Bottom Detection Monitor**Bottom-Fishing Monitor**
This indicator utilizes the RSI value when it falls below 30. The difference between the RSI value and 30 is accumulated over time. If the RSI value exceeds 30 during this period, the accumulated value is automatically reset to zero, and the calculation starts anew. Once the accumulated value reaches the set threshold, it resets again.
The default threshold is set to 100.
This concept originally emerged from observing one-minute trading charts, where it is particularly suitable for smaller timeframes. In cases of a continuous, strong downward trend on higher timeframes, the threshold might need to be set much higher. This could result in the indicator's graph becoming overly distorted. Additionally, since the volatility characteristics and amplitude vary for different instruments, I’ve made this threshold adjustable for users.
Using the same principle, I’ve also created a similar detection mechanism based on CCI.
Under normal circumstances, this curve stays close to the zero line. However, during a downward trend where RSI falls below 30, the curve starts to rise. When the suddenly increasing curve peaks and then drops back to the zero line, it signals a bottom-fishing opportunity. That said, due to the threshold setting, multiple peaks may appear consecutively. Users should be aware of this in practice and can adjust the threshold to mitigate such occurrences.
This is the beginning of my open-source journey.
I respect creative ideas and redefined expressions.
Thank you, TradingView community, for giving me this opportunity.
中心震荡指标
Strategy with MACD and EMA"Strategy with MACD and EMA"
This is a simple strategy designed to enter LONG positions when the MACD crossover occurs below the 0 point and the price is above the EMA (200), and SHORT when the reverse conditions are met.
With TradingView's premium options, you can perform backtesting to obtain a more reliable sample, but I recommend not exceeding more than 3 months for the 5-minute timeframe.
The ratio is set by default to 2:1. You can modify the Take Profit (TP), Stop Loss (SL), EMA length, and MACD settings.
My advice is to perform backtesting on pairs that adapt best to it.
It is recommended to periodically change the pairs that fit the strategy best or adjust the TP/SL, as volatility changes constantly.
A pair may work better for LONG positions than for SHORT , and vice versa.
The strategy is initially designed for use with the 5-minute timeframe, but it can be adapted to any timeframe and asset (stocks, cryptocurrencies, etc.).
If your exchange charges a 0.05% commission per trade, the strategy must have at least a 36.67% win rate to be profitable with the established TP/SL parameters.
The source code is open for customization and modification.
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Esta es una estrategia simple, diseñada para entrar en posiciones LONG cuando el cruce del MACD ocurre por debajo del punto 0 y el precio se encuentra sobre la EMA (200), y en posiciones SHORT cuando se da todo a la inversa.
Con las opciones premium de TradingView, puedes realizar análisis retroactivos para obtener una muestra más confiable, pero recomiendo que no se exceda más de los 3 meses para la temporalidad de 5 minutos.
El ratio está predeterminado en 2:1. Puedes modificar el Take Profit (TP), Stop Loss (SL), la longitud de la EMA y la configuración del MACD.
Mi consejo es hacer backtesting en los pares que mejor se adapten a ella.
Es recomendable cambiar con periodicidad los pares que más se adapten a la estrategia o ajustar el TP/SL, ya que la volatilidad varía constantemente.
Un par puede funcionar mejor para posiciones LONG que para SHORT , y viceversa.
La estrategia inicialmente está pensada para usarse en temporalidad de 5 minutos, pero puede adaptarse a cualquier temporalidad y activo (acciones, criptomonedas, etc.).
Si tu exchange cobra un 0,05% de comisión por operación, la estrategia debe tener al menos un 36,67% de acierto para ser rentable bajo los parámetros de TP/SL preestablecidos.
El código fuente está abierto para su personalización y modificación.
