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Larsson Line Replica (Yellow = Bullish, Blue = Bearish)📘 Interpretation with Flipped Colors 🟨 Yellow Zones – Bullish Trend • Signals uptrend confirmation. • SMMA(15) > SMMA(29) indicates upward momentum. • Ideal for: • Holding or adding to long positions • Buying pullbacks within or near the band • Ignoring short setups on lower timeframes unless reversal signals show up 🟦 Blue Zones – Bearish Trend • SMMA(15) < SMMA(29) confirms a downtrend. • Useful for: • Risk-off posture: take profits, reduce exposure • Considering short trades • Waiting out until trend flips yellow again before longing 🩶 Gray Zones – Transition / Unclear • Represents possible trend change or indecision. • Appears around crossovers. • Great time to be cautious — wait for confirmation (either yellow or blue) • Often coincides with low-volatility consolidation zones or false breakouts 📊 Timeframe Interpretation Tips (with Updated Colors) 🕰️ Weekly – Macro Regime Filter • 🟨 Yellow = Swing longs allowed • 🟦 Blue = Risk-off, short setups more reliable • Use this timeframe as your macro bias anchor • Combine with higher timeframe market structure, moving averages, or on-chain trends ⸻ 📅 Daily – Tactical Entry & Position Management • Use the slope of the bands for early momentum detection • 🟦 Blue to Yellow flips = potential trend reversal to the upside → re-enter longs, cut shorts • 🟨 Yellow to Blue flips = trend weakness or downtrend return → consider profit-taking or short setups • Great timeframe for: • Refining entries • Managing exits • Spotting trend shifts before weekly confirms ⸻ ⏱ Lower Timeframes (4H, 1H) – Execution • Treat the band like a dynamic trend channel • Enter trades in direction of the current color: • 🟨 Yellow → Buy pullbacks to the midline • 🟦 Blue → Sell bounces into the midline • Avoid trading against the band unless clear structure or divergence forms • Pair with RSI/MACD for confluence
Indicatore Pine Script®
di paiuniversum
Mercury Venus Conjunction Sextiles 2019-2026How to Use It and What It Means Astrologically How to Use the Script in TradingView This Pine Script, called "Mercury Venus Aspects 2019–2026," is made to highlight the dates of Mercury-Venus conjunctions (0°) and sextiles (60°) from 2019 to 2026 on TradingView charts. Here's how to use it: click “Add to Chart.” It will apply to any chart you have open—stocks, forex, crypto, etc. Customize the Display You can turn on/off the visibility of conjunctions and sextiles using checkboxes under "Inputs" in the settings. You can also adjust the label size (small, normal, large, or huge) for better readability on your chart. What You’ll See on the Chart Conjunctions appear as blue shaded zones with labels like “C1,” “C2,” etc. These mark dates when Mercury and Venus are at the same degree. Sextiles show up in orange with labels like “S1,” “S2,” marking when they’re about 60° apart. Each event spans a 2-day window (one day before and after the exact aspect). How to Use It Practically You can overlay the script on market charts to look for any patterns between these planetary aspects and price movements. You can also use it to plan personal or financial activities, since these aspects often affect communication, money, and relationships. What to Keep in Mind Dates are approximate and based on average planetary cycles (Mercury: ~88 days, Venus: ~225 days). For exact timing, use an ephemeris. Only conjunctions and sextiles are shown. Oppositions, squares, and trines aren’t included because Mercury and Venus never get far enough apart (more than 75°). This script is great for astrologers, traders, and enthusiasts who want to see Mercury-Venus aspects directly on their charts and explore their possible effects. Astrological Meaning of Mercury-Venus Aspects What Mercury and Venus Represent Mercury rules communication, thinking, technology, travel, and trade. In global events (mundane astrology), it affects media, markets, and movement of information. Venus is about love, beauty, money, and pleasure. It influences