Trend & ADX by Gideon for Indian MarketsThis indicator is designed to help traders **identify strong trends** using the **Kalman Filter** and **ADX** (Average Directional Index). It provides **Buy/Sell signals** based on trend direction and ADX strength. I wanted to create something for Indian markets since there are not much available.
In a nut-shell:
✅ **Buy when the Kalman Filter turns green, and ADX is strong.
❌ **Sell when the Kalman Filter turns red, and ADX is strong.
📌 **Ignore signals if ADX is weak (below threshold).
📊 Use on 5-minute timeframes for intraday trading.
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1. Understanding the Indicator Components**
- **Green Line:** Indicates an **uptrend**.
- **Red Line:** Indicates a **downtrend**.
- The **line color change** signals a potential **trend reversal**.
**ADX Strength Filter**
- The **ADX (orange line)** measures trend strength.
- The **blue horizontal line** marks the **ADX threshold** (default: 20).
- A **Buy/Sell signal is only valid if ADX is above the threshold**, ensuring a strong trend.
**Buy & Sell Signals**
- **Buy Signal (Green Up Arrow)**
- Appears **one candle before** the Kalman line turns green.
- ADX must be **above the threshold** (default: 20).
- Suggests entering a **long position**.
- **Sell Signal (Red Down Arrow)**
- Appears **one candle before** the Kalman line turns red.
- ADX must be **above the threshold** (default: 20).
- Suggests entering a **short position**.
2. Best Settings for 5-Minute Timeframe**
For day trading on the **5-minute chart**, the following settings work best:
- **Kalman Filter Length:** `50`
- **Process Noise (Q):** `0.1`
- **Measurement Noise (R):** `0.01`
- **ADX Length:** `14`
- **ADX Threshold:** `20`
- **(Increase to 25-30 for more reliable signals in volatile markets)**
3. How to Trade with This Indicator**
**Entry Rules**
✅ **Buy Entry**
- Wait for a **green arrow (Buy Signal).
- Kalman Line must **turn green**.
- ADX must be **above the threshold** (strong trend confirmed).
- Enter a **long position** on the next candle.
❌ **Sell Entry**
- Wait for a **red arrow (Sell Signal).
- Kalman Line must **turn red**.
- ADX must be **above the threshold** (strong trend confirmed).
- Enter a **short position** on the next candle.
**Exit & Risk Management**
📌 **Stop Loss**:
- Place stop-loss **below the previous swing low** (for buys) or **above the previous swing high** (for sells).
📌 **Take Profit:
- Use a **Risk:Reward Ratio of 1:2 or 1:3.
- Exit when the **Kalman Filter color changes** (opposite trend signal).
📌 **Avoid Weak Trends**:
- **No trades when ADX is below the threshold** (low trend strength).
4. Additional Tips
- Works best on **liquid assets** like **Bank Nifty, Nifty 50, and large-cap stocks**.
- **Avoid ranging markets** with low ADX values (<20).
- Use alongside **volume analysis and support/resistance levels** for confirmation.
- Experiment with **ADX Threshold (increase for stronger signals, decrease for more trades).**
Best of Luck traders ! 🚀
Cari dalam skrip untuk "Buy sell"
mr.crypto731Description:
📊 Enhanced MACD with Strong Buy/Sell Signals 🚀
This script is designed to enhance the standard MACD indicator by adding clear, strong buy and sell signals. It includes:
MACD Line: A fast-moving average that reacts quickly to price changes.
Signal Line: A slower-moving average that smooths out price fluctuations.
MACD Histogram: The difference between the MACD Line and Signal Line, helping to identify trend strength and direction.
Key Features:
Strong Buy/Sell Signals: Uses crossovers of the MACD Line and Signal Line to generate strong buy/sell signals.
Color-Coded Background: Provides visual cues with background colors to highlight strong signals.
User-Friendly Interface: Customizable settings for MACD Fast Length, Slow Length, and Signal Smoothing.
JCM_MadridThis indicator provides dynamic bar coloring and buy/sell signals based on EMA relationships and price momentum. It allows traders to visually identify trend changes and potential trade opportunities directly on the chart.
Indicator Basics:
Name: The script is titled "JCM_Madrid".
Overlay: It overlays its calculations and outputs directly on the price chart.
User Inputs:
-Range: Defines the length of the EMA (Exponential Moving Average).
-Ref-1 and Ref-2: Set reference lengths for secondary EMAs used in the calculations.
-Source: The price data source for EMA calculations (e.g., close, open, high, low).
-Enable Buy/Sell: Boolean toggles to activate or deactivate buy and sell signals.
Calculations:
EMA Value: Computes the main EMA based on the source and Range.
CloseMA: The difference between the close price and the EMA.
SqzMA: The difference between a secondary EMA (Ref-1) and the main EMA.
RefMA: The difference between another secondary EMA (Ref-2) and the main EMA.
Bar Coloring:
Bars are colored based on the relationship between SqzMA and CloseMA:
Purple: When SqzMA > CloseMA.
Blue: When SqzMA < CloseMA.
Buy/Sell Signals:
A Buy Signal is generated when:
CloseMA crosses from below to above 0.
The close price is higher than the previous close.
Buy signals are enabled.
A Sell Signal is generated when:
CloseMA crosses from above to below 0.
The close price is lower than the previous close.
Sell signals are enabled.
Signals are displayed as labels on the chart:
"Buy": Green label below the candle.
"Sell": Yellow label below the candle
Dix$on's Weighted Volume FlowDixson's Weighted Volume Flow
Dixson's Weighted Volume Flow is a technical indicator designed to analyze and visualize the distribution of buy and sell volume within a given timeframe. It dynamically calculates the proportional allocation of volume based on price action within each bar, providing insights into market sentiment and activity. This indicator displays horizontal volume bars in a separate pane and annotates them with precise volume values.
How It Works
1. Volume Allocation:
- The indicator calculates buy and sell volume using the following formulas:
- Buy Volume = (Close - Low) / (High - Low) Total Volume
- Sell Volume = (High - Close) / (High - Low) Total Volume
- These formulas allocate volume proportionally based on the bar's price range, attributing more volume to buying or selling depending on the relationship between the close, high, and low prices.
2. Dynamic Scaling:
- The buy and sell volumes are scaled relative to their combined total for the period.
- The resulting values determine the length of the horizontal bars, providing a comparative view of buy and sell activity.
3. Bar Visualization:
- Buy Volume Bars: Displayed as green horizontal bars.
- Sell Volume Bars: Displayed as red horizontal bars.
- The lengths of the bars represent the dominance of buy or sell volume, scaled dynamically within the pane.
4. Labels:
- Each bar is annotated with a label showing its calculated buy or sell volume value.
5. Timeframe Adjustment:
- The indicator uses the request.security() function to fetch data from the selected timeframe, allowing users to customize their analysis for intraday, daily, or longer-term trends.
6. Customization Options:
- Enable or disable the indicator using a toggle.
- Adjust colors for the buy/sell bars and text labels to suit your chart theme.
How to Use It
1. Enable the Indicator:
- Activate the indicator using the "Enable/Disable" toggle in the settings.
2. Select a Timeframe:
- Choose the timeframe for analysis (e.g., 1-minute, 1-hour, daily). The indicator fetches volume data specific to the selected timeframe.
3. Interpret the Visualization:
- Compare Bar Lengths:
- Longer buy volume bars (green) indicate stronger buying activity.
- Longer sell volume bars (red) suggest dominant selling pressure.
- Labels:
- Use the labels to view the exact buy and sell volume values for precise analysis.
4. Combine with Other Tools:
- Use the indicator alongside price action analysis, support/resistance levels, or trend indicators to confirm market sentiment and detect potential reversals.
5. Monitor Imbalances:
- Significant disparities between buy and sell volume can signal shifts in market sentiment, such as the end of a trend or the start of a breakout.
Practical Applications
- Trend Confirmation:
- Align the dominance of buy or sell volume with price trends to confirm market direction.
- Reversal Signals:
- Watch for volume imbalances or a sudden shift in the dominance of buy or sell volume to identify potential reversals.
