Support Resistance Major/Minor [TradingFinder] Market Structure🔵 Introduction
Support and resistance levels are key concepts in technical analysis, serving as critical points where prices pause or reverse due to the interaction of supply and demand. These foundational elements in price action and classical technical analysis assist traders in understanding market behavior and making better trading decisions.
Support levels are zones where demand is strong enough to prevent further price declines, while resistance levels act as barriers that hinder price increases.
Support and resistance levels are divided into two main types: static and dynamic. Static levels are fixed horizontal lines on charts, formed based on historical price points, and are crucial due to repeated price reactions in these areas.
Dynamic levels, on the other hand, move with market trends and are often identified using tools like moving averages and trendlines. These levels are particularly useful for analyzing dynamic trends and identifying potential reversal points in financial markets.
The importance of support and resistance in technical analysis lies in their ability to pinpoint price reversal or continuation points. Professional traders use these levels to determine optimal entry and exit points and combine them with tools such as Fibonacci retracements or moving averages for precise strategies.
Detailed analysis of price behavior at these levels provides insights into trend strength and the likelihood of price breaks or reversals. By understanding these concepts, technical analysts can forecast future price movements and optimize their trading decisions using tools such as indicators and price action. Support and resistance levels, as a cornerstone of technical analysis, form the foundation for many trading strategies.
🔵 How to Use
The Static Support and Resistance Indicator is a vital tool for identifying significant price zones in financial markets. It automatically detects major and minor support and resistance levels in both short-term and long-term intervals, enabling traders to analyze price behavior accurately and develop optimal entry and exit strategies.
🟣 Major Long-Term Support and Resistance
Major Long-Term Support : The lowest price points recorded over long-term intervals that prevent further declines.
Major Long-Term Resistance : The highest price points in long-term intervals that limit further price increases.
🟣 Minor Long-Term Support and Resistance
Minor Long-Term Support : Temporary halts in price decline within a downtrend over long-term intervals.
Minor Long-Term Resistance : Short-term zones within long-term intervals where prices react negatively in an uptrend.
🟣 Major Short-Term Support and Resistance
Major Short-Term Support : The lowest price points in short-term intervals that act as barriers against sharp price drops.
Major Short-Term Resistance : The highest points in short-term intervals that prevent further price surges.
🟣 Minor Short-Term Support and Resistance
Minor Short-Term Support : Temporary halts in price decline within short-term downtrends.
Minor Short-Term Resistance : Zones where price reacts quickly and reverses in short-term uptrends.
🔵 Settings
Long Term S&R Pivot Period : Defines the interval for identifying long-term support and resistance levels (default: 21).
Short Term S&R Pivot Period : Defines the interval for identifying short-term support and resistance levels (default: 5).
🟣 Long-Term Lines
Major Line Display : Enable/disable major long-term lines.
Minor Line Display : Enable/disable minor long-term lines.
Major Line Colors : Green for support, red for resistance (long-term major levels).
Minor Line Colors : Light green for support, light red for resistance (long-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major long-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor long-term levels.
Major Line Width : Adjust the thickness of major long-term lines.
Minor Line Width : Adjust the thickness of minor long-term lines.
🟣 Short-Term Lines
Major Line Display : Enable/disable major short-term lines.
Minor Line Display : Enable/disable minor short-term lines.
Major Line Colors : Gray-green for support, gray-red for resistance (short-term major levels).
Minor Line Colors : Dark green for support, dark red for resistance (short-term minor levels).
Major Line Style : Choose between solid, dotted, or dashed lines for major short-term levels.
Minor Line Style : Choose between solid, dotted, or dashed lines for minor short-term levels.
Major Line Width : Adjust the thickness of major short-term lines.
Minor Line Width : Adjust the thickness of minor short-term lines.
🔵 Conclusion
Static support and resistance levels are among the most critical tools in technical analysis, helping traders identify key reversal or continuation points.
This indicator simplifies and enhances the analysis process by automatically detecting major and minor levels in both short-term and long-term intervals. It allows traders to customize settings to suit their trading strategies and analyze different market levels effectively.
Using this indicator improves price action analysis, enhances market understanding, and identifies trading opportunities. Applicable to all trading styles, from day trading to long-term investing, it is an essential tool for technical analysis.
