RSI + Normalized Fisher Transform with SignalsThis indicator combines three tools for market analysis: the Relative Strength Index (RSI), the RSI's moving average, and the Fisher Transform. RSI is a momentum oscillator that measures the speed and change of price movements, helping identify overbought and oversold conditions. The RSI moving average is a smoothed version of the RSI that filters noise and confirms trends. The Fisher Transform is a mathematical technique that transforms price data into a Gaussian normal distribution, making it easier to identify turning points. It has been normalized to the same scale as the RSI (0-100) for consistency.
Purpose
The goal of this indicator is to identify potential buy and sell opportunities with varying degrees of strength (strong and weak). By combining the RSI, its moving average, and the Fisher Transform, the indicator ensures signals are based on both momentum and reversals, making it highly versatile across different market conditions.
Key Features
This indicator provides strong and weak buy and sell signals. A strong buy occurs when the RSI crosses above its moving average while both the RSI and its moving average are oversold (below the default threshold of 30), and the Fisher Transform reverses direction within the same or prior bar while also being oversold. A weak buy occurs when the Fisher Transform is oversold, and the RSI crosses above its moving average while its value is between the default oversold threshold (30) and 50. A strong sell occurs when the RSI crosses below its moving average while both the RSI and its moving average are overbought (above the default threshold of 70), and the Fisher Transform reverses direction within the same or prior bar while also being overbought. A weak sell occurs when the Fisher Transform is overbought, and the RSI crosses below its moving average while its value is between 50 and the default overbought threshold (70).
The indicator includes customizable thresholds and lengths. Users can adjust the oversold and overbought thresholds to suit their trading style. The RSI length, moving average length, and Fisher Transform length are also customizable. The Fisher Transform is scaled to the RSI’s range of 0-100 to simplify analysis and signal interpretation.
How to Use the Indicator
On the chart, you will see the RSI line in blue, the RSI moving average in orange, and the Fisher Transform in purple. Horizontal lines at the default oversold (30) and overbought (70) levels mark critical zones for signals. Adjust these thresholds in the indicator settings as needed.
Strong buy signals are shown as larger, darker green arrows below the price. Weak buy signals are small lime arrows below the price. Strong sell signals are larger, darker red arrows above the price. Weak sell signals are small fuchsia arrows above the price.
Signal Interpretation
A strong buy indicates a highly favorable buying opportunity. This typically occurs when the asset is in a downtrend but shows signs of reversal, particularly in oversold zones. A weak buy suggests a potential buying opportunity but with less conviction, often when the market is neutral to slightly bearish but showing upward momentum. A strong sell indicates a highly favorable selling opportunity, usually occurring when the asset is in an uptrend but shows signs of reversal, particularly in overbought zones. A weak sell suggests a potential selling opportunity but with less conviction, often in neutral to slightly bullish markets showing downward momentum.
Practical Tips
Avoid using signals in isolation. Combine this indicator with other tools such as trendlines, moving averages, or support/resistance levels for greater accuracy. Adjust the parameters for different assets to match their volatility. For volatile assets, consider wider thresholds like 20/80 for oversold/overbought levels. For less volatile assets, tighter thresholds like 35/65 may be more appropriate. Use higher timeframes to confirm signals before trading on lower timeframes. Be cautious in sideways markets, as both RSI and the Fisher Transform perform better in trending conditions.
Instructions for Adjustments
To change the oversold or overbought levels, open the indicator settings by clicking the gear icon and modify the "Oversold Threshold" and "Overbought Threshold" values. To adjust lengths for RSI and Fisher Transform, update the "RSI Length," "RSI Moving Average Length," and "Fisher Transform Length" settings. If needed, toggle signal visibility by enabling or disabling specific arrows (Strong Buy, Weak Buy, Strong Sell, Weak Sell) in the "Style" tab.
Best Practices
Risk management is essential. Always set appropriate stop-loss levels and position sizes based on your risk tolerance. Backtest the indicator on historical data to understand its performance and behavior for your chosen asset and timeframe. Combining this indicator with volume or volatility analysis (Bollinger Band Width, for example) can help confirm signal validity.
This indicator simplifies decision-making by identifying high-probability trading opportunities using a combination of momentum, trend, and reversals. Follow these instructions to fully utilize its capabilities without needing to analyze the underlying code.
