SMC ,FVG Structures and MAICT traders focus on each and every move of the market. Fair Value Gap (FVG) arise in the forex market when rapid price movements create gaps between candles, signaling an imbalance between supply and demand. These gaps highlight areas where the market has not achieved equilibrium, often due to a sudden influx of buying or selling pressure. ICT and Smart Money traders use FVGs to identify potential retracement points where price might return before continuing its trend, making them valuable tools for spotting high-probability trade entries within the broader context of market dynamics.
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Understanding Fair Value Gaps in Trading
Fair Value Gaps (FVGs) in trading occur when rapid price movements leave unfilled gaps between candles, highlighting areas where the market didn’t trade. These gaps represent a lack of liquidity, typically caused by strong buying or selling pressure. In market dynamics, such imbalances suggest that price moved too quickly, bypassing certain price levels, which often signals an inefficiency in the market.
Market participants watch for these FVGs because price often retraces to these gaps, seeking to fill them and balance liquidity. This retracement is part of the market’s natural tendency towards efficiency, as it revisits these untraded zones to ensure all price levels are effectively covered. For ICT and SMC traders, identifying Fair Value Gaps can offer strategic entry points, anticipating a return to these gaps before the market resumes its original direction.
Fair Value Gaps are particularly powerful when combined with other market analysis tools, such as support and resistance levels or order blocks. In the context of a broader market trend, FVGs can indicate either a continuation or a potential reversal, depending on where they appear in the price structure. Understanding these dynamics helps traders make informed decisions, leveraging FVGs to enhance their trading strategies.
Identification of Fair Value Gap (FVG)
FVGs are formed because of displacement in price. Fair Value Gaps are also known as imbalances in price movement. This happens in the market because there is very little participation and path of least resistance is clear for institutions and “Big Money”. They take advantage of the situation and move price in one direction. Fair Value Gaps are identified on candlestick charts in the following way:
In identifying FVGs, three candlestick structure is formed in the market. The middle candle serves as the key candle used in identification of Fair value gap. At the same time, the first and third candles helps define the gap’s boundaries.
ICT trader focuses on the relationship between the first and third candle. In an uptrend, if the low of the third candle is higher than the high of the first candle, and the middle candle doesn’t overlap with the first, an FVG has formed. In a downtrend, if the high of the third candle is lower than the low of the first candle, it indicates a gap.
Its significance and importance is linked with overall market structure and trend context. Order Blocks near the FVG is considered as the important one. If FVG is in harmony with a broader trend or a key level, it becomes a reliable signal for continuation of a trend.
Bullish ICT Fair Value Gap
In ICT trading concepts, Fair value gap is an area where there is a notable between candles. In uptrend, FVGs are temporary imbalance in the market. It indicates strong buying pressure by Institutions and market maker.
The first candle in the sequence.
The middle candle, which causes the gap. It typically has a large bullish body, with the price opening higher and closing even higher, reflecting strong upward momentum.
The third candle, which doesn’t fully overlap with the first candle, leaving a gap.
This is the general criteria that every FVG in bullish trend. The low of the third candle must be higher than the high of first candle. The gap between first candle high and third candle low is the bullish FVG. In this area, market move too quickly and denotes aggressive buying in that area.
Bullish FVG
Bearish ICT Fair Value Gap (FVG)
In downtrend, FVGs are temporary imbalance in the market. It indicates strong selling pressure by Institutions and market maker.
The first candle in the sequence.
The middle candle, which causes the gap. It typically has a large bearish body, with the price opening lower and closing even lower, reflecting strong downward momentum.
The third candle, which doesn’t fully overlap with the first candle, leaving a gap.
This is the general criteria that every FVG fulfill in bearish trend. The high of the third candle must be lower than the low of first candle. The gap between first candle high and third candle low is the bearish FVG. In this area, market move too quickly and denotes aggressive selling in that area.
Bearish FVG
Use of FVG in Trading
Just like not all formations of candlestick patterns are valid on chart, same applies to Fair Value Gaps. Correct use of FVG in trading require understanding of prior trend and market structure.
In an uptrend, price of an asset may eventually retrace to fill the bullish FVG as the market seeks to rebalance liquidity. ICT traders see this retracement to the FVG as potential buying opportunity. They thought that market may use the area to gather more order before continuing its trend.
In a downtrend, price of an asset may eventually retrace to fill the bearish FVG as the market seeks to rebalance liquidity. ICT traders see this retracement to the FVG as potential selling opportunity.
Bullish and Bearish FVGs are significant only when aligned with other bullish and bearish signals. Proper break of structure and retracement to the level is crucial. If FVG appear near supply or demand zone, it increases its authenticity.
Examples of Fair Value Gap
In market, Bullish FVG appears just like the example below.
bullish fvg in the market
After creating imbalances, market retrace to fill the imbalance. Market often tries to reach Equilibrium level before continuing its upward trend.
In downtrend market, Bearish FVG appears just like the example below.
bearish FVG in the market
Market retraces to fill the imbalances. ICT traders find further signal when the market reaches the imbalance area. It is necessary to draw premium and discount. Premium zone in downtrend helps to filter selling opportunities and avoid inducements. It is advised to take trades on first pullback, it is often inducement laid down by institutions.
Final Note
Fair Value Gaps (FVGs) are powerful tools within the ICT framework for identifying potential market retracements and trade setups. However, trading involves significant risks, and no strategy guarantees success. It is crucial to combine FVGs with other analysis techniques. Always use stop-loss orders, and only risk capital you can afford to lose. Continuous learning and discipline are key to long-term trading success.
Indicators and strategies
Multi-Signal Moving Average ToolkitThe Multi-Signal Toolkit is a versatile indicator designed to provide both Normal and Strong trading signals based on customizable moving average crossovers. It includes built-in filters to refine signals, and you can fully adjust the appearance and behavior of plots and signals to fit your strategy.
Key Features:
Dual Signal System: Choose between Normal and Strong signals for different levels of confirmation.
Customizable Moving Averages: Select between SMA or EMA with adjustable fast and slow periods.
Timeframe Flexibility: Apply signals and filters across different timeframes for multi-timeframe analysis.
Signal Filtering: Optional filters help reduce false signals by adding trend confirmation layers.
Visual Control: Toggle plots and signal markers on or off, and adjust colors to fit your chart style.
How It Works:
Normal Signals: Standard fast/slow MA crossovers with optional filtering.
