Stochastic Order Flow Momentum [ScorsoneEnterprises]This indicator implements a stochastic model of order flow using the Ornstein-Uhlenbeck (OU) process, combined with a Kalman filter to smooth momentum signals. It is designed to capture the dynamic momentum of volume delta, representing the net buying or selling pressure per bar, and highlight potential shifts in market direction. The volume delta data is sourced from TradingView’s built-in functionality:
www.tradingview.com
For a deeper dive into stochastic processes like the Ornstein-Uhlenbeck model in financial contexts, see these research articles: arxiv.org and arxiv.org
The SOFM tool aims to reveal the momentum and acceleration of order flow, modeled as a mean-reverting stochastic process. In markets, order flow often oscillates around a baseline, with bursts of buying or selling pressure that eventually fade—similar to how physical systems return to equilibrium. The OU process captures this behavior, while the Kalman filter refines the signal by filtering noise. Parameters theta (mean reversion rate), mu (mean level), and sigma (volatility) are estimated by minimizing a squared-error objective function using gradient descent, ensuring adaptability to real-time market conditions.
How It Works
The script combines a stochastic model with signal processing. Here’s a breakdown of the key components, including the OU equation and supporting functions.
// Ornstein-Uhlenbeck model for volume delta
ou_model(params, v_t, lkb) =>
theta = clamp(array.get(params, 0), 0.01, 1.0)
mu = clamp(array.get(params, 1), -100.0, 100.0)
sigma = clamp(array.get(params, 2), 0.01, 100.0)
error = 0.0
v_pred = array.new(lkb, 0.0)
array.set(v_pred, 0, array.get(v_t, 0))
for i = 1 to lkb - 1
v_prev = array.get(v_pred, i - 1)
v_curr = array.get(v_t, i)
// Discretized OU: v_t = v_{t-1} + theta * (mu - v_{t-1}) + sigma * noise
v_next = v_prev + theta * (mu - v_prev)
array.set(v_pred, i, v_next)
v_curr_clean = na(v_curr) ? 0 : v_curr
v_pred_clean = na(v_next) ? 0 : v_next
error := error + math.pow(v_curr_clean - v_pred_clean, 2)
error
The ou_model function implements a discretized Ornstein-Uhlenbeck process:
v_t = v_{t-1} + theta (mu - v_{t-1})
The model predicts volume delta (v_t) based on its previous value, adjusted by the mean-reverting term theta (mu - v_{t-1}), with sigma representing the volatility of random shocks (approximated in the Kalman filter).
Parameters Explained
The parameters theta, mu, and sigma represent distinct aspects of order flow dynamics:
Theta:
Definition: The mean reversion rate, controlling how quickly volume delta returns to its mean (mu). Constrained between 0.01 and 1.0 (e.g., clamp(array.get(params, 0), 0.01, 1.0)).
Interpretation: A higher theta indicates faster reversion (short-lived momentum), while a lower theta suggests persistent trends. Initial value is 0.1 in init_params.
In the Code: In ou_model, theta scales the pull toward \mu, influencing the predicted v_t.
Mu:
Definition: The long-term mean of volume delta, representing the equilibrium level of net buying/selling pressure. Constrained between -100.0 and 100.0 (e.g., clamp(array.get(params, 1), -100.0, 100.0)).
Interpretation: A positive mu suggests a bullish bias, while a negative mu indicates bearish pressure. Initial value is 0.0 in init_params.
In the Code: In ou_model, mu is the target level that v_t reverts to over time.
Sigma:
Definition: The volatility of volume delta, capturing the magnitude of random fluctuations. Constrained between 0.01 and 100.0 (e.g., clamp(array.get(params, 2), 0.01, 100.0)).
Interpretation: A higher sigma reflects choppier, noisier order flow, while a lower sigma indicates smoother behavior. Initial value is 0.1 in init_params.
In the Code: In the Kalman filter, sigma contributes to the error term, adjusting the smoothing process.
Summary:
theta: Speed of mean reversion (how fast momentum fades).
mu: Baseline order flow level (bullish or bearish bias).
sigma: Noise level (variability in order flow).
Other Parts of the Script
Clamp
A utility function to constrain parameters, preventing extreme values that could destabilize the model.
ObjectiveFunc
Defines the objective function (sum of squared errors) to minimize during parameter optimization. It compares the OU model’s predicted volume delta to observed data, returning a float to be minimized.
How It Works: Calls ou_model to generate predictions, computes the squared error for each timestep, and sums it. Used in optimization to assess parameter fit.
FiniteDifferenceGradient
Calculates the gradient of the objective function using finite differences. Think of it as finding the "slope" of the error surface for each parameter. It nudges each parameter (theta, mu, sigma) by a small amount (epsilon) and measures the change in error, returning an array of gradients.
Minimize
Performs gradient descent to optimize parameters. It iteratively adjusts theta, mu, and sigma by stepping down the "hill" of the error surface, using the gradients from FiniteDifferenceGradient. Stops when the gradient norm falls below a tolerance (0.001) or after 20 iterations.
Kalman Filter
Smooths the OU-modeled volume delta to extract momentum. It uses the optimized theta, mu, and sigma to predict the next state, then corrects it with observed data via the Kalman gain. The result is a cleaner momentum signal.
Applied
After initializing parameters (theta = 0.1, mu = 0.0, sigma = 0.1), the script optimizes them using volume delta data over the lookback period. The optimized parameters feed into the Kalman filter, producing a smoothed momentum array. The average momentum and its rate of change (acceleration) are calculated, though only momentum is plotted by default.
