ULTIME RSI Buy/Sell 70%- by Baptiste Impact tradingConditions for Buy/Sell:
1: Do not take trades when the RSI curve is flat (even if there is an indication).
2: Place the stop-loss (SL) a few points above the relevant candle.
3: Use a 2:1 risk-reward (RR) ratio and set break-even (BE) at the entry price once RR1 is reached.
4: Take partial profit at RR2 with 50% closure and let the remaining position run. Cut if there is a change in direction.
Your indicator "Baptiste ULTIME RSI Buy/Sell 70%- Impact Trading" is an advanced tool based on the Relative Strength Index (RSI) designed to display buy and sell signals with specific crossover conditions and a cooldown logic to avoid consecutive signals. It includes:
Enhanced RSI calculated with configurable smoothing methods (EMA, SMA, RMA, TMA).
Trading signals based on bullish and bearish crossovers of the RSI with a signal line, integrating a 15-bar delay between signals to limit the frequency of alerts.
Customizable overbought/oversold levels with zone fill for clear visualization of market extremes.
Visual display of buy/sell signals with arrows and level lines, all presented in a separate window for better readability.
This indicator helps identify potential entry and exit points while reducing false signals through its cooldown logic.
頻帶和通道
Market Structure Algo V2 [OmegaTools]The Market Structure Algo V2 (MS Algo V2) is an advanced TradingView indicator developed by OmegaTools to provide traders with a comprehensive analysis of market structure. This tool refines the insights provided by its predecessor, combining enhanced pivot point analysis, dynamic market structure scoring, and zone visualization to deliver an intuitive view of potential market movements. Through custom settings, the MS Algo V2 allows users to tailor the indicator to fit their trading strategies more closely, offering enhanced adaptability to both short-term and long-term trends.
Core Functionality
The MS Algo V2 differentiates between internal and external market structures by analyzing pivot highs and lows over user-defined periods. The internal market structure focuses on shorter timeframes, providing insights into recent price action, while the external structure considers broader trends. This dual-layered approach helps traders distinguish between immediate and overarching market trends.
The indicator introduces improved visualization for areas of interest or zones around pivot points, adjustable through zone distance settings. These zones serve as potential support and resistance areas, helping traders anticipate price reactions at key levels. In addition to the zones, the indicator now provides gradient-based color coding on bars, reflecting the market structure’s bullish or bearish intensity. This visual enhancement aids in quickly interpreting the current trend's strength.
Dynamic signal generation has been refined in MS Algo V2. The indicator now offers both classic signals and breakout signals based on the market structure, including entries, exits, and change-of-character (CHoCH) alerts. Signals are generated based on price interactions with pivot levels, indicating potential long and short opportunities.
Operational Mechanism
The MS Algo V2 calculates pivot highs and lows over specified periods to define internal and external market structures. A market structure score is derived from these pivot points, classifying the market into bullish or bearish extremes. Signals are generated as the closing price interacts with these levels, marking entry and exit points based on the calculated structure.
A new feature in this version is zone visualization, where zones are plotted around a dynamic moving average derived from the exponential and simple moving averages (EMA and SMA). The zones are adjusted based on ATR (Average True Range) and the specified zone distance percentile, providing a clear visual representation of potential support and resistance regions. The external and internal zones are represented with different levels of transparency for quick reference.
Usage Guidelines
To apply the MS Algo V2 to your TradingView charts, adjust the internal and external market structure settings to match your preferred analysis timeframes. The line style and width of each structure can also be customized for a tailored view. The Zone Distance setting allows users to define the percentile range of the zones around the moving average, providing further flexibility in identifying potential areas of support and resistance.
For a color-coded overview of market sentiment, the bar gradient feature can be enabled. This option uses a gradient that reflects the bullish or bearish intensity of the market structure, giving traders a visual cue on the market’s overall trend. Color-coded signals and zone fill areas further assist in interpreting the current market structure and identifying potential trade areas.
The indicator includes customizable alerts for long and short signals, as well as specific breakout alerts (BOS) and change-of-character (CHoCH) signals. These alerts can help traders stay informed about significant market structure changes, supporting timely trading decisions.
