QQQ Daily Levels (paste text) + Majors (clean labels)Copy past daily levels to see them on chart.
QQQ Daily levels
Pine Script® Indikator
Fundamental Analyse
NBS.v5Gold (XAUUSD) is one of the most traded commodities in the financial markets and is widely considered a safe-haven asset during times of economic uncertainty. The price of gold is highly influenced by global macroeconomic factors such as inflation data, interest rate decisions, U.S. dollar strength, geopolitical tensions, and central bank policies.
Pine Script® Indikator
Entry Filter v2.2[CaptainJack]进场筛选器v2.2
Multi-timeframe entry filter with trend analysis.
Features adaptive volatility adjustment, momentum filtering, and range detection. Displays 4-period trend lines, 15-minute control line, and trend background. Generates buy, cautious buy, sell, and take-profit signals with crossover alerts. Includes golden/death cross markers and trend confirmation. Ideal for both high and low frequency trading with customizable parameters.
Pine Script® Indikator
Session High/Low + Session OpenSession High/Low + Session Open
This indicator tracks the Asia, London, and New York trading sessions using Eastern Time and provides clear structural reference levels for intraday trading.
What It Does
1. Session High & Low Tracking
During each session, the script monitors price in real time.
It records the highest high and lowest low made within that session.
When the session ends, it prints a small horizontal “tick” at:
The final session high
The final session low
Each session uses a different color:
Asia → Yellow
London → Red
New York → Green
These ticks mark important liquidity levels that institutions often target in later sessions.
2. Market Open Vertical Lines (Toggleable)
Optional infinite vertical lines mark the exact open of each session.
Each session open matches its session color.
These lines extend infinitely up and down for clear time-based structure.
All session opens can be toggled individually or as a group.
3. Timezone
All sessions are calculated using Eastern Time (New York time) to ensure accurate alignment with global market structure.
4. Scale & Chart Compatibility
The indicator is designed to anchor directly to price so levels stay fixed to candles regardless of zooming, dragging, or scaling.
For Best Experience
For proper alignment and clean structure:
Pin the indicator to the same price scale as your candles (usually the right scale).
Avoid using multiple separate scales on the chart.
Use standard candles (not synthetic types like Heikin Ashi) for accurate session highs/lows.
Best used on intraday timeframes (1m–15m) for precision session analysis.
Keep your chart clean — these levels are meant to highlight liquidity, not clutter the screen.
Pine Script® Indikator
Dollar Ladder Rulerutomatically draws clean horizontal dollar-based price levels around the current price to highlight key psychological support and resistance zones.
Designed for intraday traders, scalpers, and options traders (SPY / QQQ / high-liquidity stocks) who trade around whole and half-dollar magnets.
Levels update dynamically as price moves — no manual drawing needed.
Level hierarchy
• $0.50 → thin white dashed
• $1.00 → thin white solid
• $2.50 → yellow dashed
• $5.00 → thick yellow
• $10.00 → thicker yellow
• $50.00 → thickest possible (major macro level)
Higher increments stand out visually so you can instantly spot:
reaction zones
bounce/rejection areas
breakout levels
scalp targets
Best for
• 1m–5m charts
• SPY / QQQ / large caps
• 0DTE & day trading
• price action + structure trading
Settings
Range Above/Below ($)
Controls how many levels are displayed around current price.
Tip:
10–15 → tight scalping view
20–30 → broader intraday view
Pine Script® Indikator
Dollar Ladder RulerAn automatic horizontal price ladder overlay that draws clean, evenly spaced dollar levels around the current price to highlight psychological support/resistance zones and common reaction areas.
Built specifically for intraday traders, scalpers, and options traders (SPY / QQQ / large caps) who rely on whole/half dollar magnets and key dollar increments.
No manual drawing required — levels update automatically as price moves.
Level hierarchy
• $0.50 → thin white dashed
• $1.00 → thin white solid
• $2.50 → yellow dashed
• $5.00 → thick yellow
• $10.00 → thicker yellow
• $50.00 → thickest possible (major macro level)
Higher increments visually stand out more so you instantly see:
major reaction zones
bounce/rejection areas
breakout magnets
key scalping targets
Why this helps
• Highlights psychological whole/half dollar behavior
• Cleaner than manually drawing lines
• Great for 1m–5m charts
• Perfect for 0DTE / day trading
• Automatically centers around current price
• Lightweight and fast
Settings
Range Above/Below Price ($)
Controls how many levels are displayed around price.
Pine Script® Indikator
1. 10 Years + Corona1) Covid Marker (10-Year Lookback)
A clean visual lookback tool that highlights the most relevant 10-year window on the chart and marks the Covid period as a reference point. Built for orientation and consistent historical context.
Features
Visual 10-year lookback window
Covid period marker/reference
Visual only — no trade signals
How to use
Add it to any chart
Use it as the fixed historical reference window for analysis
Note
Not a buy/sell indicator — context only.
Pine Script® Indikator
SentinelIndexOverview
The Sentinelindex is a comprehensive risk-assessment tool designed to expose the divergence between market price action and underlying macroeconomic reality. While the S&P 500 might print new highs, the Sentinelindex looks beneath the surface to see if the move is backed by liquidity, economic stability, and institutional conviction.
This indicator aggregates three non-correlated pillars of market health into a single, easy-to-read 0-100 normalized score.
The Three Pillars of the Sentinel Score
Liquidity (M2 Money Supply YoY): Markets run on fuel, and that fuel is money. By tracking the Year-over-Year change in the M2 Money Supply (via FRED data), the indicator penalizes the score when liquidity is contracting or stagnating, signaling a "dry" environment where rallies are harder to sustain.
Economic Clock (Yield Curve 10Y-2Y): The 10Y-2Y spread is the most reliable recession predictor in history. However, the real danger isn't just inversion—it's de-inversion. This script specifically monitors the critical phase where the curve returns to positive territory (0 to 1.0), a zone historically associated with market pivots and economic shifts.
The Shadow (Insider Sell/Buy Ratio): The ultimate "Smart Money" signal. This component tracks the behavior of corporate insiders (CEOs, CFOs). When those with the most information are selling into a rally at a high ratio, the Sentinel Score spikes, revealing a "Distribution Phase" that retail traders often miss.
How to Interpret the Score
0 - 40 (Green): Healthy Accumulation. High liquidity, stable macro, and calm insiders. The trend is likely supported by fundamentals.
40 - 75 (Orange): Tactical Caution. Divergences are forming. Liquidity is tightening or the Yield Curve is shifting. The ice is getting thinner.
75 - 100 (Red): Distribution Alert. Maximum risk. While prices may be high, the "Smart Money Shadow" indicates institutional exiting and macro headwinds. Capital protection becomes the priority.
Instructions for Users
Manual Input: Due to the proprietary nature of aggregate Insider Trading data, the Insider Sell/Buy Ratio must be updated manually once a week (typically every Monday) in the script settings. We recommend using a 1-week aggregate ratio from reliable sources like OpenInsider.
Data Source: This indicator automatically fetches real-time data from the Federal Reserve (FRED). Ensure your TradingView account has access to FRED symbols (default for most users).
Best Timeframes: Daily (D) or Weekly (W) for high-level macro analysis.
Pine Script® Indikator
Earnings Move & Volatility RadarEarnings Move & Volatility Radar: an overlay indicator for analyzing **earnings events**, designed to quickly quantify and visualize a stock’s typical reaction on the **first trading day after earnings (E+1)** and the **second trading day (E+2)**—including typical move size, up/down odds, extremes, and where your chosen thresholds sit inside the historical distribution. The script automatically detects earnings events using TradingView earnings data and annotates key reaction points on the chart to support review, backtesting, and risk framing.
**Chart Annotations**
- **PreMkt label**: Overnight/premarket gap from **earnings-day close → E+1 open** (direction-colored).
- **E+1 label**: **E+1 close vs earnings-day close** percent move, with date for quick per-event review.
- **E+2 label**: **E+2 close vs E+1 close** percent move to judge continuation vs reversal.
**Statistics Table Fields**
**Observations (Xm)**
- The number of earnings events included within your lookback window (X months). This is the sample size used for all stats.
**E+1 Close-Day Stats (E+1 close vs earnings-day close)**
- **Max move**: The largest E+1 close-to-close change (%) observed (biggest first-day reaction up).
- **Min move**: The smallest E+1 close-to-close change (%) observed (worst first-day reaction down).
