Two MA Crossover Spot Strategy with Summary TableIndicator that uses 2 simple moving averages to buy and sell based on momentum (works best in trending markets, worst in stagnant markets). Summary table gives estimated returns.
For alerts, buy when FastMA crosses above the SlowMA and sell when it crosses below upon candle close.
移動平均線
[blackcat] L2 Six Round Positioning█ OVERVIEW
The script is an indicator designed to plot the direction (up, down, no change) of several moving averages (MA) on a separate chart, without overlaying the price data. It calculates Simple Moving Averages (SMA) for 3, 5, 8, 34, 60, 120, and 250 periods and uses conditional logic to determine the color and position of the plotted columns based on whether each MA is increasing, decreasing, or unchanged.
█ LOGICAL FRAMEWORK
The script is structured into three main sections:
1 — Input Parameters: None explicitly defined, but the script uses default settings for the indicator function.
2 — Calculations: Computes Simple Moving Averages (SMA) for seven different periods.
3 — Plotting: Uses conditional logic to plot columns representing the direction of each MA, with positions and colors indicating whether the MA is increasing, decreasing, or unchanged.
The flow of data is straightforward: the script calculates the SMAs, determines their direction, sets the appropriate color, and then plots the columns.
█ CUSTOM FUNCTIONS
• No custom functions are defined in this script. All calculations and plotting are done using built-in Pine Script functions such as ta.sma for SMA calculation and plot for plotting.
█ KEY POINTS AND TECHNIQUES
• Use of ta.sma: The script effectively uses the ta.sma function to calculate Simple Moving Averages for different periods.
• Conditional Logic: The script employs conditional logic (ternary operators) to determine the color and position of the plotted columns based on the direction of each MA.
• Plotting with plot: The plot function is used extensively to display the direction of each MA with different colors and positions.
• Color Transparency: The use of color.new with transparency (e.g., color.new(color.green, 50)) allows for visually distinct colors that are not too overpowering.
█ EXTENDED KNOWLEDGE AND APPLICATIONS
• Modifications: The script could be enhanced by adding input parameters to allow users to customize the periods of the moving averages, colors, and transparency levels.
• Extensions: Similar techniques could be applied to other types of moving averages (e.g., EMA, WMA) or to other technical indicators.
• Strategy Development: This indicator could serve as a component in a larger trading strategy by providing insights into the overall trend direction across multiple timeframes.
• Related Concepts: Understanding of moving averages, conditional logic, and plotting techniques in Pine Script would be beneficial for further development and customization of this script.
Daily MA Crossover SignalsI created a script that allows you to show up to 3 daily MA's and the crossovers. It's highly configurable. Hope you enjoy it!
I did try to make it multi-timeframe, but for some reason I didn't manage to get that work
Brahmastra VWAP//@version=5
indicator("VWAP", overlay=true)
// Calculate VWAP
vwap_value = ta.vwap(close)
// Plot VWAP with specific parameters
plot(series=vwap_value, color=color.blue, title="VWAP", linewidth=2)
ema_shortema 6 indikatorunun ema 18 i asagi yonlu kestigi mumu bulup altina diaomond koyar. bir sonraki mumun pullback olup olmadigini sorar .
juber page with Buy/Sell Signalsuse this to earn much money it is the best EMA indicator among all indicators available on trading view charts
EMA Trend & Inside Bar | TuanVungTauEMA Trend & Inside Bar | TuanVungTau
This indicator combines the power of Exponential Moving Averages (EMA) and Inside Bar detection to provide traders with comprehensive tools for analyzing trends and key price patterns. Designed for both trend-following and price action traders, it enables precision in identifying market conditions and potential trade opportunities.
Key Features
EMA Trend Analysis:
Plots up to 5 customizable EMAs with adjustable lengths (default: EMA 10, 20, 50, 100, 200).
Provides a clear visual trend background based on the relationship between EMA 1, EMA 2, and EMA 3:
Green Background: Uptrend (EMA 1 > EMA 2 > EMA 3).
Red Background: Downtrend (EMA 1 < EMA 2 < EMA 3).
Gray Background: Neutral (No clear trend).
