Multiple Swing High/Low with SLExplanation:
Swing Highs and Lows:
The script detects swing highs and swing lows using ta.pivothigh() and ta.pivotlow() on a 3-minute basis.
Each swing high is drawn with a green line, and each swing low is drawn with a red line.
Stop-Loss (SL) Lines:
For each swing high, a stop-loss line is drawn 15 points below the swing high.
For each swing low, a stop-loss line is drawn 15 points above the swing low.
The SL line for swing highs is drawn in red, and the SL line for swing lows is drawn in blue.
Labels for Swing High/Low and SL:
Labels with text like "Swing High" or "Swing Low" are added at the swing points, and SL labels are added at the stop-loss levels.
These labels can be toggled on/off using the showSwingTags input.
Line Extension:
The line.set_x2() function ensures that the swing lines and SL lines are extended to the current bar as price moves.
Key Changes:
Removed Arrays: Instead of using arrays to store lines and labels, we now handle each line and label individually. This avoids the issue where complex types (line and label) were being stored in arrays, which Pine Script doesn't support directly.
Dynamic Creation: New lines and labels are dynamically created as new swings occur, and they stay on the chart until the script is removed or the chart is reloaded.
Indicadores de Banda
Volume Delta Candles HTF [TradingFinder] LTF Volume Candles 🔵 Introduction
In financial markets, understanding the concepts of supply and demand and their impact on price movements is of paramount importance. Supply and demand, as fundamental pillars of economics, reflect the interaction between buyers and sellers.
When buyers' strength surpasses that of sellers, demand increases, and prices tend to rise. Conversely, when sellers dominate buyers, supply overtakes demand, causing prices to drop. These interactions play a crucial role in determining market trends, price reversal points, and trading decisions.
Volume Delta Candles offer traders a practical way to visualize trading activity within each candlestick. By integrating data from lower timeframes or live market feeds, these candles eliminate the need for standalone volume indicators.
They present the proportions of buying and selling volume as intuitive colored bars, making it easier to interpret market dynamics at a glance. Additionally, they encapsulate critical metrics like peak delta, lowest delta, and net delta, allowing traders to grasp the market's internal order flow with greater precision.
In financial markets, grasping the interplay between supply and demand and its influence on price movements is crucial for successful trading. These fundamental economic forces reflect the ongoing balance between buyers and sellers in the market.
When buyers exert greater strength than sellers, demand dominates, driving prices upward. Conversely, when sellers take control, supply surpasses demand, and prices decline. Understanding these dynamics is essential for identifying market trends, pinpointing reversal points, and making informed trading decisions.
Volume Delta Candles provide an innovative method for evaluating trading activity within individual candlesticks, offering a simplified view without relying on separate volume indicators. By leveraging lower timeframe or real-time data, this tool visualizes the distribution of buying and selling volumes within a candle through color-coded bars.
This visual representation enables traders to quickly assess market sentiment and understand the forces driving price action. Buyer and seller strength is a critical concept that focuses on the ratio of buying to selling volumes. This ratio not only provides insights into the market's current state but also serves as a leading indicator for detecting potential shifts in trends.
Traders often rely on volume analysis to identify significant supply and demand zones, guiding their entry and exit strategies. Delta Candles translate these complex metrics, such as Maximum Delta, Minimum Delta, and Final Delta, into an easy-to-read visual format using Japanese candlestick structures, making them an invaluable resource for analyzing order flows and market momentum.
By merging the principles of supply and demand with comprehensive volume analysis, tools like the indicator introduced here offer unparalleled clarity into market behavior. This indicator calculates the relative strength of supply and demand for each candlestick by analyzing the ratio of buyers to sellers.
🔵 How to Use
The presented indicator is a powerful tool for analyzing supply and demand strength in financial markets. It helps traders identify the strengths and weaknesses of buyers and sellers and utilize this information for better decision-making.
🟣 Analyzing the Highest Volume Trades on Candles
A unique feature of this indicator is the visualization of price levels with the highest trade volume for each candlestick. These levels are marked as black lines on the candles, indicating prices where most trades occurred. This information is invaluable for identifying key supply and demand zones, which often act as support or resistance levels.
🟣 Trend Confirmation
The indicator enables traders to confirm bullish or bearish trends by observing changes in buyer and seller strength. When buyer strength increases and demand surpasses supply, the likelihood of a bullish trend continuation grows. Conversely, decreasing buyer strength and increasing seller strength may signal a potential bearish trend reversal.