- **Up frequency**: % of events where the E+1 close change is > 0.
- **Down frequency**: % of events where the E+1 close change is < 0.
- **Avg up move**: Average E+1 close change (%) considering only up outcomes.
- **Avg down move**: Average E+1 close change (%) considering only down outcomes.
- **Percentile @ %**: Places your threshold inside the historical same-direction distribution.
- For upside thresholds: % of E+1 up moves that are <= the threshold.
- For downside thresholds: % of E+1 down moves whose absolute size is smaller than |threshold|.
Answers: “How common is a move at/under this level (in this direction)?”
- **Rank @ %**: A 0–100 linear position of your threshold between the historical min and max (same-direction set).
Answers: “Is this threshold closer to the historical low end or high end?”
**E+1 vs SPY**
- **RelVol avg**: Average Relative Volatility multiple on E+1, computed as `|stock E+1 return| / |SPY return|` for the same session.
- **RelVol > 10x**: % of events where RelVol exceeds the chosen multiple (default 10x).
- **RelVol max**: Maximum RelVol observed.
- **RelVol min**: Minimum RelVol observed.
- **β_normal(60) avg**: Average “normal beta” across earnings events—each event samples the **60-session rolling beta** snapshot at the **earnings-day close** (pre-reaction baseline), then averages across all events.
Formula: `β = Cov(R_stock, R_SPY) / Var(R_SPY)`, where `R` is the close-to-close return.
- **β_imp_gap_abs(E+1) avg**: Average “implied gap strength (absolute)” across earnings events—computed per event as:
`β_imp_gap_abs(E+1) = |Gap_stock| / |Gap_SPY|`, where `Gap = Open(E+1) / Close(EarningsDay) − 1`.
To prevent extreme inflation when the benchmark overnight gap is near zero, an event is excluded (set to N/A) unless `|Gap_SPY|` is at least the configured minimum: **“Min benchmark gap abs for β_imp (%, E+1)”**.
**E+2 Follow-Through Stats (E+2 close vs E+1 close)**
- **Max move**: Largest E+2 close-to-close change (%) observed.
- **Min move**: Smallest E+2 close-to-close change (%) observed.
- **Up frequency**: % of events where E+2 change is > 0.
- **Down frequency**: % of events where E+2 change is < 0.
- **Avg up move**: Average E+2 change (%) considering only up outcomes.
- **Avg down move**: Average E+2 change (%) considering only down outcomes.
- **Percentile @ %**: Same concept as E+1, applied to the E+2 distribution.
- **Rank @ %**: Same concept as E+1, applied to the E+2 distribution.
Disclaimer: For educational and analytical purposes only. Not financial advice.
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Earnings Move & Volatility Radar：是一款用于“财报事件”分析的图表叠加指标，核心目标是快速量化并可视化：个股在财报发布后第 1 个交易日（E+1）与第 2 个交易日（E+2）的典型波动幅度、上涨/下跌概率、极值区间，以及你设定的阈值在历史分布中的位置。指标会基于 TradingView 的财报数据自动识别财报事件，并在图表上标注关键反应节点，帮助你回测与复盘“财报后走势规律”、评估预期波动与尾部风险、制定更合理的交易/风控参数。
图表标注说明
- PreMkt 标签：显示财报日收盘 → 下一交易日开盘（E+1 open）的跳空幅度（盘前/隔夜反应），用红绿区分方向。
- E+1 标签：显示 E+1 收盘相对财报日收盘的涨跌幅，并附带日期，便于逐次复盘首日反应。
- E+2 标签：显示 E+2 收盘相对 E+1 收盘的涨跌幅，用于观察第二天是否延续或反转。
统计表（Statistics table）字段说明
Observations (Xm)
- 统计样本数：在你设置的回看窗口（X 个月）内、被纳入统计的财报事件数量。这个数值就是所有统计结果的样本基数。
E+1 Close-Day Stats（E+1：收盘相对财报日收盘）
- Max move：样本中 E+1 最大涨幅（%），代表最强的首日正向反应。
- Min move：样本中 E+1 最大跌幅（%），代表最强的首日负向反应/尾部风险。
- Up frequency：E+1 收涨（>0）的占比，告诉你首日更常收红还是收绿。
- Down frequency：E+1 收跌（<0）的占比。
- Avg up move：仅统计 E+1 收涨样本的平均涨幅（%），反映“涨的时候通常能涨多少”。
- Avg down move：仅统计 E+1 收跌样本的平均跌幅（%），反映“跌的时候通常能跌多少”。
- Percentile @ %：把你设置的 E+1 阈值放进历史同向分布里看“常见程度”。
- 若阈值为正：统计 E+1 上涨样本中，涨幅 ≤ 该阈值的比例。
- 若阈值为负：统计 E+1 下跌样本中，跌幅绝对值 < |该阈值| 的比例。
用于回答：这个目标幅度在历史上“有多常见/多罕见”。
- Rank @ %：把阈值映射到历史最小—最大区间中的 0–100 位置（同向集合），更直观地看阈值处于“偏低/中等/偏极端”。
E+1 vs SPY（E+1 相对大盘的对比）
- RelVol avg：E+1 的相对波动均值（倍数），计算为 |个股 E+1 涨跌幅| / |SPY 同期涨跌幅|。
用于判断：财报后首日反应通常是“远强于大盘”还是“与大盘差不多”。
- RelVol > 10x：RelVol 超过 10 倍（默认阈值）的事件占比。
用于衡量：出现“相对大盘异常放大波动”的频率有多高。
- RelVol max：样本中最大 RelVol（最极端的相对放大波动）。
- RelVol min：样本中最小 RelVol（最弱的相对波动）。
- β_normal(60) avg：样本期内“常态 Beta”的平均值——对每一次财报事件，取财报反应发生前（财报日收盘时点）的 60 根滚动 Beta 快照，再对所有事件求平均。
计算公式：β = Cov(R_stock, R_SPY) / Var(R_SPY)，其中 R 为日收盘到收盘收益率。
- β_imp_gap_abs(E+1) avg：样本期内“隔夜跳空隐含强度（绝对值口径）”的平均值——对每一次财报事件，按隔夜跳空幅度计算：
β_imp_gap_abs(E+1) = |Gap_stock| / |Gap_SPY|，
其中 Gap = Open(E+1) / Close(财报日) − 1，然后对所有事件求平均。
为避免大盘隔夜跳空过小（分母接近 0）导致数值被极端放大，当 |Gap_SPY| 小于你设置的最小阈值时，该次事件会被剔除（记为 N/A，不参与平均）。
E+2 Follow-Through Stats（E+2：收盘相对 E+1 收盘）
- Max move：样本中 E+2 最大涨幅（%），代表最强的第二天延续。
- Min move：样本中 E+2 最大跌幅（%），代表最强的第二天回撤/反转风险。
- Up frequency：E+2 收涨（>0）的占比。
- Down frequency：E+2 收跌（<0）的占比。
- Avg up move：仅统计 E+2 收涨样本的平均涨幅（%）。
- Avg down move：仅统计 E+2 收跌样本的平均跌幅（%）。
- Percentile @ %：同 E+1 的逻辑，但基于 E+2 的历史分布，用来衡量你设定的 E+2 目标幅度在历史上是否常见。
- Rank @ %：同 E+1 的逻辑，但应用于 E+2。
免责声明：本指标仅用于学习与分析，不构成任何投资建议。
Pine Script® Indikator
Saisonalitaeten Index by BullruntradingThis indicator visualizes historical seasonality patterns over a customizable time range. It displays how each month has performed historically, allowing traders to quickly identify recurring seasonal tendencies.
The heatmap shows:
Monthly performance by year within the selected starting period
Average monthly return across the visible time span
Live performance of the current month, updated in real time
Standard deviation, indicating the volatility of each month
Positive occurrence percentage (Pos%), showing how often a month closed positive within the analyzed period
The color intensity reflects the strength of the monthly performance, making strong seasonal trends immediately visible.
This tool helps traders identify statistically favorable months, assess consistency, and compare current market behavior to historical seasonal patterns.
Pine Script® Indikator
SyCryptoPro SignalWhy SyCryptoPro Signal?
Zero Noise, Pure Signal: Integrated RSI, BB, and Pivot Divergence logic filtered by proprietary re-entry pauses. You don't get signals; you get confirmed entries.
