Volume Trend Analysis ProKey Features of Volume Analysis Script
1. Volume Threshold Detection
Identifies significant volume spikes
Compares current volume against 20-period moving average
Configurable sensitivity for precise signal generation
2. Trend Confirmation Mechanisms
Uses short and long-term moving averages
Validates volume signals with price action
Reduces false positive trading signals
3. Advanced Visualization
Color-coded volume bars
Triangular buy/sell signal markers
Clear visual representation of volume dynamics
4. Risk Management Components
Customizable volume threshold
Deviation sensitivity adjustment
Built-in alert conditions for real-time monitoring
Candlestick analysis
FTD & DD AnalyzerFTD & DD Analyzer
A comprehensive tool for identifying Follow-Through Days (FTDs) and Distribution Days (DDs) to analyze market conditions and potential trend changes, based on William J. O'Neil's proven methodology.
About the Methodology
This indicator implements the market analysis techniques developed by William J. O'Neil, founder of Investor's Business Daily and author of "How to Make Money in Stocks." O'Neil's research, spanning market data back to the 1880s, has successfully identified major market turns throughout history. His FTD and DD concepts remain crucial tools for institutional investors and serious traders.
Overview
This indicator helps traders identify two critical market conditions:
Distribution Days (DDs) - days of institutional selling pressure
Follow-Through Days (FTDs) - confirmation of potential market bottoms and new uptrends
The combination of these signals provides valuable insight into market health and potential trend changes.
Key Features
Distribution Day detection with customizable criteria
Follow-Through Day identification based on classical methodology
Market bottom detection using EMA analysis
Dynamic warning system for accumulated Distribution Days
Visual alerts with customizable labels
Advanced debug mode for detailed analysis
Flexible display options for different trading styles
Distribution Days Analysis
What is a Distribution Day?
A Distribution Day occurs when:
The price closes lower by a specified percentage (default -0.2%)
Volume is higher than the previous day
DD Settings
Price Threshold: Minimum price decline to qualify (default -0.2%)
Lookback Period: Number of days to analyze for DD accumulation (default 25)
Warning Levels:
First warning at 4 DDs
Severe warning (SOS - Sign of Strength) at 6 DDs
Display Options:
Show/hide DD count
Show/hide DD labels
Choose between showing all DDs or only within lookback period
Follow-Through Day Detection
What is a Follow-Through Day?
Following O'Neil's research, a Follow-Through Day confirms a potential market bottom when:
Occurs between day 4 and 13 after a bottom formation (optimal: days 4-7)
Shows significant price gain (default 1.5%)
Accompanied by higher volume than the previous day
Key Statistics:
FTDs followed by distribution on days 1-2 fail 95% of the time
Distribution on day 3 leads to 70% failure rate
Later distribution (days 4-5) shows only 30% failure rate
FTD Settings
Minimum Price Gain: Required percentage gain (default 1.5%)
Valid Window: Day 4 to Day 13 after bottom
Quality Rating:
🚀 for FTDs occurring within 7 days (historically most reliable)
⭐ for later FTDs
Market Bottom Detection
The indicator uses a sophisticated approach to identify potential market bottoms:
EMA Analysis:
Tracks 8 and 21-period EMAs
Monitors EMA alignment and momentum
Customizable tolerance levels
Price Action:
Looks for lower lows within specified lookback period
Confirms bottom with subsequent price action
Reset mechanism to prevent false signals
Visual Indicators
Label Types
📉 Distribution Days
⬇️ Market Bottoms
🚀/⭐ Follow-Through Days
⚠️ DD Warning Levels
Customization Options
Label size: Tiny, Small, Normal, Large
Label style: Default, Arrows, Triangles
Background colors for different signals
Dynamic positioning using ATR multiplier
Practical Usage
1. Monitor DD Accumulation:
Watch for increasing number of Distribution Days
Pay attention to warning levels (4 and 6 DDs)
Consider reducing exposure when warnings appear
2. Bottom Recognition:
Look for potential bottom formations
Monitor EMA alignment and price action
Wait for confirmation signals
3. FTD Confirmation:
Track days after potential bottom
Watch for strong price/volume action in valid window
Note FTD quality rating for additional context
Alert System
Built-in alerts for:
New Distribution Days
Follow-Through Day signals
High DD accumulation warnings
Tips for Best Results
Use multiple timeframes for confirmation
Combine with other market health indicators
Pay attention to sector rotation and market leadership
Monitor volume patterns for confirmation
Consider market context and external factors
Technical Notes
The indicator uses advanced array handling for DD tracking
Dynamic calculations ensure accurate signal generation
Debug mode available for detailed analysis
Optimized for real-time and historical analysis
Additional Information
Compatible with all markets and timeframes
Best suited for daily charts
Regular updates and maintenance
Based on O'Neil's time-tested market analysis principles
Conclusion
The FTD & DD Analyzer provides a systematic approach to market analysis, combining O'Neil's proven methodologies with modern technical analysis. It helps traders identify potential market turns while monitoring institutional participation through volume analysis.
Remember that no indicator is perfect - always use in conjunction with other analysis tools and proper risk management.
Candlestick Pattern DetectorFeatures
Reversal Patterns:
Bullish Patterns:
Bullish Engulfing: A strong reversal signal when a bullish candle completely engulfs the previous bearish candle.
Hammer: Indicates a potential bottom reversal with a small body and a long lower wick.
Morning Star: A three-candle pattern signaling a transition from a downtrend to an uptrend.
Bearish Patterns:
Bearish Engulfing: A bearish candle fully engulfs the prior bullish candle, indicating a potential downtrend.
