Indicatori e strategie
Swing High Low ZigZag v3.0 BajaSwing High/Low Pivot - Designed to help easily spot peaks and bottoms for quicker drawing of trendlines and other drawings as well as alerts without needing to zoom in a whole lot.
X ATM Option Ladder FlowX ATM Option Ladder Flow is a specialized options-market visualization tool designed for intraday tracking of at-the-money (ATM) option volume flow in index ETFs such as QQQ and SPY.
The script dynamically identifies the ATM contract on every bar and plots real-time call-versus-put volume distributions and marker to represent if the volume corresponded with the price of the option going up or down.
By analyzing volume and direction data from multiple strikes within an ±8-point range, the indicator produces a real-time histogram that reflects how order flow evolves relative to the underlying price.
Complementary status tables display the active strike, ladder position, and warnings when the underlying moves outside the monitored range.
Core Features
Dynamic ATM selection – Each bar automatically maps to the option contract closest to the underlying’s price.
Bidirectional volume comparison – Visual separation of call and put volume, with “up” markers highlighting contracts trading above their prior close.
Multi-strike ladder analysis – Samples strikes ±8 points from the defined center to capture flow skew and momentum near the money.
Optimized data calls – Uses tuple requests to minimize request.security() load, enabling a deeper ladder within TradingView limits.
Session awareness – Restricts processing to the 9:30 AM – 4:15 PM ET option-trading window.
Status dashboard – Displays date, active strike, warning flags (“⚠︎ / •outside”), and ladder parameters directly on chart.
Use Case
The indicator is intended for intraday traders and options-flow analysts who want to visualize how short-term liquidity and sentiment migrate across the ATM region as the underlying moves. Typical applications include:
Monitoring real-time call/put volume balance to confirm directional momentum or detect absorption zones.
Identifying volatility clustering near the money—where hedging pressure or gamma concentration can influence underlying price stability.
Detecting when price exits the monitored ladder (⚠︎ / •outside), signaling a potential shift to a new dominant option band or requiring manual recentering.
Integrating option flow into broader futures or ETF bias models (e.g., NQ/ES alignment or QQQ/SPY flow confirmation).
Technical Notes
Static-center architecture ensures historical consistency: prior bars remain fixed even after re-centering.
Ladder depth is hard-coded to ±8, the maximum possible within TradingView’s security-call limits.
auto_nudge is enabled to smoothly align the selected lane with the active ATM without requiring user intervention.
Indicator is optimized for 1-minute to 5-minute charts; use overlay = false to preserve scale clarity.
Engulfing Patternengulfing pattern detector by identifying perfect and qm engulfing pattern specifically on the 30m timeframe. this indicator provides the bias for intraday trades.
Multi-Timeframe RSI + MA - Santosh - BangaloreThis script has a combined 5 and 15 min RSI's together in one indicator. Created using AI.
ZOBAKAFXAI – Price Action Swing SetupThe ZOBAKAFXAI Price Action Swing Setup is a swing trading indicator that helps traders identify clear market structure, trend direction, and potential entry/exit zones using EMA and pivot-based price action.
🔹 Features:
✅ Automatically detects swing highs & swing lows (market structure)
✅ EMA-based trend direction filter (EMA50 / EMA200)
✅ Higher timeframe trend filter option (4H bias on lower TFs)
✅ ATR-based Stop Loss & TP calculation
✅ TP1 / TP2 / TP3 based on Risk-to-Reward ratio
✅ Works on all pairs – Forex, Gold, Crypto, Indices
✅ Clean design – ideal for 4H swing trading
🔹 How to Use:
Trade in the direction of the EMA trend
Buy when price forms a higher low above EMA & breaks previous swing high
Sell when price forms a lower high below EMA & breaks previous swing low
Stop Loss = ATR × selected multiplier
TP levels are auto-calculated based on Risk/Reward (2R, 3R, etc.)
⚠ Disclaimer:
This script is for educational and technical analysis purposes only. It is not financial advice. Always use risk management.
