Sharpe Ratio With Upper/Lower BandsSharpe Ratio with Upper/Lower Bands is an advanced indicator designed to measure and visualize risk-adjusted returns. The Sharpe Ratio evaluates the performance of an asset or portfolio relative to its risk, helping traders and investors gauge efficiency.
This indicator enhances the traditional Sharpe Ratio by adding dynamic upper and lower bands based on its historical mean and standard deviation. These bands provide clear visual thresholds for overperformance and underperformance, allowing users to identify when the Sharpe Ratio deviates significantly from its typical range.
It’s a valuable tool for spotting extreme risk-adjusted performance levels, optimizing entry and exit points, and maintaining a balanced risk-reward strategy.
Temel Analiz
Fibonacci Candlestick - AYNETHow It Works
Inputs:
ltf_timeframe: Specify the timeframe for candlestick data (e.g., 1H, 4H).
Fibonacci Levels:
Toggle Fibonacci level visibility (show_fib_levels).
Customize Fibonacci line color (fib_color) and width (fib_width).
Candlestick Data:
Fetches open, high, low, and close prices for the specified timeframe using request.security.
Fibonacci Levels:
Calculates standard Fibonacci retracement levels (0.0, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%) for each candle's high-low range.
Draws horizontal lines for each level using line.new.
Candlestick Visualization:
Plots lower timeframe candles with customizable bullish and bearish colors.
Key Features
Dynamic Fibonacci Levels:
Fibonacci levels are recalculated for each candlestick's high-low range.
Levels update dynamically with new candles.
Candlestick Overlay:
Visualizes candlestick data from the specified timeframe directly on the current chart.
Customizable Appearance:
Configure colors for Fibonacci levels, candlestick bodies, and wicks.
Use Cases
Microstructure Analysis:
Analyze individual candlesticks with their Fibonacci retracements for potential support/resistance zones.
Multi-Timeframe Trading:
Overlay candlestick and Fibonacci data from a lower timeframe onto a higher timeframe chart.
Let me know if you'd like further enhancements or explanations! 😊
Cosmic Cycle Trader -AYNETThe "Cosmic Cycle Trader 🌌"
Here's a summarized breakdown of the code:
Inputs
Orbital Periods (Moving Averages):
User specifies moving average (MA) periods as a comma-separated string (e.g., "10,20,50,100").
Predefined colors for each MA are used.
Fibonacci Sphere Levels:
User specifies Fibonacci retracement levels as a string (e.g., "0.236,0.382,0.618,1.0").
Color customization for Fibonacci levels is included.
Gravitational Pull (Signal Thresholds):
Configurable thresholds (buy_pull and sell_pull) to define signal triggers.
Alerts can be toggled on or off.
Core Features
Helper Functions:
parse_floats: Converts a comma-separated string into an array of floating-point numbers.
parse_ints: Converts a comma-separated string into an array of integers.
Orbital Periods (Moving Averages):
Moving averages are calculated for the given periods using the ta.sma function.
Each MA is stored in an array and plotted on the chart with a unique color.
Fibonacci Spheres:
Fibonacci levels are calculated based on the high and low of the current bar.
These levels are plotted as circles, visually indicating key price zones.
Signals:
Buy Signal: Triggered when:
The price closes above the highest MA.
The price is between specific Fibonacci levels.
Sell Signal: Triggered when:
The price closes below the lowest MA.
The price is below specific Fibonacci levels.
Alerts:
Alerts are created for buy and sell signals.
Signals are also annotated on the chart with labels and shapes.
Visual Elements
Plots:
Moving averages are plotted with distinct colors and line widths.
Fibonacci spheres are plotted as circles with customizable transparency.
Shapes:
Triangles indicate buy (green) and sell (red) signals on the chart.
Labels:
Buy signals display a "🌕 Buy" label.
Sell signals display a "🌑 Sell" label.
Purpose
This indicator helps traders identify potential buy and sell zones based on:
Moving average trends (orbital periods).
Key Fibonacci retracement levels.
Configurable thresholds (gravitational pull).
This combination of technical analysis tools makes it a visually appealing and functional indicator for traders.
Rainbow Fisher - AYNETThe Rainbow Fisher Indicator is inspired by John Ehlers' work on the Fisher Transform, a tool designed to normalize price movements and highlight overbought and oversold conditions. This script combines Ehlers' Fisher Transform with a rainbow visualization for enhanced trend analysis.
Summary of the Code
Fisher Transform Calculation:
The indicator calculates the Fisher Transform based on normalized high-low price data (hl2), which emphasizes turning points in market trends.
Rainbow Visualization:
The Fisher line is dynamically colored using a rainbow gradient to visually represent the magnitude and direction of market movements.
Overbought/Oversold Levels:
Configurable horizontal lines mark thresholds (1.5 for overbought and -1.5 for oversold by default), helping traders identify extremes in price action.
Signal Labels:
Labels are displayed when the Fisher line crosses the overbought or oversold levels, providing clear visual cues for potential market reversals.
