Tendencias FX - Multi-Line with Customizable OffsetsIndicator Description (English)
Name: Tendencias FX - Multi-Line with Customizable Offsets (1x..6x)
This script is a multi-purpose trend-following indicator that calculates a central Moving Average (Mid Line) plus a set of 6 different bands (1x to 6x) above and below that average. Each band is determined by a user-defined ATR length and multiplier. Key features include:
Independent MA Types
Choose different moving average methods for the Mid Line and for the ATR calculation.
Available types: SMA, EMA, WMA, RMA, HMA, and ALMA.
Separate Lengths
Configure the length of the Mid Line independently from the ATR length.
This allows fine-tuning of both the central average and the volatility measure.
6 Customizable Multipliers
Bands are calculated for 1x, 2x, 3x, 4x, 5x, and 6x multiples of the chosen ATR.
Each level has its own checkbox in the Inputs tab so you can show or hide them at will.
Color Dynamics
The Mid Line automatically changes color to green when its current value is higher than the previous bar’s value, and red otherwise.
All upper/lower bands are rendered in a neutral gray (#787b86) for easy distinction.
Time Shift (Offset)
An offset parameter allows shifting the entire indicator (Mid Line plus bands) forward (to the right) or backward (to the left) by a certain number of bars.
This can help evaluate leads/lags, or compare the past behavior of these lines against future price developments.
Check Boxes for Visibility
Checkboxes in the Inputs let you toggle 1x..6x band levels.
By default, 1x, 2x, and 3x are visible, while 4x, 5x, and 6x are off.
Overlay with Shared Price Scale
The script is set as overlay=true and uses scale=scale.right, so it draws directly on the main chart and shares the same price axis as your candles.
This indicator is ideal if you want:
A central MA for trend detection.
ATR-based volatility bands (up to 6 multipliers).
Full control over the type and length of both the Mid Line MA and the ATR.
An optional offset to shift the lines in time for backtesting or forward-projection.
Usage Tips
In the Inputs tab, customize:
Mid Line length and ATR length independently.
MA methods for both Mid Line and ATR (SMA, EMA, WMA, RMA, HMA, ALMA).
Band visibility via checkboxes for 1x..6x.
Offset for shifting lines in time.
In the Style tab, you can further customize colors, line widths, and visibility of each element (Mid line, ±1x..±6x).
Forecasting
RSI 5min Cross StrategyA short-term mean-reversion strategy that capitalizes on RSI oscillations in volatile markets.
Core Logic:
Entry Signal:
Triggers LONG position when 14-period RSI crosses above 35 on 5-minute charts
Indicates emerging momentum from oversold territory
Exit Signal:
Closes position when 14-period RSI crosses below 65
Captures profit before potential overbought reversal
Key Features:
Designed for high-liquidity markets (FX, crypto, large-cap stocks)
Optimized for ranging/sideways markets
Default 0.1% transaction cost included
Non-repainting signals for reliable backtesting
Rationale:
Uses wider RSI thresholds (35/65 vs standard 30/70) to avoid false signals
Exploits short-term price mean-reversion in 5-minute timeframes
Automated exit prevents emotional decision-making
Ideal For:
Day traders seeking frequent opportunities (6-12 trades/day)
Markets with clear oscillation patterns (e.g., indices, major currency pairs)
Risk Management:
⚠️ Requires strict stop-loss (not included in base script)
⚠️ Performs best when combined with:
Volume confirmation
Support/resistance alignment
Volatility filters (ATR/BB Width)
Strengths ➔ Quick turnaround trades, simple ruleset
Limitations ➔ Choppy markets cause whipsaws, needs trend confirmation
Quarterly Divider The "Quarterly Divider" script draws vertical lines at the start of each quarter (January, April, July, October) on the Trading View chart. It also labels each line with the corresponding quarter (Q1, Q2, Q3, Q4) at the bottom of the line, making it easy to visualize the start of each trading quarter. The color and thickness of the lines are customizable
NB. works effectively is used on the weekly timeframe
Nadaraya Watson (Lupown) / Owl of Profit remakeNadaraya-Watson Strategy (Lupown)
Big thanks to Lupown for this innovative strategy! This source code is subject to the terms of the Mozilla Public License 2.0, available at mozilla.org
This strategy leverages Nadaraya-Watson Kernel Regression to provide predictive trend analysis, combined with ATR-based dynamic bands for identifying trade opportunities.