ICMR — Chrono Maker Range (v12.7.1)✅ ICMR — Chrono Maker Range (v12.7) — Description (Balanced Technical + Friendly)
ICMR — Chrono Maker Range is a hybrid market-structure tool designed to help traders clearly identify directional bias and high-quality breakouts using either Higher-Timeframe (HTF) ranges or Initial Balance (IB) ranges. The indicator automatically builds the range, colors candles by market state, and highlights breakout signals using smart filters to reduce noise.
The concept is simple:
Price is either above the range (Bullish), inside the range (Neutral), or below the range (Bearish)—and ICMR keeps this state stable and easy to follow.
🔷 How It Works
ICMR constructs a tradable range using one of two modes:
1) HTF Range Mode
Pulls the High / Low from a higher timeframe (e.g., Daily, 4H).
You can choose:
Previous HTF candle → stable, non-moving range
Current HTF candle → dynamic, expands until HTF close
Perfect for tracking market bias across smaller timeframes.
2) Initial Balance (IB) Mode
Builds the range from the first N minutes of the session (e.g., first 60 minutes).
After the IB period ends, the range locks and becomes the day’s framework.
🔷 Market State Logic
The indicator evaluates where price is relative to the range and classifies the market into:
✅ Bullish → price breaks above the range
⚪ Neutral → price stays inside
❌ Bearish → price breaks below
You can optionally enable an EMA Trend Filter (fast vs slow EMA) to ensure breakouts align with trend direction.
🔷 Smart Signal System
ICMR includes compact signal shapes (triangles/circles), but only when conditions are strong:
✔️ Minimum breakout distance beyond the range
✔️ Candle body must exceed a % of ATR
✔️ Optional volume expansion filter
✔️ Cooldown between signals to avoid over-trading
✔️ Option to trigger signals only on state flips
These filters help keep signals actionable and reduce noise.
🔷 Visual Tools
HTF/IB Range High, Range Low, Midline
Optional shaded box
Segmented extend-right lines that reset when HTF/IB changes
Bar coloring (Bull/Neutral/Bear)
Soft background tint (optional)
Built-in info panel with range & filter stats
Alerts on state flips
Everything is designed to keep the chart clean and readable.
🔷 Presets
The indicator includes two ready-to-use profiles:
Conservative
Stable HTF ranges, confirmed breaks, trend-filtered signals, and fewer alerts.
Aggressive
Dynamic HTF ranges, more flexible break rules, and more frequent signals.
Each preset can be fully customized.
🔷 How Traders Use It
Intraday traders use HTF ranges (D, 4H) for bias on 1m–15m charts.
Day traders use IB to track the opening range and breakout opportunities.
Swing traders use conservative settings to filter false moves.
Scalpers enable aggressive mode with ATR/volume filters.
Time Range HighlighterThis indicator highlights up to two custom time ranges on your chart with fully adjustable settings:
🔧 Features:
Define two separate time sessions
Set custom start and end times (in any time zone)
Choose unique highlight colors and opacity for each session
Toggle each range on or off independently
Timezone input allows syncing sessions to any global market hours (e.g., UTC, Asia/Tehran, New York)
🕒 Example Use Cases:
Highlight market opening hours (e.g. NYSE: 0930–1600)
Track your personal trading hours or peak volatility sessions
Visualize specific algorithm time filters
📌 Usage:
Enter your desired timezone string (e.g., "Asia/Tehran" or "Etc/UTC")
Customize session times like "0930-1200" and "1500-1700"
Adjust colors and visibility to fit your strategy
Ideal for traders who rely on time-based setups or session overlays.
24h Change Shows TF‑independent 24‑hour % change in the status line. The value is computed strictly on fixed 1‑minute data—last confirmed 1m close vs. the 1m close 1,440 minutes earlier—so changing chart timeframes does not affect the result. Updates once per minute; for best parity with an exchange, use the matching symbol/price type (Last vs. Mark/Index) and ensure ≥1,440 minutes of history.