Custom Moving Average (MA):
Allows users to plot a custom moving average (EMA, SMA, WMA, VWMA) with user-defined length and color.
Inside Bar Detection:
Automatically detects Inside Bar candlestick patterns (candles with lower highs and higher lows compared to the previous candle).
Highlights detected Inside Bars on the chart with a customizable color.
EMA Cross Alerts:
Detects and marks crossover and crossunder events between all EMA pairs (e.g., EMA 1 crossing EMA 2).
Provides visual circles at crossover points to help traders identify key moments.
Alerts for Key Events:
Notifies traders when a trend starts (Uptrend or Downtrend) or when an Inside Bar forms.
Alerts can be configured to align with specific trading strategies.
User-Friendly Customization:
Toggle visibility and customize colors for each EMA.
Adjust trend colors and transparency to suit personal preferences.
Trading Ideas
Trend-Following Strategy: Utilize the trend background and EMA alignment to identify strong trends.
Entry Example: Enter long trades when the background is green and short trades when the background is red.
Inside Bar Breakout: Use detected Inside Bars as potential breakout points.
Entry Example: Place a buy stop above the high or a sell stop below the low of the Inside Bar.
Crossover Confirmation: Combine EMA crossovers with trend background for confirmation.
Entry Example: Look for EMA 1 crossing EMA 2 upwards during a green trend background for stronger signals.
This indicator offers powerful, customizable tools to suit a variety of trading styles, enhancing both analysis and execution.
Developed with precision and passion by TuanVungTau | nhattuan.com
VWAP Direction HistogramThe ** VWAP Direction Histogram ** indicator is a powerful tool for traders looking to gauge the directional bias of the Volume Weighted Average Price (VWAP). VWAP is a critical metric that combines price and volume to provide a weighted average price, often used to identify institutional trading activity and support/resistance levels. This indicator builds upon the traditional VWAP by calculating its directional changes over a customizable lookback period, providing clear visual cues to traders through a color-coded histogram.
By identifying whether VWAP is rising or falling over the specified lookback period, this indicator helps traders determine the prevailing trend bias in the market. A positive VWAP direction suggests upward momentum and a bullish trend bias, while a negative direction indicates downward momentum and bearish sentiment. This information is further reinforced by coloring the chart candles based on the VWAP trend, enabling quick visual analysis and enhancing decision-making for trend-following strategies. Whether you're trading intraday or longer-term, the ** VWAP Direction Histogram ** offers an intuitive and effective way to align your trades with market trends.
ema_arkaplanEma6 ve Ema 18 ile saatlik grafikte yon tayini. ema6 saatlik grafikte ema 18 i yukari kiriyorsa arkaplan yesil, asagi kiriyorsa arkaplan kirmizi olur.
EMA 3 CryptoEMA 3 Crypto Indicator
Definition
The EMA 3 Crypto Indicator is a specialized tool designed for cryptocurrency traders to track trends and identify potential trading opportunities with precision. Utilizing three Exponential Moving Averages (EMAs) with lengths of 13, 25, and 55, this indicator provides insights into short, medium, and long-term price movements. Its configuration is optimized for the unique characteristics of the crypto market, such as high volatility and 24/7 trading, while remaining adaptable for use in other financial markets.
Purpose and Benefits
This indicator empowers traders by:
- Capturing Volatility: Reacts swiftly to sudden price changes, a common feature in crypto trading.
- Highlighting Trends: Clearly distinguishes bullish and bearish trends through the alignment of the EMAs.
- Supporting Strategic Decisions: Serves as a dynamic support or resistance level, enabling better timing for entries and exits.
Each EMA offers a specific perspective:
- EMA 13: Tracks short-term price momentum, ideal for fast-paced markets.
- EMA 25: Provides a balanced view of trend strength and corrections.
- EMA 55: Focuses on the overall market direction, filtering out noise from smaller price fluctuations.
Why "EMA 3 Crypto" for Cryptocurrencies?