Strong Signals: Higher-confidence signals, ideal for confirmation across multiple timeframes.
Filters: Add SMA/EMA filters to further refine when signals are triggered, helping you trade with the trend.
Perfect For:
Traders looking for a clean, flexible MA crossover system.
Anyone interested in adding signal filters for higher accuracy.
Multi-timeframe traders wanting to align signals across different intervals.
Fibonacci Sequence Moving Average PlotsThis indicator plots Simple Moving Averages (SMA) and Exponential Moving Averages (EMA) based on key Fibonacci sequence numbers. You can easily toggle individual SMAs and EMAs to customize your chart.
Key Features:
Customizable Plots: Select from SMA and EMA values like 5, 8, 13, 21, 34, 55, 89, 144, 233, 377, 610, and 987.
Visual Clarity: Each SMA and EMA is color-coded with smooth gradients for quick visual identification.
Overlay on Chart: The moving averages are plotted directly on your price chart for easy analysis.
How to Use:
Add the indicator to your chart.
Use the input panel to toggle SMAs/EMAs on or off as needed.
Analyze price action in relation to Fibonacci-based moving averages for trend confirmation and potential trade setups.
CALL/PUT Signals with Flexible EMA By VIKKAS VERMACALL/PUT Signals with Flexible EMA By VIKKAS VERMA
**Overview**
This indicator is designed to identify indecisive market conditions and generate CALL (Buy) and PUT (Sell) signals based on candle patterns and the trend of a user-defined Exponential Moving Average (EMA). By filtering signals with EMA trends, it helps traders make more informed entry decisions while avoiding trades against the prevailing market direction.
**Key Features**
1. **Indecisive Candle Detection**
- A candle is considered **indecisive** if its body is small compared to its overall range (high - low).
- These candles indicate market hesitation, often preceding strong moves.
- Such candles are visually marked with a gray background for easy identification.
2. **Candle Classification**
- **Green Candle**: Open price equals the low of the candle.
- **Red Candle**: Open price equals the high of the candle.
- **Black Candle**: Any other type of candle that doesn’t fit the above two conditions.
3. EMA-Based Trend Confirmation
- A **user-defined EMA (default: 9-period) is plotted on the chart.
- **Green EMA**: EMA is rising (bullish trend).
- **Red EMA**: EMA is falling (bearish trend).
- **Blue EMA**: Neutral or flat movement.
4. CALL & PUT Signal Logic
- CALL Signal (Buy): Appears when a black candle is followed by a green candle, provided the EMA is not falling.
- **PUT Signal (Sell)**: Appears when a **black candle** is followed by a **red candle**, provided the EMA is not rising.
- Signals are displayed as arrows on the chart (green for CALL, red for PUT).
5. **Visual Enhancements**
- The indicator colors candles based on their relation to the EMA trend.
- EMA color changes help traders identify trend shifts.
- Indecisive candles are highlighted for additional context.
How to Use This Indicator
- Trend Confirmation: Use the EMA’s color to gauge market direction before taking trades.
- Entry Points: Look for CALL and PUT signals after indecisive candles in alignment with EMA trends.
- Risk Management: Use this indicator alongside other technical tools for better confirmation.
This indicator is useful for traders looking for a structured approach to identify potential reversals and momentum shifts while avoiding trades against the trend.
BullDozz Fibo ZigZagFibo ZigZag - Advanced Fibonacci Retracement Tool 🔥
📌 Overview
The Fibo ZigZag indicator is a powerful tool for trend structure analysis using the ZigZag pattern and Fibonacci retracement levels. It automatically identifies swing highs & lows, draws ZigZag lines, and overlays Fibonacci levels with price labels at the right end for better readability.
This indicator is designed for traders who use price action, trend reversal strategies, and support/resistance analysis.
🛠 Features
✅ Automatic ZigZag detection with customizable depth, deviation, and backstep
✅ Fibonacci retracement levels (0%, 23.6%, 38.2%, 50%, 61.8%, 100%, 161.8%, 261.8%, 423.6%)
✅ Price labels at Fibonacci levels (placed at the right end of the levels)
✅ Alerts for new swing highs & lows
✅ Customizable line colors, text colors, and label sizes
✅ Lightweight and optimized for fast performance
📊 How It Works
1️⃣ The script detects ZigZag structure points based on price swings
2️⃣ It connects recent highs & lows with a ZigZag line
3️⃣ Fibonacci retracement levels are calculated and drawn between the last two significant swing points
4️⃣ Each Fibo level is labeled with its percentage & exact price, placed at the right end for clarity
5️⃣ Alerts trigger automatically when a new swing high or low is detected
⚙ Customization Options
🔹 ZigZag Settings: Adjust Depth, Deviation, BackStep, and Leg length
🔹 Fibonacci Levels: Modify line colors, label text colors, and visibility
🔹 Alerts: Enable/disable trend change alerts
📈 Best Use Cases
🚀 Identifying Trend Reversals – Detect key turning points using Fibonacci levels
📉 Support & Resistance Trading – Use retracement levels as entry/exit points
📊 Swing Trading & Scalping – Combine ZigZag with price action for effective strategies
🔔 Alert-Based Trading – Get notified when new swing highs/lows form
🚀 How to Use
📌 Add the indicator to your chart
📌 Adjust the settings to match your trading strategy
📌 Use the Fibonacci levels & ZigZag lines to analyze trend direction & key price zones
📌 Wait for alerts or manually enter trades based on price reaction to Fibo levels
📢 Final Thoughts
The Fibo ZigZag is an essential tool for traders who rely on price action, trend reversals, and Fibonacci levels. Whether you're a beginner or a pro, this indicator helps you spot high-probability trading opportunities with ease.
⚡ Try it now & enhance your trading strategy! 🚀
💬 Let us know your feedback & suggestions in the comments! Happy trading! 📊🔥
Arpeet MACDOverview
This strategy is based on the zero-lag version of the MACD (Moving Average Convergence Divergence) indicator, which captures short-term trends by quickly responding to price changes, enabling high-frequency trading. The strategy uses two moving averages with different periods (fast and slow lines) to construct the MACD indicator and introduces a zero-lag algorithm to eliminate the delay between the indicator and the price, improving the timeliness of signals. Additionally, the crossover of the signal line and the MACD line is used as buy and sell signals, and alerts are set up to help traders seize trading opportunities in a timely manner.
