Fake Double ReserveThis Pine Script code implements the "Fake Double Reserve" indicator, combining several widely-used technical indicators to generate Buy and Sell signals. Here's a detailed breakdown:
Key Indicators Included
Relative Strength Index (RSI):
Used to measure the speed and change of price movements.
Overbought and oversold levels are set at 70 and 30, respectively.
MACD (Moving Average Convergence Divergence):
Compares short-term and long-term momentum with a signal line for trend confirmation.
Stochastic Oscillator:
Measures the relative position of the closing price within a recent high-low range.
Exponential Moving Averages (EMAs):
EMA 20: Short-term trend indicator.
EMA 50 & EMA 200: Medium and long-term trend indicators.
Bollinger Bands:
Shows volatility and potential reversal zones with upper, lower, and basis lines.
Signal Generation
Buy Condition:
RSI crosses above 30 (leaving oversold territory).
MACD Line crosses above the Signal Line.
Stochastic %K crosses above %D.
The closing price is above the EMA 50.
Sell Condition:
RSI crosses below 70 (leaving overbought territory).
MACD Line crosses below the Signal Line.
Stochastic %K crosses below %D.
The closing price is below the EMA 50.
Visualization
Signals:
Buy signals: Shown as green upward arrows below bars.
Sell signals: Shown as red downward arrows above bars.
Indicators on the Chart:
RSI Levels: Horizontal dotted lines at 70 (overbought) and 30 (oversold).
EMAs: EMA 20 (green), EMA 50 (blue), EMA 200 (orange).
Bollinger Bands: Upper (purple), Lower (purple), Basis (gray).
Labels:
Buy and Sell signals are also displayed as labels at relevant bars.
//@version=5
indicator("Fake Double Reserve", overlay=true)
// Include key indicators
rsiLength = 14
rsi = ta.rsi(close, rsiLength)
macdFast = 12
macdSlow = 26
macdSignal = 9
= ta.macd(close, macdFast, macdSlow, macdSignal)
stochK = ta.stoch(close, high, low, 14)
stochD = ta.sma(stochK, 3)
ema20 = ta.ema(close, 20)
ema50 = ta.ema(close, 50)
ema200 = ta.ema(close, 200)
bbBasis = ta.sma(close, 20)
bbUpper = bbBasis + 2 * ta.stdev(close, 20)
bbLower = bbBasis - 2 * ta.stdev(close, 20)
// Detect potential "Fake Double Reserve" patterns
longCondition = ta.crossover(rsi, 30) and ta.crossover(macdLine, signalLine) and ta.crossover(stochK, stochD) and close > ema50
shortCondition = ta.crossunder(rsi, 70) and ta.crossunder(macdLine, signalLine) and ta.crossunder(stochK, stochD) and close < ema50
// Plot signals
if (longCondition)
label.new(bar_index, high, "Buy", style=label.style_label_up, color=color.green, textcolor=color.white)
if (shortCondition)
label.new(bar_index, low, "Sell", style=label.style_label_down, color=color.red, textcolor=color.white)
// Plot buy and sell signals as shapes
plotshape(longCondition, style=shape.labelup, location=location.belowbar, color=color.green, size=size.small, title="Buy Signal")
plotshape(shortCondition, style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small, title="Sell Signal")
// Plot indicators
plot(ema20, color=color.green, linewidth=1, title="EMA 20")
plot(ema50, color=color.blue, linewidth=1, title="EMA 50")
plot(ema200, color=color.orange, linewidth=1, title="EMA 200")
hline(70, "Overbought (RSI)", color=color.red, linestyle=hline.style_dotted)
hline(30, "Oversold (RSI)", color=color.green, linestyle=hline.style_dotted)
plot(bbUpper, color=color.purple, title="Bollinger Band Upper")
plot(bbLower, color=color.purple, title="Bollinger Band Lower")
plot(bbBasis, color=color.gray, title="Bollinger Band Basis")
Indicatori e strategie
Advanced Pivot Point Dashboard📊 Advanced Pivot Point Dashboard 📊
This indicator is designed to help you analyze key price levels using Pivot Points, Support, and Resistance levels. It combines visual lines on the chart with a detailed table for a comprehensive trading experience. Here's what it offers:
🎯 Key Features:
📈 Pivot Point Calculation:
Automatically calculates the Pivot Point (P) and Support/Resistance Levels (S1, S2, S3, R1, R2, R3) based on the previous day's high, low, and close prices.
