Yield Spread (10Y - 2Y)Yield Spread
The green line shows the difference between the 10-Year and 2-Year yields.
Positive Spread: When the green line is above zero, the 10-Year yield is higher than the 2-Year yield. This is normal and indicates an upward-sloping (normal) yield curve, which typically suggests a healthy economy with expectations of future growth.
Flattening Curve: If the green line approaches zero, the yield curve is flattening, indicating that investors are uncertain about future economic growth. They are demanding similar yields for both short and long-term bonds.
Negative Spread (Inverted Yield Curve): If the green line goes below zero, this means the 2-Year yield is higher than the 10-Year yield, creating an inverted yield curve. An inverted curve is often seen as a predictor of a recession, as it indicates that investors expect weaker economic conditions in the future.
Short Explanation of the Chart layout:
This chart tracks U.S. Treasury yields for 2-year (blue), 10-year (white), and 30-year (orange) bonds, along with the yield spread (green) between the 10-year and 2-year bonds. A positive spread suggests a normal yield curve and economic growth, while a negative spread (inversion) often signals a potential recession.
Bands and Channels
GAP Finder with Dollar Difference by RadionovCrypto**GAP UP Detection:**
- The current candle’s low must be higher than the previous candle’s high (high ).
**GAP DOWN Detection:**
- The current candle’s high must be lower than the previous candle’s low (low ).
**Visualization:**
- If a GAP UP is detected, a symbol appears below the candle with the text "GAP UP," and a label displays the dollar difference between the candles.
- If a GAP DOWN is detected, a symbol appears above the candle with the text "GAP DOWN," and a label displays the dollar difference between the candles.
**Explanation:**
- GAP UP is identified when the entire candle (body and wicks) is above the previous candle’s high.
- GAP DOWN is identified when the entire candle (body and wicks) is below the previous candle’s low.
This ensures that only situations where the new candle is completely outside the previous candle are considered as a GAP.
When a GAP is found, a label with the dollar difference between the candles appears on the chart, making it easy to track the gap’s value.
The indicator is particularly useful at the opening of trading sessions in stock markets. It’s optimal to search for GAPs at session transitions on a 5-minute timeframe.
I hope it adds clarity and precision to your trading strategy.
Enjoy trading.
Best regards,
**Radionov Crypto**
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GAP UP Detection:
Мінімум (low) поточної свічки повинен бути вище за максимум (high ) попередньої свічки.
GAP DOWN Detection:
Максимум (high) поточної свічки повинен бути нижче за мінімум (low ) попередньої свічки.
Візуалізація:
Якщо було знайдено GAP UP, на графіку з'являється символ нижче свічки з текстом "GAP UP" та етикетка з різницею у доларах між цінами свічок.
Якщо було знайдено GAP DOWN, на графіку з'являється символ вище свічки з текстом "GAP DOWN" та етикетка з різницею у доларах між цінами свічок.
Пояснення:
GAP UP визначається, коли ціла свічка (тіло і тінь) знаходиться вище за максимум попередньої свічки.
GAP DOWN визначається, коли ціла свічка (тіло і тінь) знаходиться нижче за мінімум попередньої свічки.
Це забезпечує, що тільки ті випадки, де нова свічка повністю знаходиться поза попередньою свічкою, будуть враховані як GAP.
Якщо було знайдено GAP, на графіку з’являється етикетка з різницею у доларах між свічками, що дозволяє легко відстежувати значення розриву.
Індикатор зручно використовувати на стиках торгівельних сессій на фондових ринках. Оптимально шукати GAP саме на стиках сессій на таймфреймі 5 хвилин.
Сподіваюся, що він додасть до вашої торгівельної стратегії соковитості й точності.
Приємного користування.
Із повагою,
Radionov Crypto
MVSF 6.0[ELPANO]The "MVSF 6.0 " indicator, which stands for Multi-Variable Strategy Framework, overlays on price charts to aid in trading decisions. It combines various moving averages and volume data to generate buy and sell signals based on predefined conditions.
Key features of the indicator include:
Moving Averages: It uses three exponential moving averages (EMAs) with lengths of 200, 100, and 50, and two simple moving averages (SMAs) with lengths of 14 and 9. These averages are combined into a single average line to detect trends.
Volume Analysis: The volume is assessed over a specified period (default is 2 bars) to determine its trend relative to its average, influencing the color and interpretation of signals.
Price Source and VWAP: Users can select the price (close, low, or high) used for calculations. The volume-weighted average price (VWAP) serves as a potential benchmark or condition in signal generation.
Signal Generation: Buy and sell signals are based on the relationship of the price to the average line and VWAP, the direction of the last candle, and the trend direction of the average line. These signals are visually represented on the chart.
Customization: Traders can toggle the visibility of signals, entry points, the average line, and even use these elements as conditions for filtering signals.
This script is designed to be flexible, allowing traders to modify settings according to their strategy needs. The description and implementation aim to provide clarity on how each component works together to assist in trading decisions, adhering to best practices for creating and publishing trading scripts.
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Der Indikator "MVSF 6.0 ", der für Multi-Variable Strategy Framework steht, wird über Preisdiagramme gelegt, um bei Handelsentscheidungen zu helfen. Er kombiniert verschiedene gleitende Durchschnitte und Volumendaten, um Kauf- und Verkaufssignale basierend auf vordefinierten Bedingungen zu generieren.
Wesentliche Merkmale des Indikators umfassen:
Gleitende Durchschnitte: Es werden drei exponentielle gleitende Durchschnitte (EMAs) mit Längen von 200, 100 und 50 sowie zwei einfache gleitende Durchschnitte (SMAs) mit Längen von 14 und 9 verwendet. Diese Durchschnitte werden zu einer einzelnen Durchschnittslinie kombiniert, um Trends zu erkennen.
Volumenanalyse: Das Volumen wird über einen festgelegten Zeitraum (standardmäßig 2 Balken) bewertet, um seinen Trend im Vergleich zum Durchschnitt zu bestimmen, was die Farbe und Interpretation der Signale beeinflusst.
Preisquelle und VWAP: Benutzer können den für Berechnungen verwendeten Preis (Schluss-, Tief- oder Hochkurs) auswählen. Der volumengewichtete Durchschnittspreis (VWAP) dient als mögliche Benchmark oder Bedingung bei der Generierung von Signalen.
Signalgenerierung: Kauf- und Verkaufssignale basieren auf dem Verhältnis des Preises zur Durchschnittslinie und zum VWAP, der Richtung der letzten Kerze und der Trendrichtung der Durchschnittslinie. Diese Signale werden visuell auf dem Diagramm dargestellt.
Anpassung: Händler können die Sichtbarkeit von Signalen, Einstiegspunkten, der Durchschnittslinie und sogar deren Verwendung als Bedingungen für die Filterung von Signalen ein- und ausschalten.
Dieses Skript ist so konzipiert, dass es flexibel ist und Händlern erlaubt, die Einstellungen gemäß ihren Strategiebedürfnissen zu modifizieren. Die Beschreibung und Implementierung zielen darauf ab, Klarheit darüber zu schaffen, wie jede Komponente zusammenarbeitet, um bei Handelsentscheidungen zu helfen, und halten sich an die besten Praktiken für die Erstellung und Veröffentlichung von Handelsskripten.
Pivot Channel Breaks [BigBeluga]Pivot Channel Break
The Pivot Channel Break indicator identifies key pivot points and creates a dynamic channel based on these pivots. It detects breakouts from this channel, providing potential entry and exit signals for traders.
🔵 How to Use
Channel Identification:
- Upper and lower channel lines drawn based on pivot highs and lows
- Channel width dynamically adjusted using ATR-like calculation
Breakout Signals:
- Upward breakout: Price closes above upper channel line
- Downward breakout: Price closes below lower channel line
- Signals shown as X marks on the chart
Pivot Points:
- High pivots marked with "H" triangles
- Low pivots marked with "L" triangles
Support & Resistance:
- Optional signals when price touches but doesn't break channel lines
Trend Visualization:
- Optional bar coloring based on the most recent breakout direction
🔵 Customization
• Pivot Right: Lookback period for pivot detection (default: 10)
• Pivot Left: Forward period for pivot confirmation (default: 40)
• Channel Width: Multiplier for channel width calculation (default: 1.0)
• Support & Resistance Signals: Toggle additional touch signals
• Bar Color: Enable/disable trend-based bar coloring
Calculation:
Detect pivot highs and lows using specified lookback periods
Calculate channel basis using 10-period SMA of close prices
Determine channel width using ATR-like calculation: RMA(high - low, 10) * width multiplier
Set channel lines based on pivot points and calculated deviations
Identify breakouts when price crosses beyond channel lines
The Pivot Channel Break indicator offers a dynamic approach to identifying potential trend changes and breakout opportunities. It combines pivot point analysis with a flexible channel calculation, providing traders with a visual tool for market structure analysis. Use this indicator in conjunction with other technical analysis methods to confirm signals and manage risk effectively.
