MVRVZ - MVRVZ Top and Bottom Indicator for ETH [Da_Prof]Market Value-Realized Value Z-score (MVRVZ) for ETH - The MVRV-Z score measures the value of the Ethereum network by comparing its market cap to the realized value and dividing by the standard deviation of the market cap (market cap – realized cap) / stdev(market cap). When the market value is significantly higher than the realized value, the Ethereum network is "overvalued". Very high values have generally signaled price tops in the past and low values have signaled bottoms. For tops, the default trigger value is above 3.85 (default). For bottoms, the indicator is triggered when the MVRVZ is below -0.25 (default). These trigger values can be modified.
Osilator
SSL and Dual MACD Indicatorindicator with ssl and macd use to for a perfect buy sell stratergy 100 win condition
Multi-Indicator ScriptThis script combines multiple technical indicators to provide buy and sell signals on the price chart. The indicators included are MACD, RSI, CCI, and SMI. Each indicator generates signals based on specific conditions:
MACD: Buy signals are generated when the MACD line crosses above the signal line. Sell signals are generated when the MACD line crosses below the signal line.
RSI: Includes a simple moving average (SMA) of length 14. Buy signals are generated when the RSI crosses above the SMA. Sell signals are generated when the RSI crosses below the SMA.
CCI: Buy signals are generated when the CCI crosses above -100. Sell signals are generated when the CCI crosses below 100.
SMI: Buy signals are generated when the SMI line crosses above the SMI signal line. Sell signals are generated when the SMI line crosses below the SMI signal line.
The script plots green upward triangles for buy signals and red downward triangles for sell signals on the price chart. Each signal is labeled with the corresponding indicator code (MACD, RSI, CCI, SMI) to identify which indicator generated the signal.
tf 5min signal 4 ema, stochastic and bollinger bands by GOENscalping in timeframe 5min with indicators ema5, ema20, ema100, ema200, stochastic 8,3,3 and Bollinger Bands
BB MTF with 4H EMA and Configurable RSI Signals By GokhanSMulti-Timeframe Bollinger Bands:
Allows users to specify a timeframe to calculate Bollinger Bands.
4H EMA 21:
Computes a 21-period EMA from the 4-hour timeframe and displays it on the chart.
Configurable RSI Settings:
Users can define the RSI period, source, timeframe, and moving average type (SMA, EMA, or WMA).
Buy and Sell Signals:
"Buy" (green label) and "Sell" (red label) signals are plotted based on RSI and its moving average crossovers.
Relative Strength Index 42pRelative Strength Index with point 42 for BTC.
Bitcoin usually has reactions at that point. (Creator and testing Lucas Academia Atrévete con Dru)
Kashinsth_RSI PrimedThis code updated RSI with updated leve marking in to the code. This will help user to identify sideways market
8 MA Lines (SMA + EMA)//@version=5
indicator("8 MA Lines (SMA + EMA)", overlay=true)
// 用户输入
sma1_length = input.int(10, title="SMA 1 Period")
sma2_length = input.int(20, title="SMA 2 Period")
sma3_length = input.int(50, title="SMA 3 Period")
sma4_length = input.int(100, title="SMA 4 Period")
ema1_length = input.int(10, title="EMA 1 Period")
ema2_length = input.int(20, title="EMA 2 Period")
ema3_length = input.int(50, title="EMA 3 Period")
ema4_length = input.int(100, title="EMA 4 Period")
// 计算均线
sma1 = ta.sma(close, sma1_length)
sma2 = ta.sma(close, sma2_length)
sma3 = ta.sma(close, sma3_length)
sma4 = ta.sma(close, sma4_length)
ema1 = ta.ema(close, ema1_length)
ema2 = ta.ema(close, ema2_length)
ema3 = ta.ema(close, ema3_length)
ema4 = ta.ema(close, ema4_length)
// 绘制均线
plot(sma1, color=color.blue, title="SMA 1")
plot(sma2, color=color.green, title="SMA 2")
plot(sma3, color=color.orange, title="SMA 3")
plot(sma4, color=color.red, title="SMA 4")
plot(ema1, color=color.purple, title="EMA 1")
plot(ema2, color=color.yellow, title="EMA 2")
plot(ema3, color=color.aqua, title="EMA 3")
plot(ema4, color=color.fuchsia, title="EMA 4")
PROWIN STUDY ALTCOIN INDEXPROWIN STUDY ALTCOIN INDEX
This indicator tracks the performance of key altcoin dominance indices (BTC.D, ETH.D, USDT.D, USDC.D, and DAI.D) by analyzing their closing prices. It calculates an Exponential Moving Average (EMA) to highlight the overall trend of the altcoin market. Key horizontal levels representing support (limit up), resistance (limit down), and a central line are drawn to help identify potential price action zones. This indicator is designed for analysis on the others.d asset in a daily timeframe, providing insights into market movements and altcoin dominance shifts.