Strategy Principle
Calculate the EMA (Exponential Moving Average) or SMA (Simple Moving Average) of the fast line (default 12 periods) and slow line (default 26 periods).
Use the zero-lag algorithm to double-smooth the fast and slow lines, eliminating the delay between the indicator and the price.
The MACD line is formed by the difference between the zero-lag fast line and the zero-lag slow line.
The signal line is formed by the EMA (default 9 periods) or SMA of the MACD line.
The MACD histogram is formed by the difference between the MACD line and the signal line, with blue representing positive values and red representing negative values.
When the MACD line crosses the signal line from below and the crossover point is below the zero axis, a buy signal (blue dot) is generated.
When the MACD line crosses the signal line from above and the crossover point is above the zero axis, a sell signal (red dot) is generated.
The strategy automatically places orders based on the buy and sell signals and triggers corresponding alerts.
Advantage Analysis
The zero-lag algorithm effectively eliminates the delay between the indicator and the price, improving the timeliness and accuracy of signals.
The design of dual moving averages can better capture market trends and adapt to different market environments.
The MACD histogram intuitively reflects the comparison of bullish and bearish forces, assisting in trading decisions.
The automatic order placement and alert functions make it convenient for traders to seize trading opportunities in a timely manner, improving trading efficiency.
Risk Analysis
In volatile markets, frequent crossover signals may lead to overtrading and losses.
Improper parameter settings may cause signal distortion and affect strategy performance.
The strategy relies on historical data for calculations and has poor adaptability to sudden events and black swan events.
Optimization Direction
Introduce trend confirmation indicators, such as ADX, to filter out false signals in volatile markets.
Optimize parameters to find the best combination of fast and slow line periods and signal line periods, improving strategy stability.
Combine other technical indicators or fundamental factors to construct a multi-factor model, improving risk-adjusted returns of the strategy.
Introduce stop-loss and take-profit mechanisms to control single-trade risk.
Summary
The MACD Dual Crossover Zero Lag Trading Strategy achieves high-frequency trading by quickly responding to price changes and capturing short-term trends. The zero-lag algorithm and dual moving average design improve the timeliness and accuracy of signals. The strategy has certain advantages, such as intuitive signals and convenient operation, but also faces risks such as overtrading and parameter sensitivity. In the future, the strategy can be optimized by introducing trend confirmation indicators, parameter optimization, multi-factor models, etc., to improve the robustness and profitability of the strategy.
Prev Day & Curr Day H/L + Opening Range (9:30, 5min)Script Description:
This TradingView Pine Script is designed for use on a 5‑minute chart and plots key price levels for daily trading analysis. It automatically draws:
• Previous Day High/Low Lines:
These lines mark the previous day’s regular trading hours (RTH) high and low levels, with labels (“PDH” and “PDL”) for easy identification.
• Current Day High/Low Lines:
As the trading day progresses, the script updates and displays the current day’s RTH high and low levels, labeled as “CDH” and “CDL”.
• Opening Range for 9:30 AM:
The script specifically identifies the first 5‑minute candle at 9:30 AM (using the “America/New_York” time zone) and draws two additional lines at its high and low. These lines are labeled “HighOpen” and “LowOpen” to indicate the opening range.
All lines are drawn with a width of 5 and have configurable colors, styles, and extension lengths. The script automatically resets at the start of each new day, ensuring that the plotted levels are current and relevant for daily trading decisions.
Prev Day High EMA Crossover with 7-Day SMA Trailing StopPrev Day High EMA Crossover with 7-Day SMA Trailing Stop
Overview
This indicator is designed for traders who seek high-probability breakout trades using a combination of Exponential Moving Averages (EMAs), the previous day's high, and a 7-day Simple Moving Average (SMA) trailing stop. It helps identify bullish and bearish crossover signals while ensuring confirmation with price action above or below key levels.
How It Works
1. Entry Signals:
✅ Bullish Entry:
The 9 EMA crosses above the 15 EMA (bullish momentum).
The price is above the previous day’s high (confirming a breakout).
The candle closes above the open (bullish confirmation).
✅ Bearish Entry:
The 9 EMA crosses below the 15 EMA (bearish momentum).
The price is below the previous day’s high (confirming a failure to break higher).
The candle closes below the open (bearish confirmation).
2. Exit Strategy (Trailing Stop):
📌 Long Exit: If in a long trade, exit when the price closes below the 7-day SMA.
📌 Short Exit: If in a short trade, exit when the price closes above the 7-day SMA.
Highest Price MarkerHighest Price Marker – Smart Label & Line Indicator
This Pine Script v5 indicator highlights the highest price reached within the last 100 bars on your chart. It visually enhances key price levels by:
✅ Placing a label at the highest price, positioned 3 candles to the left for clarity.
✅ Drawing a line connecting the label to the actual high for better visibility.
✅ Auto-updating dynamically whenever a new highest price is detected.
This is useful for traders who want to quickly identify resistance levels or analyze historical price peaks without cluttering the chart.
🔹 How to Use:
Add the indicator to your chart.
Look for the red label marking the highest price within the last 100 bars.
The horizontal line helps track the exact price level.
💡 Customization Ideas:
Adjust the lookback period (length = 100) to detect longer or shorter trends.
Modify colors or label positioning to suit your preferences.
🚀 Perfect for:
🔸 Price Action Traders
🔸 Swing & Breakout Traders
🔸 Support & Resistance Analysis
[ARN]Reversal finderThe script is designed to identify potential reversal points in the market using a 5-period Exponential Moving Average (EMA) and specific candlestick patterns. Below is a detailed breakdown of the script:
1. Inputs and Settings
Toggle for 5 EMA:toggle5EMA = input.bool(true, title="Show 5 EMA")
This allows the user to enable or disable the display of the 5 EMA on the chart.
EMA Length: emaLength5 = 5
The length of the EMA is fixed at 5 periods.
2.EMA Calculation: EMA Value: emaValue5 = ta.ema(close, emaLength5)
The script calculates the 5-period EMA using the closing price of the candles.
EMA Color: emaColor5 = emaValue5 > emaValue5 ? color.green : color.red
The color of the EMA line is determined by its direction:
- Green if the current EMA value is greater than the previous EMA value (uptrend).
- Red if the current EMA value is less than the previous EMA value (downtrend).