Acknowledgment:
This indicator is an homage to John Ehlers' groundbreaking work in digital signal processing for financial markets.
How to Use
Trend Reversal Detection:
Use the overbought and oversold levels to identify potential turning points in market trends.
Momentum Analysis:
Observe the rainbow-colored Fisher line for directional cues and the strength of price movements.
Customization
Adjust the Fisher Transform length to refine sensitivity.
Modify overbought/oversold levels to align with your trading strategy.
Enable or disable the rainbow effect for simplicity or added clarity.
Let me know if you’d like further refinements or additional features! 🌈
Sharpe Ratio Z-ScoreThe "Sharpe Ratio Z-Score" indicator is a powerful tool designed to measure risk-adjusted returns in financial assets. This script helps investors evaluate the performance of a security relative to its risk, using a Z-score based modification of the Sharpe Ratio. The indicator is suitable for assessing market environments and understanding periods of underperformance or overperformance relative to historical standards.
Features:
Risk Assessment and Scaling: The indicator calculates a modified version of the Sharpe Ratio
over a user-defined period. By using scaling and mean offset adjustments, it allows for better
fitting to different market conditions.
Customizable Settings:
Period Length: The number of bars used to calculate the Sharpe Ratio.
Mean Adjustment: Offset value to adjust the average return of the calculated Sharpe ratio.
Scale Factor: A multiplier for emphasizing or reducing the calculated score's impact.
Line Color: Easily customize the plot's appearance.
Visual Cues:
Plots horizontal lines and fills specific regions to visually represent significant Z-score levels.
Highlighted zones include risk thresholds, such as overbought (positive Z-scores) and oversold
(negative Z-scores) areas, using intuitive color fills:
Green for areas below -0.5 (potential buy opportunities).
Red for areas above 0.5 (potential sell opportunities).
Yellow for neutral zones between -0.5 and 0.5.
Use Cases:
Risk-Adjusted Decision Making: Understand when returns are favorable compared to risk, especially during volatile market conditions.
Timing Reversion to Mean: Use highlighted zones to identify potential reversion-to-mean scenarios.
Trend Analysis: Identify times when an asset's performance is significantly deviating from its
average risk-adjusted return.
How It Works:
The script computes the daily returns over a set period, calculates the standard deviation of
those returns, and then applies a modified Sharpe Ratio approach. The Z-score transformation
helps to visualize how far an asset's risk-adjusted return deviates from its historical average.
This "Sharpe Ratio Z-Score" indicator is well-suited for investors seeking to combine quantitative metrics with visual cues, enhancing decision-making for long and short positions while maintaining a risk-adjusted perspective.
ATH/ATL trackerThis script calculates and displays in a table in realtime:
- ATH, date of occurrence, and that price/current price
- ATL, date of occurrence, and that price/current price
- ATH of the current year, date of occurrence, and that price/current price
- ATL of the current year, date of occurrence, and that price/current price
MA Rainbow-AYNETSummary of the "MA Rainbow"
The 200 MA Rainbow script creates a visually appealing representation of multiple moving averages (MAs) with varying lengths and colors to provide insights into price trends and market momentum.
Key Features:
Base Moving Average:
A starting point (ma_length, default 200) is used as the foundation for all other bands.
Rainbow Bands:
The script generates multiple moving averages (bands) with increasing lengths, spaced by a user-defined band_spacing multiplier.
The number of bands is controlled by rainbow_bands, allowing up to 7 bands.
Moving Average Types:
Users can select the MA type: Simple (SMA), Exponential (EMA), or Weighted (WMA).
Dynamic Colors:
Each band is assigned a unique color from a predefined rainbow palette, making the chart visually distinct.
Inputs for Customization:
ma_length: Adjust the base period of the moving average.
rainbow_bands: Set the number of bands to display.
band_spacing: Control the spread between bands.
How It Works:
Precomputing Bands:
Each band’s length is calculated based on the base length (ma_length) and a multiplier (band_spacing).
For example, if ma_length = 200 and band_spacing = 0.2, the lengths of the first 3 bands will be:
Band 1: 200
Band 2: 240
Band 3: 280
Global Plotting:
Each band’s moving average is precomputed using the selected type (SMA, EMA, or WMA).
Bands are plotted globally to avoid scope issues, ensuring compatibility with Pine Script rules.
Color Cycling:
Colors are assigned dynamically from a rainbow palette (red, orange, yellow, green, blue, purple, teal).
Use Case:
The 200 MA Rainbow helps traders:
Visualize market trends with multiple layers of moving averages.
Identify areas of support and resistance.
Gauge momentum through the spread and alignment of bands.
Customization:
Users can:
Change the base moving average length (ma_length).
Adjust the number of bands (rainbow_bands).
Control the spread between bands with band_spacing.
Select the moving average type (SMA, EMA, WMA).
Application:
Copy the script into the Pine Editor in TradingView.
Apply it to your chart to observe the Rainbow MA visualization.
Adjust inputs to match your trading style or strategy.
