Market Structure V3Indicator Description:
The Market Structure indicator is a unique and innovative tool for identifying and visualizing key market structures based on dynamic swing highs and lows. This indicator stands apart from similar tools by utilizing a distinct methodology for updating levels and identifying trends, ensuring precision and flexibility in market analysis.
Key Features of Uniqueness:
1. No Fixed Lookback Periods for Extremum Detection:
- Unlike most indicators that rely on a predefined number of candles (lookback period) to determine highs or lows, this script dynamically updates levels based solely on price action.
- A new high (resistance) or low (support) is confirmed only when the closing price breaks above the previous high or below the previous low, representing the last significant extremums .
- This approach eliminates arbitrary lookback-based restrictions, allowing the indicator to adapt seamlessly to different market conditions and timeframes.
2. Dynamic Level Adjustments:
- Levels are recalculated and adjusted in real time as new price action unfolds, providing traders with highly accurate and relevant support and resistance levels.
- The upper and lower bounds serve as dynamic anchors for trend analysis, updating only when a confirmed breakout occurs.
3. Fractal and Trend-Driven Logic:
- The script inherently respects the fractal nature of price movements by focusing on confirmed breakouts of previous significant extremums , avoiding reliance on shorter-term noise.
- This makes the indicator particularly effective for identifying true trend reversals and continuations.
4. Visual Clarity and Structure Mapping:
- The indicator labels the following structural points directly on the chart:
- **Higher Highs (HH)** for uptrend confirmation.
- **Lower Highs (LH)** for potential trend weakening.
- **Lower Lows (LL)** for downtrend confirmation.
- **Higher Lows (HL)** for potential trend reversals.
- Levels and labels are updated dynamically and accurately reflect the market's structural evolution.
5. Clean and Noise-Free Analysis:
- The absence of arbitrary inputs (e.g., lookback periods) ensures the indicator focuses only on meaningful price action, reducing false signals.
- Works seamlessly across all instruments and timeframes without requiring constant parameter adjustments.
6. Highly Adaptable:
- Suitable for any financial market, including stocks, forex, and cryptocurrencies.
- Performs equally well on all timeframes, from intraday to long-term analysis.
How the Indicator Works:
1. Dynamic Level Updates :
- The indicator evaluates price action in real time and identifies significant levels based on breakouts above previous highs or below previous lows.
- Upper Bound (Resistance) : Updated only when the closing price exceeds the previous significant high.
- Lower Bound (Support) : Updated only when the closing price falls below the previous significant low.
2. Trend Determination:
- Identifies and marks structural points (HH, LH, LL, HL) as trends develop.
- Swing points are updated dynamically without relying on fixed lookback parameters, ensuring that levels reflect the true market structure.
3. Confirmation Logic:
- The script uses a user-configurable parameter `Extremum confirmation bars count` to refine the process of confirming significant swing points.
- This ensures flexibility in adapting to different market conditions while maintaining precision in level detection.
Unique Advantages Over Similar Indicators:
1. No Arbitrary Inputs:
- Unlike other indicators that require users to set the number of candles for extremum detection, this script eliminates the need for such settings, relying solely on actual price breakouts.
2. Dynamic Real-Time Adjustments:
- The logic of level updates is event-driven (based on closing prices crossing key levels), making it more reactive and precise compared to static lookback-based calculations.
3. Enhanced Structural Clarity:
- Focuses exclusively on confirmed significant levels , avoiding clutter and ambiguity often seen in lookback-based indicators.
4. Fractal and Self-Adaptive Nature:
- The script inherently respects market fractality, making it effective across all timeframes and market conditions.
Practical Applications:
- Trend Identification:
Helps identify whether the market is in an uptrend, downtrend, or consolidation phase.
- Entry and Exit Points:
Use swing highs and lows as references for entering or exiting positions.
- Support and Resistance Levels:
Dynamic levels provide actionable areas for placing stop-losses and take-profits.
Input Parameters:
- Extremum Confirmation Bars Count:
Adjusts the sensitivity of extremum detection. The higher the value, the more conservative the indicator becomes in confirming levels. Default is `3`.
Chart Setup and Usage Notes:
1. Clean Visualization:
- Ensure a clean chart for better visibility of structural points and levels.
- Do not overlay with additional indicators unless explicitly required.
2. User Guidance:
- Combine this indicator with volume analysis or other confirmation tools to enhance decision-making.
Disclaimer:
This indicator is for educational purposes only and does not constitute financial advice. Always perform your own analysis and trade responsibly.
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Momentum Matrix (BTC-COIN)The Momentum Matrix (BTC-COIN) indicator analyzes the momentum relationship between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). By combining RSI, correlation, and dominance metrics, it identifies bullish and bearish macro trends to align trades with market momentum.
How It Works
Price Inputs: Pulls weekly price data for CRYPTOCAP:BTC and NASDAQ:COIN for macro analysis.
Metrics Calculated:
• RSI Divergence: Measures momentum differences between CRYPTOCAP:BTC and $COIN.
• Price Ratio: Tracks the $COIN/ CRYPTOCAP:BTC relationship relative to its long-term average (SMA).
• Correlation: Analyzes price co-movement between CRYPTOCAP:BTC and $COIN.
• Dominance Impact: Incorporates CRYPTOCAP:BTC dominance for broader crypto trends.
Composite Momentum Score: Combines these metrics into a smoothed macro momentum value.
Thresholds for Trend Detection: Upper and lower thresholds dynamically adapt to market conditions.
Signals and Visualization:
• Buy Signal: Momentum exceeds the upper threshold, indicating bullish trends.
• Sell Signal: Momentum falls below the lower threshold, indicating bearish trends.
• Background Colors: Green (bullish), Red (bearish).
Strengths
Integrates multiple metrics for robust macro analysis.
Dynamic thresholds adapt to market conditions.
Effective for identifying macro momentum shifts.
Limitations
Lag in high volatility due to smoothing.
Less effective in choppy, sideways markets.
Assumes CRYPTOCAP:BTC dominance drives NASDAQ:COIN momentum, which may not always hold true.
Improvements
Multi-Timeframe Analysis: Add daily or monthly data for precision.
Volume Filters: Include volume thresholds for signal validation.
Additional Metrics: Consider MACD or Stochastics for further confirmation.
Complementary Tools
Volume Indicators: OBV or cumulative delta for confirmation.
Trend-Following Systems: Pair with moving averages for timing.
Market Breadth Metrics: Combine with CRYPTOCAP:BTC dominance trends for context.
COIN/BTC Trend OscillatorThe COIN/BTC Trend Oscillator is a versatile tool designed to measure and visualize momentum divergences between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). It helps identify overbought and oversold conditions, while also highlighting potential trend reversals.
Key Features:
VWAP-Based Divergence Analysis:
• Tracks the difference between NASDAQ:COIN and CRYPTOCAP:BTC relative to their respective VWAPs.
• Highlights shifts in momentum between the two assets.
Normalized Oscillator:
• Uses ATR normalization to adapt to different volatility conditions.
• Displays momentum shifts on a standardized scale for better comparability.
Overbought and Oversold Conditions:
• Identifies extremes using customizable thresholds (default: ±80).
• Dynamic background colors for quick visual identification:
• Blue for overbought zones (potential sell).
• White for oversold zones (potential buy).
Rolling Highs and Lows Detection:
• Tracks turning points in the oscillator to identify possible trend reversals.
• Useful for spotting exhaustion or accumulation phases.
Use Case:
This indicator is ideal for trading Coinbase stock relative to Bitcoin’s momentum. It’s especially useful during strong market trends, helping traders time entries and exits based on extremes in relative performance.
Limitations:
• Performance may degrade in choppy or sideways markets.
• Assumes a strong correlation between NASDAQ:COIN and CRYPTOCAP:BTC , which may not hold during independent events.
Pro Tip: Use this oscillator with broader trend confirmation tools like moving averages or RSI to improve reliability. For macro strategies, consider combining with higher timeframes for alignment.
R-based Strategy Template [Daveatt]Have you ever wondered how to properly track your trading performance based on risk rather than just profits?
This template solves that problem by implementing R-multiple tracking directly in TradingView's strategy tester.
This script is a tool that you must update with your own trading entry logic.
Quick notes
Before we dive in, I want to be clear: this is a template focused on R-multiple calculation and visualization.
I'm using a basic RSI strategy with dummy values just to demonstrate how the R tracking works. The actual trading signals aren't important here - you should replace them with your own strategy logic.
R multiple logic
Let's talk about what R-multiple means in practice.
Think of R as your initial risk per trade.
For instance, if you have a $10,000 account and you're risking 1% per trade, your 1R would be $100.
A trade that makes twice your risk would be +2R ($200), while hitting your stop loss would be -1R (-$100).
