Kalman Trend Levels [BigBeluga]Kalman Trend Levels is an advanced trend-following indicator designed to highlight key support and resistance zones based on Kalman filter crossovers. With dynamic trend analysis and actionable signals, it helps traders interpret market direction and momentum shifts effectively.
🔵 Key Features:
Trend Levels with Crossover Boxes: Identifies trend shifts by tracking crossovers between fast and slow Kalman filters. When the fast line crosses above the slow line, a green box level appears, indicating a potential support zone. When it crosses below, a red box level forms, acting as a resistance zone.
Retest Signals for Support and Resistance Levels: Enable retest signals to capture price rejections at the established levels, providing possible re-entry points where the price confirms a support or resistance area.
Adaptive Candle Coloring by Trend Momentum: Candle colors adjust based on the trend's strength:
> During a downtrend, if the fast Kalman line shows upward movement, indicating reduced bearish momentum, candles turn gray to signal the weakening trend.
> In an uptrend, when the fast Kalman line declines, showing lower bullish momentum, candles become gray, signaling a potential slowdown in upward movement.
Crossover Signals with Price Labels: Displays arrows with price values at crossover points for quick reference, marking where the fast line overtakes or dips below the slow line. These labels provide a precise price snapshot of significant trend changes.
🔵 When to Use:
The Kalman Trend Levels indicator is ideal for traders looking to identify and act upon trend changes and significant price zones. By visualizing key levels and momentum shifts, this tool allows you to:
Define support and resistance zones that align with trend direction.
Identify and react to trend weakening or strengthening via candle color changes.
Use retest signals for potential re-entries at critical levels.
See crossover points and price values to gain a clearer view of trend changes in real time.
With its focus on trend direction, support/resistance, and momentum clarity, Kalman Trend Levels is an essential tool for navigating trending markets, providing actionable insights with every crossover and trend shift.
指標和策略
❤️❤️❤️ Conesa Kapital By JosefinaConesa Kapital By Josefina, script compartido en el grupo de CONESA KAPITAL de Telegram
Adaptive Kalman Trend Filter (Zeiierman)█ Overview
The Adaptive Kalman Trend Filter indicator is an advanced trend-following tool designed to help traders accurately identify market trends. Utilizing the Kalman Filter—a statistical algorithm rooted in control theory and signal processing—this indicator adapts to changing market conditions, smoothing price data to filter out noise. By focusing on state vector-based calculations, it dynamically adjusts trend and range measurements, making it an excellent tool for both trend-following and range-based trading strategies. The indicator's adaptive nature is enhanced by options for volatility adjustment and three unique Kalman filter models, each tailored for different market conditions.
█ How It Works
The Kalman Filter works by maintaining a model of the market state through matrices that represent state variables, error covariances, and measurement uncertainties. Here’s how each component plays a role in calculating the indicator’s trend:
⚪ State Vector (X): The state vector is a two-dimensional array where each element represents a market property. The first element is an estimate of the true price, while the second element represents the rate of change or trend in that price. This vector is updated iteratively with each new price, maintaining an ongoing estimate of both price and trend direction.
⚪ Covariance Matrix (P): The covariance matrix represents the uncertainty in the state vector’s estimates. It continuously adapts to changing conditions, representing how much error we expect in our trend and price estimates. Lower covariance values suggest higher confidence in the estimates, while higher values indicate less certainty, often due to market volatility.
⚪ Process Noise (Q): The process noise matrix (Q) is used to account for uncertainties in price movements that aren’t explained by historical trends. By allowing some degree of randomness, it enables the Kalman Filter to remain responsive to new data without overreacting to minor fluctuations. This noise is particularly useful in smoothing out price movements in highly volatile markets.
⚪ Measurement Noise (R): Measurement noise is an external input representing the reliability of each new price observation. In this indicator, it is represented by the setting Measurement Noise and determines how much weight is given to each new price point. Higher measurement noise makes the indicator less reactive to recent prices, smoothing the trend further.
⚪ Update Equations:
Prediction: The state vector and covariance matrix are first projected forward using a state transition matrix (F), which includes market estimates based on past data. This gives a “predicted” state before the next actual price is known.
Kalman Gain Calculation: The Kalman gain is calculated by comparing the predicted state with the actual price, balancing between the covariance matrix and measurement noise. This gain determines how much of the observed price should influence the state vector.