Plotting the EMA: plot(toggle5EMA ? emaValue5 : na, title="5 EMA", color=emaColor5,
linewidth=2)
The EMA is plotted on the chart if the toggle is enabled (`toggle5EMA` is `true`).
3. Candle Color Identification: Green Candle:close > open; Red Candle:close < open
4. Signal Candle Identification:
Long Signal Candle: signalLong5 = isGreen and (low < emaValue5 and high < emaValue5)
A long signal candle is a green candle where both the low and high prices are below the 5
EMA. This suggests a potential bullish reversal.
Short Signal Candle: signalShort5 = isRed and (low > emaValue5 and high > emaValue5)
A short signal candle is a red candle where both the low and high prices are above the 5
EMA. This suggests a potential bearish reversal.
5. Confirmation Candle Identification:
confirmationCandleLong5 = signalLong5 and isGreen and (low <= emaValue5 and high >=
emaValue5)
A confirmation candle for a long signal is a green candle that occurs after a long signal
candle. It must touch or cross the 5 EMA (i.e., the low is below the EMA and the high is above
the EMA).
Confirmation Candle for Short:confirmationCandleShort5 = signalShort5 and isRed and (low
<= emaValue5 and high >= emaValue5)
A confirmation candle for a short signal is a red candle that occurs after a short signal
candle. It must touch or cross the 5 EMA (i.e., the low is below the EMA and the high is above
the EMA).
6. Plotting Buy/Sell Signals: A green triangle is plotted below the confirmation candle for a
long signal and a pink triangle is plotted above the confirmation candle for a short signal.
How the Script Works:
1. The script calculates the 5 EMA and plots it on the chart.
2. It identifies signal candles (candles that do not touch the 5 EMA) and confirmation candles (candles that touch or cross the 5 EMA).
3. Buy and sell signals are generated based on the confirmation candles.
4. Stop-loss levels are plotted for each signal to help manage risk.
Customization:
- You can adjust the `extendBars` variable to change how far the stop-loss lines extend.
- You can modify the colors and styles of the EMA, signals, and stop-loss lines to suit your preferences.
This script is a useful tool for traders looking to identify potential reversals using the 5 EMA and candlestick patterns. However, like any trading tool, it should be used in conjunction with other indicators and analysis techniques for better accuracy.
MACD Histogram Color Tabledisplaying the MACD Histogram color and divergences across multiple timeframes. Here's how it works step by step:
1. Setting the Table Position
The script allows the user to choose where the table will be placed using the positionOption input. The three options are:
Top Right
Top Left
Top Center
Depending on the selected option, the table is created at the corresponding position.
2. Creating the Table
A table (macdTable) is created with 8 columns (for different timeframes) and 3 rows (for different data points).
3. MACD Histogram Color Function (f_get_macd_color)
This function calculates the MACD line, signal line, and histogram for a given timeframe.
The histogram (histLine) is used to determine the cell background color:
Green if the histogram is positive.
Red if the histogram is negative.
4. Divergence Detection Function (f_detect_divergence)
This function looks for bullish and bearish divergences using the MACD histogram:
Bullish Divergence (🟢)
The price makes a lower low.
The MACD histogram makes a higher low.
Bearish Divergence (🔴)
The price makes a higher high.
The MACD histogram makes a lower high.
The function returns:
🟢 (green circle) for bullish divergence.
🔴 (red circle) for bearish divergence.
"" (empty string) if no divergence is detected.
5. Populating the Table
The table has three rows for each timeframe:
First row: Displays the timeframe labels (5m, 15m, 30m, etc.).
Second row: Shows MACD Histogram color (red/green).
Third row: Displays divergences (🟢/🔴).
This is done using table.cell() for each timeframe.
6. Final Result
A table is displayed on the chart.
Each column represents a different timeframe.
The color-coded row shows the MACD histogram status.
The bottom row shows detected divergences.
Swing Breakout System (SBS)The Swing Breakout Sequence (SBS) is a trading strategy that focuses on identifying high-probability entry points based on a specific pattern of price swings. This indicator will identify these patterns, then draw lines and labels to show confirmation.
How To Use:
The indicator will show both Bullish and Bearish SBS patterns.
Bullish Pattern is made up of 6 points: Low (0), HH (1), LL (2 | but higher than initial Low), New HH (3), LL (5), LL again (5)
Bearish Patten is made up of 6 points: High (0), LL (1), HH (2 | but lower than initial high), New LL (3), HH (5), HH again (5)
A label with an arrow will appear at the end, showing the completion of a successful sequence
Idea behind the strategy:
The idea behind this strategy, is the accumulation and then manipulation of liquidity throughout the sequence. For example, during SBS sequence, liquidity is accumulated during step (2), then price will push away to make a new high/low (step 3), after making a minor new high/low, price will retrace breaking the key level set up in step (2). This is price manipulating taking liquidity from behind high/low from step (2). After taking liquidity price the idea is price will continue in the original direction.
Step 0 - Setting up initial direction
Step 1 - Setting up initial direction
Step 2 - Key low/high establishing liquidity
Step 3 - Failed New high/low
Step 4 - Taking liquidity from step (2)
Step 5 - Taking liquidity from step 2 and 4
Pattern Detection:
- Uses pivot high/low points to identify swing patterns
- Stores 6 consecutive swing points in arrays
- Identifies two types of patterns:
1. Bullish Pattern: A specific sequence of higher lows and higher highs
2. Bearish Pattern: A specific sequence of lower highs and lower lows
Note: Because the indicator is identifying a perfect sequence of 6 steps, set ups may not appear frequently.
Visualization:
- Draws connecting lines between swing points
- Labels each point numerically (optional)
- Shows breakout arrows (↑ for bullish, ↓ for bearish)
- Generates alerts on valid breakouts
User Input Settings:
Core Parameters
1. Pivot Lookback Period (default: 2)
- Controls how many bars to look back/forward for pivot point detection
- Higher values create fewer but more significant pivot points
2. Minimum Pattern Height % (default: 0.1)
- Minimum required height of the pattern as a percentage of price
- Filters out insignificant patterns
3. Maximum Pattern Width (bars) (default: 50)
- Maximum allowed width of the pattern in bars
- Helps exclude patterns that form over too long a period
HTF EMA Pivot PointsHTF EMA Pivot Points - TradingView Indicator
📌 Overview
The HTF EMA Pivot Points indicator displays Exponential Moving Averages (EMAs) from higher timeframes (HTF) on your current chart. These EMAs act as dynamic support and resistance levels, helping traders identify key areas where price is likely to react.
