Dual Bayesian For Loop [QuantAlgo]Discover the power of probabilistic investing and trading with Dual Bayesian For Loop by QuantAlgo , a cutting-edge technical indicator that brings statistical rigor to trend analysis. By merging advanced Bayesian statistics with adaptive market scanning, this tool transforms complex probability calculations into clear, actionable signals—perfect for both data-driven traders seeking statistical edge and investors who value probability-based confirmation!
🟢 Core Architecture
At its heart, this indicator employs an adaptive dual-timeframe Bayesian framework with flexible scanning capabilities. It utilizes a configurable loop start parameter that lets you fine-tune how recent price action influences probability calculations. By combining adaptive scanning with short-term and long-term Bayesian probabilities, the indicator creates a sophisticated yet clear framework for trend identification that dynamically adjusts to market conditions.
🟢 Technical Foundation
The indicator builds on three innovative components:
Adaptive Loop Scanner: Dynamically evaluates price relationships with adjustable start points for precise control over historical analysis
Bayesian Probability Engine: Transforms market movements into probability scores through statistical modeling
Dual Timeframe Integration: Merges immediate market reactions with broader probability trends through custom smoothing
🟢 Key Features & Signals
The Adaptive Dual Bayesian For Loop transforms complex calculations into clear visual signals:
Binary probability signal displaying definitive trend direction
Dynamic color-coding system for instant trend recognition
Strategic L/S markers at key probability reversals
Customizable bar coloring based on probability trends
Comprehensive alert system for probability-based shifts
🟢 Practical Usage Tips
Here's how you can get the most out of the Dual Bayesian For Loop :
1/ Setup:
Add the indicator to your TradingView chart by clicking on the star icon to add it to your favorites ⭐️
Start with default source for balanced price representation
Use standard length for probability calculations
Begin with Loop Start at 1 for complete price analysis
Start with default Loop Lookback at 70 for reliable sampling size
2/ Signal Interpretation:
Monitor probability transitions across the 50% threshold (0 line)
Watch for convergence of short and long-term probabilities
Use L/S markers for potential trade signals
Monitor bar colors for additional trend confirmation
Configure alerts for significant trend crossovers and reversals, ensuring you can act on market movements promptly, even when you’re not actively monitoring the charts
🟢 Pro Tips
Fine-tune loop parameters for optimal sensitivity:
→ Lower Loop Start (1-5) for more reactive analysis
→ Higher Loop Start (5-10) to filter out noise
Adjust probability calculation period:
→ Shorter lengths (5-10) for aggressive signals
→ Longer lengths (15-30) for trend confirmation
Strategy Enhancement:
→ Compare signals across multiple timeframes
→ Combine with volume for trade validation
→ Use with support/resistance levels for entry timing
→ Integrate other technical tools for even more comprehensive analysis
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[blackcat] L2 Kiosotto IndicatorOVERVIEW
The Kiosotto Indicator is a versatile technical analysis tool designed for forex trading but applicable to other financial markets. It excels in detecting market reversals and trends without repainting, ensuring consistent and reliable signals. The indicator has evolved over time, with different versions focusing on specific aspects of market analysis.
KEY FEATURES
Reversal Detection: Identifies potential market reversals, crucial for traders looking to capitalize on turning points.
Trend Detection: Earlier versions focused on detecting trends, useful for traders who prefer to follow the market direction.
Non-Repainting: Signals remain consistent on the chart, providing reliable and consistent signals.
Normalization: Later versions, such as Normalized Kiosotto and Kiosotto_2025, incorporate normalization to assess oversold and overbought conditions, enhancing interpretability.
VERSIONS AND EVOLUTION
Early Versions: Focused on trend detection, useful for following market direction.
2 in 1 Kiosotto: Emphasizes reversal detection and is considered an improvement by users.
Normalized Versions (e.g., Kiosotto_2025, Kiosotto_3_2025): Introduce normalization to assess oversold and overbought conditions, enhancing interpretability.
HOW TO USE THE KIOSOTTO INDICATOR
Understanding Signals:
Reversals: Look for the indicator's signals that suggest a potential reversal, indicated by color changes, line crossings, or other visual cues.
Trends: Earlier versions might show stronger trending signals, indicated by the direction or slope of the indicator's lines.
Normalization Interpretation (for normalized versions):
Oversold: When the indicator hits the lower boundary, it might indicate an oversold condition, suggesting a potential buy signal.
Overbought: Hitting the upper boundary could signal an overbought condition, suggesting a potential sell signal.
PINE SCRIPT IMPLEMENTATION
The provided Pine Script code is a version of the Kiosotto indicator. Here's a detailed explanation of the code:
//@version=5
indicator(" L2 Kiosotto Indicator", overlay=false)
//Pine version of Kiosotto 2015 v4 Alert ms-nrp
// Input parameters
dev_period = input.int(150, "Dev Period")
alerts_level = input.float(15, "Alerts Level")
tsbul = 0.0
tsber = 0.0
hpres = 0.0
lpres = 9999999.0
for i = 0 to dev_period - 1
rsi = ta.rsi(close , dev_period)
if high > hpres
hpres := high
tsbul := tsbul + rsi * close
if low < lpres
lpres := low
tsber := tsber + rsi * close
buffer1 = tsber != 0 ? tsbul / tsber : 0
buffer2 = tsbul != 0 ? tsber / tsbul : 0
// Plotting
plot(buffer1, color=color.aqua, linewidth=3, style=plot.style_histogram)
plot(buffer2, color=color.fuchsia, linewidth=3, style=plot.style_histogram)
hline(alerts_level, color=color.silver)
EXPLANATION OF THE CODE
Indicator Definition:
indicator(" L2 Kiosotto Indicator", overlay=false): Defines the indicator with the name " L2 Kiosotto Indicator" and specifies that it should not be overlaid on the price chart.