Correction: The observed price is then compared to the predicted price, and the state vector is updated using this Kalman gain. The updated covariance matrix reflects any adjustment in uncertainty based on the latest data.
█ Three Kalman Filter Models
Standard Model: Assumes that market fluctuations follow a linear progression without external adjustments. It is best suited for stable markets.
Volume Adjusted Model: Adjusts the filter sensitivity based on trading volume. High-volume periods result in stronger trends, making this model suitable for volume-driven assets.
Parkinson Adjusted Model: Uses the Parkinson estimator, accounting for volatility through high-low price ranges, making it effective in markets with high intraday fluctuations.
These models enable traders to choose a filter that aligns with current market conditions, enhancing trend accuracy and responsiveness.
█ Trend Strength
The Trend Strength provides a visual representation of the current trend's strength as a percentage based on oscillator calculations from the Kalman filter. This table divides trend strength into color-coded segments, helping traders quickly assess whether the market is strongly trending or nearing a reversal point. A high trend strength percentage indicates a robust trend, while a low percentage suggests weakening momentum or consolidation.
█ Trend Range
The Trend Range section evaluates the market's directional movement over a specified lookback period, highlighting areas where price oscillations indicate a trend. This calculation assesses how prices vary within the range, offering an indication of trend stability or the likelihood of reversals. By adjusting the trend range setting, traders can fine-tune the indicator’s sensitivity to longer or shorter trends.
█ Sigma Bands
The Sigma Bands in the indicator are based on statistical standard deviations (sigma levels), which act as dynamic support and resistance zones. These bands are calculated using the Kalman Filter's trend estimates and adjusted for volatility (if enabled). The bands expand and contract according to market volatility, providing a unique visualization of price boundaries. In high-volatility periods, the bands widen, offering better protection against false breakouts. During low volatility, the bands narrow, closely tracking price movements. Traders can use these sigma bands to spot potential entry and exit points, aiming for reversion trades or trend continuation setups.
Trend Based
Volatility Based
█ How to Use
Trend Following:
When the Kalman Filter is green, it signals a bullish trend, and when it’s red, it indicates a bearish trend. The Sigma Cloud provides additional insights into trend strength. In a strong bullish trend, the cloud remains below the Kalman Filter line, while in a strong bearish trend, the cloud stays above it. Expansion and contraction of the Sigma Cloud indicate market momentum changes. Rapid expansion suggests an impulsive move, which could either signal the continuation of the trend or be an early sign of a possible trend reversal.
Mean Reversion: Watch for prices touching the upper or lower sigma bands, which often act as dynamic support and resistance.
Volatility Breakouts: Enable volatility-adjusted sigma bands. During high volatility, watch for price movements that extend beyond the bands as potential breakout signals.
Trend Continuation: When the Kalman Filter line aligns with a high trend strength, it signals a continuation in that direction.
█ Settings
Measurement Noise: Adjusts how sensitive the indicator is to price changes. Higher values smooth out fluctuations but delay reaction, while lower values increase sensitivity to short-term changes.
Kalman Filter Model: Choose between the standard, volume-adjusted, and Parkinson-adjusted models based on market conditions.
Band Sigma: Sets the standard deviation used for calculating the sigma bands, directly affecting the width of the dynamic support and resistance.
Volatility Adjusted Bands: Enables bands to dynamically adapt to volatility, increasing their effectiveness in fluctuating markets.
Trend Strength: Defines the lookback period for trend strength calculation. Shorter periods result in more responsive trend strength readings, while longer periods smooth out the calculation.
Trend Range: Specifies the lookback period for the trend range, affecting the assessment of trend stability over time.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Ryze Zones"Ryze Zones" is an innovative indicator designed to help traders capture and visualize key market zones, called "Ryze Zones," based on the unique high and low of each session's sunrise 1-minute candle. These zones are color-coded into three distinct regions—Red, Blue, and Yellow—allowing traders to quickly identify potential support, resistance, and consolidation areas throughout the trading session.
Key Features:
Automatic Zone Drawing: The indicator automatically identifies the session’s sunrise 1-minute candle and instantly draws the corresponding Ryze Zones, extending them across the chart to provide clear visual guidance throughout the trading day.
Session-Based Zones: Ryze Zones are created from the high and low of the 1-minute candle at session sunrise, forming key zones that extend throughout the trading day.
