Fixed Multi-TF Dashboard + Color TimerThis version changes the remaining time; if it's less than 1 minute, it's yellow, and if it's less than 30 seconds, it's red.
Indicadores y estrategias
Futures Calendar Spread Mean Reversion Strategyfutures calendar spread strategy:
Make sure you type in the correct spread in your chart
3 standard deviations for entry, with a stop at 4 standard deviations, seems to work best
don't select tp at mean
Use with energies and grains futures, anything very seasonal
Big Trades [Volume Anomalies] (Enhanced)The script is a **volume-anomaly “big trades” detector** for futures that tries to (1) split each candle’s volume into a **buy-pressure** and **sell-pressure** estimate, (2) flag **statistically extreme** candles (tiers), and (3) optionally label those extremes as **initiative (follow-through)** vs **absorbed (no follow-through)** using a forward-style confirmation window.
Here’s what it does, piece by piece.
---
## 1) What it’s trying to detect
It’s not true “whale prints” or real bid/ask delta. It detects:
* **unusually large participation** (volume anomaly)
* with a **directional guess** (buy-ish vs sell-ish)
* and then checks whether price **continued** after that anomaly
So it’s: **“big participation + did it work?”**
---
## 2) The “buy vs sell volume” estimate
For each candle, it builds a **weight** for buy and sell pressure:
* **close location within the candle**
* close near high → more buy weight
* close near low → more sell weight
* **body direction (close–open)**
* bullish body adds buy boost
* bearish body adds sell boost
Then it computes:
* `raw_buy = volume * buy_weight`
* `raw_sell = volume * sell_weight`
This is an **OHLC-based proxy** for pressure, not real aggressor volume.
---
## 3) Normalization (makes it behave across sessions)
If enabled, it divides by ATR:
* `norm_buy = raw_buy / ATR`
* `norm_sell = raw_sell / ATR`
This helps a lot on futures because volume/volatility regimes differ between Asia/London/NY.
---
## 4) Statistical anomaly detection (z-score logic)
It calculates “what’s normal” using the last `lookback` bars, but **uses ` `** so the current bar doesn’t contaminate the stats (reduces flicker):
* `avg_buy = sma(norm_buy, lookback) `
* `std_buy = stdev(norm_buy, lookback) `
(and same for sell)
Then it computes **z-scores**:
* `z_buy = (norm_buy - avg_buy) / std_buy`
* `z_sell = (norm_sell - avg_sell) / std_sell`
If z-score crosses thresholds, it triggers tiers:
* Tier 1: `sigma`
* Tier 2: `sigma + tier_step1`
* Tier 3: `sigma + tier_step2`
So **Tier 3 = “big bubble”**.
---
## 5) Optional VWAP bias filter
It computes VWAP correctly as:
* `vwapv = ta.vwap(hlc3)`
If enabled:
* buys only when `close >= vwap`
* sells only when `close <= vwap`
This is just a **trend/bias filter** to reduce counter-trend bubbles.
---
## 6) Plotting (how bubbles appear)
It places markers at:
* buys around `(close+low)/2` (lower-ish)
* sells around `(close+high)/2` (upper-ish)
And draws:
* small/medium/large circles (depending on tier)
* with optional INIT/ABS overlays (explained next)
---
## 7) “Initiative vs Absorbed” classification (the smart part)
Because Pine can’t see the future on the same bar, your script does a **delayed evaluation**:
* It waits `N = confirm_bars`
* Looks at what happened from the signal bar to the current bar
* Decides if price moved far enough in the intended direction
It uses:
* `hh_window = highest(high, N+1)`
* `ll_window = lowest(low, N+1)`
(these cover the last N+1 bars: from signal bar to now)
Then it measures follow-through:
* For a buy signal N bars ago:
`buy_move = hh_window - high `
* For a sell signal N bars ago:
`sell_move = low - ll_window`
It compares to an ATR-based threshold anchored to the signal bar:
* `thr_move_sig = ATR * move_mult_atr`
If move > threshold → **INIT**
Else → **ABS**
Then it **plots back onto the original signal bar** using `offset=-N` so it visually marks the candle that caused it.
To make it obvious:
* **INIT** = circle
* **ABS** = X
This part is “accurate” in the sense that it’s purely **price-outcome based**.
---
## 8) Labels (optional)
If enabled, it prints labels on those large signals with:
* INIT/ABS
* the z-score at the signal bar
* and a “delta proxy” (`norm_buy - norm_sell`), not true delta
---
## In one sentence
The script flags **statistically extreme volume-pressure candles** (buy/sell proxy), and then classifies those extremes as **worked (initiative)** or **failed (absorbed)** based on **subsequent price movement** within `confirm_bars`.