1. Handles High Volatility: Perfectly suited for the rapid price swings of crypto markets.
2. Continuous Tracking: Designed for 24/7 market activity, ensuring traders stay informed at all times.
3. Dynamic Adjustments: Adapts to both trending and consolidating markets with its multi-EMA framework.
Visual Design
To enhance usability, each EMA is color-coded and styled for quick recognition:
- EMA 13: Deepskyblue, representing short-term trends.
- EMA 25: Orange, for medium-term analysis.
- EMA 55: Violet, focusing on long-term market direction.
The color scheme ensures clarity and helps traders spot crossovers and trend shifts effortlessly.
Applications
- Trend Confirmation: Align your trades with the dominant trend by observing EMA slopes and crossovers.
- Reversal Detection: Use crossover patterns to anticipate potential trend reversals.
- Support and Resistance: Identify dynamic price levels where the market may bounce or reject.
- Trade Validation: Combine the EMA 3 Crypto with volume or momentum indicators for enhanced accuracy.
Limitations
While effective in trending markets, the EMA 3 Crypto Indicator may produce false signals in choppy or consolidating conditions. It’s recommended to use it alongside other technical tools, such as RSI or MACD, to validate signals.
Summary
The EMA 3 Crypto Indicator is a powerful, versatile tool tailored for the fast-paced world of cryptocurrencies. By combining three EMAs with distinct timeframes, it offers a layered perspective on market trends, helping traders make data-driven decisions. Its intuitive design and robust performance make it an essential addition to any crypto trader’s toolkit, while its adaptability ensures it can be used effectively in other markets as well.
This updated description ties directly to the name EMA 3 Crypto and emphasizes its primary focus on cryptocurrency trading. Let me know if you'd like to refine it further!
Trend Areas• EMA selection for volatile price movement
• Shows the trend direction
• A wider area shows a stronger trend
• MA crosses show buy and sell
• MA acts as dynamic support or resistance
EMA CombinationIndikator "EMA Combination" ini menggunakan beberapa garis Exponential Moving Average (EMA) dengan panjang periode yang berbeda, dan dirancang untuk membantu trader mengidentifikasi sinyal beli dan jual berdasarkan pergerakan harga.
Berikut adalah penjelasan mengenai indikator ini untuk trader pemula:
1. Panjang EMA yang Digunakan:
EMA 21 (Biru): EMA dengan periode 21 digunakan untuk melihat pergerakan harga dalam jangka pendek.
EMA 50 (Merah): EMA dengan periode 50 digunakan untuk melihat pergerakan harga dalam jangka menengah.
EMA 100 (Oranye): EMA dengan periode 100 digunakan untuk melihat tren dalam jangka panjang.
EMA 200 (Ungu): EMA dengan periode 200 digunakan untuk memberikan gambaran tentang tren jangka panjang yang lebih luas.
2. Sinyal Beli dan Jual:
Indikator ini memberikan sinyal beli atau jual berdasarkan perpotongan (crossover) antar garis EMA yang berbeda. Berikut adalah beberapa jenis sinyal:
Bullish Crossover (Sinyal Beli): Terjadi ketika garis EMA dengan periode yang lebih pendek melintasi garis EMA dengan periode yang lebih panjang dari bawah ke atas. Ini menunjukkan potensi tren naik (bullish), dan sinyal beli akan muncul di bawah candlestick dengan label "Buy".
Bearish Crossover (Sinyal Jual): Terjadi ketika garis EMA dengan periode yang lebih pendek melintasi garis EMA dengan periode yang lebih panjang dari atas ke bawah. Ini menunjukkan potensi tren turun (bearish), dan sinyal jual akan muncul di atas candlestick dengan label "Sell".
3. Konfigurasi Pengaturan:
Trader dapat memilih untuk mengaktifkan atau menonaktifkan masing-masing EMA sesuai kebutuhan. Misalnya, jika trader ingin melihat hanya dua EMA (misalnya, EMA 21 dan EMA 50), mereka dapat menonaktifkan EMA 100 dan EMA 200.
4. Fungsi Crossover Antara EMA:
Crossover 1 (EMA 21 vs. EMA 50): Crossover pertama antara EMA 21 dan EMA 50 adalah sinyal penting untuk memulai analisis pergerakan harga.
Crossover 2 (EMA 50 vs. EMA 100): Crossover kedua memberikan konfirmasi tambahan tentang kekuatan tren.