Input Parameters:
dev_period = input.int(150, "Dev Period"): Allows users to set the period for the deviation calculation.
alerts_level = input.float(15, "Alerts Level"): Allows users to set the level for alerts.
Initialization:
tsbul = 0.0: Initializes the tsbul variable to 0.0.
tsber = 0.0: Initializes the tsber variable to 0.0.
hpres = 0.0: Initializes the hpres variable to 0.0.
lpres = 9999999.0: Initializes the lpres variable to a very high value.
Loop for Calculation:
The for loop iterates over the last dev_period bars.
rsi = ta.rsi(close , dev_period): Calculates the RSI for the current bar.
if high > hpres: If the high price of the current bar is greater than hpres, update hpres and add the product of RSI and close price to tsbul.
if low < lpres: If the low price of the current bar is less than lpres, update lpres and add the product of RSI and close price to tsber.
Buffer Calculation:
buffer1 = tsber != 0 ? tsbul / tsber : 0: Calculates the first buffer as the ratio of tsbul to tsber if tsber is not zero.
buffer2 = tsbul != 0 ? tsber / tsbul : 0: Calculates the second buffer as the ratio of tsber to tsbul if tsbul is not zero.
Plotting:
plot(buffer1, color=color.aqua, linewidth=3, style=plot.style_histogram): Plots the first buffer as a histogram with an aqua color.
plot(buffer2, color=color.fuchsia, linewidth=3, style=plot.style_histogram): Plots the second buffer as a histogram with a fuchsia color.
hline(alerts_level, color=color.silver): Draws a horizontal line at the alerts_level with a silver color.
FUNCTIONALITY
The Kiosotto indicator calculates two buffers based on the RSI and price levels over a specified period. The buffers are plotted as histograms, and a horizontal line is drawn at the alerts level. The indicator helps traders identify potential reversals and trends by analyzing the relationship between the RSI and price levels.
ALGORITHMS
RSI Calculation:
The Relative Strength Index (RSI) measures the speed and change of price movements. It is calculated using the formula:
RSI=100− (1+RS) / 100
where RS is the ratio of the average gain to the average loss over the specified period.
Buffer Calculation:
The buffers are calculated as the ratio of the sum of RSI multiplied by the close price for high and low price conditions. This helps in identifying the balance between buying and selling pressure.
Signal Generation:
The indicator generates signals based on the values of the buffers and the alerts level. Traders can use these signals to make informed trading decisions, such as entering or exiting trades based on potential reversals or trends.
APPLICATION SCENARIOS
Reversal Trading: Traders can use the Kiosotto indicator to identify potential reversals by looking for significant changes in the buffer values or crossings of the alerts level.
Trend Following: The indicator can also be used to follow trends by analyzing the direction and slope of the buffer lines.
Oversold/Overbought Conditions: For normalized versions, traders can use the indicator to identify oversold and overbought conditions, which can provide buy or sell signals.
THANKS
Special thanks to the TradingView community and the original developers for their contributions and support in creating and refining the Kiosotto Indicator.
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Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes.
How the Indicator Works
Dynamic Levels:
- Yellow Dotted Line: Represents the entry level, following the latest price dynamically.
- Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time.
- Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts.
Bollinger Bands:
Provides context for market volatility and potential overbought/oversold zones.
Narrowing bands signal consolidation, while expanding bands indicate increased volatility.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the lower Bollinger Band.
Sell Signal: Triggered when the price crosses below the upper Bollinger Band.
These signals help traders time entries and exits based on momentum shifts.
Risk/Reward Analysis:
Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels.
Timeframe Suggestions
Short-Term Traders (Scalping):
Use on 5-minute to 15-minute charts.
Focus on high-volatility periods for quick entries and exits.
Intraday Traders:
Ideal for 30-minute to 1-hour charts.
Provides more stable signals and less noise.
Swing Traders:
Best suited for 4-hour or daily charts.
Captures broader trends with fewer signals, allowing for larger moves.
Tool Combination
Volume Profile:
Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels.
Trend Indicators:
Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction.
Example: Only take buy signals in an uptrend and sell signals in a downtrend.
Momentum Oscillators:
Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions.
Support/Resistance Lines:
Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones.
Useful Advice for Traders
Risk Management:
- Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2).
- Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping).
Avoid Overtrading:
Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods.
Monitor market volatility:
Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs.
Test on Demo Accounts:
Practice using the indicator on a demo account to understand its behavior across different assets and timeframes.
Focus on High-Liquidity Markets:
For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices.
Summary
The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Enigma Unlocked 2.0Description for "Enigma Unlocked 2.0" Pine Script Indicator
Overview
Enigma Unlocked 2.0 is an advanced and highly customizable indicator designed to deliver actionable buy and sell signals by leveraging precise candlestick logic during specific market transitions. This indicator is built for flexibility, helping traders identify high-probability trade setups during key trading periods, specifically the transitions between the Asian Kill Zone and London Kill Zone as well as the London Kill Zone and New York Kill Zone on the 30-minute timeframe.