MACDHLAdapted from Mohamed3nan. Added 1H MACD logic. Background colors indicate momentum shifts: Red for bearish (Red Histogram peaking) and Green for bullish (Green Histogram bottoming). Buy/Sell signals are triggered by Center Line breakouts or rejections. The Center Line serves as a dynamic Support and Resistance (S/R) for short-term trading.
MRG Session High/LowMRG Session High/Low - Indicator Description
📊 Overview
This Pine Script indicator automatically displays key levels from Asian and London trading sessions on your TradingView chart. It plots the high and low points of each completed session, allowing you to quickly identify important support and resistance zones for your trades.
🎯 Key Features
Detected Sessions (New York Timezone)
Asian Session: 18:00 - 03:00 (6pm - 3am)
London Session: 03:00 - 09:00 (3am - 9.30am)
Plotted Levels
Session High: The highest point reached during the session
Session Low: The lowest point reached during the session
Start Lines: Vertical dashed lines marking the beginning of each session (optional)
⚙️ Customizable Settings
Display Options
✅ Show/hide Asian Session
✅ Show/hide London Session
✅ Show/hide session start lines
Style Options
🎨 Asian Color: Orange by default
🎨 London Color: Blue by default
🎨 Start lines color: Red by default
📏 Line thickness: Adjustable from 1 to 5
🔍 How It Works
Automatic Detection: The indicator automatically detects when a new session begins
Level Calculation: During each session, it continuously records highs and lows
Line Plotting: At the end of each session, it draws two horizontal lines:
One line at the session high level
One line at the session low level
Extension: Lines extend to the right for easy future identification
📈 Strategic Usage
For Breakout Trading
Trade breakouts of Asian and London session highs/lows
Breakouts from these levels often signal the beginning of significant moves
For Support and Resistance
Use these levels as key support and resistance zones
Prices often come back to test these levels during the New York session
For Multi-Timeframe Analysis
Identify consolidation during Asian/London sessions
Anticipate volatility at New York open
💡 Advantages
✨ Clear and automatic visualization of session levels
⏱️ Time-saving: no need to manually draw levels
🎯 Precise levels based on actual highs/lows of each session
🔄 Automatically updates daily
📱 Compatible with all timeframes (recommended: M5, M15, H1)
🎓 Ideal For
Forex traders (especially XAUUSD, EUR/USD, GBP/USD)
Scalpers and day traders
Session breakout strategies
Trading around New York open
Liquidity zone analysis
📌 Important Note
The indicator uses New York timezone (America/New_York) to ensure session time accuracy, regardless of your local timezone.
KCP MACD + RSI Overlay [Dr.K.C.Prakash]KCP MACD + RSI Overlay
KCP MACD + RSI Overlay is a price-chart indicator that combines MACD crossovers (momentum change) with RSI strength confirmation.
It gives BUY when momentum turns bullish and RSI shows strength, and SELL when momentum turns bearish with weak RSI—helping filter false signals and trade only higher-quality moves.
Momentum Indikator (Avg Volume)Momentum Indicator (Avg Volume)
1. Purpose of the Indicator
The WMT Momentum Indicator (Avg Volume) is designed to highlight strong price movements accompanied by increased trading volume.
It specifically filters for trading days where:
volume is increasing,
volume is above its average,
and the percentage price movement exceeds a defined threshold.
The goal is to identify momentum days early — both bullish and bearish.
2. Display & Visualization
Visualization: Histogram (columns)
Panel: Separate indicator window (overlay = false)
Y-Axis: Percentage price change compared to the previous close
Colors:
🟢 Green: Positive daily movement (Close ≥ Open)
🔴 Red: Negative daily movement (Close < Open)
Zero Line: Reference line separating positive and negative momentum
3. Input Parameters
Parameter Description Default
+/- Movement Threshold (%) Minimum absolute daily price movement in percent 4.0 %
Volume Average (Days) Period for the moving average of volume 20 days
4. Logic & Calculations
4.1 Volume Conditions
The indicator only considers days where:
Volume is higher than the previous day
volHigherPrev = volume > volume
Volume is above the moving average
avgVolume = ta.sma(volume, volLength)
volAboveAvg = volume > avgVolume
➡️ This ensures that only days with unusually high market participation are taken into account.
4.2 Price Movement
Percentage change vs. previous close
priceMovePct = (close - close ) / close * 100
Absolute movement
absMovePct = math.abs(priceMovePct)
Intraday direction
priceMoveDay = close - open
4.3 Direction Logic
Condition Meaning
priceMoveDay ≥ 0 Bullish day (green)
priceMoveDay < 0 Bearish day (red)
4.4 Main Condition (Signal Filter)
A bar is displayed only if all of the following conditions are met:
showBar =
volHigherPrev and
volAboveAvg and
absMovePct >= moveThreshold
➡️ Interpretation:
Only strong price movements with rising and above-average volume are visualized.