Crossover 3 (EMA 100 vs. EMA 200): Crossover ketiga adalah sinyal yang lebih kuat untuk identifikasi tren jangka panjang.
5. Pentingnya Crossover di Trading:
Sinyal Beli: Saat EMA periode pendek (seperti EMA 21) melintas di atas EMA periode panjang (seperti EMA 50), itu sering menunjukkan awal dari tren naik (bullish).
Sinyal Jual: Saat EMA periode pendek melintas di bawah EMA periode panjang, itu menunjukkan kemungkinan tren turun (bearish).
6. Visualisasi:
Setiap sinyal beli atau jual akan ditandai dengan label "Buy" atau "Sell" di bawah atau di atas candlestick, yang memudahkan trader untuk melihat kapan waktu yang tepat untuk membeli atau menjual berdasarkan strategi crossover ini.
Ringkasan:
Indikator EMA Combination membantu trader pemula untuk mengenali sinyal beli dan jual dengan mengamati perpotongan antara beberapa garis EMA yang mewakili berbagai periode. Crossover antar garis EMA memberikan informasi tentang arah tren, apakah itu naik atau turun. Ini adalah alat yang berguna untuk membuat keputusan trading yang lebih terinformasi dengan memanfaatkan analisis teknikal berbasis pergerakan harga.
Duong_Sideway ZoneThis indicator is designed to identify sideway (ranging) zones on the price chart. It uses a Moving Average (MA) and criteria such as the number of price crosses over the MA, as well as breakout checks, to determine whether the market is in a sideway state. When a sideway zone is detected, it is highlighted with a yellow background on the chart.
Key Features:
MA Line: Uses a Moving Average (MA) as the basis for trend identification.
Sideway Threshold: Based on the number of price crosses over the MA within a specific period.
Breakout Check: Excludes zones from being considered sideway if a breakout occurs beyond the ATR threshold.
Visual Highlighting: Highlights sideway zones with a yellow background for easy identification.
This indicator is ideal for traders looking to identify ranging market phases to adjust their trading strategies accordingly.
For example, if within the last 20 candles, the number of times the closing price crosses the MA5 is greater than 4, it is considered a sideway zone, except in cases where the closing price of a recent candle has broken out of the highest/ lowest price of the previous 20 candles.
Multi SMA EMA VWAPMulti Moving Average Indicator, which includes EMA, SMA and VWAP.
It has 4 EMAs and 5 SMAs, for different trading strategies.
It adds the VWAP, HLC3, to complement the moving averages in low time frames and for scalping.
RSI-Adjusted 9SMAThis indicator integrates the Relative Strength Index (RSI) and a Simple Moving Average (SMA) to create a more robust trading signal by blending momentum and trend analysis. Here's how they work together:
How the RSI and SMA Work in Harmony
RSI (Momentum Indicator):
The RSI measures the speed and change of price movements, oscillating between 0 and 100.
Typically, an RSI value above 50 suggests bullish momentum, while values below 50 indicate bearish momentum.
The script further refines this by applying a 9-period EMA to the RSI. This smoothing process filters out noise, providing a clearer picture of momentum shifts.
SMA (Trend Indicator):
The SMA calculates the average price over a specific period (9 in this case), helping to smooth out price fluctuations and identify the overall trend.
By observing the SMA, traders can determine whether the market is trending upward, downward, or moving sideways.
Combining the Two for Stronger Signals:
The RSI EMA acts as a momentum filter. When it is above 50, it indicates the presence of bullish momentum. Under such conditions, the SMA turning blue provides a stronger confirmation of an uptrend.
Conversely, when the RSI EMA is below 50, it signals weakening momentum. The SMA turning white underlines the caution, suggesting potential bearish conditions or a lack of trend strength.
This combination ensures that traders are not just relying on the SMA's trend-following behavior but also factoring in the market's underlying momentum for more reliable entries and exits.
Why This Approach is Robust
Avoid False Signals:
The SMA alone can generate false signals in choppy or range-bound markets. By incorporating the RSI EMA, the script reduces the likelihood of acting on weak or non-committal trends.
