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Indicatori e strategie

Titan 6.1 Alpha Predator [Syntax Verified]Based on the code provided above, the Titan 6.1 Alpha Predator is a sophisticated algorithmic asset allocation system designed to run within TradingView. It functions as a complete dashboard that ranks a portfolio of 20 assets (e.g., crypto, stocks, forex) based on a dual-engine logic of Trend Following and Mean Reversion, enhanced by institutional-grade filters.Here is a breakdown of how it works:1. The Core Logic (Hybrid Engine)The indicator runs a daily "tournament" where every asset competes against every other asset in a pairwise analysis. It calculates two distinct scores for each asset and selects the higher of the two:Trend Score: Rewards assets with strong directional momentum (Bullish EMA Cross), high RSI, and rising ADX.Reversal Score: Rewards assets that are mathematically oversold (Low RSI) but are showing a "spark" of life (Positive Rate of Change) and high volume.2. Key FeaturesPairwise Ranking: Instead of looking at assets in isolation, it compares them directly (e.g., Is Bitcoin's trend stronger than Ethereum's?). This creates a relative strength ranking.Institutional Filters:Volume Pressure: It boosts the score of assets seeing volume >150% of their 20-day average, but only if the price is moving up.Volatility Check (ATR): It filters out "dead" assets (volatility < 1%) to prevent capital from getting stuck in sideways markets."Alpha Predator" Boosters:Consistency: Assets that have been green for at least 7 of the last 10 days receive a mathematically significant score boost.Market Shield: If more than 50% of the monitored assets are weak, the system automatically reduces allocation percentages, signaling you to hold more cash.3. Safety ProtocolsThe system includes strict rules to protect capital:Falling Knife Protection: If an asset is in Reversal mode (REV) but the price is still dropping (Red Candle), the allocation is forced to 0.0%.Trend Stop (Toxic Asset): If an asset closes below its 50-day EMA and has negative momentum, it is marked as SELL 🛑, and its allocation is set to zero.4. How to Read the DashboardThe indicator displays a table on your chart with the following signals:SignalMeaningActionTREND 🚀Strong BreakoutHigh conviction Buy. Fresh uptrend.TREND 📈Established TrendBuy/Hold. Steady uptrend.REV ✅Confirmed ReversalBuy the Dip. Price is oversold but turning Green today.REV ⚠️Falling KnifeDo Not Buy. Price is cheap but still crashing.SELL 🛑Toxic AssetExit Immediately. Trend is broken and momentum is negative.Icons:🔥 (Fire): Institutional Buying (Volume > 1.5x average).💎 (Diamond): High Consistency (7+ Green days in the last 10).🛡️ (Shield): Market Defense Active (Allocations reduced due to broad market weakness).
Indicatore Pine Script®
di johnthetrader98
NSDT LatticeThis script automatically detects the Open price once the Futures markets open (6PM Eastern Time) and plots Support/Resistance levels based on the "Ticks Between Levels" that the trader enters in the settings. The trader can also chose to set their own Custom Start Price should they wish to. For example: If they want to use the New York session Open price (for RTH) instead of the Asia session Open price (ETH). You can change the colors and thickness of the lines, as well as the numbers of levels plotted.
Indicatore Pine Script®
di NorthStarDayTrading
BB37BB37 WHAT IS SUPPORT AND RESISTANT ? Support and resistance are fundamental concepts in technical analysis used to identify price levels on charts that are likely to act as barriers, preventing the price from moving in a certain direction. Support: Definition: Support refers to a price level at which an asset tends to stop falling because demand is strong enough to prevent further declines. It acts as a "floor" for the price, where buyers step in to buy the asset, causing the price to rebound or stabilize. Example: If a stock is trading at $50 and repeatedly fails to drop below that level, $50 would be considered a support level. Resistance: Definition: Resistance is the opposite of support. It refers to a price level at which selling pressure is strong enough to prevent the price from rising further. It acts as a "ceiling," where sellers are more willing to sell, causing the price to reverse or consolidate. Example: If the price of an asset repeatedly fails to rise above $100, $100 would be considered a resistance level. In Practice: Support and resistance levels are used by traders to make decisions about buying and selling. If the price approaches support, traders may see it as a potential buying opportunity. If the price approaches resistance, they may consider selling or shorting the asset. If price breaks through a support or resistance level, it can signal a significant price movement. For example, a price moving above resistance may indicate an uptrend, while a price falling below support could indicate a downtrend. These levels are not always exact and may vary slightly, often being identified as areas rather than precise lines on a chart. They are key tools for understanding market psychology and price behavior.