A rising momentum suggests increasing buying or selling pressure, while a flattening or reversing momentum indicates fading activity. Acceleration (not plotted here) could highlight rapid shifts.
Tool Examples
The SOFM indicator provides a dynamic view of order flow momentum, useful for spotting directional shifts or consolidation.
Low Time Frame Example: On a 5-minute chart of SEED_ALEXDRAYM_SHORTINTEREST2:NQ , a rising momentum above zero with a lookback of 5 might signal building buying pressure, while a drop below zero suggests selling dominance. Crossings of the zero line can mark transitions, though the focus is on trend strength rather than frequent crossovers.
High Time Frame Example: On a daily chart of NYSE:VST , a sustained positive momentum could confirm a bullish trend, while a sharp decline might warn of exhaustion. The mean-reverting nature of the OU process helps filter out noise on longer scales. It doesn’t make the most sense to use this on a high timeframe with what our data is.
Choppy Markets: When momentum oscillates near zero, it signals indecision or low conviction, helping traders avoid whipsaws. Larger deviations from zero suggest stronger directional moves to act on, this is on $STT.
Inputs
Lookback: Users can set the lookback period (default 5) to adjust the sensitivity of the OU model and Kalman filter. Shorter lookbacks react faster but may be noisier; longer lookbacks smooth more but lag slightly.
The user can also specify the timeframe they want the volume delta from. There is a default way to lower and expand the time frame based on the one we are looking at, but users have the flexibility.
No indicator is 100% accurate, and SOFM is no exception. It’s an estimation tool, blending stochastic modeling with signal processing to provide a leading view of order flow momentum. Use it alongside price action, support/resistance, and your own discretion for best results. I encourage comments and constructive criticism.
Chỉ báo và chiến lược
Trendline Breakouts With Targets [ Chartprime ]ITS COPIED FROM TBT WITH TARGETS
What's added: STOP LOSS IS VISIBLE. CAN ADD ALERTS FOR BUY AND SELL SIGNALS.
The Trendline Breakouts With Targets and visible stoploss indicator is meticulously crafted to improve trading decision-making by pinpointing trendline breakouts and breakdowns through pivot point analysis.
Here's a comprehensive look at its primary functionalities:
Upon the occurrence of a breakout or breakdown, a signal is meticulously assessed against a false signal condition/filter, after which the indicator promptly generates a trading signal. Additionally, it conducts precise calculations to determine potential target levels and then exhibits them graphically on the price chart.
🔷Key Features:
🔸Trendline Drawing: The indicator automatically plots trendlines based on significant pivot points and wick data, visually representing the prevailing trend.
Multi-Timeframe Anchored VWAP Valuation# Multi-Timeframe Anchored VWAP Valuation
## Overview
This indicator provides a unique perspective on potential price valuation by comparing the current price to the Volume Weighted Average Price (VWAP) anchored to the start of multiple timeframes: Weekly, Monthly, Quarterly, and Yearly. It synthesizes these comparisons into a single oscillator value, helping traders gauge if the current price is potentially extended relative to significant volume-weighted levels.
## Core Concept & Calculation
1. **Anchored VWAP:** The script calculates the VWAP separately for the current Week, Month, Quarter (3 Months), and Year (12 Months), starting the calculation from the first bar of each period.
2. **Price Deviation:** It measures how far the current `close` price is from each of these anchored VWAPs. This distance is measured in terms of standard deviations calculated *within* that specific anchor period (e.g., how many weekly standard deviations the price is away from the weekly VWAP).
3. **Deviation Score (Multiplier):** Based on this standard deviation distance, a score is assigned. The further the price is from the VWAP (in terms of standard deviations), the higher the absolute score. The indicator uses linear interpolation to determine scores between the standard deviation levels (defaulted at 1, 2, and 3 standard deviations corresponding to scores of +/-2, +/-3, +/-4, with a score of 1 at the VWAP).
4. **Timeframe Weighting:** Longer timeframes are considered more significant. The deviation scores are multiplied by fixed scalars: Weekly (x1), Monthly (x2), Quarterly (x3), Yearly (x4).
5. **Final Valuation Metric:** The weighted scores from all four timeframes are summed up to produce the final oscillator value plotted in the indicator pane.
## How to Interpret and Use
* **Histogram (Indicator Pane):**
* The main output is the histogram representing the `Final Valuation Metric`.
* **Positive Values:** Suggest the price is generally trading above its volume-weighted averages across the timeframes, potentially indicating strength or relative "overvaluation."
* **Negative Values:** Suggest the price is generally trading below its volume-weighted averages, potentially indicating weakness or relative "undervaluation."
* **Values Near Zero:** Indicate the price is relatively close to its volume-weighted averages.
* **Histogram Color:**
* The color of the histogram bars provides context based on the metric's *own recent history*.
* **Green (Positive Color):** The metric is currently *above* its recent average plus a standard deviation band (dynamic upper threshold). This highlights potentially significant "overvalued" readings relative to its normal range.
* **Red (Negative Color):** The metric is currently *below* its recent average minus a standard deviation band (dynamic lower threshold). This highlights potentially significant "undervalued" readings relative to its normal range.
* **Gray (Neutral Color):** The metric is within its typical recent range (between the dynamic upper and lower thresholds).
* **Orange Line:** Plots the moving average of the `Final Valuation Metric` itself (based on the "Threshold Lookback Period"), serving as the centerline for the dynamic thresholds.
