Uptrick: Z-Score FlowAccording to author @Uptrick:
Uptrick: Z-Score Flow is a technical indicator that integrates trend-sensitive momentum analysis with the mean-reversion logic derived from Z-Score calculations. Its primary objective is to identify market conditions where price has deviated too far from its mean (overbought or oversold) or is within a statistically "normal" range, and then compare this observation with trend direction and RSI-based momentum signals. The result is a more contextual approach to trade entry and exit, prioritizing precision, clarity, and adaptability across different market regimes.
Introduction:
Financial instruments frequently shift between trending modes, where price extends strongly in one direction, and ranging modes, where price oscillates around a central value. A simple statistical measure like Z-Score can identify price extremes by comparing the current price to its historical mean and standard deviation. However, these extremes alone can be misleading if the overall market structure exhibits a strong trend. Uptrick: Z-Score Flow seeks to close this gap by combining Z-Score with an exponential moving average (EMA) trend filter and a smoothed RSI momentum check, thereby filtering out signals that contradict the prevailing market environment.
Objective:
The purpose of this script is to help traders identify mean reversion opportunities and trend-based pullbacks in a statistically sound manner, while still taking overall price action into account. By combining Z-Score thresholds with support conditions, the script reduces the likelihood of acting on random price rises or falls and instead focuses on significant movements within historical and current contextual frameworks.
Originality and Uniqueness:
Layered Signal Check: Signals require compliance with multiple layers (Z-Score extreme, EMA trend skew, and RSI momentum stance) rather than simply exceeding a statistical threshold.
RSI Zone Lock: Once the RSI enters an overbought/oversold zone and triggers a signal, the script blocks subsequent signals until the RSI recovers above or below those zones, limiting consecutive triggers.
Controlled Cooldown: A dedicated cooldown mechanism ensures that the script waits a specific number of bars before issuing a new signal in the opposite direction.
Gradient-Based Visualization: The distinct gradient fills between the price and the Z-Mean line improve readability, showing at a glance whether the price is trading above or below its statistical mean.
Comprehensive Metrics Panel: An optional table on the chart summarizes key Z-Score metrics, streamlining the process of verifying current statistical extremes, average levels, and momentum directions.
Why were these indicators merged? Z-Score metrics are excellent for identifying when the price deviates from its mean, but they don't intrinsically reveal whether the market's trajectory supports a reversal or whether the price could continue its trend. The EMA, commonly used to detect trend direction, offers valuable insight into whether the price is predominantly upward or downward. However, relying solely on a trend filter overlooks the intensity of price movements. The RSI adds a specific measure of momentum, helping to confirm whether market energy aligns with a potential reversal (e.g., the price is statistically low, but the RSI suggests imminent bullish momentum). By combining these three perspectives (Z-score for statistical context, the EMA for trend direction, and the RSI for momentum strength), the script offers a more comprehensive and adaptable system, aiming to avoid false positives caused by focusing on a single aspect of price behavior.
Calculations
The main calculation begins with a simple moving average (SMA) of the price over zL bars, called the base. The script then calculates the standard deviation of the price in the same window. Dividing the difference between the current price and the base price by this standard deviation gives the Z-score, which indicates how many standard deviations the price is from its mean. A positive Z-score indicates that the price is above its mean. A negative reading indicates the opposite.
Candlestick analysis
订单流轨迹自动交易脚本《订单流交易》一书系统性地介绍了订单流（Order Flow）这一市场分析方法，强调通过分析市场中每一价位的主动买卖单量，捕捉供需力量的变化，从而预判价格趋势的延续或反转。以下是核心内容提炼：
1. 订单流的核心概念
订单流定义：通过实时追踪每个价位的主动买单和卖单成交量，揭示市场供需力量的动态平衡。与传统K线图（仅显示开盘、收盘、最高、最低价）不同，订单流深入价格内部，展示买卖双方的博弈细节。