Shooting Star: A potential top reversal with a small body and a long upper wick.
Evening Star: A three-candle pattern signaling a shift from an uptrend to a downtrend.
Continuation Patterns:
Bullish Continuation:
Rising Three Methods: A consolidation pattern within an uptrend, indicating the trend is likely to continue.
Bearish Continuation:
Falling Three Methods: A consolidation pattern within a downtrend, suggesting further downside movement.
Visual Highlights:
Bullish Reversal Patterns: Labeled below candles with a green "Bullish" marker.
Bearish Reversal Patterns: Labeled above candles with a red "Bearish" marker.
Bullish Continuation Patterns: Displayed as blue triangles pointing upward.
Bearish Continuation Patterns: Displayed as orange triangles pointing downward.
Real-Time Alerts:
Get notified when a specific candlestick pattern is detected, enabling you to act quickly in dynamic market conditions.
SCE ReversalsThis tool uses past market data to attempt to identify where changes in “memory” may occur to spot reversals. The Hurst Exponent was a big inspiration for this code. The main driver is identifying when past ranges expand and contract, leading to a change in direction. With the use of Sum of Squared Errors, users do not need to input anything.
Getting optimized parameters
// Define ranges for N and lkb
N_range = array.from(15, 20, 25, 30, 35, 40, 45, 50, 55, 60)
// Function to calculate SSE
sse_calc(_N) =>
x = math.pow(close - close , 2)
y = math.pow(close - close , 2) + math.pow(close, 2)
z = x / y
scaled_z = z * math.log(_N)
min_r = ta.lowest(scaled_z, _N)
max_r = ta.highest(scaled_z, _N)
norm_r = (scaled_z - min_r) / (max_r - min_r)
SMA = ta.sma(close, _N)
reversal_bullish = norm_r == 1.000 and norm_r < 0.90 and close < SMA and session.ismarket and barstate.isconfirmed
reversal_bearish = norm_r == 1.000 and norm_r < 0.90 and close > SMA and session.ismarket and barstate.isconfirmed
var float error = na
if reversal_bullish or reversal_bearish
error := math.pow(close - SMA, 2)
error
else
error := 999999999999999999999999999999999999999
error
error
var int N_opt = na
var float min_SSE = na
// Loop through ranges and calculate SSE
for N in N_range
sse = sse_calc(N)
if na(min_SSE) or sse < min_SSE
min_SSE := sse
N_opt := N
The N_range list encompasses every lookback value to check with. The sse_calc function accepts an individual element to then perform the calculation for Reversals. If there is a reversal, the error becomes how far away the close is from a moving average with that look back. Lowest error wins. That would be the look back used for the Reversals calculation.
Reversals calculation
// Calculating with optimized parameters
x_opt = math.pow(close - close , 2)
y_opt = math.pow(close - close , 2) + math.pow(close, 2)
z_opt = x_opt / y_opt
scaled_z_opt = z_opt * math.log(N_opt)
min_r_opt = ta.lowest(scaled_z_opt, N_opt)
max_r_opt = ta.highest(scaled_z_opt, N_opt)
norm_r_opt = (scaled_z_opt - min_r_opt) / (max_r_opt - min_r_opt)
SMA_opt = ta.sma(close, N_opt)
reversal_bullish_opt = norm_r_opt == 1.000 and norm_r_opt < 0.90 and close < SMA_opt and close > high and close > open and session.ismarket and barstate.isconfirmed
reversal_bearish_opt = norm_r_opt == 1.000 and norm_r_opt < 0.90 and close > SMA_opt and close < low and close < open and session.ismarket and barstate.isconfirmed
X_opt and y_opt are the compared values to develop the system. Everything done afterwards is scaling and using it to spot the Reversals. X_opt is the current close, minus the close with the optimal N bars back, squared. Then y_opt is also that but plus the current close squared. Z_opt is then x_opt / y_opt. This gives us a pretty small number that will go up when we approach tops or bottoms. To make life a little easier I normalize the value between 0 and 1.
After I find the moving average with the optimal N, I can check if there is a Reversal. Reversals are there when the last value is at 1 and the current value drops below 0.90. This would tell us that “memory” was strong and is now changing. To determine direction and help with accuracy, if the close is above the moving average it is a bearish alert, and vice versa. As well as the close must be below the last low for a bearish Reversal, above the last high for a bullish Reversal. Also the close must be above the open for a bullish Reversal, and below for a bearish one.
Visual examples
This NASDAQ:TSLA chart shows how alerts may come around. The bullish and bearish labels are plotted on the chart along with a reference line to see price interact with.
The indicator has the potential to be inactive, like we see here on $OKLO. There is only one alert, and it marks the bottom nicely.
Stocks with strong trends like NYSE:NOW may be more susceptible to false alerts. Assets that are volatile and bounce around a lot may be better.
It works on intra day charts the same as on Daily or longer charts. We see here on NASDAQ:QQQ it spotted the bottom on this particular trading day.
This tool is meant to aid traders in making decisions, not to be followed blindly. No trading tool is 100% accurate and Sum of Squared Errors does not guarantee the most optimal value. I encourage feedback and constructive criticism.
Smart Money Concepts (Advanced)Inspired and initially based on LuxAlgo's Smart Money Concepts Indicator I created a library lib_smc that started to convert every function and return objects. This allowed certain customizations like tracking the current fill level of FVGs or tracking the creation of Order Blocks, by monitoring consecutive bars against the current trend.