5. Color Logic
barColor =
showBar and volGreen ? color.green :
showBar and volRed ? color.red :
na
Color Meaning
Green Strong bullish momentum
Red Strong bearish momentum
No bar Conditions not met
6. Plot Description
Momentum Histogram
plot(
showBar ? priceMovePct : na,
style = plot.style_columns
)
Bars are plotted only when showBar = true
Bar height represents the percentage change vs. previous close
Direction and color indicate momentum direction
Zero Line
hline(0, "0-Line")
Visual separation between positive and negative momentum
Helps with quick interpretation
7. Typical Use Cases
Identifying breakout days
Confirming trend continuation
Detecting distribution or accumulation
Filtering for momentum trading & swing trading
Complementing price action or volume-based strategies
8. Practical Interpretation
Tall green bar:
→ Strong buying pressure, potential trend start or continuation
Tall red bar:
→ Strong selling pressure, possible trend exhaustion or short signal
No bars:
→ Market without relevant momentum (sideways / low volume)
ETH - Log Regression BandsETH – Log Regression Bands: Detailed Description (Math + How to Use)
Overview
This indicator plots a long-term “fair value” growth curve for ETH and surrounds it with multiple upper and lower bands. The goal is to estimate where price sits relative to a long-term trend that is best interpreted in **logarithmic (percentage) terms**, not raw dollars.
The bands create clear zones showing when ETH is historically cheap or expensive relative to that long-term curve.
---
Why use logarithms?
Price action is typically more meaningful in **percentage moves** than in absolute dollar moves.
* A move from $100 → $200 is +100%
* A move from $2000 → $2100 is only +5%
By modelling the natural logarithm of price, multiplicative growth becomes additive. That makes long-term growth easier to model and band spacing more consistent across very different price regimes.
So instead of modelling (P), the indicator models:
---
The growth model: Power-law curve
The indicator uses “time since inception” as the x-axis. However, rather than using time directly, it uses the logarithm of time:
where (t) is the number of days (or bars) since the first data point.
It then fits a straight-line model in log-log space:
Substituting back in:
Exponentiating both sides gives the curve in normal price units:
This is a **power-law** trend curve. It naturally produces a smooth, slowly bending long-term curve similar to the “log regression” curves often seen in macro crypto reports.
---
What “expanding regression” means
The model uses all data available from the beginning of the chart up to the current bar. That means:
* Early in the asset’s history the curve can change more because there are fewer points.
* Over time the curve becomes more stable as more history is included.
Important note: this does **not** repaint past bars. It simply means the current curve will update as new data comes in.
---
Measuring “typical deviation” from the curve (residual volatility)
Once the trend curve is fitted in log space, the indicator measures how far price typically wanders away from it.
At any time point:
* Actual log price is (y = \ln(P))
* Predicted log price from the curve is (\hat{y} = a + b\ln(t))
The **residual** is:
The indicator computes the standard deviation of these residuals:
This (\sigma) is a measure of typical “distance from trend” in log terms.
---
Building the bands (the key idea)
The bands are evenly spaced in **log space** using multiples of (\sigma). A band number (k) is created by shifting the log-trend up or down:
Upper band (k):
Lower band (k):
Where:
* (k) is the band number (1, 2, 3, …)
* (s) is a user-chosen spacing factor (band spacing)
* (\sigma) is the residual standard deviation
Converting back to normal price:
Upper band (k):
Lower band (k):
Why bands look like “translated copies”
Because shifting by a constant in log space equals multiplying by a constant in price space:
So the bands are the same underlying curve scaled up or down by fixed multipliers. That produces the smooth “stacked curve” look associated with macro log regression charts.
---
Optional curve shift (manual adjustment)
A manual offset can be applied in log space. This is useful if you want to align the entire structure slightly higher or lower.
Because the shift is applied to (\ln(P)), this is not an additive dollar adjustment. It scales the entire curve by a constant factor:
* Positive shift → multiplies all bands upward
* Negative shift → multiplies all bands downward
---
How to interpret the zones
The base curve represents a long-term “trend center” in log-growth terms.
* Price near the base curve → near long-term trend
* Price in upper bands → expensive relative to long-term trend
* Price in lower bands → cheap relative to long-term trend
Because the bands are built using residual volatility in log space, “cheap/expensive” is measured in a way that remains meaningful across different eras and price levels.
---
Long-term buy zones (Lower 1 and Lower 2)
**Lower 1** and **Lower 2** are intended as **long-term accumulation zones**.
When ETH trades in these zones, it is significantly below the long-term growth curve in log terms, which typically corresponds to:
* deep bear markets,
* high fear / capitulation phases,
* long accumulation periods.