Automation-Ready: Engineered for WonderTrade, 3Commas, and Finandy. Our "Smart Alert Engine" delivers instantaneous, single-bar closing alerts to your bot via Webhooks.
Non-Repaint Reliability: Every signal is locked on bar close. What you see on the chart is what your bot executes. Period.
Multi-Timeframe Dominance: From 5m scalp-hunting to Daily trend-following, the logic scales with the market volatility.
-The Rules of Engagement
Strict Filtering: No signal is generated unless the RSI, Momentum, and Volatility align. We don't trade often; we trade right.
Anti-Choppiness Logic: Built-in "Wait Opposite" and "Re-entry Pause" prevent you from getting liquidated in sideways markets.
-LEASE ONLY – FOR THE SERIOUS 1%
This engine is not for sale. The code is proprietary, the logic is elite, and access is restricted. We don't sell the "Golden Goose"—we only rent out the eggs.
Are you ready to stop guessing and start executing?
Pine Script® Indikator
Trading Sessions with High/Low LevelsTrading Sessions with High/Low Levels
A comprehensive Pine Script indicator for TradingView that provides visual background coloring for major trading sessions along with dynamic high/low level tracking and labeling.
Overview
This advanced indicator combines session background highlighting with precise high/low level detection for each trading session. It tracks and displays the highest and lowest price levels reached during Asia, London, and USA trading sessions, with customizable visual elements including lines, labels, and background colors.
Features
Three Major Trading Sessions : Asia, London, and USA sessions with default time ranges.
High/Low Level Tracking : Automatic detection and display of session highs and lows.
Dynamic Line Drawing : Horizontal lines marking key levels with customizable styling.
Price Labels : Optional labels showing exact high/low values.
Session Background Colors : Customizable background highlighting for active sessions.
Historical Session Display : View multiple previous sessions simultaneously.
Current Day Filter : Option to display only today's sessions.
Line Extension Control : Choose between session-bound or current bar extension.
Timezone Adjustment : Built-in UTC offset adjustment for local timezone compatibility.
Comprehensive Customization : Individual control over colors, styles, and visibility for each session.
Configuration Options
Session-Specific Settings: Each trading session includes the following configurable parameters:
Background Options:
Show session background : Toggle to enable/disable background coloring.
Session background color : Background color with transparency control.
Session Definition:
Name : Custom label for the session.
Session time : Time range in HHMM-HHMM format.
Line Options:
Show High/Low lines : Toggle to enable/disable level lines.
Line/Label color : Color for both lines and labels.
Line width : Thickness of the lines (1-5 pixels).
Line style : Choose between Solid, Dashed, or Dotted lines.
Label Options:
Show High/Low labels : Toggle to enable/disable price labels.
Label text color : Text color for price labels.
Label size : Choose between Tiny, Small, Normal, or Large.
High/Low Lines Options
Number of sessions to show lines : Display 1-21 previous sessions (ignored when current day filter is active).
Only show current day sessions : Filter to display only today's sessions.
Extend lines to current bar : Choose between session-bound lines or extension to current price action.
Global Options
UTC Time Zone Adjustment : Offset value (-12 to +14) to match your local timezone.
Timezone Configuration
The indicator uses a custom UTC offset system. To configure for your timezone:
Examples:
New York (EST) : Set UTC offset to `-5` (or `-4` during DST).
London (GMT) : Set UTC offset to `0` (or `+1` during BST).
Tokyo (JST) : Set UTC offset to `+9`.
Sydney (AEST) : Set UTC offset to `+10` (or `+11` during AEDT).
Key Functionality
Session Tracking
Real-time Detection : Automatically identifies session start/end times.
High/Low Calculation : Tracks extreme values throughout each session.
Historical Storage : Maintains chronological record of completed sessions.
Visual Elements
Background Coloring : Independent control for each session's background.
Horizontal Lines : Precise level marking with customizable styling.
Price Labels : Centered labels showing exact high/low values.
Line Management : Automatic cleanup of old visual elements.
Display Modes
Historical View : Show multiple previous sessions for pattern analysis.
Current Day Focus : Filter to display only today's activity.
Line Extension : Choose between session-specific or current bar alignment.
Limitations
Intraday Only : The indicator will display an error on daily, weekly, or monthly timeframes.
Session Overlap : Multiple sessions may overlap, with colors and lines layering based on execution order.
Maximum of three sessions : Currently supports three configurable sessions.
Line Limit : Maximum of 500 lines enforced by TradingView platform.
Pine Script® Indikator
NSE Momentum Sessions (IST)📊 NSE Momentum Sessions – Intraday Levels & Targets (IST)
This indicator is specially designed for the Indian stock market (NSE) to help intraday traders identify high-probability momentum zones and key price levels during the most active trading sessions.
It automatically tracks Morning Momentum and Power Hour, plots session-based levels, and extends them as intraday targets for the rest of the day.
⏰ Sessions Covered (IST)
Morning Momentum: 9:15 AM – 10:30 AM
Power Hour: 2:20 PM – 3:30 PM
These are the time windows where maximum volume, liquidity & breakouts usually happen.
🔑 What This Indicator Does
✅ Session Boxes
Highlights both sessions using colored boxes
Box automatically adjusts to session High & Low
Helps visually identify consolidation & expansion zones
✅ Key Levels (Auto-Plotted)
For each session, the indicator plots:
Open
High
Low
Close
Average Price
✅ Intraday Target Levels
After session ends, all levels extend to the right
These act as support, resistance & intraday targets
Perfect for breakout, retest & reversal trades
✅ Previous Day Levels (Optional)
Option to keep or hide last day’s levels
Previous day levels are shown in a faded + thin style
Today’s levels remain bright & bold
Makes it very easy to distinguish today vs yesterday
✅ Adjustable Level Offset
Move all levels up or down
Offset in ticks and points
Useful for:
Slippage buffer
Option selling zones
Aggressive / conservative entries
✅ Smart Labels at Session Low
Clean label placed at session LOW
Shows:
Session name
Range (points & ticks)
Average price
OHLC values
⚙️ Customisation Options
Show / hide session boxes
Show / hide levels
Control previous day visibility
Adjust fade intensity of last day levels
Control line thickness (today vs previous day)
Level offset (up/down)
📈 Best Use Cases
NIFTY / BANKNIFTY / FINNIFTY
Intraday stocks
Breakout trading
Liquidity sweep setups
Range expansion days
Support–Resistance based entries
⚠️ Important Notes
Works on intraday timeframes only
Best used with price action & volume
Not a buy/sell signal indicator
💡 Tip
Use Morning session High/Low as the main bias levels and Power Hour levels for late-day moves or reversals.
Pine Script® Indikator
COT Matrix by BullruntradingCOT Index – Commercials vs Specs (with Extremes Zones)
This indicator visualizes the COT Index (Commitment of Traders Index) for three participant groups:
Commercials (Producers / Hedgers)
Large Speculators (Non-Commercials)
Small Speculators (Non-Reportables)
The COT Index is calculated as a percentile value from 0% to 100% over a rolling lookback window (Number of weeks).
It shows where the current net position sits relative to its historical range:
100% = net position is at the top of the lookback range (extreme)
0% = net position is at the bottom of the lookback range (extreme)
How it works
Net positions are calculated from the COT data:
Net = Long positions − Short positions
The indicator converts the net positions into an index:
It finds the lowest and highest net position over the selected lookback period.
It scales the current net position into 0–100%.
Two horizontal thresholds define “extreme zones”:
Upper Threshold (default 80%)
Lower Threshold (default 20%)
Background zones (Extremes)
If enabled, the script highlights:
Above the Upper Threshold → green background
Below the Lower Threshold → red background
You can fully customize the zone colors and transparency.
Labels (Right side)
The indicator can show clean right-side labels for:
Commercials
Large Specs
Small Specs
These labels are positioned slightly to the right (configurable via Label offset) and do not cover the lines.
✅ Important: Labels remain visible even if “Hide the current week” is enabled.
Settings you can customize
Lookback period (Number of weeks)
Upper / lower thresholds
Which groups to display (Commercials / Large / Small)
Line colors
Threshold line colors
Zone colors + zone transparency
Label texts + label offset
Typical interpretation (general guidance)
Values near 80–100% can indicate a high/extreme positioning relative to the lookback range.
Values near 0–20% can indicate a low/extreme positioning.
This does not automatically mean “buy” or “sell” — it simply highlights positioning extremes that many traders use as context alongside price structure, macro, and sentiment.
