Prometheus Fractal-Based TrendThe Fractal-Based Trend indicator is a tool that uses fractals to try and detect which direction an underlying will continue to go.
Calculation:
A bullish fractal occurs when the current bar's high is lower than the previous bar high, and the previous bar's high is higher than both the high from two bars ago and the high from three bars ago.
A bearish fractal happens when the current bar's low is higher than the previous bar's low, and the previous bar's low is lower than both the low from two bars ago and the low from three bars ago.
When a bullish or bearish fractal forms, the corresponding value stored is the previous bar high for a bearish fractal or the previous bar's low for a bullish fractal.
The trade scenarios are when these fractals occur, a green or red label being plotted on the chart for whatever direction it predicts.
Trade examples:
We see on this daily chart of AMEX:SPY that the fractals represent the potential for a directional trade that can last a few days. The more volatile a chart is the more of these fractals we can see.
We see on this 5 minute chart for NASDAQ:TSLA there is way more activity, there are more sporadic candles on a lower time frame, so we can see more anomalies in the price action.
We see this to be true for BITSTAMP:BTCUSD even on a daily time frame, since it is very volatile. There are a lot of these labels plotted.
This is the perspective we aim to provide. We encourage traders to not follow indicators blindly. No indicator is 100% accurate. This one can give you a different perspective of price strength with volatility. We encourage any comments about desired updates or criticism!
Bandas e Canais
XAUUSD Multi-Timeframe Trend AnalyzerOverview
The "XAUUSD Multi-Timeframe Trend Analyzer" is an advanced script designed to provide a comprehensive analysis of the XAUUSD (Gold/US Dollar) trend across multiple timeframes simultaneously. By combining several key technical indicators, this tool helps traders quickly assess the market direction and trend strength for M15, M30, H1, H4, and D1 timeframes.
Multi-Timeframe Analysis: Displays the trend direction and strength across M15, M30, H1, H4, and D1 timeframes, allowing for a complete overview in a single glance.
Comprehensive Indicator Blend: Utilizes six popular technical indicators to determine the trend—Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR.
Trend Strength Scoring: Provides a numerical trend strength score (from -6 to 6) based on the alignment of the indicators, with positive values indicating uptrends and negative values for downtrends.
Visual Table Display: Displays results in a color-coded table (green for uptrend, red for downtrend, yellow for neutral) with a strength score for each timeframe, helping traders quickly assess market conditions.
How It Works
This script calculates the overall trend and its strength for each selected timeframe by analyzing six widely-used technical indicators:
Moving Averages (MA): The script uses a Fast and a Slow Moving Average. When the Fast MA crosses above the Slow MA, it indicates an uptrend. When the Fast MA crosses below, it signals a downtrend.
Relative Strength Index (RSI): The RSI is used to assess momentum. An RSI value above 50 suggests bullish momentum, while a value below 50 suggests bearish momentum.
Moving Average Convergence Divergence (MACD): MACD measures momentum and trend direction. When the MACD line crosses above the signal line, it signals bullish momentum; when it crosses below, it signals bearish momentum.
Bollinger Bands: These measure price volatility. When the price is above the middle Bollinger Band, the script considers the trend to be bullish, and when it's below, bearish.
Directional Movement Index (DMI): The DMI compares positive directional movement (DI+) and negative directional movement (DI-). A stronger DI+ over DI- signals an uptrend and vice versa.
Parabolic SAR: This indicator is used for determining potential trend reversals and setting stop-loss levels. If the price is above the Parabolic SAR, it indicates an uptrend, and if below, a downtrend.
Trend Strength Calculation
The script calculates a trend strength score for each timeframe:
Each indicator adds or subtracts 1 to the score based on whether it aligns with an uptrend or a downtrend.
A score of 6 indicates a Strong Uptrend, with all indicators aligned bullishly.
A score of -6 indicates a Strong Downtrend, with all indicators aligned bearishly.
Intermediate scores (e.g., 2 or -2) indicate Weak Uptrend or Weak Downtrend, suggesting that not all indicators are in agreement.
A score between 1 and -1 indicates a Neutral trend, suggesting uncertainty in the market.
How to Use
Assess Trend Direction and Strength: The table provides an easy-to-read summary of the trend and its strength on different timeframes. Look for timeframes where the strength is high (either 6 for a strong uptrend or -6 for a strong downtrend) to confirm the market’s overall direction.
Use in Conjunction with Other Strategies: This indicator is designed to provide a comprehensive view of the market. Traders should combine it with other strategies, such as price action analysis or candlestick patterns, to further confirm their trades.
Trend Reversal or Continuation: A weak trend (e.g., a strength of 2 or -2) could signal a possible reversal or a trend that has lost momentum. Strong trends (with a strength of 6 or -6) indicate higher confidence in trend continuation.
Multiple Timeframe Confirmation: Look for alignment across multiple timeframes to confirm the strength and direction of the trend before entering trades. For example, if M15, M30, and H1 are all showing a strong uptrend, it suggests a higher probability of the trend continuing.
Customization Options
- Adjustable Indicators: Users can modify the length and parameters of the Moving Averages, RSI, MACD, Bollinger Bands, DMI, and Parabolic SAR to suit their trading style.
- Flexible Timeframes: You can toggle between different timeframes (M15, M30, H1, H4, D1) to focus on the intervals most relevant to your strategy.
Ideal For
- Traders looking for a detailed, multi-timeframe trend analysis tool for XAUUSD.
- Traders who rely on trend-following strategies and need confirmation across multiple timeframes.
- Those who prefer a multi-indicator approach to avoid false signals and improve the accuracy of their trades.
Disclaimer
This indicator is for informational and educational purposes only. It is recommended to combine this with proper risk management strategies and your own analysis. Past performance does not guarantee future results. Always perform your own due diligence before making trading decisions.
STANDARD DEVIATION INDICATOR BY WISE TRADERWISE TRADER STANDARD DEVIATION SETUP: The Ultimate Volatility and Trend Analysis Tool
Unlock the power of STANDARD DEVIATIONS like never before with the this indicator, a versatile and comprehensive tool designed for traders who seek deeper insights into market volatility, trend strength, and price action. This advanced indicator simultaneously plots three sets of customizable Deviations, each with unique settings for moving average types, standard deviations, and periods. Whether you’re a swing trader, day trader, or long-term investor, the STANDARD DEVIATION indicator provides a dynamic way to spot potential reversals, breakouts, and trend-following opportunities.
Key Features:
STANDARD DEVIATIONS Configuration : Monitor three different Bollinger Bands at the same time, allowing for multi-timeframe analysis within a single chart.
Customizable Moving Average Types: Choose from SMA, EMA, SMMA (RMA), WMA, and VWMA to calculate the basis of each band according to your preferred method.
Dynamic Standard Deviations: Set different standard deviation multipliers for each band to fine-tune sensitivity for various market conditions.
Visual Clarity: Color-coded bands with adjustable thicknesses provide a clear view of upper and lower boundaries, along with fill backgrounds to highlight price ranges effectively.
Enhanced Trend Detection: Identify potential trend continuation, consolidation, or reversal zones based on the position and interaction of price with the three bands.
Offset Adjustment: Shift the bands forward or backward to analyze future or past price movements more effectively.
Why Use Triple STANDARD DEVIATIONS ?
STANDARD DEVIATIONS are a popular choice among traders for measuring volatility and anticipating potential price movements. This indicator takes STANDARD DEVIATIONS to the next level by allowing you to customize and analyze three distinct bands simultaneously, providing an unparalleled view of market dynamics. Use it to:
Spot Volatility Expansion and Contraction: Track periods of high and low volatility as prices move toward or away from the bands.
Identify Overbought or Oversold Conditions: Monitor when prices reach extreme levels compared to historical volatility to gauge potential reversal points.
Validate Breakouts: Confirm the strength of a breakout when prices move beyond the outer bands.
Optimize Risk Management: Enhance your strategy's risk-reward ratio by dynamically adjusting stop-loss and take-profit levels based on band positions.
Ideal For:
Forex, Stocks, Cryptocurrencies, and Commodities Traders looking to enhance their technical analysis.
Scalpers and Day Traders who need rapid insights into market conditions.
Swing Traders and Long-Term Investors seeking to confirm entry and exit points.
Trend Followers and Mean Reversion Traders interested in combining both strategies for maximum profitability.