Features:
Nadaraya-Watson Kernel Regression:
Predicts price trends using a rational quadratic kernel.
Configurable parameters for lookback window (h) and weighting (r) allow fine-tuning.
Regression begins after a customizable number of bars for improved accuracy.
ATR-Based Bands:
Upper and lower bands are calculated by adding/subtracting a multiple of ATR to/from the regression estimate.
Bands serve as dynamic support and resistance levels.
Trend Detection:
Smooth or reactive color changes based on crossovers or rate-of-change mechanisms.
Bullish and bearish trend shifts are clearly visualized.
Entry and Exit Logic:
Long Condition:
Triggered when the price crosses below the lower ATR-based band.
Closes any short position before opening a long position.
Short Condition:
Triggered when the price crosses above the upper ATR-based band.
Closes any long position before opening a short position.
Visualization:
Regression Estimate: The middle band is plotted with dynamic colors indicating bullish (green) or bearish (red) trends.
ATR-Based Bands: Upper and lower bands are displayed as green and red lines, respectively.
Trend Indicators: Buy and sell signals are visualized with symbols (🍀 for bullish and 🥀 for bearish).
Alerts:
Alerts for price crossing the upper or lower bands.
Alerts for bullish and bearish trend shifts based on regression changes.
This strategy provides a robust framework for predictive trading using statistical regression and dynamic volatility bands. Use it for backtesting and further customization to fit your trading needs.
Visit my website for more tools and strategies: bybitindicators.com
Happy trading!
Moving Average Crossoverchatgpt testing script
New to pine script trading and copied this script from chatgpt and just want to see what it does \.
No idea what the words mean even though i'm a python programmer
Breakout with Volume and RSI FilterCommon Causes of the Error
Unintended Line Breaks:
Pine Script does not allow line breaks in the middle of a statement unless properly formatted.
Missing Parentheses or Brackets:
Ensure all (, ), , {, and } are properly closed.
Improper Use of Commas:
Ensure commas are used correctly in function arguments and arrays.
Unclosed Strings:
Ensure all strings are properly closed with double quotes (").
Fixed Pine Script Code
Here’s the corrected version of the Pine Script code, ensuring no unintended line breaks or syntax errors:
Price & P/E Regression with Mean Reversion Zones (6 Years)This indicator is designed to analyze the relationship between a stock's price and its price-to-earnings (P/E) ratio relative to their respective regression trends over a six-year period. Based on research, the indicator highlights mean reversion zones—areas where price and P/E deviate significantly from their historical averages. These zones signal potential overvaluation or undervaluation, providing insights into whether a stock is trading above or below its fair value. By incorporating regression analysis, the tool identifies long-term price and valuation trends, while mean reversion dynamics help anticipate possible corrections or continuations. This approach combines price momentum, valuation insights, and historical behavior to inform both short-term trading opportunities and long-term investment decisions.
Stochastic RSI - 8 TimeframesStochastic RSI - 8 Timeframes (English version)
To configure this indicator, follow the step-by-step below:
Select the setting button in the chart of Stoch RSI MTF:
INPUTS - The first tab of setting :
K = (Smooth K) standard input is 3 and minimun is 1
D = (Smooth D) standard input is 3 and minimun is 1
The RSI lenght and Stochastic lenght standards are 14 candles (for all kinds of timeframes)
RSI Source = close (standard)
Setting and Organize the Timeframe for each channel (1 to 8) --> Default is set from smallest timeframe to largest >>
{Timeframe 1 >> 1 minute, Timeframe 2 >> 5 minutes, Timeframe 3 >> 15 minutes, Timeframe 4>> 1 hour,
Time frame 5 >> 4 hours, Timeframe 6 >> 1 day, Timeframe 7 >> 1 week, Timeframe 8 >> 1 month}
STYLE - The second tab of setting
Select which channel 1 to 8 will be activated throught the K or D curves or boths can be selected
Select the RSI bands (upper, middle and lower)
Colors for configuration: All colors are already configured and follow the sequence (for Knowledge):
