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Dynamic Volume Based Key Price LevelsDescription This indicator introduces a volume-based approach to detecting support and resistance zones. Instead of relying on price swings or pivots, it analyzes where the most trading activity occurred within a selected lookback period, then marks those levels directly on the chart. The result is a clear visual map of price areas with strong historical participation, which often act as reaction zones in future moves. How It Works The script divides the analyzed range into price bins, sums traded volume for each bin, and highlights the strongest levels based on their share of total volume. It also includes an optional multi-timeframe mode, allowing traders to analyze higher timeframe volume structures on a lower timeframe chart. Key Features 🔹 Volume-Based Key Levels Detection: Finds statistically meaningful price zones derived from raw volume data. 🔹 Multi-Timeframe Mode: Optionally use higher timeframe volume to identify key market structure levels. 🔹 Visual Customization: Configure colors, line styles, transparency, and label formatting. 🔹 Automatic Ranking: Highlights the strongest to weakest levels using a color gradient. 🔹 Dynamic Updates: Levels adapt automatically as new bars form. Inputs Overview Lookback Bars: Number of historical bars used for analysis. Price Bins: Defines the precision of volume distribution. Number of Lines: How many key levels to display. Min Volume %: Filters out less relevant low-volume bins. Extend Lines: Choose how lines are projected into the future. Use Higher Timeframe: Pull data from a higher timeframe for broader perspective. How to Use Apply the indicator to your chart and adjust the lookback period. Optionally enable higher timeframe mode for more stable long-term zones. Observe the horizontal lines — these represent volume-weighted support and resistance areas. Combine with your existing tools for trend or momentum confirmation. This tool helps visualize where market participation was strongest, giving traders a clearer view of potential reaction zones for both intraday and swing analysis. It’s intended as a visual analytical aid, not a signal generator. ⚠️Disclaimer: This script is provided for educational and informational purposes only. It is not financial advice and should not be considered a recommendation to buy, sell, or hold any financial instrument. Trading involves significant risk of loss and is not suitable for every investor. Users should perform their own due diligence and consult with a licensed financial advisor before making any trading decisions. The author does not guarantee any profits or results from using this script, and assumes no liability for any losses incurred. Use this script at your own risk.
Indicateur Pine Script®
par IndicatorEliteFlow
Chart Fusion Line SND Detection by TitikSona🧭 Overview Fusion Line Momentum Analyzer is a momentum visualization tool that introduces a unified model of oscillator fusion. It blends Fast and Slow Stochastics with RSI into one adaptive curve, designed to eliminate conflicting signals between different momentum sources. Instead of reading three separate oscillators, the Fusion Line provides a consolidated view of strength and exhaustion zones in a single framework. This approach helps analysts detect aligned momentum shifts with greater clarity and less noise, without repainting or lagging methods. ⚙️ Core Concept Traditional oscillators often provide conflicting readings when volatility changes. To solve this, the Fusion Line averages three normalized components: Fast Stochastic (12,3,3) — reacts quickly to short-term momentum spikes. Slow Stochastic (100,8,8) — filters long-term momentum context. RSI (26) — measures internal strength between buying and selling pressure. Each is rescaled to a 0–100 range, then averaged into a single curve called the Fusion Line. A secondary Signal Line (SMA 9) is added to visualize directional confirmation. This combination aims to preserve responsiveness from the fast components while maintaining structural stability from the slow and RSI layers. 🌈 Features Unified momentum curve combining stochastic and RSI dynamics. Automatic bias shading to highlight dominant trend direction. Real-time percentage strength meter (visual intensity). Configurable alert triggers on key momentum zones (20/80). Clean chart display without unnecessary elements or overlays. 📘 Interpretation Rising Fusion Line → indicates strengthening bullish momentum. Falling Fusion Line → indicates strengthening bearish pressure. Fusion values below 20 → potential oversold recovery. Fusion values above 80 → possible exhaustion or reversal zone. Mid-zone movement → reflects equilibrium or sideways momentum. These readings should always be combined with higher timeframe structure or volume confirmation for context. ⚙️ Default Parameters Fast Stochastic (12,3,3) Slow Stochastic (100,8,8) RSI Length (26) Signal Line Smoothing (9) All values can be adjusted to adapt to asset volatility or timeframe conditions. ⚠️ Disclaimer This indicator is a research and visualization tool, not a signal generator. It does not predict price movement or guarantee performance. Use for analytical purposes only and combine with your own trading framework. 👨‍💻 Developer Created by TitikSona — Research & Fusion Concept Designer Built using Pine Script v6 Type: Open-source educational script 💬 Short Description Fusion-based momentum visualization combining Double Stochastic and RSI into one adaptive line for clearer, noise-free momentum analysis.