Harness the full potential of STANDARD DEVIATIONS with this multi-dimensional approach. The "STANDARD DEVIATIONS " indicator by WISE TRADER will become an essential part of your trading arsenal, helping you make more informed decisions, reduce risks, and seize profitable opportunities.
Who is WISE TRADER ?
Wise Trader is a highly skilled trader who launched his channel in 2020 during the COVID-19 pandemic, quickly building a loyal following. With thousands of paid subscribed members and over 70,000 YouTube subscribers, Wise Trader has become a trusted authority in the trading world. He is known for his ability to navigate significant events, such as the Indian elections and stock market crashes, providing his audience with valuable insights into market movements and volatility. With a deep understanding of macroeconomics and its correlation to global stock markets, Wise Trader shares informed strategies that help traders make better decisions. His content covers technical analysis, trading setups, economic indicators, and market trends, offering a comprehensive approach to understanding financial markets. The channel serves as a go-to resource for traders who want to enhance their skills and stay informed about key market developments.
Super GBPJPY 30 (ausama raid)
### Strategy Description: Super GBPJPY 30 (ausama raid)
FX:GBPJPY
**Overview**:
The "Super GBPJPY 30" trading strategy utilizes SuperTrend indicators to identify overall trends and entry/exit signals specifically on the GBP/JPY currency pair, operating on a 30-minute timeframe. This strategy aims to enhance profit opportunities by leveraging financial leverage and advanced take-profit settings.
**Strategy Settings**:
1. **Leverage**: Users can specify an appropriate leverage (1 or higher).
2. **Enable Advanced Take Profit**: This allows users to activate or deactivate the advanced take profit level.
3. **Show Monthly Performance Table**: Displays the strategy's performance across previous months and years.
**Timeframe**:
- The strategy is designed for the **GBP/JPY currency pair** on the **30-minute timeframe**, providing a balance between timely entries and risk management.
**Entry and Exit Indicators**:
- **Overall Trend Indicator**: The overall trend is determined using the SuperTrend indicator, with specific settings for the ATR length and factor used.
- **Entry Indicator**: A second SuperTrend indicator is employed to signal entry and exit points, improving decision-making accuracy.
### How It Works:
1. **Buy Signals**: A buy order is placed when the overall trend is bullish, and the entry indicator gives a buy signal.
2. **Sell Signals**: A sell order is executed when the overall trend is bearish, and the entry indicator provides a sell signal.
3. **Trade Management**:
- Half of the position can be closed when a specific profit level is reached.
- The position will be exited if the entry indicator's trend changes.
### Chart Illustrations:
- **Indicator Lines**: The indicator lines are displayed on the chart, with trends indicated in blue (bullish) or red (bearish).
- **Candle Colors**: The candle colors change based on the entry indicator's signals, making it easier to visualize current trends.
### Performance:
- **Performance Table**: The current year's monthly performance is displayed, allowing users to view past results.
- **Profit Percentage**: The strategy offers good risk management by defining the profit percentage for each trade.
**Note**: Ensure to test the strategy on a demo account before applying it in the real market.
---
Session High Low 2024
Overview of the Code:
Input for Session Times:
You set up inputs for the start and end times of the trading session, allowing you to customize them as needed.
Time Range Function:
A function isTimeInRange checks whether the current time falls within the specified session start and end times.
initialize High and Low:
indicator initialize session high, low, and their corresponding labels and lines.
Tracking Session High and Low:
Within the specified time range, continuously update session1High and session1Low based on the highest and lowest prices encountered.
Time of Session High/Low:
The High_Time and Low_Time are tracked using the ta.valuewhen() function to capture the exact times when the session high and low occur.
Notes Creation:
You format the high and low values along with their timestamps to create notes that will be displayed alongside the lines.
Drawing Lines and Labels:
After the session ends, you check if there is a new session high or low and draw lines and labels accordingly. If a line or label already exists, you delete it before drawing a new one.
Resetting for Next Session:
At the end of the session, the high and low values are reset for the next session.
Suggestions for Improvement:
Dynamic Line Extensions:
Clear Variable Names Used in Code:
Consider using more descriptive names for variables like Entry_Point and SL_Point to make the code easier to understand.
Commenting:
Although the code is well-commented, always ensure the comments explain the "why" behind the code rather than just the "what."
Example Output:
The output will show the highest and lowest prices during the specified session times and the times they occurred formatted correctly. This output is useful for quick reference during trading and aids in making informed decisions.
Added functionality tool tip Note:
Added a tooltip Note to Get All information of Session High Low & Range.
If you need further modifications, enhancements, or specific functionalities added to this script, please let me know!
Leonid's Bitcoin Full Cycle Simple SMA IndicatorThis is a straight-forward and customizable indicator to track Bitcoin cycles, specifically used for helping investors understand where to buy and sell. This is done by using a two year SMA period as the base calculation. With that calculation you create lower and upper bounds for bull market peaks and bear market bottoms.
The novel idea here is that you can customize the SMA "strength" for both the upper and lower bounds as alpha decays over time and price get's less volatile with adoption increasing. The multiples are customizable for both the upper and lower bounds along with a mid-line that will adjust based on the settings input.
Indicators don't always have to rely on crazy math or outlandish ideas to be useful, sometimes even the simplest of inputs can give investors (especially those that are new) a great base case for their strategy. Something being simple does not diminish the idea or strength behind the data.
How to use this indicator: This script must be used on INDEX:BTCUSD (Bitcoin All-Time History Index) with the y-axis being set to Logarithmic scale.
Details & how to interpret: The price is colored green when Bitcoin enters a "value zone" meaning it is heavily oversold and likely near a bottom for the bear market cycle. The price is colored red when Bitcoin enters an "overbought zone" meaning it is heavily overbought and is likely near a top for the bull market cycle.
Along with the upper and lower bound I have plotted a mid-line (in orange) to establish a neutral zone which helps depict what phase of the cycle we're in (under mid-line = bearish/accumulation phase, over mid-line = bullish/distribution phase).
The inputs for the upper and lower bound are customizable and will need to be adjusted over time as alpha decay will occur as time goes on. Currently the numbers are as follows:
0.2 for the lower bound
4.675 for the upper bound
Both inputs can be modified depending on your risk tolerance. Mathematically it is safe to assume these numbers will decrease as time goes on and volatility during cycle peaks & troughs is reduced.
I've also plotted an upper bound "heat zone" which is shaded in green, this area is great for signaling when you should be preparing to begin taking profits. It takes the upper bound and subtracts the lower bound to derive the band.
All the colors are customizable and this indicator is best used on a line chart but can be customized to use on a bar chart/candlestick as well.
Simple Moving Averages are a very basic indicator but are often extremely powerful because the majority of traders/investors are looking at such levels which creates a psychological/herd effect. Another good example is the law of round numbers.
Regardless this script can be adapted with EMAs or additional standard deviations if necessary. If you have any questions or concerns please don't hesitate to message me.
Neutral Price Action Zones with Horizontal LinesIf the upper shadow of the red candle is longer than its lower shadow and the upper shadow of the green candle is longer than its lower shadow, it indicates that the upper and lower wicks of the red and green candles are equal. In this case, it means that the price does not show a clear trend in a specific direction, and the price movement is neutral. This situation usually suggests market uncertainty or that the price is moving within a horizontal range.
Red and Green Candle Check: The status of the candles is determined.
Shadow Calculations: The upper and lower shadows of the red and green candles are calculated.
Horizontal Range Check: The horizontal range condition is checked for the red and green candles.
Background Color: If the condition is met, the background is marked in gray.
Horizontal Line: When the horizontal range condition is met, a horizontal line is drawn.
Fibonacci BandsDescription
This indicator dynamically calculates Fibonacci retracement levels based on the highest high and lowest low over a specified lookback period. The key Fibonacci levels (0.236, 0.382, 0.5, 0.618, and 0.786) are plotted on the chart, with shaded areas between these levels for visual guidance.
How it works
The script computes the highest high (hh) and the lowest low (ll) over the defined length.
It calculates the price range (delta) as the difference between the highest high and the lowest low.
Fibonacci levels are then determined using the formula: ℎℎ − (delta × Fibonacci ratio)
Each Fibonacci level is then plotted as a line with a specific color.
Key Features
Customizable Length: Users can adjust the lookback period to suit their trading strategy.
Multiple Fibonacci Levels: Includes common Fibonacci retracement levels, providing traders with a comprehensive view of potential support and resistance areas.