REVERSÃO POR ZONA DE RSI//@version=5
indicator('REVERSÃO POR ZONA DE RSI- I', overlay=false)
//functions
xrf(values, length) =>
r_val = float(na)
if length >= 1
for i = 0 to length by 1
if na(r_val) or not na(values )
r_val := values
r_val
r_val
xsa(src, len, wei) =>
sumf = 0.0
ma = 0.0
out = 0.0
sumf := nz(sumf ) - nz(src ) + src
ma := na(src ) ? na : sumf / len
out := na(out ) ? ma : (src * wei + out * (len - wei)) / len
out
// inputs
n1 = input.int(30, title='n1', minval=1)
//threshold lines
h1 = hline(50, color=color.red, linestyle=hline.style_dotted)
h2 = hline(50, color=color.green, linestyle=hline.style_dotted)
h3 = hline(10, color=color.lime, linestyle=hline.style_dotted)
h4 = hline(90, color=color.red, linestyle=hline.style_dotted)
fill(h2, h3, color=color.new(color.green, 70))
fill(h1, h4, color=color.new(color.red, 70))
//KDJ indicator
rsv = (close - ta.lowest(low, n1)) / (ta.highest(high, n1) - ta.lowest(low, n1)) * 100
k = xsa(rsv, 3, 1)
d = xsa(k, 3, 1)
crossover_1 = ta.crossover(k, d)
buysig = d < 25 and crossover_1 ? 30 : 0
crossunder_1 = ta.crossunder(d, k)
selsig = d > 75 and crossunder_1 ? 70 : 100
//plot buy and sell signal
ple = plot(buysig, color=color.new(color.green, 0), linewidth=1, style=plot.style_area)
pse = plot(selsig, color=color.new(color.red, 0), linewidth=2, style=plot.style_line)
//plot KD candles
plotcandle(k, d, k, d, color=k >= d ? color.green : na)
plotcandle(k, d, k, d, color=d > k ? color.red : na)
// KDJ leading line
var1 = (close - ta.sma(close, 13)) / ta.sma(close, 13) * 100
var2 = (close - ta.sma(close, 26)) / ta.sma(close, 21) * 100
var3 = (close - ta.sma(close, 90)) / ta.sma(close, 34) * 100
var4 = (var1 + 3 * var2 + 9 * var3) / 13
var5 = 100 - math.abs(var4)
var10 = ta.lowest(low, 10)
var13 = ta.highest(high, 25)
leadingline = ta.ema((close - var10) / (var13 - var10) * 4, 4) * 25
pbias = plot(leadingline, color=k >= d ? color.green : color.red, linewidth=4, style=plot.style_line, transp=10)
MCDX_SignalThe MCDX indicator (Market Cycle Dynamic Index) is a technical indicator developed by Trung Pham. It is a tool used for analyzing the stock market, often utilized to identify big money flow (Big Money) and evaluate the strength of individual stocks or the overall market.
MCDX is known for its distinctive histogram chart with red and green bars. The red bars typically represent the inflow of big money, while the green bars indicate small money flow or outflows.
Long TermA simple script based on CCI and ATR helps to identify stocks for long-term investment.
The script is to be used in the weekly time frame to identify better opportunities.
RV Line is the decision point - above-the-line stock will be trending mode.
Please Note:
I am not SEBI registered financial advisor and the script or ideas posted by me are only for my purpose.
8 en 1 SM, DMI, Koncorde, RSI, MACD, CMF, Estocástico y Aroon.Con este indicador podrás ver 8 osciladores diferentes al mismo tiempo y activar o desactivar el que quieras, también personalizarlos. Los osciladores que trae son los siguientes: Squeeze Momentum, DMI, Koncorde, RSI, MACD, CMF, Estocástico y Aroon.
MACD + RSI LabelsThis indicator shows the buy and sell indicator on the chart when MACD crossing the signal line and RSI is above 40 or below 60
Mr. Nitish Kumar Triveni Sangam Shapes and AlertsTriveni Sangam Shapes and Alerts:
Spot and set alerts on "Triveni Sangam" (Three averages meeting) breaks. 1. It helps avoid cluttering the chart with the three averages (9 SMA, 20 SMA Bollinger Band, and VWAP) by hiding them and optionally showing only the Golden (bullish) and Death (bearish) crosses.