Indicateur Pine Script®
par TitikSona
Lorentzian Harmonic Flow - Temporal Market Dynamic Lorentzian Harmonic Flow - Temporal Market Dynamic (⚡LHF) By: DskyzInvestments What this is LHF Pro is a research‑grade analytical instrument that models market time as a compressible medium , extracts directional flow in curved time using heavy‑tailed kernels, and consults a history‑based memory bank for context before synthesizing a final, bounded probabilistic score . It is not a mashup; each subsystem is mathematically coupled to a single clock (time dilation via gamma) and a single lens (Lorentzian heavy‑tailed weighting). This script is dense in logic (and therefore heavy) because it prioritizes rigor, interpretability, and visual clarity. Intended use Education and research. This tool expresses state recognition and regime context—not guarantees. It does not place orders. It is fully functional as published and contains no placeholders. Nothing herein is financial advice. Why this is original and useful Curved time: Markets do not move at a constant pace. LHF Pro computes a Lorentz‑style gamma (γ) from relative speed so its analytical windows contract when the tape accelerates and relax when it slows. Heavy‑tailed lens: Lorentzian kernels weight information with fat tails to respect rare but consequential extremes (unlike Gaussian decay). Memory of regimes: A K‑nearest‑neighbors engine works in a multi‑feature space using Lorentz kernels per dimension and exponential age fade , returning a memory bias (directional expectation) and assurance (confidence mass). One ecosystem: Squeeze, TCI, flow, acceleration, and memory live on the same clock and blend into a single final_score —visualized and documented on the dashboard. Cognitive map: A 2D heat map projects memory resonance by age and flow regime, making “where the past is speaking” visible. Shadow portfolio metaphor: Neighbor outcomes act like tiny hypothetical positions whose weighted average forms an educational pressure gauge (no execution, purely didactic). Mathematical framework (full transparency) 1) Returns, volatility, and speed‑of‑market Log return: rₜ = ln(closeₜ / closeₜ₋₁) Realized vol: rv = stdev(r, vol_len); vol‑of‑vol: burst = |rv − rv | Speed‑of‑market (analog to c): c = c_multiplier × (EMA(rv) + 0.5 × EMA(burst) + ε) 2) Trend velocity and Lorentz gamma (time dilation) Trend velocity: v = |close − close | / (vel_len × ATR) Relative speed: v_rel = v / c Gamma: γ = 1 / √(1 − v_rel²), stabilized by caps (e.g., ≤10) Interpretation: γ > 1 compresses market time → use shorter effective windows. 3) Adaptive temporal scale Adaptive length: L = base_len / γ^power (bounded for safety) Harmonic horizons: Lₛ = L × short_ratio, Lₘ = L × mid_ratio, Lₗ = L × long_ratio 4) Lorentzian smoothing and Harmonic Flow Kernel weight per lag i: wᵢ = 1 / (1 + (d/γ)²), d = i/L Horizon baselines: lw_h = Σ wᵢ·price / Σ wᵢ Z‑deviation: z_h = (close − lw_h)/ATR Harmonic Flow (HFL): HFL = (w_short·zₛ + w_mid·zₘ + w_long·zₗ) / (w_short + w_mid + w_long) 5) Flow kinematics Velocity: HFL_vel = HFL − HFL Acceleration (curvature): HFL_acc = HFL − 2·HFL + HFL 6) Squeeze and temporal compression Bollinger width vs Keltner width using L Squeeze: BB_width < KC_width × squeeze_mult Temporal Compression Index: TCI = base_len / L; TCI > 1 ⇒ compressed time 7) Entropy (regime complexity) Shannon‑inspired proxy on |log returns| with numerical safeguards and smoothing. Higher entropy → more chaotic regime. 8) Memory bank and Lorentzian k‑NN Feature vector (5D): Outcomes stored: forward returns at H5, H13, H34 Per‑dimension similarity: k(Δ) = 1 / (1 + Δ²), weighted by user’s feature weights Age fading: weight_age = mem_fade^age_bars Neighbor score: sᵢ = similarityᵢ × weight_ageᵢ Memory bias: mem_bias = Σ sᵢ·outcomeᵢ / Σ sᵢ Assurance: mem_assurance = Σ sᵢ (confidence mass) Normalization: mem_bias normalized by ATR and clamped into band Shadow portfolio metaphor: neighbors behave like micro‑positions; their weighted net forward return becomes a continuous, adaptive expectation. 