EMA + RSI Autotrade Webhook - VarunOverview
The EMA + RSI Autotrade Webhook is a powerful trend-following indicator designed for automated crypto futures trading. This indicator combines the reliability of Exponential Moving Average (EMA) crossovers with RSI momentum filtering to generate high-probability buy and sell signals optimized for webhook integration with crypto exchanges like Delta Exchange, Binance Futures, and Bybit.Key Features
Simple & Effective: Uses proven EMA 9/21 crossover strategy
RSI Momentum Filter: Eliminates low-probability trades in ranging markets
Webhook Ready: Two clean alerts (LONG Entry, SHORT Entry) for seamless automation
Exchange Compatible: Works with Delta Exchange, 3Commas, Alertatron, and other webhook platforms
Zero Lag Signals: Real-time alerts on crossover confirmation
Visual Clarity: Clean chart markers for easy signal identification
How It Works
Entry Signals:
LONG Entry: Triggers when EMA 9 crosses above EMA 21 AND RSI is above 52 (bullish momentum confirmed)
SHORT Entry: Triggers when EMA 9 crosses under EMA 21 AND RSI is below 48 (bearish momentum confirmed)
Technical Components:
Fast EMA: 9-period (tracks short-term price action)
Slow EMA: 21-period (identifies primary trend)
RSI: 14-period (confirms momentum strength)
RSI Long Threshold: 52 (filters weak bullish signals)
RSI Short Threshold: 48 (filters weak bearish signals)
Best Use Cases
Crypto Futures Trading: Bitcoin, Ethereum, Altcoin perpetual contracts
Automated Trading Bots: Integration with Delta Exchange webhooks, TradingView alerts
Timeframes: Optimized for 15-minute charts (works on 5min-1H)
Markets: Trending crypto markets with clear directional moves
Risk Management: Best used with 1-2% stop loss per trade (managed externally)
Webhook Automation Setup
Add indicator to your TradingView chart
Create alerts for "LONG Entry" and "SHORT Entry"
Configure webhook URL from your exchange (Delta Exchange, Binance, etc.)
Use alert message: Entry LONG {{ticker}} @ {{close}} or Entry SHORT {{ticker}} @ {{close}}
Exchange automatically reverses positions on opposite signals
Advantages
✅ No manual trading required - fully automated
✅ Eliminates emotional trading decisions
✅ Catches trending moves early with EMA crossovers
✅ RSI filter reduces whipsaws in choppy markets
✅ Works 24/7 without monitoring
✅ Simple two-alert system (easy to manage)
✅ Compatible with multiple exchanges via webhooksStrategy Philosophy
This indicator follows a trend-following with momentum confirmation approach. By waiting for both EMA crossover AND RSI confirmation, it ensures you're entering trades with genuine momentum behind them, not just random price noise. The tight RSI thresholds (52/48) keep you aligned with the prevailing trend.Recommended Settings
Timeframe: 15-minute (primary), 5-minute (scalping), 1-hour (swing)
Markets: BTC/USDT, ETH/USDT, high-liquidity altcoin perpetuals
Position Sizing: 100% capital per signal (exchange manages reversals)
Stop Loss: 2% (managed via exchange or external bot)
Leverage: 1-2x for conservative approach, up to 5x for aggressive
Important Notes
⚠️ This indicator generates entry signals only - position reversals are handled automatically by your exchange
⚠️ Always backtest on historical data before live trading
⚠️ Use proper risk management and position sizing
⚠️ Best performance in trending markets; may generate false signals in tight ranges
⚠️ Requires TradingView Premium or higher for webhook functionalityTags
cryptocurrency futures automated-trading ema-crossover rsi webhook delta-exchange tradingview-alerts trend-following momentum bitcoin ethereum crypto-bot algo-trading 15-minute-strategy
Market Sessions — VerticalA clean visual guide to global market sessions.
This indicator plots vertical lines at the opening and closing times of the four major forex sessions:
London, New York, Tokyo, and Sydney.
Fully customizable — toggle each session on/off, choose separate colors for open/close, and enable/disable labels.
Supports both Local (auto-DST) and GMT (fixed) modes — switch between realistic market-clock times or the standardized UTC schedule used by most trading resources.
Helps you visually identify session overlaps (e.g., London–New York) where volatility typically increases.
Ideal for forex, indices, and commodities traders who trade around session opens.
