RELIANCE: 3 Bullish Candles + VWAPIts a script to track 3 consecutive candles of any stock. This helps understand the trends and makes up for buy signals. Please test before buying.
Cicli
ALFA KEY LEVEL PLUS This indicator includes key levels. Low timeframes for scalping are also available in this indicator. It includes daily, weekly, monthly, as well as 1-hour, 2-hour, and 4-hour timeframesYou can use this indicator to monitor the liquidity of key levels. Or you can use it when taking bias and transactions from an open strategy.
Test protectedPrepare to challenge conventional analysis with Testing Bang, a bold script tailored for AAPL’s battlefield. This strategy doesn’t play defense—it takes decisive action. Triggered at a pivotal moment in Apple’s historical price path, it demonstrates how surgical precision and daring risk management converge to test reversal points with confidence. Built using Pine Script v6, the code aligns stop-loss logic with targeted entry behavior on bar index 10381.
Whether you’re exploring script mechanics or sharpening your backtest instincts, Testing Bang shows how even a single trade can reveal the psychological layers behind price movement. With the bar magnifier disabled, traders witness raw market behavior—a powerful lens for those who dare to refine strategy in the wild. Step in, test your edge, and see if your timing can match Apple’s thunder.
Pi Cycle | AlchimistOfCryptoPi Cycle Top Indicator - A Powerful Market Phase Detector
Developed by AlchimistOfCrypto
🧪 The Pi Cycle uses mathematical harmony to identify Bitcoin market cycle tops
with remarkable precision. Just as elements react at specific temperatures,
Bitcoin price behaves predictably when these two moving averages converge! 🧬
⚗️ The formula measures when the 111-day SMA crosses below the 350-day SMA × 2,
creating a perfect alchemical reaction that has successfully identified the
major cycle tops in 2013, 2017, and 2021.
🔬 Like the Golden Ratio in nature, this indicator reveals the hidden
mathematical structure within Bitcoin's chaotic price movements.
🧮 When the reaction occurs, prepare for molecular breakdown! 🔥
ZFT ClassicThis is the classic ZFT MAs that can be used by ZFT students to determine if a chart is in an uptrend, downtrend, or sideways movement within a short, medium, or long term timeframe.
Zeefreaks Predator Mask CryptoMade by Zeefreaks, for his dear students so when they see a chart, they can easily identify if it is a buy or sell within a minute.
DEEP PEAK AI 🧠 Introducing DeepPeak AI
An intelligent indicator designed to detect price peaks and bottoms, helping modern investors optimize entry and exit points.
🌟 What is DeepPeak AI?
DeepPeak AI is a smart technical analysis indicator powered by artificial intelligence (AI). It identifies potential peak and bottom zones on price charts and provides timely buy-the-dip and sell-the-peak signals.
Built on historical market data, machine learning models, and real-world price behavior, DeepPeak AI allows users to make fast, emotion-free decisions and maximize trading efficiency.
⚙️ How does DeepPeak AI work?
✅ Bottom Detection:
Recognizes oversold zones, bullish reversals, or positive divergences between price and momentum indicators.
→ Suggests BUY in low-risk, high-reward areas.
❌ Peak Detection:
Analyzes when the price hits strong resistance, becomes overbought, or shows signs of weakening bullish momentum.
→ Suggests SELL or TAKE PROFIT in high-risk reversal zones.
🤖 AI Intelligence:
DeepPeak AI continuously learns from thousands of historical price patterns to improve the accuracy of its peak/bottom detection algorithm.
💡 Key Features:
📊 Real-time detection of peaks and bottoms.
📈 Suggested Buy/Sell zones with Take Profit (TP) and Stop Loss (SL) levels.
🔔 Signal alerts via chart and webhook (TradingView integration).
🔄 Self-learning AI that adapts to evolving market behavior.
🔍 Compatible with multiple timeframes and asset types: crypto, stocks, forex, gold, etc.
🧠 Who is DeepPeak AI for?
🧩 New investors who need clear, beginner-friendly signals.
⚔️ Pro traders looking for tools to filter noise and spot ideal trade zones.
🤖 Developers integrating AI-based analysis into trading bots.
⚠️ Usage Notes:
This is not a guaranteed signal tool — use in combination with risk management and overall market analysis.
Works best in trending markets or tight consolidation ranges.