Highlight Opening Candle with Dynamic Color What is this indicator - This indicator is color coded for showing the opening range of the market. Ideally to be used with 5min, 10min or 15mins. Any candles that has its high / low within the opening range - the candle will be highlighted in RED.
How to use this indicator - For beginners, this indicator is useful to determine the trend based on open. If the candle is RED (meaning its still within the opening range) the trend is not clear. Once the a whole candle is open/closed above or below the opening range - the color of the range band indicates the trend. Green range - uptrend, Red range - downtrend. Grey range - price still in the opening range.
VWAP Bands [TradingFinder] 26 Brokers Data (Forex + Crypto)🔵 Introduction
Indicators are tools that help analysts predict the price trend of a stock through mathematical calculations on price or trading volume. It is evident that trading volume significantly impacts the price trend of a stock symbol.
The Volume-Weighted Average Price (VWAP) indicator combines the influence of trading volume and price, providing technical analysts with a practical tool.
This technical indicator determines the volume-weighted average price of a symbol over a specified time period. Consequently, this indicator can be used to identify trends and entry or exit points.
🟣 Calculating the VWAP Indicator
Adding the VWAP indicator to a chart will automatically perform all calculations for you. However, if you wish to understand how this indicator is calculated, the following explains the steps involved.
Consider a 5-minute chart. In the first candle of this chart (which represents price information in the first 5 minutes), sum the high, low, and close prices, and divide by 3. Multiply the resulting number by the volume for the period and call it a variable (e.g., X).
Then, divide the resulting output by the total volume for that period to calculate your VWAP. To maintain the VWAP sequence throughout the trading day, it is necessary to add the X values obtained from each period to the previous period and divide by the total volume up to that time. It is worth noting that the calculation method is the same for intervals shorter than a day.
The mathematical formula for this VWAP indicator : VWAP = ∑ (Pi×Vi) / ∑ Vi
🔵 How to Use
Traders might consider the VWAP indicator as a tool for predicting trends. For example, they might buy a stock when the price is above the VWAP level and sell it when the price is below the VWAP.
In other words, when the price is above the VWAP, the price is rising, and when it is below the VWAP, the price is falling. Major traders and investment funds also use the VWAP ratio to help enter or exit stocks with the least possible market impact.
It is important to note that one should not rely solely on the VWAP indicator when analyzing symbols. This is because if prices rise quickly, the VWAP indicator may not adequately describe the conditions. This indicator is generally used for daily or shorter time frames because using longer intervals can distort the average.
Since this indicator uses past data in its calculations, it can be considered a lagging indicator. As a result, the more data there is, the greater the delay.
🟣 Difference Between VWAP and Simple Moving Average
On a chart, the VWAP and the simple moving average may look similar, but these two indicators have different calculations. The VWAP calculates the total price considering volume, while the simple moving average does not consider volume.
In simpler terms, the VWAP indicator measures each day's price change relative to the trading volume that occurred that day. In contrast, the simple moving average implicitly assumes that all trading days have the same volume.
🟣 Reasons Why Traders Like the VWAP Indicator
The VWAP Considers Volume: Since VWAP takes volume into account, it can be more reliable than a simple arithmetic average of prices. Theoretically, one person can buy 200,000 shares of a symbol in one transaction at a single price.
However, during the same time frame, 100 other people might place 200 different orders at various prices that do not total 100,000 shares. In this case, if you only consider the average price, you might be mistaken because trading volume is ignored.
The Indicator Can Help Day Traders: While reviewing your trades, you might notice that the shares you bought at market price are trading below the VWAP indicator.
In this case, there's no need to worry because with the help of VWAP, you always get a price below the average. By knowing the volume-weighted average price of a stock, you can easily make an informed decision about paying more or less than other traders for the stock.
VWAP Can Signal Market Trend Changes: Buying low and selling high can be an excellent strategy for individuals. However, you are looking to buy when prices start to rise and sell your shares when prices start to fall.
Since the VWAP indicator simulates a balanced price in the market, when the price crosses above the VWAP line, one can assume that traders are willing to pay more to acquire shares, and as a result, the market will grow. Conversely, when the price crosses below the line, this can be considered a sign of a downward movement.
🔵 Setting
Period : Indicator calculation time frame.
Source : The Price used for calculations.
Market Ultra Data : If you turn on this feature, 26 large brokers will be included in the calculation of the trading volume.
The advantage of this capability is to have more reliable volume data. You should be careful to specify the market you are in, FOREX brokers and Crypto brokers are different.
Multiplier : Coefficient of band lines.
Multi-Step Vegas SuperTrend - strategy [presentTrading]Long time no see! I am back : ) Please allow me to gain some warm-up.
█ Introduction and How it is Different
The "Vegas SuperTrend Strategy" is an enhanced trading strategy that leverages both the Vegas Channel and SuperTrend indicators to generate buy and sell signals.
What sets this strategy apart from others is its dynamic adjustment to market volatility and its multi-step take profit mechanism. Unlike traditional single-step profit-taking approaches, this strategy allows traders to systematically scale out of positions at predefined profit levels, thereby optimizing their risk-reward ratio and maximizing potential gains.
BTCUSD 6hr performance
█ Strategy, How it Works: Detailed Explanation
The Vegas SuperTrend Strategy combines the strengths of the Vegas Channel and SuperTrend indicators to identify market trends and generate trade signals. The following subsections delve into the details of how each component works and how they are integrated.
🔶 Vegas Channel Calculation
The Vegas Channel is based on a simple moving average (SMA) and the standard deviation (STD) of the closing prices over a specified period. The channel is defined by upper and lower bounds that are dynamically adjusted based on market volatility.
Simple Moving Average (SMA):
SMA_vegas = (1/N) * Σ(Close_i) for i = 0 to N-1
where N is the length of the Vegas Window.
Standard Deviation (STD):
STD_vegas = sqrt((1/N) * Σ(Close_i - SMA_vegas)^2) for i = 0 to N-1
Vegas Channel Upper and Lower Bounds:
VegasChannelUpper = SMA_vegas + STD_vegas
VegasChannelLower = SMA_vegas - STD_vegas
The details are here:
🔶 Trend Detection and Trade Signals
The strategy determines the current market trend based on the closing price relative to the SuperTrend bounds:
Market Trend:
MarketTrend = 1 if Close > SuperTrendPrevLower
-1 if Close < SuperTrendPrevUpper
Previous Trend otherwise
Trade signals are generated when there is a shift in the market trend:
Bullish Signal: When the market trend shifts from -1 to 1.
Bearish Signal: When the market trend shifts from 1 to -1.
🔶 Multi-Step Take Profit Mechanism
The strategy incorporates a multi-step take profit mechanism that allows for partial exits at predefined profit levels. This helps in locking in profits gradually and reducing exposure to market reversals.
Take Profit Levels:
The take profit levels are calculated as percentages of the entry price:
TakeProfitLevel_i = EntryPrice * (1 + TakeProfitPercent_i/100) for long positions
TakeProfitLevel_i = EntryPrice * (1 - TakeProfitPercent_i/100) for short positions
Multi-steps take profit local picture:
█ Trade Direction
The trade direction can be customized based on the user's preference:
Long: The strategy only takes long positions.
Short: The strategy only takes short positions.
Both: The strategy can take both long and short positions based on the market trend.
█ Usage
To use the Vegas SuperTrend Strategy, follow these steps:
Configure Input Settings:
- Set the ATR period, Vegas Window length, SuperTrend Multiplier, and Volatility Adjustment Factor.
- Choose the desired trade direction (Long, Short, Both).
- Enable or disable the take profit mechanism and set the take profit percentages and amounts for each step.
█ Default Settings
The default settings of the strategy are designed to provide a balanced approach to trading. Below is an explanation of each setting and its effect on the strategy's performance:
ATR Period (10): This setting determines the length of the ATR used in the SuperTrend calculation. A longer period smoothens the ATR, making the SuperTrend less sensitive to short-term volatility. A shorter period makes the SuperTrend more responsive to recent price movements.
