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.
Трендовый анализ
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.
MAK TrendTrend Following Indicator, Generates Entry, Stop Loss, Targets.
After signal generation, the Above entry price is strong, the below Entry price needs to be careful.
LazyCrypto V.1 Exp: 1 Feb 2025Hi
I write a script and this strategy is specific only for trading at BINANCE:1000PEPEUSDT.P at time frame 1 Minutes, and also i added for lock so this strategy can't be use after 1 Feb 2025, i will update the result of trading everyday on here, this order use pyramid max 5, so you need to setting it manually when you add this strategy
SAI SUBHASH BITRA High-Low Reversal with OffsetThis strategy identifies potential reversal points based on the highest
high and lowest low within a specified lookback period. An offset is added to adjust entry thresholds dynamically.
Disclaimer: Past performance does not guarantee future results.
Author: Sai Subhash Bitra
[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.
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! 🚀
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.
Enhanced Trading StrategyFeatures of the Script
RSI Analysis:
Highlights overbought and oversold levels with visual and alert-based feedback.
Integrates as part of the trade signal generation.
Moving Averages (EMA):
Plots short and long EMA for trend confirmation (golden and death cross strategies).
MACD:
Uses MACD histogram and crossovers to confirm momentum.
Fibonacci Retracements:
Dynamically calculates Fibonacci regression levels for support and resistance.
Volume:
Displays volume for confirmation of breakouts or trend strength.
Alerts:
Triggers buy/sell alerts based on conditions.
Alerts can be sent to your email or phone using TradingView's alert system.
SZN TrendLocal, daily, weekly Trend. Courtesy of Docxbt.
Local trend is 13, 21, 34 EMA.
Daily Trend is 4H 100 and 200 EMA.
Weekly Trend is 1D 100 and 200EMA.
WMA Killer Ratio Analysis | JeffreyTimmermansWMA Killer Ratio Analysis
The WMA Killer Ratio Analysis is a highly responsive trend-following indicator designed to deliver quick and actionable insights on the ETHBTC ratio. By utilizing advanced smoothing methods and normalized thresholds, this tool efficiently identifies market trends. Let’s dive into the details:
Core Mechanics
1. Smoothing with Standard Deviations
The WMA Killer Ratio Analysis begins by smoothing source price data using standard deviations, which measure the typical variance in price movements. This creates dynamic deviation levels:
Upper Deviation: Marks the high boundary, indicating potential overbought conditions.
Lower Deviation: Marks the low boundary, signaling potential oversold conditions.
These levels are integrated with the Weighted Moving Average (WMA), filtering out market noise and honing in on significant price shifts.
2. Weighted WMA Bands
The WMA is further refined with dynamic weighting:
Upper Weight: Expands the WMA, creating an Upper Band to capture extreme price highs.
Lower Weight: Compresses the WMA, forming a Lower Band to reflect price lows.
This adaptive dual-weighting system highlights potential areas for trend reversals or continuations with precision.
3. Normalized WMA (NWMA) Analysis
The Normalized WMA adds a deeper layer of trend evaluation: It calculates the percentage change between the source price and its smoothed average. Positive NWMA values suggest overbought conditions, while negative NWMA values point to oversold conditions.
Traders can customize long (buy) and short (sell) thresholds to align signal sensitivity with their strategy and market conditions.
Signal Logic
Buy (Long) Signals: Triggered when the price remains above the lower deviation level and the NWMA crosses above the long threshold. Indicates a bullish trend and potential upward momentum.
Sell (Short) Signals: Triggered when the price dips below the upper deviation level and the NWMA falls beneath the short threshold. Suggests bearish momentum and a potential downward trend.
Note: The WMA Killer Ratio Analysis is most effective when paired with other forms of analysis, such as volume, higher time-frame trends, or fundamental data.