关键指标：
Delta：单根K线内主动买单总量减去主动卖单总量的差值，反映多空力量强弱。
POC（成交量最大价位）：K线内部成交量最大的价格点，揭示多空争夺的核心区域。
失衡现象：当某一价位的主动买单量显著高于卖单（需求失衡）或反之（供应失衡），阈值通常设为3:1。
堆积失衡：连续多个价位出现供需失衡，形成支撑/阻力带。
2. 订单流的优势
实时性：直接反映市场当下行为，而非滞后指标（如MACD、RSI）。
识别主力动向：通过大单、微单、被套交易者等信号，捕捉机构或主力资金的痕迹。
大单：顶部/底部成交量显著高于相邻价位，表明主力介入。
微单：顶部/底部成交量骤减，显示趋势末端力量衰竭。
被套交易者：趋势末端大量反向成交，导致价格反转（如顶部放量却无法突破）。
3. 订单流的分析方法
价格与成交量结合：
健康上涨：伴随主动买单递增，Delta为正且放大。
弱势反转：顶部出现需求失衡但价格回落，或底部供应失衡却未创新低。
关键价位的应用：
支撑/阻力：通过前日高低点、VWAP（成交量加权平均价）、月线级别高低点等判断。
突破与回踩：价格突破关键位后回踩确认，结合订单流验证有效性。
4. 交易策略与实战应用
高胜率信号：
顶部/底部微单：趋势末端成交量萎缩，预示反转（如顶部主动买单骤减）。
失衡堆积：连续失衡形成支撑/阻力带，回踩时入场。
吸收与主动出击：价格在区间内震荡（吸收）后突破，伴随成交量放大。
资金管理与心理：
止损设置：基于失衡区间或关键价位，控制单笔亏损（如1-2跳）。
空仓纪律：无明确信号时保持观望，避免过度交易。
5. 与传统技术的对比
K线图的局限：无法展示价格内部成交细节，仅依赖形态（如十字星、吞噬）易被误导。
订单流的独特性：通过微观成交数据，识别市场情绪（如恐慌性抛售或贪婪追涨），避免“看图说话”的滞后性。
6. 适用场景与市场
高流动性市场：期货、股指、外汇等，需足够成交量支撑订单流分析。
日内与波段交易：短周期（如15分钟）捕捉供需突变，长周期验证趋势强度。
总结
订单流的核心在于通过实时成交数据，理解市场参与者的行为逻辑，从而在趋势启动初期或反转前捕捉机会。它并非预测工具，而是通过供需力量对比，为交易决策提供客观依据。结合严格的资金管理和心理纪律，订单流能显著提升交易的胜率与盈亏比。
**"Order Flow Trading"** systematically introduces the market analysis method of **Order Flow**, emphasizing the capture of supply-demand dynamics by analyzing active buy/sell volumes at each price level to anticipate trend continuations or reversals. Below is a distilled summary of the core concepts:
---
### **1. Core Concepts of Order Flow**
- **Definition**:
Order Flow tracks real-time active buy/sell volumes at each price level, revealing the dynamic balance between supply and demand. Unlike traditional candlestick charts (which only show open, close, high, and low prices), Order Flow dives into price internals, exposing the battle between buyers and sellers.
- **Key Metrics**:
- **Delta**: The difference between total active buy volume and sell volume within a single candlestick, reflecting bullish/bearish strength.
- **POC (Point of Control)**: The price level with the highest volume in a candlestick, indicating the focal point of buyer-seller conflict.
- **Imbalance**: Occurs when buy volume significantly exceeds sell volume (**demand imbalance**, threshold ~3:1) or vice versa (**supply imbalance**).
- **Cumulative Imbalance**: Consecutive price levels with imbalances, forming support/resistance zones.
---
### **2. Advantages of Order Flow**
- **Real-Time Insight**: Reflects immediate market behavior, unlike lagging indicators (e.g., MACD, RSI).
- **Identifying Institutional Activity**: Detects "smart money" footprints through signals like:
- **Large Orders**: Unusually high volume at tops/bottoms, signaling institutional participation.
- **Micro Orders**: Abrupt volume drops at trend extremes, indicating exhaustion.
- **Trapped Traders**: Reversals triggered by countertrend volume surges (e.g., failed breakouts with high sell volume).
---
### **3. Analytical Techniques**
- **Price-Volume Integration**:
- **Healthy Rally**: Rising buy volume with expanding positive Delta.
- **Weak Reversal**: Demand imbalance at tops with price rejection, or supply imbalance at bottoms without new lows.
- **Key Price Levels**:
- **Support/Resistance**: Identified via prior highs/lows, VWAP (Volume-Weighted Average Price), or monthly levels.
- **Breakout & Retest**: Validate breakouts using Order Flow after price retests key levels.
---
### **4. Trading Strategies & Execution**
- **High-Probability Signals**:
- **Micro Orders at Extremes**: Volume drying up at tops/bottoms signals reversals.
- **Cumulative Imbalance Zones**: Enter on pullbacks to stacked imbalance areas.
- **Absorption & Breakouts**: Post-consolidation breakouts with volume expansion.
- **Risk & Psychology**:
- **Stop Loss**: Set 1-2 ticks outside imbalance zones or key levels.
- **Flat Discipline**: Avoid overtrading; act only on clear signals.
---
### **5. Order Flow vs. Traditional Analysis**
- **Candlestick Limitations**: Reliance on patterns (e.g., doji, engulfing) often leads to false signals due to missing internal price data.
- **Order Flow Edge**: Leverages granular trade data to detect market sentiment (e.g., panic selling or FOMO buying), avoiding lagging "chart storytelling."
---
### **6. Applicable Markets & Timeframes**
- **High-Liquidity Markets**: Futures, indices, forex (sufficient volume for Order Flow analysis).
- **Timeframes**:
- **Intraday/Swing**: Short-term (e.g., 15min) for sudden supply-demand shifts.
- **Long-Term**: Validate trend strength on higher timeframes (e.g., daily).