🟣 Adjusting Timeframes and Calculation Methods
Users can customize the indicator's candlestick timeframe to align with their trading strategy. Additionally, they can switch between moving average and current candle modes to achieve more precise market analysis.
This indicator, with its accurate and visual data display, is a practical and reliable tool for market analysts and traders. Using it can help traders make better decisions and identify optimal entry and exit points.
🔵 Settings
Lower Time Frame Volume : This setting determines which timeframe the indicator should use to identify the price levels with the highest trade volume. These levels, displayed as black lines on the candlesticks, indicate prices where the most trades occurred.
It is recommended that users align this timeframe with their primary chart’s timeframe.
As a general rule :
If the main chart’s timeframe is low (e.g., 1-minute or 5-minute), it is better to keep this setting at a similarly low timeframe.
As the main chart’s timeframe increases (e.g., daily or weekly), it is advisable to set this parameter to a higher timeframe for more aligned data analysis.
Cumulative Mode :
Current Candle : Strength is calculated only for the current candlestick.
EMA (Exponential Moving Average) : The strength is calculated using an exponential moving average, suitable for identifying longer-term trends.
Calculation Period : The default period for the exponential moving average (EMA) is set to 21. Users can modify this value for more precise analysis based on their specific requirements.
Ultra Data : This option enables users to view more detailed data from various market sources, such as Forex, Crypto, or Stocks. When activated, the indicator aggregates and displays volume data from multiple sources.
🟣 Table Settings
Show Info Table : This option determines whether the information table is displayed on the chart. When enabled, the table appears in a corner of the chart and provides details about the strength of buyers and sellers.
Table Size : Users can adjust the size of the text within the table to improve readability.
Table Position : This setting defines the table’s placement on the chart.
🔵 Conclusion
The indicator introduced in this article is designed as an advanced tool for analyzing supply and demand dynamics in financial markets. By leveraging buyer and seller strength ratios and visually highlighting price levels with the highest trade volume, it aids traders in identifying key market zones.
Key features, such as adjustable analysis timeframes, customizable calculation methods, and precise volume data display, allow users to tailor their analyses to market conditions.
This indicator is invaluable for analyzing support and resistance levels derived from trade volumes, enabling traders to make more accurate decisions about entering or exiting trades.
By utilizing real market data and displaying the highest trade volume lines directly on the chart, it provides a precise perspective on market behavior. These features make it suitable for both novice and professional traders aiming to enhance their analysis and trading strategies.
With this indicator, traders can gain a better understanding of supply and demand dynamics and operate more intelligently in financial markets. By combining volume data with visual analysis, this tool provides a solid foundation for effective decision-making and improved trading performance. Choosing this indicator is a significant step toward refining analysis and achieving success in complex financial markets.
Supply and Demand - Order Block Strategy BY ALGERNON STONEBreakout Logic:
topBreakCheckSource and bottomBreakCheckSource are used to define the break-out check based on user input.
If the price crosses over the topValue (the high of the last fractal) and topBreakBlock is not set, then a long entry is generated after creating a demandBox, based on the last red candle's low and high.
If the price crosses under the bottomValue and bottomBreakBlock is not set, then a short entry is generated after creating a supplyBox, based on the last green candle's low and high.
If a long or short is active, and a breakout of the price happens, the script will draw a new line object to indicate the breakout, where x2 of the line is set to the current bar index
Fractal Detection:
If a new up fractal is detected, the topValue and topLine variables are updated, and the old line object is deleted
If a new down fractal is detected, the bottomValue and bottomLine variables are updated, and the old line object is deleted
Box Color Update:
The script loops through all the active boxes and changes their color if the current candle close price is outside the range of the box.
Plots: Plots the up and down fractals for visualization.
Checklist Table: A table displays the status of different conditions of the script on the bottom right.
Shows status of Up Fractal, Down Fractal, Top Break, Bottom Break, Last Red Candle, Last Green Candle, Box Color Change Active using check and cross mark symbols.
How the Strategy Works:
Fractal Identification: The strategy continuously looks for fractal highs and lows.
Order Block Identification: When a new fractal is formed, the script stores the high and low of the last opposing candle.
Breakout Confirmation: When price breaks the range of a fractal, it indicates an order block breakout.