This indicator is provided as is, based on, but probably not always be up to date with my lib_smc that I am using for my projects.
WARNING: This indicator shows EXPERIMENTAL Order Blocks that are tracked LIVE. Unlike usual Order Blocks these are not just based on the last confirmed Swing Point (formed 50 bars before) but on consecutive candles opposing an unconfirmed trend. Blocks are confirmed by price movements relative to the unconfirmed block and unconfirmed swing points. This means that some Order Blocks will appear on pullbacks, as well as reversals.
Features
Swing Points (HH / LH / HL / LL), indicating support / resistance zones price might reject off of or want to push through
Market Structure (BOS / ChoCh), indicates confirmation for a continued / changing trend
live Order Blocks (OB), see warning above.
Fair Value Gaps (FVG), optional from higher timeframes
Equal Highs / Lows (EQH/EQL), indicates strong support / resistance zones, especially when the bars forming it have long wicks toward that zone
using my lib_no_delay all moving averages are working from bar 0, so it can be used on charts with limited bars
VPSA-VTDDear Sir/Madam,
I am pleased to present the next iteration of my indicator concept, which, in my opinion, serves as a highly useful tool for analyzing markets using the Volume Spread Analysis (VSA) method or the Wyckoff methodology.
The VPSA (Volume-Price Spread Analysis), the latest version in the family of scripts I’ve developed, appears to perform its task effectively. The combination of visualizing normalized data alongside their significance, achieved through the application of Z-Score standardization, proved to be a sound solution. Therefore, I decided to take it a step further and expand my project with a complementary approach to the existing one.
Theory
At the outset, I want to acknowledge that I’m aware of the existence of other probabilistic models used in financial markets, which may describe these phenomena more accurately. However, in line with Occam's Razor, I aimed to maintain simplicity in the analysis and interpretation of the concepts below. For this reason, I focused on describing the data using the Gaussian distribution.
The data I read from the chart — primarily the closing price, the high-low price difference (spread), and volume — exhibit cyclical patterns. These cycles are described by Wyckoff's methodology, while VSA complements and presents them from a different perspective. I will refrain from explaining these methods in depth due to their complexity and broad scope. What matters is that within these cycles, various events occur, described by candles or bars in distinct ways, characterized by different spreads and volumes. When observing the chart, I notice periods of lower volatility, often accompanied by lower volumes, as well as periods of high volatility and significant volumes. It’s important to find harmony within this apparent chaos. I think that chart interpretation cannot happen without considering the broader context, but the more variables I include in the analytical process, the more challenges arise. For instance, how can I determine if something is large (wide) or small (narrow)? For elements like volume or spread, my script provides a partial answer to this question. Now, let’s get to the point.
Technical Overview
The first technique I applied is Min-Max Normalization. With its help, the script adjusts volume and spread values to a range between 0 and 1. This allows for a comparable bar chart, where a wide bar represents volume, and a narrow one represents spread. Without normalization, visually comparing values that differ by several orders of magnitude would be inconvenient. If the indicator shows that one bar has a unit spread value while another has half that value, it means the first bar is twice as large. The ratio is preserved.
The second technique I used is Z-Score Standardization. This concept is based on the normal distribution, characterized by variables such as the mean and standard deviation, which measures data dispersion around the mean. The Z-Score indicates how many standard deviations a given value deviates from the population mean. The higher the Z-Score, the more the examined object deviates from the mean. If an object has a Z-Score of 3, it falls within 0.1% of the population, making it a rare occurrence or even an anomaly. In the context of chart analysis, such strong deviations are events like climaxes, which often signal the end of a trend, though not always. In my script, I assigned specific colors to frequently occurring Z-Score values:
Below 1 – Blue
Above 1 – Green
Above 2 – Red
Above 3 – Fuchsia
These colors are applied to both spread and volume, allowing for quick visual interpretation of data.
Volume Trend Detector (VTD)
The above forms the foundation of VPSA. However, I have extended the script with a Volume Trend Detector (VTD). The idea is that when I consider market structure - by market structure, I mean the overall chart, support and resistance levels, candles, and patterns typical of spread and volume analysis as well as Wyckoff patterns - I look for price ranges where there is a lack of supply, demand, or clues left behind by Smart Money or the market's enigmatic identity known as the Composite Man. This is essential because, as these clues and behaviors of market participants — expressed through the chart’s dynamics - reflect the actions, decisions, and emotions of all players. These behaviors can help interpret the bull-bear battle and estimate the probability of their next moves, which is one of the key factors for a trader relying on technical analysis to make a trade decision.
I enhanced the script with a Volume Trend Detector, which operates in two modes:
Step-by-Step Logic
The detector identifies expected volume dynamics. For instance, when looking for signs of a lack of bullish interest, I focus on setups with decreasing volatility and volume, particularly for bullish candles. These setups are referred to as No Demand patterns, according to Tom Williams' methodology.
Simple Moving Average (SMA)
The detector can also operate based on a simple moving average, helping to identify systematic trends in declining volume, indicating potential imbalances in market forces.
I’ve designed the program to allow the selection of candle types and volume characteristics to which the script will pay particular attention and notify me of specific market conditions.
Advantages and Disadvantages
Advantages:
Unified visualization of normalized spread and volume, saving time and improving efficiency.
The use of Z-Score as a consistent and repeatable relative mechanism for marking examined values.
The use of colors in visualization as a reference to Z-Score values.
The possibility to set up a continuous alert system that monitors the market in real time.
The use of EMA (Exponential Moving Average) as a moving average for Z-Score.