Default session times (GMT mode):
Sydney 21:00 – 06:00 GMT
Tokyo 00:00 – 09:00 GMT
London 08:00 – 17:00 GMT
New York 13:00 – 22:00 GMT
Tip: Set Anchor times by → Local (auto-DST) if you want the lines to follow each region’s real-world daylight-saving adjustments automatically.
Clean, lightweight, and built for traders who want precise, minimal clutter — just the key time windows that move the market.
ETH Short-Term VWAP+EMA/RSI (ATR Risk, <1h) (James Logan)ETH Short-Term VWAP + EMA / RSI Strategy (ATR-based Risk Control)
A short-term (< 1 hour) ETH trading system designed for intraday scalps and momentum swings on 5- to 15-minute charts.
It blends trend confirmation (EMA 50 / 200) with intrabar structure (EMA 21 pullback & VWAP filter) and RSI momentum triggers, managing exits dynamically through ATR-based stop, take-profit, and trailing stop targets.
Core logic
• Long when RSI crosses above the threshold within an up-trend (EMA 50 > EMA 200) and price is above VWAP.
• Short when RSI crosses below threshold within a down-trend (EMA 50 < EMA 200) and price is below VWAP.
• Optional pullback confirmation to the 21-EMA for cleaner entries.
• Risk defined by ATR-multiples for stop-loss, take-profit, and an adaptive trailing stop.
• Automatic flat-out exit after a set number of bars (time-based close).
Best use
• 5 min – 15 min ETH/USDT charts (Binance, Bybit, Coinbase, etc.)
• Works with both spot and perpetual data.
• Tune ATR and RSI thresholds per venue; defaults are balanced for 0.05 % per-side fees.
Key parameters
• ATR SL × 1.6 ATR TP × 2.2 ATR Trail × 2.0
• RSI 50 cross | EMA 50/200 trend filter | VWAP confirmation
• Default position sizing = USD-based (e.g. $1 000 per trade).
Notes
• All orders and exits are simulated at bar close; use 1-minute bar magnifier for finer fill modeling.
• No repainting—uses only confirmed bar data.
• Best validated with ≥ 200 trades and profit factor > 1.25 over multi-month backtests.
Current State: Overbought/Oversold + Trend KAPIL GOYALThis Pine Script calculates the RSI (Relative Strength Index) and compares it against preset thresholds to classify the market as Deep/Moderate/Mild Oversold or Deep/Moderate/Mild Overbought. It also checks whether the current price is above or below the 50-day moving average to define the trend as Uptrend or Downtrend. The script then combines both signals into one clean, real-time text output—like “Moderate Oversold + Uptrend”—displayed in a small table at the chart corner. It’s designed to give a quick, clutter-free snapshot of the current market state without plotting multiple indicators.
How to use:
Apply this indicator to any chart (e.g., Tesla on TradingView). It will show one line of text describing the current condition based on RSI and trend. Use it for quick decision cues:
“Oversold + Uptrend” suggests potential accumulation or rebound zones.
“Overbought + Downtrend” warns of exhaustion or profit-taking zones.
Combine it with your entry/exit strategy—like your 30DMA/50DMA rule or momentum filters—to confirm timing rather than act alone.
Final Scalping Strategy - RELAXED ENTRY, jangan gopoh braderEMA Scalping System (MTF) Guide (1HR direction, 15 min entry)
Objective
To capture small, consistent profits by entering trades when 15-minute momentum aligns with the 1-hour trend.
Trades are executed only during high-liquidity London and New York sessions to increase the probability of execution and success.
Strategy Setup
Chart Timeframe (Execution): 15-Minute (M15).
Trend Filter (HTF): 1-Hour (H1) chart data is used for the long-term EMA.
Long-Term Trend Filter: 50-Period EMA (based on H1 data).
Short-Term Momentum Signal: 20-Period EMA (based on M15 data).
Risk
Metric: 14-period ATR for dynamic Stop Loss calculation.
✅ Trading Rules🟢
Long (Buy) Entry Conditions
Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions.
HTF Trend: Current price must be above the 1-Hour EMA 50.
Momentum Signal: Price crosses above the 15-Minute EMA 20.
Confirmation: The bar immediately following the crossover must close above the 15-Minute EMA 20.
Ent
ry: A market order is executed on the close of the confirmation candle.
