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.
Oszillatoren
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)
Kashinsth_RSI PrimedThis code updated RSI with updated leve marking in to the code. This will help user to identify sideways market
SWING TRADE 3.0 WPB Trive I FThe indicator is used specifically for trading single stocks (CFD) with a swing trading strategy
🛸 Oscillator Bands 🛸The script creates an indicator that combines several technical oscillators (RSI, MFI, VZO, and CCI) with a kernel regression oscillator to provide trend signals and a heatmap for potential buy and sell opportunities. Here's a breakdown of what the script does:
Indicator Initialization: The script starts by defining the indicator's name, whether it should be overlaid on price charts, and other formatting options.
Imports: It imports two external libraries from QuantraAI and QuantraSystems, which provide functions for dynamic moving averages and other calculations.
Inputs:
Kernel Regression Settings: Allows users to set parameters for the kernel regression, such as the source data, bandwidth, width, standard deviation lookback, and multiplier.
Oscillator Settings: Allows users to set parameters for the RSI, MFI, VZO, and CCI indicators, including their lengths and thresholds for overbought and oversold conditions.
Visual Settings: Users can choose whether to display trend signals and the heatmap.
Kernel Regression Calculations: The script calculates the kernel regression using different kernels (Epanechnikov, Logistic, Wave) and computes the average of these regressions along with the closing price.
Plotting Kernel Regression Outputs: The script plots the signal wave and various bands (upper and lower standard deviation bands) on the chart.
Trend Signals: Although commented out in the provided script, there is logic to identify up and down trends based on changes in the signal wave.
Combined Oscillator Calculation: The script calculates a combined oscillator by averaging the RSI, MFI, VZO, and CCI values, adjusting them to a common scale.
Multi-Signal Combined Market IndicatorAn all-in-one technical analysis tool combining RSI, Moving Averages (MA), Bollinger Bands, and MACD. Provides clear Buy and Sell signals based on RSI conditions, MA crossovers, and MACD confirmation, displayed directly on the chart.
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 (
Norman's OBV RSIDieses Skript kombiniert den On-Balance Volume (OBV) Indikator mit dem RSI, um das Momentum des EUR/USD-Marktes auf Basis von Volumenbewegungen zu bewerten. Der OBV misst den kumulierten Kauf- und Verkaufsdruck, während der daraus berechnete RSI aufzeigt, wann der Markt überkauft oder überverkauft ist – jedoch nicht allein nach Preis, sondern nach volumengewichteten Bewegungen.
Die obere Grenzlinie bei 70 markiert überkaufte Bereiche, die rot hervorgehoben sind. Fällt der RSI hingegen unter die untere Grenzlinie bei 30, wird dies blau dargestellt, um überverkaufte Situationen deutlich erkennbar zu machen. Neutrale Zonen im mittleren Bereich erscheinen in unaufdringlichem Grau.
Als Zusatzfunktion zählt das Skript innerhalb eines frei einstellbaren Beobachtungszeitraums, wie oft der RSI über die obere oder unter die untere Schwelle kreuzt. Diese Auswertung wird in einer Tabelle angezeigt, die optional ein- oder ausgeschaltet werden kann. Damit bietet dieses Werkzeug einen tieferen Einblick in historische Übertreibungsmuster und unterstützt eine fundiertere Beurteilung der Marktdynamik.
Haluxury368I have seen very effective indicators and want to share more with investors. Good luck to you.
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
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")
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.
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.
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.
COIN/BTC Extreme Trend OscillatorThe NASDAQ:COIN / CRYPTOCAP:BTC Extreme Trend Oscillator is an advanced version of the COIN/BTC Trend Oscillator, designed specifically for identifying and trading strong market trends. By combining VWAP divergences, ATR-normalized momentum, and trend strength filtering (ADX), this indicator filters out noise from sideways markets and focuses on high-confidence signals during trending conditions.
How It Works:
Enhancements Over the Original Trend Oscillator:
Trend Strength Filtering (ADX):
• Filters out signals in sideways or low-momentum markets.
• Highlights strong bullish and bearish trends with confidence.
Signal Conditioning:
• Only displays signals in trending markets to reduce false positives.
• Background colors indicate the direction of the trend:
• Red: Strong bullish trend.
• Green: Strong bearish trend.
Dynamic Normalization:
• Uses ATR to adjust the oscillator for market volatility, improving adaptability across varying conditions.
Key Features:
VWAP Divergences: Tracks the momentum difference between NASDAQ:COIN and CRYPTOCAP:BTC using their respective VWAPs.
Normalized Oscillator: Scales momentum to volatility, making it easier to interpret across market conditions.
Trend Strength Filtering: ADX ensures signals are only generated during strong trends.