This script is a versatile tool for both beginner and advanced traders, providing a colorful way to track price trends and market conditions. 🌈
Cognitive Market Lens - AynetConcept: Cognitive Market Lens
What if you could see the market as a living organism? Instead of fixed lines and signals:
The chart becomes dynamic, fluid, and alive.
It learns and adapts based on what you’re trading.
Incorporates neural-inspired flows, time-expanding visuals, and holographic projections of market behavior.
Features
Cognitive Flows:
Prices are visualized as streams of energy, flowing dynamically based on trend strength, volume, and volatility.
Major price movements create ripples in the flow, allowing traders to sense "disturbances in the force."
Market Vortex:
Identifies converging forces (momentum, volume, volatility) and visualizes them as vortexes on the chart, pulling price toward or away.
Dimensional Overlays:
A 3D-like holographic layer projects possible future price paths based on historical fractals and current momentum.
Emotion Heatmap:
Tracks market fear/greed dynamics in real-time and overlays a heatmap, shifting from red (fear) to green (greed).
How It Works
1. Cognitive Flows
Price flows are represented as streams of energy.
The strength of the flow gives insight into the market's momentum.
2. Market Vortex
Vortexes are zones where price is strongly pulled toward a region due to momentum and ATR alignment.
These zones appear as 🌀 symbols.
3. Emotion Heatmap
Tracks emotional shifts in the market:
Green for Greed (RSI > 70%).
Red for Fear (RSI < 30%).
Blue for Neutral.
4. Dimensional Overlay
Projects potential price paths (upside/downside) as dotted lines based on fractals and ATR.
What Makes This Different?
Dynamic Flow Visualization:
Moves beyond static lines to create a living market view.
Emotionally Intelligent:
Integrates a heatmap of market sentiment directly on the chart.
Dimensional Perspective:
Predicts future price paths as holographic overlays.
Unconventional Logic:
Leverages vortex dynamics to identify zones of attraction/repulsion.
Next Steps
If this resonates, we can enhance it with neural network predictions or even interactive AI trading zones.
Open to any customization ideas you have. Let's make this truly extraordinary.
ChronoTrader AI - AynetConcept: ChronoTrader AI 🌌
This indicator will act as your intelligent trading guide, utilizing concepts like time-sliced analysis, pattern emergence, and behavioral adaptation.
Features
Chrono Segmentation:
Splits market data into time slices (short-term, medium-term, long-term).
Analyzes trends, reversals, and volume behavior in each slice dynamically.
Evolving Pattern Web:
Detects emerging patterns (triangles, flags, channels) and visualizes them as a web of interconnected zones.
Risk-Adaptive Zones:
Highlights low-risk and high-risk zones on the chart in real-time based on volatility and liquidity metrics.
Signal Compass:
Generates directional signals (buy/sell/neutral) based on multi-factor analysis (momentum, volume, RSI).
Forecasting Arcs:
Predicts price curves and overlays them as forecast arcs.
What’s New Here?
Chrono Segmentation:
Splits the market into multiple perspectives (short-term, medium-term, long-term).
Provides layered insights that adjust dynamically.
Dynamic Risk Zones:
Adaptive zones highlight areas of high volatility and low liquidity, helping traders manage risk.
Forecasting Arcs:
Predicts potential support and resistance levels and visualizes them as arcs on the chart.
Pattern Web:
Visualizes fractals and emerging patterns as dynamic zones (highs and lows).
Signal Compass:
Combines momentum, RSI, and trend alignment into actionable buy/sell/neutral signals.
Why This Is Different?
Comprehensive Market View:
Combines trends, risk, patterns, and forecasts in a single indicator.
Adaptability:
Adjusts to changing market conditions in real-time, offering a living market map.
Elegant Simplicity:
While complex under the hood, the visuals and outputs are intuitive and actionable.
What’s Next?
If you like this direction, we can:
Add multi-timeframe analysis.
Introduce AI-driven predictions.
Create a dashboard overlay for even richer insights.
Let me know! This is just the beginning.
Quantum Trend Visualizer - AynetConcept: Quantum Market Visualizer 🌌
What is it?
This is an indicator that represents the market as a quantum system:
Probability Fields: Price movements are shown as probability waves, not deterministic lines.
Entanglement Visuals: Correlations between indicators create entangled nodes, forming a quantum lattice.
Particle Collisions: Anomalous market behaviors are visualized as particle collisions with cascading effects.
Uncertainty Zones: Dynamic zones represent uncertainty in market movement, showing areas of extreme caution.
Features
Probability Wavefield:
Price behaves like a particle-wave, with multiple possible future outcomes.
Visualized as a transparent, oscillating wave overlaid on the chart.
Quantum Entanglement Nodes:
RSI, ATR, and Momentum are entangled, creating nodes that glow based on their alignment.
Particle Collisions:
Volume and volatility spikes create "collisions," with ripple effects propagating through the chart.
Uncertainty Gradient:
Background gradient reflects the "uncertainty" of the market, calculated from ATR, RSI divergence, and volume.