Pine Script® Indikator
SPP PRO Wyckoff Institutional Engine v4.0Dear User,
Quick Start guide
Step 1: Install the Indicator
1. Open TradingView and navigate to the Pine Script editor (bottom panel).
2. Click “Open” > “New blank indicator” to clear the editor.
3. Delete all existing code and paste the entire Wyckoff Institutional Engine v4.0 script.
4. Click “Add to chart”. The indicator will compile and appear on your chart.
Step 2: Read the Dashboard
Once loaded, you will see a dark-themed dashboard in the top-right corner of your chart. This is your command centre. Focus on these key readings:
Dashboard Row What It Tells You Action
PATTERN Whether the market is in Accumulation, Distribution, or Neutral Determines your directional bias
PHASE Current Wyckoff phase (A through E) Tells you where you are in the cycle
CONFIDENCE Overall signal quality score (0–100%) Only trade above your minimum threshold
P(ACC) / P(DIST) Bayesian probability of accumulation vs distribution Confirms or contradicts the pattern read
COMPOSITE Institutional money flow direction (0–100) Above 60 = institutional buying, below 40 = selling
Step 3: Watch for Event Labels
When the engine detects a Wyckoff event (Spring, SOS, UTAD, etc.), a colour-coded label appears directly on the chart with the event name and its confidence percentage. Green labels are bullish events; red labels are bearish events. The label size scales with confidence: larger labels indicate higher-conviction signals.
Step 4: Set Your First Alert
1. Right-click the indicator name on your chart and select “Add alert on Wyckoff Institutional Engine v4.0”.
2. In the Condition dropdown, select “High Quality Signal” (fires when signal quality exceeds 80%).
3. Choose your notification method (popup, email, push notification, or webhook).
4. Set the alert name to something descriptive like “Wyckoff HQ Signal – BTCUSD” and click Create.
Quick Start Tip
Start with the default settings. The indicator is calibrated for daily charts. For intraday use, reduce the Range Detection Period to 30 and increase Detection Sensitivity to 1.3.
How the Indicator Works
Wyckoff Phase Detection Engine
The core of the indicator is a finite state machine that tracks the progression of Wyckoff schematic events. The engine maintains persistent state across bars, recording the current phase, trading range boundaries (support and resistance), and the count of confirmed events.
Accumulation Schematic
Phase Key Events What Happens Detection Criteria
A: Stopping SC (Selling Climax), AR (Automatic Rally) Downtrend halts with climactic volume and a sharp counter-rally Ultra-high volume + wide spread + close near lows in downtrend; followed by strong bullish bar within 3–15 bars
B: Building Cause ST (Secondary Test) Price oscillates within the trading range, building a cause for the future move Return to SC area on reduced volume with lower wick > body
C: Spring/Test Spring, Shakeout, Test Price briefly penetrates support to shake out weak hands, then recovers Price breaks below range support then closes back above it on moderate volume; close strength > 0.5
D: Markup Begins SOS (Sign of Strength), LPS (Last Point of Support) Demand overwhelms supply with strong moves up on volume; pullbacks hold on declining volume Bullish bar + high volume + close above EMA20 + close strength > 0.7 + composite score > 55
E: Breakout JAC (Jump Across Creek) Decisive break above the trading range on strong volume Close above range high + bullish bar + high volume + close strength > 0.7
Distribution Schematic
Phase Key Events What Happens Detection Criteria
A: Stopping BC (Buying Climax), AR (Automatic Reaction) Uptrend halts with climactic volume and a sharp sell-off Ultra-high volume + wide spread + close near highs in uptrend; followed by bearish bar within 3–15 bars
B: Building Cause ST (Secondary Test) Price oscillates near the high, institutional selling absorbs demand Return to BC area on reduced volume with upper wick > body
C: UTAD UTAD (Upthrust After Distribution) Price briefly penetrates resistance to trap breakout buyers, then reverses Price breaks above range high then closes below it on moderate volume; close strength < 0.5
D: Markdown Begins SOW (Sign of Weakness), LPSY (Last Point of Supply) Supply overwhelms demand with strong moves down on volume; rallies fail on declining volume Bearish bar + high volume + close below EMA20 + close strength < 0.3 + composite score < 45
E: Breakdown ICE Break Decisive break below the trading range on strong volume Close below range low + bearish bar + high volume + close strength < 0.3
Phase Reset Logic
If price moves more than 3x ATR beyond the trading range while still in Phases A–C, the state machine resets to prevent stale phase readings. Phases D and E are not reset as these represent confirmed markup/markdown.
3.2 Volume Spread Analysis (VSA)
The VSA layer classifies every bar according to the Tom Williams methodology, reading the relationship between volume, spread (high minus low), and close position to identify institutional activity that is invisible on price-only charts.
Bar Classifications
Signal Volume Spread Close Position Interpretation
Stopping Volume High Any Lower wick > body, pos < 30% Institutions absorbing supply near lows
No Demand Low Narrow Bullish, pos > 50% Rally lacks institutional participation
No Supply Low Narrow Bearish, pos < 50% Decline lacks institutional selling
Selling Climax Bar Ultra-high Wide Bearish, pos < 20% Panic selling; potential exhaustion
Buying Climax Bar Ultra-high Wide Bullish, pos > 80% Euphoric buying; potential exhaustion
Test Bar Low Narrow pos < 30%, lower wick > upper Successful test of prior supply area
Upthrust Bar High — Upper wick > 1.5x body, pos > 70% Failed breakout attempt; supply entering
Absorption High effort, low result Narrow EVR < 0.5 Large orders being absorbed without moving price
Effort vs Result (EVR)
The EVR ratio divides the result (spread ratio) by the effort (volume ratio). A value below 0.5 with high volume indicates absorption: large institutional orders are being filled without moving the price, a hallmark of accumulation or distribution. A value above 2.0 with low volume indicates ease of movement: price is moving freely, suggesting markup or markdown has begun.
3.3 Smart Money Composite Operator
The Composite Operator score synthesises six institutional flow indicators into a single 0–100 reading that profiles the direction and intensity of institutional money flow.
Component Weight What It Measures Bullish Reading
Chaikin Money Flow (CMF) 25% Volume-weighted buying/selling pressure over 20 bars CMF > 0 (positive flow)
Cumulative Delta 20% Net buying vs selling volume (tick-level proxy) Delta above its 20-bar MA
On-Balance Volume (OBV) 15% Cumulative volume flow direction OBV above its 20-bar MA
Accumulation/Distribution Line 15% Money flow persistence A/D above its 20-bar MA
VSA Signal 15% Current bar’s VSA classification Stopping volume, no supply, or test bar
Money Flow Index (MFI) 10% Volume-weighted RSI (overbought/oversold) MFI between 40–80 (healthy range)
Smart Money Divergence: The engine also detects divergences between price and institutional flow. A bullish divergence occurs when price makes a lower low but cumulative delta makes a higher low and CMF is positive, indicating institutions are accumulating while price falls. A bearish divergence is the mirror: price rising while delta and CMF decline.
3.4 Bayesian AI Probability Engine
The Bayesian engine calculates the posterior probability that the current market structure represents accumulation versus distribution. It starts with a configurable prior probability (default 50%) and updates it by multiplying seven likelihood ratios derived from independent evidence layers.
Evidence Layers & Likelihood Ratios
Evidence Layer Bullish LR Bearish LR Neutral LR
E1: Volume Pattern (stopping vol, absorption) 2.5 0.4 1.0
E2: Price Position (bottom/top of range) 2.0 (pos < 30%) 0.5 (pos > 70%) 1.0
E3: Smart Money Flow (composite score) 1.5–2.0 (score > 60) 0.5–1.0 (score < 40) 1.0
E4: VSA Signal (stopping vol, no supply, test) 2.0 0.5 1.0
E5: Effort vs Result (absorption detected) 1.8 0.6 1.0
E6: Trend Context (downtrend at lows) 1.5 0.6 1.0
E7: Cumulative Delta (bullish divergence) 2.2 0.45 1.0
The Calculation
The combined likelihood ratio is the product of all seven individual ratios. The posterior probability is then computed using Bayes’ theorem:
P(Acc | Evidence) = (Combined_LR × Prior) / (Combined_LR × Prior + (1 - Prior))
The Bayesian Confidence displayed on the dashboard is how far the posterior is from 50/50, scaled to 0–100%. A confidence of 80% means the posterior is at 90% accumulation or 10% accumulation (90% distribution).