Customizable Color-Coding: Each zone can be visually distinguished with customizable colors (default: Red, Blue, Yellow) for easy reference and improved focus.
Historical Zone Persistence: Previous days’ zones stay on the chart for added context and are automatically removed after 1 month, keeping the chart clean and relevant.
Ideal for day traders and swing traders alike, Ryze Zones v1.5 provides a clear and structured view of key price zones without any manual input, helping users enhance their trading insights and strategies.
How to Use:
- Zones only properly chart on the 1m timeframe, make sure to manually draw out zones if you plan on switching timeframes in your analysis
1. Click the settings button on the indicator after adding it to your chart
2. Adjust the month and day of month options to generate the Ryze Zones for the given day
3. Thats it. Zones from previous days work for up to a month from when they were created. Do some backtesting!
Entry Criteria:
- Sweep of DOL or POI (optional)
- Test of Ryze Zone
- 1m iFVG
- Hold to swing H/L or nearest Ryze Zone
New Additions:
- Dallas Zone/Level
- Rio Zone/Level
- Iceland Zone/Level
DM @bonkanomics on IG with any questions, comments, or suggestions!
❤️❤️❤️ Conesa Kapital By JosefinaEste script es Propiedad y/o Creacion de un miembro de la comunidad EDU muchisimas gracias por la herramienta! <3
Scalp System# Scalp System
A premium scalping system designed specifically for 2-minute charts, combining multiple timeframe analysis with trend-based trading decisions. This indicator helps identify high-probability scalping opportunities through color-coded moving averages and their crossovers.
## Strategy Overview
### Entry Signals
- ONLY trade LONG when price is above RED line
- ONLY trade SHORT when price is below RED line
- Primary entry: BLUE/GREEN crosses
- Strong trend confirmation: YELLOW/PURPLE crosses
### Best Practices
1. Trade with the trend (follow RED line direction)
2. Wait for price pullbacks of faster lines
3. Combine crosses with support/resistance levels
4. Use smaller targets
5. Quick exits on failed breakouts
6. Monitor volume for confirmation
### Color Guide
- YELLOW: Fast trend identifier
- BLUE: Very short-term momentum (1min)
- GREEN: Short-term momentum (3min)
- RED: Trend filter
- PURPLE: Strong trend baseline
### Risk Management
- Place stops beyond the RED line
- Scale out at key levels
- Use 1:1.5 minimum risk/reward
- Avoid trading during major news
- Reduce position size in choppy markets
### Best Trading Hours
- Most effective during first 2 hours after market open
- Good opportunities during power hour (last hour)
- Avoid lunch hour chop (11:30-1:30 EST)
## Tips
- Less is more - wait for clean setups
- Respect the RED line as your trend filter
- Multiple timeframe confirmation increases success rate
- Use crosses as triggers, not absolute signals
- Practice in simulator before live trading
Mr. Brew EMA 9 & EMA 21 with Buy/Sell LabelsBest indikator scalping 1 minute ema 9 and ema 21 with lable buy and sell
Combined Indicator with T3, EMA, and Trend Following MAthis indicator is a sum of 3 popular indexes
EMA: 5 , 10 , 20 , 21
T3
TREND FOLLOWING MA
when all the body signal is in your chart
drawdown: 5/2%
profit factor:42
for gold
candles heiken ashi OANDA:XAUUSD
Price RangePrice Range
This indicator displays low, middle, and high price zones based on the lowest and highest prices over a specified period, using color-coding. This helps users visually identify the current price's position within these zones.
The effectiveness of chart patterns varies depending on where they appear within these price zones. For example, a double bottom pattern, which signals a potential market bottom, is a strong buy signal if it forms in the low zone, but it has less reliability if it forms in the middle or high zones.
Similarly, price action signals vary in significance based on their location. If a long upper wick pin bar appears in the high zone, it is often interpreted as a sign of reversal.
By combining this Price Range indicator with indicators that display chart patterns or price action signals, traders can make more informed trading decisions.
By default, the middle zone is set to cover 50% of the range, but this can be adjusted.