1 minute: red (#f23645) - all colors are in 100% opacity
5 minutes: orange (#ff9800)
15 minutes: yellow (#ffeb3b)
1 hour: green (#4caf50)
4 hours: blue (#2962ff)
1 day: Purple (#9c27b0)
1 week: Pink - Light (#f48fb1)
1 month: Pink 400 (#ec407a)
VISIBILITY - The third tab of setting
Default for all timeframes;
Below is Protuguese version (only translation from above):
Para configurar após selecionar este indicador, seguem os passos abaixo: (Português)
Selecionar o botão Configurações do gráfico Stoch RSI MTF :
VALORES - Na primeira tela de configuração:
K = (Smooth K) valor padrão está em 3 e o mínimo é 1
D = (Smooth D)valor padrão está em 3 e o mínimo é 1
O período IFR e o período estocástico está no padrão de 14 candles (para cada tipo de tempo gráfico)
Fonte do IFR = fechamento do candle (padrão)
Configurar nos canais de 1 a 8 os timeframes os tempos gráficos --> Padrão está configurado do menor timeframe para o maior>>
{Timeframe 1 >> 1 minute, Timeframe 2 >> 5 minutes, Timeframe 3 >> 15 minutes, Timeframe 4>> 1 hour,
Time frame 5 >> 4 hours, Timeframe 6 >> 1 day, Timeframe 7 >> 1 week, Timeframe 8 >> 1 month}
ESTILO - Na segunda tela de configuração:
Selecionar qual canal de 1 a 8 será ativado através da curva K ou D ou ambas
Selecionar os limites do RSI mínimo e máximo e a referencia neutra
Cores para configuração : Todas as cores já estão configuradas e seguem abaixo na sequencia (para conhecimento):
1 minute: red (#f23645) - all colors are in 100% opacity
5 minutes: orange (#ff9800)
15 minutes: yellow (#ffeb3b)
1 hour: green (#4caf50)
4 hours: blue (#2962ff)
1 day: Purple (#9c27b0)
1 week: Pink - Light (#f48fb1)
1 month: Pink 400 (#ec407a)
VISIBILIDADE - Na terceira tela de configuração:
Padrão ticks e tempos gráficos para todos os tipos;
Ichimoku MTF (best MTF 4H - Entry 15M)The Ichimoku Cloud is a collection of technical indicators that show support and resistance levels, as well as momentum and trend direction. It does this by taking multiple averages and plotting them on a chart. It also uses these figures to compute a “cloud” that attempts to forecast where the price may find support or resistance in the future.
The technical indicator shows relevant information at a glance by using averages.
The overall trend is up when the price is above the cloud, down when the price is below the cloud, and trendless or transitioning when the price is in the cloud.
Charles G. Koonitz. “Ichimoku Analysis & Strategies: The Visual Guide to Spot the Trends in Stock Market, Cryptocurrency and Forex Using Technical Analysis and Cloud Charts," Tripod Solutions Inc., 2019.
When Leading Span A is rising and above Leading Span B, this helps to confirm the uptrend and the space between the lines is typically colored green. When Leading Span A is falling and below Leading Span B, this helps confirm the downtrend. The space between the lines is typically colored red in this case.1
Traders will often use the Ichimoku Cloud as an area of support and resistance depending on the relative location of the price. The cloud provides support/resistance levels that can be projected into the future. This sets the Ichimoku Cloud apart from many other technical indicators that only provide support and resistance levels for the current date and time.
Traders should use the Ichimoku Cloud in conjunction with other technical indicators to maximize their risk-adjusted returns. For example, the indicator is often paired with the relative strength index (RSI), which can be used to confirm momentum in a certain direction. It’s also important to look at the bigger trends to see how the smaller trends fit within them. For example, during a very strong downtrend, the price may push into the cloud or slightly above it, temporarily, before falling again. Only focusing on the indicator would mean missing the bigger picture that the price was under strong longer-term selling pressure.
Crossovers are another way that the indicator can be used. Watch for the conversion line to move above the base line, especially when the price is above the cloud. This can be a powerful buy signal. One option is to hold the trade until the conversion line drops back below the base line. Any of the other lines could be used as exit points as well.
