High-Win-Rate Liquidity AILiquidity AI - High-Win-Rate Trading Indicator
Overview
The Liquidity AI indicator is designed to identify high-probability trading opportunities based on liquidity sweeps and high-timeframe market bias. It is optimized for scalping on the 5-minute timeframe and works best with the recommended settings shown in the images.
Key Features
✅ Liquidity Sweeps Detection: Identifies liquidity grabs at highs and lows.
✅ High Timeframe Bias: Uses a 4-hour trend filter to confirm trades.
✅ Auto Buy & Sell Signals: Generates trade signals with clear labels.
✅ Stop Loss & Take Profit: Dynamically adjusts based on ATR multipliers.
✅ Alerts Enabled: Get notified when a trade setup appears.
Best Timeframe for Trading
📌 5-Minute (M5) Chart – Ideal for scalping and short-term trades.
Recommended Settings
High Timeframe Bias: 4 Hours
Stop Loss Multiplier: 6
Take Profit Multiplier: 6
Enable Alerts: ✅ Checked
How It Works
BUY Setup:
Liquidity sweep at lows (price dips below recent lows).
High-timeframe trend is bullish (uptrend confirmation).
Trade executes with pre-set SL & TP.
SELL Setup:
Liquidity sweep at highs (price spikes above recent highs).
High-timeframe trend is bearish (downtrend confirmation).
Trade executes with pre-set SL & TP.
Why Use Liquidity AI?
🚀 Optimized for High Win Rates – Combines liquidity concepts with trend confirmation.
🔥 Clear Visuals – Buy/Sell signals with TP & SL plotted.
📊 Automated Strategy Execution – Executes trades within TradingView Strategy Tester.
Cycles
Supertrend with RSI FilterThis indicator is an enhanced version of the classic Supertrend, incorporating an RSI (Relative Strength Index) filter to refine trend signals. Here is a detailed explanation of its functionality and key advantages over the traditional Supertrend.
1. Indicator Functionality
The indicator uses ATR (Average True Range) to calculate the Supertrend line, just like the classic version. However, it introduces an additional condition based on RSI to strengthen or weaken the Supertrend color based on market momentum.
2. Interpretation of Colors
The indicator displays the Supertrend line with dynamic colors based on trend direction and RSI strength:
- Uptrend (Supertrend in buy mode):
- Dark green (Teal): RSI above the defined threshold (default 50) → Strong bullish confirmation.
- Light gray: RSI below the threshold → Indicates a weaker uptrend or lack of confirmation.
- Downtrend (Supertrend in sell mode):
- Dark red: RSI below the threshold → Strong bearish confirmation.
- Light gray: RSI above the threshold → Indicates a weaker downtrend or lack of confirmation.
The opacity of the color dynamically adjusts based on how far RSI is from its threshold. The greater the difference, the more vivid the color, signaling a stronger trend.
3. Key Advantages Over the Classic Supertrend
- Filters out false signals: The RSI integration helps reduce false signals by only validating trends when RSI aligns with the Supertrend direction.
- Weakens uncertain signals: When RSI is close to its threshold, the color becomes more transparent, alerting traders to a less reliable trend.
- Classic mode available: The 'Use Classic Supertrend' option allows switching to a standard Supertrend display (fixed red/green) without the RSI effect.
4. Customizable Parameters
- ATR Length & ATR Factor: Define the sensitivity of the Supertrend.
- RSI Period & RSI Threshold: Allow refining the RSI filter based on market volatility.
- Classic mode: Enables/disables the RSI filtering to revert to the original Supertrend.
This indicator is especially valuable for traders looking to refine their trend signals based on market momentum measured by RSI.
This indicator is for informational purposes only and should not be considered financial advice. Trading involves risks, and past performance does not guarantee future results. Always conduct your own analysis before making any trading decisions.
[GYTS-CE] Market Regime Detector🧊 Market Regime Detector (Community Edition)
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- INTRODUCTION --------- 🌸
💮 What is the Market Regime Detector?
