Astro Algo by Mr Keshav TraderThe Astro Algo is a simple yet powerful TradingView indicator designed to help traders easily identify the daily high and low levels on the chart. These levels are extremely important as they often act as key support and resistance zones during intraday trading.
How It Works
New Day Detection:
At the start of each new trading day, the indicator automatically resets and records the high and low of the day.
Dynamic or Fixed Lines:
If the price makes new highs or lows during the day, the lines automatically adjust (dynamic version).
Alternatively, you can keep the high/low fixed at the first candle of the day (fixed version).
Visual Representation:
Two horizontal lines are plotted on the chart:
Teal Line → Daily High
Red Line → Daily Low
Usage
The Daily High often acts as a resistance level. If the price breaks above this line, it can indicate a potential bullish breakout.
The Daily Low often acts as a support level. If the price breaks below this line, it can signal a possible bearish breakdown.
Best For
Intraday Traders looking for key levels to plan entries/exits.
Scalpers & Swing Traders who use support/resistance levels for decision-making.
Features
Works on all timeframes.
Automatically resets every new trading day.
Clean and simple visualization with minimal chart clutter.
Indicadores y estrategias
Kings Line Candel StrategyKings Line Candle Strategy is a simple but effective price-action–based tool designed to help traders quickly visualize bullish and bearish market conditions. It combines moving average filters with candle coloring to highlight momentum shifts in the market.
EMA (Exponential Moving Average):
The script uses a 9-period EMA as the primary trend filter. When price closes above this EMA, the line turns green, signaling a potential bullish environment. When price closes below it, the line turns red, indicating a bearish bias.
SMA (Simple Moving Average):
An optional SMA (with a customizable length) can be displayed on the chart. This secondary average is useful for identifying medium-term trend direction and smoothing out price noise.
Candle Coloring:
Candles are automatically recolored based on their relation to the SMA:
Green candles → price closing above the SMA.
Red candles → price closing below the SMA.
This dual approach (EMA line + SMA candle filter) makes it easier for traders to spot trend continuations, reversals, and possible entry/exit zones without cluttering the chart.
⚙️ Inputs & Customization
MA Length: Adjust the length of the SMA (default = 9).
Show MA: Option to toggle the SMA on or off, depending on whether you want a simpler or more detailed view.
📊 How to Use
Add the script to your chart.
Use the EMA line as a quick visual guide to determine the dominant short-term trend.
Watch how candle colors shift around the SMA – this highlights potential breakouts or trend reversals.
Combine the signals with your own risk management, support/resistance, and trading strategy for confirmation.
🚫 Disclaimer
This indicator is not financial advice. It does not guarantee profits or predict the future. It is designed as a visual aid to support your own market analysis and decision-making. Past performance does not guarantee future results.
Kings Buy & Sell StrategyKings B&S
The Kings B&S indicator is a custom oscillator designed to help traders identify potential buy and sell opportunities by combining advanced smoothing techniques with dynamic overbought/oversold detection.
🔹 How it works
The indicator is based on John Ehlers’ signal processing methods, particularly the SuperSmoother filter and an EMA-based smoother, which help reduce noise while preserving meaningful price movements.
It transforms price into a normalized oscillator using logarithmic price changes, then smooths these signals to detect momentum shifts.
A moving average (SMA) of the oscillator is used as a baseline for detecting crossovers (bullish momentum) and crossunders (bearish momentum).
🔹 Key Features
Overbought/Oversold Zones
Configurable levels let traders define where the market may be overstretched.
The script dynamically tracks the lowest oscillator values during oversold conditions and the highest oscillator values during overbought conditions, ensuring signals are context-aware.
Histogram & Signal Line
The histogram highlights the difference between the signal and its moving average.
Positive values (green) suggest bullish strength, while negative values (red) suggest bearish pressure.
Buy & Sell Signals
Buy signals (▲) appear when the oscillator crosses above its baseline from an oversold level.
Sell signals (▼) appear when the oscillator crosses below its baseline from an overbought level.
Small circles (•) are plotted at every crossover/crossunder, providing extra clarity even when levels are not extreme.
Ehlers Filters for Noise Reduction
By applying Ehlers’ smoothing, the indicator minimizes false signals in choppy markets and helps focus on meaningful swings.
🔹 How to Use
Look for buy opportunities when the oscillator generates a ▲ signal from oversold conditions.
Look for sell opportunities when the oscillator generates a ▼ signal from overbought conditions.
The histogram helps visualize momentum shifts, and traders can combine this with price action, trendlines, or volume analysis for confirmation.
⚠️ Important Notes
This is not a guaranteed buy/sell system. It is a technical analysis tool intended to support decision-making.
Past performance does not guarantee future results. Always confirm signals with other strategies and risk management practices.
The script is designed for standard candlestick charts only. It should not be used for Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts as they can produce misleading results.
Trend Scalping Strategy Overview
This is a short-term trading strategy designed to capitalize on momentum shifts within a broader trend. It combines multiple technical indicators across different timeframes—including Stochastic, RSI, and custom trend logic—to generate entry and exit signals. The strategy incorporates a time filter to operate only during specified high-liquidity hours and includes a mandatory end-of-session close-out to avoid overnight risk. It is suitable for volatile markets like equities, futures, and cryptocurrencies.
Input Parameters
Source
The price data used for calculations. Default is hl2 (the average of high and low prices).
Short Term Trend (x_len_a)
The period for the short-term RSI calculation. Default is 5. Used to capture recent price momentum.
Long Term Trend (x_len_b)
The period for the Stochastic Oscillator calculation. Default is 60. Defines the medium-to-long-term trend context.
Smooth Long Term Trend (x_k_b)
The smoothing period applied to the Stochastic value (K). Default is 13. Reduces noise for a clearer trend signal.
Clear Short Term Pullback Appears Recently (x_changk)
The lookback period to identify a recent significant pullback. Default is 15.
Threshold of Short Term Pullback Clear (x_rsi_ct)
The RSI level indicating an oversold (for longs) or overbought (for shorts) condition. Default is 35.0.
Threshold of Short Term Pullback End (x_rsi_ft)
The RSI level signaling that the short-term pullback has concluded and momentum is reversing. Default is 50.0.
