footprints aren't visible.
A passing grade here adds conviction to other bullish signals. Institutions have research teams, information advantages, and long time horizons. When their footprints appear in the data, it often precedes sustained moves.
Important: This is a pattern detection tool, not a guarantee. Always combine with other analysis.
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8. Strong ATR Drift PASS
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WHAT IT IS:
This measures whether the stock has drifted significantly relative to its own volatility. Instead of asking "did it move 10%?", it asks "did it move more than 1.5 ATRs?"
ATR (Average True Range) measures a stock's typical daily movement. A volatile stock might move 5% daily, while a stable stock might move 0.5%. Using ATR normalizes for this difference.
Calculation:
ATR Drift = (Current Close - D0 Close) / D0 ATR in dollars
The indicator passes when ATR Drift exceeds 1.5 AND at least 5 days have passed since earnings.
HOW TO INTERPRET:
- Check mark/value of '1': The stock has drifted more than 1.5 times its average daily range since earnings - a statistically significant move that suggests genuine momentum, not just noise.
- X mark/value of '0': The drift (if any) is within normal volatility bounds - could just be random fluctuation.
Why wait 5 days? The immediate post-earnings reaction (days 0-2) often includes gap fills and noise. By day 5, if the stock is still extended beyond 1.5 ATRs from the earnings close, it suggests real buying pressure, not just a reflexive gap.
A passing grade here helps filter out stocks that "beat earnings" but haven't actually moved meaningfully. It focuses attention on stocks where the market is voting with real capital.
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9. Days Since D0
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WHAT IT IS:
Simply counts the number of trading days since the earnings reaction day (D0).
HOW TO INTERPRET:
- Days 0-5 (Green): Fresh earnings - the information is new, institutional repositioning is active, and momentum trades are most potent. This is the "sweet spot" for PEAD strategies.
- Days 6-10 (Neutral): Mid-period - some edge remains but diminishing. Good for adding to winning positions, less ideal for new entries.
- Days 11+ (Red): Extended period - most of the post-earnings drift has typically played out. Higher risk that momentum fades or reverses.
Research shows PEAD effects are strongest in the first 5-10 days after earnings, then decay. Beyond 20-30 days, the informational advantage of the earnings surprise is largely priced in.
Use this to prioritize: focus on stocks with strong signals that are still in the early window, and be more selective about entries as days accumulate.
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PUTTING IT ALL TOGETHER
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You can use this screener in the chart view or in the Screener.
One combination of the above filters to develop a shortlist of positive drift candidates may be:
- SUE > 2.0 (significant earnings beat)
- SURGE > 1.5 (significant revenue beat)
- Positive % From D0 Close (price confirming the good news)
- Institutional Buying PASS (big players accumulating)
- Strong ATR Drift PASS (statistically significant movement)
- Days Since D0 < 10 (still in the active drift window)
No single indicator is sufficient. The power comes from convergence - when multiple independent measures all point the same direction.
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SETTINGS
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Key adjustable parameters:
- SUE Method: "Analyst-based" uses consensus estimates; "Time-series" uses year-over-year comparison
- Window Size: Number of quarters used for standardization (default: 8)
- ATR Drift Threshold: Minimum ATR multiple for "strong" classification (default: 1.5)
- Institutional Buying thresholds: Adjustable volume and CLV parameters
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DISCLAIMER
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This screener is a research tool, not financial advice. Past patterns do not guarantee future results. Always conduct your own due diligence and manage risk appropriately. Post-earnings trading involves significant uncertainty and volatility. The 'SUE' in this indicator does not represent a real person; any similarity to actual Sue's (or Susans for that matter) living or dead is quite frankly ridiculous, not to mention coincidental.
