Pipsttocra Technical Patterns: EV HV FVG & OBPipstocrat Technical Patterns , identifies and visualizes key technical analysis patterns and structures on a TradingView chart. Here's a simple breakdown of what it does:
Fair Value Gaps (FVG):
Detects and highlights bullish and bearish Fair Value Gaps as colored boxes.
Adds centerline markers to indicate potential price levels.
Order Blocks (OB):
Identifies bullish and bearish order blocks (areas of significant buying or selling).
Displays them as colored rectangles extending to the right of the chart.
Candlestick Patterns:
Detects Engulfing Patterns (bullish and bearish) with volume confirmation.
Highlights Hammer and Inverted Hammer patterns with customizable shapes and colors.
Customization Options:
Allows users to adjust colors, sizes, and styles for all patterns and structures.
Provides options to show/hide specific patterns like FVGs, engulfing candles, hammers, etc.
Alerts:
Generates alerts for detected patterns, such as FVGs, order blocks, engulfing candles, and confluence zones (combination of FVGs and order blocks).
Management Features:
Automatically removes older or "filled" patterns (optional).
Tracks and updates patterns dynamically as new bars form.
Purpose:
This tool helps traders spot high-probability trading opportunities by identifying key market structures (like FVGs and order blocks) and candlestick patterns. It combines multiple technical analysis concepts into one comprehensive indicator for better decision-making.
Forecasting
Pipstocrat Market Participant AnalysisPipstocrat Market Participant Analysis (PMPA) , analyzes the behavior of different types of traders in the market: Hot Money (short-term traders), Smart Money (institutional or professional traders), and Retail Traders . It uses RSI-based calculations to measure their activity and displays the results as colored bars on a chart.
Customizable Colors: Users can change the colors for each type of trader and other visual elements like reference lines.
Reference Lines: Horizontal lines at levels 5 (Support), 10 (Neutral), and 15 (Resistance) help interpret the data.
Focus on RSI: The script simplifies analysis by focusing solely on RSI-based signals.
This tool helps traders quickly identify trends and sentiment in the market, making it easier to spot potential opportunities.
Bayesian AverageThis indicator calculates a statistically informed average of the price data using the Bayesian update rule. It overlays directly on the price chart of the trading instrument.
Inputs:
* Length: An integer input (default is 20) that determines the period over which the rolling mean and variance of the closing prices are calculated. This essentially sets the lookback window for recent price action.
* Prior Mean: A floating-point number input (default is 0.0) representing the initial guess or prior belief about the average price of the asset before observing any price data within the specified Length.
* Prior Variance: A floating-point number input (default is 1.0) that quantifies the uncertainty associated with the Prior Mean. A higher value indicates less confidence in the initial guess.
Calculations:
* Rolling Mean and Variance: The script first computes the simple moving average (rollingMean) and the sample variance (rollingVariance) of the closing price using the ta.sma and ta.variance functions over the length period.
* Bayesian Update: The indicator then applies the Bayesian update formulas to combine the prior beliefs with the information extracted from the recent price data:
* Posterior Variance: This value represents the updated uncertainty about the average price after considering the recent price fluctuations. It is calculated by combining the inverse of the Prior Variance with the precision of the data (number of observations divided by the Rolling Variance).
* Posterior Mean (Bayesian Average): This is the main output of the indicator. It represents the refined estimate of the average price, taking into account both the initial Prior Mean and the information from the Rolling Mean and Rolling Variance. The formula weights the Prior Mean and the Rolling Mean based on their respective precisions (inverse of their variances).
Plotting:
* Bayesian Average (Blue Line): The indicator plots the calculated posteriorMean, which is the Bayesian average of the price, as a blue line on the chart.
* Rolling Mean (Gray Line - Optional): For comparison, the script optionally plots the traditional simple moving average (rollingMean) as a gray line.
* Prior Mean (Dotted Red Line - Optional): A horizontal line representing the initial priorMean is optionally drawn on the chart as a red dotted line, serving as a reference.
* Posterior Variance (Orange Line - Optional): The posteriorVariance, representing the uncertainty, is also optionally plotted as an orange line.
In essence, this indicator attempts to provide a more statistically sound and potentially smoother representation of the average price by blending an initial belief with observed market data. The Prior Mean and Prior Variance allow users to incorporate their existing knowledge or assumptions into the calculation, while the Bayesian update mechanism adjusts these beliefs based on the recent price action.
Bias TableOverview
The Bias Table Indicator is a multi-timeframe analysis tool designed to provide a quick sentiment overview across multiple timeframes. It combines signals from Moving Averages (MAs) and Oscillators to determine market bias, helping traders make more informed decisions.
Key Features
✔ Multi-Timeframe Analysis (MTF) – Displays market bias across up to five timeframes.
✔ Customizable Signals – Choose whether bias is based on Moving Averages (MAs), Oscillators, or a combination of both.
✔ Visual Table Format – The indicator presents the bias as a color-coded table in the bottom-right corner of the chart for quick reference.
✔ Adjustable Colors & Display Settings – Users can customize colors for different sentiment states (Strong Buy, Buy, Neutral, Sell, Strong Sell).
