VolatilityFlex Dynamic [CodeNeural]Volatility levels for tracking weekend price potential.
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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.
GOLDEN RSI by @thejamiulGOLDEN RSI thejamiul is a versatile Relative Strength Index (RSI)-based tool designed to provide enhanced visualization and additional insights into market trends and potential reversal points. This indicator improves upon the traditional RSI by integrating gradient fills for overbought/oversold zones and divergence detection features, making it an excellent choice for traders who seek precise and actionable signals.
Source of this indicator : This indicator is based on @TradingView original RSI indicator with a little bit of customisation to enhance overbought and oversold identification.
Key Features
1. Customizable RSI Settings:
RSI Length: Adjust the RSI calculation period to suit your trading style (default: 14).
Source Selection: Choose the price source (e.g., close, open, high, low) for RSI calculation.
2. Gradient-Filled RSI Zones:
Overbought Zone (80-100): Gradient fill with shades of green to indicate strong bullish conditions.
Oversold Zone (0-20): Gradient fill with shades of red to highlight strong bearish conditions.
3. Support and Resistance Levels:
Upper Band: 80
Middle Bands: 60 (bullish) and 40 (bearish)
Lower Band: 20
These levels help identify overbought, oversold, and neutral zones.
4. Divergence Detection:
Bullish Divergence: Detects lower lows in price with corresponding higher lows in RSI, signaling potential upward reversals.
Bearish Divergence: Detects higher highs in price with corresponding lower highs in RSI, indicating potential downward reversals.
Visual Indicators:
Bullish divergence is marked with green labels and line plots.
Bearish divergence is marked with red labels and line plots.
5. Alert Functionality:
Custom Alerts: Set up alerts for bullish or bearish divergences to stay notified of potential trading opportunities without constant chart monitoring.
6. Enhanced Chart Visualization:
RSI Plot: A smooth and visually appealing RSI curve.
Color Coding: Gradient and fills for better distinction of trading zones.
Pivot Labels: Clear identification of divergence points on the RSI plot.
profit factor 1.5 great tradesgreat strategy to get a good profit factor as it involves less indicators and is a proven strategy
Quantum MACD-RSI Strategy V1 by wonder1231A comprehensive trading strategy that combines MACD, RSI, and volume analysis with automated stop-loss and take-profit management.
Box Statistics - Session Strategy (24H)A simple strategy that finds optimal trade windows on the NAS100 and takes longs.
Gann Secert Radio AM Receiverenjoy this masterpiece from W D Gann, It indicates clear buy and sell entries by looking at the background. Every time background changes it's a buy or sell entry
HarshalWarkeHarshalWarke
Open-source script
In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in publication is governed by House rules. You can favorite it to use it on a chart.
Renko Chart EmulationRenko charts are a popular tool in technical analysis, known for their ability to filter out market noise and focus purely on price movements. Unlike traditional candlestick or bar charts, Renko charts are not time-based but are constructed using bricks that represent a fixed price movement. This makes them particularly useful for identifying trends and key levels of support and resistance. While Renko charts are commonly found on platforms with specialized charting capabilities, they can also be emulated in Pine Script as a line indicator.
The Renko emulation indicator in Pine Script calculates the movement of price based on a user-defined brick size. Whenever the price moves up or down by an amount equal to or greater than the brick size, a new level is plotted, indicating a shift in price direction. This approach helps traders visualize significant price moves without the distractions of smaller fluctuations. By plotting the Renko levels as a continuous line and coloring it based on direction, this indicator provides a clean and straightforward representation of market trends.
Traders can use this Renko emulation line to identify potential entry and exit points, as well as to confirm ongoing trends. The simplicity of Renko charts makes them a favorite among those who prefer a minimalist approach to technical analysis. However, it is essential to choose an appropriate brick size that aligns with the volatility of the trading instrument. A smaller brick size may result in frequent signals, while a larger one can smooth out the chart, focusing only on the most substantial price movements. This script offers a flexible solution for incorporating Renko-style analysis into any trading strategy.