9) Blended score and breakout proxy Blend factor: α_mem = 0.45 + 0.15 × (γ − 1) Final score: final_score = (1−α_mem)·tanh(HFL / (flow_thr·1.5)) + α_mem·tanh(mem_bias_norm) Breakout probability (bounded): energy = cap(TCI−1) + |HFL_acc|×k + cap(γ−1)×k + cap(mem_assurance)×k; breakout_prob = sigmoid(energy). Caps avoid runaway “100%” readings. Inputs — every control, purpose, mechanics, and tuning 🔮 Lorentz Core Auto‑Adapt (Vol/Entropy): On = L responds to γ and entropy (breathes with regime), Off = static testing. Base Length: Calm‑market anchor horizon. Lower (21–28) for fast tapes; higher (55–89+) for slow. Velocity Window (vel_len): Bars used in v. Shorter = more reactive γ; longer = steadier. Volatility Window (vol_len): Bars used for rv/burst (c). Shorter = more sensitive c. Speed‑of‑Market Multiplier (c_multiplier): Raises/lowers c. Lower values → easier γ spikes (more adaptation). Aim for strong trends to peak around γ ≈ 2–4. Gamma Compression Power: Exponent of γ in L. <1 softens; >1 amplifies adaptation swings. Max Kernel Span: Upper bound on smoothing loop (quality vs CPU). 🎼 Harmonic Flow Short/Mid/Long Horizon Ratios: Partition L into fast/medium/slow views. Smaller short_ratio → faster reaction; larger long_ratio → sturdier bias. Weights (w_short/w_mid/w_long): Governs HFL blend. Higher w_short → nimble; higher w_long → stable. 📈 Signals Squeeze Strictness: Threshold for BB1 = compressed (coiled spring); <1 = dilated. v/c: Relative speed; near 1 denotes extreme pacing. Diagnostic only. Entropy: Regime complexity; high entropy suggests caution, smaller size, or waiting for order to return. HFL: Curved‑time directional flow; sign and magnitude are the instantaneous bias. HFL_acc: Curvature; spikes often accompany regime ignition post‑squeeze. Mem Bias: Directional expectation from historical analogs (ATR‑normalized, bounded). Aligns or conflicts with HFL. Assurance: Confidence mass from neighbors; higher → more reliable memory bias. Squeeze: ON/RELEASE/OFF from BB
Indicateur Pine Script®
par DskyzInvestments
Volume Profile with 8 EMAs and Ichimoku Cloud — Multi-Timeframe This script merges three proven concepts — Volume Profile, 8 customizable EMAs, and Ichimoku Cloud — into a single overlay that helps traders quickly identify **high-probability zones for entries and exits. 1. Volume Profile (Market Profile logic, Steidlmayer 1980s) - Builds a horizontal histogram over the selected look-back period - Highlights the **Point of Control (PoC) and Value Area (VA) where 68 % of volume traded - Choose between **bullish, bearish, or both volume types - Toggle **visible-range or fixed-bar mode 2. Eight Exponential Moving Averages - Default lengths: 10, 25, 61, 78, 125, 150, 300, 500 - Each EMA can **trigger its own crossover alert** (up/down arrows on chart) - Colors and thickness automatically scale with length for instant visual parsing 3. Ichimoku Cloud (Goichi Hosoda, 1930) - Full cloud calculation: Tenkan, Kijun, Senkou A/B, Chikou - Dynamic trend labels: “Bullish Trend” / “Bearish Trend” when price is above/below the cloud and TK cross agrees - Cloud color reflects sentiment (green = bullish, red = bearish) How to use - Look for **confluence**: price inside Value Area + EMA stack aligned + Ichimoku cloud color match - Use PoC as intraday support/resistance for scalps - Enable only the **EMA alerts you actually trade** to avoid noise This is not a simple mash-up**: the three modules are visually integrated so that Volume Profile levels, EMA slopes, and Ichimoku cloud boundaries can be compared at a glance without switching indicators.
