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CyberFlow [Probabilities] | FractalystWhat's the indicator's purpose and functionality? CyberFlow quantifies, per chosen higher-timeframe “Period 1/2/3”, what happens after price first taps the midpoint (Mid) of the previous period’s range. Specifically, it estimates P(High first | Mid tap) versus P(Low first | Mid tap): which side (previous High “PH” or previous Low “PL”) is typically reached first after that mid activation. It extends a previously shared OrderFlow concept that used market structure; here it conditions on higher‑timeframe previous‑period PH/PL with the Mid as the explicit trigger. Note: It's specifically designed to exports raw probabilistic series for algorithmic/system developers to integrate a probabilistic layer into strategies and to build/backtest ideas directly from those series. What is “Mid activation”? The Mid is the average of the previous period’s PH and PL. Activation occurs on the first bar in the current period whose high–low range includes the Mid. The first bar of a new period cannot activate Mid; activation can only start from the second bar of the period onward. What counts as “first hit” after activation? After a Mid activation, the script waits for a subsequent bar that touches either the previous High (PH) or previous Low (PL). The first side touched after the activation bar is recorded as that period’s first hit. Once decided, the other side is ignored for first‑hit statistics. Which periods does it use? You can select three custom reference timeframes (Period 1/2/3) in the UI (defaults: D/W/M). All logic—PH/PL/Mid, activation, first‑hit stats—runs independently per selected period. Do the display controls change the calculation? No. The “Show” selector only controls visuals: Period 1/2/3: show only that period’s plots/barcolors. OFF: shows all periods. Statistics and exported series are unaffected by this selector. What do the bar/line colors mean? Activation (first Mid tap): yellow bar. Delivered to previous High after activation: blue Delivered to previous Low after activation: red Plots stop showing PH/PL once delivery happens (for that side) within the period. What do the status symbols in the table mean? ■ Inactive — Mid not tapped this period. ▶ Activated — Mid tapped; awaiting delivery to PH or PL. ● Delivered — PH or PL was hit first after the Mid tap. How are probabilities computed? For each period, the script counts samples where the Mid was tapped and one side was hit first. It reports: P(High first | Mid tap) and P(Low first | Mid tap). Two‑sided p‑value vs 50% (H0: p = 0.5). These appear in the stats table with detailed tooltips. What is “Bias” in exports? Bias is a ternary signal derived from P(High first | Mid tap): Bias = 1 if > 0.5 Bias = -1 if < 0.5 Bias = 0 if exactly 0.5 or no sample Source can be per period or “Merged” (simple average of available period probabilities). Note: the UI uses a simple average; no weighted option is exposed. What is “Entry” in exports? Entry = 1 on bars where the selected period’s Mid activates (first tap), else 0. “Merged” emits 1 if any of the three periods activates on the bar. What is “Exit” in exports? Exit is the previous period’s Mid price (PH/PL average) for the selected period. “Merged” is the average of the three previous‑period Mid prices. How do I integrate this into strategies? How to use the indicator? CyberFlow is designed for algorithmic/system developers to add a probabilistic layer for entries and market‑regime detection. What CyberFlow exports - Bias (−1, 0, 1): from P(High first | Mid tap) vs 50% per your chosen source (Period 1/2/3 or Merged simple average). - Entry (0/1): 1 only on the bar where the selected period’s Mid first activates (the “mid tap” bar). - Exit (price): the previous period’s Mid price (average of previous High/Low) for the selected source. - These appear in the Data Window as series named Bias, Entry, and Exit. Connecting from your strategy (input.source) - Add inputs in your strategy so users can select CyberFlow’s outputs: - Bias source input: pick the indicator’s Bias. - Entry source input: pick the indicator’s Entry. - Exit source input: pick the indicator’s Exit. In TradingView’s UI, users link these inputs to CyberFlow’s plots via the source picker. Does this use request.security? No. CyberFlow reconstructs your selected higher timeframes (Period 1/2/3) directly on the chart without request.security(). It detects new period boundaries via timeframe.change(tf), rolls the last period’s extremes into Previous High/Low (PH/PL), computes their Mid, then waits for a “Mid activation” (a bar after the first bar of the period whose range crosses the Mid). From activation onward, it records which side (PH or PL) is reached first to build conditional probabilities per period. Because levels and events are derived locally from the live bar stream, there are no cross-timeframe fetch artifacts or repaint nuances from request.security(). The exported series (Bias −1/0/1, Entry 0/1, Exit price) are produced natively and can be wired into strategies via TradingView’s input.source() for robust, low-latency integration. What markets and assets does the indicator Extension work best on? CyberFlow is market- and timeframe‑agnostic: it computes conditional probabilities (which side of the prior range is reached first after a mid tap) directly from price, so it can be applied to crypto, FX, indices, equities, futures, and commodities across intraday to higher timeframes. In practice, robustness depends on liquidity and sample size: higher timeframes usually yield more stable estimates (fewer activations, lower noise), while lower timeframes give more activations but can be noisier (spreads/fees matter more). Because the study itself provides probabilities—not PnL—assess profitability in your context by integrating the exported series (Bias −1/0/1, Entry 0/1, Exit price) into your strategy via TradingView’s input.source(), then backtest with your fills, costs, and risk model to measure performance efficiency on your specific markets and settings. What makes this script unique? Custom higher-timeframes (beyond D/W/M) You can pick any three reference periods (Period 1/2/3), not just Daily/Weekly/Monthly. The script rebuilds these periods directly on the chart and analyzes each independently. True conditional probability (why it matters) It measures P(High first | Mid tap) vs P(Low first | Mid tap) — i.e., “after the previous period’s midpoint is first tapped, which side is typically reached first?” Conditioning on the mid‑tap event isolates the path that follows a specific trigger. Unconditioned counts (e.g., “how often PH/PL is hit”) mix pre‑ and post‑activation behavior and can be misleading. This conditional framing turns vague hit‑rates into decision‑grade odds tied to a clear setup. Statistical confidence in‑context (p‑value in tooltips) Tooltips show a Wilson 95% confidence interval and a two‑sided p‑value versus 50/50. This helps you judge whether an observed edge is likely signal or noise at your chosen periods. Exports built for algorithmic integration Three clean outputs in the Data Window for strategies: Bias (−1/0/1) from the conditional probability versus 50%. Entry (0/1) on the activation bar (first mid tap). Exit (price) as the previous period’s Mid. Hook these into your backtests via TradingView’s input.source(), then evaluate profitability with your own fills, costs, and risk model. This turns the probabilities into measurable performance you can optimize. Disclaimer This tool provides statistical estimates only and is not financial advice. Historical probabilities are not guarantees of future results. Always backtest with your own costs, fills, and risk model before using in live trading.
Indicador Pine Script®
por Fractalyst
Altcoin Market Share vs ETH/BTCIdea from x.com on X Each colored line represents the percentage share of different altcoin baskets (excluding stablecoins) or ETH relative to either the ETH or BTC market cap (can add more, e.g. SOL or create different dashboards with Memes, AI, DeFi, you name it) I know: At first glance, this may seem noisy and complex, but it all depends on the questions you want to answer. Once you define those, much of the noise becomes irrelevant, allowing you to simplify the analysis and focus only on what matters to you. What I’ve done here is provide a few initial insights that I found useful (will isolate a couple of them in future). This analysis doesn’t tell you which specific coins to buy, but rather provides a broad market overview as a foundation. It helps guide you toward areas of relative strength or weakness. I’ve included a lot of information here, but the key is to extract the signal from the noise by asking the right questions, for example: At what point do altcoins become overvalued or undervalued against Ethereum? However, when asking these questions, it's important to remember that an overvaluation or undervaluation of Ethereum relative to altcoins tells you little about its valuation against Bitcoin or USD. These are separate questions further down the process.