This way of measuring makes it much easier to evaluate your strategy's performance regardless of account size.
Whenever the SL is hit, we lose -1R
Proof showing the strategy tester whenever the SL is hit: i.imgur.com
The magic happens in how we calculate position sizes.
The script automatically determines the right position size to risk exactly your specified percentage on each trade.
This is done through a simple but powerful calculation:
risk_amount = (strategy.equity * (risk_per_trade_percent / 100))
sl_distance = math.abs(entry_price - sl_price)
position_size = risk_amount / (sl_distance * syminfo.pointvalue)
Limitations with lower timeframe gaps
This ensures that if your stop loss gets hit, you'll lose exactly the amount you intended to risk. No more, no less.
Well, could be more or less actually ... let's assume you're trading futures on a 15-minute chart but in the 1-minute chart there is a gap ... then your 15 minute SL won't get filled and you'll likely to not lose exactly -1R
This is annoying but it can't be fixed - and that's how trading works anyway.
Features
The template gives you flexibility in how you set your stop losses. You can use fixed points, ATR-based stops, percentage-based stops, or even tick-based stops.
Regardless of which method you choose, the position sizing will automatically adjust to maintain your desired risk per trade.
To help you track performance, I've added a comprehensive statistics table in the top right corner of your chart.
It shows you everything you need to know about your strategy's performance in terms of R-multiples: how many R you've won or lost, your win rate, average R per trade, and even your longest winning and losing streaks.
Happy trading!
And remember, measuring your performance in R-multiples is one of the most classical ways to evaluate and improve your trading strategies.
Daveatt
Spread Analysis (COIN/BTC)The Spread Analysis (COIN/BTC) indicator calculates the Z-score of the price ratio between Coinbase stock ( NASDAQ:COIN ) and Bitcoin ( CRYPTOCAP:BTC ). It helps identify overbought or oversold conditions based on deviations from the historical mean of their price relationship.
Key Features:
Z-Score Calculation:
• Tracks the relative price ratio of NASDAQ:COIN to $BTC.
• Compares the current ratio to its historical average, highlighting extreme overvaluation or undervaluation.
• Buy and Sell Signals:
• Buy Signal: Triggered when the Z-score is less than -2, indicating NASDAQ:COIN may be undervalued relative to $BTC.
• Sell Signal: Triggered when the Z-score exceeds 2, suggesting NASDAQ:COIN may be overvalued relative to $BTC.
• Dynamic Z-Score Visualization:
• Blue line plots the Z-score over time.
• Dashed lines at +2 and -2 mark overbought and oversold thresholds.
• Green and red triangles highlight actionable buy and sell signals.
Use Case:
This indicator is ideal for identifying relative valuation opportunities between NASDAQ:COIN and $BTC. Use it to exploit divergences in their historical relationship and anticipate potential reversions to the mean.
Limitations:
• Best suited for range-bound markets; may produce false signals in strongly trending conditions.
• Assumes a consistent correlation between NASDAQ:COIN and CRYPTOCAP:BTC , which may break during independent price drivers like news or earnings.
ToolsPosLibrary "ToolsPos"
Library for general purpose position helpers
new_pos(state, price, when, index)
Returns new PosInfo object
Parameters:
state (series PosState) : Position state
price (float) : float Entry price
when (int) : int Entry bar time UNIX. Default: time
index (int) : int Entry bar index. Default: bar_index
Returns: PosInfo
new_tp(pos, price, when, index, info)
Returns PosInfo object with new take profit info object
Parameters:
pos (PosInfo) : PosInfo object
price (float) : float Entry price
when (int) : int Entry bar time UNIX. Default: time
index (int) : int Entry bar index. Default: bar_index
info (Info type from aybarsm/Tools/14) : Info holder object. Default: na
Returns: PosInfo
new_re(pos, price, when, index, info)
Returns PosInfo object with new re-entry info object
Parameters:
pos (PosInfo) : PosInfo object
price (float) : float Entry price
when (int) : int Entry bar time UNIX. Default: time
index (int) : int Entry bar index. Default: bar_index
info (Info type from aybarsm/Tools/14) : Info holder object. Default: na
Returns: PosInfo
PosTPInfo
PosTPInfo - Position Take Profit info object
Fields:
price (series float) : float Take profit price
when (series int) : int Take profit bar time UNIX. Default: time
index (series int) : int Take profit bar index. Default: bar_index
info (Info type from aybarsm/Tools/14) : Info holder object
PosREInfo
PosREInfo - Position Re-Entry info object
Fields:
price (series float) : float Re-entry price
when (series int) : int Re-entry bar time UNIX. Default: time
index (series int) : int Take profit bar index. Default: bar_index
info (Info type from aybarsm/Tools/14) : Info holder object
PosInfo
PosInfo - Position info object
Fields:
state (series PosState) : Position state
price (series float) : float Entry price
when (series int) : int Entry bar time UNIX. Default: time
index (series int) : int Entry bar index. Default: bar_index
tp (array) : PosTPInfo Take profit info. Default: na
re (array) : PosREInfo Re-entry info. Default: na
info (Info type from aybarsm/Tools/14) : Info holder object
ToolsCollectionLibrary "ToolsCollection"
Helper functions for collection (map/array) type operations
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (bool) : Default return value when key not found. Default: false
Returns: bool
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (int) : Default return value when key not found. Default: -1
Returns: int
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (float) : Default return value when key not found. Default: -1
Returns: float
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (string) : Default return value when key not found. Default: ''
Returns: string
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (string) : Key to be checked
default (color) : Default return value when key not found. Default: color.white
Returns: color
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (bool) : Default return value when key not found. Default: false
Returns: bool
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (int) : Default return value when key not found. Default: -1
Returns: int
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (float) : Default return value when key not found. Default: -1
Returns: float
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (string) : Default return value when key not found. Default: ''
Returns: string
get(container, key, default)
Returns Map key's value with default return value option
Parameters:
container (map) : Map object
key (int) : Key to be checked
default (color) : Default return value when key not found. Default: color.white
Returns: color
get(container, key, default)
Returns Array key's value with default return value option
Parameters:
container (array) : Array object
key (int) : Key to be checked
default (bool) : Default return value when key not found. Default: false
Returns: bool
get(container, key, default)
Returns Array key's value with default return value option
Parameters:
container (array) : Array object
key (int) : Key to be checked
default (int) : Default return value when key not found. Default: -1
Returns: bool
get(container, key, default)
Returns Array key's value with default return value option
Parameters:
container (array) : Array object
key (int) : Key to be checked
default (float) : Default return value when key not found. Default: -1
Returns: bool
get(container, key, default)
Returns Array key's value with default return value option
Parameters:
container (array) : Array object
key (int) : Key to be checked
default (string) : Default return value when key not found. Default: ''
Returns: bool
get(container, key, default)
Returns Array key's value with default return value option
Parameters:
container (array) : Array object
key (int) : Key to be checked
default (color) : Default return value when key not found. Default: color.white
Returns: bool
DCA Alpha 1.0 Trading Tool for Dollar-Cost Averaging
Description:
DCA Alpha 1.0 is a precision-engineered trading tool designed to assist traders and investors in accumulating assets during market downturns. Using proprietary algorithms that combine momentum decay, extreme price deviation metrics, trend dynamics, divergence analysis, and mean regression, it identifies potential bottom extreme zones in various asset classes such as indices, stocks, crypto, and commodities.
This indicator highlights market conditions where assets are oversold, undervalued, or experiencing capitulation—providing disciplined, unleveraged dollar-cost averaging (DCA) opportunities. Ideal for long-term growth strategies, DCA Alpha 1.0 helps cut through market noise, pinpointing moments of peak fear and maximum reward potential.
Whether navigating volatile crypto markets, timing corrections in indices, or accumulating commodities, DCA Alpha 1.0 serves as a vital tool for mastering the art of buying low and building your assets up strategically.
Instructions:
Getting Started:
Add the Indicator:
Install DCA Alpha 1.0 on your TradingView chart.
Select your preferred asset class: stocks, indices, crypto, or commodities.
Choose an appropriate timeframe (e.g., daily or weekly for long-term DCA strategies).
Customize Inputs: Adjust the following settings to align with your strategy:
Percentage of Equity to Trade: Define the portion of your portfolio to allocate per signal (default: 1% equity).
Profit Target Percentages: Set thresholds for locking in gains (default: 50% on lower timeframes, 500% on higher timeframes).
Zones and Signals:
Extreme Negative Zones:
What It Represents:
These zones highlight conditions where prices are deeply oversold, indicating extreme bearish sentiment. The market is likely nearing a bottom, offering high-probability buying opportunities.