Indicateur Pine Script®
par CARLOSVIZCARRA17
Analyse-Werte im Chart (Multi-Timeframe)Core Components The indicator evaluates a trend based on four main pillars, which are combined into an overall score: Momentum (Rate of Change / Standard Deviation): Measures the strength and speed of the current price movement. High momentum indicates a strong, directional move. Trend Stability (R² - R-Squared): This is the heart of the analysis. The indicator searches for the best-fitting linear regression line within a user-defined period. The R² value (0-100%) indicates how well the price action fits this straight line. A high value signals a very stable, "clean" trend. Stability/Risk (Rate of Change / Ulcer Index): Compares the trend strength to the pullbacks (drawdowns) it has experienced. A trend that rises steadily without suffering deep declines receives a high rating here. RSI Proximity to 60: A small bonus factor based on the assumption that strong uptrends often use the 60 RSI level as support. ## The Output Table The result of this analysis is displayed in a clear table: Score Value: An overall grade from 0 to 100 that provides a weighted summary of the four components mentioned above. R2 Value (%): Indicates the percentage of "linearity" of the identified trend. Regression Length: The number of candles over which the most stable trend was found. Channel Z-Value: Measures how many standard deviations the current price is away from the trend line. A high positive value (> 1.8) can indicate an over-extended or "overheated" condition. Evaluation: An auto-generated text that translates the mathematical values into a human-readable assessment. It distinguishes between stable trends, momentum-driven (unstable) trends, corrections, and sideways phases. Multi-Timeframe Analysis: Shows the "Evaluation" for various timeframes (from 5 minutes to 1 week), allowing for a quick overview of the asset's overall picture. ## Flexibility through Profiles and Manual Control One of the indicator's greatest strengths is its customizability: Profiles: You can switch between three predefined analysis profiles with a single click: Short-Term: Focuses on high momentum for day trading. Mid-Term: A balanced setting for swing trading (Standard). Long-Term: Focuses on the stability of the primary trend for investors. Manual Mode: Allows you to adjust every single setting (R2 lengths, score weights) yourself to perfectly tailor the indicator to your own strategy and the specific chart.
Indicateur Pine Script®
par borg7off9
VWAP + Multi-Condition RSI Signals + FibonacciPlatform / System Platform: TradingView Language: Pine Script® v6 Purpose: This script is an overlay indicator for technical analysis on charts. It combines multiple tools: VWAP, RSI signals, and Fibonacci levels. 1️⃣ VWAP (Volume Weighted Average Price) What it does: Plots the VWAP line on the chart, which is a weighted average price based on volume. Can be anchored to different periods: Session, Week, Month, Quarter, Year, Decade, Century, or corporate events like Earnings, Dividends, Splits. Optionally plots bands above and below VWAP based on standard deviation or a percentage. Supports up to 3 bands with customizable multipliers. Will not display if the timeframe is daily or higher and the hideonDWM option is enabled. Visual on chart: A main VWAP line with optional shaded bands. 2️⃣ RSI (Relative Strength Index) Signals What it does: Calculates RSI with a configurable period. Identifies overbought and oversold zones using user-defined levels. Generates buy/sell signals based on: RSI crossing above oversold → Buy RSI crossing below overbought → Sell Detects strong signals using divergences: Bullish divergence: Price makes lower low, RSI makes higher low → Strong Buy Bearish divergence: Price makes higher high, RSI makes lower high → Strong Sell Optional momentum signals when RSI crosses 50 after recent overbought/oversold conditions. Visual on chart: Triangles for buy/sell Different color triangles/circles for strong and momentum signals Background shading in RSI overbought/oversold zones Alerts: The script can trigger alerts when any of these signals occur. 3️⃣ Fibonacci Levels What it does: Calculates Fibonacci retracement and extension levels based on the highest high and lowest low over a configurable lookback period. Plots standard Fibonacci levels: 0.146, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0 Plots extension levels: 1.272, 1.618, 2.0, 2.618 Helps identify potential support/resistance zones. Visual on chart: Horizontal lines at each Fibonacci level, shaded with different transparencies. Summary This script is essentially a multi-tool trading indicator that combines: VWAP with dynamic bands for trend analysis and price positioning RSI signals with divergences for entry/exit points Fibonacci retracement and extension levels for support/resistance It is interactive and visual, providing both chart overlays and alert functionality for active trading strategies. This code is provided for training and educational purposes only. It is not financial advice and should not be used for live trading without proper testing and professional guidance.