Indicador Pine Script®
por privatekapperaza
Sessions & Key LevelsAn indicator made to show: - Session Open & Close Breaks - Session Ranges/Outline (Lower transparency % in settings to show) Session times are editable in settings. - Session High's & Low's - H1 High's & Low's These are aligned with the Session Open & Close times. (Takes the H/L between the input times) Lines will fade once price touches & will be deleted once the current session ends. User can edit H1 pivot strength in settings. - Session Activity Dashboard Used to show which sessions are currently active. (Toggled off by default)
Indicador Pine Script®
por tkytrades
christophrobert MMA'sThe market moves in waves of momentum and trends, often leaving traders guessing where the true peaks and bottoms lie. The Multiple Moving Average Indicator is designed to cut through that noise. By layering multiple moving averages into a ribbon indicator, this tool makes it easy to spot shifts in momentum, highlight potential market tops and bottoms, and visualize the strength of a trend at a glance. Whether you’re looking for the best times to buy, sell, or simply confirm the strength of a move, this indicator provides a clear framework to guide your decisions.
Indicador Pine Script®
por AlgoNavigator
Radial Basis Kernel RSI [Custom]What is the Radial Basis Kernel RSI? This indicator is a sophisticated and adaptive version of the classic Relative Strength Index (RSI). Unlike a standard RSI, which uses a simple moving average to calculate momentum, this indicator employs a powerful statistical method called a Radial Basis Function (RBF) kernel. This kernel makes the indicator's momentum line more dynamic and responsive to changing market conditions. It works by giving more weight to recent price changes that are similar to the current price action, resulting in a more intelligent and adaptive signal. The final line you see is a Double Exponential Moving Average (DEMA) of the RBF Kernel RSI, which provides extra smoothing to filter out noise and reduce false signals. How to Interpret and Use the Indicator The core purpose of this indicator is to identify potential shifts in momentum and spot overbought or oversold conditions that could precede a reversal. Buy Signal: Look for the indicator line to cross above the oversold level (default 20), which may also be marked by a green up-arrow. This suggests that the downward momentum is fading and a potential upward reversal or bounce is about to occur. Sell Signal: Look for the indicator line to cross below the overbought level (default 80), which may also be marked by a red down-arrow. This indicates that the upward momentum is overextended and a potential reversal or pullback could be coming. How Adjustments Impact the Indicator's Visual Output Think of the settings as controls that fine-tune the indicator's behavior. By adjusting them, you can make the indicator more or less sensitive to price changes. 1. RSI Kernel Length This setting controls the time frame the indicator looks at. Decrease the length: The line becomes more sensitive and "nervous." It will have more frequent, sharper swings and will enter the Overbought and Oversold zones more often. This provides more signals but can also lead to more false readings. Increase the length: The line becomes smoother and less reactive. It will take longer to change direction and will enter the extreme zones less frequently. This provides fewer signals, but they are generally considered more reliable and are better suited for identifying longer-term trends. 2. Gamma Adjustment Factor This is the unique "focus" control of the RBF kernel. Decrease the gamma factor: The line becomes smoother and more dampened. The kernel's influence is spread out, making it less reactive to sudden but minor price changes. Increase the gamma factor: The line becomes more focused and "spiky." The kernel gives a lot more weight to the most recent, similar-looking price action, which can make the line react very quickly. This can be useful for spotting quick changes but may also introduce more noise. 3. Overbought/Oversold Levels These are the trigger lines for your signals. Increase the Overbought level (e.g., from 80 to 90) or decrease the Oversold level (e.g., from 20 to 10): The indicator line will have to make a more extreme move to trigger a signal. You will get fewer signals, but the ones you do get will represent more significant and powerful moves. Decrease the Overbought level or increase the Oversold level: The line will trigger signals more easily and frequently. This can be useful in ranging markets but may lead to more false signals in strong, trending markets. 4. Moving Average Period (for DEMA) This setting controls the final smoothing of the line. Decrease the period: The final line will be more reactive and look "choppier." It will follow the underlying RBF RSI more closely, providing signals with less lag. Increase the period: The final line will be significantly smoother. It will be much slower to react to price changes, which reduces noise but can also delay your entry or exit signals.