3.5 Adaptive Learning System
The adaptive learning system tracks the outcome of every signal by recording the entry price and checking whether price moved favourably within 20 bars. It maintains separate success rates for accumulation and distribution signals, updating them using exponential smoothing:
new_rate = old_rate + learning_rate × (outcome - old_rate)
Where outcome is 1 for a winning signal and 0 for a losing signal. The learning rate (default 0.08) controls how quickly the system adapts: higher values respond faster to recent results but are noisier; lower values are more stable but slower to adjust.
The win rate is displayed in the dashboard and is factored into the Signal Quality Score, creating a feedback loop where the indicator’s confidence in its own signals adjusts based on empirical performance.
3.6 Market Regime Detection
The regime detector classifies the current market environment using ADX (trend strength) and ATR percentile (volatility). This contextualises Wyckoff signals: the same Spring event has very different implications in a quiet ranging market versus a volatile trending market.
Regime Criteria Signal Implications
TREND ▲ ADX > 25, EMA20 > EMA50 Accumulation signals are strongest; distribution signals may be counter-trend
TREND ▼ ADX > 25, EMA20 < EMA50 Distribution signals are strongest; accumulation signals are counter-trend
RANGE ADX < 20, range < 15% of price Ideal environment for Wyckoff detection; phases develop most clearly
VOLATILE ATR > 1.5x its 100-bar average Signals may whipsaw; reduce position size and require higher confidence
QUIET ATR < 0.7x average + ranging Low-risk testing environment; springs and UTADs are most reliable here
3.7 Multi-Timeframe Confluence
When enabled, the engine pulls data from a higher timeframe (default: Daily) and scores the alignment between the current chart’s signals and the higher timeframe context. The MTF alignment score (0–100) is built from four factors:
• HTF Trend: EMA20 vs EMA50 on the higher timeframe (+/- 15 points)
• HTF RSI: RSI above or below 50 on the higher timeframe (+/- 10 points)
• HTF CMF: Chaikin Money Flow positive or negative on the higher timeframe (+/- 10 points)
• Price vs HTF EMA: Current close above or below the higher timeframe EMA20 (+/- 15 points)
MTF Best Practice
For intraday charts (5m–60m), set the higher timeframe to 4H or Daily. For daily charts, use Weekly. Signals that align with the higher timeframe trend have significantly higher win rates.
3.8 Actuarial Risk Management
The risk management layer provides institutional-grade metrics using a Cornish-Fisher expansion to account for the non-normal distribution of financial returns (fat tails and skewness).
Value at Risk (VaR)
VaR estimates the maximum expected loss over one period at a given confidence level. The standard parametric approach assumes normally distributed returns, but real markets exhibit skewness and excess kurtosis. The Cornish-Fisher adjustment modifies the z-score to account for these higher moments:
CF_z = z + (z²-1)×skew/6 + (z³-3z)×kurt/24 - (2z³-5z)×skew²/36
VaR = -(mean_return - CF_z × std_deviation) × portfolio_value
Expected Shortfall (CVaR)
While VaR tells you the threshold loss, Expected Shortfall (also called Conditional VaR) tells you the average loss in the tail beyond the VaR threshold. This is the risk metric preferred by regulators and institutional risk managers because it captures catastrophic tail risk.
Kelly Criterion
The Kelly criterion calculates the theoretically optimal fraction of capital to risk on each trade based on the adaptive win rate and assumed reward-to-risk ratio. The dashboard displays the half-Kelly fraction, which is the standard conservative implementation used by professional fund managers to avoid over-leverage.
Position Sizing
The ATR-based position size divides the maximum dollar risk per trade (portfolio value multiplied by max risk percentage) by the stop distance (2x ATR). This produces the number of units to trade such that a 2-ATR adverse move results in exactly the configured maximum loss.
4. Understanding the Visual Interface
4.1 The Dashboard
The dashboard is a 22-row, 3-column panel rendered in a Bloomberg-terminal aesthetic with a dark (#0d1117) background. It is divided into five logical sections:
Section Rows Contents
Header Row 0 Indicator name, ticker symbol, timeframe
Pattern Rows 1–3 Pattern type (Accumulation/Distribution/Neutral), current phase (A–E), confirmed event count
AI Rows 4–8 Section header, signal confidence with bar gauge (███░░), Bayesian P(Acc), P(Dist), adaptive win rate with sample count
Flow Rows 9–13 Section header, composite operator score with bar gauge, CMF value, volume ratio, market regime
VSA Rows 14–16 Section header, current VSA signal name, effort-vs-result ratio with absorption/ease label
Risk Rows 17–21 Section header, VaR ($ and %), CVaR ($ and %), half-Kelly %, ATR-based position size with stop level
Colour Coding
• Green: Bullish readings (composite > 60, CMF positive, confidence > 75%, rising metrics)
• Red: Bearish readings (composite < 40, CMF negative, risk metrics, falling metrics)
• Amber: Warning or transitional readings (medium confidence, elevated volume, VaR levels)
• Blue: Accent colour for section headers and high-confidence indicators
• Grey: Neutral or inactive readings
4.2 Phase Progress Bar
The phase progress bar sits at the bottom centre of the chart and provides an at-a-glance view of how far through the Wyckoff schematic the current pattern has progressed. It shows five cells (A through E) with the following states:
• ✓ (check mark): Phase completed
• ● (filled circle): Phase currently active
• ○ (open circle): Phase not yet reached
The left cell shows ACC or DIS with the appropriate colour, and the right cell shows the current confidence percentage.
4.3 Event Labels & Tooltips
When the engine detects a Wyckoff event and the signal quality exceeds your minimum confidence threshold, a label is placed directly on the chart. Labels appear below price for bullish events and above price for bearish events.
Element Behaviour
Label text Event abbreviation + confidence percentage (e.g., SPRING 78%)
Label colour Green for bullish events, red for bearish events, with 20% transparency
Label size Normal for quality ≥ 75%, Small for ≥ 55%, Tiny for others
Tooltip Hover over any label to see: Phase, Bayesian probability, quality score, composite score, and volume ratio
4.4 Supply/Demand Zones & Trading Range
When zones are enabled, the indicator draws three types of visual overlays:
• Accumulation Zone (blue fill): A shaded box around the trading range support level (±0.3 ATR) with a dashed border. This highlights the area where institutional buying is concentrated.
• Distribution Zone (red fill): A shaded box around the trading range resistance level (±0.3 ATR) with a dashed border. This highlights the area where institutional selling is concentrated.
• Trading Range Box (dotted outline): A rectangular box from the phase start bar to the current bar, bounded by the range high and low. This provides the overall structural context.
4.5 Trend Ribbon & VWAP
The trend ribbon is a filled area between EMA20 and EMA50. When EMA20 is above EMA50, the fill is green (bullish); when below, it is red (bearish). The SMA200 is plotted as a grey structural reference line. The VWAP (Volume Weighted Average Price) is plotted in purple and serves as an institutional benchmark: institutional traders frequently use VWAP to gauge whether they are buying below or above the day’s fair value.
4.6 VaR Risk Bands
When risk analytics are enabled, amber-shaded bands appear above and below the close price representing the daily VaR range. If price closes near the edge of these bands, it indicates the market is approaching its statistical tail risk boundary for the day. This helps traders visually assess whether a move is within normal range or represents an outlier.
4.7 Bar Coloring
The indicator applies subtle bar colouring only when a qualified event is detected, keeping the chart clean during normal market activity.
Event Type Colour Meaning
Spring / Shakeout Bright green (#39d353) Key reversal event in accumulation
UTAD Bright red (#da3633) Key reversal event in distribution
JAC (breakout) Green (#3fb950) Confirmed markup beginning
ICE Break (breakdown) Red (#f85149) Confirmed markdown beginning
Other bullish events Green (40% transparency) Supporting bullish evidence
Other bearish events Red (40% transparency) Supporting bearish evidence
No event / below threshold No colour override Chart uses default candle colours
5. Settings Reference
5.1 Core Detection
Setting Default Range Description
Volume MA Length 20 5–100 Period for the volume moving average. Lower values make volume spike detection more sensitive; higher values smooth out noise.
Range Detection Period 50 20–200 Lookback for determining the trading range (highest high / lowest low). Use 30–50 for intraday, 50–100 for daily, 100–200 for weekly.