How It Works
Bias Calculation: The indicator evaluates market conditions using preset values (which can be replaced with actual logic) to determine sentiment for each timeframe.
Multi-Timeframe Support: The table can display bias from hourly to monthly timeframes, giving traders a broader view of market conditions.
Customizable Signals: Users can filter the table to show bias based only on MAs, Oscillators, or a combination of both.
Interpreting the Table
📊 Timeframes: The leftmost column shows selected timeframes (e.g., 1H, 4H, 1D, 1W, 1M).
📈 Signal Columns:
MAs – Bias based on Moving Averages.
Oscillators – Bias based on momentum indicators like RSI, Stochastics, etc.
All – A combined bias based on both MAs & Oscillators.
🚦 Color-Coded Ratings:
🔵 Strong Buy – High bullish strength.
🔹 Buy – Moderate bullish sentiment.
⚪ Neutral – No clear trend.
🔸 Sell – Moderate bearish sentiment.
🔴 Strong Sell – High bearish strength.
Best Used For:
📈 Trend Confirmation: Validate signals from your primary strategy.
⏳ Multi-Timeframe Analysis: See whether short-term and long-term trends align.
⚡ Quick Sentiment Check: Get a high-level view of market conditions without analyzing multiple indicators separately.
Customization Options:
Select which timeframes to include in the table.
Choose whether to base bias on MAs, Oscillators, or both.
Adjust colors for each signal type.
Geometric Momentum Breakout with Monte CarloOverview
This experimental indicator uses geometric trendline analysis combined with momentum and Monte Carlo simulation techniques to help visualize potential breakout areas. It calculates support, resistance, and an aggregated trendline using a custom Geo library (by kaigouthro). The indicator also tracks breakout signals in a way that a new buy signal is triggered only after a sell signal (and vice versa), ensuring no repeated signals in the same direction.
Important:
This script is provided for educational purposes only. It is experimental and should not be used for live trading without proper testing and validation.
Key Features
Trendline Calculation:
Uses the Geo library to compute support and resistance trendlines based on historical high and low prices. The midpoint of these trendlines forms an aggregated trendline.
Momentum Analysis:
Computes the Rate of Change (ROC) to determine momentum. Breakout conditions are met only if the price and momentum exceed a user-defined threshold.
Monte Carlo Simulation:
Simulates future price movements to estimate the probability of bullish or bearish breakouts over a specified horizon.
Signal Tracking:
A persistent variable ensures that once a buy (or sell) signal is triggered, it won’t repeat until the opposite signal occurs.
Geometric Enhancements:
Calculates an aggregated trend angle and channel width (distance between support and resistance), and draws a perpendicular “breakout zone” line.
Table Display:
A built-in table displays key metrics including:
Bullish probability
Bearish probability
Aggregated trend angle (in degrees)
Channel width
Alerts:
Configurable alerts notify when a new buy or sell breakout signal occurs.
Inputs
Resistance Lookback & Support Lookback:
Number of bars to look back for determining resistance and support points.
Momentum Length & Threshold:
Period for ROC calculation and the minimum percentage change required for a breakout confirmation.
Monte Carlo Simulation Parameters:
Simulation Horizon: Number of future bars to simulate.
Simulation Iterations: Number of simulation runs.
Table Position & Text Size:
Customize where the table is displayed on the chart and the size of the text.
How to Use
Add the Script to Your Chart:
Copy the code into the Pine Script editor on TradingView and add it to your chart.
Adjust Settings:
Customize the inputs (e.g., lookback periods, momentum threshold, simulation parameters) to fit your analysis or educational requirements.
Interpret Signals:
A buy signal is plotted as a green triangle below the bar when conditions are met and the state transitions from neutral or sell.
A sell signal is plotted as a red triangle above the bar when conditions are met and the state transitions from neutral or buy.
Alerts are triggered only on the bar where a new signal is generated.
Examine the Table:
The table displays key metrics (breakout probabilities, aggregated trend angle, and channel width) to help evaluate current market conditions.
Disclaimer
This indicator is experimental and provided for educational purposes only. It is not intended as a trading signal or financial advice. Use this script at your own risk, and always perform your own research and testing before using any experimental tools in live trading.
Credit
This indicator uses the Geo library by kaigouthro. Special thanks to Cryptonerds and @Hazzantazzan for their contributions and insights.
ATR Price FrameATR Price Frame
ATR Price Frame is a versatile and customizable TradingView indicator that uses the Average True Range (ATR) to define a dynamic price frame for effective risk management and position sizing.
Risk Management:
This indicator automatically calculates the number of units (shares or contracts) you can trade based on a user-defined maximum risk. By comparing the current price to ATR-based levels, it determines the risk per unit—applying a tailored formula for stocks and futures—so you can maintain proper risk control on every trade.
Informative Labeling:
An optional label is displayed at the far right of your chart, providing clear, concise information about your calculated unit count and, if enabled, the total risk in dollars (formatted like “3 : $45.00”). With configurable text size and horizontal offset, the label is designed to integrate seamlessly into your chart setup.