Combining this indicator with other tools like trendlines, Fibonacci retracements, and moving averages enables comprehensive analysis and allows traders to navigate financial markets with greater confidence.
Trend Analysis
Supertrend with SL and TP LevelsThe supertrend indicator isn't just for pinpointing entry and exit points. It can also be used to set up stop losses. For example, if you are in a long position, you can place a stop-loss order at or below the supertrend line. Similarly, if you are in a short position, you might set a stop-loss order at or above the line.
Moreover, the difference between the supertrend line and the asset price can help determine the size of the trading position. The indicator can be applied to more than just individual stocks, currencies, or commodities. It can also identify price trends across entire sectors and asset classes. In other words, traders and investors can use the indicator for asset allocation.
The supertrend indicator is known for its simplicity and works best when prices are going in a clear direction, upward or downward. Like other technical analysis tools, it's more effective when used with indicators.
Multi Kernel Regression [ChartPrime] (buy/sell signals)just some buy and sell signals for the Multi Kernel Regression indicator from ChartPrime
i personaly use this settings:
Kernel: Gaussian
Bandwidth: 25
Source: open
[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.
Smart Money Breakouts [iskess 01-02 11:04]This is an big update to the excellent Smart Money Breakout Script published in Oct 2023 by ChartPrime.
I added:
- A selectable range of candles for the profit/loss calculations to look back on.
- An updated table that includes the percentage of wins/losses, and and overall P&L during the selected lookback range.
- The user can now select only Long trades, Short trades, or both.
- The percentage gain/loss is now indicated for every trade on the chart.
- The user can now select a different multiplier for Stop Loss or Take Profit thresholds.
I will include ChartPrime's original instruction below, or it can be found here
______________________________________________________________________
The "Smart Money Breakouts" indicator is designed to identify breakouts based on changes in character (CHOCH) or breaks of structure (BOS) patterns, facilitating automated trading with user-defined Take Profit (TP) level.
the indicator incorporates essential elements such as volume analysis and a data table to assist traders in optimizing their strategies.
🔸Breakout Detection:
The indicator scans price movements for "Change in Character" (CHOCH) and "Break of Structure" (BOS) patterns, signaling potential breakout opportunities in the market.
🔸User-Defined TP :
Traders can customize the Take Profit (TP) through the indicator settings, with these levels dynamically calculated based on the Average True Range (ATR). This allows for precise risk management and profit targets that adapt to market volatility.
🔸Volume Analysis and Trade Direction Specific Analysis:
The indicator includes a volume checker that provides valuable insights into the strength of the breakout, taking into account trade direction.
🔸If the volume label is red and the trade is long, it suggests a higher likelihood of hitting the Stop Loss (SL).
🔸If the volume label is green and the trade is long, it indicates a higher probability of hitting the Take Profit (TP).
🔸For short trades, a red volume label suggests a higher likelihood of hitting TP, while a green label suggests a higher likelihood of hitting SL.
🔸A yellow volume label suggests that the volume is inconclusive, neither favoring bullish nor bearish movements.
🔸Data Table:
The indicator features a data table that keeps track of the number of winning and losing trades for specific timeframes or configurations.
This table serves as a valuable tool for traders to analyze performance and discover optimal settings and timeframes.
The "Smart Money Breakouts" indicator provides traders with a comprehensive solution for breakout trading, combining technical analysis of changes in character and breaks of structure, volume insights, and performance tracking while dynamically adjusting TP and SL levels based on market volatility through the ATR.
