EMA 50/SMA 200 CrossoverJust your basic Cross Over of the 50EMA and 200SMA with indication of the crossover.
Скользящие средние
Custom Sell Signal IndicatorThis indicator generates a sell signal when the following conditions are met: #1: The 9-day moving average crosses below the 21-day moving average. #2: RSI is above 70. #3: MACD line crosses below the signal line.
Adjust the settings to fit your desired specifics.
Custom Signal IndicatorThis indicator generates a buy signal when the following conditions are met: #1: The 9-day moving average crosses above the 21-day moving average. #2: RSI is below 30. #3: MACD line crosses above the signal line. #4: Volume is higher than usual. Adjust the parameters to customize.
This is my first script, so bear with me and any suggestions on improving it are highly welcome!
U Bot V6This indicator is simply the updated of UT Bot Alerts by QuantNomad.
Credit @QuantNomad
UT Bot indicator was initially developer by Yo_adriiiiaan
The idea of original code belongs HPotter
I translated it from V4 to V5 and V6, for a better alignement with Pine Script requirements.
I publish it in the purpose of integrating it into a strategy that I will publish later, in free access (in the spirit of Tradingview community).
SMA y HMA PersonalizablesEste indicador puede ser útil para observar cómo se comportan diferentes tipos de medios móviles (SMA y HMA) con distintos períodos en un gráfico de precios. Las SMA son buenas para ver tendencias a largo plazo, mientras que la HMA es conocida por su capacidad para reducir el retraso.
Moving Average with Std DeviationsA simple indicator to show a Moving Average with the option to show Standard Deviations of that Moving Average.
When price moves to the outer bands, this can indicate that it is becoming over extended, and may revert back to the mean, have a pull back in a trend, amongst other things.
Created for my own use, but you are welcome to use it if you find it useful.
Thanks!
SMA 20/50/100/200 by TPThis calculates the SMA 20/50/100/200 and changes the color when it falls through the support level.
EMA 12/26 by TPThis is to provide the EMA 12/26. It essentially changes the color based on the 12 and 26
EMA X OverA straightforward indicator that plots two exponential moving averages (EMAs). Upon a crossover between the two EMAs, the chart will display a marker.
Furthermore, when the price closes above or below the long EMA, the chart will also indicate this occurrence with a marker.
EMA Squeeze RythmHere's a description of this indicator and its purpose:
This indicator is based on the concept of price consolidation and volatility contraction using multiple Exponential Moving Averages (EMAs). It primarily looks for "squeeze" conditions where the EMAs converge, indicating potential market consolidation and subsequent breakout opportunities.
Key Features:
1. Uses 8 EMAs (20-55 period) to measure price compression
2. Measures the distance between fastest (20) and slowest (55) EMAs in ATR units
3. Identifies four distinct states:
- PRE-SQZE: Initial convergence of EMAs
- SQZE: Tighter convergence
- EXT-SQZE: Extreme convergence (highest probability of breakout)
- RELEASE: EMAs begin to expand (potential breakout in progress)
Best Used For:
- Identifying potential breakout setups
- Finding periods of low volatility before explosive moves
- Confirming trend strength using higher timeframe analysis
- Trading mean reversion strategies during squeeze states
- Catching momentum moves during release states
The indicator works well on any timeframe but is particularly effective on 15M to 4H charts for most liquid markets. It includes higher timeframe analysis to help confirm the broader market context.
Critical MA's for Osiris(50, 111, 200)Indicator Name: Critical MAs for Osiris (50, 111, 200)
This indicator plots three critical Simple Moving Averages (SMA) — 50, 111, and 200 periods — directly on the chart. It provides a clear visual representation of these key moving averages, which are widely used for analyzing market trends, identifying potential support and resistance levels, and assessing overall market direction.
Features:
1-Moving Average Calculation:
50-period SMA: Represents the short-term trend.
111-period SMA: Serves as a medium-term trend line.
200-period SMA: Indicates the long-term trend and is often used as a critical benchmark for trend reversals.
2-Visualization:
The 50-period SMA is displayed in blue, providing a quick reference for short-term price movements.
The 111-period SMA is displayed in orange, offering insights into medium-term price behavior.
The 200-period SMA is displayed in red, signifying the long-term market direction.
3-Customizable Parameters:
Each moving average length is defined as a constant, making it easy to adjust the indicator for different strategies.