* **On-Chart Table:**
* Provides a detailed breakdown for transparency.
* Shows the calculated VWAP, the raw deviation multiplier score, and the final weighted (adjusted) metric for each individual timeframe (W, M, Q, Y).
* Displays the current price, the final combined metric value, and a textual interpretation ("Overvalued", "Undervalued", "Neutral") based on the dynamic thresholds.
## Potential Use Cases
* Identifying potential exhaustion points when the indicator reaches statistically high (green) or low (red) levels relative to its recent history.
* Assessing whether price trends are supported by underlying volume-weighted average prices across multiple timeframes.
* Can be used alongside other technical analysis tools for confirmation.
## Settings
* **Calculation Settings:**
* `STDEV Level 1`: Adjusts the 1st standard deviation level (default 1.0).
* `STDEV Level 2`: Adjusts the 2nd standard deviation level (default 2.0).
* `STDEV Level 3`: Adjusts the 3rd standard deviation level (default 3.0).
* **Interpretation Settings:**
* `Threshold Lookback Period`: Defines the number of bars used to calculate the average and standard deviation of the final metric for dynamic thresholds (default 200).
* `Threshold StDev Multiplier`: Controls how many standard deviations above/below the metric's average are used to set the "Overvalued"/"Undervalued" thresholds (default 1.0).
* **Table Settings:** Customize the position and colors of the data table displayed on the chart.
## Important Considerations
* This indicator measures price deviation relative to *anchored* VWAPs and its *own historical range*. It is not a standalone trading system.
* The interpretation of "Overvalued" and "Undervalued" is relative to the indicator's logic and calculations; it does not guarantee future price movement.
* Like all indicators, past performance is not indicative of future results. Use this tool as part of a comprehensive analysis and risk management strategy.
* The anchored VWAP and Standard Deviation values reset at the beginning of each respective period (Week, Month, Quarter, Year).
RT-RSI 2.0 + Signal📈 RT-RSI 2.0 + Signal – Enhanced RSI Divergence Detection
RT-RSI 2.0 + Signal is a powerful and flexible RSI-based divergence indicator designed for traders who want smarter market entries using real-time confirmations.
This script identifies bullish and bearish RSI divergences, visualizes them directly on the RSI pane, and provides clear output signals (numeric: 1.0 for bullish, 2.0 for bearish) for use in external strategy scripts like RT-Signal 2.0.1.
🔍 Core Features:
✔️ Detects classic RSI divergences (bullish & bearish)
✔️ Includes automatic pivot detection and flexible lookback settings
✔️ External signal output for use in multi-pattern or strategy systems
✔️ Optimized RSI calculation per market type (BTC, DAX, Gold, Forex, etc.)
✔️ Customizable moving average & Bollinger Band smoothing
✔️ Signal is output via plot() (non-displayed) for remote use
Liquidity Sweep + OB Trap"A high-precision smart money indicator that detects liquidity sweeps, volume divergence, and order block traps—filtered by trend—to catch false breakouts and sniper reversals."
Pullback SARPullback SAR - Parabolic SAR with Pullback Detection
Description: The "Pullback SAR" is an advanced indicator built on the classic Parabolic SAR but with additional functionality for detecting pullbacks. It helps identify moments when the price pulls back from the main trend, offering potential entry signals. Perfect for traders looking to enter the market after a correction.
Key Features:
SAR (Parabolic SAR): The Parabolic SAR indicator is used to determine potential trend reversal points. It marks levels where the price could reverse its direction.
Pullback Detection: The indicator catches periods when the price moves away from the main trend and then returns, which may suggest a re-entry opportunity.
Long and Short Signals: Once a pullback in the direction of the main trend is identified, the indicator generates signals that could be used to open positions.
Simple and Clear Construction: The indicator is based on the classic SAR, with added pullback detection logic to enhance the accuracy of the signals.
Parameters:
Start (SAR Step): Determines the initial step for the SAR calculation, which controls the rate of change in the indicator at the beginning.
Increment (SAR Increment): Defines the maximum step size for SAR, allowing traders to adjust the indicator’s sensitivity to market volatility.
Max Value (SAR Max): Sets the upper limit for the SAR value, controlling its volatility.
Usage:
Swing Trading: Ideal for swing strategies, aiming to capture larger price moves while maintaining a safe margin.
Scalping: Due to its precise pullback detection, it can also be used in scalping, especially when the price quickly returns to the main trend.
Risk Management: The combination of SAR and pullback detection allows traders to adjust their positions according to changing market conditions.
Special Notes:
Adjusting Parameters: Depending on the market and trading style, users can adjust the SAR parameters (Start, Increment, Max Value) to fit their needs.
Combination with Other Indicators: It's recommended to use the indicator alongside other technical analysis tools (e.g., EMA, RSI) to enhance the accuracy of the signals.
Link to the script: This open-source version of the indicator is available on TradingView, enabling full customization and adjustments to meet your personal trading strategy. Share your experiences and suggestions!
Trend Confirmation StrategyComprehensive Trend Confirmation System
Indicator Features (Professional Description):
Comprehensive Trend Confirmation System is a versatile indicator meticulously designed to identify and confirm trend-based trading opportunities with exceptional efficiency. By seamlessly integrating analysis from a suite of leading technical tools, it aims to provide superior accuracy and reliability for informed trading decisions.