KayVee Buy Sell Gold Indicator//@version=6
indicator(title="KayTest", overlay=true)
// Input Parameters
src = input(defval=close, title="Source")
per = input.int(defval=100, minval=1, title="Sampling Period")
mult = input.float(defval=3.0, minval=0.1, title="Range Multiplier")
// Smooth Range Function
smoothrng(x, t, m) =>
wper = t * 2 - 1
avrng = ta.ema(math.abs(x - x ), t)
smoothVal = ta.ema(avrng, wper) * m
smoothVal
// Compute Smooth Range
smrng = smoothrng(src, per, mult)
// Range Filter Function
rngfilt(x, r) =>
filtVal = x
filtVal := x > nz(filtVal ) ? (x - r < nz(filtVal ) ? nz(filtVal ) : x - r) : (x + r > nz(filtVal ) ? nz(filtVal ) : x + r)
filtVal
// Apply Filter
filt = rngfilt(src, smrng)
// Trend Detection
upward = 0.0
upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward )
downward = 0.0
downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward )
// Bands
hband = filt + smrng
lband = filt - smrng
// Colors
filtcolor = upward > 0 ? color.lime : downward > 0 ? color.red : color.orange
barcolor = src > filt and src > src and upward > 0 ? color.lime :
src > filt and src < src and upward > 0 ? color.green :
src < filt and src < src and downward > 0 ? color.red :
src < filt and src > src and downward > 0 ? color.maroon : color.orange
// Plot Indicators
plot(filt, color=filtcolor, linewidth=3, title="Range Filter")
plot(hband, color=color.new(color.aqua, 90), title="High Target")
plot(lband, color=color.new(color.fuchsia, 90), title="Low Target")
// Fill the areas between the bands and filter line
fill1 = plot(hband, color=color.new(color.aqua, 90), title="High Target")
fill2 = plot(filt, color=color.new(color.aqua, 90), title="Range Filter")
fill(fill1, fill2, color=color.new(color.aqua, 90), title="High Target Range")
fill3 = plot(lband, color=color.new(color.fuchsia, 90), title="Low Target")
fill4 = plot(filt, color=color.new(color.fuchsia, 90), title="Range Filter")
fill(fill3, fill4, color=color.new(color.fuchsia, 90), title="Low Target Range")
barcolor(barcolor)
// Buy and Sell Conditions (adjusting for correct line continuation)
longCond1 = (src > filt) and (src > src ) and (upward > 0)
longCond2 = (src > filt) and (src < src ) and (upward > 0)
longCond = longCond1 or longCond2
shortCond1 = (src < filt) and (src < src ) and (downward > 0)
shortCond2 = (src < filt) and (src > src ) and (downward > 0)
shortCond = shortCond1 or shortCond2
// Initialization of Condition
CondIni = 0
CondIni := longCond ? 1 : shortCond ? -1 : CondIni
// Long and Short Signals
longCondition = longCond and CondIni == -1
shortCondition = shortCond and CondIni == 1
// Plot Signals
plotshape(longCondition, title="Buy Signal", text="Buy", textcolor=color.white, style=shape.labelup, size=size.normal, location=location.belowbar, color=color.green)
plotshape(shortCondition, title="Sell Signal", text="Sell", textcolor=color.white, style=shape.labeldown, size=size.normal, location=location.abovebar, color=color.red)
// Alerts
alertcondition(longCondition, title="Buy Alert", message="BUY")
alertcondition(shortCondition, title="Sell Alert", message="SELL")
[HEBI] BB with ADX * Customizable moving averages: Choose SMA or EMA.
* Dual Bollinger Bands: Analyze different volatility levels.
* Visual ADX: Quickly grasp trend strength and market conditions.
* Highly customizable: Tailor to your specific needs.
This indicator offers a comprehensive toolkit for trend and volatility analysis, integrating moving averages, Bollinger Bands, and ADX.
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.
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.
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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.
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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.
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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.
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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.
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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.
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! 🚀
MSTR Bitcoin Holdings Overlay (MSTR BTC Treasury)This TradingView overlay displays MicroStrategy's (MSTR) Bitcoin holdings as a simple line chart on a separate axis. The data used in this script is based on publicly available information about MSTR's Bitcoin acquisitions up to January 2, 2025.
Key Points:
- All data points (timestamps and Bitcoin holdings) included in this script represent actual historical records available up to January 2, 2025.
- No future projections or speculative estimates are included.
This script is static and does not fetch or update data dynamically. If there are new Bitcoin acquisitions or updates after January 2, 2025, they will not appear on the chart unless manually added.
Transparency and Accuracy:
- The script uses an array-based structure to map exact timestamps to corresponding Bitcoin holdings.
Each timestamp aligns with known dates when MSTR disclosed its Bitcoin purchases.
