Dynamic Autocorrelation Visualizer (YavuzAkbay)The Dynamic Autocorrelation Visualizer (DAV) is a specialized indicator that analyzes and displays the autocorrelation of closing prices over multiple time lags. The autocorrelation function is a well-established economic calculation that measures how past price movements correlate with current prices at various intervals. This indicator implements this function to provide traders with insights into how these correlations evolve over time, enabling them to identify shifts in market behavior and trends.
Key Features and Functionality
1. Input Parameters:
Max Lag: This parameter determines the maximum number of lags for which the autocorrelation will be calculated. By default, it is set to 10, allowing traders to observe the correlation from the most recent price up to 10 periods back.
Calculation Period: The period over which the autocorrelation is calculated, set by default to 50. This setting allows users to adapt the analysis to different time frames depending on their trading strategies.
2. Autocorrelation Calculation:
The DAV calculates the average closing price over the specified period using the Simple Moving Average (SMA). This average serves as a reference point for measuring deviations in price behavior.
It then computes the denominator for the autocorrelation formula, which is the sum of the squared differences between each closing price and the average price. This normalization ensures that the autocorrelation values are meaningful and statistically valid.
For each specified lag (from 0 to max_lag - 1), the indicator calculates the numerator by summing the product of deviations from the mean for both the current and lagged prices. The autocorrelation value for each lag is then derived by dividing the numerator by the denominator, producing a set of autocorrelation values that reflect the strength and direction of price relationships over time.
3. Visualization:
The results for each lag's autocorrelation are plotted as individual lines on the chart, each differentiated by color to represent different lag periods.
A zero line is drawn as a reference, helping traders easily identify when autocorrelation values cross from positive to negative or vice versa.
The color gradient from the brightest blue (for lag 1) to darker shades indicates the relative strength of the autocorrelation for each lag, providing an immediate visual cue for analysis.
Indicator is Useful for
Seeing how correlation patterns evolve
Identifying periods where the market changes its behavior
Spotting when certain lag patterns become more or less significant
How to Use the DAV Indicator
Before using the indicator, it should be backtested on the chart and the mechanics should be learned. In general, if all lags of the indicator are above 0, it means that the trend is continuing. When the lags start to fall below 0 one by one, it means a trend reversal or instability. The indicator is in a sense a 90 degree freeze trace of the Autocorrelation indicator that I have also integrated into Tradingview (available in my profile), so it may be more understandable if used in conjunction with this indicator.
Индикаторы и стратегии
Previous Day High/Low ±0.5%The simple script was written for the educational purposes, to check if the simple system can help to hedge your strategic portfolio. Mainly works with Indexes (tested on IRUS). You can optimize strategy by changing the % in the pine code. Working mainly on D timeframe.
Current script gives you the lines on the graph, you should check if the current day close price is above the high line - buy, if below - close your buy, or reverce your position to sell, if you go in short.
XRP Comparative Price Action Indicator - Final VersionXRP Comparative Price Action Indicator - Final Version
The XRP Comparative Price Action Indicator provides a comprehensive visual analysis of XRP’s price movements relative to key cryptocurrencies and market indices. This indicator normalises price data across various assets, allowing traders and investors to assess XRP’s performance against its peers and major market influences at a glance.
Key Features:
• Normalised Price Data: Prices are scaled between 0.00 and 1.00,
enabling straightforward comparisons between different assets.
• Key Comparisons: Includes normalised prices for:
• XRP/USD (Bitstamp)
• XRP Dominance (CryptoCap)
• XRP/BTC (Bitstamp)
• BTC/USD (Bitstamp)
• BTC Dominance (CryptoCap)
• USDT Dominance (CryptoCap)
• S&P 500 (SPY)
• DXY (Dollar Index)
• ETH/USD (Bitstamp)
• ETH Dominance (CryptoCap)
• XRP/ETH (Binance)
• Visual Clarity: Each asset is plotted with distinct colors for easy identification,
with thicker lines enhancing visibility on the chart.
• Reference Lines: Optional horizontal lines indicate the minimum (0) and maximum (1) normalised values, providing clear reference points for analysis.
This indicator is ideal for traders looking to understand XRP’s relative performance, gauge market sentiment, and make informed trading decisions based on comparative price action.
Autocorrelogram (YavuzAkbay)The Autocorrelogram (ACF) is a statistical tool designed for traders and analysts to evaluate the autocorrelation of price movements over time. Autocorrelation measures the correlation of a signal with a delayed version of itself, providing insights into the degree to which past price movements influence future price movements. This indicator is particularly useful for identifying trends and patterns in time series data, helping traders make informed decisions based on historical price behavior.
Key Components and Functionality
1. Input Parameters:
Sample Size: This parameter defines the number of data points used in the calculation of the autocorrelation function. A minimum value of 9 ensures statistical relevance. The default value is set to 100, which provides a broad view of the price behavior.
Data Source: Users can select the price data they wish to analyze (e.g., closing prices). This flexibility allows traders to apply the ACF to various price types, depending on their trading strategy.
Significance Level: This parameter determines the threshold for statistical significance in the autocorrelation values. The default value is set at 1.96, corresponding to a 95% confidence level, but users can adjust it to their preferences.
Calculate Change: This boolean option allows users to choose whether to calculate the change in the selected data source (e.g., daily price changes) rather than using the raw data. Analyzing changes can highlight momentum shifts that may be obscured in absolute price levels.
2. Core Calculations:
Simple Moving Average (SMA): The indicator computes the SMA of the selected data source over the defined sample size. This average serves as a baseline for assessing deviations in price behavior.
Variance Calculation: The variance of the price changes is calculated to understand the spread of the data. The variance is scaled by the sample size to ensure that the autocorrelation values are appropriately normalized.
Lag Value: The indicator calculates a lag value based on the sample size to determine how many periods back the autocorrelation will be calculated. This helps in assessing correlations at different time intervals.
3. Autocorrelation Calculation:
The script calculates the autocorrelation for lags ranging from 0 to 53. For each lag, it computes the autocovariance (the correlation of the signal with itself at different time intervals) and normalizes this by the variance. The result is a set of autocorrelation values that indicate the strength and direction of the relationship between current and past price movements.
4. Visualization:
The autocorrelation values are plotted as lines on the chart, with different colors indicating positive and negative correlations. Lines are dynamically drawn for each lag, providing a visual representation of how past prices influence current prices. A maximum of 54 lines (for lags 0 to 53) is maintained, with the oldest line being removed when the limit is exceeded.