Moyennes mobiles
Intraday GOLD Trading Indicator BY JUGNUThis intraday trading indicator for GOLD, focusing on 5–15 minute charts. It combines two exponential moving averages to identify trend direction, volume filtering to confirm strength, and an RSI threshold to ensure momentum aligns with the trend. Buy signals occur when the short EMA crosses above the long EMA, volume is above average, and RSI is above 50, while sell signals occur when the short EMA crosses below the long EMA, volume is high, and RSI is below 50. Signals are color-coded and plotted on the chart for easy visualization. This setup aims to provide reliable entry and exit points for short-term trades in GOLD.
7DIO Bulls - Trend Continuation (Weekly)This strategy, 7DIO Bulls - Bull Market Support Band, identifies opportunities to buy when a faster moving average crosses above a slower one and exits when the reverse occurs. It operates on weekly data, ensuring smooth calculations by filling any gaps. Users can backtest trades within a customizable date range, with visuals for moving averages and crossovers included for clarity. Designed for long-only positions, it leverages 100% of equity per trade with adjustable slippage and commission settings for realistic simulation.
Disclaimer: This strategy is for educational and backtesting purposes only. Past performance is not indicative of future results. Always conduct your own research and consult a financial advisor before making trading decisions.
HiLo ActivatorEnglish
HiLo Activator is an indicator designed to identify trend reversals and key price levels by analyzing moving averages of highs and lows. It provides visual signals and alerts to assist in making better trading decisions.
Features
Uses Gann High-Low logic to detect trend shifts based on high and low moving averages.
Plots magenta markers for swing highs and lime markers for swing lows.
Supports multi-timeframe analysis to adapt to current or specified timeframes.
Customizable settings, including moving average periods, offsets, and visual preferences.
Alerts for price crossing above the high moving average or below the low moving average.
日本語
HiLo Activatorは、高値と安値の移動平均を分析してトレンドの転換点や重要な価格レベルを特定するインジケーターです。視覚的なシグナルとアラート機能を備え、トレードの意思決定を支援します。
特徴
高値と安値の移動平均を用いたギャン・ハイローのロジックでトレンド転換を検出。
スイングハイをマゼンタ、スイングローをライムのマーカーで表示。
現在または指定したタイムフレームに対応したマルチタイムフレーム分析をサポート。
移動平均期間、オフセット、視覚的な設定をカスタマイズ可能。
価格が高値移動平均を上抜け、または安値移動平均を下抜けた際にアラートを提供。
Chart Example
Disclaimer
This indicator is for educational purposes only and should not be considered as financial advice. Always perform your own analysis before making trading decisions.
Long And ShortThe provided script is designed for short-term trading signals based on a combination of indicators and conditions. Let’s break down its key components to understand its functionality and potential ways to improve profitability in short-term trading:
### 1. **Base Line (Donchian Channel)**
- **Indicator Used**: Donchian Channel (baseLine1).
- **Description**: The base line is the average of the highest high and the lowest low over a set period (`basePeriods`). This helps to define the potential range of the asset's price movement.
- **Purpose**: It is typically used to identify breakout levels or trends. In the context of this script, the asset price is compared to this line to signal potential buy or sell signals when the price crosses it.
**Improvement**:
- Adjusting `basePeriods` could provide more sensitive or smoothed signals depending on market volatility. A shorter period may detect faster movements, but could result in more noise, while a longer period might smooth out false signals.
---
### 2. **Volume-Based Signals (Neglected Volume)**
- **Indicators Used**: Volume Relative Strength, moving averages, and volatility-based volume analysis.
- **Description**: This section calculates the relative volume strength by comparing the current volume to a moving average of volume and its standard deviation. If the relative volume surpasses a threshold, it signals a "green" (bullish) or "red" (bearish) bar.
- **Purpose**: Volume is a key factor for confirming price movements. High volume accompanying a price move is often seen as a stronger signal.
**Improvement**:
- You can experiment with the threshold value (`thresh`) to fine-tune the sensitivity to volume spikes. Lowering the threshold may capture more potential moves, while increasing it may help focus on more substantial volume shifts.
- Incorporating a volume average with varying periods could help detect trends with differing strengths.
---
### 3. **Didi Index (Trend Strength)**
- **Indicators Used**: Short, medium, and long moving averages of the asset’s price (curta, media, longa).
