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BTC Hash Rate & Price Stochastic IndiciatorFresh off the press, we have a new breed of indicators: Bitcoin's Hash Rate & Price. As many of you have read, roughly 80% of BTC's price movements can be correlated to its changes in hash rate volume. I decided to make a stochastic indicator that utilizes this principle to track divergence of the price from the hash rate. Let's break this down... In red is the CLOSE of BTC's Price, which is then smoothed by a SMA, and smoothed again by a WMA. In aqua is a STOCH of BTC's Hash Rate, which is then smoothed by a SMA, and smoothed again by a WMA. The reason why I chose to use the CLOSE of the Price versus a STOCH as I did with the Hash Rate, is because the price tends to signal trends via divergence from the Hash Rate, and eventually converge with the Hash Rate at some point. You will notice that anytime there is a significant divergence of the RED from the AQUA, a trend is closely aligned with it. This indicator does a remarkable job of indicating the beginnings and ends of both bullish and bearish price movements. Example Strategy: Enter long when RED (price) crosses over AQUA (hash rate), and close long when RED crosses under AQUA. The inverse can be done for shorts, just RED diverges downwards from AQUA versus upwards. Note: Unlike a normal Stochastic Indicator, the upper and lower bounds do not appear to hold any significance. In other words, the lines do not seem to reverse at 20/80. As a result, I just set them to 0/100 for aesthetics. DO NOT make trades based off of small divergences, or simply enter into positions based off the price divergences. Though this indicator times the start/end of movements very accurately, it also comes riddled with false breakouts . Proceed at your own pace, and please, toy around with the inputs values. I experimented with a few combinations, but I'm sure there are better value combinations that yield sharper results with fewer false signals. EASTER EGG: Notice the "Golden Line"? Any avid user of TV knows that Fibonacci ratios show up everywhere in markets. With that said, I plotted a horizontal line at 0.618, which is 1/Phi, an important level in Fibonacci retracements. Final Comments: First, this is not investment, merely my experimentation and observation of happenings in the analytical world. Second, please comment questions, improvements, etc. Dialogue opens up room for exploration!
Wskaźnik Pine Script®
od Riester
3
Iconik Trading Suite: Auto Support/Resistance - WeeklyAutogeneration of support and resistance lines. Posts a horizontal line of the open/close for the past 40 weekly candles. DM for a PowerPoint describing this indicator and the rest of Iconik in detail. Iconik Trading Suite Indicator List: ITS-OSC: Oscillators (v2) ITS-PAA: Price Action Alerts (v2) ITS-ASR: Auto Support/Resistance -> Daily (v2) -> 3 Day (v2) -> Weekly (v2) ITS-4TFC: 4 Time Frame Confirmation (v1) ITS-DIV: Divergence Seeker (v1)
Wskaźnik Pine Script®
od Royal_Naut
Iconik Trading Suite: Auto Support/Resistance - 3 DayAutogeneration of support and resistance lines. Posts a horizontal line of the open/close for the past 40 3 Day candles. DM for a PowerPoint describing this indicator and the rest of Iconik in detail. Iconik Trading Suite Indicator List: ITS-OSC: Oscillators (v2) ITS-PAA: Price Action Alerts (v2) ITS-ASR: Auto Support/Resistance -> Daily (v2) -> 3 Day (v2) -> Weekly (v2) ITS-4TFC: 4 Time Frame Confirmation (v1) ITS-DIV: Divergence Seeker (v1)
Wskaźnik Pine Script®
od Royal_Naut
Iconik Trading Suite: Auto Support/Resistance - DailyAutogeneration of support and resistance lines. Posts a horizontal line of the open/close for the past 40 daily candles. DM for a PowerPoint describing this indicator and the rest of Iconik in detail. Iconik Trading Suite Indicator List: ITS-OSC: Oscillators (v2) ITS-PAA: Price Action Alerts (v2) ITS-ASR: Auto Support/Resistance -> Daily (v2) -> 3 Day (v2) -> Weekly (v2) ITS-4TFC: 4 Time Frame Confirmation (v1) ITS-DIV: Divergence Seeker (v1)
Wskaźnik Pine Script®
od Royal_Naut
1
MS MONEY CCI SQUEEZEAbout I have used this indicator to find many lucrative opportunities. This indicator takes the moving average of CCI in custom, volatility-specific conditions. CCI measures "overbought" in the red-shaded region and "Oversold" in the green-shaded region. The shaded regions do not constitute a buy/sell signal alone, the MS CCI Squeeze is best used when market conditions agree and is best used when the user has fundamental reasoning for "reversal-like" situations to align. The MS CCI Squeeze will soon have a synergistic partner called "MS RSI Squeeze" indicator that will look similar to help better measure volatility and strength trend. About the Commodity Channel Index (CCI) The commodity channel index (CCI) is an oscillator originally introduced by Donald Lambert in 1980. Since its introduction, the indicator has grown in popularity and is now a very common tool for traders in identifying cyclical trends not only in commodities, but also equities (stocks) and currency trading. How to set an Alert If the user wants to set an alert , click on one of the support/ resistance lines (black-dashed) near the zero mark. Clicking on the horizontal line above or below the zero line will populate a yellow arrow which will allow you to set alerts when wanted. Please Read For Better Efficiency When using this indicator, keep an eye out for harmonic patterns, both bullish and bearish head and shoulders patterns for "HIDDEN" breakout opportunities. Please like, follow and share and I will continue building better indicators.