Indicatore Pine Script®
di Taufiqismail86
Daily ATR (Shown on All Timeframes)Daily ATR (Shown on All Timeframes) displays the Daily timeframe ATR on any chart you’re viewing, so you always know the current day’s average range without switching timeframes. True Daily ATR (not chart ATR): The script pulls ATR from the Daily chart using request.security() and shows that value on every timeframe. On-chart table (top-right): A clean 2-row table shows: The label: Daily ATR (Length) The ATR value, with an optional ATR-as-% of price readout. Custom display controls: ATR Length input (default 14) Toggle to show ATR % of current price Toggle to show/hide the table Choose table text color Choose table text size (Tiny → Huge) Data Window output: The Daily ATR value is also plotted invisibly so it appears in TradingView’s Data Window for quick reference. This is useful for gauging daily volatility, setting risk/position sizing, and comparing intraday movement to the stock’s typical daily range.
Indicatore Pine Script®
di GTCI17
1
VSA Effort Result v1.0VSA Effort vs Result by StupidRich Detects volume-spread divergence: - "Er": High volume, narrow spread (absorption) - "eR": Low volume, wide spread (momentum) Features: • Clean text labels (customizable size) • Wide vertical lines matching candle range • Adjustable thresholds & volume SMA • Works on all timeframes/assets Perfect for spotting institutional absorption at key levels. if u wanna buy me a coffee, just dm @stupidrichboy on Telegram hope it help
Indicatore Pine Script®
di dchu3112
Enterprise Adaptive RSI WeightDescription (TradingView) Enterprise Adaptive RSI Weight is a clean, decision-support oscillator for XAUUSD & EURUSD (5m/15m). It converts RSI into a normalized Weight (W) and smooths it with a Hull Moving Average (yellow) to highlight trend bias + momentum shifts. What to watch W (main line) = bias & momentum (above 0 = bullish, below 0 = bearish) Yellow line (HMA) = signal filter CROSS (W ↔ HMA) = key confirmation point CROSS ↑ = bullish momentum confirmation CROSS ↓ = bearish momentum confirmation Built-in safety filters (enterprise-style) Signals are filtered by: Quality/Gate (model confidence) Dead Zone (avoids weak/noise signals) Optional HTF alignment (trade only when higher timeframe agrees) Visual markers L / S = entry triggers (valid cross + filters) XL / XS = momentum exit warnings 0↑ / 0↓ = bias flip (crossing the 0 line) REV = exit from extreme zones (OB/OS reversal hint) STR = strong trend condition How to use (simple workflow) Check STATE in the panel: trade only BULL or BEAR Enter on CROSS in the same direction Manage/exit on XL/XS or loss of momentum Tip: Best used as a confirmation tool, not as a standalone strategy.
Indicatore Pine Script®
di stoyan_valev
NQ-Market Momentum CompassNQ-Market Momentum Compass: User Guide Overview NQ-Market Momentum Compass is a comparative momentum tool that helps you visualize the relative strength between Nasdaq futures (NQ) and a volume-weighted composite of other major US index futures (ES, RTY, and YM). This indicator plots two oscillator lines that move above and below zero, making it easy to identify momentum shifts and potential divergences between tech-heavy Nasdaq and the broader market. What You're Looking At The indicator displays two main components: NQ Oscillator (Blue Line): Shows the percentage change in NQ futures over your selected lookback period. Composite Oscillator (Orange Line): Shows the volume-weighted average percentage change of S&P 500 (ES), Russell 2000 (RTY), and Dow Jones (YM) futures over the same period. Zero Line (Gray): The center reference line dividing positive and negative momentum. How It Works Core Calculation The indicator calculates percentage change over a lookback period: For each index, it computes: (current_price - price_n_bars_ago) / price_n_bars_ago * 100 The NQ line shows this calculation for Nasdaq futures The composite line weights the other indices by their relative trading volumes Volume Weighting Instead of a simple average, the composite line incorporates trading volume to give more weight to indices with higher participation. This provides a more accurate representation of overall market momentum. How to Interpret the Indicator Basic Interpretation Above Zero: Price is higher than it was at the lookback period ago (positive momentum) Below Zero: Price is lower than it was at the lookback period ago (negative momentum) Steepness: Indicates the strength of the momentum (steeper = stronger momentum) Comparative Analysis When Lines Move Together: NQ is moving in harmony with the broader market When Lines Diverge: NQ above composite: Tech/growth is outperforming the broader market Composite above NQ: Broader market is