Painel Técnico — Múltiplos TFs (5m,15m,1h,4h,1D) BrenoGtechnical table with inflection points that help me buy
Forecasting
TAKEPROFITS SECRET SAUCE V4Plots daily 4hr 1kr and 15min levels
adjustable colors
This indicator auto plots for you
Swing High/Low SignalsSwing High/Low Signals – profit gang
Quickly spot recent market turning points with this clean swing high/low indicator.
Marks swing highs & lows with labels or triangles
Optional connecting lines & background highlights
Alerts when new swings form
Info table showing last swing levels & current price
Fully adjustable lookback period for any timeframe.
Disclaimer: For educational use only. Not financial advice.
Wickless Precision IndicatorThe Wickless Precision Indicator is a powerful tool designed to identify and highlight wickless and tailless candlestick patterns on your TradingView charts. A wickless candle, where the open or close price equals the high or low, signals strong directional momentum and potential support or resistance levels. This indicator automatically detects these unique candles, drawing customizable horizontal lines at their key price levels to help traders spot critical zones for entries, exits, or reversals.
Key Features:
Automatic Wickless Detection: Identifies bullish (no lower wick) and bearish (no upper wick) candles with precision.
Dynamic Line Plotting: Draws horizontal lines at the high or low of wickless candles, extending until price interaction or user-defined conditions.
Customizable Settings: Adjust line styles, colors, and sensitivity thresholds to suit your trading style.
Visual Markers: Highlights wickless candles with distinct shapes (e.g., triangles or crosses) for easy identification.
Alert Integration: Set real-time alerts to stay notified when wickless candles form, ensuring you never miss a potential trading opportunity.
Use Cases:
Pinpoint strong support/resistance zones where price rejection is evident.
Identify high-probability entry or exit points based on momentum-driven candles.
Enhance price action strategies with clear visual cues for market sentiment shifts.
Perfect for traders seeking to capitalize on clean, wickless price movements, the Wickless Precision Indicator simplifies technical analysis and boosts trading confidence.
CoinSidual SR Top3What it does
Plots up to 3 Resistance (red) and 3 Support (green) zones using confirmed swing highs/lows. Nearby levels are clustered by tolerance (bps) to avoid duplicates. Lines extend left/right and auto-update.
Inputs
• Swing Length – pivot lookback/forward
• Lookback Bars – analysis window size
• Cluster Tolerance (bps) – merge distance
• Line Extend Bars – label/line span
• Show R/S Labels – toggle labels
Notes
Works on any symbol/timeframe. No alerts. For educational use only.
Entropy (Fiedor/Kontoyiannis) - Part 2 of Fiedor's TheoryThis indicator estimates the Shannon entropy of a price series using a Markov chain model of binary returns, following the approach of Fiedor (2014) and Kontoyiannis (1997).
% of Max shows current entropy as a percentage of its theoretical maximum (1 bit for binary up/down moves).
Percentile ranks the current entropy against historical values in the chosen lookback window.
High entropy suggests price movement is less predictable by frequentist models; low entropy implies more structure and predictability.
Use this as an informational oscillator, not a trading signal.
This is a visualization of Part 1 of Fiedor's Theory. The same entropy logic is already embedded in Part 1 however the second pane is a nice reminder of why it works.
GLD GC Price Converter Its primary function is to fetch the prices of the Gold ETF (ticker: GLD) and Gold Futures (ticker: GC1!) and then project significant price levels from one or both of these assets onto the chart of whatever instrument you are currently viewing.
Core Functionality & Features
Dual Asset Tracking: The script simultaneously tracks the prices of GLD and Gold Futures (GC).
Dynamic Price Level Projection: The script's main feature is its ability to calculate and draw horizontal price levels. It determines a "base price" (e.g., the nearest $100 level for GC) and then draws lines at specified increments above and below it. The key is that these levels are projected onto the current chart's price scale.
On-Chart Information Display:
Price Table: A customizable table can be displayed in any corner of the chart, showing the current prices of GLD and GC. It can also show the daily percentage change for GC, colored green for positive changes and red for negative ones.
Last Price Label: It can show a label next to the most recent price bar that displays the current prices of both GLD and GC.
Extensive Customization: The user has significant control over the indicator's appearance and behavior through the settings panel.
This includes:
Toggling the display for GLD and GC levels independently.
Adjusting the multiplier for the price levels (e.g., show levels every $100 or $50 for GC).
Changing the colors, line styles (solid, dashed, dotted), and horizontal offset for the labels.
Defining the number of price levels to display.
Controlling the text size for labels and the table.
Choosing whether the script updates on every tick or only once per candle close for better performance.
Latent Regime Informed Monte Carlo ForecastThis script uses a Monte Carlo simulation to forecast where price might be a set number of bars into the future (default 6 bars ahead). It generates hundreds of possible future price paths based on an average move (drift) and random shocks (volatility). The result is a distribution of outcomes, displayed as probability zones: the median (most likely), inner bands (50% confidence), and wider bands (80% and 95% confidence). Due to the randomness assumption in Monte Carlo simulations, the paths are not very important so to minimize cluttering on the graphs we only plot bands. These zones help you visualize uncertainty, set stops and targets based on probabilities, and spot when market behavior changes.
The accuracy of any Monte Carlo forecast depends heavily on how well you estimate trend and volatility. By default and no prior information the Monte Carlo simulation gives you a parabolic forecast that assumes absolute randomness. This is where the Kalman filter comes in. The filter (derived from control theory) aims to detect latent (unobservable) traits about the system by continuously updating its transition probabilities to better understand how the latent traits affect the observable measurement (price). With each new observable state we get better and better transition probabilities and enhances our understanding about the latent and unobservable market characteristics like trend and volatility. Both crucial measurements for short term market sentiment.