Trade Execution: When there is a valid breakout, it triggers a long or short trade, depending on whether a demand or supply zone is broken.
Box Visualization: The script visually represents the order blocks using boxes that are colored green for demand zones and red for supply zones. These boxes can be optionally re-colored if the price breaks beyond them.
Checklist Display: A checklist table at the bottom right of the chart helps the user to quickly understand the script status.
Multiple Swing High/Low with SLExplanation:
Swing Highs and Lows:
The script detects swing highs and swing lows using ta.pivothigh() and ta.pivotlow() on a 3-minute basis.
Each swing high is drawn with a green line, and each swing low is drawn with a red line.
Stop-Loss (SL) Lines:
For each swing high, a stop-loss line is drawn 15 points below the swing high.
For each swing low, a stop-loss line is drawn 15 points above the swing low.
The SL line for swing highs is drawn in red, and the SL line for swing lows is drawn in blue.
Labels for Swing High/Low and SL:
Labels with text like "Swing High" or "Swing Low" are added at the swing points, and SL labels are added at the stop-loss levels.
These labels can be toggled on/off using the showSwingTags input.
Line Extension:
The line.set_x2() function ensures that the swing lines and SL lines are extended to the current bar as price moves.
Key Changes:
Removed Arrays: Instead of using arrays to store lines and labels, we now handle each line and label individually. This avoids the issue where complex types (line and label) were being stored in arrays, which Pine Script doesn't support directly.
Dynamic Creation: New lines and labels are dynamically created as new swings occur, and they stay on the chart until the script is removed or the chart is reloaded.
ATR Multi-Timeframe (Trend Direction + Current Levels) Indicator Name
ATR Multi-Timeframe (Trend Direction + Current Levels)
Description
This indicator helps you visualize support and resistance levels based on the Average True Range (ATR) and track the current trend direction across multiple timeframes (daily, weekly, and monthly). It is a valuable tool for traders looking to enhance decision-making and market volatility analysis.
Key Features
Multi-Timeframe ATR Analysis:
Calculates the Average True Range (ATR) and True Range (TR) for daily, weekly, and monthly timeframes.
Trend Direction Indicators:
Displays trend direction using arrows (▲ for uptrend, ▼ for downtrend) with color-coded labels (green for uptrend, red for downtrend).
Support and Resistance Levels:
Dynamically calculates trend levels (Open ± ATR) and opposite levels for each timeframe.
Persistent lines extend these levels into the future for better visualization.
Customizable Settings:
Toggle visibility of daily, weekly, and monthly levels.
Adjust line width and colors for each timeframe.
Summary Table:
Displays a compact table showing ATR percentages, TR percentages, and trend direction for all timeframes.
Why Use This Indicator?
Quickly identify key support and resistance levels across different timeframes.
Understand market volatility through ATR-based levels.
Spot trends and reversals with easy-to-read visual elements.
How to Use:
Add the indicator to your chart.
Enable or disable specific timeframes (Daily, Weekly, Monthly) in the settings.
Adjust line styles and colors to match your preferences.
Use the displayed levels to plan entry/exit points or manage risk.
This indicator is perfect for both swing and intraday traders who want a clear and dynamic view of volatility and trend across multiple timeframes.
Enhanced Cognitive Learning Indicator 2.0 - Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning 2.0
improved integration and inputs
Enhanced Cognitive Learning Indicator 2.0 - Enhanced Market Analyzer with Advanced Features and Adaptive Cognitive Learning 2.0
improved integration and inputs
Coinbase + BINANCE + BITFINEX Premium Index StrategyThe premium Index helps traders identify moments of increased buying pressure among U.S. investors, often indicative of bullish momentum on lower timeframes. Use this tool to monitor premium dynamics and gain a clearer understanding of market sentiment across major exchanges.
EMA Crossover Strategy by QuantdexQuantdex EMA Crossover Strategy
The Quantdex EMA Crossover Strategy is a powerful trend-following system designed to identify high-probability trading opportunities. It utilizes three exponential moving averages (EMAs) to capture market momentum, confirm trends, and provide precise entry and exit points.
Key Components:
Short-Term EMA:
Reacts quickly to price movements, signaling potential trade entries based on momentum shifts.
Medium-Term EMA:
Filters out short-term market noise and helps validate intermediate trends.
Long-Term EMA:
Represents the overall market direction, serving as a critical trend filter and support/resistance indicator.