Indicateur Pine Script®
par Panos1389
1
Volatilidad Multi-TF📊 Multi-Timeframe Volatility (ATR%) Description Indicator that displays the current asset's volatility across multiple timeframes simultaneously. It uses the ATR (Average True Range) normalized as a percentage of price, allowing for objective volatility comparison across different timeframes. ✨ Key Features - Multi-Timeframe Analysis: Visualize volatility across 5 different timeframes (1H, 4H, D, W, M) - Normalized Volatility: ATR expressed as a percentage of price for accurate comparison - Compact Table: Clean and easy-to-read interface in the corner of your chart - Auto-Update: Automatically adapts to the asset you're viewing - No Additional Plots: Only displays essential information in table format 🎯 How to Use 1. Add the indicator to your chart 2. The table will automatically display the current asset's volatility 3. Percentage values allow you to quickly identify: - Which timeframe has higher/lower volatility - Divergences between timeframes - High or low volatility zones to adjust your strategies ⚙️ Configurable Parameters - ATR Period: Default 14, adjust according to your strategy 📈 Practical Applications - Risk Management: Adjust position sizing based on current volatility - Asset Selection: Identify assets with suitable volatility for your profile - Entry Timing: Detect volatility expansions/contractions - Timeframe Analysis: Compare volatility across different time periods 💡 Technical Notes - Normalized ATR allows volatility comparison between assets with different prices - Useful for both intraday trading (1H, 4H) and swing/positional trading (D, W, M) - Compatible with any market: cryptocurrencies, forex, stocks, indices ⚠️ Disclaimer This indicator is a technical analysis tool. It does not constitute financial advice. Conduct your own analysis and risk management before trading.
Indicateur Pine Script®
par JuanDeNogoya
Dynamic ATR BandsDescription: The Dynamic ATR Bands indicator visualizes ATR-based stop-loss, take-profit, and trailing levels. Bands can be drawn relative to a fixed entry price or dynamically relative to the current price. It is ideal for trend-following, swing trading, and hybrid strategies, especially on volatile or noisy instruments. Key Features: Base ATR Bands: Plots ATR-based bands above and below a reference price. Acts as initial stop-loss or target guidance. Adjustable multiplier (default 1× ATR). Extra ATR Band: Add an additional ATR band at a custom multiplier. Position it above or below the reference price. Useful for trailing stops or extended profit targets. Hybrid Entry Mode: Use Fixed Entry Price: bands are drawn relative to your entry and remain fixed. Dynamic Mode: bands behave like standard ATR bands, moving with the current price. Allows visualization of hybrid ATR stop-loss and trailing strategies. Clean Visuals: Color-coded bands differentiate base (solid) from extra (semi-transparent). How to Use: Set ATR length and multipliers according to your strategy. Toggle hybrid entry mode and input your entry price, or leave off for dynamic bands. Set the extra band multiplier and choose its position (upper/lower). Use the bands as visual guides for stop-loss, take-profit, and trailing levels. Inputs: ATR Length: number of periods for ATR calculation Base ATR Multiplier: distance of base bands from reference price Extra ATR Multiplier: distance for the additional band Extra Band Position: choose Upper or Lower Use Fixed Entry Price: toggle hybrid entry mode Entry Price: specify entry price if hybrid mode is enabled Note: This script is visual only; it does not place trades. It is designed to help plan ATR-based stop-loss, take-profit, and hybrid trade management visually on the chart.
Indicateur Pine Script®
par ExpertCBCD
SAR e Bollinger Bands CombinateThis TradingView script combines the analytical power of the Parabolic SAR with Bollinger Bands (BB) for a comprehensive dual market analysis. The Parabolic SAR tracks the trend's direction and momentum, plotting points as lime crosses (uptrend) or red crosses (downtrend), and clearly marks trend reversals with a small triangle at the bottom of the chart. Bollinger Bands measure market volatility and provide dynamic support and resistance levels. The space between the upper and lower bands is filled for enhanced visual clarity. The indicator is fully customizable, allowing users to fine-tune all key parameters, including the SAR's Acceleration Factor (AF) and the BB's Period/Standard Deviation. This makes it an ideal tool for simultaneously identifying trend momentum, potential reversals, and overbought/oversold market conditions.