📊 Table with Key Levels:
Displays all levels in a clean and organized table.
Shows the distance (%) of the current price from each level.
Includes a trend indicator (Bullish 🟢, Bearish 🔴, or Neutral ⚪) based on the price relative to the pivot point.
📏 Visual Lines on the Chart:
Draws horizontal lines for all key levels (Pivot Point, Supports, and Resistances).
Lines are automatically updated daily.
⚠️ Visual Alerts:
If the price is near a key level (within the specified alert distance), a warning icon (⚠️) appears in the table.
🔖 Optional Labels:
You can enable labels on the chart to easily identify each level (P, R1, R2, R3, S1, S2, S3).
🛠️ How to Use:
Add the Indicator:
Copy and paste the code into the Pine Script editor in TradingView.
Add the indicator to your chart.
Customize Inputs:
Show Labels: Toggle labels on the chart.
Alert Distance (%): Set the percentage distance for visual alerts.
Analyze Key Levels:
Use the lines on the chart to identify potential support and resistance zones.
Refer to the table for detailed information about each level, including distance and trend direction.
Set Alerts:
Use the warning icons (⚠️) in the table to identify when the price is approaching a key level.
📋 Table Columns:
Level: The name of the level (e.g., Pivot Point, R1, S2).
Price: The price value of the level.
Distance (%): How far the current price is from the level (in percentage).
Trend: Bullish 🟢, Bearish 🔴, or Neutral ⚪.
Alert: A warning icon (⚠️) if the price is near the level.
🚀 Why Use This Indicator?:
Comprehensive Analysis: Combines visual and tabular data for a complete view of key levels.
Customizable: Adjust the alert distance and toggle labels as needed.
Easy to Use: Perfect for both beginners and experienced traders.
📝 Example:
If the price is near R1, you'll see a warning icon (⚠️) in the table and a horizontal line on the chart.
The table will show the distance (%) from R1 and whether the trend is Bullish 🟢 or Bearish 🔴.
📌 Pro Tip:
Combine this indicator with other tools like moving averages or volume analysis for even better trading decisions!
Let me know if you have any questions or need further assistance! Happy trading! 🚀📈😊
Market Regime DetectorMarket Regime Detector
The Market Regime Detector is a tool designed to help traders identify and adapt to the prevailing market environment by analyzing price action in relation to key macro timeframe levels. This indicator categorizes the market into distinct regimes—Bullish, Bearish, or Reverting—providing actionable insights to set trading expectations, manage volatility, and align strategies with broader market conditions.
What is a Market Regime?
A market regime refers to the overarching state or condition of the market at a given time. Understanding the market regime is critical for traders as it determines the most effective trading approach. The three main regimes are:
Bullish Regime:
Characterized by upward momentum where prices are consistently trending higher.
Trading strategies often focus on buying opportunities and trend-following setups.
Bearish Regime:
Defined by downward price pressure and declining trends.
Traders typically look for selling opportunities or adopt risk-off strategies.
Reverting Regime:
Represents a consolidation phase where prices move within a defined range.
Ideal for mean-reversion strategies or range-bound trading setups.
Key Features of the Market Regime Detector:
Dynamic Market Regime Detection:
Identifies the market regime based on macro timeframe high and low levels (e.g., weekly or monthly).
Provides clear and actionable insights for each regime to align trading strategies.
Visual Context for Price Levels:
Plots the macro high and low levels on the chart, allowing traders to visualize critical support and resistance zones.
Enhances understanding of volatility and trend boundaries.
Regime Transition Alerts:
Sends alerts only when the market transitions into a new regime, ensuring traders are notified of meaningful changes without redundant signals.
Alert messages include clear regime descriptions, such as "Market entered a Bullish Regime: Price is above the macro high."
Customizable Visualization:
Background colors dynamically adjust to the current regime:
Blue for Reverting.
Aqua for Bullish.
Fuchsia for Bearish.
Option to toggle high/low line plotting and background highlights for a tailored experience.
Volatility and Expectation Management:
Offers insights into market volatility by showing when price action approaches, exceeds, or reverts within macro timeframe levels.