Wskaźnik Pine Script®
od follow_the_money
6
Key Levels [@treypeng]Draws horizontal lines for Daily, Hourly (1) and Weekly levels. Really handy to switch on quickly when scalping. Light blue: Previous hour OHLC Thick light blue: Previous hour Close / current hour Open Dark blue: Yesterday OHLC Thick dark blue: Yesterday Close / today Open Purple: Weekly Open It's a bit ugly, I'd prefer horizontal rays instead of lines stretching back across the chart but I couldn't figure out how to do this in PineScript. If I get it sorted, I'll publish an update.
Wskaźnik Pine Script®
od trespeng
2
Relative Price Difference [LAVA]EDIT: Look below for updates to the script. EDIT: After several updates to this script, I think it's safe to say it will work with all timelines. Using hand drawn trendlines, it can predict tops and bottoms with pretty good accuracy. Shows a change in the relative price difference via percentage on a 0 horizontal. Added a bollinger band to help identify weak areas (orange). If orange starts showing, the current price direction is strong but can reverse harshly. If you are in a weak position, exit here. Otherwise, don't enter a trade after/during orange sessions until a full cycle (up/dn > 1% without orange) has completed. The main line indicator fluctuates according to the price difference. 1% horizontal lines are added to help identify profit taking spots or OTE zones. Ensure the 1% line is crossed completely before you decide to enter/exit. Cross points are identified with crosses if you missed your window, this is the last spot to exit, enter. This indicator doesn't work that well with small time intervals. As always, use more than one indicator to ensure your decision is right. (The colors are ugly so change them if you wish! :)
Wskaźnik Pine Script®
od Ni6HTH4wK
11
Point of Control (POC)**Point of Control (POC) Indicator** This indicator identifies the price level where the most trading volume occurred over a specified lookback period (default: 365 days). The POC represents a significant support/resistance level where the market found the most acceptance. **Key Features:** - **POC Line**: Bright green horizontal line showing the highest volume price level - **Volume Profile Analysis**: Divides price range into rows and calculates volume distribution - **Value Area (Optional)**: Shows VAH and VAL levels containing 70% of total volume - **Customizable**: Adjust lookback period, price resolution, colors, and line width **How to Use:** - POC acts as a magnet - price often returns to test these high-volume levels - Strong support/resistance zone where significant trading activity occurred - Useful for identifying key price levels for entries, exits, and stops - Higher lookback periods (365 days) show longer-term significant levels **Settings:** - Lookback Period: Number of bars to analyze (default: 365) - Price Rows: Calculation resolution - higher = more precise (default: 24) - Toggle Value Area High/Low for additional context ---
Wskaźnik Pine Script®
od Chrome_MrNA
Swing LevelsThe Swing Levels indicator automatically detects and plots recent swing highs and lows on the chart, turning them into dynamic support and resistance levels. Each new swing point creates a horizontal line that extends forward in time until price “fills” (touches or breaks) that level. Once a level is filled, it can either disappear or remain visible — depending on your settings. You can enable alerts to be notified whenever price fills a swing high (breaks resistance) or a swing low (breaks support). A lookback filter allows limiting how far back in history swing levels are drawn, helping keep the chart clean and efficient. Main benefits: • Automatically tracks key market structure turning points • Helps visualize support and resistance zones in real time • Optional alerts for breakout confirmations • Fully customizable colors, line styles, and management behavior • Works on any timeframe or market In short: Swing Levels gives you a clear and automated view of where price has recently reversed — powerful zones where liquidity and reactions often occur again. Сreated with vibecoding using ChatGPT and Claude.