Unified Line Appearance:
The indicator draws two horizontal lines—one above and one below the current price—to create the price frame. These lines use a unified appearance with settings for length, width, style, and an optional horizontal offset, ensuring a clean and consistent visual representation of market volatility.
ATR Price Frame automatically determines whether the instrument is a stock or a futures contract, applying the appropriate risk calculations. This makes it an essential tool for traders looking to integrate volatility-based risk management into their strategies.
Market Sentiment Indicator with Adjustable Metric Smoothing
Market Sentiment Indicator for BTCUSDT: How It Works
This indicator analyzes market sentiment for BTCUSDT by combining data from various financial metrics like the VIX, DXY, SPX, GOLD, USOIL, US10Y, and BTC itself. It processes this data to assign scores that reflect bearish, bullish, or neutral conditions, ultimately providing a sentiment value. Here’s the step-by-step process:
1. Input Parameters
VIX Thresholds: Define levels (e.g., high, moderate, low) to identify risk-off (bearish) or risk-on (bullish) market conditions.
Change Thresholds: Set limits for "large" and "small" percentage changes in metrics like DXY (Dollar Index), SPX (S&P 500), and BTC, as well as other assets.
2. Data Fetching
Collect closing prices for:
VIX (volatility index)
DXY (U.S. Dollar Index)
SPX (S&P 500)
GOLD (gold price)
USOIL (crude oil price)
US10Y (10-year Treasury yield)
BTC (from the BTCUSDT chart)
These are typically retrieved using a function like request.security in a trading platform.
3. Smoothed Data
Apply Exponential Moving Averages (EMAs) to the closing prices of each metric to smooth out noise. The smoothing length (e.g., 10-day, 20-day) is customizable.
Calculate:
Smoothed percentage changes for DXY, SPX, BTC, GOLD, and USOIL.
Absolute change for US10Y (since it’s a yield, not a price).
4. Step Scores Calculation
The indicator assigns scores based on specific market conditions:
Step 1: Strong Risk-Off (Bearish)
High VIX, strongly rising DXY, strongly falling SPX and BTC.
Step 2: Moderate Risk-Off (Bearish)
Moderately high VIX, moderately rising DXY, moderately falling SPX and BTC.
Step 3: Neutral
VIX near neutral, small changes in DXY, SPX, and BTC.
Step 4: Moderate Risk-On (Bullish)
Moderately low VIX, moderately falling DXY, moderately rising SPX and BTC.
Step 5: Strong Risk-On (Bullish)
Low VIX, strongly falling DXY, strongly rising SPX and BTC.
Step 6: Inflation Concern
Rising GOLD, USOIL, US10Y, and falling DXY.
Step 7: Deflation Concern
Falling GOLD, USOIL, US10Y, and rising DXY.
5. Composite Scores
Bearish Composite: Sum of Step 1 (strong risk-off) and Step 2 (moderate risk-off) scores.
Bullish Composite: Sum of Step 4 (moderate risk-on) and Step 5 (strong risk-on) scores.
6. Sentiment Calculation
Compute a weighted average of all step scores:
Weights: -3 (Step 1), -2 (Step 2), 0 (Step 3), 2 (Step 4), 3 (Step 5), 1 (Step 6), -1 (Step 7).
This produces a sentiment score ranging from negative (bearish) to positive (bullish).
If the total score is zero, sentiment is set to zero to avoid issues.
7. Visualization
Bearish Composite: Plotted in red.
Bullish Composite: Plotted in green.
Sentiment: Plotted in blue.
Why It’s Useful
This indicator gives you a comprehensive view of market sentiment by blending traditional financial metrics (like VIX and SPX) with BTC-specific data. The use of EMAs and customizable thresholds makes it adaptable to different timeframes and market conditions, helping you gauge whether the market is leaning bearish, bullish, or neutral.
IU BBB(Big Body Bar) StrategyDESCRIPTION
The IU BBB (Big Body Bar) Strategy is a price action-based trading strategy that identifies high-momentum candles with significantly larger body sizes compared to the average. It enters trades when a strong bullish or bearish move occurs and manages risk using an ATR-based trailing stop-loss system.
USER INPUTS:
- Big Body Threshold – Defines how many times larger the candle body should be compared to the average body ( default is 4 ).
- ATR Length – The period for the Average True Range (ATR) used in the trailing stop-loss calculation ( default is 14 ).
- ATR Factor – Multiplier for ATR to determine the trailing stop distance ( default is 2 ).
LONG CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is higher than the opening price (bullish candle).
SHORT CONDITION:
- The current candle’s body is greater than the average body size multiplied by the Big Body Threshold.
- The closing price is lower than the opening price (bearish candle).
LONG EXIT:
- ATR-based trailing stop-loss dynamically adjusts, locking in profits as the price moves higher.
SHORT EXIT:
- ATR-based trailing stop-loss dynamically adjusts, securing profits as the price moves lower.
WHY IT IS UNIQUE:
- Unlike traditional momentum strategies, this system adapts to volatility by filtering trades based on relative candle size.