Understanding the Indicator’s Originality
The MS Algo V2 stands out due to its robust integration of pivot analysis, zone visualization, and market structure scoring, offering a unique perspective on market dynamics. With features like color-coded signals, bar gradients, and configurable alerts, MS Algo V2 provides an edge in understanding both the current market environment and potential turning points. This indicator’s ability to represent the market’s structure visually makes it a powerful addition to any trader’s toolkit, especially for those seeking a deeper, multi-layered approach to market analysis.
La strategia di PaoloLa strategia consiste nell'entrata a mercato quando viene rotto un order block.
Uscita da mercato in perdita se il mercato ritorna contro e si cancella il breaker block. Altrimenti si rimane a mercato fino a quando non c'è una rottura ribassista di un bullish order block.
Inoltre si possono incrementare le entrate ogni volta che tocca un bullish order block in caso di long oppure un bearish order block in caso di short
Initial Balance with % height originally created by noop-noopThis TradingView indicator is designed to assist traders in identifying and analyzing the Initial Balance (IB) range, which is defined by the high and low of the first trading session (e.g., the first hour or other specified time) of the trading day. Commonly used by day traders, this opening range indicator provides valuable insights into market sentiment and potential breakout levels.
Key Features:
IB High and Low Lines: Draws horizontal lines at the high (IBH) and low (IBL) of the Initial Balance range to serve as potential support and resistance levels.
Extended Levels: Optionally displays extra levels (multiples of the IB range) above and below the initial balance range, helping traders identify key breakout or breakdown zones.
Intermediate Levels: Adds a 50% level within the IB range to provide a midpoint reference, useful for gauging market direction within the range.
Visual Zone Highlighting: Colors the IB calculation period to visually separate it on the chart.
Dynamic Labeling: Shows percentage-based labels and IB delta analytics for quick reference, including the IB range height as a percentage.
Historical Data Tracking: Analyzes IB range statistics over the past 20 days, displaying maximum, average, and minimum IB deltas to help traders understand typical range behavior.
Nami Bands with Future Projection [FXSMARTLAB]The Nami Bands ( Inspired by "Nami", meaning "wave" in Japanese) are two dynamic bands around price data: an upper band and a lower band. These bands are calculated based on an Asymmetric Linear Weighted Moving Average of price and a similarly asymmetric weighted standard deviation. This weighting method emphasizes recent data without overreacting to short-term price changes, thus smoothing the bands in line with prevailing market conditions.
Advantages and Benefits of Using the Indicator
* Volatility Analysis: The bands expand and contract with market volatility, helping traders assess periods of high and low volatility. Narrow bands indicate low volatility and potential consolidation, while wide bands suggest increased volatility and potential price movement.
* Dynamic Support and Resistance Levels: By adapting to recent trends, the bands serve as dynamic support (lower band) and resistance (upper band) levels, which traders can use for entry and exit signals.
* Overbought and Oversold Conditions: When prices reach or cross the bands’ outer limits, it may signal overbought (upper band) or oversold (lower band) conditions, suggesting possible reversals or trend slowdowns.
* Trend Confirmation and Continuation: The slope of the central moving average confirms trend direction. An upward slope generally indicates a bullish trend, while a downward slope suggests a bearish trend.
* Anticipating Breakouts and Reversals: The projected bands help identify where price movements may head, allowing traders to anticipate potential breakouts or reversals based on projected support and resistance.
Indicator Parameters
Source (src): The price data used for calculations, by default set to the average of high, low, and close (hlc3).
Length: The period over which calculations are made, defaulted to 50 periods.
Projection Length: The length for future band projection, defaulted to 20 periods.
StdDev Multiplier (mult): A multiplier for the standard deviation, defaulted to 2.0.
Internal Calculations
1. Asymmetric Linear Weighted Moving Average of Price
The indicator uses an Asymmetric Linear Weighted Moving Average (ALWMA) to calculate a central value for the price.
Asymmetric Weighting: This weighting technique assigns the highest weight to the most recent value, with weights decreasing linearly as the data points become older. This structure provides a nuanced focus on recent price trends, while still reflecting historical price levels.
2. Asymmetric Weighted Standard Deviation
The standard deviation in this indicator is also calculated using asymmetric weighting:
Purpose of Asymmetric Weighted Standard Deviation: Rather than aiming for high sensitivity to recent data, this standard deviation measure smooths out volatility by integrating weighted values across the length period, stabilizing the overall measurement of price variability.