Extracting these measurements for market sentiment informs us how to better parametrize the Monte Carlo simulation for a better forecast. Each bar, the KF updates its estimates based on how close its last prediction was to reality. In calm periods, it holds estimates steady; in volatile periods, it adapts quickly. This gives you real-time, low-lag measurements of both trend and volatility.
By feeding these adaptive estimates into the Monte Carlo simulation, the forecast becomes much more responsive to current market conditions. In trends, the predicted paths tilt toward the direction of movement; in choppy markets, they spread wider but stay centered; when volatility spikes, the probability zones expand immediately. The result is a dynamic forecast tool that adjusts on every bar, giving you a clearer, probability-based picture of where the market could go next.
This is my very first script and I would love feedback/ideas for different topics.
My background is in economics/mathematics and interests lie in time series analysis/exploring financial features for DS
JOSITOThis indicator marks equal points that XAU will go to reach; it doesn’t work on other pairs, but on XAU it is quite accurate.
Preguntar a ChatGPT
Thors Economic NewsThe Live Economic Calendar indicator seamlessly integrates with external news sources to provide real-Time, upcoming, and past financial news directly on your Tradingview chart.
By having a clear understanding of when news are planned to be released, as well as their respective impact, analysts can prepare their weeks and days in advance. These injections of volatility can be harnessed by analysts to support their thesis, or may want to be avoided to ensure higher probability market conditions. Fundamentals and news releases transcend the boundaries of technical analysis, as their effects are difficult to predict or estimate.
Designed for both novice and experienced traders, the Live Economic Calendar indicator enhances your analysis by keeping you informed of the latest and upcoming market-moving news.
ZoneShift+StochZ+LRO + AI Breakout Bands [Combined]This composite Pine Script brings together four powerful trend and momentum tools into a single, easy-to-read overlay:
ZoneShift
Computes a dynamic “zone” around price via an EMA/HMA midpoint ± average high-low range.
Flags flips when price closes convincingly above or below that zone, coloring candles and drawing the zone lines in bullish or bearish hues.
Stochastic Z-Score
Converts your chosen price series into a statistical Z-score, then runs a Stochastic oscillator on it and HMA-smooths the result.
Marks momentum flips in extreme over-sold (below –2) or over-bought (above +2) territory.
Linear Regression Oscillator (LRO)
Builds a bar-indexed linear regression, normalizes it to standard deviations, and shows area-style up/down coloring.
Highlights local reversals when the oscillator crosses its own look-back values, and optionally plots LRO-colored candles on price.
AI Breakout Bands (Kalman + KNN)
Applies a Kalman filter to price, smooths it further with a KNN-weighted average, then measures mean-absolute-error bands around that smoothed line.
Colors the Kalman trend line and bands for bullish/bearish breaks, giving you a data-driven channel to trade.
Composite Signals & Alerts
Whenever the ZoneShift flip, Stoch Z-Score flip, and LRO reversal all agree and price breaks the AI bands in the same direction, the script plots a clear ▲ (bull) or ▼ (bear) on the chart and fires an alert. This triple-confirmation approach helps you zero in on high-probability reversal points, filtering out noise and combining trend, momentum, and statistical breakout criteria into one unified signal.
Standard Deviation BandsStandard Deviation Bands
คำอธิบายอินดิเคเตอร์:
อินดิเคเตอร์ SD Bands (Standard Deviation Bands) เป็นเครื่องมือวิเคราะห์ทางเทคนิคที่ออกแบบมาเพื่อวัดความผันผวนของราคาและระบุโอกาสในการเทรดที่อาจเกิดขึ้น อินดิเคเตอร์นี้จะแสดงผลเป็นเส้นขอบ 2 เส้นบนกราฟราคาโดยตรง โดยอ้างอิงจากค่าเฉลี่ยเคลื่อนที่ (Moving Average) และค่าส่วนเบี่ยงเบนมาตรฐาน (Standard Deviation)
* เส้นบน (Upper Band): แสดงระดับที่ราคาเคลื่อนไหวสูงกว่าค่าเฉลี่ย
* เส้นล่าง (Lower Band): แสดงระดับที่ราคาเคลื่อนไหวต่ำกว่าค่าเฉลี่ย
ความกว้างของช่องระหว่างเส้นทั้งสองบ่งบอกถึงระดับความผันผวนของตลาดในปัจจุบัน
วิธีการใช้งานอย่างละเอียด:
คุณสามารถนำอินดิเคเตอร์ SD Bands ไปประยุกต์ใช้ได้หลายวิธีเพื่อประกอบการตัดสินใจ ดังนี้:
1. การใช้เป็นแนวรับ-แนวต้านแบบไดนามิก (Dynamic Support & Resistance)
* แนวรับ: เมื่อราคาวิ่งลงมาแตะหรือเข้าใกล้เส้นล่าง (เส้นสีน้ำเงิน) เส้นนี้อาจทำหน้าที่เป็นแนวรับชั่วคราวและมีโอกาสที่ราคาจะเด้งกลับขึ้นไปหาเส้นกลาง
* แนวต้าน: เมื่อราคาวิ่งขึ้นไปแตะหรือเข้าใกล้เส้นบน (เส้นสีแดง) เส้นนี้อาจทำหน้าที่เป็นแนวต้านชั่วคราวและมีโอกาสที่ราคาจะย่อตัวลงมา
2. การวัดความผันผวนและสัญญาณ Breakout
* ช่วงตลาดสงบ (Low Volatility): เมื่อเส้น SD ทั้งสองเส้นบีบตัวเข้าหากันเป็นช่องที่แคบมาก (คล้ายกับ Bollinger Squeeze) แสดงว่าตลาดมีความผันผวนต่ำมาก ซึ่งมักจะเป็นสัญญาณว่ากำลังจะเกิดการเคลื่อนไหวครั้งใหญ่ (Breakout)
* ช่วงตลาดเป็นเทรนด์ (High Volatility): เมื่อเส้น SD ขยายตัวกว้างออกอย่างรวดเร็ว พร้อมกับที่ราคาวิ่งอยู่นอกขอบ แสดงว่าตลาดเข้าสู่ช่วงเทรนด์ที่แข็งแกร่งและมีโมเมนตัมสูง