Visual Fillings: The script includes customizable shading between levels, which helps traders quickly identify key zones (like the "Golden Zone" between 0.5 and 0.618).
Unique Points
Fibonacci Focus: This script is specifically designed around Fibonacci retracement levels, which are popular among technical traders for identifying potential reversal points.
Dynamic Range Calculation: The use of the highest high and lowest low within a user-defined period offers a dynamic approach to adapting to changing market conditions.
How to use it
Adjust the length parameter (default is 60) to determine how many bars back the indicator will calculate the highest high and lowest low. A longer length may provide a broader perspective of price action, while a shorter length may react more quickly to recent price changes.
Observe the plotted Fibonacci levels: 0.236, 0.382, 0.5, 0.618, and 0.786. These levels often act as potential support and resistance points. Pay attention to how price interacts with these levels.
When the price approaches a Fibonacci level, consider it a potential reversal point. The filled areas between the Fibonacci levels indicate zones where price might consolidate or reverse. The "Golden Zone" (between 0.5 and 0.618) is particularly significant; many traders watch this area closely for potential entry points in an uptrend or exit points in a downtrend.
G-Channel with EMA StrategyThe G-Channel is a custom channel with an upper (a), lower (b), and average (avg) line. These lines are dynamically calculated based on the current and previous closing prices, using the length input (default 100) to smooth the values:
Upper Line (a): This is the maximum value of the current price or the previous upper value, adjusted by the difference between the upper and lower lines divided by the length.
Lower Line (b): This is the minimum value of the current price or the previous lower value, similarly adjusted by the difference between the upper and lower lines.
The average line (avg) is simply the midpoint between the upper and lower lines. The G-Channel signals trend direction:
Bullish Condition: The system looks for the condition when the price crosses over the lower line (b), indicating a potential upward trend.
Bearish Condition: When the price crosses under the upper line (a), it signals a potential downward trend.
Exponential Moving Average (EMA)
The strategy also incorporates an EMA with a default length of 200. The EMA serves as a trend filter to determine whether the market is trending upward or downward:
Price below EMA: Indicates a bearish trend.
Price above EMA: Indicates a bullish trend.
Buy/Sell Conditions
The strategy generates buy or sell signals based on the interaction between the G-Channel signals and the price relative to the EMA:
Buy Signal: The strategy triggers a buy when:
A bullish condition (recent crossover of price over the lower G-Channel line) is detected.
The price is below the EMA, indicating that despite the recent bullish signal, the market might still be undervalued or in a temporary downturn.
Sell Signal: The strategy triggers a sell when:
A bearish condition (recent crossunder of price below the upper G-Channel line) is detected.
The price is above the EMA, suggesting that the market might be overextended and poised for a downturn.
Visualization
The strategy plots:
The upper, lower, and average lines of the G-Channel, with the average line colored based on bullish (green) or bearish (red) conditions.
The EMA (orange) line to provide context on the general trend direction.
Markers for Buy and Sell signals to visually indicate the strategy's entry points.
Strategy Execution
When a buy or sell signal is detected:
Buy Entry: If the bullish condition and price < EMA condition are met, a long (buy) position is opened.
Sell Entry: If the bearish condition and price > EMA condition are met, a short (sell) position is opened.
Purpose
This strategy aims to catch price reversals at critical points (when the price moves through the G-Channel) while filtering trades using the EMA to avoid entering during unfavorable market trends.
Dynamic Range EvaluatorThe Dynamic Range Evaluator script or indicator analyzes the dynamic movement of price ranges in the market, offering several key advantages:
---------------------------------------------------------------------------------
1. Identifies Market Volatility
It detects when price ranges expand or contract, helping traders gauge the market's current volatility—whether it is highly volatile (wide range) or calm (narrow range).
2. Adapts Strategies Based on Market Conditions
The script allows traders to implement suitable strategies:
Use Breakout strategies when the range expands.
Use Mean Reversion strategies when the price moves within a tight range.
3. Accurate Entry and Exit Points
By identifying dynamic price zones, it helps spot potential reversals or areas near key support/resistance levels, reducing the risk of poor entry decisions in unclear market phases.
4. Versatile Across Market Phases
Whether in a bullish, bearish, or sideways market, the Dynamic Range Evaluator adjusts smoothly to shifting conditions, minimizing the need for frequent modifications.
5. Effective Across Multiple Time Frames
It works well on both lower and higher time frames. For instance:
On lower time frames, it helps identify short-term trade entries/exits.
On higher time frames, it assists with analyzing broader trends.
6. Customizable Dynamic Parameters
Traders can modify range thresholds or evaluation criteria to suit specific asset classes or currency pairs, providing flexibility and improved accuracy.
---------------------------------------------------------------------------------
Use Cases
Combine with ATR (Average True Range) to identify optimal average ranges.
Align Take Profit / Stop Loss levels with current market ranges.
Integrate with Breakout Strategies by monitoring for range expansion and waiting for key support/resistance breakouts.
Wolfpack Elite - Liquidation Sniper - by 9123416916### Strategy: **Wolfpack Elite - Liquidation Sniper by Md Arif**
**Overview:**
This is a technical analysis strategy designed for trading, which combines two popular technical indicators: **Relative Strength Index (RSI)** and **Moving Averages (MA)**. It identifies potential buy (long) and sell (short) signals based on oversold and overbought conditions in the market, along with crossovers between two moving averages. The strategy also incorporates a risk management system by setting **take profit** and **stop loss** levels to protect against large losses and lock in gains.
---
**Key Components:**
1. **Indicators Used:**
- **RSI (Relative Strength Index):**
- Measures the speed and change of price movements.
- Used to identify **overbought** (above 70) and **oversold** (below 30) conditions.
- **Short and Long Moving Averages:**
- The strategy uses two simple moving averages (SMA) to detect trends and potential entry points.
- Short MA (9-period) and Long MA (21-period) are used for crossovers.
2. **Entry Signals:**
- **Bullish Entry (Long Position):**
- Triggered when the RSI falls below the oversold level (30) and the **short MA** crosses above the **long MA** (bullish crossover).
- This suggests that the market might be oversold and ready to rebound.
- **Bearish Entry (Short Position):**
- Triggered when the RSI rises above the overbought level (70) and the **short MA** crosses below the **long MA** (bearish crossover).
- This suggests that the market might be overbought and due for a correction.
3. **Risk Management:**
- **Take Profit and Stop Loss:**
- The strategy calculates the take profit and stop loss levels as percentages of the entry price.
- **Take Profit:** Set at 5% above the entry price for long positions and 5% below the entry price for short positions.
- **Stop Loss:** Set at 3% below the entry price for long positions and 3% above the entry price for short positions.
4. **Position Sizing:**
- The position size is calculated as a percentage of the trader's total equity (default set to 100% of equity).
5. **Exit Conditions:**
- **For Long Positions:**
- Exit the trade if the price hits the take profit level (5% above entry) or the stop loss level (3% below entry).
- **For Short Positions:**
- Exit the trade if the price hits the take profit level (5% below entry) or the stop loss level (3% above entry).
6. **Visualization:**
- The strategy visually plots the short and long moving averages on the chart.
- It also marks **bullish crossovers** with green upward triangles and **bearish crossovers** with red downward triangles, making it easier to spot potential entry points.
---
**How the Strategy Works:**
- The strategy starts by calculating the **RSI** and **moving averages**.
- It waits for specific conditions to trigger buy or sell signals. If the RSI indicates that the market is oversold and a bullish crossover occurs, it initiates a **long trade**. Similarly, if the RSI shows an overbought condition and a bearish crossover occurs, it opens a **short trade**.
- Once a trade is open, the strategy monitors the price and automatically exits the trade if the price reaches the set take profit or stop loss level.
---
This strategy is designed for active traders who seek to capitalize on short-term price movements and want clear entry/exit points with built-in risk management.
Shark Zone Day Machine V17### **Strategy Overview: Shark Zone Day Machine V14**
The "Shark Zone Day Machine V14" is a daily breakout trading strategy designed for traders who wish to capitalize on intraday price movements based on key levels from the previous day. The strategy operates on a daily timeframe, allowing traders to execute precise entries and manage their trades effectively. It includes both long and short trading capabilities, with user-friendly inputs for customization.
