BeautifulStochRSIBeautifulStochRSI: A Unique and Clear Approach to Stochastic RSI
Introducing the BeautifulStochRSI, an colorfull approach to the popular Stochastic RSI indicator. This script goes beyond the standard representation by offering visually distinct and intuitive signals to enhance your trading experience.
The BeautifulStochRSI is ideal for traders who value both precision and simplicity. It combines functional enhancements with a polished design, ensuring that crucial market insights are presented clearly and effectively. Created by rektbyhielke, this script leverages the capabilities of Pine Script™ v5 for optimal performance.
By sharing this script, the aim is not only to provide a practical trading solution but also to inspire others to create indicators that are both beautiful and efficient.
the script includes fully customizable parameters for RSI length, stochastic length, and smoothing factors, allowing traders to tailor the indicator to their specific strategies. Overbought and oversold zones are marked with dots at levels 80 and 20, complemented by a subtle teal background fill to emphasize these areas.
Indicators and strategies
Volume-Based Candle Coloringk线会根据当前成交量高低产生渐变色,帮助你更轻松识别重要的k线。
请使用空心蜡烛图,否则该指标无法显示。
The candlestick colors will transition based on the current trading volume, making it easier for you to identify significant candlesticks.
Please use hollow candlesticks; otherwise, this indicator will not display properly.
Stock_Cloud-EMA,VWAP,ST Indicator_V1Stock_Cloud V1 - EMA, VWAP, SuperTrend Strategy Indicator
This indicator combines three powerful technical indicators (EMA, VWAP, and SuperTrend) to create a comprehensive trading system that helps identify high-probability trading setups when all components align.
Strategy Components & Logic:
• EMA (Exponential Moving Average): Acts as a dynamic support/resistance and trend direction indicator
• VWAP (Volume Weighted Average Price): Provides important institutional price levels and volume-based trend strength
• SuperTrend: Offers trend direction and potential reversal points
Why These Components Work Together:
1. EMA filters out market noise while maintaining responsiveness to price changes
2. VWAP adds volume-based price validation, especially useful for intraday trading
3. SuperTrend confirms trend direction and potential reversal points
4. When all three indicators align, it creates a high-probability setup
Signal Generation:
• Bullish Signal: Generated when price crosses above all three indicators (EMA, VWAP, and SuperTrend turns bullish)
• Bearish Signal: Generated when price crosses below all three indicators (EMA, VWAP, and SuperTrend turns bearish)
• Background color changes help visualize the current market condition
Settings:
- EMA Length: 20 (default, adjustable)
- SuperTrend Period: 10 (default, adjustable)
- SuperTrend Multiplier: 3.0 (default, adjustable)
How to Use:
1. Look for potential entries when all three indicators align
2. Small triangles mark key entry points when alignment occurs
3. Use background color as additional confirmation
4. Monitor price action relative to all three indicators for exit signals
Best Timeframes:
Works well on all timeframes, but particularly effective on 5-minute to daily charts for stocks and indices.
Note: This indicator combines traditional technical analysis tools in a unique way to provide clear, actionable signals. Always use proper risk management and consider other factors like market conditions and support/resistance levels.
Created by Stock_Cloud
Version 2.0
EMA 20/50/100/200 Prices, Supertrend, VWAP - Jitendra SaxenaPine script for EMA 20/50/100/200 Prices, Supertrend, VWAP.
US/JP Factor/Sector Performance RankingThis indicator is designed to help you easily understand the strengths and weaknesses of different factors and sectors in the U.S. stock market. It looks at various ETFs, ranks their performance over a specific period (20 days by default), and shows the results visually.
= How the Ranking Works
The best-performing rank is shown as -1, with lower ranks as -2, -3, -4, and so on. This setup makes it easy to see rank order in TradingView’s default view.
If you turn on the “Inverse” setting, ranks will be shown as positive numbers in order (e.g., 1, 2, 3…). In this case, it’s recommended to reverse the TradingView scale for better understanding.
= How the Indicator Reacts to Market Conditions
- Normal Market Conditions
Certain factors or sectors often stay at the top rank. For example, during the rallies at the start of 2024 and in May, the Momentum factor performed well, showing a risk-on market environment.
On the other hand, sectors at the bottom rank also tend to stay in specific positions.
- Market Tops
Capital flows within sectors slow down, and top ranks begin to change frequently. This may suggest a market turning point.
- Bear Markets or High Volatility
Rankings become more chaotic in these conditions. These large changes can help you understand market sentiment and the level of volatility.
= Way of using the Indicator
You can use this indicator in the following ways:
- To apply sector rotation strategies.