Significance Levels: Horizontal lines are drawn at the defined significance levels, helping traders quickly identify when the autocorrelation values exceed the statistically significant threshold. These lines serve as benchmarks for interpreting the relevance of the autocorrelation values.
How to Use the ACF Indicator
Identifying Trends: Traders can use the ACF indicator to spot trends in the data. Strong positive autocorrelation at a given lag indicates that past price movements have a lasting influence on future movements, suggesting a potential continuation of the current trend. Conversely, significant negative autocorrelation may indicate reversals or mean reversion.
Decision Making: By comparing the autocorrelation values against the significance levels, traders can make informed decisions. For example, if the autocorrelation at lag 1 is significantly positive, it may suggest that a trend is likely to persist in the immediate future, prompting traders to consider long positions.
Setting Parameters: Adjusting the sample size and significance level allows traders to tailor the indicator to their specific market conditions and trading style. A larger sample size may provide more stable estimates but could obscure short-term fluctuations, while a smaller size may capture quick changes but with higher variability.
Combining with Other Indicators: The ACF can be used in conjunction with other technical indicators (like Moving Averages or RSI) to enhance trading strategies. Confirming signals from multiple indicators can provide stronger trade confirmations.
Range Detect SystemTechnical analysis indicator designed to identify potential significant price ranges and the distribution of volume within those ranges. The system helps traders calculate POC and show volume history. Also detecting breakouts or potential reversals. System identifies ranges with a high probability of price consolidation and helps screen out extreme price moves or ranges that do not meet certain volatility thresholds.
⭕️ Key Features
Range Detection — identifies price ranges where consolidation is occurring.
Volume Profile Calculation — indicator calculates the Point of Control (POC) based on volume distribution within the identified range, enhancing the analysis of market structure.
Volume History — shows where the largest volume was traded from the center of the range. If the volume is greater in the upper part of the range, the color will be green. If the volume is greater in the lower part, the color will be red.
Range Filtering — Includes multi-level filtering options to avoid ranges that are too volatile or outside normal ranges.
Visual Customization — Shows graphical indicators for potential bullish or bearish crossovers at the upper and lower range boundaries. Users can choose the style and color of the lines, making it easier to visualize ranges and important levels on the chart.
Alerts — system will notify you when a range has been created and also when the price leaves the range.
⭕️ How it works
Extremes (Pivot Points) are taken as a basis, after confirming the relevance of the extremes we take the upper and lower extremes and form a range. We check if it does not violate a number of rules and filters, perform volume calculations, and only then is the range displayed.
Pivot points is a built-in feature that shows an extremum if it has not been updated N bars to the left and N bars to the right. Therefore, there is a delay depending on the bars specified to check, which allows for a more accurate range. This approach allows not to make unnecessary recalculations, which completely eliminates the possibility of redrawing or range changes.
⭕️ Settings
Left Bars and Right Bars — Allows you to define the point that is the highest among the specified number of bars to the left and right of this point.
Range Logic — Select from which point to draw the range. Maximums only, Minimums only or both.
Use Wick — Option to consider the wick of the candles when identifying Range.
Breakout Confirmation — The number of bars required to confirm a breakout, after which the range will close.
Minimum Range Length — Sets the minimum number of candles needed for a range to be considered valid.
Row Size — Number of levels to calculate POC. *Larger values increase the script load.
% Range Filter — Dont Show Range is than more N% of Average Range.
Multi Filter — Allows use of Bollinger Bands, ATR, SMA, or Highest-Lowest range channels for filtering ranges based on volatility.
Range Hit — Shows graphical labels when price hits the upper or lower boundaries of the range, signaling potential reversal or breakout points.
Range Start — Show points where Range was created.
Gradient color Candlesthis is a simple candle colouring script that sets the colour of the candles to a gradient and the length of the gradient can be set by a user defined number of bars
Trade 1 + StatergyThe Relative Strength Index (RSI) is a momentum oscillator used in technical analysis that measures the speed and change of price movements of a security within a range of 0 to 100. It is most commonly set to a 14-period timeframe and helps traders identify overbought or oversold conditions, suggesting potential reversal points in the market. Divergence occurs when the price trend and the RSI trend move in opposite directions. A bullish divergence signals potential upward movement when prices are making new lows while the RSI makes higher lows. Conversely, a bearish divergence suggests a possible downward trend when prices are making new highs but the RSI is making lower highs. These signals are crucial for traders looking to capture shifts in momentum and adjust their trading strategies accordingly.
use full to
5 min
10 min
15 min decition
SecretSauceByVipzOverview:
SecretSauceByVipz is a sophisticated trading indicator designed to help traders identify high-probability buy and sell signals by integrating multiple technical analysis tools. By combining Exponential Moving Averages (EMAs), Average True Range (ATR) buffer zones, Volume Weighted Average Price (VWAP), and Relative Strength Index (RSI) momentum confirmation, this indicator aims to reduce false signals and enhance trading decisions.
Key Features:
Exponential Moving Averages (EMAs):
200-period EMA (Long EMA): Serves as a long-term trend indicator.
8-period EMA (Fast EMA): Captures short-term price movements.
21-period EMA (Slow EMA): Reflects medium-term price trends.
EMA Crossovers: Generates initial buy/sell signals when the fast EMA crosses over or under the slow EMA.
ATR-Based Buffer Zones:
ATR Calculation: Utilizes a 14-period ATR to measure market volatility.
Buffer Zone Multiplier: User-adjustable multiplier (default 1.0) applied to the ATR to create dynamic buffer zones around the 200 EMA.
Buffer Zones: Helps filter out false signals by requiring price to move beyond these zones for certain signals.
Volume Weighted Average Price (VWAP):
VWAP Plotting: Provides an average price weighted by volume, useful for identifying fair value areas and potential support/resistance levels.
Signal Confirmation Logic:
Confirmation Candle: Requires the next candle after a crossover to close in the signal's direction for added reliability.
Early Signals: Triggers when price crosses the 200 EMA and moves beyond the buffer zone, indicating potential early trend changes.
Strong Signals: Occur when both the price crosses the fast EMA and the fast EMA crosses the slow EMA simultaneously.
RSI Momentum Confirmation:
RSI Calculation: Uses a 14-period RSI to gauge market momentum.
Momentum Filter: Confirms signals only when RSI aligns with the trend (above 50 for bullish, below 50 for bearish signals).