- It incorporates an ATR-based trailing stop-loss, ensuring risk management and profit protection.
- The strategy avoids choppy market conditions by only trading when significant momentum is present.
HOW USERS CAN BENEFIT FROM IT:
- Catch Strong Price Moves – The strategy helps traders enter trades when the market shows decisive momentum.
- Effective Risk Management – The ATR-based trailing stop ensures that winning trades remain profitable.
- Works Across Markets – Can be applied to stocks, forex, crypto, and indices with proper optimization.
- Fully Customizable – Users can adjust sensitivity settings to match their trading style and time frame.
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.
Orion Daily Bias v1What It Does
The Daily Bias Indicator identifies the daily market bias (bullish or bearish) using principles inspired by institutional trading activity. It analyses daily price action to detect imbalances caused by large market participants, providing a clear directional bias for the upcoming trading day.
Key Features
Daily Bias Signals:
Displays "Daily Bias: Bullish" (green) or "Daily Bias: Bearish" (red) in the top-right corner of your chart.
Colors daily candles to reflect the current bias (toggle on/off).
Non-Repainting:
Signals finalize only at market close and never change retroactively.
Intraday Flexibility:
Use the daily bias to align intraday strategies (e.g., 15-minute entries) with the broader trend.
Custom Alerts:
Receive alerts only when the bias changes (e.g., bullish to bearish). Alerts trigger at market close, preparing you for the next trading day.
How It Works
Market Close Analysis:
At the end of each trading day, the indicator evaluates price action and institutional-level inefficiencies to determine the next day’s bias.
Visual Guidance:
Daily candles are coloured green (bullish) or red (bearish) to reflect the confirmed bias.
A label in the top-right corner updates automatically across all timeframes.
Actionable Alerts:
Set alerts to notify you only when the bias shifts, helping you stay focused on high-probability setups.
Why Traders Use It
Simplify Decision-Making: Start each day with a clear bias, avoiding trades against institutional momentum.
Adaptable to Strategies: Works with scalping, swing trading, or position building.
Rule-Based Signals: Objective criteria finalize at market close.
Settings & Parameters
Candle Colouring: Enable/disable daily candle highlights.
Daily bias label: Turn the daily bias label on and off
Alerts: Setting an alert with this indicator will only alert you if a bias changes from bullish to bearish or vice versa.
How to Use It
Add the indicator to your chart (works on any timeframe).
Check the top-right label for the daily bias.
Set alerts to track bias changes effortlessly.
Combine with your preferred intraday strategy for entries/exits.
Important Notes
No Repainting: Signals lock in at daily close and never change.
Confirmation Tool: Pair with additional analysis (e.g., support/resistance, volume).
Time Agnostic: The daily bias applies to all intraday timeframes (1H, 15M, etc.).
Disclaimer
This tool is for educational purposes only. It is not financial advice, and past performance does not guarantee future results. Always test strategies in a risk-controlled environment.
SemiCircle Cycle Notation PivotsFor decades, traders have sought to decode the rhythm of the markets through cycle theory. From the groundbreaking work of HM Gartley in the 1930s to modern-day cycle trading tools on TradingView, the concept remains the same: markets move in repeating waves with larger cycles influencing smaller ones in a fractal-like structure, and understanding their timing gives traders an edge to better anticipate future price movements🔮.
Traditional cycle analysis has always been manual, requiring traders to painstakingly plot semicircles, diamonds, or sine waves to estimate pivot points and time reversals. Drawing tools like semicircle & sine wave projections exist on TradingView, but they lack automation—forcing traders to adjust cycle lengths by eye, often leading to inconsistencies.
This is where SemiCircle Cycle Notation Pivots indicator comes in. Semicircle cycle chart notation appears to have evolved as a practical visualization tool among cycle theorists rather than being pioneered by a single individual; some key influences include HM Gartley, WD Gann, JM Hurst, Walter Bressert, and RayTomes. Built upon LonesomeTheBlue's foundational ZigZag Waves indicator , this indicator takes cycle visualization to the next level by dynamically detecting price pivots and then automatically plotting semicircles based on real-time cycle length calculations & expected rhythm of price action over time.
Key Features:
Automated Cycle Detection: The indicator identifies pivot points based on your preference—highs, lows, or both—and plots semicircle waves that correspond to Hurst's cycle notation.
Customizable Cycle Lengths: Tailor the analysis to your trading strategy with adjustable cycle lengths, defaulting to 10, 20, and 40 bars, allowing for flexibility across various timeframes and assets.
Dynamic Wave Scaling: The semicircle waves adapt to different price structures, ensuring that the visualization remains proportional to the detected cycle lengths and aiding in the identification of potential reversal points.
Automated Cycle Detection: Dynamically identifies price pivot points and automatically adjusts offsets based on real-time cycle length calculations, ensuring precise semicircle wave alignment with market structure.
Color-Coded Cycle Tiers: Each cycle tier is distinctly color-coded, enabling quick differentiation and a clearer understanding of nested market cycles.