The Oracle [DSAB]This indicator helps you with mapping earlier patterns and predicting future pivots. It uses various similarity measures to compare historical price sequences to the current price sequence
Features
Find the most similar price sequence up to 100 bars from the current bar
Forecast price path up to 250 bars
Forecast ZigZag up to 250 bars
Forecasted linear regression channel
Adaptive Sentiment-Volume MomentumThis is a simple breakout approach using ATR bands and an EMA filter. Test this strategy and let me know how it performs!
FVG Tap with EMA Confirmation and Dynamic Stop Loss & Targettesting fvg and ema cross watch macd and rsi before entering
Cấy Nền TradingChỉ báo này tự động phát hiện các điểm vào lệnh tiềm năng dựa trên sự khác biệt giữa giá và xu hướng, đồng thời mô phỏng chính xác chi phí giao dịch thực tế bằng cách tính toán spread. Khi có tín hiệu phù hợp, chỉ báo thực hiện lệnh mua hoặc bán và đặt các mức chốt lời, cắt lỗ đã được điều chỉnh để phản ánh spread. Điều này giúp người dùng mô phỏng các điều kiện thị trường thực tế khi giao dịch với spread cố định, mang lại kết quả backtest sát thực tế hơn. Nó hỗ trợ cả trailing stop, giúp bảo vệ lợi nhuận khi giá di chuyển thuận lợi.
SR VP 9Indicators include RSI, STC, QQE, Heikin ASHI, volume distribution chart, pressure support based on volume, 90-channel line, UT trading tips, intraday pivot point, EMA moving average。
It is suitable for the indicator system involved in the 3-minute cycle. I don't know whether other cycles are suitable yet. If you like, change the parameters and debug it yourself.
---------------Produced by Dabin
RY-Parabolic Stop and ReverseParabolic Stop and Reverse with Support Resistance (PSAR-SR)
Identify dynamic support and resistance levels based on price movements.
Reduce false signals often generated by the regular PSAR.
Provide more accurate trading decisions by considering previous reversal points as support and resistance.
How Does PSAR-SR Work?
PSAR Reversal Points:
When the regular PSAR generates a reversal signal, the price at that reversal point is used as support (in an uptrend) or resistance (in a downtrend).
Support and Resistance Lines:
Support: A line drawn from the previous PSAR reversal point in an uptrend.
Resistance: A line drawn from the previous PSAR reversal point in a downtrend.
Price often moves sideways between these support and resistance levels before a breakout occurs.
Breakout Above/Below Support and Resistance:
A Buy signal is generated when the price breaks above resistance with a new candle closing above it.
A Sell signal is generated when the price breaks below support with a new candle closing below it.
Strategy Using PSAR-SR
Wait for the Breakout:
Avoid buying or selling immediately when the PSAR gives a signal.
Confirm that the price breaks past the support or resistance levels and forms a new candle outside those lines.
Use Alongside Other Indicators:
PSAR-SR is not recommended as a standalone tool. Use additional confirmation indicators such as:
Moving Average: To identify long-term trends.
RSI or MACD: To confirm momentum or overbought/oversold conditions.
Advantages of PSAR-SR
Reduces False Signals:
By focusing on previous support and resistance levels, PSAR-SR avoids invalid signals.
Helps Identify Breakouts:
It provides better insight for traders to enter the market during valid breakouts.
Limitations of PSAR-SR
Not Suitable for Sideways Markets:
If the price moves sideways for an extended period, the signals may become less effective.
Requires Additional Confirmation:
Should be used in combination with other indicators to improve accuracy.
Conclusion
PSAR-SR is a helpful tool for identifying dynamic support and resistance levels and generating buy/sell signals based on price breakouts. However, it should always be used with additional indicators for confirmation to avoid false trades.
Disclaimer:
Use this indicator at your own risk, and always perform additional analysis before making any trading decisions.