- **Description**: The Didi Index compares moving averages of various lengths to identify trend direction. A bullish signal occurs when the short-term average (curta) is above the long-term average (longa), and a bearish signal occurs when the opposite happens.
- **Purpose**: This serves as a trend-following indicator. A crossover of the short-term moving average above the long-term moving average suggests upward momentum, and vice versa for downward momentum.
**Improvement**:
- Adjusting the lengths of `curtaLength`, `mediaLength`, and `longaLength` to better reflect the asset's price action could result in more timely signals.
- Incorporating multiple timeframes can help refine the signals, for example, confirming a Didi bullish crossover on the 15-minute chart with a longer trend on the 1-hour chart.
---
### 4. **SSL Matrix (Support/Resistance Check)**
- **Indicators Used**: Simple Moving Averages (SMA) of high and low prices.
- **Description**: This is a simple trend-following method that checks if the closing price is above or below the 10-period moving average of the highs or lows. If the price is above the 10-period SMA of the highs, a long position is considered. If it is below the SMA of the lows, a short position is considered.
- **Purpose**: This provides additional confirmation of the market's direction.
**Improvement**:
- Fine-tuning the SMA period (currently set to 10) can help balance between noise and trend-following. Shorter periods might capture quicker movements, while longer periods might filter out less relevant signals.
- Combining this with price action analysis (like support/resistance levels) can provide a more precise indication.
---
### 5. **Overall Conditions for Entry/Exit**
- **Long Conditions**:
- The Didi Index is bullish (`curta > longa`).
- The volume signal is green (indicating high relative volume).
- The price is above the Donchian base line.
- The SSL matrix confirms a bullish trend (close is above the SMA of highs).
- **Short Conditions**:
- The Didi Index is bearish (`curta < longa`).
- The volume signal is red (indicating high relative volume).
- The price is below the Donchian base line.
- The SSL matrix confirms a bearish trend (close is below the SMA of lows).
**Improvement**:
- **Combining Multiple Timeframes**: Use the strategy across different timeframes for better confirmation. For example, a long signal on a 15-minute chart confirmed by a bullish trend on the 1-hour chart may provide more reliable entry points.
- **Additional Filters**: Adding a moving average filter (such as a 50-period or 200-period moving average) to further confirm the overall trend direction can help reduce false signals, especially in sideways markets.
---
### 6. **Alerts and Plotting**
- Alerts are set for when long or short conditions are met.
- Visual signals (triangle up for long, triangle down for short) are plotted on the chart for easy identification.
**Improvement**:
- You can adjust the alert conditions based on your risk tolerance and desired win rate. For example, adding a volatility filter (such as ATR or Bollinger Bands) to limit entries during choppy or low volatility periods might improve performance.
- Visual cues (plotshape) could be customized further with different sizes or colors to make them more distinct.
---
### Conclusion: Maximizing Short-Term Profitability
To maximize short-term trading profitability using this script, consider these optimizations:
1. **Tailor Indicator Settings**: Adjust the periods for Donchian, moving averages, and volume thresholds to better match the asset you're trading. Backtest different settings for various market conditions.
2. **Combine Multiple Indicators**: Use a combination of trend-following (Didi Index, SSL) and momentum-based indicators (volume and Donchian) to filter out false signals and increase trade reliability.
3. **Add Volatility Filters**: Introduce volatility filters (such as ATR or Bollinger Bands) to avoid entering trades during low volatility periods or market consolidation.
4. **Multi-Timeframe Confirmation**: Utilize multiple timeframes to confirm the overall trend direction, ensuring trades align with the higher timeframe trend for more reliable outcomes.
5. **Risk Management**: Implement stop-loss and take-profit strategies based on volatility (such as ATR stops) to manage risk effectively, especially in fast-moving markets.
By fine-tuning these parameters and applying prudent risk management, this strategy could provide a solid framework for short-term trading with enhanced profitability potential.
Kinjun CrossoverThe TradingView Pine Script indicator designed to identify potential buy (long) and sell (short) signals based on the price's interaction with the Kijun line—a component of the Ichimoku Cloud indicator—and pivot points derived from exponential moving averages (EMAs) of high and low prices.
Purpose and Usage:
The script is designed to help traders identify potential trend reversals and continuations by analyzing key price levels and movements relative to the Kijun line. By incorporating pivot points and EMA calculations, it aims to filter out noise and focus on significant price actions.