Features in Detail
1. Probability Wavefield
What It Does:
Price movements are visualized as waves with upper (waveTop) and lower (waveBottom) boundaries.
The area between these waves is filled with a semi-transparent blue field.
What It Means:
Represents potential price outcomes, giving traders a probabilistic view.
2. Quantum Entanglement Nodes
What It Does:
Dynamic levels (nodes) are drawn, where RSI, Momentum, and ATR align.
Nodes glow brighter (higher intensity) when the alignment strengthens.
What It Means:
Reveals hidden areas of confluence, aiding in trade entry/exit decisions.
3. Particle Collisions
What It Does:
Volume or volatility spikes trigger "collisions," marked with 💥 icons on the chart.
What It Means:
Identifies explosive market activity, often preceding major moves.
4. Uncertainty Gradient
What It Does:
Background color reflects market uncertainty:
Red: High uncertainty, risky.
Yellow: Moderate uncertainty, caution.
Green: Low uncertainty, stable.
What It Means:
Helps traders adjust risk exposure based on market conditions.
Why Is This Groundbreaking?
Blends Imagination with Practicality:
Creates a visually stunning, sci-fi-inspired market environment with actionable insights.
Unconventional Mechanics:
Probability waves, entanglement, and collisions offer new ways to view the market.
Dynamic Decision Support:
Highlights uncertainty and confluence zones, making it easier to adapt to changing conditions.
Immersive Trading Experience:
This is more than an indicator—it’s a complete visual and analytical journey.
Would you like to take this even further—adding AI-driven anomaly detection, multi-timeframe quantum layers, or even custom sound alerts for particle collisions? Let’s keep pushing boundaries!
Trend Kaleidoscope - AynetWhat Is It?
Instead of viewing the market as lines, boxes, or even traditional visualizations, we’ll create a kaleidoscopic fractal system where:
Market Geometry: Price action forms dynamic geometric shapes that morph based on trend, momentum, and volatility.
Emotion Map: Colors and intensity represent market psychology—fear, greed, stability, or chaos.
Multi-Layered Fractals: Each layer represents a different timeframe or data source.
Pulse Signals: Radiating rings or flashes alert traders to significant shifts.
This is not just an indicator—it’s art meets analytics, allowing traders to interpret the market like visual poetry.
Key Features
Geometric Price Action:
Triangles, hexagons, and polygons morph dynamically as price moves.
Each side of the shape encodes critical data (volume, momentum, volatility).
Emotion Mapping:
Heatmap-style background changes color intensity based on fear/greed indicators.
Multi-Timeframe Fractals:
Overlapping fractals display synchronized and conflicting trends across timeframes.
Radiating Alerts:
Rings expand outward when volatility spikes or trend changes are detected.
Explanation
1. Dynamic Polygon
A geometric shape (triangle, hexagon, etc.) dynamically adjusts its radius and sides based on volatility and momentum.
Each vertex is calculated based on the price and ATR, giving a visually distinct representation of market conditions.
2. Emotion Heatmap
The background changes color:
Green: High greed (RSI > 50).
Red: High fear (RSI < 50).
Transparency adjusts based on intensity.
3. Pulse Signals
Radiating icons (🔆) appear on the chart when volatility exceeds a threshold, signaling significant events.
4. Multi-Timeframe Context
Data from two timeframes (15m and 1H by default) is combined to ensure the visualization accounts for both micro and macro trends.
Why Is It Revolutionary?
Abstract Representation:
By shifting from traditional lines to polygons, you get a unique market fingerprint.
Emotion-Driven Insights:
The fear and greed heatmap provides an intuitive sense of market psychology.
Art Meets Analytics:
This isn’t just a tool—it’s aesthetic and informative, making complex data easier to interpret.
Interactive Alerts:
Pulse signals highlight actionable moments in real-time.
This concept provides both beauty and functionality. Let me know how you'd like to refine or expand it further!
Basit Al-Sat stratejisi murat meşebasit al sat öğeleri içerir. Nerede alıp nerede satacağınızı öğrenmek için grafiği takip edin
Lower and Higher Timeframe Candles with Labels-AYNETHow It Works
Input Parameters:
Users define:
LTF timeframe (e.g., 5m, 15m, 1H).
Time range (e.g., 9 AM to 5 PM) for candle visibility.
Candle colors for bullish, bearish, and wick.
Data Fetching:
The script fetches LTF candle data (open, high, low, close) using request.security.
Conditional Plotting:
Candles are plotted only if the current time falls within the specified range.
Dynamic Label:
A label with the LTF name is created and updated dynamically as the chart progresses.
Use Cases
Multi-Timeframe Analysis:
Analyze LTF price action within the context of a higher timeframe chart.
Session-Specific Focus:
Limit candle visibility to specific trading hours for better insights.
This script combines LTF visualization and a dynamic label for clear and actionable multi-timeframe analysis.