A simple long-term framework many users apply:
* **Accumulate gradually when price enters Lower 1**
* **Accumulate more aggressively when price enters Lower 2**
* Reduce risk / take profits progressively in higher upper bands
These are not guarantees — they are **statistical “distance from trend” zones**, designed to help structure long-term decisions.
---
## Notes / limitations
* This indicator is a **macro trend tool**, not an intraday trading system.
* The curve is derived from historical behavior; it can shift slowly as new data arrives.
* Extremely new market regimes or structural changes can reduce reliability.
* Use alongside risk management and additional confirmation if trading.
---
ICT iFVG Detector + Checklist + Killzones & Pivots (Merged)ZOE IFVG + Sessions + CISD (Multi-Timeframe) is an all-in-one ICT-style toolkit designed to simplify bias, timing, and execution by combining the most important market delivery concepts into one indicator.
This script merges:
🔥 1) IFVG (Inversion Fair Value Gaps)
Automatically detects and draws Inversion Fair Value Gaps
Helps highlight high-probability reversal / continuation delivery zones
Clean visual zones for entries + mitigation-based logic
⏰ 2) ICT Sessions / Killzones & Pivots
Fully integrated from the open-source ICT Killzones & Pivots toolset:
Asia, London, NY AM, NY Lunch, NY PM Killzones
Session high/low pivot lines + optional midpoint lines
Opening price lines and timestamp markers
Optional Day/Week/Month open + previous highs/lows
Day-of-week labels + session range table
This helps you time entries based on where you are in the day, and identify session liquidity levels that price reacts to.
📌 3) CISD (Change In State of Delivery) — Multi-Timeframe
Detects CISD levels using body-based market structure logic
Marks bullish and bearish CISD levels cleanly on chart
Crosses Open Daily (shock points OD)It is an indicator that works to alert you when an asset, during the day, crosses or approaches the daily open again.
10/30 EMA Ribbon (5-Min) with 50 EMAThe 10/30 EMA Ribbon is a 5-minute overlay indicator that highlights short-term trend direction and momentum using a shaded ribbon between the 10 EMA and 30 EMA. A separate 50 EMA line is included as a higher-timeframe trend filter, helping traders align entries with the dominant market direction.
TQ Gold Trend (Macro Regime)This indicator answers one question only:
Is gold in a monetary uptrend right now?
It does not:
Forecast prices
Time entries
Use momentum or volatility
It simply classifies the macro trend regime of gold.
3️⃣ Logic (Simple, Explicit)
Timeframe: Weekly
Indicator: 30-week Simple Moving Average
Interpretation:
Bullish: Price above a rising 30W SMA
Bearish: Price below a falling 30W SMA
Neutral: Everything else (transition / range)
This is classic macro trend / stage analysis, adapted for gold as a monetary asset.
4️⃣ How to Use It (User Instructions)
How to read the chart
>If Gold is Bull, precious metals matter.
>If Gold is Bear, ignore silver and miners.
>If Gold is Neutral, wait — no edge.
Best use
Check once per week
Use as the first filter before looking at:
Gold/DXY
Gold/SPY
Silver/Gold
Recommended timeframe
Weekly only (designed for macro regimes, not trading)
Custom Price Offsets v6.1Use the indicator to mark pullbacks and targets on your chart based off custom levels. Click to set the initial point on your chart. Can change your offsets in the settings menu. must delete and readd indicator to change set point.
Wyckoff Schematic by Kingshuk GhoshThe "Wyckoff Schematic" is a Pine Script indicator that automatically detects and visualizes Wyckoff Method accumulation and distribution patterns in real-time. This professional tool helps traders identify smart money movements, phase transitions, and critical market structure points.
Key Features-
1. Wyckoff Pattern Detection
Auto-detection of all Wyckoff phases (A through E)
Accumulation patterns: SC, AR, Spring, SOS, LPS
Distribution patterns: BC, UTAD, LPSY
Real-time phase identification with color-coded visualization
2. Multi-Timeframe Analysis-
Main chart analysis with customizable lookback period
1M Wave View showing monthly perspective in a compact overlay
Daily data integration for current month analysis
Swing point detection with trend lines
3. Advanced Visualization-
Phase boxes with semi-transparent overlays
Critical event labels with anti-clutter spacing
Horizontal support/resistance lines (dynamic)
Zigzag trend lines for price structure
Comprehensive table showing current status and key events
4. Customizable Parameters-
Adjustable lookback period (20-300 bars)
Configurable volume spike multiplier
Customizable display options (labels, boxes, lines)
Adjustable zigzag sensitivity
Configurable wave view height and swing legs
Display Settings: Event labels, phase boxes, support/resistance lines
Visual Settings: Label size, transparency, offset percentage
Zigzag Settings: High/low length
Wave View Settings: Toggle, height percentage, swing legs
Color Scheme:
Phase A: Red
Phase B: Teal
Phase C: Blue
Phase D: Green
Phase E: Yellow
Bullish: Green
Bearish: Red
Alert System:
Critical event alerts: SC, AR, Spring, SOS, LPS, BC, UTAD, LPSY
Phase transition alerts: Markup phase entry ,Customizable alert conditions
How to Use-
For Beginners:
Apply the indicator to any chart
Enable "Auto-Detect Wyckoff Patterns"
Look for colored phase boxes (A-E)
Watch for critical event labels (SC, AR, Spring, etc.)