outperforming tech/growth Key Signals to Watch Crossovers Between Lines: Potential shift in sector leadership NQ crossing above composite: Tech starting to outperform NQ crossing below composite: Tech starting to underperform Zero-Line Crossovers: Change in overall momentum direction Crossing above zero: Shift to positive momentum Crossing below zero: Shift to negative momentum Divergences: When one line makes a new high/low while the other doesn't, suggesting potential reversal Practical Applications Market Rotation Analysis: Identify shifts between tech and broader market leadership Trend Confirmation: Validate trends by checking if both oscillators are in agreement Early Warning System: Spot when tech starts to diverge from the broader market Relative Strength Analysis: Determine which segment of the market has stronger momentum Customization Options The indicator offers two main customization groups: Calculation Settings: Momentum Window: The lookback period for calculating percentage change (default: 20) Price Smoothing: EMA smoothing applied to prices before calculation (default: 5) Display Settings: NQ Line Color: Customize the color of the NQ oscillator line Composite Line Color: Customize the color of the composite oscillator line Tips for New Users Start with the Defaults: The default settings (20-period momentum window, 5-period smoothing) work well across most timeframes Focus on Relationships: The absolute values matter less than the relationship between the two lines Use Multiple Timeframes: Check the oscillator on both short and longer timeframes for confirmation Watch for Extremes: When either line reaches unusually high or low values, expect potential reversion Combine with Other Indicators: For best results, use alongside trend and volatility indicators This oscillator is particularly useful for traders who want to understand the intermarket dynamics between tech stocks and the broader market, helping to identify sector rotation and potential trading opportunities.
Indicatore Pine Script®
di DrodzCip
Demand Index - Metastock VersionThis script implements the Demand Index, a complex technical indicator originally developed by James Sibbet. This specific version is adapted from the classic MetaStock formula to ensure accuracy and consistency with the original methodology. The Demand Index combines price and volume data to relate price pressure to volume intensity. It is often used as a leading indicator to predict price trends by assessing the balance between buying pressure (Demand) and selling pressure (Supply). How It Works The calculation involves several steps to normalize volume and price changes: Weighted Close: It calculates a weighted close price giving extra weight to the closing price (High + Low + 2*Close) / 4. Volatility & Volume Averages: It computes the Average True Range (ATR) proxy and an Exponential Moving Average (EMA) of the volume to establish a baseline. Buying & Selling Pressure: The core logic compares the current weighted close to the previous one. If prices rise, the volume is assigned to Buying Pressure. If prices fall, the volume is assigned to Selling Pressure. A decay factor (Constant) is applied based on volatility to smooth the reaction to extreme price moves. The Index: The final oscillator is derived from the ratio of smoothed Buying Pressure to Selling Pressure. How to Use It The Demand Index oscillates around a zero line. Traders typically look for the following signals: Divergence: This is the most common use. Bullish Divergence: Prices are making new lows, but the Demand Index is making higher lows. This suggests selling pressure is waning and a reversal may be imminent. Bearish Divergence: Prices are making new highs, but the Demand Index is making lower highs. This suggests buying pressure is drying up. Zero Line Crossovers: A cross above zero indicates that Buying Pressure has overtaken Selling Pressure (Bullish). A cross below zero indicates that Selling Pressure has overtaken Buying Pressure (Bearish). Trend Confirmation: In a strong trend, the Demand Index should generally move in the same direction as the price. Settings Length: The lookback period for the moving averages (Default is 19, consistent with the standard MetaStock setting). Originality & Credits This script is a direct translation of the mathematical formula used in MetaStock software. While the Demand Index concept belongs to James Sibbet, this specific Pine Script implementation is provided as open source for the community to study and utilize. Disclaimer: This script is for educational and informational purposes only. It DOES NOT constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always do your own research before making investment decisions.