Pivot Lookback 5 2–20 Number of bars left and right for pivot high/low detection. Lower values catch minor pivots; higher values catch major structure.
Detection Sensitivity 1.0 0.3–2.0 Global sensitivity multiplier. Increase above 1.0 for noisy markets or lower timeframes; decrease below 1.0 for clean markets.
ATR Period 14 5–50 Average True Range lookback used for stop distances, zone sizing, and volatility measurements.
5.2 Bayesian AI Engine
Setting Default Range Description
Enable AI Pattern Recognition On — Master toggle for the Bayesian probability engine. When off, the dashboard shows N/A for probability fields.
Enable Adaptive Learning On — Toggle for the signal outcome tracking system. When off, the indicator uses fixed success rate assumptions.
Learning Rate 0.08 0.01–0.5 Controls how fast the adaptive system adjusts. 0.01 = very stable (slow to change), 0.5 = very reactive (changes quickly). Recommended: 0.05–0.15.
Minimum Signal Confidence % 60 40–95 Only events with a signal quality score above this threshold generate chart labels. Higher values = fewer but higher-quality signals.
Prior: Accumulation 0.50 0.1–0.9 Starting probability for accumulation in the Bayesian engine. Set to 0.6 if you believe the broader market has a bullish bias; 0.4 for bearish bias.
5.3 Actuarial Risk
Setting Default Range Description
Enable Risk Analytics On — Master toggle for VaR, CVaR, Kelly, and position sizing calculations.
VaR Confidence % 95.0 90–99.9 Confidence level for VaR calculation. 95% is standard; 99% is conservative (used by banks).
Risk Lookback 100 50–500 Number of bars used for calculating return statistics (mean, std dev, skewness, kurtosis).
Portfolio Value ($) 100,000 1,000+ Your total portfolio value. Used to compute dollar VaR/CVaR and ATR-based position sizing.
Max Risk Per Trade % 2.0 0.5–10 Maximum percentage of portfolio value to risk on a single trade. Industry standard is 1–2%.
5.4 Display
Setting Default Description
Show Dashboard On Toggle the main 22-row info panel
Show S/D Zones On Toggle supply/demand zone boxes around support and resistance
Show Event Labels On Toggle on-chart labels for detected Wyckoff events
Show VWAP On Toggle the Volume Weighted Average Price line
Show VaR Risk Bands On Toggle the amber VaR bands around the close
Show Phase Progress On Toggle the bottom-centre phase A–E progress bar
Dashboard Position Top Right Move the dashboard to any corner (Top Right, Top Left, Bottom Right, Bottom Left)
Color Theme Dark Dark (Bloomberg-style #0d1117 background) or Light (white background)
5.5 Multi-Timeframe
Setting Default Description
Enable MTF Confluence On Toggle higher-timeframe data fetching and alignment scoring
Higher Timeframe D (Daily) The timeframe used for MTF analysis. Must be higher than the chart timeframe. Examples: 60 (1H), 240 (4H), D (Daily), W (Weekly).
6. Setting Up Alerts
The Wyckoff Institutional Engine v4.0 provides 11 pre-built alert conditions that cover every major signal type. Alerts can be delivered via popup, email, push notification, SMS (via webhook), or integrated into automated trading systems.
6.1 Available Alert Conditions
Alert Name Trigger Use Case
🟢 Spring Detected Phase C accumulation spring event Primary buy signal — potential reversal from support
🔴 UTAD Detected Phase C distribution upthrust Primary sell signal — potential reversal from resistance
🟢 Jump Across Creek Phase E accumulation breakout Confirmed markup — trend-following long entry
🔴 Break of ICE Phase E distribution breakdown Confirmed markdown — trend-following short entry
🟢 Sign of Strength Phase D strong demand event Demand exceeding supply — markup acceleration
🔴 Sign of Weakness Phase D strong supply event Supply exceeding demand — markdown acceleration
⚪ Selling Climax Phase A climactic selling exhaustion Potential downtrend exhaustion — early warning
⚪ Buying Climax Phase A climactic buying exhaustion Potential uptrend exhaustion — early warning
⭐ High Quality Signal Signal quality score exceeds 80% Highest conviction setups across all event types
🔵 SM Bull Divergence Price falling + institutional accumulating Hidden bullish divergence in smart money flow
🔵 SM Bear Divergence Price rising + institutional distributing Hidden bearish divergence in smart money flow
6.2 Step-by-Step Alert Configuration
Method 1: From the Indicator (Recommended)
1. Ensure the Wyckoff Institutional Engine v4.0 is active on your chart.
2. Right-click the indicator name in the top-left corner of the chart (or in the status line) and select “Add alert on Wyckoff Institutional Engine v4.0…”.
3. In the alert creation dialog, the “Condition” dropdown will show “Wyckoff Institutional Engine v4.0” as the source. The second dropdown will list all 11 alert conditions.
4. Select your desired alert condition (e.g., “Spring Detected”).
5. Set the “Trigger” to the appropriate firing mode. For event-based alerts, use “Any alert() function call” or “Once Per Bar Close” (recommended for avoiding intra-bar noise).
6. Configure your notification channels in the “Notifications” tab: enable the checkboxes for Popup, Email, Push (mobile app), Webhook URL, or SMS.
7. Set the alert name to include the ticker and alert type (e.g., “BTCUSD – Wyckoff Spring”).
8. Set the expiration. For ongoing monitoring, select “Open-ended” if your plan supports it, or set a future date.
9. Click “Create”.
Method 2: From the Alert Manager
1. Click the clock/bell icon in the right sidebar (or press Alt+A) to open the Alert Manager.
2. Click “Create Alert” (or the + button).
3. In the “Condition” section, select “Wyckoff Institutional Engine v4.0” from the first dropdown.
4. Select the specific alert condition from the second dropdown.
5. Follow steps 5–9 from Method 1 above.
Important: Once Per Bar Close
For the most reliable signals, always set the trigger to “Once Per Bar Close”. Intra-bar alerts may fire on conditions that reverse before the bar closes, leading to false signals. Bar-close alerts ensure the Wyckoff event has been confirmed by the completed bar.
Alert Message Customization
Each alert comes with a pre-configured message that includes the event name and a brief description. You can customise the alert message in the “Message” field of the alert dialog. TradingView supports these placeholders in alert messages:
Placeholder Output
{{ticker}} The symbol (e.g., BTCUSD)
{{exchange}} The exchange (e.g., BINANCE)
{{interval}} The chart timeframe (e.g., 60, D)
{{time}} The alert trigger time (server time)
{{close}} The closing price of the bar
{{volume}} The volume of the bar
Example Custom Message
Wyckoff {{ticker}} on {{exchange}} ({{interval}}):
Spring detected at {{close}}. Volume: {{volume}}.
Check dashboard for confidence and risk metrics.
6.3 Alert Strategies by Trading Style
Conservative (Beginners)
Focus on the single highest-quality alert to minimise false signals while you learn the system:
• Primary alert: High Quality Signal (fires only when quality > 80%)
• Supplementary: Smart Money Bull/Bear Divergence for early warning
This gives you perhaps 2–5 alerts per week on a daily chart, each representing a high-conviction setup.
Active (Intermediate)
Add event-specific alerts for the most tradeable Wyckoff events:
• Core alerts: Spring Detected + UTAD Detected (Phase C reversals)
• Confirmation: SOS + SOW (Phase D confirmation of direction)
• Breakout: Jump Across Creek + Break of ICE (Phase E entries)
This gives you comprehensive coverage of the Wyckoff cycle with approximately 5–15 alerts per week.
Aggressive (Advanced)
Enable all alerts and use the dashboard to filter in real-time:
• All 11 alerts enabled on your watchlist symbols
• Use the confidence score in the alert message to prioritise which alerts to act on
• Reduce minimum confidence to 50% in settings to see more events, then use the dashboard and tooltip data to make decisions
Institutional (Portfolio Managers)
Use webhook alerts to feed signals into your order management system or risk platform:
• Webhook URL: Point alerts to your API endpoint or middleware (e.g., TradingView webhook to Alpaca, IBKR, or custom OMS)
• Signal filtering: Use the High Quality Signal alert with a customised JSON message payload
• Multi-asset: Set up identical alert configurations across your entire universe
6.4 Webhook & Automation Setup
TradingView alerts can be sent as HTTP POST requests to any webhook URL. This enables integration with automated trading systems, Slack/Discord channels, Google Sheets logging, and custom dashboards.