このインジケーターは、指定した期間の最安値と最高値をもとに、安値圏、中段圏、高値圏を色分けして表示します。これにより、ユーザーは現在の価格がどの位置にあるのかを視覚的に判断できます。
また、チャートパターンの効果は、出現する価格帯によって異なります。たとえば、ダブルボトムは相場の底を示すパターンで、安値圏で形成されると強い買いシグナルとなりますが、中段圏や高値圏で出現しても信頼性は低くなります。
プライスアクションも、どの価格帯に現れるかによって解釈が異なります。高値圏で上ヒゲの長いピンバーが現れると、反転の兆しとして判断されることが多いです。
このPrice Rangeインジケーターを、チャートパターンやプライスアクションを表示するインジケーターと組み合わせることで、より適切なトレード判断が可能になります。
デフォルトでは中段圏の割合が50%になるように設定されていますが、変更することが可能です。
UT Bot Alerts + Hull SuiteIndikator "UT Bot Alerts + Hull Suite" menggabungkan dua strategi teknis yang kuat untuk membantu trader dalam mengenali peluang trading secara lebih efektif di berbagai kondisi pasar.
Money Printer# Money Printer Guide
## Overview
The Money Printer is a powerful technical analysis tool that helps traders identify potential trend changes and trading opportunities using a visual system of diamonds and triangles, combined with trend-following moving averages.
## Visual Elements
- **Moving Average Lines**
- Blue line: Fastest-moving trend indicator
- Green line: Medium-term trend indicator
- Orange line: Longer-term trend indicator
- Red line: Major trend indicator
- **Bullish Signals (Light Blue)**
- Large Diamond (Bottom): Major bullish reversal signal
- Small Diamond: Secondary bullish confirmation
- Triangle Up (Various sizes): Progressive bullish momentum signals
- **Bearish Signals (Purple)**
- Large Diamond (Top): Major bearish reversal signal
- Small Diamond: Secondary bearish confirmation
- Triangle Down (Various sizes): Progressive bearish momentum signals
## How to Trade
### Basic Interpretation
1. **Trend Direction**: Follow the alignment of the colored lines
- Bullish: When faster (blue/green) lines are above slower (orange/red) lines
- Bearish: When faster lines are below slower lines
2. **Signal Strength**
- Diamonds are stronger signals than triangles
- Larger shapes indicate more significant signals
- Multiple signals in the same direction enhance confirmation
## Three Automated Trading Strategies
### 1. Major Reversal Strategy
**Setup Alert Conditions:**
- Entry Long: Light Blue Diamond Major
- Exit Long: Purple Diamond Major
- Best for: Swing trading and position trading
- Recommended Timeframe: 4H or Daily
### 2. Momentum Scalping Strategy
**Setup Alert Conditions:**
- Entry Long: Light Blue Triangle Major
- Exit Long: Purple Triangle Major
- Stop Loss: When price closes below the blue line
- Best for: Short-term trades
- Recommended Timeframe: 15m or 1H
### 3. Trend Confirmation Strategy
**Setup Alert Conditions:**
- Entry Long: Combination of Light Blue Diamond Minor AND Triangle Major
- Exit Long: Either Purple Diamond Minor OR Triangle Major
- Best for: Medium-term trades with higher probability
- Recommended Timeframe: 1H or 4H
## Risk Management Tips
1. Always use stop losses below/above key moving average lines
2. Larger position sizes on Diamond signals
3. Smaller position sizes on Triangle signals
4. Consider market conditions and overall trend before entering trades
5. Wait for candle closure after receiving signals
## Best Practices
1. Combine with volume analysis for better confirmation
2. Use higher timeframes for major signals
3. Look for confluence with support/resistance levels
4. Don't trade against the major trend (red line)
5. Multiple signals in the same direction increase probability of success
Remember: No trading system is 100% accurate. Always manage your risk and use proper position sizing.
ABCD Harmonic Pattern [TradingFinder] ABCD Pattern indicator🔵 Introduction
The ABCD harmonic pattern is a tool for identifying potential reversal zones (PRZ) by using Fibonacci ratios to pinpoint critical price reversal points on price charts.
This pattern consists of four key points, labeled A, B, C, and D. In this structure, the AB and CD waves move in the same direction, while the BC wave acts as a corrective wave in the opposite direction.
The ABCD pattern follows specific Fibonacci ratios that enhance its accuracy in identifying PRZ. Typically, point C lies within the 0.382 to 0.886 Fibonacci retracement of the AB wave, indicating the correction extent of the BC wave.