Key Features:
Intelligent Trend Identification: A robust trend analysis system that considers:
Adjustable Moving Averages: Utilizes three customizable moving average periods (fast, medium, slow) with user-selectable lengths and types (SMA, EMA, WMA, VWMA) to accurately determine the prevailing trend across different timeframes.
In-depth Price Action Analysis: Examines the formation of Higher Highs/Higher Lows (uptrend) and Lower Highs/Lower Lows (downtrend) to validate price direction.
Average Directional Index (ADX) with Adjustable Threshold: Measures the strength of a trend and employs the comparison between +DI and -DI to pinpoint the dominant momentum, featuring a customizable threshold to filter out weak signals.
Multi-Factor Signal Confirmation System: Enhances the reliability of trading signals through verification from four distinct confirmation tools:
Volume Analysis with Average Reference: Assesses whether trading volume supports price movements by comparing it to historical averages.
Relative Strength Index (RSI) with Reference Levels: Measures price momentum and identifies overbought/oversold conditions to confirm trend strength.
Moving Average Convergence Divergence (MACD) Divergence and Crossovers: Detects shifts in momentum and potential trend changes through the relationship between the MACD line and the Signal line.
Stochastic Oscillator with Reference Levels: Measures the current price's position relative to its historical range to evaluate overbought/oversold conditions and potential reversal opportunities.
Intelligent Signal Generation Logic:
Buy Signal: Triggered when a strong uptrend is identified (meeting defined criteria) and confirmed by at least three out of the four confirmation tools.
Sell Signal: Triggered when a strong downtrend is identified (meeting defined criteria) and confirmed by at least three out of the four confirmation tools.
User-Friendly Visualizations:
Moving Averages (MA): Displays three MA lines on the chart with user-configurable colors (default: fast-blue, medium-orange, slow-red) for easy visual trend analysis.
Clear Buy and Sell Signal Symbols: Presents distinct green upward-pointing triangles for buy signals and red downward-pointing triangles for sell signals at the corresponding candlestick.
Dynamic Candlestick Color Coding: Candlesticks are dynamically colored green upon a buy signal and red upon a sell signal for quick identification of trading opportunities.
Highly Customizable Parameters: Users have extensive control over the indicator's parameters, including:
Lengths and types of Moving Averages.
Length and Threshold of the ADX.
Length of the RSI.
Parameters for the MACD (Fast Length, Slow Length, Signal Length).
Parameters for the Stochastic Oscillator (%K Length, %D Length, Smoothing).
Ideal For:
Traders seeking a robust tool to accurately identify and confirm market trends.
Individuals aiming to reduce false signals and enhance the precision of their trading decisions.
Traders employing trend-following strategies in markets with clear directional movement.
Important Note:
While Comprehensive Trend Confirmation System is engineered to improve trading accuracy, no indicator can guarantee 100% profitable trades. Users are advised to utilize this indicator in conjunction with relevant fundamental analysis and sound risk management practices for optimal trading outcomes.
Pump & Dump Detector (sensitive)📊 Pump & Dump Detector — Volatility & Volume-Based Impulse Scanner
Description:
This indicator is designed to detect early and confirmed signs of high-impact market movements, such as pumps (sharp price increases) and dumps (sharp price drops). It intelligently combines multiple market signals to provide timely alerts of potential momentum spikes.
🔧 Components & Logic:
1. Price Change (%):
Compares the current closing price to the previous one. This is used as the main trigger for confirmed pump or dump detection.
2. Volume Spike:
Detects abnormal activity by comparing the current volume to the moving average over a user-defined period. If the current volume exceeds the average by a specified multiplier (default: 1.8x), a spike is detected.
3. Volatility Spike (High - Low):
Measures bar expansion. A sudden increase in bar range often indicates breakout conditions or liquidation events.
4. NATR (Normalized ATR):
Normalized Average True Range is calculated as (ATR / Close) * 100, making volatility comparable across all timeframes and instruments.
5. Min Volume Filter:
Filters out signals from low-liquidity coins to reduce false alerts and market noise.
🧠 Why It’s Useful:
This is not a mashup of random indicators, but a thoughtfully engineered system where each filter strengthens the signal validity.
It allows you to spot explosive moves before they fully unfold, making it ideal for:
Intraday scalping
Altcoin watchlists
Flash crash detection
Early reversal or breakout trades
🖥 How to Use:
Add the indicator to any crypto chart.
Enable alerts for:
🚨 Early Pump
💥 Confirmed Pump
🔻 Early Dump
🔥 Confirmed Dump
React to confirmed signals using your preferred strategy — breakout, fade, or continuation.
Use in combination with key levels, orderbook data, or trend filters for best results.
📌 Example Use Case:
On a 5-minute chart of a low-cap altcoin, the indicator may issue an early signal when:
Price increases by more than 2.5%
Volume is 2x the average
Bar range is significantly larger than the recent average
NATR is above its smoothed average × 1.2
🛡 Originality & Purpose:
This script was not built to simply combine popular indicators, but to serve a very specific use-case — detecting early-stage pumps and dumps.
By blending classic tools (like volume, ATR) with contextual filters, it becomes a true pattern-based predictive signal, not a repackaged overlay.
💬 Have ideas or suggestions? Leave a comment below — I’m always open to collaboration!
Giant Candles DetectorThis script identifies abnormally large candles — also known as "giant candles" — based on a customizable size threshold relative to the average candle size over a user-defined period.
Key Features:
Automatically detects candles that are significantly larger than average.
Differentiates between bullish (green) and bearish (red) candles.
Option to visually highlight candles with background color.
Built-in alert to notify you immediately when a giant candle appears.