Check the table in top-right corner for current status
For Advanced Users:
Adjust lookback period based on trading timeframe
Modify volume multiplier for sensitivity
Customize display to reduce clutter
Use wave view for higher timeframe context
Set alerts for specific Wyckoff events
Unique Selling Points:
Comprehensive Detection: Covers all Wyckoff phases and critical events
Clean Visualization: Anti-overlap labeling, organized display
Multi-Timeframe: Combines current chart with monthly perspective
Educational: Helps learn Wyckoff methodology through visualization
Professional: Suitable for both retail and institutional analysis
Performance Notes:
Uses dynamic requests for multi-timeframe data
Includes max object limits to prevent performance issues
Efficient calculation methods for real-time analysis
Intended Users:
Price action traders
Wyckoff method practitioners
Market structure analysts
Swing traders and position traders
Educational purposes for learning market manipulation patterns
Works best on 4H,Daily,Weekly & Monthly Time frame
Suitable for all markets (stocks, forex, crypto, futures)
Support:
The indicator includes comprehensive tooltips and visual cues to help users understand each Wyckoff event and phase. The table provides quick reference to current market conditions and detected patterns.
This indicator transforms complex Wyckoff methodology into actionable visual signals, making institutional accumulation/distribution patterns accessible to all traders.
Disclaimer: This indicator is for educational purposes only. Always practice proper risk management and combine with your own analysis before making trading decisions. Happy trading.
5MA + TrendMagic + Disparity Scalping + Volume Spikes5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
Price–EMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.5MA + Trend Magic + Disparity Scalping + Volume Spikes
This indicator is a multi-layer scalping and intraday framework designed to combine trend context, volatility expansion, mean-reversion opportunities, and volume-based turning points into a single chart.
It is especially effective for fast markets such as GOLD (XAUUSD) and lower timeframes.
Key Components
1. 5 Moving Average Structure
EMA 9 / 20 / 50 / 100 / 200
Provides instant trend direction, compression, and dynamic support/resistance
Useful for filtering scalp signals in trend vs range conditions
2. Trend Magic (CCI + ATR Based)
Modified Trend Magic line using CCI direction and ATR trailing logic
Clearly defines bullish / bearish bias
Acts as a trend filter to avoid counter-trend scalps during strong moves
3. Ultra Fast Disparity Scalper
Detects short-term overextension from EMA9 and EMA20
Uses:
Price–EMA disparity
RSI overbought / oversold
RVI momentum prediction
Designed for quick mean-reversion scalps, not trend entries
Includes a simple overheating filter that grays out signals during extreme conditions
4. GOLD Volatility Expansion Detector
Specialized logic for explosive moves using:
ATR expansion
Bollinger Band breakouts
Historical Volatility vs Realized Volatility divergence
Generates signals only when volatility regime shifts, not during noise
Ideal for catching impulsive breakout phases
5. Volume Spike Reversal Signals
Detects abnormal volume spikes relative to volume SMA
Optional filters:
Valid swing high / low only
Hammer / Shooting Star candles
Same candle color confirmation
Session-based filtering
Designed to highlight potential exhaustion and reaction points
Signals are plotted on the previous bar for accuracy
How to Use
Use EMA structure + Trend Magic to define market context
Take Disparity Scalping signals only when price is stretched and momentum weakens
Use Volume Spikes to confirm exhaustion or reaction zones
Use GOLD volatility signals to stay with expansion moves, not fade them
This indicator is not a single-entry system, but a decision-support tool that helps align trend, momentum, volatility, and volume for high-probability intraday trading.