🔴 Short (Sell) Entry Conditions
Session: Must be within the London (0800-1700 GMT) or New York (1300-2200 GMT) sessions.
HTF Trend: Current price must be below the 1-Hour EMA 50.
Momentum Signal: Price crosses below the 15-Minute EMA 20.
Confirmation: The bar immediately following the crossover must close below the 15-Minute EMA 20.
Entry: A market order is executed on the close of the confirmation candle.
🛑 Trade Management & Exits
Stop Loss (SL): Placed dynamically at 2.0 times the 14-period ATR distance from the entry candle's low (for Buys) or high (for Sells).
Take Profit (TP): Placed dynamically to achieve a 1.5 Risk-Reward Ratio (RR) (TP distance = 1.5 x SL d
istance).
📊 On-Chart Visuals
Detailed Labels: A box appears on the entry bar showing the action, SL/TP prices, Risk/Reward in Pips, and the exact R:R ratio.
Horizontal Lines: Dashed lines display the calculated SL (Red) and TP (Green) levels while the trade is active.
Background: The chart background is shaded to highlight the active London and New York tradi
ng sessions.
SmartMA(EN)
## **SmartMA v1.2: Technical Specification & Integration Guide**
### 1\. Overview & Philosophy
**SmartMA v1.2** is a professional-grade Pine Script library designed to replace static, lagging indicators (like EMA, SMA, ATR) with dynamic, context-aware engines.
The core philosophy is that a trading system's "baseline" (its sense of value) and "sigma" (its sense of risk) should not be fixed. They should adapt in real-time to changes in market structure, volume, flow, and regime.
This library is a **pure logic engine**. It provides no plots or inputs. It is intended to be imported into a sophisticated "super-indicator" (like your `X Ω` system) to serve as its core processor for value and risk.
### 2\. Core Concepts
Before using the main functions, understand these foundational components:
* **`robust_price()`:** This is the recommended price source for all calculations. It replaces `close` or `hlc3`. It is a 70/30 blend of `hlc3` (for smoothness) and a "body-weighted close" (which prioritizes the candle's body and discounts noisy wicks/dojis). **Use this as the `src` for all MAs.**
* **Rate-Limiting:** All adaptive sigmas (`avs`, `qvs`) and advanced MAs (`ava_plus`, `wva`) are "rate-limited." This means they cannot jump more than a small fraction of the ATR in a single bar, ensuring an extremely smooth and stable output, free of jerky movements.
* **Context-Awareness:** The "plus" (`+`) and advanced functions (`wva`, `aria`) are designed to be "slaved" to your main system. They accept signals like `hazard01`, `fit01`, and `squeeze01` as inputs to dynamically alter their own behavior.
-----
### 3\. ⚙️ Module Analysis & How-To Guide
This library is best understood in four parts: Baselines (MAs), Volatility (Sigmas), Regime (Context), and VWAP (Utilities).
#### \#\# 3.1. Adaptive Baselines (MA Replacements)
These functions replace `ta.ema` or `ta.sma` to provide a dynamic, intelligent "moving average" that acts as your core value baseline.
##### \#\#\# `ava()` / `ava_plus()` (Adaptive Volume Average)
* **Purpose:** The primary replacement for `EMA` or `VWMA`.
* **Logic:** Intelligently blends `EMA` (price-driven) and `VWMA` (volume-driven). It gives more weight to `VWMA` during high "conviction" (strong candle bodies, high volume) and reverts to `EMA` in low-volume, uncertain markets.
* **How to Use `ava_plus` (Recommended):** This is the context-aware version. It accepts `hazard01` and `squeeze01` (from your `X Ω` EWS and Compression blocks).
* `float base = SmartMA.ava_plus(20, EWS_envHazard01, CP_squeeze01, "rob")`
* **Result:** When hazard or squeeze is high, `ava_plus` *reduces* its adaptive logic and defaults toward a simple, "safe" `EMA`, preventing erratic signals in high-risk environments.
##### \#\#\# `aria()` (Adaptive Regime & Intent Average)
* **Purpose:** A "top-down" regime-aware baseline. It is a lighter, more elegant alternative to `WVA`.