2. Avoid showing consecutive breaks of the same color, so that one can act only on a significant breaks.
3. This setup is generally used with the Hilega Milega indicator.
4. One can learn more about this setup from Mr. Nitish Kumar's YouTube video titled: "Triveni Sangam Intraday Trading Setup With #Hilega_Milega | By- N.K Sir | #NKSTOCKTALK".
5. Most importantly, it helps set up alerts to get triggered not only when the breaks occur, but even as the break is impending based on a customizable price percent threshold .
Please let me know for any issues/improvements needed.
Thanks!
Adaptive Momentum Volume Oscillator (AMVO)AMVO — это осциллятор, который объединяет моментум, объем и волатильность для определения рыночных состояний.
Ключевые особенности:
Зоны перекупленности (>80) и перепроданности (<20).
Центральная линия (50) разделяет бычьи и медвежьи настроения.
Гистограмма выделяет силу движения.
Применение:
Помогает находить развороты и подтверждать тренды.
Работает на всех таймфреймах и для любых инструментов.
MACD + RSI LabelsThe indicator shows the BUY and SELl signals based on the MACD and RSI. The RSI is kept between 40 and 60.
5EMA - TG5 period Exponential Moving Averages. Plotting the 10 period EMA. Plotting the 20 period EMA.Plotting the 50 period EMA.Plotting the 100 period EMA. Plotting the 200 period EMA.
MACD + RSI LabelsThis indicator shows the BUY and SELL signals based on the MACD and RSI signals. the RSI is kept between 40 and 60.
Customizable EMA & RSI Indicator-TG1. *Customizable EMA Inputs:*
- Each EMA (10, 20, 50, 100, 200) is now customizable with its own length, color, and line thickness.
2. *Preserved RSI Settings:*
- The RSI section remains unchanged but with full user configurability for length, source, and colors.
3. *Overlay Configuration:*
- Set overlay=true so EMAs are plotted directly on the chart while RSI remains a separate indicator below.
### How to Use:
Adjust EMA lengths, colors, and thickness from the indicator settings panel to suit your preferences.
God Strategy 2.0About "God Strategy 2.0"
The God Strategy 2.0 is a cutting-edge trading algorithm meticulously designed for professional traders and analysts seeking an unparalleled edge in the financial markets. This strategy integrates advanced technical indicators, AI-powered sentiment analysis, and multi-layered logic to ensure precision in decision-making. Here's why it stands out:
Key Features:
Sophisticated Indicator Suite:
EMA Crossovers (21, 50, 200): Provides dynamic trend analysis and market direction.
MACD and RSI: Offer momentum and relative strength insights.
Stochastic RSI: Pinpoints overbought and oversold levels with increased accuracy.
VWAP and OBV: Combines volume dynamics with price action for reliable signals.
AI-Enhanced Sentiment Analysis:
Leverages a customizable AI sentiment score to adjust buy/sell conditions based on market sentiment.
Empowers traders with a hybrid approach, blending human intuition with AI insights.
Multi-Timeframe Flexibility:
Optimized for various timeframes to adapt to scalping, day trading, or swing trading strategies.
Debugging and Transparency:
Clear labels on the chart to indicate when buy/sell conditions are met, ensuring full transparency.
Performance-Oriented:
Designed for maximum efficiency, enabling traders to achieve consistent profitability while minimizing risks.
Who is it for?
This strategy is ideal for:
Advanced Traders: Looking to refine their edge in the markets.
Institutions and Funds: Seeking an automated solution for systematic trading.
Tech-Savvy Enthusiasts: Interested in leveraging AI and data-driven insights.
We are proud to deliver a professional-grade solution that not only meets but exceeds the expectations of modern-day traders. God Strategy 2.0 is a testament to our expertise in algorithmic trading and our commitment to innovation.
If you're looking for precision, adaptability, and power, this is the strategy for you! 🚀
Let me know if you'd like additional refinements or if you need assistance deploying this strategy!