3. สัญญาณการกลับตัว (Reversal Signals)
* เมื่อราคาปิดแท่งเทียน นอกเส้น SD Bands อย่างชัดเจน (โดยเฉพาะหลังจากที่เทรนด์นั้นดำเนินมานาน) อาจเป็นสัญญาณว่าแรงซื้อ/แรงขายเริ่มอ่อนกำลังลง และมีโอกาสที่จะเกิดการกลับตัวของราคาในไม่ช้า
การตั้งค่าอินพุต (Input Parameters):
* ระยะเวลา (Length): กำหนดจำนวนแท่งเทียนที่ใช้ในการคำนวณค่าเฉลี่ยและ SD
* 20: สำหรับการวิเคราะห์ระยะสั้นถึงกลาง
* 50 หรือ 100: สำหรับการวิเคราะห์ระยะยาว
* ตัวคูณ (Multiplier): กำหนดระยะห่างของเส้น SD จากค่าเฉลี่ย
* 1.0 - 2.0: เส้นจะอยู่ใกล้ราคามากขึ้น ทำให้เกิดสัญญาณบ่อยขึ้น
* 2.0 - 3.0: เส้นจะอยู่ห่างจากราคามากขึ้น ทำให้เกิดสัญญาณที่น่าเชื่อถือมากขึ้น แต่จะเกิดไม่บ่อย
ข้อควรระวังและคำเตือน:
* อินดิเคเตอร์นี้เป็นเพียง เครื่องมือวิเคราะห์ เพื่อช่วยในการตัดสินใจ ไม่ใช่สัญญาณการซื้อขายที่ถูกต้อง 100%
* ควรใช้ร่วมกับเครื่องมืออื่นๆ เช่น RSI, MACD, หรือ Volume เพื่อยืนยันสัญญาณ
* การเทรดมีความเสี่ยงสูง ควรบริหารจัดการความเสี่ยงและตั้งจุด Stop Loss ทุกครั้ง
คุณสามารถใช้โครงสร้างนี้ในการเขียนโพสต์บน TradingView ได้เลยนะครับ ขอให้ประสบความสำเร็จกับการโพสต์อินดิเคเตอร์ของคุณครับ!
English
Standard Deviation Bands
Indicator Description:
The SD Bands (Standard Deviation Bands) indicator is a powerful technical analysis tool designed to measure price volatility and identify potential trading opportunities. The indicator displays two dynamic bands directly on the price chart, based on a moving average and a customizable standard deviation multiplier.
* Upper Band: Indicates price levels above the moving average.
* Lower Band: Indicates price levels below the moving average.
The width of the channel between these two bands provides a clear picture of current market volatility.
Detailed User Guide:
You can use SD Bands in several ways to enhance your trading decisions:
1. Dynamic Support and Resistance:
These bands can act as dynamic support and resistance levels.
* Support: When the price moves down and touches or approaches the lower band, it can act as support, offering the possibility of a rebound to the average.
* Resistance: When the price moves up and touches or approaches the upper band, it can act as resistance, offering the possibility of a rebound.
2. Volatility Measurement and Breakout Signals:
* Low Volatility (Squeeze): When the two bands converge and form a narrow channel. Indicates very low market volatility. This condition often occurs before significant price movements or breakouts.
* High Volatility (Expansion): When the bands expand and widen rapidly, it indicates that the market is entering a period of strong trending momentum with high momentum.
3. Reversal Signals:
* When the price closes significantly outside the SD Bands (especially after a long-term trend), it may signal that the current momentum has expired and a reversal may be imminent.
Input Parameters:
The indicator's parameters are fully customizable to suit your trading style:
* Length: Defines the number of bars used to calculate the moving average and standard deviation.
* 20: Suitable for short- to medium-term analysis.
* 50 or 100: Suitable for long-term trend analysis.
* Multiplier: Adjusts the sensitivity of the signal bars.
* 1.0 - 2.0: Creates narrower signal bars, leading to more frequent signals.
* 2.0 - 3.0: Creates wider signal bars, providing fewer but potentially more significant signals.
Important Warning:
* This indicator is an analytical tool only. It does not provide guaranteed buy or sell signals.
* Always use it in conjunction with other indicators (such as RSI, MACD, and Volume) for confirmation.
* Trading involves high risk. Proper risk management, including the use of stop-loss orders, is recommended.
You can use this structure for your posts on TradingView. Good luck with your indicators!
RS Ratio vs Benchmark (Colored)📈 RS Ratio vs Benchmark (with Color Change)
A simple but powerful tool to track relative strength against a benchmark like QQQ, SPY, or any other ETF.
🔍 What it Shows
RS Ratio (orange line): Measures how strong a stock is relative to a benchmark.
Moving Average (teal line): Smooths out RS to show trend direction.
Color-coded RS Line:
🟢 Green = RS is above its moving average → strength is increasing.
🔴 Red = RS is below its moving average → strength is fading.
📊 How to Read It
Above 100 = Stock is outperforming the benchmark.
Below 100 = Underperforming.
Rising & Green = Strongest signal — accelerating outperformance.
Above 100 but Red = Consolidating or losing momentum — potential rest period.
Crosses below 100 = Warning sign — underperformance.
✅ Best Uses
Spot leading stocks with strong momentum vs QQQ/SPY.
Identify rotation — when strength shifts between sectors.
Time entries and exits based on RS trends and crossovers.
ORB Scalp setup by Unenbat With Signal**ORB Scalp Setup by Unenbat with Signal**
This indicator visualizes a custom Opening Range Breakout (ORB) strategy using a 6-minute range split across the end of one hour and the start of the next. It identifies two key trade setups using 1-hour candles:
* **Reverse Signals:** Triggered when the second 1H candle breaks the previous high/low but closes back inside, signaling a reversal.