Visual Aids:
EMA and VWAP Plots: Overlays the EMAs and VWAP directly on the price chart for easy visualization.
Buffer Zone Lines: Plots the upper and lower buffer zones around the 200 EMA.
Signal Labels:
Buy Signals: Displayed as green "BUY" labels below the bars.
Sell Signals: Displayed as red "SELL" labels above the bars.
How to Use:
Trend Identification:
Use the 200 EMA to determine the overall market trend.
Price above the 200 EMA suggests a bullish trend; below indicates a bearish trend.
Signal Generation:
Confirmed Signals: Wait for the confirmation candle after an EMA crossover before considering entry.
Early Signals: Consider early entries when price crosses the 200 EMA and moves beyond the buffer zone.
Strong Signals: Pay attention to strong signals where both price and EMAs are crossing over, indicating robust trend momentum.
Momentum Confirmation:
Ensure the RSI aligns with the signal direction:
Buy Signals: RSI should be above 50.
Sell Signals: RSI should be below 50.
Adjusting Sensitivity:
Modify the ATR Multiplier and Buffer Multiplier to suit different market conditions and personal trading styles.
A higher multiplier may reduce signal frequency but increase reliability.
Customization Parameters:
ATR Multiplier for Distance Filter (Default: 1.5):
Adjusts the sensitivity of the distance filter based on ATR.
Buffer Multiplier for 200 EMA (Default: 1.0):
Alters the width of the buffer zones around the 200 EMA.
Benefits:
Reduces False Signals: The combination of confirmation candles and buffer zones helps filter out noise.
Enhances Trend Detection: Multiple EMA crossovers provide insights into short-term and medium-term trends.
Incorporates Volatility and Momentum: ATR and RSI ensure signals consider market volatility and momentum.
Disclaimer:
This indicator is a tool to assist in technical analysis and should not be used as the sole basis for trading decisions. Always conduct thorough analysis and consider risk management strategies before executing trades. Past performance is not indicative of future results.
Credits:
Developed by Vipink1203.
Version:
Pine Script Version 5
The Most Powerful TQQQ EMA Crossover Trend Trading StrategyTQQQ EMA Crossover Strategy Indicator
Meta Title: TQQQ EMA Crossover Strategy - Enhance Your Trading with Effective Signals
Meta Description: Discover the TQQQ EMA Crossover Strategy, designed to optimize trading decisions with fast and slow EMA crossovers. Learn how to effectively use this powerful indicator for better trading results.
Key Features
The TQQQ EMA Crossover Strategy is a powerful trading tool that utilizes Exponential Moving Averages (EMAs) to identify potential entry and exit points in the market. Key features of this indicator include:
**Fast and Slow EMAs:** The strategy incorporates two EMAs, allowing traders to capture short-term trends while filtering out market noise.
**Entry and Exit Signals:** Automated signals for entering and exiting trades based on EMA crossovers, enhancing decision-making efficiency.
**Customizable Parameters:** Users can adjust the lengths of the EMAs, as well as take profit and stop loss multipliers, tailoring the strategy to their trading style.
**Visual Indicators:** Clear visual plots of the EMAs and exit points on the chart for easy interpretation.
How It Works
The TQQQ EMA Crossover Strategy operates by calculating two EMAs: a fast EMA (default length of 20) and a slow EMA (default length of 50). The core concept is based on the crossover of these two moving averages:
- When the fast EMA crosses above the slow EMA, it generates a *buy signal*, indicating a potential upward trend.
- Conversely, when the fast EMA crosses below the slow EMA, it produces a *sell signal*, suggesting a potential downward trend.
This method allows traders to capitalize on momentum shifts in the market, providing timely signals for trade execution.
Trading Ideas and Insights
Traders can leverage the TQQQ EMA Crossover Strategy in various market conditions. Here are some insights:
**Scalping Opportunities:** The strategy is particularly effective for scalping in volatile markets, allowing traders to make quick profits on small price movements.
**Swing Trading:** Longer-term traders can use this strategy to identify significant trend reversals and capitalize on larger price swings.
**Risk Management:** By incorporating customizable stop loss and take profit levels, traders can manage their risk effectively while maximizing potential returns.
How Multiple Indicators Work Together
While this strategy primarily relies on EMAs, it can be enhanced by integrating additional indicators such as:
- **Relative Strength Index (RSI):** To confirm overbought or oversold conditions before entering trades.
- **Volume Indicators:** To validate breakout signals, ensuring that price movements are supported by sufficient trading volume.
Combining these indicators provides a more comprehensive view of market dynamics, increasing the reliability of trade signals generated by the EMA crossover.
Unique Aspects
What sets this indicator apart is its simplicity combined with effectiveness. The reliance on EMAs allows for smoother signals compared to traditional moving averages, reducing false signals often associated with choppy price action. Additionally, the ability to customize parameters ensures that traders can adapt the strategy to fit their unique trading styles and risk tolerance.
How to Use
To effectively utilize the TQQQ EMA Crossover Strategy:
1. **Add the Indicator:** Load the script onto your TradingView chart.
2. **Set Parameters:** Adjust the fast and slow EMA lengths according to your trading preferences.
3. **Monitor Signals:** Watch for crossover points; enter trades based on buy/sell signals generated by the indicator.
4. **Implement Risk Management:** Set your stop loss and take profit levels using the provided multipliers.
Regularly review your trading performance and adjust parameters as necessary to optimize results.
Customization
The TQQQ EMA Crossover Strategy allows for extensive customization:
- **EMA Lengths:** Change the default lengths of both fast and slow EMAs to suit different time frames or market conditions.
- **Take Profit/Stop Loss Multipliers:** Adjust these values to align with your risk management strategy. For instance, increasing the take profit multiplier may yield larger gains but could also increase exposure to market fluctuations.
This flexibility makes it suitable for various trading styles, from aggressive scalpers to conservative swing traders.
Conclusion
The TQQQ EMA Crossover Strategy is an effective tool for traders seeking an edge in their trading endeavors. By utilizing fast and slow EMAs, this indicator provides clear entry and exit signals while allowing for customization to fit individual trading strategies. Whether you are a scalper looking for quick profits or a swing trader aiming for larger moves, this indicator offers valuable insights into market trends.
Incorporate it into your TradingView toolkit today and elevate your trading performance!