The goal of these features is to save my time, which is the only truly invaluable resource.
Disadvantages:
The assumption that the data follows a normal distribution, which may lead to inaccurate interpretations.
A fixed analysis period, which may not be perfectly suited to changing market conditions.
The use of EMA as a moving average for Z-Score, listed both as an advantage and a disadvantage depending on market context.
I have included comments within the code to explain the logic behind each part. For those who seek detailed mathematical formulas, I invite you to explore the code itself.
Defining Program Parameters:
Numerical Conditions:
VPSA Period for Analysis – The number of candles analyzed.
Normalized Spread Alert Threshold – The expected normalized spread value; defines how large or small the spread should be, with a range of 0-1.00.
Normalized Volume Alert Threshold – The expected normalized volume value; defines how large or small the volume should be, with a range of 0-1.00.
Spread Z-SCORE Alert Threshold – The Z-SCORE value for the spread; determines how much the spread deviates from the average, with a range of 0-4 (a higher value can be entered, but from a logical standpoint, exceeding 4 is unnecessary).
Volume Z-SCORE Alert Threshold – The Z-SCORE value for volume; determines how much the volume deviates from the average, with a range of 0-4 (the same logical note as above applies).
Logical Conditions:
Logical conditions describe whether the expected value should be less than or equal to or greater than or equal to the numerical condition.
All four parameters accept two possibilities and are analogous to the numerical conditions.
Volume Trend Detector:
Volume Trend Detector Period for Analysis – The analysis period, indicating the number of candles examined.
Method of Trend Determination – The method used to determine the trend. Possible values: Step by Step or SMA.
Trend Direction – The expected trend direction. Possible values: Upward or Downward.
Candle Type – The type of candle taken into account. Possible values: Bullish, Bearish, or Any.
The last available setting is the option to enable a joint alert for VPSA and VTD.
When enabled, VPSA will trigger on the last closed candle, regardless of the VTD analysis period.
Example Use Cases (Labels Visible in the Script Window Indicate Triggered Alerts):
The provided labels in the chart window mark where specific conditions were met and alerts were triggered.
Summary and Reflections
The program I present is a strong tool in the ongoing "game" with the Composite Man.
However, it requires familiarity and understanding of the underlying methodologies to fully utilize its potential.
Of course, like any technical analysis tool, it is not without flaws. There is no indicator that serves as a perfect Grail, accurately signaling Buy or Sell in every case.
I would like to thank those who have read through my thoughts to the end and are willing to take a closer look at my work by using this script.
If you encounter any errors or have suggestions for improvement, please feel free to contact me.
I wish you good health and accurately interpreted market structures, leading to successful trades!
CatTheTrader
Candle Counter by ComLucro - Multi-Timefram - 2025_V01Candle Counter by ComLucro - Multi-Timeframe - 2025_V01
The Candle Counter by ComLucro - Multi-Timeframe is a highly customizable tool designed to help traders monitor the number of candles across various timeframes directly on their charts. Whether you're analyzing trends or tracking specific market behaviors, this indicator provides a seamless and efficient way to enhance your technical analysis.
Key Features:
Flexible Timeframe Selection: Track candle counts on yearly, monthly, weekly, daily, or hourly intervals to suit your trading style.
Dynamic Label Positioning: Choose to display labels above or below candles, offering greater control over your chart layout.
Customizable Colors: Adjust label text colors to match your chart's aesthetics and improve visibility.
Clean and Organized Visualization: Automatically generates labels for each candle without overcrowding your chart.
How It Works:
Select a Timeframe: Choose from yearly, monthly, weekly, daily, or hourly intervals based on your analysis needs.
Automatic Counting: The indicator calculates and displays the number of candles for the selected period directly on your chart.
Label Customization: Adjust the position (above or below the candles) and color of the labels to align with your preferences.
Why Use This Indicator?
This script is perfect for traders who need a clear and visual representation of candle counts in specific timeframes. Whether you're monitoring trends, evaluating price action, or developing strategies, the Candle Counter by ComLucro adapts to your needs and helps you make informed decisions.
Disclaimer:
This script is intended for educational and informational purposes only. It does not constitute financial advice. Always practice responsible trading and ensure this tool aligns with your strategies and risk management practices.
About ComLucro:
ComLucro is dedicated to providing traders with practical tools and educational resources to improve decision-making in the financial markets. Discover other scripts and strategies developed to enhance your trading experience.
Adjustable ORB with ORB Multipliers 1x or 2x by dhaval chhayaniKey Features:
Adjustable Timeframe:
The ORB is calculated using a user-defined timeframe, which defaults to 15 minutes.
Dynamic High/Low Levels:
Identifies the high and low of the first bar of the specified timeframe for each trading day.
Resets these levels at the start of each new day.
Multipliers for Breakout Levels:
Calculates breakout levels using 1.3x and 2x the ORB range, both above and below the opening range.
Displays these levels on the chart with user-controlled visibility.
Labels for Breakout Levels:
Adds labels (1x, 2x) at the breakout levels for better visualization.
Dynamically updates or removes labels based on current conditions.
Visual Representation:
The opening range (high and low) is plotted with blue lines and filled with a shaded area for clarity.
Breakout levels are plotted in white and yellow, representing the respective multipliers.
Day-Specific Logic:
Ensures the indicator only operates for the current day and clears data for previous or upcoming days.
Average Candle RangeThis indicator calculates and displays the average trading range of candles over a specified period, helping traders identify volatility patterns and potential trading opportunities.