Math Art with Fibonacci, Trigonometry, and Constants-AYNETScientific Explanation of the Code
This Pine Script code is a dynamic visual representation that combines mathematical constants, trigonometric functions, and Fibonacci sequences to generate geometrical patterns on a TradingView chart. The code leverages Pine Script’s drawing functions (line.new) and real-time bar data to create evolving shapes. Below is a detailed scientific explanation of its components:
1. Inputs and User-Defined Parameters
num_points: Specifies the number of points used to generate the geometrical pattern. Higher values result in more complex and smoother shapes.
scale: A scaling factor to adjust the size of the shape.
rotation: A dynamic rotation factor that evolves the shape over time based on the bar index (bar_index).
shape_color: Defines the color of the drawn shapes.
2. Mathematical Constants
The script employs essential mathematical constants:
Phi (ϕ): Known as the golden ratio
(
1
+
5
)
/
2
(1+
5
)/2, which governs proportions in Fibonacci spirals and natural growth patterns.
Pi (π): Represents the ratio of a circle's circumference to its diameter, crucial for trigonometric calculations.
Euler’s Number (e): The base of natural logarithms, incorporated in exponential growth modeling.
3. Geometric and Trigonometric Calculations
Fibonacci-Based Radius: The radius for each point is determined using a Fibonacci-inspired formula:
𝑟
=
scale
×
𝜙
⋅
𝑖
num_points
r=scale×
num_points
ϕ⋅i
Here,
𝑖
i is the point index. This ensures the shape grows proportionally based on the golden ratio.
Angle Calculation: The angular position of each point is calculated as:
𝜃
=
𝑖
⋅
Δ
𝜃
+
rotation
⋅
bar_index
100
θ=i⋅Δθ+rotation⋅
100
bar_index
where
Δ
𝜃
=
2
𝜋
num_points
Δθ=
num_points
2π
. This generates evenly spaced points along a circle, with dynamic rotation.
Coordinates: Cartesian coordinates
(
𝑥
,
𝑦
)
(x,y) for each point are derived using:
𝑥
=
𝑟
⋅
cos
(
𝜃
)
,
𝑦
=
𝑟
⋅
sin
(
𝜃
)
x=r⋅cos(θ),y=r⋅sin(θ)
These coordinates describe a polar-to-Cartesian transformation.
4. Dynamic Line Drawing
Connecting Points: For each pair of consecutive points, a line is drawn using:
line.new
(
𝑥
1
,
𝑦
1
,
𝑥
2
,
𝑦
2
)
line.new(x
1
,y
1
,x
2
,y
2
)
The coordinates are adjusted by:
bar_index: Aligns the x-axis to the chart’s time-based bar index.
int() Conversion: Ensures x-coordinates are integers, as required by line.new.
Line Properties:
Color: Set by the user.
Width: Fixed at 1 for simplicity.
5. Real-Time Adaptation
The shapes evolve dynamically as new bars form:
Rotation Over Time: The rotation parameter modifies angles proportionally to bar_index, creating a rotating effect.
Bar Index Alignment: Shapes are positioned relative to the current bar on the chart, ensuring synchronization with market data.
6. Visualization and Applications
This script generates evolving geometrical shapes, which have both aesthetic and educational value. Potential applications include:
Mathematical Visualization: Demonstrating the interplay of Fibonacci sequences, trigonometry, and geometry.
Technical Analysis: Serving as a visual overlay for price movement patterns, highlighting cyclical or wave-like behavior.
Dynamic Art: Creating visually appealing and evolving patterns on financial charts.
Scientific Relevance
This code synthesizes principles from:
Mathematical Analysis: Incorporates constants and formulas central to calculus, trigonometry, and algebra.
Geometry: Visualizes patterns derived from polar coordinates and Fibonacci scaling.
Real-Time Systems: Adapts dynamically to market data, showcasing practical applications of mathematics in financial visualization.
If further optimization or additional functionality is required, let me know! 😊
Fibonacci Levels Strategy with High/Low Criteria-AYNETThis code represents a TradingView strategy that uses Fibonacci levels in conjunction with high/low price criteria over specified lookback periods to determine buy (long) and sell (short) conditions. Below is an explanation of each main part of the code:
Explanation of Key Sections
User Inputs for Higher Time Frame and Candle Settings
Users can select a higher time frame (timeframe) for analysis and specify whether to use the "Current" or "Last" higher time frame (HTF) candle for calculating Fibonacci levels.
The currentlast setting allows flexibility between using real-time or the most recent closed higher time frame candle.
Lookback Periods for High/Low Criteria
Two lookback periods, lowestLookback and highestLookback, allow users to set the number of bars to consider when finding the lowest and highest prices, respectively.
This determines the criteria for entering trades based on how recent highs or lows compare to current prices.
Fibonacci Levels Configuration
Fibonacci levels (0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, and 100%) are configurable. These are used to calculate price levels between the high and low of the higher time frame candle.
Each level represents a retracement or extension relative to the high/low range of the HTF candle, providing important price levels for decision-making.
HTF Candle Calculation
HTF candle data is calculated based on the higher time frame selected by the user, using the newbar check to reset htfhigh, htflow, and htfopen values.