Wskaźnik Pine Script®
od gurins
Standardization (Z-score)Standardization, often referred to as Z-score normalization, is a data preprocessing technique that rescales data to have a mean of 0 and a standard deviation of 1. The resulting values, known as Z-scores, indicate how many standard deviations an individual data point is from the mean of the dataset (or a rolling sample of it). This indicator calculates and plots the Z-score for a given input series over a specified lookback period. It is a fundamental tool for statistical analysis, outlier detection, and preparing data for certain machine learning algorithms. ## Core Concepts * **Standardization:** The process of transforming data to fit a standard normal distribution (or more generally, to have a mean of 0 and standard deviation of 1). * **Z-score (Standard Score):** A dimensionless quantity that represents the number of standard deviations by which a data point deviates from the mean of its sample. The formula for a Z-score is: `Z = (x - μ) / σ` Where: * `x` is the individual data point (e.g., current value of the source series). * `μ` (mu) is the mean of the sample (calculated over the lookback period). * `σ` (sigma) is the standard deviation of the sample (calculated over the lookback period). * **Mean (μ):** The average value of the data points in the sample. * **Standard Deviation (σ):** A measure of the amount of variation or dispersion of a set of values. A low standard deviation indicates that the values tend to be close to the mean, while a high standard deviation indicates that the values are spread out over a wider range. ## Common Settings and Parameters | Parameter | Type | Default | Function | When to Adjust | | :-------------- | :----------- | :------ | :------------------------------------------------------------------------------------------------------ | :-------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Source | series float | close | The input data series (e.g., price, volume, indicator values). | Choose the series you want to standardize. | | Lookback Period | int | 20 | The number of bars (sample size) used for calculating the mean (μ) and standard deviation (σ). Min 2. | A larger period provides more stable estimates of μ and σ but will be less responsive to recent changes. A shorter period is more reactive. `minval` is 2 because `ta.stdev` requires it. | **Pro Tip:** Z-scores are excellent for identifying anomalies or extreme values. For instance, applying Standardization to trading volume can help quickly spot days with unusually high or low activity relative to the recent norm (e.g., Z-score > 2 or < -2). ## Calculation and Mathematical Foundation The Z-score is calculated for each bar as follows, using a rolling window defined by the `Lookback Period`: 1. **Calculate Mean (μ):** The simple moving average (`ta.sma`) of the `Source` data over the specified `Lookback Period` is calculated. This serves as the sample mean `μ`. `μ = ta.sma(Source, Lookback Period)` 2. **Calculate Standard Deviation (σ):** The standard deviation (`ta.stdev`) of the `Source` data over the same `Lookback Period` is calculated. This serves as the sample standard deviation `σ`. `σ = ta.stdev(Source, Lookback Period)` 3. **Calculate Z-score:** * If `σ > 0`: The Z-score is calculated using the formula: `Z = (Current Source Value - μ) / σ` * If `σ = 0`: This implies all values in the lookback window are identical (and equal to the mean). In this case, the Z-score is defined as 0, as the current source value is also equal to the mean. * If `σ` is `na` (e.g., insufficient data in the lookback period), the Z-score is `na`. > 🔍 **Technical Note:** > * The `Lookback Period` must be at least 2 for `ta.stdev` to compute a valid standard deviation. > * The Z-score calculation uses the sample mean and sample standard deviation from the rolling lookback window. ## Interpreting the Z-score * **Magnitude and Sign:** * A Z-score of **0** means the data point is identical to the sample mean. * A **positive Z-score** indicates the data point is above the sample mean. For example, Z = 1 means the point is 1 standard deviation above the mean. * A **negative Z-score** indicates the data point is below the sample mean. For example, Z = -1 means the point is 1 standard deviation below the mean. * **Typical Range:** For data that is approximately normally distributed (bell-shaped curve): * About 68% of Z-scores fall between -1 and +1. * About 95% of Z-scores fall between -2 and +2. * About 99.7% of Z-scores fall between -3 and +3. * **Outlier Detection:** Z-scores significantly outside the -2 to +2 range, and especially outside -3 to +3, are often considered outliers or extreme values relative to the recent historical data in the lookback window. * **Volatility Indication:** When applied to price, large absolute Z-scores can indicate moments of high volatility or significant deviation from the recent price trend. The indicator plots horizontal lines at ±1, ±2, and ±3 standard deviations to help visualize these common thresholds. ## Common Applications 1. **Outlier Detection:** Identifying data points that are unusual or extreme compared to the rest of the sample. This is a primary use in financial markets for spotting abnormal price moves, volume spikes, etc. 2. **Comparative Analysis:** Allows for comparison of scores from different distributions that might have different means and standard deviations. For example, comparing the Z-score of returns for two different assets. 3. **Feature Scaling in Machine Learning:** Standardizing features to have a mean of 0 and standard deviation of 1 is a common preprocessing step for many machine learning algorithms (e.g., SVMs, logistic regression, neural networks) to improve performance and convergence. 4. **Creating Normalized Oscillators:** The Z-score itself can be used as a bounded (though not strictly between -1 and +1) oscillator, indicating how far the current price has deviated from its moving average in terms of standard deviations. 5. **Statistical Process Control:** Used in quality control charts to monitor if a process is within expected statistical limits. ## Limitations and Considerations * **Assumption of Normality for Probabilistic Interpretation:** While Z-scores can always be calculated, the probabilistic interpretations (e.g., "68% of data within ±1σ") strictly apply to normally distributed data. Financial data is often not perfectly normal (e.g., it can have fat tails). * **Sensitivity of Mean and Standard Deviation to Outliers:** The sample mean (μ) and standard deviation (σ) used in the Z-score calculation can themselves be influenced by extreme outliers within the lookback period. This can sometimes mask or exaggerate the Z-score of other points. * **Choice of Lookback Period:** The Z-score is highly dependent on the `Lookback Period`. A short period makes it very sensitive to recent fluctuations, while a long period makes it smoother and less responsive. The appropriate period depends on the analytical goal. * **Stationarity:** For time series data, Z-scores are calculated based on a rolling window. This implicitly assumes some level of local stationarity (i.e., the mean and standard deviation are relatively stable within the window).