If you'd like further clarification or examples of how to apply this to a chart, feel free to ask! 😊
80% win rate_ONE postion_DEMO//@version=5
indicator('AAtrading', shorttitle='AAtrading', overlay=true)
// الإعدادات الثابتة (ATR Period = 10, Multiplier = 3)
length = 10 // فترة ATR ثابتة
mult = 3.0 // معامل ATR ثابت
useClose = input.bool(title='Use Close Price for Extremums', defval=true)
showLabels = input.bool(title='Show Buy/Sell Labels', defval=true)
highlightState = input.bool(title='Highlight State', defval=true)
// إعدادات السيولة
outlierThreshold = input.int(title='Outlier Threshold Length', defval=10)
fastMovingAverageLength = 100 // فترة MA السريع ثابتة
slowMovingAverageLength = 200 // فترة MA البطيء ثابتة
// خيارات الألوان
buyColor = input.color(title='Buy Signal Color', defval=color.green)
sellColor = input.color(title='Sell Signal Color', defval=color.red)
// حساب الـ ATR
atr = mult * ta.atr(length)
// حساب نقاط التوقف للمراكز الطويلة والقصيرة
longStop = (useClose ? ta.highest(close, length) : ta.highest(length)) - atr
longStopPrev = nz(longStop , longStop)
longStop := close > longStopPrev ? math.max(longStop, longStopPrev) : longStop
shortStop = (useClose ? ta.lowest(close, length) : ta.lowest(length)) + atr
shortStopPrev = nz(shortStop , shortStop)
shortStop := close < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop
// تحديد الاتجاه (1=شراء, -1=بيع)
var int dir = 1
dir := close > shortStopPrev ? 1 : close < longStopPrev ? -1 : dir
// حساب السيولة (Liquidity) بناءً على الحركة السعرية
priceMovementLiquidity = volume / math.abs(close - open)
// حساب الحدود لتحديد السيولة المتطرفة
liquidityBoundary = ta.ema(priceMovementLiquidity, outlierThreshold) + ta.stdev(priceMovementLiquidity, outlierThreshold)
// إنشاء مصفوفة لتخزين قيم السيولة
var liquidityValues = array.new_float(5)
// التحقق إذا كانت السيولة تتجاوز الحدود
if ta.crossover(priceMovementLiquidity, liquidityBoundary)
array.insert(liquidityValues, 0, close)
// حساب المتوسطات المتحركة (EMAs) على آخر قيمة سيولة
fastEMA = ta.ema(array.get(liquidityValues, 0), fastMovingAverageLength)
slowEMA = ta.ema(array.get(liquidityValues, 0), slowMovingAverageLength)
// رسم المتوسطات المتحركة (EMAs) بناءً على السيولة
fastPlot = plot(fastEMA, color = fastEMA > slowEMA ? color.new(buyColor, 50) : color.new(sellColor, 50))
slowPlot = plot(slowEMA, color = fastEMA > slowEMA ? color.new(buyColor, 50) : color.new(sellColor, 50))
// إنشاء تظليل بين EMAs
fill(fastPlot, slowPlot, fastEMA, slowEMA, fastEMA > slowEMA ? color.new(buyColor, 50) : color.new(sellColor, 50), color.new(chart.bg_color, 80))
// إشارات الشراء والبيع بناءً على المتوسطات والسيولة
buySignal = dir == 1 and dir == -1 and fastEMA > slowEMA
sellSignal = dir == -1 and dir == 1 and fastEMA < slowEMA
// رسم إشارات الشراء والبيع
plotshape(buySignal and showLabels ? longStop : na, title='Buy Label', text='Buy', location=location.absolute, style=shape.labelup, size=size.tiny, color=color.new(buyColor, 0), textcolor=color.white)
plotshape(sellSignal and showLabels ? shortStop : na, title='Sell Label', text='Sell', location=location.absolute, style=shape.labeldown, size=size.tiny, color=color.new(sellColor, 0), textcolor=color.white)
// إشعارات التنبيه (Alerts)
alertcondition(buySignal, title='Buy Alert', message='🚨 Buy Signal from Chandelier Exit + LWMAs!')
alertcondition(sellSignal, title='Sell Alert', message='🚨 Sell Signal from Chandelier Exit + LWMAs!')
Custom EMA/ATR/Keltner/Bollinger with Squeeze Setup 21-EMA and ATR-Based Analysis
21-EMA (Exponential Moving Average):
Acts as a dynamic support/resistance level.
The price's relationship with the 21-EMA is used to detect trends and potential reversals.
ATR (Average True Range):
Measures volatility.
Used to define price thresholds for buy/sell conditions (e.g., price not more than 1 ATR above 21-EMA for a buy signal).
2. Bollinger Bands and Keltner Channels for Squeeze Setup
Bollinger Bands (BB):
Calculated using a 20-period simple moving average and standard deviations.