Vegas Window Length (100): This setting defines the period for the Vegas Channel's moving average. A longer window provides a broader view of the market trend, while a shorter window makes the channel more responsive to recent price changes.
SuperTrend Multiplier (5): This base multiplier adjusts the sensitivity of the SuperTrend to the ATR. A higher multiplier makes the SuperTrend less sensitive, reducing the frequency of trade signals. A lower multiplier increases sensitivity, generating more signals.
Volatility Adjustment Factor (5): This factor dynamically adjusts the SuperTrend multiplier based on the width of the Vegas Channel. A higher factor increases the sensitivity of the SuperTrend to changes in market volatility, while a lower factor reduces it.
Take Profit Percentages (3.0%, 6.0%, 12.0%, 21.0%): These settings define the profit levels at which portions of the trade are exited. They help in locking in profits progressively as the trade moves in favor.
Take Profit Amounts (25%, 20%, 10%, 15%): These settings determine the percentage of the position to exit at each take profit level. They are distributed to ensure that significant portions of the trade are closed as the price reaches the set levels, reducing exposure to reversals.
Adjusting these settings can significantly impact the strategy's performance. For instance, increasing the ATR period or the SuperTrend multiplier can reduce the number of trades, potentially improving the win rate but also missing out on some profitable opportunities. Conversely, lowering these values can increase trade frequency, capturing more short-term movements but also increasing the risk of false signals.
Machine Learning Adaptive SuperTrend [AlgoAlpha]📈🤖 Machine Learning Adaptive SuperTrend - Take Your Trading to the Next Level! 🚀✨
Introducing the Machine Learning Adaptive SuperTrend , an advanced trading indicator designed to adapt to market volatility dynamically using machine learning techniques. This indicator employs k-means clustering to categorize market volatility into high, medium, and low levels, enhancing the traditional SuperTrend strategy. Perfect for traders who want an edge in identifying trend shifts and market conditions.
What is K-Means Clustering and How It Works
K-means clustering is a machine learning algorithm that partitions data into distinct groups based on similarity. In this indicator, the algorithm analyzes ATR (Average True Range) values to classify volatility into three clusters: high, medium, and low. The algorithm iterates to optimize the centroids of these clusters, ensuring accurate volatility classification.
Key Features
🎨 Customizable Appearance: Adjust colors for bullish and bearish trends.
🔧 Flexible Settings: Configure ATR length, SuperTrend factor, and initial volatility guesses.
📊 Volatility Classification: Uses k-means clustering to adapt to market conditions.
📈 Dynamic SuperTrend Calculation: Applies the classified volatility level to the SuperTrend calculation.
🔔 Alerts: Set alerts for trend shifts and volatility changes.
📋 Data Table Display: View cluster details and current volatility on the chart.
Quick Guide to Using the Machine Learning Adaptive SuperTrend Indicator
🛠 Add the Indicator: Add the indicator to favorites by pressing the star icon. Customize settings like ATR length, SuperTrend factor, and volatility percentiles to fit your trading style.
📊 Market Analysis: Observe the color changes and SuperTrend line for trend reversals. Use the data table to monitor volatility clusters.
🔔 Alerts: Enable notifications for trend shifts and volatility changes to seize trading opportunities without constant chart monitoring.
How It Works
The indicator begins by calculating the ATR values over a specified training period to assess market volatility. Initial guesses for high, medium, and low volatility percentiles are inputted. The k-means clustering algorithm then iterates to classify the ATR values into three clusters. This classification helps in determining the appropriate volatility level to apply to the SuperTrend calculation. As the market evolves, the indicator dynamically adjusts, providing real-time trend and volatility insights. The indicator also incorporates a data table displaying cluster centroids, sizes, and the current volatility level, aiding traders in making informed decisions.
Add the Machine Learning Adaptive SuperTrend to your TradingView charts today and experience a smarter way to trade! 🌟📊
Support ResistanceThis indicator was written in pine script code, inspired by the L3 Banker Fund Flow Trend Oscillator indicator whose link I gave below.
This indicator is designed to track the flow of banker funds in the market by analyzing price movements and generating entry signals based on specific criteria. It uses a combination of custom functions and moving averages to identify potential points where bankers might be entering the market.
Key Features:
Fund Flow Trend Calculation:
The indicator calculates the fund flow trend using a combination of weighted moving averages. This helps in identifying the overall trend and potential reversals.
Bull Bear Line:
A key component of the indicator is the Bull Bear Line, which is derived from the typical price, lowest low, and highest high over a specified period. This line helps in determining the strength and direction of the market trend.
Banker Entry Signal:
The indicator generates a banker entry signal when the fund flow trend crosses above the Bull Bear Line, and the Bull Bear Line is below 25. This condition is indicative of a potential entry point for bankers.
Visual Representation:
Entry prices and indices for the last five banker entry signals are stored and used to draw dashed lines on the chart, representing these significant levels.
A dynamic rectangle is drawn between the last two entry prices, which extends to the right until the specified conditions are met. The rectangle's color changes from red to green if the price crosses above it by at least one bar, indicating a potential support zone.
Usage:
Trend Identification:
Use the fund flow trend and Bull Bear Line to identify the prevailing market trend and potential reversal points.
Entry Signals:
Pay attention to the banker entry signals as potential points of entry based on institutional fund flow.
Support and Resistance:
The dynamic rectangle can act as a support zone. Monitor price action relative to this rectangle for potential trading opportunities.
This indicator is a powerful tool for traders looking to align their trades with the movements of large institutional players. By understanding and tracking the flow of banker funds, traders can gain valuable insights into market dynamics and make more informed trading decisions.
BTC - Power Law OscillatorDescription:
The BTC - Power Law Oscillator is a technical analysis tool designed to help traders and investors identify potential overbought and oversold conditions in the Bitcoin market. This oscillator is based on a power law model that approximates Bitcoin's historical price trajectory, providing a framework for understanding deviations from this trajectory over time.
Key Features:
Exponential Model: The oscillator uses an exponential model that represents Bitcoin's price growth over time since its inception on January 3, 2009. This model is mathematically expressed as:
price=exp(5.71×ln(days since inception)−38.16)
This captures the long-term growth trend of Bitcoin, allowing for the analysis of deviations from this model.
Deviation Analysis: The Power Law Oscillator measures the percentage deviation of Bitcoin's closing price from the model price. This deviation is expressed as a percentage to illustrate how far the current price is from the expected model trajectory.
Normalization: The oscillator values are normalized to a 0-100 range. A quadratic transformation is applied to enhance sensitivity to higher values, allowing for better visualization and interpretation of extreme conditions.
Bands and Zones:
Upper Band (50): Indicates the 20% threshold. Values above this band suggest overbought conditions, where Bitcoin's price may be significantly above the expected trajectory.
Lower Band (15): Indicates the 5% threshold. Values below this band suggest oversold conditions, where Bitcoin's price may be significantly below the expected trajectory.
Top Zone: The area above the upper band is shaded red, highlighting potential sell or caution areas.
Bottom Zone: The area below the lower band is shaded green, highlighting potential buy or accumulation areas.
Benefits:
Trend Analysis: Helps identify long-term trends and potential reversals by analyzing price deviations from a theoretical model based on historical growth.
Market Timing: Assists in market timing decisions by indicating overbought and oversold conditions with visual bands and zones.
Enhanced Sensitivity: The quadratic normalization enhances sensitivity to changes in the oscillator, providing clearer signals for traders.
Usage Tips:
Complementary Tool: Use this oscillator in conjunction with other technical indicators and fundamental analysis for more comprehensive market insights.
Risk Management: Always employ sound risk management strategies when trading, as no single indicator can guarantee accurate predictions.
Market Context: Consider the broader market context, as Bitcoin's volatility can lead to significant short-term fluctuations.
The BTC - Power Law Oscillator provides a unique perspective on Bitcoin's price movements by leveraging a mathematical model to understand historical growth trends and deviations. Use this tool to gain deeper insights into market dynamics and enhance your trading strategy.
Enhanced Alligator Trend Indicator By Er. Parvez HaleemPurpose: The Enhanced Alligator Trend Indicator aims to identify strong and reliable buy and sell signals on the price chart by combining the Alligator Indicator with trend strength and volume filters. It is specifically designed for use on a 1-minute chart to enhance precision in short-term trading decisions.
Components:
Alligator Indicator:
Jaw Line (Blue): Calculated as a simple moving average (SMA) of the closing price over a specified period (default: 13 bars). Represents the long-term trend.
Teeth Line (Red): Calculated as a simple moving average (SMA) of the closing price over a shorter period (default: 8 bars). Represents the medium-term trend.