- High-Activity Zones:
- Identify areas with increased volume to anticipate significant price movements or key support/resistance interactions.
Dixson's Weighted Volume Flow provides a clear and systematic way to analyze market activity by visualizing the dynamics of buy and sell volume. It is particularly useful for traders looking to enhance their understanding of volume-based sentiment and its impact on price movements.
SMA Buy/Sell Strategy with Significant Slope and Dynamic TP/SLDescription:
This strategy uses a simple moving average (SMA) to detect trading opportunities based on the slope and proximity of price action. It ensures trades are only executed during significant trends, reducing false signals caused by sideways movements. The strategy incorporates dynamic risk management with an initial ambitious Take Profit (TP) and a Trailing Stop Loss (SL) to protect profits.
Key Features:
Trend Detection with SMA:
Two SMAs are calculated: one on High values and one on Low values.
Signals are generated when the price crosses these SMAs, ensuring:
Buy: Price closes above the SMA on High, with a significant upward slope.
Sell: Price closes below the SMA on Low, with a significant downward slope.
Slope Significance Check:
The slope of the SMA is calculated over a configurable period.
Only trends with a slope variation exceeding a user-defined percentage threshold are considered significant.
Dynamic Risk Management:
Ambitious Initial TP: Positions target a high percentage gain upon entry.
Trailing SL: Automatically adjusts as the price moves in favor of the trade, locking in profits.
Automatic Position Management:
Opposing signals close existing positions to avoid conflicting trades.
Configurable position size for risk control.
Parameters:
SMA Period: Number of candles for calculating the SMA.
Initial Take Profit (%): Percentage gain for the initial TP.
Trailing Stop Loss (%): Percentage for trailing SL based on the current price.
Slope Threshold (%): Minimum percentage change in SMA slope to confirm trend significance.
How It Works:
Buy Signal:
The price closes above the SMA on High values.
The slope of the SMA (on High) is positive and exceeds the slope threshold.
Sell Signal:
The price closes below the SMA on Low values.
The slope of the SMA (on Low) is negative and exceeds the slope threshold.
Exits:
A position closes at the Take Profit level, Trailing Stop Loss, or when an opposing signal is generated.
Use Case:
This strategy is ideal for trending markets where price action respects moving averages. It can be used on any timeframe or asset but is particularly effective in markets with clear directional movements.
Recommended Settings:
Timeframe: Works well on higher timeframes (e.g., 1H, 4H, Daily).
Slope Threshold (%): Default is 5%, adjust based on market volatility.
Initial TP and Trailing SL: Tailor to your risk/reward preferences.
By utilizing this strategy, traders can capitalize on significant market trends while dynamically managing risk. Test it on historical data to optimize the parameters for your preferred market!
Bull Bear Candles with Volume ProfileUser Guide for Bull Bear Candles Indicator with Keltner Channels
Author: NellyN
Introduction
This indicator helps identify potential bullish and bearish trends in the market by analyzing buying and selling volume over two configurable timeframes. It calculates the percentage of buying and selling volume and displays the current market condition based on two moving averages for 2 periods.
Key Features
• Volume Analysis : Calculates Buy and Sell Volume for two configurable timeframes (e.g., 5 min, 15 min, 15 min. and 1 hour, etc.) and displays them as percentages.
• Moving Averages : Uses one Moving Average (MA) for two different time periods to identify trends (uptrend when shorter-term MA is above longer-term MA). You can also choose other Moving Average types like SMA, EMA, WMA, RMA, VWMA, or HMA.
• Colored Candles : Candles are colored green for bullish conditions, red for bearish conditions, and gray for neutral conditions.
• Market Condition Labels : Displays labels in table-view indicating the current market condition based on Buy and Sell Volume (Very Bullish, Very Bearish, Bullish/Bearish Retracement, Chop).
• Alerts: Generates alerts for potential buy and sell signals based on indicator conditions (Note: Enable alerts in the indicator settings).
• Visual Signals: Provides visual signals through colored candles and market condition labels in addition to alerts.
Input Parameters
• Source: Close price (default) or Heikin Ashi
• Timeframe: Select the timeframe for price and volume data used in the indicator (e.g., Daily, Hourly).
• Colored Candles On: Enable (True) or disable (False) coloring candles based on market conditions.
• Enable Alerts: Enable (True) or disable (False) alerts for buy/sell signals.
• Length of MA: Sets the length for the MAs used in trend identification (minimum 1).
• Lookback Period Vol. 1 & 2: Define the timeframes used to calculate buying and selling volume and the MA calculation (e.g., 5 min, 15 min).
Understanding the Outputs
• Cloud Fill: The area between two MAs is filled with a color that reflects the trend (green for uptrend, red for downtrend).
• Table: Shows Buy Volume, Sell Volume, Buy Percentage, Sell Percentage, and the current Market Condition Labels. (If you decide to see them uncomment them from the code simply removing the // in front of the code)
• Colored Candles and Market Condition Labels: Look for green candles and bullish labels for potential buying opportunities, and vice versa for red candles and bearish labels.
Bullish green label appears when short-term MA is above long-term MA AND Buy Volume percentage is greater than 50%.
Red cross for exiting long entry appears when we have bearish volume OR bearish crossover of the MA for the 2 periods.
Bearish red label appears when short-term MA is below long-term MA AND Buy Volume percentage is less than 50%.
Green cross for exiting short entry appears when we have bullish volume OR bullish crossover of the MA for the 2 periods.
• Bullish/Bearish Retracement: The moving averages indicate a potential trend reversal, while the Buy Volume percentage suggests a continuation of the prior trend. The candle color may be green, red, or gray depending on the current price position relative to the moving averages.
• Chop (Gray Candle): The moving averages are flat and the Buy Volume percentage is not significantly above or below 50%.
• Buy/Sell Alerts: The indicator generates alerts based on specific conditions, but these should be used in conjunction with other trading strategies and careful risk management.
Important Notes
• This indicator is for informational purposes only and should not be considered financial advice. Back-test the indicator with historical data to understand its performance before using it for live trading.
• Combine this indicator with other technical analysis tools.
Optimus trader Optimus Trader
Indicator Description:
The Optimus Trader indicator is designed for technical traders looking for entry and exit points in financial markets. It combines signals based on volume, moving averages, VWAP (Volume Weighted Average Price), as well as the recognition of candlestick patterns such as Pin Bar and Inside Bars. This indicator helps identify opportune moments to buy or sell based on trends, volumes, and recent liquidity zones.
Parameters and Features:
1. Simple Moving Average (MA) and VWAP:
- Optimus Trader uses a 50-period simple moving average to determine the underlying trend. It also includes VWAP for precise price analysis based on traded volumes.
- These two indicators help identify whether the market is in an uptrend or downtrend, enhancing the reliability of buy and sell signals.
2. Volume :
- To avoid false signals, a volume threshold is set using a 20-period moving average, adjusted to 1.2 times the average volume. This filters signals by considering only high-volume periods, indicating heightened market interest.
3. Candlestick Pattern Recognition:
- Pin Bar: This sought-after candlestick pattern is detected for both bullish and bearish setups. A bullish or bearish *Pin Bar* often signals a possible reversal or continuation.
- *Inside Bar*: This price compression pattern is also detected, indicating a zone of indecision before a potential movement.
4. Trend:
- An uptrend is confirmed when the price is above the MA and VWAP, while a downtrend is identified when the price is below both indicators.
5. Liquidity Zones:
- Optimus Trader includes an approximate liquidity zone detection feature. By identifying recent support and resistance levels, the indicator detects if the price is near these zones. This feature strengthens the relevance of buy or sell signals.
6. Buy and Sell Signals:
- Buy: A buy signal is generated when the indicator detects a bullish *Pin Bar* or *Inside Bar* in an uptrend with high volume, and the price is close to a liquidity zone.
- Sell: A sell signal is generated when a bearish *Pin Bar* or *Inside Bar* is detected in a downtrend with high volume, and the price is near a liquidity zone.
Signal Display:
The signals are visible directly on the chart:
- A "BUY" label in green is displayed below the bar for buy signals.
- A "SELL" label in red is displayed above the bar for sell signals.