The Market Regime Detector is an advanced, consensus-based indicator that identifies the current market state to increase the probability of profitable trades. By distinguishing between trending (bullish or bearish) and cyclic (range-bound) market conditions, this detector helps you select appropriate tactics for different environments. Instead of forcing a single strategy across all market conditions, our detector allows you to adapt your approach based on real-time market behaviour.
💮 The Importance of Market Regimes
Markets constantly shift between different behavioural states or "regimes":
• Bullish trending markets - characterised by sustained upward price movement
• Bearish trending markets - characterised by sustained downward price movement
• Cyclic markets - characterised by range-bound, oscillating behaviour
Each regime requires fundamentally different trading approaches. Trend-following strategies excel in trending markets but fail in cyclic ones, while mean-reversion strategies shine in cyclic markets but underperform in trending conditions. Detecting these regimes is essential for successful trading, which is why we've developed the Market Regime Detector to accurately identify market states using complementary detection methods.
🌸 --------- KEY FEATURES --------- 🌸
💮 Consensus-Based Detection
Rather than relying on a single method, our detector employs two complementary detection methodologies that analyse different aspects of market behaviour:
• Dominant Cycle Average (DCA) - analyzes price movement relative to its lookback period, a proxy for the dominant cycle
• Volatility Channel - examines price behaviour within adaptive volatility bands
These diverse perspectives are synthesised into a robust consensus that minimises false signals while maintaining responsiveness to genuine regime changes.
💮 Dominant Cycle Framework
The Market Regime Detector uses the concept of dominant cycles to establish a reference framework. You can input the dominant cycle period that best represents the natural rhythm of your market, providing a stable foundation for regime detection across different timeframes.
💮 Intuitive Parameter System
We've distilled complex technical parameters into intuitive controls that traders can easily understand:
• Adaptability - how quickly the detector responds to changing market conditions
• Sensitivity - how readily the detector identifies transitions between regimes
• Consensus requirement - how much agreement is needed among detection methods
This approach makes the detector accessible to traders of all experience levels while preserving the power of the underlying algorithms.
💮 Visual Market Feedback
The detector provides clear visual feedback about the current market regime through:
• Colour-coded chart backgrounds (purple shades for bullish, pink for bearish, yellow for cyclic)
• Colour-coded price bars
• Strength indicators showing the degree of consensus
• Customizable colour schemes to match your preferences or trading system
💮 Integration in the GYTS suite
The Market Regime Detector is compatible with the GYTS Suite , i.e. it passes the regime into the 🎼 Order Orchestrator where you can set how to trade the trending and cyclic regime.
🌸 --------- CONFIGURATION SETTINGS --------- 🌸
💮 Adaptability
Controls how quickly the Market Regime detector adapts to changing market conditions. You can see it as a low-frequency, long-term change parameter:
Very Low: Very slow adaptation, most stable but may miss regime changes
Low: Slower adaptation, more stability but less responsiveness
Normal: Balanced between stability and responsiveness
High: Faster adaptation, more responsive but less stable
Very High: Very fast adaptation, highly responsive but may generate false signals
This setting affects lookback periods and filter parameters across all detection methods.
💮 Sensitivity
Controls how sensitive the detector is to market regime transitions. This acts as a high-frequency, short-term change parameter:
Very Low: Requires substantial evidence to identify a regime change
Low: Less sensitive, reduces false signals but may miss some transitions
Normal: Balanced sensitivity suitable for most markets
High: More sensitive, detects subtle regime changes but may have more noise
Very High: Very sensitive, detects minor fluctuations but may produce frequent changes
This setting affects thresholds for regime detection across all methods.
💮 Dominant Cycle Period
This parameter allows you to specify the market's natural rhythm in bars. This represents a complete market cycle (up and down movement). Finding the right value for your specific market and timeframe might require some experimentation, but it's a crucial parameter that helps the detector accurately identify regime changes. Most of the times the cycle is between 20 and 40 bars.
💮 Consensus Mode
Determines how the signals from both detection methods are combined to produce the final market regime:
• Any Method (OR) : Signals bullish/bearish if either method detects that regime. If methods conflict (one bullish, one bearish), the stronger signal wins. More sensitive, catches more regime changes but may produce more false signals.