Indicatore Pine Script®
di abgthecoder
Weis Wave Renko Institutional HUD (Wyckoff/Auction) v6Weis Wave Renko • Institutional HUD + Panel 2 Wyckoff / Auction Market Framework This project consists of TWO COMPLEMENTARY INDICATORS, designed to be used together as a complete visual framework for reading Effort vs Result, Auction Direction, and Session Control, based on Wyckoff methodology and Auction Market Theory. These tools are not trade signal generators. They are context and decision-support instruments, built for discretionary traders who want to understand who is active, where effort is occurring, and when the auction is reaching maturity or exhaustion. 🔹 1) WEIS WAVE RENKO — INSTITUTIONAL HUD (Overlay) 📍 Location: Plotted directly on the price chart 🎯 Purpose: Fast, high-level institutional context and trade permission The HUD answers: “What is the current state of the auction, and is trading permitted?” What the HUD shows: 🧠 Market Participation Measures how much participation is present in the market: Low Participation Weak Participation Active Participation Dominant Participation This reflects whether professional activity is present or absent, not direction alone. 📐 Auction Direction Defines how the auction is currently resolving: Auction Up Auction Down Balanced Auction This is derived from price progression and effort alignment. 🔥 Effort (Effort vs Result) Displays the relative strength of the current effort, normalized over recent waves: Visual effort bar Strength percentage (0–100) Effort classification: Low Effort Increasing Effort Strong Effort Effort Exhaustion This is the core Wyckoff concept: effort must produce result. 🌐 Session Control Shows which trading session is controlling the auction: Asia – Accumulation Phase London – Development Phase US RTH – Decision Phase The dominant session is visually emphasized, while others are intentionally de-emphasized. 🔎 Market State & Trade Permission Clearly separates structure from permission: Structure (Neutral, Developing, Trending, Climactic Extension) Permission Trade Permitted No Trade Zone When Effort Exhaustion is detected, the HUD explicitly signals No Trade Zone. 🔹 2) WEIS WAVE RENKO — PANEL 2 (Lower Pane) 📍 Location: Dedicated lower pane below the price chart 🎯 Purpose: Detailed, continuous visualization of effort, strength, and climax Panel 2 answers: “How is effort evolving, and is the auction maturing or exhausting?” What Panel 2 shows: 📊 Effort Wave (Weis-like) Histogram of accumulated effort per directional wave Green: Auction Up effort Red: Auction Down effort This reveals where real participation is building. 📈 Strength Line (0–100) Normalized strength of the current effort wave Same calculation used by the HUD Enables precise comparison of effort over time ⚠️ Climax / Effort Exhaustion Marker Triggered when effort is both strong and mature Highlights Climactic Extension / Exhaustion Serves as a warning, not an entry signal 🔗 HOW TO USE BOTH TOGETHER (IMPORTANT) These indicators are designed to be used simultaneously: Panel 2 reveals → how effort is building, peaking, or exhausting HUD translates that information into → market state and trade permission Typical workflow: Panel 2 identifies rising effort or climax HUD confirms: Participation quality Auction direction Session control Whether trading is permitted or restricted ⚠️ IMPORTANT NOTES These tools do not generate buy or sell signals They are contextual and structural Best used with: Wyckoff schematics Auction-based execution Market profile / volume profile Discretionary trade management 🎯 SUMMARY Institutional, non-lagging framework Effort vs Result at the core Clear separation between: Context Structure Permission Designed for professional discretionary traders
Indicatore Pine Script®
di alxgoulart
Laguerre Timeframe OscillatorLaguerre Timeframe Breadth Oscillator Multi-timeframe × multi-gamma Laguerre breadth model ──────────────────────── Usage Notes ──────────────────────── • This is a regime & consensus indicator, not a trigger • Best used for trend validation and risk filtering • Extreme values tend to persist during strong regimes This indicator answers a single question: “Out of 198 independent Laguerre filters, how many are currently rising?” ──────────────────────── Concept ──────────────────────── Using Laguerre polynomials, we aggregate price behavior across: • 11 explicit timeframes (1-minute → 1-day) • 18 gamma responsiveness levels (0.10 → 0.95) This produces 198 independent Laguerre curves. The final oscillator is NOT price. It represents a directional consensus across timescales and smoothing