Summary:
This indicator is intended for traders seeking precise entry and exit points by integrating trend analysis, volume, and candlestick patterns. With liquidity zones, *Optimus Trader* helps minimize false signals, providing clear and accurate alerts.
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This description can be directly added to TradingView to help users quickly understand the features and logic of this indicator.
Trend Trader-RemasteredThe script was originally coded in 2018 with Pine Script version 3, and it was in invite only status. It has been updated and optimised for Pine Script v5 and made completely open source.
Overview
The Trend Trader-Remastered is a refined and highly sophisticated implementation of the Parabolic SAR designed to create strategic buy and sell entry signals, alongside precision take profit and re-entry signals based on marked Bill Williams (BW) fractals. Built with a deep emphasis on clarity and accuracy, this indicator ensures that only relevant and meaningful signals are generated, eliminating any unnecessary entries or exits.
Key Features
1) Parabolic SAR-Based Entry Signals:
This indicator leverages an advanced implementation of the Parabolic SAR to create clear buy and sell position entry signals.
The Parabolic SAR detects potential trend shifts, helping traders make timely entries in trending markets.
These entries are strategically aligned to maximise trend-following opportunities and minimise whipsaw trades, providing an effective approach for trend traders.
2) Take Profit and Re-Entry Signals with BW Fractals:
The indicator goes beyond simple entry and exit signals by integrating BW Fractal-based take profit and re-entry signals.
Relevant Signal Generation: The indicator maintains strict criteria for signal relevance, ensuring that a re-entry signal is only generated if there has been a preceding take profit signal in the respective position. This prevents any misleading or premature re-entry signals.
Progressive Take Profit Signals: The script generates multiple take profit signals sequentially in alignment with prior take profit levels. For instance, in a buy position initiated at a price of 100, the first take profit might occur at 110. Any subsequent take profit signals will then occur at prices greater than 110, ensuring they are "in favour" of the original position's trajectory and previous take profits.
3) Consistent Trend-Following Structure:
This design allows the Trend Trader-Remastered to continue signaling take profit opportunities as the trend advances. The indicator only generates take profit signals in alignment with previous ones, supporting a systematic and profit-maximising strategy.
This structure helps traders maintain positions effectively, securing incremental profits as the trend progresses.
4) Customisability and Usability:
Adjustable Parameters: Users can configure key settings, including sensitivity to the Parabolic SAR and fractal identification. This allows flexibility to fine-tune the indicator according to different market conditions or trading styles.
User-Friendly Alerts: The indicator provides clear visual signals on the chart, along with optional alerts to notify traders of new buy, sell, take profit, or re-entry opportunities in real-time.
ATT Model with Buy/Sell SignalsIndicator Summary
This indicator is based on the ATT (Arithmetic Time Theory) model, using specific turning points derived from the ATT sequence (3, 11, 17, 29, 41, 47, 53, 59) to identify potential market reversals. It also integrates the RSI (Relative Strength Index) to confirm overbought and oversold conditions, triggering buy and sell signals when conditions align with the ATT sequence and RSI level.
Turning Points: Detected based on the ATT sequence applied to bar count. This suggests high-probability areas where the market could turn.
RSI Filter: Adds strength to the signals by ensuring buy signals occur when RSI is oversold (<30) and sell signals when RSI is overbought (>70).
Max Signals Per Session: Limits signals to two per session to reduce over-trading.
Entry Criteria
Buy Signal: Enter a buy trade if:
The indicator displays a green "BUY" marker.
RSI is below the oversold level (default <30), suggesting a potential upward reversal.
Sell Signal: Enter a sell trade if:
The indicator displays a red "SELL" marker.
RSI is above the overbought level (default >70), indicating a potential downward reversal.
Exit Criteria
Take Profit (TP):
Define TP as a fixed percentage or point value based on the asset's volatility. For example, set TP at 1.5-2x the risk, or a predefined point target (like 50-100 points).
Alternatively, exit the position when price approaches a key support/resistance level or the next significant swing high/low.
Stop Loss (SL):
Place the SL below the recent low (for buys) or above the recent high (for sells).
Set a fixed SL in points or percentage based on the asset’s average movement range, like an ATR-based stop, or limit it to a specific risk amount per trade (1-2% of account).
Trailing into Profit
Use a trailing strategy to lock in profits and let winning trades run further. Two main options:
ATR Trailing Stop:
Set the trailing stop based on the ATR (Average True Range), adjusting every time a new candle closes. This can help in volatile markets by keeping the stop at a consistent distance based on recent price movement.
Break-Even and Partial Profits:
When the price moves in your favor by a set amount (e.g., 1:1 risk/reward), move SL to the entry (break-even).
Take partial profit at intermediate levels (e.g., 50% at 1:1 RR) and trail the remainder.
Risk Management for Prop Firm Evaluation
Prop firms often have strict rules on daily loss limits, max drawdowns, and minimum profit targets. Here’s how to align your strategy with these:
Limit Risk per Trade:
Keep risk per trade to a conservative level (e.g., 1% or lower of your account balance). This allows for more room in case of a drawdown and aligns with most prop firm requirements.
Daily Loss Limits:
Set a daily stop-loss that ensures you don’t exceed the firm’s rules. For example, if the daily limit is 5%, stop trading once you reach a 3-4% drawdown.
Avoid Over-Trading:
Stick to the max signals per session rule (one or two trades). Taking only high-probability setups reduces emotional and reactive trades, preserving capital.
Stick to a Profit Target:
Aim to meet the evaluation’s profit goal efficiently but avoid risky or oversized trades to reach it faster.
Avoid Major Economic Events:
News events can disrupt technical setups. Avoid trading around significant releases (like FOMC or NFP) to reduce the chance of sudden losses due to high volatility.
Summary
Using this strategy with discipline, a structured entry/exit approach, and tight risk management can maximize your chances of passing a prop firm evaluation. The ATT model’s turning points, combined with the RSI, provide an edge by highlighting reversal zones, while limiting trades to 1-2 per session helps maintain controlled risk.
Jackson Volume breaker Indication# Jackson Volume Breaker Beta
### Advanced Volume Analysis Indicator
## Description
The Jackson Volume Breaker Beta is a sophisticated volume analysis tool that helps traders identify buying and selling pressure by analyzing price action and volume distribution. This indicator separates and visualizes buying and selling volume based on where the price closes within each candle's range, providing clear insights into market participation and potential trend strength.
## Key Features
1. **Smart Volume Distribution**
- Automatically separates buying and selling volume
- Color-coded volume bars (Green for buying, Red for selling)
- Winning volume always displayed on top for quick visual reference
2. **Real-time Volume Analysis**
- Shows current candle's buy/sell ratio
- Displays total volume with smart number formatting (K, M, B)
- Percentage-based volume distribution
3. **Technical Overlays**
- 20-period Volume Moving Average
- Dynamic scaling relative to price action
- Clean, uncluttered visual design
## How to Use
### Installation
1. Add the indicator to your chart
2. Adjust the Volume Scale input based on your preference (default: 0.08)
3. Toggle the Moving Average display if desired
### Reading the Indicator
#### Volume Bars
- **Green Bars**: Represent buying volume
- **Red Bars**: Represent selling volume
- **Stacking**: The larger volume (winning side) is always displayed on top
- **Height**: Relative to the actual volume, scaled for chart visibility
#### Information Table
The top-right table shows three key pieces of information:
1. **Left Percentage**: Winning side's volume percentage
2. **Middle Percentage**: Losing side's volume percentage
3. **Right Number**: Total volume (abbreviated)
### Trading Applications
1. **Trend Confirmation**
- Strong buying volume in uptrends confirms bullish pressure
- High selling volume in downtrends confirms bearish pressure
- Volume divergence from price can signal potential reversals
2. **Support/Resistance Breaks**
- High volume on breakouts suggests stronger moves
- Low volume on breaks might indicate false breakouts
- Monitor volume distribution for break direction confirmation
3. **Reversal Identification**
- Volume shift from selling to buying can signal potential bottoms
- Shift from buying to selling can indicate potential tops
- Use with price action for better entry/exit points
## Input Parameters
1. **Volume Scale (0.01 to 1.0)**
- Controls the height of volume bars
- Default: 0.08
- Adjust based on your chart size and preference
2. **Show MA (True/False)**
- Toggles 20-period volume moving average
- Useful for identifying volume trends
- Default: True
3. **MA Length (1+)**
- Changes the moving average period
- Default: 20
- Higher values for longer-term volume trends
## Best Practices
1. **Multiple Timeframe Analysis**
- Compare volume patterns across different timeframes
- Look for volume convergence/divergence
- Use higher timeframes for major trend confirmation
2. **Combine with Other Indicators**
- Price action patterns
- Support/resistance levels
- Momentum indicators
- Trend indicators
3. **Volume Pattern Recognition**
- Monitor for unusual volume spikes
- Watch for volume climax patterns
- Identify volume dry-ups
## Tips for Optimization
1. Adjust the Volume Scale based on your chart size
2. Use smaller timeframes for detailed volume analysis
3. Compare current volume bars to historical patterns
4. Watch for volume/price divergences
5. Monitor volume distribution changes near key price levels
## Note
This indicator works best when combined with proper price action analysis and risk management strategies. It should not be used as a standalone trading system but rather as part of a comprehensive trading approach.