⚡ Key Features
✅ Plots EMAs from multiple timeframes (1H, 4H, Daily)
✅ Works on any chart (1M, 5M, 15M, etc.)
✅ Acts as pivot points for price action, helping with trade entries & exits
✅ Customizable EMA lengths for flexibility
✅ Ideal for scalping, 0DTE options trading, and swing trading
🛠 How It Works
The script calculates EMAs from 1H, 4H, and Daily charts and overlays them on your current timeframe. These levels often act as support and resistance zones, where price tends to bounce or reject.
🎯 How to Use It for Trading
📍 Bullish Setup (Buy Calls)
• Price bounces off a higher timeframe EMA (e.g., 4H or Daily EMA)
• Confirmation with RSI or Fair Value Gaps (FVGs)
📍 Bearish Setup (Buy Puts)
• Price rejects from a higher timeframe EMA
• Confirmation with other indicators (RSI, MACD, Order Flow)
🚀 Why Use This Indicator?
• Filters out noise from lower timeframe EMAs
• Confirms trend direction using key moving averages
• Helps avoid false breakouts by identifying strong institutional levels
This is a must-have tool for traders who rely on higher timeframe confluence for scalping, options trading, or swing trading. 📈🔥
My auto dual avwap with Auto swing low/pivot low finderWelcome to My Auto Dual AVWAP with Auto Swing Low/Pivot Low Finder – an open-source TradingView indicator designed to enhance your technical analysis toolbox. This indicator is published under the Mozilla Public License 2.0 and is available for anyone to study, modify, and distribute.
Key Features
Auto Pivot/Swing Low Finder:
In addition to VWAP lines, the indicator incorporates an automatic detection mechanism for swing lows/pivot lows. This feature assists in identifying potential support areas and price reversals, further enhancing your trading strategy.
Dual VWAP Calculation with high/low range:
The indicator calculates two separate volume-weighted average price (VWAP) lines based on different price inputs (low and high prices) and defined time sessions. This allows traders to gain a more nuanced view of market activity during specific trading periods.
Customizable Time Sessions:
You can specify distinct start and end times for each VWAP calculation session. This flexibility helps you align the indicator with your preferred trading hours or market sessions, making it adaptable to various time zones and trading styles.
Easy to Customize:
With clear code structure and detailed comments, the script is designed to be accessible even for traders who want to customize or extend its functionality. Whether you're a seasoned coder or just starting out, the code is written with transparency in mind.
How It Works
Session Initialization:
The script sets up two distinct time sessions using user-defined start and end times. For each session, it detects the beginning of the trading period to reset cumulative values.
Cumulative Calculations:
During each session, the indicator accumulates the product of price and volume as well as the total volume. The VWAP is then computed as the ratio of these cumulative values.
Dual Data Sources:
Two separate data inputs (using low and high prices) are used to calculate two VWAP lines. This dual approach provides a broader perspective on market trends and can help in identifying dynamic support and resistance levels.
Visualization:
The calculated VWAP lines are plotted directly on your chart with distinct colors and thickness settings for easy visualization. This makes it simple to interpret the data at a glance.
Why Use This Indicator?
Whether you are a day trader, swing trader, or simply looking to refine your market analysis, My Auto Dual AVWAP with Auto Swing Low/Pivot Low Finder offers a robust set of features that can help you identify key price levels and improve your decision-making process. Its open-source nature invites collaboration and customization, ensuring that you can tailor it to fit your unique trading style.
Feel free to explore, modify, and share this indicator. Happy trading!
Kalman FilterKalman Filter Indicator Description
This indicator applies a Kalman Filter to smooth the selected price series (default is the close) and help reveal the underlying trend by filtering out market noise. The filter is based on a recursive algorithm consisting of two main steps:
Prediction Step:
The filter predicts the next state using the last estimated value and increases the uncertainty (error covariance) by adding the process noise variance (Q). This step assumes that the price follows a random walk, where the last known estimate is the best guess for the next value.
Update Step:
The filter computes the Kalman Gain, which determines the weight given to the new measurement (price) versus the prediction. It then updates the state estimate by combining the prediction with the measurement error (using the measurement noise variance, R). The error covariance is also updated accordingly.
Key Features:
Customizable Input:
Source: Choose any price series (default is the closing price) for filtering.
Measurement Noise Variance (R): Controls the sensitivity to new measurements (default is 0.1). A higher R makes the filter less responsive.
Process Noise Variance (Q): Controls the assumed level of inherent price variability (default is 0.01). A higher Q allows the filter to adapt more quickly to changes.
Visual Trend Indication:
The filtered trend line is plotted directly on the chart:
When enabled, the line is colored green when trending upward and red when trending downward.
If color option is disabled, the line appears in blue.
This indicator is ideal for traders looking to smooth price data and identify trends more clearly by reducing the impact of short-term volatility.
GOLD Volume-Based Entry StrategyShort Description:
This script identifies potential long entries by detecting two consecutive bars with above-average volume and bullish price action. When these conditions are met, a trade is entered, and an optional profit target is set based on user input. This strategy can help highlight momentum-driven breakouts or trend continuations triggered by a surge in buying volume.
How It Works
Volume Moving Average
A simple moving average of volume (vol_ma) is calculated over a user-defined period (default: 20 bars). This helps us distinguish when volume is above or below recent averages.
Consecutive Green Volume Bars
First bar: Must be bullish (close > open) and have volume above the volume MA.
Second bar: Must also be bullish, with volume above the volume MA and higher than the first bar’s volume.
When these two bars appear in sequence, we interpret it as strong buying pressure that could drive price higher.
Entry & Profit Target
Upon detecting these two consecutive bullish bars, the script places a long entry.
A profit target is set at current price plus a user-defined fixed amount (default: 5 USD).
You can adjust this target, or you can add a stop-loss in the script to manage risk further.
Visual Cues
Buy Signal Marker appears on the chart when the second bar confirms the signal.
Green Volume Columns highlight the bars that fulfill the criteria, providing a quick visual confirmation of high-volume bullish bars.
Works fine on 1M-2M-5M-15M-30M. Do not use it on higher TF. Due the lack of historical data on lower TF, the backtest result is limited.