- To build positions after volatile markets calm down.
- To take long positions on strong elements (higher ranks) and short positions on weaker ones (lower ranks).
= Things to Keep in Mind
It’s a Lagging Indicator
This indicator calculates rankings using the past 20 days of data. It doesn’t provide signals for the future but is a tool for analyzing past performance. To predict the market, you should combine this with other tools or leading indicators.
However, since trends in capital flows often continue, this indicator can help you spot those trends.
= Customization
This indicator is set up for U.S. and Japanese stock markets. However, you can customize it for other markets by changing the ticker and label description in the script.
==Japanese Description==
このインジケーターは、米国株市場におけるファクターやセクターの強弱を直感的に把握するために設計されています。
各ETFを参照し、特定期間(デフォルトでは20日間)のパフォーマンスを順位付けし、それを視覚的に表示します。
= インジケーターの特徴
- ランク付けの仕様
ランク1位は-1で表され、順位が下がるごとに-2、-3、-4…と減少します。この仕様により、TradingViewの標準状態でランクの高低を直感的に把握できるようにしました。
さらに、Inverse設定をONにすると、1位から順に正の値(例: 1, 2, 3…)で表示されるようになります。この場合、TradingViewのスケールを反転させることを推奨します。
= 市況とインジケーターの動き
- 平常時の市況
特定のファクターやセクターがランク1位を維持することが多いです。
例えば、2024年の年初や同年5月の上昇相場では、Momentumファクターが効果を発揮し、リスクオンの市場環境であったことを示しています。
一方、最下位に位置するセクターも特定の順位を維持する傾向があります。
- 天井圏の市況
セクター内の資金流入や流出が停滞し、上位ランクの変動が起こり始めます。これが市場の転換点を示唆する場合があります。
- 下落相場や荒れた市況
ランク順位が大きく乱れることが特徴です。この変動の大きさは、市況の雰囲気やボラティリティの高さを感じ取る材料として活用できます。
= 活用方法
このインジケーターは以下のような投資戦略に役立てることができます:
- セクターローテーションを活用した投資戦略
- 荒れた相場が落ち着いたタイミングでのポジション構築
- 強い要素(ランク上位)のロング、弱い要素(ランク下位)のショート
= 注意点
- 遅行指標であること
本インジケーターは、過去20日間のデータを基にランクを算出します。そのため、先行的なシグナルを提供するものではなく、過去のパフォーマンスに基づいた分析ツールです。市場を先回りするには、別途先行指標や分析を組み合わせる必要があります。
ただし、特定のファクターやセクターへの資金流入・流出が継続する傾向があるため、これを見極める手助けにはなります。
= カスタマイズについて
このインジケーターは米国・日本株市場に特化しています。ただし、他国のファクターやセクターのETFや指数が利用可能であれば、スクリプト内のtickerとlabel descriptionを変更することでカスタマイズが可能です。
WSNB Multi-Period EMA BundleThis indicator combines multiple exponential moving averages (EMAs) to provide a comprehensive trend analysis system. It's designed to help traders identify trend direction and potential support/resistance levels across different timeframes.
Key Features:
- Multiple EMAs (15,30,60,90,120,180,360,540,720,1080)
- Color-coded for easy visualization
- Extended price lines for better trend identification
- Optimized for trend following and support/resistance analysis
How it Works:
- White EMA(15): Short-term trend indicator
- Yellow EMA(30): Key support/resistance level
- Orange EMA(60): Medium-term trend
- Purple EMA(90): Additional confirmation
- Light Purple EMA(120): Major trend support
- Cyan EMA(180): Long-term trend indicator
- Green EMA(360): Major support/resistance
- Light Green EMA(540): Extended trend
- Red EMA(720): Major trend confirmation
- Blue EMA(1080): Super long-term trend
Usage Guide:
1. Multiple EMAs alignment indicates trend strength
2. Price crossing EMAs suggests potential trend changes
3. EMA clusters often act as support/resistance zones
4. Extended price lines help identify future price targets
quick scalping Support and Resistanceworks best for 1 minute and 5 minute timeframe it draws out key support and resistance levels that are most likely to be respected
as always do your own technical analysis this is just a tool to help for fast scalping ;)
Estrategia con EMA 50 y otros indicadoresIndicadores Ema de 50 , BB y trade meter . intente a añadir un RSI para detectar el sobre compra o venta pero me daba muchos errores y al final lo quite . La estrategia funciona mejor en mercado tendencial
[SGM Auto Regressiv - significant lags only]This Pine Script™ is designed for traders seeking advanced statistical analysis based on autoregressive (AR) models, with automatic filtering of significant lags according to a customizable confidence threshold.