## Version History
- Beta Release: Initial public version
- Features buy/sell volume separation, moving average, and real-time analysis
- Optimized for both intraday and swing trading timeframes
## Credits
Developed by Jackson based on other script creators
Special thanks to the trading community for feedback and suggestions
FS Scorpion TailKey Features & Components:
1. Custom Date & Chart-Based Controls
The software allows users to define whether they want signals to start on a specific date (useSpecificDate) or base calculations on the visible chart’s range (useRelativeScreenSumLeft and useRelativeScreenSumRight).
Users can input the number of stocks to buy/sell per signal and decide whether to sell only for profit.
2. Technical Indicators Used
EMA (Exponential Moving Average): Users can define the length of the EMA and specify if buy/sell signals should occur when the EMA is rising or falling.
MACD (Moving Average Convergence Divergence): MACD crossovers, slopes of the MACD line, signal line, and histogram are used for generating buy/sell signals.
ATR (Average True Range): Signals are generated based on rising or falling ATR.
Aroon Indicator: Buy and sell signals are based on the behavior of the Aroon upper and lower lines.
RSI (Relative Strength Index): Tracks whether the RSI and its moving average are rising or falling to generate signals.
Bollinger Bands: Buy/sell signals depend on the basis, upper, and lower band behavior (rising or falling).
3. Signal Detection
The software creates arrays for each indicator to store conditions for buy/sell signals.
The allTrue() function checks whether all conditions for buy/sell signals are true, ensuring that only valid signals are plotted.
Signals are differentiated between buy-only, sell-only, and both buy and sell (dual signal).
4. Visual Indicators
Vertical Lines: When buy, sell, or dual signals are detected, vertical lines are drawn at the corresponding bar with configurable colors (green for buy, red for sell, silver for dual).
Buy/Sell Labels: Visual labels are plotted directly on the chart to denote buy or sell signals, allowing for clear interpretation of the strategy.
5. Cash Flow & Metrics Display
The software maintains an internal ledger of how many stocks are bought/sold, their prices, and whether a profit is being made.
A table is displayed at the bottom right of the chart, showing:
Initial investment
Current stocks owned
Last buy price
Market stake
Net profit
The table background turns green for profit and red for loss.
6. Dynamic Decision Making
Buy Condition: If a valid buy signal is generated, the software decrements the cash balance and adds stocks to the inventory.
Sell Condition: If the sell signal is valid (and meets the profit requirement), stocks are sold, and cash is incremented.
A fallback check ensures the sell logic prevents selling more stocks than are available and adjusts stock holding appropriately (e.g., sell half).
Customization and Usage
Indicator Adjustments: The user can choose which indicators to activate (e.g., EMA, MACD, RSI) via input controls. Each indicator has specific customizable parameters such as lengths, slopes, and conditions.
Signal Flexibility: The user can adjust conditions for buying and selling based on various technical indicators, which adds flexibility in implementing trading strategies. For example, users may require the RSI to be higher than its moving average or trigger sales only when MACD crosses under the signal line.
Profit Sensitivity: The software allows the option to sell only when a profit is assured by checking if the current price is higher than the last buy price.
Summary of Usage:
Indicator Selection: Enable or disable technical indicators like EMA, MACD, RSI, Aroon, ATR, and Bollinger Bands to fit your trading strategy.
Custom Date/Chart Settings: Choose whether to calculate based on specific time ranges or visible portions of the chart.
Dynamic Signal Plotting: Once buy or sell conditions are met, the software will visually plot signals on your chart, giving clear entry and exit points.
Investment Tracking: Real-time tracking of stock quantities, investments, and profit ensures a clear view of your trading performance.
Backtesting: Use this software for backtesting your strategy by analyzing how buy and sell signals would have performed historically based on the chosen indicators.
Conclusion
The FS Scorpion Tail software is a robust and flexible trading tool, allowing traders to develop custom strategies based on multiple well-known technical indicators. Its visual aid, coupled with real-time investment tracking, makes it valuable for systematic traders looking to automate or refine their trading approach.
UtilityLibrary "Utility"
A utility library for various trading tools such as signal generation, custom indicators, and multi-condition crossovers.
multiCrossover(source1, source2, threshold1, threshold2)
multiCrossover
@description Detects multi-condition crossovers between two sources with threshold filters.
Parameters:
source1 (float) : The first data series to compare.
source2 (float) : The second data series to compare.
threshold1 (float) : A value that source1 must exceed to trigger the crossover.
threshold2 (float) : A value that source2 must exceed to trigger the crossunder.
Returns: A tuple: (crossUp, crossDown) where crossUp is a boolean for upward crossover, and crossDown is for downward crossover.
macdCustom(source, fastLength, slowLength, signalLength, macdThresh)
macdCustom
@description Calculates custom MACD signals based on thresholds.
Parameters:
source (float) : The price data or input series.
fastLength (simple int) : The length of the fast EMA.
slowLength (simple int) : The length of the slow EMA.
signalLength (simple int) : The signal line length.
macdThresh (float) : A threshold for the MACD line to confirm buy/sell signals.
Returns: A tuple: (macdBuySignal, macdSellSignal) where macdBuySignal is true when MACD crosses above, and macdSellSignal is true when MACD crosses below the signal line.
combinedMacdRsi(source, fastLength, slowLength, signalLength, rsiLength, macdThresh, rsiThresh)
combinedMacdRsi
@description Generates combined signals from MACD and RSI indicators.
Parameters:
source (float) : The price data or input series.
fastLength (simple int) : The length of the fast EMA for MACD.
slowLength (simple int) : The length of the slow EMA for MACD.
signalLength (simple int) : The signal line length for MACD.
rsiLength (simple int) : The length of the RSI calculation.
macdThresh (float) : The threshold for MACD signals.
rsiThresh (float) : The threshold for RSI signals.
Returns: A tuple: (buySignal, sellSignal) where buySignal is generated when MACD is positive and RSI is below the threshold, and sellSignal when MACD is negative and RSI is above the threshold.
movingAverageCrossover(source, shortLength, longLength)
movingAverageCrossover
@description Detects crossovers between short-term and long-term moving averages.
Parameters:
source (float) : The price data or input series.
shortLength (int) : The length of the short-term moving average.
longLength (int) : The length of the long-term moving average.
Returns: A tuple: (crossUp, crossDown) where crossUp is true when the short-term MA crosses above the long-term MA, and crossDown when the reverse occurs.
Manoj Personal EMA 5-203 EMA Trading Strategy Script Overview:
EMAs Used:
5 EMA: Short-term moving average.
20 EMA: Medium-term moving average.
564 EMA: Long-term moving average to identify overall trend direction.
Entry Signals:
Strong Buy: Triggered when:
Price is above the 564 EMA (uptrend).
The 5 EMA crosses above the 20 EMA (bullish crossover).
The current candle is green (close > open).
Strong Sell: Triggered when:
Price is below the 564 EMA (downtrend).
The 5 EMA crosses below the 20 EMA (bearish crossover).