RSI BB StdDev SignalOverview
The RSI BB StdDev Signal Indicator is a powerful tool designed to enhance your trading strategy by combining the Relative Strength Index (RSI) with Bollinger Bands (BB). This unique combination allows traders to identify potential buy and sell signals more accurately by leveraging the strengths of both indicators. The RSI helps in identifying overbought and oversold conditions, while the Bollinger Bands provide a dynamic range to assess volatility and potential price reversals.
Key Features
— RSI Calculation: The indicator calculates the RSI based on user-defined parameters, allowing for customization to fit different trading styles.
— Bollinger Bands Integration: The RSI values are smoothed using a moving average, and Bollinger Bands are applied to this smoothed RSI to generate buy and sell signals.
— Divergence Detection: The indicator includes an optional feature to detect and alert on bullish and bearish divergences between the RSI and price action.
— Customizable Alerts: Users can set up alerts for buy and sell signals, as well as for divergences, ensuring they never miss a trading opportunity.
— Visual Aids: The indicator plots the RSI, Bollinger Bands, and signals on the chart, making it easy to visualize and interpret the data.
How It Works
1. RSI Calculation:
— The RSI is calculated using the change in the source input (default is close price) over a specified period.
— The RSI values are then plotted on the chart with customizable overbought and oversold levels.
2. Smoothing and Bollinger Bands:
— The RSI values are smoothed using a moving average (SMA, EMA, SMMA, WMA, VWMA) selected by the user.
— Bollinger Bands are applied to the smoothed RSI to create dynamic upper and lower bands.
3. Signal Generation:
—Buy signals are generated when the RSI crosses above the lower Bollinger Band.
—Sell signals are generated when the RSI crosses below the upper Bollinger Band.
—These signals are plotted on both the RSI pane and the main price chart for easy reference.
4. Divergence Detection:
— The indicator can detect and alert on regular bullish and bearish divergences between the RSI and price action.
— Bullish divergences occur when the price makes a lower low, but the RSI makes a higher low.
— Bearish divergences occur when the price makes a higher high, but the RSI makes a lower high.
Usage
1. Setting Up:
— Add the indicator to your TradingView chart.
— Customize the RSI length, source, and other parameters in the settings panel.
— Enable or disable the divergence detection based on your trading strategy.
2. Interpreting Signals:
— Use the buy and sell signals generated by the RSI crossing the Bollinger Bands as potential entry and exit points.
— Pay attention to divergences for additional confirmation of trend reversals.
3. Alerts:
— Set up alerts for buy and sell signals to receive notifications in real-time.
— Enable divergence alerts to be notified of potential trend reversals.
Conclusion
The RSI BB StdDev Signal Indicator is a comprehensive tool that combines the strengths of the RSI and Bollinger Bands to provide traders with more accurate and reliable signals. Whether you are a beginner or an experienced trader, this indicator can enhance your trading strategy by offering clear visual cues and customizable alerts.
Note
This indicator is provided with open-source code, allowing users to understand its logic and customize it further if needed. The detailed description and customizable settings ensure that traders of all levels can benefit from its unique features.
RSI with 3 Moving Averages (MA 20, MA 50, MA 200)Remarks:
Moving Averages (MA 20, MA 50, MA 200):
SMA (Simple Moving Average) calculations are made for 20, 50 and 200 periods.
These moving averages are plotted in blue, orange and red respectively.
RSI (Relative Strength Index):
14-period RSI calculation is made.
The RSI value is plotted in blue.
Overbought (70) and oversold (30) levels are shown in red and green with horizontal lines.
Background Color Change:
When the RSI value is above the overbought level (above 70), the chart shows a red background color.