relationships, aesthetics, and finance. In the world stage, it’s linked to luxury, art, fashion, and economic balance. When Mercury and Venus form aspects (like conjunctions or sextiles), their energies mix in helpful ways that can affect people and events. Conjunction (0°) – Mercury and Venus Together These two planets are in the same sign and degree, so their qualities merge. For people: Positive: Smooth communication, charm, creativity, and better relationships. Great for romance, art, and social interaction. Negative: Too much focus on appearances, sweet talk, or pleasure can cloud judgment. Decisions may lack depth. For the economy: Positive: Boosts in media, entertainment, fashion, and tech. Good for trade, deals, and optimism in financial markets. Negative: Risk of overspending or unrealistic expectations. May cause small market bubbles or misleading hype. Sextile (60°) – Mercury and Venus in Harmony These two planets are two signs apart, creating a smooth, supportive energy. For people: Positive: Easy conversations, creative teamwork, small financial wins, and pleasant social experiences. Negative: Energy is mild, so opportunities might be missed if not acted on. People may avoid hard decisions. For the economy: Positive: Gradual improvements in areas like marketing, social media, hospitality, and design. Good for diplomacy. Negative: Lack of strong initiative could limit bigger gains. Minor missteps are possible due to a laid-back attitude. General Effects These aspects are mostly beneficial. They support creativity, financial thinking, and social harmony. Downsides: Conjunctions may lead to overindulgence or shallow choices, while sextiles may cause missed chances due to low energy. These aspects rarely cause major economic shifts on their own but can amplify trends depending on other planetary influences (like Saturn or Uranus). Zodiac Sign Influence Fire signs (Aries, Leo, Sagittarius): Bold communication, energetic spending, gains in media or entertainment. Earth signs (Taurus, Virgo, Capricorn): Practical results, stable finances, growth in real-world assets like property or food. Air signs (Gemini, Libra, Aquarius): Intellectual growth, tech innovation, and social ideas flourish. Water signs (Cancer, Scorpio, Pisces): Emotional depth in conversations, artistic growth, and financial sensitivity. Mercury-Venus aspects are gentle but helpful. They combine logic (Mercury) with emotion and value (Venus). They’re good times for love, communication, and money—but their benefits depend on how we use the energy. This script lets you easily track these moments on a chart and explore how they might align with real-life trends or decisions. Disclaimer: This script and its interpretations are for informational and educational purposes only. They do not constitute financial, trading, or professional astrological advice. Always conduct your own research and consult qualified professionals before making any financial or personal decisions. Use at your own discretion.
Indicatore Pine Script®
di Dshergill
Sessions with Mausa session high/low tracker that draws flat, horizontal lines for Asia, London, and New York trading sessions. It updates those levels in real time during each session, locks them in once the session ends, and keeps them on the chart for context. At a glance, you always know: Where each session’s highs and lows were set Which session produced them (ASIA, LDN, NY labels float cleanly above the highs) When price is approaching or reacting to prior session levels 🔹 Use Cases: • Key Levels – See where Asia, London, or NY set boundaries, and watch how price respects or rejects them • Breakout Zones – Monitor when price breaks above/below session highs/lows • Session Structure – Know instantly if a move happened during London or NY without squinting at the clock • Backtesting – Keep historic session levels on the chart for reference — nothing gets deleted • Confluence – Align these levels with support/resistance, fibs, or liquidity zones Simple, visual, no distractions — just session structure at a glance.