* **Logic:** `aria` blends three MAs based on the market's "big picture":
1. `ZLEMA` (Fast): Prioritized when `fit01` (trend quality) is high.
2. `EMA` (Slow): Prioritized when `hazard01` (risk) is high.
3. `AVA` (Core): Used as the default.
* **How to Use:** This is an *ideal* baseline for `X Ω`. Feed it the final outputs from your Analyst and EWS blocks.
* `float baseline = SmartMA.aria(20, ANL_fit01_out, EWS_envHazard01, ANL_biasPM1_out)`
* **Result:** The baseline automatically becomes faster in good trends, slower in risky markets, and even "tilts" slightly in the direction of your system's `bias` (intent).
##### \#\#\# `wva()` / `wva_plus()` (Whale-flow Adaptive Average)
* **Purpose:** The "ultimate" baseline. This is the most comprehensive, data-driven MA in the suite.
* **Logic:** `wva_plus` is a multi-scale MA that synthesizes 12 context signals (whale flow, absorption, imbalance, hazard, etc.) AND is anchored to **two distinct, user-defined events**. It uses "consensus" (max of up/down pressure) to drive its adaptive speed.
* **How to Use:** This function is *perfectly* designed to be the "central brain" for `X Ω`'s "senses." You connect your `X Ω` blocks directly to its parameters.
> **Example: Creating a Master Baseline**
> `// 1. Define your two anchors (e.g., 2022 Low and 2023 Q4 Low)`
> `bool anchor_L_2022 = (year == 2022 and month == 11 and dayofmonth == 16)`
> `bool anchor_L_2023 = (year == 2023 and month == 11 and dayofmonth == 1)`
> `// 2. Feed X Ω signals directly into wva_plus`
> `float master_baseline = SmartMA.wva_plus(20,`
> ` whale01 = WH2_score01, // from Block 11`
> ` absorbTop01 = FE_absorbTop01, // from Block 6`
> ` absorbBot01 = FE_absorbBot01, // from Block 6`
> ` imbUp01 = IMB_imbalanceUp01, // from Block 8`
> ` imbDn01 = IMB_imbalanceDn01, // from Block 8`
> ` easeUp01 = LM_easeUp01_out, // from Block 9`
> ` easeDn01 = LM_easeDn01_out, // from Block 9`
> ` hazard01 = EWS_envHazard01, // from Block 13`
> ` breadth01 = FE_miScore01, // from Block 4`
> ` squeeze01 = CP_squeeze01, // from Block 10`
> ` anchor1 = anchor_L_2022,`
> ` slot1 = 1,`
> ` anchor2 = anchor_L_2023,`
> ` slot2 = 2`
> `)`
* **Result:** You get a single baseline that reflects multi-scale price, volume, flow, imbalance, *and* is anchored to two critical historical events.
-----
#### \#\# 3.2. Adaptive Volatility (Sigma Replacements)
These functions replace `ta.atr` to provide a dynamic, smoother, and more robust measure of risk (sigma).
##### \#\#\# `avs()` / `avs_plus()` (Adaptive Volatility Sigma)
* **Purpose:** The primary replacement for `ta.atr`.
* **Logic:** Blends `ATR` (which is good at capturing overnight gaps) with statistical OHLC estimators (Garman-Klass by default) for a more accurate measure of intra-bar volatility. It is heavily smoothed and rate-limited.
* **How to Use `avs_plus`:** This is the context-aware version. Feed it the `hazard01` signal from your `X Ω` EWS block.
* `float risk_sigma = SmartMA.avs_plus(14, hazard01=EWS_envHazard01)`
* **Result:** Your risk bands (`VZA`) will *automatically* widen during high-hazard periods.
##### \#\#\# `qvs()` (Quantile Volatility Sigma)
* **Purpose:** A **more robust** alternative to `AVS`. Highly recommended.
* **Logic:** `AVS` and `ATR` are based on an *average*, which is highly sensitive to one-off, extreme outlier wicks (e.g., a "flash crash" wick). `QVS` is based on **quantiles** (percentiles). It measures the volatility level that (e.g.) 90% of recent bars fall *below*.
* **How to Use:** Use this for your "must-hold" stop-loss bands.