When the RSI value is below the oversold level (below 30), a green background color is shown.
Usage:
This code displays both the RSI indicator and the three moving averages (MA 20, MA 50, MA 200) on the same chart.
You can also track overbought and oversold levels and observe the corresponding background color changes.
Haluxury368I have seen very effective indicators and want to share more with investors. Good luck to you.
VORTEX VWAP RSIThe Vortex VWAP RSI is a dynamic momentum oscillator that combines the power of Volume Weighted Average Price (VWAP), Relative Strength Index (RSI), and Hull Moving Average (HMA) to create a unique trading tool. This indicator is designed to help traders identify potential trend reversals and momentum shifts with improved accuracy and reduced noise.
Key Features
• Utilizes VWAP as the source for RSI calculations, providing volume-weighted momentum insights
• Incorporates HMA smoothing for a more responsive and less lagging signal
• Customizable overbought and oversold levels for versatile market analysis
• Clear visual representation of momentum shifts
How It Works
The Vortex VWAP RSI calculates the RSI using VWAP as its price input, then applies HMA smoothing to create a fluid, responsive line. This combination aims to capture market momentum while filtering out minor fluctuations.
Trading Signals
• Bullish signals may occur when the indicator crosses above the oversold level
• Bearish signals might be generated when the indicator drops below the overbought level
• Divergences between the indicator and price can suggest potential trend reversals
Customization Options
Traders can fine-tune the indicator by adjusting:
• RSI VWAP Length
• HMA Smoothing Length
• Overbought and Oversold Levels
• Visual settings (colors, line width)
Sell Strength IndicatorSell strength indicator combines multiple indicators together using fuzzy logic to create a sell strength. When the strength is above 90, it's a good place to sell.
Sell Strength IndicatorSell strength indicator combines multiple indicators together using fuzzy logic to create a sell strength. When the strength is above 90, it's a good place to sell.
EMA + RSI Momentum Strategy EMA + RSI Momentum Strategy with Multi-Take Profit and SL Tracking
Overview
This strategy combines two popular technical indicators – Exponential Moving Averages (EMA) and Relative Strength Index (RSI) – to identify momentum-based trading opportunities. The strategy incorporates multiple take profit (TP) levels and a fixed stop loss (SL), making it ideal for traders looking for clear entry, exit, and risk management rules.
Indicators Used
1. Exponential Moving Averages (EMA):
• Fast EMA (default 20): Represents short-term market trends.
• Slow EMA (default 50): Represents long-term market trends.
• EMA Crossovers confirm the trend direction.
2. Relative Strength Index (RSI):
• RSI Thresholds:
• Above 70: Overbought conditions signal potential sell trades.
• Below 30: Oversold conditions signal potential buy trades.
• A trade signal is generated only when RSI closes above or below these levels.
Trade Rules
Buy Signal (Long Trade):
• RSI Condition: RSI crosses above 70 (overbought level).
• EMA Condition: Fast EMA (20) is above the Slow EMA (
Combined Screener IndicatorsKey Features
VWAP (Volume Weighted Average Price):
Tracks intraday price movement to identify fair value levels, critical for scalping strategies.
Stochastic %K and %D:
Highlights overbought and oversold conditions, with %K for quick signals and %D for smoother trend confirmation.
Breakout & Breakdown Signals:
Automatically detects when price breaks key resistance or support levels, helping identify trade opportunities.
ATR-Based Stop Loss & Target Zones:
Dynamically calculated risk management levels, allowing for disciplined trade planning.
Multi-Timeframe RSI:
Simultaneously displays 1-hour and 4-hour RSI values to confirm trend strength across timeframes.
Dynamic Screener Table:
Displays real-time values for VWAP, Stochastic indicators, and ATR in a clean and compact table.
How to Use
Scalping:
Use the VWAP and Stochastic values to identify intraday reversals or continuation trades.
Swing Trading:
Combine Breakout/Breakdown signals with multi-timeframe RSI to confirm trend strength and direction.
Risk Management:
Use the ATR-based Stop Loss and Target Zones for disciplined entries and exits.
Alerts:
Enable alerts for breakout and breakdown conditions to capture opportunities without constant monitoring.
Why Choose This Indicator?
Combines multiple technical tools into one easy-to-use solution.