### **Key Features:**
1. **Daily Breakout Logic**:
- **Long Position**: The strategy opens a long position when the price breaks above the previous day's high, indicating potential upward momentum.
- **Short Position**: The strategy opens a short position when the price drops below the previous day's low, signaling possible downward pressure.
2. **Stop Loss Management**:
- The strategy uses a fixed stop loss of 50 points, which is set at the previous day's low for long trades and 50 points above the entry for short trades.
3. **Spread Adjustment**:
- Includes an adjustable spread input to account for bid-ask differences, ensuring entries and exits are accurately calculated.
4. **Activation Controls**:
- Traders can easily enable or disable long and short trading strategies independently using input toggles.
5. **Custom Alert Integration**:
- The strategy includes alert messages configured to work seamlessly with Pine Connector. These alerts can be set up to automatically send trade signals to MT4, enabling a fully automated trading experience.
### **Automated Trading Setup via Pine Connector to MT4**
To implement this strategy for automated trading between TradingView and MT4 using Pine Connector, follow these steps:
1. **Apply the Script on TradingView**:
- Load the "Shark Zone Day Machine V14" script onto your TradingView chart and adjust the input parameters as needed, including activation toggles, spread, and stop loss settings.
2. **Set Up Alerts on TradingView**:
- Click on the `Alerts` button in TradingView.
- Under "Condition," select the strategy and choose "Any alert() function call."
- For each alert, use the predefined messages:
- **Long Entry Alert**: `"BUY_SIGNAL_7683370025173"`
- **Long Exit Alert**: `"BUY_EXIT_SIGNAL_7683370025173"`
- **Short Entry Alert**: `"SELL_SIGNAL_7683370025173"`
- **Short Exit Alert**: `"SELL_EXIT_SIGNAL_7683370025173"`
- Ensure the alert actions are set to "Notify on app" and "Show pop-up" for immediate feedback.
3. **Configure Pine Connector**:
- Pine Connector should be installed and set up on your MT4 platform. Ensure the Pine Connector ID matches the alert messages from the TradingView script.
- Configure your MT4 EA to recognize these signals and execute trades accordingly. For example, a `"BUY_SIGNAL_7683370025173"` alert from TradingView will instruct MT4 to place a buy order.
4. **Test the Setup**:
- It’s essential to test the automation in a demo account first. Monitor how trades are opened and closed on MT4 when alerts are triggered from TradingView.
- Adjust the parameters on TradingView if needed for optimal performance and minimal slippage.
### **Benefits of Automated Trading with This Strategy**:
- **Consistency**: Eliminates the potential for human error by executing trades precisely as per the strategy’s logic.
- **Speed**: Rapid response to breakout conditions, ensuring you capture opportunities as soon as they arise.
- **Flexibility**: The ability to adjust stop loss, spread, and trading size allows for quick adaptation to different market conditions.
### **Important Notes**:
- Ensure your TradingView account remains active and has real-time data enabled for accurate alerts.
- Verify that Pine Connector and MT4 settings are configured correctly to prevent missed trades or incorrect lot sizes.
- Be mindful of market conditions, as breakout strategies may perform differently during high-volatility periods.
By following this guide, you'll be able to leverage the "Shark Zone Day Machine V14" strategy to its full potential, automating your trades and optimizing your trading efficiency.
E9 Bollinger RangeThe E9 Bollinger Range is a technical trading tool that leverages Bollinger Bands to track volatility and price deviations, along with additional trend filtering via EMAs.
The script visually enhances price action with a combination of trend-filtering EMAs, bar colouring for trend direction, signals to indicate potential buy and sell points based on price extension and engulfing patterns.
Here’s a breakdown of its key components:
Bollinger Bands: The strategy plots multiple Bollinger Band deviations to create different price levels. The furthest deviation bands act as warning signs for traders when price extends significantly, signaling potential overbought or oversold conditions.
Bar Colouring: Visual bar colouring is applied to clearly indicate trend direction: green bars for an uptrend and red bars for a downtrend.
EMA Filtering: Two EMAs (50 and 200) are used to help filter out false signals, giving traders a better sense of the underlying trend.
This combination of signals, visual elements, and trend filtering provides traders with a systematic approach to identifying price deviations and taking advantage of market corrections.
Brief History of Bollinger Bands
Bollinger Bands were developed by John Bollinger in the early 1980s as a tool to measure price volatility in financial markets. The bands consist of a moving average (typically 20 periods) with upper and lower bands placed two standard deviations away. These bands expand and contract based on market volatility, offering traders a visual representation of price extremes and potential reversal zones.
John Bollinger’s work revolutionized technical analysis by incorporating volatility into trend detection. His bands remain widely used across markets, including stocks, commodities, and cryptocurrencies. With the ability to highlight overbought and oversold conditions, Bollinger Bands have become a staple in many trading strategies.
Multi Deviation VWAP [OmegaTools]The Multi Deviation VWAP is an original variation of the traditional VWAP indicator, designed to enhance your trading experience by providing more precise market insights. While the conventional VWAP calculates a single price level based on volume and price over a given period, the Multi Deviation VWAP goes a step further by introducing dynamic upper and lower bands that adapt to market conditions. These bands give traders a more comprehensive understanding of volatility and price action, making it an ideal tool for various trading strategies, especially for identifying potential price reversals or trend continuations.
Key Features:
Separate Calculation of Deviation Bands:
Unlike traditional VWAP bands, where both the upper and lower bands are symmetrically calculated using a single deviation value, the Multi Deviation VWAP calculates the deviations independently for the upper and lower bands. This allows for a more accurate reflection of market dynamics.
The upper deviation band is based on the average distance of closing prices above the VWAP, while the lower deviation band considers the average distance of closing prices below the VWAP.
This separation provides a more tailored approach, adapting to whether the market is showing bullish or bearish momentum, as opposed to a fixed, equal deviation in both directions.
Internal and External Bands:
Two sets of deviation bands are plotted: Internal Bands and External Bands, controlled by user inputs (factorone for internal and factortwo for external). These bands offer multiple levels of support and resistance based on market volatility.
The Internal Bands are closer to the VWAP and act as the first level of support/resistance, suitable for short-term or tighter trading ranges.
The External Bands are further from the VWAP and capture more significant market swings, useful for identifying larger trends or setting wider stop-losses.
Timeframe Flexibility:
The indicator allows traders to select the desired timeframe (1D by default) over which the VWAP and its deviation bands are calculated. This flexibility enables users to adapt the indicator to different trading styles, from intraday scalping to longer-term trend analysis.
Visual Enhancements:
Bullish and Bearish Colors: The bands are color-coded for quick visual interpretation. Bullish bands (lower deviations) are colored blue, while bearish bands (upper deviations) are colored red, making it easy to differentiate between market conditions at a glance.
Plot Fill: The area between the internal and external bands is shaded, providing clear visual zones of potential price containment, aiding in understanding the market structure and anticipating price movements.
How It Differs from a Standard VWAP:
Traditional VWAP provides a single price line that represents the volume-weighted average price over a given period, often used to identify general price trends.
In contrast, the Multi Deviation VWAP introduces upper and lower bands calculated separately based on price deviations above and below the VWAP, giving a more nuanced view of market volatility.
Symmetrical bands in traditional VWAP may not always accurately reflect the market's true behavior, especially in trending markets, where upward and downward price movements aren't always equal. By splitting the deviation calculations, this tool provides a more dynamic and realistic view of price action, adapting to whether the market is showing stronger upward or downward pressure.
Use Cases:
Trend Identification: The VWAP line acts as a central trend line, while the deviation bands offer levels of potential support and resistance. When price moves beyond the external bands, it may indicate overextension and potential reversal.
Volatility Trading: Traders can use the internal and external bands to set dynamic take-profit or stop-loss levels, allowing for flexible risk management depending on market conditions.
Range Trading: In consolidating markets, the Multi Deviation VWAP can help traders identify optimal buy and sell zones as the price oscillates between the upper and lower bands.
By incorporating independent deviation bands, this indicator provides traders with a more responsive tool that reflects market behavior more accurately, helping them make informed trading decisions with enhanced precision.