* **Continuation Signals:** Triggered when the second 1H candle breaks and closes beyond the previous candle’s range, confirming trend continuation.
SL/TP zones are plotted accordingly, with optional fill coloring. No trades are displayed during "inside bars" or "manipulation" candles.
Auto Trendlines with Break AlertsIdentify the two most recent significant swing highs and swing lows based on a customizable pivot length.
Draw trendlines extending from these points.
Provide an optional visual signal (a small diamond on the chart) and a alertcondition for sound/push notifications when a trendline is broken.
Configure: Once the indicator is on your chart, you can click on the gear icon (⚙️) next to its name to adjust the settings. You will see a checkbox to enable/disable alerts and a slider to change the pivot length.
Configuring Alerts in TradingView
The alertcondition lines in the code allow you to set up official TradingView alerts for sound and push notifications.
Create an Alert: Click the clock icon (⏰) on the right-side toolbar of your TradingView chart.
Set the Condition: In the "Condition" field, select the name of the indicator: "Auto Trendlines with Break Alerts".
Choose the Alert Type: A second dropdown will appear. Select either "High Trendline Broken" or "Low Trendline Broken" to specify which break you want to be alerted for.
Select Notification Options: In the "Notifications" section, you can check the boxes for "Play sound," "Send email," "Send push notification," etc.
Create the Alert: Click "Create" to save your alert.
ACR(Average Candle Range) With TargetsWhat is ACR?
The Average Candle Range (ACR) is a custom volatility metric that calculates the mean distance between the high and low of a set number of past candles. ACR focuses only on the actual candle range (high - low) of specific past candles on a chosen timeframe.
This script calculates and visualizes the Average Candle Range (ACR) over a user-defined number of candles on a custom timeframe. It displays a table of recent range values, plots dynamic bullish and bearish target levels, and marks the start of each new candle with a vertical line. All calculations update in real time as price action develops. This script was inspired by the “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees.
Key Features
Custom Timeframe Selection: Choose any timeframe (e.g., 1D, 4H, 15m) for analysis.
User-Defined Lookback: Calculate the average range across 1 to 10 previous candles.
Dynamic Targets:
Bullish Target: Current candle low + ACR.
Bearish Target: Current candle high – ACR.
Live Updates: Targets adjust intrabar as highs or lows change during the current candle.
Candle Start Markers: Vertical lines denote the open of each new candle on the selected timeframe.
Floating Range Table:
Displays the current ACR value.
Lists individual ranges for the previous five candles.
Extend Target Lines: Choose to extend bullish and bearish target levels fully across the screen.
Global Visibility Controls: Toggle on/off all visual elements (targets, vertical lines, and table) for a cleaner view.
How It Works
At each new candle on the user-selected timeframe, the script:
Draws a vertical line at the candle’s open.
Recalculates the ACR based on the inputted previous number of candles.
Plots target levels using the current candle's developing high and low values.
Limitation
Once the price has already moved a full ACR in the opposite direction from your intended trade, the associated target loses its practical value. For example, if you intended to trade long but the bearish ACR target is hit first, the bullish target is no longer a reliable reference for that session.
Use Case
This tool is designed for traders who:
Want to visualize the average movement range of candles over time.
Use higher or lower timeframe candles as structural anchors.
Require real-time range-based price levels for intraday or swing decision-making.
This script does not generate entry or exit signals. Instead, it supports range awareness and target projection based on historical candle behavior.
Key Difference from Similar Tools
While this script was inspired by “ICT ADR Levels - Judas x Daily Range Meter°” by toodegrees, it introduces a major enhancement: the ability to customize the timeframe used for calculating the range. Most ADR or candle-range tools are locked to a single timeframe (e.g., daily), but this version gives traders full control over the analysis window. This makes it adaptable to a wide range of strategies, including intraday and swing trading, across any market or asset.
Daily Manipulation Probability Dashboard📜 Summary
Tired of getting stopped out on a "Judas Swing" just before the price moves in your intended direction? This indicator is designed to give you a statistical edge by quantifying the daily manipulation move.
The Daily Manipulation Probability Dashboard analyzes thousands of historical trading days to reveal the probability of the initial "stop-hunt" or "fakeout" move reaching certain percentage levels. It presents this data in a clean, intuitive dashboard right on your chart, helping you make more data-driven decisions about stop-loss placement and entry timing.
🧠 The Core Concept
The logic is simple but powerful. For every trading day, we measure two things:
Amplitude Above Open (AAO): The distance price travels up from the daily open (High - Open).
Amplitude Below Open (ABO): The distance price travels down from the daily open (Open - Low).
The indicator defines the "Manipulation" as the smaller of these two moves. The idea is that this smaller move often acts as a liquidity grab to trap traders before the day's primary, larger move ("Distribution") begins.
This tool focuses exclusively on providing deep statistical insight into this crucial manipulation phase.
🛠️ How to Use This Tool
This dashboard is designed to be a practical part of your daily analysis and trade planning.
1. Smarter Stop-Loss Placement
This is the primary use case. The "Prob. (%)" column tells you the historical chance of the manipulation move being at least a certain size.
Example: If the table shows that for EURUSD, the ≥ 0.25% level has a probability of 30%, you can flip this information: there is a 70% probability that the daily manipulation move will be less than 0.25%.
Action: Placing your stop-loss just beyond a level with a low probability gives you a statistically sound buffer against typical stop-hunts.
2. Entry Timing and Patience
The live arrow (→) shows you where the current day's manipulation falls.
Example: If the arrow is pointing at ≥ 0.10% and you know there is a high probability (e.g., 60%) of the manipulation reaching ≥ 0.20%, you might wait for a deeper pullback before entering, anticipating that the "Judas Swing" hasn't completed yet.