The current candle is red (close < open).
Exit Signal:
Position is closed when the price touches back to the 564 EMA (either side, up or down):
A "Close Position" label is shown in green for long trades.
A "Close Position" label is shown in red for short trades.
Risk Management:
Stop-Loss: Placed at the last swing low (for longs) or last swing high (for shorts), calculated over the last 10 bars.
Take-Profit: A 1:3 risk/reward ratio is used, where the potential reward is three times the risk.
Alerts:
Alerts are triggered for buy and sell signals.
Alerts are also triggered when the exit condition (price touching the 564 EMA) is met.
This script is designed to work on timeframes of 15 minutes or higher but can also be used for 5-minute scalping. It plots the EMAs on the chart, highlights buy/sell opportunities, shows stop-loss and take-profit levels, and generates alerts for key signals.
Elite By Ashu4750Inside Bar Detection:
The script identifies inside bars, which are candles where the high is lower and the low is higher than the previous bar. It tracks the high and low of the mother candle (the candle preceding the inside bars) and plots the ranges on the chart using lines and labels.
Exponential Moving Averages (EMA):
Three EMAs are calculated and plotted (with default periods of 9, 21, and 50). This is a classic trend-following technique used to smooth price data and identify the direction of the market.
Bollinger Bands (BB):
The script includes a Bollinger Band calculation using the simple moving average (SMA) with a standard deviation multiplier. The bands help visualize volatility and potential overbought or oversold conditions.
The user can configure settings like the length of the SMA and the multiplier for the upper and lower bands.
Volume Weighted Average Price (VWAP):
The VWAP is plotted on the chart and reset based on user-defined timeframes (e.g., session, week, month). VWAP is a popular indicator for institutional trading, as it shows the average price weighted by volume and can act as support or resistance.
Crossover Signals (Buy/Sell):
A combination of crossovers between VWAP, EMAs, and Bollinger Bands triggers buy and sell signals. Specifically:
Buy signal is generated when VWAP crosses over the 9 EMA, the close crosses over the Bollinger Band line, and VWAP crosses over the Bollinger Band.
Sell signal is triggered when VWAP crosses under the 9 EMA, and similar conditions exist for the other indicators.
These signals are plotted with a green "Buy" or red "Sell" marker below the bars, and alerts are set up for both buying and selling.
Additional Bollinger Band Configuration:
The script provides more flexibility in Bollinger Bands by allowing the user to select between SMA, EMA, or SMMA for the moving average.
The user can also choose the standard deviation multiplier and whether to display the bands.
Alerts:
Buy and sell conditions are linked to alert conditions, allowing the user to be notified when a signal is triggered, based on the defined crossover logic.
Technical Breakdown:
Inside Bar Logic: Tracks inside bars and plots lines representing the high and low of the mother candle. The line and label functions are used to draw these on the chart, which provides a visual representation of the range.
EMA and VWAP Crossovers:
The 9, 21, and 50-period EMAs are calculated and used in crossover logic with VWAP. Crossovers between VWAP and EMAs are a common method for identifying potential trend changes.
Bollinger Bands:
The Bollinger Band component allows for volatility analysis by calculating the upper and lower bands based on the moving average's standard deviation.
Alert System:
Alerts are set for crossover signals, allowing for real-time notifications of potential buy and sell opportunities.
Visualization:
The script plots the EMAs, VWAP, and Bollinger Bands on the price chart. It highlights inside bar patterns and displays buy/sell markers on the chart when the specified conditions are met. These visual cues make it easier to follow the market’s movements and spot trading opportunities.
Customizability:
The script is highly customizable with inputs for:
EMA periods.
VWAP settings.
Bollinger Band parameters (moving average type, length, standard deviation).
Candle color options for inside bars.
In this traders looking for multiple indicators to analyze market trends, volatility, and price action.
best indicator at 15 minut This Pine Script code builds an indicator called EMA Crossover with Historical Price Projection that combines two components:
EMA Crossover Strategy:
EMA 9 and EMA 21: The script calculates two exponential moving averages (EMAs) using the ta.ema() function. The crossover between these EMAs generates buy/sell signals.
A bullish crossover (when EMA 9 crosses above EMA 21) signals a buy.
A bearish crossover (when EMA 9 crosses below EMA 21) signals a sell.
These buy/sell signals are visualized on the chart using the plotshape() function with green and red symbols.
Historical Price Projection:
The code projects future prices based on historical price trends. It takes into account growth factors (user-defined drift percentages) to estimate future prices.
Projection Line: It draws a projection line from the anchor point (set by the user) using historical data. The drift factor allows you to control the projection's slope.
Forecasting Area: It shows an optional area around the projected price, adjusting the width with a user-defined growth factor for the forecast's uncertainty.
Key Sections:
Inputs:
User-defined inputs for controlling the growth factor, line styles, and forecasting area settings.
An anchoring point is provided to determine from which bar the price projection should start.
EMA Crossover:
The crossover conditions for EMA 9 and EMA 21 are defined, and the script generates buy and sell signals at those crossovers.
Historical Price Projection:
It stores the percentage changes between bars in barDeltaPercents.
It projects the future price based on these percentages and the user-defined drift factor.
The projected price is visualized using polyline.new(), and a shaded area can be added to show the range of price possibilities.
Execution Logic:
The script runs when the current time is greater than the anchor point.
If the anchor point is too far back in history, it gives a warning via the showInfoPanel function.
As new bars are confirmed, the drift is calculated, and the projection line and area are updated based on historical price changes.
Overall Flow:
It gathers price data up to 500 bars from the anchor point.
Based on the historical price trend, it forecasts the future price with a projection line and an optional shaded area.
The crossover logic for EMA 9 and 21 provides actionable signals on when to buy or sell.
Delta Flow Profile [LuxAlgo]The Delta Flow Profile is a charting tool that tracks and visualizes money flow and the difference between buying and selling pressure accumulated within multiple price ranges over a specified period. It reveals the relationship between an asset's price and traders' willingness to buy or sell, helping traders identify significant price levels and analyze market activity.
The Normalized Profile displays the percentage of money flow at each price level relative to the maximum money flow level, enabling traders to easily compare levels and understand the relative importance of each price point in the context of overall trading activity.
🔶 USAGE
The Delta Flow Profile is made of two principal components with different usability, each one of them described in the sub-sections below.
🔹 Money Flow Profile
The Money Flow Profile illustrates the total buying and selling activity at different price ranges. By analyzing this profile, users can identify key price zones with substantial buying or selling pressure. These zones can often act as potential support or resistance.
The rows of the Money Flow Profile represent the trading activity at specific price ranges over a given period.
A normalized profile is included to compare each zone relative to the peak money flow using a percentage, with 100% indicating that a price range is the one with the highest accumulated money flow.
🔹 Delta Profile
The Delta Profile assesses the dominant sentiment (buying or selling) from volume delta at different price levels to gauge market sentiment and potential reversals.
Delta Profile rows with more significant buying or selling volume indicate dominance from one side of the market in that specific price area. Price coming back to that area might indicate willingness from a dominant side to further accumulate orders within it, potentially causing price to follow the direction established by this dominant side afterward.
The volume delta is determined from the user-selected Polarity Method, with "Bar Polarity" using candle sentiment to determine if a bar associated volume is buying or selling volume, and "Bar Buying/Selling Pressure" making use of the high/low price to obtain more precise results.
🔹 Level of Significance
Users can quickly highlight the price levels with the highest recorded money flow activity through the included "Level of Significance". Various display methods are included:
Developing: Show the price level with the highest recorded money flow activity spanning over the indicator calculation interval.
Level: Show the price level with the highest recorded money flow activity.
Row: Show the price zone with the highest recorded money flow activity.
These levels/zones can be used as potential support/resistance points and can serve as a reference of where prices might go next for market participants to accumulate orders.
🔶 SETTINGS
The script offers a range of customizable settings to tailor the analysis to your trading needs.
🔹 Calculation Settings
Money Flow Profile: Toggles the visibility of the Money Flow Profile.
Normalized: Toggles the visibility of the Normalized Profile.