Helps traders set realistic expectations and adjust their strategies accordingly.
Use Cases:
Trend Traders: Identify bullish or bearish regimes to capture sustained price movements.
Range Traders: Leverage reverting regimes to trade between defined support and resistance zones.
Risk Managers: Use macro high and low levels as dynamic stop-loss or take-profit zones to optimize trade management.
The Market Regime Detector equips traders with a deeper understanding of the market environment, making it an essential tool for informed decision-making and strategic planning. Whether you're trading trends, ranges, or managing risk, this indicator provides the clarity and insights needed to navigate any market condition.
Support and Resistance (1 Hour)//@version=5
indicator("Support and Resistance (1 Hour)", overlay=true)
// Define the period for support and resistance (in this case, 50 bars)
length = input.int(50, title="Lookback Period", minval=1)
// Calculate the highest high and lowest low over the lookback period
highestHigh = ta.highest(high, length)
lowestLow = ta.lowest(low, length)
// Plot the support and resistance lines on the chart
plot(highestHigh, title="Resistance", color=color.red, linewidth=2)
plot(lowestLow, title="Support", color=color.green, linewidth=2)
// Add background shading to highlight areas near support and resistance
bgcolor(close >= highestHigh ? color.new(color.red, 90) : na)
bgcolor(close <= lowestLow ? color.new(color.green, 90) : na)
// Display the values of the support and resistance levels
plotchar(highestHigh, title="Resistance Value", location=location.top, color=color.red, offset=-1)
plotchar(lowestLow, title="Support Value", location=location.bottom, color=color.green, offset=-1)
Dynamic Volatility Differential Model (DVDM)The Dynamic Volatility Differential Model (DVDM) is a quantitative trading strategy designed to exploit the spread between implied volatility (IV) and historical (realized) volatility (HV). This strategy identifies trading opportunities by dynamically adjusting thresholds based on the standard deviation of the volatility spread. The DVDM is versatile and applicable across various markets, including equity indices, commodities, and derivatives such as the FDAX (DAX Futures).
Key Components of the DVDM:
1. Implied Volatility (IV):
The IV is derived from options markets and reflects the market’s expectation of future price volatility. For instance, the strategy uses volatility indices such as the VIX (S&P 500), VXN (Nasdaq 100), or RVX (Russell 2000), depending on the target market. These indices serve as proxies for market sentiment and risk perception (Whaley, 2000).
2. Historical Volatility (HV):
The HV is computed from the log returns of the underlying asset’s price. It represents the actual volatility observed in the market over a defined lookback period, adjusted to annualized levels using a multiplier of \sqrt{252} for daily data (Hull, 2012).
3. Volatility Spread:
The difference between IV and HV forms the volatility spread, which is a measure of divergence between market expectations and actual market behavior.
4. Dynamic Thresholds:
Unlike static thresholds, the DVDM employs dynamic thresholds derived from the standard deviation of the volatility spread. The thresholds are scaled by a user-defined multiplier, ensuring adaptability to market conditions and volatility regimes (Christoffersen & Jacobs, 2004).
Trading Logic:
1. Long Entry:
A long position is initiated when the volatility spread exceeds the upper dynamic threshold, signaling that implied volatility is significantly higher than realized volatility. This condition suggests potential mean reversion, as markets may correct inflated risk premiums.
2. Short Entry:
A short position is initiated when the volatility spread falls below the lower dynamic threshold, indicating that implied volatility is significantly undervalued relative to realized volatility. This signals the possibility of increased market uncertainty.
3. Exit Conditions:
Positions are closed when the volatility spread crosses the zero line, signifying a normalization of the divergence.
Advantages of the DVDM:
1. Adaptability:
Dynamic thresholds allow the strategy to adjust to changing market conditions, making it suitable for both low-volatility and high-volatility environments.
2. Quantitative Precision:
The use of standard deviation-based thresholds enhances statistical reliability and reduces subjectivity in decision-making.
3. Market Versatility:
The strategy’s reliance on volatility metrics makes it universally applicable across asset classes and markets, ensuring robust performance.