---
### **Summary**
Order Flow focuses on interpreting real-time transactional data to decode market participant behavior, capturing opportunities at trend inception or reversal points. It is not a predictive tool but a framework for objective decision-making through supply-demand analysis. Combined with strict risk management and psychological discipline, Order Flow enhances trade accuracy and profit potential.
GIGANEVA V6.61 PublicThis enhanced Fibonacci script for TradingView is a powerful, all-in-one tool that calculates Fibonacci Levels, Fans, Time Pivots, and Golden Pivots on both logarithmic and linear scales. Its ability to compute time pivots via fan intersections and Range interactions, combined with user-friendly features like Bool Fib Right, sets it apart. The script maximizes TradingView’s plotting capabilities, making it a unique and versatile tool for technical analysis across various markets.
1. Overview of the Script
The script appears to be a custom technical analysis tool built for TradingView, improving upon an existing script from TradingView’s Community Scripts. It calculates and plots:
Fibonacci Levels: Standard retracement levels (e.g., 0.236, 0.382, 0.5, 0.618, etc.) based on a user-defined price range.
Fibonacci Fans: Trendlines drawn from a high or low point, radiating at Fibonacci ratios to project potential support/resistance zones.
Time Pivots: Points in time where significant price action is expected, determined by the intersection of Fibonacci Fans or their interaction with key price levels.
Golden Pivots: Specific time pivots calculated when the 0.5 Fibonacci Fan (on a logarithmic or linear scale) intersects with its counterpart.
The script supports both logarithmic and linear price scales, ensuring versatility across different charting preferences. It also includes a feature to extend Fibonacci Fans to the right, regardless of whether the user selects the top or bottom of the range first.
2. Key Components Explained
a) Fibonacci Levels and Fans from Top and Bottom of the "Range"
Fibonacci Levels: These are horizontal lines plotted at standard Fibonacci retracement ratios (e.g., 0.236, 0.382, 0.5, 0.618, etc.) based on a user-defined price range (the "Range"). The Range is typically the distance between a significant high (top) and low (bottom) on the chart.
Example: If the high is $100 and the low is $50, the 0.618 retracement level would be at $80.90 ($50 + 0.618 × $50).
Fibonacci Fans: These are diagonal lines drawn from either the top or bottom of the Range, radiating at Fibonacci ratios (e.g., 0.382, 0.5, 0.618). They project potential dynamic support or resistance zones as price evolves over time.
From Top: Fans drawn downward from the high of the Range.
From Bottom: Fans drawn upward from the low of the Range.
Log and Linear Scale:
Logarithmic Scale: Adjusts price intervals to account for percentage changes, which is useful for assets with large price ranges (e.g., cryptocurrencies or stocks with exponential growth). Fibonacci calculations on a log scale ensure ratios are proportional to percentage moves.
Linear Scale: Uses absolute price differences, suitable for assets with smaller, more stable price ranges.
The script’s ability to plot on both scales makes it adaptable to different markets and user preferences.
b) Time Pivots
Time pivots are points in time where significant price action (e.g., reversals, breakouts) is anticipated. The script calculates these in two ways:
Fans Crossing Each Other:
When two Fibonacci Fans (e.g., one from the top and one from the bottom) intersect, their crossing point represents a potential time pivot. This is because the intersection indicates a convergence of dynamic support/resistance zones, increasing the likelihood of a price reaction.
Example: A 0.618 fan from the top crosses a 0.382 fan from the bottom at a specific bar on the chart, marking that bar as a time pivot.
Fans Crossing Top and Bottom of the Range:
A fan line (e.g., 0.5 fan from the bottom) may intersect the top or bottom price level of the Range at a specific time. This intersection highlights a moment where the fan’s projected support/resistance aligns with a key price level, signaling a potential pivot.
Example: The 0.618 fan from the bottom reaches the top of the Range ($100) at bar 50, marking bar 50 as a time pivot.
c) Golden Pivots
Definition: Golden pivots are a special type of time pivot calculated when the 0.5 Fibonacci Fan on one scale (logarithmic or linear) intersects with the 0.5 fan on the opposite scale (or vice versa).
Significance: The 0.5 level is the midpoint of the Fibonacci sequence and often acts as a critical balance point in price action. When fans at this level cross, it suggests a high-probability moment for a price reversal or significant move.
Example: If the 0.5 fan on a logarithmic scale (drawn from the bottom) crosses the 0.5 fan on a linear scale (drawn from the top) at bar 100, this intersection is labeled a "Golden Pivot" due to its confluence of key Fibonacci levels.
d) Bool Fib Right
This is a user-configurable setting (a boolean input in the script) that extends Fibonacci Fans to the right side of the chart.
Functionality: When enabled, the fans project forward in time, regardless of whether the user selected the top or bottom of the Range first. This ensures consistency in visualization, as the direction of the Range selection (top-to-bottom or bottom-to-top) does not affect the fan’s extension.
Use Case: Traders can use this to project future support/resistance zones without worrying about how they defined the Range, improving usability.