Visual Enhancements
The WMA Killer Ratio Analysis emphasizes usability with clear and dynamic plotting features:
1. Color-Coded Trend Indicators: The indicator changes color dynamically to represent trend direction. Users can customize colors to suit specific trading pairs (e.g., ETHBTC, SOLBTC).
2. Threshold Markers: Dashed horizontal lines represent long and short thresholds, giving traders a visual reference for signal levels.
3. Deviation Bands with Fill Areas: Upper and Lower Bands are plotted around the WMA. Shaded regions highlight deviation zones, making trend boundaries easier to spot.
4. Signal Arrows and Bar Coloring: Arrows or triangles appear on the chart to mark potential buy (upward) or sell (downward) points. Candlesticks are color-coded based on the prevailing trend, allowing traders to interpret the market direction at a glance.
Customization Options
Adjustable Thresholds: Tailor the sensitivity of long and short signals to your strategy.
Dynamic Weighting: Modify upper and lower band weights to adapt the WMA to varying market conditions.
Source Selection: Choose the preferred input for price data smoothing, such as closing price or an average (hl2).
The WMA Killer Ratio Analysis combines rigorous mathematical analysis with intuitive visual features, providing traders with a reliable way to identify trends and make data-driven decisions. While it excels at detecting key market shifts, its effectiveness increases when integrated into a broader trading strategy.
-Jeffrey
SZN TrendLocal, daily, weekly Trend. Courtesy of Docxbt.
Local trend is 13, 21, 34 EMA.
Daily Trend is 4H 100 and 200 EMA.
Weekly Trend is 1D 100 and 200EMA.
NEURAL NETWORK ULTRA STRATEGYOverview
Looking for a multi-layered approach to market momentum that balances powerful analytics with practical usability? Neural Network Ultra Strategy merges a variety of time-tested indicators into one cohesive scoring system—giving you clear, data-driven entry and exit signals. Whether you’re a seasoned trader or just starting out, this script aims to deliver intuitive customization and risk management from top to bottom.
Inspiration & Credit
Foundational Code:
Inspired by an older, open-source script from an unknown author (now inactive). We honor their groundwork while building a fresh, highly flexible system.
Community Influence:
We rely on standard PineScript functions (EMA, RSI, MACD, etc.) and feedback from the broader TradingView community.
Monthly Table Component:
The monthly performance table portion is based on scripts by QuantNomad and ZenAndTheArtOfTrading . Below is a snippet reference from those creators:
Key Features
Multi-Indicator Score Aggregation:
EMA, RSI, MACD, Stochastic, Bollinger Bands, OBV and more are tracked simultaneously.
Each indicator can contribute bullish/bearish “points.” When a threshold is reached, a potential signal fires.
Trend Verification (EMA 200):
Integrates a long-term EMA filter to ensure trades align with the broader market direction (optional toggle).
Helps filter out low-probability setups in choppy markets.
Volatility & Volume Layers:
Built-in ATR logic, Bollinger touches, and volume-based checks (CMF, OBV) to confirm if momentum truly has “fuel.”
Encourages entries only when volatility or volume expansions show robust follow-through.
Dynamic Alerts & PineConnector Integration:
Optionally trigger real-time alerts for buy/sell signals, trailing stop hits, break-even moves, etc.
(If desired) connect with third-party trade execution tools.
Extensive Customization:
Each indicator’s lookback length, weight, and thresholds are adjustable.
Beginners can keep default settings; advanced users can fine-tune every layer of logic.
Advanced Risk Management:
Stop-Loss & Break-Even: Set fixed or ATR-based stops, plus automatic break-even triggers if the market moves in your favor.
Trailing Stop Options: Switch on a trailing stop to lock in profit if momentum continues.
Session/Time Exits: For those who prefer not to hold trades overnight, the script includes optional session-based closing.
Why it matters: Risk control can sometimes be more critical than the perfect entry. Our integrated approach aims to shield you from excessive drawdowns while letting winning trades breathe.
Beginner-Friendly Customization:
Straightforward Inputs: Clear tooltips describing each indicator’s role (e.g., RSI oversold threshold, MACD cross weighting).