KDJ在 TradingView 发表脚本时，**描述（Description）** 非常重要。审核员要求描述必须详细说明脚本的**原理、独特性以及用法**，否则容易被驳回。
由于你的参数 (63, 21, 5) 非常特殊，属于“长周期/季度线”级别的设置，我在撰写描述时重点突出了它**“过滤噪音”**和**“捕捉中长期趋势”**的特点。
以下是为你准备的发布文案，包含**标题**和**正文（中英双语）**。你可以直接复制使用。
---
### 标题 (Title)
**KDJ Trend Filter (63, 21, 5) **
### 描述正文 (Description)
*(复制以下内容到 TradingView 的描述框中)*
** **
**Overview**
This is a custom KDJ indicator designed for **medium-to-long term trend analysis**. Unlike the default parameters (9, 3, 3) which are often too sensitive and prone to false signals in volatile markets, this script uses a specific set of parameters **(63, 21, 5)** to smooth out the noise.
**Why these parameters?**
* **N = 63 (Calculation Period):** Represents approximately one quarter (3 months) of trading days. This aligns the indicator with the quarterly trend rather than weekly fluctuations.
* **M1 = 21 (Smooth K):** A significantly higher smoothing factor for the K-line. This reduces the "jitter" and ensures that a crossover usually indicates a genuine shift in momentum.
* **M2 = 5 (Smooth D):** The smoothing period for the D-line.
**How to use**
1. **Trend Identification:** Due to the long period, this KDJ acts more like a trend-following tool than a typical oscillator.
2. **Crossovers:**
* **Golden Cross (K > D):** Suggests a potential start of a medium-term bullish trend.
* **Dead Cross (K < D):** Suggests a potential start of a medium-term bearish trend.
3. **Filtering:** This setup is excellent for filtering out market noise. It will react slower than standard KDJ but provides more reliable signals for swing traders.
**Settings**
* Calculation Period: 63
* MAC1 (K Smoothing): 21
* MAC2 (D Smoothing): 5
---
** **
**概述**
这是一个专为**中长期趋势分析**设计的 KDJ 指标。标准的 KDJ 参数（9, 3, 3）在震荡行情中过于敏感，容易产生虚假信号。本脚本采用了特定的长周期参数 **(63, 21, 5)**，旨在过滤短期市场噪音，捕捉更稳健的趋势方向。
**参数逻辑**
* **计算周期 (N) = 63：** 大约对应一个季度（3个月）的交易日。这意味着指标关注的是季度级别的价格位置，而非短期波动。
* **MAC1 (M1) = 21：** K值的平滑周期。相比默认值，21的平滑度极高，这使得 K 线非常平稳，只有在趋势发生实质性改变时才会转向。
* **MAC2 (M2) = 5：** D值的平滑周期。
**使用方法**
1. **趋势识别：** 由于周期较长，该指标具有“钝化”的特性，更适合作为趋势跟踪工具，而非短线超买超卖指标。
2. **交叉信号：**
* **金叉 (K上穿D)：** 通常意味着中级行情的启动。
* **死叉 (K下穿D)：** 通常意味着中级调整的开始。
3. **过滤噪音：** 在横盘震荡期间，该参数设置能有效减少频繁的交叉信号，帮助交易者拿住波段。
**默认设置**
* 计算周期：63
* MAC1：21
* MAC2：5
---
### 💡 发表前的检查清单 (Checklist)
1. **代码确认**：确保你的 Pine Script 代码中 `overlay=false`（因为 KDJ 是副图指标）。
2. **图表展示**：在点击发表前，最好在图表上画几条线或标记，展示一下金叉和死叉的位置，这样更容易通过审核，也能让用户一眼看懂。
3. **分类 (Category)**：建议选择 **"Trend Analysis" (趋势分析)** 和 **"Oscillators" (震荡指标)**。
如果你需要我帮你微调代码以符合上述描述（例如添加颜色填充或特定的信号标记），请告诉我！
ICT Venom Trading Model [TradingFinder] SMC NY Session 2025SetupIt is a new interesting indicator. It might be a little bit difficult to implement but i like it a lot
ICT Algo: Sweep + MSS + High Prob FVG/IFVGThis script is a comprehensive execution tool based on Inner Circle Trader (ICT) concepts, specifically designed to identify high-probability entries by combining Liquidity Sweeps, Market Structure Shifts (MSS), and Fair Value Gaps (FVG/IFVG).
Unlike standard FVG indicators that highlight every gap on the chart, this "Algo" version filters for gaps that occur specifically after a liquidity purge and a shift in structure, ensuring you are only looking at setups with institutional backing.
How It Works
The script follows a strict 3-step validation process before plotting a signal:
Liquidity Sweep (The Context): The script tracks Higher Timeframe (HTF) levels including Previous Day High/Low, Weekly High/Low, and Monthly High/Low. A setup is only considered valid if price has recently "swept" one of these levels, indicating a hunt for liquidity.