Ideal for traders looking to spot volatility spikes, key breakouts, or significant price movements with minimal effort.
Advanced Multi-Symbol Analyzer by Babak SoltanparastAdvanced Multi-Symbol Analyzer by Babak Soltanparast
Probability Grid [LuxAlgo]The Probability Grid tool allows traders to see the probability of where and when the next reversal would occur, it displays a 10x10 grid and/or dashboard with the probability of the next reversal occurring beyond each cell or within each cell.
🔶 USAGE
By default, the tool displays deciles (percentiles from 0 to 90), users can enable, disable and modify each percentile, but two of them must always be enabled or the tool will display an error message alerting of it.
The use of the tool is quite simple, as shown in the chart above, the further the price moves on the grid, the higher the probability of a reversal.
In this case, the reversal took place on the cell with a probability of 9%, which means that there is a probability of 91% within the square defined by the last reversal and this cell.
🔹 Grid vs Dashboard
The tool can display a grid starting from the last reversal and/or a dashboard at three predefined locations, as shown in the chart above.
🔶 DETAILS
🔹 Raw Data vs Normalized Data
By default the tool displays the normalized data, this means that instead of using the raw data (price delta between reversals) it uses the returns between each reversal, this is useful to make an apples to apples comparison of all the data in the dataset.
This can be seen in the left side of the chart above (BTCUSD Daily chart) where normalize data is disabled, the percentiles from 0 to 40 overlap and are indistinguishable from each other because the tool uses the raw price delta over the entire bitcoin history, with normalize data enabled as we can see in the right side of the chart we can have a fair comparison of the data over the entire history.
🔹 Probability Beyond or Within Each Cell
Two different probability modes are available, the default mode is Probability Beyond Each Cell, the number displayed in each cell is the probability of the next reversal to be located in the area beyond the cell, for example, if the cell displays 20%, it means that in the area formed by the square starting from the last reversal and ending at the cell, there is an 80% probability and outside that square there is a 20% probability for the location of the next reversal.
The second probability mode is the probability within each cell, this outlines the chance that the next reversal will be within the cell, as we can see on the right chart above, when using deciles as percentiles (default settings), each cell has the same 1% probability for the 10x10 grid.
🔶 SETTINGS
Swing Length: The maximum length in bars used to identify a swing
Maximum Reversals: Maximum number of reversals included in calculations
Normalize Data: Use returns between swings instead of raw price
Probability: Choose between two different probability modes: beyond and inside each cell
Percentiles: Enable/disable each of the ten percentiles and select the percentile number and line style
🔹 Dashboard
Show Dashboard: Enable or disable the dashboard
Position: Choose dashboard location
Size: Choose dashboard size
🔹 Style
Show Grid: Enable or disable the grid
Size: Choose grid text size
Colors: Choose grid background colors
Show Marks: Enable/disable reversal markers
MACD Crossover + AlertMACD Proximity & Crossover Alert Script
This script is designed to help traders stay ahead of MACD crossovers by providing:
Early alerts when the MACD and Signal lines are getting close (within a customizable threshold)
Instant alerts when a bullish or bearish crossover occurs
Whether you're swing trading or scalping, this tool gives you advanced notice to prepare — and a confirmation signal to act on. It works on any timeframe and helps avoid late entries by alerting you when momentum is shifting.
Features:
Customizable MACD settings (fast, slow, signal length)
Adjustable "proximity" threshold
Visual background highlight when lines are close
Built-in alert conditions for:
MACD crossing above Signal (bullish)
MACD crossing below Signal (bearish)
MACD and Signal getting close (early warning)
Perfect for traders who want a heads-up before momentum shifts — not just a reaction afterward.
EMA Crossover Signal (15min)📈 EMA Crossover Signal (15min)
This indicator generates Buy and Sell signals based on a simple yet effective Exponential Moving Average (EMA) crossover strategy, strictly evaluated on the 15-minute timeframe.
✅ Strategy:
Buy Signal: Triggered when the 5 EMA crosses above the 10 EMA.
Sell Signal: Triggered when the 5 EMA crosses below the 10 EMA.
📌 Features:
Signals are evaluated using 15-minute data, regardless of your current chart timeframe.
Clear Buy/Sell labels are displayed directly on the chart.
Optional plotting of the 5 EMA and 10 EMA from the 15-minute chart for visual confirmation.
This tool is ideal for traders who want to follow short-term momentum shifts with high clarity and precision.
Buy/Sell Volume ComparisonKey improvements:
Direct volume comparison: Now shows the current day's volume and previous day's volume side by side
Percentage change display: Clear percentage change with up/down arrows
Table position customization: Added a dropdown menu to select where you want the table to appear
To adjust the table position:
Click on the settings (gear icon) for the indicator after adding it to your chart
You'll see a dropdown menu labeled "Table Position"
Select from options like "Top Right", "Bottom Left", etc.
Click "OK" to apply your changes
This version also handles the case where there's no previous volume data (first bar of the chart) by checking for NA values.
Let me know if this meets your requirements, or if you'd like any other adjustments!RetryClaude does not have the ability to run the code it generates yet.Claude can make mistakes. Please double-check responses.Tip: Long chats cause you to reach your usage limits faster.
Futures Position Size CalculatorFutures Position Size Calculator by vmkhats
Streamline your futures trading risk management with this intuitive Pine Script utility designed for TradingView. Created by vmkhats, this tool automates position sizing calculations for popular futures contracts, ensuring precise risk control while eliminating manual errors.