The inclusion assists users in understanding how and when the conditions within the script are met. This transparency enables traders to adjust the input parameters effectively and to gain confidence in the signals generated.
Benefits:
Customizable: The indicator's adjustable parameters allow it to be tailored to different markets and timeframes.
Transparency: Debugging plots provide insights into the internal logic of the script, enhancing understanding and trust in the signals.
Visual Clarity: Clear plotting of the Kijun line and signal arrows aids in quick identification of potential trading opportunities.
Limitations:
False Signals: As with any technical indicator, false signals can occur, especially in volatile or ranging markets.
Lagging Nature: Some components, like EMAs and the Kijun line, are based on historical data and may lag current price action.
Conclusion:
The Kinjun Crossover is a powerful tool for traders seeking to leverage technical analysis in their trading strategies. By focusing on pivotal price movements relative to the Kijun line and providing visual cues for both signals and internal conditions, it enhances the decision-making process and supports more informed trading.
Creen Bollinger BreakoutStrategy Description
This Pine Script strategy is designed for trading on the 1-hour (1H) timeframe. It leverages multiple timeframes and indicators to identify entry and exit opportunities for long and short positions.
Key Features:
Multi-Timeframe Factor (M7F):
If M7F is related to the concept of multiple timeframes, it could indicate an aggregated condition where certain thresholds are met across different time intervals (5-minute, 1-hour, 3-hour in your case). This factor might combine the signals from all timeframes into a unified rule.
Indicators:
Weighted Moving Averages (VWMA) and Hull Moving Averages (HMA) are applied on 5-minute, 1-hour, and 3-hour timeframes to evaluate trend direction and momentum.
Deviation Thresholds: Price deviations are calculated to set thresholds for entry and exit.
Entry Conditions:
Long Positions: Triggered when the price is above all VWMA and HMA indicators across the monitored timeframes, combined with a breakout above an upper threshold.
Short Positions: Triggered when the price is below all VWMA and HMA indicators, combined with a breakdown below a lower threshold.
Exit Conditions:
Take Profit/Stop Loss (TP/SL): Positions close when the price reaches preset take-profit or stop-loss levels.
Dynamic Thresholds: Exits are based on additional thresholds such as breakdowns, outbreaks, or signal line deviations.
Visualization:
Colored signal lines and arrows mark potential breakouts, breakdowns, and high-volatility conditions, improving chart readability.
Green lines and arrows indicate bullish signals, while red signals bearish conditions.
Position Sizing:
Positions are dynamically sized based on account equity and user-defined leverage to ensure responsible risk management.
Default Settings: Multiple closing variables are listed in settings, m7f works the best for the hourly.
Bigger sample size available with deep backtest feature of tradingview.
EMA Cross with Buy/Sell SignalsEMA Cross with Buy/Sell Signal, showcasing a signal at the cross of the ema's.
20MAnia[libTF] This is a sample script of libTF : Find higher/lower TF automatically .
This script shows 20SMAs(ta.sma) and 20EMAs(ta.ema) up to 8TFs.
Firstly about static TF, MAs in 1D/1W/1M are always enabled when CTF is lower than 1D.
CTF and LTF are used preferentially when CTF is 1D or higher.
Secondly about dynamic TF, there are 3 types.
CTF(Current TF) is always enabled.
HTF1-4 are set by CTF and TF scale of libHTF(set by this script: 1,5,15,60,240).
HTF1-4 are enabled when its value is not na.
LTF1 is set by CTF and TF scale of libHTF(set by default: 1,5,15,60,240,1D,1W,1M,3M,12M).
LTF1 is enabled when its value is not na.
In LTF, SMA/EMA is displayed as Ribbon: fill color between oldest value and latest value.
example:
in case of CTF=1,
ltf1=na, ctf=1, htf1=5, htf2=15, htf3=60, htf4=240, and DWM
in case of CTF=60,
ltf1=15, ctf=60, htf1=240, htf2-4=na, and DWM
in case of CTF=1D,
ltf1=240, ctf=1D, htf1-4=na, and WM
in case of CTF=1W,
ltf1=1D, ctf=1W, htf1-4=na, and M
Bravo EMA 9 Compra/VentaThe strategy helps traders make decisions by automating buy and sell signals based on whether the price is trading above or below the 9-period EMA. It is a simple trend-following system designed for quick evaluation of market conditions.