DCA Strategy with HedgingThis strategy implements a dynamic hedging system with Dollar-Cost Averaging (DCA) based on the 34 EMA. It can hold simultaneous long and short positions, making it suitable for ranging and trending markets.
Key Features:
Uses 34 EMA as baseline indicator
Implements hedging with simultaneous long/short positions
Dynamic DCA for position management
Automatic take-profit adjustments
Entry confirmation using 3-candle rule
How it Works
Long Entries:
Opens when price closes above 34 EMA for 3 candles
Adds positions every 0.1% price drop
Takes profit at 0.05% above average entry
Short Entries:
Opens when price closes below 34 EMA for 3 candles
Adds positions every 0.1% price rise
Takes profit at 0.05% below average entry
Settings
EMA Length: Controls the EMA period (default: 34)
DCA Interval: Price movement needed for additional entries (default: 0.1%)
Take Profit: Profit target from average entry (default: 0.05%)
Initial Position: Starting position size (default: 1.0)
Indicators
L: Long Entry
DL: Long DCA
S: Short Entry
DS: Short DCA
LTP: Long Take Profit
STP: Short Take Profit
Alerts
Compatible with all standard TradingView alerts:
Position Opens (Long/Short)
DCA Entries
Take Profit Hits
Note: This strategy works best on lower timeframes with high liquidity pairs. Adjust parameters based on asset volatility.
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.
Wyckoff Springs Sell Side Indicator
Description:
This script identifies potential Wyckoff Spring and Sell Test setups, critical patterns in the Wyckoff Method of market analysis. Springs signal bullish reversals after a price dip below support levels, followed by a quick recovery, while Sell Tests highlight bearish reversals following a rally above resistance, then a sharp return.
Features:
Automatic detection of Spring and Sell Test conditions.
Customizable parameters for sensitivity and timeframe.
Visual alerts and labels for easy spotting.
Ideal for traders applying Wyckoff principles in their strategies.
Disclaimer:
This script is for educational and informational purposes only and should not be considered financial advice. Past performance does not guarantee future results. Always conduct your own research and consult with a qualified financial advisor before making trading decisions. Use at your own risk.
RSI + MA Trend StrategyUses a simple moving average to identify trend direction.
Uses RSI (Relative Strength Index) for overbought/oversold or momentum confirmation.
Enters long when price is above its MA (indicating bullish trend) and RSI is above a threshold (e.g., 55).
Enters short when price is below its MA and RSI is below a threshold (e.g., 45).
Previous 4-Hour High/Low Indicator Name: Previous 4-Hour High/Low Lines
Description:
This indicator highlights the high and low levels of the previous candle from a user-defined timeframe (default: 4 hours) and extends these levels both to the left and right across the chart. It allows traders to visualize key support and resistance levels from higher timeframes while analyzing lower timeframe charts.
Key Features:
• Customizable Timeframe: Select any timeframe (e.g., 4-hour, daily) to track the high and low of the previous candle.
• Dynamic Updates: The high and low levels update automatically with each new candle.
• Extended Levels: Lines extend both left and right, providing a clear reference for past and future price action.
• Overlay on Chart: The indicator works seamlessly on any timeframe, making it ideal for multi-timeframe analysis.
Use Case:
This tool is perfect for traders who rely on higher timeframe levels for setting entry/exit points, identifying potential breakout zones, or managing risk. By visualizing these levels directly on lower timeframe charts, traders can make informed decisions without switching between charts.
Trend-Following Strategytrend strat that does chatgpt things for everyone including ema ocos and sp500
Venta's DikFat Spread Visualizer & Dynamic Options Chain
**Venta's DikFat Spread Visualizer and Options Chain Strike Scanner** is a powerful trading tool designed to give users an immediate view of the nearest options strikes relative to the current price of the underlying asset. This script dynamically displays a selected number of call and put options strikes from the **options chain**, visualizing them directly on the chart for better decision-making.
By default, the script shows options strikes for the current chart’s price, but users have the flexibility to extend the view to include strikes on the opposite side of the market. The available options allow you to show either 3, 6, or 9 strikes on either side of the current price level.