Indicateur Pine Script®
par Roger_Kint
Bitcoin Gold Fair Value Model | FREEBitcoin Gold Fair Value Model | FREE This script presents a quantitative model that explores the historical relationship between Bitcoin (BTCUSD) and Gold (TVC:GOLD). It estimates Bitcoin’s fair value projection based on the price of gold, using a rolling regression model calculated over a user-defined lookback period (default: 1000 days). 📘 How It Works The model fits a simple linear regression of Bitcoin’s daily close price versus Gold’s daily close price. From this relationship, it computes a projected Bitcoin price based on today’s gold value, plotted forward by a chosen number of days (default: 65). Confidence ranges (±1 standard deviation and 95% interval) help visualize the uncertainty around the projection. A statistical panel displays the projected price, range estimates, and R² value, indicating the strength of correlation between the two assets. ⚙️ Features Rolling regression using historical BTC and Gold data. Forward fair-value projection line (customizable projection period). 1σ (standard deviation) and 95% confidence bands. On-chart statistical summary with current model values. Real-time updates when new daily data becomes available. 📊 How to Use Recommended for use on the daily timeframe with the INDEX:BTCUSD symbol. The model provides a statistical estimate of Bitcoin’s price relative to gold trends, not a trading signal. The R² value can be used to assess the current strength of correlation - higher R² suggests a more stable relationship, while lower values indicate weaker or changing dynamics. ⚠️ Important Notes This indicator is intended for educational and analytical purposes only. It does not predict prices or provide financial advice. Relationships between assets can and do change over time. Always perform your own research and use additional tools for confirmation.
Indicateur Pine Script®
par jpegtard69420
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap! 🧠 Description This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure. 🔍 Why Friday & Monday matter Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias. Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders. Together, these two days define the range traps and breakout zones that often control price action until midweek. > In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike. 🧩 What this tool does ✅ Highlights Friday (red) and Monday (green) sessions ✅ Adds optional day labels above bars ✅ Works across all timeframes (best on 15min to 1hr charts) ✅ Helps you visually identify where institutions likely built their positions Use it to quickly spot: * Range boundaries that trap traders * Gap zones likely to get filled * High–low sweeps before reversals ⚙️ Recommended Use 1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday. 2. When Monday holds above Friday’s high , breakout continuation is likely. 3. When Monday fails below Friday’s low , expect a reversal or trap. 4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation. ⚠️ Disclaimer This indicator is for **educational and analytical purposes only**. It does **not constitute financial advice** or a trading signal. Markets are dynamic — always perform your own research before trading or investing.
Indicateur Pine Script®
par JoanJagan
X Feigenbaumplots forward “projection zones” derived from a user-defined Feigenbaum Deterministic Range (FDR). Starting from two anchor prices (p01a, p01b) that define the initial condition, the tool computes successive expansion zones above and below that range using fixed scale factors. Each zone is rendered as a shaded box with optional edge outlines, an auto-midline, and an optional label—giving you an at-a-glance map of where price may propagate next. This indicator is a visual framework, not a signal generator. It’s meant to be combined with your existing structure/flow reads (order flow, VWAPs, ORs, HTF levels, etc.) to plan scenarios, targets, and invalidation. Key ideas (context) Initial condition → expansions: You define a deterministic base range (FDR) from which the script projects outward “echoes.” Bidirectional mapping: Zones are drawn symmetrically as +1, +2, +3, +4 (above) and −1, −2, −3, −4 (below) to reflect potential propagation in either direction. Diminishing confidence with distance: Farther zones are for scenario planning/targets; nearer zones are more actionable for risk placement and management. How the levels are built Feigenbaum Deterministic Range (FDR): Inputs p01a and p01b define the initial range (FDR = p01a − p01b). Category “F Range” draws that base box. Projection Zones: The script computes zone pairs by offsetting from the initial range using fixed multipliers of FDR. In code, these are the pre-set coefficients: ±1: 0.6714 and 1.5029 ±2: 2.5699 and 3.6692 ±3: 6.1398 and 8.3384 ±4: 13.2796 and 17.6768 Each zone is two prices (a, b) forming a band; the same logic mirrors below the range for the negative