The values are updated with each new HTF bar or as prices move within the same HTF bar to track the highest high and lowest low accurately.
Set Fibonacci Levels Array
Using the calculated HTF candle's high, low, and open, the Fibonacci levels are computed by interpolating these values according to the user-defined Fibonacci levels.
A fibLevels array stores these computed values.
Plotting Fibonacci Levels
Each Fibonacci level is plotted on the chart with a different color, providing visual indicators for potential support/resistance levels.
High/Low Price Criteria Calculation
The lowest and highest prices over the specified lookback periods (lowestLookback and highestLookback) are calculated and plotted on the chart. These serve as dynamic levels to trigger long or short entries.
Trade Signal Conditions
longCondition: A long (buy) signal is generated when the price crosses above both the lowest price criteria and the 50% Fibonacci level.
shortCondition: A short (sell) signal is generated when the price crosses below both the highest price criteria and the 50% Fibonacci level.
Executing Trades
Based on the longCondition and shortCondition, trades are entered with the strategy.entry() function, using the labels "Long" and "Short" for tracking on the chart.
Strategy Use
This strategy allows traders to utilize Fibonacci retracement levels and recent highs/lows to identify trend continuation or reversal points, potentially providing entry points aligned with larger market structure. Adjusting the lowestLookback and highestLookback along with Fibonacci levels enables a customizable approach to suit different trading styles and market conditions.
Financial X-RayThe Financial X-Ray is an advanced indicator designed to provide a thorough analysis of a company's financial health and market performance. Its primary goal is to offer investors and analysts a quick yet comprehensive overview of a company's financial situation by combining various key financial ratios and metrics.
How It Works
Data Collection: The indicator automatically extracts a wide range of financial data for the company, covering aspects such as financial strength, profitability, valuation, growth, and operational efficiency.
Sector-Specific Normalization: A unique feature of this indicator is its ability to normalize metrics based on the company's industry sector. This approach allows for more relevant comparisons between companies within the same sector, taking into account industry-specific characteristics.
Standardized Scoring: Each metric is converted to a score on a scale of 0 to 10, facilitating easy comparison and rapid interpretation of results.
Multidimensional Analysis: The indicator doesn't focus on just one financial dimension but offers an overview by covering several crucial aspects of a company's performance.
Fair Value Calculation: Using financial data and market conditions, the indicator provides an estimate of the company's fair value, offering a reference point for assessing current valuation.
Visual Presentation: Results are displayed directly on the TradingView chart in a tabular format, allowing for quick and efficient reading of key information.
Advantages for Users
Time-Saving: Instead of manually collecting and analyzing numerous financial data points, users get an instant comprehensive overview.
Contextual Analysis: Sector-specific normalization allows for a better understanding of the company's performance relative to its peers.
Flexibility: Users can choose which metrics to display, customizing the analysis to their specific needs.
Objectivity: By relying on quantitative data and standardized calculations, the indicator offers an objective perspective on the company's financial health.
Decision Support: The fair value estimate and normalized scores provide valuable reference points for investment decision-making.
Customization and Evolution
One of the major strengths of this indicator is its open-source nature. Users can modify the code to adjust normalization methods, add new metrics, or adapt the display to their preferences. This flexibility allows the indicator to evolve and continuously improve through community contributions.
In summary, the Financial X-Ray is a powerful tool that combines automation, contextual analysis, and customization to provide investors with a clear and comprehensive view of companies' financial health, facilitating informed decision-making in financial markets.
This Financial X-Ray indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The data and calculations used in this indicator may not be accurate or up-to-date. Users should always conduct their own research and consult with a qualified financial advisor before making any investment decisions. The creator of this indicator is not responsible for any losses or damages resulting from its use.
Weekly COTAdjusted COT Index
Improves upon: "COT Index Commercials vs large and small Speculators" by SystematicFutures
How: CoT Indexes are adjusted by Open Interest to normalise data over time, and threshold background colours are in-line with Larry Williams recommendations from his book.
Note: This indicator is **only** accurate on the Daily time-frame due to the mid-week release date for CoT data.
This script calculates and plots the Adjusted Commitment of Traders (COT) Index for Commercial, Large Speculator, and Retail (Small Speculator) categories.
The CoT Index is adjusted by Open Interest to normalise data through time, following the methodology of Larry Williams, providing insights into how these groups are positioned in the market with an arguably more historically accurate context.
COT Categories
-------------------
- Commercials (Producers/Hedgers): Large entities hedging against price changes in the underlying asset.
- Large Speculators (Non-commercials): Professional traders and funds speculating on price movements.
- Retail Traders (Nonreportable/Small Speculators): Small individual traders, typically less informed.
Features
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- Open Interest Adjustment
- The net positions for each category are normalized by Open Interest to account
for varying contract sizes.
- Customisable Look-back Period
- You can adjust the number of weeks for the index calculation to control the
historical range used for comparison.
- Thresholds for Extremes
- Upper and lower thresholds (configurable) are provided to mark overbought and
oversold conditions.