Lips Line (Green): Calculated as a simple moving average (SMA) of the closing price over an even shorter period (default: 5 bars). Represents the short-term trend.
Trend Strength Indicator:
Relative Strength Index (RSI): Measures the strength of the current trend, using a default period of 14 bars. RSI values above 50 suggest a bullish trend, while values below 50 suggest a bearish trend.
Volume Filter:
Volume Threshold: Filters signals based on trading volume to ensure they only appear when volume exceeds a specified threshold (default: 100,000). This helps to avoid low-volume noise and enhance signal reliability.
Additional Trend Filters:
Short-Term SMA: A simple moving average with a default period of 20 bars, used to assess short-term trend direction.
Long-Term SMA: A simple moving average with a default period of 50 bars, used to assess long-term trend direction.
SMA Crossover: A bullish crossover occurs when the short-term SMA is above the long-term SMA, and a bearish crossover occurs when the short-term SMA is below the long-term SMA.
Signal Generation:
Buy Signal: Generated when:
The Lips line is above the Teeth line, and the Teeth line is above the Jaw line (indicating a bullish alignment in the Alligator Indicator).
The RSI is above 50 (indicating strong bullish trend strength).
The trading volume exceeds the specified volume threshold (indicating sufficient trading activity).
The short-term SMA is above the long-term SMA (confirming a bullish trend).
Sell Signal: Generated when:
The Lips line is below the Teeth line, and the Teeth line is below the Jaw line (indicating a bearish alignment in the Alligator Indicator).
The RSI is below 50 (indicating strong bearish trend strength).
The trading volume exceeds the specified volume threshold (indicating sufficient trading activity).
The short-term SMA is below the long-term SMA (confirming a bearish trend).
Plotting on Chart:
Alligator Lines: The Jaw, Teeth, and Lips lines are plotted directly on the price chart in blue, red, and green, respectively, to indicate the long-term, medium-term, and short-term trends.
Buy/Sell Signals: Buy signals are plotted below the price bars in green, and sell signals are plotted above the price bars in red. These signals are marked with labels ("BUY" and "SELL") to clearly indicate trading opportunities.
Debugging: RSI and SMA lines are plotted but hidden by default. They can be revealed for verification purposes to ensure the correctness of the indicator’s calculations.
Alerts:
Buy Alert: Triggers when a buy signal condition is met, sending a notification that a buy opportunity has been identified.
Sell Alert: Triggers when a sell signal condition is met, sending a notification that a sell opportunity has been identified.
DSL Oscillator [BigBeluga]DSL Oscillator BigBeluga
The DSL (Discontinued Signal Lines) Oscillator is an advanced technical analysis tool that combines elements of the Relative Strength Index (RSI), Discontinued Signal Lines, and Zero-Lag Exponential Moving Average (ZLEMA). This versatile indicator is designed to help traders identify trend direction, momentum, and potential reversal points in the market.
What are Discontinued Signal Lines (DSL)?
Discontinued Signal Lines are an extension of the traditional signal line concept used in many indicators. While a standard signal line compares an indicator's value to its smoothed (slightly lagging) state, DSL takes this idea further by using multiple adaptive lines that respond to the indicator's current value. This approach provides a more nuanced view of the indicator's state and momentum, making it easier to determine trends and desired states of the indicator.
🔵 KEY FEATURES
● Discontinued Signal Lines (DSL)
Uses multiple adaptive lines that respond to the indicator's value
Provides a more nuanced view of the indicator's state and momentum
Helps determine trends and desired states of the indicator more effectively
Available in "Fast" and "Slow" modes for different responsiveness
Acts as dynamic support and resistance levels for the oscillator
● DSL Oscillator
Based on a combination of RSI and Discontinued Signal Lines
// Discontinued Signal Lines
dsl_lines(src, length)=>
UP = 0.
DN = 0.
UP := (src > ta.sma(src, length)) ? nz(UP ) + dsl_mode / length * (src - nz(UP )) : nz(UP )
DN := (src < ta.sma(src, length)) ? nz(DN ) + dsl_mode / length * (src - nz(DN )) : nz(DN )
Smoothed using Zero-Lag Exponential Moving Average for reduced lag
// Zero-Lag Exponential Moving Average function
zlema(src, length) =>
lag = math.floor((length - 1) / 2)
ema_data = 2 * src - src
ema2 = ta.ema(ema_data, length)
ema2
Oscillates between 0 and 100
Color-coded for easy interpretation of market conditions
● Signal Generation
Generates buy signals when the oscillator crosses above the lower DSL line below 50
Generates sell signals when the oscillator crosses below the upper DSL line above 50
Signals are visualized on both the oscillator and the main chart
● Visual Cues
Background color changes on signal occurrences for easy identification
Candles on the main chart are colored based on the latest signal
Oscillator line color changes based on its position relative to the DSL lines
🔵 HOW TO USE
● Trend Identification
Use the color and position of the DSL Oscillator relative to its Discontinued Signal Lines to determine the overall market trend
● Entry Signals
Look for buy signals (green circles) when the oscillator crosses above the lower DSL line
Look for sell signals (blue circles) when the oscillator crosses below the upper DSL line
Confirm signals with the triangles on the main chart and background color changes
● Exit Signals
Consider exiting long positions on exit signals and short positions on Entery signals
Watch for the oscillator crossing back between the DSL lines as a potential early exit signal
● Momentum Analysis
Strong momentum is indicated when the oscillator moves rapidly towards extremes and away from the DSL lines
Weakening momentum can be spotted when the oscillator struggles to reach new highs or lows, or starts converging with the DSL lines
The space between the DSL lines can indicate potential momentum strength - wider gaps suggest stronger trends
● Confirmation
Use the DSL lines as dynamic support/resistance levels for the oscillator
Look for convergence between oscillator signals and price action on the main chart
Combine signals with other technical indicators or chart patterns for stronger confirmation
🔵 CUSTOMIZATION
The DSL Oscillator offers several customization options:
Adjust the main calculation length for the DSL lines
Choose between "Fast" and "Slow" modes for the DSL lines calculation
By fine-tuning these settings, traders can adapt the DSL Oscillator to various market conditions and personal trading strategies.
The DSL Oscillator provides a multi-faceted approach to market analysis, combining trend identification, momentum assessment, and signal generation in one comprehensive tool. Its dynamic nature and visual cues make it suitable for both novice and experienced traders across various timeframes and markets. The integration of RSI, Discontinued Signal Lines, and ZLEMA offers traders a sophisticated yet intuitive tool to inform their trading decisions.
The use of Discontinued Signal Lines sets this oscillator apart from traditional indicators by providing a more adaptive and nuanced view of market conditions. This can potentially lead to more accurate trend identification and signal generation, especially in markets with varying volatility.
Traders can use the DSL Oscillator to identify trends, spot potential reversals, and gauge market momentum. The combination of the oscillator, dynamic signal lines, and clear visual signals provides a holistic view of market conditions. As with all technical indicators, it's recommended to use the DSL Oscillator in conjunction with other forms of analysis and within the context of a well-defined trading strategy.
High Low Lines (500 candle 5min)This TradingView script is designed to visualize the highest high and the lowest low from the previous 576 candles on the chart. It draws horizontal lines representing these values and updates them at a specific time each day.
Bollinger Bands Enhanced StrategyOverview
The common practice of using Bollinger bands is to use it for building mean reversion or squeeze momentum strategies. In the current script Bollinger Bands Enhanced Strategy we are trying to combine the strengths of both strategies types. It utilizes Bollinger Bands indicator to buy the local dip and activates trailing profit system after reaching the user given number of Average True Ranges (ATR). Also it uses 200 period EMA to filter trades only in the direction of a trend. Strategy can execute only long trades.
Unique Features
Trailing Profit System: Strategy uses user given number of ATR to activate trailing take profit. If price has already reached the trailing profit activation level, scrip will close long trade if price closes below Bollinger Bands middle line.
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Major Trend Filter: Strategy utilizes 100 period EMA to take trades only in the direction of a trend.
Flexible Risk Management: Users can choose number of ATR as a stop loss (by default = 1.75) for trades. This is flexible approach because ATR is recalculated on every candle, therefore stop-loss readjusted to the current volatility.
Methodology
First of all, script checks if currently price is above the 200-period exponential moving average EMA. EMA is used to establish the current trend. Script will take long trades on if this filtering system showing us the uptrend. Then the strategy executes the long trade if candle’s low below the lower Bollinger band. To calculate the middle Bollinger line, we use the standard 20-period simple moving average (SMA), lower band is calculated by the substruction from middle line the standard deviation multiplied by user given value (by default = 2).