side. Rendering & midlines: Each enabled category draws a filled box from the anchor bar to the right edge (current bar + extend_len). Optional outlines (solid/dashed/dotted) for top/bottom/left/right edges. Optional midline (always dashed) bisects each zone for quick reference. Anchoring & timeframe logic Anchor refresh: interval1 sets an HTF “clock” (e.g., Daily). On each new HTF bar, all categories re-anchor at that bar’s index so new projections start cleanly with the fresh session/period. Extend control: extend_len nudges the right boundary beyond the latest bar for label/edge clarity. Inputs & styling Settings group: Anchor 1 Timeframe (e.g., D) defines the refresh cadence. Label toggles: show/hide, size, text color, and background. Feigenbaum DR group: Enable the base F range, set p01a/p01b, choose fill/line colors, outline style, and the mid toggle. Ranger Factors groups (Zones ±1…±4): Each zone can be enabled/disabled, inherits its computed prices, and has independent fill/line color, outline style, and mid toggle. Practical usage Scenario mapping: Use +/−1 zones for near-term impulse tracking and intraday targets; treat +/−3 and +/−4 as stretch objectives or “if trend persists” waypoints. Confluence first: Prioritize trades when a Feigenbaum zone aligns with a known liquidity pool, session level (e.g., OR, ETH/RTH AVWAP), HTF pivot, or key option-derived levels. Risk & invalidation: The base FDR and nearest zone edges provide clean invalidation references and partial-take structures. Notes & limitations The coefficients are fixed in this version (you can expose them as inputs if you want to calibrate per market). Projections are descriptive, not predictive; treat farther zones as lower-confidence context. Because anchors reset on the selected HTF, choose interval1 consistent with your playbook (e.g., Daily for RTH framing, Weekly for swing maps). Output summary Boxes: FDR (base), Zones +1/−1, +2/−2, +3/−3, +4/−4 Edges: Optional top/bottom/left/right per zone (styleable) Midlines: Optional dashed mid per zone Labels: Optional, style-controlled, positioned just beyond the right edge
Indicateur Pine Script®
par KinetiCapital
Bollinger Bands Squeeze📈 Bollinger Bands Squeeze This indicator enhances traditional Bollinger Bands by integrating Keltner Channel layers to visualize market compression and volatility expansion — allowing traders to easily identify when a squeeze is building or releasing. 🔍 Overview This is a refined version of the classic Bollinger Bands, designed to detect volatility squeezes using multiple Keltner Channel thresholds. The script plots standard Bollinger Bands and dynamically colors the bands according to the degree of compression relative to the Keltner Channels. ⚙️ How It Works Bollinger Bands are calculated from a selected moving average (SMA, EMA, SMMA, WMA, or VWMA) and standard deviation multiplier. Keltner Channels are derived from ATR (True Range) using three sensitivity levels (1.0, 1.5, and 2.0× multipliers). When Bollinger Bands contract inside a Keltner Channel, the script marks a squeeze state: 🟠 High Compression (Orange): Very tight volatility — expect breakout soon. 🔴 Mid Compression (Red): Moderate contraction — volatility is building. ⚫ Low Compression (Gray/Black): Early compression phase. 🧩 Inputs & Customization Length : Period for both Bollinger and Keltner calculations. Basis MA Type: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA. StdDev Multiplier : Controls Bollinger Bandwidth. Keltner Multipliers (1.0 / 1.5 / 2.0) : Adjust compression thresholds. Offset : Shifts the bands visually on the chart. 🕹️ Best Use Cases Identify pre-breakout conditions before volatility expansion. Combine with volume, momentum, or trend indicators (e.g., RSI) for confirmation. Ideal for scalping, breakout trading, or volatility-based entries during session opens.
Indicateur Pine Script®
par alexrainman
karakas2.1Strategy Philosophy and Objective This strategy is a high-probability Mean Reversion system. It is based on the principle that markets behave like a stretched rubber band: when the price moves too far away from its average value (the band is stretched), it has a high tendency to eventually snap back towards its mean. The objective of this strategy is to identify these moments of "extreme extension" and to capture the highest probability move as the price reverts to its average. Rather than acting hastily, it employs a multi-layered confirmation system to trade only on the highest quality signals. Strategy Profile Strategy Name: Final Optimized Strategy Type: Mean Reversion Recommended Timeframe: Developed on M15 (15-Minute). Suitable Markets: High-volume, volatile assets. Ideal for Indices (US100, S&P500), Major Forex Pairs (EUR/USD, GBP/USD), and Commodities (Gold). Core Tools: Bollinger Bands: Period: 20, Standard Deviation: 2.2 RSI (Relative Strength Index): Period: 14, Overbought/Oversold Levels: 75 / 25
Indicateur Pine Script®
par gokosbaba