T3 Al-Sat Sinyalli//@version=5
indicator("T3 Al-Sat Sinyalli", overlay=true, shorttitle="T3 Signal")
// Kullanıcı ayarları
length = input.int(14, minval=1, title="Periyot")
vFactor = input.float(0.7, minval=0.0, maxval=1.0, title="Volatility Factor (0-1)")
// EMA hesaplamaları
ema1 = ta.ema(close, length)
ema2 = ta.ema(ema1, length)
ema3 = ta.ema(ema2, length)
// T3 hesaplaması
c1 = -vFactor * vFactor * vFactor
c2 = 3 * vFactor * vFactor + 3 * vFactor * vFactor * vFactor
c3 = -6 * vFactor * vFactor - 3 * vFactor - 3 * vFactor * vFactor * vFactor
c4 = 1 + 3 * vFactor + vFactor * vFactor * vFactor + 3 * vFactor * vFactor
t3 = c1 * ema3 + c2 * ema2 + c3 * ema1 + c4 * close
// T3 çizimi
plot(t3, color=color.new(color.blue, 0), linewidth=2, title="T3")
// Mum renkleri
barcolor(close > t3 ? color.new(color.green, 0) : color.new(color.red, 0))
// Al-Sat sinyalleri
buySignal = ta.crossover(close, t3)
sellSignal = ta.crossunder(close, t3)
// Okları çiz
plotshape(buySignal, title="Al", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small)
plotshape(sellSignal, title="Sat", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small)
Renkli EMA BAR//@version=5
indicator("EMA Color Cross + Trend Arrows V6", overlay=true, max_bars_back=500)
// === Inputs ===
fastLen = input.int(9, "Hızlı EMA")
slowLen = input.int(21, "Yavaş EMA")
// === EMA Hesapları ===
emaFast = ta.ema(close, fastLen)
emaSlow = ta.ema(close, slowLen)
// Trend Yönü
trendUp = emaFast > emaSlow
trendDown = emaFast < emaSlow
// === Çizgi Renkleri ===
lineColor = trendUp ? color.new(color.green, 0) : color.new(color.red, 0)
// === EMA Çizgileri (agresif kalın) ===
plot(emaFast, "Hızlı EMA", lineColor, 4)
plot(emaSlow, "Yavaş EMA", color.new(color.gray, 70), 2)
// === Ok Sinyalleri ===
buySignal = ta.crossover(emaFast, emaSlow)
sellSignal = ta.crossunder(emaFast, emaSlow)
// Büyük Oklar
plotshape(buySignal, title="AL", style=shape.triangleup, color=color.green, size=size.large, location=location.belowbar)
plotshape(sellSignal, title="SAT", style=shape.triangledown, color=color.red, size=size.large, location=location.abovebar)
// === Trend Bar Color ===
barcolor(trendUp ? color.green : color.red)
Position Trdaing Lines (2 entries + live PnL)Position Trading Lines (2 entries + live PnL) is a utility script designed to visually manage a manual position on the chart, with clear TP/SL levels and real-time profit & loss.
The script does not place orders. It is meant to help you simulate / track an existing or planned position.
Features
• Up to 2 trades on the same symbol
• Each trade has:
• Direction: Long / Short
• Position size (lot)
• Entry price
• Take Profit (T.Profit) price
• Stop Loss (S.Loss) price
• Entry shift in bars from the last candle (to align with past or future entries)
• Visual lines on the price chart
• Horizontal line at the entry price
• Horizontal line at Take Profit
• Horizontal line at Stop Loss
• Informative labels
• Entry label showing: direction, size and @ entry price
• TP and SL labels showing:
• T.Profit / S.Loss
• position size
• @ price
• estimated PnL at that level
• If both trades share the same TP or SL price, a single combined label is shown with the total size and total PnL.
• Commissions
• Global commission input (percentage over notional).
• Commission is included in all PnL calculations.
• Live PnL label
• Real-time combined PnL of the active trades, updated on the last bar.
• Color changes with sign (green for profit, red for loss).
• Selective PnL for Trade 2
• Trade 2 has a switch: “Count PnL in total”.