By combining Enigma Unlocked 2.0 with the ICT Killzones & Pivots indicator, traders can gain a deeper understanding of the timing and location of these transitions. Waiting for signals during these defined kill zones increases the likelihood of finding high-probability trade setups.
How to Use
Follow the Kill Zone Transitions:
Use the ICT Killzones & Pivots indicator to clearly visualize the boundaries of the Asian, London, and New York kill zones.
Focus on the signals generated by Enigma Unlocked 2.0 that align with these kill zone transitions.
Plotting Entries and Targets with Gann Box:
For Buy Signals:
Use the Gann Box tool to mark the high and low of the signal candle.
Ensure your Gann Box settings include only the 50%, 0%, and 100% levels.
Your entry zone lies between the 50% and 100% levels (discount zone). This is where buy trades are expected to offer an optimal risk-reward ratio.
For Sell Signals:
Similarly, plot the Gann Box on the high and low of the signal candle.
The 50% to 100% zone acts as the premium area for sell trades.
Setting Stop Loss and Targets:
To identify a safe stop loss, split the 50% zone of the Gann Box using another Gann Box.
Draw the secondary Gann Box from 50% to 100% of the initial box, then extend it to double the height.
For sell trades, place the stop loss above the extended 100% level.
For buy trades, place the stop loss below the extended 100% level.
Aim for a minimum of 1:1 risk-to-reward to ensure optimal trade management.
How It Works
Buy Logic:
Buy Logic 1: Detects a bullish candle (close > open) that:
Closes above its midpoint (50% of the candle body).
Has a low lower than the previous candle's low.
Buy Logic 2: Identifies a bearish candle (close < open) that:
Closes above its midpoint (50% of the candle body).
Has a low lower than the previous candle's low.
Sell Logic:
Sell Logic 1: Detects a bearish candle (close < open) that:
Closes below its midpoint (50% of the candle body).
Has a high higher than the previous candle's high.
Sell Logic 2: Identifies a bullish candle (close > open) that:
Closes below its midpoint (50% of the candle body).
Has a high higher than the previous candle's high.
Real-Time Alerts and Visual Cues:
Green triangles below candles indicate buy opportunities.
Red triangles above candles indicate sell opportunities.
Built-in alert conditions notify you of signals in real-time, so you never miss a trading opportunity.
Why Use Enigma Unlocked 2.0?
Precision: Advanced candlestick logic ensures that signals are generated only under optimal conditions.
Session-Based Filtering: Signals occur exclusively during the most active market sessions (kill zones), improving trade quality.
Visualization: Simple yet effective tools like Gann Box integration and clear visual signals make this indicator easy to use and highly effective.
Real-Time Alerts: Stay informed of potential trades even when you're away from your screen.
Enigma Unlocked 2.0 empowers traders to harness the power of candlestick analysis and session-based strategies for disciplined and effective trading. Pair this with a solid understanding of risk management and kill zones to achieve consistent results in your trading journey.
Yenduri - Buy/Sell SignalsThis indicator is designed primarily for educational purposes only. The author of this indicator is not responsible for any profits or losses incurred when trading based on it with real money.
This indicator not only identifies the trend and its strength but also indicates when to enter and exit trades. Additionally, it displays support and resistance levels. It is compatible with all time frames. A table on the top right corner shows whether the ADX is trending up or down for the selected time frame. It also provides the trend signal for that specific time frame. Along with the selected time frame, details for the next two higher time frames are also displayed. Moreover, the details of the selected index within the same time frame are shown.
The indicator works best on higher time frames. As the time frame decreases, the accuracy reduces. Trading on a monthly time frame can result in significant profits. However, trading on shorter time frames like 5 or 15 minutes for intraday purposes carries higher risk. For intraday trading, several other factors must also be considered.
If there is no support from the next higher time frame, the results may be less favorable, even up to the daily time frame. Therefore, it is advisable to trade only when there is support from the next higher time frame. If there is no support from the next higher time frame, it is best to exit immediately after receiving an exit signal. When there is support from the next higher time frame, traders willing to take risks can stay in the trade as long as the support continues.
In case the stock or asset moves in the opposite direction of the signal, the indicator suggests an exit at the same point where the buy/sell signal was generated, minimizing potential losses.
Renko Boxes [by dawoud]This indicator combines the strength of Renko channels with traditional price action charts, offering a unique perspective on market trends and reversals. Unlike standalone Renko charts, which obscure time, this indicator overlays Renko-based channels directly onto your standard price action chart, precisely showing trends over time.
Key Features:
Renko Channel Visualization: Clearly defined channels help identify trends, support, and resistance levels.
Seamless Integration: The Renko channels are plotted directly on your regular candlestick or bar charts, preserving the context of price and time.
Enhanced Trend Clarity: Smooth out market noise and focus on significant price movements.
Customizable Settings: Adjust brick size and channel parameters to fit your trading strategy.
I haven't yet figured out a strategy for this indicator. If you have an idea, please contact me and we will build that together.
Yenduri - Buy/Sell SignalsThis indicator is designed primarily for educational purposes only. The author of this indicator is not responsible for any profits or losses incurred when trading based on it with real money.