sensitivities. ──────────────────────── Laguerre Filter Mathematics ──────────────────────── For each Laguerre line i: L0ᵢ(t) = (1 − γᵢ) · x(t) + γᵢ · L0ᵢ(t−1) L1ᵢ(t) = −γᵢ · L0ᵢ(t) + L0ᵢ(t−1) + γᵢ · L1ᵢ(t−1) L2ᵢ(t) = −γᵢ · L1ᵢ(t) + L1ᵢ(t−1) + γᵢ · L2ᵢ(t−1) L3ᵢ(t) = −γᵢ · L2ᵢ(t) + L2ᵢ(t−1) + γᵢ · L3ᵢ(t−1) Smoothed output: Yᵢ(t) = ( L0ᵢ + 2·L1ᵢ + 2·L2ᵢ + L3ᵢ ) / 6 This weighted sum smooths noise while preserving phase better than a traditional EMA. ──────────────────────── Gamma Responsiveness ──────────────────────── Gamma controls responsiveness vs stability: 0.10 — Very fast, noisy 0.40 — Momentum-sensitive 0.70 — Trend-stable 0.95 — Very slow, structural Each timeframe is evaluated across all gamma levels. ──────────────────────── Timeframes Used (11) ──────────────────────── Minutes: 1, 3, 5, 10, 15, 30, 45 Hours: 1, 2, 4 Days: 1 ──────────────────────── Direction Test ──────────────────────── Each Laguerre line votes “up” or “down”: Iᵢ(t) = 1 if Yᵢ(t) > Yᵢ(t−1) Iᵢ(t) = 0 otherwise ──────────────────────── Breadth Calculation ──────────────────────── greenCount(t) = I₁(t) + I₂(t) + I₃(t) + … + I₁₉₈(t) Total number of rising Laguerre filters. ──────────────────────── Centered Breadth Oscillator ──────────────────────── oscRaw(t) = greenCount(t) − 99 (99 = half of 198; zero represents balanced breadth) ──────────────────────── Smoothing & Amplification ──────────────────────── EMA smoothing: oscSmooth(t) = EMA₁₀₀(oscRaw) Extreme emphasis: oscExtreme(t) = 2 · oscSmooth(t) ──────────────────────── Clamped Final Output ──────────────────────── osc(t) = max( −99 , min( 99 , oscExtreme(t) ) ) Range: • −99 → all filters falling • 0 → mixed / neutral • +99 → all filters rising ──────────────────────── Optional Probabilistic Interpretation ──────────────────────── p(t) = greenCount(t) / 198 Interpretable as the probability of upward directional alignment. Reach out on Discord if you need further guidance. - Coño Vista
Indicatore Pine Script®
di Jysun
Level Targeting Heatmap (Effort -Targets) Level Targeting — Volume-Based Heatmap Level Targeting visualizes price zones where the market previously approached with elevated relative volume. These zones represent targets, not signals. The indicator is built on a simple idea: price moves with effort, and effort is expressed through volume. ⸻ What it shows • Heatmap zones where price was approached on high relative volume • Zones represent price ranges, not exact levels • Stronger zones indicate repeated market interest • Separate visualization for zones above and below current price • Optional focus on nearest targets or recently active zones ⸻ How to read it • Levels = targets • Volume = effort • The path to a level matters more than the level itself • Volume anomalies are questions, not buy/sell signals • The market is always being driven, held, or distributed ⸻ What this indicator is ✔️ A market context filter ✔️ A statistical heatmap of historical market attention ✔️ A tool to understand where the market has previously paid to be ⸻ What this indicator is not ✘ Not a buy/sell signal ✘ Not predictive on its own ✘ Not a trading system ⸻ Design philosophy This indicator adapts naturally to timeframe and chart scale. Zones may change with zoom level — this is intentional and reflects contextual market structure, not repainting. Designed for analysis, not automation.
Indicatore Pine Script®
di danilita247
SMA Cross + Adaptive Q MA + AMA Channel 📘 OPERATIONAL MANUAL: Adaptive Trend & SR Breakout SystemThis system combines non-parametric regression, volatility channels, and automated price action structures to identify high-probability entries. 1. Core IndicatorsAdaptive Q (KAMA): The primary trend line. Green = Bullish; Red = Bearish. AMA Channel: An ATR-based envelope ($1.5 \times ATR$) that defines the "Value Area". SMA 50 Filter: Global trend filter. Trade Long only above; Short only below. SR Zones: Automatic boxes marking historical Support (Blue/Green) and Resistance (Red).Shutterstock 2. Entry Rules 🟢 LONG SETUP:Price is above SMA 50.Large Lime Triangle appears (Channel Cross).Adaptive Q line is Green.Best entry: Price bounces off a Support Box. 🔴 SHORT SETUP:Price is below SMA 50.Large Red Triangle appears (Channel Cross).Adaptive Q line is Red.Best entry: Price rejects a Resistance Box. 3. Risk Management Stop Loss: Set at $1.5 \times ATR$ or behind the nearest SR Box. Take Profit: Target the next opposite SR Zone or exit if the Adaptive Q changes color. 4. LegendLarge Triangles: High-conviction volatility signals. Small Triangles: Standard SMA Cross (early warning). Red/Green Boxes: Supply and Demand zones for structural confirmation.