Exit if Reason Over (x_exit_if_reason_over)
A boolean switch. If enabled, the strategy will automatically close a position if the original entry condition is no longer valid.
Time Filter (Start/End Hour & Minute)
Defines the specific intraday window during which the strategy is active (e.g., 7:00 to 15:10). All trades are initiated and managed only within this window.
Strategy Logic
Indicator Calculation:
y_stoch: The raw Stochastic Oscillator value calculated over the x_len_b period.
y_k: A smoothed version of the Stochastic (y_stoch) using a Simple Moving Average with period x_k_b.
y_rsi: The Relative Strength Index calculated on the Source price over the short-term period x_len_a.
Entry & Exit Conditions:
The core logic generates a composite signal (y_upper for long, y_lower for short) based on three components:
The deviation of the smoothed Stochastic (y_k) from its midpoint (50).
The deviation of the RSI (y_rsi) from its pullback-end threshold (x_rsi_ft).
The extremity of the recent RSI move compared to the pullback-clear threshold (x_rsi_ct) over the x_changk period.
Long Entry (LE): Triggered when the composite signal y_upper is greater than 0 AND the current time is within the allowed trading window.
Short Entry (SE): Triggered when the composite signal y_lower is less than 0 AND the current time is within the allowed trading window.
Conditional Exit: If x_exit_if_reason_over is true, long positions are closed if y_upper <= 0, and short positions are closed if y_lower >= 0.
Time-Based Filter:
The strategy only evaluates entries and exits if the current bar's time falls within the user-defined start_time and end_time range.
Mandatory Close-Out:
A critical risk management feature: All open positions are automatically closed at 16:10 (4:10 PM) based on the chart's timezone, ensuring no positions are held overnight or into the late session.
Plotting
The strategy plots three key series in the indicator pane:
Stochastic (y_stoch): Red line.
Smoothed Stochastic (y_k): Blue line.
RSI (y_rsi): Yellow line.
A hline at 50 serves as a visual midpoint reference for both Stochastic and RSI.
Usage Recommendations
This strategy performs best in markets with high volatility and strong trending characteristics.
It is highly recommended to use this script with a brokerage account that supports and enforces stop-loss orders on the strategy's behalf, as the script itself does not calculate stop-loss levels.
Parameters, especially periods and thresholds, should be optimized for the specific asset and timeframe being traded.
Always conduct rigorous backtesting and forward testing before deploying capital. 策略概述
本策略是一个基于多时间框架动能的短线交易策略，通过结合短期与长期趋势指标、RSI超买超卖判断以及时间过滤机制，在趋势明确时入场，并在特定条件或时间点退出交易。策略适用于股票、期货、加密货币等高频波动的市场。
输入参数说明
数据源（Source）
默认使用 hl2（最高最低价的平均值），也可选择其他价格数据。
短期趋势周期（Short Term Trend）
默认值为5，用于计算短期RSI，捕捉近期价格动量的变化。
长期趋势周期（Long Term Trend）
默认值为60，用于计算随机指标（Stochastic）的周期，判断中长期趋势方向。
长期趋势平滑周期（Smooth Long Term Trend）
默认值为13，对长期随机指标进行平滑处理，减少噪音。
近期回调检测周期（Clear Short Term Pullback Appears Recently）
默认值为15，用于检测短期是否出现明显回调。
RSI超卖阈值（Threshold of Short Term Pullback Clear）
默认值为35.0，RSI低于该值视为短期超卖，可能出现反弹。
RSI回调结束阈值（Threshold of Short Term Pullback End）
默认值为50.0，RSI回升至此表示短期回调结束。
条件失效时退出（Exit if Reason Over）
若启用，当入场条件不再成立时自动平仓。
交易时间范围
可设置策略运行的开始与结束时间（以小时和分钟为单位），仅在指定时间段内交易。
策略逻辑
指标计算：
随机指标（Stochastic）：基于长期周期计算，反映价格在近期区间内的位置。
平滑随机值（y_k）：对随机指标进行移动平均平滑处理。
RSI指标：基于短期周期计算，反映近期价格动量的强弱。
多空判断：
多头信号（y_upper）：
当平滑随机值高于50、RSI高于结束阈值，且近期出现明显超卖回调时，触发做多信号。
空头信号（y_lower）：
当平滑随机值低于50、RSI低于结束阈值，且近期出现明显超买回调时，触发做空信号。
时间过滤：
策略仅在用户设定的时间范围内（例如7:00至15:10）运行，避免在波动性较低或非主力交易时段操作。
强制平仓机制：
每天下午16:10（或指定时间区间）强制平仓所有头寸，避免隔夜风险或尾盘波动。
图表显示
策略在副图中绘制以下三条线：
随机指标（红色）
平滑随机值（蓝色）
RSI指标（黄色）
水平线50：作为多空分界线参考。
使用建议
本策略适合在流动性高、波动性强的市场中运行。
建议配合止损机制使用，以控制单笔交易风险。
用户可根据不同品种调整参数周期和阈值，优化入场时机。
ETF→Symbol GEX & IM Mapper🧭 ETF→Symbol GEX & IM Mapper — Descripción e Instrucciones
Resumen 🧩
Indicador (overlay) que convierte niveles calculados sobre un ETF (SPY/QQQ/IWM/DIA) al símbolo actual y los dibuja con estilo profesional: muros de GEX (Call/Put), rango de IM (+ desvíos estándar), HVL con sombreado verde/rojo, BS desde bloque, estado de entorno (Basis/VIX) y signo GEX manual/automático. Ideal para quienes operan futuros/acciones pero consumen niveles originados en el ETF.
¿Qué hace? 🎯
Convierte y plotea niveles de GEX/IM/HVL/BS provenientes de un bloque de texto (formato largo en español o compacto “precio,nombre ”). Permite rebase a apertura 09:30 NY o rebase manual, ajusta etiquetas/colores, controla la longitud de líneas (por barras/días/todo el chart) y muestra un InfoBox con BASE (CT/BW), VIX (opcional) y signo GEX (Manual/Auto). El sombreado HVL puede anclarse a IM o GEX L1 y recortarse al mismo span.