3. Why Is This Code Unique?
Original calculation of Log levels were taken from zekicanozkanli code. Thank you for giving me great Foundation, later modified and applied to Fib fans. The script’s uniqueness stems from its comprehensive integration of Fibonacci-based tools and its optimization for TradingView’s plotting capabilities. Here’s a detailed breakdown:
All-in-One Fibonacci Tool:
Most Fibonacci scripts on TradingView focus on either retracement levels, extensions, or fans.
This script combines:
Fibonacci Levels: Static horizontal lines for retracement and extension.
Fibonacci Fans: Dynamic trendlines for projecting support/resistance.
Time Pivots: Temporal analysis based on fan intersections and Range interactions.
Golden Pivots: Specialized pivots based on 0.5 fan confluences.
By integrating these functions, the script provides a holistic Fibonacci analysis tool, reducing the need for multiple scripts.
Log and Linear Scale Support:
Many Fibonacci tools are designed for linear scales only, which can distort projections for assets with exponential price movements. By supporting both logarithmic and linear scales, the script caters to a wider range of markets (e.g., stocks, forex, crypto) and user preferences.
Time Pivot Calculations:
Calculating time pivots based on fan intersections and Range interactions is a novel feature. Most TradingView scripts focus on price-based Fibonacci levels, not temporal analysis. This adds a predictive element, helping traders anticipate when significant price action might occur.
Golden Pivot Innovation:
The concept of "Golden Pivots" (0.5 fan intersections across scales) is a unique addition. It leverages the symmetry of the 0.5 level and the differences between log and linear scales to identify high-probability pivot points.
Maximized Plot Capabilities:
TradingView imposes limits on the number of plots (lines, labels, etc.) a script can render. This script is coded to fully utilize these limits, ensuring that all Fibonacci levels, fans, pivots, and labels are plotted without exceeding TradingView’s constraints.
This optimization likely involves efficient use of arrays, loops, and conditional plotting to manage resources while delivering a rich visual output.
User-Friendly Features:
The Bool Fib Right option simplifies fan projection, making the tool intuitive even for users who may not consistently select the Range in the same order.
The script’s flexibility in handling top/bottom Range selection enhances usability.
4. Potential Use Cases
Trend Analysis: Traders can use Fibonacci Fans to identify dynamic support/resistance zones in trending markets.
Reversal Trading: Time pivots and Golden Pivots help pinpoint moments for potential price reversals.
Range Trading: Fibonacci Levels provide key price zones for trading within a defined range.
Cross-Market Application: Log/linear scale support makes the script suitable for stocks, forex, commodities, and cryptocurrencies.
The original code was from zekicanozkanli . Thank you for giving me great Foundation.
SteveStrat 15MThis report provides a professional analysis of the BTC/USD pair on the 5-minute timeframe, focusing on an "Up and Down" trend assessment using Exponential Moving Averages (EMAs) and supplementary technical indicators. The goal is to identify the current trend and predict its future development based on real-time price data and market signals.
网格交易v1.0### Strategy Function Overview
**Grid Trading Framework:**
- Set up 11 grid buy levels evenly distributed between `maxPrice` and `minPrice`.
- Fund allocation increases progressively with each lower grid level (weights 1–11), resulting in more buying at lower prices.
- The grid range is controlled by the `range1` parameter (default: -10%).
**Semi-Final and Final DCA (Dollar-Cost Averaging) Buys:**
- A larger buy order is triggered when the price drops to the `semifinal` level (default: -12%).
- The largest buy order is triggered when the price drops to the `final` level (default: -15%).
**Take-Profit Mechanism:**
- **Primary Take-Profit:** All holdings are sold for profit when the average entry price rises by `tp%`.
- **First Order Trailing Take-Profit:** If only the first order has been executed, a dynamic trailing take-profit is set based on ATR.
**Visualization Elements:**
- **Grid Lines and Labels:** Show the price and quantity at each buy level.
- **Price Lines:** Indicate the highest grid price, the current average entry price, and the take-profit target.
- **Event Markers:** Flag for start time, 🛑 for semi-final trigger, and 🚀 for final trigger.
High/Low Day + OperacionaisThis TradingView indicator plots the high and low of the current trading day with solid horizontal lines and corresponding labels. Additionally, it offers the option to display two sets of dashed horizontal lines based on user-defined distances from the day's high and low.
**Key Features:**
* **Current Day's High and Low:** Clearly marks the highest and lowest price reached so far during the current trading day with solid green and red lines, respectively, accompanied by "High Day" and "Low Day" labels.
* **Operational Levels:** Provides two independent operational setups with customizable distances and visibility:
* **Operational 01:** Plots a pair of dashed lines at a specified positive distance above the day's high and a negative distance below the day's low. This is configured using the "Distância Op. 01 (Pontos)" and "Mostrar Op. 01 (+/- Distância)" settings, with a customizable color ("Cor Op. 01").
* **Operational 02:** Plots another pair of dashed lines at a specified negative distance below the day's high and a positive distance above the day's low. This is configured using the "Distância Op. 02 (Pontos)" and "Mostrar Op. 02 (-/+ Distância)" settings, with a customizable color ("Cor Op. 02").