MA RSI MACD Signal SuiteThis Pine Script™ is designed for use in Trading View and generates trading signals based on moving average (MA) crossovers, RSI (Relative Strength Index) signals, and MACD (Moving Average Convergence Divergence) indicators. It provides visual markers on the chart and can be configured to suit various trading strategies.
1. Indicator Overview
The indicator includes signals for:
Moving Averages (MA): It tracks crossovers between different types of moving averages.
RSI: Signals based on RSI crossing certain levels or its signal line.
MACD: Buy and sell signals generated by MACD crossovers.
2. Inputs and Customization
Moving Averages (MAs):
You can customize up to 6 moving averages with different types, lengths, and colors.
MA Type: Choose from different types of moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
HMA (Hull Moving Average)
SMMA (RMA) (Smoothed Moving Average)
WMA (Weighted Moving Average)
VWMA (Volume Weighted Moving Average)
T3, DEMA, TEMA
Source: Select the price to base the MA on (e.g., close, open, high, low).
Length: Define the number of periods for each moving average.
Examples:
MA1: Exponential Moving Average (EMA) with a period of 9
MA2: Exponential Moving Average (EMA) with a period of 21
RSI Settings:
RSI is calculated based on a user-defined period and is used to identify potential overbought or oversold conditions.
RSI Length: Lookback period for RSI (default 14).
Overbought Level: Defines the overbought threshold for RSI (default 70).
Oversold Level: Defines the oversold threshold for RSI (default 30).
You can also adjust the smoothing for the RSI signal line and customize when to trigger buy and sell signals based on the RSI crossing these levels.
MACD Settings:
MACD is used for identifying changes in momentum and trends.
Fast Length: The period for the fast moving average (default 12).
Slow Length: The period for the slow moving average (default 26).
Signal Length: The period for the signal line (default 9).
Smoothing Method: Choose between SMA or EMA for both the MACD and the signal line.
3. Signal Logic
Moving Average (MA) Crossover Signals:
Crossover: A bullish signal is generated when a fast MA crosses above a slow MA.
Crossunder: A bearish signal is generated when a fast MA crosses below a slow MA.
The crossovers are plotted with distinct colors, and the chart will display markers for these crossover events.
RSI Signals:
Oversold Crossover: A bullish signal when RSI crosses over its signal line below the oversold level (30).
Overbought Crossunder: A bearish signal when RSI crosses under its signal line above the overbought level (70).
RSI signals are divided into:
Aggressive (Early) Entries: Signals when RSI is crossing the oversold/overbought levels.
Conservative Entries: Signals when RSI confirms a reversal after crossing these levels.
MACD Signals:
Buy Signal: Generated when the MACD line crosses above the signal line (bullish crossover).
Sell Signal: Generated when the MACD line crosses below the signal line (bearish crossunder).
Additionally, the MACD histogram is used to identify momentum shifts:
Rising to Falling Histogram: Alerts when the MACD histogram switches from rising to falling.
Falling to Rising Histogram: Alerts when the MACD histogram switches from falling to rising.
4. Visuals and Alerts
Plotting:
The script plots the following on the price chart:
Moving Averages (MA): The selected MAs are plotted as lines.
Buy/Sell Shapes: Triangular markers are displayed for buy and sell signals generated by RSI and MACD.
Crossover and Crossunder Markers: Crosses are shown when two MAs crossover or crossunder.
Alerts:
Alerts can be configured based on the following conditions:
RSI Signals: Alerts for oversold or overbought crossover and crossunder events.
MACD Signals: Alerts for MACD line crossovers or momentum shifts in the MACD histogram.
Alerts are triggered when specific conditions are met, such as:
RSI crosses over or under the oversold/overbought levels.
MACD crosses the signal line.
Changes in the MACD histogram.
5. Example Usage
1. Trend Reversal Setup:
Buy Signal: Use the RSI oversold crossover and MACD bullish crossover to identify potential entry points in a downtrend.
Sell Signal: Use the RSI overbought crossunder and MACD bearish crossunder to identify potential exit points or short entries in an uptrend.