Entry Signals:
When the price enters these extreme negative zones, visual markers (e.g., green triangles or other indicators) will signal a potential buying opportunity. These moments are indicative of market exhaustion, signaling that a reversal could be imminent.
Momentum Decay & Divergence:
Momentum decay occurs when price movement slows over time. In extreme negative zones, if prices continue to fall but at a diminishing rate (e.g., decreased volume or a fading oscillator), it suggests weakening bearish momentum. This, coupled with bullish divergence (oscillator forming higher lows while price makes lower lows), signifies a reversal, making it an ideal point to consider dollar-cost averaging into the asset.
Neutral Zones:
What It Represents:
The neutral zone is a state of market equilibrium, where prices are neither overbought nor oversold. The market is in a balanced state, with no strong trend emerging.
Mean Regression:
In a neutral zone, the market is reverting to its mean or average price after overreacting in either direction. A price transition from extreme zones (overbought/oversold) to the neutral zone suggests a reversion to the market's long-term average, making this a period of reduced volatility and uncertainty.
Entering or Exiting Neutral Zones:
Traders should avoid entering or exiting positions during neutral zone conditions unless transitioning from an extreme zone (negative or positive). Transitioning from an extreme negative zone to neutral may suggest an opportunity to accumulate assets gradually, while a shift from neutral to an extreme negative zone may indicate a deeper correction and warrant caution.
Momentum Decay & Divergence (Exiting Neutral Zone):
If prices are rising but the oscillator shows lower highs (bearish divergence), and momentum is fading, this could signal a pullback. A transition out of the neutral zone in this context may prompt traders to hold off on new positions or consider profit-taking.
Extreme Positive Zones:
What It Represents:
Markets can also become overbought or overvalued. When price enters extreme positive zones, the asset may be overvalued, suggesting potential selling or a waiting period.
Exit Signals:
Red triangle indicators signal potential exit points when prices reach overbought conditions, signaling a time to lock in profits and reduce exposure.
Momentum Decay & Divergence (Exiting Positive Zone):
When prices are making new highs but momentum is weakening (momentum decay) and the oscillator is showing lower highs (bearish divergence), this could indicate a faltering rally. Such conditions represent an ideal time to reduce exposure or exit positions.
Key Inputs for Customization:
Percentage of Equity to Trade:
This setting allows you to allocate a portion of your total portfolio per buy signal. By default, 1% of equity is used per signal, but this can be adjusted based on your risk tolerance and strategy.
Profit Target Percentages:
These thresholds help lock in gains once the price moves a set percentage in your favor.
Lower Timeframes: Default profit target of 50%.
Higher Timeframes: Default profit target of 500%.
These settings can be customized for specific risk/reward preferences.
Warning!!! : Aggressive Mode
Aggressive Mode is an advanced feature designed for traders who want to increase the frequency of signals during periods of market volatility. This mode will trigger more frequent entries, even into slightly less extreme zones, capturing short-term reversals.
What Aggressive Mode Does:
It amplifies signals by allowing the tool to identify more frequent price reversals, including brief market corrections, increasing trade frequency. While this can offer more trading opportunities, it also exposes you to higher risk.
Warning:
Aggressive Mode should be used only by experienced traders familiar with short-term volatility. The increased frequency of signals could lead to higher risk exposure. Ensure robust risk management practices, such as stop-loss orders and profit-taking strategies, are in place before activating this mode.
Default Setting:
Aggressive Mode is disabled by default. It can be activated at your discretion based on your experience level and risk appetite.
Best Practices:
Focus on High-Quality Assets: Prioritize assets with strong recovery potential (e.g., major indices, blue-chip cryptocurrencies).
Use Longer Timeframes: Minimize market noise and optimize your DCA strategy by focusing on higher timeframes (e.g., daily or weekly charts).
Review Trading Inputs: Regularly adjust your inputs to ensure they align with your financial goals and risk tolerance.
Implement Risk Management: Use stop-loss orders and profit targets to manage risk, especially when using Aggressive Mode.
Disclaimer:
DCA Alpha 1.0 is designed specifically for unleveraged, long-term dollar-cost averaging strategies. It is not intended for day trading or leveraged positions. The tool excels at identifying market dips but cannot guarantee success. Users are fully responsible for their own risk management, including the use of stop-losses, profit targets, and position sizing.
Aggressive Mode increases trade frequency and may lead to higher exposure and potential losses. Only experienced traders should consider using this mode. Always understand the risks involved before incorporating this tool into your trading strategy.
Weekly Covered Calls StrategyWhat Does This Indicator Do?
This indicator is a tool to help you pick strike prices for your weekly covered call options strategy. It does two things:
Plots two suggested strike prices on your chart:
Aggressive Strike (red label): A strike price closer to the current price, offering higher premiums but with a higher chance of assignment.
Moderate Strike (blue label): A strike price further from the current price, offering lower premiums but with a lower chance of assignment.
Uses technical analysis (volatility) to calculate these strike prices dynamically. It adjusts them based on the market's volatility and your chosen risk settings.
How It Works:
The indicator uses the following inputs to determine the strike prices:
ATR (Average True Range):
This measures the stock's volatility (how much the stock moves up or down over a given period).
A higher ATR = more volatile stock = wider range for strike prices.
Delta Adjustments:
The default settings use Delta values of 0.12 (Aggressive) and 0.18 (Moderate).
Delta is a concept in options trading that estimates the likelihood of the option being "in the money" (ITM) by expiration.
A 0.12 Delta = 12% chance of assignment (Aggressive)
A 0.18 Delta = 18% chance of assignment (Moderate)
Volatility Factor:
This multiplies the ATR by a factor (default is 1.5) to estimate the expected price move and adjust strike prices accordingly.
How to Use the Indicator:
Step 1: Understand the Labels
Red Label (Aggressive Strike):
Closer to the current stock price.
You’ll collect higher premiums because the strike price is riskier (closer to being ITM).
Best for traders comfortable with a higher risk of assignment.
Blue Label (Moderate Strike):
Further from the current stock price.
You’ll collect lower premiums because the strike price is safer (further from being ITM).
Best for traders looking to avoid assignment and collect safer weekly income.
Step 2: Match It to the Options Chain
Open your options chain (like the one you see in Fidelity, TOS, or TradingView).
Look for the strike prices closest to the red (aggressive) and blue (moderate) labels plotted by the indicator.
Compare the premiums (the amount you collect for selling the call) and decide:
If you want higher income: Go with the Aggressive Strike.
If you want safety: Go with the Moderate Strike.
Step 3: Manage Your Risk and Income
Avoid Assignment:
If you do not want your shares to be called away, choose strike prices further from the current price (e.g., moderate strike).
Maximize Premiums:
If you’re okay with a chance of your shares being called away, choose the closer aggressive strike for higher premium income.
Weekly Income Goal:
Use this strategy consistently each week to collect premium income while holding your shares.
Step 4: Adjust for Your Risk Tolerance
You can adjust the Delta values (0.12 for Aggressive and 0.18 for Moderate) to suit your risk tolerance:
Lower Delta (e.g., 0.08–0.10): Safer, fewer chances of assignment, lower premiums.
Higher Delta (e.g., 0.20–0.25): Riskier, higher chances of assignment, higher premiums.
Technical Analysis Summary (What the Indicator Uses):
The indicator uses ATR (Average True Range) to measure volatility and estimate how far the price might move.
It then multiplies ATR by a Volatility Factor to calculate the strike prices.
Using the Delta Adjustment settings, it adjusts these strike prices to give you a balance between risk and reward.
Putting It All Together:
Look at the Chart: The indicator will show two lines and labels for strike prices.
Check the Options Chain: Find the closest strike prices and compare premiums.
Decide Your Strategy:
Want higher premium income? Choose the Aggressive Strike (red label).
Want lower risk of assignment? Choose the Moderate Strike (blue label).
Collect Weekly Income: Sell the call option and repeat this process weekly to generate consistent income.
Happy trading, and may your premiums roll in while your shares stay safe! 🎯📊
CandelaCharts - Swing Failure Pattern (SFP) 📝 Overview
The Swing Failure Pattern (SFP) indicator is designed to identify and highlight Swing Failure Patterns on a user’s chart. This pattern typically emerges when significant market participants generate liquidity by driving price action to key levels. An SFP occurs when the price temporarily breaks above a resistance level or below a support level, only to quickly reverse and return within the previous range. These movements are often associated with stop-loss hunting or liquidity grabs, providing traders with potential opportunities to anticipate reversals or key market turning points.
A Bullish SFP occurs when the price dips below a key support level, triggering stop-loss orders, but then swiftly reverses upward, signaling a potential upward trend or reversal.
A Bearish SFP happens when the price spikes above a key resistance level, triggering stop-losses of short positions, but then quickly reverses downward, indicating a potential bearish trend or reversal.