* **Customizable Distances:** Users can independently define the distance in points for each operational setup.
* **Individual Visibility:** Users can choose to show or hide each operational setup independently.
* **Color Options:** Users can customize the color of the dashed lines for each operational setup.
* **"Show Current Day Lines" Toggle:** A simple option to turn the display of the current day's high and low lines and labels on or off.
**How it Works:**
The indicator detects the start of a new trading day based on the chart's timeframe. It then tracks the highest and lowest prices reached within that day. The solid lines and labels for the day's high and low are updated dynamically as new highs or lows are made. The dashed lines for each operational level are calculated based on the configured distances from the current day's high and low and are also updated in real-time.
🟢🟥 Liquidity Grabs + Volumen Alto by ernesto[Crypto CLEAN]How does a Liquidity Grab work?
Pursuit of pending orders: In highly volatile markets, prices can move quickly to reach levels where there are many unexecuted orders. These orders can be stop-loss orders (which are being chased by the market), take-profit orders, or limit orders.
Market manipulation: In some cases, large market players, such as banks or financial institutions, can trigger these sharp price movements to capture liquidity and execute their trades at more favorable prices. This can generate a false price movement that appears to be going in one direction, but then quickly reverses.
Common causes: Liquidity grabs are common during times of low liquidity or when significant news events occur. They can also occur in consolidation ranges where the market is waiting for a "catalyst" to move.
FVG# Fair Value Gap (FVG) Indicator
## Overview
The Fair Value Gap (FVG) indicator is a technical analysis tool designed to identify potential areas of price imbalance in the market. These imbalances, known as "fair value gaps," represent discontinuities in price movement where supply and demand were significantly imbalanced, potentially creating zones that price may return to in the future. This indicator was developed by Michele Amori for TradingView and operates as an overlay on price charts.
## Core Concept
Fair Value Gaps occur when price makes a significant move in one direction, leaving behind an area where no trading occurred. Specifically:
- **Bullish FVG**: Forms when the low of the current candle is higher than the high of the candle two positions back, creating an upward gap in price movement.
- **Bearish FVG**: Forms when the high of the current candle is lower than the low of the candle two positions back, creating a downward gap in price movement.
These gaps represent potential "fair value" areas that price may revisit to establish equilibrium between buyers and sellers.
## Visual Representation
The indicator displays FVGs in the following manner:
1. **Bullish FVGs**:
- Represented by semi-transparent green boxes
- Extend from the high of the candle two positions back to the low of the current candle
- Include a dashed green center line representing the middle point of the gap
2. **Bearish FVGs**:
- Represented by semi-transparent red boxes
- Extend from the low of the candle two positions back to the high of the current candle
- Include a dashed red center line representing the middle point of the gap
All FVG boxes and their center lines are extended to the right of the chart, making them visible until they are filled or invalidated.
## Invalidation Logic
The indicator automatically removes FVGs when they are considered filled or invalidated:
- **Bullish FVGs**: Removed when the closing price falls below the bottom of the FVG box, indicating that the upward gap has been filled.
- **Bearish FVGs**: Removed when the closing price rises above the top of the FVG box, indicating that the downward gap has been filled.
This removal only occurs after a candle is confirmed (fully formed), ensuring that premature invalidation doesn't occur during candle formation.
## Technical Implementation
The indicator uses arrays to store and manage the FVG boxes and their center lines. Key features of the implementation include:
- Creation of new FVGs only after candle confirmation
- Dynamic addition and removal of visual elements
- Transparent coloring (80% transparency) for better chart visibility
- Dashed center lines with less transparency (25%) to highlight the middle point of gaps
SMC Trade Setup v2Feature | Change
✅ Less Noise | Limits markers to last N bars
✅ Toggle Visibility | On/Off for BOS/CHOCH/MSS/OB
✅ Clear Visuals | Separate shape + color for each signal
✅ Simple OB Logic | Only draws OB where body confirms intent
✅ No Box Overlap | Removed overlapping zone issues
✅ HTF Bias Detection
🔄 BOS, CHOCH, MSS Detection
🧱 Order Block Marking
💧 Liquidity Zones
🟢 Entry Signals (based on CHOCH + OB retest)
🔴 Exit Zones (TP/SL suggestions)
LinReg Heikin Ashi CandlesLinear Regression Heikin Ashi Candles will dramatically change how the candlesticks on your chart will appear. This script creates Heikin Ashi candles from the existing candlesticks and then applies wickless Linear Regression candles as an overlay. The result is an ultra smoothed 'Renko-like' chart that remains time-based and responsive.
Key Features:
Heikin Ashi Base: Provides a smoother representation of price trends by filtering out noise.
Linear Regression Candles on Heikin Ashi: Plots Linear Regression lines as candles on the Heikin Ashi chart, potentially highlighting the immediate trend direction and momentum within the smoothed data. Wicks are intentionally removed for a clearer focus on the linear progression.
Tillson T3 Moving Averages: Includes fast and slow T3 Moving Averages with customizable length and alpha. These smoothed moving averages can help identify trend direction and potential crossover signals. Users can toggle their visibility.