Zero Lag Trend Signals (MTF) [AlgoAlpha]Zero Lag Trend Signals 🚀📈
Ready to take your trend-following strategy to the next level? Say hello to Zero Lag Trend Signals , a precision-engineered Pine Script™ indicator designed to eliminate lag and provide rapid trend insights across multiple timeframes. 💡 This tool blends zero-lag EMA (ZLEMA) logic with volatility bands, trend-shift markers, and dynamic alerts. The result? Timely signals with minimal noise for clearer decision-making, whether you're trading intraday or on longer horizons. 🔄
🟢 Zero-Lag Trend Detection : Uses a zero-lag EMA (ZLEMA) to smooth price data while minimizing delay.
⚡ Multi-Timeframe Signals : Displays trends across up to 5 timeframes (from 5 minutes to daily) on a sleek table.
📊 Volatility-Based Bands : Adaptive upper and lower bands, helping you identify trend reversals with reduced false signals.
🔔 Custom Alerts : Get notified of key trend changes instantly with built-in alert conditions.
🎨 Color-Coded Visualization : Bullish and bearish signals pop with clear color coding, ensuring easy chart reading.
⚙️ Fully Configurable : Modify EMA length, band multiplier, colors, and timeframe settings to suit your strategy.
How to Use 📚
⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Set your preferred EMA length and band multiplier. Choose your desired timeframes for multi-frame trend monitoring.
💻 Watch the Table & Chart : The top-right table dynamically updates with bullish or bearish signals across multiple timeframes. Colored arrows on the chart indicate potential entry points when the price crosses the ZLEMA with confirmation from volatility bands.
🔔 Enable Alerts : Configure alerts for real-time notifications when trends shift—no need to monitor charts constantly.
How It Works 🧠
The script calculates the zero-lag EMA (ZLEMA) by compensating for data lag, giving traders more responsive moving averages. It checks for volatility shifts using the Average True Range (ATR), multiplied to create upper and lower deviation bands. If the price crosses above or below these bands, it marks the start of new trends. Additionally, the indicator aggregates trend data from up to five configurable timeframes and displays them in a neat summary table. This helps you confirm trends across different intervals—ideal for multi-timeframe analysis. The visual signals include upward and downward arrows on the chart, denoting potential entries or exits when trends align across timeframes. Traders can use these cues to make well-timed trades and avoid lag-related pitfalls.
MSTR-BTC PremiumThis custom indicator, “MSTR-BTC Premium with High, Average, and Low Levels,” helps you analyze the premium of MicroStrategy Incorporated’s (MSTR) stock price in relation to its Bitcoin holdings. By comparing the market capitalization of MSTR to the value of its Bitcoin holdings (using BTCUSD from Coinbase), this indicator calculates a premium that reflects how much the stock price deviates from its Bitcoin-related value.
Key Features:
• Premium Line: The primary feature is the “Premium,” which shows the ratio of MSTR’s market cap relative to its Bitcoin holdings and the BTCUSD price.
• High, Average, and Low Levels: The indicator calculates the highest, lowest, and average premium values over a user-defined period (default is 14 bars). These levels help identify overbought and oversold conditions relative to the stock’s Bitcoin valuation.
• Visual Shading: The area between the premium line and the average is shaded, making it easier to see when the premium is above or below its typical level. Optional shading is also available between the high and low levels to visualize the price range.
How to Use:
• Overbought/Undervalued Conditions: When the premium line rises significantly above the average, it may indicate that MSTR stock is overbought compared to its Bitcoin holdings. Conversely, when the premium falls below the average or approaches the low line, it might signal an undervalued opportunity.
• Trend and Mean Reversion: The high and low lines provide insight into extreme levels. Monitoring these alongside the average can assist in identifying potential mean reversion trades.
Customization:
• Calculation Period: The period for calculating the high, low, and average values can be adjusted to suit your trading strategy (default is 14).
• Shading Options: By default, the area between the premium and its average is shaded. You can enable or disable the shading between the high and low as needed.
This indicator is particularly useful for traders and investors following MicroStrategy (MSTR) and its Bitcoin strategy, providing a deeper understanding of the stock’s relationship to its underlying Bitcoin assets. It can assist in identifying key levels for decision-making based on deviations from historical norms.
How to Add the Indicator:
1. Adjust the calculation period (default is 14) to customize the analysis according to your preferred timeframe.
2. Watch for significant deviations of the premium line from its average to identify potential overbought/oversold conditions.
3. Use the high and low levels to help gauge extreme premium values and possible mean reversion opportunities.
Enjoy the analysis and make more informed decisions with the MSTR-BTC Premium Indicator!
This description should be clear and informative for anyone considering using your indicator. It highlights the functionality, purpose, and customization options in a straightforward way. Let me know if you’d like to tweak or adjust any part of it!
[3Commas] Signal BuilderSignal Builder is a tool designed to help traders create custom buy and sell signals by combining multiple technical indicators. Its flexibility allows traders to set conditions based on their specific strategy, whether they’re into scalping, swing trading, or long-term investing. Additionally, its integration with 3Commas bots makes it a powerful choice for those looking to automate their trades, though it’s also ideal for traders who prefer receiving alerts and making manual decisions.
🔵 How does Signal Builder work?
Signal Builder allows users to define custom conditions using popular technical indicators, which, when met, generate clear buy or sell signals. These signals can be used to trigger TradingView alerts, ensuring that you never miss a market opportunity. Additionally, all conditions are evaluated using "AND" logic, meaning signals are only activated when all user-defined conditions are met. This increases precision and helps avoid false signals.
🔵 Available indicators and recommended settings:
Signal Builder provides access to a wide range of technical indicators, each customizable to popular settings that maximize effectiveness:
RSI (Relative Strength Index): An oscillator that measures the relative strength of price over a specific period. Traders typically configure it with 14 periods, using levels of 30 (oversold) and 70 (overbought) to identify potential reversals.
MACD (Moving Average Convergence Divergence): A key indicator tracking the crossover between two moving averages. Common settings include 12 and 26 periods for the moving averages, with a 9-period signal line to detect trend changes.
Ultimate Oscillator: Combines three different time frames to offer a comprehensive view of buying and selling pressure. Popular settings are 7, 14, and 28 periods.
Bollinger Bands %B: Provides insight into where the price is relative to its upper and lower bands. Standard settings include a 20-period moving average and a standard deviation of 2.
ADX (Average Directional Index): Measures the strength of a trend. Values above 25 typically indicate a strong trend, while values below suggest weak or sideways movement.
Stochastic Oscillator: A momentum indicator comparing the closing price to its range over a defined period. Popular configurations include 14 periods for %K and 3 for %D smoothing.
Parabolic SAR: Ideal for identifying trend reversals and entry/exit points. Commonly configured with a 0.02 step and a 0.2 maximum.
Money Flow Index (MFI): Similar to RSI but incorporates volume into the calculation. Standard settings use 14 periods, with levels of 20 and 80 as oversold and overbought thresholds.
Commodity Channel Index (CCI): Measures the deviation of price from its average. Traders often use a 20-period setting with levels of +100 and -100 to identify extreme overbought or oversold conditions.
Heikin Ashi Candles: These candles smooth out price fluctuations to show clearer trends. Commonly used in trend-following strategies to filter market noise.
🔵 How to use Signal Builder:
Configure indicators: Select the indicators that best fit your strategy and adjust their settings as needed. You can combine multiple indicators to define precise entry and exit conditions.
Define custom signals: Create buy or sell conditions that trigger when your selected indicators meet the criteria you’ve set. For example, configure a buy signal when RSI crosses above 30 and MACD confirms with a bullish crossover.
TradingView alerts: Set up alerts in TradingView to receive real-time notifications when the conditions you’ve defined are met, allowing you to react quickly to market opportunities without constantly monitoring charts.
Monitor with the panel: Signal Builder includes a visual panel that shows active conditions for each indicator in real time, helping you keep track of signals without manually checking each indicator.
🔵 3Commas integration:
In addition to being a valuable tool for any trader, Signal Builder is optimized to work seamlessly with 3Commas bots through Webhooks. This allows you to automate your trades based on the signals you’ve configured, ensuring that no opportunity is missed when your defined conditions are met. If you prefer automation, Signal Builder can send buy or sell signals to your 3Commas bots, enhancing your trading process and helping you manage multiple trades more efficiently.
🔵 Example of use:
Imagine you trade in volatile markets and want to trigger a sell signal when:
Stochastic Oscillator indicates overbought conditions with the %K value crossing below 80.
Bollinger Bands %B shows the price has surpassed the upper band, suggesting a potential reversal.
ADX is below 20, indicating that the trend is weak and could be about to change.