- Defaults
- Overbought: <=20
- Oversold: >= 80
- Hide Current Week Option
- Optionally hide the current week's data until market close for more accurate comparison.
- Visual Aids
- Plot the Commercials, Large Speculators, and Retail indexes, and optionally highlight extreme positioning.
Inputs
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- weeks
- Number of weeks for historical range comparison.
- upperExtreme and lowerExtreme
- Thresholds to identify overbought/oversold conditions (default 80/20).
- hideCurrentWeek
- Option to hide current week's data until market close.
- markExtremes
- Highlight extremes where any index crosses the upper or lower thresholds.
- Options to display or hide indexes for Commercials, Large Speculators, and Small Speculators.
Outputs
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- The script plots the COT Index for each of the three categories and highlights periods of extreme positioning with customisable thresholds.
Usage
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- This tool is useful for traders who want to track the positioning of different market participants over time.
- By identifying the extreme positions of Commercials, Large Speculators, and Retail traders, it can give insights into market sentiment and potential reversals.
- Reversals of trend can be confirmed with RSI Divergence (daily), for example
- Continuation can be confirmed with RSI overbought/oversold conditions (daily), and/or hidden RSI Hidden Divergence, for example
Fed Fund Futures Custom AverageThis indicator helps traders track the expected average interest rate for the upcoming 12 months based on Fed Fund Futures. It calculates the average price of the next 12 monthly futures contracts and also shows the spread against the 1-Year US Treasury yield (US01Y). This can be useful for understanding market expectations regarding interest rate changes and identifying trading opportunities related to interest rate movements.
DOGE MVRV Z-ScoreThe MVRV-Z score is a relative indicator, which is the "circulating market value" of Dogecoin minus the "realized market value", and then standardized by the standard of the circulating market value. The formula is:
MVRV-Z Score = (circulation market capitalization - realized market capitalization) / Standard Deviation (circulation market capitalization)
The "realized market value" is based on the value of transactions on-chain, calculating the sum of the "last movement value" of all Dogecoins on the chain. Therefore, when this indicator is too high, it means that the market value of Dogecoin is overvalued relative to its actual value, which is detrimental to the price of Dogecoin; otherwise, it means that the market value of Dogecoin is undervalued. According to past historical experience, when this indicator is at a historical high, the probability of a downward trend in Dogecoin prices increases, and attention should be paid to the risks of chasing higher prices.
Sharpe Ratio Z-ScoreThis indicator calculates the Sharpe Ratio and its Z-Score , which are used to evaluate the risk-adjusted return of an asset over a given period. The Sharpe Ratio is computed using the average return and the standard deviation of returns, while the Z-Score standardizes this ratio to assess how far the current Sharpe Ratio deviates from its historical average.
The Sharpe Ratio is a measure of how much return an investment has generated relative to the risk it has taken. In the context of this script, the risk-free rate is assumed to be 0, but in real applications, it would typically be the return on a safe investment, like a Treasury bond. A higher Sharpe Ratio indicates that the investment's returns are higher compared to its risk, making it a more favorable investment. Conversely, a lower Sharpe Ratio suggests that the investment may not be worth the risk.
Calculation:
Daily Returns Calculation: The script calculates the daily return of the asset. This measures the percentage change in the asset’s closing price from one period to the next.
Sharpe Ratio Calculation: The Sharpe Ratio is calculated by taking the average daily return and dividing it by the standard deviation of the returns, then multiplying by the square root of the period length.
Usage:
Traders and Investors can use the Sharpe Ratio to evaluate how well the asset is compensating for risk. A high Sharpe Ratio indicates a high return per unit of risk, whereas a low or negative Sharpe Ratio suggests poor risk-adjusted returns. In overbought times, an asset would have high/positive returns per unit of risk. In oversold times, an asset would have low/negative returns per unit of risk.
The Z-Score provides a way to compare the current Sharpe Ratio to its historical distribution, offering a more standardized view of how extreme or typical the current ratio is.
Positive Z-score: Indicates that the asset's return is significantly lower than its risk, suggesting potential oversold conditions.
Negative Z-score: Indicates that the asset's return is significantly higher than its risk, suggesting potential overbought conditions.
Red Zone (-3 to -2): Strong overbought conditions.
Green Zone (2 to 3): Strong oversold conditions.
Sharpe Ratio Limitations:
While the Sharpe Ratio is widely used to evaluate risk-adjusted returns, it has its limitations.
Fat Tails: It assumes that returns are normally distributed and does not account for extreme events or "fat tails" in the return distribution. This can be problematic for assets like cryptocurrencies, which may experience large, sudden price swings that skew the return distribution.
Single Risk Factor: The Sharpe Ratio only considers standard deviation (total volatility) as a measure of risk, ignoring other types of risks like skewness or kurtosis, which may also impact an asset’s performance.
Time Frame Sensitivity: The accuracy of the Sharpe Ratio and its Z-Score is heavily influenced by the time frame chosen for the calculation. A longer period may smooth out short-term fluctuations, while a shorter period might be more sensitive to recent volatility.