Timing Entries and Exits:
When both the SMA and RSI EMA align (e.g., blue SMA and RSI EMA > 50), it provides a stronger case for entering trades. Similarly, misalignment (e.g., white SMA and RSI EMA ≤ 50) warns against entering during uncertain conditions.
Adapting to Market Conditions:
This dual approach captures both short-term momentum shifts (RSI EMA) and longer-term trend direction (SMA), making it useful across different market phases.
Practical Application
Bullish Setup:
RSI EMA > 50 + Blue SMA → Enter or stay in long positions.
Bearish Setup:
RSI EMA ≤ 50 + White SMA → Exit long positions or consider short opportunities.
This combination of indicators offers traders a balanced strategy that considers both the direction of the trend and the underlying momentum, resulting in more confident and timely decision-making.
Enhanced 20 SMA Signal BoxesEnhanced 20 SMA Signal Boxes
This indicator leverages the 20-period Simple Moving Average (SMA) to generate clear and actionable trading signals. Designed for traders looking to streamline their entry and exit decisions, the script provides a visual hierarchy with dynamic signal boxes and target levels.
Features:
Buy & Sell Signals:
Automatically detects when the price crosses above or below the 20 SMA and marks the signal candle with a yellow box for clear visualization of entry (top of the box) and risk (bottom of the box).
Dynamic Target Levels:
Three blue outlined boxes are generated for each signal to indicate profit-taking levels. The boxes dynamically adjust based on the signal candle’s range and come with customizable labels:
"Long Target" for buy signals
"Short Target" for sell signals
Alert System:
Get notified when the price enters or exits the signal candle or when target levels are reached.
Customization Options:
Adjust SMA color, thickness, and length.
Modify box opacity for better chart visibility.
Edit target labels and positionings to suit your trading style.
Risk/Reward Visualization:
The script calculates and displays the risk/reward ratio visually between the signal candle and the first target box.
Dynamic Styling:
Target boxes feature gradient shades to highlight increasing profit potential, and optional lines connect the signal candle to targets for organized visuals.
This indicator simplifies decision-making by providing clear signals and targets, making it suitable for day traders, swing traders, and scalpers alike.
Austin MTF EMA Entry PointsAustin MTF EMA Entry Points
Overview
The Austin MTF EMA Entry Points is a custom TradingView indicator designed to assist traders in identifying high-probability entry points by combining multiple time frame (MTF) analysis. It leverages exponential moving averages (EMAs) from the daily, 1-hour, and 15-minute charts to generate buy and sell signals that align with the overall trend.
This indicator is ideal for traders who:
Want to trade in the direction of the broader daily trend.
Seek precise entry points on lower time frames (1H and 15M).
Prefer using EMAs as their main trend-following tool.
How It Works
Daily Trend Filter:
The indicator calculates the 50 EMA on the daily chart.
The daily EMA acts as the primary trend filter:
If the current price is above the daily 50 EMA, the trend is bullish.
If the current price is below the daily 50 EMA, the trend is bearish.
Lower Time Frame Entry Points:
The indicator calculates the 20 EMA on both the 1-hour (1H) and 15-minute (15M) time frames.
Buy and sell signals are generated when the price aligns with the trend on all three time frames:
Buy Signal: Price is above the daily 50 EMA and also above the 20 EMA on both the 1H and 15M charts.
Sell Signal: Price is below the daily 50 EMA and also below the 20 EMA on both the 1H and 15M charts.
Visual and Alert Features:
Plot Lines:
The daily 50 EMA is plotted in yellow for easy identification of the main trend.
The 20 EMA from the 1H chart is plotted in blue, and the 15M chart's EMA is in purple for comparison.
Buy/Sell Markers:
Green "Up" arrows appear for buy signals.
Red "Down" arrows appear for sell signals.
Alerts:
Alerts notify users when a buy or sell signal is triggered, making it easier to act on trading opportunities in real-time.
How to Use the Indicator
Identify the Main Trend:
Check the relationship between the price and the daily 50 EMA (yellow line):
Only look for buy signals if the price is above the daily 50 EMA.
Only look for sell signals if the price is below the daily 50 EMA.