This indicator not only identifies the trend and its strength but also indicates when to enter and exit trades. Additionally, it displays support and resistance levels. It is compatible with all time frames. A table on the top right corner shows whether the ADX is trending up or down for the selected time frame. It also provides the trend signal for that specific time frame. Along with the selected time frame, details for the next two higher time frames are also displayed. Moreover, the details of the selected index within the same time frame are shown.
The indicator works best on higher time frames. As the time frame decreases, the accuracy reduces. Trading on a monthly time frame can result in significant profits. However, trading on shorter time frames like 5 or 15 minutes for intraday purposes carries higher risk. For intraday trading, several other factors must also be considered.
If there is no support from the next higher time frame, the results may be less favorable, even up to the daily time frame. Therefore, it is advisable to trade only when there is support from the next higher time frame. If there is no support from the next higher time frame, it is best to exit immediately after receiving an exit signal. When there is support from the next higher time frame, traders willing to take risks can stay in the trade as long as the support continues.
In case the stock or asset moves in the opposite direction of the signal, the indicator suggests an exit at the same point where the buy/sell signal was generated, minimizing potential losses.
Fibonacci Retracement Percent// Fibonacci Retracement Percent
// use bodies or wicks
// show price percent from high to low, low to high or change from current price within fib range and prices on fib levels
// extend fib levels or draw outside of chart
// highlight lookback area and area between low and high
Goldberg Forecast Trend Finder### **Goldberg Forecast Trend Finder Description**
The **Goldberg Forecast Trend Finder** is a powerful technical analysis tool designed to combine adaptive trend detection and future price forecasting in a single indicator. It provides traders with insights into market trends and potential price movements, helping them make data-driven decisions.
---
### **Key Features:**
#### 1. **Adaptive Trend Channel**:
- Identifies the current trend using a moving average and standard deviation bands.
- The **upper band** and **lower band** dynamically adjust based on market volatility.
- The **midline** acts as a central guide for the trend, offering potential areas of support and resistance.
- Fully customizable with options for deviation multiplier, line style, and channel transparency.
#### 2. **Forecasting Capability**:
- Predicts future price movements using a historical correlation between past and future price windows.
- Offers three forecast construction methods:
- **Cumulative**: Builds predictions by summing price differences.
- **Mean**: Forecasts based on the average price of a reference window.
- **Linear Regression (Linreg)**: Provides the most precise forecasts using statistical regression models.
- Includes a "Similarity" or "Dissimilarity" mode to match or contrast price behavior.
#### 3. **Visual Insights**:
- Forecast lines: Visualize predicted price movements on the chart with adjustable styles (solid, dashed, or dotted).
- Trend channels: Clearly define upper and lower trend boundaries with a transparent fill area.
- Areas of analysis: Highlights evaluation, reference, and correlation zones for better understanding of the forecast.
#### 4. **Customizable Inputs**:
- Evaluation and Forecast windows can be tailored to fit short-term or long-term trading strategies.
- Full control over color schemes, line styles, and data sources (e.g., closing price, high, low).
#### 5. **Debugging and Error Prevention**:
- Automatically adjusts to ensure sufficient data for calculations.
- Warns users if selected settings exceed available historical data.
---
### **How to Use:**
1. **Trend Analysis**:
- Observe the **trend channel** for direction. A rising channel suggests an uptrend, while a falling channel indicates a downtrend.
- Use the **midline** for potential reversal or continuation points.
2. **Forecasting**:
- Set the **Evaluation Window** to define the historical period to analyze.
- Adjust the **Forecast Window** to predict future price movements over your desired timeframe.
- Choose **Linear Regression (Linreg)** for precise statistical predictions or other modes for general trends.
3. **Trade Decision Making**:
- Use the **forecast lines** to anticipate price targets and reversals.
- Combine trend channels with forecast data to confirm entry and exit points.
---
### **Who Should Use This Indicator?**
The **Goldberg Forecast Trend Finder** is ideal for:
- **Swing Traders**: Looking for trend-based opportunities over medium timeframes.
- **Day Traders**: Seeking short-term price movement forecasts.
- **Position Traders**: Identifying long-term trends and key support/resistance levels.
- **Technical Analysts**: Interested in combining trend analysis with future price forecasting.
---
This indicator blends precision and adaptability, making it an invaluable tool for traders at any experience level. Whether you're identifying trends or forecasting potential price movements, the **Goldberg Forecast Trend Finder** equips you with the insights needed to stay ahead in the markets.
Zenith Oscillator IndicatorHow the Zenith Oscillator Works
The Zenith Oscillator is a powerful custom trading tool designed to identify market reversals, trends, and momentum shifts. It combines multiple smoothed calculations into a normalized range (0-100), offering clear visual cues for overbought and oversold conditions. Additionally, it incorporates a volume filter to ensure signals are generated only during significant market activity, improving reliability.
The oscillator has two main components:
1. Smoothed Oscillator Line (Primary Line):
Dynamically changes color based on its slope:
Green for upward momentum.
Red for downward momentum.
Indicates the market's momentum and helps confirm trends.
2. Recursive Moving Average (RMA):
A secondary smoothed line plotted alongside the oscillator for additional confirmation of trends and signals.
---
How to Use the Zenith Oscillator in Trading
The indicator generates Buy (Long) and Sell (Short) signals based on specific conditions, with added priority to signals occurring in overbought or oversold zones.