Represents high and low volatility zones.
Keltner Channels (KC):
Based on a 20-period EMA and ATR.
Provides narrower channels for price action compared to Bollinger Bands.
Squeeze Condition:
Occurs when Bollinger Bands fall inside Keltner Channels, signaling low volatility.
These periods often precede significant price movements (breakouts).
3. Momentum Indicator (MACD Histogram)
MACD Histogram:
Measures momentum during a squeeze.
Positive histogram values suggest bullish momentum, while negative values suggest bearish momentum.
Used to predict breakout direction from a squeeze.
4. RSI (Relative Strength Index) for Overbought/Oversold Conditions
Buy Signal:
RSI below 50 indicates a potential oversold condition, supporting a buy signal.
Sell Signal:
RSI above 80 indicates overbought conditions, supporting a sell signal.
5. Buy/Sell Signal Conditions
Buy Signal:
Price is not more than 1 ATR above the 21-EMA.
RSI is below 50 (oversold).
Price touches the 21-EMA within a small tolerance.
Squeeze condition is active.
Sell Signal:
Price is 3 ATR above the 21-EMA.
RSI is above 80 (overbought).
Additional Signals:
Buy: Price is 2 standard deviations below the 21-EMA.
Sell: Price is 2 standard deviations above the 21-EMA.
6. Visual Enhancements
Candle Range (High-Low)the Candle Range refers to the difference between the high price (High) and the low price (Low) of a specific candle or bar.
Example:
For a given candle on the chart:
The high price is 120.
The low price is 100.
The candle range is 20 (120 - 100).
Uses:
Volatility Measurement: The candle range is often used to assess an asset's volatility over time. For example, averaging candle ranges can indicate the average volatility.
Indicator Development: Many indicators, such as Average True Range (ATR), rely on candle ranges to provide insights about market conditions.
Trade Filters: Candle ranges can act as filters in strategies to avoid trading during periods of low volatility.
Forex Hammer and Hanging Man StrategyThe strategy is based on two key candlestick chart patterns: Hammer and Hanging Man. These chart patterns are widely used in technical analysis to identify potential reversal points in the market. Their relevance in the Forex market, known for its high liquidity and volatile price movements, is particularly pronounced. Both patterns provide insights into market sentiment and trader psychology, which are critical in currency trading, where short-term volatility plays a significant role.
1. Hammer:
• Typically occurs after a downtrend.
• Signals a potential trend reversal to the upside.
• A Hammer has:
• A small body (close and open are close to each other).
• A long lower shadow, at least twice as long as the body.
• No or a very short upper shadow.
2. Hanging Man:
• Typically occurs after an uptrend.
• Signals a potential reversal to the downside.
• A Hanging Man has:
• A small body, similar to the Hammer.
• A long lower shadow, at least twice as long as the body.
• A small or no upper shadow.
These patterns are a manifestation of market psychology, specifically the tug-of-war between buyers and sellers. The Hammer reflects a situation where sellers tried to push the price down but were overpowered by buyers, while the Hanging Man shows that buyers failed to maintain the upward movement, and sellers could take control.
Relevance of Chart Patterns in Forex
In the Forex market, chart patterns are vital tools because they offer insights into price action and market sentiment. Since Forex trading often involves large volumes of trades, chart patterns like the Hammer and Hanging Man are important for recognizing potential shifts in market momentum. These patterns are a part of technical analysis, which aims to forecast future price movements based on historical data, relying on the psychology of market participants.
Scientific Literature on the Relevance of Candlestick Patterns
1. Behavioral Finance and Candlestick Patterns:
Research on behavioral finance supports the idea that candlestick patterns, such as the Hammer and Hanging Man, are relevant because they reflect shifts in trader psychology and sentiment. According to Lo, Mamaysky, and Wang (2000), patterns like these could be seen as representations of collective investor behavior, influenced by overreaction, optimism, or pessimism, and can often signal reversals in market trends.
2. Statistical Validation of Chart Patterns:
Studies by Brock, Lakonishok, and LeBaron (1992) explored the profitability of technical analysis strategies, including candlestick patterns, and found evidence that certain patterns, such as the Hammer, can have predictive value in financial markets. While their study primarily focused on stock markets, their findings are generally applicable to the Forex market as well.