3. Assessing Daily Character
Quickly see if the current day's action is unusual. If the manipulation move is already in a very low probability zone (e.g., > 1.00%), it might indicate that your Bias is wrong, or signal a high-volatility day or a potential trend reversal.
📊 Understanding the Dashboard
Ticker: The top-right shows the current symbol you are analyzing.
→ (Arrow): Points to the row that corresponds to the current, live day's manipulation amplitude.
Manip. Level: The percentage threshold being analyzed (e.g., ≥ 0.20%).
Days Analyzed: The raw count of historical days where the manipulation move met or exceeded this level.
Prob. (%): The key statistic. The cumulative probability of the manipulation move being at least the size of the level.
⚙️ Settings
Position: Choose where you want the dashboard to appear on your chart.
Text Size: Adjust the font size for readability.
Max Historical Days to Analyze: Set the number of past daily candles to include in the statistical analysis. A larger number provides a more robust sample size.
I believe this tool provides a unique, data-driven edge for intraday traders across all markets (Forex, Crypto, Stocks, Indices). Your feedback and suggestions are highly welcome!
- @traderprimez
Ayman – Full Smart Suite Auto/Manual Presets + PanelIndicator Name
Ayman – Full Smart Suite (OB/BoS/Liq/FVG/Pin/ADX/HTF) + Auto/Manual Presets + Panel
This is a multi-condition trading tool for TradingView that combines advanced Smart Money Concepts (SMC) with classic technical filters.
It generates BUY/SELL signals, draws Stop Loss (SL) and Take Profit (TP1, TP2) levels, and displays a control panel with all active settings and conditions.
1. Main Features
Smart Money Concepts Filters:
Order Block (OB) Zones
Break of Structure (BoS)
Liquidity Sweeps
Fair Value Gaps (FVG)
Pin Bar patterns
ADX filter
Higher Timeframe EMA filter (HTF EMA)
Two Operating Modes:
Auto Presets: Automatically adjusts all settings (buffers, ATR multipliers, RR, etc.) based on your chart timeframe (M1/M5/M15).
Manual Mode: Fully customize all parameters yourself.
Trade Management Levels:
Stop Loss (SL)
TP1 – partial profit
TP2 – full profit
Visual Panel showing:
Current settings
Filter status
Trend direction
Last swing levels
SL/TP status
Alerts for BUY/SELL conditions
2. Entry Conditions
A BUY signal is generated when all these are true:
Trend: Price above EMA (bullish)
HTF EMA: Higher timeframe trend also bullish
ADX: Trend strength above threshold
OB: Price in a valid bullish Order Block zone
BoS: Structure break to the upside
Liquidity Sweep: Sweep of recent lows in bullish context
FVG: A bullish Fair Value Gap is present
Pin Bar: Bullish Pin Bar pattern detected (if enabled)
A SELL signal is generated when the opposite conditions are met.
3. Stop Loss & Take Profits
SL: Placed just beyond the last swing low (BUY) or swing high (SELL), with a small ATR buffer.
TP1: Partial profit target, defined as a ratio of the SL distance.
TP2: Full profit target, based on Reward:Risk ratio.
4. How to Use
Step 1 – Apply Indicator
Open TradingView
Go to your chart (recommended: XAUUSD, M1/M5 for scalping)
Add the indicator script
Step 2 – Choose Mode
AUTO Mode: Leave “Use Auto Presets” ON – parameters adapt to your timeframe.
MANUAL Mode: Turn Auto OFF and adjust all lengths, buffers, RR, and filters.
Step 3 – Filters
In the Filters On/Off section, enable/disable specific conditions (OB, BoS, Liq, FVG, Pin Bar, ADX, HTF EMA).
Step 4 – Trading the Signals
Wait for a BUY or SELL arrow to appear.
SL and TP levels will be plotted automatically.
TP1 can be used for partial close and TP2 for full exit.
Step 5 – Alerts
Set alerts via BUY Signal or SELL Signal to receive notifications.
5. Best Practices
Scalping: Use M1 or M5 with AUTO mode for gold or forex pairs.
Swing Trading: Use M15+ and adjust buffers/ATR manually.
Combine with price action confirmation before entering trades.
For higher accuracy, wait for multiple filter confirmations rather than acting on the first arrow.
6. Summary Table
Feature Purpose Can Disable?
Order Block Finds key supply/demand zones ✅
Break of Structure Detects trend continuation ✅
Liquidity Sweep Finds stop-hunt moves ✅
Fair Value Gap Confirms imbalance entries ✅
Pin Bar Price action reversal filter ✅
ADX Trend strength filter ✅
HTF EMA Higher timeframe confirmation ✅
Ayman Entry Signal – Ultimate PRO (Scalping Gold Settings)1. Overview
This indicator is a professional gold scalping tool built for TradingView using Pine Script v6.
It combines multiple price action and technical filters to generate high-probability Buy/Sell signals with built-in trade management features (TP1, TP2, SL, Break Even, Partial Close, Stats tracking).
It is optimized for XAUUSD but can be applied to other assets with proper setting adjustments.
2. Key Features
Multi-Condition Trade Signals – EMA trend, Break of Structure, Order Blocks, FVG, Liquidity Sweeps, Pin Bars, Higher Timeframe confirmation, Trend Cloud, SMA Cross, and ADX.
Full Trade Management – Auto-calculates lot size, SL, TP1, TP2, Break Even, Partial Close.
Dynamic Chart Drawing – Entry lines, SL/TP lines, trade boxes, and real-time PnL.
Statistics Panel – Tracks wins, losses, breakeven trades, and total PnL over selected dates.
Customizable Filters – All filters can be turned ON/OFF to match your strategy.
3. Main Inputs & Settings
Account Settings
Capital ($) – Total trading capital.
Risk Percentage (%) – Risk per trade.