Simple APF Strategy Backtesting [The Quant Science]Simple backtesting strategy for the quantitative indicator Autocorrelation Price Forecasting. This is a Buy & Sell strategy that operates exclusively with long orders. It opens long positions and generates profit based on the future price forecast provided by the indicator. It's particularly suitable for trend-following trading strategies or directional markets with an established trend.
Main functions
1. Cycle Detection: Utilize autocorrelation to identify repetitive market behaviors and cycles.
2. Forecasting for Backtesting: Simulate trades and assess the profitability of various strategies based on future price predictions.
Logic
The strategy works as follow:
Entry Condition: Go long if the hypothetical gain exceeds the threshold gain (configurable by user interface).
Position Management: Sets a take-profit level based on the future price.
Position Sizing: Automatically calculates the order size as a percentage of the equity.
No Stop-Loss: this strategy doesn't includes any stop loss.
Example Use Case
A trader analyzes a dayli period using 7 historical bars for autocorrelation.
Sets a threshold gain of 20 points using a 5% of the equity for each trade.
Evaluates the effectiveness of a long-only strategy in this period to assess its profitability and risk-adjusted performance.
User Interface
Length: Set the length of the data used in the autocorrelation price forecasting model.
Thresold Gain: Minimum value to be considered for opening trades based on future price forecast.
Order Size: percentage size of the equity used for each single trade.
Strategy Limit
This strategy does not use a stop loss. If the price continues to drop and the future price forecast is incorrect, the trader may incur a loss or have their capital locked in the losing trade.
Disclaimer!
This is a simple template. Use the code as a starting point rather than a finished solution. The script does not include important parameters, so use it solely for educational purposes or as a boilerplate.
Reversals & PullbacksReversals & Pullbacks:
This indicator tries to predict Price reversals and pullbacks.
It works best on the higher timeframes (H4 and D) and was written for currencies but also shows some decent results on Crypto.
Inputs:
- Confirmation: When activated, the indicator waits to print the bullish/bearish signal untill price shows a clear sign of reversal. When not activated, it only looks if it thinks a pullback or reversal is likely to happen without waiting for confirmation. There will be more (false) signals when disabled
- Sensitivity: When set to 0, there will be more (false) signals printed, and when highering this value there will be less signals. The default value is 5 but you can experiment which value works best on what instrument.
- Arrow Distance: can be used to place the arrows further away from price if needed.
Ethereum Logarithmic Regression Bands (Fine-Tuned)This indicator, "Ethereum Logarithmic Regression Bands (Fine-Tuned)," is my attempt to create a tool for estimating long-term trends in Ethereum (ETH/USD) price action using logarithmic regression bands. Please note that I am not an expert in financial modeling or coding—I developed this as a personal project to serve as a rough estimation rather than a precise or professional trading tool. The data was fitted to non-bubble periods of Ethereum's history to provide a general trendline, but it’s far from perfect.
I’m sharing this because I couldn’t find a similar indicator available, and I thought it might be useful for others who are also exploring ETH’s long-term behavior. The bands start from Ethereum’s launch price and are adjustable via input parameters, but they are based on my best effort to align with historical data. With some decent coding experience, I’m sure someone could refine this further—perhaps by optimizing the coefficients or incorporating more advanced fitting techniques. Feel free to tweak the code, suggest improvements, or use it as a starting point for your own projects!
How to Use:
** THIS CHART IS SPECIFICALLY CODED FOR ETH/USD (KRAKEN) ON THE WEEKLY TIMEFRAME IN LOG VIEW**
The main band (blue) represents the logarithmic regression line.
The upper (red) and lower (green) bands provide a range around the main trend, adjustable with multipliers.
Adjust the "Launch Price," "Base Coefficient," "Growth Coefficient," and other inputs to experiment with different fits.
Disclaimer:
This is not financial advice. Use at your own risk, and always conduct your own research before making trading decisions.
M2 Global Liquidity Index - 10 Week Lead
M2 Global Liquidity Index - Forward Projection (10 Weeks)
This indicator provides a 10-week forward projection of the M2 Global Liquidity Index, offering traders insight into potential future market conditions based on global money supply trends.
What This Indicator Shows
The M2 Global Liquidity Index aggregates M2 money stock data from five major economies:
- China (CNY)
- United States (USD)
- European Union (EUR)
- Japan (JPY)
- Great Britain (GBP)
All values are converted to USD and presented as a unified global liquidity metric, providing a comprehensive view of worldwide monetary conditions.
Forward Projection Feature
This adaptation displays the indicator 10 weeks ahead of the current price, allowing you to visualize potential future liquidity conditions that might influence market behavior. The projection maintains data integrity while providing an advanced view of the liquidity landscape.
Trading Applications
- Anticipate potential market reactions to changing global liquidity conditions
- Identify divergences between projected liquidity and current price action
- Develop longer-term strategic positions based on forward liquidity projections
- Enhance your macro-economic analysis toolkit
Credit
This indicator is an adaptation of the original "M2 Global Liquidity Index" created by Mik3Christ3ns3n. Full credit for the original concept and implementation goes to the original author. This version simply adds a 10-week forward projection to the existing calculations.