Features:
- Customizable lookback period (1-500 bars)
- Clean visual display in a top-right table overlay
- High-precision calculation showing 10 decimal places
- Real-time updates with each new bar
How it Works:
The indicator calculates the range of each candle (High - Low) and then computes the Simple Moving Average (SMA) of these ranges over your specified lookback period. The result is displayed in an easy-to-read table overlay.
Use Cases:
- Volatility Analysis: Monitor market volatility trends
- Position Sizing: Help determine position sizes based on average price movements
- Trading Strategy Development: Use as a reference for setting stop losses and take profits
- Market Phase Identification: Help identify high vs low volatility market phases
Settings:
- Lookback Period: Default is 140 bars, adjustable from 1 to 500
Note:
The indicator displays values with 10 decimal places for high-precision analysis, particularly useful in markets with small price movements.
Candle Ratio Alert**Candle Ratio Alert System for Multi-Pair, 5-Minute Charts**
This Pine Script indicator is designed for traders who want to monitor specific candle patterns across multiple assets on a 5-minute timeframe. The tool calculates the ratio of the candle's body size to its total wick size, allowing you to identify significant candles based on their structure. It is ideal for strategies that rely on candlestick analysis, such as breakout or reversal trading.
### Key Features:
1. **Customizable Threshold**: Set the body-to-wick ratio using an input slider, ensuring flexibility to match your strategy.
2. **Visual Alerts**: The script plots a purple marker above candles that meet the specified criteria, making it easy to spot qualifying patterns at a glance.
3. **Dynamic Alerts**: Integrated alert functionality notifies you via email or app when a candle satisfies the ratio condition. Alerts include the asset's ticker and timeframe for quick action.
4. **Multi-Pair Capability**: Compatible with assets like XAUUSD, BTCUSD, EURUSD, and GBPUSD, making it versatile for Forex and cryptocurrency trading.
### How It Works:
The script calculates the body size and total wick size of each candle. If the ratio exceeds the user-defined threshold, the script triggers a visual marker and sends an alert. The 5-minute timeframe ensures rapid identification of trading opportunities in volatile markets.
With its intuitive interface and powerful alert system, this tool streamlines your trading workflow, helping you stay focused on key market movements. Perfect for both beginners and experienced traders seeking precision and efficiency in their analysis.
EMA Crossover Strategy with Take Profit and Candle HighlightingStrategy Overview:
This strategy is based on the Exponential Moving Averages (EMA), specifically the EMA 20 and EMA 50. It takes advantage of EMA crossovers to identify potential trend reversals and uses multiple take-profit levels and a stop-loss for risk management.
Key Components:
EMA Crossover Signals:
Buy Signal (Uptrend): A buy signal is generated when the EMA 20 crosses above the EMA 50, signaling the start of a potential uptrend.
Sell Signal (Downtrend): A sell signal is generated when the EMA 20 crosses below the EMA 50, signaling the start of a potential downtrend.
Take Profit Levels:
Once a buy or sell signal is triggered, the strategy calculates multiple take-profit levels based on the range of the previous candle. The user can define multipliers for each take-profit level.
Take Profit 1 (TP1): 50% of the previous candle's range above or below the entry price.
Take Profit 2 (TP2): 100% of the previous candle's range above or below the entry price.
Take Profit 3 (TP3): 150% of the previous candle's range above or below the entry price.
Take Profit 4 (TP4): 200% of the previous candle's range above or below the entry price.
These levels are adjusted dynamically based on the previous candle's high and low, so they adapt to changing market conditions.
Stop Loss:
A stop-loss is set to manage risk. The default stop-loss is 3% from the entry price, but this can be adjusted in the settings. The stop-loss is triggered if the price moves against the position by this amount.
Trend Direction Highlighting:
The strategy highlights the bars (candles) with colors:
Green bars indicate an uptrend (when EMA 20 crosses above EMA 50).
Red bars indicate a downtrend (when EMA 20 crosses below EMA 50).
These visual cues help users easily identify the market direction.
Strategy Entries and Exits:
Entries: The strategy enters a long (buy) position when the EMA 20 crosses above the EMA 50 and a short (sell) position when the EMA 20 crosses below the EMA 50.
Exits: The strategy exits the positions at any of the defined take-profit levels or the stop-loss. Multiple exit levels provide opportunities to take profit progressively as the price moves in the favorable direction.
Entry and Exit Conditions in Detail:
Buy Entry Condition (Uptrend):
A buy position is opened when EMA 20 crosses above EMA 50, signaling the start of an uptrend.
The strategy calculates take-profit levels above the entry price based on the previous bar's range (high-low) and the multipliers for TP1, TP2, TP3, and TP4.
Sell Entry Condition (Downtrend):
A sell position is opened when EMA 20 crosses below EMA 50, signaling the start of a downtrend.
The strategy calculates take-profit levels below the entry price, similarly based on the previous bar's range.
Exit Conditions:
Take Profit: The strategy attempts to exit the position at one of the take-profit levels (TP1, TP2, TP3, or TP4). If the price reaches any of these levels, the position is closed.
Stop Loss: The strategy also has a stop-loss set at a default value (3% below the entry for long trades, and 3% above for short trades). The stop-loss helps to protect the position from significant losses.
Backtesting and Performance Metrics:
The strategy can be backtested using TradingView's Strategy Tester. The results will show how the strategy would have performed historically, including key metrics like:
Net Profit
Max Drawdown
Win Rate
Profit Factor
Average Trade Duration
These performance metrics can help users assess the strategy's effectiveness over historical periods and optimize the input parameters (e.g., multipliers, stop-loss level).