Webhook Message Format (JSON)
Configure your alert message as a JSON payload for easy parsing by your receiving system:
{
"ticker": "{{ticker}}",
"exchange": "{{exchange}}",
"timeframe": "{{interval}}",
"price": {{close}},
"volume": {{volume}},
"signal": "Spring Detected",
"timestamp": "{{time}}"
}
Common Webhook Integrations
Platform Setup
Discord Create a webhook in your Discord channel settings, paste the URL into TradingView’s Webhook URL field. Format the message as a Discord-compatible JSON with a “content” field.
Slack Create an incoming webhook in your Slack workspace. Paste the webhook URL and format the message with a “text” field.
Telegram Use a Telegram bot API URL (api.telegram.org) with chat_id and text parameters.
Google Sheets Deploy a Google Apps Script web app that accepts POST requests and appends data to a spreadsheet. Paste the web app URL.
3Commas / Cornix Follow the platform’s documentation for TradingView webhook integration. Format your alert message according to their required JSON structure.
Custom API Any endpoint that accepts HTTP POST with a JSON body. Include authentication tokens in the message payload if required.
7. Trading Strategies
7.1 Conservative Strategy (Beginners)
This strategy prioritises capital preservation and only takes trades with the strongest confirmation.
Parameter Setting
Minimum Confidence 75%
Entry Trigger High Quality Signal alert only
Entry Confirmation Bayesian P(Acc) > 70% for longs, P(Dist) > 70% for shorts
Stop Loss Below the Spring low (longs) or above the UTAD high (shorts)
Take Profit 1.5x the risk distance (1.5R)
Position Size Half-Kelly or 1% of portfolio, whichever is smaller
Max Concurrent Positions 2
7.2 Active Strategy (Intermediate)
This strategy trades multiple phases of the Wyckoff cycle with moderate risk tolerance.
Parameter Setting
Minimum Confidence 60%
Entry Trigger Spring, SOS, or JAC alerts for longs; UTAD, SOW, or ICE Break for shorts
Entry Confirmation Composite Operator > 55 (longs) or < 45 (shorts) + regime not VOLATILE
Stop Loss 2x ATR from entry
Take Profit Scale out: 50% at 2R, 25% at 3R, trail remainder
Position Size ATR-based from the risk panel
Max Concurrent Positions 4–6
7.3 Aggressive Strategy (Advanced)
This strategy captures early-phase signals and trades more frequently with tighter risk management.
Parameter Setting
Minimum Confidence 50%
Entry Trigger All event alerts including SC/BC early warnings and Smart Money Divergences
Entry Confirmation At least 2 of: VSA signal, composite direction, Bayesian bias aligned
Stop Loss 1.5x ATR from entry (tight)
Take Profit Dynamic: move to breakeven at 1R, trail at 1x ATR
Position Size Full Kelly (use with caution)
Max Concurrent Positions 8–10
7.4 Institutional Strategy (Portfolio Managers)
This strategy integrates Wyckoff signals into a portfolio-level risk management framework.
Parameter Setting
Minimum Confidence 70%
Portfolio VaR Budget Allocate total portfolio VaR across positions; each new position must fit within remaining budget
Entry Filter High Quality Signal + MTF alignment > 65 + regime is RANGE or QUIET
Position Sizing CVaR-based: size positions so that each position’s CVaR contribution is equal
Correlation Adjustment Reduce position size when adding correlated assets (same sector/factor exposure)
Rebalance Trigger Rebalance when any position’s VaR exceeds 30% of its initial allocation
Exit Rules Hard stop at 2x initial CVaR; profit-take when Wyckoff phase advances past D
8. Troubleshooting & FAQ
The indicator shows “Scanning...” and no events are detected.
This means the phase state machine has not yet identified a Selling Climax (for accumulation) or Buying Climax (for distribution) to begin tracking. This is normal: Wyckoff events require specific market conditions. Wait for a climactic volume event near a range extreme, or try a different symbol that is currently in a trading range.
The confidence score seems stuck at the same value.
The confidence score updates on every bar based on the current evidence. If it appears static, it may be because the underlying factors (volume ratios, price position, smart money flow) are not changing significantly. This often happens during Phase B (building cause), which is typically a low-volatility consolidation.
The VaR and CVaR values seem too high or too low.
Check the Risk Lookback setting. A very short lookback (50 bars) captures recent volatility and may spike during volatile periods. A longer lookback (200–500 bars) smooths the calculation but may underestimate current risk. Also verify that your Portfolio Value is set correctly, as VaR is expressed in dollar terms.
Alerts are firing too frequently.
Increase the Minimum Signal Confidence threshold in settings (e.g., from 60% to 75%). You can also switch your alert trigger from “Any alert() function call” to “Once Per Bar Close” to eliminate intra-bar noise. For the most selective filtering, use only the “High Quality Signal” alert, which requires quality > 80%.
The indicator is slow to load.
The engine performs extensive calculations including Bayesian updates, higher-moment statistics, and multi-timeframe data requests. On lower timeframes (1m, 5m) with large amounts of historical data, loading may take 5–15 seconds. If performance is an issue, disable MTF Confluence, or reduce the Risk Lookback period.
Can I use this on any market?
Yes. The indicator works on any asset with volume data: stocks, ETFs, futures, forex, and crypto. For forex pairs where tick volume is used instead of real volume, the VSA and volume-based signals will be less reliable. The indicator auto-adjusts sensitivity based on the timeframe but performs best on instruments with genuine exchange volume.
The Smart Money Divergence alert fired but price kept going in the original direction.
Smart money divergences are early warnings, not immediate reversal signals. Institutional accumulation or distribution can take weeks or months to complete. Treat these alerts as a heads-up to begin watching for Phase C events (Spring/UTAD), not as standalone trade triggers.
Why does the win rate start at 50%?
The adaptive learning system initialises with a neutral 55% success rate assumption and requires actual signal outcomes to adjust. After approximately 20–30 signals (which may take weeks on a daily chart), the win rate will reflect the indicator’s actual performance on the specific symbol and timeframe you are monitoring.
9. Glossary
Term Definition
Absorption The process of large institutional orders being filled without moving price, visible as high volume with narrow spread (high effort, low result).
ADX Average Directional Index. Measures trend strength on a 0–100 scale. Above 25 indicates a trending market; below 20 indicates a ranging market.
AR (Automatic Rally/Reaction) A sharp counter-move following a Selling or Buying Climax, establishing the other boundary of the trading range.
ATR Average True Range. Measures volatility as the average of high-low ranges over N periods.
Bayesian Probability A statistical method that updates the probability of a hypothesis (accumulation vs distribution) as new evidence becomes available.
BC (Buying Climax) A wide-spread, ultra-high-volume bar near the top of an uptrend, indicating buying exhaustion and the beginning of potential distribution.
CMF Chaikin Money Flow. A volume-weighted buying/selling pressure indicator ranging from -1 to +1.
Composite Operator Wyckoff’s concept of the “smart money”—the aggregate activity of institutional traders who manipulate price to accumulate or distribute positions.
Cornish-Fisher Expansion A mathematical correction that adjusts VaR calculations for non-normal return distributions by incorporating skewness and kurtosis.
Creek The resistance level at the top of an accumulation trading range. “Jumping across the creek” means breaking above resistance.
CVaR (Expected Shortfall) The average expected loss in the tail beyond the VaR threshold. Captures extreme risk that VaR misses.
EVR Effort vs Result ratio. Effort = volume ratio, Result = spread ratio. Low EVR with high volume = absorption.
ICE The support level at the bottom of a distribution trading range. “Breaking the ICE” means falling below support.
JAC (Jump Across Creek) A decisive bullish breakout above the trading range resistance in Phase E of accumulation.
Kelly Criterion A formula that determines the optimal fraction of capital to risk on a trade: K = (W×R - L) / R, where W = win rate, L = loss rate, R = reward/risk ratio.
Likelihood Ratio The ratio of the probability of observing evidence under one hypothesis versus another. Used in Bayesian updating.
LPS (Last Point of Support) The final pullback to support during Phase D of accumulation, confirmed by declining volume.
LPSY (Last Point of Supply) The final rally to resistance during Phase D of distribution, confirmed by declining volume.
MFI Money Flow Index. A volume-weighted version of RSI that ranges from 0 to 100.