Scoring Weights: Adjust how strongly each indicator impacts your final buy/sell signal.
Simple Visual Aids: Transparent color fills, trend lines, and optional table outputs keep new users oriented.
Tip: Start with minimal changes. Once you’re comfortable, tweak each component’s length or weighting to suit your favorite market/timeframe.
Enhanced Strategy Tester Integration
Performance Dashboard:
TradingView’s built-in strategy engine reveals net profit, win rate, max drawdown, and more—right on your chart.
Monthly Performance Table:
A specially designed table (optional) shows how the script performed over multiple months or years.
Ideal for checking historical consistency and volatility.
Realistic Backtesting Options:
Enable realistic commission and slippage settings.
Specify realistic risk-per-trade, ensuring backtest data mirrors real-world conditions as closely as possible.
Outcome: A robust toolkit for traders who want objective, data-backed results to refine their approach.
Important Disclaimers:
Not Financial Advice: This script is intended for educational purposes; do your own due diligence.
No Guaranteed Results: Markets are unpredictable. Historical data does not guarantee future performance.
Use at Your Own Risk: You retain full responsibility for any trade decisions made using this tool.
Ensure “Use standard OHLC” if testing on a Heikin Ashi chart.
S/R Retest [TradeGodz]In trading, support is a price level where a downtrend is expected to pause due to a concentration of buyers. Resistance is the opposite, a price level where an uptrend is expected to pause due to a concentration of sellers. To 'test' support or resistance means that the price approaches these levels. A 'retest' occurs when the price moves away from the level (either bouncing off it or breaking through), then returns to that level again. These tests and retests can provide trading opportunities as they often result in a bounce off the level or a breakout through the level.
Adaptive EMA with Filtered Signals (Free Version)Adaptive EMA with Filtered Signals: A Professional Trading Tool
The Adaptive EMA with Filtered Signals indicator is designed to provide traders with reliable, dynamic buy and sell signals, reducing the impact of false signals. By combining the flexibility of an adaptive EMA with powerful filtering mechanisms like RSI, trend confirmation, and volatility checks, this indicator helps you make more informed decisions in various market conditions.
Benefits for Traders:
1. Enhanced Signal Accuracy:
The adaptive EMA adjusts to market conditions, providing a more responsive and smoother trend-following approach. The added RSI filter ensures signals are only generated when the market is neither overbought nor oversold, improving the quality of trade entries and exits.
2. Trend Confirmation:
Buy signals are triggered in an uptrend (when the price is above the comparison EMA), and sell signals are triggered in a downtrend (when the price is below the comparison EMA). This trend confirmation minimizes the risk of entering trades against the prevailing market direction.
3. Customizable Parameters:
Traders can adjust key parameters such as the Comparison EMA Length, RSI Thresholds, and Smoothing Factor to suit different market environments. Whether you prefer faster signals or smoother trends, the flexibility to tweak these settings ensures the indicator aligns with your trading style.
4. Visual Clarity:
Clear buy (green) and sell (red) arrows are plotted on the chart, making it easy to spot potential trade opportunities without cluttering the chart. This simplicity allows for quick decision-making in fast-moving markets.
5. Risk Mitigation:
By using multiple filters—RSI, trend confirmation, and volatility checks—this indicator reduces the chances of trading on weak or unreliable signals, helping to avoid unnecessary risks and improving overall trade performance.
6. Enhanced Signal Accuracy:
The adaptive EMA adjusts to market conditions, providing a more responsive and smoother trend-following approach. The added RSI filter ensures signals are only generated when the market is neither overbought nor oversold, improving the quality of trade entries and exits.
Key Features:
1. Adaptive EMA Calculation:
The adaptive EMA adjusts its smoothing factor based on the RSI, allowing it to react dynamically to changing market conditions. It is derived from a short EMA and a long EMA, with the smoothing factor being influenced by the RSI's relative position.