Trend Indicator by SaiExplanation:
Fast MA & Slow MA: The script uses two simple moving averages (SMA) with adjustable lengths (9 and 21 by default).
Trend Detection: The upTrend is when the fast moving average is above the slow moving average, and the downTrend is when the fast moving average is below the slow moving average.
Arrows: Green arrows are plotted when the market is in an uptrend, and red arrows are plotted when it's in a downtrend.
Bar Color: The bars will be colored green for uptrends and red for downtrends to visually highlight the trend.
Daily Moving Averages on Intraday ChartsThis moving average script displays the chosen 5 daily moving averages on intraday (minute) charts. It automatically adjusts the intervals to show the proper moving averages.
In a day there are 375 trading minutes from 9:15 AM to 3:30PM in Indian market. In 5 days there are 1875 minutes. For other markets adjust this data accordingly.
If 5DMA is chosen on a five minute chart the moving average will use 375 interval values (1875/5 = 375) of 5minute chart to calculate moving average. Same 5DMA on 25minute chart will use 75 interval values (1875/25 = 75).
On a 1minute chart the 5DMA plot will use 1875 interval values to arrive at the moving average.
Since tradingview only allows 5000 intervals to lookback, if a particular daily moving average on intraday chart needs more than 5000 candle data it won't be shown. E.g 200DMA on 5minute chart needs 15000 candles data to plot a correct 200DMA line. Anything less than that would give incorrect moving average and hence it won't be shown on the chart.
MA crossover for the first two MAs is provided. If you want to use that option, make sure you give the moving averages in the correct order.
You can enhance this script and use it in any way you please as long as you make it opensource on TradingView. Feedback and improvement suggestions are welcome.
Special thanks to @JohnMuchow for his moving averages script for all timeframes.
A+B+C+...+J=nIndicateur d'addition de valeurs.
Peut-être appliqué à n'importe quoi.
Enjoy
OPEN SOURCE
NzK
Multi-Asset Trading StrategyThis multi-asset trading strategy combines popular technical indicators, such as moving averages (MA) and the Relative Strength Index (RSI), to generate buy and sell signals for trading across various asset classes, including crypto, stocks, and forex. It also includes custom stop loss (SL) and take profit (TP) levels for each trade, providing traders with a simple, yet effective, tool to manage trades directly on the chart.
How It Works:
Moving Averages (MA): The strategy uses two simple moving averages (SMA) of different lengths to determine the trend direction:
A short-term MA (10-period by default) helps capture quicker price movements.
A long-term MA (50-period by default) represents the broader market trend.
A buy signal is generated when the short-term MA crosses above the long-term MA.
A sell signal is triggered when the short-term MA crosses below the long-term MA.
Relative Strength Index (RSI): The RSI is used to confirm whether the market is overbought or oversold. The script considers the RSI to filter out false signals:
A buy signal is confirmed if the RSI is below the overbought level (default 70).
A sell signal is confirmed if the RSI is above the oversold level (default 30).
Take Profit (TP) & Stop Loss (SL): Each trade comes with a dynamically calculated TP and SL level based on a 2% move from the entry price:
For long positions, TP is set 2% above the entry, and SL is set 2% below.
For short positions, TP is set 2% below the entry, and SL is set 2% above.
Signal Background & Alerts:
The background color of the chart changes dynamically based on the signals: green for buy signals and red for sell signals.
Alerts are built-in for both long and short signals, notifying traders when it's time to enter or exit a position
SMA Indicator (20, 50, 100)SMA Script for 20,50 and 100 days
Key Features:
SMA Source:
Users can select the source for SMA calculation (e.g., close, open, high, low, hl2, etc.) via the input.source() function.
Default: close.
Dynamic Customization:
Color: Choose a color for each SMA line.
Visibility: Toggle SMA visibility.
Source: Change the source data used for SMA calculation.
Simplicity: Everything is configurable directly through the script settings.
How to Use:
Paste this script into the Pine Editor on TradingView.
Click Add to Chart.
Open the script settings (gear icon):
Set the desired lengths, colors, and visibility for SMA 20, 50, and 100.
Choose the source (e.g., close, open, high, etc.) for SMA calculations.
This version provides complete flexibility for SMA visualization and customization.