El bloque largo se obtiene directamente (podría requerir suscripción de pago) del sitio:
gammetric.com
Ejemplo de formato del bloque largo:
NQ (Nasdaq 100)
Resistencia Call 23500, Soporte Put 23000, HVL 23360, 1D Min 23200.21, 1D Max 23697.29, Resistencia Call 0DTE 23500, Soporte Put 0DTE 23200, HVL 0DTE 23360, Muro Gamma 0DTE 23500, GEX 1 23550, GEX 2 23300, GEX 3 23600, GEX 4 23650, GEX 5 23350, GEX 6 23750, GEX 7 23800, GEX 8 23700, GEX 9 23900, GEX 10 23100, BS 1 23345.2, BS 2 23700.68, BS 3 23202.48, BS 4 24015.01, BS 5 23861.63, BS 6 23600.78, BS 7 23087.68, BS 8 22873.02, BS 9 24043.37, BS 10 23774.72
EL bloque corto se alimenta manualmente de los datos obtenidos desde sitios como Unusual whales, Option Alpha, etc.
Ejemplo del formato del bloque corto:
575, call wall, l1; 567, put wall, l1; 571, call wall, l2; 565, put wall, l2; 572, call wall, l3; 560, put wall, l3; 560, im; 571, im; 570, hvl
Componentes 🧱
• GEX: Resistencia Call (l1), Soporte Put (l1) + GEX extra por lado (l2/l3) coloreados según el lado del precio.
• IM: Rango IM Low/High con opción de SDV ±1/±2/±3.
• HVL: Línea HVL + sombreado dinámico (verde/rojo) según posición del precio, anclaje (IM/GEX L1/Auto).
• BS: Hasta N niveles en gris (etiqueta “BS k”).
• InfoBox: ETF, precio ETF, BASE (suavizada), VIX (spot vs 3M) y GEX Manual/Auto.
• Rebase: 09:30 NY automático o manual; alerta de deriva configurable.
Entrada de datos (bloque pegado) 📦
• Largo (ES): frases con “Resistencia Call”, “Soporte Put”, “HVL 0DTE/Std”, “1D min/max”, “GEX k”, “BS k”, etc.
• Compacto: precio,nombre separados con ; (ej.: 5200,Call Wall,l1; 5150,GEX 2; 5100,BS 1).
• Marca “Valores del bloque están en ETF (convertir con Diff)” cuando el bloque venga en precio del ETF.
• Preferir 0DTE: prioriza variantes intradía si coexisten 0DTE/Std.
⚙️ Instrucciones de uso
Añade el indicador al gráfico del símbolo donde operas (futuros, acción, etc.). Es un overlay.
En “01) Origen de datos” pega tu bloque y elige el formato (Auto/Largo/Compacto).
En “02) ETF → Símbolo” selecciona el ETF de referencia del que provienen los niveles (SPY/QQQ/IWM/DIA).
En “02-b) Ancla / Rebase” elige “Rebase 09:30 NY” o “Rebase manual”. Si usas manual, pulsa “Rebase ahora” tras abrir mercado. Activa la alerta de deriva para recibir sugerencias de rebase.
Ajusta “04) Líneas / Etiquetas”: longitud (Barras/Días/Completo), posición, offsets, colores y fondos (puedes igualar el fondo de etiqueta al color de línea).
En “05) Estilos” define grosores/estilos/colores; activa SDV si quieres ±σ desde IM. Configura HVL y su sombreado (anclaje, opacidad, lado).
En “06) Entorno” activa Basis y/o VIX; pon GEX en “Manual/Auto”. En Auto puedes basarte en VIX term, Basis o Precio vs HVL.
Revisa el InfoBox para ver BASE, VIX y estado GEX; activa la etiqueta flotante si quieres lectura rápida en el gráfico.
Publica en TradingView con esta ficha, capturas de ejemplo y marcando overlay.
🔧 Parámetros clave (rápido)
• block_format_mode: Auto / Largo / Compacto
• block_prices_in_etf: marcar si el bloque viene en precio de ETF
• block_gex_per_side: cuántos GEX extra (además de L1) por lado
• bs_enable / bs_count_plot: activar y limitar cantidad de BS
• hvl_fill_anchor: “IM”, “GEX L1” o “Auto (IM dentro de GEX L1)”
• line_span_mode: “Barras”, “Días” o “Completo”
• gex_mode: “Manual/Auto” con fuentes “VIX term / Basis / HVL”
🧭 ETF→Symbol GEX & IM Mapper — Description & Instructions (for TradingView)
Summary 🧩
Overlay indicator that converts levels computed on an ETF (SPY/QQQ/IWM/DIA) to the current symbol and renders them with a clean visual style: GEX walls (Call/Put), IM range (+ standard-deviation bands), HVL with green/red shading, BS levels from the pasted block, environment state (Basis/VIX), and GEX sign (manual/auto). Ideal for traders who trade futures/stocks but consume levels originated on the ETF.
What it does 🎯
Parses and plots GEX/IM/HVL/BS levels coming from a text block (Spanish long format or compact price,name ). Supports rebase at 09:30 NY or manual rebase, configurable labels/colors, line length (by bars/days/entire chart), and an InfoBox with BASE (CT/BW), optional VIX, and GEX sign (Manual/Auto). HVL shading can anchor to IM or GEX L1 and matches the same line span.
Components 🧱
• GEX: Call Resistance (l1), Put Support (l1) + extra GEX per side (l2/l3) auto-colored by side vs price.
• IM: IM Low/High range with optional SDV ±1/±2/±3.
• HVL: HVL line + dynamic shading (green/red) based on price vs HVL; anchors (IM/GEX L1/Auto).
• BS: Up to N gray levels (label “BS k”).
• InfoBox: ETF, ETF price, BASE (smoothed), VIX (spot vs 3M), and GEX Manual/Auto.
• Rebase: Auto at 09:30 NY or manual click; configurable drift alert.
Data input (pasted block) 📦
• Long (ES): phrases like “Resistencia Call”, “Soporte Put”, “HVL 0DTE/Std”, “1D min/max”, “GEX k”, “BS k”, etc.
• Compact: price,name separated by ; (e.g., 5200,Call Wall,l1; 5150,GEX 2; 5100,BS 1).
• Enable “Valores del bloque están en ETF (convertir con Diff)” when values are in ETF price (not the current symbol).
• Prefer 0DTE: prioritizes intraday variants when both 0DTE/Std exist.