Subsequently, the CD wave, as the final wave in this pattern, reaches point D with a Fibonacci extension between 1.13 and 2.618 of the BC wave. Point D, which marks the PRZ, is where a potential price reversal is likely to occur.
The ABCD pattern appears in both bullish and bearish forms. In the bullish ABCD pattern, prices tend to increase at point D, which defines the PRZ; in the bearish ABCD pattern, prices typically decrease upon reaching the PRZ at point D.
These characteristics make the ABCD pattern a popular tool for identifying PRZ and price reversal points in financial markets, including forex, cryptocurrencies, and stocks.
Bullish Pattern :
Beaish Pattern :
🔵 How to Use
🟣 Bullish ABCD Pattern
The bullish ABCD pattern is another harmonic structure used to identify a potential reversal zone (PRZ) where the price is likely to rise after a downward movement. This pattern includes four main points A, B, C, and D. In the bullish ABCD, the AB and CD waves move downward, and the BC wave acts as a corrective, upward wave. This setup creates a PRZ at point D, where the price may reverse and move upward.
To identify a bullish ABCD pattern, begin with the downward AB wave. The BC wave retraces upward between 0.382 and 0.886 of the AB wave, indicating the extent of the correction.
After the BC retracement, the CD wave forms and extends from point C down to point D, with an extension of around 1.13 to 2.618 of the BC wave. Point D, as the PRZ, represents the area where the price may reverse upwards, making it a strategic level for potential buy positions.
When the price reaches point D in the bullish ABCD pattern, traders look for upward reversal signals. This can include bullish candlestick formations, such as hammer or morning star patterns, near the PRZ to confirm the trend reversal. Entering a long position after confirmation near point D provides a calculated entry point.
Additionally, placing a stop loss slightly below point D helps protect against potential loss if the reversal does not occur. The ABCD pattern, with its precise Fibonacci structure and PRZ identification, gives traders a disciplined approach to spotting bullish reversals in markets, particularly in forex, cryptocurrency, and stock trading.
Bullish Pattern in COINBASE:BTCUSD :
🟣 Bearish ABCD Pattern
The bearish ABCD pattern is a harmonic structure that indicates a potential reversal zone (PRZ) where price may shift downward after an initial upward movement. This pattern consists of four main points A, B, C, and D. In a bearish ABCD, the AB and CD waves move upward, while the BC wave acts as a corrective wave in the opposite, downward direction. This reversal zone (PRZ) can be identified with specific Fibonacci ratios.
To identify a bearish ABCD pattern, start by observing the AB wave, which forms as an upward price movement. The BC wave, which follows, typically retraces between 0.382 to 0.886 of the AB wave. This retracement indicates how far the correction goes and sets the foundation for the next wave.
Finally, the CD wave extends from point C to reach point D with a Fibonacci extension of approximately 1.13 to 2.618 of the BC wave. Point D represents the PRZ where the potential reversal may occur, making it a critical area for traders to consider short positions.
Once point D in the bearish ABCD pattern is reached, traders can anticipate a downward price movement. At this potential reversal zone (PRZ), traders often wait for additional bearish signals or candlestick patterns, such as engulfing or evening star formations, to confirm the price reversal.
This confirmation around the PRZ enhances the accuracy of the entry point for a bearish position. Setting a stop loss slightly above point D can help manage risk if the price doesn’t reverse as anticipated. The ABCD pattern, with its reliance on Fibonacci ratios and clearly defined points, offers a strategic approach for traders looking to capitalize on potential bearish reversals in financial markets, including forex, stocks, and cryptocurrencies.
Bearish Pattern in OANDA:XAUUSD :
🔵 Setting
🟣 Logical Setting
ZigZag Pivot Period : You can adjust the period so that the harmonic patterns are adjusted according to the pivot period you want. This factor is the most important parameter in pattern recognition.
Show Valid Forma t: If this parameter is on "On" mode, only patterns will be displayed that they have exact format and no noise can be seen in them. If "Off" is, the patterns displayed that maybe are noisy and do not exactly correspond to the original pattern.
Show Formation Last Pivot Confirm : if Turned on, you can see this ability of patterns when their last pivot is formed. If this feature is off, it will see the patterns as soon as they are formed. The advantage of this option being clear is less formation of fielded patterns, and it is accompanied by the latest pattern seeing and a sharp reduction in reward to risk.