When long trade executed, script places stop-loss at the price level below the entry price by user defined number of ATR (by default = 1.75). This stop-loss level recalculates at every candle while trade is open according to the current candle ATR value. Also strategy set the trailing profit activation level at the price above the position average price by user given number of ATR (by default = 2.25). It is also recalculated every candle according to ATR value. When price hit this level script plotted the triangle with the label “Strong Uptrend” and start trail the price at the middle Bollinger line. It also started to be plotted as a green line.
When price close below this trailing level script closes the long trade and search for the next trade opportunity.
Risk Management
The strategy employs a combined and flexible approach to risk management:
It allows positions to ride the trend as long as the price continues to move favorably, aiming to capture significant price movements. It features a user-defined ATR stop loss parameter to mitigate risks based on individual risk tolerance. By default, this stop-loss is set to a 1.75*ATR drop from the entry point, but it can be adjusted according to the trader's preferences.
There is no fixed take profit, but strategy allows user to define user the ATR trailing profit activation parameter. By default, this stop-loss is set to a 2.25*ATR growth from the entry point, but it can be adjusted according to the trader's preferences.
Justification of Methodology
This strategy leverages Bollinger bangs indicator to open long trades in the local dips. If price reached the lower band there is a high probability of bounce. Here is an issue: during the strong downtrend price can constantly goes down without any significant correction. That’s why we decided to use 200-period EMA as a trend filter to increase the probability of opening long trades during major uptrend only.
Usually, Bollinger Bands indicator is using for mean reversion or breakout strategies. Both of them have the disadvantages. The mean reversion buys the dip, but closes on the return to some mean value. Therefore, it usually misses the major trend moves. The breakout strategies usually have the issue with too high buy price because to have the breakout confirmation price shall break some price level. Therefore, in such strategies traders need to set the large stop-loss, which decreases potential reward to risk ratio.
In this strategy we are trying to combine the best features of both types of strategies. Script utilizes ate ATR to setup the stop-loss and trailing profit activation levels. ATR takes into account the current volatility. Therefore, when we setup stop-loss with the user-given number of ATR we increase the probability to decrease the number of false stop outs. The trailing profit concept is trying to add the beat feature from breakout strategies and increase probability to stay in trade while uptrend is developing. When price hit the trailing profit activation level, script started to trail the price with middle line if Bollinger bands indicator. Only when candle closes below the middle line script closes the long trade.
Backtest Results
Operating window: Date range of backtests is 2020.10.01 - 2024.07.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 30%
Maximum Single Position Loss: -9.78%
Maximum Single Profit: +25.62%
Net Profit: +6778.11 USDT (+67.78%)
Total Trades: 111 (48.65% win rate)
Profit Factor: 2.065
Maximum Accumulated Loss: 853.56 USDT (-6.60%)
Average Profit per Trade: 61.06 USDT (+1.62%)
Average Trade Duration: 76 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Financial Frontline:Integrated Market Analysis Toolkit[drshah93]Title: Financial Frontline: Bollinger BandWidth with Moving Average + Fractal & Alligator + Ichimoku Cloud + Anchored VWAP
This script is developed to integrate multiple robust technical analysis tools into a single, comprehensive indicator. Designed for traders seeking an all-in-one solution, this script combines Fractal and Alligator, Ichimoku Cloud, Anchored VWAP, and Bollinger BandWidth with Moving Average, providing a holistic view of the market.
Unlocking Market Dynamics: How It Works Together
This multi-tool indicator is more than just a mashup; it is a strategically crafted integration that maximizes the strengths of each component to deliver a versatile and insightful trading tool.
1. Fractal and Alligator:
o Concept:
The Fractal & Alligator combination serves as a powerful mechanism for identifying trend reversals and continuations.
Fractals pinpoint potential turning points in the market, while the Alligator lines, consisting of smoothed moving averages, provide a clear indication of trend direction and strength.
By plotting visual markers for completed top and bottom fractals, this component helps traders to easily identify critical potential turning points of market reversal.
The Bill Williams' Alligator’s three moving averages (jaw, teeth, and lips) further enhance this analysis by indicating the prevailing trend and its momentum, making it easier to discern when to enter or exit trades.
o Details: Customizable jaw, teeth, and lips represent the market's direction. Top and bottom fractals help identify potential support and resistance levels.
o Usage: Enable the Alligator to visualize the market's trend direction and use fractals to spot potential entry and exit points.
2. Ichimoku Cloud:
o Concept:
The Ichimoku Cloud component adds another layer of market insight by providing a comprehensive view of support and resistance levels, trend direction, and momentum.
The cloud (Kumo) itself indicates key support and resistance zones, while the Tenkan-sen and Kijun-sen lines offer shorter-term trend and momentum insights.
The Chikou Span, or lagging line, provides a perspective on current price action relative to past prices.
This multi-faceted approach helps traders to identify high-probability trading opportunities and to understand the broader market context, allowing for more informed trading decisions.
o Details: Includes conversion line (Tenkan-sen), base line (Kijun-sen), leading spans (Senkou Span A & B), and lagging span (Chikou Span). Customizable lengths and colors for each element.
o Usage: Use the cloud's color and position relative to price to determine bullish or bearish trends and identify potential trading signals.
3. Anchored VWAP:
o Concept:
Anchored VWAPs (Volume Weighted Average Price) are dynamically anchored to significant price points such as swing highs and lows.
This component helps traders to understand the average price paid over a specific period and to identify critical price levels that may act as support or resistance.
By anchoring the VWAP to significant points, this indicator provides a more precise view of where key market participants are positioned, aiding in the identification of potential reversal points and confirming trend direction.
Anchored VWAP (Volume Weighted Average Price) provides the average price of an asset, weighted by volume, from a specific anchor point.
o Details: Multiple Anchored VWAP lines from significant highs and lows. Customizable lengths and colors for each VWAP.
o Usage: Analyze the price's relationship to VWAP lines to assess market strength and potential reversal points.
4. Bollinger BandWidth with Moving Average:
o Concept:
This component combines the volatility insights of Bollinger BandWidth with the trend-following properties of moving averages.
The Bollinger BandWidth measures the distance between the upper and lower Bollinger Bands, offering a visual representation of market volatility.
Bollinger Bands measure market volatility, while BandWidth indicates the degree of volatility.
When combined with a moving average, it helps to identify periods of market contraction and expansion.
Crossovers between the Bollinger BandWidth and the moving average provide timely alerts for potential entry and exit points, enabling traders to react quickly to changing market conditions.
o Details: Bollinger Bands with customizable lengths, source, and standard deviation. BandWidth calculation and moving average with options for SMA, EMA, SMMA, WMA.
o Usage: Identify periods of high and low volatility using BandWidth and adjust trading strategies accordingly. Use the moving average to smooth out volatility signals.
Customization Options for Tailored Analysis
One of the standout features of this multi-tool indicator is its high level of customization. Traders can toggle each indicator on or off according to their preferences and adjust input parameters such as lengths, colors, and offsets. This flexibility allows traders to tailor the tool to their specific trading style and market conditions, ensuring that they can extract maximum value from the analysis provided.
The Synergy of Combined Indicators: Enhancing Technical Analysis
The real power of this script lies in how these four indicators work together to provide a comprehensive analysis of the market. When combined, they cover various aspects of technical analysis:
• Trend Detection: The Alligator and Ichimoku Cloud work together to confirm trend direction and strength, while the Anchored VWAP highlights critical price levels.
• Reversal Points: Fractals and Ichimoku's Tenkan-sen/Kijun-sen crossovers help identify potential market reversals.
• Volatility and Momentum: The Bollinger BandWidth with Moving Average provides insights into market volatility, which complements the momentum signals from the Ichimoku Cloud.
• Support and Resistance: Fractals and Anchored VWAP pinpoint key levels. They provide clear support and resistance levels, enhancing the trader's ability to make informed decisions.
Advantages to Technical Analysis
• Holistic View: Combines trend, momentum, volatility, and price levels into a single script.
• Enhanced Decision-Making: Multiple confirmation signals increase the reliability of trading signals.
• Flexibility: Customizable settings allow traders to tailor the indicator to their specific needs.
• Efficiency: Reduces the need to switch between multiple charts and indicators, streamlining the analysis process.