• All Methods (AND) : Signals only when both methods agree on the regime. More conservative, reduces false signals but might miss some legitimate regime changes.
• Weighted Decision : Balances both methods with equal weighting. Provides a middle ground between sensitivity and stability.
Each mode also calculates a continuous regime strength value that's used for colour intensity in the 'unconstrained' display mode.
💮 Display Mode
Choose how to display the market regime colours:
• Unconstrained regime: Shows the regime strength as a continuous gradient. This provides more nuanced visualisation where the intensity of the colour indicates the strength of the trend.
• Consensus only: Shows only the final consensus regime with fixed colours based on the detected regime type.
The background and bar colours will change to indicate the current market regime:
• Purple shades: Bullish trending market (darker purple indicates stronger bullish trend)
• Pink shades: Bearish trending market (darker pink indicates stronger bearish trend)
• Yellow: Cyclic (range-bound) market
💮 Custom Colour Options
The Market Regime Detector allows you to customize the colour scheme to match your personal preferences or to coordinate with other indicators:
• Use custom colours: Toggle to enable your own colour choices instead of the default scheme
• Transparency: Adjust the transparency level of all regime colours
• Bullish colours: Define custom colours for strong, medium, weak, and very weak bullish trends
• Bearish colours: Define custom colours for strong, medium, weak, and very weak bearish trends
• Cyclic colour: Define a custom colour for cyclic (range-bound) market conditions
🌸 --------- DETECTION METHODS --------- 🌸
💮 Dominant Cycle Average (DCA)
The Dominant Cycle Average method forms a key part of our detection system:
1. Theoretical Foundation :
The DCA method builds on cycle analysis and the observation that in trending markets, price consistently remains on one side of a moving average calculated using the dominant cycle period. In contrast, during cyclic markets, price oscillates around this average.
2. Calculation Process :
• We calculate a Simple Moving Average (SMA) using the specified lookback period - a proxy for the dominant cycle period
• We then analyse the proportion of time that price spends above or below this SMA over a lookback window. The theory is that the price should cross the SMA each half cycle, assuming that the dominant cycle period is correct and price follows a sinusoid.
• This lookback window is adaptive, scaling with the dominant cycle period (controlled by the Adaptability setting)
• The different values are standardised and normalised to possess more resolving power and to be more robust to noise.
3. Regime Classification :
• When the normalised proportion exceeds a positive threshold (determined by Sensitivity setting), the market is classified as bullish trending
• When it falls below a negative threshold, the market is classified as bearish trending
• When the proportion remains between these thresholds, the market is classified as cyclic
💮 Volatility Channel
The Volatility Channel method complements the DCA method by focusing on price movement relative to adaptive volatility bands:
1. Theoretical Foundation :
This method is based on the observation that trending markets tend to sustain movement outside of normal volatility ranges, while cyclic markets tend to remain contained within these ranges. By creating adaptive bands that adjust to current market volatility, we can detect when price behaviour indicates a trending or cyclic regime.
2. Calculation Process :
• We first calculate a smooth base channel center using a low pass filter, creating a noise-reduced centreline for price
• True Range (TR) is used to measure market volatility, which is then smoothed and scaled by the deviation factor (controlled by Sensitivity)
• Upper and lower bands are created by adding and subtracting this scaled volatility from the centreline
• Price is smoothed using an adaptive A2RMA filter, which has a very flat and stable behaviour, to reduce noise while preserving trend characteristics
• The position of this smoothed price relative to the bands is continuously monitored
3. Regime Classification :
• When smoothed price moves above the upper band, the market is classified as bullish trending
• When smoothed price moves below the lower band, the market is classified as bearish trending
• When price remains between the bands, the market is classified as cyclic
• The magnitude of price's excursion beyond the bands is used to determine trend strength
4. Adaptive Behaviour :
• The smoothing periods and deviation calculations automatically adjust based on the Adaptability setting
• The measured volatility is calculated over a period proportional to the dominant cycle, ensuring the detector works across different timeframes
• Both the center line and the bands adapt dynamically to changing market conditions, making the detector responsive yet stable
This method provides a unique perspective that complements the DCA approach, with the consensus mechanism synthesising insights from both methods.