Scientific Relevance:
The strategy builds on empirical research into the predictive power of implied volatility over realized volatility (Poon & Granger, 2003). By leveraging the divergence between these measures, the DVDM aligns with findings that IV often overestimates future volatility, creating opportunities for mean-reversion trades. Furthermore, the inclusion of dynamic thresholds aligns with risk management best practices by adapting to volatility clustering, a well-documented phenomenon in financial markets (Engle, 1982).
References:
1. Christoffersen, P., & Jacobs, K. (2004). The importance of the volatility risk premium for volatility forecasting. Journal of Financial and Quantitative Analysis, 39(2), 375-397.
2. Engle, R. F. (1982). Autoregressive conditional heteroskedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.
3. Hull, J. C. (2012). Options, Futures, and Other Derivatives. Pearson Education.
4. Poon, S. H., & Granger, C. W. J. (2003). Forecasting volatility in financial markets: A review. Journal of Economic Literature, 41(2), 478-539.
5. Whaley, R. E. (2000). The investor fear gauge. Journal of Portfolio Management, 26(3), 12-17.
This strategy leverages quantitative techniques and statistical rigor to provide a systematic approach to volatility trading, making it a valuable tool for professional traders and quantitative analysts.
Breakout StrategyThe strategy aims to capture upward price movements (breakouts) by observing when the price exceeds a predefined range, known as the Donchian Channel, while also ensuring trading volume supports the move.
When Does It Open a Long Trade?
The strategy opens a long trade (buy position) when both of these conditions are met:
1. Price Breaks Above the Upper Band
- The current closing price is higher than the Upper Band of the Donchian Channel.
- This indicates a potential breakout, signaling upward momentum.
2. High Volume Confirmation
- The current trading volume is greater than 1.9 times the average volume over the Donchian Channel's length.
- This ensures the breakout is backed by significant market activity, reducing the chance of false signals.
Only when both conditions are true, the strategy will execute a long entry.
When Does It Close the Trade?
The strategy closes the long trade (exits the position) when:
1. Price Falls Below the Middle Band
- The closing price drops below the Middle Band of the Donchian Channel.
- This acts as a reversal signal, suggesting the upward momentum has weakened, and it’s time to exit the trade.
흑트2 시그널Signal Description
This strategy utilizes double golden crosses and dead crosses of the MACD (Moving Average Convergence Divergence). When a second golden cross or dead cross meeting the specified conditions occurs, a signal is generated.
Long Position
1. The MACD must form two golden crosses below the zero line.
2. The first golden cross must be lower than the second golden cross.
Short Position
1. The MACD must form two dead crosses above the zero line.
2. The first dead cross must be higher than the second dead cross.
Position Entry
* after confirming a signal, wait for confirmation, such as breaking a resistance level in the desired direction on the observed timeframe.
* Enter the position at the breakout point when such confirmation occurs.
Filtering Options
To reduce noise, several filtering functions have been added. Further research may be needed.
1. Minimum Bar Count Between Golden/Dead Crosses (default = 5):
* Sets the minimum number of bars between crosses to ignore signals in sideways markets with frequent crosses due to small fluctuations.
2. Maximum Bar Count Between Golden/Dead Crosses (default = 30):
* Considers crosses too far apart as noise and ignores them.
3. Percentage Change Between Golden/Dead Crosses (default = 1%):
* Filters out signals where the percentage difference between the first and second cross is too small, considering them as noise.
4. Candle Close Comparison:
* When a golden cross occurs, the price should be declining.
* When a dead cross occurs, the price should be rising.
* In other words, filters signals to only consider MACD divergence.
5. RSI Filter:
* Displays long/short signals only when the RSI is above (or below) a specified level.
시그널 설명
맥디(macd)의 더블 골든크로스와 데드크로스를 활용한 기법. 조건에 맞는 두번재 데드크로스나 골든 크로스가 발생하였을때 두번째 골크나 데크에서 시그널 발생.
롱
macd가 제로라인 아래에서 골크를 두번생성.
첫번째 골크가 두번째 골크보다 아래에 있어야 함.
숏
macd가 제로라인 위에서 데드를 두번생성.
첫번째 데크가 두번째 데크보다 위에 있어야 함.
포지션 진입.
시그널이 발생하고 원하는 방향으로의 보는 시간프레임에서의 저항을 돌파하는 흐름이 나올때 돌파지점에서 포지션 진입.