Clear Visuals:
• Red background for strong uptrends.
• Green background for strong downtrends.
Why It’s Better:
• The original Trend Oscillator generates signals in all market conditions, which may lead to false positives during sideways markets.
• The Extreme Trend Oscillator focuses exclusively on strong trends, ensuring higher signal quality and fewer unnecessary trades.
• Enhanced filtering and normalization make it more robust for high-confidence trend-following strategies.
Use Case:
• Ideal for traders seeking to capture strong trending moves in NASDAQ:COIN and $BTC.
• Use it to time entries and exits during macro bullish or bearish phases, avoiding noise from consolidating markets.
Limitations:
Lag may occur due to VWAP and ADX smoothing, especially in fast-moving markets.
Less effective in range-bound or choppy conditions.
Pro Tip:
Pair this indicator with momentum tools like RSI or volume filters for confirmation, or use it alongside higher timeframe trend analysis to maximize accuracy.
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.
Volume FIltered RSI Buy/Sell StragetyIntroduction
"Volume Filtered RSI Buy/Sell Strategy" is a technical trading tool designed for the BYBIT:BTCUSDT.P 5-minute chart. This strategy integrates the popular RSI momentum indicator with a volume-based filter, providing more reliable entry signals. It aims to capture high-probability trades by confirming bullish or bearish momentum crossovers with adequate volume support.
Overview
This strategy uses RSI to detect overbought or oversold market conditions and confirms them with a volume filter to weed out weaker signals. By doing so, it seeks to minimize false entries and improve the quality of each trade. An ATR- or fixed-percent-based stop-loss mechanism adds a robust risk management layer, while dynamic take-profit levels allow traders to lock in gains strategically.
Key Features
RSI-Based Signals : Uses RSI to pinpoint when the market shifts from oversold to bullish or from overbought to bearish.
Volume Filter : Ensures entries are validated by sufficient trading volume, reducing the likelihood of false breakouts.
Flexible Stop-Loss Options : Choose between ATR-derived dynamic stop losses or fixed-percentage stop losses to best suit your risk appetite.
Risk/Reward Settings : Easily configure your preferred risk-to-reward ratio to match your trading style.
Strategy Settings
RSI Length : Default 14. Adjust if you want quicker or smoother RSI responses.
Overbought/Oversold Levels : Default at 70/30, can be tweaked based on market conditions.
Volume Filter : Uses an EMA of volume (default 20 bars) to confirm that entries occur with sufficient liquidity.
Exit Strategies :
ATR-Based: Dynamic SL adapted to market volatility.
Fixed Percent: Uniform SL% for a more static approach.
Trade Direction : Configure to Long Only, Short Only, or Both.
Risk Reward Ratio : Default is 1.5, but can be adjusted to find the right balance between frequency of winners and total profit.
Entry Conditions
Long Entries : RSI transitions from oversold to above OS threshold, with candle confirming bullish momentum and volume exceeding its EMA baseline.
Short Entries : RSI transitions from overbought to below OB threshold, with candle confirming bearish momentum and volume meeting the same criteria.
Exit Conditions
ATR : Automatically adjusts stop losses and targets based on volatility.
Fixed Percent : Uses a set percentage stop-loss while maintaining a risk/reward ratio to determine the take-profit level.
Best Practices Recommended Chart: 5-minute BYBIT:BTCUSDT.P pair for fast-paced scalping opportunities.
Initial Capital: 100 USDT, suggested order size of 20 USDT.
Consider forward-testing and fine-tuning parameters like RSI levels, SL%, and ATR length for different market conditions.
Disabling “Trades On Chart” can help you focus on just buy/sell signals if using as an indicator.
For Developers
The source is open to developers interested in learning about dynamic exits, partial take profits, and integrating multiple filters (RSI + volume). Check the commented code sections and tooltips for guidance and experimentation.
Disclaimer: This strategy is shared for educational purposes only. Past performance does not guarantee future results. Always test and adjust the strategy thoroughly before using it in live markets. The author shares this concept based on personal experience and is not responsible for any financial decisions made by users.
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
Money Flow Index SpecialThis visual setup helps traders quickly assess the market’s money flow and potential reversal points.
Here’s a simple explanation of the script:
Calculates the Money Flow Index (MFI) using a user-defined period (default is 14).
Plots the MFI as a continuous line with dots at each data point:
Green dots indicate the MFI has increased compared to the previous value.
Orange dots indicate the MFI is the same or has decreased.
Displays horizontal lines at 80 (Overbought), 50 (Middle Band), and 20 (Oversold) to help identify key levels.
Highlights the background in light yellow whenever the MFI is below 50, making it easy to spot lower momentum areas.