Indicatore Pine Script®
di CryptoZoso
4MA / 4MA-1 Interactive Projection and Volatility Envelopehis script is a user-interactive upgrade to my original 4MA projection tool (Code 1). The goal of this version is to keep the same core behavior while adding transparent controls so you can adapt it to different symbols, timeframes, and market regimes. At its core, the indicator tracks: MA4 (4-period SMA) and MA4 (the 1-bar lag of MA4) to show short-term alignment and slope, and A forward projection path plus a deviation “envelope” to visualize typical expansion vs. stretched moves vs. extreme deviations. What’s on the chart 1) Live structure lines MA4 and MA4 are plotted on the chart. Their relationship provides a simple structure read: MA4 > MA4 → bullish alignment MA4 < MA4 → bearish alignment 2) Projection path (optional) The script builds a forward “projection” by sampling a historical MA window and drawing that shape forward by a user-defined bar shift. Delta-anchor option (recommended): When enabled, the sampled shape is re-centered onto the current MA level (preserves relative movement rather than absolute price level). Important: This projection is a visual reference model, not a promise of future price. 3) Standard deviation envelopes (optional) Deviation bands are derived from the distribution of (close − MA4) across the sampled window, then applied around the projected path using configurable multipliers (a “ladder” of envelopes). These envelopes are designed to help visualize: Normal expansion zones Momentum stretch zones Extreme deviation zones where the model is more likely to be challenged 4) Projected cross confluence (vertical lines) Vertical confluence lines mark where the projected MA4 and projected MA4 would intersect (bull / bear). These are intended as forward structure landmarks, not trade signals. 5) Alerts (optional) Alerts can be enabled for breaches of the projected deviation envelope: Band 3 breach: momentum stretch / extension Band 4 breach: extreme deviation / model challenged (“invalidation” zone) Wicks or closes can be used for the breach check depending on preference. 6) Table (optional) A compact table summarizes: MA values alignment status The most recent cross context (BUY/SELL labeling here is informational labeling of the MA cross state, not a guarantee of performance) How to use (practical workflow) Set the market + timeframe first Choose the symbol and timeframe you trade. This tool is designed to be tuned. Adjust the pattern window “Pattern Start/End (bars back)” controls what historical sample is used. Different assets/timeframes respond best to different windows. Toggle projection + confluence lines If projection landmarks add clarity, keep them on. If you want a cleaner chart, toggle them off. Use bands as context Movement inside the inner bands often reflects more typical expansion. Band 3/4 areas represent progressively more stretched conditions. Use alerts as notifications, not commands Alerts are best used as “check the chart” prompts rather than auto-trade triggers. Notes & disclaimers (Publishing-safe) This script is intended for analysis and decision support. It does not execute trades and does not guarantee outcomes. Projections and envelopes are models and can be exceeded or invalidated by volatility. Always use risk management and confirm with your own framework. Change log (recommended) v2 (Interactive Upgrade): Added user controls for projection window and visualization Added/expanded optional confluence markers, alerts, and presentation settings Improved transparency and tunability across symbols/timeframes This version is the recommended upgrade to the original release: same concept, more user control, clearer documentation, and better adaptability across markets.
Indicatore Pine Script®
di Dinjin
Aggro-15min Pro V4.2 [SMA200 + Vortex] (v6 Ready)🚀 Aggro-15min Pro Aggro-15min Pro is a professional-grade algorithmic strategy optimized for the 15-minute timeframe. It combines structural trend analysis with aggressive momentum tracking to capture high-probability swings while filtering out market noise. 🛠️ How the Strategy Works 1. Structural Trend (The "Guardrail") 200 SMA: The strategy identifies the primary market direction. It only buys above the 200 SMA and only sells below it, ensuring you stay on the side of institutional flow. 2. Execution Trigger (The "Signal") EMA Cross (9/50): A crossover of the 9-period Fast EMA and 50-period Slow EMA triggers the entry, identifying a confirmed shift in medium-term momentum. 3. Momentum Engine (The "Vortex") Vortex Indicator (VI): Validates the "thrust" behind the move. Dynamic Exit: Includes a "Vortex Reverse" logic that closes trades early if the directional energy fades, preserving capital before a full reversal occurs. 