Period of Formation Last Pivot : Using this parameter you can determine that the last pivot is based on Pivot period.
🟣 Genaral Setting
Show : Enter "On" to display the template and "Off" to not display the template.
Color : Enter the desired color to draw the pattern in this parameter.
LineWidth : You can enter the number 1 or numbers higher than one to adjust the thickness of the drawing lines. This number must be an integer and increases with increasing thickness.
LabelSize : You can adjust the size of the labels by using the "size.auto", "size.tiny", "size.smal", "size.normal", "size.large" or "size.huge" entries.
🟣 Alert Setting
Alert : On / Off
Message Frequency : This string parameter defines the announcement frequency. Choices include: "All" (activates the alert every time the function is called), "Once Per Bar" (activates the alert only on the first call within the bar), and "Once Per Bar Close" (the alert is activated only by a call at the last script execution of the real-time bar upon closing). The default setting is "Once per Bar".
Show Alert Time by Time Zone : The date, hour, and minute you receive in alert messages can be based on any time zone you choose. For example, if you want New York time, you should enter "UTC-4". This input is set to the time zone "UTC" by default.
🟣 Conclusion
The ABCD harmonic pattern offers a structured approach in technical analysis, helping traders accurately identify potential reversal zones (PRZ) where price movements may shift direction. By leveraging the relationships between points A, B, C, and D, alongside specific Fibonacci ratios, traders can better anticipate points of market reversal and make more informed decisions.
Both the bearish and bullish ABCD patterns enable traders to pinpoint ideal entry points that align with anticipated market shifts. In a bearish ABCD, point D within the PRZ often signals a downward trend reversal, while in a bullish ABCD, this same point typically suggests an upward reversal. The adaptability of the ABCD pattern across different markets, such as forex, stocks, and cryptocurrencies, further highlights its utility and reliability.
Integrating the ABCD pattern into a trading strategy provides a methodical and calculated approach to entry and exit decisions. With accurate application of Fibonacci ratios and confirmation of the PRZ, traders can enhance their trading precision, reduce risks, and boost overall performance. The ABCD harmonic pattern remains a valuable resource for traders aiming to leverage structured patterns for consistent results in their technical analysis.
FP413-V2Desenvolvido por Alex Reis
- Indicador de Reversão.
- Confluência com a tendência
Tipo de Grafico : Range
Tempo do Gráfico: 10R/ 30R / 50R / 100R
Ativo : Mercado Futuros , Forex , Paridades
Adaptive Trend Channel IndicatorThe Adaptive Trend Channel Indicator is a trend-following tool designed to help traders identify buy and sell opportunities by analyzing price action in relation to a dynamic basis line with a customizable buffer zone. This indicator leverages an adaptive moving average to create a responsive trend line, providing insight into market direction and trend strength.
How It Works:
Dynamic Basis Calculation: Using a modified Kaufman’s Adaptive Moving Average (KAMA), the indicator calculates a basis line that adapts to price volatility. The basis line turns green during bullish trends and red during bearish trends, helping to visualize market sentiment.
Buffer Zone for Entry Signals: A buffer zone is calculated around the basis line to filter out false signals in low-volatility or sideways markets. Buy and sell signals are generated only when the price moves beyond this buffer zone, enhancing signal accuracy and reducing noise.
Non-Consecutive Signal Logic: To avoid over-trading, the indicator is programmed to prevent consecutive buy or sell signals in the same direction. This ensures that a new buy signal is only issued after a sell signal, and vice versa, for improved control in trending conditions.
Real-Time Alerts: The indicator issues real-time "Buy" and "Sell" alerts as soon as conditions are met, without waiting for the candle to close. This feature is particularly beneficial for intraday and scalping strategies, where timely entries are crucial.
How to Use:
Buy Signal: A buy signal appears when the basis line is green, and the price moves above the upper buffer zone, indicating a potential uptrend.
Sell Signal: A sell signal appears when the basis line is red, and the price falls below the lower buffer zone, signaling a potential downtrend.
The buffer zone’s sensitivity can be adjusted to adapt the indicator to different trading environments and personal risk tolerance.
Disclaimer: This indicator is designed to support your trading decisions and is best used in combination with other technical analysis tools. It is not intended as standalone financial advice.