ICT x Vihapa 4 in 1Indicator Description:
This indicator is designed to provide comprehensive market structure and session-based insights. It includes:
NWoG / NDoG Levels: Displays New Week Opening Gap (NWoG) and New Day Opening Gap (NDoG) for market context.
Key Opening Price Levels: Highlights significant time-based price levels, including 00:00, 08:30, 09:30, and 13:00.
Previous Key Levels: Marks critical historical levels such as the previous week's high and low, previous day’s high and low, and 4-hour highs and lows.
Trading Sessions: Clearly distinguishes major market sessions including the Asian, London, and New York sessions.
This indicator serves as a valuable tool for traders seeking to align their strategies with institutional price behavior and time-based market dynamics.
Divergence Indicator with Multi-Length Pivot DetectionThis Pine Script, titled “Divergence Indicator with Multi-Length Pivot Detection”, tool that detects both regular and hidden divergences between price action and an oscillator (defaulting to close, but configurable). It features multi-length pivot logic, angle-based validation, no-cross filtering, and OB/OS region filtering, making it a robust and precise divergence engine. Below is a detailed breakdown:
⸻
🔧 Inputs and Configuration
• osc_src: Oscillator source (e.g. close, RSI, MACD).
• show_hidden: Toggles detection of hidden divergences.
• min_*_angle settings: Control the minimum angle thresholds (in degrees) for confirming valid divergences (ensures momentum is strong enough).
• validate_no_cross: Ensures oscillator and price slopes don’t “cross” the actual values (i.e. filters out invalid or messy trends).
• oversold_level, overbought_level: Used when use_ob_os_filter is enabled to require oscillator to be in OS/OB zones for regular divergence.
• min_div_length: Minimum distance in bars between previous and current pivot points.
⸻
🔁 Internal Engine Mechanics
1. Pivot Detection Engine (Phase 1: Historical Memory)
• For all combinations of left1 and right1 in the range :
• Records all valid pivot lows and pivot highs.
• Stores their:
• bar index
• price value
• oscillator value
This forms a “memory buffer” of past pivots that future price pivots are compared against.
2. Current Pivot Detection (Phase 2: Scanning)
• Loops through larger pivot configurations (left2 ∈ , right2 = 1) to detect new current pivots.
• For each new pivot, it compares against the historical pivots from phase 1.
⸻
📐 Slope and Angle Calculation
For each matching pivot pair (historical vs current):
• Price and Oscillator Slopes are calculated via linear regression, producing:
• price_angle
• osc_angle
• These are converted using math.atan() and math.todegrees() to get proper angular direction and intensity of trend.
⸻
🧠 Divergence Logic
✅ Bullish Divergence
• Regular Bullish: Price makes a lower low, oscillator makes a higher low.
• Hidden Bullish: Price makes a higher low, oscillator makes a lower low.
• Conditions:
• Must meet minimum angle thresholds.
• Optional: Must be in oversold region (osc_src < oversold_level).
• If validate_no_cross is enabled, linearly interpolated slope must not be violated.
✅ Bearish Divergence
• Regular Bearish: Price makes a higher high, oscillator makes a lower high.
• Hidden Bearish: Price makes a lower high, oscillator makes a higher high.
• Conditions mirror the bullish case (with polarity reversed).
⸻
🖍️ Visualization
• Draws colored lines between pivots for visual clarity:
• Green: Regular Bullish
• Lime: Hidden Bullish
• Red: Regular Bearish
• Maroon: Hidden Bearish
• Uses plotshape() to mark divergence bars:
• Triangle-up for bullish
• Triangle-down for bearish
The lines and shapes help quickly identify divergence zones with strong momentum structure.
⸻
🧪 Filtering Enhancements
• No Cross Slope Filter: Checks that oscillator and price values stay above/below their respective slope lines throughout the interval.
• OB/OS Filter: Restricts divergence signals to occur only in oversold/overbought conditions for regular divergences.
• Signal Thinning: Keeps line count to 100 using array.shift() and line.delete().
⸻
🧬 Design Philosophy
• Built to mimic institutional-grade divergence detection, avoiding common false positives.
• Uses adaptive pivots, rigorous angle validation, and noise filtering.