Wait for Lower Time Frame Alignment:
For a valid signal, ensure that the price is also above or below the 20 EMA (blue and purple lines) on both the 1H and 15M time frames:
This alignment confirms short-term momentum in the same direction as the daily trend.
Act on Signals:
Use the arrows as visual cues for entry points:
Enter long trades on green "Up" arrows.
Enter short trades on red "Down" arrows.
The alerts will notify you of these signals, so you don’t have to monitor the chart constantly.
Exit Strategy:
Use your preferred stop-loss, take-profit, or trailing stop strategy.
You can also exit trades if the price crosses back below/above the daily 50 EMA, signaling a potential reversal.
Use Cases
Swing Traders: Use the daily trend filter to trade in the direction of the dominant trend, while using 1H and 15M signals to fine-tune entries.
Day Traders: Leverage the 1H and 15M time frames to capitalize on short-term momentum while respecting the broader daily trend.
Position Traders: Monitor the indicator to determine potential reversals or significant alignment across time frames.
Customizable Inputs
The indicator includes the following inputs:
Daily EMA Length: Default is 50. Adjust this to change the length of the trend filter EMA.
Lower Time Frame EMA Length: Default is 20. Adjust this to change the short-term EMA for the 1H and 15M charts.
Time Frames: Hardcoded to "D", "60", and "15", but you can modify the script for different time frames if needed.
Example Scenarios
Buy Signal:
Price is above the daily 50 EMA.
Price crosses above the 20 EMA on both the 1H and 15M time frames.
A green "Up" arrow is displayed, and an alert is triggered.
Sell Signal:
Price is below the daily 50 EMA.
Price crosses below the 20 EMA on both the 1H and 15M time frames.
A red "Down" arrow is displayed, and an alert is triggered.
Strengths and Limitations
Strengths:
Aligns trades with the higher time frame trend for increased probability.
Uses multiple time frame analysis to identify precise entry points.
Visual signals and alerts make it easy to use in real-time.
Limitations:
May produce fewer signals in choppy or ranging markets.
Requires discipline to avoid overtrading when conditions are unclear.
Lag in EMAs could result in late entries in fast-moving markets.
Final Notes
The Austin MTF EMA Entry Points indicator is a powerful tool for traders who value multiple time frame alignment and trend-following strategies. While it simplifies decision-making, it is always recommended to backtest and practice proper risk management before using it in live markets.
Try it out and make smarter, trend-aligned trades today! 🚀
Hourly 20 EMA on 5m ChartThis indicator shows the hourly 20ema on any current time frame that is open on your charts
Spread Analysis (COIN/BTC)The Spread Analysis (COIN/BTC) indicator calculates the Z-score of the price ratio between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). It helps identify overbought or oversold conditions based on deviations from the historical mean of their price relationship.
Key Features:
Z-Score Calculation:
• Tracks the relative price ratio of NASDAQ:COIN to $BTC.
• Compares the current ratio to its historical average, highlighting extreme overvaluation or undervaluation.
• Buy and Sell Signals:
• Buy Signal: Triggered when the Z-score is less than -2, indicating NASDAQ:COIN may be undervalued relative to $BTC.
• Sell Signal: Triggered when the Z-score exceeds 2, suggesting NASDAQ:COIN may be overvalued relative to $BTC.
• Dynamic Z-Score Visualization:
• Blue line plots the Z-score over time.
• Dashed lines at +2 and -2 mark overbought and oversold thresholds.
• Green and red triangles highlight actionable buy and sell signals.
Use Case:
This indicator is ideal for identifying relative valuation opportunities between NASDAQ:COIN and $BTC. Use it to exploit divergences in their historical relationship and anticipate potential reversions to the mean.
Limitations:
• Best suited for range-bound markets; may produce false signals in strongly trending conditions.
• Assumes a consistent correlation between NASDAQ:COIN and CRYPTOCAP:BTC , which may break during independent price drivers like news or earnings.
EMA with VWAPThis indicator combines two popular technical analysis tools: the Exponential Moving Average (EMA) and the Volume Weighted Average Price (VWAP), into a single, powerful overlay on your chart. It allows you to analyze both trend direction using the EMA and institutional interest and fair value using the VWAP, all while saving valuable indicator slots on your TradingView layout.