The indicator is a powerful tool for traders, helping to identify liquidity grabs and potential reversal points in real-time. By marking bullish and bearish Swing Failure Patterns on the chart, it provides clear visual cues for spotting market traps set by major players, enabling more informed trading decisions and improved risk management.
📦 Features
Bullish/Bearish SFPs
Styling
⚙️ Settings
Length: Determines the detection length of each SFP
Bullish SFP: Displays the bullish SFPs
Bearish SFP: Displays the bearish SFPs
Label: Controls the labels size
⚡️ Showcase
Bullish
Bearish
Both
📒 Usage
The best approach is to combine a few complementary indicators to gain a clearer market perspective. This doesn’t mean relying on the Golden Cross, RSI divergences, SFPs, and funding rates simultaneously, but rather focusing on one or two that align well in a given scenario.
The example above demonstrates the confluence of a Bearish Swing Failure Pattern (SFP) with an RSI divergence. This combination strengthens the signal, as the Bearish SFP indicates a potential reversal after a liquidity grab, while the RSI divergence confirms weakening momentum at the key level. Together, these indicators provide a more robust setup for identifying potential market reversals with greater confidence.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is triggered when a Bearish SFP is formed.
Bullish Signal
A bullish signal is triggered when a Bullish SFP is formed.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Candle Open Time labels (& TAPDA Lines)Description of the "4-Hour Candle Opening Times (TAPDA Lines)" Indicator
The "4-Hour Candle Opening Times (TAPDA Lines)" indicator integrates key principles of the Time and Price Action Trading Algorithm (TAPTA) with practical tools for analyzing market behavior. This script is designed for traders who leverage the interaction between time and price to identify opportunities in the market. The indicator supports the identification of significant price levels and potential areas of interest based on historical data and recurring patterns tied to specific timeframes.
Core Concepts
Time and Price Interaction (TAPTA Logic):
The script implements TAPTA principles by focusing on time intervals (4-hour candles) and the price action associated with those intervals.
Traders use this logic to recognize how prices behave at specific times, identifying patterns, levels of support or resistance, and potential reversals.
Highs and Lows Recognition (TAPDA):
The indicator includes logic for identifying and marking "Tapped Highs and Lows," which occur when price action retraces to previously significant levels within a specified tolerance. These taps are visually represented with horizontal lines, enabling traders to spot recurring price behaviors and levels of interest.
Dynamic Levels for Decision-Making:
By combining time and price, the script visualizes key price levels and their relevance over time, equipping traders with actionable insights for entry, exit, and risk management.
Indicator Features
1. Visual Representation of Candle Opening Times
The indicator marks the opening times of 4-hour candles on the chart.
A customizable label system displays the time in either a 12-hour or 24-hour format, with options to toggle the visibility of AM/PM suffixes.
2. TAPDA Logic
Identifies and highlights price levels that have been tapped within a specified tolerance.
Horizontal lines are drawn to mark these levels, allowing traders to see historical price levels acting as support or resistance.
The "Tapped Highs and Lows" are updated dynamically based on the most recent price action.
3. Timeframe-Specific Filtering
Users can limit the display to specific times of interest, such as 2 AM, 6 AM, and 10 AM, by toggling the "GCT (General Candle Times)" option.
Additional options allow filtering TAPDA logic by AM or PM timeframes, catering to traders who focus on specific market sessions.
4. Adjustable Plotting Limits
The script incorporates settings for controlling the maximum number of labels and lines displayed on the chart:
Max Labels: Limits the number of labels plotted for 4-hour candle opening times.
Max TAPDA Lines: Limits the number of TAPDA horizontal lines displayed.
A "Sync Lines and Labels" option ensures the same number of labels and lines are plotted when enabled, providing a consistent and clutter-free visualization.
5. Plot Maximum Capability
A "Plot Max" feature allows users to override the default behavior and force the plotting of the maximum allowed labels and lines, providing a comprehensive view of historical data.
6. User-Friendly Customization
Fully customizable label styles, including options for position, size, color, and background opacity.
Adjustable tolerance levels for TAPDA lines ensure compatibility with different market conditions and trading strategies.
Settings for flipping or aligning label positions above or below candles, or locking them to the opening price.
Script Logic
The script is built to prioritize efficiency and clarity, adhering to TradingView's Pine Script best practices and community standards:
Initialization:
Arrays are used to store historical price data, including highs, lows, and timestamps, ensuring only the necessary amount of data is processed.
A flexible and efficient data management system maintains a rolling window of data for both labels and TAPDA lines, ensuring smooth performance.
Label and Line Plotting:
Labels are plotted dynamically at user-defined positions and styles to mark the opening times of 4-hour candles.
TAPDA lines are drawn between historical high or low points and the current price action when the tolerance condition is met.
Limit Management:
The script enforces limits on the number of labels and lines plotted on the chart to maintain visual clarity.
Users can enable synchronization between the maximum labels and lines to ensure consistent visualization.
Customization Options:
Extensive customization settings allow traders to tailor the indicator to their strategies and preferences, including:
Label and line styles.
Session filtering (AM, PM, or specific times).
Display limits and synchronization options.
Capabilities
1. Enhance Time-Based Analysis
By marking significant times (4-hour candle openings), traders can identify key market phases and recurring behaviors tied to specific hours.
2. Leverage Historical Price Action
TAPDA logic highlights areas where price action interacts with historical highs and lows, providing actionable insights into potential support or resistance zones.
3. Improve Decision-Making
The indicator supports informed decision-making by blending visual data with time and price action principles, helping traders spot opportunities and mitigate risks.
4. Flexible Application Across Strategies
Suitable for day traders, swing traders, and position traders who utilize time and price action for trend analysis, reversals, or breakout strategies.
Best Practices for Use
Key Levels Analysis:
Focus on labels and TAPDA lines near critical price zones to gauge potential market reactions.
Session-Based Trading:
Use AM/PM filters or GCT settings to isolate specific trading sessions relevant to your strategy.
Combine with Other Indicators:
Enhance the effectiveness of this indicator by combining it with moving averages, RSI, or other tools for confirmation.
Risk Management:
Use the identified levels for stop-loss placement or target setting to align with your risk tolerance.
Extended Support and Resistance LevelsIndicator: Extended Support and Resistance Levels
This Pine Script indicator dynamically calculates support and resistance levels based on recent price action and projects these levels into the future.
Support is determined by the lowest low over a user-defined period, while Resistance is defined by the highest high over the same period.
The indicator draws lines at the calculated support and resistance levels and extends them into the future, allowing traders to visualize potential future levels where price might react.
The extension of these lines helps in identifying areas where price may respect support or resistance in the upcoming bars.
The user can adjust the period for support/resistance calculation and the number of bars for projection, providing flexibility to adapt to different timeframes and market conditions.
This tool is ideal for traders looking to anticipate future key price levels based on historical price data, helping with decision-making on potential entry or exit points.
IU EMA Channel StrategyIU EMA Channel Strategy
Overview:
The IU EMA Channel Strategy is a simple yet effective trend-following strategy that uses two Exponential Moving Averages (EMAs) based on the high and low prices. It provides clear entry and exit signals by identifying price crossovers relative to the EMAs while incorporating a built-in Risk-to-Reward Ratio (RTR) for effective risk management.
Inputs ( Settings ):
- RTR (Risk-to-Reward Ratio): Define the ratio for risk-to-reward (default = 2).
- EMA Length: Adjust the length of the EMA channels (default = 100).
How the Strategy Works
1. EMA Channels:
- High-based EMA: EMA calculated on the high price.
- Low-based EMA: EMA calculated on the low price.
The area between these two EMAs creates a "channel" that visually highlights potential support and resistance zones.
2. Entry Rules:
- Long Entry: When the price closes above the high-based EMA (crossover).
- Short Entry: When the price closes below the low-based EMA (crossunder).
These entries ensure trades are taken in the direction of momentum.
3. Stop Loss (SL) and Take Profit (TP):
- Stop Loss:
- For long positions, the SL is set at the previous bar's low.
- For short positions, the SL is set at the previous bar's high.
- Take Profit:
- TP is automatically calculated using the Risk-to-Reward Ratio (RTR) you define.
- Example: If RTR = 2, the TP will be 2x the risk distance.
4. Exit Rules:
- Positions are closed at either the stop loss or the take profit level.
- The strategy manages exits automatically to enforce disciplined risk management.
Visual Features
1. EMA Channels:
- The high and low EMAs are dynamically color-coded:
- Green: Price is above the EMA (bullish condition).
- Red: Price is below the EMA (bearish condition).
- The area between the EMAs is shaded for better visual clarity.