Strategy Rules:
Bullish Entry:
When the short-term EMA crosses above the medium-term EMA, and both are aligned above the long-term EMA.
Confirms strong upward momentum in a long-term uptrend.
Bearish Entry:
When the short-term EMA crosses below the medium-term EMA, and both are aligned below the long-term EMA.
Confirms strong downward momentum in a long-term downtrend.
Exit Rules:
Exit long positions when the short-term EMA crosses back below the medium-term EMA.
Exit short positions when the short-term EMA crosses back above the medium-term EMA.
Advantages:
Effectively identifies the dominant market trend using a multi-timeframe approach.
Minimizes false signals by requiring confirmation from all EMAs.
Adaptable for swing traders and position traders across various markets.
The Quantdex EMA Crossover Strategy combines simplicity with accuracy, making it a reliable tool for consistent and disciplined trading.
cá nhân//@version=5
strategy("Demo GPT - Supertrend", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=100, commission_type=strategy.commission.percent, commission_value=0.1, slippage=3)
// Inputs
Periods = input.int(10, title="ATR Period")
src = input.source(hl2, title="Source")
Multiplier = input.float(3.0, title="ATR Multiplier", step=0.1)
changeATR = input.bool(true, title="Change ATR Calculation Method ?")
showSignals = input.bool(true, title="Show Signals ?")
highlighting = input.bool(true, title="Highlighter On/Off ?")
emaPeriod = input.int(50, title="EMA Period")
bbLength = input.int(20, title="Bollinger Bands Length")
bbMultiplier = input.float(2.0, title="Bollinger Bands Multiplier")
// ATR Calculation
atr2 = ta.sma(ta.tr, Periods)
atr = changeATR ? ta.atr(Periods) : atr2
// Supertrend Calculation
up = src - (Multiplier * atr)
up1 = nz(up , up)
up := close > up1 ? math.max(up, up1) : up
dn = src + (Multiplier * atr)
dn1 = nz(dn , dn)
dn := close < dn1 ? math.min(dn, dn1) : dn
trend = 1
trend := nz(trend , trend)
trend := trend == -1 and close > dn1 ? 1 : trend == 1 and close < up1 ? -1 : trend
// Bollinger Bands Calculation
basis = ta.sma(close, bbLength)
deviation = ta.stdev(close, bbLength)
upperBand = basis + (bbMultiplier * deviation)
lowerBand = basis - (bbMultiplier * deviation)
// Plot Supertrend and Bollinger Bands
upPlot = plot(trend == 1 ? up : na, title="Up Trend", style=plot.style_line, linewidth=2, color=color.green)
dnPlot = plot(trend == 1 ? na : dn, title="Down Trend", style=plot.style_line, linewidth=2, color=color.red)
plot(upperBand, title="Upper Band", color=color.blue, linewidth=1)
plot(lowerBand, title="Lower Band", color=color.blue, linewidth=1)
plot(basis, title="BB Basis", color=color.gray, linewidth=1)
// Buy and Sell Signals
buySignal = close > upperBand
sellSignal = close < lowerBand
if (buySignal and showSignals)
strategy.entry("Buy", strategy.long)
if (sellSignal and showSignals)
strategy.close("Buy")
// Highlighting
mPlot = plot(ohlc4, title="", style=plot.style_circles, linewidth=0)
longFillColor = highlighting ? (trend == 1 ? color.new(color.green, 90) : na) : na
shortFillColor = highlighting ? (trend == -1 ? color.new(color.red, 90) : na) : na
fill(mPlot, upPlot, title="UpTrend Highlighter", color=longFillColor)
fill(mPlot, dnPlot, title="DownTrend Highlighter", color=shortFillColor)
// Date Range Filter
startDate = input.time(timestamp("2018-01-01 00:00"), title="Start Date")
endDate = input.time(timestamp("2069-12-31 23:59"), title="End Date")
inDateRange = (time >= startDate and time <= endDate)
if not inDateRange
strategy.close_all()
Support and Resistance TrendlinesStrategy:
Support: Identified as the lowest low over a specific period.
Resistance: Identified as the highest high over a specific period.
Dynamic Trendlines: We’ll use the concept of a rolling window to calculate the highest highs and lowest lows over the last n bars (you can adjust the number of bars for more sensitivity).
Explanation:
Lookback Period (length): The number of bars over which we calculate the support and resistance levels. You can adjust this value depending on the timeframe and the sensitivity you want for the trendlines.