Parameters:
Short EMA Length (emaShortLength): Defines the length of the short-term EMA used for adaptive calculations. A smaller value will make the adaptive EMA more sensitive to price movements.
Long EMA Length (emaLongLength): Defines the length of the long-term EMA. This influences the overall trend-following nature of the adaptive EMA.
Smoothing Factor (smoothingFactor): Adjusts the smoothness of the adaptive EMA. A higher value results in a smoother curve, while a lower value makes it more responsive to recent price changes.
2. Comparison EMA:
A stable EMA with a fixed length used to track larger trends and act as a reference point for generating buy and sell signals.
Parameter:
Comparison EMA Length (comparisonEmaLength): Determines the length of the comparison EMA. A longer length will track broader trends, while a shorter length makes the comparison line more sensitive to price changes.
3. RSI Filter:
The Relative Strength Index (RSI) is used to ensure signals are only generated when the market is not overbought or oversold.
Parameters:
RSI Length (rsiLength): Determines the period for calculating the RSI. A longer length makes the RSI smoother and less sensitive to short-term price movements.
RSI Overbought (rsiOverbought): The upper threshold for the RSI. Buy signals will only be triggered if the RSI is below this level, preventing signals in overbought conditions.
RSI Oversold (rsiOversold): The lower threshold for the RSI. Sell signals will only be triggered if the RSI is above this level, avoiding signals in oversold conditions.
4. Trend Confirmation:
Ensures buy signals only occur in an uptrend (when the price is above the comparison EMA) and sell signals only occur in a downtrend (when the price is below the comparison EMA).
Parameters:
Trend Filter for Buy (trendFilterBuy): Ensures buy signals are only triggered when the price is above the comparison EMA, confirming a bullish trend.
Trend Filter for Sell (trendFilterSell): Ensures sell signals are only triggered when the price is below the comparison EMA, confirming a bearish trend.
5. Signal Plotting:
Buy Signals: Displayed with a green arrow below the price bar when the adaptive EMA crosses above the comparison EMA, with all filters confirming a buy.
Sell Signals: Displayed with a red arrow above the price bar when the adaptive EMA crosses below the comparison EMA, with all filters confirming a sell.
Usage Recommendations:
Experiment with the Comparison EMA Length: Try different lengths (e.g., 100, 150, 200) to adapt to different market conditions. A longer comparison EMA will smooth out price fluctuations, while a shorter one will react faster.
Adjust the RSI Thresholds: If you want to avoid buying during overbought or selling during oversold conditions, you can adjust the RSI overbought and oversold thresholds. A more aggressive approach may involve using a narrower range.
Fine-Tune the Smoothing Factor: If you prefer a smoother indicator, increase the smoothing factor. For more responsive behavior, decrease the smoothing factor.
Why Choose This Indicator? This indicator combines the best of adaptive techniques and filtering mechanisms, offering a reliable tool for both novice and experienced traders. It adapts to changing market conditions, helping you stay ahead of trends while minimizing false signals. Whether you're a swing trader or day trader, the Adaptive EMA with Filtered Signals provides the clarity and precision you need to navigate volatile markets with confidence.
Day's Open Line By Ask Dinesh Kumar (ADK)Simple Indicator to Show Day's Open Price Level as Line.
Timeframe independent.
it is Just for Intraday Analysis.
I hope you Like it
Prime Trading TrendFlow IndikatorPrime Trading TrendFlow Indikator – Die perfekte Unterstützung für die TrendFlow-Strategie (Beta-Version)
Der Prime Trading TrendFlow Indikator wurde speziell für Scalper entwickelt, die im Markt des Britischen Pfunds gegenüber dem Japanischen Yen (GBP/JPY) aktiv sind. Egal, ob du Anfänger oder fortgeschrittener Trader bist – dieser Indikator reduziert deine Analysezeit erheblich und übernimmt bis zu 80% der Marktanalyse für dich.