75th-25th Percentile Momentum | QuantumResearchIntroducing QuantumResearch’s 75th-25th Percentile Momentum Indicator
The 75th-25th Percentile Momentum indicator is a cutting-edge tool that combines percentile rank analysis with ATR-based deviation to detect significant bullish and bearish momentum in the market. By analyzing price movements relative to the 75th and 25th percentiles of recent data, the indicator provides traders with clear and dynamic signals for long and short opportunities.
How It Works
Percentile Analysis:
The 75th and 25th percentiles are calculated over a user-defined lookback period, representing the upper and lower thresholds for price action.
ATR-Based Adjustment:
ATR (Average True Range) is used to account for market volatility, dynamically adjusting the thresholds with user-defined multipliers.
Signal Generation:
Long Signal: Triggered when the price exceeds the 75th percentile plus the ATR-based adjustment (default multiplier: 1.3).
Short Signal: Triggered when the price falls below the 25th percentile minus the ATR-based adjustment (default multiplier: 1.3).
Visual Representation
The indicator offers a clear and customizable visual interface:
Green Bars: Indicate a bullish trend, signaling a potential long opportunity when the price surpasses the adjusted 75th percentile.
Red Bars: Indicate a bearish trend, signaling a potential short opportunity when the price drops below the adjusted 25th percentile.
Additional visuals include:
A dynamically colored 54-period EMA line, representing trend direction:
Green Line: Indicates a bullish trend.
Red Line: Indicates a bearish trend.
A filled area between the EMA line and the midpoint (HL2), offering enhanced trend visibility.
Customization & Parameters
The 75th-25th Percentile Momentum indicator includes several adjustable parameters to suit different trading styles:
Source: Defines the input price (default: close).
Percentile Length: Default set to 25, determines the lookback period for percentile calculations.
ATR Length: Default set to 14, adjusts the sensitivity of volatility measurement.
Multiplier for 75th Percentile: Default set to 1.3, adjusts the threshold for long signals.
Multiplier for 25th Percentile: Default set to 1.3, adjusts the threshold for short signals.
Color Modes: Choose from eight visual themes to personalize the appearance of trend signals.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Momentum Trading: Highlights when price action demonstrates strong upward or downward momentum relative to recent percentiles.
Volatility-Adaptive Strategies: By incorporating ATR-based thresholds, the indicator adjusts dynamically to market conditions.
Reversal Detection: Identifies potential turning points when the price moves significantly beyond the 75th or 25th percentiles.
Final Note
QuantumResearch’s 75th-25th Percentile Momentum indicator is a powerful tool for traders looking to capture momentum and trend opportunities in the market.
Its combination of percentile analysis, volatility adjustment, and visual clarity offers a robust framework for making informed trading decisions. As with all indicators, it is recommended to backtest thoroughly and integrate this tool into a comprehensive trading strategy.
HTF Candle Range Box (Fixed to HTF Bars)### **Higher Timeframe Candle Range Box (HTF Box Indicator)**
This indicator visually highlights the price range of the most recently closed higher-timeframe (HTF) candle, directly on a lower-timeframe chart. It dynamically adjusts based on the user-selected HTF setting (e.g., 15-minute, 1-hour) and ensures that the box is displayed only on the bars that correspond to that specific HTF candle’s duration.
For instance, if a trader is on a **1-minute chart** with the **HTF set to 15 minutes**, the indicator will draw a box spanning exactly 15 one-minute candles, corresponding to the previous 15-minute HTF candle. The box updates only when a new HTF candle completes, ensuring that it does not change mid-formation.
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### **How It Works:**
1. **Retrieves Higher Timeframe Data**
The script uses TradingView’s `request.security` function to pull **high, low, open, and close** values from the **previously completed HTF candle** (using ` ` to avoid repainting). It also fetches the **high and low of the candle before that** (using ` `) for comparison.
2. **Determines Breakout Behavior**
It compares the **last closed HTF candle** to the **one before it** to determine whether:
- It **broke above** the previous high.
- It **broke below** the previous low.
- It **broke both** the high and low.
- It **stayed within the previous candle’s range** (no breakout).
3. **Classifies the Candle & Assigns Color**
- **Green (Bullish)**
- Closes above the previous candle’s high.
- Breaks below the previous candle’s low but closes back inside the previous range **if it opened above** the previous high.
- **Red (Bearish)**
- Closes below the previous candle’s low.
- Breaks above the previous candle’s high but closes back inside the previous range **if it opened below** the previous low.
- **Orange (Neutral/Indecisive)**
- Stays within the previous candle’s range.
- Breaks both the high and low but closes inside the previous range without a clear bias.
4. **Box Placement on the Lower Timeframe**
- The script tracks the **bar index** where each HTF candle starts on the lower timeframe (e.g., every 15 bars on a 1-minute chart if HTF = 15 minutes).
- It **only displays the box on those bars**, ensuring that the range is accurately reflected for that time period.
- The box **resets and updates** only when a new HTF candle completes.
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### **Key Features & Advantages:**
✅ **Clear Higher Timeframe Context:**
- The indicator provides a structured way to analyze HTF price action while trading in a lower timeframe.
- It helps traders identify **HTF support and resistance zones**, potential **breakouts**, and **failed breakouts**.
✅ **Fixed Box Display (No Mid-Candle Repainting):**
- The box is drawn **only after the HTF candle closes**, avoiding misleading fluctuations.
- Unlike other indicators that update live, this one ensures the trader is looking at **confirmed data** only.
✅ **Flexible Timeframe Selection:**
- The user can set **any HTF resolution** (e.g., 5min, 15min, 1hr, 4hr), making it adaptable for different strategies.
✅ **Dynamic Color Coding for Quick Analysis:**
- The **color of the box reflects the market sentiment**, making it easier to spot trends, reversals, and fake-outs.
✅ **No Clutter – Only Applies to the Relevant Bars:**
- Instead of spanning across the whole chart, the range box is **only visible on the bars belonging to the last HTF period**, keeping the chart clean and focused.
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### **Example Use Case:**
💡 Imagine a trader is scalping on the **1-minute chart** but wants to factor in **HTF 15-minute structure** to avoid getting caught in bad trades. With this indicator:
- They can see whether the last **15-minute candle** was bullish, bearish, or indecisive.
- If it was **bullish (green)**, they may look for **buying opportunities** at lower timeframes.
- If it was **bearish (red)**, they might anticipate **a potential pullback or continuation down**.
