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Bitcoin Power Law OscillatorThis is the oscillator version of the script. The main body of the script can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B(Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Pine Script® indicator
by Cryptonerds
Anchored Probability Cone by TenozenFirst of all, credit to @nasu_is_gaji for the open source code of Log-Normal Price Forecast! He teaches me alot on how to use polylines and inverse normal distribution from his indicator, so check it out! What is this indicator all about? This indicator draws a probability cone that visualizes possible future price ranges with varying levels of statistical confidence using Inverse Normal Distribution , anchored to the start of a selected timeframe (4h, W, M, etc.) Feutures: Anchored Cone: Forecasts begin at the first bar of each chosen higher timeframe, offering a consistent point for analysis. Drift & Volatility-Based Forecast: Uses log returns to estimate market volatility (smoothed using VWMA) and incorporates a trend angle that users can set manually. Probabilistic Price Bands: Displays price ranges with 5 customizable confidence levels (e.g., 30%, 68%, 87%, 99%, 99,9%). Dynamic Updating: Recalculates and redraws the cone at the start of each new anchor period. How to use: Choose the Anchored Timeframe (PineScript only be able to forecast 500 bars in the future, so if it doesn't plot, try adjusting to a lower anchored period). You can set the Model Length, 100 sample is the default. The higher the sample size, the higher the bias towards the overall volatility. So better set the sample size in a balanced manner. If the market is inside the 30% conifidence zone (gray color), most likely the market is sideways. If it's outside the 30% confidence zone, that means it would tend to trend and reach the other probability levels. Always follow the trend, don't ever try to trade mean reversions if you don't know what you're doing, as mean reversion trades are riskier. That's all guys! I hope this indicator helps! If there's any suggestions, I'm open for it! Thanks and goodluck on your trading journey!
Pine Script® indicator
by Tenozen
Bitcoin Power LawThis is the main body version of the script. The Oscillator version can be found here. Understanding the Bitcoin Power Law Model Also called the Long-Term Bitcoin Power Law Model. The Bitcoin Power Law model tries to capture and predict Bitcoin's price growth over time. It assumes that Bitcoin's price follows an exponential growth pattern, where the price increases over time according to a mathematical relationship. By fitting a power law to historical data, the model creates a trend line that represents this growth. It then generates additional parallel lines (support and resistance lines) to show potential price boundaries, helping to visualize where Bitcoin’s price could move within certain ranges. In simple terms, the model helps us understand Bitcoin's general growth trajectory and provides a framework to visualize how its price could behave over the long term. The Bitcoin Power Law has the following function: Power Law = 10^(a + b * log10(d)) Consisting of the following parameters: a: Power Law Intercept (default: -17.668). b: Power Law Slope (default: 5.926). d: Number of days since a reference point(calculated by counting bars from the reference point with an offset). Explanation of the a and b parameters: Roughly explained, the optimal values for the a and b parameters are determined through a process of linear regression on a log-log scale (after applying a logarithmic transformation to both the x and y axes). On this log-log scale, the power law relationship becomes linear, making it possible to apply linear regression. The best fit for the regression is then evaluated using metrics like the R-squared value, residual error analysis, and visual inspection. This process can be quite complex and is beyond the scope of this post. Applying vertical shifts to generate the other lines: Once the initial power-law is created, additional lines are generated by applying a vertical shift. This shift is achieved by adding a specific number of days (or years in case of this script) to the d-parameter. This creates new lines perfectly parallel to the initial power law with an added vertical shift, maintaining the same slope and intercept. In the case of this script, shifts are made by adding +365 days, +2 * 365 days, +3 * 365 days, +4 * 365 days, and +5 * 365 days, effectively introducing one to five years of shifts. This results in a total of six Power Law lines, as outlined below (From lowest to highest): Base Power Law Line (no shift) 1-year shifted line 2-year shifted line 3-year shifted line 4-year shifted line 5-year shifted line The six power law lines: Bitcoin Power Law Oscillator This publication also includes the oscillator version of the Bitcoin Power Law. This version applies a logarithmic transformation to the price, Base Power Law Line, and 5-year shifted line using the formula: log10(x) . The log-transformed price is then normalized using min-max normalization relative to the log-transformed Base Power Law Line and 5-year shifted line with the formula: normalized price = log(close) - log(Base Power Law Line) / log(5-year shifted line) - log(Base Power Law Line) Finally, the normalized price was multiplied by 5 to map its value between 0 and 5, aligning with the shifted lines. Interpretation of the Bitcoin Power Law Model: The shifted Power Law lines provide a framework for predicting Bitcoin's future price movements based on