Sentiment Profile: Toggles the visibility of the Sentiment Profile.
Polarity Method: Choose between Bar Polarity or Bar Buying/Selling Pressure to calculate the Sentiment Profile.
Level of Significance: Toggles the visibility of the level of significance line/zone.
Lookback Length / Fixed Range: Sets the lookback length.
Number of Rows: Specify how many rows each profile histogram will have.
🔹 Display Settings
Profile Width %: Alters the width of the rows in the histogram, relative to the profile length.
Profile Horizontal Offset: Enables moving the profile on the horizontal axis.
Profile Text: Toggles the visibility of profile texts, and alters the size of the text. Setting to Auto will keep the text within the box limits.
Currency: Extends the profile text with the traded currency.
Profile Price Levels: Toggles the visibility of the profile price levels.
🔶 RELATED SCRIPTS
Money-Flow-Profile
Volume-Profile-with-Node-Detection
Tick CVD [Kioseff Trading]Hello!
This script "Tick CVD" employs live tick data to calculate CVD and volume delta! No tick chart required.
Features
Live price ticks are recorded
CVD calculated using live ticks
Delta calculated using live ticks
Tick-based HMA, WMA, EMA, or SMA for CVD and price
Key tick levels (S/R CVD & price) are recorded and displayed
Price/CVD displayable as candles or lines
Polylines are used - data visuals are not limited to 500 points.
Efficiency mode - remove all the bells and whistles to capitalize on efficiently calculated/displayed tick CVD and price
How it works
While historical tick-data isn't available to non-professional subscribers, live tick data is programmatically accessible. Consequently, this indicator records live tick data to calculate CVD, delta, and other metrics for the user!
Generally, Pine Scripts use the following rules to calculate volume/price-related metrics:
Bullish Volume: When the close price is greater than the open price.
Bearish Volume: When the close price is less than the open price.
This script, however, improves on that logic by utilizing live ticks. Instead of relying on time-series charts, it records up ticks as buying volume and down ticks as selling volume. This allows the script to create a more accurate CVD, delta, or price tick chart by tracking real-time buying and selling activity.
Price can tick fast; therefore, tick aggregation can occur. While tick aggregation isn't necessarily "incorrect", if you prefer speed and efficiency it's advised to enable "efficiency mode" in a fast market.
The image above highlights the tick CVD and price tick graph!
Green price tick graph = price is greater than its origin point (first script load)
Red price tick graph = price is less than its origin point
Blue tick CVD graph = CVD, over the calculation period, is greater than 0.
Red tick CVD graph = CVD is less than 0 over the calculation period.
The image above explains the right-oriented scales. The upper scale is for the price graph and the lower scale for the CVD graph.
The image above explains the circles superimposed on the scale lines for the price graph and the CVD graph.
The image above explains the "wavy" lines shown by the indicator. The wavy lines correspond to tick delta - whether the recorded tick was an uptick or down tick and whether buy volume or sell volume transpired.
The image above explains the blue/red boxes displayed by the indicator. The boxes offer an alternative visualization of tick delta, including the magnitude of buying/selling volume for the recorded tick.
Blue boxes = buying volume
Red boxes = selling volume
Bright blue = high buying volume (relative)
Bright red = high selling volume (relative)
Dim blue = low buying volume (relative)
Dim red = low selling volume (relative)
The numbers displayed in the box show the numbered tick and the volume delta recorded for the tick.
The image above further explains visuals for the CVD graph.
Dotted red lines indicate key CVD peaks, while dotted blue lines indicate key CVD bottoms.
The white dotted line reflects the CVD average of your choice: HMA, WMA, EMA, SMA.
The image above offers a similar explanation of visuals for the price graph.
The image above offers an alternative view for the indicator!
The image above shows the indicator when efficiency mode is enabled. When trading a fast market, enabling efficiency mode is advised - the script will perform quicker.
Of course, thank you to @RicardoSantos for his awesome library I use in almost every script :D
Thank you for checking this out!
DTB
Dynamic Trendline Bands with Buy/Sell Pressure Detection
This indicator provides a comprehensive analysis of price movements by incorporating smoothed high and low bands, a midline, and the detection of buying and selling pressure. It is designed to help traders identify key support and resistance levels as well as potential buy and sell signals.
**Features:**
- **Smooth High and Low Bands:** Based on the highest high and lowest low over a specified period, smoothed using a simple moving average (SMA) to reduce noise and enhance clarity.
- **Midline:** The average of the smoothed high and low bands, providing a central reference point for price movements.
- **Buying and Selling Pressure Detection:** Highlights candles with significant buying or selling pressure, indicated by light green for buying pressure and light red for selling pressure. This is determined based on volume thresholds and price movement.
- **Trendlines:** Dynamic trendlines are drawn based on recent highs and lows, helping to visualize the current trend direction.
**How to Use:**
1. **High-Low Bands:** Use these bands to identify key support and resistance levels.
2. **Midline:** Monitor the midline for potential mean reversion trades.
3. **Buying/Selling Pressure Candles:** Look for candles highlighted in light green or red to identify potential buy or sell signals.
4. **Trendlines:** Follow the dynamic trendlines to understand the direction of the current trend.
**Inputs:**
- **Length:** Number of bars to consider for calculating the highest high and lowest low (default: 200).
- **Smooth Length:** Period for the simple moving average to smooth the high and low bands (default: 10).
- **Volume Threshold Multiplier:** Multiplier for the average volume to detect significant buying or selling pressure (default: 1.5).
This indicator is suitable for all timeframes and can be used in conjunction with other technical analysis tools to enhance your trading strategy.
Weighted Moving Range with Trend Signals (WMR-TS)Weighted Moving Range with Trend Signals (WMR-TS)
Technical analysis involves analyzing statistical trends from trading activity , such as price movement and volume, to make trading decisions. Technical indicators are mathematical calculations based on the price, volume, or open interest of a security or contract. They are used by traders to analyze price movements and predict future market behavior. The WMR-TS indicator combines weighted moving averages and range calculations to identify key trading levels and generate buy/sell signals. It dynamically adjusts to market conditions, offering traders insights into potential support, resistance, and trend reversal points. Key levels are color-coded for quick interpretation. It utilizes weighted moving averages (WMA) and range calculations to determine these levels, making it a robust tool for both trending and ranging markets.
SUMMARY
Parameters :
WMA Length : Determines the length for the primary weighted moving average.
Highest High Length : Sets the period for calculating the highest high.
Lowest Low Length : Sets the period for calculating the lowest low.
Range Corrector : Adjusts the range calculation slightly for fine-tuning.
Top Level : Multiplier for determining the top level from the calculated range.
Bottom Level : Multiplier for determining the bottom level from the calculated range.
Levels Visibility : Sets how many recent bars will display the levels.
Trading Zones :
Short Area : Highlighted zone indicating potential shorting opportunities.
Long Area : Highlighted zone indicating potential buying opportunities.
The Levels :
Wave (Yellow): Midpoint of the calculated range, adjusted by WMA.
Top Level (Red): Calculated upper boundary of the trading range.
Sell Level (Pink): Intermediate sell level.
Resistance Level (Magenta): Immediate resistance level.
Support Level (Cyan): Immediate support level.
Buy Level (Light Green): Intermediate buy level.
Bottom Level (Dark Green): Calculated lower boundary of the trading range.
Interpreting the Signals :
Hammer Signal : Red circles above bars indicate potential sell signals.
Rocket Signal : Green circles below bars indicate potential buy signals.
KEY CONCEPTS
Highest High and Lowest Low :
These values represent the highest high ( HH ) and lowest low ( LL ) over a specified number of periods.
Support Level :
This is the lower boundary of the trading range. It is a price level where demand is strong enough to prevent the price from falling further. As the price approaches the support level, it is likely to bounce back up.
Resistance Level :
This is the upper boundary of the trading range. It is a price level where supply is strong enough to prevent the price from rising further. As the price approaches the resistance level, it is likely to pull back down.