Key Features:
1. Overbought and Oversold Levels:
Overbought (80): Signals potential price exhaustion, where a reversal to the downside is likely.
Oversold (20): Signals potential price exhaustion, where a reversal to the upside is likely.
Priority should be given to signals occurring near these levels, as they represent stronger trading opportunities.
2. Volume Filter:
Signals are only generated when volume exceeds a defined threshold (1.75 times the 50-period volume moving average).
This ensures signals are triggered during meaningful price action, reducing noise and false entries.
3. Signal Generation:
Buy Signal: The oscillator crosses above the oversold level (20) during high volume.
Sell Signal: The oscillator crosses below the overbought level (80) during high volume.
4. Visual Enhancements:
Background Highlights:
Red when the oscillator is in overbought territory (above 80).
Green when the oscillator is in oversold territory (below 20).
These highlights serve as visual cues for areas of interest.
---
Trading Strategies
1. Reversal Trading (Priority Signals):
Look for Buy Signals when the oscillator crosses above the oversold level (20), particularly when:
The background is green (oversold).
Volume is high (volume filter is satisfied).
Look for Sell Signals when the oscillator crosses below the overbought level (80), particularly when:
The background is red (overbought).
Volume is high.
Why prioritize these signals?
Reversals occurring in overbought or oversold zones are strong indicators of market turning points, often leading to significant price movements.
2. Trend Continuation:
Use the RMA line to confirm trends:
In an uptrend, ensure the oscillator remains above the RMA, and look for buy signals near oversold levels.
In a downtrend, ensure the oscillator remains below the RMA, and look for sell signals near overbought levels.
This strategy helps capture smaller pullbacks within larger trends.
3. Volume-Driven Entries:
Only take trades when volume exceeds the threshold defined by the 50-period volume moving average and multiplier (1.75).
This filter ensures you’re trading during active periods, reducing the risk of false signals.
---
Practical Tips
1. Focus on Priority Signals:
Treat signals generated in overbought (above 80) and oversold (below 20) zones with higher confidence.
These signals often coincide with market exhaustion and are likely to precede strong reversals.
2. Use as a Confirmation Tool:
Combine the Zenith Oscillator with price action or other indicators (e.g., support/resistance levels, trendlines) for additional confirmation.
3. Avoid Choppy Markets:
The oscillator performs best in markets with clear trends or strong reversals.
If the oscillator fluctuates frequently between signals without clear movement, consider staying out of the market.
4. Adjust Thresholds for Specific Assets:
Different assets or markets (e.g., crypto vs. stocks) may require adjusting the overbought/oversold levels or volume thresholds for optimal performance.
---
Example Trades
1. Buy Example:
The oscillator dips below 20 (oversold) and generates a green circle (buy signal) as it crosses back above 20.
Background is green, and volume is above the threshold.
Take a long position and set a stop-loss below the recent low.
2. Sell Example:
The oscillator rises above 80 (overbought) and generates a red circle (sell signal) as it crosses back below 80.
Background is red, and volume is above the threshold.
Take a short position and set a stop-loss above the recent high.
---
Summary
The Zenith Oscillator is a versatile trading tool designed to identify high-probability trade setups by combining momentum, volume, and smoothed trend analysis. By prioritizing signals near overbought/oversold levels during high-volume conditions, traders can gain an edge in capturing significant price moves. Use it in combination with sound risk management and additional confirmation tools for best results.
Javokhir buy sellIt mixes ichimoku and support resistance. You wont miss the bottom or top while waiting ichimoku signals, and you wont miss a chance to sell while waiting price reaches to support or resistance
50 EMA + 200 EMA with Buy-Sell Colors50 EMA and 200 EMA with Buy-Sell Colors Indicator Strategy
Creator: PRO MENTOR
The 50 EMA and 200 EMA with Buy-Sell Colors Indicator is a dynamic trading tool designed to help traders identify trends and potential buy or sell opportunities in the market. Developed by PRO MENTOR, this indicator combines two exponential moving averages (EMAs) with visually distinct color coding for enhanced clarity and decision-making.
Key Features:
50 EMA and 200 EMA Crossover:
The 50 EMA represents the short-term trend, while the 200 EMA reflects the long-term trend.
Crossovers between these two EMAs signal potential shifts in market momentum:
Buy Signal: When the 50 EMA crosses above the 200 EMA, indicating bullish momentum.
Sell Signal: When the 50 EMA crosses below the 200 EMA, indicating bearish momentum.
Color-Coded Visualization:
The 50 EMA line changes color based on its position relative to the 200 EMA:
Green: Indicates a buy signal or bullish market condition.
Red: Indicates a sell signal or bearish market condition.
The 200 EMA also adapts similar color coding for additional confirmation.
Adjustable Line Thickness:
The EMA lines are set to a thickness of 4, ensuring clear visibility on the chart.
Simplicity and Precision:
Designed for traders of all levels, this indicator provides straightforward buy/sell visual cues, reducing the need for complex analysis.
Strategy Use:
This indicator is particularly useful in trend-following strategies, allowing traders to ride market trends effectively.
By identifying key crossover points, traders can make informed decisions about entry and exit points, minimizing guesswork.
Benefits:
Clarity: Color-coded signals simplify chart interpretation, especially in volatile markets.