This tool is essential for options traders who want to track strike prices in relation to the underlying asset's price movements. It provides key visual clues such as strike price distributions, volatility, and potential areas of market basing—all in a customizable and user-friendly interface.
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█ CONCEPTS
This script pulls real-time **options strikes** directly from the **options chain**, providing traders with the ability to see call and put strikes as dynamic price markers on their chart. The concept revolves around understanding the proximity and distribution of strikes based on the current price and market conditions.
Key Features
**Dynamic Options Strike Display**: The script automatically identifies and displays the options strikes closest to the current market price of the underlying asset.
**Customizable Strike Range**: Choose between 3, 6, or 9 strikes on either side of the current price, giving flexibility in visualizing different strike ranges.
**Current Chart Focused by Default**: When added to the chart, the script focuses on the strikes closest to the current price. However, users can opt to include strikes on the opposite side of the market for a broader view.
**Instant Market Context**: The displayed
strikes offer a snapshot of the options market and how the current price relates to potential option expiration levels, helping traders understand key zones.
**Visual Clues on Spreads & Volatility**: This script not only displays the strikes but also provides instant visual clues that reflect the volatility and spread of the options market.
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█ HOW IT WORKS
The script operates by accessing the **options chain** for the underlying asset, identifying the nearest call and put strikes, and plotting them as visual markers on the chart. This real-time strike data is dynamic, adjusting automatically as the market price moves.
Strike Calculation
The script uses the current price of the underlying asset as a base point and calculates the nearby **options strikes** from the **options chain**.
Depending on the user's settings, the script will plot up to 9 strikes on either side of the price level.
This calculation is performed using live market data, making sure the plotted strikes always reflect the most current market conditions.
Visual Clues
**Spreads**: The space between the plotted call and put options strikes provides immediate insights into the current bid/ask spreads. If the spread between strike prices is wide, it suggests increased volatility or a higher level of uncertainty in the market. Conversely, narrow spreads often indicate market stability or a lack of price movement.
**Market Basing**: When options strikes form a concentrated group near a certain price level, it can indicate that the market is building up or basing at a key level. This might signal the potential for a breakout or a reversal.
**Volatility Insights**: Wider gaps between strikes, particularly on the call side versus the put side (or vice versa), can indicate an imbalance in options trading activity, often a reflection of higher volatility expectations. This visual clue can help traders assess when the market is pricing in significant movements.
Customization and User Settings
**Number of Strikes**: The number of options strikes shown is fully customizable, allowing users to display 3, 6, or 9 strikes on either side.
**Show Opposite Strikes**: By default, the script shows strikes on the current side of the market, but users can enable the option to show strikes on the opposite side to gain a more complete view of the market's options landscape.
**Strike Colors & Width**: Customize the visual appearance of the plotted strikes by adjusting the color and line width for better clarity and chart aesthetics.
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█ POTENTIAL USE CASES
This indicator is especially valuable for **options traders**, **market analysts**, and anyone interested in gaining insights into the underlying options market. Here are some of the key use cases:
**Options Traders**: Quickly identify the nearest strike prices and understand the risk/reward potential for options positions. The ability to customize the number of strikes shown allows traders to focus on the most relevant price levels.
**Volatility Monitoring**: Use the visual clues from the spread between strike prices to assess the level of volatility in the options market. A wider spread suggests that options traders are expecting more significant price moves, while a narrow spread indicates less expected movement.
**Support and Resistance Identification**: The clustering of strike prices on one side of the market can indicate a potential support or resistance level. By monitoring these levels, traders can get a sense of where the market may reverse or consolidate.
**Market Sentiment Analysis**: A large concentration of call strikes above the current price level, or put strikes below, can be an indication of market sentiment, such as whether traders are generally bullish or bearish.
**Risk Management**: By tracking nearby options strikes, traders can adjust their strategies to minimize risk, especially when market price levels approach significant strike points.
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█ FEATURES
**Real-Time Data**: The script pulls data from the **options chain**, ensuring that the plotted strikes are always up-to-date with the current market price.
**User-Friendly Interface**: Clear and customizable inputs allow users to easily adjust the number of strikes displayed and control visual settings such as colors and line widths.