Disclaimer
This indicator is for informational purposes only and should be used as one of many tools in your analysis. Past performance and projections are not guarantees of future results.
MTF ATR BandsA simple but effective MTF ATR bands indicator.
The script calculate and display ATR bands low and high of the current timeframe using high, low inputs and an RMA moving average, adding to it ATR of the period multiplied with the user multiplier, default is set to 1.5.
Than is calculated a smoothed average of the range and the color of it based on its slope, same color is used to fill the atr bands.
Than the higher timeframe bands are calculated and displayed on the chart.
How can be used ?
The higher timeframe average and bands can give you long term direction of the trend and the current timeframes moving average and filling short term trend, for example using the 15 min chart with a 4h HTF bands, or an 1h with a daily, or a daily with an weekly or weekly with bi-monthly atr bands.
Also can be used as a stop loss indicator.
Hope you will like it, any question send me a PM.
IU Gap Fill StrategyThe IU Gap Fill Strategy is designed to capitalize on price gaps that occur between trading sessions. It identifies gaps based on a user-defined percentage threshold and executes trades when the price fills the gap within a day. This strategy is ideal for traders looking to take advantage of market inefficiencies that arise due to overnight or session-based price movements. An ATR-based trailing stop-loss is incorporated to dynamically manage risk and lock in profits.
USER INPUTS
Percentage Difference for Valid Gap - Defines the minimum gap size in percentage terms for a valid trade setup. ( Default is 0.2 )
ATR Length - Sets the lookback period for the Average True Range (ATR) calculation. (default is 14 )
ATR Factor - Determines the multiplier for the trailing stop-loss, helping in risk management. ( Default is 2.00 )
LONG CONDITION
A gap-up occurs, meaning the current session opens above the previous session’s close.
The price initially dips below the previous session's close but then recovers and closes above it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
SHORT CONDITION
A gap-down occurs, meaning the current session opens below the previous session’s close.
The price initially moves above the previous session’s close but then closes below it.
The gap meets the valid percentage threshold set by the user.
The bar is not the first or last bar of the session to avoid false signals.
LONG EXIT
An ATR-based trailing stop-loss is set below the entry price and dynamically adjusts upwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
SHORT EXIT
An ATR-based trailing stop-loss is set above the entry price and dynamically adjusts downwards as the price moves in favor of the trade.
The position is closed when the trailing stop-loss is hit.
WHY IT IS UNIQUE
Precision in Identifying Gaps - The strategy focuses on real price gaps rather than minor fluctuations.
Dynamic Risk Management - Uses ATR-based trailing stop-loss to secure profits while allowing the trade to run.
Versatility - Works on stocks, indices, forex, and any market that experiences session-based gaps.
Optimized Entry Conditions - Ensures entries are taken only when the price attempts to fill the gap, reducing false signals.
HOW USERS CAN BENEFIT FROM IT
Enhance Trade Timing - Captures high-probability trade setups based on market inefficiencies caused by gaps.
Minimize Risk - The ATR trailing stop-loss helps protect gains and limit losses.
Works in Different Market Conditions - Whether markets are trending or consolidating, the strategy adapts to potential gap fill opportunities.
Fully Customizable - Users can fine-tune gap percentage, ATR settings, and stop-loss parameters to match their trading style.
Round NumbersTries to only show major round numbers regardless of whether you're looking at something priced in the thousands or under a dollar.
ReadyFor401ks Pivot / Support / ResistOverview
The ReadyFor401ks Pivot / Support / Resist indicator is a versatile tool designed to help traders identify key price levels—pivots, supports, and resistances—derived from a higher timeframe. This indicator recalculates levels based on a user-defined timeframe, providing you with a broader context for potential market reversals and continuations.
Key Features and Benefits
• Customizable Higher Timeframe:
You can select the frequency at which the levels are recalculated. For example, on a Daily chart, you might choose a 3-month timeframe to determine the pivot levels. This allows you to capture longer-term support and resistance zones that can be crucial for identifying major price reactions.
• Visual Clarity:
With toggles to show or hide the pivot, support, and resistance lines on the price chart, you have full control over the visual clutter on your chart. Additionally, you can choose to display the exact price values directly on the price scale, giving you an immediate reference as you trade.
• Enhanced Data Display:
In addition to price scale labels, the indicator offers an option to show the level values on the status line (data window). This feature is especially beneficial for traders who want to keep a close eye on these key levels without compromising chart space.
Practical Example
Imagine you’re analyzing a Daily chart while the indicator is set to recalculate levels on a 3-month frequency . Over a three-month period, the indicator determines a pivot point (P) along with three levels of resistance (R1, R2, R3) and support (S1, S2, S3). As price action unfolds, you may observe that:
• Price approaches the pivot level (P): This could indicate a potential reversal or a consolidation zone.
• Price bounces off a resistance level (e.g., R1): Signaling that the market is struggling to break higher.
• Price finds support at S1: Providing an opportunity to look for a bullish reversal.
By combining these insights with your own technical analysis, you can make more informed trading decisions based on significant levels that have been validated over a longer timeframe.