historical trends. These lines are created by applying a vertical shift to the initial Power Law line, with each shifted line representing a future time frame (e.g., 1 year, 2 years, 3 years, etc.). By analyzing these shifted lines, users can make predictions about minimum price levels at specific future dates. For example, the 5-year shifted line will act as the main support level for Bitcoin’s price in 5 years, meaning that Bitcoin’s price should not fall below this line, ensuring that Bitcoin will be valued at least at this level by that time. Similarly, the 2-year shifted line will serve as the support line for Bitcoin's price in 2 years, establishing that the price should not drop below this line within that time frame. On the other hand, the 5-year shifted line also functions as an absolute resistance , meaning Bitcoin's price will not exceed this line prior to the 5-year mark. This provides a prediction that Bitcoin cannot reach certain price levels before a specific date. For example, the price of Bitcoin is unlikely to reach $100,000 before 2021, and it will not exceed this price before the 5-year shifted line becomes relevant. After 2028, however, the price is predicted to never fall below $100,000, thanks to the support established by the shifted lines. In essence, the shifted Power Law lines offer a way to predict both the minimum price levels that Bitcoin will hit by certain dates and the earliest dates by which certain price points will be reached. These lines help frame Bitcoin's potential future price range, offering insight into long-term price behavior and providing a guide for investors and analysts. Lets examine some examples: Example 1: In Example 1 it can be seen that point A on the 5-year shifted line acts as major resistance . Also it can be seen that 5 years later this price level now corresponds to the Base Power Law Line and acts as a major support at point B (Note: Vertical yearly grid lines have been added for this purpose👍). Example 2: In Example 2, the price level at point C on the 3-year shifted line becomes a major support three years later at point D, now aligning with the Base Power Law Line. Finally, let's explore some future price predictions, as this script provides projections on the weekly timeframe : Example 3: In Example 3, the Bitcoin Power Law indicates that Bitcoin's price cannot surpass approximately $808K before 2030 as can be seen at point E, while also ensuring it will be at least $224K by then (point F).
Pine Script® indicator
by Cryptonerds
Simple Volatility ConeThe Simple Volatility Cone indicator projects the potential future price range of a stock based on recent volatility. It calculates rolling standard deviation from log returns over a defined window, then uses a confidence interval to estimate the upper and lower bounds the price could reach over a future time horizon. These bounds are plotted directly on the chart, offset into the future, allowing traders to visualize expected price dispersion under a geometric Brownian motion assumption. This tool is useful for risk management, trade planning, and visualizing the potential impact of volatility.
Pine Script® indicator
by gunnjac
VOL & AVG OverlayCustom Session Volume Versus Average Volume Description: This indicator will create an overlay on your chart that will show you the following information: Custom Session Volume Average For Selected Session Percentage Comparison Options: Set Custom Time Frame For Calculations Set Custom Time Frame For Average Comparison Set Custom Time Zone Enable / Disable Each Value Change Text Color Change Background Color Change Table location Example: Set indicator to 30 period average. Set custom time frame to 9:30am to 10:30am Eastern/New York. When the time frame for the calculation is closed , the indicator will provide a comparison of the current days volume compared to the average of 30 previous days for that same time frame and display it as a percentage in the table. In this example you could compare how the first hour of the trading day compares to the previous 30 day's average, aiding in evaluating the potential volume for the remainder of the day. Notes: Times must be entered in 24 hour format. (1pm = 13:00 etc.) This indicator is for Intra-day time frames, not > Day. If you prefer data in this format as opposed to a plotted line, check out my other indicator: ADR & ATR Overlay
Pine Script® indicator
by abbadon9
ADX Z-Score OscillatorTitle: ADX Z-Score Oscillator Description: The ADX Z-Score Oscillator is a normalized version of the traditional Average Directional Index (ADX), designed to oscillate between fixed bounds for easier interpretation of trend strength. Instead of plotting the raw ADX line, this indicator calculates the Z-Score of the ADX relative to its recent average and standard deviation, allowing for consistent comparison over time and across different assets. The Z-Score oscillates between fixed horizontal levels of +2 and -2, highlighting extreme values. The orange line represents the current Z-Score of the ADX. Horizontal reference lines at +2 (red), 0 (gray), and -2 (green) help define overbought/oversold or strong/weak trend zones. A dynamic table on the chart shows the current Z-Score with color coding to indicate trend strength: 🔴 Z > 1.5 → Very strong trend 🟠 Z > 0.5 → Moderate trend 🔵 Z < -0.5 → Weakening or reversing trend 🟢 Z < -1.5 → Very weak trend or potential reversal zone This transformation of the ADX into a bounded oscillator helps traders easily assess trend strength and changes in momentum without the ambiguity of varying ADX scale levels.