* `float robust_sigma = SmartMA.qvs(20, 0.90, "mix")`
* **Result:** A "real-world" sigma that is immune to outliers and provides a much more stable band for risk management.
##### \#\#\# `avs_asym_ex()` (Extended Asymmetric Sigma)
* **Purpose:** Creates dynamic, asymmetric risk bands (channels).
* **Logic:** This is a brilliant integration point. It takes the `avs` (or `qvs`) sigma and creates two different bands (` `) that are "tilted" by:
1. `biasPM1`: Your system's directional intent (from `X Ω`'s Analyst block).
2. `easeUp01` / `easeDn01`: The "Line of Least Resistance" (from `X Ω`'s S/R block).
* **How to Use:**
* ` = SmartMA.avs_asym_ex(14, ANL_biasPM1_out, LM_easeUp01_out, LM_easeDn01_out, "qvs")`
* ` = SmartMA.vza_asym(master_baseline, sigmaUp, sigmaDn, 1.5, 1.5)`
* **Result:** A channel that *automatically widens* in the direction of the trend, and widens *even more* if it's moving into an area of low S/R (high "ease"). It gives a strong trend "room to run."
-----
#### \#\# 3.3. Regime & Drift (Context Engines)
These functions are not MAs themselves, but rather engines to *drive* other MAs.
##### \#\#\# `fia()` (Fit Integrator)
* **Purpose:** Provides a single "regime" score (0-1) answering, "How good is this trend quality?"
* **Logic:** Blends `R²` (linearity), `ADX` (strength), and the **Hurst Exponent** (persistence/memory). A high score means the trend is strong, linear, and *likely to continue* (H \> 0.5).
* **How to Use:** This is the *primary input* for `dfa()` and `aria()`.
* `float fit_score = SmartMA.fia(14, 20)`
##### \#\#\# `dfa()` (Drift & Fit Average)
* **Purpose:** The replacement for `ta.linreg_slope`. It calculates the "fit-aware" velocity of price.
* **Logic:** It blends the slope of `ZLEMA` (fast, low-lag) with the slope of `ta.linreg` (smooth, stable). It uses the `fit_score` from `fia()` to decide the blend.
* **How to Use:** Use this to power your `X Ω` "Forecast Core" (Block 21).
* `float forecast_drift = SmartMA.dfa(robust_price(), 20, fit_score)`
* **Result:** Your forecast will automatically accelerate in high-quality trends and slow down/stabilize in choppy, low-fit markets.
-----
### 4\. Quick API Reference (Key Exports)
* `robust_price()`: Use as your `src`.
* `ava(len, profile)`: Simple adaptive volume MA.
* `ava_plus(len, hazard01, squeeze01, profile)`: `ava` gated by risk.
* `avs(len, method, wATR)`: `ATR` replacement (smooth, blended).
* `avs_plus(len, ..., hazard01)`: `avs` gated by risk.
* `qvs(len, quantile, mode)`: Robust, quantile-based `ATR` replacement (Recommended).
* `avs_asym_ex(len, biasPM1, easeUp01, easeDn01, base, ...)`: Asymmetric bands driven by bias and S/R.
* `fia(lenS, lenL)`: Regime/Fit score 0-1 (R², ADX, Hurst).
* `dfa(src, len, fit01)`: "Fit-aware" slope/drift.
* `aria(len, fit01, hazard01, biasPM1, profile)`: Top-down, regime-aware baseline.
* `wva_plus(len, , anchor1, slot1, anchor2, slot2, profile)`: The "ultimate" dual-anchor, context-aware baseline.
-----
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD. A combination of three indicators. The important thing is that they have a BUY or SELL alert, so it makes it easy to understand the numbers.