Indicatore Pine Script®
di MausIncognito
analyzPian### Description of the Script: **AnalyzPian Indicator** The **AnalyzPian** indicator is a TradingView Pine Script designed to identify and visualize bullish and bearish price swings, breakouts, and retests on a chart. It uses pivot points (highs and lows) to detect significant price movements and overlays boxes and labels to highlight these areas for traders. Below is a detailed breakdown of its functionality and features: --- ### **Key Features** 1. **Dual Swing Detection**: - The script identifies both **bullish** and **bearish** swings using pivot points (`ta.pivothigh` and `ta.pivotlow`). - These swings are used to define potential breakout zones. 2. **Breakout and Retest Zones**: - Once a swing is detected, the script creates a box around the price level to represent the **potential breakout zone**. - If the price breaks out of the box, it transitions into a **retest phase**, where the script looks for retests of the breakout level. 3. **Customizable Display Options**: - Users can choose to display **Bullish**, **Bearish**, or both types of swings. - Additional options allow filtering for **last retest only** or showing **all retests** with labels. 4. **Dynamic Box Adjustments**: - Boxes dynamically adjust their width based on user-defined parameters (`maxBars`, `minBars`). - If the right side of the box exceeds the maximum allowed bars without a signal, the box is either deleted or reset to the last retest position. 5. **Labeling System**: - Labels are added to indicate **breakouts** (▲ or ▼) and **retests** (▽ or △). - Labels are styled differently for bullish and bearish signals and can be customized in terms of color and size. 6. **State Management**: - The script uses a state machine (`state`) to track the lifecycle of each swing: - **State 0**: Initial state, waiting for a swing detection. - **State 1**: Swing detected, breakout zone created. - **State 2**: Breakout confirmed, retest zone active. 7. **ATR-Based Width**: - The width of the boxes is calculated using the **Average True Range (ATR)**, ensuring that the zones adapt to market volatility. 8. **User Inputs**: - Extensive customization options are provided through input parameters: - **Display Options**: Choose between bullish, bearish, or both. - **Box Width**: Adjust the multiplier for ATR-based width. - **Maximum Bars**: Set the maximum number of bars without a signal before resetting. - **Minimum Bars**: Define the minimum distance between labels. - **Set Back Option**: Reset the box to the last retest position if the right side is too far. 9. **Visual Enhancements**: - Boxes and labels are styled with customizable colors and transparency for better visualization. - Labels use intuitive symbols (▲, ▼, ▽, △) to clearly indicate the type of signal. --- ### **How It Works** 1. **Swing Detection**: - The script uses `ta.pivothigh` and `ta.pivotlow` to identify significant highs and lows based on user-defined left and right lookback periods. - These pivots serve as the foundation for creating breakout and retest zones. 2. **Box Creation**: - When a swing is detected, a box is drawn around the price level to represent the breakout zone. - The box's height is determined by the ATR, and its width expands dynamically as new bars are added. 3. **Breakout Confirmation**: - If the price moves outside the box (breakout), the script transitions to the next state and creates a new box for the retest phase. - Labels are added to mark the breakout point. 4. **Retest Detection**: - During the retest phase, the script monitors whether the price revisits the breakout level. - If a retest occurs, a label is added to indicate the event. 5. **Reset Mechanism**: - If no signal is detected within the maximum allowed bars, the box is either deleted or reset to the last retest position. --- ### **Use Cases** 1. **Trend Identification**: - Traders can use the indicator to identify bullish and bearish trends by observing the direction of breakouts and retests. 2. **Entry and Exit Points**: - Breakout zones can serve as potential entry points, while retests provide confirmation for trades. 3. **Risk Management**: - The boxes help visualize key support and resistance levels, aiding in stop-loss placement and risk assessment. 4. **Market Analysis**: - The dynamic nature of the indicator makes it suitable for analyzing both trending and ranging markets. --- ### **Code Structure** 1. **Settings Section**: - Contains user-defined inputs for customizing the behavior and appearance of the indicator. 2. **UDT (User-Defined Type)**: - Defines a `bin` type to store information about each swing, including its state, price level, and associated labels. 3. **Methods**: - Includes helper functions for managing labels, checking conditions, and updating states. 4. **Execution Logic**: - Implements the core logic for detecting swings, managing states, and drawing boxes and labels. --- ### **Conclusion** The **AnalyzPian** indicator is a powerful tool for traders who want to visually analyze price swings, breakouts, and retests. Its flexibility, combined with its intuitive design, makes it suitable for a wide range of trading strategies. By leveraging pivot points and ATR-based zones, the script provides actionable insights into market dynamics while maintaining a clean and customizable interface.
Indicatore Pine Script®
di azadam8255
China 10-Year Yield Inverted with Time Lead (Months)The "China 10-Year Yield Inverted with Time Lead (Months)" indicator is a Pine Script tool for TradingView that displays the inverted China 10-Year Government Bond Yield (sourced from TVC:CN10Y) with a user-defined time lead or lag in months. The yield is inverted by multiplying it by -1, making a rising yield appear as a downward movement and vice versa, which helps visualize inverse correlations with other assets. Users can input the number of months to shift the yield forward (lead) or backward (lag), with the shift calculated based on the chart’s timeframe (e.g., 20 bars per month on daily charts). The indicator plots the shifted, inverted yield as a blue line in a separate pane, with a zero line for reference, enabling traders to analyze leading or lagging relationships with other financial data, such as the PBOC Balance Sheet or Bitcoin price.