THE USE OF MULTIPLIERS :
The script uses several multipliers to adjust and fine-tune the calculated support and resistance levels, as well as to control the range and sensitivity of these levels. Here is a detailed explanation of these multipliers and their purpose:
Range Corrector : This multiplier adjusts the calculated high ( H ) and low ( L ) levels, adding flexibility to how these levels are positioned relative to the highest high and lowest low. It ranges from -1 to 1 , with a default value of 0 . The use of positive values increase the range, making the calculated levels further apart. Thus, using negative values decrease the range, bringing the calculated levels closer together.
Top Level : This multiplier adjusts the distance of the top level from the calculated high H ) level. It fluctuates from 0 to 2 , with a default value of 0.382 . Higher values will push the top level further above the high level, while lower values will bring it closer.
Bottom Level : This multiplier adjusts the distance of the bottom support level from the calculated low support level. Ranging from 0 to 2, with a default value of 0.214, the higher values will push the bottom level further below the low level, while lower values will bring it closer.
The script plots the support and resistance levels on the chart, allowing traders to visualize the trading range. Color-coded zones are used to indicate areas where buying or selling opportunities may arise based on the current price relative to the trading range. A trading range refers to the area between a price's support and resistance levels over a specific period of time. Within this range, the price of the security fluctuates up and down but does not break out above the resistance or below the support. Support and resistance levels to make trading decisions. Buying near the support level and selling near the resistance level is a common strategy. When the price moves above the resistance level, it is called a breakout . A breakout often indicates that the price may start a new upward trend . Conversely, when the price moves below the support level, it is called a breakdown . A breakdown often indicates that the price may start a new downward trend . By understanding and utilizing trading ranges, traders can make more informed decisions, optimize their trading strategies, and manage risk more effectively.
Understanding Moving Averages
A moving average (MA) is a widely used technical indicator that helps smooth out price data by creating a constantly updated average price. The main purpose of using a moving average is to identify the direction of the trend and to reduce the "noise" of random price fluctuations. The Weighted Moving Average ( WMA ) assigns different weights to each period, with more recent periods typically given more weight. A 10-day WMA might give the most recent day a weight of 10, the second most recent day a weight of 9, and so on. It is useful for traders who want to emphasize recent price data more than older data. When the price is above the moving average, it suggests an Bullish trend . A Bearish Trend is expected to take place when the price is below the moving average. Understanding the price reactions around these levels can be used to make trading decisions.
APPLYING CONCEPTS
Support and Resistance Calculations in the Script :
The script calculates dynamic support and resistance levels using weighted moving averages ( WMA s) and the highest high and lowest low over specified periods. Buy ( Rocket ) and sell ( Hammer ) signals are generated based on the crossing of the price with calculated top and bottom levels.These signals help traders identify potential entry and exit points within the trading range .
Weighted Moving Average (WMA) Application in the Script
This script calculates a special trendWMA using the close price that helps in creating a more dynamic moving average that considers both high and low price actions. This modified WMA is used in conjunction with highest high and lowest low values over specified periods to calculate dynamic support and resistance levels.
Explanation of the Levels in the Script
By understanding these levels, traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements. The script incorporates several key levels levels that traders can use to better anticipate price movements and make more informed trading decisions. Leveraging the principles of Fibonacci retracement ratios ( 23.6%, 38.2%, 50%, 61.8%, and 100% ) to identify key support and resistance zones can also serve for gauging the overall market sentiment.
Top Level and Sell Leve l: Used to identify potential resistance zones where the price may reverse or pause.
Support Level and Buy Level : Used to identify potential support zones where the price may bounce.
Upper and Lower Pivot Values : Serve as intermediate levels for possible price retracements or extensions within the trading range.
Wave Level : Indicates the central trend direction, which can be useful for gauging the overall market sentiment.
Alerts are a crucial part of the script as they notify traders of potential buy and sell signals based on predefined conditions. There are two main alerts: one for a " Hammer " signal (sell condition) and one for a " Rocket " signal (buy condition).
Adjust the input parameters to fit your trading style and the specific asset being analyzed. Shorter lengths may be more responsive to price changes but can produce more false signals , while longer lengths provide smoother signals but may lag . Always backtest the indicator on historical data to understand its behavior and performance. Also remember that different markets may require different parameter settings for optimal performance.
Keep in mind that by nature like all moving averages, WMAs lag behind price action. This means that signals may be delayed. The indicator performs differently in various market conditions. Always consider the overall market context when interpreting signals.
Adjusting parameters like the range corrector and visibility can help tailor the indicator to specific market conditions or trading strategies, improving its effectiveness. The script uses the calculated levels to plot lines and fill zones on the chart, helping traders visualize potential support, resistance, and trend reversal points. The use of multipliers allows for dynamic adjustment of these levels, making the indicator flexible and adaptable to different market conditions.
I think traders can make more informed decisions about where to enter and exit trades, manage risk, and anticipate potential market movements following this code. Stay safe and always remember that market is always changing. Use this tool if you want, please stay informed and plan safe trades,
D.
Enhanced Forex IndicatorDescription of the "Enhanced Forex Indicator"
The "Enhanced Forex Indicator" is designed for traders who want a comprehensive technical analysis tool on the TradingView platform. This script integrates Exponential Moving Averages (EMAs), support and resistance zones, and candlestick pattern recognition to provide actionable trading signals, particularly useful for Forex and other financial markets. The script is suitable for intraday trading and swing trading.
Components of the Indicator
Exponential Moving Averages (EMAs):
Short EMA (Blue Line): Faster responding average, good for identifying recent trend changes.
Long EMA (Red Line): Slower moving average, helps in confirming longer-term trends.
Support and Resistance Zones:
Resistance Zone (Red): Area where potential selling pressure could overcome buying pressure, halting price increases temporarily or reversing them.
Support Zone (Green): Area where potential buying pressure could overcome selling pressure, supporting prices and preventing them from falling further.
Candlestick Patterns:
Bullish Engulfing Pattern (Green Triangle Up 'BE'): Suggests a potential upward reversal or start of a bullish trend.
Bearish Engulfing Pattern (Red Triangle Down 'BE'): Indicates a potential downward reversal or start of a bearish trend.
Buy/Sell Signals:
Buy Signal (Green Label 'BUY'): Triggered when the price is above both EMAs and a bullish engulfing pattern is detected.
Sell Signal (Red Label 'SELL'): Triggered when the price is below both EMAs and a bearish engulfing pattern is detected.
Trading Setup:
Entry: Consider entering a buy position when the 'BUY' signal appears, indicating bullish conditions. Enter a sell position when the 'SELL' signal appears, indicating bearish conditions.
Exit: Look for closing signals opposite your entry or use predefined take profit and stop loss levels. For instance, exit a buy position on a 'SELL' signal or when the price drops below the support zone.
Risk Management:
Set stop losses just below the support zone for buy orders and above the resistance zone for sell orders to protect against significant losses.
Adjust position sizes according to your risk tolerance and account balance.
Considerations:
Use this indicator in conjunction with other analysis tools and fundamental data to confirm signals and strengthen your trading strategy.
Periodically backtest the strategy based on this indicator to ensure its effectiveness in current market conditions.
Optimization:
Adjust the lengths of the EMAs and the buffer size of the support and resistance zones to better fit the asset's volatility and your trading timeframe.
OBV 1min Volume SqueezeIn the vast realm of trading strategies, few terms evoke as much intrigue as the word "squeeze." It conjures images of pent-up energy, ready to burst forth in a sudden and decisive move. In this blog post, we'll delve into a new trading idea titled the "OBV 1-Minute Volume Squeeze" which aims to catch bigger market movements by fetching 1 minute OBV data on higher time charts.
The Essence of Squeeze
In trading parlance, a "squeeze" typically denotes a scenario where volatility contracts, and prices consolidate within a narrow range. Translating this concept to volume dynamics, a "volume squeeze" suggests a period of compressed volume activity. It is unclear if the Bulls or the Bears are at winning hand and price is thus consolidating. The script calculates buying and selling pressure by fetching 1 min data. The total volume presure is the sum of absolute values of the buying and selling pressure added up. By deviding the Buying volume by the total volume we know the Buying Pressure.