TRENDSYNC BUY/SELL BY SIMPLY_DANTE-FXTrendSync Buy and Sell Indicator
PS: Kindly give me feedback on the comment section, I will really appriciate
Created By: Simply_Dante-FX
About the Author:
Simply_Dante-FX is a skilled trader and developer with a focus on creating custom indicators and strategies for technical analysis. With a strong understanding of market behavior, he has designed the TrendSync Buy and Sell indicator to help traders identify high-probability buy and sell signals based on a combination of trend-following, momentum, and price action strategies. Simply_Dante-FX aims to provide tools that enhance trading decisions and improve the overall trading experience.
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Description:
The TrendSync Buy and Sell indicator is designed to help traders identify potential buy and sell signals based on a combination of trend-following and momentum-based strategies. This custom indicator combines a range of technical tools, including the Simple Moving Average (SMA), Average True Range (ATR), and the Relative Strength Index (RSI), to filter and confirm entry points.
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How It Works:
1. Trend Identification (SMA):
- The indicator uses the 200-period Simple Moving Average (SMA) to determine the overall trend direction.
- A Buy Signal is generated when the price is above the SMA, indicating an uptrend.
- A Sell Signal is generated when the price is below the SMA, indicating a downtrend.
2. Range Filtering (ATR):
- The Average True Range (ATR) is used to filter out signals that occur during periods of low volatility.
- The ATR is multiplied by a user-defined range filter multiplier (default is 1.2) to ensure the signal is coming from a sufficiently volatile market condition.
3. Momentum Confirmation (RSI):
- The RSI is used as a momentum filter. For Buy Signals, the RSI must be above the user-defined threshold (default is 50), indicating bullish momentum.
- For Sell Signals, the RSI must be below the opposite threshold (100 - RSI Threshold), indicating bearish momentum.
4.Price Action Conditions:
- Buy and Sell signals are further confirmed by price action:
- Buy Signal: Identifies higher lows during an uptrend.
- Sell Signal: Identifies higher highs during an uptrend, or lower highs in a downtrend.
5. Unified Signal:
- The script combines the various conditions to generate a unified signal, ensuring that only high-probability trade opportunities are highlighted.
How to Use It:
1.Buy Signal: Look for a green label below the bar, which indicates a potential buying opportunity. This signal is generated when:
- The price is above the 200-period SMA (uptrend).
- The RSI is above the defined threshold (momentum confirmation).
- The ATR-based range filter confirms sufficient market movement.
2. Sell Signal: Look for a red label above the bar, which indicates a potential selling opportunity. This signal is generated when:
- The price is below the 200-period SMA (downtrend).
- The RSI is below the defined threshold (momentum confirmation).
- The ATR-based range filter confirms sufficient market movement.
3. Visual Confirmation: The script also plots the 200-period SMA for easy identification of the overall trend direction.
4.Alert Setup: You can set up an alert using the “Unified Buy/Sell Alert” condition to notify you when a buy or sell signal is triggered.
Disclaimer:
- Risk Warning: The TrendSync Buy and Sell indicator is a tool for technical analysis and is not a guaranteed method for predicting market movements. Trading carries risk, and it is essential to use proper risk management techniques and not rely solely on any one indicator.
- No Financial Advice: This indicator does not constitute financial advice, and the author, Simply_Dante-FX, does not take responsibility for any trading losses or profits resulting from the use of this tool.
- Performance: Past performance is not indicative of future results. Always conduct your own analysis and use additional tools and strategies to confirm trade decisions.
Use this indicator with caution, and always ensure that you understand the risks involved in trading before committing real capital.
Best Buffett Ratio w/ Std-Dev Offset + Conditional PlotSummary:
This script provides a visually clear way to track the so-called “Buffett Ratio,”
a popular market valuation gauge which compares the total US stock market cap
to the country’s GDP. In addition, it plots a “hardcoded” long-term trend line,
along with fixed standard-deviation bands (in log space), and uses background colors
to signal potentially overvalued or undervalued zones.
What Is the Buffett Ratio?
Often credited to Warren Buffett, the Buffett Ratio (or Buffett Indicator) measures:
(Total US Stock Market Capitalization) / (US GDP)
• A higher ratio typically means equities are more expensive relative to the size of the economy.
• A lower ratio suggests equities may be more attractively valued compared to GDP.
Historically, the ratio has tended to drift upward over many decades,
as the US economy and stock markets grow, but it still oscillates around some trend over time.
How to Use
1) Add to Chart:
- In TradingView, simply apply the indicator (it internally fetches CRSPTM1 & GDP data).