How to Use:
1. Access the indicator settings to customize each component according to your trading strategy.
2. Toggle visibility for Fractal and Alligator, Ichimoku Cloud, Anchored VWAP, and Bollinger BandWidth components.
3. Adjust lengths, colors, and calculation methods to match your charting style and preferences.
4. Combine insights from trend analysis, support/resistance levels, and volatility measures for informed trading decisions.
Elevate your trading analysis with this all-in-one tool, merging multiple indicators into a powerful script that offers a comprehensive view of the market.
In Conclusion: An Indispensable Tool for Traders
This multi-tool indicator is designed to cater to the needs of traders who seek a comprehensive and versatile analytical framework. By integrating Fractal & Alligator, Ichimoku Cloud, Anchored VWAP, and Bollinger BandWidth with Moving Average, it provides a holistic view of market conditions, enhancing the trader's ability to identify key trends, support/resistance levels, and potential trading signals. This script is not just a combination of indicators but a thoughtfully crafted tool that delivers actionable insights and helps traders to stay ahead in the financial markets.
Author: drshah93
MA15, MA50 with Support/Resistance, CHoCH, Trend, and Entry/Exita comprehensive indicator that includes moving averages (MA), support and resistance levels, Change of Character (CHoCH) detection, trend identification, and entry/exit signals. Here's a breakdown of its components:
Input Parameters:
ma15_length and ma50_length: Lengths for the moving averages.
lookback: Period for detecting support and resistance levels.
Moving Averages:
ma15 and ma50 are simple moving averages with lengths defined by the user.
Support and Resistance Levels:
The script identifies swing highs and lows to update support and resistance levels.
These levels are plotted using extended lines for visualization.
Change of Character (CHoCH):
CHoCH up is detected when ma15 crosses above ma50.
CHoCH down is detected when ma15 crosses below ma50.
Corresponding signals are plotted on the chart.
Trend Identification:
An uptrend is confirmed when ma15 crosses above ma50 and the close price is above ma50.
A downtrend is confirmed when ma15 crosses below ma50 and the close price is below ma50.
Background colors are used to highlight uptrend (green) and downtrend (red).
Entry and Exit Signals:
Buy signals are generated when CHoCH up occurs, and the price pulls back to support during an uptrend.
Sell signals are generated when CHoCH down occurs, and the price pulls back to resistance during a downtrend.
These signals are plotted on the chart.
Alerts:
Alerts are set up to notify the user when a buy or sell signal is detected.
Bollinger Bands & SuperTrend Strategy by Tradinggg HubThis TradingView Pinescript combines Bollinger Bands and a custom SuperTrend indicator to generate trading signals.
Bollinger Bands:
Bollinger Bands are a popular volatility indicator that consists of three lines:
* Basis: A simple moving average (SMA) of the price (default length is 20 periods).
* Upper Band: The basis plus a standard deviation multiplier (default is 2).
* Lower Band: The basis minus a standard deviation multiplier (default is 2).
These bands expand and contract as volatility increases or decreases, helping traders identify potential overbought and oversold conditions.
SuperTrend:
The SuperTrend indicator is a trend-following tool that aims to identify the direction of the price trend. It uses the Average True Range (ATR) to determine the volatility of the market and sets levels above and below the price to indicate potential trend reversals.
How the Strategy Works:
1. Bollinger Bands: The script plots Bollinger Bands around the price, providing insight into the current volatility and potential overbought or oversold conditions.
2. SuperTrend: The script calculates and plots a custom SuperTrend indicator based on user-defined ATR period and factor. It helps visualize the current trend direction and potential trend reversals.
3. Buy Signals: A buy signal is generated when the following conditions are met:
- The price crosses above the SuperTrend line.
- The price is above the Bollinger Bands basis line.
4. Sell Signals: A sell signal is generated when one of the following conditions is met:
- The price crosses below the SuperTrend line.
- The price is below the Bollinger Bands basis line.
Key Parameters:
* Bollinger Bands Length: The number of periods used to calculate the basis (SMA) of the Bollinger Bands.
* Bollinger Bands Multiplier: The factor used to calculate the standard deviation for the upper and lower bands.
* SuperTrend ATR Period: The number of periods used to calculate the Average True Range (ATR) for the SuperTrend.
* SuperTrend Factor: The factor used to determine the distance of the SuperTrend levels from the price.
Customization:
Feel free to experiment with different parameter values to optimize the strategy for your preferred asset and time frame.
Disclaimer:
This script is intended for educational and informational purposes only. It should not be considered as financial advice. Always conduct thorough research and consider your own risk tolerance before making any trading decisions.
TP RSITP RSI - Integrated Trend, Momentum, and Volatility Analyzer
The TP RSI indicator is an innovative 3-in-1 technical analysis tool that combines RSI, Bollinger Bands, and an EMA ribbon to provide traders with a comprehensive view of trend, momentum, and volatility in a single, easy-to-interpret visual display.
Why This Combination? This mashup addresses three critical aspects of market analysis simultaneously:
Trend identification and strength (EMA ribbon)
Momentum measurement (RSI)
Volatility assessment (Bollinger Bands)
By integrating these components, traders can make more informed decisions based on multiple factors without switching between different indicators.
How Components Work Together:
1. EMA Ribbon (Trend):
10 EMAs form 5 color-coded bands
Blue: Uptrend, Red: Downtrend
Provides a nuanced view of trend strength and potential reversals
2. RSI (Momentum):
Color-coded for quick interpretation
Blue: Upward momentum, Red: Downward momentum, White: Neutral
Position relative to the ribbon offers additional insight
3. Bollinger Bands (Volatility):
Applied to RSI for dynamic overbought/oversold levels
Narrow bands indicate low volatility, suggesting potential breakouts
Unique Aspects and Originality:
Synergistic visual cues: Color coordination between ribbon and RSI
Multi-factor confirmation: Requires alignment of trend, momentum, and volatility for strong signals
Volatility-adjusted momentum: RSI interpreted within the context of Bollinger Bands
How these components work together:
Buy Signal: Blue ribbon with blue RSI outside the ribbon.
Sell Signal: Red ribbon with red RSI outside the ribbon.
Neutral: White RSI or RSI inside the ribbon (not recommended for trading)
Increasing Momentum: RSI crossing above upper Bollinger Band (upward) or below lower Band (downward).
Trend Strength: RSI rejection by the ribbon, while all bands are colored along with the trend direction, identifies a strong trend.
MA Crossover StrategyIt is very simple strategy, in this you will will whenever MA 7 crossover MA 30 you will get the Buy and Sell signal. Best time frame to test this strategy is 4 hour and 1 day. Also you can try 1 hour and 15 min time frame
Premarket Std Dev BandsOverview
The Premarket Std Dev Bands indicator is a powerful Pine Script tool designed to help traders gain deeper insights into the premarket session's price movements. This indicator calculates and displays the standard deviation bands for premarket trading, providing valuable information on price volatility and potential support and resistance levels during the premarket hours.
Key Features
Premarket Focus: Specifically designed to analyze price movements during the premarket session, offering unique insights not available with traditional indicators.
Customizable Length: Users can adjust the averaging period for calculating the standard deviation, allowing for tailored analysis based on their trading strategy.
Standard Deviation Bands: Displays both 1 and 2 standard deviation bands, helping traders identify significant price movements and potential reversal points.
Real-Time Updates: Continuously updates the premarket open and close prices, ensuring the bands are accurate and reflective of current market conditions.
How It Works
Premarket Session Identification: The script identifies when the current bar is within the premarket session.
Track Premarket Prices: It tracks the open and close prices during the premarket session.
Calculate Premarket Moves: Once the premarket session ends, it calculates the price movement and stores it in an array.
Compute Averages and Standard Deviation: The script calculates the simple moving average (SMA) and standard deviation of the premarket moves over a specified period.
Plot Standard Deviation Bands: Based on the calculated standard deviation, it plots the 1 and 2 standard deviation bands around the premarket open price.
Usage
To utilize the Premarket Std Dev Bands indicator:
Add the script to your TradingView chart.
Adjust the Length input to set the averaging period for calculating the standard deviation.
Observe the plotted standard deviation bands during the premarket session to identify potential trading opportunities.
Benefits
Enhanced Volatility Analysis: Understand price volatility during the premarket session, which can be crucial for making informed trading decisions.
Support and Resistance Levels: Use the standard deviation bands to identify key support and resistance levels, aiding in better entry and exit points.
Customizable and Flexible: Tailor the averaging period to match your trading style and strategy, making this indicator versatile for various market conditions.