Efficiency: Combines two essential EMAs into a single tool for streamlined analysis.
Versatility: Suitable for various asset classes, including stocks, forex, and cryptocurrencies.
This strategy, crafted by PRO MENTOR, is a reliable tool for traders seeking to improve their technical analysis and capitalize on market trends with precision and confidence.
Larry Williams: Market StructureLarry Williams' Three-Bar System of Highs and Lows: A Definition of Market Structure
Larry Williams developed a method of market structure analysis based on identifying local extrema using a sequence of three consecutive bars. This approach helps traders pinpoint significant turning points on the price chart.
Definition of Local Extrema:
Local High:
Consists of three bars where the middle bar has the highest high, while the lows of the bars on either side are lower than the low of the middle bar.
Local Low:
Consists of three bars where the middle bar has the lowest low, while the highs of the bars on either side are higher than the high of the middle bar.
This structure helps identify meaningful reversal points on the price chart.
Constructing the Zigzag Line:
Once the local highs and lows are determined, they are connected with lines to create a zigzag pattern.
This zigzag reflects the major price swings, filtering out minor fluctuations and market noise.
Medium-Term Market Structure:
By analyzing the sequence of local extrema, it is possible to determine the medium-term market trend:
Upward Structure: A sequence of higher highs and higher lows.
Downward Structure: A sequence of lower highs and lower lows.
Sideways Structure (Flat): Lack of a clear trend, where highs and lows remain approximately at the same level.
This method allows traders and analysts to better understand the current market phase and make informed trading decisions.
Built-in Indicator Feature:
The indicator includes a built-in functionality to display Intermediate Term Highs and Lows , which are defined by filtering short-term highs and lows as described in Larry Williams' methodology. This feature is enabled by default, ensuring traders can immediately visualize key levels for support, resistance, and trend assessment.
Quote from Larry Williams' Work on Intermediate Term Highs and Lows:
"Now, the most interesting part! Look, if we can identify a short-term high by defining it as a day with lower highs (excluding inside days) on both sides, we can take a giant leap forward and define an intermediate term high as any short-term high with lower short-term highs on both sides. But that’s not all, because we can take it even further and say that any intermediate term high with lower intermediate term highs on both sides—you see where I’m going—forms a long-term high.
For many years, I made a very good living simply by identifying these points as buy and sell signals. These points are the only valid support and resistance levels I’ve ever found. They are crucial, and the breach of these price levels provides important information about trend development and changes. Therefore, I use them for placing stop loss protection and entry methods into the market."
— Larry Williams
This insightful quote highlights the practical importance of identifying market highs and lows at different timeframes and underscores their role in effective trading strategies.
Rolling Window Geometric Brownian Motion Projections📊 Rolling GBM Projections + EV & Adjustable Confidence Bands
Overview
The Rolling GBM Projections + EV & Adjustable Confidence Bands indicator provides traders with a robust, dynamic tool to model and project future price movements using Geometric Brownian Motion (GBM). By combining GBM-based simulations, expected value (EV) calculations, and customizable confidence bands, this indicator offers valuable insights for decision-making and risk management.
Key Features
Rolling GBM Projections: Simulate potential future price paths based on drift (μμ) and volatility (σσ).
Expected Value (EV) Line: Represents the average projection of simulated price paths.
Confidence Bands: Define ranges where the price is expected to remain, adjustable from 51% to 99%.
Simulation Lines: Visualize individual GBM paths for detailed analysis.
EV of EV Line: A smoothed trend of the EV, offering additional clarity on price dynamics.
Customizable Lookback Periods: Adjust the rolling lookback periods for drift and volatility calculations.
Mathematical Foundation
1. Geometric Brownian Motion (GBM)
GBM is a mathematical model used to simulate the random movement of asset prices, described by the following stochastic differential equation:
dSt=μStdt+σStdWt
dSt=μStdt+σStdWt
Where:
StSt: Price at time tt
μμ: Drift term (expected return)
σσ: Volatility (standard deviation of returns)
dWtdWt: Wiener process (standard Brownian motion)
2. Drift (μμ) and Volatility (σσ)
Drift (μμ): Represents the average logarithmic return of the asset. Calculated using a simple moving average (SMA) over a rolling lookback period.
μ=SMA(ln(St/St−1),Lookback Drift)
μ=SMA(ln(St/St−1),Lookback Drift)
Volatility (σσ): Measures the standard deviation of logarithmic returns over a rolling lookback period.
σ=STD(ln(St/St−1),Lookback Volatility)
σ=STD(ln(St/St−1),Lookback Volatility)
3. Price Simulation Using GBM
The GBM formula for simulating future prices is:
St+Δt=St×e(μ−12σ2)Δt+σϵΔt
St+Δt=St×e(μ−21σ2)Δt+σϵΔt
Where:
ϵϵ: Random variable from a standard normal distribution (N(0,1)N(0,1)).
4. Confidence Bands
Confidence bands are determined using the Z-score corresponding to a user-defined confidence percentage (CC):
Upper Band=EV+Z⋅σ
Upper Band=EV+Z⋅σ
Lower Band=EV−Z⋅σ
Lower Band=EV−Z⋅σ
The Z-score is computed using an inverse normal distribution function, approximating the relationship between confidence and standard deviations.