⚙️ How to use
Add the indicator to the chart of the instrument you trade (future, stock, etc.). It’s an overlay.
In “01) Origen de datos”, paste your block and choose the format (Auto/Long/Compact).
In “02) ETF → Símbolo”, pick the reference ETF the levels were computed on (SPY/QQQ/IWM/DIA).
In “02-b) Ancla / Rebase”, choose “Rebase 09:30 NY” or “Rebase manual”. If manual, press “Rebase ahora” after the market opens. Enable the drift alert to get rebase hints.
Tweak “04) Líneas / Etiquetas”: length (Bars/Days/Full), label position, offsets, colors and backgrounds (you can match label background to line color).
In “05) Estilos”, set widths/styles/colors; enable SDV if you want ±σ around IM. Configure HVL and its shading (anchor, opacity, side behavior).
In “06) Entorno”, turn on Basis and/or VIX; set GEX to “Manual/Auto”. In Auto you may base it on VIX term, Basis, or Price vs HVL.
Check the InfoBox for BASE, VIX and GEX sign; enable the floating label if you want a quick on-chart readout.
Publish on TradingView with this write-up, example screenshots, and overlay flagged.
🔧 Key parameters (quick)
• block_format_mode: Auto / Long / Compact
• block_prices_in_etf: enable if the block is in ETF prices
• block_gex_per_side: how many extra GEX levels (besides L1) per side
• bs_enable / bs_count_plot: enable and cap the number of BS levels
• hvl_fill_anchor: “IM”, “GEX L1” or “Auto (IM dentro de GEX L1)”
• line_span_mode: “Barras”, “Días” or “Completo” (Bars/Days/Full)
• gex_mode: “Manual/Auto” with sources “VIX term / Basis / HVL”
🛠️ Troubleshooting
• Levels look shifted: perform a Rebase or enable the drift alert.
• Label overlap: use bar/day offsets and/or disable “Label background = line color”.
• Block is in ETF and not marked: enable “Valores del bloque están en ETF”.
• Extra GEX duplicates L1: increase dedup tolerance (ε).
• VIX missing: enable VIX and confirm the tickers exist for your broker/plan.
🎨 Design notes
• All UI texts, menus and labels shipped in Spanish by design.
• Compatible with short and long block without breaking existing setups.
• Respects Pine v6 syntax; avoids breaking lines inside parentheses.
⚖️ Disclaimer
This indicator is a visualization/level-management tool. It is not financial advice and does not guarantee results. Use at your own discretion and risk.
Intelligent Fear Indicator Pro+ v1.0 [EN] Intelligent Fear Pro+ — Make Your Decisions with Confidence
Turn candlesticks into clear, professionally filtered signals. The indicator combines pattern recognition with trend, volume, and volatility filters to deliver market signals that cut through the noise and highlight high-probability opportunities. It provides stronger confidence in every decision and shows only what matters on the chart for more accurate entries and exits, helping you pick the best trades across different timeframes.
Why You’ll Love It
High-quality signals: Confirms patterns with trend, volume, VWAP, ADX, and ATR.
Multi-timeframe confirmation: Smart filtering using higher-timeframe signals to reduce false alerts.
Instant alerts: Ready-to-use notifications so you never miss a move.
Practical design: Clean chart markers and a strong trend box to clarify current direction.
Flexible for any market: Works on forex, stocks, futures, and crypto — from scalping to swing trading.
What It Detects
Powerful patterns: Three White Soldiers / Three Black Crows, Five Soldiers / Five Crows, Cup & Handle, Engulfing, Morning Star, and Evening Star.
Professional filters: EMA trend, volume, VWAP, ADX (trend strength), ATR (true body momentum).
Optional VIX filter: Avoid trades during peak fear/volatility cycles.
How to Use It Quickly
Add it to your chart and adjust to your trading style.
Watch for pattern signals + confirmation from filters (trend/volume/VWAP).
Plan entries and exits with clear risk management.
⚠️ Important Note: This indicator is a decision-support tool, not investment advice. Always apply strict risk management.
Download Intelligent Fear Pro+ now and start seeing the market with greater clarity and speed.
NIFTY_2min_FVG_Buy_StrategySummary
This strategy is designed for scalping Nifty on a 2-minute chart, focusing exclusively on long entries. The script's purpose is to identify and act on specific bullish reversal patterns based on volume analysis and price action.
Concept & Core Logic
The strategy operates on a two-stage confirmation process:
Volume Absorption: The initial condition seeks to identify potential bullish reversals by detecting signs of selling pressure being absorbed by buyers. This suggests that a downward move may be losing momentum.
Fair Value Gap (FVG) Confirmation: After a volume absorption signal, the strategy waits for a Fair Value Gap (FVG) to appear. A long entry signal is generated only after a candle closes above the FVG zone, serving as confirmation of bullish intent.
Risk Management
The strategy employs a fixed take profit and stop loss for each trade, based on the Nifty underlying price:
Take Profit: The exit signal is triggered when a trade reaches a 25-point profit.
Stop Loss: The exit signal is triggered when a trade reaches a 30-point loss.
Intended Use
This tool is intended for traders who:
Utilize mechanical, rule-based systems for intraday trading and scalping.
Are interested in studying a structured approach that combines volume analysis with price action inefficiencies like Fair Value Gaps.
Orderflow FeedOrderflow Feed Indicator
This Pine Script indicator provides real-time orderflow analysis by displaying buying and selling volume data in a structured table format on your TradingView chart.