Wskaźnik Pine Script®
od mihakralj
FU Candle Detector (Smart Money Concept) En Anglais🧠 Overall concept: “FU Candle” in Smart Money logic In the context of Smart Money Concepts (SMC) or ICT (Inner Circle Trader), an FU Candle (also known as a “Fakeout Candle” or “Manipulation Candle”) is a candle that: Creates an imbalance or a break (often above a swing high or below a swing low), Attracts liquidity by trapping retail traders (liquidity grab), Then abruptly reverses direction, revealing the hand of “Smart Money” (large institutions). It therefore often marks: The point of manipulation before an impulsive movement (reversal), An area of interest for entering in the institutional direction (after the liquidity grab). --- ⚙️ How the “FU Candle Detector” script works The script identifies these candlesticks by observing several typical criteria: 1. Detection of the manipulative candle (FU Candle) Search for a candlestick that breaks a previous swing (significant high or low), But closes in the opposite direction, often below/above the broken zone, Thus indicating a fakeout. Examples: Bullish FU Candle: breaks a previous low, but closes bullish. Bearish FU Candle: breaks a previous high, but closes bearish. --- 2. Visualization on the chart The script generally displays: 🔴 Red markers for bearish FUs (Fake Breakout upwards), 🟢 Green markers for bullish FUs (Fake Breakout downwards), 🟦 Rectangles of areas of interest (often around the FU Candle Open), 📏 Horizontal lines on areas of imbalance (OB/FVG if integrated). --- 3. Possible additions depending on the version Depending on the version you have received, the script can also: Detect Fair Value Gaps (FVG) around FU Candles, Mark Order Blocks (OB) associated with manipulation, Add alerts when new FU Candles are detected, Calculate the distance between the manipulation point and the price return, Filter according to candle size, volume, or market structure (MSB/CHoCH). --- 🎯 Practical use FU Candles are often used: As confirmation of an imminent reversal, To identify institutional entry zones (hidden Order Block), To anticipate the direction of the next impulse after the liquidity hunt. Typical entry example: > Wait for the formation of an FU Candle + price return within the candle body = entry in the opposite direction to the false breakout. 📈 Recommended combinations This detector is often combined with: Structure Break Indicator (CHoCH / BOS) Liquidity Pool Zones Fair Value Gap Finder Order Block Detector This gives you a complete Smart Money Concept system, capable of mapping: 1. Where liquidity has been taken, 2. Where the price is rebalancing, 3. Where Smart Money is repositioning its orders.
Wskaźnik Pine Script®
od rogernina
2
First X Days Of A YearFirst X-Day Indicator Overview The "First X-Day Indicator" is a powerful tool to visualize and analyze market sentiment during the crucial first trading days of each new year. It provides immediate visual feedback on whether the year is starting with positive or negative momentum compared to the previous year's close, a concept often related to market theories like the "January Effect" or the "First Five Days Rule." The indicator is designed to be clean, intuitive, and fully customizable to fit your charting style. Key Features Yearly Baseline: Automatically draws a horizontal line at the previous year's closing price. This line serves as a clear 0% reference for the current year's performance. Dynamic Background Coloring: For a user-defined number of days at the start of the year, the chart background is colored daily. Green indicates the close is above the previous year's close, while red indicates it's below. Final Performance Symbol: At the end of the analysis period (e.g., on the 5th day), a single summary symbol (like 👍 or 👎) appears. This symbol represents the final performance outcome of the initial trading period. Settings & Customization You have full control over all visual elements: Analysis Period: Define exactly how many days at the start of the year you want to analyze (e.g., 3, 5, or 10 days). Line Customization: Fully control the yearly baseline's appearance. You can change its color, width, and style (Solid, Dashed, or Dotted) or hide it completely. Symbol Customization: Choose any character or emoji for the positive and negative performance symbols. You can also adjust their size (Small, Normal, Large) or hide them. Background Control: Enable or disable the daily background coloring and select your preferred custom colors for positive and negative days.
Wskaźnik Pine Script®
od michid2
1