Methodology
Rolling Drift and Volatility:
Drift and volatility are calculated using logarithmic returns over user-defined rolling lookback periods (default: μ=20μ=20, σ=16σ=16).
Drift defines the overall directional tendency, while volatility determines the randomness and variability of price movements.
Simulations:
Multiple GBM paths (default: 30) are generated for a specified number of projection candles (default: 12).
Each path is influenced by the current drift and volatility, incorporating random shocks to simulate real-world price dynamics.
Expected Value (EV):
The EV is calculated as the average of all simulated paths for each projection step, offering a statistical mean of potential price outcomes.
Confidence Bands:
The upper and lower bounds of the confidence bands are derived using the Z-score corresponding to the selected confidence percentage (e.g., 68%, 95%).
EV of EV:
A running average of the EV values, providing a smoothed perspective of price trends over the projection horizon.
Indicator Functionality
User Inputs:
Drift Lookback (Bars): Define the number of bars for rolling drift calculation (default: 20).
Volatility Lookback (Bars): Define the number of bars for rolling volatility calculation (default: 16).
Projection Candles (Bars): Set the number of bars to project future prices (default: 12).
Number of Simulations: Specify the number of GBM paths to simulate (default: 30).
Confidence Percentage: Input the desired confidence level for bands (default: 68%, adjustable from 51% to 99%).
Visualization Components:
Simulation Lines (Blue): Display individual GBM paths to visualize potential price scenarios.
Expected Value (EV) Line (Orange): Highlight the mean projection of all simulated paths.
Confidence Bands (Green & Red): Show the upper and lower confidence limits.
EV of EV Line (Orange Dashed): Provide a smoothed trendline of the EV values.
Current Price (White): Overlay the real-time price for context.
Display Toggles:
Enable or disable components (e.g., simulation lines, EV line, confidence bands) based on preference.
Practical Applications
Risk Management:
Utilize confidence bands to set stop-loss levels and manage trade risk effectively.
Use narrower confidence intervals (e.g., 50%) for aggressive strategies or wider intervals (e.g., 95%) for conservative approaches.
Trend Analysis:
Observe the EV and EV of EV lines to identify overarching trends and potential reversals.
Scenario Planning:
Analyze simulation lines to explore potential outcomes under varying market conditions.
Statistical Insights:
Leverage confidence bands to understand the statistical likelihood of price movements.
How to Use
Add the Indicator:
Copy the script into the TradingView Pine Editor, save it, and apply it to your chart.
Customize Settings:
Adjust the lookback periods for drift and volatility.
Define the number of projection candles and simulations.
Set the confidence percentage to tailor the bands to your strategy.
Interpret the Visualization:
Use the EV and confidence bands to guide trade entry, exit, and position sizing decisions.
Combine with other indicators for a holistic trading strategy.
Disclaimer
This indicator is a mathematical and statistical tool. It does not guarantee future performance.
Use it in conjunction with other forms of analysis and always trade responsibly.
Happy Trading! 🚀
PreMarket_Estimator Portfolio [ndot.io]Strategy Core Idea:
I focus on stocks that are expected to show significant price movements (gaps) during the premarket, usually due to news or earnings reports. I record the highest price formed during the premarket, and if the price exceeds this level after the market opens, I go LONG. Based on my experience, it’s advisable to exit after a few percentage points of increase, as the premarket boom often corrects itself.
Usage:
The indicator is best used in pairs: Pre_Market_Estimator Single and Pre_Market_Estimator Portfolio.
In the portfolio version, you can set up 6 different instruments, which are displayed stacked vertically on the screen, while the single version monitors only one instrument. The portfolio does not plot charts at the actual price levels but offsets them vertically, displaying the current prices in a label at the end of each chart.
Time point 1: Start of the observation period.
Time point 2: End of the observation period / Start of the trading period.
GAP: is used to adjust the distance between the charts displayed in the portfolio view. This allows you to customize the spacing for better readability and visualization of the monitored instruments.
Set the timeframe period to "1m".
Set Time point 1 to the start of the premarket session on the current day (e.g., NYSE: 9:00).
Set Time point 2 to the market open (e.g., NYSE: 9:30).
The indicator monitors the highest price during the premarket period, marking it with a blue line.
During the subsequent trading period, if the price exceeds the premarket high, it generates a buy signal marked with a blue plus sign.
Limitations:
The premarket prediction typically provides actionable signals during the first 30 minutes to 1 hour of the trading session. After this, the trend is usually driven by daily market events or news.
To reduce data usage, the portfolio version of the indicator (which monitors 6 instruments simultaneously) only loads the last 24 hours of data (60 * 24 minutes). After this, the chart stops providing signals, and the time points need to be reset.
Additional Use Cases:
This type of breakout monitoring is not only suitable for observing premarket events but can also provide relevant information before major announcements.
For example, in the case of central bank rate hikes:
Set Point 1 to 1 hour before the announcement.
Set Point 2 to the time of the announcement.
Disclaimer:
The use of this indicator is entirely at the user’s own risk. The indicator does not guarantee predictive accuracy, and its performance significantly depends on market sentiment, volatility, and other external factors. Always conduct thorough analysis and implement proper risk management before making any trading decisions. This indicator is for educational and informational purposes only and should not be considered as investment advice.