Customization:
The strategy allows for the adjustment of several key input values via the settings panel:
Take Profit Multipliers: Users can customize the multipliers for each take-profit level (TP1, TP2, TP3, TP4).
Stop Loss Percentage: The user can also adjust the stop-loss percentage to a custom value.
EMA Periods: The default periods for the EMA 50 and EMA 20 are fixed, but they can be adjusted for different market conditions.
Pros of the Strategy:
EMA Crossover Strategy: A classic and well-known strategy used by traders to identify the start of new trends.
Multiple Take Profit Levels: By taking profits progressively at different levels, the strategy locks in gains as the price moves in favor of the position.
Clear Trend Identification: The use of green and red bars makes it visually easier to follow the market's direction.
Risk Management: The stop-loss and take-profit features help to manage risk and optimize profit-taking.
Cons of the Strategy:
Lagging Indicators: The strategy relies on EMAs, which are lagging indicators. This means that the strategy might enter trades after the trend has already started, leading to missed opportunities or less-than-ideal entry prices.
No Confirmation Indicators: The strategy purely depends on the crossover of two EMAs and does not use other confirming indicators (e.g., RSI, MACD), which might lead to false signals in volatile markets.
How to Use in Real-Time Trading:
Use for Backtesting: Initially, use this strategy in backtest mode to understand how it would have performed historically with your preferred settings.
Paper Trading: Once comfortable, you can use paper trading to test the strategy in real-time market conditions without risking real money.
Live Trading: After testing and optimizing the strategy, you can consider using it for live trading with proper risk management in place (e.g., starting with a small position size and adjusting parameters as needed).
Summary:
This strategy is designed to identify trend reversals using EMA crossovers, with customizable take-profit levels and a stop-loss to manage risk. It's well-suited for traders looking for a systematic way to enter and exit trades based on clear market signals, while also providing flexibility to adjust for different risk profiles and trading styles.
SufinBDThis TradingView script combines RSI, Stochastic RSI, MACD, and Bollinger Bands to generate Buy and Sell signals on two different timeframes: 4-hour (4H) and Daily (1D). The strategy aims to provide entry and exit points based on a multi-indicator confirmation approach, helping traders make more informed decisions.
Features:
RSI (Relative Strength Index):
Measures the speed and change of price movements.
The script looks for oversold conditions (RSI below 30) for buy signals and overbought conditions (RSI above 70) for sell signals.
Stochastic RSI:
Measures the level of RSI relative to its high-low range over a given period.
A Stochastic RSI below 0.2 indicates oversold conditions, and a value above 0.8 indicates overbought conditions.
It helps identify overbought and oversold conditions in a more precise manner than regular RSI.
MACD (Moving Average Convergence Divergence):
A trend-following momentum indicator that shows the relationship between two moving averages of a security's price.
The MACD line crossing above the Signal line generates bullish signals, and vice versa for bearish signals.
Bollinger Bands:
A volatility indicator that consists of a middle band (SMA of price), an upper band, and a lower band.
When the price is below the lower band, it signals potential buy opportunities, while prices above the upper band signal potential sell opportunities.
Timeframe Usage:
The script calculates indicators for both the 4-hour (4H) and Daily (1D) timeframes.
The combined signals from these two timeframes are used to generate Buy and Sell alerts.
Buy Signal:
A Buy signal is generated when all of the following conditions are met:
RSI on both 4H and 1D is below 30 (oversold conditions).
Stochastic RSI on both timeframes is below 0.2.
The MACD line is above the Signal line on both timeframes.
The price is below the lower Bollinger Band on both the 4H and 1D charts.
Sell Signal:
A Sell signal is generated when all of the following conditions are met:
RSI on both 4H and 1D is above 70 (overbought conditions).
Stochastic RSI on both timeframes is above 0.8.
The MACD line is below the Signal line on both timeframes.
The price is above the upper Bollinger Band on both the 4H and 1D charts.
Visuals:
Buy signals are marked with green labels below the bars.
Sell signals are marked with red labels above the bars.
Bollinger Bands are displayed on the chart with the upper and lower bands marked in blue (for 4H) and orange (for 1D).
Purpose:
This script aims to provide more reliable buy/sell signals by combining indicators across multiple timeframes. It is ideal for traders who want to use multiple confirmation points before entering or exiting a trade.
How to Use:
Apply the script to any chart on TradingView.
Look for Buy and Sell signals that meet the conditions above.
You can adjust the timeframe (e.g., 4H or 1D) based on your trading strategy.
This script can be used for intraday trading, swing trading, or position trading depending on your preferred timeframes.
Example of Signal Interpretation:
Buy Signal:
If all conditions are met (e.g., RSI is under 30, Stochastic RSI is under 0.2, MACD is bullish, and price is below the lower Bollinger Band on both the 4-hour and daily charts), the script will show a green "BUY" label below the price bar.
Sell Signal:
If all conditions are met (e.g., RSI is over 70, Stochastic RSI is over 0.8, MACD is bearish, and price is above the upper Bollinger Band on both timeframes), the script will show a red "SELL" label above the price bar.
This combination of indicators offers a multi-layered confirmation approach, which aims to reduce the risk of false signals and increase the reliability of your trading decisions.
Candle Body Size Of Total SizeThis script calculates the candle body size as a percentage of the total candle size (range from high to low) and plots it as a histogram. It also includes a reference line at 70% to identify candles where the body is significant relative to the total range.
ORB opening range breakoutThis indicator plots the opening range high and low for a selected period of time in minutes after the market opens on an intraday chart to allow the user to visualize the high and low of the opening range for use in the Opening Range Breakout (ORB) strategy.