2. Stop Loss and Take Profit Zones:
- SL and TP levels are plotted for both long and short positions.
- Zones are filled with:
- Red: Stop Loss area.
- Green: Take Profit area.
Be sure to manage your risk and position size properly.
Market MonitorOverview
The Market Monitor Indicator provides a customisable view of dynamic percentage changes across selected indices or sectors, calculated by comparing current and previous closing prices over the chosen timeframe.
Key Features
Choose up to 20 predefined indices or your own selected indices/stocks.
Use checkboxes to show or hide individual entries.
Monitor returns over daily, weekly, monthly, quarterly, half-yearly, or yearly timeframes
Sort by returns (descending) to quickly identify top-performing indices or alphabetically for an organised and systematic review.
Customisation
Switch between Light Mode (Blue or Green themes) and Dark Mode for visual clarity.
Adjust the table’s size, position, and location.
Customise the table title to your own choice e.g. Sectoral, Broad, Portfolio etc.
Use Cases
Use multiple instances of the script with varying timeframes to study sectoral rotation and trends.
Customise the stocks to see your portfolio returns for the day or over the past week, or longer.
Cryptocurrency SentimentOverview
This script focuses on calculating and visualizing the sentiment difference between LONG positions and SHORT positions for a selected cryptocurrency pair on the Bitfinex exchange. It provides a clean and clear visual representation of the sentiment, helping traders analyze market behavior.
Key Features
Dynamic Symbol Selection:
The script automatically detects the cryptocurrency symbol from the chart (syminfo.basecurrency) and dynamically constructs the LONGS and SHORTS ticker symbols.
Works seamlessly for pairs like BTCUSD, ETHUSD, and others available on Bitfinex.
Sentiment Calculation:
The sentiment difference is calculated as:
Sentiment Difference=−1×(100− SHORTS/LONGS ×100)
LONGS : The total number of long positions.
SHORTS : The total number of short positions.
If SHORTS is 0, the value is safely skipped to avoid division errors.
Color Coding:
The script visually highlights the sentiment difference:
Green Line: Indicates that LONG positions are dominant (bullish sentiment).
Red Line: Indicates that SHORT positions are dominant (bearish sentiment).
Zero Reference Line:
A gray horizontal line at 0 helps users quickly identify the transition between bullish (above zero) and bearish (below zero) sentiment.
How It Works
Fetching Data:
The script uses request.security to fetch LONGS and SHORTS data at the current chart timeframe (timeframe.period) for the dynamically generated Bitfinex tickers.
Handling Data:
Missing or invalid data (NaN) is filtered out to prevent errors.
Extreme spikes or irregular values are safely avoided.
Visualization:
The sentiment difference is plotted with dynamic color coding:
Green when LONGS > SHORTS (bullish sentiment).
Red when SHORTS > LONGS (bearish sentiment).
Benefits
Market Sentiment Insight: Helps traders quickly identify if the market is leaning towards bullish or bearish sentiment based on actual LONG and SHORT position data.
Dynamic and Adaptive: Automatically adjusts to the selected cryptocurrency symbol on the chart.
Clean Visualization: Focuses solely on sentiment difference with color-coded signals, making it easy to interpret.
Best Use Cases
Trend Confirmation: Use the sentiment difference to confirm trends during bullish or bearish moves.
Market Reversals: Identify potential reversals when sentiment shifts from positive (green) to negative (red) or vice versa.
Sentiment Monitoring: Monitor the overall market bias for cryptocurrencies like BTC, ETH, XRP, etc., in real-time.
Sample Chart Output
Above Zero → Green Line: Bullish sentiment dominates.
Below Zero → Red Line: Bearish sentiment dominates.
Zero Line → Transition point for shifts in sentiment.
DAILY Supertrend + EMA Crossover with RSI FilterThis strategy is a technical trading approach that combines multiple indicators—Supertrend, Exponential Moving Averages (EMAs), and the Relative Strength Index (RSI)—to identify and manage trades.
Core Components:
1. Exponential Moving Averages (EMAs):
Two EMAs, one with a shorter period (fast) and one with a longer period (slow), are calculated. The idea is to spot when the faster EMA crosses above or below the slower EMA. A fast EMA crossing above the slow EMA often suggests upward momentum, while crossing below suggests downward momentum.
2. Supertrend Indicator:
The Supertrend uses Average True Range (ATR) to establish dynamic support and resistance lines. These lines shift above or below price depending on the prevailing trend. When price is above the Supertrend line, the trend is considered bullish; when below, it’s considered bearish. This helps ensure that the strategy trades only in the direction of the overall trend rather than against it.
3. RSI Filter:
The RSI measures momentum. It helps avoid buying into markets that are already overbought or selling into markets that are oversold. For example, when going long (buying), the strategy only proceeds if the RSI is not too high, and when going short (selling), it only proceeds if the RSI is not too low. This filter is meant to improve the quality of the trades by reducing the chance of entering right before a reversal.
4. Time Filters:
The strategy only triggers entries during user-specified date and time ranges. This is useful if one wants to limit trading activity to certain trading sessions or periods with higher market liquidity.
5. Risk Management via ATR-based Stops and Targets:
Both stop loss and take profit levels are set as multiples of the ATR. ATR measures volatility, so when volatility is higher, both stops and profit targets adjust to give the trade more breathing room. Conversely, when volatility is low, stops and targets tighten. This dynamic approach helps maintain consistent risk management regardless of market conditions.
Overall Logic Flow:
- First, the market conditions are analyzed through EMAs, Supertrend, and RSI.
- When a buy (long) condition is met—meaning the fast EMA crosses above the slow EMA, the trend is bullish according to Supertrend, and RSI is below the specified “overbought” threshold—the strategy initiates or adds to a long position.
- Similarly, when a sell (short) condition is met—meaning the fast EMA crosses below the slow EMA, the trend is bearish, and RSI is above the specified “oversold” threshold—it initiates or adds to a short position.
- Each position is protected by an automatically calculated stop loss and a take profit level based on ATR multiples.
Intended Result:
By blending trend detection, momentum filtering, and volatility-adjusted risk management, the strategy aims to capture moves in the primary trend direction while avoiding entries at excessively stretched prices. Allowing multiple entries can potentially amplify gains in strong trends but also increases exposure, which traders should consider in their risk management approach.
In essence, this strategy tries to ride established trends as indicated by the Supertrend and EMAs, filter out poor-quality entries using RSI, and dynamically manage trade risk through ATR-based stops and targets.
US 10Y - US 2Y Spread This script displays the Yield Spread between the 10 Year US Treasury Bond (US10Y) and the 2 Year US Treasury Bond (US02Y) as a blue line beneath the chart. It is best to be used on weekly charts a the yield spread is a leading indicator used for detecting possible recessions within the US economy.
A negative yield spread means the 2 year treasury bonds are paying a higher yield than 10 year treasury bonds indicating a possible slowdown of the US economy. In the past negative yield spreads where often followed by recessions and major corrections of the S&P500... you can see examples for this on the above chart for the Gulf War recession, the DotCom Bubble recession, the great recession due to the US housing market collapse and the short COVID recession.
Currently we are in an extended phase of negative yield spreads and if history repeats itself we could be in for a major correction on the financial markets within the next years.
Short Term Imbalance ContinuationShort Term Imbalance Continuation
This indicator identifies short-term trading opportunities based on imbalance situations followed by consolidation.
Functionality:
The indicator looks for a specific candle formation:
1. An imbalance candle where the low is above the high of the following candle (bearish) or the high is below the low of the following candle (bullish)
2. Followed by 1-2 inside candles (close within the range of the previous candle) in the same direction
Theory:
The formation is based on two important market mechanisms:
1. Imbalance and Momentum:
- The imbalance shows a strong move with one-sided orderflow dominance
- Inside candles in the same direction confirm that the opposing side cannot take control
2. Consolidation Behavior:
- Inside candles are a classic consolidation pattern
- They show that the market is "digesting" the previous strong movement
- Consolidation within the range indicates controlled accumulation/distribution
- Particularly relevant when large market participants are building or expanding positions
- Consolidation at higher/lower levels confirms the dominance of the trend direction
Settings:
- Choice between one or two inside candles for different consolidation phases
- Option whether both inside candles must have the same direction
- Customizable colors for bullish and bearish signals
Application:
The indicator is particularly suitable for:
- Trend confirmation after strong movements
- Entry into pullbacks during trends
- Identification of continuation setups after consolidations
- Detection of accumulation/distribution phases of large market participants
Notes:
- Best used in combination with higher timeframe trend
- Particularly meaningful at important price zones
- Consolidation phases can indicate institutional interest
- The length of consolidation (one vs. two inside candles) can indicate different accumulation phases
Long Position with 1:3 Risk Reward and 20EMA CrossoverThe provided Pine Script code implements a strategy to identify long entry signals based on a 20-EMA crossover on a 5-minute timeframe. Once a buy signal is triggered, it calculates and plots the following:
Entry Price: The price at which the buy signal is generated.