MACD + TSI 交易信号指标 by kuaileya MACD kuaileya VX kale1668 title="🚀 强势买入信号", message="🚀 {{ticker}} 强势买入信号！价格：{{close}} | MACD和TSI同时确认多头趋势")
alertcondition(strongSell and showAlerts, title="💥 强势卖出信号", message="💥 {{ticker}} 强势卖出信号！价格：{{close}} | MACD和TSI同时确认空头趋势")
alertcondition(normalBuy and showAlerts, title="📈 买入信号", message="
ADR Tracker Version 2Description
The **ADR Tracker** plots a customizable panel on your chart that monitors the Average Daily Range (ADR) and shows how today’s price action compares to that average. It calculates the daily high–low range for each of the past 14 days (can be adjusted) and then takes a simple moving average of those ranges to determine the ADR.
**Features:**
* **Current ADR value:** Shows the 14‑day ADR in price units.
* **ADR status:** Indicates whether today’s range has reached or exceeded the ADR.
* **Ticks remaining:** Calculates how many minimum price ticks remain before the ADR would be met.
* **Real‑time tracking:** Monitors the intraday high and low to update the range continuously.
* **Customizable panel:** Uses TradingView’s table object to display the information. You can set the table’s horizontal and vertical position (top/middle/bottom and left/centre/right) with inputs. The script also lets you change the text and background colours, as well as the width and height of each row. Table cells use explicit width and height percentages, which Pine supports in v6. Each call to `table.cell()` defines the text, colours and dimensions for its cell, so the panel resizes automatically based on your settings.
**Usage:**
Apply the indicator to any chart. For the most accurate real‑time tracking, use it on intraday timeframes (e.g. 5‑min or 1‑hour) so the current day’s range updates as new bars arrive. Adjust the inputs in the settings panel to reposition the list or change its appearance.
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This description explains what the indicator does and highlights its customizable table display, referencing the Pine Script table features used.
FVG + Liquidity Sweepsthis is a test and i don't know if it is gonna actually work but let me know if it does.
Twin Range Filter V2 – Buy/Sell Signals📊 Indicator Name: Twin Range Filter – Buy/Sell Signals
📝 Description:
The Twin Range Filter is a trend-following indicator that combines two adaptive volatility filters to identify potential market reversals and trend continuations. It uses two configurable smoothing periods (fast and slow) to calculate a dynamic range around price, filtering out market noise and highlighting meaningful shifts in direction.
This indicator plots BUY and SELL signals based on price action in relation to the range filter, as well as internal trend conditions.
✅ How It Works:
Long Signal (BUY) is triggered when:
Price is above the filtered range (showing strength), and
Short-term upward momentum is confirmed.
Short Signal (SELL) is triggered when:
Price is below the filtered range (showing weakness), and
Short-term downward momentum is confirmed.
The signals are highlighted using green "Long" and red "Short" labels on the chart.
Background colors reinforce the current directional bias.
⚙️ Inputs:
Fast Period & Range: Adjust sensitivity of the fast range filter.
Slow Period & Range: Adjust smoothing of the slow range filter.
Source: Choose which price to base calculations on (e.g., Close, Open, HL2, etc.)
🔔 Alerts:
Long Signal – A new BUY condition has been detected.
Short Signal – A new SELL condition has been detected.
📌 Use Cases:
Entry timing for swing or intraday trades
Trend confirmation filter
Signal generator in automated strategies (when paired with a strategy scrip
Kalman VWMA For LoopKalman VWMA For Loop Indicator
The Kalman VWMA For Loop indicator is a sophisticated tool designed to smooth price data using a Kalman filter applied to a Volume Weighted Moving Average (VWMA). By combining the VWMA’s volume-weighted price sensitivity with the adaptive noise reduction of a Kalman filter, this indicator provides traders with a robust momentum and trend-following signal. The indicator includes a customizable for-loop mechanism to potentially iterate over a range of calculations or parameters, enhancing flexibility for advanced trading strategies. Visual outputs are plotted to help traders identify trends and potential trading opportunities with reduced noise.
How It Works
VWMA Calculations
Volume Weighted Moving Average (VWMA): Computes a VWMA based on a user-selected price source (default: Close) over a configurable period (default: 14). The VWMA weights price data by trading volume, providing a more accurate representation of market activity compared to a simple moving average.
Kalman Filter Calculation
Kalman Filter: Applies a Kalman filter to the price source to smooth price movements and reduce noise.
The filter uses:
Process Noise: Controls the adaptability of the filter to price changes (default: 0.01).
Measurement Noise: Adjusts sensitivity to price fluctuations (default: 3).
Filter Order (N): Defines the number of states in the Kalman filter (default: 3), allowing for multi-state modeling of price dynamics.