Funktionen:
Vortages-Hoch- und Tief-Zonen: Identifiziere wichtige Marktbereiche aus dem vorherigen Handelstag mit einem Blick.
Psychologische Level: Automatische Markierung von Preisniveaus, die von vielen Marktteilnehmern beachtet werden.
Tagesvolumenprofil: Zeigt dir die aktuelle Tagesvolumenzone für präzisere Entscheidungen.
Individuelle Anpassungen: Passe Farben, Zonen und sichtbare Features flexibel nach deinen Vorlieben an.
Ein- und Ausschaltoptionen: Schalte spezifische Indikator-Features wie das Volumenprofil oder die psychologischen Level nach Bedarf an oder aus.
Warum dieser Indikator?
Der Prime Trading TrendFlow Indikator wurde gezielt für die TrendFlow-Strategie entwickelt, um deine Analyse zu vereinfachen und eine schnelle Umsetzung zu ermöglichen. Mit diesem Tool wird die Identifikation relevanter Marktbereiche intuitiver und effizienter, was dir hilft, profitabler zu traden.
Besonderheiten:
Beta-Version: Aktuell in der Beta-Phase, mit zukünftigen Updates, die das gesamte Volumen integrieren werden und weiteren Features.
Plug-and-Play: Einfache Anwendung ohne komplizierte Einrichtung – ideal für eine schnelle Integration in deinen Workflow.
Exklusiv für Prime Trading Mitglieder: Der Indikator ist ausschließlich für aktive Pro- und VIP-Mitglieder verfügbar.
Optimale Nutzung:
Empfohlener Markt: GBP/JPY
Empfohlene Strategie: Scalping mit der TrendFlow-Strategie
Zeiteinheiten: Hauptsächlich auf M5 und M1 ausgelegt
Mit dem Prime Trading TrendFlow Indikator erhältst du ein Tool, das nicht nur deine Analysezeit reduziert, sondern dir auch einen entscheidenden Vorteil im Markt verschafft.
3D/5D Divergence ScreenerScreens for bullish and bearish divergence on 3D and 5D charts to anticipate trend changes, increasing the likelihood of finding local bottoms and local tops
3D/5D Divergence ScreenerScreens for bullish and bearish divergence on 3D and 5D charts to anticipate trend changes, increasing the likelihood of finding local bottoms and local tops
Buy & Sell Signal with SMA/EMA & ATRBUY & SELL Signals
Works in all time frames
Input parameters
SMA 10 period
RSI 15 period, RSI EMA 15 period
ATR 1 period with EMA 20 period of ATR1
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.
Adaptive EMA with Filtered Signals (Free Version)
Adaptive EMA with Filtered Signals: A Professional Trading Tool
The Adaptive EMA with Filtered Signals indicator is designed to provide traders with reliable, dynamic buy and sell signals, reducing the impact of false signals. By combining the flexibility of an adaptive EMA with powerful filtering mechanisms like RSI, trend confirmation, and volatility checks, this indicator helps you make more informed decisions in various market conditions.
Benefits for Traders:
1. Enhanced Signal Accuracy:
The adaptive EMA adjusts to market conditions, providing a more responsive and smoother trend-following approach. The added RSI filter ensures signals are only generated when the market is neither overbought nor oversold, improving the quality of trade entries and exits.
2. Trend Confirmation:
Buy signals are triggered in an uptrend (when the price is above the comparison EMA), and sell signals are triggered in a downtrend (when the price is below the comparison EMA). This trend confirmation minimizes the risk of entering trades against the prevailing market direction.
3. Customizable Parameters:
Traders can adjust key parameters such as the Comparison EMA Length, RSI Thresholds, and Smoothing Factor to suit different market environments. Whether you prefer faster signals or smoother trends, the flexibility to tweak these settings ensures the indicator aligns with your trading style.
4. Visual Clarity:
Clear buy (green) and sell (red) arrows are plotted on the chart, making it easy to spot potential trade opportunities without cluttering the chart. This simplicity allows for quick decision-making in fast-moving markets.