What It Does
The indicator creates a volume orderflow table that tracks and displays:
Buy Volume : Aggressive buying volume (market orders hitting asks)
Sell Volume : Aggressive selling volume (market orders hitting bids)
Volume Delta : Net difference between buy and sell volume
Price Levels : The prices where these volumes occurred
Cumulative Totals : Running totals of all buy/sell volume
Key Features
📊 Real-Time Volume Tracking
Monitors volume data at configurable timeframes (default: 1-second)
Distinguishes between aggressive buying vs. selling pressure
Calculates volume delta (buy volume - sell volume)
📋 Dynamic Table Display
Shows the most recent orderflow data (default: 15 rows)
Table Columns:
Buy: Volume of aggressive buy orders
Price: Price level for buy orders
Delta: Net volume difference
Price: Price level for sell orders
Sell: Volume of aggressive sell orders
🎨 Visual Highlighting
High Volume Highlighting: Rows with volume above threshold get colored backgrounds
Delta Coloring: Green for positive delta, red for negative delta
Chart Background:
Green when buying pressure dominates overall
Red when selling pressure dominates overall
📍 Customizable Display
Table Position: Configurable placement (9 positions available)
Row Count: Adjustable number of historical rows (3-100)
Volume Threshold: Customizable high-volume highlighting
How It Works
Data Collection: Uses TradingView's volume analysis to separate buy vs. sell volume
Real-Time Updates: Continuously updates with new orderflow data
Cumulative Analysis: Tracks running totals to identify overall market bias
Visual Signals: Provides immediate visual feedback on market pressure
Use Cases
Scalping: Identify short-term buying/selling imbalances
Order Flow Trading: Track institutional activity and market microstructure
Confirmation Tool: Validate breakouts with volume-based evidence
Market Sentiment: Gauge real-time market bias and momentum shifts
Signal Interpretation
Positive Delta + Green Background: Strong buying pressure
Negative Delta + Red Background: Strong selling pressure
High Volume Rows: Significant institutional or large trader activity
Cumulative Totals: Overall session bias toward buyers or sellers
This indicator is particularly useful for day traders and scalpers who need to understand the underlying orderflow dynamics driving price movement.
Rossgram
Script Name: ADMF: Rossgram Aggregated cumulative volume, volatility-dependent-parabolic-length, divergence-inverting EMA admf
Description:
This publication is a major revision by the original author. The script has been significantly improved to provide more accurate and timely signals by enhancing its core adaptive logic.
Key Improvements & Originality:
Enhanced Dynamic Calculation: The core algorithm now features a sophisticated volatility normalization mechanism. Instead of using a simple ATR, it calculates a normalized volatility index (volATR_admf) and dynamically adjusts the EMA length based on its position within a dynamically updated percentile range (2nd to 98th). This allows the indicator to be exceptionally responsive across different market regimes, from extreme volatility to calm conditions.
Advanced Percentile Anchoring: A dedicated initialization and update routine ensures robust calculation of volatility extremes. The script:
Initializes with safe defaults for the first 1000 bars.
After the 1000th bar, it calculates precise percentile levels (ta.percentile_nearest_rank) every 100 bars, ensuring the adaptive mechanism is always anchored to the most relevant recent market data rather than a fixed historical period. This is a unique approach to defining "extremes".
Multi-Exchange Data Aggregation (User-Configurable): The script is designed to aggregate volume data from multiple sources. This provides a more accurate picture of market activity than a single exchange. Users can manually configure a list of tickers for non-BTC assets in the settings, tailoring the data input to their specific trading instrument.
How It Works & How to Use:
The indicator plots a moving average that exponentially adjusts its sensitivity based on real-time market volatility. As volatility approaches historically high levels (98th percentile), the EMA length expands to filter out noise and help identify exhaustion. In low volatility (near the 2nd percentile), it contracts to become more responsive to new trends.
Usage: Add to the chart. For non-BTC assets, configure the tickers in settings.
Signal Interpretation: Look for the adaptive line to change direction, especially after it has been trending near one of the volatility extremes. This often anticipates sharp reversals.
Why Closed-Source? The specific implementation of the dynamic percentile-based anchoring, the volatility normalization formula, and the data aggregation logic are proprietary developments. Protecting the source code is necessary to safeguard the unique intellectual property behind this adaptive calculation method.
ProphetQuant LevelsProphetQuant Levels — Institutional Structure, Simplified
ProphetQuant Levels fuses prorietary institutional reference levels with session logic to surface clean, actionable trade locations—no fluff, no guessing. It draws only what matters, right where you trade.
Daily and Weekly Levels are provided each day. Copy and paste them into the indicator to activate. Both intraday (daily) and weekly levels are required for full context.
What It Plots
ProphetQuant institutional levels: Daily & weekly custom strings (HV / R / S / EXT), fully customizable with right-anchored labels.
Initial Balance (IB): Auto-market windows (NQ, ES & GC), frozen after completion, with optional midline and right-side labels.
True Session VWAP: Volume-weighted VWAP with optional ±0.5σ / ±1.0σ bands (labels optional, off by default).
Globex H/L (18:00→17:00): Current and prior day highs/lows shown as precise black stubs, each with its own toggle.
Weekly H/L: Current and prior week highs/lows shown as black stubs, each with its own toggle.
Label control: Font, offset, background transparency; anchor left/center/right; per-feature price label toggles.
Why It Helps
Institutional precision: Anchored on proven reference levels with high probability of reaction.
Clarity over clutter: Clean horizontal references and short right-side stubs make charts easy to read at a glance.
Session-aware: IB and VWAP align with correct trading windows.
Confluence first: Daily/weekly structure, IB extremes, VWAP/σ, and prior highs/lows stack into clear decision zones.
M/S Signal v2 - Multi-Zone Signal SystemM/S Signal v2 - Advanced Multi-Zone Breakout System
🔧 TECHNICAL INNOVATION
This indicator introduces a unique combination of adaptive zone confluence detection with multi-timeframe directional filtering that addresses specific limitations found in standard breakout indicators.
🎯 CORE ALGORITHM DIFFERENCES:
1. Adaptive Level Management:
Code
// Unlike static S/R indicators, levels update dynamically
if close > active_high:
active_high := current_high
active_low := current_low
generate_signal("BUY")
Traditional indicators use fixed pivot points. This system continuously adapts support/resistance levels based on actual price action.
2. Zone Confluence Mathematics:
Code
zones_match(level1, level2, tolerance_percent) =>
diff = math.abs(level1 - level2)
avg_price = (level1 + level2) / 2
tolerance = avg_price * tolerance_percent / 100
diff <= tolerance
This mathematical approach to zone alignment is not available in standard zone-based indicators.
3. Multi-Timeframe Signal Validation:
Code
htf_signal = request.security(symbol, htf_tf, get_last_signal_type())
allow_signal = current_tf_signal AND htf_allows_direction
The system tracks the last active signal from higher timeframes, not just current trend direction.