The Kalman filter iteratively predicts and updates the price estimate using state estimates and error covariances stored in arrays. This process minimizes noise while preserving significant price trends.
For-Loop Mechanism
The script includes a for-loop structure with user-defined parameters (from and to_, defaulting to 1 and 25, respectively). While the provided code does not fully implement the for-loop’s functionality, it is intended to allow iterative calculations or parameter sweeps, such as testing multiple periods or thresholds within the specified range. This feature enhances the indicator’s flexibility for optimization or multi-scenario analysis.
Visual Representations
The indicator plots the VWMA as a red line on the chart, providing a clear visual reference for the volume-weighted trend.
The Kalman-filtered price is calculated but not plotted in the provided code. When plotted, it would appear as a smoothed price line, highlighting the underlying trend with reduced noise.
The for-loop parameters suggest potential for additional visual outputs (e.g., multiple VWMA lines or signals) if fully implemented, but the current script only plots the VWMA.
Customization & Parameters
The Kalman VWMA For Loop indicator offers flexible parameters to suit various trading styles:
Moving Average Parameters:
Price Source: Select the input price (default: Close; options: Close, High, Low, Open).
MA Period: Adjust the VWMA calculation period (default: 14).
Kalman Parameters:
Process Noise: Adjusts the filter’s adaptability to price changes (default: 0.01).
Measurement Noise: Controls sensitivity to price fluctuations (default: 3).
Filter Order (N): Sets the number of states for the Kalman filter (default: 3).
For-Loop Parameters:
From: Starting value for the for-loop (default: 1).
To: Ending value for the for-loop (default: 25).
Color Settings: The VWMA is plotted in red, with potential for additional customizable colors if the for-loop is expanded to plot multiple outputs.
Trading Applications
This indicator is versatile and can be applied across various markets and strategies:
Trend Following:
Use the Kalman-filtered price and VWMA to identify the direction and strength of trends, with the smoothed output reducing false signals in volatile markets.
Momentum Trading: The VWMA highlights volume-driven price movements, allowing traders to enter or exit based on momentum shifts.
Parameter Optimization: The for-loop structure (if fully implemented) enables testing multiple VWMA periods or Kalman parameters, aiding in strategy optimization.
Scalping and Swing Trading: Adjust the MA period and Kalman parameters to suit short-term (scalping) or longer-term (swing trading) strategies.
Final Note
The Kalman VWMA For Loop indicator is a powerful tool for traders seeking to combine volume-weighted price analysis with advanced noise reduction via a Kalman filter. Its customizable parameters and potential for iterative calculations through the for-loop make it adaptable to various trading styles. While the for-loop functionality is not fully implemented in the provided code, completing it could enable dynamic parameter testing or signal generation. As with all indicators, backtest thoroughly and integrate into a comprehensive trading strategy for optimal results.
Super-Elliptic BandsThe core of the "Super-Elliptic Bands" indicator lies in its use of a super-ellipse mathematical model to create dynamic price bands around a central Simple Moving Average (SMA). Here's a concise breakdown of its essential components:
Central Moving Average (MA):
A Simple Moving Average (ta.sma(close, maLen)) serves as the baseline, anchoring the bands to the average price over a user-defined period (default: 50 bars).
Super-Ellipse Formula:
The bands are generated using the super-ellipse equation: |y/b| = (1 - |x/a|^p)^(1/p), where:
x is a normalized bar index based on a user-defined cycle period (periodBase, default: 64), scaled to range from -1 to +1.
a = 1 (fixed semi-major axis).
b is the volatility-based semi-minor axis, calculated as volRaw * mult, where volRaw comes from ta.stdev, ta.atr, or ta.tr (user-selectable).
p (shapeP, default: 2.0) controls the band shape:
p = 2: Elliptical bands.
p < 2: Pointier, diamond-like shapes.
p > 2: Flatter, rectangular-like shapes.
This formula creates bands that dynamically adjust their width and shape based on price volatility and a cyclical component.
enjoy....
Flexi MA Heat ZonesOverview
Flexi MA Heat Zones is a powerful multi-timeframe visualization tool that helps traders easily identify trend strength, direction, and potential zones of confluence using multiple moving averages and dynamic heatmaps. The indicator plots up to three pairs of customizable moving averages, with color-coded heat zones to highlight bullish and bearish conditions at a glance.
Whether you're a trend follower, mean-reversion trader, or looking for visual confirmation zones, this indicator is designed to offer deep insights with high customizability.