X62 Stock Rating Tool股票评分系统
功能概述
这是一个自定义的股票综合评分系统,允许用户从基本面和技术面两个维度对股票进行评分。系统支持灵活的权重配置和项目自定义,并可根据需要选择显示不同类型的评分。
主要特性
· 分离显示选项 - 可选择单独显示基本面、技术面或综合评分
· 可自定义项目 - 6个基本面项目和6个技术面项目的标题均可自定义
· 权重评分系统 - 使用1-3级重要性权重和1-5分评分标准
· 可视化展示 - 在图表上显示评分趋势线和实时评分表格
· 智能评级 - 根据得分自动给出优秀、良好、一般、较差的评级建议
使用说明
1. 在"显示选项"中选择要查看的评分类型
2. 在"基本面设置"和"技术面设置"中自定义项目名称
3. 为每个项目设置1-5分的评分和1-3级的权重
4. 系统自动计算加权平均分并显示在图表和表格中
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Stock Scoring System - Separable Display
Overview
This is a custom stock comprehensive scoring system that allows users to evaluate stocks from both fundamental and technical perspectives. The system supports flexible weight configuration and item customization, with options to display different types of scores as needed.
Key Features
· Separable Display Options - Choose to display fundamental, technical, or overall scores individually
· Customizable Items - All 6 fundamental items and 6 technical items can be renamed
· Weighted Scoring System - Uses 1-3 level importance weights and 1-5 point scoring scale
· Visual Presentation - Displays score trend lines on chart and real-time score table
· Smart Rating - Automatically provides Excellent, Good, Average, or Poor ratings based on scores
Usage Instructions
1. Select the score types to view in "Display Options"
2. Customize item names in "Fundamental Settings" and "Technical Settings"
3. Set 1-5 point scores and 1-3 level weights for each item
4. System automatically calculates weighted average scores and displays them on chart and table
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核心参数对照 Core Parameters
基本面评分 Fundamental Score 基于财务和业务指标的评分
技术面评分 Technical Score 基于价格和交易量指标的评分
综合评分 Overall Score 基本面和技术面的加权平均分
权重 Weight 项目重要性级别 (1-3级)
评分 Score 项目表现评分 (1-5分)
优秀 Excellent 得分 ≥ 80
良好 Good 得分 60-79
一般 Average 得分 40-59
较差 Poor 得分 < 40
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应用场景 Application Scenarios
· 股票筛选 - 快速评估多只股票的综合质量
· 投资决策 - 为买入/持有/卖出决策提供量化依据
· 组合管理 - 监控持仓股票的评分变化趋势
· 研究分析 - 自定义评分标准以适应不同的投资策略
· Stock Screening - Quickly evaluate the comprehensive quality of multiple stocks
· Investment Decisions - Provide quantitative basis for buy/hold/sell decisions
· Portfolio Management - Monitor score trends of held stocks
· Research Analysis - Customize scoring criteria to adapt to different investment strategies
EMA 200 - 50 - 20 | Davide BuncugaThis script displays three key Exponential Moving Averages (EMAs) on the chart: EMA 200, EMA 50, and EMA 20.
These moving averages are commonly used by traders to identify the overall market trend, medium-term structure, and short-term momentum.
EMA 200 – Represents the long-term trend and acts as a dynamic support/resistance.
EMA 50 – Used to identify the medium-term direction of the market.
EMA 20 – Highlights short-term momentum and pullback areas within the trend.
This indicator is designed to help traders quickly analyze market structure and align their trading decisions with the dominant trend.
Ichimoku_RSI_MACDIchimoku cloud + RSI + MACD. Combined indicators with signals, indicating whether it is bullish or bearish (BUY or SELL).
jinhanborasaeg bori indicator ENHello, I'm jinhanborasaeg.
This indicator was created by modifying the free indicator "Vumanchu Free Swing."
It was developed with Claude's assistance and includes
additions such as no-repaint functionality, TP/SL, and more.
For settings, you should use High instead of Close for better results.
Below is the link to an indicator I created by combining 20 different indicators,
which showed good backtesting results. If you're interested,
I'd appreciate it if you could take a look.
jinhanborasaeg.gumroad.com
Alpha Net Simple Buy Sell SignalThis indicator was developed by the Alpha Net community to help users gain a deeper understanding of the market and provide more accurate signals when the market reverses. Please contact the Alpha Net community directly for detailed support.
Ichimoku_RSI_MACD_CleanIchimoku + RSI + MACD indicator. It combines these three indicators. It tells whether the trend is bullish or bearish. Multi-timeframe.






