2) Tweak Inputs:
- Log Offset for 1σ: Adjust how wide the ±1σ/±2σ bands appear around the trend.
- Anchor Points: Edit startYear , endYear , startRatio , endRatio
if you want a different slope or different “fair value” anchors.
3) Interpretation:
- If the indicator is above +2σ (red line) , it’s historically “very expensive,”
often leading to lower future returns over the long term.
- If it’s below –2σ (green line) , it’s historically “deep undervaluation,”
often pointing to better future returns over time.
- The intermediate zones show degrees of mild over- or undervaluation.
How This Script Works
1) Buffett Ratio Calculation:
- The script requests data from TradingView’s built-in CRSPTM1 index (total US market cap).
- It also requests US GDP data via request.economic("US", "GDP") .
- If GDP data is missing, the ratio becomes na on that bar.
2) Hardcoded Trend Line:
- Rather than a rolling average, the script uses two “anchors” (e.g. 1950 → 0.30 ratio, 2024 → 1.25 ratio)
and solves for a single log-growth rate to produce a steady upward slope.
3) Fixed Standard Deviations in Log Space:
- The script takes the log of the trend line, then applies a fixed offset for ±1σ and ±2σ,
creating proportional bands that do not “expand/contract” from a rolling window.
4) Conditional Plotting:
- The script only begins plotting once the Buffett Ratio actually has data (around 2011).
5) Color-Coded Zones:
- Above +2σ: red background (historically very expensive)
- Between +1σ and +2σ: yellow background (moderately expensive)
- Between –1σ and +1σ: no background color (around normal)
- Between –2σ and –1σ: aqua background (moderately undervalued)
- Below –2σ: green background (historically deep undervaluation)
Final Notes
• Data Limitations: US GDP data and CRSPTM1 only go back so far, so this starts around 2011.
• Long-Term vs. Short-Term: Best viewed on monthly/quarterly charts and interpreted over years.
• Tuning: If you believe structural changes have shifted the ratio’s fair slope,
adjust the code’s anchors or log offsets.
Enjoy, and use responsibly!
RSI OB/OS Strategy Analyzer█ OVERVIEW
The RSI OB/OS Strategy Analyzer is a comprehensive trading tool designed to help traders identify and evaluate overbought/oversold reversal opportunities using the Relative Strength Index (RSI). It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of RSI-based strategies over a user-defined lookback period.
█ KEY FEATURES
RSI Calculation
Calculates RSI with customizable period (default 14)
Plots dynamic overbought (70) and oversold (30) levels
Adds background coloring for OB/OS regions
Reversal Signals
Identifies signals based on RSI crossing OB/OS levels
Two entry strategies available:
Revert Cross: Triggers when RSI exits OB/OS zone
Cross Threshold: Triggers when RSI enters OB/OS zone
Trade Direction
Users can select a trade bias:
Long: Focuses on oversold reversals (bullish signals)
Short: Focuses on overbought reversals (bearish signals)
Performance Metrics
Calculates three key statistics for each lookback period:
Win Rate: Percentage of profitable trades
Mean Return: Average return across all trades
Median Return: Median return across all trades
Metrics calculated as percentage changes from entry price
Visual Signals
Dual-layer signal display:
BUY: Green triangles + text labels below price
SELL: Red triangles + text labels above price
Semi-transparent background highlighting in OB/OS zones
Performance Table
Interactive table showing metrics for each lookback period
Color-coded visualization:
Win Rate: Gradient from red (low) to green (high)
Returns: Green for positive, red for negative
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
Adjustable table font sizes: Auto/Small/Normal/Large
Toggle option for table visibility
█ PURPOSE
The RSI OB/OS Strategy Analyzer helps traders:
Identify mean-reversion opportunities through RSI extremes
Backtest entry strategy effectiveness across multiple time horizons
Optimize trade timing through visual historical performance data
Quickly assess strategy robustness with color-coded metrics
█ IDEAL USERS
Counter-Trend Traders: Looking to capitalize on RSI extremes
Systematic Traders: Needing quantitative strategy validation
Educational Users: Studying RSI behavior in different market conditions
Multi-Timeframe Analysts: Interested in forward returns analysis
Breakout Detection using EMAs and Mansfield Relative StrengthThis script identifies breakout opportunities based on a combination of price action, volume, and relative strength. It is designed for daily timeframe charts and helps traders pinpoint strong bullish setups with the following criteria:
Price Action: Stock price is above both the 10-day EMA and 5-week EMA.