Renko Live Price Simulation-AYNETHow It Works:
Inputs:
Box Size (box_size): The size of a Renko brick (in price units).
Candle and Wick Colors: Users can customize colors for up and down candles and toggle wicks on or off.
Logic:
The script tracks the renko_open, renko_close, renko_high, and renko_low variables to simulate the formation of Renko bricks.
A new Renko brick is formed when the price moves up or down by the specified box size.
Candle Plotting:
The plotcandle function is used to draw the simulated Renko bricks on the chart.
Wicks are optional and controlled via the show_wicks input.
Visual Guides:
Two lines represent the thresholds for forming the next up or down Renko brick.
Features:
Real-Time Updates:
Bricks dynamically update as the live price moves.
Customizable Parameters:
Box size, candle colors, and wicks can be tailored to user preferences.
Overlay on Regular Chart:
The Renko simulation overlays the existing candlestick chart, providing context for real-time price action.
Threshold Levels:
Visual guides show how far the current price is from forming the next Renko brick.
Usage Instructions:
Copy and paste the script into the Pine Script editor in TradingView.
Customize the box size and colors to your preference.
Apply the indicator to your chart to visualize the Renko simulation in real time.
Applications:
Trend Analysis:
Renko bricks simplify price trends by filtering out minor fluctuations.
Entry/Exit Points:
Use Renko bricks as potential trade triggers when new bricks form.
Volatility Visualization:
The frequency of brick formation reflects the asset's volatility.
This code provides a live Renko simulation overlay that can be further customized based on user needs. Let me know if you'd like additional features, such as alerts or enhanced visualizations! 😊
Pivot Points LinesEn resumen, este indicador identifica puntos de giro importantes en el precio (pivots) y dibuja líneas horizontales proyectadas desde estos puntos, lo que puede ayudar a identificar posibles niveles de soporte y resistencia futuros. Es una herramienta útil para el análisis técnico y la toma de decisiones de trading.
Funcionamiento:
Permite hasta 500 líneas en el gráfico
Parámetros configurables:
"len": Define cuántas velas se analizan para encontrar pivots (valor entre 2-10)
"lineLength": Define qué tan largas serán las líneas proyectadas (entre 10-200 velas)
Detecta puntos pivot altos "ph" y bajos "pl"
Un pivot alto es un punto donde el precio es más alto que las len velas anteriores y posteriores
Un pivot bajo es un punto donde el precio es más bajo que las len velas anteriores y posteriores
Cuando se detecta un pivot, dibuja una línea punteada blanca
La línea comienza en el punto pivot y se extiende "lineLength" velas hacia el futuro
Las líneas son horizontales (mantienen el mismo nivel de precio)
VWAP + Fibo Dev ExtensionsVWAP + Fibo Dev Extensions
You can use it for scalp trading or long term trading with fibonacci levels applied to VWAP.
It is recommended to use M resolution on the 15m timeframe or 12M resolution on the daily timeframe.
Financial X-RayThe Financial X-Ray is an advanced indicator designed to provide a thorough analysis of a company's financial health and market performance. Its primary goal is to offer investors and analysts a quick yet comprehensive overview of a company's financial situation by combining various key financial ratios and metrics.
How It Works
Data Collection: The indicator automatically extracts a wide range of financial data for the company, covering aspects such as financial strength, profitability, valuation, growth, and operational efficiency.
Sector-Specific Normalization: A unique feature of this indicator is its ability to normalize metrics based on the company's industry sector. This approach allows for more relevant comparisons between companies within the same sector, taking into account industry-specific characteristics.
Standardized Scoring: Each metric is converted to a score on a scale of 0 to 10, facilitating easy comparison and rapid interpretation of results.
Multidimensional Analysis: The indicator doesn't focus on just one financial dimension but offers an overview by covering several crucial aspects of a company's performance.
Fair Value Calculation: Using financial data and market conditions, the indicator provides an estimate of the company's fair value, offering a reference point for assessing current valuation.
Visual Presentation: Results are displayed directly on the TradingView chart in a tabular format, allowing for quick and efficient reading of key information.
Advantages for Users
Time-Saving: Instead of manually collecting and analyzing numerous financial data points, users get an instant comprehensive overview.
Contextual Analysis: Sector-specific normalization allows for a better understanding of the company's performance relative to its peers.