• You can keep Trade 2 visible on the chart but exclude it from the combined PnL until it is actually active.
This tool is useful for discretionary traders who want a clean visual representation of their position, R:R, and projected outcomes directly on the chart, without relying on the broker’s position panel.
HA Line + Trend Oklar//@version=5
indicator("HA Line + Trend Oklar", overlay=true)
// Heiken Ashi hesaplamaları
haClose = (open + high + low + close) / 4
var float haOpen = na
haOpen := na(haOpen) ? (open + close) / 2 : (haOpen + haClose ) / 2
haHigh = math.max(high, math.max(haOpen, haClose))
haLow = math.min(low, math.min(haOpen, haClose))
// Trend yönüne göre renk
haColor = haClose >= haClose ? color.green : color.red
// HA kapanış çizgisi
plot(haClose, color=haColor, linewidth=3, title="HA Close Line")
// Agresif oklar ile trend gösterimi
upArrow = ta.crossover(haClose, haClose )
downArrow = ta.crossunder(haClose, haClose )
plotshape(upArrow, title="Up Arrow", location=location.belowbar, color=color.green, style=shape.triangleup, size=size.large)
plotshape(downArrow, title="Down Arrow", location=location.abovebar, color=color.red, style=shape.triangledown, size=size.large)
Order Flow Analysis [Master Alert]This script is a custom modification of the original "Order Flow Analysis" indicator by kingthies.
I have taken the original code and engineered a "Master Alert" system into it. Here is the breakdown of what this specific script does:
1. The Core Purpose: "One Ring to Rule Them All"
In the original script, if you wanted to catch every move, you would have to set up separate alerts for Divergences, Absorptions, Crosses, etc. This modified script combines all 8 possible signals into a single "Master Trigger."
2. What triggers the Alert?
The alert will fire if ANY of the following 4 events happen on a candle:
Divergence (The Arrows):
Green Arrow: Price makes lower low, Pressure makes higher low (Bullish).
Red Arrow: Price makes higher high, Pressure makes lower high (Bearish).
Absorption (The Transparent Bars):
Bull Absorption: Huge volume + Price won't drop (Hidden Buying).
Bear Absorption: Huge volume + Price won't rise (Hidden Selling).
Zero Line Crosses (The Sentiment Flip):
Bull Cross: Pressure score flips from Negative to Positive.
Bear Cross: Pressure score flips from Positive to Negative.
Strong Zones (Turbo Mode):
Strong Bull: Pressure score breaks above +50.
Strong Bear: Pressure score breaks below -50.
3. How to Use It
Add the script to your chart.
Create an Alert.
Select "Order Flow Master" as the Condition.
Select "MASTER ALERT (All Signals)".
Now, you will get a notification for every single significant event this indicator detects, without needing multiple alert slots.
MACD Trend Count ScoreThis indicator aims to confirm trends in an asset's price. This confirmation is achieved by counting the MACD bars in a calculation using the chosen timeframe. Positive and negative bars are considered in the calculation of the strength index, which indicates the current trend of that asset.
MACD Trend Count ScoreThis indicator aims to confirm trends in an asset's price. This confirmation is achieved by counting the MACD bars in a calculation using the chosen timeframe. Positive and negative bars are considered in the calculation of the strength index, which indicates the current trend of that asset.
This Delta index summarizes the predominance of positive or negative bars in the MACD histogram over weekly, bi-weekly, monthly, bi-monthly, and quarterly periods, and, depending on the timeframe used, its result allows one to indicate the intensity of the current trend, according to the results it shows within the following ranges:
Acima de +60 → Strong Raise.
Entre +20 e +60 → Moderate High.
Entre -20 e +20 → Neutral.
Entre -60 e -20 → Moderate Low.
Abaixo de -60 → Strong Low.
SUPERTREND ADX FACTOR Modular Trading System - SuperTrend + ADX + DI
A comprehensive trend-following system with customizable filters for precise trade execution.