📊 UNIQUE FEATURES:
Triple Zone System:
Zone 1 (100-period): Macro trend identification
Zone 2 (60-period): Impulse movement detection
Zone 3 (20-period): Precise entry triggers
Dual Independent Filters:
Filter 1: Zone confluence with customizable tolerance (0.1% default)
Filter 2: Higher timeframe last signal direction
Each filter operates independently and can be toggled on/off
Dynamic Level Tracking: Unlike indicators that use predetermined levels, this system:
Updates support/resistance after each breakout
Prevents duplicate signals until new level formation
Tracks signal history to avoid repetitive alerts
📈 TECHNICAL SPECIFICATIONS:
Code Architecture:
PineScript v6 with optimized performance
45+ customizable parameters across 8 setting groups
Maximum 500 objects for stable operation
Overlay design with full visual control
Signal Generation Logic:
Monitor current support/resistance levels
Detect price breakouts above/below active levels
Apply zone confluence filter (if enabled)
Validate against higher timeframe direction (if enabled)
Generate final signal only when all conditions align
Visualization Components:
Three colored zone overlays with customizable fills
Active support/resistance level lines
BUY/SELL signal labels with price information
Key breakout candle highlighting
Real-time current price tracking
⚙️ SETTING GROUPS:
Zone Settings - Configure zone periods and colors
Zone Signal Filters - Control confluence detection
Higher Timeframe Filter - Set HTF validation rules
BUY Signal Configuration - Customize buy signal appearance
SELL Signal Configuration - Customize sell signal appearance
Alert System - Configure notification preferences
Visual Display - Control chart appearance elements
Level Management - Active support/resistance display
🎯 PRACTICAL APPLICATIONS:
For Scalping (M1-M5):
Disable HTF filter for faster signals
Use tight zone confluence tolerance (0.05%)
Focus on Zone 3 breakouts for quick entries
For Swing Trading (H1-H4):
Enable HTF filter with Daily timeframe
Use standard confluence tolerance (0.1%)
Combine all three zones for confirmation
For Position Trading (H4-Daily):
Set HTF filter to Weekly timeframe
Wider confluence tolerance (0.2%)
Focus on Zone 1 trend alignment
🔧 HOW TO USE:
Basic Setup: Use default parameters for most markets
Enable Filters: Turn on zone confluence for higher accuracy
Set HTF Filter: Choose appropriate higher timeframe for your strategy
Customize Signals: Adjust BUY/SELL signal appearance preferences
Configure Alerts: Set up notifications for real-time signal delivery
The indicator works by continuously monitoring price action against dynamically updated support and resistance levels, applying sophisticated filtering mechanisms to ensure only high-probability setups generate signals.
HMA super trade by @arkancapMulti-HMA with five customizable moving averages: visual colors, transparency via picker, flexible line styles, and label/alert for HMA50↔HMA100 crossovers. Lightweight, readable, and ready for trading templates.
Мульти-HMA с пятью настраиваемыми скользящими: визуальные цвета, прозрачность через пикер, гибкие стили линий и метка/алерт для пересечений HMA50↔HMA100. Лёгкий, читабельный и готовый к торговым шаблонам.
Five Hull moving averages that show the trend and indicate key crossovers. Customize colors, thickness, and get accurate alerts. Suitable for scalping and multi-timeframes. Support for filling between moving averages to visually highlight areas of strength or weakness.
Пять Hull-скользящих, которые показывают тренд и подсказывают ключевые пересечения. Настраивай цвета, толщину и получай аккуратные алерты. Подходит для скальпа и мульти-таймфрейма. Поддержка заливки между скользящими для наглядного выделения зон силы или слабости.
Two bullish candles buy and bearish candles sellA simple strategy for test.
Buy when two consecutive bullish candles.
Sell when two consecutive bearish candles.
TrEx Lite [ETPINVEST]TrEx Lite automatically detects price extremums, draws support/resistance levels, connects extremums with trend lines, and includes a Golden/Death Cross trading strategy with customizable alerts.
DAILY WYCKOFF ATMWyckoff Confidence Dashboard
A clean, mobile-optimized Wyckoff phase and alignment dashboard built for serious traders.
This tool dynamically detects Accumulation, Distribution, Markup, and Markdown across multiple timeframes (1H/15M) and scores confidence based on:
• HTF trend direction
• Liquidity sweeps
• Fair Value Gap (FVG) presence
• Volume/OBV confirmation
• Multi-timeframe phase/action alignment
Includes smart alerts and a lightweight dashboard interface — no clutter, just actionable structure-based insight.
Great for SMC, Wyckoff, or price-action traders seeking high-confluence entries.
VWAP + Bollinger Bands VWAP + Bollinger Bands (TanTechTrades™)
This indicator combines VWAP (Volume Weighted Average Price) with Bollinger Bands to provide a hybrid view of price action, volume, and volatility.
🔹 VWAP Features
Customizable anchor period (Session, Week, Month, Quarter, Year, etc.)
Option to hide VWAP automatically on daily or higher timeframes
Up to 3 configurable VWAP bands with multipliers
Bands can be calculated using Standard Deviation or Percentage
🔹 Bollinger Bands Features
Adjustable period length and source
Multiple moving average types (SMA, EMA, RMA, WMA, VWMA)
Customizable standard deviation multiplier
Configurable offset for advanced alignment
🔹 Visuals
Central VWAP line with optional surrounding bands
Bollinger Bands with customizable fills
Color-coded regions to highlight volatility expansions and contractions
This tool is designed for traders who want to see how VWAP reacts alongside volatility envelopes, making it easier to identify areas of liquidity, support/resistance, and potential breakouts or reversals.
⚠️ Disclaimer: This script is for educational purposes only. It is not financial advice.
Statistical Mapping [Version 3]Edit Statistical Mapping (ESM) is a statistical technique used mainly in data validation, error detection, and imputation. It’s often applied in official statistics and large surveys. The method works by:
Defining a set of edits (logical or mathematical rules) that data records must satisfy.
Example: Income ≥ 0, Age ≥ 15 if Employment Status = “Employed”.
Identifying inconsistencies in the data when these edits are violated.
Using statistical mapping to correct or impute missing/inconsistent values based on relationships in the dataset.
Ensuring coherence of microdata so that it aligns with macro-level aggregates.