Pine Script® indicator
by simonweisser_business
OBV Z-Score + Table📘 OBV Z-Score — Indicator Description Overview This indicator converts the On-Balance Volume (OBV) into a Z-Score oscillator, providing a normalized statistical view of volume flow strength relative to its recent history. How It Works OBV Calculation The On-Balance Volume accumulates volume based on price direction, showing whether volume is flowing into or out of an asset. Z-Score Transformation The OBV values are normalized via Z-Score: ini Kopieren Bearbeiten Z = (OBV - Mean) / Standard Deviation This reveals how unusually strong or weak volume momentum is compared to recent norms. Smoothing An optional moving average smoothing (SMA, EMA, VWMA, etc.) can be applied for cleaner signals. Z-Score Table A live Z-Score value is displayed in a table on the top-right of the indicator pane, clamped between +2 and -2: +2 indicates unusually high positive volume momentum -2 indicates unusually high negative volume momentum How to Use It Bullish Signal: Z-Score crossing above +1.5 or +2 signals strong buying volume pressure Bearish Signal: Z-Score crossing below -1.5 or -2 signals strong selling volume pressure Combine with Price Action: Use alongside price trends or other Z-Score indicators to improve decision making in SDCA or volume-based trading systems
Pine Script® indicator
by simonweisser_business
Dynamic Candle rating by Nikhil DoshiThis custom TradingView indicator assigns a rating from 1 to 5 to each candlestick on the chart based on the relative position of the close within its high-low range. It provides an at-a-glance visual assessment of candle strength or weakness, which can be useful for gauging intrabar sentiment. Label colors provide intuitive visual cues: 🟩 1 (Green) – Strong bullish 🟢 2 (Lime) – Mild bullish ⚪ 3 (Gray) – Neutral 🟠 4 (Orange) – Mild bearish 🔴 5 (Red) – Strong bearish
Pine Script® indicator
by yogeshwar
Futures Scalping Signal by AK_Trades – RISK PROTECTED MODEFutures Scalping Signal by AK_Trades – RISK PROTECTED MODE This precision-built scalping indicator is designed for futures traders who demand clarity, speed, and protection. ✅ Smart Signal Logic: Based on UT Bot ATR trailing stop logic Requires minimum price movement for confirmation Prevents repeated signals in the same direction using trend memory ✅ Visuals That Guide You, Not Distract: Clear Buy/Sell signals labeled on the chart Dynamic support or resistance line always visible Price-tagged signal entries (Buy @, Sell @) ✅ Candlestick Awareness: Highlights key patterns: Engulfing, Doji, Hammer, Shooting Star Patterns are visual only — no interference with signal flow ✅ Trend Label: Clean top-right corner label updates periodically to guide sentiment ⚠️ Disclaimer: This tool is for educational purposes only. No financial advice is provided. Use at your own risk. Built by @AK_Trades to help scalpers trade smarter, not harder.