CORE COMPONENTS:
- SuperTrend with visual fill (trend detection)
- ADX + Directional Indicators (trend strength confirmation)
- Volume filter (optional)
- EMAs 7/21/50 (optional)
- Daily VWAP (optional)
- Previous Day High/Low levels (support/resistance)
KEY FEATURES:
✓ One entry per trend - avoids overtrading
✓ Entry: ADX crosses above threshold with SuperTrend alignment
✓ Exit: SuperTrend direction change
✓ Real-time status dashboard showing all filter conditions
✓ Clear BUY/SELL signals with EXIT markers
✓ All filters can be toggled ON/OFF for testing
✓ Customizable parameters for each indicator
DASHBOARD DISPLAY:
- Live ADX value (green >23 / red <23)
- DI+/DI- values with color coding
- Volume metrics
- Position status (IN/OUT)
- Signal status (BUY/SELL/WAIT)
IDEAL FOR:
Swing traders and position traders on 4H timeframe looking for high-probability trend entries with proper confirmation.
Default configuration: SuperTrend (ATR 10, 3.0) + ADX >23 + DI alignment
Smart WhaleOverview The Smart Whale Breakout System is a pure momentum strategy designed for Swing Traders who want to capture high-probability breakouts while managing risk with a mechanical trailing stop.
Unlike indicators that try to guess "bottoms," this system follows the "Smart Money" approach: buying strength when institutional volume enters, and riding the trend until the momentum breaks.
How it Works
1. The Entry (The Hunter) The system identifies a valid BREAKOUT signal only when four specific conditions align:
Trend Filter: Price must be above the 150 SMA. We only trade with the long-term trend.
Momentum: RSI > 50. Ensuring bulls are in control.
Volume Spike (Whale Activity): Current volume must be significantly higher than the average (Default: 1.5x). This filters out weak retail moves.
Price Action: A bullish candle closing higher than it opened.
2. The Exit (The Manager) Once in a trade, the system activates a dynamic Trailing Stop line. You never have to guess when to sell. You can choose between two exit logic modes in the settings:
ATR Trailing (Default): Adapts to volatility. The stop moves up based on a multiple of the Average True Range (ATR). Great for volatile stocks (e.g., TSLA, NVDA).
Percent Trailing: A fixed percentage drop from the highest high. (e.g., "Sell if price drops 10% from peak").
3. The Context (Optional Filter)
Squeeze Filter: Includes a built-in Bollinger/Keltner squeeze detection. If enabled in settings, the system will only signal a buy if the price recently broke out of a consolidation (squeeze). Default is OFF to catch all momentum moves.
Key Features
NO Repainting: Signals are confirmed at candle close.
Visual Risk Management: A Red Trailing Stop line clearly shows where your invalidation point is.
Fully Customizable: Adjust the Volume multiplier, ATR sensitivity, or Percentage drop to fit your asset class (Crypto/Stocks/Forex).
Clean Visuals: Only colors the Breakout and Sell candles to keep your chart clean.
Settings Guide
Trend SMA Length: Define the long-term trend baseline (Default: 150).
Volume Spike (xAvg): How much volume is needed to trigger a buy? (1.5 = 150% of average).
Exit Method: Choose between "ATR Trailing" or "Percent Trailing".
ATR Multiplier: Tighter stop (2.0) vs Looser stop (3.0).
Require Squeeze?: Check this to filter for breakouts that only happen after a consolidation period.
Disclaimer This tool is for educational purposes only. Always use proper risk management.
Zee's A+ MOMO BreakThis just shows an indicator when you have a 5 minute momentum candle that breaks PMH under specific parameters, i.e candle size, wick size, relative volume, time of day, etc. It will plot the PMH with a gold line automatically. Entry would be at the close of the MOMO break. I highly encourage you to back test your results and see how strong this setup is. Any questions feel free to comment or reach out, thanks.