Saves time by automating key calculations and visualizations.
Suitable for both novice and advanced traders looking to optimize their strategies.
SwingArcher's Swing Indicator takes 3 indicators into consideration particularly 21EMA, Monthly VWAP and 14 RSI. It checks for Uptrend first and then for Downtrend. If the price is above 21EMA or Monthly VWAP or above 50 RSI or Oversold region of RSI then it generates BUY Signal otherwise generates SELL Signal for vice-versa.
Please note that there exists no special calculation but only 3 indicators as mentioned above to generate these signals.
PLEASE NOTE:
1. It is expected that you deploy this indicator in a DAY Chart timeframe as it generates signals on Day Chart.
2. The chart used in the display is for Crude Oil.
3. It is advised that you use Heikin-Ashi Candles so that you can make better entry and exits.
Momentum AlertPrice increase of more than 5%
10 EMA is greater than 20 EMA
RSI is above 65
CCI is above 150
Current volume is 50% higher than the 7-day average
Super Strategy with Entry/Exit Lines 1. Chandelier Exit:
• Determines potential trend reversal points using ATR-based stop-loss levels.
• Identifies buy and sell signals based on whether the price breaks above or below specific stop levels.
2. Price Volume Trend (PVT):
• Measures the momentum of price changes adjusted for volume.
• Generates buy/sell signals using a crossover between PVT and its EMA.
3. Ninja Oscillator:
• A momentum-based oscillator comparing fast and slow EMAs of the price.
• Buy and sell signals are based on crossovers with its EMA signal line.
4. EMA 200:
• Used as a trend filter: Buy signals are valid only when the price is above the EMA, and sell signals when the price is below.
Momentum Matrix (BTC-COIN)The Momentum Matrix (BTC-COIN) indicator analyzes the momentum relationship between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). By combining RSI, correlation, and dominance metrics, it identifies bullish and bearish macro trends to align trades with market momentum.
How It Works
Price Inputs: Pulls weekly price data for CRYPTOCAP:BTC and NASDAQ:COIN for macro analysis.
Metrics Calculated:
• RSI Divergence: Measures momentum differences between CRYPTOCAP:BTC and $COIN.
• Price Ratio: Tracks the $COIN/ CRYPTOCAP:BTC relationship relative to its long-term average (SMA).
• Correlation: Analyzes price co-movement between CRYPTOCAP:BTC and $COIN.
• Dominance Impact: Incorporates CRYPTOCAP:BTC dominance for broader crypto trends.
Composite Momentum Score: Combines these metrics into a smoothed macro momentum value.
Thresholds for Trend Detection: Upper and lower thresholds dynamically adapt to market conditions.
Signals and Visualization:
• Buy Signal: Momentum exceeds the upper threshold, indicating bullish trends.
• Sell Signal: Momentum falls below the lower threshold, indicating bearish trends.
• Background Colors: Green (bullish), Red (bearish).
Strengths
Integrates multiple metrics for robust macro analysis.
Dynamic thresholds adapt to market conditions.
Effective for identifying macro momentum shifts.
Limitations
Lag in high volatility due to smoothing.
Less effective in choppy, sideways markets.
Assumes CRYPTOCAP:BTC dominance drives NASDAQ:COIN momentum, which may not always hold true.
Improvements
Multi-Timeframe Analysis: Add daily or monthly data for precision.
Volume Filters: Include volume thresholds for signal validation.
Additional Metrics: Consider MACD or Stochastics for further confirmation.
Complementary Tools
Volume Indicators: OBV or cumulative delta for confirmation.
Trend-Following Systems: Pair with moving averages for timing.
Market Breadth Metrics: Combine with CRYPTOCAP:BTC dominance trends for context.
Williams %R GradationThe Williams %R Gradation indicator visually enhances the traditional Williams %R momentum oscillator by adding dynamic coloring and EMA (Exponential Moving Average) analysis. This version integrates color gradients to highlight overbought and oversold conditions while adjusting the color intensity based on the deviation (gap) between %R and its EMA.
Usage
This indicator can be used to:
Identify overbought and oversold market conditions.
Highlight potential reversals with increased visibility through color fills.
Analyze the strength of momentum by observing the gap between %R and its EMA.
Track continuation or lingering overbought/oversold conditions with the previous bar logic.