Volatility Bands: Integrates Volatility Bands based on Average True Range (ATR) with customizable length, ATR type (RMA, SMA, EMA, WMA), and inner/outer multipliers. These bands help gauge price volatility and potential reversal zones. Users can toggle the visibility of the basis line.
Customizable Colors: Allows users to customize the colors of the Linear Regression Heikin Ashi bullish and bearish candles.
How to Use:
This is an overlay on your chart so you'll need to 'hide' the existing candlesticks on your chart.
This indicator can be used on any timeframe from seconds to days to quickly identify market trend, gauge volatility, and potentially find entry/exit points. Consider looking for confluence between the candle color/direction, T3 MA crossovers, and price interaction with the Volatility Bands.
Note: This indicator plots Linear Regression directly on Heikin Ashi candles, removing wicks for a focus on the linear trend within the smoothed data. Adjust the input parameters to suit your trading style and the specific market conditions.
HUGE CREDIT to ugurvu who originally created the Linear Regression Candles indicator that my indicator pulls code from.
Supertrend Hombrok BotSupertrend Hombrok Bot – Automated Trading Strategy for Dynamic Market Conditions
This trading strategy script has been developed to operate automatically based on detailed market conditions. It combines the popular Supertrend indicator, RSI (Relative Strength Index), Volume, and ATR (Average True Range) to determine the best entry and exit points while maintaining proper risk management.
Key Features:
Supertrend as the Base: Uses the Supertrend indicator to identify the market's trend direction, generating buy signals when the market is in an uptrend and sell signals when in a downtrend.
RSI Filter: The RSI is used to determine overbought and oversold conditions, helping to avoid entries in extreme market conditions. Entries are avoided when RSI > 70 (overbought) and RSI < 30 (oversold), reducing the risk of false movements.
Volume Filter: The strategy checks if the trading volume is above the average multiplied by a user-defined factor. This ensures that only significant movements, with higher liquidity, are considered.
Candle Body Size: The strategy filters only candles with a body large enough relative to the ATR (Average True Range), ensuring that the price movements on the chart have sufficient strength.
Risk Management: The bot is configured to operate with an adjustable Risk/Reward Ratio (R:R). This means that for each trade, both Take Profit (TP) and Stop Loss (SL) are adjusted based on the market's volatility as measured by the ATR.
Automatic Entries and Exits: The script automatically executes entries based on the specified conditions and exits with predefined Stop Loss and Take Profit levels, ensuring risk is controlled for each trade.
How It Works:
Buy Condition: Triggered when the market is in an uptrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is below the overbought level.
Sell Condition: Triggered when the market is in a downtrend (Supertrend), the volume is above the adjusted average, the candle body is strong enough, and the RSI is above the oversold level.
Alerts:
Buy and Sell Alerts are configured with detailed information, including Stop Loss and Take Profit values, allowing the user to receive notifications when trading conditions are met.
Capital Management:
The capital per trade can be adjusted based on account size and risk profile.
Important Note:
Always test before trading with real capital: While the strategy has been designed based on solid technical analysis methods, always perform tests in real-time market conditions with demo accounts before applying the bot in live trading.
Disclaimer: This script is a tool to assist in the trading process and does not guarantee profit. Past performance is not indicative of future results, and the trader is always responsible for their investment decisions.
4H Color Sync for 15m, 30m, 90m, 1H4H Time Theory Session Colour Sync
- session colour sync to lower timeframes
- highlighting the sessions of 4h candles
- using the fractal nature of 4h time theory and applying it to the 1h/15m/5m/1m chart
- option to change the colours of 3 PAIRS for the 4h timeframe candles
- automatically syncs to your timezone
CAJA W SMA + UT BOTThis script was made from a friend to friends. I hope is helpful and share good vibes
Change of Character FanChange of Character Fan
Overview
The Change of Character Fan is designed to help traders detect shifts (changes of character) in market direction and sentiment before they become fully visible through traditional candlestick analysis. Instead of relying solely on the shape or close of candlesticks, this indicator offers a direct, real-time look at the internal price action occurring within a single bar. This visibility into intrabar dynamics can potentially allow traders to enter or exit trades earlier, minimize false signals, and reduce their dependence on multiple lower-timeframe charts.
How it Works:
The indicator plots a "fan" consisting of five distinct slope lines within the current bar. Each line represents the internal trend of price movement based on user-defined lower timeframe data intervals.
By default, these intervals are set to 3, 5, 8, 13, and 21 samples from 1-second timeframe data.
Each line only appears when it has collected the minimum required number of intrabar data points.
The fan lines use a progressive opacity scale (lighter to darker), visually highlighting the confidence level or probability of directional continuation within the current bar.
At the open of every new bar, the fan disappears completely and gradually reappears as new data is gathered, ensuring clarity and eliminating outdated signals.
Understanding the Mathematics: Linear Regression Model
This indicator is built around the concept of a linear regression model. Linear regression is a statistical technique used to model and analyze relationships between variables—in this case, time (independent variable) and price (dependent variable).