GB_Sir : 15 Min Inside Bar15 Min Inside Bar Setup are fetched by this indicator. Persistent lines are drawn on High and Low of 2nd bar. These lines remains persistent even after changing timeframe of chart to lower time frame.
EMA Scalper - 8, 21, 50, 100Here’s a detailed description of the updated EMA Scalper - 8, 21, 50, 100 script, where the buy and sell signals have been removed:
1. Input Parameters:
• 8 EMA Length: The period for the fastest EMA (default: 8).
• 21 EMA Length: The period for a slightly slower EMA (default: 21).
• 50 EMA Length: A medium-term EMA used to capture broader trends (default: 50).
• 100 EMA Length: A long-term EMA that acts as a trend filter (default: 100).
These inputs allow you to easily adjust the periods for the different EMAs according to your scalping or trading preferences.
2. EMA Calculations:
• ema8: Exponential moving average calculated over the last 8 periods (fast EMA).
• ema21: Exponential moving average calculated over the last 21 periods (slower than the 8 EMA).
• ema50: Exponential moving average calculated over the last 50 periods (medium-term EMA).
• ema100: Exponential moving average calculated over the last 100 periods (long-term EMA, acts as a trend filter).
These EMAs are calculated to help identify short-term, medium-term, and long-term trends on the chart.
3. Plotting the EMAs:
• The script plots each of the EMAs on the chart:
• 8 EMA is plotted in blue.
• 21 EMA is plotted in orange.
• 50 EMA is plotted in green.
• 100 EMA is plotted in red.
This allows you to visually observe how the price interacts with each of these EMAs and identify potential crossovers or trends.
4. Purpose:
• The script now serves purely as a visual tool that plots the 8, 21, 50, and 100 EMAs on your chart.
• You can manually interpret the crossovers, trend direction, and price action with the EMAs, based on your trading strategy.
• 8 EMA crossing above the 21 EMA might suggest a short-term bullish trend.
• 8 EMA crossing below the 21 EMA might suggest a short-term bearish trend.
• The 50 EMA can be used to confirm a broader trend.
• The 100 EMA helps filter out signals that are against the long-term trend.
EMA Crossover Buy + Ichimoku Cloud Sell StrategyThis trading strategy combines two powerful technical indicators to identify potential buy and sell signals: the Exponential Moving Average (EMA) Crossover and the Ichimoku Cloud. Each indicator serves a different purpose in the strategy, helping to provide a more reliable and multi-faceted approach to decision-making.
1. EMA Crossover Buy Signal (Trend Confirmation)
The EMA Crossover strategy is based on the intersection of two EMAs of different periods, typically the short-term EMA (e.g., 9-period) and the long-term EMA (e.g., 21-period). The core concept behind the EMA crossover strategy is that when the shorter EMA crosses above the longer EMA, it signals a potential bullish trend.
Buy Signal:
The short-term EMA (9-period) crosses above the long-term EMA (21-period).
This indicates that the short-term price action is gaining strength and may continue to rise. The buy signal becomes more significant when both EMAs are positioned above the Ichimoku Cloud, confirming that the market is in a bullish phase.
2. Ichimoku Cloud Sell Signal (Trend Reversal or Correction)
The Ichimoku Cloud is a comprehensive indicator that helps define support and resistance levels, trend direction, and momentum. In this strategy, the Ichimoku Cloud is used as a filter for sell signals.
Sell Signal:
The price enters or is below the Ichimoku Cloud (meaning the market is in a bearish phase).
Price action should also be below the Cloud for confirmation.
Alternatively, if the price has already been above the cloud and then crosses below the Cloud or if the leading span B dips below leading span A, it can signal a potential trend reversal and act as a sell signal.
3. Strategy Execution (Buy and Sell Orders)
Buy Setup:
The short-term EMA (9-period) crosses above the long-term EMA (21-period), signaling a bullish trend.
Confirm that both EMAs are positioned above the Ichimoku Cloud.
Enter the buy trade at the crossover point or on a pullback after the crossover, with stop-loss below the recent swing low or cloud support.
Sell Setup:
Wait for the price to break below the Ichimoku Cloud, or if the price is already below the Cloud and the price continues to trend downward.
Optionally, wait for the short-term EMA to cross below the long-term EMA as a further confirmation of the bearish signal.
Exit or sell when these conditions align, placing stop-loss above the recent swing high or cloud resistance.
Advantages of This Strategy:
Trend Confirmation: The EMA crossover filters out choppy market conditions and confirms the direction of the trend.
Market Timing: The Ichimoku Cloud adds a secondary layer of trend verification and helps to identify reversal zones.
Clear Entry and Exit Points: The strategy offers distinct buy and sell signals, reducing subjective decision-making and improving consistency.
Trend Strength Analysis: The combination of the EMA Crossover and Ichimoku Cloud allows traders to confirm trend strength, ensuring the trader enters during a confirmed trend.
Risk Management:
Stop Loss: Place stop-loss orders slightly below recent lows for long positions or above recent highs for short positions, depending on market volatility.
Take Profit: Use a risk-to-reward ratio of at least 1:2, with price targets based on previous support/resistance levels or a fixed percentage.
Conclusion:
This strategy is designed for traders looking to capture trends in both bullish and bearish markets. The EMA Crossover Buy signal identifies trend initiation, while the Ichimoku Cloud Sell signal helps determine when to exit or reverse the position, reducing the risk of holding during a market reversal.