3. Market Efficiency and Candlestick Patterns:
The efficient market hypothesis (EMH) posits that all available information is reflected in asset prices, but some studies suggest that markets may not always be perfectly efficient, allowing for profitable exploitation of certain chart patterns. For instance, Jegadeesh and Titman (1993) found that momentum strategies, which often rely on price patterns and trends, could generate significant returns, suggesting that patterns like the Hammer or Hanging Man may provide a slight edge, particularly in short-term Forex trading.
Testing the Strategy in Forex Using the Provided Script
The provided script allows traders to test and evaluate the Hammer and Hanging Man patterns in Forex trading by entering positions when these patterns appear and holding the position for a specified number of periods. This strategy can be tested to assess its performance across different currency pairs and timeframes.
1. Testing on Different Timeframes:
• The effectiveness of candlestick patterns can vary across different timeframes, as market dynamics change with the level of detail in each timeframe. Shorter timeframes may provide more frequent signals, but with higher noise, while longer timeframes may produce more reliable signals, but with fewer opportunities. This multi-timeframe analysis could be an area to explore to enhance the strategy’s robustness.
2. Exit Strategies:
• The script incorporates an exit strategy where positions are closed after holding them for a specified number of periods. This is useful for testing how long the reversal patterns typically take to play out and when the optimal exit occurs for maximum profitability. It can also help to adjust the exit logic based on real-time market behavior.
Conclusion
The Hammer and Hanging Man patterns are widely recognized in technical analysis as potential reversal signals, and their application in Forex trading is valuable due to the market’s high volatility and liquidity. This strategy leverages these candlestick patterns to enter and exit trades based on shifts in market sentiment and psychology. Testing and optimization, as offered by the script, can help refine the strategy and improve its effectiveness.
For further refinement, it could be valuable to consider combining candlestick patterns with other technical indicators or using multi-timeframe analysis to confirm patterns and increase the probability of successful trades.
References:
• Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of Technical Analysis: Computational Algorithms, Statistical Inference, and Empirical Implementation. The Journal of Finance, 55(4), 1705-1770.
• Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple Technical Trading Rules and the Stochastic Properties of Stock Returns. The Journal of Finance, 47(5), 1731-1764.
• Jegadeesh, N., & Titman, S. (1993). Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency. The Journal of Finance, 48(1), 65-91.
This provides a theoretical basis for the use of candlestick patterns in trading, supported by academic literature and research on market psychology and efficiency.
4H CRT (1AM and 5AM)This TradingView script is designed to assist traders in implementing the "4-Hour Candle Ranges Theory Strategy (CRT)" by identifying key levels and setups based on the 1am and 4am (5am) 4-hour candles. This strategy is particularly effective for trading high-volatility assets such as Gold, EUR/USD, NAS100, US30, and S&P500, with US30 showing a notably high win rate. Here's how the strategy works:
Key Features:
1. Marking 1am and 4am 4-Hour Candle Ranges
- The script highlights the high and low of the 1am 4-hour candle.
- It visually tracks whether the high or low of the 1am candle is taken out by the subsequent 4-hour candle (5am).
2. Entry Setup Rules
- Primary Setup: Wait for the high or low of the 1am candle to be taken out by the 5am candle. Once this sweep occurs, wait for a Market Structure Shift (MSS) on the lower time frame (15min) to confirm your entry.
- Secondary Setup: If the 5am candle fails to take out the high or low of the 1am candle, the setup focuses on the levels formed by the 5am candle.
3. Trade Execution on 15-Minute Timeframe
- The script supports a lower time frame (15min) view to identify MSS and fine-tune entries.
4. Rinse and Repeat
- This process can be applied daily for consistent opportunities across the specified assets.
Advantages:
- Provides clear visual markers for key levels based on the 4-hour candles.
- Automates level plotting, saving traders time and reducing manual errors.
- Integrates well with the 15-minute timeframe for precise entry triggers.
- Optimized for popular trading instruments, especially US30 for a higher probability of success.
This script simplifies the application of CRT by automating the process of identifying and marking critical levels, enabling traders to focus on executing high-probability setups effectively.
Created by Hamid (poraymanfx)