Key Features:
- Exponential Moving Average (EMA):
- Calculates the EMA based on a user-defined Length and Source (e.g., close, open, hl2).
- Includes an optional Offset to shift the EMA line forward or backward on the chart.
- Offers a Smoothing Line feature, allowing you to further smooth the EMA using various moving average types (SMA, EMA, SMMA (RMA), WMA, VWMA) with a customizable Smoothing Length.
- EMA and Smoothing Line can be toggled on or off.
- EMA and Smoothing Line have independent offset capabilities.
Volume Weighted Average Price (VWAP):
-Calculates the VWAP, a crucial indicator that reflects the average price weighted by volume.
- Offers a wide range of Anchor Periods for resetting the VWAP calculation, including: Session, Week, Month, Quarter, Year, Decade, Century, Earnings, Dividends, and Splits.
- Includes an optional Offset to shift the VWAP line.
- Option to Hide VWAP on 1D or Above timeframes to focus on intraday analysis.
- Provides up to three customizable Standard Deviation Bands above and below the VWAP, visually representing volatility and potential support/resistance levels.
- Bands can be calculated using either "Standard Deviation" or "Percentage" methods.
- Bands can be turned on or off independently.
How to Use:
- EMA: Use the EMA to identify the overall trend direction. An upward-sloping EMA suggests an uptrend, while a downward-sloping EMA suggests a downtrend. The Smoothing Line can help confirm the EMA's trend.
- VWAP: The VWAP acts as a benchmark for the "fair" price of an asset during the selected anchor period. Prices above the VWAP may indicate bullish sentiment, while prices below may indicate bearish sentiment.
- Bands: The Standard Deviation Bands can help identify potential overbought and oversold conditions. Price reaching the upper bands might suggest overbought levels, while price reaching the lower bands might suggest oversold levels.
Customization:
- The indicator offers extensive customization through its settings:
- EMA Settings: Adjust the EMA length, source, offset, smoothing method, and smoothing length.
- VWAP Settings: Choose the VWAP anchor period, source, offset, and whether to hide it on daily or higher timeframes.
- VWAP Bands Settings: Control the visibility, multiplier, and calculation method for each of the three standard deviation bands.
Benefits:
- Consolidated Analysis: Combines two essential indicators into one, providing a comprehensive view of price action and volume.
- Saves Indicator Slots: Frees up valuable indicator slots on your TradingView chart.
- Highly Customizable: Offers a wide range of settings to tailor the indicator to your specific trading style and preferences.
- Visual Clarity: Clearly displays the EMA, VWAP, and optional bands on the chart, facilitating quick and easy analysis.
This combined EMA and VWAP indicator is a valuable tool for traders of all levels, offering a powerful and flexible way to analyze market trends and identify potential trading opportunities.
20/50 SMA Cross 200 SMAThis Pine Script code is designed to identify and visualize crossovers of two shorter-term Simple Moving Averages (SMAs), a 20-period SMA and a 50-period SMA, with a longer-term 200-period SMA on a price chart. It also includes alerts for these crossover events. Here's a breakdown:
**Purpose:**
The core idea behind this script is to detect potential trend changes. Crossovers of shorter-term moving averages over a longer-term moving average are often interpreted as bullish signals, while crossovers below are considered bearish.
**Key Components:**
1. **Moving Average Calculation:**
* `sma20 = ta.sma(close, 20)`: Calculates the 20-period SMA of the closing price.
* `sma50 = ta.sma(close, 50)`: Calculates the 50-period SMA of the closing price.
* `sma200 = ta.sma(close, 200)`: Calculates the 200-period SMA of the closing price.
2. **Crossover Detection:**
* `crossUp20 = ta.crossover(sma20, sma200)`: Returns `true` when the 20-period SMA crosses above the 200-period SMA.
* `crossDown20 = ta.crossunder(sma20, sma200)`: Returns `true` when the 20-period SMA crosses below the 200-period SMA.
* Similar logic applies for `crossUp50` and `crossDown50` with the 50-period SMA.