Conclusion
The ReadyFor401ks Pivot / Support / Resist indicator is ideal for traders who want to add an extra layer of confirmation to their trading strategies by identifying key price levels derived from higher timeframe data. Whether you’re a swing trader or a long-term investor, this tool helps you visualize crucial support and resistance areas, improving your market timing and risk management. Enjoy the enhanced clarity and flexibility this indicator offers on your TradingView charts!
Signal ScannerSignal Scanner
The Signal Scanner is a powerful tool designed to help traders identify high-probability trade opportunities across multiple timeframes. It works by scanning for key buy and sell signals based on a combination of trend-following indicators and market momentum.
Key Features:
Multi-Timeframe Scanning: The Signal Scanner analyzes signals across various timeframes, from scalping opportunities on the 5-minute chart to swing trades on the daily chart. This flexibility allows traders to adapt to their preferred trading style.
Trend Identification: The scanner utilizes a proprietary trend-detection algorithm that identifies both strong and weak trends in the market. It detects price action patterns, trend reversals, and consolidations to help traders make informed decisions.
Signal Alerts: Once a valid trade signal is identified, the scanner alerts traders with clear Buy and Sell indicators. These alerts are customizable and can be tailored to specific market conditions and trader preferences.
Confirmation Signals: To ensure accuracy, the Signal Scanner works in tandem with Vinnie's Trading Cheat Code and Confirm Alerts. It provides confirmation of trend direction and entry points, increasing the probability of successful trades.
How It Works:
The Signal Scanner integrates several layers of analysis to provide actionable insights:
Trend Analysis: Detects and follows prevailing market trends using a combination of moving averages and momentum indicators.
Pattern Recognition: Identifies key market patterns such as breakouts, reversals, and pullbacks, ensuring that traders enter at the most opportune times.
Customizable Settings: Allows traders to adjust parameters like timeframes, sensitivity, and alert conditions to fine-tune the scanner to their trading needs.
How to Use:
Select your preferred timeframe (e.g., 5-minute for scalping, 1-hour for day trading, or daily for swing trading).
The Signal Scanner will begin scanning the market, identifying potential entry points based on the selected criteria.
Once a valid signal is detected, the script will display Buy or Sell alerts.
Confirm signals using the accompanying indicators (such as Vinnie's Trading Cheat Code or Confirm Alerts) for added confirmation.
This tool is suitable for all types of traders, from scalpers to swing traders, and can be used in combination with other trading strategies to enhance market analysis and decision-making.
Signal Scanner - Ultimate Trend Confirmation for Futures & Scalping**
The **Signal Scanner** is a powerful tool designed for all trading instruments but optimized for **Futures trading**. It works across all timeframes, helping traders identify high-probability buy and sell signals with precision.
### 🔥 **How It Works:**
✅ **Multi-Timeframe Compatibility** – Works on all timeframes for trend confirmation.
✅ **Clear Buy & Sell Signals** – Instantly identifies market direction.
✅ **Trend Confirmation for Scalping** – Best suited for intraday & short-term trades.
### ⚡ **Scalping Strategy:**
1️⃣ **Set the Signal Scanner’s timeframe to 1 Hour in settings.**
2️⃣ **Switch to the 15-minute or 5-minute chart.**
3️⃣ **Trade in the direction of the 1-hour signal** (e.g., if the 1-hour shows a Buy, look for buying opportunities on the lower timeframe).
4️⃣ **Use additional confirmations** (e.g., CC MACD or Confirm Buy/Sell signals) for precision entries.
📈 Whether you're a Futures trader or scalper, the **Signal Scanner** helps you trade with confidence and consistency! 🚀
NeoTrend AI- Advanced Trading SignalsNeoTrend AI – Advanced Trading Signals
Overview
NeoTrend AI is an advanced trading signal indicator that uniquely integrates a kernel-based predictive model with adaptive volatility analysis. By processing historical price data through a Gaussian kernel matrix, NeoTrend AI produces a statistically informed predicted price. This prediction is then used to generate dynamic volatility bands that serve as adaptive support and resistance levels, leading to clear BUY and SELL signals.
Originality and Usefulness
Innovative Mashup: NeoTrend AI isn’t a mere combination of common indicators; it fuses a novel kernel-based forecasting method with volatility analysis. This creates a tool that not only tracks trends but also identifies key market zones with enhanced precision.
Actionable Insights: The indicator’s design helps traders understand both the underlying trend and the market’s volatility, providing a robust framework for making informed trading decisions.
Customizable Approach: With user-adjustable settings for lookback periods, prediction offsets, smoothness factors, and volatility multipliers, NeoTrend AI adapts to various markets and trading styles.
Omissions and Realistic Claims
Transparent Methodology: NeoTrend AI’s signals are generated solely from historical data analysis using well-established mathematical techniques. There are no unrealistic promises—past performance does not guarantee future results.
No Unsubstantiated Claims: All performance metrics and signal accuracy are clearly derived from the underlying methodology. This script is designed to provide useful insights rather than definitive trading outcomes.