SW Gann Pressure time from tops and bottomsW.D. Gann's trading techniques often emphasized the significance of time in the markets, believing that specific time intervals could influence price movements. Here’s how the 30, 60, 90, 120, 180, and 270 bar intervals relate to Gann's rules:
1. **30 Bars**:
- Gann often viewed shorter time frames as critical for identifying short-term trends. A 30-bar interval can signify minor cycles or potential turning points in price.
2. **60 Bars**:
- This interval is significant as Gann believed in the importance of quarterly cycles. A 60-bar mark could indicate a completion of a two-month cycle, often leading to retracements or reversals.
3. **90 Bars**:
- Gann considered 90 days (or bars) to represent a quarter. This interval can signify a substantial shift in market sentiment or a pivotal point in a longer trend.
4. **120 Bars**:
- The 120-bar mark corresponds to about four months. Gann viewed longer intervals as more significant, often leading to major shifts in market trends.
5. **180 Bars**:
- A 180-bar period relates to a semi-annual cycle, which Gann regarded as critical for major support and resistance levels. Price action around this interval can reveal potential long-term trend reversals.
6. **270 Bars**:
- Gann believed that longer cycles, such as 270 bars (approximately nine months), could indicate significant market phases. This interval may represent major turning points and help identify long-term trends.
### Application in Trading:
- **Identifying Trends**: Traders can use these intervals to spot potential trend reversals or continuations based on Gann’s principles of market cycles.
- **Setting Targets and Stops**: Knowing where these key bars fall can help in setting profit targets and stop-loss orders.
- **Analyzing Market Sentiment**: Price reactions at these intervals can provide insights into market psychology and sentiment shifts.
By marking these intervals on a chart, traders can visually assess when price action aligns with Gann's theories, helping them make more informed trading decisions based on historical patterns and cycles.
SW Gann DaysGann pressure days, named after the famous trader W.D. Gann, refer to specific days in a trading month that are believed to have significant market influence. These days are identified based on Gann's theories of astrology, geometry, and market cycles. Here’s a general outline of how they might be understood:
1. **Market Cycles**: Gann believed that markets move in cycles and that certain days can have heightened volatility or trend changes. Traders look for specific dates based on historical price movements.
2. **Timing Indicators**: Pressure days often align with key economic reports, earnings announcements, or geopolitical events that can cause price swings.
3. **Mathematical Patterns**: Gann used angles and geometric patterns to predict price movements, with pressure days potentially aligning with these calculations.
4. **Historical Patterns**: Traders analyze past data to identify dates that historically show strong price reactions, using this to predict future behavior.
5. **Astrological Influences**: Some practitioners incorporate astrological elements, believing that celestial events (like full moons or planetary alignments) can impact market psychology.
Traders might use these concepts to make decisions about entering or exiting positions, but it’s important to note that Gann's methods can be complex and are not universally accepted in trading communities.
Bullish B's - RSI Divergence StrategyThis indicator strategy is an RSI (Relative Strength Index) divergence trading tool designed to identify high-probability entry and exit points based on trend shifts. It utilizes both regular and hidden RSI divergence patterns to spot potential reversals, with signals for both bullish and bearish conditions.
Key Features
Divergence Detection:
Bullish Divergence: Signals when RSI indicates momentum strengthening at a lower price level, suggesting a reversal to the upside.
Bearish Divergence: Signals when RSI shows weakening momentum at a higher price level, indicating a potential downside reversal.
Hidden Divergences: Looks for hidden bullish and bearish divergences, which signal trend continuation points where price action aligns with the prevailing trend.
Volume-Adjusted Entry Signals:
The strategy enters long trades when RSI shows bullish or hidden bullish divergence, indicating an upward momentum shift.
An optional volume filter ensures that only high-volume, high-conviction trades trigger a signal.
Exit Signals:
Exits long positions when RSI reaches a customizable overbought level, typically indicating a potential reversal or profit-taking opportunity.
Also closes positions if bearish divergence signals appear after a bullish setup, providing protection against trend reversals.
Trailing Stop-Loss:
Uses a trailing stop mechanism based on ATR (Average True Range) or a percentage threshold to lock in profits as the price moves in favor of the trade.
Alerts and Custom Notifications:
Integrated with TradingView alerts to notify the user when entry and exit conditions are met, supporting timely decision-making without constant monitoring.
Customizable Parameters:
Users can adjust the RSI period, pivot lookback range, overbought level, trailing stop type (ATR or percentage), and divergence range to fit their trading style.
Ideal Usage
This strategy is well-suited for trend traders and swing traders looking to capture reversals and trend continuations on medium to long timeframes. The divergence signals, paired with trailing stops and volume validation, make it adaptable for multiple asset classes, including stocks, forex, and crypto.
Summary
With its focus on RSI divergence, trailing stop-loss management, and volume filtering, this strategy aims to identify and capture trend changes with minimized risk. This allows traders to efficiently capture profitable moves and manage open positions with precision.
This Strategy BEST works with GLD!
Forex Relative Strength MatrixTraders often feel uncertain about which Forex pair to open a position with. This indicator is designed to help in that regard.
This indicator was created as described in the book Swing Trading with Heiken Ashi and Stochastics. In the original, the author suggests using it for swing trading. The author recommends applying it to a monthly chart with an 8-period moving average to analyze the context.
The logic of the indicator is to measure the relative strength of each currency by checking if the price of each Forex pair is above or below a chosen moving average. If the price is above the moving average, the base currency is awarded 1 point, indicating strength. If below, it scores 0, indicating weakness. By accumulating points across multiple pairs, the indicator ranks currencies from strongest to weakest, helping traders identify potential pairs for trading.
Trend Identification:
After identifying relative strength, the trader should observe the general trend using a 100-period SMA on 4-hour charts. If the price is above the SMA, the trend is bullish; if below, it is bearish.
Buy Logic:
A buy is triggered when the base currency is strong (price is above the moving average) and the quote currency is weak (price is below the moving average). After identifying the trend direction, the entry is confirmed by a color change in Heiken Ashi candles (from red to green in an uptrend) and a stochastic crossover in the trend’s direction.
Sell Logic:
A sell is triggered when the base currency is weak (price is below the moving average) and the quote currency is strong (price is above the moving average). The sell entry is confirmed by a color change in Heiken Ashi candles (from green to red in a downtrend) and a stochastic crossover aligned with the trend.
Entry Chart:
The entry chart used is the 4-hour chart. The trader should look for entry signals following a pullback in the trend direction, using Heiken Ashi candles. Entry is made when the Heiken Ashi candles change color (from red to green in an uptrend) and there is a smooth crossover of the stochastic indicator in the trend’s direction.