필터링 : 노이즈 제거용으로 몇가지 필터링 기능을 추가함. 더 연구가 필요.
1. 골크/데크사이 최소바 개수(default=5) : 골크/데크간 최소 바의 개수로 횡보구간에서 작은 변동성으로 너무 잦은 골크/데크 발생하는 것을 무시하기 위한 옵션.
2. 골크/데크사이 최대바 개수(default=30): 골크/데크간 간격이 너무 넓은 것은 노이즈 간주하기 위한 옵션.
3. 골크/데크간 변화(%)(default=1) : 첫번째 골크(또는 데크)와 두번째 골크와의 변화율이 너무 적은 경우 노이즈로 간주 필터링 할수 있는 옵션.
4. 봉마감 비교: 골드가 발생하였을때 가격은 하락, 데크가 발생하였을때 가격은 상승. 즉 macd다이버전스 일때만 필터링
5. RSI filter : rsi 가 지정된 가격 이상(또는 이하)일때만 롱/숏 시그널 표시.
Non-Lagging Indicator: EMA + TSI BY UTTAM PARAMANIK//@version=5
indicator("Non-Lagging Indicator: EMA + TSI", overlay=true)
// Parameters for the EMA
fastLength = input.int(9, title="Fast EMA Period", minval=1)
slowLength = input.int(21, title="Slow EMA Period", minval=1)
// Parameters for the TSI
tsiFastLength = input.int(13, title="TSI Fast Length", minval=1)
tsiSlowLength = input.int(25, title="TSI Slow Length", minval=1)
tsiSignalLength = input.int(7, title="TSI Signal Length", minval=1)
// EMA Calculation
fastEMA = ta.ema(close, fastLength)
slowEMA = ta.ema(close, slowLength)
// TSI Calculation
delta = close - close
doubleSmoothDelta = ta.ema(ta.ema(delta, tsiFastLength), tsiSlowLength)
doubleSmoothAbsDelta = ta.ema(ta.ema(math.abs(delta), tsiFastLength), tsiSlowLength)
tsi = 100 * doubleSmoothDelta / doubleSmoothAbsDelta
tsiSignal = ta.ema(tsi, tsiSignalLength)
// Plot EMAs
plot(fastEMA, color=color.blue, title="Fast EMA")
plot(slowEMA, color=color.orange, title="Slow EMA")
// Plot TSI and Signal
plot(tsi, color=color.green, title="True Strength Indicator")
plot(tsiSignal, color=color.red, title="TSI Signal")
// Buy and Sell Conditions
buyCondition = ta.crossover(fastEMA, slowEMA) and ta.crossover(tsi, tsiSignal)
sellCondition = ta.crossunder(fastEMA, slowEMA) and ta.crossunder(tsi, tsiSignal)
// Plot Buy and Sell Signals
plotshape(buyCondition, color=color.green, style=shape.labelup, location=location.belowbar, text="BUY")
plotshape(sellCondition, color=color.red, style=shape.labeldown, location=location.abovebar, text="SELL")
4th Day Performance After 3 Down DaysThis Pine Script indicator analyzes market performance on the 4th day following 3 consecutive down days. It identifies when the close price is lower than the open for three consecutive days and calculates the price change from the 3rd day's close to the 4th day's close.
Key features include:
Entry and Exit Tracking: The script records the entry price (3rd day's close) and the exit price (4th day's close).
Performance Metrics: The script calculates and displays:
Total Profit/Loss (PnL) over all trades.
Total number of trades.
Count of positive and negative 4th-day outcomes.
Customizable Start Date: The user can set a start date to analyze historical data.
Interactive Table: A table on the chart displays all key metrics for easy reference.
Use Case:
This script is useful for traders and analysts who want to study historical patterns and determine if the 4th day's performance presents opportunities following three consecutive down days. It helps identify potential reversal or continuation patterns in market behavior.
Disclaimer:
This script is for educational and research purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always conduct thorough analysis and consult a professional before trading.
It's About Timing_MidiHappy Trading Brader.... Waklu!!
Dont overtrade, it will blow your account
Trade santai-santai
INGMorel 1.2.0El indicador INGMorel 1.2.0 ha sido desarrollado por INGMorel para traders que buscan una herramienta avanzada, precisa y eficiente para identificar oportunidades de trading durante la sesión de Nueva York. Este indicador combina análisis técnico en múltiples marcos de tiempo (HMA en H1 y M15) junto con el potente filtro del RSI, para ofrecer señales claras sobre la tendencia del mercado.