Resistance: This is the highest high over the length of bars. We use ta.highest(high, length) to find the highest high within the specified lookback period.
Support: This is the lowest low over the length of bars. We use ta.lowest(low, length) to find the lowest low within the specified lookback period.
Plotting the Lines:
We plot the support and resistance as horizontal lines on the chart using plot().
Additionally, we create dynamic trendlines that update automatically with each new bar. The line.new function creates lines that can be modified dynamically as new price data comes in.
Line Persistence:
The line functions are used to create horizontal lines that persist across bars. The trendlines adjust their position as the bars move forward.
How It Works:
This indicator will automatically detect the highest and lowest prices over the last n bars and draw support (green line) and resistance (red line) levels on the chart.
The trendlines will adjust as the market evolves and provide visual reference points for potential areas of price reversal.
How to Use This Script:
Copy and paste the Pine Script code into the Pine Script Editor on TradingView.
Save the script, and then add it to your chart.
Adjust the Lookback Period input to suit your trading strategy and timeframe.
The support and resistance levels will be drawn dynamically, and the lines will update as new bars form.
Customizations:
You can modify the number of bars (length) used to calculate support and resistance, depending on the timeframes you're interested in.
If you need more advanced trendline drawing (such as drawing trendlines between significant high/low points or automatic adjustment to more complex patterns), you might need to implement more advanced logic using peaks and valleys or price action patterns.
Let me know if you need any further adjustments!
Altcoin Season Indicator//@version=5
indicator("Altcoin Season Indicator", overlay=false)
// Input for Bitcoin Dominance (BTC.D)
btcDominance = request.security("CRYPTOCAP:BTC.D", "D", close)
altcoinMarketCap = request.security("CRYPTOCAP:TOTAL2", "D", close)
// Moving Averages for Trend Analysis
btcMA = ta.sma(btcDominance, 50)
altMA = ta.sma(altcoinMarketCap, 50)
// RSI for Momentum
btcRSI = ta.rsi(btcDominance, 14)
altRSI = ta.rsi(altcoinMarketCap, 14)
// Altcoin Season Conditions
btcBearish = btcDominance < btcMA and btcRSI < 50
altBullish = altcoinMarketCap > altMA and altRSI > 50
// Signal for Altcoin Season
altcoinSeason = btcBearish and altBullish
// Plotting
bgcolor(altcoinSeason ? color.new(color.green, 90) : na)
plot(btcDominance, color=color.red, title="BTC Dominance")
plot(altcoinMarketCap / 1e12, color=color.blue, title="Altcoin Market Cap (T)")
alertcondition(altcoinSeason, title="Altcoin Season Signal", message="Altcoin Season may be starting!")
Mongooses 10/2 yield spread (Enhanced) Mongoose's 10/2Y Yield Curve**
---
### **Description for TradingView Publishing**:
"Track the critical spread between the U.S. 10-Year and 2-Year Treasury Yields with **Mongoose's 10/2Y Yield Curve**. This indicator highlights positive (green) and inverted (red) yield curve conditions, with real-time spread values, dynamic alerts, and visual cues for yield curve inversion.
Perfect for monitoring macroeconomic trends and identifying recession signals. Stay ahead of the market with this clean and powerful tool designed by The Real Mongoose."
---
Cumulative TICK Session TrackerIntroduction
The Cumulative TICK Session Tracker is an advanced indicator that combines real-time cumulative TICK data with clear session markers to provide a complete view of intraday sentiment and trading session transitions. It visually highlights bullish and bearish market trends while resetting at the start of each new trading day.
How It Works
Cumulative TICK Calculation:
TICK values are accumulated bar-by-bar throughout the trading session.
At the start of each new session, the cumulative TICK resets to zero for a clean daily view.
Session Separators (EOD Lines):
Vertical dotted gray lines mark the start of each trading session (09:30 EST), making session transitions visually clear.
Bar Coloring:
Blue Bars: Indicate rising cumulative TICK values (bullish sentiment).
Red Bars: Indicate falling cumulative TICK values (bearish sentiment).
Optional SMA (Simple Moving Average):
A white SMA line can be applied to smooth out cumulative TICK trends, helping traders identify the broader sentiment.
Key Features
Cumulative TICK Calculation:
Accumulates TICK data intraday and resets at the beginning of each new session.