The Opening Range Breakout (ORB) strategy is a trading approach that involves identifying the price range within the first few minutes of a market session and then waiting for the price to break out of that range. This indicator facilitates this strategy through the use of shaded regions and/or price levels.
Features
Able to plot the high and low for any opening range above 1 min on any intraday timeframe
Fully customizable ORB region, price level, price axis, label
The inclusion of the Bollinger band along with it's Moving Average serves multiple purposes to assist the user in the opening range breakout strategy
Highlights to the user the deviation from the Moving Average due to an opening range breakout so that the user is better informed on whether to avoid entering a position, exit a position, or monitor the situation more closely
Highlights area of support or resistance formed by the Moving Average of Bollinger Band
Inform the user of the current trend direction to serve as confluence during an opening range breakout
What sets this indicator apart from others
In other ORB indicators, the opening range must be a multiple of the current chart's timeframe, restricting users on the intraday timeframes that can be used. E.g. if the user is using the 15 minutes opening range, they are restricted to use the 1, 3, 5, 15 minute(s) chart.
This indicator gives the user the flexibility to set any opening range above 1 min on any intraday timeframe. E.g. if the user is using the 15 minutes opening range, they are free to use any intraday timeframe on their chart, such as 1 hour or 2 hours chart.
How to use
Input the opening time range of interest in minutes
Check the "ORB region" checkbox to shade the ORB region
Check the "PRICE LEVEL" checkbox to draw a horizontal line of the high and low
Check the "PRICE AXIS" checkbox to plot the values on the price axis
Check the "LABEL" checkbox to draw a label of the high and low
PreannFXExplanation of the PreannFX indicator:
Candle Body Size:
The body of the current candle is larger than the previous candle.
Bullish Engulfing:
The current candle closes higher than the previous candle's high.
The body size is larger than the previous candle.
Bearish Engulfing:
The current candle closes lower than the previous candle's low.
The body size is larger than the previous candle.
Entry and Exit:
Bullish: Enter at the previous candle's open or high, stop loss at the previous low, and take profit is 1:1 with the stop loss.
Bearish: Enter at the previous candle's open or low, stop loss at the previous high, and take profit is 1:1 with the stop loss.
Visualization:
Green upward arrows for bullish engulfing patterns.
Red downward arrows for bearish engulfing patterns.
Single Candle Entry with Multi-Timeframe [Wang Indicators]
Single candle entry
Overview : The "Single Candle Entry Model" indicator is designed to help traders through a simple yet effective trading strategy. This indicator automatically detects candles that encompass both the high and low of the previous candle, creating key price zones for potential market entries.
- This indicator was developed with the help of @DaveTeaches -
How does it works ?
Detects when a candle trade above the high and below the low of the previous candle
When it occur, the indicator write "SCE" on the candle
The text will be in different color if its bearish or bullish (customizable by user)
Higher Timeframes
Users can enable up to 3 HTF SCE detection to enhance multi timeframe analysis.
Users can select which timeframe he want to use
Boxes will be displayed around High time frame SCE to highlight the HTF candle.
As regular SCE, the indicator will write "SCE" above or under the box
How does it helps users ?
Once the SCE is created, it can be used as a zone.
Levels (30, 50 and 70%) are displayed
Users can customize their apparence as they see fit
The 30 - 50 - 70 levels are support/resistance that the price tend to bounce of off
You might find some success looking for an entry inside the zone at a level if price gives further confirmations such as a lower time frame flip or using other indicators
Alert can be setup on any timeframe
Wick sizeShow the average wick size of the last 10 bar for analysis purposes.
Makes it easier to recognise possible turning points.
MW:TA Days of the WeekENG: Vertical separators to easily detect days of the week and see which past liquidity was taken down. Screenshot example contains days of the week indicator and manually drawn lines of grabbed liquidity. Useful for trades based on liquidity grab and reaction.
Tested on Forex, Crypto, Indexes, Stocks, Commodities markets.
-
РУС: Вертикальные разделители для визуального определения дней недели и просмотра снятой ликвидности на графике. На скриншоте отмечен индикатор разделительных периодов (дней) и вручную нарисованные линии, которые отмечают снятую ликвидность и реакцию цены на снятие. Полезно для тех трейдеров, которые торгуют по реакции на снятую ликвидность.
Протестировано на рынках Форекс, Крипто, ИНдексов, Акций и Сырья.
Trident FinderIntroduction to the Trident Finder
The Trident Finder is a Pine Script indicator that identifies unique bullish and bearish patterns called Tridents. These patterns are based on specific relationships between consecutive candles, combined with a simple moving average (SMA) filter for added precision. By spotting these patterns, traders can potentially identify high-probability reversal points or trend continuations.
Core Logic
The indicator identifies two patterns:
Bullish Trident
A bullish Trident forms when:
Candle (two candles back) has its High-Low range entirely above Candle (the preceding candle).
Candle (the current candle) has its Open-High-Low-Close (OHLC) above the Low of Candle .
Candle closes higher than it opens and higher than Candle ’s close.
Candle closes below the SMA, indicating a potential upward breakout against the trend.
Bearish Trident
A bearish Trident forms when:
Candle has its High-Low range entirely below Candle .
Candle has its OHLC below the High of Candle .
Candle closes lower than it opens and lower than Candle ’s close.
Candle closes above the SMA, indicating a potential downward breakout against the trend.
Visual Representation
Bullish Tridents are marked with green "Up" labels below the candle.