Indicatore Pine Script®
di Crypto-KDuB
Liquidity Stress Index SOFR - IORBLiquidity Stress Index (SOFR - IORB) This indicator tracks the spread between the Secured Overnight Financing Rate (SOFR) and the Interest on Reserve Balances (IORB) set by the Federal Reserve. A persistently positive spread may indicate funding stress or liquidity shortages in the repo market, as it suggests overnight lending rates exceed the risk-free rate banks earn at the Fed. Useful for monitoring monetary policy transmission or market/liquidity stress.
Indicatore Pine Script®
di gstoyanov
Stochastic Order Flow Momentum [ScorsoneEnterprises]This indicator implements a stochastic model of order flow using the Ornstein-Uhlenbeck (OU) process, combined with a Kalman filter to smooth momentum signals. It is designed to capture the dynamic momentum of volume delta, representing the net buying or selling pressure per bar, and highlight potential shifts in market direction. The volume delta data is sourced from TradingView’s built-in functionality: www.tradingview.com For a deeper dive into stochastic processes like the Ornstein-Uhlenbeck model in financial contexts, see these research articles: arxiv.org and arxiv.org The SOFM tool aims to reveal the momentum and acceleration of order flow, modeled as a mean-reverting stochastic process. In markets, order flow often oscillates around a baseline, with bursts of buying or selling pressure that eventually fade—similar to how physical systems return to equilibrium. The OU process captures this behavior, while the Kalman filter refines the signal by filtering noise. Parameters theta (mean reversion rate), mu (mean level), and sigma (volatility) are estimated by minimizing a squared-error objective function using gradient descent, ensuring adaptability to real-time market conditions. How It Works The script combines a stochastic model with signal processing. Here’s a breakdown of the key components, including the OU equation and supporting functions. // Ornstein-Uhlenbeck model for volume delta ou_model(params, v_t, lkb) => theta = clamp(array.get(params, 0), 0.01, 1.0) mu = clamp(array.get(params, 1), -100.0, 100.0) sigma = clamp(array.get(params, 2), 0.01, 100.0) error = 0.0 v_pred = array.new(lkb, 0.0) array.set(v_pred, 0, array.get(v_t, 0)) for i = 1 to lkb - 1 v_prev = array.get(v_pred, i - 1) v_curr = array.get(v_t, i) // Discretized OU: v_t = v_{t-1} + theta * (mu - v_{t-1}) + sigma * noise v_next = v_prev + theta * (mu - v_prev) array.set(v_pred, i, v_next) v_curr_clean = na(v_curr) ? 0 : v_curr v_pred_clean = na(v_next) ? 0 : v_next error := error + math.pow(v_curr_clean - v_pred_clean, 2) error The ou_model function implements a discretized Ornstein-Uhlenbeck process: v_t = v_{t-1} + theta (mu - v_{t-1}) The model predicts volume delta (v_t) based on its previous value, adjusted by the mean-reverting term theta (mu - v_{t-1}), with sigma representing the volatility of random shocks (approximated in the Kalman filter). Parameters Explained The parameters theta, mu, and sigma represent distinct aspects of order flow dynamics: Theta: Definition: The mean reversion rate, controlling how quickly volume delta returns to its mean (mu). Constrained between 0.01 and 1.0 (e.g., clamp(array.get(params, 0), 0.01, 1.0)). Interpretation: A higher theta indicates faster reversion (short-lived momentum), while a lower theta suggests persistent trends. Initial value is 0.1 in init_params. In the Code: In ou_model, theta scales the pull toward \mu, influencing the predicted v_t. Mu: Definition: The long-term mean of volume delta, representing the equilibrium level of net buying/selling pressure. Constrained between -100.0 and 100.0 (e.g., clamp(array.get(params, 1), -100.0, 100.0)). Interpretation: A positive mu suggests a bullish bias, while a negative mu indicates bearish pressure. Initial value is 0.0 in init_params. In the Code: In ou_model, mu is the target level that v_t reverts to over time. Sigma: Definition: The volatility of volume delta, capturing the magnitude of random fluctuations. Constrained between 0.01 and 100.0 (e.g., clamp(array.get(params, 