This approach yields a balanced view of volatility, capturing broader market trends without being overly reactive to short-lived changes.
3. Upper and Lower Bands
The upper and lower bands are created by adding and subtracting the asymmetric weighted standard deviation from the asymmetric weighted average of price. This creates a dynamic envelope that adjusts to both recent price trends and the smoothed volatility measure:
These bands represent adaptable support and resistance levels that shift with recent market volatility.
Future Band Projection
The indicator provides a projection of the bands based on their current slope.
1. Calculating the Slope of the Bands
The slope for each band is derived from the difference between the current and previous values of each band.
2. Projecting the Bands into the Future
For each period into the future, up to the defined Projection Length, the bands are projected using the current slope.
This feature offers an anticipated view of where support and resistance levels may move, providing insight for future market behavior based on current trends.
ViganThe Vigan is a range bound momentum oscillator. The Vigan indicator is designed to display the location of the close compared to the high/low range over a user defined number of periods. This indicator is used for three things; Identifying overbought and oversold levels, spotting divergences and also identifying bull and bear set ups or signals.
Bollinger Bands with CCI and RSI Crossover Strategy이 코드의 주요 기능:ㅁ
CCI와 RSI 지표를 차트에 추가하여 표시합니다.
ta.crossover() 함수를 사용하여 CCI가 RSI를 상향 교차할 때 매수 신호를 표시합니다.
ta.crossunder() 함수를 사용하여 CCI가 RSI를 하향 교차할 때 매도 신호를 표시합니다.
교차 지점에 매수/매도 신호를 차트에 표시합니다.
VIX IndicatorShows volatility using supertrend indicator.
It grabs the latest pivot data from CBOE:VIX (4h by default).
Can be used in options trading.
Bitcoin MVRV Z-Score OverlayThis indicator overlays a buy and sell threshold onto a BTCUSD chart. These thresholds are calculated using the MVRV Z-Score and the provided threshold values for the MVRV Z-Score.
DrEZ SR BandsThis script used the 34 EMA & 21 SMA to create a primary support/resistance bands as well as additional bands above & below the primary band that are offset by a modifiable average true range (ATR) multiplier.
Prame Weekly RSI and EMA Strategy Prame Weekly RSI and EMA Strategy
weekly RSI 14 is above 55
EMA 9 weeks of weekly RSI 14 is more than EMA 21 weeks of weekly RSI 14
price EMA 9 weeks is more than price EMA 21 weeks
10 EMA Break with Volume ConfirmationTracks when price breaks above or below 10 EMA with above average volume useful for meaningful breaks above or below as well as false breaks with easy to read icons
enjoy :)
Period MarkerThis Period Marker Indicator for TradingView is a visual tool that allows you to highlight a specific date range on your chart. It uses a shaded background color to mark the defined period, making it easy to visually separate and focus on specific time intervals. This is especially useful for analyzing historical events, comparing specific timeframes, or marking earnings seasons or other critical periods in price action.
Key Features
Easy Date Range Selection:
The indicator has a calendar-style date input for both the start and end dates. This allows for quick and precise selection of date ranges without manually entering each date component (year, month, day).
Customizable Period Highlight:
When active, the indicator shades the background of the chart over the specified period. The default highlight color is a semi-transparent green, but this can be customized within the script to any color and opacity you prefer.
The shaded background helps you easily identify and focus on the defined date range.
Dynamic Adjustment:
You can adjust the start and end dates in real-time, and the background shading will automatically update to reflect the new period, allowing flexibility in testing and viewing multiple periods quickly.
Practical Uses
Event Marking: Track significant historical events (e.g., economic data releases, geopolitical events) to see their effects on price action.
Seasonal Analysis: Highlight and compare seasonal trends, such as quarterly earnings or year-end rallies, across multiple years.
Backtesting Specific Periods: When analyzing strategies, you can visually isolate specific date ranges to review performance or behavior in defined intervals.
The Period Marker Indicator is a simple yet effective way to enhance time-based analysis on TradingView, helping you gain insights by focusing on relevant periods with ease.
Ethereum MVRV Z-Score OverlayThis indicator overlays a buy and sell threshold onto a ETHUSD chart. These thresholds are calculated using the MVRV Z-Score and the provided threshold values for the MVRV Z-Score.