Key Features:
Supports 15+ Instruments: Trade confidently with preconfigured settings for indices (ES, NQ, RTY), commodities (CL, GC), currencies (6E), and micro contracts (MES, MNQ, MCL).
Customizable Inputs: Set your risk amount (e.g., $1,000) and stop-loss size in points, tailored to your strategy.
Automatic Calculations: The script computes stop-loss size in ticks, risk per contract, and optimal position size using floor rounding to prevent over-leveraging.
Clear Visual Output: A table displays results (instrument, risk, stop size, contracts) with color-coded alerts for invalid configurations (e.g., zero position size).
Ideal for both novice and seasoned traders, this utility enforces disciplined risk management while saving time. Enhance your TradingView workspace with this essential tool and trade futures with confidence.
Created by vmkhats — ensuring traders stay precise, proactive, and risk-aware.
SMT Divergence ICT 02 [TradingFinder] Smart Money Technique SMC🔵 Introduction
SMT Divergence (Smart Money Technique Divergence) is a price action-based trading concept that detects discrepancies in market behavior between two assets that are generally expected to move in the same direction. Rooted in ICT (Inner Circle Trader) methodology, this approach helps traders recognize subtle signs of market manipulation or imbalance, often ahead of traditional indicators.
The core idea behind SMT divergence is simple: when two correlated instruments—such as currency pairs, indices, or assets from the same sector—start forming different swing points (highs or lows), this can reveal a lack of confirmation in the trend. Such divergence is often a precursor to a price reversal or pause in momentum.
This technique works effectively across various markets including Forex, stocks, and cryptocurrencies. It’s particularly valuable when used alongside concepts like liquidity sweeps, market structure breaks (MSBs), or order block identification.
In advanced use cases, Sequential SMT helps uncover patterns of alternating divergences across sessions, often signaling engineered liquidity traps before price reacts.
When combined with the Quarterly Theory—which segments market behavior into Accumulation, Manipulation, Distribution, and Continuation/Reversal phases—traders gain insight not only into where divergence happens, but when it's most likely to be significant within the market cycle.
Bullish SMT :
Bullish SMT Divergence occurs when one asset prints a higher low while the correlated asset forms a lower low. This asymmetry often suggests that the downside move is losing strength, hinting at a potential bullish shift.
Bearish SMT :
Bearish SMT Divergence is formed when one asset creates a higher high, while the second asset fails to confirm by printing a lower high. This typically signals weakening bullish pressure and the possibility of a reversal to the downside.
🔵 How to Use
The SMT Divergence indicator is designed to detect imbalances between two positively correlated assets—such as major currency pairs, indices, or commodities. These divergences often indicate early signs of market inefficiency or smart money manipulation and can help traders anticipate trend shifts with higher precision.
Unlike traditional divergence indicators or earlier versions of this script, this upgraded version does not rely solely on consecutive pivot comparisons. Instead, it dynamically scans all available pivots within the chart to identify divergences at any structural level—major or minor—across the price action. This broader detection method increases the reliability and frequency of meaningful SMT signals.
Moreover, when integrated with Sequential SMT logic, the indicator is capable of identifying multiple divergence sequences across sessions. These sequences often signal engineered liquidity traps and can be mapped within the Quarterly Theory framework, allowing traders to pinpoint not just the presence of divergence but also the phase of the market cycle it appears in (Accumulation, Manipulation, Distribution, or Continuation).
🟣 Bullish SMT Divergence
This signal occurs when the primary asset forms a higher low, while the correlated asset forms a lower low. This pattern implies weakening bearish momentum and a potential shift to the upside.
If the correlated asset breaks its previous low but the primary asset does not, this divergence suggests absorption of selling pressure and possible accumulation by smart money—making it a strong bullish signal, especially when aligned with a favorable market phase (e.g., the end of a manipulation phase in Q2).
🟣 Bearish SMT Divergence
This signal occurs when the primary asset creates a higher high, while the correlated asset forms a lower high. This mismatch indicates fading bullish momentum and a potential reversal to the downside.
If the correlated asset fails to confirm a breakout made by the main asset, the divergence may point to distribution or exhaustion. When seen within Q3 or Q4 phases of the Quarterly Theory, this pattern often precedes sharp declines or fake-outs engineered by smart money
🔵 Settings
⚙️ Logical Settings
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Activate Max Pivot Back : When enabled, limits the maximum number of past pivots to be considered for divergence detection.
Max Pivot Back Length : Defines how many past pivots can be used (if the above toggle is active).
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Bullish SMT Line : Draws a line connecting the bullish divergence points.
Show Bullish SMT Label : Displays a label on the chart when a bullish divergence is detected.
Bullish Color : Sets the color for bullish SMT markers (label, shape, and line).
Show Bearish SMT Line : Draws a line for bearish divergence.
Show Bearish SMT Label : Displays a label when a bearish SMT divergence is found.
Bearish Color : Sets the color for bearish SMT visual elements.
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequency :
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵Conclusion
The SMT Plus indicator offers a refined and powerful approach to detecting smart money behavior through divergence analysis between correlated assets. By removing the limitations of consecutive pivot comparisons and allowing for broader structural detection, it captures more accurate and timely signals that often precede major market moves.
When paired with frameworks like Sequential SMT and the Quarterly Theory, the indicator not only highlights where divergence occurs, but also when in the market cycle it's most likely to matter. Its flexible settings, customizable visuals, and integrated alert system make it suitable for intraday scalpers, swing traders, and even long-term macro analysts.