Session Separators (EOD Lines):
Automatically places vertical dotted lines to highlight the start of new trading days.
Clear Visuals:
Blue bars for rising cumulative TICK values.
Red bars for falling cumulative TICK values.
Optional Moving Average:
Smooth out cumulative data for better trend analysis with a configurable SMA.
Displayed Elements
Cumulative TICK Bars:
Blue: Positive momentum (rising cumulative values).
Red: Negative momentum (falling cumulative values).
Session Separators:
Vertical gray dotted lines that clearly mark the start of each trading session.
SMA Line (Optional):
A white moving average line for smoother cumulative TICK trends.
Use Cases
Intraday Market Sentiment:
Monitor the cumulative TICK for sustained upward or downward movement, signaling bullish or bearish trends.
Session Analysis:
Clearly distinguish daily TICK trends with session markers.
Trend Confirmation:
Use blue and red bars to visually confirm market momentum throughout the trading day.
Smoothed Trends:
Enable the optional SMA line to reduce noise and analyze broader intraday sentiment.
Advantages
Session Clarity: EOD lines cleanly separate daily sessions for easy analysis.
Visual Sentiment Detection: Instantly identify bullish (blue) and bearish (red) sentiment.
Customizable Moving Average: Optionally smooth cumulative trends for clearer signals.
Intraday Precision: Designed for real-time TICK analysis with automatic session resets.
Summary
The Cumulative TICK Session Tracker is a powerful tool for intraday traders, providing a clear visualization of cumulative market sentiment and session transitions. By combining TICK accumulation with session markers and intuitive bar coloring, it helps traders monitor intraday trends, identify momentum shifts, and make confident trading decisions.
Follow me for updates and more: @TraderNautilus 🚀
EMA 20 ve EMA 50 Kesişim EmA kesişimleri
ayı ve boğa oluşumları...
al veren pozisyonlar
sat veren pozisyonlar
ek olarak fisher le takip edilebilir zamanla.
Advanced Trend Indicator ANAnalysis of the Interaction of the EMA and SMA Lines:
Short-Term vs. Long-Term Trend:
The EMA reacts faster to price changes and is more “dynamic” in determining the short-term trend, while the SMA is more stable and is often used to detect long-term changes.
Example of Intersection:
Golden Cross (Golden Cross): When the short-term EMA (e.g., 50 periods) pierces the long-term SMA (e.g., 200 periods) from the bottom up. This is a classic signal indicating the beginning of an uptrend.
Death Cross (Death Cross): When the short-term EMA pierces the long-term SMA from the top down. This is a classic signal indicating the beginning of a downtrend.
Space Between EMA and SMA:
If the space between the EMA and the SMA is widening (the EMA is rising faster than the SMA), this may indicate that the uptrend is strengthening.
If the space between the EMA and SMA is shrinking, it may suggest that the trend is weakening and a change in direction is possible.
Summary:
The EMA is more sensitive to price changes and is used to analyze the short-term trend, reacting quickly to changes.
The SMA is more stable and gives a picture of the long-term direction of the market, so it is less susceptible to short-term price fluctuations.
Together, these two lines can help you better understand both short-term and long-term market direction and give signals to buy or sell based on their intersections and interactions.
Alert Kabi Family Unlimited Alarm indicator for any time frame and any type of currency, stock and index
اندییکاتور آلارم نامحدود برای هر تایم فریم و هر شاخص و ارز و سهام
Settings :
1- Before starting, clear all alarms in the trading view alarm section
2- Specify your alarm areas and currency pairs in the indicator settings section
3- Go to the trading view alarm section, click create alert, select the name of the indicator and click OK
4- Good Luck
T e L : @Ar3781
1- قبل از شروع تمام آلارم های تریدینگ ویو را پاک کنید
2- در قسمت تنظیمات اندیکاتور نواحی آلارم و جفت ارز خود را مشخص کنید
3- به قسمت الارم تریدینگ ویو رفته ایجاد هشدار را زده و اسم اندیکاتور را انتخاب کنید و اوکی کنید
4- مـــــــوفق بــــــاشـید
Candle Prediction with Timed Arrows - ShoaibA trading signal indicator based on 5 min (more accurate) time frame and 1 min time frame (less accurate) that uses RSI and Fast MA and Slow MA to give signals 10 seconds earlier than the closing of the current candle.