Key Features:
AR(p) Model with Significance Filtering:
Only statistically significant lags (based on the selected confidence level) are included in the model calculations.
Coefficient Weighting Options:
Uniform weighting.
Weighting based on the t-statistic.
Visualization of Key Indicators:
Dynamic plotting of autoregressive values, upper and lower bounds (based on standard deviation).
Buy ("Buy") and Sell ("Sell") signals when values exceed the defined bounds.
Robust Analysis:
Calculation of statistical parameters: T-stat, p-value, skewness, kurtosis, r², and the Jarque-Bera test to assess the robustness and normality of residuals.
Summary of results displayed in a visual table for simplified interpretation.
Interactive Tables:
Display of lags, coefficients, t-statistics, p-values, and their significance via a dynamic table.
Overall robustness indicator and interpretation of results ("Good," "Non-significant," etc.).
Easy Customization:
Adjustable confidence level (90% to 99%).
Configurable lengths for moving average and standard deviation to fine-tune signal thresholds.
Benefits for Traders:
Effortless Analysis:
Automatically identifies significant relationships between past and present values, removing unnecessary assumptions.
Enhanced Accuracy:
Filters signals based on rigorous statistical criteria to avoid false signals.
Clear Visualization:
Interactive tables and plots to quickly understand critical parameters.
Default Configuration:
Confidence level: 95%.
Lag weighting: Uniform.
Moving average length: 20 periods.
Standard deviation length: 15 periods.
Usage Recommendations:
Ideal for analyzing volatile assets or identifying potential reversal zones.
Use alongside other indicators to confirm signals.
Multi-Timeframe Volume-Weighted RSIA multiple timeframe volume-weighted RSI.
Blue Line = Current Time Frame
Orange Line = Select your desired Time Frame
e.g. Blue = Daily, Orange = Weekly
1. Incorporates Market Commitment
Value: By factoring in volume, the volume-weighted RSI captures the intensity of trading activity behind price movements.
Why it’s useful:
Regular RSI measures price momentum but does not differentiate between moves with high or low trading activity.
A volume-weighted RSI assigns greater importance to price changes occurring on high volume, reflecting stronger market conviction.
2. Improved Signal Reliability
Value: Signals generated by a volume-weighted RSI (e.g., overbought or oversold conditions) may be more reliable because they account for the level of trader participation.
Why it’s useful:
Low-volume price movements often result in false signals or "noise."
A volume-weighted RSI helps filter out such noise, reducing the likelihood of false breakouts or fake reversals.
3. Better Divergence Detection
Value: Divergences between price action and the RSI (bullish or bearish divergences) are more meaningful when confirmed by volume.
Why it’s useful:
Regular RSI might show divergence in price momentum, but this divergence might lack substance if the underlying volume is weak.
A volume-weighted RSI ensures that divergence signals align with periods of significant market participation.
4. Enhanced Trend Analysis
Value: Trends supported by strong volume are given more weight, helping traders better identify and follow trends.
Why it’s useful:
Regular RSI might show overbought or oversold signals prematurely during strong trends.
Volume-weighted RSI considers whether trends are backed by significant market activity, helping avoid early exits.
5. More Meaningful Overbought/Oversold Levels
Value: Levels like 70 (overbought) and 30 (oversold) are more credible when supported by volume.
Why it’s useful:
In a regular RSI, overbought or oversold levels might occur on light trading, leading to false reversals.
A volume-weighted RSI ensures these levels are triggered by substantial market participation, increasing their reliability.
Practical Applications:
Trend Confirmation: Use the volume-weighted RSI to confirm whether momentum in a trend is supported by strong participation.
Divergence Spotting: Identify divergences with more confidence by prioritizing those with volume support.
Filtering False Breakouts: Avoid entering trades during weak volume phases by focusing on volume-weighted RSI signals.
Limitations:
Market Type Dependency: Its usefulness may diminish in low-volume assets or markets where volume data is unavailable (e.g., forex).
Trading the TrendTrading the Trend Indicator by Andrew Abraham (TASC, 1998)
The Trading the Trend indicator, developed by Andrew Abraham, combines volatility and trend-following principles to identify market direction. It uses a 21-period weighted average of the True Range (ATR) to measure volatility and define uptrends and downtrends.
Calculation: The True Range (highest high minus lowest low) is smoothed using a 21-period weighted moving average. This forms the basis for the trend filter, setting dynamic thresholds for trend identification.
Uptrend: Higher highs are confirmed when price stays above the upper threshold, signaling long opportunities.
Downtrend: Lower lows are identified when price stays below the lower threshold, favoring short positions.