2. Momentum Strategy:
Combine MACD and RSI signals to identify the strength of a trend. Use MACD histogram analysis and RSI levels for confirmation.
3. Moving Average Crossover Strategy:
Focus on specific MA crossovers, such as the 9-period EMA crossing above the 21-period EMA, for buy signals. When a longer-term MA (e.g., 50-period) crosses a shorter-term MA, it may indicate a strong trend change.
6. Alerts Conditions
The script includes several alert conditions, which can be triggered and customized based on the user’s preferences:
RSI Oversold Crossover: Alerts when RSI crosses over the signal line below the oversold level (30).
RSI Overbought Crossunder: Alerts when RSI crosses under the signal line above the overbought level (70).
MACD Buy/Sell Crossover: Alerts when the MACD line crosses the signal line for a buy or sell signal.
7. Conclusion
This script is highly customizable and can be adjusted to suit different trading strategies. By combining MAs, RSI, and MACD, traders can gain multiple perspectives on the market, enhancing their ability to identify potential buy and sell opportunities.
Dynamic S/R Levels: Edge FinderOverview
The Dynamic S/R Levels: Edge Finder indicator is designed to identify dynamic support and resistance levels based on historical price action. It uses a combination of price extremes (highs and lows) over user-defined lookback periods, weighted moving averages (WMAs), and touch-count analysis to provide actionable insights into key market levels.
This tool is ideal for traders who want to:
Identify dynamic support and resistance zones.
Understand the strength of these levels based on price touches.
Make informed decisions using clear, adaptive levels.
How It Works
Dynamic Levels Calculation:
The indicator calculates dynamic support levels using the lowest lows and dynamic resistance levels using the highest highs over user-defined lookback periods (e.g., 20, 40, 60 bars, etc.).
These levels are updated dynamically as new price data becomes available.
Touch Count Analysis:
The indicator counts how many times the price has touched or come close to each support/resistance level within the lookback period.
Levels with more touches are considered stronger and are highlighted accordingly.
Weighted Moving Averages (WMAs):
The indicator uses 50-period and 100-period WMAs to identify the closest support/resistance levels to the current trend.
Levels near these WMAs are given additional weight, as they are more likely to act as significant barriers.
Level Merging:
If two support or resistance levels are too close to each other (based on the minimum distance percentage), the weaker level (with fewer touches) is removed to avoid clutter.
Visualization:
Support levels are displayed as dashed red lines, and resistance levels are displayed as dashed blue lines.
Each level is labeled with its corresponding touch count, allowing traders to quickly assess its strength.
How to Interpret the Indicator
Strong Support/Resistance Levels:
Levels with higher touch counts (e.g., 5, 10, or more) are considered stronger and are more likely to hold in the future.
Use these levels to plan entries, exits, or stop-loss placements.
Proximity to WMAs:
Levels closest to the 50-period or 100-period WMA are more significant, especially in trending markets.
These levels often act as dynamic barriers where price reactions are more likely.
Breakouts and Rejections:
If the price breaks through a strong resistance level, it may indicate a potential bullish trend.
If the price rejects a strong support level, it may indicate a potential bearish trend.
Always confirm breakouts or rejections with additional analysis (e.g., volume, candlestick patterns).
Level Merging:
Merged levels indicate areas of high confluence, where multiple support/resistance zones overlap.
These areas are particularly important for decision-making, as they represent stronger market reactions.
Key Features
Customizable Lookback Periods: Adjust the lookback periods for each dynamic level to suit your trading style.
Touch Count Labels: Quickly identify the strength of each level based on the number of price touches.
Adaptive Levels: The indicator dynamically updates levels based on recent price action.
Clean Visualization: Levels are automatically merged to avoid clutter and provide a clear view of the market structure.
Usage Tips
Trend Identification: Combine the indicator with trend-following tools (e.g., moving averages, trendlines) to confirm the overall market direction.
Risk Management: Use the identified levels to set stop-loss orders or take-profit targets.
Timeframe Flexibility: The indicator works on all timeframes, but it is particularly effective on higher timeframes (e.g., 1H, 4H, Daily) for more reliable levels.