Strategy Results
Kernel Forecasting:
The script builds a Gaussian kernel matrix over a chosen lookback period, smoothing historical price data and generating a predictive price that adjusts dynamically.
Adaptive Volatility Bands:
A volatility band is calculated based on the difference between the actual price and the predicted price, scaled by a user-defined multiplier. These bands change in real time, acting as dynamic support and resistance levels.
Signal Generation:
BUY Signal: Issued when the current price moves above the upper volatility band and the predicted price is trending upward.
SELL Signal: Issued when the price falls below the lower volatility band while the predicted price is trending downward.
Visual Examples
Buy and sell signals are generated, as clearly shown on the chart
Usage Tips
Parameter Customization: Adjust the lookback period, smoothness factor, and volatility multiplier to fit your trading timeframe and market conditions.
Combine with Other Tools: Use NeoTrend AI alongside additional technical indicators and robust risk management strategies for best results.
Backtest Thoroughly: Always perform comprehensive backtesting to understand how the indicator behaves under different market scenarios.
Final Remarks
NeoTrend AI is built to offer traders an original, data-driven insight into market trends without resorting to exaggerated or misleading claims. Its design emphasizes both innovation and practicality, ensuring that you receive actionable signals based on sound statistical methods.
Real-Time Price Comparator→ La version française se trouve plus bas ←
Real-Time Price Spread Comparator
This indicator allows you to compare the real-time price difference (spread) between two assets. It is particularly useful for spotting arbitrage opportunities or price discrepancies between different markets.
💡 Why is this useful?
This tool is especially practical for monitoring the gap between CME futures and the spot market. If the spread becomes too large, we can expect the market to rebalance, which can help anticipate potential price movements.
📌 Features:
✅ Compare two assets of your choice (default: BTC CME vs. BTC OANDA).
✅ Displays the spread as a real-time value on the chart.
✅ Customizable threshold for alerts when the spread exceeds a certain value.
✅ Visual alert: The label changes color and an alert icon appears when the threshold is exceeded.
✅ Adjustable label position to avoid obstructing candlestick wicks.
🛠️ How to Use:
1️⃣ Choose the asset to compare (for example, BTC CME).
2️⃣ Select the main chart (the one you are currently viewing, such as BTC OANDA).
3️⃣ Set the alert threshold (the spread value that will trigger an alert).
4️⃣ Adjust the label position using the offset settings if needed.
5️⃣ When the spread exceeds the threshold, an alert will be displayed!
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Comparateur de Spread en Temps Réel
Cet indicateur permet de comparer en temps réel la différence de prix (spread) entre deux actifs. Il est particulièrement utile pour détecter des opportunités d’arbitrage ou des écarts de prix entre différents marchés.
💡 Pourquoi c'est utile ?
Cet outil est pratique pour surveiller l’écart entre les contrats à terme CME et le marché spot. Si l’écart devient trop important, on peut s’attendre à ce que le marché s’équilibre, ce qui peut nous orienter sur les futurs mouvements du prix.
📌 Fonctionnalités :
✅ Comparez deux actifs de votre choix (par défaut : BTC CME vs. BTC OANDA).
✅ Affiche le spread en temps réel directement sur le graphique.
✅ Définissez un seuil d’alerte pour être notifié visuellement sur le graphique si le spread dépasse une certaine valeur.
✅ Alerte visuelle : le label change de couleur et une icône d’alerte apparaît en cas de dépassement.
✅ Ajustez la position du label pour éviter qu’il ne cache les mèches des bougies.
🛠️ Comment l’utiliser :
1️⃣ Choisissez l’actif à comparer (exemple : BTC CME).
2️⃣ Sélectionnez ensuite l’actif affiché sur votre graphique principal (exemple : BTC OANDA).
3️⃣ Définissez le seuil d’alerte (valeur du spread qui déclenchera une alerte).
4️⃣ Ajustez la position du label grâce aux options d’offset si nécessaire.
5️⃣ Si le spread dépasse le seuil, une alerte visuelle apparaîtra !
FinFluential Global M2 Money Supply // Days Offset =The "Global M2 Money Supply" indicator calculates and visualizes the combined M2 money supply from multiple countries and regions worldwide, expressed in trillions of USD.
M2 is a measure of the money supply that includes cash, checking deposits, and easily convertible near-money assets. This indicator aggregates daily M2 data from various economies, converts them into a common USD base using forex exchange rates, and plots the total as a single line on the chart.
It is designed as an overlay indicator aligned to the right scale, making it ideal for comparing global money supply trends with price action or other market data.
Key Features
Customizable Time Offset: Users can adjust the number of days to shift the M2 data forward or backward (from -1000 to +1000 days) via the indicator settings. This allows for alignment with historical events or forward-looking analysis.
Global Coverage Includes:
Eurozone: Eurozone M2 (converted via EUR/USD)
North America: United States, Canada
Non-EU Europe: Switzerland, United Kingdom, Finland, Russia
Pacific: New Zealand
Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore
Latin America: Brazil, Colombia, Mexico
Middle East: United Arab Emirates, Turkey
Africa: South Africa