🌸 --------- USAGE GUIDE --------- 🌸
💮 Starting with Default Settings
The default settings (Normal for Adaptability and Sensitivity, Weighted Decision for Consensus Mode) provide a balanced starting point suitable for most markets and timeframes. Begin by observing how these settings identify regimes in your preferred instruments.
💮 Finding the Optimal Dominant Cycle
The dominant cycle period is a critical parameter. Here are some approaches to finding an appropriate value:
• Start with typical values, usually something around 25 works well
• Visually identify the average distance between significant peaks and troughs
• Experiment with different values and observe which provides the most stable regime identification
• Consider using cycle-finding indicators to help identify the natural rhythm of your market
💮 Adjusting Parameters
• If you notice too many regime changes → Decrease Sensitivity or increase Consensus requirement
• If regime changes seem delayed → Increase Adaptability
• If a trending regime is not detected, the market is automatically assigned to be in a cyclic state
• If you want to see more nuanced regime transitions → Try the "unconstrained" display mode (note that this will not affect the output to other indicators)
💮 Trading Applications
Regime-Specific Strategies:
• Bullish Trending Regime - Use trend-following strategies, trail stops wider, focus on breakouts, consider holding positions longer, and emphasize buying dips
• Bearish Trending Regime - Consider shorts, tighter stops, focus on breakdown points, sell rallies, implement downside protection, and reduce position sizes
• Cyclic Regime - Apply mean-reversion strategies, trade range boundaries, apply oscillators, target definable support/resistance levels, and use profit-taking at extremes
Strategy Switching:
Create a set of rules for each market regime and switch between them based on the detector's signal. This approach can significantly improve performance compared to applying a single strategy across all market conditions.
GYTS Suite Integration:
• In the GYTS 🎼 Order Orchestrator, select the '🔗 STREAM-int 🧊 Market Regime' as the market regime source
• Note that the consensus output (i.e. not the "unconstrained" display) will be used in this stream
• Create different strategies for trending (bullish/bearish) and cyclic regimes. The GYTS 🎼 Order Orchestrator is specifically made for this.
• The output stream is actually very simple, and can possibly be used in indicators and strategies as well. It outputs 1 for bullish, -1 for bearish and 0 for cyclic regime.
🌸 --------- FINAL NOTES --------- 🌸
💮 Development Philosophy
The Market Regime Detector has been developed with several key principles in mind:
1. Robustness - The detection methods have been rigorously tested across diverse markets and timeframes to ensure reliable performance.
2. Adaptability - The detector automatically adjusts to changing market conditions, requiring minimal manual intervention.
3. Complementarity - Each detection method provides a unique perspective, with the collective consensus being more reliable than any individual method.
4. Intuitiveness - Complex technical parameters have been abstracted into easily understood controls.
💮 Ongoing Refinement
The Market Regime Detector is under continuous development. We regularly:
• Fine-tune parameters based on expanded market data
• Research and integrate new detection methodologies
• Optimise computational efficiency for real-time analysis
Your feedback and suggestions are very important in this ongoing refinement process!
M2 Global Liquidity Index Ver-xM2 Global Liquidity Index Ver-X
Credit:
Based on original work by Mik3Christ3ns3n
With the enhanced features by KrystianHutyra
And offset set by x.com
Please note: This is the first time I have done anything like this before so if I have broken any copyright laws. I apologise and I'll remove this straight away.
The original version by Mik3Christ3ns3n had this in a separate pane.
KrystianHutyra then added and amazing feature of being able to shift the time. However, I found it difficult to read in the format it was in as I am novice charter, so I combined the two. This allows you to (kind of) "chart" the M2 Global liquidity
I have my offset to 75 in the thumbnail as I made a mistake when using x.com instructions. Watch his video for instructions on how to read the index
Thank you to all three for your great work
gigzoomprogigzoompro Indicator - Buy & Sell Signals Based on Candle Color Change
The gigzoompro indicator is a powerful tool designed to help traders identify potential buy and sell opportunities based on changes in candle colors. When the market sentiment shifts, this indicator automatically generates signals for buying or selling, ensuring you're always in tune with the market trend.