Stop Loss: The low of the previous candle, acting as a risk management tool.
Take Profit: The price level calculated based on a 1:3 risk-reward ratio.
Key Points:
Buy Signal: A buy signal is generated when the current 5-minute candle closes above the 20-EMA.
Risk Management: The stop-loss is set below the entry candle to limit potential losses.
Profit Target: The take-profit is calculated based on a 1:3 risk-reward ratio, aiming for a potential profit three times the size of the risk.
Visualization: The script plots the entry price, stop-loss, and take-profit levels on the chart for visual clarity.
Remember:
Backtesting: It's crucial to backtest this strategy on historical data to evaluate its performance and optimize parameters.
Risk Management: Always use appropriate risk management techniques, such as stop-loss orders and position sizing, to protect your capital.
Market Conditions: Market conditions can change, and strategies that worked in the past may not perform as well in the future. Continuously monitor and adapt your strategy.
By understanding the core components of this script and applying sound risk management principles, you can effectively use it to identify potential long entry opportunities in the market.
Wave Surge [UAlgo]The "Wave Surge " is a comprehensive indicator designed to provide advanced wave pattern analysis for market trends and price movements. Built with customizable parameters, it caters to both beginner and advanced traders looking to improve their decision-making process.
This indicator utilizes wave-based calculations, adaptive thresholds, and volume analysis to detect and visualize key market signals. By integrating multiple analysis techniques.
It calculates waves for high, low, and close prices using a configurable moving average (EMA) technique and pairs it with volume and baseline analysis to confirm patterns. The result is a robust framework for identifying potential entry and exit points in the market.
🔶 Key Features
Wave-Based Analysis: This indicator computes waves using exponential moving averages (EMA) of high, low, and close prices, with an adjustable wave period to suit different market conditions.
Customizable Baseline: Traders can select from multiple baseline types, including VWMA (Volume-Weighted Moving Average), EMA, SMA (Simple Moving Average), and HMA (Hull Moving Average), for trend confirmation.
Adaptive Thresholds: The adaptive threshold feature dynamically adjusts sensitivity based on a chosen period, ensuring the indicator remains responsive to varying market volatility.
Volume Analysis: The integrated volume analysis calculates volume ratios and allows traders to enable or disable this feature to refine signal accuracy.
Pattern Recognition: The indicator identifies specific wave patterns (Wave 1, Wave 3, Wave 4, Wave 5, Wave 6) and visually plots them on the chart for easy interpretation.
Visual and Color-Coded Signals: Clear visual signals (upward and downward arrows) are plotted on the chart to highlight potential bullish or bearish patterns. The baseline is color-coded for an intuitive understanding of market trends.
Configuration: Parameters for wave period, baseline length, volume factors, and sensitivity can be tailored to align with the trader’s strategy and market environment.
🔶 Interpreting the Indicator
Wave Patterns
The indicator detects and plots six unique wave patterns based on price changes that exceed an adaptive threshold. These patterns are validated by the direction of the baseline:
Wave 1 (Bullish): Triggered when the price increases above the threshold while the baseline is falling.
Wave 3, 4, and 6 (Bearish): Indicate potential downtrends validated by a rising baseline.
Wave 5 (Bullish): Suggests upward momentum when prices exceed the threshold with a falling baseline.
Baseline Trend
The baseline serves as a trend confirmation tool, dynamically changing color to reflect market direction:
Aqua (Rising): Indicates an upward trend.
Red (Falling): Indicates a downward trend.
Volume Confirmation
When enabled, the volume analysis feature ensures that signals are supported by significant volume movements. Patterns with high volume are considered more reliable.
Signal Visualization
Upward Arrows (🡹): Highlight potential bullish opportunities.
Downward Arrows (🡻): Highlight potential bearish opportunities.
Alerts
Alerts are triggered when key wave patterns are identified, providing traders with timely notifications to take action without being tied to the screen.
🔶 Disclaimer
Use with Caution: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
AHR999X IndexAHR999X Index - A Tool to Watch BITSTAMP:BTCUSD Bitcoin Tops
The AHR999X Index is designed as an extension of the well-known AHR999 Index, specifically to help identify Bitcoin's market tops. This index combines two critical components:
200-Day Fixed Investment Cost:
The average cost if you invested a fixed amount into Bitcoin every day over the last 200 days (using a geometric mean).
Growth Estimate:
A price estimate derived from a logarithmic regression model based on Bitcoin's age.
The formula for AHR999X is:
AHR999X = (Bitcoin Price ÷ 200-Day Fixed Investment Cost) × (Bitcoin Price ÷ Growth Estimate) × 3
How to Interpret AHR999X
Above 8: Accumulation Zone – Bitcoin is historically undervalued.
Between 0.45 and 8: Neutral Zone – Bitcoin is within a reasonable price range.
Below 0.45: Exit Zone – Historically signals market tops and high-risk areas.
A Cycle Observation
One important point to note:
The bottom value of AHR999X increases with every Bitcoin market cycle.
This reflects Bitcoin's long-term price appreciation and diminishing volatility over time.
Volume and Price, EMA Hierarchy Scoring Relations V 1.1Understanding the Volume and Price, EMA Hierarchy Scoring Indicator
Financial markets are often analyzed through a series of technical indicators, each providing valuable but isolated insights into price movements, volume dynamics, and trends. While these tools are widely used, they often lack context when applied individually. The Volume and Price, EMA Hierarchy Scoring Indicator was developed to bridge this gap by introducing structure, context, and relationships between these known indicators.
By utilizing Exponential Moving Averages (EMAs) and assigning periods derived from prime numbers, this indicator creates a scoring system that evaluates the relative positioning and interaction of 13 widely used technical tools. This approach adds meaning to individual indicator outputs by:
Revealing how their results align, diverge, or complement each other.
Quantifying their collective behavior through a hierarchy scoring system.
Enabling traders to not only analyze indicators individually but also combine them to uncover how they influence and interact with each other.
The result is a tool that provides clarity and insight into market behavior, enabling traders to move beyond surface-level analysis and uncover deeper patterns and relationships within the data.
Key Features and Methodology
The Volume and Price, EMA Hierarchy Scoring Indicator is built on a robust mathematical framework that evaluates and visualizes the relationships between 13 widely used technical indicators. By leveraging Exponential Moving Averages (EMAs) and prime numbers, the indicator provides meaningful insights into individual indicator performance as well as their combined behavior.
1. EMA Hierarchy Scoring
At the core of the indicator is its ability to assess the hierarchy of EMAs for each tool. This hierarchy scoring evaluates how the EMAs are aligned relative to one another, providing traders with a quantifiable measure of the indicator's internal consistency and its alignment with trends.
How It Works:
Each EMA is assigned a period derived from a unique prime number. This ensures that no two EMAs overlap, preserving their individuality.
The scoring system measures the gaps between these EMAs, assigning weighted values to these relationships based on their position in the hierarchy.
Why Prime Numbers?
Prime numbers ensure that the EMA periods are distinct and mathematically unrelated, creating a structured yet diverse dataset for analysis.
This approach allows the scoring system to capture both short-term and long-term trends, while avoiding redundancy.
2. Independent Indicator Evaluation
One of the key features of this indicator is the ability to analyze any of the 13 tools individually. Each indicator has its own module, complete with adjustable parameters and dedicated visualizations:
Histograms: Represent the raw EMA hierarchy score. Positive bars indicate alignment with upward trends, while negative bars highlight potential reversals or misalignments.
Smoothed Line: Averages the histogram values, reducing short-term noise and emphasizing longer-term trends.
Signal Line: Highlights trend shifts by smoothing the smoothed line further. Crossovers between the smoothed line and the signal line act as actionable signals for traders.
3. Combining Indicators for Context
Beyond individual analysis, the indicator allows users to combine multiple indicators to evaluate their interactions. For example:
Pairing ALMA (price smoothing) with Volume enables traders to see how price trends are supported or contradicted by market activity.
Combining Delta Volume and CMF (Chaikin Money Flow) reveals nuanced dynamics of buying and selling pressure.
Number of Combinations
With 13 tools available, the indicator supports "two to the power of thirteen minus one," which equals 8,191possible combinations. This flexibility empowers traders to experiment with various subsets of indicators, tailoring their analysis to specific market conditions or strategies.
Detailed Breakdown of Indicators
The Volume and Price, EMA Hierarchy Scoring Indicator integrates 13 widely used technical indicators, each bringing a unique perspective to market analysis. These indicators are scored individually using the EMA hierarchy system and can also be combined for more comprehensive insights.