**Visual Strike Indicators**: Instantly spot volatility, market basing, and spread imbalances through visual clues from the plotted strikes, enhancing your market analysis.
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█ LIMITATIONS
**Accuracy Depends on Market Data**: This indicator relies on the available **options chain** data. While the data is updated in real-time, its accuracy may depend on the liquidity and availability of options contracts in the market.
**Not Suitable for Non-Options Traders**: If you don’t trade options, the relevance of this indicator may be limited as it is designed specifically to provide insight into the options market.
**Data Delays**: In fast-moving markets, there may be a slight delay in the updating of strike prices, depending on the data feed.
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█ HOW TO USE
**Load the Script**: Add the **Venta's DikFat Spread Visualizer and Options Chain Strike Scanner** script to your TradingView chart.
**Adjust Settings**: Use the input options to select the number of strikes you want to display (3, 6, or 9). You can also choose whether to display only the current chart’s strikes or include strikes from the opposite side.
**Interpret the Strikes**: Look at the plotted strikes to gain insights into where the market is currently pricing options and where major strike prices are located. Pay attention to the spreads, concentrations, and volatility signals.
**Monitor the Market**: As the market moves, watch how the strikes shift and cluster, providing you with real-time information about market sentiment and potential volatility.
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█ THANKS
We would like to extend our gratitude to the PineCoders community for their ongoing support and contributions to the TradingView Pine Script ecosystem. Special thanks to The Options Team.
MA clouds by ®AlpachinoI created this indicator for generally improved trend determination using a fast-responding EMA and a slower-responding RMA.
The indicator has two modes.
Single cloud:
EMA(high-low)
Double cloud:
EMA/RMA(high-high)
EMA/RMA(low low)
Usage:
Sell: Price action below both clouds.
Buy: Price action above both clouds.
Clouds together -> strong trend.
Clouds separated -> range/weak trend.
Suitable for filtering signals from other indicators.
FIB EXT Levels for Todays This indicator would plot most important levels based on today's and yesterdays candles .It would plot 15 min second candle fib levels and also the same for 1st 3rd , 5min levels aswell .
NCM Triple Supertrend Strategy with Initial Coincidence Diamonds💎NCM Triple Supertrend Strategy with Initial Coincidence Diamonds💎
🔍Overview: This script implements a powerful Triple Supertrend Strategy, combining three distinct Supertrend indicators to identify and confirm market trends with precision. The strategy is enhanced with Initial Coincidence Diamonds, which highlight the first instance when all three Supertrend indicators align in the same direction, signaling a strong buy or sell opportunity. The idea behind this script is to keep the chart clean, with simple markers on the chart.
🛠️Default Settings:
a) 21, 1: Captures longer-term trends, reducing market noise and providing stability in analysis.
b) 14, 2: Balances medium-term sensitivity and accuracy for spotting sustained trends.
c) 7, 3: Highly sensitive to short-term movements, perfect for early trend detection or scalping strategies.
🟢🔴Why These Default Settings Work Well:
The default values of 21, 14, and 7 for ATR Lengths and 1, 2, and 3 for Multipliers strike a balance between capturing long-term trends, identifying medium-term continuations, and reacting to short-term changes. This combination ensures a well-rounded strategy, offering insight into both stability and momentum, making it ideal for traders across various markets and timeframes.
📈 Key Features:
✨Triple Supertrend Layers:
1. Configurable ATR Lengths and Multipliers for three Supertrend calculations.
Provides flexibility by user inputs to adapt to different market conditions.
🔗Trend Alignment Detection:
1. Automatically identifies when all three Supertrends align in an uptrend (green) or downtrend (red).
2. The alignment is marked with green diamonds below bars for bullish trends and red diamonds above bars for bearish trends.
🎨 Customizable and Visual-Friendly:
Color-coded trend lines for easy visualization of the market's current state.
Adjustable input parameters to tailor the strategy to your trading style.
🌟 How to Use:
1. Use the Supertrend lines as dynamic support and resistance levels.
2. Look for Initial Coincidence Diamonds to identify potential trend reversals or strong breakout opportunities.
3. Combine with your preferred risk management strategy for optimal results.
This script is very good for traders looking for a robust trend-following strategy that eliminates noise and focuses on confirmed market movements. Whether you're trading Forex, Stocks, or Crypto, this indicator will help you stay ahead in trending markets!