Indicador Pine Script®
por Cmo22
Adaptive Square Levels - for all InstrumentsDescription: The Adaptive Square Levels indicator generates mathematically derived horizontal trendlines based on perfect squares (1², 2², 3², …) anchored to the first trading day’s open of each month. ✨ Key Features 📐 Adaptive Anchoring: Locks onto the nearest square number to the monthly open. 🔁 Dual Context: Displays both current month and previous month levels for comparison. ➕➖ Expansion: Automatically plots ±10 square levels around the anchor. 🟧 Highlighting: Multiples of 3² (9, 36, 81, …) are marked in orange for quick recognition. ⭐ Focus Line: The nearest square is bold and labeled with a ★. 🏷️ Readable Labels: Large fonts ensure values are clearly visible, even on high-value instruments. 📊 Finite Trendlines: Levels extend only within the month, not as infinite rays. ⚙️ Configurable: Adjustable max price coverage up to 250,000 (default) to suit stocks, indices, futures, or commodities. ⚙️ How It Works At the start of a new month, the script locks the opening price of the first bar. It finds the nearest perfect square to that open. It then plots 10 square levels above and below the anchor. Current month levels extend to today’s bar; previous month levels stop at month end. The nearest square line is emphasized with a bold ★ label. 🎯 How to Use Support & Resistance: Use square levels as natural price magnets or turning points. Monthly Structure: Compare previous vs. current month grids for context. Confluence Tool: Combine with price action, Fibonacci retracements, or market profile. Focus Points: Pay special attention to the ★ bold nearest-square — it often becomes the key pivot for the month. 📚 Study Note: Why Square Numbers? Square numbers (1, 4, 9, 16, 25, …) create a nonlinear but structured grid. Unlike linear step levels (e.g., round numbers), square levels: Expand naturally as prices rise. Provide distinct mathematical anchors. Have been observed to align with natural support/resistance zones. This indicator makes square mathematics practical by adapting them to live market opens. ⚠️ Disclaimer This script is for educational purposes only. It is not financial advice. Trading carries risk; always test and combine with proper risk management.
Indicador Pine Script®
por civiljeeva
1
(LES/SES) Compliment Net Volume(LES/SES) Compliment Net Volume (LES/SES) Compliment Net Volume is a volume-based confirmation tool designed to show whether buyers or sellers are truly in control behind the candles. It acts as a compliment to the Long Elite Squeeze (LES) and Short Elite Squeeze (SES) frameworks, giving traders a clearer view of momentum strength. Note! {Short Elite Squeeze (SES) Will be released in the Future} -Designed to take shorts opposite of the long trades from LES 🔹 Core Logic Net Volume Calculation – Positive volume when price closes higher, negative when price closes lower. Cumulative Smoothing – Uses a rolling SMA of cumulative differences to remove noise. Color Coding – Green → Buyer dominance Red → Seller dominance Gray → Neutral pressure 🔹 How to Use Above zero (green) → Buyers dominate → supports long setups (LES). Below zero (red) → Sellers dominate → supports short setups (SES). Flat/gray → No clear pressure → signals caution or chop. This makes it easier to confirm when market participation aligns with a potential entry or exit. 🔹 Credit The Compliment Net Volume was developed by Hunter Hammond (Elite x FineFir) as part of the LES/SES system. The concept builds on classic Net Volume and cumulative volume analysis principles shared by the TradingView community, but has been uniquely adapted into the LES/SES framework. ⚠️ Disclaimer: This is a framework tool, not financial advice. Use with proper risk management.
Indicador Pine Script®
por ElitexFineFir
1