Pine Script® indicator
by adeelk714
1
Cumulative Volume Delta with Divergence🧠 Core Functionality: 1. Cumulative Volume Delta (CVD): Purpose: Visualizes the difference between buying and selling pressure over time. Mechanism: It uses lower-timeframe volume delta data, retrieved from ta.requestVolumeDelta(), to build a candle-style visualization of the net volume movement. Plotted candles show whether buying (up volume) or selling (down volume) was dominant within each period. Teal candles: More buying than selling (CVD up). Red candles: More selling than buying (CVD down). Volume Source: Based on intrabar up/down volume approximation from lower timeframes. 🧭 Divergence Detection (New Feature): 2. Regular Bullish Divergence: Condition: Price makes a lower low. CVD (lastVolume) makes a higher low. Interpretation: Selling pressure is weakening despite price making new lows — a potential reversal signal to the upside. Displayed As: Green line and label "Bull" under the CVD at the divergence point. 3. Regular Bearish Divergence: Condition: Price makes a higher high. CVD makes a lower high. Interpretation: Buying pressure is fading despite price rising — a potential reversal signal to the downside. Displayed As: Red line and label "Bear" above the CVD at the divergence point. 🧰 User Controls: Use custom timeframe: Overrides default volume delta resolution for finer or broader analysis. Calculate Divergence: Turns the divergence detection on or off. Adjustable via script inputs. 🔔 Alerts: Two alert conditions are included: One for bullish divergence. One for bearish divergence. Alerts trigger at the bar where the divergence is confirmed, not where it starts. 📈 Use Case: This tool is ideal for traders looking to: Spot early reversals or momentum shifts. Combine volume analysis with price action. Time entries or exits more accurately using volume-confirmed divergence.
Pine Script® indicator
by Faneesh17
Smart S/R ZonesThis is not your average S/R script. It combines proximity, bounce frequency, and volume clustering to automatically identify the most reliable support and resistance zones on your chart — no guesswork needed. How It Works: • Scans for recent highs/lows, SMA50 & SMA200, and pivot swing points • Ranks each potential level using a weighted scoring system: • Proximity to current price (50%) • Bounce Count (30%) — how many times price respected that level • Volume Score (20%) — how much volume traded around that level • The top support and resistance levels are plotted with: • Clear dashed lines • Color-filled zones • Simple percentage distance labels Why This Script Stands Out: • No settings to tweak — it just works • Helps you react faster with high-confidence levels • Adapts to any market: crypto, forex, stocks, indexes • Ideal for both intraday and swing trading setups Built-in Intelligence. Clean Visuals. Zero Noise.
Pine Script® indicator
by Broyeriko
4
UT Bot + Cooldown + Visual FVGSynopsis – UT Bot + Cooldown + Visual FVG This TradingView script combines: ✅ UT Bot Reversal Signals Based on ATR and volatility logic BUY when trend flips from bearish to bullish SELL when trend flips from bullish to bearish ✅ Cooldown Filter Limits signals to 1 per X bars (default 30) Prevents overtrading during choppy price action ✅ Optional FVG Markers (Fair Value Gaps) Visually shows bullish or bearish imbalances (3-bar gaps) Does not affect signal generation — only for confluence 🔍 Ideal for traders who want clean, time-filtered signals with visual price-action context. Suitable for futures, crypto, or forex on intraday charts.
Pine Script® indicator
by viharka
Velez Price Action Signals (with 20 & 200 SMA)Velez Price Action Signals – With 20 & 200 SMA Overlay This TradingView Pine Script is a clean and powerful reversal signal tool inspired by Oliver Velez’s price action philosophy, enhanced with trend context via two Simple Moving Averages. 🔍 Signal Logic Buy Signal: Current candle sweeps below the previous 5-bar low (liquidity grab). Candle is bullish (close > open). The lower wick is significantly larger than the body (e.g. ratio > 1.5). Sell Signal: Current candle sweeps above the previous 5-bar high. Candle is bearish (close < open). The upper wick is significantly larger than the body. Signals appear as BUY/SELL labels on the chart (non-repainting).
Pine Script® indicator
by viharka
MACD + PSAR AlertThis indicator combines MACD crossovers with Parabolic SAR flips to generate high-probability trade signals. A "BUY" alert triggers when the MACD line crosses above the signal line and the price crosses above the PSAR. A "SELL" alert triggers when the MACD crosses below and price breaks under the PSAR. Ideal for scalping or intraday trading on pairs like EUR/USD, GBP/USD, or USD/JPY on the 5-min or 15-min timeframe. Includes: Visual buy/sell markers Configurable TradingView alerts Use this to spot early momentum shifts backed by price action confirmation.