Use Cases:
-Trend Analysis:
The alignment and slopes of these moving averages help identify the direction of the trend (bullish, bearish, or sideways).
-Support and Resistance:
Price reactions around these moving averages can signal potential support or resistance levels.
-Market Strength:
The position of the price relative to the moving averages can provide insights into the strength or weakness of the current trend.
This indicator is particularly useful for traders seeking to incorporate a multi-timeframe perspective into their trading strategies. It is simple, effective, and applicable across various financial instruments, including stocks, forex, and cryptocurrencies.
Jalambi Paul modelKey Components
Inputs:
Window Length (window): The number of periods for calculating the rolling statistics. Default is set to 50.
Risk Percentage (risk_percentage): The percentage of capital risked per trade. Default is 1.0%.
Stop Loss and Take Profit Levels:
Stop Loss: Default is 2% of the entry price.
Take Profit: Default is 4% of the entry price.
Logarithmic Returns:
Calculates the logarithmic return of the price series using:
log_return
=
log
(
close
close
)
log_return=log(
close
close
)
This helps in normalizing price changes.
Rolling Statistics:
Mean (rolling_mean): Calculated over the rolling window using the Simple Moving Average (SMA).
Standard Deviation (rolling_std): Measured over the rolling window to understand volatility.
Shiryaev-Zhou Index (SZI):
The SZI is a standardized z-score:
SZI
=
log_return
−
rolling_mean
rolling_std
SZI=
rolling_std
log_return−rolling_mean
This metric is used to detect overbought or oversold conditions.
Signal Generation:
Buy Signal (long_signal): Triggered when SZI is below a fixed threshold (-2.0).
Sell Signal (short_signal): Triggered when SZI is above a fixed threshold (2.0).
Visuals on the Chart:
Buy signals are plotted below the price bars with green upward-pointing labels.
Sell signals are plotted above the price bars with red downward-pointing labels.
Trade Execution:
Entry Conditions:
Long positions are opened when long_signal is true.
Short positions are opened when short_signal is true.
Exit Conditions:
Stop Loss and Take Profit levels are calculated based on the entry price and the respective percentage inputs.
Positions are closed automatically when these levels are hit.
Visualization:
Plots the stop-loss (red line) and take-profit (green line) levels on the chart for easier tracking.
XRP/USD Scalping Strategy with Alerts
The strategy in your script is designed for scalping XRP/USD, utilizing a combination of Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Volume analysis, and N-Bar detection to identify potential buy and sell signals. It aims to make quick, small profits by taking advantage of short-term price movements. Here's a detailed breakdown:
Key Components of the Strategy:
Exponential Moving Averages (EMAs):
Short EMA (8-period) and Long EMA (21-period) are used to identify the trend.
A buy signal is generated when the Short EMA crosses above the Long EMA (bullish crossover).
A sell signal is generated when the Short EMA crosses below the Long EMA (bearish crossunder).
Relative Strength Index (RSI):
The RSI (with a 14-period) is used to assess whether the market is in an overbought or oversold condition.
For a long position, the strategy checks if the RSI is above 50 to ensure that the market is not in an oversold condition.
For a short position, the strategy checks if the RSI is below 50, which signals a weaker or bearish market.
Volume Analysis:
The strategy checks if the current volume is greater than the average volume over a defined period (20 bars in this case).
Higher volume indicates stronger market participation and gives more confidence in the signals.
N-Bar Detection:
The strategy uses a custom function to detect the price action of the last n bars.
Bullish N-bars: If the lowest low of the last n_bars is higher than the lowest low of the previous 2*n_bars (indicating a bullish reversal pattern).
Bearish N-bars: If the highest high of the last n_bars is lower than the highest high of the previous 2*n_bars (indicating a bearish reversal pattern).
Buy (Long) Condition:
EMA Crossover: The Short EMA crosses above the Long EMA, indicating a potential upward trend.
RSI > 50: The market is not in an oversold state (indicating that the market is bullish).
Volume > Average Volume: The current volume is higher than the average volume, signaling increased market activity.
Bullish N-bars: The price action of the last n_bars shows a bullish reversal, providing additional confirmation for a buy.
Sell (Short) Condition:
EMA Crossunder: The Short EMA crosses below the Long EMA, indicating a potential downward trend.
RSI < 50: The market is not in an overbought state (indicating that the market is bearish).