Key Features:
Buy Signals: Triggered when a bullish candle appears after a bearish candle.
Sell Signals: Triggered when a bearish candle appears after a bullish candle.
Additional Moving Averages: Includes a 50-period SMA and a 200-period EMA for extra market insight.
Customizable: You can adjust settings such as smoothing periods, moving average types, and lengths.
This indicator doesn't interfere with the price action and provides clean and intuitive signals, making it perfect for traders looking for a simplified approach to decision-making.
Global M2 Money Supply (USD) GrowthThe Global M2 Growth indicator evaluates the total liquid money supply, including cash, checking deposits, and assets that can be easily converted to cash. It reflects changes in global liquidity by tracking year-on-year (YoY) changes in the Global M2 money supply rather than its absolute value. This approach highlights the velocity of liquidity expansion or contraction, offering a clearer understanding of its correlation with asset performance, such as Bitcoin.
How It Works
When the Global M2 money supply expands, it reflects an increase in available liquidity. This often leads to an influx of capital into higher-yielding and riskier assets like Bitcoin, equities, and commodities. Conversely, when M2 contracts, liquidity tightens, leading to declines in the values of these assets.
An essential insight is that Bitcoin's price is not immediately affected by changes in M2. Research shows a lag of approximately 56-60 days (around two months) between liquidity changes and Bitcoin's price movements. Shifting the liquidity data forward by this period improves the correlation between Global M2 and Bitcoin performance.
How to Use
Track Global M2 YoY Change: Focus on liquidity's yearly change to identify trends. Rapid increases in liquidity often signify favorable conditions for Bitcoin and other risk assets to rise, while contractions often predict price declines or consolidation phases.
Account for the Lag Effect: Incorporate the two-month lag into your analysis to predict Bitcoin's potential moves more accurately. For instance, a recent resurgence in liquidity growth could signal a Bitcoin rally within the next two months.
Use as a Macro Indicator: Monitor liquidity trends alongside other economic indicators and asset performance metrics to build a more comprehensive investment framework.
By tracking these dynamics, traders and investors can better anticipate Bitcoin's trajectory and make informed decisions.
RSI, Volume, MACD, EMA ComboRSI + Volume + MACD + EMA Trading System
This script combines four powerful indicators—Relative Strength Index (RSI), Volume, Moving Average Convergence Divergence (MACD), and Exponential Moving Average (EMA)—to create a comprehensive trading strategy for better trend confirmation and trade entries.
How It Works
RSI (Relative Strength Index)
Helps identify overbought and oversold conditions.
Used to confirm momentum strength before taking a trade.
Volume
Confirms the strength of price movements.
Avoids false signals by ensuring there is sufficient trading activity.
MACD (Moving Average Convergence Divergence)
Confirms trend direction and momentum shifts.
Provides buy/sell signals through MACD line crossovers.
EMA (Exponential Moving Average)
Acts as a dynamic support and resistance level.
Helps filter out trades that go against the overall trend.
Trading Logic
Buy Signal:
RSI is above 50 (bullish momentum).
MACD shows a bullish crossover.
The price is above the EMA (trend confirmation).
Volume is increasing (strong participation).
Sell Signal:
RSI is below 50 (bearish momentum).
MACD shows a bearish crossover.
The price is below the EMA (downtrend confirmation).
Volume is increasing (intense selling pressure).
Backtesting & Risk Management
The strategy is optimized for scalping on the 1-minute timeframe (adjustable for other timeframes).
Default settings use realistic commission and slippage to simulate actual trading conditions.
A stop-loss and take-profit system is integrated to manage risk effectively.
This script is designed to help traders filter out false signals, improve trend confirmation, and increase trade accuracy by combining multiple indicators in a structured way.
Turtle Soup Strategy
هذه هي طريقة بناء استراتيجية **Turtle Soup** على **TradingView** باستخدام **Pine Script**. إذا كنت بحاجة إلى تعديل أو إضافة مزيد من التفاصيل، يمكننا تحسين الاستراتيجية أكثر بناءً على احتياجاتك.
autotrade.it DCA bot Emulator
DCA Bot Emulator – Modified Version
This script is originally created by ericlin0122. Full credit goes to the original author for developing the core strategy.