Multi Timeframe Bull Market Support BandsMulti Timeframe Bull Market Support Bands (BMSB) Indicator
Concept and Functionality:
The Multi Timeframe Bull Market Support Bands (BMSB) indicator is a powerful tool designed to identify and visualize support levels across multiple timeframes simultaneously. The primary concept behind BMSB is to plot dynamic support bands derived from moving averages (MAs) that adapt to the prevailing bullish conditions across different timeframes. These bands act as support and resistance (S/R) levels, providing traders with critical insights into potential price bounce areas and market direction.
Key Features:
Multi Timeframe Analysis:
- The indicator plots bull market support bands for the following timeframes concurrently: Chart (with price prediction), 5 minutes (5m), 15 minutes (15m), 1 hour (1h or 60), 4 hours (4h or 240), Daily (D), 3 Days (3D), and Weekly (W).
- These bands allow traders to see how the price interacts with different support levels, potentially bouncing between them as it moves across timeframes.
Dynamic Band Visibility:
- Bands from shorter timeframes are only displayed in relevant higher timeframes:
- 5m is shown only in timeframes ≤ 15m.
- 15m is shown only in timeframes ≤ 1h.
- 1h is shown only in timeframes ≤ 4h.
- 4h is shown only in timeframes ≤ D.
- D and 3D are shown only in timeframes ≤ W.
- W is always shown.
Customizable Moving Averages:
- The period of the moving averages used to calculate the support bands can be adjusted. Any changes made will be applied across all bands to maintain consistency.
Future Band Prediction:
- If the current timeframe lacks sufficient bars to calculate a moving average, the indicator shows a blue line on the bar where the band will appear. When a new band appears on the current bar, it is highlighted in purple, allowing traders to notice the first value of the new band.
- These new bands can act as magnets, attracting price action. Knowing when a new band will appear helps traders anticipate whether the price will be drawn to the upcoming band or potentially break through it.
Benefits:
- Enhanced Market Insight: By layering support bands from multiple timeframes, traders gain a comprehensive view of market dynamics and potential bounce areas.
- Improved Decision-Making: The ability to see upcoming support bands and how the price interacts with them aids in making more informed trading decisions.
- Customization and Flexibility: Adjustable moving average periods ensure that the indicator can be tailored to fit various trading strategies and market conditions.
The Multi Timeframe Bull Market Support Bands indicator is a versatile and insightful tool for traders aiming to leverage multi-timeframe analysis to enhance their trading strategies and better understand market behavior.
Project Monday Strategy [AlgoAI System]Overview
Project Monday is a sophisticated trading strategy designed for active market participants. This strategy can be used alongside other forms of technical analysis, providing traders with additional tools to enhance their market insights. While it offers a flexible approach for identifying and exploiting market inefficiencies, Project Monday does not fit every market condition and requires adjustments. Its core principles include technical analysis and risk management, all aimed at making informed trading decisions and managing risk effectively.
Features
Project Monday Strategy works in any market and includes many features:
Efficient Trading Presets: Offers ready-to-use presets that allow traders to start efficient trading with one click.
Confirmation Signals: Provides signals to help traders validate trends, emphasizing informed decision-making (not to be followed blindly).
Reversal Signals: Identifies signals to alert traders to potential reversals, encouraging careful analysis (not to be followed blindly).
Adaptability: Can be adjusted to fit different market conditions, ensuring ongoing effectiveness.
Multi-Market Application: Suitable for use across various asset classes including stocks, forex, commodities, and cryptocurrencies.
Integration: Can be used alongside other technical analysis tools for enhanced decision-making.
Position Sizing: Allows traders to determine optimal trade size using backtesting and trading performance dashboard.
Backtesting: Supports historical testing to refine and validate the strategy.
Continuous Monitoring: Includes features for ongoing performance evaluation and strategy adjustments.
Unique Project Monday Strategy Features on TradingView:
Adaptive Position Sizing: Dynamically adjusts the size of each position based on market conditions and predefined risk management criteria, ensuring optimal trade sizing and risk exposure.
Preliminary Position Opening: Allows traders to enter a position in anticipation of a signal confirmation, enabling them to capture early market movements and improve entry points.
Preliminary Position Closing: Enables traders to exit a position before a signal reversal, helping to lock in profits and minimize potential losses during volatile market conditions.
Adjusting Strategy Parameters:
Price Band Inputs:
Project Monday Strategy uses a set of configurable inputs to tailor its behavior according to the trader's preferences. The following are the key inputs for the price band calculations. Signals are not generated when the price remains within these bands.
“Length of Calculation” determines how many historical data points are used in the trend calculation. A shorter “Length of Calculation” will make the Price Band more responsive to recent price changes but may also increase the noise and the likelihood of false signals. A longer “Length of Calculation” will make the Price Band smoother, with less noise, but may cause more lag in reacting to price changes.
“Offset” determines the position of the Gaussian filter, which is used to weight the data points in the trend calculation. The offset is expressed as a fraction of the “Length of Calculation”, with a value between 0 and 1. A higher “Offset” will shift the Gaussian filter closer to the more recent data points, making the Price Band more responsive to recent price changes but potentially increasing noise. A lower “Offset” will shift the Gaussian filter closer to the centre of the window, resulting in a smoother Price Band but potentially introducing more lag.
“Sigma” refers to the standard deviation used in the Gaussian distribution function. This parameter determines the smoothness of the curve and the degree to which data points close to the centre of the “Length of Calculation” are weighted more heavily than those further away. A smaller “Sigma” will result in a narrower Gaussian filter, leading to a more responsive Price Band but with a higher chance of noise and false signals. A larger “Sigma” will result in a wider Gaussian filter, creating a smoother Price Band but with more lag.
Adjust the “Source” inputs to specify which type of price data should be used for strategy calculations and signal generation.
“Width of Band” input determines the multiplier for the band width. A higher value of “Width of Band” makes the price band wider, which generates fewer signals due to the lower probability of the price moving outside the band. Conversely, a lower multiplier makes the band narrower, generating more signals but also increasing the likelihood of false signals.
Direction input:
The Project Monday strategy includes an input to specify the direction of trades, allowing traders to control whether the strategy should consider long positions, short positions, or both. The following input parameter is used for this purpose:
This input parameter allows traders to define the type of positions the strategy will take. It has three options:
Only Long: The strategy will generate signals exclusively for buying or closing short positions, focusing on potential uptrends.
Only Short: The strategy will generate signals exclusively for selling or closing long positions, focusing on potential downtrends.
Both: The strategy will generate signals for both buying (long positions) and selling (short positions), allowing for a more comprehensive trading approach that captures opportunities in both rising and falling markets.
Signals Filter:
The Project Monday strategy includes inputs to filter signals based on higher timeframes and the length of the data used for filtering. These inputs help traders refine the strategy's performance by considering broader market trends and smoothing out short-term fluctuations.
Filter Timeframe input specifies the timeframe used for filtering signals. By choosing a higher timeframe, traders can filter out noise from shorter timeframes and focus on more significant trends. The options range from intraday minutes (e.g., 1, 5, 15 minutes) to daily (1D, 2D, etc.), weekly (1W, 2W, etc.), and monthly (1M) timeframes. This allows traders to align their strategy with their preferred trading horizon and market perspective.
Filter Length input defines the number of data points used for filtering signals on the selected timeframe. A longer filter length will smooth out the data more, helping to identify sustained trends and reduce the impact of short-term fluctuations. Conversely, a shorter filter length will make the filter more responsive to recent price changes, potentially generating more signals but also increasing sensitivity to market noise.
Adaptive Position Size:
The Project Monday strategy incorporates inputs for unique feature Adaptive Position Sizing (APS), which dynamically adjusts the size of trades based on market conditions and specified parameters. This feature helps optimize risk management and trading performance.
Enable Adaptive Position Size: Users can check or uncheck this box to enable or disable the Adaptive Position Size feature. When checked, the strategy dynamically adjusts position sizes based on the defined parameters. This allows traders to scale their positions according to market volatility and other factors, enhancing risk management and potentially improving returns. When unchecked, the strategy will not adjust position sizes adaptively, and positions will remain fixed as per other settings.
“Timeframe for Adaptive Position Size “input specifies the timeframe used for calculating the position size. Options range from intraday minutes (e.g., 30, 60 minutes) to daily (1D, 3D), weekly (1W), and monthly (1M) timeframes. Selecting an appropriate timeframe helps align position sizing calculations with the trader’s overall strategy and market perspective, ensuring that position sizes are adjusted based on relevant market data.
“APS Length” input defines the number of data points used to calculate the adaptive position size. A longer APS length will result in higher position sizes. Conversely, a shorter APS length will result in smaller position sizes.