2), 0.01, 100.0)). Interpretation: A higher sigma reflects choppier, noisier order flow, while a lower sigma indicates smoother behavior. Initial value is 0.1 in init_params. In the Code: In the Kalman filter, sigma contributes to the error term, adjusting the smoothing process. Summary: theta: Speed of mean reversion (how fast momentum fades). mu: Baseline order flow level (bullish or bearish bias). sigma: Noise level (variability in order flow). Other Parts of the Script Clamp A utility function to constrain parameters, preventing extreme values that could destabilize the model. ObjectiveFunc Defines the objective function (sum of squared errors) to minimize during parameter optimization. It compares the OU model’s predicted volume delta to observed data, returning a float to be minimized. How It Works: Calls ou_model to generate predictions, computes the squared error for each timestep, and sums it. Used in optimization to assess parameter fit. FiniteDifferenceGradient Calculates the gradient of the objective function using finite differences. Think of it as finding the "slope" of the error surface for each parameter. It nudges each parameter (theta, mu, sigma) by a small amount (epsilon) and measures the change in error, returning an array of gradients. Minimize Performs gradient descent to optimize parameters. It iteratively adjusts theta, mu, and sigma by stepping down the "hill" of the error surface, using the gradients from FiniteDifferenceGradient. Stops when the gradient norm falls below a tolerance (0.001) or after 20 iterations. Kalman Filter Smooths the OU-modeled volume delta to extract momentum. It uses the optimized theta, mu, and sigma to predict the next state, then corrects it with observed data via the Kalman gain. The result is a cleaner momentum signal. Applied After initializing parameters (theta = 0.1, mu = 0.0, sigma = 0.1), the script optimizes them using volume delta data over the lookback period. The optimized parameters feed into the Kalman filter, producing a smoothed momentum array. The average momentum and its rate of change (acceleration) are calculated, though only momentum is plotted by default. A rising momentum suggests increasing buying or selling pressure, while a flattening or reversing momentum indicates fading activity. Acceleration (not plotted here) could highlight rapid shifts. Tool Examples The SOFM indicator provides a dynamic view of order flow momentum, useful for spotting directional shifts or consolidation. Low Time Frame Example: On a 5-minute chart of SEED_ALEXDRAYM_SHORTINTEREST2:NQ , a rising momentum above zero with a lookback of 5 might signal building buying pressure, while a drop below zero suggests selling dominance. Crossings of the zero line can mark transitions, though the focus is on trend strength rather than frequent crossovers. High Time Frame Example: On a daily chart of NYSE:VST , a sustained positive momentum could confirm a bullish trend, while a sharp decline might warn of exhaustion. The mean-reverting nature of the OU process helps filter out noise on longer scales. It doesn’t make the most sense to use this on a high timeframe with what our data is. Choppy Markets: When momentum oscillates near zero, it signals indecision or low conviction, helping traders avoid whipsaws. Larger deviations from zero suggest stronger directional moves to act on, this is on $STT. Inputs Lookback: Users can set the lookback period (default 5) to adjust the sensitivity of the OU model and Kalman filter. Shorter lookbacks react faster but may be noisier; longer lookbacks smooth more but lag slightly. The user can also specify the timeframe they want the volume delta from. There is a default way to lower and expand the time frame based on the one we are looking at, but users have the flexibility. No indicator is 100% accurate, and SOFM is no exception. It’s an estimation tool, blending stochastic modeling with signal processing to provide a leading view of order flow momentum. Use it alongside price action, support/resistance, and your own discretion for best results. I encourage comments and constructive criticism.