4. Risk & Volatility ADX Filter: Prevents entries during low-volatility "sideways" periods. ATR Risk Management: Uses the Average True Range to set dynamic Stop Loss and Take Profit levels that adapt to current market volatility. - - # 📂 STRATEGY PACKAGE: AGGRO-15MIN PRO **Version:** 4.2 (Pine Script v6 Ready) **Asset Class:** Crypto, Forex, Indices **Timeframe:** 15 Minutes --- ## 📘 1. OPERATIONS MANUAL (English) ### 🟢 Strategy Overview Aggro-15min Pro is a momentum-based trend-following system. It uses a "Triple-Filter" logic to ensure that trades are only taken when long-term trend, medium-term momentum, and short-term volatility are perfectly aligned. ### 🟢 Technical Indicators Setup * **Structural Filter:** 200-period Simple Moving Average (SMA). * **Trigger Engine:** 9-period & 50-period Exponential Moving Averages (EMA). * **Momentum Engine:** 14-period Vortex Indicator (VI). * **Strength Filter:** 14-period Average Directional Index (ADX). * **Volatility/Exits:** 14-period Average True Range (ATR). ### 🟢 Entry Checklist #### LONG Position: 1. **Trend:** Price is **ABOVE** the 200 SMA. 2. **Trigger:** 9 EMA crosses **ABOVE** the 50 EMA. 3. **Vortex:** VIP (Positive) is **ABOVE** VIM (Negative). 4. **Strength:** ADX is **ABOVE** 20. #### SHORT Position: 1. **Trend:** Price is **BELOW** the 200 SMA. 2. **Trigger:** 9 EMA crosses **BELOW** the 50 EMA. 3. **Vortex:** VIM (Negative) is **ABOVE** VIP (Positive). 4. **Strength:** ADX is **ABOVE** 20. ### 🟢 Exit Management * **Take Profit (TP):** $3.0 \times ATR$ (Risk/Reward 1:2). * **Stop Loss (SL):** $1.5 \times ATR$. * **Dynamic Exit:** If the Vortex lines cross in the opposite direction (e.g., VIM > VIP during a Long), the strategy closes the position immediately to lock in profits or minimize loss. ---
Strategia Pine Script®
di CryptoZoso
Pulsar Heatmap CVD/OBV [by Oberlunar]Pulsar Heatmap CVD/OBV is a flow/price-consensus dashboard that turns OBV, CVD and their combination blend into a compact “heatmap + bias/signal” view, with optional main-chart candle coloring and HUD overlays. What it shows The panel is split into 3 horizontal lanes (OBV / CVD / COMBO). Each lane is further split into two halves: Flow half: the normalized OBV/CVD/COMBO component (either per-bar Delta or Cumulative series). PriceΔ half: the normalized divergence between price and the lane (price unit − flow unit), highlighting when price moves with or against the flow proxy. Colors use intensity-based transparency so you can quickly spot pressure, compression, and disagreement between lanes. Core engines Normalization: Z-Score→tanh, Z-Score→clamp, MinMax, or None (unit range ≈ ). Bias engine (6 halves): builds a directional BIAS from the six components (OBV/CVD/COMBO × Flow/PriceΔ), with optional hysteresis to reduce flicker. Signal engine: triggers LONG/SHORT only on full alignment (all 6 halves agree), with confirm-bars and optional sticky behavior. ROC/Acceleration layers: optional impulse context (ROC + ACC) to gate signals and/or boost bias strength when momentum is supportive. AST filter: a strict directional filter combining volatility regime, BB expansion/contraction, MTF RSI prior and Kalman-smoothed evidence. When AST is directional, it can block opposite signals to enforce coherence. Visual tools Bias/Signal bands: top/bottom bands render BIAS strength and SIGNAL state; yellow highlights indicate disagreement/blocked states. Candle colouring (main chart): optionally colours chart candles from LaneScore / Bias / Signal / Bias+Signal (uses overlay drawing where supported). Signal labels: optional LONG/SHORT markers (with “better price than last shown” logic). Triangle HUD: right-side geometric HUD summarising OBV/CVD/COMBO consensus + disagreement cues. Timed Exhaustion / Absorption table: compact state machine that flags momentum exhaustion and absorption-like conditions using tight range + ROC/ACC behaviour. How to use Start with Lane data = Delta for faster microstructure timing; switch to Cumulative for macro context. Choose a normalisation that fits your symbol’s volatility (ZScore→tanh is usually stable). Read BIAS as the current dominant direction/strength; treat SIGNAL as the strict “all lanes aligned” confirmation. If you want stricter coherence, keep the AST filter enabled (it is integrated by design and blocks opposite-direction signals when directional). Setup 1 — Long Signal (Clean Alignment + Impulse) In this example, Pulsar Heatmap transitions into a clear long setup when the system prints a LONG SIGNAL. The key idea is simple: the indicator does not enter on “bias” alone. It waits for full alignment across the internal lanes, optionally reinforced