It would also be possible to adapt the indicator for day trading strategies with targets of 1 to 2 days. Here is a recommended setup:
Relative Strength Identification (1-Hour Chart):
Instead of monthly charts, use a 1-hour chart to identify currency strength with a 20-period moving average.
The 20-period moving average on the 1-hour chart captures a balanced view of short- to medium-term direction, covering nearly a day’s worth of trading but with enough sensitivity for day trading.
General Trend (5-Minute Chart with 100 SMA):
On the 5-minute chart, observe the 100-period SMA to identify the general trend direction throughout the day.
Price above the 100 SMA indicates an uptrend, and below indicates a downtrend, confirming the movement in shorter timeframes.
Entry Chart and Signals (5-Minute Chart):
Use the 15-minute chart to look for entry opportunities, focusing on pullbacks in the main trend direction.
Entry Signals: Enter the position when Heiken Ashi candles change color in the trend direction (from red to green in an uptrend) and the stochastic indicator makes a smooth crossover in the trend’s direction.
Hodrick-Prescott Cycle Component (YavuzAkbay)The Hodrick-Prescott Cycle Component indicator in Pine Script™ is an advanced tool that helps traders isolate and analyze the cyclical deviations in asset prices from their underlying trend. This script calculates the cycle component of the price series using the Hodrick-Prescott (HP) filter, allowing traders to observe and interpret the short-term price movements around the long-term trend. By providing two views—Percentage and Price Difference—this indicator gives flexibility in how these cyclical movements are visualized and interpreted.
What This Script Does
This indicator focuses exclusively on the cycle component of the price, which is the deviation of the current price from the long-term trend calculated by the HP filter. This deviation (or "cycle") is what traders analyze for mean-reversion opportunities and overbought/oversold conditions. The script allows users to see this deviation in two ways:
Percentage Difference: Shows the deviation as a percentage of the trend, giving a normalized view of the price’s distance from its trend component.
Price Difference: Shows the deviation in absolute price terms, reflecting how many price units the price is above or below the trend.
How It Works
Trend Component Calculation with the HP Filter: Using the HP filter, the script isolates the trend component of the price. The smoothness of this trend is controlled by the smoothness parameter (λ), which can be adjusted by the user. A higher λ value results in a smoother trend, while a lower λ value makes it more responsive to short-term changes.
Cycle Component Calculation: Percentage Deviation (cycle_pct) calculated as the difference between the current price and the trend, divided by the trend, and then multiplied by 100. This metric shows how far the price deviates from the trend in relative terms. Price Difference (cycle_price) simply the difference between the current price and the trend component, displaying the deviation in absolute price units.
Conditional Plotting: The user can choose to view the cycle component as either a percentage or a price difference by selecting the Display Mode input. The indicator will plot the chosen mode in a separate pane, helping traders focus on the preferred measure of deviation.
How to Use This Indicator
Identify Overbought/Oversold Conditions: When the cycle component deviates significantly from the zero line (shown with a dashed horizontal line), it may indicate overbought or oversold conditions. For instance, a high positive cycle component suggests the price may be overbought relative to the trend, while a large negative cycle suggests potential oversold conditions.
Mean-Reversion Strategy: In mean-reverting markets, traders can use this indicator to spot potential reversal points. For example, if the cycle component shows an extreme deviation from zero, it could signal that the price is likely to revert to the trend. This can help traders with entry and exit points when the asset is expected to correct back toward its trend.
Trend Strength and Cycle Analysis: By comparing the magnitude and duration of deviations, traders can gauge the strength of cycles and assess if a new trend might be forming. If the cycle component remains consistently positive or negative, it may indicate a persistent market bias, even as prices fluctuate around the trend.
Percentage vs. Price Difference Views: Use the Percentage Difference mode to standardize deviations and compare across assets or different timeframes. This is especially helpful when analyzing assets with varying price levels. Use the Price Difference mode when an absolute deviation (price units) is more intuitive for spotting overbought/oversold levels based on the asset’s actual price.
Using with Hodrick-Prescott: You can also use Hodrick-Prescott, another indicator that I have adapted to the Tradingview platform, to see the trend on the chart, and you can also use this indicator to see how far the price is deviating from the trend. This gives you a multifaceted perspective on your trades.
Practical Tips for Traders
Set the Smoothness Parameter (λ): Adjust the λ parameter to match your trading timeframe and asset characteristics. Lower values make the trend more sensitive, which might suit short-term trading, while higher values smooth out the trend for long-term analysis.
Cycle Component as Confirmation: Combine this indicator with other momentum or trend indicators for confirmation of overbought/oversold signals. For example, use the cycle component with RSI or MACD to validate the likelihood of mean-reversion.
Observe Divergences: Divergences between price movements and the cycle component can indicate potential reversals. If the price hits a new high, but the cycle component shows a smaller deviation than previous highs, it could signal a weakening trend.
DMI Delta by 0xjcfOverview
This indicator integrates the Directional Movement Index (DMI), Average Directional Index (ADX), and volume analysis into an Oscillator designed to help traders identify divergence-based trading signals. Unlike typical volume or momentum indicators, this combination provides insight into directional momentum and volume intensity, allowing traders to make well-informed decisions based on multiple facets of market behavior.
Purpose and How Components Work Together
By combining DMI and ADX with volume analysis, this indicator helps traders detect when momentum diverges from price action—a common precursor to potential reversals or significant moves. The ADX filter enhances this by distinguishing trending from range-bound conditions, while volume analysis highlights moments of extreme sentiment, such as solid buying or selling. Together, these elements provide traders with a comprehensive view of market strength, directional bias, and volume surges, which help filter out weaker signals.
Key Features
DMI Delta and Oscillator: The DMI indicator measures directional movement by comparing DI+ and DI- values. This difference (DMI Delta) is calculated and displayed as a histogram, visualizing changes in directional bias. When combined with ADX filtering, this histogram helps traders gauge the strength of momentum and spot directional shifts early. For instance, a rising histogram in a bearish price trend might signal a potential bullish reversal.
Volume Analysis with Extremes: Volume is monitored to reveal when market participation is unusually high, using a customizable multiplier to highlight significant volume spikes. These extreme levels are color-coded directly on the histogram, providing visual cues on whether buying or selling interest is particularly strong. Volume analysis adds depth to the directional insights from DMI, allowing traders to differentiate between regular and powerful moves.