Pine Script® indicator
by igotitatjareds
Benner Cycles📜 Overview The Benner Cycles indicator is a visually intuitive overlay that maps out one of the most historically referenced market timing models—Samuel T. Benner’s Cycles—directly onto your chart. This tool highlights three distinct types of market years: Panic, Peak, and Buy years, based on the rhythmic patterns first published by Benner in the late 19th century. Benner's work is legendary among financial historians and cycle theorists. His original charts, dating back to the 1800s, remarkably anticipated economic booms, busts, and recoveries by following repeating year intervals. This modern adaptation brings that ancient rhythm into your TradingView workspace. 🔍 Background Samuel T. Benner (1832–1913) was an Ohioan ironworks businessman and farmer who, after losing everything in the Panic of 1873, sought to uncover the secrets of economic cycles. His work led to the famous Benner's Cycle Chart, which forecasts business activity using repeatable intervals of panic, prosperity, and opportunity. Benner’s method was based on a combination of numerological, agricultural, and empirical observations—not unlike early forms of technical and cyclical analysis. His legacy survives through a set of three rotating intervals for each market condition. George Tritch was the individual responsible for preserving and publishing Samuel T. Benner’s economic cycle charts after Benner's death. While Benner was the original creator of the Benner Cycle, Tritch is known for reproducing and circulating the Benner chart in the early 20th century, helping it gain broader recognition among traders, economists, and financial historians. 🛠️ Features Overlay Background Highlights shades the chart background to reflect the current year's cycle type Configurable Year Range defines your own historical scope using Start Year and End Year Fully Customizable Colors & Opacity Live Statistics Table (optional) displays next projected Panic, Peak, and Buy years as well as current year’s market phase Cycle Phase Logic (optional) prioritizes highlighting in order of Panic > Peak > Buy if overlaps occur 📈 Use Cases Macro Timing Tool – Use the cycle phases to align with broader economic rhythms (especially useful for long-term investors or cycle traders). Market Sentiment Guide – Panic years may coincide with recessions or major selloffs; Buy years may signal deep value or accumulation opportunities. Overlay for Historical Studies – Perfect for comparing past major market movements (e.g., 1837, 1929, 2008) with their corresponding cycle phase. See known limitations below. Forecasting Reference – Identify where we are in the repeating Benner rhythm and prepare for what's likely ahead. ⚠️ Limitations ❗ Not Predictive in Isolation: Use in conjunction with other tools. ❗ Calendar-Based Only: This indicator is strictly time-based and does not factor in price action, volume, or volatility. ❗ Historical Artifact, Not a Guarantee ❗ Data Availability: This indicator's historical output is constrained by the available price history of the underlying ticker. Therefore, it cannot display cycles prior to the earliest candle on the chart.
Pine Script® indicator
by BarefootJoey
1
Trend Table ZeeZeeMonMulti-Timeframe Trend Indicator Overview This indicator identifies trends across multiple higher timeframes and displays them in a widget on the right side of the chart. It serves as an alternative trend-filtering tool, helping traders align with the dominant market direction. Unlike traditional moving average-based trend detection (e.g., price above/below a 200 MA), this indicator assesses whether higher timeframes are genuinely trending by analyzing swing highs and lows. Trend Definition Uptrend: Higher highs and higher lows. Downtrend: Lower highs and lower lows. A trend reversal occurs when a prior high/low is breached (e.g., in a downtrend, breaking the last high signals an uptrend). Customization Options Lookback Period: Adjusts the sensitivity for identifying swing highs/lows (pivot points). A shorter lookback detects more frequent pivots. Historical Pivot Visibility: Toggle to display past swing highs/lows for verification. Support/Resistance Lines: Show dynamic levels from recent pivots on higher timeframes. Breaching these lines indicates potential trend changes. Purpose Helps traders: Confirm higher timeframe trends before entering trades. Monitor proximity to trend reversals. Fine-tune pivot sensitivity for optimal trend detection. Note: Works best as a supplementary trend filter alongside other trading strategies.
Pine Script® indicator
by lazy-graded-reflex