Whether you're using it as a standalone decision-making tool or combining it with other ICT concepts, SMT Plus gives you an edge in recognizing manipulation, timing reversals, and staying in sync with the real market narrative—not just the chart.
Dynamic Volume Profile PoC SwiftedgeOverview
The Dynamic Volume Profile PoC is a powerful and visually intuitive indicator designed to help traders identify key support and resistance levels using a unique combination of pivot points, volume analysis, and dynamic Point of Control (PoC) levels. This script overlays directly on your chart, providing clear visual cues for potential breakout and rejection zones, making it easier to spot high-probability trading opportunities.
What It Does
This indicator combines three core components to deliver actionable insights:
Pivot Points: Identifies significant swing highs and lows to establish potential support and resistance levels.
Volume Oscillator: Measures volume momentum to confirm the strength of price movements, ensuring that breakouts or rejections are backed by significant volume.
Dynamic Point of Control (PoC): Calculates the midpoint between consecutive pivot points to create dynamic PoC levels, which act as key areas where price is likely to either break through (breakout) or reverse (rejection).
These components work together to highlight critical price levels where the market is likely to react, giving traders a clear framework for decision-making.
How It Works
Pivot Detection: The script uses pivot highs and lows (based on user-defined Left Bars and Right Bars) to identify significant price levels. These pivots form the foundation for calculating PoC levels.
PoC Calculation: Each time a new pivot is detected, the script calculates the midpoint between the current pivot and the previous pivot, creating a dynamic PoC level. These levels are plotted as horizontal lines on the chart, with a maximum of Max PoC Lines to Show (default: 2) visible at any time.
Volume Confirmation: A volume oscillator (short EMA of volume minus long EMA of volume) is used to filter breakouts and rejections. Breakouts or rejections are only signaled if the volume oscillator exceeds the Volume Threshold (default: 20), ensuring that price movements are supported by strong volume.
Visual Cues:
PoC levels are drawn as cyan lines with optional semi-transparent zones (controlled by Show PoC Zones). These zones are colored green for potential breakouts (price above PoC) and red for potential rejections (price below PoC).
Labels above and below each PoC level indicate trading opportunities: "Long if breakout"/"Long if rejected" (green) and "Short if breakout"/"Short if rejected" (red), depending on the price's direction relative to the PoC.
Break signals ("B") are plotted above or below bars when price crosses a pivot level with sufficient volume, colored red for downward breaks and green for upward breaks.
How to Use
Add the Indicator: Add the "Dynamic Volume Profile PoC " to your chart in TradingView.
Adjust Settings:
Left Bars and Right Bars (default: 15): Control the sensitivity of pivot detection. Lower values make the script more sensitive to smaller price swings.
Volume Threshold (default: 20): Set the minimum volume oscillator value required to confirm breakouts or rejections. Increase this for stricter confirmation.
Max PoC Lines to Show (default: 2): Define how many PoC levels are displayed at once.
Show PoC Zones (default: true): Toggle semi-transparent zones around PoC levels for better visualization.
Label Spacing Factor (default: 0.5): Adjust the vertical spacing between labels and the PoC box. Increase this value (e.g., to 1.0 or 2.0) for more spacing, or decrease it (e.g., to 0.3) for less.
Interpret the Signals:
Look for PoC levels (cyan lines) as key areas of interest.
Use the labels to identify potential trades: "Long if breakout" indicates a buy opportunity if price breaks above the PoC, while "Short if rejected" suggests a sell if price fails to break through.
Watch for "B" signals to confirm breakouts or rejections with volume support.
Combine with Your Strategy: Use the PoC levels and break signals as part of your broader trading strategy, such as trend-following or mean-reversion setups.
Why This Script is Unique
The Dynamic Volume Profile PoC stands out by combining pivot points, volume analysis, and dynamic PoC levels into a single, cohesive tool. Unlike traditional volume profile indicators that require a fixed range, this script dynamically updates PoC levels based on recent price action, making it more responsive to current market conditions. The addition of volume confirmation ensures that signals are backed by market participation, reducing false breakouts. The visually appealing design, with customizable spacing and semi-transparent zones, makes it easy to interpret key levels at a glance, even for traders unfamiliar with Pine Script.
Notes
This script works best on timeframes where pivot points are meaningful (e.g., 1H, 4H, or daily charts).
Adjust the Label Spacing Factor to ensure labels are well-spaced for your chart's zoom level and instrument.
For instruments with high volatility, you may need to increase the Volume Threshold to filter out noise.
H4 3-Candle Pattern (Persistent Signals)Below is an example in Pine Script v5 that detects a pattern using the last three completed 4H candles and then plots a permanent arrow on the fourth candle (i.e. on the current bar) when the conditions are met. The arrow stays on that bar even after new bars form.
In this version, the pattern is evaluated as follows on each bar (when there are enough candles):
Bullish Pattern:
The candle three bars ago (oldest of the three) is bullish (its close is greater than its open).
The candle two bars ago closes above the high of that older candle.
The last completed candle (one bar ago) closes at or above the low of the candle two bars ago.
Bearish Pattern:
The candle three bars ago is bearish (its close is less than its open).
The candle two bars ago closes below the low of that older candle.
The last completed candle closes at or below the high of the candle two bars ago.
When the conditions are met the script draws a green up arrow below the current (fourth) candle for a bullish pattern and a red down arrow above the current candle for a bearish pattern. These arrows are drawn as regular plot symbols and remain on the chart permanently.