TP to SL Ratio – Risk-to-reward ratio.
Value Per Point ($) – Value per pip/point for lot size calculation.
SL Buffer – Extra points added to SL to avoid stop hunts.
Take Profit Settings
TP1 % of Full Target – Fraction of TP1 compared to TP2.
Move SL to Entry after TP1? – Activates Break Even after TP1.
Break Even Buffer – Extra points when moving SL to BE.
Take Partial Close at TP1 – Option to close half at TP1.
Signal Filters
ATR Period – For SL/TP calculation buffer.
EMA Trend – Uses EMA 9/21 crossover for trend.
Break of Structure (BoS) – Requires structure break confirmation.
Order Block (OB) – Validates trades within OB zones.
Fair Value Gap (FVG) – Confirms trades inside FVGs.
Liquidity Sweep – Checks if liquidity zones are swept.
Pin Bar Confirmation – Uses candlestick patterns for extra confirmation.
Pin Bar Body Ratio – Controls strictness of Pin Bar filter.
Higher Timeframe Filters (HTF)
HTF EMA Confirmation – Confirms lower timeframe trades with higher timeframe trend.
HTF BoS – Confirms with higher timeframe structure break.
HTF Timeframe – Selects higher timeframe.
Advanced Filters
SuperTrend Filter – Confirms trades based on SuperTrend.
ADX Filter – Filters out low volatility periods.
SMA Cross Filter – Uses SMA 8/9 cross as filter.
Trend Cloud Filter – Uses EMA 50/200 as a cloud trend filter.
4. How It Works
Buy Signal Conditions
EMA 9 > EMA 21 (trend bullish)
Optional filters (BoS, OB, FVG, Liquidity Sweep, Pin Bar, HTF confirmations, ADX, SMA Cross, Trend Cloud) must pass if enabled.
When all active filters pass → Buy signal triggers.
Sell Signal Conditions
EMA 9 < EMA 21 (trend bearish)
Same filtering process but for bearish conditions.
When all active filters pass → Sell signal triggers.
5. Trade Execution & Management
When a signal triggers:
Lot size is auto-calculated based on risk % and SL distance.
SL is placed beyond recent swing high/low + ATR buffer.
TP1 and TP2 are calculated from the SL using the reward-to-risk ratio.
Break Even: If enabled, SL moves to entry price after TP1 is hit.
Partial Close: If enabled, half of the position closes at TP1.
Trade Exit: Full exit at TP2, SL hit, or partial close at TP1.
6. Chart Display
Entry Line – Shows entry price.
SL Line – Red dashed line at stop loss level.
TP1 Line – Lime dashed line for TP1.
TP2 Line – Green dashed line for TP2.
PnL Labels – Displays real-time profit/loss in $.
Trade Box – Visual area showing trade range.
Pin Bar Shapes – Optional, marks Pin Bars.
7. Statistics Panel
Stats Header – Shows “Stats”.
Total Trades
Wins
Losses
Breakeven Trades
Total PnL
Can be reset or filtered by date.
8. How to Use
Load the Indicator in TradingView.
Select Gold (XAUUSD) on your preferred scalping timeframe (1m, 5m, 15m).
Adjust settings:
Use default gold scalping settings for quick start.
Enable/disable filters according to your style.
Wait for a Buy/Sell alert.
Confirm visually that all desired conditions align.
Place trade with calculated lot size, SL, and TP levels shown on chart.
Let trade run – the indicator manages Break Even & Partial Close if enabled.
9. Recommended Timeframes
Scalping: 1m, 5m, 15m
Day Trading: 15m, 30m, 1H
Swing: 4H, Daily (adjust settings accordingly)
Crypto Options Greeks & Volatility Analyzer [BackQuant]Crypto Options Greeks & Volatility Analyzer
Overview
The Crypto Options Greeks & Volatility Analyzer is a comprehensive analytical tool that calculates Black-Scholes option Greeks up to the third order for Bitcoin and Ethereum options. It integrates implied volatility data from VOLMEX indices and provides multiple visualization layers for options risk analysis.
Quick Introduction to Options Trading
Options are financial derivatives that give the holder the right, but not the obligation, to buy or sell an underlying asset at a predetermined price (strike price) within a specific time period (expiration date). Understanding options requires grasping two fundamental concepts:
Call Options : Give the right to buy the underlying asset at the strike price. Calls increase in value when the underlying price rises above the strike price.
Put Options : Give the right to sell the underlying asset at the strike price. Puts increase in value when the underlying price falls below the strike price.
The Language of Options: Greeks
Options traders use "Greeks" - mathematical measures that describe how an option's price changes in response to various factors:
Delta : How much the option price moves for each $1 change in the underlying
Gamma : How fast delta changes as the underlying moves
Theta : Daily time decay - how much value erodes each day
Vega : Sensitivity to implied volatility changes
Rho : Sensitivity to interest rate changes
These Greeks are essential for understanding risk. Just as a pilot needs instruments to fly safely, options traders need Greeks to navigate market conditions and manage positions effectively.
Why Volatility Matters
Implied volatility (IV) represents the market's expectation of future price movement. High IV means:
Options are more expensive (higher premiums)
Market expects larger price swings
Better for option sellers
Low IV means:
Options are cheaper
Market expects smaller moves
Better for option buyers
This indicator helps you visualize and quantify these critical concepts in real-time.
Back to the Indicator
Key Features & Components
1. Complete Greeks Calculations
The indicator computes all standard Greeks using the Black-Scholes-Merton model adapted for cryptocurrency markets:
First Order Greeks:
Delta (Δ) : Measures the rate of change of option price with respect to underlying price movement. Ranges from 0 to 1 for calls and -1 to 0 for puts.
Vega (ν) : Sensitivity to implied volatility changes, expressed as price change per 1% change in IV.
Theta (Θ) : Time decay measured in dollars per day, showing how much value erodes with each passing day.