Example Scenarios
Bounce Trade:
If the price approaches a strong support level (high touch count) and shows signs of rejection (e.g., bullish candlestick patterns), consider a long position with a stop-loss below the support level.
Breakout Trade:
If the price breaks above a strong resistance level with high volume, consider a long position with a target at the next resistance level.
Range-Bound Market:
In a sideways market, use the support and resistance levels to identify range boundaries and trade bounces between them.
Disclaimer
Dynamic S/R Levels: Edge Finder is a technical analysis tool designed to identify dynamic support and resistance levels based on historical price action. It is intended for informational and educational purposes only. This indicator does not provide financial, investment, or trading advice. Users are solely responsible for their trading decisions and should conduct their own research and analysis before making any trades. The developer of this tool is not liable for any financial losses or damages resulting from the use of this indicator. Trading in financial markets involves risk, and you should only trade with capital you can afford to lose.
CCI Buy Signal//@version=5
indicator("CCI Buy Signal", overlay=true)
// Inputs for CCI
length = input.int(14, title="CCI Length")
src = input.source(close, title="Source")
// Calculate CCI
cci = ta.cci(src, length)
prev_cci = ta.valuewhen(bar_index > 0, cci , 0)
// Buy condition
buySignal = (cci < -100) and (cci > prev_cci)
// Plot CCI
plot(cci, color=color.blue, title="CCI")
hline(100, color=color.red, linestyle=hline.style_dotted, title="Upper Threshold")
hline(0, color=color.gray, linestyle=hline.style_dotted, title="Zero Line")
hline(-100, color=color.red, linestyle=hline.style_dotted, title="Lower Threshold")
// Plot Buy Signal as Arrow
plotshape(buySignal, style=shape.triangleup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal Arrow")
VWMACD-MFI-OBV Composite# MACD-MFI-OBV Composite
A dynamic volume-based technical indicator combining Volume-Weighted MACD, Money Flow Index (MFI), and normalized On Balance Volume (OBV). This composite indicator excels at identifying breakouts and strong trend movements through multiple volume confirmations, making it particularly effective for momentum and high-volatility trading environments.
## Overview
The indicator integrates trend, momentum, and cumulative volume analysis into a unified visualization system. Each component is carefully normalized to enable direct comparison, while the background color system provides instant trend recognition. This version is specifically optimized for breakout detection and strong trend confirmation.
## Core Components
### Volume-Weighted MACD
Visualized through the background color system, this enhanced MACD implementation uses Volume-Weighted Moving Averages (VWMA) instead of traditional EMAs. This modification ensures greater sensitivity to volume-supported price movements while filtering out less significant low-volume price changes. The background alternates between green (bullish) and red (bearish) to provide immediate trend feedback.
### Money Flow Index (MFI)
Displayed as the purple line, the MFI functions as a volume-weighted momentum oscillator. Operating within a natural 0-100 range, it helps identify potential overbought and oversold conditions while confirming volume support for price movements. The MFI is particularly effective at validating breakout momentum.
### Normalized On Balance Volume (OBV)
The white line represents normalized OBV, providing insight into cumulative buying and selling pressure. The normalization process scales OBV to match other components while maintaining its ability to confirm price trends through volume analysis. This component excels at identifying strong breakout movements and volume surges.
## Signal Integration
The indicator generates its most powerful signals when all three components align, particularly during breakout conditions:
Strong Bullish Signals develop when:
- Background shifts to green (VWMACD bullish)
- MFI shows strong upward momentum
- OBV demonstrates sharp volume accumulation
Strong Bearish Signals emerge when:
- Background turns red (VWMACD bearish)
- MFI exhibits downward momentum
- OBV shows significant volume distribution
## Market Application
This indicator variant is specifically designed for:
Breakout Trading:
The OBV component provides excellent sensitivity to volume surges, making it ideal for breakout confirmation and momentum validation.
Trend Following:
Sharp OBV movements combined with MFI momentum help identify and confirm strong trending conditions.