EMA Trends: The 10-day EMA is above the 20-day EMA, and the 5-week EMA is above the 10-week EMA, confirming bullish momentum.
Customizable Parameters: Customize the index for the Mansfield Relative Strength, the volume multiplier, and the price breakout look-back period.
Price Breakout: The price is at a 3-month high, indicating strength.
Volume Breakout: A volume spike occurs, surpassing the 20-day average volume by a user-defined multiplier.
Features:
Generates clear breakout signals with a green triangle below the bar.
Integrated Mansfield Relative Strength for relative performance analysis.
Alerts for when all conditions are met, ensuring you never miss an opportunity.
How to Use:
Add this script to a daily chart of your chosen stock.
Look for green triangle signals indicating a potential breakout.
Adjust the parameters to suit your trading strategy and preferred index for the Mansfield Relative Strength.
This tool is ideal for swing traders looking to combine technical analysis with relative strength metrics for high-conviction bullish setups.
Bollinger Bands Reversal Strategy Analyzer█ OVERVIEW
The Bollinger Bands Reversal Overlay is a versatile trading tool designed to help traders identify potential reversal opportunities using Bollinger Bands. It provides visual signals, performance metrics, and a detailed table to analyze the effectiveness of reversal-based strategies over a user-defined lookback period.
█ KEY FEATURES
Bollinger Bands Calculation
The indicator calculates the standard Bollinger Bands, consisting of:
A middle band (basis) as the Simple Moving Average (SMA) of the closing price.
An upper band as the basis plus a multiple of the standard deviation.
A lower band as the basis minus a multiple of the standard deviation.
Users can customize the length of the Bollinger Bands and the multiplier for the standard deviation.
Reversal Signals
The indicator identifies potential reversal signals based on the interaction between the price and the Bollinger Bands.
Two entry strategies are available:
Revert Cross: Waits for the price to close back above the lower band (for longs) or below the upper band (for shorts) after crossing it.
Cross Threshold: Triggers a signal as soon as the price crosses the lower band (for longs) or the upper band (for shorts).
Trade Direction
Users can select a trade bias:
Long: Focuses on bullish reversal signals.
Short: Focuses on bearish reversal signals.
Performance Metrics
The indicator calculates and displays the performance of trades over a user-defined lookback period ( barLookback ).
Metrics include:
Win Rate: The percentage of trades that were profitable.
Mean Return: The average return across all trades.
Median Return: The median return across all trades.
These metrics are calculated for each bar in the lookback period, providing insights into the strategy's performance over time.
Visual Signals
The indicator plots buy and sell signals on the chart:
Buy Signals: Displayed as green triangles below the price bars.
Sell Signals: Displayed as red triangles above the price bars.
Performance Table
A customizable table is displayed on the chart, showing the performance metrics for each bar in the lookback period.
The table includes:
Win Rate: Highlighted with gradient colors (green for high win rates, red for low win rates).
Mean Return: Colored based on profitability (green for positive returns, red for negative returns).
Median Return: Colored similarly to the mean return.
Time Filtering
Users can define a specific time window for the indicator to analyze trades, ensuring that performance metrics are calculated only for the desired period.
Customizable Display
The table's font size can be adjusted to suit the user's preference, with options for "Auto," "Small," "Normal," and "Large."
█ PURPOSE
The Bollinger Bands Reversal Overlay is designed to:
Help traders identify high-probability reversal opportunities using Bollinger Bands.
Provide actionable insights into the performance of reversal-based strategies.
Enable users to backtest and optimize their trading strategies by analyzing historical performance metrics.
█ IDEAL USERS
Swing Traders: Looking for reversal opportunities within a trend.
Mean Reversion Traders: Interested in trading price reversals to the mean.
Strategy Developers: Seeking to backtest and refine Bollinger Bands-based strategies.
Performance Analysts: Wanting to evaluate the effectiveness of reversal signals over time.
Bearish Gap Down DetectionThis indicator is designed to identify bearish gap downs in price action and visually mark them on your chart. A gap down occurs when today's opening price is below the previous day's low, and the closing price remains below that low, signaling a potential bearish continuation or reversal.