Supporting survey data cleaning, census editing, and economic statistics preparation.
It’s particularly important for official statistics agencies because data collected from respondents often contains errors, missing entries, or contradictions. ESM ensures that the final dataset is internally consistent, reliable, and ready for analysis.
Machine Learning : Neural Network Prediction -EasyNeuro-Machine Learning: Neural Network Prediction
— An indicator that learns and predicts price movements using a neural network —
Overview
The indicator “Machine Learning: Neural Network Prediction” uses price data from the chart and applies a three-layer Feedforward Neural Network (FNN) to estimate future price movements.
Key Features
Normally, training and inference with neural networks require advanced programming languages that support machine learning frameworks (such as TensorFlow or PyTorch) as well as high-performance hardware with GPUs. However, this indicator independently implements the neural network mechanism within TradingView’s Pine Script environment, enabling real-time training and prediction directly on the chart.
Since Pine Script does not support matrix operations, the backpropagation algorithm—necessary for neural network training—has been implemented entirely through scalar operations. This unique approach makes the creation of such a groundbreaking indicator possible.
Significance of Neural Networks
Neural networks are a core machine learning method, forming the foundation of today’s widely used generative AI systems, such as OpenAI’s GPT and Google’s Gemini. The feedforward neural network adopted in this indicator is the most classical architecture among neural networks. One key advantage of neural networks is their ability to perform nonlinear predictions.
All conventional indicators—such as moving averages and oscillators like RSI—are essentially linear predictors. Linear prediction inherently lags behind past price fluctuations. In contrast, nonlinear prediction makes it theoretically possible to dynamically anticipate future price movements based on past patterns. This offers a significant benefit for using neural networks as prediction tools among the multitude of available indicators.
Moreover, neural networks excel at pattern recognition. Since technical analysis is largely based on recognizing market patterns, this makes neural networks a highly compatible approach.
Structure of the Indicator
This indicator is based on a three-layer feedforward neural network (FNN). Every time a new candlestick forms, the model samples random past data and performs online learning using stochastic gradient descent (SGD).
SGD is known as a more versatile learning method compared to standard gradient descent, particularly effective for uncertain datasets like financial market price data. Considering Pine Script’s computational constraints, SGD is a practical choice since it can learn effectively from small amounts of data. Because online learning is performed with each new candlestick, the indicator becomes a little “smarter” over time.
Adjustable Parameters
Learning Rate
Specifies how much the network’s parameters are updated per training step. Values between 0.0001 and 0.001 are recommended. Too high causes divergence and unstable predictions, while too low prevents sufficient learning.
Iterations per Online Learning Step
Specifies how many training iterations occur with each new candlestick. More iterations improve accuracy but may cause timeouts if excessive.
Seed
Random seed for initializing parameters. Changing the seed may alter performance.
Architecture Settings
Number of nodes in input and hidden layers:
Increasing input layer nodes allows predictions based on longer historical periods. Increasing hidden layer nodes increases the network’s interpretive capacity, enabling more flexible nonlinear predictions. However, more nodes increase computational cost exponentially, risking timeouts and overfitting.
Hidden layer activation function (ReLU / Sigmoid / Tanh):
Sigmoid:
Classical function, outputs between 0–1, approximates a normal distribution.
Tanh:
Similar to Sigmoid but outputs between -1 and 1, centered around 0, often more accurate.
ReLU:
Simple function (outputs input if ≥ 0, else 0), efficient and widely effective.
Input Features (selectable and combinable)
RoC (Rate of Change):
Measures relative price change over a period. Useful for predicting movement direction.
RSI (Relative Strength Index):
Oscillator showing how much price has risen/fallen within a period. Widely used to anticipate direction and momentum.
Stdev (Standard Deviation, volatility):
Measures price variability. Useful for volatility prediction, though not directional.
Optionally, input data can be smoothed to stabilize predictions.
Other Parameters
Data Sampling Window:
Period from which random samples are drawn for SGD.
Prediction Smoothing Period:
Smooths predictions to reduce spikes, especially when RoC is used.
Prediction MA Period:
Moving average applied to smoothed predictions.
Visualization Features
The internal state of the neural network is displayed in a table at the upper-right of the chart:
Network architecture:
Displays the structure of input, hidden, and output layers.
Node activations:
Shows how input, hidden, and output node values dynamically change with market conditions.
This design allows traders to intuitively understand the inner workings of the neural network, which is often treated as a black box.
Glossary of Terms
Feature:
Input variables fed to the model (RoC/RSI/Stdev).
Node/Unit:
Smallest computational element in a layer.
Activation Function:
Nonlinear function applied to node outputs (ReLU/Sigmoid/Tanh).
MSE (Mean Squared Error):
Loss function using average squared errors.
Gradient Descent (GD/SGD):
Optimization method that gradually adjusts weights in the direction that reduces loss.
Online Learning:
Training method where the model updates sequentially with each new data point.
Smart Money Price Action ProSmart Money Price Action Pro - Smart Money and Price Action Dynamic Toolkit
The Smart Money Price Action Pro is designed to bring together multiple layers of market analysis into a single, cohesive framework, combining trend identification and consolidation detection in an actionable format. While individual indicators can provide useful insights, they often work in isolation. This toolkit integrates market flow detection, range analytics, and adaptive visualization into one system, allowing traders to see the bigger picture without piecing together multiple disconnected tools.
Building on principles from institutional trading behaviors, the toolkit gives traders a clearer picture of where “smart money” may be entering or exiting the market. Its design emphasizes confluence: signals from multiple independent modules overlap to create higher conviction setups, offering a structured edge when planning entries, exits, and risk levels.
At its core, the toolkit addresses the duality of market conditions: trending versus ranging. By offering a combination of trend-following signals and contrarian insights, it helps traders operate with a deeper understanding of market structure. While it provides actionable signals and visual guidance, it is intended as an assistive system, helping traders make more informed decisions rather than serving as a single source of truth.
Key Modules
1. Smart Money Signal Module
The Smart Money Signal Module identifies potential institutional activity by analyzing price swings and momentum shifts. Using configurable swing detection, it highlights potential reversal or continuation zones, expressed as adaptive zones around key market levels.