Características destacadas:
Tendencia HMA H1 y HMA M15: Evalúa la tendencia en dos marcos de tiempo, HMA de 1 hora (H1) y HMA de 15 minutos (M15), asegurando que el trader esté alineado con la tendencia general del mercado.
Filtro RSI: El uso del RSI permite detectar condiciones de sobrecompra o sobreventa, añadiendo una capa adicional de confiabilidad a las señales de compra o venta.
Zona de Killzone (Sesión de NY): Las señales solo se muestran dentro de la Killzone (9:30 AM - 4:00 PM, hora de Nueva York), enfocándose en la parte más activa del mercado para aprovechar los movimientos clave.
Colores de Velas y Fibonacci: Cambia el color de las velas cuando ocurre una ruptura del HMA y marca los niveles clave de Fibonacci (0%, 50%, 100%) para ofrecer referencias visuales en el análisis de precios.
Beneficios para traders: El INGMorel 1.2.0 es ideal para traders que operan dentro de la Killzone de la sesión de Nueva York. Este indicador proporciona señales claras y visualizaciones útiles, como el cambio de color de las velas y las etiquetas de Fibonacci, que facilitan la toma de decisiones rápidas y bien fundamentadas.
Con la firma de INGMorel, esta herramienta ha sido creada para optimizar el análisis técnico, mejorar las estrategias de trading y maximizar las oportunidades de éxito en el mercado.
Buy/Sell Signals with Support & Resistance (15m) - MSupport and Resistance Calculation:
Pivot Points: The script calculates support and resistance based on pivot points within a lookback window (pivotLookback).
Resistance: It takes the recent pivot high and adjusts it upward using a sensitivity factor to identify potential resistance.
Support: It takes the recent pivot low and adjusts it downward using the same sensitivity factor to identify potential support.
Buy and Sell Conditions:
MACD: Generates buy signals when the MACD line crosses above the signal line and sell signals when the MACD line crosses below the signal line.
RSI: Ensures buy signals occur when RSI is below the overbought level and sell signals occur when RSI is above the oversold level.
SuperTrend: Confirms the prevailing trend (uptrend for buy signals and downtrend for sell signals).
Plotting:
Support and Resistance Levels: These levels are plotted on the chart as horizontal lines, with resistance in red and support in green.
Buy and Sell Signals: Labels ("BUY" or "SELL") are plotted on the chart based on the conditions.
Bar Color: Bars are colored green for buy signals and red for sell signals.
RSI-Bollinger Band SynergyThis TradingView script, titled "RSI-Bollinger Band Synergy", is a technical analysis tool designed to combine the power of Bollinger Bands and the Relative Strength Index (RSI) to generate potential buy and sell signals.
Key Features:
Bollinger Bands Configuration:
Length: Customizable with a default value of 30 periods.
Multiplier: Adjustable with a default value of 2.33.
Calculates the Upper Band, Lower Band, and the Basis using a Simple Moving Average (SMA) and standard deviation.
RSI (Relative Strength Index):
Length: Adjustable, with a default value of 14 periods.
Used to confirm overbought and oversold conditions, enhancing the accuracy of signals.
Signal Conditions:
Buy Signal:
Triggered when the price crosses above the lower Bollinger Band.
RSI is below 40, indicating oversold conditions.
Sell Signal:
Triggered when the price crosses below the upper Bollinger Band.
RSI is above 60, indicating overbought conditions.
Visual Elements:
Bands: The upper and lower Bollinger Bands are displayed with distinct colors (red for the upper band, green for the lower band), while the Basis line is shown in blue.
Filled Bands: The area between the upper and lower bands is shaded in purple with transparency for better visualization.
Signals:
Buy signals are displayed with green labels ("Buy") below the bars.
Sell signals are shown with red labels ("Sell") above the bars.
Usage:
This script is suitable for traders who want to leverage both price volatility (via Bollinger Bands) and momentum (via RSI) to identify entry and exit points.
Notes:
The RSI thresholds (40 for buy and 60 for sell) can be fine-tuned based on individual preferences or market conditions.