Features:
Precise Gap Down Detection: Identifies only confirmed bearish gap downs, avoiding false signals.
Clear Visual Markers: Marks detected gap downs with a red downward triangle above the bar for easy identification.
Minimalist Design: Focuses solely on gap down detection, without any reliance on moving averages or additional noise.
Use Cases:
Trend Reversals: Spot potential downward trends as they develop.
Momentum Confirmation: Use alongside other indicators or strategies to confirm bearish momentum.
Swing Trading Opportunities: Ideal for traders looking to capitalize on significant price movements.
How It Works:
The script detects a gap down when:
Today's opening price is below the previous day's low.
Today's closing price stays below the previous day's low.
When these conditions are met, the indicator plots a red triangle above the price bar, signaling a bearish gap down.
Best Practices:
Apply this script to daily or higher timeframes for more reliable results.
Combine it with other indicators, such as support/resistance levels or volume analysis, for enhanced decision-making.
Previous D, W, M High/LowThis indicator plots previous day's high,low,open and close values and plots previous week's and month's high and low value on the chart.
US30 Q4_trade _levels_Jan2025updated description and use
US30 Trade Levels.plus 50% take profit levels
this indicator is based on the US30 quarterly theory level strategy
the difference here is that the zones have been zoom'd out for the H2 view for oversight and M30 as application theory to the Q4 levels.
The Q4 levels are spaced and calculated 385 pips apart, and also span within the daily ADR range for US30.
so these are zones that has proven to be valid going back as far as Nov2022
these are pass through levels, to together with other confluences like order blocks and or breaker blocks, will give you a guideline as to expect a valid zone of interest.
USE this indicator in conjunction with an SMC point of view to identify OB & CHOCH
Daily Open LineIndicator Goal/Objective:
This is a Simple Code to show Daily Open Level in chart
This script plots a circle at the open price of the current day on the chart.
It marks the first bar's open price of each new trading day and
keeps the same value for the rest of the day until a new trading day begins.
It is only for analysis purpose only.
it is not a new indicator and can be replica of any other persons indicator.
The purpose of making indicator as an individual indicator is only for easiness.
Price Projection by Linear RegressionPurpose:
This is a TradingView Pine Script indicator that performs a linear regression on historical price data to project potential future price levels. It's designed to help traders visualize long-term price trends and potential future price targets.
Key Components:
User Inputs:
Historical Data Points (default 1000 bars) - The amount of historical data used to calculate the trend
Years to Project (default 10 years) - How far into the future to project the price
Technical Implementation:
Uses linear regression (ta.linreg) to calculate the trend slope
Converts years to trading days using 252 trading days per year
Limits visible projection to 500 bars due to TradingView's drawing limitations
Projects prices using the formula: current_price + (slope × number_of_bars)
Visual Elements:
Blue line showing actual historical prices
Red projection line showing the expected price path
Label showing the projected price at the visible end of the line
Information table in the top-right corner showing:
Current price
Final projected price after the full time period
Limitations:
Can only display projections up to 500 bars into the future (about 2 years) due to TradingView limitations
The full projection value is still calculated and shown in the table
Past performance doesn't guarantee future results - this is a mathematical projection based on historical trends
Usage:
Traders can use this to:
Visualize potential long-term price trends
Set long-term price targets
Understand the historical trend's trajectory
Compare current prices with projected future values
Bitcoin 1H-15M Breakout StrategyKey Features
1H and 15M Timeframes:
The script uses the 1-hour timeframe for the range and 15-minute timeframe for breakout conditions.
request.security is used to fetch the higher timeframe data.
Risk Management:
Variables entry_price, sl_price, and tp_price are declared explicitly as float with na initialization to handle dynamic assignment.
Stop-loss and take-profit levels are calculated based on the specified Risk-Reward Ratio (RRR) and buffer (in pips).
Trade Logic:
Long trade triggered when the 15-minute candle closes above the 1-hour high.
Short trade triggered when the 15-minute candle closes below the 1-hour low.
Visualization:
The range_high and range_low (previous 1-hour high and low) are plotted on the chart using dashed lines.
Debugging:
Enabling the show_debug input displays labels showing stop-loss and take-profit values for easier troubleshooting.