You said:
Can you add to it that the default settings are 21,1; 14, 2 and 7, 3 - also explaining why these are good default settings
ChatGPT said:
Updated Description for Publishing:
NCM Triple Supertrend Strategy with Initial Coincidence Diamonds
This script implements a powerful Triple Supertrend Strategy, combining three distinct Supertrend indicators to identify and confirm market trends with precision. The strategy is enhanced with Initial Coincidence Diamonds, which highlight the first instance when all three Supertrend indicators align in the same direction, signaling a strong buy or sell opportunity.
Key Features:
Triple Supertrend Layers:
Configurable ATR Lengths and Multipliers for three Supertrend calculations.
Default Settings:
21, 1: Captures longer-term trends, reducing market noise and providing stability in analysis.
14, 2: Balances medium-term sensitivity and accuracy for spotting sustained trends.
7, 3: Highly sensitive to short-term movements, perfect for early trend detection or scalping strategies.
These settings provide a comprehensive view of the market by combining short, medium, and long-term trend signals.
Trend Alignment Detection:
Automatically identifies when all three Supertrends align in an uptrend (green) or downtrend (red).
The alignment is marked with green diamonds below bars for bullish trends and red diamonds above bars for bearish trends.
Customizable and Visual-Friendly:
Color-coded trend lines for easy visualization of the market's current state.
Adjustable input parameters to tailor the strategy to your trading style.
Why These Default Settings Work Well:
The default values of 21, 14, and 7 for ATR Lengths and 1, 2, and 3 for Multipliers strike a balance between capturing long-term trends, identifying medium-term continuations, and reacting to short-term changes. This combination ensures a well-rounded strategy, offering insight into both stability and momentum, making it ideal for traders across various markets and timeframes.
Quarter Point Theory with Trend Breaks### **Quarter Point Theory with Trend Breaks Indicator**
The **Quarter Point Theory with Trend Breaks** indicator is a technical analysis tool designed to identify key price levels and trend reversals in financial markets. It combines the principles of **Quarter Point Theory**—a concept that highlights the significance of prices at rounded fractional levels of an asset—with trend break detection to provide actionable trading insights.
#### **Key Features:**
1. **Quarter Point Levels:**
- Automatically plots quarter-point levels on the chart (e.g., 0.25, 0.50, 0.75, and 1.00 levels relative to significant price ranges).
- Highlights these levels as areas of psychological importance, where price action is likely to consolidate, reverse, or gain momentum.
2. **Trend Break Detection:**
- Identifies changes in market direction by detecting breaks in prevailing trends.
- Utilizes moving averages, support/resistance lines, or price patterns to signal potential reversals.
3. **Dynamic Visual Cues:**
- Color-coded lines or zones to differentiate between support (green), resistance (red), and neutral zones.
- Alerts or markers when price approaches or breaks through quarter-point levels or trend lines.
4. **Multi-Timeframe Analysis:**
- Offers the ability to analyze quarter-point levels and trend breaks across different timeframes for a comprehensive market view.
5. **Customizable Parameters:**
- Allows traders to adjust the sensitivity of trend break detection and the precision of quarter-point level plotting based on their strategy and asset volatility.
#### **Use Cases:**
- **Swing Trading:** Identify optimal entry and exit points by combining quarter-point levels with trend reversal signals.
- **Day Trading:** Utilize intraday quarter-point levels and quick trend changes for scalping opportunities.
- **Long-Term Investing:** Spot significant price milestones that could indicate major turning points in an asset’s trajectory.
#### **Advantages:**
- Simplifies the complexity of market analysis by focusing on universally significant price levels and trends.
- Enhances decision-making by integrating two powerful market principles into a single indicator.
- Provides a structured framework for risk management by identifying areas where price is likely to react.
The **Quarter Point Theory with Trend Breaks Indicator** is a versatile tool suitable for traders and investors across various markets, including stocks, forex, commodities, and cryptocurrencies. By blending psychology-based levels with technical trend analysis, it empowers users to make well-informed trading decisions.