⚙️ Key Features
🔄 Supports multiple MA types: Choose from EMA, SMA, WMA, VWMA to suit your strategy.
🎯 Six moving averages: Three MA pairs (MA1-MA2, MA3-MA4, MA5-MA6), each with independent lengths and colors.
🌈 Heatmap Zones: Dynamic fills between MA pairs, changing color based on bullish or bearish alignment.
👁️🗨️ Full customization: Enable/disable any MA pair and its heatmap zone from the settings.
🪞 Transparency controls: Adjust the visibility of heat zones for clarity or stylistic preference.
🎨 Color-coded for clarity: Bullish and bearish colors for each heat zone pair, fully user-configurable.
🧩 Efficient layout: Smart use of grouped inputs for easier configuration and visibility management.
📈 How to Use
Use the MA1–MA2 and MA3–MA4 zones for longer-term trend tracking and confluence analysis.
Use the faster MA5–MA6 zone for short-term micro-trend identification or scalping.
When a faster MA is above the slower one within a pair, the fill turns bullish (user-defined color).
When the faster MA is below the slower one, the fill turns bearish.
Combine with price action or other indicators for entry/exit confirmation.
🧠 Pro Tips
For trend-following strategies, consider using EMA or WMA types.
For mean-reversion or support/resistance zones, SMA and VWMA may offer better zone clarity.
Overlay with RSI, MACD, or custom entry signals for higher confidence setups.
Use different heatmap transparencies to visually separate overlapping MA zones.
Volume vs Volatility Trend Signal1 is increasing volume decreasing volatility -1 is decreasing volume increasing volatility 0 is neither
Psychological Levels by BulltrekHello Traders !
This Indicator specifically designed to mark Major price points in terms of Psychological or blind levels for XAU Pairs
You can edit the price points as per your desire and can also use it on other pairs too.
Psychological levels are very crucial price points while trading where major reversals or entry points can be observed.
This Indicator once activated displays a line on the Psychological levels , in case of reset chart settings , you can also customise the chart size in the settings on the indicator.
This Indicator is developed by Rahul Jain - Founder of Bulltrek Technology
ATR as % of CloseATR 14day period in % terms
the Normal ATR indicator by TV helps but this gives a clear idea as to the range in percentage terms as and when market rises to newer and newer highs
better than an absolute value
PHL Sweep Signals(1 Hour)PHL Sweep Signals (Full History)
This indicator is designed to identify high-probability reversal setups by detecting liquidity sweeps of the previous standard hour's high and low (PHL). It provides clear, actionable signals complete with visual aids and a data table to keep you in tune with the higher-timeframe context.
Key Features
Previous Hour Levels: Automatically draws the high and low of the previous standard hour as key reference lines for the current trading hour. The line colors rotate to provide a clear visual separation.
Bearish Sweep Signal: Identifies a specific bearish pattern: a green (bullish) candle that wicks above the previous hour's high but fails to hold, with its body remaining entirely below the line.
Bullish Sweep Signal: Identifies the opposite bullish pattern: a red (bearish) candle that wicks below the previous hour's low but is absorbed, with its body remaining entirely above the line.
Clear Visual Signals: When a signal is confirmed, the indicator provides a multi-faceted alert:
Plots a "Buy" or "Sell" arrow on the chart.
Draws a colored box around the signal candle for easy identification.
Displays a label with the potential Stop Loss size (calculated from the size of the signal candle).
Informative Display Table: Includes a convenient table in the corner showing the Open and Close data for the last 3 hours, helping you stay aware of the broader market context without leaving your chart.
Built-in Alerts: Triggers an alert for every confirmed Buy and Sell signal so you never miss a potential setup.
How to Use
This indicator helps you spot potential exhaustion and reversals at key hourly levels.
A "Sell" signal suggests a failed breakout to the upside, indicating potential weakness and a possible entry for shorts.
A "Buy" signal suggests a failed breakdown to the downside, indicating potential strength and a possible entry for longs.
As with any tool, these signals are most powerful when used as part of a comprehensive trading strategy and combined with your own analysis for confirmation.
Optimal Settings:
Timeframe: 5-Minute
Time Zone: UTC-4 (New York Time)
-ratheeshinv
多维度市场分析指标 v2 (区间框选)使用大周期MACD的能量柱作为背景用于识别趋势并且搭配上伦敦和纽约交易session
we are using a high time frame macd momentum as chart background to analysis a trend and using london and newyork session to help you trade better