Market Breadth Ratio AnalyzerIntroduction
The Market Breadth Ratio Analyzer is designed to provide traders with a clear and visual representation of market breadth for the NYSE (New York Stock Exchange) and NASDAQ. By calculating the ratio of Up-Volume to Down-Volume as a percentage, it highlights whether the market is in a strong uptrend, downtrend, or a neutral state.
Purpose of the Indicator
Identify Trending Days: Quickly determine if the market is showing a strong uptrend or downtrend.
Filter Out Choppy Markets: Avoid indecisive, sideways market conditions.
Understand Market Breadth: Measure the balance between buying and selling volume to assess overall market strength.
Displayed Information
Table (at the top of the chart):
Market: The index being analyzed (NYSE and NASDAQ).
Ratio (%): The percentage of Up-Volume relative to the total traded volume.
Status:
Strong Uptrend: Ratio > 60%.
Strong Downtrend: Ratio < 40%.
Neutral: Ratio between 40% and 60%.
Plotted Lines:
Breadth Ratios for NYSE and NASDAQ are plotted as lines for easy trend tracking.
Blue: Indicates an uptrend (Ratio > 50%).
Red: Indicates a downtrend (Ratio < 50%).
Zero Line:
A grey zero-line acts as a visual reference for market breadth.
How It Works
Breadth Ratio Calculation:
The ratio is calculated as the percentage of Up-Volume relative to the total volume:
Ratio
=
Up-Volume
Up-Volume
+
Down-Volume
×
100
Ratio=
Up-Volume+Down-Volume
Up-Volume
×100
Status Determination:
Strong Uptrend: Ratio > 60%.
Strong Downtrend: Ratio < 40%.
Neutral: Ratio between 40% and 60%.
Visual Representation:
A dynamic table displays the calculated ratios and statuses in real-time.
Plotted lines for NYSE and NASDAQ allow for trend monitoring over time.
Use Cases
Identifying Trend Days:
If the NYSE Ratio is 65% and NASDAQ Ratio is 70%, this indicates a clear uptrend, making it ideal for long trades.
Recognizing Choppy Days:
If both Ratios fluctuate between 40% and 60%, it suggests indecision and a likely sideways market.
Detecting Divergences:
If NYSE shows a strong uptrend but NASDAQ remains neutral, it could indicate divergence between the indices.
Indicator Settings
Scale Factor: Normalizes volume data (default: 1,000,000).
Color Highlights:
Blue: Strong Uptrend.
Red: Strong Downtrend.
Zero Line: A grey line as a reference for trend direction.
Advantages
Quick and Clear Visualization of market breadth for NYSE and NASDAQ.
Simple Trend Identification with color-coded statuses.
Effective Trade Filtering by identifying trending versus choppy conditions.
Detect Market Divergences to gain deeper insights.
Summary
The Market Breadth Ratio Analyzer is an essential tool for traders looking to measure and analyze the strength of market trends using volume ratios. By combining precision with an intuitive visual display, it allows traders to quickly identify market conditions and make informed decisions.
Custom RSI & MACD Momentum Entry SignalsIndicator Explanation: Custom RSI & MACD Momentum Entry Signals
Introduction
The "Custom RSI & MACD Momentum Entry Signals" indicator combines the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD) to generate precise long and short entry signals. This indicator offers a powerful combination of overbought/oversold zones, momentum analysis, and RSI-EMA crossovers to assist traders in making better decisions.
How the Indicator Works
1. RSI Calculation and EMA
The RSI is calculated based on the closing price with an adjustable period (default: 14).
An Exponential Moving Average (EMA) of the RSI (default: 9) is plotted to identify RSI trend changes.
When the RSI crosses its EMA upwards, it signals a bullish impulse. Conversely, a downward cross indicates a bearish impulse.
2. MACD Calculation and Momentum Shifts
The MACD line is derived from the difference between a fast EMA (default: 12) and a slow EMA (default: 26).
The Signal line is the EMA of the MACD line (default: 9).
The MACD histogram represents the difference between the MACD line and the Signal line.
Momentum shifts are detected as follows:
Weakening Bearish: Histogram is negative but increasing (less bearish pressure).
Strengthening Bullish: Histogram is positive and rising.
Weakening Bullish: Histogram is positive but decreasing.
Strengthening Bearish: Histogram is negative and falling.
Signal Generation
Long Signals
A Long signal is triggered when all of the following conditions are met:
The RSI was previously below 30 (oversold condition).