Market Structure Shift (The Confirmation): Once a sweep occurs, the script looks for a displacement in the opposite direction. It identifies a "Pivot High/Low" (customizable length) and waits for a candle body to close beyond it (MSS).
Filtered Entry (The Trigger): * FVG: Plots a standard Fair Value Gap if it forms within a "Deep Value" zone (Discount for longs, Premium for shorts).
IFVG (Inversion FVG): Highlights failed FVGs that have been reclaimed by price to act as support or resistance.
Key Features
Multi-Timeframe Liquidity Filters: Automatically plots PDH/L, PWH/L, PMH/L, and PYH/L. You can toggle which levels act as your sweep triggers.
Deep Value Logic: The script uses built-in logic to ensure Bullish FVGs are only highlighted when price is below a key liquidity level (Discount), and Bearish FVGs when price is above (Premium).
Dynamic Box Management: To keep your chart clean, boxes for FVGs and IFVGs are automatically shortened ("cut") once they are mitigated by price.
Inversion Logic: Includes a specialized toggle for Inversion Fair Value Gaps, allowing you to trade "failed" gaps that flip their polarity.
Settings & Customization
Entry Setup Bias: Choose to see only Bullish, only Bearish, or Both setups.
MSS Pivot Length: Adjust how "sensitive" the Market Structure Shift detection is. A higher number requires a more significant swing to be broken.
Sweep Lookback: Defines how many bars back the script looks for a liquidity sweep to remain "active" for a setup.
Include Opens: Optional toggle to include Previous Day/Week/Month Opens as liquidity points.
Usage Tips
The Golden Setup: Look for a sweep of a Previous Day High, followed by a Bearish MSS, and an entry at the Red FVG box.
Risk Management: This indicator is designed for entry identification. Always use stop losses (usually placed above/below the candle that created the FVG or the MSS swing point).
Timeframes: Best used on execution timeframes (1m, 5m, 15m) while the script handles the HTF levels automatically.
Disclaimer: This script is an educational tool and does not constitute financial advice. Trading involves significant risk. Past performance of a strategy does not guarantee future results.
Credits: Concepts based on the teachings of Michael J. Huddleston (ICT).
Liquidity Trap Strategy - ATR OptimizedLiquidity Trap Strategy – Optimized Version
1. Overview
The Liquidity Trap Strategy is a high-probability price action trading system designed to exploit “trapped buyers or sellers” around key levels from the previous trading day.
Markets: Works on any market (Forex, Crypto, Futures, Indices, Stocks)
Timeframes: Designed for 15-minute (15m) and 1-hour (1H) charts
Trading Style: “Hunter” style — trades may not happen every day, but setups are high-probability
Trade Frequency: Only first trade per day is taken for simplicity and high quality
2. Key Components
a) Daily Levels
Previous Day High (PDH) and Previous Day Low (PDL) are automatically calculated using the prior day’s bar.
These are drawn as anchored horizontal lines, extending to the current day.
PDH/PDL act as key support/resistance zones — areas where liquidity is often trapped.
b) Trap Concept
The strategy is based on the “liquidity trap” principle:
Buyer Trap (Short Entry):
Price breaks above the previous day high (PDH) → buyers think price will continue higher.
Price reverses immediately below PDH, trapping aggressive buyers above the key level.
This creates selling pressure, giving an opportunity to enter short.
Seller Trap (Long Entry):
Price breaks below the previous day low (PDL) → sellers think price will continue lower.
Price reverses immediately above PDL, trapping aggressive sellers below the key level.
This creates buying pressure, giving an opportunity to enter long.
The key idea: trapped traders cause the market to move in the opposite direction of the breakout, creating high-probability moves.
c) Trade Execution Logic
Buyer Trap / Short Entry:
Condition: high > PDH AND close < PDH AND no trade taken yet today
Entry: Short at the close of the trap candle
Stop Loss: ATR-based above the trap candle high to avoid minor wick stops
Take Profit: 2:1 Risk-to-Reward ratio
Seller Trap / Long Entry:
Condition: low < PDL AND close > PDL AND no trade taken yet today
Entry: Long at the close of the trap candle
Stop Loss: ATR-based below the trap candle low
Take Profit: 2:1 Risk-to-Reward ratio
Only the first trap trade of the day is allowed to avoid overtrading.
d) Risk Management
Stop-Loss (SL):
ATR-based to account for market volatility
Ensures the trade survives minor wick sweeps without being stopped out prematurely
Take-Profit (TP):
Fixed 2:1 R:R relative to SL
Ensures each winning trade outweighs potential losses
Trade Frequency:
Only first trade per day is allowed, making it highly selective and reducing noise
3. Visual Features
PDH/PDL Lines: Anchored to previous day, extend into current day, color-coded:
PDH → Green
PDL → Red
Trade Labels: Placed on the trap candle:
Short → Red label “Short”
Long → Green label “Long”
The visual markers make it easy to identify exactly where the trap occurred and the trade was triggered.