Rho (ρ) : Interest rate sensitivity, measuring price change per 1% change in risk-free rate.
Second Order Greeks:
Gamma (Γ) : Rate of change of delta with respect to underlying price, indicating how quickly delta will change.
Vanna : Cross-derivative measuring delta's sensitivity to volatility changes and vega's sensitivity to price changes.
Charm : Delta decay over time, showing how delta changes as expiration approaches.
Vomma (Volga) : Vega's sensitivity to volatility changes, important for volatility trading strategies.
Third Order Greeks:
Speed : Rate of change of gamma with respect to underlying price (∂Γ/∂S).
Zomma : Gamma's sensitivity to volatility changes (∂Γ/∂σ).
Color : Gamma decay over time (∂Γ/∂T).
Ultima : Third-order volatility sensitivity (∂²ν/∂σ²).
2. Implied Volatility Analysis
The indicator includes a sophisticated IV ranking system that analyzes current implied volatility relative to its recent history:
IV Rank : Percentile ranking of current IV within its 30-day range (0-100%)
IV Percentile : Percentage of days in the lookback period where IV was lower than current
IV Regime Classification : Very Low, Low, High, or Very High
Color-Coded Headers : Visual indication of volatility regime in the Greeks table
Trading regime suggestions based on IV rank:
IV Rank > 75%: "Favor selling options" (high premium environment)
IV Rank 50-75%: "Neutral / Sell spreads"
IV Rank 25-50%: "Neutral / Buy spreads"
IV Rank < 25%: "Favor buying options" (low premium environment)
3. Gamma Zones Visualization
Gamma zones display horizontal price levels where gamma exposure is highest:
Purple horizontal lines indicate gamma concentration areas
Opacity scaling : Darker shading represents higher gamma values
Percentage labels : Shows gamma intensity relative to ATM gamma
Customizable zones : 3-10 price levels can be analyzed
These zones are critical for understanding:
Pin risk around expiration
Potential for explosive price movements
Optimal strike selection for gamma trading
Market maker hedging flows
4. Probability Cones (Expected Move)
The probability cones project expected price ranges based on current implied volatility:
1 Standard Deviation (68% probability) : Shown with dashed green/red lines
2 Standard Deviations (95% probability) : Shown with dotted green/red lines
Time-scaled projection : Cones widen as expiration approaches
Lognormal distribution : Accounts for positive skew in asset prices
Applications:
Strike selection for credit spreads
Identifying high-probability profit zones
Setting realistic price targets
Risk management for undefined risk strategies
5. Breakeven Analysis
The indicator plots key price levels for options positions:
White line : Strike price
Green line : Call breakeven (Strike + Premium)
Red line : Put breakeven (Strike - Premium)
These levels update dynamically as option premiums change with market conditions.
6. Payoff Structure Visualization
Optional P&L labels display profit/loss at expiration for various price levels:
Shows P&L at -2 sigma, -1 sigma, ATM, +1 sigma, and +2 sigma price levels
Separate calculations for calls and puts
Helps visualize option payoff diagrams directly on the chart
Updates based on current option premiums
Configuration Options
Calculation Parameters
Asset Selection : BTC or ETH (limited by VOLMEX IV data availability)
Expiry Options : 1D, 7D, 14D, 30D, 60D, 90D, 180D
Strike Mode : ATM (uses current spot) or Custom (manual strike input)
Risk-Free Rate : Adjustable annual rate for discounting calculations
Display Settings
Greeks Display : Toggle first, second, and third-order Greeks independently
Visual Elements : Enable/disable probability cones, gamma zones, P&L labels
Table Customization : Position (6 options) and text size (4 sizes)
Price Levels : Show/hide strike and breakeven lines
Technical Implementation
Data Sources
Spot Prices : INDEX:BTCUSD and INDEX:ETHUSD for underlying prices
Implied Volatility : VOLMEX:BVIV (Bitcoin) and VOLMEX:EVIV (Ethereum) indices
Real-Time Updates : All calculations update with each price tick
Mathematical Framework
The indicator implements the full Black-Scholes-Merton model:
Standard normal distribution approximations using Abramowitz and Stegun method
Proper annualization factors (365-day year)
Continuous compounding for interest rate calculations
Lognormal price distribution assumptions
Alert Conditions
Four categories of automated alerts:
Price-Based : Underlying crossing strike price
Gamma-Based : 50% surge detection for explosive moves
Moneyness : Deep ITM alerts when |delta| > 0.9
Time/Volatility : Near expiration and vega spike warnings
Practical Applications
For Options Traders
Monitor all Greeks in real-time for active positions
Identify optimal entry/exit points using IV rank
Visualize risk through probability cones and gamma zones
Track time decay and plan rolls
For Volatility Traders
Compare IV across different expiries
Identify mean reversion opportunities
Monitor vega exposure across strikes
Track higher-order volatility sensitivities
Conclusion
The Crypto Options Greeks & Volatility Analyzer transforms complex mathematical models into actionable visual insights. By combining institutional-grade Greeks calculations with intuitive overlays like probability cones and gamma zones, it bridges the gap between theoretical options knowledge and practical trading application.
Whether you're:
A directional trader using options for leverage
A volatility trader capturing IV mean reversion
A hedger managing portfolio risk
Or simply learning about options mechanics
This tool provides the quantitative foundation needed for informed decision-making in cryptocurrency options markets.
Remember that options trading involves substantial risk and complexity. The Greeks and visualizations provided by this indicator are tools for analysis - they should be combined with proper risk management, position sizing, and a thorough understanding of options strategies.
As crypto options markets continue to mature and grow, having professional-grade analytics becomes increasingly important. This indicator ensures you're equipped with the same analytical capabilities used by institutional traders, adapted specifically for the unique characteristics of 24/7 cryptocurrency markets.