Here’s a detailed look at what each indicator contributes:
Price Analysis
Arnaud Legoux Moving Average (ALMA):
Purpose:
ALMA smooths price data, reducing noise while maintaining responsiveness to trends.
Unique Features:
The EMA hierarchy scoring highlights how well ALMA’s EMAs align, revealing the strength of price trends.
Visualization includes a histogram of ALMA scores, a smoothed line, and a signal line.
Settings:
Adjustable parameters for the window size, offset, and sigma.
Tooltips guide users on how each setting affects the calculation.
Application:
Evaluate price momentum or combine with volume-based indicators to validate trends.
2. Price Hierarchy Score (PRC):
Purpose:
Focuses solely on price behavior to identify consistency and strength.
Visualization:
Includes a histogram representing raw scores and smoothed and signal lines for trend detection.
Settings:
Adjustable EMA periods derived from prime numbers.
Customizable smoothing and signal periods.
Volume Insights
3. Chaikin Money Flow (CMF):
Purpose:
Integrates price and volume data to measure capital flow direction and strength.
Visualization:
Raw CMF hierarchy scores are plotted, alongside smoothed and signal lines for easier trend identification.
Settings:
Lookback period adjustment for CMF calculation.
Toggle for enabling/disabling the module.
Application:
Use alongside Delta Volume to assess buying and selling pressure.
Above chart snapshot, in addition to the well-known CMF indicator, the Volume and Price indicator and the EMA Hierarchy Scoring can also be seen in the chart. By enabling the CMF evaluation, you can observe both how the CMF is analyzed and how it aligns with the price chart.
4. Delta Volume:
Purpose:
Captures the balance between buying and selling activity in the market.
Visualization:
A histogram represents the raw divergence in buying and selling strength.
Signal lines help identify momentum shifts.
Settings:
Options to set lower timeframes for more granular analysis.
Adjustable smoothing and signal periods.
Application:
Combine with CMF for a deeper understanding of capital flow dynamics.
In the above chart, alongside the Volume Delta indicator, you can observe our evaluation of this indicator's performance.
In the above chart, as explained, you can observe the impact of our evaluation metrics both individually and in combination with other indicators. This chart featuring VPR (Volume and Price Indicator along with EMA Hierarchy Scoring) illustrates the interplay between CMF and Volume Delta.
5. Volume Hierarchy Score (VOL):
Purpose:
Tracks raw volume data to identify areas of heightened market activity.
Visualization:
Histogram and smoothed lines highlight volume trends.
Settings:
Prime-numbered EMA periods to analyze volume hierarchy.
Adjustable smoothing and signal line parameters.
In the above chart, as previously explained, by analyzing the EMA of volume data over 25 iterations within specified periods (based on the first 25 prime numbers), you can observe the relationship between volume and price. We are witnessing a price increase, while the current volume position shows significant deviation and instability relative to the EMAs calculated over 25 different time periods.
In the above chart, by simultaneously enabling the evaluation of both volume and price, you can clearly observe the interplay and impact of volume and price in relation to each other.
Momentum and Trend Strength
6. Aroon Up:
Purpose:
Evaluates the strength of trends by measuring time since price highs.
Visualization :
Hierarchy scores plotted as histograms with trend-tracking smoothed and signal lines.
Settings:
Lookback period adjustments.
Module toggle for focus on Aroon trends.
If the analysis and interpretation of Aroon lines seem somewhat complex, the Volume and Price Indicator along with EMA Hierarchy Scoring provides a clear and intuitive representation of the Aroon indicator in relation to the price chart, as you can see in the current chart.
7. Average Directional Index (ADX):
Purpose:
Quantifies the strength of trends, regardless of direction.
Visualization:
ADX scores and smoothed lines for trend confirmation.
Settings:
Adjustable directional indicator (DI) and ADX smoothing periods.
Tooltip guidance for parameter optimization.
The simultaneous chart of the well-known ADX indicator alongside the evaluation system of the Volume and Price Indicator with EMA Hierarchy Scoring provides an integrated perspective on the ADX indicator.
8. Elder Force Index (EFI):
Purpose:
Combines price and volume to measure the strength of price movements.
Visualization:
EFI hierarchy scores with clear trend representation through signal and smoothed lines.
Settings:
Length adjustments for sensitivity control.
Smoothing and signal line customization.
In the above chart, we simultaneously have the well-known EFI indicator and the Volume and Price Indicator along with EMA Hierarchy Scoring. As we progress further, you will become increasingly familiar with the functionality and precision of the Volume and Price Indicator along with EMA Hierarchy Scoring.
Volatility and Oscillators
9. Ehler Fisher Transform:
Purpose:
Highlights extreme price movements by transforming price data into a Gaussian distribution.
Visualization:
Fisher Transform scores with smoothed trend indicators.
Settings:
Fisher length adjustment.
Module toggle and smoothing controls.
10. McGinley Dynamic (MGD):
Purpose:
Tracks price trends while adjusting for volatility, providing a smoother signal.
Visualization:
Raw MGD hierarchy scores with smoothed and signal lines.
Settings:
Lookback period customization.
Adjustable smoothing and signal periods
.
Ichimoku Components
11. Conversion Line (ICMC):
Purpose:
Captures short-term price equilibrium levels within the Ichimoku framework.
Visualization:
Short-term hierarchy scores visualized with smoothed lines.
Settings:
Adjustable conversion line length.
Tooltips explaining Ichimoku-related insights.
12. Base Line (ICMB):
Purpose:
Identifies medium-term equilibrium levels in the Ichimoku system.
Visualization:
Scores and smoothed trend lines for medium-term trends.
Settings:
Base line period adjustments.
Tooltip guidance for Ichimoku analysis.
In the chart below, to better illustrate the capabilities of the Volume and Price, EMA Hierarchy Scoring relation, we present a chart that evaluates the simultaneous interaction of Ichimoku Base and Conversion lines, Price, Volume, and Delta Volume.
Market Health
13. Money Flow Index (MFI):
Purpose:
Detects overbought or oversold conditions using price and volume data.
Visualization:
MFI hierarchy scores with trend tracking through smoothed and signal lines.
Settings:
Lookback period customization for sensitivity adjustment.
Module toggle and visualization controls.
EMA of Indicators: A Unified Scoring Metric
The EMA of Indicators module introduces a unique way to aggregate and analyze the individual scores of all 13 indicators. By applying a unified EMA calculation to their hierarchy scores, this module provides a single, combined metric that reflects the overall market sentiment based on the collective behavior of all indicators.
How It Works
1. Indicator-Specific EMAs:
An EMA is calculated for each of the 13 indicator hierarchy scores. The EMA period is adjustable in the settings menu, allowing traders to control how responsive the metric is to recent changes.
2. Combined EMA Calculation:
The individual EMAs are summed and averaged to generate a single Combined EMA Value. This value represents the average performance and alignment of all the indicators.
3. Smoothed and Signal Lines:
To enhance the interpretability of the Combined EMA Value:
- A Smoothed EMA is calculated using an additional EMA to filter out short-term fluctuations.
- A Signal Line is applied to the Smoothed EMA, providing actionable signals when crossovers occur.
Visualization
The Combined EMA Value is visualized as:
Histogram Bars: Represent the raw Combined EMA Value, highlighting positive or negative market alignment.
Smoothed Line: Tracks longer-term trends by smoothing the combined value.
Signal Line: Marks potential shifts in market sentiment when it crosses the Smoothed Line.
Customization and Settings
The settings menu allows full control over the EMA calculation:
Enable/Disable Module: Toggle the entire EMA of Indicators functionality.
Adjust EMA Period: Define the responsiveness of the individual indicator EMAs.
Set Smoothing Period: Control the degree of smoothing applied to the combined score.
Signal Line Period: Fine-tune the signal line's sensitivity for detecting trend shifts.
Tooltips accompany each parameter, ensuring that users understand their impact on the final visualization.
Applications in Market Analysis
1. Market Health Overview:
Use the Combined EMA Value as a quick snapshot of overall market sentiment based on all 13 indicators.
2. Trend Confirmation:
Analyze crossovers between the Smoothed EMA and Signal Line to confirm market trends or reversals.
3. Flexible Strategy Development:
Adjust EMA and smoothing periods to align the module with short-term or long-term trading strategies.
From EMA Scoring to Divergence-Weighted Insights
While the EMA scoring system provides insights into individual indicators and their trends, the Divergence-Weighted Volatility Adjusted Score takes this analysis further by combining and comparing all 13 indicators into a unified metric.
The Divergence-Weighted Volatility Adjusted Score
This score evaluates how the EMA scores of the 13 indicators interact and diverge, adding a layer of context and collective behavior analysis to the raw hierarchy scores.