How Linear Regression Works:
Linear regression fits a straight line (called a "line of best fit") through a set of data points, minimizing the overall distance between each point and the line itself.
Mathematically, this is achieved by minimizing the squared differences (errors) between the observed values (actual prices) and the predicted values (prices on the line).
The linear model used here can be expressed in the form:
y = mx + b
where:
𝑦
y is the predicted price,
𝑥
x represents time (each data sample interval),
𝑚
m is the slope of the line, representing the direction and velocity of the trend,
𝑏
b is the intercept (the theoretical price when x=0).
Why a Linear Model is Beneficial in this Indicator:
Simplicity and Reliability: Linear regression is simple, robust, and widely accepted as a baseline predictive model. It requires minimal computational resources, providing instant updates in real-time trading conditions.
Immediate Directional Feedback: The slope derived from linear regression immediately communicates the directional tendency of recent price action. A positive slope indicates upward pressure, and a negative slope signals downward pressure.
Noise Reduction: Even when price fluctuations are noisy or erratic, linear regression summarizes overall direction clearly, making it easier to detect genuine directional shifts (change of character) rather than random price noise.
Intrabar Analysis: Traditional candlestick analysis relies on fully formed candles, potentially delaying signals. By using linear regression on very short-term (intrabar) data, traders can detect shifts in momentum more quickly, providing an earlier signal than conventional candle patterns alone.
Practical Application:
This indicator helps traders to visually identify:
Early Trend Reversals: Intrabar analysis reveals momentum shifts potentially signaling reversals before they become obvious on conventional candles.
Momentum Continuations: Confidence is gained when all lines in the fan are clearly pointing in the same direction, indicating strong intrabar conviction.
Reduced False Signals: Traditional candlestick signals (e.g., hammer candles) sometimes produce false signals due to intrabar noise. By looking directly into intrabar dynamics, traders gain better context on whether candle patterns reflect genuine directional change or merely noise.
Important Requirements and Recommendations:
Subscription Requirements:
A TradingView subscription that supports sub-minute data (e.g., 1-second or 5-second resolution) is strongly recommended.
If your subscription doesn't include this data granularity, you must use a 1-minute lower timeframe, significantly reducing responsiveness. In this scenario, it's best suited for a 15-minute or higher chart, adjusting intervals to shorter periods.
Live Data Essential:
Real-time market data subscription is essential for the accuracy and effectiveness of this indicator.
Using delayed data reduces responsiveness and weakens the indicator's primary advantage.
Recommended Settings for Different Chart Timeframes:
1-minute chart: Use 1-second lower timeframe intervals (default intervals: 3, 5, 8, 13, 21).
5-minute chart: Adjust to a 5- or 10-second lower timeframe, possibly reducing intervals to shorter periods (e.g., 3, 5, 8, 10, 12).
15-minute or higher charts: Adjust lower timeframe to 1-minute if granular data is unavailable, with reduced interval lengths to maintain responsiveness.
Conclusion:
The Change of Character Fan empowers traders with early insight into directional shifts within each candle, significantly enhancing reaction speed, signal accuracy, and reducing dependency on multiple charts. Built on robust linear regression mathematics, it combines clarity, responsiveness, and ease-of-use in a powerful intrabar analysis tool.
Trade smarter, see sooner, and react faster.
VWAP + EMAs + 3-Min Crossover Arrows + Volume Pulseadjust to your colors that you want the emas to be and use with key levels. i use this on the 5 min chart
this marks the emas and lets you know when there is increasing volume and when there is a bullish or bearish cross over happening which is based on
Session Breakouts & Trend Indicator# Session Breakouts & Trend Indicator
This indicator identifies high-probability trading opportunities by tracking key intraday sessions and their breakouts while aligning them with the overall market trend direction.
## What Makes This Indicator Unique
Unlike standard breakout indicators that only identify when price crosses a threshold, this indicator:
- Dynamically identifies and tracks important daily sessions (default: AM 09:00-10:00 and PM 15:00-16:00)
- Determines trend direction using a triple EMA system (20/50/200)
- Shows when breakouts align with the overall trend (higher probability setups)
- Provides visual confirmation with session ranges, breakout levels, and background highlighting
- Includes a comprehensive information panel showing trend/session alignment
## How It Works
The indicator tracks two important daily sessions:
1. **AM Session**: Typically the first hour of trading (default: 09:00-10:00)
2. **PM Session**: Typically the last hour of trading (default: 15:00-16:00)
For each session, it:
- Marks the high and low range
- Establishes breakout levels above/below these ranges
- Detects when price breaks beyond these levels
- Determines if the breakout aligns with the prevailing trend
The trend is calculated using three EMAs (20, 50, 200) for reliable trend identification.