This system emphasizes trading only in the direction of the prevailing trend, filtering out market noise and focusing on sustained price movements.
The trendline changes her color. When there is an uptrend the trendline is blue and when the trend is downward the trendline is yellow.
Buy and Sell Signal at 50% Retracement, Based on MANDO MODELthe sell is taking out a previous high. leave some runners and practice safe trading.
Explanation of Behavior:
When the price retraces 50% of the defined range (from the low to high), a Buy signal is triggered.
After the Buy signal, if the price moves above the previous high (after retracement), a Sell signal is triggered.
Once a Sell signal is triggered, the range is reset, and a new range needs to form before another signal can be triggered.
Test this:
Apply the script to your chart.
Check for Buy signals when the price crosses the 50% retracement level.
Sell signals will trigger once the price breaks above the previous high after the retracement phase.
Ensure that the signals are plotted as arrows on the chart and that the background color changes to indicate Buy or Sell.
Alerts Setup:
To set up alerts:
Right-click on the chart and select Add Alert.
For Buy Signal: Choose the condition Buy and Sell Signal at 50% Retracement with Top Break > Buy Signal.
For Sell Signal: Choose the condition Buy and Sell Signal at 50% Retracement with Top Break > Sell Signal.
Set your preferred alert type (popup, email, etc.).
Click Create to set the alert.
SMA with Colored Areas and time frame
Here are the key changes in this version:
Added color inputs for SMA when it's going up (smaUpColor) and down (smaDownColor).
Added an opacity control for the SMA line (smaOpacity).
Implemented logic to determine the SMA direction by comparing the current SMA value to its previous value.
This script now allows users to:
Choose colors for each fill zone (above SMA, below SMA, and neutral) and adjust their opacities.
Set the size of the neutral zone.
Choose colors for the SMA line when it's rising or falling.
Adjust the opacity of the SMA line independently.
These additions provide even greater flexibility in customizing the visual appearance of the indicator, allowing users to highlight the SMA direction and adjust the prominence of various elements to suit their analysis needs.
Checklist By TAZFX with Trade ScoreTrading Checklist is a customizable indicator designed for traders who want to stay disciplined and stick to their trading rules. Using this indicator, you can easily create and display your own personalized checklist of trading rules directly on your TradingView chart.
1. Customizable Settings:
• Positioning : Place the table in one of nine positions on the chart (e.g., bottom left, top right).
• Header : Modify the banner text, size, and color.
• Row Content : Define text for each row and control visibility.
• Appearance : Adjust text and background colors.
2. Checklist Table:
•Displays up to 8 rows with checkboxes (✅/❌) and custom labels for trade evaluation.
•Useful for tracking whether specific trade conditions or rules are met.
3. Trade Score Calculation:
•The Trade Score is a percentage that shows how many of your checklist items are checked compared to the total visible items.
5, 15, and 60-Minute 20-Bar EMAs by Al BrooksAl Brooks Setup
5, 15, and 60-Minute 20-Bar EMAs by Al Brooks
60-Minute EMA on 5-Minute Chart//@version=5
indicator("60-Minute EMA on 5-Minute Chart", overlay=true)
// Input for the EMA length
length = input.int(20, title="EMA Length")
// Calculate the 60-minute EMA
ema60 = ta.ema(close, length * 12) // 12 five-minute bars = 60 minutes
// Plot the 60-minute EMA
plot(ema60, color=color.red, title="60-Min EMA")
Liquidity Levels [LuxAlgo]ошибка связана с тем, что Pine Script версии 5 требует, чтобы блоки кода, такие как функции, циклы или условные конструкции, были четко ограничены локальными областями видимости (local scopes). В Pine Script V5 для таких структур, как if, for, и while, внутри блока должны быть переменные или выражения, ограниченные текущей областью видимости.
исправим код, добавив недостающие структуры и изменив его в соответствии с этим правилом.
DEMA 60 ve EMA 200 KesişimleriKesinlikle cok işinize yarayacak bir kod daha paylasmanın haklı gururunu yaşıyorum.Yavaş ama garanti sayılacak nitelikte sinyal üreten bu sistem kazanmanın diğer adı olarak hafızanıza kazınacak.İyi günlerde kullanın.
Buying and Selling PressureThis indicator estimates and visualizes the buying and selling pressure within each bar by distributing the volume based on where the closing price falls within the bar's range. It calculates cumulative buying and selling volumes over the last 10 bars and plots these values, allowing traders to assess market sentiment and potential shifts in momentum.
This indicator provides valuable insights into market dynamics by estimating buying and selling pressures over a set period. By visualizing these pressures, you can enhance your understanding of market sentiment and improve decision-making processes. It's most effective when used alongside other forms of analysis, such as price action, support and resistance levels, and additional technical indicators.