Signals are augmented with trend-colored candle overlays, offering immediate guidance on market bias. Bullish and bearish zones are clearly marked, while continuation and reversal markers help distinguish between trend shifts and market noise.
At its core, the engine applies swing detection combined with a sensitivity filter to track directional momentum across recent bars. This allows it to pinpoint bullish pivots (where downside momentum fades and strength returns) and bearish pivots (where upside momentum collapses). Once a pivot is confirmed, the system draws flow lines that map the breakout and classify it as either continuation or reversal, depending on broader market bias.
Momentum zones are then plotted to show areas where buyers stepped in with strength or sellers forced price lower. These levels extend forward dynamically, shifting in real time as new data forms. Zones change color the moment they break, visually confirming whether market structure has held or failed. Gradient shading highlights periods of extreme pressure, giving traders a clear visual of when momentum surges into overbought or oversold territory.
Instead of simply showing trend direction, this module also maps accumulation and distribution zones tied to institutional flows. When combined with the Range Module, these zones become more meaningful — for example, when institutional accumulation aligns with a breakout from consolidation.
Practical Use: Traders can use these signals to align trades with institutional flows. For example, entering a long position near a bullish accumulation zone or managing risk when bearish distribution areas form. By combining these insights with higher timeframe analysis, traders can filter out false signals and improve decision-making.
2. Range Detection Module
The Range Detection engine continuously monitors price action to flag when markets transition into consolidation phases. Ranges are defined not just by flat price action, but by a measurable contraction in volatility, repeated touches of boundary levels, and the clustering of traded volume around a central equilibrium point.
Once a valid range is identified, the system assigns a compression strength score (0–100). This score reflects how cleanly defined and structurally sound the consolidation is—higher scores indicate tighter boundaries and stronger evidence of accumulation or distribution.
Breakout tendencies are modeled dynamically. The system updates a forward-looking bias by incorporating:
Boundary time distribution – how often price presses against upper vs. lower edges
Historical breakout patterns – probability benchmarks derived from structurally similar ranges
Volume skew – whether traded volume leans toward buyers or sellers inside the range
Momentum alignment – auxiliary filters such as slope-based oscillators that indicate when energy is building for a directional move
The result is a live breakout forecast that evolves bar by bar as the range matures. Each active range carries a visual strength meter plotted above the consolidation zone, quantifying both compression and breakout potential in real time.
The module also supports range memory, preserving completed consolidations even after a breakout. This allows traders to review the prior structure for post-analysis or to track whether price respects the boundaries of the old range as support or resistance going forward.
Practical Use : Traders can use these ranges to anticipate breakout direction or step aside when conditions are unclear. A tight consolidation near a bullish zone, for instance, often signals a potential long opportunity, while overlapping bearish flows warn of false breakouts.
Integrated Workflow
The strength of the toolkit lies in its synergy. Each module is effective on its own, but the real advantage comes when their signals align.
A typical workflow may include:
Assessing the market trend using the Smart Money Signal Module and its trend-colored overlays
Identifying consolidation and breakout zones with the Range Detection Module
Watching for confluences: institutional accumulation aligning with range compression, or dashboard bias matching local setups
Executing trades with structured confidence, using these layered confirmations rather than relying on a single trigger
This integrated workflow streamlines decision-making and avoids the conflicting signals that can occur when combining unrelated indicators.
Additional Features
Adaptive Visualization : Dynamic zones and trend overlays adjust to volatility, keeping charts clear and focused
Analytics Dashboard : A compact summary panel shows active zones, bullish vs bearish flow counts, and current bias, giving context at a glance
Instead of simply adding more signals, the dashboard provides a meta-layer of analysis — context, bias, and flow strength — helping traders manage risk and stay aligned with broader market conditions.
Use Cases
Trend Confluence : Entering trades in line with prevailing smart money flows while filtering out counter-trend setups
Breakout Trading : Using the Range Detection Module to anticipate breakout zones and confirming direction with institutional flow signals
Contrarian Reversal Trades : Targeting accumulation/distribution zones where both modules indicate potential reversals
Each use case demonstrates how layered confluence creates clarity and conviction, making the toolkit a strong complement to other forms of technical analysis.
Conclusion
The Smart Money Signals Toolkit simplifies complex market analysis into actionable, visually intuitive insights. While standalone indicators provide value, this toolkit goes further by combining smart money flows, range detection, adaptive zones, and dashboard analytics into one cohesive system.
It doesn’t just generate buy/sell markers — it shows why a setup matters, where it is occurring, and how it aligns with broader conditions. This allows traders to operate with greater clarity, structure, and discipline.
Risk Disclaimer : This toolkit and its features are for educational and informational purposes only. Past performance does not guarantee future results. All suggested use cases are theoretical and should be applied with proper risk management.
Seasonality by QDEEDSeasonality Indicator with the period 14y.
Years period can be changed.
Indicator projects 180 Bars into the future. If error occurs, reduce to 90. Especially on the Weekly TF.
Custom RSI Divergence OscillatorStill work in progress, but wanted the RSI indicator to look nicer and to be easier and more fun to use.
Event Contract Signal Predictor [10-min Chart]Description:
This script is designed for high-probability event contract trading on 10-minute charts. It combines proprietary LSMA wave trend analysis with custom high-pass filtering and dynamic volume-based order book detection to generate precise long and short entry signals.
Key Features:
• LSMA Wave Trend: Captures short-term momentum with a custom linear regression over smoothed RSI values.
• High-Pass Filter & Peak Detection: Reduces noise and identifies extreme price movements for precise timing.
• Dynamic Order Book Ratio: Monitors buy/sell volume imbalance in real-time to confirm trade validity.
• Signal Confluence: Long or short signals appear only when multiple conditions align (trend, momentum, volume), reducing false triggers.
• Immediate Signal Display: Signals appear on the first candle after condition confirmation; no need to wait for candle close.
• Adjustable Parameters: Users can customize resonance thresholds, smoothing periods, and trigger sensitivity for different markets.
How to Use:
1. Apply the script to a 10-minute chart.
2. Observe green circles (long) and red circles (short) marking potential entries.
3. Combine with your risk management strategy for optimal results.
Note:
This script is closed-source to protect proprietary logic. While the exact calculations are not revealed, this description provides enough context for traders to understand how signals are generated and applied.