Overbought and Oversold Zones: The script marks overbought and oversold conditions based on the Z-Score, but this is not a guarantee of market reversal. It’s important to combine this tool with other technical indicators and fundamental analysis for a more comprehensive market evaluation.
Volatility: The Sharpe Ratio and Z-Score depend on the volatility (standard deviation) of the asset’s returns. For highly volatile assets, such as cryptocurrencies, the Sharpe Ratio may not fully capture the true risk or may be misleading if the volatility is transient.
Doesn't Account for Downside Risk: The Sharpe Ratio treats upside and downside volatility equally, which may not reflect how investors perceive risk. Some investors may be more concerned with downside risk, which the Sharpe Ratio does not distinguish from upside fluctuations.
Important Considerations:
The Sharpe Ratio should not be used in isolation. While it provides valuable insights into risk-adjusted returns, it is important to combine it with other performance and risk indicators to form a more comprehensive market evaluation. Relying solely on the Sharpe Ratio may lead to misleading conclusions, particularly in volatile or non-normally distributed markets.
When integrated into a broader investment strategy, the Sharpe Ratio can help traders and investors better assess the risk-return profile of an asset, identifying periods of potential overperformance or underperformance. However, it should be used alongside other tools to ensure more informed decision-making, especially in highly fluctuating markets.
COIN/ETH RatioThis TradingView indicator calculates and visualizes the ratio between Coinbase's stock price (COIN) and Ethereum's price (ETH) to help traders compare Coinbase's performance relative to Ethereum over time. This can be useful for those interested in understanding correlations or relative strength between a traditional crypto exchange stock and a major cryptocurrency.
Globex time (New York Time)This indicator is designed to highlight and analyze price movements within the Globex session. Primarily geared toward the Globex Trap trading strategy, this tool visually identifies the session's high and low prices, allowing traders to better assess price action during extended hours. Here’s a comprehensive breakdown of its features and functionality:
Purpose
The "Globex Time (New York Time)" indicator tracks price levels during the Globex trading session, providing a clear view of overnight market activity. This session, typically running from 6 p.m. ET (18:00) until the following morning at 8:30 a.m. ET, is a critical period where significant market positioning can occur before the regular session opens. In the Globex Trap strategy, the session high and low are essential levels, as price movements around these areas often indicate potential support, resistance, or reversal zones, which traders use to set up entries or exits when the regular trading session begins.
Key Features
Customizable Session Start and End Times
The indicator allows users to specify the exact start and end times of the Globex session in New York time. The default settings are:
Start: 6 p.m. ET (18:00)
End: 8:30 a.m. ET
These settings can be adjusted to align with specific market hours or personal preferences.
Session High and Low Identification
Throughout the defined session, the indicator dynamically calculates and tracks:
Session High: The highest price reached within the session.
Session Low: The lowest price reached within the session.
These levels are essential for the Globex Trap strategy, as price action around them can indicate likely breakout or reversal points when regular trading resumes.
Vertical Lines for Session Start and End
The indicator draws vertical lines at both the session start and end times:
Session Start Line: A solid line marking the exact beginning of the Globex session.
Session End Line: A similar vertical line marking the session’s conclusion.
Both lines are customizable in terms of color and thickness, making it easy to distinguish the session boundaries visually on the chart.
Horizontal Lines for Session High and Low
At the end of the session, the indicator plots horizontal lines representing the Globex session's high and low levels. Users can customize these lines:
Color: Define specific colors for the session high (default: red) and session low (default: green) to easily differentiate them.
Line Style: Options to set the line style (solid, dashed, or dotted) provide flexibility for visual preferences and chart organization.
Automatic Reset for Daily Tracking
To adapt to the next trading day, the indicator resets the session high and low data once the current session ends. This reset prepares it to start tracking new levels at the beginning of the next session without manual intervention.
Practical Application in the Globex Trap Strategy
In the Globex Trap strategy, traders are primarily interested in price behavior around the high and low levels established during the overnight session. Common applications of this indicator for this strategy include:
Breakout Trades: Watching for price to break above the Globex high or below the Globex low, indicating potential momentum in the breakout direction.
Reversal Trades: Monitoring for failed breakouts or traps where price tests and rejects the Globex high or low, suggesting a reversal as liquidity is trapped in these zones.
Support and Resistance Zones: Using the session high and low as key support and resistance levels during the regular trading session, with potential entry or exit points when price approaches these areas.
Additional Configuration Options
Vertical Line Color and Width: Define the color and thickness of the vertical session start and end lines to match your chart’s theme.
Upper and Lower Line Colors and Styles: Customize the appearance of the session high and low horizontal lines by setting color and line style (solid, dashed, or dotted), making it easy to distinguish these critical levels from other chart markings.
Summary
This indicator is a valuable tool for traders implementing the Globex Trap strategy. It visually segments the Globex session and marks essential price levels, helping traders analyze market behavior overnight. Through its customizable options and clear visual representation, it simplifies tracking overnight price activity and identifying strategic levels for potential trade setups during the regular session.