With Signal Builder , you can configure these conditions to trigger a sell signal only when all are met simultaneously. Then, you can set up a TradingView alert to notify you as soon as the signal is activated, giving you the opportunity to react quickly and adjust your strategy accordingly.
👨🏻💻💭 If this tool helps your trading strategy, don’t forget to give it a boost! Feel free to share in the comments how you're using it or if you have any questions.
_________________________________________________________________
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Bollinger Band Squeeze with Dotted MidlinesBollinger Band Squeeze with Dotted Midlines
Overview:
The Bollinger Band Squeeze with Dotted Midlines indicator is a powerful tool designed to identify periods of low volatility in the market, known as "squeeze" conditions, which often precede significant price movements. By combining Bollinger Bands and Keltner Channels, this indicator highlights when the market is consolidating and prepares traders for potential breakouts.
Key Features:
• Squeeze Detection: The indicator fills the area between the Bollinger Bands and Keltner Channels with a semi-transparent red color when both the upper and lower Bollinger Bands are within the Keltner Channels. This visual cue signifies a squeeze condition.
• Dynamic Color Filling: When the Bollinger Bands move outside the Keltner Channels, the fill color changes to a semi-transparent white, indicating the end of the squeeze and the potential start of increased volatility.
• Enhanced Visual Clarity:
o Upper and Lower Bands: The upper and lower lines of both the Bollinger Bands and Keltner Channels are plotted with increased thickness (3pt) for better visibility.
o Midlines with Dotted Effect: The middle lines (50% lines) for both the Bollinger Bands and Keltner Channels are plotted as dotted lines using circles with a thinner line width (1pt), providing a clear yet unobtrusive reference point.
Indicator Components:
1. Bollinger Bands (Orange Lines):
o Upper Bollinger Band: Calculated as the moving average plus a multiple of the standard deviation.
o Lower Bollinger Band: Calculated as the moving average minus a multiple of the standard deviation.
o Middle Bollinger Band: The simple moving average (SMA) of the closing price.
2. Keltner Channels (White Lines):
o Upper Keltner Channel: Calculated as the exponential moving average (EMA) plus a multiple of the average true range (ATR).
o Lower Keltner Channel: Calculated as the EMA minus a multiple of the ATR.
o Middle Keltner Channel: The EMA of the closing price.
3. Squeeze Condition Fill:
o Red Fill (40% Opacity): Indicates a squeeze condition where the Bollinger Bands are entirely within the Keltner Channels.
o White Fill (40% Opacity): Indicates normal market conditions where the Bollinger Bands have moved outside the Keltner Channels.
How to Use:
1. Identifying Squeeze Conditions:
o Look for Red Filled Areas: When you see the area between the Bollinger Bands and Keltner Channels filled in semi-transparent red, it signals a squeeze condition. This means the market is experiencing low volatility and may be preparing for a significant move.
2. Preparing for Potential Breakouts:
o Monitor for Fill Color Changes: A transition from red to white fill suggests that the squeeze is ending, and volatility is increasing. Traders often interpret this as a potential opportunity for a breakout in either direction.
3. Utilizing Midlines:
o Reference Midlines for Trend Direction: The dotted midlines provide insight into the overall trend. Crossing of the price above or below these lines can offer additional confirmation for trading decisions.
Customization Options:
• Bollinger Bands Settings:
o Length: Default is 20 periods. Adjust to change the sensitivity of the bands.
o Multiplier: Default is 2.0. Modify to increase or decrease the band width based on standard deviation.
• Keltner Channels Settings:
o Length: Default is 20 periods. Alter to adjust the responsiveness of the channels.
o Multiplier: Default is 1.5. Change to widen or narrow the channels based on average true range.
Advantages:
• Visual Clarity: Enhanced line thickness and semi-transparent fills make it easy to spot key market conditions at a glance.
• Early Warning System: By identifying squeeze conditions, traders can anticipate potential breakouts and plan their strategies accordingly.
• Flexible Application: Suitable for various timeframes and trading styles, including day trading, swing trading, and position trading.
Limitations:
• False Signals: Like all technical indicators, it may produce false signals, especially in choppy or range-bound markets.
• Should Be Used with Other Indicators: For better accuracy, it's recommended to use this indicator in conjunction with other technical analysis tools and not as a standalone signal generator.
Conclusion:
The Bollinger Band Squeeze with Dotted Midlines indicator is a valuable addition to any trader's toolkit. By effectively highlighting periods of consolidation and potential breakout points, it aids in making informed trading decisions. The visual enhancements improve usability, allowing traders to quickly interpret market conditions and respond appropriately.
Fibonacci & Bollinger Bands StrategyThis strategy combines Bollinger Bands and Fibonacci retracement/extension levels to identify potential entry and exit points in the market. Here’s a breakdown of each component and how the strategy works:
1. Bollinger Bands:
Bollinger Bands consist of a simple moving average (SMA) and two standard deviations (upper and lower bands) plotted above and below the SMA. The bands expand and contract based on market volatility.
Purpose in Strategy:
The lower band represents an area where the market might be oversold.
The upper band represents an area where the market might be overbought.
The price crossing these bands suggests overextended market conditions, which can be used to identify potential reversals.
2. Fibonacci Retracement and Extension Levels:
Fibonacci retracement levels are horizontal lines that indicate where price might find support or resistance as it retraces some of its previous movement. Common retracement levels are 61.8% and 78.6%.
Fibonacci extension levels are used to project areas where the price might extend after completing a retracement. These levels can help determine potential targets after a significant price movement.
Purpose in Strategy:
The strategy calculates the most recent swing high (fibHigh) and swing low (fibLow) over a lookback period. It then plots Fibonacci retracement and extension levels based on this range.
The Fibonacci levels are used as key support and resistance areas. The price approaching or touching these levels signals potential turning points in the market.
3. Entry Criteria:
A long position (buy) is triggered when:
The price crosses below the lower Bollinger Band, indicating an oversold condition.
The price is near or above a Fibonacci extension level (calculated based on the most recent price swing).
This suggests that the price is potentially reaching a strong support area, where a reversal is likely.
4. Exit Criteria:
The long position is closed (exit trade) when either:
The price touches or crosses the upper Bollinger Band, signaling an overbought condition.
The price reaches a Fibonacci retracement level or exceeds the recent swing high (fibHigh), indicating a potential exhaustion point or a reversal area.
5. General Strategy Logic:
The strategy takes advantage of market volatility (captured by the Bollinger Bands) and key support/resistance levels (determined by Fibonacci retracement and extension levels).
By combining these two techniques, the strategy identifies potential entry points at oversold levels with the expectation that the market will retrace or reverse upward, especially when near key Fibonacci extension levels.
Exit points are identified by potential overbought levels (Bollinger upper band) or key Fibonacci retracement levels, where the price might reverse downward.
6. Conditions to Execute the Strategy:
The Fibonacci levels are only calculated once the price has made a significant movement, establishing a recent high and low over a 50-bar period (which you can adjust). This ensures the Fibonacci levels are based on meaningful swings.
The entry and exit signals are filtered using both Bollinger Bands and Fibonacci levels to ensure that trades are not taken solely based on one indicator, thus reducing false signals.
Key Features of the Strategy:
Trend-following with reversal: It tries to catch reversals when the price hits extreme levels (Bollinger Bands) while respecting important Fibonacci levels.
Dynamic market adaptation: The strategy adapts to market conditions as it recalculates Fibonacci levels based on recent price swings and adjusts the Bollinger Bands for market volatility.
Confirmation through multiple indicators: It uses both the volatility-based signals from Bollinger Bands and the price structure from Fibonacci levels to confirm trade entries and exits.
Summary of the Strategy:
The strategy looks to buy low and sell high based on oversold/overbought signals from Bollinger Bands and Fibonacci levels that indicate key support and resistance zones.
By combining these two technical indicators, the strategy aims to reduce risk and increase accuracy by only entering trades when both indicators suggest favorable conditions.
Gauss IndicatorGauss Indicator
Class : oscillator
Trading type : any
Time frame : any
Purpose : reversal trading
Level of aggressiveness : any
About Gauss Indicator
Time series forecasting is quite a scientific task, for which specific econometrical models and methods have been developed.