Note: Always thoroughly test any new indicator or trading strategy before applying it to live trading. Understanding how it behaves under different market conditions ensures it aligns with your trading objectives and risk management practices.
Forex Market Sessions (IST) Kavita_trader//@version=5
indicator("Forex Market Sessions (IST)", overlay=true)
// Input for session start and end times in IST (Indian Standard Time)
sydney_open_hour = input.int(5, "Sydney Open Hour", minval=0, maxval=23)
sydney_open_minute = input.int(30, "Sydney Open Minute", minval=0, maxval=59)
sydney_close_hour = input.int(14, "Sydney Close Hour", minval=0, maxval=23)
sydney_close_minute = input.int(30, "Sydney Close Minute", minval=0, maxval=59)
tokyo_open_hour = input.int(5, "Tokyo Open Hour", minval=0, maxval=23)
tokyo_open_minute = input.int(30, "Tokyo Open Minute", minval=0, maxval=59)
tokyo_close_hour = input.int(14, "Tokyo Close Hour", minval=0, maxval=23)
tokyo_close_minute = input.int(30, "Tokyo Close Minute", minval=0, maxval=59)
london_open_hour = input.int(12, "London Open Hour", minval=0, maxval=23)
london_open_minute = input.int(30, "London Open Minute", minval=0, maxval=59)
london_close_hour = input.int(21, "London Close Hour", minval=0, maxval=23)
london_close_minute = input.int(30, "London Close Minute", minval=0, maxval=59)
new_york_open_hour = input.int(22, "New York Open Hour", minval=0, maxval=23)
new_york_open_minute = input.int(30, "New York Open Minute", minval=0, maxval=59)
new_york_close_hour = input.int(7, "New York Close Hour", minval=0, maxval=23)
new_york_close_minute = input.int(30, "New York Close Minute", minval=0, maxval=59)
// Input for session colors
sydney_color = input.color(color.blue, "Sydney Session Color")
tokyo_color = input.color(color.purple, "Tokyo Session Color")
london_color = input.color(color.green, "London Session Color")
new_york_color = input.color(color.red, "New York Session Color")
// Calculate session start and end times in IST (Indian Standard Time)
sydney_open = timestamp("Asia/Kolkata", year, month, dayofmonth, sydney_open_hour, sydney_open_minute)
sydney_close = timestamp("Asia/Kolkata", year, month, dayofmonth, sydney_close_hour, sydney_close_minute)
tokyo_open = timestamp("Asia/Kolkata", year, month, dayofmonth, tokyo_open_hour, tokyo_open_minute)
tokyo_close = timestamp("Asia/Kolkata", year, month, dayofmonth, tokyo_close_hour, tokyo_close_minute)
london_open = timestamp("Asia/Kolkata", year, month, dayofmonth, london_open_hour, london_open_minute)
london_close = timestamp("Asia/Kolkata", year, month, dayofmonth, london_close_hour, london_close_minute)
new_york_open = timestamp("Asia/Kolkata", year, month, dayofmonth, new_york_open_hour, new_york_open_minute)
new_york_close= timestamp("Asia/Kolkata", year, month, dayofmonth + 1, new_york_close_hour, new_york_close_minute) // +1 to account for next day
// Plot session boxes on the chart
bgcolor(time >= sydney_open and time < sydney_close ? sydney_color : na, transp=90)
bgcolor(time >= tokyo_open and time < tokyo_close ? tokyo_color : na, transp=90)
bgcolor(time >= london_open and time < london_close ? london_color : na, transp=90)
bgcolor(time >= new_york_open and time < new_york_close ? new_york_color : na, transp=90)
// Display labels for each session
if (time == sydney_open)
label.new(bar_index, high, "Sydney Open", style=label.style_label_up, color=color.white, textcolor=sydney_color, size=size.small)
if (time == tokyo_open)
label.new(bar_index, high, "Tokyo Open", style=label.style_label_up, color=color.white, textcolor=tokyo_color, size=size.small)
if (time == london_open)
label.new(bar_index, high, "London Open", style=label.style_label_up, color=color.white, textcolor=london_color, size=size.small)
if (time == new_york_open)
label.new(bar_index, high, "New York Open", style=label.style_label_up, color=color.white, textcolor=new_york_color, size=size.small)
Dynamic High-Low TableThis Pine Script creates a dynamic high-low data table on the chart, displaying key price levels for multiple timeframes, including 52-week, 1-month, 1-week, and daily intervals. It also shows today's open price and current market price (CMP)