High Volatility Markets:
The indicator's design excels in active, volatile markets where clear signal generation is crucial for decision-making.
## Technical Implementation
Default Parameters:
Volume-Weighted MACD maintains traditional periods (12/26/9) while leveraging volume weighting. MFI uses standard 14-period calculation with 80/20 overbought/oversold thresholds. All components undergo normalization over a 100-period lookback for stable comparison.
Visual Elements:
- Background: VWMACD trend indication (green/red)
- Purple Line: Money Flow Index
- White Line: Normalized OBV
- Yellow Line: Combined signal (arithmetic mean of normalized components)
- Reference Lines: Key levels at 20, 50, and 80
## Trading Methodology
The indicator supports a systematic approach to breakout and momentum trading:
1. Breakout Identification
Monitor for background color changes accompanied by significant OBV movement, indicating potential breakout conditions.
2. Volume Surge Confirmation
Examine OBV slope and magnitude to confirm genuine breakout scenarios versus false moves.
3. Momentum Validation
Use MFI to confirm breakout strength and identify potential exhaustion points.
4. Combined Signal Analysis
The yellow line provides a unified view of all components, helping identify high-probability breakout opportunities.
## Interpretation Guidelines
Breakout Confirmation:
Strong breakouts typically show alignment of all three components with notable OBV surge. This configuration often precedes significant price movements.
Trend Strength:
Continuous OBV expansion during trends, supported by steady MFI readings, suggests sustained momentum.
## Market Selection
Optimal Markets Include:
- High-beta growth stocks
- Momentum-driven securities
- Stocks with significant volatility
- Active trading instruments
- Examples: TSLA, NVDA, growth stocks
## Version Information
Current Version: 2.0.0
This indicator represents a specialized adaptation of volume-based analysis, optimized for breakout trading and momentum strategies in high-volatility environments.
Neural Network Proxy Strategy Alt by NHBprodHey, this is a trading strategy I’ve been working on. It uses a combination of three technical indicators: Bollinger Bands (to measure price volatility), Average True Range (ATR, to gauge price movement range), and Chaikin Money Flow (CMF, to check the flow of money in and out of an asset). The script normalizes each of these indicators which is essentially a simplified version of machine learning to create a single combined score, which is kind of like a neural network proxy. If this score goes above 0.5, it signals a potential buy, and if it goes below -0.5, it signals a potential sell. It’s pretty cool because you can tweak the weights of each indicator to suit different market conditions. It even plots the combined score on the chart to help visualize the signals!
This strategy is built for Bitcoin specifically, and it's applied on the 3 hour chart. Check out the results yourself. If you traded this strategy using Long only, then it yielded a staggering ~3% per trade, and there are hundreds of trades in this dataset!
Commission and slippage are included by the way!
If you want to trade this strategy in real time, I also have a pairing indicator script, and you can easily right click on the chart to create a 'buy' alert or a 'sell' alert that can be sent directly to your phone, or email. You can also set it up so that it sends a message to your trading broker so that it automatically purchases and sells based on this strategy. If you'd like help setting that up, let me know!
Comprehensive RSI, MACD & Stochastic Table
RSI, MACD, and Stochastic Multi-Asset Indicator for TradingView
Introduction
The RSI, MACD, and Stochastic Multi-Asset Indicator is a comprehensive tool designed for traders who want to analyze multiple assets simultaneously while utilizing some of the most popular technical indicators. This indicator is tailored for all market types—whether you're trading cryptocurrencies, stocks, forex, or commodities—and provides a consolidated dashboard for faster and more informed decision-making.
This tool combines Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), and Stochastic Oscillator, three of the most effective momentum and trend-following indicators. It provides a visual, color-coded table for quick insights and alerts for significant buy or sell opportunities.
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What Does This Indicator Do?
This indicator performs the following key functions:
1. Multi-Asset Analysis: Analyze two assets side by side, allowing you to monitor their momentum, trends, and overbought/oversold conditions simultaneously.