Who is Gauss and Why his Curve is So Important
Johann Gauss was one of the best mathematicians of all times and he gave us a very specific curve (Gaussian Curve) to explain specifics of random variable behavior (so called Normal Distribution)
Gaussian curve has quite interesting property usually called “3 Sigmas Rule”: in a normal distribution: 68%, 95%, and 99.7% of the values lie within one, two, and three standard deviations of the mean, respectively.
But Does It Work in the Financial Markets?
Normal Distribution is extremely typical for price behavior in financial markets: FOREX, stock Market, Commodities, Cryptocurrency market.
How can we forecast future prices based on “3 Sigmas Rule”?
If we know past prices (we actually know), we can calculate Mean and Standard Deviation.
After that following “3 Sigmas Rules” we can calculate the fluctuations range for the present day with a known probability (!).
• If we add 1 sigma to mean we can get the price value that wouldn’t be exceeded with a probability of 68%.
• If we add 2 sigmas to mean we can get the price value that wouldn’t be exceeded with a probability of 95%.
• If we add 3 sigmas to mean we can get the price value that wouldn’t be exceeded with a probability of 99%.
How Can I Get This Information?
Gauss indicator is a practical implementation of “3 sigmas rule” in trading.
Gauss allows to predict the ranges of price fluctuations for the selected time frames (week, day, hour, etc) with certain probabilities: 68%, 95% and 99%.
Gauss can be used to generate Trading signals, Stop-loss parameters, Take-profit parameters, Synthetic Levels (both Support and Resistance).
Actually, ALL information you need to trade.
Structure of the Gauss Indicator
1. Three blue lines – synthetic support lines. They describe 3 different buy zones with certain probabilities of success:
- First blue line (Buy zone #1) - the price today will not fall below this mark with a probability of 68%;
- Second blue line (Buy zone #2) - the price today will not fall below this mark with a probability of 95%;
- Third blue line (Buy zone #3) - the price today will not fall below this mark with a probability of 99%.
2. Three red lines – synthetic resistance lines. They describe 3 different sell zones with certain probabilities of success:
- First red line (Sell zone #1) - the price today will not rise above this mark with a probability of 68%;
- Second red line (Sell zone #2) - the price today will not rise above this mark with a probability of 95%;
- Third red line (Sell zone #3) - the price today will not rise above this mark with a probability of 99%.
3. Green line – shows current price. When it gets close to the red/blue line sell/buy signals are generated.
Trading rules
General rules are as follows: buy at the blue lines, sell at the red lines.
Take-profits for sells are set at the nearest blue line, for buys – at the nearest red line. Stop-losses for sells are set above the last red line, for buys – below the last blue line.
Prometheus Fractal WaveThe Fractal Wave is an indicator that uses a fractal analysis to determine where reversals may happen. This is done through a Fractal process, making sure a price point is in a certain set and then getting a Distance metric.
Calculation:
A bullish Fractal is defined by the current bar’s high being less than the last bar’s high, and the last bar’s high being greater than the second to last bar’s high, and the last bar’s high being greater than the third to last bar’s high.
A bearish Fractal is defined by the current low being greater than the last bar’s low, and the last bar’s low being less than the second to last bar’s low, and the last bar’s low being less than the third to last bar’s low.
When there is that bullish or bearish fractal the value we store is either the last bar’s high or low respective to bullish or bearish fractal.
Once we have that value stored we either subtract the last bar’s low from the bullish Fractal value, and subtract the last bar’s high from the bearish Fractal value. Those are our Distances.
Code:
isBullishFractal() =>
high > high and high < high and high > high
isBearishFractal() =>
low < low and low > low and low < low
var float lastBullishFractal = na
var float lastBearishFractal = na
if isBullishFractal() and barstate.isconfirmed
lastBullishFractal := high
if isBearishFractal() and barstate.isconfirmed
lastBearishFractal := low
//------------------------------
//-------CACLULATION------------
//------------------------------
bullWaveDistance = na(lastBullishFractal) ? na : lastBullishFractal - low
bearWaveDistance = na(lastBearishFractal) ? na : high - lastBearishFractal
We then plot the bullish distance and the negative bearish distance.
The trade scenarios come from when one breaks the zero line and then goes back above or below. So if the last bullish distance was below 0 and is now above, or if the last negative bearish distance was above 0 and now below. We plot a green label below a candle for a bullish scenario, or a red label above a candle for a bearish one, you can turn them on or off.
Code:
plot(bullWaveDistance, color=color.green, title="Bull Wave Distance", linewidth=2)
plot(-bearWaveDistance, color=color.red, title="Bear Wave Distance", linewidth=2)
plot(0, "Zero Line", color=color.gray, display = display.pane)
bearish_reversal = plot_labels ? bullWaveDistance < 0 and bullWaveDistance > 0 : na
bullish_reversal = plot_labels ? -bearWaveDistance > 0 and -bearWaveDistance < 0 : na
plotshape(bullish_reversal, location=location.belowbar, color=color.green, style=shape.labelup, title="Bullish Fractal", text="↑", display = display.all - display.status_line, force_overlay = true)
plotshape(bearish_reversal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Bearish Fractal", text="↓", display = display.all - display.status_line, force_overlay = true)
We can see in this daily NASDAQ:QQQ chart that the indicator gives us marks that can either be used as Reversal signals or as breathers in the trend.
Since it is designed to provide reversals, on something like Gold where the uptrend has been strong, the signals may be just short breathers, not full blown strong reversal signs.
The indicator works just as well intra day as it does on larger timeframes.
We encourage traders to not follow indicators blindly, none are 100% accurate. Please comment on any desired updates, all criticism is welcome!
Risk Matrix [QuantraSystems]Risk Matrix
The Risk Matrix is a sophisticated tool that aggregates a variety of fundamental inputs, primarily external (non-crypto) market data is used to assess investor risk appetite. By combining external macroeconomic factors and proxies for liquidity data with specific signals from the cryptomarket - the Risk Matrix provides a holistic view of market risk conditions. These insights are designed to help traders and investors make informed decisions on when to adopt a risk-on or risk-off approach.
Core Concept
The Risk Matrix functions as a dynamic risk assessment tool that integrates both fundamental and technical market indicators to generate an aggregated Z-score. This score helps traders to identify where the market is in a risk-off or risk-on state, The system provides both binary risk signals and a more nuanced “risk seasonality” mode for deeper analysis.
Key Features
Global Liquidity Aggregate - The Liquidity score is a custom measure of global liquidity, built by combining a variety of traditional financial metrics. These include data from central bank balance sheets, reverse repo operations and credit availability. This data is sourced from organizations such as the U.S. Federal Reserve, the European Central Bank, and the People’s Bank of China. The purpose of this aggregate is to gauge how much liquidity is available in the global financial system - which often correlates with risk sentiment. Rising liquidity tends to boost risk-on appetite, while liquidity contractions signal increased caution (risk-off) in the markets. The data sources used in this global liquidity aggregate include:
- U.S. Commercial Bank Credit data
- Federal Reserve balance sheet and reverse repo operations
- Liquidity from major central banks including the Fed, Bank of Japan, ECB, and PBoC
- Asset performance from major global financial indices such as the S&P 500, TLT, DXY (U.S. Dollar Index), MOVE (bond market volatility), and commodities like gold and oil.
Other key Z-scores (measured individually) - The Risk Matrix also incorporates other major Z-scores that represent different facets of the financial markets:
- Collateral Risk - A measure of US bond volatility, where higher values indicate higher interest rate risk - leading to potential market instability and cautious market behaviors.
- Stablecoin Dominance - The dominance of stablecoins in the crypto markets - which can signal risk aversion the total capital allocated to stables increases relative to other cryptocurrencies.
- US Currency Strength - The U.S. Dollar Index Z-score reflects currency market strength, with higher values typically indicating risk aversion as investors sell more volatile assets and flock to the dollar.
- Trans-pacific Monetary Bias - Signals capital flow and monetary trends that link between the East and West, heavily influencing global risk sentiment.
- Total - A measure of the total cryptocurrency market cap, signaling broader risk sentiment with the crypto market.
Neural Network Synthesis - The NNSYNTH component adds a machine learning inspired layer to the Risk Matrix. This custom indicator synthesizes inputs from various technical indicators (such as RSI, MACD, Bollinger Bands, and others) to generate a composite signal that reflects the health of the cryptomarket. While highly complex in its design, the NNSYNTH ultimately helps detect market shifts early by synthesizing multiple signals into one cohesive output. This score is particularly useful for gauging momentum and identifying potential turning points in market trends. Because the NNSYNTH is a closed source indicator, and it is included here, the Risk Matrix by extension is a closed source indicator.