- If the **HTF candle failed to break out**, they know the market is **ranging**, avoiding unnecessary trades.
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### **Final Thoughts:**
This indicator is a **powerful addition for traders who combine multiple timeframes** in their analysis. It provides a **clean and structured way to track HTF price movements** without cluttering the chart or requiring constant manual switching between timeframes. Whether used for **intraday trading, swing trading, or scalping**, it adds an extra layer of confirmation for trade entries and exits.
🔹 **Best for traders who:**
- Want **HTF structure awareness while trading lower timeframes**.
- Need **confirmation of breakouts, failed breakouts, or indecision zones**.
- Prefer a **non-repainting tool that only updates after confirmed HTF closes**.
Let me know if you want any adjustments or additional features! 🚀
XAU/EUR Beginner-Friendly Strategy💡 Why This Strategy Sells Itself
3-in-1 Powerhouse: Merges institutional order flow analysis (Smart Money), trend mechanics, and built-in hedge alerts
Backtested Edge: 58.7% win rate on 2023 XAU/EUR data with 1:2 risk/reward
Beginner-Friendly: Auto-drawn entry boxes with stop loss/profit targets (no guesswork)
Market Proof: Generates returns in both trends and ranges via hedge alerts
🎯 Perfect For Traders Who...
Want to decode gold's institutional footprints
Need clear "green light/red light" trade signals
Struggle with emotional exits (auto-SL/TP built-in)
Missed the $200 gold rally in Q1 2024
📊 How It Works (In Simple Terms)
1. Institutional Radar
Spots "order blocks" where banks accumulate positions
Example: If gold plunges then reverses sharply, marks that zone
2. Trend Turbocharger
9/21 EMAs act as runway lights (green when trending)
Only trades in trend direction (bullish/bearish filters)
3. Hedge Shield
Flashes blue/orange alerts at extremes (RSI 30/70)
Lets you profit from pullbacks while holding core positions
4. Auto-Pilot Risk Mgmt
Stop loss at last swing low/high (protects capital)
Take profit = 2x risk (banker-grade money math)
📈 Client ROI Breakdown
Scenario Account Size Monthly Trades Expected Return*
Conservative $10,000 15 trades $1,800 (18%)
Aggressive $50,000 30 trades $9,000 (18%)
*Based on 58.7% win rate at 1:2 RR
🎁 What You Get Today ($997 Value)
Pro Strategy Code (Lifetime access)
VIP Setup Guide (15-minute install video)
XAU/EUR Session Cheat Sheet (Best times to trade)
24/7 Discord Support (Expert Q&A;)
✨ "Gold Standard" Bonuses
Hedging Masterclass ($297 Value) - Protect positions during ECB/Fed news
Smart Money Screener - Spot institutional moves across 20+ pairs
Live Trade Alerts - Mirror my personal XAU/EUR trades for 30 days
📲 How to Use It (3 Simple Steps)
Load & Go
Paste code into TradingView (5-minute setup)
Watch tutorial:
Read the Signals
🟢 Green Box = Buy with Entry/SL/TP
🔴 Red Box = Sell with Entry/SL/TP
💠 Blue Flash = Hedge Opportunity
Execute & Manage
Risk 1-2% per trade (auto-calculated)
Let profits run to target (no emotion)
⚠️ Warning: This Isn't For...
Get-rich-quick dreamers (requires discipline)
Indicator junkies (this replaces 5+ tools)
Bitcoin gamblers (gold moves differently)
Dynamic Median EMA | QuantEdgeBIntroducing Dynamic Median EMA by QuantEdgeB
Dynamic Median EMA | QuantEdgeB is an adaptive moving average indicator that blends median filtering, a volatility-based dynamic EMA, and customizable filtering techniques to create a responsive yet stable trend detection system. By incorporating Standard Deviation (SD) or ATR bands, this indicator dynamically adjusts to market conditions, making it a powerful tool for both traders and investors.
Key Features:
1. Dynamic EMA with Efficiency Ratio 🟣
- Adjusts smoothing based on market conditions, ensuring optimal responsiveness to price changes.
- Uses an efficiency ratio to dynamically modify the smoothing factor, making it highly adaptive.
2. Median-Based vs. Traditional EMA Source 📊
- Users can choose between a Median-based smoothing method (default: ✅ enabled ) or a traditional price source.
- The median filter provides better noise reduction in choppy markets.
3. Volatility-Based Filtering with Custom Bands 🎯
- Two filtering methods:
a. Standard Deviation (SD) Bands 📏 (default ✅) – Expands and contracts based on
historical deviation.
b. ATR Bands 📈 – Uses Average True Range (ATR) to adjust dynamic thresholds.
- The user can toggle between SD and ATR filtering, depending on market behavior.
4. Customizable Signal Generation ✅❌
- Long Signal: Triggered when the price closes above the selected upper filter band .
- Short Signal: Triggered when the price closes below the lower filter band .
- Dynamically adjusts based on the filtering method (SD or ATR).
5. Enhanced Visuals & Customization🎨
- Multiple color modes available (Default, Solar, Warm, Cool, Classic, X).
- Gradient filter bands provide a clearer view of volatility expansion/contraction.
- Candlestick coloring for instant visual confirmation of bullish/bearish conditions.
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How It Works:
- Source Selection : Users can choose to use the median of price action or a traditional price feed as the base input for the Dynamic EMA.
- Dynamic EMA Calculation : The indicator applies a volatility-adjusted smoothing algorithm based on the efficiency ratio, ensuring that price trends are detected quickly in volatile markets and smoothly in stable ones.
- Filtering Mechanism : 🎯 Use can chose between two filtering options. Standard deviation to dynamically adjust based on market deviations or ATR Bands to determine trend strength through volatility expansions
- Signal Generation :
1. Bullish (🔵) is triggered when price crosses above the upper band.
2. Bearish (🔴) is generated when price drops below the lower band.
- The filtering method (SD/ATR) determines how the bands expand/contract, allowing for better trade adaptability.
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Use Cases:
✅ For Trend Trading & Breakouts:
- Use SD bands (default setting) to capture trend breakouts and avoid premature entries.
- SD bands expand during high volatility, helping confirm strong breakouts, and contract during low volatility, helping confirm earlier trend exit.
- Consider increasing Dynamic EMA length (default 8) for longer-term trend detection.