2. Combines Three Powerful Indicators:
RSI: Tracks market momentum and identifies overbought/oversold zones.
MACD: Highlights trend direction and momentum shifts.
Stochastic Oscillator: Provides insights into overbought/oversold zones with smoothing for better accuracy.
3. Color-Coded Dashboard: Displays all indicator values in an easy-to-read table with color coding for quick identification of market conditions.
4. Real-Time Alerts: Generates alerts when strong bullish or bearish conditions are met across multiple indicators.
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Key Features
1. Customizable Inputs
You can adjust RSI periods, MACD parameters, Stochastic settings, and timeframes to suit your trading style.
Analyze default or custom assets (e.g., BTC/USDT, ETH/USDT).
2. Multi-Timeframe Support
Use this indicator on any timeframe (e.g., 1-minute, 1-hour, daily) to suit your trading strategy.
3. Comprehensive Dashboard
Displays values for RSI, MACD, and Stochastic for two assets in one clean, compact table.
Automatically highlights overbought (red), oversold (green), and neutral (gray) conditions.
4. Buy/Sell Signals
Plots buy/sell signals on the chart when all indicators align in strong bullish or bearish zones.
Example:
Strong Buy: RSI above 50, Stochastic %K above 80, and MACD histogram positive.
Strong Sell: RSI below 50, Stochastic %K below 20, and MACD histogram negative.
5. Real-Time Alerts
Alerts notify you when a strong buy or sell condition is detected, so you don't miss critical trading opportunities.
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Who Is This Indicator For?
This indicator is perfect for:
Day Traders who need real-time insights across multiple assets.
Swing Traders who want to identify mid-term trends and momentum shifts.
Crypto, Stock, and Forex Traders looking for a consolidated tool that works across all asset classes.
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How It Works
1. RSI (Relative Strength Index):
Tracks momentum by measuring the speed and change of price movements.
Overbought: RSI > 70 (Red).
Oversold: RSI < 30 (Green).
2. MACD (Moving Average Convergence Divergence):
Combines two exponential moving averages (EMA) to track momentum and trend direction.
Positive Histogram: Bullish momentum.
Negative Histogram: Bearish momentum.
3. Stochastic Oscillator:
Tracks price relative to its high-low range over a specific period.
Overbought: %K > 80.
Oversold: %K < 20.
4. Table View:
Displays indicator values for both assets in an intuitive table format.
Highlights critical zones with color coding.
5. Alerts:
Alerts are triggered when:
RSI, MACD, and Stochastic align in strong bullish or bearish conditions.
These conditions are based on customizable thresholds.
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How to Use the Indicator
1. Add the Indicator to Your Chart:
After publishing, search for the indicator by its name in TradingView's Indicators tab.
2. Customize Inputs:
Adjust settings for RSI periods, MACD parameters, and Stochastic smoothing to suit your strategy.
3. Interpret the Table:
Check the table for highlighted zones (red for overbought, green for oversold).
Look for bullish or bearish signals in the "Signal" column.
4. Act on Alerts:
Use the real-time alerts to take action when strong conditions are met.
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Example Use Cases
1. Crypto Day Trading:
Monitor BTC/USDT and ETH/USDT simultaneously for strong bullish or bearish conditions.
Receive alerts when RSI, MACD, and Stochastic align for a potential reversal.
2. Swing Trading Stocks:
Track a stock (e.g., AAPL) and its sector ETF (e.g., QQQ) to find momentum-based opportunities.
3. Forex Scalping:
Identify overbought/oversold conditions across multiple currency pairs.
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Conclusion
The RSI, MACD, and Stochastic Multi-Asset Indicator simplifies your trading workflow by consolidating multiple technical indicators into one powerful tool. With real-time insights, color-coded visuals, and customizable alerts, this indicator is designed to help you stay ahead in any market.
Whether you're a beginner or an experienced trader, this indicator provides everything you need to make confident trading decisions. Add it to your TradingView chart today and take your analysis to the next level!
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Make sure to leave your feedback and suggestions so I can continue improving the tool for the community. Happy trading!