Moving Average Exponential 2 IN 1Moving Average Exponential 2 in 1
USING 2 EMA'S AT ONE WITHOUT BUYING PREMIUM
MADE WITH CHATGPT LOL
Vens' Super SMA GroupIt's a convenient SMA group.
It can import 5, 10, 20, 60, 100, 200 SMA in one time
Multi-Timeframe Trend IndicatorThis indicator combines multi-timeframe analysis with classic technical indicators (RSI, MACD, EMA) to provide a comprehensive view of market trends. By aggregating weighted data across multiple timeframes, it allows traders to make more informed decisions based on broader market dynamics.
The script includes:
Multi-Timeframe Analysis:
The script pulls data from six different timeframes (1m, 5m, 15m, 1h, 4h, and Daily), combining their trends into a single, normalized score. Users can assign weights to each timeframe to adjust its influence on the overall trend calculation.
Technical Indicators:
RSI (Relative Strength Index): Helps assess momentum and overbought/oversold conditions across timeframes.
MACD (Moving Average Convergence Divergence): Tracks trend changes and momentum shifts via MACD line and signal line crossovers.
EMA (Exponential Moving Average): Provides smoothed price trends for each timeframe.
Dynamic Visualization: Color-coded background changes based on trend strength for a user-selected timeframe.
Strong Bullish: Dark green.
Bullish: Light green.
Neutral: Gray.
Bearish: Light red.
Strong Bearish: Maroon.
A detailed, real-time trend table displays the trend levels for all six timeframes, along with the overall market trend.
Customizable Inputs:
EMA Length: Adjustable for users' preferred smoothing period.
Volume Sensitivity: Incorporates volume into trend calculations for more robust signals.
MACD Parameters: Configurable fast, slow, and signal line lengths.
RSI Length: Adjustable period to adapt to market conditions.
Trend Sensitivity: Control thresholds for bullish/bearish conditions.
How It Works:
For each timeframe, the script calculates the percentage difference between the closing price and EMA.
Incorporates volume, RSI, and MACD data to assess trend direction and strength.
Assigns weighted scores to bullish, bearish, and neutral trends based on user-defined sensitivity.
Overall Trend:
Weighted scores across all timeframes are normalized into a single trend score:
2 = Strong Bullish.
1 = Bullish.
0 = Neutral.
-1 = Bearish.
-2 = Strong Bearish.
Visualization:
Outputs a normalized trend score on the chart.
Displays trends for individual timeframes in a table.
Adjusts chart background color dynamically to reflect the trend level of the selected timeframe.
How to Use:
Select your preferred EMA, RSI, and MACD settings based on your trading style.
Assign weights to timeframes to prioritize higher or lower timeframes in the overall trend calculation.
Observe the real-time table to monitor trend levels across different timeframes.
Use the background color as an additional visual aid for the selected timeframe's trend.
Important Notes:
This script is designed from scratch and combines multiple classic indicators in a unique way.
Weighted multi-timeframe analysis adds significant value compared to standalone indicators.
Transparency:
This is an open-source script, allowing users to view and understand the underlying logic.
No lookahead bias is used, ensuring realistic signals for traders.
Limitations:
This is not a predictive tool and does not guarantee future performance.
It is best used as a supplementary indicator alongside your existing trading strategy.
Backtesting:
If using this script for backtesting, ensure realistic settings for commissions, slippage, and trade sizing.
Acknowledgments:
While inspired by traditional indicators like RSI, MACD, and EMA, this script does not copy or reproduce any publicly available scripts.
Special care has been taken to follow TradingView's guidelines for originality and utility.
Use Cases:
Identify strong trends in volatile markets.
Spot multi-timeframe momentum alignment.
Gain an overview of market sentiment across timeframes at a glance.
This script is a powerful tool for trend-following traders and those seeking a multi-timeframe edge. Adjust the inputs and settings to align with your trading style, and let the normalized trend score guide your decisions.
Chat Indikator E200-Perioden EMA (Exponential Moving Average):
Der 200-EMA dient als langfristiger Trendfilter. Ein Kurs oberhalb des 200-EMA deutet auf einen Aufwärtstrend hin, während ein Kurs darunter auf einen Abwärtstrend hinweist.
MACD (Moving Average Convergence Divergence):
Der MACD wird verwendet, um das Momentum des Marktes zu bestimmen. Ein „Crossover“ des MACD von unten nach oben (bullish) und von oben nach unten (bearish) liefert zusätzliche Kauf- oder Verkaufssignale.