Indicatore Pine Script®
di ScorsoneEnterprises
Probability Grid [LuxAlgo]The Probability Grid tool allows traders to see the probability of where and when the next reversal would occur, it displays a 10x10 grid and/or dashboard with the probability of the next reversal occurring beyond each cell or within each cell. 🔶 USAGE By default, the tool displays deciles (percentiles from 0 to 90), users can enable, disable and modify each percentile, but two of them must always be enabled or the tool will display an error message alerting of it. The use of the tool is quite simple, as shown in the chart above, the further the price moves on the grid, the higher the probability of a reversal. In this case, the reversal took place on the cell with a probability of 9%, which means that there is a probability of 91% within the square defined by the last reversal and this cell. 🔹 Grid vs Dashboard The tool can display a grid starting from the last reversal and/or a dashboard at three predefined locations, as shown in the chart above. 🔶 DETAILS 🔹 Raw Data vs Normalized Data By default the tool displays the normalized data, this means that instead of using the raw data (price delta between reversals) it uses the returns between each reversal, this is useful to make an apples to apples comparison of all the data in the dataset. This can be seen in the left side of the chart above (BTCUSD Daily chart) where normalize data is disabled, the percentiles from 0 to 40 overlap and are indistinguishable from each other because the tool uses the raw price delta over the entire bitcoin history, with normalize data enabled as we can see in the right side of the chart we can have a fair comparison of the data over the entire history. 🔹 Probability Beyond or Within Each Cell Two different probability modes are available, the default mode is Probability Beyond Each Cell, the number displayed in each cell is the probability of the next reversal to be located in the area beyond the cell, for example, if the cell displays 20%, it means that in the area formed by the square starting from the last reversal and ending at the cell, there is an 80% probability and outside that square there is a 20% probability for the location of the next reversal. The second probability mode is the probability within each cell, this outlines the chance that the next reversal will be within the cell, as we can see on the right chart above, when using deciles as percentiles (default settings), each cell has the same 1% probability for the 10x10 grid. 🔶 SETTINGS Swing Length: The maximum length in bars used to identify a swing Maximum Reversals: Maximum number of reversals included in calculations Normalize Data: Use returns between swings instead of raw price Probability: Choose between two different probability modes: beyond and inside each cell Percentiles: Enable/disable each of the ten percentiles and select the percentile number and line style 🔹 Dashboard Show Dashboard: Enable or disable the dashboard Position: Choose dashboard location Size: Choose dashboard size 🔹 Style Show Grid: Enable or disable the grid Size: Choose grid text size Colors: Choose grid background colors Show Marks: Enable/disable reversal markers
Indicatore Pine Script®
di LuxAlgo
7
Trading Value (in Million) by Asharifan v3Trading Value (in Million) by Asharifan This indicator calculates and visualizes the trading value (price × volume) in millions for stocks, providing a clear view of market activity and money flow. It displays the current trading value alongside its 20-day and 50-day simple moving averages (SMAs), all rounded to whole numbers for easy interpretation. Designed for stock market analysis, it works best on daily and weekly timeframes, making it an excellent tool for swing trading and trend analysis. Key Features: Today P*V (M): Plots the daily trading value as columns, with teal bars for bullish days (close > open) and gray bars for bearish days (close < open). 20-day and 50-day Avg P*V (M): Tracks the short-term (20-day) and medium-term (50-day) average trading values in red and blue lines, respectively, to identify trends and shifts in market participation. 20M Threshold: Includes a dashed red line at 20 million, serving as a reference point for significant trading value levels. Last Bar Label: Shows the current trading value as a clean, integer label on the latest bar for quick reference. How to Use: Swing Trading: Identify potential entry and exit points by watching for crossovers or divergences between the 20-day and 50-day averages, especially when trading value spikes above the 20M threshold. Trend Analysis: Monitor the direction and slope of the 20-day and 50-day averages to confirm bullish or bearish trends in stock momentum and volume. Smart Money Footprints: High trading value spikes, especially when sustained above the 20M line, can signal institutional or "smart money" activity, helping traders track significant market moves. This indicator is particularly valuable for stock traders looking to gauge market strength, spot accumulation or distribution phases, and align their strategies with broader market trends. Best suited for daily and weekly charts, it’s a powerful addition to any swing trader’s or trend follower’s toolkit, offering clear insights into the footprints of smart money in the stock market.
Indicatore Pine Script®
di asharifan