Minkiu Bollinger Band Strategy Convert all Indicator specific code to Strategy specific code. Don't use any code that a TradingView Strategy won't support. Especially timeframes and gaps. Define those in code so they are semantically the same as before.
OBV Trend + Price ActionThis indicator active Buy / Sell Signal , with no stop loss or take profit.
The signal are activated:
1st Based on OBV Trend Breaks.
2.- Price Action to confirm
DeFi Hungary Master Indicator The chart displays buy and sell signals using an indicator based on trend analysis.
The indicator highlights potential entry (buy) and exit (sell) points for trades or investment on all differnt trading pairs, marked by green "BUY" and red "SELL" labels, which appear near key support and resistance levels or trend reversals.
Enhanced 1-Hour Strategy for Maximized ReturnsEnhanced 1-Hour Strategy for Maximized Returns
Overview
This is a trend-following and volatility-based breakout strategy designed for trading on the one-hour timeframe. It combines moving average crossovers, RSI for momentum, and Bollinger Bands as a volatility filter to confirm entries and exits. With a focus on maximizing returns, this strategy is tuned to work with leveraged trading and dynamically allocates position sizes based on available equity.
How the Strategy Works
Trend Detection: The strategy uses two moving averages—a short-term and a long-term—to detect trends.
A crossover of the short moving average above the long moving average indicates a potential upward trend.
Conversely, a crossover of the short moving average below the long moving average suggests a downward trend.
Momentum Confirmation with RSI: To avoid entering trades in low-momentum conditions, the strategy employs the Relative Strength Index (RSI).
A long (buy) trade is considered only when RSI is above a set threshold, indicating upward momentum.
A short (sell) trade is considered only when RSI is below a set threshold, indicating downward momentum.
Volatility Filter with Bollinger Bands: Bollinger Bands act as a filter to ensure the strategy enters trades only during periods of higher volatility.
For a long trade, the price must be above the lower Bollinger Band.
For a short trade, the price must be below the upper Bollinger Band.
ATR-Based Stop-Loss and Take-Profit: The strategy uses the Average True Range (ATR) to set stop-loss and take-profit levels dynamically based on market volatility.
The stop-loss level is set at a certain multiplier of the ATR below (for long trades) or above (for short trades) the entry price.
The take-profit level is set at a larger ATR multiplier, allowing the strategy to capture larger movements.
Position Sizing with Leverage: The position size is calculated as a percentage of equity, leveraging it to maximize returns as the account balance grows.
Key Variables and Adjustable Parameters
Here are the adjustable inputs in the strategy, allowing traders to tailor it to their preferences:
Moving Averages:
Short MA Length (shortMaLength): Length of the short-term moving average (default: 14).
Long MA Length (longMaLength): Length of the long-term moving average (default: 50).
These lengths can be adjusted to make the moving average crossovers more or less sensitive.
RSI Settings:
RSI Length (rsiLength): Length of the RSI calculation (default: 14).
RSI Upper Threshold (rsiUpperThreshold): Minimum RSI value required for long trades (default: 60).
RSI Lower Threshold (rsiLowerThreshold): Maximum RSI value allowed for short trades (default: 40).
Adjusting these thresholds can help control the momentum conditions required for trades.
ATR Multipliers for Stop-Loss and Take-Profit:
ATR Stop-Loss Multiplier (atrMultiplierStopLoss): Multiplier for the ATR to set the stop-loss level (default: 1.5).
ATR Take-Profit Multiplier (atrMultiplierTakeProfit): Multiplier for the ATR to set the take-profit level (default: 3.0).
Tuning these multipliers can help in balancing risk and reward, depending on market volatility.
Bollinger Bands Settings:
Deviation (dev): The standard deviation multiplier for Bollinger Bands (default: 2).
Bollinger Bands provide a volatility filter, and this multiplier affects the width of the bands.
Position Sizing and Leverage:
Leverage (leverage): The leverage applied to the position (default: 10).
Allocation Percent (allocationPercent): The percentage of equity allocated to each trade (default: 0.1 or 10%).
Adjusting these settings can increase or decrease the position size relative to your equity, helping control risk exposure.
trailing stpTHAICHUYENTOAN I WANT TO BE A MILIONARE\
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