3. **Recent Crossover Tracking (Crucial Improvement):**
* `lookback = 7`: Defines a lookback period of 7 bars.
* `var bool hasCrossedUp20 = false`, etc.: Declares `var` (persistent) boolean variables to track if a crossover has occurred *within* the last 7 bars. This is the most important correction from previous versions.
* The logic using `ta.barssince()` is the key:
* If a crossover happens (`crossUp20` is true), the corresponding `hasCrossedUp20` is set to `true`.
* If no crossover happens on the current bar, it checks if a crossover happened within the last 7 bars using `ta.barssince(crossUp20) <= lookback`. If so, it keeps `hasCrossedUp20` as `true`. After 7 bars, it becomes `false`.
4. **Plotting Crossovers:**
* `plotshape(...)`: Plots circles on the chart to visually mark the crossovers.
* Green circles below the bars for bullish crossovers (20 and 50).
* Red circles above the bars for bearish crossovers (20 and 50).
* Different shades of green/red (green/lime, red/maroon) distinguish between 20 and 50 SMA crossovers.
5. **Plotting Moving Averages (Optional but Helpful):**
* `plot(sma20, color=color.blue, linewidth=1)`: Plots the 20-period SMA in blue.
* Similar logic for the 50-period SMA (orange) and 200-period SMA (gray).
6. **Alerts:**
* `alertcondition(...)`: Triggers alerts when crossovers occur. This is essential for real-time trading signals.
**How it Works (in Simple Terms):**
The script continuously calculates the 20, 50, and 200 SMAs. It then monitors for instances where the 20 or 50 SMA crosses the 200 SMA. When such a crossover happens, a colored circle is plotted on the chart, and an alert is triggered. The key improvement is that it remembers if a crossover occurred in the last 7 bars and continues to display the circle during that period.
**Use Case:**
Traders use this type of indicator to identify potential entry and exit points in the market. A bullish crossover (shorter SMA crossing above the longer SMA) might be a signal to buy, while a bearish crossover might be a signal to sell.
**Key Improvements over Previous Versions:**
* **Correct Lookback Implementation:** The use of `ta.barssince()` and `var` variables is the correct and efficient way to check for crossovers within a lookback period. This fixes the major flaw in earlier versions.
* **Clear Visualizations:** The use of `plotshape` with distinct colors makes it easy to distinguish between 20 and 50 SMA crossovers.
* **Alerts:** The inclusion of alerts makes the script much more practical for real-time trading.
This improved version provides a robust and useful tool for identifying and tracking SMA crossovers.
FIR Low Pass Filter Suite (FIR)The FIR Low Pass Filter Suite is an advanced signal processing indicator that applies finite impulse response (FIR) filtering techniques to price data. At its core, the indicator uses windowed-sinc filtering, which provides optimal frequency response characteristics for separating trend from noise in financial data.
The indicator offers multiple window functions including Kaiser, Kaiser-Bessel Derived (KBD), Hann, Hamming, Blackman, Triangular, and Lanczos. Each window type provides different trade-offs between main-lobe width and side-lobe attenuation, allowing users to fine-tune the frequency response characteristics of the filter. The Kaiser and KBD windows provide additional control through an alpha parameter that adjusts the shape of the window function.
A key feature is the ability to operate in either linear or logarithmic space. Logarithmic filtering can be particularly appropriate for financial data due to the multiplicative nature of price movements. The indicator includes an envelope system that can adaptively calculate bands around the filtered price using either arithmetic or geometric deviation, with separate controls for upper and lower bands to account for the asymmetric nature of market movements.
The implementation handles edge effects through proper initialization and offers both centered and forward-only filtering modes. Centered mode provides zero phase distortion but introduces lag, while forward-only mode operates causally with no lag but introduces some phase distortion. All calculations are performed using vectorized operations for efficiency, with carefully designed state management to handle the filter's warm-up period.
Visual feedback is provided through customizable color gradients that can reflect the current trend direction, with optional glow effects and background fills to enhance visibility. The indicator maintains high numerical precision throughout its calculations while providing smooth, artifact-free output suitable for both analysis and visualization.