Link:
🔹 What I Modified:
I have added an alert system to integrate this strategy with my third-party tool, allowing for automated execution of trades. I also add to have choice to where to start trade
🔹 Disclaimer:
This strategy is for educational purposes only and should not be considered financial advice. Please use it at your own risk.
Higher High & Lower Low Detector (Non-Repainting)Higher High & Lower Low Non-Repainting Indicator
How It Works
✅ Higher High (HH) – When the new swing high is higher than the previous high.
✅ Higher Low (HL) – When the new swing low is higher than the previous low.
✅ Lower High (LH) – When the new swing high is lower than the previous high.
✅ Lower Low (LL) – When the new swing low is lower than the previous low.
Why This Indicator Doesn't Repaint
✅ No future data is used – Swing points are only confirmed once a candle closes.
✅ No use of security() function – Ensuring no lookahead bias.
✅ Fixed labels on chart – Once an HH, HL, LH, or LL appears, it stays.
Simple Sessions========== TLDR ==========
The "Simple Sessions" indicator plots vertical lines and labels at the open and close of the US (New York), Asia (Tokyo), and Europe (London), daily session. The existing session indicators I could find all changed the background color of the chart for the entire session or added extra information to the chart that cluttered up my view. This is meant to be a less noisy and easy to interpret indication that the session you trade has started or is ending.
========== Features ==========
- Show or hide vertical lines for session opens and closes
- Show or hide labels for session opens and closes
- Show or hide each session individually
- Show or hide just the session close indications
- Change the color used for each session open and close
- Change the labels text, size, and text color
========== Limitations ==========
The session start and end times are hard coded in for their time zones and can't be changed:
- US (New York) - 9:30 - 16:00
- Asia (Tokyo) - 9:00 - 15:00
- Europe (London) - 8:30 - 16:30
========== Use Cases ==========
- Easily see when each session started and ended without the chart being too noisy
- Make it easier to identify price action patterns and trade setups that may occur on the open of each session
=============================
If you'd like more features or options feel free to request them in the comments.
Global M2 sandboxshows global m2 (with offset) and calculates correlation with chart
derived from work by MarnyMarek
Global M2 MACD (Bitcoin Predictor)Global M2 Money Supply MACD Indicator
This indicator provides a MACD-based analysis of the Global M2 Money Supply, offering insights into potential buy and sell signals for Bitcoin.
How It Works
The M2 Money Supply represents the total amount of money in circulation, including cash, checking deposits, and easily convertible near money. It is a key macroeconomic indicator influencing asset prices, including Bitcoin.
The MACD (Moving Average Convergence Divergence) is applied to the Global M2 data to track momentum shifts.
Crossovers between the MACD line and the signal line indicate potential trend reversals, providing actionable insights for Bitcoin traders.
Bullish Crossover (MACD crosses above signal line) → Possible buy signal
Bearish Crossover (MACD crosses below signal line) → Possible sell signal
How to Use It
This indicator is most effective when combined with on-chain metrics and macro trends for a broader market perspective.
Suitable for long-term Bitcoin investors and macro traders looking to align trades with global liquidity cycles.
Can be used on higher timeframes (daily, weekly) to identify significant market shifts.
Why It’s Unique
Unlike standard MACD indicators, this version applies the concept to global monetary liquidity, offering a macro perspective rather than a price-based trend analysis.
Helps traders anticipate Bitcoin movements based on the expansion or contraction of money supply, which historically correlates with risk-on and risk-off environments.
This indicator is designed for traders who want to incorporate macro liquidity trends into their Bitcoin trading strategy.
Spread Rebalance SimulationThe Spread Rebalance Simulator is a tool designed to help visualize the effect of rebalancing on spread trading returns. Typically, TradingView charts are used to display spread charts, but this method assumes that the ratio remains unchanged on each bar. In real trading scenarios, the ratio constantly changes, and this indicator allows traders to see a more accurate representation of spread trading.