4. How the Strategy Works – Step by Step
Example for Short (Buyer Trap):
Market opens, PDH/PDL from yesterday are drawn.
Price spikes above PDH → some buyers enter expecting breakout continuation.
Price immediately closes back below PDH, trapping buyers.
The strategy enters short at the close of the reversal candle.
SL: placed above the trap candle using ATR to give room
TP: calculated as 2x the risk (distance from entry to SL)
Trade executes — first trade of the day. Any further trap signals today are ignored.
Example for Long (Seller Trap):
Price drops below PDL → some sellers enter.
Price immediately closes back above PDL, trapping sellers.
Strategy enters long at the close of the reversal candle.
SL: below trap candle using ATR
TP: 2:1 R:R
Trade executes — only first trade of the day.
5. Why This Strategy Works
Exploits liquidity zones: Markets often hunt stops above PDH or below PDL.
High-probability reversals: Trapped traders create strong counter moves.
ATR SL: avoids being stopped by minor market noise or wick spikes.
Selective trading: Only first trade per day → reduces overtrading and noise.
Clear visual markers: Makes manual observation and confirmation easy.
6. Key Tips for Traders
Best on high-volume instruments like Forex majors, indices, or crypto pairs with decent liquidity.
Works well on 15m and 1H charts — 15m allows quicker signals, 1H filters noise.
Avoid trading around major news releases — traps can behave differently during high volatility events.
Always backtest and use the ATR SL — never reduce SL too much, otherwise stops will trigger before the real move.
✅ Summary:
The Liquidity Trap Strategy identifies trapped buyers/sellers using previous day highs/lows.
It uses ATR-adapted stops and 2:1 R:R TP.
Only first trade per day is executed, reducing false signals.
Anchored PDH/PDL lines and labels make trade opportunities clear.
This system is low-frequency, high-probability, focusing on trading smart rather than frequently.
NX - ICT PD Arrays (Enhanced) FVG & ORDER BLOCKS # NX - ICT PD Arrays (Enhanced) - Algorithm Explainer
This indicator identifies high-probability Fair Value Gaps (FVGs) and Order Blocks (OBs) using Inner Circle Trader concepts with intelligent filtering to show only the most significant institutional footprints.
## How It Works
**Smart Filtering System:**
The algorithm uses a multi-factor scoring system (0-100 points) to evaluate each potential zone:
**For FVGs (Fair Value Gaps):**
- Gap size relative to ATR volatility (0-40 pts)
- Price displacement strength (0-40 pts)
- Formation at swing high/low structure (bonus 20 pts)
- Only displays zones scoring 25+ points
**For Order Blocks:**
- Block size relative to ATR (0-30 pts)
- Displacement momentum (0-35 pts)
- Swing point formation (bonus 15 pts)
- Market structure break confirmation (bonus 20 pts)
- Only displays zones scoring 30+ points
**Key Features:**
- ATR-normalized sizing filters out noise across all timeframes
- Swing detection identifies structurally significant levels
- Displacement percentage measures institutional momentum
- Optional structure break requirement for highest-probability OBs
- Zones extend until price fills them completely
**Adjustable Controls:**
Fine-tune sensitivity via displacement %, ATR multiples, and swing lookback parameters to match your trading style and market conditions.
Gap Tracker Indicator v5Gap Tracker Indicator - Description
Purpose: The Gap Tracker identifies price gaps on charts and visualizes unfilled gap zones that may act as future support/resistance levels.
What it shows:
Gap zones as colored rectangles:
Red boxes = bearish gaps (price gapped down, leaving unfilled space above)
Green boxes = bullish gaps (price gapped up, leaving unfilled space below)
How gaps form:
A gap occurs when the opening price of one candle is significantly different from the closing price of the previous candle
Common after weekends, holidays, or major news events when markets are closed
Gaps create "empty" price zones with no trading activity
Trading significance:
Many traders believe gaps tend to "fill" eventually (price returns to the gap zone)
Unfilled gaps can act as magnetic levels - price often revisits them
Gap zones may provide support (bullish gaps) or resistance (bearish gaps)
On your chart:
Multiple red boxes show unfilled bearish gaps where price gapped down
Green boxes show unfilled bullish gaps where price gapped up
The indicator tracks these zones until price fills them completely
Right side shows "GAP TRACKER" panel with active gaps: Aktywne (2), Zamknięte (9), Zakres 7d (168)
Key insight: The concentration of unfilled gaps suggests potential magnetic zones where price may return for "gap fill" trades. Traders often use these levels for entries, exits, or stop placement.