DeltaTrace ForecastDeltaTrace Forecast is a forward-looking projection tool that visualizes the probable directional path of price using a multi-timeframe momentum model rooted in volatility-adjusted nonlinear dynamics. Rather than relying on traditional indicators that react to price after the fact, DeltaTrace estimates future price motion by tracing the progression of momentum changes across expanding timeframes—then scaling those deltas using adaptive volatility to forecast a plausible path forward.
At its core, DeltaTrace constructs a momentum vector from a series of smoothed z-scores derived from increasing multiples of the current chart's timeframe. These z-scores are normalized using a hyperbolic tangent function (tanh), which compresses extreme values and emphasizes meaningful deviations without being overly sensitive to outliers. This nonlinear normalization ensures that explosive moves are weighted with less distortion, while still preserving the shape and direction of the underlying trend.
Once the z-scores are calculated for a range of 12 timeframes (from 1× the current timeframe up to 12×), the indicator computes the first difference between each adjacent pair. These differences—or deltas—represent the change in momentum from one timeframe to the next. In this structure, a strong positive delta implies momentum is strengthening as we look into higher timeframes, while a negative delta reflects waning or reversing strength.
However, not all deltas are treated equally. To make the projection adaptive to market volatility and temporally meaningful, each delta is scaled by the square root of its corresponding timeframe multiple, weighted by the ATR (Average True Range) of the base timeframe. This square-root volatility scaling mirrors the behavior of Brownian motion and reflects the natural geometric diffusion of price over time. By applying this scaling, the model tempers its forecast according to recent volatility while maintaining proportional distance over longer time horizons.
The result is a chain of projected price steps—11 in total—starting from the current closing price. These steps are cumulative, meaning each one builds upon the previous, forming a continuously adjusted polyline that represents the most recent forecast path of price. Each point in the forecast line is directional: if the next projected point is above the last, the segment is colored green (upward momentum); if below, it is colored red (downward momentum). This color coding gives immediate visual feedback on the nature of the projected path and allows for intuitive at-a-glance interpretation.
What makes DeltaTrace unique is its combination of ideas from signal processing, time-series momentum analysis, and volatility theory. Instead of relying on static support/resistance levels or lagging moving averages, it dynamically adapts to both momentum curvature and volatility structure. This allows it to be used not just for trend confirmation, but also for top-down bias fading, reversal anticipation, and path-following strategies.
Traders can use DeltaTrace in a variety of ways depending on their style:
For trend traders, a consistent upward or downward curve in the forecast suggests directional continuation and can be used for position sizing or confirmation of bias.
For mean-reversion traders, exaggerated divergence between the current price and the first few forecast points may indicate temporary exhaustion or overextension.
For scalpers or intraday traders, the short-term bend or flattening of the initial segments can reveal early signs of weakening momentum or build-up before breakout.
For swing traders, the full shape of the polyline gives an evolving map of market rhythm across time compression, allowing for context-aware decision-making.
It’s important to understand that this is a path projection tool, not a precise price target predictor. The forecast does not attempt to predict exact price levels at exact bars, but rather illustrates how the market might evolve if the current multi-timeframe momentum structure persists. Like all models, it should be interpreted probabilistically and used in conjunction with other confirmation signals, risk management tools, or strategy frameworks.
Inputs allow customization of the z-score calculation length and ATR window to tune the sensitivity of the model. The color scheme for up/down forecast segments can also be adjusted for personal preference. Additionally, users can toggle the polyline forecast on or off, which may be useful for pairing this indicator with others in a crowded chart layout.
Because the forecast path is calculated only on the last bar, it does not repaint or shift once the candle closes—preserving historical accuracy for visual inspection and backtesting reference. However, it is also sensitive to changes in volatility and momentum structure, meaning it updates each bar as conditions evolve, making it most effective in real-time decision support.
DeltaTrace Forecast is particularly well-suited for traders who want a deeper understanding of hidden momentum shifts across timeframes without relying on traditional trend-following tools. It reveals the shape of future possibility based on present dynamics, offering a compact yet powerful visualization of directional bias, transition risk, and path strength.
To maximize its utility, consider pairing DeltaTrace with volume profiles, order flow tools, higher timeframe zones, or market structure indicators. Used in context, it becomes a powerful companion to both systematic and discretionary trading styles—especially for those who appreciate a blend of mathematics and intuition in their market analysis.
This indicator is not based on magic or black-box logic; every component—from the z-score standardization to the volatility-adjusted deltas—is fully transparent and grounded in simple, interpretable mechanics. If you're looking for a reliable way to visualize multi-timeframe bias and momentum diffusion, DeltaTrace provides a unique lens through which to interpret future potential in an ever-shifting market landscape.
Power Metcalfe's + Fibonacci Channel## Metcalfe's Law + Fibonacci Channel - Optimized Bitcoin Valuation Model
This indicator presents an enhanced variation of the classic Bitcoin Metcalfe's Law model, combining logarithmic regression analysis with Fibonacci retracement levels to create a comprehensive valuation framework.
**Key Features:**
- **Optimized Metcalfe's Law calculation** using historical cycle data (2013-2022) for improved accuracy
- **Fibonacci channel overlay** with key levels: 0.382, 0.618, 1.272, 1.618, 2.000, 2.618, 3.000
- **Dynamic trading zones** with visual buy/sell signals based on price position relative to the channel
- **Real-time targets** displaying current Fibonacci projections and fair value estimates
**What makes it different:**
Unlike standard Metcalfe's Law implementations, this version integrates logarithmic growth principles and uses a refined dataset that accounts for Bitcoin's maturation cycles. The Fibonacci overlay provides clearer entry/exit points while maintaining the long-term growth trajectory based on network adoption.
**Best suited for:** Long-term Bitcoin holders and macro traders looking for mathematical support/resistance levels based on network adoption dynamics and scarcity.
The model automatically updates calculations and provides a comprehensive information table showing current formula parameters and key price targets.