MACD momentum shifts from "strengthening bearish" to "weakening bearish" or turns bullish.
The RSI crosses its EMA upwards.
A green upward arrow is displayed below the bar, and the background is lightly shaded green for additional visualization.
Short Signals
A Short signal is triggered when all of the following conditions are met:
The RSI was previously above 70 (overbought condition).
MACD momentum shifts from "strengthening bullish" to "weakening bullish" or turns bearish.
The RSI crosses its EMA downwards.
A red downward arrow is displayed above the bar, and the background is lightly shaded red for additional visualization.
Visual Elements
RSI and EMA:
The RSI is shown in purple.
The RSI EMA is shown in blue.
Horizontal lines at 30 (oversold) and 70 (overbought) provide additional context.
MACD:
The MACD line is displayed in blue.
The Signal line is displayed in orange.
The zero line is added for easier interpretation.
Signals:
Green arrows: Long signals.
Red arrows: Short signals.
Background color: Light green for long conditions, light red for short conditions.
Use Cases
This indicator is ideal for:
Trend Followers: Combining RSI and MACD allows traders to identify entry points during impulsive trend shifts.
Swing Traders: Long and short signals can be used at reversal points to capture short-term price movements.
Momentum Traders: By considering MACD momentum, the indicator provides additional confidence in signal generation.
Customizable Settings
The indicator provides flexible input options:
RSI Period (default: 14)
RSI EMA Period (default: 9)
MACD Parameters: Fast, slow, and signal EMAs can be adjusted.
Conclusion
The Custom RSI & MACD Momentum Entry Signals indicator is a powerful tool for traders looking to combine RSI and MACD to identify high-probability entry signals. With clear visualization and precise signal generation, traders can make decisions more efficiently and capitalize on market movements.
Cryptocurrency SentimentOverview
This script focuses on calculating and visualizing the sentiment difference between LONG positions and SHORT positions for a selected cryptocurrency pair on the Bitfinex exchange. It provides a clean and clear visual representation of the sentiment, helping traders analyze market behavior.
Key Features
Dynamic Symbol Selection:
The script automatically detects the cryptocurrency symbol from the chart (syminfo.basecurrency) and dynamically constructs the LONGS and SHORTS ticker symbols.
Works seamlessly for pairs like BTCUSD, ETHUSD, and others available on Bitfinex.
Sentiment Calculation:
The sentiment difference is calculated as:
Sentiment Difference=−1×(100− SHORTS/LONGS ×100)
LONGS : The total number of long positions.
SHORTS : The total number of short positions.
If SHORTS is 0, the value is safely skipped to avoid division errors.
Color Coding:
The script visually highlights the sentiment difference:
Green Line: Indicates that LONG positions are dominant (bullish sentiment).
Red Line: Indicates that SHORT positions are dominant (bearish sentiment).
Zero Reference Line:
A gray horizontal line at 0 helps users quickly identify the transition between bullish (above zero) and bearish (below zero) sentiment.
How It Works
Fetching Data:
The script uses request.security to fetch LONGS and SHORTS data at the current chart timeframe (timeframe.period) for the dynamically generated Bitfinex tickers.
Handling Data:
Missing or invalid data (NaN) is filtered out to prevent errors.
Extreme spikes or irregular values are safely avoided.
Visualization:
The sentiment difference is plotted with dynamic color coding:
Green when LONGS > SHORTS (bullish sentiment).
Red when SHORTS > LONGS (bearish sentiment).
Benefits
Market Sentiment Insight: Helps traders quickly identify if the market is leaning towards bullish or bearish sentiment based on actual LONG and SHORT position data.
Dynamic and Adaptive: Automatically adjusts to the selected cryptocurrency symbol on the chart.
Clean Visualization: Focuses solely on sentiment difference with color-coded signals, making it easy to interpret.
Best Use Cases
Trend Confirmation: Use the sentiment difference to confirm trends during bullish or bearish moves.
Market Reversals: Identify potential reversals when sentiment shifts from positive (green) to negative (red) or vice versa.
Sentiment Monitoring: Monitor the overall market bias for cryptocurrencies like BTC, ETH, XRP, etc., in real-time.
Sample Chart Output
Above Zero → Green Line: Bullish sentiment dominates.
Below Zero → Red Line: Bearish sentiment dominates.
Zero Line → Transition point for shifts in sentiment.