Copy and paste the code into TradingView’s Pine Script Editor:
Sessions with Mausa session high/low tracker that draws flat, horizontal lines for Asia, London, and New York trading sessions. It updates those levels in real time during each session, locks them in once the session ends, and keeps them on the chart for context.
At a glance, you always know:
Where each session’s highs and lows were set
Which session produced them (ASIA, LDN, NY labels float cleanly above the highs)
When price is approaching or reacting to prior session levels
🔹 Use Cases:
• Key Levels – See where Asia, London, or NY set boundaries, and watch how price respects or rejects them
• Breakout Zones – Monitor when price breaks above/below session highs/lows
• Session Structure – Know instantly if a move happened during London or NY without squinting at the clock
• Backtesting – Keep historic session levels on the chart for reference — nothing gets deleted
• Confluence – Align these levels with support/resistance, fibs, or liquidity zones
Simple, visual, no distractions — just session structure at a glance.
Wick Sweep EntriesWick Sweep Entry designed by Finweal Finance (Indicator Originator : Prajyot Mahajan) :
This Indicator is specially designed for Nifty, Sensex and Banknifty Options Buying. This works well on Expiry Days.
Setup Timeframe : 5m and 1m.
Entry Criteria :
For Long/CE :
Wait for Sweep of 5m Candle Low with next 5m Candle but you do not wait for the next 5 minute candle to close, you enter directly whenever any 1 minute candle of next 5minute candle to close above the low of previous 5m Candle.
For Short/PE :
Wait for Sweep of 5m Candle High with next 5m Candle but you do not wait for the next 5 minute candle to close, you enter directly whenever any 1 minute candle of next 5minute candle to close below the High of previous 5m Candle.
Key notes :
1. As this is the Scalping High Frequency Strategy, it is to be used for scalping purpose only. You might have losses too so to avoid the noise in the market, i suggest you to use this strategy in the first 45 minutes to 1 hour of Indian Markets as this is a volatility Strategy.
2. Although Nifty and Banknifty are independent indices, they still show some reactions with each other, so if you spot a long entry on BNF and Short Entry on nifty then you will avoid taking the trade, you will take the trade only if there is a tandem activity or At least the other index is not showing opposite signal.
3. If target is not hit and you spot another entry, you will avoid taking the new entry.
The Indicator will automatically spot/plot the entry signal, all you need to do is enter as soon as 1minute candle closes either below prior 5 minute candle High for Short/PE or closes above 5minute low for Long/CE.
For Targets :
You Can Target recent minor pull back, FVG, or Order blocks.
Remember : This is a scalping strategy so don't hold trade for more than 4/5 1minute Candles
Simple Fundamental Analysis Fundamental Analysis
This indicator provides comprehensive fundamental analysis directly on your chart, displaying key financial metrics in a color-coded table format. It goes beyond basic metrics by calculating fair value estimates and generating buy/sell signals based on overall fundamental health.
Key features:
14 essential fundamental metrics including EPS, P/E Ratio, PEG Ratio, and valuation ratios
Fair value calculation (PE × EPS) showing potential under/overvaluation
Value gap percentage to quickly identify investment opportunities
Color-coded values (green for healthy, red for concerning)
Automatic buy/sell/neutral signals based on overall fundamental analysis
Percentage rating showing the strength of buy/sell signals
This tool helps traders and investors make informed decisions based on fundamental data rather than just technical indicators. Perfect for value investors looking to identify fundamentally sound companies trading at attractive prices.
Disclaimer
This indicator is provided for informational and educational purposes only. The buy/sell signals and fundamental analysis presented are not investment advice or recommendations to buy, sell, or hold any security.
The financial data used is sourced from TradingView's database and may not always be current or accurate. Some metrics may be unavailable for certain stocks, which could affect the overall rating. Different industries have different norms for "good" metrics - what's healthy for one sector may not be for another.
The fair value calculation uses a standard PE ratio of 15, which may not be appropriate for all companies or industries. High-growth companies typically command higher multiples, while mature companies may trade at lower multiples.
Past performance is not indicative of future results. Always conduct your own research and consider consulting a financial advisor before making investment decisions.
Next Candle PredictorNext Candle Predictor for TradingView
This Pine Script indicator helps predict potential price movements for the next candle based on historical price action patterns. It analyzes recent candles' characteristics including body size, wick length, and volume to calculate a directional bias.
Key Features
Analyzes recent price action to predict next candle direction (Bullish, Bearish, or Neutral)
Visual indicators include small directional arrows and a prediction line
Customizable sensitivity and lookback period
Works best on lower timeframes for short-term price action trading
Displays clear prediction labels that extend into future bars
How It Works
The script analyzes recent candles by examining:
Candle body size (weighted by your preference)
Wick length (weighted by your preference)
Volume activity (weighted by your preference)
These factors combine to create a directional strength indicator that determines if the next candle is likely to be bullish, bearish, or neutral.
Visual Feedback
Green up arrows indicate bullish predictions
Red down arrows indicate bearish predictions
A directional line extends from the last candle showing predicted price movement
A label displays the prediction text at the end of the line
Information table in the top right displays the current prediction
Settings
Lookback Candle Count: Number of historical candles to analyze (2-20)
Wick/Body/Volume Weight Factors: Adjust importance of each component
Prediction Sensitivity: Threshold for triggering directional bias
Prediction Line Length: How far the prediction line extends
Perfect for day traders and scalpers looking for an edge in short-term directional bias.