ADX Trending Filter: The ADX component filters trends by measuring the overall strength of a price move, with a default threshold of 25. When ADX is above this level, it suggests that the market is trending strongly, making the DMI Delta readings more reliable. Below this threshold, the market is likely range-bound, cautioning traders that signals might not have as much follow-through.
Using the Indicator in Divergence Strategies
This indicator excels in divergence strategies by highlighting moments when price action diverges from directional momentum. Here’s how it aids in decision-making:
Bullish Divergence: If the price is falling to new lows while the DMI Delta histogram rises, it can indicate weakening bearish momentum and signal a potential price reversal to the upside.
Bearish Divergence: Conversely, if prices are climbing but the DMI Delta histogram falls, it may point to waning bullish momentum, suggesting a bearish reversal.
Visual Cues and Customization
The color-coded output enhances usability:
Bright Green/Red: Extreme volume with strong bullish or bearish signals, often at points of high potential for trend continuation or reversal.
Green/Red Shades: These shades reflect trending conditions (bullish or bearish) based on ADX, factoring in volume. Green signals a bullish trend, and red is a bearish trend.
Blue/Orange Shades: Indicates non-trending or weaker conditions, suggesting a more cautious approach in range-bound markets.
Customizable for Diverse Trading Styles
This indicator allows users to adjust settings like the ADX threshold and volume multiplier to optimize performance for various timeframes and strategies. Whether a trader prefers swing trading or intraday scalping, these parameters enable fine-tuning to enhance signal reliability across different market contexts.
Practical Usage Tips
Entry and Exit Signals: Use this indicator in conjunction with price action. Divergences between the price and DMI Delta histogram can reinforce entry or exit decisions.
Adjust Thresholds: Based on backtesting, customize the ADX Trending Threshold and Volume Multiplier to ensure optimal performance on different timeframes or trading styles.
In summary, this indicator is tailored for traders seeking a multi-dimensional approach to market analysis. It blends momentum, trend strength, and volume insights to support divergence-based strategies, helping traders confidently make informed decisions. Remember to validate signals through backtesting and use it alongside price action for the best results.
Fair Value Gap Oscillator | Flux Charts💎 GENERAL OVERVIEW
Introducing the new Fair Value Gap Oscillator (FVG Oscillator) indicator! This unique indicator identifies and tracks Fair Value Gaps (FVGs) in price action, presenting them in an oscillator format to reveal market momentum based on FVG strength. It highlights bullish and bearish FVGs while enabling traders to adjust detection sensitivity and apply volume and ATR-based filters for more precise setups. For more information about the process, check the "📌 HOW DOES IT WORK" section.
Features of the new FVG Oscillator:
Fully Customizable FVG Detection
An Oscillator Approach To FVGs
Divergence Markers For Potential Reversals
Alerts For Divergence Labels
Customizable Styling
📌 HOW DOES IT WORK?
Fair Value Gaps are price gaps within bars that indicate inefficiencies, often filled as the market retraces. The FVG Oscillator scans historical bars to identify these gaps, then filters them based on ATR or volume. Each FVG is marked as bullish or bearish according to the trend direction that preceded its formation.
An oscillator is calculated using recent FVGs with this formula :
1. The Oscillator starts as 0.
2. When a new FVG Appears, it contributes (FVG Width / ATR) to the oscillator of the corresponding type.
3. Each confirmed bar, the oscillator is recalculated as OSC = OSC * (1 - Decay Coefficient)
The oscillator aggregates and decays past FVGs, allowing recent FVG activity to dominate the signal. This approach emphasizes current market momentum, with oscillations moving bullish or bearish based on FVG intensity. Divergences are marked where FVG oscillations suggest potential reversals. Bullish Divergence conditions are as follows :
1. The current candlestick low must be the lowest of last 25 bars.
2. Net Oscillator (Shown in gray line by default) must be > 0.
3. The current Bullish FVG Oscillator value should be no more than 0.1 below the highest value from the last 25 bars.
Traders can use divergence signals to get an idea of potential reversals, and use the Net FVG Oscillator as a trend following marker.
🚩 UNIQUENESS
The Fair Value Gap Oscillator stands out by converting FVG activity into an oscillator format, providing a momentum-based visualization of FVGs that reveals market sentiment dynamically. Unlike traditional indicators that statically mark FVG zones, the oscillator decays older FVGs over time, showing only the most recent, relevant activity. This approach allows for real-time insight into market conditions and potential reversals based on oscillating FVG strength, making it both intuitive and powerful for momentum trading.
Another unique feature is the combination of customizable ATR and volume filters, letting traders adapt the indicator to match their strategy and market type. You can also set-up alerts for bullish & bearish divergences.
⚙️ SETTINGS
1. General Configuration
Decay Coefficient -> The decay coefficient for oscillators. Increasing this setting will result in oscillators giving the weight to recent FVGs, while decreasing it will distribute the weight equally to the past and recent FVGs.
2. Fair Value Gaps
Zone Invalidation -> Select between Wick & Close price for FVG Zone Invalidation.
Zone Filtering -> With "Average Range" selected, algorithm will find FVG zones in comparison with average range of last bars in the chart. With the "Volume Threshold" option, you may select a Volume Threshold % to spot FVGs with a larger total volume than average.
FVG Detection -> With the "Same Type" option, all 3 bars that formed the FVG should be the same type. (Bullish / Bearish). If the "All" option is selected, bar types may vary between Bullish / Bearish.
Detection Sensitivity -> You may select between Low, Normal or High FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
3. Style
Divergence Labels On -> You can switch divergence labels to show up on the chart or the oscillator plot.
Custom Fibonacci StrategyCustom Fibonacci Strategy:
This strategy relies on analyzing Fibonacci levels to identify entry points for trades. It works by identifying peaks and troughs over a specified time period (50 bars in this code). Here are the steps of the strategy:
Identifying Peaks and Troughs:
The highest peak and lowest trough over the last 50 bars are identified.
If the price exceeds the previous peak, it is considered a break of the peak.
If the price falls below the previous trough after breaking the peak, it is considered a break of the trough.
Calculating Fibonacci Levels:
The 50% level (midway point) between the identified peak and trough is calculated.
Buy Signals:
When a trough is broken, and the price trades at or below the 50% level, the risk-to-reward ratio is evaluated.
If the risk-to-reward ratio is greater than or equal to 2, a buy signal is generated.