The next version will include support for input ratio and trading cost.
To use this simply select any chart (as a long pair) then fill the symbol name for the short pair. Then choose the rebalance period. The blue line will show you the equity of this pair combination.
The Investment Clock Orbital GraphThe Investment Clock Orbital Graph is an advanced visualization tool designed to help traders and investors track economic cycles using a dynamic scatter plot of GDP growth vs. CPI inflation rates.
This indicator is a fusion of two powerful TradingView indicators:
LuxAlgo ’s Relative Strength Scatter Plot – A robust scatter plot for tracking relative strength.
The Investment Clock Indicator – A cycle-based approach to market rotation. This indicator contains more information regarding The Investment Clock.
By combining these approaches, the Investment Clock Orbital Graph enables traders to visualize economic momentum and inflationary trends in a unique, orbital-style scatter plot.
Key Features & Improvements
Orbital Graph Representation – Displays GDP growth and CPI inflation as a dynamic, evolving scatter plot, showing how the economy moves through different phases.
Quadrant-Based Market Regimes – Identifies four key economic phases:
1)🔥 Overheating (High Growth, High Inflation)
2)📉 Stagflation (Low Growth, High Inflation)
3)🤒 Recovery (High Growth, Low Inflation)
4)🎈 Reflation (Low Growth, Low Inflation)
Data-Driven Analysis – Utilizes FRED (Federal Reserve Economic Data) for accurate real-world GDP & CPI data.
Trailing Path of Economic Evolution – Tracks historical economic cycles over time to show momentum and cyclical movements.
Customizable Parameters – Set sustainable GDP growth and inflation thresholds, adjust trail length, and fine-tune scatter plot resolution.
Auto-Labeled Quadrants & Revised Accurate Market Guidance – Each quadrant includes newly updated tooltips and annotations (like ETF suggestions) to help traders make informed decisions.
Live Macro Forecasting Tool – Helps traders anticipate future market conditions, rate hikes/cuts, and sector rotations.
How to Use for Trading Decisions
The Investment Clock Orbital Graph helps traders and macro investors by identifying market phases and providing insights into asset class performance during different economic conditions.
📌 Step 1: Identify the Current Quadrant
Locate the most recent point on the orbital graph to see if the economy is in Overheating, Stagflation, Recovery, or Reflation.
📌 Step 2: Forecast Market Trends
The trajectory of the points can predict upcoming economic shifts:
Overheating → Stagflation ➡️ Expect economic slowdowns, bearish stock markets.
Stagflation → Reflation ➡️ Interest rate cuts likely, bonds and defensive stocks perform well.
Reflation → Recovery ➡️ Risk-on rally, technology and cyclicals perform best.
Recovery → Overheating ➡️ Commodities surge, inflation rises, and central banks intervene.
📌 Step 3: Align Trading & Investing Strategies
🔥 Overheating – Favor commodities & energy (Oil, Industrial Stocks, Materials).
📉 Stagflation – Favor defensive assets (Cash, Utilities, Healthcare).
🤒 Recovery – Favor growth stocks (Technology, Consumer Discretionary).
🎈 Reflation – Favor bonds, value stocks, and financials.
📌 Step 4: Monitor Trends Over Time
The indicator visualizes economic movement over multiple months, allowing traders to confirm long-term trends vs. short-term noise.
The Investment Clock Orbital Graph is an essential macro trading tool, providing a real-time visualization of economic conditions. By tracking GDP growth vs. CPI inflation, traders and investors can align their portfolios with major macroeconomic shifts, predict sector rotations, and anticipate central bank policy changes.
Non-Repainting EMA CrossoverSimple non-repainting TradingView indicator in Pine Script that generates buy and sell signals based on the EMA crossover strategy. It only triggers signals when the candle closes, ensuring no repainting.
BTC/NASDAQ Ratio Divergence on Price ChartInspired by the BTC/IXIC divergence idea shared by Paulwei, this is achieved through an idea similar to the pure height divergence of RSI. The chart is more accurate at the 12h level.
Pi Cycle+Pi Cycle Indicator with addons.