The Bollinger Bands length and multiplier can also be adjusted to suit the desired time frame and volatility sensitivity.
Use this tool in conjunction with other technical indicators or strategies for better results.
Disclaimer:
This script is for educational purposes only and does not constitute financial advice. Always perform your own analysis before making trading decisions.
Ichimoku Entry & Exit Pointsاین اندیکاتور نقاط ورود خروج هم به صورت حد سود و هم به صورت حد ضرر را مشخص می کند
High Low Markers v1Retrieves the previous day’s high using request.security(...), so it works on any timeframe, even intraday.
Creates a single label (stored in a var variable) at that previous day high.
Places the text on the right of the anchor point by using label.style_label_right.
Updates the label’s position each bar (or only on a new day, if desired) so it always reflects the most recent previous day’s high.
Monthly Vertical Lines//@version=5
indicator("Monthly Vertical Lines", overlay=true)
month_change = (month != month ) // Detects a new month
if month_change
line.new(x1=bar_index, y1=na, x2=bar_index, y2=na, extend=extend.both, color=color.gray, style=line.style_dotted, width=1)
Fractal AlligatorBased on Williams Alligator and Fractals with the inclusion of EMA and SMA for trend detection
EMA/RMA clouds by AlpachinoRE-UPLOAD
The indicator is designed for faster trend determination and also provides hints about whether the trend is strong, weaker, or if a range is expected.
It consists of an exponential moving average (EMA) and a slower smoothed moving average (RMA). I chose these because EMA is the fastest and is respected by the market, while I discovered through practice that the market often respects RMA, and in some cases, even more than EMA. Their combination is necessary because I want to take advantage of the best qualities of both averages. Displaying averages based solely on the close values creates a simple line that the market might respect. However, this is often not the case. Market makers know that many traders still believe in the theory that closing above/below an EMA signals a valid new trend. They commonly apply this belief to EMA200. Traders think that if the market closes below EMA, it signals a downtrend. That’s not necessarily true. This misconception often traps inexperienced traders.
For this reason, my indicator does not include a separate line.
I use what are called envelopes. In other words, for both EMA and RMA, the calculation uses the high and low of the selected period, which can be chosen as an input in the indicator.
Why did I choose high and low?
To stabilize price fluctuations as much as possible, especially to allow enough space for the price to react to the moving average. This reaction occurs precisely between the high and low.
Modes:
EMA Cloud – This is the most common envelope in terms of averages. It shows the best reactions with a period of 50.
What should you observe: the alignment of the envelope or its slope.
Usage:
Breakouts through the entire envelope tend to be strong, which signals that the trend may change. However, what interests you most is that the first test of the envelope after a breakout is the most successful entry point for trades in the breakout direction.
In an uptrend, the first support will be the high of the envelope, and the second (let’s call it the "ultimate support") will be the low of the envelope.
If, during an uptrend, the market closes below the low, be cautious, as the trend may reverse.
If the envelope is broken, trade the retest of the envelope.
In general, if the price is above the envelope, focus on long trades; if it’s below the envelope, focus on short trades.
Double Cloud – Since we already know that highs and lows are more relevant for price respect, I utilized this in the double cloud. Here, I use calculations for EMA and RMA highs and EMA and RMA lows.
The core idea is that since the price often reacts more to RMA than EMA, I wanted to eliminate attempts by market makers to lure you into incorrect directions. By creating more space for the price to react to the highs or lows, I made the cloud fill the area between EMA and RMA highs. This serves as the last zone where the price can hold. If the price breaks above this high cloud during a return, this doesn’t happen randomly—you should pay attention, as it’s likely signaling a range or a trend change.
The same applies to the low cloud for EMA and RMA.
The advantage of the double cloud is that you can see two clouds that may move sideways. This can resemble two walls—and they really act as such.
Usage:
Let’s say we have a downtrend. The market seems to be experiencing a downtrend exhaustion. Here's the behavior you might observe:
The price returns to the EMA/RMA low; the first reaction may still have some strength, but each subsequent return will move higher and higher into the cloud with increasingly smaller rejections downward. This indicates the absorption of selling pressure by bullish pressure. Eventually, the price may close above the cloud, significantly disrupting the downtrend and potentially signaling a reversal.