## How To Use
1. Apply the indicator to your chart (works best on 5-minute timeframes)
2. Adjust session times to match your trading schedule if needed
3. Watch for breakouts above session highs (bullish) or below session lows (bearish)
4. Check the information panel to see if the breakout aligns with the trend
5. Enter trades in the direction of trend-aligned breakouts for higher probability setups
6. Set stop losses below the opposite side of the session range
## Settings
- **Session Times**: Customize AM and PM session times
- **EMA Lengths**: Adjust trend determination sensitivity
- **Visualization Options**: Toggle display of sessions, breakouts, and VWAP
- **Alert Settings**: Configure alerts for breakouts and trend-aligned conditions
This indicator is valuable for day traders and swing traders looking for objective entry points with higher probability of success.
NAGRAJ 15-Min Opening Range Breakout (ORB)This indicator will give you the range of first 15 min of opening.
Volume Range Profile with Fair Value (SWAROOPRAM29)This indicator overlays a custom volume profile across two dynamic price zones (upper and lower) within a defined lookback range. It highlights the Point of Control (POC) for each zone — the price level with the highest traded volume — and tracks its movement over time to help identify fair value areas.
🔍 Features:
Dynamic Volume Zones: Automatically calculates upper/lower zones based on a % of the high-low range.
Granular Volume Distribution: Visualizes buy/sell volume using histogram bins inside each zone.
Point of Control (POC): Shows the most active volume bin with optional percentage breakdown (Buy %, Sell %, Total).
Fair Value Drift Line: Plots a moving average of POC to track fair value shifts.
Total Volume Labels: Optionally display total buy/sell volume in each zone.
Trade Entry Logic (Strategy):
Entry on POC touch or midline level.
Supports long, short, or both directions.
Customizable take profit and stop loss levels.
This tool helps traders spot high-volume price acceptance areas, potential reversals, and trend continuations based on volume-weighted logic — ideal for scalping, swing, and volume-based strategies.
brings Smart Money Concept (ICT) session logic to life by plotting key global trading sessions with volume and delta analytics. It not only highlights session ranges but also tracks their midpoints — which often act as intraday support/resistance levels.
KEY FEATURES
Visual session boxes: Plots boxes for Tokyo, London, New York, and Sydney sessions based on user-defined UTC+0 time ranges.
Volume & delta metrics: Displays total volume and delta volume (buy–sell difference) within each session.
Mid, High & Low Range Extension: Once a session ends, the high, low, and midpoint levels automatically extend — ideal for detecting SR zones.
Session labels: Each box includes a label with session name, time, volume, and delta for quick reference.
Custom session control: Enable or disable sessions individually and configure start/end times.
Clean aesthetics: Transparent shaded boxes with subtle borders make it easy to overlay without clutter.
Sessions Dashboard: Shows the time range of each session and tells you whether the session is currently active.
🔵 USAGE
Enable the sessions you want to monitor (e.g., New York or Tokyo) from the settings.
Use session volume and delta values to gauge the strength and direction of institutional activity.
Watch for price interaction with the extended range — it often acts as dynamic support/resistance after the session ends.
Overlay it with liquidity tools or breaker blocks for intraday strategy alignment.
🔵 EXAMPLES
Extended Future Range acted as resistance/support.
ICT Turtle Soup (Liquidity Reversal)ICT Turtle Soup — Liquidity Reversal Detection
Trap the Trap: A Precision Reversal Strategy from the Inner Circle Trader Playbook
This indicator implements the Turtle Soup liquidity reversal setup — a widely used ICT (Inner Circle Trader) concept that targets false breakouts beyond recent swing highs or lows. These patterns typically occur when price grabs liquidity above or below a known level, then snaps back, trapping retail traders and creating a high-probability reversal scenario.
🔍 What This Script Does:
Detects Liquidity Sweeps Above/Below Key Swing Levels
Uses a customizable swing lookback to identify recent swing highs and lows.
Triggers a Bearish Turtle Soup when price runs above a previous swing high and closes back below.
Triggers a Bullish Turtle Soup when price sweeps below a prior swing low and closes back above.
Plots Clear Visual Signals
Reversal signals appear as 🐢🔻 (Bearish) or 🐢🔺 (Bullish) markers directly on your chart.
Optional labels can be enabled for enhanced journaling and review.
Real-Time Alerts
Receive alert notifications when a Turtle Soup setup is detected — ideal for scalpers or intraday traders watching for reversals around liquidity pools.
⚙️ Customization Options:
Set the swing lookback sensitivity (default: 5)
Enable or disable labels
Choose label font size
Customize colors for bullish and bearish signals
💡 How to Use:
Deploy on intraday timeframes (e.g. 5m–15m) for high-resolution liquidity analysis.
Watch for signals at key highs/lows, session extremes, or zones where liquidity is likely resting.
Combine with tools like FVGs, Order Blocks, and OTE zones for layered confirmation.
🔗 Combine With These Tools for a Complete SMC Edge:
✅ First FVG — Opening Range Fair Value Gap Detector
✅ ICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
✅ Liquidity Levels — Smart Swing Lows
Together, these tools form a high-precision Smart Money toolkit — helping traders map, anticipate, and act on institutional-level liquidity events with clarity and confidence.