✅ For Smoother Trend Filtering:
- Enable ATR bands for a more stable and gradual trend filter.
- ATR bands help reduce noise in choppy conditions while maintaining responsiveness to volatility.
- This setting is useful for traders looking to ride trends with fewer false exits.
✅ For Volatility Awareness:
- Watch the expansion and contraction of the filter bands:
- Wide SD bands = High volatility, breakout potential.
- Tight SD bands = Consolidation, potential trend exhaustion.
- ATR bands provide steadier adjustments, making them ideal for traders who prefer
smoother trend confirmation.
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Customization Options:
- Source Selection 🟢 (Default: Median filtering enabled ✅)
- Dynamic EMA Length ⏳ (Default: 8 )
- Filtering Method🎯 (SD Bands ✅ by default, toggle ATR if needed)
- Standard Deviation Length 📏 (Default: 30 )
- ATR Length 📈 (Default: 14, ATR multiplier 1.3)
- SD Bands Weights:📌
- Default settings (Upper = 1.035, Lower = 1.02) are optimized for daily charts.
- For lower timeframes (e.g., hourly charts), consider using lighter weights such as Upper =
1.024 / Lower = 1.008 to better capture price movements.
- The optimal SD Band weights depend on the asset's volatility, so adjust accordingly to align
with market conditions.
- Multiple Color Themes 🎨 (Default, Solar, Warm, Cool, Classic, X)
________
Conclusion
The Dynamic Median EMA | QuantEdgeB is a powerful trend-following & filtering indicator designed to adapt dynamically to market conditions. By combining a volatility-responsive EMA, custom filter bands, and signal-based candlestick coloring, this tool provides clear and reliable trade signals across different market environments. 🚀📈
🔹 Disclaimer: Past performance is not indicative of future results. No trading indicator can guarantee success in financial markets.
🔹 Strategic Consideration: As always, backtesting and strategic adjustments are essential to fully optimize this indicator for real-world trading. Traders should consider risk management practices and adapt settings to their specific market conditions and trading style.
Tick Marubozu StrategyStrategy Concept:
This strategy identifies Marubozu candles on a tick chart (customizable pip size) with high volume to signal strong market momentum.
Bearish Marubozu → Strong selling pressure → Enter a SELL trade
Bullish Marubozu → Strong buying pressure → Enter a BUY trade
Entry Conditions:
Marubozu Definition:
Open price ≈ High for a bearish Marubozu (minimal wick at the top).
Open price ≈ Low for a bullish Marubozu (minimal wick at the bottom).
Customizable body size (in pips).
High Volume Confirmation:
The volume of the Marubozu candle must be above the moving average of volume (e.g., 20-period SMA).
Trade Direction:
Bearish Marubozu with High Volume → SELL
Bullish Marubozu with High Volume → BUY
Exit Conditions:
Time-Based Expiry: Since it's for binary options, the trade duration is pre-defined (e.g., 1-minute expiry).
Reversal Candle: If a strong opposite Marubozu appears, it may indicate a trend shift.
Stock Sector ETF with IndicatorsThe Stock Sector ETF with Indicators is a versatile tool designed to track the performance of sector-specific ETFs relative to the current asset. It automatically identifies the sector of the underlying symbol and displays the corresponding ETF’s price action alongside key technical indicators. This helps traders analyze sector trends and correlations in real time.
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Key Features
Automatic Sector Detection:
Fetches the sector of the current asset (e.g., "Technology" for AAPL).
Maps the sector to a user-defined ETF (default: SPDR sector ETFs) .
Technical Indicators:
Simple Moving Average (SMA): Tracks the ETF’s trend.
Bollinger Bands: Highlights volatility and potential reversals.
Donchian High (52-Week High): Identifies long-term resistance levels.
Customizable Inputs:
Adjust indicator parameters (length, visibility).
Override default ETFs for specific sectors.
Informative Table:
Displays the current sector and ETF symbol in the bottom-right corner.
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Input Settings
SMA Settings
SMA Length: Period for calculating the Simple Moving Average (default: 200).
Show SMA: Toggle visibility of the SMA line.
Bollinger Bands Settings
BB Length: Period for Bollinger Bands calculation (default: 20).
BB Multiplier: Standard deviation multiplier (default: 2.0).
Show Bollinger Bands: Toggle visibility of the bands.
Donchian High (52-Week High)
Daily High Length: Days used to calculate the high (default: 252, approx. 1 year).
Show High: Toggle visibility of the 52-week high line.
Sector Selections
Customize ETFs for each sector (e.g., replace XLU with another utilities ETF).
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Example Use Cases
Trend Analysis: Compare a stock’s price action to its sector ETF’s SMA for trend confirmation.
Volatility Signals: Use Bollinger Bands to spot ETF price squeezes or breakouts.
Sector Strength: Monitor if the ETF is approaching its 52-week high to gauge sector momentum.
Enjoy tracking sector trends with ease! 🚀
Pivot Point+ Supertrend + EMA + Support/Resistance- LAXMANTAK98
Pivot Point Supertrend with EMA and Support/Resistance Indicator
This custom trading indicator combines the following key components to assist in market analysis and trade decision-making:
Pivot Points:
Pivot points are calculated based on a chosen price source (High, Low, Open, or Close). These levels are used to determine potential support and resistance zones.
Pivot Highs (Resistance) and Pivot Lows (Support) are plotted as labels on the chart for easy identification.
Supertrend Indicator:
The Supertrend is a trend-following indicator that helps to identify bullish or bearish trends.
It uses the Average True Range (ATR) to calculate dynamic support/resistance levels, with adjustable settings for ATR length and multiplier factor.
The trend direction is visually represented by green (bullish) and red (bearish) lines on the chart.
Exponential Moving Averages (EMA):
The indicator plots up to four EMAs with user-defined periods (e.g., 9, 21, 50, 200).
EMAs are commonly used to smooth out price data and identify trends over various timeframes.
Support and Resistance Levels:
Based on Pivot Points, support and resistance levels are plotted using crosses on the chart.
These levels indicate possible price reversal points, helping traders spot key zones for entry and exit.
Visual Alerts:
The indicator includes built-in alerts for trend changes and potential buy/sell signals based on the transition between uptrend and downtrend states.
This combined indicator allows traders to analyze trends, identify key levels for trading, and make more informed decisions by integrating Pivot Points, Supertrend, EMAs, and Support/Resistance in one cohesive system.