Displaying Levels:
Horizontal lines are displayed on the chart to illustrate the peak, trough, and Fibonacci level.
Summary
This strategy provides a systematic approach to trading based on Fibonacci retracement levels and price action, allowing traders to make informed decisions about entry points and manage risk effectively.
Ultimate Multi Indicator - by SachaThe Ultimate Multi Indicator: The Ultimate Guide To Profit
This custom indicator, the Ultimate Multi Indicator , integrates multiple trading indicators to have powerful buy and sell signals. I combined MACD, EMA, RSI, Bollinger Bands, Volume Profile, and Ichimoku Cloud indicators to help traders analyze both short-term and long-term price movements.
Key Components and How to Use Them
- MACD (Moving Average Convergence Divergence):
- Use for trend direction and potentiality of reversals.
- The blue line (MACD Line) crossing above the orange line (Signal Line) indicates a bullish reversal; the opposite signals a bearish reversal.
- Watch for crossovers to confirm the direction of smaller price movements.
- 200 EMA (Long) (Exponential Moving Average):
- Use to indicate a long-term trend direction.
- If the price is above the 200 EMA, the market is in an uptrend; below it suggests a downtrend.
- The chart’s background color shifts subtly green (uptrend) or red (downtrend) depending on the EMA's relative position.
- RSI (Relative Strength Index):
- Tracks momentum and overbought/oversold levels.
- RSI over 70 signifies overbought conditions; under 30 indicates oversold.
- Look for RSI turning points around these levels to identify potential reversals.
- Bollinger Bands :
- The price touching or crossing the upper Bollinger Band may mean overbought conditions are filled, while a touch at the lower band indicates oversold.
- Bollinger Band interactions often align with key reversal points, especially when combined with other signals.
- Volume Profile :
- A yellow VP line on the chart represents significant trading volume occurred.
- This line can be used as both a support and resistance level, and especially during consolidations or trend changes.
- Ichimoku Cloud :
- Identifies support/resistance levels and trend direction.
- Green and red cloud regions visually show if the price is above (bullish) or below (bearish) key levels.
- Price above the cloud (green) confirms a bullish market, while below (red) signals bearish.
Signal Conditions and Visualization
- Buy Signals :
- This is triggered right away when MACD crosses up, RSI is oversold, or price touches the lower Bollinger Band, provided price is above both the Ichimoku Cloud and the 200 EMA.
- A green “BUY” label appears below the bar, suggesting a potential entry.
- Sell Signals :
- This signal is generated when MACD crosses down, RSI is overbought, or price touches the upper Bollinger Band, and price is below the Ichimoku Cloud and the 200 EMA.
- A red “SELL” label is shown above the bar, indicating a potential exit.
Tips & Tricks
- Confirm Signals : Use multiple signals to confirm entries and exits. For example, if both the MACD and RSI align with the Ichimoku Cloud direction, the trade setup is stronger.
- Trend Directions : Only take buy signals if the price is above the 200 EMA, and sell signals if it is below, aligning trades with the overall trend.
- Adjust for Volatility : In high-volatility markets, especially in the crypto markets, pay close attention to the Bollinger Bands for breakout potential.
- Ichimoku as a Trend Guide : Use the Ichimoku Cloud as a guide for long-term support and resistance levels, especially for swing trades.
This multi-layered indicator gives a balanced blend of short-term signals and long-term trend insights, making it a versatile tool for day trading, swing trading, or even longer-term analysis.
Remember that indicators that will make you rich instantly don't exist. To expect minimum profit from them, you shouldn't trade all you have at the same time but only trade with the money you can afford to lose.
After that being said, I wish you traders luck with the Ultimate Multi Indicator!
First 1-Minute Candle High/Low After Specific TimeDescription:
This indicator captures and marks the high and low of the first 1-minute candle after a specified time (default: 9:30 AM) and tracks the highs and lows of the first five candles. The levels marked by these initial candles are often critical in determining early session support and resistance, providing a visual guide for traders monitoring price action in the opening minutes of a trading session.
Key Features and Usage
1-Minute Candle High/Low: The indicator captures the high and low of the first 1-minute candle after the specified session start time. This level is marked with horizontal lines and labels, providing traders with an immediate reference for early-session price extremes.
5-Candle Range High/Low: After the first five candles, the indicator also highlights the highest and lowest levels within this range, offering additional support/resistance lines to aid in understanding early price movements.
Custom Labels and Dynamic Line Extension:
Labels update dynamically and display whether the 1-minute high/low coincides with the 5-minute range high/low, combining these labels if they match.
Horizontal lines extend to the current bar to remain visible throughout the session for consistent reference.
Customization Options
Colors and Label Text: Users can adjust colors for the 1-minute and 5-minute high/low lines and the label text for optimal readability.
Label Position Offset: Labels are placed slightly above or below their respective lines to avoid overlap with price action, maintaining clarity on the chart.
Intended Use
This indicator is especially useful for intraday traders focusing on opening range breakout strategies, scalping, or short-term trend analysis. It is intended for use on intraday charts (such as 1-minute or 5-minute intervals) and provides straightforward levels to assess early market structure.
Technical Details
Customization of Start Time: Users can change the default start time to any desired session opening time, adapting it to various markets or trading sessions.
Dynamic Line and Label Updates: Both lines and labels dynamically extend with the chart, while labels remain easy to read as they shift based on recent price action.
This script is designed to be simple yet powerful, offering key insights into session open levels without relying on predictive or lookahead features. It is useful for real-time analysis and adds value by helping traders identify critical levels in the market's early stages.
Engulfing Pattern & Impulse [UAlgo]The Engulfing Pattern & Impulse is a tool designed for technical traders who utilize price action and volume analysis to assess market trends and potential reversals. This indicator identifies two powerful trading signals: Engulfing Patterns and Volume Impulses, which are essential components for evaluating potential bullish or bearish market momentum.
Engulfing Patterns are classic candlestick formations often associated with reversals or trend continuations, depending on the overall trend context. This indicator highlights both bullish and bearish engulfing patterns based on configurable criteria such as trend detection settings, comparison with average body size, and a customizable body multiplier for validation. The Volume Impulse feature signals moments of significant volume compared to historical levels, which often precede substantial price movements. Together, these features provide traders with a versatile tool for better timing entry and exit points.
The indicator also offers an adaptive trend detection system, allowing traders to choose from multiple methods (e.g., SMA50 or SMA50/SMA200 combinations) to assess the trend context, making it ideal for various market conditions.