5. Risk Mitigation:
By using multiple filters—RSI, trend confirmation, and volatility checks—this indicator reduces the chances of trading on weak or unreliable signals, helping to avoid unnecessary risks and improving overall trade performance.
6. Enhanced Signal Accuracy:
The adaptive EMA adjusts to market conditions, providing a more responsive and smoother trend-following approach. The added RSI filter ensures signals are only generated when the market is neither overbought nor oversold, improving the quality of trade entries and exits.
Key Features:
1. Adaptive EMA Calculation:
The adaptive EMA adjusts its smoothing factor based on the RSI, allowing it to react dynamically to changing market conditions. It is derived from a short EMA and a long EMA, with the smoothing factor being influenced by the RSI's relative position.
Parameters:
Short EMA Length (emaShortLength): Defines the length of the short-term EMA used for adaptive calculations. A smaller value will make the adaptive EMA more sensitive to price movements.
Long EMA Length (emaLongLength): Defines the length of the long-term EMA. This influences the overall trend-following nature of the adaptive EMA.
Smoothing Factor (smoothingFactor): Adjusts the smoothness of the adaptive EMA. A higher value results in a smoother curve, while a lower value makes it more responsive to recent price changes.
2. Comparison EMA:
A stable EMA with a fixed length used to track larger trends and act as a reference point for generating buy and sell signals.
Parameter:
Comparison EMA Length (comparisonEmaLength): Determines the length of the comparison EMA. A longer length will track broader trends, while a shorter length makes the comparison line more sensitive to price changes.
3. RSI Filter:
The Relative Strength Index (RSI) is used to ensure signals are only generated when the market is not overbought or oversold.
Parameters:
RSI Length (rsiLength): Determines the period for calculating the RSI. A longer length makes the RSI smoother and less sensitive to short-term price movements.
RSI Overbought (rsiOverbought): The upper threshold for the RSI. Buy signals will only be triggered if the RSI is below this level, preventing signals in overbought conditions.
RSI Oversold (rsiOversold): The lower threshold for the RSI. Sell signals will only be triggered if the RSI is above this level, avoiding signals in oversold conditions.
4. Trend Confirmation:
Ensures buy signals only occur in an uptrend (when the price is above the comparison EMA) and sell signals only occur in a downtrend (when the price is below the comparison EMA).
Parameters:
Trend Filter for Buy (trendFilterBuy): Ensures buy signals are only triggered when the price is above the comparison EMA, confirming a bullish trend.
Trend Filter for Sell (trendFilterSell): Ensures sell signals are only triggered when the price is below the comparison EMA, confirming a bearish trend.
5. Signal Plotting:
Buy Signals: Displayed with a green arrow below the price bar when the adaptive EMA crosses above the comparison EMA, with all filters confirming a buy.
Sell Signals: Displayed with a red arrow above the price bar when the adaptive EMA crosses below the comparison EMA, with all filters confirming a sell.
Usage Recommendations:
Experiment with the Comparison EMA Length: Try different lengths (e.g., 100, 150, 200) to adapt to different market conditions. A longer comparison EMA will smooth out price fluctuations, while a shorter one will react faster.
Adjust the RSI Thresholds: If you want to avoid buying during overbought or selling during oversold conditions, you can adjust the RSI overbought and oversold thresholds. A more aggressive approach may involve using a narrower range.
Fine-Tune the Smoothing Factor: If you prefer a smoother indicator, increase the smoothing factor. For more responsive behavior, decrease the smoothing factor.
Why Choose This Indicator? This indicator combines the best of adaptive techniques and filtering mechanisms, offering a reliable tool for both novice and experienced traders. It adapts to changing market conditions, helping you stay ahead of trends while minimizing false signals. Whether you're a swing trader or day trader, the Adaptive EMA with Filtered Signals provides the clarity and precision you need to navigate volatile markets with confidence.
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.