Flexibility: Users can choose which metrics to display, customizing the analysis to their specific needs.
Objectivity: By relying on quantitative data and standardized calculations, the indicator offers an objective perspective on the company's financial health.
Decision Support: The fair value estimate and normalized scores provide valuable reference points for investment decision-making.
Customization and Evolution
One of the major strengths of this indicator is its open-source nature. Users can modify the code to adjust normalization methods, add new metrics, or adapt the display to their preferences. This flexibility allows the indicator to evolve and continuously improve through community contributions.
In summary, the Financial X-Ray is a powerful tool that combines automation, contextual analysis, and customization to provide investors with a clear and comprehensive view of companies' financial health, facilitating informed decision-making in financial markets.
This Financial X-Ray indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The data and calculations used in this indicator may not be accurate or up-to-date. Users should always conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses or damages resulting from its use.
LWMA PengamatanMetode Hitung:
LWMA
HLCC/4
Rata2 harga bergerak
pengamatan dari durasi harga terakhir:
30min
1jam
2jam
4jam
8jam
16jam
d1
d2
d3
d4
w1
w2
w3
mn1
perhitungan didasarkn pada market normal forex senin-jumat
Renko Periodic Spiral of Archimedes-Secret Geometry - AYNETHow It Works
Dynamic Center:
The spiral is centered on the close price of the chart, with an optional vertical offset (center_y_offset).
Spiral Construction:
The spiral is drawn using segments_per_turn to divide each turn into small line segments.
spacing determines the radial distance between successive turns.
num_turns controls how many full rotations the spiral will have.
Line Drawing:
Each segment is computed using trigonometric functions (cos and sin) to calculate its endpoints.
These segments are drawn sequentially to form the spiral.
Inputs
Center Y Offset: Adjusts the vertical position of the spiral relative to the close price.
Number of Spiral Turns: Total number of full rotations in the spiral.
Spacing Between Turns: Distance between consecutive turns.
Segments Per Turn: Number of segments used to create each turn (higher values make the spiral smoother).
Line Color: Customize the color of the spiral lines.
Line Width: Adjust the thickness of the spiral lines.
Example
If num_turns = 5, spacing = 2, and segments_per_turn = 100:
The spiral will have 5 turns, with a radial distance of 2 between each turn, divided into 100 segments per turn.
Let me know if you have further requests or adjustments to the visualization!
BGL - Bitcoin Global Liquidity Indicator [Da_Prof]This indicator takes global liquidity and shifts it forward by a set number of days. It can be used for any asset, but it is by default set for Bitcoin (BTC). The shift forward allows potential future prediction of BTC trends, especially uptrends. While not perfect, the current shift of 72 days seems to be best for the current cycle.
Sixteen currencies are used to calculate global liquidity.
Trend Following Strategy with TP/SL taimoortaimoorchutiya is a strategy that follows trend structure
Optimized Order Flow Strategy//@version=5
indicator("Optimized Order Flow Strategy", overlay=true)
// تنظیمات ورودی
lookback = input(5, title="Lookback Period for Highs/Lows")
fvgLength = input(20, title="FVG Zone Length")
showOrderBlocks = input(true, title="Show Order Blocks")
showFVG = input(true, title="Show FVG Zones")
// شناسایی بالاترین و پایینترین قیمت
highs = high >= ta.highest(high, lookback) ? high : na
lows = low <= ta.lowest(low, lookback) ? low : na
// شناسایی اوردر بلاکها
orderBlockLow = ta.valuewhen(lows, low, 0)
orderBlockHigh = ta.valuewhen(highs, high, 0)
validOrderBlockLow = not na(orderBlockLow)
validOrderBlockHigh = not na(orderBlockHigh)
// فیلتر حجم
volumeFilter = volume > ta.sma(volume, 10)
// سیگنال خرید و فروش
buySignal = validOrderBlockLow and close < orderBlockLow and ta.crossover(close, orderBlockLow) and volumeFilter
sellSignal = validOrderBlockHigh and close > orderBlockHigh and ta.crossunder(close, orderBlockHigh) and volumeFilter
// نمایش سیگنالها
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="Buy")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="Sell")
// هشدارها
alertcondition(buySignal, title="Buy Alert", message="Buy Signal Detected!")
alertcondition(sellSignal, title="Sell Alert", message="Sell Signal Detected!")