1. Normalization:
All EMA scores are scaled to a common range, ensuring comparability regardless of the magnitude of individual indicators.
2. Divergence Analysis:
The system calculates the average score of the 13 indicators and evaluates the deviation (or divergence) of each individual score from this average.
Indicators with significant divergence are highlighted, as they often signal critical market dynamics.
3. Dynamic Weighting:
Indicators with greater divergence are assigned higher weights in the combined score. This ensures that outliers with meaningful signals are emphasized.
4. Volatility Adjustment:
The combined score is adjusted based on market volatility (calculated as the standard deviation of the score over a defined lookback period). This stabilizes the output, making it reliable even during turbulent market conditions.
Visualization and Customization
The Divergence-Weighted Volatility Adjusted Score is plotted as a dynamic line chart, offering a clear visual summary of the collective behavior of all indicators. The chart includes:
Smoothed Score Line: Filters out noise and emphasizes longer-term trends.
Signal Line: Helps identify potential trend shifts by tracking smoothed score crossovers.
Settings:
Lookback Period: Defines the time frame for volatility calculation.
Smoothing Period: Controls the degree of noise reduction in the smoothed score line.
Signal Line Period: Adjusts the responsiveness of the signal line.
These settings are fully adjustable, with tooltips guiding users to understand their impact.
Applications
The Divergence-Weighted Volatility Adjusted Score has several practical applications:
1. Cross-Indicator Alignment:
Detect when multiple indicators align or diverge, signaling potential opportunities or risks.
2. Dynamic Market Insights:
Adapt to changing conditions with the volatility-adjusted scoring.
3. Trend Confirmation:
Use smoothed and signal lines to validate trends identified by individual indicators.
Conclusion
The Volume and Price, EMA Hierarchy Scoring Indicator redefines how traders analyze financial markets. By combining 13 widely used technical tools with a structured scoring system based on Exponential Moving Averages (EMAs) and prime-numbered periods, this indicator brings depth and context to market analysis.
Key features include:
Independent Analysis: Evaluate individual indicators with precise EMA hierarchy scoring to assess their alignment with market trends.
Dynamic Combinations: Explore the relationships between indicators through over 8,000 combinations to uncover nuanced interactions and patterns.
Divergence-Weighted Scoring: Compare the collective behavior of indicators using a divergence-weighted system, providing a holistic market perspective adjusted for volatility.
Customization: Enable or disable modules, adjust smoothing and signal periods, and fine-tune settings to align the indicator with specific trading strategies.
User-Friendly Visualizations: Intuitive histograms, smoothed lines, and signal lines help traders identify trends, reversals, and market alignment at a glance.
This indicator empowers traders to move beyond isolated analysis by creating meaning and context between known tools. Whether you’re a scalper seeking short-term trends or a swing trader analyzing broader market movements, the Volume and Price, EMA Hierarchy Scoring Indicator offers insights tailored to your strategy.
Disclaimer
The Volume and Price, EMA Hierarchy Scoring Indicator is a tool for technical analysis and market evaluation. While it provides structured insights into market behavior, no indicator can guarantee success or eliminate the inherent risks of trading. Market conditions are complex, and multiple factors influence price movements.
Users are advised to:
Combine this indicator with other analysis methods, such as fundamental analysis or risk management strategies.
Make informed decisions based on their own analysis, trading goals, and risk tolerance.
Trading involves significant risk, and past performance does not guarantee future results. Always consult with a financial advisor or professional before making trading decisions.
Gradient Stochastic RSI CyclesThe Gradient Stochastic RSI Cycles indicator combines several key technical concepts into one, providing a unique perspective compared to the traditional RSI (Relative Strength Index) and other indicators typically used . Here's a breakdown of the specific features that make this indicator stand out:
1. Stochastic RSI (StochRSI):
The Stochastic RSI is a momentum indicator that applies the Stochastic Oscillator formula to the RSI. While RSI alone measures overbought and oversold conditions based on the price's relative strength, StochRSI refines this by measuring the position of RSI relative to its own range over a specified period.
This approach helps identify overbought and oversold conditions more dynamically, and it can be a leading indicator compared to the traditional RSI, which may lag in certain market conditions.
2. Key Differences from Traditional RSI:
RSI (Traditional): The RSI directly compares the average gains and losses of the price over a set period (typically 14 periods). It outputs a value between 0 and 100, where values above 70 indicate overbought conditions and values below 30 suggest oversold conditions.
Stochastic RSI: Instead of being calculated from price itself, the StochRSI is derived from the RSI, which adds an additional layer of smoothness and filtering. This makes it more responsive to changes in market momentum, often producing faster signals, especially in volatile markets.
Key Advantage: The Stochastic RSI often generates more timely signals by incorporating both RSI and Stochastic Oscillator principles. This leads to clearer identification of trend reversals or continuation signals, especially in strongly trending or choppy markets.
3. Smoothing and Signal Generation:
%K and %D Smoothing: The indicator uses two key smoothing steps for generating signals: the %K line (stochastic RSI itself) and the %D line (a smoothed version of %K). These are typical of Stochastic indicators but applied to the RSI, making it more sophisticated and adaptive to market cycles.
The moving average of %K (denoted as the "MA Line") further refines the trend signals by smoothing the price action of the %K line. This allows for better trend recognition, reducing false signals in sideways markets.
Key Advantage: The added smoothing steps from the %K, %D, and MA Line help in producing less erratic signals, enabling smoother and more accurate trend-following behavior. The MA line is especially useful in filtering out noise in the Stochastic RSI.
4. Trend Direction (Bullish vs Bearish):
Bullish/Bearish Conditions: The indicator includes a clear trend identification mechanism, where the indicator is considered bullish when the %K line is above the %D line and bearish when it is below.
This distinction is visually represented with gradient colors, where the bullish condition is highlighted with a green color (often associated with upward momentum) and bearish with a red color (indicating downward pressure).
Key Advantage: By distinguishing the trend direction visually and dynamically, this feature adds a layer of market interpretation that is not present in the traditional RSI. It offers clarity in identifying bullish or bearish cycles within market movements, making it easier for traders to align their positions with prevailing market trends.
5. Gradient Colors and Visualization:
The indicator uses gradient colors to visually represent the market condition. The color changes dynamically based on whether the market is in a bullish or bearish state, providing immediate feedback to the trader on the momentum of the asset.
This color gradient approach adds a clear visual reference compared to the traditional line-based RSI indicators, where traders have to infer trend direction based on multiple readings or conditions.
Key Advantage: The color gradient not only serves as a trend indicator but also makes the signal more visually accessible and easier to interpret in real-time.
6. Threshold Levels and Overbought/Oversold Conditions:
Horizontal Lines at 15 and 85: These thresholds are used to mark oversold and overbought levels, similar to how the 30 and 70 levels function in the traditional RSI. The key difference here is that the Stochastic RSI is more sensitive to price movements, and thus these levels can be more dynamic and precise in identifying extreme market conditions.
Key Advantage: The Stochastic RSI's threshold levels offer more precise markers for overbought and oversold conditions in comparison to the RSI, providing better actionable insights during volatile market phases.
7. Gradient Fill between %K and Midline:
The indicator fills the area between the %K line and the Midline (50) based on whether the trend is bullish or bearish, with different opacities depending on the trend.
Key Advantage: This visual fill enhances the clarity of market cycles and trend phases, making it easier for traders to spot potential trend reversals or trend-following opportunities. The fill acts as a dynamic background to reinforce the current market sentiment.
Advanced Trend Following: Unlike basic RSI or Stochastic indicators, the Gradient Stochastic RSI Cycles indicator integrates trend-following principles with stochastic analysis applied to RSI, creating a powerful hybrid for capturing market momentum.
Dynamic Visual Feedback: The gradient color effect and fill based on trend direction give this indicator a unique visual aspect that makes market conditions more intuitive and easier to analyze at a glance. This is not available in traditional RSI or most common stochastic oscillators.
Enhanced Overbought/Oversold Signals: By utilizing the Stochastic RSI, this indicator offers more responsive overbought and oversold levels, often leading to earlier signals compared to the conventional RSI.
Smooth and Adaptive: The multiple smoothing steps used in the indicator (with %K, %D, and the MA line) provide a more adaptive approach to trend filtering, reducing false signals that often occur with basic indicators.
In summary, the Gradient Stochastic RSI Cycles indicator is an advanced, adaptive tool that combines RSI, Stochastic Oscillator, and moving averages to provide traders with more accurate, timely, and visually accessible market signals. Its design helps overcome many of the limitations associated with traditional RSI or stochastic-based indicators, offering a more refined analysis of price momentum.