Bearish Tridents are marked with red "Down" labels above the candle.
The SMA is plotted as a maroon line to serve as a filter for the Trident patterns.
Large Body Candle IndicatorFunctionality
Comparison: The indicator compares the body size of the current candle to the maximum body size of the previous 5 candles.
Bullish Candles: When a bullish candle (close > open) has a larger body than the previous 5 candles:
A green triangle is plotted below the candle
The candle is colored green
Bearish Candles: When a bearish candle (close < open) has a larger body than the previous 5
candles:
A red triangle is plotted above the candle
The candle is colored red
Key Components
Lookback Period: Default set to 5 candles, but can be adjusted by the user.
Body Size Calculation: Calculated as the absolute difference between the open and close prices.
Maximum Previous Body Size: Determined by comparing the body sizes of the previous 5 candles.
Candle Classification: Candles are classified as bullish or bearish based on the relationship between open and close prices.
Visual Indicators:
Shape plotting for triangles
Bar coloring for highlighted candles
User Customization
Users can adjust the lookback period through the indicator settings, allowing for flexibility in identifying significant candles based on recent price action.
Use Cases
Identifying potential breakout candles
Spotting significant price movements
Enhancing visual analysis of price action
Supporting decision-making in trading strategies
Limitations
The indicator does not predict future price movements
It's based solely on recent price action and doesn't consider other technical or fundamental factors
Conclusion
The Large Body Candle Indicator provides a simple yet effective way to visually identify candles that show significant price movement relative to recent price action. It can be a valuable tool when used in conjunction with other technical analysis methods.
Multi Indicator SummaryPurpose: It calculates and displays bullish and bearish order blocks, key levels derived from recent price movements, which traders use to identify potential support and resistance areas.
Inputs: Users can customize the order block length, defining the range of price data used for calculations.
Logic: The script uses ta.lowest and ta.highest functions to compute order blocks based on specified periods for bullish and bearish trends.
Additional Levels: It identifies extra order blocks (bullish_below and bearish_above) to provide more context for deeper support or higher resistance.
Price Table: A visual table is created on the chart, showing the current price, bullish and bearish order blocks, and additional bearish levels above the current price.
Alerts: Alerts are triggered when the price crosses key order block levels, helping traders react to significant price movements.
Flexibility: The table dynamically updates based on the chart’s ticker and timeframe, ensuring it always reflects the latest data.
Bearish Above Price: Highlights the most recent bearish order block above the current price to inform traders about potential resistance areas.
Visualization: The clear table format aids quick decision-making by summarizing key levels in an accessible way.
Usability: This script is especially useful for intraday and swing traders seeking to integrate order block analysis into their strategies.
Fibonacci RepulseFibonacci Repulse with Trend Table 📉📈
Description: The "Fibonacci Repulse" indicator for TradingView combines Fibonacci retracement levels with dynamic support/resistance detection, providing real-time price action insights. 🔄 This powerful tool plots critical Fibonacci retracement levels (23.6%, 38.2%, and 50%) based on the highest and lowest swing points over a user-defined lookback period. The indicator automatically detects bullish retests, alerting you when the price touches and closes above any of the Fibonacci levels, indicating potential upward momentum. 🚀
Key Features:
Fibonacci Retracement Levels 📊: Plots key levels (23.6%, 38.2%, 50%) dynamically based on the highest and lowest price swings over a customizable lookback period.
Bullish Retests Alerts ⚡: Identifies and marks bullish retests when the price touches the Fibonacci levels and closes above them, signaling potential upward movement.
Real-Time Trend Detection 🔍: Displays the current market trend as "Bullish," "Bearish," or "Sideways" in a clear, easy-to-read table in the bottom right corner of the chart. This is determined based on the price's position relative to the Fibonacci levels.
Customizable Settings ⚙️: Adjust the lookback period and label offsets for optimal visual customization.
How It Works:
The indicator calculates the Fibonacci retracement levels between the highest high and the lowest low within a user-defined period. 🧮
It draws extended lines at the 23.6%, 38.2%, and 50% retracement levels, updating them as the chart moves. 📉
When the price touches a Fibonacci level and closes above it, a "Bullish Retest" label appears, signaling a potential buy opportunity. 💡
A real-time trend status table updates automatically in the chart's bottom-right corner, helping traders quickly assess the market's trend direction: Bullish, Bearish, or Sideways. 🔄
Why Use It: This indicator is perfect for traders looking for a clear and visual way to incorporate Fibonacci levels into their trading strategies, with real-time feedback on trend direction and price action signals. Whether you are a novice or an experienced trader, "Fibonacci Repulse" provides a powerful tool for identifying potential reversal points and confirming trends, enhancing your trading strategy. 📈💪
Logarithmic IndicatorThis logarithmic indicator does the following:
It calculates the logarithm of the chosen price (default is close price) using a user-defined base (default is 10).
It then calculates a Simple Moving Average (SMA) of the logarithmic values.
Both the logarithmic value and its SMA are plotted on the chart.
To improve visibility, it also plots an upper and lower band based on the highest and lowest values over the last 100 periods.
To use this indicator:
Open the TradingView Pine Editor.
Paste the code into the editor.
Click "Add to Chart" or "Save" to apply the indicator to your chart.
Adjust the input parameters in the indicator settings as needed.
You can customize this indicator further by:
Changing the color scheme
Adding more moving averages or other technical indicators
Implementing alerts based on crossovers or other conditions
Remember, logarithmic scales are often used in finance to visualize data that spans several orders of magnitude, making it easier to see percentage changes over time.