by the ROC/Acceleration impulse layer, and only then does it confirm a signal on a closed bar (Safe Mode) Setup 2 — Short Signal After Compression (Absorption → Release) In this screenshot, the short trade idea is not coming from “red candles” alone, but from a very specific sequence: the heatmap shows a shift into bearish alignment, the system prints a SHORT SIGNAL, and the timed module confirms that the market was in a tight range while sell pressure started to dominate. Setup 3 — Neutral State (Stand-By Zone, No Trade Yet) In the following screenshot, Pulsar Heatmap is doing something very important: it is clearly saying NEUTRAL 0%. Even if, visually, price could “look” like it might resume upward, the indicator is not providing a directional edge yet. If you are already short, treat DISAGREE as a signal to take profit, tighten the stop, or scale out. Setup 4 — When similar conditions return Setup 4 — Impulse + Exhaustion conditions In this screenshot, you’re basically seeing a “timing warning” configuration. Price prints a sharp bearish extension, but Pulsar Heatmap is not presenting it as a clean continuation setup: the center read is NEUTRAL 0%, while the timed engine shows both Absorption = SHORT and Exhaustion = SHORT. That combination often means: the downside pressure was real, but the move is already in a late/fragile phase (good for managing an existing short, not for opening a new one). This tool uses available volume data from your data provider and approximates flow via OBV/CVD-style logic; results can differ across symbols/brokers and sessions. This script is for educational/analytical purposes and is not financial advice. by Oberlunar 👁️ ⭐
Indicatore Pine Script®
di oberlunar_tr
EDUVEST Lorentzian ClassificationEDUVEST Lorentzian Classification - Machine Learning Signal Detection ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ ORIGINALITY This indicator enhances the original Lorentzian Classification concept by jdehorty with EduVest's visual modifications and alert system integration. The core innovation is using Lorentzian distance instead of Euclidean distance for k-NN classification, providing more robust pattern recognition in financial markets. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ WHAT IT DOES - Generates BUY/SELL signals using machine learning classification - Displays kernel regression estimate for trend visualization - Shows prediction values on each bar - Provides trade statistics (Win Rate, W/L Ratio) - Includes multiple filter options (Volatility, Regime, ADX, EMA, SMA) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW IT WORKS 【Lorentzian Distance Calculation】 Unlike Euclidean distance, Lorentzian distance uses logarithmic transformation: d = Σ log(1 + |xi - yi|) This provides: - Better handling of outliers - More stable distance measurements - Reduced sensitivity to extreme values 【Feature Engineering】 The classifier uses up to 5 configurable features: - RSI (Relative Strength Index) - WT (WaveTrend) - CCI (Commodity Channel Index) - ADX (Average Directional Index) Each feature is normalized using the n_rsi, n_wt, n_cci, or n_adx functions. 【k-Nearest Neighbors Classification】 1. Calculate Lorentzian distance between current bar and historical bars 2. Find k nearest neighbors (default: 8) 3. Sum predictions from neighbors 4. Generate signal based on prediction sum (>0 = Long, <0 = Short) 【Kernel Regression】 Uses Rational Quadratic kernel for smooth trend estimation: - Lookback Window: 8 - Relative Weighting: 8 - Regression Level: 25 【Filters】 - Volatility Filter: Filters signals during extreme volatility - Regime Filter: Identifies market regime using threshold - ADX Filter: Confirms trend strength - EMA/SMA Filter: Trend direction confirmation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ HOW TO USE 【Recommended Settings】 - Timeframe: 15M, 1H, 4H, Daily - Neighbors Count: 8 (default) - Feature Count: 5 for comprehensive analysis 【Signal Interpretation】 - Green BUY label: Long entry signal - Red SELL label: Short entry signal - Bar colors: Green (bullish) / Red (bearish) prediction strength 【Trade Statistics Panel】 - Winrate: Historical win percentage - Trades: Total (Wins|Losses) - WL Ratio: Win/Loss ratio - Early Signal Flips: Premature signal changes 【Filter Recommendations】 - Enable Volatility Filter for ranging markets - Enable Regime Filter for trend confirmation - Use EMA Filter (200) for higher timeframes ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ █ CREDITS Original Lorentzian Classification concept and MLExtensions library by jdehorty. Enhanced with visual modifications and alert integration by EduVest. License: Mozilla Public License 2.0
Indicatore Pine Script®
di EduVest_doro