Anticipatory Trading:
Project Monday Strategy includes inputs for unique feature Anticipatory Trading, allowing traders to open and close positions preliminarily based on certain conditions. This feature aims to provide an edge by taking action before traditional signals confirm.
Enable Preliminary Position Opening: Users can check or uncheck this box to enable or disable Preliminary Position Opening. When enabled, the strategy will open positions based on preliminary conditions before the standard signals are confirmed. This can help traders capitalize on early trend movements and potentially gain a better entry point.
Enable Preliminary Position Closing: Users can check or uncheck this box to enable or disable Preliminary Position Closing. When enabled, the strategy will close positions based on preliminary conditions before the standard exit signals are confirmed. This can help traders lock in profits or limit losses by exiting positions at the early signs of trend reversals.
“Position Size in %” input specifies the position size as a percentage of the trading capital. By setting this value, traders can control the amount of capital allocated to each trade. For example, a risk value of 40% means that 40% of the available trading capital will be used for each anticipatory trade. This helps in managing risk and ensuring that the position size aligns with the trader's risk tolerance and overall strategy.
Usage:
Signal Generation
Long signal indicates a potential uptrend, suggesting either buying or closing a short position. Short signal indicates a potential downtrend, suggesting either selling or closing a long position. Signals are generated on your chart when the price moves beyond a calculated price band based on the current trend.
Signal Filtering
The strategy includes a filtering mechanism based on the current or another timeframe. Filtering works best with higher timeframes. This component calculates the trend on a higher timeframe and predicts the trend, ensuring trades on the current timeframe are only opened if they align with the higher timeframe trend. Setting the right filter timeframe is crucial for obtaining the best signals.
Position Direction
Users can choose the direction of positions to open via the settings box. Options include only long positions, only short positions, or both.
Adaptive Position Size (APS)
Users can enable the Adaptive Position Size feature to adjust position sizes based on trend strength. The strategy evaluates the strength of the current trend based on a higher timeframe. The stronger the trend, the larger the position size for opening a position.
Anticipatory Trading
Users can activate this unique feature to enhance trading decisions. The strategy assesses the likelihood of receiving a main signal. If the opportunity appears strong, it opens a partial position, as specified in the settings box. As the probability of the signal strengthens, the strategy gradually increases the position size.
Exit Strategy
The strategy exits positions based on receiving a reverse signal. Positions opened through “Anticipatory trading” are exited incrementally as each preliminary signal reverses.
By following these steps, traders can implement the strategy to navigate various market scenarios, manage risk, and adjust trading performance over time. Adjusting parameters and monitoring signals diligently are key to adapting the strategy to individual trading styles and market conditions.
You will get
By purchasing the Project Monday strategy, you not only gain access to a cutting-edge system but also receive ready-to-use presets designed to help you start trading immediately and achieve optimal results. Additionally, you benefit from comprehensive support and the option to request custom presets for your desired financial instruments through our dedicated support team, ensuring you have the tools and assistance needed for successful trading.
Risk Disclaimer
This information is not a personalized investment recommendation, and the financial instruments or transactions mentioned in it may not be appropriate for your financial situation, investment objective(s), risk tolerance, and/or expected return. AlgoAI shall not be liable for any losses incurred in the event of transactions or investments in financial instruments mentioned in this information.
NOVO ALGO - Starry SkyGeneral Description:
This indicator provides the possible buy and sell entry with the estimated risk and its corresponding Stop Loss (SL) value.
It has originally developed for 1-min chart and works the best on this time-frame. It may work on the other time-frames, but its profitability has not been checked. So, I would rather recommend to use and apply it only on 1-min chart.
Novelty of the indicator:
Trading in 1-min chart consists of dealing with so many small swings and price variations which are very local and does not affect the general trend even in the 5-min time frame.
We call these small price variations and swings 'Noise'.
The novelty of the indicator is in a parameter which we call the Noise Level and filtering length.
It has been widely used in the Fluid Dynamics and in the Large Eddy Simulations where small noises of flow is removed by a dynamic filter.
In this indicator, we have tried to incorporate the same idea but in the price trend detection.
For the current version, we have used a less tolerance for noise level which results in much less signals compared to the full capacity of the indicator. It roughly sends out around 10-15% of the total confirmed positions.
How it detects the entry positions
To define the entry point, 5 main properties are considered and checked at 3 main time frames including 1-min, 5-min, and 15-min.
These time-frames are selected based on the fact that the target chart is in 1-min.
The 5 properties evaluated are:
1- Smooth Moving Average
2- Bollinger Band
3- Price Regression
4- Candle Pattern
5- Volume
Detailed Description:
Detect a possible entry by Smooth Moving Average:
- At each time frame, 3 lengths are considered to calculate the price moving average values; i.e. short, medium and long lengths.
- The interaction of these MAs, of course, defines the local trend of the price generally. It also provides an idea about the strength of the trend.
- The information calculated at 1-min time frame triggers the possible buy/sell. However, it waits until getting confirmation from the upper time frame (5-min).
- We use the MAs of 15-min time frame to define the general dominant price trend and stop reverse signals when the trend is fully dominant in one direction.
When a possible entry position is triggered by the MAs, at that very price bar we calculate the noise level.
If the noise level is higher than a certain predefined value, then the signal is rejected. Otherwise the signal gets out.
The threshold we use to define if a signal is noisy or not is normalized so it can be used without any concern at different markets.
We believe the calculations and ideas behind the Noise Level is what makes this indicator unique and practical.
We define the noise level parameter based on the following properties:
1- Smooth Moving Average at upper time frame (basically 15-min):
If a possible signal is against the trend of the upper time-frame, the noise level is increased.
If it is in the direction of the upper time-frame trend, then the noise level is untouched.
As already mentioned, different lengths are used. So, as the length of MA is larger its impact on the noise level is considered higher.
2- Bollinger Band of upper time frames (5-min and 15-min)
We employ bollinger bands to define 4 regions.
1. Above the upper band
2. Between middle and upper band
3. Between Lower and middle bands
4. Below the lower band
Then use these 4 regions along with the candle position and price regression.
For example, if the price regression line and candle position are on the same region of BB, then we assume less possibility for reverse or strong trend.
Consequently, we increase the noise level parameter. On the other hand, if they belong to two different region, we assume more possibility for big price change, and so we lower the noise level.
3- Price Regression
We use average price regression line to filter out very small swings in the price. We have also set a criterion of continuity for the regression line that ensures small price variation and swings are left out and filtered.
This will come with the sot of delay in the confirmation of signal, but we found it very important to remove very small swings of price that, for example, consists of only few bars in 1-min chart.
We have also used the position of the regression line along with the regions defied by BBs to evaluate the strength of a newly detected trend.
As candles will always reach to the regression at some point, if a possible entry is detected and the regression line and candles belong to two different region, we assume a strong price change. But if they belong to the same region, we increase the noise level and will assume that it might be a small swing.
4- Candle Pattern
We assumed several rules for candles shape and prices to define if a price movement is strong or it is just a small swing. For example we expect the price to be increase in the last 2-3 candles if we should call a entry for long position.
These set of self-made rules have been extracted by using the visual inspections of the price movement. This has been done much more advanced for long entry position which has resulted in more long signals by the indicator.
5- Volume
We use volume of trades in 1-min, 5-min, and 15-min to evaluate the strength of the trend. We use both absolute and what we call directional volume! The directional volume is the volume with the sign of the candle. This helps us to know if the reverse trend supported by enough volume or it is just a small swing.
For example, if the directional volume of 1-min can surpass the 5-min directional volume, this indicates to us that the importance of 5-min data and its validity is less. So, more focus will be put on the 1-min volume data and the direction it indicates.
Money Management:
Profit calculation: the profit is calculated based on the user defined leverage (default 100x). The user has the option to change the buy/sell leverages to the desired values.
Risk assessment: The user has the option to adjust the risk of the trades. Then the SL value will be calculated for each trade according to the defined risk value.
If a value of zero is set for the risk, then the indicator will define the local SL of each trade based on the pivot point.
As in 1-min trading, the prices are noise and include several small swings and consequently several minor pivot points, we filtered the pivot points that belong to the super small swings detected by our noise level indicator.
Suggestion
I found it more profitable to make the trades risk-free when their profits passes 10% (with leverage 100x). Then, readjust the TP of trades if the trend is in the direction of the position.
I would recommend to observe the performance of the indicator for a day or two, before actually trading with its signals. This will help to have a better understanding of the leverage and risk you may apply.