How it Works
Z-score Aggregation - The Risk Matrix computes a final risk score by aggregating several Z-scores from different asset classes and data sources, all of which contribute proportionally to the overall market risk assessment. Each input is equally weighted - normalization allows for direct comparisons across global liquidity trends, currency fluctuations, bond market volatility and crypto market conditions. Furthermore, this system employs multi-calibration aggregation - where each individual matrix is itself an aggregate of multiple Z-scores derived from various timeframes. This ensures that each matrix captures a distinct average across different time horizons before being combined into the overall Risk Matrix. This layered, multi timeframe approach enhances the precision and robustness of the final Z-score.
Risk-On / Risk-Off Mode - The system’s binary mode provides a clear Risk On and Off signal. This nature of this signal is determined by the behavior of the Z-score relative to the midline, or Standard Deviation Bands, depending on specific conditions:
Risk-On is signaled when the aggregated final Z-score crosses above 0. However, in extreme oversold conditions, Risk-On can trigger early if the upper standard deviation band falls below the zero line. In such cases, the Risk-On signal is triggered when the z-score crosses the upper standard deviation band - without waiting to cross the midline.
Risk-Off is signaled when the final Z-score moves below 0. Similarly, Risk-Off can also be triggered early if the lower standard deviation band rises above the midline. In this instance, Risk-Off is triggered when the Z-score crosses below the lower band.
Risk Seasonality Mode - This mode offers a more gradual transition between risk states, measuring the change in the Z-score to visualize the shifts in risk appetite over time. It's useful for traders seeking to understand broader market cycles and risk phases. The seasonality view breaks down the market into the following phases:
Risk-On - High risk appetite where risk/cyclical markets are generally bullish.
Weakening - Markets showing signs of cooling off, here the higher beta assets tend to sell off first.
Risk-Off - Investors pull back, and bearish sentiment prevails.
Recovery - Signs of bottoming out, potential for market re-entry.
Component Matrices - Each individual Z-score is visualized as part of the component matrices - scaled to a 3 Sigma range. These component matrices allow traders to view how each data source is contributing to the overall risk assessment in real time - offering transparency and granularity.
Visuals and UI
Main Risk Matrix - The aggregated Z-Score is displayed saliently in the main risk matrix. Traders and investors can quickly see what season the Risk Matrix is signaling and adjust their strategies accordingly.
Overview Table - A detailed overview table shows the current confirmed Z-scores for each component, along with values from 2, and 3 bars back. This helps traders spot trends and the rate of change (RoC) between signals, offering additional insights for shorter-term risk management.
Customizability - Users can customize the visual elements of the matrix, including color palettes, table sizes, and positions. This allows for optimal integration into any trader’s existing workspace.
Usage Summary
The Risk Matrix is an incredibly versatile tool. It is especially valuable as a means of achieving a cross-market view of risk, incorporating both crypto-specific and macroeconomic factors. Some key use cases include:
Adjusting Capital Allocation Based on Risk Seasons - Traders can use the Risk Matrix to adjust their capital allocation dynamically. During Risk-On periods, they might increase exposure to long positions, capitalizing on stronger market conditions. Conversely, during Risk-Off periods, traders could reduce or hedge long positions and potentially scale up short positions or move into safer assets.
Complementing Other Trading Systems - The Risk Matrix can work alongside other technical systems to provide context to market moves. For instance, a trend-following strategy might suggest an entry, but the Risk Matrix could be used to verify whether the broader market conditions support this trade. If the Matrix is in a Risk-Off period, a trader might opt for more conservative trade sizes or avoid the trade entirely.
This flexibility allows traders to adjust their strategies and portfolio risk dynamically, enhancing decision making based on broader market conditions - as indicated by external macroeconomic factors, liquidity, and risk sentiment.
Important Note
The Risk Matrix always uses the most up-to-date data available, ensuring analysis reflects the latest market conditions and macroeconomic inputs. In rare cases, governments or financial institutions revise past data - and the Risk Matrix will adjust accordingly. This behavior can only be seen in the Liquidity Matrix. and can affect the final score. While this is uncommon, it highlights the benefit of using a system that adapts in real-time, incorporating the most accurate and current information to enhance decision making processes.
Dynamic Darvas BoxBu Darvas Box göstergesi, finansal piyasadaki potansiyel fiyat kırılımlarını hacimle birlikte analiz eden dinamik bir sistem sunar. Geliştirdiğiniz bu Pine Script, belirli bir "bakış aralığı" parametresi kullanarak geçmiş fiyat hareketlerinden yüksek ve düşük noktalar oluşturur ve bu seviyelerin kırılımını takip eder. Hacimli veya hacimsiz kırılımlar da ayrıca işaretlenir. Aşağıda hem Türkçe hem de İngilizce açıklamalar yer almakta:
Türkçe Açıklama:
Darvas Kutusu ve Hacim Kırılımı
Bu gösterge, fiyatların Darvas Kutusu mantığıyla analiz edilmesini sağlar ve kutunun kırılım seviyelerini hacimle birlikte değerlendirir.
Bakış Aralığı (bakis_araligi): Bu parametre, fiyatın geçmişte kaç bar geri giderek yeni bir yüksek veya düşük seviyenin tespit edilmesi gerektiğini belirler.
Hacim SMA (hacim_sma): Hacim için kullanılan basit hareketli ortalamanın (SMA) uzunluğunu belirler. Gösterge, hacim ortalamasının üzerinde veya altında olup olmadığını bu SMA değerine göre değerlendirir.
Kapanış Fiyatı ile Tamamlama (kapanis_kullan): Eğer bu seçenek aktifse, kutu kapanış fiyatı baz alınarak tamamlanır. Aksi takdirde, yüksek ve düşük seviyelerle tamamlanır.
Kırılım Fiyatını Göster (kirilim_goster): Hacim yetersiz olsa bile kırılım seviyesini etiketlemek için kullanılır.
Bu göstergede, yüksek bir fiyatın oluşması durumunda bir kutu başlatılır. Kutu, bakış aralığı boyunca yüksek ve düşük seviyeler ile onaylanır. Sonrasında, fiyatın kutu seviyesini kırıp kırmadığı izlenir. Eğer fiyat kutunun üzerine çıkarsa veya altına düşerse, hacim durumu kontrol edilerek bir "Hacimli Kırılım" veya "Hacimsiz Kırılım" etiketi gösterilir.
Kutu Arka Plan Renkleri: Kutu içerisindeki fiyat hareketinin durumu, renklerle gösterilir:
Yukarı Kırılım: Kutunun üst seviyesinin kırılması durumunda yeşil renk.
Aşağı Kırılım: Kutunun alt seviyesinin kırılması durumunda kırmızı renk.
Nötr: Kutu içinde tarafsız durum için sarı renk.
Ayrıca, kutunun orta hattı (orta_hat), yüksek ve düşük seviyelerin ortalamasını temsil eder ve fiyatın bu çizgiyi kaç kez kestiğini analiz etmek için kullanılabilir.
English Description:
Darvas Box and Volume Breakout
This indicator implements a dynamic Darvas Box strategy that tracks potential price breakouts in combination with volume analysis.
Lookback Period (bakis_araligi): This parameter defines how many bars back the price needs to look for determining a new high or low.
Volume SMA (hacim_sma): Specifies the length of the Simple Moving Average (SMA) for volume. The indicator uses this value to determine if volume is above or below average.
Completion with Closing Price (kapanis_kullan): If this option is enabled, the box is completed based on the closing price. Otherwise, the high and low prices are used for completion.
Show Breakout Price (kirilim_goster): This option is used to label the breakout price, even if the volume is below the average.
The indicator starts a box when a new high price is detected. The box is confirmed over the lookback period using high and low levels. The breakout levels are then monitored. If the price breaks above the upper or lower box boundary, it checks the volume condition and labels the breakout as either "Volume Breakout" or "Non-Volume Breakout."
Box Background Colors: The price movement within the box is represented with colors:
Upward Breakout: The background is green if the upper box boundary is broken.
Downward Breakout: The background is red if the lower boundary is broken.
Neutral: The background is yellow for neutral price movement within the box.
Additionally, the middle line (orta_hat) represents the average of the high and low levels and can be used to analyze how many times the price crosses this midline.