OBV On-Balance Volume. A cumulative volume indicator that adds volume on up days and subtracts on down days.
SC (Selling Climax) A wide-spread, ultra-high-volume bar near the bottom of a downtrend, indicating selling exhaustion and the beginning of potential accumulation.
Shakeout A deep spring where price penetrates well below support with high volume before recovering strongly. More severe than a standard spring.
SOS (Sign of Strength) A strong bullish move during Phase D of accumulation, confirming that demand is overwhelming supply.
SOW (Sign of Weakness) A strong bearish move during Phase D of distribution, confirming that supply is overwhelming demand.
Spring A brief break below trading range support in Phase C that is quickly reversed, designed to shake out weak holders before markup.
ST (Secondary Test) A return to the area of the climax on reduced volume, confirming that supply (or demand) has been absorbed.
UTAD (Upthrust After Distribution) A brief break above trading range resistance in Phase C that fails, designed to trap breakout buyers before markdown.
VaR (Value at Risk) The maximum expected loss at a given confidence level over one period. 95% VaR = the loss that will not be exceeded 95% of the time.
VSA Volume Spread Analysis. A method of reading the relationship between volume, spread, and close position to identify institutional activity.
VWAP Volume Weighted Average Price. The average price weighted by volume, used as an institutional execution benchmark.
Pine Script® Indikator
Pine Script® Indikator
120 Candle LookbackLooks back 120 candles v1
Not much more to say but they wont let me publish unless i type so
Please ignore this and let me know for any adjustments
Pine Script® Indikator
9 EMA Full Candle Highlight (Bars Only)This indicator highlights individual candles that close completely above or completely below the 9 EMA.
A candle turns yellow only when the entire candle (body and wicks) is fully on one side of the 9 EMA:
• Fully above EMA → low is above the 9 EMA
• Fully below EMA → high is below the 9 EMA
Candles that touch or cross the EMA are ignored.
Only the specific candle bar is colored — no background shading, no columns, and no extra signals — keeping the chart clean and distraction-free.
Purpose
Designed for simple, rule-based trading with minimal decisions. It visually marks strong momentum candles while filtering out chop around the EMA.
How to use
• Yellow candle above → bullish momentum
• Yellow candle below → bearish momentum
• No highlight → no clear edge
Best used on:
• 5-minute charts
• SPY / highly liquid ETFs
• Trend-following strategies
Pine Script® Indikator
Full Candle 9 EMA HighlightThis indicator highlights momentum candles based on their complete position relative to the 9 EMA.
A candle is highlighted yellow only when it closes entirely above or entirely below the 9 EMA:
Fully above: the candle’s low is above the EMA
Fully below: the candle’s high is below the EMA
Candles that touch or cross the EMA are ignored, helping filter out chop and indecision.
Purpose
The goal is to reduce decision-making and visually isolate clean momentum conditions using a single indicator.
How to use
Yellow candle above the EMA → bullish momentum
Yellow candle below the EMA → bearish momentum
No highlight → stay out
Designed for:
5-minute charts
SPY / liquid index ETFs
Simple, rule-based trading
Minimal indicators and minimal discretion
This indicator is meant to be used as a visual guide, not a prediction tool. It works best during strong intraday trends and should be avoided during sideways market conditions.
Pine Script® Indikator
5M 9EMA Entry & ExitThis indicator highlights high-probability trend shifts using only one rule: how a full candle closes relative to the 9 EMA.
The goal is to remove decision-making and create a clean, mechanical system.
How it works:
• A candle is considered fully under the 9 EMA when its high is below the EMA
→ Signals downside momentum
→ Highlighted as a potential short entry
• A candle is considered fully above the 9 EMA when its low is above the EMA
→ Signals upside momentum
→ Highlighted as a potential exit (or long entry)
The script:
• Plots the 9 EMA
• Highlights entry candles in red
• Highlights exit candles in green
• Optionally supports alerts
Trading logic (simple mode):
Wait for a full candle close completely under the 9 EMA → Enter puts/short
Stay in trade while candles remain below
Exit when a candle closes fully above the 9 EMA
Repeat
Designed for:
• SPY options
• 5-minute timeframe
• Low decision trading
• Quick trend continuation moves
• Minimal indicators, minimal thinking
This system avoids chop by requiring the entire candle body and wick to clear the EMA, reducing false signals and keeping trades aligned with momentum.
Best results during:
• First 2–3 hours after market open
• Strong trend days
• Avoiding midday sideways conditions
Pine Script® Indikator
GOLD KEY LEVELSKEY LEVELS GOLD
Find by change the number for 25 all the most probably places where you can expecte a reversal in price
Pine Script® Indikator
MSTR Power Law by Financial 6-Pack | itsToghrulThis indicator models MicroStrategy's stock price using a proprietary power law framework that accounts for Bitcoin's adoption curve and MSTR's unique position as a leveraged Bitcoin treasury company.
Overview
The indicator calculates three key price levels based on time-elapsed growth patterns and asymmetric volatility bands:
- Fair Value (Light Blue): The theoretical equilibrium price based on Bitcoin's long-term adoption trajectory
- Resistance (Dark Blue): Dynamic upper band that tightens over time as volatility compresses with market maturity
- Support (White): Lower boundary representing extreme oversold conditions
Key Features
- Historical Overlay: Valid from August 10, 2020 (MSTR's Bitcoin treasury strategy inception)
- Future Projection: Dashed lines extend 2 years forward showing expected price corridors
- Dynamic Dashboard: Displays target date valuations with customizable inputs
- Current Bias Indicator: Shows whether price is trading above or below fair value
- Auto-Decaying Resistance: Upper band compresses exponentially as asset matures, reflecting reduced volatility over time
- Customizable Aesthetics: Full control over colors, opacity, and table styling
How to Use
The indicator works best for:
- Identifying structural support and resistance zones
- Timing entries during corrections to fair value
- Understanding MSTR's premium/discount to its theoretical trajectory
- Setting long-term price targets based on mathematical growth models
- Avoiding overvalued entry points during euphoria phases
Interpretation
- Price above fair value: Premium conditions - exercise caution on new entries
- Price at fair value: Trading in line with mathematical expectation
- Price below fair value: Discount opportunity - historically reverts to fair value
- Price near support: Extreme oversold - highest probability reversal zone
- Price near resistance: Overheated - consider profit-taking or position reduction
Important Notes
This model assumes MSTR maintains its Bitcoin treasury strategy (it keeps buying and holding without selling) and current operational structure. Fundamental changes to the company's approach, significant dilution events, or major strategic pivots may temporarily impact model accuracy.
Pine Script® Indikator
NAs100 buy/sell alert (INDICATOR)NAS100 Buy/Sell Alert Indicator is a real-time execution-focused trading tool designed for traders who want accurate signals without backtesting assumptions.
Unlike strategies that rely on simulated order execution, this indicator works purely on live price action, detecting buy and sell signals, take-profit, and stop-loss events based on actual candle highs and lows.
🔍 Key Features
✅ Buy & Sell Signals based on momentum and volatility (ATR)
⏱️ Trading Session & Day Filters (custom hours and weekdays)
🚫 One Trade at a Time Logic
No new signals are generated while a trade is still active
🎯 Visual Take Profit & Stop Loss Levels
🔔 Alerts for Entry, Take Profit, and Stop Loss
⚡ Instant Touch Alerts (optional, without waiting for candle close)
🧠 No Backtesting Assumptions
Signals are generated only from real candle data
🎯 Why This Indicator?
Most strategies assume what happens inside a candle, which can lead to false stop-loss or take-profit results in backtests.
This indicator avoids that issue by:
Not using strategy execution
Not simulating orders
Reacting only to actual price touches
As a result, alerts are closer to real market behavior, making it ideal for:
Manual trading
Webhook automation
MT4 / MT5 bridge execution
⚙️ Customization Options
Take Profit & Stop Loss distance (points)
Momentum length
ATR filter strength
Trading days & hours
Enable / disable visual signals
Enable / disable alerts
⚠️ Important Notes
This is an indicator, not a strategy
It does not calculate backtest performance
Best used for forward testing and live trading
Recommended timeframe: 1 minute or lower for maximum accuracy
🧩 Who Is This For?
Traders who rely on alerts instead of backtests
Users automating trades via webhooks
Traders who want clean, honest signals
NAS100 / US100 index traders
Pine Script® Indikator