Above the white line is bullish
below is bearish
Orange line is a good place to take profits. Red is a GREAT place to take big profits.
Green and purple often act as floors or local bottoms.
Works well for bitcoin but also has applications in stocks that possess more volatility
Shadow Edge (Example)This script tracks hourly price extremes (highs/lows) and their equilibrium (midpoint), plotting them as dynamic reference lines on your chart. It helps visualize intraday support/resistance levels and potential price boundaries.
Key Features
Previous Hour Levels (Static Lines):
PH (Previous Hour High): Red line.
PL (Previous Hour Low): Green line.
P.EQ (Previous Hour Equilibrium): Blue midpoint between PH and PL.
Current Hour Levels (Dynamic/Dotted Lines):
MuEH (Current Hour High): Yellow dashed line (updates in real-time).
MuEL (Current Hour Low): Orange dashed line (updates in real-time).
Labels: Clear text labels on the right edge of the chart for easy readability.
How It Works
Hourly Tracking:
Detects new hours using the hour(time) function.
Resets high/low values at the start of each hour.
Stores the previous hour’s PH, PL, and P.EQ when a new hour begins.
Dynamic Updates:
Continuously updates MuEH and MuEL during the current hour to reflect the latest extremes.
Customization
Toggle visibility of lines via inputs:
Enable/disable PH, PL, P.EQ, MuEH, MuEL individually.
Adjustable colors and line styles (solid for previous hour, dashed for current hour).
Use Case
Intraday Traders: Identify hourly ranges, breakout/retracement opportunities, or mean-reversion setups.
Visual Reference: Quickly see where price is relative to recent hourly activity.
Technical Notes
Overlay: Plots directly on the price chart.
Efficiency: Uses var variables to preserve values between bars.
Labels: Only appear on the latest bar to avoid clutter.
This tool simplifies intraday price action analysis by combining historical and real-time hourly data into a single visual framework.
Daily Time MarkerThis TradingView indicator draws thin, white, dashed vertical lines on the chart at a user-defined time each day. The indicator takes into account Daylight Saving Time (DST) adjustments, ensuring the correct time is displayed throughout the year.
Key Features:
✅ Daily Vertical Markers:
Displays vertical dashed lines from Monday to Friday at the selected time.
The lines extend infinitely in both directions.
✅ Historical & Future Projection:
Shows lines 15 days into the past and 5 days into the future for better visualization of key time levels.
✅ DST Adjustment:
Automatically adjusts between summer and winter time , ensuring the correct hour is displayed.
This indicator is useful for traders who rely on specific time-based events, such as market opens or key trading sessions.
RSI Divergence IndicatorThe RSI Divergence Indicator detects and highlights Regular and Hidden Divergences between price and the Relative Strength Index (RSI). It helps traders identify potential trend reversals and continuation patterns by analyzing pivot points in both price action and RSI movement.
Market Condition Detector By BCB ElevateMarket Condition Detector - Bullish, Bearish & Sideways Market Indicator
This indicator helps traders identify bullish, bearish, and sideways market conditions using the Average Directional Index (ADX). It calculates trend strength and direction to categorize the market into three phases:
✅ Bullish Market: ADX is above the threshold, and the positive directional index (+DI) is greater than the negative directional index (-DI).
❌ Bearish Market: ADX is above the threshold, and +DI is lower than -DI.
🔄 Sideways Market: ADX is below the threshold, indicating weak trend strength and potential consolidation.
Features:
🔹 Dynamic Market Classification - Automatically detects and updates market conditions.
🔹 Table Display - Clearly shows whether the market is bullish, bearish, or sideways in a user-friendly format.
🔹 Customizable Settings - Adjust ADX period and threshold to suit different trading strategies.
🔹 Works on All Markets - Use for Crypto, Forex, Stocks, Commodities, and Indices.
This tool is ideal for trend traders, swing traders, and breakout traders looking to optimize entries and exits.
📌 How to Use:
1️⃣ Apply it to any chart and timeframe.
2️⃣ Use the table to confirm market conditions before taking trades.
3️⃣ Combine with other indicators like moving averages, RSI, or volume analysis for better trade decisions.