The trading theory suggest that when the buying pressure exceeds a certain value eg. 50% (default value in the script is 55%) it is likely the trend will continue to go up for a longer period of time. Vice Versa when selling pressure is higher, the trend is likely to continue down. In the script you can adjust the sensitivity in such way a higher "Volume Pressure %" result in less trading signals.
Fetching 1 min data
The OBV is a wonderful indicator to measure the buying and selling pressure. A disadvantage of the script is that the total volume pressure is presented as a positive (buying) or negative value (selling) value in the Oscillator. It does not offset the Bulls power against the Bears power at given time. The script aims to do measure the directional volume power by defining a volume pressure % (oulier value) by fetching 1 min OBV data on higher time frame charts comparing the Bulls power against the Bears Power. The code is included below:
// Fetch Lower Timeframe Data in an array
// nV = ZeroValue, sV = Selling Volume, bV = Buying Volume, tV = Total Volume
= request.security_lower_tf(syminfo.tickerid, '1', )
sum_bV_Lengthbars = array.sum(bV)
sum_sV_Lengthbars = array.sum(sV)
sum_tV_Lengthbars = sum_bV_Lengthbars + sum_sV_Lengthbars // Combine buying and selling volumes to get total volume
// Calculate buying and selling volume as percentage of the total volume, but ensure the denominator isn't zero.
buying_percentage = sum_tV_Lengthbars != 0 ? sum_bV_Lengthbars / sum_tV_Lengthbars * 100 : na
selling_percentage = sum_tV_Lengthbars != 0 ? -(sum_sV_Lengthbars / sum_tV_Lengthbars * 100) : na
OBV Oscillator Explanation
The On Balance Volume (OBV) indicator is a technical analysis tool used to measure buying and selling pressure in the market. It does this by keeping a running total of volume flows. OBV is typically calculated by adding the volume on a candle when the price closes higher than the previous candle's close and subtracting the volume on candles when the price closes lower than the previous candles close. If the price closes unchanged from the previous candle, the volume is not added to or subtracted from the OBV. The OBV can be presented as an oscillator. Positve value is the buying pressure and negative values is the selling pressure. In the settings the OBV is calculated based on 1 min data and comes with the following input options for visualization on the chart:
Higher Time Frame Settings (make sure the HTF is higher than the chart you have open)
Type of MA being: EMA, DEMA, TEMA, SMA, WMA, HMA, McGinley
Volume Pressure % (outlier value)
Length of number of bars (of the choosen HTF settings)
Smoothing of number candles of hte opened timechart. Note that higher number of bars to smoothen the indicator results in less signals, but lag of the indicator increases.
The Oscilator contains 3 main lines which are used to determin the entry signals:
Orange Line = the Outlier value in settings described as "Volume Pressure %"
Green Line = Total Buying Pressure OBV
Red Line = Total Selling Pressure OBV
If the Green or Red line is in between the zero line and the orange line the volume is squeezed and waiting for a directional break out.
If the Green line crosses over the orange line the buying pressure is > 55% and triggers a long entry position (green dot). If the Red line crosses under the orange line the selling pressure is > 55% and triggers an short entry (red dot). In the strategy settings this option is called: "Wait for total volume to increase?".
Alternative Strategy Options
In order to play around with different settings users can opt for two more strategy entry settings, called:
"Wait for total volume to deacrease?" --> Only gives a signal when total volume is declining, but buying or selling pressure maintains and crosses % threshold.
"Wait for Pull Back?" --> After a pullback occured and opposite buy/sell pressure gets lower than threshold (direction is shifting)
Turning on all options will logically result into more signals. Note these strategy ideas are experimental and can best be used in confirmation with other indicators.
Moving Average Filter (HTF)
The Oscillator has a horizontal line at the bottom. The line is green when the moving average is in a uptrend and red when the moving average is in a downtrend. The MA Filter comes with the following settings:
Higher Time Frame Setting
Type of MA being: EMA, DEMA, TEMA, SMA, WMA, HMA, McGinley
Length of number of bars (of the choosen HTF settings)
At last I hope you like this volume trading idea and if you have any comments let me know!
VWAP RangeThe VWAP Range indicator is a highly versatile and innovative tool designed with trading signals for trading the supply and demand within consolidation ranges.
What's a VWAP?
A VWAP (Volume Weighted Average Price) represents an equilibrium point in the market, balancing supply and demand over a specified period. Unlike simple moving averages, VWAP gives more weight to periods with higher volume. This is crucial because large volumes indicate significant trading activity, often by institutional traders, whose actions can reflect deeper market insights or create substantial market movements. The VWAP is also often used as a benchmark to evaluate the efficiency of executed trades. If a trader buys below the VWAP and sells above it, they are generally considered to have transacted favourably.
This is how it works:
Multiple VWAP Anchors:
This indicator uses multiple VWAPs anchored to different optional time periods, such as Daily, Weekly, Monthly, as well as to the highest high a lowest low within those periods. This multiplicity allows for a comprehensive view of the market’s average price based on volume and price, tailored to different trading styles and strategies.
Dynamic and Fixed Periods:
Traders can choose between using dynamic ranges, which reset at the start of each selected period, and specifying a date and time for a particular fixed range to trade. This flexibility is crucial for analyzing price movements within specific ranges or market phases.
Fixed ranges allow VWAPs to be calculated and anchored to a significant market event, the beginning of a consolidation phase or after a major news announcement.
Signal Generation:
The indicator generates buy and sell signals based on the relationship of the price to the VWAPs. It also allows for setting a maximum number of signals in one direction to avoid overtrading or pyramiding. Be sure to wait for the candle close before trading on the signals.
Average Buy/Sell Signal Lines:
Lines can be plotted to display the average buy and sell signal prices. The difference between the lines shows the average profit per trade when trading on the signals in that range. It's a good way to see how profitable a range is on average without backtesting the signals. The lines will also often turn into support and resistance areas, similar to value areas in a volume profile.
Customizable Settings:
Traders have control over various settings, such as the VWAP calculation method and bar color. There are also tooltips for every function.
Hidden Feature:
There's a subtle feature in this indicator: if you have 'Indicator values' turned on in TradingView, you'll see a Sell/Buy Ratio displayed only in the status line. This ratio indicates whether there are more sell signals than buy signals in a range, regardless of the Max Signals setting. A red value above 1 suggests that the market is trending upward, indicating you might want to hold your long positions a bit longer. Conversely, a green value below 1 implies a downward trend.
G Channel with Arrows
1. Channel Calculation:
- The indicator calculates an upper channel ( `UpperBuffer` ) and a lower channel ( `LowerBuffer `) based on the input parameters `ChannelPeriod` .
- The channels are determined by a dynamic calculation that considers the current price ( `src` ) and the previous values of the upper and lower channels (` aBuffer` and `bBuffer` ).
2. Middle Channel:
- The middle channel ( `MiddleBuffer` ) is the average of the upper and lower channels, providing a central reference line.
3. Exponential Moving Average (EMA):
- The script calculates an Exponential Moving Average (`EMAValue`) based on the closing prices with a specified period (`EMAPeriod`).
4. Channel Plots:
- Plots for the upper, lower, and middle channels are displayed on the chart, each with a distinctive color and style.
5. Fill Between Channels:
- The space between the upper and middle channels is filled with a blue color (`#1900ff`), and the space between the lower and middle channels is filled with a red color (`#f70a0a`).
6. EMA Line:
- The EMA line is plotted on the chart in green.
7. Buy and Sell Signals:
- Buy signals ( `buySignal` ) are generated when the EMA crosses above the middle channel.
- Sell signals ( `sellSignal` ) are generated when the EMA crosses below the middle channel.
- Arrows are plotted at the respective locations of buy and sell signals.
8. Breakout Arrows:
- Additional arrows are plotted when the closing price breaks out above the upper channel (green arrow) or below the lower channel (red arrow).
9. User Input Parameters:
- Traders can customize the input parameters such as `ChannelPeriod` and `EMAPeriod` to adjust the sensitivity of the channels and the EMA.
Overall, the indicator provides traders with a visual representation of price channels, an EMA trend reference, and signals for potential buy/sell opportunities and breakout points. It can be used as part of a trading strategy to identify trends, reversals, and potential entry/exit points in the market.