Volume > Average Volume: The current volume is higher than the average volume, signaling increased market activity.
Bearish N-bars: The price action of the last n_bars shows a bearish reversal, providing additional confirmation for a sell.
Take Profit and Stop Loss:
The strategy includes a take profit and stop loss mechanism to limit the risk and secure profits.
Take Profit: Set at 1.5% of the entry price.
Stop Loss: Set at 0.7% of the entry price.
Alerts:
The strategy has alerts for both buy and sell signals.
When the buy or sell conditions are met, it triggers an alert, sending notifications (pop-up, email, etc.) to the user.
Summary of the Strategy:
Trend Following with EMA: The strategy relies on the crossover of short and long EMAs to determine the trend direction.
Momentum Analysis with RSI: The RSI confirms that the market is not overbought or oversold, ensuring that the trade is made in favorable conditions.
Volume Confirmation: Only signals with increased market participation (higher volume than the average) are considered valid.
Reversal Patterns with N-bars: The N-bar detection adds a layer of confirmation for potential reversals, improving the accuracy of entry signals.
Risk Management: The take profit and stop loss levels are designed to capture small, profitable moves while protecting from large losses.
This scalping strategy aims for quick, small profits with controlled risk, making it suitable for highly liquid markets like XRP/USD. The use of EMAs, RSI, volume analysis, and N-bar patterns increases the reliability of the signals and helps minimize false entries.
Relative Strength Index 30 45 55 70 levelsi use this indicator to confirm my trades , u can change the settings and use it as u perefer , the diffrence between the main rsi and this is just added 45 and 55 levels , nothing else good luck
5 EMA/SMA by LookTajChỉ báo 5 đường MA/EMA
- Đường MA dốc lên thể hiện bằng nét liền
- Đường MA dốc xuống thể hiện bằng nét đứt
- Điểm bắt đầu dốc lên đánh dấu bằng dấu + màu trắng
- Điểm bắt đầu dốc xuống đánh dấu bằng dấu . màu vàng
Bull Bear Power EMAAdded an EMA moving average to the built-in BBP indicator to facilitate identification of BBP trends
@Naveen-Momentum BuyThis Indicator showing Buy/Sell signals.
RSI(14)>60 BUY and
Macd and RS(55)andRS(21)>Nifty also
Ema's
4 MAsThe 4 MAs indicator is a moving average crossover tool designed to identify market trends and provide potential entry and exit signals. By plotting four simple moving averages (SMAs) of different periods, this indicator helps traders understand both short-term and long-term market dynamics. It is particularly suited for trend-following strategies and can be applied across various timeframes, such as daily, hourly, or intraday charts.
Features:
1. Moving Average Visualization:
- Short-term Moving Averages (MA 5 and MA 10): Highlight short-term market fluctuations.
- Mid-term Moving Average (MA 15): Serves as a reference for medium-term trends.
- Long-term Moving Average (MA 30): Represents the broader market trend.
2. Trend Signal Detection:
- Bullish Signal: When the 5-period moving average crosses above the 30-period moving average (golden cross), a yellow upward arrow is displayed below the price bar, indicating a potential uptrend.
- Bearish Signal: When the 5-period moving average crosses below the 30-period moving average (death cross), a red downward arrow is displayed above the price bar, signaling a potential downtrend.
Key Advantages:
- Multi-timeframe Versatility: Works well on various timeframes, making it suitable for both short-term scalping and long-term trend analysis.
- Simple Visualization: Clear signals and trend identification through color-coded moving averages and signal arrows.
- Customizable: The SMA periods can be adjusted to align with the trader's preferred strategy or market conditions.
7 Exponential Moving Averages with ATR & Volume VolatilityThis indicator features 7 EMA lines based on Fibonacci sequences, along with rising ATR and volume data, highlighting increased volatility by changing the background color of candlesticks.
It aims to assist users in tracking price movements while showing whether volatility increases during EMA crossovers.
Users can easily customize the indicator by adjusting parameters such as EMA, ATR, and volume lengths, as well as colors, in the settings menu to suit their personal preferences.
EMA Strategy with Price & EMA5 & EMA8 < EMA50 ConditionEMAile al-sat testi gerçekleştirildi.
Stratejiler güncellenmeye devam edecek. vakit olursa tabi
Multi-Timeframe Pattern & Trend Forecast - Akash 1this indicator forecasts and share signals based on multi timeframe and trends based on EMAs.