A confirmation of the reversal is usually seen with a retest of the cloud and a bounce upward into an uptrend.
The second scenario, which you’ll often see, involves sharp and significant moves through both envelopes. This kind of move is the strongest signal of a trend change. However, do not jump into trades immediately—wait for the first retest, which is usually successful. Additional tests may not work, as the breakout might not signify a trend change but rather a range.
When the clouds are far apart, it signals a weak trend or that the market is in a range. You will see that this is generally true. When the clouds cross or overlap, their initial point of contact signals the start of a stronger trend. The steeper the slope, the stronger the trend.
Simple Average Price & Target ProfitThis script is designed to help users calculate and visualize the weighted average price of an asset based on multiple entry points, along with the target price and the potential profit. The user can input specific prices for three different entries, along with the percentage of total investment allocated to each price point. The script then calculates the weighted average price based on these entries and displays it on the chart. Additionally, it calculates the potential profit at a given target price, which is plotted on the chart.
Mahen Support and ResistanceSupport and Resistance to my learning purpose. It may not work for others. Feel free to tweak it according to your needs. This also modified from good soul
GOLDEN Trading System by @thejamiulGolden Pivot by thejamiul is the ultimate trading companion, meticulously designed to provide traders with precise and actionable market levels for maximizing trading success. With its innovative blend of pivot systems, high/low markers, and customizable features, this indicator empowers you to execute trades with accuracy and confidence.
Source of this indicator : This indicator is based on @TradingView original pivot point ( pivot point standard ) indicator with lot of custom and added features to identify breakouts. Bellow detail list of features with explanations.
What Makes Golden Pivot Unique?
This indicator integrates multiple pivot methodologies and key levels into one powerful tool, making it suitable for a wide variety of trading strategies. Whether you're into breakout trading, virgin trades, or analyzing market trends, Golden Pivot Pro v5 has got you covered.
Key Features:
Camarilla Pivots:
Calculates H3, H4, H5, L3, L4, and L5 levels dynamically.
Helps identify strong support and resistance zones for reversal or breakout opportunities.
Floor Pivots:
Classic pivot point along with BC (Bottom Center) and TC (Top Center) levels for intraday and swing trading setups.
Multi-Timeframe High/Low Levels:
Plots static high/low markers for yearly, monthly, weekly, and daily timeframes.
Provides clarity on major market turning points and breakout zones.
Close Price Levels:
Highlights yearly, monthly, weekly, and daily close prices to aid in understanding market bias.
Custom Timeframe Selection:
Flexibly choose daily, weekly, monthly, or yearly pivot resolutions to suit your trading style and objectives.
Comprehensive Visualization:
Color-coded levels for quick recognition of significant zones.
Dynamic updates to adapt to changing market conditions seamlessly.
EXPONOVA:
In input tab you will get EXPONOVA, it is build with two ema and gradient colours. It is very important for trend identification because if we only use pivot, we can not tell the market direction easily. So if you use the EXPONOVA we can easily tell the market trend because when the market is in up trend the EXPONOVA will be green and when the market is in downtrend the EXPONOVA will be red. So if we use pivot and EXPONOVA together we can build a rubout strategy.
This indicator enables you to implement strategies like:
Breakout Trading: Identify critical levels where price might break out for momentum trades.
Virgin Trades: Use untouched levels for precision entries with minimal risk.
Trend Reversals: Spot overbought or oversold zones using Camarilla and Floor Pivots.
Range-Bound Markets: Utilize high/low levels to define boundaries and trade within the range.
How to Use Golden Pivot by thejamiul for High-Accuracy Trading?
1. Breakout Trading If you like breakout trading then this indicator can help you a lot, here we will only take those trade which are broke green zone or red zone. Here green zone mean H3, to H4, and red zone mean L3, L4 . If price closes above green zone then we will plan to go Long and if price closes bellow red zone then we will plan to go Short.
As you can see on the chart when price break the green zone, the market shoot up!
2. Range-Bound Trading: When market are in range bound mode, usually we fear to take trade because we don't have clear idea about major support or resistance and how to take trade in such market. But if you use this indicator it will show you the major support and resistance zone which are red and green colours in this indicator. In range bound market, market usually trade between red zone and green zone so we can trade accordingly.