RSI (Relative Strength Index):
Der RSI wird verwendet, um überkaufte oder überverkaufte Marktbedingungen zu erkennen. Divergenzen im RSI (d.h. wenn der RSI sich in die entgegengesetzte Richtung zum Preis bewegt) liefern wichtige Hinweise auf mögliche Umkehrpunkte.
Bullische Divergenz: Wenn der Preis ein neues Tief erreicht, der RSI jedoch ein höheres Tief bildet, kann dies ein Signal für einen bevorstehenden Aufwärtstrend sein.
Bärische Divergenz: Wenn der Preis ein neues Hoch erreicht, der RSI jedoch ein niedrigeres Hoch bildet, könnte dies auf einen bevorstehenden Abwärtstrend hinweisen.
Volumen-Spike:
Das Volumen muss über dem 20-periodischen Durchschnitt liegen, um die Signale zu bestätigen. Ein starkes Volumen in Verbindung mit einem Signal aus den anderen Indikatoren verstärkt die Wahrscheinlichkeit einer erfolgreichen Bewegung.
Fibonacci-Retracements:
Der Indikator verwendet Fibonacci-Niveaus, um potenzielle Unterstützungs- und Widerstandszonen zu identifizieren. Die wichtigsten Fibonacci-Level (0.618, 0.382 und 1.618) werden auf dem Chart angezeigt, um den Einstieg und das Ausstiegspotenzial zu visualisieren.
Multiple Moving Average Touch AlertMultiple Moving Average Touch Alert Indicator
This versatile indicator helps traders identify when price interacts with multiple moving averages, featuring customizable settings and visual alerts. It overlays four different moving averages on your chart and signals when price touches any of them.
Key Features:
Four independent moving averages with full customization
Visual background highlighting when price touches any MA
Flexible timeframe settings for each moving average
Multiple MA type options (SMA, EMA, WMA, VWMA)
Built-in alert conditions for each MA touch
Adjustable color and transparency settings
Toggle visibility for each moving average
Default Settings:
MA1: 15-period SMA (Light Blue)
MA2: 30-period SMA (Magenta)
MA3: 60-period SMA (Blue)
MA4: 240-period SMA (Red)
How It Works
The indicator monitors price action around each moving average and triggers both visual and optional alerts when the price touches any of the MAs. A "touch" is defined as when either the high or low of the candle crosses through the moving average line. When a touch occurs, the background changes color to match the corresponding MA (with adjusted transparency).
Customization Options
Each moving average can be independently configured with:
Period length
MA type (Simple, Exponential, Weighted, or Volume-Weighted)
Custom timeframe
Color and transparency
Show/hide toggle
Use Cases
Identify potential support and resistance levels
Spot price interaction with key moving averages
Multi-timeframe analysis
Trade entry and exit points
Trend following strategies
Dynamic support/resistance zones
Alert System
Built-in alert conditions for each moving average make it easy to set up notifications when price touches any of your selected MAs. Perfect for traders who want to stay informed of important price-MA interactions without constantly watching the charts.
This indicator is ideal for both novice and experienced traders who use moving averages in their trading strategy and want to automate the detection of price-MA interactions.
Tags: Moving Average, Multi-MA, Technical Analysis, Price Action, Support Resistance, Alerts, Trend Following
50 & 200 EMA StrategyKey Features :
50 EMA and 200 EMA: The script calculates and plots these two EMAs.
Buy Signal: When the 50 EMA crosses above the 200 EMA, a green "BUY" label will appear on the chart, and you'll receive an alert.
Sell Signal: When the 50 EMA crosses below the 200 EMA, a red "SELL" label will appear, and a sell alert will be triggered.
Alerts: You will get alerts for both buy and sell signals.
Visual Background: The background turns green during a bullish crossover and red during a bearish crossover.
Closing Price OverlayFor those who use Smart Money Concepts with a linear Closing Price chart, this "indicator" simply lays that chart on top of your candle chart so that you can toggle it for fast reference rather than looking at two separate panes. It is based on a simple moving average with the interval set to "1" and the source as "close".
EMA 20, 50, 200Colored EMA 20, 50, 200 days. Can be used to detect possible trend reversal when all three EMA's are crossing.