🔶Key Features
Engulfing Pattern Detection: Identifies bullish and bearish engulfing patterns with customizable parameters, including body length and average size comparison.
Configurable trend basis: Choose between SMA50 or SMA50 with SMA200 to define trend direction.
Body size multiplier: Adjust the size threshold for valid engulfing patterns, providing flexibility based on market conditions.
Volume Impulse Signal: Highlights volume spikes that meet or exceed a specified multiplier, which can indicate increased buying or selling interest.
Customizable volume period and multiplier: Allows you to tailor the volume impulse detection based on the instrument’s average volume behavior.
Trend Detection Options: Select different trend detection methods to suit various trading styles and instruments.
SMA50-based detection: Classifies the trend based on the position of price relative to the 50-period SMA.
SMA50 and SMA200 combination: Incorporates a dual-moving average approach, classifying trends based on the relationship between price, SMA50, and SMA200.
Enhanced Visualization: Distinguishes bullish and bearish signals with customizable colors, providing clear and immediate visual cues for easy interpretation.
Custom label colors: Allows you to set distinct colors for bullish, bearish, and neutral signals for quick identification.
Pattern filtering: Enable or disable specific patterns (Bullish, Bearish, or Both) based on your trading preferences.
🔶 Interpreting Indicator
Bullish Engulfing Pattern: Indicates a potential bullish reversal in a downtrend. This signal occurs when a white candlestick with a body size exceeding a specified multiplier completely engulfs the previous black candlestick. The pattern will display a “BE” label below the candle if it meets the criteria, signaling potential upward momentum.
Bearish Engulfing Pattern: Indicates a potential bearish reversal in an uptrend. A black candlestick with a body size exceeding the specified multiplier fully engulfs the previous white candlestick, signaling possible downward movement. The “BE” label appears above the candle to denote this pattern.
Volume Impulse Up: Displays a “VI” label below the candle when the volume surpasses the defined multiplier, and the price closes higher than it opened, indicating strong upward buying interest.
Volume Impulse Down: Displays a “VI” label above the candle when the volume meets or exceeds the specified threshold, and the price closes lower than it opened, signaling strong selling pressure.
Indicator uses the SMA50 and SMA200 to determine trend direction due to their popularity in technical analysis as indicators of medium- and long-term trends. The SMA50 reflects the average price over the past 50 periods, providing insight into intermediate trends, while the SMA200 is often used to identify the broader trend direction. These SMAs help traders quickly assess whether the market is in an uptrend, downtrend, or consolidation phase, enhancing decision-making for both short-term and long-term strategies.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
J Lines EMA + VWAPThe EMA + VWAP indicator combines the power of Exponential Moving Averages (EMA) with the Volume Weighted Average Price (VWAP) to help traders spot trends, identify potential entries/exits, and understand market momentum with ease. This dual-purpose tool is designed to give both beginner and experienced traders a clear view of price direction and volume influence, whether for day trading or swing trading.
Key Features:
Dynamic EMA Lines:
Six customizable moving averages (EMA by default) adapt to your selected timeframe. EMAs help track trend direction and strength, with various colors and opacity settings that visually separate them for clarity.
VWAP Tracking: A standalone VWAP line (blue) shows the average trading price adjusted for volume, making it ideal for pinpointing significant price levels where institutional interest often lies.
EMA Ribbons for Trend Confirmation: Soft-colored ribbons are placed between EMA pairs to make the trend strength visually apparent, with different color fills between lines. This makes it easy to gauge bullish or bearish conditions at a glance.
Flexible MA Options: Besides EMA, you can choose from SMA, WMA, HMA, and RMA, allowing you to adapt the indicator to various trading strategies.
This tool simplifies trend-following and volume-based analysis by giving you insight into both price momentum and market participation levels. EMAs adapt to volatility and changing market conditions, while the VWAP keeps you aware of critical price zones based on trading volume. Together, these help you stay on the right side of the market, avoid false breakouts, and make informed decisions on when to enter or exit trades.
Ideal for beginners due to its visual clarity and flexible enough for seasoned traders, EMA + VWAP is your go-to indicator for a structured approach to market trends.
Trend Counter [BigBeluga]The Trend Counter indicator is designed to help traders identify trend conditions and potential reversals by counting the number of bars within a specified period that are above or below an average price level. By smoothing and averaging these counts, the indicator provides a clear visual representation of market trends and highlights key trend changes.
Key Features:
⦾ Trend Counting:
Counts bars above and below average price levels over a specified period.
Smooths and rounds the count for better visualization.
// Count bars over length period above highest and lowest avg with offset loop
float mid = math.avg(ta.highest(length), ta.lowest(length))
for offset = 0 to length -1
switch
hl2 > mid => counter += 1.0
=> counter := 0.0
// Smooth Count and Round
counter := math.round(ta.ema(counter > 400 ? 400 : counter, smooth))
// Count Avg
count.push(counter)
avg = math.round(count.avg())
⦿ Color Indication:
Uses gradient colors to indicate the strength of the trend.
Colors the background based on trend strength for easier interpretation.
⦿ Trend Signals:
Provides visual cues for trend changes based on the counter crossing predefined levels.
⦿ Potential Tops:
Identifies potential market tops using a specified length and highlights these levels.
⦿ Additional Features:
Displays Trend Counter value with arrows to indicate the direction of the trend movement.
Displays average trend count and level for reference.
⦿ User Inputs Description
Length: Defines the period over which the trend counting is performed.
Trend Counter Smooth: Specifies the smoothing period for the trend counter.
Level: Sets the threshold level for trend signals.
Main Color: Determines the primary color for trend indication.
The Trend Counter indicator is a powerful tool for traders seeking to identify and visualize market trends.
By counting and smoothing price bars above and below average levels, it provides clear and intuitive signals for trend strength and potential reversals.
With customizable parameters and visual cues, the Trend Counter enhances trend analysis and decision-making for traders of all levels.
Vertical Line on Custom DateThis Pine Script code creates a custom indicator for TradingView that draws a vertical line on the chart at a specific date and time defined by the user.
User Input: Allows the user to specify the day, hour, and minute when the vertical line should appear.
Vertical Line Drawing: When the current date and time match the user’s inputs, a vertical line is drawn on the chart at the corresponding bar, offset by one bar to align properly.
Customizable Color and Width: The vertical line is displayed in purple with a customizable width.
Overall, this indicator helps traders visually mark important dates and times on their price charts.
